2023-12-13 12:14:47,844 - 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: Tesla V100-PCIE-32GB CUDA_HOME: /usr/local/cuda-12.0 NVCC: Cuda compilation tools, release 12.0, V12.0.76 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: 4.8.0 MMCV: 1.5.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.3 pyskl: 0.1.0+ ------------------------------------------------------------ 2023-12-13 12:14:48,238 - pyskl - INFO - Config: modality = 'b' graph = 'coco_new' work_dir = './work_dirs/test_prototype/finegym/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='coco_new', mode='random', num_filter=8, init_off=0.04, init_std=0.02)), cls_head=dict(type='SimpleHead_7_4_12', num_classes=99, in_channels=384)) dataset_type = 'PoseDataset' ann_file = '/data/lhd/pyskl_data/gym/gym_hrnet.pkl' left_kp = [1, 3, 5, 7, 9, 11, 13, 15] right_kp = [2, 4, 6, 8, 10, 12, 14, 16] train_pipeline = [ dict(type='UniformSampleFrames', clip_len=100), dict(type='PoseDecode'), dict( type='Flip', flip_ratio=0.5, left_kp=[1, 3, 5, 7, 9, 11, 13, 15], right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] val_pipeline = [ dict(type='UniformSampleFrames', clip_len=100, num_clips=1), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] test_pipeline = [ dict(type='UniformSampleFrames', clip_len=100, num_clips=10), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), 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='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100), dict(type='PoseDecode'), dict( type='Flip', flip_ratio=0.5, left_kp=[1, 3, 5, 7, 9, 11, 13, 15], right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='train'), val=dict( type='PoseDataset', ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100, num_clips=1), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='val'), test=dict( type='PoseDataset', ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100, num_clips=10), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='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', 'mean_class_accuracy'], topk=(1, 5)) log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) dist_params = dict(backend='nccl') gpu_ids = range(0, 1) 2023-12-13 12:14:48,239 - pyskl - INFO - Set random seed to 1928933818, deterministic: False 2023-12-13 12:14:49,737 - pyskl - INFO - 20484 videos remain after valid thresholding 2023-12-13 12:14:54,993 - pyskl - INFO - 8521 videos remain after valid thresholding 2023-12-13 12:14:54,994 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2 2023-12-13 12:14:54,995 - 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 -------------------- 2023-12-13 12:14:54,995 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2023-12-13 12:14:54,995 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2 by HardDiskBackend. 2023-12-13 12:15:35,196 - pyskl - INFO - Epoch [1][100/1281] lr: 2.500e-02, eta: 21:26:34, time: 0.402, data_time: 0.185, memory: 4120, top1_acc: 0.0775, top5_acc: 0.2537, loss_cls: 5.9859, loss: 5.9859 2023-12-13 12:15:56,603 - pyskl - INFO - Epoch [1][200/1281] lr: 2.500e-02, eta: 16:25:21, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.1081, top5_acc: 0.3563, loss_cls: 6.0004, loss: 6.0004 2023-12-13 12:16:18,007 - pyskl - INFO - Epoch [1][300/1281] lr: 2.500e-02, eta: 14:44:40, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.0988, top5_acc: 0.4006, loss_cls: 5.9234, loss: 5.9234 2023-12-13 12:16:39,043 - pyskl - INFO - Epoch [1][400/1281] lr: 2.500e-02, eta: 13:51:13, time: 0.210, data_time: 0.000, memory: 4120, top1_acc: 0.1244, top5_acc: 0.3937, loss_cls: 6.1370, loss: 6.1370 2023-12-13 12:17:00,470 - pyskl - INFO - Epoch [1][500/1281] lr: 2.500e-02, eta: 13:21:30, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.1750, top5_acc: 0.4794, loss_cls: 5.7265, loss: 5.7265 2023-12-13 12:17:21,891 - pyskl - INFO - Epoch [1][600/1281] lr: 2.500e-02, eta: 13:01:32, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.1925, top5_acc: 0.5325, loss_cls: 5.4043, loss: 5.4043 2023-12-13 12:17:43,195 - pyskl - INFO - Epoch [1][700/1281] lr: 2.500e-02, eta: 12:46:39, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.1988, top5_acc: 0.5531, loss_cls: 5.3707, loss: 5.3707 2023-12-13 12:18:04,510 - pyskl - INFO - Epoch [1][800/1281] lr: 2.500e-02, eta: 12:35:26, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.2369, top5_acc: 0.6169, loss_cls: 4.9843, loss: 4.9843 2023-12-13 12:18:25,940 - pyskl - INFO - Epoch [1][900/1281] lr: 2.500e-02, eta: 12:27:02, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.2644, top5_acc: 0.6444, loss_cls: 4.8147, loss: 4.8147 2023-12-13 12:18:47,340 - pyskl - INFO - Epoch [1][1000/1281] lr: 2.500e-02, eta: 12:20:09, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.2787, top5_acc: 0.6781, loss_cls: 4.4758, loss: 4.4758 2023-12-13 12:19:08,743 - pyskl - INFO - Epoch [1][1100/1281] lr: 2.500e-02, eta: 12:14:28, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.3619, top5_acc: 0.7406, loss_cls: 3.9577, loss: 3.9577 2023-12-13 12:19:30,101 - pyskl - INFO - Epoch [1][1200/1281] lr: 2.500e-02, eta: 12:09:33, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.3344, top5_acc: 0.7256, loss_cls: 3.9634, loss: 3.9634 2023-12-13 12:19:48,151 - pyskl - INFO - Saving checkpoint at 1 epochs 2023-12-13 12:20:33,162 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 12:20:33,238 - pyskl - INFO - top1_acc 0.3349 top5_acc 0.7517 2023-12-13 12:20:33,238 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 12:20:33,247 - pyskl - INFO - mean_acc 0.1815 2023-12-13 12:20:33,435 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2023-12-13 12:20:33,435 - pyskl - INFO - Best top1_acc is 0.3349 at 1 epoch. 2023-12-13 12:20:33,439 - pyskl - INFO - Epoch(val) [1][533] top1_acc: 0.3349, top5_acc: 0.7517, mean_class_accuracy: 0.1815 2023-12-13 12:21:13,492 - pyskl - INFO - Epoch [2][100/1281] lr: 2.500e-02, eta: 12:05:31, time: 0.400, data_time: 0.185, memory: 4120, top1_acc: 0.3775, top5_acc: 0.7788, loss_cls: 3.6024, loss: 3.6024 2023-12-13 12:21:34,908 - pyskl - INFO - Epoch [2][200/1281] lr: 2.500e-02, eta: 12:02:08, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.4088, top5_acc: 0.8294, loss_cls: 3.3607, loss: 3.3607 2023-12-13 12:21:56,133 - pyskl - INFO - Epoch [2][300/1281] lr: 2.500e-02, eta: 11:58:44, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.4387, top5_acc: 0.8337, loss_cls: 3.2680, loss: 3.2680 2023-12-13 12:22:17,246 - pyskl - INFO - Epoch [2][400/1281] lr: 2.500e-02, eta: 11:55:30, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.4637, top5_acc: 0.8400, loss_cls: 3.1278, loss: 3.1278 2023-12-13 12:22:38,564 - pyskl - INFO - Epoch [2][500/1281] lr: 2.499e-02, eta: 11:52:56, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.4694, top5_acc: 0.8462, loss_cls: 3.0156, loss: 3.0156 2023-12-13 12:22:59,734 - pyskl - INFO - Epoch [2][600/1281] lr: 2.499e-02, eta: 11:50:22, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.5069, top5_acc: 0.8862, loss_cls: 2.7321, loss: 2.7321 2023-12-13 12:23:20,914 - pyskl - INFO - Epoch [2][700/1281] lr: 2.499e-02, eta: 11:48:03, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.4806, top5_acc: 0.8869, loss_cls: 2.8473, loss: 2.8473 2023-12-13 12:23:42,226 - pyskl - INFO - Epoch [2][800/1281] lr: 2.499e-02, eta: 11:46:06, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.4988, top5_acc: 0.8756, loss_cls: 2.7425, loss: 2.7425 2023-12-13 12:24:03,544 - pyskl - INFO - Epoch [2][900/1281] lr: 2.499e-02, eta: 11:44:19, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.5181, top5_acc: 0.9000, loss_cls: 2.5720, loss: 2.5720 2023-12-13 12:24:24,798 - pyskl - INFO - Epoch [2][1000/1281] lr: 2.499e-02, eta: 11:42:34, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.5325, top5_acc: 0.8900, loss_cls: 2.5436, loss: 2.5436 2023-12-13 12:24:45,989 - pyskl - INFO - Epoch [2][1100/1281] lr: 2.499e-02, eta: 11:40:51, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.5169, top5_acc: 0.9038, loss_cls: 2.4877, loss: 2.4877 2023-12-13 12:25:07,345 - pyskl - INFO - Epoch [2][1200/1281] lr: 2.499e-02, eta: 11:39:28, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.5169, top5_acc: 0.9000, loss_cls: 2.4554, loss: 2.4554 2023-12-13 12:25:25,624 - pyskl - INFO - Saving checkpoint at 2 epochs 2023-12-13 12:26:09,632 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 12:26:09,698 - pyskl - INFO - top1_acc 0.5146 top5_acc 0.8886 2023-12-13 12:26:09,698 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 12:26:09,706 - pyskl - INFO - mean_acc 0.3544 2023-12-13 12:26:09,710 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_1.pth was removed 2023-12-13 12:26:09,911 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2023-12-13 12:26:09,912 - pyskl - INFO - Best top1_acc is 0.5146 at 2 epoch. 2023-12-13 12:26:09,915 - pyskl - INFO - Epoch(val) [2][533] top1_acc: 0.5146, top5_acc: 0.8886, mean_class_accuracy: 0.3544 2023-12-13 12:26:50,131 - pyskl - INFO - Epoch [3][100/1281] lr: 2.499e-02, eta: 11:38:59, time: 0.402, data_time: 0.190, memory: 4120, top1_acc: 0.5569, top5_acc: 0.9006, loss_cls: 2.2776, loss: 2.2776 2023-12-13 12:27:11,492 - pyskl - INFO - Epoch [3][200/1281] lr: 2.499e-02, eta: 11:37:44, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.5650, top5_acc: 0.9244, loss_cls: 2.2353, loss: 2.2353 2023-12-13 12:27:32,883 - pyskl - INFO - Epoch [3][300/1281] lr: 2.499e-02, eta: 11:36:35, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.5781, top5_acc: 0.9187, loss_cls: 2.1379, loss: 2.1379 2023-12-13 12:27:54,184 - pyskl - INFO - Epoch [3][400/1281] lr: 2.499e-02, eta: 11:35:23, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.5769, top5_acc: 0.9337, loss_cls: 2.0799, loss: 2.0799 2023-12-13 12:28:15,270 - pyskl - INFO - Epoch [3][500/1281] lr: 2.498e-02, eta: 11:34:01, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.5750, top5_acc: 0.9287, loss_cls: 2.0552, loss: 2.0552 2023-12-13 12:28:36,667 - pyskl - INFO - Epoch [3][600/1281] lr: 2.498e-02, eta: 11:33:01, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.5900, top5_acc: 0.9313, loss_cls: 1.9606, loss: 1.9606 2023-12-13 12:28:58,004 - pyskl - INFO - Epoch [3][700/1281] lr: 2.498e-02, eta: 11:32:01, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.5938, top5_acc: 0.9394, loss_cls: 1.9305, loss: 1.9305 2023-12-13 12:29:19,357 - pyskl - INFO - Epoch [3][800/1281] lr: 2.498e-02, eta: 11:31:03, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.6069, top5_acc: 0.9387, loss_cls: 1.8801, loss: 1.8801 2023-12-13 12:29:40,576 - pyskl - INFO - Epoch [3][900/1281] lr: 2.498e-02, eta: 11:30:01, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.6181, top5_acc: 0.9450, loss_cls: 1.7830, loss: 1.7830 2023-12-13 12:30:01,944 - pyskl - INFO - Epoch [3][1000/1281] lr: 2.498e-02, eta: 11:29:08, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.6138, top5_acc: 0.9406, loss_cls: 1.8356, loss: 1.8356 2023-12-13 12:30:23,361 - pyskl - INFO - Epoch [3][1100/1281] lr: 2.498e-02, eta: 11:28:20, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.6162, top5_acc: 0.9250, loss_cls: 1.8149, loss: 1.8149 2023-12-13 12:30:44,961 - pyskl - INFO - Epoch [3][1200/1281] lr: 2.498e-02, eta: 11:27:43, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.6200, top5_acc: 0.9469, loss_cls: 1.7476, loss: 1.7476 2023-12-13 12:31:02,983 - pyskl - INFO - Saving checkpoint at 3 epochs 2023-12-13 12:31:47,331 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 12:31:47,387 - pyskl - INFO - top1_acc 0.5639 top5_acc 0.9186 2023-12-13 12:31:47,387 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 12:31:47,393 - pyskl - INFO - mean_acc 0.4076 2023-12-13 12:31:47,397 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_2.pth was removed 2023-12-13 12:31:47,585 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2023-12-13 12:31:47,586 - pyskl - INFO - Best top1_acc is 0.5639 at 3 epoch. 2023-12-13 12:31:47,589 - pyskl - INFO - Epoch(val) [3][533] top1_acc: 0.5639, top5_acc: 0.9186, mean_class_accuracy: 0.4076 2023-12-13 12:32:27,990 - pyskl - INFO - Epoch [4][100/1281] lr: 2.497e-02, eta: 11:27:39, time: 0.404, data_time: 0.191, memory: 4120, top1_acc: 0.6512, top5_acc: 0.9413, loss_cls: 1.7020, loss: 1.7020 2023-12-13 12:32:49,300 - pyskl - INFO - Epoch [4][200/1281] lr: 2.497e-02, eta: 11:26:48, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.6219, top5_acc: 0.9456, loss_cls: 1.7293, loss: 1.7293 2023-12-13 12:33:10,776 - pyskl - INFO - Epoch [4][300/1281] lr: 2.497e-02, eta: 11:26:07, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.6388, top5_acc: 0.9494, loss_cls: 1.6712, loss: 1.6712 2023-12-13 12:33:32,238 - pyskl - INFO - Epoch [4][400/1281] lr: 2.497e-02, eta: 11:25:26, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.6369, top5_acc: 0.9619, loss_cls: 1.5877, loss: 1.5877 2023-12-13 12:33:53,609 - pyskl - INFO - Epoch [4][500/1281] lr: 2.497e-02, eta: 11:24:41, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.6637, top5_acc: 0.9519, loss_cls: 1.6217, loss: 1.6217 2023-12-13 12:34:14,712 - pyskl - INFO - Epoch [4][600/1281] lr: 2.497e-02, eta: 11:23:47, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.6719, top5_acc: 0.9575, loss_cls: 1.5719, loss: 1.5719 2023-12-13 12:34:36,052 - pyskl - INFO - Epoch [4][700/1281] lr: 2.497e-02, eta: 11:23:04, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.6494, top5_acc: 0.9525, loss_cls: 1.6382, loss: 1.6382 2023-12-13 12:34:57,257 - pyskl - INFO - Epoch [4][800/1281] lr: 2.496e-02, eta: 11:22:16, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.6600, top5_acc: 0.9619, loss_cls: 1.5141, loss: 1.5141 2023-12-13 12:35:18,660 - pyskl - INFO - Epoch [4][900/1281] lr: 2.496e-02, eta: 11:21:37, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.6581, top5_acc: 0.9587, loss_cls: 1.5334, loss: 1.5334 2023-12-13 12:35:40,195 - pyskl - INFO - Epoch [4][1000/1281] lr: 2.496e-02, eta: 11:21:04, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.6963, top5_acc: 0.9694, loss_cls: 1.4338, loss: 1.4338 2023-12-13 12:36:01,708 - pyskl - INFO - Epoch [4][1100/1281] lr: 2.496e-02, eta: 11:20:31, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.6587, top5_acc: 0.9569, loss_cls: 1.5460, loss: 1.5460 2023-12-13 12:36:22,987 - pyskl - INFO - Epoch [4][1200/1281] lr: 2.496e-02, eta: 11:19:49, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.6744, top5_acc: 0.9619, loss_cls: 1.5285, loss: 1.5285 2023-12-13 12:36:41,158 - pyskl - INFO - Saving checkpoint at 4 epochs 2023-12-13 12:37:25,502 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 12:37:25,571 - pyskl - INFO - top1_acc 0.6683 top5_acc 0.9501 2023-12-13 12:37:25,571 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 12:37:25,580 - pyskl - INFO - mean_acc 0.5428 2023-12-13 12:37:25,585 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_3.pth was removed 2023-12-13 12:37:25,789 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2023-12-13 12:37:25,789 - pyskl - INFO - Best top1_acc is 0.6683 at 4 epoch. 2023-12-13 12:37:25,792 - pyskl - INFO - Epoch(val) [4][533] top1_acc: 0.6683, top5_acc: 0.9501, mean_class_accuracy: 0.5428 2023-12-13 12:38:06,009 - pyskl - INFO - Epoch [5][100/1281] lr: 2.495e-02, eta: 11:19:37, time: 0.402, data_time: 0.187, memory: 4120, top1_acc: 0.6719, top5_acc: 0.9581, loss_cls: 1.4920, loss: 1.4920 2023-12-13 12:38:27,260 - pyskl - INFO - Epoch [5][200/1281] lr: 2.495e-02, eta: 11:18:55, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.6950, top5_acc: 0.9675, loss_cls: 1.4026, loss: 1.4026 2023-12-13 12:38:48,582 - pyskl - INFO - Epoch [5][300/1281] lr: 2.495e-02, eta: 11:18:17, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.6656, top5_acc: 0.9669, loss_cls: 1.4371, loss: 1.4371 2023-12-13 12:39:09,882 - pyskl - INFO - Epoch [5][400/1281] lr: 2.495e-02, eta: 11:17:38, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.6887, top5_acc: 0.9719, loss_cls: 1.3637, loss: 1.3637 2023-12-13 12:39:31,368 - pyskl - INFO - Epoch [5][500/1281] lr: 2.495e-02, eta: 11:17:06, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.6875, top5_acc: 0.9663, loss_cls: 1.3954, loss: 1.3954 2023-12-13 12:39:52,840 - pyskl - INFO - Epoch [5][600/1281] lr: 2.495e-02, eta: 11:16:34, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.6894, top5_acc: 0.9619, loss_cls: 1.4313, loss: 1.4313 2023-12-13 12:40:13,987 - pyskl - INFO - Epoch [5][700/1281] lr: 2.494e-02, eta: 11:15:52, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.6844, top5_acc: 0.9744, loss_cls: 1.3573, loss: 1.3573 2023-12-13 12:40:35,336 - pyskl - INFO - Epoch [5][800/1281] lr: 2.494e-02, eta: 11:15:18, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.7119, top5_acc: 0.9731, loss_cls: 1.2839, loss: 1.2839 2023-12-13 12:40:56,656 - pyskl - INFO - Epoch [5][900/1281] lr: 2.494e-02, eta: 11:14:42, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7063, top5_acc: 0.9563, loss_cls: 1.3820, loss: 1.3820 2023-12-13 12:41:18,020 - pyskl - INFO - Epoch [5][1000/1281] lr: 2.494e-02, eta: 11:14:09, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.6963, top5_acc: 0.9762, loss_cls: 1.3313, loss: 1.3313 2023-12-13 12:41:39,383 - pyskl - INFO - Epoch [5][1100/1281] lr: 2.494e-02, eta: 11:13:36, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.7244, top5_acc: 0.9744, loss_cls: 1.2552, loss: 1.2552 2023-12-13 12:42:00,713 - pyskl - INFO - Epoch [5][1200/1281] lr: 2.493e-02, eta: 11:13:02, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.6887, top5_acc: 0.9688, loss_cls: 1.3512, loss: 1.3512 2023-12-13 12:42:19,086 - pyskl - INFO - Saving checkpoint at 5 epochs 2023-12-13 12:43:03,657 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 12:43:03,715 - pyskl - INFO - top1_acc 0.6909 top5_acc 0.9648 2023-12-13 12:43:03,715 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 12:43:03,722 - pyskl - INFO - mean_acc 0.5761 2023-12-13 12:43:03,726 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_4.pth was removed 2023-12-13 12:43:03,948 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. 2023-12-13 12:43:03,948 - pyskl - INFO - Best top1_acc is 0.6909 at 5 epoch. 2023-12-13 12:43:03,951 - pyskl - INFO - Epoch(val) [5][533] top1_acc: 0.6909, top5_acc: 0.9648, mean_class_accuracy: 0.5761 2023-12-13 12:43:44,374 - pyskl - INFO - Epoch [6][100/1281] lr: 2.493e-02, eta: 11:12:53, time: 0.404, data_time: 0.191, memory: 4120, top1_acc: 0.7481, top5_acc: 0.9800, loss_cls: 1.1651, loss: 1.1651 2023-12-13 12:44:05,755 - pyskl - INFO - Epoch [6][200/1281] lr: 2.493e-02, eta: 11:12:21, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.6944, top5_acc: 0.9706, loss_cls: 1.3271, loss: 1.3271 2023-12-13 12:44:26,930 - pyskl - INFO - Epoch [6][300/1281] lr: 2.492e-02, eta: 11:11:44, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.7175, top5_acc: 0.9762, loss_cls: 1.2597, loss: 1.2597 2023-12-13 12:44:48,255 - pyskl - INFO - Epoch [6][400/1281] lr: 2.492e-02, eta: 11:11:11, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.7412, top5_acc: 0.9769, loss_cls: 1.2020, loss: 1.2020 2023-12-13 12:45:09,643 - pyskl - INFO - Epoch [6][500/1281] lr: 2.492e-02, eta: 11:10:40, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.7362, top5_acc: 0.9750, loss_cls: 1.2526, loss: 1.2526 2023-12-13 12:45:31,182 - pyskl - INFO - Epoch [6][600/1281] lr: 2.492e-02, eta: 11:10:13, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.7156, top5_acc: 0.9700, loss_cls: 1.2331, loss: 1.2331 2023-12-13 12:45:52,505 - pyskl - INFO - Epoch [6][700/1281] lr: 2.492e-02, eta: 11:09:41, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7294, top5_acc: 0.9738, loss_cls: 1.2592, loss: 1.2592 2023-12-13 12:46:13,832 - pyskl - INFO - Epoch [6][800/1281] lr: 2.491e-02, eta: 11:09:10, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7188, top5_acc: 0.9731, loss_cls: 1.2345, loss: 1.2345 2023-12-13 12:46:35,323 - pyskl - INFO - Epoch [6][900/1281] lr: 2.491e-02, eta: 11:08:42, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.7181, top5_acc: 0.9756, loss_cls: 1.2266, loss: 1.2266 2023-12-13 12:46:56,614 - pyskl - INFO - Epoch [6][1000/1281] lr: 2.491e-02, eta: 11:08:10, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7125, top5_acc: 0.9719, loss_cls: 1.2881, loss: 1.2881 2023-12-13 12:47:17,892 - pyskl - INFO - Epoch [6][1100/1281] lr: 2.491e-02, eta: 11:07:38, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7256, top5_acc: 0.9731, loss_cls: 1.2446, loss: 1.2446 2023-12-13 12:47:39,336 - pyskl - INFO - Epoch [6][1200/1281] lr: 2.490e-02, eta: 11:07:10, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.7338, top5_acc: 0.9731, loss_cls: 1.2251, loss: 1.2251 2023-12-13 12:47:57,453 - pyskl - INFO - Saving checkpoint at 6 epochs 2023-12-13 12:48:41,476 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 12:48:41,544 - pyskl - INFO - top1_acc 0.7053 top5_acc 0.9678 2023-12-13 12:48:41,544 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 12:48:41,552 - pyskl - INFO - mean_acc 0.5886 2023-12-13 12:48:41,558 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_5.pth was removed 2023-12-13 12:48:41,839 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. 2023-12-13 12:48:41,839 - pyskl - INFO - Best top1_acc is 0.7053 at 6 epoch. 2023-12-13 12:48:41,843 - pyskl - INFO - Epoch(val) [6][533] top1_acc: 0.7053, top5_acc: 0.9678, mean_class_accuracy: 0.5886 2023-12-13 12:49:21,762 - pyskl - INFO - Epoch [7][100/1281] lr: 2.490e-02, eta: 11:06:46, time: 0.399, data_time: 0.189, memory: 4120, top1_acc: 0.7281, top5_acc: 0.9806, loss_cls: 1.1757, loss: 1.1757 2023-12-13 12:49:43,104 - pyskl - INFO - Epoch [7][200/1281] lr: 2.490e-02, eta: 11:06:16, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7288, top5_acc: 0.9812, loss_cls: 1.1614, loss: 1.1614 2023-12-13 12:50:04,299 - pyskl - INFO - Epoch [7][300/1281] lr: 2.489e-02, eta: 11:05:43, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.7362, top5_acc: 0.9800, loss_cls: 1.2129, loss: 1.2129 2023-12-13 12:50:25,630 - pyskl - INFO - Epoch [7][400/1281] lr: 2.489e-02, eta: 11:05:13, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7169, top5_acc: 0.9775, loss_cls: 1.1957, loss: 1.1957 2023-12-13 12:50:47,035 - pyskl - INFO - Epoch [7][500/1281] lr: 2.489e-02, eta: 11:04:45, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.7456, top5_acc: 0.9806, loss_cls: 1.1405, loss: 1.1405 2023-12-13 12:51:08,459 - pyskl - INFO - Epoch [7][600/1281] lr: 2.489e-02, eta: 11:04:18, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.7375, top5_acc: 0.9806, loss_cls: 1.1495, loss: 1.1495 2023-12-13 12:51:29,946 - pyskl - INFO - Epoch [7][700/1281] lr: 2.488e-02, eta: 11:03:52, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.7394, top5_acc: 0.9806, loss_cls: 1.1634, loss: 1.1634 2023-12-13 12:51:51,326 - pyskl - INFO - Epoch [7][800/1281] lr: 2.488e-02, eta: 11:03:24, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.7269, top5_acc: 0.9794, loss_cls: 1.1966, loss: 1.1966 2023-12-13 12:52:12,761 - pyskl - INFO - Epoch [7][900/1281] lr: 2.488e-02, eta: 11:02:57, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.7256, top5_acc: 0.9694, loss_cls: 1.2391, loss: 1.2391 2023-12-13 12:52:34,333 - pyskl - INFO - Epoch [7][1000/1281] lr: 2.487e-02, eta: 11:02:33, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.7494, top5_acc: 0.9888, loss_cls: 1.0477, loss: 1.0477 2023-12-13 12:52:55,553 - pyskl - INFO - Epoch [7][1100/1281] lr: 2.487e-02, eta: 11:02:02, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.7488, top5_acc: 0.9725, loss_cls: 1.1850, loss: 1.1850 2023-12-13 12:53:16,793 - pyskl - INFO - Epoch [7][1200/1281] lr: 2.487e-02, eta: 11:01:32, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.7438, top5_acc: 0.9706, loss_cls: 1.1851, loss: 1.1851 2023-12-13 12:53:34,855 - pyskl - INFO - Saving checkpoint at 7 epochs 2023-12-13 12:54:19,121 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 12:54:19,182 - pyskl - INFO - top1_acc 0.7092 top5_acc 0.9690 2023-12-13 12:54:19,182 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 12:54:19,194 - pyskl - INFO - mean_acc 0.6068 2023-12-13 12:54:19,200 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_6.pth was removed 2023-12-13 12:54:19,571 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. 2023-12-13 12:54:19,572 - pyskl - INFO - Best top1_acc is 0.7092 at 7 epoch. 2023-12-13 12:54:19,575 - pyskl - INFO - Epoch(val) [7][533] top1_acc: 0.7092, top5_acc: 0.9690, mean_class_accuracy: 0.6068 2023-12-13 12:54:59,438 - pyskl - INFO - Epoch [8][100/1281] lr: 2.486e-02, eta: 11:01:06, time: 0.399, data_time: 0.185, memory: 4120, top1_acc: 0.7525, top5_acc: 0.9806, loss_cls: 1.1122, loss: 1.1122 2023-12-13 12:55:20,700 - pyskl - INFO - Epoch [8][200/1281] lr: 2.486e-02, eta: 11:00:36, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7681, top5_acc: 0.9831, loss_cls: 1.0425, loss: 1.0425 2023-12-13 12:55:41,853 - pyskl - INFO - Epoch [8][300/1281] lr: 2.486e-02, eta: 11:00:04, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.7638, top5_acc: 0.9862, loss_cls: 1.0127, loss: 1.0127 2023-12-13 12:56:03,208 - pyskl - INFO - Epoch [8][400/1281] lr: 2.485e-02, eta: 10:59:37, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.7575, top5_acc: 0.9831, loss_cls: 1.0639, loss: 1.0639 2023-12-13 12:56:24,612 - pyskl - INFO - Epoch [8][500/1281] lr: 2.485e-02, eta: 10:59:10, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.7406, top5_acc: 0.9762, loss_cls: 1.1692, loss: 1.1692 2023-12-13 12:56:45,944 - pyskl - INFO - Epoch [8][600/1281] lr: 2.485e-02, eta: 10:58:43, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.7606, top5_acc: 0.9762, loss_cls: 1.1056, loss: 1.1056 2023-12-13 12:57:07,532 - pyskl - INFO - Epoch [8][700/1281] lr: 2.484e-02, eta: 10:58:20, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.7725, top5_acc: 0.9869, loss_cls: 1.0390, loss: 1.0390 2023-12-13 12:57:28,857 - pyskl - INFO - Epoch [8][800/1281] lr: 2.484e-02, eta: 10:57:52, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7738, top5_acc: 0.9850, loss_cls: 1.0449, loss: 1.0449 2023-12-13 12:57:49,891 - pyskl - INFO - Epoch [8][900/1281] lr: 2.484e-02, eta: 10:57:19, time: 0.210, data_time: 0.000, memory: 4120, top1_acc: 0.7775, top5_acc: 0.9838, loss_cls: 1.0100, loss: 1.0100 2023-12-13 12:58:11,137 - pyskl - INFO - Epoch [8][1000/1281] lr: 2.483e-02, eta: 10:56:50, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.7700, top5_acc: 0.9825, loss_cls: 1.0444, loss: 1.0444 2023-12-13 12:58:32,697 - pyskl - INFO - Epoch [8][1100/1281] lr: 2.483e-02, eta: 10:56:28, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.7544, top5_acc: 0.9794, loss_cls: 1.0906, loss: 1.0906 2023-12-13 12:58:53,989 - pyskl - INFO - Epoch [8][1200/1281] lr: 2.483e-02, eta: 10:56:00, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7288, top5_acc: 0.9781, loss_cls: 1.1503, loss: 1.1503 2023-12-13 12:59:12,084 - pyskl - INFO - Saving checkpoint at 8 epochs 2023-12-13 12:59:56,414 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 12:59:56,478 - pyskl - INFO - top1_acc 0.7460 top5_acc 0.9774 2023-12-13 12:59:56,478 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 12:59:56,487 - pyskl - INFO - mean_acc 0.6525 2023-12-13 12:59:56,491 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_7.pth was removed 2023-12-13 12:59:56,694 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. 2023-12-13 12:59:56,694 - pyskl - INFO - Best top1_acc is 0.7460 at 8 epoch. 2023-12-13 12:59:56,697 - pyskl - INFO - Epoch(val) [8][533] top1_acc: 0.7460, top5_acc: 0.9774, mean_class_accuracy: 0.6525 2023-12-13 13:00:36,780 - pyskl - INFO - Epoch [9][100/1281] lr: 2.482e-02, eta: 10:55:37, time: 0.401, data_time: 0.189, memory: 4120, top1_acc: 0.7638, top5_acc: 0.9812, loss_cls: 1.0547, loss: 1.0547 2023-12-13 13:00:58,062 - pyskl - INFO - Epoch [9][200/1281] lr: 2.482e-02, eta: 10:55:09, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.7762, top5_acc: 0.9825, loss_cls: 0.9654, loss: 0.9654 2023-12-13 13:01:19,404 - pyskl - INFO - Epoch [9][300/1281] lr: 2.481e-02, eta: 10:54:42, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7656, top5_acc: 0.9894, loss_cls: 0.9841, loss: 0.9841 2023-12-13 13:01:40,597 - pyskl - INFO - Epoch [9][400/1281] lr: 2.481e-02, eta: 10:54:13, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.7556, top5_acc: 0.9862, loss_cls: 1.0512, loss: 1.0512 2023-12-13 13:02:01,955 - pyskl - INFO - Epoch [9][500/1281] lr: 2.481e-02, eta: 10:53:47, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.7669, top5_acc: 0.9800, loss_cls: 1.0472, loss: 1.0472 2023-12-13 13:02:23,288 - pyskl - INFO - Epoch [9][600/1281] lr: 2.480e-02, eta: 10:53:21, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7531, top5_acc: 0.9831, loss_cls: 1.0994, loss: 1.0994 2023-12-13 13:02:44,596 - pyskl - INFO - Epoch [9][700/1281] lr: 2.480e-02, eta: 10:52:54, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7788, top5_acc: 0.9862, loss_cls: 0.9315, loss: 0.9315 2023-12-13 13:03:05,701 - pyskl - INFO - Epoch [9][800/1281] lr: 2.480e-02, eta: 10:52:24, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.7575, top5_acc: 0.9919, loss_cls: 0.9838, loss: 0.9838 2023-12-13 13:03:26,803 - pyskl - INFO - Epoch [9][900/1281] lr: 2.479e-02, eta: 10:51:54, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.7544, top5_acc: 0.9831, loss_cls: 1.0665, loss: 1.0665 2023-12-13 13:03:47,952 - pyskl - INFO - Epoch [9][1000/1281] lr: 2.479e-02, eta: 10:51:25, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.7625, top5_acc: 0.9862, loss_cls: 1.0237, loss: 1.0237 2023-12-13 13:04:09,266 - pyskl - INFO - Epoch [9][1100/1281] lr: 2.479e-02, eta: 10:50:58, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7750, top5_acc: 0.9831, loss_cls: 1.0143, loss: 1.0143 2023-12-13 13:04:30,692 - pyskl - INFO - Epoch [9][1200/1281] lr: 2.478e-02, eta: 10:50:34, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8025, top5_acc: 0.9831, loss_cls: 0.9225, loss: 0.9225 2023-12-13 13:04:48,634 - pyskl - INFO - Saving checkpoint at 9 epochs 2023-12-13 13:05:33,305 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 13:05:33,367 - pyskl - INFO - top1_acc 0.7034 top5_acc 0.9655 2023-12-13 13:05:33,368 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 13:05:33,374 - pyskl - INFO - mean_acc 0.6077 2023-12-13 13:05:33,376 - pyskl - INFO - Epoch(val) [9][533] top1_acc: 0.7034, top5_acc: 0.9655, mean_class_accuracy: 0.6077 2023-12-13 13:06:13,297 - pyskl - INFO - Epoch [10][100/1281] lr: 2.477e-02, eta: 10:50:08, time: 0.399, data_time: 0.185, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9894, loss_cls: 0.9539, loss: 0.9539 2023-12-13 13:06:34,599 - pyskl - INFO - Epoch [10][200/1281] lr: 2.477e-02, eta: 10:49:41, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7425, top5_acc: 0.9775, loss_cls: 1.1333, loss: 1.1333 2023-12-13 13:06:55,673 - pyskl - INFO - Epoch [10][300/1281] lr: 2.477e-02, eta: 10:49:12, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9881, loss_cls: 0.9244, loss: 0.9244 2023-12-13 13:07:16,976 - pyskl - INFO - Epoch [10][400/1281] lr: 2.476e-02, eta: 10:48:45, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7606, top5_acc: 0.9856, loss_cls: 1.0634, loss: 1.0634 2023-12-13 13:07:38,348 - pyskl - INFO - Epoch [10][500/1281] lr: 2.476e-02, eta: 10:48:20, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.7769, top5_acc: 0.9875, loss_cls: 0.9470, loss: 0.9470 2023-12-13 13:07:59,876 - pyskl - INFO - Epoch [10][600/1281] lr: 2.476e-02, eta: 10:47:58, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.7806, top5_acc: 0.9900, loss_cls: 0.9613, loss: 0.9613 2023-12-13 13:08:21,241 - pyskl - INFO - Epoch [10][700/1281] lr: 2.475e-02, eta: 10:47:33, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.7875, top5_acc: 0.9900, loss_cls: 0.9432, loss: 0.9432 2023-12-13 13:08:42,491 - pyskl - INFO - Epoch [10][800/1281] lr: 2.475e-02, eta: 10:47:06, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.7631, top5_acc: 0.9825, loss_cls: 1.0211, loss: 1.0211 2023-12-13 13:09:03,679 - pyskl - INFO - Epoch [10][900/1281] lr: 2.474e-02, eta: 10:46:39, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.7850, top5_acc: 0.9869, loss_cls: 0.9391, loss: 0.9391 2023-12-13 13:09:24,893 - pyskl - INFO - Epoch [10][1000/1281] lr: 2.474e-02, eta: 10:46:12, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.7644, top5_acc: 0.9862, loss_cls: 1.0155, loss: 1.0155 2023-12-13 13:09:46,337 - pyskl - INFO - Epoch [10][1100/1281] lr: 2.473e-02, eta: 10:45:48, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.7719, top5_acc: 0.9856, loss_cls: 0.9868, loss: 0.9868 2023-12-13 13:10:07,662 - pyskl - INFO - Epoch [10][1200/1281] lr: 2.473e-02, eta: 10:45:23, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.7781, top5_acc: 0.9875, loss_cls: 0.9929, loss: 0.9929 2023-12-13 13:10:25,898 - pyskl - INFO - Saving checkpoint at 10 epochs 2023-12-13 13:11:09,829 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 13:11:09,888 - pyskl - INFO - top1_acc 0.6876 top5_acc 0.9499 2023-12-13 13:11:09,888 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 13:11:09,895 - pyskl - INFO - mean_acc 0.6013 2023-12-13 13:11:09,896 - pyskl - INFO - Epoch(val) [10][533] top1_acc: 0.6876, top5_acc: 0.9499, mean_class_accuracy: 0.6013 2023-12-13 13:11:50,055 - pyskl - INFO - Epoch [11][100/1281] lr: 2.472e-02, eta: 10:44:59, time: 0.402, data_time: 0.190, memory: 4120, top1_acc: 0.7925, top5_acc: 0.9862, loss_cls: 0.9165, loss: 0.9165 2023-12-13 13:12:11,498 - pyskl - INFO - Epoch [11][200/1281] lr: 2.472e-02, eta: 10:44:35, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9925, loss_cls: 0.8709, loss: 0.8709 2023-12-13 13:12:33,066 - pyskl - INFO - Epoch [11][300/1281] lr: 2.471e-02, eta: 10:44:13, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.7963, top5_acc: 0.9806, loss_cls: 0.9195, loss: 0.9195 2023-12-13 13:12:54,306 - pyskl - INFO - Epoch [11][400/1281] lr: 2.471e-02, eta: 10:43:47, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.7925, top5_acc: 0.9831, loss_cls: 0.9465, loss: 0.9465 2023-12-13 13:13:15,735 - pyskl - INFO - Epoch [11][500/1281] lr: 2.471e-02, eta: 10:43:23, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.7906, top5_acc: 0.9869, loss_cls: 0.9082, loss: 0.9082 2023-12-13 13:13:36,883 - pyskl - INFO - Epoch [11][600/1281] lr: 2.470e-02, eta: 10:42:56, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8056, top5_acc: 0.9862, loss_cls: 0.9249, loss: 0.9249 2023-12-13 13:13:58,130 - pyskl - INFO - Epoch [11][700/1281] lr: 2.470e-02, eta: 10:42:30, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8031, top5_acc: 0.9888, loss_cls: 0.9020, loss: 0.9020 2023-12-13 13:14:19,416 - pyskl - INFO - Epoch [11][800/1281] lr: 2.469e-02, eta: 10:42:04, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7969, top5_acc: 0.9875, loss_cls: 0.9081, loss: 0.9081 2023-12-13 13:14:40,353 - pyskl - INFO - Epoch [11][900/1281] lr: 2.469e-02, eta: 10:41:34, time: 0.209, data_time: 0.000, memory: 4120, top1_acc: 0.7881, top5_acc: 0.9794, loss_cls: 0.9682, loss: 0.9682 2023-12-13 13:15:01,512 - pyskl - INFO - Epoch [11][1000/1281] lr: 2.468e-02, eta: 10:41:07, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.7925, top5_acc: 0.9831, loss_cls: 0.9209, loss: 0.9209 2023-12-13 13:15:22,735 - pyskl - INFO - Epoch [11][1100/1281] lr: 2.468e-02, eta: 10:40:41, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.7800, top5_acc: 0.9844, loss_cls: 0.9665, loss: 0.9665 2023-12-13 13:15:44,022 - pyskl - INFO - Epoch [11][1200/1281] lr: 2.467e-02, eta: 10:40:16, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7681, top5_acc: 0.9875, loss_cls: 0.9691, loss: 0.9691 2023-12-13 13:16:01,966 - pyskl - INFO - Saving checkpoint at 11 epochs 2023-12-13 13:16:46,151 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 13:16:46,213 - pyskl - INFO - top1_acc 0.7291 top5_acc 0.9717 2023-12-13 13:16:46,213 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 13:16:46,221 - pyskl - INFO - mean_acc 0.6435 2023-12-13 13:16:46,224 - pyskl - INFO - Epoch(val) [11][533] top1_acc: 0.7291, top5_acc: 0.9717, mean_class_accuracy: 0.6435 2023-12-13 13:17:26,957 - pyskl - INFO - Epoch [12][100/1281] lr: 2.467e-02, eta: 10:39:58, time: 0.407, data_time: 0.194, memory: 4120, top1_acc: 0.8019, top5_acc: 0.9894, loss_cls: 0.8536, loss: 0.8536 2023-12-13 13:17:48,192 - pyskl - INFO - Epoch [12][200/1281] lr: 2.466e-02, eta: 10:39:33, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.7913, top5_acc: 0.9894, loss_cls: 0.9025, loss: 0.9025 2023-12-13 13:18:09,487 - pyskl - INFO - Epoch [12][300/1281] lr: 2.466e-02, eta: 10:39:07, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9838, loss_cls: 0.9211, loss: 0.9211 2023-12-13 13:18:30,487 - pyskl - INFO - Epoch [12][400/1281] lr: 2.465e-02, eta: 10:38:39, time: 0.210, data_time: 0.000, memory: 4120, top1_acc: 0.7900, top5_acc: 0.9862, loss_cls: 0.9427, loss: 0.9427 2023-12-13 13:18:51,826 - pyskl - INFO - Epoch [12][500/1281] lr: 2.465e-02, eta: 10:38:14, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.7738, top5_acc: 0.9831, loss_cls: 0.9785, loss: 0.9785 2023-12-13 13:19:13,162 - pyskl - INFO - Epoch [12][600/1281] lr: 2.464e-02, eta: 10:37:50, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8063, top5_acc: 0.9894, loss_cls: 0.8794, loss: 0.8794 2023-12-13 13:19:34,542 - pyskl - INFO - Epoch [12][700/1281] lr: 2.464e-02, eta: 10:37:26, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8075, top5_acc: 0.9862, loss_cls: 0.8723, loss: 0.8723 2023-12-13 13:19:55,829 - pyskl - INFO - Epoch [12][800/1281] lr: 2.463e-02, eta: 10:37:01, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.7875, top5_acc: 0.9862, loss_cls: 0.9636, loss: 0.9636 2023-12-13 13:20:17,099 - pyskl - INFO - Epoch [12][900/1281] lr: 2.463e-02, eta: 10:36:36, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9869, loss_cls: 0.9025, loss: 0.9025 2023-12-13 13:20:38,509 - pyskl - INFO - Epoch [12][1000/1281] lr: 2.462e-02, eta: 10:36:13, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.7856, top5_acc: 0.9938, loss_cls: 0.9171, loss: 0.9171 2023-12-13 13:20:59,703 - pyskl - INFO - Epoch [12][1100/1281] lr: 2.462e-02, eta: 10:35:47, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8056, top5_acc: 0.9888, loss_cls: 0.8553, loss: 0.8553 2023-12-13 13:21:21,040 - pyskl - INFO - Epoch [12][1200/1281] lr: 2.461e-02, eta: 10:35:23, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9875, loss_cls: 0.8937, loss: 0.8937 2023-12-13 13:21:39,411 - pyskl - INFO - Saving checkpoint at 12 epochs 2023-12-13 13:22:23,984 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 13:22:24,057 - pyskl - INFO - top1_acc 0.7872 top5_acc 0.9862 2023-12-13 13:22:24,057 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 13:22:24,066 - pyskl - INFO - mean_acc 0.6933 2023-12-13 13:22:24,071 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_8.pth was removed 2023-12-13 13:22:24,304 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. 2023-12-13 13:22:24,304 - pyskl - INFO - Best top1_acc is 0.7872 at 12 epoch. 2023-12-13 13:22:24,307 - pyskl - INFO - Epoch(val) [12][533] top1_acc: 0.7872, top5_acc: 0.9862, mean_class_accuracy: 0.6933 2023-12-13 13:23:04,093 - pyskl - INFO - Epoch [13][100/1281] lr: 2.460e-02, eta: 10:34:53, time: 0.398, data_time: 0.182, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9900, loss_cls: 0.8295, loss: 0.8295 2023-12-13 13:23:25,420 - pyskl - INFO - Epoch [13][200/1281] lr: 2.460e-02, eta: 10:34:29, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9894, loss_cls: 0.8599, loss: 0.8599 2023-12-13 13:23:46,678 - pyskl - INFO - Epoch [13][300/1281] lr: 2.459e-02, eta: 10:34:04, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7863, top5_acc: 0.9856, loss_cls: 0.9258, loss: 0.9258 2023-12-13 13:24:08,252 - pyskl - INFO - Epoch [13][400/1281] lr: 2.459e-02, eta: 10:33:42, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.8044, top5_acc: 0.9881, loss_cls: 0.8396, loss: 0.8396 2023-12-13 13:24:29,551 - pyskl - INFO - Epoch [13][500/1281] lr: 2.458e-02, eta: 10:33:18, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8187, top5_acc: 0.9944, loss_cls: 0.8610, loss: 0.8610 2023-12-13 13:24:50,776 - pyskl - INFO - Epoch [13][600/1281] lr: 2.458e-02, eta: 10:32:53, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8194, top5_acc: 0.9888, loss_cls: 0.8634, loss: 0.8634 2023-12-13 13:25:11,909 - pyskl - INFO - Epoch [13][700/1281] lr: 2.457e-02, eta: 10:32:26, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.8100, top5_acc: 0.9912, loss_cls: 0.8672, loss: 0.8672 2023-12-13 13:25:33,089 - pyskl - INFO - Epoch [13][800/1281] lr: 2.457e-02, eta: 10:32:01, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.7975, top5_acc: 0.9844, loss_cls: 0.9160, loss: 0.9160 2023-12-13 13:25:54,125 - pyskl - INFO - Epoch [13][900/1281] lr: 2.456e-02, eta: 10:31:34, time: 0.210, data_time: 0.000, memory: 4120, top1_acc: 0.8119, top5_acc: 0.9894, loss_cls: 0.8186, loss: 0.8186 2023-12-13 13:26:15,371 - pyskl - INFO - Epoch [13][1000/1281] lr: 2.455e-02, eta: 10:31:09, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8144, top5_acc: 0.9906, loss_cls: 0.8207, loss: 0.8207 2023-12-13 13:26:36,783 - pyskl - INFO - Epoch [13][1100/1281] lr: 2.455e-02, eta: 10:30:46, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9869, loss_cls: 0.8628, loss: 0.8628 2023-12-13 13:26:58,181 - pyskl - INFO - Epoch [13][1200/1281] lr: 2.454e-02, eta: 10:30:23, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.7994, top5_acc: 0.9906, loss_cls: 0.8492, loss: 0.8492 2023-12-13 13:27:16,410 - pyskl - INFO - Saving checkpoint at 13 epochs 2023-12-13 13:28:00,706 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 13:28:00,772 - pyskl - INFO - top1_acc 0.7902 top5_acc 0.9837 2023-12-13 13:28:00,772 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 13:28:00,783 - pyskl - INFO - mean_acc 0.6996 2023-12-13 13:28:00,787 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_12.pth was removed 2023-12-13 13:28:01,027 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. 2023-12-13 13:28:01,027 - pyskl - INFO - Best top1_acc is 0.7902 at 13 epoch. 2023-12-13 13:28:01,030 - pyskl - INFO - Epoch(val) [13][533] top1_acc: 0.7902, top5_acc: 0.9837, mean_class_accuracy: 0.6996 2023-12-13 13:28:41,012 - pyskl - INFO - Epoch [14][100/1281] lr: 2.453e-02, eta: 10:29:54, time: 0.400, data_time: 0.188, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9919, loss_cls: 0.7536, loss: 0.7536 2023-12-13 13:29:02,109 - pyskl - INFO - Epoch [14][200/1281] lr: 2.453e-02, eta: 10:29:28, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9856, loss_cls: 0.7925, loss: 0.7925 2023-12-13 13:29:23,301 - pyskl - INFO - Epoch [14][300/1281] lr: 2.452e-02, eta: 10:29:03, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.7950, top5_acc: 0.9850, loss_cls: 0.8950, loss: 0.8950 2023-12-13 13:29:44,650 - pyskl - INFO - Epoch [14][400/1281] lr: 2.452e-02, eta: 10:28:39, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9844, loss_cls: 0.9281, loss: 0.9281 2023-12-13 13:30:06,046 - pyskl - INFO - Epoch [14][500/1281] lr: 2.451e-02, eta: 10:28:16, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9919, loss_cls: 0.8038, loss: 0.8038 2023-12-13 13:30:27,376 - pyskl - INFO - Epoch [14][600/1281] lr: 2.451e-02, eta: 10:27:52, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9894, loss_cls: 0.8003, loss: 0.8003 2023-12-13 13:30:48,566 - pyskl - INFO - Epoch [14][700/1281] lr: 2.450e-02, eta: 10:27:27, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8013, top5_acc: 0.9888, loss_cls: 0.8679, loss: 0.8679 2023-12-13 13:31:09,773 - pyskl - INFO - Epoch [14][800/1281] lr: 2.449e-02, eta: 10:27:02, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9919, loss_cls: 0.7829, loss: 0.7829 2023-12-13 13:31:31,068 - pyskl - INFO - Epoch [14][900/1281] lr: 2.449e-02, eta: 10:26:39, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9925, loss_cls: 0.7549, loss: 0.7549 2023-12-13 13:31:52,486 - pyskl - INFO - Epoch [14][1000/1281] lr: 2.448e-02, eta: 10:26:16, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8150, top5_acc: 0.9888, loss_cls: 0.8467, loss: 0.8467 2023-12-13 13:32:13,964 - pyskl - INFO - Epoch [14][1100/1281] lr: 2.448e-02, eta: 10:25:54, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9931, loss_cls: 0.7940, loss: 0.7940 2023-12-13 13:32:35,445 - pyskl - INFO - Epoch [14][1200/1281] lr: 2.447e-02, eta: 10:25:32, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9900, loss_cls: 0.8471, loss: 0.8471 2023-12-13 13:32:53,590 - pyskl - INFO - Saving checkpoint at 14 epochs 2023-12-13 13:33:37,826 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 13:33:37,908 - pyskl - INFO - top1_acc 0.7539 top5_acc 0.9777 2023-12-13 13:33:37,908 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 13:33:37,918 - pyskl - INFO - mean_acc 0.6517 2023-12-13 13:33:37,921 - pyskl - INFO - Epoch(val) [14][533] top1_acc: 0.7539, top5_acc: 0.9777, mean_class_accuracy: 0.6517 2023-12-13 13:34:17,321 - pyskl - INFO - Epoch [15][100/1281] lr: 2.446e-02, eta: 10:24:57, time: 0.394, data_time: 0.182, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9919, loss_cls: 0.7626, loss: 0.7626 2023-12-13 13:34:38,678 - pyskl - INFO - Epoch [15][200/1281] lr: 2.445e-02, eta: 10:24:33, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9906, loss_cls: 0.7581, loss: 0.7581 2023-12-13 13:35:00,075 - pyskl - INFO - Epoch [15][300/1281] lr: 2.445e-02, eta: 10:24:11, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9906, loss_cls: 0.8097, loss: 0.8097 2023-12-13 13:35:21,364 - pyskl - INFO - Epoch [15][400/1281] lr: 2.444e-02, eta: 10:23:47, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8144, top5_acc: 0.9838, loss_cls: 0.8513, loss: 0.8513 2023-12-13 13:35:42,635 - pyskl - INFO - Epoch [15][500/1281] lr: 2.444e-02, eta: 10:23:23, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9925, loss_cls: 0.7633, loss: 0.7633 2023-12-13 13:36:04,151 - pyskl - INFO - Epoch [15][600/1281] lr: 2.443e-02, eta: 10:23:01, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.8206, top5_acc: 0.9881, loss_cls: 0.8073, loss: 0.8073 2023-12-13 13:36:25,296 - pyskl - INFO - Epoch [15][700/1281] lr: 2.442e-02, eta: 10:22:36, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8206, top5_acc: 0.9900, loss_cls: 0.7845, loss: 0.7845 2023-12-13 13:36:46,708 - pyskl - INFO - Epoch [15][800/1281] lr: 2.442e-02, eta: 10:22:13, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8187, top5_acc: 0.9919, loss_cls: 0.7909, loss: 0.7909 2023-12-13 13:37:07,891 - pyskl - INFO - Epoch [15][900/1281] lr: 2.441e-02, eta: 10:21:49, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9862, loss_cls: 0.8575, loss: 0.8575 2023-12-13 13:37:29,261 - pyskl - INFO - Epoch [15][1000/1281] lr: 2.441e-02, eta: 10:21:26, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8144, top5_acc: 0.9919, loss_cls: 0.8279, loss: 0.8279 2023-12-13 13:37:50,606 - pyskl - INFO - Epoch [15][1100/1281] lr: 2.440e-02, eta: 10:21:02, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9894, loss_cls: 0.8204, loss: 0.8204 2023-12-13 13:38:12,048 - pyskl - INFO - Epoch [15][1200/1281] lr: 2.439e-02, eta: 10:20:40, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9944, loss_cls: 0.8003, loss: 0.8003 2023-12-13 13:38:29,956 - pyskl - INFO - Saving checkpoint at 15 epochs 2023-12-13 13:39:14,303 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 13:39:14,360 - pyskl - INFO - top1_acc 0.7730 top5_acc 0.9850 2023-12-13 13:39:14,361 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 13:39:14,369 - pyskl - INFO - mean_acc 0.6966 2023-12-13 13:39:14,372 - pyskl - INFO - Epoch(val) [15][533] top1_acc: 0.7730, top5_acc: 0.9850, mean_class_accuracy: 0.6966 2023-12-13 13:39:54,167 - pyskl - INFO - Epoch [16][100/1281] lr: 2.438e-02, eta: 10:20:09, time: 0.398, data_time: 0.186, memory: 4120, top1_acc: 0.8150, top5_acc: 0.9944, loss_cls: 0.8072, loss: 0.8072 2023-12-13 13:40:15,604 - pyskl - INFO - Epoch [16][200/1281] lr: 2.438e-02, eta: 10:19:46, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9931, loss_cls: 0.7392, loss: 0.7392 2023-12-13 13:40:36,998 - pyskl - INFO - Epoch [16][300/1281] lr: 2.437e-02, eta: 10:19:24, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8169, top5_acc: 0.9912, loss_cls: 0.7952, loss: 0.7952 2023-12-13 13:40:58,455 - pyskl - INFO - Epoch [16][400/1281] lr: 2.436e-02, eta: 10:19:01, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.8000, top5_acc: 0.9875, loss_cls: 0.8841, loss: 0.8841 2023-12-13 13:41:19,544 - pyskl - INFO - Epoch [16][500/1281] lr: 2.436e-02, eta: 10:18:36, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9912, loss_cls: 0.7917, loss: 0.7917 2023-12-13 13:41:40,812 - pyskl - INFO - Epoch [16][600/1281] lr: 2.435e-02, eta: 10:18:12, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9900, loss_cls: 0.8358, loss: 0.8358 2023-12-13 13:42:02,112 - pyskl - INFO - Epoch [16][700/1281] lr: 2.434e-02, eta: 10:17:49, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8400, top5_acc: 0.9944, loss_cls: 0.7203, loss: 0.7203 2023-12-13 13:42:23,421 - pyskl - INFO - Epoch [16][800/1281] lr: 2.434e-02, eta: 10:17:25, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9919, loss_cls: 0.7434, loss: 0.7434 2023-12-13 13:42:44,776 - pyskl - INFO - Epoch [16][900/1281] lr: 2.433e-02, eta: 10:17:02, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9838, loss_cls: 0.8392, loss: 0.8392 2023-12-13 13:43:06,112 - pyskl - INFO - Epoch [16][1000/1281] lr: 2.432e-02, eta: 10:16:39, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9906, loss_cls: 0.7925, loss: 0.7925 2023-12-13 13:43:27,608 - pyskl - INFO - Epoch [16][1100/1281] lr: 2.432e-02, eta: 10:16:18, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9912, loss_cls: 0.7717, loss: 0.7717 2023-12-13 13:43:48,921 - pyskl - INFO - Epoch [16][1200/1281] lr: 2.431e-02, eta: 10:15:54, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8275, top5_acc: 0.9900, loss_cls: 0.7826, loss: 0.7826 2023-12-13 13:44:07,074 - pyskl - INFO - Saving checkpoint at 16 epochs 2023-12-13 13:44:51,901 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 13:44:51,985 - pyskl - INFO - top1_acc 0.7863 top5_acc 0.9842 2023-12-13 13:44:51,985 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 13:44:51,993 - pyskl - INFO - mean_acc 0.7019 2023-12-13 13:44:51,996 - pyskl - INFO - Epoch(val) [16][533] top1_acc: 0.7863, top5_acc: 0.9842, mean_class_accuracy: 0.7019 2023-12-13 13:45:32,159 - pyskl - INFO - Epoch [17][100/1281] lr: 2.430e-02, eta: 10:15:25, time: 0.402, data_time: 0.191, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9938, loss_cls: 0.7343, loss: 0.7343 2023-12-13 13:45:53,486 - pyskl - INFO - Epoch [17][200/1281] lr: 2.429e-02, eta: 10:15:02, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9944, loss_cls: 0.7387, loss: 0.7387 2023-12-13 13:46:15,105 - pyskl - INFO - Epoch [17][300/1281] lr: 2.428e-02, eta: 10:14:42, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9944, loss_cls: 0.7599, loss: 0.7599 2023-12-13 13:46:36,547 - pyskl - INFO - Epoch [17][400/1281] lr: 2.428e-02, eta: 10:14:19, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9925, loss_cls: 0.7355, loss: 0.7355 2023-12-13 13:46:57,762 - pyskl - INFO - Epoch [17][500/1281] lr: 2.427e-02, eta: 10:13:55, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9894, loss_cls: 0.7880, loss: 0.7880 2023-12-13 13:47:18,892 - pyskl - INFO - Epoch [17][600/1281] lr: 2.426e-02, eta: 10:13:31, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9919, loss_cls: 0.7898, loss: 0.7898 2023-12-13 13:47:40,158 - pyskl - INFO - Epoch [17][700/1281] lr: 2.426e-02, eta: 10:13:07, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9875, loss_cls: 0.7764, loss: 0.7764 2023-12-13 13:48:01,563 - pyskl - INFO - Epoch [17][800/1281] lr: 2.425e-02, eta: 10:12:45, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8163, top5_acc: 0.9906, loss_cls: 0.8173, loss: 0.8173 2023-12-13 13:48:22,720 - pyskl - INFO - Epoch [17][900/1281] lr: 2.424e-02, eta: 10:12:20, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9875, loss_cls: 0.8105, loss: 0.8105 2023-12-13 13:48:44,010 - pyskl - INFO - Epoch [17][1000/1281] lr: 2.424e-02, eta: 10:11:57, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8219, top5_acc: 0.9912, loss_cls: 0.7699, loss: 0.7699 2023-12-13 13:49:05,118 - pyskl - INFO - Epoch [17][1100/1281] lr: 2.423e-02, eta: 10:11:32, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9912, loss_cls: 0.7781, loss: 0.7781 2023-12-13 13:49:26,564 - pyskl - INFO - Epoch [17][1200/1281] lr: 2.422e-02, eta: 10:11:10, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8225, top5_acc: 0.9875, loss_cls: 0.8401, loss: 0.8401 2023-12-13 13:49:44,708 - pyskl - INFO - Saving checkpoint at 17 epochs 2023-12-13 13:50:29,166 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 13:50:29,228 - pyskl - INFO - top1_acc 0.7846 top5_acc 0.9804 2023-12-13 13:50:29,228 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 13:50:29,240 - pyskl - INFO - mean_acc 0.7031 2023-12-13 13:50:29,244 - pyskl - INFO - Epoch(val) [17][533] top1_acc: 0.7846, top5_acc: 0.9804, mean_class_accuracy: 0.7031 2023-12-13 13:51:09,496 - pyskl - INFO - Epoch [18][100/1281] lr: 2.421e-02, eta: 10:10:41, time: 0.402, data_time: 0.189, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9950, loss_cls: 0.7566, loss: 0.7566 2023-12-13 13:51:30,717 - pyskl - INFO - Epoch [18][200/1281] lr: 2.420e-02, eta: 10:10:17, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9931, loss_cls: 0.6842, loss: 0.6842 2023-12-13 13:51:51,928 - pyskl - INFO - Epoch [18][300/1281] lr: 2.419e-02, eta: 10:09:54, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9906, loss_cls: 0.7570, loss: 0.7570 2023-12-13 13:52:13,307 - pyskl - INFO - Epoch [18][400/1281] lr: 2.419e-02, eta: 10:09:31, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9950, loss_cls: 0.7194, loss: 0.7194 2023-12-13 13:52:34,697 - pyskl - INFO - Epoch [18][500/1281] lr: 2.418e-02, eta: 10:09:08, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8400, top5_acc: 0.9912, loss_cls: 0.7404, loss: 0.7404 2023-12-13 13:52:56,016 - pyskl - INFO - Epoch [18][600/1281] lr: 2.417e-02, eta: 10:08:45, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9919, loss_cls: 0.7692, loss: 0.7692 2023-12-13 13:53:17,255 - pyskl - INFO - Epoch [18][700/1281] lr: 2.417e-02, eta: 10:08:22, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8219, top5_acc: 0.9919, loss_cls: 0.7896, loss: 0.7896 2023-12-13 13:53:38,480 - pyskl - INFO - Epoch [18][800/1281] lr: 2.416e-02, eta: 10:07:58, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9900, loss_cls: 0.7303, loss: 0.7303 2023-12-13 13:53:59,794 - pyskl - INFO - Epoch [18][900/1281] lr: 2.415e-02, eta: 10:07:35, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9938, loss_cls: 0.7125, loss: 0.7125 2023-12-13 13:54:21,007 - pyskl - INFO - Epoch [18][1000/1281] lr: 2.414e-02, eta: 10:07:11, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9938, loss_cls: 0.7030, loss: 0.7030 2023-12-13 13:54:42,070 - pyskl - INFO - Epoch [18][1100/1281] lr: 2.414e-02, eta: 10:06:47, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9881, loss_cls: 0.7434, loss: 0.7434 2023-12-13 13:55:03,264 - pyskl - INFO - Epoch [18][1200/1281] lr: 2.413e-02, eta: 10:06:23, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9912, loss_cls: 0.7400, loss: 0.7400 2023-12-13 13:55:21,339 - pyskl - INFO - Saving checkpoint at 18 epochs 2023-12-13 13:56:06,090 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 13:56:06,180 - pyskl - INFO - top1_acc 0.8153 top5_acc 0.9844 2023-12-13 13:56:06,180 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 13:56:06,203 - pyskl - INFO - mean_acc 0.7470 2023-12-13 13:56:06,213 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_13.pth was removed 2023-12-13 13:56:06,511 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. 