2023-12-23 05:08:10,684 - 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+ ------------------------------------------------------------ 2023-12-23 05:08:11,032 - pyskl - INFO - Config: modality = 'bm' graph = 'coco_new' work_dir = './work_dirs/test_prototype/finegym/bm' 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_13', 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=['bm']), 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=['bm']), 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=['bm']), 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=['bm']), 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=['bm']), 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=['bm']), 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) 2023-12-23 05:08:11,033 - pyskl - INFO - Set random seed to 1872625052, deterministic: False 2023-12-23 05:08:12,552 - pyskl - INFO - 20484 videos remain after valid thresholding 2023-12-23 05:08:17,849 - pyskl - INFO - 8521 videos remain after valid thresholding 2023-12-23 05:08:17,850 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm 2023-12-23 05:08:17,850 - pyskl - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) DistSamplerSeedHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2023-12-23 05:08:17,851 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2023-12-23 05:08:17,851 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm by HardDiskBackend. 2023-12-23 05:09:06,175 - pyskl - INFO - Epoch [1][100/1281] lr: 2.500e-02, eta: 1 day, 1:46:34, time: 0.483, data_time: 0.174, memory: 4120, top1_acc: 0.0544, top5_acc: 0.2075, loss_cls: 7.1031, loss: 7.1031 2023-12-23 05:09:47,909 - pyskl - INFO - Epoch [1][200/1281] lr: 2.500e-02, eta: 1 day, 0:00:26, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.0725, top5_acc: 0.2812, loss_cls: 7.0192, loss: 7.0192 2023-12-23 05:10:30,297 - pyskl - INFO - Epoch [1][300/1281] lr: 2.500e-02, eta: 23:31:34, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.0931, top5_acc: 0.3513, loss_cls: 7.4073, loss: 7.4073 2023-12-23 05:11:14,146 - pyskl - INFO - Epoch [1][400/1281] lr: 2.500e-02, eta: 23:28:25, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.1013, top5_acc: 0.3756, loss_cls: 7.6970, loss: 7.6970 2023-12-23 05:11:56,848 - pyskl - INFO - Epoch [1][500/1281] lr: 2.500e-02, eta: 23:18:57, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.1425, top5_acc: 0.4456, loss_cls: 7.1880, loss: 7.1880 2023-12-23 05:12:39,478 - pyskl - INFO - Epoch [1][600/1281] lr: 2.500e-02, eta: 23:12:00, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.1794, top5_acc: 0.4881, loss_cls: 6.8466, loss: 6.8466 2023-12-23 05:13:21,186 - pyskl - INFO - Epoch [1][700/1281] lr: 2.500e-02, eta: 23:02:38, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.1981, top5_acc: 0.5169, loss_cls: 6.8235, loss: 6.8235 2023-12-23 05:14:02,772 - pyskl - INFO - Epoch [1][800/1281] lr: 2.500e-02, eta: 22:54:57, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.2381, top5_acc: 0.5813, loss_cls: 6.2921, loss: 6.2921 2023-12-23 05:14:44,579 - pyskl - INFO - Epoch [1][900/1281] lr: 2.500e-02, eta: 22:49:36, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.2406, top5_acc: 0.6144, loss_cls: 6.1600, loss: 6.1600 2023-12-23 05:15:26,234 - pyskl - INFO - Epoch [1][1000/1281] lr: 2.500e-02, eta: 22:44:41, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.2750, top5_acc: 0.6575, loss_cls: 5.9666, loss: 5.9666 2023-12-23 05:16:08,607 - pyskl - INFO - Epoch [1][1100/1281] lr: 2.500e-02, eta: 22:42:38, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.2956, top5_acc: 0.6606, loss_cls: 5.7761, loss: 5.7761 2023-12-23 05:16:51,331 - pyskl - INFO - Epoch [1][1200/1281] lr: 2.500e-02, eta: 22:41:44, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.3225, top5_acc: 0.6913, loss_cls: 5.6140, loss: 5.6140 2023-12-23 05:17:27,836 - pyskl - INFO - Saving checkpoint at 1 epochs 2023-12-23 05:18:33,133 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 05:18:33,194 - pyskl - INFO - top1_acc 0.3069 top5_acc 0.6921 2023-12-23 05:18:33,194 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 05:18:33,204 - pyskl - INFO - mean_acc 0.1446 2023-12-23 05:18:33,478 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2023-12-23 05:18:33,478 - pyskl - INFO - Best top1_acc is 0.3069 at 1 epoch. 2023-12-23 05:18:33,481 - pyskl - INFO - Epoch(val) [1][533] top1_acc: 0.3069, top5_acc: 0.6921, mean_class_accuracy: 0.1446 2023-12-23 05:19:22,686 - pyskl - INFO - Epoch [2][100/1281] lr: 2.500e-02, eta: 21:35:24, time: 0.492, data_time: 0.181, memory: 4120, top1_acc: 0.3300, top5_acc: 0.7269, loss_cls: 5.4550, loss: 5.4550 2023-12-23 05:20:04,430 - pyskl - INFO - Epoch [2][200/1281] lr: 2.500e-02, eta: 21:36:52, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.3488, top5_acc: 0.7519, loss_cls: 5.3895, loss: 5.3895 2023-12-23 05:20:46,146 - pyskl - INFO - Epoch [2][300/1281] lr: 2.500e-02, eta: 21:38:00, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.3563, top5_acc: 0.7469, loss_cls: 5.3400, loss: 5.3400 2023-12-23 05:21:27,902 - pyskl - INFO - Epoch [2][400/1281] lr: 2.500e-02, eta: 21:39:00, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.3862, top5_acc: 0.7812, loss_cls: 5.1177, loss: 5.1177 2023-12-23 05:22:09,476 - pyskl - INFO - Epoch [2][500/1281] lr: 2.499e-02, eta: 21:39:29, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.3881, top5_acc: 0.7894, loss_cls: 5.0897, loss: 5.0897 2023-12-23 05:22:51,287 - pyskl - INFO - Epoch [2][600/1281] lr: 2.499e-02, eta: 21:40:14, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.4056, top5_acc: 0.7956, loss_cls: 4.9860, loss: 4.9860 2023-12-23 05:23:33,306 - pyskl - INFO - Epoch [2][700/1281] lr: 2.499e-02, eta: 21:41:11, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.4175, top5_acc: 0.8219, loss_cls: 4.8125, loss: 4.8125 2023-12-23 05:24:15,699 - pyskl - INFO - Epoch [2][800/1281] lr: 2.499e-02, eta: 21:42:32, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.4387, top5_acc: 0.8125, loss_cls: 4.8167, loss: 4.8167 2023-12-23 05:24:59,356 - pyskl - INFO - Epoch [2][900/1281] lr: 2.499e-02, eta: 21:45:32, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.4238, top5_acc: 0.8225, loss_cls: 4.8308, loss: 4.8308 2023-12-23 05:25:41,999 - pyskl - INFO - Epoch [2][1000/1281] lr: 2.499e-02, eta: 21:46:48, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.4244, top5_acc: 0.8394, loss_cls: 4.7294, loss: 4.7294 2023-12-23 05:26:24,703 - pyskl - INFO - Epoch [2][1100/1281] lr: 2.499e-02, eta: 21:47:58, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.4600, top5_acc: 0.8506, loss_cls: 4.6564, loss: 4.6564 2023-12-23 05:27:07,327 - pyskl - INFO - Epoch [2][1200/1281] lr: 2.499e-02, eta: 21:48:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.4531, top5_acc: 0.8394, loss_cls: 4.6457, loss: 4.6457 2023-12-23 05:27:42,436 - pyskl - INFO - Saving checkpoint at 2 epochs 2023-12-23 05:28:44,274 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 05:28:44,329 - pyskl - INFO - top1_acc 0.4124 top5_acc 0.8074 2023-12-23 05:28:44,330 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 05:28:44,336 - pyskl - INFO - mean_acc 0.2302 2023-12-23 05:28:44,340 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_1.pth was removed 2023-12-23 05:28:44,582 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2023-12-23 05:28:44,582 - pyskl - INFO - Best top1_acc is 0.4124 at 2 epoch. 2023-12-23 05:28:44,586 - pyskl - INFO - Epoch(val) [2][533] top1_acc: 0.4124, top5_acc: 0.8074, mean_class_accuracy: 0.2302 2023-12-23 05:29:33,209 - pyskl - INFO - Epoch [3][100/1281] lr: 2.499e-02, eta: 21:16:25, time: 0.486, data_time: 0.175, memory: 4120, top1_acc: 0.4800, top5_acc: 0.8656, loss_cls: 4.4819, loss: 4.4819 2023-12-23 05:30:16,607 - pyskl - INFO - Epoch [3][200/1281] lr: 2.499e-02, eta: 21:19:09, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.4988, top5_acc: 0.8794, loss_cls: 4.4136, loss: 4.4136 2023-12-23 05:31:00,550 - pyskl - INFO - Epoch [3][300/1281] lr: 2.499e-02, eta: 21:22:14, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.4925, top5_acc: 0.8888, loss_cls: 4.3623, loss: 4.3623 2023-12-23 05:31:43,364 - pyskl - INFO - Epoch [3][400/1281] lr: 2.499e-02, eta: 21:23:52, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.4969, top5_acc: 0.8856, loss_cls: 4.3474, loss: 4.3474 2023-12-23 05:32:26,017 - pyskl - INFO - Epoch [3][500/1281] lr: 2.498e-02, eta: 21:25:11, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.5100, top5_acc: 0.8900, loss_cls: 4.3650, loss: 4.3650 2023-12-23 05:33:08,660 - pyskl - INFO - Epoch [3][600/1281] lr: 2.498e-02, eta: 21:26:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.5112, top5_acc: 0.8981, loss_cls: 4.2476, loss: 4.2476 2023-12-23 05:33:51,022 - pyskl - INFO - Epoch [3][700/1281] lr: 2.498e-02, eta: 21:27:09, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.5250, top5_acc: 0.8925, loss_cls: 4.2403, loss: 4.2403 2023-12-23 05:34:32,685 - pyskl - INFO - Epoch [3][800/1281] lr: 2.498e-02, eta: 21:27:11, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.5425, top5_acc: 0.8981, loss_cls: 4.2005, loss: 4.2005 2023-12-23 05:35:14,415 - pyskl - INFO - Epoch [3][900/1281] lr: 2.498e-02, eta: 21:27:15, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.5431, top5_acc: 0.9119, loss_cls: 4.1219, loss: 4.1219 2023-12-23 05:35:56,197 - pyskl - INFO - Epoch [3][1000/1281] lr: 2.498e-02, eta: 21:27:19, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.5487, top5_acc: 0.9156, loss_cls: 4.0792, loss: 4.0792 2023-12-23 05:36:38,023 - pyskl - INFO - Epoch [3][1100/1281] lr: 2.498e-02, eta: 21:27:23, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.5525, top5_acc: 0.9181, loss_cls: 4.1128, loss: 4.1128 2023-12-23 05:37:20,290 - pyskl - INFO - Epoch [3][1200/1281] lr: 2.498e-02, eta: 21:27:46, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.5337, top5_acc: 0.9081, loss_cls: 4.2003, loss: 4.2003 2023-12-23 05:37:55,032 - pyskl - INFO - Saving checkpoint at 3 epochs 2023-12-23 05:38:56,887 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 05:38:56,948 - pyskl - INFO - top1_acc 0.5543 top5_acc 0.9098 2023-12-23 05:38:56,948 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 05:38:56,955 - pyskl - INFO - mean_acc 0.3757 2023-12-23 05:38:56,959 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_2.pth was removed 2023-12-23 05:38:57,187 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2023-12-23 05:38:57,187 - pyskl - INFO - Best top1_acc is 0.5543 at 3 epoch. 2023-12-23 05:38:57,193 - pyskl - INFO - Epoch(val) [3][533] top1_acc: 0.5543, top5_acc: 0.9098, mean_class_accuracy: 0.3757 2023-12-23 05:39:44,228 - pyskl - INFO - Epoch [4][100/1281] lr: 2.497e-02, eta: 21:04:53, time: 0.470, data_time: 0.170, memory: 4120, top1_acc: 0.5669, top5_acc: 0.9275, loss_cls: 4.0038, loss: 4.0038 2023-12-23 05:40:26,817 - pyskl - INFO - Epoch [4][200/1281] lr: 2.497e-02, eta: 21:05:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6038, top5_acc: 0.9419, loss_cls: 3.9114, loss: 3.9114 2023-12-23 05:41:09,406 - pyskl - INFO - Epoch [4][300/1281] lr: 2.497e-02, eta: 21:06:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.5787, top5_acc: 0.9294, loss_cls: 4.0163, loss: 4.0163 2023-12-23 05:41:52,030 - pyskl - INFO - Epoch [4][400/1281] lr: 2.497e-02, eta: 21:07:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.5763, top5_acc: 0.9413, loss_cls: 3.9031, loss: 3.9031 2023-12-23 05:42:34,696 - pyskl - INFO - Epoch [4][500/1281] lr: 2.497e-02, eta: 21:08:48, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.5819, top5_acc: 0.9375, loss_cls: 3.9812, loss: 3.9812 2023-12-23 05:43:17,700 - pyskl - INFO - Epoch [4][600/1281] lr: 2.497e-02, eta: 21:09:52, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.5856, top5_acc: 0.9437, loss_cls: 3.9640, loss: 3.9640 2023-12-23 05:44:01,708 - pyskl - INFO - Epoch [4][700/1281] lr: 2.497e-02, eta: 21:11:32, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.6125, top5_acc: 0.9319, loss_cls: 3.8297, loss: 3.8297 2023-12-23 05:44:45,180 - pyskl - INFO - Epoch [4][800/1281] lr: 2.496e-02, eta: 21:12:45, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.5844, top5_acc: 0.9400, loss_cls: 3.9065, loss: 3.9065 2023-12-23 05:45:27,819 - pyskl - INFO - Epoch [4][900/1281] lr: 2.496e-02, eta: 21:13:20, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6175, top5_acc: 0.9413, loss_cls: 3.8608, loss: 3.8608 2023-12-23 05:46:10,499 - pyskl - INFO - Epoch [4][1000/1281] lr: 2.496e-02, eta: 21:13:53, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.6088, top5_acc: 0.9487, loss_cls: 3.8267, loss: 3.8267 2023-12-23 05:46:53,083 - pyskl - INFO - Epoch [4][1100/1281] lr: 2.496e-02, eta: 21:14:19, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6269, top5_acc: 0.9406, loss_cls: 3.8205, loss: 3.8205 2023-12-23 05:47:35,437 - pyskl - INFO - Epoch [4][1200/1281] lr: 2.496e-02, eta: 21:14:35, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.6031, top5_acc: 0.9487, loss_cls: 3.7996, loss: 3.7996 2023-12-23 05:48:09,780 - pyskl - INFO - Saving checkpoint at 4 epochs 2023-12-23 05:49:09,644 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 05:49:09,724 - pyskl - INFO - top1_acc 0.6035 top5_acc 0.9400 2023-12-23 05:49:09,724 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 05:49:09,735 - pyskl - INFO - mean_acc 0.4493 2023-12-23 05:49:09,741 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_3.pth was removed 2023-12-23 05:49:09,962 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2023-12-23 05:49:09,962 - pyskl - INFO - Best top1_acc is 0.6035 at 4 epoch. 2023-12-23 05:49:09,965 - pyskl - INFO - Epoch(val) [4][533] top1_acc: 0.6035, top5_acc: 0.9400, mean_class_accuracy: 0.4493 2023-12-23 05:49:57,355 - pyskl - INFO - Epoch [5][100/1281] lr: 2.495e-02, eta: 20:57:29, time: 0.474, data_time: 0.175, memory: 4120, top1_acc: 0.6325, top5_acc: 0.9500, loss_cls: 3.7841, loss: 3.7841 2023-12-23 05:50:39,503 - pyskl - INFO - Epoch [5][200/1281] lr: 2.495e-02, eta: 20:57:51, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.6262, top5_acc: 0.9525, loss_cls: 3.7594, loss: 3.7594 2023-12-23 05:51:21,601 - pyskl - INFO - Epoch [5][300/1281] lr: 2.495e-02, eta: 20:58:09, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.6594, top5_acc: 0.9550, loss_cls: 3.6800, loss: 3.6800 2023-12-23 05:52:03,341 - pyskl - INFO - Epoch [5][400/1281] lr: 2.495e-02, eta: 20:58:13, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.6362, top5_acc: 0.9506, loss_cls: 3.7572, loss: 3.7572 2023-12-23 05:52:45,082 - pyskl - INFO - Epoch [5][500/1281] lr: 2.495e-02, eta: 20:58:15, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.6419, top5_acc: 0.9519, loss_cls: 3.7166, loss: 3.7166 2023-12-23 05:53:26,778 - pyskl - INFO - Epoch [5][600/1281] lr: 2.495e-02, eta: 20:58:15, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.6544, top5_acc: 0.9613, loss_cls: 3.6778, loss: 3.6778 2023-12-23 05:54:08,574 - pyskl - INFO - Epoch [5][700/1281] lr: 2.494e-02, eta: 20:58:16, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.6475, top5_acc: 0.9556, loss_cls: 3.7107, loss: 3.7107 2023-12-23 05:54:50,325 - pyskl - INFO - Epoch [5][800/1281] lr: 2.494e-02, eta: 20:58:14, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.6500, top5_acc: 0.9513, loss_cls: 3.6929, loss: 3.6929 2023-12-23 05:55:32,053 - pyskl - INFO - Epoch [5][900/1281] lr: 2.494e-02, eta: 20:58:10, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.6406, top5_acc: 0.9563, loss_cls: 3.7205, loss: 3.7205 2023-12-23 05:56:13,704 - pyskl - INFO - Epoch [5][1000/1281] lr: 2.494e-02, eta: 20:58:03, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.6538, top5_acc: 0.9613, loss_cls: 3.6235, loss: 3.6235 2023-12-23 05:56:57,183 - pyskl - INFO - Epoch [5][1100/1281] lr: 2.494e-02, eta: 20:58:49, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.6519, top5_acc: 0.9600, loss_cls: 3.7035, loss: 3.7035 2023-12-23 05:57:40,991 - pyskl - INFO - Epoch [5][1200/1281] lr: 2.493e-02, eta: 20:59:42, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.6650, top5_acc: 0.9537, loss_cls: 3.5858, loss: 3.5858 2023-12-23 05:58:15,982 - pyskl - INFO - Saving checkpoint at 5 epochs 2023-12-23 05:59:14,752 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 05:59:14,807 - pyskl - INFO - top1_acc 0.6397 top5_acc 0.9514 2023-12-23 05:59:14,807 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 05:59:14,814 - pyskl - INFO - mean_acc 0.4950 2023-12-23 05:59:14,818 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_4.pth was removed 2023-12-23 05:59:15,000 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. 2023-12-23 05:59:15,001 - pyskl - INFO - Best top1_acc is 0.6397 at 5 epoch. 2023-12-23 05:59:15,004 - pyskl - INFO - Epoch(val) [5][533] top1_acc: 0.6397, top5_acc: 0.9514, mean_class_accuracy: 0.4950 2023-12-23 06:00:00,325 - pyskl - INFO - Epoch [6][100/1281] lr: 2.493e-02, eta: 20:45:00, time: 0.453, data_time: 0.169, memory: 4120, top1_acc: 0.6500, top5_acc: 0.9669, loss_cls: 3.6307, loss: 3.6307 2023-12-23 06:00:42,106 - pyskl - INFO - Epoch [6][200/1281] lr: 2.493e-02, eta: 20:45:03, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.6581, top5_acc: 0.9631, loss_cls: 3.6375, loss: 3.6375 2023-12-23 06:01:23,869 - pyskl - INFO - Epoch [6][300/1281] lr: 2.492e-02, eta: 20:45:04, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.6956, top5_acc: 0.9637, loss_cls: 3.5617, loss: 3.5617 2023-12-23 06:02:05,650 - pyskl - INFO - Epoch [6][400/1281] lr: 2.492e-02, eta: 20:45:05, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.6881, top5_acc: 0.9675, loss_cls: 3.5742, loss: 3.5742 2023-12-23 06:02:47,503 - pyskl - INFO - Epoch [6][500/1281] lr: 2.492e-02, eta: 20:45:06, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.6725, top5_acc: 0.9613, loss_cls: 3.6068, loss: 3.6068 2023-12-23 06:03:29,865 - pyskl - INFO - Epoch [6][600/1281] lr: 2.492e-02, eta: 20:45:19, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.6856, top5_acc: 0.9637, loss_cls: 3.5230, loss: 3.5230 2023-12-23 06:04:12,148 - pyskl - INFO - Epoch [6][700/1281] lr: 2.492e-02, eta: 20:45:29, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.6681, top5_acc: 0.9594, loss_cls: 3.5877, loss: 3.5877 2023-12-23 06:04:53,953 - pyskl - INFO - Epoch [6][800/1281] lr: 2.491e-02, eta: 20:45:25, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.6963, top5_acc: 0.9706, loss_cls: 3.4707, loss: 3.4707 2023-12-23 06:05:35,637 - pyskl - INFO - Epoch [6][900/1281] lr: 2.491e-02, eta: 20:45:17, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.6837, top5_acc: 0.9669, loss_cls: 3.5231, loss: 3.5231 2023-12-23 06:06:17,337 - pyskl - INFO - Epoch [6][1000/1281] lr: 2.491e-02, eta: 20:45:09, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.6975, top5_acc: 0.9669, loss_cls: 3.4881, loss: 3.4881 2023-12-23 06:06:59,208 - pyskl - INFO - Epoch [6][1100/1281] lr: 2.491e-02, eta: 20:45:03, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.6856, top5_acc: 0.9731, loss_cls: 3.5357, loss: 3.5357 2023-12-23 06:07:40,858 - pyskl - INFO - Epoch [6][1200/1281] lr: 2.490e-02, eta: 20:44:52, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.6975, top5_acc: 0.9744, loss_cls: 3.4665, loss: 3.4665 2023-12-23 06:08:15,221 - pyskl - INFO - Saving checkpoint at 6 epochs 2023-12-23 06:09:13,087 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:09:13,152 - pyskl - INFO - top1_acc 0.6790 top5_acc 0.9600 2023-12-23 06:09:13,152 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:09:13,161 - pyskl - INFO - mean_acc 0.5532 2023-12-23 06:09:13,166 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_5.pth was removed 2023-12-23 06:09:13,379 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. 2023-12-23 06:09:13,379 - pyskl - INFO - Best top1_acc is 0.6790 at 6 epoch. 2023-12-23 06:09:13,382 - pyskl - INFO - Epoch(val) [6][533] top1_acc: 0.6790, top5_acc: 0.9600, mean_class_accuracy: 0.5532 2023-12-23 06:10:01,642 - pyskl - INFO - Epoch [7][100/1281] lr: 2.490e-02, eta: 20:33:47, time: 0.483, data_time: 0.195, memory: 4120, top1_acc: 0.7069, top5_acc: 0.9719, loss_cls: 3.4747, loss: 3.4747 2023-12-23 06:10:44,328 - pyskl - INFO - Epoch [7][200/1281] lr: 2.490e-02, eta: 20:34:06, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.6831, top5_acc: 0.9738, loss_cls: 3.4778, loss: 3.4778 2023-12-23 06:11:27,115 - pyskl - INFO - Epoch [7][300/1281] lr: 2.489e-02, eta: 20:34:25, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.6913, top5_acc: 0.9762, loss_cls: 3.4427, loss: 3.4427 2023-12-23 06:12:09,781 - pyskl - INFO - Epoch [7][400/1281] lr: 2.489e-02, eta: 20:34:41, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7075, top5_acc: 0.9719, loss_cls: 3.4481, loss: 3.4481 2023-12-23 06:12:52,431 - pyskl - INFO - Epoch [7][500/1281] lr: 2.489e-02, eta: 20:34:55, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7063, top5_acc: 0.9706, loss_cls: 3.4559, loss: 3.4559 2023-12-23 06:13:35,075 - pyskl - INFO - Epoch [7][600/1281] lr: 2.489e-02, eta: 20:35:07, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7188, top5_acc: 0.9819, loss_cls: 3.3234, loss: 3.3234 2023-12-23 06:14:17,678 - pyskl - INFO - Epoch [7][700/1281] lr: 2.488e-02, eta: 20:35:17, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6981, top5_acc: 0.9675, loss_cls: 3.4094, loss: 3.4094 2023-12-23 06:15:00,237 - pyskl - INFO - Epoch [7][800/1281] lr: 2.488e-02, eta: 20:35:25, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6994, top5_acc: 0.9769, loss_cls: 3.3913, loss: 3.3913 2023-12-23 06:15:43,099 - pyskl - INFO - Epoch [7][900/1281] lr: 2.488e-02, eta: 20:35:38, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7081, top5_acc: 0.9681, loss_cls: 3.3563, loss: 3.3563 2023-12-23 06:16:26,574 - pyskl - INFO - Epoch [7][1000/1281] lr: 2.487e-02, eta: 20:36:03, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.6900, top5_acc: 0.9706, loss_cls: 3.2925, loss: 3.2925 2023-12-23 06:17:10,356 - pyskl - INFO - Epoch [7][1100/1281] lr: 2.487e-02, eta: 20:36:32, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.7137, top5_acc: 0.9756, loss_cls: 2.9484, loss: 2.9484 2023-12-23 06:17:53,387 - pyskl - INFO - Epoch [7][1200/1281] lr: 2.487e-02, eta: 20:36:45, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7106, top5_acc: 0.9738, loss_cls: 2.6986, loss: 2.6986 2023-12-23 06:18:28,456 - pyskl - INFO - Saving checkpoint at 7 epochs 2023-12-23 06:19:27,033 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:19:27,090 - pyskl - INFO - top1_acc 0.6347 top5_acc 0.9436 2023-12-23 06:19:27,090 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:19:27,097 - pyskl - INFO - mean_acc 0.5195 2023-12-23 06:19:27,099 - pyskl - INFO - Epoch(val) [7][533] top1_acc: 0.6347, top5_acc: 0.9436, mean_class_accuracy: 0.5195 2023-12-23 06:20:13,320 - pyskl - INFO - Epoch [8][100/1281] lr: 2.486e-02, eta: 20:26:25, time: 0.462, data_time: 0.181, memory: 4120, top1_acc: 0.7194, top5_acc: 0.9769, loss_cls: 2.5554, loss: 2.5554 2023-12-23 06:20:55,925 - pyskl - INFO - Epoch [8][200/1281] lr: 2.486e-02, eta: 20:26:33, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7175, top5_acc: 0.9744, loss_cls: 2.6257, loss: 2.6257 2023-12-23 06:21:37,944 - pyskl - INFO - Epoch [8][300/1281] lr: 2.486e-02, eta: 20:26:28, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7256, top5_acc: 0.9719, loss_cls: 2.6147, loss: 2.6147 2023-12-23 06:22:19,725 - pyskl - INFO - Epoch [8][400/1281] lr: 2.485e-02, eta: 20:26:18, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7231, top5_acc: 0.9769, loss_cls: 2.5974, loss: 2.5974 2023-12-23 06:23:01,737 - pyskl - INFO - Epoch [8][500/1281] lr: 2.485e-02, eta: 20:26:11, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7388, top5_acc: 0.9762, loss_cls: 2.6093, loss: 2.6093 2023-12-23 06:23:44,405 - pyskl - INFO - Epoch [8][600/1281] lr: 2.485e-02, eta: 20:26:17, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7350, top5_acc: 0.9750, loss_cls: 2.5486, loss: 2.5486 2023-12-23 06:24:26,390 - pyskl - INFO - Epoch [8][700/1281] lr: 2.484e-02, eta: 20:26:08, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7275, top5_acc: 0.9800, loss_cls: 2.5500, loss: 2.5500 2023-12-23 06:25:08,081 - pyskl - INFO - Epoch [8][800/1281] lr: 2.484e-02, eta: 20:25:54, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7288, top5_acc: 0.9769, loss_cls: 2.6077, loss: 2.6077 2023-12-23 06:25:49,728 - pyskl - INFO - Epoch [8][900/1281] lr: 2.484e-02, eta: 20:25:38, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.7206, top5_acc: 0.9756, loss_cls: 2.5967, loss: 2.5967 2023-12-23 06:26:31,429 - pyskl - INFO - Epoch [8][1000/1281] lr: 2.483e-02, eta: 20:25:22, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7475, top5_acc: 0.9762, loss_cls: 2.5164, loss: 2.5164 2023-12-23 06:27:13,145 - pyskl - INFO - Epoch [8][1100/1281] lr: 2.483e-02, eta: 20:25:06, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7256, top5_acc: 0.9812, loss_cls: 2.5871, loss: 2.5871 2023-12-23 06:27:54,851 - pyskl - INFO - Epoch [8][1200/1281] lr: 2.483e-02, eta: 20:24:50, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7212, top5_acc: 0.9669, loss_cls: 2.6522, loss: 2.6522 2023-12-23 06:28:29,302 - pyskl - INFO - Saving checkpoint at 8 epochs 2023-12-23 06:29:27,021 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:29:27,082 - pyskl - INFO - top1_acc 0.6708 top5_acc 0.9578 2023-12-23 06:29:27,082 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:29:27,089 - pyskl - INFO - mean_acc 0.5699 2023-12-23 06:29:27,091 - pyskl - INFO - Epoch(val) [8][533] top1_acc: 0.6708, top5_acc: 0.9578, mean_class_accuracy: 0.5699 2023-12-23 06:30:15,996 - pyskl - INFO - Epoch [9][100/1281] lr: 2.482e-02, eta: 20:16:32, time: 0.489, data_time: 0.209, memory: 4120, top1_acc: 0.7281, top5_acc: 0.9750, loss_cls: 2.6120, loss: 2.6120 2023-12-23 06:30:58,022 - pyskl - INFO - Epoch [9][200/1281] lr: 2.482e-02, eta: 20:16:24, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7450, top5_acc: 0.9862, loss_cls: 2.5593, loss: 2.5593 2023-12-23 06:31:39,822 - pyskl - INFO - Epoch [9][300/1281] lr: 2.481e-02, eta: 20:16:12, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7275, top5_acc: 0.9838, loss_cls: 2.5678, loss: 2.5678 2023-12-23 06:32:21,453 - pyskl - INFO - Epoch [9][400/1281] lr: 2.481e-02, eta: 20:15:57, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.7262, top5_acc: 0.9731, loss_cls: 2.6103, loss: 2.6103 2023-12-23 06:33:03,193 - pyskl - INFO - Epoch [9][500/1281] lr: 2.481e-02, eta: 20:15:42, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7488, top5_acc: 0.9812, loss_cls: 2.4705, loss: 2.4705 2023-12-23 06:33:44,881 - pyskl - INFO - Epoch [9][600/1281] lr: 2.480e-02, eta: 20:15:27, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7262, top5_acc: 0.9756, loss_cls: 2.5559, loss: 2.5559 2023-12-23 06:34:26,586 - pyskl - INFO - Epoch [9][700/1281] lr: 2.480e-02, eta: 20:15:11, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7219, top5_acc: 0.9775, loss_cls: 2.5923, loss: 2.5923 2023-12-23 06:35:08,427 - pyskl - INFO - Epoch [9][800/1281] lr: 2.480e-02, eta: 20:14:57, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7444, top5_acc: 0.9788, loss_cls: 2.5628, loss: 2.5628 2023-12-23 06:35:50,207 - pyskl - INFO - Epoch [9][900/1281] lr: 2.479e-02, eta: 20:14:42, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7381, top5_acc: 0.9819, loss_cls: 2.5703, loss: 2.5703 2023-12-23 06:36:32,394 - pyskl - INFO - Epoch [9][1000/1281] lr: 2.479e-02, eta: 20:14:32, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.7450, top5_acc: 0.9788, loss_cls: 2.5011, loss: 2.5011 2023-12-23 06:37:14,560 - pyskl - INFO - Epoch [9][1100/1281] lr: 2.479e-02, eta: 20:14:22, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.7494, top5_acc: 0.9788, loss_cls: 2.5020, loss: 2.5020 2023-12-23 06:37:56,282 - pyskl - INFO - Epoch [9][1200/1281] lr: 2.478e-02, eta: 20:14:04, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7469, top5_acc: 0.9844, loss_cls: 2.5236, loss: 2.5236 2023-12-23 06:38:30,628 - pyskl - INFO - Saving checkpoint at 9 epochs 2023-12-23 06:39:27,167 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:39:27,238 - pyskl - INFO - top1_acc 0.6977 top5_acc 0.9626 2023-12-23 06:39:27,239 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:39:27,247 - pyskl - INFO - mean_acc 0.6063 2023-12-23 06:39:27,251 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_6.pth was removed 2023-12-23 06:39:27,458 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. 2023-12-23 06:39:27,459 - pyskl - INFO - Best top1_acc is 0.6977 at 9 epoch. 2023-12-23 06:39:27,462 - pyskl - INFO - Epoch(val) [9][533] top1_acc: 0.6977, top5_acc: 0.9626, mean_class_accuracy: 0.6063 2023-12-23 06:40:11,969 - pyskl - INFO - Epoch [10][100/1281] lr: 2.477e-02, eta: 20:05:29, time: 0.445, data_time: 0.173, memory: 4120, top1_acc: 0.7475, top5_acc: 0.9788, loss_cls: 2.5729, loss: 2.5729 2023-12-23 06:40:54,664 - pyskl - INFO - Epoch [10][200/1281] lr: 2.477e-02, eta: 20:05:30, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7288, top5_acc: 0.9869, loss_cls: 2.5882, loss: 2.5882 2023-12-23 06:41:37,325 - pyskl - INFO - Epoch [10][300/1281] lr: 2.477e-02, eta: 20:05:29, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7412, top5_acc: 0.9750, loss_cls: 2.5404, loss: 2.5404 2023-12-23 06:42:20,057 - pyskl - INFO - Epoch [10][400/1281] lr: 2.476e-02, eta: 20:05:28, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7644, top5_acc: 0.9781, loss_cls: 2.4625, loss: 2.4625 2023-12-23 06:43:03,887 - pyskl - INFO - Epoch [10][500/1281] lr: 2.476e-02, eta: 20:05:43, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.7769, top5_acc: 0.9844, loss_cls: 2.4501, loss: 2.4501 2023-12-23 06:43:46,291 - pyskl - INFO - Epoch [10][600/1281] lr: 2.476e-02, eta: 20:05:36, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.7669, top5_acc: 0.9794, loss_cls: 2.4580, loss: 2.4580 2023-12-23 06:44:28,172 - pyskl - INFO - Epoch [10][700/1281] lr: 2.475e-02, eta: 20:05:21, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7588, top5_acc: 0.9812, loss_cls: 2.4925, loss: 2.4925 2023-12-23 06:45:09,903 - pyskl - INFO - Epoch [10][800/1281] lr: 2.475e-02, eta: 20:05:03, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7400, top5_acc: 0.9769, loss_cls: 2.5806, loss: 2.5806 2023-12-23 06:45:51,700 - pyskl - INFO - Epoch [10][900/1281] lr: 2.474e-02, eta: 20:04:46, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7312, top5_acc: 0.9762, loss_cls: 2.5652, loss: 2.5652 2023-12-23 06:46:33,318 - pyskl - INFO - Epoch [10][1000/1281] lr: 2.474e-02, eta: 20:04:26, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.7569, top5_acc: 0.9812, loss_cls: 2.4801, loss: 2.4801 2023-12-23 06:47:14,930 - pyskl - INFO - Epoch [10][1100/1281] lr: 2.473e-02, eta: 20:04:05, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.7294, top5_acc: 0.9819, loss_cls: 2.5819, loss: 2.5819 2023-12-23 06:47:56,758 - pyskl - INFO - Epoch [10][1200/1281] lr: 2.473e-02, eta: 20:03:47, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7369, top5_acc: 0.9756, loss_cls: 2.5478, loss: 2.5478 2023-12-23 06:48:31,170 - pyskl - INFO - Saving checkpoint at 10 epochs 2023-12-23 06:49:30,198 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:49:30,272 - pyskl - INFO - top1_acc 0.7121 top5_acc 0.9691 2023-12-23 06:49:30,273 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:49:30,284 - pyskl - INFO - mean_acc 0.6078 2023-12-23 06:49:30,291 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_9.pth was removed 2023-12-23 06:49:30,555 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. 2023-12-23 06:49:30,555 - pyskl - INFO - Best top1_acc is 0.7121 at 10 epoch. 2023-12-23 06:49:30,558 - pyskl - INFO - Epoch(val) [10][533] top1_acc: 0.7121, top5_acc: 0.9691, mean_class_accuracy: 0.6078 2023-12-23 06:50:21,510 - pyskl - INFO - Epoch [11][100/1281] lr: 2.472e-02, eta: 19:57:30, time: 0.509, data_time: 0.213, memory: 4120, top1_acc: 0.7925, top5_acc: 0.9869, loss_cls: 2.3986, loss: 2.3986 2023-12-23 06:51:03,250 - pyskl - INFO - Epoch [11][200/1281] lr: 2.472e-02, eta: 19:57:13, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7863, top5_acc: 0.9844, loss_cls: 2.3979, loss: 2.3979 2023-12-23 06:51:45,764 - pyskl - INFO - Epoch [11][300/1281] lr: 2.471e-02, eta: 19:57:06, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.7625, top5_acc: 0.9831, loss_cls: 2.5004, loss: 2.5004 2023-12-23 06:52:28,311 - pyskl - INFO - Epoch [11][400/1281] lr: 2.471e-02, eta: 19:56:58, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.7725, top5_acc: 0.9806, loss_cls: 2.4702, loss: 2.4702 2023-12-23 06:53:10,217 - pyskl - INFO - Epoch [11][500/1281] lr: 2.471e-02, eta: 19:56:42, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7769, top5_acc: 0.9812, loss_cls: 2.4208, loss: 2.4208 2023-12-23 06:53:51,915 - pyskl - INFO - Epoch [11][600/1281] lr: 2.470e-02, eta: 19:56:23, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7481, top5_acc: 0.9862, loss_cls: 2.4680, loss: 2.4680 2023-12-23 06:54:34,357 - pyskl - INFO - Epoch [11][700/1281] lr: 2.470e-02, eta: 19:56:13, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.7456, top5_acc: 0.9838, loss_cls: 2.5004, loss: 2.5004 2023-12-23 06:55:17,169 - pyskl - INFO - Epoch [11][800/1281] lr: 2.469e-02, eta: 19:56:07, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7406, top5_acc: 0.9794, loss_cls: 2.5902, loss: 2.5902 2023-12-23 06:56:00,497 - pyskl - INFO - Epoch [11][900/1281] lr: 2.469e-02, eta: 19:56:07, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.7388, top5_acc: 0.9769, loss_cls: 2.5437, loss: 2.5437 2023-12-23 06:56:44,262 - pyskl - INFO - Epoch [11][1000/1281] lr: 2.468e-02, eta: 19:56:13, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.7312, top5_acc: 0.9812, loss_cls: 2.5479, loss: 2.5479 2023-12-23 06:57:27,658 - pyskl - INFO - Epoch [11][1100/1281] lr: 2.468e-02, eta: 19:56:13, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7481, top5_acc: 0.9738, loss_cls: 2.5429, loss: 2.5429 2023-12-23 06:58:10,251 - pyskl - INFO - Epoch [11][1200/1281] lr: 2.467e-02, eta: 19:56:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7550, top5_acc: 0.9781, loss_cls: 2.5231, loss: 2.5231 2023-12-23 06:58:45,256 - pyskl - INFO - Saving checkpoint at 11 epochs 2023-12-23 06:59:42,620 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:59:42,683 - pyskl - INFO - top1_acc 0.6979 top5_acc 0.9666 2023-12-23 06:59:42,683 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:59:42,692 - pyskl - INFO - mean_acc 0.6109 2023-12-23 06:59:42,694 - pyskl - INFO - Epoch(val) [11][533] top1_acc: 0.6979, top5_acc: 0.9666, mean_class_accuracy: 0.6109 2023-12-23 07:00:27,379 - pyskl - INFO - Epoch [12][100/1281] lr: 2.467e-02, eta: 19:48:55, time: 0.447, data_time: 0.172, memory: 4120, top1_acc: 0.7756, top5_acc: 0.9838, loss_cls: 2.4302, loss: 2.4302 2023-12-23 07:01:10,006 - pyskl - INFO - Epoch [12][200/1281] lr: 2.466e-02, eta: 19:48:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7863, top5_acc: 0.9881, loss_cls: 2.3956, loss: 2.3956 2023-12-23 07:01:52,804 - pyskl - INFO - Epoch [12][300/1281] lr: 2.466e-02, eta: 19:48:40, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7644, top5_acc: 0.9825, loss_cls: 2.4842, loss: 2.4842 2023-12-23 07:02:35,424 - pyskl - INFO - Epoch [12][400/1281] lr: 2.465e-02, eta: 19:48:31, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7575, top5_acc: 0.9831, loss_cls: 2.5003, loss: 2.5003 2023-12-23 07:03:17,727 - pyskl - INFO - Epoch [12][500/1281] lr: 2.465e-02, eta: 19:48:17, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.7488, top5_acc: 0.9775, loss_cls: 2.4999, loss: 2.4999 2023-12-23 07:04:00,102 - pyskl - INFO - Epoch [12][600/1281] lr: 2.464e-02, eta: 19:48:03, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.7675, top5_acc: 0.9894, loss_cls: 2.4564, loss: 2.4564 2023-12-23 07:04:41,974 - pyskl - INFO - Epoch [12][700/1281] lr: 2.464e-02, eta: 19:47:44, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.7750, top5_acc: 0.9825, loss_cls: 2.4646, loss: 2.4646 2023-12-23 07:05:23,890 - pyskl - INFO - Epoch [12][800/1281] lr: 2.463e-02, eta: 19:47:24, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7475, top5_acc: 0.9862, loss_cls: 2.5020, loss: 2.5020 2023-12-23 07:06:06,162 - pyskl - INFO - Epoch [12][900/1281] lr: 2.463e-02, eta: 19:47:08, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.7781, top5_acc: 0.9850, loss_cls: 2.4506, loss: 2.4506 2023-12-23 07:06:48,922 - pyskl - INFO - Epoch [12][1000/1281] lr: 2.462e-02, eta: 19:46:58, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7531, top5_acc: 0.9806, loss_cls: 2.5424, loss: 2.5424 2023-12-23 07:07:31,631 - pyskl - INFO - Epoch [12][1100/1281] lr: 2.462e-02, eta: 19:46:47, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7700, top5_acc: 0.9788, loss_cls: 2.4750, loss: 2.4750 2023-12-23 07:08:14,690 - pyskl - INFO - Epoch [12][1200/1281] lr: 2.461e-02, eta: 19:46:39, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7588, top5_acc: 0.9862, loss_cls: 2.4753, loss: 2.4753 2023-12-23 07:08:49,556 - pyskl - INFO - Saving checkpoint at 12 epochs 2023-12-23 07:09:48,705 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 07:09:48,762 - pyskl - INFO - top1_acc 0.7092 top5_acc 0.9613 2023-12-23 07:09:48,762 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 07:09:48,769 - pyskl - INFO - mean_acc 0.6297 2023-12-23 07:09:48,771 - pyskl - INFO - Epoch(val) [12][533] top1_acc: 0.7092, top5_acc: 0.9613, mean_class_accuracy: 0.6297 2023-12-23 07:10:34,835 - pyskl - INFO - Epoch [13][100/1281] lr: 2.460e-02, eta: 19:40:20, time: 0.461, data_time: 0.189, memory: 4120, top1_acc: 0.7700, top5_acc: 0.9869, loss_cls: 2.4238, loss: 2.4238 2023-12-23 07:11:16,656 - pyskl - INFO - Epoch [13][200/1281] lr: 2.460e-02, eta: 19:40:00, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7719, top5_acc: 0.9825, loss_cls: 2.4452, loss: 2.4452 2023-12-23 07:11:58,468 - pyskl - INFO - Epoch [13][300/1281] lr: 2.459e-02, eta: 19:39:39, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7588, top5_acc: 0.9881, loss_cls: 2.4841, loss: 2.4841 2023-12-23 07:12:40,465 - pyskl - INFO - Epoch [13][400/1281] lr: 2.459e-02, eta: 19:39:20, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7675, top5_acc: 0.9869, loss_cls: 2.4456, loss: 2.4456 2023-12-23 07:13:22,527 - pyskl - INFO - Epoch [13][500/1281] lr: 2.458e-02, eta: 19:39:02, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.7681, top5_acc: 0.9862, loss_cls: 2.4716, loss: 2.4716 2023-12-23 07:14:04,371 - pyskl - INFO - Epoch [13][600/1281] lr: 2.458e-02, eta: 19:38:40, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7650, top5_acc: 0.9844, loss_cls: 2.4073, loss: 2.4073 2023-12-23 07:14:46,238 - pyskl - INFO - Epoch [13][700/1281] lr: 2.457e-02, eta: 19:38:19, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7700, top5_acc: 0.9819, loss_cls: 2.4684, loss: 2.4684 2023-12-23 07:15:28,137 - pyskl - INFO - Epoch [13][800/1281] lr: 2.457e-02, eta: 19:37:58, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7550, top5_acc: 0.9800, loss_cls: 2.4962, loss: 2.4962 2023-12-23 07:16:10,093 - pyskl - INFO - Epoch [13][900/1281] lr: 2.456e-02, eta: 19:37:37, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7650, top5_acc: 0.9819, loss_cls: 2.4698, loss: 2.4698 2023-12-23 07:16:52,132 - pyskl - INFO - Epoch [13][1000/1281] lr: 2.455e-02, eta: 19:37:17, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7712, top5_acc: 0.9812, loss_cls: 2.4595, loss: 2.4595 2023-12-23 07:17:34,041 - pyskl - INFO - Epoch [13][1100/1281] lr: 2.455e-02, eta: 19:36:55, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7837, top5_acc: 0.9825, loss_cls: 2.3965, loss: 2.3965 2023-12-23 07:18:17,228 - pyskl - INFO - Epoch [13][1200/1281] lr: 2.454e-02, eta: 19:36:47, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.7575, top5_acc: 0.9788, loss_cls: 2.5084, loss: 2.5084 2023-12-23 07:18:52,564 - pyskl - INFO - Saving checkpoint at 13 epochs 2023-12-23 07:19:49,548 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 07:19:49,604 - pyskl - INFO - top1_acc 0.7122 top5_acc 0.9623 2023-12-23 07:19:49,604 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 07:19:49,611 - pyskl - INFO - mean_acc 0.5962 2023-12-23 07:19:49,616 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_10.pth was removed 2023-12-23 07:19:49,804 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. 2023-12-23 07:19:49,804 - pyskl - INFO - Best top1_acc is 0.7122 at 13 epoch. 2023-12-23 07:19:49,807 - pyskl - INFO - Epoch(val) [13][533] top1_acc: 0.7122, top5_acc: 0.9623, mean_class_accuracy: 0.5962 2023-12-23 07:20:36,549 - pyskl - INFO - Epoch [14][100/1281] lr: 2.453e-02, eta: 19:31:01, time: 0.467, data_time: 0.189, memory: 4120, top1_acc: 0.7837, top5_acc: 0.9850, loss_cls: 2.3911, loss: 2.3911 2023-12-23 07:21:19,675 - pyskl - INFO - Epoch [14][200/1281] lr: 2.453e-02, eta: 19:30:53, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7900, top5_acc: 0.9819, loss_cls: 2.4110, loss: 2.4110 2023-12-23 07:22:02,731 - pyskl - INFO - Epoch [14][300/1281] lr: 2.452e-02, eta: 19:30:44, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7775, top5_acc: 0.9900, loss_cls: 2.4337, loss: 2.4337 2023-12-23 07:22:45,008 - pyskl - INFO - Epoch [14][400/1281] lr: 2.452e-02, eta: 19:30:26, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.7894, top5_acc: 0.9869, loss_cls: 2.4258, loss: 2.4258 2023-12-23 07:23:26,812 - pyskl - INFO - Epoch [14][500/1281] lr: 2.451e-02, eta: 19:30:03, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7750, top5_acc: 0.9881, loss_cls: 2.4626, loss: 2.4626 2023-12-23 07:24:08,721 - pyskl - INFO - Epoch [14][600/1281] lr: 2.451e-02, eta: 19:29:41, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7669, top5_acc: 0.9838, loss_cls: 2.4519, loss: 2.4519 2023-12-23 07:24:50,779 - pyskl - INFO - Epoch [14][700/1281] lr: 2.450e-02, eta: 19:29:20, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.7806, top5_acc: 0.9856, loss_cls: 2.3747, loss: 2.3747 2023-12-23 07:25:32,817 - pyskl - INFO - Epoch [14][800/1281] lr: 2.449e-02, eta: 19:28:59, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7906, top5_acc: 0.9888, loss_cls: 2.3176, loss: 2.3176 2023-12-23 07:26:14,766 - pyskl - INFO - Epoch [14][900/1281] lr: 2.449e-02, eta: 19:28:37, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7769, top5_acc: 0.9819, loss_cls: 2.3811, loss: 2.3811 2023-12-23 07:26:56,614 - pyskl - INFO - Epoch [14][1000/1281] lr: 2.448e-02, eta: 19:28:13, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7681, top5_acc: 0.9869, loss_cls: 2.4563, loss: 2.4563 2023-12-23 07:27:39,228 - pyskl - INFO - Epoch [14][1100/1281] lr: 2.448e-02, eta: 19:27:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7788, top5_acc: 0.9869, loss_cls: 2.3990, loss: 2.3990 2023-12-23 07:28:22,432 - pyskl - INFO - Epoch [14][1200/1281] lr: 2.447e-02, eta: 19:27:47, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.7656, top5_acc: 0.9781, loss_cls: 2.4550, loss: 2.4550 2023-12-23 07:28:57,297 - pyskl - INFO - Saving checkpoint at 14 epochs 2023-12-23 07:29:54,814 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 07:29:54,880 - pyskl - INFO - top1_acc 0.6459 top5_acc 0.9123 2023-12-23 07:29:54,880 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 07:29:54,888 - pyskl - INFO - mean_acc 0.5466 2023-12-23 07:29:54,890 - pyskl - INFO - Epoch(val) [14][533] top1_acc: 0.6459, top5_acc: 0.9123, mean_class_accuracy: 0.5466 2023-12-23 07:30:39,408 - pyskl - INFO - Epoch [15][100/1281] lr: 2.446e-02, eta: 19:22:01, time: 0.445, data_time: 0.181, memory: 4120, top1_acc: 0.8019, top5_acc: 0.9869, loss_cls: 2.3138, loss: 2.3138 2023-12-23 07:31:21,356 - pyskl - INFO - Epoch [15][200/1281] lr: 2.445e-02, eta: 19:21:39, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7681, top5_acc: 0.9812, loss_cls: 2.4283, loss: 2.4283 2023-12-23 07:32:03,257 - pyskl - INFO - Epoch [15][300/1281] lr: 2.445e-02, eta: 19:21:17, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7981, top5_acc: 0.9888, loss_cls: 2.3285, loss: 2.3285 2023-12-23 07:32:45,185 - pyskl - INFO - Epoch [15][400/1281] lr: 2.444e-02, eta: 19:20:54, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7712, top5_acc: 0.9850, loss_cls: 2.4606, loss: 2.4606 2023-12-23 07:33:28,316 - pyskl - INFO - Epoch [15][500/1281] lr: 2.444e-02, eta: 19:20:43, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7944, top5_acc: 0.9838, loss_cls: 2.3527, loss: 2.3527 2023-12-23 07:34:11,321 - pyskl - INFO - Epoch [15][600/1281] lr: 2.443e-02, eta: 19:20:30, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7750, top5_acc: 0.9819, loss_cls: 2.4085, loss: 2.4085 2023-12-23 07:34:54,079 - pyskl - INFO - Epoch [15][700/1281] lr: 2.442e-02, eta: 19:20:15, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7662, top5_acc: 0.9825, loss_cls: 2.4657, loss: 2.4657 2023-12-23 07:35:37,302 - pyskl - INFO - Epoch [15][800/1281] lr: 2.442e-02, eta: 19:20:04, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.7750, top5_acc: 0.9831, loss_cls: 2.4410, loss: 2.4410 2023-12-23 07:36:20,618 - pyskl - INFO - Epoch [15][900/1281] lr: 2.441e-02, eta: 19:19:53, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.7656, top5_acc: 0.9875, loss_cls: 2.3989, loss: 2.3989 2023-12-23 07:37:03,804 - pyskl - INFO - Epoch [15][1000/1281] lr: 2.441e-02, eta: 19:19:40, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.7806, top5_acc: 0.9819, loss_cls: 2.3922, loss: 2.3922 2023-12-23 07:37:46,892 - pyskl - INFO - Epoch [15][1100/1281] lr: 2.440e-02, eta: 19:19:27, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7806, top5_acc: 0.9856, loss_cls: 2.3779, loss: 2.3779 2023-12-23 07:38:29,698 - pyskl - INFO - Epoch [15][1200/1281] lr: 2.439e-02, eta: 19:19:10, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7800, top5_acc: 0.9838, loss_cls: 2.4132, loss: 2.4132 2023-12-23 07:39:05,252 - pyskl - INFO - Saving checkpoint at 15 epochs 2023-12-23 07:40:02,181 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 07:40:02,240 - pyskl - INFO - top1_acc 0.7622 top5_acc 0.9775 2023-12-23 07:40:02,240 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 07:40:02,248 - pyskl - INFO - mean_acc 0.6912 2023-12-23 07:40:02,253 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_13.pth was removed 2023-12-23 07:40:02,451 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. 2023-12-23 07:40:02,451 - pyskl - INFO - Best top1_acc is 0.7622 at 15 epoch. 2023-12-23 07:40:02,454 - pyskl - INFO - Epoch(val) [15][533] top1_acc: 0.7622, top5_acc: 0.9775, mean_class_accuracy: 0.6912 2023-12-23 07:40:48,465 - pyskl - INFO - Epoch [16][100/1281] lr: 2.438e-02, eta: 19:13:58, time: 0.460, data_time: 0.189, memory: 4120, top1_acc: 0.8025, top5_acc: 0.9875, loss_cls: 2.2820, loss: 2.2820 2023-12-23 07:41:31,359 - pyskl - INFO - Epoch [16][200/1281] lr: 2.438e-02, eta: 19:13:43, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9838, loss_cls: 2.3630, loss: 2.3630 2023-12-23 07:42:14,217 - pyskl - INFO - Epoch [16][300/1281] lr: 2.437e-02, eta: 19:13:28, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7869, top5_acc: 0.9850, loss_cls: 2.3700, loss: 2.3700 2023-12-23 07:42:57,421 - pyskl - INFO - Epoch [16][400/1281] lr: 2.436e-02, eta: 19:13:15, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.7731, top5_acc: 0.9806, loss_cls: 2.4323, loss: 2.4323 2023-12-23 07:43:39,156 - pyskl - INFO - Epoch [16][500/1281] lr: 2.436e-02, eta: 19:12:49, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7850, top5_acc: 0.9850, loss_cls: 2.4020, loss: 2.4020 2023-12-23 07:44:20,991 - pyskl - INFO - Epoch [16][600/1281] lr: 2.435e-02, eta: 19:12:24, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7869, top5_acc: 0.9875, loss_cls: 2.3924, loss: 2.3924 2023-12-23 07:45:02,938 - pyskl - INFO - Epoch [16][700/1281] lr: 2.434e-02, eta: 19:12:00, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7975, top5_acc: 0.9900, loss_cls: 2.3381, loss: 2.3381 2023-12-23 07:45:44,666 - pyskl - INFO - Epoch [16][800/1281] lr: 2.434e-02, eta: 19:11:33, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7894, top5_acc: 0.9831, loss_cls: 2.3749, loss: 2.3749 2023-12-23 07:46:26,608 - pyskl - INFO - Epoch [16][900/1281] lr: 2.433e-02, eta: 19:11:08, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7700, top5_acc: 0.9825, loss_cls: 2.4282, loss: 2.4282 2023-12-23 07:47:08,604 - pyskl - INFO - Epoch [16][1000/1281] lr: 2.432e-02, eta: 19:10:44, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7850, top5_acc: 0.9900, loss_cls: 2.3467, loss: 2.3467 2023-12-23 07:47:50,446 - pyskl - INFO - Epoch [16][1100/1281] lr: 2.432e-02, eta: 19:10:18, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7906, top5_acc: 0.9856, loss_cls: 2.3613, loss: 2.3613 2023-12-23 07:48:32,342 - pyskl - INFO - Epoch [16][1200/1281] lr: 2.431e-02, eta: 19:09:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7788, top5_acc: 0.9850, loss_cls: 2.4067, loss: 2.4067 2023-12-23 07:49:06,977 - pyskl - INFO - Saving checkpoint at 16 epochs 2023-12-23 07:50:03,746 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 07:50:03,812 - pyskl - INFO - top1_acc 0.7531 top5_acc 0.9776 2023-12-23 07:50:03,813 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 07:50:03,823 - pyskl - INFO - mean_acc 0.6549 2023-12-23 07:50:03,827 - pyskl - INFO - Epoch(val) [16][533] top1_acc: 0.7531, top5_acc: 0.9776, mean_class_accuracy: 0.6549 2023-12-23 07:50:50,155 - pyskl - INFO - Epoch [17][100/1281] lr: 2.430e-02, eta: 19:05:00, time: 0.463, data_time: 0.193, memory: 4120, top1_acc: 0.7856, top5_acc: 0.9844, loss_cls: 2.3658, loss: 2.3658 2023-12-23 07:51:33,310 - pyskl - INFO - Epoch [17][200/1281] lr: 2.429e-02, eta: 19:04:46, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.7869, top5_acc: 0.9881, loss_cls: 2.3347, loss: 2.3347 2023-12-23 07:52:16,135 - pyskl - INFO - Epoch [17][300/1281] lr: 2.428e-02, eta: 19:04:28, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7881, top5_acc: 0.9919, loss_cls: 2.3556, loss: 2.3556 2023-12-23 07:52:58,925 - pyskl - INFO - Epoch [17][400/1281] lr: 2.428e-02, eta: 19:04:10, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8037, top5_acc: 0.9938, loss_cls: 2.3242, loss: 2.3242 2023-12-23 07:53:41,950 - pyskl - INFO - Epoch [17][500/1281] lr: 2.427e-02, eta: 19:03:54, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7900, top5_acc: 0.9856, loss_cls: 2.3746, loss: 2.3746 2023-12-23 07:54:24,896 - pyskl - INFO - Epoch [17][600/1281] lr: 2.426e-02, eta: 19:03:37, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8187, top5_acc: 0.9881, loss_cls: 2.2978, loss: 2.2978 2023-12-23 07:55:07,992 - pyskl - INFO - Epoch [17][700/1281] lr: 2.426e-02, eta: 19:03:21, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7856, top5_acc: 0.9850, loss_cls: 2.3983, loss: 2.3983 2023-12-23 07:55:50,807 - pyskl - INFO - Epoch [17][800/1281] lr: 2.425e-02, eta: 19:03:03, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7900, top5_acc: 0.9781, loss_cls: 2.3942, loss: 2.3942 2023-12-23 07:56:33,398 - pyskl - INFO - Epoch [17][900/1281] lr: 2.424e-02, eta: 19:02:42, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7788, top5_acc: 0.9844, loss_cls: 2.3866, loss: 2.3866 2023-12-23 07:57:15,390 - pyskl - INFO - Epoch [17][1000/1281] lr: 2.424e-02, eta: 19:02:16, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7681, top5_acc: 0.9781, loss_cls: 2.4390, loss: 2.4390 2023-12-23 07:57:57,756 - pyskl - INFO - Epoch [17][1100/1281] lr: 2.423e-02, eta: 19:01:54, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.7731, top5_acc: 0.9800, loss_cls: 2.4242, loss: 2.4242 2023-12-23 07:58:40,187 - pyskl - INFO - Epoch [17][1200/1281] lr: 2.422e-02, eta: 19:01:31, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.7900, top5_acc: 0.9875, loss_cls: 2.3589, loss: 2.3589 2023-12-23 07:59:15,639 - pyskl - INFO - Saving checkpoint at 17 epochs 2023-12-23 08:00:18,721 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:00:18,806 - pyskl - INFO - top1_acc 0.7754 top5_acc 0.9796 2023-12-23 08:00:18,807 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:00:18,827 - pyskl - INFO - mean_acc 0.7080 2023-12-23 08:00:18,837 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_15.pth was removed 2023-12-23 08:00:19,070 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. 