2023-12-23 13:13:42,066 - pyskl - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] CUDA available: True GPU 0: NVIDIA GeForce RTX 3080 CUDA_HOME: /usr NVCC: Cuda compilation tools, release 10.1, V10.1.24 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 PyTorch: 1.11.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - 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_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -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-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -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, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.12.0 OpenCV: 4.8.1 MMCV: 1.5.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.3 pyskl: 0.1.0+ ------------------------------------------------------------ 2023-12-23 13:13:42,799 - pyskl - INFO - Config: modality = 'b' graph = 'nturgb+d' work_dir = './work_dirs/test_prototype/ntu120_xset/b_2' model = dict( type='RecognizerGCN_7_1_1', backbone=dict( type='GCN_7_1_1', tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], graph_cfg=dict( layout='nturgb+d', mode='random', num_filter=8, init_off=0.04, init_std=0.02)), cls_head=dict(type='SimpleHead_7_4_3', num_classes=120, in_channels=384)) dataset_type = 'PoseDataset' ann_file = '/data1/medical/hao.wang/reproduction/hongda.liu/pyskl_data/nturgbd/ntu120_3danno.pkl' train_pipeline = [ dict(type='PreNormalize3D', align_spine=False), dict(type='RandomRot', theta=0.2), dict(type='Spatial_Flip', dataset='nturgb+d', p=0.5), dict(type='GenSkeFeat', feats=['b']), dict(type='UniformSampleDecode', clip_len=100), dict(type='FormatGCNInput'), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] val_pipeline = [ dict(type='PreNormalize3D', align_spine=False), dict(type='GenSkeFeat', feats=['b']), dict(type='UniformSampleDecode', clip_len=100, num_clips=1), dict(type='FormatGCNInput'), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] test_pipeline = [ dict(type='PreNormalize3D', align_spine=False), dict(type='GenSkeFeat', feats=['b']), dict(type='UniformSampleDecode', clip_len=100, num_clips=10), dict(type='FormatGCNInput'), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] data = dict( videos_per_gpu=16, workers_per_gpu=4, test_dataloader=dict(videos_per_gpu=1), train=dict( type='PoseDataset', ann_file= '/data1/medical/hao.wang/reproduction/hongda.liu/pyskl_data/nturgbd/ntu120_3danno.pkl', pipeline=[ dict(type='PreNormalize3D', align_spine=False), dict(type='RandomRot', theta=0.2), dict(type='Spatial_Flip', dataset='nturgb+d', p=0.5), dict(type='GenSkeFeat', feats=['b']), dict(type='UniformSampleDecode', clip_len=100), dict(type='FormatGCNInput'), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='xset_train'), val=dict( type='PoseDataset', ann_file= '/data1/medical/hao.wang/reproduction/hongda.liu/pyskl_data/nturgbd/ntu120_3danno.pkl', pipeline=[ dict(type='PreNormalize3D', align_spine=False), dict(type='GenSkeFeat', feats=['b']), dict(type='UniformSampleDecode', clip_len=100, num_clips=1), dict(type='FormatGCNInput'), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='xset_val'), test=dict( type='PoseDataset', ann_file= '/data1/medical/hao.wang/reproduction/hongda.liu/pyskl_data/nturgbd/ntu120_3danno.pkl', pipeline=[ dict(type='PreNormalize3D', align_spine=False), dict(type='GenSkeFeat', feats=['b']), dict(type='UniformSampleDecode', clip_len=100, num_clips=10), dict(type='FormatGCNInput'), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='xset_val')) optimizer = dict( type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) optimizer_config = dict(grad_clip=None) lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) total_epochs = 150 checkpoint_config = dict(interval=1) evaluation = dict(interval=1, metrics=['top_k_accuracy']) log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) dist_params = dict(backend='nccl') gpu_ids = range(0, 1) 2023-12-23 13:13:42,800 - pyskl - INFO - Set random seed to 240462586, deterministic: False 2023-12-23 13:13:53,700 - pyskl - INFO - 54468 videos remain after valid thresholding 2023-12-23 13:14:08,829 - pyskl - INFO - 59477 videos remain after valid thresholding 2023-12-23 13:14:08,854 - pyskl - INFO - Start running, host: hao.wang@gdp, work_dir: /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2 2023-12-23 13:14:08,854 - pyskl - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) DistSamplerSeedHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2023-12-23 13:14:08,855 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2023-12-23 13:14:08,855 - pyskl - INFO - Checkpoints will be saved to /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2 by HardDiskBackend. 2023-12-23 13:15:00,113 - pyskl - INFO - Epoch [1][100/3405] lr: 2.500e-02, eta: 3 days, 0:42:09, time: 0.513, data_time: 0.253, memory: 5236, top1_acc: 0.0156, top5_acc: 0.0600, loss_cls: 7.8217, loss: 7.8217 2023-12-23 13:15:25,089 - pyskl - INFO - Epoch [1][200/3405] lr: 2.500e-02, eta: 2 days, 6:03:14, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.0262, top5_acc: 0.1194, loss_cls: 7.4121, loss: 7.4121 2023-12-23 13:15:50,356 - pyskl - INFO - Epoch [1][300/3405] lr: 2.500e-02, eta: 1 day, 23:58:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.0475, top5_acc: 0.1506, loss_cls: 7.3635, loss: 7.3635 2023-12-23 13:16:15,487 - pyskl - INFO - Epoch [1][400/3405] lr: 2.500e-02, eta: 1 day, 20:52:36, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.0331, top5_acc: 0.1531, loss_cls: 7.2769, loss: 7.2769 2023-12-23 13:16:40,567 - pyskl - INFO - Epoch [1][500/3405] lr: 2.500e-02, eta: 1 day, 19:00:13, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.0525, top5_acc: 0.1931, loss_cls: 7.5209, loss: 7.5209 2023-12-23 13:17:05,729 - pyskl - INFO - Epoch [1][600/3405] lr: 2.500e-02, eta: 1 day, 17:46:19, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.0575, top5_acc: 0.2256, loss_cls: 7.9147, loss: 7.9147 2023-12-23 13:17:31,068 - pyskl - INFO - Epoch [1][700/3405] lr: 2.500e-02, eta: 1 day, 16:55:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.0706, top5_acc: 0.2656, loss_cls: 7.9086, loss: 7.9086 2023-12-23 13:17:56,647 - pyskl - INFO - Epoch [1][800/3405] lr: 2.500e-02, eta: 1 day, 16:19:56, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.0900, top5_acc: 0.2925, loss_cls: 8.1153, loss: 8.1153 2023-12-23 13:18:22,187 - pyskl - INFO - Epoch [1][900/3405] lr: 2.500e-02, eta: 1 day, 15:51:45, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.0800, top5_acc: 0.3187, loss_cls: 8.2337, loss: 8.2337 2023-12-23 13:18:47,753 - pyskl - INFO - Epoch [1][1000/3405] lr: 2.500e-02, eta: 1 day, 15:29:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.1006, top5_acc: 0.3556, loss_cls: 7.8160, loss: 7.8160 2023-12-23 13:19:12,949 - pyskl - INFO - Epoch [1][1100/3405] lr: 2.500e-02, eta: 1 day, 15:08:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.1119, top5_acc: 0.3569, loss_cls: 7.5727, loss: 7.5727 2023-12-23 13:19:38,190 - pyskl - INFO - Epoch [1][1200/3405] lr: 2.500e-02, eta: 1 day, 14:50:37, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.1106, top5_acc: 0.3887, loss_cls: 7.2660, loss: 7.2660 2023-12-23 13:20:03,566 - pyskl - INFO - Epoch [1][1300/3405] lr: 2.500e-02, eta: 1 day, 14:36:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.1456, top5_acc: 0.4294, loss_cls: 6.8895, loss: 6.8895 2023-12-23 13:20:28,729 - pyskl - INFO - Epoch [1][1400/3405] lr: 2.500e-02, eta: 1 day, 14:23:20, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.1450, top5_acc: 0.4350, loss_cls: 6.5870, loss: 6.5870 2023-12-23 13:20:53,958 - pyskl - INFO - Epoch [1][1500/3405] lr: 2.500e-02, eta: 1 day, 14:12:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.1425, top5_acc: 0.4425, loss_cls: 6.5226, loss: 6.5226 2023-12-23 13:21:19,112 - pyskl - INFO - Epoch [1][1600/3405] lr: 2.500e-02, eta: 1 day, 14:01:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.1681, top5_acc: 0.4906, loss_cls: 6.2315, loss: 6.2315 2023-12-23 13:21:44,257 - pyskl - INFO - Epoch [1][1700/3405] lr: 2.500e-02, eta: 1 day, 13:52:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.1694, top5_acc: 0.4913, loss_cls: 6.1487, loss: 6.1487 2023-12-23 13:22:09,397 - pyskl - INFO - Epoch [1][1800/3405] lr: 2.500e-02, eta: 1 day, 13:44:27, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.1794, top5_acc: 0.4900, loss_cls: 6.0746, loss: 6.0746 2023-12-23 13:22:34,611 - pyskl - INFO - Epoch [1][1900/3405] lr: 2.500e-02, eta: 1 day, 13:37:23, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.1888, top5_acc: 0.5131, loss_cls: 5.9948, loss: 5.9948 2023-12-23 13:22:59,818 - pyskl - INFO - Epoch [1][2000/3405] lr: 2.500e-02, eta: 1 day, 13:30:58, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.2081, top5_acc: 0.5356, loss_cls: 5.9210, loss: 5.9210 2023-12-23 13:23:24,861 - pyskl - INFO - Epoch [1][2100/3405] lr: 2.500e-02, eta: 1 day, 13:24:27, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.2062, top5_acc: 0.5363, loss_cls: 5.8546, loss: 5.8546 2023-12-23 13:23:49,935 - pyskl - INFO - Epoch [1][2200/3405] lr: 2.500e-02, eta: 1 day, 13:18:36, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.2087, top5_acc: 0.5569, loss_cls: 5.8539, loss: 5.8539 2023-12-23 13:24:15,124 - pyskl - INFO - Epoch [1][2300/3405] lr: 2.500e-02, eta: 1 day, 13:13:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.2175, top5_acc: 0.5663, loss_cls: 5.7559, loss: 5.7559 2023-12-23 13:24:40,202 - pyskl - INFO - Epoch [1][2400/3405] lr: 2.500e-02, eta: 1 day, 13:08:41, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.2331, top5_acc: 0.5894, loss_cls: 5.6844, loss: 5.6844 2023-12-23 13:25:05,391 - pyskl - INFO - Epoch [1][2500/3405] lr: 2.500e-02, eta: 1 day, 13:04:28, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.2512, top5_acc: 0.6075, loss_cls: 5.6084, loss: 5.6084 2023-12-23 13:25:30,442 - pyskl - INFO - Epoch [1][2600/3405] lr: 2.500e-02, eta: 1 day, 13:00:05, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.2375, top5_acc: 0.6081, loss_cls: 5.6056, loss: 5.6056 2023-12-23 13:25:55,532 - pyskl - INFO - Epoch [1][2700/3405] lr: 2.500e-02, eta: 1 day, 12:56:07, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.2619, top5_acc: 0.6169, loss_cls: 5.5624, loss: 5.5624 2023-12-23 13:26:20,715 - pyskl - INFO - Epoch [1][2800/3405] lr: 2.500e-02, eta: 1 day, 12:52:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.2319, top5_acc: 0.6156, loss_cls: 5.6123, loss: 5.6123 2023-12-23 13:26:45,828 - pyskl - INFO - Epoch [1][2900/3405] lr: 2.500e-02, eta: 1 day, 12:49:16, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.2506, top5_acc: 0.6338, loss_cls: 5.4917, loss: 5.4917 2023-12-23 13:27:11,166 - pyskl - INFO - Epoch [1][3000/3405] lr: 2.500e-02, eta: 1 day, 12:46:41, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.2838, top5_acc: 0.6506, loss_cls: 5.4548, loss: 5.4548 2023-12-23 13:27:36,738 - pyskl - INFO - Epoch [1][3100/3405] lr: 2.500e-02, eta: 1 day, 12:44:52, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.2875, top5_acc: 0.6850, loss_cls: 5.3824, loss: 5.3824 2023-12-23 13:28:02,214 - pyskl - INFO - Epoch [1][3200/3405] lr: 2.500e-02, eta: 1 day, 12:42:53, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.2969, top5_acc: 0.6569, loss_cls: 5.3517, loss: 5.3517 2023-12-23 13:28:27,403 - pyskl - INFO - Epoch [1][3300/3405] lr: 2.500e-02, eta: 1 day, 12:40:16, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.2950, top5_acc: 0.6769, loss_cls: 5.3430, loss: 5.3430 2023-12-23 13:28:52,694 - pyskl - INFO - Epoch [1][3400/3405] lr: 2.500e-02, eta: 1 day, 12:38:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.3013, top5_acc: 0.6894, loss_cls: 5.3351, loss: 5.3351 2023-12-23 13:28:54,781 - pyskl - INFO - Saving checkpoint at 1 epochs 2023-12-23 13:33:19,211 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:33:19,826 - pyskl - INFO - top1_acc 0.2695 top5_acc 0.6504 2023-12-23 13:33:20,046 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2023-12-23 13:33:20,048 - pyskl - INFO - Best top1_acc is 0.2695 at 1 epoch. 2023-12-23 13:33:20,073 - pyskl - INFO - Epoch(val) [1][3718] top1_acc: 0.2695, top5_acc: 0.6504 2023-12-23 13:34:13,767 - pyskl - INFO - Epoch [2][100/3405] lr: 2.500e-02, eta: 1 day, 13:41:14, time: 0.537, data_time: 0.283, memory: 5236, top1_acc: 0.3144, top5_acc: 0.6769, loss_cls: 5.3221, loss: 5.3221 2023-12-23 13:34:39,432 - pyskl - INFO - Epoch [2][200/3405] lr: 2.500e-02, eta: 1 day, 13:38:15, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.3006, top5_acc: 0.6919, loss_cls: 5.3173, loss: 5.3173 2023-12-23 13:35:05,227 - pyskl - INFO - Epoch [2][300/3405] lr: 2.500e-02, eta: 1 day, 13:35:41, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.3031, top5_acc: 0.6875, loss_cls: 5.3168, loss: 5.3168 2023-12-23 13:35:30,909 - pyskl - INFO - Epoch [2][400/3405] lr: 2.500e-02, eta: 1 day, 13:33:00, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.3394, top5_acc: 0.7000, loss_cls: 5.1938, loss: 5.1938 2023-12-23 13:35:56,336 - pyskl - INFO - Epoch [2][500/3405] lr: 2.500e-02, eta: 1 day, 13:29:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.3300, top5_acc: 0.6963, loss_cls: 5.2292, loss: 5.2292 2023-12-23 13:36:21,896 - pyskl - INFO - Epoch [2][600/3405] lr: 2.500e-02, eta: 1 day, 13:27:10, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.3175, top5_acc: 0.7225, loss_cls: 5.1925, loss: 5.1925 2023-12-23 13:36:46,973 - pyskl - INFO - Epoch [2][700/3405] lr: 2.500e-02, eta: 1 day, 13:23:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.3550, top5_acc: 0.7100, loss_cls: 5.1746, loss: 5.1746 2023-12-23 13:37:12,629 - pyskl - INFO - Epoch [2][800/3405] lr: 2.500e-02, eta: 1 day, 13:21:17, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.3513, top5_acc: 0.7362, loss_cls: 5.1147, loss: 5.1147 2023-12-23 13:37:38,075 - pyskl - INFO - Epoch [2][900/3405] lr: 2.500e-02, eta: 1 day, 13:18:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.3506, top5_acc: 0.7344, loss_cls: 5.1200, loss: 5.1200 2023-12-23 13:38:03,401 - pyskl - INFO - Epoch [2][1000/3405] lr: 2.500e-02, eta: 1 day, 13:15:57, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.3656, top5_acc: 0.7481, loss_cls: 5.0834, loss: 5.0834 2023-12-23 13:38:28,807 - pyskl - INFO - Epoch [2][1100/3405] lr: 2.500e-02, eta: 1 day, 13:13:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.3581, top5_acc: 0.7300, loss_cls: 5.0804, loss: 5.0804 2023-12-23 13:38:53,995 - pyskl - INFO - Epoch [2][1200/3405] lr: 2.499e-02, eta: 1 day, 13:10:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.3769, top5_acc: 0.7419, loss_cls: 5.0193, loss: 5.0193 2023-12-23 13:39:19,185 - pyskl - INFO - Epoch [2][1300/3405] lr: 2.499e-02, eta: 1 day, 13:07:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.3575, top5_acc: 0.7338, loss_cls: 5.1102, loss: 5.1102 2023-12-23 13:39:44,680 - pyskl - INFO - Epoch [2][1400/3405] lr: 2.499e-02, eta: 1 day, 13:05:56, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.3831, top5_acc: 0.7431, loss_cls: 5.0191, loss: 5.0191 2023-12-23 13:40:09,965 - pyskl - INFO - Epoch [2][1500/3405] lr: 2.499e-02, eta: 1 day, 13:03:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.3844, top5_acc: 0.7706, loss_cls: 5.0083, loss: 5.0083 2023-12-23 13:40:35,253 - pyskl - INFO - Epoch [2][1600/3405] lr: 2.499e-02, eta: 1 day, 13:01:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.3669, top5_acc: 0.7512, loss_cls: 5.0192, loss: 5.0192 2023-12-23 13:41:00,753 - pyskl - INFO - Epoch [2][1700/3405] lr: 2.499e-02, eta: 1 day, 12:59:27, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.4163, top5_acc: 0.7562, loss_cls: 4.9289, loss: 4.9289 2023-12-23 13:41:26,055 - pyskl - INFO - Epoch [2][1800/3405] lr: 2.499e-02, eta: 1 day, 12:57:20, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.4188, top5_acc: 0.7831, loss_cls: 4.9124, loss: 4.9124 2023-12-23 13:41:51,075 - pyskl - INFO - Epoch [2][1900/3405] lr: 2.499e-02, eta: 1 day, 12:54:50, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.4225, top5_acc: 0.7744, loss_cls: 4.8953, loss: 4.8953 2023-12-23 13:42:16,090 - pyskl - INFO - Epoch [2][2000/3405] lr: 2.499e-02, eta: 1 day, 12:52:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.4019, top5_acc: 0.7606, loss_cls: 4.9540, loss: 4.9540 2023-12-23 13:42:41,119 - pyskl - INFO - Epoch [2][2100/3405] lr: 2.499e-02, eta: 1 day, 12:50:05, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.4163, top5_acc: 0.7844, loss_cls: 4.8787, loss: 4.8787 2023-12-23 13:43:06,173 - pyskl - INFO - Epoch [2][2200/3405] lr: 2.499e-02, eta: 1 day, 12:47:51, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.4238, top5_acc: 0.7837, loss_cls: 4.8433, loss: 4.8433 2023-12-23 13:43:31,243 - pyskl - INFO - Epoch [2][2300/3405] lr: 2.499e-02, eta: 1 day, 12:45:42, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.4106, top5_acc: 0.7837, loss_cls: 4.8871, loss: 4.8871 2023-12-23 13:43:56,275 - pyskl - INFO - Epoch [2][2400/3405] lr: 2.499e-02, eta: 1 day, 12:43:34, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.4219, top5_acc: 0.7781, loss_cls: 4.8743, loss: 4.8743 2023-12-23 13:44:21,318 - pyskl - INFO - Epoch [2][2500/3405] lr: 2.499e-02, eta: 1 day, 12:41:30, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.4150, top5_acc: 0.7856, loss_cls: 4.8728, loss: 4.8728 2023-12-23 13:44:46,360 - pyskl - INFO - Epoch [2][2600/3405] lr: 2.499e-02, eta: 1 day, 12:39:30, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.4381, top5_acc: 0.8006, loss_cls: 4.8196, loss: 4.8196 2023-12-23 13:45:11,385 - pyskl - INFO - Epoch [2][2700/3405] lr: 2.499e-02, eta: 1 day, 12:37:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.4356, top5_acc: 0.7775, loss_cls: 4.8455, loss: 4.8455 2023-12-23 13:45:36,609 - pyskl - INFO - Epoch [2][2800/3405] lr: 2.499e-02, eta: 1 day, 12:35:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.4338, top5_acc: 0.8131, loss_cls: 4.8085, loss: 4.8085 2023-12-23 13:46:01,663 - pyskl - INFO - Epoch [2][2900/3405] lr: 2.499e-02, eta: 1 day, 12:34:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.4600, top5_acc: 0.8125, loss_cls: 4.7371, loss: 4.7371 2023-12-23 13:46:26,714 - pyskl - INFO - Epoch [2][3000/3405] lr: 2.499e-02, eta: 1 day, 12:32:12, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.4600, top5_acc: 0.8100, loss_cls: 4.7178, loss: 4.7178 2023-12-23 13:46:51,767 - pyskl - INFO - Epoch [2][3100/3405] lr: 2.499e-02, eta: 1 day, 12:30:26, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.4406, top5_acc: 0.8019, loss_cls: 4.7792, loss: 4.7792 2023-12-23 13:47:16,868 - pyskl - INFO - Epoch [2][3200/3405] lr: 2.499e-02, eta: 1 day, 12:28:46, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.4556, top5_acc: 0.8194, loss_cls: 4.7105, loss: 4.7105 2023-12-23 13:47:41,999 - pyskl - INFO - Epoch [2][3300/3405] lr: 2.499e-02, eta: 1 day, 12:27:11, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.4650, top5_acc: 0.8031, loss_cls: 4.7239, loss: 4.7239 2023-12-23 13:48:07,077 - pyskl - INFO - Epoch [2][3400/3405] lr: 2.499e-02, eta: 1 day, 12:25:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.4525, top5_acc: 0.8037, loss_cls: 4.7531, loss: 4.7531 2023-12-23 13:48:08,987 - pyskl - INFO - Saving checkpoint at 2 epochs 2023-12-23 13:52:33,093 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:52:33,707 - pyskl - INFO - top1_acc 0.4582 top5_acc 0.8112 2023-12-23 13:52:33,712 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_1.pth was removed 2023-12-23 13:52:33,925 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2023-12-23 13:52:33,927 - pyskl - INFO - Best top1_acc is 0.4582 at 2 epoch. 2023-12-23 13:52:33,952 - pyskl - INFO - Epoch(val) [2][3718] top1_acc: 0.4582, top5_acc: 0.8112 2023-12-23 13:53:26,908 - pyskl - INFO - Epoch [3][100/3405] lr: 2.499e-02, eta: 1 day, 12:56:15, time: 0.529, data_time: 0.276, memory: 5236, top1_acc: 0.4775, top5_acc: 0.8100, loss_cls: 4.6660, loss: 4.6660 2023-12-23 13:53:52,472 - pyskl - INFO - Epoch [3][200/3405] lr: 2.499e-02, eta: 1 day, 12:54:49, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.4731, top5_acc: 0.8331, loss_cls: 4.6749, loss: 4.6749 2023-12-23 13:54:18,109 - pyskl - INFO - Epoch [3][300/3405] lr: 2.499e-02, eta: 1 day, 12:53:30, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.4731, top5_acc: 0.8356, loss_cls: 4.6281, loss: 4.6281 2023-12-23 13:54:43,588 - pyskl - INFO - Epoch [3][400/3405] lr: 2.499e-02, eta: 1 day, 12:52:02, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.4938, top5_acc: 0.8531, loss_cls: 4.5671, loss: 4.5671 2023-12-23 13:55:09,030 - pyskl - INFO - Epoch [3][500/3405] lr: 2.499e-02, eta: 1 day, 12:50:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.4775, top5_acc: 0.8206, loss_cls: 4.6704, loss: 4.6704 2023-12-23 13:55:34,418 - pyskl - INFO - Epoch [3][600/3405] lr: 2.499e-02, eta: 1 day, 12:49:01, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.4894, top5_acc: 0.8187, loss_cls: 4.6628, loss: 4.6628 2023-12-23 13:56:00,035 - pyskl - INFO - Epoch [3][700/3405] lr: 2.499e-02, eta: 1 day, 12:47:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.5012, top5_acc: 0.8244, loss_cls: 4.6208, loss: 4.6208 2023-12-23 13:56:25,668 - pyskl - INFO - Epoch [3][800/3405] lr: 2.499e-02, eta: 1 day, 12:46:34, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.4713, top5_acc: 0.8231, loss_cls: 4.6636, loss: 4.6636 2023-12-23 13:56:51,154 - pyskl - INFO - Epoch [3][900/3405] lr: 2.499e-02, eta: 1 day, 12:45:14, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.5012, top5_acc: 0.8469, loss_cls: 4.5541, loss: 4.5541 2023-12-23 13:57:16,452 - pyskl - INFO - Epoch [3][1000/3405] lr: 2.499e-02, eta: 1 day, 12:43:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.4925, top5_acc: 0.8281, loss_cls: 4.6146, loss: 4.6146 2023-12-23 13:57:41,778 - pyskl - INFO - Epoch [3][1100/3405] lr: 2.499e-02, eta: 1 day, 12:42:15, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.4900, top5_acc: 0.8450, loss_cls: 4.6040, loss: 4.6040 2023-12-23 13:58:07,054 - pyskl - INFO - Epoch [3][1200/3405] lr: 2.498e-02, eta: 1 day, 12:40:46, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5188, top5_acc: 0.8406, loss_cls: 4.5331, loss: 4.5331 2023-12-23 13:58:32,376 - pyskl - INFO - Epoch [3][1300/3405] lr: 2.498e-02, eta: 1 day, 12:39:21, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.4994, top5_acc: 0.8275, loss_cls: 4.6165, loss: 4.6165 2023-12-23 13:58:57,542 - pyskl - INFO - Epoch [3][1400/3405] lr: 2.498e-02, eta: 1 day, 12:37:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.5288, top5_acc: 0.8444, loss_cls: 4.5467, loss: 4.5467 2023-12-23 13:59:22,803 - pyskl - INFO - Epoch [3][1500/3405] lr: 2.498e-02, eta: 1 day, 12:36:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5081, top5_acc: 0.8556, loss_cls: 4.5333, loss: 4.5333 2023-12-23 13:59:47,934 - pyskl - INFO - Epoch [3][1600/3405] lr: 2.498e-02, eta: 1 day, 12:34:51, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.5081, top5_acc: 0.8394, loss_cls: 4.5582, loss: 4.5582 2023-12-23 14:00:13,003 - pyskl - INFO - Epoch [3][1700/3405] lr: 2.498e-02, eta: 1 day, 12:33:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.5219, top5_acc: 0.8544, loss_cls: 4.4978, loss: 4.4978 2023-12-23 14:00:37,992 - pyskl - INFO - Epoch [3][1800/3405] lr: 2.498e-02, eta: 1 day, 12:31:40, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.5050, top5_acc: 0.8337, loss_cls: 4.5738, loss: 4.5738 2023-12-23 14:01:03,010 - pyskl - INFO - Epoch [3][1900/3405] lr: 2.498e-02, eta: 1 day, 12:30:06, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.5281, top5_acc: 0.8387, loss_cls: 4.5224, loss: 4.5224 2023-12-23 14:01:28,093 - pyskl - INFO - Epoch [3][2000/3405] lr: 2.498e-02, eta: 1 day, 12:28:38, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.5337, top5_acc: 0.8719, loss_cls: 4.4205, loss: 4.4205 2023-12-23 14:01:53,398 - pyskl - INFO - Epoch [3][2100/3405] lr: 2.498e-02, eta: 1 day, 12:27:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5262, top5_acc: 0.8600, loss_cls: 4.4637, loss: 4.4637 2023-12-23 14:02:18,828 - pyskl - INFO - Epoch [3][2200/3405] lr: 2.498e-02, eta: 1 day, 12:26:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.5088, top5_acc: 0.8588, loss_cls: 4.4949, loss: 4.4949 2023-12-23 14:02:43,819 - pyskl - INFO - Epoch [3][2300/3405] lr: 2.498e-02, eta: 1 day, 12:24:47, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.5156, top5_acc: 0.8475, loss_cls: 4.4827, loss: 4.4827 2023-12-23 14:03:08,809 - pyskl - INFO - Epoch [3][2400/3405] lr: 2.498e-02, eta: 1 day, 12:23:19, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.5206, top5_acc: 0.8625, loss_cls: 4.4801, loss: 4.4801 2023-12-23 14:03:33,805 - pyskl - INFO - Epoch [3][2500/3405] lr: 2.498e-02, eta: 1 day, 12:21:52, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.5194, top5_acc: 0.8538, loss_cls: 4.4932, loss: 4.4932 2023-12-23 14:03:58,757 - pyskl - INFO - Epoch [3][2600/3405] lr: 2.498e-02, eta: 1 day, 12:20:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.5325, top5_acc: 0.8350, loss_cls: 4.5248, loss: 4.5248 2023-12-23 14:04:23,719 - pyskl - INFO - Epoch [3][2700/3405] lr: 2.498e-02, eta: 1 day, 12:18:59, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.5531, top5_acc: 0.8625, loss_cls: 4.4182, loss: 4.4182 2023-12-23 14:04:48,710 - pyskl - INFO - Epoch [3][2800/3405] lr: 2.498e-02, eta: 1 day, 12:17:36, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.5050, top5_acc: 0.8600, loss_cls: 4.4947, loss: 4.4947 2023-12-23 14:05:14,282 - pyskl - INFO - Epoch [3][2900/3405] lr: 2.498e-02, eta: 1 day, 12:16:44, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.5344, top5_acc: 0.8506, loss_cls: 4.4334, loss: 4.4334 2023-12-23 14:05:39,689 - pyskl - INFO - Epoch [3][3000/3405] lr: 2.498e-02, eta: 1 day, 12:15:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.5206, top5_acc: 0.8519, loss_cls: 4.4408, loss: 4.4408 2023-12-23 14:06:05,081 - pyskl - INFO - Epoch [3][3100/3405] lr: 2.498e-02, eta: 1 day, 12:14:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.5231, top5_acc: 0.8638, loss_cls: 4.4327, loss: 4.4327 2023-12-23 14:06:30,323 - pyskl - INFO - Epoch [3][3200/3405] lr: 2.498e-02, eta: 1 day, 12:13:37, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.5331, top5_acc: 0.8650, loss_cls: 4.4527, loss: 4.4527 2023-12-23 14:06:55,645 - pyskl - INFO - Epoch [3][3300/3405] lr: 2.498e-02, eta: 1 day, 12:12:36, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5437, top5_acc: 0.8512, loss_cls: 4.4516, loss: 4.4516 2023-12-23 14:07:20,989 - pyskl - INFO - Epoch [3][3400/3405] lr: 2.498e-02, eta: 1 day, 12:11:35, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5200, top5_acc: 0.8512, loss_cls: 4.4630, loss: 4.4630 2023-12-23 14:07:23,118 - pyskl - INFO - Saving checkpoint at 3 epochs 2023-12-23 14:11:46,424 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:11:47,034 - pyskl - INFO - top1_acc 0.5305 top5_acc 0.8550 2023-12-23 14:11:47,039 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_2.pth was removed 2023-12-23 14:11:47,382 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2023-12-23 14:11:47,383 - pyskl - INFO - Best top1_acc is 0.5305 at 3 epoch. 2023-12-23 14:11:47,409 - pyskl - INFO - Epoch(val) [3][3718] top1_acc: 0.5305, top5_acc: 0.8550 2023-12-23 14:12:40,059 - pyskl - INFO - Epoch [4][100/3405] lr: 2.497e-02, eta: 1 day, 12:31:36, time: 0.526, data_time: 0.271, memory: 5236, top1_acc: 0.5312, top5_acc: 0.8612, loss_cls: 4.4529, loss: 4.4529 2023-12-23 14:13:05,563 - pyskl - INFO - Epoch [4][200/3405] lr: 2.497e-02, eta: 1 day, 12:30:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.5450, top5_acc: 0.8712, loss_cls: 4.4066, loss: 4.4066 2023-12-23 14:13:31,104 - pyskl - INFO - Epoch [4][300/3405] lr: 2.497e-02, eta: 1 day, 12:29:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.5619, top5_acc: 0.8788, loss_cls: 4.3299, loss: 4.3299 2023-12-23 14:13:56,875 - pyskl - INFO - Epoch [4][400/3405] lr: 2.497e-02, eta: 1 day, 12:28:42, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.5631, top5_acc: 0.8688, loss_cls: 4.3629, loss: 4.3629 2023-12-23 14:14:22,456 - pyskl - INFO - Epoch [4][500/3405] lr: 2.497e-02, eta: 1 day, 12:27:44, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.5725, top5_acc: 0.8762, loss_cls: 4.3203, loss: 4.3203 2023-12-23 14:14:47,980 - pyskl - INFO - Epoch [4][600/3405] lr: 2.497e-02, eta: 1 day, 12:26:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.5569, top5_acc: 0.8769, loss_cls: 4.3051, loss: 4.3051 2023-12-23 14:15:13,522 - pyskl - INFO - Epoch [4][700/3405] lr: 2.497e-02, eta: 1 day, 12:25:46, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.5406, top5_acc: 0.8688, loss_cls: 4.4026, loss: 4.4026 2023-12-23 14:15:38,635 - pyskl - INFO - Epoch [4][800/3405] lr: 2.497e-02, eta: 1 day, 12:24:29, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.5425, top5_acc: 0.8669, loss_cls: 4.4258, loss: 4.4258 2023-12-23 14:16:04,484 - pyskl - INFO - Epoch [4][900/3405] lr: 2.497e-02, eta: 1 day, 12:23:45, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.5469, top5_acc: 0.8550, loss_cls: 4.4276, loss: 4.4276 2023-12-23 14:16:30,102 - pyskl - INFO - Epoch [4][1000/3405] lr: 2.497e-02, eta: 1 day, 12:22:52, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.5831, top5_acc: 0.8875, loss_cls: 4.2712, loss: 4.2712 2023-12-23 14:16:55,625 - pyskl - INFO - Epoch [4][1100/3405] lr: 2.497e-02, eta: 1 day, 12:21:55, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.5669, top5_acc: 0.8844, loss_cls: 4.3180, loss: 4.3180 2023-12-23 14:17:21,019 - pyskl - INFO - Epoch [4][1200/3405] lr: 2.497e-02, eta: 1 day, 12:20:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.5606, top5_acc: 0.8744, loss_cls: 4.3704, loss: 4.3704 2023-12-23 14:17:46,325 - pyskl - INFO - Epoch [4][1300/3405] lr: 2.497e-02, eta: 1 day, 12:19:48, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5519, top5_acc: 0.8762, loss_cls: 4.3526, loss: 4.3526 2023-12-23 14:18:11,594 - pyskl - INFO - Epoch [4][1400/3405] lr: 2.497e-02, eta: 1 day, 12:18:42, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5913, top5_acc: 0.8831, loss_cls: 4.2458, loss: 4.2458 2023-12-23 14:18:37,107 - pyskl - INFO - Epoch [4][1500/3405] lr: 2.497e-02, eta: 1 day, 12:17:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.5756, top5_acc: 0.8775, loss_cls: 4.3177, loss: 4.3177 2023-12-23 14:19:02,426 - pyskl - INFO - Epoch [4][1600/3405] lr: 2.497e-02, eta: 1 day, 12:16:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5606, top5_acc: 0.8938, loss_cls: 4.2487, loss: 4.2487 2023-12-23 14:19:27,643 - pyskl - INFO - Epoch [4][1700/3405] lr: 2.497e-02, eta: 1 day, 12:15:37, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.5431, top5_acc: 0.8569, loss_cls: 4.3965, loss: 4.3965 2023-12-23 14:19:52,893 - pyskl - INFO - Epoch [4][1800/3405] lr: 2.497e-02, eta: 1 day, 12:14:33, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.5706, top5_acc: 0.8769, loss_cls: 4.3223, loss: 4.3223 2023-12-23 14:20:18,182 - pyskl - INFO - Epoch [4][1900/3405] lr: 2.497e-02, eta: 1 day, 12:13:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5887, top5_acc: 0.8838, loss_cls: 4.2979, loss: 4.2979 2023-12-23 14:20:43,522 - pyskl - INFO - Epoch [4][2000/3405] lr: 2.496e-02, eta: 1 day, 12:12:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5687, top5_acc: 0.8800, loss_cls: 4.3316, loss: 4.3316 2023-12-23 14:21:09,064 - pyskl - INFO - Epoch [4][2100/3405] lr: 2.496e-02, eta: 1 day, 12:11:41, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.5837, top5_acc: 0.8738, loss_cls: 4.3120, loss: 4.3120 2023-12-23 14:21:34,408 - pyskl - INFO - Epoch [4][2200/3405] lr: 2.496e-02, eta: 1 day, 12:10:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5637, top5_acc: 0.8931, loss_cls: 4.2857, loss: 4.2857 2023-12-23 14:21:59,620 - pyskl - INFO - Epoch [4][2300/3405] lr: 2.496e-02, eta: 1 day, 12:09:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.5644, top5_acc: 0.8725, loss_cls: 4.3573, loss: 4.3573 2023-12-23 14:22:24,810 - pyskl - INFO - Epoch [4][2400/3405] lr: 2.496e-02, eta: 1 day, 12:08:37, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.5569, top5_acc: 0.8819, loss_cls: 4.3265, loss: 4.3265 2023-12-23 14:22:50,404 - pyskl - INFO - Epoch [4][2500/3405] lr: 2.496e-02, eta: 1 day, 12:07:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.5906, top5_acc: 0.8925, loss_cls: 4.2363, loss: 4.2363 2023-12-23 14:23:15,631 - pyskl - INFO - Epoch [4][2600/3405] lr: 2.496e-02, eta: 1 day, 12:06:49, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.5550, top5_acc: 0.8669, loss_cls: 4.3733, loss: 4.3733 2023-12-23 14:23:41,064 - pyskl - INFO - Epoch [4][2700/3405] lr: 2.496e-02, eta: 1 day, 12:05:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.5969, top5_acc: 0.8850, loss_cls: 4.2378, loss: 4.2378 2023-12-23 14:24:06,529 - pyskl - INFO - Epoch [4][2800/3405] lr: 2.496e-02, eta: 1 day, 12:05:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.5906, top5_acc: 0.8875, loss_cls: 4.2513, loss: 4.2513 2023-12-23 14:24:31,946 - pyskl - INFO - Epoch [4][2900/3405] lr: 2.496e-02, eta: 1 day, 12:04:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.5856, top5_acc: 0.8850, loss_cls: 4.2881, loss: 4.2881 2023-12-23 14:24:56,978 - pyskl - INFO - Epoch [4][3000/3405] lr: 2.496e-02, eta: 1 day, 12:03:08, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.5713, top5_acc: 0.8825, loss_cls: 4.3031, loss: 4.3031 2023-12-23 14:25:22,193 - pyskl - INFO - Epoch [4][3100/3405] lr: 2.496e-02, eta: 1 day, 12:02:09, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.5675, top5_acc: 0.8794, loss_cls: 4.3282, loss: 4.3282 2023-12-23 14:25:47,836 - pyskl - INFO - Epoch [4][3200/3405] lr: 2.496e-02, eta: 1 day, 12:01:27, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.5756, top5_acc: 0.8906, loss_cls: 4.2777, loss: 4.2777 2023-12-23 14:26:13,106 - pyskl - INFO - Epoch [4][3300/3405] lr: 2.496e-02, eta: 1 day, 12:00:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6019, top5_acc: 0.8875, loss_cls: 4.2352, loss: 4.2352 2023-12-23 14:26:38,748 - pyskl - INFO - Epoch [4][3400/3405] lr: 2.496e-02, eta: 1 day, 11:59:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.5975, top5_acc: 0.8919, loss_cls: 4.1816, loss: 4.1816 2023-12-23 14:26:40,864 - pyskl - INFO - Saving checkpoint at 4 epochs 2023-12-23 14:31:05,217 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:31:05,872 - pyskl - INFO - top1_acc 0.5313 top5_acc 0.8553 2023-12-23 14:31:05,877 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_3.pth was removed 2023-12-23 14:31:06,094 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2023-12-23 14:31:06,096 - pyskl - INFO - Best top1_acc is 0.5313 at 4 epoch. 2023-12-23 14:31:06,123 - pyskl - INFO - Epoch(val) [4][3718] top1_acc: 0.5313, top5_acc: 0.8553 2023-12-23 14:31:59,573 - pyskl - INFO - Epoch [5][100/3405] lr: 2.496e-02, eta: 1 day, 12:15:07, time: 0.534, data_time: 0.281, memory: 5236, top1_acc: 0.5875, top5_acc: 0.8906, loss_cls: 4.2640, loss: 4.2640 2023-12-23 14:32:24,946 - pyskl - INFO - Epoch [5][200/3405] lr: 2.495e-02, eta: 1 day, 12:14:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6006, top5_acc: 0.9062, loss_cls: 4.1861, loss: 4.1861 2023-12-23 14:32:50,342 - pyskl - INFO - Epoch [5][300/3405] lr: 2.495e-02, eta: 1 day, 12:13:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.5962, top5_acc: 0.8931, loss_cls: 4.2225, loss: 4.2225 2023-12-23 14:33:16,009 - pyskl - INFO - Epoch [5][400/3405] lr: 2.495e-02, eta: 1 day, 12:12:25, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.6056, top5_acc: 0.8925, loss_cls: 4.2094, loss: 4.2094 2023-12-23 14:33:41,689 - pyskl - INFO - Epoch [5][500/3405] lr: 2.495e-02, eta: 1 day, 12:11:39, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.5944, top5_acc: 0.8919, loss_cls: 4.2177, loss: 4.2177 2023-12-23 14:34:06,979 - pyskl - INFO - Epoch [5][600/3405] lr: 2.495e-02, eta: 1 day, 12:10:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5694, top5_acc: 0.8806, loss_cls: 4.3168, loss: 4.3168 2023-12-23 14:34:32,492 - pyskl - INFO - Epoch [5][700/3405] lr: 2.495e-02, eta: 1 day, 12:09:49, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.5938, top5_acc: 0.8831, loss_cls: 4.2516, loss: 4.2516 2023-12-23 14:34:57,908 - pyskl - INFO - Epoch [5][800/3405] lr: 2.495e-02, eta: 1 day, 12:08:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6238, top5_acc: 0.8994, loss_cls: 4.1249, loss: 4.1249 2023-12-23 14:35:23,540 - pyskl - INFO - Epoch [5][900/3405] lr: 2.495e-02, eta: 1 day, 12:08:08, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.5725, top5_acc: 0.8862, loss_cls: 4.2699, loss: 4.2699 2023-12-23 14:35:49,157 - pyskl - INFO - Epoch [5][1000/3405] lr: 2.495e-02, eta: 1 day, 12:07:22, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.5775, top5_acc: 0.8881, loss_cls: 4.2631, loss: 4.2631 2023-12-23 14:36:14,694 - pyskl - INFO - Epoch [5][1100/3405] lr: 2.495e-02, eta: 1 day, 12:06:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6100, top5_acc: 0.9069, loss_cls: 4.1798, loss: 4.1798 2023-12-23 14:36:39,984 - pyskl - INFO - Epoch [5][1200/3405] lr: 2.495e-02, eta: 1 day, 12:05:36, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5925, top5_acc: 0.8981, loss_cls: 4.2416, loss: 4.2416 2023-12-23 14:37:05,259 - pyskl - INFO - Epoch [5][1300/3405] lr: 2.495e-02, eta: 1 day, 12:04:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.5975, top5_acc: 0.9006, loss_cls: 4.1867, loss: 4.1867 2023-12-23 14:37:30,362 - pyskl - INFO - Epoch [5][1400/3405] lr: 2.495e-02, eta: 1 day, 12:03:37, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6081, top5_acc: 0.8888, loss_cls: 4.1643, loss: 4.1643 2023-12-23 14:37:55,653 - pyskl - INFO - Epoch [5][1500/3405] lr: 2.495e-02, eta: 1 day, 12:02:41, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6019, top5_acc: 0.8906, loss_cls: 4.2071, loss: 4.2071 2023-12-23 14:38:20,818 - pyskl - INFO - Epoch [5][1600/3405] lr: 2.495e-02, eta: 1 day, 12:01:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6100, top5_acc: 0.8856, loss_cls: 4.2108, loss: 4.2108 2023-12-23 14:38:46,047 - pyskl - INFO - Epoch [5][1700/3405] lr: 2.494e-02, eta: 1 day, 12:00:45, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6319, top5_acc: 0.9119, loss_cls: 4.0998, loss: 4.0998 2023-12-23 14:39:11,251 - pyskl - INFO - Epoch [5][1800/3405] lr: 2.494e-02, eta: 1 day, 11:59:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6144, top5_acc: 0.8894, loss_cls: 4.1856, loss: 4.1856 2023-12-23 14:39:36,636 - pyskl - INFO - Epoch [5][1900/3405] lr: 2.494e-02, eta: 1 day, 11:58:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6056, top5_acc: 0.9025, loss_cls: 4.1671, loss: 4.1671 2023-12-23 14:40:01,693 - pyskl - INFO - Epoch [5][2000/3405] lr: 2.494e-02, eta: 1 day, 11:57:56, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.5894, top5_acc: 0.8838, loss_cls: 4.2599, loss: 4.2599 2023-12-23 14:40:26,989 - pyskl - INFO - Epoch [5][2100/3405] lr: 2.494e-02, eta: 1 day, 11:57:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6025, top5_acc: 0.8881, loss_cls: 4.2108, loss: 4.2108 2023-12-23 14:40:52,379 - pyskl - INFO - Epoch [5][2200/3405] lr: 2.494e-02, eta: 1 day, 11:56:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.5906, top5_acc: 0.8800, loss_cls: 4.2369, loss: 4.2369 2023-12-23 14:41:17,838 - pyskl - INFO - Epoch [5][2300/3405] lr: 2.494e-02, eta: 1 day, 11:55:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6212, top5_acc: 0.8975, loss_cls: 4.1482, loss: 4.1482 2023-12-23 14:41:43,022 - pyskl - INFO - Epoch [5][2400/3405] lr: 2.494e-02, eta: 1 day, 11:54:30, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6275, top5_acc: 0.9038, loss_cls: 4.1283, loss: 4.1283 2023-12-23 14:42:08,084 - pyskl - INFO - Epoch [5][2500/3405] lr: 2.494e-02, eta: 1 day, 11:53:31, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.5913, top5_acc: 0.8881, loss_cls: 4.2093, loss: 4.2093 2023-12-23 14:42:33,139 - pyskl - INFO - Epoch [5][2600/3405] lr: 2.494e-02, eta: 1 day, 11:52:32, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6200, top5_acc: 0.9069, loss_cls: 4.1609, loss: 4.1609 2023-12-23 14:42:58,591 - pyskl - INFO - Epoch [5][2700/3405] lr: 2.494e-02, eta: 1 day, 11:51:46, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6031, top5_acc: 0.9012, loss_cls: 4.1808, loss: 4.1808 2023-12-23 14:43:24,189 - pyskl - INFO - Epoch [5][2800/3405] lr: 2.494e-02, eta: 1 day, 11:51:04, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6062, top5_acc: 0.8944, loss_cls: 4.2254, loss: 4.2254 2023-12-23 14:43:49,347 - pyskl - INFO - Epoch [5][2900/3405] lr: 2.494e-02, eta: 1 day, 11:50:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.5969, top5_acc: 0.8888, loss_cls: 4.2079, loss: 4.2079 2023-12-23 14:44:14,469 - pyskl - INFO - Epoch [5][3000/3405] lr: 2.493e-02, eta: 1 day, 11:49:15, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6375, top5_acc: 0.9144, loss_cls: 4.0679, loss: 4.0679 2023-12-23 14:44:39,696 - pyskl - INFO - Epoch [5][3100/3405] lr: 2.493e-02, eta: 1 day, 11:48:23, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6081, top5_acc: 0.8969, loss_cls: 4.1792, loss: 4.1792 2023-12-23 14:45:04,971 - pyskl - INFO - Epoch [5][3200/3405] lr: 2.493e-02, eta: 1 day, 11:47:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6038, top5_acc: 0.9075, loss_cls: 4.1735, loss: 4.1735 2023-12-23 14:45:30,028 - pyskl - INFO - Epoch [5][3300/3405] lr: 2.493e-02, eta: 1 day, 11:46:36, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6256, top5_acc: 0.9144, loss_cls: 4.0887, loss: 4.0887 2023-12-23 14:45:54,963 - pyskl - INFO - Epoch [5][3400/3405] lr: 2.493e-02, eta: 1 day, 11:45:37, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.6125, top5_acc: 0.9025, loss_cls: 4.1524, loss: 4.1524 2023-12-23 14:45:56,857 - pyskl - INFO - Saving checkpoint at 5 epochs 2023-12-23 14:50:21,656 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:50:22,271 - pyskl - INFO - top1_acc 0.5692 top5_acc 0.8774 2023-12-23 14:50:22,275 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_4.pth was removed 2023-12-23 14:50:22,496 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. 2023-12-23 14:50:22,498 - pyskl - INFO - Best top1_acc is 0.5692 at 5 epoch. 2023-12-23 14:50:22,531 - pyskl - INFO - Epoch(val) [5][3718] top1_acc: 0.5692, top5_acc: 0.8774 2023-12-23 14:51:15,639 - pyskl - INFO - Epoch [6][100/3405] lr: 2.493e-02, eta: 1 day, 11:57:31, time: 0.531, data_time: 0.275, memory: 5236, top1_acc: 0.6250, top5_acc: 0.9012, loss_cls: 4.1546, loss: 4.1546 2023-12-23 14:51:41,153 - pyskl - INFO - Epoch [6][200/3405] lr: 2.493e-02, eta: 1 day, 11:56:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6438, top5_acc: 0.9137, loss_cls: 4.0723, loss: 4.0723 2023-12-23 14:52:06,744 - pyskl - INFO - Epoch [6][300/3405] lr: 2.493e-02, eta: 1 day, 11:56:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6312, top5_acc: 0.9094, loss_cls: 4.1133, loss: 4.1133 2023-12-23 14:52:32,520 - pyskl - INFO - Epoch [6][400/3405] lr: 2.493e-02, eta: 1 day, 11:55:21, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.6075, top5_acc: 0.9106, loss_cls: 4.1357, loss: 4.1357 2023-12-23 14:52:58,178 - pyskl - INFO - Epoch [6][500/3405] lr: 2.493e-02, eta: 1 day, 11:54:40, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.6106, top5_acc: 0.8900, loss_cls: 4.1948, loss: 4.1948 2023-12-23 14:53:23,394 - pyskl - INFO - Epoch [6][600/3405] lr: 2.493e-02, eta: 1 day, 11:53:46, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6088, top5_acc: 0.9100, loss_cls: 4.1375, loss: 4.1375 2023-12-23 14:53:48,490 - pyskl - INFO - Epoch [6][700/3405] lr: 2.493e-02, eta: 1 day, 11:52:48, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6262, top5_acc: 0.9000, loss_cls: 4.1297, loss: 4.1297 2023-12-23 14:54:14,042 - pyskl - INFO - Epoch [6][800/3405] lr: 2.492e-02, eta: 1 day, 11:52:04, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6262, top5_acc: 0.9019, loss_cls: 4.1303, loss: 4.1303 2023-12-23 14:54:39,608 - pyskl - INFO - Epoch [6][900/3405] lr: 2.492e-02, eta: 1 day, 11:51:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6225, top5_acc: 0.9012, loss_cls: 4.1087, loss: 4.1087 2023-12-23 14:55:05,266 - pyskl - INFO - Epoch [6][1000/3405] lr: 2.492e-02, eta: 1 day, 11:50:40, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.6144, top5_acc: 0.8919, loss_cls: 4.1596, loss: 4.1596 2023-12-23 14:55:30,503 - pyskl - INFO - Epoch [6][1100/3405] lr: 2.492e-02, eta: 1 day, 11:49:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6331, top5_acc: 0.9144, loss_cls: 4.1058, loss: 4.1058 2023-12-23 14:55:55,738 - pyskl - INFO - Epoch [6][1200/3405] lr: 2.492e-02, eta: 1 day, 11:48:56, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6244, top5_acc: 0.9000, loss_cls: 4.1081, loss: 4.1081 2023-12-23 14:56:21,155 - pyskl - INFO - Epoch [6][1300/3405] lr: 2.492e-02, eta: 1 day, 11:48:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6275, top5_acc: 0.9125, loss_cls: 4.0954, loss: 4.0954 2023-12-23 14:56:46,380 - pyskl - INFO - Epoch [6][1400/3405] lr: 2.492e-02, eta: 1 day, 11:47:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6362, top5_acc: 0.9075, loss_cls: 4.1196, loss: 4.1196 2023-12-23 14:57:11,634 - pyskl - INFO - Epoch [6][1500/3405] lr: 2.492e-02, eta: 1 day, 11:46:27, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6444, top5_acc: 0.9187, loss_cls: 4.0509, loss: 4.0509 2023-12-23 14:57:37,042 - pyskl - INFO - Epoch [6][1600/3405] lr: 2.492e-02, eta: 1 day, 11:45:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6500, top5_acc: 0.9031, loss_cls: 4.0785, loss: 4.0785 2023-12-23 14:58:02,457 - pyskl - INFO - Epoch [6][1700/3405] lr: 2.492e-02, eta: 1 day, 11:44:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6169, top5_acc: 0.9050, loss_cls: 4.1506, loss: 4.1506 2023-12-23 14:58:27,820 - pyskl - INFO - Epoch [6][1800/3405] lr: 2.492e-02, eta: 1 day, 11:44:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6519, top5_acc: 0.9156, loss_cls: 4.0500, loss: 4.0500 2023-12-23 14:58:53,329 - pyskl - INFO - Epoch [6][1900/3405] lr: 2.492e-02, eta: 1 day, 11:43:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6206, top5_acc: 0.9113, loss_cls: 4.1287, loss: 4.1287 2023-12-23 14:59:18,514 - pyskl - INFO - Epoch [6][2000/3405] lr: 2.491e-02, eta: 1 day, 11:42:34, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6281, top5_acc: 0.8969, loss_cls: 4.1514, loss: 4.1514 2023-12-23 14:59:43,718 - pyskl - INFO - Epoch [6][2100/3405] lr: 2.491e-02, eta: 1 day, 11:41:44, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6238, top5_acc: 0.9169, loss_cls: 4.0860, loss: 4.0860 2023-12-23 15:00:09,140 - pyskl - INFO - Epoch [6][2200/3405] lr: 2.491e-02, eta: 1 day, 11:41:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6475, top5_acc: 0.9113, loss_cls: 4.0484, loss: 4.0484 2023-12-23 15:00:34,448 - pyskl - INFO - Epoch [6][2300/3405] lr: 2.491e-02, eta: 1 day, 11:40:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6375, top5_acc: 0.9062, loss_cls: 4.0958, loss: 4.0958 2023-12-23 15:00:59,822 - pyskl - INFO - Epoch [6][2400/3405] lr: 2.491e-02, eta: 1 day, 11:39:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6381, top5_acc: 0.9038, loss_cls: 4.0894, loss: 4.0894 2023-12-23 15:01:25,055 - pyskl - INFO - Epoch [6][2500/3405] lr: 2.491e-02, eta: 1 day, 11:38:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6456, top5_acc: 0.9000, loss_cls: 4.0935, loss: 4.0935 2023-12-23 15:01:50,482 - pyskl - INFO - Epoch [6][2600/3405] lr: 2.491e-02, eta: 1 day, 11:37:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6419, top5_acc: 0.9137, loss_cls: 4.0684, loss: 4.0684 2023-12-23 15:02:15,740 - pyskl - INFO - Epoch [6][2700/3405] lr: 2.491e-02, eta: 1 day, 11:37:07, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6419, top5_acc: 0.9137, loss_cls: 4.0547, loss: 4.0547 2023-12-23 15:02:41,177 - pyskl - INFO - Epoch [6][2800/3405] lr: 2.491e-02, eta: 1 day, 11:36:24, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6362, top5_acc: 0.9019, loss_cls: 4.0912, loss: 4.0912 2023-12-23 15:03:06,530 - pyskl - INFO - Epoch [6][2900/3405] lr: 2.491e-02, eta: 1 day, 11:35:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6169, top5_acc: 0.9094, loss_cls: 4.1172, loss: 4.1172 2023-12-23 15:03:31,662 - pyskl - INFO - Epoch [6][3000/3405] lr: 2.491e-02, eta: 1 day, 11:34:50, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6188, top5_acc: 0.8925, loss_cls: 4.1937, loss: 4.1937 2023-12-23 15:03:56,692 - pyskl - INFO - Epoch [6][3100/3405] lr: 2.490e-02, eta: 1 day, 11:33:57, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6181, top5_acc: 0.9050, loss_cls: 4.1448, loss: 4.1448 2023-12-23 15:04:21,700 - pyskl - INFO - Epoch [6][3200/3405] lr: 2.490e-02, eta: 1 day, 11:33:05, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6431, top5_acc: 0.9094, loss_cls: 4.0726, loss: 4.0726 2023-12-23 15:04:46,701 - pyskl - INFO - Epoch [6][3300/3405] lr: 2.490e-02, eta: 1 day, 11:32:12, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6000, top5_acc: 0.8931, loss_cls: 4.1944, loss: 4.1944 2023-12-23 15:05:11,714 - pyskl - INFO - Epoch [6][3400/3405] lr: 2.490e-02, eta: 1 day, 11:31:21, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6475, top5_acc: 0.9069, loss_cls: 4.0329, loss: 4.0329 2023-12-23 15:05:13,607 - pyskl - INFO - Saving checkpoint at 6 epochs 2023-12-23 15:09:37,164 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:09:37,799 - pyskl - INFO - top1_acc 0.6001 top5_acc 0.8816 2023-12-23 15:09:37,806 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_5.pth was removed 2023-12-23 15:09:38,050 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. 2023-12-23 15:09:38,052 - pyskl - INFO - Best top1_acc is 0.6001 at 6 epoch. 2023-12-23 15:09:38,083 - pyskl - INFO - Epoch(val) [6][3718] top1_acc: 0.6001, top5_acc: 0.8816 2023-12-23 15:10:31,373 - pyskl - INFO - Epoch [7][100/3405] lr: 2.490e-02, eta: 1 day, 11:41:11, time: 0.533, data_time: 0.281, memory: 5236, top1_acc: 0.6338, top5_acc: 0.9094, loss_cls: 4.0937, loss: 4.0937 2023-12-23 15:10:56,726 - pyskl - INFO - Epoch [7][200/3405] lr: 2.490e-02, eta: 1 day, 11:40:25, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6350, top5_acc: 0.9169, loss_cls: 4.0742, loss: 4.0742 2023-12-23 15:11:22,277 - pyskl - INFO - Epoch [7][300/3405] lr: 2.490e-02, eta: 1 day, 11:39:43, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6512, top5_acc: 0.9231, loss_cls: 4.0046, loss: 4.0046 2023-12-23 15:11:47,741 - pyskl - INFO - Epoch [7][400/3405] lr: 2.490e-02, eta: 1 day, 11:39:00, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6425, top5_acc: 0.9206, loss_cls: 4.0387, loss: 4.0387 2023-12-23 15:12:13,366 - pyskl - INFO - Epoch [7][500/3405] lr: 2.490e-02, eta: 1 day, 11:38:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6419, top5_acc: 0.9181, loss_cls: 4.0401, loss: 4.0401 2023-12-23 15:12:38,822 - pyskl - INFO - Epoch [7][600/3405] lr: 2.490e-02, eta: 1 day, 11:37:37, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6606, top5_acc: 0.9281, loss_cls: 4.0162, loss: 4.0162 2023-12-23 15:13:04,353 - pyskl - INFO - Epoch [7][700/3405] lr: 2.489e-02, eta: 1 day, 11:36:55, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6600, top5_acc: 0.9175, loss_cls: 4.0443, loss: 4.0443 2023-12-23 15:13:29,861 - pyskl - INFO - Epoch [7][800/3405] lr: 2.489e-02, eta: 1 day, 11:36:13, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6556, top5_acc: 0.9087, loss_cls: 4.0299, loss: 4.0299 2023-12-23 15:13:55,459 - pyskl - INFO - Epoch [7][900/3405] lr: 2.489e-02, eta: 1 day, 11:35:34, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6637, top5_acc: 0.9206, loss_cls: 3.9951, loss: 3.9951 2023-12-23 15:14:21,006 - pyskl - INFO - Epoch [7][1000/3405] lr: 2.489e-02, eta: 1 day, 11:34:53, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6475, top5_acc: 0.9206, loss_cls: 4.0346, loss: 4.0346 2023-12-23 15:14:46,497 - pyskl - INFO - Epoch [7][1100/3405] lr: 2.489e-02, eta: 1 day, 11:34:11, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6650, top5_acc: 0.9125, loss_cls: 3.9973, loss: 3.9973 2023-12-23 15:15:11,879 - pyskl - INFO - Epoch [7][1200/3405] lr: 2.489e-02, eta: 1 day, 11:33:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6500, top5_acc: 0.9119, loss_cls: 4.0447, loss: 4.0447 2023-12-23 15:15:37,189 - pyskl - INFO - Epoch [7][1300/3405] lr: 2.489e-02, eta: 1 day, 11:32:42, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6381, top5_acc: 0.9106, loss_cls: 4.0769, loss: 4.0769 2023-12-23 15:16:02,194 - pyskl - INFO - Epoch [7][1400/3405] lr: 2.489e-02, eta: 1 day, 11:31:49, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6450, top5_acc: 0.9206, loss_cls: 4.0363, loss: 4.0363 2023-12-23 15:16:27,174 - pyskl - INFO - Epoch [7][1500/3405] lr: 2.489e-02, eta: 1 day, 11:30:57, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6631, top5_acc: 0.9169, loss_cls: 4.0246, loss: 4.0246 2023-12-23 15:16:52,490 - pyskl - INFO - Epoch [7][1600/3405] lr: 2.489e-02, eta: 1 day, 11:30:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6562, top5_acc: 0.9275, loss_cls: 3.9942, loss: 3.9942 2023-12-23 15:17:17,959 - pyskl - INFO - Epoch [7][1700/3405] lr: 2.488e-02, eta: 1 day, 11:29:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6512, top5_acc: 0.9100, loss_cls: 4.0333, loss: 4.0333 2023-12-23 15:17:43,020 - pyskl - INFO - Epoch [7][1800/3405] lr: 2.488e-02, eta: 1 day, 11:28:41, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6362, top5_acc: 0.9062, loss_cls: 4.1417, loss: 4.1417 2023-12-23 15:18:08,289 - pyskl - INFO - Epoch [7][1900/3405] lr: 2.488e-02, eta: 1 day, 11:27:55, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6412, top5_acc: 0.9075, loss_cls: 4.0919, loss: 4.0919 2023-12-23 15:18:33,564 - pyskl - INFO - Epoch [7][2000/3405] lr: 2.488e-02, eta: 1 day, 11:27:10, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6350, top5_acc: 0.9137, loss_cls: 4.0862, loss: 4.0862 2023-12-23 15:18:58,889 - pyskl - INFO - Epoch [7][2100/3405] lr: 2.488e-02, eta: 1 day, 11:26:27, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6500, top5_acc: 0.9031, loss_cls: 4.0591, loss: 4.0591 2023-12-23 15:19:24,089 - pyskl - INFO - Epoch [7][2200/3405] lr: 2.488e-02, eta: 1 day, 11:25:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6656, top5_acc: 0.9094, loss_cls: 3.9918, loss: 3.9918 2023-12-23 15:19:49,191 - pyskl - INFO - Epoch [7][2300/3405] lr: 2.488e-02, eta: 1 day, 11:24:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6569, top5_acc: 0.9175, loss_cls: 4.0200, loss: 4.0200 2023-12-23 15:20:14,358 - pyskl - INFO - Epoch [7][2400/3405] lr: 2.488e-02, eta: 1 day, 11:24:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6231, top5_acc: 0.9031, loss_cls: 4.1179, loss: 4.1179 2023-12-23 15:20:39,405 - pyskl - INFO - Epoch [7][2500/3405] lr: 2.488e-02, eta: 1 day, 11:23:17, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6444, top5_acc: 0.9187, loss_cls: 4.0810, loss: 4.0810 2023-12-23 15:21:04,698 - pyskl - INFO - Epoch [7][2600/3405] lr: 2.487e-02, eta: 1 day, 11:22:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6369, top5_acc: 0.9156, loss_cls: 4.0320, loss: 4.0320 2023-12-23 15:21:29,955 - pyskl - INFO - Epoch [7][2700/3405] lr: 2.487e-02, eta: 1 day, 11:21:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6544, top5_acc: 0.9087, loss_cls: 4.0373, loss: 4.0373 2023-12-23 15:21:55,112 - pyskl - INFO - Epoch [7][2800/3405] lr: 2.487e-02, eta: 1 day, 11:21:03, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6512, top5_acc: 0.9156, loss_cls: 4.0164, loss: 4.0164 2023-12-23 15:22:20,380 - pyskl - INFO - Epoch [7][2900/3405] lr: 2.487e-02, eta: 1 day, 11:20:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6394, top5_acc: 0.9181, loss_cls: 4.0487, loss: 4.0487 2023-12-23 15:22:45,507 - pyskl - INFO - Epoch [7][3000/3405] lr: 2.487e-02, eta: 1 day, 11:19:33, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6681, top5_acc: 0.9131, loss_cls: 4.0034, loss: 4.0034 2023-12-23 15:23:10,684 - pyskl - INFO - Epoch [7][3100/3405] lr: 2.487e-02, eta: 1 day, 11:18:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6663, top5_acc: 0.9144, loss_cls: 4.0080, loss: 4.0080 2023-12-23 15:23:35,860 - pyskl - INFO - Epoch [7][3200/3405] lr: 2.487e-02, eta: 1 day, 11:18:03, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6713, top5_acc: 0.9287, loss_cls: 3.9709, loss: 3.9709 2023-12-23 15:24:00,963 - pyskl - INFO - Epoch [7][3300/3405] lr: 2.487e-02, eta: 1 day, 11:17:16, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6538, top5_acc: 0.9175, loss_cls: 4.0095, loss: 4.0095 2023-12-23 15:24:26,050 - pyskl - INFO - Epoch [7][3400/3405] lr: 2.487e-02, eta: 1 day, 11:16:30, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6444, top5_acc: 0.9181, loss_cls: 4.0550, loss: 4.0550 2023-12-23 15:24:28,017 - pyskl - INFO - Saving checkpoint at 7 epochs 2023-12-23 15:28:51,883 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:28:52,519 - pyskl - INFO - top1_acc 0.6379 top5_acc 0.9040 2023-12-23 15:28:52,524 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_6.pth was removed 2023-12-23 15:28:52,744 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. 2023-12-23 15:28:52,745 - pyskl - INFO - Best top1_acc is 0.6379 at 7 epoch. 2023-12-23 15:28:52,773 - pyskl - INFO - Epoch(val) [7][3718] top1_acc: 0.6379, top5_acc: 0.9040 2023-12-23 15:29:46,166 - pyskl - INFO - Epoch [8][100/3405] lr: 2.486e-02, eta: 1 day, 11:24:51, time: 0.534, data_time: 0.278, memory: 5236, top1_acc: 0.6512, top5_acc: 0.9125, loss_cls: 4.0227, loss: 4.0227 2023-12-23 15:30:11,690 - pyskl - INFO - Epoch [8][200/3405] lr: 2.486e-02, eta: 1 day, 11:24:12, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6594, top5_acc: 0.9163, loss_cls: 3.9958, loss: 3.9958 2023-12-23 15:30:37,208 - pyskl - INFO - Epoch [8][300/3405] lr: 2.486e-02, eta: 1 day, 11:23:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6763, top5_acc: 0.9237, loss_cls: 3.9303, loss: 3.9303 2023-12-23 15:31:02,877 - pyskl - INFO - Epoch [8][400/3405] lr: 2.486e-02, eta: 1 day, 11:22:55, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.6694, top5_acc: 0.9231, loss_cls: 3.9671, loss: 3.9671 2023-12-23 15:31:28,270 - pyskl - INFO - Epoch [8][500/3405] lr: 2.486e-02, eta: 1 day, 11:22:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6544, top5_acc: 0.9137, loss_cls: 4.0279, loss: 4.0279 2023-12-23 15:31:53,738 - pyskl - INFO - Epoch [8][600/3405] lr: 2.486e-02, eta: 1 day, 11:21:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6713, top5_acc: 0.9250, loss_cls: 3.9735, loss: 3.9735 2023-12-23 15:32:19,293 - pyskl - INFO - Epoch [8][700/3405] lr: 2.486e-02, eta: 1 day, 11:20:55, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6637, top5_acc: 0.9231, loss_cls: 3.9643, loss: 3.9643 2023-12-23 15:32:44,340 - pyskl - INFO - Epoch [8][800/3405] lr: 2.486e-02, eta: 1 day, 11:20:06, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6687, top5_acc: 0.9331, loss_cls: 3.9408, loss: 3.9408 2023-12-23 15:33:09,651 - pyskl - INFO - Epoch [8][900/3405] lr: 2.486e-02, eta: 1 day, 11:19:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6869, top5_acc: 0.9294, loss_cls: 3.9135, loss: 3.9135 2023-12-23 15:33:35,197 - pyskl - INFO - Epoch [8][1000/3405] lr: 2.485e-02, eta: 1 day, 11:18:45, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6350, top5_acc: 0.9200, loss_cls: 4.0544, loss: 4.0544 2023-12-23 15:34:00,714 - pyskl - INFO - Epoch [8][1100/3405] lr: 2.485e-02, eta: 1 day, 11:18:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6538, top5_acc: 0.9137, loss_cls: 4.0548, loss: 4.0548 2023-12-23 15:34:25,879 - pyskl - INFO - Epoch [8][1200/3405] lr: 2.485e-02, eta: 1 day, 11:17:21, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6637, top5_acc: 0.9194, loss_cls: 4.0003, loss: 4.0003 2023-12-23 15:34:50,923 - pyskl - INFO - Epoch [8][1300/3405] lr: 2.485e-02, eta: 1 day, 11:16:33, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6850, top5_acc: 0.9306, loss_cls: 3.9299, loss: 3.9299 2023-12-23 15:35:15,930 - pyskl - INFO - Epoch [8][1400/3405] lr: 2.485e-02, eta: 1 day, 11:15:45, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6713, top5_acc: 0.9094, loss_cls: 4.0213, loss: 4.0213 2023-12-23 15:35:40,924 - pyskl - INFO - Epoch [8][1500/3405] lr: 2.485e-02, eta: 1 day, 11:14:57, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6469, top5_acc: 0.9194, loss_cls: 4.0066, loss: 4.0066 2023-12-23 15:36:05,907 - pyskl - INFO - Epoch [8][1600/3405] lr: 2.485e-02, eta: 1 day, 11:14:08, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6625, top5_acc: 0.9144, loss_cls: 4.0102, loss: 4.0102 2023-12-23 15:36:31,015 - pyskl - INFO - Epoch [8][1700/3405] lr: 2.485e-02, eta: 1 day, 11:13:23, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6562, top5_acc: 0.9194, loss_cls: 4.0409, loss: 4.0409 2023-12-23 15:36:56,283 - pyskl - INFO - Epoch [8][1800/3405] lr: 2.484e-02, eta: 1 day, 11:12:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6544, top5_acc: 0.9281, loss_cls: 4.0123, loss: 4.0123 2023-12-23 15:37:21,350 - pyskl - INFO - Epoch [8][1900/3405] lr: 2.484e-02, eta: 1 day, 11:11:54, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6687, top5_acc: 0.9213, loss_cls: 3.9734, loss: 3.9734 2023-12-23 15:37:46,530 - pyskl - INFO - Epoch [8][2000/3405] lr: 2.484e-02, eta: 1 day, 11:11:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6481, top5_acc: 0.9069, loss_cls: 4.0602, loss: 4.0602 2023-12-23 15:38:11,628 - pyskl - INFO - Epoch [8][2100/3405] lr: 2.484e-02, eta: 1 day, 11:10:25, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6500, top5_acc: 0.9244, loss_cls: 4.0158, loss: 4.0158 2023-12-23 15:38:36,901 - pyskl - INFO - Epoch [8][2200/3405] lr: 2.484e-02, eta: 1 day, 11:09:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6469, top5_acc: 0.9156, loss_cls: 4.0292, loss: 4.0292 2023-12-23 15:39:01,898 - pyskl - INFO - Epoch [8][2300/3405] lr: 2.484e-02, eta: 1 day, 11:08:56, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6531, top5_acc: 0.9137, loss_cls: 4.0075, loss: 4.0075 2023-12-23 15:39:26,875 - pyskl - INFO - Epoch [8][2400/3405] lr: 2.484e-02, eta: 1 day, 11:08:09, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6763, top5_acc: 0.9187, loss_cls: 3.9550, loss: 3.9550 2023-12-23 15:39:51,860 - pyskl - INFO - Epoch [8][2500/3405] lr: 2.484e-02, eta: 1 day, 11:07:22, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6581, top5_acc: 0.9194, loss_cls: 4.0111, loss: 4.0111 2023-12-23 15:40:17,109 - pyskl - INFO - Epoch [8][2600/3405] lr: 2.484e-02, eta: 1 day, 11:06:41, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6587, top5_acc: 0.9181, loss_cls: 4.0100, loss: 4.0100 2023-12-23 15:40:42,264 - pyskl - INFO - Epoch [8][2700/3405] lr: 2.483e-02, eta: 1 day, 11:05:57, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6775, top5_acc: 0.9275, loss_cls: 3.9554, loss: 3.9554 2023-12-23 15:41:07,521 - pyskl - INFO - Epoch [8][2800/3405] lr: 2.483e-02, eta: 1 day, 11:05:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6650, top5_acc: 0.9169, loss_cls: 4.0049, loss: 4.0049 2023-12-23 15:41:32,756 - pyskl - INFO - Epoch [8][2900/3405] lr: 2.483e-02, eta: 1 day, 11:04:34, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6556, top5_acc: 0.9225, loss_cls: 4.0018, loss: 4.0018 2023-12-23 15:41:57,729 - pyskl - INFO - Epoch [8][3000/3405] lr: 2.483e-02, eta: 1 day, 11:03:48, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6581, top5_acc: 0.9237, loss_cls: 3.9648, loss: 3.9648 2023-12-23 15:42:22,686 - pyskl - INFO - Epoch [8][3100/3405] lr: 2.483e-02, eta: 1 day, 11:03:02, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6606, top5_acc: 0.9175, loss_cls: 4.0078, loss: 4.0078 2023-12-23 15:42:47,687 - pyskl - INFO - Epoch [8][3200/3405] lr: 2.483e-02, eta: 1 day, 11:02:16, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6644, top5_acc: 0.9275, loss_cls: 4.0047, loss: 4.0047 2023-12-23 15:43:12,658 - pyskl - INFO - Epoch [8][3300/3405] lr: 2.483e-02, eta: 1 day, 11:01:30, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6681, top5_acc: 0.9281, loss_cls: 3.9403, loss: 3.9403 2023-12-23 15:43:37,610 - pyskl - INFO - Epoch [8][3400/3405] lr: 2.483e-02, eta: 1 day, 11:00:44, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6831, top5_acc: 0.9319, loss_cls: 3.9265, loss: 3.9265 2023-12-23 15:43:39,777 - pyskl - INFO - Saving checkpoint at 8 epochs 2023-12-23 15:48:03,224 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:48:03,848 - pyskl - INFO - top1_acc 0.6295 top5_acc 0.9105 2023-12-23 15:48:03,876 - pyskl - INFO - Epoch(val) [8][3718] top1_acc: 0.6295, top5_acc: 0.9105 2023-12-23 15:48:59,681 - pyskl - INFO - Epoch [9][100/3405] lr: 2.482e-02, eta: 1 day, 11:08:40, time: 0.558, data_time: 0.302, memory: 5236, top1_acc: 0.6519, top5_acc: 0.9150, loss_cls: 4.0105, loss: 4.0105 2023-12-23 15:49:25,272 - pyskl - INFO - Epoch [9][200/3405] lr: 2.482e-02, eta: 1 day, 11:08:03, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6875, top5_acc: 0.9213, loss_cls: 3.9174, loss: 3.9174 2023-12-23 15:49:50,798 - pyskl - INFO - Epoch [9][300/3405] lr: 2.482e-02, eta: 1 day, 11:07:26, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6881, top5_acc: 0.9369, loss_cls: 3.8890, loss: 3.8890 2023-12-23 15:50:16,487 - pyskl - INFO - Epoch [9][400/3405] lr: 2.482e-02, eta: 1 day, 11:06:51, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.6863, top5_acc: 0.9344, loss_cls: 3.8895, loss: 3.8895 2023-12-23 15:50:41,750 - pyskl - INFO - Epoch [9][500/3405] lr: 2.482e-02, eta: 1 day, 11:06:09, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6863, top5_acc: 0.9250, loss_cls: 3.9553, loss: 3.9553 2023-12-23 15:51:07,067 - pyskl - INFO - Epoch [9][600/3405] lr: 2.482e-02, eta: 1 day, 11:05:28, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6675, top5_acc: 0.9244, loss_cls: 3.9602, loss: 3.9602 2023-12-23 15:51:32,585 - pyskl - INFO - Epoch [9][700/3405] lr: 2.482e-02, eta: 1 day, 11:04:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6750, top5_acc: 0.9181, loss_cls: 3.9674, loss: 3.9674 2023-12-23 15:51:57,915 - pyskl - INFO - Epoch [9][800/3405] lr: 2.481e-02, eta: 1 day, 11:04:11, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6900, top5_acc: 0.9319, loss_cls: 3.8827, loss: 3.8827 2023-12-23 15:52:23,413 - pyskl - INFO - Epoch [9][900/3405] lr: 2.481e-02, eta: 1 day, 11:03:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6800, top5_acc: 0.9319, loss_cls: 3.9032, loss: 3.9032 2023-12-23 15:52:49,055 - pyskl - INFO - Epoch [9][1000/3405] lr: 2.481e-02, eta: 1 day, 11:02:58, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6925, top5_acc: 0.9269, loss_cls: 3.9071, loss: 3.9071 2023-12-23 15:53:14,355 - pyskl - INFO - Epoch [9][1100/3405] lr: 2.481e-02, eta: 1 day, 11:02:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6756, top5_acc: 0.9263, loss_cls: 3.9629, loss: 3.9629 2023-12-23 15:53:39,815 - pyskl - INFO - Epoch [9][1200/3405] lr: 2.481e-02, eta: 1 day, 11:01:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6750, top5_acc: 0.9213, loss_cls: 3.9399, loss: 3.9399 2023-12-23 15:54:05,288 - pyskl - INFO - Epoch [9][1300/3405] lr: 2.481e-02, eta: 1 day, 11:01:02, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6669, top5_acc: 0.9225, loss_cls: 3.9633, loss: 3.9633 2023-12-23 15:54:30,792 - pyskl - INFO - Epoch [9][1400/3405] lr: 2.481e-02, eta: 1 day, 11:00:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7006, top5_acc: 0.9356, loss_cls: 3.8681, loss: 3.8681 2023-12-23 15:54:55,812 - pyskl - INFO - Epoch [9][1500/3405] lr: 2.481e-02, eta: 1 day, 10:59:41, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6438, top5_acc: 0.9213, loss_cls: 4.0027, loss: 4.0027 2023-12-23 15:55:20,816 - pyskl - INFO - Epoch [9][1600/3405] lr: 2.480e-02, eta: 1 day, 10:58:55, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6819, top5_acc: 0.9269, loss_cls: 3.9347, loss: 3.9347 2023-12-23 15:55:45,861 - pyskl - INFO - Epoch [9][1700/3405] lr: 2.480e-02, eta: 1 day, 10:58:11, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6681, top5_acc: 0.9300, loss_cls: 3.9351, loss: 3.9351 2023-12-23 15:56:10,878 - pyskl - INFO - Epoch [9][1800/3405] lr: 2.480e-02, eta: 1 day, 10:57:27, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6794, top5_acc: 0.9281, loss_cls: 3.9401, loss: 3.9401 2023-12-23 15:56:35,954 - pyskl - INFO - Epoch [9][1900/3405] lr: 2.480e-02, eta: 1 day, 10:56:43, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6587, top5_acc: 0.9294, loss_cls: 3.9661, loss: 3.9661 2023-12-23 15:57:01,047 - pyskl - INFO - Epoch [9][2000/3405] lr: 2.480e-02, eta: 1 day, 10:56:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6844, top5_acc: 0.9319, loss_cls: 3.9381, loss: 3.9381 2023-12-23 15:57:26,126 - pyskl - INFO - Epoch [9][2100/3405] lr: 2.480e-02, eta: 1 day, 10:55:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6600, top5_acc: 0.9156, loss_cls: 3.9946, loss: 3.9946 2023-12-23 15:57:51,196 - pyskl - INFO - Epoch [9][2200/3405] lr: 2.480e-02, eta: 1 day, 10:54:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6663, top5_acc: 0.9263, loss_cls: 3.9611, loss: 3.9611 2023-12-23 15:58:16,222 - pyskl - INFO - Epoch [9][2300/3405] lr: 2.479e-02, eta: 1 day, 10:53:50, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6587, top5_acc: 0.9187, loss_cls: 4.0122, loss: 4.0122 2023-12-23 15:58:41,256 - pyskl - INFO - Epoch [9][2400/3405] lr: 2.479e-02, eta: 1 day, 10:53:06, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6569, top5_acc: 0.9256, loss_cls: 3.9711, loss: 3.9711 2023-12-23 15:59:06,262 - pyskl - INFO - Epoch [9][2500/3405] lr: 2.479e-02, eta: 1 day, 10:52:22, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6931, top5_acc: 0.9237, loss_cls: 3.9077, loss: 3.9077 2023-12-23 15:59:31,292 - pyskl - INFO - Epoch [9][2600/3405] lr: 2.479e-02, eta: 1 day, 10:51:39, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6850, top5_acc: 0.9319, loss_cls: 3.8878, loss: 3.8878 2023-12-23 15:59:56,320 - pyskl - INFO - Epoch [9][2700/3405] lr: 2.479e-02, eta: 1 day, 10:50:56, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6737, top5_acc: 0.9206, loss_cls: 3.9675, loss: 3.9675 2023-12-23 16:00:21,367 - pyskl - INFO - Epoch [9][2800/3405] lr: 2.479e-02, eta: 1 day, 10:50:13, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6663, top5_acc: 0.9206, loss_cls: 3.9722, loss: 3.9722 2023-12-23 16:00:46,388 - pyskl - INFO - Epoch [9][2900/3405] lr: 2.479e-02, eta: 1 day, 10:49:30, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6900, top5_acc: 0.9406, loss_cls: 3.8785, loss: 3.8785 2023-12-23 16:01:11,410 - pyskl - INFO - Epoch [9][3000/3405] lr: 2.478e-02, eta: 1 day, 10:48:47, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6669, top5_acc: 0.9175, loss_cls: 3.9617, loss: 3.9617 2023-12-23 16:01:36,450 - pyskl - INFO - Epoch [9][3100/3405] lr: 2.478e-02, eta: 1 day, 10:48:04, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7113, top5_acc: 0.9325, loss_cls: 3.8696, loss: 3.8696 2023-12-23 16:02:01,473 - pyskl - INFO - Epoch [9][3200/3405] lr: 2.478e-02, eta: 1 day, 10:47:22, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6713, top5_acc: 0.9263, loss_cls: 3.9765, loss: 3.9765 2023-12-23 16:02:26,495 - pyskl - INFO - Epoch [9][3300/3405] lr: 2.478e-02, eta: 1 day, 10:46:39, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7013, top5_acc: 0.9325, loss_cls: 3.8860, loss: 3.8860 2023-12-23 16:02:51,530 - pyskl - INFO - Epoch [9][3400/3405] lr: 2.478e-02, eta: 1 day, 10:45:57, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6719, top5_acc: 0.9250, loss_cls: 3.9613, loss: 3.9613 2023-12-23 16:02:53,433 - pyskl - INFO - Saving checkpoint at 9 epochs 2023-12-23 16:07:17,538 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:07:18,182 - pyskl - INFO - top1_acc 0.6632 top5_acc 0.9185 2023-12-23 16:07:18,187 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_7.pth was removed 2023-12-23 16:07:18,392 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. 2023-12-23 16:07:18,393 - pyskl - INFO - Best top1_acc is 0.6632 at 9 epoch. 2023-12-23 16:07:18,418 - pyskl - INFO - Epoch(val) [9][3718] top1_acc: 0.6632, top5_acc: 0.9185 2023-12-23 16:08:11,932 - pyskl - INFO - Epoch [10][100/3405] lr: 2.478e-02, eta: 1 day, 10:52:17, time: 0.535, data_time: 0.280, memory: 5236, top1_acc: 0.7000, top5_acc: 0.9363, loss_cls: 3.8475, loss: 3.8475 2023-12-23 16:08:37,332 - pyskl - INFO - Epoch [10][200/3405] lr: 2.478e-02, eta: 1 day, 10:51:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6950, top5_acc: 0.9387, loss_cls: 3.8555, loss: 3.8555 2023-12-23 16:09:02,692 - pyskl - INFO - Epoch [10][300/3405] lr: 2.477e-02, eta: 1 day, 10:51:01, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7044, top5_acc: 0.9400, loss_cls: 3.8677, loss: 3.8677 2023-12-23 16:09:28,374 - pyskl - INFO - Epoch [10][400/3405] lr: 2.477e-02, eta: 1 day, 10:50:28, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.6875, top5_acc: 0.9319, loss_cls: 3.8874, loss: 3.8874 2023-12-23 16:09:53,863 - pyskl - INFO - Epoch [10][500/3405] lr: 2.477e-02, eta: 1 day, 10:49:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7013, top5_acc: 0.9306, loss_cls: 3.8763, loss: 3.8763 2023-12-23 16:10:19,350 - pyskl - INFO - Epoch [10][600/3405] lr: 2.477e-02, eta: 1 day, 10:49:15, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6944, top5_acc: 0.9325, loss_cls: 3.8801, loss: 3.8801 2023-12-23 16:10:44,903 - pyskl - INFO - Epoch [10][700/3405] lr: 2.477e-02, eta: 1 day, 10:48:40, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7006, top5_acc: 0.9400, loss_cls: 3.8479, loss: 3.8479 2023-12-23 16:11:10,059 - pyskl - INFO - Epoch [10][800/3405] lr: 2.477e-02, eta: 1 day, 10:47:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6800, top5_acc: 0.9275, loss_cls: 3.9618, loss: 3.9618 2023-12-23 16:11:35,273 - pyskl - INFO - Epoch [10][900/3405] lr: 2.477e-02, eta: 1 day, 10:47:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6619, top5_acc: 0.9163, loss_cls: 4.0088, loss: 4.0088 2023-12-23 16:12:01,003 - pyskl - INFO - Epoch [10][1000/3405] lr: 2.476e-02, eta: 1 day, 10:46:46, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.6956, top5_acc: 0.9400, loss_cls: 3.8886, loss: 3.8886 2023-12-23 16:12:26,452 - pyskl - INFO - Epoch [10][1100/3405] lr: 2.476e-02, eta: 1 day, 10:46:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6906, top5_acc: 0.9300, loss_cls: 3.9228, loss: 3.9228 2023-12-23 16:12:51,833 - pyskl - INFO - Epoch [10][1200/3405] lr: 2.476e-02, eta: 1 day, 10:45:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6856, top5_acc: 0.9287, loss_cls: 3.9319, loss: 3.9319 2023-12-23 16:13:17,186 - pyskl - INFO - Epoch [10][1300/3405] lr: 2.476e-02, eta: 1 day, 10:44:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6831, top5_acc: 0.9275, loss_cls: 3.9284, loss: 3.9284 2023-12-23 16:13:42,436 - pyskl - INFO - Epoch [10][1400/3405] lr: 2.476e-02, eta: 1 day, 10:44:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6881, top5_acc: 0.9225, loss_cls: 3.9498, loss: 3.9498 2023-12-23 16:14:07,575 - pyskl - INFO - Epoch [10][1500/3405] lr: 2.476e-02, eta: 1 day, 10:43:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7106, top5_acc: 0.9313, loss_cls: 3.8456, loss: 3.8456 2023-12-23 16:14:32,706 - pyskl - INFO - Epoch [10][1600/3405] lr: 2.475e-02, eta: 1 day, 10:42:54, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6925, top5_acc: 0.9350, loss_cls: 3.8854, loss: 3.8854 2023-12-23 16:14:57,838 - pyskl - INFO - Epoch [10][1700/3405] lr: 2.475e-02, eta: 1 day, 10:42:13, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7044, top5_acc: 0.9337, loss_cls: 3.8770, loss: 3.8770 2023-12-23 16:15:23,084 - pyskl - INFO - Epoch [10][1800/3405] lr: 2.475e-02, eta: 1 day, 10:41:34, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6837, top5_acc: 0.9325, loss_cls: 3.9139, loss: 3.9139 2023-12-23 16:15:48,280 - pyskl - INFO - Epoch [10][1900/3405] lr: 2.475e-02, eta: 1 day, 10:40:54, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6869, top5_acc: 0.9394, loss_cls: 3.8871, loss: 3.8871 2023-12-23 16:16:13,666 - pyskl - INFO - Epoch [10][2000/3405] lr: 2.475e-02, eta: 1 day, 10:40:18, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6906, top5_acc: 0.9187, loss_cls: 3.9620, loss: 3.9620 2023-12-23 16:16:39,176 - pyskl - INFO - Epoch [10][2100/3405] lr: 2.475e-02, eta: 1 day, 10:39:43, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6769, top5_acc: 0.9256, loss_cls: 3.9430, loss: 3.9430 2023-12-23 16:17:04,135 - pyskl - INFO - Epoch [10][2200/3405] lr: 2.475e-02, eta: 1 day, 10:39:00, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6713, top5_acc: 0.9256, loss_cls: 3.9416, loss: 3.9416 2023-12-23 16:17:29,102 - pyskl - INFO - Epoch [10][2300/3405] lr: 2.474e-02, eta: 1 day, 10:38:18, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6763, top5_acc: 0.9244, loss_cls: 3.9245, loss: 3.9245 2023-12-23 16:17:54,096 - pyskl - INFO - Epoch [10][2400/3405] lr: 2.474e-02, eta: 1 day, 10:37:35, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6931, top5_acc: 0.9300, loss_cls: 3.8921, loss: 3.8921 2023-12-23 16:18:19,099 - pyskl - INFO - Epoch [10][2500/3405] lr: 2.474e-02, eta: 1 day, 10:36:54, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6925, top5_acc: 0.9319, loss_cls: 3.9084, loss: 3.9084 2023-12-23 16:18:44,110 - pyskl - INFO - Epoch [10][2600/3405] lr: 2.474e-02, eta: 1 day, 10:36:12, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6956, top5_acc: 0.9375, loss_cls: 3.8887, loss: 3.8887 2023-12-23 16:19:09,131 - pyskl - INFO - Epoch [10][2700/3405] lr: 2.474e-02, eta: 1 day, 10:35:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6806, top5_acc: 0.9344, loss_cls: 3.9059, loss: 3.9059 2023-12-23 16:19:34,136 - pyskl - INFO - Epoch [10][2800/3405] lr: 2.474e-02, eta: 1 day, 10:34:49, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6837, top5_acc: 0.9275, loss_cls: 3.9506, loss: 3.9506 2023-12-23 16:19:59,286 - pyskl - INFO - Epoch [10][2900/3405] lr: 2.473e-02, eta: 1 day, 10:34:10, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6775, top5_acc: 0.9275, loss_cls: 3.9114, loss: 3.9114 2023-12-23 16:20:24,479 - pyskl - INFO - Epoch [10][3000/3405] lr: 2.473e-02, eta: 1 day, 10:33:31, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6837, top5_acc: 0.9344, loss_cls: 3.9043, loss: 3.9043 2023-12-23 16:20:49,871 - pyskl - INFO - Epoch [10][3100/3405] lr: 2.473e-02, eta: 1 day, 10:32:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6887, top5_acc: 0.9275, loss_cls: 3.8963, loss: 3.8963 2023-12-23 16:21:15,151 - pyskl - INFO - Epoch [10][3200/3405] lr: 2.473e-02, eta: 1 day, 10:32:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7094, top5_acc: 0.9344, loss_cls: 3.8756, loss: 3.8756 2023-12-23 16:21:40,363 - pyskl - INFO - Epoch [10][3300/3405] lr: 2.473e-02, eta: 1 day, 10:31:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7163, top5_acc: 0.9525, loss_cls: 3.7972, loss: 3.7972 2023-12-23 16:22:05,659 - pyskl - INFO - Epoch [10][3400/3405] lr: 2.473e-02, eta: 1 day, 10:31:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6975, top5_acc: 0.9319, loss_cls: 3.8833, loss: 3.8833 2023-12-23 16:22:07,719 - pyskl - INFO - Saving checkpoint at 10 epochs 2023-12-23 16:26:31,914 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:26:32,558 - pyskl - INFO - top1_acc 0.6391 top5_acc 0.9043 2023-12-23 16:26:32,583 - pyskl - INFO - Epoch(val) [10][3718] top1_acc: 0.6391, top5_acc: 0.9043 2023-12-23 16:27:26,719 - pyskl - INFO - Epoch [11][100/3405] lr: 2.473e-02, eta: 1 day, 10:36:49, time: 0.541, data_time: 0.288, memory: 5236, top1_acc: 0.7050, top5_acc: 0.9394, loss_cls: 3.8318, loss: 3.8318 2023-12-23 16:27:52,095 - pyskl - INFO - Epoch [11][200/3405] lr: 2.472e-02, eta: 1 day, 10:36:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6806, top5_acc: 0.9237, loss_cls: 3.9127, loss: 3.9127 2023-12-23 16:28:17,510 - pyskl - INFO - Epoch [11][300/3405] lr: 2.472e-02, eta: 1 day, 10:35:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7150, top5_acc: 0.9437, loss_cls: 3.8255, loss: 3.8255 2023-12-23 16:28:43,160 - pyskl - INFO - Epoch [11][400/3405] lr: 2.472e-02, eta: 1 day, 10:35:03, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6950, top5_acc: 0.9369, loss_cls: 3.8660, loss: 3.8660 2023-12-23 16:29:08,829 - pyskl - INFO - Epoch [11][500/3405] lr: 2.472e-02, eta: 1 day, 10:34:30, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.6906, top5_acc: 0.9287, loss_cls: 3.9116, loss: 3.9116 2023-12-23 16:29:34,206 - pyskl - INFO - Epoch [11][600/3405] lr: 2.472e-02, eta: 1 day, 10:33:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7031, top5_acc: 0.9306, loss_cls: 3.8596, loss: 3.8596 2023-12-23 16:29:59,721 - pyskl - INFO - Epoch [11][700/3405] lr: 2.472e-02, eta: 1 day, 10:33:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6919, top5_acc: 0.9281, loss_cls: 3.8587, loss: 3.8587 2023-12-23 16:30:25,197 - pyskl - INFO - Epoch [11][800/3405] lr: 2.471e-02, eta: 1 day, 10:32:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6819, top5_acc: 0.9337, loss_cls: 3.9113, loss: 3.9113 2023-12-23 16:30:50,529 - pyskl - INFO - Epoch [11][900/3405] lr: 2.471e-02, eta: 1 day, 10:32:07, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6813, top5_acc: 0.9369, loss_cls: 3.9052, loss: 3.9052 2023-12-23 16:31:16,086 - pyskl - INFO - Epoch [11][1000/3405] lr: 2.471e-02, eta: 1 day, 10:31:33, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7044, top5_acc: 0.9444, loss_cls: 3.8463, loss: 3.8463 2023-12-23 16:31:41,183 - pyskl - INFO - Epoch [11][1100/3405] lr: 2.471e-02, eta: 1 day, 10:30:53, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6869, top5_acc: 0.9313, loss_cls: 3.8858, loss: 3.8858 2023-12-23 16:32:06,692 - pyskl - INFO - Epoch [11][1200/3405] lr: 2.471e-02, eta: 1 day, 10:30:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6913, top5_acc: 0.9325, loss_cls: 3.8614, loss: 3.8614 2023-12-23 16:32:32,123 - pyskl - INFO - Epoch [11][1300/3405] lr: 2.471e-02, eta: 1 day, 10:29:43, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7156, top5_acc: 0.9463, loss_cls: 3.8102, loss: 3.8102 2023-12-23 16:32:57,323 - pyskl - INFO - Epoch [11][1400/3405] lr: 2.470e-02, eta: 1 day, 10:29:04, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6881, top5_acc: 0.9325, loss_cls: 3.8920, loss: 3.8920 2023-12-23 16:33:22,701 - pyskl - INFO - Epoch [11][1500/3405] lr: 2.470e-02, eta: 1 day, 10:28:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6837, top5_acc: 0.9337, loss_cls: 3.8992, loss: 3.8992 2023-12-23 16:33:47,905 - pyskl - INFO - Epoch [11][1600/3405] lr: 2.470e-02, eta: 1 day, 10:27:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6794, top5_acc: 0.9344, loss_cls: 3.9319, loss: 3.9319 2023-12-23 16:34:12,968 - pyskl - INFO - Epoch [11][1700/3405] lr: 2.470e-02, eta: 1 day, 10:27:10, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6944, top5_acc: 0.9256, loss_cls: 3.8728, loss: 3.8728 2023-12-23 16:34:37,993 - pyskl - INFO - Epoch [11][1800/3405] lr: 2.470e-02, eta: 1 day, 10:26:29, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6994, top5_acc: 0.9350, loss_cls: 3.8861, loss: 3.8861 2023-12-23 16:35:03,186 - pyskl - INFO - Epoch [11][1900/3405] lr: 2.470e-02, eta: 1 day, 10:25:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7119, top5_acc: 0.9381, loss_cls: 3.8120, loss: 3.8120 2023-12-23 16:35:28,401 - pyskl - INFO - Epoch [11][2000/3405] lr: 2.469e-02, eta: 1 day, 10:25:13, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6806, top5_acc: 0.9331, loss_cls: 3.8877, loss: 3.8877 2023-12-23 16:35:53,608 - pyskl - INFO - Epoch [11][2100/3405] lr: 2.469e-02, eta: 1 day, 10:24:36, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6887, top5_acc: 0.9369, loss_cls: 3.8874, loss: 3.8874 2023-12-23 16:36:18,970 - pyskl - INFO - Epoch [11][2200/3405] lr: 2.469e-02, eta: 1 day, 10:24:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7000, top5_acc: 0.9363, loss_cls: 3.8623, loss: 3.8623 2023-12-23 16:36:44,276 - pyskl - INFO - Epoch [11][2300/3405] lr: 2.469e-02, eta: 1 day, 10:23:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7056, top5_acc: 0.9319, loss_cls: 3.8849, loss: 3.8849 2023-12-23 16:37:09,540 - pyskl - INFO - Epoch [11][2400/3405] lr: 2.469e-02, eta: 1 day, 10:22:46, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6913, top5_acc: 0.9313, loss_cls: 3.9023, loss: 3.9023 2023-12-23 16:37:35,162 - pyskl - INFO - Epoch [11][2500/3405] lr: 2.469e-02, eta: 1 day, 10:22:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7137, top5_acc: 0.9294, loss_cls: 3.8313, loss: 3.8313 2023-12-23 16:38:00,475 - pyskl - INFO - Epoch [11][2600/3405] lr: 2.468e-02, eta: 1 day, 10:21:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6794, top5_acc: 0.9250, loss_cls: 3.9403, loss: 3.9403 2023-12-23 16:38:25,636 - pyskl - INFO - Epoch [11][2700/3405] lr: 2.468e-02, eta: 1 day, 10:21:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6969, top5_acc: 0.9394, loss_cls: 3.8394, loss: 3.8394 2023-12-23 16:38:50,811 - pyskl - INFO - Epoch [11][2800/3405] lr: 2.468e-02, eta: 1 day, 10:20:22, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6700, top5_acc: 0.9256, loss_cls: 3.9473, loss: 3.9473 2023-12-23 16:39:15,926 - pyskl - INFO - Epoch [11][2900/3405] lr: 2.468e-02, eta: 1 day, 10:19:43, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7044, top5_acc: 0.9331, loss_cls: 3.8537, loss: 3.8537 2023-12-23 16:39:40,912 - pyskl - INFO - Epoch [11][3000/3405] lr: 2.468e-02, eta: 1 day, 10:19:03, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6850, top5_acc: 0.9219, loss_cls: 3.9415, loss: 3.9415 2023-12-23 16:40:05,899 - pyskl - INFO - Epoch [11][3100/3405] lr: 2.468e-02, eta: 1 day, 10:18:23, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6787, top5_acc: 0.9300, loss_cls: 3.9169, loss: 3.9169 2023-12-23 16:40:30,904 - pyskl - INFO - Epoch [11][3200/3405] lr: 2.467e-02, eta: 1 day, 10:17:44, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6969, top5_acc: 0.9237, loss_cls: 3.8944, loss: 3.8944 2023-12-23 16:40:55,898 - pyskl - INFO - Epoch [11][3300/3405] lr: 2.467e-02, eta: 1 day, 10:17:04, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7069, top5_acc: 0.9313, loss_cls: 3.8547, loss: 3.8547 2023-12-23 16:41:20,899 - pyskl - INFO - Epoch [11][3400/3405] lr: 2.467e-02, eta: 1 day, 10:16:24, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7019, top5_acc: 0.9337, loss_cls: 3.8695, loss: 3.8695 2023-12-23 16:41:22,810 - pyskl - INFO - Saving checkpoint at 11 epochs 2023-12-23 16:45:46,639 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:45:47,247 - pyskl - INFO - top1_acc 0.6716 top5_acc 0.9117 2023-12-23 16:45:47,252 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_9.pth was removed 2023-12-23 16:45:47,467 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. 2023-12-23 16:45:47,469 - pyskl - INFO - Best top1_acc is 0.6716 at 11 epoch. 2023-12-23 16:45:47,497 - pyskl - INFO - Epoch(val) [11][3718] top1_acc: 0.6716, top5_acc: 0.9117 2023-12-23 16:46:40,445 - pyskl - INFO - Epoch [12][100/3405] lr: 2.467e-02, eta: 1 day, 10:21:19, time: 0.529, data_time: 0.274, memory: 5236, top1_acc: 0.7081, top5_acc: 0.9400, loss_cls: 3.8240, loss: 3.8240 2023-12-23 16:47:05,892 - pyskl - INFO - Epoch [12][200/3405] lr: 2.467e-02, eta: 1 day, 10:20:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7000, top5_acc: 0.9325, loss_cls: 3.8351, loss: 3.8351 2023-12-23 16:47:31,570 - pyskl - INFO - Epoch [12][300/3405] lr: 2.466e-02, eta: 1 day, 10:20:12, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7212, top5_acc: 0.9406, loss_cls: 3.7823, loss: 3.7823 2023-12-23 16:47:57,286 - pyskl - INFO - Epoch [12][400/3405] lr: 2.466e-02, eta: 1 day, 10:19:41, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7037, top5_acc: 0.9375, loss_cls: 3.8595, loss: 3.8595 2023-12-23 16:48:22,798 - pyskl - INFO - Epoch [12][500/3405] lr: 2.466e-02, eta: 1 day, 10:19:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7019, top5_acc: 0.9213, loss_cls: 3.8830, loss: 3.8830 2023-12-23 16:48:48,144 - pyskl - INFO - Epoch [12][600/3405] lr: 2.466e-02, eta: 1 day, 10:18:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7025, top5_acc: 0.9394, loss_cls: 3.8767, loss: 3.8767 2023-12-23 16:49:13,603 - pyskl - INFO - Epoch [12][700/3405] lr: 2.466e-02, eta: 1 day, 10:17:57, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6919, top5_acc: 0.9256, loss_cls: 3.9077, loss: 3.9077 2023-12-23 16:49:39,128 - pyskl - INFO - Epoch [12][800/3405] lr: 2.466e-02, eta: 1 day, 10:17:23, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7125, top5_acc: 0.9350, loss_cls: 3.8142, loss: 3.8142 2023-12-23 16:50:04,828 - pyskl - INFO - Epoch [12][900/3405] lr: 2.465e-02, eta: 1 day, 10:16:52, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.6987, top5_acc: 0.9387, loss_cls: 3.8713, loss: 3.8713 2023-12-23 16:50:30,432 - pyskl - INFO - Epoch [12][1000/3405] lr: 2.465e-02, eta: 1 day, 10:16:19, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7131, top5_acc: 0.9363, loss_cls: 3.8618, loss: 3.8618 2023-12-23 16:50:55,903 - pyskl - INFO - Epoch [12][1100/3405] lr: 2.465e-02, eta: 1 day, 10:15:45, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6950, top5_acc: 0.9250, loss_cls: 3.9084, loss: 3.9084 2023-12-23 16:51:21,220 - pyskl - INFO - Epoch [12][1200/3405] lr: 2.465e-02, eta: 1 day, 10:15:09, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7031, top5_acc: 0.9406, loss_cls: 3.8470, loss: 3.8470 2023-12-23 16:51:46,355 - pyskl - INFO - Epoch [12][1300/3405] lr: 2.465e-02, eta: 1 day, 10:14:31, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7031, top5_acc: 0.9325, loss_cls: 3.8745, loss: 3.8745 2023-12-23 16:52:11,413 - pyskl - INFO - Epoch [12][1400/3405] lr: 2.464e-02, eta: 1 day, 10:13:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6956, top5_acc: 0.9375, loss_cls: 3.8903, loss: 3.8903 2023-12-23 16:52:36,430 - pyskl - INFO - Epoch [12][1500/3405] lr: 2.464e-02, eta: 1 day, 10:13:13, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6806, top5_acc: 0.9275, loss_cls: 3.8948, loss: 3.8948 2023-12-23 16:53:01,440 - pyskl - INFO - Epoch [12][1600/3405] lr: 2.464e-02, eta: 1 day, 10:12:33, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7163, top5_acc: 0.9456, loss_cls: 3.8476, loss: 3.8476 2023-12-23 16:53:26,532 - pyskl - INFO - Epoch [12][1700/3405] lr: 2.464e-02, eta: 1 day, 10:11:55, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6987, top5_acc: 0.9419, loss_cls: 3.8486, loss: 3.8486 2023-12-23 16:53:51,639 - pyskl - INFO - Epoch [12][1800/3405] lr: 2.464e-02, eta: 1 day, 10:11:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7006, top5_acc: 0.9444, loss_cls: 3.8236, loss: 3.8236 2023-12-23 16:54:16,735 - pyskl - INFO - Epoch [12][1900/3405] lr: 2.464e-02, eta: 1 day, 10:10:38, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7037, top5_acc: 0.9406, loss_cls: 3.8261, loss: 3.8261 2023-12-23 16:54:41,849 - pyskl - INFO - Epoch [12][2000/3405] lr: 2.463e-02, eta: 1 day, 10:10:01, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7106, top5_acc: 0.9400, loss_cls: 3.8416, loss: 3.8416 2023-12-23 16:55:07,221 - pyskl - INFO - Epoch [12][2100/3405] lr: 2.463e-02, eta: 1 day, 10:09:26, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7188, top5_acc: 0.9375, loss_cls: 3.8075, loss: 3.8075 2023-12-23 16:55:32,274 - pyskl - INFO - Epoch [12][2200/3405] lr: 2.463e-02, eta: 1 day, 10:08:47, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7000, top5_acc: 0.9431, loss_cls: 3.8395, loss: 3.8395 2023-12-23 16:55:57,308 - pyskl - INFO - Epoch [12][2300/3405] lr: 2.463e-02, eta: 1 day, 10:08:09, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7075, top5_acc: 0.9444, loss_cls: 3.8435, loss: 3.8435 2023-12-23 16:56:22,367 - pyskl - INFO - Epoch [12][2400/3405] lr: 2.463e-02, eta: 1 day, 10:07:30, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7056, top5_acc: 0.9331, loss_cls: 3.8685, loss: 3.8685 2023-12-23 16:56:47,840 - pyskl - INFO - Epoch [12][2500/3405] lr: 2.462e-02, eta: 1 day, 10:06:57, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6850, top5_acc: 0.9319, loss_cls: 3.9112, loss: 3.9112 2023-12-23 16:57:12,931 - pyskl - INFO - Epoch [12][2600/3405] lr: 2.462e-02, eta: 1 day, 10:06:19, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7150, top5_acc: 0.9275, loss_cls: 3.8214, loss: 3.8214 2023-12-23 16:57:37,988 - pyskl - INFO - Epoch [12][2700/3405] lr: 2.462e-02, eta: 1 day, 10:05:41, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7200, top5_acc: 0.9350, loss_cls: 3.8137, loss: 3.8137 2023-12-23 16:58:03,107 - pyskl - INFO - Epoch [12][2800/3405] lr: 2.462e-02, eta: 1 day, 10:05:04, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6963, top5_acc: 0.9444, loss_cls: 3.8438, loss: 3.8438 2023-12-23 16:58:28,209 - pyskl - INFO - Epoch [12][2900/3405] lr: 2.462e-02, eta: 1 day, 10:04:26, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7019, top5_acc: 0.9363, loss_cls: 3.8637, loss: 3.8637 2023-12-23 16:58:53,334 - pyskl - INFO - Epoch [12][3000/3405] lr: 2.462e-02, eta: 1 day, 10:03:49, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7087, top5_acc: 0.9363, loss_cls: 3.8326, loss: 3.8326 2023-12-23 16:59:18,413 - pyskl - INFO - Epoch [12][3100/3405] lr: 2.461e-02, eta: 1 day, 10:03:11, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7087, top5_acc: 0.9419, loss_cls: 3.8369, loss: 3.8369 2023-12-23 16:59:43,450 - pyskl - INFO - Epoch [12][3200/3405] lr: 2.461e-02, eta: 1 day, 10:02:33, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7144, top5_acc: 0.9344, loss_cls: 3.8418, loss: 3.8418 2023-12-23 17:00:08,595 - pyskl - INFO - Epoch [12][3300/3405] lr: 2.461e-02, eta: 1 day, 10:01:57, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6963, top5_acc: 0.9381, loss_cls: 3.8507, loss: 3.8507 2023-12-23 17:00:33,694 - pyskl - INFO - Epoch [12][3400/3405] lr: 2.461e-02, eta: 1 day, 10:01:19, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6787, top5_acc: 0.9256, loss_cls: 3.9479, loss: 3.9479 2023-12-23 17:00:35,616 - pyskl - INFO - Saving checkpoint at 12 epochs 2023-12-23 17:04:58,865 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:04:59,479 - pyskl - INFO - top1_acc 0.6771 top5_acc 0.9212 2023-12-23 17:04:59,484 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_11.pth was removed 2023-12-23 17:04:59,694 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. 2023-12-23 17:04:59,696 - pyskl - INFO - Best top1_acc is 0.6771 at 12 epoch. 2023-12-23 17:04:59,721 - pyskl - INFO - Epoch(val) [12][3718] top1_acc: 0.6771, top5_acc: 0.9212 2023-12-23 17:05:53,557 - pyskl - INFO - Epoch [13][100/3405] lr: 2.461e-02, eta: 1 day, 10:05:55, time: 0.538, data_time: 0.283, memory: 5236, top1_acc: 0.7200, top5_acc: 0.9325, loss_cls: 3.8170, loss: 3.8170 2023-12-23 17:06:18,989 - pyskl - INFO - Epoch [13][200/3405] lr: 2.460e-02, eta: 1 day, 10:05:21, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7169, top5_acc: 0.9381, loss_cls: 3.8233, loss: 3.8233 2023-12-23 17:06:44,608 - pyskl - INFO - Epoch [13][300/3405] lr: 2.460e-02, eta: 1 day, 10:04:49, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7244, top5_acc: 0.9450, loss_cls: 3.8102, loss: 3.8102 2023-12-23 17:07:10,439 - pyskl - INFO - Epoch [13][400/3405] lr: 2.460e-02, eta: 1 day, 10:04:20, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7013, top5_acc: 0.9444, loss_cls: 3.8397, loss: 3.8397 2023-12-23 17:07:35,975 - pyskl - INFO - Epoch [13][500/3405] lr: 2.460e-02, eta: 1 day, 10:03:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7156, top5_acc: 0.9450, loss_cls: 3.8205, loss: 3.8205 2023-12-23 17:08:01,407 - pyskl - INFO - Epoch [13][600/3405] lr: 2.460e-02, eta: 1 day, 10:03:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7306, top5_acc: 0.9337, loss_cls: 3.8220, loss: 3.8220 2023-12-23 17:08:26,651 - pyskl - INFO - Epoch [13][700/3405] lr: 2.459e-02, eta: 1 day, 10:02:37, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7137, top5_acc: 0.9444, loss_cls: 3.7994, loss: 3.7994 2023-12-23 17:08:51,696 - pyskl - INFO - Epoch [13][800/3405] lr: 2.459e-02, eta: 1 day, 10:01:59, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7238, top5_acc: 0.9419, loss_cls: 3.7818, loss: 3.7818 2023-12-23 17:09:17,275 - pyskl - INFO - Epoch [13][900/3405] lr: 2.459e-02, eta: 1 day, 10:01:26, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6863, top5_acc: 0.9363, loss_cls: 3.8664, loss: 3.8664 2023-12-23 17:09:42,799 - pyskl - INFO - Epoch [13][1000/3405] lr: 2.459e-02, eta: 1 day, 10:00:54, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7262, top5_acc: 0.9456, loss_cls: 3.7997, loss: 3.7997 2023-12-23 17:10:07,822 - pyskl - INFO - Epoch [13][1100/3405] lr: 2.459e-02, eta: 1 day, 10:00:15, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7069, top5_acc: 0.9363, loss_cls: 3.8531, loss: 3.8531 2023-12-23 17:10:33,322 - pyskl - INFO - Epoch [13][1200/3405] lr: 2.458e-02, eta: 1 day, 9:59:42, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6994, top5_acc: 0.9350, loss_cls: 3.8519, loss: 3.8519 2023-12-23 17:10:58,854 - pyskl - INFO - Epoch [13][1300/3405] lr: 2.458e-02, eta: 1 day, 9:59:10, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7169, top5_acc: 0.9456, loss_cls: 3.8137, loss: 3.8137 2023-12-23 17:11:24,315 - pyskl - INFO - Epoch [13][1400/3405] lr: 2.458e-02, eta: 1 day, 9:58:37, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7075, top5_acc: 0.9287, loss_cls: 3.8578, loss: 3.8578 2023-12-23 17:11:49,619 - pyskl - INFO - Epoch [13][1500/3405] lr: 2.458e-02, eta: 1 day, 9:58:02, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7131, top5_acc: 0.9406, loss_cls: 3.8166, loss: 3.8166 2023-12-23 17:12:14,681 - pyskl - INFO - Epoch [13][1600/3405] lr: 2.458e-02, eta: 1 day, 9:57:24, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6944, top5_acc: 0.9275, loss_cls: 3.8889, loss: 3.8889 2023-12-23 17:12:39,918 - pyskl - INFO - Epoch [13][1700/3405] lr: 2.457e-02, eta: 1 day, 9:56:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7137, top5_acc: 0.9394, loss_cls: 3.8164, loss: 3.8164 2023-12-23 17:13:05,037 - pyskl - INFO - Epoch [13][1800/3405] lr: 2.457e-02, eta: 1 day, 9:56:11, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7156, top5_acc: 0.9313, loss_cls: 3.8244, loss: 3.8244 2023-12-23 17:13:30,349 - pyskl - INFO - Epoch [13][1900/3405] lr: 2.457e-02, eta: 1 day, 9:55:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7125, top5_acc: 0.9356, loss_cls: 3.8366, loss: 3.8366 2023-12-23 17:13:55,625 - pyskl - INFO - Epoch [13][2000/3405] lr: 2.457e-02, eta: 1 day, 9:55:02, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7106, top5_acc: 0.9394, loss_cls: 3.8437, loss: 3.8437 2023-12-23 17:14:20,889 - pyskl - INFO - Epoch [13][2100/3405] lr: 2.457e-02, eta: 1 day, 9:54:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7087, top5_acc: 0.9287, loss_cls: 3.8605, loss: 3.8605 2023-12-23 17:14:45,880 - pyskl - INFO - Epoch [13][2200/3405] lr: 2.456e-02, eta: 1 day, 9:53:48, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7238, top5_acc: 0.9475, loss_cls: 3.7807, loss: 3.7807 2023-12-23 17:15:10,870 - pyskl - INFO - Epoch [13][2300/3405] lr: 2.456e-02, eta: 1 day, 9:53:10, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7212, top5_acc: 0.9313, loss_cls: 3.8436, loss: 3.8436 2023-12-23 17:15:35,846 - pyskl - INFO - Epoch [13][2400/3405] lr: 2.456e-02, eta: 1 day, 9:52:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7269, top5_acc: 0.9450, loss_cls: 3.7790, loss: 3.7790 2023-12-23 17:16:00,839 - pyskl - INFO - Epoch [13][2500/3405] lr: 2.456e-02, eta: 1 day, 9:51:54, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7306, top5_acc: 0.9394, loss_cls: 3.7957, loss: 3.7957 2023-12-23 17:16:25,855 - pyskl - INFO - Epoch [13][2600/3405] lr: 2.456e-02, eta: 1 day, 9:51:17, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6919, top5_acc: 0.9275, loss_cls: 3.8831, loss: 3.8831 2023-12-23 17:16:50,876 - pyskl - INFO - Epoch [13][2700/3405] lr: 2.455e-02, eta: 1 day, 9:50:39, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7087, top5_acc: 0.9437, loss_cls: 3.8315, loss: 3.8315 2023-12-23 17:17:15,875 - pyskl - INFO - Epoch [13][2800/3405] lr: 2.455e-02, eta: 1 day, 9:50:02, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7087, top5_acc: 0.9387, loss_cls: 3.8166, loss: 3.8166 2023-12-23 17:17:40,858 - pyskl - INFO - Epoch [13][2900/3405] lr: 2.455e-02, eta: 1 day, 9:49:24, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7250, top5_acc: 0.9413, loss_cls: 3.7880, loss: 3.7880 2023-12-23 17:18:05,829 - pyskl - INFO - Epoch [13][3000/3405] lr: 2.455e-02, eta: 1 day, 9:48:46, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7087, top5_acc: 0.9344, loss_cls: 3.8246, loss: 3.8246 2023-12-23 17:18:30,807 - pyskl - INFO - Epoch [13][3100/3405] lr: 2.455e-02, eta: 1 day, 9:48:08, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7075, top5_acc: 0.9363, loss_cls: 3.8478, loss: 3.8478 2023-12-23 17:18:55,777 - pyskl - INFO - Epoch [13][3200/3405] lr: 2.454e-02, eta: 1 day, 9:47:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.6925, top5_acc: 0.9231, loss_cls: 3.9071, loss: 3.9071 2023-12-23 17:19:20,768 - pyskl - INFO - Epoch [13][3300/3405] lr: 2.454e-02, eta: 1 day, 9:46:53, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7206, top5_acc: 0.9463, loss_cls: 3.7783, loss: 3.7783 2023-12-23 17:19:45,855 - pyskl - INFO - Epoch [13][3400/3405] lr: 2.454e-02, eta: 1 day, 9:46:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6950, top5_acc: 0.9406, loss_cls: 3.8594, loss: 3.8594 2023-12-23 17:19:47,884 - pyskl - INFO - Saving checkpoint at 13 epochs 2023-12-23 17:24:11,131 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:24:11,767 - pyskl - INFO - top1_acc 0.6369 top5_acc 0.9035 2023-12-23 17:24:11,797 - pyskl - INFO - Epoch(val) [13][3718] top1_acc: 0.6369, top5_acc: 0.9035 2023-12-23 17:25:05,432 - pyskl - INFO - Epoch [14][100/3405] lr: 2.454e-02, eta: 1 day, 9:50:25, time: 0.536, data_time: 0.282, memory: 5236, top1_acc: 0.7294, top5_acc: 0.9456, loss_cls: 3.7874, loss: 3.7874 2023-12-23 17:25:31,040 - pyskl - INFO - Epoch [14][200/3405] lr: 2.454e-02, eta: 1 day, 9:49:54, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7063, top5_acc: 0.9481, loss_cls: 3.8132, loss: 3.8132 2023-12-23 17:25:56,104 - pyskl - INFO - Epoch [14][300/3405] lr: 2.453e-02, eta: 1 day, 9:49:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7206, top5_acc: 0.9506, loss_cls: 3.7703, loss: 3.7703 2023-12-23 17:26:21,476 - pyskl - INFO - Epoch [14][400/3405] lr: 2.453e-02, eta: 1 day, 9:48:43, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7281, top5_acc: 0.9437, loss_cls: 3.7802, loss: 3.7802 2023-12-23 17:26:47,092 - pyskl - INFO - Epoch [14][500/3405] lr: 2.453e-02, eta: 1 day, 9:48:11, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7356, top5_acc: 0.9500, loss_cls: 3.7584, loss: 3.7584 2023-12-23 17:27:12,488 - pyskl - INFO - Epoch [14][600/3405] lr: 2.453e-02, eta: 1 day, 9:47:38, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7194, top5_acc: 0.9387, loss_cls: 3.7796, loss: 3.7796 2023-12-23 17:27:38,348 - pyskl - INFO - Epoch [14][700/3405] lr: 2.452e-02, eta: 1 day, 9:47:09, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7037, top5_acc: 0.9450, loss_cls: 3.8125, loss: 3.8125 2023-12-23 17:28:04,013 - pyskl - INFO - Epoch [14][800/3405] lr: 2.452e-02, eta: 1 day, 9:46:38, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7137, top5_acc: 0.9425, loss_cls: 3.8259, loss: 3.8259 2023-12-23 17:28:29,919 - pyskl - INFO - Epoch [14][900/3405] lr: 2.452e-02, eta: 1 day, 9:46:10, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7031, top5_acc: 0.9400, loss_cls: 3.8052, loss: 3.8052 2023-12-23 17:28:55,643 - pyskl - INFO - Epoch [14][1000/3405] lr: 2.452e-02, eta: 1 day, 9:45:40, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7212, top5_acc: 0.9450, loss_cls: 3.8113, loss: 3.8113 2023-12-23 17:29:21,278 - pyskl - INFO - Epoch [14][1100/3405] lr: 2.452e-02, eta: 1 day, 9:45:09, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.6944, top5_acc: 0.9269, loss_cls: 3.8883, loss: 3.8883 2023-12-23 17:29:46,510 - pyskl - INFO - Epoch [14][1200/3405] lr: 2.451e-02, eta: 1 day, 9:44:34, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7212, top5_acc: 0.9437, loss_cls: 3.8007, loss: 3.8007 2023-12-23 17:30:11,766 - pyskl - INFO - Epoch [14][1300/3405] lr: 2.451e-02, eta: 1 day, 9:43:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7219, top5_acc: 0.9387, loss_cls: 3.8138, loss: 3.8138 2023-12-23 17:30:36,937 - pyskl - INFO - Epoch [14][1400/3405] lr: 2.451e-02, eta: 1 day, 9:43:23, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7013, top5_acc: 0.9337, loss_cls: 3.8598, loss: 3.8598 2023-12-23 17:31:02,030 - pyskl - INFO - Epoch [14][1500/3405] lr: 2.451e-02, eta: 1 day, 9:42:47, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6900, top5_acc: 0.9394, loss_cls: 3.8813, loss: 3.8813 2023-12-23 17:31:27,018 - pyskl - INFO - Epoch [14][1600/3405] lr: 2.451e-02, eta: 1 day, 9:42:10, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7100, top5_acc: 0.9413, loss_cls: 3.8005, loss: 3.8005 2023-12-23 17:31:52,044 - pyskl - INFO - Epoch [14][1700/3405] lr: 2.450e-02, eta: 1 day, 9:41:33, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7225, top5_acc: 0.9394, loss_cls: 3.8063, loss: 3.8063 2023-12-23 17:32:17,260 - pyskl - INFO - Epoch [14][1800/3405] lr: 2.450e-02, eta: 1 day, 9:40:58, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7056, top5_acc: 0.9356, loss_cls: 3.8606, loss: 3.8606 2023-12-23 17:32:42,499 - pyskl - INFO - Epoch [14][1900/3405] lr: 2.450e-02, eta: 1 day, 9:40:23, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7144, top5_acc: 0.9425, loss_cls: 3.7840, loss: 3.7840 2023-12-23 17:33:07,614 - pyskl - INFO - Epoch [14][2000/3405] lr: 2.450e-02, eta: 1 day, 9:39:47, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7156, top5_acc: 0.9363, loss_cls: 3.8079, loss: 3.8079 2023-12-23 17:33:32,809 - pyskl - INFO - Epoch [14][2100/3405] lr: 2.450e-02, eta: 1 day, 9:39:12, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7256, top5_acc: 0.9513, loss_cls: 3.7809, loss: 3.7809 2023-12-23 17:33:58,261 - pyskl - INFO - Epoch [14][2200/3405] lr: 2.449e-02, eta: 1 day, 9:38:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6894, top5_acc: 0.9319, loss_cls: 3.8903, loss: 3.8903 2023-12-23 17:34:23,225 - pyskl - INFO - Epoch [14][2300/3405] lr: 2.449e-02, eta: 1 day, 9:38:02, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7269, top5_acc: 0.9400, loss_cls: 3.7651, loss: 3.7651 2023-12-23 17:34:48,159 - pyskl - INFO - Epoch [14][2400/3405] lr: 2.449e-02, eta: 1 day, 9:37:25, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7288, top5_acc: 0.9450, loss_cls: 3.8002, loss: 3.8002 2023-12-23 17:35:13,333 - pyskl - INFO - Epoch [14][2500/3405] lr: 2.449e-02, eta: 1 day, 9:36:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7069, top5_acc: 0.9431, loss_cls: 3.8294, loss: 3.8294 2023-12-23 17:35:38,407 - pyskl - INFO - Epoch [14][2600/3405] lr: 2.448e-02, eta: 1 day, 9:36:14, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6844, top5_acc: 0.9456, loss_cls: 3.8730, loss: 3.8730 2023-12-23 17:36:03,501 - pyskl - INFO - Epoch [14][2700/3405] lr: 2.448e-02, eta: 1 day, 9:35:38, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7000, top5_acc: 0.9350, loss_cls: 3.8369, loss: 3.8369 2023-12-23 17:36:28,696 - pyskl - INFO - Epoch [14][2800/3405] lr: 2.448e-02, eta: 1 day, 9:35:03, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.6944, top5_acc: 0.9306, loss_cls: 3.8978, loss: 3.8978 2023-12-23 17:36:54,140 - pyskl - INFO - Epoch [14][2900/3405] lr: 2.448e-02, eta: 1 day, 9:34:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7106, top5_acc: 0.9406, loss_cls: 3.8163, loss: 3.8163 2023-12-23 17:37:19,158 - pyskl - INFO - Epoch [14][3000/3405] lr: 2.448e-02, eta: 1 day, 9:33:54, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7063, top5_acc: 0.9350, loss_cls: 3.8388, loss: 3.8388 2023-12-23 17:37:44,252 - pyskl - INFO - Epoch [14][3100/3405] lr: 2.447e-02, eta: 1 day, 9:33:19, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.6956, top5_acc: 0.9350, loss_cls: 3.9109, loss: 3.9109 2023-12-23 17:38:09,405 - pyskl - INFO - Epoch [14][3200/3405] lr: 2.447e-02, eta: 1 day, 9:32:44, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7206, top5_acc: 0.9425, loss_cls: 3.7891, loss: 3.7891 2023-12-23 17:38:34,544 - pyskl - INFO - Epoch [14][3300/3405] lr: 2.447e-02, eta: 1 day, 9:32:09, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7294, top5_acc: 0.9387, loss_cls: 3.8049, loss: 3.8049 2023-12-23 17:38:59,697 - pyskl - INFO - Epoch [14][3400/3405] lr: 2.447e-02, eta: 1 day, 9:31:34, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7056, top5_acc: 0.9394, loss_cls: 3.8456, loss: 3.8456 2023-12-23 17:39:01,772 - pyskl - INFO - Saving checkpoint at 14 epochs 2023-12-23 17:43:25,314 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:43:25,940 - pyskl - INFO - top1_acc 0.6612 top5_acc 0.9201 2023-12-23 17:43:25,969 - pyskl - INFO - Epoch(val) [14][3718] top1_acc: 0.6612, top5_acc: 0.9201 2023-12-23 17:44:20,419 - pyskl - INFO - Epoch [15][100/3405] lr: 2.446e-02, eta: 1 day, 9:35:29, time: 0.544, data_time: 0.290, memory: 5236, top1_acc: 0.7188, top5_acc: 0.9463, loss_cls: 3.7609, loss: 3.7609 2023-12-23 17:44:46,032 - pyskl - INFO - Epoch [15][200/3405] lr: 2.446e-02, eta: 1 day, 9:34:58, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7069, top5_acc: 0.9419, loss_cls: 3.8233, loss: 3.8233 2023-12-23 17:45:11,760 - pyskl - INFO - Epoch [15][300/3405] lr: 2.446e-02, eta: 1 day, 9:34:28, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7181, top5_acc: 0.9350, loss_cls: 3.8299, loss: 3.8299 2023-12-23 17:45:37,500 - pyskl - INFO - Epoch [15][400/3405] lr: 2.446e-02, eta: 1 day, 9:33:58, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7294, top5_acc: 0.9456, loss_cls: 3.7730, loss: 3.7730 2023-12-23 17:46:03,238 - pyskl - INFO - Epoch [15][500/3405] lr: 2.446e-02, eta: 1 day, 9:33:28, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7362, top5_acc: 0.9481, loss_cls: 3.7377, loss: 3.7377 2023-12-23 17:46:28,880 - pyskl - INFO - Epoch [15][600/3405] lr: 2.445e-02, eta: 1 day, 9:32:58, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7144, top5_acc: 0.9469, loss_cls: 3.7885, loss: 3.7885 2023-12-23 17:46:54,658 - pyskl - INFO - Epoch [15][700/3405] lr: 2.445e-02, eta: 1 day, 9:32:28, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7212, top5_acc: 0.9319, loss_cls: 3.8389, loss: 3.8389 2023-12-23 17:47:20,387 - pyskl - INFO - Epoch [15][800/3405] lr: 2.445e-02, eta: 1 day, 9:31:58, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7225, top5_acc: 0.9369, loss_cls: 3.7886, loss: 3.7886 2023-12-23 17:47:45,960 - pyskl - INFO - Epoch [15][900/3405] lr: 2.445e-02, eta: 1 day, 9:31:27, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7037, top5_acc: 0.9381, loss_cls: 3.8458, loss: 3.8458 2023-12-23 17:48:11,625 - pyskl - INFO - Epoch [15][1000/3405] lr: 2.444e-02, eta: 1 day, 9:30:57, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7137, top5_acc: 0.9406, loss_cls: 3.8329, loss: 3.8329 2023-12-23 17:48:37,062 - pyskl - INFO - Epoch [15][1100/3405] lr: 2.444e-02, eta: 1 day, 9:30:24, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7000, top5_acc: 0.9494, loss_cls: 3.8246, loss: 3.8246 2023-12-23 17:49:02,530 - pyskl - INFO - Epoch [15][1200/3405] lr: 2.444e-02, eta: 1 day, 9:29:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7156, top5_acc: 0.9431, loss_cls: 3.8146, loss: 3.8146 2023-12-23 17:49:28,123 - pyskl - INFO - Epoch [15][1300/3405] lr: 2.444e-02, eta: 1 day, 9:29:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7044, top5_acc: 0.9369, loss_cls: 3.8592, loss: 3.8592 2023-12-23 17:49:53,517 - pyskl - INFO - Epoch [15][1400/3405] lr: 2.443e-02, eta: 1 day, 9:28:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7175, top5_acc: 0.9444, loss_cls: 3.7924, loss: 3.7924 2023-12-23 17:50:19,113 - pyskl - INFO - Epoch [15][1500/3405] lr: 2.443e-02, eta: 1 day, 9:28:17, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7294, top5_acc: 0.9506, loss_cls: 3.7790, loss: 3.7790 2023-12-23 17:50:44,688 - pyskl - INFO - Epoch [15][1600/3405] lr: 2.443e-02, eta: 1 day, 9:27:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7094, top5_acc: 0.9400, loss_cls: 3.7964, loss: 3.7964 2023-12-23 17:51:10,311 - pyskl - INFO - Epoch [15][1700/3405] lr: 2.443e-02, eta: 1 day, 9:27:16, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7113, top5_acc: 0.9425, loss_cls: 3.8160, loss: 3.8160 2023-12-23 17:51:35,816 - pyskl - INFO - Epoch [15][1800/3405] lr: 2.443e-02, eta: 1 day, 9:26:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7288, top5_acc: 0.9437, loss_cls: 3.8045, loss: 3.8045 2023-12-23 17:52:01,138 - pyskl - INFO - Epoch [15][1900/3405] lr: 2.442e-02, eta: 1 day, 9:26:11, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7325, top5_acc: 0.9494, loss_cls: 3.7774, loss: 3.7774 2023-12-23 17:52:26,368 - pyskl - INFO - Epoch [15][2000/3405] lr: 2.442e-02, eta: 1 day, 9:25:36, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7181, top5_acc: 0.9413, loss_cls: 3.8037, loss: 3.8037 2023-12-23 17:52:51,659 - pyskl - INFO - Epoch [15][2100/3405] lr: 2.442e-02, eta: 1 day, 9:25:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7394, top5_acc: 0.9450, loss_cls: 3.7468, loss: 3.7468 2023-12-23 17:53:17,118 - pyskl - INFO - Epoch [15][2200/3405] lr: 2.442e-02, eta: 1 day, 9:24:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7200, top5_acc: 0.9444, loss_cls: 3.7949, loss: 3.7949 2023-12-23 17:53:42,302 - pyskl - INFO - Epoch [15][2300/3405] lr: 2.441e-02, eta: 1 day, 9:23:56, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7294, top5_acc: 0.9506, loss_cls: 3.8025, loss: 3.8025 2023-12-23 17:54:07,480 - pyskl - INFO - Epoch [15][2400/3405] lr: 2.441e-02, eta: 1 day, 9:23:22, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7031, top5_acc: 0.9325, loss_cls: 3.8710, loss: 3.8710 2023-12-23 17:54:32,536 - pyskl - INFO - Epoch [15][2500/3405] lr: 2.441e-02, eta: 1 day, 9:22:46, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7231, top5_acc: 0.9313, loss_cls: 3.7981, loss: 3.7981 2023-12-23 17:54:57,964 - pyskl - INFO - Epoch [15][2600/3405] lr: 2.441e-02, eta: 1 day, 9:22:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7219, top5_acc: 0.9419, loss_cls: 3.7841, loss: 3.7841 2023-12-23 17:55:23,265 - pyskl - INFO - Epoch [15][2700/3405] lr: 2.440e-02, eta: 1 day, 9:21:41, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7262, top5_acc: 0.9425, loss_cls: 3.7825, loss: 3.7825 2023-12-23 17:55:48,615 - pyskl - INFO - Epoch [15][2800/3405] lr: 2.440e-02, eta: 1 day, 9:21:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9469, loss_cls: 3.7544, loss: 3.7544 2023-12-23 17:56:13,874 - pyskl - INFO - Epoch [15][2900/3405] lr: 2.440e-02, eta: 1 day, 9:20:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7288, top5_acc: 0.9400, loss_cls: 3.7598, loss: 3.7598 2023-12-23 17:56:39,215 - pyskl - INFO - Epoch [15][3000/3405] lr: 2.440e-02, eta: 1 day, 9:20:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7000, top5_acc: 0.9225, loss_cls: 3.8938, loss: 3.8938 2023-12-23 17:57:04,398 - pyskl - INFO - Epoch [15][3100/3405] lr: 2.440e-02, eta: 1 day, 9:19:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7325, top5_acc: 0.9381, loss_cls: 3.7711, loss: 3.7711 2023-12-23 17:57:29,631 - pyskl - INFO - Epoch [15][3200/3405] lr: 2.439e-02, eta: 1 day, 9:18:53, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7219, top5_acc: 0.9469, loss_cls: 3.7886, loss: 3.7886 2023-12-23 17:57:54,865 - pyskl - INFO - Epoch [15][3300/3405] lr: 2.439e-02, eta: 1 day, 9:18:20, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7331, top5_acc: 0.9475, loss_cls: 3.7432, loss: 3.7432 2023-12-23 17:58:20,127 - pyskl - INFO - Epoch [15][3400/3405] lr: 2.439e-02, eta: 1 day, 9:17:46, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7013, top5_acc: 0.9306, loss_cls: 3.8693, loss: 3.8693 2023-12-23 17:58:22,224 - pyskl - INFO - Saving checkpoint at 15 epochs 2023-12-23 18:02:45,451 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:02:46,050 - pyskl - INFO - top1_acc 0.6958 top5_acc 0.9284 2023-12-23 18:02:46,055 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_12.pth was removed 2023-12-23 18:02:46,276 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. 2023-12-23 18:02:46,278 - pyskl - INFO - Best top1_acc is 0.6958 at 15 epoch. 2023-12-23 18:02:46,304 - pyskl - INFO - Epoch(val) [15][3718] top1_acc: 0.6958, top5_acc: 0.9284 2023-12-23 18:03:39,635 - pyskl - INFO - Epoch [16][100/3405] lr: 2.439e-02, eta: 1 day, 9:21:12, time: 0.533, data_time: 0.281, memory: 5236, top1_acc: 0.7206, top5_acc: 0.9419, loss_cls: 3.7830, loss: 3.7830 2023-12-23 18:04:05,317 - pyskl - INFO - Epoch [16][200/3405] lr: 2.438e-02, eta: 1 day, 9:20:42, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7200, top5_acc: 0.9469, loss_cls: 3.7928, loss: 3.7928 2023-12-23 18:04:30,925 - pyskl - INFO - Epoch [16][300/3405] lr: 2.438e-02, eta: 1 day, 9:20:11, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7175, top5_acc: 0.9400, loss_cls: 3.8219, loss: 3.8219 2023-12-23 18:04:56,580 - pyskl - INFO - Epoch [16][400/3405] lr: 2.438e-02, eta: 1 day, 9:19:41, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9500, loss_cls: 3.7049, loss: 3.7049 2023-12-23 18:05:21,923 - pyskl - INFO - Epoch [16][500/3405] lr: 2.438e-02, eta: 1 day, 9:19:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7125, top5_acc: 0.9550, loss_cls: 3.7719, loss: 3.7719 2023-12-23 18:05:47,529 - pyskl - INFO - Epoch [16][600/3405] lr: 2.437e-02, eta: 1 day, 9:18:37, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7225, top5_acc: 0.9406, loss_cls: 3.7999, loss: 3.7999 2023-12-23 18:06:13,160 - pyskl - INFO - Epoch [16][700/3405] lr: 2.437e-02, eta: 1 day, 9:18:06, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7344, top5_acc: 0.9444, loss_cls: 3.7571, loss: 3.7571 2023-12-23 18:06:38,961 - pyskl - INFO - Epoch [16][800/3405] lr: 2.437e-02, eta: 1 day, 9:17:37, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7019, top5_acc: 0.9387, loss_cls: 3.8316, loss: 3.8316 2023-12-23 18:07:04,414 - pyskl - INFO - Epoch [16][900/3405] lr: 2.437e-02, eta: 1 day, 9:17:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.6906, top5_acc: 0.9375, loss_cls: 3.8766, loss: 3.8766 2023-12-23 18:07:30,190 - pyskl - INFO - Epoch [16][1000/3405] lr: 2.436e-02, eta: 1 day, 9:16:36, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7275, top5_acc: 0.9469, loss_cls: 3.7951, loss: 3.7951 2023-12-23 18:07:55,690 - pyskl - INFO - Epoch [16][1100/3405] lr: 2.436e-02, eta: 1 day, 9:16:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7206, top5_acc: 0.9437, loss_cls: 3.7969, loss: 3.7969 2023-12-23 18:08:21,050 - pyskl - INFO - Epoch [16][1200/3405] lr: 2.436e-02, eta: 1 day, 9:15:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7250, top5_acc: 0.9513, loss_cls: 3.7657, loss: 3.7657 2023-12-23 18:08:46,383 - pyskl - INFO - Epoch [16][1300/3405] lr: 2.436e-02, eta: 1 day, 9:14:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7125, top5_acc: 0.9369, loss_cls: 3.8157, loss: 3.8157 2023-12-23 18:09:11,817 - pyskl - INFO - Epoch [16][1400/3405] lr: 2.435e-02, eta: 1 day, 9:14:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7362, top5_acc: 0.9500, loss_cls: 3.7207, loss: 3.7207 2023-12-23 18:09:37,295 - pyskl - INFO - Epoch [16][1500/3405] lr: 2.435e-02, eta: 1 day, 9:13:55, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7175, top5_acc: 0.9481, loss_cls: 3.8058, loss: 3.8058 2023-12-23 18:10:02,727 - pyskl - INFO - Epoch [16][1600/3405] lr: 2.435e-02, eta: 1 day, 9:13:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7137, top5_acc: 0.9487, loss_cls: 3.7948, loss: 3.7948 2023-12-23 18:10:28,145 - pyskl - INFO - Epoch [16][1700/3405] lr: 2.435e-02, eta: 1 day, 9:12:51, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7275, top5_acc: 0.9387, loss_cls: 3.7724, loss: 3.7724 2023-12-23 18:10:53,548 - pyskl - INFO - Epoch [16][1800/3405] lr: 2.434e-02, eta: 1 day, 9:12:19, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7288, top5_acc: 0.9400, loss_cls: 3.7907, loss: 3.7907 2023-12-23 18:11:18,857 - pyskl - INFO - Epoch [16][1900/3405] lr: 2.434e-02, eta: 1 day, 9:11:46, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7444, top5_acc: 0.9475, loss_cls: 3.7120, loss: 3.7120 2023-12-23 18:11:44,050 - pyskl - INFO - Epoch [16][2000/3405] lr: 2.434e-02, eta: 1 day, 9:11:12, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7225, top5_acc: 0.9500, loss_cls: 3.7706, loss: 3.7706 2023-12-23 18:12:09,477 - pyskl - INFO - Epoch [16][2100/3405] lr: 2.434e-02, eta: 1 day, 9:10:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7150, top5_acc: 0.9450, loss_cls: 3.7895, loss: 3.7895 2023-12-23 18:12:34,947 - pyskl - INFO - Epoch [16][2200/3405] lr: 2.433e-02, eta: 1 day, 9:10:08, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7094, top5_acc: 0.9350, loss_cls: 3.8433, loss: 3.8433 2023-12-23 18:13:00,363 - pyskl - INFO - Epoch [16][2300/3405] lr: 2.433e-02, eta: 1 day, 9:09:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.6981, top5_acc: 0.9375, loss_cls: 3.8818, loss: 3.8818 2023-12-23 18:13:25,629 - pyskl - INFO - Epoch [16][2400/3405] lr: 2.433e-02, eta: 1 day, 9:09:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9487, loss_cls: 3.7392, loss: 3.7392 2023-12-23 18:13:51,054 - pyskl - INFO - Epoch [16][2500/3405] lr: 2.433e-02, eta: 1 day, 9:08:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7188, top5_acc: 0.9369, loss_cls: 3.8269, loss: 3.8269 2023-12-23 18:14:16,413 - pyskl - INFO - Epoch [16][2600/3405] lr: 2.432e-02, eta: 1 day, 9:07:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7188, top5_acc: 0.9481, loss_cls: 3.8072, loss: 3.8072 2023-12-23 18:14:41,609 - pyskl - INFO - Epoch [16][2700/3405] lr: 2.432e-02, eta: 1 day, 9:07:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7000, top5_acc: 0.9319, loss_cls: 3.8231, loss: 3.8231 2023-12-23 18:15:06,787 - pyskl - INFO - Epoch [16][2800/3405] lr: 2.432e-02, eta: 1 day, 9:06:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7194, top5_acc: 0.9363, loss_cls: 3.7938, loss: 3.7938 2023-12-23 18:15:31,889 - pyskl - INFO - Epoch [16][2900/3405] lr: 2.432e-02, eta: 1 day, 9:06:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7331, top5_acc: 0.9487, loss_cls: 3.7482, loss: 3.7482 2023-12-23 18:15:56,890 - pyskl - INFO - Epoch [16][3000/3405] lr: 2.431e-02, eta: 1 day, 9:05:41, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7025, top5_acc: 0.9413, loss_cls: 3.8106, loss: 3.8106 2023-12-23 18:16:21,914 - pyskl - INFO - Epoch [16][3100/3405] lr: 2.431e-02, eta: 1 day, 9:05:06, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7144, top5_acc: 0.9419, loss_cls: 3.8266, loss: 3.8266 2023-12-23 18:16:46,901 - pyskl - INFO - Epoch [16][3200/3405] lr: 2.431e-02, eta: 1 day, 9:04:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7256, top5_acc: 0.9413, loss_cls: 3.8117, loss: 3.8117 2023-12-23 18:17:11,916 - pyskl - INFO - Epoch [16][3300/3405] lr: 2.431e-02, eta: 1 day, 9:03:56, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7300, top5_acc: 0.9431, loss_cls: 3.7993, loss: 3.7993 2023-12-23 18:17:36,969 - pyskl - INFO - Epoch [16][3400/3405] lr: 2.430e-02, eta: 1 day, 9:03:21, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7275, top5_acc: 0.9444, loss_cls: 3.7829, loss: 3.7829 2023-12-23 18:17:38,964 - pyskl - INFO - Saving checkpoint at 16 epochs 2023-12-23 18:22:03,166 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:22:03,764 - pyskl - INFO - top1_acc 0.7118 top5_acc 0.9384 2023-12-23 18:22:03,769 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_15.pth was removed 2023-12-23 18:22:03,985 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. 2023-12-23 18:22:03,986 - pyskl - INFO - Best top1_acc is 0.7118 at 16 epoch. 