2023-12-13 13:56:06,512 - pyskl - INFO - Best top1_acc is 0.8153 at 18 epoch. 2023-12-13 13:56:06,516 - pyskl - INFO - Epoch(val) [18][533] top1_acc: 0.8153, top5_acc: 0.9844, mean_class_accuracy: 0.7470 2023-12-13 13:56:47,374 - pyskl - INFO - Epoch [19][100/1281] lr: 2.411e-02, eta: 10:05:58, time: 0.409, data_time: 0.194, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9925, loss_cls: 0.7377, loss: 0.7377 2023-12-13 13:57:08,470 - pyskl - INFO - Epoch [19][200/1281] lr: 2.411e-02, eta: 10:05:33, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9938, loss_cls: 0.7022, loss: 0.7022 2023-12-13 13:57:29,790 - pyskl - INFO - Epoch [19][300/1281] lr: 2.410e-02, eta: 10:05:10, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9925, loss_cls: 0.7139, loss: 0.7139 2023-12-13 13:57:51,025 - pyskl - INFO - Epoch [19][400/1281] lr: 2.409e-02, eta: 10:04:47, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9919, loss_cls: 0.7569, loss: 0.7569 2023-12-13 13:58:12,111 - pyskl - INFO - Epoch [19][500/1281] lr: 2.408e-02, eta: 10:04:22, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9944, loss_cls: 0.6924, loss: 0.6924 2023-12-13 13:58:33,367 - pyskl - INFO - Epoch [19][600/1281] lr: 2.408e-02, eta: 10:03:59, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9881, loss_cls: 0.7912, loss: 0.7912 2023-12-13 13:58:54,530 - pyskl - INFO - Epoch [19][700/1281] lr: 2.407e-02, eta: 10:03:35, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9894, loss_cls: 0.7734, loss: 0.7734 2023-12-13 13:59:15,981 - pyskl - INFO - Epoch [19][800/1281] lr: 2.406e-02, eta: 10:03:13, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9944, loss_cls: 0.7754, loss: 0.7754 2023-12-13 13:59:37,455 - pyskl - INFO - Epoch [19][900/1281] lr: 2.405e-02, eta: 10:02:51, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9931, loss_cls: 0.7157, loss: 0.7157 2023-12-13 13:59:58,671 - pyskl - INFO - Epoch [19][1000/1281] lr: 2.405e-02, eta: 10:02:28, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9944, loss_cls: 0.7039, loss: 0.7039 2023-12-13 14:00:20,036 - pyskl - INFO - Epoch [19][1100/1281] lr: 2.404e-02, eta: 10:02:05, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9888, loss_cls: 0.7641, loss: 0.7641 2023-12-13 14:00:41,234 - pyskl - INFO - Epoch [19][1200/1281] lr: 2.403e-02, eta: 10:01:42, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9931, loss_cls: 0.7548, loss: 0.7548 2023-12-13 14:00:59,405 - pyskl - INFO - Saving checkpoint at 19 epochs 2023-12-13 14:01:43,821 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 14:01:43,878 - pyskl - INFO - top1_acc 0.7899 top5_acc 0.9858 2023-12-13 14:01:43,879 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 14:01:43,885 - pyskl - INFO - mean_acc 0.7064 2023-12-13 14:01:43,887 - pyskl - INFO - Epoch(val) [19][533] top1_acc: 0.7899, top5_acc: 0.9858, mean_class_accuracy: 0.7064 2023-12-13 14:02:23,403 - pyskl - INFO - Epoch [20][100/1281] lr: 2.402e-02, eta: 10:01:07, time: 0.395, data_time: 0.184, memory: 4120, top1_acc: 0.8500, top5_acc: 0.9900, loss_cls: 0.6872, loss: 0.6872 2023-12-13 14:02:44,552 - pyskl - INFO - Epoch [20][200/1281] lr: 2.401e-02, eta: 10:00:43, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9938, loss_cls: 0.6696, loss: 0.6696 2023-12-13 14:03:06,054 - pyskl - INFO - Epoch [20][300/1281] lr: 2.400e-02, eta: 10:00:21, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9900, loss_cls: 0.7324, loss: 0.7324 2023-12-13 14:03:27,321 - pyskl - INFO - Epoch [20][400/1281] lr: 2.399e-02, eta: 9:59:58, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9906, loss_cls: 0.7430, loss: 0.7430 2023-12-13 14:03:48,438 - pyskl - INFO - Epoch [20][500/1281] lr: 2.398e-02, eta: 9:59:34, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9931, loss_cls: 0.7168, loss: 0.7168 2023-12-13 14:04:09,828 - pyskl - INFO - Epoch [20][600/1281] lr: 2.398e-02, eta: 9:59:12, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9944, loss_cls: 0.6281, loss: 0.6281 2023-12-13 14:04:31,177 - pyskl - INFO - Epoch [20][700/1281] lr: 2.397e-02, eta: 9:58:49, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9925, loss_cls: 0.6779, loss: 0.6779 2023-12-13 14:04:52,411 - pyskl - INFO - Epoch [20][800/1281] lr: 2.396e-02, eta: 9:58:26, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9931, loss_cls: 0.8281, loss: 0.8281 2023-12-13 14:05:13,816 - pyskl - INFO - Epoch [20][900/1281] lr: 2.395e-02, eta: 9:58:04, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9888, loss_cls: 0.7470, loss: 0.7470 2023-12-13 14:05:35,024 - pyskl - INFO - Epoch [20][1000/1281] lr: 2.394e-02, eta: 9:57:41, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9881, loss_cls: 0.7951, loss: 0.7951 2023-12-13 14:05:56,602 - pyskl - INFO - Epoch [20][1100/1281] lr: 2.393e-02, eta: 9:57:20, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.8500, top5_acc: 0.9925, loss_cls: 0.6783, loss: 0.6783 2023-12-13 14:06:17,908 - pyskl - INFO - Epoch [20][1200/1281] lr: 2.393e-02, eta: 9:56:57, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9944, loss_cls: 0.6801, loss: 0.6801 2023-12-13 14:06:35,984 - pyskl - INFO - Saving checkpoint at 20 epochs 2023-12-13 14:07:20,606 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 14:07:20,670 - pyskl - INFO - top1_acc 0.8012 top5_acc 0.9812 2023-12-13 14:07:20,670 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 14:07:20,678 - pyskl - INFO - mean_acc 0.7197 2023-12-13 14:07:20,681 - pyskl - INFO - Epoch(val) [20][533] top1_acc: 0.8012, top5_acc: 0.9812, mean_class_accuracy: 0.7197 2023-12-13 14:08:00,795 - pyskl - INFO - Epoch [21][100/1281] lr: 2.391e-02, eta: 9:56:26, time: 0.401, data_time: 0.188, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9912, loss_cls: 0.6583, loss: 0.6583 2023-12-13 14:08:21,985 - pyskl - INFO - Epoch [21][200/1281] lr: 2.390e-02, eta: 9:56:02, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9919, loss_cls: 0.6353, loss: 0.6353 2023-12-13 14:08:43,236 - pyskl - INFO - Epoch [21][300/1281] lr: 2.389e-02, eta: 9:55:39, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9962, loss_cls: 0.6370, loss: 0.6370 2023-12-13 14:09:04,254 - pyskl - INFO - Epoch [21][400/1281] lr: 2.389e-02, eta: 9:55:14, time: 0.210, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9931, loss_cls: 0.6523, loss: 0.6523 2023-12-13 14:09:25,501 - pyskl - INFO - Epoch [21][500/1281] lr: 2.388e-02, eta: 9:54:51, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9869, loss_cls: 0.7568, loss: 0.7568 2023-12-13 14:09:46,887 - pyskl - INFO - Epoch [21][600/1281] lr: 2.387e-02, eta: 9:54:29, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9950, loss_cls: 0.7272, loss: 0.7272 2023-12-13 14:10:08,207 - pyskl - INFO - Epoch [21][700/1281] lr: 2.386e-02, eta: 9:54:06, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9925, loss_cls: 0.6764, loss: 0.6764 2023-12-13 14:10:29,567 - pyskl - INFO - Epoch [21][800/1281] lr: 2.385e-02, eta: 9:53:44, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9956, loss_cls: 0.6725, loss: 0.6725 2023-12-13 14:10:50,796 - pyskl - INFO - Epoch [21][900/1281] lr: 2.384e-02, eta: 9:53:21, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9938, loss_cls: 0.7433, loss: 0.7433 2023-12-13 14:11:11,962 - pyskl - INFO - Epoch [21][1000/1281] lr: 2.383e-02, eta: 9:52:57, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9956, loss_cls: 0.6630, loss: 0.6630 2023-12-13 14:11:33,622 - pyskl - INFO - Epoch [21][1100/1281] lr: 2.383e-02, eta: 9:52:37, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9919, loss_cls: 0.6898, loss: 0.6898 2023-12-13 14:11:55,651 - pyskl - INFO - Epoch [21][1200/1281] lr: 2.382e-02, eta: 9:52:19, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9950, loss_cls: 0.6472, loss: 0.6472 2023-12-13 14:12:14,615 - pyskl - INFO - Saving checkpoint at 21 epochs 2023-12-13 14:13:01,612 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 14:13:01,686 - pyskl - INFO - top1_acc 0.8329 top5_acc 0.9879 2023-12-13 14:13:01,686 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 14:13:01,698 - pyskl - INFO - mean_acc 0.7590 2023-12-13 14:13:01,707 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_18.pth was removed 2023-12-13 14:13:01,928 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. 2023-12-13 14:13:01,928 - pyskl - INFO - Best top1_acc is 0.8329 at 21 epoch. 2023-12-13 14:13:01,931 - pyskl - INFO - Epoch(val) [21][533] top1_acc: 0.8329, top5_acc: 0.9879, mean_class_accuracy: 0.7590 2023-12-13 14:13:44,429 - pyskl - INFO - Epoch [22][100/1281] lr: 2.380e-02, eta: 9:52:02, time: 0.425, data_time: 0.203, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9919, loss_cls: 0.7276, loss: 0.7276 2023-12-13 14:14:06,428 - pyskl - INFO - Epoch [22][200/1281] lr: 2.379e-02, eta: 9:51:43, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9925, loss_cls: 0.6443, loss: 0.6443 2023-12-13 14:14:28,559 - pyskl - INFO - Epoch [22][300/1281] lr: 2.378e-02, eta: 9:51:25, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9950, loss_cls: 0.6520, loss: 0.6520 2023-12-13 14:14:50,595 - pyskl - INFO - Epoch [22][400/1281] lr: 2.378e-02, eta: 9:51:07, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9931, loss_cls: 0.6911, loss: 0.6911 2023-12-13 14:15:11,795 - pyskl - INFO - Epoch [22][500/1281] lr: 2.377e-02, eta: 9:50:44, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9912, loss_cls: 0.7091, loss: 0.7091 2023-12-13 14:15:33,005 - pyskl - INFO - Epoch [22][600/1281] lr: 2.376e-02, eta: 9:50:20, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9962, loss_cls: 0.6484, loss: 0.6484 2023-12-13 14:15:54,053 - pyskl - INFO - Epoch [22][700/1281] lr: 2.375e-02, eta: 9:49:56, time: 0.210, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9925, loss_cls: 0.6511, loss: 0.6511 2023-12-13 14:16:14,876 - pyskl - INFO - Epoch [22][800/1281] lr: 2.374e-02, eta: 9:49:30, time: 0.208, data_time: 0.000, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9919, loss_cls: 0.7112, loss: 0.7112 2023-12-13 14:16:36,461 - pyskl - INFO - Epoch [22][900/1281] lr: 2.373e-02, eta: 9:49:09, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9919, loss_cls: 0.7505, loss: 0.7505 2023-12-13 14:16:57,813 - pyskl - INFO - Epoch [22][1000/1281] lr: 2.372e-02, eta: 9:48:47, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9919, loss_cls: 0.6748, loss: 0.6748 2023-12-13 14:17:19,157 - pyskl - INFO - Epoch [22][1100/1281] lr: 2.371e-02, eta: 9:48:24, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9950, loss_cls: 0.6881, loss: 0.6881 2023-12-13 14:17:40,594 - pyskl - INFO - Epoch [22][1200/1281] lr: 2.370e-02, eta: 9:48:03, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9925, loss_cls: 0.6594, loss: 0.6594 2023-12-13 14:17:58,513 - pyskl - INFO - Saving checkpoint at 22 epochs 2023-12-13 14:18:42,594 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 14:18:42,664 - pyskl - INFO - top1_acc 0.8250 top5_acc 0.9896 2023-12-13 14:18:42,664 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 14:18:42,672 - pyskl - INFO - mean_acc 0.7692 2023-12-13 14:18:42,674 - pyskl - INFO - Epoch(val) [22][533] top1_acc: 0.8250, top5_acc: 0.9896, mean_class_accuracy: 0.7692 2023-12-13 14:19:22,605 - pyskl - INFO - Epoch [23][100/1281] lr: 2.369e-02, eta: 9:47:29, time: 0.399, data_time: 0.188, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9962, loss_cls: 0.6784, loss: 0.6784 2023-12-13 14:19:44,151 - pyskl - INFO - Epoch [23][200/1281] lr: 2.368e-02, eta: 9:47:08, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9925, loss_cls: 0.6400, loss: 0.6400 2023-12-13 14:20:05,627 - pyskl - INFO - Epoch [23][300/1281] lr: 2.367e-02, eta: 9:46:46, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9912, loss_cls: 0.6495, loss: 0.6495 2023-12-13 14:20:26,838 - pyskl - INFO - Epoch [23][400/1281] lr: 2.366e-02, eta: 9:46:23, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9938, loss_cls: 0.6758, loss: 0.6758 2023-12-13 14:20:48,134 - pyskl - INFO - Epoch [23][500/1281] lr: 2.365e-02, eta: 9:46:00, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9931, loss_cls: 0.6870, loss: 0.6870 2023-12-13 14:21:09,407 - pyskl - INFO - Epoch [23][600/1281] lr: 2.364e-02, eta: 9:45:38, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9919, loss_cls: 0.6903, loss: 0.6903 2023-12-13 14:21:30,741 - pyskl - INFO - Epoch [23][700/1281] lr: 2.363e-02, eta: 9:45:15, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9931, loss_cls: 0.6324, loss: 0.6324 2023-12-13 14:21:51,882 - pyskl - INFO - Epoch [23][800/1281] lr: 2.362e-02, eta: 9:44:51, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9931, loss_cls: 0.6782, loss: 0.6782 2023-12-13 14:22:13,282 - pyskl - INFO - Epoch [23][900/1281] lr: 2.361e-02, eta: 9:44:29, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9956, loss_cls: 0.6546, loss: 0.6546 2023-12-13 14:22:34,558 - pyskl - INFO - Epoch [23][1000/1281] lr: 2.360e-02, eta: 9:44:07, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9931, loss_cls: 0.6979, loss: 0.6979 2023-12-13 14:22:55,778 - pyskl - INFO - Epoch [23][1100/1281] lr: 2.359e-02, eta: 9:43:43, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9931, loss_cls: 0.6775, loss: 0.6775 2023-12-13 14:23:16,944 - pyskl - INFO - Epoch [23][1200/1281] lr: 2.359e-02, eta: 9:43:20, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9919, loss_cls: 0.6680, loss: 0.6680 2023-12-13 14:23:34,876 - pyskl - INFO - Saving checkpoint at 23 epochs 2023-12-13 14:24:19,642 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 14:24:19,729 - pyskl - INFO - top1_acc 0.8261 top5_acc 0.9867 2023-12-13 14:24:19,729 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 14:24:19,738 - pyskl - INFO - mean_acc 0.7673 2023-12-13 14:24:19,741 - pyskl - INFO - Epoch(val) [23][533] top1_acc: 0.8261, top5_acc: 0.9867, mean_class_accuracy: 0.7673 2023-12-13 14:24:59,995 - pyskl - INFO - Epoch [24][100/1281] lr: 2.357e-02, eta: 9:42:48, time: 0.402, data_time: 0.189, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9900, loss_cls: 0.6559, loss: 0.6559 2023-12-13 14:25:21,193 - pyskl - INFO - Epoch [24][200/1281] lr: 2.356e-02, eta: 9:42:25, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9956, loss_cls: 0.6405, loss: 0.6405 2023-12-13 14:25:42,409 - pyskl - INFO - Epoch [24][300/1281] lr: 2.355e-02, eta: 9:42:02, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9950, loss_cls: 0.6416, loss: 0.6416 2023-12-13 14:26:03,333 - pyskl - INFO - Epoch [24][400/1281] lr: 2.354e-02, eta: 9:41:37, time: 0.209, data_time: 0.000, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9938, loss_cls: 0.6661, loss: 0.6661 2023-12-13 14:26:24,638 - pyskl - INFO - Epoch [24][500/1281] lr: 2.353e-02, eta: 9:41:15, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9931, loss_cls: 0.6676, loss: 0.6676 2023-12-13 14:26:45,837 - pyskl - INFO - Epoch [24][600/1281] lr: 2.352e-02, eta: 9:40:52, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9919, loss_cls: 0.7175, loss: 0.7175 2023-12-13 14:27:07,078 - pyskl - INFO - Epoch [24][700/1281] lr: 2.351e-02, eta: 9:40:29, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9925, loss_cls: 0.6546, loss: 0.6546 2023-12-13 14:27:28,601 - pyskl - INFO - Epoch [24][800/1281] lr: 2.350e-02, eta: 9:40:07, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9956, loss_cls: 0.6134, loss: 0.6134 2023-12-13 14:27:49,789 - pyskl - INFO - Epoch [24][900/1281] lr: 2.349e-02, eta: 9:39:44, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9931, loss_cls: 0.6332, loss: 0.6332 2023-12-13 14:28:11,080 - pyskl - INFO - Epoch [24][1000/1281] lr: 2.348e-02, eta: 9:39:22, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9925, loss_cls: 0.6941, loss: 0.6941 2023-12-13 14:28:32,333 - pyskl - INFO - Epoch [24][1100/1281] lr: 2.347e-02, eta: 9:38:59, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9956, loss_cls: 0.6338, loss: 0.6338 2023-12-13 14:28:53,692 - pyskl - INFO - Epoch [24][1200/1281] lr: 2.346e-02, eta: 9:38:37, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9919, loss_cls: 0.6782, loss: 0.6782 2023-12-13 14:29:11,513 - pyskl - INFO - Saving checkpoint at 24 epochs 2023-12-13 14:29:55,349 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 14:29:55,406 - pyskl - INFO - top1_acc 0.8253 top5_acc 0.9872 2023-12-13 14:29:55,406 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 14:29:55,414 - pyskl - INFO - mean_acc 0.7685 2023-12-13 14:29:55,416 - pyskl - INFO - Epoch(val) [24][533] top1_acc: 0.8253, top5_acc: 0.9872, mean_class_accuracy: 0.7685 2023-12-13 14:30:35,373 - pyskl - INFO - Epoch [25][100/1281] lr: 2.344e-02, eta: 9:38:03, time: 0.399, data_time: 0.186, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9962, loss_cls: 0.6033, loss: 0.6033 2023-12-13 14:30:57,146 - pyskl - INFO - Epoch [25][200/1281] lr: 2.343e-02, eta: 9:37:43, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9969, loss_cls: 0.5924, loss: 0.5924 2023-12-13 14:31:19,148 - pyskl - INFO - Epoch [25][300/1281] lr: 2.342e-02, eta: 9:37:24, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9950, loss_cls: 0.5989, loss: 0.5989 2023-12-13 14:31:41,470 - pyskl - INFO - Epoch [25][400/1281] lr: 2.341e-02, eta: 9:37:07, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9931, loss_cls: 0.5886, loss: 0.5886 2023-12-13 14:32:03,602 - pyskl - INFO - Epoch [25][500/1281] lr: 2.340e-02, eta: 9:36:48, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9938, loss_cls: 0.6314, loss: 0.6314 2023-12-13 14:32:25,707 - pyskl - INFO - Epoch [25][600/1281] lr: 2.339e-02, eta: 9:36:30, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9938, loss_cls: 0.7049, loss: 0.7049 2023-12-13 14:32:47,675 - pyskl - INFO - Epoch [25][700/1281] lr: 2.338e-02, eta: 9:36:11, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9912, loss_cls: 0.6558, loss: 0.6558 2023-12-13 14:33:10,017 - pyskl - INFO - Epoch [25][800/1281] lr: 2.337e-02, eta: 9:35:54, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9894, loss_cls: 0.6731, loss: 0.6731 2023-12-13 14:33:32,393 - pyskl - INFO - Epoch [25][900/1281] lr: 2.336e-02, eta: 9:35:36, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9944, loss_cls: 0.6773, loss: 0.6773 2023-12-13 14:33:53,590 - pyskl - INFO - Epoch [25][1000/1281] lr: 2.335e-02, eta: 9:35:13, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9919, loss_cls: 0.7270, loss: 0.7270 2023-12-13 14:34:14,762 - pyskl - INFO - Epoch [25][1100/1281] lr: 2.334e-02, eta: 9:34:50, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9931, loss_cls: 0.6324, loss: 0.6324 2023-12-13 14:34:36,004 - pyskl - INFO - Epoch [25][1200/1281] lr: 2.333e-02, eta: 9:34:27, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9944, loss_cls: 0.6680, loss: 0.6680 2023-12-13 14:34:53,922 - pyskl - INFO - Saving checkpoint at 25 epochs 2023-12-13 14:35:37,837 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 14:35:37,912 - pyskl - INFO - top1_acc 0.8398 top5_acc 0.9901 2023-12-13 14:35:37,912 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 14:35:37,925 - pyskl - INFO - mean_acc 0.7927 2023-12-13 14:35:37,932 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_21.pth was removed 2023-12-13 14:35:38,152 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. 2023-12-13 14:35:38,152 - pyskl - INFO - Best top1_acc is 0.8398 at 25 epoch. 2023-12-13 14:35:38,155 - pyskl - INFO - Epoch(val) [25][533] top1_acc: 0.8398, top5_acc: 0.9901, mean_class_accuracy: 0.7927 2023-12-13 14:36:18,419 - pyskl - INFO - Epoch [26][100/1281] lr: 2.332e-02, eta: 9:33:55, time: 0.403, data_time: 0.189, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9956, loss_cls: 0.5385, loss: 0.5385 2023-12-13 14:36:39,763 - pyskl - INFO - Epoch [26][200/1281] lr: 2.330e-02, eta: 9:33:32, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9931, loss_cls: 0.6482, loss: 0.6482 2023-12-13 14:37:01,192 - pyskl - INFO - Epoch [26][300/1281] lr: 2.329e-02, eta: 9:33:10, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9931, loss_cls: 0.6399, loss: 0.6399 2023-12-13 14:37:22,321 - pyskl - INFO - Epoch [26][400/1281] lr: 2.328e-02, eta: 9:32:47, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9981, loss_cls: 0.6248, loss: 0.6248 2023-12-13 14:37:43,494 - pyskl - INFO - Epoch [26][500/1281] lr: 2.327e-02, eta: 9:32:24, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9950, loss_cls: 0.5667, loss: 0.5667 2023-12-13 14:38:04,880 - pyskl - INFO - Epoch [26][600/1281] lr: 2.326e-02, eta: 9:32:02, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9938, loss_cls: 0.6655, loss: 0.6655 2023-12-13 14:38:26,069 - pyskl - INFO - Epoch [26][700/1281] lr: 2.325e-02, eta: 9:31:38, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9981, loss_cls: 0.6028, loss: 0.6028 2023-12-13 14:38:47,376 - pyskl - INFO - Epoch [26][800/1281] lr: 2.324e-02, eta: 9:31:16, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9919, loss_cls: 0.6726, loss: 0.6726 2023-12-13 14:39:08,923 - pyskl - INFO - Epoch [26][900/1281] lr: 2.323e-02, eta: 9:30:55, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9944, loss_cls: 0.5991, loss: 0.5991 2023-12-13 14:39:30,455 - pyskl - INFO - Epoch [26][1000/1281] lr: 2.322e-02, eta: 9:30:33, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9912, loss_cls: 0.6757, loss: 0.6757 2023-12-13 14:39:51,686 - pyskl - INFO - Epoch [26][1100/1281] lr: 2.321e-02, eta: 9:30:10, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9938, loss_cls: 0.6641, loss: 0.6641 2023-12-13 14:40:14,011 - pyskl - INFO - Epoch [26][1200/1281] lr: 2.320e-02, eta: 9:29:53, time: 0.223, data_time: 0.000, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9919, loss_cls: 0.6542, loss: 0.6542 2023-12-13 14:40:32,912 - pyskl - INFO - Saving checkpoint at 26 epochs 2023-12-13 14:41:20,853 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 14:41:20,910 - pyskl - INFO - top1_acc 0.8316 top5_acc 0.9884 2023-12-13 14:41:20,910 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 14:41:20,917 - pyskl - INFO - mean_acc 0.7707 2023-12-13 14:41:20,919 - pyskl - INFO - Epoch(val) [26][533] top1_acc: 0.8316, top5_acc: 0.9884, mean_class_accuracy: 0.7707 2023-12-13 14:42:04,521 - pyskl - INFO - Epoch [27][100/1281] lr: 2.318e-02, eta: 9:29:36, time: 0.436, data_time: 0.210, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9931, loss_cls: 0.6042, loss: 0.6042 2023-12-13 14:42:26,962 - pyskl - INFO - Epoch [27][200/1281] lr: 2.317e-02, eta: 9:29:19, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9962, loss_cls: 0.5948, loss: 0.5948 2023-12-13 14:42:49,400 - pyskl - INFO - Epoch [27][300/1281] lr: 2.316e-02, eta: 9:29:01, time: 0.224, data_time: 0.000, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9938, loss_cls: 0.5820, loss: 0.5820 2023-12-13 14:43:10,578 - pyskl - INFO - Epoch [27][400/1281] lr: 2.315e-02, eta: 9:28:38, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9900, loss_cls: 0.6905, loss: 0.6905 2023-12-13 14:43:31,860 - pyskl - INFO - Epoch [27][500/1281] lr: 2.314e-02, eta: 9:28:15, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9944, loss_cls: 0.5882, loss: 0.5882 2023-12-13 14:43:53,126 - pyskl - INFO - Epoch [27][600/1281] lr: 2.313e-02, eta: 9:27:53, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9938, loss_cls: 0.6105, loss: 0.6105 2023-12-13 14:44:14,346 - pyskl - INFO - Epoch [27][700/1281] lr: 2.312e-02, eta: 9:27:30, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9956, loss_cls: 0.6182, loss: 0.6182 2023-12-13 14:44:35,642 - pyskl - INFO - Epoch [27][800/1281] lr: 2.311e-02, eta: 9:27:07, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9919, loss_cls: 0.7087, loss: 0.7087 2023-12-13 14:44:56,812 - pyskl - INFO - Epoch [27][900/1281] lr: 2.310e-02, eta: 9:26:44, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9950, loss_cls: 0.6111, loss: 0.6111 2023-12-13 14:45:18,118 - pyskl - INFO - Epoch [27][1000/1281] lr: 2.308e-02, eta: 9:26:21, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9981, loss_cls: 0.5425, loss: 0.5425 2023-12-13 14:45:39,351 - pyskl - INFO - Epoch [27][1100/1281] lr: 2.307e-02, eta: 9:25:58, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9925, loss_cls: 0.5775, loss: 0.5775 2023-12-13 14:46:00,542 - pyskl - INFO - Epoch [27][1200/1281] lr: 2.306e-02, eta: 9:25:35, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9975, loss_cls: 0.6003, loss: 0.6003 2023-12-13 14:46:18,595 - pyskl - INFO - Saving checkpoint at 27 epochs 2023-12-13 14:47:03,038 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 14:47:03,108 - pyskl - INFO - top1_acc 0.8372 top5_acc 0.9906 2023-12-13 14:47:03,108 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 14:47:03,115 - pyskl - INFO - mean_acc 0.7707 2023-12-13 14:47:03,117 - pyskl - INFO - Epoch(val) [27][533] top1_acc: 0.8372, top5_acc: 0.9906, mean_class_accuracy: 0.7707 2023-12-13 14:47:43,700 - pyskl - INFO - Epoch [28][100/1281] lr: 2.304e-02, eta: 9:25:04, time: 0.406, data_time: 0.193, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9956, loss_cls: 0.5708, loss: 0.5708 2023-12-13 14:48:05,090 - pyskl - INFO - Epoch [28][200/1281] lr: 2.303e-02, eta: 9:24:41, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9956, loss_cls: 0.6037, loss: 0.6037 2023-12-13 14:48:26,394 - pyskl - INFO - Epoch [28][300/1281] lr: 2.302e-02, eta: 9:24:19, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9938, loss_cls: 0.6102, loss: 0.6102 2023-12-13 14:48:47,494 - pyskl - INFO - Epoch [28][400/1281] lr: 2.301e-02, eta: 9:23:55, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9956, loss_cls: 0.5805, loss: 0.5805 2023-12-13 14:49:08,777 - pyskl - INFO - Epoch [28][500/1281] lr: 2.300e-02, eta: 9:23:33, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9938, loss_cls: 0.5464, loss: 0.5464 2023-12-13 14:49:29,988 - pyskl - INFO - Epoch [28][600/1281] lr: 2.299e-02, eta: 9:23:10, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9944, loss_cls: 0.6080, loss: 0.6080 2023-12-13 14:49:51,422 - pyskl - INFO - Epoch [28][700/1281] lr: 2.298e-02, eta: 9:22:48, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9944, loss_cls: 0.6739, loss: 0.6739 2023-12-13 14:50:12,729 - pyskl - INFO - Epoch [28][800/1281] lr: 2.297e-02, eta: 9:22:25, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9938, loss_cls: 0.6300, loss: 0.6300 2023-12-13 14:50:34,182 - pyskl - INFO - Epoch [28][900/1281] lr: 2.295e-02, eta: 9:22:04, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9956, loss_cls: 0.6202, loss: 0.6202 2023-12-13 14:50:55,534 - pyskl - INFO - Epoch [28][1000/1281] lr: 2.294e-02, eta: 9:21:41, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9950, loss_cls: 0.6351, loss: 0.6351 2023-12-13 14:51:16,950 - pyskl - INFO - Epoch [28][1100/1281] lr: 2.293e-02, eta: 9:21:19, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9894, loss_cls: 0.7217, loss: 0.7217 2023-12-13 14:51:38,217 - pyskl - INFO - Epoch [28][1200/1281] lr: 2.292e-02, eta: 9:20:57, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9950, loss_cls: 0.6606, loss: 0.6606 2023-12-13 14:51:56,359 - pyskl - INFO - Saving checkpoint at 28 epochs 2023-12-13 14:52:40,569 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 14:52:40,658 - pyskl - INFO - top1_acc 0.8289 top5_acc 0.9862 2023-12-13 14:52:40,658 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 14:52:40,672 - pyskl - INFO - mean_acc 0.7859 2023-12-13 14:52:40,677 - pyskl - INFO - Epoch(val) [28][533] top1_acc: 0.8289, top5_acc: 0.9862, mean_class_accuracy: 0.7859 2023-12-13 14:53:21,204 - pyskl - INFO - Epoch [29][100/1281] lr: 2.290e-02, eta: 9:20:24, time: 0.405, data_time: 0.193, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9969, loss_cls: 0.5168, loss: 0.5168 2023-12-13 14:53:42,350 - pyskl - INFO - Epoch [29][200/1281] lr: 2.289e-02, eta: 9:20:01, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9950, loss_cls: 0.5956, loss: 0.5956 2023-12-13 14:54:03,667 - pyskl - INFO - Epoch [29][300/1281] lr: 2.288e-02, eta: 9:19:39, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9925, loss_cls: 0.6114, loss: 0.6114 2023-12-13 14:54:24,877 - pyskl - INFO - Epoch [29][400/1281] lr: 2.287e-02, eta: 9:19:16, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9925, loss_cls: 0.5559, loss: 0.5559 2023-12-13 14:54:46,179 - pyskl - INFO - Epoch [29][500/1281] lr: 2.285e-02, eta: 9:18:53, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9919, loss_cls: 0.6357, loss: 0.6357 2023-12-13 14:55:07,278 - pyskl - INFO - Epoch [29][600/1281] lr: 2.284e-02, eta: 9:18:30, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9919, loss_cls: 0.6416, loss: 0.6416 2023-12-13 14:55:28,774 - pyskl - INFO - Epoch [29][700/1281] lr: 2.283e-02, eta: 9:18:08, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9912, loss_cls: 0.5917, loss: 0.5917 2023-12-13 14:55:49,869 - pyskl - INFO - Epoch [29][800/1281] lr: 2.282e-02, eta: 9:17:45, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9969, loss_cls: 0.5773, loss: 0.5773 2023-12-13 14:56:11,172 - pyskl - INFO - Epoch [29][900/1281] lr: 2.281e-02, eta: 9:17:22, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9950, loss_cls: 0.6153, loss: 0.6153 2023-12-13 14:56:32,601 - pyskl - INFO - Epoch [29][1000/1281] lr: 2.280e-02, eta: 9:17:01, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9938, loss_cls: 0.5699, loss: 0.5699 2023-12-13 14:56:53,773 - pyskl - INFO - Epoch [29][1100/1281] lr: 2.279e-02, eta: 9:16:38, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9919, loss_cls: 0.6117, loss: 0.6117 2023-12-13 14:57:15,003 - pyskl - INFO - Epoch [29][1200/1281] lr: 2.277e-02, eta: 9:16:15, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9969, loss_cls: 0.6224, loss: 0.6224 2023-12-13 14:57:32,963 - pyskl - INFO - Saving checkpoint at 29 epochs 2023-12-13 14:58:17,438 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 14:58:17,507 - pyskl - INFO - top1_acc 0.8366 top5_acc 0.9892 2023-12-13 14:58:17,507 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 14:58:17,518 - pyskl - INFO - mean_acc 0.7670 2023-12-13 14:58:17,522 - pyskl - INFO - Epoch(val) [29][533] top1_acc: 0.8366, top5_acc: 0.9892, mean_class_accuracy: 0.7670 2023-12-13 14:58:57,527 - pyskl - INFO - Epoch [30][100/1281] lr: 2.275e-02, eta: 9:15:40, time: 0.400, data_time: 0.187, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9975, loss_cls: 0.5808, loss: 0.5808 2023-12-13 14:59:18,828 - pyskl - INFO - Epoch [30][200/1281] lr: 2.274e-02, eta: 9:15:18, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9938, loss_cls: 0.6057, loss: 0.6057 2023-12-13 14:59:40,121 - pyskl - INFO - Epoch [30][300/1281] lr: 2.273e-02, eta: 9:14:55, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9956, loss_cls: 0.5505, loss: 0.5505 2023-12-13 15:00:01,554 - pyskl - INFO - Epoch [30][400/1281] lr: 2.272e-02, eta: 9:14:33, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9919, loss_cls: 0.6379, loss: 0.6379 2023-12-13 15:00:22,823 - pyskl - INFO - Epoch [30][500/1281] lr: 2.271e-02, eta: 9:14:11, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9944, loss_cls: 0.6033, loss: 0.6033 2023-12-13 15:00:44,024 - pyskl - INFO - Epoch [30][600/1281] lr: 2.269e-02, eta: 9:13:48, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9944, loss_cls: 0.5745, loss: 0.5745 2023-12-13 15:01:05,351 - pyskl - INFO - Epoch [30][700/1281] lr: 2.268e-02, eta: 9:13:26, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9938, loss_cls: 0.6282, loss: 0.6282 2023-12-13 15:01:26,581 - pyskl - INFO - Epoch [30][800/1281] lr: 2.267e-02, eta: 9:13:03, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9931, loss_cls: 0.6574, loss: 0.6574 2023-12-13 15:01:48,106 - pyskl - INFO - Epoch [30][900/1281] lr: 2.266e-02, eta: 9:12:41, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9944, loss_cls: 0.5795, loss: 0.5795 2023-12-13 15:02:09,121 - pyskl - INFO - Epoch [30][1000/1281] lr: 2.265e-02, eta: 9:12:18, time: 0.210, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9950, loss_cls: 0.5516, loss: 0.5516 2023-12-13 15:02:30,322 - pyskl - INFO - Epoch [30][1100/1281] lr: 2.263e-02, eta: 9:11:55, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9956, loss_cls: 0.6107, loss: 0.6107 2023-12-13 15:02:51,697 - pyskl - INFO - Epoch [30][1200/1281] lr: 2.262e-02, eta: 9:11:33, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9944, loss_cls: 0.6446, loss: 0.6446 2023-12-13 15:03:09,864 - pyskl - INFO - Saving checkpoint at 30 epochs 2023-12-13 15:03:56,892 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 15:03:56,954 - pyskl - INFO - top1_acc 0.8477 top5_acc 0.9910 2023-12-13 15:03:56,955 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 15:03:56,962 - pyskl - INFO - mean_acc 0.7961 2023-12-13 15:03:56,966 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_25.pth was removed 2023-12-13 15:03:57,251 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. 2023-12-13 15:03:57,251 - pyskl - INFO - Best top1_acc is 0.8477 at 30 epoch. 2023-12-13 15:03:57,254 - pyskl - INFO - Epoch(val) [30][533] top1_acc: 0.8477, top5_acc: 0.9910, mean_class_accuracy: 0.7961 2023-12-13 15:04:40,459 - pyskl - INFO - Epoch [31][100/1281] lr: 2.260e-02, eta: 9:11:11, time: 0.432, data_time: 0.209, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9956, loss_cls: 0.5876, loss: 0.5876 2023-12-13 15:05:03,389 - pyskl - INFO - Epoch [31][200/1281] lr: 2.259e-02, eta: 9:10:55, time: 0.229, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9938, loss_cls: 0.5656, loss: 0.5656 2023-12-13 15:05:26,634 - pyskl - INFO - Epoch [31][300/1281] lr: 2.258e-02, eta: 9:10:40, time: 0.232, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9975, loss_cls: 0.6053, loss: 0.6053 2023-12-13 15:05:49,829 - pyskl - INFO - Epoch [31][400/1281] lr: 2.256e-02, eta: 9:10:25, time: 0.232, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9925, loss_cls: 0.6025, loss: 0.6025 2023-12-13 15:06:12,987 - pyskl - INFO - Epoch [31][500/1281] lr: 2.255e-02, eta: 9:10:10, time: 0.232, data_time: 0.000, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9950, loss_cls: 0.6235, loss: 0.6235 2023-12-13 15:06:35,899 - pyskl - INFO - Epoch [31][600/1281] lr: 2.254e-02, eta: 9:09:54, time: 0.229, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9944, loss_cls: 0.5695, loss: 0.5695 2023-12-13 15:06:57,949 - pyskl - INFO - Epoch [31][700/1281] lr: 2.253e-02, eta: 9:09:34, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9950, loss_cls: 0.5752, loss: 0.5752 2023-12-13 15:07:19,198 - pyskl - INFO - Epoch [31][800/1281] lr: 2.252e-02, eta: 9:09:12, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9950, loss_cls: 0.5945, loss: 0.5945 2023-12-13 15:07:40,212 - pyskl - INFO - Epoch [31][900/1281] lr: 2.250e-02, eta: 9:08:48, time: 0.210, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9950, loss_cls: 0.5772, loss: 0.5772 2023-12-13 15:08:01,451 - pyskl - INFO - Epoch [31][1000/1281] lr: 2.249e-02, eta: 9:08:25, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9950, loss_cls: 0.6259, loss: 0.6259 2023-12-13 15:08:22,886 - pyskl - INFO - Epoch [31][1100/1281] lr: 2.248e-02, eta: 9:08:03, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9944, loss_cls: 0.6237, loss: 0.6237 2023-12-13 15:08:44,200 - pyskl - INFO - Epoch [31][1200/1281] lr: 2.247e-02, eta: 9:07:41, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9950, loss_cls: 0.5311, loss: 0.5311 2023-12-13 15:09:02,338 - pyskl - INFO - Saving checkpoint at 31 epochs 2023-12-13 15:09:45,838 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 15:09:45,897 - pyskl - INFO - top1_acc 0.8403 top5_acc 0.9900 2023-12-13 15:09:45,897 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 15:09:45,906 - pyskl - INFO - mean_acc 0.7755 2023-12-13 15:09:45,909 - pyskl - INFO - Epoch(val) [31][533] top1_acc: 0.8403, top5_acc: 0.9900, mean_class_accuracy: 0.7755 2023-12-13 15:10:25,556 - pyskl - INFO - Epoch [32][100/1281] lr: 2.244e-02, eta: 9:07:04, time: 0.396, data_time: 0.180, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9931, loss_cls: 0.6095, loss: 0.6095 2023-12-13 15:10:46,664 - pyskl - INFO - Epoch [32][200/1281] lr: 2.243e-02, eta: 9:06:41, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9962, loss_cls: 0.5147, loss: 0.5147 2023-12-13 15:11:08,180 - pyskl - INFO - Epoch [32][300/1281] lr: 2.242e-02, eta: 9:06:19, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9962, loss_cls: 0.5423, loss: 0.5423 2023-12-13 15:11:29,525 - pyskl - INFO - Epoch [32][400/1281] lr: 2.241e-02, eta: 9:05:57, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9944, loss_cls: 0.5523, loss: 0.5523 2023-12-13 15:11:50,764 - pyskl - INFO - Epoch [32][500/1281] lr: 2.239e-02, eta: 9:05:34, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9956, loss_cls: 0.5224, loss: 0.5224 2023-12-13 15:12:12,091 - pyskl - INFO - Epoch [32][600/1281] lr: 2.238e-02, eta: 9:05:12, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9938, loss_cls: 0.5887, loss: 0.5887 2023-12-13 15:12:33,271 - pyskl - INFO - Epoch [32][700/1281] lr: 2.237e-02, eta: 9:04:49, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9912, loss_cls: 0.6455, loss: 0.6455 2023-12-13 15:12:54,636 - pyskl - INFO - Epoch [32][800/1281] lr: 2.236e-02, eta: 9:04:27, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9956, loss_cls: 0.5613, loss: 0.5613 2023-12-13 15:13:15,824 - pyskl - INFO - Epoch [32][900/1281] lr: 2.234e-02, eta: 9:04:04, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9950, loss_cls: 0.6291, loss: 0.6291 2023-12-13 15:13:37,127 - pyskl - INFO - Epoch [32][1000/1281] lr: 2.233e-02, eta: 9:03:42, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9950, loss_cls: 0.5432, loss: 0.5432 2023-12-13 15:13:58,203 - pyskl - INFO - Epoch [32][1100/1281] lr: 2.232e-02, eta: 9:03:18, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9925, loss_cls: 0.6471, loss: 0.6471 2023-12-13 15:14:19,399 - pyskl - INFO - Epoch [32][1200/1281] lr: 2.231e-02, eta: 9:02:55, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9950, loss_cls: 0.5848, loss: 0.5848 2023-12-13 15:14:37,378 - pyskl - INFO - Saving checkpoint at 32 epochs 2023-12-13 15:15:21,525 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 15:15:21,600 - pyskl - INFO - top1_acc 0.8581 top5_acc 0.9890 2023-12-13 15:15:21,600 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 15:15:21,610 - pyskl - INFO - mean_acc 0.8119 2023-12-13 15:15:21,615 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_30.pth was removed 2023-12-13 15:15:21,844 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. 2023-12-13 15:15:21,845 - pyskl - INFO - Best top1_acc is 0.8581 at 32 epoch. 