2023-12-12 05:44:56,211 - 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+ ------------------------------------------------------------ 2023-12-12 05:44:56,652 - pyskl - INFO - Config: modality = 'b' graph = 'coco_new' work_dir = './work_dirs/test_prototype/finegym/b_1' 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=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] val_pipeline = [ dict(type='UniformSampleFrames', clip_len=100, num_clips=1), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] test_pipeline = [ dict(type='UniformSampleFrames', clip_len=100, num_clips=10), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ] data = dict( videos_per_gpu=16, workers_per_gpu=4, test_dataloader=dict(videos_per_gpu=1), train=dict( type='PoseDataset', ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100), dict(type='PoseDecode'), dict( type='Flip', flip_ratio=0.5, left_kp=[1, 3, 5, 7, 9, 11, 13, 15], right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='train'), val=dict( type='PoseDataset', ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100, num_clips=1), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='val'), test=dict( type='PoseDataset', ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', pipeline=[ dict(type='UniformSampleFrames', clip_len=100, num_clips=10), dict(type='PoseDecode'), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['b']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='val')) optimizer = dict( type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) optimizer_config = dict(grad_clip=None) lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) total_epochs = 150 checkpoint_config = dict(interval=1) evaluation = dict( interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) dist_params = dict(backend='nccl') gpu_ids = range(0, 1) 2023-12-12 05:44:56,653 - pyskl - INFO - Set random seed to 978267674, deterministic: False 2023-12-12 05:44:58,169 - pyskl - INFO - 20484 videos remain after valid thresholding 2023-12-12 05:45:03,734 - pyskl - INFO - 8521 videos remain after valid thresholding 2023-12-12 05:45:03,736 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1 2023-12-12 05:45:03,737 - 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 -------------------- 2023-12-12 05:45:03,737 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2023-12-12 05:45:03,738 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1 by HardDiskBackend. 2023-12-12 05:46:07,184 - pyskl - INFO - Epoch [1][100/1281] lr: 2.500e-02, eta: 1 day, 9:50:33, time: 0.634, data_time: 0.192, memory: 4120, top1_acc: 0.0700, top5_acc: 0.2662, loss_cls: 6.9021, loss: 6.9021 2023-12-12 05:46:49,469 - pyskl - INFO - Epoch [1][200/1281] lr: 2.500e-02, eta: 1 day, 4:11:07, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.1006, top5_acc: 0.3700, loss_cls: 6.9666, loss: 6.9666 2023-12-12 05:47:31,553 - pyskl - INFO - Epoch [1][300/1281] lr: 2.500e-02, eta: 1 day, 2:15:21, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.1275, top5_acc: 0.4163, loss_cls: 7.3491, loss: 7.3491 2023-12-12 05:48:13,474 - pyskl - INFO - Epoch [1][400/1281] lr: 2.500e-02, eta: 1 day, 1:15:48, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.1325, top5_acc: 0.4419, loss_cls: 6.9193, loss: 6.9193 2023-12-12 05:48:55,438 - pyskl - INFO - Epoch [1][500/1281] lr: 2.500e-02, eta: 1 day, 0:40:05, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.1169, top5_acc: 0.4100, loss_cls: 6.6121, loss: 6.6121 2023-12-12 05:49:37,360 - pyskl - INFO - Epoch [1][600/1281] lr: 2.500e-02, eta: 1 day, 0:15:49, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.1537, top5_acc: 0.4612, loss_cls: 6.4250, loss: 6.4250 2023-12-12 05:50:19,433 - pyskl - INFO - Epoch [1][700/1281] lr: 2.500e-02, eta: 23:58:58, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.1613, top5_acc: 0.5050, loss_cls: 6.1943, loss: 6.1943 2023-12-12 05:51:02,447 - pyskl - INFO - Epoch [1][800/1281] lr: 2.500e-02, eta: 23:49:55, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.1956, top5_acc: 0.5306, loss_cls: 6.0122, loss: 6.0122 2023-12-12 05:51:45,310 - pyskl - INFO - Epoch [1][900/1281] lr: 2.500e-02, eta: 23:42:10, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.2112, top5_acc: 0.5819, loss_cls: 5.6119, loss: 5.6119 2023-12-12 05:52:27,760 - pyskl - INFO - Epoch [1][1000/1281] lr: 2.500e-02, eta: 23:34:31, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.2200, top5_acc: 0.5863, loss_cls: 5.2928, loss: 5.2928 2023-12-12 05:53:10,797 - pyskl - INFO - Epoch [1][1100/1281] lr: 2.500e-02, eta: 23:29:49, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.2437, top5_acc: 0.6162, loss_cls: 5.1550, loss: 5.1550 2023-12-12 05:53:53,684 - pyskl - INFO - Epoch [1][1200/1281] lr: 2.500e-02, eta: 23:25:24, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.2681, top5_acc: 0.6325, loss_cls: 4.8506, loss: 4.8506 2023-12-12 05:54:19,165 - pyskl - INFO - Saving checkpoint at 1 epochs 2023-12-12 05:55:24,402 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 05:55:24,475 - pyskl - INFO - top1_acc 0.2831 top5_acc 0.6742 2023-12-12 05:55:24,475 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 05:55:24,484 - pyskl - INFO - mean_acc 0.1296 2023-12-12 05:55:24,682 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2023-12-12 05:55:24,682 - pyskl - INFO - Best top1_acc is 0.2831 at 1 epoch. 