2023-12-23 08:00:19,070 - pyskl - INFO - Best top1_acc is 0.7754 at 17 epoch. 2023-12-23 08:00:19,073 - pyskl - INFO - Epoch(val) [17][533] top1_acc: 0.7754, top5_acc: 0.9796, mean_class_accuracy: 0.7080 2023-12-23 08:01:10,747 - pyskl - INFO - Epoch [18][100/1281] lr: 2.421e-02, eta: 18:57:35, time: 0.517, data_time: 0.231, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9919, loss_cls: 2.2490, loss: 2.2490 2023-12-23 08:01:53,782 - pyskl - INFO - Epoch [18][200/1281] lr: 2.420e-02, eta: 18:57:17, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8019, top5_acc: 0.9881, loss_cls: 2.2951, loss: 2.2951 2023-12-23 08:02:38,129 - pyskl - INFO - Epoch [18][300/1281] lr: 2.419e-02, eta: 18:57:10, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.7931, top5_acc: 0.9888, loss_cls: 2.3436, loss: 2.3436 2023-12-23 08:03:20,781 - pyskl - INFO - Epoch [18][400/1281] lr: 2.419e-02, eta: 18:56:49, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.7900, top5_acc: 0.9856, loss_cls: 2.3828, loss: 2.3828 2023-12-23 08:04:03,497 - pyskl - INFO - Epoch [18][500/1281] lr: 2.418e-02, eta: 18:56:29, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.7969, top5_acc: 0.9869, loss_cls: 2.3332, loss: 2.3332 2023-12-23 08:04:45,917 - pyskl - INFO - Epoch [18][600/1281] lr: 2.417e-02, eta: 18:56:06, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.7900, top5_acc: 0.9819, loss_cls: 2.3734, loss: 2.3734 2023-12-23 08:05:28,182 - pyskl - INFO - Epoch [18][700/1281] lr: 2.417e-02, eta: 18:55:42, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.7925, top5_acc: 0.9831, loss_cls: 2.3926, loss: 2.3926 2023-12-23 08:06:10,080 - pyskl - INFO - Epoch [18][800/1281] lr: 2.416e-02, eta: 18:55:15, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7869, top5_acc: 0.9869, loss_cls: 2.3775, loss: 2.3775 2023-12-23 08:06:54,047 - pyskl - INFO - Epoch [18][900/1281] lr: 2.415e-02, eta: 18:55:03, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8000, top5_acc: 0.9888, loss_cls: 2.3156, loss: 2.3156 2023-12-23 08:07:38,095 - pyskl - INFO - Epoch [18][1000/1281] lr: 2.414e-02, eta: 18:54:51, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.7956, top5_acc: 0.9862, loss_cls: 2.3033, loss: 2.3033 2023-12-23 08:08:20,402 - pyskl - INFO - Epoch [18][1100/1281] lr: 2.414e-02, eta: 18:54:27, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.7831, top5_acc: 0.9875, loss_cls: 2.3517, loss: 2.3517 2023-12-23 08:09:02,952 - pyskl - INFO - Epoch [18][1200/1281] lr: 2.413e-02, eta: 18:54:04, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8044, top5_acc: 0.9825, loss_cls: 2.2994, loss: 2.2994 2023-12-23 08:09:38,173 - pyskl - INFO - Saving checkpoint at 18 epochs 2023-12-23 08:10:39,418 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:10:39,485 - pyskl - INFO - top1_acc 0.7348 top5_acc 0.9668 2023-12-23 08:10:39,486 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:10:39,496 - pyskl - INFO - mean_acc 0.6921 2023-12-23 08:10:39,502 - pyskl - INFO - Epoch(val) [18][533] top1_acc: 0.7348, top5_acc: 0.9668, mean_class_accuracy: 0.6921 2023-12-23 08:11:31,902 - pyskl - INFO - Epoch [19][100/1281] lr: 2.411e-02, eta: 18:50:22, time: 0.524, data_time: 0.235, memory: 4120, top1_acc: 0.7969, top5_acc: 0.9900, loss_cls: 2.3404, loss: 2.3404 2023-12-23 08:12:14,544 - pyskl - INFO - Epoch [19][200/1281] lr: 2.411e-02, eta: 18:50:00, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9919, loss_cls: 2.3172, loss: 2.3172 2023-12-23 08:12:57,753 - pyskl - INFO - Epoch [19][300/1281] lr: 2.410e-02, eta: 18:49:42, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7913, top5_acc: 0.9775, loss_cls: 2.3914, loss: 2.3914 2023-12-23 08:13:40,693 - pyskl - INFO - Epoch [19][400/1281] lr: 2.409e-02, eta: 18:49:22, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8013, top5_acc: 0.9888, loss_cls: 2.3023, loss: 2.3023 2023-12-23 08:14:24,279 - pyskl - INFO - Epoch [19][500/1281] lr: 2.408e-02, eta: 18:49:06, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8013, top5_acc: 0.9912, loss_cls: 2.2972, loss: 2.2972 2023-12-23 08:15:07,866 - pyskl - INFO - Epoch [19][600/1281] lr: 2.408e-02, eta: 18:48:50, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.7969, top5_acc: 0.9900, loss_cls: 2.3152, loss: 2.3152 2023-12-23 08:15:52,302 - pyskl - INFO - Epoch [19][700/1281] lr: 2.407e-02, eta: 18:48:40, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.7881, top5_acc: 0.9844, loss_cls: 2.3578, loss: 2.3578 2023-12-23 08:16:34,637 - pyskl - INFO - Epoch [19][800/1281] lr: 2.406e-02, eta: 18:48:15, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.7956, top5_acc: 0.9825, loss_cls: 2.3464, loss: 2.3464 2023-12-23 08:17:17,123 - pyskl - INFO - Epoch [19][900/1281] lr: 2.405e-02, eta: 18:47:50, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9881, loss_cls: 2.3072, loss: 2.3072 2023-12-23 08:18:01,191 - pyskl - INFO - Epoch [19][1000/1281] lr: 2.405e-02, eta: 18:47:37, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9869, loss_cls: 2.3851, loss: 2.3851 2023-12-23 08:18:44,531 - pyskl - INFO - Epoch [19][1100/1281] lr: 2.404e-02, eta: 18:47:18, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8113, top5_acc: 0.9900, loss_cls: 2.2772, loss: 2.2772 2023-12-23 08:19:28,387 - pyskl - INFO - Epoch [19][1200/1281] lr: 2.403e-02, eta: 18:47:03, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.7856, top5_acc: 0.9869, loss_cls: 2.3794, loss: 2.3794 2023-12-23 08:20:04,963 - pyskl - INFO - Saving checkpoint at 19 epochs 2023-12-23 08:21:07,172 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:21:07,242 - pyskl - INFO - top1_acc 0.7673 top5_acc 0.9774 2023-12-23 08:21:07,242 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:21:07,251 - pyskl - INFO - mean_acc 0.6806 2023-12-23 08:21:07,254 - pyskl - INFO - Epoch(val) [19][533] top1_acc: 0.7673, top5_acc: 0.9774, mean_class_accuracy: 0.6806 2023-12-23 08:21:57,386 - pyskl - INFO - Epoch [20][100/1281] lr: 2.402e-02, eta: 18:43:13, time: 0.501, data_time: 0.228, memory: 4120, top1_acc: 0.7981, top5_acc: 0.9850, loss_cls: 2.2847, loss: 2.2847 2023-12-23 08:22:39,498 - pyskl - INFO - Epoch [20][200/1281] lr: 2.401e-02, eta: 18:42:46, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9888, loss_cls: 2.3044, loss: 2.3044 2023-12-23 08:23:22,425 - pyskl - INFO - Epoch [20][300/1281] lr: 2.400e-02, eta: 18:42:25, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9869, loss_cls: 2.3049, loss: 2.3049 2023-12-23 08:24:06,776 - pyskl - INFO - Epoch [20][400/1281] lr: 2.399e-02, eta: 18:42:13, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8000, top5_acc: 0.9900, loss_cls: 2.3264, loss: 2.3264 2023-12-23 08:24:50,648 - pyskl - INFO - Epoch [20][500/1281] lr: 2.398e-02, eta: 18:41:57, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8025, top5_acc: 0.9912, loss_cls: 2.3053, loss: 2.3053 2023-12-23 08:25:33,943 - pyskl - INFO - Epoch [20][600/1281] lr: 2.398e-02, eta: 18:41:37, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8050, top5_acc: 0.9819, loss_cls: 2.2939, loss: 2.2939 2023-12-23 08:26:17,521 - pyskl - INFO - Epoch [20][700/1281] lr: 2.397e-02, eta: 18:41:19, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9875, loss_cls: 2.3025, loss: 2.3025 2023-12-23 08:27:00,760 - pyskl - INFO - Epoch [20][800/1281] lr: 2.396e-02, eta: 18:40:59, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7906, top5_acc: 0.9838, loss_cls: 2.3508, loss: 2.3508 2023-12-23 08:27:44,606 - pyskl - INFO - Epoch [20][900/1281] lr: 2.395e-02, eta: 18:40:42, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.7994, top5_acc: 0.9862, loss_cls: 2.3601, loss: 2.3601 2023-12-23 08:28:28,835 - pyskl - INFO - Epoch [20][1000/1281] lr: 2.394e-02, eta: 18:40:28, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9862, loss_cls: 2.2931, loss: 2.2931 2023-12-23 08:29:12,984 - pyskl - INFO - Epoch [20][1100/1281] lr: 2.393e-02, eta: 18:40:13, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9881, loss_cls: 2.3192, loss: 2.3192 2023-12-23 08:29:57,050 - pyskl - INFO - Epoch [20][1200/1281] lr: 2.393e-02, eta: 18:39:57, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9862, loss_cls: 2.2595, loss: 2.2595 2023-12-23 08:30:33,268 - pyskl - INFO - Saving checkpoint at 20 epochs 2023-12-23 08:31:33,737 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:31:33,830 - pyskl - INFO - top1_acc 0.7814 top5_acc 0.9805 2023-12-23 08:31:33,830 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:31:33,840 - pyskl - INFO - mean_acc 0.7059 2023-12-23 08:31:33,845 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_17.pth was removed 2023-12-23 08:31:34,074 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. 2023-12-23 08:31:34,075 - pyskl - INFO - Best top1_acc is 0.7814 at 20 epoch. 2023-12-23 08:31:34,078 - pyskl - INFO - Epoch(val) [20][533] top1_acc: 0.7814, top5_acc: 0.9805, mean_class_accuracy: 0.7059 2023-12-23 08:32:24,854 - pyskl - INFO - Epoch [21][100/1281] lr: 2.391e-02, eta: 18:36:20, time: 0.508, data_time: 0.228, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9900, loss_cls: 2.2509, loss: 2.2509 2023-12-23 08:33:07,168 - pyskl - INFO - Epoch [21][200/1281] lr: 2.390e-02, eta: 18:35:53, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9925, loss_cls: 2.2636, loss: 2.2636 2023-12-23 08:33:49,566 - pyskl - INFO - Epoch [21][300/1281] lr: 2.389e-02, eta: 18:35:26, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9888, loss_cls: 2.2470, loss: 2.2470 2023-12-23 08:34:33,506 - pyskl - INFO - Epoch [21][400/1281] lr: 2.389e-02, eta: 18:35:10, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8037, top5_acc: 0.9900, loss_cls: 2.3123, loss: 2.3123 2023-12-23 08:35:16,457 - pyskl - INFO - Epoch [21][500/1281] lr: 2.388e-02, eta: 18:34:46, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8144, top5_acc: 0.9869, loss_cls: 2.3072, loss: 2.3072 2023-12-23 08:35:58,627 - pyskl - INFO - Epoch [21][600/1281] lr: 2.387e-02, eta: 18:34:18, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9856, loss_cls: 2.3098, loss: 2.3098 2023-12-23 08:36:41,471 - pyskl - INFO - Epoch [21][700/1281] lr: 2.386e-02, eta: 18:33:54, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8075, top5_acc: 0.9875, loss_cls: 2.2924, loss: 2.2924 2023-12-23 08:37:25,895 - pyskl - INFO - Epoch [21][800/1281] lr: 2.385e-02, eta: 18:33:39, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.7881, top5_acc: 0.9894, loss_cls: 2.3461, loss: 2.3461 2023-12-23 08:38:10,056 - pyskl - INFO - Epoch [21][900/1281] lr: 2.384e-02, eta: 18:33:23, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9869, loss_cls: 2.2636, loss: 2.2636 2023-12-23 08:38:53,594 - pyskl - INFO - Epoch [21][1000/1281] lr: 2.383e-02, eta: 18:33:03, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9919, loss_cls: 2.2446, loss: 2.2446 2023-12-23 08:39:37,203 - pyskl - INFO - Epoch [21][1100/1281] lr: 2.383e-02, eta: 18:32:42, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.7987, top5_acc: 0.9831, loss_cls: 2.3433, loss: 2.3433 2023-12-23 08:40:21,242 - pyskl - INFO - Epoch [21][1200/1281] lr: 2.382e-02, eta: 18:32:25, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.7919, top5_acc: 0.9875, loss_cls: 2.3720, loss: 2.3720 2023-12-23 08:40:57,953 - pyskl - INFO - Saving checkpoint at 21 epochs 2023-12-23 08:42:02,654 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:42:02,717 - pyskl - INFO - top1_acc 0.6718 top5_acc 0.9331 2023-12-23 08:42:02,718 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:42:02,732 - pyskl - INFO - mean_acc 0.5513 2023-12-23 08:42:02,735 - pyskl - INFO - Epoch(val) [21][533] top1_acc: 0.6718, top5_acc: 0.9331, mean_class_accuracy: 0.5513 2023-12-23 08:42:54,805 - pyskl - INFO - Epoch [22][100/1281] lr: 2.380e-02, eta: 18:29:03, time: 0.521, data_time: 0.223, memory: 4120, top1_acc: 0.8119, top5_acc: 0.9919, loss_cls: 2.2562, loss: 2.2562 2023-12-23 08:43:37,037 - pyskl - INFO - Epoch [22][200/1281] lr: 2.379e-02, eta: 18:28:35, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9900, loss_cls: 2.2834, loss: 2.2834 2023-12-23 08:44:19,316 - pyskl - INFO - Epoch [22][300/1281] lr: 2.378e-02, eta: 18:28:06, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8150, top5_acc: 0.9906, loss_cls: 2.2417, loss: 2.2417 2023-12-23 08:45:01,666 - pyskl - INFO - Epoch [22][400/1281] lr: 2.378e-02, eta: 18:27:38, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9931, loss_cls: 2.2060, loss: 2.2060 2023-12-23 08:45:45,613 - pyskl - INFO - Epoch [22][500/1281] lr: 2.377e-02, eta: 18:27:20, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9906, loss_cls: 2.2811, loss: 2.2811 2023-12-23 08:46:29,643 - pyskl - INFO - Epoch [22][600/1281] lr: 2.376e-02, eta: 18:27:02, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.7956, top5_acc: 0.9944, loss_cls: 2.3477, loss: 2.3477 2023-12-23 08:47:12,121 - pyskl - INFO - Epoch [22][700/1281] lr: 2.375e-02, eta: 18:26:34, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9850, loss_cls: 2.2383, loss: 2.2383 2023-12-23 08:47:54,138 - pyskl - INFO - Epoch [22][800/1281] lr: 2.374e-02, eta: 18:26:04, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.7894, top5_acc: 0.9881, loss_cls: 2.3331, loss: 2.3331 2023-12-23 08:48:36,721 - pyskl - INFO - Epoch [22][900/1281] lr: 2.373e-02, eta: 18:25:36, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9869, loss_cls: 2.2708, loss: 2.2708 2023-12-23 08:49:21,103 - pyskl - INFO - Epoch [22][1000/1281] lr: 2.372e-02, eta: 18:25:20, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8131, top5_acc: 0.9919, loss_cls: 2.2700, loss: 2.2700 2023-12-23 08:50:05,422 - pyskl - INFO - Epoch [22][1100/1281] lr: 2.371e-02, eta: 18:25:02, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.8231, top5_acc: 0.9825, loss_cls: 2.2861, loss: 2.2861 2023-12-23 08:50:49,131 - pyskl - INFO - Epoch [22][1200/1281] lr: 2.370e-02, eta: 18:24:41, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8113, top5_acc: 0.9875, loss_cls: 2.3147, loss: 2.3147 2023-12-23 08:51:24,929 - pyskl - INFO - Saving checkpoint at 22 epochs 2023-12-23 08:52:26,809 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:52:26,883 - pyskl - INFO - top1_acc 0.7656 top5_acc 0.9743 2023-12-23 08:52:26,884 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:52:26,893 - pyskl - INFO - mean_acc 0.6925 2023-12-23 08:52:26,896 - pyskl - INFO - Epoch(val) [22][533] top1_acc: 0.7656, top5_acc: 0.9743, mean_class_accuracy: 0.6925 2023-12-23 08:53:18,404 - pyskl - INFO - Epoch [23][100/1281] lr: 2.369e-02, eta: 18:21:23, time: 0.515, data_time: 0.225, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9925, loss_cls: 2.1987, loss: 2.1987 2023-12-23 08:54:00,942 - pyskl - INFO - Epoch [23][200/1281] lr: 2.368e-02, eta: 18:20:55, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9900, loss_cls: 2.1673, loss: 2.1673 2023-12-23 08:54:43,454 - pyskl - INFO - Epoch [23][300/1281] lr: 2.367e-02, eta: 18:20:28, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8119, top5_acc: 0.9900, loss_cls: 2.2731, loss: 2.2731 2023-12-23 08:55:25,567 - pyskl - INFO - Epoch [23][400/1281] lr: 2.366e-02, eta: 18:19:57, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8056, top5_acc: 0.9856, loss_cls: 2.2805, loss: 2.2805 2023-12-23 08:56:07,906 - pyskl - INFO - Epoch [23][500/1281] lr: 2.365e-02, eta: 18:19:28, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9900, loss_cls: 2.2372, loss: 2.2372 2023-12-23 08:56:50,422 - pyskl - INFO - Epoch [23][600/1281] lr: 2.364e-02, eta: 18:19:00, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9838, loss_cls: 2.2664, loss: 2.2664 2023-12-23 08:57:33,133 - pyskl - INFO - Epoch [23][700/1281] lr: 2.363e-02, eta: 18:18:33, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8187, top5_acc: 0.9869, loss_cls: 2.2568, loss: 2.2568 2023-12-23 08:58:15,891 - pyskl - INFO - Epoch [23][800/1281] lr: 2.362e-02, eta: 18:18:06, time: 0.428, data_time: 0.002, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9906, loss_cls: 2.3297, loss: 2.3297 2023-12-23 08:58:58,361 - pyskl - INFO - Epoch [23][900/1281] lr: 2.361e-02, eta: 18:17:37, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9900, loss_cls: 2.2907, loss: 2.2907 2023-12-23 08:59:40,451 - pyskl - INFO - Epoch [23][1000/1281] lr: 2.360e-02, eta: 18:17:07, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9900, loss_cls: 2.3038, loss: 2.3038 2023-12-23 09:00:24,534 - pyskl - INFO - Epoch [23][1100/1281] lr: 2.359e-02, eta: 18:16:47, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8150, top5_acc: 0.9881, loss_cls: 2.2648, loss: 2.2648 2023-12-23 09:01:08,386 - pyskl - INFO - Epoch [23][1200/1281] lr: 2.359e-02, eta: 18:16:25, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.7944, top5_acc: 0.9875, loss_cls: 2.3382, loss: 2.3382 2023-12-23 09:01:45,292 - pyskl - INFO - Saving checkpoint at 23 epochs 2023-12-23 09:02:49,687 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:02:49,770 - pyskl - INFO - top1_acc 0.7215 top5_acc 0.9631 2023-12-23 09:02:49,771 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:02:49,786 - pyskl - INFO - mean_acc 0.6171 2023-12-23 09:02:49,792 - pyskl - INFO - Epoch(val) [23][533] top1_acc: 0.7215, top5_acc: 0.9631, mean_class_accuracy: 0.6171 2023-12-23 09:03:39,369 - pyskl - INFO - Epoch [24][100/1281] lr: 2.357e-02, eta: 18:13:03, time: 0.496, data_time: 0.216, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9931, loss_cls: 2.1791, loss: 2.1791 2023-12-23 09:04:21,796 - pyskl - INFO - Epoch [24][200/1281] lr: 2.356e-02, eta: 18:12:34, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9888, loss_cls: 2.1818, loss: 2.1818 2023-12-23 09:05:04,364 - pyskl - INFO - Epoch [24][300/1281] lr: 2.355e-02, eta: 18:12:05, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8275, top5_acc: 0.9925, loss_cls: 2.2055, loss: 2.2055 2023-12-23 09:05:48,597 - pyskl - INFO - Epoch [24][400/1281] lr: 2.354e-02, eta: 18:11:46, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9925, loss_cls: 2.2030, loss: 2.2030 2023-12-23 09:06:32,787 - pyskl - INFO - Epoch [24][500/1281] lr: 2.353e-02, eta: 18:11:26, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8225, top5_acc: 0.9881, loss_cls: 2.2730, loss: 2.2730 2023-12-23 09:07:16,070 - pyskl - INFO - Epoch [24][600/1281] lr: 2.352e-02, eta: 18:11:02, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9894, loss_cls: 2.2760, loss: 2.2760 2023-12-23 09:07:58,348 - pyskl - INFO - Epoch [24][700/1281] lr: 2.351e-02, eta: 18:10:32, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9856, loss_cls: 2.2255, loss: 2.2255 2023-12-23 09:08:41,428 - pyskl - INFO - Epoch [24][800/1281] lr: 2.350e-02, eta: 18:10:05, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9875, loss_cls: 2.2654, loss: 2.2654 2023-12-23 09:09:25,369 - pyskl - INFO - Epoch [24][900/1281] lr: 2.349e-02, eta: 18:09:44, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8169, top5_acc: 0.9919, loss_cls: 2.2475, loss: 2.2475 2023-12-23 09:10:09,572 - pyskl - INFO - Epoch [24][1000/1281] lr: 2.348e-02, eta: 18:09:24, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8113, top5_acc: 0.9888, loss_cls: 2.2905, loss: 2.2905 2023-12-23 09:10:53,101 - pyskl - INFO - Epoch [24][1100/1281] lr: 2.347e-02, eta: 18:09:00, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8013, top5_acc: 0.9838, loss_cls: 2.3026, loss: 2.3026 2023-12-23 09:11:35,104 - pyskl - INFO - Epoch [24][1200/1281] lr: 2.346e-02, eta: 18:08:27, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8131, top5_acc: 0.9862, loss_cls: 2.2746, loss: 2.2746 2023-12-23 09:12:09,990 - pyskl - INFO - Saving checkpoint at 24 epochs 2023-12-23 09:13:14,527 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:13:14,592 - pyskl - INFO - top1_acc 0.7512 top5_acc 0.9730 2023-12-23 09:13:14,592 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:13:14,600 - pyskl - INFO - mean_acc 0.7153 2023-12-23 09:13:14,603 - pyskl - INFO - Epoch(val) [24][533] top1_acc: 0.7512, top5_acc: 0.9730, mean_class_accuracy: 0.7153 2023-12-23 09:14:04,860 - pyskl - INFO - Epoch [25][100/1281] lr: 2.344e-02, eta: 18:05:14, time: 0.503, data_time: 0.225, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9931, loss_cls: 2.2027, loss: 2.2027 2023-12-23 09:14:47,457 - pyskl - INFO - Epoch [25][200/1281] lr: 2.343e-02, eta: 18:04:45, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8231, top5_acc: 0.9900, loss_cls: 2.2397, loss: 2.2397 2023-12-23 09:15:29,831 - pyskl - INFO - Epoch [25][300/1281] lr: 2.342e-02, eta: 18:04:15, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9894, loss_cls: 2.2547, loss: 2.2547 2023-12-23 09:16:11,705 - pyskl - INFO - Epoch [25][400/1281] lr: 2.341e-02, eta: 18:03:43, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9881, loss_cls: 2.2684, loss: 2.2684 2023-12-23 09:16:53,894 - pyskl - INFO - Epoch [25][500/1281] lr: 2.340e-02, eta: 18:03:12, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8169, top5_acc: 0.9881, loss_cls: 2.2739, loss: 2.2739 2023-12-23 09:17:36,727 - pyskl - INFO - Epoch [25][600/1281] lr: 2.339e-02, eta: 18:02:44, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9925, loss_cls: 2.2275, loss: 2.2275 2023-12-23 09:18:19,063 - pyskl - INFO - Epoch [25][700/1281] lr: 2.338e-02, eta: 18:02:13, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8287, top5_acc: 0.9844, loss_cls: 2.2463, loss: 2.2463 2023-12-23 09:19:01,538 - pyskl - INFO - Epoch [25][800/1281] lr: 2.337e-02, eta: 18:01:43, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9944, loss_cls: 2.2014, loss: 2.2014 2023-12-23 09:19:43,811 - pyskl - INFO - Epoch [25][900/1281] lr: 2.336e-02, eta: 18:01:12, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9919, loss_cls: 2.2081, loss: 2.2081 2023-12-23 09:20:26,555 - pyskl - INFO - Epoch [25][1000/1281] lr: 2.335e-02, eta: 18:00:44, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9881, loss_cls: 2.2471, loss: 2.2471 2023-12-23 09:21:10,699 - pyskl - INFO - Epoch [25][1100/1281] lr: 2.334e-02, eta: 18:00:22, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8056, top5_acc: 0.9900, loss_cls: 2.2462, loss: 2.2462 2023-12-23 09:21:54,942 - pyskl - INFO - Epoch [25][1200/1281] lr: 2.333e-02, eta: 18:00:01, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9856, loss_cls: 2.2598, loss: 2.2598 2023-12-23 09:22:31,624 - pyskl - INFO - Saving checkpoint at 25 epochs 2023-12-23 09:23:36,017 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:23:36,086 - pyskl - INFO - top1_acc 0.7246 top5_acc 0.9470 2023-12-23 09:23:36,086 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:23:36,095 - pyskl - INFO - mean_acc 0.6428 2023-12-23 09:23:36,098 - pyskl - INFO - Epoch(val) [25][533] top1_acc: 0.7246, top5_acc: 0.9470, mean_class_accuracy: 0.6428 2023-12-23 09:24:21,925 - pyskl - INFO - Epoch [26][100/1281] lr: 2.332e-02, eta: 17:56:31, time: 0.458, data_time: 0.191, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9881, loss_cls: 2.1598, loss: 2.1598 2023-12-23 09:25:04,130 - pyskl - INFO - Epoch [26][200/1281] lr: 2.330e-02, eta: 17:56:00, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8294, top5_acc: 0.9950, loss_cls: 2.2095, loss: 2.2095 2023-12-23 09:25:47,051 - pyskl - INFO - Epoch [26][300/1281] lr: 2.329e-02, eta: 17:55:32, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9925, loss_cls: 2.1433, loss: 2.1433 2023-12-23 09:26:31,462 - pyskl - INFO - Epoch [26][400/1281] lr: 2.328e-02, eta: 17:55:11, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9950, loss_cls: 2.2104, loss: 2.2104 2023-12-23 09:27:15,986 - pyskl - INFO - Epoch [26][500/1281] lr: 2.327e-02, eta: 17:54:51, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9862, loss_cls: 2.2731, loss: 2.2731 2023-12-23 09:27:59,589 - pyskl - INFO - Epoch [26][600/1281] lr: 2.326e-02, eta: 17:54:27, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9919, loss_cls: 2.2297, loss: 2.2297 2023-12-23 09:28:42,101 - pyskl - INFO - Epoch [26][700/1281] lr: 2.325e-02, eta: 17:53:56, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9925, loss_cls: 2.1633, loss: 2.1633 2023-12-23 09:29:25,855 - pyskl - INFO - Epoch [26][800/1281] lr: 2.324e-02, eta: 17:53:32, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8219, top5_acc: 0.9888, loss_cls: 2.2304, loss: 2.2304 2023-12-23 09:30:08,887 - pyskl - INFO - Epoch [26][900/1281] lr: 2.323e-02, eta: 17:53:04, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8119, top5_acc: 0.9856, loss_cls: 2.2730, loss: 2.2730 2023-12-23 09:30:52,220 - pyskl - INFO - Epoch [26][1000/1281] lr: 2.322e-02, eta: 17:52:38, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7906, top5_acc: 0.9881, loss_cls: 2.3141, loss: 2.3141 2023-12-23 09:31:34,935 - pyskl - INFO - Epoch [26][1100/1281] lr: 2.321e-02, eta: 17:52:08, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8287, top5_acc: 0.9888, loss_cls: 2.2206, loss: 2.2206 2023-12-23 09:32:16,887 - pyskl - INFO - Epoch [26][1200/1281] lr: 2.320e-02, eta: 17:51:35, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9938, loss_cls: 2.1817, loss: 2.1817 2023-12-23 09:32:52,151 - pyskl - INFO - Saving checkpoint at 26 epochs 2023-12-23 09:33:55,149 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:33:55,221 - pyskl - INFO - top1_acc 0.8109 top5_acc 0.9831 2023-12-23 09:33:55,221 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:33:55,234 - pyskl - INFO - mean_acc 0.7385 2023-12-23 09:33:55,248 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_20.pth was removed 2023-12-23 09:33:55,518 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. 2023-12-23 09:33:55,519 - pyskl - INFO - Best top1_acc is 0.8109 at 26 epoch. 2023-12-23 09:33:55,522 - pyskl - INFO - Epoch(val) [26][533] top1_acc: 0.8109, top5_acc: 0.9831, mean_class_accuracy: 0.7385 2023-12-23 09:34:45,613 - pyskl - INFO - Epoch [27][100/1281] lr: 2.318e-02, eta: 17:48:32, time: 0.501, data_time: 0.225, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9900, loss_cls: 2.1100, loss: 2.1100 2023-12-23 09:35:29,752 - pyskl - INFO - Epoch [27][200/1281] lr: 2.317e-02, eta: 17:48:09, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9919, loss_cls: 2.2092, loss: 2.2092 2023-12-23 09:36:13,209 - pyskl - INFO - Epoch [27][300/1281] lr: 2.316e-02, eta: 17:47:43, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9925, loss_cls: 2.2125, loss: 2.2125 2023-12-23 09:36:57,151 - pyskl - INFO - Epoch [27][400/1281] lr: 2.315e-02, eta: 17:47:19, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9925, loss_cls: 2.1687, loss: 2.1687 2023-12-23 09:37:41,298 - pyskl - INFO - Epoch [27][500/1281] lr: 2.314e-02, eta: 17:46:56, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9912, loss_cls: 2.1440, loss: 2.1440 2023-12-23 09:38:24,795 - pyskl - INFO - Epoch [27][600/1281] lr: 2.313e-02, eta: 17:46:30, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9900, loss_cls: 2.2599, loss: 2.2599 2023-12-23 09:39:07,307 - pyskl - INFO - Epoch [27][700/1281] lr: 2.312e-02, eta: 17:46:00, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8206, top5_acc: 0.9888, loss_cls: 2.2600, loss: 2.2600 2023-12-23 09:39:49,753 - pyskl - INFO - Epoch [27][800/1281] lr: 2.311e-02, eta: 17:45:28, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9938, loss_cls: 2.1697, loss: 2.1697 2023-12-23 09:40:31,763 - pyskl - INFO - Epoch [27][900/1281] lr: 2.310e-02, eta: 17:44:55, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9912, loss_cls: 2.1753, loss: 2.1753 2023-12-23 09:41:14,085 - pyskl - INFO - Epoch [27][1000/1281] lr: 2.308e-02, eta: 17:44:23, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9881, loss_cls: 2.2495, loss: 2.2495 2023-12-23 09:41:56,560 - pyskl - INFO - Epoch [27][1100/1281] lr: 2.307e-02, eta: 17:43:52, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9881, loss_cls: 2.2118, loss: 2.2118 2023-12-23 09:42:40,397 - pyskl - INFO - Epoch [27][1200/1281] lr: 2.306e-02, eta: 17:43:27, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8231, top5_acc: 0.9862, loss_cls: 2.2601, loss: 2.2601 2023-12-23 09:43:17,169 - pyskl - INFO - Saving checkpoint at 27 epochs 2023-12-23 09:44:18,845 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:44:18,921 - pyskl - INFO - top1_acc 0.7729 top5_acc 0.9798 2023-12-23 09:44:18,922 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:44:18,934 - pyskl - INFO - mean_acc 0.7109 2023-12-23 09:44:18,939 - pyskl - INFO - Epoch(val) [27][533] top1_acc: 0.7729, top5_acc: 0.9798, mean_class_accuracy: 0.7109 2023-12-23 09:45:05,629 - pyskl - INFO - Epoch [28][100/1281] lr: 2.304e-02, eta: 17:40:13, time: 0.467, data_time: 0.202, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9931, loss_cls: 2.1657, loss: 2.1657 2023-12-23 09:45:48,895 - pyskl - INFO - Epoch [28][200/1281] lr: 2.303e-02, eta: 17:39:46, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9938, loss_cls: 2.1366, loss: 2.1366 2023-12-23 09:46:33,294 - pyskl - INFO - Epoch [28][300/1281] lr: 2.302e-02, eta: 17:39:23, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9962, loss_cls: 2.1903, loss: 2.1903 2023-12-23 09:47:17,233 - pyskl - INFO - Epoch [28][400/1281] lr: 2.301e-02, eta: 17:38:59, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9950, loss_cls: 2.1723, loss: 2.1723 2023-12-23 09:47:59,555 - pyskl - INFO - Epoch [28][500/1281] lr: 2.300e-02, eta: 17:38:27, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9900, loss_cls: 2.2585, loss: 2.2585 2023-12-23 09:48:41,549 - pyskl - INFO - Epoch [28][600/1281] lr: 2.299e-02, eta: 17:37:53, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9894, loss_cls: 2.2217, loss: 2.2217 2023-12-23 09:49:23,986 - pyskl - INFO - Epoch [28][700/1281] lr: 2.298e-02, eta: 17:37:21, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9881, loss_cls: 2.2082, loss: 2.2082 2023-12-23 09:50:08,161 - pyskl - INFO - Epoch [28][800/1281] lr: 2.297e-02, eta: 17:36:58, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8219, top5_acc: 0.9794, loss_cls: 2.2796, loss: 2.2796 2023-12-23 09:50:52,393 - pyskl - INFO - Epoch [28][900/1281] lr: 2.295e-02, eta: 17:36:34, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9938, loss_cls: 2.1291, loss: 2.1291 2023-12-23 09:51:36,636 - pyskl - INFO - Epoch [28][1000/1281] lr: 2.294e-02, eta: 17:36:10, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9912, loss_cls: 2.2059, loss: 2.2059 2023-12-23 09:52:19,797 - pyskl - INFO - Epoch [28][1100/1281] lr: 2.293e-02, eta: 17:35:41, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9894, loss_cls: 2.1783, loss: 2.1783 2023-12-23 09:53:03,538 - pyskl - INFO - Epoch [28][1200/1281] lr: 2.292e-02, eta: 17:35:15, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9906, loss_cls: 2.1925, loss: 2.1925 2023-12-23 09:53:40,138 - pyskl - INFO - Saving checkpoint at 28 epochs 2023-12-23 09:54:42,296 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:54:42,380 - pyskl - INFO - top1_acc 0.7296 top5_acc 0.9662 2023-12-23 09:54:42,380 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:54:42,391 - pyskl - INFO - mean_acc 0.6898 2023-12-23 09:54:42,395 - pyskl - INFO - Epoch(val) [28][533] top1_acc: 0.7296, top5_acc: 0.9662, mean_class_accuracy: 0.6898 2023-12-23 09:55:32,215 - pyskl - INFO - Epoch [29][100/1281] lr: 2.290e-02, eta: 17:32:20, time: 0.498, data_time: 0.229, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9931, loss_cls: 2.2594, loss: 2.2594 2023-12-23 09:56:15,376 - pyskl - INFO - Epoch [29][200/1281] lr: 2.289e-02, eta: 17:31:51, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9919, loss_cls: 2.1661, loss: 2.1661 2023-12-23 09:56:59,003 - pyskl - INFO - Epoch [29][300/1281] lr: 2.288e-02, eta: 17:31:24, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9912, loss_cls: 2.1185, loss: 2.1185 2023-12-23 09:57:42,226 - pyskl - INFO - Epoch [29][400/1281] lr: 2.287e-02, eta: 17:30:56, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9862, loss_cls: 2.2410, loss: 2.2410 2023-12-23 09:58:24,711 - pyskl - INFO - Epoch [29][500/1281] lr: 2.285e-02, eta: 17:30:24, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9881, loss_cls: 2.1467, loss: 2.1467 2023-12-23 09:59:07,005 - pyskl - INFO - Epoch [29][600/1281] lr: 2.284e-02, eta: 17:29:52, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9931, loss_cls: 2.0872, loss: 2.0872 2023-12-23 09:59:50,861 - pyskl - INFO - Epoch [29][700/1281] lr: 2.283e-02, eta: 17:29:26, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9906, loss_cls: 2.1709, loss: 2.1709 2023-12-23 10:00:34,230 - pyskl - INFO - Epoch [29][800/1281] lr: 2.282e-02, eta: 17:28:57, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9875, loss_cls: 2.1622, loss: 2.1622 2023-12-23 10:01:18,529 - pyskl - INFO - Epoch [29][900/1281] lr: 2.281e-02, eta: 17:28:33, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9906, loss_cls: 2.2323, loss: 2.2323 2023-12-23 10:02:02,979 - pyskl - INFO - Epoch [29][1000/1281] lr: 2.280e-02, eta: 17:28:09, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9900, loss_cls: 2.2261, loss: 2.2261 2023-12-23 10:02:47,457 - pyskl - INFO - Epoch [29][1100/1281] lr: 2.279e-02, eta: 17:27:45, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9931, loss_cls: 2.1883, loss: 2.1883 2023-12-23 10:03:31,507 - pyskl - INFO - Epoch [29][1200/1281] lr: 2.277e-02, eta: 17:27:20, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9844, loss_cls: 2.2921, loss: 2.2921 2023-12-23 10:04:07,235 - pyskl - INFO - Saving checkpoint at 29 epochs 2023-12-23 10:05:02,056 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:05:02,127 - pyskl - INFO - top1_acc 0.7719 top5_acc 0.9771 2023-12-23 10:05:02,128 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:05:02,139 - pyskl - INFO - mean_acc 0.7175 2023-12-23 10:05:02,142 - pyskl - INFO - Epoch(val) [29][533] top1_acc: 0.7719, top5_acc: 0.9771, mean_class_accuracy: 0.7175 2023-12-23 10:05:50,209 - pyskl - INFO - Epoch [30][100/1281] lr: 2.275e-02, eta: 17:24:21, time: 0.481, data_time: 0.230, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9912, loss_cls: 2.1135, loss: 2.1135 2023-12-23 10:06:32,849 - pyskl - INFO - Epoch [30][200/1281] lr: 2.274e-02, eta: 17:23:50, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9919, loss_cls: 2.1190, loss: 2.1190 2023-12-23 10:07:15,336 - pyskl - INFO - Epoch [30][300/1281] lr: 2.273e-02, eta: 17:23:18, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9931, loss_cls: 2.1525, loss: 2.1525 2023-12-23 10:07:57,730 - pyskl - INFO - Epoch [30][400/1281] lr: 2.272e-02, eta: 17:22:45, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9931, loss_cls: 2.1347, loss: 2.1347 2023-12-23 10:08:39,737 - pyskl - INFO - Epoch [30][500/1281] lr: 2.271e-02, eta: 17:22:11, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9919, loss_cls: 2.1630, loss: 2.1630 2023-12-23 10:09:22,242 - pyskl - INFO - Epoch [30][600/1281] lr: 2.269e-02, eta: 17:21:39, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9888, loss_cls: 2.1790, loss: 2.1790 2023-12-23 10:10:04,817 - pyskl - INFO - Epoch [30][700/1281] lr: 2.268e-02, eta: 17:21:07, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8119, top5_acc: 0.9881, loss_cls: 2.2522, loss: 2.2522 2023-12-23 10:10:48,113 - pyskl - INFO - Epoch [30][800/1281] lr: 2.267e-02, eta: 17:20:38, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9956, loss_cls: 2.1100, loss: 2.1100 2023-12-23 10:11:32,327 - pyskl - INFO - Epoch [30][900/1281] lr: 2.266e-02, eta: 17:20:12, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9938, loss_cls: 2.0591, loss: 2.0591 2023-12-23 10:12:15,734 - pyskl - INFO - Epoch [30][1000/1281] lr: 2.265e-02, eta: 17:19:44, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9912, loss_cls: 2.2463, loss: 2.2463 2023-12-23 10:12:57,963 - pyskl - INFO - Epoch [30][1100/1281] lr: 2.263e-02, eta: 17:19:10, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9894, loss_cls: 2.2283, loss: 2.2283 2023-12-23 10:13:40,288 - pyskl - INFO - Epoch [30][1200/1281] lr: 2.262e-02, eta: 17:18:37, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9862, loss_cls: 2.2170, loss: 2.2170 2023-12-23 10:14:15,744 - pyskl - INFO - Saving checkpoint at 30 epochs 2023-12-23 10:15:16,454 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:15:16,522 - pyskl - INFO - top1_acc 0.7830 top5_acc 0.9785 2023-12-23 10:15:16,522 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:15:16,538 - pyskl - INFO - mean_acc 0.7386 2023-12-23 10:15:16,548 - pyskl - INFO - Epoch(val) [30][533] top1_acc: 0.7830, top5_acc: 0.9785, mean_class_accuracy: 0.7386 2023-12-23 10:16:01,860 - pyskl - INFO - Epoch [31][100/1281] lr: 2.260e-02, eta: 17:15:32, time: 0.453, data_time: 0.211, memory: 4120, top1_acc: 0.8275, top5_acc: 0.9906, loss_cls: 2.1902, loss: 2.1902 2023-12-23 10:16:46,190 - pyskl - INFO - Epoch [31][200/1281] lr: 2.259e-02, eta: 17:15:07, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9944, loss_cls: 2.1358, loss: 2.1358 2023-12-23 10:17:29,579 - pyskl - INFO - Epoch [31][300/1281] lr: 2.258e-02, eta: 17:14:38, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9894, loss_cls: 2.1428, loss: 2.1428 2023-12-23 10:18:11,978 - pyskl - INFO - Epoch [31][400/1281] lr: 2.256e-02, eta: 17:14:05, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9956, loss_cls: 2.1839, loss: 2.1839 2023-12-23 10:18:54,580 - pyskl - INFO - Epoch [31][500/1281] lr: 2.255e-02, eta: 17:13:33, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9931, loss_cls: 2.1759, loss: 2.1759 2023-12-23 10:19:37,075 - pyskl - INFO - Epoch [31][600/1281] lr: 2.254e-02, eta: 17:13:00, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9894, loss_cls: 2.1945, loss: 2.1945 2023-12-23 10:20:20,567 - pyskl - INFO - Epoch [31][700/1281] lr: 2.253e-02, eta: 17:12:32, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9919, loss_cls: 2.1700, loss: 2.1700 2023-12-23 10:21:03,091 - pyskl - INFO - Epoch [31][800/1281] lr: 2.252e-02, eta: 17:11:59, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9862, loss_cls: 2.1285, loss: 2.1285 2023-12-23 10:21:45,772 - pyskl - INFO - Epoch [31][900/1281] lr: 2.250e-02, eta: 17:11:27, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9862, loss_cls: 2.1562, loss: 2.1562 2023-12-23 10:22:29,029 - pyskl - INFO - Epoch [31][1000/1281] lr: 2.249e-02, eta: 17:10:57, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8163, top5_acc: 0.9900, loss_cls: 2.1912, loss: 2.1912 2023-12-23 10:23:12,121 - pyskl - INFO - Epoch [31][1100/1281] lr: 2.248e-02, eta: 17:10:27, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9931, loss_cls: 2.1047, loss: 2.1047 2023-12-23 10:23:54,537 - pyskl - INFO - Epoch [31][1200/1281] lr: 2.247e-02, eta: 17:09:54, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9925, loss_cls: 2.1378, loss: 2.1378 2023-12-23 10:24:29,394 - pyskl - INFO - Saving checkpoint at 31 epochs 2023-12-23 10:25:27,489 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:25:27,562 - pyskl - INFO - top1_acc 0.7843 top5_acc 0.9744 2023-12-23 10:25:27,563 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:25:27,579 - pyskl - INFO - mean_acc 0.6972 2023-12-23 10:25:27,586 - pyskl - INFO - Epoch(val) [31][533] top1_acc: 0.7843, top5_acc: 0.9744, mean_class_accuracy: 0.6972 2023-12-23 10:26:16,754 - pyskl - INFO - Epoch [32][100/1281] lr: 2.244e-02, eta: 17:07:08, time: 0.492, data_time: 0.230, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9944, loss_cls: 2.1894, loss: 2.1894 2023-12-23 10:26:59,962 - pyskl - INFO - Epoch [32][200/1281] lr: 2.243e-02, eta: 17:06:38, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9900, loss_cls: 2.1674, loss: 2.1674 2023-12-23 10:27:42,363 - pyskl - INFO - Epoch [32][300/1281] lr: 2.242e-02, eta: 17:06:05, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9925, loss_cls: 2.1266, loss: 2.1266 2023-12-23 10:28:24,811 - pyskl - INFO - Epoch [32][400/1281] lr: 2.241e-02, eta: 17:05:32, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9944, loss_cls: 2.1892, loss: 2.1892 2023-12-23 10:29:07,682 - pyskl - INFO - Epoch [32][500/1281] lr: 2.239e-02, eta: 17:05:00, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9900, loss_cls: 2.1795, loss: 2.1795 2023-12-23 10:29:50,210 - pyskl - INFO - Epoch [32][600/1281] lr: 2.238e-02, eta: 17:04:28, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9944, loss_cls: 2.1112, loss: 2.1112 2023-12-23 10:30:32,861 - pyskl - INFO - Epoch [32][700/1281] lr: 2.237e-02, eta: 17:03:55, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9944, loss_cls: 2.1498, loss: 2.1498 2023-12-23 10:31:17,023 - pyskl - INFO - Epoch [32][800/1281] lr: 2.236e-02, eta: 17:03:28, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9875, loss_cls: 2.2221, loss: 2.2221 2023-12-23 10:32:01,092 - pyskl - INFO - Epoch [32][900/1281] lr: 2.234e-02, eta: 17:03:01, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8500, top5_acc: 0.9906, loss_cls: 2.1097, loss: 2.1097 2023-12-23 10:32:44,534 - pyskl - INFO - Epoch [32][1000/1281] lr: 2.233e-02, eta: 17:02:32, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9919, loss_cls: 2.1764, loss: 2.1764 2023-12-23 10:33:28,870 - pyskl - INFO - Epoch [32][1100/1281] lr: 2.232e-02, eta: 17:02:05, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9906, loss_cls: 2.1315, loss: 2.1315 2023-12-23 10:34:13,150 - pyskl - INFO - Epoch [32][1200/1281] lr: 2.231e-02, eta: 17:01:39, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9912, loss_cls: 2.1052, loss: 2.1052 2023-12-23 10:34:50,012 - pyskl - INFO - Saving checkpoint at 32 epochs 2023-12-23 10:35:52,346 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:35:52,413 - pyskl - INFO - top1_acc 0.7987 top5_acc 0.9820 2023-12-23 10:35:52,413 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:35:52,423 - pyskl - INFO - mean_acc 0.7453 2023-12-23 10:35:52,427 - pyskl - INFO - Epoch(val) [32][533] top1_acc: 0.7987, top5_acc: 0.9820, mean_class_accuracy: 0.7453 2023-12-23 10:36:34,738 - pyskl - INFO - Epoch [33][100/1281] lr: 2.228e-02, eta: 16:58:31, time: 0.423, data_time: 0.186, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9931, loss_cls: 2.1351, loss: 2.1351 2023-12-23 10:37:18,536 - pyskl - INFO - Epoch [33][200/1281] lr: 2.227e-02, eta: 16:58:03, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9881, loss_cls: 2.2252, loss: 2.2252 2023-12-23 10:38:01,583 - pyskl - INFO - Epoch [33][300/1281] lr: 2.226e-02, eta: 16:57:32, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9938, loss_cls: 2.1525, loss: 2.1525 2023-12-23 10:38:44,124 - pyskl - INFO - Epoch [33][400/1281] lr: 2.225e-02, eta: 16:56:59, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9919, loss_cls: 2.1033, loss: 2.1033 2023-12-23 10:39:26,489 - pyskl - INFO - Epoch [33][500/1281] lr: 2.223e-02, eta: 16:56:25, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9919, loss_cls: 2.1184, loss: 2.1184 2023-12-23 10:40:08,509 - pyskl - INFO - Epoch [33][600/1281] lr: 2.222e-02, eta: 16:55:50, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9888, loss_cls: 2.1511, loss: 2.1511 2023-12-23 10:40:51,367 - pyskl - INFO - Epoch [33][700/1281] lr: 2.221e-02, eta: 16:55:19, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9950, loss_cls: 2.0746, loss: 2.0746 2023-12-23 10:41:35,549 - pyskl - INFO - Epoch [33][800/1281] lr: 2.219e-02, eta: 16:54:51, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9925, loss_cls: 2.1288, loss: 2.1288 2023-12-23 10:42:18,155 - pyskl - INFO - Epoch [33][900/1281] lr: 2.218e-02, eta: 16:54:18, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9919, loss_cls: 2.1265, loss: 2.1265 2023-12-23 10:43:01,536 - pyskl - INFO - Epoch [33][1000/1281] lr: 2.217e-02, eta: 16:53:48, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9925, loss_cls: 2.1052, loss: 2.1052 2023-12-23 10:43:44,594 - pyskl - INFO - Epoch [33][1100/1281] lr: 2.216e-02, eta: 16:53:17, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9894, loss_cls: 2.2266, loss: 2.2266 2023-12-23 10:44:26,738 - pyskl - INFO - Epoch [33][1200/1281] lr: 2.214e-02, eta: 16:52:42, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9925, loss_cls: 2.1953, loss: 2.1953 2023-12-23 10:45:02,020 - pyskl - INFO - Saving checkpoint at 33 epochs 2023-12-23 10:46:02,808 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:46:02,866 - pyskl - INFO - top1_acc 0.7377 top5_acc 0.9474 2023-12-23 10:46:02,866 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:46:02,874 - pyskl - INFO - mean_acc 0.6873 2023-12-23 10:46:02,876 - pyskl - INFO - Epoch(val) [33][533] top1_acc: 0.7377, top5_acc: 0.9474, mean_class_accuracy: 0.6873 2023-12-23 10:46:50,605 - pyskl - INFO - Epoch [34][100/1281] lr: 2.212e-02, eta: 16:49:58, time: 0.477, data_time: 0.226, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9931, loss_cls: 2.1252, loss: 2.1252 2023-12-23 10:47:34,209 - pyskl - INFO - Epoch [34][200/1281] lr: 2.211e-02, eta: 16:49:29, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9912, loss_cls: 2.1483, loss: 2.1483 2023-12-23 10:48:16,216 - pyskl - INFO - Epoch [34][300/1281] lr: 2.209e-02, eta: 16:48:54, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9950, loss_cls: 2.1285, loss: 2.1285 2023-12-23 10:48:58,432 - pyskl - INFO - Epoch [34][400/1281] lr: 2.208e-02, eta: 16:48:19, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9894, loss_cls: 2.1103, loss: 2.1103 2023-12-23 10:49:40,992 - pyskl - INFO - Epoch [34][500/1281] lr: 2.207e-02, eta: 16:47:46, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8381, top5_acc: 0.9856, loss_cls: 2.1829, loss: 2.1829 2023-12-23 10:50:23,495 - pyskl - INFO - Epoch [34][600/1281] lr: 2.205e-02, eta: 16:47:13, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9869, loss_cls: 2.2249, loss: 2.2249 2023-12-23 10:51:06,511 - pyskl - INFO - Epoch [34][700/1281] lr: 2.204e-02, eta: 16:46:41, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9906, loss_cls: 2.1530, loss: 2.1530 2023-12-23 10:51:50,187 - pyskl - INFO - Epoch [34][800/1281] lr: 2.203e-02, eta: 16:46:12, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8381, top5_acc: 0.9956, loss_cls: 2.1534, loss: 2.1534 2023-12-23 10:52:33,340 - pyskl - INFO - Epoch [34][900/1281] lr: 2.201e-02, eta: 16:45:40, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9912, loss_cls: 2.1098, loss: 2.1098 2023-12-23 10:53:16,028 - pyskl - INFO - Epoch [34][1000/1281] lr: 2.200e-02, eta: 16:45:07, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8294, top5_acc: 0.9900, loss_cls: 2.1812, loss: 2.1812 2023-12-23 10:54:00,647 - pyskl - INFO - Epoch [34][1100/1281] lr: 2.199e-02, eta: 16:44:41, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9912, loss_cls: 2.1614, loss: 2.1614 2023-12-23 10:54:44,581 - pyskl - INFO - Epoch [34][1200/1281] lr: 2.197e-02, eta: 16:44:12, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9900, loss_cls: 2.1291, loss: 2.1291 2023-12-23 10:55:20,023 - pyskl - INFO - Saving checkpoint at 34 epochs 2023-12-23 10:56:20,115 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:56:20,177 - pyskl - INFO - top1_acc 0.8067 top5_acc 0.9791 2023-12-23 10:56:20,177 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:56:20,186 - pyskl - INFO - mean_acc 0.7567 2023-12-23 10:56:20,190 - pyskl - INFO - Epoch(val) [34][533] top1_acc: 0.8067, top5_acc: 0.9791, mean_class_accuracy: 0.7567 2023-12-23 10:57:09,498 - pyskl - INFO - Epoch [35][100/1281] lr: 2.195e-02, eta: 16:41:37, time: 0.493, data_time: 0.216, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9944, loss_cls: 2.1276, loss: 2.1276 2023-12-23 10:57:52,370 - pyskl - INFO - Epoch [35][200/1281] lr: 2.194e-02, eta: 16:41:04, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9969, loss_cls: 2.0636, loss: 2.0636 2023-12-23 10:58:35,270 - pyskl - INFO - Epoch [35][300/1281] lr: 2.192e-02, eta: 16:40:32, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9900, loss_cls: 2.1480, loss: 2.1480 2023-12-23 10:59:18,889 - pyskl - INFO - Epoch [35][400/1281] lr: 2.191e-02, eta: 16:40:02, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9931, loss_cls: 2.1737, loss: 2.1737 2023-12-23 11:00:00,878 - pyskl - INFO - Epoch [35][500/1281] lr: 2.190e-02, eta: 16:39:27, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9900, loss_cls: 2.1806, loss: 2.1806 2023-12-23 11:00:43,197 - pyskl - INFO - Epoch [35][600/1281] lr: 2.188e-02, eta: 16:38:52, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9919, loss_cls: 2.1478, loss: 2.1478 2023-12-23 11:01:26,042 - pyskl - INFO - Epoch [35][700/1281] lr: 2.187e-02, eta: 16:38:20, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9950, loss_cls: 2.1075, loss: 2.1075 2023-12-23 11:02:11,060 - pyskl - INFO - Epoch [35][800/1281] lr: 2.185e-02, eta: 16:37:54, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9950, loss_cls: 2.1192, loss: 2.1192 2023-12-23 11:02:55,477 - pyskl - INFO - Epoch [35][900/1281] lr: 2.184e-02, eta: 16:37:27, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.8400, top5_acc: 0.9925, loss_cls: 2.1680, loss: 2.1680 2023-12-23 11:03:39,440 - pyskl - INFO - Epoch [35][1000/1281] lr: 2.183e-02, eta: 16:36:58, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9919, loss_cls: 2.0780, loss: 2.0780 2023-12-23 11:04:21,903 - pyskl - INFO - Epoch [35][1100/1281] lr: 2.181e-02, eta: 16:36:23, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9906, loss_cls: 2.1499, loss: 2.1499 2023-12-23 11:05:05,122 - pyskl - INFO - Epoch [35][1200/1281] lr: 2.180e-02, eta: 16:35:52, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8500, top5_acc: 0.9919, loss_cls: 2.1620, loss: 2.1620 2023-12-23 11:05:42,000 - pyskl - INFO - Saving checkpoint at 35 epochs 2023-12-23 11:06:44,230 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:06:44,296 - pyskl - INFO - top1_acc 0.8168 top5_acc 0.9796 2023-12-23 11:06:44,297 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:06:44,312 - pyskl - INFO - mean_acc 0.7586 2023-12-23 11:06:44,322 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_26.pth was removed 2023-12-23 11:06:44,567 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth. 2023-12-23 11:06:44,568 - pyskl - INFO - Best top1_acc is 0.8168 at 35 epoch. 