2023-12-23 18:22:04,013 - pyskl - INFO - Epoch(val) [16][3718] top1_acc: 0.7118, top5_acc: 0.9384 2023-12-23 18:22:57,623 - pyskl - INFO - Epoch [17][100/3405] lr: 2.430e-02, eta: 1 day, 9:06:33, time: 0.536, data_time: 0.281, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9500, loss_cls: 3.7101, loss: 3.7101 2023-12-23 18:23:22,674 - pyskl - INFO - Epoch [17][200/3405] lr: 2.430e-02, eta: 1 day, 9:05:58, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9531, loss_cls: 3.6999, loss: 3.6999 2023-12-23 18:23:47,907 - pyskl - INFO - Epoch [17][300/3405] lr: 2.430e-02, eta: 1 day, 9:05:24, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7450, top5_acc: 0.9506, loss_cls: 3.7023, loss: 3.7023 2023-12-23 18:24:13,356 - pyskl - INFO - Epoch [17][400/3405] lr: 2.429e-02, eta: 1 day, 9:04:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7281, top5_acc: 0.9531, loss_cls: 3.7703, loss: 3.7703 2023-12-23 18:24:38,928 - pyskl - INFO - Epoch [17][500/3405] lr: 2.429e-02, eta: 1 day, 9:04:22, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7156, top5_acc: 0.9450, loss_cls: 3.7957, loss: 3.7957 2023-12-23 18:25:04,603 - pyskl - INFO - Epoch [17][600/3405] lr: 2.429e-02, eta: 1 day, 9:03:52, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7362, top5_acc: 0.9469, loss_cls: 3.7514, loss: 3.7514 2023-12-23 18:25:30,297 - pyskl - INFO - Epoch [17][700/3405] lr: 2.429e-02, eta: 1 day, 9:03:22, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7225, top5_acc: 0.9475, loss_cls: 3.7819, loss: 3.7819 2023-12-23 18:25:56,039 - pyskl - INFO - Epoch [17][800/3405] lr: 2.428e-02, eta: 1 day, 9:02:53, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.6969, top5_acc: 0.9450, loss_cls: 3.8151, loss: 3.8151 2023-12-23 18:26:21,478 - pyskl - INFO - Epoch [17][900/3405] lr: 2.428e-02, eta: 1 day, 9:02:21, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7338, top5_acc: 0.9519, loss_cls: 3.7517, loss: 3.7517 2023-12-23 18:26:47,595 - pyskl - INFO - Epoch [17][1000/3405] lr: 2.428e-02, eta: 1 day, 9:01:55, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.7200, top5_acc: 0.9413, loss_cls: 3.7893, loss: 3.7893 2023-12-23 18:27:12,929 - pyskl - INFO - Epoch [17][1100/3405] lr: 2.428e-02, eta: 1 day, 9:01:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7013, top5_acc: 0.9337, loss_cls: 3.8535, loss: 3.8535 2023-12-23 18:27:38,418 - pyskl - INFO - Epoch [17][1200/3405] lr: 2.427e-02, eta: 1 day, 9:00:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7338, top5_acc: 0.9494, loss_cls: 3.7458, loss: 3.7458 2023-12-23 18:28:03,892 - pyskl - INFO - Epoch [17][1300/3405] lr: 2.427e-02, eta: 1 day, 9:00:20, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7063, top5_acc: 0.9394, loss_cls: 3.8220, loss: 3.8220 2023-12-23 18:28:29,229 - pyskl - INFO - Epoch [17][1400/3405] lr: 2.427e-02, eta: 1 day, 8:59:47, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7175, top5_acc: 0.9406, loss_cls: 3.8181, loss: 3.8181 2023-12-23 18:28:54,197 - pyskl - INFO - Epoch [17][1500/3405] lr: 2.427e-02, eta: 1 day, 8:59:12, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7381, top5_acc: 0.9419, loss_cls: 3.7916, loss: 3.7916 2023-12-23 18:29:19,206 - pyskl - INFO - Epoch [17][1600/3405] lr: 2.426e-02, eta: 1 day, 8:58:37, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7319, top5_acc: 0.9419, loss_cls: 3.7369, loss: 3.7369 2023-12-23 18:29:44,234 - pyskl - INFO - Epoch [17][1700/3405] lr: 2.426e-02, eta: 1 day, 8:58:02, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7369, top5_acc: 0.9494, loss_cls: 3.7720, loss: 3.7720 2023-12-23 18:30:09,451 - pyskl - INFO - Epoch [17][1800/3405] lr: 2.426e-02, eta: 1 day, 8:57:29, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7231, top5_acc: 0.9463, loss_cls: 3.7741, loss: 3.7741 2023-12-23 18:30:35,197 - pyskl - INFO - Epoch [17][1900/3405] lr: 2.426e-02, eta: 1 day, 8:57:00, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7150, top5_acc: 0.9369, loss_cls: 3.8097, loss: 3.8097 2023-12-23 18:31:00,773 - pyskl - INFO - Epoch [17][2000/3405] lr: 2.425e-02, eta: 1 day, 8:56:29, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7325, top5_acc: 0.9481, loss_cls: 3.7501, loss: 3.7501 2023-12-23 18:31:26,131 - pyskl - INFO - Epoch [17][2100/3405] lr: 2.425e-02, eta: 1 day, 8:55:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7300, top5_acc: 0.9363, loss_cls: 3.7951, loss: 3.7951 2023-12-23 18:31:51,334 - pyskl - INFO - Epoch [17][2200/3405] lr: 2.425e-02, eta: 1 day, 8:55:24, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9437, loss_cls: 3.7264, loss: 3.7264 2023-12-23 18:32:16,572 - pyskl - INFO - Epoch [17][2300/3405] lr: 2.425e-02, eta: 1 day, 8:54:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7063, top5_acc: 0.9400, loss_cls: 3.8048, loss: 3.8048 2023-12-23 18:32:41,712 - pyskl - INFO - Epoch [17][2400/3405] lr: 2.424e-02, eta: 1 day, 8:54:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7037, top5_acc: 0.9487, loss_cls: 3.8062, loss: 3.8062 2023-12-23 18:33:07,109 - pyskl - INFO - Epoch [17][2500/3405] lr: 2.424e-02, eta: 1 day, 8:53:45, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7231, top5_acc: 0.9456, loss_cls: 3.7810, loss: 3.7810 2023-12-23 18:33:32,635 - pyskl - INFO - Epoch [17][2600/3405] lr: 2.424e-02, eta: 1 day, 8:53:15, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7256, top5_acc: 0.9387, loss_cls: 3.7619, loss: 3.7619 2023-12-23 18:33:58,029 - pyskl - INFO - Epoch [17][2700/3405] lr: 2.423e-02, eta: 1 day, 8:52:43, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7150, top5_acc: 0.9406, loss_cls: 3.7821, loss: 3.7821 2023-12-23 18:34:23,382 - pyskl - INFO - Epoch [17][2800/3405] lr: 2.423e-02, eta: 1 day, 8:52:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7256, top5_acc: 0.9375, loss_cls: 3.8097, loss: 3.8097 2023-12-23 18:34:48,776 - pyskl - INFO - Epoch [17][2900/3405] lr: 2.423e-02, eta: 1 day, 8:51:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7319, top5_acc: 0.9350, loss_cls: 3.7762, loss: 3.7762 2023-12-23 18:35:14,169 - pyskl - INFO - Epoch [17][3000/3405] lr: 2.423e-02, eta: 1 day, 8:51:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7150, top5_acc: 0.9444, loss_cls: 3.7859, loss: 3.7859 2023-12-23 18:35:39,397 - pyskl - INFO - Epoch [17][3100/3405] lr: 2.422e-02, eta: 1 day, 8:50:35, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7350, top5_acc: 0.9469, loss_cls: 3.7434, loss: 3.7434 2023-12-23 18:36:04,537 - pyskl - INFO - Epoch [17][3200/3405] lr: 2.422e-02, eta: 1 day, 8:50:01, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7269, top5_acc: 0.9394, loss_cls: 3.7800, loss: 3.7800 2023-12-23 18:36:30,064 - pyskl - INFO - Epoch [17][3300/3405] lr: 2.422e-02, eta: 1 day, 8:49:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7150, top5_acc: 0.9413, loss_cls: 3.8234, loss: 3.8234 2023-12-23 18:36:55,432 - pyskl - INFO - Epoch [17][3400/3405] lr: 2.422e-02, eta: 1 day, 8:48:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7219, top5_acc: 0.9394, loss_cls: 3.7924, loss: 3.7924 2023-12-23 18:36:57,338 - pyskl - INFO - Saving checkpoint at 17 epochs 2023-12-23 18:41:21,302 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:41:21,934 - pyskl - INFO - top1_acc 0.6787 top5_acc 0.9295 2023-12-23 18:41:21,962 - pyskl - INFO - Epoch(val) [17][3718] top1_acc: 0.6787, top5_acc: 0.9295 2023-12-23 18:42:16,147 - pyskl - INFO - Epoch [18][100/3405] lr: 2.421e-02, eta: 1 day, 8:52:01, time: 0.542, data_time: 0.287, memory: 5236, top1_acc: 0.7169, top5_acc: 0.9387, loss_cls: 3.8092, loss: 3.8092 2023-12-23 18:42:41,701 - pyskl - INFO - Epoch [18][200/3405] lr: 2.421e-02, eta: 1 day, 8:51:30, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9575, loss_cls: 3.6702, loss: 3.6702 2023-12-23 18:43:07,318 - pyskl - INFO - Epoch [18][300/3405] lr: 2.421e-02, eta: 1 day, 8:51:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9500, loss_cls: 3.7034, loss: 3.7034 2023-12-23 18:43:33,068 - pyskl - INFO - Epoch [18][400/3405] lr: 2.421e-02, eta: 1 day, 8:50:31, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7150, top5_acc: 0.9506, loss_cls: 3.7682, loss: 3.7682 2023-12-23 18:43:58,408 - pyskl - INFO - Epoch [18][500/3405] lr: 2.420e-02, eta: 1 day, 8:49:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7338, top5_acc: 0.9481, loss_cls: 3.7308, loss: 3.7308 2023-12-23 18:44:23,755 - pyskl - INFO - Epoch [18][600/3405] lr: 2.420e-02, eta: 1 day, 8:49:27, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7150, top5_acc: 0.9325, loss_cls: 3.8120, loss: 3.8120 2023-12-23 18:44:49,068 - pyskl - INFO - Epoch [18][700/3405] lr: 2.420e-02, eta: 1 day, 8:48:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7238, top5_acc: 0.9406, loss_cls: 3.7793, loss: 3.7793 2023-12-23 18:45:14,633 - pyskl - INFO - Epoch [18][800/3405] lr: 2.419e-02, eta: 1 day, 8:48:24, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7362, top5_acc: 0.9400, loss_cls: 3.7982, loss: 3.7982 2023-12-23 18:45:39,656 - pyskl - INFO - Epoch [18][900/3405] lr: 2.419e-02, eta: 1 day, 8:47:49, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7262, top5_acc: 0.9450, loss_cls: 3.7669, loss: 3.7669 2023-12-23 18:46:05,111 - pyskl - INFO - Epoch [18][1000/3405] lr: 2.419e-02, eta: 1 day, 8:47:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7231, top5_acc: 0.9356, loss_cls: 3.7912, loss: 3.7912 2023-12-23 18:46:30,781 - pyskl - INFO - Epoch [18][1100/3405] lr: 2.419e-02, eta: 1 day, 8:46:48, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7294, top5_acc: 0.9437, loss_cls: 3.7704, loss: 3.7704 2023-12-23 18:46:56,316 - pyskl - INFO - Epoch [18][1200/3405] lr: 2.418e-02, eta: 1 day, 8:46:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7475, top5_acc: 0.9444, loss_cls: 3.7371, loss: 3.7371 2023-12-23 18:47:21,603 - pyskl - INFO - Epoch [18][1300/3405] lr: 2.418e-02, eta: 1 day, 8:45:45, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7137, top5_acc: 0.9419, loss_cls: 3.7952, loss: 3.7952 2023-12-23 18:47:47,049 - pyskl - INFO - Epoch [18][1400/3405] lr: 2.418e-02, eta: 1 day, 8:45:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7037, top5_acc: 0.9513, loss_cls: 3.7899, loss: 3.7899 2023-12-23 18:48:12,228 - pyskl - INFO - Epoch [18][1500/3405] lr: 2.418e-02, eta: 1 day, 8:44:41, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7512, top5_acc: 0.9481, loss_cls: 3.7323, loss: 3.7323 2023-12-23 18:48:37,532 - pyskl - INFO - Epoch [18][1600/3405] lr: 2.417e-02, eta: 1 day, 8:44:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7338, top5_acc: 0.9487, loss_cls: 3.7567, loss: 3.7567 2023-12-23 18:49:03,033 - pyskl - INFO - Epoch [18][1700/3405] lr: 2.417e-02, eta: 1 day, 8:43:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7206, top5_acc: 0.9413, loss_cls: 3.7994, loss: 3.7994 2023-12-23 18:49:28,664 - pyskl - INFO - Epoch [18][1800/3405] lr: 2.417e-02, eta: 1 day, 8:43:08, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7362, top5_acc: 0.9513, loss_cls: 3.7205, loss: 3.7205 2023-12-23 18:49:53,911 - pyskl - INFO - Epoch [18][1900/3405] lr: 2.416e-02, eta: 1 day, 8:42:35, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7225, top5_acc: 0.9437, loss_cls: 3.7777, loss: 3.7777 2023-12-23 18:50:19,293 - pyskl - INFO - Epoch [18][2000/3405] lr: 2.416e-02, eta: 1 day, 8:42:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7131, top5_acc: 0.9400, loss_cls: 3.8174, loss: 3.8174 2023-12-23 18:50:44,555 - pyskl - INFO - Epoch [18][2100/3405] lr: 2.416e-02, eta: 1 day, 8:41:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7369, top5_acc: 0.9481, loss_cls: 3.7751, loss: 3.7751 2023-12-23 18:51:09,927 - pyskl - INFO - Epoch [18][2200/3405] lr: 2.416e-02, eta: 1 day, 8:40:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7369, top5_acc: 0.9437, loss_cls: 3.7494, loss: 3.7494 2023-12-23 18:51:35,200 - pyskl - INFO - Epoch [18][2300/3405] lr: 2.415e-02, eta: 1 day, 8:40:27, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7163, top5_acc: 0.9406, loss_cls: 3.8400, loss: 3.8400 2023-12-23 18:52:00,623 - pyskl - INFO - Epoch [18][2400/3405] lr: 2.415e-02, eta: 1 day, 8:39:56, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9463, loss_cls: 3.7493, loss: 3.7493 2023-12-23 18:52:25,990 - pyskl - INFO - Epoch [18][2500/3405] lr: 2.415e-02, eta: 1 day, 8:39:24, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7381, top5_acc: 0.9481, loss_cls: 3.7517, loss: 3.7517 2023-12-23 18:52:51,241 - pyskl - INFO - Epoch [18][2600/3405] lr: 2.414e-02, eta: 1 day, 8:38:52, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9413, loss_cls: 3.7338, loss: 3.7338 2023-12-23 18:53:16,686 - pyskl - INFO - Epoch [18][2700/3405] lr: 2.414e-02, eta: 1 day, 8:38:21, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7169, top5_acc: 0.9487, loss_cls: 3.7832, loss: 3.7832 2023-12-23 18:53:42,216 - pyskl - INFO - Epoch [18][2800/3405] lr: 2.414e-02, eta: 1 day, 8:37:50, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7294, top5_acc: 0.9394, loss_cls: 3.7763, loss: 3.7763 2023-12-23 18:54:07,513 - pyskl - INFO - Epoch [18][2900/3405] lr: 2.414e-02, eta: 1 day, 8:37:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7300, top5_acc: 0.9513, loss_cls: 3.7560, loss: 3.7560 2023-12-23 18:54:32,918 - pyskl - INFO - Epoch [18][3000/3405] lr: 2.413e-02, eta: 1 day, 8:36:47, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7288, top5_acc: 0.9394, loss_cls: 3.7846, loss: 3.7846 2023-12-23 18:54:58,436 - pyskl - INFO - Epoch [18][3100/3405] lr: 2.413e-02, eta: 1 day, 8:36:17, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7300, top5_acc: 0.9387, loss_cls: 3.8033, loss: 3.8033 2023-12-23 18:55:23,738 - pyskl - INFO - Epoch [18][3200/3405] lr: 2.413e-02, eta: 1 day, 8:35:45, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7225, top5_acc: 0.9463, loss_cls: 3.7999, loss: 3.7999 2023-12-23 18:55:48,870 - pyskl - INFO - Epoch [18][3300/3405] lr: 2.413e-02, eta: 1 day, 8:35:12, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7231, top5_acc: 0.9406, loss_cls: 3.7908, loss: 3.7908 2023-12-23 18:56:14,378 - pyskl - INFO - Epoch [18][3400/3405] lr: 2.412e-02, eta: 1 day, 8:34:41, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7350, top5_acc: 0.9387, loss_cls: 3.7665, loss: 3.7665 2023-12-23 18:56:16,570 - pyskl - INFO - Saving checkpoint at 18 epochs 2023-12-23 19:00:40,922 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:00:41,530 - pyskl - INFO - top1_acc 0.6918 top5_acc 0.9294 2023-12-23 19:00:41,557 - pyskl - INFO - Epoch(val) [18][3718] top1_acc: 0.6918, top5_acc: 0.9294 2023-12-23 19:01:35,782 - pyskl - INFO - Epoch [19][100/3405] lr: 2.412e-02, eta: 1 day, 8:37:30, time: 0.542, data_time: 0.288, memory: 5236, top1_acc: 0.7231, top5_acc: 0.9413, loss_cls: 3.7771, loss: 3.7771 2023-12-23 19:02:01,302 - pyskl - INFO - Epoch [19][200/3405] lr: 2.412e-02, eta: 1 day, 8:36:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7319, top5_acc: 0.9513, loss_cls: 3.7465, loss: 3.7465 2023-12-23 19:02:27,073 - pyskl - INFO - Epoch [19][300/3405] lr: 2.411e-02, eta: 1 day, 8:36:31, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7538, top5_acc: 0.9475, loss_cls: 3.7199, loss: 3.7199 2023-12-23 19:02:52,634 - pyskl - INFO - Epoch [19][400/3405] lr: 2.411e-02, eta: 1 day, 8:36:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9506, loss_cls: 3.6712, loss: 3.6712 2023-12-23 19:03:18,116 - pyskl - INFO - Epoch [19][500/3405] lr: 2.411e-02, eta: 1 day, 8:35:29, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7225, top5_acc: 0.9394, loss_cls: 3.8111, loss: 3.8111 2023-12-23 19:03:43,534 - pyskl - INFO - Epoch [19][600/3405] lr: 2.411e-02, eta: 1 day, 8:34:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7219, top5_acc: 0.9431, loss_cls: 3.7914, loss: 3.7914 2023-12-23 19:04:09,091 - pyskl - INFO - Epoch [19][700/3405] lr: 2.410e-02, eta: 1 day, 8:34:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7381, top5_acc: 0.9563, loss_cls: 3.7169, loss: 3.7169 2023-12-23 19:04:34,703 - pyskl - INFO - Epoch [19][800/3405] lr: 2.410e-02, eta: 1 day, 8:33:58, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7319, top5_acc: 0.9506, loss_cls: 3.7358, loss: 3.7358 2023-12-23 19:05:00,152 - pyskl - INFO - Epoch [19][900/3405] lr: 2.410e-02, eta: 1 day, 8:33:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9475, loss_cls: 3.7302, loss: 3.7302 2023-12-23 19:05:25,628 - pyskl - INFO - Epoch [19][1000/3405] lr: 2.409e-02, eta: 1 day, 8:32:56, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7325, top5_acc: 0.9369, loss_cls: 3.7831, loss: 3.7831 2023-12-23 19:05:51,092 - pyskl - INFO - Epoch [19][1100/3405] lr: 2.409e-02, eta: 1 day, 8:32:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9506, loss_cls: 3.7226, loss: 3.7226 2023-12-23 19:06:16,680 - pyskl - INFO - Epoch [19][1200/3405] lr: 2.409e-02, eta: 1 day, 8:31:55, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7250, top5_acc: 0.9519, loss_cls: 3.7788, loss: 3.7788 2023-12-23 19:06:42,017 - pyskl - INFO - Epoch [19][1300/3405] lr: 2.409e-02, eta: 1 day, 8:31:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7369, top5_acc: 0.9494, loss_cls: 3.7432, loss: 3.7432 2023-12-23 19:07:07,281 - pyskl - INFO - Epoch [19][1400/3405] lr: 2.408e-02, eta: 1 day, 8:30:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7169, top5_acc: 0.9419, loss_cls: 3.7850, loss: 3.7850 2023-12-23 19:07:32,519 - pyskl - INFO - Epoch [19][1500/3405] lr: 2.408e-02, eta: 1 day, 8:30:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9456, loss_cls: 3.7441, loss: 3.7441 2023-12-23 19:07:57,820 - pyskl - INFO - Epoch [19][1600/3405] lr: 2.408e-02, eta: 1 day, 8:29:46, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9531, loss_cls: 3.6746, loss: 3.6746 2023-12-23 19:08:23,125 - pyskl - INFO - Epoch [19][1700/3405] lr: 2.407e-02, eta: 1 day, 8:29:15, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7400, top5_acc: 0.9531, loss_cls: 3.7068, loss: 3.7068 2023-12-23 19:08:48,474 - pyskl - INFO - Epoch [19][1800/3405] lr: 2.407e-02, eta: 1 day, 8:28:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7212, top5_acc: 0.9400, loss_cls: 3.7980, loss: 3.7980 2023-12-23 19:09:13,694 - pyskl - INFO - Epoch [19][1900/3405] lr: 2.407e-02, eta: 1 day, 8:28:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7013, top5_acc: 0.9250, loss_cls: 3.9011, loss: 3.9011 2023-12-23 19:09:38,983 - pyskl - INFO - Epoch [19][2000/3405] lr: 2.406e-02, eta: 1 day, 8:27:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7144, top5_acc: 0.9369, loss_cls: 3.8294, loss: 3.8294 2023-12-23 19:10:04,150 - pyskl - INFO - Epoch [19][2100/3405] lr: 2.406e-02, eta: 1 day, 8:27:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7225, top5_acc: 0.9356, loss_cls: 3.7978, loss: 3.7978 2023-12-23 19:10:29,263 - pyskl - INFO - Epoch [19][2200/3405] lr: 2.406e-02, eta: 1 day, 8:26:32, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7269, top5_acc: 0.9400, loss_cls: 3.7802, loss: 3.7802 2023-12-23 19:10:54,351 - pyskl - INFO - Epoch [19][2300/3405] lr: 2.406e-02, eta: 1 day, 8:25:59, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7344, top5_acc: 0.9456, loss_cls: 3.7637, loss: 3.7637 2023-12-23 19:11:19,524 - pyskl - INFO - Epoch [19][2400/3405] lr: 2.405e-02, eta: 1 day, 8:25:26, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7212, top5_acc: 0.9419, loss_cls: 3.8039, loss: 3.8039 2023-12-23 19:11:44,613 - pyskl - INFO - Epoch [19][2500/3405] lr: 2.405e-02, eta: 1 day, 8:24:53, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7319, top5_acc: 0.9394, loss_cls: 3.7892, loss: 3.7892 2023-12-23 19:12:09,922 - pyskl - INFO - Epoch [19][2600/3405] lr: 2.405e-02, eta: 1 day, 8:24:21, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7125, top5_acc: 0.9494, loss_cls: 3.7888, loss: 3.7888 2023-12-23 19:12:35,255 - pyskl - INFO - Epoch [19][2700/3405] lr: 2.404e-02, eta: 1 day, 8:23:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7331, top5_acc: 0.9419, loss_cls: 3.7548, loss: 3.7548 2023-12-23 19:13:00,516 - pyskl - INFO - Epoch [19][2800/3405] lr: 2.404e-02, eta: 1 day, 8:23:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9481, loss_cls: 3.7508, loss: 3.7508 2023-12-23 19:13:25,741 - pyskl - INFO - Epoch [19][2900/3405] lr: 2.404e-02, eta: 1 day, 8:22:46, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7425, top5_acc: 0.9550, loss_cls: 3.7144, loss: 3.7144 2023-12-23 19:13:51,101 - pyskl - INFO - Epoch [19][3000/3405] lr: 2.404e-02, eta: 1 day, 8:22:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7169, top5_acc: 0.9406, loss_cls: 3.8044, loss: 3.8044 2023-12-23 19:14:16,375 - pyskl - INFO - Epoch [19][3100/3405] lr: 2.403e-02, eta: 1 day, 8:21:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9537, loss_cls: 3.7050, loss: 3.7050 2023-12-23 19:14:41,740 - pyskl - INFO - Epoch [19][3200/3405] lr: 2.403e-02, eta: 1 day, 8:21:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7119, top5_acc: 0.9425, loss_cls: 3.7977, loss: 3.7977 2023-12-23 19:15:06,913 - pyskl - INFO - Epoch [19][3300/3405] lr: 2.403e-02, eta: 1 day, 8:20:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7294, top5_acc: 0.9400, loss_cls: 3.7761, loss: 3.7761 2023-12-23 19:15:32,088 - pyskl - INFO - Epoch [19][3400/3405] lr: 2.402e-02, eta: 1 day, 8:20:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7125, top5_acc: 0.9369, loss_cls: 3.8113, loss: 3.8113 2023-12-23 19:15:34,040 - pyskl - INFO - Saving checkpoint at 19 epochs 2023-12-23 19:19:58,496 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:19:59,103 - pyskl - INFO - top1_acc 0.6889 top5_acc 0.9211 2023-12-23 19:19:59,129 - pyskl - INFO - Epoch(val) [19][3718] top1_acc: 0.6889, top5_acc: 0.9211 2023-12-23 19:20:53,245 - pyskl - INFO - Epoch [20][100/3405] lr: 2.402e-02, eta: 1 day, 8:22:43, time: 0.541, data_time: 0.284, memory: 5236, top1_acc: 0.7206, top5_acc: 0.9550, loss_cls: 3.7505, loss: 3.7505 2023-12-23 19:21:18,753 - pyskl - INFO - Epoch [20][200/3405] lr: 2.402e-02, eta: 1 day, 8:22:12, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7356, top5_acc: 0.9456, loss_cls: 3.7421, loss: 3.7421 2023-12-23 19:21:44,141 - pyskl - INFO - Epoch [20][300/3405] lr: 2.401e-02, eta: 1 day, 8:21:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9594, loss_cls: 3.6671, loss: 3.6671 2023-12-23 19:22:09,950 - pyskl - INFO - Epoch [20][400/3405] lr: 2.401e-02, eta: 1 day, 8:21:13, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7400, top5_acc: 0.9500, loss_cls: 3.7208, loss: 3.7208 2023-12-23 19:22:35,480 - pyskl - INFO - Epoch [20][500/3405] lr: 2.401e-02, eta: 1 day, 8:20:42, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9494, loss_cls: 3.7139, loss: 3.7139 2023-12-23 19:23:00,928 - pyskl - INFO - Epoch [20][600/3405] lr: 2.401e-02, eta: 1 day, 8:20:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7238, top5_acc: 0.9331, loss_cls: 3.8040, loss: 3.8040 2023-12-23 19:23:26,251 - pyskl - INFO - Epoch [20][700/3405] lr: 2.400e-02, eta: 1 day, 8:19:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7369, top5_acc: 0.9437, loss_cls: 3.7490, loss: 3.7490 2023-12-23 19:23:51,895 - pyskl - INFO - Epoch [20][800/3405] lr: 2.400e-02, eta: 1 day, 8:19:11, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7481, top5_acc: 0.9437, loss_cls: 3.7085, loss: 3.7085 2023-12-23 19:24:17,206 - pyskl - INFO - Epoch [20][900/3405] lr: 2.400e-02, eta: 1 day, 8:18:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9631, loss_cls: 3.6895, loss: 3.6895 2023-12-23 19:24:42,615 - pyskl - INFO - Epoch [20][1000/3405] lr: 2.399e-02, eta: 1 day, 8:18:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7119, top5_acc: 0.9431, loss_cls: 3.8127, loss: 3.8127 2023-12-23 19:25:08,234 - pyskl - INFO - Epoch [20][1100/3405] lr: 2.399e-02, eta: 1 day, 8:17:38, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7312, top5_acc: 0.9500, loss_cls: 3.7607, loss: 3.7607 2023-12-23 19:25:33,878 - pyskl - INFO - Epoch [20][1200/3405] lr: 2.399e-02, eta: 1 day, 8:17:09, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7469, top5_acc: 0.9431, loss_cls: 3.7067, loss: 3.7067 2023-12-23 19:25:59,023 - pyskl - INFO - Epoch [20][1300/3405] lr: 2.398e-02, eta: 1 day, 8:16:36, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9444, loss_cls: 3.7554, loss: 3.7554 2023-12-23 19:26:24,410 - pyskl - INFO - Epoch [20][1400/3405] lr: 2.398e-02, eta: 1 day, 8:16:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7444, top5_acc: 0.9450, loss_cls: 3.7308, loss: 3.7308 2023-12-23 19:26:49,853 - pyskl - INFO - Epoch [20][1500/3405] lr: 2.398e-02, eta: 1 day, 8:15:34, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7250, top5_acc: 0.9444, loss_cls: 3.7626, loss: 3.7626 2023-12-23 19:27:15,560 - pyskl - INFO - Epoch [20][1600/3405] lr: 2.398e-02, eta: 1 day, 8:15:05, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7188, top5_acc: 0.9394, loss_cls: 3.8055, loss: 3.8055 2023-12-23 19:27:40,746 - pyskl - INFO - Epoch [20][1700/3405] lr: 2.397e-02, eta: 1 day, 8:14:33, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9494, loss_cls: 3.7215, loss: 3.7215 2023-12-23 19:28:05,983 - pyskl - INFO - Epoch [20][1800/3405] lr: 2.397e-02, eta: 1 day, 8:14:01, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7163, top5_acc: 0.9331, loss_cls: 3.8028, loss: 3.8028 2023-12-23 19:28:31,533 - pyskl - INFO - Epoch [20][1900/3405] lr: 2.397e-02, eta: 1 day, 8:13:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7288, top5_acc: 0.9487, loss_cls: 3.7342, loss: 3.7342 2023-12-23 19:28:56,753 - pyskl - INFO - Epoch [20][2000/3405] lr: 2.396e-02, eta: 1 day, 8:12:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7381, top5_acc: 0.9494, loss_cls: 3.7591, loss: 3.7591 2023-12-23 19:29:22,100 - pyskl - INFO - Epoch [20][2100/3405] lr: 2.396e-02, eta: 1 day, 8:12:28, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7450, top5_acc: 0.9469, loss_cls: 3.7273, loss: 3.7273 2023-12-23 19:29:47,358 - pyskl - INFO - Epoch [20][2200/3405] lr: 2.396e-02, eta: 1 day, 8:11:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7388, top5_acc: 0.9431, loss_cls: 3.7575, loss: 3.7575 2023-12-23 19:30:12,612 - pyskl - INFO - Epoch [20][2300/3405] lr: 2.395e-02, eta: 1 day, 8:11:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7412, top5_acc: 0.9550, loss_cls: 3.7350, loss: 3.7350 2023-12-23 19:30:37,886 - pyskl - INFO - Epoch [20][2400/3405] lr: 2.395e-02, eta: 1 day, 8:10:52, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9419, loss_cls: 3.7241, loss: 3.7241 2023-12-23 19:31:03,310 - pyskl - INFO - Epoch [20][2500/3405] lr: 2.395e-02, eta: 1 day, 8:10:22, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7262, top5_acc: 0.9406, loss_cls: 3.7683, loss: 3.7683 2023-12-23 19:31:28,919 - pyskl - INFO - Epoch [20][2600/3405] lr: 2.394e-02, eta: 1 day, 8:09:52, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7275, top5_acc: 0.9406, loss_cls: 3.7808, loss: 3.7808 2023-12-23 19:31:54,182 - pyskl - INFO - Epoch [20][2700/3405] lr: 2.394e-02, eta: 1 day, 8:09:20, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.6987, top5_acc: 0.9431, loss_cls: 3.8298, loss: 3.8298 2023-12-23 19:32:19,221 - pyskl - INFO - Epoch [20][2800/3405] lr: 2.394e-02, eta: 1 day, 8:08:47, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7219, top5_acc: 0.9387, loss_cls: 3.7921, loss: 3.7921 2023-12-23 19:32:44,734 - pyskl - INFO - Epoch [20][2900/3405] lr: 2.394e-02, eta: 1 day, 8:08:17, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7338, top5_acc: 0.9450, loss_cls: 3.7715, loss: 3.7715 2023-12-23 19:33:10,283 - pyskl - INFO - Epoch [20][3000/3405] lr: 2.393e-02, eta: 1 day, 8:07:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7300, top5_acc: 0.9481, loss_cls: 3.7392, loss: 3.7392 2023-12-23 19:33:35,574 - pyskl - INFO - Epoch [20][3100/3405] lr: 2.393e-02, eta: 1 day, 8:07:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7306, top5_acc: 0.9406, loss_cls: 3.7651, loss: 3.7651 2023-12-23 19:34:00,667 - pyskl - INFO - Epoch [20][3200/3405] lr: 2.393e-02, eta: 1 day, 8:06:43, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7281, top5_acc: 0.9425, loss_cls: 3.7935, loss: 3.7935 2023-12-23 19:34:25,953 - pyskl - INFO - Epoch [20][3300/3405] lr: 2.392e-02, eta: 1 day, 8:06:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7350, top5_acc: 0.9444, loss_cls: 3.7771, loss: 3.7771 2023-12-23 19:34:51,200 - pyskl - INFO - Epoch [20][3400/3405] lr: 2.392e-02, eta: 1 day, 8:05:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7531, top5_acc: 0.9475, loss_cls: 3.7085, loss: 3.7085 2023-12-23 19:34:53,150 - pyskl - INFO - Saving checkpoint at 20 epochs 2023-12-23 19:39:16,394 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:39:17,004 - pyskl - INFO - top1_acc 0.7175 top5_acc 0.9316 2023-12-23 19:39:17,009 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_16.pth was removed 2023-12-23 19:39:17,216 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. 2023-12-23 19:39:17,218 - pyskl - INFO - Best top1_acc is 0.7175 at 20 epoch. 2023-12-23 19:39:17,243 - pyskl - INFO - Epoch(val) [20][3718] top1_acc: 0.7175, top5_acc: 0.9316 2023-12-23 19:40:10,813 - pyskl - INFO - Epoch [21][100/3405] lr: 2.392e-02, eta: 1 day, 8:08:03, time: 0.536, data_time: 0.279, memory: 5236, top1_acc: 0.7412, top5_acc: 0.9431, loss_cls: 3.7315, loss: 3.7315 2023-12-23 19:40:36,557 - pyskl - INFO - Epoch [21][200/3405] lr: 2.391e-02, eta: 1 day, 8:07:34, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7350, top5_acc: 0.9531, loss_cls: 3.7246, loss: 3.7246 2023-12-23 19:41:02,276 - pyskl - INFO - Epoch [21][300/3405] lr: 2.391e-02, eta: 1 day, 8:07:05, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7444, top5_acc: 0.9569, loss_cls: 3.6926, loss: 3.6926 2023-12-23 19:41:27,942 - pyskl - INFO - Epoch [21][400/3405] lr: 2.391e-02, eta: 1 day, 8:06:36, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7262, top5_acc: 0.9413, loss_cls: 3.7658, loss: 3.7658 2023-12-23 19:41:53,285 - pyskl - INFO - Epoch [21][500/3405] lr: 2.390e-02, eta: 1 day, 8:06:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7400, top5_acc: 0.9463, loss_cls: 3.7235, loss: 3.7235 2023-12-23 19:42:18,310 - pyskl - INFO - Epoch [21][600/3405] lr: 2.390e-02, eta: 1 day, 8:05:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7306, top5_acc: 0.9406, loss_cls: 3.7689, loss: 3.7689 2023-12-23 19:42:43,333 - pyskl - INFO - Epoch [21][700/3405] lr: 2.390e-02, eta: 1 day, 8:04:58, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7288, top5_acc: 0.9381, loss_cls: 3.7858, loss: 3.7858 2023-12-23 19:43:08,367 - pyskl - INFO - Epoch [21][800/3405] lr: 2.389e-02, eta: 1 day, 8:04:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7388, top5_acc: 0.9444, loss_cls: 3.7455, loss: 3.7455 2023-12-23 19:43:33,443 - pyskl - INFO - Epoch [21][900/3405] lr: 2.389e-02, eta: 1 day, 8:03:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7125, top5_acc: 0.9375, loss_cls: 3.8160, loss: 3.8160 2023-12-23 19:43:58,519 - pyskl - INFO - Epoch [21][1000/3405] lr: 2.389e-02, eta: 1 day, 8:03:19, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7250, top5_acc: 0.9469, loss_cls: 3.7772, loss: 3.7772 2023-12-23 19:44:24,415 - pyskl - INFO - Epoch [21][1100/3405] lr: 2.388e-02, eta: 1 day, 8:02:51, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9500, loss_cls: 3.6697, loss: 3.6697 2023-12-23 19:44:50,104 - pyskl - INFO - Epoch [21][1200/3405] lr: 2.388e-02, eta: 1 day, 8:02:22, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7375, top5_acc: 0.9425, loss_cls: 3.7404, loss: 3.7404 2023-12-23 19:45:15,837 - pyskl - INFO - Epoch [21][1300/3405] lr: 2.388e-02, eta: 1 day, 8:01:54, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7250, top5_acc: 0.9463, loss_cls: 3.7883, loss: 3.7883 2023-12-23 19:45:41,170 - pyskl - INFO - Epoch [21][1400/3405] lr: 2.388e-02, eta: 1 day, 8:01:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7450, top5_acc: 0.9569, loss_cls: 3.6981, loss: 3.6981 2023-12-23 19:46:06,148 - pyskl - INFO - Epoch [21][1500/3405] lr: 2.387e-02, eta: 1 day, 8:00:49, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7281, top5_acc: 0.9419, loss_cls: 3.7941, loss: 3.7941 2023-12-23 19:46:31,080 - pyskl - INFO - Epoch [21][1600/3405] lr: 2.387e-02, eta: 1 day, 8:00:15, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7381, top5_acc: 0.9556, loss_cls: 3.7166, loss: 3.7166 2023-12-23 19:46:56,037 - pyskl - INFO - Epoch [21][1700/3405] lr: 2.387e-02, eta: 1 day, 7:59:42, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7469, top5_acc: 0.9394, loss_cls: 3.7257, loss: 3.7257 2023-12-23 19:47:20,965 - pyskl - INFO - Epoch [21][1800/3405] lr: 2.386e-02, eta: 1 day, 7:59:08, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9537, loss_cls: 3.6875, loss: 3.6875 2023-12-23 19:47:45,886 - pyskl - INFO - Epoch [21][1900/3405] lr: 2.386e-02, eta: 1 day, 7:58:35, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7075, top5_acc: 0.9513, loss_cls: 3.8170, loss: 3.8170 2023-12-23 19:48:10,821 - pyskl - INFO - Epoch [21][2000/3405] lr: 2.386e-02, eta: 1 day, 7:58:01, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7331, top5_acc: 0.9394, loss_cls: 3.7741, loss: 3.7741 2023-12-23 19:48:35,756 - pyskl - INFO - Epoch [21][2100/3405] lr: 2.385e-02, eta: 1 day, 7:57:28, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9556, loss_cls: 3.7061, loss: 3.7061 2023-12-23 19:49:00,701 - pyskl - INFO - Epoch [21][2200/3405] lr: 2.385e-02, eta: 1 day, 7:56:54, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7419, top5_acc: 0.9475, loss_cls: 3.7182, loss: 3.7182 2023-12-23 19:49:25,651 - pyskl - INFO - Epoch [21][2300/3405] lr: 2.385e-02, eta: 1 day, 7:56:21, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7344, top5_acc: 0.9456, loss_cls: 3.7459, loss: 3.7459 2023-12-23 19:49:50,604 - pyskl - INFO - Epoch [21][2400/3405] lr: 2.384e-02, eta: 1 day, 7:55:47, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7131, top5_acc: 0.9387, loss_cls: 3.7803, loss: 3.7803 2023-12-23 19:50:15,582 - pyskl - INFO - Epoch [21][2500/3405] lr: 2.384e-02, eta: 1 day, 7:55:14, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9537, loss_cls: 3.6730, loss: 3.6730 2023-12-23 19:50:40,574 - pyskl - INFO - Epoch [21][2600/3405] lr: 2.384e-02, eta: 1 day, 7:54:41, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7275, top5_acc: 0.9500, loss_cls: 3.7714, loss: 3.7714 2023-12-23 19:51:05,537 - pyskl - INFO - Epoch [21][2700/3405] lr: 2.383e-02, eta: 1 day, 7:54:08, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7419, top5_acc: 0.9556, loss_cls: 3.7314, loss: 3.7314 2023-12-23 19:51:30,506 - pyskl - INFO - Epoch [21][2800/3405] lr: 2.383e-02, eta: 1 day, 7:53:35, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7262, top5_acc: 0.9369, loss_cls: 3.8054, loss: 3.8054 2023-12-23 19:51:55,480 - pyskl - INFO - Epoch [21][2900/3405] lr: 2.383e-02, eta: 1 day, 7:53:02, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7344, top5_acc: 0.9419, loss_cls: 3.7747, loss: 3.7747 2023-12-23 19:52:20,487 - pyskl - INFO - Epoch [21][3000/3405] lr: 2.382e-02, eta: 1 day, 7:52:29, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7288, top5_acc: 0.9469, loss_cls: 3.7511, loss: 3.7511 2023-12-23 19:52:45,510 - pyskl - INFO - Epoch [21][3100/3405] lr: 2.382e-02, eta: 1 day, 7:51:56, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7238, top5_acc: 0.9456, loss_cls: 3.7596, loss: 3.7596 2023-12-23 19:53:10,521 - pyskl - INFO - Epoch [21][3200/3405] lr: 2.382e-02, eta: 1 day, 7:51:23, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9500, loss_cls: 3.7053, loss: 3.7053 2023-12-23 19:53:35,515 - pyskl - INFO - Epoch [21][3300/3405] lr: 2.381e-02, eta: 1 day, 7:50:50, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7344, top5_acc: 0.9375, loss_cls: 3.7704, loss: 3.7704 2023-12-23 19:54:00,535 - pyskl - INFO - Epoch [21][3400/3405] lr: 2.381e-02, eta: 1 day, 7:50:18, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7312, top5_acc: 0.9519, loss_cls: 3.7642, loss: 3.7642 2023-12-23 19:54:02,436 - pyskl - INFO - Saving checkpoint at 21 epochs 2023-12-23 19:58:25,865 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:58:26,492 - pyskl - INFO - top1_acc 0.6829 top5_acc 0.9224 2023-12-23 19:58:26,518 - pyskl - INFO - Epoch(val) [21][3718] top1_acc: 0.6829, top5_acc: 0.9224 2023-12-23 19:59:19,481 - pyskl - INFO - Epoch [22][100/3405] lr: 2.381e-02, eta: 1 day, 7:52:27, time: 0.530, data_time: 0.275, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9469, loss_cls: 3.7559, loss: 3.7559 2023-12-23 19:59:44,931 - pyskl - INFO - Epoch [22][200/3405] lr: 2.380e-02, eta: 1 day, 7:51:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9469, loss_cls: 3.6818, loss: 3.6818 2023-12-23 20:00:10,605 - pyskl - INFO - Epoch [22][300/3405] lr: 2.380e-02, eta: 1 day, 7:51:28, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7306, top5_acc: 0.9463, loss_cls: 3.7401, loss: 3.7401 2023-12-23 20:00:36,158 - pyskl - INFO - Epoch [22][400/3405] lr: 2.380e-02, eta: 1 day, 7:50:58, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9563, loss_cls: 3.6605, loss: 3.6605 2023-12-23 20:01:01,879 - pyskl - INFO - Epoch [22][500/3405] lr: 2.379e-02, eta: 1 day, 7:50:29, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9525, loss_cls: 3.7046, loss: 3.7046 2023-12-23 20:01:27,347 - pyskl - INFO - Epoch [22][600/3405] lr: 2.379e-02, eta: 1 day, 7:49:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7512, top5_acc: 0.9525, loss_cls: 3.6907, loss: 3.6907 2023-12-23 20:01:52,822 - pyskl - INFO - Epoch [22][700/3405] lr: 2.379e-02, eta: 1 day, 7:49:29, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9363, loss_cls: 3.7558, loss: 3.7558 2023-12-23 20:02:18,317 - pyskl - INFO - Epoch [22][800/3405] lr: 2.378e-02, eta: 1 day, 7:48:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9600, loss_cls: 3.6370, loss: 3.6370 2023-12-23 20:02:43,748 - pyskl - INFO - Epoch [22][900/3405] lr: 2.378e-02, eta: 1 day, 7:48:29, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7325, top5_acc: 0.9550, loss_cls: 3.7030, loss: 3.7030 2023-12-23 20:03:09,406 - pyskl - INFO - Epoch [22][1000/3405] lr: 2.378e-02, eta: 1 day, 7:48:00, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7344, top5_acc: 0.9463, loss_cls: 3.7552, loss: 3.7552 2023-12-23 20:03:34,860 - pyskl - INFO - Epoch [22][1100/3405] lr: 2.377e-02, eta: 1 day, 7:47:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9506, loss_cls: 3.6742, loss: 3.6742 2023-12-23 20:04:00,386 - pyskl - INFO - Epoch [22][1200/3405] lr: 2.377e-02, eta: 1 day, 7:47:00, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7488, top5_acc: 0.9506, loss_cls: 3.7026, loss: 3.7026 2023-12-23 20:04:25,842 - pyskl - INFO - Epoch [22][1300/3405] lr: 2.377e-02, eta: 1 day, 7:46:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7269, top5_acc: 0.9406, loss_cls: 3.7708, loss: 3.7708 2023-12-23 20:04:51,379 - pyskl - INFO - Epoch [22][1400/3405] lr: 2.376e-02, eta: 1 day, 7:46:00, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9506, loss_cls: 3.7143, loss: 3.7143 2023-12-23 20:05:16,517 - pyskl - INFO - Epoch [22][1500/3405] lr: 2.376e-02, eta: 1 day, 7:45:28, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9500, loss_cls: 3.7348, loss: 3.7348 2023-12-23 20:05:41,599 - pyskl - INFO - Epoch [22][1600/3405] lr: 2.376e-02, eta: 1 day, 7:44:56, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9581, loss_cls: 3.6790, loss: 3.6790 2023-12-23 20:06:06,891 - pyskl - INFO - Epoch [22][1700/3405] lr: 2.375e-02, eta: 1 day, 7:44:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7344, top5_acc: 0.9494, loss_cls: 3.7474, loss: 3.7474 2023-12-23 20:06:32,229 - pyskl - INFO - Epoch [22][1800/3405] lr: 2.375e-02, eta: 1 day, 7:43:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7450, top5_acc: 0.9513, loss_cls: 3.7234, loss: 3.7234 2023-12-23 20:06:57,220 - pyskl - INFO - Epoch [22][1900/3405] lr: 2.375e-02, eta: 1 day, 7:43:21, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7131, top5_acc: 0.9519, loss_cls: 3.7959, loss: 3.7959 2023-12-23 20:07:22,269 - pyskl - INFO - Epoch [22][2000/3405] lr: 2.374e-02, eta: 1 day, 7:42:49, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7319, top5_acc: 0.9500, loss_cls: 3.7503, loss: 3.7503 2023-12-23 20:07:47,561 - pyskl - INFO - Epoch [22][2100/3405] lr: 2.374e-02, eta: 1 day, 7:42:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7381, top5_acc: 0.9431, loss_cls: 3.7999, loss: 3.7999 2023-12-23 20:08:12,709 - pyskl - INFO - Epoch [22][2200/3405] lr: 2.374e-02, eta: 1 day, 7:41:46, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7344, top5_acc: 0.9406, loss_cls: 3.7698, loss: 3.7698 2023-12-23 20:08:38,273 - pyskl - INFO - Epoch [22][2300/3405] lr: 2.373e-02, eta: 1 day, 7:41:17, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7256, top5_acc: 0.9419, loss_cls: 3.7875, loss: 3.7875 2023-12-23 20:09:03,396 - pyskl - INFO - Epoch [22][2400/3405] lr: 2.373e-02, eta: 1 day, 7:40:45, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7244, top5_acc: 0.9394, loss_cls: 3.7826, loss: 3.7826 2023-12-23 20:09:28,619 - pyskl - INFO - Epoch [22][2500/3405] lr: 2.373e-02, eta: 1 day, 7:40:14, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7137, top5_acc: 0.9431, loss_cls: 3.8018, loss: 3.8018 2023-12-23 20:09:53,838 - pyskl - INFO - Epoch [22][2600/3405] lr: 2.372e-02, eta: 1 day, 7:39:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7338, top5_acc: 0.9437, loss_cls: 3.7351, loss: 3.7351 2023-12-23 20:10:18,996 - pyskl - INFO - Epoch [22][2700/3405] lr: 2.372e-02, eta: 1 day, 7:39:11, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9456, loss_cls: 3.7477, loss: 3.7477 2023-12-23 20:10:44,400 - pyskl - INFO - Epoch [22][2800/3405] lr: 2.372e-02, eta: 1 day, 7:38:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7306, top5_acc: 0.9525, loss_cls: 3.7308, loss: 3.7308 2023-12-23 20:11:09,663 - pyskl - INFO - Epoch [22][2900/3405] lr: 2.371e-02, eta: 1 day, 7:38:09, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7338, top5_acc: 0.9400, loss_cls: 3.7899, loss: 3.7899 2023-12-23 20:11:34,902 - pyskl - INFO - Epoch [22][3000/3405] lr: 2.371e-02, eta: 1 day, 7:37:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7419, top5_acc: 0.9456, loss_cls: 3.7691, loss: 3.7691 2023-12-23 20:11:59,844 - pyskl - INFO - Epoch [22][3100/3405] lr: 2.371e-02, eta: 1 day, 7:37:05, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9437, loss_cls: 3.6972, loss: 3.6972 2023-12-23 20:12:25,111 - pyskl - INFO - Epoch [22][3200/3405] lr: 2.370e-02, eta: 1 day, 7:36:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7375, top5_acc: 0.9450, loss_cls: 3.7483, loss: 3.7483 2023-12-23 20:12:50,224 - pyskl - INFO - Epoch [22][3300/3405] lr: 2.370e-02, eta: 1 day, 7:36:03, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7450, top5_acc: 0.9513, loss_cls: 3.7093, loss: 3.7093 2023-12-23 20:13:15,259 - pyskl - INFO - Epoch [22][3400/3405] lr: 2.370e-02, eta: 1 day, 7:35:30, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7394, top5_acc: 0.9487, loss_cls: 3.7639, loss: 3.7639 2023-12-23 20:13:17,185 - pyskl - INFO - Saving checkpoint at 22 epochs 2023-12-23 20:17:40,901 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:17:41,505 - pyskl - INFO - top1_acc 0.7281 top5_acc 0.9362 2023-12-23 20:17:41,514 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_20.pth was removed 2023-12-23 20:17:41,727 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. 2023-12-23 20:17:41,729 - pyskl - INFO - Best top1_acc is 0.7281 at 22 epoch. 2023-12-23 20:17:41,754 - pyskl - INFO - Epoch(val) [22][3718] top1_acc: 0.7281, top5_acc: 0.9362 2023-12-23 20:18:34,438 - pyskl - INFO - Epoch [23][100/3405] lr: 2.369e-02, eta: 1 day, 7:37:30, time: 0.527, data_time: 0.272, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9519, loss_cls: 3.6790, loss: 3.6790 2023-12-23 20:18:59,898 - pyskl - INFO - Epoch [23][200/3405] lr: 2.369e-02, eta: 1 day, 7:37:00, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9563, loss_cls: 3.6830, loss: 3.6830 2023-12-23 20:19:25,537 - pyskl - INFO - Epoch [23][300/3405] lr: 2.369e-02, eta: 1 day, 7:36:31, time: 0.256, data_time: 0.001, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9556, loss_cls: 3.7127, loss: 3.7127 2023-12-23 20:19:51,069 - pyskl - INFO - Epoch [23][400/3405] lr: 2.368e-02, eta: 1 day, 7:36:01, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7344, top5_acc: 0.9550, loss_cls: 3.7151, loss: 3.7151 2023-12-23 20:20:16,539 - pyskl - INFO - Epoch [23][500/3405] lr: 2.368e-02, eta: 1 day, 7:35:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9469, loss_cls: 3.7344, loss: 3.7344 2023-12-23 20:20:42,193 - pyskl - INFO - Epoch [23][600/3405] lr: 2.368e-02, eta: 1 day, 7:35:02, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9519, loss_cls: 3.6795, loss: 3.6795 2023-12-23 20:21:07,537 - pyskl - INFO - Epoch [23][700/3405] lr: 2.367e-02, eta: 1 day, 7:34:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9537, loss_cls: 3.7160, loss: 3.7160 2023-12-23 20:21:33,119 - pyskl - INFO - Epoch [23][800/3405] lr: 2.367e-02, eta: 1 day, 7:34:03, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7294, top5_acc: 0.9425, loss_cls: 3.7479, loss: 3.7479 2023-12-23 20:21:58,468 - pyskl - INFO - Epoch [23][900/3405] lr: 2.367e-02, eta: 1 day, 7:33:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7425, top5_acc: 0.9463, loss_cls: 3.6940, loss: 3.6940 2023-12-23 20:22:23,960 - pyskl - INFO - Epoch [23][1000/3405] lr: 2.366e-02, eta: 1 day, 7:33:02, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7538, top5_acc: 0.9456, loss_cls: 3.7179, loss: 3.7179 2023-12-23 20:22:49,337 - pyskl - INFO - Epoch [23][1100/3405] lr: 2.366e-02, eta: 1 day, 7:32:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7425, top5_acc: 0.9419, loss_cls: 3.7451, loss: 3.7451 2023-12-23 20:23:14,809 - pyskl - INFO - Epoch [23][1200/3405] lr: 2.366e-02, eta: 1 day, 7:32:02, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7394, top5_acc: 0.9494, loss_cls: 3.7245, loss: 3.7245 2023-12-23 20:23:40,340 - pyskl - INFO - Epoch [23][1300/3405] lr: 2.365e-02, eta: 1 day, 7:31:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9587, loss_cls: 3.6847, loss: 3.6847 2023-12-23 20:24:05,668 - pyskl - INFO - Epoch [23][1400/3405] lr: 2.365e-02, eta: 1 day, 7:31:02, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9463, loss_cls: 3.7100, loss: 3.7100 2023-12-23 20:24:30,803 - pyskl - INFO - Epoch [23][1500/3405] lr: 2.364e-02, eta: 1 day, 7:30:30, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7512, top5_acc: 0.9400, loss_cls: 3.7212, loss: 3.7212 2023-12-23 20:24:56,206 - pyskl - INFO - Epoch [23][1600/3405] lr: 2.364e-02, eta: 1 day, 7:30:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7394, top5_acc: 0.9475, loss_cls: 3.6937, loss: 3.6937 2023-12-23 20:25:21,559 - pyskl - INFO - Epoch [23][1700/3405] lr: 2.364e-02, eta: 1 day, 7:29:30, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7419, top5_acc: 0.9544, loss_cls: 3.7232, loss: 3.7232 2023-12-23 20:25:46,858 - pyskl - INFO - Epoch [23][1800/3405] lr: 2.363e-02, eta: 1 day, 7:28:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9463, loss_cls: 3.7214, loss: 3.7214 2023-12-23 20:26:12,354 - pyskl - INFO - Epoch [23][1900/3405] lr: 2.363e-02, eta: 1 day, 7:28:29, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7381, top5_acc: 0.9544, loss_cls: 3.7292, loss: 3.7292 2023-12-23 20:26:37,867 - pyskl - INFO - Epoch [23][2000/3405] lr: 2.363e-02, eta: 1 day, 7:28:00, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7294, top5_acc: 0.9487, loss_cls: 3.7585, loss: 3.7585 2023-12-23 20:27:03,388 - pyskl - INFO - Epoch [23][2100/3405] lr: 2.362e-02, eta: 1 day, 7:27:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7494, top5_acc: 0.9531, loss_cls: 3.7019, loss: 3.7019 2023-12-23 20:27:28,745 - pyskl - INFO - Epoch [23][2200/3405] lr: 2.362e-02, eta: 1 day, 7:27:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7362, top5_acc: 0.9444, loss_cls: 3.7235, loss: 3.7235 2023-12-23 20:27:54,175 - pyskl - INFO - Epoch [23][2300/3405] lr: 2.362e-02, eta: 1 day, 7:26:30, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7288, top5_acc: 0.9537, loss_cls: 3.7475, loss: 3.7475 2023-12-23 20:28:19,392 - pyskl - INFO - Epoch [23][2400/3405] lr: 2.361e-02, eta: 1 day, 7:25:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7469, top5_acc: 0.9456, loss_cls: 3.7332, loss: 3.7332 2023-12-23 20:28:44,644 - pyskl - INFO - Epoch [23][2500/3405] lr: 2.361e-02, eta: 1 day, 7:25:28, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7175, top5_acc: 0.9431, loss_cls: 3.8361, loss: 3.8361 2023-12-23 20:29:09,959 - pyskl - INFO - Epoch [23][2600/3405] lr: 2.361e-02, eta: 1 day, 7:24:58, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7450, top5_acc: 0.9506, loss_cls: 3.7139, loss: 3.7139 2023-12-23 20:29:35,269 - pyskl - INFO - Epoch [23][2700/3405] lr: 2.360e-02, eta: 1 day, 7:24:27, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7125, top5_acc: 0.9369, loss_cls: 3.8114, loss: 3.8114 2023-12-23 20:30:00,460 - pyskl - INFO - Epoch [23][2800/3405] lr: 2.360e-02, eta: 1 day, 7:23:56, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7481, top5_acc: 0.9425, loss_cls: 3.7175, loss: 3.7175 2023-12-23 20:30:25,712 - pyskl - INFO - Epoch [23][2900/3405] lr: 2.360e-02, eta: 1 day, 7:23:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9481, loss_cls: 3.7060, loss: 3.7060 2023-12-23 20:30:51,161 - pyskl - INFO - Epoch [23][3000/3405] lr: 2.359e-02, eta: 1 day, 7:22:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7444, top5_acc: 0.9487, loss_cls: 3.7143, loss: 3.7143 2023-12-23 20:31:16,516 - pyskl - INFO - Epoch [23][3100/3405] lr: 2.359e-02, eta: 1 day, 7:22:25, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9587, loss_cls: 3.6821, loss: 3.6821 2023-12-23 20:31:41,665 - pyskl - INFO - Epoch [23][3200/3405] lr: 2.358e-02, eta: 1 day, 7:21:54, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7312, top5_acc: 0.9381, loss_cls: 3.7959, loss: 3.7959 2023-12-23 20:32:06,614 - pyskl - INFO - Epoch [23][3300/3405] lr: 2.358e-02, eta: 1 day, 7:21:21, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7281, top5_acc: 0.9450, loss_cls: 3.7577, loss: 3.7577 2023-12-23 20:32:31,561 - pyskl - INFO - Epoch [23][3400/3405] lr: 2.358e-02, eta: 1 day, 7:20:49, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7312, top5_acc: 0.9425, loss_cls: 3.7572, loss: 3.7572 2023-12-23 20:32:33,423 - pyskl - INFO - Saving checkpoint at 23 epochs 2023-12-23 20:36:57,237 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:36:57,843 - pyskl - INFO - top1_acc 0.7367 top5_acc 0.9422 2023-12-23 20:36:57,847 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_22.pth was removed 2023-12-23 20:36:58,055 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. 2023-12-23 20:36:58,057 - pyskl - INFO - Best top1_acc is 0.7367 at 23 epoch. 2023-12-23 20:36:58,083 - pyskl - INFO - Epoch(val) [23][3718] top1_acc: 0.7367, top5_acc: 0.9422 2023-12-23 20:37:50,745 - pyskl - INFO - Epoch [24][100/3405] lr: 2.357e-02, eta: 1 day, 7:22:41, time: 0.527, data_time: 0.273, memory: 5236, top1_acc: 0.7394, top5_acc: 0.9550, loss_cls: 3.7281, loss: 3.7281 2023-12-23 20:38:16,168 - pyskl - INFO - Epoch [24][200/3405] lr: 2.357e-02, eta: 1 day, 7:22:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9563, loss_cls: 3.6415, loss: 3.6415 2023-12-23 20:38:41,845 - pyskl - INFO - Epoch [24][300/3405] lr: 2.357e-02, eta: 1 day, 7:21:42, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9456, loss_cls: 3.7389, loss: 3.7389 2023-12-23 20:39:07,493 - pyskl - INFO - Epoch [24][400/3405] lr: 2.356e-02, eta: 1 day, 7:21:13, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9513, loss_cls: 3.7162, loss: 3.7162 2023-12-23 20:39:33,284 - pyskl - INFO - Epoch [24][500/3405] lr: 2.356e-02, eta: 1 day, 7:20:45, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9525, loss_cls: 3.7199, loss: 3.7199 2023-12-23 20:39:58,859 - pyskl - INFO - Epoch [24][600/3405] lr: 2.356e-02, eta: 1 day, 7:20:16, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9581, loss_cls: 3.6741, loss: 3.6741 2023-12-23 20:40:24,241 - pyskl - INFO - Epoch [24][700/3405] lr: 2.355e-02, eta: 1 day, 7:19:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9563, loss_cls: 3.7037, loss: 3.7037 2023-12-23 20:40:49,858 - pyskl - INFO - Epoch [24][800/3405] lr: 2.355e-02, eta: 1 day, 7:19:17, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7538, top5_acc: 0.9375, loss_cls: 3.7352, loss: 3.7352 2023-12-23 20:41:15,323 - pyskl - INFO - Epoch [24][900/3405] lr: 2.355e-02, eta: 1 day, 7:18:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9500, loss_cls: 3.7043, loss: 3.7043 2023-12-23 20:41:40,741 - pyskl - INFO - Epoch [24][1000/3405] lr: 2.354e-02, eta: 1 day, 7:18:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7444, top5_acc: 0.9513, loss_cls: 3.7050, loss: 3.7050 2023-12-23 20:42:06,337 - pyskl - INFO - Epoch [24][1100/3405] lr: 2.354e-02, eta: 1 day, 7:17:48, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7362, top5_acc: 0.9413, loss_cls: 3.7494, loss: 3.7494 2023-12-23 20:42:31,997 - pyskl - INFO - Epoch [24][1200/3405] lr: 2.353e-02, eta: 1 day, 7:17:20, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7194, top5_acc: 0.9450, loss_cls: 3.7546, loss: 3.7546 2023-12-23 20:42:57,385 - pyskl - INFO - Epoch [24][1300/3405] lr: 2.353e-02, eta: 1 day, 7:16:50, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7388, top5_acc: 0.9363, loss_cls: 3.7710, loss: 3.7710 2023-12-23 20:43:22,885 - pyskl - INFO - Epoch [24][1400/3405] lr: 2.353e-02, eta: 1 day, 7:16:20, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9463, loss_cls: 3.7021, loss: 3.7021 2023-12-23 20:43:48,278 - pyskl - INFO - Epoch [24][1500/3405] lr: 2.352e-02, eta: 1 day, 7:15:50, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7350, top5_acc: 0.9481, loss_cls: 3.7535, loss: 3.7535 2023-12-23 20:44:13,747 - pyskl - INFO - Epoch [24][1600/3405] lr: 2.352e-02, eta: 1 day, 7:15:20, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9600, loss_cls: 3.6717, loss: 3.6717 2023-12-23 20:44:39,023 - pyskl - INFO - Epoch [24][1700/3405] lr: 2.352e-02, eta: 1 day, 7:14:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9594, loss_cls: 3.6754, loss: 3.6754 2023-12-23 20:45:04,235 - pyskl - INFO - Epoch [24][1800/3405] lr: 2.351e-02, eta: 1 day, 7:14:19, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7350, top5_acc: 0.9400, loss_cls: 3.7882, loss: 3.7882 2023-12-23 20:45:29,523 - pyskl - INFO - Epoch [24][1900/3405] lr: 2.351e-02, eta: 1 day, 7:13:48, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9475, loss_cls: 3.6957, loss: 3.6957 2023-12-23 20:45:54,972 - pyskl - INFO - Epoch [24][2000/3405] lr: 2.351e-02, eta: 1 day, 7:13:19, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9406, loss_cls: 3.7073, loss: 3.7073 2023-12-23 20:46:20,503 - pyskl - INFO - Epoch [24][2100/3405] lr: 2.350e-02, eta: 1 day, 7:12:49, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7419, top5_acc: 0.9563, loss_cls: 3.6865, loss: 3.6865 2023-12-23 20:46:45,601 - pyskl - INFO - Epoch [24][2200/3405] lr: 2.350e-02, eta: 1 day, 7:12:18, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7338, top5_acc: 0.9500, loss_cls: 3.7261, loss: 3.7261 2023-12-23 20:47:10,795 - pyskl - INFO - Epoch [24][2300/3405] lr: 2.349e-02, eta: 1 day, 7:11:47, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9419, loss_cls: 3.7154, loss: 3.7154 2023-12-23 20:47:36,060 - pyskl - INFO - Epoch [24][2400/3405] lr: 2.349e-02, eta: 1 day, 7:11:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9506, loss_cls: 3.7154, loss: 3.7154 2023-12-23 20:48:01,174 - pyskl - INFO - Epoch [24][2500/3405] lr: 2.349e-02, eta: 1 day, 7:10:45, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7175, top5_acc: 0.9450, loss_cls: 3.7735, loss: 3.7735 2023-12-23 20:48:26,329 - pyskl - INFO - Epoch [24][2600/3405] lr: 2.348e-02, eta: 1 day, 7:10:14, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9506, loss_cls: 3.7167, loss: 3.7167 2023-12-23 20:48:51,563 - pyskl - INFO - Epoch [24][2700/3405] lr: 2.348e-02, eta: 1 day, 7:09:43, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7475, top5_acc: 0.9525, loss_cls: 3.7268, loss: 3.7268 2023-12-23 20:49:16,832 - pyskl - INFO - Epoch [24][2800/3405] lr: 2.348e-02, eta: 1 day, 7:09:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9481, loss_cls: 3.6913, loss: 3.6913 2023-12-23 20:49:42,063 - pyskl - INFO - Epoch [24][2900/3405] lr: 2.347e-02, eta: 1 day, 7:08:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7312, top5_acc: 0.9475, loss_cls: 3.7308, loss: 3.7308 2023-12-23 20:50:07,301 - pyskl - INFO - Epoch [24][3000/3405] lr: 2.347e-02, eta: 1 day, 7:08:11, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7137, top5_acc: 0.9400, loss_cls: 3.8210, loss: 3.8210 2023-12-23 20:50:32,685 - pyskl - INFO - Epoch [24][3100/3405] lr: 2.347e-02, eta: 1 day, 7:07:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7531, top5_acc: 0.9600, loss_cls: 3.6774, loss: 3.6774 2023-12-23 20:50:57,974 - pyskl - INFO - Epoch [24][3200/3405] lr: 2.346e-02, eta: 1 day, 7:07:11, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7450, top5_acc: 0.9550, loss_cls: 3.6678, loss: 3.6678 2023-12-23 20:51:23,227 - pyskl - INFO - Epoch [24][3300/3405] lr: 2.346e-02, eta: 1 day, 7:06:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9506, loss_cls: 3.6843, loss: 3.6843 2023-12-23 20:51:48,610 - pyskl - INFO - Epoch [24][3400/3405] lr: 2.345e-02, eta: 1 day, 7:06:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7481, top5_acc: 0.9537, loss_cls: 3.7101, loss: 3.7101 2023-12-23 20:51:50,551 - pyskl - INFO - Saving checkpoint at 24 epochs 2023-12-23 20:56:13,682 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:56:14,289 - pyskl - INFO - top1_acc 0.7279 top5_acc 0.9360 2023-12-23 20:56:14,315 - pyskl - INFO - Epoch(val) [24][3718] top1_acc: 0.7279, top5_acc: 0.9360 2023-12-23 20:57:07,954 - pyskl - INFO - Epoch [25][100/3405] lr: 2.345e-02, eta: 1 day, 7:08:00, time: 0.536, data_time: 0.283, memory: 5236, top1_acc: 0.7538, top5_acc: 0.9575, loss_cls: 3.6838, loss: 3.6838 2023-12-23 20:57:33,415 - pyskl - INFO - Epoch [25][200/3405] lr: 2.345e-02, eta: 1 day, 7:07:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9525, loss_cls: 3.6651, loss: 3.6651 2023-12-23 20:57:58,704 - pyskl - INFO - Epoch [25][300/3405] lr: 2.344e-02, eta: 1 day, 7:07:00, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7350, top5_acc: 0.9450, loss_cls: 3.7503, loss: 3.7503 2023-12-23 20:58:24,171 - pyskl - INFO - Epoch [25][400/3405] lr: 2.344e-02, eta: 1 day, 7:06:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7300, top5_acc: 0.9513, loss_cls: 3.7332, loss: 3.7332 2023-12-23 20:58:49,858 - pyskl - INFO - Epoch [25][500/3405] lr: 2.344e-02, eta: 1 day, 7:06:02, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9563, loss_cls: 3.7007, loss: 3.7007 2023-12-23 20:59:15,149 - pyskl - INFO - Epoch [25][600/3405] lr: 2.343e-02, eta: 1 day, 7:05:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7425, top5_acc: 0.9469, loss_cls: 3.7173, loss: 3.7173 2023-12-23 20:59:40,636 - pyskl - INFO - Epoch [25][700/3405] lr: 2.343e-02, eta: 1 day, 7:05:02, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7494, top5_acc: 0.9494, loss_cls: 3.7373, loss: 3.7373 2023-12-23 21:00:06,298 - pyskl - INFO - Epoch [25][800/3405] lr: 2.342e-02, eta: 1 day, 7:04:34, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7412, top5_acc: 0.9631, loss_cls: 3.6891, loss: 3.6891 2023-12-23 21:00:31,962 - pyskl - INFO - Epoch [25][900/3405] lr: 2.342e-02, eta: 1 day, 7:04:05, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7469, top5_acc: 0.9581, loss_cls: 3.7023, loss: 3.7023 2023-12-23 21:00:57,552 - pyskl - INFO - Epoch [25][1000/3405] lr: 2.342e-02, eta: 1 day, 7:03:36, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7494, top5_acc: 0.9494, loss_cls: 3.7163, loss: 3.7163 2023-12-23 21:01:23,066 - pyskl - INFO - Epoch [25][1100/3405] lr: 2.341e-02, eta: 1 day, 7:03:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7419, top5_acc: 0.9531, loss_cls: 3.7128, loss: 3.7128 2023-12-23 21:01:48,834 - pyskl - INFO - Epoch [25][1200/3405] lr: 2.341e-02, eta: 1 day, 7:02:39, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7375, top5_acc: 0.9475, loss_cls: 3.7554, loss: 3.7554 2023-12-23 21:02:14,305 - pyskl - INFO - Epoch [25][1300/3405] lr: 2.341e-02, eta: 1 day, 7:02:09, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7300, top5_acc: 0.9363, loss_cls: 3.7597, loss: 3.7597 2023-12-23 21:02:40,024 - pyskl - INFO - Epoch [25][1400/3405] lr: 2.340e-02, eta: 1 day, 7:01:41, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7388, top5_acc: 0.9425, loss_cls: 3.7591, loss: 3.7591 2023-12-23 21:03:05,303 - pyskl - INFO - Epoch [25][1500/3405] lr: 2.340e-02, eta: 1 day, 7:01:11, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9656, loss_cls: 3.6051, loss: 3.6051 2023-12-23 21:03:30,498 - pyskl - INFO - Epoch [25][1600/3405] lr: 2.339e-02, eta: 1 day, 7:00:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7306, top5_acc: 0.9481, loss_cls: 3.7468, loss: 3.7468 2023-12-23 21:03:55,722 - pyskl - INFO - Epoch [25][1700/3405] lr: 2.339e-02, eta: 1 day, 7:00:09, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9406, loss_cls: 3.7370, loss: 3.7370 2023-12-23 21:04:21,192 - pyskl - INFO - Epoch [25][1800/3405] lr: 2.339e-02, eta: 1 day, 6:59:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9556, loss_cls: 3.7049, loss: 3.7049 2023-12-23 21:04:46,402 - pyskl - INFO - Epoch [25][1900/3405] lr: 2.338e-02, eta: 1 day, 6:59:09, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7269, top5_acc: 0.9456, loss_cls: 3.7481, loss: 3.7481 2023-12-23 21:05:11,609 - pyskl - INFO - Epoch [25][2000/3405] lr: 2.338e-02, eta: 1 day, 6:58:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7512, top5_acc: 0.9556, loss_cls: 3.6639, loss: 3.6639 2023-12-23 21:05:36,769 - pyskl - INFO - Epoch [25][2100/3405] lr: 2.338e-02, eta: 1 day, 6:58:07, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7538, top5_acc: 0.9469, loss_cls: 3.6819, loss: 3.6819 2023-12-23 21:06:01,898 - pyskl - INFO - Epoch [25][2200/3405] lr: 2.337e-02, eta: 1 day, 6:57:36, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7412, top5_acc: 0.9500, loss_cls: 3.6901, loss: 3.6901 2023-12-23 21:06:27,231 - pyskl - INFO - Epoch [25][2300/3405] lr: 2.337e-02, eta: 1 day, 6:57:06, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9569, loss_cls: 3.6671, loss: 3.6671 2023-12-23 21:06:52,636 - pyskl - INFO - Epoch [25][2400/3405] lr: 2.336e-02, eta: 1 day, 6:56:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7425, top5_acc: 0.9519, loss_cls: 3.7111, loss: 3.7111 2023-12-23 21:07:18,062 - pyskl - INFO - Epoch [25][2500/3405] lr: 2.336e-02, eta: 1 day, 6:56:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7275, top5_acc: 0.9450, loss_cls: 3.7835, loss: 3.7835 2023-12-23 21:07:43,431 - pyskl - INFO - Epoch [25][2600/3405] lr: 2.336e-02, eta: 1 day, 6:55:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9619, loss_cls: 3.6611, loss: 3.6611 2023-12-23 21:08:08,761 - pyskl - INFO - Epoch [25][2700/3405] lr: 2.335e-02, eta: 1 day, 6:55:07, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9500, loss_cls: 3.7049, loss: 3.7049 2023-12-23 21:08:33,964 - pyskl - INFO - Epoch [25][2800/3405] lr: 2.335e-02, eta: 1 day, 6:54:36, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7488, top5_acc: 0.9506, loss_cls: 3.7197, loss: 3.7197 2023-12-23 21:08:59,206 - pyskl - INFO - Epoch [25][2900/3405] lr: 2.334e-02, eta: 1 day, 6:54:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7256, top5_acc: 0.9363, loss_cls: 3.7808, loss: 3.7808 2023-12-23 21:09:24,412 - pyskl - INFO - Epoch [25][3000/3405] lr: 2.334e-02, eta: 1 day, 6:53:35, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9575, loss_cls: 3.6904, loss: 3.6904 2023-12-23 21:09:49,726 - pyskl - INFO - Epoch [25][3100/3405] lr: 2.334e-02, eta: 1 day, 6:53:05, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9469, loss_cls: 3.7240, loss: 3.7240 2023-12-23 21:10:14,849 - pyskl - INFO - Epoch [25][3200/3405] lr: 2.333e-02, eta: 1 day, 6:52:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9487, loss_cls: 3.6804, loss: 3.6804 2023-12-23 21:10:39,977 - pyskl - INFO - Epoch [25][3300/3405] lr: 2.333e-02, eta: 1 day, 6:52:03, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7381, top5_acc: 0.9413, loss_cls: 3.7343, loss: 3.7343 2023-12-23 21:11:05,286 - pyskl - INFO - Epoch [25][3400/3405] lr: 2.333e-02, eta: 1 day, 6:51:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7538, top5_acc: 0.9425, loss_cls: 3.6857, loss: 3.6857 2023-12-23 21:11:07,200 - pyskl - INFO - Saving checkpoint at 25 epochs 2023-12-23 21:15:30,581 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:15:31,190 - pyskl - INFO - top1_acc 0.7218 top5_acc 0.9363 2023-12-23 21:15:31,216 - pyskl - INFO - Epoch(val) [25][3718] top1_acc: 0.7218, top5_acc: 0.9363 2023-12-23 21:16:24,359 - pyskl - INFO - Epoch [26][100/3405] lr: 2.332e-02, eta: 1 day, 6:53:14, time: 0.531, data_time: 0.277, memory: 5236, top1_acc: 0.7375, top5_acc: 0.9469, loss_cls: 3.7257, loss: 3.7257 2023-12-23 21:16:49,793 - pyskl - INFO - Epoch [26][200/3405] lr: 2.332e-02, eta: 1 day, 6:52:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9537, loss_cls: 3.6690, loss: 3.6690 2023-12-23 21:17:15,120 - pyskl - INFO - Epoch [26][300/3405] lr: 2.331e-02, eta: 1 day, 6:52:14, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9594, loss_cls: 3.6490, loss: 3.6490 2023-12-23 21:17:41,105 - pyskl - INFO - Epoch [26][400/3405] lr: 2.331e-02, eta: 1 day, 6:51:47, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9481, loss_cls: 3.7276, loss: 3.7276 2023-12-23 21:18:06,688 - pyskl - INFO - Epoch [26][500/3405] lr: 2.331e-02, eta: 1 day, 6:51:19, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7338, top5_acc: 0.9550, loss_cls: 3.7097, loss: 3.7097 2023-12-23 21:18:32,328 - pyskl - INFO - Epoch [26][600/3405] lr: 2.330e-02, eta: 1 day, 6:50:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7394, top5_acc: 0.9475, loss_cls: 3.7409, loss: 3.7409 2023-12-23 21:18:57,926 - pyskl - INFO - Epoch [26][700/3405] lr: 2.330e-02, eta: 1 day, 6:50:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9519, loss_cls: 3.6978, loss: 3.6978 2023-12-23 21:19:23,532 - pyskl - INFO - Epoch [26][800/3405] lr: 2.329e-02, eta: 1 day, 6:49:53, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9625, loss_cls: 3.6181, loss: 3.6181 2023-12-23 21:19:49,320 - pyskl - INFO - Epoch [26][900/3405] lr: 2.329e-02, eta: 1 day, 6:49:25, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9587, loss_cls: 3.6962, loss: 3.6962 2023-12-23 21:20:15,060 - pyskl - INFO - Epoch [26][1000/3405] lr: 2.329e-02, eta: 1 day, 6:48:57, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9469, loss_cls: 3.6829, loss: 3.6829 2023-12-23 21:20:40,783 - pyskl - INFO - Epoch [26][1100/3405] lr: 2.328e-02, eta: 1 day, 6:48:29, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9544, loss_cls: 3.6630, loss: 3.6630 2023-12-23 21:21:06,361 - pyskl - INFO - Epoch [26][1200/3405] lr: 2.328e-02, eta: 1 day, 6:48:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7319, top5_acc: 0.9425, loss_cls: 3.7647, loss: 3.7647 2023-12-23 21:21:31,827 - pyskl - INFO - Epoch [26][1300/3405] lr: 2.328e-02, eta: 1 day, 6:47:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9569, loss_cls: 3.6918, loss: 3.6918 2023-12-23 21:21:57,306 - pyskl - INFO - Epoch [26][1400/3405] lr: 2.327e-02, eta: 1 day, 6:47:01, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7394, top5_acc: 0.9481, loss_cls: 3.7022, loss: 3.7022 2023-12-23 21:22:22,709 - pyskl - INFO - Epoch [26][1500/3405] lr: 2.327e-02, eta: 1 day, 6:46:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9506, loss_cls: 3.6862, loss: 3.6862 2023-12-23 21:22:48,086 - pyskl - INFO - Epoch [26][1600/3405] lr: 2.326e-02, eta: 1 day, 6:46:02, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9537, loss_cls: 3.6976, loss: 3.6976 2023-12-23 21:23:13,302 - pyskl - INFO - Epoch [26][1700/3405] lr: 2.326e-02, eta: 1 day, 6:45:31, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9550, loss_cls: 3.6905, loss: 3.6905 2023-12-23 21:23:38,439 - pyskl - INFO - Epoch [26][1800/3405] lr: 2.326e-02, eta: 1 day, 6:45:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7338, top5_acc: 0.9500, loss_cls: 3.7237, loss: 3.7237 2023-12-23 21:24:03,628 - pyskl - INFO - Epoch [26][1900/3405] lr: 2.325e-02, eta: 1 day, 6:44:30, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7262, top5_acc: 0.9456, loss_cls: 3.7681, loss: 3.7681 2023-12-23 21:24:28,808 - pyskl - INFO - Epoch [26][2000/3405] lr: 2.325e-02, eta: 1 day, 6:43:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7231, top5_acc: 0.9406, loss_cls: 3.7867, loss: 3.7867 2023-12-23 21:24:54,362 - pyskl - INFO - Epoch [26][2100/3405] lr: 2.324e-02, eta: 1 day, 6:43:30, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9531, loss_cls: 3.7141, loss: 3.7141 2023-12-23 21:25:19,485 - pyskl - INFO - Epoch [26][2200/3405] lr: 2.324e-02, eta: 1 day, 6:42:59, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9519, loss_cls: 3.6981, loss: 3.6981 2023-12-23 21:25:44,542 - pyskl - INFO - Epoch [26][2300/3405] lr: 2.324e-02, eta: 1 day, 6:42:28, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7231, top5_acc: 0.9481, loss_cls: 3.7467, loss: 3.7467 2023-12-23 21:26:09,660 - pyskl - INFO - Epoch [26][2400/3405] lr: 2.323e-02, eta: 1 day, 6:41:57, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7369, top5_acc: 0.9494, loss_cls: 3.7424, loss: 3.7424 2023-12-23 21:26:34,645 - pyskl - INFO - Epoch [26][2500/3405] lr: 2.323e-02, eta: 1 day, 6:41:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9587, loss_cls: 3.6758, loss: 3.6758 2023-12-23 21:26:59,621 - pyskl - INFO - Epoch [26][2600/3405] lr: 2.322e-02, eta: 1 day, 6:40:54, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9550, loss_cls: 3.6754, loss: 3.6754 2023-12-23 21:27:24,602 - pyskl - INFO - Epoch [26][2700/3405] lr: 2.322e-02, eta: 1 day, 6:40:22, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7469, top5_acc: 0.9406, loss_cls: 3.7025, loss: 3.7025 2023-12-23 21:27:49,710 - pyskl - INFO - Epoch [26][2800/3405] lr: 2.322e-02, eta: 1 day, 6:39:51, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9475, loss_cls: 3.6989, loss: 3.6989 2023-12-23 21:28:14,891 - pyskl - INFO - Epoch [26][2900/3405] lr: 2.321e-02, eta: 1 day, 6:39:21, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9600, loss_cls: 3.6427, loss: 3.6427 2023-12-23 21:28:40,046 - pyskl - INFO - Epoch [26][3000/3405] lr: 2.321e-02, eta: 1 day, 6:38:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7331, top5_acc: 0.9556, loss_cls: 3.6961, loss: 3.6961 2023-12-23 21:29:05,222 - pyskl - INFO - Epoch [26][3100/3405] lr: 2.320e-02, eta: 1 day, 6:38:19, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9506, loss_cls: 3.7045, loss: 3.7045 2023-12-23 21:29:30,333 - pyskl - INFO - Epoch [26][3200/3405] lr: 2.320e-02, eta: 1 day, 6:37:49, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7306, top5_acc: 0.9506, loss_cls: 3.7316, loss: 3.7316 2023-12-23 21:29:55,537 - pyskl - INFO - Epoch [26][3300/3405] lr: 2.320e-02, eta: 1 day, 6:37:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7469, top5_acc: 0.9463, loss_cls: 3.7305, loss: 3.7305 2023-12-23 21:30:20,725 - pyskl - INFO - Epoch [26][3400/3405] lr: 2.319e-02, eta: 1 day, 6:36:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7475, top5_acc: 0.9506, loss_cls: 3.7233, loss: 3.7233 2023-12-23 21:30:22,692 - pyskl - INFO - Saving checkpoint at 26 epochs 2023-12-23 21:34:47,302 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:34:47,941 - pyskl - INFO - top1_acc 0.7091 top5_acc 0.9336 2023-12-23 21:34:47,976 - pyskl - INFO - Epoch(val) [26][3718] top1_acc: 0.7091, top5_acc: 0.9336 2023-12-23 21:35:42,320 - pyskl - INFO - Epoch [27][100/3405] lr: 2.319e-02, eta: 1 day, 6:38:29, time: 0.543, data_time: 0.289, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9506, loss_cls: 3.6688, loss: 3.6688 2023-12-23 21:36:07,712 - pyskl - INFO - Epoch [27][200/3405] lr: 2.318e-02, eta: 1 day, 6:37:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9581, loss_cls: 3.6787, loss: 3.6787 2023-12-23 21:36:33,433 - pyskl - INFO - Epoch [27][300/3405] lr: 2.318e-02, eta: 1 day, 6:37:31, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9544, loss_cls: 3.6617, loss: 3.6617 2023-12-23 21:36:59,150 - pyskl - INFO - Epoch [27][400/3405] lr: 2.318e-02, eta: 1 day, 6:37:03, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9500, loss_cls: 3.7305, loss: 3.7305 2023-12-23 21:37:25,032 - pyskl - INFO - Epoch [27][500/3405] lr: 2.317e-02, eta: 1 day, 6:36:35, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9537, loss_cls: 3.6797, loss: 3.6797 2023-12-23 21:37:50,581 - pyskl - INFO - Epoch [27][600/3405] lr: 2.317e-02, eta: 1 day, 6:36:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9556, loss_cls: 3.6576, loss: 3.6576 2023-12-23 21:38:16,116 - pyskl - INFO - Epoch [27][700/3405] lr: 2.316e-02, eta: 1 day, 6:35:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7306, top5_acc: 0.9575, loss_cls: 3.7286, loss: 3.7286 2023-12-23 21:38:41,865 - pyskl - INFO - Epoch [27][800/3405] lr: 2.316e-02, eta: 1 day, 6:35:10, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9513, loss_cls: 3.7316, loss: 3.7316 2023-12-23 21:39:07,280 - pyskl - INFO - Epoch [27][900/3405] lr: 2.316e-02, eta: 1 day, 6:34:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7494, top5_acc: 0.9519, loss_cls: 3.7159, loss: 3.7159 2023-12-23 21:39:32,727 - pyskl - INFO - Epoch [27][1000/3405] lr: 2.315e-02, eta: 1 day, 6:34:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7512, top5_acc: 0.9481, loss_cls: 3.6974, loss: 3.6974 2023-12-23 21:39:58,372 - pyskl - INFO - Epoch [27][1100/3405] lr: 2.315e-02, eta: 1 day, 6:33:42, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7381, top5_acc: 0.9519, loss_cls: 3.7215, loss: 3.7215 2023-12-23 21:40:23,892 - pyskl - INFO - Epoch [27][1200/3405] lr: 2.314e-02, eta: 1 day, 6:33:13, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7331, top5_acc: 0.9381, loss_cls: 3.7732, loss: 3.7732 2023-12-23 21:40:49,514 - pyskl - INFO - Epoch [27][1300/3405] lr: 2.314e-02, eta: 1 day, 6:32:45, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7756, top5_acc: 0.9544, loss_cls: 3.6602, loss: 3.6602 2023-12-23 21:41:15,030 - pyskl - INFO - Epoch [27][1400/3405] lr: 2.314e-02, eta: 1 day, 6:32:16, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7475, top5_acc: 0.9487, loss_cls: 3.7102, loss: 3.7102 2023-12-23 21:41:40,415 - pyskl - INFO - Epoch [27][1500/3405] lr: 2.313e-02, eta: 1 day, 6:31:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9444, loss_cls: 3.7336, loss: 3.7336 2023-12-23 21:42:05,709 - pyskl - INFO - Epoch [27][1600/3405] lr: 2.313e-02, eta: 1 day, 6:31:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9519, loss_cls: 3.6604, loss: 3.6604 2023-12-23 21:42:31,038 - pyskl - INFO - Epoch [27][1700/3405] lr: 2.312e-02, eta: 1 day, 6:30:47, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7344, top5_acc: 0.9494, loss_cls: 3.7368, loss: 3.7368 2023-12-23 21:42:56,268 - pyskl - INFO - Epoch [27][1800/3405] lr: 2.312e-02, eta: 1 day, 6:30:16, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9500, loss_cls: 3.7179, loss: 3.7179 2023-12-23 21:43:21,388 - pyskl - INFO - Epoch [27][1900/3405] lr: 2.312e-02, eta: 1 day, 6:29:46, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7569, top5_acc: 0.9613, loss_cls: 3.6744, loss: 3.6744 2023-12-23 21:43:46,331 - pyskl - INFO - Epoch [27][2000/3405] lr: 2.311e-02, eta: 1 day, 6:29:14, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9525, loss_cls: 3.6918, loss: 3.6918 2023-12-23 21:44:11,332 - pyskl - INFO - Epoch [27][2100/3405] lr: 2.311e-02, eta: 1 day, 6:28:43, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7375, top5_acc: 0.9519, loss_cls: 3.7314, loss: 3.7314 2023-12-23 21:44:36,603 - pyskl - INFO - Epoch [27][2200/3405] lr: 2.310e-02, eta: 1 day, 6:28:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7494, top5_acc: 0.9525, loss_cls: 3.7044, loss: 3.7044 2023-12-23 21:45:01,958 - pyskl - INFO - Epoch [27][2300/3405] lr: 2.310e-02, eta: 1 day, 6:27:43, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7238, top5_acc: 0.9544, loss_cls: 3.7492, loss: 3.7492 2023-12-23 21:45:27,336 - pyskl - INFO - Epoch [27][2400/3405] lr: 2.310e-02, eta: 1 day, 6:27:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7312, top5_acc: 0.9544, loss_cls: 3.7360, loss: 3.7360 2023-12-23 21:45:52,549 - pyskl - INFO - Epoch [27][2500/3405] lr: 2.309e-02, eta: 1 day, 6:26:43, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7569, top5_acc: 0.9506, loss_cls: 3.6890, loss: 3.6890 2023-12-23 21:46:17,882 - pyskl - INFO - Epoch [27][2600/3405] lr: 2.309e-02, eta: 1 day, 6:26:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9475, loss_cls: 3.6470, loss: 3.6470 2023-12-23 21:46:43,257 - pyskl - INFO - Epoch [27][2700/3405] lr: 2.308e-02, eta: 1 day, 6:25:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9525, loss_cls: 3.6663, loss: 3.6663 2023-12-23 21:47:08,567 - pyskl - INFO - Epoch [27][2800/3405] lr: 2.308e-02, eta: 1 day, 6:25:14, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7538, top5_acc: 0.9506, loss_cls: 3.7118, loss: 3.7118 2023-12-23 21:47:33,879 - pyskl - INFO - Epoch [27][2900/3405] lr: 2.307e-02, eta: 1 day, 6:24:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9481, loss_cls: 3.7087, loss: 3.7087 2023-12-23 21:47:59,253 - pyskl - INFO - Epoch [27][3000/3405] lr: 2.307e-02, eta: 1 day, 6:24:15, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7488, top5_acc: 0.9531, loss_cls: 3.7016, loss: 3.7016 2023-12-23 21:48:24,605 - pyskl - INFO - Epoch [27][3100/3405] lr: 2.307e-02, eta: 1 day, 6:23:45, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9456, loss_cls: 3.7127, loss: 3.7127 2023-12-23 21:48:49,825 - pyskl - INFO - Epoch [27][3200/3405] lr: 2.306e-02, eta: 1 day, 6:23:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9550, loss_cls: 3.7014, loss: 3.7014 2023-12-23 21:49:15,117 - pyskl - INFO - Epoch [27][3300/3405] lr: 2.306e-02, eta: 1 day, 6:22:45, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9544, loss_cls: 3.6808, loss: 3.6808 2023-12-23 21:49:40,249 - pyskl - INFO - Epoch [27][3400/3405] lr: 2.305e-02, eta: 1 day, 6:22:15, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9494, loss_cls: 3.7129, loss: 3.7129 2023-12-23 21:49:42,196 - pyskl - INFO - Saving checkpoint at 27 epochs 2023-12-23 21:54:06,008 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:54:06,607 - pyskl - INFO - top1_acc 0.7218 top5_acc 0.9337 2023-12-23 21:54:06,634 - pyskl - INFO - Epoch(val) [27][3718] top1_acc: 0.7218, top5_acc: 0.9337 2023-12-23 21:55:00,070 - pyskl - INFO - Epoch [28][100/3405] lr: 2.305e-02, eta: 1 day, 6:23:46, time: 0.534, data_time: 0.278, memory: 5236, top1_acc: 0.7444, top5_acc: 0.9619, loss_cls: 3.6559, loss: 3.6559 2023-12-23 21:55:25,665 - pyskl - INFO - Epoch [28][200/3405] lr: 2.305e-02, eta: 1 day, 6:23:17, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9600, loss_cls: 3.6235, loss: 3.6235 2023-12-23 21:55:51,213 - pyskl - INFO - Epoch [28][300/3405] lr: 2.304e-02, eta: 1 day, 6:22:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9569, loss_cls: 3.6683, loss: 3.6683 2023-12-23 21:56:16,940 - pyskl - INFO - Epoch [28][400/3405] lr: 2.304e-02, eta: 1 day, 6:22:20, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7388, top5_acc: 0.9644, loss_cls: 3.6773, loss: 3.6773 2023-12-23 21:56:42,521 - pyskl - INFO - Epoch [28][500/3405] lr: 2.303e-02, eta: 1 day, 6:21:52, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7725, top5_acc: 0.9494, loss_cls: 3.6641, loss: 3.6641 2023-12-23 21:57:07,621 - pyskl - INFO - Epoch [28][600/3405] lr: 2.303e-02, eta: 1 day, 6:21:21, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7369, top5_acc: 0.9587, loss_cls: 3.7193, loss: 3.7193 2023-12-23 21:57:32,797 - pyskl - INFO - Epoch [28][700/3405] lr: 2.303e-02, eta: 1 day, 6:20:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7356, top5_acc: 0.9506, loss_cls: 3.7333, loss: 3.7333 2023-12-23 21:57:58,180 - pyskl - INFO - Epoch [28][800/3405] lr: 2.302e-02, eta: 1 day, 6:20:21, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9637, loss_cls: 3.5946, loss: 3.5946 2023-12-23 21:58:23,454 - pyskl - INFO - Epoch [28][900/3405] lr: 2.302e-02, eta: 1 day, 6:19:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9494, loss_cls: 3.6784, loss: 3.6784 2023-12-23 21:58:48,993 - pyskl - INFO - Epoch [28][1000/3405] lr: 2.301e-02, eta: 1 day, 6:19:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7469, top5_acc: 0.9537, loss_cls: 3.7040, loss: 3.7040 2023-12-23 21:59:14,547 - pyskl - INFO - Epoch [28][1100/3405] lr: 2.301e-02, eta: 1 day, 6:18:54, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9519, loss_cls: 3.6998, loss: 3.6998 2023-12-23 21:59:40,350 - pyskl - INFO - Epoch [28][1200/3405] lr: 2.300e-02, eta: 1 day, 6:18:26, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9481, loss_cls: 3.7351, loss: 3.7351 2023-12-23 22:00:05,881 - pyskl - INFO - Epoch [28][1300/3405] lr: 2.300e-02, eta: 1 day, 6:17:57, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7638, top5_acc: 0.9537, loss_cls: 3.6562, loss: 3.6562 2023-12-23 22:00:31,359 - pyskl - INFO - Epoch [28][1400/3405] lr: 2.300e-02, eta: 1 day, 6:17:28, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9556, loss_cls: 3.6664, loss: 3.6664 2023-12-23 22:00:56,785 - pyskl - INFO - Epoch [28][1500/3405] lr: 2.299e-02, eta: 1 day, 6:16:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7388, top5_acc: 0.9531, loss_cls: 3.7284, loss: 3.7284 2023-12-23 22:01:22,177 - pyskl - INFO - Epoch [28][1600/3405] lr: 2.299e-02, eta: 1 day, 6:16:29, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7538, top5_acc: 0.9537, loss_cls: 3.6611, loss: 3.6611 2023-12-23 22:01:47,622 - pyskl - INFO - Epoch [28][1700/3405] lr: 2.298e-02, eta: 1 day, 6:16:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9587, loss_cls: 3.6485, loss: 3.6485 2023-12-23 22:02:12,990 - pyskl - INFO - Epoch [28][1800/3405] lr: 2.298e-02, eta: 1 day, 6:15:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9450, loss_cls: 3.7018, loss: 3.7018 2023-12-23 22:02:38,192 - pyskl - INFO - Epoch [28][1900/3405] lr: 2.298e-02, eta: 1 day, 6:15:01, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7288, top5_acc: 0.9537, loss_cls: 3.7410, loss: 3.7410 2023-12-23 22:03:03,416 - pyskl - INFO - Epoch [28][2000/3405] lr: 2.297e-02, eta: 1 day, 6:14:31, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9606, loss_cls: 3.6847, loss: 3.6847 2023-12-23 22:03:28,746 - pyskl - INFO - Epoch [28][2100/3405] lr: 2.297e-02, eta: 1 day, 6:14:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9544, loss_cls: 3.6808, loss: 3.6808 2023-12-23 22:03:53,893 - pyskl - INFO - Epoch [28][2200/3405] lr: 2.296e-02, eta: 1 day, 6:13:30, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9506, loss_cls: 3.6858, loss: 3.6858 2023-12-23 22:04:19,005 - pyskl - INFO - Epoch [28][2300/3405] lr: 2.296e-02, eta: 1 day, 6:13:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7388, top5_acc: 0.9531, loss_cls: 3.7267, loss: 3.7267 2023-12-23 22:04:44,399 - pyskl - INFO - Epoch [28][2400/3405] lr: 2.295e-02, eta: 1 day, 6:12:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9594, loss_cls: 3.6548, loss: 3.6548 2023-12-23 22:05:09,730 - pyskl - INFO - Epoch [28][2500/3405] lr: 2.295e-02, eta: 1 day, 6:12:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7050, top5_acc: 0.9537, loss_cls: 3.7734, loss: 3.7734 2023-12-23 22:05:34,730 - pyskl - INFO - Epoch [28][2600/3405] lr: 2.295e-02, eta: 1 day, 6:11:30, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7381, top5_acc: 0.9444, loss_cls: 3.7316, loss: 3.7316 2023-12-23 22:05:59,681 - pyskl - INFO - Epoch [28][2700/3405] lr: 2.294e-02, eta: 1 day, 6:10:59, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9537, loss_cls: 3.6980, loss: 3.6980 2023-12-23 22:06:24,619 - pyskl - INFO - Epoch [28][2800/3405] lr: 2.294e-02, eta: 1 day, 6:10:27, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7512, top5_acc: 0.9481, loss_cls: 3.7084, loss: 3.7084 2023-12-23 22:06:49,569 - pyskl - INFO - Epoch [28][2900/3405] lr: 2.293e-02, eta: 1 day, 6:09:56, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7238, top5_acc: 0.9475, loss_cls: 3.7534, loss: 3.7534 2023-12-23 22:07:14,525 - pyskl - INFO - Epoch [28][3000/3405] lr: 2.293e-02, eta: 1 day, 6:09:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7331, top5_acc: 0.9500, loss_cls: 3.7714, loss: 3.7714 2023-12-23 22:07:39,488 - pyskl - INFO - Epoch [28][3100/3405] lr: 2.292e-02, eta: 1 day, 6:08:54, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9500, loss_cls: 3.6941, loss: 3.6941 2023-12-23 22:08:04,438 - pyskl - INFO - Epoch [28][3200/3405] lr: 2.292e-02, eta: 1 day, 6:08:23, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9494, loss_cls: 3.7358, loss: 3.7358 2023-12-23 22:08:29,413 - pyskl - INFO - Epoch [28][3300/3405] lr: 2.292e-02, eta: 1 day, 6:07:52, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7331, top5_acc: 0.9456, loss_cls: 3.7769, loss: 3.7769 2023-12-23 22:08:54,401 - pyskl - INFO - Epoch [28][3400/3405] lr: 2.291e-02, eta: 1 day, 6:07:21, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9619, loss_cls: 3.6425, loss: 3.6425 2023-12-23 22:08:56,360 - pyskl - INFO - Saving checkpoint at 28 epochs 2023-12-23 22:13:19,493 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:13:20,102 - pyskl - INFO - top1_acc 0.7236 top5_acc 0.9389 2023-12-23 22:13:20,128 - pyskl - INFO - Epoch(val) [28][3718] top1_acc: 0.7236, top5_acc: 0.9389 2023-12-23 22:14:12,805 - pyskl - INFO - Epoch [29][100/3405] lr: 2.291e-02, eta: 1 day, 6:08:43, time: 0.527, data_time: 0.273, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9656, loss_cls: 3.6553, loss: 3.6553 2023-12-23 22:14:38,184 - pyskl - INFO - Epoch [29][200/3405] lr: 2.290e-02, eta: 1 day, 6:08:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9600, loss_cls: 3.6388, loss: 3.6388 2023-12-23 22:15:03,775 - pyskl - INFO - Epoch [29][300/3405] lr: 2.290e-02, eta: 1 day, 6:07:45, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7531, top5_acc: 0.9444, loss_cls: 3.7113, loss: 3.7113 2023-12-23 22:15:29,341 - pyskl - INFO - Epoch [29][400/3405] lr: 2.289e-02, eta: 1 day, 6:07:17, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9475, loss_cls: 3.6820, loss: 3.6820 2023-12-23 22:15:55,200 - pyskl - INFO - Epoch [29][500/3405] lr: 2.289e-02, eta: 1 day, 6:06:50, time: 0.259, data_time: 0.001, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9575, loss_cls: 3.6513, loss: 3.6513 2023-12-23 22:16:20,559 - pyskl - INFO - Epoch [29][600/3405] lr: 2.289e-02, eta: 1 day, 6:06:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9513, loss_cls: 3.6597, loss: 3.6597 2023-12-23 22:16:46,061 - pyskl - INFO - Epoch [29][700/3405] lr: 2.288e-02, eta: 1 day, 6:05:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9513, loss_cls: 3.6569, loss: 3.6569 2023-12-23 22:17:11,170 - pyskl - INFO - Epoch [29][800/3405] lr: 2.288e-02, eta: 1 day, 6:05:21, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9563, loss_cls: 3.6654, loss: 3.6654 2023-12-23 22:17:36,357 - pyskl - INFO - Epoch [29][900/3405] lr: 2.287e-02, eta: 1 day, 6:04:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9563, loss_cls: 3.6514, loss: 3.6514 2023-12-23 22:18:01,889 - pyskl - INFO - Epoch [29][1000/3405] lr: 2.287e-02, eta: 1 day, 6:04:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9456, loss_cls: 3.7148, loss: 3.7148 2023-12-23 22:18:27,405 - pyskl - INFO - Epoch [29][1100/3405] lr: 2.286e-02, eta: 1 day, 6:03:53, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9400, loss_cls: 3.6891, loss: 3.6891 2023-12-23 22:18:52,993 - pyskl - INFO - Epoch [29][1200/3405] lr: 2.286e-02, eta: 1 day, 6:03:25, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7475, top5_acc: 0.9587, loss_cls: 3.6694, loss: 3.6694 2023-12-23 22:19:18,358 - pyskl - INFO - Epoch [29][1300/3405] lr: 2.286e-02, eta: 1 day, 6:02:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9613, loss_cls: 3.6353, loss: 3.6353 2023-12-23 22:19:43,562 - pyskl - INFO - Epoch [29][1400/3405] lr: 2.285e-02, eta: 1 day, 6:02:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7475, top5_acc: 0.9556, loss_cls: 3.7103, loss: 3.7103 2023-12-23 22:20:08,744 - pyskl - INFO - Epoch [29][1500/3405] lr: 2.285e-02, eta: 1 day, 6:01:55, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7362, top5_acc: 0.9531, loss_cls: 3.7261, loss: 3.7261 2023-12-23 22:20:34,171 - pyskl - INFO - Epoch [29][1600/3405] lr: 2.284e-02, eta: 1 day, 6:01:26, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9569, loss_cls: 3.6910, loss: 3.6910 2023-12-23 22:20:59,612 - pyskl - INFO - Epoch [29][1700/3405] lr: 2.284e-02, eta: 1 day, 6:00:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9606, loss_cls: 3.6528, loss: 3.6528 2023-12-23 22:21:24,983 - pyskl - INFO - Epoch [29][1800/3405] lr: 2.283e-02, eta: 1 day, 6:00:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9581, loss_cls: 3.6208, loss: 3.6208 2023-12-23 22:21:50,412 - pyskl - INFO - Epoch [29][1900/3405] lr: 2.283e-02, eta: 1 day, 5:59:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9475, loss_cls: 3.6867, loss: 3.6867 2023-12-23 22:22:15,668 - pyskl - INFO - Epoch [29][2000/3405] lr: 2.283e-02, eta: 1 day, 5:59:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9587, loss_cls: 3.6582, loss: 3.6582 2023-12-23 22:22:40,897 - pyskl - INFO - Epoch [29][2100/3405] lr: 2.282e-02, eta: 1 day, 5:58:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9537, loss_cls: 3.6526, loss: 3.6526 2023-12-23 22:23:06,330 - pyskl - INFO - Epoch [29][2200/3405] lr: 2.282e-02, eta: 1 day, 5:58:30, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7700, top5_acc: 0.9519, loss_cls: 3.6645, loss: 3.6645 2023-12-23 22:23:31,564 - pyskl - INFO - Epoch [29][2300/3405] lr: 2.281e-02, eta: 1 day, 5:58:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9550, loss_cls: 3.6887, loss: 3.6887 2023-12-23 22:23:56,804 - pyskl - INFO - Epoch [29][2400/3405] lr: 2.281e-02, eta: 1 day, 5:57:30, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7306, top5_acc: 0.9406, loss_cls: 3.7631, loss: 3.7631 2023-12-23 22:24:22,324 - pyskl - INFO - Epoch [29][2500/3405] lr: 2.280e-02, eta: 1 day, 5:57:02, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7375, top5_acc: 0.9437, loss_cls: 3.7504, loss: 3.7504 2023-12-23 22:24:47,459 - pyskl - INFO - Epoch [29][2600/3405] lr: 2.280e-02, eta: 1 day, 5:56:31, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9544, loss_cls: 3.6793, loss: 3.6793 2023-12-23 22:25:12,448 - pyskl - INFO - Epoch [29][2700/3405] lr: 2.280e-02, eta: 1 day, 5:56:01, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9531, loss_cls: 3.7021, loss: 3.7021 2023-12-23 22:25:37,621 - pyskl - INFO - Epoch [29][2800/3405] lr: 2.279e-02, eta: 1 day, 5:55:31, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9506, loss_cls: 3.6876, loss: 3.6876 2023-12-23 22:26:02,760 - pyskl - INFO - Epoch [29][2900/3405] lr: 2.279e-02, eta: 1 day, 5:55:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9487, loss_cls: 3.7063, loss: 3.7063 2023-12-23 22:26:28,065 - pyskl - INFO - Epoch [29][3000/3405] lr: 2.278e-02, eta: 1 day, 5:54:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9563, loss_cls: 3.6993, loss: 3.6993 2023-12-23 22:26:53,176 - pyskl - INFO - Epoch [29][3100/3405] lr: 2.278e-02, eta: 1 day, 5:54:01, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9537, loss_cls: 3.6889, loss: 3.6889 2023-12-23 22:27:18,202 - pyskl - INFO - Epoch [29][3200/3405] lr: 2.277e-02, eta: 1 day, 5:53:30, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9531, loss_cls: 3.6641, loss: 3.6641 2023-12-23 22:27:43,221 - pyskl - INFO - Epoch [29][3300/3405] lr: 2.277e-02, eta: 1 day, 5:52:59, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7206, top5_acc: 0.9481, loss_cls: 3.7626, loss: 3.7626 2023-12-23 22:28:08,259 - pyskl - INFO - Epoch [29][3400/3405] lr: 2.276e-02, eta: 1 day, 5:52:29, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7350, top5_acc: 0.9487, loss_cls: 3.7284, loss: 3.7284 2023-12-23 22:28:10,138 - pyskl - INFO - Saving checkpoint at 29 epochs 2023-12-23 22:32:34,471 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:32:35,101 - pyskl - INFO - top1_acc 0.6926 top5_acc 0.9270 2023-12-23 22:32:35,138 - pyskl - INFO - Epoch(val) [29][3718] top1_acc: 0.6926, top5_acc: 0.9270 2023-12-23 22:33:28,860 - pyskl - INFO - Epoch [30][100/3405] lr: 2.276e-02, eta: 1 day, 5:53:51, time: 0.537, data_time: 0.283, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9500, loss_cls: 3.6529, loss: 3.6529 2023-12-23 22:33:53,922 - pyskl - INFO - Epoch [30][200/3405] lr: 2.276e-02, eta: 1 day, 5:53:20, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7694, top5_acc: 0.9575, loss_cls: 3.6501, loss: 3.6501 2023-12-23 22:34:19,400 - pyskl - INFO - Epoch [30][300/3405] lr: 2.275e-02, eta: 1 day, 5:52:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9519, loss_cls: 3.6998, loss: 3.6998 2023-12-23 22:34:44,705 - pyskl - INFO - Epoch [30][400/3405] lr: 2.275e-02, eta: 1 day, 5:52:22, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7494, top5_acc: 0.9550, loss_cls: 3.6771, loss: 3.6771 2023-12-23 22:35:10,436 - pyskl - INFO - Epoch [30][500/3405] lr: 2.274e-02, eta: 1 day, 5:51:54, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9550, loss_cls: 3.6901, loss: 3.6901 2023-12-23 22:35:35,943 - pyskl - INFO - Epoch [30][600/3405] lr: 2.274e-02, eta: 1 day, 5:51:26, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9544, loss_cls: 3.6831, loss: 3.6831 2023-12-23 22:36:01,493 - pyskl - INFO - Epoch [30][700/3405] lr: 2.273e-02, eta: 1 day, 5:50:57, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7662, top5_acc: 0.9606, loss_cls: 3.6293, loss: 3.6293 2023-12-23 22:36:26,907 - pyskl - INFO - Epoch [30][800/3405] lr: 2.273e-02, eta: 1 day, 5:50:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9581, loss_cls: 3.6701, loss: 3.6701 2023-12-23 22:36:52,394 - pyskl - INFO - Epoch [30][900/3405] lr: 2.272e-02, eta: 1 day, 5:49:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7494, top5_acc: 0.9487, loss_cls: 3.6922, loss: 3.6922 2023-12-23 22:37:17,863 - pyskl - INFO - Epoch [30][1000/3405] lr: 2.272e-02, eta: 1 day, 5:49:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9444, loss_cls: 3.6811, loss: 3.6811 2023-12-23 22:37:43,057 - pyskl - INFO - Epoch [30][1100/3405] lr: 2.272e-02, eta: 1 day, 5:49:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9619, loss_cls: 3.6218, loss: 3.6218 2023-12-23 22:38:08,546 - pyskl - INFO - Epoch [30][1200/3405] lr: 2.271e-02, eta: 1 day, 5:48:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9563, loss_cls: 3.6387, loss: 3.6387 2023-12-23 22:38:33,991 - pyskl - INFO - Epoch [30][1300/3405] lr: 2.271e-02, eta: 1 day, 5:48:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9431, loss_cls: 3.7062, loss: 3.7062 2023-12-23 22:38:59,526 - pyskl - INFO - Epoch [30][1400/3405] lr: 2.270e-02, eta: 1 day, 5:47:34, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7494, top5_acc: 0.9544, loss_cls: 3.6675, loss: 3.6675 2023-12-23 22:39:25,189 - pyskl - INFO - Epoch [30][1500/3405] lr: 2.270e-02, eta: 1 day, 5:47:06, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9631, loss_cls: 3.6327, loss: 3.6327 2023-12-23 22:39:50,616 - pyskl - INFO - Epoch [30][1600/3405] lr: 2.269e-02, eta: 1 day, 5:46:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7531, top5_acc: 0.9463, loss_cls: 3.6893, loss: 3.6893 2023-12-23 22:40:16,000 - pyskl - INFO - Epoch [30][1700/3405] lr: 2.269e-02, eta: 1 day, 5:46:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7694, top5_acc: 0.9506, loss_cls: 3.6589, loss: 3.6589 2023-12-23 22:40:41,293 - pyskl - INFO - Epoch [30][1800/3405] lr: 2.268e-02, eta: 1 day, 5:45:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9581, loss_cls: 3.6404, loss: 3.6404 2023-12-23 22:41:06,381 - pyskl - INFO - Epoch [30][1900/3405] lr: 2.268e-02, eta: 1 day, 5:45:08, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9494, loss_cls: 3.6645, loss: 3.6645 2023-12-23 22:41:31,571 - pyskl - INFO - Epoch [30][2000/3405] lr: 2.268e-02, eta: 1 day, 5:44:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7488, top5_acc: 0.9575, loss_cls: 3.6831, loss: 3.6831 2023-12-23 22:41:56,672 - pyskl - INFO - Epoch [30][2100/3405] lr: 2.267e-02, eta: 1 day, 5:44:08, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9513, loss_cls: 3.6626, loss: 3.6626 2023-12-23 22:42:21,885 - pyskl - INFO - Epoch [30][2200/3405] lr: 2.267e-02, eta: 1 day, 5:43:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7481, top5_acc: 0.9537, loss_cls: 3.7087, loss: 3.7087 2023-12-23 22:42:47,064 - pyskl - INFO - Epoch [30][2300/3405] lr: 2.266e-02, eta: 1 day, 5:43:08, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9594, loss_cls: 3.6360, loss: 3.6360 2023-12-23 22:43:12,339 - pyskl - INFO - Epoch [30][2400/3405] lr: 2.266e-02, eta: 1 day, 5:42:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7569, top5_acc: 0.9544, loss_cls: 3.6699, loss: 3.6699 2023-12-23 22:43:37,693 - pyskl - INFO - Epoch [30][2500/3405] lr: 2.265e-02, eta: 1 day, 5:42:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9556, loss_cls: 3.6636, loss: 3.6636 2023-12-23 22:44:02,867 - pyskl - INFO - Epoch [30][2600/3405] lr: 2.265e-02, eta: 1 day, 5:41:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7681, top5_acc: 0.9575, loss_cls: 3.6421, loss: 3.6421 2023-12-23 22:44:28,067 - pyskl - INFO - Epoch [30][2700/3405] lr: 2.264e-02, eta: 1 day, 5:41:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7356, top5_acc: 0.9513, loss_cls: 3.7188, loss: 3.7188 2023-12-23 22:44:53,133 - pyskl - INFO - Epoch [30][2800/3405] lr: 2.264e-02, eta: 1 day, 5:40:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7444, top5_acc: 0.9513, loss_cls: 3.7110, loss: 3.7110 2023-12-23 22:45:18,290 - pyskl - INFO - Epoch [30][2900/3405] lr: 2.264e-02, eta: 1 day, 5:40:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9550, loss_cls: 3.6501, loss: 3.6501 2023-12-23 22:45:43,480 - pyskl - INFO - Epoch [30][3000/3405] lr: 2.263e-02, eta: 1 day, 5:39:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9450, loss_cls: 3.6931, loss: 3.6931 2023-12-23 22:46:08,711 - pyskl - INFO - Epoch [30][3100/3405] lr: 2.263e-02, eta: 1 day, 5:39:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9537, loss_cls: 3.6741, loss: 3.6741 2023-12-23 22:46:34,002 - pyskl - INFO - Epoch [30][3200/3405] lr: 2.262e-02, eta: 1 day, 5:38:41, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9513, loss_cls: 3.6963, loss: 3.6963 2023-12-23 22:46:59,285 - pyskl - INFO - Epoch [30][3300/3405] lr: 2.262e-02, eta: 1 day, 5:38:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9506, loss_cls: 3.6774, loss: 3.6774 2023-12-23 22:47:24,649 - pyskl - INFO - Epoch [30][3400/3405] lr: 2.261e-02, eta: 1 day, 5:37:43, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9494, loss_cls: 3.6890, loss: 3.6890 2023-12-23 22:47:26,636 - pyskl - INFO - Saving checkpoint at 30 epochs 2023-12-23 22:51:50,409 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:51:51,029 - pyskl - INFO - top1_acc 0.7051 top5_acc 0.9318 2023-12-23 22:51:51,059 - pyskl - INFO - Epoch(val) [30][3718] top1_acc: 0.7051, top5_acc: 0.9318 2023-12-23 22:52:44,139 - pyskl - INFO - Epoch [31][100/3405] lr: 2.261e-02, eta: 1 day, 5:38:58, time: 0.531, data_time: 0.276, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9531, loss_cls: 3.6706, loss: 3.6706 2023-12-23 22:53:09,487 - pyskl - INFO - Epoch [31][200/3405] lr: 2.260e-02, eta: 1 day, 5:38:28, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9525, loss_cls: 3.6335, loss: 3.6335 2023-12-23 22:53:34,958 - pyskl - INFO - Epoch [31][300/3405] lr: 2.260e-02, eta: 1 day, 5:38:00, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9631, loss_cls: 3.6602, loss: 3.6602 2023-12-23 22:54:00,546 - pyskl - INFO - Epoch [31][400/3405] lr: 2.259e-02, eta: 1 day, 5:37:31, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7362, top5_acc: 0.9444, loss_cls: 3.7428, loss: 3.7428 2023-12-23 22:54:26,451 - pyskl - INFO - Epoch [31][500/3405] lr: 2.259e-02, eta: 1 day, 5:37:04, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7869, top5_acc: 0.9650, loss_cls: 3.5524, loss: 3.5524 2023-12-23 22:54:52,041 - pyskl - INFO - Epoch [31][600/3405] lr: 2.259e-02, eta: 1 day, 5:36:36, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9487, loss_cls: 3.6924, loss: 3.6924 2023-12-23 22:55:17,648 - pyskl - INFO - Epoch [31][700/3405] lr: 2.258e-02, eta: 1 day, 5:36:08, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9469, loss_cls: 3.7202, loss: 3.7202 2023-12-23 22:55:43,158 - pyskl - INFO - Epoch [31][800/3405] lr: 2.258e-02, eta: 1 day, 5:35:39, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7375, top5_acc: 0.9425, loss_cls: 3.7388, loss: 3.7388 2023-12-23 22:56:08,590 - pyskl - INFO - Epoch [31][900/3405] lr: 2.257e-02, eta: 1 day, 5:35:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9600, loss_cls: 3.6353, loss: 3.6353 2023-12-23 22:56:34,172 - pyskl - INFO - Epoch [31][1000/3405] lr: 2.257e-02, eta: 1 day, 5:34:42, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7844, top5_acc: 0.9650, loss_cls: 3.6086, loss: 3.6086 2023-12-23 22:56:59,455 - pyskl - INFO - Epoch [31][1100/3405] lr: 2.256e-02, eta: 1 day, 5:34:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7712, top5_acc: 0.9587, loss_cls: 3.6294, loss: 3.6294 2023-12-23 22:57:25,146 - pyskl - INFO - Epoch [31][1200/3405] lr: 2.256e-02, eta: 1 day, 5:33:45, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9631, loss_cls: 3.6277, loss: 3.6277 2023-12-23 22:57:50,882 - pyskl - INFO - Epoch [31][1300/3405] lr: 2.255e-02, eta: 1 day, 5:33:17, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9587, loss_cls: 3.7054, loss: 3.7054 2023-12-23 22:58:16,589 - pyskl - INFO - Epoch [31][1400/3405] lr: 2.255e-02, eta: 1 day, 5:32:49, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9594, loss_cls: 3.6825, loss: 3.6825 2023-12-23 22:58:42,376 - pyskl - INFO - Epoch [31][1500/3405] lr: 2.254e-02, eta: 1 day, 5:32:22, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7412, top5_acc: 0.9494, loss_cls: 3.7214, loss: 3.7214 2023-12-23 22:59:07,941 - pyskl - INFO - Epoch [31][1600/3405] lr: 2.254e-02, eta: 1 day, 5:31:54, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9537, loss_cls: 3.6472, loss: 3.6472 2023-12-23 22:59:33,579 - pyskl - INFO - Epoch [31][1700/3405] lr: 2.254e-02, eta: 1 day, 5:31:26, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7400, top5_acc: 0.9463, loss_cls: 3.7355, loss: 3.7355 2023-12-23 22:59:58,888 - pyskl - INFO - Epoch [31][1800/3405] lr: 2.253e-02, eta: 1 day, 5:30:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7256, top5_acc: 0.9456, loss_cls: 3.7694, loss: 3.7694 2023-12-23 23:00:24,470 - pyskl - INFO - Epoch [31][1900/3405] lr: 2.253e-02, eta: 1 day, 5:30:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7356, top5_acc: 0.9475, loss_cls: 3.7236, loss: 3.7236 2023-12-23 23:00:49,817 - pyskl - INFO - Epoch [31][2000/3405] lr: 2.252e-02, eta: 1 day, 5:29:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7394, top5_acc: 0.9487, loss_cls: 3.7095, loss: 3.7095 2023-12-23 23:01:15,435 - pyskl - INFO - Epoch [31][2100/3405] lr: 2.252e-02, eta: 1 day, 5:29:31, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9550, loss_cls: 3.6885, loss: 3.6885 2023-12-23 23:01:40,921 - pyskl - INFO - Epoch [31][2200/3405] lr: 2.251e-02, eta: 1 day, 5:29:02, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7569, top5_acc: 0.9606, loss_cls: 3.6416, loss: 3.6416 2023-12-23 23:02:06,316 - pyskl - INFO - Epoch [31][2300/3405] lr: 2.251e-02, eta: 1 day, 5:28:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7394, top5_acc: 0.9469, loss_cls: 3.7234, loss: 3.7234 2023-12-23 23:02:31,709 - pyskl - INFO - Epoch [31][2400/3405] lr: 2.250e-02, eta: 1 day, 5:28:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9581, loss_cls: 3.6494, loss: 3.6494 2023-12-23 23:02:57,379 - pyskl - INFO - Epoch [31][2500/3405] lr: 2.250e-02, eta: 1 day, 5:27:37, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9625, loss_cls: 3.6378, loss: 3.6378 2023-12-23 23:03:22,830 - pyskl - INFO - Epoch [31][2600/3405] lr: 2.249e-02, eta: 1 day, 5:27:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9550, loss_cls: 3.6696, loss: 3.6696 2023-12-23 23:03:48,269 - pyskl - INFO - Epoch [31][2700/3405] lr: 2.249e-02, eta: 1 day, 5:26:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7331, top5_acc: 0.9450, loss_cls: 3.7413, loss: 3.7413 2023-12-23 23:04:13,689 - pyskl - INFO - Epoch [31][2800/3405] lr: 2.248e-02, eta: 1 day, 5:26:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7362, top5_acc: 0.9444, loss_cls: 3.7543, loss: 3.7543 2023-12-23 23:04:39,085 - pyskl - INFO - Epoch [31][2900/3405] lr: 2.248e-02, eta: 1 day, 5:25:42, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9550, loss_cls: 3.7049, loss: 3.7049 2023-12-23 23:05:04,510 - pyskl - INFO - Epoch [31][3000/3405] lr: 2.248e-02, eta: 1 day, 5:25:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9537, loss_cls: 3.6427, loss: 3.6427 2023-12-23 23:05:30,033 - pyskl - INFO - Epoch [31][3100/3405] lr: 2.247e-02, eta: 1 day, 5:24:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9637, loss_cls: 3.6381, loss: 3.6381 2023-12-23 23:05:55,542 - pyskl - INFO - Epoch [31][3200/3405] lr: 2.247e-02, eta: 1 day, 5:24:16, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9544, loss_cls: 3.6641, loss: 3.6641 2023-12-23 23:06:21,070 - pyskl - INFO - Epoch [31][3300/3405] lr: 2.246e-02, eta: 1 day, 5:23:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7681, top5_acc: 0.9463, loss_cls: 3.6992, loss: 3.6992 2023-12-23 23:06:46,869 - pyskl - INFO - Epoch [31][3400/3405] lr: 2.246e-02, eta: 1 day, 5:23:20, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9531, loss_cls: 3.6655, loss: 3.6655 2023-12-23 23:06:49,052 - pyskl - INFO - Saving checkpoint at 31 epochs 2023-12-23 23:11:13,238 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:11:13,844 - pyskl - INFO - top1_acc 0.7093 top5_acc 0.9303 2023-12-23 23:11:13,869 - pyskl - INFO - Epoch(val) [31][3718] top1_acc: 0.7093, top5_acc: 0.9303 2023-12-23 23:12:06,236 - pyskl - INFO - Epoch [32][100/3405] lr: 2.245e-02, eta: 1 day, 5:24:28, time: 0.524, data_time: 0.272, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9563, loss_cls: 3.6308, loss: 3.6308 2023-12-23 23:12:31,626 - pyskl - INFO - Epoch [32][200/3405] lr: 2.245e-02, eta: 1 day, 5:23:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9575, loss_cls: 3.6558, loss: 3.6558 2023-12-23 23:12:57,171 - pyskl - INFO - Epoch [32][300/3405] lr: 2.244e-02, eta: 1 day, 5:23:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9556, loss_cls: 3.6672, loss: 3.6672 2023-12-23 23:13:22,577 - pyskl - INFO - Epoch [32][400/3405] lr: 2.244e-02, eta: 1 day, 5:23:02, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9606, loss_cls: 3.6281, loss: 3.6281 2023-12-23 23:13:48,300 - pyskl - INFO - Epoch [32][500/3405] lr: 2.243e-02, eta: 1 day, 5:22:34, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7469, top5_acc: 0.9581, loss_cls: 3.6928, loss: 3.6928 2023-12-23 23:14:14,208 - pyskl - INFO - Epoch [32][600/3405] lr: 2.243e-02, eta: 1 day, 5:22:08, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7412, top5_acc: 0.9456, loss_cls: 3.7317, loss: 3.7317 2023-12-23 23:14:39,772 - pyskl - INFO - Epoch [32][700/3405] lr: 2.242e-02, eta: 1 day, 5:21:39, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9613, loss_cls: 3.6077, loss: 3.6077 2023-12-23 23:15:05,414 - pyskl - INFO - Epoch [32][800/3405] lr: 2.242e-02, eta: 1 day, 5:21:11, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9575, loss_cls: 3.6738, loss: 3.6738 2023-12-23 23:15:30,828 - pyskl - INFO - Epoch [32][900/3405] lr: 2.241e-02, eta: 1 day, 5:20:42, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7356, top5_acc: 0.9513, loss_cls: 3.7499, loss: 3.7499 2023-12-23 23:15:56,462 - pyskl - INFO - Epoch [32][1000/3405] lr: 2.241e-02, eta: 1 day, 5:20:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7344, top5_acc: 0.9487, loss_cls: 3.7671, loss: 3.7671 2023-12-23 23:16:22,068 - pyskl - INFO - Epoch [32][1100/3405] lr: 2.241e-02, eta: 1 day, 5:19:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7638, top5_acc: 0.9444, loss_cls: 3.7116, loss: 3.7116 2023-12-23 23:16:47,925 - pyskl - INFO - Epoch [32][1200/3405] lr: 2.240e-02, eta: 1 day, 5:19:19, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7231, top5_acc: 0.9544, loss_cls: 3.7265, loss: 3.7265 2023-12-23 23:17:13,494 - pyskl - INFO - Epoch [32][1300/3405] lr: 2.240e-02, eta: 1 day, 5:18:51, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9531, loss_cls: 3.6709, loss: 3.6709 2023-12-23 23:17:39,037 - pyskl - INFO - Epoch [32][1400/3405] lr: 2.239e-02, eta: 1 day, 5:18:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9613, loss_cls: 3.6473, loss: 3.6473 2023-12-23 23:18:04,716 - pyskl - INFO - Epoch [32][1500/3405] lr: 2.239e-02, eta: 1 day, 5:17:55, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7512, top5_acc: 0.9463, loss_cls: 3.6783, loss: 3.6783 2023-12-23 23:18:30,343 - pyskl - INFO - Epoch [32][1600/3405] lr: 2.238e-02, eta: 1 day, 5:17:27, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9656, loss_cls: 3.6540, loss: 3.6540 2023-12-23 23:18:55,803 - pyskl - INFO - Epoch [32][1700/3405] lr: 2.238e-02, eta: 1 day, 5:16:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9463, loss_cls: 3.6642, loss: 3.6642 2023-12-23 23:19:21,337 - pyskl - INFO - Epoch [32][1800/3405] lr: 2.237e-02, eta: 1 day, 5:16:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9475, loss_cls: 3.6976, loss: 3.6976 2023-12-23 23:19:46,805 - pyskl - INFO - Epoch [32][1900/3405] lr: 2.237e-02, eta: 1 day, 5:16:01, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7475, top5_acc: 0.9444, loss_cls: 3.7147, loss: 3.7147 2023-12-23 23:20:12,284 - pyskl - INFO - Epoch [32][2000/3405] lr: 2.236e-02, eta: 1 day, 5:15:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9513, loss_cls: 3.6786, loss: 3.6786 2023-12-23 23:20:37,605 - pyskl - INFO - Epoch [32][2100/3405] lr: 2.236e-02, eta: 1 day, 5:15:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7481, top5_acc: 0.9550, loss_cls: 3.7068, loss: 3.7068 2023-12-23 23:21:02,789 - pyskl - INFO - Epoch [32][2200/3405] lr: 2.235e-02, eta: 1 day, 5:14:34, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9644, loss_cls: 3.6271, loss: 3.6271 2023-12-23 23:21:28,186 - pyskl - INFO - Epoch [32][2300/3405] lr: 2.235e-02, eta: 1 day, 5:14:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7275, top5_acc: 0.9469, loss_cls: 3.7449, loss: 3.7449 2023-12-23 23:21:53,778 - pyskl - INFO - Epoch [32][2400/3405] lr: 2.234e-02, eta: 1 day, 5:13:37, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7469, top5_acc: 0.9506, loss_cls: 3.7056, loss: 3.7056 2023-12-23 23:22:19,206 - pyskl - INFO - Epoch [32][2500/3405] lr: 2.234e-02, eta: 1 day, 5:13:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9487, loss_cls: 3.6525, loss: 3.6525 2023-12-23 23:22:44,276 - pyskl - INFO - Epoch [32][2600/3405] lr: 2.233e-02, eta: 1 day, 5:12:38, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9425, loss_cls: 3.7243, loss: 3.7243 2023-12-23 23:23:09,288 - pyskl - INFO - Epoch [32][2700/3405] lr: 2.233e-02, eta: 1 day, 5:12:08, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9537, loss_cls: 3.6634, loss: 3.6634 2023-12-23 23:23:34,547 - pyskl - INFO - Epoch [32][2800/3405] lr: 2.233e-02, eta: 1 day, 5:11:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7531, top5_acc: 0.9400, loss_cls: 3.7146, loss: 3.7146 2023-12-23 23:23:59,876 - pyskl - INFO - Epoch [32][2900/3405] lr: 2.232e-02, eta: 1 day, 5:11:09, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9519, loss_cls: 3.6786, loss: 3.6786 2023-12-23 23:24:25,378 - pyskl - INFO - Epoch [32][3000/3405] lr: 2.232e-02, eta: 1 day, 5:10:41, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9531, loss_cls: 3.6729, loss: 3.6729 2023-12-23 23:24:50,906 - pyskl - INFO - Epoch [32][3100/3405] lr: 2.231e-02, eta: 1 day, 5:10:13, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7788, top5_acc: 0.9537, loss_cls: 3.6254, loss: 3.6254 2023-12-23 23:25:16,188 - pyskl - INFO - Epoch [32][3200/3405] lr: 2.231e-02, eta: 1 day, 5:09:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7837, top5_acc: 0.9675, loss_cls: 3.5746, loss: 3.5746 2023-12-23 23:25:41,579 - pyskl - INFO - Epoch [32][3300/3405] lr: 2.230e-02, eta: 1 day, 5:09:15, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7531, top5_acc: 0.9463, loss_cls: 3.6912, loss: 3.6912 2023-12-23 23:26:06,572 - pyskl - INFO - Epoch [32][3400/3405] lr: 2.230e-02, eta: 1 day, 5:08:44, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9494, loss_cls: 3.6634, loss: 3.6634 2023-12-23 23:26:08,753 - pyskl - INFO - Saving checkpoint at 32 epochs 2023-12-23 23:30:33,129 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:30:33,738 - pyskl - INFO - top1_acc 0.7430 top5_acc 0.9461 2023-12-23 23:30:33,743 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_23.pth was removed 2023-12-23 23:30:33,952 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. 2023-12-23 23:30:33,953 - pyskl - INFO - Best top1_acc is 0.7430 at 32 epoch. 