2023-12-12 05:55:24,685 - pyskl - INFO - Epoch(val) [1][533] top1_acc: 0.2831, top5_acc: 0.6742, mean_class_accuracy: 0.1296 2023-12-12 05:56:24,986 - pyskl - INFO - Epoch [2][100/1281] lr: 2.500e-02, eta: 22:38:51, time: 0.603, data_time: 0.184, memory: 4120, top1_acc: 0.3031, top5_acc: 0.7050, loss_cls: 4.3752, loss: 4.3752 2023-12-12 05:57:07,010 - pyskl - INFO - Epoch [2][200/1281] lr: 2.500e-02, eta: 22:36:36, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.3206, top5_acc: 0.6975, loss_cls: 4.2047, loss: 4.2047 2023-12-12 05:57:48,907 - pyskl - INFO - Epoch [2][300/1281] lr: 2.500e-02, eta: 22:34:18, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.3600, top5_acc: 0.7500, loss_cls: 3.9067, loss: 3.9067 2023-12-12 05:58:30,959 - pyskl - INFO - Epoch [2][400/1281] lr: 2.500e-02, eta: 22:32:29, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.3912, top5_acc: 0.7719, loss_cls: 3.7009, loss: 3.7009 2023-12-12 05:59:12,952 - pyskl - INFO - Epoch [2][500/1281] lr: 2.499e-02, eta: 22:30:40, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.4069, top5_acc: 0.7906, loss_cls: 3.5326, loss: 3.5326 2023-12-12 05:59:54,896 - pyskl - INFO - Epoch [2][600/1281] lr: 2.499e-02, eta: 22:28:54, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.3994, top5_acc: 0.8063, loss_cls: 3.4694, loss: 3.4694 2023-12-12 06:00:37,037 - pyskl - INFO - Epoch [2][700/1281] lr: 2.499e-02, eta: 22:27:34, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.4350, top5_acc: 0.8225, loss_cls: 3.1475, loss: 3.1475 2023-12-12 06:01:18,984 - pyskl - INFO - Epoch [2][800/1281] lr: 2.499e-02, eta: 22:25:59, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.4306, top5_acc: 0.8369, loss_cls: 3.1781, loss: 3.1781 2023-12-12 06:02:00,987 - pyskl - INFO - Epoch [2][900/1281] lr: 2.499e-02, eta: 22:24:34, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.4356, top5_acc: 0.8438, loss_cls: 3.0904, loss: 3.0904 2023-12-12 06:02:42,811 - pyskl - INFO - Epoch [2][1000/1281] lr: 2.499e-02, eta: 22:22:58, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.4369, top5_acc: 0.8475, loss_cls: 3.0404, loss: 3.0404 2023-12-12 06:03:24,688 - pyskl - INFO - Epoch [2][1100/1281] lr: 2.499e-02, eta: 22:21:31, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.4481, top5_acc: 0.8525, loss_cls: 2.9146, loss: 2.9146 2023-12-12 06:04:06,473 - pyskl - INFO - Epoch [2][1200/1281] lr: 2.499e-02, eta: 22:20:00, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.4713, top5_acc: 0.8662, loss_cls: 2.8478, loss: 2.8478 2023-12-12 06:04:32,639 - pyskl - INFO - Saving checkpoint at 2 epochs 2023-12-12 06:05:38,738 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 06:05:38,792 - pyskl - INFO - top1_acc 0.4724 top5_acc 0.8852 2023-12-12 06:05:38,792 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 06:05:38,799 - pyskl - INFO - mean_acc 0.2898 2023-12-12 06:05:38,804 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_1.pth was removed 2023-12-12 06:05:39,030 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2023-12-12 06:05:39,031 - pyskl - INFO - Best top1_acc is 0.4724 at 2 epoch. 2023-12-12 06:05:39,034 - pyskl - INFO - Epoch(val) [2][533] top1_acc: 0.4724, top5_acc: 0.8852, mean_class_accuracy: 0.2898 2023-12-12 06:06:40,747 - pyskl - INFO - Epoch [3][100/1281] lr: 2.499e-02, eta: 22:00:54, time: 0.617, data_time: 0.187, memory: 4120, top1_acc: 0.4800, top5_acc: 0.8862, loss_cls: 2.7058, loss: 2.7058 2023-12-12 06:07:23,696 - pyskl - INFO - Epoch [3][200/1281] lr: 2.499e-02, eta: 22:01:29, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.5150, top5_acc: 0.8969, loss_cls: 2.5747, loss: 2.5747 2023-12-12 06:08:06,700 - pyskl - INFO - Epoch [3][300/1281] lr: 2.499e-02, eta: 22:02:02, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.4994, top5_acc: 0.8856, loss_cls: 2.5842, loss: 2.5842 2023-12-12 06:08:49,706 - pyskl - INFO - Epoch [3][400/1281] lr: 2.499e-02, eta: 22:02:31, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.5156, top5_acc: 0.9050, loss_cls: 2.4590, loss: 2.4590 2023-12-12 06:09:32,785 - pyskl - INFO - Epoch [3][500/1281] lr: 2.498e-02, eta: 22:02:59, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.5162, top5_acc: 0.9213, loss_cls: 2.3456, loss: 2.3456 2023-12-12 06:10:15,755 - pyskl - INFO - Epoch [3][600/1281] lr: 2.498e-02, eta: 22:03:16, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.5413, top5_acc: 0.9163, loss_cls: 2.3069, loss: 2.3069 2023-12-12 06:10:58,521 - pyskl - INFO - Epoch [3][700/1281] lr: 2.498e-02, eta: 22:03:17, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.5506, top5_acc: 0.9269, loss_cls: 2.2832, loss: 2.2832 2023-12-12 06:11:41,547 - pyskl - INFO - Epoch [3][800/1281] lr: 2.498e-02, eta: 22:03:31, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.5544, top5_acc: 0.9150, loss_cls: 2.2567, loss: 2.2567 2023-12-12 06:12:24,363 - pyskl - INFO - Epoch [3][900/1281] lr: 2.498e-02, eta: 22:03:30, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.5519, top5_acc: 0.9194, loss_cls: 2.2326, loss: 2.2326 2023-12-12 06:13:06,196 - pyskl - INFO - Epoch [3][1000/1281] lr: 2.498e-02, eta: 22:02:34, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.5687, top5_acc: 0.9094, loss_cls: 2.2726, loss: 2.2726 2023-12-12 06:13:48,095 - pyskl - INFO - Epoch [3][1100/1281] lr: 2.498e-02, eta: 22:01:43, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.5337, top5_acc: 0.9187, loss_cls: 2.3197, loss: 2.3197 2023-12-12 06:14:30,145 - pyskl - INFO - Epoch [3][1200/1281] lr: 2.498e-02, eta: 22:01:00, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.5737, top5_acc: 0.9337, loss_cls: 2.1311, loss: 2.1311 2023-12-12 06:14:56,202 - pyskl - INFO - Saving checkpoint at 3 epochs 2023-12-12 06:16:02,777 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 06:16:02,834 - pyskl - INFO - top1_acc 0.5572 top5_acc 0.9025 2023-12-12 06:16:02,834 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 06:16:02,841 - pyskl - INFO - mean_acc 0.3817 2023-12-12 06:16:02,845 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_2.pth was removed 2023-12-12 06:16:03,052 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2023-12-12 06:16:03,052 - pyskl - INFO - Best top1_acc is 0.5572 at 3 epoch. 