2023-12-23 11:06:44,570 - pyskl - INFO - Epoch(val) [35][533] top1_acc: 0.8168, top5_acc: 0.9796, mean_class_accuracy: 0.7586 2023-12-23 11:07:35,139 - pyskl - INFO - Epoch [36][100/1281] lr: 2.178e-02, eta: 16:33:24, time: 0.506, data_time: 0.228, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9938, loss_cls: 2.0466, loss: 2.0466 2023-12-23 11:08:18,992 - pyskl - INFO - Epoch [36][200/1281] lr: 2.176e-02, eta: 16:32:54, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9919, loss_cls: 2.0952, loss: 2.0952 2023-12-23 11:09:02,965 - pyskl - INFO - Epoch [36][300/1281] lr: 2.175e-02, eta: 16:32:25, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9938, loss_cls: 2.1305, loss: 2.1305 2023-12-23 11:09:46,989 - pyskl - INFO - Epoch [36][400/1281] lr: 2.173e-02, eta: 16:31:56, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9938, loss_cls: 2.1218, loss: 2.1218 2023-12-23 11:10:29,914 - pyskl - INFO - Epoch [36][500/1281] lr: 2.172e-02, eta: 16:31:23, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9956, loss_cls: 2.1163, loss: 2.1163 2023-12-23 11:11:14,306 - pyskl - INFO - Epoch [36][600/1281] lr: 2.171e-02, eta: 16:30:55, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9919, loss_cls: 2.1702, loss: 2.1702 2023-12-23 11:11:57,820 - pyskl - INFO - Epoch [36][700/1281] lr: 2.169e-02, eta: 16:30:24, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9944, loss_cls: 2.1279, loss: 2.1279 2023-12-23 11:12:41,649 - pyskl - INFO - Epoch [36][800/1281] lr: 2.168e-02, eta: 16:29:54, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9944, loss_cls: 2.1244, loss: 2.1244 2023-12-23 11:13:26,057 - pyskl - INFO - Epoch [36][900/1281] lr: 2.167e-02, eta: 16:29:26, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9906, loss_cls: 2.0619, loss: 2.0619 2023-12-23 11:14:10,587 - pyskl - INFO - Epoch [36][1000/1281] lr: 2.165e-02, eta: 16:28:58, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9900, loss_cls: 2.1085, loss: 2.1085 2023-12-23 11:14:53,649 - pyskl - INFO - Epoch [36][1100/1281] lr: 2.164e-02, eta: 16:28:26, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9956, loss_cls: 2.0807, loss: 2.0807 2023-12-23 11:15:35,667 - pyskl - INFO - Epoch [36][1200/1281] lr: 2.162e-02, eta: 16:27:50, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9888, loss_cls: 2.1537, loss: 2.1537 2023-12-23 11:16:11,081 - pyskl - INFO - Saving checkpoint at 36 epochs 2023-12-23 11:17:11,762 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:17:11,834 - pyskl - INFO - top1_acc 0.8073 top5_acc 0.9829 2023-12-23 11:17:11,835 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:17:11,848 - pyskl - INFO - mean_acc 0.7555 2023-12-23 11:17:11,853 - pyskl - INFO - Epoch(val) [36][533] top1_acc: 0.8073, top5_acc: 0.9829, mean_class_accuracy: 0.7555 2023-12-23 11:18:02,251 - pyskl - INFO - Epoch [37][100/1281] lr: 2.160e-02, eta: 16:25:24, time: 0.504, data_time: 0.226, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9925, loss_cls: 2.0772, loss: 2.0772 2023-12-23 11:18:46,218 - pyskl - INFO - Epoch [37][200/1281] lr: 2.158e-02, eta: 16:24:54, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9944, loss_cls: 2.0830, loss: 2.0830 2023-12-23 11:19:28,393 - pyskl - INFO - Epoch [37][300/1281] lr: 2.157e-02, eta: 16:24:19, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9950, loss_cls: 2.0390, loss: 2.0390 2023-12-23 11:20:10,742 - pyskl - INFO - Epoch [37][400/1281] lr: 2.156e-02, eta: 16:23:44, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9956, loss_cls: 2.0988, loss: 2.0988 2023-12-23 11:20:53,612 - pyskl - INFO - Epoch [37][500/1281] lr: 2.154e-02, eta: 16:23:11, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9919, loss_cls: 2.0711, loss: 2.0711 2023-12-23 11:21:37,803 - pyskl - INFO - Epoch [37][600/1281] lr: 2.153e-02, eta: 16:22:42, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9906, loss_cls: 2.1161, loss: 2.1161 2023-12-23 11:22:21,917 - pyskl - INFO - Epoch [37][700/1281] lr: 2.151e-02, eta: 16:22:12, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9962, loss_cls: 2.0380, loss: 2.0380 2023-12-23 11:23:04,221 - pyskl - INFO - Epoch [37][800/1281] lr: 2.150e-02, eta: 16:21:37, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9931, loss_cls: 2.0965, loss: 2.0965 2023-12-23 11:23:46,547 - pyskl - INFO - Epoch [37][900/1281] lr: 2.149e-02, eta: 16:21:02, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9912, loss_cls: 2.1186, loss: 2.1186 2023-12-23 11:24:28,909 - pyskl - INFO - Epoch [37][1000/1281] lr: 2.147e-02, eta: 16:20:27, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9906, loss_cls: 2.2168, loss: 2.2168 2023-12-23 11:25:11,161 - pyskl - INFO - Epoch [37][1100/1281] lr: 2.146e-02, eta: 16:19:51, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9925, loss_cls: 2.1104, loss: 2.1104 2023-12-23 11:25:53,610 - pyskl - INFO - Epoch [37][1200/1281] lr: 2.144e-02, eta: 16:19:17, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9894, loss_cls: 2.1720, loss: 2.1720 2023-12-23 11:26:30,324 - pyskl - INFO - Saving checkpoint at 37 epochs 2023-12-23 11:27:31,936 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:27:32,017 - pyskl - INFO - top1_acc 0.8127 top5_acc 0.9863 2023-12-23 11:27:32,017 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:27:32,025 - pyskl - INFO - mean_acc 0.7582 2023-12-23 11:27:32,028 - pyskl - INFO - Epoch(val) [37][533] top1_acc: 0.8127, top5_acc: 0.9863, mean_class_accuracy: 0.7582 2023-12-23 11:28:25,161 - pyskl - INFO - Epoch [38][100/1281] lr: 2.142e-02, eta: 16:17:01, time: 0.531, data_time: 0.231, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9938, loss_cls: 2.1150, loss: 2.1150 2023-12-23 11:29:07,935 - pyskl - INFO - Epoch [38][200/1281] lr: 2.140e-02, eta: 16:16:28, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9912, loss_cls: 2.1183, loss: 2.1183 2023-12-23 11:29:50,544 - pyskl - INFO - Epoch [38][300/1281] lr: 2.139e-02, eta: 16:15:53, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9944, loss_cls: 2.0298, loss: 2.0298 2023-12-23 11:30:32,897 - pyskl - INFO - Epoch [38][400/1281] lr: 2.137e-02, eta: 16:15:18, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9925, loss_cls: 2.0340, loss: 2.0340 2023-12-23 11:31:15,353 - pyskl - INFO - Epoch [38][500/1281] lr: 2.136e-02, eta: 16:14:44, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9919, loss_cls: 2.1987, loss: 2.1987 2023-12-23 11:31:59,691 - pyskl - INFO - Epoch [38][600/1281] lr: 2.134e-02, eta: 16:14:14, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9938, loss_cls: 2.1052, loss: 2.1052 2023-12-23 11:32:43,961 - pyskl - INFO - Epoch [38][700/1281] lr: 2.133e-02, eta: 16:13:45, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9912, loss_cls: 2.1405, loss: 2.1405 2023-12-23 11:33:28,261 - pyskl - INFO - Epoch [38][800/1281] lr: 2.132e-02, eta: 16:13:16, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8500, top5_acc: 0.9900, loss_cls: 2.1424, loss: 2.1424 2023-12-23 11:34:12,464 - pyskl - INFO - Epoch [38][900/1281] lr: 2.130e-02, eta: 16:12:46, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9938, loss_cls: 2.0198, loss: 2.0198 2023-12-23 11:34:55,040 - pyskl - INFO - Epoch [38][1000/1281] lr: 2.129e-02, eta: 16:12:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9900, loss_cls: 2.1721, loss: 2.1721 2023-12-23 11:35:37,472 - pyskl - INFO - Epoch [38][1100/1281] lr: 2.127e-02, eta: 16:11:36, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9925, loss_cls: 2.0697, loss: 2.0697 2023-12-23 11:36:21,179 - pyskl - INFO - Epoch [38][1200/1281] lr: 2.126e-02, eta: 16:11:05, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9888, loss_cls: 2.1934, loss: 2.1934 2023-12-23 11:36:56,374 - pyskl - INFO - Saving checkpoint at 38 epochs 2023-12-23 11:38:01,816 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:38:01,887 - pyskl - INFO - top1_acc 0.8077 top5_acc 0.9823 2023-12-23 11:38:01,888 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:38:01,900 - pyskl - INFO - mean_acc 0.7509 2023-12-23 11:38:01,906 - pyskl - INFO - Epoch(val) [38][533] top1_acc: 0.8077, top5_acc: 0.9823, mean_class_accuracy: 0.7509 2023-12-23 11:38:53,797 - pyskl - INFO - Epoch [39][100/1281] lr: 2.123e-02, eta: 16:08:48, time: 0.519, data_time: 0.229, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9969, loss_cls: 1.9492, loss: 1.9492 2023-12-23 11:39:36,233 - pyskl - INFO - Epoch [39][200/1281] lr: 2.122e-02, eta: 16:08:13, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9944, loss_cls: 2.0755, loss: 2.0755 2023-12-23 11:40:18,873 - pyskl - INFO - Epoch [39][300/1281] lr: 2.120e-02, eta: 16:07:39, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9944, loss_cls: 2.0837, loss: 2.0837 2023-12-23 11:41:01,528 - pyskl - INFO - Epoch [39][400/1281] lr: 2.119e-02, eta: 16:07:04, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9931, loss_cls: 2.1271, loss: 2.1271 2023-12-23 11:41:46,217 - pyskl - INFO - Epoch [39][500/1281] lr: 2.117e-02, eta: 16:06:36, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9912, loss_cls: 2.1146, loss: 2.1146 2023-12-23 11:42:30,147 - pyskl - INFO - Epoch [39][600/1281] lr: 2.116e-02, eta: 16:06:05, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9950, loss_cls: 2.0488, loss: 2.0488 2023-12-23 11:43:14,080 - pyskl - INFO - Epoch [39][700/1281] lr: 2.114e-02, eta: 16:05:34, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9912, loss_cls: 2.1100, loss: 2.1100 2023-12-23 11:43:58,401 - pyskl - INFO - Epoch [39][800/1281] lr: 2.113e-02, eta: 16:05:04, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9906, loss_cls: 2.1045, loss: 2.1045 2023-12-23 11:44:40,891 - pyskl - INFO - Epoch [39][900/1281] lr: 2.111e-02, eta: 16:04:29, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9950, loss_cls: 2.0971, loss: 2.0971 2023-12-23 11:45:23,514 - pyskl - INFO - Epoch [39][1000/1281] lr: 2.110e-02, eta: 16:03:54, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9888, loss_cls: 2.1677, loss: 2.1677 2023-12-23 11:46:06,150 - pyskl - INFO - Epoch [39][1100/1281] lr: 2.108e-02, eta: 16:03:19, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9931, loss_cls: 2.0433, loss: 2.0433 2023-12-23 11:46:48,080 - pyskl - INFO - Epoch [39][1200/1281] lr: 2.107e-02, eta: 16:02:43, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9944, loss_cls: 2.1506, loss: 2.1506 2023-12-23 11:47:25,174 - pyskl - INFO - Saving checkpoint at 39 epochs 2023-12-23 11:48:31,523 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:48:31,581 - pyskl - INFO - top1_acc 0.7888 top5_acc 0.9822 2023-12-23 11:48:31,581 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:48:31,589 - pyskl - INFO - mean_acc 0.7157 2023-12-23 11:48:31,591 - pyskl - INFO - Epoch(val) [39][533] top1_acc: 0.7888, top5_acc: 0.9822, mean_class_accuracy: 0.7157 2023-12-23 11:49:23,254 - pyskl - INFO - Epoch [40][100/1281] lr: 2.104e-02, eta: 16:00:27, time: 0.517, data_time: 0.210, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9975, loss_cls: 2.0703, loss: 2.0703 2023-12-23 11:50:07,477 - pyskl - INFO - Epoch [40][200/1281] lr: 2.103e-02, eta: 15:59:57, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9938, loss_cls: 2.0536, loss: 2.0536 2023-12-23 11:50:50,831 - pyskl - INFO - Epoch [40][300/1281] lr: 2.101e-02, eta: 15:59:24, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9956, loss_cls: 2.0567, loss: 2.0567 2023-12-23 11:51:35,473 - pyskl - INFO - Epoch [40][400/1281] lr: 2.100e-02, eta: 15:58:55, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9925, loss_cls: 2.1257, loss: 2.1257 2023-12-23 11:52:19,932 - pyskl - INFO - Epoch [40][500/1281] lr: 2.098e-02, eta: 15:58:26, time: 0.445, data_time: 0.000, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9944, loss_cls: 2.0098, loss: 2.0098 2023-12-23 11:53:03,950 - pyskl - INFO - Epoch [40][600/1281] lr: 2.097e-02, eta: 15:57:55, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9938, loss_cls: 2.0792, loss: 2.0792 2023-12-23 11:53:47,697 - pyskl - INFO - Epoch [40][700/1281] lr: 2.095e-02, eta: 15:57:23, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9938, loss_cls: 1.9867, loss: 1.9867 2023-12-23 11:54:29,701 - pyskl - INFO - Epoch [40][800/1281] lr: 2.094e-02, eta: 15:56:46, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9938, loss_cls: 2.0995, loss: 2.0995 2023-12-23 11:55:12,326 - pyskl - INFO - Epoch [40][900/1281] lr: 2.092e-02, eta: 15:56:11, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9925, loss_cls: 2.1123, loss: 2.1123 2023-12-23 11:55:55,721 - pyskl - INFO - Epoch [40][1000/1281] lr: 2.091e-02, eta: 15:55:38, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9931, loss_cls: 2.1146, loss: 2.1146 2023-12-23 11:56:39,986 - pyskl - INFO - Epoch [40][1100/1281] lr: 2.089e-02, eta: 15:55:08, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9944, loss_cls: 2.0769, loss: 2.0769 2023-12-23 11:57:24,135 - pyskl - INFO - Epoch [40][1200/1281] lr: 2.088e-02, eta: 15:54:37, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9931, loss_cls: 2.1100, loss: 2.1100 2023-12-23 11:58:00,260 - pyskl - INFO - Saving checkpoint at 40 epochs 2023-12-23 11:59:03,692 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:59:03,764 - pyskl - INFO - top1_acc 0.7416 top5_acc 0.9567 2023-12-23 11:59:03,764 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:59:03,773 - pyskl - INFO - mean_acc 0.6657 2023-12-23 11:59:03,775 - pyskl - INFO - Epoch(val) [40][533] top1_acc: 0.7416, top5_acc: 0.9567, mean_class_accuracy: 0.6657 2023-12-23 11:59:56,955 - pyskl - INFO - Epoch [41][100/1281] lr: 2.085e-02, eta: 15:52:27, time: 0.532, data_time: 0.233, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9950, loss_cls: 2.1102, loss: 2.1102 2023-12-23 12:00:40,079 - pyskl - INFO - Epoch [41][200/1281] lr: 2.083e-02, eta: 15:51:54, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9956, loss_cls: 2.0603, loss: 2.0603 2023-12-23 12:01:23,141 - pyskl - INFO - Epoch [41][300/1281] lr: 2.082e-02, eta: 15:51:20, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9944, loss_cls: 2.0944, loss: 2.0944 2023-12-23 12:02:05,311 - pyskl - INFO - Epoch [41][400/1281] lr: 2.080e-02, eta: 15:50:44, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9950, loss_cls: 1.9866, loss: 1.9866 2023-12-23 12:02:49,253 - pyskl - INFO - Epoch [41][500/1281] lr: 2.079e-02, eta: 15:50:12, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9944, loss_cls: 2.0309, loss: 2.0309 2023-12-23 12:03:33,754 - pyskl - INFO - Epoch [41][600/1281] lr: 2.077e-02, eta: 15:49:42, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9931, loss_cls: 2.0517, loss: 2.0517 2023-12-23 12:04:18,170 - pyskl - INFO - Epoch [41][700/1281] lr: 2.076e-02, eta: 15:49:12, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9950, loss_cls: 2.0693, loss: 2.0693 2023-12-23 12:05:00,554 - pyskl - INFO - Epoch [41][800/1281] lr: 2.074e-02, eta: 15:48:36, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9894, loss_cls: 2.0818, loss: 2.0818 2023-12-23 12:05:43,402 - pyskl - INFO - Epoch [41][900/1281] lr: 2.073e-02, eta: 15:48:01, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9950, loss_cls: 2.1111, loss: 2.1111 2023-12-23 12:06:26,435 - pyskl - INFO - Epoch [41][1000/1281] lr: 2.071e-02, eta: 15:47:27, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8381, top5_acc: 0.9906, loss_cls: 2.1670, loss: 2.1670 2023-12-23 12:07:10,839 - pyskl - INFO - Epoch [41][1100/1281] lr: 2.070e-02, eta: 15:46:56, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9938, loss_cls: 2.0877, loss: 2.0877 2023-12-23 12:07:55,163 - pyskl - INFO - Epoch [41][1200/1281] lr: 2.068e-02, eta: 15:46:26, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9912, loss_cls: 2.0711, loss: 2.0711 2023-12-23 12:08:30,926 - pyskl - INFO - Saving checkpoint at 41 epochs 2023-12-23 12:09:33,643 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 12:09:33,706 - pyskl - INFO - top1_acc 0.8107 top5_acc 0.9831 2023-12-23 12:09:33,707 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 12:09:33,721 - pyskl - INFO - mean_acc 0.7521 2023-12-23 12:09:33,726 - pyskl - INFO - Epoch(val) [41][533] top1_acc: 0.8107, top5_acc: 0.9831, mean_class_accuracy: 0.7521 2023-12-23 12:10:22,153 - pyskl - INFO - Epoch [42][100/1281] lr: 2.065e-02, eta: 15:44:05, time: 0.484, data_time: 0.196, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9956, loss_cls: 2.0116, loss: 2.0116 2023-12-23 12:11:05,365 - pyskl - INFO - Epoch [42][200/1281] lr: 2.064e-02, eta: 15:43:32, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9931, loss_cls: 2.0833, loss: 2.0833 2023-12-23 12:11:49,836 - pyskl - INFO - Epoch [42][300/1281] lr: 2.062e-02, eta: 15:43:01, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9938, loss_cls: 2.0940, loss: 2.0940 2023-12-23 12:12:32,047 - pyskl - INFO - Epoch [42][400/1281] lr: 2.061e-02, eta: 15:42:25, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9900, loss_cls: 2.1140, loss: 2.1140 2023-12-23 12:13:15,858 - pyskl - INFO - Epoch [42][500/1281] lr: 2.059e-02, eta: 15:41:53, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9981, loss_cls: 2.0970, loss: 2.0970 2023-12-23 12:13:59,596 - pyskl - INFO - Epoch [42][600/1281] lr: 2.057e-02, eta: 15:41:20, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9962, loss_cls: 2.0308, loss: 2.0308 2023-12-23 12:14:44,269 - pyskl - INFO - Epoch [42][700/1281] lr: 2.056e-02, eta: 15:40:50, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9950, loss_cls: 2.0476, loss: 2.0476 2023-12-23 12:15:28,733 - pyskl - INFO - Epoch [42][800/1281] lr: 2.054e-02, eta: 15:40:19, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9925, loss_cls: 2.0426, loss: 2.0426 2023-12-23 12:16:11,337 - pyskl - INFO - Epoch [42][900/1281] lr: 2.053e-02, eta: 15:39:44, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9956, loss_cls: 2.1075, loss: 2.1075 2023-12-23 12:16:54,017 - pyskl - INFO - Epoch [42][1000/1281] lr: 2.051e-02, eta: 15:39:08, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9888, loss_cls: 2.0807, loss: 2.0807 2023-12-23 12:17:36,001 - pyskl - INFO - Epoch [42][1100/1281] lr: 2.050e-02, eta: 15:38:31, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9962, loss_cls: 2.0614, loss: 2.0614 2023-12-23 12:18:18,563 - pyskl - INFO - Epoch [42][1200/1281] lr: 2.048e-02, eta: 15:37:56, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9938, loss_cls: 2.0890, loss: 2.0890 2023-12-23 12:18:55,752 - pyskl - INFO - Saving checkpoint at 42 epochs 2023-12-23 12:20:00,276 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 12:20:00,354 - pyskl - INFO - top1_acc 0.7926 top5_acc 0.9763 2023-12-23 12:20:00,354 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 12:20:00,367 - pyskl - INFO - mean_acc 0.7493 2023-12-23 12:20:00,374 - pyskl - INFO - Epoch(val) [42][533] top1_acc: 0.7926, top5_acc: 0.9763, mean_class_accuracy: 0.7493 2023-12-23 12:20:49,446 - pyskl - INFO - Epoch [43][100/1281] lr: 2.045e-02, eta: 15:35:39, time: 0.491, data_time: 0.212, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9944, loss_cls: 2.0748, loss: 2.0748 2023-12-23 12:21:33,032 - pyskl - INFO - Epoch [43][200/1281] lr: 2.044e-02, eta: 15:35:06, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9931, loss_cls: 2.0439, loss: 2.0439 2023-12-23 12:22:17,185 - pyskl - INFO - Epoch [43][300/1281] lr: 2.042e-02, eta: 15:34:35, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9950, loss_cls: 2.0741, loss: 2.0741 2023-12-23 12:23:01,662 - pyskl - INFO - Epoch [43][400/1281] lr: 2.040e-02, eta: 15:34:04, time: 0.445, data_time: 0.000, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9944, loss_cls: 2.0913, loss: 2.0913 2023-12-23 12:23:46,001 - pyskl - INFO - Epoch [43][500/1281] lr: 2.039e-02, eta: 15:33:32, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9956, loss_cls: 2.0514, loss: 2.0514 2023-12-23 12:24:30,201 - pyskl - INFO - Epoch [43][600/1281] lr: 2.037e-02, eta: 15:33:01, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9925, loss_cls: 2.0801, loss: 2.0801 2023-12-23 12:25:13,388 - pyskl - INFO - Epoch [43][700/1281] lr: 2.036e-02, eta: 15:32:27, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9938, loss_cls: 2.0579, loss: 2.0579 2023-12-23 12:25:56,149 - pyskl - INFO - Epoch [43][800/1281] lr: 2.034e-02, eta: 15:31:51, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9944, loss_cls: 1.9922, loss: 1.9922 2023-12-23 12:26:40,075 - pyskl - INFO - Epoch [43][900/1281] lr: 2.033e-02, eta: 15:31:19, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9925, loss_cls: 2.1172, loss: 2.1172 2023-12-23 12:27:23,697 - pyskl - INFO - Epoch [43][1000/1281] lr: 2.031e-02, eta: 15:30:46, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9906, loss_cls: 2.1277, loss: 2.1277 2023-12-23 12:28:08,115 - pyskl - INFO - Epoch [43][1100/1281] lr: 2.029e-02, eta: 15:30:14, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9956, loss_cls: 2.0611, loss: 2.0611 2023-12-23 12:28:51,852 - pyskl - INFO - Epoch [43][1200/1281] lr: 2.028e-02, eta: 15:29:41, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9962, loss_cls: 2.0284, loss: 2.0284 2023-12-23 12:29:28,076 - pyskl - INFO - Saving checkpoint at 43 epochs 2023-12-23 12:30:32,377 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 12:30:32,435 - pyskl - INFO - top1_acc 0.8227 top5_acc 0.9831 2023-12-23 12:30:32,435 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 12:30:32,443 - pyskl - INFO - mean_acc 0.7606 2023-12-23 12:30:32,448 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_35.pth was removed 2023-12-23 12:30:32,697 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_43.pth. 2023-12-23 12:30:32,697 - pyskl - INFO - Best top1_acc is 0.8227 at 43 epoch. 2023-12-23 12:30:32,700 - pyskl - INFO - Epoch(val) [43][533] top1_acc: 0.8227, top5_acc: 0.9831, mean_class_accuracy: 0.7606 2023-12-23 12:31:25,079 - pyskl - INFO - Epoch [44][100/1281] lr: 2.025e-02, eta: 15:27:35, time: 0.524, data_time: 0.231, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9938, loss_cls: 2.0210, loss: 2.0210 2023-12-23 12:32:09,635 - pyskl - INFO - Epoch [44][200/1281] lr: 2.023e-02, eta: 15:27:04, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9931, loss_cls: 2.0801, loss: 2.0801 2023-12-23 12:32:52,805 - pyskl - INFO - Epoch [44][300/1281] lr: 2.022e-02, eta: 15:26:30, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9944, loss_cls: 1.9939, loss: 1.9939 2023-12-23 12:33:36,542 - pyskl - INFO - Epoch [44][400/1281] lr: 2.020e-02, eta: 15:25:57, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9912, loss_cls: 2.0933, loss: 2.0933 2023-12-23 12:34:19,558 - pyskl - INFO - Epoch [44][500/1281] lr: 2.018e-02, eta: 15:25:22, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9931, loss_cls: 2.1155, loss: 2.1155 2023-12-23 12:35:03,868 - pyskl - INFO - Epoch [44][600/1281] lr: 2.017e-02, eta: 15:24:50, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9931, loss_cls: 2.0679, loss: 2.0679 2023-12-23 12:35:48,177 - pyskl - INFO - Epoch [44][700/1281] lr: 2.015e-02, eta: 15:24:18, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9938, loss_cls: 2.0456, loss: 2.0456 2023-12-23 12:36:30,898 - pyskl - INFO - Epoch [44][800/1281] lr: 2.014e-02, eta: 15:23:43, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9919, loss_cls: 2.1246, loss: 2.1246 2023-12-23 12:37:12,807 - pyskl - INFO - Epoch [44][900/1281] lr: 2.012e-02, eta: 15:23:05, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9900, loss_cls: 2.0722, loss: 2.0722 2023-12-23 12:37:56,077 - pyskl - INFO - Epoch [44][1000/1281] lr: 2.010e-02, eta: 15:22:31, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9912, loss_cls: 2.0776, loss: 2.0776 2023-12-23 12:38:40,894 - pyskl - INFO - Epoch [44][1100/1281] lr: 2.009e-02, eta: 15:22:00, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9919, loss_cls: 2.0783, loss: 2.0783 2023-12-23 12:39:25,514 - pyskl - INFO - Epoch [44][1200/1281] lr: 2.007e-02, eta: 15:21:29, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9956, loss_cls: 2.0636, loss: 2.0636 2023-12-23 12:40:02,533 - pyskl - INFO - Saving checkpoint at 44 epochs 2023-12-23 12:41:06,417 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 12:41:06,480 - pyskl - INFO - top1_acc 0.8271 top5_acc 0.9812 2023-12-23 12:41:06,480 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 12:41:06,491 - pyskl - INFO - mean_acc 0.7686 2023-12-23 12:41:06,497 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_43.pth was removed 2023-12-23 12:41:06,742 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_44.pth. 2023-12-23 12:41:06,743 - pyskl - INFO - Best top1_acc is 0.8271 at 44 epoch. 2023-12-23 12:41:06,748 - pyskl - INFO - Epoch(val) [44][533] top1_acc: 0.8271, top5_acc: 0.9812, mean_class_accuracy: 0.7686 2023-12-23 12:42:00,667 - pyskl - INFO - Epoch [45][100/1281] lr: 2.004e-02, eta: 15:19:28, time: 0.539, data_time: 0.233, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9925, loss_cls: 2.0591, loss: 2.0591 2023-12-23 12:42:45,511 - pyskl - INFO - Epoch [45][200/1281] lr: 2.003e-02, eta: 15:18:57, time: 0.448, data_time: 0.000, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9956, loss_cls: 2.0292, loss: 2.0292 2023-12-23 12:43:29,407 - pyskl - INFO - Epoch [45][300/1281] lr: 2.001e-02, eta: 15:18:24, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9962, loss_cls: 2.0594, loss: 2.0594 2023-12-23 12:44:12,099 - pyskl - INFO - Epoch [45][400/1281] lr: 1.999e-02, eta: 15:17:48, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9956, loss_cls: 2.0476, loss: 2.0476 2023-12-23 12:44:54,105 - pyskl - INFO - Epoch [45][500/1281] lr: 1.998e-02, eta: 15:17:11, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9956, loss_cls: 2.0488, loss: 2.0488 2023-12-23 12:45:38,666 - pyskl - INFO - Epoch [45][600/1281] lr: 1.996e-02, eta: 15:16:39, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9912, loss_cls: 2.1062, loss: 2.1062 2023-12-23 12:46:23,226 - pyskl - INFO - Epoch [45][700/1281] lr: 1.994e-02, eta: 15:16:08, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9944, loss_cls: 2.0472, loss: 2.0472 2023-12-23 12:47:07,607 - pyskl - INFO - Epoch [45][800/1281] lr: 1.993e-02, eta: 15:15:36, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9931, loss_cls: 2.0050, loss: 2.0050 2023-12-23 12:47:52,159 - pyskl - INFO - Epoch [45][900/1281] lr: 1.991e-02, eta: 15:15:04, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9950, loss_cls: 2.1044, loss: 2.1044 2023-12-23 12:48:35,176 - pyskl - INFO - Epoch [45][1000/1281] lr: 1.989e-02, eta: 15:14:29, time: 0.430, data_time: 0.002, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9962, loss_cls: 2.0780, loss: 2.0780 2023-12-23 12:49:18,603 - pyskl - INFO - Epoch [45][1100/1281] lr: 1.988e-02, eta: 15:13:55, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9912, loss_cls: 1.9759, loss: 1.9759 2023-12-23 12:50:01,767 - pyskl - INFO - Epoch [45][1200/1281] lr: 1.986e-02, eta: 15:13:20, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9938, loss_cls: 1.9973, loss: 1.9973 2023-12-23 12:50:38,717 - pyskl - INFO - Saving checkpoint at 45 epochs 2023-12-23 12:51:45,959 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 12:51:46,020 - pyskl - INFO - top1_acc 0.8358 top5_acc 0.9886 2023-12-23 12:51:46,020 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 12:51:46,029 - pyskl - INFO - mean_acc 0.7966 2023-12-23 12:51:46,033 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_44.pth was removed 2023-12-23 12:51:46,285 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_45.pth. 2023-12-23 12:51:46,285 - pyskl - INFO - Best top1_acc is 0.8358 at 45 epoch. 2023-12-23 12:51:46,288 - pyskl - INFO - Epoch(val) [45][533] top1_acc: 0.8358, top5_acc: 0.9886, mean_class_accuracy: 0.7966 2023-12-23 12:52:37,874 - pyskl - INFO - Epoch [46][100/1281] lr: 1.983e-02, eta: 15:11:14, time: 0.516, data_time: 0.229, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9962, loss_cls: 1.9819, loss: 1.9819 2023-12-23 12:53:21,394 - pyskl - INFO - Epoch [46][200/1281] lr: 1.981e-02, eta: 15:10:40, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9925, loss_cls: 2.0291, loss: 2.0291 2023-12-23 12:54:06,125 - pyskl - INFO - Epoch [46][300/1281] lr: 1.980e-02, eta: 15:10:09, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9969, loss_cls: 2.0177, loss: 2.0177 2023-12-23 12:54:51,098 - pyskl - INFO - Epoch [46][400/1281] lr: 1.978e-02, eta: 15:09:38, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9962, loss_cls: 1.9258, loss: 1.9258 2023-12-23 12:55:34,302 - pyskl - INFO - Epoch [46][500/1281] lr: 1.976e-02, eta: 15:09:03, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9962, loss_cls: 2.0098, loss: 2.0098 2023-12-23 12:56:17,879 - pyskl - INFO - Epoch [46][600/1281] lr: 1.975e-02, eta: 15:08:29, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9956, loss_cls: 2.0281, loss: 2.0281 2023-12-23 12:57:00,401 - pyskl - INFO - Epoch [46][700/1281] lr: 1.973e-02, eta: 15:07:53, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9925, loss_cls: 2.0445, loss: 2.0445 2023-12-23 12:57:42,886 - pyskl - INFO - Epoch [46][800/1281] lr: 1.971e-02, eta: 15:07:16, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9950, loss_cls: 2.1114, loss: 2.1114 2023-12-23 12:58:26,113 - pyskl - INFO - Epoch [46][900/1281] lr: 1.970e-02, eta: 15:06:41, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9900, loss_cls: 2.1371, loss: 2.1371 2023-12-23 12:59:10,924 - pyskl - INFO - Epoch [46][1000/1281] lr: 1.968e-02, eta: 15:06:10, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9906, loss_cls: 2.0845, loss: 2.0845 2023-12-23 12:59:54,762 - pyskl - INFO - Epoch [46][1100/1281] lr: 1.966e-02, eta: 15:05:36, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9975, loss_cls: 2.0207, loss: 2.0207 2023-12-23 13:00:37,867 - pyskl - INFO - Epoch [46][1200/1281] lr: 1.965e-02, eta: 15:05:01, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9944, loss_cls: 2.0433, loss: 2.0433 2023-12-23 13:01:14,307 - pyskl - INFO - Saving checkpoint at 46 epochs 2023-12-23 13:02:20,270 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:02:20,357 - pyskl - INFO - top1_acc 0.8400 top5_acc 0.9839 2023-12-23 13:02:20,357 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:02:20,365 - pyskl - INFO - mean_acc 0.8034 2023-12-23 13:02:20,370 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_45.pth was removed 2023-12-23 13:02:20,673 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. 2023-12-23 13:02:20,674 - pyskl - INFO - Best top1_acc is 0.8400 at 46 epoch. 2023-12-23 13:02:20,678 - pyskl - INFO - Epoch(val) [46][533] top1_acc: 0.8400, top5_acc: 0.9839, mean_class_accuracy: 0.8034 2023-12-23 13:03:14,215 - pyskl - INFO - Epoch [47][100/1281] lr: 1.962e-02, eta: 15:03:01, time: 0.535, data_time: 0.235, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9969, loss_cls: 1.9865, loss: 1.9865 2023-12-23 13:03:56,609 - pyskl - INFO - Epoch [47][200/1281] lr: 1.960e-02, eta: 15:02:24, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9975, loss_cls: 1.9838, loss: 1.9838 2023-12-23 13:04:41,171 - pyskl - INFO - Epoch [47][300/1281] lr: 1.958e-02, eta: 15:01:52, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9975, loss_cls: 1.9880, loss: 1.9880 2023-12-23 13:05:25,589 - pyskl - INFO - Epoch [47][400/1281] lr: 1.957e-02, eta: 15:01:20, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9944, loss_cls: 2.0636, loss: 2.0636 2023-12-23 13:06:10,295 - pyskl - INFO - Epoch [47][500/1281] lr: 1.955e-02, eta: 15:00:48, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9944, loss_cls: 2.0154, loss: 2.0154 2023-12-23 13:06:54,517 - pyskl - INFO - Epoch [47][600/1281] lr: 1.953e-02, eta: 15:00:15, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9975, loss_cls: 1.9929, loss: 1.9929 2023-12-23 13:07:36,858 - pyskl - INFO - Epoch [47][700/1281] lr: 1.952e-02, eta: 14:59:38, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9950, loss_cls: 2.0097, loss: 2.0097 2023-12-23 13:08:19,588 - pyskl - INFO - Epoch [47][800/1281] lr: 1.950e-02, eta: 14:59:02, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9938, loss_cls: 2.0648, loss: 2.0648 2023-12-23 13:09:04,019 - pyskl - INFO - Epoch [47][900/1281] lr: 1.948e-02, eta: 14:58:29, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9888, loss_cls: 2.0104, loss: 2.0104 2023-12-23 13:09:47,160 - pyskl - INFO - Epoch [47][1000/1281] lr: 1.947e-02, eta: 14:57:54, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9925, loss_cls: 2.0844, loss: 2.0844 2023-12-23 13:10:29,594 - pyskl - INFO - Epoch [47][1100/1281] lr: 1.945e-02, eta: 14:57:17, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9931, loss_cls: 2.1099, loss: 2.1099 2023-12-23 13:11:11,539 - pyskl - INFO - Epoch [47][1200/1281] lr: 1.943e-02, eta: 14:56:39, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9900, loss_cls: 2.0815, loss: 2.0815 2023-12-23 13:11:46,787 - pyskl - INFO - Saving checkpoint at 47 epochs 2023-12-23 13:12:53,192 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:12:53,259 - pyskl - INFO - top1_acc 0.8256 top5_acc 0.9804 2023-12-23 13:12:53,260 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:12:53,268 - pyskl - INFO - mean_acc 0.7858 2023-12-23 13:12:53,271 - pyskl - INFO - Epoch(val) [47][533] top1_acc: 0.8256, top5_acc: 0.9804, mean_class_accuracy: 0.7858 2023-12-23 13:13:47,276 - pyskl - INFO - Epoch [48][100/1281] lr: 1.940e-02, eta: 14:54:42, time: 0.540, data_time: 0.232, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9938, loss_cls: 1.9670, loss: 1.9670 2023-12-23 13:14:31,336 - pyskl - INFO - Epoch [48][200/1281] lr: 1.938e-02, eta: 14:54:08, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9969, loss_cls: 1.9689, loss: 1.9689 2023-12-23 13:15:15,006 - pyskl - INFO - Epoch [48][300/1281] lr: 1.937e-02, eta: 14:53:34, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9944, loss_cls: 1.9585, loss: 1.9585 2023-12-23 13:15:59,579 - pyskl - INFO - Epoch [48][400/1281] lr: 1.935e-02, eta: 14:53:01, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9962, loss_cls: 2.0487, loss: 2.0487 2023-12-23 13:16:44,138 - pyskl - INFO - Epoch [48][500/1281] lr: 1.933e-02, eta: 14:52:29, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9962, loss_cls: 2.0181, loss: 2.0181 2023-12-23 13:17:28,807 - pyskl - INFO - Epoch [48][600/1281] lr: 1.932e-02, eta: 14:51:57, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9938, loss_cls: 2.0437, loss: 2.0437 2023-12-23 13:18:13,011 - pyskl - INFO - Epoch [48][700/1281] lr: 1.930e-02, eta: 14:51:23, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9925, loss_cls: 2.1352, loss: 2.1352 2023-12-23 13:18:56,499 - pyskl - INFO - Epoch [48][800/1281] lr: 1.928e-02, eta: 14:50:49, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9962, loss_cls: 2.0078, loss: 2.0078 2023-12-23 13:19:40,402 - pyskl - INFO - Epoch [48][900/1281] lr: 1.926e-02, eta: 14:50:15, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9944, loss_cls: 2.0095, loss: 2.0095 2023-12-23 13:20:24,450 - pyskl - INFO - Epoch [48][1000/1281] lr: 1.925e-02, eta: 14:49:41, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9950, loss_cls: 2.0272, loss: 2.0272 2023-12-23 13:21:07,370 - pyskl - INFO - Epoch [48][1100/1281] lr: 1.923e-02, eta: 14:49:05, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9988, loss_cls: 1.9682, loss: 1.9682 2023-12-23 13:21:50,888 - pyskl - INFO - Epoch [48][1200/1281] lr: 1.921e-02, eta: 14:48:30, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9938, loss_cls: 2.0321, loss: 2.0321 2023-12-23 13:22:27,081 - pyskl - INFO - Saving checkpoint at 48 epochs 2023-12-23 13:23:35,036 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:23:35,125 - pyskl - INFO - top1_acc 0.8058 top5_acc 0.9822 2023-12-23 13:23:35,125 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:23:35,144 - pyskl - INFO - mean_acc 0.7242 2023-12-23 13:23:35,147 - pyskl - INFO - Epoch(val) [48][533] top1_acc: 0.8058, top5_acc: 0.9822, mean_class_accuracy: 0.7242 2023-12-23 13:24:29,134 - pyskl - INFO - Epoch [49][100/1281] lr: 1.918e-02, eta: 14:46:34, time: 0.540, data_time: 0.232, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9950, loss_cls: 1.9113, loss: 1.9113 2023-12-23 13:25:11,772 - pyskl - INFO - Epoch [49][200/1281] lr: 1.916e-02, eta: 14:45:57, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 1.9421, loss: 1.9421 2023-12-23 13:25:54,099 - pyskl - INFO - Epoch [49][300/1281] lr: 1.915e-02, eta: 14:45:20, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9950, loss_cls: 2.0560, loss: 2.0560 2023-12-23 13:26:36,285 - pyskl - INFO - Epoch [49][400/1281] lr: 1.913e-02, eta: 14:44:42, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9919, loss_cls: 2.0559, loss: 2.0559 2023-12-23 13:27:18,810 - pyskl - INFO - Epoch [49][500/1281] lr: 1.911e-02, eta: 14:44:05, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9975, loss_cls: 2.0324, loss: 2.0324 2023-12-23 13:28:01,588 - pyskl - INFO - Epoch [49][600/1281] lr: 1.909e-02, eta: 14:43:28, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9931, loss_cls: 2.0157, loss: 2.0157 2023-12-23 13:28:44,276 - pyskl - INFO - Epoch [49][700/1281] lr: 1.908e-02, eta: 14:42:52, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9938, loss_cls: 2.0564, loss: 2.0564 2023-12-23 13:29:26,915 - pyskl - INFO - Epoch [49][800/1281] lr: 1.906e-02, eta: 14:42:15, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9931, loss_cls: 2.0713, loss: 2.0713 2023-12-23 13:30:09,527 - pyskl - INFO - Epoch [49][900/1281] lr: 1.904e-02, eta: 14:41:38, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9950, loss_cls: 1.9932, loss: 1.9932 2023-12-23 13:30:52,011 - pyskl - INFO - Epoch [49][1000/1281] lr: 1.902e-02, eta: 14:41:01, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9944, loss_cls: 2.0431, loss: 2.0431 2023-12-23 13:31:34,708 - pyskl - INFO - Epoch [49][1100/1281] lr: 1.901e-02, eta: 14:40:24, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9931, loss_cls: 1.9622, loss: 1.9622 2023-12-23 13:32:17,230 - pyskl - INFO - Epoch [49][1200/1281] lr: 1.899e-02, eta: 14:39:47, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9925, loss_cls: 2.0405, loss: 2.0405 2023-12-23 13:32:53,340 - pyskl - INFO - Saving checkpoint at 49 epochs 2023-12-23 13:33:59,095 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:33:59,155 - pyskl - INFO - top1_acc 0.7816 top5_acc 0.9803 2023-12-23 13:33:59,155 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:33:59,163 - pyskl - INFO - mean_acc 0.7134 2023-12-23 13:33:59,165 - pyskl - INFO - Epoch(val) [49][533] top1_acc: 0.7816, top5_acc: 0.9803, mean_class_accuracy: 0.7134 2023-12-23 13:34:52,681 - pyskl - INFO - Epoch [50][100/1281] lr: 1.896e-02, eta: 14:37:51, time: 0.535, data_time: 0.217, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9981, loss_cls: 1.9278, loss: 1.9278 2023-12-23 13:35:37,222 - pyskl - INFO - Epoch [50][200/1281] lr: 1.894e-02, eta: 14:37:18, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9975, loss_cls: 1.9303, loss: 1.9303 2023-12-23 13:36:21,723 - pyskl - INFO - Epoch [50][300/1281] lr: 1.892e-02, eta: 14:36:45, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9950, loss_cls: 1.9899, loss: 1.9899 2023-12-23 13:37:05,465 - pyskl - INFO - Epoch [50][400/1281] lr: 1.891e-02, eta: 14:36:11, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9969, loss_cls: 1.9968, loss: 1.9968 2023-12-23 13:37:49,189 - pyskl - INFO - Epoch [50][500/1281] lr: 1.889e-02, eta: 14:35:36, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9944, loss_cls: 2.0163, loss: 2.0163 2023-12-23 13:38:33,266 - pyskl - INFO - Epoch [50][600/1281] lr: 1.887e-02, eta: 14:35:02, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9931, loss_cls: 2.0565, loss: 2.0565 2023-12-23 13:39:17,849 - pyskl - INFO - Epoch [50][700/1281] lr: 1.885e-02, eta: 14:34:29, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9931, loss_cls: 2.0764, loss: 2.0764 2023-12-23 13:40:01,659 - pyskl - INFO - Epoch [50][800/1281] lr: 1.884e-02, eta: 14:33:54, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9975, loss_cls: 2.0993, loss: 2.0993 2023-12-23 13:40:44,084 - pyskl - INFO - Epoch [50][900/1281] lr: 1.882e-02, eta: 14:33:17, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9912, loss_cls: 2.0551, loss: 2.0551 2023-12-23 13:41:26,239 - pyskl - INFO - Epoch [50][1000/1281] lr: 1.880e-02, eta: 14:32:39, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9956, loss_cls: 2.0508, loss: 2.0508 2023-12-23 13:42:08,752 - pyskl - INFO - Epoch [50][1100/1281] lr: 1.878e-02, eta: 14:32:01, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9938, loss_cls: 2.0800, loss: 2.0800 2023-12-23 13:42:51,912 - pyskl - INFO - Epoch [50][1200/1281] lr: 1.876e-02, eta: 14:31:25, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9925, loss_cls: 2.0857, loss: 2.0857 2023-12-23 13:43:28,721 - pyskl - INFO - Saving checkpoint at 50 epochs 2023-12-23 13:44:36,630 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:44:36,692 - pyskl - INFO - top1_acc 0.8181 top5_acc 0.9811 2023-12-23 13:44:36,692 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:44:36,702 - pyskl - INFO - mean_acc 0.8000 2023-12-23 13:44:36,704 - pyskl - INFO - Epoch(val) [50][533] top1_acc: 0.8181, top5_acc: 0.9811, mean_class_accuracy: 0.8000 2023-12-23 13:45:26,198 - pyskl - INFO - Epoch [51][100/1281] lr: 1.873e-02, eta: 14:29:23, time: 0.495, data_time: 0.200, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9962, loss_cls: 1.9498, loss: 1.9498 2023-12-23 13:46:08,915 - pyskl - INFO - Epoch [51][200/1281] lr: 1.871e-02, eta: 14:28:46, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9950, loss_cls: 1.9720, loss: 1.9720 2023-12-23 13:46:52,369 - pyskl - INFO - Epoch [51][300/1281] lr: 1.870e-02, eta: 14:28:11, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9956, loss_cls: 2.0855, loss: 2.0855 2023-12-23 13:47:36,886 - pyskl - INFO - Epoch [51][400/1281] lr: 1.868e-02, eta: 14:27:37, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9975, loss_cls: 1.9609, loss: 1.9609 2023-12-23 13:48:20,898 - pyskl - INFO - Epoch [51][500/1281] lr: 1.866e-02, eta: 14:27:03, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9962, loss_cls: 1.9562, loss: 1.9562 2023-12-23 13:49:03,698 - pyskl - INFO - Epoch [51][600/1281] lr: 1.864e-02, eta: 14:26:26, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9969, loss_cls: 2.0300, loss: 2.0300 2023-12-23 13:49:47,180 - pyskl - INFO - Epoch [51][700/1281] lr: 1.863e-02, eta: 14:25:51, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9938, loss_cls: 1.9756, loss: 1.9756 2023-12-23 13:50:31,820 - pyskl - INFO - Epoch [51][800/1281] lr: 1.861e-02, eta: 14:25:18, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9962, loss_cls: 2.0210, loss: 2.0210 2023-12-23 13:51:15,377 - pyskl - INFO - Epoch [51][900/1281] lr: 1.859e-02, eta: 14:24:42, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9938, loss_cls: 2.0084, loss: 2.0084 2023-12-23 13:51:58,254 - pyskl - INFO - Epoch [51][1000/1281] lr: 1.857e-02, eta: 14:24:06, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9931, loss_cls: 2.0426, loss: 2.0426 2023-12-23 13:52:41,854 - pyskl - INFO - Epoch [51][1100/1281] lr: 1.855e-02, eta: 14:23:30, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9938, loss_cls: 2.0281, loss: 2.0281 2023-12-23 13:53:26,616 - pyskl - INFO - Epoch [51][1200/1281] lr: 1.854e-02, eta: 14:22:57, time: 0.448, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9912, loss_cls: 1.9864, loss: 1.9864 2023-12-23 13:54:02,679 - pyskl - INFO - Saving checkpoint at 51 epochs 2023-12-23 13:55:10,664 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:55:10,739 - pyskl - INFO - top1_acc 0.8441 top5_acc 0.9877 2023-12-23 13:55:10,740 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:55:10,760 - pyskl - INFO - mean_acc 0.8114 2023-12-23 13:55:10,791 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_46.pth was removed 2023-12-23 13:55:11,045 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_51.pth. 2023-12-23 13:55:11,045 - pyskl - INFO - Best top1_acc is 0.8441 at 51 epoch. 2023-12-23 13:55:11,048 - pyskl - INFO - Epoch(val) [51][533] top1_acc: 0.8441, top5_acc: 0.9877, mean_class_accuracy: 0.8114 2023-12-23 13:56:05,007 - pyskl - INFO - Epoch [52][100/1281] lr: 1.850e-02, eta: 14:21:05, time: 0.540, data_time: 0.234, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9962, loss_cls: 1.9556, loss: 1.9556 2023-12-23 13:56:48,609 - pyskl - INFO - Epoch [52][200/1281] lr: 1.849e-02, eta: 14:20:29, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9969, loss_cls: 1.9626, loss: 1.9626 2023-12-23 13:57:31,302 - pyskl - INFO - Epoch [52][300/1281] lr: 1.847e-02, eta: 14:19:52, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9956, loss_cls: 1.9925, loss: 1.9925 2023-12-23 13:58:14,555 - pyskl - INFO - Epoch [52][400/1281] lr: 1.845e-02, eta: 14:19:16, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9919, loss_cls: 2.1120, loss: 2.1120 2023-12-23 13:58:58,999 - pyskl - INFO - Epoch [52][500/1281] lr: 1.843e-02, eta: 14:18:43, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9944, loss_cls: 2.0326, loss: 2.0326 2023-12-23 13:59:42,762 - pyskl - INFO - Epoch [52][600/1281] lr: 1.841e-02, eta: 14:18:07, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9919, loss_cls: 2.0331, loss: 2.0331 2023-12-23 14:00:27,001 - pyskl - INFO - Epoch [52][700/1281] lr: 1.840e-02, eta: 14:17:33, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9975, loss_cls: 1.9654, loss: 1.9654 2023-12-23 14:01:11,483 - pyskl - INFO - Epoch [52][800/1281] lr: 1.838e-02, eta: 14:16:59, time: 0.445, data_time: 0.000, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9919, loss_cls: 2.0647, loss: 2.0647 2023-12-23 14:01:56,174 - pyskl - INFO - Epoch [52][900/1281] lr: 1.836e-02, eta: 14:16:26, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9950, loss_cls: 2.0227, loss: 2.0227 2023-12-23 14:02:40,839 - pyskl - INFO - Epoch [52][1000/1281] lr: 1.834e-02, eta: 14:15:53, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9931, loss_cls: 2.0182, loss: 2.0182 2023-12-23 14:03:24,654 - pyskl - INFO - Epoch [52][1100/1281] lr: 1.832e-02, eta: 14:15:17, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9956, loss_cls: 1.9387, loss: 1.9387 2023-12-23 14:04:08,846 - pyskl - INFO - Epoch [52][1200/1281] lr: 1.831e-02, eta: 14:14:43, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9919, loss_cls: 2.0584, loss: 2.0584 2023-12-23 14:04:44,997 - pyskl - INFO - Saving checkpoint at 52 epochs 2023-12-23 14:05:53,657 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:05:53,720 - pyskl - INFO - top1_acc 0.8470 top5_acc 0.9869 2023-12-23 14:05:53,720 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:05:53,732 - pyskl - INFO - mean_acc 0.7969 2023-12-23 14:05:53,742 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_51.pth was removed 2023-12-23 14:05:54,014 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth. 2023-12-23 14:05:54,015 - pyskl - INFO - Best top1_acc is 0.8470 at 52 epoch. 