2023-12-23 23:30:33,980 - pyskl - INFO - Epoch(val) [32][3718] top1_acc: 0.7430, top5_acc: 0.9461 2023-12-23 23:31:26,337 - pyskl - INFO - Epoch [33][100/3405] lr: 2.229e-02, eta: 1 day, 5:09:49, time: 0.523, data_time: 0.272, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9581, loss_cls: 3.6153, loss: 3.6153 2023-12-23 23:31:51,865 - pyskl - INFO - Epoch [33][200/3405] lr: 2.229e-02, eta: 1 day, 5:09:20, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9669, loss_cls: 3.5755, loss: 3.5755 2023-12-23 23:32:17,552 - pyskl - INFO - Epoch [33][300/3405] lr: 2.228e-02, eta: 1 day, 5:08:53, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7712, top5_acc: 0.9600, loss_cls: 3.6093, loss: 3.6093 2023-12-23 23:32:43,135 - pyskl - INFO - Epoch [33][400/3405] lr: 2.228e-02, eta: 1 day, 5:08:25, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7694, top5_acc: 0.9600, loss_cls: 3.6245, loss: 3.6245 2023-12-23 23:33:08,773 - pyskl - INFO - Epoch [33][500/3405] lr: 2.227e-02, eta: 1 day, 5:07:57, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9531, loss_cls: 3.6690, loss: 3.6690 2023-12-23 23:33:34,453 - pyskl - INFO - Epoch [33][600/3405] lr: 2.227e-02, eta: 1 day, 5:07:29, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9594, loss_cls: 3.6370, loss: 3.6370 2023-12-23 23:34:00,098 - pyskl - INFO - Epoch [33][700/3405] lr: 2.226e-02, eta: 1 day, 5:07:01, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9494, loss_cls: 3.6935, loss: 3.6935 2023-12-23 23:34:25,696 - pyskl - INFO - Epoch [33][800/3405] lr: 2.226e-02, eta: 1 day, 5:06:33, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9519, loss_cls: 3.6636, loss: 3.6636 2023-12-23 23:34:51,446 - pyskl - INFO - Epoch [33][900/3405] lr: 2.225e-02, eta: 1 day, 5:06:05, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9575, loss_cls: 3.6206, loss: 3.6206 2023-12-23 23:35:17,046 - pyskl - INFO - Epoch [33][1000/3405] lr: 2.225e-02, eta: 1 day, 5:05:37, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7756, top5_acc: 0.9587, loss_cls: 3.6295, loss: 3.6295 2023-12-23 23:35:42,694 - pyskl - INFO - Epoch [33][1100/3405] lr: 2.224e-02, eta: 1 day, 5:05:09, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7388, top5_acc: 0.9531, loss_cls: 3.6869, loss: 3.6869 2023-12-23 23:36:08,289 - pyskl - INFO - Epoch [33][1200/3405] lr: 2.224e-02, eta: 1 day, 5:04:41, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7394, top5_acc: 0.9500, loss_cls: 3.7126, loss: 3.7126 2023-12-23 23:36:33,951 - pyskl - INFO - Epoch [33][1300/3405] lr: 2.223e-02, eta: 1 day, 5:04:13, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9506, loss_cls: 3.6532, loss: 3.6532 2023-12-23 23:36:59,413 - pyskl - INFO - Epoch [33][1400/3405] lr: 2.223e-02, eta: 1 day, 5:03:45, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7869, top5_acc: 0.9625, loss_cls: 3.5841, loss: 3.5841 2023-12-23 23:37:24,728 - pyskl - INFO - Epoch [33][1500/3405] lr: 2.222e-02, eta: 1 day, 5:03:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9650, loss_cls: 3.6255, loss: 3.6255 2023-12-23 23:37:50,237 - pyskl - INFO - Epoch [33][1600/3405] lr: 2.222e-02, eta: 1 day, 5:02:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9569, loss_cls: 3.6609, loss: 3.6609 2023-12-23 23:38:15,305 - pyskl - INFO - Epoch [33][1700/3405] lr: 2.221e-02, eta: 1 day, 5:02:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7725, top5_acc: 0.9525, loss_cls: 3.6512, loss: 3.6512 2023-12-23 23:38:40,770 - pyskl - INFO - Epoch [33][1800/3405] lr: 2.221e-02, eta: 1 day, 5:01:49, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7569, top5_acc: 0.9494, loss_cls: 3.6630, loss: 3.6630 2023-12-23 23:39:06,185 - pyskl - INFO - Epoch [33][1900/3405] lr: 2.220e-02, eta: 1 day, 5:01:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9625, loss_cls: 3.6031, loss: 3.6031 2023-12-23 23:39:31,612 - pyskl - INFO - Epoch [33][2000/3405] lr: 2.220e-02, eta: 1 day, 5:00:51, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7681, top5_acc: 0.9525, loss_cls: 3.6562, loss: 3.6562 2023-12-23 23:39:56,919 - pyskl - INFO - Epoch [33][2100/3405] lr: 2.220e-02, eta: 1 day, 5:00:22, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7400, top5_acc: 0.9550, loss_cls: 3.7058, loss: 3.7058 2023-12-23 23:40:22,353 - pyskl - INFO - Epoch [33][2200/3405] lr: 2.219e-02, eta: 1 day, 4:59:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9544, loss_cls: 3.6592, loss: 3.6592 2023-12-23 23:40:47,771 - pyskl - INFO - Epoch [33][2300/3405] lr: 2.219e-02, eta: 1 day, 4:59:25, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7188, top5_acc: 0.9437, loss_cls: 3.7692, loss: 3.7692 2023-12-23 23:41:13,054 - pyskl - INFO - Epoch [33][2400/3405] lr: 2.218e-02, eta: 1 day, 4:58:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9563, loss_cls: 3.6387, loss: 3.6387 2023-12-23 23:41:38,035 - pyskl - INFO - Epoch [33][2500/3405] lr: 2.218e-02, eta: 1 day, 4:58:26, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9575, loss_cls: 3.6461, loss: 3.6461 2023-12-23 23:42:03,037 - pyskl - INFO - Epoch [33][2600/3405] lr: 2.217e-02, eta: 1 day, 4:57:56, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9537, loss_cls: 3.6969, loss: 3.6969 2023-12-23 23:42:28,055 - pyskl - INFO - Epoch [33][2700/3405] lr: 2.217e-02, eta: 1 day, 4:57:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7700, top5_acc: 0.9556, loss_cls: 3.6500, loss: 3.6500 2023-12-23 23:42:53,402 - pyskl - INFO - Epoch [33][2800/3405] lr: 2.216e-02, eta: 1 day, 4:56:57, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9569, loss_cls: 3.6532, loss: 3.6532 2023-12-23 23:43:18,944 - pyskl - INFO - Epoch [33][2900/3405] lr: 2.216e-02, eta: 1 day, 4:56:28, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9425, loss_cls: 3.7321, loss: 3.7321 2023-12-23 23:43:44,214 - pyskl - INFO - Epoch [33][3000/3405] lr: 2.215e-02, eta: 1 day, 4:55:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7756, top5_acc: 0.9531, loss_cls: 3.6137, loss: 3.6137 2023-12-23 23:44:09,524 - pyskl - INFO - Epoch [33][3100/3405] lr: 2.215e-02, eta: 1 day, 4:55:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9519, loss_cls: 3.6785, loss: 3.6785 2023-12-23 23:44:34,968 - pyskl - INFO - Epoch [33][3200/3405] lr: 2.214e-02, eta: 1 day, 4:55:02, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7406, top5_acc: 0.9419, loss_cls: 3.7445, loss: 3.7445 2023-12-23 23:45:00,303 - pyskl - INFO - Epoch [33][3300/3405] lr: 2.214e-02, eta: 1 day, 4:54:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7488, top5_acc: 0.9437, loss_cls: 3.7259, loss: 3.7259 2023-12-23 23:45:25,651 - pyskl - INFO - Epoch [33][3400/3405] lr: 2.213e-02, eta: 1 day, 4:54:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7456, top5_acc: 0.9481, loss_cls: 3.7112, loss: 3.7112 2023-12-23 23:45:27,637 - pyskl - INFO - Saving checkpoint at 33 epochs 2023-12-23 23:49:51,046 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:49:51,649 - pyskl - INFO - top1_acc 0.7367 top5_acc 0.9388 2023-12-23 23:49:51,676 - pyskl - INFO - Epoch(val) [33][3718] top1_acc: 0.7367, top5_acc: 0.9388 2023-12-23 23:50:43,826 - pyskl - INFO - Epoch [34][100/3405] lr: 2.213e-02, eta: 1 day, 4:55:04, time: 0.521, data_time: 0.268, memory: 5236, top1_acc: 0.7538, top5_acc: 0.9587, loss_cls: 3.6452, loss: 3.6452 2023-12-23 23:51:09,163 - pyskl - INFO - Epoch [34][200/3405] lr: 2.212e-02, eta: 1 day, 4:54:35, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9606, loss_cls: 3.6356, loss: 3.6356 2023-12-23 23:51:34,549 - pyskl - INFO - Epoch [34][300/3405] lr: 2.212e-02, eta: 1 day, 4:54:06, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9550, loss_cls: 3.6686, loss: 3.6686 2023-12-23 23:52:00,096 - pyskl - INFO - Epoch [34][400/3405] lr: 2.211e-02, eta: 1 day, 4:53:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9581, loss_cls: 3.6759, loss: 3.6759 2023-12-23 23:52:25,396 - pyskl - INFO - Epoch [34][500/3405] lr: 2.211e-02, eta: 1 day, 4:53:09, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9619, loss_cls: 3.6443, loss: 3.6443 2023-12-23 23:52:51,107 - pyskl - INFO - Epoch [34][600/3405] lr: 2.210e-02, eta: 1 day, 4:52:41, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7662, top5_acc: 0.9481, loss_cls: 3.6791, loss: 3.6791 2023-12-23 23:53:16,802 - pyskl - INFO - Epoch [34][700/3405] lr: 2.210e-02, eta: 1 day, 4:52:14, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9525, loss_cls: 3.6330, loss: 3.6330 2023-12-23 23:53:42,360 - pyskl - INFO - Epoch [34][800/3405] lr: 2.209e-02, eta: 1 day, 4:51:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9531, loss_cls: 3.6720, loss: 3.6720 2023-12-23 23:54:08,037 - pyskl - INFO - Epoch [34][900/3405] lr: 2.209e-02, eta: 1 day, 4:51:18, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7756, top5_acc: 0.9581, loss_cls: 3.6291, loss: 3.6291 2023-12-23 23:54:33,885 - pyskl - INFO - Epoch [34][1000/3405] lr: 2.208e-02, eta: 1 day, 4:50:51, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9563, loss_cls: 3.6455, loss: 3.6455 2023-12-23 23:54:59,420 - pyskl - INFO - Epoch [34][1100/3405] lr: 2.208e-02, eta: 1 day, 4:50:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9631, loss_cls: 3.5890, loss: 3.5890 2023-12-23 23:55:25,080 - pyskl - INFO - Epoch [34][1200/3405] lr: 2.207e-02, eta: 1 day, 4:49:55, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9575, loss_cls: 3.6094, loss: 3.6094 2023-12-23 23:55:50,681 - pyskl - INFO - Epoch [34][1300/3405] lr: 2.207e-02, eta: 1 day, 4:49:27, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7662, top5_acc: 0.9544, loss_cls: 3.6322, loss: 3.6322 2023-12-23 23:56:16,173 - pyskl - INFO - Epoch [34][1400/3405] lr: 2.206e-02, eta: 1 day, 4:48:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9531, loss_cls: 3.6788, loss: 3.6788 2023-12-23 23:56:41,446 - pyskl - INFO - Epoch [34][1500/3405] lr: 2.206e-02, eta: 1 day, 4:48:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9544, loss_cls: 3.6763, loss: 3.6763 2023-12-23 23:57:06,830 - pyskl - INFO - Epoch [34][1600/3405] lr: 2.205e-02, eta: 1 day, 4:48:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9537, loss_cls: 3.6931, loss: 3.6931 2023-12-23 23:57:32,314 - pyskl - INFO - Epoch [34][1700/3405] lr: 2.205e-02, eta: 1 day, 4:47:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9587, loss_cls: 3.6308, loss: 3.6308 2023-12-23 23:57:57,653 - pyskl - INFO - Epoch [34][1800/3405] lr: 2.204e-02, eta: 1 day, 4:47:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9556, loss_cls: 3.6650, loss: 3.6650 2023-12-23 23:58:22,981 - pyskl - INFO - Epoch [34][1900/3405] lr: 2.204e-02, eta: 1 day, 4:46:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9519, loss_cls: 3.6564, loss: 3.6564 2023-12-23 23:58:48,210 - pyskl - INFO - Epoch [34][2000/3405] lr: 2.203e-02, eta: 1 day, 4:46:05, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9569, loss_cls: 3.6597, loss: 3.6597 2023-12-23 23:59:13,573 - pyskl - INFO - Epoch [34][2100/3405] lr: 2.203e-02, eta: 1 day, 4:45:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7494, top5_acc: 0.9525, loss_cls: 3.6751, loss: 3.6751 2023-12-23 23:59:38,813 - pyskl - INFO - Epoch [34][2200/3405] lr: 2.202e-02, eta: 1 day, 4:45:07, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9444, loss_cls: 3.6839, loss: 3.6839 2023-12-24 00:00:04,132 - pyskl - INFO - Epoch [34][2300/3405] lr: 2.202e-02, eta: 1 day, 4:44:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9569, loss_cls: 3.6486, loss: 3.6486 2023-12-24 00:00:29,514 - pyskl - INFO - Epoch [34][2400/3405] lr: 2.201e-02, eta: 1 day, 4:44:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9494, loss_cls: 3.6882, loss: 3.6882 2023-12-24 00:00:54,657 - pyskl - INFO - Epoch [34][2500/3405] lr: 2.201e-02, eta: 1 day, 4:43:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7331, top5_acc: 0.9437, loss_cls: 3.7163, loss: 3.7163 2023-12-24 00:01:19,817 - pyskl - INFO - Epoch [34][2600/3405] lr: 2.200e-02, eta: 1 day, 4:43:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9681, loss_cls: 3.6368, loss: 3.6368 2023-12-24 00:01:45,053 - pyskl - INFO - Epoch [34][2700/3405] lr: 2.200e-02, eta: 1 day, 4:42:41, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9500, loss_cls: 3.7247, loss: 3.7247 2023-12-24 00:02:10,404 - pyskl - INFO - Epoch [34][2800/3405] lr: 2.199e-02, eta: 1 day, 4:42:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9475, loss_cls: 3.6409, loss: 3.6409 2023-12-24 00:02:35,795 - pyskl - INFO - Epoch [34][2900/3405] lr: 2.199e-02, eta: 1 day, 4:41:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9450, loss_cls: 3.6659, loss: 3.6659 2023-12-24 00:03:01,086 - pyskl - INFO - Epoch [34][3000/3405] lr: 2.198e-02, eta: 1 day, 4:41:15, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9575, loss_cls: 3.6610, loss: 3.6610 2023-12-24 00:03:26,565 - pyskl - INFO - Epoch [34][3100/3405] lr: 2.198e-02, eta: 1 day, 4:40:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9575, loss_cls: 3.6899, loss: 3.6899 2023-12-24 00:03:51,840 - pyskl - INFO - Epoch [34][3200/3405] lr: 2.197e-02, eta: 1 day, 4:40:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7681, top5_acc: 0.9581, loss_cls: 3.6395, loss: 3.6395 2023-12-24 00:04:17,123 - pyskl - INFO - Epoch [34][3300/3405] lr: 2.197e-02, eta: 1 day, 4:39:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9606, loss_cls: 3.6724, loss: 3.6724 2023-12-24 00:04:42,305 - pyskl - INFO - Epoch [34][3400/3405] lr: 2.196e-02, eta: 1 day, 4:39:19, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9556, loss_cls: 3.6468, loss: 3.6468 2023-12-24 00:04:44,359 - pyskl - INFO - Saving checkpoint at 34 epochs 2023-12-24 00:09:08,353 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:09:08,954 - pyskl - INFO - top1_acc 0.7060 top5_acc 0.9261 2023-12-24 00:09:08,979 - pyskl - INFO - Epoch(val) [34][3718] top1_acc: 0.7060, top5_acc: 0.9261 2023-12-24 00:10:01,237 - pyskl - INFO - Epoch [35][100/3405] lr: 2.196e-02, eta: 1 day, 4:40:16, time: 0.522, data_time: 0.275, memory: 5236, top1_acc: 0.7931, top5_acc: 0.9581, loss_cls: 3.5758, loss: 3.5758 2023-12-24 00:10:26,411 - pyskl - INFO - Epoch [35][200/3405] lr: 2.195e-02, eta: 1 day, 4:39:47, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9569, loss_cls: 3.6074, loss: 3.6074 2023-12-24 00:10:51,811 - pyskl - INFO - Epoch [35][300/3405] lr: 2.195e-02, eta: 1 day, 4:39:18, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7638, top5_acc: 0.9563, loss_cls: 3.6237, loss: 3.6237 2023-12-24 00:11:17,226 - pyskl - INFO - Epoch [35][400/3405] lr: 2.194e-02, eta: 1 day, 4:38:50, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9531, loss_cls: 3.6631, loss: 3.6631 2023-12-24 00:11:42,545 - pyskl - INFO - Epoch [35][500/3405] lr: 2.194e-02, eta: 1 day, 4:38:21, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9556, loss_cls: 3.5988, loss: 3.5988 2023-12-24 00:12:08,096 - pyskl - INFO - Epoch [35][600/3405] lr: 2.193e-02, eta: 1 day, 4:37:53, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9637, loss_cls: 3.6527, loss: 3.6527 2023-12-24 00:12:33,552 - pyskl - INFO - Epoch [35][700/3405] lr: 2.193e-02, eta: 1 day, 4:37:24, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7788, top5_acc: 0.9600, loss_cls: 3.5991, loss: 3.5991 2023-12-24 00:12:59,242 - pyskl - INFO - Epoch [35][800/3405] lr: 2.192e-02, eta: 1 day, 4:36:57, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9600, loss_cls: 3.6317, loss: 3.6317 2023-12-24 00:13:24,859 - pyskl - INFO - Epoch [35][900/3405] lr: 2.192e-02, eta: 1 day, 4:36:29, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7694, top5_acc: 0.9613, loss_cls: 3.6189, loss: 3.6189 2023-12-24 00:13:50,650 - pyskl - INFO - Epoch [35][1000/3405] lr: 2.191e-02, eta: 1 day, 4:36:01, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9556, loss_cls: 3.5923, loss: 3.5923 2023-12-24 00:14:15,812 - pyskl - INFO - Epoch [35][1100/3405] lr: 2.191e-02, eta: 1 day, 4:35:32, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9625, loss_cls: 3.6303, loss: 3.6303 2023-12-24 00:14:41,483 - pyskl - INFO - Epoch [35][1200/3405] lr: 2.190e-02, eta: 1 day, 4:35:04, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9563, loss_cls: 3.6537, loss: 3.6537 2023-12-24 00:15:07,044 - pyskl - INFO - Epoch [35][1300/3405] lr: 2.190e-02, eta: 1 day, 4:34:36, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9431, loss_cls: 3.6822, loss: 3.6822 2023-12-24 00:15:32,885 - pyskl - INFO - Epoch [35][1400/3405] lr: 2.189e-02, eta: 1 day, 4:34:09, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9563, loss_cls: 3.6566, loss: 3.6566 2023-12-24 00:15:58,181 - pyskl - INFO - Epoch [35][1500/3405] lr: 2.189e-02, eta: 1 day, 4:33:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9487, loss_cls: 3.6965, loss: 3.6965 2023-12-24 00:16:23,679 - pyskl - INFO - Epoch [35][1600/3405] lr: 2.188e-02, eta: 1 day, 4:33:12, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7700, top5_acc: 0.9594, loss_cls: 3.6224, loss: 3.6224 2023-12-24 00:16:49,597 - pyskl - INFO - Epoch [35][1700/3405] lr: 2.188e-02, eta: 1 day, 4:32:45, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9519, loss_cls: 3.6959, loss: 3.6959 2023-12-24 00:17:14,783 - pyskl - INFO - Epoch [35][1800/3405] lr: 2.187e-02, eta: 1 day, 4:32:16, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7431, top5_acc: 0.9463, loss_cls: 3.7413, loss: 3.7413 2023-12-24 00:17:40,305 - pyskl - INFO - Epoch [35][1900/3405] lr: 2.187e-02, eta: 1 day, 4:31:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9544, loss_cls: 3.6407, loss: 3.6407 2023-12-24 00:18:05,784 - pyskl - INFO - Epoch [35][2000/3405] lr: 2.186e-02, eta: 1 day, 4:31:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9619, loss_cls: 3.6539, loss: 3.6539 2023-12-24 00:18:31,230 - pyskl - INFO - Epoch [35][2100/3405] lr: 2.186e-02, eta: 1 day, 4:30:51, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7425, top5_acc: 0.9456, loss_cls: 3.7155, loss: 3.7155 2023-12-24 00:18:56,548 - pyskl - INFO - Epoch [35][2200/3405] lr: 2.185e-02, eta: 1 day, 4:30:22, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9563, loss_cls: 3.6528, loss: 3.6528 2023-12-24 00:19:21,532 - pyskl - INFO - Epoch [35][2300/3405] lr: 2.185e-02, eta: 1 day, 4:29:52, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9531, loss_cls: 3.6017, loss: 3.6017 2023-12-24 00:19:46,498 - pyskl - INFO - Epoch [35][2400/3405] lr: 2.184e-02, eta: 1 day, 4:29:22, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7419, top5_acc: 0.9431, loss_cls: 3.7262, loss: 3.7262 2023-12-24 00:20:11,472 - pyskl - INFO - Epoch [35][2500/3405] lr: 2.184e-02, eta: 1 day, 4:28:52, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9656, loss_cls: 3.6198, loss: 3.6198 2023-12-24 00:20:36,448 - pyskl - INFO - Epoch [35][2600/3405] lr: 2.183e-02, eta: 1 day, 4:28:22, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9431, loss_cls: 3.7174, loss: 3.7174 2023-12-24 00:21:01,442 - pyskl - INFO - Epoch [35][2700/3405] lr: 2.183e-02, eta: 1 day, 4:27:52, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9619, loss_cls: 3.6451, loss: 3.6451 2023-12-24 00:21:26,418 - pyskl - INFO - Epoch [35][2800/3405] lr: 2.182e-02, eta: 1 day, 4:27:23, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9469, loss_cls: 3.6651, loss: 3.6651 2023-12-24 00:21:51,386 - pyskl - INFO - Epoch [35][2900/3405] lr: 2.182e-02, eta: 1 day, 4:26:53, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9556, loss_cls: 3.6282, loss: 3.6282 2023-12-24 00:22:16,379 - pyskl - INFO - Epoch [35][3000/3405] lr: 2.181e-02, eta: 1 day, 4:26:23, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7500, top5_acc: 0.9506, loss_cls: 3.7156, loss: 3.7156 2023-12-24 00:22:41,392 - pyskl - INFO - Epoch [35][3100/3405] lr: 2.181e-02, eta: 1 day, 4:25:53, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7575, top5_acc: 0.9644, loss_cls: 3.6298, loss: 3.6298 2023-12-24 00:23:06,408 - pyskl - INFO - Epoch [35][3200/3405] lr: 2.180e-02, eta: 1 day, 4:25:23, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7388, top5_acc: 0.9400, loss_cls: 3.7651, loss: 3.7651 2023-12-24 00:23:31,453 - pyskl - INFO - Epoch [35][3300/3405] lr: 2.179e-02, eta: 1 day, 4:24:54, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7481, top5_acc: 0.9519, loss_cls: 3.6850, loss: 3.6850 2023-12-24 00:23:56,505 - pyskl - INFO - Epoch [35][3400/3405] lr: 2.179e-02, eta: 1 day, 4:24:24, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9500, loss_cls: 3.6811, loss: 3.6811 2023-12-24 00:23:58,431 - pyskl - INFO - Saving checkpoint at 35 epochs 2023-12-24 00:28:22,235 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:28:22,845 - pyskl - INFO - top1_acc 0.7241 top5_acc 0.9398 2023-12-24 00:28:22,872 - pyskl - INFO - Epoch(val) [35][3718] top1_acc: 0.7241, top5_acc: 0.9398 2023-12-24 00:29:16,021 - pyskl - INFO - Epoch [36][100/3405] lr: 2.178e-02, eta: 1 day, 4:25:21, time: 0.531, data_time: 0.279, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9669, loss_cls: 3.6145, loss: 3.6145 2023-12-24 00:29:41,147 - pyskl - INFO - Epoch [36][200/3405] lr: 2.178e-02, eta: 1 day, 4:24:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9544, loss_cls: 3.6176, loss: 3.6176 2023-12-24 00:30:06,743 - pyskl - INFO - Epoch [36][300/3405] lr: 2.177e-02, eta: 1 day, 4:24:24, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7700, top5_acc: 0.9519, loss_cls: 3.6406, loss: 3.6406 2023-12-24 00:30:32,241 - pyskl - INFO - Epoch [36][400/3405] lr: 2.177e-02, eta: 1 day, 4:23:55, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9594, loss_cls: 3.5811, loss: 3.5811 2023-12-24 00:30:57,738 - pyskl - INFO - Epoch [36][500/3405] lr: 2.176e-02, eta: 1 day, 4:23:27, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7531, top5_acc: 0.9525, loss_cls: 3.6650, loss: 3.6650 2023-12-24 00:31:23,313 - pyskl - INFO - Epoch [36][600/3405] lr: 2.176e-02, eta: 1 day, 4:22:59, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7806, top5_acc: 0.9581, loss_cls: 3.6214, loss: 3.6214 2023-12-24 00:31:48,718 - pyskl - INFO - Epoch [36][700/3405] lr: 2.175e-02, eta: 1 day, 4:22:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9544, loss_cls: 3.6561, loss: 3.6561 2023-12-24 00:32:14,261 - pyskl - INFO - Epoch [36][800/3405] lr: 2.175e-02, eta: 1 day, 4:22:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9650, loss_cls: 3.5994, loss: 3.5994 2023-12-24 00:32:39,805 - pyskl - INFO - Epoch [36][900/3405] lr: 2.174e-02, eta: 1 day, 4:21:35, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9494, loss_cls: 3.6714, loss: 3.6714 2023-12-24 00:33:05,300 - pyskl - INFO - Epoch [36][1000/3405] lr: 2.174e-02, eta: 1 day, 4:21:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9587, loss_cls: 3.6570, loss: 3.6570 2023-12-24 00:33:30,797 - pyskl - INFO - Epoch [36][1100/3405] lr: 2.173e-02, eta: 1 day, 4:20:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9556, loss_cls: 3.6588, loss: 3.6588 2023-12-24 00:33:56,332 - pyskl - INFO - Epoch [36][1200/3405] lr: 2.173e-02, eta: 1 day, 4:20:10, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9563, loss_cls: 3.6482, loss: 3.6482 2023-12-24 00:34:21,796 - pyskl - INFO - Epoch [36][1300/3405] lr: 2.172e-02, eta: 1 day, 4:19:42, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9575, loss_cls: 3.6105, loss: 3.6105 2023-12-24 00:34:47,351 - pyskl - INFO - Epoch [36][1400/3405] lr: 2.172e-02, eta: 1 day, 4:19:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7575, top5_acc: 0.9587, loss_cls: 3.6674, loss: 3.6674 2023-12-24 00:35:12,515 - pyskl - INFO - Epoch [36][1500/3405] lr: 2.171e-02, eta: 1 day, 4:18:45, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9494, loss_cls: 3.6721, loss: 3.6721 2023-12-24 00:35:37,914 - pyskl - INFO - Epoch [36][1600/3405] lr: 2.171e-02, eta: 1 day, 4:18:16, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9613, loss_cls: 3.6412, loss: 3.6412 2023-12-24 00:36:03,370 - pyskl - INFO - Epoch [36][1700/3405] lr: 2.170e-02, eta: 1 day, 4:17:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7531, top5_acc: 0.9594, loss_cls: 3.6649, loss: 3.6649 2023-12-24 00:36:28,745 - pyskl - INFO - Epoch [36][1800/3405] lr: 2.170e-02, eta: 1 day, 4:17:19, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9469, loss_cls: 3.6230, loss: 3.6230 2023-12-24 00:36:53,891 - pyskl - INFO - Epoch [36][1900/3405] lr: 2.169e-02, eta: 1 day, 4:16:50, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9537, loss_cls: 3.6503, loss: 3.6503 2023-12-24 00:37:19,362 - pyskl - INFO - Epoch [36][2000/3405] lr: 2.169e-02, eta: 1 day, 4:16:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7681, top5_acc: 0.9644, loss_cls: 3.6479, loss: 3.6479 2023-12-24 00:37:44,566 - pyskl - INFO - Epoch [36][2100/3405] lr: 2.168e-02, eta: 1 day, 4:15:53, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7575, top5_acc: 0.9425, loss_cls: 3.7123, loss: 3.7123 2023-12-24 00:38:10,012 - pyskl - INFO - Epoch [36][2200/3405] lr: 2.168e-02, eta: 1 day, 4:15:24, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9587, loss_cls: 3.6727, loss: 3.6727 2023-12-24 00:38:35,095 - pyskl - INFO - Epoch [36][2300/3405] lr: 2.167e-02, eta: 1 day, 4:14:55, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7481, top5_acc: 0.9575, loss_cls: 3.7054, loss: 3.7054 2023-12-24 00:39:00,222 - pyskl - INFO - Epoch [36][2400/3405] lr: 2.166e-02, eta: 1 day, 4:14:25, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9463, loss_cls: 3.6682, loss: 3.6682 2023-12-24 00:39:25,375 - pyskl - INFO - Epoch [36][2500/3405] lr: 2.166e-02, eta: 1 day, 4:13:56, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7662, top5_acc: 0.9606, loss_cls: 3.6652, loss: 3.6652 2023-12-24 00:39:50,532 - pyskl - INFO - Epoch [36][2600/3405] lr: 2.165e-02, eta: 1 day, 4:13:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9463, loss_cls: 3.7099, loss: 3.7099 2023-12-24 00:40:15,883 - pyskl - INFO - Epoch [36][2700/3405] lr: 2.165e-02, eta: 1 day, 4:12:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9556, loss_cls: 3.6454, loss: 3.6454 2023-12-24 00:40:41,045 - pyskl - INFO - Epoch [36][2800/3405] lr: 2.164e-02, eta: 1 day, 4:12:29, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9587, loss_cls: 3.6754, loss: 3.6754 2023-12-24 00:41:06,311 - pyskl - INFO - Epoch [36][2900/3405] lr: 2.164e-02, eta: 1 day, 4:12:00, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7575, top5_acc: 0.9581, loss_cls: 3.6563, loss: 3.6563 2023-12-24 00:41:31,582 - pyskl - INFO - Epoch [36][3000/3405] lr: 2.163e-02, eta: 1 day, 4:11:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9531, loss_cls: 3.6323, loss: 3.6323 2023-12-24 00:41:56,835 - pyskl - INFO - Epoch [36][3100/3405] lr: 2.163e-02, eta: 1 day, 4:11:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9481, loss_cls: 3.7057, loss: 3.7057 2023-12-24 00:42:22,111 - pyskl - INFO - Epoch [36][3200/3405] lr: 2.162e-02, eta: 1 day, 4:10:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9575, loss_cls: 3.6344, loss: 3.6344 2023-12-24 00:42:47,074 - pyskl - INFO - Epoch [36][3300/3405] lr: 2.162e-02, eta: 1 day, 4:10:04, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7712, top5_acc: 0.9606, loss_cls: 3.5906, loss: 3.5906 2023-12-24 00:43:12,032 - pyskl - INFO - Epoch [36][3400/3405] lr: 2.161e-02, eta: 1 day, 4:09:34, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9650, loss_cls: 3.6224, loss: 3.6224 2023-12-24 00:43:14,191 - pyskl - INFO - Saving checkpoint at 36 epochs 2023-12-24 00:47:37,871 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:47:38,481 - pyskl - INFO - top1_acc 0.7128 top5_acc 0.9357 2023-12-24 00:47:38,508 - pyskl - INFO - Epoch(val) [36][3718] top1_acc: 0.7128, top5_acc: 0.9357 2023-12-24 00:48:31,040 - pyskl - INFO - Epoch [37][100/3405] lr: 2.161e-02, eta: 1 day, 4:10:26, time: 0.525, data_time: 0.274, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9563, loss_cls: 3.6309, loss: 3.6309 2023-12-24 00:48:56,229 - pyskl - INFO - Epoch [37][200/3405] lr: 2.160e-02, eta: 1 day, 4:09:57, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9575, loss_cls: 3.5708, loss: 3.5708 2023-12-24 00:49:21,803 - pyskl - INFO - Epoch [37][300/3405] lr: 2.160e-02, eta: 1 day, 4:09:29, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7662, top5_acc: 0.9575, loss_cls: 3.6240, loss: 3.6240 2023-12-24 00:49:47,516 - pyskl - INFO - Epoch [37][400/3405] lr: 2.159e-02, eta: 1 day, 4:09:02, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9669, loss_cls: 3.5524, loss: 3.5524 2023-12-24 00:50:12,827 - pyskl - INFO - Epoch [37][500/3405] lr: 2.159e-02, eta: 1 day, 4:08:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7469, top5_acc: 0.9531, loss_cls: 3.7230, loss: 3.7230 2023-12-24 00:50:38,346 - pyskl - INFO - Epoch [37][600/3405] lr: 2.158e-02, eta: 1 day, 4:08:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7569, top5_acc: 0.9594, loss_cls: 3.6768, loss: 3.6768 2023-12-24 00:51:04,061 - pyskl - INFO - Epoch [37][700/3405] lr: 2.158e-02, eta: 1 day, 4:07:38, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9669, loss_cls: 3.6326, loss: 3.6326 2023-12-24 00:51:29,843 - pyskl - INFO - Epoch [37][800/3405] lr: 2.157e-02, eta: 1 day, 4:07:10, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9575, loss_cls: 3.6365, loss: 3.6365 2023-12-24 00:51:55,259 - pyskl - INFO - Epoch [37][900/3405] lr: 2.156e-02, eta: 1 day, 4:06:42, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9563, loss_cls: 3.6502, loss: 3.6502 2023-12-24 00:52:20,814 - pyskl - INFO - Epoch [37][1000/3405] lr: 2.156e-02, eta: 1 day, 4:06:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7638, top5_acc: 0.9513, loss_cls: 3.6997, loss: 3.6997 2023-12-24 00:52:46,021 - pyskl - INFO - Epoch [37][1100/3405] lr: 2.155e-02, eta: 1 day, 4:05:45, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9587, loss_cls: 3.6466, loss: 3.6466 2023-12-24 00:53:11,059 - pyskl - INFO - Epoch [37][1200/3405] lr: 2.155e-02, eta: 1 day, 4:05:15, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9587, loss_cls: 3.6107, loss: 3.6107 2023-12-24 00:53:36,585 - pyskl - INFO - Epoch [37][1300/3405] lr: 2.154e-02, eta: 1 day, 4:04:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7469, top5_acc: 0.9463, loss_cls: 3.6890, loss: 3.6890 2023-12-24 00:54:02,217 - pyskl - INFO - Epoch [37][1400/3405] lr: 2.154e-02, eta: 1 day, 4:04:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9631, loss_cls: 3.6190, loss: 3.6190 2023-12-24 00:54:27,441 - pyskl - INFO - Epoch [37][1500/3405] lr: 2.153e-02, eta: 1 day, 4:03:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9569, loss_cls: 3.6724, loss: 3.6724 2023-12-24 00:54:52,865 - pyskl - INFO - Epoch [37][1600/3405] lr: 2.153e-02, eta: 1 day, 4:03:22, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9575, loss_cls: 3.6690, loss: 3.6690 2023-12-24 00:55:18,479 - pyskl - INFO - Epoch [37][1700/3405] lr: 2.152e-02, eta: 1 day, 4:02:55, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9537, loss_cls: 3.6751, loss: 3.6751 2023-12-24 00:55:43,677 - pyskl - INFO - Epoch [37][1800/3405] lr: 2.152e-02, eta: 1 day, 4:02:26, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7388, top5_acc: 0.9556, loss_cls: 3.7121, loss: 3.7121 2023-12-24 00:56:09,030 - pyskl - INFO - Epoch [37][1900/3405] lr: 2.151e-02, eta: 1 day, 4:01:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9594, loss_cls: 3.6583, loss: 3.6583 2023-12-24 00:56:34,326 - pyskl - INFO - Epoch [37][2000/3405] lr: 2.151e-02, eta: 1 day, 4:01:28, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9575, loss_cls: 3.6214, loss: 3.6214 2023-12-24 00:56:59,268 - pyskl - INFO - Epoch [37][2100/3405] lr: 2.150e-02, eta: 1 day, 4:00:59, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9456, loss_cls: 3.7051, loss: 3.7051 2023-12-24 00:57:24,376 - pyskl - INFO - Epoch [37][2200/3405] lr: 2.150e-02, eta: 1 day, 4:00:29, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9594, loss_cls: 3.5911, loss: 3.5911 2023-12-24 00:57:49,559 - pyskl - INFO - Epoch [37][2300/3405] lr: 2.149e-02, eta: 1 day, 4:00:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7450, top5_acc: 0.9531, loss_cls: 3.7067, loss: 3.7067 2023-12-24 00:58:14,536 - pyskl - INFO - Epoch [37][2400/3405] lr: 2.148e-02, eta: 1 day, 3:59:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9613, loss_cls: 3.6314, loss: 3.6314 2023-12-24 00:58:39,576 - pyskl - INFO - Epoch [37][2500/3405] lr: 2.148e-02, eta: 1 day, 3:59:01, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9644, loss_cls: 3.6374, loss: 3.6374 2023-12-24 00:59:04,964 - pyskl - INFO - Epoch [37][2600/3405] lr: 2.147e-02, eta: 1 day, 3:58:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9587, loss_cls: 3.6657, loss: 3.6657 2023-12-24 00:59:30,283 - pyskl - INFO - Epoch [37][2700/3405] lr: 2.147e-02, eta: 1 day, 3:58:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7575, top5_acc: 0.9525, loss_cls: 3.6512, loss: 3.6512 2023-12-24 00:59:55,628 - pyskl - INFO - Epoch [37][2800/3405] lr: 2.146e-02, eta: 1 day, 3:57:36, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9425, loss_cls: 3.6841, loss: 3.6841 2023-12-24 01:00:20,937 - pyskl - INFO - Epoch [37][2900/3405] lr: 2.146e-02, eta: 1 day, 3:57:07, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7769, top5_acc: 0.9550, loss_cls: 3.6353, loss: 3.6353 2023-12-24 01:00:46,150 - pyskl - INFO - Epoch [37][3000/3405] lr: 2.145e-02, eta: 1 day, 3:56:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9481, loss_cls: 3.6978, loss: 3.6978 2023-12-24 01:01:11,344 - pyskl - INFO - Epoch [37][3100/3405] lr: 2.145e-02, eta: 1 day, 3:56:09, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7638, top5_acc: 0.9563, loss_cls: 3.6454, loss: 3.6454 2023-12-24 01:01:36,564 - pyskl - INFO - Epoch [37][3200/3405] lr: 2.144e-02, eta: 1 day, 3:55:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9525, loss_cls: 3.6482, loss: 3.6482 2023-12-24 01:02:01,842 - pyskl - INFO - Epoch [37][3300/3405] lr: 2.144e-02, eta: 1 day, 3:55:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7481, top5_acc: 0.9563, loss_cls: 3.6803, loss: 3.6803 2023-12-24 01:02:27,060 - pyskl - INFO - Epoch [37][3400/3405] lr: 2.143e-02, eta: 1 day, 3:54:43, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9619, loss_cls: 3.6592, loss: 3.6592 2023-12-24 01:02:29,254 - pyskl - INFO - Saving checkpoint at 37 epochs 2023-12-24 01:06:53,311 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:06:53,911 - pyskl - INFO - top1_acc 0.7404 top5_acc 0.9442 2023-12-24 01:06:53,937 - pyskl - INFO - Epoch(val) [37][3718] top1_acc: 0.7404, top5_acc: 0.9442 2023-12-24 01:07:46,434 - pyskl - INFO - Epoch [38][100/3405] lr: 2.143e-02, eta: 1 day, 3:55:32, time: 0.525, data_time: 0.273, memory: 5236, top1_acc: 0.7925, top5_acc: 0.9556, loss_cls: 3.5849, loss: 3.5849 2023-12-24 01:08:11,414 - pyskl - INFO - Epoch [38][200/3405] lr: 2.142e-02, eta: 1 day, 3:55:02, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9613, loss_cls: 3.5761, loss: 3.5761 2023-12-24 01:08:36,961 - pyskl - INFO - Epoch [38][300/3405] lr: 2.141e-02, eta: 1 day, 3:54:34, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9550, loss_cls: 3.6096, loss: 3.6096 2023-12-24 01:09:02,330 - pyskl - INFO - Epoch [38][400/3405] lr: 2.141e-02, eta: 1 day, 3:54:06, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9637, loss_cls: 3.6235, loss: 3.6235 2023-12-24 01:09:27,928 - pyskl - INFO - Epoch [38][500/3405] lr: 2.140e-02, eta: 1 day, 3:53:38, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9669, loss_cls: 3.5455, loss: 3.5455 2023-12-24 01:09:53,591 - pyskl - INFO - Epoch [38][600/3405] lr: 2.140e-02, eta: 1 day, 3:53:11, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9594, loss_cls: 3.6245, loss: 3.6245 2023-12-24 01:10:19,197 - pyskl - INFO - Epoch [38][700/3405] lr: 2.139e-02, eta: 1 day, 3:52:43, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9587, loss_cls: 3.6433, loss: 3.6433 2023-12-24 01:10:44,583 - pyskl - INFO - Epoch [38][800/3405] lr: 2.139e-02, eta: 1 day, 3:52:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9550, loss_cls: 3.6339, loss: 3.6339 2023-12-24 01:11:09,710 - pyskl - INFO - Epoch [38][900/3405] lr: 2.138e-02, eta: 1 day, 3:51:45, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7450, top5_acc: 0.9556, loss_cls: 3.6728, loss: 3.6728 2023-12-24 01:11:35,571 - pyskl - INFO - Epoch [38][1000/3405] lr: 2.138e-02, eta: 1 day, 3:51:18, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9569, loss_cls: 3.6351, loss: 3.6351 2023-12-24 01:12:01,113 - pyskl - INFO - Epoch [38][1100/3405] lr: 2.137e-02, eta: 1 day, 3:50:50, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9506, loss_cls: 3.6604, loss: 3.6604 2023-12-24 01:12:26,870 - pyskl - INFO - Epoch [38][1200/3405] lr: 2.137e-02, eta: 1 day, 3:50:23, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7438, top5_acc: 0.9569, loss_cls: 3.6490, loss: 3.6490 2023-12-24 01:12:52,447 - pyskl - INFO - Epoch [38][1300/3405] lr: 2.136e-02, eta: 1 day, 3:49:55, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9525, loss_cls: 3.6432, loss: 3.6432 2023-12-24 01:13:18,041 - pyskl - INFO - Epoch [38][1400/3405] lr: 2.136e-02, eta: 1 day, 3:49:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9581, loss_cls: 3.6137, loss: 3.6137 2023-12-24 01:13:43,448 - pyskl - INFO - Epoch [38][1500/3405] lr: 2.135e-02, eta: 1 day, 3:48:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9594, loss_cls: 3.5943, loss: 3.5943 2023-12-24 01:14:08,770 - pyskl - INFO - Epoch [38][1600/3405] lr: 2.134e-02, eta: 1 day, 3:48:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7575, top5_acc: 0.9606, loss_cls: 3.6455, loss: 3.6455 2023-12-24 01:14:34,282 - pyskl - INFO - Epoch [38][1700/3405] lr: 2.134e-02, eta: 1 day, 3:48:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9625, loss_cls: 3.6163, loss: 3.6163 2023-12-24 01:14:59,371 - pyskl - INFO - Epoch [38][1800/3405] lr: 2.133e-02, eta: 1 day, 3:47:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9587, loss_cls: 3.6677, loss: 3.6677 2023-12-24 01:15:24,412 - pyskl - INFO - Epoch [38][1900/3405] lr: 2.133e-02, eta: 1 day, 3:47:04, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9600, loss_cls: 3.6287, loss: 3.6287 2023-12-24 01:15:49,420 - pyskl - INFO - Epoch [38][2000/3405] lr: 2.132e-02, eta: 1 day, 3:46:35, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9563, loss_cls: 3.6627, loss: 3.6627 2023-12-24 01:16:14,876 - pyskl - INFO - Epoch [38][2100/3405] lr: 2.132e-02, eta: 1 day, 3:46:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9650, loss_cls: 3.5946, loss: 3.5946 2023-12-24 01:16:40,141 - pyskl - INFO - Epoch [38][2200/3405] lr: 2.131e-02, eta: 1 day, 3:45:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9631, loss_cls: 3.6153, loss: 3.6153 2023-12-24 01:17:05,289 - pyskl - INFO - Epoch [38][2300/3405] lr: 2.131e-02, eta: 1 day, 3:45:09, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9513, loss_cls: 3.6951, loss: 3.6951 2023-12-24 01:17:30,400 - pyskl - INFO - Epoch [38][2400/3405] lr: 2.130e-02, eta: 1 day, 3:44:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9637, loss_cls: 3.6389, loss: 3.6389 2023-12-24 01:17:55,443 - pyskl - INFO - Epoch [38][2500/3405] lr: 2.130e-02, eta: 1 day, 3:44:10, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9487, loss_cls: 3.7241, loss: 3.7241 2023-12-24 01:18:20,499 - pyskl - INFO - Epoch [38][2600/3405] lr: 2.129e-02, eta: 1 day, 3:43:41, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9563, loss_cls: 3.6835, loss: 3.6835 2023-12-24 01:18:45,545 - pyskl - INFO - Epoch [38][2700/3405] lr: 2.128e-02, eta: 1 day, 3:43:12, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9481, loss_cls: 3.6917, loss: 3.6917 2023-12-24 01:19:10,772 - pyskl - INFO - Epoch [38][2800/3405] lr: 2.128e-02, eta: 1 day, 3:42:43, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9531, loss_cls: 3.6890, loss: 3.6890 2023-12-24 01:19:36,215 - pyskl - INFO - Epoch [38][2900/3405] lr: 2.127e-02, eta: 1 day, 3:42:15, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9500, loss_cls: 3.6842, loss: 3.6842 2023-12-24 01:20:01,437 - pyskl - INFO - Epoch [38][3000/3405] lr: 2.127e-02, eta: 1 day, 3:41:46, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7638, top5_acc: 0.9513, loss_cls: 3.6816, loss: 3.6816 2023-12-24 01:20:26,513 - pyskl - INFO - Epoch [38][3100/3405] lr: 2.126e-02, eta: 1 day, 3:41:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9500, loss_cls: 3.6948, loss: 3.6948 2023-12-24 01:20:51,702 - pyskl - INFO - Epoch [38][3200/3405] lr: 2.126e-02, eta: 1 day, 3:40:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7788, top5_acc: 0.9600, loss_cls: 3.6264, loss: 3.6264 2023-12-24 01:21:16,735 - pyskl - INFO - Epoch [38][3300/3405] lr: 2.125e-02, eta: 1 day, 3:40:19, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9475, loss_cls: 3.6800, loss: 3.6800 2023-12-24 01:21:41,726 - pyskl - INFO - Epoch [38][3400/3405] lr: 2.125e-02, eta: 1 day, 3:39:49, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9563, loss_cls: 3.6866, loss: 3.6866 2023-12-24 01:21:43,634 - pyskl - INFO - Saving checkpoint at 38 epochs 2023-12-24 01:26:07,137 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:26:07,742 - pyskl - INFO - top1_acc 0.7022 top5_acc 0.9170 2023-12-24 01:26:07,769 - pyskl - INFO - Epoch(val) [38][3718] top1_acc: 0.7022, top5_acc: 0.9170 2023-12-24 01:27:00,262 - pyskl - INFO - Epoch [39][100/3405] lr: 2.124e-02, eta: 1 day, 3:40:36, time: 0.525, data_time: 0.274, memory: 5236, top1_acc: 0.7700, top5_acc: 0.9544, loss_cls: 3.6575, loss: 3.6575 2023-12-24 01:27:25,510 - pyskl - INFO - Epoch [39][200/3405] lr: 2.123e-02, eta: 1 day, 3:40:07, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9606, loss_cls: 3.6009, loss: 3.6009 2023-12-24 01:27:50,915 - pyskl - INFO - Epoch [39][300/3405] lr: 2.123e-02, eta: 1 day, 3:39:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7919, top5_acc: 0.9706, loss_cls: 3.5682, loss: 3.5682 2023-12-24 01:28:16,519 - pyskl - INFO - Epoch [39][400/3405] lr: 2.122e-02, eta: 1 day, 3:39:11, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9619, loss_cls: 3.6432, loss: 3.6432 2023-12-24 01:28:42,023 - pyskl - INFO - Epoch [39][500/3405] lr: 2.122e-02, eta: 1 day, 3:38:43, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9506, loss_cls: 3.6638, loss: 3.6638 2023-12-24 01:29:07,396 - pyskl - INFO - Epoch [39][600/3405] lr: 2.121e-02, eta: 1 day, 3:38:15, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9606, loss_cls: 3.5560, loss: 3.5560 2023-12-24 01:29:33,293 - pyskl - INFO - Epoch [39][700/3405] lr: 2.121e-02, eta: 1 day, 3:37:48, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9613, loss_cls: 3.6223, loss: 3.6223 2023-12-24 01:29:58,447 - pyskl - INFO - Epoch [39][800/3405] lr: 2.120e-02, eta: 1 day, 3:37:19, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9619, loss_cls: 3.5777, loss: 3.5777 2023-12-24 01:30:23,617 - pyskl - INFO - Epoch [39][900/3405] lr: 2.120e-02, eta: 1 day, 3:36:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9587, loss_cls: 3.5679, loss: 3.5679 2023-12-24 01:30:48,963 - pyskl - INFO - Epoch [39][1000/3405] lr: 2.119e-02, eta: 1 day, 3:36:22, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9569, loss_cls: 3.6482, loss: 3.6482 2023-12-24 01:31:15,091 - pyskl - INFO - Epoch [39][1100/3405] lr: 2.119e-02, eta: 1 day, 3:35:55, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.7638, top5_acc: 0.9519, loss_cls: 3.6720, loss: 3.6720 2023-12-24 01:31:40,678 - pyskl - INFO - Epoch [39][1200/3405] lr: 2.118e-02, eta: 1 day, 3:35:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7775, top5_acc: 0.9650, loss_cls: 3.5923, loss: 3.5923 2023-12-24 01:32:06,203 - pyskl - INFO - Epoch [39][1300/3405] lr: 2.117e-02, eta: 1 day, 3:35:00, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7562, top5_acc: 0.9506, loss_cls: 3.6640, loss: 3.6640 2023-12-24 01:32:32,019 - pyskl - INFO - Epoch [39][1400/3405] lr: 2.117e-02, eta: 1 day, 3:34:33, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7412, top5_acc: 0.9456, loss_cls: 3.7389, loss: 3.7389 2023-12-24 01:32:57,600 - pyskl - INFO - Epoch [39][1500/3405] lr: 2.116e-02, eta: 1 day, 3:34:05, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9594, loss_cls: 3.6386, loss: 3.6386 2023-12-24 01:33:23,102 - pyskl - INFO - Epoch [39][1600/3405] lr: 2.116e-02, eta: 1 day, 3:33:37, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7638, top5_acc: 0.9556, loss_cls: 3.6530, loss: 3.6530 2023-12-24 01:33:48,563 - pyskl - INFO - Epoch [39][1700/3405] lr: 2.115e-02, eta: 1 day, 3:33:09, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9575, loss_cls: 3.6284, loss: 3.6284 2023-12-24 01:34:14,156 - pyskl - INFO - Epoch [39][1800/3405] lr: 2.115e-02, eta: 1 day, 3:32:41, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7725, top5_acc: 0.9544, loss_cls: 3.6291, loss: 3.6291 2023-12-24 01:34:39,494 - pyskl - INFO - Epoch [39][1900/3405] lr: 2.114e-02, eta: 1 day, 3:32:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9569, loss_cls: 3.5930, loss: 3.5930 2023-12-24 01:35:04,632 - pyskl - INFO - Epoch [39][2000/3405] lr: 2.114e-02, eta: 1 day, 3:31:44, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9481, loss_cls: 3.6861, loss: 3.6861 2023-12-24 01:35:29,861 - pyskl - INFO - Epoch [39][2100/3405] lr: 2.113e-02, eta: 1 day, 3:31:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7769, top5_acc: 0.9587, loss_cls: 3.6052, loss: 3.6052 2023-12-24 01:35:55,013 - pyskl - INFO - Epoch [39][2200/3405] lr: 2.112e-02, eta: 1 day, 3:30:46, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9513, loss_cls: 3.6141, loss: 3.6141 2023-12-24 01:36:20,001 - pyskl - INFO - Epoch [39][2300/3405] lr: 2.112e-02, eta: 1 day, 3:30:17, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9563, loss_cls: 3.6319, loss: 3.6319 2023-12-24 01:36:45,003 - pyskl - INFO - Epoch [39][2400/3405] lr: 2.111e-02, eta: 1 day, 3:29:48, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9500, loss_cls: 3.6965, loss: 3.6965 2023-12-24 01:37:10,120 - pyskl - INFO - Epoch [39][2500/3405] lr: 2.111e-02, eta: 1 day, 3:29:19, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9594, loss_cls: 3.6337, loss: 3.6337 2023-12-24 01:37:35,454 - pyskl - INFO - Epoch [39][2600/3405] lr: 2.110e-02, eta: 1 day, 3:28:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7681, top5_acc: 0.9600, loss_cls: 3.6174, loss: 3.6174 2023-12-24 01:38:00,885 - pyskl - INFO - Epoch [39][2700/3405] lr: 2.110e-02, eta: 1 day, 3:28:22, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7544, top5_acc: 0.9606, loss_cls: 3.6693, loss: 3.6693 2023-12-24 01:38:26,288 - pyskl - INFO - Epoch [39][2800/3405] lr: 2.109e-02, eta: 1 day, 3:27:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7681, top5_acc: 0.9569, loss_cls: 3.6385, loss: 3.6385 2023-12-24 01:38:51,559 - pyskl - INFO - Epoch [39][2900/3405] lr: 2.109e-02, eta: 1 day, 3:27:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9544, loss_cls: 3.6410, loss: 3.6410 2023-12-24 01:39:17,125 - pyskl - INFO - Epoch [39][3000/3405] lr: 2.108e-02, eta: 1 day, 3:26:58, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7538, top5_acc: 0.9587, loss_cls: 3.6698, loss: 3.6698 2023-12-24 01:39:42,328 - pyskl - INFO - Epoch [39][3100/3405] lr: 2.107e-02, eta: 1 day, 3:26:29, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9500, loss_cls: 3.6721, loss: 3.6721 2023-12-24 01:40:07,492 - pyskl - INFO - Epoch [39][3200/3405] lr: 2.107e-02, eta: 1 day, 3:26:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9519, loss_cls: 3.6666, loss: 3.6666 2023-12-24 01:40:32,691 - pyskl - INFO - Epoch [39][3300/3405] lr: 2.106e-02, eta: 1 day, 3:25:31, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7712, top5_acc: 0.9544, loss_cls: 3.6611, loss: 3.6611 2023-12-24 01:40:57,963 - pyskl - INFO - Epoch [39][3400/3405] lr: 2.106e-02, eta: 1 day, 3:25:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9644, loss_cls: 3.6181, loss: 3.6181 2023-12-24 01:40:59,883 - pyskl - INFO - Saving checkpoint at 39 epochs 2023-12-24 01:45:23,474 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:45:24,075 - pyskl - INFO - top1_acc 0.7574 top5_acc 0.9474 2023-12-24 01:45:24,079 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_32.pth was removed 2023-12-24 01:45:24,290 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_39.pth. 2023-12-24 01:45:24,292 - pyskl - INFO - Best top1_acc is 0.7574 at 39 epoch. 2023-12-24 01:45:24,319 - pyskl - INFO - Epoch(val) [39][3718] top1_acc: 0.7574, top5_acc: 0.9474 2023-12-24 01:46:17,335 - pyskl - INFO - Epoch [40][100/3405] lr: 2.105e-02, eta: 1 day, 3:25:48, time: 0.530, data_time: 0.276, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9631, loss_cls: 3.5422, loss: 3.5422 2023-12-24 01:46:42,733 - pyskl - INFO - Epoch [40][200/3405] lr: 2.105e-02, eta: 1 day, 3:25:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9706, loss_cls: 3.5391, loss: 3.5391 2023-12-24 01:47:08,252 - pyskl - INFO - Epoch [40][300/3405] lr: 2.104e-02, eta: 1 day, 3:24:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9625, loss_cls: 3.5791, loss: 3.5791 2023-12-24 01:47:33,738 - pyskl - INFO - Epoch [40][400/3405] lr: 2.103e-02, eta: 1 day, 3:24:24, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9637, loss_cls: 3.6188, loss: 3.6188 2023-12-24 01:47:59,330 - pyskl - INFO - Epoch [40][500/3405] lr: 2.103e-02, eta: 1 day, 3:23:57, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9563, loss_cls: 3.6247, loss: 3.6247 2023-12-24 01:48:24,699 - pyskl - INFO - Epoch [40][600/3405] lr: 2.102e-02, eta: 1 day, 3:23:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7575, top5_acc: 0.9525, loss_cls: 3.6575, loss: 3.6575 2023-12-24 01:48:50,347 - pyskl - INFO - Epoch [40][700/3405] lr: 2.102e-02, eta: 1 day, 3:23:01, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7625, top5_acc: 0.9531, loss_cls: 3.6521, loss: 3.6521 2023-12-24 01:49:16,036 - pyskl - INFO - Epoch [40][800/3405] lr: 2.101e-02, eta: 1 day, 3:22:33, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9625, loss_cls: 3.6191, loss: 3.6191 2023-12-24 01:49:41,516 - pyskl - INFO - Epoch [40][900/3405] lr: 2.101e-02, eta: 1 day, 3:22:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9581, loss_cls: 3.6462, loss: 3.6462 2023-12-24 01:50:06,957 - pyskl - INFO - Epoch [40][1000/3405] lr: 2.100e-02, eta: 1 day, 3:21:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9625, loss_cls: 3.6081, loss: 3.6081 2023-12-24 01:50:32,984 - pyskl - INFO - Epoch [40][1100/3405] lr: 2.100e-02, eta: 1 day, 3:21:11, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9487, loss_cls: 3.6466, loss: 3.6466 2023-12-24 01:50:59,143 - pyskl - INFO - Epoch [40][1200/3405] lr: 2.099e-02, eta: 1 day, 3:20:45, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9681, loss_cls: 3.5981, loss: 3.5981 2023-12-24 01:51:24,810 - pyskl - INFO - Epoch [40][1300/3405] lr: 2.098e-02, eta: 1 day, 3:20:17, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9600, loss_cls: 3.6510, loss: 3.6510 2023-12-24 01:51:50,424 - pyskl - INFO - Epoch [40][1400/3405] lr: 2.098e-02, eta: 1 day, 3:19:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9450, loss_cls: 3.6751, loss: 3.6751 2023-12-24 01:52:15,881 - pyskl - INFO - Epoch [40][1500/3405] lr: 2.097e-02, eta: 1 day, 3:19:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9519, loss_cls: 3.6720, loss: 3.6720 2023-12-24 01:52:41,472 - pyskl - INFO - Epoch [40][1600/3405] lr: 2.097e-02, eta: 1 day, 3:18:54, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9587, loss_cls: 3.5941, loss: 3.5941 2023-12-24 01:53:06,962 - pyskl - INFO - Epoch [40][1700/3405] lr: 2.096e-02, eta: 1 day, 3:18:26, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7575, top5_acc: 0.9450, loss_cls: 3.6724, loss: 3.6724 2023-12-24 01:53:32,330 - pyskl - INFO - Epoch [40][1800/3405] lr: 2.096e-02, eta: 1 day, 3:17:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7444, top5_acc: 0.9537, loss_cls: 3.7231, loss: 3.7231 2023-12-24 01:53:57,738 - pyskl - INFO - Epoch [40][1900/3405] lr: 2.095e-02, eta: 1 day, 3:17:30, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7712, top5_acc: 0.9550, loss_cls: 3.6179, loss: 3.6179 2023-12-24 01:54:23,083 - pyskl - INFO - Epoch [40][2000/3405] lr: 2.094e-02, eta: 1 day, 3:17:02, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9575, loss_cls: 3.6000, loss: 3.6000 2023-12-24 01:54:48,231 - pyskl - INFO - Epoch [40][2100/3405] lr: 2.094e-02, eta: 1 day, 3:16:33, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9506, loss_cls: 3.6414, loss: 3.6414 2023-12-24 01:55:13,847 - pyskl - INFO - Epoch [40][2200/3405] lr: 2.093e-02, eta: 1 day, 3:16:05, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9600, loss_cls: 3.6457, loss: 3.6457 2023-12-24 01:55:39,265 - pyskl - INFO - Epoch [40][2300/3405] lr: 2.093e-02, eta: 1 day, 3:15:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9587, loss_cls: 3.6076, loss: 3.6076 2023-12-24 01:56:04,409 - pyskl - INFO - Epoch [40][2400/3405] lr: 2.092e-02, eta: 1 day, 3:15:08, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7700, top5_acc: 0.9506, loss_cls: 3.6595, loss: 3.6595 2023-12-24 01:56:29,957 - pyskl - INFO - Epoch [40][2500/3405] lr: 2.092e-02, eta: 1 day, 3:14:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7388, top5_acc: 0.9481, loss_cls: 3.7075, loss: 3.7075 2023-12-24 01:56:55,175 - pyskl - INFO - Epoch [40][2600/3405] lr: 2.091e-02, eta: 1 day, 3:14:12, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9544, loss_cls: 3.6380, loss: 3.6380 2023-12-24 01:57:20,278 - pyskl - INFO - Epoch [40][2700/3405] lr: 2.090e-02, eta: 1 day, 3:13:43, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7538, top5_acc: 0.9575, loss_cls: 3.6798, loss: 3.6798 2023-12-24 01:57:45,633 - pyskl - INFO - Epoch [40][2800/3405] lr: 2.090e-02, eta: 1 day, 3:13:15, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9575, loss_cls: 3.6183, loss: 3.6183 2023-12-24 01:58:10,731 - pyskl - INFO - Epoch [40][2900/3405] lr: 2.089e-02, eta: 1 day, 3:12:46, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7662, top5_acc: 0.9550, loss_cls: 3.6436, loss: 3.6436 2023-12-24 01:58:36,107 - pyskl - INFO - Epoch [40][3000/3405] lr: 2.089e-02, eta: 1 day, 3:12:18, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7638, top5_acc: 0.9575, loss_cls: 3.6418, loss: 3.6418 2023-12-24 01:59:01,412 - pyskl - INFO - Epoch [40][3100/3405] lr: 2.088e-02, eta: 1 day, 3:11:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9575, loss_cls: 3.6257, loss: 3.6257 2023-12-24 01:59:26,383 - pyskl - INFO - Epoch [40][3200/3405] lr: 2.088e-02, eta: 1 day, 3:11:20, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9606, loss_cls: 3.6225, loss: 3.6225 2023-12-24 01:59:51,341 - pyskl - INFO - Epoch [40][3300/3405] lr: 2.087e-02, eta: 1 day, 3:10:51, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9500, loss_cls: 3.6653, loss: 3.6653 2023-12-24 02:00:16,294 - pyskl - INFO - Epoch [40][3400/3405] lr: 2.086e-02, eta: 1 day, 3:10:21, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7325, top5_acc: 0.9537, loss_cls: 3.7133, loss: 3.7133 2023-12-24 02:00:18,210 - pyskl - INFO - Saving checkpoint at 40 epochs 2023-12-24 02:04:41,896 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:04:42,504 - pyskl - INFO - top1_acc 0.7394 top5_acc 0.9419 2023-12-24 02:04:42,531 - pyskl - INFO - Epoch(val) [40][3718] top1_acc: 0.7394, top5_acc: 0.9419 2023-12-24 02:05:35,859 - pyskl - INFO - Epoch [41][100/3405] lr: 2.086e-02, eta: 1 day, 3:11:05, time: 0.533, data_time: 0.279, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9594, loss_cls: 3.5906, loss: 3.5906 2023-12-24 02:06:01,147 - pyskl - INFO - Epoch [41][200/3405] lr: 2.085e-02, eta: 1 day, 3:10:36, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9613, loss_cls: 3.5966, loss: 3.5966 2023-12-24 02:06:26,573 - pyskl - INFO - Epoch [41][300/3405] lr: 2.085e-02, eta: 1 day, 3:10:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9550, loss_cls: 3.5864, loss: 3.5864 2023-12-24 02:06:52,088 - pyskl - INFO - Epoch [41][400/3405] lr: 2.084e-02, eta: 1 day, 3:09:41, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9556, loss_cls: 3.6185, loss: 3.6185 2023-12-24 02:07:17,728 - pyskl - INFO - Epoch [41][500/3405] lr: 2.084e-02, eta: 1 day, 3:09:13, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9644, loss_cls: 3.5642, loss: 3.5642 2023-12-24 02:07:43,017 - pyskl - INFO - Epoch [41][600/3405] lr: 2.083e-02, eta: 1 day, 3:08:45, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9587, loss_cls: 3.6203, loss: 3.6203 2023-12-24 02:08:08,467 - pyskl - INFO - Epoch [41][700/3405] lr: 2.082e-02, eta: 1 day, 3:08:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9544, loss_cls: 3.6555, loss: 3.6555 2023-12-24 02:08:34,125 - pyskl - INFO - Epoch [41][800/3405] lr: 2.082e-02, eta: 1 day, 3:07:49, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9500, loss_cls: 3.6723, loss: 3.6723 2023-12-24 02:08:59,720 - pyskl - INFO - Epoch [41][900/3405] lr: 2.081e-02, eta: 1 day, 3:07:22, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9606, loss_cls: 3.5884, loss: 3.5884 2023-12-24 02:09:25,282 - pyskl - INFO - Epoch [41][1000/3405] lr: 2.081e-02, eta: 1 day, 3:06:54, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9606, loss_cls: 3.5844, loss: 3.5844 2023-12-24 02:09:50,919 - pyskl - INFO - Epoch [41][1100/3405] lr: 2.080e-02, eta: 1 day, 3:06:26, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9631, loss_cls: 3.5597, loss: 3.5597 2023-12-24 02:10:16,686 - pyskl - INFO - Epoch [41][1200/3405] lr: 2.080e-02, eta: 1 day, 3:05:59, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7481, top5_acc: 0.9513, loss_cls: 3.6853, loss: 3.6853 2023-12-24 02:10:42,383 - pyskl - INFO - Epoch [41][1300/3405] lr: 2.079e-02, eta: 1 day, 3:05:32, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9550, loss_cls: 3.6195, loss: 3.6195 2023-12-24 02:11:07,940 - pyskl - INFO - Epoch [41][1400/3405] lr: 2.078e-02, eta: 1 day, 3:05:04, time: 0.256, data_time: 0.001, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9619, loss_cls: 3.5904, loss: 3.5904 2023-12-24 02:11:33,307 - pyskl - INFO - Epoch [41][1500/3405] lr: 2.078e-02, eta: 1 day, 3:04:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9531, loss_cls: 3.6801, loss: 3.6801 2023-12-24 02:11:58,488 - pyskl - INFO - Epoch [41][1600/3405] lr: 2.077e-02, eta: 1 day, 3:04:07, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7712, top5_acc: 0.9450, loss_cls: 3.6646, loss: 3.6646 2023-12-24 02:12:24,087 - pyskl - INFO - Epoch [41][1700/3405] lr: 2.077e-02, eta: 1 day, 3:03:40, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9569, loss_cls: 3.6516, loss: 3.6516 2023-12-24 02:12:49,705 - pyskl - INFO - Epoch [41][1800/3405] lr: 2.076e-02, eta: 1 day, 3:03:12, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9581, loss_cls: 3.6244, loss: 3.6244 2023-12-24 02:13:14,872 - pyskl - INFO - Epoch [41][1900/3405] lr: 2.076e-02, eta: 1 day, 3:02:44, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9550, loss_cls: 3.6607, loss: 3.6607 2023-12-24 02:13:40,137 - pyskl - INFO - Epoch [41][2000/3405] lr: 2.075e-02, eta: 1 day, 3:02:15, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9575, loss_cls: 3.6481, loss: 3.6481 2023-12-24 02:14:05,524 - pyskl - INFO - Epoch [41][2100/3405] lr: 2.074e-02, eta: 1 day, 3:01:47, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9525, loss_cls: 3.6692, loss: 3.6692 2023-12-24 02:14:30,860 - pyskl - INFO - Epoch [41][2200/3405] lr: 2.074e-02, eta: 1 day, 3:01:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9556, loss_cls: 3.6202, loss: 3.6202 2023-12-24 02:14:56,372 - pyskl - INFO - Epoch [41][2300/3405] lr: 2.073e-02, eta: 1 day, 3:00:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7494, top5_acc: 0.9494, loss_cls: 3.6853, loss: 3.6853 2023-12-24 02:15:21,352 - pyskl - INFO - Epoch [41][2400/3405] lr: 2.073e-02, eta: 1 day, 3:00:22, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9581, loss_cls: 3.6797, loss: 3.6797 2023-12-24 02:15:46,326 - pyskl - INFO - Epoch [41][2500/3405] lr: 2.072e-02, eta: 1 day, 2:59:53, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7844, top5_acc: 0.9631, loss_cls: 3.5553, loss: 3.5553 2023-12-24 02:16:11,329 - pyskl - INFO - Epoch [41][2600/3405] lr: 2.071e-02, eta: 1 day, 2:59:23, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9619, loss_cls: 3.6065, loss: 3.6065 2023-12-24 02:16:36,350 - pyskl - INFO - Epoch [41][2700/3405] lr: 2.071e-02, eta: 1 day, 2:58:54, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9569, loss_cls: 3.6586, loss: 3.6586 2023-12-24 02:17:01,334 - pyskl - INFO - Epoch [41][2800/3405] lr: 2.070e-02, eta: 1 day, 2:58:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7775, top5_acc: 0.9587, loss_cls: 3.6122, loss: 3.6122 2023-12-24 02:17:26,703 - pyskl - INFO - Epoch [41][2900/3405] lr: 2.070e-02, eta: 1 day, 2:57:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7662, top5_acc: 0.9606, loss_cls: 3.6439, loss: 3.6439 2023-12-24 02:17:52,255 - pyskl - INFO - Epoch [41][3000/3405] lr: 2.069e-02, eta: 1 day, 2:57:29, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9544, loss_cls: 3.6229, loss: 3.6229 2023-12-24 02:18:17,541 - pyskl - INFO - Epoch [41][3100/3405] lr: 2.069e-02, eta: 1 day, 2:57:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7575, top5_acc: 0.9606, loss_cls: 3.6419, loss: 3.6419 2023-12-24 02:18:42,743 - pyskl - INFO - Epoch [41][3200/3405] lr: 2.068e-02, eta: 1 day, 2:56:33, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7788, top5_acc: 0.9613, loss_cls: 3.6090, loss: 3.6090 2023-12-24 02:19:08,104 - pyskl - INFO - Epoch [41][3300/3405] lr: 2.067e-02, eta: 1 day, 2:56:04, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9619, loss_cls: 3.5847, loss: 3.5847 2023-12-24 02:19:33,258 - pyskl - INFO - Epoch [41][3400/3405] lr: 2.067e-02, eta: 1 day, 2:55:36, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7694, top5_acc: 0.9587, loss_cls: 3.6094, loss: 3.6094 2023-12-24 02:19:35,201 - pyskl - INFO - Saving checkpoint at 41 epochs 2023-12-24 02:23:58,846 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:23:59,452 - pyskl - INFO - top1_acc 0.7635 top5_acc 0.9500 2023-12-24 02:23:59,457 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_39.pth was removed 2023-12-24 02:23:59,664 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. 2023-12-24 02:23:59,666 - pyskl - INFO - Best top1_acc is 0.7635 at 41 epoch. 2023-12-24 02:23:59,694 - pyskl - INFO - Epoch(val) [41][3718] top1_acc: 0.7635, top5_acc: 0.9500 2023-12-24 02:24:52,345 - pyskl - INFO - Epoch [42][100/3405] lr: 2.066e-02, eta: 1 day, 2:56:15, time: 0.526, data_time: 0.276, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9606, loss_cls: 3.6062, loss: 3.6062 2023-12-24 02:25:17,309 - pyskl - INFO - Epoch [42][200/3405] lr: 2.066e-02, eta: 1 day, 2:55:46, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9600, loss_cls: 3.6162, loss: 3.6162 2023-12-24 02:25:42,516 - pyskl - INFO - Epoch [42][300/3405] lr: 2.065e-02, eta: 1 day, 2:55:17, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9650, loss_cls: 3.5901, loss: 3.5901 2023-12-24 02:26:08,045 - pyskl - INFO - Epoch [42][400/3405] lr: 2.064e-02, eta: 1 day, 2:54:50, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9581, loss_cls: 3.6201, loss: 3.6201 2023-12-24 02:26:33,655 - pyskl - INFO - Epoch [42][500/3405] lr: 2.064e-02, eta: 1 day, 2:54:22, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9606, loss_cls: 3.5903, loss: 3.5903 2023-12-24 02:26:59,046 - pyskl - INFO - Epoch [42][600/3405] lr: 2.063e-02, eta: 1 day, 2:53:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9650, loss_cls: 3.5946, loss: 3.5946 2023-12-24 02:27:24,663 - pyskl - INFO - Epoch [42][700/3405] lr: 2.063e-02, eta: 1 day, 2:53:27, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9487, loss_cls: 3.6386, loss: 3.6386 2023-12-24 02:27:50,339 - pyskl - INFO - Epoch [42][800/3405] lr: 2.062e-02, eta: 1 day, 2:52:59, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9556, loss_cls: 3.6052, loss: 3.6052 2023-12-24 02:28:16,334 - pyskl - INFO - Epoch [42][900/3405] lr: 2.062e-02, eta: 1 day, 2:52:33, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9550, loss_cls: 3.6123, loss: 3.6123 2023-12-24 02:28:41,805 - pyskl - INFO - Epoch [42][1000/3405] lr: 2.061e-02, eta: 1 day, 2:52:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9644, loss_cls: 3.5927, loss: 3.5927 2023-12-24 02:29:07,844 - pyskl - INFO - Epoch [42][1100/3405] lr: 2.060e-02, eta: 1 day, 2:51:38, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9613, loss_cls: 3.6574, loss: 3.6574 2023-12-24 02:29:33,504 - pyskl - INFO - Epoch [42][1200/3405] lr: 2.060e-02, eta: 1 day, 2:51:11, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9537, loss_cls: 3.6296, loss: 3.6296 2023-12-24 02:29:59,428 - pyskl - INFO - Epoch [42][1300/3405] lr: 2.059e-02, eta: 1 day, 2:50:44, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9594, loss_cls: 3.6206, loss: 3.6206 2023-12-24 02:30:24,944 - pyskl - INFO - Epoch [42][1400/3405] lr: 2.059e-02, eta: 1 day, 2:50:17, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9537, loss_cls: 3.6605, loss: 3.6605 2023-12-24 02:30:50,348 - pyskl - INFO - Epoch [42][1500/3405] lr: 2.058e-02, eta: 1 day, 2:49:49, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9613, loss_cls: 3.6444, loss: 3.6444 2023-12-24 02:31:15,703 - pyskl - INFO - Epoch [42][1600/3405] lr: 2.057e-02, eta: 1 day, 2:49:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9531, loss_cls: 3.6397, loss: 3.6397 2023-12-24 02:31:40,735 - pyskl - INFO - Epoch [42][1700/3405] lr: 2.057e-02, eta: 1 day, 2:48:51, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7806, top5_acc: 0.9587, loss_cls: 3.6030, loss: 3.6030 2023-12-24 02:32:06,147 - pyskl - INFO - Epoch [42][1800/3405] lr: 2.056e-02, eta: 1 day, 2:48:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9506, loss_cls: 3.6845, loss: 3.6845 2023-12-24 02:32:31,597 - pyskl - INFO - Epoch [42][1900/3405] lr: 2.056e-02, eta: 1 day, 2:47:56, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7725, top5_acc: 0.9513, loss_cls: 3.6421, loss: 3.6421 2023-12-24 02:32:56,822 - pyskl - INFO - Epoch [42][2000/3405] lr: 2.055e-02, eta: 1 day, 2:47:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7788, top5_acc: 0.9625, loss_cls: 3.6279, loss: 3.6279 2023-12-24 02:33:22,098 - pyskl - INFO - Epoch [42][2100/3405] lr: 2.054e-02, eta: 1 day, 2:46:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9600, loss_cls: 3.5893, loss: 3.5893 2023-12-24 02:33:47,490 - pyskl - INFO - Epoch [42][2200/3405] lr: 2.054e-02, eta: 1 day, 2:46:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7756, top5_acc: 0.9613, loss_cls: 3.6007, loss: 3.6007 2023-12-24 02:34:12,940 - pyskl - INFO - Epoch [42][2300/3405] lr: 2.053e-02, eta: 1 day, 2:46:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9563, loss_cls: 3.6320, loss: 3.6320 2023-12-24 02:34:38,145 - pyskl - INFO - Epoch [42][2400/3405] lr: 2.053e-02, eta: 1 day, 2:45:34, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7756, top5_acc: 0.9544, loss_cls: 3.6244, loss: 3.6244 2023-12-24 02:35:03,319 - pyskl - INFO - Epoch [42][2500/3405] lr: 2.052e-02, eta: 1 day, 2:45:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9625, loss_cls: 3.6355, loss: 3.6355 2023-12-24 02:35:28,513 - pyskl - INFO - Epoch [42][2600/3405] lr: 2.052e-02, eta: 1 day, 2:44:37, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9619, loss_cls: 3.6224, loss: 3.6224 2023-12-24 02:35:53,811 - pyskl - INFO - Epoch [42][2700/3405] lr: 2.051e-02, eta: 1 day, 2:44:09, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9619, loss_cls: 3.6568, loss: 3.6568 2023-12-24 02:36:19,333 - pyskl - INFO - Epoch [42][2800/3405] lr: 2.050e-02, eta: 1 day, 2:43:41, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7681, top5_acc: 0.9594, loss_cls: 3.6272, loss: 3.6272 2023-12-24 02:36:44,611 - pyskl - INFO - Epoch [42][2900/3405] lr: 2.050e-02, eta: 1 day, 2:43:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9600, loss_cls: 3.5792, loss: 3.5792 2023-12-24 02:37:10,064 - pyskl - INFO - Epoch [42][3000/3405] lr: 2.049e-02, eta: 1 day, 2:42:45, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9575, loss_cls: 3.6633, loss: 3.6633 2023-12-24 02:37:35,367 - pyskl - INFO - Epoch [42][3100/3405] lr: 2.049e-02, eta: 1 day, 2:42:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7425, top5_acc: 0.9500, loss_cls: 3.7064, loss: 3.7064 2023-12-24 02:38:00,659 - pyskl - INFO - Epoch [42][3200/3405] lr: 2.048e-02, eta: 1 day, 2:41:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9594, loss_cls: 3.6100, loss: 3.6100 2023-12-24 02:38:25,787 - pyskl - INFO - Epoch [42][3300/3405] lr: 2.047e-02, eta: 1 day, 2:41:20, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9519, loss_cls: 3.6157, loss: 3.6157 2023-12-24 02:38:51,184 - pyskl - INFO - Epoch [42][3400/3405] lr: 2.047e-02, eta: 1 day, 2:40:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9600, loss_cls: 3.6277, loss: 3.6277 2023-12-24 02:38:53,375 - pyskl - INFO - Saving checkpoint at 42 epochs 2023-12-24 02:43:16,771 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:43:17,379 - pyskl - INFO - top1_acc 0.7462 top5_acc 0.9407 2023-12-24 02:43:17,405 - pyskl - INFO - Epoch(val) [42][3718] top1_acc: 0.7462, top5_acc: 0.9407 2023-12-24 02:44:10,022 - pyskl - INFO - Epoch [43][100/3405] lr: 2.046e-02, eta: 1 day, 2:41:29, time: 0.526, data_time: 0.275, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9694, loss_cls: 3.5234, loss: 3.5234 2023-12-24 02:44:35,349 - pyskl - INFO - Epoch [43][200/3405] lr: 2.046e-02, eta: 1 day, 2:41:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9613, loss_cls: 3.5673, loss: 3.5673 2023-12-24 02:45:00,724 - pyskl - INFO - Epoch [43][300/3405] lr: 2.045e-02, eta: 1 day, 2:40:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9650, loss_cls: 3.5601, loss: 3.5601 2023-12-24 02:45:26,306 - pyskl - INFO - Epoch [43][400/3405] lr: 2.044e-02, eta: 1 day, 2:40:05, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9587, loss_cls: 3.6181, loss: 3.6181 2023-12-24 02:45:51,784 - pyskl - INFO - Epoch [43][500/3405] lr: 2.044e-02, eta: 1 day, 2:39:37, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9600, loss_cls: 3.6353, loss: 3.6353 2023-12-24 02:46:17,280 - pyskl - INFO - Epoch [43][600/3405] lr: 2.043e-02, eta: 1 day, 2:39:10, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9625, loss_cls: 3.5858, loss: 3.5858 2023-12-24 02:46:42,774 - pyskl - INFO - Epoch [43][700/3405] lr: 2.043e-02, eta: 1 day, 2:38:42, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9556, loss_cls: 3.6048, loss: 3.6048 2023-12-24 02:47:08,688 - pyskl - INFO - Epoch [43][800/3405] lr: 2.042e-02, eta: 1 day, 2:38:15, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9644, loss_cls: 3.5652, loss: 3.5652 2023-12-24 02:47:34,538 - pyskl - INFO - Epoch [43][900/3405] lr: 2.041e-02, eta: 1 day, 2:37:48, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9606, loss_cls: 3.5829, loss: 3.5829 2023-12-24 02:48:00,134 - pyskl - INFO - Epoch [43][1000/3405] lr: 2.041e-02, eta: 1 day, 2:37:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9569, loss_cls: 3.6512, loss: 3.6512 2023-12-24 02:48:25,711 - pyskl - INFO - Epoch [43][1100/3405] lr: 2.040e-02, eta: 1 day, 2:36:53, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7506, top5_acc: 0.9575, loss_cls: 3.6719, loss: 3.6719 2023-12-24 02:48:51,390 - pyskl - INFO - Epoch [43][1200/3405] lr: 2.040e-02, eta: 1 day, 2:36:26, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9575, loss_cls: 3.5877, loss: 3.5877 2023-12-24 02:49:17,198 - pyskl - INFO - Epoch [43][1300/3405] lr: 2.039e-02, eta: 1 day, 2:35:59, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9644, loss_cls: 3.5665, loss: 3.5665 2023-12-24 02:49:42,993 - pyskl - INFO - Epoch [43][1400/3405] lr: 2.038e-02, eta: 1 day, 2:35:32, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9594, loss_cls: 3.5708, loss: 3.5708 2023-12-24 02:50:08,517 - pyskl - INFO - Epoch [43][1500/3405] lr: 2.038e-02, eta: 1 day, 2:35:04, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9544, loss_cls: 3.6196, loss: 3.6196 2023-12-24 02:50:34,305 - pyskl - INFO - Epoch [43][1600/3405] lr: 2.037e-02, eta: 1 day, 2:34:37, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9625, loss_cls: 3.6165, loss: 3.6165 2023-12-24 02:50:59,838 - pyskl - INFO - Epoch [43][1700/3405] lr: 2.037e-02, eta: 1 day, 2:34:10, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7681, top5_acc: 0.9513, loss_cls: 3.6507, loss: 3.6507 2023-12-24 02:51:25,980 - pyskl - INFO - Epoch [43][1800/3405] lr: 2.036e-02, eta: 1 day, 2:33:44, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9525, loss_cls: 3.5817, loss: 3.5817 2023-12-24 02:51:51,504 - pyskl - INFO - Epoch [43][1900/3405] lr: 2.035e-02, eta: 1 day, 2:33:16, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9537, loss_cls: 3.6329, loss: 3.6329 2023-12-24 02:52:16,759 - pyskl - INFO - Epoch [43][2000/3405] lr: 2.035e-02, eta: 1 day, 2:32:48, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9606, loss_cls: 3.6177, loss: 3.6177 2023-12-24 02:52:42,174 - pyskl - INFO - Epoch [43][2100/3405] lr: 2.034e-02, eta: 1 day, 2:32:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9544, loss_cls: 3.6539, loss: 3.6539 2023-12-24 02:53:07,309 - pyskl - INFO - Epoch [43][2200/3405] lr: 2.034e-02, eta: 1 day, 2:31:51, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9537, loss_cls: 3.6257, loss: 3.6257 2023-12-24 02:53:32,717 - pyskl - INFO - Epoch [43][2300/3405] lr: 2.033e-02, eta: 1 day, 2:31:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9569, loss_cls: 3.6345, loss: 3.6345 2023-12-24 02:53:58,166 - pyskl - INFO - Epoch [43][2400/3405] lr: 2.032e-02, eta: 1 day, 2:30:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9619, loss_cls: 3.6626, loss: 3.6626 2023-12-24 02:54:23,205 - pyskl - INFO - Epoch [43][2500/3405] lr: 2.032e-02, eta: 1 day, 2:30:26, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9569, loss_cls: 3.6368, loss: 3.6368 2023-12-24 02:54:48,578 - pyskl - INFO - Epoch [43][2600/3405] lr: 2.031e-02, eta: 1 day, 2:29:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7488, top5_acc: 0.9544, loss_cls: 3.6982, loss: 3.6982 2023-12-24 02:55:13,652 - pyskl - INFO - Epoch [43][2700/3405] lr: 2.031e-02, eta: 1 day, 2:29:30, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7700, top5_acc: 0.9506, loss_cls: 3.6754, loss: 3.6754 2023-12-24 02:55:38,674 - pyskl - INFO - Epoch [43][2800/3405] lr: 2.030e-02, eta: 1 day, 2:29:01, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9563, loss_cls: 3.5625, loss: 3.5625 2023-12-24 02:56:03,881 - pyskl - INFO - Epoch [43][2900/3405] lr: 2.029e-02, eta: 1 day, 2:28:32, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7462, top5_acc: 0.9594, loss_cls: 3.6772, loss: 3.6772 2023-12-24 02:56:28,937 - pyskl - INFO - Epoch [43][3000/3405] lr: 2.029e-02, eta: 1 day, 2:28:04, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9663, loss_cls: 3.6350, loss: 3.6350 2023-12-24 02:56:54,060 - pyskl - INFO - Epoch [43][3100/3405] lr: 2.028e-02, eta: 1 day, 2:27:35, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7488, top5_acc: 0.9525, loss_cls: 3.6942, loss: 3.6942 2023-12-24 02:57:19,358 - pyskl - INFO - Epoch [43][3200/3405] lr: 2.028e-02, eta: 1 day, 2:27:07, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7525, top5_acc: 0.9425, loss_cls: 3.6976, loss: 3.6976 2023-12-24 02:57:44,546 - pyskl - INFO - Epoch [43][3300/3405] lr: 2.027e-02, eta: 1 day, 2:26:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9519, loss_cls: 3.6231, loss: 3.6231 2023-12-24 02:58:09,702 - pyskl - INFO - Epoch [43][3400/3405] lr: 2.026e-02, eta: 1 day, 2:26:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9600, loss_cls: 3.6421, loss: 3.6421 2023-12-24 02:58:11,834 - pyskl - INFO - Saving checkpoint at 43 epochs 2023-12-24 03:02:37,035 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:02:37,651 - pyskl - INFO - top1_acc 0.7388 top5_acc 0.9415 2023-12-24 03:02:37,676 - pyskl - INFO - Epoch(val) [43][3718] top1_acc: 0.7388, top5_acc: 0.9415 2023-12-24 03:03:30,630 - pyskl - INFO - Epoch [44][100/3405] lr: 2.026e-02, eta: 1 day, 2:26:46, time: 0.529, data_time: 0.278, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9650, loss_cls: 3.5634, loss: 3.5634 2023-12-24 03:03:55,795 - pyskl - INFO - Epoch [44][200/3405] lr: 2.025e-02, eta: 1 day, 2:26:17, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9619, loss_cls: 3.5864, loss: 3.5864 2023-12-24 03:04:20,971 - pyskl - INFO - Epoch [44][300/3405] lr: 2.025e-02, eta: 1 day, 2:25:49, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9631, loss_cls: 3.5775, loss: 3.5775 2023-12-24 03:04:46,422 - pyskl - INFO - Epoch [44][400/3405] lr: 2.024e-02, eta: 1 day, 2:25:21, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9694, loss_cls: 3.5763, loss: 3.5763 2023-12-24 03:05:11,926 - pyskl - INFO - Epoch [44][500/3405] lr: 2.023e-02, eta: 1 day, 2:24:53, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9581, loss_cls: 3.5729, loss: 3.5729 2023-12-24 03:05:37,248 - pyskl - INFO - Epoch [44][600/3405] lr: 2.023e-02, eta: 1 day, 2:24:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7700, top5_acc: 0.9519, loss_cls: 3.6339, loss: 3.6339 2023-12-24 03:06:03,733 - pyskl - INFO - Epoch [44][700/3405] lr: 2.022e-02, eta: 1 day, 2:24:00, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9600, loss_cls: 3.6081, loss: 3.6081 2023-12-24 03:06:29,522 - pyskl - INFO - Epoch [44][800/3405] lr: 2.022e-02, eta: 1 day, 2:23:33, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7712, top5_acc: 0.9675, loss_cls: 3.5966, loss: 3.5966 2023-12-24 03:06:55,241 - pyskl - INFO - Epoch [44][900/3405] lr: 2.021e-02, eta: 1 day, 2:23:06, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9531, loss_cls: 3.6522, loss: 3.6522 2023-12-24 03:07:20,572 - pyskl - INFO - Epoch [44][1000/3405] lr: 2.020e-02, eta: 1 day, 2:22:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7681, top5_acc: 0.9537, loss_cls: 3.6359, loss: 3.6359 2023-12-24 03:07:45,904 - pyskl - INFO - Epoch [44][1100/3405] lr: 2.020e-02, eta: 1 day, 2:22:09, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7788, top5_acc: 0.9575, loss_cls: 3.6068, loss: 3.6068 2023-12-24 03:08:11,166 - pyskl - INFO - Epoch [44][1200/3405] lr: 2.019e-02, eta: 1 day, 2:21:41, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9619, loss_cls: 3.6155, loss: 3.6155 2023-12-24 03:08:36,993 - pyskl - INFO - Epoch [44][1300/3405] lr: 2.019e-02, eta: 1 day, 2:21:14, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9619, loss_cls: 3.5683, loss: 3.5683 2023-12-24 03:09:02,788 - pyskl - INFO - Epoch [44][1400/3405] lr: 2.018e-02, eta: 1 day, 2:20:47, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9569, loss_cls: 3.6167, loss: 3.6167 2023-12-24 03:09:28,357 - pyskl - INFO - Epoch [44][1500/3405] lr: 2.017e-02, eta: 1 day, 2:20:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9600, loss_cls: 3.5525, loss: 3.5525 2023-12-24 03:09:54,059 - pyskl - INFO - Epoch [44][1600/3405] lr: 2.017e-02, eta: 1 day, 2:19:52, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9550, loss_cls: 3.6160, loss: 3.6160 2023-12-24 03:10:19,579 - pyskl - INFO - Epoch [44][1700/3405] lr: 2.016e-02, eta: 1 day, 2:19:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9600, loss_cls: 3.6393, loss: 3.6393 2023-12-24 03:10:44,926 - pyskl - INFO - Epoch [44][1800/3405] lr: 2.016e-02, eta: 1 day, 2:18:57, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9569, loss_cls: 3.6208, loss: 3.6208 2023-12-24 03:11:10,235 - pyskl - INFO - Epoch [44][1900/3405] lr: 2.015e-02, eta: 1 day, 2:18:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9656, loss_cls: 3.5849, loss: 3.5849 2023-12-24 03:11:35,472 - pyskl - INFO - Epoch [44][2000/3405] lr: 2.014e-02, eta: 1 day, 2:18:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9644, loss_cls: 3.5833, loss: 3.5833 2023-12-24 03:12:00,722 - pyskl - INFO - Epoch [44][2100/3405] lr: 2.014e-02, eta: 1 day, 2:17:32, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9600, loss_cls: 3.6206, loss: 3.6206 2023-12-24 03:12:26,637 - pyskl - INFO - Epoch [44][2200/3405] lr: 2.013e-02, eta: 1 day, 2:17:05, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9575, loss_cls: 3.5870, loss: 3.5870 2023-12-24 03:12:51,897 - pyskl - INFO - Epoch [44][2300/3405] lr: 2.013e-02, eta: 1 day, 2:16:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9519, loss_cls: 3.6721, loss: 3.6721 2023-12-24 03:13:17,481 - pyskl - INFO - Epoch [44][2400/3405] lr: 2.012e-02, eta: 1 day, 2:16:10, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9619, loss_cls: 3.6201, loss: 3.6201 2023-12-24 03:13:43,135 - pyskl - INFO - Epoch [44][2500/3405] lr: 2.011e-02, eta: 1 day, 2:15:42, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7712, top5_acc: 0.9544, loss_cls: 3.6200, loss: 3.6200 2023-12-24 03:14:08,338 - pyskl - INFO - Epoch [44][2600/3405] lr: 2.011e-02, eta: 1 day, 2:15:14, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9587, loss_cls: 3.6704, loss: 3.6704 2023-12-24 03:14:33,435 - pyskl - INFO - Epoch [44][2700/3405] lr: 2.010e-02, eta: 1 day, 2:14:45, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7837, top5_acc: 0.9606, loss_cls: 3.5985, loss: 3.5985 2023-12-24 03:14:58,572 - pyskl - INFO - Epoch [44][2800/3405] lr: 2.009e-02, eta: 1 day, 2:14:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9581, loss_cls: 3.5918, loss: 3.5918 2023-12-24 03:15:23,701 - pyskl - INFO - Epoch [44][2900/3405] lr: 2.009e-02, eta: 1 day, 2:13:48, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7788, top5_acc: 0.9606, loss_cls: 3.6182, loss: 3.6182 2023-12-24 03:15:49,315 - pyskl - INFO - Epoch [44][3000/3405] lr: 2.008e-02, eta: 1 day, 2:13:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7725, top5_acc: 0.9606, loss_cls: 3.6262, loss: 3.6262 2023-12-24 03:16:15,677 - pyskl - INFO - Epoch [44][3100/3405] lr: 2.008e-02, eta: 1 day, 2:12:55, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9469, loss_cls: 3.6041, loss: 3.6041 2023-12-24 03:16:40,876 - pyskl - INFO - Epoch [44][3200/3405] lr: 2.007e-02, eta: 1 day, 2:12:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9575, loss_cls: 3.5845, loss: 3.5845 2023-12-24 03:17:06,140 - pyskl - INFO - Epoch [44][3300/3405] lr: 2.006e-02, eta: 1 day, 2:11:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9644, loss_cls: 3.5947, loss: 3.5947 2023-12-24 03:17:31,717 - pyskl - INFO - Epoch [44][3400/3405] lr: 2.006e-02, eta: 1 day, 2:11:31, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9700, loss_cls: 3.5454, loss: 3.5454 2023-12-24 03:17:33,693 - pyskl - INFO - Saving checkpoint at 44 epochs 2023-12-24 03:21:56,698 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:21:57,305 - pyskl - INFO - top1_acc 0.7480 top5_acc 0.9447 2023-12-24 03:21:57,330 - pyskl - INFO - Epoch(val) [44][3718] top1_acc: 0.7480, top5_acc: 0.9447 2023-12-24 03:22:50,414 - pyskl - INFO - Epoch [45][100/3405] lr: 2.005e-02, eta: 1 day, 2:12:06, time: 0.531, data_time: 0.276, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9575, loss_cls: 3.6050, loss: 3.6050 2023-12-24 03:23:16,042 - pyskl - INFO - Epoch [45][200/3405] lr: 2.005e-02, eta: 1 day, 2:11:38, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9569, loss_cls: 3.5723, loss: 3.5723 2023-12-24 03:23:41,449 - pyskl - INFO - Epoch [45][300/3405] lr: 2.004e-02, eta: 1 day, 2:11:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9581, loss_cls: 3.5796, loss: 3.5796 2023-12-24 03:24:06,953 - pyskl - INFO - Epoch [45][400/3405] lr: 2.003e-02, eta: 1 day, 2:10:43, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9650, loss_cls: 3.5980, loss: 3.5980 2023-12-24 03:24:32,471 - pyskl - INFO - Epoch [45][500/3405] lr: 2.003e-02, eta: 1 day, 2:10:15, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9669, loss_cls: 3.5797, loss: 3.5797 2023-12-24 03:24:57,900 - pyskl - INFO - Epoch [45][600/3405] lr: 2.002e-02, eta: 1 day, 2:09:47, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7869, top5_acc: 0.9537, loss_cls: 3.6068, loss: 3.6068 2023-12-24 03:25:23,337 - pyskl - INFO - Epoch [45][700/3405] lr: 2.001e-02, eta: 1 day, 2:09:19, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9550, loss_cls: 3.5658, loss: 3.5658 2023-12-24 03:25:48,821 - pyskl - INFO - Epoch [45][800/3405] lr: 2.001e-02, eta: 1 day, 2:08:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9587, loss_cls: 3.5837, loss: 3.5837 2023-12-24 03:26:14,147 - pyskl - INFO - Epoch [45][900/3405] lr: 2.000e-02, eta: 1 day, 2:08:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7756, top5_acc: 0.9762, loss_cls: 3.5774, loss: 3.5774 2023-12-24 03:26:39,430 - pyskl - INFO - Epoch [45][1000/3405] lr: 2.000e-02, eta: 1 day, 2:07:55, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9656, loss_cls: 3.5707, loss: 3.5707 2023-12-24 03:27:04,781 - pyskl - INFO - Epoch [45][1100/3405] lr: 1.999e-02, eta: 1 day, 2:07:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8025, top5_acc: 0.9681, loss_cls: 3.5074, loss: 3.5074 2023-12-24 03:27:30,077 - pyskl - INFO - Epoch [45][1200/3405] lr: 1.998e-02, eta: 1 day, 2:06:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9631, loss_cls: 3.5862, loss: 3.5862 2023-12-24 03:27:55,563 - pyskl - INFO - Epoch [45][1300/3405] lr: 1.998e-02, eta: 1 day, 2:06:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7581, top5_acc: 0.9606, loss_cls: 3.6465, loss: 3.6465 2023-12-24 03:28:21,575 - pyskl - INFO - Epoch [45][1400/3405] lr: 1.997e-02, eta: 1 day, 2:06:05, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7775, top5_acc: 0.9569, loss_cls: 3.6193, loss: 3.6193 2023-12-24 03:28:47,395 - pyskl - INFO - Epoch [45][1500/3405] lr: 1.997e-02, eta: 1 day, 2:05:38, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9631, loss_cls: 3.5450, loss: 3.5450 2023-12-24 03:29:13,768 - pyskl - INFO - Epoch [45][1600/3405] lr: 1.996e-02, eta: 1 day, 2:05:13, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9600, loss_cls: 3.6130, loss: 3.6130 2023-12-24 03:29:40,414 - pyskl - INFO - Epoch [45][1700/3405] lr: 1.995e-02, eta: 1 day, 2:04:48, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9550, loss_cls: 3.6498, loss: 3.6498 2023-12-24 03:30:07,065 - pyskl - INFO - Epoch [45][1800/3405] lr: 1.995e-02, eta: 1 day, 2:04:23, time: 0.267, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9631, loss_cls: 3.5898, loss: 3.5898 2023-12-24 03:30:32,945 - pyskl - INFO - Epoch [45][1900/3405] lr: 1.994e-02, eta: 1 day, 2:03:56, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7681, top5_acc: 0.9619, loss_cls: 3.6271, loss: 3.6271 2023-12-24 03:30:58,381 - pyskl - INFO - Epoch [45][2000/3405] lr: 1.993e-02, eta: 1 day, 2:03:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7769, top5_acc: 0.9613, loss_cls: 3.6067, loss: 3.6067 2023-12-24 03:31:23,472 - pyskl - INFO - Epoch [45][2100/3405] lr: 1.993e-02, eta: 1 day, 2:03:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7556, top5_acc: 0.9531, loss_cls: 3.6728, loss: 3.6728 2023-12-24 03:31:48,681 - pyskl - INFO - Epoch [45][2200/3405] lr: 1.992e-02, eta: 1 day, 2:02:31, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9550, loss_cls: 3.6257, loss: 3.6257 2023-12-24 03:32:14,042 - pyskl - INFO - Epoch [45][2300/3405] lr: 1.992e-02, eta: 1 day, 2:02:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7806, top5_acc: 0.9613, loss_cls: 3.6135, loss: 3.6135 2023-12-24 03:32:39,715 - pyskl - INFO - Epoch [45][2400/3405] lr: 1.991e-02, eta: 1 day, 2:01:36, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9581, loss_cls: 3.6457, loss: 3.6457 2023-12-24 03:33:04,905 - pyskl - INFO - Epoch [45][2500/3405] lr: 1.990e-02, eta: 1 day, 2:01:08, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9594, loss_cls: 3.6128, loss: 3.6128 2023-12-24 03:33:30,574 - pyskl - INFO - Epoch [45][2600/3405] lr: 1.990e-02, eta: 1 day, 2:00:41, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9519, loss_cls: 3.6500, loss: 3.6500 2023-12-24 03:33:57,042 - pyskl - INFO - Epoch [45][2700/3405] lr: 1.989e-02, eta: 1 day, 2:00:15, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9569, loss_cls: 3.6351, loss: 3.6351 2023-12-24 03:34:23,250 - pyskl - INFO - Epoch [45][2800/3405] lr: 1.988e-02, eta: 1 day, 1:59:49, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9631, loss_cls: 3.5907, loss: 3.5907 2023-12-24 03:34:48,388 - pyskl - INFO - Epoch [45][2900/3405] lr: 1.988e-02, eta: 1 day, 1:59:21, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9581, loss_cls: 3.6045, loss: 3.6045 2023-12-24 03:35:13,492 - pyskl - INFO - Epoch [45][3000/3405] lr: 1.987e-02, eta: 1 day, 1:58:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9606, loss_cls: 3.6137, loss: 3.6137 2023-12-24 03:35:38,582 - pyskl - INFO - Epoch [45][3100/3405] lr: 1.987e-02, eta: 1 day, 1:58:24, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7662, top5_acc: 0.9594, loss_cls: 3.6234, loss: 3.6234 2023-12-24 03:36:03,719 - pyskl - INFO - Epoch [45][3200/3405] lr: 1.986e-02, eta: 1 day, 1:57:55, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9494, loss_cls: 3.6565, loss: 3.6565 2023-12-24 03:36:28,948 - pyskl - INFO - Epoch [45][3300/3405] lr: 1.985e-02, eta: 1 day, 1:57:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7769, top5_acc: 0.9606, loss_cls: 3.6388, loss: 3.6388 2023-12-24 03:36:54,065 - pyskl - INFO - Epoch [45][3400/3405] lr: 1.985e-02, eta: 1 day, 1:56:59, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9625, loss_cls: 3.6003, loss: 3.6003 2023-12-24 03:36:56,111 - pyskl - INFO - Saving checkpoint at 45 epochs 2023-12-24 03:41:19,692 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:41:20,296 - pyskl - INFO - top1_acc 0.7592 top5_acc 0.9497 2023-12-24 03:41:20,321 - pyskl - INFO - Epoch(val) [45][3718] top1_acc: 0.7592, top5_acc: 0.9497 2023-12-24 03:42:12,355 - pyskl - INFO - Epoch [46][100/3405] lr: 1.984e-02, eta: 1 day, 1:57:28, time: 0.520, data_time: 0.268, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9625, loss_cls: 3.5749, loss: 3.5749 2023-12-24 03:42:37,260 - pyskl - INFO - Epoch [46][200/3405] lr: 1.983e-02, eta: 1 day, 1:56:59, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9637, loss_cls: 3.5945, loss: 3.5945 2023-12-24 03:43:02,305 - pyskl - INFO - Epoch [46][300/3405] lr: 1.983e-02, eta: 1 day, 1:56:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9688, loss_cls: 3.5661, loss: 3.5661 2023-12-24 03:43:28,192 - pyskl - INFO - Epoch [46][400/3405] lr: 1.982e-02, eta: 1 day, 1:56:04, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9644, loss_cls: 3.5733, loss: 3.5733 2023-12-24 03:43:53,546 - pyskl - INFO - Epoch [46][500/3405] lr: 1.982e-02, eta: 1 day, 1:55:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9625, loss_cls: 3.5681, loss: 3.5681 2023-12-24 03:44:19,123 - pyskl - INFO - Epoch [46][600/3405] lr: 1.981e-02, eta: 1 day, 1:55:09, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9631, loss_cls: 3.5733, loss: 3.5733 2023-12-24 03:44:44,590 - pyskl - INFO - Epoch [46][700/3405] lr: 1.980e-02, eta: 1 day, 1:54:41, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9656, loss_cls: 3.5573, loss: 3.5573 2023-12-24 03:45:10,176 - pyskl - INFO - Epoch [46][800/3405] lr: 1.980e-02, eta: 1 day, 1:54:13, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9650, loss_cls: 3.5485, loss: 3.5485 2023-12-24 03:45:35,770 - pyskl - INFO - Epoch [46][900/3405] lr: 1.979e-02, eta: 1 day, 1:53:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9544, loss_cls: 3.6041, loss: 3.6041 2023-12-24 03:46:01,248 - pyskl - INFO - Epoch [46][1000/3405] lr: 1.979e-02, eta: 1 day, 1:53:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9506, loss_cls: 3.5962, loss: 3.5962 2023-12-24 03:46:26,472 - pyskl - INFO - Epoch [46][1100/3405] lr: 1.978e-02, eta: 1 day, 1:52:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9600, loss_cls: 3.5569, loss: 3.5569 2023-12-24 03:46:51,511 - pyskl - INFO - Epoch [46][1200/3405] lr: 1.977e-02, eta: 1 day, 1:52:21, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7869, top5_acc: 0.9644, loss_cls: 3.5977, loss: 3.5977 2023-12-24 03:47:16,649 - pyskl - INFO - Epoch [46][1300/3405] lr: 1.977e-02, eta: 1 day, 1:51:53, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9581, loss_cls: 3.6185, loss: 3.6185 2023-12-24 03:47:42,261 - pyskl - INFO - Epoch [46][1400/3405] lr: 1.976e-02, eta: 1 day, 1:51:26, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7550, top5_acc: 0.9519, loss_cls: 3.6910, loss: 3.6910 2023-12-24 03:48:08,136 - pyskl - INFO - Epoch [46][1500/3405] lr: 1.975e-02, eta: 1 day, 1:50:59, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9663, loss_cls: 3.5501, loss: 3.5501 2023-12-24 03:48:33,552 - pyskl - INFO - Epoch [46][1600/3405] lr: 1.975e-02, eta: 1 day, 1:50:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9481, loss_cls: 3.6636, loss: 3.6636 2023-12-24 03:48:58,961 - pyskl - INFO - Epoch [46][1700/3405] lr: 1.974e-02, eta: 1 day, 1:50:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9594, loss_cls: 3.5928, loss: 3.5928 2023-12-24 03:49:24,430 - pyskl - INFO - Epoch [46][1800/3405] lr: 1.973e-02, eta: 1 day, 1:49:35, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7806, top5_acc: 0.9587, loss_cls: 3.6300, loss: 3.6300 2023-12-24 03:49:50,245 - pyskl - INFO - Epoch [46][1900/3405] lr: 1.973e-02, eta: 1 day, 1:49:09, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7619, top5_acc: 0.9531, loss_cls: 3.6497, loss: 3.6497 2023-12-24 03:50:15,713 - pyskl - INFO - Epoch [46][2000/3405] lr: 1.972e-02, eta: 1 day, 1:48:41, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9587, loss_cls: 3.5939, loss: 3.5939 2023-12-24 03:50:42,083 - pyskl - INFO - Epoch [46][2100/3405] lr: 1.972e-02, eta: 1 day, 1:48:15, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.7756, top5_acc: 0.9587, loss_cls: 3.5973, loss: 3.5973 2023-12-24 03:51:07,956 - pyskl - INFO - Epoch [46][2200/3405] lr: 1.971e-02, eta: 1 day, 1:47:49, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9587, loss_cls: 3.5879, loss: 3.5879 2023-12-24 03:51:33,556 - pyskl - INFO - Epoch [46][2300/3405] lr: 1.970e-02, eta: 1 day, 1:47:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9656, loss_cls: 3.5975, loss: 3.5975 2023-12-24 03:51:58,985 - pyskl - INFO - Epoch [46][2400/3405] lr: 1.970e-02, eta: 1 day, 1:46:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9525, loss_cls: 3.6562, loss: 3.6562 2023-12-24 03:52:24,348 - pyskl - INFO - Epoch [46][2500/3405] lr: 1.969e-02, eta: 1 day, 1:46:26, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7775, top5_acc: 0.9613, loss_cls: 3.6042, loss: 3.6042 2023-12-24 03:52:50,078 - pyskl - INFO - Epoch [46][2600/3405] lr: 1.968e-02, eta: 1 day, 1:45:59, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9500, loss_cls: 3.6699, loss: 3.6699 2023-12-24 03:53:15,422 - pyskl - INFO - Epoch [46][2700/3405] lr: 1.968e-02, eta: 1 day, 1:45:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9550, loss_cls: 3.5934, loss: 3.5934 2023-12-24 03:53:40,649 - pyskl - INFO - Epoch [46][2800/3405] lr: 1.967e-02, eta: 1 day, 1:45:02, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7788, top5_acc: 0.9581, loss_cls: 3.5982, loss: 3.5982 2023-12-24 03:54:05,765 - pyskl - INFO - Epoch [46][2900/3405] lr: 1.967e-02, eta: 1 day, 1:44:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9650, loss_cls: 3.5588, loss: 3.5588 2023-12-24 03:54:30,972 - pyskl - INFO - Epoch [46][3000/3405] lr: 1.966e-02, eta: 1 day, 1:44:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9656, loss_cls: 3.5760, loss: 3.5760 2023-12-24 03:54:56,455 - pyskl - INFO - Epoch [46][3100/3405] lr: 1.965e-02, eta: 1 day, 1:43:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8006, top5_acc: 0.9669, loss_cls: 3.5011, loss: 3.5011 2023-12-24 03:55:21,802 - pyskl - INFO - Epoch [46][3200/3405] lr: 1.965e-02, eta: 1 day, 1:43:10, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9637, loss_cls: 3.6369, loss: 3.6369 2023-12-24 03:55:46,951 - pyskl - INFO - Epoch [46][3300/3405] lr: 1.964e-02, eta: 1 day, 1:42:42, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7662, top5_acc: 0.9500, loss_cls: 3.6443, loss: 3.6443 2023-12-24 03:56:12,121 - pyskl - INFO - Epoch [46][3400/3405] lr: 1.963e-02, eta: 1 day, 1:42:14, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9581, loss_cls: 3.6066, loss: 3.6066 2023-12-24 03:56:14,040 - pyskl - INFO - Saving checkpoint at 46 epochs 2023-12-24 04:00:37,179 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:00:37,793 - pyskl - INFO - top1_acc 0.7587 top5_acc 0.9486 2023-12-24 04:00:37,818 - pyskl - INFO - Epoch(val) [46][3718] top1_acc: 0.7587, top5_acc: 0.9486 2023-12-24 04:01:30,517 - pyskl - INFO - Epoch [47][100/3405] lr: 1.963e-02, eta: 1 day, 1:42:43, time: 0.527, data_time: 0.274, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9569, loss_cls: 3.5833, loss: 3.5833 2023-12-24 04:01:55,742 - pyskl - INFO - Epoch [47][200/3405] lr: 1.962e-02, eta: 1 day, 1:42:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9675, loss_cls: 3.5626, loss: 3.5626 2023-12-24 04:02:21,160 - pyskl - INFO - Epoch [47][300/3405] lr: 1.962e-02, eta: 1 day, 1:41:47, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9637, loss_cls: 3.5590, loss: 3.5590 2023-12-24 04:02:46,507 - pyskl - INFO - Epoch [47][400/3405] lr: 1.961e-02, eta: 1 day, 1:41:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9594, loss_cls: 3.6009, loss: 3.6009 2023-12-24 04:03:11,842 - pyskl - INFO - Epoch [47][500/3405] lr: 1.960e-02, eta: 1 day, 1:40:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9569, loss_cls: 3.6272, loss: 3.6272 2023-12-24 04:03:37,473 - pyskl - INFO - Epoch [47][600/3405] lr: 1.960e-02, eta: 1 day, 1:40:24, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9606, loss_cls: 3.5113, loss: 3.5113 2023-12-24 04:04:03,171 - pyskl - INFO - Epoch [47][700/3405] lr: 1.959e-02, eta: 1 day, 1:39:57, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9644, loss_cls: 3.5214, loss: 3.5214 2023-12-24 04:04:29,006 - pyskl - INFO - Epoch [47][800/3405] lr: 1.958e-02, eta: 1 day, 1:39:30, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7931, top5_acc: 0.9625, loss_cls: 3.5618, loss: 3.5618 2023-12-24 04:04:54,587 - pyskl - INFO - Epoch [47][900/3405] lr: 1.958e-02, eta: 1 day, 1:39:03, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9594, loss_cls: 3.5872, loss: 3.5872 2023-12-24 04:05:20,122 - pyskl - INFO - Epoch [47][1000/3405] lr: 1.957e-02, eta: 1 day, 1:38:35, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9594, loss_cls: 3.6124, loss: 3.6124 2023-12-24 04:05:45,568 - pyskl - INFO - Epoch [47][1100/3405] lr: 1.956e-02, eta: 1 day, 1:38:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9706, loss_cls: 3.4926, loss: 3.4926 2023-12-24 04:06:11,113 - pyskl - INFO - Epoch [47][1200/3405] lr: 1.956e-02, eta: 1 day, 1:37:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9587, loss_cls: 3.6223, loss: 3.6223 2023-12-24 04:06:36,556 - pyskl - INFO - Epoch [47][1300/3405] lr: 1.955e-02, eta: 1 day, 1:37:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9619, loss_cls: 3.5552, loss: 3.5552 2023-12-24 04:07:02,361 - pyskl - INFO - Epoch [47][1400/3405] lr: 1.955e-02, eta: 1 day, 1:36:45, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9556, loss_cls: 3.5721, loss: 3.5721 2023-12-24 04:07:28,135 - pyskl - INFO - Epoch [47][1500/3405] lr: 1.954e-02, eta: 1 day, 1:36:18, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7700, top5_acc: 0.9600, loss_cls: 3.6055, loss: 3.6055 2023-12-24 04:07:53,749 - pyskl - INFO - Epoch [47][1600/3405] lr: 1.953e-02, eta: 1 day, 1:35:51, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7844, top5_acc: 0.9581, loss_cls: 3.5869, loss: 3.5869 2023-12-24 04:08:19,400 - pyskl - INFO - Epoch [47][1700/3405] lr: 1.953e-02, eta: 1 day, 1:35:24, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9631, loss_cls: 3.5544, loss: 3.5544 2023-12-24 04:08:45,123 - pyskl - INFO - Epoch [47][1800/3405] lr: 1.952e-02, eta: 1 day, 1:34:57, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9563, loss_cls: 3.6510, loss: 3.6510 2023-12-24 04:09:10,977 - pyskl - INFO - Epoch [47][1900/3405] lr: 1.951e-02, eta: 1 day, 1:34:30, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7756, top5_acc: 0.9644, loss_cls: 3.6012, loss: 3.6012 2023-12-24 04:09:36,168 - pyskl - INFO - Epoch [47][2000/3405] lr: 1.951e-02, eta: 1 day, 1:34:02, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9600, loss_cls: 3.5875, loss: 3.5875 2023-12-24 04:10:02,075 - pyskl - INFO - Epoch [47][2100/3405] lr: 1.950e-02, eta: 1 day, 1:33:35, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9600, loss_cls: 3.6051, loss: 3.6051 2023-12-24 04:10:27,530 - pyskl - INFO - Epoch [47][2200/3405] lr: 1.949e-02, eta: 1 day, 1:33:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9675, loss_cls: 3.5699, loss: 3.5699 2023-12-24 04:10:53,044 - pyskl - INFO - Epoch [47][2300/3405] lr: 1.949e-02, eta: 1 day, 1:32:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9587, loss_cls: 3.6065, loss: 3.6065 2023-12-24 04:11:18,300 - pyskl - INFO - Epoch [47][2400/3405] lr: 1.948e-02, eta: 1 day, 1:32:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9581, loss_cls: 3.5936, loss: 3.5936 2023-12-24 04:11:43,733 - pyskl - INFO - Epoch [47][2500/3405] lr: 1.948e-02, eta: 1 day, 1:31:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9544, loss_cls: 3.6303, loss: 3.6303 2023-12-24 04:12:08,835 - pyskl - INFO - Epoch [47][2600/3405] lr: 1.947e-02, eta: 1 day, 1:31:16, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9637, loss_cls: 3.6248, loss: 3.6248 2023-12-24 04:12:34,230 - pyskl - INFO - Epoch [47][2700/3405] lr: 1.946e-02, eta: 1 day, 1:30:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7600, top5_acc: 0.9513, loss_cls: 3.6672, loss: 3.6672 2023-12-24 04:12:59,479 - pyskl - INFO - Epoch [47][2800/3405] lr: 1.946e-02, eta: 1 day, 1:30:20, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9569, loss_cls: 3.6037, loss: 3.6037 2023-12-24 04:13:24,701 - pyskl - INFO - Epoch [47][2900/3405] lr: 1.945e-02, eta: 1 day, 1:29:52, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9587, loss_cls: 3.5967, loss: 3.5967 2023-12-24 04:13:49,980 - pyskl - INFO - Epoch [47][3000/3405] lr: 1.944e-02, eta: 1 day, 1:29:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9637, loss_cls: 3.6151, loss: 3.6151 2023-12-24 04:14:15,214 - pyskl - INFO - Epoch [47][3100/3405] lr: 1.944e-02, eta: 1 day, 1:28:55, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9556, loss_cls: 3.6466, loss: 3.6466 2023-12-24 04:14:40,434 - pyskl - INFO - Epoch [47][3200/3405] lr: 1.943e-02, eta: 1 day, 1:28:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9569, loss_cls: 3.6347, loss: 3.6347 2023-12-24 04:15:05,722 - pyskl - INFO - Epoch [47][3300/3405] lr: 1.942e-02, eta: 1 day, 1:27:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9631, loss_cls: 3.5814, loss: 3.5814 2023-12-24 04:15:30,921 - pyskl - INFO - Epoch [47][3400/3405] lr: 1.942e-02, eta: 1 day, 1:27:31, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7769, top5_acc: 0.9569, loss_cls: 3.6386, loss: 3.6386 2023-12-24 04:15:32,930 - pyskl - INFO - Saving checkpoint at 47 epochs 2023-12-24 04:19:56,022 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:19:56,650 - pyskl - INFO - top1_acc 0.7550 top5_acc 0.9446 2023-12-24 04:19:56,677 - pyskl - INFO - Epoch(val) [47][3718] top1_acc: 0.7550, top5_acc: 0.9446 2023-12-24 04:20:48,992 - pyskl - INFO - Epoch [48][100/3405] lr: 1.941e-02, eta: 1 day, 1:27:58, time: 0.523, data_time: 0.271, memory: 5236, top1_acc: 0.8137, top5_acc: 0.9631, loss_cls: 3.5156, loss: 3.5156 2023-12-24 04:21:14,305 - pyskl - INFO - Epoch [48][200/3405] lr: 1.940e-02, eta: 1 day, 1:27:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8056, top5_acc: 0.9700, loss_cls: 3.5317, loss: 3.5317 2023-12-24 04:21:39,373 - pyskl - INFO - Epoch [48][300/3405] lr: 1.940e-02, eta: 1 day, 1:27:02, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9625, loss_cls: 3.5596, loss: 3.5596 2023-12-24 04:22:04,678 - pyskl - INFO - Epoch [48][400/3405] lr: 1.939e-02, eta: 1 day, 1:26:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7925, top5_acc: 0.9681, loss_cls: 3.5487, loss: 3.5487 2023-12-24 04:22:29,922 - pyskl - INFO - Epoch [48][500/3405] lr: 1.939e-02, eta: 1 day, 1:26:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9625, loss_cls: 3.5931, loss: 3.5931 2023-12-24 04:22:55,257 - pyskl - INFO - Epoch [48][600/3405] lr: 1.938e-02, eta: 1 day, 1:25:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9631, loss_cls: 3.5977, loss: 3.5977 2023-12-24 04:23:20,844 - pyskl - INFO - Epoch [48][700/3405] lr: 1.937e-02, eta: 1 day, 1:25:10, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7944, top5_acc: 0.9706, loss_cls: 3.5288, loss: 3.5288 2023-12-24 04:23:46,459 - pyskl - INFO - Epoch [48][800/3405] lr: 1.937e-02, eta: 1 day, 1:24:43, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7837, top5_acc: 0.9669, loss_cls: 3.5828, loss: 3.5828 2023-12-24 04:24:12,119 - pyskl - INFO - Epoch [48][900/3405] lr: 1.936e-02, eta: 1 day, 1:24:16, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9581, loss_cls: 3.5917, loss: 3.5917 2023-12-24 04:24:38,054 - pyskl - INFO - Epoch [48][1000/3405] lr: 1.935e-02, eta: 1 day, 1:23:49, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8044, top5_acc: 0.9656, loss_cls: 3.5253, loss: 3.5253 2023-12-24 04:25:03,508 - pyskl - INFO - Epoch [48][1100/3405] lr: 1.935e-02, eta: 1 day, 1:23:21, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9613, loss_cls: 3.6041, loss: 3.6041 2023-12-24 04:25:28,998 - pyskl - INFO - Epoch [48][1200/3405] lr: 1.934e-02, eta: 1 day, 1:22:54, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9669, loss_cls: 3.5416, loss: 3.5416 2023-12-24 04:25:54,905 - pyskl - INFO - Epoch [48][1300/3405] lr: 1.933e-02, eta: 1 day, 1:22:27, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9637, loss_cls: 3.5884, loss: 3.5884 2023-12-24 04:26:20,433 - pyskl - INFO - Epoch [48][1400/3405] lr: 1.933e-02, eta: 1 day, 1:22:00, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9537, loss_cls: 3.5881, loss: 3.5881 2023-12-24 04:26:46,480 - pyskl - INFO - Epoch [48][1500/3405] lr: 1.932e-02, eta: 1 day, 1:21:33, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7806, top5_acc: 0.9619, loss_cls: 3.5856, loss: 3.5856 2023-12-24 04:27:11,972 - pyskl - INFO - Epoch [48][1600/3405] lr: 1.931e-02, eta: 1 day, 1:21:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7769, top5_acc: 0.9606, loss_cls: 3.5988, loss: 3.5988 2023-12-24 04:27:37,585 - pyskl - INFO - Epoch [48][1700/3405] lr: 1.931e-02, eta: 1 day, 1:20:39, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9531, loss_cls: 3.6069, loss: 3.6069 2023-12-24 04:28:03,494 - pyskl - INFO - Epoch [48][1800/3405] lr: 1.930e-02, eta: 1 day, 1:20:12, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9688, loss_cls: 3.5172, loss: 3.5172 2023-12-24 04:28:29,103 - pyskl - INFO - Epoch [48][1900/3405] lr: 1.930e-02, eta: 1 day, 1:19:45, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9550, loss_cls: 3.6031, loss: 3.6031 2023-12-24 04:28:55,629 - pyskl - INFO - Epoch [48][2000/3405] lr: 1.929e-02, eta: 1 day, 1:19:19, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.7775, top5_acc: 0.9700, loss_cls: 3.5925, loss: 3.5925 2023-12-24 04:29:21,700 - pyskl - INFO - Epoch [48][2100/3405] lr: 1.928e-02, eta: 1 day, 1:18:53, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9631, loss_cls: 3.5706, loss: 3.5706 2023-12-24 04:29:47,136 - pyskl - INFO - Epoch [48][2200/3405] lr: 1.928e-02, eta: 1 day, 1:18:25, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7806, top5_acc: 0.9587, loss_cls: 3.6240, loss: 3.6240 2023-12-24 04:30:13,461 - pyskl - INFO - Epoch [48][2300/3405] lr: 1.927e-02, eta: 1 day, 1:18:00, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9613, loss_cls: 3.5809, loss: 3.5809 2023-12-24 04:30:38,887 - pyskl - INFO - Epoch [48][2400/3405] lr: 1.926e-02, eta: 1 day, 1:17:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9594, loss_cls: 3.6348, loss: 3.6348 2023-12-24 04:31:04,750 - pyskl - INFO - Epoch [48][2500/3405] lr: 1.926e-02, eta: 1 day, 1:17:05, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9581, loss_cls: 3.6190, loss: 3.6190 2023-12-24 04:31:30,322 - pyskl - INFO - Epoch [48][2600/3405] lr: 1.925e-02, eta: 1 day, 1:16:38, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9575, loss_cls: 3.6276, loss: 3.6276 2023-12-24 04:31:55,728 - pyskl - INFO - Epoch [48][2700/3405] lr: 1.924e-02, eta: 1 day, 1:16:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9644, loss_cls: 3.5826, loss: 3.5826 2023-12-24 04:32:20,987 - pyskl - INFO - Epoch [48][2800/3405] lr: 1.924e-02, eta: 1 day, 1:15:42, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7719, top5_acc: 0.9637, loss_cls: 3.6263, loss: 3.6263 2023-12-24 04:32:46,421 - pyskl - INFO - Epoch [48][2900/3405] lr: 1.923e-02, eta: 1 day, 1:15:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7844, top5_acc: 0.9625, loss_cls: 3.5783, loss: 3.5783 2023-12-24 04:33:11,632 - pyskl - INFO - Epoch [48][3000/3405] lr: 1.922e-02, eta: 1 day, 1:14:46, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9606, loss_cls: 3.5934, loss: 3.5934 2023-12-24 04:33:36,742 - pyskl - INFO - Epoch [48][3100/3405] lr: 1.922e-02, eta: 1 day, 1:14:18, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9563, loss_cls: 3.6184, loss: 3.6184 2023-12-24 04:34:02,886 - pyskl - INFO - Epoch [48][3200/3405] lr: 1.921e-02, eta: 1 day, 1:13:52, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.7644, top5_acc: 0.9569, loss_cls: 3.6539, loss: 3.6539 2023-12-24 04:34:29,352 - pyskl - INFO - Epoch [48][3300/3405] lr: 1.920e-02, eta: 1 day, 1:13:26, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9575, loss_cls: 3.6237, loss: 3.6237 2023-12-24 04:34:55,857 - pyskl - INFO - Epoch [48][3400/3405] lr: 1.920e-02, eta: 1 day, 1:13:01, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9563, loss_cls: 3.6195, loss: 3.6195 2023-12-24 04:34:57,924 - pyskl - INFO - Saving checkpoint at 48 epochs 2023-12-24 04:39:20,711 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:39:21,321 - pyskl - INFO - top1_acc 0.7546 top5_acc 0.9450 2023-12-24 04:39:21,347 - pyskl - INFO - Epoch(val) [48][3718] top1_acc: 0.7546, top5_acc: 0.9450 2023-12-24 04:40:13,510 - pyskl - INFO - Epoch [49][100/3405] lr: 1.919e-02, eta: 1 day, 1:13:26, time: 0.522, data_time: 0.271, memory: 5236, top1_acc: 0.7775, top5_acc: 0.9625, loss_cls: 3.5902, loss: 3.5902 2023-12-24 04:40:38,748 - pyskl - INFO - Epoch [49][200/3405] lr: 1.918e-02, eta: 1 day, 1:12:58, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7837, top5_acc: 0.9631, loss_cls: 3.5640, loss: 3.5640 2023-12-24 04:41:04,248 - pyskl - INFO - Epoch [49][300/3405] lr: 1.918e-02, eta: 1 day, 1:12:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9663, loss_cls: 3.5526, loss: 3.5526 2023-12-24 04:41:29,617 - pyskl - INFO - Epoch [49][400/3405] lr: 1.917e-02, eta: 1 day, 1:12:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9744, loss_cls: 3.4867, loss: 3.4867 2023-12-24 04:41:55,014 - pyskl - INFO - Epoch [49][500/3405] lr: 1.917e-02, eta: 1 day, 1:11:35, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7925, top5_acc: 0.9675, loss_cls: 3.5195, loss: 3.5195 2023-12-24 04:42:20,368 - pyskl - INFO - Epoch [49][600/3405] lr: 1.916e-02, eta: 1 day, 1:11:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8025, top5_acc: 0.9681, loss_cls: 3.5136, loss: 3.5136 2023-12-24 04:42:45,930 - pyskl - INFO - Epoch [49][700/3405] lr: 1.915e-02, eta: 1 day, 1:10:40, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9513, loss_cls: 3.5844, loss: 3.5844 2023-12-24 04:43:11,547 - pyskl - INFO - Epoch [49][800/3405] lr: 1.915e-02, eta: 1 day, 1:10:12, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7944, top5_acc: 0.9631, loss_cls: 3.5605, loss: 3.5605 2023-12-24 04:43:37,059 - pyskl - INFO - Epoch [49][900/3405] lr: 1.914e-02, eta: 1 day, 1:09:45, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7931, top5_acc: 0.9600, loss_cls: 3.5400, loss: 3.5400 2023-12-24 04:44:02,392 - pyskl - INFO - Epoch [49][1000/3405] lr: 1.913e-02, eta: 1 day, 1:09:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9600, loss_cls: 3.6304, loss: 3.6304 2023-12-24 04:44:28,270 - pyskl - INFO - Epoch [49][1100/3405] lr: 1.913e-02, eta: 1 day, 1:08:50, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9600, loss_cls: 3.5889, loss: 3.5889 2023-12-24 04:44:53,585 - pyskl - INFO - Epoch [49][1200/3405] lr: 1.912e-02, eta: 1 day, 1:08:22, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9619, loss_cls: 3.5800, loss: 3.5800 2023-12-24 04:45:19,145 - pyskl - INFO - Epoch [49][1300/3405] lr: 1.911e-02, eta: 1 day, 1:07:55, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9613, loss_cls: 3.5502, loss: 3.5502 2023-12-24 04:45:44,762 - pyskl - INFO - Epoch [49][1400/3405] lr: 1.911e-02, eta: 1 day, 1:07:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9619, loss_cls: 3.5752, loss: 3.5752 2023-12-24 04:46:10,332 - pyskl - INFO - Epoch [49][1500/3405] lr: 1.910e-02, eta: 1 day, 1:07:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7981, top5_acc: 0.9681, loss_cls: 3.5571, loss: 3.5571 2023-12-24 04:46:36,257 - pyskl - INFO - Epoch [49][1600/3405] lr: 1.909e-02, eta: 1 day, 1:06:34, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9644, loss_cls: 3.6406, loss: 3.6406 2023-12-24 04:47:02,764 - pyskl - INFO - Epoch [49][1700/3405] lr: 1.909e-02, eta: 1 day, 1:06:08, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9556, loss_cls: 3.6449, loss: 3.6449 2023-12-24 04:47:28,489 - pyskl - INFO - Epoch [49][1800/3405] lr: 1.908e-02, eta: 1 day, 1:05:41, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7925, top5_acc: 0.9587, loss_cls: 3.5935, loss: 3.5935 2023-12-24 04:47:54,163 - pyskl - INFO - Epoch [49][1900/3405] lr: 1.907e-02, eta: 1 day, 1:05:14, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9550, loss_cls: 3.6404, loss: 3.6404 2023-12-24 04:48:20,055 - pyskl - INFO - Epoch [49][2000/3405] lr: 1.907e-02, eta: 1 day, 1:04:48, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9625, loss_cls: 3.5469, loss: 3.5469 2023-12-24 04:48:45,462 - pyskl - INFO - Epoch [49][2100/3405] lr: 1.906e-02, eta: 1 day, 1:04:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9644, loss_cls: 3.5691, loss: 3.5691 2023-12-24 04:49:10,802 - pyskl - INFO - Epoch [49][2200/3405] lr: 1.905e-02, eta: 1 day, 1:03:52, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9650, loss_cls: 3.5856, loss: 3.5856 2023-12-24 04:49:36,422 - pyskl - INFO - Epoch [49][2300/3405] lr: 1.905e-02, eta: 1 day, 1:03:25, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7706, top5_acc: 0.9544, loss_cls: 3.6495, loss: 3.6495 2023-12-24 04:50:01,444 - pyskl - INFO - Epoch [49][2400/3405] lr: 1.904e-02, eta: 1 day, 1:02:56, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9563, loss_cls: 3.6063, loss: 3.6063 2023-12-24 04:50:26,598 - pyskl - INFO - Epoch [49][2500/3405] lr: 1.903e-02, eta: 1 day, 1:02:28, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9575, loss_cls: 3.5957, loss: 3.5957 2023-12-24 04:50:52,012 - pyskl - INFO - Epoch [49][2600/3405] lr: 1.903e-02, eta: 1 day, 1:02:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9669, loss_cls: 3.5819, loss: 3.5819 2023-12-24 04:51:17,148 - pyskl - INFO - Epoch [49][2700/3405] lr: 1.902e-02, eta: 1 day, 1:01:32, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9519, loss_cls: 3.6210, loss: 3.6210 2023-12-24 04:51:42,335 - pyskl - INFO - Epoch [49][2800/3405] lr: 1.902e-02, eta: 1 day, 1:01:04, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7700, top5_acc: 0.9613, loss_cls: 3.6311, loss: 3.6311 2023-12-24 04:52:07,690 - pyskl - INFO - Epoch [49][2900/3405] lr: 1.901e-02, eta: 1 day, 1:00:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9663, loss_cls: 3.5532, loss: 3.5532 2023-12-24 04:52:33,225 - pyskl - INFO - Epoch [49][3000/3405] lr: 1.900e-02, eta: 1 day, 1:00:09, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7837, top5_acc: 0.9494, loss_cls: 3.6047, loss: 3.6047 2023-12-24 04:52:59,002 - pyskl - INFO - Epoch [49][3100/3405] lr: 1.900e-02, eta: 1 day, 0:59:42, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7650, top5_acc: 0.9563, loss_cls: 3.6233, loss: 3.6233 2023-12-24 04:53:25,446 - pyskl - INFO - Epoch [49][3200/3405] lr: 1.899e-02, eta: 1 day, 0:59:16, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.7987, top5_acc: 0.9688, loss_cls: 3.5231, loss: 3.5231 2023-12-24 04:53:50,441 - pyskl - INFO - Epoch [49][3300/3405] lr: 1.898e-02, eta: 1 day, 0:58:48, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9594, loss_cls: 3.5686, loss: 3.5686 2023-12-24 04:54:15,374 - pyskl - INFO - Epoch [49][3400/3405] lr: 1.898e-02, eta: 1 day, 0:58:19, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7981, top5_acc: 0.9637, loss_cls: 3.5531, loss: 3.5531 2023-12-24 04:54:17,241 - pyskl - INFO - Saving checkpoint at 49 epochs 2023-12-24 04:58:40,263 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:58:40,873 - pyskl - INFO - top1_acc 0.7585 top5_acc 0.9500 2023-12-24 04:58:40,899 - pyskl - INFO - Epoch(val) [49][3718] top1_acc: 0.7585, top5_acc: 0.9500 2023-12-24 04:59:33,225 - pyskl - INFO - Epoch [50][100/3405] lr: 1.897e-02, eta: 1 day, 0:58:43, time: 0.523, data_time: 0.272, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9700, loss_cls: 3.5520, loss: 3.5520 2023-12-24 04:59:58,425 - pyskl - INFO - Epoch [50][200/3405] lr: 1.896e-02, eta: 1 day, 0:58:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7981, top5_acc: 0.9625, loss_cls: 3.5474, loss: 3.5474 2023-12-24 05:00:23,700 - pyskl - INFO - Epoch [50][300/3405] lr: 1.896e-02, eta: 1 day, 0:57:47, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9619, loss_cls: 3.5526, loss: 3.5526 2023-12-24 05:00:49,407 - pyskl - INFO - Epoch [50][400/3405] lr: 1.895e-02, eta: 1 day, 0:57:20, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9681, loss_cls: 3.5479, loss: 3.5479 2023-12-24 05:01:14,686 - pyskl - INFO - Epoch [50][500/3405] lr: 1.894e-02, eta: 1 day, 0:56:52, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7869, top5_acc: 0.9613, loss_cls: 3.5890, loss: 3.5890 2023-12-24 05:01:40,012 - pyskl - INFO - Epoch [50][600/3405] lr: 1.894e-02, eta: 1 day, 0:56:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8056, top5_acc: 0.9581, loss_cls: 3.5369, loss: 3.5369 2023-12-24 05:02:05,570 - pyskl - INFO - Epoch [50][700/3405] lr: 1.893e-02, eta: 1 day, 0:55:57, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9656, loss_cls: 3.5424, loss: 3.5424 2023-12-24 05:02:31,036 - pyskl - INFO - Epoch [50][800/3405] lr: 1.892e-02, eta: 1 day, 0:55:29, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9625, loss_cls: 3.5585, loss: 3.5585 2023-12-24 05:02:56,802 - pyskl - INFO - Epoch [50][900/3405] lr: 1.892e-02, eta: 1 day, 0:55:02, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9637, loss_cls: 3.5838, loss: 3.5838 2023-12-24 05:03:22,167 - pyskl - INFO - Epoch [50][1000/3405] lr: 1.891e-02, eta: 1 day, 0:54:34, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9644, loss_cls: 3.5904, loss: 3.5904 2023-12-24 05:03:47,560 - pyskl - INFO - Epoch [50][1100/3405] lr: 1.890e-02, eta: 1 day, 0:54:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9650, loss_cls: 3.5689, loss: 3.5689 2023-12-24 05:04:12,881 - pyskl - INFO - Epoch [50][1200/3405] lr: 1.890e-02, eta: 1 day, 0:53:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7981, top5_acc: 0.9675, loss_cls: 3.5357, loss: 3.5357 2023-12-24 05:04:38,098 - pyskl - INFO - Epoch [50][1300/3405] lr: 1.889e-02, eta: 1 day, 0:53:11, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8113, top5_acc: 0.9681, loss_cls: 3.5123, loss: 3.5123 2023-12-24 05:05:03,450 - pyskl - INFO - Epoch [50][1400/3405] lr: 1.888e-02, eta: 1 day, 0:52:43, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9700, loss_cls: 3.5157, loss: 3.5157 2023-12-24 05:05:29,006 - pyskl - INFO - Epoch [50][1500/3405] lr: 1.888e-02, eta: 1 day, 0:52:16, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9719, loss_cls: 3.5769, loss: 3.5769 2023-12-24 05:05:54,547 - pyskl - INFO - Epoch [50][1600/3405] lr: 1.887e-02, eta: 1 day, 0:51:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9569, loss_cls: 3.6167, loss: 3.6167 2023-12-24 05:06:20,617 - pyskl - INFO - Epoch [50][1700/3405] lr: 1.886e-02, eta: 1 day, 0:51:22, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9656, loss_cls: 3.5888, loss: 3.5888 2023-12-24 05:06:46,193 - pyskl - INFO - Epoch [50][1800/3405] lr: 1.886e-02, eta: 1 day, 0:50:55, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9581, loss_cls: 3.6084, loss: 3.6084 2023-12-24 05:07:11,827 - pyskl - INFO - Epoch [50][1900/3405] lr: 1.885e-02, eta: 1 day, 0:50:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7987, top5_acc: 0.9675, loss_cls: 3.5370, loss: 3.5370 2023-12-24 05:07:38,018 - pyskl - INFO - Epoch [50][2000/3405] lr: 1.884e-02, eta: 1 day, 0:50:01, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9650, loss_cls: 3.5503, loss: 3.5503 2023-12-24 05:08:03,711 - pyskl - INFO - Epoch [50][2100/3405] lr: 1.884e-02, eta: 1 day, 0:49:34, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9669, loss_cls: 3.5547, loss: 3.5547 2023-12-24 05:08:29,039 - pyskl - INFO - Epoch [50][2200/3405] lr: 1.883e-02, eta: 1 day, 0:49:07, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9569, loss_cls: 3.6171, loss: 3.6171 2023-12-24 05:08:54,322 - pyskl - INFO - Epoch [50][2300/3405] lr: 1.882e-02, eta: 1 day, 0:48:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7725, top5_acc: 0.9581, loss_cls: 3.6090, loss: 3.6090 2023-12-24 05:09:20,066 - pyskl - INFO - Epoch [50][2400/3405] lr: 1.882e-02, eta: 1 day, 0:48:12, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7675, top5_acc: 0.9544, loss_cls: 3.6289, loss: 3.6289 2023-12-24 05:09:45,376 - pyskl - INFO - Epoch [50][2500/3405] lr: 1.881e-02, eta: 1 day, 0:47:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9563, loss_cls: 3.5759, loss: 3.5759 2023-12-24 05:10:11,010 - pyskl - INFO - Epoch [50][2600/3405] lr: 1.880e-02, eta: 1 day, 0:47:17, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9719, loss_cls: 3.5509, loss: 3.5509 2023-12-24 05:10:37,220 - pyskl - INFO - Epoch [50][2700/3405] lr: 1.880e-02, eta: 1 day, 0:46:51, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.7844, top5_acc: 0.9581, loss_cls: 3.6034, loss: 3.6034 2023-12-24 05:11:03,749 - pyskl - INFO - Epoch [50][2800/3405] lr: 1.879e-02, eta: 1 day, 0:46:25, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9544, loss_cls: 3.6511, loss: 3.6511 2023-12-24 05:11:30,291 - pyskl - INFO - Epoch [50][2900/3405] lr: 1.878e-02, eta: 1 day, 0:46:00, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9637, loss_cls: 3.6006, loss: 3.6006 2023-12-24 05:11:56,802 - pyskl - INFO - Epoch [50][3000/3405] lr: 1.878e-02, eta: 1 day, 0:45:35, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8075, top5_acc: 0.9606, loss_cls: 3.5307, loss: 3.5307 2023-12-24 05:12:23,327 - pyskl - INFO - Epoch [50][3100/3405] lr: 1.877e-02, eta: 1 day, 0:45:09, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9581, loss_cls: 3.6174, loss: 3.6174 2023-12-24 05:12:49,863 - pyskl - INFO - Epoch [50][3200/3405] lr: 1.876e-02, eta: 1 day, 0:44:44, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9669, loss_cls: 3.5437, loss: 3.5437 2023-12-24 05:13:15,688 - pyskl - INFO - Epoch [50][3300/3405] lr: 1.876e-02, eta: 1 day, 0:44:17, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7519, top5_acc: 0.9581, loss_cls: 3.6747, loss: 3.6747 2023-12-24 05:13:40,685 - pyskl - INFO - Epoch [50][3400/3405] lr: 1.875e-02, eta: 1 day, 0:43:49, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9650, loss_cls: 3.6350, loss: 3.6350 2023-12-24 05:13:42,832 - pyskl - INFO - Saving checkpoint at 50 epochs 2023-12-24 05:18:05,607 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:18:06,216 - pyskl - INFO - top1_acc 0.7591 top5_acc 0.9482 2023-12-24 05:18:06,241 - pyskl - INFO - Epoch(val) [50][3718] top1_acc: 0.7591, top5_acc: 0.9482 2023-12-24 05:18:59,662 - pyskl - INFO - Epoch [51][100/3405] lr: 1.874e-02, eta: 1 day, 0:44:13, time: 0.534, data_time: 0.275, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9706, loss_cls: 3.5355, loss: 3.5355 2023-12-24 05:19:25,670 - pyskl - INFO - Epoch [51][200/3405] lr: 1.874e-02, eta: 1 day, 0:43:47, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8137, top5_acc: 0.9744, loss_cls: 3.4745, loss: 3.4745 2023-12-24 05:19:52,076 - pyskl - INFO - Epoch [51][300/3405] lr: 1.873e-02, eta: 1 day, 0:43:21, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9587, loss_cls: 3.5428, loss: 3.5428 2023-12-24 05:20:17,418 - pyskl - INFO - Epoch [51][400/3405] lr: 1.872e-02, eta: 1 day, 0:42:53, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9600, loss_cls: 3.5758, loss: 3.5758 2023-12-24 05:20:42,558 - pyskl - INFO - Epoch [51][500/3405] lr: 1.872e-02, eta: 1 day, 0:42:25, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9644, loss_cls: 3.5319, loss: 3.5319 2023-12-24 05:21:07,608 - pyskl - INFO - Epoch [51][600/3405] lr: 1.871e-02, eta: 1 day, 0:41:56, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9656, loss_cls: 3.5138, loss: 3.5138 2023-12-24 05:21:32,920 - pyskl - INFO - Epoch [51][700/3405] lr: 1.870e-02, eta: 1 day, 0:41:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9613, loss_cls: 3.5612, loss: 3.5612 2023-12-24 05:21:58,669 - pyskl - INFO - Epoch [51][800/3405] lr: 1.870e-02, eta: 1 day, 0:41:02, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9681, loss_cls: 3.5700, loss: 3.5700 2023-12-24 05:22:24,112 - pyskl - INFO - Epoch [51][900/3405] lr: 1.869e-02, eta: 1 day, 0:40:34, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9656, loss_cls: 3.5776, loss: 3.5776 2023-12-24 05:22:49,578 - pyskl - INFO - Epoch [51][1000/3405] lr: 1.868e-02, eta: 1 day, 0:40:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7931, top5_acc: 0.9581, loss_cls: 3.5707, loss: 3.5707 2023-12-24 05:23:14,978 - pyskl - INFO - Epoch [51][1100/3405] lr: 1.868e-02, eta: 1 day, 0:39:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7775, top5_acc: 0.9575, loss_cls: 3.5804, loss: 3.5804 2023-12-24 05:23:40,487 - pyskl - INFO - Epoch [51][1200/3405] lr: 1.867e-02, eta: 1 day, 0:39:11, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8006, top5_acc: 0.9544, loss_cls: 3.5808, loss: 3.5808 2023-12-24 05:24:05,831 - pyskl - INFO - Epoch [51][1300/3405] lr: 1.866e-02, eta: 1 day, 0:38:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7925, top5_acc: 0.9625, loss_cls: 3.5667, loss: 3.5667 2023-12-24 05:24:31,645 - pyskl - INFO - Epoch [51][1400/3405] lr: 1.866e-02, eta: 1 day, 0:38:17, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7669, top5_acc: 0.9637, loss_cls: 3.6060, loss: 3.6060 2023-12-24 05:24:57,014 - pyskl - INFO - Epoch [51][1500/3405] lr: 1.865e-02, eta: 1 day, 0:37:49, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7612, top5_acc: 0.9631, loss_cls: 3.6302, loss: 3.6302 2023-12-24 05:25:22,538 - pyskl - INFO - Epoch [51][1600/3405] lr: 1.864e-02, eta: 1 day, 0:37:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9644, loss_cls: 3.5533, loss: 3.5533 2023-12-24 05:25:48,205 - pyskl - INFO - Epoch [51][1700/3405] lr: 1.864e-02, eta: 1 day, 0:36:55, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9637, loss_cls: 3.5598, loss: 3.5598 2023-12-24 05:26:13,692 - pyskl - INFO - Epoch [51][1800/3405] lr: 1.863e-02, eta: 1 day, 0:36:27, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9600, loss_cls: 3.5656, loss: 3.5656 2023-12-24 05:26:39,456 - pyskl - INFO - Epoch [51][1900/3405] lr: 1.862e-02, eta: 1 day, 0:36:00, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9712, loss_cls: 3.5389, loss: 3.5389 2023-12-24 05:27:05,113 - pyskl - INFO - Epoch [51][2000/3405] lr: 1.862e-02, eta: 1 day, 0:35:33, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7694, top5_acc: 0.9631, loss_cls: 3.6022, loss: 3.6022 2023-12-24 05:27:30,642 - pyskl - INFO - Epoch [51][2100/3405] lr: 1.861e-02, eta: 1 day, 0:35:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9600, loss_cls: 3.5934, loss: 3.5934 2023-12-24 05:27:56,617 - pyskl - INFO - Epoch [51][2200/3405] lr: 1.860e-02, eta: 1 day, 0:34:39, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9525, loss_cls: 3.6097, loss: 3.6097 2023-12-24 05:28:22,164 - pyskl - INFO - Epoch [51][2300/3405] lr: 1.860e-02, eta: 1 day, 0:34:12, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9688, loss_cls: 3.5434, loss: 3.5434 2023-12-24 05:28:47,493 - pyskl - INFO - Epoch [51][2400/3405] lr: 1.859e-02, eta: 1 day, 0:33:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9631, loss_cls: 3.5407, loss: 3.5407 2023-12-24 05:29:12,930 - pyskl - INFO - Epoch [51][2500/3405] lr: 1.858e-02, eta: 1 day, 0:33:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7869, top5_acc: 0.9644, loss_cls: 3.5818, loss: 3.5818 2023-12-24 05:29:38,383 - pyskl - INFO - Epoch [51][2600/3405] lr: 1.858e-02, eta: 1 day, 0:32:49, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9600, loss_cls: 3.6179, loss: 3.6179 2023-12-24 05:30:03,974 - pyskl - INFO - Epoch [51][2700/3405] lr: 1.857e-02, eta: 1 day, 0:32:22, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9669, loss_cls: 3.5467, loss: 3.5467 2023-12-24 05:30:29,292 - pyskl - INFO - Epoch [51][2800/3405] lr: 1.856e-02, eta: 1 day, 0:31:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9613, loss_cls: 3.6104, loss: 3.6104 2023-12-24 05:30:54,477 - pyskl - INFO - Epoch [51][2900/3405] lr: 1.856e-02, eta: 1 day, 0:31:26, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9619, loss_cls: 3.5875, loss: 3.5875 2023-12-24 05:31:19,425 - pyskl - INFO - Epoch [51][3000/3405] lr: 1.855e-02, eta: 1 day, 0:30:57, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7588, top5_acc: 0.9531, loss_cls: 3.6390, loss: 3.6390 2023-12-24 05:31:44,390 - pyskl - INFO - Epoch [51][3100/3405] lr: 1.854e-02, eta: 1 day, 0:30:29, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9663, loss_cls: 3.5726, loss: 3.5726 2023-12-24 05:32:09,359 - pyskl - INFO - Epoch [51][3200/3405] lr: 1.854e-02, eta: 1 day, 0:30:01, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7656, top5_acc: 0.9575, loss_cls: 3.6427, loss: 3.6427 2023-12-24 05:32:34,339 - pyskl - INFO - Epoch [51][3300/3405] lr: 1.853e-02, eta: 1 day, 0:29:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9663, loss_cls: 3.5832, loss: 3.5832 2023-12-24 05:32:59,417 - pyskl - INFO - Epoch [51][3400/3405] lr: 1.852e-02, eta: 1 day, 0:29:04, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9700, loss_cls: 3.5146, loss: 3.5146 2023-12-24 05:33:01,456 - pyskl - INFO - Saving checkpoint at 51 epochs 2023-12-24 05:37:24,973 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:37:25,572 - pyskl - INFO - top1_acc 0.7603 top5_acc 0.9488 2023-12-24 05:37:25,598 - pyskl - INFO - Epoch(val) [51][3718] top1_acc: 0.7603, top5_acc: 0.9488 2023-12-24 05:38:18,633 - pyskl - INFO - Epoch [52][100/3405] lr: 1.852e-02, eta: 1 day, 0:29:26, time: 0.530, data_time: 0.277, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9688, loss_cls: 3.5852, loss: 3.5852 2023-12-24 05:38:43,904 - pyskl - INFO - Epoch [52][200/3405] lr: 1.851e-02, eta: 1 day, 0:28:58, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9644, loss_cls: 3.5601, loss: 3.5601 2023-12-24 05:39:09,098 - pyskl - INFO - Epoch [52][300/3405] lr: 1.850e-02, eta: 1 day, 0:28:30, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9637, loss_cls: 3.5425, loss: 3.5425 2023-12-24 05:39:34,239 - pyskl - INFO - Epoch [52][400/3405] lr: 1.850e-02, eta: 1 day, 0:28:02, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9712, loss_cls: 3.5200, loss: 3.5200 2023-12-24 05:39:59,795 - pyskl - INFO - Epoch [52][500/3405] lr: 1.849e-02, eta: 1 day, 0:27:35, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9656, loss_cls: 3.5459, loss: 3.5459 2023-12-24 05:40:25,333 - pyskl - INFO - Epoch [52][600/3405] lr: 1.848e-02, eta: 1 day, 0:27:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8031, top5_acc: 0.9675, loss_cls: 3.5064, loss: 3.5064 2023-12-24 05:40:50,970 - pyskl - INFO - Epoch [52][700/3405] lr: 1.847e-02, eta: 1 day, 0:26:40, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8000, top5_acc: 0.9631, loss_cls: 3.5393, loss: 3.5393 2023-12-24 05:41:16,531 - pyskl - INFO - Epoch [52][800/3405] lr: 1.847e-02, eta: 1 day, 0:26:13, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8231, top5_acc: 0.9650, loss_cls: 3.4785, loss: 3.4785 2023-12-24 05:41:41,794 - pyskl - INFO - Epoch [52][900/3405] lr: 1.846e-02, eta: 1 day, 0:25:45, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8037, top5_acc: 0.9631, loss_cls: 3.5251, loss: 3.5251 2023-12-24 05:42:06,788 - pyskl - INFO - Epoch [52][1000/3405] lr: 1.845e-02, eta: 1 day, 0:25:16, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7837, top5_acc: 0.9613, loss_cls: 3.6010, loss: 3.6010 2023-12-24 05:42:31,782 - pyskl - INFO - Epoch [52][1100/3405] lr: 1.845e-02, eta: 1 day, 0:24:48, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9644, loss_cls: 3.5750, loss: 3.5750 2023-12-24 05:42:56,815 - pyskl - INFO - Epoch [52][1200/3405] lr: 1.844e-02, eta: 1 day, 0:24:20, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8056, top5_acc: 0.9719, loss_cls: 3.5142, loss: 3.5142 2023-12-24 05:43:21,921 - pyskl - INFO - Epoch [52][1300/3405] lr: 1.843e-02, eta: 1 day, 0:23:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9650, loss_cls: 3.5814, loss: 3.5814 2023-12-24 05:43:47,636 - pyskl - INFO - Epoch [52][1400/3405] lr: 1.843e-02, eta: 1 day, 0:23:25, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9587, loss_cls: 3.6015, loss: 3.6015 2023-12-24 05:44:13,373 - pyskl - INFO - Epoch [52][1500/3405] lr: 1.842e-02, eta: 1 day, 0:22:58, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9606, loss_cls: 3.5962, loss: 3.5962 2023-12-24 05:44:38,924 - pyskl - INFO - Epoch [52][1600/3405] lr: 1.841e-02, eta: 1 day, 0:22:30, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8006, top5_acc: 0.9656, loss_cls: 3.5509, loss: 3.5509 2023-12-24 05:45:04,807 - pyskl - INFO - Epoch [52][1700/3405] lr: 1.841e-02, eta: 1 day, 0:22:04, time: 0.259, data_time: 0.001, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9619, loss_cls: 3.5625, loss: 3.5625 2023-12-24 05:45:30,136 - pyskl - INFO - Epoch [52][1800/3405] lr: 1.840e-02, eta: 1 day, 0:21:36, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9619, loss_cls: 3.5624, loss: 3.5624 2023-12-24 05:45:55,766 - pyskl - INFO - Epoch [52][1900/3405] lr: 1.839e-02, eta: 1 day, 0:21:09, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9637, loss_cls: 3.5590, loss: 3.5590 2023-12-24 05:46:21,510 - pyskl - INFO - Epoch [52][2000/3405] lr: 1.839e-02, eta: 1 day, 0:20:42, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9600, loss_cls: 3.6040, loss: 3.6040 2023-12-24 05:46:46,810 - pyskl - INFO - Epoch [52][2100/3405] lr: 1.838e-02, eta: 1 day, 0:20:14, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9644, loss_cls: 3.5912, loss: 3.5912 2023-12-24 05:47:11,790 - pyskl - INFO - Epoch [52][2200/3405] lr: 1.837e-02, eta: 1 day, 0:19:46, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9625, loss_cls: 3.5682, loss: 3.5682 2023-12-24 05:47:36,782 - pyskl - INFO - Epoch [52][2300/3405] lr: 1.837e-02, eta: 1 day, 0:19:17, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7931, top5_acc: 0.9669, loss_cls: 3.5396, loss: 3.5396 2023-12-24 05:48:02,022 - pyskl - INFO - Epoch [52][2400/3405] lr: 1.836e-02, eta: 1 day, 0:18:49, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7762, top5_acc: 0.9587, loss_cls: 3.5990, loss: 3.5990 2023-12-24 05:48:27,260 - pyskl - INFO - Epoch [52][2500/3405] lr: 1.835e-02, eta: 1 day, 0:18:21, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7837, top5_acc: 0.9613, loss_cls: 3.5758, loss: 3.5758 2023-12-24 05:48:52,757 - pyskl - INFO - Epoch [52][2600/3405] lr: 1.835e-02, eta: 1 day, 0:17:54, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9656, loss_cls: 3.5500, loss: 3.5500 2023-12-24 05:49:18,288 - pyskl - INFO - Epoch [52][2700/3405] lr: 1.834e-02, eta: 1 day, 0:17:27, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9675, loss_cls: 3.5325, loss: 3.5325 2023-12-24 05:49:43,419 - pyskl - INFO - Epoch [52][2800/3405] lr: 1.833e-02, eta: 1 day, 0:16:59, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9600, loss_cls: 3.5785, loss: 3.5785 2023-12-24 05:50:08,423 - pyskl - INFO - Epoch [52][2900/3405] lr: 1.833e-02, eta: 1 day, 0:16:30, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9569, loss_cls: 3.5748, loss: 3.5748 2023-12-24 05:50:34,402 - pyskl - INFO - Epoch [52][3000/3405] lr: 1.832e-02, eta: 1 day, 0:16:04, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9669, loss_cls: 3.5807, loss: 3.5807 2023-12-24 05:50:59,955 - pyskl - INFO - Epoch [52][3100/3405] lr: 1.831e-02, eta: 1 day, 0:15:37, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9619, loss_cls: 3.5956, loss: 3.5956 2023-12-24 05:51:24,956 - pyskl - INFO - Epoch [52][3200/3405] lr: 1.831e-02, eta: 1 day, 0:15:08, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9675, loss_cls: 3.5264, loss: 3.5264 2023-12-24 05:51:50,681 - pyskl - INFO - Epoch [52][3300/3405] lr: 1.830e-02, eta: 1 day, 0:14:41, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9669, loss_cls: 3.5507, loss: 3.5507 2023-12-24 05:52:16,151 - pyskl - INFO - Epoch [52][3400/3405] lr: 1.829e-02, eta: 1 day, 0:14:14, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9569, loss_cls: 3.5751, loss: 3.5751 2023-12-24 05:52:18,133 - pyskl - INFO - Saving checkpoint at 52 epochs 2023-12-24 05:56:40,809 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:56:41,409 - pyskl - INFO - top1_acc 0.7689 top5_acc 0.9495 2023-12-24 05:56:41,414 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_41.pth was removed 2023-12-24 05:56:41,624 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth. 2023-12-24 05:56:41,626 - pyskl - INFO - Best top1_acc is 0.7689 at 52 epoch. 