2023-12-12 06:16:03,057 - pyskl - INFO - Epoch(val) [3][533] top1_acc: 0.5572, top5_acc: 0.9025, mean_class_accuracy: 0.3817 2023-12-12 06:17:03,982 - pyskl - INFO - Epoch [4][100/1281] lr: 2.497e-02, eta: 21:47:36, time: 0.609, data_time: 0.187, memory: 4120, top1_acc: 0.5962, top5_acc: 0.9337, loss_cls: 2.0856, loss: 2.0856 2023-12-12 06:17:47,084 - pyskl - INFO - Epoch [4][200/1281] lr: 2.497e-02, eta: 21:48:01, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.5737, top5_acc: 0.9400, loss_cls: 2.0837, loss: 2.0837 2023-12-12 06:18:30,021 - pyskl - INFO - Epoch [4][300/1281] lr: 2.497e-02, eta: 21:48:14, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.5919, top5_acc: 0.9369, loss_cls: 2.0291, loss: 2.0291 2023-12-12 06:19:12,367 - pyskl - INFO - Epoch [4][400/1281] lr: 2.497e-02, eta: 21:47:58, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.5713, top5_acc: 0.9369, loss_cls: 2.1610, loss: 2.1610 2023-12-12 06:19:54,404 - pyskl - INFO - Epoch [4][500/1281] lr: 2.497e-02, eta: 21:47:28, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.5887, top5_acc: 0.9487, loss_cls: 2.0569, loss: 2.0569 2023-12-12 06:20:36,435 - pyskl - INFO - Epoch [4][600/1281] lr: 2.497e-02, eta: 21:46:58, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.6025, top5_acc: 0.9369, loss_cls: 1.9897, loss: 1.9897 2023-12-12 06:21:18,371 - pyskl - INFO - Epoch [4][700/1281] lr: 2.497e-02, eta: 21:46:22, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.6100, top5_acc: 0.9344, loss_cls: 1.9982, loss: 1.9982 2023-12-12 06:22:00,450 - pyskl - INFO - Epoch [4][800/1281] lr: 2.496e-02, eta: 21:45:52, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.6106, top5_acc: 0.9487, loss_cls: 1.9608, loss: 1.9608 2023-12-12 06:22:42,405 - pyskl - INFO - Epoch [4][900/1281] lr: 2.496e-02, eta: 21:45:17, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.6238, top5_acc: 0.9619, loss_cls: 1.8615, loss: 1.8615 2023-12-12 06:23:24,332 - pyskl - INFO - Epoch [4][1000/1281] lr: 2.496e-02, eta: 21:44:41, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.6138, top5_acc: 0.9406, loss_cls: 1.9552, loss: 1.9552 2023-12-12 06:24:06,320 - pyskl - INFO - Epoch [4][1100/1281] lr: 2.496e-02, eta: 21:44:06, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.6225, top5_acc: 0.9544, loss_cls: 1.8973, loss: 1.8973 2023-12-12 06:24:48,237 - pyskl - INFO - Epoch [4][1200/1281] lr: 2.496e-02, eta: 21:43:29, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.6288, top5_acc: 0.9531, loss_cls: 1.8807, loss: 1.8807 2023-12-12 06:25:16,280 - pyskl - INFO - Saving checkpoint at 4 epochs 2023-12-12 06:26:27,289 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 06:26:27,349 - pyskl - INFO - top1_acc 0.6022 top5_acc 0.9478 2023-12-12 06:26:27,349 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 06:26:27,357 - pyskl - INFO - mean_acc 0.4450 2023-12-12 06:26:27,362 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_3.pth was removed 2023-12-12 06:26:27,592 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2023-12-12 06:26:27,592 - pyskl - INFO - Best top1_acc is 0.6022 at 4 epoch. 2023-12-12 06:26:27,595 - pyskl - INFO - Epoch(val) [4][533] top1_acc: 0.6022, top5_acc: 0.9478, mean_class_accuracy: 0.4450 2023-12-12 06:27:32,887 - pyskl - INFO - Epoch [5][100/1281] lr: 2.495e-02, eta: 21:36:02, time: 0.653, data_time: 0.219, memory: 4120, top1_acc: 0.6250, top5_acc: 0.9606, loss_cls: 1.8019, loss: 1.8019 2023-12-12 06:28:15,939 - pyskl - INFO - Epoch [5][200/1281] lr: 2.495e-02, eta: 21:36:11, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.6400, top5_acc: 0.9581, loss_cls: 1.8222, loss: 1.8222 2023-12-12 06:28:57,881 - pyskl - INFO - Epoch [5][300/1281] lr: 2.495e-02, eta: 21:35:41, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.6344, top5_acc: 0.9594, loss_cls: 1.7975, loss: 1.7975 2023-12-12 06:29:40,700 - pyskl - INFO - Epoch [5][400/1281] lr: 2.495e-02, eta: 21:35:39, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.6444, top5_acc: 0.9531, loss_cls: 1.8100, loss: 1.8100 2023-12-12 06:30:23,672 - pyskl - INFO - Epoch [5][500/1281] lr: 2.495e-02, eta: 21:35:41, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.6619, top5_acc: 0.9537, loss_cls: 1.7573, loss: 1.7573 2023-12-12 06:31:08,166 - pyskl - INFO - Epoch [5][600/1281] lr: 2.495e-02, eta: 21:36:31, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.6388, top5_acc: 0.9487, loss_cls: 1.8575, loss: 1.8575 2023-12-12 06:31:50,960 - pyskl - INFO - Epoch [5][700/1281] lr: 2.494e-02, eta: 21:36:23, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.6494, top5_acc: 0.9600, loss_cls: 1.7483, loss: 1.7483 2023-12-12 06:32:34,004 - pyskl - INFO - Epoch [5][800/1281] lr: 2.494e-02, eta: 21:36:22, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.6550, top5_acc: 0.9581, loss_cls: 1.7771, loss: 1.7771 2023-12-12 06:33:15,938 - pyskl - INFO - Epoch [5][900/1281] lr: 2.494e-02, eta: 21:35:45, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.6500, top5_acc: 0.9613, loss_cls: 1.7332, loss: 1.7332 2023-12-12 06:33:59,218 - pyskl - INFO - Epoch [5][1000/1281] lr: 2.494e-02, eta: 21:35:49, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.6681, top5_acc: 0.9613, loss_cls: 1.7033, loss: 1.7033 2023-12-12 06:34:43,432 - pyskl - INFO - Epoch [5][1100/1281] lr: 2.494e-02, eta: 21:36:20, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.6619, top5_acc: 0.9550, loss_cls: 1.6830, loss: 1.6830 2023-12-12 06:35:26,191 - pyskl - INFO - Epoch [5][1200/1281] lr: 2.493e-02, eta: 21:36:05, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.6856, top5_acc: 0.9669, loss_cls: 1.6469, loss: 1.6469 2023-12-12 06:35:53,200 - pyskl - INFO - Saving checkpoint at 5 epochs 2023-12-12 06:37:02,726 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 06:37:02,788 - pyskl - INFO - top1_acc 0.5998 top5_acc 0.9187 2023-12-12 06:37:02,788 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 06:37:02,795 - pyskl - INFO - mean_acc 0.4790 2023-12-12 06:37:02,798 - pyskl - INFO - Epoch(val) [5][533] top1_acc: 0.5998, top5_acc: 0.9187, mean_class_accuracy: 0.4790 2023-12-12 06:38:05,566 - pyskl - INFO - Epoch [6][100/1281] lr: 2.493e-02, eta: 21:28:39, time: 0.628, data_time: 0.196, memory: 4120, top1_acc: 0.6894, top5_acc: 0.9694, loss_cls: 1.5713, loss: 1.5713 2023-12-12 06:38:49,729 - pyskl - INFO - Epoch [6][200/1281] lr: 2.493e-02, eta: 21:29:08, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.6863, top5_acc: 0.9594, loss_cls: 1.6008, loss: 1.6008 2023-12-12 06:39:34,576 - pyskl - INFO - Epoch [6][300/1281] lr: 2.492e-02, eta: 21:29:53, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.6931, top5_acc: 0.9619, loss_cls: 1.5825, loss: 1.5825 2023-12-12 06:40:19,280 - pyskl - INFO - Epoch [6][400/1281] lr: 2.492e-02, eta: 21:30:33, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.6850, top5_acc: 0.9719, loss_cls: 1.5783, loss: 1.5783 2023-12-12 06:41:04,062 - pyskl - INFO - Epoch [6][500/1281] lr: 2.492e-02, eta: 21:31:11, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.6675, top5_acc: 0.9675, loss_cls: 1.6414, loss: 1.6414 2023-12-12 06:41:47,878 - pyskl - INFO - Epoch [6][600/1281] lr: 2.492e-02, eta: 21:31:22, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.6706, top5_acc: 0.9581, loss_cls: 1.6631, loss: 1.6631 2023-12-12 06:42:30,122 - pyskl - INFO - Epoch [6][700/1281] lr: 2.492e-02, eta: 21:30:51, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.7156, top5_acc: 0.9719, loss_cls: 1.4853, loss: 1.4853 2023-12-12 06:43:12,446 - pyskl - INFO - Epoch [6][800/1281] lr: 2.491e-02, eta: 21:30:21, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.6769, top5_acc: 0.9694, loss_cls: 1.6327, loss: 1.6327 2023-12-12 06:43:57,081 - pyskl - INFO - Epoch [6][900/1281] lr: 2.491e-02, eta: 21:30:49, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.6556, top5_acc: 0.9656, loss_cls: 1.6766, loss: 1.6766 2023-12-12 06:44:40,258 - pyskl - INFO - Epoch [6][1000/1281] lr: 2.491e-02, eta: 21:30:39, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.6975, top5_acc: 0.9663, loss_cls: 1.5492, loss: 1.5492 2023-12-12 06:45:23,267 - pyskl - INFO - Epoch [6][1100/1281] lr: 2.491e-02, eta: 21:30:24, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.7044, top5_acc: 0.9769, loss_cls: 1.4489, loss: 1.4489 2023-12-12 06:46:06,366 - pyskl - INFO - Epoch [6][1200/1281] lr: 2.490e-02, eta: 21:30:10, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.6850, top5_acc: 0.9706, loss_cls: 1.5873, loss: 1.5873 2023-12-12 06:46:31,797 - pyskl - INFO - Saving checkpoint at 6 epochs 2023-12-12 06:47:37,817 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 06:47:37,891 - pyskl - INFO - top1_acc 0.6753 top5_acc 0.9581 2023-12-12 06:47:37,892 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 06:47:37,903 - pyskl - INFO - mean_acc 0.5217 2023-12-12 06:47:37,910 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_4.pth was removed 2023-12-12 06:47:38,195 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. 2023-12-12 06:47:38,195 - pyskl - INFO - Best top1_acc is 0.6753 at 6 epoch. 2023-12-12 06:47:38,199 - pyskl - INFO - Epoch(val) [6][533] top1_acc: 0.6753, top5_acc: 0.9581, mean_class_accuracy: 0.5217 2023-12-12 06:48:38,005 - pyskl - INFO - Epoch [7][100/1281] lr: 2.490e-02, eta: 21:22:32, time: 0.598, data_time: 0.178, memory: 4120, top1_acc: 0.6937, top5_acc: 0.9669, loss_cls: 1.5365, loss: 1.5365 2023-12-12 06:49:20,030 - pyskl - INFO - Epoch [7][200/1281] lr: 2.490e-02, eta: 21:21:57, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.6975, top5_acc: 0.9663, loss_cls: 1.5355, loss: 1.5355 2023-12-12 06:50:02,241 - pyskl - INFO - Epoch [7][300/1281] lr: 2.489e-02, eta: 21:21:26, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7087, top5_acc: 0.9731, loss_cls: 1.4817, loss: 1.4817 2023-12-12 06:50:44,347 - pyskl - INFO - Epoch [7][400/1281] lr: 2.489e-02, eta: 21:20:53, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.7019, top5_acc: 0.9681, loss_cls: 1.5109, loss: 1.5109 2023-12-12 06:51:26,276 - pyskl - INFO - Epoch [7][500/1281] lr: 2.489e-02, eta: 21:20:15, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7119, top5_acc: 0.9756, loss_cls: 1.4447, loss: 1.4447 2023-12-12 06:52:08,283 - pyskl - INFO - Epoch [7][600/1281] lr: 2.489e-02, eta: 21:19:39, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7000, top5_acc: 0.9706, loss_cls: 1.5359, loss: 1.5359 2023-12-12 06:52:50,276 - pyskl - INFO - Epoch [7][700/1281] lr: 2.488e-02, eta: 21:19:02, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7013, top5_acc: 0.9788, loss_cls: 1.4970, loss: 1.4970 2023-12-12 06:53:32,263 - pyskl - INFO - Epoch [7][800/1281] lr: 2.488e-02, eta: 21:18:25, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7225, top5_acc: 0.9744, loss_cls: 1.4348, loss: 1.4348 2023-12-12 06:54:14,881 - pyskl - INFO - Epoch [7][900/1281] lr: 2.488e-02, eta: 21:18:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7188, top5_acc: 0.9706, loss_cls: 1.4618, loss: 1.4618 2023-12-12 06:54:57,018 - pyskl - INFO - Epoch [7][1000/1281] lr: 2.487e-02, eta: 21:17:27, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.7063, top5_acc: 0.9700, loss_cls: 1.4947, loss: 1.4947 2023-12-12 06:55:38,791 - pyskl - INFO - Epoch [7][1100/1281] lr: 2.487e-02, eta: 21:16:46, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7075, top5_acc: 0.9656, loss_cls: 1.4770, loss: 1.4770 2023-12-12 06:56:20,725 - pyskl - INFO - Epoch [7][1200/1281] lr: 2.487e-02, eta: 21:16:07, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7325, top5_acc: 0.9788, loss_cls: 1.3426, loss: 1.3426 2023-12-12 06:56:46,623 - pyskl - INFO - Saving checkpoint at 7 epochs 2023-12-12 06:57:52,494 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 06:57:52,554 - pyskl - INFO - top1_acc 0.6949 top5_acc 0.9687 2023-12-12 06:57:52,554 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 06:57:52,561 - pyskl - INFO - mean_acc 0.5693 2023-12-12 06:57:52,566 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_6.pth was removed 2023-12-12 06:57:52,782 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. 2023-12-12 06:57:52,782 - pyskl - INFO - Best top1_acc is 0.6949 at 7 epoch. 2023-12-12 06:57:52,787 - pyskl - INFO - Epoch(val) [7][533] top1_acc: 0.6949, top5_acc: 0.9687, mean_class_accuracy: 0.5693 2023-12-12 06:58:52,841 - pyskl - INFO - Epoch [8][100/1281] lr: 2.486e-02, eta: 21:09:37, time: 0.600, data_time: 0.181, memory: 4120, top1_acc: 0.7238, top5_acc: 0.9794, loss_cls: 1.4106, loss: 1.4106 2023-12-12 06:59:34,968 - pyskl - INFO - Epoch [8][200/1281] lr: 2.486e-02, eta: 21:09:05, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.7325, top5_acc: 0.9825, loss_cls: 1.3097, loss: 1.3097 2023-12-12 07:00:18,028 - pyskl - INFO - Epoch [8][300/1281] lr: 2.486e-02, eta: 21:08:52, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7181, top5_acc: 0.9744, loss_cls: 1.4232, loss: 1.4232 2023-12-12 07:01:01,013 - pyskl - INFO - Epoch [8][400/1281] lr: 2.485e-02, eta: 21:08:37, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7169, top5_acc: 0.9781, loss_cls: 1.3850, loss: 1.3850 2023-12-12 07:01:44,088 - pyskl - INFO - Epoch [8][500/1281] lr: 2.485e-02, eta: 21:08:23, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7325, top5_acc: 0.9775, loss_cls: 1.3970, loss: 1.3970 2023-12-12 07:02:27,240 - pyskl - INFO - Epoch [8][600/1281] lr: 