2023-12-13 15:15:21,848 - pyskl - INFO - Epoch(val) [32][533] top1_acc: 0.8581, top5_acc: 0.9890, mean_class_accuracy: 0.8119 2023-12-13 15:16:01,870 - pyskl - INFO - Epoch [33][100/1281] lr: 2.228e-02, eta: 9:02:20, time: 0.400, data_time: 0.190, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9944, loss_cls: 0.5486, loss: 0.5486 2023-12-13 15:16:23,050 - pyskl - INFO - Epoch [33][200/1281] lr: 2.227e-02, eta: 9:01:57, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9956, loss_cls: 0.5563, loss: 0.5563 2023-12-13 15:16:44,247 - pyskl - INFO - Epoch [33][300/1281] lr: 2.226e-02, eta: 9:01:35, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9956, loss_cls: 0.5507, loss: 0.5507 2023-12-13 15:17:05,614 - pyskl - INFO - Epoch [33][400/1281] lr: 2.225e-02, eta: 9:01:12, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9975, loss_cls: 0.5933, loss: 0.5933 2023-12-13 15:17:26,680 - pyskl - INFO - Epoch [33][500/1281] lr: 2.223e-02, eta: 9:00:49, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9931, loss_cls: 0.5426, loss: 0.5426 2023-12-13 15:17:48,036 - pyskl - INFO - Epoch [33][600/1281] lr: 2.222e-02, eta: 9:00:27, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9938, loss_cls: 0.6124, loss: 0.6124 2023-12-13 15:18:09,315 - pyskl - INFO - Epoch [33][700/1281] lr: 2.221e-02, eta: 9:00:04, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9969, loss_cls: 0.5852, loss: 0.5852 2023-12-13 15:18:30,632 - pyskl - INFO - Epoch [33][800/1281] lr: 2.219e-02, eta: 8:59:42, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9962, loss_cls: 0.5596, loss: 0.5596 2023-12-13 15:18:51,942 - pyskl - INFO - Epoch [33][900/1281] lr: 2.218e-02, eta: 8:59:20, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9962, loss_cls: 0.5616, loss: 0.5616 2023-12-13 15:19:14,347 - pyskl - INFO - Epoch [33][1000/1281] lr: 2.217e-02, eta: 8:59:01, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9969, loss_cls: 0.5632, loss: 0.5632 2023-12-13 15:19:37,353 - pyskl - INFO - Epoch [33][1100/1281] lr: 2.216e-02, eta: 8:58:45, time: 0.230, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9944, loss_cls: 0.6050, loss: 0.6050 2023-12-13 15:19:59,529 - pyskl - INFO - Epoch [33][1200/1281] lr: 2.214e-02, eta: 8:58:26, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9975, loss_cls: 0.6106, loss: 0.6106 2023-12-13 15:20:18,473 - pyskl - INFO - Saving checkpoint at 33 epochs 2023-12-13 15:21:05,669 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 15:21:05,744 - pyskl - INFO - top1_acc 0.7988 top5_acc 0.9837 2023-12-13 15:21:05,744 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 15:21:05,753 - pyskl - INFO - mean_acc 0.7494 2023-12-13 15:21:05,758 - pyskl - INFO - Epoch(val) [33][533] top1_acc: 0.7988, top5_acc: 0.9837, mean_class_accuracy: 0.7494 2023-12-13 15:21:48,740 - pyskl - INFO - Epoch [34][100/1281] lr: 2.212e-02, eta: 8:58:01, time: 0.430, data_time: 0.211, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9969, loss_cls: 0.5590, loss: 0.5590 2023-12-13 15:22:10,730 - pyskl - INFO - Epoch [34][200/1281] lr: 2.211e-02, eta: 8:57:41, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9950, loss_cls: 0.5475, loss: 0.5475 2023-12-13 15:22:31,938 - pyskl - INFO - Epoch [34][300/1281] lr: 2.209e-02, eta: 8:57:18, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9969, loss_cls: 0.6103, loss: 0.6103 2023-12-13 15:22:53,194 - pyskl - INFO - Epoch [34][400/1281] lr: 2.208e-02, eta: 8:56:55, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9956, loss_cls: 0.5674, loss: 0.5674 2023-12-13 15:23:14,753 - pyskl - INFO - Epoch [34][500/1281] lr: 2.207e-02, eta: 8:56:34, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9944, loss_cls: 0.5265, loss: 0.5265 2023-12-13 15:23:36,154 - pyskl - INFO - Epoch [34][600/1281] lr: 2.205e-02, eta: 8:56:12, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9944, loss_cls: 0.5792, loss: 0.5792 2023-12-13 15:23:57,298 - pyskl - INFO - Epoch [34][700/1281] lr: 2.204e-02, eta: 8:55:49, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9969, loss_cls: 0.5466, loss: 0.5466 2023-12-13 15:24:19,466 - pyskl - INFO - Epoch [34][800/1281] lr: 2.203e-02, eta: 8:55:29, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9938, loss_cls: 0.6364, loss: 0.6364 2023-12-13 15:24:41,901 - pyskl - INFO - Epoch [34][900/1281] lr: 2.201e-02, eta: 8:55:11, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9944, loss_cls: 0.5943, loss: 0.5943 2023-12-13 15:25:04,148 - pyskl - INFO - Epoch [34][1000/1281] lr: 2.200e-02, eta: 8:54:52, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9956, loss_cls: 0.5330, loss: 0.5330 2023-12-13 15:25:26,442 - pyskl - INFO - Epoch [34][1100/1281] lr: 2.199e-02, eta: 8:54:33, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9950, loss_cls: 0.5421, loss: 0.5421 2023-12-13 15:25:48,735 - pyskl - INFO - Epoch [34][1200/1281] lr: 2.197e-02, eta: 8:54:14, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9919, loss_cls: 0.6234, loss: 0.6234 2023-12-13 15:26:07,639 - pyskl - INFO - Saving checkpoint at 34 epochs 2023-12-13 15:26:53,574 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 15:26:53,671 - pyskl - INFO - top1_acc 0.8403 top5_acc 0.9916 2023-12-13 15:26:53,672 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 15:26:53,681 - pyskl - INFO - mean_acc 0.7991 2023-12-13 15:26:53,685 - pyskl - INFO - Epoch(val) [34][533] top1_acc: 0.8403, top5_acc: 0.9916, mean_class_accuracy: 0.7991 2023-12-13 15:27:34,804 - pyskl - INFO - Epoch [35][100/1281] lr: 2.195e-02, eta: 8:53:42, time: 0.411, data_time: 0.198, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9969, loss_cls: 0.5560, loss: 0.5560 2023-12-13 15:27:56,127 - pyskl - INFO - Epoch [35][200/1281] lr: 2.194e-02, eta: 8:53:19, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9956, loss_cls: 0.5933, loss: 0.5933 2023-12-13 15:28:17,434 - pyskl - INFO - Epoch [35][300/1281] lr: 2.192e-02, eta: 8:52:57, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9938, loss_cls: 0.5428, loss: 0.5428 2023-12-13 15:28:39,558 - pyskl - INFO - Epoch [35][400/1281] lr: 2.191e-02, eta: 8:52:37, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9956, loss_cls: 0.5242, loss: 0.5242 2023-12-13 15:29:01,521 - pyskl - INFO - Epoch [35][500/1281] lr: 2.190e-02, eta: 8:52:17, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9969, loss_cls: 0.5151, loss: 0.5151 2023-12-13 15:29:23,675 - pyskl - INFO - Epoch [35][600/1281] lr: 2.188e-02, eta: 8:51:57, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9938, loss_cls: 0.5552, loss: 0.5552 2023-12-13 15:29:45,483 - pyskl - INFO - Epoch [35][700/1281] lr: 2.187e-02, eta: 8:51:37, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9938, loss_cls: 0.5987, loss: 0.5987 2023-12-13 15:30:07,555 - pyskl - INFO - Epoch [35][800/1281] lr: 2.185e-02, eta: 8:51:17, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9944, loss_cls: 0.6101, loss: 0.6101 2023-12-13 15:30:29,447 - pyskl - INFO - Epoch [35][900/1281] lr: 2.184e-02, eta: 8:50:56, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9950, loss_cls: 0.5968, loss: 0.5968 2023-12-13 15:30:51,113 - pyskl - INFO - Epoch [35][1000/1281] lr: 2.183e-02, eta: 8:50:35, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9919, loss_cls: 0.5855, loss: 0.5855 2023-12-13 15:31:13,495 - pyskl - INFO - Epoch [35][1100/1281] lr: 2.181e-02, eta: 8:50:16, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9944, loss_cls: 0.5536, loss: 0.5536 2023-12-13 15:31:35,047 - pyskl - INFO - Epoch [35][1200/1281] lr: 2.180e-02, eta: 8:49:54, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9962, loss_cls: 0.5647, loss: 0.5647 2023-12-13 15:31:53,569 - pyskl - INFO - Saving checkpoint at 35 epochs 2023-12-13 15:32:38,407 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 15:32:38,477 - pyskl - INFO - top1_acc 0.8162 top5_acc 0.9860 2023-12-13 15:32:38,478 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 15:32:38,486 - pyskl - INFO - mean_acc 0.7775 2023-12-13 15:32:38,488 - pyskl - INFO - Epoch(val) [35][533] top1_acc: 0.8162, top5_acc: 0.9860, mean_class_accuracy: 0.7775 2023-12-13 15:33:21,319 - pyskl - INFO - Epoch [36][100/1281] lr: 2.178e-02, eta: 8:49:28, time: 0.428, data_time: 0.207, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9956, loss_cls: 0.5261, loss: 0.5261 2023-12-13 15:33:43,275 - pyskl - INFO - Epoch [36][200/1281] lr: 2.176e-02, eta: 8:49:07, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9956, loss_cls: 0.5805, loss: 0.5805 2023-12-13 15:34:05,055 - pyskl - INFO - Epoch [36][300/1281] lr: 2.175e-02, eta: 8:48:46, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9950, loss_cls: 0.5322, loss: 0.5322 2023-12-13 15:34:26,945 - pyskl - INFO - Epoch [36][400/1281] lr: 2.173e-02, eta: 8:48:26, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9944, loss_cls: 0.5968, loss: 0.5968 2023-12-13 15:34:49,033 - pyskl - INFO - Epoch [36][500/1281] lr: 2.172e-02, eta: 8:48:06, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9962, loss_cls: 0.5448, loss: 0.5448 2023-12-13 15:35:11,044 - pyskl - INFO - Epoch [36][600/1281] lr: 2.171e-02, eta: 8:47:46, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9950, loss_cls: 0.5704, loss: 0.5704 2023-12-13 15:35:33,340 - pyskl - INFO - Epoch [36][700/1281] lr: 2.169e-02, eta: 8:47:26, time: 0.223, data_time: 0.000, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9975, loss_cls: 0.5365, loss: 0.5365 2023-12-13 15:35:55,197 - pyskl - INFO - Epoch [36][800/1281] lr: 2.168e-02, eta: 8:47:06, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9956, loss_cls: 0.5838, loss: 0.5838 2023-12-13 15:36:16,546 - pyskl - INFO - Epoch [36][900/1281] lr: 2.167e-02, eta: 8:46:43, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9944, loss_cls: 0.5449, loss: 0.5449 2023-12-13 15:36:37,927 - pyskl - INFO - Epoch [36][1000/1281] lr: 2.165e-02, eta: 8:46:21, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9956, loss_cls: 0.5896, loss: 0.5896 2023-12-13 15:36:59,341 - pyskl - INFO - Epoch [36][1100/1281] lr: 2.164e-02, eta: 8:45:59, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9925, loss_cls: 0.5916, loss: 0.5916 2023-12-13 15:37:21,578 - pyskl - INFO - Epoch [36][1200/1281] lr: 2.162e-02, eta: 8:45:40, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9944, loss_cls: 0.5212, loss: 0.5212 2023-12-13 15:37:40,537 - pyskl - INFO - Saving checkpoint at 36 epochs 2023-12-13 15:38:28,218 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 15:38:28,299 - pyskl - INFO - top1_acc 0.8312 top5_acc 0.9873 2023-12-13 15:38:28,299 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 15:38:28,311 - pyskl - INFO - mean_acc 0.7700 2023-12-13 15:38:28,314 - pyskl - INFO - Epoch(val) [36][533] top1_acc: 0.8312, top5_acc: 0.9873, mean_class_accuracy: 0.7700 2023-12-13 15:39:10,900 - pyskl - INFO - Epoch [37][100/1281] lr: 2.160e-02, eta: 8:45:12, time: 0.426, data_time: 0.208, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9938, loss_cls: 0.5484, loss: 0.5484 2023-12-13 15:39:32,809 - pyskl - INFO - Epoch [37][200/1281] lr: 2.158e-02, eta: 8:44:51, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9962, loss_cls: 0.4890, loss: 0.4890 2023-12-13 15:39:54,883 - pyskl - INFO - Epoch [37][300/1281] lr: 2.157e-02, eta: 8:44:31, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9956, loss_cls: 0.4972, loss: 0.4972 2023-12-13 15:40:16,760 - pyskl - INFO - Epoch [37][400/1281] lr: 2.156e-02, eta: 8:44:10, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9950, loss_cls: 0.6413, loss: 0.6413 2023-12-13 15:40:37,884 - pyskl - INFO - Epoch [37][500/1281] lr: 2.154e-02, eta: 8:43:47, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9975, loss_cls: 0.5737, loss: 0.5737 2023-12-13 15:40:59,239 - pyskl - INFO - Epoch [37][600/1281] lr: 2.153e-02, eta: 8:43:25, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9938, loss_cls: 0.5575, loss: 0.5575 2023-12-13 15:41:20,822 - pyskl - INFO - Epoch [37][700/1281] lr: 2.151e-02, eta: 8:43:03, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9912, loss_cls: 0.6000, loss: 0.6000 2023-12-13 15:41:42,744 - pyskl - INFO - Epoch [37][800/1281] lr: 2.150e-02, eta: 8:42:42, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9944, loss_cls: 0.5392, loss: 0.5392 2023-12-13 15:42:04,929 - pyskl - INFO - Epoch [37][900/1281] lr: 2.149e-02, eta: 8:42:23, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9988, loss_cls: 0.5322, loss: 0.5322 2023-12-13 15:42:27,065 - pyskl - INFO - Epoch [37][1000/1281] lr: 2.147e-02, eta: 8:42:03, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9988, loss_cls: 0.5235, loss: 0.5235 2023-12-13 15:42:48,945 - pyskl - INFO - Epoch [37][1100/1281] lr: 2.146e-02, eta: 8:41:42, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9950, loss_cls: 0.5745, loss: 0.5745 2023-12-13 15:43:10,902 - pyskl - INFO - Epoch [37][1200/1281] lr: 2.144e-02, eta: 8:41:22, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9944, loss_cls: 0.6327, loss: 0.6327 2023-12-13 15:43:29,453 - pyskl - INFO - Saving checkpoint at 37 epochs 2023-12-13 15:44:17,470 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 15:44:17,534 - pyskl - INFO - top1_acc 0.8767 top5_acc 0.9927 2023-12-13 15:44:17,534 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 15:44:17,542 - pyskl - INFO - mean_acc 0.8334 2023-12-13 15:44:17,546 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_32.pth was removed 2023-12-13 15:44:17,738 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_37.pth. 2023-12-13 15:44:17,738 - pyskl - INFO - Best top1_acc is 0.8767 at 37 epoch. 2023-12-13 15:44:17,741 - pyskl - INFO - Epoch(val) [37][533] top1_acc: 0.8767, top5_acc: 0.9927, mean_class_accuracy: 0.8334 2023-12-13 15:44:59,109 - pyskl - INFO - Epoch [38][100/1281] lr: 2.142e-02, eta: 8:40:49, time: 0.414, data_time: 0.200, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9988, loss_cls: 0.4265, loss: 0.4265 2023-12-13 15:45:20,184 - pyskl - INFO - Epoch [38][200/1281] lr: 2.140e-02, eta: 8:40:26, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9988, loss_cls: 0.4618, loss: 0.4618 2023-12-13 15:45:41,582 - pyskl - INFO - Epoch [38][300/1281] lr: 2.139e-02, eta: 8:40:04, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9956, loss_cls: 0.5286, loss: 0.5286 2023-12-13 15:46:03,682 - pyskl - INFO - Epoch [38][400/1281] lr: 2.137e-02, eta: 8:39:44, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9912, loss_cls: 0.6035, loss: 0.6035 2023-12-13 15:46:25,671 - pyskl - INFO - Epoch [38][500/1281] lr: 2.136e-02, eta: 8:39:23, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9925, loss_cls: 0.5287, loss: 0.5287 2023-12-13 15:46:47,633 - pyskl - INFO - Epoch [38][600/1281] lr: 2.134e-02, eta: 8:39:03, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9962, loss_cls: 0.5105, loss: 0.5105 2023-12-13 15:47:09,861 - pyskl - INFO - Epoch [38][700/1281] lr: 2.133e-02, eta: 8:38:43, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9969, loss_cls: 0.5142, loss: 0.5142 2023-12-13 15:47:31,885 - pyskl - INFO - Epoch [38][800/1281] lr: 2.132e-02, eta: 8:38:23, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9956, loss_cls: 0.5351, loss: 0.5351 2023-12-13 15:47:53,753 - pyskl - INFO - Epoch [38][900/1281] lr: 2.130e-02, eta: 8:38:02, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9950, loss_cls: 0.5388, loss: 0.5388 2023-12-13 15:48:15,741 - pyskl - INFO - Epoch [38][1000/1281] lr: 2.129e-02, eta: 8:37:41, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9938, loss_cls: 0.6123, loss: 0.6123 2023-12-13 15:48:37,625 - pyskl - INFO - Epoch [38][1100/1281] lr: 2.127e-02, eta: 8:37:21, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9975, loss_cls: 0.5663, loss: 0.5663 2023-12-13 15:48:59,434 - pyskl - INFO - Epoch [38][1200/1281] lr: 2.126e-02, eta: 8:37:00, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9944, loss_cls: 0.5447, loss: 0.5447 2023-12-13 15:49:17,553 - pyskl - INFO - Saving checkpoint at 38 epochs 2023-12-13 15:50:01,535 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 15:50:01,598 - pyskl - INFO - top1_acc 0.8467 top5_acc 0.9910 2023-12-13 15:50:01,598 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 15:50:01,607 - pyskl - INFO - mean_acc 0.8073 2023-12-13 15:50:01,611 - pyskl - INFO - Epoch(val) [38][533] top1_acc: 0.8467, top5_acc: 0.9910, mean_class_accuracy: 0.8073 2023-12-13 15:50:43,957 - pyskl - INFO - Epoch [39][100/1281] lr: 2.123e-02, eta: 8:36:30, time: 0.423, data_time: 0.204, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9962, loss_cls: 0.4795, loss: 0.4795 2023-12-13 15:51:05,916 - pyskl - INFO - Epoch [39][200/1281] lr: 2.122e-02, eta: 8:36:09, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9981, loss_cls: 0.5386, loss: 0.5386 2023-12-13 15:51:28,032 - pyskl - INFO - Epoch [39][300/1281] lr: 2.120e-02, eta: 8:35:49, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9931, loss_cls: 0.5325, loss: 0.5325 2023-12-13 15:51:49,940 - pyskl - INFO - Epoch [39][400/1281] lr: 2.119e-02, eta: 8:35:28, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9950, loss_cls: 0.4699, loss: 0.4699 2023-12-13 15:52:11,719 - pyskl - INFO - Epoch [39][500/1281] lr: 2.117e-02, eta: 8:35:07, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9975, loss_cls: 0.5178, loss: 0.5178 2023-12-13 15:52:33,695 - pyskl - INFO - Epoch [39][600/1281] lr: 2.116e-02, eta: 8:34:47, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9988, loss_cls: 0.5307, loss: 0.5307 2023-12-13 15:52:55,671 - pyskl - INFO - Epoch [39][700/1281] lr: 2.114e-02, eta: 8:34:26, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9969, loss_cls: 0.5564, loss: 0.5564 2023-12-13 15:53:17,607 - pyskl - INFO - Epoch [39][800/1281] lr: 2.113e-02, eta: 8:34:05, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9956, loss_cls: 0.5699, loss: 0.5699 2023-12-13 15:53:39,005 - pyskl - INFO - Epoch [39][900/1281] lr: 2.111e-02, eta: 8:33:43, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9950, loss_cls: 0.5331, loss: 0.5331 2023-12-13 15:54:00,198 - pyskl - INFO - Epoch [39][1000/1281] lr: 2.110e-02, eta: 8:33:20, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9956, loss_cls: 0.5172, loss: 0.5172 2023-12-13 15:54:21,300 - pyskl - INFO - Epoch [39][1100/1281] lr: 2.108e-02, eta: 8:32:57, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9956, loss_cls: 0.5471, loss: 0.5471 2023-12-13 15:54:43,299 - pyskl - INFO - Epoch [39][1200/1281] lr: 2.107e-02, eta: 8:32:37, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9906, loss_cls: 0.5576, loss: 0.5576 2023-12-13 15:55:01,886 - pyskl - INFO - Saving checkpoint at 39 epochs 2023-12-13 15:55:49,181 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 15:55:49,262 - pyskl - INFO - top1_acc 0.8363 top5_acc 0.9887 2023-12-13 15:55:49,262 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 15:55:49,273 - pyskl - INFO - mean_acc 0.7863 2023-12-13 15:55:49,278 - pyskl - INFO - Epoch(val) [39][533] top1_acc: 0.8363, top5_acc: 0.9887, mean_class_accuracy: 0.7863 2023-12-13 15:56:32,163 - pyskl - INFO - Epoch [40][100/1281] lr: 2.104e-02, eta: 8:32:08, time: 0.429, data_time: 0.206, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9969, loss_cls: 0.5545, loss: 0.5545 2023-12-13 15:56:54,176 - pyskl - INFO - Epoch [40][200/1281] lr: 2.103e-02, eta: 8:31:48, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9981, loss_cls: 0.4802, loss: 0.4802 2023-12-13 15:57:16,196 - pyskl - INFO - Epoch [40][300/1281] lr: 2.101e-02, eta: 8:31:27, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9962, loss_cls: 0.4825, loss: 0.4825 2023-12-13 15:57:37,516 - pyskl - INFO - Epoch [40][400/1281] lr: 2.100e-02, eta: 8:31:05, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9950, loss_cls: 0.4769, loss: 0.4769 2023-12-13 15:57:58,775 - pyskl - INFO - Epoch [40][500/1281] lr: 2.098e-02, eta: 8:30:42, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9956, loss_cls: 0.4728, loss: 0.4728 2023-12-13 15:58:20,101 - pyskl - INFO - Epoch [40][600/1281] lr: 2.097e-02, eta: 8:30:19, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9975, loss_cls: 0.4756, loss: 0.4756 2023-12-13 15:58:42,152 - pyskl - INFO - Epoch [40][700/1281] lr: 2.095e-02, eta: 8:29:59, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9950, loss_cls: 0.5634, loss: 0.5634 2023-12-13 15:59:04,092 - pyskl - INFO - Epoch [40][800/1281] lr: 2.094e-02, eta: 8:29:38, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9969, loss_cls: 0.4731, loss: 0.4731 2023-12-13 15:59:25,975 - pyskl - INFO - Epoch [40][900/1281] lr: 2.092e-02, eta: 8:29:17, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9956, loss_cls: 0.4929, loss: 0.4929 2023-12-13 15:59:48,057 - pyskl - INFO - Epoch [40][1000/1281] lr: 2.091e-02, eta: 8:28:57, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9938, loss_cls: 0.5850, loss: 0.5850 2023-12-13 16:00:10,134 - pyskl - INFO - Epoch [40][1100/1281] lr: 2.089e-02, eta: 8:28:37, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9944, loss_cls: 0.5793, loss: 0.5793 2023-12-13 16:00:32,320 - pyskl - INFO - Epoch [40][1200/1281] lr: 2.088e-02, eta: 8:28:17, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9938, loss_cls: 0.5432, loss: 0.5432 2023-12-13 16:00:51,022 - pyskl - INFO - Saving checkpoint at 40 epochs 2023-12-13 16:01:37,061 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 16:01:37,128 - pyskl - INFO - top1_acc 0.8195 top5_acc 0.9822 2023-12-13 16:01:37,129 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 16:01:37,144 - pyskl - INFO - mean_acc 0.7720 2023-12-13 16:01:37,149 - pyskl - INFO - Epoch(val) [40][533] top1_acc: 0.8195, top5_acc: 0.9822, mean_class_accuracy: 0.7720 2023-12-13 16:02:18,225 - pyskl - INFO - Epoch [41][100/1281] lr: 2.085e-02, eta: 8:27:43, time: 0.411, data_time: 0.197, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9944, loss_cls: 0.5080, loss: 0.5080 2023-12-13 16:02:40,124 - pyskl - INFO - Epoch [41][200/1281] lr: 2.083e-02, eta: 8:27:22, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9962, loss_cls: 0.5353, loss: 0.5353 2023-12-13 16:03:02,361 - pyskl - INFO - Epoch [41][300/1281] lr: 2.082e-02, eta: 8:27:02, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9975, loss_cls: 0.5194, loss: 0.5194 2023-12-13 16:03:24,397 - pyskl - INFO - Epoch [41][400/1281] lr: 2.080e-02, eta: 8:26:41, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9969, loss_cls: 0.5134, loss: 0.5134 2023-12-13 16:03:46,370 - pyskl - INFO - Epoch [41][500/1281] lr: 2.079e-02, eta: 8:26:20, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9969, loss_cls: 0.5383, loss: 0.5383 2023-12-13 16:04:08,191 - pyskl - INFO - Epoch [41][600/1281] lr: 2.077e-02, eta: 8:25:59, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9969, loss_cls: 0.5689, loss: 0.5689 2023-12-13 16:04:30,117 - pyskl - INFO - Epoch [41][700/1281] lr: 2.076e-02, eta: 8:25:38, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9950, loss_cls: 0.5635, loss: 0.5635 2023-12-13 16:04:51,930 - pyskl - INFO - Epoch [41][800/1281] lr: 2.074e-02, eta: 8:25:17, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9956, loss_cls: 0.5298, loss: 0.5298 2023-12-13 16:05:13,993 - pyskl - INFO - Epoch [41][900/1281] lr: 2.073e-02, eta: 8:24:57, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9969, loss_cls: 0.5365, loss: 0.5365 2023-12-13 16:05:35,678 - pyskl - INFO - Epoch [41][1000/1281] lr: 2.071e-02, eta: 8:24:35, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9962, loss_cls: 0.5113, loss: 0.5113 2023-12-13 16:05:57,022 - pyskl - INFO - Epoch [41][1100/1281] lr: 2.070e-02, eta: 8:24:13, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9956, loss_cls: 0.4728, loss: 0.4728 2023-12-13 16:06:18,008 - pyskl - INFO - Epoch [41][1200/1281] lr: 2.068e-02, eta: 8:23:49, time: 0.210, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9975, loss_cls: 0.5059, loss: 0.5059 2023-12-13 16:06:36,152 - pyskl - INFO - Saving checkpoint at 41 epochs 2023-12-13 16:07:23,593 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 16:07:23,673 - pyskl - INFO - top1_acc 0.8399 top5_acc 0.9862 2023-12-13 16:07:23,673 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 16:07:23,682 - pyskl - INFO - mean_acc 0.7821 2023-12-13 16:07:23,685 - pyskl - INFO - Epoch(val) [41][533] top1_acc: 0.8399, top5_acc: 0.9862, mean_class_accuracy: 0.7821 2023-12-13 16:08:06,351 - pyskl - INFO - Epoch [42][100/1281] lr: 2.065e-02, eta: 8:23:20, time: 0.427, data_time: 0.207, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9956, loss_cls: 0.6194, loss: 0.6194 2023-12-13 16:08:28,174 - pyskl - INFO - Epoch [42][200/1281] lr: 2.064e-02, eta: 8:22:58, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9981, loss_cls: 0.4262, loss: 0.4262 2023-12-13 16:08:49,968 - pyskl - INFO - Epoch [42][300/1281] lr: 2.062e-02, eta: 8:22:37, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9969, loss_cls: 0.4969, loss: 0.4969 2023-12-13 16:09:11,682 - pyskl - INFO - Epoch [42][400/1281] lr: 2.061e-02, eta: 8:22:16, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9944, loss_cls: 0.4985, loss: 0.4985 2023-12-13 16:09:33,501 - pyskl - INFO - Epoch [42][500/1281] lr: 2.059e-02, eta: 8:21:54, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9969, loss_cls: 0.4853, loss: 0.4853 2023-12-13 16:09:54,986 - pyskl - INFO - Epoch [42][600/1281] lr: 2.057e-02, eta: 8:21:32, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 0.4695, loss: 0.4695 2023-12-13 16:10:16,311 - pyskl - INFO - Epoch [42][700/1281] lr: 2.056e-02, eta: 8:21:10, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9962, loss_cls: 0.4938, loss: 0.4938 2023-12-13 16:10:37,519 - pyskl - INFO - Epoch [42][800/1281] lr: 2.054e-02, eta: 8:20:47, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9956, loss_cls: 0.5382, loss: 0.5382 2023-12-13 16:10:59,316 - pyskl - INFO - Epoch [42][900/1281] lr: 2.053e-02, eta: 8:20:26, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9931, loss_cls: 0.4888, loss: 0.4888 2023-12-13 16:11:21,458 - pyskl - INFO - Epoch [42][1000/1281] lr: 2.051e-02, eta: 8:20:05, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9944, loss_cls: 0.5134, loss: 0.5134 2023-12-13 16:11:43,136 - pyskl - INFO - Epoch [42][1100/1281] lr: 2.050e-02, eta: 8:19:44, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9944, loss_cls: 0.5951, loss: 0.5951 2023-12-13 16:12:05,049 - pyskl - INFO - Epoch [42][1200/1281] lr: 2.048e-02, eta: 8:19:23, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9944, loss_cls: 0.5561, loss: 0.5561 2023-12-13 16:12:23,742 - pyskl - INFO - Saving checkpoint at 42 epochs 2023-12-13 16:13:09,733 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 16:13:09,793 - pyskl - INFO - top1_acc 0.8491 top5_acc 0.9919 2023-12-13 16:13:09,794 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 16:13:09,804 - pyskl - INFO - mean_acc 0.7974 2023-12-13 16:13:09,807 - pyskl - INFO - Epoch(val) [42][533] top1_acc: 0.8491, top5_acc: 0.9919, mean_class_accuracy: 0.7974 2023-12-13 16:13:52,283 - pyskl - INFO - Epoch [43][100/1281] lr: 2.045e-02, eta: 8:18:52, time: 0.425, data_time: 0.204, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9988, loss_cls: 0.4529, loss: 0.4529 2023-12-13 16:14:13,385 - pyskl - INFO - Epoch [43][200/1281] lr: 2.044e-02, eta: 8:18:29, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.4688, loss: 0.4688 2023-12-13 16:14:34,526 - pyskl - INFO - Epoch [43][300/1281] lr: 2.042e-02, eta: 8:18:06, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9969, loss_cls: 0.4970, loss: 0.4970 2023-12-13 16:14:55,818 - pyskl - INFO - Epoch [43][400/1281] lr: 2.040e-02, eta: 8:17:44, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9975, loss_cls: 0.4948, loss: 0.4948 2023-12-13 16:15:17,872 - pyskl - INFO - Epoch [43][500/1281] lr: 2.039e-02, eta: 8:17:23, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9962, loss_cls: 0.4835, loss: 0.4835 2023-12-13 16:15:39,775 - pyskl - INFO - Epoch [43][600/1281] lr: 2.037e-02, eta: 8:17:02, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9975, loss_cls: 0.4855, loss: 0.4855 2023-12-13 16:16:01,875 - pyskl - INFO - Epoch [43][700/1281] lr: 2.036e-02, eta: 8:16:42, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9931, loss_cls: 0.4907, loss: 0.4907 2023-12-13 16:16:23,947 - pyskl - INFO - Epoch [43][800/1281] lr: 2.034e-02, eta: 8:16:21, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.4509, loss: 0.4509 2023-12-13 16:16:45,894 - pyskl - INFO - Epoch [43][900/1281] lr: 2.033e-02, eta: 8:16:00, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9944, loss_cls: 0.5219, loss: 0.5219 2023-12-13 16:17:07,709 - pyskl - INFO - Epoch [43][1000/1281] lr: 2.031e-02, eta: 8:15:39, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9975, loss_cls: 0.5259, loss: 0.5259 2023-12-13 16:17:29,681 - pyskl - INFO - Epoch [43][1100/1281] lr: 2.029e-02, eta: 8:15:18, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9938, loss_cls: 0.5241, loss: 0.5241 2023-12-13 16:17:51,266 - pyskl - INFO - Epoch [43][1200/1281] lr: 2.028e-02, eta: 8:14:56, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9956, loss_cls: 0.5885, loss: 0.5885 2023-12-13 16:18:09,666 - pyskl - INFO - Saving checkpoint at 43 epochs 2023-12-13 16:18:53,661 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 16:18:53,731 - pyskl - INFO - top1_acc 0.8534 top5_acc 0.9899 2023-12-13 16:18:53,731 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 16:18:53,739 - pyskl - INFO - mean_acc 0.7954 2023-12-13 16:18:53,742 - pyskl - INFO - Epoch(val) [43][533] top1_acc: 0.8534, top5_acc: 0.9899, mean_class_accuracy: 0.7954 2023-12-13 16:19:35,843 - pyskl - INFO - Epoch [44][100/1281] lr: 2.025e-02, eta: 8:14:24, time: 0.421, data_time: 0.201, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9981, loss_cls: 0.4528, loss: 0.4528 2023-12-13 16:19:57,515 - pyskl - INFO - Epoch [44][200/1281] lr: 2.023e-02, eta: 8:14:02, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9956, loss_cls: 0.5025, loss: 0.5025 2023-12-13 16:20:19,533 - pyskl - INFO - Epoch [44][300/1281] lr: 2.022e-02, eta: 8:13:42, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9975, loss_cls: 0.5124, loss: 0.5124 2023-12-13 16:20:41,649 - pyskl - INFO - Epoch [44][400/1281] lr: 2.020e-02, eta: 8:13:21, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9956, loss_cls: 0.5254, loss: 0.5254 2023-12-13 16:21:03,882 - pyskl - INFO - Epoch [44][500/1281] lr: 2.018e-02, eta: 8:13:01, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9956, loss_cls: 0.4891, loss: 0.4891 2023-12-13 16:21:26,223 - pyskl - INFO - Epoch [44][600/1281] lr: 2.017e-02, eta: 8:12:41, time: 0.223, data_time: 0.000, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9988, loss_cls: 0.4598, loss: 0.4598 2023-12-13 16:21:47,960 - pyskl - INFO - Epoch [44][700/1281] lr: 2.015e-02, eta: 8:12:19, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9931, loss_cls: 0.5612, loss: 0.5612 2023-12-13 16:22:09,223 - pyskl - INFO - Epoch [44][800/1281] lr: 2.014e-02, eta: 8:11:57, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9956, loss_cls: 0.5077, loss: 0.5077 2023-12-13 16:22:30,511 - pyskl - INFO - Epoch [44][900/1281] lr: 2.012e-02, eta: 8:11:34, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9912, loss_cls: 0.5486, loss: 0.5486 2023-12-13 16:22:51,670 - pyskl - INFO - Epoch [44][1000/1281] lr: 2.010e-02, eta: 8:11:11, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9950, loss_cls: 0.5808, loss: 0.5808 2023-12-13 16:23:13,406 - pyskl - INFO - Epoch [44][1100/1281] lr: 2.009e-02, eta: 8:10:50, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9962, loss_cls: 0.5382, loss: 0.5382 2023-12-13 16:23:35,256 - pyskl - INFO - Epoch [44][1200/1281] lr: 2.007e-02, eta: 8:10:29, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9962, loss_cls: 0.5245, loss: 0.5245 2023-12-13 16:23:53,602 - pyskl - INFO - Saving checkpoint at 44 epochs 2023-12-13 16:24:40,193 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 16:24:40,263 - pyskl - INFO - top1_acc 0.8427 top5_acc 0.9887 2023-12-13 16:24:40,264 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 16:24:40,271 - pyskl - INFO - mean_acc 0.7944 2023-12-13 16:24:40,274 - pyskl - INFO - Epoch(val) [44][533] top1_acc: 0.8427, top5_acc: 0.9887, mean_class_accuracy: 0.7944 2023-12-13 16:25:23,438 - pyskl - INFO - Epoch [45][100/1281] lr: 2.004e-02, eta: 8:09:59, time: 0.432, data_time: 0.210, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9994, loss_cls: 0.4429, loss: 0.4429 2023-12-13 16:25:45,374 - pyskl - INFO - Epoch [45][200/1281] lr: 2.003e-02, eta: 8:09:38, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 0.4449, loss: 0.4449 2023-12-13 16:26:07,038 - pyskl - INFO - Epoch [45][300/1281] lr: 2.001e-02, eta: 8:09:16, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9950, loss_cls: 0.5041, loss: 0.5041 2023-12-13 16:26:28,469 - pyskl - INFO - Epoch [45][400/1281] lr: 1.999e-02, eta: 8:08:54, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9950, loss_cls: 0.4495, loss: 0.4495 2023-12-13 16:26:49,799 - pyskl - INFO - Epoch [45][500/1281] lr: 1.998e-02, eta: 8:08:32, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9956, loss_cls: 0.4880, loss: 0.4880 2023-12-13 16:27:10,783 - pyskl - INFO - Epoch [45][600/1281] lr: 1.996e-02, eta: 8:08:08, time: 0.210, data_time: 0.000, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9950, loss_cls: 0.4874, loss: 0.4874 2023-12-13 16:27:32,710 - pyskl - INFO - Epoch [45][700/1281] lr: 1.994e-02, eta: 8:07:47, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9938, loss_cls: 0.5522, loss: 0.5522 2023-12-13 16:27:54,834 - pyskl - INFO - Epoch [45][800/1281] lr: 1.993e-02, eta: 8:07:27, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9981, loss_cls: 0.4732, loss: 0.4732 2023-12-13 16:28:16,900 - pyskl - INFO - Epoch [45][900/1281] lr: 1.991e-02, eta: 8:07:06, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 0.5330, loss: 0.5330 2023-12-13 16:28:38,758 - pyskl - INFO - Epoch [45][1000/1281] lr: 1.989e-02, eta: 8:06:45, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9962, loss_cls: 0.5137, loss: 0.5137 2023-12-13 16:29:00,880 - pyskl - INFO - Epoch [45][1100/1281] lr: 1.988e-02, eta: 8:06:24, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9944, loss_cls: 0.5340, loss: 0.5340 2023-12-13 16:29:22,843 - pyskl - INFO - Epoch [45][1200/1281] lr: 1.986e-02, eta: 8:06:03, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9938, loss_cls: 0.5588, loss: 0.5588 2023-12-13 16:29:41,595 - pyskl - INFO - Saving checkpoint at 45 epochs 2023-12-13 16:30:28,091 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 16:30:28,147 - pyskl - INFO - top1_acc 0.8539 top5_acc 0.9897 2023-12-13 16:30:28,148 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 16:30:28,154 - pyskl - INFO - mean_acc 0.7885 2023-12-13 16:30:28,156 - pyskl - INFO - Epoch(val) [45][533] top1_acc: 0.8539, top5_acc: 0.9897, mean_class_accuracy: 0.7885 2023-12-13 16:31:08,683 - pyskl - INFO - Epoch [46][100/1281] lr: 1.983e-02, eta: 8:05:27, time: 0.405, data_time: 0.190, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9981, loss_cls: 0.4289, loss: 0.4289 2023-12-13 16:31:29,803 - pyskl - INFO - Epoch [46][200/1281] lr: 1.981e-02, eta: 8:05:04, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9981, loss_cls: 0.4555, loss: 0.4555 2023-12-13 16:31:51,544 - pyskl - INFO - Epoch [46][300/1281] lr: 1.980e-02, eta: 8:04:42, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9981, loss_cls: 0.4587, loss: 0.4587 2023-12-13 16:32:13,515 - pyskl - INFO - Epoch [46][400/1281] lr: 1.978e-02, eta: 8:04:21, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9962, loss_cls: 0.5437, loss: 0.5437 2023-12-13 16:32:35,428 - pyskl - INFO - Epoch [46][500/1281] lr: 1.976e-02, eta: 8:04:00, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9950, loss_cls: 0.5068, loss: 0.5068 2023-12-13 16:32:57,272 - pyskl - INFO - Epoch [46][600/1281] lr: 1.975e-02, eta: 8:03:39, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9944, loss_cls: 0.5074, loss: 0.5074 2023-12-13 16:33:19,388 - pyskl - INFO - Epoch [46][700/1281] lr: 1.973e-02, eta: 8:03:18, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9975, loss_cls: 0.5252, loss: 0.5252 2023-12-13 16:33:41,353 - pyskl - INFO - Epoch [46][800/1281] lr: 1.971e-02, eta: 8:02:57, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9956, loss_cls: 0.5033, loss: 0.5033 2023-12-13 16:34:03,370 - pyskl - INFO - Epoch [46][900/1281] lr: 1.970e-02, eta: 8:02:36, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9931, loss_cls: 0.5155, loss: 0.5155 2023-12-13 16:34:25,474 - pyskl - INFO - Epoch [46][1000/1281] lr: 1.968e-02, eta: 8:02:16, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9950, loss_cls: 0.5291, loss: 0.5291 2023-12-13 16:34:46,983 - pyskl - INFO - Epoch [46][1100/1281] lr: 1.966e-02, eta: 8:01:54, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9969, loss_cls: 0.4376, loss: 0.4376 2023-12-13 16:35:08,508 - pyskl - INFO - Epoch [46][1200/1281] lr: 1.965e-02, eta: 8:01:32, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9969, loss_cls: 0.4472, loss: 0.4472 2023-12-13 16:35:26,815 - pyskl - INFO - Saving checkpoint at 46 epochs 2023-12-13 16:36:14,080 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 16:36:14,140 - pyskl - INFO - top1_acc 0.8377 top5_acc 0.9870 2023-12-13 16:36:14,140 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 16:36:14,149 - pyskl - INFO - mean_acc 0.7986 2023-12-13 16:36:14,152 - pyskl - INFO - Epoch(val) [46][533] top1_acc: 0.8377, top5_acc: 0.9870, mean_class_accuracy: 0.7986 2023-12-13 16:36:58,117 - pyskl - INFO - Epoch [47][100/1281] lr: 1.962e-02, eta: 8:01:03, time: 0.440, data_time: 0.221, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9981, loss_cls: 0.4512, loss: 0.4512 2023-12-13 16:37:20,015 - pyskl - INFO - Epoch [47][200/1281] lr: 1.960e-02, eta: 8:00:42, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9956, loss_cls: 0.4856, loss: 0.4856 2023-12-13 16:37:42,118 - pyskl - INFO - Epoch [47][300/1281] lr: 1.958e-02, eta: 8:00:21, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9962, loss_cls: 0.4496, loss: 0.4496 2023-12-13 16:38:03,851 - pyskl - INFO - Epoch [47][400/1281] lr: 1.957e-02, eta: 8:00:00, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9975, loss_cls: 0.4604, loss: 0.4604 2023-12-13 16:38:25,717 - pyskl - INFO - Epoch [47][500/1281] lr: 1.955e-02, eta: 7:59:38, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 0.4472, loss: 0.4472 2023-12-13 16:38:47,130 - pyskl - INFO - Epoch [47][600/1281] lr: 1.953e-02, eta: 7:59:16, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9988, loss_cls: 0.4386, loss: 0.4386 2023-12-13 16:39:08,409 - pyskl - INFO - Epoch [47][700/1281] lr: 1.952e-02, eta: 7:58:53, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 0.4382, loss: 0.4382 2023-12-13 16:39:29,688 - pyskl - INFO - Epoch [47][800/1281] lr: 1.950e-02, eta: 7:58:31, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9969, loss_cls: 0.5266, loss: 0.5266 2023-12-13 16:39:51,639 - pyskl - INFO - Epoch [47][900/1281] lr: 1.948e-02, eta: 7:58:10, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9956, loss_cls: 0.5237, loss: 0.5237 2023-12-13 16:40:13,927 - pyskl - INFO - Epoch [47][1000/1281] lr: 1.947e-02, eta: 7:57:49, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9925, loss_cls: 0.5476, loss: 0.5476 2023-12-13 16:40:35,715 - pyskl - INFO - Epoch [47][1100/1281] lr: 1.945e-02, eta: 7:57:28, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9956, loss_cls: 0.4854, loss: 0.4854 2023-12-13 16:40:57,563 - pyskl - INFO - Epoch [47][1200/1281] lr: 1.943e-02, eta: 7:57:07, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9981, loss_cls: 0.4976, loss: 0.4976 2023-12-13 16:41:16,381 - pyskl - INFO - Saving checkpoint at 47 epochs 2023-12-13 16:42:03,228 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 16:42:03,286 - pyskl - INFO - top1_acc 0.8541 top5_acc 0.9913 2023-12-13 16:42:03,287 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 16:42:03,295 - pyskl - INFO - mean_acc 0.8116 2023-12-13 16:42:03,298 - pyskl - INFO - Epoch(val) [47][533] top1_acc: 0.8541, top5_acc: 0.9913, mean_class_accuracy: 0.8116 2023-12-13 16:42:44,409 - pyskl - INFO - Epoch [48][100/1281] lr: 1.940e-02, eta: 7:56:32, time: 0.411, data_time: 0.199, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9956, loss_cls: 0.5023, loss: 0.5023 2023-12-13 16:43:05,526 - pyskl - INFO - Epoch [48][200/1281] lr: 1.938e-02, eta: 7:56:09, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9981, loss_cls: 0.4733, loss: 0.4733 2023-12-13 16:43:27,070 - pyskl - INFO - Epoch [48][300/1281] lr: 1.937e-02, eta: 7:55:47, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9969, loss_cls: 0.5084, loss: 0.5084 2023-12-13 16:43:48,867 - pyskl - INFO - Epoch [48][400/1281] lr: 1.935e-02, eta: 7:55:25, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 0.4828, loss: 0.4828 2023-12-13 16:44:10,542 - pyskl - INFO - Epoch [48][500/1281] lr: 1.933e-02, eta: 7:55:03, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9994, loss_cls: 0.4884, loss: 0.4884 2023-12-13 16:44:32,684 - pyskl - INFO - Epoch [48][600/1281] lr: 1.932e-02, eta: 7:54:43, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9962, loss_cls: 0.5184, loss: 0.5184 2023-12-13 16:44:54,969 - pyskl - INFO - Epoch [48][700/1281] lr: 1.930e-02, eta: 7:54:22, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9981, loss_cls: 0.4978, loss: 0.4978 2023-12-13 16:45:16,662 - pyskl - INFO - Epoch [48][800/1281] lr: 1.928e-02, eta: 7:54:01, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9931, loss_cls: 0.5187, loss: 0.5187 2023-12-13 16:45:38,287 - pyskl - INFO - Epoch [48][900/1281] lr: 1.926e-02, eta: 7:53:39, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9988, loss_cls: 0.4440, loss: 0.4440 2023-12-13 16:46:00,236 - pyskl - INFO - Epoch [48][1000/1281] lr: 1.925e-02, eta: 7:53:18, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 0.4800, loss: 0.4800 2023-12-13 16:46:22,102 - pyskl - INFO - Epoch [48][1100/1281] lr: 1.923e-02, eta: 7:52:56, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9969, loss_cls: 0.4874, loss: 0.4874 2023-12-13 16:46:43,633 - pyskl - INFO - Epoch [48][1200/1281] lr: 1.921e-02, eta: 7:52:34, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9938, loss_cls: 0.4832, loss: 0.4832 2023-12-13 16:47:01,588 - pyskl - INFO - Saving checkpoint at 48 epochs 2023-12-13 16:47:45,965 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 16:47:46,026 - pyskl - INFO - top1_acc 0.8464 top5_acc 0.9913 2023-12-13 16:47:46,026 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 16:47:46,035 - pyskl - INFO - mean_acc 0.7921 2023-12-13 16:47:46,038 - pyskl - INFO - Epoch(val) [48][533] top1_acc: 0.8464, top5_acc: 0.9913, mean_class_accuracy: 0.7921 2023-12-13 16:48:27,865 - pyskl - INFO - Epoch [49][100/1281] lr: 1.918e-02, eta: 7:52:01, time: 0.418, data_time: 0.201, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 0.4231, loss: 0.4231 2023-12-13 16:48:49,651 - pyskl - INFO - Epoch [49][200/1281] lr: 1.916e-02, eta: 7:51:39, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 1.0000, loss_cls: 0.3965, loss: 0.3965 2023-12-13 16:49:11,529 - pyskl - INFO - Epoch [49][300/1281] lr: 1.915e-02, eta: 7:51:18, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9975, loss_cls: 0.4661, loss: 0.4661 2023-12-13 16:49:33,177 - pyskl - INFO - Epoch [49][400/1281] lr: 1.913e-02, eta: 7:50:56, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9988, loss_cls: 0.4894, loss: 0.4894 2023-12-13 16:49:55,436 - pyskl - INFO - Epoch [49][500/1281] lr: 1.911e-02, eta: 7:50:35, time: 0.223, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 0.4688, loss: 0.4688 2023-12-13 16:50:17,398 - pyskl - INFO - Epoch [49][600/1281] lr: 1.909e-02, eta: 7:50:14, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9975, loss_cls: 0.4849, loss: 0.4849 2023-12-13 16:50:39,269 - pyskl - INFO - Epoch [49][700/1281] lr: 1.908e-02, eta: 7:49:53, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9938, loss_cls: 0.5143, loss: 0.5143 2023-12-13 16:51:00,291 - pyskl - INFO - Epoch [49][800/1281] lr: 1.906e-02, eta: 7:49:30, time: 0.210, data_time: 0.000, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9969, loss_cls: 0.4738, loss: 0.4738 2023-12-13 16:51:21,677 - pyskl - INFO - Epoch [49][900/1281] lr: 1.904e-02, eta: 7:49:08, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9969, loss_cls: 0.4873, loss: 0.4873 2023-12-13 16:51:42,920 - pyskl - INFO - Epoch [49][1000/1281] lr: 1.902e-02, eta: 7:48:45, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9962, loss_cls: 0.4288, loss: 0.4288 2023-12-13 16:52:04,604 - pyskl - INFO - Epoch [49][1100/1281] lr: 1.901e-02, eta: 7:48:23, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9950, loss_cls: 0.5162, loss: 0.5162 2023-12-13 16:52:26,506 - pyskl - INFO - Epoch [49][1200/1281] lr: 1.899e-02, eta: 7:48:02, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 0.5145, loss: 0.5145 2023-12-13 16:52:45,095 - pyskl - INFO - Saving checkpoint at 49 epochs 2023-12-13 16:53:33,142 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 16:53:33,211 - pyskl - INFO - top1_acc 0.8562 top5_acc 0.9917 2023-12-13 16:53:33,211 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 16:53:33,223 - pyskl - INFO - mean_acc 0.8114 2023-12-13 16:53:33,227 - pyskl - INFO - Epoch(val) [49][533] top1_acc: 0.8562, top5_acc: 0.9917, mean_class_accuracy: 0.8114 2023-12-13 16:54:16,252 - pyskl - INFO - Epoch [50][100/1281] lr: 1.896e-02, eta: 7:47:30, time: 0.430, data_time: 0.208, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9944, loss_cls: 0.5362, loss: 0.5362 2023-12-13 16:54:38,384 - pyskl - INFO - Epoch [50][200/1281] lr: 1.894e-02, eta: 7:47:10, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9994, loss_cls: 0.4983, loss: 0.4983 2023-12-13 16:55:00,062 - pyskl - INFO - Epoch [50][300/1281] lr: 1.892e-02, eta: 7:46:48, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9988, loss_cls: 0.4735, loss: 0.4735 2023-12-13 16:55:21,419 - pyskl - INFO - Epoch [50][400/1281] lr: 1.891e-02, eta: 7:46:26, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9962, loss_cls: 0.4064, loss: 0.4064 2023-12-13 16:55:42,696 - pyskl - INFO - Epoch [50][500/1281] lr: 1.889e-02, eta: 7:46:03, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9975, loss_cls: 0.4143, loss: 0.4143 2023-12-13 16:56:04,249 - pyskl - INFO - Epoch [50][600/1281] lr: 1.887e-02, eta: 7:45:41, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9931, loss_cls: 0.5090, loss: 0.5090 2023-12-13 16:56:26,215 - pyskl - INFO - Epoch [50][700/1281] lr: 1.885e-02, eta: 7:45:20, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9956, loss_cls: 0.4256, loss: 0.4256 2023-12-13 16:56:48,378 - pyskl - INFO - Epoch [50][800/1281] lr: 1.884e-02, eta: 7:44:59, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9975, loss_cls: 0.5053, loss: 0.5053 2023-12-13 16:57:10,072 - pyskl - INFO - Epoch [50][900/1281] lr: 1.882e-02, eta: 7:44:37, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9988, loss_cls: 0.4996, loss: 0.4996 2023-12-13 16:57:31,954 - pyskl - INFO - Epoch [50][1000/1281] lr: 1.880e-02, eta: 7:44:16, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9981, loss_cls: 0.4751, loss: 0.4751 2023-12-13 16:57:53,965 - pyskl - INFO - Epoch [50][1100/1281] lr: 1.878e-02, eta: 7:43:55, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9944, loss_cls: 0.4594, loss: 0.4594 2023-12-13 16:58:16,103 - pyskl - INFO - Epoch [50][1200/1281] lr: 1.876e-02, eta: 7:43:34, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9962, loss_cls: 0.4411, loss: 0.4411 2023-12-13 16:58:34,736 - pyskl - INFO - Saving checkpoint at 50 epochs 2023-12-13 16:59:20,789 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 16:59:20,848 - pyskl - INFO - top1_acc 0.8708 top5_acc 0.9920 2023-12-13 16:59:20,848 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 16:59:20,857 - pyskl - INFO - mean_acc 0.8155 2023-12-13 16:59:20,859 - pyskl - INFO - Epoch(val) [50][533] top1_acc: 0.8708, top5_acc: 0.9920, mean_class_accuracy: 0.8155 2023-12-13 17:00:00,861 - pyskl - INFO - Epoch [51][100/1281] lr: 1.873e-02, eta: 7:42:56, time: 0.400, data_time: 0.185, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9962, loss_cls: 0.3946, loss: 0.3946 2023-12-13 17:00:22,796 - pyskl - INFO - Epoch [51][200/1281] lr: 1.871e-02, eta: 7:42:35, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9975, loss_cls: 0.3749, loss: 0.3749 2023-12-13 17:00:44,334 - pyskl - INFO - Epoch [51][300/1281] lr: 1.870e-02, eta: 7:42:13, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9944, loss_cls: 0.4685, loss: 0.4685 2023-12-13 17:01:05,936 - pyskl - INFO - Epoch [51][400/1281] lr: 1.868e-02, eta: 7:41:51, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9988, loss_cls: 0.4259, loss: 0.4259 2023-12-13 17:01:27,733 - pyskl - INFO - Epoch [51][500/1281] lr: 1.866e-02, eta: 7:41:30, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 0.4118, loss: 0.4118 2023-12-13 17:01:49,597 - pyskl - INFO - Epoch [51][600/1281] lr: 1.864e-02, eta: 7:41:08, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9938, loss_cls: 0.5325, loss: 0.5325 2023-12-13 17:02:11,625 - pyskl - INFO - Epoch [51][700/1281] lr: 1.863e-02, eta: 7:40:47, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 0.4737, loss: 0.4737 2023-12-13 17:02:33,796 - pyskl - INFO - Epoch [51][800/1281] lr: 1.861e-02, eta: 7:40:26, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9950, loss_cls: 0.5012, loss: 0.5012 2023-12-13 17:02:55,531 - pyskl - INFO - Epoch [51][900/1281] lr: 1.859e-02, eta: 7:40:05, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9944, loss_cls: 0.5160, loss: 0.5160 2023-12-13 17:03:16,924 - pyskl - INFO - Epoch [51][1000/1281] lr: 1.857e-02, eta: 7:39:42, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9975, loss_cls: 0.4767, loss: 0.4767 2023-12-13 17:03:38,040 - pyskl - INFO - Epoch [51][1100/1281] lr: 1.855e-02, eta: 7:39:20, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.4449, loss: 0.4449 2023-12-13 17:03:59,250 - pyskl - INFO - Epoch [51][1200/1281] lr: 1.854e-02, eta: 7:38:57, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9950, loss_cls: 0.5153, loss: 0.5153 2023-12-13 17:04:17,660 - pyskl - INFO - Saving checkpoint at 51 epochs 2023-12-13 17:05:04,510 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 17:05:04,598 - pyskl - INFO - top1_acc 0.8620 top5_acc 0.9893 2023-12-13 17:05:04,598 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 17:05:04,610 - pyskl - INFO - mean_acc 0.8014 2023-12-13 17:05:04,613 - pyskl - INFO - Epoch(val) [51][533] top1_acc: 0.8620, top5_acc: 0.9893, mean_class_accuracy: 0.8014 2023-12-13 17:05:47,690 - pyskl - INFO - Epoch [52][100/1281] lr: 1.850e-02, eta: 7:38:25, time: 0.431, data_time: 0.209, memory: 4120, top1_acc: 0.9144, top5_acc: 1.0000, loss_cls: 0.4510, loss: 0.4510 2023-12-13 17:06:09,899 - pyskl - INFO - Epoch [52][200/1281] lr: 1.849e-02, eta: 7:38:04, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 0.4197, loss: 0.4197 2023-12-13 17:06:31,618 - pyskl - INFO - Epoch [52][300/1281] lr: 1.847e-02, eta: 7:37:43, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 0.5278, loss: 0.5278 2023-12-13 17:06:53,566 - pyskl - INFO - Epoch [52][400/1281] lr: 1.845e-02, eta: 7:37:21, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9956, loss_cls: 0.4277, loss: 0.4277 2023-12-13 17:07:15,428 - pyskl - INFO - Epoch [52][500/1281] lr: 1.843e-02, eta: 7:37:00, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9969, loss_cls: 0.4199, loss: 0.4199 2023-12-13 17:07:36,687 - pyskl - INFO - Epoch [52][600/1281] lr: 1.841e-02, eta: 7:36:37, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9950, loss_cls: 0.4612, loss: 0.4612 2023-12-13 17:07:57,808 - pyskl - INFO - Epoch [52][700/1281] lr: 1.840e-02, eta: 7:36:15, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9969, loss_cls: 0.5070, loss: 0.5070 2023-12-13 17:08:19,793 - pyskl - INFO - Epoch [52][800/1281] lr: 1.838e-02, eta: 7:35:53, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9956, loss_cls: 0.4710, loss: 0.4710 2023-12-13 17:08:41,855 - pyskl - INFO - Epoch [52][900/1281] lr: 1.836e-02, eta: 7:35:32, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9956, loss_cls: 0.4375, loss: 0.4375 2023-12-13 17:09:03,896 - pyskl - INFO - Epoch [52][1000/1281] lr: 1.834e-02, eta: 7:35:11, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9969, loss_cls: 0.5049, loss: 0.5049 2023-12-13 17:09:25,785 - pyskl - INFO - Epoch [52][1100/1281] lr: 1.832e-02, eta: 7:34:50, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9962, loss_cls: 0.4198, loss: 0.4198 2023-12-13 17:09:47,541 - pyskl - INFO - Epoch [52][1200/1281] lr: 1.831e-02, eta: 7:34:28, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9981, loss_cls: 0.4966, loss: 0.4966 2023-12-13 17:10:06,258 - pyskl - INFO - Saving checkpoint at 52 epochs 2023-12-13 17:10:52,605 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 17:10:52,675 - pyskl - INFO - top1_acc 0.8723 top5_acc 0.9931 2023-12-13 17:10:52,675 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 17:10:52,686 - pyskl - INFO - mean_acc 0.8213 2023-12-13 17:10:52,689 - pyskl - INFO - Epoch(val) [52][533] top1_acc: 0.8723, top5_acc: 0.9931, mean_class_accuracy: 0.8213 2023-12-13 17:11:33,863 - pyskl - INFO - Epoch [53][100/1281] lr: 1.827e-02, eta: 7:33:52, time: 0.412, data_time: 0.200, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9975, loss_cls: 