2023-12-24 05:56:41,651 - pyskl - INFO - Epoch(val) [52][3718] top1_acc: 0.7689, top5_acc: 0.9495 2023-12-24 05:57:33,625 - pyskl - INFO - Epoch [53][100/3405] lr: 1.828e-02, eta: 1 day, 0:14:33, time: 0.520, data_time: 0.269, memory: 5236, top1_acc: 0.8075, top5_acc: 0.9663, loss_cls: 3.5068, loss: 3.5068 2023-12-24 05:57:58,818 - pyskl - INFO - Epoch [53][200/3405] lr: 1.828e-02, eta: 1 day, 0:14:05, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8113, top5_acc: 0.9575, loss_cls: 3.5143, loss: 3.5143 2023-12-24 05:58:24,105 - pyskl - INFO - Epoch [53][300/3405] lr: 1.827e-02, eta: 1 day, 0:13:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8031, top5_acc: 0.9656, loss_cls: 3.5139, loss: 3.5139 2023-12-24 05:58:49,506 - pyskl - INFO - Epoch [53][400/3405] lr: 1.826e-02, eta: 1 day, 0:13:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9650, loss_cls: 3.5236, loss: 3.5236 2023-12-24 05:59:14,849 - pyskl - INFO - Epoch [53][500/3405] lr: 1.826e-02, eta: 1 day, 0:12:41, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9544, loss_cls: 3.6009, loss: 3.6009 2023-12-24 05:59:40,748 - pyskl - INFO - Epoch [53][600/3405] lr: 1.825e-02, eta: 1 day, 0:12:15, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8000, top5_acc: 0.9688, loss_cls: 3.5090, loss: 3.5090 2023-12-24 06:00:06,285 - pyskl - INFO - Epoch [53][700/3405] lr: 1.824e-02, eta: 1 day, 0:11:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9600, loss_cls: 3.5910, loss: 3.5910 2023-12-24 06:00:31,879 - pyskl - INFO - Epoch [53][800/3405] lr: 1.824e-02, eta: 1 day, 0:11:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9606, loss_cls: 3.5932, loss: 3.5932 2023-12-24 06:00:57,540 - pyskl - INFO - Epoch [53][900/3405] lr: 1.823e-02, eta: 1 day, 0:10:53, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9644, loss_cls: 3.5753, loss: 3.5753 2023-12-24 06:01:23,246 - pyskl - INFO - Epoch [53][1000/3405] lr: 1.822e-02, eta: 1 day, 0:10:26, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8037, top5_acc: 0.9619, loss_cls: 3.5486, loss: 3.5486 2023-12-24 06:01:48,748 - pyskl - INFO - Epoch [53][1100/3405] lr: 1.822e-02, eta: 1 day, 0:09:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9619, loss_cls: 3.5650, loss: 3.5650 2023-12-24 06:02:14,293 - pyskl - INFO - Epoch [53][1200/3405] lr: 1.821e-02, eta: 1 day, 0:09:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9656, loss_cls: 3.5599, loss: 3.5599 2023-12-24 06:02:40,001 - pyskl - INFO - Epoch [53][1300/3405] lr: 1.820e-02, eta: 1 day, 0:09:05, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9644, loss_cls: 3.5712, loss: 3.5712 2023-12-24 06:03:05,903 - pyskl - INFO - Epoch [53][1400/3405] lr: 1.820e-02, eta: 1 day, 0:08:38, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7788, top5_acc: 0.9694, loss_cls: 3.5890, loss: 3.5890 2023-12-24 06:03:31,574 - pyskl - INFO - Epoch [53][1500/3405] lr: 1.819e-02, eta: 1 day, 0:08:11, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9625, loss_cls: 3.5145, loss: 3.5145 2023-12-24 06:03:57,372 - pyskl - INFO - Epoch [53][1600/3405] lr: 1.818e-02, eta: 1 day, 0:07:44, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7919, top5_acc: 0.9656, loss_cls: 3.5688, loss: 3.5688 2023-12-24 06:04:23,157 - pyskl - INFO - Epoch [53][1700/3405] lr: 1.818e-02, eta: 1 day, 0:07:17, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7931, top5_acc: 0.9600, loss_cls: 3.5553, loss: 3.5553 2023-12-24 06:04:48,633 - pyskl - INFO - Epoch [53][1800/3405] lr: 1.817e-02, eta: 1 day, 0:06:50, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7606, top5_acc: 0.9544, loss_cls: 3.6431, loss: 3.6431 2023-12-24 06:05:14,126 - pyskl - INFO - Epoch [53][1900/3405] lr: 1.816e-02, eta: 1 day, 0:06:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9556, loss_cls: 3.6195, loss: 3.6195 2023-12-24 06:05:39,889 - pyskl - INFO - Epoch [53][2000/3405] lr: 1.815e-02, eta: 1 day, 0:05:55, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9581, loss_cls: 3.6179, loss: 3.6179 2023-12-24 06:06:05,460 - pyskl - INFO - Epoch [53][2100/3405] lr: 1.815e-02, eta: 1 day, 0:05:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7769, top5_acc: 0.9681, loss_cls: 3.5768, loss: 3.5768 2023-12-24 06:06:30,494 - pyskl - INFO - Epoch [53][2200/3405] lr: 1.814e-02, eta: 1 day, 0:05:00, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9600, loss_cls: 3.6039, loss: 3.6039 2023-12-24 06:06:55,469 - pyskl - INFO - Epoch [53][2300/3405] lr: 1.813e-02, eta: 1 day, 0:04:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9656, loss_cls: 3.5989, loss: 3.5989 2023-12-24 06:07:20,454 - pyskl - INFO - Epoch [53][2400/3405] lr: 1.813e-02, eta: 1 day, 0:04:03, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7919, top5_acc: 0.9619, loss_cls: 3.5536, loss: 3.5536 2023-12-24 06:07:45,445 - pyskl - INFO - Epoch [53][2500/3405] lr: 1.812e-02, eta: 1 day, 0:03:35, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9675, loss_cls: 3.5752, loss: 3.5752 2023-12-24 06:08:10,413 - pyskl - INFO - Epoch [53][2600/3405] lr: 1.811e-02, eta: 1 day, 0:03:07, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9644, loss_cls: 3.5383, loss: 3.5383 2023-12-24 06:08:35,418 - pyskl - INFO - Epoch [53][2700/3405] lr: 1.811e-02, eta: 1 day, 0:02:38, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7987, top5_acc: 0.9663, loss_cls: 3.5441, loss: 3.5441 2023-12-24 06:09:00,765 - pyskl - INFO - Epoch [53][2800/3405] lr: 1.810e-02, eta: 1 day, 0:02:11, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9669, loss_cls: 3.5554, loss: 3.5554 2023-12-24 06:09:25,813 - pyskl - INFO - Epoch [53][2900/3405] lr: 1.809e-02, eta: 1 day, 0:01:43, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8006, top5_acc: 0.9688, loss_cls: 3.5377, loss: 3.5377 2023-12-24 06:09:51,206 - pyskl - INFO - Epoch [53][3000/3405] lr: 1.809e-02, eta: 1 day, 0:01:15, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7725, top5_acc: 0.9637, loss_cls: 3.5975, loss: 3.5975 2023-12-24 06:10:16,744 - pyskl - INFO - Epoch [53][3100/3405] lr: 1.808e-02, eta: 1 day, 0:00:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9637, loss_cls: 3.6119, loss: 3.6119 2023-12-24 06:10:42,254 - pyskl - INFO - Epoch [53][3200/3405] lr: 1.807e-02, eta: 1 day, 0:00:20, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9631, loss_cls: 3.5696, loss: 3.5696 2023-12-24 06:11:07,486 - pyskl - INFO - Epoch [53][3300/3405] lr: 1.807e-02, eta: 23:59:53, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9719, loss_cls: 3.4779, loss: 3.4779 2023-12-24 06:11:32,692 - pyskl - INFO - Epoch [53][3400/3405] lr: 1.806e-02, eta: 23:59:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7869, top5_acc: 0.9631, loss_cls: 3.5773, loss: 3.5773 2023-12-24 06:11:34,697 - pyskl - INFO - Saving checkpoint at 53 epochs 2023-12-24 06:15:57,694 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:15:58,299 - pyskl - INFO - top1_acc 0.7680 top5_acc 0.9470 2023-12-24 06:15:58,324 - pyskl - INFO - Epoch(val) [53][3718] top1_acc: 0.7680, top5_acc: 0.9470 2023-12-24 06:16:50,288 - pyskl - INFO - Epoch [54][100/3405] lr: 1.805e-02, eta: 23:59:42, time: 0.520, data_time: 0.271, memory: 5236, top1_acc: 0.8087, top5_acc: 0.9625, loss_cls: 3.5312, loss: 3.5312 2023-12-24 06:17:15,322 - pyskl - INFO - Epoch [54][200/3405] lr: 1.804e-02, eta: 23:59:14, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9650, loss_cls: 3.5811, loss: 3.5811 2023-12-24 06:17:40,830 - pyskl - INFO - Epoch [54][300/3405] lr: 1.804e-02, eta: 23:58:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7844, top5_acc: 0.9631, loss_cls: 3.5930, loss: 3.5930 2023-12-24 06:18:06,235 - pyskl - INFO - Epoch [54][400/3405] lr: 1.803e-02, eta: 23:58:19, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9619, loss_cls: 3.5710, loss: 3.5710 2023-12-24 06:18:31,688 - pyskl - INFO - Epoch [54][500/3405] lr: 1.802e-02, eta: 23:57:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7806, top5_acc: 0.9669, loss_cls: 3.5810, loss: 3.5810 2023-12-24 06:18:57,129 - pyskl - INFO - Epoch [54][600/3405] lr: 1.802e-02, eta: 23:57:24, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8094, top5_acc: 0.9731, loss_cls: 3.5001, loss: 3.5001 2023-12-24 06:19:22,468 - pyskl - INFO - Epoch [54][700/3405] lr: 1.801e-02, eta: 23:56:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8194, top5_acc: 0.9656, loss_cls: 3.4872, loss: 3.4872 2023-12-24 06:19:48,060 - pyskl - INFO - Epoch [54][800/3405] lr: 1.800e-02, eta: 23:56:29, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8025, top5_acc: 0.9688, loss_cls: 3.5267, loss: 3.5267 2023-12-24 06:20:13,614 - pyskl - INFO - Epoch [54][900/3405] lr: 1.800e-02, eta: 23:56:02, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8031, top5_acc: 0.9587, loss_cls: 3.5339, loss: 3.5339 2023-12-24 06:20:39,720 - pyskl - INFO - Epoch [54][1000/3405] lr: 1.799e-02, eta: 23:55:36, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9663, loss_cls: 3.5686, loss: 3.5686 2023-12-24 06:21:05,128 - pyskl - INFO - Epoch [54][1100/3405] lr: 1.798e-02, eta: 23:55:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9644, loss_cls: 3.5740, loss: 3.5740 2023-12-24 06:21:30,346 - pyskl - INFO - Epoch [54][1200/3405] lr: 1.798e-02, eta: 23:54:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9675, loss_cls: 3.5437, loss: 3.5437 2023-12-24 06:21:55,705 - pyskl - INFO - Epoch [54][1300/3405] lr: 1.797e-02, eta: 23:54:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9706, loss_cls: 3.5260, loss: 3.5260 2023-12-24 06:22:21,287 - pyskl - INFO - Epoch [54][1400/3405] lr: 1.796e-02, eta: 23:53:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7987, top5_acc: 0.9700, loss_cls: 3.5438, loss: 3.5438 2023-12-24 06:22:46,526 - pyskl - INFO - Epoch [54][1500/3405] lr: 1.795e-02, eta: 23:53:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9700, loss_cls: 3.5449, loss: 3.5449 2023-12-24 06:23:11,889 - pyskl - INFO - Epoch [54][1600/3405] lr: 1.795e-02, eta: 23:52:50, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7844, top5_acc: 0.9625, loss_cls: 3.6051, loss: 3.6051 2023-12-24 06:23:37,814 - pyskl - INFO - Epoch [54][1700/3405] lr: 1.794e-02, eta: 23:52:24, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9556, loss_cls: 3.5556, loss: 3.5556 2023-12-24 06:24:03,500 - pyskl - INFO - Epoch [54][1800/3405] lr: 1.793e-02, eta: 23:51:57, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9575, loss_cls: 3.5861, loss: 3.5861 2023-12-24 06:24:29,359 - pyskl - INFO - Epoch [54][1900/3405] lr: 1.793e-02, eta: 23:51:30, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7944, top5_acc: 0.9625, loss_cls: 3.5659, loss: 3.5659 2023-12-24 06:24:55,006 - pyskl - INFO - Epoch [54][2000/3405] lr: 1.792e-02, eta: 23:51:03, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9688, loss_cls: 3.5930, loss: 3.5930 2023-12-24 06:25:20,624 - pyskl - INFO - Epoch [54][2100/3405] lr: 1.791e-02, eta: 23:50:36, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8113, top5_acc: 0.9656, loss_cls: 3.5114, loss: 3.5114 2023-12-24 06:25:46,441 - pyskl - INFO - Epoch [54][2200/3405] lr: 1.791e-02, eta: 23:50:09, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8056, top5_acc: 0.9663, loss_cls: 3.5086, loss: 3.5086 2023-12-24 06:26:12,365 - pyskl - INFO - Epoch [54][2300/3405] lr: 1.790e-02, eta: 23:49:42, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8156, top5_acc: 0.9669, loss_cls: 3.4985, loss: 3.4985 2023-12-24 06:26:38,184 - pyskl - INFO - Epoch [54][2400/3405] lr: 1.789e-02, eta: 23:49:16, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9556, loss_cls: 3.5738, loss: 3.5738 2023-12-24 06:27:03,321 - pyskl - INFO - Epoch [54][2500/3405] lr: 1.789e-02, eta: 23:48:48, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8031, top5_acc: 0.9644, loss_cls: 3.5252, loss: 3.5252 2023-12-24 06:27:28,644 - pyskl - INFO - Epoch [54][2600/3405] lr: 1.788e-02, eta: 23:48:20, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9700, loss_cls: 3.5211, loss: 3.5211 2023-12-24 06:27:54,417 - pyskl - INFO - Epoch [54][2700/3405] lr: 1.787e-02, eta: 23:47:53, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7844, top5_acc: 0.9644, loss_cls: 3.5739, loss: 3.5739 2023-12-24 06:28:19,959 - pyskl - INFO - Epoch [54][2800/3405] lr: 1.786e-02, eta: 23:47:26, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9625, loss_cls: 3.5700, loss: 3.5700 2023-12-24 06:28:45,548 - pyskl - INFO - Epoch [54][2900/3405] lr: 1.786e-02, eta: 23:46:59, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9631, loss_cls: 3.5567, loss: 3.5567 2023-12-24 06:29:10,845 - pyskl - INFO - Epoch [54][3000/3405] lr: 1.785e-02, eta: 23:46:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7688, top5_acc: 0.9544, loss_cls: 3.6448, loss: 3.6448 2023-12-24 06:29:36,709 - pyskl - INFO - Epoch [54][3100/3405] lr: 1.784e-02, eta: 23:46:04, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9637, loss_cls: 3.5709, loss: 3.5709 2023-12-24 06:30:02,355 - pyskl - INFO - Epoch [54][3200/3405] lr: 1.784e-02, eta: 23:45:37, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9625, loss_cls: 3.5774, loss: 3.5774 2023-12-24 06:30:27,473 - pyskl - INFO - Epoch [54][3300/3405] lr: 1.783e-02, eta: 23:45:09, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9675, loss_cls: 3.5773, loss: 3.5773 2023-12-24 06:30:53,114 - pyskl - INFO - Epoch [54][3400/3405] lr: 1.782e-02, eta: 23:44:42, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9575, loss_cls: 3.5441, loss: 3.5441 2023-12-24 06:30:54,991 - pyskl - INFO - Saving checkpoint at 54 epochs 2023-12-24 06:35:17,931 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:35:18,531 - pyskl - INFO - top1_acc 0.7714 top5_acc 0.9514 2023-12-24 06:35:18,536 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_52.pth was removed 2023-12-24 06:35:18,741 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_54.pth. 2023-12-24 06:35:18,742 - pyskl - INFO - Best top1_acc is 0.7714 at 54 epoch. 2023-12-24 06:35:18,768 - pyskl - INFO - Epoch(val) [54][3718] top1_acc: 0.7714, top5_acc: 0.9514 2023-12-24 06:36:11,533 - pyskl - INFO - Epoch [55][100/3405] lr: 1.782e-02, eta: 23:45:00, time: 0.528, data_time: 0.275, memory: 5236, top1_acc: 0.8044, top5_acc: 0.9688, loss_cls: 3.5053, loss: 3.5053 2023-12-24 06:36:36,664 - pyskl - INFO - Epoch [55][200/3405] lr: 1.781e-02, eta: 23:44:32, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9669, loss_cls: 3.5436, loss: 3.5436 2023-12-24 06:37:02,049 - pyskl - INFO - Epoch [55][300/3405] lr: 1.780e-02, eta: 23:44:04, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8019, top5_acc: 0.9594, loss_cls: 3.5441, loss: 3.5441 2023-12-24 06:37:27,651 - pyskl - INFO - Epoch [55][400/3405] lr: 1.779e-02, eta: 23:43:37, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9631, loss_cls: 3.5574, loss: 3.5574 2023-12-24 06:37:53,222 - pyskl - INFO - Epoch [55][500/3405] lr: 1.779e-02, eta: 23:43:10, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7631, top5_acc: 0.9569, loss_cls: 3.6222, loss: 3.6222 2023-12-24 06:38:18,624 - pyskl - INFO - Epoch [55][600/3405] lr: 1.778e-02, eta: 23:42:42, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9631, loss_cls: 3.5227, loss: 3.5227 2023-12-24 06:38:44,353 - pyskl - INFO - Epoch [55][700/3405] lr: 1.777e-02, eta: 23:42:15, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7925, top5_acc: 0.9656, loss_cls: 3.5571, loss: 3.5571 2023-12-24 06:39:10,515 - pyskl - INFO - Epoch [55][800/3405] lr: 1.777e-02, eta: 23:41:49, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9600, loss_cls: 3.5543, loss: 3.5543 2023-12-24 06:39:36,126 - pyskl - INFO - Epoch [55][900/3405] lr: 1.776e-02, eta: 23:41:22, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8156, top5_acc: 0.9688, loss_cls: 3.4965, loss: 3.4965 2023-12-24 06:40:01,325 - pyskl - INFO - Epoch [55][1000/3405] lr: 1.775e-02, eta: 23:40:54, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9656, loss_cls: 3.6003, loss: 3.6003 2023-12-24 06:40:26,289 - pyskl - INFO - Epoch [55][1100/3405] lr: 1.775e-02, eta: 23:40:26, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7825, top5_acc: 0.9675, loss_cls: 3.5656, loss: 3.5656 2023-12-24 06:40:51,606 - pyskl - INFO - Epoch [55][1200/3405] lr: 1.774e-02, eta: 23:39:58, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8037, top5_acc: 0.9613, loss_cls: 3.5211, loss: 3.5211 2023-12-24 06:41:17,177 - pyskl - INFO - Epoch [55][1300/3405] lr: 1.773e-02, eta: 23:39:31, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8263, top5_acc: 0.9781, loss_cls: 3.4545, loss: 3.4545 2023-12-24 06:41:42,929 - pyskl - INFO - Epoch [55][1400/3405] lr: 1.772e-02, eta: 23:39:04, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7981, top5_acc: 0.9619, loss_cls: 3.5374, loss: 3.5374 2023-12-24 06:42:08,763 - pyskl - INFO - Epoch [55][1500/3405] lr: 1.772e-02, eta: 23:38:37, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7781, top5_acc: 0.9656, loss_cls: 3.6052, loss: 3.6052 2023-12-24 06:42:34,274 - pyskl - INFO - Epoch [55][1600/3405] lr: 1.771e-02, eta: 23:38:10, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8025, top5_acc: 0.9675, loss_cls: 3.5250, loss: 3.5250 2023-12-24 06:42:59,789 - pyskl - INFO - Epoch [55][1700/3405] lr: 1.770e-02, eta: 23:37:43, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9719, loss_cls: 3.4992, loss: 3.4992 2023-12-24 06:43:25,539 - pyskl - INFO - Epoch [55][1800/3405] lr: 1.770e-02, eta: 23:37:16, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9619, loss_cls: 3.5519, loss: 3.5519 2023-12-24 06:43:51,480 - pyskl - INFO - Epoch [55][1900/3405] lr: 1.769e-02, eta: 23:36:49, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7919, top5_acc: 0.9644, loss_cls: 3.5749, loss: 3.5749 2023-12-24 06:44:16,952 - pyskl - INFO - Epoch [55][2000/3405] lr: 1.768e-02, eta: 23:36:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9694, loss_cls: 3.4973, loss: 3.4973 2023-12-24 06:44:42,091 - pyskl - INFO - Epoch [55][2100/3405] lr: 1.768e-02, eta: 23:35:54, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9544, loss_cls: 3.5674, loss: 3.5674 2023-12-24 06:45:07,135 - pyskl - INFO - Epoch [55][2200/3405] lr: 1.767e-02, eta: 23:35:26, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7738, top5_acc: 0.9631, loss_cls: 3.6036, loss: 3.6036 2023-12-24 06:45:32,120 - pyskl - INFO - Epoch [55][2300/3405] lr: 1.766e-02, eta: 23:34:58, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9575, loss_cls: 3.5637, loss: 3.5637 2023-12-24 06:45:57,108 - pyskl - INFO - Epoch [55][2400/3405] lr: 1.765e-02, eta: 23:34:30, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7806, top5_acc: 0.9594, loss_cls: 3.6027, loss: 3.6027 2023-12-24 06:46:22,089 - pyskl - INFO - Epoch [55][2500/3405] lr: 1.765e-02, eta: 23:34:01, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9650, loss_cls: 3.5730, loss: 3.5730 2023-12-24 06:46:47,076 - pyskl - INFO - Epoch [55][2600/3405] lr: 1.764e-02, eta: 23:33:33, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9606, loss_cls: 3.5684, loss: 3.5684 2023-12-24 06:47:12,048 - pyskl - INFO - Epoch [55][2700/3405] lr: 1.763e-02, eta: 23:33:05, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9506, loss_cls: 3.6212, loss: 3.6212 2023-12-24 06:47:37,035 - pyskl - INFO - Epoch [55][2800/3405] lr: 1.763e-02, eta: 23:32:37, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9581, loss_cls: 3.5990, loss: 3.5990 2023-12-24 06:48:02,838 - pyskl - INFO - Epoch [55][2900/3405] lr: 1.762e-02, eta: 23:32:10, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9688, loss_cls: 3.5504, loss: 3.5504 2023-12-24 06:48:28,116 - pyskl - INFO - Epoch [55][3000/3405] lr: 1.761e-02, eta: 23:31:42, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9575, loss_cls: 3.6000, loss: 3.6000 2023-12-24 06:48:53,275 - pyskl - INFO - Epoch [55][3100/3405] lr: 1.761e-02, eta: 23:31:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9587, loss_cls: 3.5996, loss: 3.5996 2023-12-24 06:49:18,586 - pyskl - INFO - Epoch [55][3200/3405] lr: 1.760e-02, eta: 23:30:47, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9606, loss_cls: 3.5873, loss: 3.5873 2023-12-24 06:49:44,534 - pyskl - INFO - Epoch [55][3300/3405] lr: 1.759e-02, eta: 23:30:20, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7931, top5_acc: 0.9669, loss_cls: 3.5292, loss: 3.5292 2023-12-24 06:50:11,074 - pyskl - INFO - Epoch [55][3400/3405] lr: 1.758e-02, eta: 23:29:55, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9637, loss_cls: 3.5812, loss: 3.5812 2023-12-24 06:50:13,219 - pyskl - INFO - Saving checkpoint at 55 epochs 2023-12-24 06:54:36,407 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:54:37,011 - pyskl - INFO - top1_acc 0.7365 top5_acc 0.9423 2023-12-24 06:54:37,036 - pyskl - INFO - Epoch(val) [55][3718] top1_acc: 0.7365, top5_acc: 0.9423 2023-12-24 06:55:29,699 - pyskl - INFO - Epoch [56][100/3405] lr: 1.758e-02, eta: 23:30:11, time: 0.527, data_time: 0.275, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9750, loss_cls: 3.4822, loss: 3.4822 2023-12-24 06:55:54,649 - pyskl - INFO - Epoch [56][200/3405] lr: 1.757e-02, eta: 23:29:43, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9700, loss_cls: 3.4852, loss: 3.4852 2023-12-24 06:56:19,884 - pyskl - INFO - Epoch [56][300/3405] lr: 1.756e-02, eta: 23:29:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9650, loss_cls: 3.5432, loss: 3.5432 2023-12-24 06:56:45,306 - pyskl - INFO - Epoch [56][400/3405] lr: 1.756e-02, eta: 23:28:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9625, loss_cls: 3.5678, loss: 3.5678 2023-12-24 06:57:10,590 - pyskl - INFO - Epoch [56][500/3405] lr: 1.755e-02, eta: 23:28:20, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9663, loss_cls: 3.5462, loss: 3.5462 2023-12-24 06:57:35,935 - pyskl - INFO - Epoch [56][600/3405] lr: 1.754e-02, eta: 23:27:52, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9625, loss_cls: 3.5685, loss: 3.5685 2023-12-24 06:58:00,994 - pyskl - INFO - Epoch [56][700/3405] lr: 1.754e-02, eta: 23:27:24, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9675, loss_cls: 3.5432, loss: 3.5432 2023-12-24 06:58:26,703 - pyskl - INFO - Epoch [56][800/3405] lr: 1.753e-02, eta: 23:26:57, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9669, loss_cls: 3.5071, loss: 3.5071 2023-12-24 06:58:52,319 - pyskl - INFO - Epoch [56][900/3405] lr: 1.752e-02, eta: 23:26:30, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7894, top5_acc: 0.9656, loss_cls: 3.5579, loss: 3.5579 2023-12-24 06:59:17,918 - pyskl - INFO - Epoch [56][1000/3405] lr: 1.751e-02, eta: 23:26:03, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9594, loss_cls: 3.5711, loss: 3.5711 2023-12-24 06:59:43,482 - pyskl - INFO - Epoch [56][1100/3405] lr: 1.751e-02, eta: 23:25:36, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8075, top5_acc: 0.9644, loss_cls: 3.5181, loss: 3.5181 2023-12-24 07:00:08,764 - pyskl - INFO - Epoch [56][1200/3405] lr: 1.750e-02, eta: 23:25:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8006, top5_acc: 0.9625, loss_cls: 3.5428, loss: 3.5428 2023-12-24 07:00:34,173 - pyskl - INFO - Epoch [56][1300/3405] lr: 1.749e-02, eta: 23:24:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9619, loss_cls: 3.5493, loss: 3.5493 2023-12-24 07:00:59,775 - pyskl - INFO - Epoch [56][1400/3405] lr: 1.749e-02, eta: 23:24:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9587, loss_cls: 3.5812, loss: 3.5812 2023-12-24 07:01:25,383 - pyskl - INFO - Epoch [56][1500/3405] lr: 1.748e-02, eta: 23:23:47, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9594, loss_cls: 3.5602, loss: 3.5602 2023-12-24 07:01:50,841 - pyskl - INFO - Epoch [56][1600/3405] lr: 1.747e-02, eta: 23:23:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9694, loss_cls: 3.5225, loss: 3.5225 2023-12-24 07:02:16,122 - pyskl - INFO - Epoch [56][1700/3405] lr: 1.746e-02, eta: 23:22:52, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9619, loss_cls: 3.5386, loss: 3.5386 2023-12-24 07:02:41,591 - pyskl - INFO - Epoch [56][1800/3405] lr: 1.746e-02, eta: 23:22:24, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9694, loss_cls: 3.5531, loss: 3.5531 2023-12-24 07:03:07,557 - pyskl - INFO - Epoch [56][1900/3405] lr: 1.745e-02, eta: 23:21:58, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7987, top5_acc: 0.9563, loss_cls: 3.5500, loss: 3.5500 2023-12-24 07:03:33,173 - pyskl - INFO - Epoch [56][2000/3405] lr: 1.744e-02, eta: 23:21:31, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9694, loss_cls: 3.5013, loss: 3.5013 2023-12-24 07:03:58,810 - pyskl - INFO - Epoch [56][2100/3405] lr: 1.744e-02, eta: 23:21:04, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7788, top5_acc: 0.9581, loss_cls: 3.6297, loss: 3.6297 2023-12-24 07:04:24,584 - pyskl - INFO - Epoch [56][2200/3405] lr: 1.743e-02, eta: 23:20:37, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7750, top5_acc: 0.9594, loss_cls: 3.6213, loss: 3.6213 2023-12-24 07:04:50,187 - pyskl - INFO - Epoch [56][2300/3405] lr: 1.742e-02, eta: 23:20:10, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7712, top5_acc: 0.9525, loss_cls: 3.6176, loss: 3.6176 2023-12-24 07:05:15,688 - pyskl - INFO - Epoch [56][2400/3405] lr: 1.742e-02, eta: 23:19:42, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7906, top5_acc: 0.9637, loss_cls: 3.5314, loss: 3.5314 2023-12-24 07:05:41,145 - pyskl - INFO - Epoch [56][2500/3405] lr: 1.741e-02, eta: 23:19:15, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9738, loss_cls: 3.5376, loss: 3.5376 2023-12-24 07:06:06,560 - pyskl - INFO - Epoch [56][2600/3405] lr: 1.740e-02, eta: 23:18:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9587, loss_cls: 3.5843, loss: 3.5843 2023-12-24 07:06:32,174 - pyskl - INFO - Epoch [56][2700/3405] lr: 1.739e-02, eta: 23:18:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8269, top5_acc: 0.9744, loss_cls: 3.4404, loss: 3.4404 2023-12-24 07:06:57,289 - pyskl - INFO - Epoch [56][2800/3405] lr: 1.739e-02, eta: 23:17:53, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8056, top5_acc: 0.9738, loss_cls: 3.4904, loss: 3.4904 2023-12-24 07:07:22,638 - pyskl - INFO - Epoch [56][2900/3405] lr: 1.738e-02, eta: 23:17:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9656, loss_cls: 3.5507, loss: 3.5507 2023-12-24 07:07:48,121 - pyskl - INFO - Epoch [56][3000/3405] lr: 1.737e-02, eta: 23:16:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9669, loss_cls: 3.5350, loss: 3.5350 2023-12-24 07:08:13,288 - pyskl - INFO - Epoch [56][3100/3405] lr: 1.737e-02, eta: 23:16:30, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8094, top5_acc: 0.9656, loss_cls: 3.5509, loss: 3.5509 2023-12-24 07:08:38,409 - pyskl - INFO - Epoch [56][3200/3405] lr: 1.736e-02, eta: 23:16:02, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7837, top5_acc: 0.9613, loss_cls: 3.5771, loss: 3.5771 2023-12-24 07:09:03,577 - pyskl - INFO - Epoch [56][3300/3405] lr: 1.735e-02, eta: 23:15:34, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9594, loss_cls: 3.5231, loss: 3.5231 2023-12-24 07:09:28,709 - pyskl - INFO - Epoch [56][3400/3405] lr: 1.734e-02, eta: 23:15:06, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9606, loss_cls: 3.5803, loss: 3.5803 2023-12-24 07:09:30,718 - pyskl - INFO - Saving checkpoint at 56 epochs 2023-12-24 07:13:53,889 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 07:13:54,502 - pyskl - INFO - top1_acc 0.7734 top5_acc 0.9512 2023-12-24 07:13:54,507 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_54.pth was removed 2023-12-24 07:13:54,713 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. 2023-12-24 07:13:54,714 - pyskl - INFO - Best top1_acc is 0.7734 at 56 epoch. 2023-12-24 07:13:54,739 - pyskl - INFO - Epoch(val) [56][3718] top1_acc: 0.7734, top5_acc: 0.9512 2023-12-24 07:14:46,982 - pyskl - INFO - Epoch [57][100/3405] lr: 1.734e-02, eta: 23:15:21, time: 0.522, data_time: 0.273, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9663, loss_cls: 3.4912, loss: 3.4912 2023-12-24 07:15:12,027 - pyskl - INFO - Epoch [57][200/3405] lr: 1.733e-02, eta: 23:14:53, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9625, loss_cls: 3.6001, loss: 3.6001 2023-12-24 07:15:37,151 - pyskl - INFO - Epoch [57][300/3405] lr: 1.732e-02, eta: 23:14:25, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8156, top5_acc: 0.9681, loss_cls: 3.4997, loss: 3.4997 2023-12-24 07:16:03,123 - pyskl - INFO - Epoch [57][400/3405] lr: 1.732e-02, eta: 23:13:58, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8150, top5_acc: 0.9719, loss_cls: 3.4916, loss: 3.4916 2023-12-24 07:16:28,534 - pyskl - INFO - Epoch [57][500/3405] lr: 1.731e-02, eta: 23:13:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9669, loss_cls: 3.5369, loss: 3.5369 2023-12-24 07:16:53,974 - pyskl - INFO - Epoch [57][600/3405] lr: 1.730e-02, eta: 23:13:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7944, top5_acc: 0.9656, loss_cls: 3.5277, loss: 3.5277 2023-12-24 07:17:19,745 - pyskl - INFO - Epoch [57][700/3405] lr: 1.729e-02, eta: 23:12:37, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9694, loss_cls: 3.5074, loss: 3.5074 2023-12-24 07:17:45,589 - pyskl - INFO - Epoch [57][800/3405] lr: 1.729e-02, eta: 23:12:10, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8269, top5_acc: 0.9731, loss_cls: 3.4507, loss: 3.4507 2023-12-24 07:18:11,400 - pyskl - INFO - Epoch [57][900/3405] lr: 1.728e-02, eta: 23:11:43, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7981, top5_acc: 0.9669, loss_cls: 3.5254, loss: 3.5254 2023-12-24 07:18:37,016 - pyskl - INFO - Epoch [57][1000/3405] lr: 1.727e-02, eta: 23:11:16, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9738, loss_cls: 3.4848, loss: 3.4848 2023-12-24 07:19:02,329 - pyskl - INFO - Epoch [57][1100/3405] lr: 1.727e-02, eta: 23:10:48, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8119, top5_acc: 0.9619, loss_cls: 3.5105, loss: 3.5105 2023-12-24 07:19:27,727 - pyskl - INFO - Epoch [57][1200/3405] lr: 1.726e-02, eta: 23:10:21, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9637, loss_cls: 3.5672, loss: 3.5672 2023-12-24 07:19:53,376 - pyskl - INFO - Epoch [57][1300/3405] lr: 1.725e-02, eta: 23:09:54, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7944, top5_acc: 0.9706, loss_cls: 3.5332, loss: 3.5332 2023-12-24 07:20:18,996 - pyskl - INFO - Epoch [57][1400/3405] lr: 1.724e-02, eta: 23:09:27, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8150, top5_acc: 0.9669, loss_cls: 3.4919, loss: 3.4919 2023-12-24 07:20:44,444 - pyskl - INFO - Epoch [57][1500/3405] lr: 1.724e-02, eta: 23:09:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9675, loss_cls: 3.5220, loss: 3.5220 2023-12-24 07:21:10,193 - pyskl - INFO - Epoch [57][1600/3405] lr: 1.723e-02, eta: 23:08:33, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7775, top5_acc: 0.9606, loss_cls: 3.5765, loss: 3.5765 2023-12-24 07:21:35,832 - pyskl - INFO - Epoch [57][1700/3405] lr: 1.722e-02, eta: 23:08:06, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9656, loss_cls: 3.5821, loss: 3.5821 2023-12-24 07:22:01,323 - pyskl - INFO - Epoch [57][1800/3405] lr: 1.722e-02, eta: 23:07:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9575, loss_cls: 3.5721, loss: 3.5721 2023-12-24 07:22:27,123 - pyskl - INFO - Epoch [57][1900/3405] lr: 1.721e-02, eta: 23:07:12, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9663, loss_cls: 3.5676, loss: 3.5676 2023-12-24 07:22:52,951 - pyskl - INFO - Epoch [57][2000/3405] lr: 1.720e-02, eta: 23:06:45, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8000, top5_acc: 0.9706, loss_cls: 3.5219, loss: 3.5219 2023-12-24 07:23:18,202 - pyskl - INFO - Epoch [57][2100/3405] lr: 1.719e-02, eta: 23:06:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9563, loss_cls: 3.5703, loss: 3.5703 2023-12-24 07:23:43,371 - pyskl - INFO - Epoch [57][2200/3405] lr: 1.719e-02, eta: 23:05:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7944, top5_acc: 0.9731, loss_cls: 3.5272, loss: 3.5272 2023-12-24 07:24:08,853 - pyskl - INFO - Epoch [57][2300/3405] lr: 1.718e-02, eta: 23:05:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9694, loss_cls: 3.5119, loss: 3.5119 2023-12-24 07:24:34,444 - pyskl - INFO - Epoch [57][2400/3405] lr: 1.717e-02, eta: 23:04:55, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7594, top5_acc: 0.9581, loss_cls: 3.6205, loss: 3.6205 2023-12-24 07:24:59,910 - pyskl - INFO - Epoch [57][2500/3405] lr: 1.717e-02, eta: 23:04:28, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9719, loss_cls: 3.5080, loss: 3.5080 2023-12-24 07:25:25,210 - pyskl - INFO - Epoch [57][2600/3405] lr: 1.716e-02, eta: 23:04:00, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9606, loss_cls: 3.5277, loss: 3.5277 2023-12-24 07:25:50,614 - pyskl - INFO - Epoch [57][2700/3405] lr: 1.715e-02, eta: 23:03:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7925, top5_acc: 0.9625, loss_cls: 3.5453, loss: 3.5453 2023-12-24 07:26:15,904 - pyskl - INFO - Epoch [57][2800/3405] lr: 1.714e-02, eta: 23:03:05, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7869, top5_acc: 0.9644, loss_cls: 3.5678, loss: 3.5678 2023-12-24 07:26:42,092 - pyskl - INFO - Epoch [57][2900/3405] lr: 1.714e-02, eta: 23:02:39, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9712, loss_cls: 3.5502, loss: 3.5502 2023-12-24 07:27:07,954 - pyskl - INFO - Epoch [57][3000/3405] lr: 1.713e-02, eta: 23:02:13, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7987, top5_acc: 0.9587, loss_cls: 3.5621, loss: 3.5621 2023-12-24 07:27:33,422 - pyskl - INFO - Epoch [57][3100/3405] lr: 1.712e-02, eta: 23:01:45, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9563, loss_cls: 3.6003, loss: 3.6003 2023-12-24 07:27:58,527 - pyskl - INFO - Epoch [57][3200/3405] lr: 1.712e-02, eta: 23:01:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9613, loss_cls: 3.5894, loss: 3.5894 2023-12-24 07:28:23,641 - pyskl - INFO - Epoch [57][3300/3405] lr: 1.711e-02, eta: 23:00:50, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9637, loss_cls: 3.5950, loss: 3.5950 2023-12-24 07:28:48,733 - pyskl - INFO - Epoch [57][3400/3405] lr: 1.710e-02, eta: 23:00:22, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9556, loss_cls: 3.5904, loss: 3.5904 2023-12-24 07:28:50,778 - pyskl - INFO - Saving checkpoint at 57 epochs 2023-12-24 07:33:14,225 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 07:33:14,827 - pyskl - INFO - top1_acc 0.7831 top5_acc 0.9556 2023-12-24 07:33:14,832 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_56.pth was removed 2023-12-24 07:33:15,037 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_57.pth. 2023-12-24 07:33:15,039 - pyskl - INFO - Best top1_acc is 0.7831 at 57 epoch. 2023-12-24 07:33:15,064 - pyskl - INFO - Epoch(val) [57][3718] top1_acc: 0.7831, top5_acc: 0.9556 2023-12-24 07:34:07,387 - pyskl - INFO - Epoch [58][100/3405] lr: 1.709e-02, eta: 23:00:35, time: 0.523, data_time: 0.273, memory: 5236, top1_acc: 0.8000, top5_acc: 0.9631, loss_cls: 3.5343, loss: 3.5343 2023-12-24 07:34:32,498 - pyskl - INFO - Epoch [58][200/3405] lr: 1.709e-02, eta: 23:00:07, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9700, loss_cls: 3.5114, loss: 3.5114 2023-12-24 07:34:57,775 - pyskl - INFO - Epoch [58][300/3405] lr: 1.708e-02, eta: 22:59:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8237, top5_acc: 0.9681, loss_cls: 3.4749, loss: 3.4749 2023-12-24 07:35:23,104 - pyskl - INFO - Epoch [58][400/3405] lr: 1.707e-02, eta: 22:59:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9594, loss_cls: 3.4959, loss: 3.4959 2023-12-24 07:35:48,356 - pyskl - INFO - Epoch [58][500/3405] lr: 1.707e-02, eta: 22:58:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9663, loss_cls: 3.5328, loss: 3.5328 2023-12-24 07:36:13,672 - pyskl - INFO - Epoch [58][600/3405] lr: 1.706e-02, eta: 22:58:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9681, loss_cls: 3.5059, loss: 3.5059 2023-12-24 07:36:39,055 - pyskl - INFO - Epoch [58][700/3405] lr: 1.705e-02, eta: 22:57:49, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9744, loss_cls: 3.5107, loss: 3.5107 2023-12-24 07:37:05,077 - pyskl - INFO - Epoch [58][800/3405] lr: 1.704e-02, eta: 22:57:23, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9694, loss_cls: 3.4920, loss: 3.4920 2023-12-24 07:37:30,727 - pyskl - INFO - Epoch [58][900/3405] lr: 1.704e-02, eta: 22:56:56, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8037, top5_acc: 0.9694, loss_cls: 3.5222, loss: 3.5222 2023-12-24 07:37:56,091 - pyskl - INFO - Epoch [58][1000/3405] lr: 1.703e-02, eta: 22:56:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9644, loss_cls: 3.4987, loss: 3.4987 2023-12-24 07:38:21,464 - pyskl - INFO - Epoch [58][1100/3405] lr: 1.702e-02, eta: 22:56:01, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9663, loss_cls: 3.4944, loss: 3.4944 2023-12-24 07:38:46,933 - pyskl - INFO - Epoch [58][1200/3405] lr: 1.702e-02, eta: 22:55:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7944, top5_acc: 0.9619, loss_cls: 3.5403, loss: 3.5403 2023-12-24 07:39:12,095 - pyskl - INFO - Epoch [58][1300/3405] lr: 1.701e-02, eta: 22:55:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9712, loss_cls: 3.5003, loss: 3.5003 2023-12-24 07:39:37,664 - pyskl - INFO - Epoch [58][1400/3405] lr: 1.700e-02, eta: 22:54:39, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9606, loss_cls: 3.5434, loss: 3.5434 2023-12-24 07:40:03,078 - pyskl - INFO - Epoch [58][1500/3405] lr: 1.699e-02, eta: 22:54:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7800, top5_acc: 0.9569, loss_cls: 3.6036, loss: 3.6036 2023-12-24 07:40:28,975 - pyskl - INFO - Epoch [58][1600/3405] lr: 1.699e-02, eta: 22:53:45, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8044, top5_acc: 0.9738, loss_cls: 3.5168, loss: 3.5168 2023-12-24 07:40:54,005 - pyskl - INFO - Epoch [58][1700/3405] lr: 1.698e-02, eta: 22:53:17, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9675, loss_cls: 3.5231, loss: 3.5231 2023-12-24 07:41:20,158 - pyskl - INFO - Epoch [58][1800/3405] lr: 1.697e-02, eta: 22:52:50, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9681, loss_cls: 3.5173, loss: 3.5173 2023-12-24 07:41:45,386 - pyskl - INFO - Epoch [58][1900/3405] lr: 1.697e-02, eta: 22:52:23, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9700, loss_cls: 3.5675, loss: 3.5675 2023-12-24 07:42:11,003 - pyskl - INFO - Epoch [58][2000/3405] lr: 1.696e-02, eta: 22:51:56, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7819, top5_acc: 0.9644, loss_cls: 3.5655, loss: 3.5655 2023-12-24 07:42:36,406 - pyskl - INFO - Epoch [58][2100/3405] lr: 1.695e-02, eta: 22:51:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7731, top5_acc: 0.9569, loss_cls: 3.6302, loss: 3.6302 2023-12-24 07:43:01,742 - pyskl - INFO - Epoch [58][2200/3405] lr: 1.694e-02, eta: 22:51:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9656, loss_cls: 3.5608, loss: 3.5608 2023-12-24 07:43:27,294 - pyskl - INFO - Epoch [58][2300/3405] lr: 1.694e-02, eta: 22:50:34, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8044, top5_acc: 0.9738, loss_cls: 3.4894, loss: 3.4894 2023-12-24 07:43:52,753 - pyskl - INFO - Epoch [58][2400/3405] lr: 1.693e-02, eta: 22:50:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9631, loss_cls: 3.5572, loss: 3.5572 2023-12-24 07:44:18,384 - pyskl - INFO - Epoch [58][2500/3405] lr: 1.692e-02, eta: 22:49:40, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9712, loss_cls: 3.5561, loss: 3.5561 2023-12-24 07:44:43,827 - pyskl - INFO - Epoch [58][2600/3405] lr: 1.692e-02, eta: 22:49:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9756, loss_cls: 3.5133, loss: 3.5133 2023-12-24 07:45:09,491 - pyskl - INFO - Epoch [58][2700/3405] lr: 1.691e-02, eta: 22:48:45, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9594, loss_cls: 3.5827, loss: 3.5827 2023-12-24 07:45:34,940 - pyskl - INFO - Epoch [58][2800/3405] lr: 1.690e-02, eta: 22:48:18, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9663, loss_cls: 3.5477, loss: 3.5477 2023-12-24 07:46:00,252 - pyskl - INFO - Epoch [58][2900/3405] lr: 1.689e-02, eta: 22:47:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8137, top5_acc: 0.9700, loss_cls: 3.4898, loss: 3.4898 2023-12-24 07:46:25,429 - pyskl - INFO - Epoch [58][3000/3405] lr: 1.689e-02, eta: 22:47:23, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9637, loss_cls: 3.5221, loss: 3.5221 2023-12-24 07:46:50,753 - pyskl - INFO - Epoch [58][3100/3405] lr: 1.688e-02, eta: 22:46:55, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9669, loss_cls: 3.5206, loss: 3.5206 2023-12-24 07:47:15,700 - pyskl - INFO - Epoch [58][3200/3405] lr: 1.687e-02, eta: 22:46:27, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7869, top5_acc: 0.9581, loss_cls: 3.5688, loss: 3.5688 2023-12-24 07:47:40,639 - pyskl - INFO - Epoch [58][3300/3405] lr: 1.686e-02, eta: 22:45:59, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8056, top5_acc: 0.9656, loss_cls: 3.5335, loss: 3.5335 2023-12-24 07:48:05,587 - pyskl - INFO - Epoch [58][3400/3405] lr: 1.686e-02, eta: 22:45:31, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8031, top5_acc: 0.9669, loss_cls: 3.5473, loss: 3.5473 2023-12-24 07:48:07,569 - pyskl - INFO - Saving checkpoint at 58 epochs 2023-12-24 07:52:30,332 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 07:52:30,939 - pyskl - INFO - top1_acc 0.7755 top5_acc 0.9524 2023-12-24 07:52:30,964 - pyskl - INFO - Epoch(val) [58][3718] top1_acc: 0.7755, top5_acc: 0.9524 2023-12-24 07:53:23,078 - pyskl - INFO - Epoch [59][100/3405] lr: 1.685e-02, eta: 22:45:43, time: 0.521, data_time: 0.270, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9706, loss_cls: 3.4850, loss: 3.4850 2023-12-24 07:53:48,157 - pyskl - INFO - Epoch [59][200/3405] lr: 1.684e-02, eta: 22:45:15, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8031, top5_acc: 0.9656, loss_cls: 3.5359, loss: 3.5359 2023-12-24 07:54:13,245 - pyskl - INFO - Epoch [59][300/3405] lr: 1.684e-02, eta: 22:44:47, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9569, loss_cls: 3.5405, loss: 3.5405 2023-12-24 07:54:38,722 - pyskl - INFO - Epoch [59][400/3405] lr: 1.683e-02, eta: 22:44:20, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8087, top5_acc: 0.9681, loss_cls: 3.5028, loss: 3.5028 2023-12-24 07:55:04,363 - pyskl - INFO - Epoch [59][500/3405] lr: 1.682e-02, eta: 22:43:53, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9681, loss_cls: 3.5421, loss: 3.5421 2023-12-24 07:55:29,322 - pyskl - INFO - Epoch [59][600/3405] lr: 1.681e-02, eta: 22:43:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8000, top5_acc: 0.9731, loss_cls: 3.5229, loss: 3.5229 2023-12-24 07:55:55,316 - pyskl - INFO - Epoch [59][700/3405] lr: 1.681e-02, eta: 22:42:58, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9731, loss_cls: 3.4844, loss: 3.4844 2023-12-24 07:56:21,150 - pyskl - INFO - Epoch [59][800/3405] lr: 1.680e-02, eta: 22:42:31, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9656, loss_cls: 3.4997, loss: 3.4997 2023-12-24 07:56:46,929 - pyskl - INFO - Epoch [59][900/3405] lr: 1.679e-02, eta: 22:42:05, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7981, top5_acc: 0.9675, loss_cls: 3.5261, loss: 3.5261 2023-12-24 07:57:12,245 - pyskl - INFO - Epoch [59][1000/3405] lr: 1.679e-02, eta: 22:41:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9669, loss_cls: 3.5146, loss: 3.5146 2023-12-24 07:57:37,892 - pyskl - INFO - Epoch [59][1100/3405] lr: 1.678e-02, eta: 22:41:10, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8094, top5_acc: 0.9706, loss_cls: 3.4755, loss: 3.4755 2023-12-24 07:58:03,496 - pyskl - INFO - Epoch [59][1200/3405] lr: 1.677e-02, eta: 22:40:43, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9669, loss_cls: 3.5256, loss: 3.5256 2023-12-24 07:58:28,743 - pyskl - INFO - Epoch [59][1300/3405] lr: 1.676e-02, eta: 22:40:16, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9669, loss_cls: 3.4940, loss: 3.4940 2023-12-24 07:58:53,969 - pyskl - INFO - Epoch [59][1400/3405] lr: 1.676e-02, eta: 22:39:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9600, loss_cls: 3.5787, loss: 3.5787 2023-12-24 07:59:19,454 - pyskl - INFO - Epoch [59][1500/3405] lr: 1.675e-02, eta: 22:39:21, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7919, top5_acc: 0.9644, loss_cls: 3.5365, loss: 3.5365 2023-12-24 07:59:44,893 - pyskl - INFO - Epoch [59][1600/3405] lr: 1.674e-02, eta: 22:38:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8019, top5_acc: 0.9688, loss_cls: 3.5230, loss: 3.5230 2023-12-24 08:00:10,199 - pyskl - INFO - Epoch [59][1700/3405] lr: 1.673e-02, eta: 22:38:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9712, loss_cls: 3.5132, loss: 3.5132 2023-12-24 08:00:35,835 - pyskl - INFO - Epoch [59][1800/3405] lr: 1.673e-02, eta: 22:37:59, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8150, top5_acc: 0.9700, loss_cls: 3.4691, loss: 3.4691 2023-12-24 08:01:01,120 - pyskl - INFO - Epoch [59][1900/3405] lr: 1.672e-02, eta: 22:37:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9712, loss_cls: 3.5438, loss: 3.5438 2023-12-24 08:01:26,321 - pyskl - INFO - Epoch [59][2000/3405] lr: 1.671e-02, eta: 22:37:04, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8087, top5_acc: 0.9688, loss_cls: 3.4948, loss: 3.4948 2023-12-24 08:01:51,730 - pyskl - INFO - Epoch [59][2100/3405] lr: 1.671e-02, eta: 22:36:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7925, top5_acc: 0.9712, loss_cls: 3.5333, loss: 3.5333 2023-12-24 08:02:17,169 - pyskl - INFO - Epoch [59][2200/3405] lr: 1.670e-02, eta: 22:36:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9625, loss_cls: 3.5434, loss: 3.5434 2023-12-24 08:02:42,772 - pyskl - INFO - Epoch [59][2300/3405] lr: 1.669e-02, eta: 22:35:42, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9669, loss_cls: 3.5568, loss: 3.5568 2023-12-24 08:03:08,039 - pyskl - INFO - Epoch [59][2400/3405] lr: 1.668e-02, eta: 22:35:15, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9625, loss_cls: 3.5423, loss: 3.5423 2023-12-24 08:03:34,196 - pyskl - INFO - Epoch [59][2500/3405] lr: 1.668e-02, eta: 22:34:48, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9606, loss_cls: 3.5656, loss: 3.5656 2023-12-24 08:03:59,938 - pyskl - INFO - Epoch [59][2600/3405] lr: 1.667e-02, eta: 22:34:22, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9600, loss_cls: 3.5416, loss: 3.5416 2023-12-24 08:04:26,022 - pyskl - INFO - Epoch [59][2700/3405] lr: 1.666e-02, eta: 22:33:55, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8056, top5_acc: 0.9719, loss_cls: 3.4983, loss: 3.4983 2023-12-24 08:04:51,288 - pyskl - INFO - Epoch [59][2800/3405] lr: 1.665e-02, eta: 22:33:28, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7869, top5_acc: 0.9644, loss_cls: 3.6047, loss: 3.6047 2023-12-24 08:05:16,387 - pyskl - INFO - Epoch [59][2900/3405] lr: 1.665e-02, eta: 22:33:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9681, loss_cls: 3.5103, loss: 3.5103 2023-12-24 08:05:41,764 - pyskl - INFO - Epoch [59][3000/3405] lr: 1.664e-02, eta: 22:32:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7744, top5_acc: 0.9531, loss_cls: 3.6370, loss: 3.6370 2023-12-24 08:06:07,287 - pyskl - INFO - Epoch [59][3100/3405] lr: 1.663e-02, eta: 22:32:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9675, loss_cls: 3.4804, loss: 3.4804 2023-12-24 08:06:32,762 - pyskl - INFO - Epoch [59][3200/3405] lr: 1.663e-02, eta: 22:31:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8006, top5_acc: 0.9563, loss_cls: 3.5435, loss: 3.5435 2023-12-24 08:06:58,002 - pyskl - INFO - Epoch [59][3300/3405] lr: 1.662e-02, eta: 22:31:11, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7837, top5_acc: 0.9581, loss_cls: 3.5530, loss: 3.5530 2023-12-24 08:07:23,137 - pyskl - INFO - Epoch [59][3400/3405] lr: 1.661e-02, eta: 22:30:43, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9650, loss_cls: 3.5065, loss: 3.5065 2023-12-24 08:07:25,152 - pyskl - INFO - Saving checkpoint at 59 epochs 2023-12-24 08:11:48,221 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 08:11:48,830 - pyskl - INFO - top1_acc 0.7544 top5_acc 0.9437 2023-12-24 08:11:48,856 - pyskl - INFO - Epoch(val) [59][3718] top1_acc: 0.7544, top5_acc: 0.9437 2023-12-24 08:12:41,319 - pyskl - INFO - Epoch [60][100/3405] lr: 1.660e-02, eta: 22:30:54, time: 0.525, data_time: 0.272, memory: 5236, top1_acc: 0.8006, top5_acc: 0.9725, loss_cls: 3.5018, loss: 3.5018 2023-12-24 08:13:06,397 - pyskl - INFO - Epoch [60][200/3405] lr: 1.660e-02, eta: 22:30:26, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9731, loss_cls: 3.4936, loss: 3.4936 2023-12-24 08:13:32,249 - pyskl - INFO - Epoch [60][300/3405] lr: 1.659e-02, eta: 22:29:59, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8031, top5_acc: 0.9681, loss_cls: 3.5292, loss: 3.5292 2023-12-24 08:13:57,320 - pyskl - INFO - Epoch [60][400/3405] lr: 1.658e-02, eta: 22:29:32, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9712, loss_cls: 3.4759, loss: 3.4759 2023-12-24 08:14:22,671 - pyskl - INFO - Epoch [60][500/3405] lr: 1.657e-02, eta: 22:29:04, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8206, top5_acc: 0.9756, loss_cls: 3.4529, loss: 3.4529 2023-12-24 08:14:47,587 - pyskl - INFO - Epoch [60][600/3405] lr: 1.657e-02, eta: 22:28:36, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8025, top5_acc: 0.9694, loss_cls: 3.5164, loss: 3.5164 2023-12-24 08:15:12,525 - pyskl - INFO - Epoch [60][700/3405] lr: 1.656e-02, eta: 22:28:08, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9575, loss_cls: 3.5628, loss: 3.5628 2023-12-24 08:15:37,954 - pyskl - INFO - Epoch [60][800/3405] lr: 1.655e-02, eta: 22:27:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9700, loss_cls: 3.5032, loss: 3.5032 2023-12-24 08:16:03,565 - pyskl - INFO - Epoch [60][900/3405] lr: 1.655e-02, eta: 22:27:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9719, loss_cls: 3.5307, loss: 3.5307 2023-12-24 08:16:28,998 - pyskl - INFO - Epoch [60][1000/3405] lr: 1.654e-02, eta: 22:26:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9681, loss_cls: 3.5230, loss: 3.5230 2023-12-24 08:16:54,705 - pyskl - INFO - Epoch [60][1100/3405] lr: 1.653e-02, eta: 22:26:20, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9750, loss_cls: 3.4698, loss: 3.4698 2023-12-24 08:17:19,928 - pyskl - INFO - Epoch [60][1200/3405] lr: 1.652e-02, eta: 22:25:52, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9594, loss_cls: 3.5790, loss: 3.5790 2023-12-24 08:17:45,248 - pyskl - INFO - Epoch [60][1300/3405] lr: 1.652e-02, eta: 22:25:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9644, loss_cls: 3.5024, loss: 3.5024 2023-12-24 08:18:10,715 - pyskl - INFO - Epoch [60][1400/3405] lr: 1.651e-02, eta: 22:24:57, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9594, loss_cls: 3.5217, loss: 3.5217 2023-12-24 08:18:36,362 - pyskl - INFO - Epoch [60][1500/3405] lr: 1.650e-02, eta: 22:24:30, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8150, top5_acc: 0.9744, loss_cls: 3.4846, loss: 3.4846 2023-12-24 08:19:01,732 - pyskl - INFO - Epoch [60][1600/3405] lr: 1.649e-02, eta: 22:24:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9694, loss_cls: 3.4878, loss: 3.4878 2023-12-24 08:19:27,592 - pyskl - INFO - Epoch [60][1700/3405] lr: 1.649e-02, eta: 22:23:36, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8244, top5_acc: 0.9719, loss_cls: 3.4430, loss: 3.4430 2023-12-24 08:19:53,703 - pyskl - INFO - Epoch [60][1800/3405] lr: 1.648e-02, eta: 22:23:10, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.7981, top5_acc: 0.9669, loss_cls: 3.5114, loss: 3.5114 2023-12-24 08:20:19,316 - pyskl - INFO - Epoch [60][1900/3405] lr: 1.647e-02, eta: 22:22:43, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8087, top5_acc: 0.9688, loss_cls: 3.5279, loss: 3.5279 2023-12-24 08:20:45,095 - pyskl - INFO - Epoch [60][2000/3405] lr: 1.647e-02, eta: 22:22:16, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9669, loss_cls: 3.5355, loss: 3.5355 2023-12-24 08:21:10,411 - pyskl - INFO - Epoch [60][2100/3405] lr: 1.646e-02, eta: 22:21:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8175, top5_acc: 0.9688, loss_cls: 3.4703, loss: 3.4703 2023-12-24 08:21:35,917 - pyskl - INFO - Epoch [60][2200/3405] lr: 1.645e-02, eta: 22:21:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9625, loss_cls: 3.5508, loss: 3.5508 2023-12-24 08:22:00,945 - pyskl - INFO - Epoch [60][2300/3405] lr: 1.644e-02, eta: 22:20:54, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9706, loss_cls: 3.5647, loss: 3.5647 2023-12-24 08:22:26,389 - pyskl - INFO - Epoch [60][2400/3405] lr: 1.644e-02, eta: 22:20:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9594, loss_cls: 3.5389, loss: 3.5389 2023-12-24 08:22:51,774 - pyskl - INFO - Epoch [60][2500/3405] lr: 1.643e-02, eta: 22:19:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7937, top5_acc: 0.9644, loss_cls: 3.5698, loss: 3.5698 2023-12-24 08:23:17,248 - pyskl - INFO - Epoch [60][2600/3405] lr: 1.642e-02, eta: 22:19:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8219, top5_acc: 0.9781, loss_cls: 3.4630, loss: 3.4630 2023-12-24 08:23:43,578 - pyskl - INFO - Epoch [60][2700/3405] lr: 1.641e-02, eta: 22:19:06, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9550, loss_cls: 3.5569, loss: 3.5569 2023-12-24 08:24:09,071 - pyskl - INFO - Epoch [60][2800/3405] lr: 1.641e-02, eta: 22:18:39, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7794, top5_acc: 0.9656, loss_cls: 3.5893, loss: 3.5893 2023-12-24 08:24:34,465 - pyskl - INFO - Epoch [60][2900/3405] lr: 1.640e-02, eta: 22:18:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9706, loss_cls: 3.5019, loss: 3.5019 2023-12-24 08:24:59,732 - pyskl - INFO - Epoch [60][3000/3405] lr: 1.639e-02, eta: 22:17:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8094, top5_acc: 0.9600, loss_cls: 3.5125, loss: 3.5125 2023-12-24 08:25:24,987 - pyskl - INFO - Epoch [60][3100/3405] lr: 1.639e-02, eta: 22:17:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7881, top5_acc: 0.9606, loss_cls: 3.5746, loss: 3.5746 2023-12-24 08:25:50,305 - pyskl - INFO - Epoch [60][3200/3405] lr: 1.638e-02, eta: 22:16:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9587, loss_cls: 3.5724, loss: 3.5724 2023-12-24 08:26:15,507 - pyskl - INFO - Epoch [60][3300/3405] lr: 1.637e-02, eta: 22:16:22, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7919, top5_acc: 0.9563, loss_cls: 3.5451, loss: 3.5451 2023-12-24 08:26:40,688 - pyskl - INFO - Epoch [60][3400/3405] lr: 1.636e-02, eta: 22:15:54, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9700, loss_cls: 3.5350, loss: 3.5350 2023-12-24 08:26:42,577 - pyskl - INFO - Saving checkpoint at 60 epochs 2023-12-24 08:31:05,656 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 08:31:06,253 - pyskl - INFO - top1_acc 0.7356 top5_acc 0.9358 2023-12-24 08:31:06,278 - pyskl - INFO - Epoch(val) [60][3718] top1_acc: 0.7356, top5_acc: 0.9358 2023-12-24 08:31:58,349 - pyskl - INFO - Epoch [61][100/3405] lr: 1.636e-02, eta: 22:16:04, time: 0.521, data_time: 0.271, memory: 5236, top1_acc: 0.8119, top5_acc: 0.9706, loss_cls: 3.4901, loss: 3.4901 2023-12-24 08:32:23,170 - pyskl - INFO - Epoch [61][200/3405] lr: 1.635e-02, eta: 22:15:35, time: 0.248, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9756, loss_cls: 3.4890, loss: 3.4890 2023-12-24 08:32:47,998 - pyskl - INFO - Epoch [61][300/3405] lr: 1.634e-02, eta: 22:15:07, time: 0.248, data_time: 0.000, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9688, loss_cls: 3.5174, loss: 3.5174 2023-12-24 08:33:12,881 - pyskl - INFO - Epoch [61][400/3405] lr: 1.633e-02, eta: 22:14:39, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9644, loss_cls: 3.5339, loss: 3.5339 2023-12-24 08:33:38,023 - pyskl - INFO - Epoch [61][500/3405] lr: 1.633e-02, eta: 22:14:11, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8031, top5_acc: 0.9637, loss_cls: 3.5233, loss: 3.5233 2023-12-24 08:34:03,661 - pyskl - INFO - Epoch [61][600/3405] lr: 1.632e-02, eta: 22:13:45, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9750, loss_cls: 3.4649, loss: 3.4649 2023-12-24 08:34:29,741 - pyskl - INFO - Epoch [61][700/3405] lr: 1.631e-02, eta: 22:13:18, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9700, loss_cls: 3.4978, loss: 3.4978 2023-12-24 08:34:55,672 - pyskl - INFO - Epoch [61][800/3405] lr: 1.630e-02, eta: 22:12:52, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.7863, top5_acc: 0.9600, loss_cls: 3.5616, loss: 3.5616 2023-12-24 08:35:21,275 - pyskl - INFO - Epoch [61][900/3405] lr: 1.630e-02, eta: 22:12:25, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7981, top5_acc: 0.9694, loss_cls: 3.5009, loss: 3.5009 2023-12-24 08:35:46,742 - pyskl - INFO - Epoch [61][1000/3405] lr: 1.629e-02, eta: 22:11:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9725, loss_cls: 3.5100, loss: 3.5100 2023-12-24 08:36:12,003 - pyskl - INFO - Epoch [61][1100/3405] lr: 1.628e-02, eta: 22:11:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8113, top5_acc: 0.9656, loss_cls: 3.5046, loss: 3.5046 2023-12-24 08:36:37,552 - pyskl - INFO - Epoch [61][1200/3405] lr: 1.627e-02, eta: 22:11:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8119, top5_acc: 0.9719, loss_cls: 3.4996, loss: 3.4996 2023-12-24 08:37:03,370 - pyskl - INFO - Epoch [61][1300/3405] lr: 1.627e-02, eta: 22:10:36, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7844, top5_acc: 0.9600, loss_cls: 3.5809, loss: 3.5809 2023-12-24 08:37:28,834 - pyskl - INFO - Epoch [61][1400/3405] lr: 1.626e-02, eta: 22:10:09, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9619, loss_cls: 3.5289, loss: 3.5289 2023-12-24 08:37:54,480 - pyskl - INFO - Epoch [61][1500/3405] lr: 1.625e-02, eta: 22:09:42, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9719, loss_cls: 3.4799, loss: 3.4799 2023-12-24 08:38:20,119 - pyskl - INFO - Epoch [61][1600/3405] lr: 1.625e-02, eta: 22:09:15, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9694, loss_cls: 3.5108, loss: 3.5108 2023-12-24 08:38:45,698 - pyskl - INFO - Epoch [61][1700/3405] lr: 1.624e-02, eta: 22:08:48, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9731, loss_cls: 3.5173, loss: 3.5173 2023-12-24 08:39:11,000 - pyskl - INFO - Epoch [61][1800/3405] lr: 1.623e-02, eta: 22:08:21, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9719, loss_cls: 3.4782, loss: 3.4782 2023-12-24 08:39:36,895 - pyskl - INFO - Epoch [61][1900/3405] lr: 1.622e-02, eta: 22:07:54, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9631, loss_cls: 3.5070, loss: 3.5070 2023-12-24 08:40:02,881 - pyskl - INFO - Epoch [61][2000/3405] lr: 1.622e-02, eta: 22:07:28, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7925, top5_acc: 0.9675, loss_cls: 3.5308, loss: 3.5308 2023-12-24 08:40:27,962 - pyskl - INFO - Epoch [61][2100/3405] lr: 1.621e-02, eta: 22:07:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8006, top5_acc: 0.9600, loss_cls: 3.5342, loss: 3.5342 2023-12-24 08:40:53,345 - pyskl - INFO - Epoch [61][2200/3405] lr: 1.620e-02, eta: 22:06:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9644, loss_cls: 3.5214, loss: 3.5214 2023-12-24 08:41:19,049 - pyskl - INFO - Epoch [61][2300/3405] lr: 1.619e-02, eta: 22:06:06, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9650, loss_cls: 3.5402, loss: 3.5402 2023-12-24 08:41:44,592 - pyskl - INFO - Epoch [61][2400/3405] lr: 1.619e-02, eta: 22:05:39, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9688, loss_cls: 3.5198, loss: 3.5198 2023-12-24 08:42:09,761 - pyskl - INFO - Epoch [61][2500/3405] lr: 1.618e-02, eta: 22:05:11, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9706, loss_cls: 3.5235, loss: 3.5235 2023-12-24 08:42:35,765 - pyskl - INFO - Epoch [61][2600/3405] lr: 1.617e-02, eta: 22:04:45, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9637, loss_cls: 3.5175, loss: 3.5175 2023-12-24 08:43:01,363 - pyskl - INFO - Epoch [61][2700/3405] lr: 1.616e-02, eta: 22:04:18, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8037, top5_acc: 0.9738, loss_cls: 3.5085, loss: 3.5085 2023-12-24 08:43:26,822 - pyskl - INFO - Epoch [61][2800/3405] lr: 1.616e-02, eta: 22:03:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8025, top5_acc: 0.9663, loss_cls: 3.5376, loss: 3.5376 2023-12-24 08:43:52,018 - pyskl - INFO - Epoch [61][2900/3405] lr: 1.615e-02, eta: 22:03:23, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9637, loss_cls: 3.5694, loss: 3.5694 2023-12-24 08:44:17,323 - pyskl - INFO - Epoch [61][3000/3405] lr: 1.614e-02, eta: 22:02:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9644, loss_cls: 3.4794, loss: 3.4794 2023-12-24 08:44:42,475 - pyskl - INFO - Epoch [61][3100/3405] lr: 1.614e-02, eta: 22:02:28, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9625, loss_cls: 3.5369, loss: 3.5369 2023-12-24 08:45:07,979 - pyskl - INFO - Epoch [61][3200/3405] lr: 1.613e-02, eta: 22:02:01, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7769, top5_acc: 0.9619, loss_cls: 3.5942, loss: 3.5942 2023-12-24 08:45:33,301 - pyskl - INFO - Epoch [61][3300/3405] lr: 1.612e-02, eta: 22:01:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9656, loss_cls: 3.5256, loss: 3.5256 2023-12-24 08:45:58,233 - pyskl - INFO - Epoch [61][3400/3405] lr: 1.611e-02, eta: 22:01:06, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8194, top5_acc: 0.9700, loss_cls: 3.4828, loss: 3.4828 2023-12-24 08:46:00,117 - pyskl - INFO - Saving checkpoint at 61 epochs 2023-12-24 08:50:23,316 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 08:50:23,926 - pyskl - INFO - top1_acc 0.7908 top5_acc 0.9554 2023-12-24 08:50:23,931 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_57.pth was removed 2023-12-24 08:50:24,142 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_61.pth. 2023-12-24 08:50:24,143 - pyskl - INFO - Best top1_acc is 0.7908 at 61 epoch. 2023-12-24 08:50:24,168 - pyskl - INFO - Epoch(val) [61][3718] top1_acc: 0.7908, top5_acc: 0.9554 2023-12-24 08:51:16,553 - pyskl - INFO - Epoch [62][100/3405] lr: 1.611e-02, eta: 22:01:14, time: 0.524, data_time: 0.273, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9663, loss_cls: 3.4985, loss: 3.4985 2023-12-24 08:51:41,376 - pyskl - INFO - Epoch [62][200/3405] lr: 1.610e-02, eta: 22:00:46, time: 0.248, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9688, loss_cls: 3.5546, loss: 3.5546 2023-12-24 08:52:06,251 - pyskl - INFO - Epoch [62][300/3405] lr: 1.609e-02, eta: 22:00:18, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9669, loss_cls: 3.5184, loss: 3.5184 2023-12-24 08:52:31,090 - pyskl - INFO - Epoch [62][400/3405] lr: 1.608e-02, eta: 21:59:50, time: 0.248, data_time: 0.000, memory: 5236, top1_acc: 0.8263, top5_acc: 0.9800, loss_cls: 3.4352, loss: 3.4352 2023-12-24 08:52:56,186 - pyskl - INFO - Epoch [62][500/3405] lr: 1.608e-02, eta: 21:59:22, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9750, loss_cls: 3.4454, loss: 3.4454 2023-12-24 08:53:22,138 - pyskl - INFO - Epoch [62][600/3405] lr: 1.607e-02, eta: 21:58:56, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9669, loss_cls: 3.4921, loss: 3.4921 2023-12-24 08:53:47,460 - pyskl - INFO - Epoch [62][700/3405] lr: 1.606e-02, eta: 21:58:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8094, top5_acc: 0.9700, loss_cls: 3.5084, loss: 3.5084 2023-12-24 08:54:12,932 - pyskl - INFO - Epoch [62][800/3405] lr: 1.605e-02, eta: 21:58:01, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7931, top5_acc: 0.9750, loss_cls: 3.5091, loss: 3.5091 2023-12-24 08:54:38,463 - pyskl - INFO - Epoch [62][900/3405] lr: 1.605e-02, eta: 21:57:34, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8137, top5_acc: 0.9650, loss_cls: 3.4854, loss: 3.4854 2023-12-24 08:55:04,353 - pyskl - INFO - Epoch [62][1000/3405] lr: 1.604e-02, eta: 21:57:08, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9663, loss_cls: 3.5168, loss: 3.5168 2023-12-24 08:55:29,639 - pyskl - INFO - Epoch [62][1100/3405] lr: 1.603e-02, eta: 21:56:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8187, top5_acc: 0.9706, loss_cls: 3.4957, loss: 3.4957 2023-12-24 08:55:55,129 - pyskl - INFO - Epoch [62][1200/3405] lr: 1.602e-02, eta: 21:56:13, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9781, loss_cls: 3.4633, loss: 3.4633 2023-12-24 08:56:20,891 - pyskl - INFO - Epoch [62][1300/3405] lr: 1.602e-02, eta: 21:55:46, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8431, top5_acc: 0.9762, loss_cls: 3.4278, loss: 3.4278 2023-12-24 08:56:46,339 - pyskl - INFO - Epoch [62][1400/3405] lr: 1.601e-02, eta: 21:55:19, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9719, loss_cls: 3.5040, loss: 3.5040 2023-12-24 08:57:12,338 - pyskl - INFO - Epoch [62][1500/3405] lr: 1.600e-02, eta: 21:54:53, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9681, loss_cls: 3.5261, loss: 3.5261 2023-12-24 08:57:38,511 - pyskl - INFO - Epoch [62][1600/3405] lr: 1.600e-02, eta: 21:54:27, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9613, loss_cls: 3.5203, loss: 3.5203 2023-12-24 08:58:04,129 - pyskl - INFO - Epoch [62][1700/3405] lr: 1.599e-02, eta: 21:54:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9712, loss_cls: 3.4976, loss: 3.4976 2023-12-24 08:58:29,541 - pyskl - INFO - Epoch [62][1800/3405] lr: 1.598e-02, eta: 21:53:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9663, loss_cls: 3.4847, loss: 3.4847 2023-12-24 08:58:55,092 - pyskl - INFO - Epoch [62][1900/3405] lr: 1.597e-02, eta: 21:53:05, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9700, loss_cls: 3.5323, loss: 3.5323 2023-12-24 08:59:21,318 - pyskl - INFO - Epoch [62][2000/3405] lr: 1.597e-02, eta: 21:52:39, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.7981, top5_acc: 0.9644, loss_cls: 3.5285, loss: 3.5285 2023-12-24 08:59:47,850 - pyskl - INFO - Epoch [62][2100/3405] lr: 1.596e-02, eta: 21:52:14, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9681, loss_cls: 3.5016, loss: 3.5016 2023-12-24 09:00:13,839 - pyskl - INFO - Epoch [62][2200/3405] lr: 1.595e-02, eta: 21:51:47, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.7875, top5_acc: 0.9644, loss_cls: 3.5588, loss: 3.5588 2023-12-24 09:00:39,367 - pyskl - INFO - Epoch [62][2300/3405] lr: 1.594e-02, eta: 21:51:20, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9613, loss_cls: 3.5307, loss: 3.5307 2023-12-24 09:01:04,794 - pyskl - INFO - Epoch [62][2400/3405] lr: 1.594e-02, eta: 21:50:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9631, loss_cls: 3.5157, loss: 3.5157 2023-12-24 09:01:30,222 - pyskl - INFO - Epoch [62][2500/3405] lr: 1.593e-02, eta: 21:50:26, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9700, loss_cls: 3.5207, loss: 3.5207 2023-12-24 09:01:55,923 - pyskl - INFO - Epoch [62][2600/3405] lr: 1.592e-02, eta: 21:49:59, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9606, loss_cls: 3.5678, loss: 3.5678 2023-12-24 09:02:21,485 - pyskl - INFO - Epoch [62][2700/3405] lr: 1.591e-02, eta: 21:49:32, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9556, loss_cls: 3.5624, loss: 3.5624 2023-12-24 09:02:47,039 - pyskl - INFO - Epoch [62][2800/3405] lr: 1.591e-02, eta: 21:49:05, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9663, loss_cls: 3.5117, loss: 3.5117 2023-12-24 09:03:12,657 - pyskl - INFO - Epoch [62][2900/3405] lr: 1.590e-02, eta: 21:48:38, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8019, top5_acc: 0.9669, loss_cls: 3.5211, loss: 3.5211 2023-12-24 09:03:38,120 - pyskl - INFO - Epoch [62][3000/3405] lr: 1.589e-02, eta: 21:48:11, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7925, top5_acc: 0.9725, loss_cls: 3.5195, loss: 3.5195 2023-12-24 09:04:03,374 - pyskl - INFO - Epoch [62][3100/3405] lr: 1.588e-02, eta: 21:47:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8056, top5_acc: 0.9700, loss_cls: 3.5151, loss: 3.5151 2023-12-24 09:04:28,712 - pyskl - INFO - Epoch [62][3200/3405] lr: 1.588e-02, eta: 21:47:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8113, top5_acc: 0.9700, loss_cls: 3.5093, loss: 3.5093 2023-12-24 09:04:54,817 - pyskl - INFO - Epoch [62][3300/3405] lr: 1.587e-02, eta: 21:46:50, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.7925, top5_acc: 0.9669, loss_cls: 3.5173, loss: 3.5173 2023-12-24 09:05:21,053 - pyskl - INFO - Epoch [62][3400/3405] lr: 1.586e-02, eta: 21:46:24, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8044, top5_acc: 0.9606, loss_cls: 3.5159, loss: 3.5159 2023-12-24 09:05:23,099 - pyskl - INFO - Saving checkpoint at 62 epochs 2023-12-24 09:09:46,630 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 09:09:47,244 - pyskl - INFO - top1_acc 0.7983 top5_acc 0.9596 2023-12-24 09:09:47,256 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_61.pth was removed 2023-12-24 09:09:47,514 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_62.pth. 2023-12-24 09:09:47,516 - pyskl - INFO - Best top1_acc is 0.7983 at 62 epoch. 2023-12-24 09:09:47,541 - pyskl - INFO - Epoch(val) [62][3718] top1_acc: 0.7983, top5_acc: 0.9596 2023-12-24 09:10:39,814 - pyskl - INFO - Epoch [63][100/3405] lr: 1.585e-02, eta: 21:46:31, time: 0.523, data_time: 0.271, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9706, loss_cls: 3.5180, loss: 3.5180 2023-12-24 09:11:05,561 - pyskl - INFO - Epoch [63][200/3405] lr: 1.585e-02, eta: 21:46:05, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8156, top5_acc: 0.9706, loss_cls: 3.4747, loss: 3.4747 2023-12-24 09:11:31,573 - pyskl - INFO - Epoch [63][300/3405] lr: 1.584e-02, eta: 21:45:38, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9762, loss_cls: 3.4428, loss: 3.4428 2023-12-24 09:11:56,806 - pyskl - INFO - Epoch [63][400/3405] lr: 1.583e-02, eta: 21:45:11, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8275, top5_acc: 0.9631, loss_cls: 3.4565, loss: 3.4565 2023-12-24 09:12:22,046 - pyskl - INFO - Epoch [63][500/3405] lr: 1.582e-02, eta: 21:44:43, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9731, loss_cls: 3.4499, loss: 3.4499 2023-12-24 09:12:47,565 - pyskl - INFO - Epoch [63][600/3405] lr: 1.582e-02, eta: 21:44:16, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8194, top5_acc: 0.9756, loss_cls: 3.4861, loss: 3.4861 2023-12-24 09:13:12,960 - pyskl - INFO - Epoch [63][700/3405] lr: 1.581e-02, eta: 21:43:49, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8113, top5_acc: 0.9644, loss_cls: 3.4940, loss: 3.4940 2023-12-24 09:13:38,344 - pyskl - INFO - Epoch [63][800/3405] lr: 1.580e-02, eta: 21:43:22, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8231, top5_acc: 0.9681, loss_cls: 3.4567, loss: 3.4567 2023-12-24 09:14:03,806 - pyskl - INFO - Epoch [63][900/3405] lr: 1.579e-02, eta: 21:42:55, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9706, loss_cls: 3.4790, loss: 3.4790 2023-12-24 09:14:28,846 - pyskl - INFO - Epoch [63][1000/3405] lr: 1.579e-02, eta: 21:42:27, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8206, top5_acc: 0.9700, loss_cls: 3.4599, loss: 3.4599 2023-12-24 09:14:53,821 - pyskl - INFO - Epoch [63][1100/3405] lr: 1.578e-02, eta: 21:41:59, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8387, top5_acc: 0.9744, loss_cls: 3.4119, loss: 3.4119 2023-12-24 09:15:19,252 - pyskl - INFO - Epoch [63][1200/3405] lr: 1.577e-02, eta: 21:41:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9625, loss_cls: 3.4951, loss: 3.4951 2023-12-24 09:15:44,773 - pyskl - INFO - Epoch [63][1300/3405] lr: 1.577e-02, eta: 21:41:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9725, loss_cls: 3.5197, loss: 3.5197 2023-12-24 09:16:10,141 - pyskl - INFO - Epoch [63][1400/3405] lr: 1.576e-02, eta: 21:40:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7987, top5_acc: 0.9700, loss_cls: 3.4911, loss: 3.4911 2023-12-24 09:16:35,912 - pyskl - INFO - Epoch [63][1500/3405] lr: 1.575e-02, eta: 21:40:11, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9706, loss_cls: 3.4966, loss: 3.4966 2023-12-24 09:17:01,394 - pyskl - INFO - Epoch [63][1600/3405] lr: 1.574e-02, eta: 21:39:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8075, top5_acc: 0.9700, loss_cls: 3.5099, loss: 3.5099 2023-12-24 09:17:26,883 - pyskl - INFO - Epoch [63][1700/3405] lr: 1.574e-02, eta: 21:39:16, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7831, top5_acc: 0.9637, loss_cls: 3.5951, loss: 3.5951 2023-12-24 09:17:52,116 - pyskl - INFO - Epoch [63][1800/3405] lr: 1.573e-02, eta: 21:38:49, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9637, loss_cls: 3.5704, loss: 3.5704 2023-12-24 09:18:17,846 - pyskl - INFO - Epoch [63][1900/3405] lr: 1.572e-02, eta: 21:38:22, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8137, top5_acc: 0.9694, loss_cls: 3.4750, loss: 3.4750 2023-12-24 09:18:43,276 - pyskl - INFO - Epoch [63][2000/3405] lr: 1.571e-02, eta: 21:37:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8013, top5_acc: 0.9619, loss_cls: 3.5568, loss: 3.5568 2023-12-24 09:19:08,415 - pyskl - INFO - Epoch [63][2100/3405] lr: 1.571e-02, eta: 21:37:27, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7987, top5_acc: 0.9700, loss_cls: 3.4980, loss: 3.4980 2023-12-24 09:19:33,749 - pyskl - INFO - Epoch [63][2200/3405] lr: 1.570e-02, eta: 21:37:00, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9731, loss_cls: 3.4996, loss: 3.4996 2023-12-24 09:19:59,038 - pyskl - INFO - Epoch [63][2300/3405] lr: 1.569e-02, eta: 21:36:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9619, loss_cls: 3.5089, loss: 3.5089 2023-12-24 09:20:24,736 - pyskl - INFO - Epoch [63][2400/3405] lr: 1.568e-02, eta: 21:36:06, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9688, loss_cls: 3.5379, loss: 3.5379 2023-12-24 09:20:50,146 - pyskl - INFO - Epoch [63][2500/3405] lr: 1.568e-02, eta: 21:35:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8156, top5_acc: 0.9663, loss_cls: 3.4934, loss: 3.4934 2023-12-24 09:21:15,780 - pyskl - INFO - Epoch [63][2600/3405] lr: 1.567e-02, eta: 21:35:12, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9725, loss_cls: 3.4838, loss: 3.4838 2023-12-24 09:21:41,425 - pyskl - INFO - Epoch [63][2700/3405] lr: 1.566e-02, eta: 21:34:45, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7887, top5_acc: 0.9600, loss_cls: 3.5599, loss: 3.5599 2023-12-24 09:22:06,749 - pyskl - INFO - Epoch [63][2800/3405] lr: 1.565e-02, eta: 21:34:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8006, top5_acc: 0.9712, loss_cls: 3.5207, loss: 3.5207 2023-12-24 09:22:31,889 - pyskl - INFO - Epoch [63][2900/3405] lr: 1.565e-02, eta: 21:33:50, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9644, loss_cls: 3.5083, loss: 3.5083 2023-12-24 09:22:58,423 - pyskl - INFO - Epoch [63][3000/3405] lr: 1.564e-02, eta: 21:33:24, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9750, loss_cls: 3.5133, loss: 3.5133 2023-12-24 09:23:24,957 - pyskl - INFO - Epoch [63][3100/3405] lr: 1.563e-02, eta: 21:32:59, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8044, top5_acc: 0.9694, loss_cls: 3.5105, loss: 3.5105 2023-12-24 09:23:50,440 - pyskl - INFO - Epoch [63][3200/3405] lr: 1.562e-02, eta: 21:32:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9781, loss_cls: 3.4645, loss: 3.4645 2023-12-24 09:24:15,830 - pyskl - INFO - Epoch [63][3300/3405] lr: 1.562e-02, eta: 21:32:04, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9769, loss_cls: 3.4590, loss: 3.4590 2023-12-24 09:24:41,558 - pyskl - INFO - Epoch [63][3400/3405] lr: 1.561e-02, eta: 21:31:38, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9688, loss_cls: 3.5322, loss: 3.5322 2023-12-24 09:24:43,540 - pyskl - INFO - Saving checkpoint at 63 epochs 2023-12-24 09:29:08,027 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 09:29:08,647 - pyskl - INFO - top1_acc 0.7684 top5_acc 0.9499 2023-12-24 09:29:08,672 - pyskl - INFO - Epoch(val) [63][3718] top1_acc: 0.7684, top5_acc: 0.9499 2023-12-24 09:30:01,487 - pyskl - INFO - Epoch [64][100/3405] lr: 1.560e-02, eta: 21:31:45, time: 0.528, data_time: 0.278, memory: 5236, top1_acc: 0.8275, top5_acc: 0.9688, loss_cls: 3.4737, loss: 3.4737 2023-12-24 09:30:26,564 - pyskl - INFO - Epoch [64][200/3405] lr: 1.559e-02, eta: 21:31:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9769, loss_cls: 3.4529, loss: 3.4529 2023-12-24 09:30:51,655 - pyskl - INFO - Epoch [64][300/3405] lr: 1.559e-02, eta: 21:30:50, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9669, loss_cls: 3.4713, loss: 3.4713 2023-12-24 09:31:17,462 - pyskl - INFO - Epoch [64][400/3405] lr: 1.558e-02, eta: 21:30:23, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8263, top5_acc: 0.9731, loss_cls: 3.4491, loss: 3.4491 2023-12-24 09:31:42,629 - pyskl - INFO - Epoch [64][500/3405] lr: 1.557e-02, eta: 21:29:55, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8294, top5_acc: 0.9744, loss_cls: 3.4413, loss: 3.4413 2023-12-24 09:32:08,022 - pyskl - INFO - Epoch [64][600/3405] lr: 1.556e-02, eta: 21:29:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9712, loss_cls: 3.4203, loss: 3.4203 2023-12-24 09:32:33,330 - pyskl - INFO - Epoch [64][700/3405] lr: 1.556e-02, eta: 21:29:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8219, top5_acc: 0.9725, loss_cls: 3.4464, loss: 3.4464 2023-12-24 09:32:59,417 - pyskl - INFO - Epoch [64][800/3405] lr: 1.555e-02, eta: 21:28:35, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.7900, top5_acc: 0.9663, loss_cls: 3.5451, loss: 3.5451 2023-12-24 09:33:24,829 - pyskl - INFO - Epoch [64][900/3405] lr: 1.554e-02, eta: 21:28:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7987, top5_acc: 0.9688, loss_cls: 3.5334, loss: 3.5334 2023-12-24 09:33:50,432 - pyskl - INFO - Epoch [64][1000/3405] lr: 1.553e-02, eta: 21:27:40, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9606, loss_cls: 3.5208, loss: 3.5208 2023-12-24 09:34:15,907 - pyskl - INFO - Epoch [64][1100/3405] lr: 1.553e-02, eta: 21:27:13, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9694, loss_cls: 3.5140, loss: 3.5140 2023-12-24 09:34:41,557 - pyskl - INFO - Epoch [64][1200/3405] lr: 1.552e-02, eta: 21:26:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7975, top5_acc: 0.9656, loss_cls: 3.5407, loss: 3.5407 2023-12-24 09:35:07,027 - pyskl - INFO - Epoch [64][1300/3405] lr: 1.551e-02, eta: 21:26:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8000, top5_acc: 0.9606, loss_cls: 3.5314, loss: 3.5314 2023-12-24 09:35:32,487 - pyskl - INFO - Epoch [64][1400/3405] lr: 1.550e-02, eta: 21:25:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8137, top5_acc: 0.9700, loss_cls: 3.4732, loss: 3.4732 2023-12-24 09:35:58,188 - pyskl - INFO - Epoch [64][1500/3405] lr: 1.550e-02, eta: 21:25:25, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8119, top5_acc: 0.9706, loss_cls: 3.4834, loss: 3.4834 2023-12-24 09:36:23,972 - pyskl - INFO - Epoch [64][1600/3405] lr: 1.549e-02, eta: 21:24:59, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8019, top5_acc: 0.9631, loss_cls: 3.5331, loss: 3.5331 2023-12-24 09:36:49,441 - pyskl - INFO - Epoch [64][1700/3405] lr: 1.548e-02, eta: 21:24:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9775, loss_cls: 3.4750, loss: 3.4750 2023-12-24 09:37:14,778 - pyskl - INFO - Epoch [64][1800/3405] lr: 1.547e-02, eta: 21:24:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9650, loss_cls: 3.5263, loss: 3.5263 2023-12-24 09:37:40,460 - pyskl - INFO - Epoch [64][1900/3405] lr: 1.547e-02, eta: 21:23:37, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9706, loss_cls: 3.5000, loss: 3.5000 2023-12-24 09:38:05,609 - pyskl - INFO - Epoch [64][2000/3405] lr: 1.546e-02, eta: 21:23:10, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9663, loss_cls: 3.5111, loss: 3.5111 2023-12-24 09:38:30,868 - pyskl - INFO - Epoch [64][2100/3405] lr: 1.545e-02, eta: 21:22:42, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8056, top5_acc: 0.9650, loss_cls: 3.5144, loss: 3.5144 2023-12-24 09:38:56,422 - pyskl - INFO - Epoch [64][2200/3405] lr: 1.544e-02, eta: 21:22:15, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7919, top5_acc: 0.9694, loss_cls: 3.5259, loss: 3.5259 2023-12-24 09:39:21,895 - pyskl - INFO - Epoch [64][2300/3405] lr: 1.544e-02, eta: 21:21:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9637, loss_cls: 3.5392, loss: 3.5392 2023-12-24 09:39:47,348 - pyskl - INFO - Epoch [64][2400/3405] lr: 1.543e-02, eta: 21:21:21, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9681, loss_cls: 3.5014, loss: 3.5014 2023-12-24 09:40:12,952 - pyskl - INFO - Epoch [64][2500/3405] lr: 1.542e-02, eta: 21:20:54, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8137, top5_acc: 0.9738, loss_cls: 3.4802, loss: 3.4802 2023-12-24 09:40:38,187 - pyskl - INFO - Epoch [64][2600/3405] lr: 1.541e-02, eta: 21:20:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7987, top5_acc: 0.9644, loss_cls: 3.5405, loss: 3.5405 2023-12-24 09:41:03,749 - pyskl - INFO - Epoch [64][2700/3405] lr: 1.541e-02, eta: 21:20:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8225, top5_acc: 0.9731, loss_cls: 3.4714, loss: 3.4714 2023-12-24 09:41:29,342 - pyskl - INFO - Epoch [64][2800/3405] lr: 1.540e-02, eta: 21:19:33, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7869, top5_acc: 0.9656, loss_cls: 3.5499, loss: 3.5499 2023-12-24 09:41:54,773 - pyskl - INFO - Epoch [64][2900/3405] lr: 1.539e-02, eta: 21:19:06, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7944, top5_acc: 0.9606, loss_cls: 3.5355, loss: 3.5355 2023-12-24 09:42:20,167 - pyskl - INFO - Epoch [64][3000/3405] lr: 1.538e-02, eta: 21:18:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7919, top5_acc: 0.9569, loss_cls: 3.5598, loss: 3.5598 2023-12-24 09:42:45,559 - pyskl - INFO - Epoch [64][3100/3405] lr: 1.538e-02, eta: 21:18:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9744, loss_cls: 3.4825, loss: 3.4825 2023-12-24 09:43:10,854 - pyskl - INFO - Epoch [64][3200/3405] lr: 1.537e-02, eta: 21:17:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8187, top5_acc: 0.9750, loss_cls: 3.4679, loss: 3.4679 2023-12-24 09:43:36,038 - pyskl - INFO - Epoch [64][3300/3405] lr: 1.536e-02, eta: 21:17:17, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9719, loss_cls: 3.4839, loss: 3.4839 2023-12-24 09:44:01,365 - pyskl - INFO - Epoch [64][3400/3405] lr: 1.535e-02, eta: 21:16:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9712, loss_cls: 3.4636, loss: 3.4636 2023-12-24 09:44:03,419 - pyskl - INFO - Saving checkpoint at 64 epochs 2023-12-24 09:48:27,475 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 09:48:28,100 - pyskl - INFO - top1_acc 0.7777 top5_acc 0.9516 2023-12-24 09:48:28,126 - pyskl - INFO - Epoch(val) [64][3718] top1_acc: 0.7777, top5_acc: 0.9516 2023-12-24 09:49:22,067 - pyskl - INFO - Epoch [65][100/3405] lr: 1.535e-02, eta: 21:16:57, time: 0.539, data_time: 0.286, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9712, loss_cls: 3.5212, loss: 3.5212 2023-12-24 09:49:48,453 - pyskl - INFO - Epoch [65][200/3405] lr: 1.534e-02, eta: 21:16:32, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.8087, top5_acc: 0.9688, loss_cls: 3.4979, loss: 3.4979 2023-12-24 09:50:14,837 - pyskl - INFO - Epoch [65][300/3405] lr: 1.533e-02, eta: 21:16:06, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9719, loss_cls: 3.4724, loss: 3.4724 2023-12-24 09:50:40,549 - pyskl - INFO - Epoch [65][400/3405] lr: 1.532e-02, eta: 21:15:39, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9675, loss_cls: 3.4576, loss: 3.4576 2023-12-24 09:51:05,895 - pyskl - INFO - Epoch [65][500/3405] lr: 1.532e-02, eta: 21:15:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8206, top5_acc: 0.9625, loss_cls: 3.4662, loss: 3.4662 2023-12-24 09:51:31,857 - pyskl - INFO - Epoch [65][600/3405] lr: 1.531e-02, eta: 21:14:45, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8231, top5_acc: 0.9762, loss_cls: 3.4389, loss: 3.4389 2023-12-24 09:51:57,316 - pyskl - INFO - Epoch [65][700/3405] lr: 1.530e-02, eta: 21:14:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8331, top5_acc: 0.9769, loss_cls: 3.4141, loss: 3.4141 2023-12-24 09:52:22,825 - pyskl - INFO - Epoch [65][800/3405] lr: 1.529e-02, eta: 21:13:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9762, loss_cls: 3.4605, loss: 3.4605 2023-12-24 09:52:48,608 - pyskl - INFO - Epoch [65][900/3405] lr: 1.529e-02, eta: 21:13:24, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8294, top5_acc: 0.9719, loss_cls: 3.4357, loss: 3.4357 2023-12-24 09:53:13,856 - pyskl - INFO - Epoch [65][1000/3405] lr: 1.528e-02, eta: 21:12:57, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9712, loss_cls: 3.4591, loss: 3.4591 2023-12-24 09:53:38,968 - pyskl - INFO - Epoch [65][1100/3405] lr: 1.527e-02, eta: 21:12:29, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.7950, top5_acc: 0.9637, loss_cls: 3.5537, loss: 3.5537 2023-12-24 09:54:04,736 - pyskl - INFO - Epoch [65][1200/3405] lr: 1.526e-02, eta: 21:12:03, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9694, loss_cls: 3.4752, loss: 3.4752 2023-12-24 09:54:30,187 - pyskl - INFO - Epoch [65][1300/3405] lr: 1.526e-02, eta: 21:11:35, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8206, top5_acc: 0.9706, loss_cls: 3.4824, loss: 3.4824 2023-12-24 09:54:55,666 - pyskl - INFO - Epoch [65][1400/3405] lr: 1.525e-02, eta: 21:11:08, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8263, top5_acc: 0.9769, loss_cls: 3.4372, loss: 3.4372 2023-12-24 09:55:20,922 - pyskl - INFO - Epoch [65][1500/3405] lr: 1.524e-02, eta: 21:10:41, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8250, top5_acc: 0.9750, loss_cls: 3.4637, loss: 3.4637 2023-12-24 09:55:46,452 - pyskl - INFO - Epoch [65][1600/3405] lr: 1.523e-02, eta: 21:10:14, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9675, loss_cls: 3.5267, loss: 3.5267 2023-12-24 09:56:12,117 - pyskl - INFO - Epoch [65][1700/3405] lr: 1.523e-02, eta: 21:09:47, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8244, top5_acc: 0.9762, loss_cls: 3.4311, loss: 3.4311 2023-12-24 09:56:37,476 - pyskl - INFO - Epoch [65][1800/3405] lr: 1.522e-02, eta: 21:09:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8219, top5_acc: 0.9619, loss_cls: 3.4896, loss: 3.4896 2023-12-24 09:57:03,134 - pyskl - INFO - Epoch [65][1900/3405] lr: 1.521e-02, eta: 21:08:53, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9681, loss_cls: 3.4848, loss: 3.4848 2023-12-24 09:57:28,646 - pyskl - INFO - Epoch [65][2000/3405] lr: 1.520e-02, eta: 21:08:26, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8175, top5_acc: 0.9650, loss_cls: 3.5090, loss: 3.5090 2023-12-24 09:57:54,261 - pyskl - INFO - Epoch [65][2100/3405] lr: 1.520e-02, eta: 21:07:59, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.7987, top5_acc: 0.9719, loss_cls: 3.5040, loss: 3.5040 2023-12-24 09:58:19,727 - pyskl - INFO - Epoch [65][2200/3405] lr: 1.519e-02, eta: 21:07:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9775, loss_cls: 3.4746, loss: 3.4746 2023-12-24 09:58:45,144 - pyskl - INFO - Epoch [65][2300/3405] lr: 1.518e-02, eta: 21:07:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9663, loss_cls: 3.5051, loss: 3.5051 2023-12-24 09:59:11,311 - pyskl - INFO - Epoch [65][2400/3405] lr: 1.517e-02, eta: 21:06:39, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9675, loss_cls: 3.4654, loss: 3.4654 2023-12-24 09:59:37,535 - pyskl - INFO - Epoch [65][2500/3405] lr: 1.517e-02, eta: 21:06:12, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8025, top5_acc: 0.9675, loss_cls: 3.4955, loss: 3.4955 2023-12-24 10:00:02,976 - pyskl - INFO - Epoch [65][2600/3405] lr: 1.516e-02, eta: 21:05:45, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9712, loss_cls: 3.5008, loss: 3.5008 2023-12-24 10:00:28,740 - pyskl - INFO - Epoch [65][2700/3405] lr: 1.515e-02, eta: 21:05:19, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.7812, top5_acc: 0.9575, loss_cls: 3.5699, loss: 3.5699 2023-12-24 10:00:54,383 - pyskl - INFO - Epoch [65][2800/3405] lr: 1.514e-02, eta: 21:04:52, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9650, loss_cls: 3.4943, loss: 3.4943 2023-12-24 10:01:19,873 - pyskl - INFO - Epoch [65][2900/3405] lr: 1.514e-02, eta: 21:04:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8119, top5_acc: 0.9738, loss_cls: 3.4656, loss: 3.4656 2023-12-24 10:01:45,355 - pyskl - INFO - Epoch [65][3000/3405] lr: 1.513e-02, eta: 21:03:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9644, loss_cls: 3.5171, loss: 3.5171 2023-12-24 10:02:10,685 - pyskl - INFO - Epoch [65][3100/3405] lr: 1.512e-02, eta: 21:03:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7994, top5_acc: 0.9631, loss_cls: 3.5295, loss: 3.5295 2023-12-24 10:02:36,013 - pyskl - INFO - Epoch [65][3200/3405] lr: 1.511e-02, eta: 21:03:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.7931, top5_acc: 0.9537, loss_cls: 3.5704, loss: 3.5704 2023-12-24 10:03:01,387 - pyskl - INFO - Epoch [65][3300/3405] lr: 1.511e-02, eta: 21:02:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9712, loss_cls: 3.4793, loss: 3.4793 2023-12-24 10:03:26,880 - pyskl - INFO - Epoch [65][3400/3405] lr: 1.510e-02, eta: 21:02:09, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8094, top5_acc: 0.9663, loss_cls: 3.5073, loss: 3.5073 2023-12-24 10:03:28,835 - pyskl - INFO - Saving checkpoint at 65 epochs 2023-12-24 10:07:52,705 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 10:07:53,357 - pyskl - INFO - top1_acc 0.7471 top5_acc 0.9495 2023-12-24 10:07:53,383 - pyskl - INFO - Epoch(val) [65][3718] top1_acc: 0.7471, top5_acc: 0.9495 2023-12-24 10:08:46,731 - pyskl - INFO - Epoch [66][100/3405] lr: 1.509e-02, eta: 21:02:15, time: 0.533, data_time: 0.282, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9750, loss_cls: 3.4859, loss: 3.4859 2023-12-24 10:09:11,923 - pyskl - INFO - Epoch [66][200/3405] lr: 1.508e-02, eta: 21:01:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9762, loss_cls: 3.4419, loss: 3.4419 2023-12-24 10:09:37,246 - pyskl - INFO - Epoch [66][300/3405] lr: 1.508e-02, eta: 21:01:20, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9694, loss_cls: 3.4829, loss: 3.4829 2023-12-24 10:10:02,664 - pyskl - INFO - Epoch [66][400/3405] lr: 1.507e-02, eta: 21:00:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8175, top5_acc: 0.9644, loss_cls: 3.4715, loss: 3.4715 2023-12-24 10:10:28,020 - pyskl - INFO - Epoch [66][500/3405] lr: 1.506e-02, eta: 21:00:26, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8237, top5_acc: 0.9806, loss_cls: 3.4383, loss: 3.4383 2023-12-24 10:10:53,937 - pyskl - INFO - Epoch [66][600/3405] lr: 1.505e-02, eta: 21:00:00, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8156, top5_acc: 0.9694, loss_cls: 3.4566, loss: 3.4566 2023-12-24 10:11:18,977 - pyskl - INFO - Epoch [66][700/3405] lr: 1.505e-02, eta: 20:59:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9738, loss_cls: 3.4521, loss: 3.4521 2023-12-24 10:11:44,373 - pyskl - INFO - Epoch [66][800/3405] lr: 1.504e-02, eta: 20:59:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8219, top5_acc: 0.9738, loss_cls: 3.4449, loss: 3.4449 2023-12-24 10:12:10,002 - pyskl - INFO - Epoch [66][900/3405] lr: 1.503e-02, eta: 20:58:38, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9781, loss_cls: 3.4695, loss: 3.4695 2023-12-24 10:12:35,372 - pyskl - INFO - Epoch [66][1000/3405] lr: 1.502e-02, eta: 20:58:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8225, top5_acc: 0.9694, loss_cls: 3.4589, loss: 3.4589 2023-12-24 10:13:00,790 - pyskl - INFO - Epoch [66][1100/3405] lr: 1.502e-02, eta: 20:57:43, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9744, loss_cls: 3.4197, loss: 3.4197 2023-12-24 10:13:26,327 - pyskl - INFO - Epoch [66][1200/3405] lr: 1.501e-02, eta: 20:57:16, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8219, top5_acc: 0.9694, loss_cls: 3.4512, loss: 3.4512 2023-12-24 10:13:51,753 - pyskl - INFO - Epoch [66][1300/3405] lr: 1.500e-02, eta: 20:56:49, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9625, loss_cls: 3.5266, loss: 3.5266 2023-12-24 10:14:16,992 - pyskl - INFO - Epoch [66][1400/3405] lr: 1.499e-02, eta: 20:56:22, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9744, loss_cls: 3.4521, loss: 3.4521 2023-12-24 10:14:42,389 - pyskl - INFO - Epoch [66][1500/3405] lr: 1.499e-02, eta: 20:55:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8319, top5_acc: 0.9731, loss_cls: 3.4486, loss: 3.4486 2023-12-24 10:15:07,965 - pyskl - INFO - Epoch [66][1600/3405] lr: 1.498e-02, eta: 20:55:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9656, loss_cls: 3.5338, loss: 3.5338 2023-12-24 10:15:34,438 - pyskl - INFO - Epoch [66][1700/3405] lr: 1.497e-02, eta: 20:55:02, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9731, loss_cls: 3.4560, loss: 3.4560 2023-12-24 10:15:59,881 - pyskl - INFO - Epoch [66][1800/3405] lr: 1.496e-02, eta: 20:54:35, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9681, loss_cls: 3.5140, loss: 3.5140 2023-12-24 10:16:25,171 - pyskl - INFO - Epoch [66][1900/3405] lr: 1.496e-02, eta: 20:54:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8263, top5_acc: 0.9756, loss_cls: 3.4434, loss: 3.4434 2023-12-24 10:16:50,247 - pyskl - INFO - Epoch [66][2000/3405] lr: 1.495e-02, eta: 20:53:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9656, loss_cls: 3.5062, loss: 3.5062 2023-12-24 10:17:15,599 - pyskl - INFO - Epoch [66][2100/3405] lr: 1.494e-02, eta: 20:53:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7850, top5_acc: 0.9606, loss_cls: 3.5718, loss: 3.5718 2023-12-24 10:17:41,263 - pyskl - INFO - Epoch [66][2200/3405] lr: 1.493e-02, eta: 20:52:46, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8237, top5_acc: 0.9744, loss_cls: 3.4381, loss: 3.4381 2023-12-24 10:18:06,621 - pyskl - INFO - Epoch [66][2300/3405] lr: 1.493e-02, eta: 20:52:19, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9681, loss_cls: 3.4732, loss: 3.4732 2023-12-24 10:18:31,815 - pyskl - INFO - Epoch [66][2400/3405] lr: 1.492e-02, eta: 20:51:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9613, loss_cls: 3.5392, loss: 3.5392 2023-12-24 10:18:57,401 - pyskl - INFO - Epoch [66][2500/3405] lr: 1.491e-02, eta: 20:51:24, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8337, top5_acc: 0.9644, loss_cls: 3.4697, loss: 3.4697 2023-12-24 10:19:22,893 - pyskl - INFO - Epoch [66][2600/3405] lr: 1.490e-02, eta: 20:50:57, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8337, top5_acc: 0.9725, loss_cls: 3.4395, loss: 3.4395 2023-12-24 10:19:48,254 - pyskl - INFO - Epoch [66][2700/3405] lr: 1.490e-02, eta: 20:50:30, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9762, loss_cls: 3.4353, loss: 3.4353 2023-12-24 10:20:13,545 - pyskl - INFO - Epoch [66][2800/3405] lr: 1.489e-02, eta: 20:50:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9681, loss_cls: 3.5052, loss: 3.5052 2023-12-24 10:20:38,834 - pyskl - INFO - Epoch [66][2900/3405] lr: 1.488e-02, eta: 20:49:36, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9688, loss_cls: 3.4883, loss: 3.4883 2023-12-24 10:21:04,077 - pyskl - INFO - Epoch [66][3000/3405] lr: 1.487e-02, eta: 20:49:08, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8150, top5_acc: 0.9681, loss_cls: 3.4924, loss: 3.4924 2023-12-24 10:21:29,739 - pyskl - INFO - Epoch [66][3100/3405] lr: 1.487e-02, eta: 20:48:41, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8150, top5_acc: 0.9706, loss_cls: 3.4995, loss: 3.4995 2023-12-24 10:21:54,937 - pyskl - INFO - Epoch [66][3200/3405] lr: 1.486e-02, eta: 20:48:14, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9706, loss_cls: 3.4757, loss: 3.4757 2023-12-24 10:22:20,435 - pyskl - INFO - Epoch [66][3300/3405] lr: 1.485e-02, eta: 20:47:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8263, top5_acc: 0.9731, loss_cls: 3.4551, loss: 3.4551 2023-12-24 10:22:46,949 - pyskl - INFO - Epoch [66][3400/3405] lr: 1.484e-02, eta: 20:47:21, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8119, top5_acc: 0.9650, loss_cls: 3.5016, loss: 3.5016 2023-12-24 10:22:48,958 - pyskl - INFO - Saving checkpoint at 66 epochs 2023-12-24 10:27:13,040 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 10:27:13,695 - pyskl - INFO - top1_acc 0.7766 top5_acc 0.9526 2023-12-24 10:27:13,720 - pyskl - INFO - Epoch(val) [66][3718] top1_acc: 0.7766, top5_acc: 0.9526 2023-12-24 10:28:06,029 - pyskl - INFO - Epoch [67][100/3405] lr: 1.483e-02, eta: 20:47:25, time: 0.523, data_time: 0.270, memory: 5236, top1_acc: 0.8194, top5_acc: 0.9656, loss_cls: 3.4816, loss: 3.4816 2023-12-24 10:28:31,049 - pyskl - INFO - Epoch [67][200/3405] lr: 1.483e-02, eta: 20:46:58, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8231, top5_acc: 0.9663, loss_cls: 3.4585, loss: 3.4585 2023-12-24 10:28:55,891 - pyskl - INFO - Epoch [67][300/3405] lr: 1.482e-02, eta: 20:46:30, time: 0.248, data_time: 0.000, memory: 5236, top1_acc: 0.8319, top5_acc: 0.9700, loss_cls: 3.4589, loss: 3.4589 2023-12-24 10:29:20,753 - pyskl - INFO - Epoch [67][400/3405] lr: 1.481e-02, eta: 20:46:02, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8256, top5_acc: 0.9675, loss_cls: 3.4659, loss: 3.4659 2023-12-24 10:29:45,627 - pyskl - INFO - Epoch [67][500/3405] lr: 1.480e-02, eta: 20:45:34, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9731, loss_cls: 3.4269, loss: 3.4269 2023-12-24 10:30:11,282 - pyskl - INFO - Epoch [67][600/3405] lr: 1.480e-02, eta: 20:45:07, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8269, top5_acc: 0.9725, loss_cls: 3.4519, loss: 3.4519 2023-12-24 10:30:36,681 - pyskl - INFO - Epoch [67][700/3405] lr: 1.479e-02, eta: 20:44:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8300, top5_acc: 0.9750, loss_cls: 3.4250, loss: 3.4250 2023-12-24 10:31:02,191 - pyskl - INFO - Epoch [67][800/3405] lr: 1.478e-02, eta: 20:44:13, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9762, loss_cls: 3.4572, loss: 3.4572 2023-12-24 10:31:27,796 - pyskl - INFO - Epoch [67][900/3405] lr: 1.477e-02, eta: 20:43:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8000, top5_acc: 0.9625, loss_cls: 3.5335, loss: 3.5335 2023-12-24 10:31:53,387 - pyskl - INFO - Epoch [67][1000/3405] lr: 1.477e-02, eta: 20:43:19, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8044, top5_acc: 0.9675, loss_cls: 3.5175, loss: 3.5175 2023-12-24 10:32:18,946 - pyskl - INFO - Epoch [67][1100/3405] lr: 1.476e-02, eta: 20:42:52, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9700, loss_cls: 3.4805, loss: 3.4805 2023-12-24 10:32:44,512 - pyskl - INFO - Epoch [67][1200/3405] lr: 1.475e-02, eta: 20:42:26, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8175, top5_acc: 0.9681, loss_cls: 3.4782, loss: 3.4782 2023-12-24 10:33:10,589 - pyskl - INFO - Epoch [67][1300/3405] lr: 1.474e-02, eta: 20:41:59, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8044, top5_acc: 0.9738, loss_cls: 3.5008, loss: 3.5008 2023-12-24 10:33:36,385 - pyskl - INFO - Epoch [67][1400/3405] lr: 1.474e-02, eta: 20:41:33, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8300, top5_acc: 0.9694, loss_cls: 3.4572, loss: 3.4572 2023-12-24 10:34:02,032 - pyskl - INFO - Epoch [67][1500/3405] lr: 1.473e-02, eta: 20:41:06, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9738, loss_cls: 3.4613, loss: 3.4613 2023-12-24 10:34:27,565 - pyskl - INFO - Epoch [67][1600/3405] lr: 1.472e-02, eta: 20:40:39, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9694, loss_cls: 3.4446, loss: 3.4446 2023-12-24 10:34:53,029 - pyskl - INFO - Epoch [67][1700/3405] lr: 1.471e-02, eta: 20:40:12, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8206, top5_acc: 0.9663, loss_cls: 3.4898, loss: 3.4898 2023-12-24 10:35:19,173 - pyskl - INFO - Epoch [67][1800/3405] lr: 1.471e-02, eta: 20:39:45, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8194, top5_acc: 0.9719, loss_cls: 3.4846, loss: 3.4846 2023-12-24 10:35:44,778 - pyskl - INFO - Epoch [67][1900/3405] lr: 1.470e-02, eta: 20:39:19, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8000, top5_acc: 0.9650, loss_cls: 3.5199, loss: 3.5199 2023-12-24 10:36:10,113 - pyskl - INFO - Epoch [67][2000/3405] lr: 1.469e-02, eta: 20:38:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9675, loss_cls: 3.5004, loss: 3.5004 2023-12-24 10:36:35,485 - pyskl - INFO - Epoch [67][2100/3405] lr: 1.468e-02, eta: 20:38:24, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7956, top5_acc: 0.9663, loss_cls: 3.5336, loss: 3.5336 2023-12-24 10:37:00,769 - pyskl - INFO - Epoch [67][2200/3405] lr: 1.468e-02, eta: 20:37:57, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8219, top5_acc: 0.9712, loss_cls: 3.4445, loss: 3.4445 2023-12-24 10:37:26,095 - pyskl - INFO - Epoch [67][2300/3405] lr: 1.467e-02, eta: 20:37:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9675, loss_cls: 3.5165, loss: 3.5165 2023-12-24 10:37:51,315 - pyskl - INFO - Epoch [67][2400/3405] lr: 1.466e-02, eta: 20:37:02, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8187, top5_acc: 0.9619, loss_cls: 3.5017, loss: 3.5017 2023-12-24 10:38:16,660 - pyskl - INFO - Epoch [67][2500/3405] lr: 1.465e-02, eta: 20:36:35, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9694, loss_cls: 3.4808, loss: 3.4808 2023-12-24 10:38:42,000 - pyskl - INFO - Epoch [67][2600/3405] lr: 1.465e-02, eta: 20:36:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8087, top5_acc: 0.9725, loss_cls: 3.5049, loss: 3.5049 2023-12-24 10:39:07,219 - pyskl - INFO - Epoch [67][2700/3405] lr: 1.464e-02, eta: 20:35:41, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9719, loss_cls: 3.4380, loss: 3.4380 2023-12-24 10:39:32,642 - pyskl - INFO - Epoch [67][2800/3405] lr: 1.463e-02, eta: 20:35:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8219, top5_acc: 0.9800, loss_cls: 3.4546, loss: 3.4546 2023-12-24 10:39:57,937 - pyskl - INFO - Epoch [67][2900/3405] lr: 1.462e-02, eta: 20:34:46, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9731, loss_cls: 3.4793, loss: 3.4793 2023-12-24 10:40:23,498 - pyskl - INFO - Epoch [67][3000/3405] lr: 1.462e-02, eta: 20:34:19, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8194, top5_acc: 0.9613, loss_cls: 3.4850, loss: 3.4850 2023-12-24 10:40:48,865 - pyskl - INFO - Epoch [67][3100/3405] lr: 1.461e-02, eta: 20:33:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8063, top5_acc: 0.9681, loss_cls: 3.5186, loss: 3.5186 2023-12-24 10:41:14,435 - pyskl - INFO - Epoch [67][3200/3405] lr: 1.460e-02, eta: 20:33:25, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9719, loss_cls: 3.5029, loss: 3.5029 2023-12-24 10:41:39,987 - pyskl - INFO - Epoch [67][3300/3405] lr: 1.459e-02, eta: 20:32:58, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8231, top5_acc: 0.9681, loss_cls: 3.4769, loss: 3.4769 2023-12-24 10:42:05,514 - pyskl - INFO - Epoch [67][3400/3405] lr: 1.459e-02, eta: 20:32:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8175, top5_acc: 0.9706, loss_cls: 3.4819, loss: 3.4819 2023-12-24 10:42:07,524 - pyskl - INFO - Saving checkpoint at 67 epochs 2023-12-24 10:46:31,033 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 10:46:31,670 - pyskl - INFO - top1_acc 0.7574 top5_acc 0.9478 2023-12-24 10:46:31,695 - pyskl - INFO - Epoch(val) [67][3718] top1_acc: 0.7574, top5_acc: 0.9478 2023-12-24 10:47:24,467 - pyskl - INFO - Epoch [68][100/3405] lr: 1.458e-02, eta: 20:32:35, time: 0.528, data_time: 0.270, memory: 5236, top1_acc: 0.8231, top5_acc: 0.9756, loss_cls: 3.4596, loss: 3.4596 2023-12-24 10:47:49,742 - pyskl - INFO - Epoch [68][200/3405] lr: 1.457e-02, eta: 20:32:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9750, loss_cls: 3.4341, loss: 3.4341 2023-12-24 10:48:14,788 - pyskl - INFO - Epoch [68][300/3405] lr: 1.456e-02, eta: 20:31:40, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8113, top5_acc: 0.9719, loss_cls: 3.5005, loss: 3.5005 2023-12-24 10:48:39,931 - pyskl - INFO - Epoch [68][400/3405] lr: 1.455e-02, eta: 20:31:13, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8400, top5_acc: 0.9769, loss_cls: 3.4085, loss: 3.4085 2023-12-24 10:49:05,147 - pyskl - INFO - Epoch [68][500/3405] lr: 1.455e-02, eta: 20:30:45, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8244, top5_acc: 0.9644, loss_cls: 3.4650, loss: 3.4650 2023-12-24 10:49:31,124 - pyskl - INFO - Epoch [68][600/3405] lr: 1.454e-02, eta: 20:30:19, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8337, top5_acc: 0.9719, loss_cls: 3.4306, loss: 3.4306 2023-12-24 10:49:56,796 - pyskl - INFO - Epoch [68][700/3405] lr: 1.453e-02, eta: 20:29:52, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8387, top5_acc: 0.9712, loss_cls: 3.4384, loss: 3.4384 2023-12-24 10:50:22,320 - pyskl - INFO - Epoch [68][800/3405] lr: 1.452e-02, eta: 20:29:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8300, top5_acc: 0.9819, loss_cls: 3.4226, loss: 3.4226 2023-12-24 10:50:47,830 - pyskl - INFO - Epoch [68][900/3405] lr: 1.452e-02, eta: 20:28:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8275, top5_acc: 0.9762, loss_cls: 3.4154, loss: 3.4154 2023-12-24 10:51:13,498 - pyskl - INFO - Epoch [68][1000/3405] lr: 1.451e-02, eta: 20:28:31, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8175, top5_acc: 0.9663, loss_cls: 3.4513, loss: 3.4513 2023-12-24 10:51:39,134 - pyskl - INFO - Epoch [68][1100/3405] lr: 1.450e-02, eta: 20:28:05, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9694, loss_cls: 3.4689, loss: 3.4689 2023-12-24 10:52:04,622 - pyskl - INFO - Epoch [68][1200/3405] lr: 1.449e-02, eta: 20:27:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9706, loss_cls: 3.4583, loss: 3.4583 2023-12-24 10:52:30,388 - pyskl - INFO - Epoch [68][1300/3405] lr: 1.449e-02, eta: 20:27:11, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9675, loss_cls: 3.4692, loss: 3.4692 2023-12-24 10:52:57,010 - pyskl - INFO - Epoch [68][1400/3405] lr: 1.448e-02, eta: 20:26:45, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.8094, top5_acc: 0.9738, loss_cls: 3.4813, loss: 3.4813 2023-12-24 10:53:22,691 - pyskl - INFO - Epoch [68][1500/3405] lr: 1.447e-02, eta: 20:26:19, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9656, loss_cls: 3.5057, loss: 3.5057 2023-12-24 10:53:47,995 - pyskl - INFO - Epoch [68][1600/3405] lr: 1.446e-02, eta: 20:25:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8219, top5_acc: 0.9781, loss_cls: 3.4677, loss: 3.4677 2023-12-24 10:54:13,644 - pyskl - INFO - Epoch [68][1700/3405] lr: 1.446e-02, eta: 20:25:24, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8337, top5_acc: 0.9788, loss_cls: 3.4020, loss: 3.4020 2023-12-24 10:54:39,793 - pyskl - INFO - Epoch [68][1800/3405] lr: 1.445e-02, eta: 20:24:58, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9694, loss_cls: 3.4573, loss: 3.4573 2023-12-24 10:55:05,215 - pyskl - INFO - Epoch [68][1900/3405] lr: 1.444e-02, eta: 20:24:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8219, top5_acc: 0.9744, loss_cls: 3.4472, loss: 3.4472 2023-12-24 10:55:30,506 - pyskl - INFO - Epoch [68][2000/3405] lr: 1.443e-02, eta: 20:24:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8275, top5_acc: 0.9712, loss_cls: 3.4514, loss: 3.4514 2023-12-24 10:55:56,045 - pyskl - INFO - Epoch [68][2100/3405] lr: 1.443e-02, eta: 20:23:37, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9769, loss_cls: 3.4640, loss: 3.4640 2023-12-24 10:56:21,387 - pyskl - INFO - Epoch [68][2200/3405] lr: 1.442e-02, eta: 20:23:10, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9700, loss_cls: 3.4538, loss: 3.4538 2023-12-24 10:56:46,601 - pyskl - INFO - Epoch [68][2300/3405] lr: 1.441e-02, eta: 20:22:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9694, loss_cls: 3.4706, loss: 3.4706 2023-12-24 10:57:11,926 - pyskl - INFO - Epoch [68][2400/3405] lr: 1.440e-02, eta: 20:22:15, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8331, top5_acc: 0.9712, loss_cls: 3.4447, loss: 3.4447 2023-12-24 10:57:37,118 - pyskl - INFO - Epoch [68][2500/3405] lr: 1.439e-02, eta: 20:21:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8187, top5_acc: 0.9637, loss_cls: 3.4961, loss: 3.4961 2023-12-24 10:58:02,906 - pyskl - INFO - Epoch [68][2600/3405] lr: 1.439e-02, eta: 20:21:21, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8194, top5_acc: 0.9750, loss_cls: 3.4541, loss: 3.4541 2023-12-24 10:58:28,258 - pyskl - INFO - Epoch [68][2700/3405] lr: 1.438e-02, eta: 20:20:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9644, loss_cls: 3.4745, loss: 3.4745 2023-12-24 10:58:53,886 - pyskl - INFO - Epoch [68][2800/3405] lr: 1.437e-02, eta: 20:20:27, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8206, top5_acc: 0.9700, loss_cls: 3.4488, loss: 3.4488 2023-12-24 10:59:18,875 - pyskl - INFO - Epoch [68][2900/3405] lr: 1.436e-02, eta: 20:20:00, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8150, top5_acc: 0.9719, loss_cls: 3.4781, loss: 3.4781 2023-12-24 10:59:43,841 - pyskl - INFO - Epoch [68][3000/3405] lr: 1.436e-02, eta: 20:19:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9688, loss_cls: 3.4989, loss: 3.4989 2023-12-24 11:00:08,797 - pyskl - INFO - Epoch [68][3100/3405] lr: 1.435e-02, eta: 20:19:04, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8094, top5_acc: 0.9606, loss_cls: 3.5097, loss: 3.5097 2023-12-24 11:00:34,014 - pyskl - INFO - Epoch [68][3200/3405] lr: 1.434e-02, eta: 20:18:37, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9812, loss_cls: 3.4518, loss: 3.4518 2023-12-24 11:00:59,695 - pyskl - INFO - Epoch [68][3300/3405] lr: 1.433e-02, eta: 20:18:10, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9637, loss_cls: 3.5734, loss: 3.5734 2023-12-24 11:01:26,331 - pyskl - INFO - Epoch [68][3400/3405] lr: 1.433e-02, eta: 20:17:45, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9725, loss_cls: 3.4879, loss: 3.4879 2023-12-24 11:01:28,398 - pyskl - INFO - Saving checkpoint at 68 epochs 2023-12-24 11:05:51,686 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 11:05:52,304 - pyskl - INFO - top1_acc 0.7970 top5_acc 0.9585 2023-12-24 11:05:52,329 - pyskl - INFO - Epoch(val) [68][3718] top1_acc: 0.7970, top5_acc: 0.9585 2023-12-24 11:06:44,407 - pyskl - INFO - Epoch [69][100/3405] lr: 1.432e-02, eta: 20:17:47, time: 0.521, data_time: 0.271, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9756, loss_cls: 3.4343, loss: 3.4343 2023-12-24 11:07:09,705 - pyskl - INFO - Epoch [69][200/3405] lr: 1.431e-02, eta: 20:17:20, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8375, top5_acc: 0.9788, loss_cls: 3.3907, loss: 3.3907 2023-12-24 11:07:35,335 - pyskl - INFO - Epoch [69][300/3405] lr: 1.430e-02, eta: 20:16:53, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9731, loss_cls: 3.4370, loss: 3.4370 2023-12-24 11:08:01,023 - pyskl - INFO - Epoch [69][400/3405] lr: 1.430e-02, eta: 20:16:26, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9794, loss_cls: 3.4285, loss: 3.4285 2023-12-24 11:08:26,556 - pyskl - INFO - Epoch [69][500/3405] lr: 1.429e-02, eta: 20:15:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9744, loss_cls: 3.4382, loss: 3.4382 2023-12-24 11:08:52,216 - pyskl - INFO - Epoch [69][600/3405] lr: 1.428e-02, eta: 20:15:32, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8313, top5_acc: 0.9731, loss_cls: 3.4278, loss: 3.4278 2023-12-24 11:09:17,880 - pyskl - INFO - Epoch [69][700/3405] lr: 1.427e-02, eta: 20:15:06, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8094, top5_acc: 0.9631, loss_cls: 3.5071, loss: 3.5071 2023-12-24 11:09:43,556 - pyskl - INFO - Epoch [69][800/3405] lr: 1.427e-02, eta: 20:14:39, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9800, loss_cls: 3.4342, loss: 3.4342 2023-12-24 11:10:09,081 - pyskl - INFO - Epoch [69][900/3405] lr: 1.426e-02, eta: 20:14:12, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8337, top5_acc: 0.9700, loss_cls: 3.4438, loss: 3.4438 2023-12-24 11:10:34,670 - pyskl - INFO - Epoch [69][1000/3405] lr: 1.425e-02, eta: 20:13:45, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9719, loss_cls: 3.4865, loss: 3.4865 2023-12-24 11:11:00,348 - pyskl - INFO - Epoch [69][1100/3405] lr: 1.424e-02, eta: 20:13:18, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9750, loss_cls: 3.4751, loss: 3.4751 2023-12-24 11:11:25,702 - pyskl - INFO - Epoch [69][1200/3405] lr: 1.423e-02, eta: 20:12:51, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8256, top5_acc: 0.9700, loss_cls: 3.4411, loss: 3.4411 2023-12-24 11:11:51,440 - pyskl - INFO - Epoch [69][1300/3405] lr: 1.423e-02, eta: 20:12:24, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8300, top5_acc: 0.9756, loss_cls: 3.4279, loss: 3.4279 2023-12-24 11:12:16,932 - pyskl - INFO - Epoch [69][1400/3405] lr: 1.422e-02, eta: 20:11:57, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9756, loss_cls: 3.4525, loss: 3.4525 2023-12-24 11:12:42,374 - pyskl - INFO - Epoch [69][1500/3405] lr: 1.421e-02, eta: 20:11:30, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9762, loss_cls: 3.4568, loss: 3.4568 2023-12-24 11:13:07,704 - pyskl - INFO - Epoch [69][1600/3405] lr: 1.420e-02, eta: 20:11:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9806, loss_cls: 3.4138, loss: 3.4138 2023-12-24 11:13:33,333 - pyskl - INFO - Epoch [69][1700/3405] lr: 1.420e-02, eta: 20:10:36, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9712, loss_cls: 3.4833, loss: 3.4833 2023-12-24 11:13:58,689 - pyskl - INFO - Epoch [69][1800/3405] lr: 1.419e-02, eta: 20:10:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.7969, top5_acc: 0.9675, loss_cls: 3.5248, loss: 3.5248 2023-12-24 11:14:23,983 - pyskl - INFO - Epoch [69][1900/3405] lr: 1.418e-02, eta: 20:09:42, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9738, loss_cls: 3.4328, loss: 3.4328 2023-12-24 11:14:49,177 - pyskl - INFO - Epoch [69][2000/3405] lr: 1.417e-02, eta: 20:09:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9712, loss_cls: 3.4803, loss: 3.4803 2023-12-24 11:15:14,468 - pyskl - INFO - Epoch [69][2100/3405] lr: 1.417e-02, eta: 20:08:47, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8175, top5_acc: 0.9675, loss_cls: 3.4744, loss: 3.4744 2023-12-24 11:15:39,877 - pyskl - INFO - Epoch [69][2200/3405] lr: 1.416e-02, eta: 20:08:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9706, loss_cls: 3.4886, loss: 3.4886 2023-12-24 11:16:05,391 - pyskl - INFO - Epoch [69][2300/3405] lr: 1.415e-02, eta: 20:07:53, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8044, top5_acc: 0.9656, loss_cls: 3.5097, loss: 3.5097 2023-12-24 11:16:30,775 - pyskl - INFO - Epoch [69][2400/3405] lr: 1.414e-02, eta: 20:07:26, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8100, top5_acc: 0.9738, loss_cls: 3.4743, loss: 3.4743 2023-12-24 11:16:55,889 - pyskl - INFO - Epoch [69][2500/3405] lr: 1.414e-02, eta: 20:06:59, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9706, loss_cls: 3.4531, loss: 3.4531 2023-12-24 11:17:21,436 - pyskl - INFO - Epoch [69][2600/3405] lr: 1.413e-02, eta: 20:06:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8037, top5_acc: 0.9663, loss_cls: 3.5259, loss: 3.5259 2023-12-24 11:17:46,993 - pyskl - INFO - Epoch [69][2700/3405] lr: 1.412e-02, eta: 20:06:05, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9731, loss_cls: 3.4356, loss: 3.4356 2023-12-24 11:18:12,119 - pyskl - INFO - Epoch [69][2800/3405] lr: 1.411e-02, eta: 20:05:38, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8175, top5_acc: 0.9756, loss_cls: 3.4421, loss: 3.4421 2023-12-24 11:18:37,950 - pyskl - INFO - Epoch [69][2900/3405] lr: 1.411e-02, eta: 20:05:11, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8175, top5_acc: 0.9700, loss_cls: 3.4702, loss: 3.4702 2023-12-24 11:19:04,267 - pyskl - INFO - Epoch [69][3000/3405] lr: 1.410e-02, eta: 20:04:45, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.8019, top5_acc: 0.9631, loss_cls: 3.5576, loss: 3.5576 2023-12-24 11:19:30,839 - pyskl - INFO - Epoch [69][3100/3405] lr: 1.409e-02, eta: 20:04:19, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.8156, top5_acc: 0.9719, loss_cls: 3.4684, loss: 3.4684 2023-12-24 11:19:57,391 - pyskl - INFO - Epoch [69][3200/3405] lr: 1.408e-02, eta: 20:03:54, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.8237, top5_acc: 0.9756, loss_cls: 3.4222, loss: 3.4222 2023-12-24 11:20:23,961 - pyskl - INFO - Epoch [69][3300/3405] lr: 1.407e-02, eta: 20:03:28, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.8113, top5_acc: 0.9694, loss_cls: 3.4794, loss: 3.4794 2023-12-24 11:20:49,691 - pyskl - INFO - Epoch [69][3400/3405] lr: 1.407e-02, eta: 20:03:01, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.7913, top5_acc: 0.9625, loss_cls: 3.5288, loss: 3.5288 2023-12-24 11:20:51,730 - pyskl - INFO - Saving checkpoint at 69 epochs 2023-12-24 11:25:15,475 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 11:25:16,137 - pyskl - INFO - top1_acc 0.7936 top5_acc 0.9569 2023-12-24 11:25:16,163 - pyskl - INFO - Epoch(val) [69][3718] top1_acc: 0.7936, top5_acc: 0.9569 2023-12-24 11:26:08,863 - pyskl - INFO - Epoch [70][100/3405] lr: 1.406e-02, eta: 20:03:03, time: 0.527, data_time: 0.275, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9725, loss_cls: 3.4390, loss: 3.4390 2023-12-24 11:26:34,580 - pyskl - INFO - Epoch [70][200/3405] lr: 1.405e-02, eta: 20:02:36, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8406, top5_acc: 0.9712, loss_cls: 3.4132, loss: 3.4132 2023-12-24 11:26:59,705 - pyskl - INFO - Epoch [70][300/3405] lr: 1.404e-02, eta: 20:02:09, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8119, top5_acc: 0.9669, loss_cls: 3.4900, loss: 3.4900 2023-12-24 11:27:25,389 - pyskl - INFO - Epoch [70][400/3405] lr: 1.404e-02, eta: 20:01:42, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8263, top5_acc: 0.9712, loss_cls: 3.4511, loss: 3.4511 2023-12-24 11:27:50,806 - pyskl - INFO - Epoch [70][500/3405] lr: 1.403e-02, eta: 20:01:15, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8113, top5_acc: 0.9712, loss_cls: 3.4733, loss: 3.4733 2023-12-24 11:28:16,558 - pyskl - INFO - Epoch [70][600/3405] lr: 1.402e-02, eta: 20:00:49, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8137, top5_acc: 0.9675, loss_cls: 3.4791, loss: 3.4791 2023-12-24 11:28:42,041 - pyskl - INFO - Epoch [70][700/3405] lr: 1.401e-02, eta: 20:00:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8256, top5_acc: 0.9794, loss_cls: 3.4164, loss: 3.4164 2023-12-24 11:29:07,750 - pyskl - INFO - Epoch [70][800/3405] lr: 1.401e-02, eta: 19:59:55, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9725, loss_cls: 3.4668, loss: 3.4668 2023-12-24 11:29:33,732 - pyskl - INFO - Epoch [70][900/3405] lr: 1.400e-02, eta: 19:59:28, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8231, top5_acc: 0.9731, loss_cls: 3.4686, loss: 3.4686 2023-12-24 11:29:59,039 - pyskl - INFO - Epoch [70][1000/3405] lr: 1.399e-02, eta: 19:59:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9788, loss_cls: 3.4175, loss: 3.4175 2023-12-24 11:30:24,391 - pyskl - INFO - Epoch [70][1100/3405] lr: 1.398e-02, eta: 19:58:34, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8231, top5_acc: 0.9688, loss_cls: 3.4516, loss: 3.4516 2023-12-24 11:30:49,871 - pyskl - INFO - Epoch [70][1200/3405] lr: 1.398e-02, eta: 19:58:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9738, loss_cls: 3.4180, loss: 3.4180 2023-12-24 11:31:15,316 - pyskl - INFO - Epoch [70][1300/3405] lr: 1.397e-02, eta: 19:57:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9712, loss_cls: 3.4463, loss: 3.4463 2023-12-24 11:31:40,680 - pyskl - INFO - Epoch [70][1400/3405] lr: 1.396e-02, eta: 19:57:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8275, top5_acc: 0.9706, loss_cls: 3.4307, loss: 3.4307 2023-12-24 11:32:06,047 - pyskl - INFO - Epoch [70][1500/3405] lr: 1.395e-02, eta: 19:56:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9800, loss_cls: 3.4232, loss: 3.4232 2023-12-24 11:32:31,367 - pyskl - INFO - Epoch [70][1600/3405] lr: 1.394e-02, eta: 19:56:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8150, top5_acc: 0.9800, loss_cls: 3.4580, loss: 3.4580 2023-12-24 11:32:56,916 - pyskl - INFO - Epoch [70][1700/3405] lr: 1.394e-02, eta: 19:55:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9719, loss_cls: 3.4899, loss: 3.4899 2023-12-24 11:33:22,827 - pyskl - INFO - Epoch [70][1800/3405] lr: 1.393e-02, eta: 19:55:25, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9731, loss_cls: 3.4880, loss: 3.4880 2023-12-24 11:33:48,275 - pyskl - INFO - Epoch [70][1900/3405] lr: 1.392e-02, eta: 19:54:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8294, top5_acc: 0.9681, loss_cls: 3.4699, loss: 3.4699 2023-12-24 11:34:13,887 - pyskl - INFO - Epoch [70][2000/3405] lr: 1.391e-02, eta: 19:54:31, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8150, top5_acc: 0.9731, loss_cls: 3.4781, loss: 3.4781 2023-12-24 11:34:39,406 - pyskl - INFO - Epoch [70][2100/3405] lr: 1.391e-02, eta: 19:54:04, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9706, loss_cls: 3.4321, loss: 3.4321 2023-12-24 11:35:04,836 - pyskl - INFO - Epoch [70][2200/3405] lr: 1.390e-02, eta: 19:53:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8175, top5_acc: 0.9738, loss_cls: 3.4551, loss: 3.4551 2023-12-24 11:35:30,122 - pyskl - INFO - Epoch [70][2300/3405] lr: 1.389e-02, eta: 19:53:10, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8156, top5_acc: 0.9706, loss_cls: 3.4820, loss: 3.4820 2023-12-24 11:35:55,134 - pyskl - INFO - Epoch [70][2400/3405] lr: 1.388e-02, eta: 19:52:43, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9812, loss_cls: 3.4158, loss: 3.4158 2023-12-24 11:36:20,026 - pyskl - INFO - Epoch [70][2500/3405] lr: 1.388e-02, eta: 19:52:15, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8250, top5_acc: 0.9725, loss_cls: 3.4528, loss: 3.4528 2023-12-24 11:36:44,928 - pyskl - INFO - Epoch [70][2600/3405] lr: 1.387e-02, eta: 19:51:47, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8150, top5_acc: 0.9681, loss_cls: 3.4754, loss: 3.4754 2023-12-24 11:37:10,726 - pyskl - INFO - Epoch [70][2700/3405] lr: 1.386e-02, eta: 19:51:21, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8137, top5_acc: 0.9637, loss_cls: 3.4956, loss: 3.4956 2023-12-24 11:37:36,105 - pyskl - INFO - Epoch [70][2800/3405] lr: 1.385e-02, eta: 19:50:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8206, top5_acc: 0.9731, loss_cls: 3.4483, loss: 3.4483 2023-12-24 11:38:01,527 - pyskl - INFO - Epoch [70][2900/3405] lr: 1.385e-02, eta: 19:50:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9694, loss_cls: 3.4516, loss: 3.4516 2023-12-24 11:38:28,080 - pyskl - INFO - Epoch [70][3000/3405] lr: 1.384e-02, eta: 19:50:01, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.7963, top5_acc: 0.9663, loss_cls: 3.5230, loss: 3.5230 2023-12-24 11:38:53,396 - pyskl - INFO - Epoch [70][3100/3405] lr: 1.383e-02, eta: 19:49:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8344, top5_acc: 0.9725, loss_cls: 3.4619, loss: 3.4619 2023-12-24 11:39:19,587 - pyskl - INFO - Epoch [70][3200/3405] lr: 1.382e-02, eta: 19:49:08, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8206, top5_acc: 0.9756, loss_cls: 3.4277, loss: 3.4277 2023-12-24 11:39:44,817 - pyskl - INFO - Epoch [70][3300/3405] lr: 1.381e-02, eta: 19:48:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8094, top5_acc: 0.9700, loss_cls: 3.4781, loss: 3.4781 2023-12-24 11:40:10,145 - pyskl - INFO - Epoch [70][3400/3405] lr: 1.381e-02, eta: 19:48:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9594, loss_cls: 3.4962, loss: 3.4962 2023-12-24 11:40:12,199 - pyskl - INFO - Saving checkpoint at 70 epochs 2023-12-24 11:44:35,801 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 11:44:36,445 - pyskl - INFO - top1_acc 0.7868 top5_acc 0.9562 2023-12-24 11:44:36,477 - pyskl - INFO - Epoch(val) [70][3718] top1_acc: 0.7868, top5_acc: 0.9562 2023-12-24 11:45:29,302 - pyskl - INFO - Epoch [71][100/3405] lr: 1.380e-02, eta: 19:48:15, time: 0.528, data_time: 0.279, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9762, loss_cls: 3.4491, loss: 3.4491 2023-12-24 11:45:54,815 - pyskl - INFO - Epoch [71][200/3405] lr: 1.379e-02, eta: 19:47:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9719, loss_cls: 3.4232, loss: 3.4232 2023-12-24 11:46:21,229 - pyskl - INFO - Epoch [71][300/3405] lr: 1.378e-02, eta: 19:47:22, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.8512, top5_acc: 0.9812, loss_cls: 3.3747, loss: 3.3747 2023-12-24 11:46:46,657 - pyskl - INFO - Epoch [71][400/3405] lr: 1.378e-02, eta: 19:46:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9756, loss_cls: 3.4289, loss: 3.4289 2023-12-24 11:47:11,615 - pyskl - INFO - Epoch [71][500/3405] lr: 1.377e-02, eta: 19:46:27, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8350, top5_acc: 0.9750, loss_cls: 3.3996, loss: 3.3996 2023-12-24 11:47:36,994 - pyskl - INFO - Epoch [71][600/3405] lr: 1.376e-02, eta: 19:46:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8506, top5_acc: 0.9800, loss_cls: 3.3657, loss: 3.3657 2023-12-24 11:48:02,271 - pyskl - INFO - Epoch [71][700/3405] lr: 1.375e-02, eta: 19:45:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8325, top5_acc: 0.9675, loss_cls: 3.4544, loss: 3.4544 2023-12-24 11:48:27,338 - pyskl - INFO - Epoch [71][800/3405] lr: 1.375e-02, eta: 19:45:05, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8294, top5_acc: 0.9744, loss_cls: 3.4324, loss: 3.4324 2023-12-24 11:48:52,783 - pyskl - INFO - Epoch [71][900/3405] lr: 1.374e-02, eta: 19:44:38, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8219, top5_acc: 0.9738, loss_cls: 3.4670, loss: 3.4670 2023-12-24 11:49:18,255 - pyskl - INFO - Epoch [71][1000/3405] lr: 1.373e-02, eta: 19:44:11, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9731, loss_cls: 3.4252, loss: 3.4252 2023-12-24 11:49:43,627 - pyskl - INFO - Epoch [71][1100/3405] lr: 1.372e-02, eta: 19:43:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8313, top5_acc: 0.9794, loss_cls: 3.4171, loss: 3.4171 2023-12-24 11:50:08,905 - pyskl - INFO - Epoch [71][1200/3405] lr: 1.371e-02, eta: 19:43:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9694, loss_cls: 3.4887, loss: 3.4887 2023-12-24 11:50:34,399 - pyskl - INFO - Epoch [71][1300/3405] lr: 1.371e-02, eta: 19:42:50, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8194, top5_acc: 0.9731, loss_cls: 3.4669, loss: 3.4669 2023-12-24 11:50:59,819 - pyskl - INFO - Epoch [71][1400/3405] lr: 1.370e-02, eta: 19:42:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8075, top5_acc: 0.9694, loss_cls: 3.4945, loss: 3.4945 2023-12-24 11:51:25,459 - pyskl - INFO - Epoch [71][1500/3405] lr: 1.369e-02, eta: 19:41:56, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8206, top5_acc: 0.9700, loss_cls: 3.4508, loss: 3.4508 2023-12-24 11:51:50,850 - pyskl - INFO - Epoch [71][1600/3405] lr: 1.368e-02, eta: 19:41:29, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9725, loss_cls: 3.4825, loss: 3.4825 2023-12-24 11:52:16,233 - pyskl - INFO - Epoch [71][1700/3405] lr: 1.368e-02, eta: 19:41:02, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8269, top5_acc: 0.9744, loss_cls: 3.4320, loss: 3.4320 2023-12-24 11:52:42,406 - pyskl - INFO - Epoch [71][1800/3405] lr: 1.367e-02, eta: 19:40:36, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8344, top5_acc: 0.9769, loss_cls: 3.4234, loss: 3.4234 2023-12-24 11:53:08,130 - pyskl - INFO - Epoch [71][1900/3405] lr: 1.366e-02, eta: 19:40:09, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8319, top5_acc: 0.9675, loss_cls: 3.4379, loss: 3.4379 2023-12-24 11:53:33,320 - pyskl - INFO - Epoch [71][2000/3405] lr: 1.365e-02, eta: 19:39:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9794, loss_cls: 3.4042, loss: 3.4042 2023-12-24 11:53:58,541 - pyskl - INFO - Epoch [71][2100/3405] lr: 1.365e-02, eta: 19:39:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9644, loss_cls: 3.4953, loss: 3.4953 2023-12-24 11:54:23,763 - pyskl - INFO - Epoch [71][2200/3405] lr: 1.364e-02, eta: 19:38:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8256, top5_acc: 0.9650, loss_cls: 3.4550, loss: 3.4550 2023-12-24 11:54:49,048 - pyskl - INFO - Epoch [71][2300/3405] lr: 1.363e-02, eta: 19:38:20, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8244, top5_acc: 0.9744, loss_cls: 3.4511, loss: 3.4511 2023-12-24 11:55:15,261 - pyskl - INFO - Epoch [71][2400/3405] lr: 1.362e-02, eta: 19:37:54, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9706, loss_cls: 3.4516, loss: 3.4516 2023-12-24 11:55:40,289 - pyskl - INFO - Epoch [71][2500/3405] lr: 1.362e-02, eta: 19:37:27, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9744, loss_cls: 3.4394, loss: 3.4394 2023-12-24 11:56:05,240 - pyskl - INFO - Epoch [71][2600/3405] lr: 1.361e-02, eta: 19:36:59, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8125, top5_acc: 0.9694, loss_cls: 3.5009, loss: 3.5009 2023-12-24 11:56:30,575 - pyskl - INFO - Epoch [71][2700/3405] lr: 1.360e-02, eta: 19:36:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8350, top5_acc: 0.9794, loss_cls: 3.4112, loss: 3.4112 2023-12-24 11:56:55,845 - pyskl - INFO - Epoch [71][2800/3405] lr: 1.359e-02, eta: 19:36:05, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9694, loss_cls: 3.4323, loss: 3.4323 2023-12-24 11:57:21,188 - pyskl - INFO - Epoch [71][2900/3405] lr: 1.358e-02, eta: 19:35:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9825, loss_cls: 3.3982, loss: 3.3982 2023-12-24 11:57:46,449 - pyskl - INFO - Epoch [71][3000/3405] lr: 1.358e-02, eta: 19:35:11, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9694, loss_cls: 3.4787, loss: 3.4787 2023-12-24 11:58:12,134 - pyskl - INFO - Epoch [71][3100/3405] lr: 1.357e-02, eta: 19:34:44, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8187, top5_acc: 0.9694, loss_cls: 3.4627, loss: 3.4627 2023-12-24 11:58:37,341 - pyskl - INFO - Epoch [71][3200/3405] lr: 1.356e-02, eta: 19:34:17, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8538, top5_acc: 0.9788, loss_cls: 3.3919, loss: 3.3919 2023-12-24 11:59:02,671 - pyskl - INFO - Epoch [71][3300/3405] lr: 1.355e-02, eta: 19:33:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9706, loss_cls: 3.4736, loss: 3.4736 2023-12-24 11:59:28,731 - pyskl - INFO - Epoch [71][3400/3405] lr: 1.355e-02, eta: 19:33:23, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8131, top5_acc: 0.9731, loss_cls: 3.4632, loss: 3.4632 2023-12-24 11:59:30,887 - pyskl - INFO - Saving checkpoint at 71 epochs 2023-12-24 12:03:55,236 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 12:03:55,880 - pyskl - INFO - top1_acc 0.7928 top5_acc 0.9580 2023-12-24 12:03:55,908 - pyskl - INFO - Epoch(val) [71][3718] top1_acc: 0.7928, top5_acc: 0.9580 2023-12-24 12:04:49,290 - pyskl - INFO - Epoch [72][100/3405] lr: 1.354e-02, eta: 19:33:25, time: 0.534, data_time: 0.283, memory: 5236, top1_acc: 0.8450, top5_acc: 0.9775, loss_cls: 3.3958, loss: 3.3958 2023-12-24 12:05:14,467 - pyskl - INFO - Epoch [72][200/3405] lr: 1.353e-02, eta: 19:32:57, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8244, top5_acc: 0.9775, loss_cls: 3.4369, loss: 3.4369 2023-12-24 12:05:39,670 - pyskl - INFO - Epoch [72][300/3405] lr: 1.352e-02, eta: 19:32:30, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9788, loss_cls: 3.3898, loss: 3.3898 2023-12-24 12:06:04,853 - pyskl - INFO - Epoch [72][400/3405] lr: 1.352e-02, eta: 19:32:03, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8562, top5_acc: 0.9725, loss_cls: 3.3742, loss: 3.3742 2023-12-24 12:06:30,073 - pyskl - INFO - Epoch [72][500/3405] lr: 1.351e-02, eta: 19:31:35, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8275, top5_acc: 0.9744, loss_cls: 3.4302, loss: 3.4302 2023-12-24 12:06:55,593 - pyskl - INFO - Epoch [72][600/3405] lr: 1.350e-02, eta: 19:31:09, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8256, top5_acc: 0.9744, loss_cls: 3.4313, loss: 3.4313 2023-12-24 12:07:20,987 - pyskl - INFO - Epoch [72][700/3405] lr: 1.349e-02, eta: 19:30:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8225, top5_acc: 0.9744, loss_cls: 3.4520, loss: 3.4520 2023-12-24 12:07:46,124 - pyskl - INFO - Epoch [72][800/3405] lr: 1.348e-02, eta: 19:30:14, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8350, top5_acc: 0.9750, loss_cls: 3.4311, loss: 3.4311 2023-12-24 12:08:11,680 - pyskl - INFO - Epoch [72][900/3405] lr: 1.348e-02, eta: 19:29:47, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8431, top5_acc: 0.9700, loss_cls: 3.4283, loss: 3.4283 2023-12-24 12:08:37,298 - pyskl - INFO - Epoch [72][1000/3405] lr: 1.347e-02, eta: 19:29:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8400, top5_acc: 0.9738, loss_cls: 3.4059, loss: 3.4059 2023-12-24 12:09:02,756 - pyskl - INFO - Epoch [72][1100/3405] lr: 1.346e-02, eta: 19:28:54, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8256, top5_acc: 0.9725, loss_cls: 3.4652, loss: 3.4652 2023-12-24 12:09:28,407 - pyskl - INFO - Epoch [72][1200/3405] lr: 1.345e-02, eta: 19:28:27, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8269, top5_acc: 0.9719, loss_cls: 3.4431, loss: 3.4431 2023-12-24 12:09:54,003 - pyskl - INFO - Epoch [72][1300/3405] lr: 1.345e-02, eta: 19:28:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8263, top5_acc: 0.9781, loss_cls: 3.4214, loss: 3.4214 2023-12-24 12:10:19,808 - pyskl - INFO - Epoch [72][1400/3405] lr: 1.344e-02, eta: 19:27:33, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8031, top5_acc: 0.9663, loss_cls: 3.4856, loss: 3.4856 2023-12-24 12:10:45,268 - pyskl - INFO - Epoch [72][1500/3405] lr: 1.343e-02, eta: 19:27:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8156, top5_acc: 0.9756, loss_cls: 3.4378, loss: 3.4378 2023-12-24 12:11:10,837 - pyskl - INFO - Epoch [72][1600/3405] lr: 1.342e-02, eta: 19:26:40, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8300, top5_acc: 0.9731, loss_cls: 3.4424, loss: 3.4424 2023-12-24 12:11:36,332 - pyskl - INFO - Epoch [72][1700/3405] lr: 1.342e-02, eta: 19:26:13, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9781, loss_cls: 3.3813, loss: 3.3813 2023-12-24 12:12:01,858 - pyskl - INFO - Epoch [72][1800/3405] lr: 1.341e-02, eta: 19:25:46, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8194, top5_acc: 0.9712, loss_cls: 3.4720, loss: 3.4720 2023-12-24 12:12:27,380 - pyskl - INFO - Epoch [72][1900/3405] lr: 1.340e-02, eta: 19:25:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8006, top5_acc: 0.9644, loss_cls: 3.5152, loss: 3.5152 2023-12-24 12:12:52,905 - pyskl - INFO - Epoch [72][2000/3405] lr: 1.339e-02, eta: 19:24:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9719, loss_cls: 3.4496, loss: 3.4496 2023-12-24 12:13:18,043 - pyskl - INFO - Epoch [72][2100/3405] lr: 1.339e-02, eta: 19:24:25, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9712, loss_cls: 3.4529, loss: 3.4529 2023-12-24 12:13:43,412 - pyskl - INFO - Epoch [72][2200/3405] lr: 1.338e-02, eta: 19:23:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8300, top5_acc: 0.9762, loss_cls: 3.4365, loss: 3.4365 2023-12-24 12:14:08,355 - pyskl - INFO - Epoch [72][2300/3405] lr: 1.337e-02, eta: 19:23:30, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8194, top5_acc: 0.9694, loss_cls: 3.4627, loss: 3.4627 2023-12-24 12:14:33,513 - pyskl - INFO - Epoch [72][2400/3405] lr: 1.336e-02, eta: 19:23:03, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8006, top5_acc: 0.9675, loss_cls: 3.4954, loss: 3.4954 2023-12-24 12:14:59,205 - pyskl - INFO - Epoch [72][2500/3405] lr: 1.335e-02, eta: 19:22:36, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9694, loss_cls: 3.4272, loss: 3.4272 2023-12-24 12:15:24,297 - pyskl - INFO - Epoch [72][2600/3405] lr: 1.335e-02, eta: 19:22:09, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8256, top5_acc: 0.9712, loss_cls: 3.4460, loss: 3.4460 2023-12-24 12:15:49,364 - pyskl - INFO - Epoch [72][2700/3405] lr: 1.334e-02, eta: 19:21:41, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8319, top5_acc: 0.9706, loss_cls: 3.4378, loss: 3.4378 2023-12-24 12:16:15,001 - pyskl - INFO - Epoch [72][2800/3405] lr: 1.333e-02, eta: 19:21:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8256, top5_acc: 0.9794, loss_cls: 3.4248, loss: 3.4248 2023-12-24 12:16:40,431 - pyskl - INFO - Epoch [72][2900/3405] lr: 1.332e-02, eta: 19:20:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8075, top5_acc: 0.9694, loss_cls: 3.4954, loss: 3.4954 2023-12-24 12:17:05,437 - pyskl - INFO - Epoch [72][3000/3405] lr: 1.332e-02, eta: 19:20:20, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9750, loss_cls: 3.4441, loss: 3.4441 2023-12-24 12:17:30,393 - pyskl - INFO - Epoch [72][3100/3405] lr: 1.331e-02, eta: 19:19:53, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8300, top5_acc: 0.9725, loss_cls: 3.4299, loss: 3.4299 2023-12-24 12:17:55,361 - pyskl - INFO - Epoch [72][3200/3405] lr: 1.330e-02, eta: 19:19:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8206, top5_acc: 0.9769, loss_cls: 3.4452, loss: 3.4452 2023-12-24 12:18:20,656 - pyskl - INFO - Epoch [72][3300/3405] lr: 1.329e-02, eta: 19:18:58, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8175, top5_acc: 0.9694, loss_cls: 3.4666, loss: 3.4666 2023-12-24 12:18:46,954 - pyskl - INFO - Epoch [72][3400/3405] lr: 1.329e-02, eta: 19:18:32, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.8325, top5_acc: 0.9762, loss_cls: 3.4254, loss: 3.4254 2023-12-24 12:18:48,842 - pyskl - INFO - Saving checkpoint at 72 epochs 2023-12-24 12:23:12,414 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 12:23:13,025 - pyskl - INFO - top1_acc 0.7928 top5_acc 0.9577 2023-12-24 12:23:13,050 - pyskl - INFO - Epoch(val) [72][3718] top1_acc: 0.7928, top5_acc: 0.9577 2023-12-24 12:24:06,641 - pyskl - INFO - Epoch [73][100/3405] lr: 1.328e-02, eta: 19:18:33, time: 0.536, data_time: 0.282, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9756, loss_cls: 3.3937, loss: 3.3937 2023-12-24 12:24:31,609 - pyskl - INFO - Epoch [73][200/3405] lr: 1.327e-02, eta: 19:18:05, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8413, top5_acc: 0.9806, loss_cls: 3.3823, loss: 3.3823 2023-12-24 12:24:56,868 - pyskl - INFO - Epoch [73][300/3405] lr: 1.326e-02, eta: 19:17:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8187, top5_acc: 0.9762, loss_cls: 3.4448, loss: 3.4448 2023-12-24 12:25:22,230 - pyskl - INFO - Epoch [73][400/3405] lr: 1.325e-02, eta: 19:17:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8331, top5_acc: 0.9781, loss_cls: 3.4127, loss: 3.4127 2023-12-24 12:25:47,444 - pyskl - INFO - Epoch [73][500/3405] lr: 1.325e-02, eta: 19:16:44, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8481, top5_acc: 0.9712, loss_cls: 3.3778, loss: 3.3778 2023-12-24 12:26:12,863 - pyskl - INFO - Epoch [73][600/3405] lr: 1.324e-02, eta: 19:16:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9775, loss_cls: 3.4307, loss: 3.4307 2023-12-24 12:26:38,191 - pyskl - INFO - Epoch [73][700/3405] lr: 1.323e-02, eta: 19:15:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8387, top5_acc: 0.9744, loss_cls: 3.4152, loss: 3.4152 2023-12-24 12:27:03,616 - pyskl - INFO - Epoch [73][800/3405] lr: 1.322e-02, eta: 19:15:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8494, top5_acc: 0.9731, loss_cls: 3.4099, loss: 3.4099 2023-12-24 12:27:29,104 - pyskl - INFO - Epoch [73][900/3405] lr: 1.322e-02, eta: 19:14:56, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9781, loss_cls: 3.4176, loss: 3.4176 2023-12-24 12:27:54,720 - pyskl - INFO - Epoch [73][1000/3405] lr: 1.321e-02, eta: 19:14:29, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9762, loss_cls: 3.4337, loss: 3.4337 2023-12-24 12:28:20,409 - pyskl - INFO - Epoch [73][1100/3405] lr: 1.320e-02, eta: 19:14:02, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8462, top5_acc: 0.9681, loss_cls: 3.4127, loss: 3.4127 2023-12-24 12:28:45,908 - pyskl - INFO - Epoch [73][1200/3405] lr: 1.319e-02, eta: 19:13:35, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8387, top5_acc: 0.9744, loss_cls: 3.4080, loss: 3.4080 2023-12-24 12:29:11,809 - pyskl - INFO - Epoch [73][1300/3405] lr: 1.319e-02, eta: 19:13:09, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9756, loss_cls: 3.3952, loss: 3.3952 2023-12-24 12:29:37,453 - pyskl - INFO - Epoch [73][1400/3405] lr: 1.318e-02, eta: 19:12:42, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8313, top5_acc: 0.9681, loss_cls: 3.4613, loss: 3.4613 2023-12-24 12:30:03,780 - pyskl - INFO - Epoch [73][1500/3405] lr: 1.317e-02, eta: 19:12:16, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9738, loss_cls: 3.4222, loss: 3.4222 2023-12-24 12:30:29,113 - pyskl - INFO - Epoch [73][1600/3405] lr: 1.316e-02, eta: 19:11:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9700, loss_cls: 3.4418, loss: 3.4418 2023-12-24 12:30:54,590 - pyskl - INFO - Epoch [73][1700/3405] lr: 1.315e-02, eta: 19:11:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8506, top5_acc: 0.9744, loss_cls: 3.4021, loss: 3.4021 2023-12-24 12:31:20,101 - pyskl - INFO - Epoch [73][1800/3405] lr: 1.315e-02, eta: 19:10:55, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8225, top5_acc: 0.9706, loss_cls: 3.4317, loss: 3.4317 2023-12-24 12:31:45,465 - pyskl - INFO - Epoch [73][1900/3405] lr: 1.314e-02, eta: 19:10:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9750, loss_cls: 3.4317, loss: 3.4317 2023-12-24 12:32:10,921 - pyskl - INFO - Epoch [73][2000/3405] lr: 1.313e-02, eta: 19:10:01, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8337, top5_acc: 0.9750, loss_cls: 3.4219, loss: 3.4219 2023-12-24 12:32:35,995 - pyskl - INFO - Epoch [73][2100/3405] lr: 1.312e-02, eta: 19:09:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8113, top5_acc: 0.9744, loss_cls: 3.4778, loss: 3.4778 2023-12-24 12:33:01,173 - pyskl - INFO - Epoch [73][2200/3405] lr: 1.312e-02, eta: 19:09:07, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9681, loss_cls: 3.4657, loss: 3.4657 2023-12-24 12:33:26,266 - pyskl - INFO - Epoch [73][2300/3405] lr: 1.311e-02, eta: 19:08:39, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8163, top5_acc: 0.9650, loss_cls: 3.4757, loss: 3.4757 2023-12-24 12:33:51,441 - pyskl - INFO - Epoch [73][2400/3405] lr: 1.310e-02, eta: 19:08:12, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9669, loss_cls: 3.5042, loss: 3.5042 2023-12-24 12:34:16,821 - pyskl - INFO - Epoch [73][2500/3405] lr: 1.309e-02, eta: 19:07:45, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8325, top5_acc: 0.9738, loss_cls: 3.4537, loss: 3.4537 2023-12-24 12:34:42,139 - pyskl - INFO - Epoch [73][2600/3405] lr: 1.309e-02, eta: 19:07:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8313, top5_acc: 0.9731, loss_cls: 3.4384, loss: 3.4384 2023-12-24 12:35:07,136 - pyskl - INFO - Epoch [73][2700/3405] lr: 1.308e-02, eta: 19:06:50, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8337, top5_acc: 0.9694, loss_cls: 3.4474, loss: 3.4474 2023-12-24 12:35:32,611 - pyskl - INFO - Epoch [73][2800/3405] lr: 1.307e-02, eta: 19:06:24, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9769, loss_cls: 3.4137, loss: 3.4137 2023-12-24 12:35:58,003 - pyskl - INFO - Epoch [73][2900/3405] lr: 1.306e-02, eta: 19:05:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9769, loss_cls: 3.4209, loss: 3.4209 2023-12-24 12:36:23,281 - pyskl - INFO - Epoch [73][3000/3405] lr: 1.305e-02, eta: 19:05:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9719, loss_cls: 3.4393, loss: 3.4393 2023-12-24 12:36:48,219 - pyskl - INFO - Epoch [73][3100/3405] lr: 1.305e-02, eta: 19:05:02, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9663, loss_cls: 3.4703, loss: 3.4703 2023-12-24 12:37:13,184 - pyskl - INFO - Epoch [73][3200/3405] lr: 1.304e-02, eta: 19:04:34, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9738, loss_cls: 3.4060, loss: 3.4060 2023-12-24 12:37:38,143 - pyskl - INFO - Epoch [73][3300/3405] lr: 1.303e-02, eta: 19:04:07, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9762, loss_cls: 3.3905, loss: 3.3905 2023-12-24 12:38:03,083 - pyskl - INFO - Epoch [73][3400/3405] lr: 1.302e-02, eta: 19:03:40, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8325, top5_acc: 0.9762, loss_cls: 3.4218, loss: 3.4218 2023-12-24 12:38:04,976 - pyskl - INFO - Saving checkpoint at 73 epochs 2023-12-24 12:42:29,441 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 12:42:30,103 - pyskl - INFO - top1_acc 0.8064 top5_acc 0.9619 2023-12-24 12:42:30,108 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_62.pth was removed 2023-12-24 12:42:30,316 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_73.pth. 2023-12-24 12:42:30,318 - pyskl - INFO - Best top1_acc is 0.8064 at 73 epoch. 