2023-12-23 14:05:54,018 - pyskl - INFO - Epoch(val) [52][533] top1_acc: 0.8470, top5_acc: 0.9869, mean_class_accuracy: 0.7969 2023-12-23 14:06:51,794 - pyskl - INFO - Epoch [53][100/1281] lr: 1.827e-02, eta: 14:12:59, time: 0.578, data_time: 0.237, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 1.8776, loss: 1.8776 2023-12-23 14:07:35,315 - pyskl - INFO - Epoch [53][200/1281] lr: 1.826e-02, eta: 14:12:23, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9981, loss_cls: 1.9201, loss: 1.9201 2023-12-23 14:08:19,847 - pyskl - INFO - Epoch [53][300/1281] lr: 1.824e-02, eta: 14:11:49, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9962, loss_cls: 1.9364, loss: 1.9364 2023-12-23 14:09:02,324 - pyskl - INFO - Epoch [53][400/1281] lr: 1.822e-02, eta: 14:11:12, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9950, loss_cls: 1.9784, loss: 1.9784 2023-12-23 14:09:44,985 - pyskl - INFO - Epoch [53][500/1281] lr: 1.820e-02, eta: 14:10:34, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9919, loss_cls: 2.0451, loss: 2.0451 2023-12-23 14:10:27,717 - pyskl - INFO - Epoch [53][600/1281] lr: 1.818e-02, eta: 14:09:57, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9962, loss_cls: 1.9344, loss: 1.9344 2023-12-23 14:11:11,415 - pyskl - INFO - Epoch [53][700/1281] lr: 1.816e-02, eta: 14:09:21, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9938, loss_cls: 1.9304, loss: 1.9304 2023-12-23 14:11:55,548 - pyskl - INFO - Epoch [53][800/1281] lr: 1.815e-02, eta: 14:08:47, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9969, loss_cls: 2.0069, loss: 2.0069 2023-12-23 14:12:40,415 - pyskl - INFO - Epoch [53][900/1281] lr: 1.813e-02, eta: 14:08:13, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9956, loss_cls: 2.0205, loss: 2.0205 2023-12-23 14:13:24,605 - pyskl - INFO - Epoch [53][1000/1281] lr: 1.811e-02, eta: 14:07:39, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9956, loss_cls: 1.9596, loss: 1.9596 2023-12-23 14:14:07,407 - pyskl - INFO - Epoch [53][1100/1281] lr: 1.809e-02, eta: 14:07:01, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9969, loss_cls: 1.9539, loss: 1.9539 2023-12-23 14:14:50,963 - pyskl - INFO - Epoch [53][1200/1281] lr: 1.807e-02, eta: 14:06:26, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9956, loss_cls: 1.9771, loss: 1.9771 2023-12-23 14:15:27,513 - pyskl - INFO - Saving checkpoint at 53 epochs 2023-12-23 14:16:35,847 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:16:35,928 - pyskl - INFO - top1_acc 0.8587 top5_acc 0.9889 2023-12-23 14:16:35,928 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:16:35,943 - pyskl - INFO - mean_acc 0.8147 2023-12-23 14:16:35,953 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_52.pth was removed 2023-12-23 14:16:36,177 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_53.pth. 2023-12-23 14:16:36,178 - pyskl - INFO - Best top1_acc is 0.8587 at 53 epoch. 2023-12-23 14:16:36,183 - pyskl - INFO - Epoch(val) [53][533] top1_acc: 0.8587, top5_acc: 0.9889, mean_class_accuracy: 0.8147 2023-12-23 14:17:33,837 - pyskl - INFO - Epoch [54][100/1281] lr: 1.804e-02, eta: 14:04:42, time: 0.576, data_time: 0.235, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9988, loss_cls: 1.9344, loss: 1.9344 2023-12-23 14:18:16,564 - pyskl - INFO - Epoch [54][200/1281] lr: 1.802e-02, eta: 14:04:05, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9969, loss_cls: 1.9075, loss: 1.9075 2023-12-23 14:18:58,671 - pyskl - INFO - Epoch [54][300/1281] lr: 1.800e-02, eta: 14:03:26, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9994, loss_cls: 1.8540, loss: 1.8540 2023-12-23 14:19:41,251 - pyskl - INFO - Epoch [54][400/1281] lr: 1.798e-02, eta: 14:02:48, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9969, loss_cls: 1.9295, loss: 1.9295 2023-12-23 14:20:24,351 - pyskl - INFO - Epoch [54][500/1281] lr: 1.797e-02, eta: 14:02:12, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9956, loss_cls: 1.9785, loss: 1.9785 2023-12-23 14:21:09,007 - pyskl - INFO - Epoch [54][600/1281] lr: 1.795e-02, eta: 14:01:38, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9956, loss_cls: 2.0221, loss: 2.0221 2023-12-23 14:21:53,589 - pyskl - INFO - Epoch [54][700/1281] lr: 1.793e-02, eta: 14:01:04, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9931, loss_cls: 1.9504, loss: 1.9504 2023-12-23 14:22:37,531 - pyskl - INFO - Epoch [54][800/1281] lr: 1.791e-02, eta: 14:00:28, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9950, loss_cls: 1.9633, loss: 1.9633 2023-12-23 14:23:21,360 - pyskl - INFO - Epoch [54][900/1281] lr: 1.789e-02, eta: 13:59:53, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 1.9737, loss: 1.9737 2023-12-23 14:24:03,731 - pyskl - INFO - Epoch [54][1000/1281] lr: 1.787e-02, eta: 13:59:15, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9950, loss_cls: 2.0142, loss: 2.0142 2023-12-23 14:24:46,176 - pyskl - INFO - Epoch [54][1100/1281] lr: 1.786e-02, eta: 13:58:37, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9944, loss_cls: 2.0070, loss: 2.0070 2023-12-23 14:25:29,937 - pyskl - INFO - Epoch [54][1200/1281] lr: 1.784e-02, eta: 13:58:01, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9938, loss_cls: 2.0370, loss: 2.0370 2023-12-23 14:26:04,832 - pyskl - INFO - Saving checkpoint at 54 epochs 2023-12-23 14:27:11,443 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:27:11,515 - pyskl - INFO - top1_acc 0.8288 top5_acc 0.9849 2023-12-23 14:27:11,516 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:27:11,532 - pyskl - INFO - mean_acc 0.7829 2023-12-23 14:27:11,537 - pyskl - INFO - Epoch(val) [54][533] top1_acc: 0.8288, top5_acc: 0.9849, mean_class_accuracy: 0.7829 2023-12-23 14:28:07,076 - pyskl - INFO - Epoch [55][100/1281] lr: 1.780e-02, eta: 13:56:14, time: 0.555, data_time: 0.231, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9950, loss_cls: 1.9782, loss: 1.9782 2023-12-23 14:28:49,461 - pyskl - INFO - Epoch [55][200/1281] lr: 1.779e-02, eta: 13:55:36, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 1.9498, loss: 1.9498 2023-12-23 14:29:32,553 - pyskl - INFO - Epoch [55][300/1281] lr: 1.777e-02, eta: 13:54:59, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9950, loss_cls: 1.9490, loss: 1.9490 2023-12-23 14:30:16,026 - pyskl - INFO - Epoch [55][400/1281] lr: 1.775e-02, eta: 13:54:23, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9950, loss_cls: 2.0080, loss: 2.0080 2023-12-23 14:31:00,138 - pyskl - INFO - Epoch [55][500/1281] lr: 1.773e-02, eta: 13:53:48, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9969, loss_cls: 2.0177, loss: 2.0177 2023-12-23 14:31:42,765 - pyskl - INFO - Epoch [55][600/1281] lr: 1.771e-02, eta: 13:53:10, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9962, loss_cls: 1.9688, loss: 1.9688 2023-12-23 14:32:25,172 - pyskl - INFO - Epoch [55][700/1281] lr: 1.769e-02, eta: 13:52:32, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9938, loss_cls: 2.0041, loss: 2.0041 2023-12-23 14:33:07,727 - pyskl - INFO - Epoch [55][800/1281] lr: 1.767e-02, eta: 13:51:54, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9956, loss_cls: 2.0318, loss: 2.0318 2023-12-23 14:33:50,920 - pyskl - INFO - Epoch [55][900/1281] lr: 1.766e-02, eta: 13:51:18, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9969, loss_cls: 1.9549, loss: 1.9549 2023-12-23 14:34:35,523 - pyskl - INFO - Epoch [55][1000/1281] lr: 1.764e-02, eta: 13:50:43, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9925, loss_cls: 2.0145, loss: 2.0145 2023-12-23 14:35:18,845 - pyskl - INFO - Epoch [55][1100/1281] lr: 1.762e-02, eta: 13:50:07, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9950, loss_cls: 1.9758, loss: 1.9758 2023-12-23 14:36:01,415 - pyskl - INFO - Epoch [55][1200/1281] lr: 1.760e-02, eta: 13:49:29, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9969, loss_cls: 2.0099, loss: 2.0099 2023-12-23 14:36:36,541 - pyskl - INFO - Saving checkpoint at 55 epochs 2023-12-23 14:37:45,201 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:37:45,260 - pyskl - INFO - top1_acc 0.8260 top5_acc 0.9864 2023-12-23 14:37:45,260 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:37:45,268 - pyskl - INFO - mean_acc 0.7867 2023-12-23 14:37:45,271 - pyskl - INFO - Epoch(val) [55][533] top1_acc: 0.8260, top5_acc: 0.9864, mean_class_accuracy: 0.7867 2023-12-23 14:38:43,034 - pyskl - INFO - Epoch [56][100/1281] lr: 1.757e-02, eta: 13:47:47, time: 0.578, data_time: 0.239, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9956, loss_cls: 1.9701, loss: 1.9701 2023-12-23 14:39:25,791 - pyskl - INFO - Epoch [56][200/1281] lr: 1.755e-02, eta: 13:47:09, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9950, loss_cls: 1.9129, loss: 1.9129 2023-12-23 14:40:10,255 - pyskl - INFO - Epoch [56][300/1281] lr: 1.753e-02, eta: 13:46:35, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9950, loss_cls: 1.9098, loss: 1.9098 2023-12-23 14:40:53,323 - pyskl - INFO - Epoch [56][400/1281] lr: 1.751e-02, eta: 13:45:58, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9975, loss_cls: 1.8654, loss: 1.8654 2023-12-23 14:41:36,188 - pyskl - INFO - Epoch [56][500/1281] lr: 1.749e-02, eta: 13:45:20, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 1.9820, loss: 1.9820 2023-12-23 14:42:18,874 - pyskl - INFO - Epoch [56][600/1281] lr: 1.747e-02, eta: 13:44:42, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9950, loss_cls: 1.9671, loss: 1.9671 2023-12-23 14:43:03,009 - pyskl - INFO - Epoch [56][700/1281] lr: 1.745e-02, eta: 13:44:07, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9950, loss_cls: 1.9693, loss: 1.9693 2023-12-23 14:43:47,801 - pyskl - INFO - Epoch [56][800/1281] lr: 1.743e-02, eta: 13:43:33, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9956, loss_cls: 2.0011, loss: 2.0011 2023-12-23 14:44:32,412 - pyskl - INFO - Epoch [56][900/1281] lr: 1.742e-02, eta: 13:42:58, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9956, loss_cls: 1.9988, loss: 1.9988 2023-12-23 14:45:14,636 - pyskl - INFO - Epoch [56][1000/1281] lr: 1.740e-02, eta: 13:42:20, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9944, loss_cls: 1.9817, loss: 1.9817 2023-12-23 14:45:57,666 - pyskl - INFO - Epoch [56][1100/1281] lr: 1.738e-02, eta: 13:41:42, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9944, loss_cls: 2.0315, loss: 2.0315 2023-12-23 14:46:42,272 - pyskl - INFO - Epoch [56][1200/1281] lr: 1.736e-02, eta: 13:41:08, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9988, loss_cls: 1.9096, loss: 1.9096 2023-12-23 14:47:17,763 - pyskl - INFO - Saving checkpoint at 56 epochs 2023-12-23 14:48:27,205 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:48:27,263 - pyskl - INFO - top1_acc 0.8280 top5_acc 0.9844 2023-12-23 14:48:27,263 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:48:27,271 - pyskl - INFO - mean_acc 0.7870 2023-12-23 14:48:27,274 - pyskl - INFO - Epoch(val) [56][533] top1_acc: 0.8280, top5_acc: 0.9844, mean_class_accuracy: 0.7870 2023-12-23 14:49:18,421 - pyskl - INFO - Epoch [57][100/1281] lr: 1.733e-02, eta: 13:39:16, time: 0.511, data_time: 0.198, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9956, loss_cls: 1.9312, loss: 1.9312 2023-12-23 14:50:03,117 - pyskl - INFO - Epoch [57][200/1281] lr: 1.731e-02, eta: 13:38:41, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9969, loss_cls: 1.9008, loss: 1.9008 2023-12-23 14:50:47,809 - pyskl - INFO - Epoch [57][300/1281] lr: 1.729e-02, eta: 13:38:07, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9925, loss_cls: 1.9604, loss: 1.9604 2023-12-23 14:51:32,504 - pyskl - INFO - Epoch [57][400/1281] lr: 1.727e-02, eta: 13:37:32, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9981, loss_cls: 1.9698, loss: 1.9698 2023-12-23 14:52:16,400 - pyskl - INFO - Epoch [57][500/1281] lr: 1.725e-02, eta: 13:36:56, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9962, loss_cls: 1.9383, loss: 1.9383 2023-12-23 14:53:00,694 - pyskl - INFO - Epoch [57][600/1281] lr: 1.723e-02, eta: 13:36:21, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9962, loss_cls: 1.9695, loss: 1.9695 2023-12-23 14:53:44,834 - pyskl - INFO - Epoch [57][700/1281] lr: 1.721e-02, eta: 13:35:46, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9994, loss_cls: 1.9543, loss: 1.9543 2023-12-23 14:54:29,425 - pyskl - INFO - Epoch [57][800/1281] lr: 1.719e-02, eta: 13:35:11, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9969, loss_cls: 1.9408, loss: 1.9408 2023-12-23 14:55:14,158 - pyskl - INFO - Epoch [57][900/1281] lr: 1.717e-02, eta: 13:34:36, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9962, loss_cls: 2.0298, loss: 2.0298 2023-12-23 14:55:58,295 - pyskl - INFO - Epoch [57][1000/1281] lr: 1.716e-02, eta: 13:34:01, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9944, loss_cls: 2.0329, loss: 2.0329 2023-12-23 14:56:41,438 - pyskl - INFO - Epoch [57][1100/1281] lr: 1.714e-02, eta: 13:33:23, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9988, loss_cls: 1.9598, loss: 1.9598 2023-12-23 14:57:23,703 - pyskl - INFO - Epoch [57][1200/1281] lr: 1.712e-02, eta: 13:32:45, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9944, loss_cls: 1.9749, loss: 1.9749 2023-12-23 14:58:00,316 - pyskl - INFO - Saving checkpoint at 57 epochs 2023-12-23 14:59:08,589 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:59:08,654 - pyskl - INFO - top1_acc 0.8326 top5_acc 0.9846 2023-12-23 14:59:08,654 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:59:08,666 - pyskl - INFO - mean_acc 0.7815 2023-12-23 14:59:08,672 - pyskl - INFO - Epoch(val) [57][533] top1_acc: 0.8326, top5_acc: 0.9846, mean_class_accuracy: 0.7815 2023-12-23 15:00:02,167 - pyskl - INFO - Epoch [58][100/1281] lr: 1.708e-02, eta: 13:30:57, time: 0.535, data_time: 0.222, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9956, loss_cls: 1.9207, loss: 1.9207 2023-12-23 15:00:45,370 - pyskl - INFO - Epoch [58][200/1281] lr: 1.706e-02, eta: 13:30:20, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9975, loss_cls: 1.9092, loss: 1.9092 2023-12-23 15:01:28,310 - pyskl - INFO - Epoch [58][300/1281] lr: 1.704e-02, eta: 13:29:43, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9969, loss_cls: 1.9287, loss: 1.9287 2023-12-23 15:02:10,754 - pyskl - INFO - Epoch [58][400/1281] lr: 1.703e-02, eta: 13:29:04, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9944, loss_cls: 1.9437, loss: 1.9437 2023-12-23 15:02:53,313 - pyskl - INFO - Epoch [58][500/1281] lr: 1.701e-02, eta: 13:28:26, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 1.9636, loss: 1.9636 2023-12-23 15:03:36,355 - pyskl - INFO - Epoch [58][600/1281] lr: 1.699e-02, eta: 13:27:49, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9944, loss_cls: 1.9573, loss: 1.9573 2023-12-23 15:04:20,093 - pyskl - INFO - Epoch [58][700/1281] lr: 1.697e-02, eta: 13:27:12, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 1.9550, loss: 1.9550 2023-12-23 15:05:03,280 - pyskl - INFO - Epoch [58][800/1281] lr: 1.695e-02, eta: 13:26:35, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9988, loss_cls: 1.8709, loss: 1.8709 2023-12-23 15:05:45,918 - pyskl - INFO - Epoch [58][900/1281] lr: 1.693e-02, eta: 13:25:57, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9975, loss_cls: 1.9424, loss: 1.9424 2023-12-23 15:06:28,372 - pyskl - INFO - Epoch [58][1000/1281] lr: 1.691e-02, eta: 13:25:18, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9962, loss_cls: 1.9747, loss: 1.9747 2023-12-23 15:07:10,696 - pyskl - INFO - Epoch [58][1100/1281] lr: 1.689e-02, eta: 13:24:40, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9950, loss_cls: 2.0044, loss: 2.0044 2023-12-23 15:07:53,438 - pyskl - INFO - Epoch [58][1200/1281] lr: 1.687e-02, eta: 13:24:02, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9944, loss_cls: 1.9694, loss: 1.9694 2023-12-23 15:08:30,626 - pyskl - INFO - Saving checkpoint at 58 epochs 2023-12-23 15:09:40,117 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:09:40,187 - pyskl - INFO - top1_acc 0.8388 top5_acc 0.9851 2023-12-23 15:09:40,188 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 15:09:40,208 - pyskl - INFO - mean_acc 0.7854 2023-12-23 15:09:40,213 - pyskl - INFO - Epoch(val) [58][533] top1_acc: 0.8388, top5_acc: 0.9851, mean_class_accuracy: 0.7854 2023-12-23 15:10:35,961 - pyskl - INFO - Epoch [59][100/1281] lr: 1.684e-02, eta: 13:22:19, time: 0.557, data_time: 0.232, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9938, loss_cls: 1.9817, loss: 1.9817 2023-12-23 15:11:18,059 - pyskl - INFO - Epoch [59][200/1281] lr: 1.682e-02, eta: 13:21:40, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9981, loss_cls: 1.8783, loss: 1.8783 2023-12-23 15:12:00,745 - pyskl - INFO - Epoch [59][300/1281] lr: 1.680e-02, eta: 13:21:02, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 1.8762, loss: 1.8762 2023-12-23 15:12:43,561 - pyskl - INFO - Epoch [59][400/1281] lr: 1.678e-02, eta: 13:20:24, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9956, loss_cls: 1.9508, loss: 1.9508 2023-12-23 15:13:28,058 - pyskl - INFO - Epoch [59][500/1281] lr: 1.676e-02, eta: 13:19:49, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9962, loss_cls: 1.9024, loss: 1.9024 2023-12-23 15:14:12,335 - pyskl - INFO - Epoch [59][600/1281] lr: 1.674e-02, eta: 13:19:13, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9944, loss_cls: 1.9905, loss: 1.9905 2023-12-23 15:14:56,006 - pyskl - INFO - Epoch [59][700/1281] lr: 1.672e-02, eta: 13:18:37, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9962, loss_cls: 2.0023, loss: 2.0023 2023-12-23 15:15:39,581 - pyskl - INFO - Epoch [59][800/1281] lr: 1.670e-02, eta: 13:18:00, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9981, loss_cls: 1.9641, loss: 1.9641 2023-12-23 15:16:22,136 - pyskl - INFO - Epoch [59][900/1281] lr: 1.668e-02, eta: 13:17:21, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9969, loss_cls: 1.9383, loss: 1.9383 2023-12-23 15:17:04,971 - pyskl - INFO - Epoch [59][1000/1281] lr: 1.667e-02, eta: 13:16:44, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9956, loss_cls: 1.9172, loss: 1.9172 2023-12-23 15:17:48,354 - pyskl - INFO - Epoch [59][1100/1281] lr: 1.665e-02, eta: 13:16:06, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9944, loss_cls: 1.9641, loss: 1.9641 2023-12-23 15:18:31,103 - pyskl - INFO - Epoch [59][1200/1281] lr: 1.663e-02, eta: 13:15:28, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9938, loss_cls: 1.9515, loss: 1.9515 2023-12-23 15:19:06,371 - pyskl - INFO - Saving checkpoint at 59 epochs 2023-12-23 15:20:16,614 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:20:16,687 - pyskl - INFO - top1_acc 0.8609 top5_acc 0.9884 2023-12-23 15:20:16,687 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 15:20:16,696 - pyskl - INFO - mean_acc 0.8213 2023-12-23 15:20:16,701 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_53.pth was removed 2023-12-23 15:20:16,934 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_59.pth. 2023-12-23 15:20:16,934 - pyskl - INFO - Best top1_acc is 0.8609 at 59 epoch. 2023-12-23 15:20:16,941 - pyskl - INFO - Epoch(val) [59][533] top1_acc: 0.8609, top5_acc: 0.9884, mean_class_accuracy: 0.8213 2023-12-23 15:21:15,156 - pyskl - INFO - Epoch [60][100/1281] lr: 1.659e-02, eta: 13:13:50, time: 0.582, data_time: 0.237, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9950, loss_cls: 1.9169, loss: 1.9169 2023-12-23 15:21:57,842 - pyskl - INFO - Epoch [60][200/1281] lr: 1.657e-02, eta: 13:13:12, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 1.9096, loss: 1.9096 2023-12-23 15:22:40,953 - pyskl - INFO - Epoch [60][300/1281] lr: 1.655e-02, eta: 13:12:34, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9962, loss_cls: 1.9908, loss: 1.9908 2023-12-23 15:23:25,430 - pyskl - INFO - Epoch [60][400/1281] lr: 1.653e-02, eta: 13:11:59, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9962, loss_cls: 1.9268, loss: 1.9268 2023-12-23 15:24:09,874 - pyskl - INFO - Epoch [60][500/1281] lr: 1.651e-02, eta: 13:11:23, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9969, loss_cls: 1.9331, loss: 1.9331 2023-12-23 15:24:53,559 - pyskl - INFO - Epoch [60][600/1281] lr: 1.650e-02, eta: 13:10:47, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9956, loss_cls: 1.9250, loss: 1.9250 2023-12-23 15:25:35,864 - pyskl - INFO - Epoch [60][700/1281] lr: 1.648e-02, eta: 13:10:08, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9969, loss_cls: 1.9288, loss: 1.9288 2023-12-23 15:26:17,893 - pyskl - INFO - Epoch [60][800/1281] lr: 1.646e-02, eta: 13:09:29, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9969, loss_cls: 1.9547, loss: 1.9547 2023-12-23 15:27:00,314 - pyskl - INFO - Epoch [60][900/1281] lr: 1.644e-02, eta: 13:08:50, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9962, loss_cls: 1.9020, loss: 1.9020 2023-12-23 15:27:42,715 - pyskl - INFO - Epoch [60][1000/1281] lr: 1.642e-02, eta: 13:08:11, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9981, loss_cls: 1.9687, loss: 1.9687 2023-12-23 15:28:25,179 - pyskl - INFO - Epoch [60][1100/1281] lr: 1.640e-02, eta: 13:07:33, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9925, loss_cls: 1.9729, loss: 1.9729 2023-12-23 15:29:08,014 - pyskl - INFO - Epoch [60][1200/1281] lr: 1.638e-02, eta: 13:06:55, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9944, loss_cls: 1.9754, loss: 1.9754 2023-12-23 15:29:43,816 - pyskl - INFO - Saving checkpoint at 60 epochs 2023-12-23 15:30:48,494 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:30:48,554 - pyskl - INFO - top1_acc 0.8282 top5_acc 0.9851 2023-12-23 15:30:48,554 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 15:30:48,563 - pyskl - INFO - mean_acc 0.7872 2023-12-23 15:30:48,567 - pyskl - INFO - Epoch(val) [60][533] top1_acc: 0.8282, top5_acc: 0.9851, mean_class_accuracy: 0.7872 2023-12-23 15:31:45,203 - pyskl - INFO - Epoch [61][100/1281] lr: 1.634e-02, eta: 13:05:14, time: 0.566, data_time: 0.238, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9975, loss_cls: 1.8858, loss: 1.8858 2023-12-23 15:32:29,877 - pyskl - INFO - Epoch [61][200/1281] lr: 1.632e-02, eta: 13:04:39, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9988, loss_cls: 1.8770, loss: 1.8770 2023-12-23 15:33:13,518 - pyskl - INFO - Epoch [61][300/1281] lr: 1.630e-02, eta: 13:04:02, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9994, loss_cls: 1.9330, loss: 1.9330 2023-12-23 15:33:55,436 - pyskl - INFO - Epoch [61][400/1281] lr: 1.629e-02, eta: 13:03:23, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9975, loss_cls: 1.9221, loss: 1.9221 2023-12-23 15:34:37,879 - pyskl - INFO - Epoch [61][500/1281] lr: 1.627e-02, eta: 13:02:44, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9931, loss_cls: 2.0617, loss: 2.0617 2023-12-23 15:35:20,371 - pyskl - INFO - Epoch [61][600/1281] lr: 1.625e-02, eta: 13:02:06, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9994, loss_cls: 1.9373, loss: 1.9373 2023-12-23 15:36:04,234 - pyskl - INFO - Epoch [61][700/1281] lr: 1.623e-02, eta: 13:01:29, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9956, loss_cls: 1.9847, loss: 1.9847 2023-12-23 15:36:48,588 - pyskl - INFO - Epoch [61][800/1281] lr: 1.621e-02, eta: 13:00:53, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9962, loss_cls: 1.9105, loss: 1.9105 2023-12-23 15:37:31,997 - pyskl - INFO - Epoch [61][900/1281] lr: 1.619e-02, eta: 13:00:16, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 1.9374, loss: 1.9374 2023-12-23 15:38:16,088 - pyskl - INFO - Epoch [61][1000/1281] lr: 1.617e-02, eta: 12:59:40, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9931, loss_cls: 1.9734, loss: 1.9734 2023-12-23 15:39:00,446 - pyskl - INFO - Epoch [61][1100/1281] lr: 1.615e-02, eta: 12:59:04, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9956, loss_cls: 1.9570, loss: 1.9570 2023-12-23 15:39:44,898 - pyskl - INFO - Epoch [61][1200/1281] lr: 1.613e-02, eta: 12:58:28, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9944, loss_cls: 1.9963, loss: 1.9963 2023-12-23 15:40:21,824 - pyskl - INFO - Saving checkpoint at 61 epochs 2023-12-23 15:41:29,792 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:41:29,853 - pyskl - INFO - top1_acc 0.8537 top5_acc 0.9889 2023-12-23 15:41:29,853 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 15:41:29,868 - pyskl - INFO - mean_acc 0.8104 2023-12-23 15:41:29,872 - pyskl - INFO - Epoch(val) [61][533] top1_acc: 0.8537, top5_acc: 0.9889, mean_class_accuracy: 0.8104 2023-12-23 15:42:25,460 - pyskl - INFO - Epoch [62][100/1281] lr: 1.609e-02, eta: 12:56:47, time: 0.556, data_time: 0.221, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9994, loss_cls: 1.8654, loss: 1.8654 2023-12-23 15:43:09,845 - pyskl - INFO - Epoch [62][200/1281] lr: 1.607e-02, eta: 12:56:11, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9981, loss_cls: 1.8720, loss: 1.8720 2023-12-23 15:43:52,419 - pyskl - INFO - Epoch [62][300/1281] lr: 1.605e-02, eta: 12:55:33, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9969, loss_cls: 1.9018, loss: 1.9018 2023-12-23 15:44:34,683 - pyskl - INFO - Epoch [62][400/1281] lr: 1.603e-02, eta: 12:54:54, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9956, loss_cls: 1.8680, loss: 1.8680 2023-12-23 15:45:16,914 - pyskl - INFO - Epoch [62][500/1281] lr: 1.602e-02, eta: 12:54:15, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9956, loss_cls: 1.9165, loss: 1.9165 2023-12-23 15:46:00,046 - pyskl - INFO - Epoch [62][600/1281] lr: 1.600e-02, eta: 12:53:37, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9962, loss_cls: 1.9883, loss: 1.9883 2023-12-23 15:46:44,340 - pyskl - INFO - Epoch [62][700/1281] lr: 1.598e-02, eta: 12:53:01, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 1.9230, loss: 1.9230 2023-12-23 15:47:28,815 - pyskl - INFO - Epoch [62][800/1281] lr: 1.596e-02, eta: 12:52:25, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9994, loss_cls: 1.9099, loss: 1.9099 2023-12-23 15:48:12,877 - pyskl - INFO - Epoch [62][900/1281] lr: 1.594e-02, eta: 12:51:48, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9969, loss_cls: 2.0313, loss: 2.0313 2023-12-23 15:48:56,478 - pyskl - INFO - Epoch [62][1000/1281] lr: 1.592e-02, eta: 12:51:11, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9950, loss_cls: 1.9354, loss: 1.9354 2023-12-23 15:49:40,113 - pyskl - INFO - Epoch [62][1100/1281] lr: 1.590e-02, eta: 12:50:34, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9981, loss_cls: 1.9682, loss: 1.9682 2023-12-23 15:50:22,429 - pyskl - INFO - Epoch [62][1200/1281] lr: 1.588e-02, eta: 12:49:55, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9944, loss_cls: 1.9533, loss: 1.9533 2023-12-23 15:50:57,829 - pyskl - INFO - Saving checkpoint at 62 epochs 2023-12-23 15:52:08,108 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:52:08,184 - pyskl - INFO - top1_acc 0.8493 top5_acc 0.9904 2023-12-23 15:52:08,184 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 15:52:08,194 - pyskl - INFO - mean_acc 0.8042 2023-12-23 15:52:08,197 - pyskl - INFO - Epoch(val) [62][533] top1_acc: 0.8493, top5_acc: 0.9904, mean_class_accuracy: 0.8042 2023-12-23 15:53:05,764 - pyskl - INFO - Epoch [63][100/1281] lr: 1.584e-02, eta: 12:48:18, time: 0.576, data_time: 0.234, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9956, loss_cls: 1.8708, loss: 1.8708 2023-12-23 15:53:49,337 - pyskl - INFO - Epoch [63][200/1281] lr: 1.582e-02, eta: 12:47:40, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9956, loss_cls: 1.8442, loss: 1.8442 2023-12-23 15:54:33,533 - pyskl - INFO - Epoch [63][300/1281] lr: 1.580e-02, eta: 12:47:04, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9956, loss_cls: 1.8879, loss: 1.8879 2023-12-23 15:55:16,950 - pyskl - INFO - Epoch [63][400/1281] lr: 1.578e-02, eta: 12:46:27, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 1.8303, loss: 1.8303 2023-12-23 15:55:59,080 - pyskl - INFO - Epoch [63][500/1281] lr: 1.576e-02, eta: 12:45:47, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9988, loss_cls: 1.8360, loss: 1.8360 2023-12-23 15:56:43,419 - pyskl - INFO - Epoch [63][600/1281] lr: 1.574e-02, eta: 12:45:11, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9975, loss_cls: 1.8694, loss: 1.8694 2023-12-23 15:57:27,333 - pyskl - INFO - Epoch [63][700/1281] lr: 1.572e-02, eta: 12:44:34, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9938, loss_cls: 1.9419, loss: 1.9419 2023-12-23 15:58:11,678 - pyskl - INFO - Epoch [63][800/1281] lr: 1.570e-02, eta: 12:43:58, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9956, loss_cls: 1.9361, loss: 1.9361 2023-12-23 15:58:55,533 - pyskl - INFO - Epoch [63][900/1281] lr: 1.568e-02, eta: 12:43:21, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9981, loss_cls: 2.0418, loss: 2.0418 2023-12-23 15:59:37,755 - pyskl - INFO - Epoch [63][1000/1281] lr: 1.566e-02, eta: 12:42:42, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9962, loss_cls: 1.9782, loss: 1.9782 2023-12-23 16:00:20,112 - pyskl - INFO - Epoch [63][1100/1281] lr: 1.564e-02, eta: 12:42:03, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9969, loss_cls: 1.9124, loss: 1.9124 2023-12-23 16:01:02,484 - pyskl - INFO - Epoch [63][1200/1281] lr: 1.562e-02, eta: 12:41:24, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9925, loss_cls: 1.9486, loss: 1.9486 2023-12-23 16:01:37,942 - pyskl - INFO - Saving checkpoint at 63 epochs 2023-12-23 16:02:47,353 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:02:47,421 - pyskl - INFO - top1_acc 0.8521 top5_acc 0.9860 2023-12-23 16:02:47,421 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:02:47,431 - pyskl - INFO - mean_acc 0.8148 2023-12-23 16:02:47,435 - pyskl - INFO - Epoch(val) [63][533] top1_acc: 0.8521, top5_acc: 0.9860, mean_class_accuracy: 0.8148 2023-12-23 16:03:37,115 - pyskl - INFO - Epoch [64][100/1281] lr: 1.559e-02, eta: 12:39:36, time: 0.497, data_time: 0.187, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9962, loss_cls: 1.9552, loss: 1.9552 2023-12-23 16:04:21,546 - pyskl - INFO - Epoch [64][200/1281] lr: 1.557e-02, eta: 12:39:00, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9975, loss_cls: 1.8744, loss: 1.8744 2023-12-23 16:05:04,555 - pyskl - INFO - Epoch [64][300/1281] lr: 1.555e-02, eta: 12:38:22, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 1.9055, loss: 1.9055 2023-12-23 16:05:47,612 - pyskl - INFO - Epoch [64][400/1281] lr: 1.553e-02, eta: 12:37:44, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9981, loss_cls: 1.8669, loss: 1.8669 2023-12-23 16:06:30,009 - pyskl - INFO - Epoch [64][500/1281] lr: 1.551e-02, eta: 12:37:05, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 1.8628, loss: 1.8628 2023-12-23 16:07:11,973 - pyskl - INFO - Epoch [64][600/1281] lr: 1.549e-02, eta: 12:36:25, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 1.9008, loss: 1.9008 2023-12-23 16:07:54,542 - pyskl - INFO - Epoch [64][700/1281] lr: 1.547e-02, eta: 12:35:47, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9956, loss_cls: 1.9548, loss: 1.9548 2023-12-23 16:08:37,457 - pyskl - INFO - Epoch [64][800/1281] lr: 1.545e-02, eta: 12:35:08, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9969, loss_cls: 1.8826, loss: 1.8826 2023-12-23 16:09:20,460 - pyskl - INFO - Epoch [64][900/1281] lr: 1.543e-02, eta: 12:34:30, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9962, loss_cls: 1.9223, loss: 1.9223 2023-12-23 16:10:04,873 - pyskl - INFO - Epoch [64][1000/1281] lr: 1.541e-02, eta: 12:33:54, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9969, loss_cls: 1.9532, loss: 1.9532 2023-12-23 16:10:48,230 - pyskl - INFO - Epoch [64][1100/1281] lr: 1.539e-02, eta: 12:33:16, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9950, loss_cls: 1.9092, loss: 1.9092 2023-12-23 16:11:31,804 - pyskl - INFO - Epoch [64][1200/1281] lr: 1.537e-02, eta: 12:32:39, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9950, loss_cls: 1.8964, loss: 1.8964 2023-12-23 16:12:07,288 - pyskl - INFO - Saving checkpoint at 64 epochs 2023-12-23 16:13:14,937 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:13:14,997 - pyskl - INFO - top1_acc 0.8514 top5_acc 0.9854 2023-12-23 16:13:14,997 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:13:15,006 - pyskl - INFO - mean_acc 0.8182 2023-12-23 16:13:15,009 - pyskl - INFO - Epoch(val) [64][533] top1_acc: 0.8514, top5_acc: 0.9854, mean_class_accuracy: 0.8182 2023-12-23 16:14:09,915 - pyskl - INFO - Epoch [65][100/1281] lr: 1.533e-02, eta: 12:30:59, time: 0.549, data_time: 0.239, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 1.8159, loss: 1.8159 2023-12-23 16:14:54,107 - pyskl - INFO - Epoch [65][200/1281] lr: 1.531e-02, eta: 12:30:22, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 1.8160, loss: 1.8160 2023-12-23 16:15:37,597 - pyskl - INFO - Epoch [65][300/1281] lr: 1.529e-02, eta: 12:29:45, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 1.8719, loss: 1.8719 2023-12-23 16:16:22,120 - pyskl - INFO - Epoch [65][400/1281] lr: 1.527e-02, eta: 12:29:08, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 1.8578, loss: 1.8578 2023-12-23 16:17:06,750 - pyskl - INFO - Epoch [65][500/1281] lr: 1.526e-02, eta: 12:28:32, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 1.8661, loss: 1.8661 2023-12-23 16:17:50,131 - pyskl - INFO - Epoch [65][600/1281] lr: 1.524e-02, eta: 12:27:55, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9994, loss_cls: 1.8949, loss: 1.8949 2023-12-23 16:18:32,395 - pyskl - INFO - Epoch [65][700/1281] lr: 1.522e-02, eta: 12:27:15, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9969, loss_cls: 1.9094, loss: 1.9094 2023-12-23 16:19:14,904 - pyskl - INFO - Epoch [65][800/1281] lr: 1.520e-02, eta: 12:26:36, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9956, loss_cls: 1.9364, loss: 1.9364 2023-12-23 16:19:59,212 - pyskl - INFO - Epoch [65][900/1281] lr: 1.518e-02, eta: 12:26:00, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9994, loss_cls: 1.8657, loss: 1.8657 2023-12-23 16:20:42,345 - pyskl - INFO - Epoch [65][1000/1281] lr: 1.516e-02, eta: 12:25:22, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 1.8803, loss: 1.8803 2023-12-23 16:21:24,623 - pyskl - INFO - Epoch [65][1100/1281] lr: 1.514e-02, eta: 12:24:43, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9962, loss_cls: 1.9161, loss: 1.9161 2023-12-23 16:22:06,890 - pyskl - INFO - Epoch [65][1200/1281] lr: 1.512e-02, eta: 12:24:03, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9981, loss_cls: 1.9187, loss: 1.9187 2023-12-23 16:22:42,113 - pyskl - INFO - Saving checkpoint at 65 epochs 2023-12-23 16:23:48,040 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:23:48,111 - pyskl - INFO - top1_acc 0.8558 top5_acc 0.9873 2023-12-23 16:23:48,111 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:23:48,122 - pyskl - INFO - mean_acc 0.8145 2023-12-23 16:23:48,127 - pyskl - INFO - Epoch(val) [65][533] top1_acc: 0.8558, top5_acc: 0.9873, mean_class_accuracy: 0.8145 2023-12-23 16:24:45,136 - pyskl - INFO - Epoch [66][100/1281] lr: 1.508e-02, eta: 12:22:27, time: 0.570, data_time: 0.240, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9988, loss_cls: 1.8342, loss: 1.8342 2023-12-23 16:25:28,974 - pyskl - INFO - Epoch [66][200/1281] lr: 1.506e-02, eta: 12:21:50, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9969, loss_cls: 1.8405, loss: 1.8405 2023-12-23 16:26:13,522 - pyskl - INFO - Epoch [66][300/1281] lr: 1.504e-02, eta: 12:21:13, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9981, loss_cls: 1.8938, loss: 1.8938 2023-12-23 16:26:57,998 - pyskl - INFO - Epoch [66][400/1281] lr: 1.502e-02, eta: 12:20:37, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9969, loss_cls: 1.9078, loss: 1.9078 2023-12-23 16:27:40,657 - pyskl - INFO - Epoch [66][500/1281] lr: 1.500e-02, eta: 12:19:58, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9988, loss_cls: 1.8916, loss: 1.8916 2023-12-23 16:28:24,262 - pyskl - INFO - Epoch [66][600/1281] lr: 1.498e-02, eta: 12:19:21, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9988, loss_cls: 1.8771, loss: 1.8771 2023-12-23 16:29:08,090 - pyskl - INFO - Epoch [66][700/1281] lr: 1.496e-02, eta: 12:18:43, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9975, loss_cls: 1.8901, loss: 1.8901 2023-12-23 16:29:52,128 - pyskl - INFO - Epoch [66][800/1281] lr: 1.494e-02, eta: 12:18:06, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9981, loss_cls: 1.9102, loss: 1.9102 2023-12-23 16:30:36,612 - pyskl - INFO - Epoch [66][900/1281] lr: 1.492e-02, eta: 12:17:30, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 1.9015, loss: 1.9015 2023-12-23 16:31:21,006 - pyskl - INFO - Epoch [66][1000/1281] lr: 1.490e-02, eta: 12:16:53, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9969, loss_cls: 1.8973, loss: 1.8973 2023-12-23 16:32:05,135 - pyskl - INFO - Epoch [66][1100/1281] lr: 1.488e-02, eta: 12:16:16, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9950, loss_cls: 1.8818, loss: 1.8818 2023-12-23 16:32:49,423 - pyskl - INFO - Epoch [66][1200/1281] lr: 1.486e-02, eta: 12:15:39, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9981, loss_cls: 1.9878, loss: 1.9878 2023-12-23 16:33:26,465 - pyskl - INFO - Saving checkpoint at 66 epochs 2023-12-23 16:34:35,545 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:34:35,627 - pyskl - INFO - top1_acc 0.8302 top5_acc 0.9839 2023-12-23 16:34:35,628 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:34:35,643 - pyskl - INFO - mean_acc 0.7878 2023-12-23 16:34:35,650 - pyskl - INFO - Epoch(val) [66][533] top1_acc: 0.8302, top5_acc: 0.9839, mean_class_accuracy: 0.7878 2023-12-23 16:35:28,300 - pyskl - INFO - Epoch [67][100/1281] lr: 1.482e-02, eta: 12:13:58, time: 0.526, data_time: 0.209, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9981, loss_cls: 1.9059, loss: 1.9059 2023-12-23 16:36:10,383 - pyskl - INFO - Epoch [67][200/1281] lr: 1.480e-02, eta: 12:13:18, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9975, loss_cls: 1.9302, loss: 1.9302 2023-12-23 16:36:54,114 - pyskl - INFO - Epoch [67][300/1281] lr: 1.478e-02, eta: 12:12:41, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9988, loss_cls: 1.8306, loss: 1.8306 2023-12-23 16:37:36,704 - pyskl - INFO - Epoch [67][400/1281] lr: 1.476e-02, eta: 12:12:02, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 1.8796, loss: 1.8796 2023-12-23 16:38:19,777 - pyskl - INFO - Epoch [67][500/1281] lr: 1.474e-02, eta: 12:11:24, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9988, loss_cls: 1.8225, loss: 1.8225 2023-12-23 16:39:03,867 - pyskl - INFO - Epoch [67][600/1281] lr: 1.472e-02, eta: 12:10:47, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9956, loss_cls: 1.8935, loss: 1.8935 2023-12-23 16:39:47,219 - pyskl - INFO - Epoch [67][700/1281] lr: 1.470e-02, eta: 12:10:09, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9969, loss_cls: 1.8854, loss: 1.8854 2023-12-23 16:40:31,891 - pyskl - INFO - Epoch [67][800/1281] lr: 1.468e-02, eta: 12:09:32, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9962, loss_cls: 1.9549, loss: 1.9549 2023-12-23 16:41:16,190 - pyskl - INFO - Epoch [67][900/1281] lr: 1.466e-02, eta: 12:08:55, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9969, loss_cls: 1.9874, loss: 1.9874 2023-12-23 16:41:59,157 - pyskl - INFO - Epoch [67][1000/1281] lr: 1.464e-02, eta: 12:08:17, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9969, loss_cls: 1.9765, loss: 1.9765 2023-12-23 16:42:43,586 - pyskl - INFO - Epoch [67][1100/1281] lr: 1.462e-02, eta: 12:07:40, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9988, loss_cls: 1.8808, loss: 1.8808 2023-12-23 16:43:27,191 - pyskl - INFO - Epoch [67][1200/1281] lr: 1.460e-02, eta: 12:07:02, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 1.8330, loss: 1.8330 2023-12-23 16:44:04,220 - pyskl - INFO - Saving checkpoint at 67 epochs 2023-12-23 16:45:14,163 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:45:14,235 - pyskl - INFO - top1_acc 0.8661 top5_acc 0.9901 2023-12-23 16:45:14,235 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:45:14,250 - pyskl - INFO - mean_acc 0.8337 2023-12-23 16:45:14,265 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_59.pth was removed 2023-12-23 16:45:14,556 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_67.pth. 2023-12-23 16:45:14,557 - pyskl - INFO - Best top1_acc is 0.8661 at 67 epoch. 2023-12-23 16:45:14,566 - pyskl - INFO - Epoch(val) [67][533] top1_acc: 0.8661, top5_acc: 0.9901, mean_class_accuracy: 0.8337 2023-12-23 16:46:12,230 - pyskl - INFO - Epoch [68][100/1281] lr: 1.456e-02, eta: 12:05:28, time: 0.577, data_time: 0.233, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9981, loss_cls: 1.8440, loss: 1.8440 2023-12-23 16:46:55,472 - pyskl - INFO - Epoch [68][200/1281] lr: 1.454e-02, eta: 12:04:49, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9956, loss_cls: 1.9421, loss: 1.9421 2023-12-23 16:47:37,621 - pyskl - INFO - Epoch [68][300/1281] lr: 1.452e-02, eta: 12:04:10, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9975, loss_cls: 1.8616, loss: 1.8616 2023-12-23 16:48:20,569 - pyskl - INFO - Epoch [68][400/1281] lr: 1.450e-02, eta: 12:03:31, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9962, loss_cls: 1.8689, loss: 1.8689 2023-12-23 16:49:04,979 - pyskl - INFO - Epoch [68][500/1281] lr: 1.448e-02, eta: 12:02:55, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9975, loss_cls: 1.8466, loss: 1.8466 2023-12-23 16:49:49,441 - pyskl - INFO - Epoch [68][600/1281] lr: 1.446e-02, eta: 12:02:18, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9981, loss_cls: 1.9094, loss: 1.9094 2023-12-23 16:50:31,730 - pyskl - INFO - Epoch [68][700/1281] lr: 1.444e-02, eta: 12:01:38, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 1.8921, loss: 1.8921 2023-12-23 16:51:14,746 - pyskl - INFO - Epoch [68][800/1281] lr: 1.442e-02, eta: 12:01:00, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9969, loss_cls: 1.8879, loss: 1.8879 2023-12-23 16:51:59,069 - pyskl - INFO - Epoch [68][900/1281] lr: 1.440e-02, eta: 12:00:23, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9962, loss_cls: 1.8666, loss: 1.8666 2023-12-23 16:52:43,394 - pyskl - INFO - Epoch [68][1000/1281] lr: 1.438e-02, eta: 11:59:46, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9981, loss_cls: 1.8490, loss: 1.8490 2023-12-23 16:53:26,594 - pyskl - INFO - Epoch [68][1100/1281] lr: 1.436e-02, eta: 11:59:08, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9988, loss_cls: 1.8702, loss: 1.8702 2023-12-23 16:54:10,460 - pyskl - INFO - Epoch [68][1200/1281] lr: 1.434e-02, eta: 11:58:30, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 1.8879, loss: 1.8879 2023-12-23 16:54:47,050 - pyskl - INFO - Saving checkpoint at 68 epochs 2023-12-23 16:55:57,746 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:55:57,826 - pyskl - INFO - top1_acc 0.8058 top5_acc 0.9785 2023-12-23 16:55:57,826 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:55:57,845 - pyskl - INFO - mean_acc 0.7773 2023-12-23 16:55:57,852 - pyskl - INFO - Epoch(val) [68][533] top1_acc: 0.8058, top5_acc: 0.9785, mean_class_accuracy: 0.7773 2023-12-23 16:56:55,494 - pyskl - INFO - Epoch [69][100/1281] lr: 1.431e-02, eta: 11:56:56, time: 0.576, data_time: 0.231, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9994, loss_cls: 1.8550, loss: 1.8550 2023-12-23 16:57:38,002 - pyskl - INFO - Epoch [69][200/1281] lr: 1.429e-02, eta: 11:56:17, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9981, loss_cls: 1.8873, loss: 1.8873 2023-12-23 16:58:21,296 - pyskl - INFO - Epoch [69][300/1281] lr: 1.427e-02, eta: 11:55:38, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9988, loss_cls: 1.8655, loss: 1.8655 2023-12-23 16:59:05,826 - pyskl - INFO - Epoch [69][400/1281] lr: 1.425e-02, eta: 11:55:02, time: 0.445, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9969, loss_cls: 1.9346, loss: 1.9346 2023-12-23 16:59:49,619 - pyskl - INFO - Epoch [69][500/1281] lr: 1.423e-02, eta: 11:54:24, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9969, loss_cls: 1.9326, loss: 1.9326 2023-12-23 17:00:33,131 - pyskl - INFO - Epoch [69][600/1281] lr: 1.420e-02, eta: 11:53:46, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9975, loss_cls: 1.8162, loss: 1.8162 2023-12-23 17:01:17,310 - pyskl - INFO - Epoch [69][700/1281] lr: 1.418e-02, eta: 11:53:09, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9956, loss_cls: 1.8556, loss: 1.8556 2023-12-23 17:01:59,353 - pyskl - INFO - Epoch [69][800/1281] lr: 1.416e-02, eta: 11:52:29, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9975, loss_cls: 1.8665, loss: 1.8665 2023-12-23 17:02:41,731 - pyskl - INFO - Epoch [69][900/1281] lr: 1.414e-02, eta: 11:51:50, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9981, loss_cls: 1.8945, loss: 1.8945 2023-12-23 17:03:24,324 - pyskl - INFO - Epoch [69][1000/1281] lr: 1.412e-02, eta: 11:51:10, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9956, loss_cls: 1.9115, loss: 1.9115 2023-12-23 17:04:06,805 - pyskl - INFO - Epoch [69][1100/1281] lr: 1.410e-02, eta: 11:50:31, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9950, loss_cls: 1.9405, loss: 1.9405 2023-12-23 17:04:51,043 - pyskl - INFO - Epoch [69][1200/1281] lr: 1.408e-02, eta: 11:49:54, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9988, loss_cls: 1.8766, loss: 1.8766 2023-12-23 17:05:27,161 - pyskl - INFO - Saving checkpoint at 69 epochs 2023-12-23 17:06:38,685 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:06:38,747 - pyskl - INFO - top1_acc 0.8445 top5_acc 0.9840 2023-12-23 17:06:38,747 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 17:06:38,755 - pyskl - INFO - mean_acc 0.8027 2023-12-23 17:06:38,757 - pyskl - INFO - Epoch(val) [69][533] top1_acc: 0.8445, top5_acc: 0.9840, mean_class_accuracy: 0.8027 2023-12-23 17:07:37,585 - pyskl - INFO - Epoch [70][100/1281] lr: 1.405e-02, eta: 11:48:22, time: 0.588, data_time: 0.237, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 1.8255, loss: 1.8255 2023-12-23 17:08:20,748 - pyskl - INFO - Epoch [70][200/1281] lr: 1.403e-02, eta: 11:47:43, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 1.7394, loss: 1.7394 2023-12-23 17:09:02,913 - pyskl - INFO - Epoch [70][300/1281] lr: 1.401e-02, eta: 11:47:03, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9988, loss_cls: 1.8156, loss: 1.8156 2023-12-23 17:09:46,431 - pyskl - INFO - Epoch [70][400/1281] lr: 1.399e-02, eta: 11:46:25, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9975, loss_cls: 1.8330, loss: 1.8330 2023-12-23 17:10:30,590 - pyskl - INFO - Epoch [70][500/1281] lr: 1.397e-02, eta: 11:45:48, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 1.7989, loss: 1.7989 2023-12-23 17:11:15,028 - pyskl - INFO - Epoch [70][600/1281] lr: 1.395e-02, eta: 11:45:11, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9994, loss_cls: 1.8467, loss: 1.8467 2023-12-23 17:11:59,259 - pyskl - INFO - Epoch [70][700/1281] lr: 1.392e-02, eta: 11:44:34, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9975, loss_cls: 1.9259, loss: 1.9259 2023-12-23 17:12:42,798 - pyskl - INFO - Epoch [70][800/1281] lr: 1.390e-02, eta: 11:43:56, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 1.0000, loss_cls: 1.7947, loss: 1.7947 2023-12-23 17:13:27,449 - pyskl - INFO - Epoch [70][900/1281] lr: 1.388e-02, eta: 11:43:19, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9969, loss_cls: 1.9062, loss: 1.9062 2023-12-23 17:14:12,042 - pyskl - INFO - Epoch [70][1000/1281] lr: 1.386e-02, eta: 11:42:42, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9956, loss_cls: 1.8667, loss: 1.8667 2023-12-23 17:14:56,376 - pyskl - INFO - Epoch [70][1100/1281] lr: 1.384e-02, eta: 11:42:05, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9962, loss_cls: 1.9274, loss: 1.9274 2023-12-23 17:15:38,876 - pyskl - INFO - Epoch [70][1200/1281] lr: 1.382e-02, eta: 11:41:25, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9944, loss_cls: 1.8943, loss: 1.8943 2023-12-23 17:16:14,554 - pyskl - INFO - Saving checkpoint at 70 epochs 2023-12-23 17:17:24,262 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:17:24,325 - pyskl - INFO - top1_acc 0.8484 top5_acc 0.9876 2023-12-23 17:17:24,325 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 17:17:24,333 - pyskl - INFO - mean_acc 0.8147 2023-12-23 17:17:24,335 - pyskl - INFO - Epoch(val) [70][533] top1_acc: 0.8484, top5_acc: 0.9876, mean_class_accuracy: 0.8147 2023-12-23 17:18:22,306 - pyskl - INFO - Epoch [71][100/1281] lr: 1.379e-02, eta: 11:39:52, time: 0.580, data_time: 0.234, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9994, loss_cls: 1.8282, loss: 1.8282 2023-12-23 17:19:06,914 - pyskl - INFO - Epoch [71][200/1281] lr: 1.377e-02, eta: 11:39:15, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9950, loss_cls: 1.8475, loss: 1.8475 2023-12-23 17:19:51,020 - pyskl - INFO - Epoch [71][300/1281] lr: 1.375e-02, eta: 11:38:38, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9981, loss_cls: 1.8063, loss: 1.8063 2023-12-23 17:20:34,735 - pyskl - INFO - Epoch [71][400/1281] lr: 1.373e-02, eta: 11:38:00, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 1.7858, loss: 1.7858 2023-12-23 17:21:19,296 - pyskl - INFO - Epoch [71][500/1281] lr: 1.371e-02, eta: 11:37:23, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9988, loss_cls: 1.8581, loss: 1.8581 2023-12-23 17:22:03,522 - pyskl - INFO - Epoch [71][600/1281] lr: 1.368e-02, eta: 11:36:45, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9988, loss_cls: 1.8365, loss: 1.8365 2023-12-23 17:22:47,742 - pyskl - INFO - Epoch [71][700/1281] lr: 1.366e-02, eta: 11:36:08, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9994, loss_cls: 1.8577, loss: 1.8577 2023-12-23 17:23:31,751 - pyskl - INFO - Epoch [71][800/1281] lr: 1.364e-02, eta: 11:35:30, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9975, loss_cls: 1.9176, loss: 1.9176 2023-12-23 17:24:14,877 - pyskl - INFO - Epoch [71][900/1281] lr: 1.362e-02, eta: 11:34:52, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 1.8573, loss: 1.8573 2023-12-23 17:24:57,956 - pyskl - INFO - Epoch [71][1000/1281] lr: 1.360e-02, eta: 11:34:13, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 1.8932, loss: 1.8932 2023-12-23 17:25:40,334 - pyskl - INFO - Epoch [71][1100/1281] lr: 1.358e-02, eta: 11:33:33, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9988, loss_cls: 1.8535, loss: 1.8535 2023-12-23 17:26:24,133 - pyskl - INFO - Epoch [71][1200/1281] lr: 1.356e-02, eta: 11:32:55, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9969, loss_cls: 1.8148, loss: 1.8148 2023-12-23 17:27:00,721 - pyskl - INFO - Saving checkpoint at 71 epochs 2023-12-23 17:28:07,290 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:28:07,368 - pyskl - INFO - top1_acc 0.8546 top5_acc 0.9889 2023-12-23 17:28:07,368 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 17:28:07,379 - pyskl - INFO - mean_acc 0.8067 2023-12-23 17:28:07,388 - pyskl - INFO - Epoch(val) [71][533] top1_acc: 0.8546, top5_acc: 0.9889, mean_class_accuracy: 0.8067 2023-12-23 17:29:06,989 - pyskl - INFO - Epoch [72][100/1281] lr: 1.353e-02, eta: 11:31:25, time: 0.596, data_time: 0.244, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 1.8107, loss: 1.8107 2023-12-23 17:29:49,588 - pyskl - INFO - Epoch [72][200/1281] lr: 1.351e-02, eta: 11:30:45, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 1.7383, loss: 1.7383 2023-12-23 17:30:31,968 - pyskl - INFO - Epoch [72][300/1281] lr: 1.349e-02, eta: 