0.4091, loss: 0.4091 2023-12-13 17:11:55,126 - pyskl - INFO - Epoch [53][200/1281] lr: 1.826e-02, eta: 7:33:30, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9994, loss_cls: 0.5080, loss: 0.5080 2023-12-13 17:12:16,513 - pyskl - INFO - Epoch [53][300/1281] lr: 1.824e-02, eta: 7:33:08, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9975, loss_cls: 0.4264, loss: 0.4264 2023-12-13 17:12:38,351 - pyskl - INFO - Epoch [53][400/1281] lr: 1.822e-02, eta: 7:32:46, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9962, loss_cls: 0.5078, loss: 0.5078 2023-12-13 17:13:00,232 - pyskl - INFO - Epoch [53][500/1281] lr: 1.820e-02, eta: 7:32:25, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9969, loss_cls: 0.4198, loss: 0.4198 2023-12-13 17:13:22,351 - pyskl - INFO - Epoch [53][600/1281] lr: 1.818e-02, eta: 7:32:04, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9969, loss_cls: 0.4114, loss: 0.4114 2023-12-13 17:13:44,268 - pyskl - INFO - Epoch [53][700/1281] lr: 1.816e-02, eta: 7:31:42, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 0.4295, loss: 0.4295 2023-12-13 17:14:06,084 - pyskl - INFO - Epoch [53][800/1281] lr: 1.815e-02, eta: 7:31:21, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 0.4194, loss: 0.4194 2023-12-13 17:14:28,061 - pyskl - INFO - Epoch [53][900/1281] lr: 1.813e-02, eta: 7:31:00, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9962, loss_cls: 0.4603, loss: 0.4603 2023-12-13 17:14:49,703 - pyskl - INFO - Epoch [53][1000/1281] lr: 1.811e-02, eta: 7:30:38, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9981, loss_cls: 0.4664, loss: 0.4664 2023-12-13 17:15:12,089 - pyskl - INFO - Epoch [53][1100/1281] lr: 1.809e-02, eta: 7:30:17, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9981, loss_cls: 0.4577, loss: 0.4577 2023-12-13 17:15:33,498 - pyskl - INFO - Epoch [53][1200/1281] lr: 1.807e-02, eta: 7:29:55, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9975, loss_cls: 0.4778, loss: 0.4778 2023-12-13 17:15:51,384 - pyskl - INFO - Saving checkpoint at 53 epochs 2023-12-13 17:16:36,771 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 17:16:36,836 - pyskl - INFO - top1_acc 0.8765 top5_acc 0.9914 2023-12-13 17:16:36,836 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 17:16:36,846 - pyskl - INFO - mean_acc 0.8272 2023-12-13 17:16:36,850 - pyskl - INFO - Epoch(val) [53][533] top1_acc: 0.8765, top5_acc: 0.9914, mean_class_accuracy: 0.8272 2023-12-13 17:17:19,723 - pyskl - INFO - Epoch [54][100/1281] lr: 1.804e-02, eta: 7:29:22, time: 0.429, data_time: 0.207, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 0.3600, loss: 0.3600 2023-12-13 17:17:41,629 - pyskl - INFO - Epoch [54][200/1281] lr: 1.802e-02, eta: 7:29:01, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9969, loss_cls: 0.4045, loss: 0.4045 2023-12-13 17:18:03,739 - pyskl - INFO - Epoch [54][300/1281] lr: 1.800e-02, eta: 7:28:40, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9956, loss_cls: 0.4296, loss: 0.4296 2023-12-13 17:18:25,767 - pyskl - INFO - Epoch [54][400/1281] lr: 1.798e-02, eta: 7:28:19, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9975, loss_cls: 0.4506, loss: 0.4506 2023-12-13 17:18:47,766 - pyskl - INFO - Epoch [54][500/1281] lr: 1.797e-02, eta: 7:27:58, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 0.4090, loss: 0.4090 2023-12-13 17:19:09,653 - pyskl - INFO - Epoch [54][600/1281] lr: 1.795e-02, eta: 7:27:36, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9962, loss_cls: 0.5221, loss: 0.5221 2023-12-13 17:19:30,967 - pyskl - INFO - Epoch [54][700/1281] lr: 1.793e-02, eta: 7:27:14, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9969, loss_cls: 0.4628, loss: 0.4628 2023-12-13 17:19:52,231 - pyskl - INFO - Epoch [54][800/1281] lr: 1.791e-02, eta: 7:26:51, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9969, loss_cls: 0.4901, loss: 0.4901 2023-12-13 17:20:13,606 - pyskl - INFO - Epoch [54][900/1281] lr: 1.789e-02, eta: 7:26:29, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9956, loss_cls: 0.4846, loss: 0.4846 2023-12-13 17:20:35,905 - pyskl - INFO - Epoch [54][1000/1281] lr: 1.787e-02, eta: 7:26:08, time: 0.223, data_time: 0.000, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9975, loss_cls: 0.4336, loss: 0.4336 2023-12-13 17:20:57,893 - pyskl - INFO - Epoch [54][1100/1281] lr: 1.786e-02, eta: 7:25:47, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 0.4414, loss: 0.4414 2023-12-13 17:21:19,836 - pyskl - INFO - Epoch [54][1200/1281] lr: 1.784e-02, eta: 7:25:26, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9994, loss_cls: 0.4549, loss: 0.4549 2023-12-13 17:21:38,879 - pyskl - INFO - Saving checkpoint at 54 epochs 2023-12-13 17:22:25,440 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 17:22:25,499 - pyskl - INFO - top1_acc 0.8568 top5_acc 0.9905 2023-12-13 17:22:25,499 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 17:22:25,508 - pyskl - INFO - mean_acc 0.8294 2023-12-13 17:22:25,511 - pyskl - INFO - Epoch(val) [54][533] top1_acc: 0.8568, top5_acc: 0.9905, mean_class_accuracy: 0.8294 2023-12-13 17:23:07,526 - pyskl - INFO - Epoch [55][100/1281] lr: 1.780e-02, eta: 7:24:51, time: 0.420, data_time: 0.203, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9969, loss_cls: 0.4595, loss: 0.4595 2023-12-13 17:23:28,663 - pyskl - INFO - Epoch [55][200/1281] lr: 1.779e-02, eta: 7:24:28, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9988, loss_cls: 0.4291, loss: 0.4291 2023-12-13 17:23:49,918 - pyskl - INFO - Epoch [55][300/1281] lr: 1.777e-02, eta: 7:24:06, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9981, loss_cls: 0.4824, loss: 0.4824 2023-12-13 17:24:11,340 - pyskl - INFO - Epoch [55][400/1281] lr: 1.775e-02, eta: 7:23:44, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9988, loss_cls: 0.4480, loss: 0.4480 2023-12-13 17:24:33,514 - pyskl - INFO - Epoch [55][500/1281] lr: 1.773e-02, eta: 7:23:23, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9962, loss_cls: 0.4248, loss: 0.4248 2023-12-13 17:24:55,367 - pyskl - INFO - Epoch [55][600/1281] lr: 1.771e-02, eta: 7:23:01, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 0.4265, loss: 0.4265 2023-12-13 17:25:17,104 - pyskl - INFO - Epoch [55][700/1281] lr: 1.769e-02, eta: 7:22:39, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9969, loss_cls: 0.4662, loss: 0.4662 2023-12-13 17:25:38,817 - pyskl - INFO - Epoch [55][800/1281] lr: 1.767e-02, eta: 7:22:18, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9950, loss_cls: 0.4671, loss: 0.4671 2023-12-13 17:26:00,479 - pyskl - INFO - Epoch [55][900/1281] lr: 1.766e-02, eta: 7:21:56, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9994, loss_cls: 0.4420, loss: 0.4420 2023-12-13 17:26:22,110 - pyskl - INFO - Epoch [55][1000/1281] lr: 1.764e-02, eta: 7:21:34, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9969, loss_cls: 0.4253, loss: 0.4253 2023-12-13 17:26:43,807 - pyskl - INFO - Epoch [55][1100/1281] lr: 1.762e-02, eta: 7:21:12, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9962, loss_cls: 0.4613, loss: 0.4613 2023-12-13 17:27:05,778 - pyskl - INFO - Epoch [55][1200/1281] lr: 1.760e-02, eta: 7:20:51, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9969, loss_cls: 0.4402, loss: 0.4402 2023-12-13 17:27:23,617 - pyskl - INFO - Saving checkpoint at 55 epochs 2023-12-13 17:28:08,280 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 17:28:08,339 - pyskl - INFO - top1_acc 0.8916 top5_acc 0.9942 2023-12-13 17:28:08,339 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 17:28:08,347 - pyskl - INFO - mean_acc 0.8477 2023-12-13 17:28:08,351 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_37.pth was removed 2023-12-13 17:28:08,606 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_55.pth. 2023-12-13 17:28:08,606 - pyskl - INFO - Best top1_acc is 0.8916 at 55 epoch. 2023-12-13 17:28:08,609 - pyskl - INFO - Epoch(val) [55][533] top1_acc: 0.8916, top5_acc: 0.9942, mean_class_accuracy: 0.8477 2023-12-13 17:28:51,150 - pyskl - INFO - Epoch [56][100/1281] lr: 1.757e-02, eta: 7:20:17, time: 0.425, data_time: 0.204, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9981, loss_cls: 0.4068, loss: 0.4068 2023-12-13 17:29:13,429 - pyskl - INFO - Epoch [56][200/1281] lr: 1.755e-02, eta: 7:19:56, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9975, loss_cls: 0.4535, loss: 0.4535 2023-12-13 17:29:35,419 - pyskl - INFO - Epoch [56][300/1281] lr: 1.753e-02, eta: 7:19:35, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9981, loss_cls: 0.4099, loss: 0.4099 2023-12-13 17:29:57,242 - pyskl - INFO - Epoch [56][400/1281] lr: 1.751e-02, eta: 7:19:14, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9981, loss_cls: 0.4526, loss: 0.4526 2023-12-13 17:30:19,284 - pyskl - INFO - Epoch [56][500/1281] lr: 1.749e-02, eta: 7:18:52, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9994, loss_cls: 0.4224, loss: 0.4224 2023-12-13 17:30:41,142 - pyskl - INFO - Epoch [56][600/1281] lr: 1.747e-02, eta: 7:18:31, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9956, loss_cls: 0.4867, loss: 0.4867 2023-12-13 17:31:03,302 - pyskl - INFO - Epoch [56][700/1281] lr: 1.745e-02, eta: 7:18:10, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9962, loss_cls: 0.4618, loss: 0.4618 2023-12-13 17:31:24,627 - pyskl - INFO - Epoch [56][800/1281] lr: 1.743e-02, eta: 7:17:47, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9956, loss_cls: 0.4432, loss: 0.4432 2023-12-13 17:31:45,713 - pyskl - INFO - Epoch [56][900/1281] lr: 1.742e-02, eta: 7:17:25, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9969, loss_cls: 0.4503, loss: 0.4503 2023-12-13 17:32:07,327 - pyskl - INFO - Epoch [56][1000/1281] lr: 1.740e-02, eta: 7:17:03, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 0.4181, loss: 0.4181 2023-12-13 17:32:29,433 - pyskl - INFO - Epoch [56][1100/1281] lr: 1.738e-02, eta: 7:16:42, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9956, loss_cls: 0.4775, loss: 0.4775 2023-12-13 17:32:51,403 - pyskl - INFO - Epoch [56][1200/1281] lr: 1.736e-02, eta: 7:16:20, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9950, loss_cls: 0.4518, loss: 0.4518 2023-12-13 17:33:09,964 - pyskl - INFO - Saving checkpoint at 56 epochs 2023-12-13 17:33:56,106 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 17:33:56,178 - pyskl - INFO - top1_acc 0.8609 top5_acc 0.9913 2023-12-13 17:33:56,178 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 17:33:56,196 - pyskl - INFO - mean_acc 0.8154 2023-12-13 17:33:56,202 - pyskl - INFO - Epoch(val) [56][533] top1_acc: 0.8609, top5_acc: 0.9913, mean_class_accuracy: 0.8154 2023-12-13 17:34:38,600 - pyskl - INFO - Epoch [57][100/1281] lr: 1.733e-02, eta: 7:15:46, time: 0.424, data_time: 0.205, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 0.3757, loss: 0.3757 2023-12-13 17:35:00,572 - pyskl - INFO - Epoch [57][200/1281] lr: 1.731e-02, eta: 7:15:25, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9962, loss_cls: 0.4768, loss: 0.4768 2023-12-13 17:35:21,863 - pyskl - INFO - Epoch [57][300/1281] lr: 1.729e-02, eta: 7:15:02, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9988, loss_cls: 0.3972, loss: 0.3972 2023-12-13 17:35:43,080 - pyskl - INFO - Epoch [57][400/1281] lr: 1.727e-02, eta: 7:14:40, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9969, loss_cls: 0.4282, loss: 0.4282 2023-12-13 17:36:04,345 - pyskl - INFO - Epoch [57][500/1281] lr: 1.725e-02, eta: 7:14:17, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 0.4389, loss: 0.4389 2023-12-13 17:36:26,367 - pyskl - INFO - Epoch [57][600/1281] lr: 1.723e-02, eta: 7:13:56, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9969, loss_cls: 0.4026, loss: 0.4026 2023-12-13 17:36:48,289 - pyskl - INFO - Epoch [57][700/1281] lr: 1.721e-02, eta: 7:13:35, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9938, loss_cls: 0.5187, loss: 0.5187 2023-12-13 17:37:10,089 - pyskl - INFO - Epoch [57][800/1281] lr: 1.719e-02, eta: 7:13:13, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 0.4507, loss: 0.4507 2023-12-13 17:37:32,007 - pyskl - INFO - Epoch [57][900/1281] lr: 1.717e-02, eta: 7:12:51, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9969, loss_cls: 0.4258, loss: 0.4258 2023-12-13 17:37:53,778 - pyskl - INFO - Epoch [57][1000/1281] lr: 1.716e-02, eta: 7:12:30, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9969, loss_cls: 0.4558, loss: 0.4558 2023-12-13 17:38:15,853 - pyskl - INFO - Epoch [57][1100/1281] lr: 1.714e-02, eta: 7:12:09, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9950, loss_cls: 0.5370, loss: 0.5370 2023-12-13 17:38:38,042 - pyskl - INFO - Epoch [57][1200/1281] lr: 1.712e-02, eta: 7:11:48, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9962, loss_cls: 0.4525, loss: 0.4525 2023-12-13 17:38:56,739 - pyskl - INFO - Saving checkpoint at 57 epochs 2023-12-13 17:39:41,647 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 17:39:41,723 - pyskl - INFO - top1_acc 0.8846 top5_acc 0.9923 2023-12-13 17:39:41,723 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 17:39:41,746 - pyskl - INFO - mean_acc 0.8373 2023-12-13 17:39:41,752 - pyskl - INFO - Epoch(val) [57][533] top1_acc: 0.8846, top5_acc: 0.9923, mean_class_accuracy: 0.8373 2023-12-13 17:40:22,331 - pyskl - INFO - Epoch [58][100/1281] lr: 1.708e-02, eta: 7:11:10, time: 0.406, data_time: 0.187, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 0.3694, loss: 0.3694 2023-12-13 17:40:44,381 - pyskl - INFO - Epoch [58][200/1281] lr: 1.706e-02, eta: 7:10:49, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9975, loss_cls: 0.3971, loss: 0.3971 2023-12-13 17:41:06,211 - pyskl - INFO - Epoch [58][300/1281] lr: 1.704e-02, eta: 7:10:28, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9994, loss_cls: 0.4032, loss: 0.4032 2023-12-13 17:41:27,826 - pyskl - INFO - Epoch [58][400/1281] lr: 1.703e-02, eta: 7:10:06, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9994, loss_cls: 0.3854, loss: 0.3854 2023-12-13 17:41:49,647 - pyskl - INFO - Epoch [58][500/1281] lr: 1.701e-02, eta: 7:09:44, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9981, loss_cls: 0.4027, loss: 0.4027 2023-12-13 17:42:11,338 - pyskl - INFO - Epoch [58][600/1281] lr: 1.699e-02, eta: 7:09:22, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9981, loss_cls: 0.4496, loss: 0.4496 2023-12-13 17:42:33,267 - pyskl - INFO - Epoch [58][700/1281] lr: 1.697e-02, eta: 7:09:01, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9969, loss_cls: 0.4272, loss: 0.4272 2023-12-13 17:42:55,266 - pyskl - INFO - Epoch [58][800/1281] lr: 1.695e-02, eta: 7:08:39, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9956, loss_cls: 0.4794, loss: 0.4794 2023-12-13 17:43:16,678 - pyskl - INFO - Epoch [58][900/1281] lr: 1.693e-02, eta: 7:08:17, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 0.4241, loss: 0.4241 2023-12-13 17:43:38,003 - pyskl - INFO - Epoch [58][1000/1281] lr: 1.691e-02, eta: 7:07:55, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9962, loss_cls: 0.4337, loss: 0.4337 2023-12-13 17:43:59,388 - pyskl - INFO - Epoch [58][1100/1281] lr: 1.689e-02, eta: 7:07:32, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9975, loss_cls: 0.4342, loss: 0.4342 2023-12-13 17:44:21,145 - pyskl - INFO - Epoch [58][1200/1281] lr: 1.687e-02, eta: 7:07:11, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9962, loss_cls: 0.4599, loss: 0.4599 2023-12-13 17:44:40,008 - pyskl - INFO - Saving checkpoint at 58 epochs 2023-12-13 17:45:27,074 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 17:45:27,134 - pyskl - INFO - top1_acc 0.8762 top5_acc 0.9900 2023-12-13 17:45:27,135 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 17:45:27,148 - pyskl - INFO - mean_acc 0.8216 2023-12-13 17:45:27,152 - pyskl - INFO - Epoch(val) [58][533] top1_acc: 0.8762, top5_acc: 0.9900, mean_class_accuracy: 0.8216 2023-12-13 17:46:09,340 - pyskl - INFO - Epoch [59][100/1281] lr: 1.684e-02, eta: 7:06:36, time: 0.422, data_time: 0.205, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 0.3606, loss: 0.3606 2023-12-13 17:46:31,224 - pyskl - INFO - Epoch [59][200/1281] lr: 1.682e-02, eta: 7:06:14, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 0.4442, loss: 0.4442 2023-12-13 17:46:53,443 - pyskl - INFO - Epoch [59][300/1281] lr: 1.680e-02, eta: 7:05:53, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.3816, loss: 0.3816 2023-12-13 17:47:14,930 - pyskl - INFO - Epoch [59][400/1281] lr: 1.678e-02, eta: 7:05:31, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9994, loss_cls: 0.3759, loss: 0.3759 2023-12-13 17:47:36,397 - pyskl - INFO - Epoch [59][500/1281] lr: 1.676e-02, eta: 7:05:09, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9962, loss_cls: 0.4646, loss: 0.4646 2023-12-13 17:47:57,704 - pyskl - INFO - Epoch [59][600/1281] lr: 1.674e-02, eta: 7:04:47, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9956, loss_cls: 0.4029, loss: 0.4029 2023-12-13 17:48:19,188 - pyskl - INFO - Epoch [59][700/1281] lr: 1.672e-02, eta: 7:04:25, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9950, loss_cls: 0.4444, loss: 0.4444 2023-12-13 17:48:41,072 - pyskl - INFO - Epoch [59][800/1281] lr: 1.670e-02, eta: 7:04:03, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9956, loss_cls: 0.4632, loss: 0.4632 2023-12-13 17:49:03,250 - pyskl - INFO - Epoch [59][900/1281] lr: 1.668e-02, eta: 7:03:42, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 0.4424, loss: 0.4424 2023-12-13 17:49:24,931 - pyskl - INFO - Epoch [59][1000/1281] lr: 1.667e-02, eta: 7:03:20, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9962, loss_cls: 0.4294, loss: 0.4294 2023-12-13 17:49:46,982 - pyskl - INFO - Epoch [59][1100/1281] lr: 1.665e-02, eta: 7:02:59, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 0.4445, loss: 0.4445 2023-12-13 17:50:09,083 - pyskl - INFO - Epoch [59][1200/1281] lr: 1.663e-02, eta: 7:02:38, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9969, loss_cls: 0.4332, loss: 0.4332 2023-12-13 17:50:27,865 - pyskl - INFO - Saving checkpoint at 59 epochs 2023-12-13 17:51:14,834 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 17:51:14,889 - pyskl - INFO - top1_acc 0.8659 top5_acc 0.9920 2023-12-13 17:51:14,889 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 17:51:14,895 - pyskl - INFO - mean_acc 0.8173 2023-12-13 17:51:14,896 - pyskl - INFO - Epoch(val) [59][533] top1_acc: 0.8659, top5_acc: 0.9920, mean_class_accuracy: 0.8173 2023-12-13 17:51:55,133 - pyskl - INFO - Epoch [60][100/1281] lr: 1.659e-02, eta: 7:02:00, time: 0.402, data_time: 0.191, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9981, loss_cls: 0.3925, loss: 0.3925 2023-12-13 17:52:16,702 - pyskl - INFO - Epoch [60][200/1281] lr: 1.657e-02, eta: 7:01:38, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9975, loss_cls: 0.4406, loss: 0.4406 2023-12-13 17:52:38,517 - pyskl - INFO - Epoch [60][300/1281] lr: 1.655e-02, eta: 7:01:16, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9975, loss_cls: 0.4159, loss: 0.4159 2023-12-13 17:53:00,723 - pyskl - INFO - Epoch [60][400/1281] lr: 1.653e-02, eta: 7:00:55, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 0.4341, loss: 0.4341 2023-12-13 17:53:22,618 - pyskl - INFO - Epoch [60][500/1281] lr: 1.651e-02, eta: 7:00:34, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 0.3946, loss: 0.3946 2023-12-13 17:53:44,606 - pyskl - INFO - Epoch [60][600/1281] lr: 1.650e-02, eta: 7:00:12, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 0.4000, loss: 0.4000 2023-12-13 17:54:06,535 - pyskl - INFO - Epoch [60][700/1281] lr: 1.648e-02, eta: 6:59:51, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9975, loss_cls: 0.4014, loss: 0.4014 2023-12-13 17:54:28,654 - pyskl - INFO - Epoch [60][800/1281] lr: 1.646e-02, eta: 6:59:30, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9981, loss_cls: 0.3478, loss: 0.3478 2023-12-13 17:54:50,598 - pyskl - INFO - Epoch [60][900/1281] lr: 1.644e-02, eta: 6:59:08, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9988, loss_cls: 0.3831, loss: 0.3831 2023-12-13 17:55:12,060 - pyskl - INFO - Epoch [60][1000/1281] lr: 1.642e-02, eta: 6:58:46, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9950, loss_cls: 0.4638, loss: 0.4638 2023-12-13 17:55:33,169 - pyskl - INFO - Epoch [60][1100/1281] lr: 1.640e-02, eta: 6:58:23, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9969, loss_cls: 0.5020, loss: 0.5020 2023-12-13 17:55:54,351 - pyskl - INFO - Epoch [60][1200/1281] lr: 1.638e-02, eta: 6:58:01, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9988, loss_cls: 0.4146, loss: 0.4146 2023-12-13 17:56:12,999 - pyskl - INFO - Saving checkpoint at 60 epochs 2023-12-13 17:56:59,997 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 17:57:00,055 - pyskl - INFO - top1_acc 0.8750 top5_acc 0.9921 2023-12-13 17:57:00,055 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 17:57:00,063 - pyskl - INFO - mean_acc 0.8473 2023-12-13 17:57:00,066 - pyskl - INFO - Epoch(val) [60][533] top1_acc: 0.8750, top5_acc: 0.9921, mean_class_accuracy: 0.8473 2023-12-13 17:57:42,081 - pyskl - INFO - Epoch [61][100/1281] lr: 1.634e-02, eta: 6:57:25, time: 0.420, data_time: 0.203, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 0.3698, loss: 0.3698 2023-12-13 17:58:04,035 - pyskl - INFO - Epoch [61][200/1281] lr: 1.632e-02, eta: 6:57:04, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9994, loss_cls: 0.3961, loss: 0.3961 2023-12-13 17:58:25,660 - pyskl - INFO - Epoch [61][300/1281] lr: 1.630e-02, eta: 6:56:42, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9975, loss_cls: 0.3910, loss: 0.3910 2023-12-13 17:58:47,709 - pyskl - INFO - Epoch [61][400/1281] lr: 1.629e-02, eta: 6:56:21, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 0.4698, loss: 0.4698 2023-12-13 17:59:09,200 - pyskl - INFO - Epoch [61][500/1281] lr: 1.627e-02, eta: 6:55:59, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 0.4071, loss: 0.4071 2023-12-13 17:59:30,671 - pyskl - INFO - Epoch [61][600/1281] lr: 1.625e-02, eta: 6:55:36, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9956, loss_cls: 0.4443, loss: 0.4443 2023-12-13 17:59:51,962 - pyskl - INFO - Epoch [61][700/1281] lr: 1.623e-02, eta: 6:55:14, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9981, loss_cls: 0.4090, loss: 0.4090 2023-12-13 18:00:13,497 - pyskl - INFO - Epoch [61][800/1281] lr: 1.621e-02, eta: 6:54:52, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9969, loss_cls: 0.4158, loss: 0.4158 2023-12-13 18:00:35,142 - pyskl - INFO - Epoch [61][900/1281] lr: 1.619e-02, eta: 6:54:30, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9969, loss_cls: 0.4336, loss: 0.4336 2023-12-13 18:00:57,209 - pyskl - INFO - Epoch [61][1000/1281] lr: 1.617e-02, eta: 6:54:09, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9962, loss_cls: 0.4519, loss: 0.4519 2023-12-13 18:01:19,090 - pyskl - INFO - Epoch [61][1100/1281] lr: 1.615e-02, eta: 6:53:47, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9975, loss_cls: 0.4231, loss: 0.4231 2023-12-13 18:01:40,870 - pyskl - INFO - Epoch [61][1200/1281] lr: 1.613e-02, eta: 6:53:26, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4375, loss: 0.4375 2023-12-13 18:01:59,159 - pyskl - INFO - Saving checkpoint at 61 epochs 2023-12-13 18:02:46,009 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 18:02:46,071 - pyskl - INFO - top1_acc 0.8700 top5_acc 0.9938 2023-12-13 18:02:46,071 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 18:02:46,083 - pyskl - INFO - mean_acc 0.8107 2023-12-13 18:02:46,087 - pyskl - INFO - Epoch(val) [61][533] top1_acc: 0.8700, top5_acc: 0.9938, mean_class_accuracy: 0.8107 2023-12-13 18:03:27,432 - pyskl - INFO - Epoch [62][100/1281] lr: 1.609e-02, eta: 6:52:49, time: 0.413, data_time: 0.200, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 0.3469, loss: 0.3469 2023-12-13 18:03:48,761 - pyskl - INFO - Epoch [62][200/1281] lr: 1.607e-02, eta: 6:52:27, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 0.4030, loss: 0.4030 2023-12-13 18:04:10,454 - pyskl - INFO - Epoch [62][300/1281] lr: 1.605e-02, eta: 6:52:05, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9981, loss_cls: 0.4119, loss: 0.4119 2023-12-13 18:04:32,695 - pyskl - INFO - Epoch [62][400/1281] lr: 1.603e-02, eta: 6:51:44, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9962, loss_cls: 0.4311, loss: 0.4311 2023-12-13 18:04:54,937 - pyskl - INFO - Epoch [62][500/1281] lr: 1.602e-02, eta: 6:51:23, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9956, loss_cls: 0.4225, loss: 0.4225 2023-12-13 18:05:16,939 - pyskl - INFO - Epoch [62][600/1281] lr: 1.600e-02, eta: 6:51:02, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9975, loss_cls: 0.3812, loss: 0.3812 2023-12-13 18:05:38,877 - pyskl - INFO - Epoch [62][700/1281] lr: 1.598e-02, eta: 6:50:40, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9969, loss_cls: 0.3867, loss: 0.3867 2023-12-13 18:06:00,657 - pyskl - INFO - Epoch [62][800/1281] lr: 1.596e-02, eta: 6:50:18, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9962, loss_cls: 0.4369, loss: 0.4369 2023-12-13 18:06:22,579 - pyskl - INFO - Epoch [62][900/1281] lr: 1.594e-02, eta: 6:49:57, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9938, loss_cls: 0.4696, loss: 0.4696 2023-12-13 18:06:44,682 - pyskl - INFO - Epoch [62][1000/1281] lr: 1.592e-02, eta: 6:49:36, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9975, loss_cls: 0.3789, loss: 0.3789 2023-12-13 18:07:06,219 - pyskl - INFO - Epoch [62][1100/1281] lr: 1.590e-02, eta: 6:49:14, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 0.3629, loss: 0.3629 2023-12-13 18:07:27,614 - pyskl - INFO - Epoch [62][1200/1281] lr: 1.588e-02, eta: 6:48:51, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 0.4159, loss: 0.4159 2023-12-13 18:07:45,492 - pyskl - INFO - Saving checkpoint at 62 epochs 2023-12-13 18:08:32,056 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 18:08:32,135 - pyskl - INFO - top1_acc 0.8815 top5_acc 0.9933 2023-12-13 18:08:32,135 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 18:08:32,143 - pyskl - INFO - mean_acc 0.8322 2023-12-13 18:08:32,147 - pyskl - INFO - Epoch(val) [62][533] top1_acc: 0.8815, top5_acc: 0.9933, mean_class_accuracy: 0.8322 2023-12-13 18:09:15,224 - pyskl - INFO - Epoch [63][100/1281] lr: 1.584e-02, eta: 6:48:17, time: 0.431, data_time: 0.209, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9988, loss_cls: 0.3667, loss: 0.3667 2023-12-13 18:09:37,189 - pyskl - INFO - Epoch [63][200/1281] lr: 1.582e-02, eta: 6:47:56, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.3284, loss: 0.3284 2023-12-13 18:09:59,030 - pyskl - INFO - Epoch [63][300/1281] lr: 1.580e-02, eta: 6:47:34, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9981, loss_cls: 0.4207, loss: 0.4207 2023-12-13 18:10:20,974 - pyskl - INFO - Epoch [63][400/1281] lr: 1.578e-02, eta: 6:47:13, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9969, loss_cls: 0.4081, loss: 0.4081 2023-12-13 18:10:42,909 - pyskl - INFO - Epoch [63][500/1281] lr: 1.576e-02, eta: 6:46:51, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.4006, loss: 0.4006 2023-12-13 18:11:04,175 - pyskl - INFO - Epoch [63][600/1281] lr: 1.574e-02, eta: 6:46:29, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9981, loss_cls: 0.4017, loss: 0.4017 2023-12-13 18:11:25,528 - pyskl - INFO - Epoch [63][700/1281] lr: 1.572e-02, eta: 6:46:06, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 0.4296, loss: 0.4296 2023-12-13 18:11:46,887 - pyskl - INFO - Epoch [63][800/1281] lr: 1.570e-02, eta: 6:45:44, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9962, loss_cls: 0.4440, loss: 0.4440 2023-12-13 18:12:08,549 - pyskl - INFO - Epoch [63][900/1281] lr: 1.568e-02, eta: 6:45:22, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 0.3974, loss: 0.3974 2023-12-13 18:12:30,408 - pyskl - INFO - Epoch [63][1000/1281] lr: 1.566e-02, eta: 6:45:01, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9962, loss_cls: 0.4024, loss: 0.4024 2023-12-13 18:12:52,562 - pyskl - INFO - Epoch [63][1100/1281] lr: 1.564e-02, eta: 6:44:39, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9944, loss_cls: 0.4715, loss: 0.4715 2023-12-13 18:13:14,450 - pyskl - INFO - Epoch [63][1200/1281] lr: 1.562e-02, eta: 6:44:18, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9975, loss_cls: 0.4502, loss: 0.4502 2023-12-13 18:13:33,046 - pyskl - INFO - Saving checkpoint at 63 epochs 2023-12-13 18:14:19,744 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 18:14:19,831 - pyskl - INFO - top1_acc 0.8774 top5_acc 0.9938 2023-12-13 18:14:19,831 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 18:14:19,848 - pyskl - INFO - mean_acc 0.8455 2023-12-13 18:14:19,855 - pyskl - INFO - Epoch(val) [63][533] top1_acc: 0.8774, top5_acc: 0.9938, mean_class_accuracy: 0.8455 2023-12-13 18:15:02,095 - pyskl - INFO - Epoch [64][100/1281] lr: 1.559e-02, eta: 6:43:42, time: 0.422, data_time: 0.208, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.3330, loss: 0.3330 2023-12-13 18:15:23,634 - pyskl - INFO - Epoch [64][200/1281] lr: 1.557e-02, eta: 6:43:20, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 1.0000, loss_cls: 0.3196, loss: 0.3196 2023-12-13 18:15:45,093 - pyskl - INFO - Epoch [64][300/1281] lr: 1.555e-02, eta: 6:42:58, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3816, loss: 0.3816 2023-12-13 18:16:06,895 - pyskl - INFO - Epoch [64][400/1281] lr: 1.553e-02, eta: 6:42:37, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9975, loss_cls: 0.4586, loss: 0.4586 2023-12-13 18:16:28,792 - pyskl - INFO - Epoch [64][500/1281] lr: 1.551e-02, eta: 6:42:15, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9975, loss_cls: 0.4092, loss: 0.4092 2023-12-13 18:16:50,763 - pyskl - INFO - Epoch [64][600/1281] lr: 1.549e-02, eta: 6:41:54, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9969, loss_cls: 0.4169, loss: 0.4169 2023-12-13 18:17:12,893 - pyskl - INFO - Epoch [64][700/1281] lr: 1.547e-02, eta: 6:41:32, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9981, loss_cls: 0.3544, loss: 0.3544 2023-12-13 18:17:35,056 - pyskl - INFO - Epoch [64][800/1281] lr: 1.545e-02, eta: 6:41:11, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 0.3609, loss: 0.3609 2023-12-13 18:17:56,948 - pyskl - INFO - Epoch [64][900/1281] lr: 1.543e-02, eta: 6:40:50, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 0.3350, loss: 0.3350 2023-12-13 18:18:18,896 - pyskl - INFO - Epoch [64][1000/1281] lr: 1.541e-02, eta: 6:40:28, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9956, loss_cls: 0.4338, loss: 0.4338 2023-12-13 18:18:40,505 - pyskl - INFO - Epoch [64][1100/1281] lr: 1.539e-02, eta: 6:40:06, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9962, loss_cls: 0.4465, loss: 0.4465 2023-12-13 18:19:02,248 - pyskl - INFO - Epoch [64][1200/1281] lr: 1.537e-02, eta: 6:39:44, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9975, loss_cls: 0.3995, loss: 0.3995 2023-12-13 18:19:20,364 - pyskl - INFO - Saving checkpoint at 64 epochs 2023-12-13 18:20:05,136 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 18:20:05,195 - pyskl - INFO - top1_acc 0.8762 top5_acc 0.9927 2023-12-13 18:20:05,195 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 18:20:05,204 - pyskl - INFO - mean_acc 0.8341 2023-12-13 18:20:05,207 - pyskl - INFO - Epoch(val) [64][533] top1_acc: 0.8762, top5_acc: 0.9927, mean_class_accuracy: 0.8341 2023-12-13 18:20:48,726 - pyskl - INFO - Epoch [65][100/1281] lr: 1.533e-02, eta: 6:39:10, time: 0.435, data_time: 0.211, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.3672, loss: 0.3672 2023-12-13 18:21:10,933 - pyskl - INFO - Epoch [65][200/1281] lr: 1.531e-02, eta: 6:38:49, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 0.3868, loss: 0.3868 2023-12-13 18:21:32,893 - pyskl - INFO - Epoch [65][300/1281] lr: 1.529e-02, eta: 6:38:28, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 0.3449, loss: 0.3449 2023-12-13 18:21:54,877 - pyskl - INFO - Epoch [65][400/1281] lr: 1.527e-02, eta: 6:38:06, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9969, loss_cls: 0.4255, loss: 0.4255 2023-12-13 18:22:16,877 - pyskl - INFO - Epoch [65][500/1281] lr: 1.526e-02, eta: 6:37:45, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9988, loss_cls: 0.4034, loss: 0.4034 2023-12-13 18:22:38,968 - pyskl - INFO - Epoch [65][600/1281] lr: 1.524e-02, eta: 6:37:24, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9981, loss_cls: 0.3611, loss: 0.3611 2023-12-13 18:23:00,795 - pyskl - INFO - Epoch [65][700/1281] lr: 1.522e-02, eta: 6:37:02, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9994, loss_cls: 0.3938, loss: 0.3938 2023-12-13 18:23:22,122 - pyskl - INFO - Epoch [65][800/1281] lr: 1.520e-02, eta: 6:36:40, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9988, loss_cls: 0.4149, loss: 0.4149 2023-12-13 18:23:43,302 - pyskl - INFO - Epoch [65][900/1281] lr: 1.518e-02, eta: 6:36:17, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9988, loss_cls: 0.4009, loss: 0.4009 2023-12-13 18:24:04,709 - pyskl - INFO - Epoch [65][1000/1281] lr: 1.516e-02, eta: 6:35:55, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9988, loss_cls: 0.4576, loss: 0.4576 2023-12-13 18:24:26,574 - pyskl - INFO - Epoch [65][1100/1281] lr: 1.514e-02, eta: 6:35:33, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9956, loss_cls: 0.4106, loss: 0.4106 2023-12-13 18:24:48,419 - pyskl - INFO - Epoch [65][1200/1281] lr: 1.512e-02, eta: 6:35:12, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9969, loss_cls: 0.3873, loss: 0.3873 2023-12-13 18:25:07,335 - pyskl - INFO - Saving checkpoint at 65 epochs 2023-12-13 18:25:54,610 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 18:25:54,681 - pyskl - INFO - top1_acc 0.8729 top5_acc 0.9917 2023-12-13 18:25:54,681 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 18:25:54,691 - pyskl - INFO - mean_acc 0.8199 2023-12-13 18:25:54,694 - pyskl - INFO - Epoch(val) [65][533] top1_acc: 0.8729, top5_acc: 0.9917, mean_class_accuracy: 0.8199 2023-12-13 18:26:37,893 - pyskl - INFO - Epoch [66][100/1281] lr: 1.508e-02, eta: 6:34:37, time: 0.432, data_time: 0.211, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9981, loss_cls: 0.4155, loss: 0.4155 2023-12-13 18:26:59,573 - pyskl - INFO - Epoch [66][200/1281] lr: 1.506e-02, eta: 6:34:15, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3847, loss: 0.3847 2023-12-13 18:27:20,639 - pyskl - INFO - Epoch [66][300/1281] lr: 1.504e-02, eta: 6:33:53, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9962, loss_cls: 0.3871, loss: 0.3871 2023-12-13 18:27:42,080 - pyskl - INFO - Epoch [66][400/1281] lr: 1.502e-02, eta: 6:33:30, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 0.3315, loss: 0.3315 2023-12-13 18:28:04,043 - pyskl - INFO - Epoch [66][500/1281] lr: 1.500e-02, eta: 6:33:09, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9969, loss_cls: 0.3446, loss: 0.3446 2023-12-13 18:28:25,984 - pyskl - INFO - Epoch [66][600/1281] lr: 1.498e-02, eta: 6:32:47, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 0.4535, loss: 0.4535 2023-12-13 18:28:47,672 - pyskl - INFO - Epoch [66][700/1281] lr: 1.496e-02, eta: 6:32:25, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9975, loss_cls: 0.4119, loss: 0.4119 2023-12-13 18:29:09,630 - pyskl - INFO - Epoch [66][800/1281] lr: 1.494e-02, eta: 6:32:04, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 0.4163, loss: 0.4163 2023-12-13 18:29:31,732 - pyskl - INFO - Epoch [66][900/1281] lr: 1.492e-02, eta: 6:31:43, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9975, loss_cls: 0.3978, loss: 0.3978 2023-12-13 18:29:53,674 - pyskl - INFO - Epoch [66][1000/1281] lr: 1.490e-02, eta: 6:31:21, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9956, loss_cls: 0.4348, loss: 0.4348 2023-12-13 18:30:15,691 - pyskl - INFO - Epoch [66][1100/1281] lr: 1.488e-02, eta: 6:31:00, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 0.3980, loss: 0.3980 2023-12-13 18:30:37,581 - pyskl - INFO - Epoch [66][1200/1281] lr: 1.486e-02, eta: 6:30:38, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9981, loss_cls: 0.3990, loss: 0.3990 2023-12-13 18:30:56,458 - pyskl - INFO - Saving checkpoint at 66 epochs 2023-12-13 18:31:41,239 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 18:31:41,310 - pyskl - INFO - top1_acc 0.8731 top5_acc 0.9923 2023-12-13 18:31:41,310 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 18:31:41,319 - pyskl - INFO - mean_acc 0.8433 2023-12-13 18:31:41,321 - pyskl - INFO - Epoch(val) [66][533] top1_acc: 0.8731, top5_acc: 0.9923, mean_class_accuracy: 0.8433 2023-12-13 18:32:22,008 - pyskl - INFO - Epoch [67][100/1281] lr: 1.482e-02, eta: 6:30:00, time: 0.407, data_time: 0.187, memory: 4120, top1_acc: 0.9350, top5_acc: 1.0000, loss_cls: 0.3406, loss: 0.3406 2023-12-13 18:32:43,936 - pyskl - INFO - Epoch [67][200/1281] lr: 1.480e-02, eta: 6:29:39, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9975, loss_cls: 0.3555, loss: 0.3555 2023-12-13 18:33:06,000 - pyskl - INFO - Epoch [67][300/1281] lr: 1.478e-02, eta: 6:29:17, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9988, loss_cls: 0.3489, loss: 0.3489 2023-12-13 18:33:28,007 - pyskl - INFO - Epoch [67][400/1281] lr: 1.476e-02, eta: 6:28:56, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9988, loss_cls: 0.3960, loss: 0.3960 2023-12-13 18:33:50,045 - pyskl - INFO - Epoch [67][500/1281] lr: 1.474e-02, eta: 6:28:34, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 0.3970, loss: 0.3970 2023-12-13 18:34:11,800 - pyskl - INFO - Epoch [67][600/1281] lr: 1.472e-02, eta: 6:28:13, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9994, loss_cls: 0.3794, loss: 0.3794 2023-12-13 18:34:34,035 - pyskl - INFO - Epoch [67][700/1281] lr: 1.470e-02, eta: 6:27:51, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 0.3973, loss: 0.3973 2023-12-13 18:34:55,880 - pyskl - INFO - Epoch [67][800/1281] lr: 1.468e-02, eta: 6:27:30, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 0.4188, loss: 0.4188 2023-12-13 18:35:17,896 - pyskl - INFO - Epoch [67][900/1281] lr: 1.466e-02, eta: 6:27:08, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9975, loss_cls: 0.3793, loss: 0.3793 2023-12-13 18:35:38,995 - pyskl - INFO - Epoch [67][1000/1281] lr: 1.464e-02, eta: 6:26:46, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9988, loss_cls: 0.4207, loss: 0.4207 2023-12-13 18:36:00,232 - pyskl - INFO - Epoch [67][1100/1281] lr: 1.462e-02, eta: 6:26:23, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9981, loss_cls: 0.3742, loss: 0.3742 2023-12-13 18:36:22,610 - pyskl - INFO - Epoch [67][1200/1281] lr: 1.460e-02, eta: 6:26:02, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9969, loss_cls: 0.4433, loss: 0.4433 2023-12-13 18:36:41,106 - pyskl - INFO - Saving checkpoint at 67 epochs 2023-12-13 18:37:28,496 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 18:37:28,555 - pyskl - INFO - top1_acc 0.8958 top5_acc 0.9946 2023-12-13 18:37:28,556 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 18:37:28,564 - pyskl - INFO - mean_acc 0.8577 2023-12-13 18:37:28,569 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_55.pth was removed 2023-12-13 18:37:28,953 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_67.pth. 2023-12-13 18:37:28,953 - pyskl - INFO - Best top1_acc is 0.8958 at 67 epoch. 2023-12-13 18:37:28,956 - pyskl - INFO - Epoch(val) [67][533] top1_acc: 0.8958, top5_acc: 0.9946, mean_class_accuracy: 0.8577 2023-12-13 18:38:11,315 - pyskl - INFO - Epoch [68][100/1281] lr: 1.456e-02, eta: 6:25:26, time: 0.424, data_time: 0.204, memory: 4120, top1_acc: 0.9337, top5_acc: 1.0000, loss_cls: 0.3347, loss: 0.3347 2023-12-13 18:38:33,546 - pyskl - INFO - Epoch [68][200/1281] lr: 1.454e-02, eta: 6:25:05, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 0.3585, loss: 0.3585 2023-12-13 18:38:55,326 - pyskl - INFO - Epoch [68][300/1281] lr: 1.452e-02, eta: 6:24:43, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9975, loss_cls: 0.3920, loss: 0.3920 2023-12-13 18:39:16,742 - pyskl - INFO - Epoch [68][400/1281] lr: 1.450e-02, eta: 6:24:21, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9981, loss_cls: 0.3531, loss: 0.3531 2023-12-13 18:39:37,970 - pyskl - INFO - Epoch [68][500/1281] lr: 1.448e-02, eta: 6:23:59, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 0.3873, loss: 0.3873 2023-12-13 18:39:59,144 - pyskl - INFO - Epoch [68][600/1281] lr: 1.446e-02, eta: 6:23:36, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9975, loss_cls: 0.3588, loss: 0.3588 2023-12-13 18:40:20,952 - pyskl - INFO - Epoch [68][700/1281] lr: 1.444e-02, eta: 6:23:15, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9994, loss_cls: 0.4014, loss: 0.4014 2023-12-13 18:40:43,044 - pyskl - INFO - Epoch [68][800/1281] lr: 1.442e-02, eta: 6:22:53, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 0.3529, loss: 0.3529 2023-12-13 18:41:05,113 - pyskl - INFO - Epoch [68][900/1281] lr: 1.440e-02, eta: 6:22:32, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 0.4128, loss: 0.4128 2023-12-13 18:41:27,042 - pyskl - INFO - Epoch [68][1000/1281] lr: 1.438e-02, eta: 6:22:10, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9969, loss_cls: 0.3960, loss: 0.3960 2023-12-13 18:41:48,717 - pyskl - INFO - Epoch [68][1100/1281] lr: 1.436e-02, eta: 6:21:48, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 0.3719, loss: 0.3719 2023-12-13 18:42:10,415 - pyskl - INFO - Epoch [68][1200/1281] lr: 1.434e-02, eta: 6:21:26, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9988, loss_cls: 0.3779, loss: 0.3779 2023-12-13 18:42:28,936 - pyskl - INFO - Saving checkpoint at 68 epochs 2023-12-13 18:43:15,329 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 18:43:15,385 - pyskl - INFO - top1_acc 0.8724 top5_acc 0.9908 2023-12-13 18:43:15,385 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 18:43:15,393 - pyskl - INFO - mean_acc 0.8271 2023-12-13 18:43:15,395 - pyskl - INFO - Epoch(val) [68][533] top1_acc: 0.8724, top5_acc: 0.9908, mean_class_accuracy: 0.8271 2023-12-13 18:43:55,340 - pyskl - INFO - Epoch [69][100/1281] lr: 1.431e-02, eta: 6:20:48, time: 0.399, data_time: 0.187, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9969, loss_cls: 0.4017, loss: 0.4017 2023-12-13 18:44:17,182 - pyskl - INFO - Epoch [69][200/1281] lr: 1.429e-02, eta: 6:20:26, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 0.4365, loss: 0.4365 2023-12-13 18:44:39,326 - pyskl - INFO - Epoch [69][300/1281] lr: 1.427e-02, eta: 6:20:05, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9969, loss_cls: 0.3498, loss: 0.3498 2023-12-13 18:45:01,323 - pyskl - INFO - Epoch [69][400/1281] lr: 1.425e-02, eta: 6:19:43, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9988, loss_cls: 0.3484, loss: 0.3484 2023-12-13 18:45:23,232 - pyskl - INFO - Epoch [69][500/1281] lr: 1.423e-02, eta: 6:19:22, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9994, loss_cls: 0.3697, loss: 0.3697 2023-12-13 18:45:45,242 - pyskl - INFO - Epoch [69][600/1281] lr: 1.420e-02, eta: 6:19:00, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9988, loss_cls: 0.3737, loss: 0.3737 2023-12-13 18:46:07,180 - pyskl - INFO - Epoch [69][700/1281] lr: 1.418e-02, eta: 6:18:38, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 0.3445, loss: 0.3445 2023-12-13 18:46:28,975 - pyskl - INFO - Epoch [69][800/1281] lr: 1.416e-02, eta: 6:18:17, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 0.3857, loss: 0.3857 2023-12-13 18:46:50,451 - pyskl - INFO - Epoch [69][900/1281] lr: 1.414e-02, eta: 6:17:55, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9962, loss_cls: 0.4084, loss: 0.4084 2023-12-13 18:47:11,952 - pyskl - INFO - Epoch [69][1000/1281] lr: 1.412e-02, eta: 6:17:33, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9975, loss_cls: 0.4138, loss: 0.4138 2023-12-13 18:47:33,364 - pyskl - INFO - Epoch [69][1100/1281] lr: 1.410e-02, eta: 6:17:10, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 0.4103, loss: 0.4103 2023-12-13 18:47:55,330 - pyskl - INFO - Epoch [69][1200/1281] lr: 1.408e-02, eta: 6:16:49, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.3975, loss: 0.3975 2023-12-13 18:48:14,104 - pyskl - INFO - Saving checkpoint at 69 epochs 2023-12-13 18:49:01,147 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 18:49:01,219 - pyskl - INFO - top1_acc 0.8946 top5_acc 0.9934 2023-12-13 18:49:01,219 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 18:49:01,230 - pyskl - INFO - mean_acc 0.8594 2023-12-13 18:49:01,236 - pyskl - INFO - Epoch(val) [69][533] top1_acc: 0.8946, top5_acc: 0.9934, mean_class_accuracy: 0.8594 2023-12-13 18:49:43,274 - pyskl - INFO - Epoch [70][100/1281] lr: 1.405e-02, eta: 6:16:12, time: 0.420, data_time: 0.205, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 0.3413, loss: 0.3413 2023-12-13 18:50:05,263 - pyskl - INFO - Epoch [70][200/1281] lr: 1.403e-02, eta: 6:15:51, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 1.0000, loss_cls: 0.3454, loss: 0.3454 2023-12-13 18:50:27,068 - pyskl - INFO - Epoch [70][300/1281] lr: 1.401e-02, eta: 6:15:29, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 0.3762, loss: 0.3762 2023-12-13 18:50:48,443 - pyskl - INFO - Epoch [70][400/1281] lr: 1.399e-02, eta: 6:15:07, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 0.2847, loss: 0.2847 2023-12-13 18:51:09,692 - pyskl - INFO - Epoch [70][500/1281] lr: 1.397e-02, eta: 6:14:45, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 0.3594, loss: 0.3594 2023-12-13 18:51:31,544 - pyskl - INFO - Epoch [70][600/1281] lr: 1.395e-02, eta: 6:14:23, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9969, loss_cls: 0.4017, loss: 0.4017 2023-12-13 18:51:53,694 - pyskl - INFO - Epoch [70][700/1281] lr: 1.392e-02, eta: 6:14:02, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 0.3791, loss: 0.3791 2023-12-13 18:52:15,611 - pyskl - INFO - Epoch [70][800/1281] lr: 1.390e-02, eta: 6:13:40, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9319, top5_acc: 1.0000, loss_cls: 0.3615, loss: 0.3615 2023-12-13 18:52:37,303 - pyskl - INFO - Epoch [70][900/1281] lr: 1.388e-02, eta: 6:13:18, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9975, loss_cls: 0.4002, loss: 0.4002 2023-12-13 18:52:59,500 - pyskl - INFO - Epoch [70][1000/1281] lr: 1.386e-02, eta: 6:12:57, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.3625, loss: 0.3625 2023-12-13 18:53:21,343 - pyskl - INFO - Epoch [70][1100/1281] lr: 1.384e-02, eta: 6:12:35, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9981, loss_cls: 0.3646, loss: 0.3646 2023-12-13 18:53:43,375 - pyskl - INFO - Epoch [70][1200/1281] lr: 1.382e-02, eta: 6:12:14, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 0.3480, loss: 0.3480 2023-12-13 18:54:01,897 - pyskl - INFO - Saving checkpoint at 70 epochs 2023-12-13 18:54:46,465 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 18:54:46,532 - pyskl - INFO - top1_acc 0.8956 top5_acc 0.9933 2023-12-13 18:54:46,533 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 18:54:46,540 - pyskl - INFO - mean_acc 0.8636 2023-12-13 18:54:46,543 - pyskl - INFO - Epoch(val) [70][533] top1_acc: 0.8956, top5_acc: 0.9933, mean_class_accuracy: 0.8636 2023-12-13 18:55:27,614 - pyskl - INFO - Epoch [71][100/1281] lr: 1.379e-02, eta: 6:11:36, time: 0.411, data_time: 0.189, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 0.2968, loss: 0.2968 2023-12-13 18:55:49,759 - pyskl - INFO - Epoch [71][200/1281] lr: 1.377e-02, eta: 6:11:15, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3215, loss: 0.3215 2023-12-13 18:56:11,617 - pyskl - INFO - Epoch [71][300/1281] lr: 1.375e-02, eta: 6:10:53, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.3197, loss: 0.3197 2023-12-13 18:56:33,576 - pyskl - INFO - Epoch [71][400/1281] lr: 1.373e-02, eta: 6:10:31, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 0.3934, loss: 0.3934 2023-12-13 18:56:55,611 - pyskl - INFO - Epoch [71][500/1281] lr: 1.371e-02, eta: 6:10:10, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.3225, loss: 0.3225 2023-12-13 18:57:17,687 - pyskl - INFO - Epoch [71][600/1281] lr: 1.368e-02, eta: 6:09:48, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3451, loss: 0.3451 2023-12-13 18:57:39,395 - pyskl - INFO - Epoch [71][700/1281] lr: 1.366e-02, eta: 6:09:27, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 0.3713, loss: 0.3713 2023-12-13 18:58:01,188 - pyskl - INFO - Epoch [71][800/1281] lr: 1.364e-02, eta: 6:09:05, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9975, loss_cls: 0.3790, loss: 0.3790 2023-12-13 18:58:22,588 - pyskl - INFO - Epoch [71][900/1281] lr: 1.362e-02, eta: 6:08:43, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 1.0000, loss_cls: 0.3082, loss: 0.3082 2023-12-13 18:58:43,809 - pyskl - INFO - Epoch [71][1000/1281] lr: 1.360e-02, eta: 6:08:20, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9988, loss_cls: 0.3635, loss: 0.3635 2023-12-13 18:59:05,146 - pyskl - INFO - Epoch [71][1100/1281] lr: 1.358e-02, eta: 6:07:58, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9975, loss_cls: 0.3564, loss: 0.3564 2023-12-13 18:59:27,048 - pyskl - INFO - Epoch [71][1200/1281] lr: 1.356e-02, eta: 6:07:36, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 0.3543, loss: 0.3543 2023-12-13 18:59:45,725 - pyskl - INFO - Saving checkpoint at 71 epochs 2023-12-13 19:00:32,738 