2023-12-24 12:42:30,342 - pyskl - INFO - Epoch(val) [73][3718] top1_acc: 0.8064, top5_acc: 0.9619 2023-12-24 12:43:23,987 - pyskl - INFO - Epoch [74][100/3405] lr: 1.302e-02, eta: 19:03:40, time: 0.536, data_time: 0.282, memory: 5236, top1_acc: 0.8469, top5_acc: 0.9800, loss_cls: 3.3701, loss: 3.3701 2023-12-24 12:43:49,262 - pyskl - INFO - Epoch [74][200/3405] lr: 1.301e-02, eta: 19:03:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8431, top5_acc: 0.9806, loss_cls: 3.3829, loss: 3.3829 2023-12-24 12:44:14,407 - pyskl - INFO - Epoch [74][300/3405] lr: 1.300e-02, eta: 19:02:45, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9744, loss_cls: 3.3968, loss: 3.3968 2023-12-24 12:44:39,600 - pyskl - INFO - Epoch [74][400/3405] lr: 1.299e-02, eta: 19:02:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8494, top5_acc: 0.9800, loss_cls: 3.3718, loss: 3.3718 2023-12-24 12:45:04,904 - pyskl - INFO - Epoch [74][500/3405] lr: 1.299e-02, eta: 19:01:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8387, top5_acc: 0.9806, loss_cls: 3.4034, loss: 3.4034 2023-12-24 12:45:30,365 - pyskl - INFO - Epoch [74][600/3405] lr: 1.298e-02, eta: 19:01:24, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8256, top5_acc: 0.9794, loss_cls: 3.4251, loss: 3.4251 2023-12-24 12:45:55,782 - pyskl - INFO - Epoch [74][700/3405] lr: 1.297e-02, eta: 19:00:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8319, top5_acc: 0.9750, loss_cls: 3.4270, loss: 3.4270 2023-12-24 12:46:21,132 - pyskl - INFO - Epoch [74][800/3405] lr: 1.296e-02, eta: 19:00:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9750, loss_cls: 3.4313, loss: 3.4313 2023-12-24 12:46:46,668 - pyskl - INFO - Epoch [74][900/3405] lr: 1.295e-02, eta: 19:00:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8269, top5_acc: 0.9744, loss_cls: 3.4233, loss: 3.4233 2023-12-24 12:47:12,420 - pyskl - INFO - Epoch [74][1000/3405] lr: 1.295e-02, eta: 18:59:36, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8387, top5_acc: 0.9831, loss_cls: 3.3958, loss: 3.3958 2023-12-24 12:47:38,257 - pyskl - INFO - Epoch [74][1100/3405] lr: 1.294e-02, eta: 18:59:10, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8538, top5_acc: 0.9825, loss_cls: 3.3613, loss: 3.3613 2023-12-24 12:48:03,509 - pyskl - INFO - Epoch [74][1200/3405] lr: 1.293e-02, eta: 18:58:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8294, top5_acc: 0.9756, loss_cls: 3.4286, loss: 3.4286 2023-12-24 12:48:28,929 - pyskl - INFO - Epoch [74][1300/3405] lr: 1.292e-02, eta: 18:58:16, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8269, top5_acc: 0.9738, loss_cls: 3.4419, loss: 3.4419 2023-12-24 12:48:54,404 - pyskl - INFO - Epoch [74][1400/3405] lr: 1.292e-02, eta: 18:57:49, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8438, top5_acc: 0.9750, loss_cls: 3.4130, loss: 3.4130 2023-12-24 12:49:19,934 - pyskl - INFO - Epoch [74][1500/3405] lr: 1.291e-02, eta: 18:57:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9762, loss_cls: 3.4016, loss: 3.4016 2023-12-24 12:49:45,374 - pyskl - INFO - Epoch [74][1600/3405] lr: 1.290e-02, eta: 18:56:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9719, loss_cls: 3.4330, loss: 3.4330 2023-12-24 12:50:10,618 - pyskl - INFO - Epoch [74][1700/3405] lr: 1.289e-02, eta: 18:56:28, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9744, loss_cls: 3.4403, loss: 3.4403 2023-12-24 12:50:35,988 - pyskl - INFO - Epoch [74][1800/3405] lr: 1.289e-02, eta: 18:56:01, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9806, loss_cls: 3.4420, loss: 3.4420 2023-12-24 12:51:01,858 - pyskl - INFO - Epoch [74][1900/3405] lr: 1.288e-02, eta: 18:55:34, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8325, top5_acc: 0.9700, loss_cls: 3.4202, loss: 3.4202 2023-12-24 12:51:27,321 - pyskl - INFO - Epoch [74][2000/3405] lr: 1.287e-02, eta: 18:55:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8194, top5_acc: 0.9644, loss_cls: 3.4710, loss: 3.4710 2023-12-24 12:51:52,505 - pyskl - INFO - Epoch [74][2100/3405] lr: 1.286e-02, eta: 18:54:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9712, loss_cls: 3.4641, loss: 3.4641 2023-12-24 12:52:17,635 - pyskl - INFO - Epoch [74][2200/3405] lr: 1.285e-02, eta: 18:54:13, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8231, top5_acc: 0.9681, loss_cls: 3.4776, loss: 3.4776 2023-12-24 12:52:43,068 - pyskl - INFO - Epoch [74][2300/3405] lr: 1.285e-02, eta: 18:53:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8156, top5_acc: 0.9700, loss_cls: 3.4652, loss: 3.4652 2023-12-24 12:53:08,272 - pyskl - INFO - Epoch [74][2400/3405] lr: 1.284e-02, eta: 18:53:19, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8263, top5_acc: 0.9725, loss_cls: 3.4397, loss: 3.4397 2023-12-24 12:53:33,940 - pyskl - INFO - Epoch [74][2500/3405] lr: 1.283e-02, eta: 18:52:52, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9700, loss_cls: 3.4428, loss: 3.4428 2023-12-24 12:53:59,086 - pyskl - INFO - Epoch [74][2600/3405] lr: 1.282e-02, eta: 18:52:25, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8462, top5_acc: 0.9794, loss_cls: 3.3891, loss: 3.3891 2023-12-24 12:54:24,462 - pyskl - INFO - Epoch [74][2700/3405] lr: 1.282e-02, eta: 18:51:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9800, loss_cls: 3.4052, loss: 3.4052 2023-12-24 12:54:49,502 - pyskl - INFO - Epoch [74][2800/3405] lr: 1.281e-02, eta: 18:51:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8087, top5_acc: 0.9656, loss_cls: 3.4888, loss: 3.4888 2023-12-24 12:55:15,629 - pyskl - INFO - Epoch [74][2900/3405] lr: 1.280e-02, eta: 18:51:04, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8237, top5_acc: 0.9725, loss_cls: 3.4689, loss: 3.4689 2023-12-24 12:55:41,165 - pyskl - INFO - Epoch [74][3000/3405] lr: 1.279e-02, eta: 18:50:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8313, top5_acc: 0.9712, loss_cls: 3.4715, loss: 3.4715 2023-12-24 12:56:06,750 - pyskl - INFO - Epoch [74][3100/3405] lr: 1.279e-02, eta: 18:50:11, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9656, loss_cls: 3.4657, loss: 3.4657 2023-12-24 12:56:32,250 - pyskl - INFO - Epoch [74][3200/3405] lr: 1.278e-02, eta: 18:49:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9625, loss_cls: 3.4919, loss: 3.4919 2023-12-24 12:56:58,003 - pyskl - INFO - Epoch [74][3300/3405] lr: 1.277e-02, eta: 18:49:17, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8237, top5_acc: 0.9781, loss_cls: 3.4181, loss: 3.4181 2023-12-24 12:57:23,848 - pyskl - INFO - Epoch [74][3400/3405] lr: 1.276e-02, eta: 18:48:51, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8169, top5_acc: 0.9812, loss_cls: 3.4370, loss: 3.4370 2023-12-24 12:57:25,769 - pyskl - INFO - Saving checkpoint at 74 epochs 2023-12-24 13:01:50,157 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 13:01:50,806 - pyskl - INFO - top1_acc 0.7853 top5_acc 0.9572 2023-12-24 13:01:50,831 - pyskl - INFO - Epoch(val) [74][3718] top1_acc: 0.7853, top5_acc: 0.9572 2023-12-24 13:02:44,122 - pyskl - INFO - Epoch [75][100/3405] lr: 1.275e-02, eta: 18:48:50, time: 0.533, data_time: 0.283, memory: 5236, top1_acc: 0.8525, top5_acc: 0.9844, loss_cls: 3.3552, loss: 3.3552 2023-12-24 13:03:09,134 - pyskl - INFO - Epoch [75][200/3405] lr: 1.275e-02, eta: 18:48:22, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8581, top5_acc: 0.9794, loss_cls: 3.3532, loss: 3.3532 2023-12-24 13:03:34,052 - pyskl - INFO - Epoch [75][300/3405] lr: 1.274e-02, eta: 18:47:55, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8219, top5_acc: 0.9750, loss_cls: 3.4582, loss: 3.4582 2023-12-24 13:03:59,013 - pyskl - INFO - Epoch [75][400/3405] lr: 1.273e-02, eta: 18:47:27, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9825, loss_cls: 3.4128, loss: 3.4128 2023-12-24 13:04:23,946 - pyskl - INFO - Epoch [75][500/3405] lr: 1.272e-02, eta: 18:47:00, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9769, loss_cls: 3.4012, loss: 3.4012 2023-12-24 13:04:48,910 - pyskl - INFO - Epoch [75][600/3405] lr: 1.272e-02, eta: 18:46:33, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8431, top5_acc: 0.9756, loss_cls: 3.3866, loss: 3.3866 2023-12-24 13:05:13,941 - pyskl - INFO - Epoch [75][700/3405] lr: 1.271e-02, eta: 18:46:05, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9812, loss_cls: 3.3759, loss: 3.3759 2023-12-24 13:05:39,300 - pyskl - INFO - Epoch [75][800/3405] lr: 1.270e-02, eta: 18:45:38, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9756, loss_cls: 3.4046, loss: 3.4046 2023-12-24 13:06:04,740 - pyskl - INFO - Epoch [75][900/3405] lr: 1.269e-02, eta: 18:45:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8187, top5_acc: 0.9831, loss_cls: 3.4143, loss: 3.4143 2023-12-24 13:06:30,281 - pyskl - INFO - Epoch [75][1000/3405] lr: 1.268e-02, eta: 18:44:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9750, loss_cls: 3.3988, loss: 3.3988 2023-12-24 13:06:55,887 - pyskl - INFO - Epoch [75][1100/3405] lr: 1.268e-02, eta: 18:44:18, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8319, top5_acc: 0.9744, loss_cls: 3.4127, loss: 3.4127 2023-12-24 13:07:21,418 - pyskl - INFO - Epoch [75][1200/3405] lr: 1.267e-02, eta: 18:43:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9725, loss_cls: 3.4726, loss: 3.4726 2023-12-24 13:07:46,586 - pyskl - INFO - Epoch [75][1300/3405] lr: 1.266e-02, eta: 18:43:24, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8350, top5_acc: 0.9700, loss_cls: 3.4293, loss: 3.4293 2023-12-24 13:08:12,154 - pyskl - INFO - Epoch [75][1400/3405] lr: 1.265e-02, eta: 18:42:57, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9806, loss_cls: 3.4079, loss: 3.4079 2023-12-24 13:08:37,662 - pyskl - INFO - Epoch [75][1500/3405] lr: 1.265e-02, eta: 18:42:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8387, top5_acc: 0.9769, loss_cls: 3.4147, loss: 3.4147 2023-12-24 13:09:02,738 - pyskl - INFO - Epoch [75][1600/3405] lr: 1.264e-02, eta: 18:42:03, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8256, top5_acc: 0.9731, loss_cls: 3.4546, loss: 3.4546 2023-12-24 13:09:27,862 - pyskl - INFO - Epoch [75][1700/3405] lr: 1.263e-02, eta: 18:41:35, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8413, top5_acc: 0.9794, loss_cls: 3.3888, loss: 3.3888 2023-12-24 13:09:53,398 - pyskl - INFO - Epoch [75][1800/3405] lr: 1.262e-02, eta: 18:41:09, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9700, loss_cls: 3.4434, loss: 3.4434 2023-12-24 13:10:18,620 - pyskl - INFO - Epoch [75][1900/3405] lr: 1.262e-02, eta: 18:40:41, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.7856, top5_acc: 0.9669, loss_cls: 3.5480, loss: 3.5480 2023-12-24 13:10:44,028 - pyskl - INFO - Epoch [75][2000/3405] lr: 1.261e-02, eta: 18:40:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8350, top5_acc: 0.9731, loss_cls: 3.4187, loss: 3.4187 2023-12-24 13:11:09,691 - pyskl - INFO - Epoch [75][2100/3405] lr: 1.260e-02, eta: 18:39:48, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8294, top5_acc: 0.9688, loss_cls: 3.4389, loss: 3.4389 2023-12-24 13:11:35,078 - pyskl - INFO - Epoch [75][2200/3405] lr: 1.259e-02, eta: 18:39:21, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8250, top5_acc: 0.9744, loss_cls: 3.4195, loss: 3.4195 2023-12-24 13:12:00,256 - pyskl - INFO - Epoch [75][2300/3405] lr: 1.259e-02, eta: 18:38:54, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9781, loss_cls: 3.4073, loss: 3.4073 2023-12-24 13:12:25,227 - pyskl - INFO - Epoch [75][2400/3405] lr: 1.258e-02, eta: 18:38:26, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8237, top5_acc: 0.9775, loss_cls: 3.4350, loss: 3.4350 2023-12-24 13:12:50,592 - pyskl - INFO - Epoch [75][2500/3405] lr: 1.257e-02, eta: 18:37:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8225, top5_acc: 0.9681, loss_cls: 3.4604, loss: 3.4604 2023-12-24 13:13:16,363 - pyskl - INFO - Epoch [75][2600/3405] lr: 1.256e-02, eta: 18:37:33, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8263, top5_acc: 0.9731, loss_cls: 3.4574, loss: 3.4574 2023-12-24 13:13:41,289 - pyskl - INFO - Epoch [75][2700/3405] lr: 1.255e-02, eta: 18:37:05, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8256, top5_acc: 0.9762, loss_cls: 3.4396, loss: 3.4396 2023-12-24 13:14:06,208 - pyskl - INFO - Epoch [75][2800/3405] lr: 1.255e-02, eta: 18:36:38, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8381, top5_acc: 0.9725, loss_cls: 3.4023, loss: 3.4023 2023-12-24 13:14:31,653 - pyskl - INFO - Epoch [75][2900/3405] lr: 1.254e-02, eta: 18:36:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8237, top5_acc: 0.9725, loss_cls: 3.4575, loss: 3.4575 2023-12-24 13:14:57,092 - pyskl - INFO - Epoch [75][3000/3405] lr: 1.253e-02, eta: 18:35:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8481, top5_acc: 0.9756, loss_cls: 3.3986, loss: 3.3986 2023-12-24 13:15:22,309 - pyskl - INFO - Epoch [75][3100/3405] lr: 1.252e-02, eta: 18:35:17, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9769, loss_cls: 3.4370, loss: 3.4370 2023-12-24 13:15:47,876 - pyskl - INFO - Epoch [75][3200/3405] lr: 1.252e-02, eta: 18:34:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9800, loss_cls: 3.4070, loss: 3.4070 2023-12-24 13:16:13,766 - pyskl - INFO - Epoch [75][3300/3405] lr: 1.251e-02, eta: 18:34:24, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8300, top5_acc: 0.9725, loss_cls: 3.4343, loss: 3.4343 2023-12-24 13:16:39,768 - pyskl - INFO - Epoch [75][3400/3405] lr: 1.250e-02, eta: 18:33:57, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8244, top5_acc: 0.9738, loss_cls: 3.4393, loss: 3.4393 2023-12-24 13:16:41,862 - pyskl - INFO - Saving checkpoint at 75 epochs 2023-12-24 13:21:05,688 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 13:21:06,309 - pyskl - INFO - top1_acc 0.8038 top5_acc 0.9615 2023-12-24 13:21:06,334 - pyskl - INFO - Epoch(val) [75][3718] top1_acc: 0.8038, top5_acc: 0.9615 2023-12-24 13:21:59,656 - pyskl - INFO - Epoch [76][100/3405] lr: 1.249e-02, eta: 18:33:56, time: 0.533, data_time: 0.281, memory: 5236, top1_acc: 0.8406, top5_acc: 0.9775, loss_cls: 3.3754, loss: 3.3754 2023-12-24 13:22:24,916 - pyskl - INFO - Epoch [76][200/3405] lr: 1.248e-02, eta: 18:33:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8500, top5_acc: 0.9838, loss_cls: 3.3453, loss: 3.3453 2023-12-24 13:22:50,251 - pyskl - INFO - Epoch [76][300/3405] lr: 1.248e-02, eta: 18:33:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8512, top5_acc: 0.9712, loss_cls: 3.3867, loss: 3.3867 2023-12-24 13:23:15,573 - pyskl - INFO - Epoch [76][400/3405] lr: 1.247e-02, eta: 18:32:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8325, top5_acc: 0.9781, loss_cls: 3.3924, loss: 3.3924 2023-12-24 13:23:40,982 - pyskl - INFO - Epoch [76][500/3405] lr: 1.246e-02, eta: 18:32:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8406, top5_acc: 0.9712, loss_cls: 3.4080, loss: 3.4080 2023-12-24 13:24:06,430 - pyskl - INFO - Epoch [76][600/3405] lr: 1.245e-02, eta: 18:31:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8425, top5_acc: 0.9819, loss_cls: 3.3999, loss: 3.3999 2023-12-24 13:24:32,473 - pyskl - INFO - Epoch [76][700/3405] lr: 1.245e-02, eta: 18:31:14, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8506, top5_acc: 0.9719, loss_cls: 3.3875, loss: 3.3875 2023-12-24 13:24:58,158 - pyskl - INFO - Epoch [76][800/3405] lr: 1.244e-02, eta: 18:30:48, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8387, top5_acc: 0.9719, loss_cls: 3.4400, loss: 3.4400 2023-12-24 13:25:23,472 - pyskl - INFO - Epoch [76][900/3405] lr: 1.243e-02, eta: 18:30:21, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8331, top5_acc: 0.9769, loss_cls: 3.4150, loss: 3.4150 2023-12-24 13:25:49,105 - pyskl - INFO - Epoch [76][1000/3405] lr: 1.242e-02, eta: 18:29:54, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8337, top5_acc: 0.9744, loss_cls: 3.4269, loss: 3.4269 2023-12-24 13:26:14,837 - pyskl - INFO - Epoch [76][1100/3405] lr: 1.242e-02, eta: 18:29:27, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9744, loss_cls: 3.4248, loss: 3.4248 2023-12-24 13:26:40,160 - pyskl - INFO - Epoch [76][1200/3405] lr: 1.241e-02, eta: 18:29:00, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9781, loss_cls: 3.3870, loss: 3.3870 2023-12-24 13:27:05,552 - pyskl - INFO - Epoch [76][1300/3405] lr: 1.240e-02, eta: 18:28:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8544, top5_acc: 0.9769, loss_cls: 3.3610, loss: 3.3610 2023-12-24 13:27:31,018 - pyskl - INFO - Epoch [76][1400/3405] lr: 1.239e-02, eta: 18:28:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8200, top5_acc: 0.9706, loss_cls: 3.4718, loss: 3.4718 2023-12-24 13:27:56,687 - pyskl - INFO - Epoch [76][1500/3405] lr: 1.238e-02, eta: 18:27:40, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8069, top5_acc: 0.9712, loss_cls: 3.4778, loss: 3.4778 2023-12-24 13:28:22,374 - pyskl - INFO - Epoch [76][1600/3405] lr: 1.238e-02, eta: 18:27:13, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8213, top5_acc: 0.9694, loss_cls: 3.4357, loss: 3.4357 2023-12-24 13:28:47,726 - pyskl - INFO - Epoch [76][1700/3405] lr: 1.237e-02, eta: 18:26:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9744, loss_cls: 3.4203, loss: 3.4203 2023-12-24 13:29:13,441 - pyskl - INFO - Epoch [76][1800/3405] lr: 1.236e-02, eta: 18:26:19, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8481, top5_acc: 0.9725, loss_cls: 3.4009, loss: 3.4009 2023-12-24 13:29:38,794 - pyskl - INFO - Epoch [76][1900/3405] lr: 1.235e-02, eta: 18:25:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8206, top5_acc: 0.9750, loss_cls: 3.4326, loss: 3.4326 2023-12-24 13:30:04,370 - pyskl - INFO - Epoch [76][2000/3405] lr: 1.235e-02, eta: 18:25:26, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9775, loss_cls: 3.4103, loss: 3.4103 2023-12-24 13:30:30,436 - pyskl - INFO - Epoch [76][2100/3405] lr: 1.234e-02, eta: 18:24:59, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8244, top5_acc: 0.9719, loss_cls: 3.4588, loss: 3.4588 2023-12-24 13:30:56,977 - pyskl - INFO - Epoch [76][2200/3405] lr: 1.233e-02, eta: 18:24:33, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9819, loss_cls: 3.3914, loss: 3.3914 2023-12-24 13:31:22,372 - pyskl - INFO - Epoch [76][2300/3405] lr: 1.232e-02, eta: 18:24:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8500, top5_acc: 0.9800, loss_cls: 3.3875, loss: 3.3875 2023-12-24 13:31:47,427 - pyskl - INFO - Epoch [76][2400/3405] lr: 1.232e-02, eta: 18:23:39, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9744, loss_cls: 3.4205, loss: 3.4205 2023-12-24 13:32:12,852 - pyskl - INFO - Epoch [76][2500/3405] lr: 1.231e-02, eta: 18:23:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8400, top5_acc: 0.9762, loss_cls: 3.4175, loss: 3.4175 2023-12-24 13:32:37,899 - pyskl - INFO - Epoch [76][2600/3405] lr: 1.230e-02, eta: 18:22:45, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8237, top5_acc: 0.9800, loss_cls: 3.4136, loss: 3.4136 2023-12-24 13:33:02,883 - pyskl - INFO - Epoch [76][2700/3405] lr: 1.229e-02, eta: 18:22:18, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8269, top5_acc: 0.9712, loss_cls: 3.4646, loss: 3.4646 2023-12-24 13:33:28,212 - pyskl - INFO - Epoch [76][2800/3405] lr: 1.228e-02, eta: 18:21:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8350, top5_acc: 0.9794, loss_cls: 3.4091, loss: 3.4091 2023-12-24 13:33:53,732 - pyskl - INFO - Epoch [76][2900/3405] lr: 1.228e-02, eta: 18:21:24, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8313, top5_acc: 0.9725, loss_cls: 3.4355, loss: 3.4355 2023-12-24 13:34:19,267 - pyskl - INFO - Epoch [76][3000/3405] lr: 1.227e-02, eta: 18:20:57, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8313, top5_acc: 0.9700, loss_cls: 3.4349, loss: 3.4349 2023-12-24 13:34:44,544 - pyskl - INFO - Epoch [76][3100/3405] lr: 1.226e-02, eta: 18:20:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8294, top5_acc: 0.9781, loss_cls: 3.4413, loss: 3.4413 2023-12-24 13:35:10,067 - pyskl - INFO - Epoch [76][3200/3405] lr: 1.225e-02, eta: 18:20:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9788, loss_cls: 3.3945, loss: 3.3945 2023-12-24 13:35:35,675 - pyskl - INFO - Epoch [76][3300/3405] lr: 1.225e-02, eta: 18:19:37, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 3.3900, loss: 3.3900 2023-12-24 13:36:01,129 - pyskl - INFO - Epoch [76][3400/3405] lr: 1.224e-02, eta: 18:19:10, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 3.3950, loss: 3.3950 2023-12-24 13:36:03,209 - pyskl - INFO - Saving checkpoint at 76 epochs 2023-12-24 13:40:27,151 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 13:40:27,769 - pyskl - INFO - top1_acc 0.7790 top5_acc 0.9556 2023-12-24 13:40:27,794 - pyskl - INFO - Epoch(val) [76][3718] top1_acc: 0.7790, top5_acc: 0.9556 2023-12-24 13:41:21,521 - pyskl - INFO - Epoch [77][100/3405] lr: 1.223e-02, eta: 18:19:08, time: 0.537, data_time: 0.285, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9819, loss_cls: 3.3740, loss: 3.3740 2023-12-24 13:41:46,671 - pyskl - INFO - Epoch [77][200/3405] lr: 1.222e-02, eta: 18:18:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8569, top5_acc: 0.9788, loss_cls: 3.3634, loss: 3.3634 2023-12-24 13:42:11,967 - pyskl - INFO - Epoch [77][300/3405] lr: 1.222e-02, eta: 18:18:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 3.3162, loss: 3.3162 2023-12-24 13:42:37,213 - pyskl - INFO - Epoch [77][400/3405] lr: 1.221e-02, eta: 18:17:46, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8512, top5_acc: 0.9831, loss_cls: 3.3463, loss: 3.3463 2023-12-24 13:43:02,482 - pyskl - INFO - Epoch [77][500/3405] lr: 1.220e-02, eta: 18:17:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9725, loss_cls: 3.3994, loss: 3.3994 2023-12-24 13:43:27,658 - pyskl - INFO - Epoch [77][600/3405] lr: 1.219e-02, eta: 18:16:52, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8462, top5_acc: 0.9775, loss_cls: 3.3881, loss: 3.3881 2023-12-24 13:43:52,832 - pyskl - INFO - Epoch [77][700/3405] lr: 1.218e-02, eta: 18:16:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8344, top5_acc: 0.9794, loss_cls: 3.3855, loss: 3.3855 2023-12-24 13:44:18,330 - pyskl - INFO - Epoch [77][800/3405] lr: 1.218e-02, eta: 18:15:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9719, loss_cls: 3.4265, loss: 3.4265 2023-12-24 13:44:43,605 - pyskl - INFO - Epoch [77][900/3405] lr: 1.217e-02, eta: 18:15:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8413, top5_acc: 0.9756, loss_cls: 3.3697, loss: 3.3697 2023-12-24 13:45:09,227 - pyskl - INFO - Epoch [77][1000/3405] lr: 1.216e-02, eta: 18:15:04, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9794, loss_cls: 3.3768, loss: 3.3768 2023-12-24 13:45:35,168 - pyskl - INFO - Epoch [77][1100/3405] lr: 1.215e-02, eta: 18:14:38, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9756, loss_cls: 3.4125, loss: 3.4125 2023-12-24 13:46:00,511 - pyskl - INFO - Epoch [77][1200/3405] lr: 1.215e-02, eta: 18:14:11, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9750, loss_cls: 3.4049, loss: 3.4049 2023-12-24 13:46:26,753 - pyskl - INFO - Epoch [77][1300/3405] lr: 1.214e-02, eta: 18:13:45, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9794, loss_cls: 3.3973, loss: 3.3973 2023-12-24 13:46:52,202 - pyskl - INFO - Epoch [77][1400/3405] lr: 1.213e-02, eta: 18:13:18, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8400, top5_acc: 0.9762, loss_cls: 3.3944, loss: 3.3944 2023-12-24 13:47:18,094 - pyskl - INFO - Epoch [77][1500/3405] lr: 1.212e-02, eta: 18:12:51, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8506, top5_acc: 0.9731, loss_cls: 3.3917, loss: 3.3917 2023-12-24 13:47:43,688 - pyskl - INFO - Epoch [77][1600/3405] lr: 1.212e-02, eta: 18:12:25, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9800, loss_cls: 3.4024, loss: 3.4024 2023-12-24 13:48:09,220 - pyskl - INFO - Epoch [77][1700/3405] lr: 1.211e-02, eta: 18:11:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8438, top5_acc: 0.9738, loss_cls: 3.4008, loss: 3.4008 2023-12-24 13:48:34,447 - pyskl - INFO - Epoch [77][1800/3405] lr: 1.210e-02, eta: 18:11:31, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8050, top5_acc: 0.9656, loss_cls: 3.4964, loss: 3.4964 2023-12-24 13:48:59,761 - pyskl - INFO - Epoch [77][1900/3405] lr: 1.209e-02, eta: 18:11:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9706, loss_cls: 3.4447, loss: 3.4447 2023-12-24 13:49:25,146 - pyskl - INFO - Epoch [77][2000/3405] lr: 1.208e-02, eta: 18:10:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8319, top5_acc: 0.9738, loss_cls: 3.4392, loss: 3.4392 2023-12-24 13:49:50,567 - pyskl - INFO - Epoch [77][2100/3405] lr: 1.208e-02, eta: 18:10:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8556, top5_acc: 0.9775, loss_cls: 3.3411, loss: 3.3411 2023-12-24 13:50:16,206 - pyskl - INFO - Epoch [77][2200/3405] lr: 1.207e-02, eta: 18:09:43, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9619, loss_cls: 3.4735, loss: 3.4735 2023-12-24 13:50:41,473 - pyskl - INFO - Epoch [77][2300/3405] lr: 1.206e-02, eta: 18:09:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8331, top5_acc: 0.9712, loss_cls: 3.4135, loss: 3.4135 2023-12-24 13:51:06,730 - pyskl - INFO - Epoch [77][2400/3405] lr: 1.205e-02, eta: 18:08:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8344, top5_acc: 0.9788, loss_cls: 3.3886, loss: 3.3886 2023-12-24 13:51:32,005 - pyskl - INFO - Epoch [77][2500/3405] lr: 1.205e-02, eta: 18:08:22, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8519, top5_acc: 0.9769, loss_cls: 3.3783, loss: 3.3783 2023-12-24 13:51:57,428 - pyskl - INFO - Epoch [77][2600/3405] lr: 1.204e-02, eta: 18:07:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9781, loss_cls: 3.3851, loss: 3.3851 2023-12-24 13:52:22,545 - pyskl - INFO - Epoch [77][2700/3405] lr: 1.203e-02, eta: 18:07:28, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9744, loss_cls: 3.3986, loss: 3.3986 2023-12-24 13:52:47,885 - pyskl - INFO - Epoch [77][2800/3405] lr: 1.202e-02, eta: 18:07:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8269, top5_acc: 0.9738, loss_cls: 3.4431, loss: 3.4431 2023-12-24 13:53:13,015 - pyskl - INFO - Epoch [77][2900/3405] lr: 1.202e-02, eta: 18:06:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8438, top5_acc: 0.9706, loss_cls: 3.4010, loss: 3.4010 2023-12-24 13:53:38,469 - pyskl - INFO - Epoch [77][3000/3405] lr: 1.201e-02, eta: 18:06:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8350, top5_acc: 0.9769, loss_cls: 3.4130, loss: 3.4130 2023-12-24 13:54:03,560 - pyskl - INFO - Epoch [77][3100/3405] lr: 1.200e-02, eta: 18:05:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9769, loss_cls: 3.3738, loss: 3.3738 2023-12-24 13:54:28,516 - pyskl - INFO - Epoch [77][3200/3405] lr: 1.199e-02, eta: 18:05:13, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8344, top5_acc: 0.9781, loss_cls: 3.4075, loss: 3.4075 2023-12-24 13:54:53,454 - pyskl - INFO - Epoch [77][3300/3405] lr: 1.198e-02, eta: 18:04:45, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8244, top5_acc: 0.9744, loss_cls: 3.4383, loss: 3.4383 2023-12-24 13:55:18,409 - pyskl - INFO - Epoch [77][3400/3405] lr: 1.198e-02, eta: 18:04:18, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9794, loss_cls: 3.4088, loss: 3.4088 2023-12-24 13:55:20,264 - pyskl - INFO - Saving checkpoint at 77 epochs 2023-12-24 13:59:44,174 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 13:59:44,785 - pyskl - INFO - top1_acc 0.7676 top5_acc 0.9548 2023-12-24 13:59:44,811 - pyskl - INFO - Epoch(val) [77][3718] top1_acc: 0.7676, top5_acc: 0.9548 2023-12-24 14:00:38,063 - pyskl - INFO - Epoch [78][100/3405] lr: 1.197e-02, eta: 18:04:15, time: 0.532, data_time: 0.279, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9806, loss_cls: 3.3335, loss: 3.3335 2023-12-24 14:01:03,191 - pyskl - INFO - Epoch [78][200/3405] lr: 1.196e-02, eta: 18:03:48, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8688, top5_acc: 0.9762, loss_cls: 3.3379, loss: 3.3379 2023-12-24 14:01:28,668 - pyskl - INFO - Epoch [78][300/3405] lr: 1.195e-02, eta: 18:03:21, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9781, loss_cls: 3.3824, loss: 3.3824 2023-12-24 14:01:53,814 - pyskl - INFO - Epoch [78][400/3405] lr: 1.195e-02, eta: 18:02:54, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8300, top5_acc: 0.9756, loss_cls: 3.4120, loss: 3.4120 2023-12-24 14:02:19,054 - pyskl - INFO - Epoch [78][500/3405] lr: 1.194e-02, eta: 18:02:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8300, top5_acc: 0.9756, loss_cls: 3.4262, loss: 3.4262 2023-12-24 14:02:44,201 - pyskl - INFO - Epoch [78][600/3405] lr: 1.193e-02, eta: 18:01:59, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8450, top5_acc: 0.9769, loss_cls: 3.3797, loss: 3.3797 2023-12-24 14:03:09,187 - pyskl - INFO - Epoch [78][700/3405] lr: 1.192e-02, eta: 18:01:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8512, top5_acc: 0.9794, loss_cls: 3.3618, loss: 3.3618 2023-12-24 14:03:34,609 - pyskl - INFO - Epoch [78][800/3405] lr: 1.192e-02, eta: 18:01:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8381, top5_acc: 0.9750, loss_cls: 3.3923, loss: 3.3923 2023-12-24 14:03:59,931 - pyskl - INFO - Epoch [78][900/3405] lr: 1.191e-02, eta: 18:00:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8431, top5_acc: 0.9781, loss_cls: 3.3859, loss: 3.3859 2023-12-24 14:04:25,354 - pyskl - INFO - Epoch [78][1000/3405] lr: 1.190e-02, eta: 18:00:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8313, top5_acc: 0.9781, loss_cls: 3.4103, loss: 3.4103 2023-12-24 14:04:50,967 - pyskl - INFO - Epoch [78][1100/3405] lr: 1.189e-02, eta: 17:59:45, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8425, top5_acc: 0.9756, loss_cls: 3.3898, loss: 3.3898 2023-12-24 14:05:15,984 - pyskl - INFO - Epoch [78][1200/3405] lr: 1.188e-02, eta: 17:59:17, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 3.3585, loss: 3.3585 2023-12-24 14:05:41,022 - pyskl - INFO - Epoch [78][1300/3405] lr: 1.188e-02, eta: 17:58:50, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8675, top5_acc: 0.9831, loss_cls: 3.3256, loss: 3.3256 2023-12-24 14:06:06,025 - pyskl - INFO - Epoch [78][1400/3405] lr: 1.187e-02, eta: 17:58:23, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8538, top5_acc: 0.9769, loss_cls: 3.3829, loss: 3.3829 2023-12-24 14:06:31,185 - pyskl - INFO - Epoch [78][1500/3405] lr: 1.186e-02, eta: 17:57:56, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8413, top5_acc: 0.9731, loss_cls: 3.4142, loss: 3.4142 2023-12-24 14:06:56,818 - pyskl - INFO - Epoch [78][1600/3405] lr: 1.185e-02, eta: 17:57:29, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8450, top5_acc: 0.9731, loss_cls: 3.3814, loss: 3.3814 2023-12-24 14:07:22,065 - pyskl - INFO - Epoch [78][1700/3405] lr: 1.185e-02, eta: 17:57:02, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8506, top5_acc: 0.9850, loss_cls: 3.3509, loss: 3.3509 2023-12-24 14:07:47,350 - pyskl - INFO - Epoch [78][1800/3405] lr: 1.184e-02, eta: 17:56:35, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8450, top5_acc: 0.9744, loss_cls: 3.3832, loss: 3.3832 2023-12-24 14:08:12,970 - pyskl - INFO - Epoch [78][1900/3405] lr: 1.183e-02, eta: 17:56:08, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9738, loss_cls: 3.3873, loss: 3.3873 2023-12-24 14:08:38,274 - pyskl - INFO - Epoch [78][2000/3405] lr: 1.182e-02, eta: 17:55:41, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9794, loss_cls: 3.3671, loss: 3.3671 2023-12-24 14:09:03,876 - pyskl - INFO - Epoch [78][2100/3405] lr: 1.182e-02, eta: 17:55:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8525, top5_acc: 0.9756, loss_cls: 3.3725, loss: 3.3725 2023-12-24 14:09:29,052 - pyskl - INFO - Epoch [78][2200/3405] lr: 1.181e-02, eta: 17:54:47, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8438, top5_acc: 0.9781, loss_cls: 3.3893, loss: 3.3893 2023-12-24 14:09:54,558 - pyskl - INFO - Epoch [78][2300/3405] lr: 1.180e-02, eta: 17:54:21, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9775, loss_cls: 3.3946, loss: 3.3946 2023-12-24 14:10:19,666 - pyskl - INFO - Epoch [78][2400/3405] lr: 1.179e-02, eta: 17:53:53, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8462, top5_acc: 0.9788, loss_cls: 3.3704, loss: 3.3704 2023-12-24 14:10:44,922 - pyskl - INFO - Epoch [78][2500/3405] lr: 1.178e-02, eta: 17:53:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8400, top5_acc: 0.9738, loss_cls: 3.4082, loss: 3.4082 2023-12-24 14:11:10,549 - pyskl - INFO - Epoch [78][2600/3405] lr: 1.178e-02, eta: 17:53:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8269, top5_acc: 0.9719, loss_cls: 3.4377, loss: 3.4377 2023-12-24 14:11:35,791 - pyskl - INFO - Epoch [78][2700/3405] lr: 1.177e-02, eta: 17:52:33, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8313, top5_acc: 0.9706, loss_cls: 3.4298, loss: 3.4298 2023-12-24 14:12:01,095 - pyskl - INFO - Epoch [78][2800/3405] lr: 1.176e-02, eta: 17:52:06, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8106, top5_acc: 0.9700, loss_cls: 3.4777, loss: 3.4777 2023-12-24 14:12:26,273 - pyskl - INFO - Epoch [78][2900/3405] lr: 1.175e-02, eta: 17:51:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8081, top5_acc: 0.9731, loss_cls: 3.4619, loss: 3.4619 2023-12-24 14:12:51,620 - pyskl - INFO - Epoch [78][3000/3405] lr: 1.175e-02, eta: 17:51:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8144, top5_acc: 0.9681, loss_cls: 3.4657, loss: 3.4657 2023-12-24 14:13:17,163 - pyskl - INFO - Epoch [78][3100/3405] lr: 1.174e-02, eta: 17:50:45, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8406, top5_acc: 0.9775, loss_cls: 3.4252, loss: 3.4252 2023-12-24 14:13:42,522 - pyskl - INFO - Epoch [78][3200/3405] lr: 1.173e-02, eta: 17:50:18, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8425, top5_acc: 0.9762, loss_cls: 3.3936, loss: 3.3936 2023-12-24 14:14:08,451 - pyskl - INFO - Epoch [78][3300/3405] lr: 1.172e-02, eta: 17:49:52, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8187, top5_acc: 0.9719, loss_cls: 3.4549, loss: 3.4549 2023-12-24 14:14:34,892 - pyskl - INFO - Epoch [78][3400/3405] lr: 1.172e-02, eta: 17:49:26, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9762, loss_cls: 3.4476, loss: 3.4476 2023-12-24 14:14:36,881 - pyskl - INFO - Saving checkpoint at 78 epochs 2023-12-24 14:19:01,021 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 14:19:01,654 - pyskl - INFO - top1_acc 0.7828 top5_acc 0.9549 2023-12-24 14:19:01,680 - pyskl - INFO - Epoch(val) [78][3718] top1_acc: 0.7828, top5_acc: 0.9549 2023-12-24 14:19:54,555 - pyskl - INFO - Epoch [79][100/3405] lr: 1.171e-02, eta: 17:49:22, time: 0.529, data_time: 0.276, memory: 5236, top1_acc: 0.8625, top5_acc: 0.9838, loss_cls: 3.3216, loss: 3.3216 2023-12-24 14:20:19,943 - pyskl - INFO - Epoch [79][200/3405] lr: 1.170e-02, eta: 17:48:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9794, loss_cls: 3.3449, loss: 3.3449 2023-12-24 14:20:45,140 - pyskl - INFO - Epoch [79][300/3405] lr: 1.169e-02, eta: 17:48:28, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8350, top5_acc: 0.9775, loss_cls: 3.4001, loss: 3.4001 2023-12-24 14:21:10,355 - pyskl - INFO - Epoch [79][400/3405] lr: 1.168e-02, eta: 17:48:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8556, top5_acc: 0.9788, loss_cls: 3.3480, loss: 3.3480 2023-12-24 14:21:35,556 - pyskl - INFO - Epoch [79][500/3405] lr: 1.168e-02, eta: 17:47:33, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8481, top5_acc: 0.9812, loss_cls: 3.3816, loss: 3.3816 2023-12-24 14:22:01,135 - pyskl - INFO - Epoch [79][600/3405] lr: 1.167e-02, eta: 17:47:07, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8500, top5_acc: 0.9756, loss_cls: 3.3715, loss: 3.3715 2023-12-24 14:22:26,510 - pyskl - INFO - Epoch [79][700/3405] lr: 1.166e-02, eta: 17:46:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8550, top5_acc: 0.9700, loss_cls: 3.3710, loss: 3.3710 2023-12-24 14:22:52,362 - pyskl - INFO - Epoch [79][800/3405] lr: 1.165e-02, eta: 17:46:13, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 3.3449, loss: 3.3449 2023-12-24 14:23:17,877 - pyskl - INFO - Epoch [79][900/3405] lr: 1.165e-02, eta: 17:45:46, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8512, top5_acc: 0.9775, loss_cls: 3.3522, loss: 3.3522 2023-12-24 14:23:43,492 - pyskl - INFO - Epoch [79][1000/3405] lr: 1.164e-02, eta: 17:45:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9762, loss_cls: 3.4104, loss: 3.4104 2023-12-24 14:24:09,445 - pyskl - INFO - Epoch [79][1100/3405] lr: 1.163e-02, eta: 17:44:53, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 3.3624, loss: 3.3624 2023-12-24 14:24:35,733 - pyskl - INFO - Epoch [79][1200/3405] lr: 1.162e-02, eta: 17:44:27, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.8425, top5_acc: 0.9769, loss_cls: 3.3836, loss: 3.3836 2023-12-24 14:25:01,350 - pyskl - INFO - Epoch [79][1300/3405] lr: 1.162e-02, eta: 17:44:01, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8544, top5_acc: 0.9712, loss_cls: 3.3754, loss: 3.3754 2023-12-24 14:25:26,754 - pyskl - INFO - Epoch [79][1400/3405] lr: 1.161e-02, eta: 17:43:34, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9794, loss_cls: 3.4000, loss: 3.4000 2023-12-24 14:25:52,151 - pyskl - INFO - Epoch [79][1500/3405] lr: 1.160e-02, eta: 17:43:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 3.3779, loss: 3.3779 2023-12-24 14:26:18,139 - pyskl - INFO - Epoch [79][1600/3405] lr: 1.159e-02, eta: 17:42:40, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8475, top5_acc: 0.9769, loss_cls: 3.3875, loss: 3.3875 2023-12-24 14:26:43,754 - pyskl - INFO - Epoch [79][1700/3405] lr: 1.158e-02, eta: 17:42:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8469, top5_acc: 0.9769, loss_cls: 3.4043, loss: 3.4043 2023-12-24 14:27:09,043 - pyskl - INFO - Epoch [79][1800/3405] lr: 1.158e-02, eta: 17:41:47, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8344, top5_acc: 0.9712, loss_cls: 3.4133, loss: 3.4133 2023-12-24 14:27:34,799 - pyskl - INFO - Epoch [79][1900/3405] lr: 1.157e-02, eta: 17:41:20, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8150, top5_acc: 0.9731, loss_cls: 3.4332, loss: 3.4332 2023-12-24 14:28:00,244 - pyskl - INFO - Epoch [79][2000/3405] lr: 1.156e-02, eta: 17:40:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8319, top5_acc: 0.9775, loss_cls: 3.4163, loss: 3.4163 2023-12-24 14:28:25,664 - pyskl - INFO - Epoch [79][2100/3405] lr: 1.155e-02, eta: 17:40:26, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9750, loss_cls: 3.4618, loss: 3.4618 2023-12-24 14:28:51,138 - pyskl - INFO - Epoch [79][2200/3405] lr: 1.155e-02, eta: 17:40:00, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8400, top5_acc: 0.9788, loss_cls: 3.3933, loss: 3.3933 2023-12-24 14:29:16,639 - pyskl - INFO - Epoch [79][2300/3405] lr: 1.154e-02, eta: 17:39:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8425, top5_acc: 0.9712, loss_cls: 3.3917, loss: 3.3917 2023-12-24 14:29:41,899 - pyskl - INFO - Epoch [79][2400/3405] lr: 1.153e-02, eta: 17:39:06, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8488, top5_acc: 0.9794, loss_cls: 3.3745, loss: 3.3745 2023-12-24 14:30:07,248 - pyskl - INFO - Epoch [79][2500/3405] lr: 1.152e-02, eta: 17:38:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9688, loss_cls: 3.4256, loss: 3.4256 2023-12-24 14:30:32,554 - pyskl - INFO - Epoch [79][2600/3405] lr: 1.152e-02, eta: 17:38:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8438, top5_acc: 0.9712, loss_cls: 3.4186, loss: 3.4186 2023-12-24 14:30:58,073 - pyskl - INFO - Epoch [79][2700/3405] lr: 1.151e-02, eta: 17:37:45, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8250, top5_acc: 0.9762, loss_cls: 3.4375, loss: 3.4375 2023-12-24 14:31:23,558 - pyskl - INFO - Epoch [79][2800/3405] lr: 1.150e-02, eta: 17:37:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9731, loss_cls: 3.4187, loss: 3.4187 2023-12-24 14:31:48,806 - pyskl - INFO - Epoch [79][2900/3405] lr: 1.149e-02, eta: 17:36:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9775, loss_cls: 3.4037, loss: 3.4037 2023-12-24 14:32:13,716 - pyskl - INFO - Epoch [79][3000/3405] lr: 1.149e-02, eta: 17:36:24, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8475, top5_acc: 0.9769, loss_cls: 3.3786, loss: 3.3786 2023-12-24 14:32:38,685 - pyskl - INFO - Epoch [79][3100/3405] lr: 1.148e-02, eta: 17:35:57, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8531, top5_acc: 0.9869, loss_cls: 3.3590, loss: 3.3590 2023-12-24 14:33:04,234 - pyskl - INFO - Epoch [79][3200/3405] lr: 1.147e-02, eta: 17:35:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8387, top5_acc: 0.9769, loss_cls: 3.3977, loss: 3.3977 2023-12-24 14:33:29,600 - pyskl - INFO - Epoch [79][3300/3405] lr: 1.146e-02, eta: 17:35:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 3.3582, loss: 3.3582 2023-12-24 14:33:55,156 - pyskl - INFO - Epoch [79][3400/3405] lr: 1.145e-02, eta: 17:34:36, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8237, top5_acc: 0.9781, loss_cls: 3.4306, loss: 3.4306 2023-12-24 14:33:57,056 - pyskl - INFO - Saving checkpoint at 79 epochs 2023-12-24 14:38:21,364 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 14:38:21,998 - pyskl - INFO - top1_acc 0.7922 top5_acc 0.9607 2023-12-24 14:38:22,025 - pyskl - INFO - Epoch(val) [79][3718] top1_acc: 0.7922, top5_acc: 0.9607 2023-12-24 14:39:15,531 - pyskl - INFO - Epoch [80][100/3405] lr: 1.145e-02, eta: 17:34:32, time: 0.535, data_time: 0.284, memory: 5236, top1_acc: 0.8675, top5_acc: 0.9788, loss_cls: 3.3449, loss: 3.3449 2023-12-24 14:39:41,008 - pyskl - INFO - Epoch [80][200/3405] lr: 1.144e-02, eta: 17:34:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9856, loss_cls: 3.3302, loss: 3.3302 2023-12-24 14:40:06,059 - pyskl - INFO - Epoch [80][300/3405] lr: 1.143e-02, eta: 17:33:38, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 3.3393, loss: 3.3393 2023-12-24 14:40:31,123 - pyskl - INFO - Epoch [80][400/3405] lr: 1.142e-02, eta: 17:33:11, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8344, top5_acc: 0.9819, loss_cls: 3.4084, loss: 3.4084 2023-12-24 14:40:56,855 - pyskl - INFO - Epoch [80][500/3405] lr: 1.142e-02, eta: 17:32:45, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8494, top5_acc: 0.9781, loss_cls: 3.3550, loss: 3.3550 2023-12-24 14:41:22,519 - pyskl - INFO - Epoch [80][600/3405] lr: 1.141e-02, eta: 17:32:18, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9800, loss_cls: 3.4159, loss: 3.4159 2023-12-24 14:41:47,705 - pyskl - INFO - Epoch [80][700/3405] lr: 1.140e-02, eta: 17:31:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8344, top5_acc: 0.9750, loss_cls: 3.3979, loss: 3.3979 2023-12-24 14:42:13,134 - pyskl - INFO - Epoch [80][800/3405] lr: 1.139e-02, eta: 17:31:24, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8450, top5_acc: 0.9781, loss_cls: 3.4050, loss: 3.4050 2023-12-24 14:42:38,634 - pyskl - INFO - Epoch [80][900/3405] lr: 1.139e-02, eta: 17:30:57, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9762, loss_cls: 3.4041, loss: 3.4041 2023-12-24 14:43:04,251 - pyskl - INFO - Epoch [80][1000/3405] lr: 1.138e-02, eta: 17:30:31, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8181, top5_acc: 0.9725, loss_cls: 3.4355, loss: 3.4355 2023-12-24 14:43:30,021 - pyskl - INFO - Epoch [80][1100/3405] lr: 1.137e-02, eta: 17:30:04, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8556, top5_acc: 0.9744, loss_cls: 3.3688, loss: 3.3688 2023-12-24 14:43:55,732 - pyskl - INFO - Epoch [80][1200/3405] lr: 1.136e-02, eta: 17:29:37, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9800, loss_cls: 3.3615, loss: 3.3615 2023-12-24 14:44:21,171 - pyskl - INFO - Epoch [80][1300/3405] lr: 1.135e-02, eta: 17:29:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8500, top5_acc: 0.9831, loss_cls: 3.3674, loss: 3.3674 2023-12-24 14:44:46,926 - pyskl - INFO - Epoch [80][1400/3405] lr: 1.135e-02, eta: 17:28:44, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8400, top5_acc: 0.9756, loss_cls: 3.3978, loss: 3.3978 2023-12-24 14:45:12,223 - pyskl - INFO - Epoch [80][1500/3405] lr: 1.134e-02, eta: 17:28:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8300, top5_acc: 0.9744, loss_cls: 3.4283, loss: 3.4283 2023-12-24 14:45:37,780 - pyskl - INFO - Epoch [80][1600/3405] lr: 1.133e-02, eta: 17:27:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9781, loss_cls: 3.3997, loss: 3.3997 2023-12-24 14:46:03,284 - pyskl - INFO - Epoch [80][1700/3405] lr: 1.132e-02, eta: 17:27:23, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8544, top5_acc: 0.9794, loss_cls: 3.3642, loss: 3.3642 2023-12-24 14:46:28,565 - pyskl - INFO - Epoch [80][1800/3405] lr: 1.132e-02, eta: 17:26:57, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9794, loss_cls: 3.3820, loss: 3.3820 2023-12-24 14:46:54,028 - pyskl - INFO - Epoch [80][1900/3405] lr: 1.131e-02, eta: 17:26:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9788, loss_cls: 3.3886, loss: 3.3886 2023-12-24 14:47:19,473 - pyskl - INFO - Epoch [80][2000/3405] lr: 1.130e-02, eta: 17:26:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8469, top5_acc: 0.9719, loss_cls: 3.3676, loss: 3.3676 2023-12-24 14:47:45,059 - pyskl - INFO - Epoch [80][2100/3405] lr: 1.129e-02, eta: 17:25:36, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8481, top5_acc: 0.9744, loss_cls: 3.3801, loss: 3.3801 2023-12-24 14:48:10,689 - pyskl - INFO - Epoch [80][2200/3405] lr: 1.129e-02, eta: 17:25:10, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8344, top5_acc: 0.9775, loss_cls: 3.3994, loss: 3.3994 2023-12-24 14:48:35,864 - pyskl - INFO - Epoch [80][2300/3405] lr: 1.128e-02, eta: 17:24:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8244, top5_acc: 0.9719, loss_cls: 3.4502, loss: 3.4502 2023-12-24 14:49:01,376 - pyskl - INFO - Epoch [80][2400/3405] lr: 1.127e-02, eta: 17:24:16, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9744, loss_cls: 3.4000, loss: 3.4000 2023-12-24 14:49:26,690 - pyskl - INFO - Epoch [80][2500/3405] lr: 1.126e-02, eta: 17:23:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8363, top5_acc: 0.9750, loss_cls: 3.3930, loss: 3.3930 2023-12-24 14:49:52,937 - pyskl - INFO - Epoch [80][2600/3405] lr: 1.126e-02, eta: 17:23:23, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 3.3517, loss: 3.3517 2023-12-24 14:50:18,268 - pyskl - INFO - Epoch [80][2700/3405] lr: 1.125e-02, eta: 17:22:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8350, top5_acc: 0.9744, loss_cls: 3.3935, loss: 3.3935 2023-12-24 14:50:43,164 - pyskl - INFO - Epoch [80][2800/3405] lr: 1.124e-02, eta: 17:22:28, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9788, loss_cls: 3.3749, loss: 3.3749 2023-12-24 14:51:08,056 - pyskl - INFO - Epoch [80][2900/3405] lr: 1.123e-02, eta: 17:22:01, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8556, top5_acc: 0.9706, loss_cls: 3.3467, loss: 3.3467 2023-12-24 14:51:32,969 - pyskl - INFO - Epoch [80][3000/3405] lr: 1.122e-02, eta: 17:21:34, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8525, top5_acc: 0.9794, loss_cls: 3.3807, loss: 3.3807 2023-12-24 14:51:57,887 - pyskl - INFO - Epoch [80][3100/3405] lr: 1.122e-02, eta: 17:21:07, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9762, loss_cls: 3.3906, loss: 3.3906 2023-12-24 14:52:23,151 - pyskl - INFO - Epoch [80][3200/3405] lr: 1.121e-02, eta: 17:20:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8519, top5_acc: 0.9831, loss_cls: 3.3590, loss: 3.3590 2023-12-24 14:52:48,697 - pyskl - INFO - Epoch [80][3300/3405] lr: 1.120e-02, eta: 17:20:13, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8519, top5_acc: 0.9788, loss_cls: 3.3716, loss: 3.3716 2023-12-24 14:53:14,059 - pyskl - INFO - Epoch [80][3400/3405] lr: 1.119e-02, eta: 17:19:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9738, loss_cls: 3.3746, loss: 3.3746 2023-12-24 14:53:16,102 - pyskl - INFO - Saving checkpoint at 80 epochs 2023-12-24 14:57:40,571 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 14:57:41,198 - pyskl - INFO - top1_acc 0.8057 top5_acc 0.9608 2023-12-24 14:57:41,223 - pyskl - INFO - Epoch(val) [80][3718] top1_acc: 0.8057, top5_acc: 0.9608 2023-12-24 14:58:34,526 - pyskl - INFO - Epoch [81][100/3405] lr: 1.119e-02, eta: 17:19:41, time: 0.533, data_time: 0.279, memory: 5236, top1_acc: 0.8712, top5_acc: 0.9825, loss_cls: 3.3122, loss: 3.3122 2023-12-24 14:58:59,924 - pyskl - INFO - Epoch [81][200/3405] lr: 1.118e-02, eta: 17:19:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8531, top5_acc: 0.9806, loss_cls: 3.3587, loss: 3.3587 2023-12-24 14:59:25,500 - pyskl - INFO - Epoch [81][300/3405] lr: 1.117e-02, eta: 17:18:47, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8738, top5_acc: 0.9819, loss_cls: 3.3257, loss: 3.3257 2023-12-24 14:59:50,629 - pyskl - INFO - Epoch [81][400/3405] lr: 1.116e-02, eta: 17:18:20, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8581, top5_acc: 0.9831, loss_cls: 3.3260, loss: 3.3260 2023-12-24 15:00:16,007 - pyskl - INFO - Epoch [81][500/3405] lr: 1.116e-02, eta: 17:17:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 3.3370, loss: 3.3370 2023-12-24 15:00:41,584 - pyskl - INFO - Epoch [81][600/3405] lr: 1.115e-02, eta: 17:17:27, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8481, top5_acc: 0.9806, loss_cls: 3.3694, loss: 3.3694 2023-12-24 15:01:06,807 - pyskl - INFO - Epoch [81][700/3405] lr: 1.114e-02, eta: 17:17:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9806, loss_cls: 3.3248, loss: 3.3248 2023-12-24 15:01:32,239 - pyskl - INFO - Epoch [81][800/3405] lr: 1.113e-02, eta: 17:16:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9750, loss_cls: 3.4051, loss: 3.4051 2023-12-24 15:01:57,658 - pyskl - INFO - Epoch [81][900/3405] lr: 1.112e-02, eta: 17:16:06, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8606, top5_acc: 0.9762, loss_cls: 3.3538, loss: 3.3538 2023-12-24 15:02:23,047 - pyskl - INFO - Epoch [81][1000/3405] lr: 1.112e-02, eta: 17:15:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8425, top5_acc: 0.9825, loss_cls: 3.3615, loss: 3.3615 2023-12-24 15:02:48,643 - pyskl - INFO - Epoch [81][1100/3405] lr: 1.111e-02, eta: 17:15:12, time: 0.256, data_time: 0.001, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9775, loss_cls: 3.3691, loss: 3.3691 2023-12-24 15:03:14,286 - pyskl - INFO - Epoch [81][1200/3405] lr: 1.110e-02, eta: 17:14:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8550, top5_acc: 0.9756, loss_cls: 3.3726, loss: 3.3726 2023-12-24 15:03:39,765 - pyskl - INFO - Epoch [81][1300/3405] lr: 1.109e-02, eta: 17:14:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 3.3909, loss: 3.3909 2023-12-24 15:04:04,992 - pyskl - INFO - Epoch [81][1400/3405] lr: 1.109e-02, eta: 17:13:52, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8481, top5_acc: 0.9781, loss_cls: 3.3627, loss: 3.3627 2023-12-24 15:04:30,419 - pyskl - INFO - Epoch [81][1500/3405] lr: 1.108e-02, eta: 17:13:25, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8475, top5_acc: 0.9769, loss_cls: 3.3699, loss: 3.3699 2023-12-24 15:04:55,818 - pyskl - INFO - Epoch [81][1600/3405] lr: 1.107e-02, eta: 17:12:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9756, loss_cls: 3.3874, loss: 3.3874 2023-12-24 15:05:21,273 - pyskl - INFO - Epoch [81][1700/3405] lr: 1.106e-02, eta: 17:12:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9694, loss_cls: 3.3841, loss: 3.3841 2023-12-24 15:05:46,621 - pyskl - INFO - Epoch [81][1800/3405] lr: 1.106e-02, eta: 17:12:05, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8544, top5_acc: 0.9762, loss_cls: 3.3504, loss: 3.3504 2023-12-24 15:06:11,978 - pyskl - INFO - Epoch [81][1900/3405] lr: 1.105e-02, eta: 17:11:38, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9794, loss_cls: 3.4303, loss: 3.4303 2023-12-24 15:06:37,450 - pyskl - INFO - Epoch [81][2000/3405] lr: 1.104e-02, eta: 17:11:11, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8500, top5_acc: 0.9775, loss_cls: 3.3775, loss: 3.3775 2023-12-24 15:07:03,100 - pyskl - INFO - Epoch [81][2100/3405] lr: 1.103e-02, eta: 17:10:44, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8531, top5_acc: 0.9781, loss_cls: 3.3636, loss: 3.3636 2023-12-24 15:07:28,559 - pyskl - INFO - Epoch [81][2200/3405] lr: 1.103e-02, eta: 17:10:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 3.3449, loss: 3.3449 2023-12-24 15:07:53,786 - pyskl - INFO - Epoch [81][2300/3405] lr: 1.102e-02, eta: 17:09:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8488, top5_acc: 0.9775, loss_cls: 3.3928, loss: 3.3928 2023-12-24 15:08:19,008 - pyskl - INFO - Epoch [81][2400/3405] lr: 1.101e-02, eta: 17:09:24, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8594, top5_acc: 0.9819, loss_cls: 3.3708, loss: 3.3708 2023-12-24 15:08:44,074 - pyskl - INFO - Epoch [81][2500/3405] lr: 1.100e-02, eta: 17:08:56, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9800, loss_cls: 3.3765, loss: 3.3765 2023-12-24 15:09:09,425 - pyskl - INFO - Epoch [81][2600/3405] lr: 1.099e-02, eta: 17:08:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8469, top5_acc: 0.9794, loss_cls: 3.3736, loss: 3.3736 2023-12-24 15:09:34,888 - pyskl - INFO - Epoch [81][2700/3405] lr: 1.099e-02, eta: 17:08:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8512, top5_acc: 0.9825, loss_cls: 3.3575, loss: 3.3575 2023-12-24 15:09:59,813 - pyskl - INFO - Epoch [81][2800/3405] lr: 1.098e-02, eta: 17:07:36, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8581, top5_acc: 0.9762, loss_cls: 3.3578, loss: 3.3578 2023-12-24 15:10:24,725 - pyskl - INFO - Epoch [81][2900/3405] lr: 1.097e-02, eta: 17:07:08, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8500, top5_acc: 0.9781, loss_cls: 3.3782, loss: 3.3782 2023-12-24 15:10:49,628 - pyskl - INFO - Epoch [81][3000/3405] lr: 1.096e-02, eta: 17:06:41, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9750, loss_cls: 3.3700, loss: 3.3700 2023-12-24 15:11:14,531 - pyskl - INFO - Epoch [81][3100/3405] lr: 1.096e-02, eta: 17:06:14, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8494, top5_acc: 0.9738, loss_cls: 3.3757, loss: 3.3757 2023-12-24 15:11:39,466 - pyskl - INFO - Epoch [81][3200/3405] lr: 1.095e-02, eta: 17:05:47, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9719, loss_cls: 3.3914, loss: 3.3914 2023-12-24 15:12:05,385 - pyskl - INFO - Epoch [81][3300/3405] lr: 1.094e-02, eta: 17:05:20, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8481, top5_acc: 0.9744, loss_cls: 3.3697, loss: 3.3697 2023-12-24 15:12:30,518 - pyskl - INFO - Epoch [81][3400/3405] lr: 1.093e-02, eta: 17:04:53, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8269, top5_acc: 0.9731, loss_cls: 3.4342, loss: 3.4342 2023-12-24 15:12:32,456 - pyskl - INFO - Saving checkpoint at 81 epochs 2023-12-24 15:16:56,940 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 15:16:57,556 - pyskl - INFO - top1_acc 0.7946 top5_acc 0.9583 2023-12-24 15:16:57,581 - pyskl - INFO - Epoch(val) [81][3718] top1_acc: 0.7946, top5_acc: 0.9583 2023-12-24 15:17:51,185 - pyskl - INFO - Epoch [82][100/3405] lr: 1.093e-02, eta: 17:04:48, time: 0.536, data_time: 0.279, memory: 5236, top1_acc: 0.8650, top5_acc: 0.9869, loss_cls: 3.3141, loss: 3.3141 2023-12-24 15:18:16,516 - pyskl - INFO - Epoch [82][200/3405] lr: 1.092e-02, eta: 17:04:21, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9838, loss_cls: 3.3543, loss: 3.3543 2023-12-24 15:18:41,589 - pyskl - INFO - Epoch [82][300/3405] lr: 1.091e-02, eta: 17:03:54, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8500, top5_acc: 0.9794, loss_cls: 3.3555, loss: 3.3555 2023-12-24 15:19:07,275 - pyskl - INFO - Epoch [82][400/3405] lr: 1.090e-02, eta: 17:03:27, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9806, loss_cls: 3.3003, loss: 3.3003 2023-12-24 15:19:33,556 - pyskl - INFO - Epoch [82][500/3405] lr: 1.090e-02, eta: 17:03:01, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9819, loss_cls: 3.3241, loss: 3.3241 2023-12-24 15:19:58,685 - pyskl - INFO - Epoch [82][600/3405] lr: 1.089e-02, eta: 17:02:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9775, loss_cls: 3.3995, loss: 3.3995 2023-12-24 15:20:23,788 - pyskl - INFO - Epoch [82][700/3405] lr: 1.088e-02, eta: 17:02:07, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8500, top5_acc: 0.9788, loss_cls: 3.3689, loss: 3.3689 2023-12-24 15:20:49,042 - pyskl - INFO - Epoch [82][800/3405] lr: 1.087e-02, eta: 17:01:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8538, top5_acc: 0.9781, loss_cls: 3.3656, loss: 3.3656 2023-12-24 15:21:14,429 - pyskl - INFO - Epoch [82][900/3405] lr: 1.086e-02, eta: 17:01:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 3.3633, loss: 3.3633 2023-12-24 15:21:39,767 - pyskl - INFO - Epoch [82][1000/3405] lr: 1.086e-02, eta: 17:00:46, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8606, top5_acc: 0.9844, loss_cls: 3.3317, loss: 3.3317 2023-12-24 15:22:05,328 - pyskl - INFO - Epoch [82][1100/3405] lr: 1.085e-02, eta: 17:00:19, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8431, top5_acc: 0.9781, loss_cls: 3.3866, loss: 3.3866 2023-12-24 15:22:31,067 - pyskl - INFO - Epoch [82][1200/3405] lr: 1.084e-02, eta: 16:59:53, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8519, top5_acc: 0.9788, loss_cls: 3.3563, loss: 3.3563 2023-12-24 15:22:56,240 - pyskl - INFO - Epoch [82][1300/3405] lr: 1.083e-02, eta: 16:59:26, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8331, top5_acc: 0.9812, loss_cls: 3.4002, loss: 3.4002 2023-12-24 15:23:21,592 - pyskl - INFO - Epoch [82][1400/3405] lr: 1.083e-02, eta: 16:58:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8450, top5_acc: 0.9762, loss_cls: 3.3811, loss: 3.3811 2023-12-24 15:23:46,876 - pyskl - INFO - Epoch [82][1500/3405] lr: 1.082e-02, eta: 16:58:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8538, top5_acc: 0.9806, loss_cls: 3.3695, loss: 3.3695 2023-12-24 15:24:12,453 - pyskl - INFO - Epoch [82][1600/3405] lr: 1.081e-02, eta: 16:58:05, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9850, loss_cls: 3.3069, loss: 3.3069 2023-12-24 15:24:38,136 - pyskl - INFO - Epoch [82][1700/3405] lr: 1.080e-02, eta: 16:57:39, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8606, top5_acc: 0.9800, loss_cls: 3.3445, loss: 3.3445 2023-12-24 15:25:03,668 - pyskl - INFO - Epoch [82][1800/3405] lr: 1.080e-02, eta: 16:57:12, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9712, loss_cls: 3.4196, loss: 3.4196 2023-12-24 15:25:29,472 - pyskl - INFO - Epoch [82][1900/3405] lr: 1.079e-02, eta: 16:56:46, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8325, top5_acc: 0.9744, loss_cls: 3.4177, loss: 3.4177 2023-12-24 15:25:55,904 - pyskl - INFO - Epoch [82][2000/3405] lr: 1.078e-02, eta: 16:56:20, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.8450, top5_acc: 0.9725, loss_cls: 3.4051, loss: 3.4051 2023-12-24 15:26:21,515 - pyskl - INFO - Epoch [82][2100/3405] lr: 1.077e-02, eta: 16:55:53, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8500, top5_acc: 0.9838, loss_cls: 3.3601, loss: 3.3601 2023-12-24 15:26:47,174 - pyskl - INFO - Epoch [82][2200/3405] lr: 1.077e-02, eta: 16:55:26, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8450, top5_acc: 0.9850, loss_cls: 3.3716, loss: 3.3716 2023-12-24 15:27:12,615 - pyskl - INFO - Epoch [82][2300/3405] lr: 1.076e-02, eta: 16:55:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8375, top5_acc: 0.9762, loss_cls: 3.4250, loss: 3.4250 2023-12-24 15:27:37,957 - pyskl - INFO - Epoch [82][2400/3405] lr: 1.075e-02, eta: 16:54:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9800, loss_cls: 3.3294, loss: 3.3294 2023-12-24 15:28:03,084 - pyskl - INFO - Epoch [82][2500/3405] lr: 1.074e-02, eta: 16:54:06, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9800, loss_cls: 3.3746, loss: 3.3746 2023-12-24 15:28:28,391 - pyskl - INFO - Epoch [82][2600/3405] lr: 1.074e-02, eta: 16:53:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8500, top5_acc: 0.9806, loss_cls: 3.3733, loss: 3.3733 2023-12-24 15:28:54,245 - pyskl - INFO - Epoch [82][2700/3405] lr: 1.073e-02, eta: 16:53:12, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8431, top5_acc: 0.9812, loss_cls: 3.3909, loss: 3.3909 2023-12-24 15:29:20,153 - pyskl - INFO - Epoch [82][2800/3405] lr: 1.072e-02, eta: 16:52:46, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9731, loss_cls: 3.4057, loss: 3.4057 2023-12-24 15:29:45,345 - pyskl - INFO - Epoch [82][2900/3405] lr: 1.071e-02, eta: 16:52:19, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9831, loss_cls: 3.3788, loss: 3.3788 2023-12-24 15:30:10,555 - pyskl - INFO - Epoch [82][3000/3405] lr: 1.070e-02, eta: 16:51:52, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8337, top5_acc: 0.9812, loss_cls: 3.3989, loss: 3.3989 2023-12-24 15:30:35,997 - pyskl - INFO - Epoch [82][3100/3405] lr: 1.070e-02, eta: 16:51:25, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8306, top5_acc: 0.9756, loss_cls: 3.4154, loss: 3.4154 2023-12-24 15:31:01,262 - pyskl - INFO - Epoch [82][3200/3405] lr: 1.069e-02, eta: 16:50:58, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8519, top5_acc: 0.9781, loss_cls: 3.3579, loss: 3.3579 2023-12-24 15:31:26,819 - pyskl - INFO - Epoch [82][3300/3405] lr: 1.068e-02, eta: 16:50:32, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 3.3919, loss: 3.3919 2023-12-24 15:31:52,338 - pyskl - INFO - Epoch [82][3400/3405] lr: 1.067e-02, eta: 16:50:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8381, top5_acc: 0.9750, loss_cls: 3.4105, loss: 3.4105 2023-12-24 15:31:54,349 - pyskl - INFO - Saving checkpoint at 82 epochs 2023-12-24 15:36:17,861 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 15:36:18,464 - pyskl - INFO - top1_acc 0.7955 top5_acc 0.9595 2023-12-24 15:36:18,489 - pyskl - INFO - Epoch(val) [82][3718] top1_acc: 0.7955, top5_acc: 0.9595 2023-12-24 15:37:12,044 - pyskl - INFO - Epoch [83][100/3405] lr: 1.067e-02, eta: 16:49:59, time: 0.535, data_time: 0.281, memory: 5236, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 3.3126, loss: 3.3126 2023-12-24 15:37:37,010 - pyskl - INFO - Epoch [83][200/3405] lr: 1.066e-02, eta: 16:49:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8644, top5_acc: 0.9838, loss_cls: 3.3066, loss: 3.3066 2023-12-24 15:38:03,234 - pyskl - INFO - Epoch [83][300/3405] lr: 1.065e-02, eta: 16:49:06, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 3.3245, loss: 3.3245 2023-12-24 15:38:29,340 - pyskl - INFO - Epoch [83][400/3405] lr: 1.064e-02, eta: 16:48:39, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 3.2622, loss: 3.2622 2023-12-24 15:38:54,887 - pyskl - INFO - Epoch [83][500/3405] lr: 1.064e-02, eta: 16:48:13, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8669, top5_acc: 0.9825, loss_cls: 3.3013, loss: 3.3013 2023-12-24 15:39:20,300 - pyskl - INFO - Epoch [83][600/3405] lr: 1.063e-02, eta: 16:47:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 3.3103, loss: 3.3103 2023-12-24 15:39:46,074 - pyskl - INFO - Epoch [83][700/3405] lr: 1.062e-02, eta: 16:47:19, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8656, top5_acc: 0.9838, loss_cls: 3.3027, loss: 3.3027 2023-12-24 15:40:11,292 - pyskl - INFO - Epoch [83][800/3405] lr: 1.061e-02, eta: 16:46:52, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 3.3829, loss: 3.3829 2023-12-24 15:40:36,991 - pyskl - INFO - Epoch [83][900/3405] lr: 1.061e-02, eta: 16:46:26, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8556, top5_acc: 0.9881, loss_cls: 3.3172, loss: 3.3172 2023-12-24 15:41:02,528 - pyskl - INFO - Epoch [83][1000/3405] lr: 1.060e-02, eta: 16:45:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8525, top5_acc: 0.9831, loss_cls: 3.3510, loss: 3.3510 2023-12-24 15:41:27,899 - pyskl - INFO - Epoch [83][1100/3405] lr: 1.059e-02, eta: 16:45:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8550, top5_acc: 0.9775, loss_cls: 3.3684, loss: 3.3684 2023-12-24 15:41:53,707 - pyskl - INFO - Epoch [83][1200/3405] lr: 1.058e-02, eta: 16:45:06, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8556, top5_acc: 0.9812, loss_cls: 3.3463, loss: 3.3463 2023-12-24 15:42:19,630 - pyskl - INFO - Epoch [83][1300/3405] lr: 1.058e-02, eta: 16:44:39, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8406, top5_acc: 0.9769, loss_cls: 3.3909, loss: 3.3909 2023-12-24 15:42:46,314 - pyskl - INFO - Epoch [83][1400/3405] lr: 1.057e-02, eta: 16:44:13, time: 0.267, data_time: 0.000, memory: 5236, top1_acc: 0.8494, top5_acc: 0.9788, loss_cls: 3.3615, loss: 3.3615 2023-12-24 15:43:11,958 - pyskl - INFO - Epoch [83][1500/3405] lr: 1.056e-02, eta: 16:43:47, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8450, top5_acc: 0.9812, loss_cls: 3.3763, loss: 3.3763 2023-12-24 15:43:37,156 - pyskl - INFO - Epoch [83][1600/3405] lr: 1.055e-02, eta: 16:43:20, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8544, top5_acc: 0.9812, loss_cls: 3.3543, loss: 3.3543 2023-12-24 15:44:02,732 - pyskl - INFO - Epoch [83][1700/3405] lr: 1.054e-02, eta: 16:42:53, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8394, top5_acc: 0.9719, loss_cls: 3.4097, loss: 3.4097 2023-12-24 15:44:28,071 - pyskl - INFO - Epoch [83][1800/3405] lr: 1.054e-02, eta: 16:42:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8538, top5_acc: 0.9819, loss_cls: 3.3455, loss: 3.3455 2023-12-24 15:44:53,429 - pyskl - INFO - Epoch [83][1900/3405] lr: 1.053e-02, eta: 16:41:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8350, top5_acc: 0.9781, loss_cls: 3.4033, loss: 3.4033 2023-12-24 15:45:18,971 - pyskl - INFO - Epoch [83][2000/3405] lr: 1.052e-02, eta: 16:41:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8462, top5_acc: 0.9812, loss_cls: 3.3623, loss: 3.3623 2023-12-24 15:45:44,357 - pyskl - INFO - Epoch [83][2100/3405] lr: 1.051e-02, eta: 16:41:06, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9731, loss_cls: 3.3553, loss: 3.3553 2023-12-24 15:46:10,050 - pyskl - INFO - Epoch [83][2200/3405] lr: 1.051e-02, eta: 16:40:39, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8581, top5_acc: 0.9806, loss_cls: 3.3339, loss: 3.3339 2023-12-24 15:46:35,308 - pyskl - INFO - Epoch [83][2300/3405] lr: 1.050e-02, eta: 16:40:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9712, loss_cls: 3.4102, loss: 3.4102 2023-12-24 15:47:00,534 - pyskl - INFO - Epoch [83][2400/3405] lr: 1.049e-02, eta: 16:39:45, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8519, top5_acc: 0.9756, loss_cls: 3.3693, loss: 3.3693 2023-12-24 15:47:25,865 - pyskl - INFO - Epoch [83][2500/3405] lr: 1.048e-02, eta: 16:39:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8413, top5_acc: 0.9644, loss_cls: 3.4298, loss: 3.4298 2023-12-24 15:47:51,145 - pyskl - INFO - Epoch [83][2600/3405] lr: 1.048e-02, eta: 16:38:52, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8506, top5_acc: 0.9831, loss_cls: 3.3573, loss: 3.3573 2023-12-24 15:48:16,410 - pyskl - INFO - Epoch [83][2700/3405] lr: 1.047e-02, eta: 16:38:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8531, top5_acc: 0.9769, loss_cls: 3.3768, loss: 3.3768 2023-12-24 15:48:41,852 - pyskl - INFO - Epoch [83][2800/3405] lr: 1.046e-02, eta: 16:37:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8469, top5_acc: 0.9806, loss_cls: 3.3826, loss: 3.3826 2023-12-24 15:49:07,416 - pyskl - INFO - Epoch [83][2900/3405] lr: 1.045e-02, eta: 16:37:31, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 3.3598, loss: 3.3598 2023-12-24 15:49:32,725 - pyskl - INFO - Epoch [83][3000/3405] lr: 1.045e-02, eta: 16:37:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8263, top5_acc: 0.9769, loss_cls: 3.4284, loss: 3.4284 2023-12-24 15:49:57,966 - pyskl - INFO - Epoch [83][3100/3405] lr: 1.044e-02, eta: 16:36:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8562, top5_acc: 0.9819, loss_cls: 3.3566, loss: 3.3566 2023-12-24 15:50:23,031 - pyskl - INFO - Epoch [83][3200/3405] lr: 1.043e-02, eta: 16:36:10, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8344, top5_acc: 0.9781, loss_cls: 3.3739, loss: 3.3739 2023-12-24 15:50:48,132 - pyskl - INFO - Epoch [83][3300/3405] lr: 1.042e-02, eta: 16:35:43, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9756, loss_cls: 3.3781, loss: 3.3781 2023-12-24 15:51:13,845 - pyskl - INFO - Epoch [83][3400/3405] lr: 1.042e-02, eta: 16:35:17, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8287, top5_acc: 0.9831, loss_cls: 3.4003, loss: 3.4003 2023-12-24 15:51:15,796 - pyskl - INFO - Saving checkpoint at 83 epochs 2023-12-24 15:55:40,314 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 15:55:40,922 - pyskl - INFO - top1_acc 0.8031 top5_acc 0.9604 2023-12-24 15:55:40,948 - pyskl - INFO - Epoch(val) [83][3718] top1_acc: 0.8031, top5_acc: 0.9604 2023-12-24 15:56:34,131 - pyskl - INFO - Epoch [84][100/3405] lr: 1.041e-02, eta: 16:35:10, time: 0.532, data_time: 0.278, memory: 5236, top1_acc: 0.8562, top5_acc: 0.9856, loss_cls: 3.3420, loss: 3.3420 2023-12-24 15:56:59,358 - pyskl - INFO - Epoch [84][200/3405] lr: 1.040e-02, eta: 16:34:43, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8569, top5_acc: 0.9788, loss_cls: 3.3496, loss: 3.3496 2023-12-24 15:57:24,660 - pyskl - INFO - Epoch [84][300/3405] lr: 1.039e-02, eta: 16:34:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8631, top5_acc: 0.9812, loss_cls: 3.3272, loss: 3.3272 2023-12-24 15:57:49,917 - pyskl - INFO - Epoch [84][400/3405] lr: 1.039e-02, eta: 16:33:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8650, top5_acc: 0.9781, loss_cls: 3.3441, loss: 3.3441 2023-12-24 15:58:15,306 - pyskl - INFO - Epoch [84][500/3405] lr: 1.038e-02, eta: 16:33:22, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8644, top5_acc: 0.9794, loss_cls: 3.3432, loss: 3.3432 2023-12-24 15:58:40,399 - pyskl - INFO - Epoch [84][600/3405] lr: 1.037e-02, eta: 16:32:55, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8525, top5_acc: 0.9806, loss_cls: 3.3481, loss: 3.3481 2023-12-24 15:59:05,500 - pyskl - INFO - Epoch [84][700/3405] lr: 1.036e-02, eta: 16:32:28, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8562, top5_acc: 0.9756, loss_cls: 3.3765, loss: 3.3765 2023-12-24 15:59:30,563 - pyskl - INFO - Epoch [84][800/3405] lr: 1.035e-02, eta: 16:32:01, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 3.3141, loss: 3.3141 2023-12-24 15:59:55,777 - pyskl - INFO - Epoch [84][900/3405] lr: 1.035e-02, eta: 16:31:34, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8581, top5_acc: 0.9781, loss_cls: 3.3617, loss: 3.3617 2023-12-24 16:00:21,275 - pyskl - INFO - Epoch [84][1000/3405] lr: 1.034e-02, eta: 16:31:08, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8519, top5_acc: 0.9781, loss_cls: 3.3742, loss: 3.3742 2023-12-24 16:00:46,855 - pyskl - INFO - Epoch [84][1100/3405] lr: 1.033e-02, eta: 16:30:41, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8462, top5_acc: 0.9825, loss_cls: 3.3683, loss: 3.3683 2023-12-24 16:01:12,440 - pyskl - INFO - Epoch [84][1200/3405] lr: 1.032e-02, eta: 16:30:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8750, top5_acc: 0.9856, loss_cls: 3.2823, loss: 3.2823 2023-12-24 16:01:38,076 - pyskl - INFO - Epoch [84][1300/3405] lr: 1.032e-02, eta: 16:29:48, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8319, top5_acc: 0.9775, loss_cls: 3.4153, loss: 3.4153 2023-12-24 16:02:03,469 - pyskl - INFO - Epoch [84][1400/3405] lr: 1.031e-02, eta: 16:29:21, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8569, top5_acc: 0.9838, loss_cls: 3.3269, loss: 3.3269 2023-12-24 16:02:28,675 - pyskl - INFO - Epoch [84][1500/3405] lr: 1.030e-02, eta: 16:28:54, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9806, loss_cls: 3.3444, loss: 3.3444 2023-12-24 16:02:54,707 - pyskl - INFO - Epoch [84][1600/3405] lr: 1.029e-02, eta: 16:28:28, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8644, top5_acc: 0.9788, loss_cls: 3.3247, loss: 3.3247 2023-12-24 16:03:20,563 - pyskl - INFO - Epoch [84][1700/3405] lr: 1.029e-02, eta: 16:28:01, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 3.3315, loss: 3.3315 2023-12-24 16:03:45,945 - pyskl - INFO - Epoch [84][1800/3405] lr: 1.028e-02, eta: 16:27:34, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 3.3126, loss: 3.3126 2023-12-24 16:04:11,531 - pyskl - INFO - Epoch [84][1900/3405] lr: 1.027e-02, eta: 16:27:08, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8538, top5_acc: 0.9806, loss_cls: 3.3433, loss: 3.3433 2023-12-24 16:04:37,685 - pyskl - INFO - Epoch [84][2000/3405] lr: 1.026e-02, eta: 16:26:41, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8462, top5_acc: 0.9712, loss_cls: 3.3993, loss: 3.3993 2023-12-24 16:05:03,394 - pyskl - INFO - Epoch [84][2100/3405] lr: 1.026e-02, eta: 16:26:15, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8519, top5_acc: 0.9831, loss_cls: 3.3548, loss: 3.3548 2023-12-24 16:05:28,983 - pyskl - INFO - Epoch [84][2200/3405] lr: 1.025e-02, eta: 16:25:48, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8575, top5_acc: 0.9794, loss_cls: 3.3430, loss: 3.3430 2023-12-24 16:05:54,247 - pyskl - INFO - Epoch [84][2300/3405] lr: 1.024e-02, eta: 16:25:21, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8431, top5_acc: 0.9775, loss_cls: 3.3562, loss: 3.3562 2023-12-24 16:06:19,481 - pyskl - INFO - Epoch [84][2400/3405] lr: 1.023e-02, eta: 16:24:54, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8469, top5_acc: 0.9788, loss_cls: 3.3757, loss: 3.3757 2023-12-24 16:06:44,785 - pyskl - INFO - Epoch [84][2500/3405] lr: 1.023e-02, eta: 16:24:28, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9731, loss_cls: 3.3877, loss: 3.3877 2023-12-24 16:07:10,041 - pyskl - INFO - Epoch [84][2600/3405] lr: 1.022e-02, eta: 16:24:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9762, loss_cls: 3.4019, loss: 3.4019 2023-12-24 16:07:35,674 - pyskl - INFO - Epoch [84][2700/3405] lr: 1.021e-02, eta: 16:23:34, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8156, top5_acc: 0.9769, loss_cls: 3.4306, loss: 3.4306 2023-12-24 16:08:01,131 - pyskl - INFO - Epoch [84][2800/3405] lr: 1.020e-02, eta: 16:23:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8656, top5_acc: 0.9812, loss_cls: 3.3131, loss: 3.3131 2023-12-24 16:08:26,389 - pyskl - INFO - Epoch [84][2900/3405] lr: 1.020e-02, eta: 16:22:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8512, top5_acc: 0.9775, loss_cls: 3.3595, loss: 3.3595 2023-12-24 16:08:52,833 - pyskl - INFO - Epoch [84][3000/3405] lr: 1.019e-02, eta: 16:22:14, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.8525, top5_acc: 0.9738, loss_cls: 3.3623, loss: 3.3623 2023-12-24 16:09:18,103 - pyskl - INFO - Epoch [84][3100/3405] lr: 1.018e-02, eta: 16:21:48, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9762, loss_cls: 3.3737, loss: 3.3737 2023-12-24 16:09:43,531 - pyskl - INFO - Epoch [84][3200/3405] lr: 1.017e-02, eta: 16:21:21, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 3.2795, loss: 3.2795 2023-12-24 16:10:08,801 - pyskl - INFO - Epoch [84][3300/3405] lr: 1.017e-02, eta: 16:20:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8350, top5_acc: 0.9806, loss_cls: 3.3891, loss: 3.3891 2023-12-24 16:10:35,476 - pyskl - INFO - Epoch [84][3400/3405] lr: 1.016e-02, eta: 16:20:28, time: 0.267, data_time: 0.000, memory: 5236, top1_acc: 0.8462, top5_acc: 0.9788, loss_cls: 3.3695, loss: 3.3695 2023-12-24 16:10:37,432 - pyskl - INFO - Saving checkpoint at 84 epochs 2023-12-24 16:15:01,565 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 16:15:02,192 - pyskl - INFO - top1_acc 0.8099 top5_acc 0.9624 2023-12-24 16:15:02,197 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_73.pth was removed 2023-12-24 16:15:02,404 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_84.pth. 2023-12-24 16:15:02,405 - pyskl - INFO - Best top1_acc is 0.8099 at 84 epoch. 2023-12-24 16:15:02,429 - pyskl - INFO - Epoch(val) [84][3718] top1_acc: 0.8099, top5_acc: 0.9624 2023-12-24 16:15:56,254 - pyskl - INFO - Epoch [85][100/3405] lr: 1.015e-02, eta: 16:20:21, time: 0.538, data_time: 0.284, memory: 5236, top1_acc: 0.8638, top5_acc: 0.9894, loss_cls: 3.3059, loss: 3.3059 2023-12-24 16:16:21,553 - pyskl - INFO - Epoch [85][200/3405] lr: 1.014e-02, eta: 16:19:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8638, top5_acc: 0.9875, loss_cls: 3.3006, loss: 3.3006 2023-12-24 16:16:46,560 - pyskl - INFO - Epoch [85][300/3405] lr: 1.014e-02, eta: 16:19:27, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 3.2976, loss: 3.2976 2023-12-24 16:17:12,124 - pyskl - INFO - Epoch [85][400/3405] lr: 1.013e-02, eta: 16:19:01, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8656, top5_acc: 0.9806, loss_cls: 3.3282, loss: 3.3282 2023-12-24 16:17:37,426 - pyskl - INFO - Epoch [85][500/3405] lr: 1.012e-02, eta: 16:18:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8762, top5_acc: 0.9831, loss_cls: 3.2947, loss: 3.2947 2023-12-24 16:18:02,496 - pyskl - INFO - Epoch [85][600/3405] lr: 1.011e-02, eta: 16:18:07, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8669, top5_acc: 0.9806, loss_cls: 3.3130, loss: 3.3130 2023-12-24 16:18:27,947 - pyskl - INFO - Epoch [85][700/3405] lr: 1.010e-02, eta: 16:17:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8506, top5_acc: 0.9800, loss_cls: 3.3570, loss: 3.3570 2023-12-24 16:18:53,150 - pyskl - INFO - Epoch [85][800/3405] lr: 1.010e-02, eta: 16:17:13, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8625, top5_acc: 0.9738, loss_cls: 3.3473, loss: 3.3473 2023-12-24 16:19:18,453 - pyskl - INFO - Epoch [85][900/3405] lr: 1.009e-02, eta: 16:16:46, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9819, loss_cls: 3.3106, loss: 3.3106 2023-12-24 16:19:44,311 - pyskl - INFO - Epoch [85][1000/3405] lr: 1.008e-02, eta: 16:16:20, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8681, top5_acc: 0.9850, loss_cls: 3.3157, loss: 3.3157 2023-12-24 16:20:09,692 - pyskl - INFO - Epoch [85][1100/3405] lr: 1.007e-02, eta: 16:15:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8681, top5_acc: 0.9812, loss_cls: 3.3151, loss: 3.3151 2023-12-24 16:20:36,089 - pyskl - INFO - Epoch [85][1200/3405] lr: 1.007e-02, eta: 16:15:27, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.8612, top5_acc: 0.9806, loss_cls: 3.3267, loss: 3.3267 2023-12-24 16:21:01,704 - pyskl - INFO - Epoch [85][1300/3405] lr: 1.006e-02, eta: 16:15:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 3.2875, loss: 3.2875 2023-12-24 16:21:27,223 - pyskl - INFO - Epoch [85][1400/3405] lr: 1.005e-02, eta: 16:14:34, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9806, loss_cls: 3.3317, loss: 3.3317 2023-12-24 16:21:53,068 - pyskl - INFO - Epoch [85][1500/3405] lr: 1.004e-02, eta: 16:14:07, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8519, top5_acc: 0.9750, loss_cls: 3.3483, loss: 3.3483 2023-12-24 16:22:19,683 - pyskl - INFO - Epoch [85][1600/3405] lr: 1.004e-02, eta: 16:13:41, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9850, loss_cls: 3.3170, loss: 3.3170 2023-12-24 16:22:45,707 - pyskl - INFO - Epoch [85][1700/3405] lr: 1.003e-02, eta: 16:13:15, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8738, top5_acc: 0.9838, loss_cls: 3.2943, loss: 3.2943 2023-12-24 16:23:11,111 - pyskl - INFO - Epoch [85][1800/3405] lr: 1.002e-02, eta: 16:12:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 3.3666, loss: 3.3666 2023-12-24 16:23:36,520 - pyskl - INFO - Epoch [85][1900/3405] lr: 1.001e-02, eta: 16:12:21, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8469, top5_acc: 0.9769, loss_cls: 3.3636, loss: 3.3636 2023-12-24 16:24:02,298 - pyskl - INFO - Epoch [85][2000/3405] lr: 1.001e-02, eta: 16:11:55, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8413, top5_acc: 0.9750, loss_cls: 3.3883, loss: 3.3883 2023-12-24 16:24:27,808 - pyskl - INFO - Epoch [85][2100/3405] lr: 9.999e-03, eta: 16:11:28, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9806, loss_cls: 3.4011, loss: 3.4011 2023-12-24 16:24:53,300 - pyskl - INFO - Epoch [85][2200/3405] lr: 9.992e-03, eta: 16:11:01, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8531, top5_acc: 0.9781, loss_cls: 3.3492, loss: 3.3492 2023-12-24 16:25:19,015 - pyskl - INFO - Epoch [85][2300/3405] lr: 9.984e-03, eta: 16:10:35, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8581, top5_acc: 0.9762, loss_cls: 3.3803, loss: 3.3803 2023-12-24 16:25:44,332 - pyskl - INFO - Epoch [85][2400/3405] lr: 9.977e-03, eta: 16:10:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 3.3376, loss: 3.3376 2023-12-24 16:26:09,706 - pyskl - INFO - Epoch [85][2500/3405] lr: 9.969e-03, eta: 16:09:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8281, top5_acc: 0.9781, loss_cls: 3.4217, loss: 3.4217 2023-12-24 16:26:35,381 - pyskl - INFO - Epoch [85][2600/3405] lr: 9.962e-03, eta: 16:09:15, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8594, top5_acc: 0.9762, loss_cls: 3.3655, loss: 3.3655 2023-12-24 16:27:00,945 - pyskl - INFO - Epoch [85][2700/3405] lr: 9.954e-03, eta: 16:08:48, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9719, loss_cls: 3.3690, loss: 3.3690 2023-12-24 16:27:26,442 - pyskl - INFO - Epoch [85][2800/3405] lr: 9.947e-03, eta: 16:08:21, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8625, top5_acc: 0.9869, loss_cls: 3.3069, loss: 3.3069 2023-12-24 16:27:51,817 - pyskl - INFO - Epoch [85][2900/3405] lr: 9.939e-03, eta: 16:07:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8606, top5_acc: 0.9788, loss_cls: 3.3358, loss: 3.3358 2023-12-24 16:28:16,924 - pyskl - INFO - Epoch [85][3000/3405] lr: 9.932e-03, eta: 16:07:27, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 3.3496, loss: 3.3496 2023-12-24 16:28:42,021 - pyskl - INFO - Epoch [85][3100/3405] lr: 9.924e-03, eta: 16:07:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8506, top5_acc: 0.9762, loss_cls: 3.3739, loss: 3.3739 2023-12-24 16:29:07,088 - pyskl - INFO - Epoch [85][3200/3405] lr: 9.917e-03, eta: 16:06:33, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8512, top5_acc: 0.9838, loss_cls: 3.3518, loss: 3.3518 2023-12-24 16:29:32,010 - pyskl - INFO - Epoch [85][3300/3405] lr: 9.909e-03, eta: 16:06:06, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8244, top5_acc: 0.9800, loss_cls: 3.3933, loss: 3.3933 2023-12-24 16:29:57,300 - pyskl - INFO - Epoch [85][3400/3405] lr: 9.902e-03, eta: 16:05:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9744, loss_cls: 3.3994, loss: 3.3994 2023-12-24 16:29:59,309 - pyskl - INFO - Saving checkpoint at 85 epochs 2023-12-24 16:34:24,763 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 16:34:25,362 - pyskl - INFO - top1_acc 0.8099 top5_acc 0.9629 2023-12-24 16:34:25,387 - pyskl - INFO - Epoch(val) [85][3718] top1_acc: 0.8099, top5_acc: 0.9629 2023-12-24 16:35:19,079 - pyskl - INFO - Epoch [86][100/3405] lr: 9.894e-03, eta: 16:05:32, time: 0.537, data_time: 0.283, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9844, loss_cls: 3.3145, loss: 3.3145 2023-12-24 16:35:44,366 - pyskl - INFO - Epoch [86][200/3405] lr: 9.886e-03, eta: 16:05:05, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8875, top5_acc: 0.9844, loss_cls: 3.2816, loss: 3.2816 2023-12-24 16:36:09,426 - pyskl - INFO - Epoch [86][300/3405] lr: 9.879e-03, eta: 16:04:38, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8544, top5_acc: 0.9800, loss_cls: 3.3244, loss: 3.3244 2023-12-24 16:36:34,614 - pyskl - INFO - Epoch [86][400/3405] lr: 9.871e-03, eta: 16:04:11, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 3.2862, loss: 3.2862 2023-12-24 16:36:59,777 - pyskl - INFO - Epoch [86][500/3405] lr: 9.864e-03, eta: 16:03:44, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8800, top5_acc: 0.9850, loss_cls: 3.2838, loss: 3.2838 2023-12-24 16:37:24,988 - pyskl - INFO - Epoch [86][600/3405] lr: 9.856e-03, eta: 16:03:17, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8706, top5_acc: 0.9862, loss_cls: 3.3088, loss: 3.3088 2023-12-24 16:37:50,254 - pyskl - INFO - Epoch [86][700/3405] lr: 9.849e-03, eta: 16:02:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8569, top5_acc: 0.9775, loss_cls: 3.3444, loss: 3.3444 2023-12-24 16:38:15,571 - pyskl - INFO - Epoch [86][800/3405] lr: 9.841e-03, eta: 16:02:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 3.3505, loss: 3.3505 2023-12-24 16:38:40,852 - pyskl - INFO - Epoch [86][900/3405] lr: 9.834e-03, eta: 16:01:57, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8638, top5_acc: 0.9844, loss_cls: 3.3143, loss: 3.3143 2023-12-24 16:39:06,343 - pyskl - INFO - Epoch [86][1000/3405] lr: 9.826e-03, eta: 16:01:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8556, top5_acc: 0.9875, loss_cls: 3.3190, loss: 3.3190 2023-12-24 16:39:31,856 - pyskl - INFO - Epoch [86][1100/3405] lr: 9.819e-03, eta: 16:01:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9819, loss_cls: 3.3590, loss: 3.3590 2023-12-24 16:39:57,554 - pyskl - INFO - Epoch [86][1200/3405] lr: 9.811e-03, eta: 16:00:37, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8562, top5_acc: 0.9850, loss_cls: 3.3340, loss: 3.3340 2023-12-24 16:40:22,915 - pyskl - INFO - Epoch [86][1300/3405] lr: 9.803e-03, eta: 16:00:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9844, loss_cls: 3.3199, loss: 3.3199 2023-12-24 16:40:48,186 - pyskl - INFO - Epoch [86][1400/3405] lr: 9.796e-03, eta: 15:59:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8719, top5_acc: 0.9806, loss_cls: 3.3082, loss: 3.3082 2023-12-24 16:41:13,635 - pyskl - INFO - Epoch [86][1500/3405] lr: 9.788e-03, eta: 15:59:16, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 3.3092, loss: 3.3092 2023-12-24 16:41:39,516 - pyskl - INFO - Epoch [86][1600/3405] lr: 9.781e-03, eta: 15:58:50, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 3.3884, loss: 3.3884 2023-12-24 16:42:05,288 - pyskl - INFO - Epoch [86][1700/3405] lr: 9.773e-03, eta: 15:58:23, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8612, top5_acc: 0.9856, loss_cls: 3.3217, loss: 3.3217 2023-12-24 16:42:31,085 - pyskl - INFO - Epoch [86][1800/3405] lr: 9.766e-03, eta: 15:57:57, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8688, top5_acc: 0.9775, loss_cls: 3.3166, loss: 3.3166 2023-12-24 16:42:56,466 - pyskl - INFO - Epoch [86][1900/3405] lr: 9.758e-03, eta: 15:57:30, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8688, top5_acc: 0.9800, loss_cls: 3.3238, loss: 3.3238 2023-12-24 16:43:21,955 - pyskl - INFO - Epoch [86][2000/3405] lr: 9.751e-03, eta: 15:57:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8481, top5_acc: 0.9806, loss_cls: 3.3691, loss: 3.3691 2023-12-24 16:43:47,241 - pyskl - INFO - Epoch [86][2100/3405] lr: 9.743e-03, eta: 15:56:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9869, loss_cls: 3.3405, loss: 3.3405 2023-12-24 16:44:12,557 - pyskl - INFO - Epoch [86][2200/3405] lr: 9.736e-03, eta: 15:56:10, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 3.3508, loss: 3.3508 2023-12-24 16:44:38,285 - pyskl - INFO - Epoch [86][2300/3405] lr: 9.728e-03, eta: 15:55:43, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8594, top5_acc: 0.9788, loss_cls: 3.3272, loss: 3.3272 2023-12-24 16:45:04,034 - pyskl - INFO - Epoch [86][2400/3405] lr: 9.721e-03, eta: 15:55:17, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8456, top5_acc: 0.9731, loss_cls: 3.3823, loss: 3.3823 2023-12-24 16:45:29,334 - pyskl - INFO - Epoch [86][2500/3405] lr: 9.713e-03, eta: 15:54:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8462, top5_acc: 0.9844, loss_cls: 3.3528, loss: 3.3528 2023-12-24 16:45:54,648 - pyskl - INFO - Epoch [86][2600/3405] lr: 9.706e-03, eta: 15:54:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8413, top5_acc: 0.9744, loss_cls: 3.3933, loss: 3.3933 2023-12-24 16:46:19,923 - pyskl - INFO - Epoch [86][2700/3405] lr: 9.698e-03, eta: 15:53:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9794, loss_cls: 3.3397, loss: 3.3397 2023-12-24 16:46:45,234 - pyskl - INFO - Epoch [86][2800/3405] lr: 9.691e-03, eta: 15:53:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8387, top5_acc: 0.9750, loss_cls: 3.3768, loss: 3.3768 2023-12-24 16:47:11,179 - pyskl - INFO - Epoch [86][2900/3405] lr: 9.684e-03, eta: 15:53:03, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 3.3575, loss: 3.3575 2023-12-24 16:47:37,666 - pyskl - INFO - Epoch [86][3000/3405] lr: 9.676e-03, eta: 15:52:37, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8800, top5_acc: 0.9819, loss_cls: 3.2933, loss: 3.2933 2023-12-24 16:48:04,194 - pyskl - INFO - Epoch [86][3100/3405] lr: 9.669e-03, eta: 15:52:11, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8594, top5_acc: 0.9800, loss_cls: 3.3449, loss: 3.3449 2023-12-24 16:48:30,683 - pyskl - INFO - Epoch [86][3200/3405] lr: 9.661e-03, eta: 15:51:45, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8375, top5_acc: 0.9781, loss_cls: 3.3844, loss: 3.3844 2023-12-24 16:48:57,144 - pyskl - INFO - Epoch [86][3300/3405] lr: 9.654e-03, eta: 15:51:19, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 3.3424, loss: 3.3424 2023-12-24 16:49:23,736 - pyskl - INFO - Epoch [86][3400/3405] lr: 9.646e-03, eta: 15:50:53, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.8406, top5_acc: 0.9831, loss_cls: 3.3714, loss: 3.3714 2023-12-24 16:49:25,886 - pyskl - INFO - Saving checkpoint at 86 epochs 2023-12-24 16:53:51,253 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 16:53:51,867 - pyskl - INFO - top1_acc 0.8131 top5_acc 0.9640 2023-12-24 16:53:51,872 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_84.pth was removed 2023-12-24 16:53:52,081 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. 2023-12-24 16:53:52,082 - pyskl - INFO - Best top1_acc is 0.8131 at 86 epoch. 2023-12-24 16:53:52,109 - pyskl - INFO - Epoch(val) [86][3718] top1_acc: 0.8131, top5_acc: 0.9640 2023-12-24 16:54:45,915 - pyskl - INFO - Epoch [87][100/3405] lr: 9.638e-03, eta: 15:50:45, time: 0.538, data_time: 0.287, memory: 5236, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 3.2567, loss: 3.2567 2023-12-24 16:55:11,203 - pyskl - INFO - Epoch [87][200/3405] lr: 9.631e-03, eta: 15:50:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8675, top5_acc: 0.9819, loss_cls: 3.3214, loss: 3.3214 2023-12-24 16:55:36,715 - pyskl - INFO - Epoch [87][300/3405] lr: 9.623e-03, eta: 15:49:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8656, top5_acc: 0.9794, loss_cls: 3.3179, loss: 3.3179 2023-12-24 16:56:01,984 - pyskl - INFO - Epoch [87][400/3405] lr: 9.616e-03, eta: 15:49:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 3.2798, loss: 3.2798 2023-12-24 16:56:27,104 - pyskl - INFO - Epoch [87][500/3405] lr: 9.608e-03, eta: 15:48:58, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 3.3230, loss: 3.3230 2023-12-24 16:56:52,224 - pyskl - INFO - Epoch [87][600/3405] lr: 9.601e-03, eta: 15:48:31, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8719, top5_acc: 0.9856, loss_cls: 3.2811, loss: 3.2811 2023-12-24 16:57:17,693 - pyskl - INFO - Epoch [87][700/3405] lr: 9.593e-03, eta: 15:48:04, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 3.3304, loss: 3.3304 2023-12-24 16:57:42,962 - pyskl - INFO - Epoch [87][800/3405] lr: 9.586e-03, eta: 15:47:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8581, top5_acc: 0.9800, loss_cls: 3.3153, loss: 3.3153 2023-12-24 16:58:08,020 - pyskl - INFO - Epoch [87][900/3405] lr: 9.578e-03, eta: 15:47:10, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8719, top5_acc: 0.9850, loss_cls: 3.2836, loss: 3.2836 2023-12-24 16:58:33,422 - pyskl - INFO - Epoch [87][1000/3405] lr: 9.571e-03, eta: 15:46:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8650, top5_acc: 0.9856, loss_cls: 3.3285, loss: 3.3285 2023-12-24 16:58:58,781 - pyskl - INFO - Epoch [87][1100/3405] lr: 9.563e-03, eta: 15:46:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 3.2535, loss: 3.2535 2023-12-24 16:59:24,748 - pyskl - INFO - Epoch [87][1200/3405] lr: 9.556e-03, eta: 15:45:50, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8681, top5_acc: 0.9812, loss_cls: 3.3099, loss: 3.3099 2023-12-24 16:59:50,652 - pyskl - INFO - Epoch [87][1300/3405] lr: 9.548e-03, eta: 15:45:24, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9769, loss_cls: 3.3331, loss: 3.3331 2023-12-24 17:00:16,390 - pyskl - INFO - Epoch [87][1400/3405] lr: 9.541e-03, eta: 15:44:58, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9831, loss_cls: 3.3277, loss: 3.3277 2023-12-24 17:00:41,760 - pyskl - INFO - Epoch [87][1500/3405] lr: 9.534e-03, eta: 15:44:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8738, top5_acc: 0.9781, loss_cls: 3.3162, loss: 3.3162 2023-12-24 17:01:07,048 - pyskl - INFO - Epoch [87][1600/3405] lr: 9.526e-03, eta: 15:44:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8444, top5_acc: 0.9856, loss_cls: 3.3499, loss: 3.3499 2023-12-24 17:01:32,619 - pyskl - INFO - Epoch [87][1700/3405] lr: 9.519e-03, eta: 15:43:37, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 3.3577, loss: 3.3577 2023-12-24 17:01:58,550 - pyskl - INFO - Epoch [87][1800/3405] lr: 9.511e-03, eta: 15:43:11, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8494, top5_acc: 0.9838, loss_cls: 3.3438, loss: 3.3438 2023-12-24 17:02:23,961 - pyskl - INFO - Epoch [87][1900/3405] lr: 9.504e-03, eta: 15:42:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8538, top5_acc: 0.9819, loss_cls: 3.3554, loss: 3.3554 2023-12-24 17:02:50,093 - pyskl - INFO - Epoch [87][2000/3405] lr: 9.496e-03, eta: 15:42:18, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8387, top5_acc: 0.9788, loss_cls: 3.3998, loss: 3.3998 2023-12-24 17:03:15,849 - pyskl - INFO - Epoch [87][2100/3405] lr: 9.489e-03, eta: 15:41:51, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8550, top5_acc: 0.9831, loss_cls: 3.3169, loss: 3.3169 2023-12-24 17:03:41,189 - pyskl - INFO - Epoch [87][2200/3405] lr: 9.481e-03, eta: 15:41:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9888, loss_cls: 3.3119, loss: 3.3119 2023-12-24 17:04:06,449 - pyskl - INFO - Epoch [87][2300/3405] lr: 9.474e-03, eta: 15:40:58, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9819, loss_cls: 3.3235, loss: 3.3235 2023-12-24 17:04:31,442 - pyskl - INFO - Epoch [87][2400/3405] lr: 9.466e-03, eta: 15:40:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8556, top5_acc: 0.9844, loss_cls: 3.3518, loss: 3.3518 2023-12-24 17:04:56,610 - pyskl - INFO - Epoch [87][2500/3405] lr: 9.459e-03, eta: 15:40:04, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8544, top5_acc: 0.9775, loss_cls: 3.3607, loss: 3.3607 2023-12-24 17:05:21,861 - pyskl - INFO - Epoch [87][2600/3405] lr: 9.451e-03, eta: 15:39:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8356, top5_acc: 0.9781, loss_cls: 3.3961, loss: 3.3961 2023-12-24 17:05:47,231 - pyskl - INFO - Epoch [87][2700/3405] lr: 9.444e-03, eta: 15:39:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9775, loss_cls: 3.3447, loss: 3.3447 2023-12-24 17:06:12,510 - pyskl - INFO - Epoch [87][2800/3405] lr: 9.437e-03, eta: 15:38:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 3.3457, loss: 3.3457 2023-12-24 17:06:37,769 - pyskl - INFO - Epoch [87][2900/3405] lr: 9.429e-03, eta: 15:38:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8531, top5_acc: 0.9838, loss_cls: 3.3502, loss: 3.3502 2023-12-24 17:07:03,063 - pyskl - INFO - Epoch [87][3000/3405] lr: 9.422e-03, eta: 15:37:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8688, top5_acc: 0.9819, loss_cls: 3.3322, loss: 3.3322 2023-12-24 17:07:28,220 - pyskl - INFO - Epoch [87][3100/3405] lr: 9.414e-03, eta: 15:37:23, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8681, top5_acc: 0.9819, loss_cls: 3.3290, loss: 3.3290 2023-12-24 17:07:53,473 - pyskl - INFO - Epoch [87][3200/3405] lr: 9.407e-03, eta: 15:36:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9862, loss_cls: 3.3066, loss: 3.3066 2023-12-24 17:08:18,777 - pyskl - INFO - Epoch [87][3300/3405] lr: 9.399e-03, eta: 15:36:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9756, loss_cls: 3.3893, loss: 3.3893 2023-12-24 17:08:44,068 - pyskl - INFO - Epoch [87][3400/3405] lr: 9.392e-03, eta: 15:36:02, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8650, top5_acc: 0.9831, loss_cls: 3.3278, loss: 3.3278 2023-12-24 17:08:46,018 - pyskl - INFO - Saving checkpoint at 87 epochs 2023-12-24 17:13:11,075 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 17:13:11,677 - pyskl - INFO - top1_acc 0.8193 top5_acc 0.9640 2023-12-24 17:13:11,682 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_86.pth was removed 2023-12-24 17:13:11,891 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. 2023-12-24 17:13:11,892 - pyskl - INFO - Best top1_acc is 0.8193 at 87 epoch. 2023-12-24 17:13:11,918 - pyskl - INFO - Epoch(val) [87][3718] top1_acc: 0.8193, top5_acc: 0.9640 2023-12-24 17:14:05,853 - pyskl - INFO - Epoch [88][100/3405] lr: 9.384e-03, eta: 15:35:54, time: 0.539, data_time: 0.284, memory: 5236, top1_acc: 0.8706, top5_acc: 0.9912, loss_cls: 3.2946, loss: 3.2946 2023-12-24 17:14:31,195 - pyskl - INFO - Epoch [88][200/3405] lr: 9.377e-03, eta: 15:35:27, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 3.2475, loss: 3.2475 2023-12-24 17:14:56,478 - pyskl - INFO - Epoch [88][300/3405] lr: 9.369e-03, eta: 15:35:00, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9862, loss_cls: 3.2791, loss: 3.2791 2023-12-24 17:15:22,132 - pyskl - INFO - Epoch [88][400/3405] lr: 9.362e-03, eta: 15:34:34, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8762, top5_acc: 0.9862, loss_cls: 3.3026, loss: 3.3026 2023-12-24 17:15:47,293 - pyskl - INFO - Epoch [88][500/3405] lr: 9.354e-03, eta: 15:34:07, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8475, top5_acc: 0.9800, loss_cls: 3.3432, loss: 3.3432 2023-12-24 17:16:12,643 - pyskl - INFO - Epoch [88][600/3405] lr: 9.347e-03, eta: 15:33:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8625, top5_acc: 0.9844, loss_cls: 3.3179, loss: 3.3179 2023-12-24 17:16:37,900 - pyskl - INFO - Epoch [88][700/3405] lr: 9.339e-03, eta: 15:33:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8800, top5_acc: 0.9825, loss_cls: 3.2841, loss: 3.2841 2023-12-24 17:17:03,360 - pyskl - INFO - Epoch [88][800/3405] lr: 9.332e-03, eta: 15:32:46, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9850, loss_cls: 3.3071, loss: 3.3071 2023-12-24 17:17:28,652 - pyskl - INFO - Epoch [88][900/3405] lr: 9.324e-03, eta: 15:32:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8769, top5_acc: 0.9844, loss_cls: 3.3051, loss: 3.3051 2023-12-24 17:17:54,084 - pyskl - INFO - Epoch [88][1000/3405] lr: 9.317e-03, eta: 15:31:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 3.3400, loss: 3.3400 2023-12-24 17:18:19,903 - pyskl - INFO - Epoch [88][1100/3405] lr: 9.310e-03, eta: 15:31:26, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8656, top5_acc: 0.9812, loss_cls: 3.3210, loss: 3.3210 2023-12-24 17:18:45,655 - pyskl - INFO - Epoch [88][1200/3405] lr: 9.302e-03, eta: 15:31:00, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8775, top5_acc: 0.9806, loss_cls: 3.2996, loss: 3.2996 2023-12-24 17:19:11,402 - pyskl - INFO - Epoch [88][1300/3405] lr: 9.295e-03, eta: 15:30:33, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9812, loss_cls: 3.3082, loss: 3.3082 2023-12-24 17:19:36,876 - pyskl - INFO - Epoch [88][1400/3405] lr: 9.287e-03, eta: 15:30:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8688, top5_acc: 0.9788, loss_cls: 3.3197, loss: 3.3197 2023-12-24 17:20:02,564 - pyskl - INFO - Epoch [88][1500/3405] lr: 9.280e-03, eta: 15:29:40, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8694, top5_acc: 0.9869, loss_cls: 3.3129, loss: 3.3129 2023-12-24 17:20:27,622 - pyskl - INFO - Epoch [88][1600/3405] lr: 9.272e-03, eta: 15:29:13, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8788, top5_acc: 0.9888, loss_cls: 3.2830, loss: 3.2830 2023-12-24 17:20:53,520 - pyskl - INFO - Epoch [88][1700/3405] lr: 9.265e-03, eta: 15:28:47, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8769, top5_acc: 0.9869, loss_cls: 3.2772, loss: 3.2772 2023-12-24 17:21:19,160 - pyskl - INFO - Epoch [88][1800/3405] lr: 9.258e-03, eta: 15:28:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 3.2937, loss: 3.2937 2023-12-24 17:21:44,625 - pyskl - INFO - Epoch [88][1900/3405] lr: 9.250e-03, eta: 15:27:53, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8506, top5_acc: 0.9775, loss_cls: 3.3626, loss: 3.3626 2023-12-24 17:22:10,685 - pyskl - INFO - Epoch [88][2000/3405] lr: 9.243e-03, eta: 15:27:27, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8550, top5_acc: 0.9744, loss_cls: 3.3605, loss: 3.3605 2023-12-24 17:22:36,245 - pyskl - INFO - Epoch [88][2100/3405] lr: 9.235e-03, eta: 15:27:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 3.3157, loss: 3.3157 2023-12-24 17:23:01,622 - pyskl - INFO - Epoch [88][2200/3405] lr: 9.228e-03, eta: 15:26:34, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8738, top5_acc: 0.9838, loss_cls: 3.3016, loss: 3.3016 2023-12-24 17:23:27,421 - pyskl - INFO - Epoch [88][2300/3405] lr: 9.220e-03, eta: 15:26:07, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9806, loss_cls: 3.3192, loss: 3.3192 2023-12-24 17:23:52,670 - pyskl - INFO - Epoch [88][2400/3405] lr: 9.213e-03, eta: 15:25:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8775, top5_acc: 0.9794, loss_cls: 3.2987, loss: 3.2987 2023-12-24 17:24:17,848 - pyskl - INFO - Epoch [88][2500/3405] lr: 9.206e-03, eta: 15:25:13, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8562, top5_acc: 0.9800, loss_cls: 3.3474, loss: 3.3474 2023-12-24 17:24:43,047 - pyskl - INFO - Epoch [88][2600/3405] lr: 9.198e-03, eta: 15:24:47, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8675, top5_acc: 0.9844, loss_cls: 3.3149, loss: 3.3149 2023-12-24 17:25:08,284 - pyskl - INFO - Epoch [88][2700/3405] lr: 9.191e-03, eta: 15:24:20, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8519, top5_acc: 0.9756, loss_cls: 3.3457, loss: 3.3457 2023-12-24 17:25:33,610 - pyskl - INFO - Epoch [88][2800/3405] lr: 9.183e-03, eta: 15:23:53, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9775, loss_cls: 3.3434, loss: 3.3434 2023-12-24 17:25:59,311 - pyskl - INFO - Epoch [88][2900/3405] lr: 9.176e-03, eta: 15:23:26, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8538, top5_acc: 0.9838, loss_cls: 3.3573, loss: 3.3573 2023-12-24 17:26:24,427 - pyskl - INFO - Epoch [88][3000/3405] lr: 9.169e-03, eta: 15:23:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8550, top5_acc: 0.9825, loss_cls: 3.3385, loss: 3.3385 2023-12-24 17:26:50,104 - pyskl - INFO - Epoch [88][3100/3405] lr: 9.161e-03, eta: 15:22:33, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8719, top5_acc: 0.9775, loss_cls: 3.3172, loss: 3.3172 2023-12-24 17:27:16,543 - pyskl - INFO - Epoch [88][3200/3405] lr: 9.154e-03, eta: 15:22:07, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.8556, top5_acc: 0.9825, loss_cls: 3.3245, loss: 3.3245 2023-12-24 17:27:42,670 - pyskl - INFO - Epoch [88][3300/3405] lr: 9.146e-03, eta: 15:21:41, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8369, top5_acc: 0.9750, loss_cls: 3.3864, loss: 3.3864 2023-12-24 17:28:07,766 - pyskl - INFO - Epoch [88][3400/3405] lr: 9.139e-03, eta: 15:21:14, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9794, loss_cls: 3.3376, loss: 3.3376 2023-12-24 17:28:09,876 - pyskl - INFO - Saving checkpoint at 88 epochs 2023-12-24 17:32:34,084 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 17:32:34,688 - pyskl - INFO - top1_acc 0.7984 top5_acc 0.9561 2023-12-24 17:32:34,713 - pyskl - INFO - Epoch(val) [88][3718] top1_acc: 0.7984, top5_acc: 0.9561 2023-12-24 17:33:28,648 - pyskl - INFO - Epoch [89][100/3405] lr: 9.131e-03, eta: 15:21:05, time: 0.539, data_time: 0.286, memory: 5236, top1_acc: 0.8850, top5_acc: 0.9838, loss_cls: 3.2752, loss: 3.2752 2023-12-24 17:33:54,046 - pyskl - INFO - Epoch [89][200/3405] lr: 9.124e-03, eta: 15:20:38, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8850, top5_acc: 0.9831, loss_cls: 3.2638, loss: 3.2638 2023-12-24 17:34:19,457 - pyskl - INFO - Epoch [89][300/3405] lr: 9.116e-03, eta: 15:20:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8650, top5_acc: 0.9825, loss_cls: 3.3022, loss: 3.3022 2023-12-24 17:34:44,763 - pyskl - INFO - Epoch [89][400/3405] lr: 9.109e-03, eta: 15:19:45, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8656, top5_acc: 0.9781, loss_cls: 3.3106, loss: 3.3106 2023-12-24 17:35:09,960 - pyskl - INFO - Epoch [89][500/3405] lr: 9.102e-03, eta: 15:19:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8594, top5_acc: 0.9781, loss_cls: 3.3474, loss: 3.3474 2023-12-24 17:35:34,893 - pyskl - INFO - Epoch [89][600/3405] lr: 9.094e-03, eta: 15:18:51, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8675, top5_acc: 0.9806, loss_cls: 3.3098, loss: 3.3098 2023-12-24 17:36:00,148 - pyskl - INFO - Epoch [89][700/3405] lr: 9.087e-03, eta: 15:18:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 3.3042, loss: 3.3042 2023-12-24 17:36:25,212 - pyskl - INFO - Epoch [89][800/3405] lr: 9.079e-03, eta: 15:17:57, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8625, top5_acc: 0.9812, loss_cls: 3.3060, loss: 3.3060 2023-12-24 17:36:50,735 - pyskl - INFO - Epoch [89][900/3405] lr: 9.072e-03, eta: 15:17:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8831, top5_acc: 0.9850, loss_cls: 3.2859, loss: 3.2859 2023-12-24 17:37:16,173 - pyskl - INFO - Epoch [89][1000/3405] lr: 9.065e-03, eta: 15:17:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8675, top5_acc: 0.9838, loss_cls: 3.2981, loss: 3.2981 2023-12-24 17:37:41,571 - pyskl - INFO - Epoch [89][1100/3405] lr: 9.057e-03, eta: 15:16:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 3.3450, loss: 3.3450 2023-12-24 17:38:07,179 - pyskl - INFO - Epoch [89][1200/3405] lr: 9.050e-03, eta: 15:16:10, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8856, top5_acc: 0.9856, loss_cls: 3.2536, loss: 3.2536 2023-12-24 17:38:32,795 - pyskl - INFO - Epoch [89][1300/3405] lr: 9.042e-03, eta: 15:15:44, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8644, top5_acc: 0.9800, loss_cls: 3.3064, loss: 3.3064 2023-12-24 17:38:58,441 - pyskl - INFO - Epoch [89][1400/3405] lr: 9.035e-03, eta: 15:15:17, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 3.2616, loss: 3.2616 2023-12-24 17:39:23,873 - pyskl - INFO - Epoch [89][1500/3405] lr: 9.028e-03, eta: 15:14:50, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 3.3001, loss: 3.3001 2023-12-24 17:39:49,132 - pyskl - INFO - Epoch [89][1600/3405] lr: 9.020e-03, eta: 15:14:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9800, loss_cls: 3.3251, loss: 3.3251 2023-12-24 17:40:14,508 - pyskl - INFO - Epoch [89][1700/3405] lr: 9.013e-03, eta: 15:13:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8569, top5_acc: 0.9844, loss_cls: 3.3190, loss: 3.3190 2023-12-24 17:40:40,086 - pyskl - INFO - Epoch [89][1800/3405] lr: 9.005e-03, eta: 15:13:30, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9862, loss_cls: 3.3308, loss: 3.3308 2023-12-24 17:41:05,629 - pyskl - INFO - Epoch [89][1900/3405] lr: 8.998e-03, eta: 15:13:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8631, top5_acc: 0.9819, loss_cls: 3.3352, loss: 3.3352 2023-12-24 17:41:31,242 - pyskl - INFO - Epoch [89][2000/3405] lr: 8.991e-03, eta: 15:12:37, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 3.3141, loss: 3.3141 2023-12-24 17:41:56,915 - pyskl - INFO - Epoch [89][2100/3405] lr: 8.983e-03, eta: 15:12:10, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8450, top5_acc: 0.9788, loss_cls: 3.3686, loss: 3.3686 2023-12-24 17:42:22,295 - pyskl - INFO - Epoch [89][2200/3405] lr: 8.976e-03, eta: 15:11:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 3.3402, loss: 3.3402 2023-12-24 17:42:48,038 - pyskl - INFO - Epoch [89][2300/3405] lr: 8.969e-03, eta: 15:11:17, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9844, loss_cls: 3.3100, loss: 3.3100 2023-12-24 17:43:13,321 - pyskl - INFO - Epoch [89][2400/3405] lr: 8.961e-03, eta: 15:10:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8606, top5_acc: 0.9825, loss_cls: 3.3166, loss: 3.3166 2023-12-24 17:43:38,832 - pyskl - INFO - Epoch [89][2500/3405] lr: 8.954e-03, eta: 15:10:24, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8525, top5_acc: 0.9812, loss_cls: 3.3479, loss: 3.3479 2023-12-24 17:44:04,268 - pyskl - INFO - Epoch [89][2600/3405] lr: 8.946e-03, eta: 15:09:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8631, top5_acc: 0.9775, loss_cls: 3.3133, loss: 3.3133 2023-12-24 17:44:29,438 - pyskl - INFO - Epoch [89][2700/3405] lr: 8.939e-03, eta: 15:09:30, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9819, loss_cls: 3.3297, loss: 3.3297 2023-12-24 17:44:54,520 - pyskl - INFO - Epoch [89][2800/3405] lr: 8.932e-03, eta: 15:09:03, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 3.3083, loss: 3.3083 2023-12-24 17:45:19,924 - pyskl - INFO - Epoch [89][2900/3405] lr: 8.924e-03, eta: 15:08:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8800, top5_acc: 0.9806, loss_cls: 3.2893, loss: 3.2893 2023-12-24 17:45:45,138 - pyskl - INFO - Epoch [89][3000/3405] lr: 8.917e-03, eta: 15:08:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8781, top5_acc: 0.9906, loss_cls: 3.2668, loss: 3.2668 2023-12-24 17:46:10,378 - pyskl - INFO - Epoch [89][3100/3405] lr: 8.910e-03, eta: 15:07:43, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9806, loss_cls: 3.3384, loss: 3.3384 2023-12-24 17:46:35,722 - pyskl - INFO - Epoch [89][3200/3405] lr: 8.902e-03, eta: 15:07:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8612, top5_acc: 0.9794, loss_cls: 3.3373, loss: 3.3373 2023-12-24 17:47:01,269 - pyskl - INFO - Epoch [89][3300/3405] lr: 8.895e-03, eta: 15:06:49, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9838, loss_cls: 3.2778, loss: 3.2778 2023-12-24 17:47:26,318 - pyskl - INFO - Epoch [89][3400/3405] lr: 8.888e-03, eta: 15:06:22, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9800, loss_cls: 3.3331, loss: 3.3331 2023-12-24 17:47:28,362 - pyskl - INFO - Saving checkpoint at 89 epochs 2023-12-24 17:51:52,762 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 17:51:53,394 - pyskl - INFO - top1_acc 0.8274 top5_acc 0.9662 2023-12-24 17:51:53,398 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_87.pth was removed 2023-12-24 17:51:53,608 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. 2023-12-24 17:51:53,609 - pyskl - INFO - Best top1_acc is 0.8274 at 89 epoch. 