11:30:06, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 1.8352, loss: 1.8352 2023-12-23 17:31:14,644 - pyskl - INFO - Epoch [72][400/1281] lr: 1.346e-02, eta: 11:29:27, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9981, loss_cls: 1.8572, loss: 1.8572 2023-12-23 17:31:59,175 - pyskl - INFO - Epoch [72][500/1281] lr: 1.344e-02, eta: 11:28:49, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 1.8366, loss: 1.8366 2023-12-23 17:32:43,688 - pyskl - INFO - Epoch [72][600/1281] lr: 1.342e-02, eta: 11:28:12, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9981, loss_cls: 1.8801, loss: 1.8801 2023-12-23 17:33:27,933 - pyskl - INFO - Epoch [72][700/1281] lr: 1.340e-02, eta: 11:27:35, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9988, loss_cls: 1.8573, loss: 1.8573 2023-12-23 17:34:10,665 - pyskl - INFO - Epoch [72][800/1281] lr: 1.338e-02, eta: 11:26:55, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9981, loss_cls: 1.8372, loss: 1.8372 2023-12-23 17:34:52,977 - pyskl - INFO - Epoch [72][900/1281] lr: 1.336e-02, eta: 11:26:16, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 1.8583, loss: 1.8583 2023-12-23 17:35:35,956 - pyskl - INFO - Epoch [72][1000/1281] lr: 1.334e-02, eta: 11:25:37, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9994, loss_cls: 1.8268, loss: 1.8268 2023-12-23 17:36:18,317 - pyskl - INFO - Epoch [72][1100/1281] lr: 1.332e-02, eta: 11:24:57, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9981, loss_cls: 1.8824, loss: 1.8824 2023-12-23 17:37:03,086 - pyskl - INFO - Epoch [72][1200/1281] lr: 1.330e-02, eta: 11:24:20, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 1.8540, loss: 1.8540 2023-12-23 17:37:42,002 - pyskl - INFO - Saving checkpoint at 72 epochs 2023-12-23 17:38:59,417 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:38:59,490 - pyskl - INFO - top1_acc 0.8446 top5_acc 0.9865 2023-12-23 17:38:59,490 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 17:38:59,502 - pyskl - INFO - mean_acc 0.8205 2023-12-23 17:38:59,510 - pyskl - INFO - Epoch(val) [72][533] top1_acc: 0.8446, top5_acc: 0.9865, mean_class_accuracy: 0.8205 2023-12-23 17:40:03,663 - pyskl - INFO - Epoch [73][100/1281] lr: 1.326e-02, eta: 11:22:55, time: 0.641, data_time: 0.257, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 1.8326, loss: 1.8326 2023-12-23 17:40:49,428 - pyskl - INFO - Epoch [73][200/1281] lr: 1.324e-02, eta: 11:22:19, time: 0.458, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 1.7779, loss: 1.7779 2023-12-23 17:41:32,349 - pyskl - INFO - Epoch [73][300/1281] lr: 1.322e-02, eta: 11:21:40, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 1.8159, loss: 1.8159 2023-12-23 17:42:16,263 - pyskl - INFO - Epoch [73][400/1281] lr: 1.320e-02, eta: 11:21:02, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 1.7846, loss: 1.7846 2023-12-23 17:43:01,389 - pyskl - INFO - Epoch [73][500/1281] lr: 1.318e-02, eta: 11:20:25, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 1.7902, loss: 1.7902 2023-12-23 17:43:44,827 - pyskl - INFO - Epoch [73][600/1281] lr: 1.316e-02, eta: 11:19:47, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9981, loss_cls: 1.8314, loss: 1.8314 2023-12-23 17:44:29,985 - pyskl - INFO - Epoch [73][700/1281] lr: 1.314e-02, eta: 11:19:10, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 1.7468, loss: 1.7468 2023-12-23 17:45:15,586 - pyskl - INFO - Epoch [73][800/1281] lr: 1.312e-02, eta: 11:18:34, time: 0.456, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9981, loss_cls: 1.7517, loss: 1.7517 2023-12-23 17:45:59,810 - pyskl - INFO - Epoch [73][900/1281] lr: 1.310e-02, eta: 11:17:56, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 1.8236, loss: 1.8236 2023-12-23 17:46:45,624 - pyskl - INFO - Epoch [73][1000/1281] lr: 1.308e-02, eta: 11:17:20, time: 0.458, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 1.8381, loss: 1.8381 2023-12-23 17:47:28,113 - pyskl - INFO - Epoch [73][1100/1281] lr: 1.306e-02, eta: 11:16:40, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9962, loss_cls: 1.8686, loss: 1.8686 2023-12-23 17:48:12,534 - pyskl - INFO - Epoch [73][1200/1281] lr: 1.304e-02, eta: 11:16:03, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9969, loss_cls: 1.9117, loss: 1.9117 2023-12-23 17:48:50,239 - pyskl - INFO - Saving checkpoint at 73 epochs 2023-12-23 17:50:05,867 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:50:05,946 - pyskl - INFO - top1_acc 0.8606 top5_acc 0.9866 2023-12-23 17:50:05,946 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 17:50:05,956 - pyskl - INFO - mean_acc 0.8459 2023-12-23 17:50:05,959 - pyskl - INFO - Epoch(val) [73][533] top1_acc: 0.8606, top5_acc: 0.9866, mean_class_accuracy: 0.8459 2023-12-23 17:51:07,406 - pyskl - INFO - Epoch [74][100/1281] lr: 1.300e-02, eta: 11:14:35, time: 0.614, data_time: 0.258, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 1.7288, loss: 1.7288 2023-12-23 17:51:50,777 - pyskl - INFO - Epoch [74][200/1281] lr: 1.298e-02, eta: 11:13:56, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9981, loss_cls: 1.8351, loss: 1.8351 2023-12-23 17:52:33,496 - pyskl - INFO - Epoch [74][300/1281] lr: 1.296e-02, eta: 11:13:17, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9975, loss_cls: 1.8316, loss: 1.8316 2023-12-23 17:53:15,972 - pyskl - INFO - Epoch [74][400/1281] lr: 1.294e-02, eta: 11:12:37, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9988, loss_cls: 1.8098, loss: 1.8098 2023-12-23 17:53:59,098 - pyskl - INFO - Epoch [74][500/1281] lr: 1.292e-02, eta: 11:11:58, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9969, loss_cls: 1.7858, loss: 1.7858 2023-12-23 17:54:42,197 - pyskl - INFO - Epoch [74][600/1281] lr: 1.290e-02, eta: 11:11:19, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9988, loss_cls: 1.7860, loss: 1.7860 2023-12-23 17:55:26,712 - pyskl - INFO - Epoch [74][700/1281] lr: 1.288e-02, eta: 11:10:42, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 1.7922, loss: 1.7922 2023-12-23 17:56:09,967 - pyskl - INFO - Epoch [74][800/1281] lr: 1.286e-02, eta: 11:10:03, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 1.7939, loss: 1.7939 2023-12-23 17:56:55,106 - pyskl - INFO - Epoch [74][900/1281] lr: 1.284e-02, eta: 11:09:26, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 1.7447, loss: 1.7447 2023-12-23 17:57:39,777 - pyskl - INFO - Epoch [74][1000/1281] lr: 1.282e-02, eta: 11:08:48, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 1.7932, loss: 1.7932 2023-12-23 17:58:23,822 - pyskl - INFO - Epoch [74][1100/1281] lr: 1.280e-02, eta: 11:08:10, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9994, loss_cls: 1.8048, loss: 1.8048 2023-12-23 17:59:07,201 - pyskl - INFO - Epoch [74][1200/1281] lr: 1.278e-02, eta: 11:07:32, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9962, loss_cls: 1.8975, loss: 1.8975 2023-12-23 17:59:44,544 - pyskl - INFO - Saving checkpoint at 74 epochs 2023-12-23 18:00:59,751 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:00:59,831 - pyskl - INFO - top1_acc 0.8643 top5_acc 0.9904 2023-12-23 18:00:59,832 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:00:59,856 - pyskl - INFO - mean_acc 0.8365 2023-12-23 18:00:59,860 - pyskl - INFO - Epoch(val) [74][533] top1_acc: 0.8643, top5_acc: 0.9904, mean_class_accuracy: 0.8365 2023-12-23 18:02:00,425 - pyskl - INFO - Epoch [75][100/1281] lr: 1.274e-02, eta: 11:06:03, time: 0.606, data_time: 0.256, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 1.7523, loss: 1.7523 2023-12-23 18:02:43,749 - pyskl - INFO - Epoch [75][200/1281] lr: 1.272e-02, eta: 11:05:24, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9981, loss_cls: 1.7542, loss: 1.7542 2023-12-23 18:03:28,524 - pyskl - INFO - Epoch [75][300/1281] lr: 1.270e-02, eta: 11:04:47, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 1.7841, loss: 1.7841 2023-12-23 18:04:12,493 - pyskl - INFO - Epoch [75][400/1281] lr: 1.268e-02, eta: 11:04:09, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 1.7974, loss: 1.7974 2023-12-23 18:04:57,188 - pyskl - INFO - Epoch [75][500/1281] lr: 1.266e-02, eta: 11:03:31, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 1.8207, loss: 1.8207 2023-12-23 18:05:42,039 - pyskl - INFO - Epoch [75][600/1281] lr: 1.264e-02, eta: 11:02:54, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9988, loss_cls: 1.8042, loss: 1.8042 2023-12-23 18:06:26,242 - pyskl - INFO - Epoch [75][700/1281] lr: 1.262e-02, eta: 11:02:16, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9994, loss_cls: 1.7695, loss: 1.7695 2023-12-23 18:07:11,946 - pyskl - INFO - Epoch [75][800/1281] lr: 1.260e-02, eta: 11:01:39, time: 0.457, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9981, loss_cls: 1.8095, loss: 1.8095 2023-12-23 18:07:57,180 - pyskl - INFO - Epoch [75][900/1281] lr: 1.258e-02, eta: 11:01:02, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 1.7863, loss: 1.7863 2023-12-23 18:08:41,265 - pyskl - INFO - Epoch [75][1000/1281] lr: 1.256e-02, eta: 11:00:24, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9981, loss_cls: 1.7953, loss: 1.7953 2023-12-23 18:09:23,941 - pyskl - INFO - Epoch [75][1100/1281] lr: 1.254e-02, eta: 10:59:45, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 1.0000, loss_cls: 1.8552, loss: 1.8552 2023-12-23 18:10:06,416 - pyskl - INFO - Epoch [75][1200/1281] lr: 1.252e-02, eta: 10:59:05, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9969, loss_cls: 1.7906, loss: 1.7906 2023-12-23 18:10:42,068 - pyskl - INFO - Saving checkpoint at 75 epochs 2023-12-23 18:11:55,328 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:11:55,387 - pyskl - INFO - top1_acc 0.8722 top5_acc 0.9887 2023-12-23 18:11:55,387 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:11:55,399 - pyskl - INFO - mean_acc 0.8476 2023-12-23 18:11:55,426 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_67.pth was removed 2023-12-23 18:11:55,936 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_75.pth. 2023-12-23 18:11:55,937 - pyskl - INFO - Best top1_acc is 0.8722 at 75 epoch. 2023-12-23 18:11:55,939 - pyskl - INFO - Epoch(val) [75][533] top1_acc: 0.8722, top5_acc: 0.9887, mean_class_accuracy: 0.8476 2023-12-23 18:12:57,456 - pyskl - INFO - Epoch [76][100/1281] lr: 1.248e-02, eta: 10:57:38, time: 0.615, data_time: 0.254, memory: 4120, top1_acc: 0.9413, top5_acc: 1.0000, loss_cls: 1.7148, loss: 1.7148 2023-12-23 18:13:41,850 - pyskl - INFO - Epoch [76][200/1281] lr: 1.246e-02, eta: 10:57:00, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9994, loss_cls: 1.7356, loss: 1.7356 2023-12-23 18:14:26,700 - pyskl - INFO - Epoch [76][300/1281] lr: 1.244e-02, eta: 10:56:22, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 1.7313, loss: 1.7313 2023-12-23 18:15:10,002 - pyskl - INFO - Epoch [76][400/1281] lr: 1.242e-02, eta: 10:55:43, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9988, loss_cls: 1.7700, loss: 1.7700 2023-12-23 18:15:54,381 - pyskl - INFO - Epoch [76][500/1281] lr: 1.240e-02, eta: 10:55:06, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 1.8006, loss: 1.8006 2023-12-23 18:16:39,684 - pyskl - INFO - Epoch [76][600/1281] lr: 1.238e-02, eta: 10:54:29, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9994, loss_cls: 1.7598, loss: 1.7598 2023-12-23 18:17:23,850 - pyskl - INFO - Epoch [76][700/1281] lr: 1.236e-02, eta: 10:53:50, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 1.7812, loss: 1.7812 2023-12-23 18:18:09,286 - pyskl - INFO - Epoch [76][800/1281] lr: 1.234e-02, eta: 10:53:13, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 1.8043, loss: 1.8043 2023-12-23 18:18:53,229 - pyskl - INFO - Epoch [76][900/1281] lr: 1.232e-02, eta: 10:52:35, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9975, loss_cls: 1.7776, loss: 1.7776 2023-12-23 18:19:37,847 - pyskl - INFO - Epoch [76][1000/1281] lr: 1.230e-02, eta: 10:51:57, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9975, loss_cls: 1.8081, loss: 1.8081 2023-12-23 18:20:23,505 - pyskl - INFO - Epoch [76][1100/1281] lr: 1.228e-02, eta: 10:51:21, time: 0.457, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9981, loss_cls: 1.8180, loss: 1.8180 2023-12-23 18:21:08,475 - pyskl - INFO - Epoch [76][1200/1281] lr: 1.225e-02, eta: 10:50:43, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9994, loss_cls: 1.8239, loss: 1.8239 2023-12-23 18:21:45,716 - pyskl - INFO - Saving checkpoint at 76 epochs 2023-12-23 18:22:58,365 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:22:58,451 - pyskl - INFO - top1_acc 0.8790 top5_acc 0.9920 2023-12-23 18:22:58,452 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:22:58,486 - pyskl - INFO - mean_acc 0.8486 2023-12-23 18:22:58,498 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_75.pth was removed 2023-12-23 18:22:58,792 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_76.pth. 2023-12-23 18:22:58,793 - pyskl - INFO - Best top1_acc is 0.8790 at 76 epoch. 2023-12-23 18:22:58,795 - pyskl - INFO - Epoch(val) [76][533] top1_acc: 0.8790, top5_acc: 0.9920, mean_class_accuracy: 0.8486 2023-12-23 18:23:58,207 - pyskl - INFO - Epoch [77][100/1281] lr: 1.222e-02, eta: 10:49:14, time: 0.594, data_time: 0.245, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 1.7616, loss: 1.7616 2023-12-23 18:24:41,669 - pyskl - INFO - Epoch [77][200/1281] lr: 1.220e-02, eta: 10:48:35, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9981, loss_cls: 1.8224, loss: 1.8224 2023-12-23 18:25:25,797 - pyskl - INFO - Epoch [77][300/1281] lr: 1.218e-02, eta: 10:47:57, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9988, loss_cls: 1.8117, loss: 1.8117 2023-12-23 18:26:10,722 - pyskl - INFO - Epoch [77][400/1281] lr: 1.216e-02, eta: 10:47:19, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 1.7567, loss: 1.7567 2023-12-23 18:26:56,411 - pyskl - INFO - Epoch [77][500/1281] lr: 1.214e-02, eta: 10:46:43, time: 0.457, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9994, loss_cls: 1.7559, loss: 1.7559 2023-12-23 18:27:41,773 - pyskl - INFO - Epoch [77][600/1281] lr: 1.212e-02, eta: 10:46:06, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9988, loss_cls: 1.7501, loss: 1.7501 2023-12-23 18:28:26,154 - pyskl - INFO - Epoch [77][700/1281] lr: 1.210e-02, eta: 10:45:27, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 1.7387, loss: 1.7387 2023-12-23 18:29:10,723 - pyskl - INFO - Epoch [77][800/1281] lr: 1.207e-02, eta: 10:44:50, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 1.7578, loss: 1.7578 2023-12-23 18:29:52,933 - pyskl - INFO - Epoch [77][900/1281] lr: 1.205e-02, eta: 10:44:09, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9969, loss_cls: 1.7834, loss: 1.7834 2023-12-23 18:30:37,218 - pyskl - INFO - Epoch [77][1000/1281] lr: 1.203e-02, eta: 10:43:31, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9981, loss_cls: 1.8288, loss: 1.8288 2023-12-23 18:31:21,986 - pyskl - INFO - Epoch [77][1100/1281] lr: 1.201e-02, eta: 10:42:54, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 1.7676, loss: 1.7676 2023-12-23 18:32:06,444 - pyskl - INFO - Epoch [77][1200/1281] lr: 1.199e-02, eta: 10:42:15, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 1.7616, loss: 1.7616 2023-12-23 18:32:43,330 - pyskl - INFO - Saving checkpoint at 77 epochs 2023-12-23 18:34:00,874 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:34:00,945 - pyskl - INFO - top1_acc 0.8700 top5_acc 0.9900 2023-12-23 18:34:00,945 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:34:00,953 - pyskl - INFO - mean_acc 0.8388 2023-12-23 18:34:00,956 - pyskl - INFO - Epoch(val) [77][533] top1_acc: 0.8700, top5_acc: 0.9900, mean_class_accuracy: 0.8388 2023-12-23 18:35:02,026 - pyskl - INFO - Epoch [78][100/1281] lr: 1.196e-02, eta: 10:40:48, time: 0.611, data_time: 0.229, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 1.7414, loss: 1.7414 2023-12-23 18:35:46,499 - pyskl - INFO - Epoch [78][200/1281] lr: 1.194e-02, eta: 10:40:10, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 1.7229, loss: 1.7229 2023-12-23 18:36:31,524 - pyskl - INFO - Epoch [78][300/1281] lr: 1.192e-02, eta: 10:39:33, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 1.7363, loss: 1.7363 2023-12-23 18:37:14,728 - pyskl - INFO - Epoch [78][400/1281] lr: 1.190e-02, eta: 10:38:53, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 1.0000, loss_cls: 1.7722, loss: 1.7722 2023-12-23 18:37:58,470 - pyskl - INFO - Epoch [78][500/1281] lr: 1.187e-02, eta: 10:38:15, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9962, loss_cls: 1.7999, loss: 1.7999 2023-12-23 18:38:44,139 - pyskl - INFO - Epoch [78][600/1281] lr: 1.185e-02, eta: 10:37:38, time: 0.457, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9975, loss_cls: 1.7793, loss: 1.7793 2023-12-23 18:39:29,383 - pyskl - INFO - Epoch [78][700/1281] lr: 1.183e-02, eta: 10:37:00, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9975, loss_cls: 1.7868, loss: 1.7868 2023-12-23 18:40:14,533 - pyskl - INFO - Epoch [78][800/1281] lr: 1.181e-02, eta: 10:36:23, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 1.7946, loss: 1.7946 2023-12-23 18:40:59,593 - pyskl - INFO - Epoch [78][900/1281] lr: 1.179e-02, eta: 10:35:45, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 1.0000, loss_cls: 1.8034, loss: 1.8034 2023-12-23 18:41:43,815 - pyskl - INFO - Epoch [78][1000/1281] lr: 1.177e-02, eta: 10:35:07, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9981, loss_cls: 1.7935, loss: 1.7935 2023-12-23 18:42:28,189 - pyskl - INFO - Epoch [78][1100/1281] lr: 1.175e-02, eta: 10:34:29, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 1.7938, loss: 1.7938 2023-12-23 18:43:13,264 - pyskl - INFO - Epoch [78][1200/1281] lr: 1.173e-02, eta: 10:33:51, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9969, loss_cls: 1.8292, loss: 1.8292 2023-12-23 18:43:51,102 - pyskl - INFO - Saving checkpoint at 78 epochs 2023-12-23 18:45:07,611 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:45:07,670 - pyskl - INFO - top1_acc 0.8626 top5_acc 0.9905 2023-12-23 18:45:07,670 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:45:07,683 - pyskl - INFO - mean_acc 0.8278 2023-12-23 18:45:07,691 - pyskl - INFO - Epoch(val) [78][533] top1_acc: 0.8626, top5_acc: 0.9905, mean_class_accuracy: 0.8278 2023-12-23 18:46:10,097 - pyskl - INFO - Epoch [79][100/1281] lr: 1.169e-02, eta: 10:32:25, time: 0.624, data_time: 0.247, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 1.7533, loss: 1.7533 2023-12-23 18:46:52,968 - pyskl - INFO - Epoch [79][200/1281] lr: 1.167e-02, eta: 10:31:46, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 1.7427, loss: 1.7427 2023-12-23 18:47:35,857 - pyskl - INFO - Epoch [79][300/1281] lr: 1.165e-02, eta: 10:31:06, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 1.7349, loss: 1.7349 2023-12-23 18:48:18,989 - pyskl - INFO - Epoch [79][400/1281] lr: 1.163e-02, eta: 10:30:27, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 1.7180, loss: 1.7180 2023-12-23 18:49:02,782 - pyskl - INFO - Epoch [79][500/1281] lr: 1.161e-02, eta: 10:29:48, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 1.7854, loss: 1.7854 2023-12-23 18:49:48,358 - pyskl - INFO - Epoch [79][600/1281] lr: 1.159e-02, eta: 10:29:10, time: 0.456, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9994, loss_cls: 1.6917, loss: 1.6917 2023-12-23 18:50:33,848 - pyskl - INFO - Epoch [79][700/1281] lr: 1.157e-02, eta: 10:28:33, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 1.7622, loss: 1.7622 2023-12-23 18:51:17,011 - pyskl - INFO - Epoch [79][800/1281] lr: 1.155e-02, eta: 10:27:54, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9994, loss_cls: 1.7615, loss: 1.7615 2023-12-23 18:52:02,521 - pyskl - INFO - Epoch [79][900/1281] lr: 1.153e-02, eta: 10:27:16, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9975, loss_cls: 1.7697, loss: 1.7697 2023-12-23 18:52:47,696 - pyskl - INFO - Epoch [79][1000/1281] lr: 1.151e-02, eta: 10:26:39, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 1.8003, loss: 1.8003 2023-12-23 18:53:32,287 - pyskl - INFO - Epoch [79][1100/1281] lr: 1.149e-02, eta: 10:26:01, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 1.7535, loss: 1.7535 2023-12-23 18:54:16,933 - pyskl - INFO - Epoch [79][1200/1281] lr: 1.147e-02, eta: 10:25:23, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 1.7846, loss: 1.7846 2023-12-23 18:54:54,651 - pyskl - INFO - Saving checkpoint at 79 epochs 2023-12-23 18:56:12,271 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:56:12,334 - pyskl - INFO - top1_acc 0.8527 top5_acc 0.9889 2023-12-23 18:56:12,335 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:56:12,344 - pyskl - INFO - mean_acc 0.8075 2023-12-23 18:56:12,347 - pyskl - INFO - Epoch(val) [79][533] top1_acc: 0.8527, top5_acc: 0.9889, mean_class_accuracy: 0.8075 2023-12-23 18:57:13,714 - pyskl - INFO - Epoch [80][100/1281] lr: 1.143e-02, eta: 10:23:56, time: 0.614, data_time: 0.226, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 1.7043, loss: 1.7043 2023-12-23 18:57:58,636 - pyskl - INFO - Epoch [80][200/1281] lr: 1.141e-02, eta: 10:23:18, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.7128, loss: 1.7128 2023-12-23 18:58:43,389 - pyskl - INFO - Epoch [80][300/1281] lr: 1.139e-02, eta: 10:22:40, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 1.7366, loss: 1.7366 2023-12-23 18:59:28,548 - pyskl - INFO - Epoch [80][400/1281] lr: 1.137e-02, eta: 10:22:02, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 1.6962, loss: 1.6962 2023-12-23 19:00:13,835 - pyskl - INFO - Epoch [80][500/1281] lr: 1.135e-02, eta: 10:21:25, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 1.7230, loss: 1.7230 2023-12-23 19:00:57,727 - pyskl - INFO - Epoch [80][600/1281] lr: 1.133e-02, eta: 10:20:46, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 1.7776, loss: 1.7776 2023-12-23 19:01:41,109 - pyskl - INFO - Epoch [80][700/1281] lr: 1.131e-02, eta: 10:20:07, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9969, loss_cls: 1.7951, loss: 1.7951 2023-12-23 19:02:23,720 - pyskl - INFO - Epoch [80][800/1281] lr: 1.129e-02, eta: 10:19:27, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 1.7318, loss: 1.7318 2023-12-23 19:03:06,453 - pyskl - INFO - Epoch [80][900/1281] lr: 1.127e-02, eta: 10:18:47, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9994, loss_cls: 1.7274, loss: 1.7274 2023-12-23 19:03:51,582 - pyskl - INFO - Epoch [80][1000/1281] lr: 1.125e-02, eta: 10:18:09, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 1.7378, loss: 1.7378 2023-12-23 19:04:36,695 - pyskl - INFO - Epoch [80][1100/1281] lr: 1.123e-02, eta: 10:17:31, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 1.0000, loss_cls: 1.7223, loss: 1.7223 2023-12-23 19:05:21,370 - pyskl - INFO - Epoch [80][1200/1281] lr: 1.121e-02, eta: 10:16:53, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9988, loss_cls: 1.7715, loss: 1.7715 2023-12-23 19:05:58,726 - pyskl - INFO - Saving checkpoint at 80 epochs 2023-12-23 19:07:16,211 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:07:16,290 - pyskl - INFO - top1_acc 0.8646 top5_acc 0.9887 2023-12-23 19:07:16,290 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 19:07:16,298 - pyskl - INFO - mean_acc 0.8141 2023-12-23 19:07:16,301 - pyskl - INFO - Epoch(val) [80][533] top1_acc: 0.8646, top5_acc: 0.9887, mean_class_accuracy: 0.8141 2023-12-23 19:08:16,939 - pyskl - INFO - Epoch [81][100/1281] lr: 1.117e-02, eta: 10:15:26, time: 0.606, data_time: 0.219, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 1.7627, loss: 1.7627 2023-12-23 19:09:02,432 - pyskl - INFO - Epoch [81][200/1281] lr: 1.115e-02, eta: 10:14:49, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 1.7364, loss: 1.7364 2023-12-23 19:09:47,743 - pyskl - INFO - Epoch [81][300/1281] lr: 1.113e-02, eta: 10:14:11, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 1.7194, loss: 1.7194 2023-12-23 19:10:32,519 - pyskl - INFO - Epoch [81][400/1281] lr: 1.111e-02, eta: 10:13:33, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 1.7545, loss: 1.7545 2023-12-23 19:11:17,817 - pyskl - INFO - Epoch [81][500/1281] lr: 1.109e-02, eta: 10:12:55, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 1.7483, loss: 1.7483 2023-12-23 19:12:03,067 - pyskl - INFO - Epoch [81][600/1281] lr: 1.107e-02, eta: 10:12:17, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 1.6910, loss: 1.6910 2023-12-23 19:12:48,190 - pyskl - INFO - Epoch [81][700/1281] lr: 1.105e-02, eta: 10:11:39, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 1.6942, loss: 1.6942 2023-12-23 19:13:32,166 - pyskl - INFO - Epoch [81][800/1281] lr: 1.103e-02, eta: 10:11:00, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9994, loss_cls: 1.7719, loss: 1.7719 2023-12-23 19:14:17,155 - pyskl - INFO - Epoch [81][900/1281] lr: 1.101e-02, eta: 10:10:22, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9988, loss_cls: 1.7398, loss: 1.7398 2023-12-23 19:15:01,681 - pyskl - INFO - Epoch [81][1000/1281] lr: 1.099e-02, eta: 10:09:44, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 1.6835, loss: 1.6835 2023-12-23 19:15:46,243 - pyskl - INFO - Epoch [81][1100/1281] lr: 1.097e-02, eta: 10:09:05, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9988, loss_cls: 1.7724, loss: 1.7724 2023-12-23 19:16:31,126 - pyskl - INFO - Epoch [81][1200/1281] lr: 1.095e-02, eta: 10:08:27, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9975, loss_cls: 1.8113, loss: 1.8113 2023-12-23 19:17:08,910 - pyskl - INFO - Saving checkpoint at 81 epochs 2023-12-23 19:18:25,621 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:18:25,694 - pyskl - INFO - top1_acc 0.8693 top5_acc 0.9884 2023-12-23 19:18:25,694 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 19:18:25,702 - pyskl - INFO - mean_acc 0.8265 2023-12-23 19:18:25,705 - pyskl - INFO - Epoch(val) [81][533] top1_acc: 0.8693, top5_acc: 0.9884, mean_class_accuracy: 0.8265 2023-12-23 19:19:25,268 - pyskl - INFO - Epoch [82][100/1281] lr: 1.091e-02, eta: 10:07:00, time: 0.596, data_time: 0.221, memory: 4120, top1_acc: 0.9244, top5_acc: 1.0000, loss_cls: 1.7730, loss: 1.7730 2023-12-23 19:20:09,600 - pyskl - INFO - Epoch [82][200/1281] lr: 1.089e-02, eta: 10:06:21, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 1.6867, loss: 1.6867 2023-12-23 19:20:53,582 - pyskl - INFO - Epoch [82][300/1281] lr: 1.087e-02, eta: 10:05:42, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 1.6522, loss: 1.6522 2023-12-23 19:21:38,876 - pyskl - INFO - Epoch [82][400/1281] lr: 1.085e-02, eta: 10:05:04, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9981, loss_cls: 1.6503, loss: 1.6503 2023-12-23 19:22:24,259 - pyskl - INFO - Epoch [82][500/1281] lr: 1.083e-02, eta: 10:04:26, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 1.7181, loss: 1.7181 2023-12-23 19:23:08,080 - pyskl - INFO - Epoch [82][600/1281] lr: 1.081e-02, eta: 10:03:47, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 1.0000, loss_cls: 1.6853, loss: 1.6853 2023-12-23 19:23:50,868 - pyskl - INFO - Epoch [82][700/1281] lr: 1.079e-02, eta: 10:03:07, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 1.6495, loss: 1.6495 2023-12-23 19:24:33,377 - pyskl - INFO - Epoch [82][800/1281] lr: 1.077e-02, eta: 10:02:27, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9969, loss_cls: 1.7364, loss: 1.7364 2023-12-23 19:25:18,255 - pyskl - INFO - Epoch [82][900/1281] lr: 1.075e-02, eta: 10:01:49, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 1.7446, loss: 1.7446 2023-12-23 19:26:03,682 - pyskl - INFO - Epoch [82][1000/1281] lr: 1.073e-02, eta: 10:01:11, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9981, loss_cls: 1.7149, loss: 1.7149 2023-12-23 19:26:48,030 - pyskl - INFO - Epoch [82][1100/1281] lr: 1.071e-02, eta: 10:00:32, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9975, loss_cls: 1.7978, loss: 1.7978 2023-12-23 19:27:33,065 - pyskl - INFO - Epoch [82][1200/1281] lr: 1.069e-02, eta: 9:59:54, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9975, loss_cls: 1.7824, loss: 1.7824 2023-12-23 19:28:10,203 - pyskl - INFO - Saving checkpoint at 82 epochs 2023-12-23 19:29:26,631 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:29:26,695 - pyskl - INFO - top1_acc 0.8728 top5_acc 0.9903 2023-12-23 19:29:26,695 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 19:29:26,703 - pyskl - INFO - mean_acc 0.8346 2023-12-23 19:29:26,705 - pyskl - INFO - Epoch(val) [82][533] top1_acc: 0.8728, top5_acc: 0.9903, mean_class_accuracy: 0.8346 2023-12-23 19:30:24,030 - pyskl - INFO - Epoch [83][100/1281] lr: 1.065e-02, eta: 9:58:25, time: 0.573, data_time: 0.194, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 1.7168, loss: 1.7168 2023-12-23 19:31:08,468 - pyskl - INFO - Epoch [83][200/1281] lr: 1.063e-02, eta: 9:57:46, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9994, loss_cls: 1.7296, loss: 1.7296 2023-12-23 19:31:52,235 - pyskl - INFO - Epoch [83][300/1281] lr: 1.061e-02, eta: 9:57:07, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 1.7030, loss: 1.7030 2023-12-23 19:32:37,092 - pyskl - INFO - Epoch [83][400/1281] lr: 1.059e-02, eta: 9:56:29, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9988, loss_cls: 1.7342, loss: 1.7342 2023-12-23 19:33:21,040 - pyskl - INFO - Epoch [83][500/1281] lr: 1.057e-02, eta: 9:55:50, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 1.7285, loss: 1.7285 2023-12-23 19:34:04,528 - pyskl - INFO - Epoch [83][600/1281] lr: 1.055e-02, eta: 9:55:10, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9981, loss_cls: 1.6938, loss: 1.6938 2023-12-23 19:34:49,027 - pyskl - INFO - Epoch [83][700/1281] lr: 1.053e-02, eta: 9:54:32, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 1.6647, loss: 1.6647 2023-12-23 19:35:33,061 - pyskl - INFO - Epoch [83][800/1281] lr: 1.051e-02, eta: 9:53:53, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9994, loss_cls: 1.7247, loss: 1.7247 2023-12-23 19:36:18,352 - pyskl - INFO - Epoch [83][900/1281] lr: 1.049e-02, eta: 9:53:15, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9981, loss_cls: 1.6994, loss: 1.6994 2023-12-23 19:37:02,106 - pyskl - INFO - Epoch [83][1000/1281] lr: 1.047e-02, eta: 9:52:35, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 1.0000, loss_cls: 1.6745, loss: 1.6745 2023-12-23 19:37:46,539 - pyskl - INFO - Epoch [83][1100/1281] lr: 1.045e-02, eta: 9:51:57, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 1.6815, loss: 1.6815 2023-12-23 19:38:31,610 - pyskl - INFO - Epoch [83][1200/1281] lr: 1.043e-02, eta: 9:51:18, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 1.6683, loss: 1.6683 2023-12-23 19:39:09,165 - pyskl - INFO - Saving checkpoint at 83 epochs 2023-12-23 19:40:26,150 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:40:26,229 - pyskl - INFO - top1_acc 0.8653 top5_acc 0.9900 2023-12-23 19:40:26,229 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 19:40:26,241 - pyskl - INFO - mean_acc 0.8312 2023-12-23 19:40:26,244 - pyskl - INFO - Epoch(val) [83][533] top1_acc: 0.8653, top5_acc: 0.9900, mean_class_accuracy: 0.8312 2023-12-23 19:41:28,249 - pyskl - INFO - Epoch [84][100/1281] lr: 1.040e-02, eta: 9:49:53, time: 0.620, data_time: 0.250, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 1.6653, loss: 1.6653 2023-12-23 19:42:11,786 - pyskl - INFO - Epoch [84][200/1281] lr: 1.038e-02, eta: 9:49:14, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 1.6624, loss: 1.6624 2023-12-23 19:42:56,883 - pyskl - INFO - Epoch [84][300/1281] lr: 1.036e-02, eta: 9:48:36, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9994, loss_cls: 1.6625, loss: 1.6625 2023-12-23 19:43:40,621 - pyskl - INFO - Epoch [84][400/1281] lr: 1.034e-02, eta: 9:47:56, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 1.6580, loss: 1.6580 2023-12-23 19:44:23,389 - pyskl - INFO - Epoch [84][500/1281] lr: 1.031e-02, eta: 9:47:16, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 1.6937, loss: 1.6937 2023-12-23 19:45:05,679 - pyskl - INFO - Epoch [84][600/1281] lr: 1.029e-02, eta: 9:46:36, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 1.0000, loss_cls: 1.6731, loss: 1.6731 2023-12-23 19:45:48,421 - pyskl - INFO - Epoch [84][700/1281] lr: 1.027e-02, eta: 9:45:55, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.6761, loss: 1.6761 2023-12-23 19:46:32,379 - pyskl - INFO - Epoch [84][800/1281] lr: 1.025e-02, eta: 9:45:16, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 1.6551, loss: 1.6551 2023-12-23 19:47:16,160 - pyskl - INFO - Epoch [84][900/1281] lr: 1.023e-02, eta: 9:44:37, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 1.6979, loss: 1.6979 2023-12-23 19:47:59,031 - pyskl - INFO - Epoch [84][1000/1281] lr: 1.021e-02, eta: 9:43:57, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9969, loss_cls: 1.7399, loss: 1.7399 2023-12-23 19:48:41,444 - pyskl - INFO - Epoch [84][1100/1281] lr: 1.019e-02, eta: 9:43:16, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 1.6922, loss: 1.6922 2023-12-23 19:49:24,774 - pyskl - INFO - Epoch [84][1200/1281] lr: 1.017e-02, eta: 9:42:37, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 1.7265, loss: 1.7265 2023-12-23 19:50:01,190 - pyskl - INFO - Saving checkpoint at 84 epochs 2023-12-23 19:51:11,774 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:51:11,836 - pyskl - INFO - top1_acc 0.8754 top5_acc 0.9892 2023-12-23 19:51:11,836 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 19:51:11,848 - pyskl - INFO - mean_acc 0.8466 2023-12-23 19:51:11,853 - pyskl - INFO - Epoch(val) [84][533] top1_acc: 0.8754, top5_acc: 0.9892, mean_class_accuracy: 0.8466 2023-12-23 19:52:12,585 - pyskl - INFO - Epoch [85][100/1281] lr: 1.014e-02, eta: 9:41:11, time: 0.607, data_time: 0.230, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 1.6332, loss: 1.6332 2023-12-23 19:52:57,038 - pyskl - INFO - Epoch [85][200/1281] lr: 1.012e-02, eta: 9:40:32, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.5937, loss: 1.5937 2023-12-23 19:53:40,413 - pyskl - INFO - Epoch [85][300/1281] lr: 1.010e-02, eta: 9:39:52, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 1.6743, loss: 1.6743 2023-12-23 19:54:22,465 - pyskl - INFO - Epoch [85][400/1281] lr: 1.008e-02, eta: 9:39:12, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 1.6458, loss: 1.6458 2023-12-23 19:55:04,836 - pyskl - INFO - Epoch [85][500/1281] lr: 1.006e-02, eta: 9:38:31, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 1.6399, loss: 1.6399 2023-12-23 19:55:47,197 - pyskl - INFO - Epoch [85][600/1281] lr: 1.004e-02, eta: 9:37:51, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 1.6896, loss: 1.6896 2023-12-23 19:56:29,682 - pyskl - INFO - Epoch [85][700/1281] lr: 1.002e-02, eta: 9:37:10, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 1.6521, loss: 1.6521 2023-12-23 19:57:13,245 - pyskl - INFO - Epoch [85][800/1281] lr: 9.998e-03, eta: 9:36:31, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9994, loss_cls: 1.6775, loss: 1.6775 2023-12-23 19:57:56,115 - pyskl - INFO - Epoch [85][900/1281] lr: 9.978e-03, eta: 9:35:51, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9994, loss_cls: 1.7144, loss: 1.7144 2023-12-23 19:58:39,214 - pyskl - INFO - Epoch [85][1000/1281] lr: 9.958e-03, eta: 9:35:11, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.6799, loss: 1.6799 2023-12-23 19:59:23,453 - pyskl - INFO - Epoch [85][1100/1281] lr: 9.937e-03, eta: 9:34:32, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 1.6926, loss: 1.6926 2023-12-23 20:00:08,155 - pyskl - INFO - Epoch [85][1200/1281] lr: 9.917e-03, eta: 9:33:53, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 1.7697, loss: 1.7697 2023-12-23 20:00:43,732 - pyskl - INFO - Saving checkpoint at 85 epochs 2023-12-23 20:01:57,618 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:01:57,691 - pyskl - INFO - top1_acc 0.8770 top5_acc 0.9900 2023-12-23 20:01:57,691 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:01:57,699 - pyskl - INFO - mean_acc 0.8436 2023-12-23 20:01:57,701 - pyskl - INFO - Epoch(val) [85][533] top1_acc: 0.8770, top5_acc: 0.9900, mean_class_accuracy: 0.8436 2023-12-23 20:02:55,256 - pyskl - INFO - Epoch [86][100/1281] lr: 9.881e-03, eta: 9:32:25, time: 0.575, data_time: 0.218, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 1.6469, loss: 1.6469 2023-12-23 20:03:37,561 - pyskl - INFO - Epoch [86][200/1281] lr: 9.861e-03, eta: 9:31:45, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 1.0000, loss_cls: 1.6409, loss: 1.6409 2023-12-23 20:04:22,103 - pyskl - INFO - Epoch [86][300/1281] lr: 9.841e-03, eta: 9:31:06, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 1.6237, loss: 1.6237 2023-12-23 20:05:06,132 - pyskl - INFO - Epoch [86][400/1281] lr: 9.821e-03, eta: 9:30:26, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 1.6140, loss: 1.6140 2023-12-23 20:05:48,418 - pyskl - INFO - Epoch [86][500/1281] lr: 9.801e-03, eta: 9:29:46, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 1.6718, loss: 1.6718 2023-12-23 20:06:30,560 - pyskl - INFO - Epoch [86][600/1281] lr: 9.781e-03, eta: 9:29:05, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 1.6574, loss: 1.6574 2023-12-23 20:07:13,260 - pyskl - INFO - Epoch [86][700/1281] lr: 9.762e-03, eta: 9:28:25, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 1.6646, loss: 1.6646 2023-12-23 20:07:57,371 - pyskl - INFO - Epoch [86][800/1281] lr: 9.742e-03, eta: 9:27:46, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 1.0000, loss_cls: 1.6886, loss: 1.6886 2023-12-23 20:08:41,792 - pyskl - INFO - Epoch [86][900/1281] lr: 9.722e-03, eta: 9:27:07, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 1.6802, loss: 1.6802 2023-12-23 20:09:24,918 - pyskl - INFO - Epoch [86][1000/1281] lr: 9.702e-03, eta: 9:26:27, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 1.7260, loss: 1.7260 2023-12-23 20:10:08,680 - pyskl - INFO - Epoch [86][1100/1281] lr: 9.682e-03, eta: 9:25:47, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9969, loss_cls: 1.6985, loss: 1.6985 2023-12-23 20:10:53,413 - pyskl - INFO - Epoch [86][1200/1281] lr: 9.662e-03, eta: 9:25:09, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 1.6017, loss: 1.6017 2023-12-23 20:11:30,118 - pyskl - INFO - Saving checkpoint at 86 epochs 2023-12-23 20:12:41,100 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:12:41,166 - pyskl - INFO - top1_acc 0.8724 top5_acc 0.9873 2023-12-23 20:12:41,167 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:12:41,185 - pyskl - INFO - mean_acc 0.8377 2023-12-23 20:12:41,198 - pyskl - INFO - Epoch(val) [86][533] top1_acc: 0.8724, top5_acc: 0.9873, mean_class_accuracy: 0.8377 2023-12-23 20:13:40,040 - pyskl - INFO - Epoch [87][100/1281] lr: 9.626e-03, eta: 9:23:42, time: 0.588, data_time: 0.231, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 1.5847, loss: 1.5847 2023-12-23 20:14:22,762 - pyskl - INFO - Epoch [87][200/1281] lr: 9.606e-03, eta: 9:23:02, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 1.6053, loss: 1.6053 2023-12-23 20:15:07,392 - pyskl - INFO - Epoch [87][300/1281] lr: 9.586e-03, eta: 9:22:23, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 1.5893, loss: 1.5893 2023-12-23 20:15:51,630 - pyskl - INFO - Epoch [87][400/1281] lr: 9.566e-03, eta: 9:21:44, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 1.6125, loss: 1.6125 2023-12-23 20:16:35,541 - pyskl - INFO - Epoch [87][500/1281] lr: 9.546e-03, eta: 9:21:04, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 1.6592, loss: 1.6592 2023-12-23 20:17:18,499 - pyskl - INFO - Epoch [87][600/1281] lr: 9.527e-03, eta: 9:20:24, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 1.6290, loss: 1.6290 2023-12-23 20:18:02,203 - pyskl - INFO - Epoch [87][700/1281] lr: 9.507e-03, eta: 9:19:45, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 1.0000, loss_cls: 1.6453, loss: 1.6453 2023-12-23 20:18:45,282 - pyskl - INFO - Epoch [87][800/1281] lr: 9.487e-03, eta: 9:19:05, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 1.6412, loss: 1.6412 2023-12-23 20:19:29,444 - pyskl - INFO - Epoch [87][900/1281] lr: 9.467e-03, eta: 9:18:25, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9994, loss_cls: 1.6693, loss: 1.6693 2023-12-23 20:20:13,882 - pyskl - INFO - Epoch [87][1000/1281] lr: 9.447e-03, eta: 9:17:46, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 1.6674, loss: 1.6674 2023-12-23 20:20:56,290 - pyskl - INFO - Epoch [87][1100/1281] lr: 9.427e-03, eta: 9:17:06, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 1.6587, loss: 1.6587 2023-12-23 20:21:39,013 - pyskl - INFO - Epoch [87][1200/1281] lr: 9.408e-03, eta: 9:16:25, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 1.6195, loss: 1.6195 2023-12-23 20:22:14,673 - pyskl - INFO - Saving checkpoint at 87 epochs 2023-12-23 20:23:29,954 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:23:30,010 - pyskl - INFO - top1_acc 0.8782 top5_acc 0.9900 2023-12-23 20:23:30,010 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:23:30,023 - pyskl - INFO - mean_acc 0.8346 2023-12-23 20:23:30,030 - pyskl - INFO - Epoch(val) [87][533] top1_acc: 0.8782, top5_acc: 0.9900, mean_class_accuracy: 0.8346 2023-12-23 20:24:29,714 - pyskl - INFO - Epoch [88][100/1281] lr: 9.372e-03, eta: 9:15:00, time: 0.597, data_time: 0.239, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 1.6359, loss: 1.6359 2023-12-23 20:25:12,746 - pyskl - INFO - Epoch [88][200/1281] lr: 9.352e-03, eta: 9:14:20, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 1.6400, loss: 1.6400 2023-12-23 20:25:55,823 - pyskl - INFO - Epoch [88][300/1281] lr: 9.332e-03, eta: 9:13:40, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 1.6234, loss: 1.6234 2023-12-23 20:26:39,409 - pyskl - INFO - Epoch [88][400/1281] lr: 9.312e-03, eta: 9:13:00, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 1.6695, loss: 1.6695 2023-12-23 20:27:23,572 - pyskl - INFO - Epoch [88][500/1281] lr: 9.293e-03, eta: 9:12:21, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 1.6572, loss: 1.6572 2023-12-23 20:28:07,428 - pyskl - INFO - Epoch [88][600/1281] lr: 9.273e-03, eta: 9:11:41, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 1.5811, loss: 1.5811 2023-12-23 20:28:50,567 - pyskl - INFO - Epoch [88][700/1281] lr: 9.253e-03, eta: 9:11:01, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 1.5874, loss: 1.5874 2023-12-23 20:29:35,047 - pyskl - INFO - Epoch [88][800/1281] lr: 9.233e-03, eta: 9:10:22, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.5894, loss: 1.5894 2023-12-23 20:30:19,375 - pyskl - INFO - Epoch [88][900/1281] lr: 9.214e-03, eta: 9:09:43, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 1.6232, loss: 1.6232 2023-12-23 20:31:03,171 - pyskl - INFO - Epoch [88][1000/1281] lr: 9.194e-03, eta: 9:09:03, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 1.6656, loss: 1.6656 2023-12-23 20:31:47,748 - pyskl - INFO - Epoch [88][1100/1281] lr: 9.174e-03, eta: 9:08:24, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 1.6422, loss: 1.6422 2023-12-23 20:32:32,614 - pyskl - INFO - Epoch [88][1200/1281] lr: 9.155e-03, eta: 9:07:45, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 1.6739, loss: 1.6739 2023-12-23 20:33:09,929 - pyskl - INFO - Saving checkpoint at 88 epochs 2023-12-23 20:34:21,682 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:34:21,746 - pyskl - INFO - top1_acc 0.8794 top5_acc 0.9904 2023-12-23 20:34:21,746 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:34:21,763 - pyskl - INFO - mean_acc 0.8490 2023-12-23 20:34:21,768 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_76.pth was removed 2023-12-23 20:34:22,039 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_88.pth. 2023-12-23 20:34:22,039 - pyskl - INFO - Best top1_acc is 0.8794 at 88 epoch. 2023-12-23 20:34:22,042 - pyskl - INFO - Epoch(val) [88][533] top1_acc: 0.8794, top5_acc: 0.9904, mean_class_accuracy: 0.8490 2023-12-23 20:35:16,687 - pyskl - INFO - Epoch [89][100/1281] lr: 9.119e-03, eta: 9:06:16, time: 0.546, data_time: 0.199, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.5655, loss: 1.5655 2023-12-23 20:36:00,162 - pyskl - INFO - Epoch [89][200/1281] lr: 9.099e-03, eta: 9:05:36, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 1.5947, loss: 1.5947 2023-12-23 20:36:44,170 - pyskl - INFO - Epoch [89][300/1281] lr: 9.080e-03, eta: 9:04:57, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.5651, loss: 1.5651 2023-12-23 20:37:28,533 - pyskl - INFO - Epoch [89][400/1281] lr: 9.060e-03, eta: 9:04:18, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 1.6047, loss: 1.6047 2023-12-23 20:38:13,292 - pyskl - INFO - Epoch [89][500/1281] lr: 9.040e-03, eta: 9:03:39, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 1.5616, loss: 1.5616 2023-12-23 20:38:57,115 - pyskl - INFO - Epoch [89][600/1281] lr: 9.021e-03, eta: 9:02:59, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 1.5907, loss: 1.5907 2023-12-23 20:39:40,810 - pyskl - INFO - Epoch [89][700/1281] lr: 9.001e-03, eta: 9:02:20, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 1.6292, loss: 1.6292 2023-12-23 20:40:23,503 - pyskl - INFO - Epoch [89][800/1281] lr: 8.982e-03, eta: 9:01:39, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9981, loss_cls: 1.6434, loss: 1.6434 2023-12-23 20:41:06,796 - pyskl - INFO - Epoch [89][900/1281] lr: 8.962e-03, eta: 9:00:59, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9450, top5_acc: 1.0000, loss_cls: 1.6252, loss: 1.6252 2023-12-23 20:41:50,550 - pyskl - INFO - Epoch [89][1000/1281] lr: 8.942e-03, eta: 9:00:20, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 1.5793, loss: 1.5793 2023-12-23 20:42:34,308 - pyskl - INFO - Epoch [89][1100/1281] lr: 8.923e-03, eta: 8:59:40, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 1.6060, loss: 1.6060 2023-12-23 20:43:17,772 - pyskl - INFO - Epoch [89][1200/1281] lr: 8.903e-03, eta: 8:59:00, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 1.5792, loss: 1.5792 2023-12-23 20:43:52,967 - pyskl - INFO - Saving checkpoint at 89 epochs 2023-12-23 20:45:02,551 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:45:02,611 - pyskl - INFO - top1_acc 0.8824 top5_acc 0.9911 2023-12-23 20:45:02,611 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:45:02,619 - pyskl - INFO - mean_acc 0.8527 2023-12-23 20:45:02,624 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_88.pth was removed 2023-12-23 20:45:02,887 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. 2023-12-23 20:45:02,887 - pyskl - INFO - Best top1_acc is 0.8824 at 89 epoch. 