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 19:00:32,800 - pyskl - INFO - top1_acc 0.8816 top5_acc 0.9920 2023-12-13 19:00:32,801 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 19:00:32,809 - pyskl - INFO - mean_acc 0.8409 2023-12-13 19:00:32,813 - pyskl - INFO - Epoch(val) [71][533] top1_acc: 0.8816, top5_acc: 0.9920, mean_class_accuracy: 0.8409 2023-12-13 19:01:15,277 - pyskl - INFO - Epoch [72][100/1281] lr: 1.353e-02, eta: 6:07:00, time: 0.425, data_time: 0.202, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 0.3669, loss: 0.3669 2023-12-13 19:01:37,614 - pyskl - INFO - Epoch [72][200/1281] lr: 1.351e-02, eta: 6:06:39, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9994, loss_cls: 0.3341, loss: 0.3341 2023-12-13 19:01:59,612 - pyskl - INFO - Epoch [72][300/1281] lr: 1.349e-02, eta: 6:06:18, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9969, loss_cls: 0.3781, loss: 0.3781 2023-12-13 19:02:21,252 - pyskl - INFO - Epoch [72][400/1281] lr: 1.346e-02, eta: 6:05:56, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9981, loss_cls: 0.3577, loss: 0.3577 2023-12-13 19:02:42,574 - pyskl - INFO - Epoch [72][500/1281] lr: 1.344e-02, eta: 6:05:33, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 0.3419, loss: 0.3419 2023-12-13 19:03:04,410 - pyskl - INFO - Epoch [72][600/1281] lr: 1.342e-02, eta: 6:05:12, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9975, loss_cls: 0.3270, loss: 0.3270 2023-12-13 19:03:26,357 - pyskl - INFO - Epoch [72][700/1281] lr: 1.340e-02, eta: 6:04:50, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 1.0000, loss_cls: 0.3422, loss: 0.3422 2023-12-13 19:03:48,106 - pyskl - INFO - Epoch [72][800/1281] lr: 1.338e-02, eta: 6:04:28, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9994, loss_cls: 0.3330, loss: 0.3330 2023-12-13 19:04:09,899 - pyskl - INFO - Epoch [72][900/1281] lr: 1.336e-02, eta: 6:04:06, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 0.3265, loss: 0.3265 2023-12-13 19:04:31,641 - pyskl - INFO - Epoch [72][1000/1281] lr: 1.334e-02, eta: 6:03:45, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 0.3318, loss: 0.3318 2023-12-13 19:04:53,821 - pyskl - INFO - Epoch [72][1100/1281] lr: 1.332e-02, eta: 6:03:23, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 0.3661, loss: 0.3661 2023-12-13 19:05:15,430 - pyskl - INFO - Epoch [72][1200/1281] lr: 1.330e-02, eta: 6:03:01, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9962, loss_cls: 0.3880, loss: 0.3880 2023-12-13 19:05:33,828 - pyskl - INFO - Saving checkpoint at 72 epochs 2023-12-13 19:06:20,130 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 19:06:20,185 - pyskl - INFO - top1_acc 0.8808 top5_acc 0.9938 2023-12-13 19:06:20,186 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 19:06:20,192 - pyskl - INFO - mean_acc 0.8505 2023-12-13 19:06:20,193 - pyskl - INFO - Epoch(val) [72][533] top1_acc: 0.8808, top5_acc: 0.9938, mean_class_accuracy: 0.8505 2023-12-13 19:07:01,048 - pyskl - INFO - Epoch [73][100/1281] lr: 1.326e-02, eta: 6:02:23, time: 0.408, data_time: 0.190, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.3477, loss: 0.3477 2023-12-13 19:07:22,830 - pyskl - INFO - Epoch [73][200/1281] lr: 1.324e-02, eta: 6:02:02, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 0.3550, loss: 0.3550 2023-12-13 19:07:44,480 - pyskl - INFO - Epoch [73][300/1281] lr: 1.322e-02, eta: 6:01:40, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 0.3460, loss: 0.3460 2023-12-13 19:08:06,296 - pyskl - INFO - Epoch [73][400/1281] lr: 1.320e-02, eta: 6:01:18, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 1.0000, loss_cls: 0.3602, loss: 0.3602 2023-12-13 19:08:27,858 - pyskl - INFO - Epoch [73][500/1281] lr: 1.318e-02, eta: 6:00:56, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 1.0000, loss_cls: 0.3874, loss: 0.3874 2023-12-13 19:08:50,402 - pyskl - INFO - Epoch [73][600/1281] lr: 1.316e-02, eta: 6:00:35, time: 0.225, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 0.3381, loss: 0.3381 2023-12-13 19:09:12,444 - pyskl - INFO - Epoch [73][700/1281] lr: 1.314e-02, eta: 6:00:13, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 0.3714, loss: 0.3714 2023-12-13 19:09:34,266 - pyskl - INFO - Epoch [73][800/1281] lr: 1.312e-02, eta: 5:59:52, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9975, loss_cls: 0.3151, loss: 0.3151 2023-12-13 19:09:55,907 - pyskl - INFO - Epoch [73][900/1281] lr: 1.310e-02, eta: 5:59:30, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9975, loss_cls: 0.3843, loss: 0.3843 2023-12-13 19:10:17,468 - pyskl - INFO - Epoch [73][1000/1281] lr: 1.308e-02, eta: 5:59:08, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 0.3713, loss: 0.3713 2023-12-13 19:10:38,895 - pyskl - INFO - Epoch [73][1100/1281] lr: 1.306e-02, eta: 5:58:45, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.3078, loss: 0.3078 2023-12-13 19:11:01,136 - pyskl - INFO - Epoch [73][1200/1281] lr: 1.304e-02, eta: 5:58:24, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9988, loss_cls: 0.3652, loss: 0.3652 2023-12-13 19:11:20,194 - pyskl - INFO - Saving checkpoint at 73 epochs 2023-12-13 19:12:07,648 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 19:12:07,715 - pyskl - INFO - top1_acc 0.8774 top5_acc 0.9911 2023-12-13 19:12:07,715 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 19:12:07,722 - pyskl - INFO - mean_acc 0.8386 2023-12-13 19:12:07,723 - pyskl - INFO - Epoch(val) [73][533] top1_acc: 0.8774, top5_acc: 0.9911, mean_class_accuracy: 0.8386 2023-12-13 19:12:50,558 - pyskl - INFO - Epoch [74][100/1281] lr: 1.300e-02, eta: 5:57:48, time: 0.428, data_time: 0.211, memory: 4120, top1_acc: 0.9381, top5_acc: 1.0000, loss_cls: 0.3029, loss: 0.3029 2023-12-13 19:13:12,724 - pyskl - INFO - Epoch [74][200/1281] lr: 1.298e-02, eta: 5:57:27, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.2967, loss: 0.2967 2023-12-13 19:13:34,639 - pyskl - INFO - Epoch [74][300/1281] lr: 1.296e-02, eta: 5:57:05, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 1.0000, loss_cls: 0.3247, loss: 0.3247 2023-12-13 19:13:56,101 - pyskl - INFO - Epoch [74][400/1281] lr: 1.294e-02, eta: 5:56:43, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 0.3307, loss: 0.3307 2023-12-13 19:14:17,341 - pyskl - INFO - Epoch [74][500/1281] lr: 1.292e-02, eta: 5:56:21, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9969, loss_cls: 0.3801, loss: 0.3801 2023-12-13 19:14:38,975 - pyskl - INFO - Epoch [74][600/1281] lr: 1.290e-02, eta: 5:55:59, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9988, loss_cls: 0.3602, loss: 0.3602 2023-12-13 19:15:00,962 - pyskl - INFO - Epoch [74][700/1281] lr: 1.288e-02, eta: 5:55:37, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9988, loss_cls: 0.3857, loss: 0.3857 2023-12-13 19:15:22,654 - pyskl - INFO - Epoch [74][800/1281] lr: 1.286e-02, eta: 5:55:15, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9969, loss_cls: 0.3395, loss: 0.3395 2023-12-13 19:15:44,761 - pyskl - INFO - Epoch [74][900/1281] lr: 1.284e-02, eta: 5:54:54, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9975, loss_cls: 0.3374, loss: 0.3374 2023-12-13 19:16:06,796 - pyskl - INFO - Epoch [74][1000/1281] lr: 1.282e-02, eta: 5:54:32, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 0.3487, loss: 0.3487 2023-12-13 19:16:28,517 - pyskl - INFO - Epoch [74][1100/1281] lr: 1.280e-02, eta: 5:54:11, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 0.3288, loss: 0.3288 2023-12-13 19:16:50,669 - pyskl - INFO - Epoch [74][1200/1281] lr: 1.278e-02, eta: 5:53:49, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9969, loss_cls: 0.3825, loss: 0.3825 2023-12-13 19:17:09,233 - pyskl - INFO - Saving checkpoint at 74 epochs 2023-12-13 19:17:53,773 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 19:17:53,838 - pyskl - INFO - top1_acc 0.8857 top5_acc 0.9912 2023-12-13 19:17:53,839 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 19:17:53,852 - pyskl - INFO - mean_acc 0.8471 2023-12-13 19:17:53,856 - pyskl - INFO - Epoch(val) [74][533] top1_acc: 0.8857, top5_acc: 0.9912, mean_class_accuracy: 0.8471 2023-12-13 19:18:34,585 - pyskl - INFO - Epoch [75][100/1281] lr: 1.274e-02, eta: 5:53:11, time: 0.407, data_time: 0.187, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 0.3198, loss: 0.3198 2023-12-13 19:18:56,564 - pyskl - INFO - Epoch [75][200/1281] lr: 1.272e-02, eta: 5:52:49, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2734, loss: 0.2734 2023-12-13 19:19:18,779 - pyskl - INFO - Epoch [75][300/1281] lr: 1.270e-02, eta: 5:52:28, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 0.3038, loss: 0.3038 2023-12-13 19:19:40,780 - pyskl - INFO - Epoch [75][400/1281] lr: 1.268e-02, eta: 5:52:06, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 0.3035, loss: 0.3035 2023-12-13 19:20:02,697 - pyskl - INFO - Epoch [75][500/1281] lr: 1.266e-02, eta: 5:51:45, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.2911, loss: 0.2911 2023-12-13 19:20:24,798 - pyskl - INFO - Epoch [75][600/1281] lr: 1.264e-02, eta: 5:51:23, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 0.2891, loss: 0.2891 2023-12-13 19:20:46,383 - pyskl - INFO - Epoch [75][700/1281] lr: 1.262e-02, eta: 5:51:01, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 0.3543, loss: 0.3543 2023-12-13 19:21:08,058 - pyskl - INFO - Epoch [75][800/1281] lr: 1.260e-02, eta: 5:50:39, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9975, loss_cls: 0.3932, loss: 0.3932 2023-12-13 19:21:29,160 - pyskl - INFO - Epoch [75][900/1281] lr: 1.258e-02, eta: 5:50:17, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 0.3221, loss: 0.3221 2023-12-13 19:21:50,662 - pyskl - INFO - Epoch [75][1000/1281] lr: 1.256e-02, eta: 5:49:55, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9994, loss_cls: 0.3854, loss: 0.3854 2023-12-13 19:22:12,234 - pyskl - INFO - Epoch [75][1100/1281] lr: 1.254e-02, eta: 5:49:33, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9975, loss_cls: 0.4200, loss: 0.4200 2023-12-13 19:22:34,191 - pyskl - INFO - Epoch [75][1200/1281] lr: 1.252e-02, eta: 5:49:11, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9975, loss_cls: 0.3892, loss: 0.3892 2023-12-13 19:22:52,644 - pyskl - INFO - Saving checkpoint at 75 epochs 2023-12-13 19:23:39,159 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 19:23:39,233 - pyskl - INFO - top1_acc 0.8830 top5_acc 0.9921 2023-12-13 19:23:39,233 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 19:23:39,242 - pyskl - INFO - mean_acc 0.8543 2023-12-13 19:23:39,245 - pyskl - INFO - Epoch(val) [75][533] top1_acc: 0.8830, top5_acc: 0.9921, mean_class_accuracy: 0.8543 2023-12-13 19:24:21,153 - pyskl - INFO - Epoch [76][100/1281] lr: 1.248e-02, eta: 5:48:34, time: 0.419, data_time: 0.199, memory: 4120, top1_acc: 0.9387, top5_acc: 1.0000, loss_cls: 0.3221, loss: 0.3221 2023-12-13 19:24:43,191 - pyskl - INFO - Epoch [76][200/1281] lr: 1.246e-02, eta: 5:48:13, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 0.3086, loss: 0.3086 2023-12-13 19:25:04,610 - pyskl - INFO - Epoch [76][300/1281] lr: 1.244e-02, eta: 5:47:51, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 0.3163, loss: 0.3163 2023-12-13 19:25:25,934 - pyskl - INFO - Epoch [76][400/1281] lr: 1.242e-02, eta: 5:47:28, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.3034, loss: 0.3034 2023-12-13 19:25:47,141 - pyskl - INFO - Epoch [76][500/1281] lr: 1.240e-02, eta: 5:47:06, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 0.3374, loss: 0.3374 2023-12-13 19:26:08,867 - pyskl - INFO - Epoch [76][600/1281] lr: 1.238e-02, eta: 5:46:44, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.3140, loss: 0.3140 2023-12-13 19:26:30,952 - pyskl - INFO - Epoch [76][700/1281] lr: 1.236e-02, eta: 5:46:23, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 0.3658, loss: 0.3658 2023-12-13 19:26:52,745 - pyskl - INFO - Epoch [76][800/1281] lr: 1.234e-02, eta: 5:46:01, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.3785, loss: 0.3785 2023-12-13 19:27:14,637 - pyskl - INFO - Epoch [76][900/1281] lr: 1.232e-02, eta: 5:45:39, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 0.4093, loss: 0.4093 2023-12-13 19:27:36,453 - pyskl - INFO - Epoch [76][1000/1281] lr: 1.230e-02, eta: 5:45:17, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.3868, loss: 0.3868 2023-12-13 19:27:58,653 - pyskl - INFO - Epoch [76][1100/1281] lr: 1.228e-02, eta: 5:44:56, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9975, loss_cls: 0.3797, loss: 0.3797 2023-12-13 19:28:20,416 - pyskl - INFO - Epoch [76][1200/1281] lr: 1.225e-02, eta: 5:44:34, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.3731, loss: 0.3731 2023-12-13 19:28:39,374 - pyskl - INFO - Saving checkpoint at 76 epochs 2023-12-13 19:29:24,838 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 19:29:24,945 - pyskl - INFO - top1_acc 0.8860 top5_acc 0.9904 2023-12-13 19:29:24,945 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 19:29:24,967 - pyskl - INFO - mean_acc 0.8491 2023-12-13 19:29:24,970 - pyskl - INFO - Epoch(val) [76][533] top1_acc: 0.8860, top5_acc: 0.9904, mean_class_accuracy: 0.8491 2023-12-13 19:30:04,738 - pyskl - INFO - Epoch [77][100/1281] lr: 1.222e-02, eta: 5:43:55, time: 0.398, data_time: 0.183, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.3795, loss: 0.3795 2023-12-13 19:30:26,904 - pyskl - INFO - Epoch [77][200/1281] lr: 1.220e-02, eta: 5:43:34, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 0.3149, loss: 0.3149 2023-12-13 19:30:48,829 - pyskl - INFO - Epoch [77][300/1281] lr: 1.218e-02, eta: 5:43:12, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9988, loss_cls: 0.3309, loss: 0.3309 2023-12-13 19:31:10,937 - pyskl - INFO - Epoch [77][400/1281] lr: 1.216e-02, eta: 5:42:50, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9988, loss_cls: 0.3099, loss: 0.3099 2023-12-13 19:31:33,002 - pyskl - INFO - Epoch [77][500/1281] lr: 1.214e-02, eta: 5:42:29, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 1.0000, loss_cls: 0.2920, loss: 0.2920 2023-12-13 19:31:55,215 - pyskl - INFO - Epoch [77][600/1281] lr: 1.212e-02, eta: 5:42:07, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 0.3144, loss: 0.3144 2023-12-13 19:32:16,983 - pyskl - INFO - Epoch [77][700/1281] lr: 1.210e-02, eta: 5:41:46, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 0.3373, loss: 0.3373 2023-12-13 19:32:39,186 - pyskl - INFO - Epoch [77][800/1281] lr: 1.207e-02, eta: 5:41:24, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 0.2952, loss: 0.2952 2023-12-13 19:33:00,519 - pyskl - INFO - Epoch [77][900/1281] lr: 1.205e-02, eta: 5:41:02, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 0.3162, loss: 0.3162 2023-12-13 19:33:21,710 - pyskl - INFO - Epoch [77][1000/1281] lr: 1.203e-02, eta: 5:40:40, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9988, loss_cls: 0.3105, loss: 0.3105 2023-12-13 19:33:43,136 - pyskl - INFO - Epoch [77][1100/1281] lr: 1.201e-02, eta: 5:40:17, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 1.0000, loss_cls: 0.2936, loss: 0.2936 2023-12-13 19:34:05,210 - pyskl - INFO - Epoch [77][1200/1281] lr: 1.199e-02, eta: 5:39:56, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 0.3084, loss: 0.3084 2023-12-13 19:34:23,873 - pyskl - INFO - Saving checkpoint at 77 epochs 2023-12-13 19:35:11,559 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 19:35:11,619 - pyskl - INFO - top1_acc 0.8986 top5_acc 0.9924 2023-12-13 19:35:11,619 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 19:35:11,626 - pyskl - INFO - mean_acc 0.8540 2023-12-13 19:35:11,630 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_67.pth was removed 2023-12-13 19:35:11,859 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. 2023-12-13 19:35:11,859 - pyskl - INFO - Best top1_acc is 0.8986 at 77 epoch. 2023-12-13 19:35:11,863 - pyskl - INFO - Epoch(val) [77][533] top1_acc: 0.8986, top5_acc: 0.9924, mean_class_accuracy: 0.8540 2023-12-13 19:35:54,596 - pyskl - INFO - Epoch [78][100/1281] lr: 1.196e-02, eta: 5:39:20, time: 0.427, data_time: 0.208, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.2503, loss: 0.2503 2023-12-13 19:36:16,707 - pyskl - INFO - Epoch [78][200/1281] lr: 1.194e-02, eta: 5:38:58, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2596, loss: 0.2596 2023-12-13 19:36:38,543 - pyskl - INFO - Epoch [78][300/1281] lr: 1.192e-02, eta: 5:38:36, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9981, loss_cls: 0.3556, loss: 0.3556 2023-12-13 19:36:59,659 - pyskl - INFO - Epoch [78][400/1281] lr: 1.190e-02, eta: 5:38:14, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 0.3426, loss: 0.3426 2023-12-13 19:37:20,921 - pyskl - INFO - Epoch [78][500/1281] lr: 1.187e-02, eta: 5:37:52, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9988, loss_cls: 0.3213, loss: 0.3213 2023-12-13 19:37:43,015 - pyskl - INFO - Epoch [78][600/1281] lr: 1.185e-02, eta: 5:37:30, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 0.3162, loss: 0.3162 2023-12-13 19:38:04,838 - pyskl - INFO - Epoch [78][700/1281] lr: 1.183e-02, eta: 5:37:08, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9969, loss_cls: 0.3476, loss: 0.3476 2023-12-13 19:38:26,840 - pyskl - INFO - Epoch [78][800/1281] lr: 1.181e-02, eta: 5:36:47, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 0.3413, loss: 0.3413 2023-12-13 19:38:48,804 - pyskl - INFO - Epoch [78][900/1281] lr: 1.179e-02, eta: 5:36:25, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 0.3193, loss: 0.3193 2023-12-13 19:39:10,586 - pyskl - INFO - Epoch [78][1000/1281] lr: 1.177e-02, eta: 5:36:03, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.2857, loss: 0.2857 2023-12-13 19:39:32,446 - pyskl - INFO - Epoch [78][1100/1281] lr: 1.175e-02, eta: 5:35:42, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 0.3493, loss: 0.3493 2023-12-13 19:39:54,515 - pyskl - INFO - Epoch [78][1200/1281] lr: 1.173e-02, eta: 5:35:20, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 1.0000, loss_cls: 0.2969, loss: 0.2969 2023-12-13 19:40:13,096 - pyskl - INFO - Saving checkpoint at 78 epochs 2023-12-13 19:40:58,552 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 19:40:58,607 - pyskl - INFO - top1_acc 0.8990 top5_acc 0.9951 2023-12-13 19:40:58,608 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 19:40:58,615 - pyskl - INFO - mean_acc 0.8531 2023-12-13 19:40:58,619 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_77.pth was removed 2023-12-13 19:40:58,839 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_78.pth. 2023-12-13 19:40:58,839 - pyskl - INFO - Best top1_acc is 0.8990 at 78 epoch. 2023-12-13 19:40:58,843 - pyskl - INFO - Epoch(val) [78][533] top1_acc: 0.8990, top5_acc: 0.9951, mean_class_accuracy: 0.8531 2023-12-13 19:41:39,264 - pyskl - INFO - Epoch [79][100/1281] lr: 1.169e-02, eta: 5:34:41, time: 0.404, data_time: 0.188, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2633, loss: 0.2633 2023-12-13 19:42:01,517 - pyskl - INFO - Epoch [79][200/1281] lr: 1.167e-02, eta: 5:34:20, time: 0.223, data_time: 0.000, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.2799, loss: 0.2799 2023-12-13 19:42:23,565 - pyskl - INFO - Epoch [79][300/1281] lr: 1.165e-02, eta: 5:33:59, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 0.2923, loss: 0.2923 2023-12-13 19:42:45,687 - pyskl - INFO - Epoch [79][400/1281] lr: 1.163e-02, eta: 5:33:37, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9975, loss_cls: 0.3095, loss: 0.3095 2023-12-13 19:43:07,422 - pyskl - INFO - Epoch [79][500/1281] lr: 1.161e-02, eta: 5:33:15, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2589, loss: 0.2589 2023-12-13 19:43:29,277 - pyskl - INFO - Epoch [79][600/1281] lr: 1.159e-02, eta: 5:32:53, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 0.3483, loss: 0.3483 2023-12-13 19:43:51,391 - pyskl - INFO - Epoch [79][700/1281] lr: 1.157e-02, eta: 5:32:32, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 0.2941, loss: 0.2941 2023-12-13 19:44:13,223 - pyskl - INFO - Epoch [79][800/1281] lr: 1.155e-02, eta: 5:32:10, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3041, loss: 0.3041 2023-12-13 19:44:34,538 - pyskl - INFO - Epoch [79][900/1281] lr: 1.153e-02, eta: 5:31:48, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 0.3228, loss: 0.3228 2023-12-13 19:44:55,647 - pyskl - INFO - Epoch [79][1000/1281] lr: 1.151e-02, eta: 5:31:25, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9988, loss_cls: 0.3327, loss: 0.3327 2023-12-13 19:45:17,207 - pyskl - INFO - Epoch [79][1100/1281] lr: 1.149e-02, eta: 5:31:03, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 0.3496, loss: 0.3496 2023-12-13 19:45:39,055 - pyskl - INFO - Epoch [79][1200/1281] lr: 1.147e-02, eta: 5:30:42, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 0.3510, loss: 0.3510 2023-12-13 19:45:58,005 - pyskl - INFO - Saving checkpoint at 79 epochs 2023-12-13 19:46:45,284 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 19:46:45,358 - pyskl - INFO - top1_acc 0.9059 top5_acc 0.9957 2023-12-13 19:46:45,358 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 19:46:45,370 - pyskl - INFO - mean_acc 0.8685 2023-12-13 19:46:45,376 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_78.pth was removed 2023-12-13 19:46:45,636 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. 2023-12-13 19:46:45,636 - pyskl - INFO - Best top1_acc is 0.9059 at 79 epoch. 2023-12-13 19:46:45,640 - pyskl - INFO - Epoch(val) [79][533] top1_acc: 0.9059, top5_acc: 0.9957, mean_class_accuracy: 0.8685 2023-12-13 19:47:28,427 - pyskl - INFO - Epoch [80][100/1281] lr: 1.143e-02, eta: 5:30:05, time: 0.428, data_time: 0.207, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 0.3064, loss: 0.3064 2023-12-13 19:47:50,374 - pyskl - INFO - Epoch [80][200/1281] lr: 1.141e-02, eta: 5:29:44, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 1.0000, loss_cls: 0.2860, loss: 0.2860 2023-12-13 19:48:11,916 - pyskl - INFO - Epoch [80][300/1281] lr: 1.139e-02, eta: 5:29:22, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9406, top5_acc: 1.0000, loss_cls: 0.2930, loss: 0.2930 2023-12-13 19:48:33,298 - pyskl - INFO - Epoch [80][400/1281] lr: 1.137e-02, eta: 5:28:59, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 0.2889, loss: 0.2889 2023-12-13 19:48:54,690 - pyskl - INFO - Epoch [80][500/1281] lr: 1.135e-02, eta: 5:28:37, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 0.2928, loss: 0.2928 2023-12-13 19:49:16,377 - pyskl - INFO - Epoch [80][600/1281] lr: 1.133e-02, eta: 5:28:15, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.3170, loss: 0.3170 2023-12-13 19:49:38,157 - pyskl - INFO - Epoch [80][700/1281] lr: 1.131e-02, eta: 5:27:53, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 0.2859, loss: 0.2859 2023-12-13 19:50:00,135 - pyskl - INFO - Epoch [80][800/1281] lr: 1.129e-02, eta: 5:27:32, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.2996, loss: 0.2996 2023-12-13 19:50:22,004 - pyskl - INFO - Epoch [80][900/1281] lr: 1.127e-02, eta: 5:27:10, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 0.3158, loss: 0.3158 2023-12-13 19:50:43,846 - pyskl - INFO - Epoch [80][1000/1281] lr: 1.125e-02, eta: 5:26:48, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 0.2852, loss: 0.2852 2023-12-13 19:51:06,090 - pyskl - INFO - Epoch [80][1100/1281] lr: 1.123e-02, eta: 5:26:27, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 1.0000, loss_cls: 0.3103, loss: 0.3103 2023-12-13 19:51:28,256 - pyskl - INFO - Epoch [80][1200/1281] lr: 1.121e-02, eta: 5:26:05, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.3126, loss: 0.3126 2023-12-13 19:51:46,777 - pyskl - INFO - Saving checkpoint at 80 epochs 2023-12-13 19:52:32,583 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 19:52:32,640 - pyskl - INFO - top1_acc 0.8973 top5_acc 0.9921 2023-12-13 19:52:32,640 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 19:52:32,647 - pyskl - INFO - mean_acc 0.8657 2023-12-13 19:52:32,649 - pyskl - INFO - Epoch(val) [80][533] top1_acc: 0.8973, top5_acc: 0.9921, mean_class_accuracy: 0.8657 2023-12-13 19:53:12,777 - pyskl - INFO - Epoch [81][100/1281] lr: 1.117e-02, eta: 5:25:27, time: 0.401, data_time: 0.184, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.3270, loss: 0.3270 2023-12-13 19:53:35,114 - pyskl - INFO - Epoch [81][200/1281] lr: 1.115e-02, eta: 5:25:05, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.2771, loss: 0.2771 2023-12-13 19:53:57,070 - pyskl - INFO - Epoch [81][300/1281] lr: 1.113e-02, eta: 5:24:44, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 0.3218, loss: 0.3218 2023-12-13 19:54:18,966 - pyskl - INFO - Epoch [81][400/1281] lr: 1.111e-02, eta: 5:24:22, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 0.3474, loss: 0.3474 2023-12-13 19:54:41,202 - pyskl - INFO - Epoch [81][500/1281] lr: 1.109e-02, eta: 5:24:00, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 0.3469, loss: 0.3469 2023-12-13 19:55:03,065 - pyskl - INFO - Epoch [81][600/1281] lr: 1.107e-02, eta: 5:23:39, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.3001, loss: 0.3001 2023-12-13 19:55:24,735 - pyskl - INFO - Epoch [81][700/1281] lr: 1.105e-02, eta: 5:23:17, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 0.2972, loss: 0.2972 2023-12-13 19:55:46,746 - pyskl - INFO - Epoch [81][800/1281] lr: 1.103e-02, eta: 5:22:55, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 0.2739, loss: 0.2739 2023-12-13 19:56:08,177 - pyskl - INFO - Epoch [81][900/1281] lr: 1.101e-02, eta: 5:22:33, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 0.3022, loss: 0.3022 2023-12-13 19:56:29,395 - pyskl - INFO - Epoch [81][1000/1281] lr: 1.099e-02, eta: 5:22:11, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 0.2756, loss: 0.2756 2023-12-13 19:56:50,543 - pyskl - INFO - Epoch [81][1100/1281] lr: 1.097e-02, eta: 5:21:48, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9962, loss_cls: 0.3532, loss: 0.3532 2023-12-13 19:57:12,135 - pyskl - INFO - Epoch [81][1200/1281] lr: 1.095e-02, eta: 5:21:26, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 0.3656, loss: 0.3656 2023-12-13 19:57:31,356 - pyskl - INFO - Saving checkpoint at 81 epochs 2023-12-13 19:58:18,264 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 19:58:18,337 - pyskl - INFO - top1_acc 0.8856 top5_acc 0.9923 2023-12-13 19:58:18,337 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 19:58:18,347 - pyskl - INFO - mean_acc 0.8446 2023-12-13 19:58:18,350 - pyskl - INFO - Epoch(val) [81][533] top1_acc: 0.8856, top5_acc: 0.9923, mean_class_accuracy: 0.8446 2023-12-13 19:59:00,711 - pyskl - INFO - Epoch [82][100/1281] lr: 1.091e-02, eta: 5:20:49, time: 0.424, data_time: 0.205, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.2700, loss: 0.2700 2023-12-13 19:59:22,600 - pyskl - INFO - Epoch [82][200/1281] lr: 1.089e-02, eta: 5:20:28, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 0.3176, loss: 0.3176 2023-12-13 19:59:44,620 - pyskl - INFO - Epoch [82][300/1281] lr: 1.087e-02, eta: 5:20:06, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 0.2947, loss: 0.2947 2023-12-13 20:00:05,925 - pyskl - INFO - Epoch [82][400/1281] lr: 1.085e-02, eta: 5:19:44, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.3175, loss: 0.3175 2023-12-13 20:00:27,245 - pyskl - INFO - Epoch [82][500/1281] lr: 1.083e-02, eta: 5:19:22, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.3034, loss: 0.3034 2023-12-13 20:00:48,786 - pyskl - INFO - Epoch [82][600/1281] lr: 1.081e-02, eta: 5:19:00, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 0.3199, loss: 0.3199 2023-12-13 20:01:10,585 - pyskl - INFO - Epoch [82][700/1281] lr: 1.079e-02, eta: 5:18:38, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 0.3323, loss: 0.3323 2023-12-13 20:01:32,387 - pyskl - INFO - Epoch [82][800/1281] lr: 1.077e-02, eta: 5:18:16, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 1.0000, loss_cls: 0.3084, loss: 0.3084 2023-12-13 20:01:54,334 - pyskl - INFO - Epoch [82][900/1281] lr: 1.075e-02, eta: 5:17:54, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 1.0000, loss_cls: 0.2773, loss: 0.2773 2023-12-13 20:02:16,312 - pyskl - INFO - Epoch [82][1000/1281] lr: 1.073e-02, eta: 5:17:33, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 0.3499, loss: 0.3499 2023-12-13 20:02:38,335 - pyskl - INFO - Epoch [82][1100/1281] lr: 1.071e-02, eta: 5:17:11, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 0.3067, loss: 0.3067 2023-12-13 20:03:00,250 - pyskl - INFO - Epoch [82][1200/1281] lr: 1.069e-02, eta: 5:16:49, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3249, loss: 0.3249 2023-12-13 20:03:18,942 - pyskl - INFO - Saving checkpoint at 82 epochs 2023-12-13 20:04:05,457 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 20:04:05,531 - pyskl - INFO - top1_acc 0.8846 top5_acc 0.9941 2023-12-13 20:04:05,531 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 20:04:05,541 - pyskl - INFO - mean_acc 0.8456 2023-12-13 20:04:05,544 - pyskl - INFO - Epoch(val) [82][533] top1_acc: 0.8846, top5_acc: 0.9941, mean_class_accuracy: 0.8456 2023-12-13 20:04:46,294 - pyskl - INFO - Epoch [83][100/1281] lr: 1.065e-02, eta: 5:16:11, time: 0.407, data_time: 0.189, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.2896, loss: 0.2896 2023-12-13 20:05:08,608 - pyskl - INFO - Epoch [83][200/1281] lr: 1.063e-02, eta: 5:15:49, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.2607, loss: 0.2607 2023-12-13 20:05:30,372 - pyskl - INFO - Epoch [83][300/1281] lr: 1.061e-02, eta: 5:15:28, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.2450, loss: 0.2450 2023-12-13 20:05:52,249 - pyskl - INFO - Epoch [83][400/1281] lr: 1.059e-02, eta: 5:15:06, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9994, loss_cls: 0.2706, loss: 0.2706 2023-12-13 20:06:14,223 - pyskl - INFO - Epoch [83][500/1281] lr: 1.057e-02, eta: 5:14:44, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 0.3054, loss: 0.3054 2023-12-13 20:06:36,247 - pyskl - INFO - Epoch [83][600/1281] lr: 1.055e-02, eta: 5:14:23, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.2984, loss: 0.2984 2023-12-13 20:06:58,156 - pyskl - INFO - Epoch [83][700/1281] lr: 1.053e-02, eta: 5:14:01, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 0.2782, loss: 0.2782 2023-12-13 20:07:20,037 - pyskl - INFO - Epoch [83][800/1281] lr: 1.051e-02, eta: 5:13:39, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.2850, loss: 0.2850 2023-12-13 20:07:41,316 - pyskl - INFO - Epoch [83][900/1281] lr: 1.049e-02, eta: 5:13:17, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 0.2821, loss: 0.2821 2023-12-13 20:08:02,548 - pyskl - INFO - Epoch [83][1000/1281] lr: 1.047e-02, eta: 5:12:55, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 0.2785, loss: 0.2785 2023-12-13 20:08:24,107 - pyskl - INFO - Epoch [83][1100/1281] lr: 1.045e-02, eta: 5:12:33, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 0.2732, loss: 0.2732 2023-12-13 20:08:45,899 - pyskl - INFO - Epoch [83][1200/1281] lr: 1.043e-02, eta: 5:12:11, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 0.2844, loss: 0.2844 2023-12-13 20:09:04,545 - pyskl - INFO - Saving checkpoint at 83 epochs 2023-12-13 20:09:51,462 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 20:09:51,533 - pyskl - INFO - top1_acc 0.8974 top5_acc 0.9946 2023-12-13 20:09:51,533 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 20:09:51,542 - pyskl - INFO - mean_acc 0.8625 2023-12-13 20:09:51,546 - pyskl - INFO - Epoch(val) [83][533] top1_acc: 0.8974, top5_acc: 0.9946, mean_class_accuracy: 0.8625 2023-12-13 20:10:33,778 - pyskl - INFO - Epoch [84][100/1281] lr: 1.040e-02, eta: 5:11:34, time: 0.422, data_time: 0.204, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 0.2578, loss: 0.2578 2023-12-13 20:10:55,510 - pyskl - INFO - Epoch [84][200/1281] lr: 1.038e-02, eta: 5:11:12, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 0.2607, loss: 0.2607 2023-12-13 20:11:17,007 - pyskl - INFO - Epoch [84][300/1281] lr: 1.036e-02, eta: 5:10:50, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 0.2484, loss: 0.2484 2023-12-13 20:11:38,317 - pyskl - INFO - Epoch [84][400/1281] lr: 1.034e-02, eta: 5:10:27, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 0.2562, loss: 0.2562 2023-12-13 20:11:59,555 - pyskl - INFO - Epoch [84][500/1281] lr: 1.031e-02, eta: 5:10:05, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 1.0000, loss_cls: 0.2709, loss: 0.2709 2023-12-13 20:12:21,232 - pyskl - INFO - Epoch [84][600/1281] lr: 1.029e-02, eta: 5:09:43, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2808, loss: 0.2808 2023-12-13 20:12:43,254 - pyskl - INFO - Epoch [84][700/1281] lr: 1.027e-02, eta: 5:09:22, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2599, loss: 0.2599 2023-12-13 20:13:05,253 - pyskl - INFO - Epoch [84][800/1281] lr: 1.025e-02, eta: 5:09:00, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9994, loss_cls: 0.2794, loss: 0.2794 2023-12-13 20:13:27,046 - pyskl - INFO - Epoch [84][900/1281] lr: 1.023e-02, eta: 5:08:38, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 0.3071, loss: 0.3071 2023-12-13 20:13:48,970 - pyskl - INFO - Epoch [84][1000/1281] lr: 1.021e-02, eta: 5:08:16, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9325, top5_acc: 1.0000, loss_cls: 0.2904, loss: 0.2904 2023-12-13 20:14:10,778 - pyskl - INFO - Epoch [84][1100/1281] lr: 1.019e-02, eta: 5:07:55, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.2697, loss: 0.2697 2023-12-13 20:14:32,989 - pyskl - INFO - Epoch [84][1200/1281] lr: 1.017e-02, eta: 5:07:33, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.3031, loss: 0.3031 2023-12-13 20:14:51,570 - pyskl - INFO - Saving checkpoint at 84 epochs 2023-12-13 20:15:36,078 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 20:15:36,154 - pyskl - INFO - top1_acc 0.9017 top5_acc 0.9947 2023-12-13 20:15:36,154 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 20:15:36,164 - pyskl - INFO - mean_acc 0.8621 2023-12-13 20:15:36,167 - pyskl - INFO - Epoch(val) [84][533] top1_acc: 0.9017, top5_acc: 0.9947, mean_class_accuracy: 0.8621 2023-12-13 20:16:18,293 - pyskl - INFO - Epoch [85][100/1281] lr: 1.014e-02, eta: 5:06:56, time: 0.421, data_time: 0.200, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.2541, loss: 0.2541 2023-12-13 20:16:40,151 - pyskl - INFO - Epoch [85][200/1281] lr: 1.012e-02, eta: 5:06:34, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.2472, loss: 0.2472 2023-12-13 20:17:02,193 - pyskl - INFO - Epoch [85][300/1281] lr: 1.010e-02, eta: 5:06:12, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.2364, loss: 0.2364 2023-12-13 20:17:23,794 - pyskl - INFO - Epoch [85][400/1281] lr: 1.008e-02, eta: 5:05:50, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.2953, loss: 0.2953 2023-12-13 20:17:45,620 - pyskl - INFO - Epoch [85][500/1281] lr: 1.006e-02, eta: 5:05:29, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 0.2469, loss: 0.2469 2023-12-13 20:18:07,548 - pyskl - INFO - Epoch [85][600/1281] lr: 1.004e-02, eta: 5:05:07, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 0.2988, loss: 0.2988 2023-12-13 20:18:29,646 - pyskl - INFO - Epoch [85][700/1281] lr: 1.002e-02, eta: 5:04:45, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 0.3271, loss: 0.3271 2023-12-13 20:18:51,360 - pyskl - INFO - Epoch [85][800/1281] lr: 9.998e-03, eta: 5:04:23, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 0.3142, loss: 0.3142 2023-12-13 20:19:12,553 - pyskl - INFO - Epoch [85][900/1281] lr: 9.978e-03, eta: 5:04:01, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 0.2876, loss: 0.2876 2023-12-13 20:19:34,025 - pyskl - INFO - Epoch [85][1000/1281] lr: 9.958e-03, eta: 5:03:39, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.2878, loss: 0.2878 2023-12-13 20:19:55,815 - pyskl - INFO - Epoch [85][1100/1281] lr: 9.937e-03, eta: 5:03:17, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 0.3312, loss: 0.3312 2023-12-13 20:20:17,488 - pyskl - INFO - Epoch [85][1200/1281] lr: 9.917e-03, eta: 5:02:55, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 0.2778, loss: 0.2778 2023-12-13 20:20:35,884 - pyskl - INFO - Saving checkpoint at 85 epochs 2023-12-13 20:21:23,253 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 20:21:23,325 - pyskl - INFO - top1_acc 0.9049 top5_acc 0.9950 2023-12-13 20:21:23,326 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 20:21:23,335 - pyskl - INFO - mean_acc 0.8671 2023-12-13 20:21:23,338 - pyskl - INFO - Epoch(val) [85][533] top1_acc: 0.9049, top5_acc: 0.9950, mean_class_accuracy: 0.8671 2023-12-13 20:22:07,438 - pyskl - INFO - Epoch [86][100/1281] lr: 9.881e-03, eta: 5:02:19, time: 0.441, data_time: 0.218, memory: 4120, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 0.2196, loss: 0.2196 2023-12-13 20:22:29,351 - pyskl - INFO - Epoch [86][200/1281] lr: 9.861e-03, eta: 5:01:58, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 0.2422, loss: 0.2422 2023-12-13 20:22:51,306 - pyskl - INFO - Epoch [86][300/1281] lr: 9.841e-03, eta: 5:01:36, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 0.2535, loss: 0.2535 2023-12-13 20:23:12,712 - pyskl - INFO - Epoch [86][400/1281] lr: 9.821e-03, eta: 5:01:14, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 0.2402, loss: 0.2402 2023-12-13 20:23:33,931 - pyskl - INFO - Epoch [86][500/1281] lr: 9.801e-03, eta: 5:00:52, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 0.2465, loss: 0.2465 2023-12-13 20:23:55,597 - pyskl - INFO - Epoch [86][600/1281] lr: 9.781e-03, eta: 5:00:30, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 0.2169, loss: 0.2169 2023-12-13 20:24:17,965 - pyskl - INFO - Epoch [86][700/1281] lr: 9.762e-03, eta: 5:00:08, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2561, loss: 0.2561 2023-12-13 20:24:40,049 - pyskl - INFO - Epoch [86][800/1281] lr: 9.742e-03, eta: 4:59:47, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2376, loss: 0.2376 2023-12-13 20:25:02,216 - pyskl - INFO - Epoch [86][900/1281] lr: 9.722e-03, eta: 4:59:25, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.2660, loss: 0.2660 2023-12-13 20:25:23,925 - pyskl - INFO - Epoch [86][1000/1281] lr: 9.702e-03, eta: 4:59:03, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.2430, loss: 0.2430 2023-12-13 20:25:45,958 - pyskl - INFO - Epoch [86][1100/1281] lr: 9.682e-03, eta: 4:58:42, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2462, loss: 0.2462 2023-12-13 20:26:07,770 - pyskl - INFO - Epoch [86][1200/1281] lr: 9.662e-03, eta: 4:58:20, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 0.2819, loss: 0.2819 2023-12-13 20:26:26,584 - pyskl - INFO - Saving checkpoint at 86 epochs 2023-12-13 20:27:11,159 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 20:27:11,219 - pyskl - INFO - top1_acc 0.9110 top5_acc 0.9947 2023-12-13 20:27:11,219 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 20:27:11,228 - pyskl - INFO - mean_acc 0.8757 2023-12-13 20:27:11,233 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_79.pth was removed 2023-12-13 20:27:11,426 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. 2023-12-13 20:27:11,427 - pyskl - INFO - Best top1_acc is 0.9110 at 86 epoch. 2023-12-13 20:27:11,429 - pyskl - INFO - Epoch(val) [86][533] top1_acc: 0.9110, top5_acc: 0.9947, mean_class_accuracy: 0.8757 2023-12-13 20:27:53,075 - pyskl - INFO - Epoch [87][100/1281] lr: 9.626e-03, eta: 4:57:42, time: 0.416, data_time: 0.195, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9994, loss_cls: 0.2936, loss: 0.2936 2023-12-13 20:28:15,016 - pyskl - INFO - Epoch [87][200/1281] lr: 9.606e-03, eta: 4:57:20, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 0.2702, loss: 0.2702 2023-12-13 20:28:36,950 - pyskl - INFO - Epoch [87][300/1281] lr: 9.586e-03, eta: 4:56:58, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.2632, loss: 0.2632 2023-12-13 20:28:58,968 - pyskl - INFO - Epoch [87][400/1281] lr: 9.566e-03, eta: 4:56:37, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.2255, loss: 0.2255 2023-12-13 20:29:21,107 - pyskl - INFO - Epoch [87][500/1281] lr: 9.546e-03, eta: 4:56:15, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.2012, loss: 0.2012 2023-12-13 20:29:43,059 - pyskl - INFO - Epoch [87][600/1281] lr: 9.527e-03, eta: 4:55:53, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2248, loss: 0.2248 2023-12-13 20:30:04,696 - pyskl - INFO - Epoch [87][700/1281] lr: 9.507e-03, eta: 4:55:32, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2614, loss: 0.2614 2023-12-13 20:30:26,658 - pyskl - INFO - Epoch [87][800/1281] lr: 9.487e-03, eta: 4:55:10, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.2515, loss: 0.2515 2023-12-13 20:30:47,895 - pyskl - INFO - Epoch [87][900/1281] lr: 9.467e-03, eta: 4:54:48, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 0.2638, loss: 0.2638 2023-12-13 20:31:09,263 - pyskl - INFO - Epoch [87][1000/1281] lr: 9.447e-03, eta: 4:54:25, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 0.2728, loss: 0.2728 2023-12-13 20:31:30,781 - pyskl - INFO - Epoch [87][1100/1281] lr: 9.427e-03, eta: 4:54:03, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 0.2464, loss: 0.2464 2023-12-13 20:31:52,881 - pyskl - INFO - Epoch [87][1200/1281] lr: 9.408e-03, eta: 4:53:42, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9319, top5_acc: 1.0000, loss_cls: 0.3292, loss: 0.3292 2023-12-13 20:32:11,525 - pyskl - INFO - Saving checkpoint at 87 epochs 2023-12-13 20:32:59,873 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 20:32:59,933 - pyskl - INFO - top1_acc 0.8970 top5_acc 0.9935 2023-12-13 20:32:59,933 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 20:32:59,942 - pyskl - INFO - mean_acc 0.8719 2023-12-13 20:32:59,956 - pyskl - INFO - Epoch(val) [87][533] top1_acc: 0.8970, top5_acc: 0.9935, mean_class_accuracy: 0.8719 2023-12-13 20:33:42,555 - pyskl - INFO - Epoch [88][100/1281] lr: 9.372e-03, eta: 4:53:05, time: 0.426, data_time: 0.204, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 0.2453, loss: 0.2453 2023-12-13 20:34:04,542 - pyskl - INFO - Epoch [88][200/1281] lr: 9.352e-03, eta: 4:52:43, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.2131, loss: 0.2131 2023-12-13 20:34:26,017 - pyskl - INFO - Epoch [88][300/1281] lr: 9.332e-03, eta: 4:52:21, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 0.2794, loss: 0.2794 2023-12-13 20:34:47,382 - pyskl - INFO - Epoch [88][400/1281] lr: 9.312e-03, eta: 4:51:59, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2351, loss: 0.2351 2023-12-13 20:35:08,568 - pyskl - INFO - Epoch [88][500/1281] lr: 9.293e-03, eta: 4:51:36, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.2311, loss: 0.2311 2023-12-13 20:35:30,352 - pyskl - INFO - Epoch [88][600/1281] lr: 9.273e-03, eta: 4:51:15, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2812, loss: 0.2812 2023-12-13 20:35:52,155 - pyskl - INFO - Epoch [88][700/1281] lr: 9.253e-03, eta: 4:50:53, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 0.2867, loss: 0.2867 2023-12-13 20:36:14,256 - pyskl - INFO - Epoch [88][800/1281] lr: 9.233e-03, eta: 4:50:31, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.2175, loss: 0.2175 2023-12-13 20:36:36,569 - pyskl - INFO - Epoch [88][900/1281] lr: 9.214e-03, eta: 4:50:10, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2331, loss: 0.2331 2023-12-13 20:36:58,444 - pyskl - INFO - Epoch [88][1000/1281] lr: 9.194e-03, eta: 4:49:48, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 0.2097, loss: 0.2097 2023-12-13 20:37:20,290 - pyskl - INFO - Epoch [88][1100/1281] lr: 9.174e-03, eta: 4:49:26, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2257, loss: 0.2257 2023-12-13 20:37:42,080 - pyskl - INFO - Epoch [88][1200/1281] lr: 9.155e-03, eta: 4:49:04, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 0.2496, loss: 0.2496 2023-12-13 20:38:00,554 - pyskl - INFO - Saving checkpoint at 88 epochs 2023-12-13 20:38:47,174 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 20:38:47,236 - pyskl - INFO - top1_acc 0.8929 top5_acc 0.9946 2023-12-13 20:38:47,236 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 20:38:47,245 - pyskl - INFO - mean_acc 0.8710 2023-12-13 20:38:47,249 - pyskl - INFO - Epoch(val) [88][533] top1_acc: 0.8929, top5_acc: 0.9946, mean_class_accuracy: 0.8710 2023-12-13 20:39:27,587 - pyskl - INFO - Epoch [89][100/1281] lr: 9.119e-03, eta: 4:48:25, time: 0.403, data_time: 0.188, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2324, loss: 0.2324 2023-12-13 20:39:50,032 - pyskl - INFO - Epoch [89][200/1281] lr: 9.099e-03, eta: 4:48:04, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.2124, loss: 0.2124 2023-12-13 20:40:12,171 - pyskl - INFO - Epoch [89][300/1281] lr: 9.080e-03, eta: 4:47:42, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.2169, loss: 0.2169 2023-12-13 20:40:34,021 - pyskl - INFO - Epoch [89][400/1281] lr: 9.060e-03, eta: 4:47:21, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 0.2444, loss: 0.2444 2023-12-13 20:40:56,250 - pyskl - INFO - Epoch [89][500/1281] lr: 9.040e-03, eta: 4:46:59, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2374, loss: 0.2374 2023-12-13 20:41:17,981 - pyskl - INFO - Epoch [89][600/1281] lr: 9.021e-03, eta: 4:46:37, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.2369, loss: 0.2369 2023-12-13 20:41:39,579 - pyskl - INFO - Epoch [89][700/1281] lr: 9.001e-03, eta: 4:46:15, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.2646, loss: 0.2646 2023-12-13 20:42:01,495 - pyskl - INFO - Epoch [89][800/1281] lr: 8.982e-03, eta: 4:45:53, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9994, loss_cls: 0.3203, loss: 0.3203 2023-12-13 20:42:23,390 - pyskl - INFO - Epoch [89][900/1281] lr: 8.962e-03, eta: 4:45:32, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.2416, loss: 0.2416 2023-12-13 20:42:44,544 - pyskl - INFO - Epoch [89][1000/1281] lr: 8.942e-03, eta: 4:45:09, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 0.3242, loss: 0.3242 2023-12-13 20:43:05,887 - pyskl - INFO - Epoch [89][1100/1281] lr: 8.923e-03, eta: 4:44:47, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 0.2604, loss: 0.2604 2023-12-13 20:43:27,610 - pyskl - INFO - Epoch [89][1200/1281] lr: 8.903e-03, eta: 4:44:25, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 0.2158, loss: 0.2158 2023-12-13 20:43:46,125 - pyskl - INFO - Saving checkpoint at 89 epochs 2023-12-13 20:44:32,977 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 20:44:33,044 - pyskl - INFO - top1_acc 0.9045 top5_acc 0.9933 2023-12-13 20:44:33,044 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 20:44:33,053 - pyskl - INFO - mean_acc 0.8650 2023-12-13 20:44:33,056 - pyskl - INFO - Epoch(val) [89][533] top1_acc: 0.9045, top5_acc: 0.9933, mean_class_accuracy: 0.8650 2023-12-13 20:45:14,914 - pyskl - INFO - Epoch [90][100/1281] lr: 8.868e-03, eta: 4:43:47, time: 0.419, data_time: 0.201, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2434, loss: 0.2434 2023-12-13 20:45:36,847 - pyskl - INFO - Epoch [90][200/1281] lr: 8.848e-03, eta: 4:43:26, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2649, loss: 0.2649 2023-12-13 20:45:58,574 - pyskl - INFO - Epoch [90][300/1281] lr: 8.829e-03, eta: 4:43:04, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 0.2243, loss: 0.2243 2023-12-13 20:46:19,986 - pyskl - INFO - Epoch [90][400/1281] lr: 8.809e-03, eta: 4:42:42, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.2206, loss: 0.2206 2023-12-13 20:46:41,226 - pyskl - INFO - Epoch [90][500/1281] lr: 8.790e-03, eta: 4:42:20, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1951, loss: 0.1951 2023-12-13 20:47:02,410 - pyskl - INFO - Epoch [90][600/1281] lr: 8.770e-03, eta: 4:41:57, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2223, loss: 0.2223 2023-12-13 20:47:24,187 - pyskl - INFO - Epoch [90][700/1281] lr: 8.751e-03, eta: 4:41:35, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 0.2469, loss: 0.2469 2023-12-13 20:47:46,133 - pyskl - INFO - Epoch [90][800/1281] lr: 8.731e-03, eta: 4:41:14, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.2149, loss: 0.2149 2023-12-13 20:48:07,563 - pyskl - INFO - Epoch [90][900/1281] lr: 8.712e-03, eta: 4:40:52, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2350, loss: 0.2350 2023-12-13 20:48:29,455 - pyskl - INFO - Epoch [90][1000/1281] lr: 8.692e-03, eta: 4:40:30, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 0.2760, loss: 0.2760 2023-12-13 20:48:51,319 - pyskl - INFO - Epoch [90][1100/1281] lr: 8.673e-03, eta: 4:40:08, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2415, loss: 0.2415 2023-12-13 20:49:13,504 - pyskl - INFO - Epoch [90][1200/1281] lr: 8.653e-03, eta: 4:39:47, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2448, loss: 0.2448 2023-12-13 20:49:32,012 - pyskl - INFO - Saving checkpoint at 90 epochs 2023-12-13 20:50:17,960 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 20:50:18,024 - pyskl - INFO - top1_acc 0.9027 top5_acc 0.9939 2023-12-13 20:50:18,024 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 20:50:18,033 - pyskl - INFO - mean_acc 0.8757 2023-12-13 20:50:18,036 - pyskl - INFO - Epoch(val) [90][533] top1_acc: 0.9027, top5_acc: 0.9939, mean_class_accuracy: 0.8757 2023-12-13 20:50:58,323 - pyskl - INFO - Epoch [91][100/1281] lr: 8.618e-03, eta: 4:39:08, time: 0.403, data_time: 0.191, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2791, loss: 0.2791 2023-12-13 20:51:20,269 - pyskl - INFO - Epoch [91][200/1281] lr: 8.599e-03, eta: 4:38:46, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.2053, loss: 0.2053 2023-12-13 20:51:42,350 - pyskl - INFO - Epoch [91][300/1281] lr: 8.579e-03, eta: 4:38:24, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2434, loss: 0.2434 2023-12-13 20:52:04,232 - pyskl - INFO - Epoch [91][400/1281] lr: 8.560e-03, eta: 4:38:02, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 0.2105, loss: 0.2105 2023-12-13 20:52:26,337 - pyskl - INFO - Epoch [91][500/1281] lr: 8.540e-03, eta: 4:37:41, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 0.2208, loss: 0.2208 2023-12-13 20:52:48,517 - pyskl - INFO - Epoch [91][600/1281] lr: 8.521e-03, eta: 4:37:19, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 0.2605, loss: 0.2605 2023-12-13 20:53:10,225 - pyskl - INFO - Epoch [91][700/1281] lr: 8.502e-03, eta: 4:36:57, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.2641, loss: 0.2641 2023-12-13 20:53:31,718 - pyskl - INFO - Epoch [91][800/1281] lr: 8.482e-03, eta: 4:36:35, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.2502, loss: 0.2502 2023-12-13 20:53:53,672 - pyskl - INFO - Epoch [91][900/1281] lr: 8.463e-03, eta: 4:36:14, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2353, loss: 0.2353 2023-12-13 20:54:15,248 - pyskl - INFO - Epoch [91][1000/1281] lr: 8.444e-03, eta: 4:35:52, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 0.2899, loss: 0.2899 2023-12-13 20:54:36,595 - pyskl - INFO - Epoch [91][1100/1281] lr: 8.424e-03, eta: 4:35:29, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 0.3328, loss: 0.3328 2023-12-13 20:54:57,968 - pyskl - INFO - Epoch [91][1200/1281] lr: 8.405e-03, eta: 4:35:07, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.2351, loss: 0.2351 2023-12-13 20:55:16,909 - pyskl - INFO - Saving checkpoint at 91 epochs 2023-12-13 20:56:03,315 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 20:56:03,378 - pyskl - INFO - top1_acc 0.9173 top5_acc 0.9964 2023-12-13 20:56:03,379 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 20:56:03,392 - pyskl - INFO - mean_acc 0.8818 2023-12-13 20:56:03,399 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_86.pth was removed 2023-12-13 20:56:03,636 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. 