2023-12-24 17:51:53,634 - pyskl - INFO - Epoch(val) [89][3718] top1_acc: 0.8274, top5_acc: 0.9662 2023-12-24 17:52:46,411 - pyskl - INFO - Epoch [90][100/3405] lr: 8.880e-03, eta: 15:06:12, time: 0.528, data_time: 0.274, memory: 5236, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 3.2146, loss: 3.2146 2023-12-24 17:53:12,662 - pyskl - INFO - Epoch [90][200/3405] lr: 8.872e-03, eta: 15:05:46, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 3.2746, loss: 3.2746 2023-12-24 17:53:37,935 - pyskl - INFO - Epoch [90][300/3405] lr: 8.865e-03, eta: 15:05:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 3.3008, loss: 3.3008 2023-12-24 17:54:03,070 - pyskl - INFO - Epoch [90][400/3405] lr: 8.858e-03, eta: 15:04:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 3.2412, loss: 3.2412 2023-12-24 17:54:28,180 - pyskl - INFO - Epoch [90][500/3405] lr: 8.850e-03, eta: 15:04:25, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8856, top5_acc: 0.9862, loss_cls: 3.2708, loss: 3.2708 2023-12-24 17:54:54,367 - pyskl - INFO - Epoch [90][600/3405] lr: 8.843e-03, eta: 15:03:59, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8450, top5_acc: 0.9812, loss_cls: 3.3499, loss: 3.3499 2023-12-24 17:55:20,049 - pyskl - INFO - Epoch [90][700/3405] lr: 8.836e-03, eta: 15:03:33, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 3.2727, loss: 3.2727 2023-12-24 17:55:45,513 - pyskl - INFO - Epoch [90][800/3405] lr: 8.828e-03, eta: 15:03:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8669, top5_acc: 0.9850, loss_cls: 3.2983, loss: 3.2983 2023-12-24 17:56:10,665 - pyskl - INFO - Epoch [90][900/3405] lr: 8.821e-03, eta: 15:02:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 3.2981, loss: 3.2981 2023-12-24 17:56:35,899 - pyskl - INFO - Epoch [90][1000/3405] lr: 8.814e-03, eta: 15:02:12, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 3.2936, loss: 3.2936 2023-12-24 17:57:01,277 - pyskl - INFO - Epoch [90][1100/3405] lr: 8.806e-03, eta: 15:01:45, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8750, top5_acc: 0.9831, loss_cls: 3.2966, loss: 3.2966 2023-12-24 17:57:26,987 - pyskl - INFO - Epoch [90][1200/3405] lr: 8.799e-03, eta: 15:01:19, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9850, loss_cls: 3.3050, loss: 3.3050 2023-12-24 17:57:52,404 - pyskl - INFO - Epoch [90][1300/3405] lr: 8.792e-03, eta: 15:00:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 3.2641, loss: 3.2641 2023-12-24 17:58:17,561 - pyskl - INFO - Epoch [90][1400/3405] lr: 8.784e-03, eta: 15:00:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8706, top5_acc: 0.9819, loss_cls: 3.2945, loss: 3.2945 2023-12-24 17:58:43,351 - pyskl - INFO - Epoch [90][1500/3405] lr: 8.777e-03, eta: 14:59:59, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8669, top5_acc: 0.9819, loss_cls: 3.3078, loss: 3.3078 2023-12-24 17:59:08,570 - pyskl - INFO - Epoch [90][1600/3405] lr: 8.770e-03, eta: 14:59:32, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 3.2849, loss: 3.2849 2023-12-24 17:59:34,277 - pyskl - INFO - Epoch [90][1700/3405] lr: 8.762e-03, eta: 14:59:06, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8712, top5_acc: 0.9800, loss_cls: 3.3109, loss: 3.3109 2023-12-24 17:59:59,803 - pyskl - INFO - Epoch [90][1800/3405] lr: 8.755e-03, eta: 14:58:39, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8669, top5_acc: 0.9788, loss_cls: 3.3228, loss: 3.3228 2023-12-24 18:00:26,073 - pyskl - INFO - Epoch [90][1900/3405] lr: 8.748e-03, eta: 14:58:13, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9794, loss_cls: 3.3251, loss: 3.3251 2023-12-24 18:00:51,669 - pyskl - INFO - Epoch [90][2000/3405] lr: 8.740e-03, eta: 14:57:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8612, top5_acc: 0.9838, loss_cls: 3.3332, loss: 3.3332 2023-12-24 18:01:17,252 - pyskl - INFO - Epoch [90][2100/3405] lr: 8.733e-03, eta: 14:57:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9806, loss_cls: 3.3348, loss: 3.3348 2023-12-24 18:01:42,747 - pyskl - INFO - Epoch [90][2200/3405] lr: 8.726e-03, eta: 14:56:53, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 3.3661, loss: 3.3661 2023-12-24 18:02:08,597 - pyskl - INFO - Epoch [90][2300/3405] lr: 8.718e-03, eta: 14:56:27, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8675, top5_acc: 0.9862, loss_cls: 3.3146, loss: 3.3146 2023-12-24 18:02:33,823 - pyskl - INFO - Epoch [90][2400/3405] lr: 8.711e-03, eta: 14:56:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 3.3145, loss: 3.3145 2023-12-24 18:02:59,186 - pyskl - INFO - Epoch [90][2500/3405] lr: 8.704e-03, eta: 14:55:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8525, top5_acc: 0.9781, loss_cls: 3.3712, loss: 3.3712 2023-12-24 18:03:24,300 - pyskl - INFO - Epoch [90][2600/3405] lr: 8.696e-03, eta: 14:55:06, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8419, top5_acc: 0.9819, loss_cls: 3.3693, loss: 3.3693 2023-12-24 18:03:49,523 - pyskl - INFO - Epoch [90][2700/3405] lr: 8.689e-03, eta: 14:54:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 3.3252, loss: 3.3252 2023-12-24 18:04:14,787 - pyskl - INFO - Epoch [90][2800/3405] lr: 8.682e-03, eta: 14:54:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 3.3039, loss: 3.3039 2023-12-24 18:04:40,165 - pyskl - INFO - Epoch [90][2900/3405] lr: 8.674e-03, eta: 14:53:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8719, top5_acc: 0.9900, loss_cls: 3.2749, loss: 3.2749 2023-12-24 18:05:05,613 - pyskl - INFO - Epoch [90][3000/3405] lr: 8.667e-03, eta: 14:53:19, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8681, top5_acc: 0.9800, loss_cls: 3.3165, loss: 3.3165 2023-12-24 18:05:30,743 - pyskl - INFO - Epoch [90][3100/3405] lr: 8.660e-03, eta: 14:52:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8881, top5_acc: 0.9825, loss_cls: 3.2509, loss: 3.2509 2023-12-24 18:05:55,953 - pyskl - INFO - Epoch [90][3200/3405] lr: 8.652e-03, eta: 14:52:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 3.3094, loss: 3.3094 2023-12-24 18:06:21,029 - pyskl - INFO - Epoch [90][3300/3405] lr: 8.645e-03, eta: 14:51:58, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8550, top5_acc: 0.9800, loss_cls: 3.3457, loss: 3.3457 2023-12-24 18:06:46,050 - pyskl - INFO - Epoch [90][3400/3405] lr: 8.638e-03, eta: 14:51:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8850, top5_acc: 0.9869, loss_cls: 3.2658, loss: 3.2658 2023-12-24 18:06:47,950 - pyskl - INFO - Saving checkpoint at 90 epochs 2023-12-24 18:11:10,694 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 18:11:11,359 - pyskl - INFO - top1_acc 0.8277 top5_acc 0.9654 2023-12-24 18:11:11,363 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_89.pth was removed 2023-12-24 18:11:11,571 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_90.pth. 2023-12-24 18:11:11,572 - pyskl - INFO - Best top1_acc is 0.8277 at 90 epoch. 2023-12-24 18:11:11,597 - pyskl - INFO - Epoch(val) [90][3718] top1_acc: 0.8277, top5_acc: 0.9654 2023-12-24 18:12:04,073 - pyskl - INFO - Epoch [91][100/3405] lr: 8.630e-03, eta: 14:51:21, time: 0.525, data_time: 0.272, memory: 5236, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 3.2269, loss: 3.2269 2023-12-24 18:12:29,318 - pyskl - INFO - Epoch [91][200/3405] lr: 8.623e-03, eta: 14:50:54, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 3.2492, loss: 3.2492 2023-12-24 18:12:54,538 - pyskl - INFO - Epoch [91][300/3405] lr: 8.615e-03, eta: 14:50:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 3.2651, loss: 3.2651 2023-12-24 18:13:19,797 - pyskl - INFO - Epoch [91][400/3405] lr: 8.608e-03, eta: 14:50:00, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 3.2749, loss: 3.2749 2023-12-24 18:13:45,001 - pyskl - INFO - Epoch [91][500/3405] lr: 8.601e-03, eta: 14:49:33, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 3.2283, loss: 3.2283 2023-12-24 18:14:10,178 - pyskl - INFO - Epoch [91][600/3405] lr: 8.594e-03, eta: 14:49:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8788, top5_acc: 0.9800, loss_cls: 3.2898, loss: 3.2898 2023-12-24 18:14:35,294 - pyskl - INFO - Epoch [91][700/3405] lr: 8.586e-03, eta: 14:48:39, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 3.2219, loss: 3.2219 2023-12-24 18:15:00,292 - pyskl - INFO - Epoch [91][800/3405] lr: 8.579e-03, eta: 14:48:13, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8681, top5_acc: 0.9844, loss_cls: 3.2953, loss: 3.2953 2023-12-24 18:15:25,241 - pyskl - INFO - Epoch [91][900/3405] lr: 8.572e-03, eta: 14:47:46, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8712, top5_acc: 0.9819, loss_cls: 3.2924, loss: 3.2924 2023-12-24 18:15:50,238 - pyskl - INFO - Epoch [91][1000/3405] lr: 8.564e-03, eta: 14:47:19, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 3.3081, loss: 3.3081 2023-12-24 18:16:15,655 - pyskl - INFO - Epoch [91][1100/3405] lr: 8.557e-03, eta: 14:46:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 3.2991, loss: 3.2991 2023-12-24 18:16:40,996 - pyskl - INFO - Epoch [91][1200/3405] lr: 8.550e-03, eta: 14:46:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8669, top5_acc: 0.9806, loss_cls: 3.3219, loss: 3.3219 2023-12-24 18:17:06,510 - pyskl - INFO - Epoch [91][1300/3405] lr: 8.542e-03, eta: 14:45:58, time: 0.255, data_time: 0.001, memory: 5236, top1_acc: 0.8700, top5_acc: 0.9906, loss_cls: 3.2975, loss: 3.2975 2023-12-24 18:17:32,327 - pyskl - INFO - Epoch [91][1400/3405] lr: 8.535e-03, eta: 14:45:32, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8812, top5_acc: 0.9856, loss_cls: 3.2880, loss: 3.2880 2023-12-24 18:17:57,665 - pyskl - INFO - Epoch [91][1500/3405] lr: 8.528e-03, eta: 14:45:05, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8562, top5_acc: 0.9862, loss_cls: 3.3469, loss: 3.3469 2023-12-24 18:18:22,856 - pyskl - INFO - Epoch [91][1600/3405] lr: 8.521e-03, eta: 14:44:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9819, loss_cls: 3.3120, loss: 3.3120 2023-12-24 18:18:48,244 - pyskl - INFO - Epoch [91][1700/3405] lr: 8.513e-03, eta: 14:44:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8725, top5_acc: 0.9875, loss_cls: 3.2866, loss: 3.2866 2023-12-24 18:19:13,915 - pyskl - INFO - Epoch [91][1800/3405] lr: 8.506e-03, eta: 14:43:45, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 3.2780, loss: 3.2780 2023-12-24 18:19:39,440 - pyskl - INFO - Epoch [91][1900/3405] lr: 8.499e-03, eta: 14:43:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9812, loss_cls: 3.3330, loss: 3.3330 2023-12-24 18:20:04,806 - pyskl - INFO - Epoch [91][2000/3405] lr: 8.491e-03, eta: 14:42:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8744, top5_acc: 0.9894, loss_cls: 3.2760, loss: 3.2760 2023-12-24 18:20:30,571 - pyskl - INFO - Epoch [91][2100/3405] lr: 8.484e-03, eta: 14:42:25, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8725, top5_acc: 0.9838, loss_cls: 3.2924, loss: 3.2924 2023-12-24 18:20:56,195 - pyskl - INFO - Epoch [91][2200/3405] lr: 8.477e-03, eta: 14:41:59, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9788, loss_cls: 3.3420, loss: 3.3420 2023-12-24 18:21:21,658 - pyskl - INFO - Epoch [91][2300/3405] lr: 8.470e-03, eta: 14:41:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 3.3077, loss: 3.3077 2023-12-24 18:21:46,990 - pyskl - INFO - Epoch [91][2400/3405] lr: 8.462e-03, eta: 14:41:05, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8531, top5_acc: 0.9856, loss_cls: 3.3364, loss: 3.3364 2023-12-24 18:22:12,151 - pyskl - INFO - Epoch [91][2500/3405] lr: 8.455e-03, eta: 14:40:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 3.2548, loss: 3.2548 2023-12-24 18:22:37,239 - pyskl - INFO - Epoch [91][2600/3405] lr: 8.448e-03, eta: 14:40:12, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8650, top5_acc: 0.9825, loss_cls: 3.3144, loss: 3.3144 2023-12-24 18:23:02,323 - pyskl - INFO - Epoch [91][2700/3405] lr: 8.440e-03, eta: 14:39:45, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 3.2856, loss: 3.2856 2023-12-24 18:23:27,692 - pyskl - INFO - Epoch [91][2800/3405] lr: 8.433e-03, eta: 14:39:18, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8500, top5_acc: 0.9819, loss_cls: 3.3541, loss: 3.3541 2023-12-24 18:23:52,986 - pyskl - INFO - Epoch [91][2900/3405] lr: 8.426e-03, eta: 14:38:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8619, top5_acc: 0.9844, loss_cls: 3.3029, loss: 3.3029 2023-12-24 18:24:18,301 - pyskl - INFO - Epoch [91][3000/3405] lr: 8.419e-03, eta: 14:38:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8562, top5_acc: 0.9850, loss_cls: 3.3448, loss: 3.3448 2023-12-24 18:24:43,395 - pyskl - INFO - Epoch [91][3100/3405] lr: 8.411e-03, eta: 14:37:58, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 3.2925, loss: 3.2925 2023-12-24 18:25:08,446 - pyskl - INFO - Epoch [91][3200/3405] lr: 8.404e-03, eta: 14:37:31, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8606, top5_acc: 0.9838, loss_cls: 3.3198, loss: 3.3198 2023-12-24 18:25:33,417 - pyskl - INFO - Epoch [91][3300/3405] lr: 8.397e-03, eta: 14:37:04, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 3.2662, loss: 3.2662 2023-12-24 18:25:58,461 - pyskl - INFO - Epoch [91][3400/3405] lr: 8.390e-03, eta: 14:36:37, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8738, top5_acc: 0.9869, loss_cls: 3.2714, loss: 3.2714 2023-12-24 18:26:00,511 - pyskl - INFO - Saving checkpoint at 91 epochs 2023-12-24 18:30:23,770 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 18:30:24,400 - pyskl - INFO - top1_acc 0.8323 top5_acc 0.9655 2023-12-24 18:30:24,405 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_90.pth was removed 2023-12-24 18:30:24,631 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. 2023-12-24 18:30:24,632 - pyskl - INFO - Best top1_acc is 0.8323 at 91 epoch. 2023-12-24 18:30:24,657 - pyskl - INFO - Epoch(val) [91][3718] top1_acc: 0.8323, top5_acc: 0.9655 2023-12-24 18:31:17,280 - pyskl - INFO - Epoch [92][100/3405] lr: 8.382e-03, eta: 14:36:26, time: 0.526, data_time: 0.272, memory: 5236, top1_acc: 0.8894, top5_acc: 0.9900, loss_cls: 3.2272, loss: 3.2272 2023-12-24 18:31:42,549 - pyskl - INFO - Epoch [92][200/3405] lr: 8.375e-03, eta: 14:35:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 3.2391, loss: 3.2391 2023-12-24 18:32:07,869 - pyskl - INFO - Epoch [92][300/3405] lr: 8.367e-03, eta: 14:35:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 3.2251, loss: 3.2251 2023-12-24 18:32:33,359 - pyskl - INFO - Epoch [92][400/3405] lr: 8.360e-03, eta: 14:35:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 3.2658, loss: 3.2658 2023-12-24 18:32:58,291 - pyskl - INFO - Epoch [92][500/3405] lr: 8.353e-03, eta: 14:34:38, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8831, top5_acc: 0.9831, loss_cls: 3.2537, loss: 3.2537 2023-12-24 18:33:23,160 - pyskl - INFO - Epoch [92][600/3405] lr: 8.346e-03, eta: 14:34:11, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 3.2546, loss: 3.2546 2023-12-24 18:33:48,039 - pyskl - INFO - Epoch [92][700/3405] lr: 8.338e-03, eta: 14:33:44, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8669, top5_acc: 0.9812, loss_cls: 3.2948, loss: 3.2948 2023-12-24 18:34:13,020 - pyskl - INFO - Epoch [92][800/3405] lr: 8.331e-03, eta: 14:33:17, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 3.2443, loss: 3.2443 2023-12-24 18:34:38,193 - pyskl - INFO - Epoch [92][900/3405] lr: 8.324e-03, eta: 14:32:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 3.2619, loss: 3.2619 2023-12-24 18:35:03,127 - pyskl - INFO - Epoch [92][1000/3405] lr: 8.317e-03, eta: 14:32:24, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8931, top5_acc: 0.9838, loss_cls: 3.2402, loss: 3.2402 2023-12-24 18:35:28,267 - pyskl - INFO - Epoch [92][1100/3405] lr: 8.309e-03, eta: 14:31:57, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8644, top5_acc: 0.9844, loss_cls: 3.3122, loss: 3.3122 2023-12-24 18:35:53,663 - pyskl - INFO - Epoch [92][1200/3405] lr: 8.302e-03, eta: 14:31:30, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8738, top5_acc: 0.9838, loss_cls: 3.2978, loss: 3.2978 2023-12-24 18:36:19,598 - pyskl - INFO - Epoch [92][1300/3405] lr: 8.295e-03, eta: 14:31:04, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8844, top5_acc: 0.9788, loss_cls: 3.2860, loss: 3.2860 2023-12-24 18:36:45,299 - pyskl - INFO - Epoch [92][1400/3405] lr: 8.288e-03, eta: 14:30:37, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 3.2423, loss: 3.2423 2023-12-24 18:37:10,755 - pyskl - INFO - Epoch [92][1500/3405] lr: 8.281e-03, eta: 14:30:11, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8644, top5_acc: 0.9800, loss_cls: 3.3193, loss: 3.3193 2023-12-24 18:37:36,144 - pyskl - INFO - Epoch [92][1600/3405] lr: 8.273e-03, eta: 14:29:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 3.2658, loss: 3.2658 2023-12-24 18:38:01,495 - pyskl - INFO - Epoch [92][1700/3405] lr: 8.266e-03, eta: 14:29:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8700, top5_acc: 0.9819, loss_cls: 3.3266, loss: 3.3266 2023-12-24 18:38:26,936 - pyskl - INFO - Epoch [92][1800/3405] lr: 8.259e-03, eta: 14:28:51, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9844, loss_cls: 3.2890, loss: 3.2890 2023-12-24 18:38:53,103 - pyskl - INFO - Epoch [92][1900/3405] lr: 8.252e-03, eta: 14:28:24, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 3.2784, loss: 3.2784 2023-12-24 18:39:18,592 - pyskl - INFO - Epoch [92][2000/3405] lr: 8.244e-03, eta: 14:27:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 3.2860, loss: 3.2860 2023-12-24 18:39:43,879 - pyskl - INFO - Epoch [92][2100/3405] lr: 8.237e-03, eta: 14:27:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 3.2972, loss: 3.2972 2023-12-24 18:40:09,873 - pyskl - INFO - Epoch [92][2200/3405] lr: 8.230e-03, eta: 14:27:05, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8588, top5_acc: 0.9806, loss_cls: 3.3191, loss: 3.3191 2023-12-24 18:40:35,109 - pyskl - INFO - Epoch [92][2300/3405] lr: 8.223e-03, eta: 14:26:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8594, top5_acc: 0.9844, loss_cls: 3.3315, loss: 3.3315 2023-12-24 18:41:00,742 - pyskl - INFO - Epoch [92][2400/3405] lr: 8.215e-03, eta: 14:26:11, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8800, top5_acc: 0.9825, loss_cls: 3.2892, loss: 3.2892 2023-12-24 18:41:26,410 - pyskl - INFO - Epoch [92][2500/3405] lr: 8.208e-03, eta: 14:25:45, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8681, top5_acc: 0.9806, loss_cls: 3.3153, loss: 3.3153 2023-12-24 18:41:51,632 - pyskl - INFO - Epoch [92][2600/3405] lr: 8.201e-03, eta: 14:25:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8731, top5_acc: 0.9875, loss_cls: 3.2913, loss: 3.2913 2023-12-24 18:42:17,057 - pyskl - INFO - Epoch [92][2700/3405] lr: 8.194e-03, eta: 14:24:51, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8669, top5_acc: 0.9844, loss_cls: 3.3068, loss: 3.3068 2023-12-24 18:42:42,509 - pyskl - INFO - Epoch [92][2800/3405] lr: 8.187e-03, eta: 14:24:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8644, top5_acc: 0.9819, loss_cls: 3.2986, loss: 3.2986 2023-12-24 18:43:07,904 - pyskl - INFO - Epoch [92][2900/3405] lr: 8.179e-03, eta: 14:23:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9819, loss_cls: 3.3176, loss: 3.3176 2023-12-24 18:43:33,248 - pyskl - INFO - Epoch [92][3000/3405] lr: 8.172e-03, eta: 14:23:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8812, top5_acc: 0.9800, loss_cls: 3.2912, loss: 3.2912 2023-12-24 18:43:59,134 - pyskl - INFO - Epoch [92][3100/3405] lr: 8.165e-03, eta: 14:23:05, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 3.3164, loss: 3.3164 2023-12-24 18:44:24,152 - pyskl - INFO - Epoch [92][3200/3405] lr: 8.158e-03, eta: 14:22:38, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 3.2549, loss: 3.2549 2023-12-24 18:44:49,164 - pyskl - INFO - Epoch [92][3300/3405] lr: 8.150e-03, eta: 14:22:11, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8706, top5_acc: 0.9812, loss_cls: 3.2882, loss: 3.2882 2023-12-24 18:45:14,161 - pyskl - INFO - Epoch [92][3400/3405] lr: 8.143e-03, eta: 14:21:44, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8725, top5_acc: 0.9831, loss_cls: 3.3112, loss: 3.3112 2023-12-24 18:45:16,113 - pyskl - INFO - Saving checkpoint at 92 epochs 2023-12-24 18:49:39,235 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 18:49:39,846 - pyskl - INFO - top1_acc 0.8204 top5_acc 0.9664 2023-12-24 18:49:39,871 - pyskl - INFO - Epoch(val) [92][3718] top1_acc: 0.8204, top5_acc: 0.9664 2023-12-24 18:50:32,580 - pyskl - INFO - Epoch [93][100/3405] lr: 8.136e-03, eta: 14:21:33, time: 0.527, data_time: 0.276, memory: 5236, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 3.2419, loss: 3.2419 2023-12-24 18:50:58,060 - pyskl - INFO - Epoch [93][200/3405] lr: 8.129e-03, eta: 14:21:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8900, top5_acc: 0.9862, loss_cls: 3.2569, loss: 3.2569 2023-12-24 18:51:23,525 - pyskl - INFO - Epoch [93][300/3405] lr: 8.121e-03, eta: 14:20:39, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8750, top5_acc: 0.9812, loss_cls: 3.2891, loss: 3.2891 2023-12-24 18:51:48,611 - pyskl - INFO - Epoch [93][400/3405] lr: 8.114e-03, eta: 14:20:12, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8850, top5_acc: 0.9850, loss_cls: 3.2743, loss: 3.2743 2023-12-24 18:52:13,756 - pyskl - INFO - Epoch [93][500/3405] lr: 8.107e-03, eta: 14:19:46, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 3.2637, loss: 3.2637 2023-12-24 18:52:38,690 - pyskl - INFO - Epoch [93][600/3405] lr: 8.100e-03, eta: 14:19:19, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 3.2635, loss: 3.2635 2023-12-24 18:53:03,579 - pyskl - INFO - Epoch [93][700/3405] lr: 8.093e-03, eta: 14:18:52, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8794, top5_acc: 0.9869, loss_cls: 3.2430, loss: 3.2430 2023-12-24 18:53:28,461 - pyskl - INFO - Epoch [93][800/3405] lr: 8.085e-03, eta: 14:18:25, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8950, top5_acc: 0.9838, loss_cls: 3.2413, loss: 3.2413 2023-12-24 18:53:53,379 - pyskl - INFO - Epoch [93][900/3405] lr: 8.078e-03, eta: 14:17:58, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8669, top5_acc: 0.9862, loss_cls: 3.3030, loss: 3.3030 2023-12-24 18:54:18,264 - pyskl - INFO - Epoch [93][1000/3405] lr: 8.071e-03, eta: 14:17:31, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 3.2443, loss: 3.2443 2023-12-24 18:54:43,125 - pyskl - INFO - Epoch [93][1100/3405] lr: 8.064e-03, eta: 14:17:04, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8519, top5_acc: 0.9831, loss_cls: 3.3439, loss: 3.3439 2023-12-24 18:55:08,464 - pyskl - INFO - Epoch [93][1200/3405] lr: 8.057e-03, eta: 14:16:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 3.2324, loss: 3.2324 2023-12-24 18:55:33,837 - pyskl - INFO - Epoch [93][1300/3405] lr: 8.049e-03, eta: 14:16:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8788, top5_acc: 0.9888, loss_cls: 3.2640, loss: 3.2640 2023-12-24 18:55:59,419 - pyskl - INFO - Epoch [93][1400/3405] lr: 8.042e-03, eta: 14:15:44, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8794, top5_acc: 0.9819, loss_cls: 3.2872, loss: 3.2872 2023-12-24 18:56:25,195 - pyskl - INFO - Epoch [93][1500/3405] lr: 8.035e-03, eta: 14:15:17, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8956, top5_acc: 0.9912, loss_cls: 3.2247, loss: 3.2247 2023-12-24 18:56:50,779 - pyskl - INFO - Epoch [93][1600/3405] lr: 8.028e-03, eta: 14:14:51, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 3.2854, loss: 3.2854 2023-12-24 18:57:16,607 - pyskl - INFO - Epoch [93][1700/3405] lr: 8.021e-03, eta: 14:14:24, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8788, top5_acc: 0.9888, loss_cls: 3.2697, loss: 3.2697 2023-12-24 18:57:41,985 - pyskl - INFO - Epoch [93][1800/3405] lr: 8.013e-03, eta: 14:13:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8788, top5_acc: 0.9881, loss_cls: 3.2946, loss: 3.2946 2023-12-24 18:58:07,408 - pyskl - INFO - Epoch [93][1900/3405] lr: 8.006e-03, eta: 14:13:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8769, top5_acc: 0.9819, loss_cls: 3.2887, loss: 3.2887 2023-12-24 18:58:32,901 - pyskl - INFO - Epoch [93][2000/3405] lr: 7.999e-03, eta: 14:13:04, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 3.2856, loss: 3.2856 2023-12-24 18:58:58,436 - pyskl - INFO - Epoch [93][2100/3405] lr: 7.992e-03, eta: 14:12:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 3.2694, loss: 3.2694 2023-12-24 18:59:24,165 - pyskl - INFO - Epoch [93][2200/3405] lr: 7.985e-03, eta: 14:12:11, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 3.2883, loss: 3.2883 2023-12-24 18:59:50,195 - pyskl - INFO - Epoch [93][2300/3405] lr: 7.978e-03, eta: 14:11:45, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8819, top5_acc: 0.9906, loss_cls: 3.2635, loss: 3.2635 2023-12-24 19:00:15,673 - pyskl - INFO - Epoch [93][2400/3405] lr: 7.970e-03, eta: 14:11:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8706, top5_acc: 0.9762, loss_cls: 3.3149, loss: 3.3149 2023-12-24 19:00:40,981 - pyskl - INFO - Epoch [93][2500/3405] lr: 7.963e-03, eta: 14:10:52, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8644, top5_acc: 0.9856, loss_cls: 3.3016, loss: 3.3016 2023-12-24 19:01:06,203 - pyskl - INFO - Epoch [93][2600/3405] lr: 7.956e-03, eta: 14:10:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8600, top5_acc: 0.9794, loss_cls: 3.3291, loss: 3.3291 2023-12-24 19:01:31,384 - pyskl - INFO - Epoch [93][2700/3405] lr: 7.949e-03, eta: 14:09:58, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 3.2559, loss: 3.2559 2023-12-24 19:01:56,656 - pyskl - INFO - Epoch [93][2800/3405] lr: 7.942e-03, eta: 14:09:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 3.3137, loss: 3.3137 2023-12-24 19:02:21,876 - pyskl - INFO - Epoch [93][2900/3405] lr: 7.935e-03, eta: 14:09:05, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8788, top5_acc: 0.9762, loss_cls: 3.3248, loss: 3.3248 2023-12-24 19:02:47,128 - pyskl - INFO - Epoch [93][3000/3405] lr: 7.927e-03, eta: 14:08:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8875, top5_acc: 0.9819, loss_cls: 3.2669, loss: 3.2669 2023-12-24 19:03:12,961 - pyskl - INFO - Epoch [93][3100/3405] lr: 7.920e-03, eta: 14:08:11, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8638, top5_acc: 0.9838, loss_cls: 3.3098, loss: 3.3098 2023-12-24 19:03:39,443 - pyskl - INFO - Epoch [93][3200/3405] lr: 7.913e-03, eta: 14:07:45, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 3.3005, loss: 3.3005 2023-12-24 19:04:05,300 - pyskl - INFO - Epoch [93][3300/3405] lr: 7.906e-03, eta: 14:07:19, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 3.3149, loss: 3.3149 2023-12-24 19:04:30,547 - pyskl - INFO - Epoch [93][3400/3405] lr: 7.899e-03, eta: 14:06:52, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 3.2712, loss: 3.2712 2023-12-24 19:04:32,416 - pyskl - INFO - Saving checkpoint at 93 epochs 2023-12-24 19:08:55,363 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 19:08:55,991 - pyskl - INFO - top1_acc 0.8330 top5_acc 0.9672 2023-12-24 19:08:55,995 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_91.pth was removed 2023-12-24 19:08:56,200 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. 2023-12-24 19:08:56,201 - pyskl - INFO - Best top1_acc is 0.8330 at 93 epoch. 2023-12-24 19:08:56,226 - pyskl - INFO - Epoch(val) [93][3718] top1_acc: 0.8330, top5_acc: 0.9672 2023-12-24 19:09:48,922 - pyskl - INFO - Epoch [94][100/3405] lr: 7.891e-03, eta: 14:06:40, time: 0.527, data_time: 0.279, memory: 5236, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 3.2411, loss: 3.2411 2023-12-24 19:10:13,902 - pyskl - INFO - Epoch [94][200/3405] lr: 7.884e-03, eta: 14:06:13, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8731, top5_acc: 0.9881, loss_cls: 3.2976, loss: 3.2976 2023-12-24 19:10:39,406 - pyskl - INFO - Epoch [94][300/3405] lr: 7.877e-03, eta: 14:05:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8775, top5_acc: 0.9819, loss_cls: 3.2767, loss: 3.2767 2023-12-24 19:11:04,619 - pyskl - INFO - Epoch [94][400/3405] lr: 7.870e-03, eta: 14:05:20, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 3.2716, loss: 3.2716 2023-12-24 19:11:29,502 - pyskl - INFO - Epoch [94][500/3405] lr: 7.863e-03, eta: 14:04:53, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 3.2499, loss: 3.2499 2023-12-24 19:11:54,420 - pyskl - INFO - Epoch [94][600/3405] lr: 7.856e-03, eta: 14:04:26, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 3.3043, loss: 3.3043 2023-12-24 19:12:19,343 - pyskl - INFO - Epoch [94][700/3405] lr: 7.849e-03, eta: 14:03:59, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8856, top5_acc: 0.9869, loss_cls: 3.2561, loss: 3.2561 2023-12-24 19:12:44,361 - pyskl - INFO - Epoch [94][800/3405] lr: 7.841e-03, eta: 14:03:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 3.2380, loss: 3.2380 2023-12-24 19:13:09,626 - pyskl - INFO - Epoch [94][900/3405] lr: 7.834e-03, eta: 14:03:05, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 3.2414, loss: 3.2414 2023-12-24 19:13:34,791 - pyskl - INFO - Epoch [94][1000/3405] lr: 7.827e-03, eta: 14:02:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8694, top5_acc: 0.9869, loss_cls: 3.2712, loss: 3.2712 2023-12-24 19:13:59,898 - pyskl - INFO - Epoch [94][1100/3405] lr: 7.820e-03, eta: 14:02:12, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 3.2495, loss: 3.2495 2023-12-24 19:14:25,031 - pyskl - INFO - Epoch [94][1200/3405] lr: 7.813e-03, eta: 14:01:45, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8875, top5_acc: 0.9856, loss_cls: 3.2319, loss: 3.2319 2023-12-24 19:14:50,625 - pyskl - INFO - Epoch [94][1300/3405] lr: 7.806e-03, eta: 14:01:18, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 3.2314, loss: 3.2314 2023-12-24 19:15:16,268 - pyskl - INFO - Epoch [94][1400/3405] lr: 7.799e-03, eta: 14:00:52, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8850, top5_acc: 0.9831, loss_cls: 3.2462, loss: 3.2462 2023-12-24 19:15:41,789 - pyskl - INFO - Epoch [94][1500/3405] lr: 7.791e-03, eta: 14:00:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8762, top5_acc: 0.9812, loss_cls: 3.2798, loss: 3.2798 2023-12-24 19:16:07,436 - pyskl - INFO - Epoch [94][1600/3405] lr: 7.784e-03, eta: 13:59:59, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8888, top5_acc: 0.9831, loss_cls: 3.2374, loss: 3.2374 2023-12-24 19:16:33,097 - pyskl - INFO - Epoch [94][1700/3405] lr: 7.777e-03, eta: 13:59:32, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 3.2549, loss: 3.2549 2023-12-24 19:16:58,538 - pyskl - INFO - Epoch [94][1800/3405] lr: 7.770e-03, eta: 13:59:06, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 3.2536, loss: 3.2536 2023-12-24 19:17:23,779 - pyskl - INFO - Epoch [94][1900/3405] lr: 7.763e-03, eta: 13:58:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 3.2935, loss: 3.2935 2023-12-24 19:17:49,145 - pyskl - INFO - Epoch [94][2000/3405] lr: 7.756e-03, eta: 13:58:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8762, top5_acc: 0.9856, loss_cls: 3.2820, loss: 3.2820 2023-12-24 19:18:15,120 - pyskl - INFO - Epoch [94][2100/3405] lr: 7.749e-03, eta: 13:57:46, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8912, top5_acc: 0.9850, loss_cls: 3.2686, loss: 3.2686 2023-12-24 19:18:40,229 - pyskl - INFO - Epoch [94][2200/3405] lr: 7.742e-03, eta: 13:57:19, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8781, top5_acc: 0.9900, loss_cls: 3.2768, loss: 3.2768 2023-12-24 19:19:06,206 - pyskl - INFO - Epoch [94][2300/3405] lr: 7.735e-03, eta: 13:56:53, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 3.2992, loss: 3.2992 2023-12-24 19:19:31,821 - pyskl - INFO - Epoch [94][2400/3405] lr: 7.727e-03, eta: 13:56:26, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8819, top5_acc: 0.9912, loss_cls: 3.2394, loss: 3.2394 2023-12-24 19:19:57,649 - pyskl - INFO - Epoch [94][2500/3405] lr: 7.720e-03, eta: 13:56:00, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8700, top5_acc: 0.9844, loss_cls: 3.3068, loss: 3.3068 2023-12-24 19:20:22,880 - pyskl - INFO - Epoch [94][2600/3405] lr: 7.713e-03, eta: 13:55:33, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8700, top5_acc: 0.9856, loss_cls: 3.2913, loss: 3.2913 2023-12-24 19:20:48,158 - pyskl - INFO - Epoch [94][2700/3405] lr: 7.706e-03, eta: 13:55:06, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8825, top5_acc: 0.9838, loss_cls: 3.2597, loss: 3.2597 2023-12-24 19:21:13,447 - pyskl - INFO - Epoch [94][2800/3405] lr: 7.699e-03, eta: 13:54:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8706, top5_acc: 0.9875, loss_cls: 3.2888, loss: 3.2888 2023-12-24 19:21:38,628 - pyskl - INFO - Epoch [94][2900/3405] lr: 7.692e-03, eta: 13:54:13, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8650, top5_acc: 0.9838, loss_cls: 3.3241, loss: 3.3241 2023-12-24 19:22:03,684 - pyskl - INFO - Epoch [94][3000/3405] lr: 7.685e-03, eta: 13:53:46, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8750, top5_acc: 0.9838, loss_cls: 3.2828, loss: 3.2828 2023-12-24 19:22:29,226 - pyskl - INFO - Epoch [94][3100/3405] lr: 7.678e-03, eta: 13:53:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8912, top5_acc: 0.9919, loss_cls: 3.2263, loss: 3.2263 2023-12-24 19:22:54,500 - pyskl - INFO - Epoch [94][3200/3405] lr: 7.671e-03, eta: 13:52:53, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8700, top5_acc: 0.9844, loss_cls: 3.2905, loss: 3.2905 2023-12-24 19:23:20,042 - pyskl - INFO - Epoch [94][3300/3405] lr: 7.664e-03, eta: 13:52:26, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 3.2708, loss: 3.2708 2023-12-24 19:23:46,410 - pyskl - INFO - Epoch [94][3400/3405] lr: 7.656e-03, eta: 13:52:00, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 3.3055, loss: 3.3055 2023-12-24 19:23:48,451 - pyskl - INFO - Saving checkpoint at 94 epochs 2023-12-24 19:28:11,671 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 19:28:12,311 - pyskl - INFO - top1_acc 0.8220 top5_acc 0.9646 2023-12-24 19:28:12,337 - pyskl - INFO - Epoch(val) [94][3718] top1_acc: 0.8220, top5_acc: 0.9646 2023-12-24 19:29:05,223 - pyskl - INFO - Epoch [95][100/3405] lr: 7.649e-03, eta: 13:51:48, time: 0.529, data_time: 0.279, memory: 5236, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 3.2238, loss: 3.2238 2023-12-24 19:29:30,732 - pyskl - INFO - Epoch [95][200/3405] lr: 7.642e-03, eta: 13:51:21, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8694, top5_acc: 0.9862, loss_cls: 3.2872, loss: 3.2872 2023-12-24 19:29:56,130 - pyskl - INFO - Epoch [95][300/3405] lr: 7.635e-03, eta: 13:50:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8912, top5_acc: 0.9919, loss_cls: 3.2366, loss: 3.2366 2023-12-24 19:30:21,549 - pyskl - INFO - Epoch [95][400/3405] lr: 7.628e-03, eta: 13:50:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 3.2056, loss: 3.2056 2023-12-24 19:30:47,160 - pyskl - INFO - Epoch [95][500/3405] lr: 7.621e-03, eta: 13:50:01, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8738, top5_acc: 0.9862, loss_cls: 3.2642, loss: 3.2642 2023-12-24 19:31:12,235 - pyskl - INFO - Epoch [95][600/3405] lr: 7.614e-03, eta: 13:49:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 3.2397, loss: 3.2397 2023-12-24 19:31:37,494 - pyskl - INFO - Epoch [95][700/3405] lr: 7.607e-03, eta: 13:49:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 3.2615, loss: 3.2615 2023-12-24 19:32:02,571 - pyskl - INFO - Epoch [95][800/3405] lr: 7.599e-03, eta: 13:48:41, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8762, top5_acc: 0.9844, loss_cls: 3.2878, loss: 3.2878 2023-12-24 19:32:27,998 - pyskl - INFO - Epoch [95][900/3405] lr: 7.592e-03, eta: 13:48:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8781, top5_acc: 0.9869, loss_cls: 3.2428, loss: 3.2428 2023-12-24 19:32:53,524 - pyskl - INFO - Epoch [95][1000/3405] lr: 7.585e-03, eta: 13:47:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 3.2622, loss: 3.2622 2023-12-24 19:33:18,654 - pyskl - INFO - Epoch [95][1100/3405] lr: 7.578e-03, eta: 13:47:21, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 3.2341, loss: 3.2341 2023-12-24 19:33:44,052 - pyskl - INFO - Epoch [95][1200/3405] lr: 7.571e-03, eta: 13:46:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8825, top5_acc: 0.9819, loss_cls: 3.2585, loss: 3.2585 2023-12-24 19:34:09,311 - pyskl - INFO - Epoch [95][1300/3405] lr: 7.564e-03, eta: 13:46:27, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8838, top5_acc: 0.9900, loss_cls: 3.2527, loss: 3.2527 2023-12-24 19:34:34,418 - pyskl - INFO - Epoch [95][1400/3405] lr: 7.557e-03, eta: 13:46:01, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 3.2466, loss: 3.2466 2023-12-24 19:34:59,897 - pyskl - INFO - Epoch [95][1500/3405] lr: 7.550e-03, eta: 13:45:34, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8994, top5_acc: 0.9856, loss_cls: 3.2327, loss: 3.2327 2023-12-24 19:35:25,722 - pyskl - INFO - Epoch [95][1600/3405] lr: 7.543e-03, eta: 13:45:08, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 3.2003, loss: 3.2003 2023-12-24 19:35:50,886 - pyskl - INFO - Epoch [95][1700/3405] lr: 7.536e-03, eta: 13:44:41, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8956, top5_acc: 0.9931, loss_cls: 3.2128, loss: 3.2128 2023-12-24 19:36:16,053 - pyskl - INFO - Epoch [95][1800/3405] lr: 7.529e-03, eta: 13:44:14, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 3.2403, loss: 3.2403 2023-12-24 19:36:41,410 - pyskl - INFO - Epoch [95][1900/3405] lr: 7.522e-03, eta: 13:43:47, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 3.2633, loss: 3.2633 2023-12-24 19:37:06,760 - pyskl - INFO - Epoch [95][2000/3405] lr: 7.515e-03, eta: 13:43:21, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9831, loss_cls: 3.2943, loss: 3.2943 2023-12-24 19:37:32,230 - pyskl - INFO - Epoch [95][2100/3405] lr: 7.508e-03, eta: 13:42:54, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 3.2599, loss: 3.2599 2023-12-24 19:37:57,689 - pyskl - INFO - Epoch [95][2200/3405] lr: 7.501e-03, eta: 13:42:28, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8719, top5_acc: 0.9838, loss_cls: 3.3089, loss: 3.3089 2023-12-24 19:38:23,236 - pyskl - INFO - Epoch [95][2300/3405] lr: 7.494e-03, eta: 13:42:01, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8762, top5_acc: 0.9869, loss_cls: 3.2690, loss: 3.2690 2023-12-24 19:38:48,649 - pyskl - INFO - Epoch [95][2400/3405] lr: 7.487e-03, eta: 13:41:34, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 3.2550, loss: 3.2550 2023-12-24 19:39:14,122 - pyskl - INFO - Epoch [95][2500/3405] lr: 7.480e-03, eta: 13:41:08, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 3.2253, loss: 3.2253 2023-12-24 19:39:39,521 - pyskl - INFO - Epoch [95][2600/3405] lr: 7.472e-03, eta: 13:40:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 3.2996, loss: 3.2996 2023-12-24 19:40:04,863 - pyskl - INFO - Epoch [95][2700/3405] lr: 7.465e-03, eta: 13:40:14, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8662, top5_acc: 0.9831, loss_cls: 3.2943, loss: 3.2943 2023-12-24 19:40:30,240 - pyskl - INFO - Epoch [95][2800/3405] lr: 7.458e-03, eta: 13:39:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 3.2203, loss: 3.2203 2023-12-24 19:40:55,412 - pyskl - INFO - Epoch [95][2900/3405] lr: 7.451e-03, eta: 13:39:21, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 3.2852, loss: 3.2852 2023-12-24 19:41:20,732 - pyskl - INFO - Epoch [95][3000/3405] lr: 7.444e-03, eta: 13:38:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8806, top5_acc: 0.9831, loss_cls: 3.2454, loss: 3.2454 2023-12-24 19:41:46,060 - pyskl - INFO - Epoch [95][3100/3405] lr: 7.437e-03, eta: 13:38:28, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8819, top5_acc: 0.9900, loss_cls: 3.2515, loss: 3.2515 2023-12-24 19:42:11,740 - pyskl - INFO - Epoch [95][3200/3405] lr: 7.430e-03, eta: 13:38:01, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 3.3285, loss: 3.3285 2023-12-24 19:42:36,835 - pyskl - INFO - Epoch [95][3300/3405] lr: 7.423e-03, eta: 13:37:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8888, top5_acc: 0.9838, loss_cls: 3.2504, loss: 3.2504 2023-12-24 19:43:01,851 - pyskl - INFO - Epoch [95][3400/3405] lr: 7.416e-03, eta: 13:37:08, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8769, top5_acc: 0.9869, loss_cls: 3.2698, loss: 3.2698 2023-12-24 19:43:03,817 - pyskl - INFO - Saving checkpoint at 95 epochs 2023-12-24 19:47:27,492 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 19:47:28,112 - pyskl - INFO - top1_acc 0.8171 top5_acc 0.9621 2023-12-24 19:47:28,137 - pyskl - INFO - Epoch(val) [95][3718] top1_acc: 0.8171, top5_acc: 0.9621 2023-12-24 19:48:21,181 - pyskl - INFO - Epoch [96][100/3405] lr: 7.409e-03, eta: 13:36:55, time: 0.530, data_time: 0.278, memory: 5236, top1_acc: 0.8938, top5_acc: 0.9919, loss_cls: 3.2145, loss: 3.2145 2023-12-24 19:48:46,394 - pyskl - INFO - Epoch [96][200/3405] lr: 7.402e-03, eta: 13:36:28, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8875, top5_acc: 0.9912, loss_cls: 3.2278, loss: 3.2278 2023-12-24 19:49:11,259 - pyskl - INFO - Epoch [96][300/3405] lr: 7.395e-03, eta: 13:36:01, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 3.2006, loss: 3.2006 2023-12-24 19:49:36,512 - pyskl - INFO - Epoch [96][400/3405] lr: 7.388e-03, eta: 13:35:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 3.2421, loss: 3.2421 2023-12-24 19:50:01,957 - pyskl - INFO - Epoch [96][500/3405] lr: 7.381e-03, eta: 13:35:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 3.1955, loss: 3.1955 2023-12-24 19:50:27,359 - pyskl - INFO - Epoch [96][600/3405] lr: 7.374e-03, eta: 13:34:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 3.1898, loss: 3.1898 2023-12-24 19:50:52,751 - pyskl - INFO - Epoch [96][700/3405] lr: 7.367e-03, eta: 13:34:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 3.2291, loss: 3.2291 2023-12-24 19:51:17,890 - pyskl - INFO - Epoch [96][800/3405] lr: 7.360e-03, eta: 13:33:48, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8888, top5_acc: 0.9831, loss_cls: 3.2408, loss: 3.2408 2023-12-24 19:51:42,952 - pyskl - INFO - Epoch [96][900/3405] lr: 7.353e-03, eta: 13:33:21, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 3.1983, loss: 3.1983 2023-12-24 19:52:07,949 - pyskl - INFO - Epoch [96][1000/3405] lr: 7.346e-03, eta: 13:32:54, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8931, top5_acc: 0.9912, loss_cls: 3.2383, loss: 3.2383 2023-12-24 19:52:33,123 - pyskl - INFO - Epoch [96][1100/3405] lr: 7.339e-03, eta: 13:32:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8969, top5_acc: 0.9912, loss_cls: 3.2048, loss: 3.2048 2023-12-24 19:52:59,203 - pyskl - INFO - Epoch [96][1200/3405] lr: 7.332e-03, eta: 13:32:01, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 3.2665, loss: 3.2665 2023-12-24 19:53:24,942 - pyskl - INFO - Epoch [96][1300/3405] lr: 7.325e-03, eta: 13:31:35, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8925, top5_acc: 0.9844, loss_cls: 3.2355, loss: 3.2355 2023-12-24 19:53:50,373 - pyskl - INFO - Epoch [96][1400/3405] lr: 7.318e-03, eta: 13:31:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 3.2505, loss: 3.2505 2023-12-24 19:54:15,943 - pyskl - INFO - Epoch [96][1500/3405] lr: 7.311e-03, eta: 13:30:41, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8750, top5_acc: 0.9806, loss_cls: 3.2631, loss: 3.2631 2023-12-24 19:54:41,173 - pyskl - INFO - Epoch [96][1600/3405] lr: 7.304e-03, eta: 13:30:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 3.2663, loss: 3.2663 2023-12-24 19:55:06,370 - pyskl - INFO - Epoch [96][1700/3405] lr: 7.297e-03, eta: 13:29:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 3.2953, loss: 3.2953 2023-12-24 19:55:31,596 - pyskl - INFO - Epoch [96][1800/3405] lr: 7.290e-03, eta: 13:29:21, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 3.2335, loss: 3.2335 2023-12-24 19:55:57,444 - pyskl - INFO - Epoch [96][1900/3405] lr: 7.283e-03, eta: 13:28:55, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8819, top5_acc: 0.9894, loss_cls: 3.2408, loss: 3.2408 2023-12-24 19:56:23,051 - pyskl - INFO - Epoch [96][2000/3405] lr: 7.276e-03, eta: 13:28:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 3.2901, loss: 3.2901 2023-12-24 19:56:48,638 - pyskl - INFO - Epoch [96][2100/3405] lr: 7.269e-03, eta: 13:28:02, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 3.2508, loss: 3.2508 2023-12-24 19:57:14,645 - pyskl - INFO - Epoch [96][2200/3405] lr: 7.262e-03, eta: 13:27:36, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 3.2825, loss: 3.2825 2023-12-24 19:57:40,185 - pyskl - INFO - Epoch [96][2300/3405] lr: 7.255e-03, eta: 13:27:09, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8881, top5_acc: 0.9831, loss_cls: 3.2537, loss: 3.2537 2023-12-24 19:58:05,748 - pyskl - INFO - Epoch [96][2400/3405] lr: 7.248e-03, eta: 13:26:42, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8688, top5_acc: 0.9881, loss_cls: 3.2851, loss: 3.2851 2023-12-24 19:58:31,295 - pyskl - INFO - Epoch [96][2500/3405] lr: 7.241e-03, eta: 13:26:16, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8719, top5_acc: 0.9856, loss_cls: 3.2715, loss: 3.2715 2023-12-24 19:58:56,952 - pyskl - INFO - Epoch [96][2600/3405] lr: 7.234e-03, eta: 13:25:49, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8762, top5_acc: 0.9881, loss_cls: 3.2637, loss: 3.2637 2023-12-24 19:59:22,551 - pyskl - INFO - Epoch [96][2700/3405] lr: 7.227e-03, eta: 13:25:23, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 3.2658, loss: 3.2658 2023-12-24 19:59:47,824 - pyskl - INFO - Epoch [96][2800/3405] lr: 7.220e-03, eta: 13:24:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8856, top5_acc: 0.9862, loss_cls: 3.2586, loss: 3.2586 2023-12-24 20:00:13,013 - pyskl - INFO - Epoch [96][2900/3405] lr: 7.213e-03, eta: 13:24:29, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8794, top5_acc: 0.9869, loss_cls: 3.2753, loss: 3.2753 2023-12-24 20:00:38,101 - pyskl - INFO - Epoch [96][3000/3405] lr: 7.206e-03, eta: 13:24:03, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8800, top5_acc: 0.9894, loss_cls: 3.2631, loss: 3.2631 2023-12-24 20:01:03,577 - pyskl - INFO - Epoch [96][3100/3405] lr: 7.199e-03, eta: 13:23:36, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8725, top5_acc: 0.9856, loss_cls: 3.2852, loss: 3.2852 2023-12-24 20:01:29,021 - pyskl - INFO - Epoch [96][3200/3405] lr: 7.192e-03, eta: 13:23:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 3.2491, loss: 3.2491 2023-12-24 20:01:54,209 - pyskl - INFO - Epoch [96][3300/3405] lr: 7.185e-03, eta: 13:22:43, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 3.2600, loss: 3.2600 2023-12-24 20:02:19,660 - pyskl - INFO - Epoch [96][3400/3405] lr: 7.178e-03, eta: 13:22:16, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 3.2566, loss: 3.2566 2023-12-24 20:02:21,568 - pyskl - INFO - Saving checkpoint at 96 epochs 2023-12-24 20:06:45,296 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 20:06:45,917 - pyskl - INFO - top1_acc 0.8387 top5_acc 0.9685 2023-12-24 20:06:45,922 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_93.pth was removed 2023-12-24 20:06:46,129 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_96.pth. 2023-12-24 20:06:46,130 - pyskl - INFO - Best top1_acc is 0.8387 at 96 epoch. 2023-12-24 20:06:46,155 - pyskl - INFO - Epoch(val) [96][3718] top1_acc: 0.8387, top5_acc: 0.9685 2023-12-24 20:07:39,978 - pyskl - INFO - Epoch [97][100/3405] lr: 7.171e-03, eta: 13:22:03, time: 0.538, data_time: 0.277, memory: 5236, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 3.1963, loss: 3.1963 2023-12-24 20:08:04,830 - pyskl - INFO - Epoch [97][200/3405] lr: 7.164e-03, eta: 13:21:37, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 3.1979, loss: 3.1979 2023-12-24 20:08:29,934 - pyskl - INFO - Epoch [97][300/3405] lr: 7.157e-03, eta: 13:21:10, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8944, top5_acc: 0.9850, loss_cls: 3.2292, loss: 3.2292 2023-12-24 20:08:55,177 - pyskl - INFO - Epoch [97][400/3405] lr: 7.150e-03, eta: 13:20:43, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 3.1843, loss: 3.1843 2023-12-24 20:09:20,621 - pyskl - INFO - Epoch [97][500/3405] lr: 7.143e-03, eta: 13:20:16, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 3.1743, loss: 3.1743 2023-12-24 20:09:46,063 - pyskl - INFO - Epoch [97][600/3405] lr: 7.136e-03, eta: 13:19:50, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9869, loss_cls: 3.2086, loss: 3.2086 2023-12-24 20:10:11,294 - pyskl - INFO - Epoch [97][700/3405] lr: 7.129e-03, eta: 13:19:23, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 3.2342, loss: 3.2342 2023-12-24 20:10:37,477 - pyskl - INFO - Epoch [97][800/3405] lr: 7.122e-03, eta: 13:18:57, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 3.2181, loss: 3.2181 2023-12-24 20:11:03,083 - pyskl - INFO - Epoch [97][900/3405] lr: 7.115e-03, eta: 13:18:30, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8925, top5_acc: 0.9862, loss_cls: 3.2397, loss: 3.2397 2023-12-24 20:11:28,219 - pyskl - INFO - Epoch [97][1000/3405] lr: 7.108e-03, eta: 13:18:04, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 3.2228, loss: 3.2228 2023-12-24 20:11:53,337 - pyskl - INFO - Epoch [97][1100/3405] lr: 7.101e-03, eta: 13:17:37, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8769, top5_acc: 0.9812, loss_cls: 3.2780, loss: 3.2780 2023-12-24 20:12:18,771 - pyskl - INFO - Epoch [97][1200/3405] lr: 7.094e-03, eta: 13:17:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 3.2332, loss: 3.2332 2023-12-24 20:12:44,137 - pyskl - INFO - Epoch [97][1300/3405] lr: 7.088e-03, eta: 13:16:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 3.2337, loss: 3.2337 2023-12-24 20:13:09,427 - pyskl - INFO - Epoch [97][1400/3405] lr: 7.081e-03, eta: 13:16:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8838, top5_acc: 0.9906, loss_cls: 3.2352, loss: 3.2352 2023-12-24 20:13:35,208 - pyskl - INFO - Epoch [97][1500/3405] lr: 7.074e-03, eta: 13:15:51, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 3.2098, loss: 3.2098 2023-12-24 20:14:01,014 - pyskl - INFO - Epoch [97][1600/3405] lr: 7.067e-03, eta: 13:15:24, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8919, top5_acc: 0.9925, loss_cls: 3.2229, loss: 3.2229 2023-12-24 20:14:26,451 - pyskl - INFO - Epoch [97][1700/3405] lr: 7.060e-03, eta: 13:14:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 3.2230, loss: 3.2230 2023-12-24 20:14:51,679 - pyskl - INFO - Epoch [97][1800/3405] lr: 7.053e-03, eta: 13:14:31, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 3.2247, loss: 3.2247 2023-12-24 20:15:17,173 - pyskl - INFO - Epoch [97][1900/3405] lr: 7.046e-03, eta: 13:14:04, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 3.2487, loss: 3.2487 2023-12-24 20:15:42,653 - pyskl - INFO - Epoch [97][2000/3405] lr: 7.039e-03, eta: 13:13:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 3.2651, loss: 3.2651 2023-12-24 20:16:07,834 - pyskl - INFO - Epoch [97][2100/3405] lr: 7.032e-03, eta: 13:13:11, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8944, top5_acc: 0.9844, loss_cls: 3.2616, loss: 3.2616 2023-12-24 20:16:33,288 - pyskl - INFO - Epoch [97][2200/3405] lr: 7.025e-03, eta: 13:12:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8825, top5_acc: 0.9894, loss_cls: 3.2278, loss: 3.2278 2023-12-24 20:16:58,717 - pyskl - INFO - Epoch [97][2300/3405] lr: 7.018e-03, eta: 13:12:18, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8750, top5_acc: 0.9806, loss_cls: 3.2904, loss: 3.2904 2023-12-24 20:17:24,349 - pyskl - INFO - Epoch [97][2400/3405] lr: 7.011e-03, eta: 13:11:51, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8762, top5_acc: 0.9869, loss_cls: 3.2736, loss: 3.2736 2023-12-24 20:17:49,821 - pyskl - INFO - Epoch [97][2500/3405] lr: 7.005e-03, eta: 13:11:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8744, top5_acc: 0.9894, loss_cls: 3.2815, loss: 3.2815 2023-12-24 20:18:15,260 - pyskl - INFO - Epoch [97][2600/3405] lr: 6.998e-03, eta: 13:10:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 3.2438, loss: 3.2438 2023-12-24 20:18:40,719 - pyskl - INFO - Epoch [97][2700/3405] lr: 6.991e-03, eta: 13:10:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9019, top5_acc: 0.9862, loss_cls: 3.2130, loss: 3.2130 2023-12-24 20:19:06,294 - pyskl - INFO - Epoch [97][2800/3405] lr: 6.984e-03, eta: 13:10:05, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8900, top5_acc: 0.9912, loss_cls: 3.2381, loss: 3.2381 2023-12-24 20:19:31,613 - pyskl - INFO - Epoch [97][2900/3405] lr: 6.977e-03, eta: 13:09:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 3.2464, loss: 3.2464 2023-12-24 20:19:56,732 - pyskl - INFO - Epoch [97][3000/3405] lr: 6.970e-03, eta: 13:09:12, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8888, top5_acc: 0.9906, loss_cls: 3.2248, loss: 3.2248 2023-12-24 20:20:21,905 - pyskl - INFO - Epoch [97][3100/3405] lr: 6.963e-03, eta: 13:08:45, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8912, top5_acc: 0.9844, loss_cls: 3.2539, loss: 3.2539 2023-12-24 20:20:47,061 - pyskl - INFO - Epoch [97][3200/3405] lr: 6.956e-03, eta: 13:08:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9831, loss_cls: 3.2768, loss: 3.2768 2023-12-24 20:21:12,612 - pyskl - INFO - Epoch [97][3300/3405] lr: 6.949e-03, eta: 13:07:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8712, top5_acc: 0.9800, loss_cls: 3.3137, loss: 3.3137 2023-12-24 20:21:37,961 - pyskl - INFO - Epoch [97][3400/3405] lr: 6.942e-03, eta: 13:07:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9006, top5_acc: 0.9831, loss_cls: 3.2348, loss: 3.2348 2023-12-24 20:21:39,923 - pyskl - INFO - Saving checkpoint at 97 epochs 2023-12-24 20:26:03,247 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 20:26:03,869 - pyskl - INFO - top1_acc 0.8261 top5_acc 0.9654 2023-12-24 20:26:03,894 - pyskl - INFO - Epoch(val) [97][3718] top1_acc: 0.8261, top5_acc: 0.9654 2023-12-24 20:26:57,174 - pyskl - INFO - Epoch [98][100/3405] lr: 6.935e-03, eta: 13:07:12, time: 0.533, data_time: 0.279, memory: 5236, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 3.1880, loss: 3.1880 2023-12-24 20:27:22,320 - pyskl - INFO - Epoch [98][200/3405] lr: 6.928e-03, eta: 13:06:45, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8900, top5_acc: 0.9862, loss_cls: 3.2119, loss: 3.2119 2023-12-24 20:27:47,401 - pyskl - INFO - Epoch [98][300/3405] lr: 6.921e-03, eta: 13:06:18, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9087, top5_acc: 0.9875, loss_cls: 3.2005, loss: 3.2005 2023-12-24 20:28:12,331 - pyskl - INFO - Epoch [98][400/3405] lr: 6.915e-03, eta: 13:05:51, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 3.1637, loss: 3.1637 2023-12-24 20:28:37,736 - pyskl - INFO - Epoch [98][500/3405] lr: 6.908e-03, eta: 13:05:25, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 3.1936, loss: 3.1936 2023-12-24 20:29:03,372 - pyskl - INFO - Epoch [98][600/3405] lr: 6.901e-03, eta: 13:04:58, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9069, top5_acc: 0.9862, loss_cls: 3.1986, loss: 3.1986 2023-12-24 20:29:28,859 - pyskl - INFO - Epoch [98][700/3405] lr: 6.894e-03, eta: 13:04:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8988, top5_acc: 0.9919, loss_cls: 3.2071, loss: 3.2071 2023-12-24 20:29:53,965 - pyskl - INFO - Epoch [98][800/3405] lr: 6.887e-03, eta: 13:04:05, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 3.2191, loss: 3.2191 2023-12-24 20:30:19,144 - pyskl - INFO - Epoch [98][900/3405] lr: 6.880e-03, eta: 13:03:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 3.2174, loss: 3.2174 2023-12-24 20:30:44,453 - pyskl - INFO - Epoch [98][1000/3405] lr: 6.873e-03, eta: 13:03:11, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 3.2186, loss: 3.2186 2023-12-24 20:31:09,658 - pyskl - INFO - Epoch [98][1100/3405] lr: 6.867e-03, eta: 13:02:45, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 3.1905, loss: 3.1905 2023-12-24 20:31:34,905 - pyskl - INFO - Epoch [98][1200/3405] lr: 6.860e-03, eta: 13:02:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 3.1913, loss: 3.1913 2023-12-24 20:31:59,851 - pyskl - INFO - Epoch [98][1300/3405] lr: 6.853e-03, eta: 13:01:51, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9044, top5_acc: 0.9862, loss_cls: 3.2163, loss: 3.2163 2023-12-24 20:32:25,359 - pyskl - INFO - Epoch [98][1400/3405] lr: 6.846e-03, eta: 13:01:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 3.2058, loss: 3.2058 2023-12-24 20:32:50,991 - pyskl - INFO - Epoch [98][1500/3405] lr: 6.839e-03, eta: 13:00:58, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8856, top5_acc: 0.9912, loss_cls: 3.2397, loss: 3.2397 2023-12-24 20:33:16,368 - pyskl - INFO - Epoch [98][1600/3405] lr: 6.832e-03, eta: 13:00:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 3.2271, loss: 3.2271 2023-12-24 20:33:41,746 - pyskl - INFO - Epoch [98][1700/3405] lr: 6.825e-03, eta: 13:00:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 3.2540, loss: 3.2540 2023-12-24 20:34:07,006 - pyskl - INFO - Epoch [98][1800/3405] lr: 6.819e-03, eta: 12:59:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 3.2322, loss: 3.2322 2023-12-24 20:34:32,613 - pyskl - INFO - Epoch [98][1900/3405] lr: 6.812e-03, eta: 12:59:12, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8919, top5_acc: 0.9912, loss_cls: 3.2250, loss: 3.2250 2023-12-24 20:34:58,009 - pyskl - INFO - Epoch [98][2000/3405] lr: 6.805e-03, eta: 12:58:45, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 3.2274, loss: 3.2274 2023-12-24 20:35:23,304 - pyskl - INFO - Epoch [98][2100/3405] lr: 6.798e-03, eta: 12:58:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8894, top5_acc: 0.9831, loss_cls: 3.2562, loss: 3.2562 2023-12-24 20:35:48,600 - pyskl - INFO - Epoch [98][2200/3405] lr: 6.791e-03, eta: 12:57:52, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 3.2184, loss: 3.2184 2023-12-24 20:36:14,303 - pyskl - INFO - Epoch [98][2300/3405] lr: 6.784e-03, eta: 12:57:25, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 3.2177, loss: 3.2177 2023-12-24 20:36:39,459 - pyskl - INFO - Epoch [98][2400/3405] lr: 6.777e-03, eta: 12:56:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 3.2361, loss: 3.2361 2023-12-24 20:37:04,912 - pyskl - INFO - Epoch [98][2500/3405] lr: 6.771e-03, eta: 12:56:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 3.2260, loss: 3.2260 2023-12-24 20:37:30,696 - pyskl - INFO - Epoch [98][2600/3405] lr: 6.764e-03, eta: 12:56:06, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 3.2743, loss: 3.2743 2023-12-24 20:37:56,136 - pyskl - INFO - Epoch [98][2700/3405] lr: 6.757e-03, eta: 12:55:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 3.2589, loss: 3.2589 2023-12-24 20:38:21,385 - pyskl - INFO - Epoch [98][2800/3405] lr: 6.750e-03, eta: 12:55:12, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8900, top5_acc: 0.9875, loss_cls: 3.2537, loss: 3.2537 2023-12-24 20:38:46,899 - pyskl - INFO - Epoch [98][2900/3405] lr: 6.743e-03, eta: 12:54:46, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9781, loss_cls: 3.2789, loss: 3.2789 2023-12-24 20:39:12,387 - pyskl - INFO - Epoch [98][3000/3405] lr: 6.736e-03, eta: 12:54:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8888, top5_acc: 0.9869, loss_cls: 3.2365, loss: 3.2365 2023-12-24 20:39:37,535 - pyskl - INFO - Epoch [98][3100/3405] lr: 6.730e-03, eta: 12:53:53, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8725, top5_acc: 0.9831, loss_cls: 3.2832, loss: 3.2832 2023-12-24 20:40:02,800 - pyskl - INFO - Epoch [98][3200/3405] lr: 6.723e-03, eta: 12:53:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 3.2171, loss: 3.2171 2023-12-24 20:40:28,261 - pyskl - INFO - Epoch [98][3300/3405] lr: 6.716e-03, eta: 12:52:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8694, top5_acc: 0.9862, loss_cls: 3.2780, loss: 3.2780 2023-12-24 20:40:53,626 - pyskl - INFO - Epoch [98][3400/3405] lr: 6.709e-03, eta: 12:52:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 3.2318, loss: 3.2318 2023-12-24 20:40:55,520 - pyskl - INFO - Saving checkpoint at 98 epochs 2023-12-24 20:45:19,160 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 20:45:19,820 - pyskl - INFO - top1_acc 0.8323 top5_acc 0.9674 2023-12-24 20:45:19,845 - pyskl - INFO - Epoch(val) [98][3718] top1_acc: 0.8323, top5_acc: 0.9674 2023-12-24 20:46:13,110 - pyskl - INFO - Epoch [99][100/3405] lr: 6.702e-03, eta: 12:52:19, time: 0.533, data_time: 0.281, memory: 5236, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 3.2061, loss: 3.2061 2023-12-24 20:46:38,105 - pyskl - INFO - Epoch [99][200/3405] lr: 6.695e-03, eta: 12:51:52, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 3.1789, loss: 3.1789 2023-12-24 20:47:03,103 - pyskl - INFO - Epoch [99][300/3405] lr: 6.688e-03, eta: 12:51:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 3.2014, loss: 3.2014 2023-12-24 20:47:28,354 - pyskl - INFO - Epoch [99][400/3405] lr: 6.682e-03, eta: 12:50:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 3.1965, loss: 3.1965 2023-12-24 20:47:53,772 - pyskl - INFO - Epoch [99][500/3405] lr: 6.675e-03, eta: 12:50:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 3.2191, loss: 3.2191 2023-12-24 20:48:19,259 - pyskl - INFO - Epoch [99][600/3405] lr: 6.668e-03, eta: 12:50:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 3.2161, loss: 3.2161 2023-12-24 20:48:44,935 - pyskl - INFO - Epoch [99][700/3405] lr: 6.661e-03, eta: 12:49:39, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 3.1861, loss: 3.1861 2023-12-24 20:49:10,296 - pyskl - INFO - Epoch [99][800/3405] lr: 6.654e-03, eta: 12:49:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8900, top5_acc: 0.9900, loss_cls: 3.2243, loss: 3.2243 2023-12-24 20:49:35,356 - pyskl - INFO - Epoch [99][900/3405] lr: 6.648e-03, eta: 12:48:46, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 3.2264, loss: 3.2264 2023-12-24 20:50:00,577 - pyskl - INFO - Epoch [99][1000/3405] lr: 6.641e-03, eta: 12:48:19, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 3.2294, loss: 3.2294 2023-12-24 20:50:25,499 - pyskl - INFO - Epoch [99][1100/3405] lr: 6.634e-03, eta: 12:47:52, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8956, top5_acc: 0.9912, loss_cls: 3.2323, loss: 3.2323 2023-12-24 20:50:50,432 - pyskl - INFO - Epoch [99][1200/3405] lr: 6.627e-03, eta: 12:47:25, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 3.2168, loss: 3.2168 2023-12-24 20:51:15,352 - pyskl - INFO - Epoch [99][1300/3405] lr: 6.620e-03, eta: 12:46:58, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8981, top5_acc: 0.9938, loss_cls: 3.2026, loss: 3.2026 2023-12-24 20:51:40,352 - pyskl - INFO - Epoch [99][1400/3405] lr: 6.614e-03, eta: 12:46:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 3.1993, loss: 3.1993 2023-12-24 20:52:05,769 - pyskl - INFO - Epoch [99][1500/3405] lr: 6.607e-03, eta: 12:46:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 3.2170, loss: 3.2170 2023-12-24 20:52:31,200 - pyskl - INFO - Epoch [99][1600/3405] lr: 6.600e-03, eta: 12:45:38, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9944, loss_cls: 3.1586, loss: 3.1586 2023-12-24 20:52:56,317 - pyskl - INFO - Epoch [99][1700/3405] lr: 6.593e-03, eta: 12:45:12, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 3.1789, loss: 3.1789 2023-12-24 20:53:21,745 - pyskl - INFO - Epoch [99][1800/3405] lr: 6.587e-03, eta: 12:44:45, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8925, top5_acc: 0.9825, loss_cls: 3.2307, loss: 3.2307 2023-12-24 20:53:47,163 - pyskl - INFO - Epoch [99][1900/3405] lr: 6.580e-03, eta: 12:44:18, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 3.2369, loss: 3.2369 2023-12-24 20:54:12,580 - pyskl - INFO - Epoch [99][2000/3405] lr: 6.573e-03, eta: 12:43:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 3.2039, loss: 3.2039 2023-12-24 20:54:38,162 - pyskl - INFO - Epoch [99][2100/3405] lr: 6.566e-03, eta: 12:43:25, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 3.2464, loss: 3.2464 2023-12-24 20:55:03,473 - pyskl - INFO - Epoch [99][2200/3405] lr: 6.559e-03, eta: 12:42:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8894, top5_acc: 0.9906, loss_cls: 3.2291, loss: 3.2291 2023-12-24 20:55:28,740 - pyskl - INFO - Epoch [99][2300/3405] lr: 6.553e-03, eta: 12:42:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8875, top5_acc: 0.9931, loss_cls: 3.2478, loss: 3.2478 2023-12-24 20:55:54,161 - pyskl - INFO - Epoch [99][2400/3405] lr: 6.546e-03, eta: 12:42:06, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8838, top5_acc: 0.9788, loss_cls: 3.2741, loss: 3.2741 2023-12-24 20:56:19,714 - pyskl - INFO - Epoch [99][2500/3405] lr: 6.539e-03, eta: 12:41:39, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8838, top5_acc: 0.9838, loss_cls: 3.2687, loss: 3.2687 2023-12-24 20:56:45,252 - pyskl - INFO - Epoch [99][2600/3405] lr: 6.532e-03, eta: 12:41:13, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 3.2352, loss: 3.2352 2023-12-24 20:57:11,008 - pyskl - INFO - Epoch [99][2700/3405] lr: 6.526e-03, eta: 12:40:46, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8975, top5_acc: 0.9912, loss_cls: 3.2138, loss: 3.2138 2023-12-24 20:57:36,572 - pyskl - INFO - Epoch [99][2800/3405] lr: 6.519e-03, eta: 12:40:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8831, top5_acc: 0.9850, loss_cls: 3.2328, loss: 3.2328 2023-12-24 20:58:01,832 - pyskl - INFO - Epoch [99][2900/3405] lr: 6.512e-03, eta: 12:39:53, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 3.2259, loss: 3.2259 2023-12-24 20:58:27,092 - pyskl - INFO - Epoch [99][3000/3405] lr: 6.505e-03, eta: 12:39:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8881, top5_acc: 0.9906, loss_cls: 3.2234, loss: 3.2234 2023-12-24 20:58:52,374 - pyskl - INFO - Epoch [99][3100/3405] lr: 6.499e-03, eta: 12:39:00, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8931, top5_acc: 0.9912, loss_cls: 3.2231, loss: 3.2231 2023-12-24 20:59:17,429 - pyskl - INFO - Epoch [99][3200/3405] lr: 6.492e-03, eta: 12:38:33, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 3.2385, loss: 3.2385 2023-12-24 20:59:42,442 - pyskl - INFO - Epoch [99][3300/3405] lr: 6.485e-03, eta: 12:38:06, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 3.2296, loss: 3.2296 2023-12-24 21:00:07,950 - pyskl - INFO - Epoch [99][3400/3405] lr: 6.478e-03, eta: 12:37:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 3.2433, loss: 3.2433 2023-12-24 21:00:09,866 - pyskl - INFO - Saving checkpoint at 99 epochs 2023-12-24 21:04:33,487 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 21:04:34,099 - pyskl - INFO - top1_acc 0.8403 top5_acc 0.9691 2023-12-24 21:04:34,104 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_96.pth was removed 2023-12-24 21:04:34,310 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. 2023-12-24 21:04:34,311 - pyskl - INFO - Best top1_acc is 0.8403 at 99 epoch. 2023-12-24 21:04:34,336 - pyskl - INFO - Epoch(val) [99][3718] top1_acc: 0.8403, top5_acc: 0.9691 2023-12-24 21:05:28,398 - pyskl - INFO - Epoch [100][100/3405] lr: 6.471e-03, eta: 12:37:26, time: 0.541, data_time: 0.287, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 3.1534, loss: 3.1534 2023-12-24 21:05:53,424 - pyskl - INFO - Epoch [100][200/3405] lr: 6.465e-03, eta: 12:36:59, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 3.1914, loss: 3.1914 2023-12-24 21:06:18,461 - pyskl - INFO - Epoch [100][300/3405] lr: 6.458e-03, eta: 12:36:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 3.1780, loss: 3.1780 2023-12-24 21:06:43,891 - pyskl - INFO - Epoch [100][400/3405] lr: 6.451e-03, eta: 12:36:06, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 3.1554, loss: 3.1554 2023-12-24 21:07:09,038 - pyskl - INFO - Epoch [100][500/3405] lr: 6.444e-03, eta: 12:35:39, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 3.1673, loss: 3.1673 2023-12-24 21:07:34,901 - pyskl - INFO - Epoch [100][600/3405] lr: 6.438e-03, eta: 12:35:13, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 3.1692, loss: 3.1692 2023-12-24 21:08:00,310 - pyskl - INFO - Epoch [100][700/3405] lr: 6.431e-03, eta: 12:34:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 3.2113, loss: 3.2113 2023-12-24 21:08:25,803 - pyskl - INFO - Epoch [100][800/3405] lr: 6.424e-03, eta: 12:34:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9175, top5_acc: 0.9956, loss_cls: 3.1652, loss: 3.1652 2023-12-24 21:08:51,036 - pyskl - INFO - Epoch [100][900/3405] lr: 6.418e-03, eta: 12:33:53, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9075, top5_acc: 0.9850, loss_cls: 3.2087, loss: 3.2087 2023-12-24 21:09:17,078 - pyskl - INFO - Epoch [100][1000/3405] lr: 6.411e-03, eta: 12:33:27, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 3.2255, loss: 3.2255 2023-12-24 21:09:42,328 - pyskl - INFO - Epoch [100][1100/3405] lr: 6.404e-03, eta: 12:33:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 3.2168, loss: 3.2168 2023-12-24 21:10:07,480 - pyskl - INFO - Epoch [100][1200/3405] lr: 6.397e-03, eta: 12:32:33, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 3.2507, loss: 3.2507 2023-12-24 21:10:32,677 - pyskl - INFO - Epoch [100][1300/3405] lr: 6.391e-03, eta: 12:32:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 3.1962, loss: 3.1962 2023-12-24 21:10:57,888 - pyskl - INFO - Epoch [100][1400/3405] lr: 6.384e-03, eta: 12:31:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 3.1938, loss: 3.1938 2023-12-24 21:11:23,123 - pyskl - INFO - Epoch [100][1500/3405] lr: 6.377e-03, eta: 12:31:13, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 3.1934, loss: 3.1934 2023-12-24 21:11:48,583 - pyskl - INFO - Epoch [100][1600/3405] lr: 6.371e-03, eta: 12:30:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 3.1686, loss: 3.1686 2023-12-24 21:12:13,852 - pyskl - INFO - Epoch [100][1700/3405] lr: 6.364e-03, eta: 12:30:20, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8931, top5_acc: 0.9944, loss_cls: 3.2177, loss: 3.2177 2023-12-24 21:12:39,086 - pyskl - INFO - Epoch [100][1800/3405] lr: 6.357e-03, eta: 12:29:53, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 3.2207, loss: 3.2207 2023-12-24 21:13:04,008 - pyskl - INFO - Epoch [100][1900/3405] lr: 6.351e-03, eta: 12:29:26, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 3.2119, loss: 3.2119 2023-12-24 21:13:28,959 - pyskl - INFO - Epoch [100][2000/3405] lr: 6.344e-03, eta: 12:29:00, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 3.2196, loss: 3.2196 2023-12-24 21:13:53,912 - pyskl - INFO - Epoch [100][2100/3405] lr: 6.337e-03, eta: 12:28:33, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 3.2121, loss: 3.2121 2023-12-24 21:14:18,893 - pyskl - INFO - Epoch [100][2200/3405] lr: 6.330e-03, eta: 12:28:06, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.8906, top5_acc: 0.9906, loss_cls: 3.2366, loss: 3.2366 2023-12-24 21:14:44,092 - pyskl - INFO - Epoch [100][2300/3405] lr: 6.324e-03, eta: 12:27:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 3.2304, loss: 3.2304 2023-12-24 21:15:09,855 - pyskl - INFO - Epoch [100][2400/3405] lr: 6.317e-03, eta: 12:27:13, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 3.2264, loss: 3.2264 2023-12-24 21:15:35,205 - pyskl - INFO - Epoch [100][2500/3405] lr: 6.310e-03, eta: 12:26:46, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8862, top5_acc: 0.9906, loss_cls: 3.2332, loss: 3.2332 2023-12-24 21:16:00,631 - pyskl - INFO - Epoch [100][2600/3405] lr: 6.304e-03, eta: 12:26:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 3.1936, loss: 3.1936 2023-12-24 21:16:25,906 - pyskl - INFO - Epoch [100][2700/3405] lr: 6.297e-03, eta: 12:25:53, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8881, top5_acc: 0.9862, loss_cls: 3.2340, loss: 3.2340 2023-12-24 21:16:51,458 - pyskl - INFO - Epoch [100][2800/3405] lr: 6.290e-03, eta: 12:25:27, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8825, top5_acc: 0.9900, loss_cls: 3.2410, loss: 3.2410 2023-12-24 21:17:16,817 - pyskl - INFO - Epoch [100][2900/3405] lr: 6.284e-03, eta: 12:25:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 3.2134, loss: 3.2134 2023-12-24 21:17:42,070 - pyskl - INFO - Epoch [100][3000/3405] lr: 6.277e-03, eta: 12:24:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 3.2481, loss: 3.2481 2023-12-24 21:18:07,473 - pyskl - INFO - Epoch [100][3100/3405] lr: 6.270e-03, eta: 12:24:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 3.2336, loss: 3.2336 2023-12-24 21:18:32,858 - pyskl - INFO - Epoch [100][3200/3405] lr: 6.264e-03, eta: 12:23:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8812, top5_acc: 0.9900, loss_cls: 3.2317, loss: 3.2317 2023-12-24 21:18:58,263 - pyskl - INFO - Epoch [100][3300/3405] lr: 6.257e-03, eta: 12:23:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 3.1878, loss: 3.1878 2023-12-24 21:19:23,709 - pyskl - INFO - Epoch [100][3400/3405] lr: 6.250e-03, eta: 12:22:47, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8825, top5_acc: 0.9825, loss_cls: 3.2513, loss: 3.2513 2023-12-24 21:19:25,583 - pyskl - INFO - Saving checkpoint at 100 epochs 2023-12-24 21:23:49,033 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 21:23:49,657 - pyskl - INFO - top1_acc 0.8319 top5_acc 0.9673 2023-12-24 21:23:49,683 - pyskl - INFO - Epoch(val) [100][3718] top1_acc: 0.8319, top5_acc: 0.9673 2023-12-24 21:24:43,256 - pyskl - INFO - Epoch [101][100/3405] lr: 6.243e-03, eta: 12:22:33, time: 0.536, data_time: 0.281, memory: 5236, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 3.1942, loss: 3.1942 2023-12-24 21:25:09,254 - pyskl - INFO - Epoch [101][200/3405] lr: 6.237e-03, eta: 12:22:07, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 3.1096, loss: 3.1096 2023-12-24 21:25:34,267 - pyskl - INFO - Epoch [101][300/3405] lr: 6.230e-03, eta: 12:21:40, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 3.1500, loss: 3.1500 2023-12-24 21:25:59,175 - pyskl - INFO - Epoch [101][400/3405] lr: 6.223e-03, eta: 12:21:13, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 3.1909, loss: 3.1909 2023-12-24 21:26:24,087 - pyskl - INFO - Epoch [101][500/3405] lr: 6.217e-03, eta: 12:20:46, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 3.2146, loss: 3.2146 2023-12-24 21:26:49,404 - pyskl - INFO - Epoch [101][600/3405] lr: 6.210e-03, eta: 12:20:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 3.1783, loss: 3.1783 2023-12-24 21:27:15,311 - pyskl - INFO - Epoch [101][700/3405] lr: 6.204e-03, eta: 12:19:53, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 3.1698, loss: 3.1698 2023-12-24 21:27:40,774 - pyskl - INFO - Epoch [101][800/3405] lr: 6.197e-03, eta: 12:19:27, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9062, top5_acc: 0.9931, loss_cls: 3.1876, loss: 3.1876 2023-12-24 21:28:05,928 - pyskl - INFO - Epoch [101][900/3405] lr: 6.190e-03, eta: 12:19:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 3.1805, loss: 3.1805 2023-12-24 21:28:31,418 - pyskl - INFO - Epoch [101][1000/3405] lr: 6.184e-03, eta: 12:18:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 3.2009, loss: 3.2009 2023-12-24 21:28:57,362 - pyskl - INFO - Epoch [101][1100/3405] lr: 6.177e-03, eta: 12:18:07, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8988, top5_acc: 0.9919, loss_cls: 3.2021, loss: 3.2021 2023-12-24 21:29:22,522 - pyskl - INFO - Epoch [101][1200/3405] lr: 6.170e-03, eta: 12:17:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8962, top5_acc: 0.9950, loss_cls: 3.2035, loss: 3.2035 2023-12-24 21:29:47,627 - pyskl - INFO - Epoch [101][1300/3405] lr: 6.164e-03, eta: 12:17:14, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 3.1974, loss: 3.1974 2023-12-24 21:30:12,728 - pyskl - INFO - Epoch [101][1400/3405] lr: 6.157e-03, eta: 12:16:47, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9056, top5_acc: 0.9862, loss_cls: 3.1928, loss: 3.1928 2023-12-24 21:30:38,281 - pyskl - INFO - Epoch [101][1500/3405] lr: 6.150e-03, eta: 12:16:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 3.1953, loss: 3.1953 2023-12-24 21:31:03,721 - pyskl - INFO - Epoch [101][1600/3405] lr: 6.144e-03, eta: 12:15:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9038, top5_acc: 0.9944, loss_cls: 3.2006, loss: 3.2006 2023-12-24 21:31:29,217 - pyskl - INFO - Epoch [101][1700/3405] lr: 6.137e-03, eta: 12:15:27, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9012, top5_acc: 0.9869, loss_cls: 3.2118, loss: 3.2118 2023-12-24 21:31:54,843 - pyskl - INFO - Epoch [101][1800/3405] lr: 6.131e-03, eta: 12:15:01, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 3.2231, loss: 3.2231 2023-12-24 21:32:20,211 - pyskl - INFO - Epoch [101][1900/3405] lr: 6.124e-03, eta: 12:14:34, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8994, top5_acc: 0.9938, loss_cls: 3.2047, loss: 3.2047 2023-12-24 21:32:45,744 - pyskl - INFO - Epoch [101][2000/3405] lr: 6.117e-03, eta: 12:14:08, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 3.2273, loss: 3.2273 2023-12-24 21:33:11,175 - pyskl - INFO - Epoch [101][2100/3405] lr: 6.111e-03, eta: 12:13:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8969, top5_acc: 0.9869, loss_cls: 3.2221, loss: 3.2221 2023-12-24 21:33:36,987 - pyskl - INFO - Epoch [101][2200/3405] lr: 6.104e-03, eta: 12:13:15, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.8925, top5_acc: 0.9919, loss_cls: 3.2007, loss: 3.2007 2023-12-24 21:34:02,500 - pyskl - INFO - Epoch [101][2300/3405] lr: 6.098e-03, eta: 12:12:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 3.1907, loss: 3.1907 2023-12-24 21:34:28,366 - pyskl - INFO - Epoch [101][2400/3405] lr: 6.091e-03, eta: 12:12:22, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8944, top5_acc: 0.9875, loss_cls: 3.2138, loss: 3.2138 2023-12-24 21:34:53,922 - pyskl - INFO - Epoch [101][2500/3405] lr: 6.084e-03, eta: 12:11:56, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9075, top5_acc: 0.9881, loss_cls: 3.1959, loss: 3.1959 2023-12-24 21:35:19,471 - pyskl - INFO - Epoch [101][2600/3405] lr: 6.078e-03, eta: 12:11:29, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 3.2101, loss: 3.2101 2023-12-24 21:35:45,331 - pyskl - INFO - Epoch [101][2700/3405] lr: 6.071e-03, eta: 12:11:03, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 3.2225, loss: 3.2225 2023-12-24 21:36:10,922 - pyskl - INFO - Epoch [101][2800/3405] lr: 6.065e-03, eta: 12:10:36, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 3.2288, loss: 3.2288 2023-12-24 21:36:36,593 - pyskl - INFO - Epoch [101][2900/3405] lr: 6.058e-03, eta: 12:10:10, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 3.2755, loss: 3.2755 2023-12-24 21:37:01,747 - pyskl - INFO - Epoch [101][3000/3405] lr: 6.051e-03, eta: 12:09:43, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8844, top5_acc: 0.9919, loss_cls: 3.2335, loss: 3.2335 2023-12-24 21:37:26,916 - pyskl - INFO - Epoch [101][3100/3405] lr: 6.045e-03, eta: 12:09:17, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8981, top5_acc: 0.9931, loss_cls: 3.2067, loss: 3.2067 2023-12-24 21:37:52,313 - pyskl - INFO - Epoch [101][3200/3405] lr: 6.038e-03, eta: 12:08:50, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 3.1969, loss: 3.1969 2023-12-24 21:38:17,746 - pyskl - INFO - Epoch [101][3300/3405] lr: 6.032e-03, eta: 12:08:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 3.1792, loss: 3.1792 2023-12-24 21:38:42,949 - pyskl - INFO - Epoch [101][3400/3405] lr: 6.025e-03, eta: 12:07:57, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 3.1822, loss: 3.1822 2023-12-24 21:38:44,951 - pyskl - INFO - Saving checkpoint at 101 epochs 2023-12-24 21:43:08,819 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 21:43:09,447 - pyskl - INFO - top1_acc 0.8347 top5_acc 0.9700 2023-12-24 21:43:09,472 - pyskl - INFO - Epoch(val) [101][3718] top1_acc: 0.8347, top5_acc: 0.9700 2023-12-24 21:44:03,188 - pyskl - INFO - Epoch [102][100/3405] lr: 6.018e-03, eta: 12:07:42, time: 0.537, data_time: 0.281, memory: 5236, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 3.1669, loss: 3.1669 2023-12-24 21:44:28,158 - pyskl - INFO - Epoch [102][200/3405] lr: 6.012e-03, eta: 12:07:15, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 3.1366, loss: 3.1366 2023-12-24 21:44:53,476 - pyskl - INFO - Epoch [102][300/3405] lr: 6.005e-03, eta: 12:06:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9219, top5_acc: 0.9906, loss_cls: 3.1482, loss: 3.1482 2023-12-24 21:45:18,763 - pyskl - INFO - Epoch [102][400/3405] lr: 5.998e-03, eta: 12:06:22, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8969, top5_acc: 0.9944, loss_cls: 3.1881, loss: 3.1881 2023-12-24 21:45:43,938 - pyskl - INFO - Epoch [102][500/3405] lr: 5.992e-03, eta: 12:05:55, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 3.1795, loss: 3.1795 2023-12-24 21:46:09,108 - pyskl - INFO - Epoch [102][600/3405] lr: 5.985e-03, eta: 12:05:29, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 3.1930, loss: 3.1930 2023-12-24 21:46:34,663 - pyskl - INFO - Epoch [102][700/3405] lr: 5.979e-03, eta: 12:05:02, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 3.1704, loss: 3.1704 2023-12-24 21:47:00,003 - pyskl - INFO - Epoch [102][800/3405] lr: 5.972e-03, eta: 12:04:36, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 3.1536, loss: 3.1536 2023-12-24 21:47:25,336 - pyskl - INFO - Epoch [102][900/3405] lr: 5.966e-03, eta: 12:04:09, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 3.1972, loss: 3.1972 2023-12-24 21:47:50,576 - pyskl - INFO - Epoch [102][1000/3405] lr: 5.959e-03, eta: 12:03:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 3.1946, loss: 3.1946 2023-12-24 21:48:15,832 - pyskl - INFO - Epoch [102][1100/3405] lr: 5.953e-03, eta: 12:03:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9094, top5_acc: 0.9944, loss_cls: 3.1851, loss: 3.1851 2023-12-24 21:48:40,947 - pyskl - INFO - Epoch [102][1200/3405] lr: 5.946e-03, eta: 12:02:49, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 3.1724, loss: 3.1724 2023-12-24 21:49:06,363 - pyskl - INFO - Epoch [102][1300/3405] lr: 5.939e-03, eta: 12:02:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 3.1683, loss: 3.1683 2023-12-24 21:49:31,502 - pyskl - INFO - Epoch [102][1400/3405] lr: 5.933e-03, eta: 12:01:56, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9006, top5_acc: 0.9875, loss_cls: 3.2169, loss: 3.2169 2023-12-24 21:49:56,640 - pyskl - INFO - Epoch [102][1500/3405] lr: 5.926e-03, eta: 12:01:29, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 3.1979, loss: 3.1979 2023-12-24 21:50:22,175 - pyskl - INFO - Epoch [102][1600/3405] lr: 5.920e-03, eta: 12:01:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 3.1925, loss: 3.1925 2023-12-24 21:50:47,557 - pyskl - INFO - Epoch [102][1700/3405] lr: 5.913e-03, eta: 12:00:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 3.1857, loss: 3.1857 2023-12-24 21:51:12,985 - pyskl - INFO - Epoch [102][1800/3405] lr: 5.907e-03, eta: 12:00:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 3.1686, loss: 3.1686 2023-12-24 21:51:38,271 - pyskl - INFO - Epoch [102][1900/3405] lr: 5.900e-03, eta: 11:59:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9075, top5_acc: 0.9869, loss_cls: 3.1811, loss: 3.1811 2023-12-24 21:52:03,753 - pyskl - INFO - Epoch [102][2000/3405] lr: 5.894e-03, eta: 11:59:16, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 3.1930, loss: 3.1930 2023-12-24 21:52:30,092 - pyskl - INFO - Epoch [102][2100/3405] lr: 5.887e-03, eta: 11:58:50, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 3.2225, loss: 3.2225 2023-12-24 21:52:55,759 - pyskl - INFO - Epoch [102][2200/3405] lr: 5.881e-03, eta: 11:58:24, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 3.1869, loss: 3.1869 2023-12-24 21:53:21,581 - pyskl - INFO - Epoch [102][2300/3405] lr: 5.874e-03, eta: 11:57:58, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9062, top5_acc: 0.9875, loss_cls: 3.2153, loss: 3.2153 2023-12-24 21:53:46,907 - pyskl - INFO - Epoch [102][2400/3405] lr: 5.868e-03, eta: 11:57:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 3.2085, loss: 3.2085 2023-12-24 21:54:12,506 - pyskl - INFO - Epoch [102][2500/3405] lr: 5.861e-03, eta: 11:57:05, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9062, top5_acc: 0.9938, loss_cls: 3.1852, loss: 3.1852 2023-12-24 21:54:38,137 - pyskl - INFO - Epoch [102][2600/3405] lr: 5.855e-03, eta: 11:56:38, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 3.2247, loss: 3.2247 2023-12-24 21:55:03,685 - pyskl - INFO - Epoch [102][2700/3405] lr: 5.848e-03, eta: 11:56:12, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9012, top5_acc: 0.9850, loss_cls: 3.2055, loss: 3.2055 2023-12-24 21:55:29,124 - pyskl - INFO - Epoch [102][2800/3405] lr: 5.842e-03, eta: 11:55:45, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 3.1929, loss: 3.1929 2023-12-24 21:55:54,606 - pyskl - INFO - Epoch [102][2900/3405] lr: 5.835e-03, eta: 11:55:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8969, top5_acc: 0.9925, loss_cls: 3.1852, loss: 3.1852 2023-12-24 21:56:19,689 - pyskl - INFO - Epoch [102][3000/3405] lr: 5.829e-03, eta: 11:54:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 3.2077, loss: 3.2077 2023-12-24 21:56:44,726 - pyskl - INFO - Epoch [102][3100/3405] lr: 5.822e-03, eta: 11:54:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 3.1743, loss: 3.1743 2023-12-24 21:57:09,690 - pyskl - INFO - Epoch [102][3200/3405] lr: 5.816e-03, eta: 11:53:58, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 3.1663, loss: 3.1663 2023-12-24 21:57:34,830 - pyskl - INFO - Epoch [102][3300/3405] lr: 5.809e-03, eta: 11:53:32, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9006, top5_acc: 0.9925, loss_cls: 3.2139, loss: 3.2139 2023-12-24 21:57:59,969 - pyskl - INFO - Epoch [102][3400/3405] lr: 5.803e-03, eta: 11:53:05, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8988, top5_acc: 0.9900, loss_cls: 3.2000, loss: 3.2000 2023-12-24 21:58:01,845 - pyskl - INFO - Saving checkpoint at 102 epochs 2023-12-24 22:02:25,770 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 22:02:26,409 - pyskl - INFO - top1_acc 0.8402 top5_acc 0.9679 2023-12-24 22:02:26,434 - pyskl - INFO - Epoch(val) [102][3718] top1_acc: 0.8402, top5_acc: 0.9679 2023-12-24 22:03:19,807 - pyskl - INFO - Epoch [103][100/3405] lr: 5.796e-03, eta: 11:52:50, time: 0.534, data_time: 0.279, memory: 5236, top1_acc: 0.9250, top5_acc: 0.9894, loss_cls: 3.1424, loss: 3.1424 2023-12-24 22:03:45,250 - pyskl - INFO - Epoch [103][200/3405] lr: 5.789e-03, eta: 11:52:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 3.1402, loss: 3.1402 2023-12-24 22:04:10,120 - pyskl - INFO - Epoch [103][300/3405] lr: 5.783e-03, eta: 11:51:56, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 3.1470, loss: 3.1470 2023-12-24 22:04:35,033 - pyskl - INFO - Epoch [103][400/3405] lr: 5.776e-03, eta: 11:51:30, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 3.1320, loss: 3.1320 2023-12-24 22:05:00,133 - pyskl - INFO - Epoch [103][500/3405] lr: 5.770e-03, eta: 11:51:03, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 3.1569, loss: 3.1569 2023-12-24 22:05:25,251 - pyskl - INFO - Epoch [103][600/3405] lr: 5.763e-03, eta: 11:50:36, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 3.1796, loss: 3.1796 2023-12-24 22:05:50,672 - pyskl - INFO - Epoch [103][700/3405] lr: 5.757e-03, eta: 11:50:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9075, top5_acc: 0.9888, loss_cls: 3.1753, loss: 3.1753 2023-12-24 22:06:15,818 - pyskl - INFO - Epoch [103][800/3405] lr: 5.750e-03, eta: 11:49:43, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 3.1995, loss: 3.1995 2023-12-24 22:06:41,081 - pyskl - INFO - Epoch [103][900/3405] lr: 5.744e-03, eta: 11:49:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9081, top5_acc: 0.9950, loss_cls: 3.1560, loss: 3.1560 2023-12-24 22:07:06,239 - pyskl - INFO - Epoch [103][1000/3405] lr: 5.737e-03, eta: 11:48:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 3.1413, loss: 3.1413 2023-12-24 22:07:31,661 - pyskl - INFO - Epoch [103][1100/3405] lr: 5.731e-03, eta: 11:48:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9187, top5_acc: 0.9869, loss_cls: 3.1669, loss: 3.1669 2023-12-24 22:07:56,766 - pyskl - INFO - Epoch [103][1200/3405] lr: 5.725e-03, eta: 11:47:57, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9144, top5_acc: 0.9962, loss_cls: 3.1578, loss: 3.1578 2023-12-24 22:08:21,995 - pyskl - INFO - Epoch [103][1300/3405] lr: 5.718e-03, eta: 11:47:30, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 3.1929, loss: 3.1929 2023-12-24 22:08:47,075 - pyskl - INFO - Epoch [103][1400/3405] lr: 5.712e-03, eta: 11:47:03, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 3.1906, loss: 3.1906 2023-12-24 22:09:12,221 - pyskl - INFO - Epoch [103][1500/3405] lr: 5.705e-03, eta: 11:46:37, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9169, top5_acc: 0.9900, loss_cls: 3.1814, loss: 3.1814 2023-12-24 22:09:37,796 - pyskl - INFO - Epoch [103][1600/3405] lr: 5.699e-03, eta: 11:46:10, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 3.2100, loss: 3.2100 2023-12-24 22:10:03,209 - pyskl - INFO - Epoch [103][1700/3405] lr: 5.692e-03, eta: 11:45:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 3.2148, loss: 3.2148 2023-12-24 22:10:28,492 - pyskl - INFO - Epoch [103][1800/3405] lr: 5.686e-03, eta: 11:45:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 3.1513, loss: 3.1513 2023-12-24 22:10:53,893 - pyskl - INFO - Epoch [103][1900/3405] lr: 5.679e-03, eta: 11:44:50, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 3.2090, loss: 3.2090 2023-12-24 22:11:19,180 - pyskl - INFO - Epoch [103][2000/3405] lr: 5.673e-03, eta: 11:44:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 3.1492, loss: 3.1492 2023-12-24 22:11:44,531 - pyskl - INFO - Epoch [103][2100/3405] lr: 5.666e-03, eta: 11:43:57, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 3.1736, loss: 3.1736 2023-12-24 22:12:09,621 - pyskl - INFO - Epoch [103][2200/3405] lr: 5.660e-03, eta: 11:43:31, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8900, top5_acc: 0.9938, loss_cls: 3.2070, loss: 3.2070 2023-12-24 22:12:35,056 - pyskl - INFO - Epoch [103][2300/3405] lr: 5.654e-03, eta: 11:43:04, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9119, top5_acc: 0.9856, loss_cls: 3.1941, loss: 3.1941 2023-12-24 22:13:01,562 - pyskl - INFO - Epoch [103][2400/3405] lr: 5.647e-03, eta: 11:42:38, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9087, top5_acc: 0.9931, loss_cls: 3.1752, loss: 3.1752 2023-12-24 22:13:27,189 - pyskl - INFO - Epoch [103][2500/3405] lr: 5.641e-03, eta: 11:42:12, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 3.2267, loss: 3.2267 2023-12-24 22:13:52,646 - pyskl - INFO - Epoch [103][2600/3405] lr: 5.634e-03, eta: 11:41:45, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 3.1881, loss: 3.1881 2023-12-24 22:14:18,653 - pyskl - INFO - Epoch [103][2700/3405] lr: 5.628e-03, eta: 11:41:19, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 3.1749, loss: 3.1749 2023-12-24 22:14:43,740 - pyskl - INFO - Epoch [103][2800/3405] lr: 5.621e-03, eta: 11:40:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 3.2419, loss: 3.2419 2023-12-24 22:15:09,269 - pyskl - INFO - Epoch [103][2900/3405] lr: 5.615e-03, eta: 11:40:26, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.8894, top5_acc: 0.9825, loss_cls: 3.2399, loss: 3.2399 2023-12-24 22:15:34,487 - pyskl - INFO - Epoch [103][3000/3405] lr: 5.609e-03, eta: 11:39:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 3.2176, loss: 3.2176 2023-12-24 22:15:59,586 - pyskl - INFO - Epoch [103][3100/3405] lr: 5.602e-03, eta: 11:39:32, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9087, top5_acc: 0.9938, loss_cls: 3.1782, loss: 3.1782 2023-12-24 22:16:24,653 - pyskl - INFO - Epoch [103][3200/3405] lr: 5.596e-03, eta: 11:39:06, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 3.1944, loss: 3.1944 2023-12-24 22:16:49,897 - pyskl - INFO - Epoch [103][3300/3405] lr: 5.589e-03, eta: 11:38:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.8975, top5_acc: 0.9894, loss_cls: 3.2156, loss: 3.2156 2023-12-24 22:17:15,376 - pyskl - INFO - Epoch [103][3400/3405] lr: 5.583e-03, eta: 11:38:13, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 3.1914, loss: 3.1914 2023-12-24 22:17:17,408 - pyskl - INFO - Saving checkpoint at 103 epochs 2023-12-24 22:21:41,907 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 22:21:42,545 - pyskl - INFO - top1_acc 0.8437 top5_acc 0.9697 2023-12-24 22:21:42,555 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_99.pth was removed 2023-12-24 22:21:42,764 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_103.pth. 2023-12-24 22:21:42,765 - pyskl - INFO - Best top1_acc is 0.8437 at 103 epoch. 2023-12-24 22:21:42,790 - pyskl - INFO - Epoch(val) [103][3718] top1_acc: 0.8437, top5_acc: 0.9697 2023-12-24 22:22:35,904 - pyskl - INFO - Epoch [104][100/3405] lr: 5.576e-03, eta: 11:37:57, time: 0.531, data_time: 0.279, memory: 5236, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 3.1407, loss: 3.1407 2023-12-24 22:23:01,225 - pyskl - INFO - Epoch [104][200/3405] lr: 5.570e-03, eta: 11:37:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 3.1491, loss: 3.1491 2023-12-24 22:23:27,717 - pyskl - INFO - Epoch [104][300/3405] lr: 5.563e-03, eta: 11:37:04, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 3.1537, loss: 3.1537 2023-12-24 22:23:53,211 - pyskl - INFO - Epoch [104][400/3405] lr: 5.557e-03, eta: 11:36:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 3.1792, loss: 3.1792 2023-12-24 22:24:18,276 - pyskl - INFO - Epoch [104][500/3405] lr: 5.551e-03, eta: 11:36:11, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 3.1188, loss: 3.1188 2023-12-24 22:24:43,510 - pyskl - INFO - Epoch [104][600/3405] lr: 5.544e-03, eta: 11:35:44, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 3.1547, loss: 3.1547 2023-12-24 22:25:09,081 - pyskl - INFO - Epoch [104][700/3405] lr: 5.538e-03, eta: 11:35:18, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 3.1478, loss: 3.1478 2023-12-24 22:25:34,455 - pyskl - INFO - Epoch [104][800/3405] lr: 5.532e-03, eta: 11:34:51, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 3.1398, loss: 3.1398 2023-12-24 22:26:00,848 - pyskl - INFO - Epoch [104][900/3405] lr: 5.525e-03, eta: 11:34:25, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 3.1375, loss: 3.1375 2023-12-24 22:26:26,157 - pyskl - INFO - Epoch [104][1000/3405] lr: 5.519e-03, eta: 11:33:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9169, top5_acc: 0.9888, loss_cls: 3.1726, loss: 3.1726 2023-12-24 22:26:51,267 - pyskl - INFO - Epoch [104][1100/3405] lr: 5.512e-03, eta: 11:33:32, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 3.1860, loss: 3.1860 2023-12-24 22:27:16,299 - pyskl - INFO - Epoch [104][1200/3405] lr: 5.506e-03, eta: 11:33:05, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 3.1806, loss: 3.1806 2023-12-24 22:27:41,470 - pyskl - INFO - Epoch [104][1300/3405] lr: 5.500e-03, eta: 11:32:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9056, top5_acc: 0.9925, loss_cls: 3.1767, loss: 3.1767 2023-12-24 22:28:06,679 - pyskl - INFO - Epoch [104][1400/3405] lr: 5.493e-03, eta: 11:32:12, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 3.1810, loss: 3.1810 2023-12-24 22:28:31,881 - pyskl - INFO - Epoch [104][1500/3405] lr: 5.487e-03, eta: 11:31:45, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 3.1141, loss: 3.1141 2023-12-24 22:28:57,065 - pyskl - INFO - Epoch [104][1600/3405] lr: 5.481e-03, eta: 11:31:19, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9175, top5_acc: 0.9875, loss_cls: 3.1604, loss: 3.1604 2023-12-24 22:29:22,515 - pyskl - INFO - Epoch [104][1700/3405] lr: 5.474e-03, eta: 11:30:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 3.1711, loss: 3.1711 2023-12-24 22:29:48,144 - pyskl - INFO - Epoch [104][1800/3405] lr: 5.468e-03, eta: 11:30:26, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 3.1975, loss: 3.1975 2023-12-24 22:30:13,648 - pyskl - INFO - Epoch [104][1900/3405] lr: 5.461e-03, eta: 11:29:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9125, top5_acc: 0.9938, loss_cls: 3.1633, loss: 3.1633 2023-12-24 22:30:39,332 - pyskl - INFO - Epoch [104][2000/3405] lr: 5.455e-03, eta: 11:29:33, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9187, top5_acc: 0.9875, loss_cls: 3.1743, loss: 3.1743 2023-12-24 22:31:05,517 - pyskl - INFO - Epoch [104][2100/3405] lr: 5.449e-03, eta: 11:29:07, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 3.1798, loss: 3.1798 2023-12-24 22:31:30,805 - pyskl - INFO - Epoch [104][2200/3405] lr: 5.442e-03, eta: 11:28:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.8994, top5_acc: 0.9956, loss_cls: 3.2095, loss: 3.2095 2023-12-24 22:31:56,072 - pyskl - INFO - Epoch [104][2300/3405] lr: 5.436e-03, eta: 11:28:14, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9119, top5_acc: 0.9962, loss_cls: 3.1634, loss: 3.1634 2023-12-24 22:32:21,156 - pyskl - INFO - Epoch [104][2400/3405] lr: 5.430e-03, eta: 11:27:47, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 3.1488, loss: 3.1488 2023-12-24 22:32:46,176 - pyskl - INFO - Epoch [104][2500/3405] lr: 5.423e-03, eta: 11:27:20, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 3.1476, loss: 3.1476 2023-12-24 22:33:11,518 - pyskl - INFO - Epoch [104][2600/3405] lr: 5.417e-03, eta: 11:26:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 3.1781, loss: 3.1781 2023-12-24 22:33:37,075 - pyskl - INFO - Epoch [104][2700/3405] lr: 5.411e-03, eta: 11:26:27, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 3.1733, loss: 3.1733 2023-12-24 22:34:02,824 - pyskl - INFO - Epoch [104][2800/3405] lr: 5.404e-03, eta: 11:26:01, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 3.1817, loss: 3.1817 2023-12-24 22:34:28,534 - pyskl - INFO - Epoch [104][2900/3405] lr: 5.398e-03, eta: 11:25:35, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 3.1653, loss: 3.1653 2023-12-24 22:34:53,942 - pyskl - INFO - Epoch [104][3000/3405] lr: 5.392e-03, eta: 11:25:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 3.1923, loss: 3.1923 2023-12-24 22:35:20,209 - pyskl - INFO - Epoch [104][3100/3405] lr: 5.385e-03, eta: 11:24:42, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 3.1959, loss: 3.1959 2023-12-24 22:35:45,562 - pyskl - INFO - Epoch [104][3200/3405] lr: 5.379e-03, eta: 11:24:15, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9106, top5_acc: 0.9950, loss_cls: 3.1649, loss: 3.1649 2023-12-24 22:36:10,956 - pyskl - INFO - Epoch [104][3300/3405] lr: 5.373e-03, eta: 11:23:49, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8969, top5_acc: 0.9938, loss_cls: 3.2068, loss: 3.2068 2023-12-24 22:36:36,079 - pyskl - INFO - Epoch [104][3400/3405] lr: 5.366e-03, eta: 11:23:22, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 3.1963, loss: 3.1963 2023-12-24 22:36:37,996 - pyskl - INFO - Saving checkpoint at 104 epochs 2023-12-24 22:41:02,449 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 22:41:03,128 - pyskl - INFO - top1_acc 0.8430 top5_acc 0.9683 2023-12-24 22:41:03,153 - pyskl - INFO - Epoch(val) [104][3718] top1_acc: 0.8430, top5_acc: 0.9683 2023-12-24 22:41:58,372 - pyskl - INFO - Epoch [105][100/3405] lr: 5.360e-03, eta: 11:23:07, time: 0.552, data_time: 0.299, memory: 5236, top1_acc: 0.9219, top5_acc: 0.9962, loss_cls: 3.1285, loss: 3.1285 2023-12-24 22:42:23,452 - pyskl - INFO - Epoch [105][200/3405] lr: 5.354e-03, eta: 11:22:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9925, loss_cls: 3.1186, loss: 3.1186 2023-12-24 22:42:49,191 - pyskl - INFO - Epoch [105][300/3405] lr: 5.347e-03, eta: 11:22:14, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9156, top5_acc: 0.9956, loss_cls: 3.1480, loss: 3.1480 2023-12-24 22:43:14,815 - pyskl - INFO - Epoch [105][400/3405] lr: 5.341e-03, eta: 11:21:47, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9213, top5_acc: 0.9956, loss_cls: 3.1295, loss: 3.1295 2023-12-24 22:43:40,298 - pyskl - INFO - Epoch [105][500/3405] lr: 5.335e-03, eta: 11:21:21, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 3.1045, loss: 3.1045 2023-12-24 22:44:05,667 - pyskl - INFO - Epoch [105][600/3405] lr: 5.328e-03, eta: 11:20:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 3.1434, loss: 3.1434 2023-12-24 22:44:31,490 - pyskl - INFO - Epoch [105][700/3405] lr: 5.322e-03, eta: 11:20:28, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 3.1479, loss: 3.1479 2023-12-24 22:44:56,952 - pyskl - INFO - Epoch [105][800/3405] lr: 5.316e-03, eta: 11:20:02, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9131, top5_acc: 0.9938, loss_cls: 3.1536, loss: 3.1536 2023-12-24 22:45:22,357 - pyskl - INFO - Epoch [105][900/3405] lr: 5.309e-03, eta: 11:19:35, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 3.1497, loss: 3.1497 2023-12-24 22:45:47,778 - pyskl - INFO - Epoch [105][1000/3405] lr: 5.303e-03, eta: 11:19:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 3.1490, loss: 3.1490 2023-12-24 22:46:12,910 - pyskl - INFO - Epoch [105][1100/3405] lr: 5.297e-03, eta: 11:18:42, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 3.1585, loss: 3.1585 2023-12-24 22:46:38,413 - pyskl - INFO - Epoch [105][1200/3405] lr: 5.291e-03, eta: 11:18:15, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 3.1407, loss: 3.1407 2023-12-24 22:47:03,724 - pyskl - INFO - Epoch [105][1300/3405] lr: 5.284e-03, eta: 11:17:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 3.1168, loss: 3.1168 2023-12-24 22:47:29,081 - pyskl - INFO - Epoch [105][1400/3405] lr: 5.278e-03, eta: 11:17:22, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 3.1458, loss: 3.1458 2023-12-24 22:47:54,253 - pyskl - INFO - Epoch [105][1500/3405] lr: 5.272e-03, eta: 11:16:56, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 3.1733, loss: 3.1733 2023-12-24 22:48:19,344 - pyskl - INFO - Epoch [105][1600/3405] lr: 5.265e-03, eta: 11:16:29, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 3.1382, loss: 3.1382 2023-12-24 22:48:45,267 - pyskl - INFO - Epoch [105][1700/3405] lr: 5.259e-03, eta: 11:16:03, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 3.1395, loss: 3.1395 2023-12-24 22:49:10,567 - pyskl - INFO - Epoch [105][1800/3405] lr: 5.253e-03, eta: 11:15:36, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9131, top5_acc: 0.9944, loss_cls: 3.1537, loss: 3.1537 2023-12-24 22:49:35,919 - pyskl - INFO - Epoch [105][1900/3405] lr: 5.247e-03, eta: 11:15:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 3.1679, loss: 3.1679 2023-12-24 22:50:01,378 - pyskl - INFO - Epoch [105][2000/3405] lr: 5.240e-03, eta: 11:14:43, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 3.1471, loss: 3.1471 2023-12-24 22:50:27,802 - pyskl - INFO - Epoch [105][2100/3405] lr: 5.234e-03, eta: 11:14:17, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 3.1533, loss: 3.1533 2023-12-24 22:50:53,830 - pyskl - INFO - Epoch [105][2200/3405] lr: 5.228e-03, eta: 11:13:51, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 3.1482, loss: 3.1482 2023-12-24 22:51:18,817 - pyskl - INFO - Epoch [105][2300/3405] lr: 5.222e-03, eta: 11:13:24, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 3.1890, loss: 3.1890 2023-12-24 22:51:43,893 - pyskl - INFO - Epoch [105][2400/3405] lr: 5.215e-03, eta: 11:12:57, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 3.1850, loss: 3.1850 2023-12-24 22:52:09,385 - pyskl - INFO - Epoch [105][2500/3405] lr: 5.209e-03, eta: 11:12:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 3.1537, loss: 3.1537 2023-12-24 22:52:34,860 - pyskl - INFO - Epoch [105][2600/3405] lr: 5.203e-03, eta: 11:12:04, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 3.1446, loss: 3.1446 2023-12-24 22:53:00,711 - pyskl - INFO - Epoch [105][2700/3405] lr: 5.197e-03, eta: 11:11:38, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 3.1653, loss: 3.1653 2023-12-24 22:53:26,432 - pyskl - INFO - Epoch [105][2800/3405] lr: 5.190e-03, eta: 11:11:12, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9038, top5_acc: 0.9838, loss_cls: 3.2073, loss: 3.2073 2023-12-24 22:53:52,472 - pyskl - INFO - Epoch [105][2900/3405] lr: 5.184e-03, eta: 11:10:46, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 3.1641, loss: 3.1641 2023-12-24 22:54:18,536 - pyskl - INFO - Epoch [105][3000/3405] lr: 5.178e-03, eta: 11:10:19, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 3.1831, loss: 3.1831 2023-12-24 22:54:44,456 - pyskl - INFO - Epoch [105][3100/3405] lr: 5.172e-03, eta: 11:09:53, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9062, top5_acc: 0.9938, loss_cls: 3.1754, loss: 3.1754 2023-12-24 22:55:10,176 - pyskl - INFO - Epoch [105][3200/3405] lr: 5.166e-03, eta: 11:09:27, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9019, top5_acc: 0.9925, loss_cls: 3.1756, loss: 3.1756 2023-12-24 22:55:35,623 - pyskl - INFO - Epoch [105][3300/3405] lr: 5.159e-03, eta: 11:09:00, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.8981, top5_acc: 0.9912, loss_cls: 3.2018, loss: 3.2018 2023-12-24 22:56:02,287 - pyskl - INFO - Epoch [105][3400/3405] lr: 5.153e-03, eta: 11:08:34, time: 0.267, data_time: 0.000, memory: 5236, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 3.1774, loss: 3.1774 2023-12-24 22:56:04,366 - pyskl - INFO - Saving checkpoint at 105 epochs 2023-12-24 23:00:29,768 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 23:00:30,420 - pyskl - INFO - top1_acc 0.8447 top5_acc 0.9691 2023-12-24 23:00:30,425 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_103.pth was removed 2023-12-24 23:00:30,636 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. 2023-12-24 23:00:30,637 - pyskl - INFO - Best top1_acc is 0.8447 at 105 epoch. 2023-12-24 23:00:30,663 - pyskl - INFO - Epoch(val) [105][3718] top1_acc: 0.8447, top5_acc: 0.9691 2023-12-24 23:01:26,215 - pyskl - INFO - Epoch [106][100/3405] lr: 5.147e-03, eta: 11:08:19, time: 0.555, data_time: 0.294, memory: 5236, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 3.1216, loss: 3.1216 2023-12-24 23:01:52,311 - pyskl - INFO - Epoch [106][200/3405] lr: 5.140e-03, eta: 11:07:52, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 3.1356, loss: 3.1356 2023-12-24 23:02:17,612 - pyskl - INFO - Epoch [106][300/3405] lr: 5.134e-03, eta: 11:07:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9888, loss_cls: 3.1419, loss: 3.1419 2023-12-24 23:02:43,126 - pyskl - INFO - Epoch [106][400/3405] lr: 5.128e-03, eta: 11:06:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 3.1231, loss: 3.1231 2023-12-24 23:03:09,400 - pyskl - INFO - Epoch [106][500/3405] lr: 5.122e-03, eta: 11:06:33, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 3.1498, loss: 3.1498 2023-12-24 23:03:34,923 - pyskl - INFO - Epoch [106][600/3405] lr: 5.115e-03, eta: 11:06:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 3.1541, loss: 3.1541 2023-12-24 23:04:00,271 - pyskl - INFO - Epoch [106][700/3405] lr: 5.109e-03, eta: 11:05:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 3.1338, loss: 3.1338 2023-12-24 23:04:25,769 - pyskl - INFO - Epoch [106][800/3405] lr: 5.103e-03, eta: 11:05:14, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 3.1454, loss: 3.1454 2023-12-24 23:04:51,362 - pyskl - INFO - Epoch [106][900/3405] lr: 5.097e-03, eta: 11:04:47, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9119, top5_acc: 0.9944, loss_cls: 3.1622, loss: 3.1622 2023-12-24 23:05:16,613 - pyskl - INFO - Epoch [106][1000/3405] lr: 5.091e-03, eta: 11:04:21, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 3.1440, loss: 3.1440 2023-12-24 23:05:42,007 - pyskl - INFO - Epoch [106][1100/3405] lr: 5.084e-03, eta: 11:03:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 3.1336, loss: 3.1336 2023-12-24 23:06:07,215 - pyskl - INFO - Epoch [106][1200/3405] lr: 5.078e-03, eta: 11:03:28, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 3.1649, loss: 3.1649 2023-12-24 23:06:32,604 - pyskl - INFO - Epoch [106][1300/3405] lr: 5.072e-03, eta: 11:03:01, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 3.1692, loss: 3.1692 2023-12-24 23:06:58,029 - pyskl - INFO - Epoch [106][1400/3405] lr: 5.066e-03, eta: 11:02:35, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 3.1385, loss: 3.1385 2023-12-24 23:07:23,308 - pyskl - INFO - Epoch [106][1500/3405] lr: 5.060e-03, eta: 11:02:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 3.1738, loss: 3.1738 2023-12-24 23:07:48,891 - pyskl - INFO - Epoch [106][1600/3405] lr: 5.054e-03, eta: 11:01:42, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 3.1449, loss: 3.1449 2023-12-24 23:08:14,336 - pyskl - INFO - Epoch [106][1700/3405] lr: 5.047e-03, eta: 11:01:15, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 3.1520, loss: 3.1520 2023-12-24 23:08:39,793 - pyskl - INFO - Epoch [106][1800/3405] lr: 5.041e-03, eta: 11:00:49, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 3.1985, loss: 3.1985 2023-12-24 23:09:05,479 - pyskl - INFO - Epoch [106][1900/3405] lr: 5.035e-03, eta: 11:00:22, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 3.1636, loss: 3.1636 2023-12-24 23:09:30,925 - pyskl - INFO - Epoch [106][2000/3405] lr: 5.029e-03, eta: 10:59:56, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9175, top5_acc: 0.9950, loss_cls: 3.1505, loss: 3.1505 2023-12-24 23:09:56,296 - pyskl - INFO - Epoch [106][2100/3405] lr: 5.023e-03, eta: 10:59:29, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 3.1498, loss: 3.1498 2023-12-24 23:10:21,983 - pyskl - INFO - Epoch [106][2200/3405] lr: 5.017e-03, eta: 10:59:03, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 3.1974, loss: 3.1974 2023-12-24 23:10:47,447 - pyskl - INFO - Epoch [106][2300/3405] lr: 5.010e-03, eta: 10:58:36, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 3.1495, loss: 3.1495 2023-12-24 23:11:12,613 - pyskl - INFO - Epoch [106][2400/3405] lr: 5.004e-03, eta: 10:58:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9137, top5_acc: 0.9881, loss_cls: 3.1680, loss: 3.1680 2023-12-24 23:11:37,714 - pyskl - INFO - Epoch [106][2500/3405] lr: 4.998e-03, eta: 10:57:43, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 3.1663, loss: 3.1663 2023-12-24 23:12:03,681 - pyskl - INFO - Epoch [106][2600/3405] lr: 4.992e-03, eta: 10:57:17, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 3.1743, loss: 3.1743 2023-12-24 23:12:29,463 - pyskl - INFO - Epoch [106][2700/3405] lr: 4.986e-03, eta: 10:56:50, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9194, top5_acc: 0.9894, loss_cls: 3.1730, loss: 3.1730 2023-12-24 23:12:54,786 - pyskl - INFO - Epoch [106][2800/3405] lr: 4.980e-03, eta: 10:56:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 3.1302, loss: 3.1302 2023-12-24 23:13:20,688 - pyskl - INFO - Epoch [106][2900/3405] lr: 4.974e-03, eta: 10:55:58, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 3.1272, loss: 3.1272 2023-12-24 23:13:46,018 - pyskl - INFO - Epoch [106][3000/3405] lr: 4.967e-03, eta: 10:55:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 3.1681, loss: 3.1681 2023-12-24 23:14:11,203 - pyskl - INFO - Epoch [106][3100/3405] lr: 4.961e-03, eta: 10:55:04, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 3.1635, loss: 3.1635 2023-12-24 23:14:36,738 - pyskl - INFO - Epoch [106][3200/3405] lr: 4.955e-03, eta: 10:54:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 3.1592, loss: 3.1592 2023-12-24 23:15:02,049 - pyskl - INFO - Epoch [106][3300/3405] lr: 4.949e-03, eta: 10:54:11, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 3.1491, loss: 3.1491 2023-12-24 23:15:28,246 - pyskl - INFO - Epoch [106][3400/3405] lr: 4.943e-03, eta: 10:53:45, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9156, top5_acc: 0.9888, loss_cls: 3.1699, loss: 3.1699 2023-12-24 23:15:30,439 - pyskl - INFO - Saving checkpoint at 106 epochs 2023-12-24 23:19:55,742 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 23:19:56,455 - pyskl - INFO - top1_acc 0.8391 top5_acc 0.9686 2023-12-24 23:19:56,480 - pyskl - INFO - Epoch(val) [106][3718] top1_acc: 0.8391, top5_acc: 0.9686 2023-12-24 23:20:51,362 - pyskl - INFO - Epoch [107][100/3405] lr: 4.936e-03, eta: 10:53:29, time: 0.549, data_time: 0.298, memory: 5236, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 3.1159, loss: 3.1159 2023-12-24 23:21:16,441 - pyskl - INFO - Epoch [107][200/3405] lr: 4.930e-03, eta: 10:53:03, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 3.0933, loss: 3.0933 2023-12-24 23:21:41,488 - pyskl - INFO - Epoch [107][300/3405] lr: 4.924e-03, eta: 10:52:36, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 3.1100, loss: 3.1100 2023-12-24 23:22:06,599 - pyskl - INFO - Epoch [107][400/3405] lr: 4.918e-03, eta: 10:52:09, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9962, loss_cls: 3.1345, loss: 3.1345 2023-12-24 23:22:31,660 - pyskl - INFO - Epoch [107][500/3405] lr: 4.912e-03, eta: 10:51:43, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 3.0894, loss: 3.0894 2023-12-24 23:22:56,951 - pyskl - INFO - Epoch [107][600/3405] lr: 4.906e-03, eta: 10:51:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 3.1079, loss: 3.1079 2023-12-24 23:23:22,199 - pyskl - INFO - Epoch [107][700/3405] lr: 4.900e-03, eta: 10:50:49, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 3.1074, loss: 3.1074 2023-12-24 23:23:47,331 - pyskl - INFO - Epoch [107][800/3405] lr: 4.894e-03, eta: 10:50:23, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9281, top5_acc: 0.9969, loss_cls: 3.1049, loss: 3.1049 2023-12-24 23:24:12,939 - pyskl - INFO - Epoch [107][900/3405] lr: 4.888e-03, eta: 10:49:56, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 3.1445, loss: 3.1445 2023-12-24 23:24:38,446 - pyskl - INFO - Epoch [107][1000/3405] lr: 4.881e-03, eta: 10:49:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9287, top5_acc: 0.9981, loss_cls: 3.1074, loss: 3.1074 2023-12-24 23:25:03,615 - pyskl - INFO - Epoch [107][1100/3405] lr: 4.875e-03, eta: 10:49:03, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9300, top5_acc: 0.9912, loss_cls: 3.1264, loss: 3.1264 2023-12-24 23:25:28,915 - pyskl - INFO - Epoch [107][1200/3405] lr: 4.869e-03, eta: 10:48:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 3.1365, loss: 3.1365 2023-12-24 23:25:54,461 - pyskl - INFO - Epoch [107][1300/3405] lr: 4.863e-03, eta: 10:48:10, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 3.1693, loss: 3.1693 2023-12-24 23:26:19,833 - pyskl - INFO - Epoch [107][1400/3405] lr: 4.857e-03, eta: 10:47:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 3.1063, loss: 3.1063 2023-12-24 23:26:44,982 - pyskl - INFO - Epoch [107][1500/3405] lr: 4.851e-03, eta: 10:47:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 3.1258, loss: 3.1258 2023-12-24 23:27:10,524 - pyskl - INFO - Epoch [107][1600/3405] lr: 4.845e-03, eta: 10:46:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 3.1554, loss: 3.1554 2023-12-24 23:27:36,448 - pyskl - INFO - Epoch [107][1700/3405] lr: 4.839e-03, eta: 10:46:24, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 3.1132, loss: 3.1132 2023-12-24 23:28:02,062 - pyskl - INFO - Epoch [107][1800/3405] lr: 4.833e-03, eta: 10:45:58, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 3.1337, loss: 3.1337 2023-12-24 23:28:27,748 - pyskl - INFO - Epoch [107][1900/3405] lr: 4.827e-03, eta: 10:45:32, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 3.1490, loss: 3.1490 2023-12-24 23:28:53,107 - pyskl - INFO - Epoch [107][2000/3405] lr: 4.821e-03, eta: 10:45:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 3.1433, loss: 3.1433 2023-12-24 23:29:18,811 - pyskl - INFO - Epoch [107][2100/3405] lr: 4.815e-03, eta: 10:44:39, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 3.1748, loss: 3.1748 2023-12-24 23:29:43,950 - pyskl - INFO - Epoch [107][2200/3405] lr: 4.809e-03, eta: 10:44:12, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 3.1581, loss: 3.1581 2023-12-24 23:30:09,136 - pyskl - INFO - Epoch [107][2300/3405] lr: 4.802e-03, eta: 10:43:46, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9944, loss_cls: 3.1613, loss: 3.1613 2023-12-24 23:30:34,521 - pyskl - INFO - Epoch [107][2400/3405] lr: 4.796e-03, eta: 10:43:19, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9181, top5_acc: 0.9956, loss_cls: 3.1438, loss: 3.1438 2023-12-24 23:31:00,025 - pyskl - INFO - Epoch [107][2500/3405] lr: 4.790e-03, eta: 10:42:53, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 3.1420, loss: 3.1420 2023-12-24 23:31:25,330 - pyskl - INFO - Epoch [107][2600/3405] lr: 4.784e-03, eta: 10:42:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 3.1461, loss: 3.1461 2023-12-24 23:31:50,835 - pyskl - INFO - Epoch [107][2700/3405] lr: 4.778e-03, eta: 10:42:00, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 3.1655, loss: 3.1655 2023-12-24 23:32:16,218 - pyskl - INFO - Epoch [107][2800/3405] lr: 4.772e-03, eta: 10:41:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 3.1974, loss: 3.1974 2023-12-24 23:32:41,564 - pyskl - INFO - Epoch [107][2900/3405] lr: 4.766e-03, eta: 10:41:07, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 3.1540, loss: 3.1540 2023-12-24 23:33:08,164 - pyskl - INFO - Epoch [107][3000/3405] lr: 4.760e-03, eta: 10:40:41, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.9062, top5_acc: 0.9956, loss_cls: 3.1707, loss: 3.1707 2023-12-24 23:33:33,933 - pyskl - INFO - Epoch [107][3100/3405] lr: 4.754e-03, eta: 10:40:14, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 3.1528, loss: 3.1528 2023-12-24 23:33:59,233 - pyskl - INFO - Epoch [107][3200/3405] lr: 4.748e-03, eta: 10:39:48, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9056, top5_acc: 0.9925, loss_cls: 3.1846, loss: 3.1846 2023-12-24 23:34:24,321 - pyskl - INFO - Epoch [107][3300/3405] lr: 4.742e-03, eta: 10:39:21, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 3.1514, loss: 3.1514 2023-12-24 23:34:50,123 - pyskl - INFO - Epoch [107][3400/3405] lr: 4.736e-03, eta: 10:38:55, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 3.1427, loss: 3.1427 2023-12-24 23:34:52,260 - pyskl - INFO - Saving checkpoint at 107 epochs 2023-12-24 23:39:17,062 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 23:39:17,676 - pyskl - INFO - top1_acc 0.8516 top5_acc 0.9709 2023-12-24 23:39:17,681 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_105.pth was removed 2023-12-24 23:39:17,886 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. 2023-12-24 23:39:17,887 - pyskl - INFO - Best top1_acc is 0.8516 at 107 epoch. 