2023-12-23 20:45:02,891 - pyskl - INFO - Epoch(val) [89][533] top1_acc: 0.8824, top5_acc: 0.9911, mean_class_accuracy: 0.8527 2023-12-23 20:46:01,152 - pyskl - INFO - Epoch [90][100/1281] lr: 8.868e-03, eta: 8:57:34, time: 0.583, data_time: 0.237, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.5417, loss: 1.5417 2023-12-23 20:46:43,580 - pyskl - INFO - Epoch [90][200/1281] lr: 8.848e-03, eta: 8:56:53, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.5326, loss: 1.5326 2023-12-23 20:47:26,116 - pyskl - INFO - Epoch [90][300/1281] lr: 8.829e-03, eta: 8:56:13, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 1.5403, loss: 1.5403 2023-12-23 20:48:08,893 - pyskl - INFO - Epoch [90][400/1281] lr: 8.809e-03, eta: 8:55:32, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 1.6147, loss: 1.6147 2023-12-23 20:48:51,390 - pyskl - INFO - Epoch [90][500/1281] lr: 8.790e-03, eta: 8:54:52, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 1.5318, loss: 1.5318 2023-12-23 20:49:33,783 - pyskl - INFO - Epoch [90][600/1281] lr: 8.770e-03, eta: 8:54:11, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.5036, loss: 1.5036 2023-12-23 20:50:16,488 - pyskl - INFO - Epoch [90][700/1281] lr: 8.751e-03, eta: 8:53:31, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.4960, loss: 1.4960 2023-12-23 20:51:00,480 - pyskl - INFO - Epoch [90][800/1281] lr: 8.731e-03, eta: 8:52:51, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 1.5199, loss: 1.5199 2023-12-23 20:51:45,397 - pyskl - INFO - Epoch [90][900/1281] lr: 8.712e-03, eta: 8:52:12, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 1.5668, loss: 1.5668 2023-12-23 20:52:28,781 - pyskl - INFO - Epoch [90][1000/1281] lr: 8.692e-03, eta: 8:51:32, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 1.5955, loss: 1.5955 2023-12-23 20:53:11,547 - pyskl - INFO - Epoch [90][1100/1281] lr: 8.673e-03, eta: 8:50:52, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 1.0000, loss_cls: 1.5848, loss: 1.5848 2023-12-23 20:53:54,164 - pyskl - INFO - Epoch [90][1200/1281] lr: 8.653e-03, eta: 8:50:11, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 1.6055, loss: 1.6055 2023-12-23 20:54:30,049 - pyskl - INFO - Saving checkpoint at 90 epochs 2023-12-23 20:55:39,634 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:55:39,699 - pyskl - INFO - top1_acc 0.8757 top5_acc 0.9899 2023-12-23 20:55:39,699 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:55:39,710 - pyskl - INFO - mean_acc 0.8493 2023-12-23 20:55:39,714 - pyskl - INFO - Epoch(val) [90][533] top1_acc: 0.8757, top5_acc: 0.9899, mean_class_accuracy: 0.8493 2023-12-23 20:56:37,875 - pyskl - INFO - Epoch [91][100/1281] lr: 8.618e-03, eta: 8:48:45, time: 0.581, data_time: 0.230, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.4982, loss: 1.4982 2023-12-23 20:57:20,371 - pyskl - INFO - Epoch [91][200/1281] lr: 8.599e-03, eta: 8:48:05, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.5202, loss: 1.5202 2023-12-23 20:58:02,817 - pyskl - INFO - Epoch [91][300/1281] lr: 8.579e-03, eta: 8:47:24, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 1.5615, loss: 1.5615 2023-12-23 20:58:44,994 - pyskl - INFO - Epoch [91][400/1281] lr: 8.560e-03, eta: 8:46:44, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 1.5721, loss: 1.5721 2023-12-23 20:59:28,430 - pyskl - INFO - Epoch [91][500/1281] lr: 8.540e-03, eta: 8:46:04, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 1.5408, loss: 1.5408 2023-12-23 21:00:11,399 - pyskl - INFO - Epoch [91][600/1281] lr: 8.521e-03, eta: 8:45:23, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 1.5700, loss: 1.5700 2023-12-23 21:00:54,163 - pyskl - INFO - Epoch [91][700/1281] lr: 8.502e-03, eta: 8:44:43, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 1.5746, loss: 1.5746 2023-12-23 21:01:37,014 - pyskl - INFO - Epoch [91][800/1281] lr: 8.482e-03, eta: 8:44:03, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.4982, loss: 1.4982 2023-12-23 21:02:20,876 - pyskl - INFO - Epoch [91][900/1281] lr: 8.463e-03, eta: 8:43:23, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 1.5096, loss: 1.5096 2023-12-23 21:03:04,432 - pyskl - INFO - Epoch [91][1000/1281] lr: 8.444e-03, eta: 8:42:43, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 1.5916, loss: 1.5916 2023-12-23 21:03:48,945 - pyskl - INFO - Epoch [91][1100/1281] lr: 8.424e-03, eta: 8:42:04, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9994, loss_cls: 1.5617, loss: 1.5617 2023-12-23 21:04:31,784 - pyskl - INFO - Epoch [91][1200/1281] lr: 8.405e-03, eta: 8:41:23, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 1.0000, loss_cls: 1.5841, loss: 1.5841 2023-12-23 21:05:07,949 - pyskl - INFO - Saving checkpoint at 91 epochs 2023-12-23 21:06:21,836 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:06:21,912 - pyskl - INFO - top1_acc 0.8672 top5_acc 0.9897 2023-12-23 21:06:21,912 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:06:21,921 - pyskl - INFO - mean_acc 0.8379 2023-12-23 21:06:21,924 - pyskl - INFO - Epoch(val) [91][533] top1_acc: 0.8672, top5_acc: 0.9897, mean_class_accuracy: 0.8379 2023-12-23 21:07:21,877 - pyskl - INFO - Epoch [92][100/1281] lr: 8.370e-03, eta: 8:39:59, time: 0.599, data_time: 0.242, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.4864, loss: 1.4864 2023-12-23 21:08:05,200 - pyskl - INFO - Epoch [92][200/1281] lr: 8.351e-03, eta: 8:39:19, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 1.5234, loss: 1.5234 2023-12-23 21:08:48,506 - pyskl - INFO - Epoch [92][300/1281] lr: 8.332e-03, eta: 8:38:39, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.5124, loss: 1.5124 2023-12-23 21:09:32,510 - pyskl - INFO - Epoch [92][400/1281] lr: 8.312e-03, eta: 8:37:59, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.5054, loss: 1.5054 2023-12-23 21:10:15,379 - pyskl - INFO - Epoch [92][500/1281] lr: 8.293e-03, eta: 8:37:19, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.4668, loss: 1.4668 2023-12-23 21:10:58,748 - pyskl - INFO - Epoch [92][600/1281] lr: 8.274e-03, eta: 8:36:39, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 1.5459, loss: 1.5459 2023-12-23 21:11:42,085 - pyskl - INFO - Epoch [92][700/1281] lr: 8.255e-03, eta: 8:35:59, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 1.5834, loss: 1.5834 2023-12-23 21:12:25,883 - pyskl - INFO - Epoch [92][800/1281] lr: 8.235e-03, eta: 8:35:19, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 1.5752, loss: 1.5752 2023-12-23 21:13:09,577 - pyskl - INFO - Epoch [92][900/1281] lr: 8.216e-03, eta: 8:34:39, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 1.6316, loss: 1.6316 2023-12-23 21:13:54,612 - pyskl - INFO - Epoch [92][1000/1281] lr: 8.197e-03, eta: 8:34:00, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 1.5480, loss: 1.5480 2023-12-23 21:14:39,827 - pyskl - INFO - Epoch [92][1100/1281] lr: 8.178e-03, eta: 8:33:21, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 1.5863, loss: 1.5863 2023-12-23 21:15:22,522 - pyskl - INFO - Epoch [92][1200/1281] lr: 8.159e-03, eta: 8:32:41, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 1.5414, loss: 1.5414 2023-12-23 21:15:57,228 - pyskl - INFO - Saving checkpoint at 92 epochs 2023-12-23 21:17:01,986 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:17:02,049 - pyskl - INFO - top1_acc 0.8909 top5_acc 0.9911 2023-12-23 21:17:02,049 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:17:02,057 - pyskl - INFO - mean_acc 0.8544 2023-12-23 21:17:02,061 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_89.pth was removed 2023-12-23 21:17:02,247 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_92.pth. 2023-12-23 21:17:02,247 - pyskl - INFO - Best top1_acc is 0.8909 at 92 epoch. 2023-12-23 21:17:02,251 - pyskl - INFO - Epoch(val) [92][533] top1_acc: 0.8909, top5_acc: 0.9911, mean_class_accuracy: 0.8544 2023-12-23 21:17:54,059 - pyskl - INFO - Epoch [93][100/1281] lr: 8.124e-03, eta: 8:31:11, time: 0.518, data_time: 0.191, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 1.5584, loss: 1.5584 2023-12-23 21:18:36,092 - pyskl - INFO - Epoch [93][200/1281] lr: 8.105e-03, eta: 8:30:30, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.5200, loss: 1.5200 2023-12-23 21:19:19,176 - pyskl - INFO - Epoch [93][300/1281] lr: 8.086e-03, eta: 8:29:50, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.5460, loss: 1.5460 2023-12-23 21:20:02,249 - pyskl - INFO - Epoch [93][400/1281] lr: 8.067e-03, eta: 8:29:10, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 1.4920, loss: 1.4920 2023-12-23 21:20:44,875 - pyskl - INFO - Epoch [93][500/1281] lr: 8.047e-03, eta: 8:28:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 1.5378, loss: 1.5378 2023-12-23 21:21:27,454 - pyskl - INFO - Epoch [93][600/1281] lr: 8.028e-03, eta: 8:27:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 1.5493, loss: 1.5493 2023-12-23 21:22:10,156 - pyskl - INFO - Epoch [93][700/1281] lr: 8.009e-03, eta: 8:27:08, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 1.5728, loss: 1.5728 2023-12-23 21:22:52,772 - pyskl - INFO - Epoch [93][800/1281] lr: 7.990e-03, eta: 8:26:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 1.5547, loss: 1.5547 2023-12-23 21:23:35,470 - pyskl - INFO - Epoch [93][900/1281] lr: 7.971e-03, eta: 8:25:47, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 1.5977, loss: 1.5977 2023-12-23 21:24:17,996 - pyskl - INFO - Epoch [93][1000/1281] lr: 7.952e-03, eta: 8:25:06, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 1.5957, loss: 1.5957 2023-12-23 21:24:59,699 - pyskl - INFO - Epoch [93][1100/1281] lr: 7.933e-03, eta: 8:24:25, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 1.5682, loss: 1.5682 2023-12-23 21:25:41,393 - pyskl - INFO - Epoch [93][1200/1281] lr: 7.914e-03, eta: 8:23:44, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 1.5468, loss: 1.5468 2023-12-23 21:26:15,572 - pyskl - INFO - Saving checkpoint at 93 epochs 2023-12-23 21:27:18,523 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:27:18,590 - pyskl - INFO - top1_acc 0.8824 top5_acc 0.9907 2023-12-23 21:27:18,591 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:27:18,598 - pyskl - INFO - mean_acc 0.8589 2023-12-23 21:27:18,600 - pyskl - INFO - Epoch(val) [93][533] top1_acc: 0.8824, top5_acc: 0.9907, mean_class_accuracy: 0.8589 2023-12-23 21:28:09,054 - pyskl - INFO - Epoch [94][100/1281] lr: 7.880e-03, eta: 8:22:14, time: 0.504, data_time: 0.176, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.5039, loss: 1.5039 2023-12-23 21:28:50,947 - pyskl - INFO - Epoch [94][200/1281] lr: 7.861e-03, eta: 8:21:33, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 1.5340, loss: 1.5340 2023-12-23 21:29:32,676 - pyskl - INFO - Epoch [94][300/1281] lr: 7.842e-03, eta: 8:20:52, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.5029, loss: 1.5029 2023-12-23 21:30:14,406 - pyskl - INFO - Epoch [94][400/1281] lr: 7.823e-03, eta: 8:20:11, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.5028, loss: 1.5028 2023-12-23 21:30:56,121 - pyskl - INFO - Epoch [94][500/1281] lr: 7.804e-03, eta: 8:19:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.5324, loss: 1.5324 2023-12-23 21:31:37,883 - pyskl - INFO - Epoch [94][600/1281] lr: 7.785e-03, eta: 8:18:49, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.4832, loss: 1.4832 2023-12-23 21:32:19,580 - pyskl - INFO - Epoch [94][700/1281] lr: 7.766e-03, eta: 8:18:08, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 1.4870, loss: 1.4870 2023-12-23 21:33:01,297 - pyskl - INFO - Epoch [94][800/1281] lr: 7.747e-03, eta: 8:17:27, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.4474, loss: 1.4474 2023-12-23 21:33:42,992 - pyskl - INFO - Epoch [94][900/1281] lr: 7.728e-03, eta: 8:16:46, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 1.4948, loss: 1.4948 2023-12-23 21:34:24,807 - pyskl - INFO - Epoch [94][1000/1281] lr: 7.709e-03, eta: 8:16:05, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 1.5018, loss: 1.5018 2023-12-23 21:35:06,452 - pyskl - INFO - Epoch [94][1100/1281] lr: 7.690e-03, eta: 8:15:24, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.4990, loss: 1.4990 2023-12-23 21:35:48,123 - pyskl - INFO - Epoch [94][1200/1281] lr: 7.672e-03, eta: 8:14:43, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 1.5457, loss: 1.5457 2023-12-23 21:36:22,472 - pyskl - INFO - Saving checkpoint at 94 epochs 2023-12-23 21:37:26,442 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:37:26,500 - pyskl - INFO - top1_acc 0.8717 top5_acc 0.9878 2023-12-23 21:37:26,500 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:37:26,508 - pyskl - INFO - mean_acc 0.8344 2023-12-23 21:37:26,511 - pyskl - INFO - Epoch(val) [94][533] top1_acc: 0.8717, top5_acc: 0.9878, mean_class_accuracy: 0.8344 2023-12-23 21:38:16,035 - pyskl - INFO - Epoch [95][100/1281] lr: 7.637e-03, eta: 8:13:13, time: 0.495, data_time: 0.171, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 1.5376, loss: 1.5376 2023-12-23 21:38:58,046 - pyskl - INFO - Epoch [95][200/1281] lr: 7.619e-03, eta: 8:12:32, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 1.4935, loss: 1.4935 2023-12-23 21:39:39,641 - pyskl - INFO - Epoch [95][300/1281] lr: 7.600e-03, eta: 8:11:51, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.4674, loss: 1.4674 2023-12-23 21:40:21,423 - pyskl - INFO - Epoch [95][400/1281] lr: 7.581e-03, eta: 8:11:10, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 1.5340, loss: 1.5340 2023-12-23 21:41:03,139 - pyskl - INFO - Epoch [95][500/1281] lr: 7.562e-03, eta: 8:10:29, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 1.5336, loss: 1.5336 2023-12-23 21:41:44,913 - pyskl - INFO - Epoch [95][600/1281] lr: 7.543e-03, eta: 8:09:47, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 1.5590, loss: 1.5590 2023-12-23 21:42:26,623 - pyskl - INFO - Epoch [95][700/1281] lr: 7.525e-03, eta: 8:09:06, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 1.5430, loss: 1.5430 2023-12-23 21:43:08,227 - pyskl - INFO - Epoch [95][800/1281] lr: 7.506e-03, eta: 8:08:25, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 1.5912, loss: 1.5912 2023-12-23 21:43:49,966 - pyskl - INFO - Epoch [95][900/1281] lr: 7.487e-03, eta: 8:07:44, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 1.5583, loss: 1.5583 2023-12-23 21:44:31,713 - pyskl - INFO - Epoch [95][1000/1281] lr: 7.468e-03, eta: 8:07:03, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 1.5381, loss: 1.5381 2023-12-23 21:45:13,436 - pyskl - INFO - Epoch [95][1100/1281] lr: 7.450e-03, eta: 8:06:22, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 1.5310, loss: 1.5310 2023-12-23 21:45:55,199 - pyskl - INFO - Epoch [95][1200/1281] lr: 7.431e-03, eta: 8:05:41, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 1.5250, loss: 1.5250 2023-12-23 21:46:29,512 - pyskl - INFO - Saving checkpoint at 95 epochs 2023-12-23 21:47:32,722 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:47:32,779 - pyskl - INFO - top1_acc 0.8902 top5_acc 0.9910 2023-12-23 21:47:32,779 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:47:32,786 - pyskl - INFO - mean_acc 0.8625 2023-12-23 21:47:32,788 - pyskl - INFO - Epoch(val) [95][533] top1_acc: 0.8902, top5_acc: 0.9910, mean_class_accuracy: 0.8625 2023-12-23 21:48:22,336 - pyskl - INFO - Epoch [96][100/1281] lr: 7.397e-03, eta: 8:04:12, time: 0.495, data_time: 0.173, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 1.4560, loss: 1.4560 2023-12-23 21:49:04,013 - pyskl - INFO - Epoch [96][200/1281] lr: 7.379e-03, eta: 8:03:31, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 1.4950, loss: 1.4950 2023-12-23 21:49:45,754 - pyskl - INFO - Epoch [96][300/1281] lr: 7.360e-03, eta: 8:02:50, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.4814, loss: 1.4814 2023-12-23 21:50:27,475 - pyskl - INFO - Epoch [96][400/1281] lr: 7.341e-03, eta: 8:02:08, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.4555, loss: 1.4555 2023-12-23 21:51:09,132 - pyskl - INFO - Epoch [96][500/1281] lr: 7.323e-03, eta: 8:01:27, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 1.4709, loss: 1.4709 2023-12-23 21:51:50,808 - pyskl - INFO - Epoch [96][600/1281] lr: 7.304e-03, eta: 8:00:46, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 1.4721, loss: 1.4721 2023-12-23 21:52:32,460 - pyskl - INFO - Epoch [96][700/1281] lr: 7.286e-03, eta: 8:00:05, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 1.5076, loss: 1.5076 2023-12-23 21:53:14,330 - pyskl - INFO - Epoch [96][800/1281] lr: 7.267e-03, eta: 7:59:24, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.4680, loss: 1.4680 2023-12-23 21:53:56,023 - pyskl - INFO - Epoch [96][900/1281] lr: 7.249e-03, eta: 7:58:43, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.4393, loss: 1.4393 2023-12-23 21:54:37,776 - pyskl - INFO - Epoch [96][1000/1281] lr: 7.230e-03, eta: 7:58:02, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.4881, loss: 1.4881 2023-12-23 21:55:19,415 - pyskl - INFO - Epoch [96][1100/1281] lr: 7.211e-03, eta: 7:57:21, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.4341, loss: 1.4341 2023-12-23 21:56:01,065 - pyskl - INFO - Epoch [96][1200/1281] lr: 7.193e-03, eta: 7:56:40, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 1.5115, loss: 1.5115 2023-12-23 21:56:35,368 - pyskl - INFO - Saving checkpoint at 96 epochs 2023-12-23 21:57:38,754 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:57:38,808 - pyskl - INFO - top1_acc 0.8882 top5_acc 0.9906 2023-12-23 21:57:38,808 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:57:38,815 - pyskl - INFO - mean_acc 0.8518 2023-12-23 21:57:38,817 - pyskl - INFO - Epoch(val) [96][533] top1_acc: 0.8882, top5_acc: 0.9906, mean_class_accuracy: 0.8518 2023-12-23 21:58:28,071 - pyskl - INFO - Epoch [97][100/1281] lr: 7.159e-03, eta: 7:55:11, time: 0.492, data_time: 0.170, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.4491, loss: 1.4491 2023-12-23 21:59:10,719 - pyskl - INFO - Epoch [97][200/1281] lr: 7.141e-03, eta: 7:54:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.4503, loss: 1.4503 2023-12-23 21:59:53,273 - pyskl - INFO - Epoch [97][300/1281] lr: 7.123e-03, eta: 7:53:50, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 1.4965, loss: 1.4965 2023-12-23 22:00:35,901 - pyskl - INFO - Epoch [97][400/1281] lr: 7.104e-03, eta: 7:53:09, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 1.4559, loss: 1.4559 2023-12-23 22:01:18,385 - pyskl - INFO - Epoch [97][500/1281] lr: 7.086e-03, eta: 7:52:29, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 1.4853, loss: 1.4853 2023-12-23 22:02:00,192 - pyskl - INFO - Epoch [97][600/1281] lr: 7.067e-03, eta: 7:51:48, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.4586, loss: 1.4586 2023-12-23 22:02:41,903 - pyskl - INFO - Epoch [97][700/1281] lr: 7.049e-03, eta: 7:51:07, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.4597, loss: 1.4597 2023-12-23 22:03:23,729 - pyskl - INFO - Epoch [97][800/1281] lr: 7.030e-03, eta: 7:50:26, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 1.4951, loss: 1.4951 2023-12-23 22:04:05,442 - pyskl - INFO - Epoch [97][900/1281] lr: 7.012e-03, eta: 7:49:45, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.4483, loss: 1.4483 2023-12-23 22:04:47,145 - pyskl - INFO - Epoch [97][1000/1281] lr: 6.994e-03, eta: 7:49:04, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.4626, loss: 1.4626 2023-12-23 22:05:28,964 - pyskl - INFO - Epoch [97][1100/1281] lr: 6.975e-03, eta: 7:48:23, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.4579, loss: 1.4579 2023-12-23 22:06:10,706 - pyskl - INFO - Epoch [97][1200/1281] lr: 6.957e-03, eta: 7:47:42, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 1.4176, loss: 1.4176 2023-12-23 22:06:44,996 - pyskl - INFO - Saving checkpoint at 97 epochs 2023-12-23 22:07:47,944 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:07:47,999 - pyskl - INFO - top1_acc 0.8776 top5_acc 0.9898 2023-12-23 22:07:47,999 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:07:48,006 - pyskl - INFO - mean_acc 0.8472 2023-12-23 22:07:48,008 - pyskl - INFO - Epoch(val) [97][533] top1_acc: 0.8776, top5_acc: 0.9898, mean_class_accuracy: 0.8472 2023-12-23 22:08:36,808 - pyskl - INFO - Epoch [98][100/1281] lr: 6.924e-03, eta: 7:46:13, time: 0.488, data_time: 0.169, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.4312, loss: 1.4312 2023-12-23 22:09:18,575 - pyskl - INFO - Epoch [98][200/1281] lr: 6.906e-03, eta: 7:45:32, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 1.4742, loss: 1.4742 2023-12-23 22:10:00,314 - pyskl - INFO - Epoch [98][300/1281] lr: 6.887e-03, eta: 7:44:51, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.4480, loss: 1.4480 2023-12-23 22:10:42,187 - pyskl - INFO - Epoch [98][400/1281] lr: 6.869e-03, eta: 7:44:10, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.4215, loss: 1.4215 2023-12-23 22:11:23,912 - pyskl - INFO - Epoch [98][500/1281] lr: 6.851e-03, eta: 7:43:29, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 1.4229, loss: 1.4229 2023-12-23 22:12:05,552 - pyskl - INFO - Epoch [98][600/1281] lr: 6.833e-03, eta: 7:42:48, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.4421, loss: 1.4421 2023-12-23 22:12:47,226 - pyskl - INFO - Epoch [98][700/1281] lr: 6.814e-03, eta: 7:42:07, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.4950, loss: 1.4950 2023-12-23 22:13:28,878 - pyskl - INFO - Epoch [98][800/1281] lr: 6.796e-03, eta: 7:41:26, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.4139, loss: 1.4139 2023-12-23 22:14:10,646 - pyskl - INFO - Epoch [98][900/1281] lr: 6.778e-03, eta: 7:40:45, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 1.4529, loss: 1.4529 2023-12-23 22:14:52,477 - pyskl - INFO - Epoch [98][1000/1281] lr: 6.760e-03, eta: 7:40:04, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 1.4139, loss: 1.4139 2023-12-23 22:15:34,151 - pyskl - INFO - Epoch [98][1100/1281] lr: 6.742e-03, eta: 7:39:23, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.4456, loss: 1.4456 2023-12-23 22:16:15,846 - pyskl - INFO - Epoch [98][1200/1281] lr: 6.724e-03, eta: 7:38:42, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 1.4776, loss: 1.4776 2023-12-23 22:16:50,344 - pyskl - INFO - Saving checkpoint at 98 epochs 2023-12-23 22:17:52,673 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:17:52,728 - pyskl - INFO - top1_acc 0.8879 top5_acc 0.9917 2023-12-23 22:17:52,728 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:17:52,735 - pyskl - INFO - mean_acc 0.8459 2023-12-23 22:17:52,737 - pyskl - INFO - Epoch(val) [98][533] top1_acc: 0.8879, top5_acc: 0.9917, mean_class_accuracy: 0.8459 2023-12-23 22:18:42,139 - pyskl - INFO - Epoch [99][100/1281] lr: 6.691e-03, eta: 7:37:13, time: 0.494, data_time: 0.175, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.3525, loss: 1.3525 2023-12-23 22:19:24,644 - pyskl - INFO - Epoch [99][200/1281] lr: 6.673e-03, eta: 7:36:33, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.4018, loss: 1.4018 2023-12-23 22:20:07,193 - pyskl - INFO - Epoch [99][300/1281] lr: 6.655e-03, eta: 7:35:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.4508, loss: 1.4508 2023-12-23 22:20:49,747 - pyskl - INFO - Epoch [99][400/1281] lr: 6.637e-03, eta: 7:35:12, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.3772, loss: 1.3772 2023-12-23 22:21:32,297 - pyskl - INFO - Epoch [99][500/1281] lr: 6.619e-03, eta: 7:34:31, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.4203, loss: 1.4203 2023-12-23 22:22:14,799 - pyskl - INFO - Epoch [99][600/1281] lr: 6.601e-03, eta: 7:33:51, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.4506, loss: 1.4506 2023-12-23 22:22:56,496 - pyskl - INFO - Epoch [99][700/1281] lr: 6.583e-03, eta: 7:33:10, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.3785, loss: 1.3785 2023-12-23 22:23:38,296 - pyskl - INFO - Epoch [99][800/1281] lr: 6.565e-03, eta: 7:32:29, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.4165, loss: 1.4165 2023-12-23 22:24:20,000 - pyskl - INFO - Epoch [99][900/1281] lr: 6.547e-03, eta: 7:31:48, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.3740, loss: 1.3740 2023-12-23 22:25:01,795 - pyskl - INFO - Epoch [99][1000/1281] lr: 6.529e-03, eta: 7:31:07, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.4214, loss: 1.4214 2023-12-23 22:25:43,487 - pyskl - INFO - Epoch [99][1100/1281] lr: 6.511e-03, eta: 7:30:26, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.3919, loss: 1.3919 2023-12-23 22:26:25,113 - pyskl - INFO - Epoch [99][1200/1281] lr: 6.493e-03, eta: 7:29:45, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 1.4410, loss: 1.4410 2023-12-23 22:26:59,510 - pyskl - INFO - Saving checkpoint at 99 epochs 2023-12-23 22:28:02,291 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:28:02,354 - pyskl - INFO - top1_acc 0.8977 top5_acc 0.9903 2023-12-23 22:28:02,354 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:28:02,364 - pyskl - INFO - mean_acc 0.8632 2023-12-23 22:28:02,370 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_92.pth was removed 2023-12-23 22:28:02,579 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. 2023-12-23 22:28:02,580 - pyskl - INFO - Best top1_acc is 0.8977 at 99 epoch. 2023-12-23 22:28:02,582 - pyskl - INFO - Epoch(val) [99][533] top1_acc: 0.8977, top5_acc: 0.9903, mean_class_accuracy: 0.8632 2023-12-23 22:28:51,884 - pyskl - INFO - Epoch [100][100/1281] lr: 6.460e-03, eta: 7:28:17, time: 0.493, data_time: 0.175, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.3654, loss: 1.3654 2023-12-23 22:29:33,584 - pyskl - INFO - Epoch [100][200/1281] lr: 6.442e-03, eta: 7:27:36, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.3766, loss: 1.3766 2023-12-23 22:30:15,320 - pyskl - INFO - Epoch [100][300/1281] lr: 6.425e-03, eta: 7:26:55, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.3563, loss: 1.3563 2023-12-23 22:30:57,104 - pyskl - INFO - Epoch [100][400/1281] lr: 6.407e-03, eta: 7:26:14, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.3230, loss: 1.3230 2023-12-23 22:31:38,837 - pyskl - INFO - Epoch [100][500/1281] lr: 6.389e-03, eta: 7:25:33, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 1.3709, loss: 1.3709 2023-12-23 22:32:20,665 - pyskl - INFO - Epoch [100][600/1281] lr: 6.371e-03, eta: 7:24:52, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.3784, loss: 1.3784 2023-12-23 22:33:02,344 - pyskl - INFO - Epoch [100][700/1281] lr: 6.353e-03, eta: 7:24:11, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 1.4190, loss: 1.4190 2023-12-23 22:33:44,045 - pyskl - INFO - Epoch [100][800/1281] lr: 6.336e-03, eta: 7:23:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 1.4561, loss: 1.4561 2023-12-23 22:34:25,756 - pyskl - INFO - Epoch [100][900/1281] lr: 6.318e-03, eta: 7:22:49, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 1.4093, loss: 1.4093 2023-12-23 22:35:07,437 - pyskl - INFO - Epoch [100][1000/1281] lr: 6.300e-03, eta: 7:22:08, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.4467, loss: 1.4467 2023-12-23 22:35:49,240 - pyskl - INFO - Epoch [100][1100/1281] lr: 6.282e-03, eta: 7:21:27, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 1.4468, loss: 1.4468 2023-12-23 22:36:30,849 - pyskl - INFO - Epoch [100][1200/1281] lr: 6.265e-03, eta: 7:20:46, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.3926, loss: 1.3926 2023-12-23 22:37:05,095 - pyskl - INFO - Saving checkpoint at 100 epochs 2023-12-23 22:38:06,875 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:38:06,944 - pyskl - INFO - top1_acc 0.8971 top5_acc 0.9919 2023-12-23 22:38:06,944 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:38:06,952 - pyskl - INFO - mean_acc 0.8741 2023-12-23 22:38:06,954 - pyskl - INFO - Epoch(val) [100][533] top1_acc: 0.8971, top5_acc: 0.9919, mean_class_accuracy: 0.8741 2023-12-23 22:38:56,435 - pyskl - INFO - Epoch [101][100/1281] lr: 6.232e-03, eta: 7:19:19, time: 0.495, data_time: 0.180, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.3294, loss: 1.3294 2023-12-23 22:39:38,268 - pyskl - INFO - Epoch [101][200/1281] lr: 6.215e-03, eta: 7:18:38, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.3648, loss: 1.3648 2023-12-23 22:40:20,014 - pyskl - INFO - Epoch [101][300/1281] lr: 6.197e-03, eta: 7:17:57, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.3567, loss: 1.3567 2023-12-23 22:41:01,713 - pyskl - INFO - Epoch [101][400/1281] lr: 6.180e-03, eta: 7:17:16, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3208, loss: 1.3208 2023-12-23 22:41:43,494 - pyskl - INFO - Epoch [101][500/1281] lr: 6.162e-03, eta: 7:16:35, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.3467, loss: 1.3467 2023-12-23 22:42:25,108 - pyskl - INFO - Epoch [101][600/1281] lr: 6.144e-03, eta: 7:15:54, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.3573, loss: 1.3573 2023-12-23 22:43:06,909 - pyskl - INFO - Epoch [101][700/1281] lr: 6.127e-03, eta: 7:15:13, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.3727, loss: 1.3727 2023-12-23 22:43:48,571 - pyskl - INFO - Epoch [101][800/1281] lr: 6.109e-03, eta: 7:14:32, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.3600, loss: 1.3600 2023-12-23 22:44:30,314 - pyskl - INFO - Epoch [101][900/1281] lr: 6.092e-03, eta: 7:13:51, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 1.4036, loss: 1.4036 2023-12-23 22:45:12,189 - pyskl - INFO - Epoch [101][1000/1281] lr: 6.074e-03, eta: 7:13:10, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.4213, loss: 1.4213 2023-12-23 22:45:53,923 - pyskl - INFO - Epoch [101][1100/1281] lr: 6.057e-03, eta: 7:12:29, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.3918, loss: 1.3918 2023-12-23 22:46:35,700 - pyskl - INFO - Epoch [101][1200/1281] lr: 6.039e-03, eta: 7:11:48, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 1.4240, loss: 1.4240 2023-12-23 22:47:09,998 - pyskl - INFO - Saving checkpoint at 101 epochs 2023-12-23 22:48:11,206 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:48:11,270 - pyskl - INFO - top1_acc 0.8879 top5_acc 0.9910 2023-12-23 22:48:11,270 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:48:11,280 - pyskl - INFO - mean_acc 0.8488 2023-12-23 22:48:11,283 - pyskl - INFO - Epoch(val) [101][533] top1_acc: 0.8879, top5_acc: 0.9910, mean_class_accuracy: 0.8488 2023-12-23 22:48:58,778 - pyskl - INFO - Epoch [102][100/1281] lr: 6.007e-03, eta: 7:10:20, time: 0.475, data_time: 0.172, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.3627, loss: 1.3627 2023-12-23 22:49:40,615 - pyskl - INFO - Epoch [102][200/1281] lr: 5.990e-03, eta: 7:09:40, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.3432, loss: 1.3432 2023-12-23 22:50:22,341 - pyskl - INFO - Epoch [102][300/1281] lr: 5.972e-03, eta: 7:08:59, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.3205, loss: 1.3205 2023-12-23 22:51:04,038 - pyskl - INFO - Epoch [102][400/1281] lr: 5.955e-03, eta: 7:08:18, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.3076, loss: 1.3076 2023-12-23 22:51:45,669 - pyskl - INFO - Epoch [102][500/1281] lr: 5.938e-03, eta: 7:07:37, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.2877, loss: 1.2877 2023-12-23 22:52:27,414 - pyskl - INFO - Epoch [102][600/1281] lr: 5.920e-03, eta: 7:06:56, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.3242, loss: 1.3242 2023-12-23 22:53:09,125 - pyskl - INFO - Epoch [102][700/1281] lr: 5.903e-03, eta: 7:06:15, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.3492, loss: 1.3492 2023-12-23 22:53:50,933 - pyskl - INFO - Epoch [102][800/1281] lr: 5.886e-03, eta: 7:05:34, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.3623, loss: 1.3623 2023-12-23 22:54:32,550 - pyskl - INFO - Epoch [102][900/1281] lr: 5.868e-03, eta: 7:04:53, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.3857, loss: 1.3857 2023-12-23 22:55:14,218 - pyskl - INFO - Epoch [102][1000/1281] lr: 5.851e-03, eta: 7:04:12, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 1.3887, loss: 1.3887 2023-12-23 22:55:55,854 - pyskl - INFO - Epoch [102][1100/1281] lr: 5.834e-03, eta: 7:03:31, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.3780, loss: 1.3780 2023-12-23 22:56:37,551 - pyskl - INFO - Epoch [102][1200/1281] lr: 5.816e-03, eta: 7:02:50, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.3529, loss: 1.3529 2023-12-23 22:57:11,874 - pyskl - INFO - Saving checkpoint at 102 epochs 2023-12-23 22:58:11,429 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:58:11,499 - pyskl - INFO - top1_acc 0.8950 top5_acc 0.9901 2023-12-23 22:58:11,499 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:58:11,507 - pyskl - INFO - mean_acc 0.8543 2023-12-23 22:58:11,509 - pyskl - INFO - Epoch(val) [102][533] top1_acc: 0.8950, top5_acc: 0.9901, mean_class_accuracy: 0.8543 2023-12-23 22:58:58,356 - pyskl - INFO - Epoch [103][100/1281] lr: 5.785e-03, eta: 7:01:22, time: 0.468, data_time: 0.172, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.3543, loss: 1.3543 2023-12-23 22:59:40,111 - pyskl - INFO - Epoch [103][200/1281] lr: 5.768e-03, eta: 7:00:41, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.3416, loss: 1.3416 2023-12-23 23:00:21,755 - pyskl - INFO - Epoch [103][300/1281] lr: 5.751e-03, eta: 7:00:00, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.2960, loss: 1.2960 2023-12-23 23:01:03,507 - pyskl - INFO - Epoch [103][400/1281] lr: 5.733e-03, eta: 6:59:19, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.3224, loss: 1.3224 2023-12-23 23:01:45,243 - pyskl - INFO - Epoch [103][500/1281] lr: 5.716e-03, eta: 6:58:38, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.3400, loss: 1.3400 2023-12-23 23:02:26,877 - pyskl - INFO - Epoch [103][600/1281] lr: 5.699e-03, eta: 6:57:57, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.3302, loss: 1.3302 2023-12-23 23:03:08,564 - pyskl - INFO - Epoch [103][700/1281] lr: 5.682e-03, eta: 6:57:17, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.3364, loss: 1.3364 2023-12-23 23:03:50,222 - pyskl - INFO - Epoch [103][800/1281] lr: 5.665e-03, eta: 6:56:36, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.3233, loss: 1.3233 2023-12-23 23:04:31,854 - pyskl - INFO - Epoch [103][900/1281] lr: 5.648e-03, eta: 6:55:55, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.3296, loss: 1.3296 2023-12-23 23:05:13,567 - pyskl - INFO - Epoch [103][1000/1281] lr: 5.631e-03, eta: 6:55:14, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.3532, loss: 1.3532 2023-12-23 23:05:55,424 - pyskl - INFO - Epoch [103][1100/1281] lr: 5.614e-03, eta: 6:54:33, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 1.3891, loss: 1.3891 2023-12-23 23:06:37,077 - pyskl - INFO - Epoch [103][1200/1281] lr: 5.597e-03, eta: 6:53:52, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.3392, loss: 1.3392 2023-12-23 23:07:11,715 - pyskl - INFO - Saving checkpoint at 103 epochs 2023-12-23 23:08:10,295 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:08:10,351 - pyskl - INFO - top1_acc 0.8938 top5_acc 0.9887 2023-12-23 23:08:10,352 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:08:10,358 - pyskl - INFO - mean_acc 0.8651 2023-12-23 23:08:10,360 - pyskl - INFO - Epoch(val) [103][533] top1_acc: 0.8938, top5_acc: 0.9887, mean_class_accuracy: 0.8651 2023-12-23 23:08:55,801 - pyskl - INFO - Epoch [104][100/1281] lr: 5.566e-03, eta: 6:52:24, time: 0.454, data_time: 0.169, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.3064, loss: 1.3064 2023-12-23 23:09:38,351 - pyskl - INFO - Epoch [104][200/1281] lr: 5.549e-03, eta: 6:51:43, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.3117, loss: 1.3117 2023-12-23 23:10:20,947 - pyskl - INFO - Epoch [104][300/1281] lr: 5.532e-03, eta: 6:51:03, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.3261, loss: 1.3261 2023-12-23 23:11:03,559 - pyskl - INFO - Epoch [104][400/1281] lr: 5.515e-03, eta: 6:50:22, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3105, loss: 1.3105 2023-12-23 23:11:46,135 - pyskl - INFO - Epoch [104][500/1281] lr: 5.498e-03, eta: 6:49:42, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.3037, loss: 1.3037 2023-12-23 23:12:28,640 - pyskl - INFO - Epoch [104][600/1281] lr: 5.481e-03, eta: 6:49:01, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.3512, loss: 1.3512 2023-12-23 23:13:11,310 - pyskl - INFO - Epoch [104][700/1281] lr: 5.464e-03, eta: 6:48:21, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.2717, loss: 1.2717 2023-12-23 23:13:53,828 - pyskl - INFO - Epoch [104][800/1281] lr: 5.447e-03, eta: 6:47:40, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.3335, loss: 1.3335 2023-12-23 23:14:36,414 - pyskl - INFO - Epoch [104][900/1281] lr: 5.430e-03, eta: 6:47:00, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.3184, loss: 1.3184 2023-12-23 23:15:18,926 - pyskl - INFO - Epoch [104][1000/1281] lr: 5.413e-03, eta: 6:46:19, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 1.3399, loss: 1.3399 2023-12-23 23:16:01,527 - pyskl - INFO - Epoch [104][1100/1281] lr: 5.397e-03, eta: 6:45:39, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.3135, loss: 1.3135 2023-12-23 23:16:44,161 - pyskl - INFO - Epoch [104][1200/1281] lr: 5.380e-03, eta: 6:44:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.3340, loss: 1.3340 2023-12-23 23:17:19,317 - pyskl - INFO - Saving checkpoint at 104 epochs 2023-12-23 23:18:17,826 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:18:17,894 - pyskl - INFO - top1_acc 0.8866 top5_acc 0.9917 2023-12-23 23:18:17,894 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:18:17,903 - pyskl - INFO - mean_acc 0.8525 2023-12-23 23:18:17,905 - pyskl - INFO - Epoch(val) [104][533] top1_acc: 0.8866, top5_acc: 0.9917, mean_class_accuracy: 0.8525 2023-12-23 23:19:03,873 - pyskl - INFO - Epoch [105][100/1281] lr: 5.349e-03, eta: 6:43:31, time: 0.460, data_time: 0.176, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.3367, loss: 1.3367 2023-12-23 23:19:46,578 - pyskl - INFO - Epoch [105][200/1281] lr: 5.333e-03, eta: 6:42:50, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2718, loss: 1.2718 2023-12-23 23:20:29,211 - pyskl - INFO - Epoch [105][300/1281] lr: 5.316e-03, eta: 6:42:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.3099, loss: 1.3099 2023-12-23 23:21:11,819 - pyskl - INFO - Epoch [105][400/1281] lr: 5.299e-03, eta: 6:41:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.2920, loss: 1.2920 2023-12-23 23:21:54,404 - pyskl - INFO - Epoch [105][500/1281] lr: 5.283e-03, eta: 6:40:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.3062, loss: 1.3062 2023-12-23 23:22:36,310 - pyskl - INFO - Epoch [105][600/1281] lr: 5.266e-03, eta: 6:40:08, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.3258, loss: 1.3258 2023-12-23 23:23:18,000 - pyskl - INFO - Epoch [105][700/1281] lr: 5.249e-03, eta: 6:39:27, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.3428, loss: 1.3428 2023-12-23 23:23:59,733 - pyskl - INFO - Epoch [105][800/1281] lr: 5.233e-03, eta: 6:38:46, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.3372, loss: 1.3372 2023-12-23 23:24:41,506 - pyskl - INFO - Epoch [105][900/1281] lr: 5.216e-03, eta: 6:38:05, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.3094, loss: 1.3094 2023-12-23 23:25:23,210 - pyskl - INFO - Epoch [105][1000/1281] lr: 5.199e-03, eta: 6:37:24, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.2938, loss: 1.2938 2023-12-23 23:26:04,911 - pyskl - INFO - Epoch [105][1100/1281] lr: 5.183e-03, eta: 6:36:43, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.3592, loss: 1.3592 2023-12-23 23:26:46,498 - pyskl - INFO - Epoch [105][1200/1281] lr: 5.166e-03, eta: 6:36:02, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.2949, loss: 1.2949 2023-12-23 23:27:20,749 - pyskl - INFO - Saving checkpoint at 105 epochs 2023-12-23 23:28:18,372 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:28:18,429 - pyskl - INFO - top1_acc 0.8990 top5_acc 0.9907 2023-12-23 23:28:18,429 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:28:18,437 - pyskl - INFO - mean_acc 0.8735 2023-12-23 23:28:18,441 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_99.pth was removed 2023-12-23 23:28:18,688 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. 2023-12-23 23:28:18,689 - pyskl - INFO - Best top1_acc is 0.8990 at 105 epoch. 2023-12-23 23:28:18,692 - pyskl - INFO - Epoch(val) [105][533] top1_acc: 0.8990, top5_acc: 0.9907, mean_class_accuracy: 0.8735 2023-12-23 23:29:04,251 - pyskl - INFO - Epoch [106][100/1281] lr: 5.136e-03, eta: 6:34:35, time: 0.456, data_time: 0.175, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.2738, loss: 1.2738 2023-12-23 23:29:46,075 - pyskl - INFO - Epoch [106][200/1281] lr: 5.120e-03, eta: 6:33:55, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.2530, loss: 1.2530 2023-12-23 23:30:27,720 - pyskl - INFO - Epoch [106][300/1281] lr: 5.103e-03, eta: 6:33:14, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.2507, loss: 1.2507 2023-12-23 23:31:09,454 - pyskl - INFO - Epoch [106][400/1281] lr: 5.087e-03, eta: 6:32:33, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.2742, loss: 1.2742 2023-12-23 23:31:51,154 - pyskl - INFO - Epoch [106][500/1281] lr: 5.070e-03, eta: 6:31:52, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.3387, loss: 1.3387 2023-12-23 23:32:32,753 - pyskl - INFO - Epoch [106][600/1281] lr: 5.054e-03, eta: 6:31:11, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.3072, loss: 1.3072 2023-12-23 23:33:14,488 - pyskl - INFO - Epoch [106][700/1281] lr: 5.038e-03, eta: 6:30:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.3684, loss: 1.3684 2023-12-23 23:33:56,247 - pyskl - INFO - Epoch [106][800/1281] lr: 5.021e-03, eta: 6:29:49, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.3004, loss: 1.3004 2023-12-23 23:34:38,029 - pyskl - INFO - Epoch [106][900/1281] lr: 5.005e-03, eta: 6:29:08, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.3237, loss: 1.3237 2023-12-23 23:35:19,893 - pyskl - INFO - Epoch [106][1000/1281] lr: 4.988e-03, eta: 6:28:27, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.2982, loss: 1.2982 2023-12-23 23:36:01,506 - pyskl - INFO - Epoch [106][1100/1281] lr: 4.972e-03, eta: 6:27:46, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.3142, loss: 1.3142 2023-12-23 23:36:43,175 - pyskl - INFO - Epoch [106][1200/1281] lr: 4.956e-03, eta: 6:27:06, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.2884, loss: 1.2884 2023-12-23 23:37:17,585 - pyskl - INFO - Saving checkpoint at 106 epochs 2023-12-23 23:38:14,565 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:38:14,619 - pyskl - INFO - top1_acc 0.8924 top5_acc 0.9934 2023-12-23 23:38:14,620 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:38:14,626 - pyskl - INFO - mean_acc 0.8609 2023-12-23 23:38:14,628 - pyskl - INFO - Epoch(val) [106][533] top1_acc: 0.8924, top5_acc: 0.9934, mean_class_accuracy: 0.8609 2023-12-23 23:38:59,428 - pyskl - INFO - Epoch [107][100/1281] lr: 4.926e-03, eta: 6:25:39, time: 0.448, data_time: 0.173, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.3245, loss: 1.3245 2023-12-23 23:39:41,288 - pyskl - INFO - Epoch [107][200/1281] lr: 4.910e-03, eta: 6:24:58, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.2962, loss: 1.2962 2023-12-23 23:40:23,048 - pyskl - INFO - Epoch [107][300/1281] lr: 4.894e-03, eta: 6:24:17, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.2513, loss: 1.2513 2023-12-23 23:41:04,835 - pyskl - INFO - Epoch [107][400/1281] lr: 4.878e-03, eta: 6:23:36, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.2661, loss: 1.2661 2023-12-23 23:41:46,520 - pyskl - INFO - Epoch [107][500/1281] lr: 4.862e-03, eta: 6:22:55, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.2597, loss: 1.2597 2023-12-23 23:42:28,290 - pyskl - INFO - Epoch [107][600/1281] lr: 4.845e-03, eta: 6:22:14, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.2747, loss: 1.2747 2023-12-23 23:43:10,080 - pyskl - INFO - Epoch [107][700/1281] lr: 4.829e-03, eta: 6:21:34, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.2646, loss: 1.2646 2023-12-23 23:43:51,801 - pyskl - INFO - Epoch [107][800/1281] lr: 4.813e-03, eta: 6:20:53, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.3564, loss: 1.3564 2023-12-23 23:44:33,460 - pyskl - INFO - Epoch [107][900/1281] lr: 4.797e-03, eta: 6:20:12, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.3247, loss: 1.3247 2023-12-23 23:45:15,167 - pyskl - INFO - Epoch [107][1000/1281] lr: 4.781e-03, eta: 6:19:31, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.3475, loss: 1.3475 2023-12-23 23:45:56,900 - pyskl - INFO - Epoch [107][1100/1281] lr: 4.765e-03, eta: 6:18:50, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.3242, loss: 1.3242 2023-12-23 23:46:38,639 - pyskl - INFO - Epoch [107][1200/1281] lr: 4.749e-03, eta: 6:18:09, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.3119, loss: 1.3119 2023-12-23 23:47:12,912 - pyskl - INFO - Saving checkpoint at 107 epochs 2023-12-23 23:48:09,699 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:48:09,766 - pyskl - INFO - top1_acc 0.9020 top5_acc 0.9907 2023-12-23 23:48:09,766 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:48:09,776 - pyskl - INFO - mean_acc 0.8833 2023-12-23 23:48:09,782 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_105.pth was removed 2023-12-23 23:48:09,976 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. 2023-12-23 23:48:09,977 - pyskl - INFO - Best top1_acc is 0.9020 at 107 epoch. 2023-12-23 23:48:09,980 - pyskl - INFO - Epoch(val) [107][533] top1_acc: 0.9020, top5_acc: 0.9907, mean_class_accuracy: 0.8833 2023-12-23 23:48:54,538 - pyskl - INFO - Epoch [108][100/1281] lr: 4.720e-03, eta: 6:16:43, time: 0.446, data_time: 0.175, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.2733, loss: 1.2733 2023-12-23 23:49:36,202 - pyskl - INFO - Epoch [108][200/1281] lr: 4.704e-03, eta: 6:16:02, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.2875, loss: 1.2875 2023-12-23 23:50:17,910 - pyskl - INFO - Epoch [108][300/1281] lr: 4.688e-03, eta: 6:15:21, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.2862, loss: 1.2862 2023-12-23 23:50:59,678 - pyskl - INFO - Epoch [108][400/1281] lr: 4.672e-03, eta: 6:14:40, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.2961, loss: 1.2961 2023-12-23 23:51:41,302 - pyskl - INFO - Epoch [108][500/1281] lr: 4.656e-03, eta: 6:13:59, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2888, loss: 1.2888 2023-12-23 23:52:22,984 - pyskl - INFO - Epoch [108][600/1281] lr: 4.640e-03, eta: 6:13:18, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.3029, loss: 1.3029 2023-12-23 23:53:04,844 - pyskl - INFO - Epoch [108][700/1281] lr: 4.624e-03, eta: 6:12:37, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2821, loss: 1.2821 2023-12-23 23:53:46,572 - pyskl - INFO - Epoch [108][800/1281] lr: 4.608e-03, eta: 6:11:57, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.2812, loss: 1.2812 2023-12-23 23:54:28,172 - pyskl - INFO - Epoch [108][900/1281] lr: 4.593e-03, eta: 6:11:16, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.3155, loss: 1.3155 2023-12-23 23:55:09,883 - pyskl - INFO - Epoch [108][1000/1281] lr: 4.577e-03, eta: 6:10:35, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.2572, loss: 1.2572 2023-12-23 23:55:51,676 - pyskl - INFO - Epoch [108][1100/1281] lr: 4.561e-03, eta: 6:09:54, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.2465, loss: 1.2465 2023-12-23 23:56:33,384 - pyskl - INFO - Epoch [108][1200/1281] lr: 4.545e-03, eta: 6:09:13, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.2943, loss: 1.2943 2023-12-23 23:57:07,784 - pyskl - INFO - Saving checkpoint at 108 epochs 2023-12-23 23:58:05,319 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:58:05,386 - pyskl - INFO - top1_acc 0.9080 top5_acc 0.9923 2023-12-23 23:58:05,386 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:58:05,395 - pyskl - INFO - mean_acc 0.8790 2023-12-23 23:58:05,399 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_107.pth was removed 2023-12-23 23:58:05,600 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_108.pth. 2023-12-23 23:58:05,600 - pyskl - INFO - Best top1_acc is 0.9080 at 108 epoch. 2023-12-23 23:58:05,603 - pyskl - INFO - Epoch(val) [108][533] top1_acc: 0.9080, top5_acc: 0.9923, mean_class_accuracy: 0.8790 2023-12-23 23:58:50,461 - pyskl - INFO - Epoch [109][100/1281] lr: 4.517e-03, eta: 6:07:47, time: 0.448, data_time: 0.171, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.2534, loss: 1.2534 2023-12-23 23:59:32,306 - pyskl - INFO - Epoch [109][200/1281] lr: 4.501e-03, eta: 6:07:06, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.2375, loss: 1.2375 2023-12-24 00:00:14,027 - pyskl - INFO - Epoch [109][300/1281] lr: 4.485e-03, eta: 6:06:26, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 1.2983, loss: 1.2983 2023-12-24 00:00:55,717 - pyskl - INFO - Epoch [109][400/1281] lr: 4.470e-03, eta: 6:05:45, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.2439, loss: 1.2439 2023-12-24 00:01:37,458 - pyskl - INFO - Epoch [109][500/1281] lr: 4.454e-03, eta: 6:05:04, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.2709, loss: 1.2709 2023-12-24 00:02:19,114 - pyskl - INFO - Epoch [109][600/1281] lr: 4.438e-03, eta: 6:04:23, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2285, loss: 1.2285 2023-12-24 00:03:00,785 - pyskl - INFO - Epoch [109][700/1281] lr: 4.423e-03, eta: 6:03:42, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.2574, loss: 1.2574 2023-12-24 00:03:42,512 - pyskl - INFO - Epoch [109][800/1281] lr: 4.407e-03, eta: 6:03:01, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.2519, loss: 1.2519 2023-12-24 00:04:24,204 - pyskl - INFO - Epoch [109][900/1281] lr: 4.391e-03, eta: 6:02:20, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.2488, loss: 1.2488 2023-12-24 00:05:06,004 - pyskl - INFO - Epoch [109][1000/1281] lr: 4.376e-03, eta: 6:01:39, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.2481, loss: 1.2481 2023-12-24 00:05:47,734 - pyskl - INFO - Epoch [109][1100/1281] lr: 4.360e-03, eta: 6:00:59, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.2567, loss: 1.2567 2023-12-24 00:06:29,548 - pyskl - INFO - Epoch [109][1200/1281] lr: 4.345e-03, eta: 6:00:18, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2626, loss: 1.2626 2023-12-24 00:07:04,711 - pyskl - INFO - Saving checkpoint at 109 epochs 2023-12-24 00:08:01,608 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:08:01,676 - pyskl - INFO - top1_acc 0.9048 top5_acc 0.9930 2023-12-24 00:08:01,676 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:08:01,684 - pyskl - INFO - mean_acc 0.8720 2023-12-24 00:08:01,686 - pyskl - INFO - Epoch(val) [109][533] top1_acc: 0.9048, top5_acc: 0.9930, mean_class_accuracy: 0.8720 2023-12-24 00:08:46,269 - pyskl - INFO - Epoch [110][100/1281] lr: 4.317e-03, eta: 5:58:52, time: 0.446, data_time: 0.170, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2175, loss: 1.2175 2023-12-24 00:09:27,918 - pyskl - INFO - Epoch [110][200/1281] lr: 4.301e-03, eta: 5:58:11, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2120, loss: 1.2120 2023-12-24 00:10:09,662 - pyskl - INFO - Epoch [110][300/1281] lr: 4.286e-03, eta: 5:57:31, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2013, loss: 1.2013 2023-12-24 00:10:51,457 - pyskl - INFO - Epoch [110][400/1281] lr: 4.271e-03, eta: 5:56:50, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2154, loss: 1.2154 2023-12-24 00:11:33,151 - pyskl - INFO - Epoch [110][500/1281] lr: 4.255e-03, eta: 5:56:09, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2569, loss: 1.2569 2023-12-24 00:12:14,954 - pyskl - INFO - Epoch [110][600/1281] lr: 4.240e-03, eta: 5:55:28, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.2398, loss: 1.2398 2023-12-24 00:12:56,657 - pyskl - INFO - Epoch [110][700/1281] lr: 4.225e-03, eta: 5:54:47, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.2504, loss: 1.2504 2023-12-24 00:13:38,362 - pyskl - INFO - Epoch [110][800/1281] lr: 4.209e-03, eta: 5:54:06, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.2713, loss: 1.2713 2023-12-24 00:14:20,070 - pyskl - INFO - Epoch [110][900/1281] lr: 4.194e-03, eta: 5:53:26, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.2815, loss: 1.2815 2023-12-24 00:15:01,792 - pyskl - INFO - Epoch [110][1000/1281] lr: 4.179e-03, eta: 5:52:45, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.2561, loss: 1.2561 2023-12-24 00:15:43,403 - pyskl - INFO - Epoch [110][1100/1281] lr: 4.164e-03, eta: 5:52:04, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.2372, loss: 1.2372 2023-12-24 00:16:25,359 - pyskl - INFO - Epoch [110][1200/1281] lr: 4.148e-03, eta: 5:51:23, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.2658, loss: 1.2658 2023-12-24 00:17:00,228 - pyskl - INFO - Saving checkpoint at 110 epochs 2023-12-24 00:17:57,395 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:17:57,450 - pyskl - INFO - top1_acc 0.9036 top5_acc 0.9924 2023-12-24 00:17:57,451 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:17:57,457 - pyskl - INFO - mean_acc 0.8764 2023-12-24 00:17:57,459 - pyskl - INFO - Epoch(val) [110][533] top1_acc: 0.9036, top5_acc: 0.9924, mean_class_accuracy: 0.8764 2023-12-24 00:18:40,680 - pyskl - INFO - Epoch [111][100/1281] lr: 4.121e-03, eta: 5:49:57, time: 0.432, data_time: 0.169, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2201, loss: 1.2201 2023-12-24 00:19:22,362 - pyskl - INFO - Epoch [111][200/1281] lr: 4.106e-03, eta: 5:49:17, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2229, loss: 1.2229 2023-12-24 00:20:05,023 - pyskl - INFO - Epoch [111][300/1281] lr: 4.091e-03, eta: 5:48:36, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1997, loss: 1.1997 2023-12-24 00:20:47,756 - pyskl - INFO - Epoch [111][400/1281] lr: 4.075e-03, eta: 5:47:56, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.2269, loss: 1.2269 2023-12-24 00:21:30,380 - pyskl - INFO - Epoch [111][500/1281] lr: 4.060e-03, eta: 5:47:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2219, loss: 1.2219 2023-12-24 00:22:12,988 - pyskl - INFO - Epoch [111][600/1281] lr: 4.045e-03, eta: 5:46:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1906, loss: 1.1906 2023-12-24 00:22:55,612 - pyskl - INFO - Epoch [111][700/1281] lr: 4.030e-03, eta: 5:45:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2335, loss: 1.2335 2023-12-24 00:23:38,320 - pyskl - INFO - Epoch [111][800/1281] lr: 4.015e-03, eta: 5:45:14, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.2339, loss: 1.2339 2023-12-24 00:24:20,907 - pyskl - INFO - Epoch [111][900/1281] lr: 4.000e-03, eta: 5:44:33, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2123, loss: 1.2123 2023-12-24 00:25:03,551 - pyskl - INFO - Epoch [111][1000/1281] lr: 3.985e-03, eta: 5:43:53, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2187, loss: 1.2187 2023-12-24 00:25:46,159 - pyskl - INFO - Epoch [111][1100/1281] lr: 3.970e-03, eta: 5:43:12, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2317, loss: 1.2317 2023-12-24 00:26:28,796 - pyskl - INFO - Epoch [111][1200/1281] lr: 3.955e-03, eta: 5:42:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2064, loss: 1.2064 2023-12-24 00:27:03,943 - pyskl - INFO - Saving checkpoint at 111 epochs 2023-12-24 00:28:00,220 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:28:00,286 - pyskl - INFO - top1_acc 0.9143 top5_acc 0.9918 2023-12-24 00:28:00,287 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:28:00,293 - pyskl - INFO - mean_acc 0.8858 2023-12-24 00:28:00,298 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_108.pth was removed 2023-12-24 00:28:00,514 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. 