2023-12-13 20:56:03,636 - pyskl - INFO - Best top1_acc is 0.9173 at 91 epoch. 2023-12-13 20:56:03,639 - pyskl - INFO - Epoch(val) [91][533] top1_acc: 0.9173, top5_acc: 0.9964, mean_class_accuracy: 0.8818 2023-12-13 20:56:46,062 - pyskl - INFO - Epoch [92][100/1281] lr: 8.370e-03, eta: 4:34:30, time: 0.424, data_time: 0.203, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 0.1860, loss: 0.1860 2023-12-13 20:57:07,979 - pyskl - INFO - Epoch [92][200/1281] lr: 8.351e-03, eta: 4:34:08, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.1894, loss: 0.1894 2023-12-13 20:57:29,932 - pyskl - INFO - Epoch [92][300/1281] lr: 8.332e-03, eta: 4:33:46, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2364, loss: 0.2364 2023-12-13 20:57:51,925 - pyskl - INFO - Epoch [92][400/1281] lr: 8.312e-03, eta: 4:33:24, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2281, loss: 0.2281 2023-12-13 20:58:13,808 - pyskl - INFO - Epoch [92][500/1281] lr: 8.293e-03, eta: 4:33:03, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2461, loss: 0.2461 2023-12-13 20:58:35,203 - pyskl - INFO - Epoch [92][600/1281] lr: 8.274e-03, eta: 4:32:41, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 0.2002, loss: 0.2002 2023-12-13 20:58:56,342 - pyskl - INFO - Epoch [92][700/1281] lr: 8.255e-03, eta: 4:32:18, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 0.2490, loss: 0.2490 2023-12-13 20:59:18,029 - pyskl - INFO - Epoch [92][800/1281] lr: 8.235e-03, eta: 4:31:56, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 0.2401, loss: 0.2401 2023-12-13 20:59:40,141 - pyskl - INFO - Epoch [92][900/1281] lr: 8.216e-03, eta: 4:31:35, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1969, loss: 0.1969 2023-12-13 21:00:02,276 - pyskl - INFO - Epoch [92][1000/1281] lr: 8.197e-03, eta: 4:31:13, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.2379, loss: 0.2379 2023-12-13 21:00:23,923 - pyskl - INFO - Epoch [92][1100/1281] lr: 8.178e-03, eta: 4:30:51, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 0.2585, loss: 0.2585 2023-12-13 21:00:45,852 - pyskl - INFO - Epoch [92][1200/1281] lr: 8.159e-03, eta: 4:30:30, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 0.2350, loss: 0.2350 2023-12-13 21:01:04,315 - pyskl - INFO - Saving checkpoint at 92 epochs 2023-12-13 21:01:50,171 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 21:01:50,242 - pyskl - INFO - top1_acc 0.9049 top5_acc 0.9948 2023-12-13 21:01:50,242 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 21:01:50,251 - pyskl - INFO - mean_acc 0.8743 2023-12-13 21:01:50,255 - pyskl - INFO - Epoch(val) [92][533] top1_acc: 0.9049, top5_acc: 0.9948, mean_class_accuracy: 0.8743 2023-12-13 21:02:32,094 - pyskl - INFO - Epoch [93][100/1281] lr: 8.124e-03, eta: 4:29:51, time: 0.418, data_time: 0.205, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.2235, loss: 0.2235 2023-12-13 21:02:53,561 - pyskl - INFO - Epoch [93][200/1281] lr: 8.105e-03, eta: 4:29:29, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.2183, loss: 0.2183 2023-12-13 21:03:15,407 - pyskl - INFO - Epoch [93][300/1281] lr: 8.086e-03, eta: 4:29:08, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1720, loss: 0.1720 2023-12-13 21:03:37,554 - pyskl - INFO - Epoch [93][400/1281] lr: 8.067e-03, eta: 4:28:46, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.2044, loss: 0.2044 2023-12-13 21:03:59,563 - pyskl - INFO - Epoch [93][500/1281] lr: 8.047e-03, eta: 4:28:24, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.2521, loss: 0.2521 2023-12-13 21:04:21,835 - pyskl - INFO - Epoch [93][600/1281] lr: 8.028e-03, eta: 4:28:03, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 0.2181, loss: 0.2181 2023-12-13 21:04:43,957 - pyskl - INFO - Epoch [93][700/1281] lr: 8.009e-03, eta: 4:27:41, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.2394, loss: 0.2394 2023-12-13 21:05:05,628 - pyskl - INFO - Epoch [93][800/1281] lr: 7.990e-03, eta: 4:27:19, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2304, loss: 0.2304 2023-12-13 21:05:27,620 - pyskl - INFO - Epoch [93][900/1281] lr: 7.971e-03, eta: 4:26:57, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.3190, loss: 0.3190 2023-12-13 21:05:49,554 - pyskl - INFO - Epoch [93][1000/1281] lr: 7.952e-03, eta: 4:26:36, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.2428, loss: 0.2428 2023-12-13 21:06:11,509 - pyskl - INFO - Epoch [93][1100/1281] lr: 7.933e-03, eta: 4:26:14, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2338, loss: 0.2338 2023-12-13 21:06:32,961 - pyskl - INFO - Epoch [93][1200/1281] lr: 7.914e-03, eta: 4:25:52, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.2338, loss: 0.2338 2023-12-13 21:06:51,025 - pyskl - INFO - Saving checkpoint at 93 epochs 2023-12-13 21:07:36,094 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 21:07:36,159 - pyskl - INFO - top1_acc 0.9038 top5_acc 0.9942 2023-12-13 21:07:36,159 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 21:07:36,167 - pyskl - INFO - mean_acc 0.8770 2023-12-13 21:07:36,170 - pyskl - INFO - Epoch(val) [93][533] top1_acc: 0.9038, top5_acc: 0.9942, mean_class_accuracy: 0.8770 2023-12-13 21:08:19,996 - pyskl - INFO - Epoch [94][100/1281] lr: 7.880e-03, eta: 4:25:15, time: 0.438, data_time: 0.218, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1842, loss: 0.1842 2023-12-13 21:08:41,867 - pyskl - INFO - Epoch [94][200/1281] lr: 7.861e-03, eta: 4:24:53, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 0.2176, loss: 0.2176 2023-12-13 21:09:04,443 - pyskl - INFO - Epoch [94][300/1281] lr: 7.842e-03, eta: 4:24:32, time: 0.226, data_time: 0.001, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2336, loss: 0.2336 2023-12-13 21:09:26,512 - pyskl - INFO - Epoch [94][400/1281] lr: 7.823e-03, eta: 4:24:10, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 0.2222, loss: 0.2222 2023-12-13 21:09:48,158 - pyskl - INFO - Epoch [94][500/1281] lr: 7.804e-03, eta: 4:23:48, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1779, loss: 0.1779 2023-12-13 21:10:10,434 - pyskl - INFO - Epoch [94][600/1281] lr: 7.785e-03, eta: 4:23:27, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1845, loss: 0.1845 2023-12-13 21:10:32,107 - pyskl - INFO - Epoch [94][700/1281] lr: 7.766e-03, eta: 4:23:05, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2468, loss: 0.2468 2023-12-13 21:10:53,610 - pyskl - INFO - Epoch [94][800/1281] lr: 7.747e-03, eta: 4:22:43, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.2058, loss: 0.2058 2023-12-13 21:11:14,921 - pyskl - INFO - Epoch [94][900/1281] lr: 7.728e-03, eta: 4:22:21, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 0.2409, loss: 0.2409 2023-12-13 21:11:36,714 - pyskl - INFO - Epoch [94][1000/1281] lr: 7.709e-03, eta: 4:21:59, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.2341, loss: 0.2341 2023-12-13 21:11:58,571 - pyskl - INFO - Epoch [94][1100/1281] lr: 7.690e-03, eta: 4:21:37, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.2746, loss: 0.2746 2023-12-13 21:12:20,593 - pyskl - INFO - Epoch [94][1200/1281] lr: 7.672e-03, eta: 4:21:15, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1910, loss: 0.1910 2023-12-13 21:12:39,329 - pyskl - INFO - Saving checkpoint at 94 epochs 2023-12-13 21:13:26,036 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 21:13:26,097 - pyskl - INFO - top1_acc 0.9218 top5_acc 0.9960 2023-12-13 21:13:26,097 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 21:13:26,106 - pyskl - INFO - mean_acc 0.8882 2023-12-13 21:13:26,110 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_91.pth was removed 2023-12-13 21:13:26,340 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. 2023-12-13 21:13:26,341 - pyskl - INFO - Best top1_acc is 0.9218 at 94 epoch. 2023-12-13 21:13:26,345 - pyskl - INFO - Epoch(val) [94][533] top1_acc: 0.9218, top5_acc: 0.9960, mean_class_accuracy: 0.8882 2023-12-13 21:14:08,067 - pyskl - INFO - Epoch [95][100/1281] lr: 7.637e-03, eta: 4:20:37, time: 0.417, data_time: 0.198, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1644, loss: 0.1644 2023-12-13 21:14:29,389 - pyskl - INFO - Epoch [95][200/1281] lr: 7.619e-03, eta: 4:20:15, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1872, loss: 0.1872 2023-12-13 21:14:50,588 - pyskl - INFO - Epoch [95][300/1281] lr: 7.600e-03, eta: 4:19:53, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2173, loss: 0.2173 2023-12-13 21:15:12,404 - pyskl - INFO - Epoch [95][400/1281] lr: 7.581e-03, eta: 4:19:31, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1735, loss: 0.1735 2023-12-13 21:15:34,217 - pyskl - INFO - Epoch [95][500/1281] lr: 7.562e-03, eta: 4:19:09, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1973, loss: 0.1973 2023-12-13 21:15:56,386 - pyskl - INFO - Epoch [95][600/1281] lr: 7.543e-03, eta: 4:18:47, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1728, loss: 0.1728 2023-12-13 21:16:18,406 - pyskl - INFO - Epoch [95][700/1281] lr: 7.525e-03, eta: 4:18:26, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1793, loss: 0.1793 2023-12-13 21:16:40,450 - pyskl - INFO - Epoch [95][800/1281] lr: 7.506e-03, eta: 4:18:04, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1934, loss: 0.1934 2023-12-13 21:17:02,640 - pyskl - INFO - Epoch [95][900/1281] lr: 7.487e-03, eta: 4:17:42, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.2034, loss: 0.2034 2023-12-13 21:17:24,815 - pyskl - INFO - Epoch [95][1000/1281] lr: 7.468e-03, eta: 4:17:21, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 0.2568, loss: 0.2568 2023-12-13 21:17:46,829 - pyskl - INFO - Epoch [95][1100/1281] lr: 7.450e-03, eta: 4:16:59, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.2249, loss: 0.2249 2023-12-13 21:18:08,785 - pyskl - INFO - Epoch [95][1200/1281] lr: 7.431e-03, eta: 4:16:37, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2468, loss: 0.2468 2023-12-13 21:18:26,749 - pyskl - INFO - Saving checkpoint at 95 epochs 2023-12-13 21:19:11,533 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 21:19:11,637 - pyskl - INFO - top1_acc 0.9051 top5_acc 0.9948 2023-12-13 21:19:11,637 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 21:19:11,648 - pyskl - INFO - mean_acc 0.8647 2023-12-13 21:19:11,651 - pyskl - INFO - Epoch(val) [95][533] top1_acc: 0.9051, top5_acc: 0.9948, mean_class_accuracy: 0.8647 2023-12-13 21:19:54,457 - pyskl - INFO - Epoch [96][100/1281] lr: 7.397e-03, eta: 4:16:00, time: 0.428, data_time: 0.206, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.2026, loss: 0.2026 2023-12-13 21:20:16,235 - pyskl - INFO - Epoch [96][200/1281] lr: 7.379e-03, eta: 4:15:38, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1825, loss: 0.1825 2023-12-13 21:20:38,524 - pyskl - INFO - Epoch [96][300/1281] lr: 7.360e-03, eta: 4:15:16, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2287, loss: 0.2287 2023-12-13 21:21:00,656 - pyskl - INFO - Epoch [96][400/1281] lr: 7.341e-03, eta: 4:14:55, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.2046, loss: 0.2046 2023-12-13 21:21:22,710 - pyskl - INFO - Epoch [96][500/1281] lr: 7.323e-03, eta: 4:14:33, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.2089, loss: 0.2089 2023-12-13 21:21:44,596 - pyskl - INFO - Epoch [96][600/1281] lr: 7.304e-03, eta: 4:14:11, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.2023, loss: 0.2023 2023-12-13 21:22:06,616 - pyskl - INFO - Epoch [96][700/1281] lr: 7.286e-03, eta: 4:13:49, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.2288, loss: 0.2288 2023-12-13 21:22:27,744 - pyskl - INFO - Epoch [96][800/1281] lr: 7.267e-03, eta: 4:13:27, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.2064, loss: 0.2064 2023-12-13 21:22:48,905 - pyskl - INFO - Epoch [96][900/1281] lr: 7.249e-03, eta: 4:13:05, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.2012, loss: 0.2012 2023-12-13 21:23:10,383 - pyskl - INFO - Epoch [96][1000/1281] lr: 7.230e-03, eta: 4:12:43, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.2323, loss: 0.2323 2023-12-13 21:23:32,476 - pyskl - INFO - Epoch [96][1100/1281] lr: 7.211e-03, eta: 4:12:21, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.2106, loss: 0.2106 2023-12-13 21:23:54,399 - pyskl - INFO - Epoch [96][1200/1281] lr: 7.193e-03, eta: 4:11:59, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.1949, loss: 0.1949 2023-12-13 21:24:13,201 - pyskl - INFO - Saving checkpoint at 96 epochs 2023-12-13 21:25:00,613 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 21:25:00,673 - pyskl - INFO - top1_acc 0.9110 top5_acc 0.9942 2023-12-13 21:25:00,673 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 21:25:00,682 - pyskl - INFO - mean_acc 0.8801 2023-12-13 21:25:00,684 - pyskl - INFO - Epoch(val) [96][533] top1_acc: 0.9110, top5_acc: 0.9942, mean_class_accuracy: 0.8801 2023-12-13 21:25:43,339 - pyskl - INFO - Epoch [97][100/1281] lr: 7.159e-03, eta: 4:11:22, time: 0.426, data_time: 0.202, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1878, loss: 0.1878 2023-12-13 21:26:04,945 - pyskl - INFO - Epoch [97][200/1281] lr: 7.141e-03, eta: 4:11:00, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.2023, loss: 0.2023 2023-12-13 21:26:26,160 - pyskl - INFO - Epoch [97][300/1281] lr: 7.123e-03, eta: 4:10:37, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.2276, loss: 0.2276 2023-12-13 21:26:47,710 - pyskl - INFO - Epoch [97][400/1281] lr: 7.104e-03, eta: 4:10:15, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.2152, loss: 0.2152 2023-12-13 21:27:09,389 - pyskl - INFO - Epoch [97][500/1281] lr: 7.086e-03, eta: 4:09:54, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2432, loss: 0.2432 2023-12-13 21:27:31,419 - pyskl - INFO - Epoch [97][600/1281] lr: 7.067e-03, eta: 4:09:32, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.1918, loss: 0.1918 2023-12-13 21:27:53,630 - pyskl - INFO - Epoch [97][700/1281] lr: 7.049e-03, eta: 4:09:10, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1915, loss: 0.1915 2023-12-13 21:28:15,852 - pyskl - INFO - Epoch [97][800/1281] lr: 7.030e-03, eta: 4:08:49, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.1978, loss: 0.1978 2023-12-13 21:28:37,731 - pyskl - INFO - Epoch [97][900/1281] lr: 7.012e-03, eta: 4:08:27, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.2091, loss: 0.2091 2023-12-13 21:28:59,560 - pyskl - INFO - Epoch [97][1000/1281] lr: 6.994e-03, eta: 4:08:05, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.2047, loss: 0.2047 2023-12-13 21:29:21,252 - pyskl - INFO - Epoch [97][1100/1281] lr: 6.975e-03, eta: 4:07:43, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.2007, loss: 0.2007 2023-12-13 21:29:43,261 - pyskl - INFO - Epoch [97][1200/1281] lr: 6.957e-03, eta: 4:07:21, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.2195, loss: 0.2195 2023-12-13 21:30:01,356 - pyskl - INFO - Saving checkpoint at 97 epochs 2023-12-13 21:30:45,617 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 21:30:45,679 - pyskl - INFO - top1_acc 0.9193 top5_acc 0.9955 2023-12-13 21:30:45,679 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 21:30:45,688 - pyskl - INFO - mean_acc 0.8920 2023-12-13 21:30:45,691 - pyskl - INFO - Epoch(val) [97][533] top1_acc: 0.9193, top5_acc: 0.9955, mean_class_accuracy: 0.8920 2023-12-13 21:31:28,815 - pyskl - INFO - Epoch [98][100/1281] lr: 6.924e-03, eta: 4:06:44, time: 0.431, data_time: 0.211, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 0.2038, loss: 0.2038 2023-12-13 21:31:50,875 - pyskl - INFO - Epoch [98][200/1281] lr: 6.906e-03, eta: 4:06:22, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1622, loss: 0.1622 2023-12-13 21:32:12,889 - pyskl - INFO - Epoch [98][300/1281] lr: 6.887e-03, eta: 4:06:00, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1498, loss: 0.1498 2023-12-13 21:32:35,164 - pyskl - INFO - Epoch [98][400/1281] lr: 6.869e-03, eta: 4:05:39, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1660, loss: 0.1660 2023-12-13 21:32:57,283 - pyskl - INFO - Epoch [98][500/1281] lr: 6.851e-03, eta: 4:05:17, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1952, loss: 0.1952 2023-12-13 21:33:18,965 - pyskl - INFO - Epoch [98][600/1281] lr: 6.833e-03, eta: 4:04:55, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.2099, loss: 0.2099 2023-12-13 21:33:40,997 - pyskl - INFO - Epoch [98][700/1281] lr: 6.814e-03, eta: 4:04:33, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 0.2353, loss: 0.2353 2023-12-13 21:34:02,384 - pyskl - INFO - Epoch [98][800/1281] lr: 6.796e-03, eta: 4:04:11, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1984, loss: 0.1984 2023-12-13 21:34:23,712 - pyskl - INFO - Epoch [98][900/1281] lr: 6.778e-03, eta: 4:03:49, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.2197, loss: 0.2197 2023-12-13 21:34:45,003 - pyskl - INFO - Epoch [98][1000/1281] lr: 6.760e-03, eta: 4:03:27, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.2199, loss: 0.2199 2023-12-13 21:35:06,893 - pyskl - INFO - Epoch [98][1100/1281] lr: 6.742e-03, eta: 4:03:05, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1922, loss: 0.1922 2023-12-13 21:35:28,798 - pyskl - INFO - Epoch [98][1200/1281] lr: 6.724e-03, eta: 4:02:43, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.2133, loss: 0.2133 2023-12-13 21:35:47,688 - pyskl - INFO - Saving checkpoint at 98 epochs 2023-12-13 21:36:34,611 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 21:36:34,672 - pyskl - INFO - top1_acc 0.9108 top5_acc 0.9940 2023-12-13 21:36:34,673 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 21:36:34,689 - pyskl - INFO - mean_acc 0.8760 2023-12-13 21:36:34,697 - pyskl - INFO - Epoch(val) [98][533] top1_acc: 0.9108, top5_acc: 0.9940, mean_class_accuracy: 0.8760 2023-12-13 21:37:18,292 - pyskl - INFO - Epoch [99][100/1281] lr: 6.691e-03, eta: 4:02:06, time: 0.436, data_time: 0.216, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1796, loss: 0.1796 2023-12-13 21:37:40,322 - pyskl - INFO - Epoch [99][200/1281] lr: 6.673e-03, eta: 4:01:44, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1695, loss: 0.1695 2023-12-13 21:38:01,638 - pyskl - INFO - Epoch [99][300/1281] lr: 6.655e-03, eta: 4:01:22, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1975, loss: 0.1975 2023-12-13 21:38:23,242 - pyskl - INFO - Epoch [99][400/1281] lr: 6.637e-03, eta: 4:01:00, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.1958, loss: 0.1958 2023-12-13 21:38:44,441 - pyskl - INFO - Epoch [99][500/1281] lr: 6.619e-03, eta: 4:00:38, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1629, loss: 0.1629 2023-12-13 21:39:06,429 - pyskl - INFO - Epoch [99][600/1281] lr: 6.601e-03, eta: 4:00:16, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1991, loss: 0.1991 2023-12-13 21:39:28,566 - pyskl - INFO - Epoch [99][700/1281] lr: 6.583e-03, eta: 3:59:55, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 0.2393, loss: 0.2393 2023-12-13 21:39:50,611 - pyskl - INFO - Epoch [99][800/1281] lr: 6.565e-03, eta: 3:59:33, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 0.2034, loss: 0.2034 2023-12-13 21:40:12,395 - pyskl - INFO - Epoch [99][900/1281] lr: 6.547e-03, eta: 3:59:11, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1554, loss: 0.1554 2023-12-13 21:40:34,380 - pyskl - INFO - Epoch [99][1000/1281] lr: 6.529e-03, eta: 3:58:49, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1754, loss: 0.1754 2023-12-13 21:40:56,742 - pyskl - INFO - Epoch [99][1100/1281] lr: 6.511e-03, eta: 3:58:28, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1892, loss: 0.1892 2023-12-13 21:41:18,817 - pyskl - INFO - Epoch [99][1200/1281] lr: 6.493e-03, eta: 3:58:06, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.2478, loss: 0.2478 2023-12-13 21:41:37,622 - pyskl - INFO - Saving checkpoint at 99 epochs 2023-12-13 21:42:22,509 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 21:42:22,578 - pyskl - INFO - top1_acc 0.9122 top5_acc 0.9946 2023-12-13 21:42:22,578 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 21:42:22,588 - pyskl - INFO - mean_acc 0.8869 2023-12-13 21:42:22,591 - pyskl - INFO - Epoch(val) [99][533] top1_acc: 0.9122, top5_acc: 0.9946, mean_class_accuracy: 0.8869 2023-12-13 21:43:04,429 - pyskl - INFO - Epoch [100][100/1281] lr: 6.460e-03, eta: 3:57:28, time: 0.418, data_time: 0.197, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1605, loss: 0.1605 2023-12-13 21:43:26,475 - pyskl - INFO - Epoch [100][200/1281] lr: 6.442e-03, eta: 3:57:06, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1755, loss: 0.1755 2023-12-13 21:43:48,485 - pyskl - INFO - Epoch [100][300/1281] lr: 6.425e-03, eta: 3:56:44, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1779, loss: 0.1779 2023-12-13 21:44:10,680 - pyskl - INFO - Epoch [100][400/1281] lr: 6.407e-03, eta: 3:56:22, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 0.2027, loss: 0.2027 2023-12-13 21:44:32,706 - pyskl - INFO - Epoch [100][500/1281] lr: 6.389e-03, eta: 3:56:01, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1587, loss: 0.1587 2023-12-13 21:44:54,866 - pyskl - INFO - Epoch [100][600/1281] lr: 6.371e-03, eta: 3:55:39, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1825, loss: 0.1825 2023-12-13 21:45:16,784 - pyskl - INFO - Epoch [100][700/1281] lr: 6.353e-03, eta: 3:55:17, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1677, loss: 0.1677 2023-12-13 21:45:38,941 - pyskl - INFO - Epoch [100][800/1281] lr: 6.336e-03, eta: 3:54:55, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1534, loss: 0.1534 2023-12-13 21:46:00,359 - pyskl - INFO - Epoch [100][900/1281] lr: 6.318e-03, eta: 3:54:33, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.2115, loss: 0.2115 2023-12-13 21:46:21,665 - pyskl - INFO - Epoch [100][1000/1281] lr: 6.300e-03, eta: 3:54:11, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1882, loss: 0.1882 2023-12-13 21:46:43,056 - pyskl - INFO - Epoch [100][1100/1281] lr: 6.282e-03, eta: 3:53:49, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1640, loss: 0.1640 2023-12-13 21:47:04,810 - pyskl - INFO - Epoch [100][1200/1281] lr: 6.265e-03, eta: 3:53:27, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.2092, loss: 0.2092 2023-12-13 21:47:23,735 - pyskl - INFO - Saving checkpoint at 100 epochs 2023-12-13 21:48:10,901 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 21:48:10,971 - pyskl - INFO - top1_acc 0.9236 top5_acc 0.9954 2023-12-13 21:48:10,971 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 21:48:10,981 - pyskl - INFO - mean_acc 0.8997 2023-12-13 21:48:10,986 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_94.pth was removed 2023-12-13 21:48:11,272 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_100.pth. 2023-12-13 21:48:11,272 - pyskl - INFO - Best top1_acc is 0.9236 at 100 epoch. 2023-12-13 21:48:11,275 - pyskl - INFO - Epoch(val) [100][533] top1_acc: 0.9236, top5_acc: 0.9954, mean_class_accuracy: 0.8997 2023-12-13 21:48:53,860 - pyskl - INFO - Epoch [101][100/1281] lr: 6.232e-03, eta: 3:52:49, time: 0.426, data_time: 0.206, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1302, loss: 0.1302 2023-12-13 21:49:15,764 - pyskl - INFO - Epoch [101][200/1281] lr: 6.215e-03, eta: 3:52:28, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1794, loss: 0.1794 2023-12-13 21:49:37,127 - pyskl - INFO - Epoch [101][300/1281] lr: 6.197e-03, eta: 3:52:05, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1713, loss: 0.1713 2023-12-13 21:49:58,463 - pyskl - INFO - Epoch [101][400/1281] lr: 6.180e-03, eta: 3:51:43, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1524, loss: 0.1524 2023-12-13 21:50:19,900 - pyskl - INFO - Epoch [101][500/1281] lr: 6.162e-03, eta: 3:51:21, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1494, loss: 0.1494 2023-12-13 21:50:41,636 - pyskl - INFO - Epoch [101][600/1281] lr: 6.144e-03, eta: 3:50:59, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1631, loss: 0.1631 2023-12-13 21:51:03,196 - pyskl - INFO - Epoch [101][700/1281] lr: 6.127e-03, eta: 3:50:37, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1854, loss: 0.1854 2023-12-13 21:51:25,048 - pyskl - INFO - Epoch [101][800/1281] lr: 6.109e-03, eta: 3:50:16, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 0.2220, loss: 0.2220 2023-12-13 21:51:46,945 - pyskl - INFO - Epoch [101][900/1281] lr: 6.092e-03, eta: 3:49:54, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1835, loss: 0.1835 2023-12-13 21:52:08,919 - pyskl - INFO - Epoch [101][1000/1281] lr: 6.074e-03, eta: 3:49:32, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1802, loss: 0.1802 2023-12-13 21:52:30,854 - pyskl - INFO - Epoch [101][1100/1281] lr: 6.057e-03, eta: 3:49:10, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 0.2065, loss: 0.2065 2023-12-13 21:52:52,723 - pyskl - INFO - Epoch [101][1200/1281] lr: 6.039e-03, eta: 3:48:48, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.1853, loss: 0.1853 2023-12-13 21:53:10,723 - pyskl - INFO - Saving checkpoint at 101 epochs 2023-12-13 21:53:55,589 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 21:53:55,651 - pyskl - INFO - top1_acc 0.9164 top5_acc 0.9955 2023-12-13 21:53:55,651 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 21:53:55,662 - pyskl - INFO - mean_acc 0.8870 2023-12-13 21:53:55,666 - pyskl - INFO - Epoch(val) [101][533] top1_acc: 0.9164, top5_acc: 0.9955, mean_class_accuracy: 0.8870 2023-12-13 21:54:39,550 - pyskl - INFO - Epoch [102][100/1281] lr: 6.007e-03, eta: 3:48:11, time: 0.439, data_time: 0.217, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1709, loss: 0.1709 2023-12-13 21:55:01,428 - pyskl - INFO - Epoch [102][200/1281] lr: 5.990e-03, eta: 3:47:49, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1437, loss: 0.1437 2023-12-13 21:55:23,368 - pyskl - INFO - Epoch [102][300/1281] lr: 5.972e-03, eta: 3:47:27, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1744, loss: 0.1744 2023-12-13 21:55:45,444 - pyskl - INFO - Epoch [102][400/1281] lr: 5.955e-03, eta: 3:47:06, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1733, loss: 0.1733 2023-12-13 21:56:07,677 - pyskl - INFO - Epoch [102][500/1281] lr: 5.938e-03, eta: 3:46:44, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1606, loss: 0.1606 2023-12-13 21:56:29,417 - pyskl - INFO - Epoch [102][600/1281] lr: 5.920e-03, eta: 3:46:22, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1477, loss: 0.1477 2023-12-13 21:56:51,472 - pyskl - INFO - Epoch [102][700/1281] lr: 5.903e-03, eta: 3:46:00, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1681, loss: 0.1681 2023-12-13 21:57:13,014 - pyskl - INFO - Epoch [102][800/1281] lr: 5.886e-03, eta: 3:45:38, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1659, loss: 0.1659 2023-12-13 21:57:34,226 - pyskl - INFO - Epoch [102][900/1281] lr: 5.868e-03, eta: 3:45:16, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1631, loss: 0.1631 2023-12-13 21:57:55,568 - pyskl - INFO - Epoch [102][1000/1281] lr: 5.851e-03, eta: 3:44:54, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.2050, loss: 0.2050 2023-12-13 21:58:17,550 - pyskl - INFO - Epoch [102][1100/1281] lr: 5.834e-03, eta: 3:44:32, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1474, loss: 0.1474 2023-12-13 21:58:39,604 - pyskl - INFO - Epoch [102][1200/1281] lr: 5.816e-03, eta: 3:44:10, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.1972, loss: 0.1972 2023-12-13 21:58:58,590 - pyskl - INFO - Saving checkpoint at 102 epochs 2023-12-13 21:59:45,341 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 21:59:45,414 - pyskl - INFO - top1_acc 0.9232 top5_acc 0.9966 2023-12-13 21:59:45,414 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 21:59:45,424 - pyskl - INFO - mean_acc 0.8920 2023-12-13 21:59:45,427 - pyskl - INFO - Epoch(val) [102][533] top1_acc: 0.9232, top5_acc: 0.9966, mean_class_accuracy: 0.8920 2023-12-13 22:00:27,726 - pyskl - INFO - Epoch [103][100/1281] lr: 5.785e-03, eta: 3:43:32, time: 0.423, data_time: 0.206, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1642, loss: 0.1642 2023-12-13 22:00:49,498 - pyskl - INFO - Epoch [103][200/1281] lr: 5.768e-03, eta: 3:43:10, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1669, loss: 0.1669 2023-12-13 22:01:10,789 - pyskl - INFO - Epoch [103][300/1281] lr: 5.751e-03, eta: 3:42:48, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.2001, loss: 0.2001 2023-12-13 22:01:32,151 - pyskl - INFO - Epoch [103][400/1281] lr: 5.733e-03, eta: 3:42:26, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1946, loss: 0.1946 2023-12-13 22:01:54,079 - pyskl - INFO - Epoch [103][500/1281] lr: 5.716e-03, eta: 3:42:04, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1616, loss: 0.1616 2023-12-13 22:02:16,159 - pyskl - INFO - Epoch [103][600/1281] lr: 5.699e-03, eta: 3:41:43, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1827, loss: 0.1827 2023-12-13 22:02:37,862 - pyskl - INFO - Epoch [103][700/1281] lr: 5.682e-03, eta: 3:41:21, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1821, loss: 0.1821 2023-12-13 22:02:59,518 - pyskl - INFO - Epoch [103][800/1281] lr: 5.665e-03, eta: 3:40:59, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1611, loss: 0.1611 2023-12-13 22:03:21,484 - pyskl - INFO - Epoch [103][900/1281] lr: 5.648e-03, eta: 3:40:37, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.2022, loss: 0.2022 2023-12-13 22:03:43,488 - pyskl - INFO - Epoch [103][1000/1281] lr: 5.631e-03, eta: 3:40:15, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1755, loss: 0.1755 2023-12-13 22:04:05,226 - pyskl - INFO - Epoch [103][1100/1281] lr: 5.614e-03, eta: 3:39:53, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1407, loss: 0.1407 2023-12-13 22:04:27,148 - pyskl - INFO - Epoch [103][1200/1281] lr: 5.597e-03, eta: 3:39:31, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1870, loss: 0.1870 2023-12-13 22:04:45,253 - pyskl - INFO - Saving checkpoint at 103 epochs 2023-12-13 22:05:29,473 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 22:05:29,599 - pyskl - INFO - top1_acc 0.9183 top5_acc 0.9947 2023-12-13 22:05:29,599 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 22:05:29,607 - pyskl - INFO - mean_acc 0.8913 2023-12-13 22:05:29,611 - pyskl - INFO - Epoch(val) [103][533] top1_acc: 0.9183, top5_acc: 0.9947, mean_class_accuracy: 0.8913 2023-12-13 22:06:12,976 - pyskl - INFO - Epoch [104][100/1281] lr: 5.566e-03, eta: 3:38:54, time: 0.434, data_time: 0.216, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1451, loss: 0.1451 2023-12-13 22:06:34,802 - pyskl - INFO - Epoch [104][200/1281] lr: 5.549e-03, eta: 3:38:32, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1527, loss: 0.1527 2023-12-13 22:06:56,869 - pyskl - INFO - Epoch [104][300/1281] lr: 5.532e-03, eta: 3:38:10, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1511, loss: 0.1511 2023-12-13 22:07:18,769 - pyskl - INFO - Epoch [104][400/1281] lr: 5.515e-03, eta: 3:37:48, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1713, loss: 0.1713 2023-12-13 22:07:41,057 - pyskl - INFO - Epoch [104][500/1281] lr: 5.498e-03, eta: 3:37:27, time: 0.223, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1498, loss: 0.1498 2023-12-13 22:08:02,864 - pyskl - INFO - Epoch [104][600/1281] lr: 5.481e-03, eta: 3:37:05, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1594, loss: 0.1594 2023-12-13 22:08:24,792 - pyskl - INFO - Epoch [104][700/1281] lr: 5.464e-03, eta: 3:36:43, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1127, loss: 0.1127 2023-12-13 22:08:45,952 - pyskl - INFO - Epoch [104][800/1281] lr: 5.447e-03, eta: 3:36:21, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1588, loss: 0.1588 2023-12-13 22:09:07,362 - pyskl - INFO - Epoch [104][900/1281] lr: 5.430e-03, eta: 3:35:59, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1619, loss: 0.1619 2023-12-13 22:09:29,127 - pyskl - INFO - Epoch [104][1000/1281] lr: 5.413e-03, eta: 3:35:37, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1706, loss: 0.1706 2023-12-13 22:09:51,260 - pyskl - INFO - Epoch [104][1100/1281] lr: 5.397e-03, eta: 3:35:15, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1809, loss: 0.1809 2023-12-13 22:10:13,101 - pyskl - INFO - Epoch [104][1200/1281] lr: 5.380e-03, eta: 3:34:53, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.1862, loss: 0.1862 2023-12-13 22:10:31,931 - pyskl - INFO - Saving checkpoint at 104 epochs 2023-12-13 22:11:18,500 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 22:11:18,571 - pyskl - INFO - top1_acc 0.9259 top5_acc 0.9946 2023-12-13 22:11:18,572 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 22:11:18,580 - pyskl - INFO - mean_acc 0.9011 2023-12-13 22:11:18,585 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_100.pth was removed 2023-12-13 22:11:18,782 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. 2023-12-13 22:11:18,782 - pyskl - INFO - Best top1_acc is 0.9259 at 104 epoch. 2023-12-13 22:11:18,786 - pyskl - INFO - Epoch(val) [104][533] top1_acc: 0.9259, top5_acc: 0.9946, mean_class_accuracy: 0.9011 2023-12-13 22:12:01,237 - pyskl - INFO - Epoch [105][100/1281] lr: 5.349e-03, eta: 3:34:15, time: 0.424, data_time: 0.205, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1704, loss: 0.1704 2023-12-13 22:12:22,545 - pyskl - INFO - Epoch [105][200/1281] lr: 5.333e-03, eta: 3:33:53, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1630, loss: 0.1630 2023-12-13 22:12:43,787 - pyskl - INFO - Epoch [105][300/1281] lr: 5.316e-03, eta: 3:33:31, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1483, loss: 0.1483 2023-12-13 22:13:05,120 - pyskl - INFO - Epoch [105][400/1281] lr: 5.299e-03, eta: 3:33:09, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1810, loss: 0.1810 2023-12-13 22:13:27,287 - pyskl - INFO - Epoch [105][500/1281] lr: 5.283e-03, eta: 3:32:47, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1443, loss: 0.1443 2023-12-13 22:13:49,188 - pyskl - INFO - Epoch [105][600/1281] lr: 5.266e-03, eta: 3:32:25, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1806, loss: 0.1806 2023-12-13 22:14:11,067 - pyskl - INFO - Epoch [105][700/1281] lr: 5.249e-03, eta: 3:32:03, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1417, loss: 0.1417 2023-12-13 22:14:32,984 - pyskl - INFO - Epoch [105][800/1281] lr: 5.233e-03, eta: 3:31:41, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1315, loss: 0.1315 2023-12-13 22:14:55,009 - pyskl - INFO - Epoch [105][900/1281] lr: 5.216e-03, eta: 3:31:20, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1430, loss: 0.1430 2023-12-13 22:15:17,058 - pyskl - INFO - Epoch [105][1000/1281] lr: 5.199e-03, eta: 3:30:58, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1666, loss: 0.1666 2023-12-13 22:15:38,702 - pyskl - INFO - Epoch [105][1100/1281] lr: 5.183e-03, eta: 3:30:36, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1574, loss: 0.1574 2023-12-13 22:16:00,482 - pyskl - INFO - Epoch [105][1200/1281] lr: 5.166e-03, eta: 3:30:14, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1591, loss: 0.1591 2023-12-13 22:16:18,471 - pyskl - INFO - Saving checkpoint at 105 epochs 2023-12-13 22:17:03,392 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 22:17:03,459 - pyskl - INFO - top1_acc 0.9228 top5_acc 0.9969 2023-12-13 22:17:03,459 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 22:17:03,468 - pyskl - INFO - mean_acc 0.8931 2023-12-13 22:17:03,471 - pyskl - INFO - Epoch(val) [105][533] top1_acc: 0.9228, top5_acc: 0.9969, mean_class_accuracy: 0.8931 2023-12-13 22:17:46,457 - pyskl - INFO - Epoch [106][100/1281] lr: 5.136e-03, eta: 3:29:36, time: 0.430, data_time: 0.208, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1436, loss: 0.1436 2023-12-13 22:18:08,424 - pyskl - INFO - Epoch [106][200/1281] lr: 5.120e-03, eta: 3:29:14, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1489, loss: 0.1489 2023-12-13 22:18:30,698 - pyskl - INFO - Epoch [106][300/1281] lr: 5.103e-03, eta: 3:28:52, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1507, loss: 0.1507 2023-12-13 22:18:52,692 - pyskl - INFO - Epoch [106][400/1281] lr: 5.087e-03, eta: 3:28:31, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.1060, loss: 0.1060 2023-12-13 22:19:14,578 - pyskl - INFO - Epoch [106][500/1281] lr: 5.070e-03, eta: 3:28:09, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1231, loss: 0.1231 2023-12-13 22:19:36,414 - pyskl - INFO - Epoch [106][600/1281] lr: 5.054e-03, eta: 3:27:47, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1163, loss: 0.1163 2023-12-13 22:19:58,099 - pyskl - INFO - Epoch [106][700/1281] lr: 5.038e-03, eta: 3:27:25, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1465, loss: 0.1465 2023-12-13 22:20:19,349 - pyskl - INFO - Epoch [106][800/1281] lr: 5.021e-03, eta: 3:27:03, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1257, loss: 0.1257 2023-12-13 22:20:40,767 - pyskl - INFO - Epoch [106][900/1281] lr: 5.005e-03, eta: 3:26:41, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1353, loss: 0.1353 2023-12-13 22:21:02,500 - pyskl - INFO - Epoch [106][1000/1281] lr: 4.988e-03, eta: 3:26:19, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1345, loss: 0.1345 2023-12-13 22:21:24,283 - pyskl - INFO - Epoch [106][1100/1281] lr: 4.972e-03, eta: 3:25:57, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1298, loss: 0.1298 2023-12-13 22:21:46,165 - pyskl - INFO - Epoch [106][1200/1281] lr: 4.956e-03, eta: 3:25:35, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1834, loss: 0.1834 2023-12-13 22:22:04,855 - pyskl - INFO - Saving checkpoint at 106 epochs 2023-12-13 22:22:51,378 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 22:22:51,447 - pyskl - INFO - top1_acc 0.9122 top5_acc 0.9946 2023-12-13 22:22:51,447 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 22:22:51,456 - pyskl - INFO - mean_acc 0.8863 2023-12-13 22:22:51,459 - pyskl - INFO - Epoch(val) [106][533] top1_acc: 0.9122, top5_acc: 0.9946, mean_class_accuracy: 0.8863 2023-12-13 22:23:33,643 - pyskl - INFO - Epoch [107][100/1281] lr: 4.926e-03, eta: 3:24:57, time: 0.422, data_time: 0.201, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1535, loss: 0.1535 2023-12-13 22:23:55,164 - pyskl - INFO - Epoch [107][200/1281] lr: 4.910e-03, eta: 3:24:35, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1094, loss: 0.1094 2023-12-13 22:24:16,561 - pyskl - INFO - Epoch [107][300/1281] lr: 4.894e-03, eta: 3:24:13, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1030, loss: 0.1030 2023-12-13 22:24:38,173 - pyskl - INFO - Epoch [107][400/1281] lr: 4.878e-03, eta: 3:23:51, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1090, loss: 0.1090 2023-12-13 22:25:00,080 - pyskl - INFO - Epoch [107][500/1281] lr: 4.862e-03, eta: 3:23:29, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1167, loss: 0.1167 2023-12-13 22:25:22,188 - pyskl - INFO - Epoch [107][600/1281] lr: 4.845e-03, eta: 3:23:07, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1317, loss: 0.1317 2023-12-13 22:25:44,128 - pyskl - INFO - Epoch [107][700/1281] lr: 4.829e-03, eta: 3:22:45, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1400, loss: 0.1400 2023-12-13 22:26:06,135 - pyskl - INFO - Epoch [107][800/1281] lr: 4.813e-03, eta: 3:22:24, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1035, loss: 0.1035 2023-12-13 22:26:27,898 - pyskl - INFO - Epoch [107][900/1281] lr: 4.797e-03, eta: 3:22:02, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1235, loss: 0.1235 2023-12-13 22:26:49,993 - pyskl - INFO - Epoch [107][1000/1281] lr: 4.781e-03, eta: 3:21:40, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1245, loss: 0.1245 2023-12-13 22:27:11,957 - pyskl - INFO - Epoch [107][1100/1281] lr: 4.765e-03, eta: 3:21:18, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1248, loss: 0.1248 2023-12-13 22:27:34,086 - pyskl - INFO - Epoch [107][1200/1281] lr: 4.749e-03, eta: 3:20:56, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1605, loss: 0.1605 2023-12-13 22:27:52,228 - pyskl - INFO - Saving checkpoint at 107 epochs 2023-12-13 22:28:36,940 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 22:28:37,014 - pyskl - INFO - top1_acc 0.9194 top5_acc 0.9942 2023-12-13 22:28:37,014 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 22:28:37,022 - pyskl - INFO - mean_acc 0.8899 2023-12-13 22:28:37,026 - pyskl - INFO - Epoch(val) [107][533] top1_acc: 0.9194, top5_acc: 0.9942, mean_class_accuracy: 0.8899 2023-12-13 22:29:18,942 - pyskl - INFO - Epoch [108][100/1281] lr: 4.720e-03, eta: 3:20:18, time: 0.419, data_time: 0.202, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1380, loss: 0.1380 2023-12-13 22:29:40,546 - pyskl - INFO - Epoch [108][200/1281] lr: 4.704e-03, eta: 3:19:56, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1623, loss: 0.1623 2023-12-13 22:30:02,378 - pyskl - INFO - Epoch [108][300/1281] lr: 4.688e-03, eta: 3:19:34, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1301, loss: 0.1301 2023-12-13 22:30:24,750 - pyskl - INFO - Epoch [108][400/1281] lr: 4.672e-03, eta: 3:19:12, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1392, loss: 0.1392 2023-12-13 22:30:46,606 - pyskl - INFO - Epoch [108][500/1281] lr: 4.656e-03, eta: 3:18:50, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1052, loss: 0.1052 2023-12-13 22:31:08,365 - pyskl - INFO - Epoch [108][600/1281] lr: 4.640e-03, eta: 3:18:28, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.1064, loss: 0.1064 2023-12-13 22:31:30,159 - pyskl - INFO - Epoch [108][700/1281] lr: 4.624e-03, eta: 3:18:07, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1013, loss: 0.1013 2023-12-13 22:31:51,754 - pyskl - INFO - Epoch [108][800/1281] lr: 4.608e-03, eta: 3:17:45, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1371, loss: 0.1371 2023-12-13 22:32:13,082 - pyskl - INFO - Epoch [108][900/1281] lr: 4.593e-03, eta: 3:17:23, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1471, loss: 0.1471 2023-12-13 22:32:35,179 - pyskl - INFO - Epoch [108][1000/1281] lr: 4.577e-03, eta: 3:17:01, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1606, loss: 0.1606 2023-12-13 22:32:57,407 - pyskl - INFO - Epoch [108][1100/1281] lr: 4.561e-03, eta: 3:16:39, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1465, loss: 0.1465 2023-12-13 22:33:19,407 - pyskl - INFO - Epoch [108][1200/1281] lr: 4.545e-03, eta: 3:16:17, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1810, loss: 0.1810 2023-12-13 22:33:38,062 - pyskl - INFO - Saving checkpoint at 108 epochs 2023-12-13 22:34:25,521 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 22:34:25,591 - pyskl - INFO - top1_acc 0.9220 top5_acc 0.9959 2023-12-13 22:34:25,591 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 22:34:25,602 - pyskl - INFO - mean_acc 0.8958 2023-12-13 22:34:25,608 - pyskl - INFO - Epoch(val) [108][533] top1_acc: 0.9220, top5_acc: 0.9959, mean_class_accuracy: 0.8958 2023-12-13 22:35:07,696 - pyskl - INFO - Epoch [109][100/1281] lr: 4.517e-03, eta: 3:15:39, time: 0.421, data_time: 0.203, memory: 4120, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1899, loss: 0.1899 2023-12-13 22:35:29,008 - pyskl - INFO - Epoch [109][200/1281] lr: 4.501e-03, eta: 3:15:17, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1418, loss: 0.1418 2023-12-13 22:35:50,254 - pyskl - INFO - Epoch [109][300/1281] lr: 4.485e-03, eta: 3:14:55, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1331, loss: 0.1331 2023-12-13 22:36:11,807 - pyskl - INFO - Epoch [109][400/1281] lr: 4.470e-03, eta: 3:14:33, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1479, loss: 0.1479 2023-12-13 22:36:34,011 - pyskl - INFO - Epoch [109][500/1281] lr: 4.454e-03, eta: 3:14:11, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1525, loss: 0.1525 2023-12-13 22:36:56,088 - pyskl - INFO - Epoch [109][600/1281] lr: 4.438e-03, eta: 3:13:49, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1206, loss: 0.1206 2023-12-13 22:37:17,830 - pyskl - INFO - Epoch [109][700/1281] lr: 4.423e-03, eta: 3:13:27, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1280, loss: 0.1280 2023-12-13 22:37:39,896 - pyskl - INFO - Epoch [109][800/1281] lr: 4.407e-03, eta: 3:13:05, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1235, loss: 0.1235 2023-12-13 22:38:01,961 - pyskl - INFO - Epoch [109][900/1281] lr: 4.391e-03, eta: 3:12:44, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1029, loss: 0.1029 2023-12-13 22:38:23,801 - pyskl - INFO - Epoch [109][1000/1281] lr: 4.376e-03, eta: 3:12:22, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0996, loss: 0.0996 2023-12-13 22:38:45,985 - pyskl - INFO - Epoch [109][1100/1281] lr: 4.360e-03, eta: 3:12:00, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1251, loss: 0.1251 2023-12-13 22:39:07,804 - pyskl - INFO - Epoch [109][1200/1281] lr: 4.345e-03, eta: 3:11:38, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1233, loss: 0.1233 2023-12-13 22:39:25,975 - pyskl - INFO - Saving checkpoint at 109 epochs 2023-12-13 22:40:10,646 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 22:40:10,716 - pyskl - INFO - top1_acc 0.9258 top5_acc 0.9962 2023-12-13 22:40:10,717 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 22:40:10,727 - pyskl - INFO - mean_acc 0.8978 2023-12-13 22:40:10,731 - pyskl - INFO - Epoch(val) [109][533] top1_acc: 0.9258, top5_acc: 0.9962, mean_class_accuracy: 0.8978 2023-12-13 22:40:53,065 - pyskl - INFO - Epoch [110][100/1281] lr: 4.317e-03, eta: 3:11:00, time: 0.423, data_time: 0.204, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0894, loss: 0.0894 2023-12-13 22:41:15,194 - pyskl - INFO - Epoch [110][200/1281] lr: 4.301e-03, eta: 3:10:38, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0816, loss: 0.0816 2023-12-13 22:41:37,344 - pyskl - INFO - Epoch [110][300/1281] lr: 4.286e-03, eta: 3:10:16, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1083, loss: 0.1083 2023-12-13 22:41:59,087 - pyskl - INFO - Epoch [110][400/1281] lr: 4.271e-03, eta: 3:09:54, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1396, loss: 0.1396 2023-12-13 22:42:21,374 - pyskl - INFO - Epoch [110][500/1281] lr: 4.255e-03, eta: 3:09:32, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.1018, loss: 0.1018 2023-12-13 22:42:43,381 - pyskl - INFO - Epoch [110][600/1281] lr: 4.240e-03, eta: 3:09:11, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1000, loss: 0.1000 2023-12-13 22:43:05,558 - pyskl - INFO - Epoch [110][700/1281] lr: 4.225e-03, eta: 3:08:49, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1051, loss: 0.1051 2023-12-13 22:43:26,973 - pyskl - INFO - Epoch [110][800/1281] lr: 4.209e-03, eta: 3:08:27, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0956, loss: 0.0956 2023-12-13 22:43:48,506 - pyskl - INFO - Epoch [110][900/1281] lr: 4.194e-03, eta: 3:08:05, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1049, loss: 0.1049 2023-12-13 22:44:09,950 - pyskl - INFO - Epoch [110][1000/1281] lr: 4.179e-03, eta: 3:07:43, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1332, loss: 0.1332 2023-12-13 22:44:31,973 - pyskl - INFO - Epoch [110][1100/1281] lr: 4.164e-03, eta: 3:07:21, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1075, loss: 0.1075 2023-12-13 22:44:54,044 - pyskl - INFO - Epoch [110][1200/1281] lr: 4.148e-03, eta: 3:06:59, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1285, loss: 0.1285 2023-12-13 22:45:13,062 - pyskl - INFO - Saving checkpoint at 110 epochs 2023-12-13 22:45:59,494 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 22:45:59,570 - pyskl - INFO - top1_acc 0.9274 top5_acc 0.9961 2023-12-13 22:45:59,570 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 22:45:59,580 - pyskl - INFO - mean_acc 0.8984 2023-12-13 22:45:59,586 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_104.pth was removed 2023-12-13 22:45:59,790 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. 