2023-12-24 23:39:17,912 - pyskl - INFO - Epoch(val) [107][3718] top1_acc: 0.8516, top5_acc: 0.9709 2023-12-24 23:40:11,273 - pyskl - INFO - Epoch [108][100/3405] lr: 4.730e-03, eta: 10:38:38, time: 0.534, data_time: 0.278, memory: 5236, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 3.1290, loss: 3.1290 2023-12-24 23:40:36,349 - pyskl - INFO - Epoch [108][200/3405] lr: 4.724e-03, eta: 10:38:11, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 3.1130, loss: 3.1130 2023-12-24 23:41:01,375 - pyskl - INFO - Epoch [108][300/3405] lr: 4.718e-03, eta: 10:37:44, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 3.0988, loss: 3.0988 2023-12-24 23:41:26,601 - pyskl - INFO - Epoch [108][400/3405] lr: 4.712e-03, eta: 10:37:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 3.1018, loss: 3.1018 2023-12-24 23:41:51,846 - pyskl - INFO - Epoch [108][500/3405] lr: 4.706e-03, eta: 10:36:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 3.1043, loss: 3.1043 2023-12-24 23:42:17,120 - pyskl - INFO - Epoch [108][600/3405] lr: 4.700e-03, eta: 10:36:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 3.0935, loss: 3.0935 2023-12-24 23:42:42,662 - pyskl - INFO - Epoch [108][700/3405] lr: 4.694e-03, eta: 10:35:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 3.1062, loss: 3.1062 2023-12-24 23:43:07,959 - pyskl - INFO - Epoch [108][800/3405] lr: 4.688e-03, eta: 10:35:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 3.1171, loss: 3.1171 2023-12-24 23:43:33,474 - pyskl - INFO - Epoch [108][900/3405] lr: 4.682e-03, eta: 10:35:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 3.0783, loss: 3.0783 2023-12-24 23:43:58,924 - pyskl - INFO - Epoch [108][1000/3405] lr: 4.676e-03, eta: 10:34:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9256, top5_acc: 0.9900, loss_cls: 3.1456, loss: 3.1456 2023-12-24 23:44:24,642 - pyskl - INFO - Epoch [108][1100/3405] lr: 4.670e-03, eta: 10:34:12, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 3.1249, loss: 3.1249 2023-12-24 23:44:49,922 - pyskl - INFO - Epoch [108][1200/3405] lr: 4.664e-03, eta: 10:33:46, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 3.0957, loss: 3.0957 2023-12-24 23:45:15,189 - pyskl - INFO - Epoch [108][1300/3405] lr: 4.658e-03, eta: 10:33:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9287, top5_acc: 0.9975, loss_cls: 3.1051, loss: 3.1051 2023-12-24 23:45:40,422 - pyskl - INFO - Epoch [108][1400/3405] lr: 4.652e-03, eta: 10:32:53, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 3.1133, loss: 3.1133 2023-12-24 23:46:05,583 - pyskl - INFO - Epoch [108][1500/3405] lr: 4.646e-03, eta: 10:32:26, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 3.0964, loss: 3.0964 2023-12-24 23:46:30,777 - pyskl - INFO - Epoch [108][1600/3405] lr: 4.640e-03, eta: 10:31:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 3.1032, loss: 3.1032 2023-12-24 23:46:56,181 - pyskl - INFO - Epoch [108][1700/3405] lr: 4.634e-03, eta: 10:31:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 3.1361, loss: 3.1361 2023-12-24 23:47:21,772 - pyskl - INFO - Epoch [108][1800/3405] lr: 4.628e-03, eta: 10:31:07, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9169, top5_acc: 0.9956, loss_cls: 3.1311, loss: 3.1311 2023-12-24 23:47:47,112 - pyskl - INFO - Epoch [108][1900/3405] lr: 4.622e-03, eta: 10:30:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 3.1452, loss: 3.1452 2023-12-24 23:48:12,758 - pyskl - INFO - Epoch [108][2000/3405] lr: 4.616e-03, eta: 10:30:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9075, top5_acc: 0.9944, loss_cls: 3.1714, loss: 3.1714 2023-12-24 23:48:38,334 - pyskl - INFO - Epoch [108][2100/3405] lr: 4.610e-03, eta: 10:29:47, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 3.1578, loss: 3.1578 2023-12-24 23:49:04,084 - pyskl - INFO - Epoch [108][2200/3405] lr: 4.604e-03, eta: 10:29:21, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 3.1500, loss: 3.1500 2023-12-24 23:49:29,359 - pyskl - INFO - Epoch [108][2300/3405] lr: 4.598e-03, eta: 10:28:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 3.1098, loss: 3.1098 2023-12-24 23:49:54,769 - pyskl - INFO - Epoch [108][2400/3405] lr: 4.592e-03, eta: 10:28:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 3.1307, loss: 3.1307 2023-12-24 23:50:20,222 - pyskl - INFO - Epoch [108][2500/3405] lr: 4.586e-03, eta: 10:28:01, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9156, top5_acc: 0.9888, loss_cls: 3.1675, loss: 3.1675 2023-12-24 23:50:45,636 - pyskl - INFO - Epoch [108][2600/3405] lr: 4.580e-03, eta: 10:27:35, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9106, top5_acc: 0.9944, loss_cls: 3.1551, loss: 3.1551 2023-12-24 23:51:11,356 - pyskl - INFO - Epoch [108][2700/3405] lr: 4.574e-03, eta: 10:27:09, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 3.1655, loss: 3.1655 2023-12-24 23:51:37,025 - pyskl - INFO - Epoch [108][2800/3405] lr: 4.568e-03, eta: 10:26:42, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 3.1648, loss: 3.1648 2023-12-24 23:52:02,324 - pyskl - INFO - Epoch [108][2900/3405] lr: 4.562e-03, eta: 10:26:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 3.1609, loss: 3.1609 2023-12-24 23:52:27,566 - pyskl - INFO - Epoch [108][3000/3405] lr: 4.556e-03, eta: 10:25:49, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 3.1381, loss: 3.1381 2023-12-24 23:52:52,809 - pyskl - INFO - Epoch [108][3100/3405] lr: 4.550e-03, eta: 10:25:22, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 3.1403, loss: 3.1403 2023-12-24 23:53:18,159 - pyskl - INFO - Epoch [108][3200/3405] lr: 4.544e-03, eta: 10:24:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9087, top5_acc: 0.9944, loss_cls: 3.1743, loss: 3.1743 2023-12-24 23:53:43,391 - pyskl - INFO - Epoch [108][3300/3405] lr: 4.538e-03, eta: 10:24:29, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 3.1984, loss: 3.1984 2023-12-24 23:54:08,860 - pyskl - INFO - Epoch [108][3400/3405] lr: 4.533e-03, eta: 10:24:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 3.1567, loss: 3.1567 2023-12-24 23:54:10,961 - pyskl - INFO - Saving checkpoint at 108 epochs 2023-12-24 23:58:34,297 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 23:58:34,951 - pyskl - INFO - top1_acc 0.8434 top5_acc 0.9698 2023-12-24 23:58:34,977 - pyskl - INFO - Epoch(val) [108][3718] top1_acc: 0.8434, top5_acc: 0.9698 2023-12-24 23:59:27,750 - pyskl - INFO - Epoch [109][100/3405] lr: 4.526e-03, eta: 10:23:45, time: 0.528, data_time: 0.272, memory: 5236, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 3.1033, loss: 3.1033 2023-12-24 23:59:53,436 - pyskl - INFO - Epoch [109][200/3405] lr: 4.520e-03, eta: 10:23:19, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9425, top5_acc: 0.9931, loss_cls: 3.0949, loss: 3.0949 2023-12-25 00:00:19,129 - pyskl - INFO - Epoch [109][300/3405] lr: 4.515e-03, eta: 10:22:53, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 3.0984, loss: 3.0984 2023-12-25 00:00:44,431 - pyskl - INFO - Epoch [109][400/3405] lr: 4.509e-03, eta: 10:22:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 3.1135, loss: 3.1135 2023-12-25 00:01:09,737 - pyskl - INFO - Epoch [109][500/3405] lr: 4.503e-03, eta: 10:21:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 3.0737, loss: 3.0737 2023-12-25 00:01:35,031 - pyskl - INFO - Epoch [109][600/3405] lr: 4.497e-03, eta: 10:21:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 3.0933, loss: 3.0933 2023-12-25 00:02:00,868 - pyskl - INFO - Epoch [109][700/3405] lr: 4.491e-03, eta: 10:21:07, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 3.1207, loss: 3.1207 2023-12-25 00:02:26,520 - pyskl - INFO - Epoch [109][800/3405] lr: 4.485e-03, eta: 10:20:40, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 3.0951, loss: 3.0951 2023-12-25 00:02:51,839 - pyskl - INFO - Epoch [109][900/3405] lr: 4.479e-03, eta: 10:20:14, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 3.1008, loss: 3.1008 2023-12-25 00:03:17,320 - pyskl - INFO - Epoch [109][1000/3405] lr: 4.473e-03, eta: 10:19:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 3.1028, loss: 3.1028 2023-12-25 00:03:42,837 - pyskl - INFO - Epoch [109][1100/3405] lr: 4.467e-03, eta: 10:19:21, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 3.1217, loss: 3.1217 2023-12-25 00:04:08,266 - pyskl - INFO - Epoch [109][1200/3405] lr: 4.461e-03, eta: 10:18:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 3.1064, loss: 3.1064 2023-12-25 00:04:34,203 - pyskl - INFO - Epoch [109][1300/3405] lr: 4.455e-03, eta: 10:18:28, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 3.1270, loss: 3.1270 2023-12-25 00:04:59,392 - pyskl - INFO - Epoch [109][1400/3405] lr: 4.450e-03, eta: 10:18:01, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 3.1074, loss: 3.1074 2023-12-25 00:05:24,778 - pyskl - INFO - Epoch [109][1500/3405] lr: 4.444e-03, eta: 10:17:35, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9237, top5_acc: 0.9969, loss_cls: 3.1137, loss: 3.1137 2023-12-25 00:05:50,053 - pyskl - INFO - Epoch [109][1600/3405] lr: 4.438e-03, eta: 10:17:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 3.0942, loss: 3.0942 2023-12-25 00:06:15,713 - pyskl - INFO - Epoch [109][1700/3405] lr: 4.432e-03, eta: 10:16:42, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9406, top5_acc: 0.9931, loss_cls: 3.0918, loss: 3.0918 2023-12-25 00:06:41,034 - pyskl - INFO - Epoch [109][1800/3405] lr: 4.426e-03, eta: 10:16:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 3.1305, loss: 3.1305 2023-12-25 00:07:05,974 - pyskl - INFO - Epoch [109][1900/3405] lr: 4.420e-03, eta: 10:15:49, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9187, top5_acc: 0.9962, loss_cls: 3.1438, loss: 3.1438 2023-12-25 00:07:31,694 - pyskl - INFO - Epoch [109][2000/3405] lr: 4.414e-03, eta: 10:15:23, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 3.0988, loss: 3.0988 2023-12-25 00:07:57,257 - pyskl - INFO - Epoch [109][2100/3405] lr: 4.409e-03, eta: 10:14:56, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 3.1277, loss: 3.1277 2023-12-25 00:08:22,573 - pyskl - INFO - Epoch [109][2200/3405] lr: 4.403e-03, eta: 10:14:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 3.1459, loss: 3.1459 2023-12-25 00:08:47,717 - pyskl - INFO - Epoch [109][2300/3405] lr: 4.397e-03, eta: 10:14:03, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 3.1193, loss: 3.1193 2023-12-25 00:09:13,264 - pyskl - INFO - Epoch [109][2400/3405] lr: 4.391e-03, eta: 10:13:37, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 3.1490, loss: 3.1490 2023-12-25 00:09:39,623 - pyskl - INFO - Epoch [109][2500/3405] lr: 4.385e-03, eta: 10:13:10, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 3.1248, loss: 3.1248 2023-12-25 00:10:05,606 - pyskl - INFO - Epoch [109][2600/3405] lr: 4.379e-03, eta: 10:12:44, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 3.1582, loss: 3.1582 2023-12-25 00:10:31,531 - pyskl - INFO - Epoch [109][2700/3405] lr: 4.373e-03, eta: 10:12:18, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 3.1230, loss: 3.1230 2023-12-25 00:10:56,979 - pyskl - INFO - Epoch [109][2800/3405] lr: 4.368e-03, eta: 10:11:51, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 3.1398, loss: 3.1398 2023-12-25 00:11:22,554 - pyskl - INFO - Epoch [109][2900/3405] lr: 4.362e-03, eta: 10:11:25, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 3.1142, loss: 3.1142 2023-12-25 00:11:48,046 - pyskl - INFO - Epoch [109][3000/3405] lr: 4.356e-03, eta: 10:10:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9175, top5_acc: 0.9962, loss_cls: 3.1218, loss: 3.1218 2023-12-25 00:12:13,476 - pyskl - INFO - Epoch [109][3100/3405] lr: 4.350e-03, eta: 10:10:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 3.1653, loss: 3.1653 2023-12-25 00:12:39,015 - pyskl - INFO - Epoch [109][3200/3405] lr: 4.344e-03, eta: 10:10:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 3.1426, loss: 3.1426 2023-12-25 00:13:04,180 - pyskl - INFO - Epoch [109][3300/3405] lr: 4.338e-03, eta: 10:09:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 3.1262, loss: 3.1262 2023-12-25 00:13:29,474 - pyskl - INFO - Epoch [109][3400/3405] lr: 4.333e-03, eta: 10:09:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 3.1127, loss: 3.1127 2023-12-25 00:13:31,426 - pyskl - INFO - Saving checkpoint at 109 epochs 2023-12-25 00:17:54,524 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 00:17:55,140 - pyskl - INFO - top1_acc 0.8514 top5_acc 0.9685 2023-12-25 00:17:55,166 - pyskl - INFO - Epoch(val) [109][3718] top1_acc: 0.8514, top5_acc: 0.9685 2023-12-25 00:18:47,871 - pyskl - INFO - Epoch [110][100/3405] lr: 4.326e-03, eta: 10:08:55, time: 0.527, data_time: 0.275, memory: 5236, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 3.1029, loss: 3.1029 2023-12-25 00:19:13,194 - pyskl - INFO - Epoch [110][200/3405] lr: 4.321e-03, eta: 10:08:28, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 3.0776, loss: 3.0776 2023-12-25 00:19:39,694 - pyskl - INFO - Epoch [110][300/3405] lr: 4.315e-03, eta: 10:08:02, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 3.0989, loss: 3.0989 2023-12-25 00:20:05,082 - pyskl - INFO - Epoch [110][400/3405] lr: 4.309e-03, eta: 10:07:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 3.0816, loss: 3.0816 2023-12-25 00:20:30,352 - pyskl - INFO - Epoch [110][500/3405] lr: 4.303e-03, eta: 10:07:09, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 3.0542, loss: 3.0542 2023-12-25 00:20:56,009 - pyskl - INFO - Epoch [110][600/3405] lr: 4.297e-03, eta: 10:06:43, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 3.0710, loss: 3.0710 2023-12-25 00:21:21,451 - pyskl - INFO - Epoch [110][700/3405] lr: 4.292e-03, eta: 10:06:16, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 3.0839, loss: 3.0839 2023-12-25 00:21:46,579 - pyskl - INFO - Epoch [110][800/3405] lr: 4.286e-03, eta: 10:05:50, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 3.1134, loss: 3.1134 2023-12-25 00:22:12,013 - pyskl - INFO - Epoch [110][900/3405] lr: 4.280e-03, eta: 10:05:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 3.0880, loss: 3.0880 2023-12-25 00:22:38,126 - pyskl - INFO - Epoch [110][1000/3405] lr: 4.274e-03, eta: 10:04:57, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 3.1020, loss: 3.1020 2023-12-25 00:23:03,570 - pyskl - INFO - Epoch [110][1100/3405] lr: 4.268e-03, eta: 10:04:30, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 3.1031, loss: 3.1031 2023-12-25 00:23:29,037 - pyskl - INFO - Epoch [110][1200/3405] lr: 4.263e-03, eta: 10:04:04, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 3.0975, loss: 3.0975 2023-12-25 00:23:54,335 - pyskl - INFO - Epoch [110][1300/3405] lr: 4.257e-03, eta: 10:03:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 3.1123, loss: 3.1123 2023-12-25 00:24:20,280 - pyskl - INFO - Epoch [110][1400/3405] lr: 4.251e-03, eta: 10:03:11, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 3.1154, loss: 3.1154 2023-12-25 00:24:45,640 - pyskl - INFO - Epoch [110][1500/3405] lr: 4.245e-03, eta: 10:02:45, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 3.0748, loss: 3.0748 2023-12-25 00:25:11,809 - pyskl - INFO - Epoch [110][1600/3405] lr: 4.240e-03, eta: 10:02:18, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 3.0941, loss: 3.0941 2023-12-25 00:25:37,481 - pyskl - INFO - Epoch [110][1700/3405] lr: 4.234e-03, eta: 10:01:52, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 3.1061, loss: 3.1061 2023-12-25 00:26:03,330 - pyskl - INFO - Epoch [110][1800/3405] lr: 4.228e-03, eta: 10:01:26, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 3.1337, loss: 3.1337 2023-12-25 00:26:28,573 - pyskl - INFO - Epoch [110][1900/3405] lr: 4.222e-03, eta: 10:00:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 3.1210, loss: 3.1210 2023-12-25 00:26:54,291 - pyskl - INFO - Epoch [110][2000/3405] lr: 4.217e-03, eta: 10:00:33, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 3.1297, loss: 3.1297 2023-12-25 00:27:20,148 - pyskl - INFO - Epoch [110][2100/3405] lr: 4.211e-03, eta: 10:00:07, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9425, top5_acc: 0.9931, loss_cls: 3.0881, loss: 3.0881 2023-12-25 00:27:45,456 - pyskl - INFO - Epoch [110][2200/3405] lr: 4.205e-03, eta: 9:59:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 3.1039, loss: 3.1039 2023-12-25 00:28:10,770 - pyskl - INFO - Epoch [110][2300/3405] lr: 4.199e-03, eta: 9:59:14, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 3.1278, loss: 3.1278 2023-12-25 00:28:36,051 - pyskl - INFO - Epoch [110][2400/3405] lr: 4.194e-03, eta: 9:58:47, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 3.0928, loss: 3.0928 2023-12-25 00:29:01,043 - pyskl - INFO - Epoch [110][2500/3405] lr: 4.188e-03, eta: 9:58:20, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 3.1261, loss: 3.1261 2023-12-25 00:29:26,018 - pyskl - INFO - Epoch [110][2600/3405] lr: 4.182e-03, eta: 9:57:54, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 3.1322, loss: 3.1322 2023-12-25 00:29:51,221 - pyskl - INFO - Epoch [110][2700/3405] lr: 4.176e-03, eta: 9:57:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 3.1712, loss: 3.1712 2023-12-25 00:30:17,088 - pyskl - INFO - Epoch [110][2800/3405] lr: 4.171e-03, eta: 9:57:01, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 3.1542, loss: 3.1542 2023-12-25 00:30:42,839 - pyskl - INFO - Epoch [110][2900/3405] lr: 4.165e-03, eta: 9:56:35, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 3.0981, loss: 3.0981 2023-12-25 00:31:08,425 - pyskl - INFO - Epoch [110][3000/3405] lr: 4.159e-03, eta: 9:56:08, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 3.0977, loss: 3.0977 2023-12-25 00:31:33,905 - pyskl - INFO - Epoch [110][3100/3405] lr: 4.153e-03, eta: 9:55:42, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 3.1103, loss: 3.1103 2023-12-25 00:31:59,127 - pyskl - INFO - Epoch [110][3200/3405] lr: 4.148e-03, eta: 9:55:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 3.1203, loss: 3.1203 2023-12-25 00:32:24,391 - pyskl - INFO - Epoch [110][3300/3405] lr: 4.142e-03, eta: 9:54:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 3.1373, loss: 3.1373 2023-12-25 00:32:49,542 - pyskl - INFO - Epoch [110][3400/3405] lr: 4.136e-03, eta: 9:54:22, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 3.1167, loss: 3.1167 2023-12-25 00:32:51,471 - pyskl - INFO - Saving checkpoint at 110 epochs 2023-12-25 00:37:14,628 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 00:37:15,243 - pyskl - INFO - top1_acc 0.8511 top5_acc 0.9705 2023-12-25 00:37:15,270 - pyskl - INFO - Epoch(val) [110][3718] top1_acc: 0.8511, top5_acc: 0.9705 2023-12-25 00:38:07,460 - pyskl - INFO - Epoch [111][100/3405] lr: 4.130e-03, eta: 9:54:04, time: 0.522, data_time: 0.273, memory: 5236, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 3.0629, loss: 3.0629 2023-12-25 00:38:33,124 - pyskl - INFO - Epoch [111][200/3405] lr: 4.125e-03, eta: 9:53:37, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 3.0710, loss: 3.0710 2023-12-25 00:38:58,750 - pyskl - INFO - Epoch [111][300/3405] lr: 4.119e-03, eta: 9:53:11, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 3.0479, loss: 3.0479 2023-12-25 00:39:23,995 - pyskl - INFO - Epoch [111][400/3405] lr: 4.113e-03, eta: 9:52:44, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 3.0495, loss: 3.0495 2023-12-25 00:39:49,786 - pyskl - INFO - Epoch [111][500/3405] lr: 4.107e-03, eta: 9:52:18, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 3.0576, loss: 3.0576 2023-12-25 00:40:15,183 - pyskl - INFO - Epoch [111][600/3405] lr: 4.102e-03, eta: 9:51:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 3.0982, loss: 3.0982 2023-12-25 00:40:40,537 - pyskl - INFO - Epoch [111][700/3405] lr: 4.096e-03, eta: 9:51:25, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9381, top5_acc: 0.9925, loss_cls: 3.1058, loss: 3.1058 2023-12-25 00:41:05,670 - pyskl - INFO - Epoch [111][800/3405] lr: 4.090e-03, eta: 9:50:58, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 3.0657, loss: 3.0657 2023-12-25 00:41:30,611 - pyskl - INFO - Epoch [111][900/3405] lr: 4.085e-03, eta: 9:50:32, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 3.0781, loss: 3.0781 2023-12-25 00:41:55,989 - pyskl - INFO - Epoch [111][1000/3405] lr: 4.079e-03, eta: 9:50:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 3.0951, loss: 3.0951 2023-12-25 00:42:21,125 - pyskl - INFO - Epoch [111][1100/3405] lr: 4.073e-03, eta: 9:49:39, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9375, top5_acc: 0.9981, loss_cls: 3.0849, loss: 3.0849 2023-12-25 00:42:46,582 - pyskl - INFO - Epoch [111][1200/3405] lr: 4.068e-03, eta: 9:49:12, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 3.0736, loss: 3.0736 2023-12-25 00:43:12,295 - pyskl - INFO - Epoch [111][1300/3405] lr: 4.062e-03, eta: 9:48:46, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 3.0691, loss: 3.0691 2023-12-25 00:43:37,386 - pyskl - INFO - Epoch [111][1400/3405] lr: 4.056e-03, eta: 9:48:19, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 3.0789, loss: 3.0789 2023-12-25 00:44:02,685 - pyskl - INFO - Epoch [111][1500/3405] lr: 4.051e-03, eta: 9:47:53, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 3.0980, loss: 3.0980 2023-12-25 00:44:27,895 - pyskl - INFO - Epoch [111][1600/3405] lr: 4.045e-03, eta: 9:47:26, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 3.1186, loss: 3.1186 2023-12-25 00:44:53,650 - pyskl - INFO - Epoch [111][1700/3405] lr: 4.039e-03, eta: 9:47:00, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 3.0990, loss: 3.0990 2023-12-25 00:45:19,225 - pyskl - INFO - Epoch [111][1800/3405] lr: 4.034e-03, eta: 9:46:34, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 3.1039, loss: 3.1039 2023-12-25 00:45:44,753 - pyskl - INFO - Epoch [111][1900/3405] lr: 4.028e-03, eta: 9:46:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 3.1169, loss: 3.1169 2023-12-25 00:46:10,588 - pyskl - INFO - Epoch [111][2000/3405] lr: 4.022e-03, eta: 9:45:41, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 3.1262, loss: 3.1262 2023-12-25 00:46:36,173 - pyskl - INFO - Epoch [111][2100/3405] lr: 4.017e-03, eta: 9:45:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9375, top5_acc: 0.9931, loss_cls: 3.1067, loss: 3.1067 2023-12-25 00:47:01,540 - pyskl - INFO - Epoch [111][2200/3405] lr: 4.011e-03, eta: 9:44:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 3.0917, loss: 3.0917 2023-12-25 00:47:27,774 - pyskl - INFO - Epoch [111][2300/3405] lr: 4.005e-03, eta: 9:44:22, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9363, top5_acc: 0.9919, loss_cls: 3.1151, loss: 3.1151 2023-12-25 00:47:54,367 - pyskl - INFO - Epoch [111][2400/3405] lr: 4.000e-03, eta: 9:43:56, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.9331, top5_acc: 0.9969, loss_cls: 3.0985, loss: 3.0985 2023-12-25 00:48:20,354 - pyskl - INFO - Epoch [111][2500/3405] lr: 3.994e-03, eta: 9:43:30, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 3.1076, loss: 3.1076 2023-12-25 00:48:46,381 - pyskl - INFO - Epoch [111][2600/3405] lr: 3.988e-03, eta: 9:43:03, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 3.1210, loss: 3.1210 2023-12-25 00:49:11,784 - pyskl - INFO - Epoch [111][2700/3405] lr: 3.983e-03, eta: 9:42:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 3.0911, loss: 3.0911 2023-12-25 00:49:37,311 - pyskl - INFO - Epoch [111][2800/3405] lr: 3.977e-03, eta: 9:42:10, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 3.0812, loss: 3.0812 2023-12-25 00:50:02,735 - pyskl - INFO - Epoch [111][2900/3405] lr: 3.972e-03, eta: 9:41:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 3.0726, loss: 3.0726 2023-12-25 00:50:28,054 - pyskl - INFO - Epoch [111][3000/3405] lr: 3.966e-03, eta: 9:41:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9194, top5_acc: 0.9962, loss_cls: 3.1301, loss: 3.1301 2023-12-25 00:50:53,546 - pyskl - INFO - Epoch [111][3100/3405] lr: 3.960e-03, eta: 9:40:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 3.1064, loss: 3.1064 2023-12-25 00:51:18,819 - pyskl - INFO - Epoch [111][3200/3405] lr: 3.955e-03, eta: 9:40:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 3.1404, loss: 3.1404 2023-12-25 00:51:45,307 - pyskl - INFO - Epoch [111][3300/3405] lr: 3.949e-03, eta: 9:39:58, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 3.1151, loss: 3.1151 2023-12-25 00:52:10,645 - pyskl - INFO - Epoch [111][3400/3405] lr: 3.943e-03, eta: 9:39:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 3.1123, loss: 3.1123 2023-12-25 00:52:12,575 - pyskl - INFO - Saving checkpoint at 111 epochs 2023-12-25 00:56:35,845 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 00:56:36,458 - pyskl - INFO - top1_acc 0.8472 top5_acc 0.9700 2023-12-25 00:56:36,485 - pyskl - INFO - Epoch(val) [111][3718] top1_acc: 0.8472, top5_acc: 0.9700 2023-12-25 00:57:29,249 - pyskl - INFO - Epoch [112][100/3405] lr: 3.938e-03, eta: 9:39:13, time: 0.528, data_time: 0.270, memory: 5236, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 3.0992, loss: 3.0992 2023-12-25 00:57:55,445 - pyskl - INFO - Epoch [112][200/3405] lr: 3.932e-03, eta: 9:38:47, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 3.0824, loss: 3.0824 2023-12-25 00:58:20,726 - pyskl - INFO - Epoch [112][300/3405] lr: 3.926e-03, eta: 9:38:21, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 3.0653, loss: 3.0653 2023-12-25 00:58:45,813 - pyskl - INFO - Epoch [112][400/3405] lr: 3.921e-03, eta: 9:37:54, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 3.0676, loss: 3.0676 2023-12-25 00:59:11,055 - pyskl - INFO - Epoch [112][500/3405] lr: 3.915e-03, eta: 9:37:28, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 3.0803, loss: 3.0803 2023-12-25 00:59:36,219 - pyskl - INFO - Epoch [112][600/3405] lr: 3.910e-03, eta: 9:37:01, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 3.0738, loss: 3.0738 2023-12-25 01:00:01,647 - pyskl - INFO - Epoch [112][700/3405] lr: 3.904e-03, eta: 9:36:35, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 3.0304, loss: 3.0304 2023-12-25 01:00:26,925 - pyskl - INFO - Epoch [112][800/3405] lr: 3.898e-03, eta: 9:36:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 3.0779, loss: 3.0779 2023-12-25 01:00:52,349 - pyskl - INFO - Epoch [112][900/3405] lr: 3.893e-03, eta: 9:35:42, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 3.0789, loss: 3.0789 2023-12-25 01:01:17,769 - pyskl - INFO - Epoch [112][1000/3405] lr: 3.887e-03, eta: 9:35:15, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 3.0876, loss: 3.0876 2023-12-25 01:01:43,099 - pyskl - INFO - Epoch [112][1100/3405] lr: 3.882e-03, eta: 9:34:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 3.0470, loss: 3.0470 2023-12-25 01:02:08,378 - pyskl - INFO - Epoch [112][1200/3405] lr: 3.876e-03, eta: 9:34:22, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 3.0777, loss: 3.0777 2023-12-25 01:02:33,908 - pyskl - INFO - Epoch [112][1300/3405] lr: 3.871e-03, eta: 9:33:56, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 3.0876, loss: 3.0876 2023-12-25 01:02:59,423 - pyskl - INFO - Epoch [112][1400/3405] lr: 3.865e-03, eta: 9:33:29, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 3.0885, loss: 3.0885 2023-12-25 01:03:24,849 - pyskl - INFO - Epoch [112][1500/3405] lr: 3.860e-03, eta: 9:33:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 3.1072, loss: 3.1072 2023-12-25 01:03:50,223 - pyskl - INFO - Epoch [112][1600/3405] lr: 3.854e-03, eta: 9:32:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 3.0645, loss: 3.0645 2023-12-25 01:04:15,409 - pyskl - INFO - Epoch [112][1700/3405] lr: 3.848e-03, eta: 9:32:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 3.0848, loss: 3.0848 2023-12-25 01:04:40,814 - pyskl - INFO - Epoch [112][1800/3405] lr: 3.843e-03, eta: 9:31:43, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 3.0672, loss: 3.0672 2023-12-25 01:05:06,285 - pyskl - INFO - Epoch [112][1900/3405] lr: 3.837e-03, eta: 9:31:17, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 3.0876, loss: 3.0876 2023-12-25 01:05:31,790 - pyskl - INFO - Epoch [112][2000/3405] lr: 3.832e-03, eta: 9:30:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 3.0880, loss: 3.0880 2023-12-25 01:05:57,794 - pyskl - INFO - Epoch [112][2100/3405] lr: 3.826e-03, eta: 9:30:24, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 3.0513, loss: 3.0513 2023-12-25 01:06:23,166 - pyskl - INFO - Epoch [112][2200/3405] lr: 3.821e-03, eta: 9:29:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 3.0586, loss: 3.0586 2023-12-25 01:06:48,506 - pyskl - INFO - Epoch [112][2300/3405] lr: 3.815e-03, eta: 9:29:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 3.0687, loss: 3.0687 2023-12-25 01:07:13,689 - pyskl - INFO - Epoch [112][2400/3405] lr: 3.810e-03, eta: 9:29:05, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 3.0936, loss: 3.0936 2023-12-25 01:07:38,946 - pyskl - INFO - Epoch [112][2500/3405] lr: 3.804e-03, eta: 9:28:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 3.0719, loss: 3.0719 2023-12-25 01:08:04,959 - pyskl - INFO - Epoch [112][2600/3405] lr: 3.799e-03, eta: 9:28:12, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 3.1046, loss: 3.1046 2023-12-25 01:08:30,114 - pyskl - INFO - Epoch [112][2700/3405] lr: 3.793e-03, eta: 9:27:45, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 3.0959, loss: 3.0959 2023-12-25 01:08:55,451 - pyskl - INFO - Epoch [112][2800/3405] lr: 3.788e-03, eta: 9:27:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 3.0831, loss: 3.0831 2023-12-25 01:09:20,841 - pyskl - INFO - Epoch [112][2900/3405] lr: 3.782e-03, eta: 9:26:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 3.0884, loss: 3.0884 2023-12-25 01:09:46,118 - pyskl - INFO - Epoch [112][3000/3405] lr: 3.777e-03, eta: 9:26:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 3.1021, loss: 3.1021 2023-12-25 01:10:11,325 - pyskl - INFO - Epoch [112][3100/3405] lr: 3.771e-03, eta: 9:26:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 3.0645, loss: 3.0645 2023-12-25 01:10:36,601 - pyskl - INFO - Epoch [112][3200/3405] lr: 3.766e-03, eta: 9:25:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 3.0787, loss: 3.0787 2023-12-25 01:11:02,146 - pyskl - INFO - Epoch [112][3300/3405] lr: 3.760e-03, eta: 9:25:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 3.1007, loss: 3.1007 2023-12-25 01:11:27,375 - pyskl - INFO - Epoch [112][3400/3405] lr: 3.755e-03, eta: 9:24:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 3.1038, loss: 3.1038 2023-12-25 01:11:29,405 - pyskl - INFO - Saving checkpoint at 112 epochs 2023-12-25 01:15:52,384 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 01:15:53,037 - pyskl - INFO - top1_acc 0.8600 top5_acc 0.9726 2023-12-25 01:15:53,042 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_107.pth was removed 2023-12-25 01:15:53,250 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. 2023-12-25 01:15:53,251 - pyskl - INFO - Best top1_acc is 0.8600 at 112 epoch. 2023-12-25 01:15:53,277 - pyskl - INFO - Epoch(val) [112][3718] top1_acc: 0.8600, top5_acc: 0.9726 2023-12-25 01:16:45,520 - pyskl - INFO - Epoch [113][100/3405] lr: 3.749e-03, eta: 9:24:21, time: 0.522, data_time: 0.271, memory: 5236, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 3.0297, loss: 3.0297 2023-12-25 01:17:10,669 - pyskl - INFO - Epoch [113][200/3405] lr: 3.743e-03, eta: 9:23:54, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 3.0318, loss: 3.0318 2023-12-25 01:17:36,041 - pyskl - INFO - Epoch [113][300/3405] lr: 3.738e-03, eta: 9:23:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 3.0583, loss: 3.0583 2023-12-25 01:18:01,613 - pyskl - INFO - Epoch [113][400/3405] lr: 3.732e-03, eta: 9:23:02, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 3.0440, loss: 3.0440 2023-12-25 01:18:26,763 - pyskl - INFO - Epoch [113][500/3405] lr: 3.727e-03, eta: 9:22:35, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 3.0733, loss: 3.0733 2023-12-25 01:18:51,913 - pyskl - INFO - Epoch [113][600/3405] lr: 3.721e-03, eta: 9:22:09, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 3.0622, loss: 3.0622 2023-12-25 01:19:17,169 - pyskl - INFO - Epoch [113][700/3405] lr: 3.716e-03, eta: 9:21:42, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 3.0791, loss: 3.0791 2023-12-25 01:19:43,715 - pyskl - INFO - Epoch [113][800/3405] lr: 3.710e-03, eta: 9:21:16, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 3.0728, loss: 3.0728 2023-12-25 01:20:08,749 - pyskl - INFO - Epoch [113][900/3405] lr: 3.705e-03, eta: 9:20:49, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 3.0763, loss: 3.0763 2023-12-25 01:20:33,737 - pyskl - INFO - Epoch [113][1000/3405] lr: 3.699e-03, eta: 9:20:23, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 3.0513, loss: 3.0513 2023-12-25 01:20:59,057 - pyskl - INFO - Epoch [113][1100/3405] lr: 3.694e-03, eta: 9:19:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 3.0965, loss: 3.0965 2023-12-25 01:21:24,555 - pyskl - INFO - Epoch [113][1200/3405] lr: 3.689e-03, eta: 9:19:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 3.0933, loss: 3.0933 2023-12-25 01:21:49,935 - pyskl - INFO - Epoch [113][1300/3405] lr: 3.683e-03, eta: 9:19:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 3.0665, loss: 3.0665 2023-12-25 01:22:15,885 - pyskl - INFO - Epoch [113][1400/3405] lr: 3.678e-03, eta: 9:18:37, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 3.0691, loss: 3.0691 2023-12-25 01:22:41,270 - pyskl - INFO - Epoch [113][1500/3405] lr: 3.672e-03, eta: 9:18:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 3.0752, loss: 3.0752 2023-12-25 01:23:06,628 - pyskl - INFO - Epoch [113][1600/3405] lr: 3.667e-03, eta: 9:17:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 3.0765, loss: 3.0765 2023-12-25 01:23:32,178 - pyskl - INFO - Epoch [113][1700/3405] lr: 3.661e-03, eta: 9:17:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9313, top5_acc: 0.9969, loss_cls: 3.0876, loss: 3.0876 2023-12-25 01:23:57,477 - pyskl - INFO - Epoch [113][1800/3405] lr: 3.656e-03, eta: 9:16:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 3.0815, loss: 3.0815 2023-12-25 01:24:22,825 - pyskl - INFO - Epoch [113][1900/3405] lr: 3.650e-03, eta: 9:16:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 3.0399, loss: 3.0399 2023-12-25 01:24:48,198 - pyskl - INFO - Epoch [113][2000/3405] lr: 3.645e-03, eta: 9:15:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 3.0499, loss: 3.0499 2023-12-25 01:25:13,889 - pyskl - INFO - Epoch [113][2100/3405] lr: 3.640e-03, eta: 9:15:32, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 3.0566, loss: 3.0566 2023-12-25 01:25:39,290 - pyskl - INFO - Epoch [113][2200/3405] lr: 3.634e-03, eta: 9:15:06, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 3.0678, loss: 3.0678 2023-12-25 01:26:04,497 - pyskl - INFO - Epoch [113][2300/3405] lr: 3.629e-03, eta: 9:14:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 3.0840, loss: 3.0840 2023-12-25 01:26:29,764 - pyskl - INFO - Epoch [113][2400/3405] lr: 3.623e-03, eta: 9:14:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 3.0646, loss: 3.0646 2023-12-25 01:26:54,729 - pyskl - INFO - Epoch [113][2500/3405] lr: 3.618e-03, eta: 9:13:46, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 3.0470, loss: 3.0470 2023-12-25 01:27:19,708 - pyskl - INFO - Epoch [113][2600/3405] lr: 3.613e-03, eta: 9:13:19, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 3.0706, loss: 3.0706 2023-12-25 01:27:44,693 - pyskl - INFO - Epoch [113][2700/3405] lr: 3.607e-03, eta: 9:12:53, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 3.0750, loss: 3.0750 2023-12-25 01:28:10,455 - pyskl - INFO - Epoch [113][2800/3405] lr: 3.602e-03, eta: 9:12:27, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 3.0827, loss: 3.0827 2023-12-25 01:28:36,029 - pyskl - INFO - Epoch [113][2900/3405] lr: 3.596e-03, eta: 9:12:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 3.0968, loss: 3.0968 2023-12-25 01:29:01,092 - pyskl - INFO - Epoch [113][3000/3405] lr: 3.591e-03, eta: 9:11:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 3.1073, loss: 3.1073 2023-12-25 01:29:26,268 - pyskl - INFO - Epoch [113][3100/3405] lr: 3.586e-03, eta: 9:11:07, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 3.0872, loss: 3.0872 2023-12-25 01:29:51,759 - pyskl - INFO - Epoch [113][3200/3405] lr: 3.580e-03, eta: 9:10:41, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 3.0911, loss: 3.0911 2023-12-25 01:30:17,142 - pyskl - INFO - Epoch [113][3300/3405] lr: 3.575e-03, eta: 9:10:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 3.0658, loss: 3.0658 2023-12-25 01:30:42,253 - pyskl - INFO - Epoch [113][3400/3405] lr: 3.569e-03, eta: 9:09:48, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 3.0956, loss: 3.0956 2023-12-25 01:30:44,306 - pyskl - INFO - Saving checkpoint at 113 epochs 2023-12-25 01:35:07,815 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 01:35:08,438 - pyskl - INFO - top1_acc 0.8584 top5_acc 0.9712 2023-12-25 01:35:08,464 - pyskl - INFO - Epoch(val) [113][3718] top1_acc: 0.8584, top5_acc: 0.9712 2023-12-25 01:36:00,649 - pyskl - INFO - Epoch [114][100/3405] lr: 3.564e-03, eta: 9:09:28, time: 0.522, data_time: 0.273, memory: 5236, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 3.0336, loss: 3.0336 2023-12-25 01:36:25,853 - pyskl - INFO - Epoch [114][200/3405] lr: 3.558e-03, eta: 9:09:02, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 3.0472, loss: 3.0472 2023-12-25 01:36:50,823 - pyskl - INFO - Epoch [114][300/3405] lr: 3.553e-03, eta: 9:08:35, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 3.0400, loss: 3.0400 2023-12-25 01:37:16,210 - pyskl - INFO - Epoch [114][400/3405] lr: 3.548e-03, eta: 9:08:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 3.0499, loss: 3.0499 2023-12-25 01:37:41,373 - pyskl - INFO - Epoch [114][500/3405] lr: 3.542e-03, eta: 9:07:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 3.0536, loss: 3.0536 2023-12-25 01:38:06,661 - pyskl - INFO - Epoch [114][600/3405] lr: 3.537e-03, eta: 9:07:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 3.0042, loss: 3.0042 2023-12-25 01:38:32,018 - pyskl - INFO - Epoch [114][700/3405] lr: 3.532e-03, eta: 9:06:49, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9613, top5_acc: 0.9950, loss_cls: 3.0380, loss: 3.0380 2023-12-25 01:38:57,231 - pyskl - INFO - Epoch [114][800/3405] lr: 3.526e-03, eta: 9:06:23, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 3.0736, loss: 3.0736 2023-12-25 01:39:22,481 - pyskl - INFO - Epoch [114][900/3405] lr: 3.521e-03, eta: 9:05:56, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 3.0812, loss: 3.0812 2023-12-25 01:39:48,022 - pyskl - INFO - Epoch [114][1000/3405] lr: 3.516e-03, eta: 9:05:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 3.0571, loss: 3.0571 2023-12-25 01:40:13,857 - pyskl - INFO - Epoch [114][1100/3405] lr: 3.510e-03, eta: 9:05:04, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 3.0659, loss: 3.0659 2023-12-25 01:40:39,377 - pyskl - INFO - Epoch [114][1200/3405] lr: 3.505e-03, eta: 9:04:37, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 3.0767, loss: 3.0767 2023-12-25 01:41:04,998 - pyskl - INFO - Epoch [114][1300/3405] lr: 3.499e-03, eta: 9:04:11, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 3.0734, loss: 3.0734 2023-12-25 01:41:30,338 - pyskl - INFO - Epoch [114][1400/3405] lr: 3.494e-03, eta: 9:03:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 3.0455, loss: 3.0455 2023-12-25 01:41:55,823 - pyskl - INFO - Epoch [114][1500/3405] lr: 3.489e-03, eta: 9:03:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 3.0607, loss: 3.0607 2023-12-25 01:42:21,133 - pyskl - INFO - Epoch [114][1600/3405] lr: 3.484e-03, eta: 9:02:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 3.0634, loss: 3.0634 2023-12-25 01:42:46,580 - pyskl - INFO - Epoch [114][1700/3405] lr: 3.478e-03, eta: 9:02:25, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 3.0681, loss: 3.0681 2023-12-25 01:43:12,442 - pyskl - INFO - Epoch [114][1800/3405] lr: 3.473e-03, eta: 9:01:59, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 3.0320, loss: 3.0320 2023-12-25 01:43:37,696 - pyskl - INFO - Epoch [114][1900/3405] lr: 3.468e-03, eta: 9:01:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 3.0685, loss: 3.0685 2023-12-25 01:44:03,367 - pyskl - INFO - Epoch [114][2000/3405] lr: 3.462e-03, eta: 9:01:06, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 3.0596, loss: 3.0596 2023-12-25 01:44:28,874 - pyskl - INFO - Epoch [114][2100/3405] lr: 3.457e-03, eta: 9:00:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 3.0777, loss: 3.0777 2023-12-25 01:44:54,775 - pyskl - INFO - Epoch [114][2200/3405] lr: 3.452e-03, eta: 9:00:13, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 3.0603, loss: 3.0603 2023-12-25 01:45:19,784 - pyskl - INFO - Epoch [114][2300/3405] lr: 3.446e-03, eta: 8:59:47, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 3.0497, loss: 3.0497 2023-12-25 01:45:44,808 - pyskl - INFO - Epoch [114][2400/3405] lr: 3.441e-03, eta: 8:59:20, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 3.0722, loss: 3.0722 2023-12-25 01:46:09,863 - pyskl - INFO - Epoch [114][2500/3405] lr: 3.436e-03, eta: 8:58:54, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 3.0881, loss: 3.0881 2023-12-25 01:46:34,896 - pyskl - INFO - Epoch [114][2600/3405] lr: 3.430e-03, eta: 8:58:27, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 3.0821, loss: 3.0821 2023-12-25 01:46:59,906 - pyskl - INFO - Epoch [114][2700/3405] lr: 3.425e-03, eta: 8:58:00, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 3.0730, loss: 3.0730 2023-12-25 01:47:24,906 - pyskl - INFO - Epoch [114][2800/3405] lr: 3.420e-03, eta: 8:57:34, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 3.0853, loss: 3.0853 2023-12-25 01:47:50,588 - pyskl - INFO - Epoch [114][2900/3405] lr: 3.415e-03, eta: 8:57:08, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 3.0739, loss: 3.0739 2023-12-25 01:48:16,200 - pyskl - INFO - Epoch [114][3000/3405] lr: 3.409e-03, eta: 8:56:41, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 3.0686, loss: 3.0686 2023-12-25 01:48:41,566 - pyskl - INFO - Epoch [114][3100/3405] lr: 3.404e-03, eta: 8:56:15, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 3.0807, loss: 3.0807 2023-12-25 01:49:07,161 - pyskl - INFO - Epoch [114][3200/3405] lr: 3.399e-03, eta: 8:55:48, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 3.0750, loss: 3.0750 2023-12-25 01:49:32,497 - pyskl - INFO - Epoch [114][3300/3405] lr: 3.393e-03, eta: 8:55:22, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 3.0680, loss: 3.0680 2023-12-25 01:49:57,743 - pyskl - INFO - Epoch [114][3400/3405] lr: 3.388e-03, eta: 8:54:55, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 3.0941, loss: 3.0941 2023-12-25 01:49:59,714 - pyskl - INFO - Saving checkpoint at 114 epochs 2023-12-25 01:54:23,101 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 01:54:23,742 - pyskl - INFO - top1_acc 0.8539 top5_acc 0.9720 2023-12-25 01:54:23,768 - pyskl - INFO - Epoch(val) [114][3718] top1_acc: 0.8539, top5_acc: 0.9720 2023-12-25 01:55:16,055 - pyskl - INFO - Epoch [115][100/3405] lr: 3.383e-03, eta: 8:54:36, time: 0.523, data_time: 0.274, memory: 5236, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 3.0287, loss: 3.0287 2023-12-25 01:55:41,154 - pyskl - INFO - Epoch [115][200/3405] lr: 3.377e-03, eta: 8:54:09, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 3.0143, loss: 3.0143 2023-12-25 01:56:06,158 - pyskl - INFO - Epoch [115][300/3405] lr: 3.372e-03, eta: 8:53:43, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 3.0189, loss: 3.0189 2023-12-25 01:56:31,130 - pyskl - INFO - Epoch [115][400/3405] lr: 3.367e-03, eta: 8:53:16, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 3.0629, loss: 3.0629 2023-12-25 01:56:56,380 - pyskl - INFO - Epoch [115][500/3405] lr: 3.362e-03, eta: 8:52:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 3.0541, loss: 3.0541 2023-12-25 01:57:21,941 - pyskl - INFO - Epoch [115][600/3405] lr: 3.356e-03, eta: 8:52:23, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 3.0410, loss: 3.0410 2023-12-25 01:57:47,202 - pyskl - INFO - Epoch [115][700/3405] lr: 3.351e-03, eta: 8:51:57, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 3.0596, loss: 3.0596 2023-12-25 01:58:13,124 - pyskl - INFO - Epoch [115][800/3405] lr: 3.346e-03, eta: 8:51:31, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 3.0220, loss: 3.0220 2023-12-25 01:58:38,361 - pyskl - INFO - Epoch [115][900/3405] lr: 3.341e-03, eta: 8:51:04, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 3.0267, loss: 3.0267 2023-12-25 01:59:03,653 - pyskl - INFO - Epoch [115][1000/3405] lr: 3.335e-03, eta: 8:50:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 3.0351, loss: 3.0351 2023-12-25 01:59:29,233 - pyskl - INFO - Epoch [115][1100/3405] lr: 3.330e-03, eta: 8:50:11, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 3.0443, loss: 3.0443 2023-12-25 01:59:54,930 - pyskl - INFO - Epoch [115][1200/3405] lr: 3.325e-03, eta: 8:49:45, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 3.0259, loss: 3.0259 2023-12-25 02:00:20,233 - pyskl - INFO - Epoch [115][1300/3405] lr: 3.320e-03, eta: 8:49:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 3.0419, loss: 3.0419 2023-12-25 02:00:45,405 - pyskl - INFO - Epoch [115][1400/3405] lr: 3.315e-03, eta: 8:48:52, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 3.0437, loss: 3.0437 2023-12-25 02:01:10,576 - pyskl - INFO - Epoch [115][1500/3405] lr: 3.309e-03, eta: 8:48:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 3.0255, loss: 3.0255 2023-12-25 02:01:35,892 - pyskl - INFO - Epoch [115][1600/3405] lr: 3.304e-03, eta: 8:47:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 3.0330, loss: 3.0330 2023-12-25 02:02:01,141 - pyskl - INFO - Epoch [115][1700/3405] lr: 3.299e-03, eta: 8:47:32, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 3.0401, loss: 3.0401 2023-12-25 02:02:26,479 - pyskl - INFO - Epoch [115][1800/3405] lr: 3.294e-03, eta: 8:47:06, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 3.0313, loss: 3.0313 2023-12-25 02:02:51,583 - pyskl - INFO - Epoch [115][1900/3405] lr: 3.289e-03, eta: 8:46:39, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 3.0477, loss: 3.0477 2023-12-25 02:03:16,972 - pyskl - INFO - Epoch [115][2000/3405] lr: 3.283e-03, eta: 8:46:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 3.0629, loss: 3.0629 2023-12-25 02:03:42,752 - pyskl - INFO - Epoch [115][2100/3405] lr: 3.278e-03, eta: 8:45:47, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 3.0686, loss: 3.0686 2023-12-25 02:04:08,420 - pyskl - INFO - Epoch [115][2200/3405] lr: 3.273e-03, eta: 8:45:20, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 3.0773, loss: 3.0773 2023-12-25 02:04:34,236 - pyskl - INFO - Epoch [115][2300/3405] lr: 3.268e-03, eta: 8:44:54, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 3.0740, loss: 3.0740 2023-12-25 02:04:59,993 - pyskl - INFO - Epoch [115][2400/3405] lr: 3.263e-03, eta: 8:44:28, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 3.0643, loss: 3.0643 2023-12-25 02:05:25,669 - pyskl - INFO - Epoch [115][2500/3405] lr: 3.257e-03, eta: 8:44:01, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 3.0575, loss: 3.0575 2023-12-25 02:05:51,047 - pyskl - INFO - Epoch [115][2600/3405] lr: 3.252e-03, eta: 8:43:35, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9487, top5_acc: 1.0000, loss_cls: 3.0553, loss: 3.0553 2023-12-25 02:06:16,419 - pyskl - INFO - Epoch [115][2700/3405] lr: 3.247e-03, eta: 8:43:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9387, top5_acc: 0.9975, loss_cls: 3.0771, loss: 3.0771 2023-12-25 02:06:42,012 - pyskl - INFO - Epoch [115][2800/3405] lr: 3.242e-03, eta: 8:42:42, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 3.0546, loss: 3.0546 2023-12-25 02:07:07,460 - pyskl - INFO - Epoch [115][2900/3405] lr: 3.237e-03, eta: 8:42:16, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 3.0546, loss: 3.0546 2023-12-25 02:07:33,158 - pyskl - INFO - Epoch [115][3000/3405] lr: 3.232e-03, eta: 8:41:49, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 3.0790, loss: 3.0790 2023-12-25 02:07:58,660 - pyskl - INFO - Epoch [115][3100/3405] lr: 3.226e-03, eta: 8:41:23, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 3.0880, loss: 3.0880 2023-12-25 02:08:24,245 - pyskl - INFO - Epoch [115][3200/3405] lr: 3.221e-03, eta: 8:40:57, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 3.0436, loss: 3.0436 2023-12-25 02:08:49,376 - pyskl - INFO - Epoch [115][3300/3405] lr: 3.216e-03, eta: 8:40:30, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 3.0527, loss: 3.0527 2023-12-25 02:09:14,565 - pyskl - INFO - Epoch [115][3400/3405] lr: 3.211e-03, eta: 8:40:04, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 3.0554, loss: 3.0554 2023-12-25 02:09:16,577 - pyskl - INFO - Saving checkpoint at 115 epochs 2023-12-25 02:13:39,770 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 02:13:40,389 - pyskl - INFO - top1_acc 0.8513 top5_acc 0.9713 2023-12-25 02:13:40,415 - pyskl - INFO - Epoch(val) [115][3718] top1_acc: 0.8513, top5_acc: 0.9713 2023-12-25 02:14:32,860 - pyskl - INFO - Epoch [116][100/3405] lr: 3.206e-03, eta: 8:39:44, time: 0.524, data_time: 0.276, memory: 5236, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 3.0346, loss: 3.0346 2023-12-25 02:14:57,744 - pyskl - INFO - Epoch [116][200/3405] lr: 3.200e-03, eta: 8:39:17, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 3.0115, loss: 3.0115 2023-12-25 02:15:23,021 - pyskl - INFO - Epoch [116][300/3405] lr: 3.195e-03, eta: 8:38:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 3.0327, loss: 3.0327 2023-12-25 02:15:47,972 - pyskl - INFO - Epoch [116][400/3405] lr: 3.190e-03, eta: 8:38:24, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 3.0175, loss: 3.0175 2023-12-25 02:16:13,251 - pyskl - INFO - Epoch [116][500/3405] lr: 3.185e-03, eta: 8:37:58, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 3.0429, loss: 3.0429 2023-12-25 02:16:38,703 - pyskl - INFO - Epoch [116][600/3405] lr: 3.180e-03, eta: 8:37:31, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 3.0387, loss: 3.0387 2023-12-25 02:17:03,727 - pyskl - INFO - Epoch [116][700/3405] lr: 3.175e-03, eta: 8:37:05, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 3.0191, loss: 3.0191 2023-12-25 02:17:28,688 - pyskl - INFO - Epoch [116][800/3405] lr: 3.170e-03, eta: 8:36:38, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 3.0152, loss: 3.0152 2023-12-25 02:17:53,647 - pyskl - INFO - Epoch [116][900/3405] lr: 3.165e-03, eta: 8:36:12, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 3.0105, loss: 3.0105 2023-12-25 02:18:18,591 - pyskl - INFO - Epoch [116][1000/3405] lr: 3.159e-03, eta: 8:35:45, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 3.0183, loss: 3.0183 2023-12-25 02:18:43,528 - pyskl - INFO - Epoch [116][1100/3405] lr: 3.154e-03, eta: 8:35:19, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 3.0367, loss: 3.0367 2023-12-25 02:19:08,901 - pyskl - INFO - Epoch [116][1200/3405] lr: 3.149e-03, eta: 8:34:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 3.0101, loss: 3.0101 2023-12-25 02:19:34,163 - pyskl - INFO - Epoch [116][1300/3405] lr: 3.144e-03, eta: 8:34:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 3.0306, loss: 3.0306 2023-12-25 02:19:59,590 - pyskl - INFO - Epoch [116][1400/3405] lr: 3.139e-03, eta: 8:33:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 3.0325, loss: 3.0325 2023-12-25 02:20:24,971 - pyskl - INFO - Epoch [116][1500/3405] lr: 3.134e-03, eta: 8:33:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 3.0123, loss: 3.0123 2023-12-25 02:20:50,575 - pyskl - INFO - Epoch [116][1600/3405] lr: 3.129e-03, eta: 8:33:06, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 3.0171, loss: 3.0171 2023-12-25 02:21:15,787 - pyskl - INFO - Epoch [116][1700/3405] lr: 3.124e-03, eta: 8:32:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 3.0219, loss: 3.0219 2023-12-25 02:21:41,555 - pyskl - INFO - Epoch [116][1800/3405] lr: 3.119e-03, eta: 8:32:14, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 3.0253, loss: 3.0253 2023-12-25 02:22:06,783 - pyskl - INFO - Epoch [116][1900/3405] lr: 3.114e-03, eta: 8:31:47, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 3.0460, loss: 3.0460 2023-12-25 02:22:32,339 - pyskl - INFO - Epoch [116][2000/3405] lr: 3.109e-03, eta: 8:31:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 3.0466, loss: 3.0466 2023-12-25 02:22:57,747 - pyskl - INFO - Epoch [116][2100/3405] lr: 3.103e-03, eta: 8:30:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 3.0368, loss: 3.0368 2023-12-25 02:23:23,439 - pyskl - INFO - Epoch [116][2200/3405] lr: 3.098e-03, eta: 8:30:28, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 3.0588, loss: 3.0588 2023-12-25 02:23:49,011 - pyskl - INFO - Epoch [116][2300/3405] lr: 3.093e-03, eta: 8:30:02, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 3.0346, loss: 3.0346 2023-12-25 02:24:15,025 - pyskl - INFO - Epoch [116][2400/3405] lr: 3.088e-03, eta: 8:29:35, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 3.0461, loss: 3.0461 2023-12-25 02:24:40,054 - pyskl - INFO - Epoch [116][2500/3405] lr: 3.083e-03, eta: 8:29:09, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 3.0534, loss: 3.0534 2023-12-25 02:25:05,076 - pyskl - INFO - Epoch [116][2600/3405] lr: 3.078e-03, eta: 8:28:42, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 3.0405, loss: 3.0405 2023-12-25 02:25:30,125 - pyskl - INFO - Epoch [116][2700/3405] lr: 3.073e-03, eta: 8:28:16, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 3.0436, loss: 3.0436 2023-12-25 02:25:55,481 - pyskl - INFO - Epoch [116][2800/3405] lr: 3.068e-03, eta: 8:27:49, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 3.0354, loss: 3.0354 2023-12-25 02:26:21,244 - pyskl - INFO - Epoch [116][2900/3405] lr: 3.063e-03, eta: 8:27:23, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 3.0375, loss: 3.0375 2023-12-25 02:26:47,320 - pyskl - INFO - Epoch [116][3000/3405] lr: 3.058e-03, eta: 8:26:57, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 3.0369, loss: 3.0369 2023-12-25 02:27:13,105 - pyskl - INFO - Epoch [116][3100/3405] lr: 3.053e-03, eta: 8:26:31, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 3.0887, loss: 3.0887 2023-12-25 02:27:39,220 - pyskl - INFO - Epoch [116][3200/3405] lr: 3.048e-03, eta: 8:26:04, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 3.0864, loss: 3.0864 2023-12-25 02:28:04,709 - pyskl - INFO - Epoch [116][3300/3405] lr: 3.043e-03, eta: 8:25:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 3.0669, loss: 3.0669 2023-12-25 02:28:30,133 - pyskl - INFO - Epoch [116][3400/3405] lr: 3.038e-03, eta: 8:25:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 3.0345, loss: 3.0345 2023-12-25 02:28:32,105 - pyskl - INFO - Saving checkpoint at 116 epochs 2023-12-25 02:32:55,452 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 02:32:56,128 - pyskl - INFO - top1_acc 0.8644 top5_acc 0.9725 2023-12-25 02:32:56,133 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_112.pth was removed 2023-12-25 02:32:56,339 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. 2023-12-25 02:32:56,341 - pyskl - INFO - Best top1_acc is 0.8644 at 116 epoch. 2023-12-25 02:32:56,367 - pyskl - INFO - Epoch(val) [116][3718] top1_acc: 0.8644, top5_acc: 0.9725 2023-12-25 02:33:49,203 - pyskl - INFO - Epoch [117][100/3405] lr: 3.033e-03, eta: 8:24:52, time: 0.528, data_time: 0.278, memory: 5236, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 3.0117, loss: 3.0117 2023-12-25 02:34:14,044 - pyskl - INFO - Epoch [117][200/3405] lr: 3.028e-03, eta: 8:24:25, time: 0.248, data_time: 0.000, memory: 5236, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 3.0045, loss: 3.0045 2023-12-25 02:34:38,977 - pyskl - INFO - Epoch [117][300/3405] lr: 3.023e-03, eta: 8:23:58, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 3.0030, loss: 3.0030 2023-12-25 02:35:04,080 - pyskl - INFO - Epoch [117][400/3405] lr: 3.018e-03, eta: 8:23:32, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 3.0049, loss: 3.0049 2023-12-25 02:35:29,273 - pyskl - INFO - Epoch [117][500/3405] lr: 3.013e-03, eta: 8:23:05, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 3.0105, loss: 3.0105 2023-12-25 02:35:54,672 - pyskl - INFO - Epoch [117][600/3405] lr: 3.008e-03, eta: 8:22:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 3.0302, loss: 3.0302 2023-12-25 02:36:20,240 - pyskl - INFO - Epoch [117][700/3405] lr: 3.003e-03, eta: 8:22:13, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 3.0274, loss: 3.0274 2023-12-25 02:36:45,651 - pyskl - INFO - Epoch [117][800/3405] lr: 2.998e-03, eta: 8:21:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 3.0274, loss: 3.0274 2023-12-25 02:37:11,033 - pyskl - INFO - Epoch [117][900/3405] lr: 2.993e-03, eta: 8:21:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 3.0433, loss: 3.0433 2023-12-25 02:37:36,374 - pyskl - INFO - Epoch [117][1000/3405] lr: 2.988e-03, eta: 8:20:53, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 3.0211, loss: 3.0211 2023-12-25 02:38:01,539 - pyskl - INFO - Epoch [117][1100/3405] lr: 2.983e-03, eta: 8:20:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 3.0314, loss: 3.0314 2023-12-25 02:38:27,063 - pyskl - INFO - Epoch [117][1200/3405] lr: 2.978e-03, eta: 8:20:01, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 2.9982, loss: 2.9982 2023-12-25 02:38:53,163 - pyskl - INFO - Epoch [117][1300/3405] lr: 2.973e-03, eta: 8:19:34, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 3.0328, loss: 3.0328 2023-12-25 02:39:18,725 - pyskl - INFO - Epoch [117][1400/3405] lr: 2.968e-03, eta: 8:19:08, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 3.0293, loss: 3.0293 2023-12-25 02:39:43,975 - pyskl - INFO - Epoch [117][1500/3405] lr: 2.963e-03, eta: 8:18:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 3.0207, loss: 3.0207 2023-12-25 02:40:09,302 - pyskl - INFO - Epoch [117][1600/3405] lr: 2.958e-03, eta: 8:18:15, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 3.0590, loss: 3.0590 2023-12-25 02:40:34,897 - pyskl - INFO - Epoch [117][1700/3405] lr: 2.953e-03, eta: 8:17:49, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 3.0358, loss: 3.0358 2023-12-25 02:41:00,057 - pyskl - INFO - Epoch [117][1800/3405] lr: 2.948e-03, eta: 8:17:22, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 3.0282, loss: 3.0282 2023-12-25 02:41:25,560 - pyskl - INFO - Epoch [117][1900/3405] lr: 2.943e-03, eta: 8:16:56, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 3.0689, loss: 3.0689 2023-12-25 02:41:50,872 - pyskl - INFO - Epoch [117][2000/3405] lr: 2.938e-03, eta: 8:16:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 3.0343, loss: 3.0343 2023-12-25 02:42:16,138 - pyskl - INFO - Epoch [117][2100/3405] lr: 2.933e-03, eta: 8:16:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 3.0504, loss: 3.0504 2023-12-25 02:42:41,411 - pyskl - INFO - Epoch [117][2200/3405] lr: 2.928e-03, eta: 8:15:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 3.0502, loss: 3.0502 2023-12-25 02:43:06,951 - pyskl - INFO - Epoch [117][2300/3405] lr: 2.923e-03, eta: 8:15:10, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 3.0389, loss: 3.0389 2023-12-25 02:43:32,571 - pyskl - INFO - Epoch [117][2400/3405] lr: 2.918e-03, eta: 8:14:44, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 3.0676, loss: 3.0676 2023-12-25 02:43:57,974 - pyskl - INFO - Epoch [117][2500/3405] lr: 2.913e-03, eta: 8:14:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 3.0653, loss: 3.0653 2023-12-25 02:44:23,635 - pyskl - INFO - Epoch [117][2600/3405] lr: 2.908e-03, eta: 8:13:51, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 3.0247, loss: 3.0247 2023-12-25 02:44:48,736 - pyskl - INFO - Epoch [117][2700/3405] lr: 2.903e-03, eta: 8:13:25, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 3.0392, loss: 3.0392 2023-12-25 02:45:13,712 - pyskl - INFO - Epoch [117][2800/3405] lr: 2.898e-03, eta: 8:12:58, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 3.0339, loss: 3.0339 2023-12-25 02:45:38,715 - pyskl - INFO - Epoch [117][2900/3405] lr: 2.893e-03, eta: 8:12:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 3.0392, loss: 3.0392 2023-12-25 02:46:04,093 - pyskl - INFO - Epoch [117][3000/3405] lr: 2.889e-03, eta: 8:12:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 3.0442, loss: 3.0442 2023-12-25 02:46:29,941 - pyskl - INFO - Epoch [117][3100/3405] lr: 2.884e-03, eta: 8:11:39, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 3.0545, loss: 3.0545 2023-12-25 02:46:55,176 - pyskl - INFO - Epoch [117][3200/3405] lr: 2.879e-03, eta: 8:11:12, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 3.0542, loss: 3.0542 2023-12-25 02:47:20,687 - pyskl - INFO - Epoch [117][3300/3405] lr: 2.874e-03, eta: 8:10:46, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 3.0469, loss: 3.0469 2023-12-25 02:47:45,856 - pyskl - INFO - Epoch [117][3400/3405] lr: 2.869e-03, eta: 8:10:20, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 3.0253, loss: 3.0253 2023-12-25 02:47:47,797 - pyskl - INFO - Saving checkpoint at 117 epochs 2023-12-25 02:52:11,849 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 02:52:12,495 - pyskl - INFO - top1_acc 0.8624 top5_acc 0.9720 2023-12-25 02:52:12,520 - pyskl - INFO - Epoch(val) [117][3718] top1_acc: 0.8624, top5_acc: 0.9720 2023-12-25 02:53:06,136 - pyskl - INFO - Epoch [118][100/3405] lr: 2.864e-03, eta: 8:09:59, time: 0.536, data_time: 0.281, memory: 5236, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 3.0225, loss: 3.0225 2023-12-25 02:53:31,252 - pyskl - INFO - Epoch [118][200/3405] lr: 2.859e-03, eta: 8:09:33, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 2.9896, loss: 2.9896 2023-12-25 02:53:56,167 - pyskl - INFO - Epoch [118][300/3405] lr: 2.854e-03, eta: 8:09:06, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 2.9803, loss: 2.9803 2023-12-25 02:54:21,224 - pyskl - INFO - Epoch [118][400/3405] lr: 2.849e-03, eta: 8:08:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 2.9895, loss: 2.9895 2023-12-25 02:54:46,447 - pyskl - INFO - Epoch [118][500/3405] lr: 2.844e-03, eta: 8:08:13, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 2.9781, loss: 2.9781 2023-12-25 02:55:11,902 - pyskl - INFO - Epoch [118][600/3405] lr: 2.839e-03, eta: 8:07:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 2.9833, loss: 2.9833 2023-12-25 02:55:37,756 - pyskl - INFO - Epoch [118][700/3405] lr: 2.834e-03, eta: 8:07:21, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 3.0003, loss: 3.0003 2023-12-25 02:56:03,522 - pyskl - INFO - Epoch [118][800/3405] lr: 2.830e-03, eta: 8:06:54, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 2.9991, loss: 2.9991 2023-12-25 02:56:29,227 - pyskl - INFO - Epoch [118][900/3405] lr: 2.825e-03, eta: 8:06:28, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 3.0165, loss: 3.0165 2023-12-25 02:56:54,584 - pyskl - INFO - Epoch [118][1000/3405] lr: 2.820e-03, eta: 8:06:02, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 3.0066, loss: 3.0066 2023-12-25 02:57:20,585 - pyskl - INFO - Epoch [118][1100/3405] lr: 2.815e-03, eta: 8:05:36, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 3.0067, loss: 3.0067 2023-12-25 02:57:46,499 - pyskl - INFO - Epoch [118][1200/3405] lr: 2.810e-03, eta: 8:05:09, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 3.0107, loss: 3.0107 2023-12-25 02:58:11,632 - pyskl - INFO - Epoch [118][1300/3405] lr: 2.805e-03, eta: 8:04:43, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 3.0170, loss: 3.0170 2023-12-25 02:58:36,615 - pyskl - INFO - Epoch [118][1400/3405] lr: 2.800e-03, eta: 8:04:16, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 2.9771, loss: 2.9771 2023-12-25 02:59:01,625 - pyskl - INFO - Epoch [118][1500/3405] lr: 2.796e-03, eta: 8:03:50, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 3.0216, loss: 3.0216 2023-12-25 02:59:26,606 - pyskl - INFO - Epoch [118][1600/3405] lr: 2.791e-03, eta: 8:03:23, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 3.0166, loss: 3.0166 2023-12-25 02:59:51,955 - pyskl - INFO - Epoch [118][1700/3405] lr: 2.786e-03, eta: 8:02:57, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 3.0078, loss: 3.0078 2023-12-25 03:00:17,363 - pyskl - INFO - Epoch [118][1800/3405] lr: 2.781e-03, eta: 8:02:30, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 3.0387, loss: 3.0387 2023-12-25 03:00:42,665 - pyskl - INFO - Epoch [118][1900/3405] lr: 2.776e-03, eta: 8:02:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 3.0233, loss: 3.0233 2023-12-25 03:01:08,420 - pyskl - INFO - Epoch [118][2000/3405] lr: 2.771e-03, eta: 8:01:38, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 3.0183, loss: 3.0183 2023-12-25 03:01:33,824 - pyskl - INFO - Epoch [118][2100/3405] lr: 2.767e-03, eta: 8:01:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 3.0226, loss: 3.0226 2023-12-25 03:01:59,736 - pyskl - INFO - Epoch [118][2200/3405] lr: 2.762e-03, eta: 8:00:45, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 3.0266, loss: 3.0266 2023-12-25 03:02:25,612 - pyskl - INFO - Epoch [118][2300/3405] lr: 2.757e-03, eta: 8:00:19, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 3.0363, loss: 3.0363 2023-12-25 03:02:51,169 - pyskl - INFO - Epoch [118][2400/3405] lr: 2.752e-03, eta: 7:59:52, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 3.0282, loss: 3.0282 2023-12-25 03:03:16,654 - pyskl - INFO - Epoch [118][2500/3405] lr: 2.747e-03, eta: 7:59:26, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 3.0391, loss: 3.0391 2023-12-25 03:03:42,237 - pyskl - INFO - Epoch [118][2600/3405] lr: 2.742e-03, eta: 7:59:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 3.0276, loss: 3.0276 2023-12-25 03:04:08,110 - pyskl - INFO - Epoch [118][2700/3405] lr: 2.738e-03, eta: 7:58:33, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 3.0351, loss: 3.0351 2023-12-25 03:04:33,913 - pyskl - INFO - Epoch [118][2800/3405] lr: 2.733e-03, eta: 7:58:07, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 3.0336, loss: 3.0336 2023-12-25 03:04:59,266 - pyskl - INFO - Epoch [118][2900/3405] lr: 2.728e-03, eta: 7:57:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 3.0388, loss: 3.0388 2023-12-25 03:05:24,753 - pyskl - INFO - Epoch [118][3000/3405] lr: 2.723e-03, eta: 7:57:14, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 3.0557, loss: 3.0557 2023-12-25 03:05:50,074 - pyskl - INFO - Epoch [118][3100/3405] lr: 2.718e-03, eta: 7:56:48, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 3.0291, loss: 3.0291 2023-12-25 03:06:15,846 - pyskl - INFO - Epoch [118][3200/3405] lr: 2.714e-03, eta: 7:56:22, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 3.0430, loss: 3.0430 2023-12-25 03:06:41,394 - pyskl - INFO - Epoch [118][3300/3405] lr: 2.709e-03, eta: 7:55:55, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9619, top5_acc: 0.9944, loss_cls: 3.0354, loss: 3.0354 2023-12-25 03:07:06,954 - pyskl - INFO - Epoch [118][3400/3405] lr: 2.704e-03, eta: 7:55:29, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 3.0319, loss: 3.0319 2023-12-25 03:07:08,919 - pyskl - INFO - Saving checkpoint at 118 epochs 2023-12-25 03:11:32,832 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 03:11:33,478 - pyskl - INFO - top1_acc 0.8629 top5_acc 0.9711 2023-12-25 03:11:33,503 - pyskl - INFO - Epoch(val) [118][3718] top1_acc: 0.8629, top5_acc: 0.9711 2023-12-25 03:12:25,991 - pyskl - INFO - Epoch [119][100/3405] lr: 2.699e-03, eta: 7:55:08, time: 0.525, data_time: 0.275, memory: 5236, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 2.9972, loss: 2.9972 2023-12-25 03:12:50,938 - pyskl - INFO - Epoch [119][200/3405] lr: 2.694e-03, eta: 7:54:42, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 3.0097, loss: 3.0097 2023-12-25 03:13:16,204 - pyskl - INFO - Epoch [119][300/3405] lr: 2.690e-03, eta: 7:54:15, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 2.9825, loss: 2.9825 2023-12-25 03:13:41,330 - pyskl - INFO - Epoch [119][400/3405] lr: 2.685e-03, eta: 7:53:49, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 2.9738, loss: 2.9738 2023-12-25 03:14:06,559 - pyskl - INFO - Epoch [119][500/3405] lr: 2.680e-03, eta: 7:53:22, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 3.0156, loss: 3.0156 2023-12-25 03:14:31,747 - pyskl - INFO - Epoch [119][600/3405] lr: 2.675e-03, eta: 7:52:56, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 2.9780, loss: 2.9780 2023-12-25 03:14:57,096 - pyskl - INFO - Epoch [119][700/3405] lr: 2.671e-03, eta: 7:52:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 2.9966, loss: 2.9966 2023-12-25 03:15:22,489 - pyskl - INFO - Epoch [119][800/3405] lr: 2.666e-03, eta: 7:52:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 3.0043, loss: 3.0043 2023-12-25 03:15:47,769 - pyskl - INFO - Epoch [119][900/3405] lr: 2.661e-03, eta: 7:51:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 2.9955, loss: 2.9955 2023-12-25 03:16:13,107 - pyskl - INFO - Epoch [119][1000/3405] lr: 2.656e-03, eta: 7:51:10, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9663, top5_acc: 0.9956, loss_cls: 3.0190, loss: 3.0190 2023-12-25 03:16:38,367 - pyskl - INFO - Epoch [119][1100/3405] lr: 2.652e-03, eta: 7:50:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 2.9840, loss: 2.9840 2023-12-25 03:17:03,562 - pyskl - INFO - Epoch [119][1200/3405] lr: 2.647e-03, eta: 7:50:17, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 3.0008, loss: 3.0008 2023-12-25 03:17:28,658 - pyskl - INFO - Epoch [119][1300/3405] lr: 2.642e-03, eta: 7:49:51, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 2.9991, loss: 2.9991 2023-12-25 03:17:53,980 - pyskl - INFO - Epoch [119][1400/3405] lr: 2.637e-03, eta: 7:49:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 3.0292, loss: 3.0292 2023-12-25 03:18:19,046 - pyskl - INFO - Epoch [119][1500/3405] lr: 2.633e-03, eta: 7:48:58, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 3.0219, loss: 3.0219 2023-12-25 03:18:44,584 - pyskl - INFO - Epoch [119][1600/3405] lr: 2.628e-03, eta: 7:48:32, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 3.0099, loss: 3.0099 2023-12-25 03:19:09,749 - pyskl - INFO - Epoch [119][1700/3405] lr: 2.623e-03, eta: 7:48:05, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 3.0161, loss: 3.0161 2023-12-25 03:19:35,298 - pyskl - INFO - Epoch [119][1800/3405] lr: 2.619e-03, eta: 7:47:39, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 2.9989, loss: 2.9989 2023-12-25 03:20:01,015 - pyskl - INFO - Epoch [119][1900/3405] lr: 2.614e-03, eta: 7:47:12, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 2.9846, loss: 2.9846 2023-12-25 03:20:27,140 - pyskl - INFO - Epoch [119][2000/3405] lr: 2.609e-03, eta: 7:46:46, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 3.0242, loss: 3.0242 2023-12-25 03:20:52,715 - pyskl - INFO - Epoch [119][2100/3405] lr: 2.604e-03, eta: 7:46:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 3.0143, loss: 3.0143 2023-12-25 03:21:18,137 - pyskl - INFO - Epoch [119][2200/3405] lr: 2.600e-03, eta: 7:45:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 3.0081, loss: 3.0081 2023-12-25 03:21:43,572 - pyskl - INFO - Epoch [119][2300/3405] lr: 2.595e-03, eta: 7:45:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 2.9852, loss: 2.9852 2023-12-25 03:22:09,175 - pyskl - INFO - Epoch [119][2400/3405] lr: 2.590e-03, eta: 7:45:01, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 2.9953, loss: 2.9953 2023-12-25 03:22:34,624 - pyskl - INFO - Epoch [119][2500/3405] lr: 2.586e-03, eta: 7:44:34, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9619, top5_acc: 0.9956, loss_cls: 3.0244, loss: 3.0244 2023-12-25 03:22:59,750 - pyskl - INFO - Epoch [119][2600/3405] lr: 2.581e-03, eta: 7:44:08, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 3.0023, loss: 3.0023 2023-12-25 03:23:25,279 - pyskl - INFO - Epoch [119][2700/3405] lr: 2.576e-03, eta: 7:43:42, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 3.0054, loss: 3.0054 2023-12-25 03:23:50,826 - pyskl - INFO - Epoch [119][2800/3405] lr: 2.572e-03, eta: 7:43:15, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 3.0229, loss: 3.0229 2023-12-25 03:24:16,415 - pyskl - INFO - Epoch [119][2900/3405] lr: 2.567e-03, eta: 7:42:49, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 3.0317, loss: 3.0317 2023-12-25 03:24:41,837 - pyskl - INFO - Epoch [119][3000/3405] lr: 2.562e-03, eta: 7:42:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 3.0153, loss: 3.0153 2023-12-25 03:25:07,639 - pyskl - INFO - Epoch [119][3100/3405] lr: 2.558e-03, eta: 7:41:56, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 3.0021, loss: 3.0021 2023-12-25 03:25:33,104 - pyskl - INFO - Epoch [119][3200/3405] lr: 2.553e-03, eta: 7:41:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 3.0225, loss: 3.0225 2023-12-25 03:25:58,500 - pyskl - INFO - Epoch [119][3300/3405] lr: 2.548e-03, eta: 7:41:03, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 2.9965, loss: 2.9965 2023-12-25 03:26:23,975 - pyskl - INFO - Epoch [119][3400/3405] lr: 2.544e-03, eta: 7:40:37, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 3.0083, loss: 3.0083 2023-12-25 03:26:25,984 - pyskl - INFO - Saving checkpoint at 119 epochs 2023-12-25 03:30:49,699 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 03:30:50,339 - pyskl - INFO - top1_acc 0.8649 top5_acc 0.9727 2023-12-25 03:30:50,344 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_116.pth was removed 2023-12-25 03:30:50,550 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. 2023-12-25 03:30:50,551 - pyskl - INFO - Best top1_acc is 0.8649 at 119 epoch. 2023-12-25 03:30:50,576 - pyskl - INFO - Epoch(val) [119][3718] top1_acc: 0.8649, top5_acc: 0.9727 2023-12-25 03:31:43,077 - pyskl - INFO - Epoch [120][100/3405] lr: 2.539e-03, eta: 7:40:16, time: 0.525, data_time: 0.273, memory: 5236, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 2.9847, loss: 2.9847 2023-12-25 03:32:08,296 - pyskl - INFO - Epoch [120][200/3405] lr: 2.534e-03, eta: 7:39:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 2.9783, loss: 2.9783 2023-12-25 03:32:33,343 - pyskl - INFO - Epoch [120][300/3405] lr: 2.529e-03, eta: 7:39:23, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 2.9688, loss: 2.9688 2023-12-25 03:32:58,311 - pyskl - INFO - Epoch [120][400/3405] lr: 2.525e-03, eta: 7:38:57, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 2.9805, loss: 2.9805 2023-12-25 03:33:23,397 - pyskl - INFO - Epoch [120][500/3405] lr: 2.520e-03, eta: 7:38:30, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 2.9865, loss: 2.9865 2023-12-25 03:33:48,526 - pyskl - INFO - Epoch [120][600/3405] lr: 2.516e-03, eta: 7:38:04, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 2.9876, loss: 2.9876 2023-12-25 03:34:13,650 - pyskl - INFO - Epoch [120][700/3405] lr: 2.511e-03, eta: 7:37:37, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 2.9856, loss: 2.9856 2023-12-25 03:34:39,322 - pyskl - INFO - Epoch [120][800/3405] lr: 2.506e-03, eta: 7:37:11, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 2.9778, loss: 2.9778 2023-12-25 03:35:04,452 - pyskl - INFO - Epoch [120][900/3405] lr: 2.502e-03, eta: 7:36:45, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 2.9805, loss: 2.9805 2023-12-25 03:35:29,728 - pyskl - INFO - Epoch [120][1000/3405] lr: 2.497e-03, eta: 7:36:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 2.9968, loss: 2.9968 2023-12-25 03:35:55,089 - pyskl - INFO - Epoch [120][1100/3405] lr: 2.493e-03, eta: 7:35:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 2.9757, loss: 2.9757 2023-12-25 03:36:20,202 - pyskl - INFO - Epoch [120][1200/3405] lr: 2.488e-03, eta: 7:35:25, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 2.9715, loss: 2.9715 2023-12-25 03:36:45,808 - pyskl - INFO - Epoch [120][1300/3405] lr: 2.483e-03, eta: 7:34:59, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 2.9885, loss: 2.9885 2023-12-25 03:37:11,214 - pyskl - INFO - Epoch [120][1400/3405] lr: 2.479e-03, eta: 7:34:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 3.0011, loss: 3.0011 2023-12-25 03:37:36,357 - pyskl - INFO - Epoch [120][1500/3405] lr: 2.474e-03, eta: 7:34:06, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 2.9863, loss: 2.9863 2023-12-25 03:38:02,200 - pyskl - INFO - Epoch [120][1600/3405] lr: 2.470e-03, eta: 7:33:40, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 3.0234, loss: 3.0234 2023-12-25 03:38:27,543 - pyskl - INFO - Epoch [120][1700/3405] lr: 2.465e-03, eta: 7:33:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 2.9932, loss: 2.9932 2023-12-25 03:38:52,897 - pyskl - INFO - Epoch [120][1800/3405] lr: 2.460e-03, eta: 7:32:47, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 3.0038, loss: 3.0038 2023-12-25 03:39:18,140 - pyskl - INFO - Epoch [120][1900/3405] lr: 2.456e-03, eta: 7:32:21, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 3.0045, loss: 3.0045 2023-12-25 03:39:43,882 - pyskl - INFO - Epoch [120][2000/3405] lr: 2.451e-03, eta: 7:31:54, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 3.0076, loss: 3.0076 2023-12-25 03:40:09,456 - pyskl - INFO - Epoch [120][2100/3405] lr: 2.447e-03, eta: 7:31:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 2.9864, loss: 2.9864 2023-12-25 03:40:34,894 - pyskl - INFO - Epoch [120][2200/3405] lr: 2.442e-03, eta: 7:31:02, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 2.9841, loss: 2.9841 2023-12-25 03:41:00,325 - pyskl - INFO - Epoch [120][2300/3405] lr: 2.438e-03, eta: 7:30:35, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 3.0163, loss: 3.0163 2023-12-25 03:41:26,514 - pyskl - INFO - Epoch [120][2400/3405] lr: 2.433e-03, eta: 7:30:09, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 3.0075, loss: 3.0075 2023-12-25 03:41:53,108 - pyskl - INFO - Epoch [120][2500/3405] lr: 2.428e-03, eta: 7:29:43, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 3.0119, loss: 3.0119 2023-12-25 03:42:18,947 - pyskl - INFO - Epoch [120][2600/3405] lr: 2.424e-03, eta: 7:29:17, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 2.9947, loss: 2.9947 2023-12-25 03:42:44,280 - pyskl - INFO - Epoch [120][2700/3405] lr: 2.419e-03, eta: 7:28:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 3.0041, loss: 3.0041 2023-12-25 03:43:09,723 - pyskl - INFO - Epoch [120][2800/3405] lr: 2.415e-03, eta: 7:28:24, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 3.0016, loss: 3.0016 2023-12-25 03:43:34,783 - pyskl - INFO - Epoch [120][2900/3405] lr: 2.410e-03, eta: 7:27:57, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 3.0149, loss: 3.0149 2023-12-25 03:43:59,863 - pyskl - INFO - Epoch [120][3000/3405] lr: 2.406e-03, eta: 7:27:31, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 3.0230, loss: 3.0230 2023-12-25 03:44:25,277 - pyskl - INFO - Epoch [120][3100/3405] lr: 2.401e-03, eta: 7:27:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 3.0019, loss: 3.0019 2023-12-25 03:44:50,630 - pyskl - INFO - Epoch [120][3200/3405] lr: 2.397e-03, eta: 7:26:38, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 3.0041, loss: 3.0041 2023-12-25 03:45:15,681 - pyskl - INFO - Epoch [120][3300/3405] lr: 2.392e-03, eta: 7:26:12, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 3.0032, loss: 3.0032 2023-12-25 03:45:40,936 - pyskl - INFO - Epoch [120][3400/3405] lr: 2.388e-03, eta: 7:25:45, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 3.0126, loss: 3.0126 2023-12-25 03:45:42,881 - pyskl - INFO - Saving checkpoint at 120 epochs 2023-12-25 03:50:07,414 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 03:50:08,071 - pyskl - INFO - top1_acc 0.8673 top5_acc 0.9731 2023-12-25 03:50:08,076 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_119.pth was removed 2023-12-25 03:50:08,282 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. 2023-12-25 03:50:08,284 - pyskl - INFO - Best top1_acc is 0.8673 at 120 epoch. 2023-12-25 03:50:08,309 - pyskl - INFO - Epoch(val) [120][3718] top1_acc: 0.8673, top5_acc: 0.9731 2023-12-25 03:51:01,822 - pyskl - INFO - Epoch [121][100/3405] lr: 2.383e-03, eta: 7:25:24, time: 0.535, data_time: 0.283, memory: 5236, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 2.9938, loss: 2.9938 2023-12-25 03:51:26,820 - pyskl - INFO - Epoch [121][200/3405] lr: 2.378e-03, eta: 7:24:58, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 2.9833, loss: 2.9833 2023-12-25 03:51:51,870 - pyskl - INFO - Epoch [121][300/3405] lr: 2.374e-03, eta: 7:24:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 2.9822, loss: 2.9822 2023-12-25 03:52:18,329 - pyskl - INFO - Epoch [121][400/3405] lr: 2.369e-03, eta: 7:24:05, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 2.9654, loss: 2.9654 2023-12-25 03:52:44,817 - pyskl - INFO - Epoch [121][500/3405] lr: 2.365e-03, eta: 7:23:39, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 2.9690, loss: 2.9690 2023-12-25 03:53:11,310 - pyskl - INFO - Epoch [121][600/3405] lr: 2.360e-03, eta: 7:23:13, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 2.9646, loss: 2.9646 2023-12-25 03:53:36,453 - pyskl - INFO - Epoch [121][700/3405] lr: 2.356e-03, eta: 7:22:47, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 2.9770, loss: 2.9770 2023-12-25 03:54:02,117 - pyskl - INFO - Epoch [121][800/3405] lr: 2.351e-03, eta: 7:22:20, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 2.9837, loss: 2.9837 2023-12-25 03:54:27,444 - pyskl - INFO - Epoch [121][900/3405] lr: 2.347e-03, eta: 7:21:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 2.9736, loss: 2.9736 2023-12-25 03:54:52,741 - pyskl - INFO - Epoch [121][1000/3405] lr: 2.342e-03, eta: 7:21:27, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 2.9741, loss: 2.9741 2023-12-25 03:55:18,294 - pyskl - INFO - Epoch [121][1100/3405] lr: 2.338e-03, eta: 7:21:01, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 2.9853, loss: 2.9853 2023-12-25 03:55:43,485 - pyskl - INFO - Epoch [121][1200/3405] lr: 2.333e-03, eta: 7:20:35, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 2.9869, loss: 2.9869 2023-12-25 03:56:09,069 - pyskl - INFO - Epoch [121][1300/3405] lr: 2.329e-03, eta: 7:20:08, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 2.9907, loss: 2.9907 2023-12-25 03:56:34,418 - pyskl - INFO - Epoch [121][1400/3405] lr: 2.324e-03, eta: 7:19:42, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 2.9936, loss: 2.9936 2023-12-25 03:56:59,607 - pyskl - INFO - Epoch [121][1500/3405] lr: 2.320e-03, eta: 7:19:16, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 2.9883, loss: 2.9883 2023-12-25 03:57:25,105 - pyskl - INFO - Epoch [121][1600/3405] lr: 2.316e-03, eta: 7:18:49, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 2.9854, loss: 2.9854 2023-12-25 03:57:50,543 - pyskl - INFO - Epoch [121][1700/3405] lr: 2.311e-03, eta: 7:18:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 2.9989, loss: 2.9989 2023-12-25 03:58:15,867 - pyskl - INFO - Epoch [121][1800/3405] lr: 2.307e-03, eta: 7:17:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 3.0003, loss: 3.0003 2023-12-25 03:58:41,322 - pyskl - INFO - Epoch [121][1900/3405] lr: 2.302e-03, eta: 7:17:30, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 2.9721, loss: 2.9721 2023-12-25 03:59:06,468 - pyskl - INFO - Epoch [121][2000/3405] lr: 2.298e-03, eta: 7:17:04, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 2.9901, loss: 2.9901 2023-12-25 03:59:31,701 - pyskl - INFO - Epoch [121][2100/3405] lr: 2.293e-03, eta: 7:16:37, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 2.9764, loss: 2.9764 2023-12-25 03:59:57,011 - pyskl - INFO - Epoch [121][2200/3405] lr: 2.289e-03, eta: 7:16:11, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 2.9878, loss: 2.9878 2023-12-25 04:00:22,173 - pyskl - INFO - Epoch [121][2300/3405] lr: 2.284e-03, eta: 7:15:44, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 2.9863, loss: 2.9863 2023-12-25 04:00:47,965 - pyskl - INFO - Epoch [121][2400/3405] lr: 2.280e-03, eta: 7:15:18, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 2.9899, loss: 2.9899 2023-12-25 04:01:13,070 - pyskl - INFO - Epoch [121][2500/3405] lr: 2.276e-03, eta: 7:14:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 3.0074, loss: 3.0074 2023-12-25 04:01:38,707 - pyskl - INFO - Epoch [121][2600/3405] lr: 2.271e-03, eta: 7:14:25, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 2.9818, loss: 2.9818 2023-12-25 04:02:05,304 - pyskl - INFO - Epoch [121][2700/3405] lr: 2.267e-03, eta: 7:13:59, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 3.0082, loss: 3.0082 2023-12-25 04:02:31,890 - pyskl - INFO - Epoch [121][2800/3405] lr: 2.262e-03, eta: 7:13:33, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 2.9951, loss: 2.9951 2023-12-25 04:02:58,447 - pyskl - INFO - Epoch [121][2900/3405] lr: 2.258e-03, eta: 7:13:07, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 2.9881, loss: 2.9881 2023-12-25 04:03:24,784 - pyskl - INFO - Epoch [121][3000/3405] lr: 2.253e-03, eta: 7:12:41, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 2.9794, loss: 2.9794 2023-12-25 04:03:50,429 - pyskl - INFO - Epoch [121][3100/3405] lr: 2.249e-03, eta: 7:12:15, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 2.9826, loss: 2.9826 2023-12-25 04:04:16,150 - pyskl - INFO - Epoch [121][3200/3405] lr: 2.245e-03, eta: 7:11:48, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 2.9965, loss: 2.9965 2023-12-25 04:04:41,586 - pyskl - INFO - Epoch [121][3300/3405] lr: 2.240e-03, eta: 7:11:22, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 2.9769, loss: 2.9769 2023-12-25 04:05:07,052 - pyskl - INFO - Epoch [121][3400/3405] lr: 2.236e-03, eta: 7:10:56, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 2.9775, loss: 2.9775 2023-12-25 04:05:08,996 - pyskl - INFO - Saving checkpoint at 121 epochs 2023-12-25 04:09:34,715 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 04:09:35,335 - pyskl - INFO - top1_acc 0.8688 top5_acc 0.9717 2023-12-25 04:09:35,340 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_120.pth was removed 2023-12-25 04:09:35,547 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. 2023-12-25 04:09:35,548 - pyskl - INFO - Best top1_acc is 0.8688 at 121 epoch. 2023-12-25 04:09:35,573 - pyskl - INFO - Epoch(val) [121][3718] top1_acc: 0.8688, top5_acc: 0.9717 2023-12-25 04:10:31,000 - pyskl - INFO - Epoch [122][100/3405] lr: 2.231e-03, eta: 7:10:35, time: 0.554, data_time: 0.291, memory: 5236, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 2.9690, loss: 2.9690 2023-12-25 04:10:57,190 - pyskl - INFO - Epoch [122][200/3405] lr: 2.227e-03, eta: 7:10:09, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 2.9666, loss: 2.9666 2023-12-25 04:11:22,380 - pyskl - INFO - Epoch [122][300/3405] lr: 2.223e-03, eta: 7:09:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 2.9601, loss: 2.9601 2023-12-25 04:11:48,010 - pyskl - INFO - Epoch [122][400/3405] lr: 2.218e-03, eta: 7:09:16, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 2.9710, loss: 2.9710 2023-12-25 04:12:13,641 - pyskl - INFO - Epoch [122][500/3405] lr: 2.214e-03, eta: 7:08:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 2.9570, loss: 2.9570 2023-12-25 04:12:38,786 - pyskl - INFO - Epoch [122][600/3405] lr: 2.209e-03, eta: 7:08:23, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 2.9564, loss: 2.9564 2023-12-25 04:13:05,126 - pyskl - INFO - Epoch [122][700/3405] lr: 2.205e-03, eta: 7:07:57, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 2.9722, loss: 2.9722 2023-12-25 04:13:30,488 - pyskl - INFO - Epoch [122][800/3405] lr: 2.201e-03, eta: 7:07:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 2.9629, loss: 2.9629 2023-12-25 04:13:55,738 - pyskl - INFO - Epoch [122][900/3405] lr: 2.196e-03, eta: 7:07:04, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 2.9576, loss: 2.9576 2023-12-25 04:14:20,934 - pyskl - INFO - Epoch [122][1000/3405] lr: 2.192e-03, eta: 7:06:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 2.9753, loss: 2.9753 2023-12-25 04:14:46,073 - pyskl - INFO - Epoch [122][1100/3405] lr: 2.188e-03, eta: 7:06:11, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 2.9695, loss: 2.9695 2023-12-25 04:15:11,095 - pyskl - INFO - Epoch [122][1200/3405] lr: 2.183e-03, eta: 7:05:45, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 2.9802, loss: 2.9802 2023-12-25 04:15:36,423 - pyskl - INFO - Epoch [122][1300/3405] lr: 2.179e-03, eta: 7:05:18, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 2.9749, loss: 2.9749 2023-12-25 04:16:01,950 - pyskl - INFO - Epoch [122][1400/3405] lr: 2.175e-03, eta: 7:04:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 2.9709, loss: 2.9709 2023-12-25 04:16:27,199 - pyskl - INFO - Epoch [122][1500/3405] lr: 2.170e-03, eta: 7:04:26, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 2.9725, loss: 2.9725 2023-12-25 04:16:52,978 - pyskl - INFO - Epoch [122][1600/3405] lr: 2.166e-03, eta: 7:03:59, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 2.9778, loss: 2.9778 2023-12-25 04:17:18,127 - pyskl - INFO - Epoch [122][1700/3405] lr: 2.162e-03, eta: 7:03:33, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 2.9615, loss: 2.9615 2023-12-25 04:17:43,339 - pyskl - INFO - Epoch [122][1800/3405] lr: 2.157e-03, eta: 7:03:07, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 2.9688, loss: 2.9688 2023-12-25 04:18:08,629 - pyskl - INFO - Epoch [122][1900/3405] lr: 2.153e-03, eta: 7:02:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 2.9729, loss: 2.9729 2023-12-25 04:18:33,888 - pyskl - INFO - Epoch [122][2000/3405] lr: 2.149e-03, eta: 7:02:14, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 2.9770, loss: 2.9770 2023-12-25 04:18:59,362 - pyskl - INFO - Epoch [122][2100/3405] lr: 2.144e-03, eta: 7:01:47, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 2.9680, loss: 2.9680 2023-12-25 04:19:25,086 - pyskl - INFO - Epoch [122][2200/3405] lr: 2.140e-03, eta: 7:01:21, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 2.9720, loss: 2.9720 2023-12-25 04:19:50,716 - pyskl - INFO - Epoch [122][2300/3405] lr: 2.136e-03, eta: 7:00:55, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 2.9728, loss: 2.9728 2023-12-25 04:20:16,219 - pyskl - INFO - Epoch [122][2400/3405] lr: 2.131e-03, eta: 7:00:28, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 2.9806, loss: 2.9806 2023-12-25 04:20:41,866 - pyskl - INFO - Epoch [122][2500/3405] lr: 2.127e-03, eta: 7:00:02, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 2.9927, loss: 2.9927 2023-12-25 04:21:07,661 - pyskl - INFO - Epoch [122][2600/3405] lr: 2.123e-03, eta: 6:59:36, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 3.0033, loss: 3.0033 2023-12-25 04:21:32,815 - pyskl - INFO - Epoch [122][2700/3405] lr: 2.119e-03, eta: 6:59:09, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 2.9886, loss: 2.9886 2023-12-25 04:21:57,925 - pyskl - INFO - Epoch [122][2800/3405] lr: 2.114e-03, eta: 6:58:43, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 2.9816, loss: 2.9816 2023-12-25 04:22:23,459 - pyskl - INFO - Epoch [122][2900/3405] lr: 2.110e-03, eta: 6:58:17, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 2.9695, loss: 2.9695 2023-12-25 04:22:48,740 - pyskl - INFO - Epoch [122][3000/3405] lr: 2.106e-03, eta: 6:57:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 2.9858, loss: 2.9858 2023-12-25 04:23:14,055 - pyskl - INFO - Epoch [122][3100/3405] lr: 2.102e-03, eta: 6:57:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 2.9846, loss: 2.9846 2023-12-25 04:23:40,247 - pyskl - INFO - Epoch [122][3200/3405] lr: 2.097e-03, eta: 6:56:58, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 2.9832, loss: 2.9832 2023-12-25 04:24:05,863 - pyskl - INFO - Epoch [122][3300/3405] lr: 2.093e-03, eta: 6:56:31, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 2.9851, loss: 2.9851 2023-12-25 04:24:31,758 - pyskl - INFO - Epoch [122][3400/3405] lr: 2.089e-03, eta: 6:56:05, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 2.9840, loss: 2.9840 2023-12-25 04:24:33,740 - pyskl - INFO - Saving checkpoint at 122 epochs 2023-12-25 04:28:59,580 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 04:29:00,290 - pyskl - INFO - top1_acc 0.8718 top5_acc 0.9738 2023-12-25 04:29:00,295 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_121.pth was removed 2023-12-25 04:29:00,504 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. 2023-12-25 04:29:00,506 - pyskl - INFO - Best top1_acc is 0.8718 at 122 epoch. 2023-12-25 04:29:00,530 - pyskl - INFO - Epoch(val) [122][3718] top1_acc: 0.8718, top5_acc: 0.9738 2023-12-25 04:29:55,437 - pyskl - INFO - Epoch [123][100/3405] lr: 2.084e-03, eta: 6:55:44, time: 0.549, data_time: 0.298, memory: 5236, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 2.9579, loss: 2.9579 2023-12-25 04:30:20,567 - pyskl - INFO - Epoch [123][200/3405] lr: 2.080e-03, eta: 6:55:17, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.9497, loss: 2.9497 2023-12-25 04:30:45,498 - pyskl - INFO - Epoch [123][300/3405] lr: 2.076e-03, eta: 6:54:51, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 2.9441, loss: 2.9441 2023-12-25 04:31:10,442 - pyskl - INFO - Epoch [123][400/3405] lr: 2.072e-03, eta: 6:54:24, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 2.9485, loss: 2.9485 2023-12-25 04:31:35,609 - pyskl - INFO - Epoch [123][500/3405] lr: 2.067e-03, eta: 6:53:58, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9558, loss: 2.9558 2023-12-25 04:32:00,650 - pyskl - INFO - Epoch [123][600/3405] lr: 2.063e-03, eta: 6:53:32, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 2.9695, loss: 2.9695 2023-12-25 04:32:25,709 - pyskl - INFO - Epoch [123][700/3405] lr: 2.059e-03, eta: 6:53:05, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 2.9684, loss: 2.9684 2023-12-25 04:32:51,241 - pyskl - INFO - Epoch [123][800/3405] lr: 2.055e-03, eta: 6:52:39, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 2.9789, loss: 2.9789 2023-12-25 04:33:16,621 - pyskl - INFO - Epoch [123][900/3405] lr: 2.050e-03, eta: 6:52:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 2.9608, loss: 2.9608 2023-12-25 04:33:41,830 - pyskl - INFO - Epoch [123][1000/3405] lr: 2.046e-03, eta: 6:51:46, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 2.9706, loss: 2.9706 2023-12-25 04:34:06,987 - pyskl - INFO - Epoch [123][1100/3405] lr: 2.042e-03, eta: 6:51:20, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 2.9542, loss: 2.9542 2023-12-25 04:34:31,929 - pyskl - INFO - Epoch [123][1200/3405] lr: 2.038e-03, eta: 6:50:53, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 2.9481, loss: 2.9481 2023-12-25 04:34:56,884 - pyskl - INFO - Epoch [123][1300/3405] lr: 2.034e-03, eta: 6:50:27, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 2.9576, loss: 2.9576 2023-12-25 04:35:22,346 - pyskl - INFO - Epoch [123][1400/3405] lr: 2.029e-03, eta: 6:50:00, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 2.9505, loss: 2.9505 2023-12-25 04:35:47,608 - pyskl - INFO - Epoch [123][1500/3405] lr: 2.025e-03, eta: 6:49:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.9442, loss: 2.9442 2023-12-25 04:36:13,026 - pyskl - INFO - Epoch [123][1600/3405] lr: 2.021e-03, eta: 6:49:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 2.9485, loss: 2.9485 2023-12-25 04:36:38,276 - pyskl - INFO - Epoch [123][1700/3405] lr: 2.017e-03, eta: 6:48:41, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 2.9723, loss: 2.9723 2023-12-25 04:37:03,959 - pyskl - INFO - Epoch [123][1800/3405] lr: 2.013e-03, eta: 6:48:15, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 2.9649, loss: 2.9649 2023-12-25 04:37:29,587 - pyskl - INFO - Epoch [123][1900/3405] lr: 2.008e-03, eta: 6:47:49, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 2.9543, loss: 2.9543 2023-12-25 04:37:55,056 - pyskl - INFO - Epoch [123][2000/3405] lr: 2.004e-03, eta: 6:47:22, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 2.9541, loss: 2.9541 2023-12-25 04:38:20,443 - pyskl - INFO - Epoch [123][2100/3405] lr: 2.000e-03, eta: 6:46:56, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 2.9647, loss: 2.9647 2023-12-25 04:38:46,035 - pyskl - INFO - Epoch [123][2200/3405] lr: 1.996e-03, eta: 6:46:30, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 2.9506, loss: 2.9506 2023-12-25 04:39:10,975 - pyskl - INFO - Epoch [123][2300/3405] lr: 1.992e-03, eta: 6:46:03, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 2.9569, loss: 2.9569 2023-12-25 04:39:36,380 - pyskl - INFO - Epoch [123][2400/3405] lr: 1.988e-03, eta: 6:45:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 2.9726, loss: 2.9726 2023-12-25 04:40:02,103 - pyskl - INFO - Epoch [123][2500/3405] lr: 1.983e-03, eta: 6:45:10, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 2.9729, loss: 2.9729 2023-12-25 04:40:27,405 - pyskl - INFO - Epoch [123][2600/3405] lr: 1.979e-03, eta: 6:44:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 2.9623, loss: 2.9623 2023-12-25 04:40:53,028 - pyskl - INFO - Epoch [123][2700/3405] lr: 1.975e-03, eta: 6:44:18, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 2.9612, loss: 2.9612 2023-12-25 04:41:18,550 - pyskl - INFO - Epoch [123][2800/3405] lr: 1.971e-03, eta: 6:43:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 2.9624, loss: 2.9624 2023-12-25 04:41:44,173 - pyskl - INFO - Epoch [123][2900/3405] lr: 1.967e-03, eta: 6:43:25, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 2.9725, loss: 2.9725 2023-12-25 04:42:10,102 - pyskl - INFO - Epoch [123][3000/3405] lr: 1.963e-03, eta: 6:42:59, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 2.9673, loss: 2.9673 2023-12-25 04:42:36,034 - pyskl - INFO - Epoch [123][3100/3405] lr: 1.959e-03, eta: 6:42:33, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 3.0058, loss: 3.0058 2023-12-25 04:43:01,331 - pyskl - INFO - Epoch [123][3200/3405] lr: 1.954e-03, eta: 6:42:06, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 2.9643, loss: 2.9643 2023-12-25 04:43:26,717 - pyskl - INFO - Epoch [123][3300/3405] lr: 1.950e-03, eta: 6:41:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 2.9623, loss: 2.9623 2023-12-25 04:43:52,088 - pyskl - INFO - Epoch [123][3400/3405] lr: 1.946e-03, eta: 6:41:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 2.9866, loss: 2.9866 2023-12-25 04:43:54,183 - pyskl - INFO - Saving checkpoint at 123 epochs 2023-12-25 04:48:20,732 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 04:48:21,434 - pyskl - INFO - top1_acc 0.8666 top5_acc 0.9731 2023-12-25 04:48:21,461 - pyskl - INFO - Epoch(val) [123][3718] top1_acc: 0.8666, top5_acc: 0.9731 2023-12-25 04:49:16,032 - pyskl - INFO - Epoch [124][100/3405] lr: 1.942e-03, eta: 6:40:52, time: 0.546, data_time: 0.297, memory: 5236, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.9518, loss: 2.9518 2023-12-25 04:49:41,120 - pyskl - INFO - Epoch [124][200/3405] lr: 1.938e-03, eta: 6:40:26, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 2.9404, loss: 2.9404 2023-12-25 04:50:06,364 - pyskl - INFO - Epoch [124][300/3405] lr: 1.934e-03, eta: 6:39:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.9445, loss: 2.9445 2023-12-25 04:50:31,646 - pyskl - INFO - Epoch [124][400/3405] lr: 1.929e-03, eta: 6:39:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9411, loss: 2.9411 2023-12-25 04:50:57,091 - pyskl - INFO - Epoch [124][500/3405] lr: 1.925e-03, eta: 6:39:06, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9421, loss: 2.9421 2023-12-25 04:51:22,152 - pyskl - INFO - Epoch [124][600/3405] lr: 1.921e-03, eta: 6:38:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 2.9575, loss: 2.9575 2023-12-25 04:51:47,267 - pyskl - INFO - Epoch [124][700/3405] lr: 1.917e-03, eta: 6:38:14, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 2.9467, loss: 2.9467 2023-12-25 04:52:13,452 - pyskl - INFO - Epoch [124][800/3405] lr: 1.913e-03, eta: 6:37:47, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 2.9412, loss: 2.9412 2023-12-25 04:52:39,133 - pyskl - INFO - Epoch [124][900/3405] lr: 1.909e-03, eta: 6:37:21, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 2.9488, loss: 2.9488 2023-12-25 04:53:04,527 - pyskl - INFO - Epoch [124][1000/3405] lr: 1.905e-03, eta: 6:36:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.9439, loss: 2.9439 2023-12-25 04:53:29,876 - pyskl - INFO - Epoch [124][1100/3405] lr: 1.901e-03, eta: 6:36:28, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 2.9684, loss: 2.9684 2023-12-25 04:53:55,104 - pyskl - INFO - Epoch [124][1200/3405] lr: 1.897e-03, eta: 6:36:02, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 2.9534, loss: 2.9534 2023-12-25 04:54:21,482 - pyskl - INFO - Epoch [124][1300/3405] lr: 1.893e-03, eta: 6:35:36, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 2.9815, loss: 2.9815 2023-12-25 04:54:47,503 - pyskl - INFO - Epoch [124][1400/3405] lr: 1.889e-03, eta: 6:35:10, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 2.9523, loss: 2.9523 2023-12-25 04:55:13,002 - pyskl - INFO - Epoch [124][1500/3405] lr: 1.885e-03, eta: 6:34:43, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 2.9575, loss: 2.9575 2023-12-25 04:55:38,720 - pyskl - INFO - Epoch [124][1600/3405] lr: 1.881e-03, eta: 6:34:17, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 2.9534, loss: 2.9534 2023-12-25 04:56:04,410 - pyskl - INFO - Epoch [124][1700/3405] lr: 1.876e-03, eta: 6:33:51, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 2.9493, loss: 2.9493 2023-12-25 04:56:29,624 - pyskl - INFO - Epoch [124][1800/3405] lr: 1.872e-03, eta: 6:33:24, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 2.9500, loss: 2.9500 2023-12-25 04:56:55,161 - pyskl - INFO - Epoch [124][1900/3405] lr: 1.868e-03, eta: 6:32:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 2.9547, loss: 2.9547 2023-12-25 04:57:20,604 - pyskl - INFO - Epoch [124][2000/3405] lr: 1.864e-03, eta: 6:32:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.9442, loss: 2.9442 2023-12-25 04:57:45,971 - pyskl - INFO - Epoch [124][2100/3405] lr: 1.860e-03, eta: 6:32:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 2.9561, loss: 2.9561 2023-12-25 04:58:11,605 - pyskl - INFO - Epoch [124][2200/3405] lr: 1.856e-03, eta: 6:31:39, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 2.9459, loss: 2.9459 2023-12-25 04:58:36,978 - pyskl - INFO - Epoch [124][2300/3405] lr: 1.852e-03, eta: 6:31:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 2.9498, loss: 2.9498 2023-12-25 04:59:02,465 - pyskl - INFO - Epoch [124][2400/3405] lr: 1.848e-03, eta: 6:30:46, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 2.9405, loss: 2.9405 2023-12-25 04:59:28,179 - pyskl - INFO - Epoch [124][2500/3405] lr: 1.844e-03, eta: 6:30:20, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 2.9518, loss: 2.9518 2023-12-25 04:59:53,243 - pyskl - INFO - Epoch [124][2600/3405] lr: 1.840e-03, eta: 6:29:53, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 2.9438, loss: 2.9438 2023-12-25 05:00:18,642 - pyskl - INFO - Epoch [124][2700/3405] lr: 1.836e-03, eta: 6:29:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.9528, loss: 2.9528 2023-12-25 05:00:43,899 - pyskl - INFO - Epoch [124][2800/3405] lr: 1.832e-03, eta: 6:29:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.9448, loss: 2.9448 2023-12-25 05:01:08,947 - pyskl - INFO - Epoch [124][2900/3405] lr: 1.828e-03, eta: 6:28:34, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.9430, loss: 2.9430 2023-12-25 05:01:34,496 - pyskl - INFO - Epoch [124][3000/3405] lr: 1.824e-03, eta: 6:28:08, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 2.9629, loss: 2.9629 2023-12-25 05:01:59,836 - pyskl - INFO - Epoch [124][3100/3405] lr: 1.820e-03, eta: 6:27:42, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 2.9557, loss: 2.9557 2023-12-25 05:02:25,355 - pyskl - INFO - Epoch [124][3200/3405] lr: 1.816e-03, eta: 6:27:15, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 2.9539, loss: 2.9539 2023-12-25 05:02:50,694 - pyskl - INFO - Epoch [124][3300/3405] lr: 1.812e-03, eta: 6:26:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 2.9468, loss: 2.9468 2023-12-25 05:03:16,092 - pyskl - INFO - Epoch [124][3400/3405] lr: 1.808e-03, eta: 6:26:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 2.9558, loss: 2.9558 2023-12-25 05:03:18,258 - pyskl - INFO - Saving checkpoint at 124 epochs 2023-12-25 05:07:43,461 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 05:07:44,144 - pyskl - INFO - top1_acc 0.8729 top5_acc 0.9733 2023-12-25 05:07:44,149 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_122.pth was removed 2023-12-25 05:07:44,357 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. 2023-12-25 05:07:44,359 - pyskl - INFO - Best top1_acc is 0.8729 at 124 epoch. 2023-12-25 05:07:44,384 - pyskl - INFO - Epoch(val) [124][3718] top1_acc: 0.8729, top5_acc: 0.9733 2023-12-25 05:08:38,975 - pyskl - INFO - Epoch [125][100/3405] lr: 1.804e-03, eta: 6:26:01, time: 0.546, data_time: 0.295, memory: 5236, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.9369, loss: 2.9369 2023-12-25 05:09:04,512 - pyskl - INFO - Epoch [125][200/3405] lr: 1.800e-03, eta: 6:25:34, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 2.9381, loss: 2.9381 2023-12-25 05:09:30,738 - pyskl - INFO - Epoch [125][300/3405] lr: 1.796e-03, eta: 6:25:08, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9469, loss: 2.9469 2023-12-25 05:09:57,215 - pyskl - INFO - Epoch [125][400/3405] lr: 1.792e-03, eta: 6:24:42, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.9348, loss: 2.9348 2023-12-25 05:10:23,704 - pyskl - INFO - Epoch [125][500/3405] lr: 1.788e-03, eta: 6:24:16, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.9464, loss: 2.9464 2023-12-25 05:10:49,741 - pyskl - INFO - Epoch [125][600/3405] lr: 1.784e-03, eta: 6:23:50, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 2.9442, loss: 2.9442 2023-12-25 05:11:15,006 - pyskl - INFO - Epoch [125][700/3405] lr: 1.780e-03, eta: 6:23:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 2.9440, loss: 2.9440 2023-12-25 05:11:40,311 - pyskl - INFO - Epoch [125][800/3405] lr: 1.776e-03, eta: 6:22:57, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.9430, loss: 2.9430 2023-12-25 05:12:06,573 - pyskl - INFO - Epoch [125][900/3405] lr: 1.772e-03, eta: 6:22:31, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 2.9573, loss: 2.9573 2023-12-25 05:12:32,074 - pyskl - INFO - Epoch [125][1000/3405] lr: 1.768e-03, eta: 6:22:04, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 2.9557, loss: 2.9557 2023-12-25 05:12:57,415 - pyskl - INFO - Epoch [125][1100/3405] lr: 1.764e-03, eta: 6:21:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 2.9585, loss: 2.9585 2023-12-25 05:13:22,678 - pyskl - INFO - Epoch [125][1200/3405] lr: 1.760e-03, eta: 6:21:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9449, loss: 2.9449 2023-12-25 05:13:47,942 - pyskl - INFO - Epoch [125][1300/3405] lr: 1.757e-03, eta: 6:20:45, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 2.9435, loss: 2.9435 2023-12-25 05:14:13,341 - pyskl - INFO - Epoch [125][1400/3405] lr: 1.753e-03, eta: 6:20:19, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.9357, loss: 2.9357 2023-12-25 05:14:38,954 - pyskl - INFO - Epoch [125][1500/3405] lr: 1.749e-03, eta: 6:19:53, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 2.9479, loss: 2.9479 2023-12-25 05:15:04,096 - pyskl - INFO - Epoch [125][1600/3405] lr: 1.745e-03, eta: 6:19:26, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.9404, loss: 2.9404 2023-12-25 05:15:29,313 - pyskl - INFO - Epoch [125][1700/3405] lr: 1.741e-03, eta: 6:19:00, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 2.9485, loss: 2.9485 2023-12-25 05:15:54,799 - pyskl - INFO - Epoch [125][1800/3405] lr: 1.737e-03, eta: 6:18:34, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 2.9500, loss: 2.9500 2023-12-25 05:16:20,188 - pyskl - INFO - Epoch [125][1900/3405] lr: 1.733e-03, eta: 6:18:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 2.9561, loss: 2.9561 2023-12-25 05:16:45,502 - pyskl - INFO - Epoch [125][2000/3405] lr: 1.729e-03, eta: 6:17:41, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9394, loss: 2.9394 2023-12-25 05:17:10,902 - pyskl - INFO - Epoch [125][2100/3405] lr: 1.725e-03, eta: 6:17:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 2.9508, loss: 2.9508 2023-12-25 05:17:36,280 - pyskl - INFO - Epoch [125][2200/3405] lr: 1.721e-03, eta: 6:16:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.9409, loss: 2.9409 2023-12-25 05:18:01,639 - pyskl - INFO - Epoch [125][2300/3405] lr: 1.717e-03, eta: 6:16:22, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 2.9395, loss: 2.9395 2023-12-25 05:18:27,306 - pyskl - INFO - Epoch [125][2400/3405] lr: 1.714e-03, eta: 6:15:55, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 2.9523, loss: 2.9523 2023-12-25 05:18:52,828 - pyskl - INFO - Epoch [125][2500/3405] lr: 1.710e-03, eta: 6:15:29, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9389, loss: 2.9389 2023-12-25 05:19:17,963 - pyskl - INFO - Epoch [125][2600/3405] lr: 1.706e-03, eta: 6:15:03, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 2.9448, loss: 2.9448 2023-12-25 05:19:43,193 - pyskl - INFO - Epoch [125][2700/3405] lr: 1.702e-03, eta: 6:14:36, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 2.9450, loss: 2.9450 2023-12-25 05:20:08,626 - pyskl - INFO - Epoch [125][2800/3405] lr: 1.698e-03, eta: 6:14:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 2.9435, loss: 2.9435 2023-12-25 05:20:33,911 - pyskl - INFO - Epoch [125][2900/3405] lr: 1.694e-03, eta: 6:13:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.9506, loss: 2.9506 2023-12-25 05:20:59,464 - pyskl - INFO - Epoch [125][3000/3405] lr: 1.690e-03, eta: 6:13:17, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9394, loss: 2.9394 2023-12-25 05:21:24,589 - pyskl - INFO - Epoch [125][3100/3405] lr: 1.686e-03, eta: 6:12:51, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 2.9537, loss: 2.9537 2023-12-25 05:21:50,351 - pyskl - INFO - Epoch [125][3200/3405] lr: 1.683e-03, eta: 6:12:25, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 2.9413, loss: 2.9413 2023-12-25 05:22:16,018 - pyskl - INFO - Epoch [125][3300/3405] lr: 1.679e-03, eta: 6:11:58, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 2.9648, loss: 2.9648 2023-12-25 05:22:41,785 - pyskl - INFO - Epoch [125][3400/3405] lr: 1.675e-03, eta: 6:11:32, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 2.9535, loss: 2.9535 2023-12-25 05:22:43,965 - pyskl - INFO - Saving checkpoint at 125 epochs 2023-12-25 05:27:09,335 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 05:27:09,976 - pyskl - INFO - top1_acc 0.8758 top5_acc 0.9741 2023-12-25 05:27:09,981 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_124.pth was removed 2023-12-25 05:27:10,186 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. 2023-12-25 05:27:10,188 - pyskl - INFO - Best top1_acc is 0.8758 at 125 epoch. 2023-12-25 05:27:10,212 - pyskl - INFO - Epoch(val) [125][3718] top1_acc: 0.8758, top5_acc: 0.9741 2023-12-25 05:28:05,155 - pyskl - INFO - Epoch [126][100/3405] lr: 1.671e-03, eta: 6:11:10, time: 0.549, data_time: 0.296, memory: 5236, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 2.9544, loss: 2.9544 2023-12-25 05:28:30,151 - pyskl - INFO - Epoch [126][200/3405] lr: 1.667e-03, eta: 6:10:44, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.9269, loss: 2.9269 2023-12-25 05:28:55,132 - pyskl - INFO - Epoch [126][300/3405] lr: 1.663e-03, eta: 6:10:17, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.9211, loss: 2.9211 2023-12-25 05:29:20,176 - pyskl - INFO - Epoch [126][400/3405] lr: 1.659e-03, eta: 6:09:51, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.9304, loss: 2.9304 2023-12-25 05:29:45,181 - pyskl - INFO - Epoch [126][500/3405] lr: 1.656e-03, eta: 6:09:24, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 2.9297, loss: 2.9297 2023-12-25 05:30:10,302 - pyskl - INFO - Epoch [126][600/3405] lr: 1.652e-03, eta: 6:08:58, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9191, loss: 2.9191 2023-12-25 05:30:35,471 - pyskl - INFO - Epoch [126][700/3405] lr: 1.648e-03, eta: 6:08:32, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 2.9332, loss: 2.9332 2023-12-25 05:31:00,836 - pyskl - INFO - Epoch [126][800/3405] lr: 1.644e-03, eta: 6:08:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.9304, loss: 2.9304 2023-12-25 05:31:26,452 - pyskl - INFO - Epoch [126][900/3405] lr: 1.640e-03, eta: 6:07:39, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.9286, loss: 2.9286 2023-12-25 05:31:51,802 - pyskl - INFO - Epoch [126][1000/3405] lr: 1.636e-03, eta: 6:07:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9250, loss: 2.9250 2023-12-25 05:32:16,743 - pyskl - INFO - Epoch [126][1100/3405] lr: 1.633e-03, eta: 6:06:46, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 2.9314, loss: 2.9314 2023-12-25 05:32:41,709 - pyskl - INFO - Epoch [126][1200/3405] lr: 1.629e-03, eta: 6:06:20, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 2.9296, loss: 2.9296 2023-12-25 05:33:06,666 - pyskl - INFO - Epoch [126][1300/3405] lr: 1.625e-03, eta: 6:05:53, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.9285, loss: 2.9285 2023-12-25 05:33:32,052 - pyskl - INFO - Epoch [126][1400/3405] lr: 1.621e-03, eta: 6:05:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 2.9407, loss: 2.9407 2023-12-25 05:33:57,356 - pyskl - INFO - Epoch [126][1500/3405] lr: 1.618e-03, eta: 6:05:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.9493, loss: 2.9493 2023-12-25 05:34:22,446 - pyskl - INFO - Epoch [126][1600/3405] lr: 1.614e-03, eta: 6:04:34, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.9510, loss: 2.9510 2023-12-25 05:34:47,813 - pyskl - INFO - Epoch [126][1700/3405] lr: 1.610e-03, eta: 6:04:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 2.9390, loss: 2.9390 2023-12-25 05:35:13,388 - pyskl - INFO - Epoch [126][1800/3405] lr: 1.606e-03, eta: 6:03:41, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.9354, loss: 2.9354 2023-12-25 05:35:38,648 - pyskl - INFO - Epoch [126][1900/3405] lr: 1.602e-03, eta: 6:03:15, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.9361, loss: 2.9361 2023-12-25 05:36:04,402 - pyskl - INFO - Epoch [126][2000/3405] lr: 1.599e-03, eta: 6:02:49, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9492, loss: 2.9492 2023-12-25 05:36:29,664 - pyskl - INFO - Epoch [126][2100/3405] lr: 1.595e-03, eta: 6:02:22, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 2.9430, loss: 2.9430 2023-12-25 05:36:55,320 - pyskl - INFO - Epoch [126][2200/3405] lr: 1.591e-03, eta: 6:01:56, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.9398, loss: 2.9398 2023-12-25 05:37:20,637 - pyskl - INFO - Epoch [126][2300/3405] lr: 1.587e-03, eta: 6:01:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 2.9512, loss: 2.9512 2023-12-25 05:37:46,231 - pyskl - INFO - Epoch [126][2400/3405] lr: 1.584e-03, eta: 6:01:04, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.9460, loss: 2.9460 2023-12-25 05:38:11,664 - pyskl - INFO - Epoch [126][2500/3405] lr: 1.580e-03, eta: 6:00:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 2.9481, loss: 2.9481 2023-12-25 05:38:37,020 - pyskl - INFO - Epoch [126][2600/3405] lr: 1.576e-03, eta: 6:00:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 2.9434, loss: 2.9434 2023-12-25 05:39:02,576 - pyskl - INFO - Epoch [126][2700/3405] lr: 1.572e-03, eta: 5:59:45, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 2.9314, loss: 2.9314 2023-12-25 05:39:28,496 - pyskl - INFO - Epoch [126][2800/3405] lr: 1.569e-03, eta: 5:59:18, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.9308, loss: 2.9308 2023-12-25 05:39:53,785 - pyskl - INFO - Epoch [126][2900/3405] lr: 1.565e-03, eta: 5:58:52, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.9306, loss: 2.9306 2023-12-25 05:40:19,081 - pyskl - INFO - Epoch [126][3000/3405] lr: 1.561e-03, eta: 5:58:26, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9389, loss: 2.9389 2023-12-25 05:40:44,244 - pyskl - INFO - Epoch [126][3100/3405] lr: 1.558e-03, eta: 5:57:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.9431, loss: 2.9431 2023-12-25 05:41:09,724 - pyskl - INFO - Epoch [126][3200/3405] lr: 1.554e-03, eta: 5:57:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 2.9376, loss: 2.9376 2023-12-25 05:41:35,235 - pyskl - INFO - Epoch [126][3300/3405] lr: 1.550e-03, eta: 5:57:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 2.9411, loss: 2.9411 2023-12-25 05:42:00,691 - pyskl - INFO - Epoch [126][3400/3405] lr: 1.546e-03, eta: 5:56:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.9344, loss: 2.9344 2023-12-25 05:42:02,682 - pyskl - INFO - Saving checkpoint at 126 epochs 2023-12-25 05:46:28,620 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 05:46:29,318 - pyskl - INFO - top1_acc 0.8780 top5_acc 0.9744 2023-12-25 05:46:29,323 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_125.pth was removed 2023-12-25 05:46:29,529 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. 2023-12-25 05:46:29,531 - pyskl - INFO - Best top1_acc is 0.8780 at 126 epoch. 2023-12-25 05:46:29,556 - pyskl - INFO - Epoch(val) [126][3718] top1_acc: 0.8780, top5_acc: 0.9744 2023-12-25 05:47:24,226 - pyskl - INFO - Epoch [127][100/3405] lr: 1.543e-03, eta: 5:56:18, time: 0.547, data_time: 0.295, memory: 5236, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.9212, loss: 2.9212 2023-12-25 05:47:49,196 - pyskl - INFO - Epoch [127][200/3405] lr: 1.539e-03, eta: 5:55:51, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 2.9303, loss: 2.9303 2023-12-25 05:48:14,462 - pyskl - INFO - Epoch [127][300/3405] lr: 1.535e-03, eta: 5:55:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 2.9242, loss: 2.9242 2023-12-25 05:48:40,285 - pyskl - INFO - Epoch [127][400/3405] lr: 1.531e-03, eta: 5:54:59, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9350, loss: 2.9350 2023-12-25 05:49:06,146 - pyskl - INFO - Epoch [127][500/3405] lr: 1.528e-03, eta: 5:54:33, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9361, loss: 2.9361 2023-12-25 05:49:32,591 - pyskl - INFO - Epoch [127][600/3405] lr: 1.524e-03, eta: 5:54:06, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.9225, loss: 2.9225 2023-12-25 05:49:58,450 - pyskl - INFO - Epoch [127][700/3405] lr: 1.520e-03, eta: 5:53:40, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9224, loss: 2.9224 2023-12-25 05:50:23,955 - pyskl - INFO - Epoch [127][800/3405] lr: 1.517e-03, eta: 5:53:14, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.9187, loss: 2.9187 2023-12-25 05:50:49,329 - pyskl - INFO - Epoch [127][900/3405] lr: 1.513e-03, eta: 5:52:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 2.9200, loss: 2.9200 2023-12-25 05:51:14,886 - pyskl - INFO - Epoch [127][1000/3405] lr: 1.509e-03, eta: 5:52:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.9152, loss: 2.9152 2023-12-25 05:51:40,207 - pyskl - INFO - Epoch [127][1100/3405] lr: 1.506e-03, eta: 5:51:55, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 2.9330, loss: 2.9330 2023-12-25 05:52:05,705 - pyskl - INFO - Epoch [127][1200/3405] lr: 1.502e-03, eta: 5:51:29, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9210, loss: 2.9210 2023-12-25 05:52:30,815 - pyskl - INFO - Epoch [127][1300/3405] lr: 1.498e-03, eta: 5:51:02, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 2.9327, loss: 2.9327 2023-12-25 05:52:56,498 - pyskl - INFO - Epoch [127][1400/3405] lr: 1.495e-03, eta: 5:50:36, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.9240, loss: 2.9240 2023-12-25 05:53:21,672 - pyskl - INFO - Epoch [127][1500/3405] lr: 1.491e-03, eta: 5:50:09, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.9247, loss: 2.9247 2023-12-25 05:53:47,125 - pyskl - INFO - Epoch [127][1600/3405] lr: 1.487e-03, eta: 5:49:43, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.9211, loss: 2.9211 2023-12-25 05:54:12,427 - pyskl - INFO - Epoch [127][1700/3405] lr: 1.484e-03, eta: 5:49:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.9290, loss: 2.9290 2023-12-25 05:54:37,820 - pyskl - INFO - Epoch [127][1800/3405] lr: 1.480e-03, eta: 5:48:50, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 2.9356, loss: 2.9356 2023-12-25 05:55:03,166 - pyskl - INFO - Epoch [127][1900/3405] lr: 1.477e-03, eta: 5:48:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.9342, loss: 2.9342 2023-12-25 05:55:29,033 - pyskl - INFO - Epoch [127][2000/3405] lr: 1.473e-03, eta: 5:47:58, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.9263, loss: 2.9263 2023-12-25 05:55:54,136 - pyskl - INFO - Epoch [127][2100/3405] lr: 1.469e-03, eta: 5:47:31, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 2.9384, loss: 2.9384 2023-12-25 05:56:19,834 - pyskl - INFO - Epoch [127][2200/3405] lr: 1.466e-03, eta: 5:47:05, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 2.9319, loss: 2.9319 2023-12-25 05:56:45,832 - pyskl - INFO - Epoch [127][2300/3405] lr: 1.462e-03, eta: 5:46:39, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.9284, loss: 2.9284 2023-12-25 05:57:11,717 - pyskl - INFO - Epoch [127][2400/3405] lr: 1.459e-03, eta: 5:46:13, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 2.9398, loss: 2.9398 2023-12-25 05:57:37,088 - pyskl - INFO - Epoch [127][2500/3405] lr: 1.455e-03, eta: 5:45:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.9222, loss: 2.9222 2023-12-25 05:58:02,634 - pyskl - INFO - Epoch [127][2600/3405] lr: 1.451e-03, eta: 5:45:20, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9183, loss: 2.9183 2023-12-25 05:58:27,960 - pyskl - INFO - Epoch [127][2700/3405] lr: 1.448e-03, eta: 5:44:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.9350, loss: 2.9350 2023-12-25 05:58:53,193 - pyskl - INFO - Epoch [127][2800/3405] lr: 1.444e-03, eta: 5:44:27, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.9218, loss: 2.9218 2023-12-25 05:59:18,770 - pyskl - INFO - Epoch [127][2900/3405] lr: 1.441e-03, eta: 5:44:01, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.9249, loss: 2.9249 2023-12-25 05:59:44,127 - pyskl - INFO - Epoch [127][3000/3405] lr: 1.437e-03, eta: 5:43:35, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.9304, loss: 2.9304 2023-12-25 06:00:09,334 - pyskl - INFO - Epoch [127][3100/3405] lr: 1.433e-03, eta: 5:43:08, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.9302, loss: 2.9302 2023-12-25 06:00:34,881 - pyskl - INFO - Epoch [127][3200/3405] lr: 1.430e-03, eta: 5:42:42, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 2.9345, loss: 2.9345 2023-12-25 06:01:00,318 - pyskl - INFO - Epoch [127][3300/3405] lr: 1.426e-03, eta: 5:42:16, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.9275, loss: 2.9275 2023-12-25 06:01:25,900 - pyskl - INFO - Epoch [127][3400/3405] lr: 1.423e-03, eta: 5:41:49, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.9256, loss: 2.9256 2023-12-25 06:01:27,964 - pyskl - INFO - Saving checkpoint at 127 epochs 2023-12-25 06:05:54,101 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 06:05:54,777 - pyskl - INFO - top1_acc 0.8804 top5_acc 0.9759 2023-12-25 06:05:54,781 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_126.pth was removed 2023-12-25 06:05:54,987 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. 2023-12-25 06:05:54,989 - pyskl - INFO - Best top1_acc is 0.8804 at 127 epoch. 2023-12-25 06:05:55,014 - pyskl - INFO - Epoch(val) [127][3718] top1_acc: 0.8804, top5_acc: 0.9759 2023-12-25 06:06:49,603 - pyskl - INFO - Epoch [128][100/3405] lr: 1.419e-03, eta: 5:41:27, time: 0.546, data_time: 0.295, memory: 5236, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 2.9203, loss: 2.9203 2023-12-25 06:07:14,657 - pyskl - INFO - Epoch [128][200/3405] lr: 1.415e-03, eta: 5:41:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9117, loss: 2.9117 2023-12-25 06:07:39,654 - pyskl - INFO - Epoch [128][300/3405] lr: 1.412e-03, eta: 5:40:34, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9167, loss: 2.9167 2023-12-25 06:08:04,703 - pyskl - INFO - Epoch [128][400/3405] lr: 1.408e-03, eta: 5:40:08, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9113, loss: 2.9113 2023-12-25 06:08:29,872 - pyskl - INFO - Epoch [128][500/3405] lr: 1.405e-03, eta: 5:39:41, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9160, loss: 2.9160 2023-12-25 06:08:55,107 - pyskl - INFO - Epoch [128][600/3405] lr: 1.401e-03, eta: 5:39:15, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.9237, loss: 2.9237 2023-12-25 06:09:20,168 - pyskl - INFO - Epoch [128][700/3405] lr: 1.398e-03, eta: 5:38:48, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 2.9322, loss: 2.9322 2023-12-25 06:09:45,385 - pyskl - INFO - Epoch [128][800/3405] lr: 1.394e-03, eta: 5:38:22, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.9204, loss: 2.9204 2023-12-25 06:10:10,689 - pyskl - INFO - Epoch [128][900/3405] lr: 1.391e-03, eta: 5:37:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.9185, loss: 2.9185 2023-12-25 06:10:36,119 - pyskl - INFO - Epoch [128][1000/3405] lr: 1.387e-03, eta: 5:37:29, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9124, loss: 2.9124 2023-12-25 06:11:01,293 - pyskl - INFO - Epoch [128][1100/3405] lr: 1.384e-03, eta: 5:37:03, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.9154, loss: 2.9154 2023-12-25 06:11:27,127 - pyskl - INFO - Epoch [128][1200/3405] lr: 1.380e-03, eta: 5:36:37, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9146, loss: 2.9146 2023-12-25 06:11:52,602 - pyskl - INFO - Epoch [128][1300/3405] lr: 1.377e-03, eta: 5:36:10, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 2.9264, loss: 2.9264 2023-12-25 06:12:18,233 - pyskl - INFO - Epoch [128][1400/3405] lr: 1.373e-03, eta: 5:35:44, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 2.9203, loss: 2.9203 2023-12-25 06:12:43,724 - pyskl - INFO - Epoch [128][1500/3405] lr: 1.370e-03, eta: 5:35:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.9282, loss: 2.9282 2023-12-25 06:13:09,005 - pyskl - INFO - Epoch [128][1600/3405] lr: 1.366e-03, eta: 5:34:52, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 2.9285, loss: 2.9285 2023-12-25 06:13:34,185 - pyskl - INFO - Epoch [128][1700/3405] lr: 1.363e-03, eta: 5:34:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 2.9245, loss: 2.9245 2023-12-25 06:13:59,413 - pyskl - INFO - Epoch [128][1800/3405] lr: 1.359e-03, eta: 5:33:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.9266, loss: 2.9266 2023-12-25 06:14:24,547 - pyskl - INFO - Epoch [128][1900/3405] lr: 1.356e-03, eta: 5:33:32, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9141, loss: 2.9141 2023-12-25 06:14:50,254 - pyskl - INFO - Epoch [128][2000/3405] lr: 1.352e-03, eta: 5:33:06, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9168, loss: 2.9168 2023-12-25 06:15:15,840 - pyskl - INFO - Epoch [128][2100/3405] lr: 1.349e-03, eta: 5:32:40, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9168, loss: 2.9168 2023-12-25 06:15:41,342 - pyskl - INFO - Epoch [128][2200/3405] lr: 1.345e-03, eta: 5:32:14, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9117, loss: 2.9117 2023-12-25 06:16:06,535 - pyskl - INFO - Epoch [128][2300/3405] lr: 1.342e-03, eta: 5:31:47, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9199, loss: 2.9199 2023-12-25 06:16:32,141 - pyskl - INFO - Epoch [128][2400/3405] lr: 1.338e-03, eta: 5:31:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9203, loss: 2.9203 2023-12-25 06:16:57,708 - pyskl - INFO - Epoch [128][2500/3405] lr: 1.335e-03, eta: 5:30:55, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.9164, loss: 2.9164 2023-12-25 06:17:22,766 - pyskl - INFO - Epoch [128][2600/3405] lr: 1.331e-03, eta: 5:30:28, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.9279, loss: 2.9279 2023-12-25 06:17:47,907 - pyskl - INFO - Epoch [128][2700/3405] lr: 1.328e-03, eta: 5:30:02, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 2.9243, loss: 2.9243 2023-12-25 06:18:13,412 - pyskl - INFO - Epoch [128][2800/3405] lr: 1.324e-03, eta: 5:29:36, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9140, loss: 2.9140 2023-12-25 06:18:38,908 - pyskl - INFO - Epoch [128][2900/3405] lr: 1.321e-03, eta: 5:29:09, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 2.9126, loss: 2.9126 2023-12-25 06:19:04,178 - pyskl - INFO - Epoch [128][3000/3405] lr: 1.318e-03, eta: 5:28:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9185, loss: 2.9185 2023-12-25 06:19:29,391 - pyskl - INFO - Epoch [128][3100/3405] lr: 1.314e-03, eta: 5:28:17, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9148, loss: 2.9148 2023-12-25 06:19:54,972 - pyskl - INFO - Epoch [128][3200/3405] lr: 1.311e-03, eta: 5:27:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 2.9233, loss: 2.9233 2023-12-25 06:20:20,977 - pyskl - INFO - Epoch [128][3300/3405] lr: 1.307e-03, eta: 5:27:24, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9149, loss: 2.9149 2023-12-25 06:20:46,267 - pyskl - INFO - Epoch [128][3400/3405] lr: 1.304e-03, eta: 5:26:58, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 2.9180, loss: 2.9180 2023-12-25 06:20:48,481 - pyskl - INFO - Saving checkpoint at 128 epochs 2023-12-25 06:25:14,290 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 06:25:14,923 - pyskl - INFO - top1_acc 0.8847 top5_acc 0.9764 2023-12-25 06:25:14,928 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_127.pth was removed 2023-12-25 06:25:15,136 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. 2023-12-25 06:25:15,137 - pyskl - INFO - Best top1_acc is 0.8847 at 128 epoch. 2023-12-25 06:25:15,163 - pyskl - INFO - Epoch(val) [128][3718] top1_acc: 0.8847, top5_acc: 0.9764 2023-12-25 06:26:09,118 - pyskl - INFO - Epoch [129][100/3405] lr: 1.300e-03, eta: 5:26:35, time: 0.539, data_time: 0.287, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9079, loss: 2.9079 2023-12-25 06:26:34,286 - pyskl - INFO - Epoch [129][200/3405] lr: 1.297e-03, eta: 5:26:08, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9150, loss: 2.9150 2023-12-25 06:26:59,439 - pyskl - INFO - Epoch [129][300/3405] lr: 1.293e-03, eta: 5:25:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9103, loss: 2.9103 2023-12-25 06:27:24,642 - pyskl - INFO - Epoch [129][400/3405] lr: 1.290e-03, eta: 5:25:16, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9106, loss: 2.9106 2023-12-25 06:27:49,701 - pyskl - INFO - Epoch [129][500/3405] lr: 1.287e-03, eta: 5:24:49, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 2.9156, loss: 2.9156 2023-12-25 06:28:14,902 - pyskl - INFO - Epoch [129][600/3405] lr: 1.283e-03, eta: 5:24:23, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 2.9123, loss: 2.9123 2023-12-25 06:28:40,100 - pyskl - INFO - Epoch [129][700/3405] lr: 1.280e-03, eta: 5:23:56, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9085, loss: 2.9085 2023-12-25 06:29:05,340 - pyskl - INFO - Epoch [129][800/3405] lr: 1.276e-03, eta: 5:23:30, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9099, loss: 2.9099 2023-12-25 06:29:30,572 - pyskl - INFO - Epoch [129][900/3405] lr: 1.273e-03, eta: 5:23:04, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.9117, loss: 2.9117 2023-12-25 06:29:55,977 - pyskl - INFO - Epoch [129][1000/3405] lr: 1.270e-03, eta: 5:22:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9111, loss: 2.9111 2023-12-25 06:30:21,633 - pyskl - INFO - Epoch [129][1100/3405] lr: 1.266e-03, eta: 5:22:11, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9147, loss: 2.9147 2023-12-25 06:30:47,112 - pyskl - INFO - Epoch [129][1200/3405] lr: 1.263e-03, eta: 5:21:45, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9104, loss: 2.9104 2023-12-25 06:31:12,704 - pyskl - INFO - Epoch [129][1300/3405] lr: 1.260e-03, eta: 5:21:19, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9115, loss: 2.9115 2023-12-25 06:31:38,435 - pyskl - INFO - Epoch [129][1400/3405] lr: 1.256e-03, eta: 5:20:52, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9085, loss: 2.9085 2023-12-25 06:32:04,118 - pyskl - INFO - Epoch [129][1500/3405] lr: 1.253e-03, eta: 5:20:26, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9146, loss: 2.9146 2023-12-25 06:32:29,888 - pyskl - INFO - Epoch [129][1600/3405] lr: 1.249e-03, eta: 5:20:00, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9045, loss: 2.9045 2023-12-25 06:32:55,230 - pyskl - INFO - Epoch [129][1700/3405] lr: 1.246e-03, eta: 5:19:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9019, loss: 2.9019 2023-12-25 06:33:20,632 - pyskl - INFO - Epoch [129][1800/3405] lr: 1.243e-03, eta: 5:19:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9129, loss: 2.9129 2023-12-25 06:33:45,899 - pyskl - INFO - Epoch [129][1900/3405] lr: 1.239e-03, eta: 5:18:41, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9085, loss: 2.9085 2023-12-25 06:34:11,343 - pyskl - INFO - Epoch [129][2000/3405] lr: 1.236e-03, eta: 5:18:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9099, loss: 2.9099 2023-12-25 06:34:36,657 - pyskl - INFO - Epoch [129][2100/3405] lr: 1.233e-03, eta: 5:17:48, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9146, loss: 2.9146 2023-12-25 06:35:01,761 - pyskl - INFO - Epoch [129][2200/3405] lr: 1.229e-03, eta: 5:17:22, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9096, loss: 2.9096 2023-12-25 06:35:27,346 - pyskl - INFO - Epoch [129][2300/3405] lr: 1.226e-03, eta: 5:16:55, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9122, loss: 2.9122 2023-12-25 06:35:53,140 - pyskl - INFO - Epoch [129][2400/3405] lr: 1.223e-03, eta: 5:16:29, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9139, loss: 2.9139 2023-12-25 06:36:18,806 - pyskl - INFO - Epoch [129][2500/3405] lr: 1.219e-03, eta: 5:16:03, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9116, loss: 2.9116 2023-12-25 06:36:44,485 - pyskl - INFO - Epoch [129][2600/3405] lr: 1.216e-03, eta: 5:15:37, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9060, loss: 2.9060 2023-12-25 06:37:09,908 - pyskl - INFO - Epoch [129][2700/3405] lr: 1.213e-03, eta: 5:15:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 2.9189, loss: 2.9189 2023-12-25 06:37:35,371 - pyskl - INFO - Epoch [129][2800/3405] lr: 1.210e-03, eta: 5:14:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9137, loss: 2.9137 2023-12-25 06:38:00,823 - pyskl - INFO - Epoch [129][2900/3405] lr: 1.206e-03, eta: 5:14:18, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9083, loss: 2.9083 2023-12-25 06:38:26,466 - pyskl - INFO - Epoch [129][3000/3405] lr: 1.203e-03, eta: 5:13:51, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.9130, loss: 2.9130 2023-12-25 06:38:51,653 - pyskl - INFO - Epoch [129][3100/3405] lr: 1.200e-03, eta: 5:13:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 2.9157, loss: 2.9157 2023-12-25 06:39:17,132 - pyskl - INFO - Epoch [129][3200/3405] lr: 1.196e-03, eta: 5:12:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.9136, loss: 2.9136 2023-12-25 06:39:42,342 - pyskl - INFO - Epoch [129][3300/3405] lr: 1.193e-03, eta: 5:12:32, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9103, loss: 2.9103 2023-12-25 06:40:08,029 - pyskl - INFO - Epoch [129][3400/3405] lr: 1.190e-03, eta: 5:12:06, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9059, loss: 2.9059 2023-12-25 06:40:10,035 - pyskl - INFO - Saving checkpoint at 129 epochs 2023-12-25 06:44:34,121 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 06:44:34,771 - pyskl - INFO - top1_acc 0.8873 top5_acc 0.9764 2023-12-25 06:44:34,777 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_128.pth was removed 2023-12-25 06:44:35,017 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. 