2023-12-24 00:28:00,514 - pyskl - INFO - Best top1_acc is 0.9143 at 111 epoch. 2023-12-24 00:28:00,518 - pyskl - INFO - Epoch(val) [111][533] top1_acc: 0.9143, top5_acc: 0.9918, mean_class_accuracy: 0.8858 2023-12-24 00:28:45,109 - pyskl - INFO - Epoch [112][100/1281] lr: 3.928e-03, eta: 5:41:07, time: 0.446, data_time: 0.173, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2003, loss: 1.2003 2023-12-24 00:29:27,675 - pyskl - INFO - Epoch [112][200/1281] lr: 3.914e-03, eta: 5:40:26, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1916, loss: 1.1916 2023-12-24 00:30:09,503 - pyskl - INFO - Epoch [112][300/1281] lr: 3.899e-03, eta: 5:39:45, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.2078, loss: 1.2078 2023-12-24 00:30:51,125 - pyskl - INFO - Epoch [112][400/1281] lr: 3.884e-03, eta: 5:39:05, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.1628, loss: 1.1628 2023-12-24 00:31:32,870 - pyskl - INFO - Epoch [112][500/1281] lr: 3.869e-03, eta: 5:38:24, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.1891, loss: 1.1891 2023-12-24 00:32:14,648 - pyskl - INFO - Epoch [112][600/1281] lr: 3.854e-03, eta: 5:37:43, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2001, loss: 1.2001 2023-12-24 00:32:56,369 - pyskl - INFO - Epoch [112][700/1281] lr: 3.840e-03, eta: 5:37:02, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2070, loss: 1.2070 2023-12-24 00:33:38,135 - pyskl - INFO - Epoch [112][800/1281] lr: 3.825e-03, eta: 5:36:21, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.1986, loss: 1.1986 2023-12-24 00:34:19,828 - pyskl - INFO - Epoch [112][900/1281] lr: 3.810e-03, eta: 5:35:41, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1872, loss: 1.1872 2023-12-24 00:35:01,583 - pyskl - INFO - Epoch [112][1000/1281] lr: 3.795e-03, eta: 5:35:00, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1911, loss: 1.1911 2023-12-24 00:35:43,335 - pyskl - INFO - Epoch [112][1100/1281] lr: 3.781e-03, eta: 5:34:19, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1969, loss: 1.1969 2023-12-24 00:36:24,946 - pyskl - INFO - Epoch [112][1200/1281] lr: 3.766e-03, eta: 5:33:38, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2030, loss: 1.2030 2023-12-24 00:36:59,141 - pyskl - INFO - Saving checkpoint at 112 epochs 2023-12-24 00:37:54,683 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:37:54,751 - pyskl - INFO - top1_acc 0.9120 top5_acc 0.9937 2023-12-24 00:37:54,751 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:37:54,759 - pyskl - INFO - mean_acc 0.8863 2023-12-24 00:37:54,761 - pyskl - INFO - Epoch(val) [112][533] top1_acc: 0.9120, top5_acc: 0.9937, mean_class_accuracy: 0.8863 2023-12-24 00:38:39,005 - pyskl - INFO - Epoch [113][100/1281] lr: 3.740e-03, eta: 5:32:14, time: 0.442, data_time: 0.177, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.1925, loss: 1.1925 2023-12-24 00:39:20,750 - pyskl - INFO - Epoch [113][200/1281] lr: 3.725e-03, eta: 5:31:33, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1965, loss: 1.1965 2023-12-24 00:40:02,567 - pyskl - INFO - Epoch [113][300/1281] lr: 3.711e-03, eta: 5:30:52, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1875, loss: 1.1875 2023-12-24 00:40:44,370 - pyskl - INFO - Epoch [113][400/1281] lr: 3.696e-03, eta: 5:30:11, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2295, loss: 1.2295 2023-12-24 00:41:26,130 - pyskl - INFO - Epoch [113][500/1281] lr: 3.682e-03, eta: 5:29:30, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2129, loss: 1.2129 2023-12-24 00:42:07,781 - pyskl - INFO - Epoch [113][600/1281] lr: 3.667e-03, eta: 5:28:50, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2132, loss: 1.2132 2023-12-24 00:42:49,469 - pyskl - INFO - Epoch [113][700/1281] lr: 3.653e-03, eta: 5:28:09, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.2158, loss: 1.2158 2023-12-24 00:43:31,171 - pyskl - INFO - Epoch [113][800/1281] lr: 3.638e-03, eta: 5:27:28, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2039, loss: 1.2039 2023-12-24 00:44:12,898 - pyskl - INFO - Epoch [113][900/1281] lr: 3.624e-03, eta: 5:26:47, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.2055, loss: 1.2055 2023-12-24 00:44:54,611 - pyskl - INFO - Epoch [113][1000/1281] lr: 3.610e-03, eta: 5:26:06, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2159, loss: 1.2159 2023-12-24 00:45:36,458 - pyskl - INFO - Epoch [113][1100/1281] lr: 3.595e-03, eta: 5:25:26, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.1935, loss: 1.1935 2023-12-24 00:46:18,256 - pyskl - INFO - Epoch [113][1200/1281] lr: 3.581e-03, eta: 5:24:45, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2179, loss: 1.2179 2023-12-24 00:46:52,657 - pyskl - INFO - Saving checkpoint at 113 epochs 2023-12-24 00:47:48,951 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:47:49,016 - pyskl - INFO - top1_acc 0.8968 top5_acc 0.9919 2023-12-24 00:47:49,016 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:47:49,026 - pyskl - INFO - mean_acc 0.8615 2023-12-24 00:47:49,030 - pyskl - INFO - Epoch(val) [113][533] top1_acc: 0.8968, top5_acc: 0.9919, mean_class_accuracy: 0.8615 2023-12-24 00:48:33,134 - pyskl - INFO - Epoch [114][100/1281] lr: 3.555e-03, eta: 5:23:21, time: 0.441, data_time: 0.171, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2053, loss: 1.2053 2023-12-24 00:49:15,731 - pyskl - INFO - Epoch [114][200/1281] lr: 3.541e-03, eta: 5:22:40, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2062, loss: 1.2062 2023-12-24 00:49:58,305 - pyskl - INFO - Epoch [114][300/1281] lr: 3.526e-03, eta: 5:22:00, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.1783, loss: 1.1783 2023-12-24 00:50:40,935 - pyskl - INFO - Epoch [114][400/1281] lr: 3.512e-03, eta: 5:21:19, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1923, loss: 1.1923 2023-12-24 00:51:23,606 - pyskl - INFO - Epoch [114][500/1281] lr: 3.498e-03, eta: 5:20:39, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2037, loss: 1.2037 2023-12-24 00:52:06,196 - pyskl - INFO - Epoch [114][600/1281] lr: 3.484e-03, eta: 5:19:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.2130, loss: 1.2130 2023-12-24 00:52:48,763 - pyskl - INFO - Epoch [114][700/1281] lr: 3.470e-03, eta: 5:19:18, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1869, loss: 1.1869 2023-12-24 00:53:31,347 - pyskl - INFO - Epoch [114][800/1281] lr: 3.456e-03, eta: 5:18:37, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1819, loss: 1.1819 2023-12-24 00:54:13,676 - pyskl - INFO - Epoch [114][900/1281] lr: 3.442e-03, eta: 5:17:56, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.1853, loss: 1.1853 2023-12-24 00:54:55,302 - pyskl - INFO - Epoch [114][1000/1281] lr: 3.427e-03, eta: 5:17:16, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1769, loss: 1.1769 2023-12-24 00:55:37,006 - pyskl - INFO - Epoch [114][1100/1281] lr: 3.413e-03, eta: 5:16:35, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2104, loss: 1.2104 2023-12-24 00:56:18,693 - pyskl - INFO - Epoch [114][1200/1281] lr: 3.399e-03, eta: 5:15:54, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2118, loss: 1.2118 2023-12-24 00:56:53,082 - pyskl - INFO - Saving checkpoint at 114 epochs 2023-12-24 00:57:49,146 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:57:49,202 - pyskl - INFO - top1_acc 0.9140 top5_acc 0.9926 2023-12-24 00:57:49,202 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:57:49,209 - pyskl - INFO - mean_acc 0.8861 2023-12-24 00:57:49,213 - pyskl - INFO - Epoch(val) [114][533] top1_acc: 0.9140, top5_acc: 0.9926, mean_class_accuracy: 0.8861 2023-12-24 00:58:32,424 - pyskl - INFO - Epoch [115][100/1281] lr: 3.374e-03, eta: 5:14:30, time: 0.432, data_time: 0.172, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1980, loss: 1.1980 2023-12-24 00:59:14,214 - pyskl - INFO - Epoch [115][200/1281] lr: 3.360e-03, eta: 5:13:49, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1849, loss: 1.1849 2023-12-24 00:59:55,912 - pyskl - INFO - Epoch [115][300/1281] lr: 3.346e-03, eta: 5:13:08, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1746, loss: 1.1746 2023-12-24 01:00:37,687 - pyskl - INFO - Epoch [115][400/1281] lr: 3.332e-03, eta: 5:12:28, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1745, loss: 1.1745 2023-12-24 01:01:19,320 - pyskl - INFO - Epoch [115][500/1281] lr: 3.318e-03, eta: 5:11:47, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1769, loss: 1.1769 2023-12-24 01:02:01,112 - pyskl - INFO - Epoch [115][600/1281] lr: 3.305e-03, eta: 5:11:06, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1920, loss: 1.1920 2023-12-24 01:02:42,720 - pyskl - INFO - Epoch [115][700/1281] lr: 3.291e-03, eta: 5:10:25, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1820, loss: 1.1820 2023-12-24 01:03:24,375 - pyskl - INFO - Epoch [115][800/1281] lr: 3.277e-03, eta: 5:09:44, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1672, loss: 1.1672 2023-12-24 01:04:06,081 - pyskl - INFO - Epoch [115][900/1281] lr: 3.263e-03, eta: 5:09:04, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2039, loss: 1.2039 2023-12-24 01:04:47,675 - pyskl - INFO - Epoch [115][1000/1281] lr: 3.249e-03, eta: 5:08:23, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1888, loss: 1.1888 2023-12-24 01:05:29,375 - pyskl - INFO - Epoch [115][1100/1281] lr: 3.236e-03, eta: 5:07:42, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1443, loss: 1.1443 2023-12-24 01:06:11,146 - pyskl - INFO - Epoch [115][1200/1281] lr: 3.222e-03, eta: 5:07:01, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1577, loss: 1.1577 2023-12-24 01:06:45,473 - pyskl - INFO - Saving checkpoint at 115 epochs 2023-12-24 01:07:40,864 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:07:40,931 - pyskl - INFO - top1_acc 0.9060 top5_acc 0.9932 2023-12-24 01:07:40,932 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:07:40,939 - pyskl - INFO - mean_acc 0.8790 2023-12-24 01:07:40,941 - pyskl - INFO - Epoch(val) [115][533] top1_acc: 0.9060, top5_acc: 0.9932, mean_class_accuracy: 0.8790 2023-12-24 01:08:24,656 - pyskl - INFO - Epoch [116][100/1281] lr: 3.197e-03, eta: 5:05:38, time: 0.437, data_time: 0.175, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1769, loss: 1.1769 2023-12-24 01:09:07,209 - pyskl - INFO - Epoch [116][200/1281] lr: 3.184e-03, eta: 5:04:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1920, loss: 1.1920 2023-12-24 01:09:49,772 - pyskl - INFO - Epoch [116][300/1281] lr: 3.170e-03, eta: 5:04:17, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1401, loss: 1.1401 2023-12-24 01:10:32,449 - pyskl - INFO - Epoch [116][400/1281] lr: 3.156e-03, eta: 5:03:36, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1705, loss: 1.1705 2023-12-24 01:11:15,033 - pyskl - INFO - Epoch [116][500/1281] lr: 3.143e-03, eta: 5:02:56, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1670, loss: 1.1670 2023-12-24 01:11:57,678 - pyskl - INFO - Epoch [116][600/1281] lr: 3.129e-03, eta: 5:02:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1444, loss: 1.1444 2023-12-24 01:12:40,267 - pyskl - INFO - Epoch [116][700/1281] lr: 3.116e-03, eta: 5:01:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1674, loss: 1.1674 2023-12-24 01:13:22,884 - pyskl - INFO - Epoch [116][800/1281] lr: 3.102e-03, eta: 5:00:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.2020, loss: 1.2020 2023-12-24 01:14:04,978 - pyskl - INFO - Epoch [116][900/1281] lr: 3.089e-03, eta: 5:00:13, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.1589, loss: 1.1589 2023-12-24 01:14:46,749 - pyskl - INFO - Epoch [116][1000/1281] lr: 3.075e-03, eta: 4:59:33, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.2094, loss: 1.2094 2023-12-24 01:15:28,589 - pyskl - INFO - Epoch [116][1100/1281] lr: 3.062e-03, eta: 4:58:52, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.1878, loss: 1.1878 2023-12-24 01:16:10,330 - pyskl - INFO - Epoch [116][1200/1281] lr: 3.049e-03, eta: 4:58:11, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.1743, loss: 1.1743 2023-12-24 01:16:44,702 - pyskl - INFO - Saving checkpoint at 116 epochs 2023-12-24 01:17:39,252 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:17:39,308 - pyskl - INFO - top1_acc 0.8938 top5_acc 0.9894 2023-12-24 01:17:39,308 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:17:39,315 - pyskl - INFO - mean_acc 0.8680 2023-12-24 01:17:39,317 - pyskl - INFO - Epoch(val) [116][533] top1_acc: 0.8938, top5_acc: 0.9894, mean_class_accuracy: 0.8680 2023-12-24 01:18:20,945 - pyskl - INFO - Epoch [117][100/1281] lr: 3.024e-03, eta: 4:56:47, time: 0.416, data_time: 0.171, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.1997, loss: 1.1997 2023-12-24 01:19:02,762 - pyskl - INFO - Epoch [117][200/1281] lr: 3.011e-03, eta: 4:56:07, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1649, loss: 1.1649 2023-12-24 01:19:44,506 - pyskl - INFO - Epoch [117][300/1281] lr: 2.998e-03, eta: 4:55:26, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1449, loss: 1.1449 2023-12-24 01:20:26,179 - pyskl - INFO - Epoch [117][400/1281] lr: 2.984e-03, eta: 4:54:45, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.1751, loss: 1.1751 2023-12-24 01:21:07,915 - pyskl - INFO - Epoch [117][500/1281] lr: 2.971e-03, eta: 4:54:04, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.1618, loss: 1.1618 2023-12-24 01:21:49,650 - pyskl - INFO - Epoch [117][600/1281] lr: 2.958e-03, eta: 4:53:23, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.1992, loss: 1.1992 2023-12-24 01:22:31,268 - pyskl - INFO - Epoch [117][700/1281] lr: 2.945e-03, eta: 4:52:43, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.1948, loss: 1.1948 2023-12-24 01:23:13,031 - pyskl - INFO - Epoch [117][800/1281] lr: 2.932e-03, eta: 4:52:02, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.2145, loss: 1.2145 2023-12-24 01:23:54,886 - pyskl - INFO - Epoch [117][900/1281] lr: 2.919e-03, eta: 4:51:21, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.1865, loss: 1.1865 2023-12-24 01:24:36,539 - pyskl - INFO - Epoch [117][1000/1281] lr: 2.905e-03, eta: 4:50:40, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1721, loss: 1.1721 2023-12-24 01:25:18,316 - pyskl - INFO - Epoch [117][1100/1281] lr: 2.892e-03, eta: 4:50:00, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.1976, loss: 1.1976 2023-12-24 01:26:00,068 - pyskl - INFO - Epoch [117][1200/1281] lr: 2.879e-03, eta: 4:49:19, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.1841, loss: 1.1841 2023-12-24 01:26:34,333 - pyskl - INFO - Saving checkpoint at 117 epochs 2023-12-24 01:27:29,047 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:27:29,102 - pyskl - INFO - top1_acc 0.9090 top5_acc 0.9913 2023-12-24 01:27:29,102 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:27:29,108 - pyskl - INFO - mean_acc 0.8795 2023-12-24 01:27:29,110 - pyskl - INFO - Epoch(val) [117][533] top1_acc: 0.9090, top5_acc: 0.9913, mean_class_accuracy: 0.8795 2023-12-24 01:28:11,475 - pyskl - INFO - Epoch [118][100/1281] lr: 2.856e-03, eta: 4:47:56, time: 0.424, data_time: 0.172, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1855, loss: 1.1855 2023-12-24 01:28:53,939 - pyskl - INFO - Epoch [118][200/1281] lr: 2.843e-03, eta: 4:47:15, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1624, loss: 1.1624 2023-12-24 01:29:35,671 - pyskl - INFO - Epoch [118][300/1281] lr: 2.830e-03, eta: 4:46:34, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.1808, loss: 1.1808 2023-12-24 01:30:17,445 - pyskl - INFO - Epoch [118][400/1281] lr: 2.817e-03, eta: 4:45:54, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1780, loss: 1.1780 2023-12-24 01:30:59,117 - pyskl - INFO - Epoch [118][500/1281] lr: 2.804e-03, eta: 4:45:13, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1643, loss: 1.1643 2023-12-24 01:31:40,882 - pyskl - INFO - Epoch [118][600/1281] lr: 2.791e-03, eta: 4:44:32, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1425, loss: 1.1425 2023-12-24 01:32:22,567 - pyskl - INFO - Epoch [118][700/1281] lr: 2.778e-03, eta: 4:43:51, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.1751, loss: 1.1751 2023-12-24 01:33:04,267 - pyskl - INFO - Epoch [118][800/1281] lr: 2.765e-03, eta: 4:43:11, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.1788, loss: 1.1788 2023-12-24 01:33:45,956 - pyskl - INFO - Epoch [118][900/1281] lr: 2.753e-03, eta: 4:42:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1658, loss: 1.1658 2023-12-24 01:34:27,829 - pyskl - INFO - Epoch [118][1000/1281] lr: 2.740e-03, eta: 4:41:49, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1512, loss: 1.1512 2023-12-24 01:35:09,632 - pyskl - INFO - Epoch [118][1100/1281] lr: 2.727e-03, eta: 4:41:08, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1472, loss: 1.1472 2023-12-24 01:35:51,421 - pyskl - INFO - Epoch [118][1200/1281] lr: 2.714e-03, eta: 4:40:28, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1421, loss: 1.1421 2023-12-24 01:36:25,677 - pyskl - INFO - Saving checkpoint at 118 epochs 2023-12-24 01:37:19,841 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:37:19,901 - pyskl - INFO - top1_acc 0.9136 top5_acc 0.9925 2023-12-24 01:37:19,901 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:37:19,913 - pyskl - INFO - mean_acc 0.8901 2023-12-24 01:37:19,916 - pyskl - INFO - Epoch(val) [118][533] top1_acc: 0.9136, top5_acc: 0.9925, mean_class_accuracy: 0.8901 2023-12-24 01:38:02,794 - pyskl - INFO - Epoch [119][100/1281] lr: 2.691e-03, eta: 4:39:05, time: 0.429, data_time: 0.175, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1552, loss: 1.1552 2023-12-24 01:38:44,400 - pyskl - INFO - Epoch [119][200/1281] lr: 2.679e-03, eta: 4:38:24, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1486, loss: 1.1486 2023-12-24 01:39:26,203 - pyskl - INFO - Epoch [119][300/1281] lr: 2.666e-03, eta: 4:37:43, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1528, loss: 1.1528 2023-12-24 01:40:07,899 - pyskl - INFO - Epoch [119][400/1281] lr: 2.653e-03, eta: 4:37:03, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1446, loss: 1.1446 2023-12-24 01:40:49,622 - pyskl - INFO - Epoch [119][500/1281] lr: 2.641e-03, eta: 4:36:22, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1540, loss: 1.1540 2023-12-24 01:41:31,355 - pyskl - INFO - Epoch [119][600/1281] lr: 2.628e-03, eta: 4:35:41, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1599, loss: 1.1599 2023-12-24 01:42:12,977 - pyskl - INFO - Epoch [119][700/1281] lr: 2.616e-03, eta: 4:35:00, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1169, loss: 1.1169 2023-12-24 01:42:54,665 - pyskl - INFO - Epoch [119][800/1281] lr: 2.603e-03, eta: 4:34:20, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1410, loss: 1.1410 2023-12-24 01:43:36,977 - pyskl - INFO - Epoch [119][900/1281] lr: 2.591e-03, eta: 4:33:39, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1522, loss: 1.1522 2023-12-24 01:44:19,399 - pyskl - INFO - Epoch [119][1000/1281] lr: 2.578e-03, eta: 4:32:59, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1245, loss: 1.1245 2023-12-24 01:45:01,979 - pyskl - INFO - Epoch [119][1100/1281] lr: 2.566e-03, eta: 4:32:18, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1306, loss: 1.1306 2023-12-24 01:45:44,651 - pyskl - INFO - Epoch [119][1200/1281] lr: 2.554e-03, eta: 4:31:38, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1265, loss: 1.1265 2023-12-24 01:46:19,650 - pyskl - INFO - Saving checkpoint at 119 epochs 2023-12-24 01:47:14,511 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:47:14,575 - pyskl - INFO - top1_acc 0.9166 top5_acc 0.9927 2023-12-24 01:47:14,575 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:47:14,584 - pyskl - INFO - mean_acc 0.8917 2023-12-24 01:47:14,588 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_111.pth was removed 2023-12-24 01:47:14,776 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. 2023-12-24 01:47:14,776 - pyskl - INFO - Best top1_acc is 0.9166 at 119 epoch. 2023-12-24 01:47:14,779 - pyskl - INFO - Epoch(val) [119][533] top1_acc: 0.9166, top5_acc: 0.9927, mean_class_accuracy: 0.8917 2023-12-24 01:47:57,288 - pyskl - INFO - Epoch [120][100/1281] lr: 2.531e-03, eta: 4:30:15, time: 0.425, data_time: 0.170, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1455, loss: 1.1455 2023-12-24 01:48:38,934 - pyskl - INFO - Epoch [120][200/1281] lr: 2.519e-03, eta: 4:29:34, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1323, loss: 1.1323 2023-12-24 01:49:20,750 - pyskl - INFO - Epoch [120][300/1281] lr: 2.507e-03, eta: 4:28:54, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1580, loss: 1.1580 2023-12-24 01:50:02,403 - pyskl - INFO - Epoch [120][400/1281] lr: 2.494e-03, eta: 4:28:13, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1182, loss: 1.1182 2023-12-24 01:50:44,181 - pyskl - INFO - Epoch [120][500/1281] lr: 2.482e-03, eta: 4:27:32, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1162, loss: 1.1162 2023-12-24 01:51:25,944 - pyskl - INFO - Epoch [120][600/1281] lr: 2.470e-03, eta: 4:26:51, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1523, loss: 1.1523 2023-12-24 01:52:07,607 - pyskl - INFO - Epoch [120][700/1281] lr: 2.458e-03, eta: 4:26:11, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1374, loss: 1.1374 2023-12-24 01:52:49,344 - pyskl - INFO - Epoch [120][800/1281] lr: 2.446e-03, eta: 4:25:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1535, loss: 1.1535 2023-12-24 01:53:30,978 - pyskl - INFO - Epoch [120][900/1281] lr: 2.433e-03, eta: 4:24:49, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1767, loss: 1.1767 2023-12-24 01:54:12,734 - pyskl - INFO - Epoch [120][1000/1281] lr: 2.421e-03, eta: 4:24:08, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1540, loss: 1.1540 2023-12-24 01:54:55,081 - pyskl - INFO - Epoch [120][1100/1281] lr: 2.409e-03, eta: 4:23:28, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1488, loss: 1.1488 2023-12-24 01:55:37,696 - pyskl - INFO - Epoch [120][1200/1281] lr: 2.397e-03, eta: 4:22:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1474, loss: 1.1474 2023-12-24 01:56:12,651 - pyskl - INFO - Saving checkpoint at 120 epochs 2023-12-24 01:57:08,137 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:57:08,193 - pyskl - INFO - top1_acc 0.9210 top5_acc 0.9926 2023-12-24 01:57:08,193 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:57:08,200 - pyskl - INFO - mean_acc 0.8922 2023-12-24 01:57:08,204 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_119.pth was removed 2023-12-24 01:57:08,414 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. 2023-12-24 01:57:08,414 - pyskl - INFO - Best top1_acc is 0.9210 at 120 epoch. 2023-12-24 01:57:08,418 - pyskl - INFO - Epoch(val) [120][533] top1_acc: 0.9210, top5_acc: 0.9926, mean_class_accuracy: 0.8922 2023-12-24 01:57:52,169 - pyskl - INFO - Epoch [121][100/1281] lr: 2.375e-03, eta: 4:21:26, time: 0.437, data_time: 0.173, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1210, loss: 1.1210 2023-12-24 01:58:33,893 - pyskl - INFO - Epoch [121][200/1281] lr: 2.363e-03, eta: 4:20:45, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1388, loss: 1.1388 2023-12-24 01:59:15,661 - pyskl - INFO - Epoch [121][300/1281] lr: 2.351e-03, eta: 4:20:04, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1320, loss: 1.1320 2023-12-24 01:59:57,294 - pyskl - INFO - Epoch [121][400/1281] lr: 2.340e-03, eta: 4:19:24, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1534, loss: 1.1534 2023-12-24 02:00:38,993 - pyskl - INFO - Epoch [121][500/1281] lr: 2.328e-03, eta: 4:18:43, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1413, loss: 1.1413 2023-12-24 02:01:20,847 - pyskl - INFO - Epoch [121][600/1281] lr: 2.316e-03, eta: 4:18:02, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1505, loss: 1.1505 2023-12-24 02:02:02,466 - pyskl - INFO - Epoch [121][700/1281] lr: 2.304e-03, eta: 4:17:21, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1469, loss: 1.1469 2023-12-24 02:02:44,165 - pyskl - INFO - Epoch [121][800/1281] lr: 2.292e-03, eta: 4:16:41, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1250, loss: 1.1250 2023-12-24 02:03:25,944 - pyskl - INFO - Epoch [121][900/1281] lr: 2.280e-03, eta: 4:16:00, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1171, loss: 1.1171 2023-12-24 02:04:07,804 - pyskl - INFO - Epoch [121][1000/1281] lr: 2.269e-03, eta: 4:15:19, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1352, loss: 1.1352 2023-12-24 02:04:49,667 - pyskl - INFO - Epoch [121][1100/1281] lr: 2.257e-03, eta: 4:14:38, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1352, loss: 1.1352 2023-12-24 02:05:31,440 - pyskl - INFO - Epoch [121][1200/1281] lr: 2.245e-03, eta: 4:13:58, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1513, loss: 1.1513 2023-12-24 02:06:05,816 - pyskl - INFO - Saving checkpoint at 121 epochs 2023-12-24 02:07:01,417 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:07:01,483 - pyskl - INFO - top1_acc 0.9110 top5_acc 0.9927 2023-12-24 02:07:01,483 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:07:01,494 - pyskl - INFO - mean_acc 0.8836 2023-12-24 02:07:01,498 - pyskl - INFO - Epoch(val) [121][533] top1_acc: 0.9110, top5_acc: 0.9927, mean_class_accuracy: 0.8836 2023-12-24 02:07:44,093 - pyskl - INFO - Epoch [122][100/1281] lr: 2.224e-03, eta: 4:12:36, time: 0.426, data_time: 0.169, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1550, loss: 1.1550 2023-12-24 02:08:26,659 - pyskl - INFO - Epoch [122][200/1281] lr: 2.212e-03, eta: 4:11:56, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1660, loss: 1.1660 2023-12-24 02:09:09,176 - pyskl - INFO - Epoch [122][300/1281] lr: 2.201e-03, eta: 4:11:15, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1391, loss: 1.1391 2023-12-24 02:09:51,787 - pyskl - INFO - Epoch [122][400/1281] lr: 2.189e-03, eta: 4:10:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1391, loss: 1.1391 2023-12-24 02:10:33,836 - pyskl - INFO - Epoch [122][500/1281] lr: 2.178e-03, eta: 4:09:54, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1389, loss: 1.1389 2023-12-24 02:11:15,620 - pyskl - INFO - Epoch [122][600/1281] lr: 2.166e-03, eta: 4:09:13, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1454, loss: 1.1454 2023-12-24 02:11:57,496 - pyskl - INFO - Epoch [122][700/1281] lr: 2.155e-03, eta: 4:08:33, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1384, loss: 1.1384 2023-12-24 02:12:39,328 - pyskl - INFO - Epoch [122][800/1281] lr: 2.143e-03, eta: 4:07:52, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1317, loss: 1.1317 2023-12-24 02:13:21,080 - pyskl - INFO - Epoch [122][900/1281] lr: 2.132e-03, eta: 4:07:11, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1482, loss: 1.1482 2023-12-24 02:14:02,912 - pyskl - INFO - Epoch [122][1000/1281] lr: 2.120e-03, eta: 4:06:30, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1657, loss: 1.1657 2023-12-24 02:14:44,655 - pyskl - INFO - Epoch [122][1100/1281] lr: 2.109e-03, eta: 4:05:50, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1414, loss: 1.1414 2023-12-24 02:15:26,397 - pyskl - INFO - Epoch [122][1200/1281] lr: 2.098e-03, eta: 4:05:09, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1630, loss: 1.1630 2023-12-24 02:16:00,636 - pyskl - INFO - Saving checkpoint at 122 epochs 2023-12-24 02:16:55,451 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:16:55,516 - pyskl - INFO - top1_acc 0.9202 top5_acc 0.9948 2023-12-24 02:16:55,516 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:16:55,526 - pyskl - INFO - mean_acc 0.8972 2023-12-24 02:16:55,531 - pyskl - INFO - Epoch(val) [122][533] top1_acc: 0.9202, top5_acc: 0.9948, mean_class_accuracy: 0.8972 2023-12-24 02:17:39,732 - pyskl - INFO - Epoch [123][100/1281] lr: 2.077e-03, eta: 4:03:48, time: 0.442, data_time: 0.178, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1245, loss: 1.1245 2023-12-24 02:18:21,368 - pyskl - INFO - Epoch [123][200/1281] lr: 2.066e-03, eta: 4:03:07, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1470, loss: 1.1470 2023-12-24 02:19:03,033 - pyskl - INFO - Epoch [123][300/1281] lr: 2.055e-03, eta: 4:02:27, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1199, loss: 1.1199 2023-12-24 02:19:44,804 - pyskl - INFO - Epoch [123][400/1281] lr: 2.044e-03, eta: 4:01:46, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1242, loss: 1.1242 2023-12-24 02:20:26,583 - pyskl - INFO - Epoch [123][500/1281] lr: 2.032e-03, eta: 4:01:05, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1488, loss: 1.1488 2023-12-24 02:21:08,438 - pyskl - INFO - Epoch [123][600/1281] lr: 2.021e-03, eta: 4:00:25, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1381, loss: 1.1381 2023-12-24 02:21:50,145 - pyskl - INFO - Epoch [123][700/1281] lr: 2.010e-03, eta: 3:59:44, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1544, loss: 1.1544 2023-12-24 02:22:31,762 - pyskl - INFO - Epoch [123][800/1281] lr: 1.999e-03, eta: 3:59:03, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1323, loss: 1.1323 2023-12-24 02:23:13,511 - pyskl - INFO - Epoch [123][900/1281] lr: 1.988e-03, eta: 3:58:22, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1226, loss: 1.1226 2023-12-24 02:23:55,188 - pyskl - INFO - Epoch [123][1000/1281] lr: 1.977e-03, eta: 3:57:42, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1434, loss: 1.1434 2023-12-24 02:24:36,945 - pyskl - INFO - Epoch [123][1100/1281] lr: 1.966e-03, eta: 3:57:01, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1061, loss: 1.1061 2023-12-24 02:25:18,749 - pyskl - INFO - Epoch [123][1200/1281] lr: 1.955e-03, eta: 3:56:20, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1532, loss: 1.1532 2023-12-24 02:25:53,107 - pyskl - INFO - Saving checkpoint at 123 epochs 2023-12-24 02:26:48,573 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:26:48,629 - pyskl - INFO - top1_acc 0.9225 top5_acc 0.9944 2023-12-24 02:26:48,629 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:26:48,636 - pyskl - INFO - mean_acc 0.8970 2023-12-24 02:26:48,641 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_120.pth was removed 2023-12-24 02:26:48,848 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. 2023-12-24 02:26:48,848 - pyskl - INFO - Best top1_acc is 0.9225 at 123 epoch. 2023-12-24 02:26:48,851 - pyskl - INFO - Epoch(val) [123][533] top1_acc: 0.9225, top5_acc: 0.9944, mean_class_accuracy: 0.8970 2023-12-24 02:27:32,934 - pyskl - INFO - Epoch [124][100/1281] lr: 1.935e-03, eta: 3:55:00, time: 0.441, data_time: 0.170, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1173, loss: 1.1173 2023-12-24 02:28:14,584 - pyskl - INFO - Epoch [124][200/1281] lr: 1.924e-03, eta: 3:54:19, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1119, loss: 1.1119 2023-12-24 02:28:56,268 - pyskl - INFO - Epoch [124][300/1281] lr: 1.913e-03, eta: 3:53:38, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1268, loss: 1.1268 2023-12-24 02:29:38,070 - pyskl - INFO - Epoch [124][400/1281] lr: 1.902e-03, eta: 3:52:57, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1004, loss: 1.1004 2023-12-24 02:30:20,618 - pyskl - INFO - Epoch [124][500/1281] lr: 1.892e-03, eta: 3:52:17, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1322, loss: 1.1322 2023-12-24 02:31:03,267 - pyskl - INFO - Epoch [124][600/1281] lr: 1.881e-03, eta: 3:51:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1091, loss: 1.1091 2023-12-24 02:31:45,838 - pyskl - INFO - Epoch [124][700/1281] lr: 1.870e-03, eta: 3:50:56, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1255, loss: 1.1255 2023-12-24 02:32:27,874 - pyskl - INFO - Epoch [124][800/1281] lr: 1.859e-03, eta: 3:50:15, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1257, loss: 1.1257 2023-12-24 02:33:09,543 - pyskl - INFO - Epoch [124][900/1281] lr: 1.849e-03, eta: 3:49:35, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1395, loss: 1.1395 2023-12-24 02:33:51,127 - pyskl - INFO - Epoch [124][1000/1281] lr: 1.838e-03, eta: 3:48:54, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1217, loss: 1.1217 2023-12-24 02:34:32,923 - pyskl - INFO - Epoch [124][1100/1281] lr: 1.827e-03, eta: 3:48:13, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1433, loss: 1.1433 2023-12-24 02:35:15,063 - pyskl - INFO - Epoch [124][1200/1281] lr: 1.817e-03, eta: 3:47:32, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1100, loss: 1.1100 2023-12-24 02:35:50,131 - pyskl - INFO - Saving checkpoint at 124 epochs 2023-12-24 02:36:46,950 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:36:47,007 - pyskl - INFO - top1_acc 0.9194 top5_acc 0.9935 2023-12-24 02:36:47,007 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:36:47,014 - pyskl - INFO - mean_acc 0.8928 2023-12-24 02:36:47,016 - pyskl - INFO - Epoch(val) [124][533] top1_acc: 0.9194, top5_acc: 0.9935, mean_class_accuracy: 0.8928 2023-12-24 02:37:31,979 - pyskl - INFO - Epoch [125][100/1281] lr: 1.797e-03, eta: 3:46:12, time: 0.450, data_time: 0.177, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1199, loss: 1.1199 2023-12-24 02:38:13,733 - pyskl - INFO - Epoch [125][200/1281] lr: 1.787e-03, eta: 3:45:32, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1470, loss: 1.1470 2023-12-24 02:38:55,543 - pyskl - INFO - Epoch [125][300/1281] lr: 1.776e-03, eta: 3:44:51, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1367, loss: 1.1367 2023-12-24 02:39:37,201 - pyskl - INFO - Epoch [125][400/1281] lr: 1.766e-03, eta: 3:44:10, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1399, loss: 1.1399 2023-12-24 02:40:18,861 - pyskl - INFO - Epoch [125][500/1281] lr: 1.755e-03, eta: 3:43:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1063, loss: 1.1063 2023-12-24 02:41:00,608 - pyskl - INFO - Epoch [125][600/1281] lr: 1.745e-03, eta: 3:42:49, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1169, loss: 1.1169 2023-12-24 02:41:42,244 - pyskl - INFO - Epoch [125][700/1281] lr: 1.735e-03, eta: 3:42:08, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1140, loss: 1.1140 2023-12-24 02:42:23,886 - pyskl - INFO - Epoch [125][800/1281] lr: 1.724e-03, eta: 3:41:27, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1601, loss: 1.1601 2023-12-24 02:43:05,623 - pyskl - INFO - Epoch [125][900/1281] lr: 1.714e-03, eta: 3:40:47, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1393, loss: 1.1393 2023-12-24 02:43:47,306 - pyskl - INFO - Epoch [125][1000/1281] lr: 1.704e-03, eta: 3:40:06, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1351, loss: 1.1351 2023-12-24 02:44:29,273 - pyskl - INFO - Epoch [125][1100/1281] lr: 1.693e-03, eta: 3:39:25, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1108, loss: 1.1108 2023-12-24 02:45:11,961 - pyskl - INFO - Epoch [125][1200/1281] lr: 1.683e-03, eta: 3:38:45, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1296, loss: 1.1296 2023-12-24 02:45:47,067 - pyskl - INFO - Saving checkpoint at 125 epochs 2023-12-24 02:46:44,354 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:46:44,409 - pyskl - INFO - top1_acc 0.9225 top5_acc 0.9934 2023-12-24 02:46:44,409 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:46:44,416 - pyskl - INFO - mean_acc 0.8973 2023-12-24 02:46:44,418 - pyskl - INFO - Epoch(val) [125][533] top1_acc: 0.9225, top5_acc: 0.9934, mean_class_accuracy: 0.8973 2023-12-24 02:47:29,028 - pyskl - INFO - Epoch [126][100/1281] lr: 1.665e-03, eta: 3:37:25, time: 0.446, data_time: 0.172, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1169, loss: 1.1169 2023-12-24 02:48:10,774 - pyskl - INFO - Epoch [126][200/1281] lr: 1.654e-03, eta: 3:36:44, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1288, loss: 1.1288 2023-12-24 02:48:52,612 - pyskl - INFO - Epoch [126][300/1281] lr: 1.644e-03, eta: 3:36:04, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1195, loss: 1.1195 2023-12-24 02:49:34,369 - pyskl - INFO - Epoch [126][400/1281] lr: 1.634e-03, eta: 3:35:23, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1052, loss: 1.1052 2023-12-24 02:50:16,200 - pyskl - INFO - Epoch [126][500/1281] lr: 1.624e-03, eta: 3:34:42, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1206, loss: 1.1206 2023-12-24 02:50:57,910 - pyskl - INFO - Epoch [126][600/1281] lr: 1.614e-03, eta: 3:34:02, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1050, loss: 1.1050 2023-12-24 02:51:39,597 - pyskl - INFO - Epoch [126][700/1281] lr: 1.604e-03, eta: 3:33:21, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1081, loss: 1.1081 2023-12-24 02:52:21,355 - pyskl - INFO - Epoch [126][800/1281] lr: 1.594e-03, eta: 3:32:40, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1197, loss: 1.1197 2023-12-24 02:53:03,215 - pyskl - INFO - Epoch [126][900/1281] lr: 1.584e-03, eta: 3:31:59, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1421, loss: 1.1421 2023-12-24 02:53:44,916 - pyskl - INFO - Epoch [126][1000/1281] lr: 1.574e-03, eta: 3:31:19, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1210, loss: 1.1210 2023-12-24 02:54:26,543 - pyskl - INFO - Epoch [126][1100/1281] lr: 1.564e-03, eta: 3:30:38, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1392, loss: 1.1392 2023-12-24 02:55:08,314 - pyskl - INFO - Epoch [126][1200/1281] lr: 1.554e-03, eta: 3:29:57, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1232, loss: 1.1232 2023-12-24 02:55:42,652 - pyskl - INFO - Saving checkpoint at 126 epochs 2023-12-24 02:56:40,167 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:56:40,224 - pyskl - INFO - top1_acc 0.9216 top5_acc 0.9939 2023-12-24 02:56:40,224 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:56:40,231 - pyskl - INFO - mean_acc 0.8947 2023-12-24 02:56:40,233 - pyskl - INFO - Epoch(val) [126][533] top1_acc: 0.9216, top5_acc: 0.9939, mean_class_accuracy: 0.8947 2023-12-24 02:57:25,229 - pyskl - INFO - Epoch [127][100/1281] lr: 1.536e-03, eta: 3:28:38, time: 0.450, data_time: 0.171, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1205, loss: 1.1205 2023-12-24 02:58:07,878 - pyskl - INFO - Epoch [127][200/1281] lr: 1.527e-03, eta: 3:27:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1264, loss: 1.1264 2023-12-24 02:58:50,377 - pyskl - INFO - Epoch [127][300/1281] lr: 1.517e-03, eta: 3:27:17, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1468, loss: 1.1468 2023-12-24 02:59:32,869 - pyskl - INFO - Epoch [127][400/1281] lr: 1.507e-03, eta: 3:26:36, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1033, loss: 1.1033 2023-12-24 03:00:14,623 - pyskl - INFO - Epoch [127][500/1281] lr: 1.497e-03, eta: 3:25:56, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1068, loss: 1.1068 2023-12-24 03:00:56,329 - pyskl - INFO - Epoch [127][600/1281] lr: 1.488e-03, eta: 3:25:15, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1124, loss: 1.1124 2023-12-24 03:01:38,053 - pyskl - INFO - Epoch [127][700/1281] lr: 1.478e-03, eta: 3:24:34, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1268, loss: 1.1268 2023-12-24 03:02:19,793 - pyskl - INFO - Epoch [127][800/1281] lr: 1.468e-03, eta: 3:23:53, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1058, loss: 1.1058 2023-12-24 03:03:01,549 - pyskl - INFO - Epoch [127][900/1281] lr: 1.459e-03, eta: 3:23:13, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1031, loss: 1.1031 2023-12-24 03:03:43,204 - pyskl - INFO - Epoch [127][1000/1281] lr: 1.449e-03, eta: 3:22:32, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1172, loss: 1.1172 2023-12-24 03:04:24,889 - pyskl - INFO - Epoch [127][1100/1281] lr: 1.440e-03, eta: 3:21:51, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1354, loss: 1.1354 2023-12-24 03:05:06,583 - pyskl - INFO - Epoch [127][1200/1281] lr: 1.430e-03, eta: 3:21:11, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1219, loss: 1.1219 2023-12-24 03:05:40,900 - pyskl - INFO - Saving checkpoint at 127 epochs 2023-12-24 03:06:37,455 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:06:37,528 - pyskl - INFO - top1_acc 0.9210 top5_acc 0.9940 2023-12-24 03:06:37,529 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:06:37,538 - pyskl - INFO - mean_acc 0.8976 2023-12-24 03:06:37,541 - pyskl - INFO - Epoch(val) [127][533] top1_acc: 0.9210, top5_acc: 0.9940, mean_class_accuracy: 0.8976 2023-12-24 03:07:21,343 - pyskl - INFO - Epoch [128][100/1281] lr: 1.413e-03, eta: 3:19:51, time: 0.438, data_time: 0.172, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1054, loss: 1.1054 2023-12-24 03:08:03,066 - pyskl - INFO - Epoch [128][200/1281] lr: 1.404e-03, eta: 3:19:11, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1213, loss: 1.1213 2023-12-24 03:08:44,716 - pyskl - INFO - Epoch [128][300/1281] lr: 1.394e-03, eta: 3:18:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1051, loss: 1.1051 2023-12-24 03:09:26,387 - pyskl - INFO - Epoch [128][400/1281] lr: 1.385e-03, eta: 3:17:49, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1217, loss: 1.1217 2023-12-24 03:10:08,030 - pyskl - INFO - Epoch [128][500/1281] lr: 1.376e-03, eta: 3:17:09, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1177, loss: 1.1177 2023-12-24 03:10:49,680 - pyskl - INFO - Epoch [128][600/1281] lr: 1.366e-03, eta: 3:16:28, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1104, loss: 1.1104 2023-12-24 03:11:31,363 - pyskl - INFO - Epoch [128][700/1281] lr: 1.357e-03, eta: 3:15:47, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1222, loss: 1.1222 2023-12-24 03:12:13,072 - pyskl - INFO - Epoch [128][800/1281] lr: 1.348e-03, eta: 3:15:06, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0939, loss: 1.0939 2023-12-24 03:12:54,732 - pyskl - INFO - Epoch [128][900/1281] lr: 1.339e-03, eta: 3:14:26, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0953, loss: 1.0953 2023-12-24 03:13:36,316 - pyskl - INFO - Epoch [128][1000/1281] lr: 1.329e-03, eta: 3:13:45, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1193, loss: 1.1193 2023-12-24 03:14:17,979 - pyskl - INFO - Epoch [128][1100/1281] lr: 1.320e-03, eta: 3:13:04, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1053, loss: 1.1053 2023-12-24 03:14:59,680 - pyskl - INFO - Epoch [128][1200/1281] lr: 1.311e-03, eta: 3:12:24, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1162, loss: 1.1162 2023-12-24 03:15:34,105 - pyskl - INFO - Saving checkpoint at 128 epochs 2023-12-24 03:16:30,627 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:16:30,682 - pyskl - INFO - top1_acc 0.9254 top5_acc 0.9944 2023-12-24 03:16:30,682 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:16:30,689 - pyskl - INFO - mean_acc 0.9043 2023-12-24 03:16:30,693 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_123.pth was removed 2023-12-24 03:16:30,893 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. 2023-12-24 03:16:30,893 - pyskl - INFO - Best top1_acc is 0.9254 at 128 epoch. 2023-12-24 03:16:30,896 - pyskl - INFO - Epoch(val) [128][533] top1_acc: 0.9254, top5_acc: 0.9944, mean_class_accuracy: 0.9043 2023-12-24 03:17:15,522 - pyskl - INFO - Epoch [129][100/1281] lr: 1.295e-03, eta: 3:11:05, time: 0.446, data_time: 0.178, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1062, loss: 1.1062 2023-12-24 03:17:58,152 - pyskl - INFO - Epoch [129][200/1281] lr: 1.286e-03, eta: 3:10:24, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0968, loss: 1.0968 2023-12-24 03:18:40,544 - pyskl - INFO - Epoch [129][300/1281] lr: 1.277e-03, eta: 3:09:44, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1186, loss: 1.1186 2023-12-24 03:19:22,240 - pyskl - INFO - Epoch [129][400/1281] lr: 1.268e-03, eta: 3:09:03, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1020, loss: 1.1020 2023-12-24 03:20:03,981 - pyskl - INFO - Epoch [129][500/1281] lr: 1.259e-03, eta: 3:08:22, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1351, loss: 1.1351 2023-12-24 03:20:45,594 - pyskl - INFO - Epoch [129][600/1281] lr: 1.250e-03, eta: 3:07:42, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0877, loss: 1.0877 2023-12-24 03:21:27,488 - pyskl - INFO - Epoch [129][700/1281] lr: 1.241e-03, eta: 3:07:01, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0927, loss: 1.0927 2023-12-24 03:22:09,293 - pyskl - INFO - Epoch [129][800/1281] lr: 1.232e-03, eta: 3:06:20, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1080, loss: 1.1080 2023-12-24 03:22:51,081 - pyskl - INFO - Epoch [129][900/1281] lr: 1.223e-03, eta: 3:05:40, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1193, loss: 1.1193 2023-12-24 03:23:32,854 - pyskl - INFO - Epoch [129][1000/1281] lr: 1.214e-03, eta: 3:04:59, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1128, loss: 1.1128 2023-12-24 03:24:14,446 - pyskl - INFO - Epoch [129][1100/1281] lr: 1.206e-03, eta: 3:04:18, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1106, loss: 1.1106 2023-12-24 03:24:56,102 - pyskl - INFO - Epoch [129][1200/1281] lr: 1.197e-03, eta: 3:03:37, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1051, loss: 1.1051 2023-12-24 03:25:30,419 - pyskl - INFO - Saving checkpoint at 129 epochs 2023-12-24 03:26:26,239 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:26:26,295 - pyskl - INFO - top1_acc 0.9245 top5_acc 0.9935 2023-12-24 03:26:26,295 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:26:26,301 - pyskl - INFO - mean_acc 0.9025 2023-12-24 03:26:26,303 - pyskl - INFO - Epoch(val) [129][533] top1_acc: 0.9245, top5_acc: 0.9935, mean_class_accuracy: 0.9025 2023-12-24 03:27:09,510 - pyskl - INFO - Epoch [130][100/1281] lr: 1.181e-03, eta: 3:02:19, time: 0.432, data_time: 0.171, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0930, loss: 1.0930 2023-12-24 03:27:51,250 - pyskl - INFO - Epoch [130][200/1281] lr: 1.172e-03, eta: 3:01:38, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1068, loss: 1.1068 2023-12-24 03:28:33,036 - pyskl - INFO - Epoch [130][300/1281] lr: 1.164e-03, eta: 3:00:57, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0861, loss: 1.0861 2023-12-24 03:29:14,731 - pyskl - INFO - Epoch [130][400/1281] lr: 1.155e-03, eta: 3:00:17, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1181, loss: 1.1181 2023-12-24 03:29:56,496 - pyskl - INFO - Epoch [130][500/1281] lr: 1.147e-03, eta: 2:59:36, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1021, loss: 1.1021 2023-12-24 03:30:38,245 - pyskl - INFO - Epoch [130][600/1281] lr: 1.138e-03, eta: 2:58:55, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1216, loss: 1.1216 2023-12-24 03:31:20,202 - pyskl - INFO - Epoch [130][700/1281] lr: 1.130e-03, eta: 2:58:15, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1504, loss: 1.1504 2023-12-24 03:32:01,861 - pyskl - INFO - Epoch [130][800/1281] lr: 1.121e-03, eta: 2:57:34, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0925, loss: 1.0925 2023-12-24 03:32:43,540 - pyskl - INFO - Epoch [130][900/1281] lr: 1.113e-03, eta: 2:56:53, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1156, loss: 1.1156 2023-12-24 03:33:25,242 - pyskl - INFO - Epoch [130][1000/1281] lr: 1.104e-03, eta: 2:56:13, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1118, loss: 1.1118 2023-12-24 03:34:06,943 - pyskl - INFO - Epoch [130][1100/1281] lr: 1.096e-03, eta: 2:55:32, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1188, loss: 1.1188 2023-12-24 03:34:48,528 - pyskl - INFO - Epoch [130][1200/1281] lr: 1.088e-03, eta: 2:54:51, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0969, loss: 1.0969 2023-12-24 03:35:22,832 - pyskl - INFO - Saving checkpoint at 130 epochs 2023-12-24 03:36:18,661 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:36:18,715 - pyskl - INFO - top1_acc 0.9245 top5_acc 0.9932 2023-12-24 03:36:18,715 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:36:18,722 - pyskl - INFO - mean_acc 0.9015 2023-12-24 03:36:18,724 - pyskl - INFO - Epoch(val) [130][533] top1_acc: 0.9245, top5_acc: 0.9932, mean_class_accuracy: 0.9015 2023-12-24 03:37:01,726 - pyskl - INFO - Epoch [131][100/1281] lr: 1.072e-03, eta: 2:53:33, time: 0.430, data_time: 0.170, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1109, loss: 1.1109 2023-12-24 03:37:44,320 - pyskl - INFO - Epoch [131][200/1281] lr: 1.064e-03, eta: 2:52:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1001, loss: 1.1001 2023-12-24 03:38:26,936 - pyskl - INFO - Epoch [131][300/1281] lr: 1.056e-03, eta: 2:52:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0989, loss: 1.0989 2023-12-24 03:39:09,501 - pyskl - INFO - Epoch [131][400/1281] lr: 1.048e-03, eta: 2:51:31, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1124, loss: 1.1124 2023-12-24 03:39:51,720 - pyskl - INFO - Epoch [131][500/1281] lr: 1.040e-03, eta: 2:50:50, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1078, loss: 1.1078 2023-12-24 03:40:33,314 - pyskl - INFO - Epoch [131][600/1281] lr: 1.031e-03, eta: 2:50:10, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1110, loss: 1.1110 2023-12-24 03:41:15,115 - pyskl - INFO - Epoch [131][700/1281] lr: 1.023e-03, eta: 2:49:29, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1104, loss: 1.1104 2023-12-24 03:41:56,922 - pyskl - INFO - Epoch [131][800/1281] lr: 1.015e-03, eta: 2:48:48, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1023, loss: 1.1023 2023-12-24 03:42:38,663 - pyskl - INFO - Epoch [131][900/1281] lr: 1.007e-03, eta: 2:48:08, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0979, loss: 1.0979 2023-12-24 03:43:20,505 - pyskl - INFO - Epoch [131][1000/1281] lr: 9.992e-04, eta: 2:47:27, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1134, loss: 1.1134 2023-12-24 03:44:02,333 - pyskl - INFO - Epoch [131][1100/1281] lr: 9.912e-04, eta: 2:46:46, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0974, loss: 1.0974 2023-12-24 03:44:43,989 - pyskl - INFO - Epoch [131][1200/1281] lr: 9.832e-04, eta: 2:46:06, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1062, loss: 1.1062 2023-12-24 03:45:18,276 - pyskl - INFO - Saving checkpoint at 131 epochs 2023-12-24 03:46:13,377 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:46:13,433 - pyskl - INFO - top1_acc 0.9265 top5_acc 0.9933 2023-12-24 03:46:13,433 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:46:13,440 - pyskl - INFO - mean_acc 0.9054 2023-12-24 03:46:13,444 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_128.pth was removed 2023-12-24 03:46:13,616 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. 