2023-12-13 22:45:59,790 - pyskl - INFO - Best top1_acc is 0.9274 at 110 epoch. 2023-12-13 22:45:59,793 - pyskl - INFO - Epoch(val) [110][533] top1_acc: 0.9274, top5_acc: 0.9961, mean_class_accuracy: 0.8984 2023-12-13 22:46:42,760 - pyskl - INFO - Epoch [111][100/1281] lr: 4.121e-03, eta: 3:06:21, time: 0.430, data_time: 0.207, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1073, loss: 0.1073 2023-12-13 22:47:04,892 - pyskl - INFO - Epoch [111][200/1281] lr: 4.106e-03, eta: 3:05:59, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1094, loss: 0.1094 2023-12-13 22:47:26,264 - pyskl - INFO - Epoch [111][300/1281] lr: 4.091e-03, eta: 3:05:37, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1038, loss: 0.1038 2023-12-13 22:47:47,573 - pyskl - INFO - Epoch [111][400/1281] lr: 4.075e-03, eta: 3:05:15, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1073, loss: 0.1073 2023-12-13 22:48:09,013 - pyskl - INFO - Epoch [111][500/1281] lr: 4.060e-03, eta: 3:04:53, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1286, loss: 0.1286 2023-12-13 22:48:30,818 - pyskl - INFO - Epoch [111][600/1281] lr: 4.045e-03, eta: 3:04:31, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1061, loss: 0.1061 2023-12-13 22:48:52,792 - pyskl - INFO - Epoch [111][700/1281] lr: 4.030e-03, eta: 3:04:09, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1705, loss: 0.1705 2023-12-13 22:49:14,640 - pyskl - INFO - Epoch [111][800/1281] lr: 4.015e-03, eta: 3:03:47, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1262, loss: 0.1262 2023-12-13 22:49:36,528 - pyskl - INFO - Epoch [111][900/1281] lr: 4.000e-03, eta: 3:03:26, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1089, loss: 0.1089 2023-12-13 22:49:58,680 - pyskl - INFO - Epoch [111][1000/1281] lr: 3.985e-03, eta: 3:03:04, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0905, loss: 0.0905 2023-12-13 22:50:20,646 - pyskl - INFO - Epoch [111][1100/1281] lr: 3.970e-03, eta: 3:02:42, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1299, loss: 0.1299 2023-12-13 22:50:42,842 - pyskl - INFO - Epoch [111][1200/1281] lr: 3.955e-03, eta: 3:02:20, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1203, loss: 0.1203 2023-12-13 22:51:01,167 - pyskl - INFO - Saving checkpoint at 111 epochs 2023-12-13 22:51:45,982 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 22:51:46,056 - pyskl - INFO - top1_acc 0.9255 top5_acc 0.9947 2023-12-13 22:51:46,056 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 22:51:46,065 - pyskl - INFO - mean_acc 0.9087 2023-12-13 22:51:46,068 - pyskl - INFO - Epoch(val) [111][533] top1_acc: 0.9255, top5_acc: 0.9947, mean_class_accuracy: 0.9087 2023-12-13 22:52:27,138 - pyskl - INFO - Epoch [112][100/1281] lr: 3.928e-03, eta: 3:01:41, time: 0.411, data_time: 0.190, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0846, loss: 0.0846 2023-12-13 22:52:49,315 - pyskl - INFO - Epoch [112][200/1281] lr: 3.914e-03, eta: 3:01:19, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0939, loss: 0.0939 2023-12-13 22:53:11,015 - pyskl - INFO - Epoch [112][300/1281] lr: 3.899e-03, eta: 3:00:58, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0909, loss: 0.0909 2023-12-13 22:53:33,042 - pyskl - INFO - Epoch [112][400/1281] lr: 3.884e-03, eta: 3:00:36, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1262, loss: 0.1262 2023-12-13 22:53:55,078 - pyskl - INFO - Epoch [112][500/1281] lr: 3.869e-03, eta: 3:00:14, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1096, loss: 0.1096 2023-12-13 22:54:16,920 - pyskl - INFO - Epoch [112][600/1281] lr: 3.854e-03, eta: 2:59:52, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1106, loss: 0.1106 2023-12-13 22:54:39,058 - pyskl - INFO - Epoch [112][700/1281] lr: 3.840e-03, eta: 2:59:30, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1275, loss: 0.1275 2023-12-13 22:55:00,912 - pyskl - INFO - Epoch [112][800/1281] lr: 3.825e-03, eta: 2:59:08, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1216, loss: 0.1216 2023-12-13 22:55:22,323 - pyskl - INFO - Epoch [112][900/1281] lr: 3.810e-03, eta: 2:58:46, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0895, loss: 0.0895 2023-12-13 22:55:43,727 - pyskl - INFO - Epoch [112][1000/1281] lr: 3.795e-03, eta: 2:58:24, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1019, loss: 0.1019 2023-12-13 22:56:05,208 - pyskl - INFO - Epoch [112][1100/1281] lr: 3.781e-03, eta: 2:58:02, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1003, loss: 0.1003 2023-12-13 22:56:27,523 - pyskl - INFO - Epoch [112][1200/1281] lr: 3.766e-03, eta: 2:57:41, time: 0.223, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1285, loss: 0.1285 2023-12-13 22:56:45,938 - pyskl - INFO - Saving checkpoint at 112 epochs 2023-12-13 22:57:32,397 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 22:57:32,455 - pyskl - INFO - top1_acc 0.9270 top5_acc 0.9953 2023-12-13 22:57:32,456 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 22:57:32,466 - pyskl - INFO - mean_acc 0.9019 2023-12-13 22:57:32,469 - pyskl - INFO - Epoch(val) [112][533] top1_acc: 0.9270, top5_acc: 0.9953, mean_class_accuracy: 0.9019 2023-12-13 22:58:15,795 - pyskl - INFO - Epoch [113][100/1281] lr: 3.740e-03, eta: 2:57:02, time: 0.433, data_time: 0.210, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1014, loss: 0.1014 2023-12-13 22:58:38,044 - pyskl - INFO - Epoch [113][200/1281] lr: 3.725e-03, eta: 2:56:41, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1080, loss: 0.1080 2023-12-13 22:58:59,540 - pyskl - INFO - Epoch [113][300/1281] lr: 3.711e-03, eta: 2:56:19, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0935, loss: 0.0935 2023-12-13 22:59:20,901 - pyskl - INFO - Epoch [113][400/1281] lr: 3.696e-03, eta: 2:55:57, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1018, loss: 0.1018 2023-12-13 22:59:42,119 - pyskl - INFO - Epoch [113][500/1281] lr: 3.682e-03, eta: 2:55:34, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1061, loss: 0.1061 2023-12-13 23:00:04,070 - pyskl - INFO - Epoch [113][600/1281] lr: 3.667e-03, eta: 2:55:13, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1137, loss: 0.1137 2023-12-13 23:00:26,073 - pyskl - INFO - Epoch [113][700/1281] lr: 3.653e-03, eta: 2:54:51, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1012, loss: 0.1012 2023-12-13 23:00:48,217 - pyskl - INFO - Epoch [113][800/1281] lr: 3.638e-03, eta: 2:54:29, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1141, loss: 0.1141 2023-12-13 23:01:09,725 - pyskl - INFO - Epoch [113][900/1281] lr: 3.624e-03, eta: 2:54:07, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1268, loss: 0.1268 2023-12-13 23:01:31,453 - pyskl - INFO - Epoch [113][1000/1281] lr: 3.610e-03, eta: 2:53:45, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1086, loss: 0.1086 2023-12-13 23:01:53,163 - pyskl - INFO - Epoch [113][1100/1281] lr: 3.595e-03, eta: 2:53:23, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1533, loss: 0.1533 2023-12-13 23:02:15,054 - pyskl - INFO - Epoch [113][1200/1281] lr: 3.581e-03, eta: 2:53:01, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1225, loss: 0.1225 2023-12-13 23:02:33,956 - pyskl - INFO - Saving checkpoint at 113 epochs 2023-12-13 23:03:19,357 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 23:03:19,420 - pyskl - INFO - top1_acc 0.9261 top5_acc 0.9962 2023-12-13 23:03:19,421 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 23:03:19,429 - pyskl - INFO - mean_acc 0.8984 2023-12-13 23:03:19,431 - pyskl - INFO - Epoch(val) [113][533] top1_acc: 0.9261, top5_acc: 0.9962, mean_class_accuracy: 0.8984 2023-12-13 23:04:00,663 - pyskl - INFO - Epoch [114][100/1281] lr: 3.555e-03, eta: 2:52:22, time: 0.412, data_time: 0.196, memory: 4120, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0846, loss: 0.0846 2023-12-13 23:04:22,473 - pyskl - INFO - Epoch [114][200/1281] lr: 3.541e-03, eta: 2:52:00, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0813, loss: 0.0813 2023-12-13 23:04:44,509 - pyskl - INFO - Epoch [114][300/1281] lr: 3.526e-03, eta: 2:51:39, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1203, loss: 0.1203 2023-12-13 23:05:06,373 - pyskl - INFO - Epoch [114][400/1281] lr: 3.512e-03, eta: 2:51:17, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0940, loss: 0.0940 2023-12-13 23:05:28,352 - pyskl - INFO - Epoch [114][500/1281] lr: 3.498e-03, eta: 2:50:55, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0920, loss: 0.0920 2023-12-13 23:05:50,306 - pyskl - INFO - Epoch [114][600/1281] lr: 3.484e-03, eta: 2:50:33, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0946, loss: 0.0946 2023-12-13 23:06:12,124 - pyskl - INFO - Epoch [114][700/1281] lr: 3.470e-03, eta: 2:50:11, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1102, loss: 0.1102 2023-12-13 23:06:33,805 - pyskl - INFO - Epoch [114][800/1281] lr: 3.456e-03, eta: 2:49:49, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0911, loss: 0.0911 2023-12-13 23:06:55,226 - pyskl - INFO - Epoch [114][900/1281] lr: 3.442e-03, eta: 2:49:27, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0860, loss: 0.0860 2023-12-13 23:07:16,361 - pyskl - INFO - Epoch [114][1000/1281] lr: 3.427e-03, eta: 2:49:05, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.1051, loss: 0.1051 2023-12-13 23:07:38,150 - pyskl - INFO - Epoch [114][1100/1281] lr: 3.413e-03, eta: 2:48:43, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1068, loss: 0.1068 2023-12-13 23:07:59,792 - pyskl - INFO - Epoch [114][1200/1281] lr: 3.399e-03, eta: 2:48:21, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1096, loss: 0.1096 2023-12-13 23:08:18,718 - pyskl - INFO - Saving checkpoint at 114 epochs 2023-12-13 23:09:04,879 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 23:09:04,942 - pyskl - INFO - top1_acc 0.9288 top5_acc 0.9955 2023-12-13 23:09:04,942 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 23:09:04,954 - pyskl - INFO - mean_acc 0.8991 2023-12-13 23:09:04,964 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_110.pth was removed 2023-12-13 23:09:05,272 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. 2023-12-13 23:09:05,273 - pyskl - INFO - Best top1_acc is 0.9288 at 114 epoch. 2023-12-13 23:09:05,276 - pyskl - INFO - Epoch(val) [114][533] top1_acc: 0.9288, top5_acc: 0.9955, mean_class_accuracy: 0.8991 2023-12-13 23:09:46,531 - pyskl - INFO - Epoch [115][100/1281] lr: 3.374e-03, eta: 2:47:42, time: 0.412, data_time: 0.195, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1044, loss: 0.1044 2023-12-13 23:10:08,208 - pyskl - INFO - Epoch [115][200/1281] lr: 3.360e-03, eta: 2:47:20, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0906, loss: 0.0906 2023-12-13 23:10:29,876 - pyskl - INFO - Epoch [115][300/1281] lr: 3.346e-03, eta: 2:46:58, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0865, loss: 0.0865 2023-12-13 23:10:51,360 - pyskl - INFO - Epoch [115][400/1281] lr: 3.332e-03, eta: 2:46:36, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0996, loss: 0.0996 2023-12-13 23:11:12,848 - pyskl - INFO - Epoch [115][500/1281] lr: 3.318e-03, eta: 2:46:14, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0964, loss: 0.0964 2023-12-13 23:11:34,954 - pyskl - INFO - Epoch [115][600/1281] lr: 3.305e-03, eta: 2:45:53, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0863, loss: 0.0863 2023-12-13 23:11:57,067 - pyskl - INFO - Epoch [115][700/1281] lr: 3.291e-03, eta: 2:45:31, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0833, loss: 0.0833 2023-12-13 23:12:19,144 - pyskl - INFO - Epoch [115][800/1281] lr: 3.277e-03, eta: 2:45:09, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0996, loss: 0.0996 2023-12-13 23:12:41,073 - pyskl - INFO - Epoch [115][900/1281] lr: 3.263e-03, eta: 2:44:47, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1234, loss: 0.1234 2023-12-13 23:13:02,914 - pyskl - INFO - Epoch [115][1000/1281] lr: 3.249e-03, eta: 2:44:25, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1032, loss: 0.1032 2023-12-13 23:13:24,685 - pyskl - INFO - Epoch [115][1100/1281] lr: 3.236e-03, eta: 2:44:03, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1076, loss: 0.1076 2023-12-13 23:13:46,363 - pyskl - INFO - Epoch [115][1200/1281] lr: 3.222e-03, eta: 2:43:42, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0815, loss: 0.0815 2023-12-13 23:14:05,199 - pyskl - INFO - Saving checkpoint at 115 epochs 2023-12-13 23:14:49,484 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 23:14:49,552 - pyskl - INFO - top1_acc 0.9271 top5_acc 0.9952 2023-12-13 23:14:49,552 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 23:14:49,564 - pyskl - INFO - mean_acc 0.9012 2023-12-13 23:14:49,567 - pyskl - INFO - Epoch(val) [115][533] top1_acc: 0.9271, top5_acc: 0.9952, mean_class_accuracy: 0.9012 2023-12-13 23:15:31,516 - pyskl - INFO - Epoch [116][100/1281] lr: 3.197e-03, eta: 2:43:03, time: 0.419, data_time: 0.201, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0729, loss: 0.0729 2023-12-13 23:15:53,722 - pyskl - INFO - Epoch [116][200/1281] lr: 3.184e-03, eta: 2:42:41, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0989, loss: 0.0989 2023-12-13 23:16:15,777 - pyskl - INFO - Epoch [116][300/1281] lr: 3.170e-03, eta: 2:42:19, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0810, loss: 0.0810 2023-12-13 23:16:37,692 - pyskl - INFO - Epoch [116][400/1281] lr: 3.156e-03, eta: 2:41:57, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.1034, loss: 0.1034 2023-12-13 23:16:59,527 - pyskl - INFO - Epoch [116][500/1281] lr: 3.143e-03, eta: 2:41:35, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0728, loss: 0.0728 2023-12-13 23:17:21,420 - pyskl - INFO - Epoch [116][600/1281] lr: 3.129e-03, eta: 2:41:13, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0878, loss: 0.0878 2023-12-13 23:17:43,520 - pyskl - INFO - Epoch [116][700/1281] lr: 3.116e-03, eta: 2:40:52, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0873, loss: 0.0873 2023-12-13 23:18:04,790 - pyskl - INFO - Epoch [116][800/1281] lr: 3.102e-03, eta: 2:40:30, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0722, loss: 0.0722 2023-12-13 23:18:26,145 - pyskl - INFO - Epoch [116][900/1281] lr: 3.089e-03, eta: 2:40:08, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0751, loss: 0.0751 2023-12-13 23:18:47,582 - pyskl - INFO - Epoch [116][1000/1281] lr: 3.075e-03, eta: 2:39:46, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0809, loss: 0.0809 2023-12-13 23:19:09,888 - pyskl - INFO - Epoch [116][1100/1281] lr: 3.062e-03, eta: 2:39:24, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0821, loss: 0.0821 2023-12-13 23:19:31,868 - pyskl - INFO - Epoch [116][1200/1281] lr: 3.049e-03, eta: 2:39:02, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0718, loss: 0.0718 2023-12-13 23:19:50,663 - pyskl - INFO - Saving checkpoint at 116 epochs 2023-12-13 23:20:37,679 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 23:20:37,741 - pyskl - INFO - top1_acc 0.9362 top5_acc 0.9960 2023-12-13 23:20:37,741 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 23:20:37,749 - pyskl - INFO - mean_acc 0.9071 2023-12-13 23:20:37,753 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_114.pth was removed 2023-12-13 23:20:38,077 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. 2023-12-13 23:20:38,078 - pyskl - INFO - Best top1_acc is 0.9362 at 116 epoch. 2023-12-13 23:20:38,086 - pyskl - INFO - Epoch(val) [116][533] top1_acc: 0.9362, top5_acc: 0.9960, mean_class_accuracy: 0.9071 2023-12-13 23:21:21,725 - pyskl - INFO - Epoch [117][100/1281] lr: 3.024e-03, eta: 2:38:24, time: 0.436, data_time: 0.215, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0713, loss: 0.0713 2023-12-13 23:21:43,243 - pyskl - INFO - Epoch [117][200/1281] lr: 3.011e-03, eta: 2:38:02, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0651, loss: 0.0651 2023-12-13 23:22:04,504 - pyskl - INFO - Epoch [117][300/1281] lr: 2.998e-03, eta: 2:37:40, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0648, loss: 0.0648 2023-12-13 23:22:25,709 - pyskl - INFO - Epoch [117][400/1281] lr: 2.984e-03, eta: 2:37:18, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0798, loss: 0.0798 2023-12-13 23:22:47,670 - pyskl - INFO - Epoch [117][500/1281] lr: 2.971e-03, eta: 2:36:56, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0582, loss: 0.0582 2023-12-13 23:23:09,607 - pyskl - INFO - Epoch [117][600/1281] lr: 2.958e-03, eta: 2:36:34, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0617, loss: 0.0617 2023-12-13 23:23:31,507 - pyskl - INFO - Epoch [117][700/1281] lr: 2.945e-03, eta: 2:36:12, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0615, loss: 0.0615 2023-12-13 23:23:53,161 - pyskl - INFO - Epoch [117][800/1281] lr: 2.932e-03, eta: 2:35:50, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0675, loss: 0.0675 2023-12-13 23:24:14,936 - pyskl - INFO - Epoch [117][900/1281] lr: 2.919e-03, eta: 2:35:28, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0718, loss: 0.0718 2023-12-13 23:24:36,717 - pyskl - INFO - Epoch [117][1000/1281] lr: 2.905e-03, eta: 2:35:06, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0766, loss: 0.0766 2023-12-13 23:24:58,336 - pyskl - INFO - Epoch [117][1100/1281] lr: 2.892e-03, eta: 2:34:44, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0666, loss: 0.0666 2023-12-13 23:25:20,023 - pyskl - INFO - Epoch [117][1200/1281] lr: 2.879e-03, eta: 2:34:22, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0725, loss: 0.0725 2023-12-13 23:25:37,895 - pyskl - INFO - Saving checkpoint at 117 epochs 2023-12-13 23:26:22,304 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 23:26:22,394 - pyskl - INFO - top1_acc 0.9313 top5_acc 0.9951 2023-12-13 23:26:22,394 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 23:26:22,411 - pyskl - INFO - mean_acc 0.9061 2023-12-13 23:26:22,420 - pyskl - INFO - Epoch(val) [117][533] top1_acc: 0.9313, top5_acc: 0.9951, mean_class_accuracy: 0.9061 2023-12-13 23:27:04,649 - pyskl - INFO - Epoch [118][100/1281] lr: 2.856e-03, eta: 2:33:44, time: 0.422, data_time: 0.205, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0750, loss: 0.0750 2023-12-13 23:27:26,427 - pyskl - INFO - Epoch [118][200/1281] lr: 2.843e-03, eta: 2:33:22, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0663, loss: 0.0663 2023-12-13 23:27:47,999 - pyskl - INFO - Epoch [118][300/1281] lr: 2.830e-03, eta: 2:33:00, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0780, loss: 0.0780 2023-12-13 23:28:09,857 - pyskl - INFO - Epoch [118][400/1281] lr: 2.817e-03, eta: 2:32:38, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0961, loss: 0.0961 2023-12-13 23:28:31,646 - pyskl - INFO - Epoch [118][500/1281] lr: 2.804e-03, eta: 2:32:16, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0761, loss: 0.0761 2023-12-13 23:28:53,487 - pyskl - INFO - Epoch [118][600/1281] lr: 2.791e-03, eta: 2:31:54, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0887, loss: 0.0887 2023-12-13 23:29:15,013 - pyskl - INFO - Epoch [118][700/1281] lr: 2.778e-03, eta: 2:31:32, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0680, loss: 0.0680 2023-12-13 23:29:36,295 - pyskl - INFO - Epoch [118][800/1281] lr: 2.765e-03, eta: 2:31:10, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0594, loss: 0.0594 2023-12-13 23:29:58,185 - pyskl - INFO - Epoch [118][900/1281] lr: 2.753e-03, eta: 2:30:48, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0722, loss: 0.0722 2023-12-13 23:30:20,116 - pyskl - INFO - Epoch [118][1000/1281] lr: 2.740e-03, eta: 2:30:26, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0765, loss: 0.0765 2023-12-13 23:30:42,137 - pyskl - INFO - Epoch [118][1100/1281] lr: 2.727e-03, eta: 2:30:04, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0640, loss: 0.0640 2023-12-13 23:31:04,002 - pyskl - INFO - Epoch [118][1200/1281] lr: 2.714e-03, eta: 2:29:43, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0967, loss: 0.0967 2023-12-13 23:31:22,789 - pyskl - INFO - Saving checkpoint at 118 epochs 2023-12-13 23:32:09,420 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 23:32:09,482 - pyskl - INFO - top1_acc 0.9282 top5_acc 0.9965 2023-12-13 23:32:09,482 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 23:32:09,491 - pyskl - INFO - mean_acc 0.8997 2023-12-13 23:32:09,494 - pyskl - INFO - Epoch(val) [118][533] top1_acc: 0.9282, top5_acc: 0.9965, mean_class_accuracy: 0.8997 2023-12-13 23:32:52,226 - pyskl - INFO - Epoch [119][100/1281] lr: 2.691e-03, eta: 2:29:04, time: 0.427, data_time: 0.211, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0565, loss: 0.0565 2023-12-13 23:33:13,560 - pyskl - INFO - Epoch [119][200/1281] lr: 2.679e-03, eta: 2:28:42, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0623, loss: 0.0623 2023-12-13 23:33:34,860 - pyskl - INFO - Epoch [119][300/1281] lr: 2.666e-03, eta: 2:28:20, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0576, loss: 0.0576 2023-12-13 23:33:56,707 - pyskl - INFO - Epoch [119][400/1281] lr: 2.653e-03, eta: 2:27:58, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0560, loss: 0.0560 2023-12-13 23:34:18,458 - pyskl - INFO - Epoch [119][500/1281] lr: 2.641e-03, eta: 2:27:36, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1030, loss: 0.1030 2023-12-13 23:34:40,335 - pyskl - INFO - Epoch [119][600/1281] lr: 2.628e-03, eta: 2:27:14, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0851, loss: 0.0851 2023-12-13 23:35:02,224 - pyskl - INFO - Epoch [119][700/1281] lr: 2.616e-03, eta: 2:26:52, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0648, loss: 0.0648 2023-12-13 23:35:23,970 - pyskl - INFO - Epoch [119][800/1281] lr: 2.603e-03, eta: 2:26:30, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0782, loss: 0.0782 2023-12-13 23:35:46,207 - pyskl - INFO - Epoch [119][900/1281] lr: 2.591e-03, eta: 2:26:09, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0844, loss: 0.0844 2023-12-13 23:36:08,097 - pyskl - INFO - Epoch [119][1000/1281] lr: 2.578e-03, eta: 2:25:47, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0874, loss: 0.0874 2023-12-13 23:36:30,143 - pyskl - INFO - Epoch [119][1100/1281] lr: 2.566e-03, eta: 2:25:25, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0806, loss: 0.0806 2023-12-13 23:36:51,491 - pyskl - INFO - Epoch [119][1200/1281] lr: 2.554e-03, eta: 2:25:03, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0856, loss: 0.0856 2023-12-13 23:37:09,697 - pyskl - INFO - Saving checkpoint at 119 epochs 2023-12-13 23:37:55,417 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 23:37:55,481 - pyskl - INFO - top1_acc 0.9332 top5_acc 0.9959 2023-12-13 23:37:55,481 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 23:37:55,490 - pyskl - INFO - mean_acc 0.9065 2023-12-13 23:37:55,493 - pyskl - INFO - Epoch(val) [119][533] top1_acc: 0.9332, top5_acc: 0.9959, mean_class_accuracy: 0.9065 2023-12-13 23:38:38,496 - pyskl - INFO - Epoch [120][100/1281] lr: 2.531e-03, eta: 2:24:24, time: 0.430, data_time: 0.211, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0589, loss: 0.0589 2023-12-13 23:39:00,463 - pyskl - INFO - Epoch [120][200/1281] lr: 2.519e-03, eta: 2:24:02, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0661, loss: 0.0661 2023-12-13 23:39:22,389 - pyskl - INFO - Epoch [120][300/1281] lr: 2.507e-03, eta: 2:23:40, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0704, loss: 0.0704 2023-12-13 23:39:44,365 - pyskl - INFO - Epoch [120][400/1281] lr: 2.494e-03, eta: 2:23:19, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0630, loss: 0.0630 2023-12-13 23:40:06,321 - pyskl - INFO - Epoch [120][500/1281] lr: 2.482e-03, eta: 2:22:57, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0644, loss: 0.0644 2023-12-13 23:40:27,887 - pyskl - INFO - Epoch [120][600/1281] lr: 2.470e-03, eta: 2:22:35, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0747, loss: 0.0747 2023-12-13 23:40:49,080 - pyskl - INFO - Epoch [120][700/1281] lr: 2.458e-03, eta: 2:22:13, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0492, loss: 0.0492 2023-12-13 23:41:10,195 - pyskl - INFO - Epoch [120][800/1281] lr: 2.446e-03, eta: 2:21:51, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0563, loss: 0.0563 2023-12-13 23:41:32,117 - pyskl - INFO - Epoch [120][900/1281] lr: 2.433e-03, eta: 2:21:29, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0518, loss: 0.0518 2023-12-13 23:41:54,203 - pyskl - INFO - Epoch [120][1000/1281] lr: 2.421e-03, eta: 2:21:07, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0517, loss: 0.0517 2023-12-13 23:42:16,200 - pyskl - INFO - Epoch [120][1100/1281] lr: 2.409e-03, eta: 2:20:45, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0818, loss: 0.0818 2023-12-13 23:42:38,289 - pyskl - INFO - Epoch [120][1200/1281] lr: 2.397e-03, eta: 2:20:23, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0729, loss: 0.0729 2023-12-13 23:42:56,940 - pyskl - INFO - Saving checkpoint at 120 epochs 2023-12-13 23:43:43,368 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 23:43:43,440 - pyskl - INFO - top1_acc 0.9386 top5_acc 0.9962 2023-12-13 23:43:43,440 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 23:43:43,450 - pyskl - INFO - mean_acc 0.9165 2023-12-13 23:43:43,460 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_116.pth was removed 2023-12-13 23:43:43,725 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. 2023-12-13 23:43:43,726 - pyskl - INFO - Best top1_acc is 0.9386 at 120 epoch. 2023-12-13 23:43:43,732 - pyskl - INFO - Epoch(val) [120][533] top1_acc: 0.9386, top5_acc: 0.9962, mean_class_accuracy: 0.9165 2023-12-13 23:44:24,884 - pyskl - INFO - Epoch [121][100/1281] lr: 2.375e-03, eta: 2:19:44, time: 0.411, data_time: 0.198, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0683, loss: 0.0683 2023-12-13 23:44:46,402 - pyskl - INFO - Epoch [121][200/1281] lr: 2.363e-03, eta: 2:19:22, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0535, loss: 0.0535 2023-12-13 23:45:07,892 - pyskl - INFO - Epoch [121][300/1281] lr: 2.351e-03, eta: 2:19:00, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0617, loss: 0.0617 2023-12-13 23:45:29,608 - pyskl - INFO - Epoch [121][400/1281] lr: 2.340e-03, eta: 2:18:38, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0870, loss: 0.0870 2023-12-13 23:45:51,462 - pyskl - INFO - Epoch [121][500/1281] lr: 2.328e-03, eta: 2:18:16, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0683, loss: 0.0683 2023-12-13 23:46:13,283 - pyskl - INFO - Epoch [121][600/1281] lr: 2.316e-03, eta: 2:17:55, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0549, loss: 0.0549 2023-12-13 23:46:35,069 - pyskl - INFO - Epoch [121][700/1281] lr: 2.304e-03, eta: 2:17:33, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0696, loss: 0.0696 2023-12-13 23:46:56,930 - pyskl - INFO - Epoch [121][800/1281] lr: 2.292e-03, eta: 2:17:11, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0768, loss: 0.0768 2023-12-13 23:47:18,659 - pyskl - INFO - Epoch [121][900/1281] lr: 2.280e-03, eta: 2:16:49, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0601, loss: 0.0601 2023-12-13 23:47:40,434 - pyskl - INFO - Epoch [121][1000/1281] lr: 2.269e-03, eta: 2:16:27, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0634, loss: 0.0634 2023-12-13 23:48:01,918 - pyskl - INFO - Epoch [121][1100/1281] lr: 2.257e-03, eta: 2:16:05, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0590, loss: 0.0590 2023-12-13 23:48:23,287 - pyskl - INFO - Epoch [121][1200/1281] lr: 2.245e-03, eta: 2:15:43, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0672, loss: 0.0672 2023-12-13 23:48:41,289 - pyskl - INFO - Saving checkpoint at 121 epochs 2023-12-13 23:49:27,470 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 23:49:27,540 - pyskl - INFO - top1_acc 0.9324 top5_acc 0.9945 2023-12-13 23:49:27,541 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 23:49:27,549 - pyskl - INFO - mean_acc 0.9083 2023-12-13 23:49:27,552 - pyskl - INFO - Epoch(val) [121][533] top1_acc: 0.9324, top5_acc: 0.9945, mean_class_accuracy: 0.9083 2023-12-13 23:50:09,276 - pyskl - INFO - Epoch [122][100/1281] lr: 2.224e-03, eta: 2:15:04, time: 0.417, data_time: 0.201, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1168, loss: 0.1168 2023-12-13 23:50:31,165 - pyskl - INFO - Epoch [122][200/1281] lr: 2.212e-03, eta: 2:14:42, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0951, loss: 0.0951 2023-12-13 23:50:53,310 - pyskl - INFO - Epoch [122][300/1281] lr: 2.201e-03, eta: 2:14:20, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0667, loss: 0.0667 2023-12-13 23:51:15,138 - pyskl - INFO - Epoch [122][400/1281] lr: 2.189e-03, eta: 2:13:58, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0773, loss: 0.0773 2023-12-13 23:51:36,607 - pyskl - INFO - Epoch [122][500/1281] lr: 2.178e-03, eta: 2:13:36, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0814, loss: 0.0814 2023-12-13 23:51:57,832 - pyskl - INFO - Epoch [122][600/1281] lr: 2.166e-03, eta: 2:13:14, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0725, loss: 0.0725 2023-12-13 23:52:19,146 - pyskl - INFO - Epoch [122][700/1281] lr: 2.155e-03, eta: 2:12:52, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0636, loss: 0.0636 2023-12-13 23:52:41,138 - pyskl - INFO - Epoch [122][800/1281] lr: 2.143e-03, eta: 2:12:31, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0644, loss: 0.0644 2023-12-13 23:53:03,254 - pyskl - INFO - Epoch [122][900/1281] lr: 2.132e-03, eta: 2:12:09, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0762, loss: 0.0762 2023-12-13 23:53:25,311 - pyskl - INFO - Epoch [122][1000/1281] lr: 2.120e-03, eta: 2:11:47, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0567, loss: 0.0567 2023-12-13 23:53:47,284 - pyskl - INFO - Epoch [122][1100/1281] lr: 2.109e-03, eta: 2:11:25, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0538, loss: 0.0538 2023-12-13 23:54:08,961 - pyskl - INFO - Epoch [122][1200/1281] lr: 2.098e-03, eta: 2:11:03, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0662, loss: 0.0662 2023-12-13 23:54:27,425 - pyskl - INFO - Saving checkpoint at 122 epochs 2023-12-13 23:55:14,419 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 23:55:14,481 - pyskl - INFO - top1_acc 0.9311 top5_acc 0.9961 2023-12-13 23:55:14,482 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 23:55:14,490 - pyskl - INFO - mean_acc 0.9020 2023-12-13 23:55:14,493 - pyskl - INFO - Epoch(val) [122][533] top1_acc: 0.9311, top5_acc: 0.9961, mean_class_accuracy: 0.9020 2023-12-13 23:55:55,241 - pyskl - INFO - Epoch [123][100/1281] lr: 2.077e-03, eta: 2:10:24, time: 0.407, data_time: 0.195, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0691, loss: 0.0691 2023-12-13 23:56:16,597 - pyskl - INFO - Epoch [123][200/1281] lr: 2.066e-03, eta: 2:10:02, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0637, loss: 0.0637 2023-12-13 23:56:38,480 - pyskl - INFO - Epoch [123][300/1281] lr: 2.055e-03, eta: 2:09:40, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0605, loss: 0.0605 2023-12-13 23:57:00,382 - pyskl - INFO - Epoch [123][400/1281] lr: 2.044e-03, eta: 2:09:18, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0571, loss: 0.0571 2023-12-13 23:57:21,977 - pyskl - INFO - Epoch [123][500/1281] lr: 2.032e-03, eta: 2:08:56, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0629, loss: 0.0629 2023-12-13 23:57:43,887 - pyskl - INFO - Epoch [123][600/1281] lr: 2.021e-03, eta: 2:08:34, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0647, loss: 0.0647 2023-12-13 23:58:05,842 - pyskl - INFO - Epoch [123][700/1281] lr: 2.010e-03, eta: 2:08:12, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0811, loss: 0.0811 2023-12-13 23:58:27,712 - pyskl - INFO - Epoch [123][800/1281] lr: 1.999e-03, eta: 2:07:50, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0730, loss: 0.0730 2023-12-13 23:58:49,753 - pyskl - INFO - Epoch [123][900/1281] lr: 1.988e-03, eta: 2:07:29, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0684, loss: 0.0684 2023-12-13 23:59:11,325 - pyskl - INFO - Epoch [123][1000/1281] lr: 1.977e-03, eta: 2:07:07, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0639, loss: 0.0639 2023-12-13 23:59:33,172 - pyskl - INFO - Epoch [123][1100/1281] lr: 1.966e-03, eta: 2:06:45, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0626, loss: 0.0626 2023-12-13 23:59:54,580 - pyskl - INFO - Epoch [123][1200/1281] lr: 1.955e-03, eta: 2:06:23, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0502, loss: 0.0502 2023-12-14 00:00:12,452 - pyskl - INFO - Saving checkpoint at 123 epochs 2023-12-14 00:00:57,964 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 00:00:58,051 - pyskl - INFO - top1_acc 0.9343 top5_acc 0.9962 2023-12-14 00:00:58,051 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 00:00:58,069 - pyskl - INFO - mean_acc 0.9101 2023-12-14 00:00:58,073 - pyskl - INFO - Epoch(val) [123][533] top1_acc: 0.9343, top5_acc: 0.9962, mean_class_accuracy: 0.9101 2023-12-14 00:01:41,573 - pyskl - INFO - Epoch [124][100/1281] lr: 1.935e-03, eta: 2:05:44, time: 0.435, data_time: 0.215, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0514, loss: 0.0514 2023-12-14 00:02:03,726 - pyskl - INFO - Epoch [124][200/1281] lr: 1.924e-03, eta: 2:05:22, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0546, loss: 0.0546 2023-12-14 00:02:25,409 - pyskl - INFO - Epoch [124][300/1281] lr: 1.913e-03, eta: 2:05:00, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0558, loss: 0.0558 2023-12-14 00:02:47,229 - pyskl - INFO - Epoch [124][400/1281] lr: 1.902e-03, eta: 2:04:38, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0538, loss: 0.0538 2023-12-14 00:03:09,099 - pyskl - INFO - Epoch [124][500/1281] lr: 1.892e-03, eta: 2:04:17, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0511, loss: 0.0511 2023-12-14 00:03:30,553 - pyskl - INFO - Epoch [124][600/1281] lr: 1.881e-03, eta: 2:03:55, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0571, loss: 0.0571 2023-12-14 00:03:51,759 - pyskl - INFO - Epoch [124][700/1281] lr: 1.870e-03, eta: 2:03:33, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0592, loss: 0.0592 2023-12-14 00:04:12,841 - pyskl - INFO - Epoch [124][800/1281] lr: 1.859e-03, eta: 2:03:11, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0631, loss: 0.0631 2023-12-14 00:04:34,366 - pyskl - INFO - Epoch [124][900/1281] lr: 1.849e-03, eta: 2:02:49, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0581, loss: 0.0581 2023-12-14 00:04:56,413 - pyskl - INFO - Epoch [124][1000/1281] lr: 1.838e-03, eta: 2:02:27, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0591, loss: 0.0591 2023-12-14 00:05:18,135 - pyskl - INFO - Epoch [124][1100/1281] lr: 1.827e-03, eta: 2:02:05, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0564, loss: 0.0564 2023-12-14 00:05:39,998 - pyskl - INFO - Epoch [124][1200/1281] lr: 1.817e-03, eta: 2:01:43, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0521, loss: 0.0521 2023-12-14 00:05:58,565 - pyskl - INFO - Saving checkpoint at 124 epochs 2023-12-14 00:06:45,614 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 00:06:45,672 - pyskl - INFO - top1_acc 0.9392 top5_acc 0.9960 2023-12-14 00:06:45,673 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 00:06:45,682 - pyskl - INFO - mean_acc 0.9159 2023-12-14 00:06:45,687 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_120.pth was removed 2023-12-14 00:06:45,877 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. 2023-12-14 00:06:45,877 - pyskl - INFO - Best top1_acc is 0.9392 at 124 epoch. 2023-12-14 00:06:45,880 - pyskl - INFO - Epoch(val) [124][533] top1_acc: 0.9392, top5_acc: 0.9960, mean_class_accuracy: 0.9159 2023-12-14 00:07:26,965 - pyskl - INFO - Epoch [125][100/1281] lr: 1.797e-03, eta: 2:01:04, time: 0.411, data_time: 0.198, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0480, loss: 0.0480 2023-12-14 00:07:48,242 - pyskl - INFO - Epoch [125][200/1281] lr: 1.787e-03, eta: 2:00:42, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0479, loss: 0.0479 2023-12-14 00:08:09,529 - pyskl - INFO - Epoch [125][300/1281] lr: 1.776e-03, eta: 2:00:20, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0459, loss: 0.0459 2023-12-14 00:08:31,353 - pyskl - INFO - Epoch [125][400/1281] lr: 1.766e-03, eta: 1:59:58, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0445, loss: 0.0445 2023-12-14 00:08:53,199 - pyskl - INFO - Epoch [125][500/1281] lr: 1.755e-03, eta: 1:59:36, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0450, loss: 0.0450 2023-12-14 00:09:15,363 - pyskl - INFO - Epoch [125][600/1281] lr: 1.745e-03, eta: 1:59:14, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0455, loss: 0.0455 2023-12-14 00:09:37,032 - pyskl - INFO - Epoch [125][700/1281] lr: 1.735e-03, eta: 1:58:52, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0456, loss: 0.0456 2023-12-14 00:09:59,051 - pyskl - INFO - Epoch [125][800/1281] lr: 1.724e-03, eta: 1:58:30, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0413, loss: 0.0413 2023-12-14 00:10:20,642 - pyskl - INFO - Epoch [125][900/1281] lr: 1.714e-03, eta: 1:58:08, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0657, loss: 0.0657 2023-12-14 00:10:42,554 - pyskl - INFO - Epoch [125][1000/1281] lr: 1.704e-03, eta: 1:57:47, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0669, loss: 0.0669 2023-12-14 00:11:04,024 - pyskl - INFO - Epoch [125][1100/1281] lr: 1.693e-03, eta: 1:57:25, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0537, loss: 0.0537 2023-12-14 00:11:25,510 - pyskl - INFO - Epoch [125][1200/1281] lr: 1.683e-03, eta: 1:57:03, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0474, loss: 0.0474 2023-12-14 00:11:43,727 - pyskl - INFO - Saving checkpoint at 125 epochs 2023-12-14 00:12:30,021 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 00:12:30,083 - pyskl - INFO - top1_acc 0.9339 top5_acc 0.9955 2023-12-14 00:12:30,083 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 00:12:30,104 - pyskl - INFO - mean_acc 0.9055 2023-12-14 00:12:30,120 - pyskl - INFO - Epoch(val) [125][533] top1_acc: 0.9339, top5_acc: 0.9955, mean_class_accuracy: 0.9055 2023-12-14 00:13:13,255 - pyskl - INFO - Epoch [126][100/1281] lr: 1.665e-03, eta: 1:56:24, time: 0.431, data_time: 0.208, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0611, loss: 0.0611 2023-12-14 00:13:34,952 - pyskl - INFO - Epoch [126][200/1281] lr: 1.654e-03, eta: 1:56:02, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0607, loss: 0.0607 2023-12-14 00:13:56,848 - pyskl - INFO - Epoch [126][300/1281] lr: 1.644e-03, eta: 1:55:40, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0530, loss: 0.0530 2023-12-14 00:14:18,773 - pyskl - INFO - Epoch [126][400/1281] lr: 1.634e-03, eta: 1:55:18, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0435, loss: 0.0435 2023-12-14 00:14:40,329 - pyskl - INFO - Epoch [126][500/1281] lr: 1.624e-03, eta: 1:54:56, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0440, loss: 0.0440 2023-12-14 00:15:01,568 - pyskl - INFO - Epoch [126][600/1281] lr: 1.614e-03, eta: 1:54:34, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 2023-12-14 00:15:23,098 - pyskl - INFO - Epoch [126][700/1281] lr: 1.604e-03, eta: 1:54:12, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0526, loss: 0.0526 2023-12-14 00:15:44,575 - pyskl - INFO - Epoch [126][800/1281] lr: 1.594e-03, eta: 1:53:50, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0531, loss: 0.0531 2023-12-14 00:16:06,409 - pyskl - INFO - Epoch [126][900/1281] lr: 1.584e-03, eta: 1:53:28, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0466, loss: 0.0466 2023-12-14 00:16:28,312 - pyskl - INFO - Epoch [126][1000/1281] lr: 1.574e-03, eta: 1:53:07, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0431, loss: 0.0431 2023-12-14 00:16:50,435 - pyskl - INFO - Epoch [126][1100/1281] lr: 1.564e-03, eta: 1:52:45, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 2023-12-14 00:17:12,544 - pyskl - INFO - Epoch [126][1200/1281] lr: 1.554e-03, eta: 1:52:23, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-14 00:17:31,156 - pyskl - INFO - Saving checkpoint at 126 epochs 2023-12-14 00:18:18,067 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 00:18:18,171 - pyskl - INFO - top1_acc 0.9384 top5_acc 0.9966 2023-12-14 00:18:18,172 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 00:18:18,187 - pyskl - INFO - mean_acc 0.9180 2023-12-14 00:18:18,193 - pyskl - INFO - Epoch(val) [126][533] top1_acc: 0.9384, top5_acc: 0.9966, mean_class_accuracy: 0.9180 2023-12-14 00:18:58,783 - pyskl - INFO - Epoch [127][100/1281] lr: 1.536e-03, eta: 1:51:43, time: 0.406, data_time: 0.192, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0544, loss: 0.0544 2023-12-14 00:19:19,944 - pyskl - INFO - Epoch [127][200/1281] lr: 1.527e-03, eta: 1:51:21, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0477, loss: 0.0477 2023-12-14 00:19:41,890 - pyskl - INFO - Epoch [127][300/1281] lr: 1.517e-03, eta: 1:51:00, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0487, loss: 0.0487 2023-12-14 00:20:03,659 - pyskl - INFO - Epoch [127][400/1281] lr: 1.507e-03, eta: 1:50:38, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0482, loss: 0.0482 2023-12-14 00:20:25,563 - pyskl - INFO - Epoch [127][500/1281] lr: 1.497e-03, eta: 1:50:16, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0537, loss: 0.0537 2023-12-14 00:20:47,382 - pyskl - INFO - Epoch [127][600/1281] lr: 1.488e-03, eta: 1:49:54, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0535, loss: 0.0535 2023-12-14 00:21:09,147 - pyskl - INFO - Epoch [127][700/1281] lr: 1.478e-03, eta: 1:49:32, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 2023-12-14 00:21:31,070 - pyskl - INFO - Epoch [127][800/1281] lr: 1.468e-03, eta: 1:49:10, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0484, loss: 0.0484 2023-12-14 00:21:52,774 - pyskl - INFO - Epoch [127][900/1281] lr: 1.459e-03, eta: 1:48:48, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0445, loss: 0.0445 2023-12-14 00:22:14,591 - pyskl - INFO - Epoch [127][1000/1281] lr: 1.449e-03, eta: 1:48:26, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0454, loss: 0.0454 2023-12-14 00:22:35,989 - pyskl - INFO - Epoch [127][1100/1281] lr: 1.440e-03, eta: 1:48:04, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0473, loss: 0.0473 2023-12-14 00:22:57,142 - pyskl - INFO - Epoch [127][1200/1281] lr: 1.430e-03, eta: 1:47:42, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0420, loss: 0.0420 2023-12-14 00:23:15,519 - pyskl - INFO - Saving checkpoint at 127 epochs 2023-12-14 00:24:02,921 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 00:24:03,008 - pyskl - INFO - top1_acc 0.9387 top5_acc 0.9965 2023-12-14 00:24:03,009 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 00:24:03,018 - pyskl - INFO - mean_acc 0.9168 2023-12-14 00:24:03,022 - pyskl - INFO - Epoch(val) [127][533] top1_acc: 0.9387, top5_acc: 0.9965, mean_class_accuracy: 0.9168 2023-12-14 00:24:44,732 - pyskl - INFO - Epoch [128][100/1281] lr: 1.413e-03, eta: 1:47:03, time: 0.417, data_time: 0.197, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0427, loss: 0.0427 2023-12-14 00:25:06,677 - pyskl - INFO - Epoch [128][200/1281] lr: 1.404e-03, eta: 1:46:41, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0456, loss: 0.0456 2023-12-14 00:25:28,629 - pyskl - INFO - Epoch [128][300/1281] lr: 1.394e-03, eta: 1:46:19, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 2023-12-14 00:25:50,485 - pyskl - INFO - Epoch [128][400/1281] lr: 1.385e-03, eta: 1:45:58, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0489, loss: 0.0489 2023-12-14 00:26:11,730 - pyskl - INFO - Epoch [128][500/1281] lr: 1.376e-03, eta: 1:45:36, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 2023-12-14 00:26:33,010 - pyskl - INFO - Epoch [128][600/1281] lr: 1.366e-03, eta: 1:45:14, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0468, loss: 0.0468 2023-12-14 00:26:54,847 - pyskl - INFO - Epoch [128][700/1281] lr: 1.357e-03, eta: 1:44:52, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0487, loss: 0.0487 2023-12-14 00:27:16,543 - pyskl - INFO - Epoch [128][800/1281] lr: 1.348e-03, eta: 1:44:30, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0450, loss: 0.0450 2023-12-14 00:27:38,215 - pyskl - INFO - Epoch [128][900/1281] lr: 1.339e-03, eta: 1:44:08, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0478, loss: 0.0478 2023-12-14 00:27:59,666 - pyskl - INFO - Epoch [128][1000/1281] lr: 1.329e-03, eta: 1:43:46, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0437, loss: 0.0437 2023-12-14 00:28:21,372 - pyskl - INFO - Epoch [128][1100/1281] lr: 1.320e-03, eta: 1:43:24, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0421, loss: 0.0421 2023-12-14 00:28:42,882 - pyskl - INFO - Epoch [128][1200/1281] lr: 1.311e-03, eta: 1:43:02, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0488, loss: 0.0488 2023-12-14 00:29:01,452 - pyskl - INFO - Saving checkpoint at 128 epochs 2023-12-14 00:29:47,563 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 00:29:47,620 - pyskl - INFO - top1_acc 0.9414 top5_acc 0.9969 2023-12-14 00:29:47,620 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 00:29:47,625 - pyskl - INFO - mean_acc 0.9173 2023-12-14 00:29:47,630 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_124.pth was removed 2023-12-14 00:29:47,854 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. 2023-12-14 00:29:47,854 - pyskl - INFO - Best top1_acc is 0.9414 at 128 epoch. 2023-12-14 00:29:47,858 - pyskl - INFO - Epoch(val) [128][533] top1_acc: 0.9414, top5_acc: 0.9969, mean_class_accuracy: 0.9173 2023-12-14 00:30:28,567 - pyskl - INFO - Epoch [129][100/1281] lr: 1.295e-03, eta: 1:42:23, time: 0.407, data_time: 0.195, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 2023-12-14 00:30:50,032 - pyskl - INFO - Epoch [129][200/1281] lr: 1.286e-03, eta: 1:42:01, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 2023-12-14 00:31:11,929 - pyskl - INFO - Epoch [129][300/1281] lr: 1.277e-03, eta: 1:41:39, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0410, loss: 0.0410 2023-12-14 00:31:34,304 - pyskl - INFO - Epoch [129][400/1281] lr: 1.268e-03, eta: 1:41:17, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 2023-12-14 00:31:56,003 - pyskl - INFO - Epoch [129][500/1281] lr: 1.259e-03, eta: 1:40:55, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 2023-12-14 00:32:17,382 - pyskl - INFO - Epoch [129][600/1281] lr: 1.250e-03, eta: 1:40:33, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0445, loss: 0.0445 2023-12-14 00:32:39,400 - pyskl - INFO - Epoch [129][700/1281] lr: 1.241e-03, eta: 1:40:11, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 2023-12-14 00:33:01,361 - pyskl - INFO - Epoch [129][800/1281] lr: 1.232e-03, eta: 1:39:49, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0498, loss: 0.0498 2023-12-14 00:33:22,973 - pyskl - INFO - Epoch [129][900/1281] lr: 1.223e-03, eta: 1:39:28, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0437, loss: 0.0437 2023-12-14 00:33:44,104 - pyskl - INFO - Epoch [129][1000/1281] lr: 1.214e-03, eta: 1:39:06, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0460, loss: 0.0460 2023-12-14 00:34:05,401 - pyskl - INFO - Epoch [129][1100/1281] lr: 1.206e-03, eta: 1:38:44, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0370, loss: 0.0370 2023-12-14 00:34:27,077 - pyskl - INFO - Epoch [129][1200/1281] lr: 1.197e-03, eta: 1:38:22, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 2023-12-14 00:34:45,910 - pyskl - INFO - Saving checkpoint at 129 epochs 2023-12-14 00:35:32,386 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 00:35:32,449 - pyskl - INFO - top1_acc 0.9428 top5_acc 0.9973 2023-12-14 00:35:32,449 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 00:35:32,459 - pyskl - INFO - mean_acc 0.9173 2023-12-14 00:35:32,465 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_128.pth was removed 2023-12-14 00:35:32,700 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. 2023-12-14 00:35:32,700 - pyskl - INFO - Best top1_acc is 0.9428 at 129 epoch. 