2023-12-25 06:44:35,018 - pyskl - INFO - Best top1_acc is 0.8873 at 129 epoch. 2023-12-25 06:44:35,044 - pyskl - INFO - Epoch(val) [129][3718] top1_acc: 0.8873, top5_acc: 0.9764 2023-12-25 06:45:30,530 - pyskl - INFO - Epoch [130][100/3405] lr: 1.186e-03, eta: 5:11:43, time: 0.555, data_time: 0.293, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9054, loss: 2.9054 2023-12-25 06:45:56,752 - pyskl - INFO - Epoch [130][200/3405] lr: 1.183e-03, eta: 5:11:17, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9052, loss: 2.9052 2023-12-25 06:46:21,936 - pyskl - INFO - Epoch [130][300/3405] lr: 1.180e-03, eta: 5:10:51, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9085, loss: 2.9085 2023-12-25 06:46:47,523 - pyskl - INFO - Epoch [130][400/3405] lr: 1.177e-03, eta: 5:10:24, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 2.9049, loss: 2.9049 2023-12-25 06:47:12,559 - pyskl - INFO - Epoch [130][500/3405] lr: 1.173e-03, eta: 5:09:58, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9051, loss: 2.9051 2023-12-25 06:47:37,869 - pyskl - INFO - Epoch [130][600/3405] lr: 1.170e-03, eta: 5:09:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9050, loss: 2.9050 2023-12-25 06:48:03,328 - pyskl - INFO - Epoch [130][700/3405] lr: 1.167e-03, eta: 5:09:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9005, loss: 2.9005 2023-12-25 06:48:28,784 - pyskl - INFO - Epoch [130][800/3405] lr: 1.164e-03, eta: 5:08:39, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9025, loss: 2.9025 2023-12-25 06:48:54,188 - pyskl - INFO - Epoch [130][900/3405] lr: 1.160e-03, eta: 5:08:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9076, loss: 2.9076 2023-12-25 06:49:19,739 - pyskl - INFO - Epoch [130][1000/3405] lr: 1.157e-03, eta: 5:07:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9050, loss: 2.9050 2023-12-25 06:49:45,380 - pyskl - INFO - Epoch [130][1100/3405] lr: 1.154e-03, eta: 5:07:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9103, loss: 2.9103 2023-12-25 06:50:10,943 - pyskl - INFO - Epoch [130][1200/3405] lr: 1.151e-03, eta: 5:06:54, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9072, loss: 2.9072 2023-12-25 06:50:36,715 - pyskl - INFO - Epoch [130][1300/3405] lr: 1.147e-03, eta: 5:06:28, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9120, loss: 2.9120 2023-12-25 06:51:02,531 - pyskl - INFO - Epoch [130][1400/3405] lr: 1.144e-03, eta: 5:06:01, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9051, loss: 2.9051 2023-12-25 06:51:28,136 - pyskl - INFO - Epoch [130][1500/3405] lr: 1.141e-03, eta: 5:05:35, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9037, loss: 2.9037 2023-12-25 06:51:53,520 - pyskl - INFO - Epoch [130][1600/3405] lr: 1.138e-03, eta: 5:05:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9068, loss: 2.9068 2023-12-25 06:52:18,758 - pyskl - INFO - Epoch [130][1700/3405] lr: 1.135e-03, eta: 5:04:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9084, loss: 2.9084 2023-12-25 06:52:43,936 - pyskl - INFO - Epoch [130][1800/3405] lr: 1.131e-03, eta: 5:04:16, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.9104, loss: 2.9104 2023-12-25 06:53:09,028 - pyskl - INFO - Epoch [130][1900/3405] lr: 1.128e-03, eta: 5:03:50, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9070, loss: 2.9070 2023-12-25 06:53:34,389 - pyskl - INFO - Epoch [130][2000/3405] lr: 1.125e-03, eta: 5:03:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9033, loss: 2.9033 2023-12-25 06:53:59,863 - pyskl - INFO - Epoch [130][2100/3405] lr: 1.122e-03, eta: 5:02:57, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8981, loss: 2.8981 2023-12-25 06:54:25,461 - pyskl - INFO - Epoch [130][2200/3405] lr: 1.119e-03, eta: 5:02:31, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8972, loss: 2.8972 2023-12-25 06:54:50,900 - pyskl - INFO - Epoch [130][2300/3405] lr: 1.116e-03, eta: 5:02:04, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.9100, loss: 2.9100 2023-12-25 06:55:16,412 - pyskl - INFO - Epoch [130][2400/3405] lr: 1.112e-03, eta: 5:01:38, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.9145, loss: 2.9145 2023-12-25 06:55:42,010 - pyskl - INFO - Epoch [130][2500/3405] lr: 1.109e-03, eta: 5:01:12, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.9128, loss: 2.9128 2023-12-25 06:56:07,523 - pyskl - INFO - Epoch [130][2600/3405] lr: 1.106e-03, eta: 5:00:46, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9156, loss: 2.9156 2023-12-25 06:56:32,548 - pyskl - INFO - Epoch [130][2700/3405] lr: 1.103e-03, eta: 5:00:19, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9110, loss: 2.9110 2023-12-25 06:56:57,639 - pyskl - INFO - Epoch [130][2800/3405] lr: 1.100e-03, eta: 4:59:53, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 2.9139, loss: 2.9139 2023-12-25 06:57:22,973 - pyskl - INFO - Epoch [130][2900/3405] lr: 1.097e-03, eta: 4:59:27, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9084, loss: 2.9084 2023-12-25 06:57:48,287 - pyskl - INFO - Epoch [130][3000/3405] lr: 1.093e-03, eta: 4:59:00, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9070, loss: 2.9070 2023-12-25 06:58:14,425 - pyskl - INFO - Epoch [130][3100/3405] lr: 1.090e-03, eta: 4:58:34, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9128, loss: 2.9128 2023-12-25 06:58:39,568 - pyskl - INFO - Epoch [130][3200/3405] lr: 1.087e-03, eta: 4:58:08, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9028, loss: 2.9028 2023-12-25 06:59:05,091 - pyskl - INFO - Epoch [130][3300/3405] lr: 1.084e-03, eta: 4:57:41, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9076, loss: 2.9076 2023-12-25 06:59:30,856 - pyskl - INFO - Epoch [130][3400/3405] lr: 1.081e-03, eta: 4:57:15, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9061, loss: 2.9061 2023-12-25 06:59:32,827 - pyskl - INFO - Saving checkpoint at 130 epochs 2023-12-25 07:03:57,599 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 07:03:58,303 - pyskl - INFO - top1_acc 0.8879 top5_acc 0.9766 2023-12-25 07:03:58,307 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_129.pth was removed 2023-12-25 07:03:58,515 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. 2023-12-25 07:03:58,517 - pyskl - INFO - Best top1_acc is 0.8879 at 130 epoch. 2023-12-25 07:03:58,543 - pyskl - INFO - Epoch(val) [130][3718] top1_acc: 0.8879, top5_acc: 0.9766 2023-12-25 07:04:53,022 - pyskl - INFO - Epoch [131][100/3405] lr: 1.078e-03, eta: 4:56:52, time: 0.545, data_time: 0.291, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8977, loss: 2.8977 2023-12-25 07:05:17,944 - pyskl - INFO - Epoch [131][200/3405] lr: 1.074e-03, eta: 4:56:25, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8993, loss: 2.8993 2023-12-25 07:05:42,898 - pyskl - INFO - Epoch [131][300/3405] lr: 1.071e-03, eta: 4:55:59, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9041, loss: 2.9041 2023-12-25 07:06:07,881 - pyskl - INFO - Epoch [131][400/3405] lr: 1.068e-03, eta: 4:55:33, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9041, loss: 2.9041 2023-12-25 07:06:32,986 - pyskl - INFO - Epoch [131][500/3405] lr: 1.065e-03, eta: 4:55:06, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9070, loss: 2.9070 2023-12-25 07:06:58,067 - pyskl - INFO - Epoch [131][600/3405] lr: 1.062e-03, eta: 4:54:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9009, loss: 2.9009 2023-12-25 07:07:23,501 - pyskl - INFO - Epoch [131][700/3405] lr: 1.059e-03, eta: 4:54:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9050, loss: 2.9050 2023-12-25 07:07:48,610 - pyskl - INFO - Epoch [131][800/3405] lr: 1.056e-03, eta: 4:53:47, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9089, loss: 2.9089 2023-12-25 07:08:13,795 - pyskl - INFO - Epoch [131][900/3405] lr: 1.053e-03, eta: 4:53:21, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9081, loss: 2.9081 2023-12-25 07:08:38,884 - pyskl - INFO - Epoch [131][1000/3405] lr: 1.050e-03, eta: 4:52:55, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9028, loss: 2.9028 2023-12-25 07:09:04,662 - pyskl - INFO - Epoch [131][1100/3405] lr: 1.047e-03, eta: 4:52:28, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9017, loss: 2.9017 2023-12-25 07:09:29,667 - pyskl - INFO - Epoch [131][1200/3405] lr: 1.043e-03, eta: 4:52:02, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9059, loss: 2.9059 2023-12-25 07:09:54,668 - pyskl - INFO - Epoch [131][1300/3405] lr: 1.040e-03, eta: 4:51:36, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9004, loss: 2.9004 2023-12-25 07:10:19,855 - pyskl - INFO - Epoch [131][1400/3405] lr: 1.037e-03, eta: 4:51:09, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 2.9030, loss: 2.9030 2023-12-25 07:10:45,190 - pyskl - INFO - Epoch [131][1500/3405] lr: 1.034e-03, eta: 4:50:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8993, loss: 2.8993 2023-12-25 07:11:10,788 - pyskl - INFO - Epoch [131][1600/3405] lr: 1.031e-03, eta: 4:50:17, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9025, loss: 2.9025 2023-12-25 07:11:36,383 - pyskl - INFO - Epoch [131][1700/3405] lr: 1.028e-03, eta: 4:49:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 2.9101, loss: 2.9101 2023-12-25 07:12:01,641 - pyskl - INFO - Epoch [131][1800/3405] lr: 1.025e-03, eta: 4:49:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9068, loss: 2.9068 2023-12-25 07:12:27,122 - pyskl - INFO - Epoch [131][1900/3405] lr: 1.022e-03, eta: 4:48:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9055, loss: 2.9055 2023-12-25 07:12:52,402 - pyskl - INFO - Epoch [131][2000/3405] lr: 1.019e-03, eta: 4:48:31, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9068, loss: 2.9068 2023-12-25 07:13:17,952 - pyskl - INFO - Epoch [131][2100/3405] lr: 1.016e-03, eta: 4:48:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9031, loss: 2.9031 2023-12-25 07:13:43,496 - pyskl - INFO - Epoch [131][2200/3405] lr: 1.013e-03, eta: 4:47:39, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9046, loss: 2.9046 2023-12-25 07:14:08,757 - pyskl - INFO - Epoch [131][2300/3405] lr: 1.010e-03, eta: 4:47:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9062, loss: 2.9062 2023-12-25 07:14:34,421 - pyskl - INFO - Epoch [131][2400/3405] lr: 1.007e-03, eta: 4:46:46, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8994, loss: 2.8994 2023-12-25 07:15:00,386 - pyskl - INFO - Epoch [131][2500/3405] lr: 1.004e-03, eta: 4:46:20, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9050, loss: 2.9050 2023-12-25 07:15:25,696 - pyskl - INFO - Epoch [131][2600/3405] lr: 1.001e-03, eta: 4:45:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8993, loss: 2.8993 2023-12-25 07:15:50,725 - pyskl - INFO - Epoch [131][2700/3405] lr: 9.979e-04, eta: 4:45:27, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8992, loss: 2.8992 2023-12-25 07:16:15,725 - pyskl - INFO - Epoch [131][2800/3405] lr: 9.948e-04, eta: 4:45:01, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8986, loss: 2.8986 2023-12-25 07:16:40,759 - pyskl - INFO - Epoch [131][2900/3405] lr: 9.918e-04, eta: 4:44:35, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9031, loss: 2.9031 2023-12-25 07:17:05,814 - pyskl - INFO - Epoch [131][3000/3405] lr: 9.888e-04, eta: 4:44:08, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9025, loss: 2.9025 2023-12-25 07:17:30,866 - pyskl - INFO - Epoch [131][3100/3405] lr: 9.858e-04, eta: 4:43:42, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.9014, loss: 2.9014 2023-12-25 07:17:55,969 - pyskl - INFO - Epoch [131][3200/3405] lr: 9.829e-04, eta: 4:43:15, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9038, loss: 2.9038 2023-12-25 07:18:21,560 - pyskl - INFO - Epoch [131][3300/3405] lr: 9.799e-04, eta: 4:42:49, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.9013, loss: 2.9013 2023-12-25 07:18:47,083 - pyskl - INFO - Epoch [131][3400/3405] lr: 9.769e-04, eta: 4:42:23, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9040, loss: 2.9040 2023-12-25 07:18:49,217 - pyskl - INFO - Saving checkpoint at 131 epochs 2023-12-25 07:23:14,022 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 07:23:14,683 - pyskl - INFO - top1_acc 0.8873 top5_acc 0.9760 2023-12-25 07:23:14,709 - pyskl - INFO - Epoch(val) [131][3718] top1_acc: 0.8873, top5_acc: 0.9760 2023-12-25 07:24:09,169 - pyskl - INFO - Epoch [132][100/3405] lr: 9.738e-04, eta: 4:41:59, time: 0.545, data_time: 0.291, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8975, loss: 2.8975 2023-12-25 07:24:34,353 - pyskl - INFO - Epoch [132][200/3405] lr: 9.708e-04, eta: 4:41:33, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9006, loss: 2.9006 2023-12-25 07:24:59,568 - pyskl - INFO - Epoch [132][300/3405] lr: 9.678e-04, eta: 4:41:07, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8965, loss: 2.8965 2023-12-25 07:25:25,022 - pyskl - INFO - Epoch [132][400/3405] lr: 9.649e-04, eta: 4:40:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8956, loss: 2.8956 2023-12-25 07:25:50,925 - pyskl - INFO - Epoch [132][500/3405] lr: 9.619e-04, eta: 4:40:14, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.9003, loss: 2.9003 2023-12-25 07:26:17,424 - pyskl - INFO - Epoch [132][600/3405] lr: 9.589e-04, eta: 4:39:48, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9019, loss: 2.9019 2023-12-25 07:26:43,960 - pyskl - INFO - Epoch [132][700/3405] lr: 9.560e-04, eta: 4:39:22, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8973, loss: 2.8973 2023-12-25 07:27:10,472 - pyskl - INFO - Epoch [132][800/3405] lr: 9.530e-04, eta: 4:38:56, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8957, loss: 2.8957 2023-12-25 07:27:36,951 - pyskl - INFO - Epoch [132][900/3405] lr: 9.501e-04, eta: 4:38:30, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8962, loss: 2.8962 2023-12-25 07:28:03,441 - pyskl - INFO - Epoch [132][1000/3405] lr: 9.472e-04, eta: 4:38:03, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8961, loss: 2.8961 2023-12-25 07:28:29,064 - pyskl - INFO - Epoch [132][1100/3405] lr: 9.442e-04, eta: 4:37:37, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8966, loss: 2.8966 2023-12-25 07:28:54,466 - pyskl - INFO - Epoch [132][1200/3405] lr: 9.413e-04, eta: 4:37:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8933, loss: 2.8933 2023-12-25 07:29:19,796 - pyskl - INFO - Epoch [132][1300/3405] lr: 9.384e-04, eta: 4:36:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8955, loss: 2.8955 2023-12-25 07:29:45,378 - pyskl - INFO - Epoch [132][1400/3405] lr: 9.355e-04, eta: 4:36:18, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8945, loss: 2.8945 2023-12-25 07:30:11,104 - pyskl - INFO - Epoch [132][1500/3405] lr: 9.325e-04, eta: 4:35:52, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9018, loss: 2.9018 2023-12-25 07:30:36,195 - pyskl - INFO - Epoch [132][1600/3405] lr: 9.296e-04, eta: 4:35:26, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8993, loss: 2.8993 2023-12-25 07:31:01,338 - pyskl - INFO - Epoch [132][1700/3405] lr: 9.267e-04, eta: 4:34:59, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8952, loss: 2.8952 2023-12-25 07:31:26,560 - pyskl - INFO - Epoch [132][1800/3405] lr: 9.238e-04, eta: 4:34:33, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8938, loss: 2.8938 2023-12-25 07:31:52,293 - pyskl - INFO - Epoch [132][1900/3405] lr: 9.209e-04, eta: 4:34:07, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8997, loss: 2.8997 2023-12-25 07:32:17,695 - pyskl - INFO - Epoch [132][2000/3405] lr: 9.180e-04, eta: 4:33:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9003, loss: 2.9003 2023-12-25 07:32:43,653 - pyskl - INFO - Epoch [132][2100/3405] lr: 9.151e-04, eta: 4:33:14, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8971, loss: 2.8971 2023-12-25 07:33:09,151 - pyskl - INFO - Epoch [132][2200/3405] lr: 9.122e-04, eta: 4:32:48, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9002, loss: 2.9002 2023-12-25 07:33:34,864 - pyskl - INFO - Epoch [132][2300/3405] lr: 9.094e-04, eta: 4:32:22, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8994, loss: 2.8994 2023-12-25 07:34:00,278 - pyskl - INFO - Epoch [132][2400/3405] lr: 9.065e-04, eta: 4:31:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8943, loss: 2.8943 2023-12-25 07:34:26,492 - pyskl - INFO - Epoch [132][2500/3405] lr: 9.036e-04, eta: 4:31:29, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8970, loss: 2.8970 2023-12-25 07:34:51,946 - pyskl - INFO - Epoch [132][2600/3405] lr: 9.007e-04, eta: 4:31:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8971, loss: 2.8971 2023-12-25 07:35:17,331 - pyskl - INFO - Epoch [132][2700/3405] lr: 8.979e-04, eta: 4:30:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8943, loss: 2.8943 2023-12-25 07:35:42,666 - pyskl - INFO - Epoch [132][2800/3405] lr: 8.950e-04, eta: 4:30:10, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8978, loss: 2.8978 2023-12-25 07:36:08,418 - pyskl - INFO - Epoch [132][2900/3405] lr: 8.922e-04, eta: 4:29:44, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.9004, loss: 2.9004 2023-12-25 07:36:33,645 - pyskl - INFO - Epoch [132][3000/3405] lr: 8.893e-04, eta: 4:29:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9037, loss: 2.9037 2023-12-25 07:36:59,122 - pyskl - INFO - Epoch [132][3100/3405] lr: 8.865e-04, eta: 4:28:51, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.9003, loss: 2.9003 2023-12-25 07:37:24,369 - pyskl - INFO - Epoch [132][3200/3405] lr: 8.836e-04, eta: 4:28:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 2.9060, loss: 2.9060 2023-12-25 07:37:50,077 - pyskl - INFO - Epoch [132][3300/3405] lr: 8.808e-04, eta: 4:27:59, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9047, loss: 2.9047 2023-12-25 07:38:15,511 - pyskl - INFO - Epoch [132][3400/3405] lr: 8.780e-04, eta: 4:27:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8992, loss: 2.8992 2023-12-25 07:38:17,487 - pyskl - INFO - Saving checkpoint at 132 epochs 2023-12-25 07:42:42,442 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 07:42:43,132 - pyskl - INFO - top1_acc 0.8886 top5_acc 0.9769 2023-12-25 07:42:43,136 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_130.pth was removed 2023-12-25 07:42:43,344 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. 2023-12-25 07:42:43,346 - pyskl - INFO - Best top1_acc is 0.8886 at 132 epoch. 2023-12-25 07:42:43,371 - pyskl - INFO - Epoch(val) [132][3718] top1_acc: 0.8886, top5_acc: 0.9769 2023-12-25 07:43:38,504 - pyskl - INFO - Epoch [133][100/3405] lr: 8.750e-04, eta: 4:27:09, time: 0.551, data_time: 0.295, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8926, loss: 2.8926 2023-12-25 07:44:03,764 - pyskl - INFO - Epoch [133][200/3405] lr: 8.722e-04, eta: 4:26:42, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8910, loss: 2.8910 2023-12-25 07:44:28,902 - pyskl - INFO - Epoch [133][300/3405] lr: 8.694e-04, eta: 4:26:16, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8971, loss: 2.8971 2023-12-25 07:44:54,548 - pyskl - INFO - Epoch [133][400/3405] lr: 8.665e-04, eta: 4:25:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8998, loss: 2.8998 2023-12-25 07:45:19,672 - pyskl - INFO - Epoch [133][500/3405] lr: 8.637e-04, eta: 4:25:23, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8957, loss: 2.8957 2023-12-25 07:45:44,858 - pyskl - INFO - Epoch [133][600/3405] lr: 8.609e-04, eta: 4:24:57, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8967, loss: 2.8967 2023-12-25 07:46:11,090 - pyskl - INFO - Epoch [133][700/3405] lr: 8.581e-04, eta: 4:24:31, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8965, loss: 2.8965 2023-12-25 07:46:37,639 - pyskl - INFO - Epoch [133][800/3405] lr: 8.553e-04, eta: 4:24:05, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8957, loss: 2.8957 2023-12-25 07:47:04,182 - pyskl - INFO - Epoch [133][900/3405] lr: 8.525e-04, eta: 4:23:39, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8999, loss: 2.8999 2023-12-25 07:47:30,746 - pyskl - INFO - Epoch [133][1000/3405] lr: 8.497e-04, eta: 4:23:13, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8947, loss: 2.8947 2023-12-25 07:47:56,456 - pyskl - INFO - Epoch [133][1100/3405] lr: 8.470e-04, eta: 4:22:46, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8941, loss: 2.8941 2023-12-25 07:48:21,956 - pyskl - INFO - Epoch [133][1200/3405] lr: 8.442e-04, eta: 4:22:20, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8980, loss: 2.8980 2023-12-25 07:48:47,367 - pyskl - INFO - Epoch [133][1300/3405] lr: 8.414e-04, eta: 4:21:54, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8949, loss: 2.8949 2023-12-25 07:49:13,069 - pyskl - INFO - Epoch [133][1400/3405] lr: 8.386e-04, eta: 4:21:27, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8949, loss: 2.8949 2023-12-25 07:49:39,187 - pyskl - INFO - Epoch [133][1500/3405] lr: 8.359e-04, eta: 4:21:01, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8933, loss: 2.8933 2023-12-25 07:50:04,474 - pyskl - INFO - Epoch [133][1600/3405] lr: 8.331e-04, eta: 4:20:35, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8963, loss: 2.8963 2023-12-25 07:50:29,736 - pyskl - INFO - Epoch [133][1700/3405] lr: 8.303e-04, eta: 4:20:09, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8933, loss: 2.8933 2023-12-25 07:50:54,935 - pyskl - INFO - Epoch [133][1800/3405] lr: 8.276e-04, eta: 4:19:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8954, loss: 2.8954 2023-12-25 07:51:21,098 - pyskl - INFO - Epoch [133][1900/3405] lr: 8.248e-04, eta: 4:19:16, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8930, loss: 2.8930 2023-12-25 07:51:46,685 - pyskl - INFO - Epoch [133][2000/3405] lr: 8.221e-04, eta: 4:18:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8925, loss: 2.8925 2023-12-25 07:52:12,213 - pyskl - INFO - Epoch [133][2100/3405] lr: 8.194e-04, eta: 4:18:23, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8987, loss: 2.8987 2023-12-25 07:52:37,849 - pyskl - INFO - Epoch [133][2200/3405] lr: 8.166e-04, eta: 4:17:57, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8946, loss: 2.8946 2023-12-25 07:53:03,203 - pyskl - INFO - Epoch [133][2300/3405] lr: 8.139e-04, eta: 4:17:31, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8918, loss: 2.8918 2023-12-25 07:53:28,986 - pyskl - INFO - Epoch [133][2400/3405] lr: 8.112e-04, eta: 4:17:05, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8972, loss: 2.8972 2023-12-25 07:53:54,562 - pyskl - INFO - Epoch [133][2500/3405] lr: 8.084e-04, eta: 4:16:38, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8998, loss: 2.8998 2023-12-25 07:54:20,054 - pyskl - INFO - Epoch [133][2600/3405] lr: 8.057e-04, eta: 4:16:12, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8947, loss: 2.8947 2023-12-25 07:54:45,241 - pyskl - INFO - Epoch [133][2700/3405] lr: 8.030e-04, eta: 4:15:46, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9018, loss: 2.9018 2023-12-25 07:55:10,464 - pyskl - INFO - Epoch [133][2800/3405] lr: 8.003e-04, eta: 4:15:19, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8967, loss: 2.8967 2023-12-25 07:55:35,824 - pyskl - INFO - Epoch [133][2900/3405] lr: 7.976e-04, eta: 4:14:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8954, loss: 2.8954 2023-12-25 07:56:01,522 - pyskl - INFO - Epoch [133][3000/3405] lr: 7.949e-04, eta: 4:14:27, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8932, loss: 2.8932 2023-12-25 07:56:27,048 - pyskl - INFO - Epoch [133][3100/3405] lr: 7.922e-04, eta: 4:14:01, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8913, loss: 2.8913 2023-12-25 07:56:52,924 - pyskl - INFO - Epoch [133][3200/3405] lr: 7.895e-04, eta: 4:13:34, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8936, loss: 2.8936 2023-12-25 07:57:18,708 - pyskl - INFO - Epoch [133][3300/3405] lr: 7.868e-04, eta: 4:13:08, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8950, loss: 2.8950 2023-12-25 07:57:44,541 - pyskl - INFO - Epoch [133][3400/3405] lr: 7.841e-04, eta: 4:12:42, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8945, loss: 2.8945 2023-12-25 07:57:46,775 - pyskl - INFO - Saving checkpoint at 133 epochs 2023-12-25 08:02:12,067 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 08:02:12,715 - pyskl - INFO - top1_acc 0.8907 top5_acc 0.9768 2023-12-25 08:02:12,720 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_132.pth was removed 2023-12-25 08:02:12,928 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. 2023-12-25 08:02:12,930 - pyskl - INFO - Best top1_acc is 0.8907 at 133 epoch. 2023-12-25 08:02:12,957 - pyskl - INFO - Epoch(val) [133][3718] top1_acc: 0.8907, top5_acc: 0.9768 2023-12-25 08:03:06,487 - pyskl - INFO - Epoch [134][100/3405] lr: 7.813e-04, eta: 4:12:18, time: 0.535, data_time: 0.286, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.9011, loss: 2.9011 2023-12-25 08:03:31,481 - pyskl - INFO - Epoch [134][200/3405] lr: 7.787e-04, eta: 4:11:51, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8917, loss: 2.8917 2023-12-25 08:03:56,605 - pyskl - INFO - Epoch [134][300/3405] lr: 7.760e-04, eta: 4:11:25, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8967, loss: 2.8967 2023-12-25 08:04:21,798 - pyskl - INFO - Epoch [134][400/3405] lr: 7.733e-04, eta: 4:10:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8909, loss: 2.8909 2023-12-25 08:04:46,975 - pyskl - INFO - Epoch [134][500/3405] lr: 7.707e-04, eta: 4:10:32, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8928, loss: 2.8928 2023-12-25 08:05:12,135 - pyskl - INFO - Epoch [134][600/3405] lr: 7.680e-04, eta: 4:10:06, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8918, loss: 2.8918 2023-12-25 08:05:37,194 - pyskl - INFO - Epoch [134][700/3405] lr: 7.653e-04, eta: 4:09:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8947, loss: 2.8947 2023-12-25 08:06:02,183 - pyskl - INFO - Epoch [134][800/3405] lr: 7.627e-04, eta: 4:09:13, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8930, loss: 2.8930 2023-12-25 08:06:27,188 - pyskl - INFO - Epoch [134][900/3405] lr: 7.601e-04, eta: 4:08:47, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8917, loss: 2.8917 2023-12-25 08:06:52,122 - pyskl - INFO - Epoch [134][1000/3405] lr: 7.574e-04, eta: 4:08:21, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8937, loss: 2.8937 2023-12-25 08:07:17,409 - pyskl - INFO - Epoch [134][1100/3405] lr: 7.548e-04, eta: 4:07:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8931, loss: 2.8931 2023-12-25 08:07:42,980 - pyskl - INFO - Epoch [134][1200/3405] lr: 7.522e-04, eta: 4:07:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8931, loss: 2.8931 2023-12-25 08:08:08,235 - pyskl - INFO - Epoch [134][1300/3405] lr: 7.495e-04, eta: 4:07:02, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8944, loss: 2.8944 2023-12-25 08:08:34,390 - pyskl - INFO - Epoch [134][1400/3405] lr: 7.469e-04, eta: 4:06:36, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8958, loss: 2.8958 2023-12-25 08:08:59,979 - pyskl - INFO - Epoch [134][1500/3405] lr: 7.443e-04, eta: 4:06:09, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8948, loss: 2.8948 2023-12-25 08:09:25,464 - pyskl - INFO - Epoch [134][1600/3405] lr: 7.417e-04, eta: 4:05:43, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8940, loss: 2.8940 2023-12-25 08:09:51,800 - pyskl - INFO - Epoch [134][1700/3405] lr: 7.391e-04, eta: 4:05:17, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8950, loss: 2.8950 2023-12-25 08:10:17,159 - pyskl - INFO - Epoch [134][1800/3405] lr: 7.365e-04, eta: 4:04:51, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8910, loss: 2.8910 2023-12-25 08:10:42,472 - pyskl - INFO - Epoch [134][1900/3405] lr: 7.339e-04, eta: 4:04:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8935, loss: 2.8935 2023-12-25 08:11:07,663 - pyskl - INFO - Epoch [134][2000/3405] lr: 7.313e-04, eta: 4:03:58, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8984, loss: 2.8984 2023-12-25 08:11:32,972 - pyskl - INFO - Epoch [134][2100/3405] lr: 7.287e-04, eta: 4:03:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8925, loss: 2.8925 2023-12-25 08:11:59,109 - pyskl - INFO - Epoch [134][2200/3405] lr: 7.261e-04, eta: 4:03:05, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8928, loss: 2.8928 2023-12-25 08:12:24,721 - pyskl - INFO - Epoch [134][2300/3405] lr: 7.235e-04, eta: 4:02:39, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8979, loss: 2.8979 2023-12-25 08:12:50,594 - pyskl - INFO - Epoch [134][2400/3405] lr: 7.210e-04, eta: 4:02:13, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8932, loss: 2.8932 2023-12-25 08:13:16,275 - pyskl - INFO - Epoch [134][2500/3405] lr: 7.184e-04, eta: 4:01:47, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8946, loss: 2.8946 2023-12-25 08:13:41,677 - pyskl - INFO - Epoch [134][2600/3405] lr: 7.158e-04, eta: 4:01:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8968, loss: 2.8968 2023-12-25 08:14:06,887 - pyskl - INFO - Epoch [134][2700/3405] lr: 7.133e-04, eta: 4:00:54, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8935, loss: 2.8935 2023-12-25 08:14:33,019 - pyskl - INFO - Epoch [134][2800/3405] lr: 7.107e-04, eta: 4:00:28, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8936, loss: 2.8936 2023-12-25 08:14:59,574 - pyskl - INFO - Epoch [134][2900/3405] lr: 7.081e-04, eta: 4:00:02, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8938, loss: 2.8938 2023-12-25 08:15:26,141 - pyskl - INFO - Epoch [134][3000/3405] lr: 7.056e-04, eta: 3:59:36, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8967, loss: 2.8967 2023-12-25 08:15:52,723 - pyskl - INFO - Epoch [134][3100/3405] lr: 7.031e-04, eta: 3:59:09, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8942, loss: 2.8942 2023-12-25 08:16:18,655 - pyskl - INFO - Epoch [134][3200/3405] lr: 7.005e-04, eta: 3:58:43, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8967, loss: 2.8967 2023-12-25 08:16:44,013 - pyskl - INFO - Epoch [134][3300/3405] lr: 6.980e-04, eta: 3:58:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 2.8965, loss: 2.8965 2023-12-25 08:17:09,625 - pyskl - INFO - Epoch [134][3400/3405] lr: 6.954e-04, eta: 3:57:51, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8984, loss: 2.8984 2023-12-25 08:17:11,541 - pyskl - INFO - Saving checkpoint at 134 epochs 2023-12-25 08:21:35,376 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 08:21:36,023 - pyskl - INFO - top1_acc 0.8921 top5_acc 0.9774 2023-12-25 08:21:36,033 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_133.pth was removed 2023-12-25 08:21:36,252 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. 2023-12-25 08:21:36,253 - pyskl - INFO - Best top1_acc is 0.8921 at 134 epoch. 2023-12-25 08:21:36,281 - pyskl - INFO - Epoch(val) [134][3718] top1_acc: 0.8921, top5_acc: 0.9774 2023-12-25 08:22:29,682 - pyskl - INFO - Epoch [135][100/3405] lr: 6.928e-04, eta: 3:57:26, time: 0.534, data_time: 0.285, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8929, loss: 2.8929 2023-12-25 08:22:54,585 - pyskl - INFO - Epoch [135][200/3405] lr: 6.903e-04, eta: 3:57:00, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8907, loss: 2.8907 2023-12-25 08:23:19,806 - pyskl - INFO - Epoch [135][300/3405] lr: 6.878e-04, eta: 3:56:34, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8902, loss: 2.8902 2023-12-25 08:23:44,995 - pyskl - INFO - Epoch [135][400/3405] lr: 6.852e-04, eta: 3:56:07, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8934, loss: 2.8934 2023-12-25 08:24:10,998 - pyskl - INFO - Epoch [135][500/3405] lr: 6.827e-04, eta: 3:55:41, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8929, loss: 2.8929 2023-12-25 08:24:37,395 - pyskl - INFO - Epoch [135][600/3405] lr: 6.802e-04, eta: 3:55:15, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8903, loss: 2.8903 2023-12-25 08:25:03,466 - pyskl - INFO - Epoch [135][700/3405] lr: 6.777e-04, eta: 3:54:49, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8886, loss: 2.8886 2023-12-25 08:25:28,499 - pyskl - INFO - Epoch [135][800/3405] lr: 6.752e-04, eta: 3:54:22, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8896, loss: 2.8896 2023-12-25 08:25:53,549 - pyskl - INFO - Epoch [135][900/3405] lr: 6.727e-04, eta: 3:53:56, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8926, loss: 2.8926 2023-12-25 08:26:18,731 - pyskl - INFO - Epoch [135][1000/3405] lr: 6.703e-04, eta: 3:53:30, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8928, loss: 2.8928 2023-12-25 08:26:44,046 - pyskl - INFO - Epoch [135][1100/3405] lr: 6.678e-04, eta: 3:53:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8949, loss: 2.8949 2023-12-25 08:27:09,532 - pyskl - INFO - Epoch [135][1200/3405] lr: 6.653e-04, eta: 3:52:37, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8942, loss: 2.8942 2023-12-25 08:27:34,901 - pyskl - INFO - Epoch [135][1300/3405] lr: 6.628e-04, eta: 3:52:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8909, loss: 2.8909 2023-12-25 08:28:00,695 - pyskl - INFO - Epoch [135][1400/3405] lr: 6.604e-04, eta: 3:51:45, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8918, loss: 2.8918 2023-12-25 08:28:26,903 - pyskl - INFO - Epoch [135][1500/3405] lr: 6.579e-04, eta: 3:51:18, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8947, loss: 2.8947 2023-12-25 08:28:52,541 - pyskl - INFO - Epoch [135][1600/3405] lr: 6.554e-04, eta: 3:50:52, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8915, loss: 2.8915 2023-12-25 08:29:18,009 - pyskl - INFO - Epoch [135][1700/3405] lr: 6.530e-04, eta: 3:50:26, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8920, loss: 2.8920 2023-12-25 08:29:43,298 - pyskl - INFO - Epoch [135][1800/3405] lr: 6.505e-04, eta: 3:50:00, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8941, loss: 2.8941 2023-12-25 08:30:08,760 - pyskl - INFO - Epoch [135][1900/3405] lr: 6.481e-04, eta: 3:49:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8931, loss: 2.8931 2023-12-25 08:30:34,091 - pyskl - INFO - Epoch [135][2000/3405] lr: 6.456e-04, eta: 3:49:07, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8937, loss: 2.8937 2023-12-25 08:30:59,265 - pyskl - INFO - Epoch [135][2100/3405] lr: 6.432e-04, eta: 3:48:41, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8899, loss: 2.8899 2023-12-25 08:31:24,908 - pyskl - INFO - Epoch [135][2200/3405] lr: 6.408e-04, eta: 3:48:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8961, loss: 2.8961 2023-12-25 08:31:50,499 - pyskl - INFO - Epoch [135][2300/3405] lr: 6.383e-04, eta: 3:47:48, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8938, loss: 2.8938 2023-12-25 08:32:16,232 - pyskl - INFO - Epoch [135][2400/3405] lr: 6.359e-04, eta: 3:47:22, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8920, loss: 2.8920 2023-12-25 08:32:41,802 - pyskl - INFO - Epoch [135][2500/3405] lr: 6.335e-04, eta: 3:46:56, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8951, loss: 2.8951 2023-12-25 08:33:07,246 - pyskl - INFO - Epoch [135][2600/3405] lr: 6.311e-04, eta: 3:46:29, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8977, loss: 2.8977 2023-12-25 08:33:32,783 - pyskl - INFO - Epoch [135][2700/3405] lr: 6.287e-04, eta: 3:46:03, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8917, loss: 2.8917 2023-12-25 08:33:58,231 - pyskl - INFO - Epoch [135][2800/3405] lr: 6.263e-04, eta: 3:45:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8935, loss: 2.8935 2023-12-25 08:34:23,566 - pyskl - INFO - Epoch [135][2900/3405] lr: 6.239e-04, eta: 3:45:10, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8938, loss: 2.8938 2023-12-25 08:34:48,839 - pyskl - INFO - Epoch [135][3000/3405] lr: 6.215e-04, eta: 3:44:44, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8949, loss: 2.8949 2023-12-25 08:35:13,996 - pyskl - INFO - Epoch [135][3100/3405] lr: 6.191e-04, eta: 3:44:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8936, loss: 2.8936 2023-12-25 08:35:39,947 - pyskl - INFO - Epoch [135][3200/3405] lr: 6.167e-04, eta: 3:43:52, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8921, loss: 2.8921 2023-12-25 08:36:05,301 - pyskl - INFO - Epoch [135][3300/3405] lr: 6.143e-04, eta: 3:43:25, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8912, loss: 2.8912 2023-12-25 08:36:31,183 - pyskl - INFO - Epoch [135][3400/3405] lr: 6.119e-04, eta: 3:42:59, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8928, loss: 2.8928 2023-12-25 08:36:33,125 - pyskl - INFO - Saving checkpoint at 135 epochs 2023-12-25 08:40:57,855 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 08:40:58,478 - pyskl - INFO - top1_acc 0.8927 top5_acc 0.9775 2023-12-25 08:40:58,482 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_134.pth was removed 2023-12-25 08:40:58,695 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. 2023-12-25 08:40:58,697 - pyskl - INFO - Best top1_acc is 0.8927 at 135 epoch. 2023-12-25 08:40:58,727 - pyskl - INFO - Epoch(val) [135][3718] top1_acc: 0.8927, top5_acc: 0.9775 2023-12-25 08:41:52,404 - pyskl - INFO - Epoch [136][100/3405] lr: 6.094e-04, eta: 3:42:35, time: 0.537, data_time: 0.286, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8906, loss: 2.8906 2023-12-25 08:42:17,392 - pyskl - INFO - Epoch [136][200/3405] lr: 6.071e-04, eta: 3:42:08, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8939, loss: 2.8939 2023-12-25 08:42:43,102 - pyskl - INFO - Epoch [136][300/3405] lr: 6.047e-04, eta: 3:41:42, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8920, loss: 2.8920 2023-12-25 08:43:08,940 - pyskl - INFO - Epoch [136][400/3405] lr: 6.023e-04, eta: 3:41:16, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8944, loss: 2.8944 2023-12-25 08:43:34,410 - pyskl - INFO - Epoch [136][500/3405] lr: 6.000e-04, eta: 3:40:49, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8942, loss: 2.8942 2023-12-25 08:44:00,363 - pyskl - INFO - Epoch [136][600/3405] lr: 5.976e-04, eta: 3:40:23, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8910, loss: 2.8910 2023-12-25 08:44:26,764 - pyskl - INFO - Epoch [136][700/3405] lr: 5.953e-04, eta: 3:39:57, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8913, loss: 2.8913 2023-12-25 08:44:51,990 - pyskl - INFO - Epoch [136][800/3405] lr: 5.930e-04, eta: 3:39:31, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8940, loss: 2.8940 2023-12-25 08:45:17,242 - pyskl - INFO - Epoch [136][900/3405] lr: 5.906e-04, eta: 3:39:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8961, loss: 2.8961 2023-12-25 08:45:42,811 - pyskl - INFO - Epoch [136][1000/3405] lr: 5.883e-04, eta: 3:38:38, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8907, loss: 2.8907 2023-12-25 08:46:08,264 - pyskl - INFO - Epoch [136][1100/3405] lr: 5.860e-04, eta: 3:38:12, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8926, loss: 2.8926 2023-12-25 08:46:33,725 - pyskl - INFO - Epoch [136][1200/3405] lr: 5.836e-04, eta: 3:37:46, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8926, loss: 2.8926 2023-12-25 08:46:59,114 - pyskl - INFO - Epoch [136][1300/3405] lr: 5.813e-04, eta: 3:37:19, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8908, loss: 2.8908 2023-12-25 08:47:24,767 - pyskl - INFO - Epoch [136][1400/3405] lr: 5.790e-04, eta: 3:36:53, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8907, loss: 2.8907 2023-12-25 08:47:50,411 - pyskl - INFO - Epoch [136][1500/3405] lr: 5.767e-04, eta: 3:36:27, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8925, loss: 2.8925 2023-12-25 08:48:15,756 - pyskl - INFO - Epoch [136][1600/3405] lr: 5.744e-04, eta: 3:36:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8908, loss: 2.8908 2023-12-25 08:48:41,034 - pyskl - INFO - Epoch [136][1700/3405] lr: 5.721e-04, eta: 3:35:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8947, loss: 2.8947 2023-12-25 08:49:06,395 - pyskl - INFO - Epoch [136][1800/3405] lr: 5.698e-04, eta: 3:35:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8939, loss: 2.8939 2023-12-25 08:49:31,627 - pyskl - INFO - Epoch [136][1900/3405] lr: 5.675e-04, eta: 3:34:42, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8943, loss: 2.8943 2023-12-25 08:49:56,920 - pyskl - INFO - Epoch [136][2000/3405] lr: 5.652e-04, eta: 3:34:15, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8947, loss: 2.8947 2023-12-25 08:50:22,258 - pyskl - INFO - Epoch [136][2100/3405] lr: 5.629e-04, eta: 3:33:49, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8913, loss: 2.8913 2023-12-25 08:50:47,572 - pyskl - INFO - Epoch [136][2200/3405] lr: 5.606e-04, eta: 3:33:23, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8912, loss: 2.8912 2023-12-25 08:51:13,383 - pyskl - INFO - Epoch [136][2300/3405] lr: 5.584e-04, eta: 3:32:57, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8912, loss: 2.8912 2023-12-25 08:51:39,200 - pyskl - INFO - Epoch [136][2400/3405] lr: 5.561e-04, eta: 3:32:30, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8919, loss: 2.8919 2023-12-25 08:52:04,617 - pyskl - INFO - Epoch [136][2500/3405] lr: 5.538e-04, eta: 3:32:04, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 2023-12-25 08:52:29,765 - pyskl - INFO - Epoch [136][2600/3405] lr: 5.516e-04, eta: 3:31:38, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8924, loss: 2.8924 2023-12-25 08:52:54,974 - pyskl - INFO - Epoch [136][2700/3405] lr: 5.493e-04, eta: 3:31:11, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8899, loss: 2.8899 2023-12-25 08:53:20,082 - pyskl - INFO - Epoch [136][2800/3405] lr: 5.471e-04, eta: 3:30:45, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8938, loss: 2.8938 2023-12-25 08:53:45,232 - pyskl - INFO - Epoch [136][2900/3405] lr: 5.448e-04, eta: 3:30:19, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8932, loss: 2.8932 2023-12-25 08:54:10,473 - pyskl - INFO - Epoch [136][3000/3405] lr: 5.426e-04, eta: 3:29:52, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8930, loss: 2.8930 2023-12-25 08:54:35,906 - pyskl - INFO - Epoch [136][3100/3405] lr: 5.403e-04, eta: 3:29:26, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8949, loss: 2.8949 2023-12-25 08:55:01,900 - pyskl - INFO - Epoch [136][3200/3405] lr: 5.381e-04, eta: 3:29:00, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8924, loss: 2.8924 2023-12-25 08:55:27,580 - pyskl - INFO - Epoch [136][3300/3405] lr: 5.359e-04, eta: 3:28:34, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8939, loss: 2.8939 2023-12-25 08:55:53,780 - pyskl - INFO - Epoch [136][3400/3405] lr: 5.336e-04, eta: 3:28:08, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8926, loss: 2.8926 2023-12-25 08:55:55,785 - pyskl - INFO - Saving checkpoint at 136 epochs 2023-12-25 09:00:20,249 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 09:00:20,854 - pyskl - INFO - top1_acc 0.8927 top5_acc 0.9775 2023-12-25 09:00:20,859 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_135.pth was removed 2023-12-25 09:00:21,066 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. 2023-12-25 09:00:21,068 - pyskl - INFO - Best top1_acc is 0.8927 at 136 epoch. 2023-12-25 09:00:21,093 - pyskl - INFO - Epoch(val) [136][3718] top1_acc: 0.8927, top5_acc: 0.9775 2023-12-25 09:01:14,890 - pyskl - INFO - Epoch [137][100/3405] lr: 5.313e-04, eta: 3:27:43, time: 0.538, data_time: 0.286, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8910, loss: 2.8910 2023-12-25 09:01:39,981 - pyskl - INFO - Epoch [137][200/3405] lr: 5.291e-04, eta: 3:27:16, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8914, loss: 2.8914 2023-12-25 09:02:05,197 - pyskl - INFO - Epoch [137][300/3405] lr: 5.269e-04, eta: 3:26:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8892, loss: 2.8892 2023-12-25 09:02:30,533 - pyskl - INFO - Epoch [137][400/3405] lr: 5.247e-04, eta: 3:26:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8914, loss: 2.8914 2023-12-25 09:02:55,822 - pyskl - INFO - Epoch [137][500/3405] lr: 5.225e-04, eta: 3:25:58, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8902, loss: 2.8902 2023-12-25 09:03:21,033 - pyskl - INFO - Epoch [137][600/3405] lr: 5.203e-04, eta: 3:25:31, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8911, loss: 2.8911 2023-12-25 09:03:47,146 - pyskl - INFO - Epoch [137][700/3405] lr: 5.181e-04, eta: 3:25:05, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8908, loss: 2.8908 2023-12-25 09:04:12,571 - pyskl - INFO - Epoch [137][800/3405] lr: 5.159e-04, eta: 3:24:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8901, loss: 2.8901 2023-12-25 09:04:37,636 - pyskl - INFO - Epoch [137][900/3405] lr: 5.137e-04, eta: 3:24:12, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8891, loss: 2.8891 2023-12-25 09:05:03,410 - pyskl - INFO - Epoch [137][1000/3405] lr: 5.115e-04, eta: 3:23:46, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8901, loss: 2.8901 2023-12-25 09:05:29,981 - pyskl - INFO - Epoch [137][1100/3405] lr: 5.094e-04, eta: 3:23:20, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8906, loss: 2.8906 2023-12-25 09:05:56,749 - pyskl - INFO - Epoch [137][1200/3405] lr: 5.072e-04, eta: 3:22:54, time: 0.268, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8903, loss: 2.8903 2023-12-25 09:06:22,766 - pyskl - INFO - Epoch [137][1300/3405] lr: 5.050e-04, eta: 3:22:28, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8898, loss: 2.8898 2023-12-25 09:06:48,503 - pyskl - INFO - Epoch [137][1400/3405] lr: 5.029e-04, eta: 3:22:01, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8893, loss: 2.8893 2023-12-25 09:07:13,486 - pyskl - INFO - Epoch [137][1500/3405] lr: 5.007e-04, eta: 3:21:35, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8893, loss: 2.8893 2023-12-25 09:07:38,461 - pyskl - INFO - Epoch [137][1600/3405] lr: 4.986e-04, eta: 3:21:09, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8942, loss: 2.8942 2023-12-25 09:08:03,442 - pyskl - INFO - Epoch [137][1700/3405] lr: 4.964e-04, eta: 3:20:43, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8934, loss: 2.8934 2023-12-25 09:08:28,431 - pyskl - INFO - Epoch [137][1800/3405] lr: 4.943e-04, eta: 3:20:16, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8934, loss: 2.8934 2023-12-25 09:08:53,532 - pyskl - INFO - Epoch [137][1900/3405] lr: 4.921e-04, eta: 3:19:50, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8918, loss: 2.8918 2023-12-25 09:09:18,960 - pyskl - INFO - Epoch [137][2000/3405] lr: 4.900e-04, eta: 3:19:24, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8938, loss: 2.8938 2023-12-25 09:09:44,717 - pyskl - INFO - Epoch [137][2100/3405] lr: 4.879e-04, eta: 3:18:57, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8939, loss: 2.8939 2023-12-25 09:10:10,315 - pyskl - INFO - Epoch [137][2200/3405] lr: 4.857e-04, eta: 3:18:31, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8902, loss: 2.8902 2023-12-25 09:10:36,204 - pyskl - INFO - Epoch [137][2300/3405] lr: 4.836e-04, eta: 3:18:05, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8913, loss: 2.8913 2023-12-25 09:11:01,835 - pyskl - INFO - Epoch [137][2400/3405] lr: 4.815e-04, eta: 3:17:39, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8903, loss: 2.8903 2023-12-25 09:11:27,197 - pyskl - INFO - Epoch [137][2500/3405] lr: 4.794e-04, eta: 3:17:12, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8903, loss: 2.8903 2023-12-25 09:11:52,487 - pyskl - INFO - Epoch [137][2600/3405] lr: 4.773e-04, eta: 3:16:46, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8895, loss: 2.8895 2023-12-25 09:12:17,730 - pyskl - INFO - Epoch [137][2700/3405] lr: 4.752e-04, eta: 3:16:20, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8906, loss: 2.8906 2023-12-25 09:12:43,295 - pyskl - INFO - Epoch [137][2800/3405] lr: 4.731e-04, eta: 3:15:54, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8922, loss: 2.8922 2023-12-25 09:13:08,621 - pyskl - INFO - Epoch [137][2900/3405] lr: 4.710e-04, eta: 3:15:27, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8891, loss: 2.8891 2023-12-25 09:13:33,906 - pyskl - INFO - Epoch [137][3000/3405] lr: 4.689e-04, eta: 3:15:01, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 2023-12-25 09:13:59,454 - pyskl - INFO - Epoch [137][3100/3405] lr: 4.668e-04, eta: 3:14:35, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8891, loss: 2.8891 2023-12-25 09:14:25,125 - pyskl - INFO - Epoch [137][3200/3405] lr: 4.647e-04, eta: 3:14:08, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8900, loss: 2.8900 2023-12-25 09:14:50,828 - pyskl - INFO - Epoch [137][3300/3405] lr: 4.627e-04, eta: 3:13:42, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8909, loss: 2.8909 2023-12-25 09:15:16,653 - pyskl - INFO - Epoch [137][3400/3405] lr: 4.606e-04, eta: 3:13:16, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8945, loss: 2.8945 2023-12-25 09:15:18,656 - pyskl - INFO - Saving checkpoint at 137 epochs 2023-12-25 09:19:43,307 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 09:19:43,916 - pyskl - INFO - top1_acc 0.8893 top5_acc 0.9767 2023-12-25 09:19:43,942 - pyskl - INFO - Epoch(val) [137][3718] top1_acc: 0.8893, top5_acc: 0.9767 2023-12-25 09:20:37,458 - pyskl - INFO - Epoch [138][100/3405] lr: 4.584e-04, eta: 3:12:51, time: 0.535, data_time: 0.284, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8924, loss: 2.8924 2023-12-25 09:21:02,560 - pyskl - INFO - Epoch [138][200/3405] lr: 4.564e-04, eta: 3:12:25, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8888, loss: 2.8888 2023-12-25 09:21:27,604 - pyskl - INFO - Epoch [138][300/3405] lr: 4.543e-04, eta: 3:11:58, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8889, loss: 2.8889 2023-12-25 09:21:52,686 - pyskl - INFO - Epoch [138][400/3405] lr: 4.523e-04, eta: 3:11:32, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8916, loss: 2.8916 2023-12-25 09:22:17,824 - pyskl - INFO - Epoch [138][500/3405] lr: 4.502e-04, eta: 3:11:06, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8895, loss: 2.8895 2023-12-25 09:22:43,324 - pyskl - INFO - Epoch [138][600/3405] lr: 4.482e-04, eta: 3:10:39, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8898, loss: 2.8898 2023-12-25 09:23:08,661 - pyskl - INFO - Epoch [138][700/3405] lr: 4.461e-04, eta: 3:10:13, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8908, loss: 2.8908 2023-12-25 09:23:33,828 - pyskl - INFO - Epoch [138][800/3405] lr: 4.441e-04, eta: 3:09:47, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8889, loss: 2.8889 2023-12-25 09:23:58,866 - pyskl - INFO - Epoch [138][900/3405] lr: 4.421e-04, eta: 3:09:21, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 09:24:24,122 - pyskl - INFO - Epoch [138][1000/3405] lr: 4.400e-04, eta: 3:08:54, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8891, loss: 2.8891 2023-12-25 09:24:49,150 - pyskl - INFO - Epoch [138][1100/3405] lr: 4.380e-04, eta: 3:08:28, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8889, loss: 2.8889 2023-12-25 09:25:14,587 - pyskl - INFO - Epoch [138][1200/3405] lr: 4.360e-04, eta: 3:08:02, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8913, loss: 2.8913 2023-12-25 09:25:40,325 - pyskl - INFO - Epoch [138][1300/3405] lr: 4.340e-04, eta: 3:07:35, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8884, loss: 2.8884 2023-12-25 09:26:05,778 - pyskl - INFO - Epoch [138][1400/3405] lr: 4.320e-04, eta: 3:07:09, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8914, loss: 2.8914 2023-12-25 09:26:31,085 - pyskl - INFO - Epoch [138][1500/3405] lr: 4.300e-04, eta: 3:06:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8907, loss: 2.8907 2023-12-25 09:26:56,358 - pyskl - INFO - Epoch [138][1600/3405] lr: 4.280e-04, eta: 3:06:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8892, loss: 2.8892 2023-12-25 09:27:21,779 - pyskl - INFO - Epoch [138][1700/3405] lr: 4.260e-04, eta: 3:05:50, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8909, loss: 2.8909 2023-12-25 09:27:47,290 - pyskl - INFO - Epoch [138][1800/3405] lr: 4.240e-04, eta: 3:05:24, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8885, loss: 2.8885 2023-12-25 09:28:12,696 - pyskl - INFO - Epoch [138][1900/3405] lr: 4.220e-04, eta: 3:04:58, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8905, loss: 2.8905 2023-12-25 09:28:37,946 - pyskl - INFO - Epoch [138][2000/3405] lr: 4.200e-04, eta: 3:04:32, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8882, loss: 2.8882 2023-12-25 09:29:03,296 - pyskl - INFO - Epoch [138][2100/3405] lr: 4.181e-04, eta: 3:04:05, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 2023-12-25 09:29:28,572 - pyskl - INFO - Epoch [138][2200/3405] lr: 4.161e-04, eta: 3:03:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 09:29:54,165 - pyskl - INFO - Epoch [138][2300/3405] lr: 4.141e-04, eta: 3:03:13, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8899, loss: 2.8899 2023-12-25 09:30:19,889 - pyskl - INFO - Epoch [138][2400/3405] lr: 4.122e-04, eta: 3:02:47, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8895, loss: 2.8895 2023-12-25 09:30:45,533 - pyskl - INFO - Epoch [138][2500/3405] lr: 4.102e-04, eta: 3:02:20, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8911, loss: 2.8911 2023-12-25 09:31:11,812 - pyskl - INFO - Epoch [138][2600/3405] lr: 4.083e-04, eta: 3:01:54, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8869, loss: 2.8869 2023-12-25 09:31:37,936 - pyskl - INFO - Epoch [138][2700/3405] lr: 4.063e-04, eta: 3:01:28, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8906, loss: 2.8906 2023-12-25 09:32:04,006 - pyskl - INFO - Epoch [138][2800/3405] lr: 4.044e-04, eta: 3:01:02, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8885, loss: 2.8885 2023-12-25 09:32:29,505 - pyskl - INFO - Epoch [138][2900/3405] lr: 4.024e-04, eta: 3:00:35, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8898, loss: 2.8898 2023-12-25 09:32:54,899 - pyskl - INFO - Epoch [138][3000/3405] lr: 4.005e-04, eta: 3:00:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8910, loss: 2.8910 2023-12-25 09:33:20,647 - pyskl - INFO - Epoch [138][3100/3405] lr: 3.986e-04, eta: 2:59:43, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 09:33:46,017 - pyskl - INFO - Epoch [138][3200/3405] lr: 3.967e-04, eta: 2:59:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8886, loss: 2.8886 2023-12-25 09:34:12,106 - pyskl - INFO - Epoch [138][3300/3405] lr: 3.947e-04, eta: 2:58:50, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8901, loss: 2.8901 2023-12-25 09:34:37,751 - pyskl - INFO - Epoch [138][3400/3405] lr: 3.928e-04, eta: 2:58:24, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8902, loss: 2.8902 2023-12-25 09:34:39,735 - pyskl - INFO - Saving checkpoint at 138 epochs 2023-12-25 09:39:03,773 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 09:39:04,446 - pyskl - INFO - top1_acc 0.8931 top5_acc 0.9776 2023-12-25 09:39:04,451 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_136.pth was removed 2023-12-25 09:39:04,659 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. 2023-12-25 09:39:04,661 - pyskl - INFO - Best top1_acc is 0.8931 at 138 epoch. 2023-12-25 09:39:04,687 - pyskl - INFO - Epoch(val) [138][3718] top1_acc: 0.8931, top5_acc: 0.9776 2023-12-25 09:39:57,937 - pyskl - INFO - Epoch [139][100/3405] lr: 3.908e-04, eta: 2:57:59, time: 0.532, data_time: 0.285, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8882, loss: 2.8882 2023-12-25 09:40:23,040 - pyskl - INFO - Epoch [139][200/3405] lr: 3.889e-04, eta: 2:57:33, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8907, loss: 2.8907 2023-12-25 09:40:48,111 - pyskl - INFO - Epoch [139][300/3405] lr: 3.870e-04, eta: 2:57:06, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8894, loss: 2.8894 2023-12-25 09:41:13,586 - pyskl - INFO - Epoch [139][400/3405] lr: 3.851e-04, eta: 2:56:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8899, loss: 2.8899 2023-12-25 09:41:38,817 - pyskl - INFO - Epoch [139][500/3405] lr: 3.832e-04, eta: 2:56:14, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 09:42:04,158 - pyskl - INFO - Epoch [139][600/3405] lr: 3.813e-04, eta: 2:55:48, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8924, loss: 2.8924 2023-12-25 09:42:29,560 - pyskl - INFO - Epoch [139][700/3405] lr: 3.795e-04, eta: 2:55:21, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 09:42:54,769 - pyskl - INFO - Epoch [139][800/3405] lr: 3.776e-04, eta: 2:54:55, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8891, loss: 2.8891 2023-12-25 09:43:19,861 - pyskl - INFO - Epoch [139][900/3405] lr: 3.757e-04, eta: 2:54:29, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8868, loss: 2.8868 2023-12-25 09:43:45,019 - pyskl - INFO - Epoch [139][1000/3405] lr: 3.738e-04, eta: 2:54:02, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 09:44:10,196 - pyskl - INFO - Epoch [139][1100/3405] lr: 3.720e-04, eta: 2:53:36, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 09:44:35,351 - pyskl - INFO - Epoch [139][1200/3405] lr: 3.701e-04, eta: 2:53:10, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8896, loss: 2.8896 2023-12-25 09:45:00,870 - pyskl - INFO - Epoch [139][1300/3405] lr: 3.683e-04, eta: 2:52:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 09:45:26,307 - pyskl - INFO - Epoch [139][1400/3405] lr: 3.664e-04, eta: 2:52:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8879, loss: 2.8879 2023-12-25 09:45:51,631 - pyskl - INFO - Epoch [139][1500/3405] lr: 3.646e-04, eta: 2:51:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8901, loss: 2.8901 2023-12-25 09:46:16,914 - pyskl - INFO - Epoch [139][1600/3405] lr: 3.627e-04, eta: 2:51:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8925, loss: 2.8925 2023-12-25 09:46:42,434 - pyskl - INFO - Epoch [139][1700/3405] lr: 3.609e-04, eta: 2:50:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8879, loss: 2.8879 2023-12-25 09:47:08,193 - pyskl - INFO - Epoch [139][1800/3405] lr: 3.591e-04, eta: 2:50:32, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8886, loss: 2.8886 2023-12-25 09:47:33,461 - pyskl - INFO - Epoch [139][1900/3405] lr: 3.572e-04, eta: 2:50:06, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 09:47:58,587 - pyskl - INFO - Epoch [139][2000/3405] lr: 3.554e-04, eta: 2:49:40, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8910, loss: 2.8910 2023-12-25 09:48:24,186 - pyskl - INFO - Epoch [139][2100/3405] lr: 3.536e-04, eta: 2:49:13, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8905, loss: 2.8905 2023-12-25 09:48:49,337 - pyskl - INFO - Epoch [139][2200/3405] lr: 3.518e-04, eta: 2:48:47, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8912, loss: 2.8912 2023-12-25 09:49:14,748 - pyskl - INFO - Epoch [139][2300/3405] lr: 3.500e-04, eta: 2:48:21, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8903, loss: 2.8903 2023-12-25 09:49:40,896 - pyskl - INFO - Epoch [139][2400/3405] lr: 3.482e-04, eta: 2:47:55, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 2.8931, loss: 2.8931 2023-12-25 09:50:06,320 - pyskl - INFO - Epoch [139][2500/3405] lr: 3.464e-04, eta: 2:47:28, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8912, loss: 2.8912 2023-12-25 09:50:31,471 - pyskl - INFO - Epoch [139][2600/3405] lr: 3.446e-04, eta: 2:47:02, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8883, loss: 2.8883 2023-12-25 09:50:56,738 - pyskl - INFO - Epoch [139][2700/3405] lr: 3.428e-04, eta: 2:46:36, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 09:51:21,818 - pyskl - INFO - Epoch [139][2800/3405] lr: 3.410e-04, eta: 2:46:10, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 09:51:47,130 - pyskl - INFO - Epoch [139][2900/3405] lr: 3.392e-04, eta: 2:45:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8893, loss: 2.8893 2023-12-25 09:52:12,471 - pyskl - INFO - Epoch [139][3000/3405] lr: 3.374e-04, eta: 2:45:17, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8872, loss: 2.8872 2023-12-25 09:52:37,921 - pyskl - INFO - Epoch [139][3100/3405] lr: 3.357e-04, eta: 2:44:51, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8903, loss: 2.8903 2023-12-25 09:53:03,176 - pyskl - INFO - Epoch [139][3200/3405] lr: 3.339e-04, eta: 2:44:25, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8906, loss: 2.8906 2023-12-25 09:53:28,646 - pyskl - INFO - Epoch [139][3300/3405] lr: 3.321e-04, eta: 2:43:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8899, loss: 2.8899 2023-12-25 09:53:54,396 - pyskl - INFO - Epoch [139][3400/3405] lr: 3.304e-04, eta: 2:43:32, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8907, loss: 2.8907 2023-12-25 09:53:56,329 - pyskl - INFO - Saving checkpoint at 139 epochs 2023-12-25 09:58:20,401 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 09:58:21,046 - pyskl - INFO - top1_acc 0.8935 top5_acc 0.9776 2023-12-25 09:58:21,051 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_138.pth was removed 2023-12-25 09:58:21,263 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. 2023-12-25 09:58:21,264 - pyskl - INFO - Best top1_acc is 0.8935 at 139 epoch. 2023-12-25 09:58:21,294 - pyskl - INFO - Epoch(val) [139][3718] top1_acc: 0.8935, top5_acc: 0.9776 2023-12-25 09:59:16,557 - pyskl - INFO - Epoch [140][100/3405] lr: 3.285e-04, eta: 2:43:07, time: 0.553, data_time: 0.290, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 09:59:42,803 - pyskl - INFO - Epoch [140][200/3405] lr: 3.268e-04, eta: 2:42:41, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 10:00:07,817 - pyskl - INFO - Epoch [140][300/3405] lr: 3.250e-04, eta: 2:42:14, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8885, loss: 2.8885 2023-12-25 10:00:32,699 - pyskl - INFO - Epoch [140][400/3405] lr: 3.233e-04, eta: 2:41:48, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 10:00:57,575 - pyskl - INFO - Epoch [140][500/3405] lr: 3.216e-04, eta: 2:41:22, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8885, loss: 2.8885 2023-12-25 10:01:22,471 - pyskl - INFO - Epoch [140][600/3405] lr: 3.198e-04, eta: 2:40:55, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8884, loss: 2.8884 2023-12-25 10:01:47,401 - pyskl - INFO - Epoch [140][700/3405] lr: 3.181e-04, eta: 2:40:29, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 10:02:12,320 - pyskl - INFO - Epoch [140][800/3405] lr: 3.164e-04, eta: 2:40:03, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8913, loss: 2.8913 2023-12-25 10:02:37,226 - pyskl - INFO - Epoch [140][900/3405] lr: 3.147e-04, eta: 2:39:36, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8894, loss: 2.8894 2023-12-25 10:03:02,242 - pyskl - INFO - Epoch [140][1000/3405] lr: 3.130e-04, eta: 2:39:10, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8863, loss: 2.8863 2023-12-25 10:03:27,449 - pyskl - INFO - Epoch [140][1100/3405] lr: 3.112e-04, eta: 2:38:44, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8890, loss: 2.8890 2023-12-25 10:03:52,647 - pyskl - INFO - Epoch [140][1200/3405] lr: 3.095e-04, eta: 2:38:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8892, loss: 2.8892 2023-12-25 10:04:17,933 - pyskl - INFO - Epoch [140][1300/3405] lr: 3.078e-04, eta: 2:37:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 10:04:43,952 - pyskl - INFO - Epoch [140][1400/3405] lr: 3.062e-04, eta: 2:37:25, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8923, loss: 2.8923 2023-12-25 10:05:09,386 - pyskl - INFO - Epoch [140][1500/3405] lr: 3.045e-04, eta: 2:36:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8883, loss: 2.8883 2023-12-25 10:05:35,330 - pyskl - INFO - Epoch [140][1600/3405] lr: 3.028e-04, eta: 2:36:33, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8908, loss: 2.8908 2023-12-25 10:06:00,771 - pyskl - INFO - Epoch [140][1700/3405] lr: 3.011e-04, eta: 2:36:06, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8910, loss: 2.8910 2023-12-25 10:06:26,076 - pyskl - INFO - Epoch [140][1800/3405] lr: 2.994e-04, eta: 2:35:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8883, loss: 2.8883 2023-12-25 10:06:51,372 - pyskl - INFO - Epoch [140][1900/3405] lr: 2.978e-04, eta: 2:35:14, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8874, loss: 2.8874 2023-12-25 10:07:16,725 - pyskl - INFO - Epoch [140][2000/3405] lr: 2.961e-04, eta: 2:34:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8904, loss: 2.8904 2023-12-25 10:07:42,245 - pyskl - INFO - Epoch [140][2100/3405] lr: 2.944e-04, eta: 2:34:21, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8867, loss: 2.8867 2023-12-25 10:08:07,553 - pyskl - INFO - Epoch [140][2200/3405] lr: 2.928e-04, eta: 2:33:55, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8891, loss: 2.8891 2023-12-25 10:08:33,245 - pyskl - INFO - Epoch [140][2300/3405] lr: 2.911e-04, eta: 2:33:29, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 10:08:59,540 - pyskl - INFO - Epoch [140][2400/3405] lr: 2.895e-04, eta: 2:33:03, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8888, loss: 2.8888 2023-12-25 10:09:24,946 - pyskl - INFO - Epoch [140][2500/3405] lr: 2.878e-04, eta: 2:32:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8882, loss: 2.8882 2023-12-25 10:09:50,073 - pyskl - INFO - Epoch [140][2600/3405] lr: 2.862e-04, eta: 2:32:10, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8868, loss: 2.8868 2023-12-25 10:10:15,890 - pyskl - INFO - Epoch [140][2700/3405] lr: 2.846e-04, eta: 2:31:44, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8886, loss: 2.8886 2023-12-25 10:10:41,071 - pyskl - INFO - Epoch [140][2800/3405] lr: 2.829e-04, eta: 2:31:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8894, loss: 2.8894 2023-12-25 10:11:06,077 - pyskl - INFO - Epoch [140][2900/3405] lr: 2.813e-04, eta: 2:30:51, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8888, loss: 2.8888 2023-12-25 10:11:31,064 - pyskl - INFO - Epoch [140][3000/3405] lr: 2.797e-04, eta: 2:30:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8889, loss: 2.8889 2023-12-25 10:11:56,059 - pyskl - INFO - Epoch [140][3100/3405] lr: 2.781e-04, eta: 2:29:59, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 10:12:21,479 - pyskl - INFO - Epoch [140][3200/3405] lr: 2.765e-04, eta: 2:29:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8895, loss: 2.8895 2023-12-25 10:12:47,084 - pyskl - INFO - Epoch [140][3300/3405] lr: 2.749e-04, eta: 2:29:06, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8917, loss: 2.8917 2023-12-25 10:13:13,136 - pyskl - INFO - Epoch [140][3400/3405] lr: 2.733e-04, eta: 2:28:40, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8901, loss: 2.8901 2023-12-25 10:13:15,338 - pyskl - INFO - Saving checkpoint at 140 epochs 2023-12-25 10:17:39,656 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 10:17:40,304 - pyskl - INFO - top1_acc 0.8933 top5_acc 0.9775 2023-12-25 10:17:40,329 - pyskl - INFO - Epoch(val) [140][3718] top1_acc: 0.8933, top5_acc: 0.9775 2023-12-25 10:18:34,844 - pyskl - INFO - Epoch [141][100/3405] lr: 2.716e-04, eta: 2:28:15, time: 0.545, data_time: 0.293, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 2023-12-25 10:19:00,081 - pyskl - INFO - Epoch [141][200/3405] lr: 2.700e-04, eta: 2:27:48, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 10:19:24,921 - pyskl - INFO - Epoch [141][300/3405] lr: 2.684e-04, eta: 2:27:22, time: 0.248, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 10:19:49,917 - pyskl - INFO - Epoch [141][400/3405] lr: 2.668e-04, eta: 2:26:56, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 10:20:15,401 - pyskl - INFO - Epoch [141][500/3405] lr: 2.652e-04, eta: 2:26:29, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8889, loss: 2.8889 2023-12-25 10:20:41,575 - pyskl - INFO - Epoch [141][600/3405] lr: 2.637e-04, eta: 2:26:03, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8890, loss: 2.8890 2023-12-25 10:21:06,998 - pyskl - INFO - Epoch [141][700/3405] lr: 2.621e-04, eta: 2:25:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8892, loss: 2.8892 2023-12-25 10:21:32,170 - pyskl - INFO - Epoch [141][800/3405] lr: 2.605e-04, eta: 2:25:11, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 10:21:57,684 - pyskl - INFO - Epoch [141][900/3405] lr: 2.590e-04, eta: 2:24:44, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8874, loss: 2.8874 2023-12-25 10:22:22,752 - pyskl - INFO - Epoch [141][1000/3405] lr: 2.574e-04, eta: 2:24:18, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 10:22:48,971 - pyskl - INFO - Epoch [141][1100/3405] lr: 2.559e-04, eta: 2:23:52, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 10:23:14,374 - pyskl - INFO - Epoch [141][1200/3405] lr: 2.543e-04, eta: 2:23:26, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8892, loss: 2.8892 2023-12-25 10:23:39,552 - pyskl - INFO - Epoch [141][1300/3405] lr: 2.528e-04, eta: 2:22:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8901, loss: 2.8901 2023-12-25 10:24:05,687 - pyskl - INFO - Epoch [141][1400/3405] lr: 2.512e-04, eta: 2:22:33, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8874, loss: 2.8874 2023-12-25 10:24:31,239 - pyskl - INFO - Epoch [141][1500/3405] lr: 2.497e-04, eta: 2:22:07, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 10:24:56,426 - pyskl - INFO - Epoch [141][1600/3405] lr: 2.482e-04, eta: 2:21:41, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 10:25:21,524 - pyskl - INFO - Epoch [141][1700/3405] lr: 2.467e-04, eta: 2:21:15, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8890, loss: 2.8890 2023-12-25 10:25:46,483 - pyskl - INFO - Epoch [141][1800/3405] lr: 2.451e-04, eta: 2:20:48, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8890, loss: 2.8890 2023-12-25 10:26:11,710 - pyskl - INFO - Epoch [141][1900/3405] lr: 2.436e-04, eta: 2:20:22, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8898, loss: 2.8898 2023-12-25 10:26:37,155 - pyskl - INFO - Epoch [141][2000/3405] lr: 2.421e-04, eta: 2:19:56, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8895, loss: 2.8895 2023-12-25 10:27:02,765 - pyskl - INFO - Epoch [141][2100/3405] lr: 2.406e-04, eta: 2:19:29, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8891, loss: 2.8891 2023-12-25 10:27:28,964 - pyskl - INFO - Epoch [141][2200/3405] lr: 2.391e-04, eta: 2:19:03, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8896, loss: 2.8896 2023-12-25 10:27:54,158 - pyskl - INFO - Epoch [141][2300/3405] lr: 2.376e-04, eta: 2:18:37, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8884, loss: 2.8884 2023-12-25 10:28:19,954 - pyskl - INFO - Epoch [141][2400/3405] lr: 2.361e-04, eta: 2:18:11, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8894, loss: 2.8894 2023-12-25 10:28:45,964 - pyskl - INFO - Epoch [141][2500/3405] lr: 2.347e-04, eta: 2:17:45, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8890, loss: 2.8890 2023-12-25 10:29:10,981 - pyskl - INFO - Epoch [141][2600/3405] lr: 2.332e-04, eta: 2:17:18, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8874, loss: 2.8874 2023-12-25 10:29:35,924 - pyskl - INFO - Epoch [141][2700/3405] lr: 2.317e-04, eta: 2:16:52, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8912, loss: 2.8912 2023-12-25 10:30:00,971 - pyskl - INFO - Epoch [141][2800/3405] lr: 2.302e-04, eta: 2:16:26, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 10:30:26,558 - pyskl - INFO - Epoch [141][2900/3405] lr: 2.288e-04, eta: 2:16:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8927, loss: 2.8927 2023-12-25 10:30:52,070 - pyskl - INFO - Epoch [141][3000/3405] lr: 2.273e-04, eta: 2:15:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8884, loss: 2.8884 2023-12-25 10:31:17,420 - pyskl - INFO - Epoch [141][3100/3405] lr: 2.258e-04, eta: 2:15:07, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8902, loss: 2.8902 2023-12-25 10:31:42,782 - pyskl - INFO - Epoch [141][3200/3405] lr: 2.244e-04, eta: 2:14:41, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8901, loss: 2.8901 2023-12-25 10:32:08,300 - pyskl - INFO - Epoch [141][3300/3405] lr: 2.229e-04, eta: 2:14:15, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8902, loss: 2.8902 2023-12-25 10:32:34,407 - pyskl - INFO - Epoch [141][3400/3405] lr: 2.215e-04, eta: 2:13:48, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8909, loss: 2.8909 2023-12-25 10:32:36,543 - pyskl - INFO - Saving checkpoint at 141 epochs 2023-12-25 10:37:01,802 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 10:37:02,502 - pyskl - INFO - top1_acc 0.8938 top5_acc 0.9778 2023-12-25 10:37:02,507 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_139.pth was removed 2023-12-25 10:37:02,716 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. 2023-12-25 10:37:02,717 - pyskl - INFO - Best top1_acc is 0.8938 at 141 epoch. 2023-12-25 10:37:02,742 - pyskl - INFO - Epoch(val) [141][3718] top1_acc: 0.8938, top5_acc: 0.9778 2023-12-25 10:37:57,056 - pyskl - INFO - Epoch [142][100/3405] lr: 2.200e-04, eta: 2:13:23, time: 0.543, data_time: 0.291, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8890, loss: 2.8890 2023-12-25 10:38:22,314 - pyskl - INFO - Epoch [142][200/3405] lr: 2.186e-04, eta: 2:12:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8892, loss: 2.8892 2023-12-25 10:38:47,598 - pyskl - INFO - Epoch [142][300/3405] lr: 2.171e-04, eta: 2:12:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 10:39:12,939 - pyskl - INFO - Epoch [142][400/3405] lr: 2.157e-04, eta: 2:12:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8869, loss: 2.8869 2023-12-25 10:39:38,158 - pyskl - INFO - Epoch [142][500/3405] lr: 2.143e-04, eta: 2:11:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8883, loss: 2.8883 2023-12-25 10:40:03,296 - pyskl - INFO - Epoch [142][600/3405] lr: 2.129e-04, eta: 2:11:11, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8874, loss: 2.8874 2023-12-25 10:40:28,489 - pyskl - INFO - Epoch [142][700/3405] lr: 2.115e-04, eta: 2:10:45, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 2023-12-25 10:40:53,765 - pyskl - INFO - Epoch [142][800/3405] lr: 2.100e-04, eta: 2:10:19, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8883, loss: 2.8883 2023-12-25 10:41:18,883 - pyskl - INFO - Epoch [142][900/3405] lr: 2.086e-04, eta: 2:09:52, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 10:41:43,965 - pyskl - INFO - Epoch [142][1000/3405] lr: 2.072e-04, eta: 2:09:26, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 2023-12-25 10:42:09,068 - pyskl - INFO - Epoch [142][1100/3405] lr: 2.059e-04, eta: 2:09:00, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8879, loss: 2.8879 2023-12-25 10:42:34,265 - pyskl - INFO - Epoch [142][1200/3405] lr: 2.045e-04, eta: 2:08:34, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 10:42:59,800 - pyskl - INFO - Epoch [142][1300/3405] lr: 2.031e-04, eta: 2:08:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 2023-12-25 10:43:25,486 - pyskl - INFO - Epoch [142][1400/3405] lr: 2.017e-04, eta: 2:07:41, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8875, loss: 2.8875 2023-12-25 10:43:50,945 - pyskl - INFO - Epoch [142][1500/3405] lr: 2.003e-04, eta: 2:07:15, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8884, loss: 2.8884 2023-12-25 10:44:16,324 - pyskl - INFO - Epoch [142][1600/3405] lr: 1.990e-04, eta: 2:06:49, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8886, loss: 2.8886 2023-12-25 10:44:42,411 - pyskl - INFO - Epoch [142][1700/3405] lr: 1.976e-04, eta: 2:06:23, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8877, loss: 2.8877 2023-12-25 10:45:07,742 - pyskl - INFO - Epoch [142][1800/3405] lr: 1.962e-04, eta: 2:05:56, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8882, loss: 2.8882 2023-12-25 10:45:33,013 - pyskl - INFO - Epoch [142][1900/3405] lr: 1.949e-04, eta: 2:05:30, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8909, loss: 2.8909 2023-12-25 10:45:59,460 - pyskl - INFO - Epoch [142][2000/3405] lr: 1.935e-04, eta: 2:05:04, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8911, loss: 2.8911 2023-12-25 10:46:24,738 - pyskl - INFO - Epoch [142][2100/3405] lr: 1.922e-04, eta: 2:04:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8865, loss: 2.8865 2023-12-25 10:46:50,124 - pyskl - INFO - Epoch [142][2200/3405] lr: 1.909e-04, eta: 2:04:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8889, loss: 2.8889 2023-12-25 10:47:15,244 - pyskl - INFO - Epoch [142][2300/3405] lr: 1.895e-04, eta: 2:03:45, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 10:47:41,191 - pyskl - INFO - Epoch [142][2400/3405] lr: 1.882e-04, eta: 2:03:19, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 10:48:07,037 - pyskl - INFO - Epoch [142][2500/3405] lr: 1.869e-04, eta: 2:02:53, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8891, loss: 2.8891 2023-12-25 10:48:32,542 - pyskl - INFO - Epoch [142][2600/3405] lr: 1.855e-04, eta: 2:02:26, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8899, loss: 2.8899 2023-12-25 10:48:58,410 - pyskl - INFO - Epoch [142][2700/3405] lr: 1.842e-04, eta: 2:02:00, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 10:49:24,096 - pyskl - INFO - Epoch [142][2800/3405] lr: 1.829e-04, eta: 2:01:34, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8872, loss: 2.8872 2023-12-25 10:49:49,361 - pyskl - INFO - Epoch [142][2900/3405] lr: 1.816e-04, eta: 2:01:08, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8892, loss: 2.8892 2023-12-25 10:50:14,880 - pyskl - INFO - Epoch [142][3000/3405] lr: 1.803e-04, eta: 2:00:41, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8885, loss: 2.8885 2023-12-25 10:50:40,602 - pyskl - INFO - Epoch [142][3100/3405] lr: 1.790e-04, eta: 2:00:15, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8867, loss: 2.8867 2023-12-25 10:51:06,412 - pyskl - INFO - Epoch [142][3200/3405] lr: 1.777e-04, eta: 1:59:49, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8868, loss: 2.8868 2023-12-25 10:51:31,840 - pyskl - INFO - Epoch [142][3300/3405] lr: 1.764e-04, eta: 1:59:23, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8863, loss: 2.8863 2023-12-25 10:51:57,941 - pyskl - INFO - Epoch [142][3400/3405] lr: 1.751e-04, eta: 1:58:57, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8879, loss: 2.8879 2023-12-25 10:52:00,032 - pyskl - INFO - Saving checkpoint at 142 epochs 2023-12-25 10:56:24,790 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 10:56:25,438 - pyskl - INFO - top1_acc 0.8947 top5_acc 0.9780 2023-12-25 10:56:25,443 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_141.pth was removed 2023-12-25 10:56:25,651 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. 2023-12-25 10:56:25,653 - pyskl - INFO - Best top1_acc is 0.8947 at 142 epoch. 2023-12-25 10:56:25,678 - pyskl - INFO - Epoch(val) [142][3718] top1_acc: 0.8947, top5_acc: 0.9780 2023-12-25 10:57:20,307 - pyskl - INFO - Epoch [143][100/3405] lr: 1.738e-04, eta: 1:58:31, time: 0.546, data_time: 0.293, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8874, loss: 2.8874 2023-12-25 10:57:45,498 - pyskl - INFO - Epoch [143][200/3405] lr: 1.725e-04, eta: 1:58:04, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 10:58:10,653 - pyskl - INFO - Epoch [143][300/3405] lr: 1.712e-04, eta: 1:57:38, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8869, loss: 2.8869 2023-12-25 10:58:35,972 - pyskl - INFO - Epoch [143][400/3405] lr: 1.700e-04, eta: 1:57:12, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 2.8895, loss: 2.8895 2023-12-25 10:59:01,097 - pyskl - INFO - Epoch [143][500/3405] lr: 1.687e-04, eta: 1:56:46, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8906, loss: 2.8906 2023-12-25 10:59:26,577 - pyskl - INFO - Epoch [143][600/3405] lr: 1.675e-04, eta: 1:56:19, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 10:59:51,942 - pyskl - INFO - Epoch [143][700/3405] lr: 1.662e-04, eta: 1:55:53, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8888, loss: 2.8888 2023-12-25 11:00:17,029 - pyskl - INFO - Epoch [143][800/3405] lr: 1.650e-04, eta: 1:55:27, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8864, loss: 2.8864 2023-12-25 11:00:42,004 - pyskl - INFO - Epoch [143][900/3405] lr: 1.637e-04, eta: 1:55:01, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8874, loss: 2.8874 2023-12-25 11:01:06,969 - pyskl - INFO - Epoch [143][1000/3405] lr: 1.625e-04, eta: 1:54:34, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 11:01:31,946 - pyskl - INFO - Epoch [143][1100/3405] lr: 1.612e-04, eta: 1:54:08, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8855, loss: 2.8855 2023-12-25 11:01:56,982 - pyskl - INFO - Epoch [143][1200/3405] lr: 1.600e-04, eta: 1:53:42, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8899, loss: 2.8899 2023-12-25 11:02:22,620 - pyskl - INFO - Epoch [143][1300/3405] lr: 1.588e-04, eta: 1:53:16, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 11:02:48,855 - pyskl - INFO - Epoch [143][1400/3405] lr: 1.576e-04, eta: 1:52:49, time: 0.262, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8879, loss: 2.8879 2023-12-25 11:03:15,127 - pyskl - INFO - Epoch [143][1500/3405] lr: 1.564e-04, eta: 1:52:23, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8895, loss: 2.8895 2023-12-25 11:03:41,179 - pyskl - INFO - Epoch [143][1600/3405] lr: 1.551e-04, eta: 1:51:57, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8872, loss: 2.8872 2023-12-25 11:04:06,959 - pyskl - INFO - Epoch [143][1700/3405] lr: 1.539e-04, eta: 1:51:31, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8853, loss: 2.8853 2023-12-25 11:04:32,280 - pyskl - INFO - Epoch [143][1800/3405] lr: 1.527e-04, eta: 1:51:04, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 11:04:57,676 - pyskl - INFO - Epoch [143][1900/3405] lr: 1.515e-04, eta: 1:50:38, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8858, loss: 2.8858 2023-12-25 11:05:23,279 - pyskl - INFO - Epoch [143][2000/3405] lr: 1.504e-04, eta: 1:50:12, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8906, loss: 2.8906 2023-12-25 11:05:48,921 - pyskl - INFO - Epoch [143][2100/3405] lr: 1.492e-04, eta: 1:49:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8896, loss: 2.8896 2023-12-25 11:06:14,304 - pyskl - INFO - Epoch [143][2200/3405] lr: 1.480e-04, eta: 1:49:20, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8882, loss: 2.8882 2023-12-25 11:06:39,531 - pyskl - INFO - Epoch [143][2300/3405] lr: 1.468e-04, eta: 1:48:53, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8868, loss: 2.8868 2023-12-25 11:07:05,897 - pyskl - INFO - Epoch [143][2400/3405] lr: 1.456e-04, eta: 1:48:27, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 11:07:31,995 - pyskl - INFO - Epoch [143][2500/3405] lr: 1.445e-04, eta: 1:48:01, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8889, loss: 2.8889 2023-12-25 11:07:57,286 - pyskl - INFO - Epoch [143][2600/3405] lr: 1.433e-04, eta: 1:47:35, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8888, loss: 2.8888 2023-12-25 11:08:22,710 - pyskl - INFO - Epoch [143][2700/3405] lr: 1.421e-04, eta: 1:47:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8875, loss: 2.8875 2023-12-25 11:08:48,075 - pyskl - INFO - Epoch [143][2800/3405] lr: 1.410e-04, eta: 1:46:42, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 2023-12-25 11:09:13,334 - pyskl - INFO - Epoch [143][2900/3405] lr: 1.398e-04, eta: 1:46:16, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8879, loss: 2.8879 2023-12-25 11:09:38,319 - pyskl - INFO - Epoch [143][3000/3405] lr: 1.387e-04, eta: 1:45:50, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8888, loss: 2.8888 2023-12-25 11:10:03,321 - pyskl - INFO - Epoch [143][3100/3405] lr: 1.376e-04, eta: 1:45:23, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8858, loss: 2.8858 2023-12-25 11:10:28,304 - pyskl - INFO - Epoch [143][3200/3405] lr: 1.364e-04, eta: 1:44:57, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 2023-12-25 11:10:53,315 - pyskl - INFO - Epoch [143][3300/3405] lr: 1.353e-04, eta: 1:44:31, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8888, loss: 2.8888 2023-12-25 11:11:18,810 - pyskl - INFO - Epoch [143][3400/3405] lr: 1.342e-04, eta: 1:44:05, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8875, loss: 2.8875 2023-12-25 11:11:20,911 - pyskl - INFO - Saving checkpoint at 143 epochs 2023-12-25 11:15:45,569 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 11:15:46,221 - pyskl - INFO - top1_acc 0.8955 top5_acc 0.9782 2023-12-25 11:15:46,226 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_142.pth was removed 2023-12-25 11:15:46,431 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_143.pth. 2023-12-25 11:15:46,433 - pyskl - INFO - Best top1_acc is 0.8955 at 143 epoch. 2023-12-25 11:15:46,458 - pyskl - INFO - Epoch(val) [143][3718] top1_acc: 0.8955, top5_acc: 0.9782 2023-12-25 11:16:40,048 - pyskl - INFO - Epoch [144][100/3405] lr: 1.330e-04, eta: 1:43:38, time: 0.536, data_time: 0.284, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8914, loss: 2.8914 2023-12-25 11:17:05,934 - pyskl - INFO - Epoch [144][200/3405] lr: 1.319e-04, eta: 1:43:12, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8879, loss: 2.8879 2023-12-25 11:17:31,984 - pyskl - INFO - Epoch [144][300/3405] lr: 1.308e-04, eta: 1:42:46, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8877, loss: 2.8877 2023-12-25 11:17:57,032 - pyskl - INFO - Epoch [144][400/3405] lr: 1.297e-04, eta: 1:42:20, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8889, loss: 2.8889 2023-12-25 11:18:22,121 - pyskl - INFO - Epoch [144][500/3405] lr: 1.285e-04, eta: 1:41:53, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8862, loss: 2.8862 2023-12-25 11:18:47,519 - pyskl - INFO - Epoch [144][600/3405] lr: 1.275e-04, eta: 1:41:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8869, loss: 2.8869 2023-12-25 11:19:12,873 - pyskl - INFO - Epoch [144][700/3405] lr: 1.264e-04, eta: 1:41:01, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 11:19:38,113 - pyskl - INFO - Epoch [144][800/3405] lr: 1.253e-04, eta: 1:40:35, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 11:20:03,500 - pyskl - INFO - Epoch [144][900/3405] lr: 1.242e-04, eta: 1:40:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8894, loss: 2.8894 2023-12-25 11:20:29,087 - pyskl - INFO - Epoch [144][1000/3405] lr: 1.231e-04, eta: 1:39:42, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8884, loss: 2.8884 2023-12-25 11:20:54,918 - pyskl - INFO - Epoch [144][1100/3405] lr: 1.220e-04, eta: 1:39:16, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8871, loss: 2.8871 2023-12-25 11:21:20,191 - pyskl - INFO - Epoch [144][1200/3405] lr: 1.210e-04, eta: 1:38:50, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8891, loss: 2.8891 2023-12-25 11:21:45,972 - pyskl - INFO - Epoch [144][1300/3405] lr: 1.199e-04, eta: 1:38:24, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 11:22:11,333 - pyskl - INFO - Epoch [144][1400/3405] lr: 1.188e-04, eta: 1:37:57, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8867, loss: 2.8867 2023-12-25 11:22:37,189 - pyskl - INFO - Epoch [144][1500/3405] lr: 1.178e-04, eta: 1:37:31, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 11:23:02,570 - pyskl - INFO - Epoch [144][1600/3405] lr: 1.167e-04, eta: 1:37:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 11:23:27,823 - pyskl - INFO - Epoch [144][1700/3405] lr: 1.157e-04, eta: 1:36:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8879, loss: 2.8879 2023-12-25 11:23:53,385 - pyskl - INFO - Epoch [144][1800/3405] lr: 1.146e-04, eta: 1:36:12, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8886, loss: 2.8886 2023-12-25 11:24:18,758 - pyskl - INFO - Epoch [144][1900/3405] lr: 1.136e-04, eta: 1:35:46, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8865, loss: 2.8865 2023-12-25 11:24:44,215 - pyskl - INFO - Epoch [144][2000/3405] lr: 1.126e-04, eta: 1:35:20, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 11:25:09,834 - pyskl - INFO - Epoch [144][2100/3405] lr: 1.116e-04, eta: 1:34:54, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8889, loss: 2.8889 2023-12-25 11:25:36,321 - pyskl - INFO - Epoch [144][2200/3405] lr: 1.105e-04, eta: 1:34:28, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 11:26:02,788 - pyskl - INFO - Epoch [144][2300/3405] lr: 1.095e-04, eta: 1:34:01, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 11:26:29,348 - pyskl - INFO - Epoch [144][2400/3405] lr: 1.085e-04, eta: 1:33:35, time: 0.266, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8882, loss: 2.8882 2023-12-25 11:26:55,813 - pyskl - INFO - Epoch [144][2500/3405] lr: 1.075e-04, eta: 1:33:09, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8890, loss: 2.8890 2023-12-25 11:27:22,066 - pyskl - INFO - Epoch [144][2600/3405] lr: 1.065e-04, eta: 1:32:43, time: 0.263, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8864, loss: 2.8864 2023-12-25 11:27:47,894 - pyskl - INFO - Epoch [144][2700/3405] lr: 1.055e-04, eta: 1:32:17, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8871, loss: 2.8871 2023-12-25 11:28:13,423 - pyskl - INFO - Epoch [144][2800/3405] lr: 1.045e-04, eta: 1:31:50, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8886, loss: 2.8886 2023-12-25 11:28:38,732 - pyskl - INFO - Epoch [144][2900/3405] lr: 1.035e-04, eta: 1:31:24, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8913, loss: 2.8913 2023-12-25 11:29:04,343 - pyskl - INFO - Epoch [144][3000/3405] lr: 1.025e-04, eta: 1:30:58, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8868, loss: 2.8868 2023-12-25 11:29:29,953 - pyskl - INFO - Epoch [144][3100/3405] lr: 1.015e-04, eta: 1:30:32, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8871, loss: 2.8871 2023-12-25 11:29:55,309 - pyskl - INFO - Epoch [144][3200/3405] lr: 1.006e-04, eta: 1:30:05, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 11:30:20,624 - pyskl - INFO - Epoch [144][3300/3405] lr: 9.959e-05, eta: 1:29:39, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8889, loss: 2.8889 2023-12-25 11:30:46,017 - pyskl - INFO - Epoch [144][3400/3405] lr: 9.862e-05, eta: 1:29:13, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 11:30:48,020 - pyskl - INFO - Saving checkpoint at 144 epochs 2023-12-25 11:35:11,582 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 11:35:12,190 - pyskl - INFO - top1_acc 0.8955 top5_acc 0.9782 2023-12-25 11:35:12,195 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_143.pth was removed 2023-12-25 11:35:12,401 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. 2023-12-25 11:35:12,402 - pyskl - INFO - Best top1_acc is 0.8955 at 144 epoch. 2023-12-25 11:35:12,428 - pyskl - INFO - Epoch(val) [144][3718] top1_acc: 0.8955, top5_acc: 0.9782 2023-12-25 11:36:04,419 - pyskl - INFO - Epoch [145][100/3405] lr: 9.761e-05, eta: 1:28:47, time: 0.520, data_time: 0.268, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 11:36:29,184 - pyskl - INFO - Epoch [145][200/3405] lr: 9.666e-05, eta: 1:28:20, time: 0.248, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 11:36:53,994 - pyskl - INFO - Epoch [145][300/3405] lr: 9.571e-05, eta: 1:27:54, time: 0.248, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8892, loss: 2.8892 2023-12-25 11:37:18,861 - pyskl - INFO - Epoch [145][400/3405] lr: 9.476e-05, eta: 1:27:28, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 11:37:43,734 - pyskl - INFO - Epoch [145][500/3405] lr: 9.382e-05, eta: 1:27:01, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 11:38:08,620 - pyskl - INFO - Epoch [145][600/3405] lr: 9.288e-05, eta: 1:26:35, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8902, loss: 2.8902 2023-12-25 11:38:33,517 - pyskl - INFO - Epoch [145][700/3405] lr: 9.194e-05, eta: 1:26:09, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8891, loss: 2.8891 2023-12-25 11:38:58,435 - pyskl - INFO - Epoch [145][800/3405] lr: 9.102e-05, eta: 1:25:43, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 11:39:23,312 - pyskl - INFO - Epoch [145][900/3405] lr: 9.009e-05, eta: 1:25:16, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8894, loss: 2.8894 2023-12-25 11:39:48,219 - pyskl - INFO - Epoch [145][1000/3405] lr: 8.917e-05, eta: 1:24:50, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 11:40:13,123 - pyskl - INFO - Epoch [145][1100/3405] lr: 8.826e-05, eta: 1:24:24, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8884, loss: 2.8884 2023-12-25 11:40:38,005 - pyskl - INFO - Epoch [145][1200/3405] lr: 8.735e-05, eta: 1:23:58, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8886, loss: 2.8886 2023-12-25 11:41:02,893 - pyskl - INFO - Epoch [145][1300/3405] lr: 8.644e-05, eta: 1:23:31, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8875, loss: 2.8875 2023-12-25 11:41:27,793 - pyskl - INFO - Epoch [145][1400/3405] lr: 8.554e-05, eta: 1:23:05, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 11:41:53,176 - pyskl - INFO - Epoch [145][1500/3405] lr: 8.465e-05, eta: 1:22:39, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8871, loss: 2.8871 2023-12-25 11:42:18,773 - pyskl - INFO - Epoch [145][1600/3405] lr: 8.376e-05, eta: 1:22:13, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 11:42:44,080 - pyskl - INFO - Epoch [145][1700/3405] lr: 8.287e-05, eta: 1:21:47, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 11:43:09,312 - pyskl - INFO - Epoch [145][1800/3405] lr: 8.199e-05, eta: 1:21:20, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8859, loss: 2.8859 2023-12-25 11:43:34,264 - pyskl - INFO - Epoch [145][1900/3405] lr: 8.111e-05, eta: 1:20:54, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8861, loss: 2.8861 2023-12-25 11:43:59,214 - pyskl - INFO - Epoch [145][2000/3405] lr: 8.024e-05, eta: 1:20:28, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8862, loss: 2.8862 2023-12-25 11:44:24,187 - pyskl - INFO - Epoch [145][2100/3405] lr: 7.937e-05, eta: 1:20:02, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8872, loss: 2.8872 2023-12-25 11:44:49,369 - pyskl - INFO - Epoch [145][2200/3405] lr: 7.851e-05, eta: 1:19:35, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8860, loss: 2.8860 2023-12-25 11:45:14,801 - pyskl - INFO - Epoch [145][2300/3405] lr: 7.765e-05, eta: 1:19:09, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8910, loss: 2.8910 2023-12-25 11:45:40,411 - pyskl - INFO - Epoch [145][2400/3405] lr: 7.680e-05, eta: 1:18:43, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8885, loss: 2.8885 2023-12-25 11:46:05,885 - pyskl - INFO - Epoch [145][2500/3405] lr: 7.595e-05, eta: 1:18:17, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8856, loss: 2.8856 2023-12-25 11:46:31,470 - pyskl - INFO - Epoch [145][2600/3405] lr: 7.511e-05, eta: 1:17:50, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 11:46:56,852 - pyskl - INFO - Epoch [145][2700/3405] lr: 7.427e-05, eta: 1:17:24, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 11:47:22,152 - pyskl - INFO - Epoch [145][2800/3405] lr: 7.343e-05, eta: 1:16:58, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8871, loss: 2.8871 2023-12-25 11:47:47,535 - pyskl - INFO - Epoch [145][2900/3405] lr: 7.260e-05, eta: 1:16:32, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8875, loss: 2.8875 2023-12-25 11:48:13,098 - pyskl - INFO - Epoch [145][3000/3405] lr: 7.178e-05, eta: 1:16:06, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 11:48:38,736 - pyskl - INFO - Epoch [145][3100/3405] lr: 7.096e-05, eta: 1:15:39, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 11:49:03,968 - pyskl - INFO - Epoch [145][3200/3405] lr: 7.014e-05, eta: 1:15:13, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8883, loss: 2.8883 2023-12-25 11:49:29,392 - pyskl - INFO - Epoch [145][3300/3405] lr: 6.933e-05, eta: 1:14:47, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 11:49:54,647 - pyskl - INFO - Epoch [145][3400/3405] lr: 6.852e-05, eta: 1:14:21, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 11:49:56,547 - pyskl - INFO - Saving checkpoint at 145 epochs 2023-12-25 11:54:19,987 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 11:54:20,628 - pyskl - INFO - top1_acc 0.8940 top5_acc 0.9774 2023-12-25 11:54:20,653 - pyskl - INFO - Epoch(val) [145][3718] top1_acc: 0.8940, top5_acc: 0.9774 2023-12-25 11:55:13,100 - pyskl - INFO - Epoch [146][100/3405] lr: 6.768e-05, eta: 1:13:54, time: 0.524, data_time: 0.270, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 11:55:38,607 - pyskl - INFO - Epoch [146][200/3405] lr: 6.689e-05, eta: 1:13:28, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8864, loss: 2.8864 2023-12-25 11:56:03,771 - pyskl - INFO - Epoch [146][300/3405] lr: 6.609e-05, eta: 1:13:02, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8877, loss: 2.8877 2023-12-25 11:56:29,807 - pyskl - INFO - Epoch [146][400/3405] lr: 6.531e-05, eta: 1:12:35, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8895, loss: 2.8895 2023-12-25 11:56:55,531 - pyskl - INFO - Epoch [146][500/3405] lr: 6.452e-05, eta: 1:12:09, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 11:57:20,797 - pyskl - INFO - Epoch [146][600/3405] lr: 6.375e-05, eta: 1:11:43, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 2023-12-25 11:57:46,042 - pyskl - INFO - Epoch [146][700/3405] lr: 6.297e-05, eta: 1:11:17, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8875, loss: 2.8875 2023-12-25 11:58:11,287 - pyskl - INFO - Epoch [146][800/3405] lr: 6.221e-05, eta: 1:10:50, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 11:58:36,815 - pyskl - INFO - Epoch [146][900/3405] lr: 6.144e-05, eta: 1:10:24, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8882, loss: 2.8882 2023-12-25 11:59:02,030 - pyskl - INFO - Epoch [146][1000/3405] lr: 6.068e-05, eta: 1:09:58, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8895, loss: 2.8895 2023-12-25 11:59:27,368 - pyskl - INFO - Epoch [146][1100/3405] lr: 5.993e-05, eta: 1:09:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8875, loss: 2.8875 2023-12-25 11:59:52,506 - pyskl - INFO - Epoch [146][1200/3405] lr: 5.918e-05, eta: 1:09:05, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8864, loss: 2.8864 2023-12-25 12:00:17,671 - pyskl - INFO - Epoch [146][1300/3405] lr: 5.843e-05, eta: 1:08:39, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8868, loss: 2.8868 2023-12-25 12:00:42,750 - pyskl - INFO - Epoch [146][1400/3405] lr: 5.769e-05, eta: 1:08:13, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 12:01:08,434 - pyskl - INFO - Epoch [146][1500/3405] lr: 5.696e-05, eta: 1:07:47, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8889, loss: 2.8889 2023-12-25 12:01:33,987 - pyskl - INFO - Epoch [146][1600/3405] lr: 5.623e-05, eta: 1:07:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8890, loss: 2.8890 2023-12-25 12:01:59,456 - pyskl - INFO - Epoch [146][1700/3405] lr: 5.550e-05, eta: 1:06:54, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8865, loss: 2.8865 2023-12-25 12:02:24,754 - pyskl - INFO - Epoch [146][1800/3405] lr: 5.478e-05, eta: 1:06:28, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 12:02:50,448 - pyskl - INFO - Epoch [146][1900/3405] lr: 5.406e-05, eta: 1:06:02, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8845, loss: 2.8845 2023-12-25 12:03:15,876 - pyskl - INFO - Epoch [146][2000/3405] lr: 5.335e-05, eta: 1:05:36, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 12:03:41,187 - pyskl - INFO - Epoch [146][2100/3405] lr: 5.264e-05, eta: 1:05:09, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 12:04:06,574 - pyskl - INFO - Epoch [146][2200/3405] lr: 5.194e-05, eta: 1:04:43, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8875, loss: 2.8875 2023-12-25 12:04:31,989 - pyskl - INFO - Epoch [146][2300/3405] lr: 5.124e-05, eta: 1:04:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 12:04:57,318 - pyskl - INFO - Epoch [146][2400/3405] lr: 5.055e-05, eta: 1:03:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8856, loss: 2.8856 2023-12-25 12:05:23,435 - pyskl - INFO - Epoch [146][2500/3405] lr: 4.986e-05, eta: 1:03:25, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 12:05:48,938 - pyskl - INFO - Epoch [146][2600/3405] lr: 4.918e-05, eta: 1:02:58, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8864, loss: 2.8864 2023-12-25 12:06:14,976 - pyskl - INFO - Epoch [146][2700/3405] lr: 4.850e-05, eta: 1:02:32, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8890, loss: 2.8890 2023-12-25 12:06:40,486 - pyskl - INFO - Epoch [146][2800/3405] lr: 4.782e-05, eta: 1:02:06, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 12:07:05,973 - pyskl - INFO - Epoch [146][2900/3405] lr: 4.716e-05, eta: 1:01:40, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8885, loss: 2.8885 2023-12-25 12:07:31,326 - pyskl - INFO - Epoch [146][3000/3405] lr: 4.649e-05, eta: 1:01:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8867, loss: 2.8867 2023-12-25 12:07:57,682 - pyskl - INFO - Epoch [146][3100/3405] lr: 4.583e-05, eta: 1:00:47, time: 0.264, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8882, loss: 2.8882 2023-12-25 12:08:23,274 - pyskl - INFO - Epoch [146][3200/3405] lr: 4.517e-05, eta: 1:00:21, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 12:08:49,253 - pyskl - INFO - Epoch [146][3300/3405] lr: 4.452e-05, eta: 0:59:55, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8877, loss: 2.8877 2023-12-25 12:09:14,813 - pyskl - INFO - Epoch [146][3400/3405] lr: 4.388e-05, eta: 0:59:29, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8855, loss: 2.8855 2023-12-25 12:09:16,783 - pyskl - INFO - Saving checkpoint at 146 epochs 2023-12-25 12:13:40,710 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 12:13:41,362 - pyskl - INFO - top1_acc 0.8959 top5_acc 0.9779 2023-12-25 12:13:41,367 - pyskl - INFO - The previous best checkpoint /data1/medical/hao.wang/reproduction/hongda.liu/pyskl/work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_144.pth was removed 2023-12-25 12:13:41,574 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_146.pth. 2023-12-25 12:13:41,575 - pyskl - INFO - Best top1_acc is 0.8959 at 146 epoch. 2023-12-25 12:13:41,600 - pyskl - INFO - Epoch(val) [146][3718] top1_acc: 0.8959, top5_acc: 0.9779 2023-12-25 12:14:33,899 - pyskl - INFO - Epoch [147][100/3405] lr: 4.320e-05, eta: 0:59:02, time: 0.523, data_time: 0.272, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 12:14:59,138 - pyskl - INFO - Epoch [147][200/3405] lr: 4.257e-05, eta: 0:58:36, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 12:15:24,342 - pyskl - INFO - Epoch [147][300/3405] lr: 4.194e-05, eta: 0:58:09, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8861, loss: 2.8861 2023-12-25 12:15:49,503 - pyskl - INFO - Epoch [147][400/3405] lr: 4.131e-05, eta: 0:57:43, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 12:16:14,929 - pyskl - INFO - Epoch [147][500/3405] lr: 4.069e-05, eta: 0:57:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 12:16:40,229 - pyskl - INFO - Epoch [147][600/3405] lr: 4.007e-05, eta: 0:56:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8896, loss: 2.8896 2023-12-25 12:17:05,274 - pyskl - INFO - Epoch [147][700/3405] lr: 3.946e-05, eta: 0:56:25, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8861, loss: 2.8861 2023-12-25 12:17:30,219 - pyskl - INFO - Epoch [147][800/3405] lr: 3.885e-05, eta: 0:55:58, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8860, loss: 2.8860 2023-12-25 12:17:55,144 - pyskl - INFO - Epoch [147][900/3405] lr: 3.825e-05, eta: 0:55:32, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 12:18:20,074 - pyskl - INFO - Epoch [147][1000/3405] lr: 3.765e-05, eta: 0:55:06, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8861, loss: 2.8861 2023-12-25 12:18:44,984 - pyskl - INFO - Epoch [147][1100/3405] lr: 3.705e-05, eta: 0:54:40, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 12:19:09,891 - pyskl - INFO - Epoch [147][1200/3405] lr: 3.646e-05, eta: 0:54:13, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8858, loss: 2.8858 2023-12-25 12:19:34,831 - pyskl - INFO - Epoch [147][1300/3405] lr: 3.588e-05, eta: 0:53:47, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8868, loss: 2.8868 2023-12-25 12:19:59,765 - pyskl - INFO - Epoch [147][1400/3405] lr: 3.530e-05, eta: 0:53:21, time: 0.249, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 12:20:25,753 - pyskl - INFO - Epoch [147][1500/3405] lr: 3.472e-05, eta: 0:52:55, time: 0.260, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8865, loss: 2.8865 2023-12-25 12:20:51,360 - pyskl - INFO - Epoch [147][1600/3405] lr: 3.415e-05, eta: 0:52:28, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8886, loss: 2.8886 2023-12-25 12:21:16,639 - pyskl - INFO - Epoch [147][1700/3405] lr: 3.359e-05, eta: 0:52:02, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8858, loss: 2.8858 2023-12-25 12:21:42,233 - pyskl - INFO - Epoch [147][1800/3405] lr: 3.303e-05, eta: 0:51:36, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8856, loss: 2.8856 2023-12-25 12:22:07,797 - pyskl - INFO - Epoch [147][1900/3405] lr: 3.247e-05, eta: 0:51:10, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8890, loss: 2.8890 2023-12-25 12:22:33,542 - pyskl - INFO - Epoch [147][2000/3405] lr: 3.192e-05, eta: 0:50:44, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8884, loss: 2.8884 2023-12-25 12:22:59,277 - pyskl - INFO - Epoch [147][2100/3405] lr: 3.137e-05, eta: 0:50:17, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8884, loss: 2.8884 2023-12-25 12:23:24,568 - pyskl - INFO - Epoch [147][2200/3405] lr: 3.083e-05, eta: 0:49:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 12:23:50,049 - pyskl - INFO - Epoch [147][2300/3405] lr: 3.029e-05, eta: 0:49:25, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8877, loss: 2.8877 2023-12-25 12:24:15,356 - pyskl - INFO - Epoch [147][2400/3405] lr: 2.976e-05, eta: 0:48:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 12:24:41,102 - pyskl - INFO - Epoch [147][2500/3405] lr: 2.923e-05, eta: 0:48:33, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8877, loss: 2.8877 2023-12-25 12:25:06,897 - pyskl - INFO - Epoch [147][2600/3405] lr: 2.871e-05, eta: 0:48:06, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8867, loss: 2.8867 2023-12-25 12:25:32,325 - pyskl - INFO - Epoch [147][2700/3405] lr: 2.819e-05, eta: 0:47:40, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8875, loss: 2.8875 2023-12-25 12:25:57,913 - pyskl - INFO - Epoch [147][2800/3405] lr: 2.768e-05, eta: 0:47:14, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 12:26:23,731 - pyskl - INFO - Epoch [147][2900/3405] lr: 2.717e-05, eta: 0:46:48, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 12:26:49,855 - pyskl - INFO - Epoch [147][3000/3405] lr: 2.666e-05, eta: 0:46:22, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 12:27:15,258 - pyskl - INFO - Epoch [147][3100/3405] lr: 2.617e-05, eta: 0:45:55, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8863, loss: 2.8863 2023-12-25 12:27:40,549 - pyskl - INFO - Epoch [147][3200/3405] lr: 2.567e-05, eta: 0:45:29, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8884, loss: 2.8884 2023-12-25 12:28:05,889 - pyskl - INFO - Epoch [147][3300/3405] lr: 2.518e-05, eta: 0:45:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8864, loss: 2.8864 2023-12-25 12:28:31,317 - pyskl - INFO - Epoch [147][3400/3405] lr: 2.469e-05, eta: 0:44:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8877, loss: 2.8877 2023-12-25 12:28:33,313 - pyskl - INFO - Saving checkpoint at 147 epochs 2023-12-25 12:32:57,809 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 12:32:58,454 - pyskl - INFO - top1_acc 0.8944 top5_acc 0.9775 2023-12-25 12:32:58,479 - pyskl - INFO - Epoch(val) [147][3718] top1_acc: 0.8944, top5_acc: 0.9775 2023-12-25 12:33:51,216 - pyskl - INFO - Epoch [148][100/3405] lr: 2.419e-05, eta: 0:44:10, time: 0.527, data_time: 0.276, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 12:34:17,089 - pyskl - INFO - Epoch [148][200/3405] lr: 2.371e-05, eta: 0:43:43, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 12:34:42,485 - pyskl - INFO - Epoch [148][300/3405] lr: 2.324e-05, eta: 0:43:17, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 12:35:07,596 - pyskl - INFO - Epoch [148][400/3405] lr: 2.278e-05, eta: 0:42:51, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8867, loss: 2.8867 2023-12-25 12:35:32,835 - pyskl - INFO - Epoch [148][500/3405] lr: 2.232e-05, eta: 0:42:25, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8885, loss: 2.8885 2023-12-25 12:35:58,123 - pyskl - INFO - Epoch [148][600/3405] lr: 2.186e-05, eta: 0:41:59, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 12:36:23,468 - pyskl - INFO - Epoch [148][700/3405] lr: 2.141e-05, eta: 0:41:32, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8871, loss: 2.8871 2023-12-25 12:36:48,552 - pyskl - INFO - Epoch [148][800/3405] lr: 2.096e-05, eta: 0:41:06, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8893, loss: 2.8893 2023-12-25 12:37:13,832 - pyskl - INFO - Epoch [148][900/3405] lr: 2.052e-05, eta: 0:40:40, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8874, loss: 2.8874 2023-12-25 12:37:38,952 - pyskl - INFO - Epoch [148][1000/3405] lr: 2.008e-05, eta: 0:40:14, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8871, loss: 2.8871 2023-12-25 12:38:04,035 - pyskl - INFO - Epoch [148][1100/3405] lr: 1.965e-05, eta: 0:39:48, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8854, loss: 2.8854 2023-12-25 12:38:29,108 - pyskl - INFO - Epoch [148][1200/3405] lr: 1.922e-05, eta: 0:39:21, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8875, loss: 2.8875 2023-12-25 12:38:54,697 - pyskl - INFO - Epoch [148][1300/3405] lr: 1.879e-05, eta: 0:38:55, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8865, loss: 2.8865 2023-12-25 12:39:20,775 - pyskl - INFO - Epoch [148][1400/3405] lr: 1.837e-05, eta: 0:38:29, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8851, loss: 2.8851 2023-12-25 12:39:46,419 - pyskl - INFO - Epoch [148][1500/3405] lr: 1.796e-05, eta: 0:38:03, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 12:40:11,892 - pyskl - INFO - Epoch [148][1600/3405] lr: 1.755e-05, eta: 0:37:36, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 12:40:37,290 - pyskl - INFO - Epoch [148][1700/3405] lr: 1.714e-05, eta: 0:37:10, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8858, loss: 2.8858 2023-12-25 12:41:03,000 - pyskl - INFO - Epoch [148][1800/3405] lr: 1.674e-05, eta: 0:36:44, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8871, loss: 2.8871 2023-12-25 12:41:28,552 - pyskl - INFO - Epoch [148][1900/3405] lr: 1.635e-05, eta: 0:36:18, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8892, loss: 2.8892 2023-12-25 12:41:54,187 - pyskl - INFO - Epoch [148][2000/3405] lr: 1.596e-05, eta: 0:35:52, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8885, loss: 2.8885 2023-12-25 12:42:19,839 - pyskl - INFO - Epoch [148][2100/3405] lr: 1.557e-05, eta: 0:35:25, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8864, loss: 2.8864 2023-12-25 12:42:45,199 - pyskl - INFO - Epoch [148][2200/3405] lr: 1.519e-05, eta: 0:34:59, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8868, loss: 2.8868 2023-12-25 12:43:10,658 - pyskl - INFO - Epoch [148][2300/3405] lr: 1.481e-05, eta: 0:34:33, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8875, loss: 2.8875 2023-12-25 12:43:36,089 - pyskl - INFO - Epoch [148][2400/3405] lr: 1.444e-05, eta: 0:34:07, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8872, loss: 2.8872 2023-12-25 12:44:01,811 - pyskl - INFO - Epoch [148][2500/3405] lr: 1.408e-05, eta: 0:33:41, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8863, loss: 2.8863 2023-12-25 12:44:27,207 - pyskl - INFO - Epoch [148][2600/3405] lr: 1.371e-05, eta: 0:33:14, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8858, loss: 2.8858 2023-12-25 12:44:52,250 - pyskl - INFO - Epoch [148][2700/3405] lr: 1.336e-05, eta: 0:32:48, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 12:45:17,700 - pyskl - INFO - Epoch [148][2800/3405] lr: 1.300e-05, eta: 0:32:22, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 12:45:43,156 - pyskl - INFO - Epoch [148][2900/3405] lr: 1.265e-05, eta: 0:31:56, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8862, loss: 2.8862 2023-12-25 12:46:08,395 - pyskl - INFO - Epoch [148][3000/3405] lr: 1.231e-05, eta: 0:31:30, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8887, loss: 2.8887 2023-12-25 12:46:34,064 - pyskl - INFO - Epoch [148][3100/3405] lr: 1.197e-05, eta: 0:31:03, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 12:46:59,424 - pyskl - INFO - Epoch [148][3200/3405] lr: 1.164e-05, eta: 0:30:37, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 12:47:25,071 - pyskl - INFO - Epoch [148][3300/3405] lr: 1.131e-05, eta: 0:30:11, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8901, loss: 2.8901 2023-12-25 12:47:50,835 - pyskl - INFO - Epoch [148][3400/3405] lr: 1.098e-05, eta: 0:29:45, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8884, loss: 2.8884 2023-12-25 12:47:52,805 - pyskl - INFO - Saving checkpoint at 148 epochs 2023-12-25 12:52:16,070 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 12:52:16,716 - pyskl - INFO - top1_acc 0.8947 top5_acc 0.9777 2023-12-25 12:52:16,742 - pyskl - INFO - Epoch(val) [148][3718] top1_acc: 0.8947, top5_acc: 0.9777 2023-12-25 12:53:09,104 - pyskl - INFO - Epoch [149][100/3405] lr: 1.065e-05, eta: 0:29:18, time: 0.524, data_time: 0.271, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8854, loss: 2.8854 2023-12-25 12:53:34,438 - pyskl - INFO - Epoch [149][200/3405] lr: 1.033e-05, eta: 0:28:51, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8874, loss: 2.8874 2023-12-25 12:54:00,312 - pyskl - INFO - Epoch [149][300/3405] lr: 1.002e-05, eta: 0:28:25, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8867, loss: 2.8867 2023-12-25 12:54:25,488 - pyskl - INFO - Epoch [149][400/3405] lr: 9.718e-06, eta: 0:27:59, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 12:54:50,871 - pyskl - INFO - Epoch [149][500/3405] lr: 9.417e-06, eta: 0:27:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 12:55:16,401 - pyskl - INFO - Epoch [149][600/3405] lr: 9.121e-06, eta: 0:27:07, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 12:55:41,649 - pyskl - INFO - Epoch [149][700/3405] lr: 8.830e-06, eta: 0:26:40, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8883, loss: 2.8883 2023-12-25 12:56:06,845 - pyskl - INFO - Epoch [149][800/3405] lr: 8.543e-06, eta: 0:26:14, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8861, loss: 2.8861 2023-12-25 12:56:32,234 - pyskl - INFO - Epoch [149][900/3405] lr: 8.261e-06, eta: 0:25:48, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8869, loss: 2.8869 2023-12-25 12:56:57,393 - pyskl - INFO - Epoch [149][1000/3405] lr: 7.984e-06, eta: 0:25:22, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8904, loss: 2.8904 2023-12-25 12:57:22,588 - pyskl - INFO - Epoch [149][1100/3405] lr: 7.712e-06, eta: 0:24:55, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8869, loss: 2.8869 2023-12-25 12:57:48,092 - pyskl - INFO - Epoch [149][1200/3405] lr: 7.444e-06, eta: 0:24:29, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8864, loss: 2.8864 2023-12-25 12:58:13,420 - pyskl - INFO - Epoch [149][1300/3405] lr: 7.181e-06, eta: 0:24:03, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8883, loss: 2.8883 2023-12-25 12:58:38,684 - pyskl - INFO - Epoch [149][1400/3405] lr: 6.923e-06, eta: 0:23:37, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8865, loss: 2.8865 2023-12-25 12:59:04,767 - pyskl - INFO - Epoch [149][1500/3405] lr: 6.669e-06, eta: 0:23:11, time: 0.261, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8869, loss: 2.8869 2023-12-25 12:59:30,209 - pyskl - INFO - Epoch [149][1600/3405] lr: 6.420e-06, eta: 0:22:44, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8883, loss: 2.8883 2023-12-25 12:59:55,389 - pyskl - INFO - Epoch [149][1700/3405] lr: 6.176e-06, eta: 0:22:18, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 13:00:20,894 - pyskl - INFO - Epoch [149][1800/3405] lr: 5.937e-06, eta: 0:21:52, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 13:00:46,262 - pyskl - INFO - Epoch [149][1900/3405] lr: 5.703e-06, eta: 0:21:26, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8860, loss: 2.8860 2023-12-25 13:01:11,833 - pyskl - INFO - Epoch [149][2000/3405] lr: 5.473e-06, eta: 0:21:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8892, loss: 2.8892 2023-12-25 13:01:37,130 - pyskl - INFO - Epoch [149][2100/3405] lr: 5.248e-06, eta: 0:20:33, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 13:02:02,957 - pyskl - INFO - Epoch [149][2200/3405] lr: 5.027e-06, eta: 0:20:07, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8867, loss: 2.8867 2023-12-25 13:02:28,817 - pyskl - INFO - Epoch [149][2300/3405] lr: 4.812e-06, eta: 0:19:41, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8876, loss: 2.8876 2023-12-25 13:02:54,083 - pyskl - INFO - Epoch [149][2400/3405] lr: 4.601e-06, eta: 0:19:15, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 13:03:19,946 - pyskl - INFO - Epoch [149][2500/3405] lr: 4.394e-06, eta: 0:18:49, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8869, loss: 2.8869 2023-12-25 13:03:45,632 - pyskl - INFO - Epoch [149][2600/3405] lr: 4.193e-06, eta: 0:18:22, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8878, loss: 2.8878 2023-12-25 13:04:11,320 - pyskl - INFO - Epoch [149][2700/3405] lr: 3.996e-06, eta: 0:17:56, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 13:04:37,111 - pyskl - INFO - Epoch [149][2800/3405] lr: 3.804e-06, eta: 0:17:30, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 13:05:02,513 - pyskl - INFO - Epoch [149][2900/3405] lr: 3.617e-06, eta: 0:17:04, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 13:05:27,837 - pyskl - INFO - Epoch [149][3000/3405] lr: 3.434e-06, eta: 0:16:38, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 13:05:53,279 - pyskl - INFO - Epoch [149][3100/3405] lr: 3.256e-06, eta: 0:16:11, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8852, loss: 2.8852 2023-12-25 13:06:18,650 - pyskl - INFO - Epoch [149][3200/3405] lr: 3.083e-06, eta: 0:15:45, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8900, loss: 2.8900 2023-12-25 13:06:43,877 - pyskl - INFO - Epoch [149][3300/3405] lr: 2.915e-06, eta: 0:15:19, time: 0.252, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8890, loss: 2.8890 2023-12-25 13:07:09,177 - pyskl - INFO - Epoch [149][3400/3405] lr: 2.751e-06, eta: 0:14:53, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8894, loss: 2.8894 2023-12-25 13:07:11,406 - pyskl - INFO - Saving checkpoint at 149 epochs 2023-12-25 13:11:34,511 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 13:11:35,120 - pyskl - INFO - top1_acc 0.8953 top5_acc 0.9781 2023-12-25 13:11:35,145 - pyskl - INFO - Epoch(val) [149][3718] top1_acc: 0.8953, top5_acc: 0.9781 2023-12-25 13:12:27,497 - pyskl - INFO - Epoch [150][100/3405] lr: 2.584e-06, eta: 0:14:25, time: 0.523, data_time: 0.271, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8872, loss: 2.8872 2023-12-25 13:12:53,000 - pyskl - INFO - Epoch [150][200/3405] lr: 2.430e-06, eta: 0:13:59, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8859, loss: 2.8859 2023-12-25 13:13:18,354 - pyskl - INFO - Epoch [150][300/3405] lr: 2.281e-06, eta: 0:13:33, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8863, loss: 2.8863 2023-12-25 13:13:44,202 - pyskl - INFO - Epoch [150][400/3405] lr: 2.137e-06, eta: 0:13:07, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8857, loss: 2.8857 2023-12-25 13:14:10,690 - pyskl - INFO - Epoch [150][500/3405] lr: 1.997e-06, eta: 0:12:41, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8858, loss: 2.8858 2023-12-25 13:14:37,169 - pyskl - INFO - Epoch [150][600/3405] lr: 1.862e-06, eta: 0:12:14, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8867, loss: 2.8867 2023-12-25 13:15:03,647 - pyskl - INFO - Epoch [150][700/3405] lr: 1.731e-06, eta: 0:11:48, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 13:15:30,126 - pyskl - INFO - Epoch [150][800/3405] lr: 1.606e-06, eta: 0:11:22, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8858, loss: 2.8858 2023-12-25 13:15:56,596 - pyskl - INFO - Epoch [150][900/3405] lr: 1.485e-06, eta: 0:10:56, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8874, loss: 2.8874 2023-12-25 13:16:23,117 - pyskl - INFO - Epoch [150][1000/3405] lr: 1.369e-06, eta: 0:10:30, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8879, loss: 2.8879 2023-12-25 13:16:49,644 - pyskl - INFO - Epoch [150][1100/3405] lr: 1.257e-06, eta: 0:10:03, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8880, loss: 2.8880 2023-12-25 13:17:16,135 - pyskl - INFO - Epoch [150][1200/3405] lr: 1.151e-06, eta: 0:09:37, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8863, loss: 2.8863 2023-12-25 13:17:42,636 - pyskl - INFO - Epoch [150][1300/3405] lr: 1.049e-06, eta: 0:09:11, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8873, loss: 2.8873 2023-12-25 13:18:09,166 - pyskl - INFO - Epoch [150][1400/3405] lr: 9.515e-07, eta: 0:08:45, time: 0.265, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8897, loss: 2.8897 2023-12-25 13:18:34,888 - pyskl - INFO - Epoch [150][1500/3405] lr: 8.590e-07, eta: 0:08:19, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8871, loss: 2.8871 2023-12-25 13:19:00,305 - pyskl - INFO - Epoch [150][1600/3405] lr: 7.712e-07, eta: 0:07:52, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8859, loss: 2.8859 2023-12-25 13:19:25,440 - pyskl - INFO - Epoch [150][1700/3405] lr: 6.882e-07, eta: 0:07:26, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8868, loss: 2.8868 2023-12-25 13:19:50,993 - pyskl - INFO - Epoch [150][1800/3405] lr: 6.099e-07, eta: 0:07:00, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 13:20:16,306 - pyskl - INFO - Epoch [150][1900/3405] lr: 5.363e-07, eta: 0:06:34, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8885, loss: 2.8885 2023-12-25 13:20:41,722 - pyskl - INFO - Epoch [150][2000/3405] lr: 4.674e-07, eta: 0:06:08, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8862, loss: 2.8862 2023-12-25 13:21:07,061 - pyskl - INFO - Epoch [150][2100/3405] lr: 4.033e-07, eta: 0:05:41, time: 0.253, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8867, loss: 2.8867 2023-12-25 13:21:32,096 - pyskl - INFO - Epoch [150][2200/3405] lr: 3.439e-07, eta: 0:05:15, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8868, loss: 2.8868 2023-12-25 13:21:57,122 - pyskl - INFO - Epoch [150][2300/3405] lr: 2.892e-07, eta: 0:04:49, time: 0.250, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8860, loss: 2.8860 2023-12-25 13:22:22,190 - pyskl - INFO - Epoch [150][2400/3405] lr: 2.393e-07, eta: 0:04:23, time: 0.251, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8866, loss: 2.8866 2023-12-25 13:22:47,771 - pyskl - INFO - Epoch [150][2500/3405] lr: 1.941e-07, eta: 0:03:57, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8860, loss: 2.8860 2023-12-25 13:23:13,435 - pyskl - INFO - Epoch [150][2600/3405] lr: 1.536e-07, eta: 0:03:30, time: 0.257, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8870, loss: 2.8870 2023-12-25 13:23:38,919 - pyskl - INFO - Epoch [150][2700/3405] lr: 1.179e-07, eta: 0:03:04, time: 0.255, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8867, loss: 2.8867 2023-12-25 13:24:04,322 - pyskl - INFO - Epoch [150][2800/3405] lr: 8.684e-08, eta: 0:02:38, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8862, loss: 2.8862 2023-12-25 13:24:29,877 - pyskl - INFO - Epoch [150][2900/3405] lr: 6.054e-08, eta: 0:02:12, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8871, loss: 2.8871 2023-12-25 13:24:55,515 - pyskl - INFO - Epoch [150][3000/3405] lr: 3.898e-08, eta: 0:01:46, time: 0.256, data_time: 0.000, memory: 5236, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 2.8882, loss: 2.8882 2023-12-25 13:25:21,369 - pyskl - INFO - Epoch [150][3100/3405] lr: 2.214e-08, eta: 0:01:19, time: 0.259, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8859, loss: 2.8859 2023-12-25 13:25:47,208 - pyskl - INFO - Epoch [150][3200/3405] lr: 1.003e-08, eta: 0:00:53, time: 0.258, data_time: 0.000, memory: 5236, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 2.8905, loss: 2.8905 2023-12-25 13:26:12,590 - pyskl - INFO - Epoch [150][3300/3405] lr: 2.657e-09, eta: 0:00:27, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8869, loss: 2.8869 2023-12-25 13:26:37,964 - pyskl - INFO - Epoch [150][3400/3405] lr: 8.513e-12, eta: 0:00:01, time: 0.254, data_time: 0.000, memory: 5236, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 2.8881, loss: 2.8881 2023-12-25 13:26:39,909 - pyskl - INFO - Saving checkpoint at 150 epochs 2023-12-25 13:31:03,449 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 13:31:04,099 - pyskl - INFO - top1_acc 0.8948 top5_acc 0.9777 2023-12-25 13:31:04,124 - pyskl - INFO - Epoch(val) [150][3718] top1_acc: 0.8948, top5_acc: 0.9777 2023-12-25 13:31:18,678 - pyskl - INFO - 59477 videos remain after valid thresholding 2023-12-25 14:11:54,926 - pyskl - INFO - Testing results of the last checkpoint 2023-12-25 14:11:54,927 - pyskl - INFO - top1_acc: 0.8967 2023-12-25 14:11:54,927 - pyskl - INFO - top5_acc: 0.9786 2023-12-25 14:11:54,928 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/ntu120_xset/b_2/best_top1_acc_epoch_146.pth 2023-12-25 14:53:14,829 - pyskl - INFO - Testing results of the best checkpoint 2023-12-25 14:53:14,834 - pyskl - INFO - top1_acc: 0.8983 2023-12-25 14:53:14,834 - pyskl - INFO - top5_acc: 0.9791