2.485e-02, eta: 21:08:10, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.7344, top5_acc: 0.9712, loss_cls: 1.3912, loss: 1.3912 2023-12-12 07:03:10,264 - pyskl - INFO - Epoch [8][700/1281] lr: 2.484e-02, eta: 21:07:54, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7344, top5_acc: 0.9769, loss_cls: 1.3603, loss: 1.3603 2023-12-12 07:03:53,284 - pyskl - INFO - Epoch [8][800/1281] lr: 2.484e-02, eta: 21:07:37, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7506, top5_acc: 0.9775, loss_cls: 1.3174, loss: 1.3174 2023-12-12 07:04:36,271 - pyskl - INFO - Epoch [8][900/1281] lr: 2.484e-02, eta: 21:07:19, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7406, top5_acc: 0.9794, loss_cls: 1.3072, loss: 1.3072 2023-12-12 07:05:19,088 - pyskl - INFO - Epoch [8][1000/1281] lr: 2.483e-02, eta: 21:06:57, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7269, top5_acc: 0.9788, loss_cls: 1.3920, loss: 1.3920 2023-12-12 07:06:02,065 - pyskl - INFO - Epoch [8][1100/1281] lr: 2.483e-02, eta: 21:06:38, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7106, top5_acc: 0.9781, loss_cls: 1.4456, loss: 1.4456 2023-12-12 07:06:45,164 - pyskl - INFO - Epoch [8][1200/1281] lr: 2.483e-02, eta: 21:06:21, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7588, top5_acc: 0.9794, loss_cls: 1.3008, loss: 1.3008 2023-12-12 07:07:12,473 - pyskl - INFO - Saving checkpoint at 8 epochs 2023-12-12 07:08:19,935 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 07:08:19,993 - pyskl - INFO - top1_acc 0.6477 top5_acc 0.9590 2023-12-12 07:08:19,993 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 07:08:20,001 - pyskl - INFO - mean_acc 0.5339 2023-12-12 07:08:20,003 - pyskl - INFO - Epoch(val) [8][533] top1_acc: 0.6477, top5_acc: 0.9590, mean_class_accuracy: 0.5339 2023-12-12 07:09:20,498 - pyskl - INFO - Epoch [9][100/1281] lr: 2.482e-02, eta: 21:00:40, time: 0.605, data_time: 0.187, memory: 4120, top1_acc: 0.7356, top5_acc: 0.9812, loss_cls: 1.2932, loss: 1.2932 2023-12-12 07:10:02,448 - pyskl - INFO - Epoch [9][200/1281] lr: 2.482e-02, eta: 21:00:05, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7475, top5_acc: 0.9725, loss_cls: 1.3108, loss: 1.3108 2023-12-12 07:10:44,334 - pyskl - INFO - Epoch [9][300/1281] lr: 2.481e-02, eta: 20:59:28, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7506, top5_acc: 0.9775, loss_cls: 1.2973, loss: 1.2973 2023-12-12 07:11:26,274 - pyskl - INFO - Epoch [9][400/1281] lr: 2.481e-02, eta: 20:58:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7319, top5_acc: 0.9788, loss_cls: 1.3373, loss: 1.3373 2023-12-12 07:12:08,312 - pyskl - INFO - Epoch [9][500/1281] lr: 2.481e-02, eta: 20:58:17, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7512, top5_acc: 0.9856, loss_cls: 1.2899, loss: 1.2899 2023-12-12 07:12:50,321 - pyskl - INFO - Epoch [9][600/1281] lr: 2.480e-02, eta: 20:57:42, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7412, top5_acc: 0.9806, loss_cls: 1.3136, loss: 1.3136 2023-12-12 07:13:32,292 - pyskl - INFO - Epoch [9][700/1281] lr: 2.480e-02, eta: 20:57:06, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7456, top5_acc: 0.9781, loss_cls: 1.2936, loss: 1.2936 2023-12-12 07:14:14,338 - pyskl - INFO - Epoch [9][800/1281] lr: 2.480e-02, eta: 20:56:31, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7375, top5_acc: 0.9819, loss_cls: 1.2922, loss: 1.2922 2023-12-12 07:14:56,359 - pyskl - INFO - Epoch [9][900/1281] lr: 2.479e-02, eta: 20:55:56, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7294, top5_acc: 0.9731, loss_cls: 1.3654, loss: 1.3654 2023-12-12 07:15:39,373 - pyskl - INFO - Epoch [9][1000/1281] lr: 2.479e-02, eta: 20:55:37, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7462, top5_acc: 0.9775, loss_cls: 1.3169, loss: 1.3169 2023-12-12 07:16:22,507 - pyskl - INFO - Epoch [9][1100/1281] lr: 2.479e-02, eta: 20:55:19, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7650, top5_acc: 0.9844, loss_cls: 1.2410, loss: 1.2410 2023-12-12 07:17:05,507 - pyskl - INFO - Epoch [9][1200/1281] lr: 2.478e-02, eta: 20:54:58, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7394, top5_acc: 0.9781, loss_cls: 1.3309, loss: 1.3309 2023-12-12 07:17:34,390 - pyskl - INFO - Saving checkpoint at 9 epochs 2023-12-12 07:18:42,527 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 07:18:42,598 - pyskl - INFO - top1_acc 0.7244 top5_acc 0.9772 2023-12-12 07:18:42,599 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 07:18:42,610 - pyskl - INFO - mean_acc 0.6091 2023-12-12 07:18:42,617 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_7.pth was removed 2023-12-12 07:18:42,892 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. 2023-12-12 07:18:42,893 - pyskl - INFO - Best top1_acc is 0.7244 at 9 epoch. 2023-12-12 07:18:42,895 - pyskl - INFO - Epoch(val) [9][533] top1_acc: 0.7244, top5_acc: 0.9772, mean_class_accuracy: 0.6091 2023-12-12 07:19:43,729 - pyskl - INFO - Epoch [10][100/1281] lr: 2.477e-02, eta: 20:49:56, time: 0.608, data_time: 0.188, memory: 4120, top1_acc: 0.7669, top5_acc: 0.9825, loss_cls: 1.2388, loss: 1.2388 2023-12-12 07:20:25,541 - pyskl - INFO - Epoch [10][200/1281] lr: 2.477e-02, eta: 20:49:19, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7638, top5_acc: 0.9844, loss_cls: 1.2108, loss: 1.2108 2023-12-12 07:21:07,371 - pyskl - INFO - Epoch [10][300/1281] lr: 2.477e-02, eta: 20:48:42, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7712, top5_acc: 0.9862, loss_cls: 1.1931, loss: 1.1931 2023-12-12 07:21:49,296 - pyskl - INFO - Epoch [10][400/1281] lr: 2.476e-02, eta: 20:48:06, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7525, top5_acc: 0.9788, loss_cls: 1.2540, loss: 1.2540 2023-12-12 07:22:31,313 - pyskl - INFO - Epoch [10][500/1281] lr: 2.476e-02, eta: 20:47:31, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7488, top5_acc: 0.9856, loss_cls: 1.2250, loss: 1.2250 2023-12-12 07:23:13,206 - pyskl - INFO - Epoch [10][600/1281] lr: 2.476e-02, eta: 20:46:55, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.7625, top5_acc: 0.9825, loss_cls: 1.2232, loss: 1.2232 2023-12-12 07:23:55,221 - pyskl - INFO - Epoch [10][700/1281] lr: 2.475e-02, eta: 20:46:20, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7288, top5_acc: 