2023-12-24 03:46:13,616 - pyskl - INFO - Best top1_acc is 0.9265 at 131 epoch. 2023-12-24 03:46:13,619 - pyskl - INFO - Epoch(val) [131][533] top1_acc: 0.9265, top5_acc: 0.9933, mean_class_accuracy: 0.9054 2023-12-24 03:46:58,853 - pyskl - INFO - Epoch [132][100/1281] lr: 9.689e-04, eta: 2:44:48, time: 0.452, data_time: 0.175, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1038, loss: 1.1038 2023-12-24 03:47:41,517 - pyskl - INFO - Epoch [132][200/1281] lr: 9.610e-04, eta: 2:44:07, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0911, loss: 1.0911 2023-12-24 03:48:24,112 - pyskl - INFO - Epoch [132][300/1281] lr: 9.532e-04, eta: 2:43:27, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1043, loss: 1.1043 2023-12-24 03:49:06,547 - pyskl - INFO - Epoch [132][400/1281] lr: 9.454e-04, eta: 2:42:46, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0956, loss: 1.0956 2023-12-24 03:49:49,134 - pyskl - INFO - Epoch [132][500/1281] lr: 9.376e-04, eta: 2:42:05, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1021, loss: 1.1021 2023-12-24 03:50:31,747 - pyskl - INFO - Epoch [132][600/1281] lr: 9.298e-04, eta: 2:41:25, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1032, loss: 1.1032 2023-12-24 03:51:14,335 - pyskl - INFO - Epoch [132][700/1281] lr: 9.221e-04, eta: 2:40:44, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1163, loss: 1.1163 2023-12-24 03:51:56,181 - pyskl - INFO - Epoch [132][800/1281] lr: 9.144e-04, eta: 2:40:04, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0820, loss: 1.0820 2023-12-24 03:52:37,782 - pyskl - INFO - Epoch [132][900/1281] lr: 9.068e-04, eta: 2:39:23, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0865, loss: 1.0865 2023-12-24 03:53:19,623 - pyskl - INFO - Epoch [132][1000/1281] lr: 8.991e-04, eta: 2:38:42, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1126, loss: 1.1126 2023-12-24 03:54:01,351 - pyskl - INFO - Epoch [132][1100/1281] lr: 8.915e-04, eta: 2:38:02, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0928, loss: 1.0928 2023-12-24 03:54:43,092 - pyskl - INFO - Epoch [132][1200/1281] lr: 8.840e-04, eta: 2:37:21, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1073, loss: 1.1073 2023-12-24 03:55:17,562 - pyskl - INFO - Saving checkpoint at 132 epochs 2023-12-24 03:56:14,324 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:56:14,384 - pyskl - INFO - top1_acc 0.9254 top5_acc 0.9942 2023-12-24 03:56:14,384 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:56:14,392 - pyskl - INFO - mean_acc 0.9036 2023-12-24 03:56:14,396 - pyskl - INFO - Epoch(val) [132][533] top1_acc: 0.9254, top5_acc: 0.9942, mean_class_accuracy: 0.9036 2023-12-24 03:56:59,171 - pyskl - INFO - Epoch [133][100/1281] lr: 8.704e-04, eta: 2:36:03, time: 0.448, data_time: 0.172, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1065, loss: 1.1065 2023-12-24 03:57:40,942 - pyskl - INFO - Epoch [133][200/1281] lr: 8.629e-04, eta: 2:35:23, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1148, loss: 1.1148 2023-12-24 03:58:23,062 - pyskl - INFO - Epoch [133][300/1281] lr: 8.554e-04, eta: 2:34:42, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0917, loss: 1.0917 2023-12-24 03:59:05,651 - pyskl - INFO - Epoch [133][400/1281] lr: 8.480e-04, eta: 2:34:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0860, loss: 1.0860 2023-12-24 03:59:48,295 - pyskl - INFO - Epoch [133][500/1281] lr: 8.406e-04, eta: 2:33:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0973, loss: 1.0973 2023-12-24 04:00:30,436 - pyskl - INFO - Epoch [133][600/1281] lr: 8.333e-04, eta: 2:32:40, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1017, loss: 1.1017 2023-12-24 04:01:12,065 - pyskl - INFO - Epoch [133][700/1281] lr: 8.260e-04, eta: 2:32:00, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1005, loss: 1.1005 2023-12-24 04:01:53,777 - pyskl - INFO - Epoch [133][800/1281] lr: 8.187e-04, eta: 2:31:19, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1058, loss: 1.1058 2023-12-24 04:02:35,462 - pyskl - INFO - Epoch [133][900/1281] lr: 8.114e-04, eta: 2:30:38, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0913, loss: 1.0913 2023-12-24 04:03:17,192 - pyskl - INFO - Epoch [133][1000/1281] lr: 8.042e-04, eta: 2:29:58, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1108, loss: 1.1108 2023-12-24 04:03:58,965 - pyskl - INFO - Epoch [133][1100/1281] lr: 7.970e-04, eta: 2:29:17, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1038, loss: 1.1038 2023-12-24 04:04:40,656 - pyskl - INFO - Epoch [133][1200/1281] lr: 7.898e-04, eta: 2:28:36, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1012, loss: 1.1012 2023-12-24 04:05:15,011 - pyskl - INFO - Saving checkpoint at 133 epochs 2023-12-24 04:06:12,447 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:06:12,511 - pyskl - INFO - top1_acc 0.9279 top5_acc 0.9942 2023-12-24 04:06:12,512 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:06:12,519 - pyskl - INFO - mean_acc 0.9042 2023-12-24 04:06:12,524 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_131.pth was removed 2023-12-24 04:06:12,819 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. 2023-12-24 04:06:12,819 - pyskl - INFO - Best top1_acc is 0.9279 at 133 epoch. 2023-12-24 04:06:12,822 - pyskl - INFO - Epoch(val) [133][533] top1_acc: 0.9279, top5_acc: 0.9942, mean_class_accuracy: 0.9042 2023-12-24 04:06:58,892 - pyskl - INFO - Epoch [134][100/1281] lr: 7.769e-04, eta: 2:27:19, time: 0.461, data_time: 0.176, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0918, loss: 1.0918 2023-12-24 04:07:41,528 - pyskl - INFO - Epoch [134][200/1281] lr: 7.699e-04, eta: 2:26:38, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0999, loss: 1.0999 2023-12-24 04:08:24,216 - pyskl - INFO - Epoch [134][300/1281] lr: 7.628e-04, eta: 2:25:58, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1005, loss: 1.1005 2023-12-24 04:09:06,837 - pyskl - INFO - Epoch [134][400/1281] lr: 7.558e-04, eta: 2:25:17, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1000, loss: 1.1000 2023-12-24 04:09:49,501 - pyskl - INFO - Epoch [134][500/1281] lr: 7.488e-04, eta: 2:24:37, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1129, loss: 1.1129 2023-12-24 04:10:32,049 - pyskl - INFO - Epoch [134][600/1281] lr: 7.419e-04, eta: 2:23:56, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1093, loss: 1.1093 2023-12-24 04:11:13,937 - pyskl - INFO - Epoch [134][700/1281] lr: 7.349e-04, eta: 2:23:15, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1059, loss: 1.1059 2023-12-24 04:11:55,570 - pyskl - INFO - Epoch [134][800/1281] lr: 7.281e-04, eta: 2:22:35, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0990, loss: 1.0990 2023-12-24 04:12:37,205 - pyskl - INFO - Epoch [134][900/1281] lr: 7.212e-04, eta: 2:21:54, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1124, loss: 1.1124 2023-12-24 04:13:18,907 - pyskl - INFO - Epoch [134][1000/1281] lr: 7.144e-04, eta: 2:21:13, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0917, loss: 1.0917 2023-12-24 04:14:00,720 - pyskl - INFO - Epoch [134][1100/1281] lr: 7.076e-04, eta: 2:20:33, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1081, loss: 1.1081 2023-12-24 04:14:42,565 - pyskl - INFO - Epoch [134][1200/1281] lr: 7.008e-04, eta: 2:19:52, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1055, loss: 1.1055 2023-12-24 04:15:16,823 - pyskl - INFO - Saving checkpoint at 134 epochs 2023-12-24 04:16:14,488 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:16:14,543 - pyskl - INFO - top1_acc 0.9285 top5_acc 0.9938 2023-12-24 04:16:14,543 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:16:14,550 - pyskl - INFO - mean_acc 0.9067 2023-12-24 04:16:14,555 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_133.pth was removed 2023-12-24 04:16:14,731 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. 2023-12-24 04:16:14,731 - pyskl - INFO - Best top1_acc is 0.9285 at 134 epoch. 2023-12-24 04:16:14,734 - pyskl - INFO - Epoch(val) [134][533] top1_acc: 0.9285, top5_acc: 0.9938, mean_class_accuracy: 0.9067 2023-12-24 04:16:59,804 - pyskl - INFO - Epoch [135][100/1281] lr: 6.887e-04, eta: 2:18:35, time: 0.451, data_time: 0.170, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1122, loss: 1.1122 2023-12-24 04:17:42,455 - pyskl - INFO - Epoch [135][200/1281] lr: 6.820e-04, eta: 2:17:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1226, loss: 1.1226 2023-12-24 04:18:24,539 - pyskl - INFO - Epoch [135][300/1281] lr: 6.753e-04, eta: 2:17:14, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1121, loss: 1.1121 2023-12-24 04:19:06,279 - pyskl - INFO - Epoch [135][400/1281] lr: 6.687e-04, eta: 2:16:33, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1030, loss: 1.1030 2023-12-24 04:19:48,009 - pyskl - INFO - Epoch [135][500/1281] lr: 6.622e-04, eta: 2:15:52, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1064, loss: 1.1064 2023-12-24 04:20:29,735 - pyskl - INFO - Epoch [135][600/1281] lr: 6.556e-04, eta: 2:15:12, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1187, loss: 1.1187 2023-12-24 04:21:11,446 - pyskl - INFO - Epoch [135][700/1281] lr: 6.491e-04, eta: 2:14:31, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0972, loss: 1.0972 2023-12-24 04:21:53,236 - pyskl - INFO - Epoch [135][800/1281] lr: 6.426e-04, eta: 2:13:50, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1041, loss: 1.1041 2023-12-24 04:22:35,087 - pyskl - INFO - Epoch [135][900/1281] lr: 6.362e-04, eta: 2:13:10, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0991, loss: 1.0991 2023-12-24 04:23:16,783 - pyskl - INFO - Epoch [135][1000/1281] lr: 6.297e-04, eta: 2:12:29, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1046, loss: 1.1046 2023-12-24 04:23:58,664 - pyskl - INFO - Epoch [135][1100/1281] lr: 6.233e-04, eta: 2:11:48, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0954, loss: 1.0954 2023-12-24 04:24:40,521 - pyskl - INFO - Epoch [135][1200/1281] lr: 6.170e-04, eta: 2:11:08, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0958, loss: 1.0958 2023-12-24 04:25:14,833 - pyskl - INFO - Saving checkpoint at 135 epochs 2023-12-24 04:26:12,291 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:26:12,349 - pyskl - INFO - top1_acc 0.9288 top5_acc 0.9942 2023-12-24 04:26:12,349 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:26:12,355 - pyskl - INFO - mean_acc 0.9066 2023-12-24 04:26:12,359 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_134.pth was removed 2023-12-24 04:26:12,559 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. 2023-12-24 04:26:12,560 - pyskl - INFO - Best top1_acc is 0.9288 at 135 epoch. 2023-12-24 04:26:12,564 - pyskl - INFO - Epoch(val) [135][533] top1_acc: 0.9288, top5_acc: 0.9942, mean_class_accuracy: 0.9066 2023-12-24 04:26:57,455 - pyskl - INFO - Epoch [136][100/1281] lr: 6.056e-04, eta: 2:09:51, time: 0.449, data_time: 0.167, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1381, loss: 1.1381 2023-12-24 04:27:40,007 - pyskl - INFO - Epoch [136][200/1281] lr: 5.993e-04, eta: 2:09:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1049, loss: 1.1049 2023-12-24 04:28:22,556 - pyskl - INFO - Epoch [136][300/1281] lr: 5.931e-04, eta: 2:08:30, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0952, loss: 1.0952 2023-12-24 04:29:05,093 - pyskl - INFO - Epoch [136][400/1281] lr: 5.868e-04, eta: 2:07:49, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0911, loss: 1.0911 2023-12-24 04:29:47,721 - pyskl - INFO - Epoch [136][500/1281] lr: 5.807e-04, eta: 2:07:08, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0829, loss: 1.0829 2023-12-24 04:30:30,287 - pyskl - INFO - Epoch [136][600/1281] lr: 5.745e-04, eta: 2:06:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1132, loss: 1.1132 2023-12-24 04:31:12,342 - pyskl - INFO - Epoch [136][700/1281] lr: 5.684e-04, eta: 2:05:47, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0879, loss: 1.0879 2023-12-24 04:31:54,096 - pyskl - INFO - Epoch [136][800/1281] lr: 5.623e-04, eta: 2:05:07, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1021, loss: 1.1021 2023-12-24 04:32:35,891 - pyskl - INFO - Epoch [136][900/1281] lr: 5.563e-04, eta: 2:04:26, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0916, loss: 1.0916 2023-12-24 04:33:17,588 - pyskl - INFO - Epoch [136][1000/1281] lr: 5.503e-04, eta: 2:03:45, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0994, loss: 1.0994 2023-12-24 04:33:59,448 - pyskl - INFO - Epoch [136][1100/1281] lr: 5.443e-04, eta: 2:03:05, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1006, loss: 1.1006 2023-12-24 04:34:41,194 - pyskl - INFO - Epoch [136][1200/1281] lr: 5.384e-04, eta: 2:02:24, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0871, loss: 1.0871 2023-12-24 04:35:15,550 - pyskl - INFO - Saving checkpoint at 136 epochs 2023-12-24 04:36:13,107 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:36:13,170 - pyskl - INFO - top1_acc 0.9274 top5_acc 0.9945 2023-12-24 04:36:13,170 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:36:13,180 - pyskl - INFO - mean_acc 0.9031 2023-12-24 04:36:13,184 - pyskl - INFO - Epoch(val) [136][533] top1_acc: 0.9274, top5_acc: 0.9945, mean_class_accuracy: 0.9031 2023-12-24 04:36:57,271 - pyskl - INFO - Epoch [137][100/1281] lr: 5.277e-04, eta: 2:01:07, time: 0.441, data_time: 0.168, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0923, loss: 1.0923 2023-12-24 04:37:39,912 - pyskl - INFO - Epoch [137][200/1281] lr: 5.218e-04, eta: 2:00:27, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1038, loss: 1.1038 2023-12-24 04:38:22,516 - pyskl - INFO - Epoch [137][300/1281] lr: 5.160e-04, eta: 1:59:46, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0850, loss: 1.0850 2023-12-24 04:39:05,119 - pyskl - INFO - Epoch [137][400/1281] lr: 5.102e-04, eta: 1:59:05, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1086, loss: 1.1086 2023-12-24 04:39:47,685 - pyskl - INFO - Epoch [137][500/1281] lr: 5.044e-04, eta: 1:58:25, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1022, loss: 1.1022 2023-12-24 04:40:30,373 - pyskl - INFO - Epoch [137][600/1281] lr: 4.987e-04, eta: 1:57:44, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1019, loss: 1.1019 2023-12-24 04:41:12,979 - pyskl - INFO - Epoch [137][700/1281] lr: 4.930e-04, eta: 1:57:04, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0902, loss: 1.0902 2023-12-24 04:41:55,574 - pyskl - INFO - Epoch [137][800/1281] lr: 4.873e-04, eta: 1:56:23, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1008, loss: 1.1008 2023-12-24 04:42:38,136 - pyskl - INFO - Epoch [137][900/1281] lr: 4.817e-04, eta: 1:55:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1068, loss: 1.1068 2023-12-24 04:43:20,065 - pyskl - INFO - Epoch [137][1000/1281] lr: 4.761e-04, eta: 1:55:02, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0992, loss: 1.0992 2023-12-24 04:44:01,803 - pyskl - INFO - Epoch [137][1100/1281] lr: 4.705e-04, eta: 1:54:21, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1081, loss: 1.1081 2023-12-24 04:44:43,561 - pyskl - INFO - Epoch [137][1200/1281] lr: 4.650e-04, eta: 1:53:41, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0871, loss: 1.0871 2023-12-24 04:45:17,927 - pyskl - INFO - Saving checkpoint at 137 epochs 2023-12-24 04:46:13,934 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:46:13,994 - pyskl - INFO - top1_acc 0.9267 top5_acc 0.9941 2023-12-24 04:46:13,994 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:46:14,007 - pyskl - INFO - mean_acc 0.9036 2023-12-24 04:46:14,011 - pyskl - INFO - Epoch(val) [137][533] top1_acc: 0.9267, top5_acc: 0.9941, mean_class_accuracy: 0.9036 2023-12-24 04:46:57,306 - pyskl - INFO - Epoch [138][100/1281] lr: 4.550e-04, eta: 1:52:24, time: 0.433, data_time: 0.170, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1041, loss: 1.1041 2023-12-24 04:47:39,142 - pyskl - INFO - Epoch [138][200/1281] lr: 4.496e-04, eta: 1:51:43, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0768, loss: 1.0768 2023-12-24 04:48:20,906 - pyskl - INFO - Epoch [138][300/1281] lr: 4.442e-04, eta: 1:51:03, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1017, loss: 1.1017 2023-12-24 04:49:02,690 - pyskl - INFO - Epoch [138][400/1281] lr: 4.388e-04, eta: 1:50:22, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1050, loss: 1.1050 2023-12-24 04:49:44,449 - pyskl - INFO - Epoch [138][500/1281] lr: 4.334e-04, eta: 1:49:41, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0863, loss: 1.0863 2023-12-24 04:50:26,281 - pyskl - INFO - Epoch [138][600/1281] lr: 4.281e-04, eta: 1:49:01, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0909, loss: 1.0909 2023-12-24 04:51:08,076 - pyskl - INFO - Epoch [138][700/1281] lr: 4.228e-04, eta: 1:48:20, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0928, loss: 1.0928 2023-12-24 04:51:49,878 - pyskl - INFO - Epoch [138][800/1281] lr: 4.176e-04, eta: 1:47:39, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1241, loss: 1.1241 2023-12-24 04:52:31,658 - pyskl - INFO - Epoch [138][900/1281] lr: 4.124e-04, eta: 1:46:59, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0867, loss: 1.0867 2023-12-24 04:53:13,249 - pyskl - INFO - Epoch [138][1000/1281] lr: 4.072e-04, eta: 1:46:18, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1048, loss: 1.1048 2023-12-24 04:53:54,960 - pyskl - INFO - Epoch [138][1100/1281] lr: 4.020e-04, eta: 1:45:37, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1011, loss: 1.1011 2023-12-24 04:54:36,651 - pyskl - INFO - Epoch [138][1200/1281] lr: 3.969e-04, eta: 1:44:57, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1163, loss: 1.1163 2023-12-24 04:55:11,022 - pyskl - INFO - Saving checkpoint at 138 epochs 2023-12-24 04:56:06,450 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:56:06,505 - pyskl - INFO - top1_acc 0.9272 top5_acc 0.9940 2023-12-24 04:56:06,505 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:56:06,512 - pyskl - INFO - mean_acc 0.9064 2023-12-24 04:56:06,514 - pyskl - INFO - Epoch(val) [138][533] top1_acc: 0.9272, top5_acc: 0.9940, mean_class_accuracy: 0.9064 2023-12-24 04:56:49,543 - pyskl - INFO - Epoch [139][100/1281] lr: 3.877e-04, eta: 1:43:40, time: 0.430, data_time: 0.171, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0844, loss: 1.0844 2023-12-24 04:57:31,237 - pyskl - INFO - Epoch [139][200/1281] lr: 3.827e-04, eta: 1:43:00, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1104, loss: 1.1104 2023-12-24 04:58:13,010 - pyskl - INFO - Epoch [139][300/1281] lr: 3.777e-04, eta: 1:42:19, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0811, loss: 1.0811 2023-12-24 04:58:54,704 - pyskl - INFO - Epoch [139][400/1281] lr: 3.727e-04, eta: 1:41:38, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1125, loss: 1.1125 2023-12-24 04:59:36,316 - pyskl - INFO - Epoch [139][500/1281] lr: 3.678e-04, eta: 1:40:58, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1007, loss: 1.1007 2023-12-24 05:00:18,712 - pyskl - INFO - Epoch [139][600/1281] lr: 3.628e-04, eta: 1:40:17, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1003, loss: 1.1003 2023-12-24 05:01:01,355 - pyskl - INFO - Epoch [139][700/1281] lr: 3.580e-04, eta: 1:39:37, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0979, loss: 1.0979 2023-12-24 05:01:43,950 - pyskl - INFO - Epoch [139][800/1281] lr: 3.531e-04, eta: 1:38:56, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0878, loss: 1.0878 2023-12-24 05:02:26,643 - pyskl - INFO - Epoch [139][900/1281] lr: 3.483e-04, eta: 1:38:15, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0895, loss: 1.0895 2023-12-24 05:03:09,263 - pyskl - INFO - Epoch [139][1000/1281] lr: 3.436e-04, eta: 1:37:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0809, loss: 1.0809 2023-12-24 05:03:51,604 - pyskl - INFO - Epoch [139][1100/1281] lr: 3.388e-04, eta: 1:36:54, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0853, loss: 1.0853 2023-12-24 05:04:33,304 - pyskl - INFO - Epoch [139][1200/1281] lr: 3.341e-04, eta: 1:36:14, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0871, loss: 1.0871 2023-12-24 05:05:07,849 - pyskl - INFO - Saving checkpoint at 139 epochs 2023-12-24 05:06:01,642 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:06:01,702 - pyskl - INFO - top1_acc 0.9298 top5_acc 0.9946 2023-12-24 05:06:01,702 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:06:01,710 - pyskl - INFO - mean_acc 0.9079 2023-12-24 05:06:01,714 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_135.pth was removed 2023-12-24 05:06:01,903 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. 2023-12-24 05:06:01,904 - pyskl - INFO - Best top1_acc is 0.9298 at 139 epoch. 2023-12-24 05:06:01,906 - pyskl - INFO - Epoch(val) [139][533] top1_acc: 0.9298, top5_acc: 0.9946, mean_class_accuracy: 0.9079 2023-12-24 05:06:44,535 - pyskl - INFO - Epoch [140][100/1281] lr: 3.257e-04, eta: 1:34:57, time: 0.426, data_time: 0.173, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0934, loss: 1.0934 2023-12-24 05:07:26,178 - pyskl - INFO - Epoch [140][200/1281] lr: 3.210e-04, eta: 1:34:17, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0977, loss: 1.0977 2023-12-24 05:08:07,874 - pyskl - INFO - Epoch [140][300/1281] lr: 3.165e-04, eta: 1:33:36, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1007, loss: 1.1007 2023-12-24 05:08:49,649 - pyskl - INFO - Epoch [140][400/1281] lr: 3.119e-04, eta: 1:32:55, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1077, loss: 1.1077 2023-12-24 05:09:31,327 - pyskl - INFO - Epoch [140][500/1281] lr: 3.074e-04, eta: 1:32:15, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0882, loss: 1.0882 2023-12-24 05:10:13,092 - pyskl - INFO - Epoch [140][600/1281] lr: 3.029e-04, eta: 1:31:34, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0937, loss: 1.0937 2023-12-24 05:10:54,892 - pyskl - INFO - Epoch [140][700/1281] lr: 2.984e-04, eta: 1:30:53, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1065, loss: 1.1065 2023-12-24 05:11:36,581 - pyskl - INFO - Epoch [140][800/1281] lr: 2.940e-04, eta: 1:30:13, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1110, loss: 1.1110 2023-12-24 05:12:18,317 - pyskl - INFO - Epoch [140][900/1281] lr: 2.896e-04, eta: 1:29:32, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0875, loss: 1.0875 2023-12-24 05:13:00,131 - pyskl - INFO - Epoch [140][1000/1281] lr: 2.853e-04, eta: 1:28:51, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0969, loss: 1.0969 2023-12-24 05:13:41,931 - pyskl - INFO - Epoch [140][1100/1281] lr: 2.809e-04, eta: 1:28:11, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0933, loss: 1.0933 2023-12-24 05:14:23,624 - pyskl - INFO - Epoch [140][1200/1281] lr: 2.767e-04, eta: 1:27:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0823, loss: 1.0823 2023-12-24 05:14:57,989 - pyskl - INFO - Saving checkpoint at 140 epochs 2023-12-24 05:15:51,684 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:15:51,742 - pyskl - INFO - top1_acc 0.9289 top5_acc 0.9950 2023-12-24 05:15:51,742 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:15:51,749 - pyskl - INFO - mean_acc 0.9064 2023-12-24 05:15:51,751 - pyskl - INFO - Epoch(val) [140][533] top1_acc: 0.9289, top5_acc: 0.9950, mean_class_accuracy: 0.9064 2023-12-24 05:16:33,280 - pyskl - INFO - Epoch [141][100/1281] lr: 2.690e-04, eta: 1:26:14, time: 0.415, data_time: 0.173, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1026, loss: 1.1026 2023-12-24 05:17:15,992 - pyskl - INFO - Epoch [141][200/1281] lr: 2.648e-04, eta: 1:25:34, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0991, loss: 1.0991 2023-12-24 05:17:58,292 - pyskl - INFO - Epoch [141][300/1281] lr: 2.606e-04, eta: 1:24:53, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0931, loss: 1.0931 2023-12-24 05:18:40,921 - pyskl - INFO - Epoch [141][400/1281] lr: 2.565e-04, eta: 1:24:12, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1025, loss: 1.1025 2023-12-24 05:19:23,554 - pyskl - INFO - Epoch [141][500/1281] lr: 2.524e-04, eta: 1:23:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1281, loss: 1.1281 2023-12-24 05:20:06,221 - pyskl - INFO - Epoch [141][600/1281] lr: 2.483e-04, eta: 1:22:51, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0975, loss: 1.0975 2023-12-24 05:20:48,822 - pyskl - INFO - Epoch [141][700/1281] lr: 2.443e-04, eta: 1:22:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1057, loss: 1.1057 2023-12-24 05:21:31,490 - pyskl - INFO - Epoch [141][800/1281] lr: 2.402e-04, eta: 1:21:30, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0996, loss: 1.0996 2023-12-24 05:22:14,114 - pyskl - INFO - Epoch [141][900/1281] lr: 2.363e-04, eta: 1:20:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0898, loss: 1.0898 2023-12-24 05:22:56,771 - pyskl - INFO - Epoch [141][1000/1281] lr: 2.323e-04, eta: 1:20:09, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0879, loss: 1.0879 2023-12-24 05:23:39,424 - pyskl - INFO - Epoch [141][1100/1281] lr: 2.284e-04, eta: 1:19:28, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1001, loss: 1.1001 2023-12-24 05:24:22,078 - pyskl - INFO - Epoch [141][1200/1281] lr: 2.246e-04, eta: 1:18:48, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0781, loss: 1.0781 2023-12-24 05:24:57,096 - pyskl - INFO - Saving checkpoint at 141 epochs 2023-12-24 05:25:51,284 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:25:51,340 - pyskl - INFO - top1_acc 0.9269 top5_acc 0.9939 2023-12-24 05:25:51,340 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:25:51,347 - pyskl - INFO - mean_acc 0.9039 2023-12-24 05:25:51,349 - pyskl - INFO - Epoch(val) [141][533] top1_acc: 0.9269, top5_acc: 0.9939, mean_class_accuracy: 0.9039 2023-12-24 05:26:32,387 - pyskl - INFO - Epoch [142][100/1281] lr: 2.176e-04, eta: 1:17:32, time: 0.410, data_time: 0.171, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0944, loss: 1.0944 2023-12-24 05:27:14,931 - pyskl - INFO - Epoch [142][200/1281] lr: 2.139e-04, eta: 1:16:51, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1033, loss: 1.1033 2023-12-24 05:27:57,591 - pyskl - INFO - Epoch [142][300/1281] lr: 2.101e-04, eta: 1:16:11, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0908, loss: 1.0908 2023-12-24 05:28:40,185 - pyskl - INFO - Epoch [142][400/1281] lr: 2.064e-04, eta: 1:15:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0828, loss: 1.0828 2023-12-24 05:29:21,787 - pyskl - INFO - Epoch [142][500/1281] lr: 2.027e-04, eta: 1:14:49, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1132, loss: 1.1132 2023-12-24 05:30:03,547 - pyskl - INFO - Epoch [142][600/1281] lr: 1.991e-04, eta: 1:14:09, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0874, loss: 1.0874 2023-12-24 05:30:45,317 - pyskl - INFO - Epoch [142][700/1281] lr: 1.954e-04, eta: 1:13:28, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0965, loss: 1.0965 2023-12-24 05:31:27,235 - pyskl - INFO - Epoch [142][800/1281] lr: 1.919e-04, eta: 1:12:48, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1165, loss: 1.1165 2023-12-24 05:32:08,987 - pyskl - INFO - Epoch [142][900/1281] lr: 1.883e-04, eta: 1:12:07, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0923, loss: 1.0923 2023-12-24 05:32:50,847 - pyskl - INFO - Epoch [142][1000/1281] lr: 1.848e-04, eta: 1:11:26, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0938, loss: 1.0938 2023-12-24 05:33:32,556 - pyskl - INFO - Epoch [142][1100/1281] lr: 1.813e-04, eta: 1:10:46, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0777, loss: 1.0777 2023-12-24 05:34:14,386 - pyskl - INFO - Epoch [142][1200/1281] lr: 1.779e-04, eta: 1:10:05, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1081, loss: 1.1081 2023-12-24 05:34:48,943 - pyskl - INFO - Saving checkpoint at 142 epochs 2023-12-24 05:35:42,902 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:35:42,975 - pyskl - INFO - top1_acc 0.9294 top5_acc 0.9946 2023-12-24 05:35:42,975 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:35:42,987 - pyskl - INFO - mean_acc 0.9061 2023-12-24 05:35:42,992 - pyskl - INFO - Epoch(val) [142][533] top1_acc: 0.9294, top5_acc: 0.9946, mean_class_accuracy: 0.9061 2023-12-24 05:36:26,690 - pyskl - INFO - Epoch [143][100/1281] lr: 1.717e-04, eta: 1:08:50, time: 0.437, data_time: 0.194, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0960, loss: 1.0960 2023-12-24 05:37:09,472 - pyskl - INFO - Epoch [143][200/1281] lr: 1.683e-04, eta: 1:08:09, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1123, loss: 1.1123 2023-12-24 05:37:52,775 - pyskl - INFO - Epoch [143][300/1281] lr: 1.650e-04, eta: 1:07:28, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1029, loss: 1.1029 2023-12-24 05:38:35,011 - pyskl - INFO - Epoch [143][400/1281] lr: 1.617e-04, eta: 1:06:48, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0955, loss: 1.0955 2023-12-24 05:39:16,882 - pyskl - INFO - Epoch [143][500/1281] lr: 1.585e-04, eta: 1:06:07, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0776, loss: 1.0776 2023-12-24 05:39:58,902 - pyskl - INFO - Epoch [143][600/1281] lr: 1.552e-04, eta: 1:05:27, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0939, loss: 1.0939 2023-12-24 05:40:41,194 - pyskl - INFO - Epoch [143][700/1281] lr: 1.520e-04, eta: 1:04:46, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0933, loss: 1.0933 2023-12-24 05:41:23,311 - pyskl - INFO - Epoch [143][800/1281] lr: 1.489e-04, eta: 1:04:05, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1051, loss: 1.1051 2023-12-24 05:42:05,440 - pyskl - INFO - Epoch [143][900/1281] lr: 1.457e-04, eta: 1:03:25, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0852, loss: 1.0852 2023-12-24 05:42:47,536 - pyskl - INFO - Epoch [143][1000/1281] lr: 1.426e-04, eta: 1:02:44, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0782, loss: 1.0782 2023-12-24 05:43:29,302 - pyskl - INFO - Epoch [143][1100/1281] lr: 1.396e-04, eta: 1:02:03, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0984, loss: 1.0984 2023-12-24 05:44:11,108 - pyskl - INFO - Epoch [143][1200/1281] lr: 1.366e-04, eta: 1:01:23, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0906, loss: 1.0906 2023-12-24 05:44:46,108 - pyskl - INFO - Saving checkpoint at 143 epochs 2023-12-24 05:45:42,875 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:45:42,936 - pyskl - INFO - top1_acc 0.9277 top5_acc 0.9946 2023-12-24 05:45:42,936 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:45:42,944 - pyskl - INFO - mean_acc 0.9046 2023-12-24 05:45:42,947 - pyskl - INFO - Epoch(val) [143][533] top1_acc: 0.9277, top5_acc: 0.9946, mean_class_accuracy: 0.9046 2023-12-24 05:46:28,170 - pyskl - INFO - Epoch [144][100/1281] lr: 1.312e-04, eta: 1:00:08, time: 0.452, data_time: 0.208, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0921, loss: 1.0921 2023-12-24 05:47:10,226 - pyskl - INFO - Epoch [144][200/1281] lr: 1.282e-04, eta: 0:59:27, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0774, loss: 1.0774 2023-12-24 05:47:51,958 - pyskl - INFO - Epoch [144][300/1281] lr: 1.253e-04, eta: 0:58:46, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0706, loss: 1.0706 2023-12-24 05:48:33,830 - pyskl - INFO - Epoch [144][400/1281] lr: 1.224e-04, eta: 0:58:06, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1037, loss: 1.1037 2023-12-24 05:49:16,106 - pyskl - INFO - Epoch [144][500/1281] lr: 1.196e-04, eta: 0:57:25, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0912, loss: 1.0912 2023-12-24 05:49:58,189 - pyskl - INFO - Epoch [144][600/1281] lr: 1.168e-04, eta: 0:56:44, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0758, loss: 1.0758 2023-12-24 05:50:40,367 - pyskl - INFO - Epoch [144][700/1281] lr: 1.140e-04, eta: 0:56:04, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1032, loss: 1.1032 2023-12-24 05:51:22,294 - pyskl - INFO - Epoch [144][800/1281] lr: 1.113e-04, eta: 0:55:23, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1001, loss: 1.1001 2023-12-24 05:52:03,947 - pyskl - INFO - Epoch [144][900/1281] lr: 1.086e-04, eta: 0:54:43, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0803, loss: 1.0803 2023-12-24 05:52:46,989 - pyskl - INFO - Epoch [144][1000/1281] lr: 1.059e-04, eta: 0:54:02, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0941, loss: 1.0941 2023-12-24 05:53:30,191 - pyskl - INFO - Epoch [144][1100/1281] lr: 1.033e-04, eta: 0:53:21, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0952, loss: 1.0952 2023-12-24 05:54:12,398 - pyskl - INFO - Epoch [144][1200/1281] lr: 1.007e-04, eta: 0:52:41, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1161, loss: 1.1161 2023-12-24 05:54:47,642 - pyskl - INFO - Saving checkpoint at 144 epochs 2023-12-24 05:55:43,832 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:55:43,891 - pyskl - INFO - top1_acc 0.9309 top5_acc 0.9941 2023-12-24 05:55:43,891 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:55:43,900 - pyskl - INFO - mean_acc 0.9083 2023-12-24 05:55:43,905 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_139.pth was removed 2023-12-24 05:55:44,095 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. 2023-12-24 05:55:44,096 - pyskl - INFO - Best top1_acc is 0.9309 at 144 epoch. 2023-12-24 05:55:44,098 - pyskl - INFO - Epoch(val) [144][533] top1_acc: 0.9309, top5_acc: 0.9941, mean_class_accuracy: 0.9083 2023-12-24 05:56:28,594 - pyskl - INFO - Epoch [145][100/1281] lr: 9.605e-05, eta: 0:51:26, time: 0.445, data_time: 0.188, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0713, loss: 1.0713 2023-12-24 05:57:12,185 - pyskl - INFO - Epoch [145][200/1281] lr: 9.353e-05, eta: 0:50:45, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1135, loss: 1.1135 2023-12-24 05:57:54,529 - pyskl - INFO - Epoch [145][300/1281] lr: 9.106e-05, eta: 0:50:05, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1016, loss: 1.1016 2023-12-24 05:58:36,777 - pyskl - INFO - Epoch [145][400/1281] lr: 8.861e-05, eta: 0:49:24, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1035, loss: 1.1035 2023-12-24 05:59:18,888 - pyskl - INFO - Epoch [145][500/1281] lr: 8.620e-05, eta: 0:48:43, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0943, loss: 1.0943 2023-12-24 06:00:00,651 - pyskl - INFO - Epoch [145][600/1281] lr: 8.382e-05, eta: 0:48:03, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1063, loss: 1.1063 2023-12-24 06:00:42,833 - pyskl - INFO - Epoch [145][700/1281] lr: 8.147e-05, eta: 0:47:22, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1037, loss: 1.1037 2023-12-24 06:01:25,305 - pyskl - INFO - Epoch [145][800/1281] lr: 7.916e-05, eta: 0:46:41, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0950, loss: 1.0950 2023-12-24 06:02:08,983 - pyskl - INFO - Epoch [145][900/1281] lr: 7.688e-05, eta: 0:46:01, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1108, loss: 1.1108 2023-12-24 06:02:52,925 - pyskl - INFO - Epoch [145][1000/1281] lr: 7.463e-05, eta: 0:45:20, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1025, loss: 1.1025 2023-12-24 06:03:35,613 - pyskl - INFO - Epoch [145][1100/1281] lr: 7.242e-05, eta: 0:44:40, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0891, loss: 1.0891 2023-12-24 06:04:18,666 - pyskl - INFO - Epoch [145][1200/1281] lr: 7.024e-05, eta: 0:43:59, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1011, loss: 1.1011 2023-12-24 06:04:53,704 - pyskl - INFO - Saving checkpoint at 145 epochs 2023-12-24 06:05:51,951 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:05:52,030 - pyskl - INFO - top1_acc 0.9292 top5_acc 0.9944 2023-12-24 06:05:52,030 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:05:52,043 - pyskl - INFO - mean_acc 0.9075 2023-12-24 06:05:52,046 - pyskl - INFO - Epoch(val) [145][533] top1_acc: 0.9292, top5_acc: 0.9944, mean_class_accuracy: 0.9075 2023-12-24 06:06:39,322 - pyskl - INFO - Epoch [146][100/1281] lr: 6.638e-05, eta: 0:42:45, time: 0.473, data_time: 0.209, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0842, loss: 1.0842 2023-12-24 06:07:21,165 - pyskl - INFO - Epoch [146][200/1281] lr: 6.429e-05, eta: 0:42:04, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0877, loss: 1.0877 2023-12-24 06:08:03,144 - pyskl - INFO - Epoch [146][300/1281] lr: 6.224e-05, eta: 0:41:23, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1069, loss: 1.1069 2023-12-24 06:08:45,363 - pyskl - INFO - Epoch [146][400/1281] lr: 6.022e-05, eta: 0:40:43, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0942, loss: 1.0942 2023-12-24 06:09:27,697 - pyskl - INFO - Epoch [146][500/1281] lr: 5.823e-05, eta: 0:40:02, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1128, loss: 1.1128 2023-12-24 06:10:09,870 - pyskl - INFO - Epoch [146][600/1281] lr: 5.628e-05, eta: 0:39:21, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0816, loss: 1.0816 2023-12-24 06:10:51,917 - pyskl - INFO - Epoch [146][700/1281] lr: 5.436e-05, eta: 0:38:41, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1054, loss: 1.1054 2023-12-24 06:11:33,675 - pyskl - INFO - Epoch [146][800/1281] lr: 5.247e-05, eta: 0:38:00, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0984, loss: 1.0984 2023-12-24 06:12:16,030 - pyskl - INFO - Epoch [146][900/1281] lr: 5.061e-05, eta: 0:37:19, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1007, loss: 1.1007 2023-12-24 06:12:58,429 - pyskl - INFO - Epoch [146][1000/1281] lr: 4.879e-05, eta: 0:36:39, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0941, loss: 1.0941 2023-12-24 06:13:40,691 - pyskl - INFO - Epoch [146][1100/1281] lr: 4.701e-05, eta: 0:35:58, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0854, loss: 1.0854 2023-12-24 06:14:23,011 - pyskl - INFO - Epoch [146][1200/1281] lr: 4.525e-05, eta: 0:35:17, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0942, loss: 1.0942 2023-12-24 06:14:57,421 - pyskl - INFO - Saving checkpoint at 146 epochs 2023-12-24 06:15:51,378 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:15:51,435 - pyskl - INFO - top1_acc 0.9301 top5_acc 0.9948 2023-12-24 06:15:51,435 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:15:51,442 - pyskl - INFO - mean_acc 0.9071 2023-12-24 06:15:51,444 - pyskl - INFO - Epoch(val) [146][533] top1_acc: 0.9301, top5_acc: 0.9948, mean_class_accuracy: 0.9071 2023-12-24 06:16:37,946 - pyskl - INFO - Epoch [147][100/1281] lr: 4.216e-05, eta: 0:34:03, time: 0.465, data_time: 0.212, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0947, loss: 1.0947 2023-12-24 06:17:21,969 - pyskl - INFO - Epoch [147][200/1281] lr: 4.050e-05, eta: 0:33:23, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0823, loss: 1.0823 2023-12-24 06:18:05,976 - pyskl - INFO - Epoch [147][300/1281] lr: 3.887e-05, eta: 0:32:42, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0991, loss: 1.0991 2023-12-24 06:18:48,832 - pyskl - INFO - Epoch [147][400/1281] lr: 3.728e-05, eta: 0:32:01, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0977, loss: 1.0977 2023-12-24 06:19:32,198 - pyskl - INFO - Epoch [147][500/1281] lr: 3.572e-05, eta: 0:31:21, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1092, loss: 1.1092 2023-12-24 06:20:16,172 - pyskl - INFO - Epoch [147][600/1281] lr: 3.419e-05, eta: 0:30:40, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1002, loss: 1.1002 2023-12-24 06:21:00,358 - pyskl - INFO - Epoch [147][700/1281] lr: 3.270e-05, eta: 0:29:59, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1159, loss: 1.1159 2023-12-24 06:21:44,478 - pyskl - INFO - Epoch [147][800/1281] lr: 3.124e-05, eta: 0:29:19, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0878, loss: 1.0878 2023-12-24 06:22:27,747 - pyskl - INFO - Epoch [147][900/1281] lr: 2.981e-05, eta: 0:28:38, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1145, loss: 1.1145 2023-12-24 06:23:10,688 - pyskl - INFO - Epoch [147][1000/1281] lr: 2.842e-05, eta: 0:27:58, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0852, loss: 1.0852 2023-12-24 06:23:53,595 - pyskl - INFO - Epoch [147][1100/1281] lr: 2.706e-05, eta: 0:27:17, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0971, loss: 1.0971 2023-12-24 06:24:37,826 - pyskl - INFO - Epoch [147][1200/1281] lr: 2.573e-05, eta: 0:26:36, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0922, loss: 1.0922 2023-12-24 06:25:14,290 - pyskl - INFO - Saving checkpoint at 147 epochs 2023-12-24 06:26:11,209 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:26:11,265 - pyskl - INFO - top1_acc 0.9282 top5_acc 0.9944 2023-12-24 06:26:11,265 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:26:11,272 - pyskl - INFO - mean_acc 0.9065 2023-12-24 06:26:11,274 - pyskl - INFO - Epoch(val) [147][533] top1_acc: 0.9282, top5_acc: 0.9944, mean_class_accuracy: 0.9065 2023-12-24 06:26:51,099 - pyskl - INFO - Epoch [148][100/1281] lr: 2.341e-05, eta: 0:25:22, time: 0.398, data_time: 0.172, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0821, loss: 1.0821 2023-12-24 06:27:35,126 - pyskl - INFO - Epoch [148][200/1281] lr: 2.218e-05, eta: 0:24:41, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0812, loss: 1.0812 2023-12-24 06:28:19,151 - pyskl - INFO - Epoch [148][300/1281] lr: 2.098e-05, eta: 0:24:01, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0952, loss: 1.0952 2023-12-24 06:29:03,097 - pyskl - INFO - Epoch [148][400/1281] lr: 1.981e-05, eta: 0:23:20, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1105, loss: 1.1105 2023-12-24 06:29:46,378 - pyskl - INFO - Epoch [148][500/1281] lr: 1.868e-05, eta: 0:22:40, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0943, loss: 1.0943 2023-12-24 06:30:29,289 - pyskl - INFO - Epoch [148][600/1281] lr: 1.758e-05, eta: 0:21:59, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0875, loss: 1.0875 2023-12-24 06:31:12,526 - pyskl - INFO - Epoch [148][700/1281] lr: 1.651e-05, eta: 0:21:18, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0897, loss: 1.0897 2023-12-24 06:31:55,435 - pyskl - INFO - Epoch [148][800/1281] lr: 1.548e-05, eta: 0:20:38, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1004, loss: 1.1004 2023-12-24 06:32:39,728 - pyskl - INFO - Epoch [148][900/1281] lr: 1.448e-05, eta: 0:19:57, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0947, loss: 1.0947 2023-12-24 06:33:23,277 - pyskl - INFO - Epoch [148][1000/1281] lr: 1.351e-05, eta: 0:19:16, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1014, loss: 1.1014 2023-12-24 06:34:05,889 - pyskl - INFO - Epoch [148][1100/1281] lr: 1.258e-05, eta: 0:18:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0997, loss: 1.0997 2023-12-24 06:34:49,092 - pyskl - INFO - Epoch [148][1200/1281] lr: 1.168e-05, eta: 0:17:55, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0839, loss: 1.0839 2023-12-24 06:35:24,201 - pyskl - INFO - Saving checkpoint at 148 epochs 2023-12-24 06:36:22,517 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:36:22,598 - pyskl - INFO - top1_acc 0.9289 top5_acc 0.9941 2023-12-24 06:36:22,598 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:36:22,606 - pyskl - INFO - mean_acc 0.9053 2023-12-24 06:36:22,608 - pyskl - INFO - Epoch(val) [148][533] top1_acc: 0.9289, top5_acc: 0.9941, mean_class_accuracy: 0.9053 2023-12-24 06:37:08,399 - pyskl - INFO - Epoch [149][100/1281] lr: 1.013e-05, eta: 0:16:41, time: 0.458, data_time: 0.210, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0962, loss: 1.0962 2023-12-24 06:37:50,244 - pyskl - INFO - Epoch [149][200/1281] lr: 9.328e-06, eta: 0:16:00, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1039, loss: 1.1039 2023-12-24 06:38:32,768 - pyskl - INFO - Epoch [149][300/1281] lr: 8.555e-06, eta: 0:15:20, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1111, loss: 1.1111 2023-12-24 06:39:15,072 - pyskl - INFO - Epoch [149][400/1281] lr: 7.816e-06, eta: 0:14:39, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0960, loss: 1.0960 2023-12-24 06:39:57,300 - pyskl - INFO - Epoch [149][500/1281] lr: 7.110e-06, eta: 0:13:58, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0703, loss: 1.0703 2023-12-24 06:40:39,434 - pyskl - INFO - Epoch [149][600/1281] lr: 6.437e-06, eta: 0:13:18, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1081, loss: 1.1081 2023-12-24 06:41:21,062 - pyskl - INFO - Epoch [149][700/1281] lr: 5.798e-06, eta: 0:12:37, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0757, loss: 1.0757 2023-12-24 06:42:04,460 - pyskl - INFO - Epoch [149][800/1281] lr: 5.192e-06, eta: 0:11:56, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1069, loss: 1.1069 2023-12-24 06:42:48,436 - pyskl - INFO - Epoch [149][900/1281] lr: 4.620e-06, eta: 0:11:16, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1010, loss: 1.1010 2023-12-24 06:43:32,436 - pyskl - INFO - Epoch [149][1000/1281] lr: 4.081e-06, eta: 0:10:35, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0873, loss: 1.0873 2023-12-24 06:44:15,917 - pyskl - INFO - Epoch [149][1100/1281] lr: 3.576e-06, eta: 0:09:54, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1069, loss: 1.1069 2023-12-24 06:44:57,562 - pyskl - INFO - Epoch [149][1200/1281] lr: 3.104e-06, eta: 0:09:14, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1195, loss: 1.1195 2023-12-24 06:45:33,089 - pyskl - INFO - Saving checkpoint at 149 epochs 2023-12-24 06:46:33,311 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:46:33,368 - pyskl - INFO - top1_acc 0.9274 top5_acc 0.9947 2023-12-24 06:46:33,368 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:46:33,377 - pyskl - INFO - mean_acc 0.9054 2023-12-24 06:46:33,379 - pyskl - INFO - Epoch(val) [149][533] top1_acc: 0.9274, top5_acc: 0.9947, mean_class_accuracy: 0.9054 2023-12-24 06:47:20,795 - pyskl - INFO - Epoch [150][100/1281] lr: 2.334e-06, eta: 0:08:00, time: 0.474, data_time: 0.212, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0871, loss: 1.0871 2023-12-24 06:48:03,270 - pyskl - INFO - Epoch [150][200/1281] lr: 1.956e-06, eta: 0:07:19, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0940, loss: 1.0940 2023-12-24 06:48:45,085 - pyskl - INFO - Epoch [150][300/1281] lr: 1.611e-06, eta: 0:06:39, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0811, loss: 1.0811 2023-12-24 06:49:27,242 - pyskl - INFO - Epoch [150][400/1281] lr: 1.300e-06, eta: 0:05:58, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1073, loss: 1.1073 2023-12-24 06:50:10,798 - pyskl - INFO - Epoch [150][500/1281] lr: 1.022e-06, eta: 0:05:17, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0843, loss: 1.0843 2023-12-24 06:50:54,824 - pyskl - INFO - Epoch [150][600/1281] lr: 7.771e-07, eta: 0:04:37, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0823, loss: 1.0823 2023-12-24 06:51:39,211 - pyskl - INFO - Epoch [150][700/1281] lr: 5.659e-07, eta: 0:03:56, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1146, loss: 1.1146 2023-12-24 06:52:21,963 - pyskl - INFO - Epoch [150][800/1281] lr: 3.881e-07, eta: 0:03:15, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1021, loss: 1.1021 2023-12-24 06:53:05,184 - pyskl - INFO - Epoch [150][900/1281] lr: 2.438e-07, eta: 0:02:35, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0909, loss: 1.0909 2023-12-24 06:53:47,500 - pyskl - INFO - Epoch [150][1000/1281] lr: 1.329e-07, eta: 0:01:54, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0883, loss: 1.0883 2023-12-24 06:54:30,324 - pyskl - INFO - Epoch [150][1100/1281] lr: 5.534e-08, eta: 0:01:13, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1248, loss: 1.1248 2023-12-24 06:55:12,909 - pyskl - INFO - Epoch [150][1200/1281] lr: 1.123e-08, eta: 0:00:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1000, loss: 1.1000 2023-12-24 06:55:47,478 - pyskl - INFO - Saving checkpoint at 150 epochs 2023-12-24 06:56:40,230 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:56:40,299 - pyskl - INFO - top1_acc 0.9282 top5_acc 0.9947 2023-12-24 06:56:40,299 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:56:40,311 - pyskl - INFO - mean_acc 0.9073 2023-12-24 06:56:40,314 - pyskl - INFO - Epoch(val) [150][533] top1_acc: 0.9282, top5_acc: 0.9947, mean_class_accuracy: 0.9073 2023-12-24 06:56:45,133 - pyskl - INFO - 8521 videos remain after valid thresholding 2023-12-24 07:07:30,918 - pyskl - INFO - Testing results of the last checkpoint 2023-12-24 07:07:30,919 - pyskl - INFO - top1_acc: 0.9306 2023-12-24 07:07:30,919 - pyskl - INFO - top5_acc: 0.9953 2023-12-24 07:07:30,919 - pyskl - INFO - mean_class_accuracy: 0.9078 2023-12-24 07:07:30,919 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/finegym/bm/best_top1_acc_epoch_144.pth 2023-12-24 07:18:13,006 - pyskl - INFO - Testing results of the best checkpoint 2023-12-24 07:18:13,007 - pyskl - INFO - top1_acc: 0.9331 2023-12-24 07:18:13,007 - pyskl - INFO - top5_acc: 0.9954 2023-12-24 07:18:13,007 - pyskl - INFO - mean_class_accuracy: 0.9099