2023-12-14 00:35:32,704 - pyskl - INFO - Epoch(val) [129][533] top1_acc: 0.9428, top5_acc: 0.9973, mean_class_accuracy: 0.9173 2023-12-14 00:36:14,481 - pyskl - INFO - Epoch [130][100/1281] lr: 1.181e-03, eta: 1:37:42, time: 0.418, data_time: 0.200, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0433, loss: 0.0433 2023-12-14 00:36:36,257 - pyskl - INFO - Epoch [130][200/1281] lr: 1.172e-03, eta: 1:37:21, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0367, loss: 0.0367 2023-12-14 00:36:58,013 - pyskl - INFO - Epoch [130][300/1281] lr: 1.164e-03, eta: 1:36:59, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 2023-12-14 00:37:19,352 - pyskl - INFO - Epoch [130][400/1281] lr: 1.155e-03, eta: 1:36:37, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0392, loss: 0.0392 2023-12-14 00:37:40,591 - pyskl - INFO - Epoch [130][500/1281] lr: 1.147e-03, eta: 1:36:15, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 2023-12-14 00:38:01,832 - pyskl - INFO - Epoch [130][600/1281] lr: 1.138e-03, eta: 1:35:53, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-14 00:38:23,920 - pyskl - INFO - Epoch [130][700/1281] lr: 1.130e-03, eta: 1:35:31, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 2023-12-14 00:38:45,776 - pyskl - INFO - Epoch [130][800/1281] lr: 1.121e-03, eta: 1:35:09, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0363, loss: 0.0363 2023-12-14 00:39:07,590 - pyskl - INFO - Epoch [130][900/1281] lr: 1.113e-03, eta: 1:34:47, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0415, loss: 0.0415 2023-12-14 00:39:29,170 - pyskl - INFO - Epoch [130][1000/1281] lr: 1.104e-03, eta: 1:34:25, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0478, loss: 0.0478 2023-12-14 00:39:51,095 - pyskl - INFO - Epoch [130][1100/1281] lr: 1.096e-03, eta: 1:34:03, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0365, loss: 0.0365 2023-12-14 00:40:13,089 - pyskl - INFO - Epoch [130][1200/1281] lr: 1.088e-03, eta: 1:33:41, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 2023-12-14 00:40:31,565 - pyskl - INFO - Saving checkpoint at 130 epochs 2023-12-14 00:41:18,318 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 00:41:18,377 - pyskl - INFO - top1_acc 0.9436 top5_acc 0.9965 2023-12-14 00:41:18,378 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 00:41:18,386 - pyskl - INFO - mean_acc 0.9234 2023-12-14 00:41:18,390 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_129.pth was removed 2023-12-14 00:41:18,608 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. 2023-12-14 00:41:18,609 - pyskl - INFO - Best top1_acc is 0.9436 at 130 epoch. 2023-12-14 00:41:18,611 - pyskl - INFO - Epoch(val) [130][533] top1_acc: 0.9436, top5_acc: 0.9965, mean_class_accuracy: 0.9234 2023-12-14 00:41:58,562 - pyskl - INFO - Epoch [131][100/1281] lr: 1.072e-03, eta: 1:33:02, time: 0.399, data_time: 0.187, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0367, loss: 0.0367 2023-12-14 00:42:20,246 - pyskl - INFO - Epoch [131][200/1281] lr: 1.064e-03, eta: 1:32:40, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0368, loss: 0.0368 2023-12-14 00:42:41,933 - pyskl - INFO - Epoch [131][300/1281] lr: 1.056e-03, eta: 1:32:18, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-14 00:43:03,762 - pyskl - INFO - Epoch [131][400/1281] lr: 1.048e-03, eta: 1:31:56, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 2023-12-14 00:43:25,486 - pyskl - INFO - Epoch [131][500/1281] lr: 1.040e-03, eta: 1:31:34, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0365, loss: 0.0365 2023-12-14 00:43:47,166 - pyskl - INFO - Epoch [131][600/1281] lr: 1.031e-03, eta: 1:31:12, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 2023-12-14 00:44:08,908 - pyskl - INFO - Epoch [131][700/1281] lr: 1.023e-03, eta: 1:30:51, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 2023-12-14 00:44:30,782 - pyskl - INFO - Epoch [131][800/1281] lr: 1.015e-03, eta: 1:30:29, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0447, loss: 0.0447 2023-12-14 00:44:52,612 - pyskl - INFO - Epoch [131][900/1281] lr: 1.007e-03, eta: 1:30:07, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0374, loss: 0.0374 2023-12-14 00:45:14,032 - pyskl - INFO - Epoch [131][1000/1281] lr: 9.992e-04, eta: 1:29:45, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 2023-12-14 00:45:35,360 - pyskl - INFO - Epoch [131][1100/1281] lr: 9.912e-04, eta: 1:29:23, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 2023-12-14 00:45:57,052 - pyskl - INFO - Epoch [131][1200/1281] lr: 9.832e-04, eta: 1:29:01, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-14 00:46:15,772 - pyskl - INFO - Saving checkpoint at 131 epochs 2023-12-14 00:47:02,820 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 00:47:02,876 - pyskl - INFO - top1_acc 0.9447 top5_acc 0.9972 2023-12-14 00:47:02,876 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 00:47:02,889 - pyskl - INFO - mean_acc 0.9242 2023-12-14 00:47:02,894 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_130.pth was removed 2023-12-14 00:47:03,151 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. 2023-12-14 00:47:03,152 - pyskl - INFO - Best top1_acc is 0.9447 at 131 epoch. 2023-12-14 00:47:03,155 - pyskl - INFO - Epoch(val) [131][533] top1_acc: 0.9447, top5_acc: 0.9972, mean_class_accuracy: 0.9242 2023-12-14 00:47:45,597 - pyskl - INFO - Epoch [132][100/1281] lr: 9.689e-04, eta: 1:28:22, time: 0.424, data_time: 0.203, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0373, loss: 0.0373 2023-12-14 00:48:07,793 - pyskl - INFO - Epoch [132][200/1281] lr: 9.610e-04, eta: 1:28:00, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0370, loss: 0.0370 2023-12-14 00:48:29,716 - pyskl - INFO - Epoch [132][300/1281] lr: 9.532e-04, eta: 1:27:38, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0426, loss: 0.0426 2023-12-14 00:48:51,580 - pyskl - INFO - Epoch [132][400/1281] lr: 9.454e-04, eta: 1:27:16, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0442, loss: 0.0442 2023-12-14 00:49:13,278 - pyskl - INFO - Epoch [132][500/1281] lr: 9.376e-04, eta: 1:26:54, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 2023-12-14 00:49:34,634 - pyskl - INFO - Epoch [132][600/1281] lr: 9.298e-04, eta: 1:26:32, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 2023-12-14 00:49:55,875 - pyskl - INFO - Epoch [132][700/1281] lr: 9.221e-04, eta: 1:26:10, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-14 00:50:17,717 - pyskl - INFO - Epoch [132][800/1281] lr: 9.144e-04, eta: 1:25:49, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 2023-12-14 00:50:39,632 - pyskl - INFO - Epoch [132][900/1281] lr: 9.068e-04, eta: 1:25:27, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 2023-12-14 00:51:01,660 - pyskl - INFO - Epoch [132][1000/1281] lr: 8.991e-04, eta: 1:25:05, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 2023-12-14 00:51:23,375 - pyskl - INFO - Epoch [132][1100/1281] lr: 8.915e-04, eta: 1:24:43, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 2023-12-14 00:51:45,265 - pyskl - INFO - Epoch [132][1200/1281] lr: 8.840e-04, eta: 1:24:21, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 2023-12-14 00:52:03,743 - pyskl - INFO - Saving checkpoint at 132 epochs 2023-12-14 00:52:51,001 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 00:52:51,075 - pyskl - INFO - top1_acc 0.9437 top5_acc 0.9967 2023-12-14 00:52:51,075 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 00:52:51,084 - pyskl - INFO - mean_acc 0.9233 2023-12-14 00:52:51,088 - pyskl - INFO - Epoch(val) [132][533] top1_acc: 0.9437, top5_acc: 0.9967, mean_class_accuracy: 0.9233 2023-12-14 00:53:31,532 - pyskl - INFO - Epoch [133][100/1281] lr: 8.704e-04, eta: 1:23:42, time: 0.404, data_time: 0.189, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0431, loss: 0.0431 2023-12-14 00:53:52,859 - pyskl - INFO - Epoch [133][200/1281] lr: 8.629e-04, eta: 1:23:20, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 2023-12-14 00:54:14,512 - pyskl - INFO - Epoch [133][300/1281] lr: 8.554e-04, eta: 1:22:58, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0367, loss: 0.0367 2023-12-14 00:54:36,087 - pyskl - INFO - Epoch [133][400/1281] lr: 8.480e-04, eta: 1:22:36, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0375, loss: 0.0375 2023-12-14 00:54:57,956 - pyskl - INFO - Epoch [133][500/1281] lr: 8.406e-04, eta: 1:22:14, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0357, loss: 0.0357 2023-12-14 00:55:19,697 - pyskl - INFO - Epoch [133][600/1281] lr: 8.333e-04, eta: 1:21:52, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0366, loss: 0.0366 2023-12-14 00:55:41,455 - pyskl - INFO - Epoch [133][700/1281] lr: 8.260e-04, eta: 1:21:30, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 2023-12-14 00:56:03,216 - pyskl - INFO - Epoch [133][800/1281] lr: 8.187e-04, eta: 1:21:08, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 2023-12-14 00:56:24,817 - pyskl - INFO - Epoch [133][900/1281] lr: 8.114e-04, eta: 1:20:46, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 2023-12-14 00:56:46,116 - pyskl - INFO - Epoch [133][1000/1281] lr: 8.042e-04, eta: 1:20:24, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 2023-12-14 00:57:07,273 - pyskl - INFO - Epoch [133][1100/1281] lr: 7.970e-04, eta: 1:20:02, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 2023-12-14 00:57:28,756 - pyskl - INFO - Epoch [133][1200/1281] lr: 7.898e-04, eta: 1:19:41, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 2023-12-14 00:57:47,621 - pyskl - INFO - Saving checkpoint at 133 epochs 2023-12-14 00:58:34,754 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 00:58:34,820 - pyskl - INFO - top1_acc 0.9421 top5_acc 0.9964 2023-12-14 00:58:34,820 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 00:58:34,828 - pyskl - INFO - mean_acc 0.9188 2023-12-14 00:58:34,833 - pyskl - INFO - Epoch(val) [133][533] top1_acc: 0.9421, top5_acc: 0.9964, mean_class_accuracy: 0.9188 2023-12-14 00:59:17,258 - pyskl - INFO - Epoch [134][100/1281] lr: 7.769e-04, eta: 1:19:01, time: 0.424, data_time: 0.207, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 2023-12-14 00:59:39,041 - pyskl - INFO - Epoch [134][200/1281] lr: 7.699e-04, eta: 1:18:39, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 2023-12-14 01:00:00,933 - pyskl - INFO - Epoch [134][300/1281] lr: 7.628e-04, eta: 1:18:18, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 2023-12-14 01:00:22,308 - pyskl - INFO - Epoch [134][400/1281] lr: 7.558e-04, eta: 1:17:56, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 2023-12-14 01:00:43,682 - pyskl - INFO - Epoch [134][500/1281] lr: 7.488e-04, eta: 1:17:34, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 01:01:05,163 - pyskl - INFO - Epoch [134][600/1281] lr: 7.419e-04, eta: 1:17:12, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 2023-12-14 01:01:26,914 - pyskl - INFO - Epoch [134][700/1281] lr: 7.349e-04, eta: 1:16:50, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 2023-12-14 01:01:48,762 - pyskl - INFO - Epoch [134][800/1281] lr: 7.281e-04, eta: 1:16:28, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 2023-12-14 01:02:10,643 - pyskl - INFO - Epoch [134][900/1281] lr: 7.212e-04, eta: 1:16:06, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 2023-12-14 01:02:32,300 - pyskl - INFO - Epoch [134][1000/1281] lr: 7.144e-04, eta: 1:15:44, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 2023-12-14 01:02:54,244 - pyskl - INFO - Epoch [134][1100/1281] lr: 7.076e-04, eta: 1:15:22, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 2023-12-14 01:03:16,152 - pyskl - INFO - Epoch [134][1200/1281] lr: 7.008e-04, eta: 1:15:00, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 2023-12-14 01:03:34,594 - pyskl - INFO - Saving checkpoint at 134 epochs 2023-12-14 01:04:20,973 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 01:04:21,030 - pyskl - INFO - top1_acc 0.9457 top5_acc 0.9964 2023-12-14 01:04:21,031 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 01:04:21,040 - pyskl - INFO - mean_acc 0.9230 2023-12-14 01:04:21,044 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_131.pth was removed 2023-12-14 01:04:21,252 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. 2023-12-14 01:04:21,253 - pyskl - INFO - Best top1_acc is 0.9457 at 134 epoch. 2023-12-14 01:04:21,256 - pyskl - INFO - Epoch(val) [134][533] top1_acc: 0.9457, top5_acc: 0.9964, mean_class_accuracy: 0.9230 2023-12-14 01:05:01,194 - pyskl - INFO - Epoch [135][100/1281] lr: 6.887e-04, eta: 1:14:21, time: 0.399, data_time: 0.185, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 01:05:23,236 - pyskl - INFO - Epoch [135][200/1281] lr: 6.820e-04, eta: 1:13:59, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 2023-12-14 01:05:45,114 - pyskl - INFO - Epoch [135][300/1281] lr: 6.753e-04, eta: 1:13:37, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0364, loss: 0.0364 2023-12-14 01:06:07,313 - pyskl - INFO - Epoch [135][400/1281] lr: 6.687e-04, eta: 1:13:15, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 2023-12-14 01:06:29,224 - pyskl - INFO - Epoch [135][500/1281] lr: 6.622e-04, eta: 1:12:53, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 2023-12-14 01:06:51,043 - pyskl - INFO - Epoch [135][600/1281] lr: 6.556e-04, eta: 1:12:32, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 2023-12-14 01:07:13,127 - pyskl - INFO - Epoch [135][700/1281] lr: 6.491e-04, eta: 1:12:10, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 2023-12-14 01:07:34,930 - pyskl - INFO - Epoch [135][800/1281] lr: 6.426e-04, eta: 1:11:48, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 2023-12-14 01:07:56,403 - pyskl - INFO - Epoch [135][900/1281] lr: 6.362e-04, eta: 1:11:26, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 2023-12-14 01:08:17,467 - pyskl - INFO - Epoch [135][1000/1281] lr: 6.297e-04, eta: 1:11:04, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 2023-12-14 01:08:38,607 - pyskl - INFO - Epoch [135][1100/1281] lr: 6.233e-04, eta: 1:10:42, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 2023-12-14 01:09:00,462 - pyskl - INFO - Epoch [135][1200/1281] lr: 6.170e-04, eta: 1:10:20, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 2023-12-14 01:09:19,151 - pyskl - INFO - Saving checkpoint at 135 epochs 2023-12-14 01:10:05,727 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 01:10:05,791 - pyskl - INFO - top1_acc 0.9445 top5_acc 0.9968 2023-12-14 01:10:05,791 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 01:10:05,799 - pyskl - INFO - mean_acc 0.9225 2023-12-14 01:10:05,802 - pyskl - INFO - Epoch(val) [135][533] top1_acc: 0.9445, top5_acc: 0.9968, mean_class_accuracy: 0.9225 2023-12-14 01:10:47,980 - pyskl - INFO - Epoch [136][100/1281] lr: 6.056e-04, eta: 1:09:41, time: 0.422, data_time: 0.205, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-14 01:11:09,828 - pyskl - INFO - Epoch [136][200/1281] lr: 5.993e-04, eta: 1:09:19, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 2023-12-14 01:11:31,739 - pyskl - INFO - Epoch [136][300/1281] lr: 5.931e-04, eta: 1:08:57, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0369, loss: 0.0369 2023-12-14 01:11:53,144 - pyskl - INFO - Epoch [136][400/1281] lr: 5.868e-04, eta: 1:08:35, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 2023-12-14 01:12:14,455 - pyskl - INFO - Epoch [136][500/1281] lr: 5.807e-04, eta: 1:08:13, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 2023-12-14 01:12:36,122 - pyskl - INFO - Epoch [136][600/1281] lr: 5.745e-04, eta: 1:07:51, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 01:12:57,916 - pyskl - INFO - Epoch [136][700/1281] lr: 5.684e-04, eta: 1:07:29, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 2023-12-14 01:13:19,396 - pyskl - INFO - Epoch [136][800/1281] lr: 5.623e-04, eta: 1:07:08, time: 0.215, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0366, loss: 0.0366 2023-12-14 01:13:41,114 - pyskl - INFO - Epoch [136][900/1281] lr: 5.563e-04, eta: 1:06:46, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-14 01:14:03,048 - pyskl - INFO - Epoch [136][1000/1281] lr: 5.503e-04, eta: 1:06:24, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 2023-12-14 01:14:24,926 - pyskl - INFO - Epoch [136][1100/1281] lr: 5.443e-04, eta: 1:06:02, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0370, loss: 0.0370 2023-12-14 01:14:46,744 - pyskl - INFO - Epoch [136][1200/1281] lr: 5.384e-04, eta: 1:05:40, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0323, loss: 0.0323 2023-12-14 01:15:05,459 - pyskl - INFO - Saving checkpoint at 136 epochs 2023-12-14 01:15:49,637 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 01:15:49,720 - pyskl - INFO - top1_acc 0.9432 top5_acc 0.9967 2023-12-14 01:15:49,720 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 01:15:49,732 - pyskl - INFO - mean_acc 0.9205 2023-12-14 01:15:49,735 - pyskl - INFO - Epoch(val) [136][533] top1_acc: 0.9432, top5_acc: 0.9967, mean_class_accuracy: 0.9205 2023-12-14 01:16:31,246 - pyskl - INFO - Epoch [137][100/1281] lr: 5.277e-04, eta: 1:05:01, time: 0.415, data_time: 0.195, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 2023-12-14 01:16:53,487 - pyskl - INFO - Epoch [137][200/1281] lr: 5.218e-04, eta: 1:04:39, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 2023-12-14 01:17:15,158 - pyskl - INFO - Epoch [137][300/1281] lr: 5.160e-04, eta: 1:04:17, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 2023-12-14 01:17:37,035 - pyskl - INFO - Epoch [137][400/1281] lr: 5.102e-04, eta: 1:03:55, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 2023-12-14 01:17:59,284 - pyskl - INFO - Epoch [137][500/1281] lr: 5.044e-04, eta: 1:03:33, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 2023-12-14 01:18:21,171 - pyskl - INFO - Epoch [137][600/1281] lr: 4.987e-04, eta: 1:03:11, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-14 01:18:42,920 - pyskl - INFO - Epoch [137][700/1281] lr: 4.930e-04, eta: 1:02:49, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 01:19:04,823 - pyskl - INFO - Epoch [137][800/1281] lr: 4.873e-04, eta: 1:02:28, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 2023-12-14 01:19:25,974 - pyskl - INFO - Epoch [137][900/1281] lr: 4.817e-04, eta: 1:02:06, time: 0.211, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0367, loss: 0.0367 2023-12-14 01:19:47,132 - pyskl - INFO - Epoch [137][1000/1281] lr: 4.761e-04, eta: 1:01:44, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 2023-12-14 01:20:08,462 - pyskl - INFO - Epoch [137][1100/1281] lr: 4.705e-04, eta: 1:01:22, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0345, loss: 0.0345 2023-12-14 01:20:30,309 - pyskl - INFO - Epoch [137][1200/1281] lr: 4.650e-04, eta: 1:01:00, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 2023-12-14 01:20:49,037 - pyskl - INFO - Saving checkpoint at 137 epochs 2023-12-14 01:21:35,396 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 01:21:35,457 - pyskl - INFO - top1_acc 0.9454 top5_acc 0.9968 2023-12-14 01:21:35,457 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 01:21:35,465 - pyskl - INFO - mean_acc 0.9224 2023-12-14 01:21:35,467 - pyskl - INFO - Epoch(val) [137][533] top1_acc: 0.9454, top5_acc: 0.9968, mean_class_accuracy: 0.9224 2023-12-14 01:22:17,889 - pyskl - INFO - Epoch [138][100/1281] lr: 4.550e-04, eta: 1:00:21, time: 0.424, data_time: 0.208, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 2023-12-14 01:22:39,517 - pyskl - INFO - Epoch [138][200/1281] lr: 4.496e-04, eta: 0:59:59, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 2023-12-14 01:23:01,488 - pyskl - INFO - Epoch [138][300/1281] lr: 4.442e-04, eta: 0:59:37, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 2023-12-14 01:23:22,922 - pyskl - INFO - Epoch [138][400/1281] lr: 4.388e-04, eta: 0:59:15, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 2023-12-14 01:23:44,355 - pyskl - INFO - Epoch [138][500/1281] lr: 4.334e-04, eta: 0:58:53, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 2023-12-14 01:24:05,656 - pyskl - INFO - Epoch [138][600/1281] lr: 4.281e-04, eta: 0:58:31, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-14 01:24:27,469 - pyskl - INFO - Epoch [138][700/1281] lr: 4.228e-04, eta: 0:58:09, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0365, loss: 0.0365 2023-12-14 01:24:49,324 - pyskl - INFO - Epoch [138][800/1281] lr: 4.176e-04, eta: 0:57:47, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 2023-12-14 01:25:11,225 - pyskl - INFO - Epoch [138][900/1281] lr: 4.124e-04, eta: 0:57:25, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 01:25:33,076 - pyskl - INFO - Epoch [138][1000/1281] lr: 4.072e-04, eta: 0:57:04, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 2023-12-14 01:25:55,012 - pyskl - INFO - Epoch [138][1100/1281] lr: 4.020e-04, eta: 0:56:42, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 2023-12-14 01:26:16,791 - pyskl - INFO - Epoch [138][1200/1281] lr: 3.969e-04, eta: 0:56:20, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 2023-12-14 01:26:35,190 - pyskl - INFO - Saving checkpoint at 138 epochs 2023-12-14 01:27:22,098 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 01:27:22,159 - pyskl - INFO - top1_acc 0.9448 top5_acc 0.9967 2023-12-14 01:27:22,159 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 01:27:22,167 - pyskl - INFO - mean_acc 0.9235 2023-12-14 01:27:22,170 - pyskl - INFO - Epoch(val) [138][533] top1_acc: 0.9448, top5_acc: 0.9967, mean_class_accuracy: 0.9235 2023-12-14 01:28:02,651 - pyskl - INFO - Epoch [139][100/1281] lr: 3.877e-04, eta: 0:55:40, time: 0.405, data_time: 0.189, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0351, loss: 0.0351 2023-12-14 01:28:24,675 - pyskl - INFO - Epoch [139][200/1281] lr: 3.827e-04, eta: 0:55:18, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 2023-12-14 01:28:46,527 - pyskl - INFO - Epoch [139][300/1281] lr: 3.777e-04, eta: 0:54:57, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 2023-12-14 01:29:08,407 - pyskl - INFO - Epoch [139][400/1281] lr: 3.727e-04, eta: 0:54:35, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 2023-12-14 01:29:30,638 - pyskl - INFO - Epoch [139][500/1281] lr: 3.678e-04, eta: 0:54:13, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 2023-12-14 01:29:52,321 - pyskl - INFO - Epoch [139][600/1281] lr: 3.628e-04, eta: 0:53:51, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 2023-12-14 01:30:14,236 - pyskl - INFO - Epoch [139][700/1281] lr: 3.580e-04, eta: 0:53:29, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 2023-12-14 01:30:35,921 - pyskl - INFO - Epoch [139][800/1281] lr: 3.531e-04, eta: 0:53:07, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 2023-12-14 01:30:57,155 - pyskl - INFO - Epoch [139][900/1281] lr: 3.483e-04, eta: 0:52:45, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0345, loss: 0.0345 2023-12-14 01:31:18,402 - pyskl - INFO - Epoch [139][1000/1281] lr: 3.436e-04, eta: 0:52:23, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 2023-12-14 01:31:39,568 - pyskl - INFO - Epoch [139][1100/1281] lr: 3.388e-04, eta: 0:52:01, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0359, loss: 0.0359 2023-12-14 01:32:01,454 - pyskl - INFO - Epoch [139][1200/1281] lr: 3.341e-04, eta: 0:51:39, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 2023-12-14 01:32:20,496 - pyskl - INFO - Saving checkpoint at 139 epochs 2023-12-14 01:33:08,056 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 01:33:08,127 - pyskl - INFO - top1_acc 0.9436 top5_acc 0.9969 2023-12-14 01:33:08,127 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 01:33:08,138 - pyskl - INFO - mean_acc 0.9188 2023-12-14 01:33:08,147 - pyskl - INFO - Epoch(val) [139][533] top1_acc: 0.9436, top5_acc: 0.9969, mean_class_accuracy: 0.9188 2023-12-14 01:33:50,890 - pyskl - INFO - Epoch [140][100/1281] lr: 3.257e-04, eta: 0:51:00, time: 0.427, data_time: 0.207, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 2023-12-14 01:34:12,917 - pyskl - INFO - Epoch [140][200/1281] lr: 3.210e-04, eta: 0:50:38, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 2023-12-14 01:34:34,621 - pyskl - INFO - Epoch [140][300/1281] lr: 3.165e-04, eta: 0:50:16, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 2023-12-14 01:34:55,689 - pyskl - INFO - Epoch [140][400/1281] lr: 3.119e-04, eta: 0:49:54, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 2023-12-14 01:35:16,928 - pyskl - INFO - Epoch [140][500/1281] lr: 3.074e-04, eta: 0:49:33, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 2023-12-14 01:35:38,679 - pyskl - INFO - Epoch [140][600/1281] lr: 3.029e-04, eta: 0:49:11, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-14 01:36:00,519 - pyskl - INFO - Epoch [140][700/1281] lr: 2.984e-04, eta: 0:48:49, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0345, loss: 0.0345 2023-12-14 01:36:22,497 - pyskl - INFO - Epoch [140][800/1281] lr: 2.940e-04, eta: 0:48:27, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 2023-12-14 01:36:44,284 - pyskl - INFO - Epoch [140][900/1281] lr: 2.896e-04, eta: 0:48:05, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 2023-12-14 01:37:06,046 - pyskl - INFO - Epoch [140][1000/1281] lr: 2.853e-04, eta: 0:47:43, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-14 01:37:27,940 - pyskl - INFO - Epoch [140][1100/1281] lr: 2.809e-04, eta: 0:47:21, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0323, loss: 0.0323 2023-12-14 01:37:49,693 - pyskl - INFO - Epoch [140][1200/1281] lr: 2.767e-04, eta: 0:46:59, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 01:38:08,152 - pyskl - INFO - Saving checkpoint at 140 epochs 2023-12-14 01:38:53,430 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 01:38:53,510 - pyskl - INFO - top1_acc 0.9453 top5_acc 0.9965 2023-12-14 01:38:53,511 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 01:38:53,520 - pyskl - INFO - mean_acc 0.9220 2023-12-14 01:38:53,523 - pyskl - INFO - Epoch(val) [140][533] top1_acc: 0.9453, top5_acc: 0.9965, mean_class_accuracy: 0.9220 2023-12-14 01:39:36,172 - pyskl - INFO - Epoch [141][100/1281] lr: 2.690e-04, eta: 0:46:20, time: 0.426, data_time: 0.200, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 01:39:58,658 - pyskl - INFO - Epoch [141][200/1281] lr: 2.648e-04, eta: 0:45:58, time: 0.225, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 2023-12-14 01:40:21,092 - pyskl - INFO - Epoch [141][300/1281] lr: 2.606e-04, eta: 0:45:36, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-14 01:40:43,899 - pyskl - INFO - Epoch [141][400/1281] lr: 2.565e-04, eta: 0:45:15, time: 0.228, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 2023-12-14 01:41:06,374 - pyskl - INFO - Epoch [141][500/1281] lr: 2.524e-04, eta: 0:44:53, time: 0.225, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 2023-12-14 01:41:29,270 - pyskl - INFO - Epoch [141][600/1281] lr: 2.483e-04, eta: 0:44:31, time: 0.229, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-14 01:41:52,048 - pyskl - INFO - Epoch [141][700/1281] lr: 2.443e-04, eta: 0:44:09, time: 0.228, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 2023-12-14 01:42:13,095 - pyskl - INFO - Epoch [141][800/1281] lr: 2.402e-04, eta: 0:43:47, time: 0.210, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 2023-12-14 01:42:33,962 - pyskl - INFO - Epoch [141][900/1281] lr: 2.363e-04, eta: 0:43:25, time: 0.209, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-14 01:42:55,314 - pyskl - INFO - Epoch [141][1000/1281] lr: 2.323e-04, eta: 0:43:03, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 2023-12-14 01:43:17,966 - pyskl - INFO - Epoch [141][1100/1281] lr: 2.284e-04, eta: 0:42:41, time: 0.227, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 2023-12-14 01:43:40,131 - pyskl - INFO - Epoch [141][1200/1281] lr: 2.246e-04, eta: 0:42:20, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 01:43:59,235 - pyskl - INFO - Saving checkpoint at 141 epochs 2023-12-14 01:44:47,766 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 01:44:47,853 - pyskl - INFO - top1_acc 0.9454 top5_acc 0.9969 2023-12-14 01:44:47,854 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 01:44:47,867 - pyskl - INFO - mean_acc 0.9226 2023-12-14 01:44:47,871 - pyskl - INFO - Epoch(val) [141][533] top1_acc: 0.9454, top5_acc: 0.9969, mean_class_accuracy: 0.9226 2023-12-14 01:45:31,485 - pyskl - INFO - Epoch [142][100/1281] lr: 2.176e-04, eta: 0:41:40, time: 0.436, data_time: 0.207, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 2023-12-14 01:45:54,022 - pyskl - INFO - Epoch [142][200/1281] lr: 2.139e-04, eta: 0:41:18, time: 0.225, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-14 01:46:15,539 - pyskl - INFO - Epoch [142][300/1281] lr: 2.101e-04, eta: 0:40:56, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 2023-12-14 01:46:36,804 - pyskl - INFO - Epoch [142][400/1281] lr: 2.064e-04, eta: 0:40:35, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 2023-12-14 01:46:58,218 - pyskl - INFO - Epoch [142][500/1281] lr: 2.027e-04, eta: 0:40:13, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 2023-12-14 01:47:20,248 - pyskl - INFO - Epoch [142][600/1281] lr: 1.991e-04, eta: 0:39:51, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 2023-12-14 01:47:42,155 - pyskl - INFO - Epoch [142][700/1281] lr: 1.954e-04, eta: 0:39:29, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 2023-12-14 01:48:04,215 - pyskl - INFO - Epoch [142][800/1281] lr: 1.919e-04, eta: 0:39:07, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 2023-12-14 01:48:26,358 - pyskl - INFO - Epoch [142][900/1281] lr: 1.883e-04, eta: 0:38:45, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 2023-12-14 01:48:48,339 - pyskl - INFO - Epoch [142][1000/1281] lr: 1.848e-04, eta: 0:38:23, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 2023-12-14 01:49:10,175 - pyskl - INFO - Epoch [142][1100/1281] lr: 1.813e-04, eta: 0:38:01, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 2023-12-14 01:49:32,206 - pyskl - INFO - Epoch [142][1200/1281] lr: 1.779e-04, eta: 0:37:40, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 2023-12-14 01:49:50,477 - pyskl - INFO - Saving checkpoint at 142 epochs 2023-12-14 01:50:34,674 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 01:50:34,743 - pyskl - INFO - top1_acc 0.9472 top5_acc 0.9965 2023-12-14 01:50:34,743 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 01:50:34,758 - pyskl - INFO - mean_acc 0.9255 2023-12-14 01:50:34,764 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_134.pth was removed 2023-12-14 01:50:34,979 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. 2023-12-14 01:50:34,979 - pyskl - INFO - Best top1_acc is 0.9472 at 142 epoch. 2023-12-14 01:50:34,982 - pyskl - INFO - Epoch(val) [142][533] top1_acc: 0.9472, top5_acc: 0.9965, mean_class_accuracy: 0.9255 2023-12-14 01:51:17,542 - pyskl - INFO - Epoch [143][100/1281] lr: 1.717e-04, eta: 0:37:00, time: 0.426, data_time: 0.202, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 2023-12-14 01:51:39,844 - pyskl - INFO - Epoch [143][200/1281] lr: 1.683e-04, eta: 0:36:38, time: 0.223, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 2023-12-14 01:52:01,998 - pyskl - INFO - Epoch [143][300/1281] lr: 1.650e-04, eta: 0:36:16, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 2023-12-14 01:52:23,910 - pyskl - INFO - Epoch [143][400/1281] lr: 1.617e-04, eta: 0:35:54, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 2023-12-14 01:52:45,639 - pyskl - INFO - Epoch [143][500/1281] lr: 1.585e-04, eta: 0:35:33, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 01:53:07,548 - pyskl - INFO - Epoch [143][600/1281] lr: 1.552e-04, eta: 0:35:11, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 2023-12-14 01:53:29,108 - pyskl - INFO - Epoch [143][700/1281] lr: 1.520e-04, eta: 0:34:49, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0333, loss: 0.0333 2023-12-14 01:53:50,826 - pyskl - INFO - Epoch [143][800/1281] lr: 1.489e-04, eta: 0:34:27, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 2023-12-14 01:54:11,994 - pyskl - INFO - Epoch [143][900/1281] lr: 1.457e-04, eta: 0:34:05, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 2023-12-14 01:54:33,287 - pyskl - INFO - Epoch [143][1000/1281] lr: 1.426e-04, eta: 0:33:43, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 2023-12-14 01:54:55,263 - pyskl - INFO - Epoch [143][1100/1281] lr: 1.396e-04, eta: 0:33:21, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 2023-12-14 01:55:17,062 - pyskl - INFO - Epoch [143][1200/1281] lr: 1.366e-04, eta: 0:32:59, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 2023-12-14 01:55:35,464 - pyskl - INFO - Saving checkpoint at 143 epochs 2023-12-14 01:56:22,263 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 01:56:22,342 - pyskl - INFO - top1_acc 0.9450 top5_acc 0.9965 2023-12-14 01:56:22,343 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 01:56:22,352 - pyskl - INFO - mean_acc 0.9220 2023-12-14 01:56:22,355 - pyskl - INFO - Epoch(val) [143][533] top1_acc: 0.9450, top5_acc: 0.9965, mean_class_accuracy: 0.9220 2023-12-14 01:57:05,675 - pyskl - INFO - Epoch [144][100/1281] lr: 1.312e-04, eta: 0:32:20, time: 0.433, data_time: 0.206, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 01:57:27,496 - pyskl - INFO - Epoch [144][200/1281] lr: 1.282e-04, eta: 0:31:58, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 2023-12-14 01:57:48,718 - pyskl - INFO - Epoch [144][300/1281] lr: 1.253e-04, eta: 0:31:36, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 2023-12-14 01:58:09,937 - pyskl - INFO - Epoch [144][400/1281] lr: 1.224e-04, eta: 0:31:14, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 2023-12-14 01:58:31,846 - pyskl - INFO - Epoch [144][500/1281] lr: 1.196e-04, eta: 0:30:52, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 2023-12-14 01:58:53,937 - pyskl - INFO - Epoch [144][600/1281] lr: 1.168e-04, eta: 0:30:30, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 2023-12-14 01:59:15,823 - pyskl - INFO - Epoch [144][700/1281] lr: 1.140e-04, eta: 0:30:09, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 2023-12-14 01:59:37,448 - pyskl - INFO - Epoch [144][800/1281] lr: 1.113e-04, eta: 0:29:47, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 2023-12-14 01:59:59,674 - pyskl - INFO - Epoch [144][900/1281] lr: 1.086e-04, eta: 0:29:25, time: 0.222, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 2023-12-14 02:00:21,749 - pyskl - INFO - Epoch [144][1000/1281] lr: 1.059e-04, eta: 0:29:03, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 2023-12-14 02:00:43,652 - pyskl - INFO - Epoch [144][1100/1281] lr: 1.033e-04, eta: 0:28:41, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-14 02:01:05,578 - pyskl - INFO - Epoch [144][1200/1281] lr: 1.007e-04, eta: 0:28:19, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 2023-12-14 02:01:23,611 - pyskl - INFO - Saving checkpoint at 144 epochs 2023-12-14 02:02:08,180 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 02:02:08,235 - pyskl - INFO - top1_acc 0.9457 top5_acc 0.9967 2023-12-14 02:02:08,235 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 02:02:08,241 - pyskl - INFO - mean_acc 0.9234 2023-12-14 02:02:08,243 - pyskl - INFO - Epoch(val) [144][533] top1_acc: 0.9457, top5_acc: 0.9967, mean_class_accuracy: 0.9234 2023-12-14 02:02:50,707 - pyskl - INFO - Epoch [145][100/1281] lr: 9.605e-05, eta: 0:27:40, time: 0.425, data_time: 0.204, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 2023-12-14 02:03:12,492 - pyskl - INFO - Epoch [145][200/1281] lr: 9.353e-05, eta: 0:27:18, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 2023-12-14 02:03:34,071 - pyskl - INFO - Epoch [145][300/1281] lr: 9.106e-05, eta: 0:26:56, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 2023-12-14 02:03:56,017 - pyskl - INFO - Epoch [145][400/1281] lr: 8.861e-05, eta: 0:26:34, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 2023-12-14 02:04:17,868 - pyskl - INFO - Epoch [145][500/1281] lr: 8.620e-05, eta: 0:26:12, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-14 02:04:39,783 - pyskl - INFO - Epoch [145][600/1281] lr: 8.382e-05, eta: 0:25:50, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 2023-12-14 02:05:01,187 - pyskl - INFO - Epoch [145][700/1281] lr: 8.147e-05, eta: 0:25:28, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-14 02:05:22,478 - pyskl - INFO - Epoch [145][800/1281] lr: 7.916e-05, eta: 0:25:06, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-14 02:05:43,666 - pyskl - INFO - Epoch [145][900/1281] lr: 7.688e-05, eta: 0:24:45, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 2023-12-14 02:06:05,755 - pyskl - INFO - Epoch [145][1000/1281] lr: 7.463e-05, eta: 0:24:23, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 2023-12-14 02:06:27,715 - pyskl - INFO - Epoch [145][1100/1281] lr: 7.242e-05, eta: 0:24:01, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 2023-12-14 02:06:49,806 - pyskl - INFO - Epoch [145][1200/1281] lr: 7.024e-05, eta: 0:23:39, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0360, loss: 0.0360 2023-12-14 02:07:08,377 - pyskl - INFO - Saving checkpoint at 145 epochs 2023-12-14 02:07:54,907 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 02:07:55,007 - pyskl - INFO - top1_acc 0.9457 top5_acc 0.9964 2023-12-14 02:07:55,007 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 02:07:55,016 - pyskl - INFO - mean_acc 0.9240 2023-12-14 02:07:55,020 - pyskl - INFO - Epoch(val) [145][533] top1_acc: 0.9457, top5_acc: 0.9964, mean_class_accuracy: 0.9240 2023-12-14 02:08:37,051 - pyskl - INFO - Epoch [146][100/1281] lr: 6.638e-05, eta: 0:22:59, time: 0.420, data_time: 0.202, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 2023-12-14 02:08:58,351 - pyskl - INFO - Epoch [146][200/1281] lr: 6.429e-05, eta: 0:22:37, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 2023-12-14 02:09:19,598 - pyskl - INFO - Epoch [146][300/1281] lr: 6.224e-05, eta: 0:22:16, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0364, loss: 0.0364 2023-12-14 02:09:41,161 - pyskl - INFO - Epoch [146][400/1281] lr: 6.022e-05, eta: 0:21:54, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 2023-12-14 02:10:02,791 - pyskl - INFO - Epoch [146][500/1281] lr: 5.823e-05, eta: 0:21:32, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 2023-12-14 02:10:24,838 - pyskl - INFO - Epoch [146][600/1281] lr: 5.628e-05, eta: 0:21:10, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-14 02:10:46,598 - pyskl - INFO - Epoch [146][700/1281] lr: 5.436e-05, eta: 0:20:48, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0364, loss: 0.0364 2023-12-14 02:11:08,521 - pyskl - INFO - Epoch [146][800/1281] lr: 5.247e-05, eta: 0:20:26, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 2023-12-14 02:11:30,337 - pyskl - INFO - Epoch [146][900/1281] lr: 5.061e-05, eta: 0:20:04, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 2023-12-14 02:11:52,294 - pyskl - INFO - Epoch [146][1000/1281] lr: 4.879e-05, eta: 0:19:42, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 2023-12-14 02:12:13,974 - pyskl - INFO - Epoch [146][1100/1281] lr: 4.701e-05, eta: 0:19:20, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-14 02:12:35,388 - pyskl - INFO - Epoch [146][1200/1281] lr: 4.525e-05, eta: 0:18:59, time: 0.214, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 2023-12-14 02:12:53,479 - pyskl - INFO - Saving checkpoint at 146 epochs 2023-12-14 02:13:38,732 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 02:13:38,792 - pyskl - INFO - top1_acc 0.9464 top5_acc 0.9971 2023-12-14 02:13:38,792 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 02:13:38,800 - pyskl - INFO - mean_acc 0.9244 2023-12-14 02:13:38,806 - pyskl - INFO - Epoch(val) [146][533] top1_acc: 0.9464, top5_acc: 0.9971, mean_class_accuracy: 0.9244 2023-12-14 02:14:21,341 - pyskl - INFO - Epoch [147][100/1281] lr: 4.216e-05, eta: 0:18:19, time: 0.425, data_time: 0.205, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 2023-12-14 02:14:43,085 - pyskl - INFO - Epoch [147][200/1281] lr: 4.050e-05, eta: 0:17:57, time: 0.217, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0323, loss: 0.0323 2023-12-14 02:15:04,888 - pyskl - INFO - Epoch [147][300/1281] lr: 3.887e-05, eta: 0:17:35, time: 0.218, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 2023-12-14 02:15:26,405 - pyskl - INFO - Epoch [147][400/1281] lr: 3.728e-05, eta: 0:17:13, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 2023-12-14 02:15:48,316 - pyskl - INFO - Epoch [147][500/1281] lr: 3.572e-05, eta: 0:16:51, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-14 02:16:09,583 - pyskl - INFO - Epoch [147][600/1281] lr: 3.419e-05, eta: 0:16:30, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-14 02:16:30,918 - pyskl - INFO - Epoch [147][700/1281] lr: 3.270e-05, eta: 0:16:08, time: 0.213, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 2023-12-14 02:16:52,251 - pyskl - INFO - Epoch [147][800/1281] lr: 3.124e-05, eta: 0:15:46, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 2023-12-14 02:17:14,125 - pyskl - INFO - Epoch [147][900/1281] lr: 2.981e-05, eta: 0:15:24, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 2023-12-14 02:17:36,167 - pyskl - INFO - Epoch [147][1000/1281] lr: 2.842e-05, eta: 0:15:02, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-14 02:17:58,176 - pyskl - INFO - Epoch [147][1100/1281] lr: 2.706e-05, eta: 0:14:40, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 2023-12-14 02:18:20,184 - pyskl - INFO - Epoch [147][1200/1281] lr: 2.573e-05, eta: 0:14:18, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0323, loss: 0.0323 2023-12-14 02:18:38,842 - pyskl - INFO - Saving checkpoint at 147 epochs 2023-12-14 02:19:25,856 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 02:19:25,931 - pyskl - INFO - top1_acc 0.9479 top5_acc 0.9973 2023-12-14 02:19:25,931 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 02:19:25,942 - pyskl - INFO - mean_acc 0.9273 2023-12-14 02:19:25,948 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_142.pth was removed 2023-12-14 02:19:26,258 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_147.pth. 2023-12-14 02:19:26,259 - pyskl - INFO - Best top1_acc is 0.9479 at 147 epoch. 2023-12-14 02:19:26,263 - pyskl - INFO - Epoch(val) [147][533] top1_acc: 0.9479, top5_acc: 0.9973, mean_class_accuracy: 0.9273 2023-12-14 02:20:07,013 - pyskl - INFO - Epoch [148][100/1281] lr: 2.341e-05, eta: 0:13:39, time: 0.407, data_time: 0.194, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 2023-12-14 02:20:28,623 - pyskl - INFO - Epoch [148][200/1281] lr: 2.218e-05, eta: 0:13:17, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 2023-12-14 02:20:50,200 - pyskl - INFO - Epoch [148][300/1281] lr: 2.098e-05, eta: 0:12:55, time: 0.216, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 2023-12-14 02:21:12,107 - pyskl - INFO - Epoch [148][400/1281] lr: 1.981e-05, eta: 0:12:33, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 2023-12-14 02:21:34,058 - pyskl - INFO - Epoch [148][500/1281] lr: 1.868e-05, eta: 0:12:11, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0333, loss: 0.0333 2023-12-14 02:21:56,085 - pyskl - INFO - Epoch [148][600/1281] lr: 1.758e-05, eta: 0:11:49, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 2023-12-14 02:22:18,132 - pyskl - INFO - Epoch [148][700/1281] lr: 1.651e-05, eta: 0:11:27, time: 0.220, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 2023-12-14 02:22:40,040 - pyskl - INFO - Epoch [148][800/1281] lr: 1.548e-05, eta: 0:11:05, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 2023-12-14 02:23:01,866 - pyskl - INFO - Epoch [148][900/1281] lr: 1.448e-05, eta: 0:10:44, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 2023-12-14 02:23:23,711 - pyskl - INFO - Epoch [148][1000/1281] lr: 1.351e-05, eta: 0:10:22, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 2023-12-14 02:23:45,089 - pyskl - INFO - Epoch [148][1100/1281] lr: 1.258e-05, eta: 0:10:00, time: 0.214, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 2023-12-14 02:24:06,286 - pyskl - INFO - Epoch [148][1200/1281] lr: 1.168e-05, eta: 0:09:38, time: 0.212, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 2023-12-14 02:24:24,618 - pyskl - INFO - Saving checkpoint at 148 epochs 2023-12-14 02:25:11,737 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 02:25:11,812 - pyskl - INFO - top1_acc 0.9468 top5_acc 0.9967 2023-12-14 02:25:11,813 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 02:25:11,822 - pyskl - INFO - mean_acc 0.9252 2023-12-14 02:25:11,826 - pyskl - INFO - Epoch(val) [148][533] top1_acc: 0.9468, top5_acc: 0.9967, mean_class_accuracy: 0.9252 2023-12-14 02:25:53,890 - pyskl - INFO - Epoch [149][100/1281] lr: 1.013e-05, eta: 0:08:58, time: 0.421, data_time: 0.201, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-14 02:26:15,819 - pyskl - INFO - Epoch [149][200/1281] lr: 9.328e-06, eta: 0:08:36, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 2023-12-14 02:26:38,014 - pyskl - INFO - Epoch [149][300/1281] lr: 8.555e-06, eta: 0:08:15, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 2023-12-14 02:26:59,796 - pyskl - INFO - Epoch [149][400/1281] lr: 7.816e-06, eta: 0:07:53, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 2023-12-14 02:27:21,460 - pyskl - INFO - Epoch [149][500/1281] lr: 7.110e-06, eta: 0:07:31, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0360, loss: 0.0360 2023-12-14 02:27:42,674 - pyskl - INFO - Epoch [149][600/1281] lr: 6.437e-06, eta: 0:07:09, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 2023-12-14 02:28:03,986 - pyskl - INFO - Epoch [149][700/1281] lr: 5.798e-06, eta: 0:06:47, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 2023-12-14 02:28:25,921 - pyskl - INFO - Epoch [149][800/1281] lr: 5.192e-06, eta: 0:06:25, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0318, loss: 0.0318 2023-12-14 02:28:47,689 - pyskl - INFO - Epoch [149][900/1281] lr: 4.620e-06, eta: 0:06:03, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 2023-12-14 02:29:09,573 - pyskl - INFO - Epoch [149][1000/1281] lr: 4.081e-06, eta: 0:05:41, time: 0.219, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 2023-12-14 02:29:31,291 - pyskl - INFO - Epoch [149][1100/1281] lr: 3.576e-06, eta: 0:05:19, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 2023-12-14 02:29:53,255 - pyskl - INFO - Epoch [149][1200/1281] lr: 3.104e-06, eta: 0:04:58, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 2023-12-14 02:30:11,894 - pyskl - INFO - Saving checkpoint at 149 epochs 2023-12-14 02:30:57,954 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 02:30:58,011 - pyskl - INFO - top1_acc 0.9448 top5_acc 0.9961 2023-12-14 02:30:58,011 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 02:30:58,019 - pyskl - INFO - mean_acc 0.9222 2023-12-14 02:30:58,022 - pyskl - INFO - Epoch(val) [149][533] top1_acc: 0.9448, top5_acc: 0.9961, mean_class_accuracy: 0.9222 2023-12-14 02:31:38,324 - pyskl - INFO - Epoch [150][100/1281] lr: 2.334e-06, eta: 0:04:18, time: 0.403, data_time: 0.188, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 2023-12-14 02:32:00,392 - pyskl - INFO - Epoch [150][200/1281] lr: 1.956e-06, eta: 0:03:56, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0357, loss: 0.0357 2023-12-14 02:32:22,556 - pyskl - INFO - Epoch [150][300/1281] lr: 1.611e-06, eta: 0:03:34, time: 0.222, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-14 02:32:44,426 - pyskl - INFO - Epoch [150][400/1281] lr: 1.300e-06, eta: 0:03:12, time: 0.219, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 02:33:06,048 - pyskl - INFO - Epoch [150][500/1281] lr: 1.022e-06, eta: 0:02:50, time: 0.216, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 2023-12-14 02:33:28,006 - pyskl - INFO - Epoch [150][600/1281] lr: 7.771e-07, eta: 0:02:29, time: 0.220, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 2023-12-14 02:33:49,848 - pyskl - INFO - Epoch [150][700/1281] lr: 5.659e-07, eta: 0:02:07, time: 0.218, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 2023-12-14 02:34:11,546 - pyskl - INFO - Epoch [150][800/1281] lr: 3.881e-07, eta: 0:01:45, time: 0.217, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 2023-12-14 02:34:33,645 - pyskl - INFO - Epoch [150][900/1281] lr: 2.438e-07, eta: 0:01:23, time: 0.221, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0323, loss: 0.0323 2023-12-14 02:34:55,154 - pyskl - INFO - Epoch [150][1000/1281] lr: 1.329e-07, eta: 0:01:01, time: 0.215, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0333, loss: 0.0333 2023-12-14 02:35:16,229 - pyskl - INFO - Epoch [150][1100/1281] lr: 5.534e-08, eta: 0:00:39, time: 0.211, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 2023-12-14 02:35:37,504 - pyskl - INFO - Epoch [150][1200/1281] lr: 1.123e-08, eta: 0:00:17, time: 0.213, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 2023-12-14 02:35:56,118 - pyskl - INFO - Saving checkpoint at 150 epochs 2023-12-14 02:36:42,059 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-14 02:36:42,120 - pyskl - INFO - top1_acc 0.9463 top5_acc 0.9967 2023-12-14 02:36:42,120 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-14 02:36:42,127 - pyskl - INFO - mean_acc 0.9232 2023-12-14 02:36:42,129 - pyskl - INFO - Epoch(val) [150][533] top1_acc: 0.9463, top5_acc: 0.9967, mean_class_accuracy: 0.9232 2023-12-14 02:36:47,195 - pyskl - INFO - 8521 videos remain after valid thresholding 2023-12-14 02:42:53,267 - pyskl - INFO - Testing results of the last checkpoint 2023-12-14 02:42:53,267 - pyskl - INFO - top1_acc: 0.9459 2023-12-14 02:42:53,267 - pyskl - INFO - top5_acc: 0.9969 2023-12-14 02:42:53,267 - pyskl - INFO - mean_class_accuracy: 0.9246 2023-12-14 02:42:53,268 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/finegym/b_2/best_top1_acc_epoch_147.pth 2023-12-14 02:49:05,860 - pyskl - INFO - Testing results of the best checkpoint 2023-12-14 02:49:05,860 - pyskl - INFO - top1_acc: 0.9484 2023-12-14 02:49:05,860 - pyskl - INFO - top5_acc: 0.9975 2023-12-14 02:49:05,860 - pyskl - INFO - mean_class_accuracy: 0.9284