0.9738, loss_cls: 1.3784, loss: 1.3784 2023-12-12 07:24:37,192 - pyskl - INFO - Epoch [10][800/1281] lr: 2.475e-02, eta: 20:45:44, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7675, top5_acc: 0.9862, loss_cls: 1.1707, loss: 1.1707 2023-12-12 07:25:19,319 - pyskl - INFO - Epoch [10][900/1281] lr: 2.474e-02, eta: 20:45:11, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.7425, top5_acc: 0.9762, loss_cls: 1.2985, loss: 1.2985 2023-12-12 07:26:01,284 - pyskl - INFO - Epoch [10][1000/1281] lr: 2.474e-02, eta: 20:44:35, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7394, top5_acc: 0.9850, loss_cls: 1.2588, loss: 1.2588 2023-12-12 07:26:43,266 - pyskl - INFO - Epoch [10][1100/1281] lr: 2.473e-02, eta: 20:43:59, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7669, top5_acc: 0.9831, loss_cls: 1.1761, loss: 1.1761 2023-12-12 07:27:25,249 - pyskl - INFO - Epoch [10][1200/1281] lr: 2.473e-02, eta: 20:43:23, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7731, top5_acc: 0.9869, loss_cls: 1.1622, loss: 1.1622 2023-12-12 07:27:52,915 - pyskl - INFO - Saving checkpoint at 10 epochs 2023-12-12 07:29:00,520 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 07:29:00,584 - pyskl - INFO - top1_acc 0.7233 top5_acc 0.9769 2023-12-12 07:29:00,584 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 07:29:00,594 - pyskl - INFO - mean_acc 0.6158 2023-12-12 07:29:00,598 - pyskl - INFO - Epoch(val) [10][533] top1_acc: 0.7233, top5_acc: 0.9769, mean_class_accuracy: 0.6158 2023-12-12 07:30:01,368 - pyskl - INFO - Epoch [11][100/1281] lr: 2.472e-02, eta: 20:38:46, time: 0.608, data_time: 0.182, memory: 4120, top1_acc: 0.7562, top5_acc: 0.9869, loss_cls: 1.1942, loss: 1.1942 2023-12-12 07:30:44,419 - pyskl - INFO - Epoch [11][200/1281] lr: 2.472e-02, eta: 20:38:27, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7575, top5_acc: 0.9856, loss_cls: 1.1389, loss: 1.1389 2023-12-12 07:31:26,483 - pyskl - INFO - Epoch [11][300/1281] lr: 2.471e-02, eta: 20:37:53, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.7506, top5_acc: 0.9875, loss_cls: 1.1747, loss: 1.1747 2023-12-12 07:32:08,544 - pyskl - INFO - Epoch [11][400/1281] lr: 2.471e-02, eta: 20:37:19, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.7606, top5_acc: 0.9812, loss_cls: 1.1594, loss: 1.1594 2023-12-12 07:32:50,477 - pyskl - INFO - Epoch [11][500/1281] lr: 2.471e-02, eta: 20:36:44, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9869, loss_cls: 1.1026, loss: 1.1026 2023-12-12 07:33:32,351 - pyskl - INFO - Epoch [11][600/1281] lr: 2.470e-02, eta: 20:36:08, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7531, top5_acc: 0.9881, loss_cls: 1.2356, loss: 1.2356 2023-12-12 07:34:14,420 - pyskl - INFO - Epoch [11][700/1281] lr: 2.470e-02, eta: 20:35:34, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.7794, top5_acc: 0.9825, loss_cls: 1.1027, loss: 1.1027 2023-12-12 07:34:56,362 - pyskl - INFO - Epoch [11][800/1281] lr: 2.469e-02, eta: 20:34:58, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7788, top5_acc: 0.9781, loss_cls: 1.1491, loss: 1.1491 2023-12-12 07:35:38,346 - pyskl - INFO - Epoch [11][900/1281] lr: 2.469e-02, eta: 20:34:23, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7556, top5_acc: 0.9738, loss_cls: 1.2528, loss: 1.2528 2023-12-12 07:36:20,171 - pyskl - INFO - Epoch [11][1000/1281] lr: 2.468e-02, eta: 20:33:45, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7825, top5_acc: 0.9888, loss_cls: 1.1487, loss: 1.1487 2023-12-12 07:37:02,250 - pyskl - INFO - Epoch [11][1100/1281] lr: 2.468e-02, eta: 20:33:11, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.7550, top5_acc: 0.9869, loss_cls: 1.1871, loss: 1.1871 2023-12-12 07:37:44,246 - pyskl - INFO - Epoch [11][1200/1281] lr: 2.467e-02, eta: 20:32:36, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7694, top5_acc: 0.9819, loss_cls: 1.1878, loss: 1.1878 2023-12-12 07:38:11,782 - pyskl - INFO - Saving checkpoint at 11 epochs 2023-12-12 07:39:19,301 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 07:39:19,359 - pyskl - INFO - top1_acc 0.7196 top5_acc 0.9718 2023-12-12 07:39:19,359 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 07:39:19,366 - pyskl - INFO - mean_acc 0.6296 2023-12-12 07:39:19,368 - pyskl - INFO - Epoch(val) [11][533] top1_acc: 0.7196, top5_acc: 0.9718, mean_class_accuracy: 0.6296 2023-12-12 07:40:20,807 - pyskl - INFO - Epoch [12][100/1281] lr: 2.467e-02, eta: 20:28:29, time: 0.614, data_time: 0.184, memory: 4120, top1_acc: 0.7869, top5_acc: 0.9881, loss_cls: 1.0768, loss: 1.0768 2023-12-12 07:41:03,803 - pyskl - INFO - Epoch [12][200/1281] lr: 2.466e-02, eta: 20:28:07, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7825, top5_acc: 0.9856, loss_cls: 1.1123, loss: 1.1123 2023-12-12 07:41:46,962 - pyskl - INFO - Epoch [12][300/1281] lr: 2.466e-02, eta: 20:27:47, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7550, top5_acc: 0.9856, loss_cls: 1.1926, loss: 1.1926 2023-12-12 07:42:29,372 - pyskl - INFO - Epoch [12][400/1281] lr: 2.465e-02, eta: 20:27:17, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.7844, top5_acc: 0.9862, loss_cls: 1.1038, loss: 1.1038 2023-12-12 07:43:11,366 - pyskl - INFO - Epoch [12][500/1281] lr: 2.465e-02, eta: 20:26:42, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7756, top5_acc: 0.9844, loss_cls: 1.1578, loss: 1.1578 2023-12-12 07:43:53,234 - pyskl - INFO - Epoch [12][600/1281] lr: 2.464e-02, eta: 20:26:06, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7837, top5_acc: 0.9850, loss_cls: 1.1344, loss: 1.1344 2023-12-12 07:44:35,085 - pyskl - INFO - Epoch [12][700/1281] lr: 2.464e-02, eta: 20:25:29, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7719, top5_acc: 0.9850, loss_cls: 1.1609, loss: 1.1609 2023-12-12 07:45:17,125 - pyskl - INFO - Epoch [12][800/1281] lr: 2.463e-02, eta: 20:24:55, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7831, top5_acc: 0.9850, loss_cls: 1.1361, loss: 1.1361 2023-12-12 07:45:59,109 - pyskl - INFO - Epoch [12][900/1281] lr: 2.463e-02, eta: 20:24:19, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7725, top5_acc: 0.9862, loss_cls: 1.1478, loss: 1.1478 2023-12-12 07:46:40,978 - pyskl - INFO - Epoch [12][1000/1281] lr: 2.462e-02, eta: 20:23:43, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7844, top5_acc: 0.9888, loss_cls: 1.0756, loss: 1.0756 2023-12-12 07:47:22,945 - pyskl - INFO - Epoch [12][1100/1281] lr: 2.462e-02, eta: 20:23:07, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9812, loss_cls: 1.1312, loss: 1.1312 2023-12-12 07:48:04,888 - pyskl - INFO - Epoch [12][1200/1281] lr: 2.461e-02, eta: 20:22:31, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7881, top5_acc: 0.9788, loss_cls: 1.1229, loss: 1.1229 2023-12-12 07:48:33,214 - pyskl - INFO - Saving checkpoint at 12 epochs 2023-12-12 07:49:42,341 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 07:49:42,398 - pyskl - INFO - top1_acc 0.7543 top5_acc 0.9815 2023-12-12 07:49:42,398 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 07:49:42,404 - pyskl - INFO - mean_acc 0.6636 2023-12-12 07:49:42,408 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_9.pth was removed 2023-12-12 07:49:42,637 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. 2023-12-12 07:49:42,637 - pyskl - INFO - Best top1_acc is 0.7543 at 12 epoch. 2023-12-12 07:49:42,642 - pyskl - INFO - Epoch(val) [12][533] top1_acc: 0.7543, top5_acc: 0.9815, mean_class_accuracy: 0.6636 2023-12-12 07:50:44,005 - pyskl - INFO - Epoch [13][100/1281] lr: 2.460e-02, eta: 20:18:39, time: 0.614, data_time: 0.184, memory: 4120, top1_acc: 0.7825, top5_acc: 0.9844, loss_cls: 1.1057, loss: 1.1057 2023-12-12 07:51:26,239 - pyskl - INFO - Epoch [13][200/1281] lr: 2.460e-02, eta: 20:18:07, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8031, top5_acc: 0.9894, loss_cls: 1.0261, loss: 1.0261 2023-12-12 07:52:08,119 - pyskl - INFO - Epoch [13][300/1281] lr: 2.459e-02, eta: 20:17:31, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9875, loss_cls: 1.0856, loss: 1.0856 2023-12-12 07:52:49,939 - pyskl - INFO - Epoch [13][400/1281] lr: 2.459e-02, eta: 20:16:55, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7794, top5_acc: 0.9894, loss_cls: 1.0872, loss: 1.0872 2023-12-12 07:53:31,896 - pyskl - INFO - Epoch [13][500/1281] lr: 2.458e-02, eta: 20:16:20, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7738, top5_acc: 0.9838, loss_cls: 1.1607, loss: 1.1607 2023-12-12 07:54:13,846 - pyskl - INFO - Epoch [13][600/1281] lr: 2.458e-02, eta: 20:15:44, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7837, top5_acc: 0.9869, loss_cls: 1.1094, loss: 1.1094 2023-12-12 07:54:56,514 - pyskl - INFO - Epoch [13][700/1281] lr: 2.457e-02, eta: 20:15:17, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8013, top5_acc: 0.9881, loss_cls: 1.0163, loss: 1.0163 2023-12-12 07:55:39,594 - pyskl - INFO - Epoch [13][800/1281] lr: 2.457e-02, eta: 20:14:53, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7881, top5_acc: 0.9850, loss_cls: 1.1380, loss: 1.1380 2023-12-12 07:56:22,578 - pyskl - INFO - Epoch [13][900/1281] lr: 2.456e-02, eta: 20:14:29, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7781, top5_acc: 0.9906, loss_cls: 1.1129, loss: 1.1129 2023-12-12 07:57:05,577 - pyskl - INFO - Epoch [13][1000/1281] lr: 2.455e-02, eta: 20:14:04, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9844, loss_cls: 1.1028, loss: 1.1028 2023-12-12 07:57:48,686 - pyskl - INFO - Epoch [13][1100/1281] lr: 2.455e-02, eta: 20:13:41, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7800, top5_acc: 0.9894, loss_cls: 1.0968, loss: 1.0968 2023-12-12 07:58:31,765 - pyskl - INFO - Epoch [13][1200/1281] lr: 2.454e-02, eta: 20:13:16, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7756, top5_acc: 0.9819, loss_cls: 1.1548, loss: 1.1548 2023-12-12 07:59:01,809 - pyskl - INFO - Saving checkpoint at 13 epochs 2023-12-12 08:00:12,614 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 08:00:12,674 - pyskl - INFO - top1_acc 0.7125 top5_acc 0.9667 2023-12-12 08:00:12,674 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 08:00:12,681 - pyskl - INFO - mean_acc 0.5998 2023-12-12 08:00:12,684 - pyskl - INFO - Epoch(val) [13][533] top1_acc: 0.7125, top5_acc: 0.9667, mean_class_accuracy: 0.5998 2023-12-12 08:01:13,972 - pyskl - INFO - Epoch [14][100/1281] lr: 2.453e-02, eta: 20:09:37, time: 0.613, data_time: 0.183, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9844, loss_cls: 1.1229, loss: 1.1229 2023-12-12 08:01:55,912 - pyskl - INFO - Epoch [14][200/1281] lr: 2.453e-02, eta: 20:09:02, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9919, loss_cls: 0.9599, loss: 0.9599 2023-12-12 08:02:38,791 - pyskl - INFO - Epoch [14][300/1281] lr: 2.452e-02, eta: 20:08:36, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8056, top5_acc: 0.9806, loss_cls: 1.0560, loss: 1.0560 2023-12-12 08:03:21,901 - pyskl - INFO - Epoch [14][400/1281] lr: 2.452e-02, eta: 20:08:12, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7800, top5_acc: 0.9831, loss_cls: 1.1687, loss: 1.1687 2023-12-12 08:04:04,716 - pyskl - INFO - Epoch [14][500/1281] lr: 2.451e-02, eta: 20:07:45, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7913, top5_acc: 0.9906, loss_cls: 1.0689, loss: 1.0689 2023-12-12 08:04:46,722 - pyskl - INFO - Epoch [14][600/1281] lr: 2.451e-02, eta: 20:07:10, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7969, top5_acc: 0.9912, loss_cls: 1.0012, loss: 1.0012 2023-12-12 08:05:28,747 - pyskl - INFO - Epoch [14][700/1281] lr: 2.450e-02, eta: 20:06:34, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7806, top5_acc: 0.9819, loss_cls: 1.1252, loss: 1.1252 2023-12-12 08:06:10,596 - pyskl - INFO - Epoch [14][800/1281] lr: 2.449e-02, eta: 20:05:57, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9906, loss_cls: 1.0025, loss: 1.0025 2023-12-12 08:06:52,587 - pyskl - INFO - Epoch [14][900/1281] lr: 2.449e-02, eta: 20:05:22, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9862, loss_cls: 1.0888, loss: 1.0888 2023-12-12 08:07:34,621 - pyskl - INFO - Epoch [14][1000/1281] lr: 2.448e-02, eta: 20:04:46, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7950, top5_acc: 0.9875, loss_cls: 1.0608, loss: 1.0608 2023-12-12 08:08:16,554 - pyskl - INFO - Epoch [14][1100/1281] lr: 2.448e-02, eta: 20:04:10, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8013, top5_acc: 0.9862, loss_cls: 1.0260, loss: 1.0260 2023-12-12 08:08:58,424 - pyskl - INFO - Epoch [14][1200/1281] lr: 2.447e-02, eta: 20:03:33, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7950, top5_acc: 0.9850, loss_cls: 1.0256, loss: 1.0256 2023-12-12 08:09:28,923 - pyskl - INFO - Saving checkpoint at 14 epochs 2023-12-12 08:10:41,180 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 08:10:41,253 - pyskl - INFO - top1_acc 0.7602 top5_acc 0.9797 2023-12-12 08:10:41,253 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 08:10:41,263 - pyskl - INFO - mean_acc 0.6652 2023-12-12 08:10:41,269 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_12.pth was removed 2023-12-12 08:10:41,505 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. 2023-12-12 08:10:41,506 - pyskl - INFO - Best top1_acc is 0.7602 at 14 epoch. 2023-12-12 08:10:41,508 - pyskl - INFO - Epoch(val) [14][533] top1_acc: 0.7602, top5_acc: 0.9797, mean_class_accuracy: 0.6652 2023-12-12 08:11:42,823 - pyskl - INFO - Epoch [15][100/1281] lr: 2.446e-02, eta: 20:00:05, time: 0.613, data_time: 0.184, memory: 4120, top1_acc: 0.7913, top5_acc: 0.9900, loss_cls: 0.9872, loss: 0.9872 2023-12-12 08:12:25,956 - pyskl - INFO - Epoch [15][200/1281] lr: 2.445e-02, eta: 19:59:41, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8031, top5_acc: 0.9919, loss_cls: 1.0056, loss: 1.0056 2023-12-12 08:13:09,006 - pyskl - INFO - Epoch [15][300/1281] lr: 2.445e-02, eta: 19:59:16, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9875, loss_cls: 1.0060, loss: 1.0060 2023-12-12 08:13:52,098 - pyskl - INFO - Epoch [15][400/1281] lr: 2.444e-02, eta: 19:58:51, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9888, loss_cls: 0.9473, loss: 0.9473 2023-12-12 08:14:35,145 - pyskl - INFO - Epoch [15][500/1281] lr: 2.444e-02, eta: 19:58:25, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8025, top5_acc: 0.9800, loss_cls: 1.0605, loss: 1.0605 2023-12-12 08:15:17,585 - pyskl - INFO - Epoch [15][600/1281] lr: 2.443e-02, eta: 19:57:53, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.7950, top5_acc: 0.9894, loss_cls: 1.0435, loss: 1.0435 2023-12-12 08:15:59,450 - pyskl - INFO - Epoch [15][700/1281] lr: 2.442e-02, eta: 19:57:16, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9906, loss_cls: 0.9916, loss: 0.9916 2023-12-12 08:16:41,322 - pyskl - INFO - Epoch [15][800/1281] lr: 2.442e-02, eta: 19:56:39, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7906, top5_acc: 0.9831, loss_cls: 1.0562, loss: 1.0562 2023-12-12 08:17:23,159 - pyskl - INFO - Epoch [15][900/1281] lr: 2.441e-02, eta: 19:56:02, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7781, top5_acc: 0.9869, loss_cls: 1.0666, loss: 1.0666 2023-12-12 08:18:05,175 - pyskl - INFO - Epoch [15][1000/1281] lr: 2.441e-02, eta: 19:55:26, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7913, top5_acc: 0.9894, loss_cls: 1.0792, loss: 1.0792 2023-12-12 08:18:47,099 - pyskl - INFO - Epoch [15][1100/1281] lr: 2.440e-02, eta: 19:54:49, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7875, top5_acc: 0.9819, loss_cls: 1.0871, loss: 1.0871 2023-12-12 08:19:29,030 - pyskl - INFO - Epoch [15][1200/1281] lr: 2.439e-02, eta: 19:54:13, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9881, loss_cls: 1.0153, loss: 1.0153 2023-12-12 08:20:00,099 - pyskl - INFO - Saving checkpoint at 15 epochs 2023-12-12 08:21:12,143 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 08:21:12,208 - pyskl - INFO - top1_acc 0.7673 top5_acc 0.9804 2023-12-12 08:21:12,209 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 08:21:12,230 - pyskl - INFO - mean_acc 0.6928 2023-12-12 08:21:12,242 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_14.pth was removed 2023-12-12 08:21:12,451 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. 2023-12-12 08:21:12,451 - pyskl - INFO - Best top1_acc is 0.7673 at 15 epoch. 2023-12-12 08:21:12,454 - pyskl - INFO - Epoch(val) [15][533] top1_acc: 0.7673, top5_acc: 0.9804, mean_class_accuracy: 0.6928 2023-12-12 08:22:12,831 - pyskl - INFO - Epoch [16][100/1281] lr: 2.438e-02, eta: 19:50:47, time: 0.604, data_time: 0.185, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9862, loss_cls: 0.9606, loss: 0.9606 2023-12-12 08:22:54,855 - pyskl - INFO - Epoch [16][200/1281] lr: 2.438e-02, eta: 19:50:12, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8063, top5_acc: 0.9894, loss_cls: 0.9802, loss: 0.9802 2023-12-12 08:23:36,873 - pyskl - INFO - Epoch [16][300/1281] lr: 2.437e-02, eta: 19:49:36, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8063, top5_acc: 0.9881, loss_cls: 1.0043, loss: 1.0043 2023-12-12 08:24:18,948 - pyskl - INFO - Epoch [16][400/1281] lr: 2.436e-02, eta: 19:49:02, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9888, loss_cls: 1.0117, loss: 1.0117 2023-12-12 08:25:00,912 - pyskl - INFO - Epoch [16][500/1281] lr: 2.436e-02, eta: 19:48:26, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8075, top5_acc: 0.9881, loss_cls: 0.9878, loss: 0.9878 2023-12-12 08:25:42,890 - pyskl - INFO - Epoch [16][600/1281] lr: 2.435e-02, eta: 19:47:50, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8063, top5_acc: 0.9900, loss_cls: 1.0053, loss: 1.0053 2023-12-12 08:26:24,911 - pyskl - INFO - Epoch [16][700/1281] lr: 2.434e-02, eta: 19:47:14, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8206, top5_acc: 0.9869, loss_cls: 0.9582, loss: 0.9582 2023-12-12 08:27:06,884 - pyskl - INFO - Epoch [16][800/1281] lr: 2.434e-02, eta: 19:46:38, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8050, top5_acc: 0.9925, loss_cls: 0.9664, loss: 0.9664 2023-12-12 08:27:48,834 - pyskl - INFO - Epoch [16][900/1281] lr: 2.433e-02, eta: 19:46:02, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9925, loss_cls: 0.9621, loss: 0.9621 2023-12-12 08:28:30,760 - pyskl - INFO - Epoch [16][1000/1281] lr: 2.432e-02, eta: 19:45:25, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8100, top5_acc: 0.9862, loss_cls: 0.9762, loss: 0.9762 2023-12-12 08:29:12,733 - pyskl - INFO - Epoch [16][1100/1281] lr: 2.432e-02, eta: 19:44:49, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.7894, top5_acc: 0.9875, loss_cls: 1.0563, loss: 1.0563 2023-12-12 08:29:55,041 - pyskl - INFO - Epoch [16][1200/1281] lr: 2.431e-02, eta: 19:44:15, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8087, top5_acc: 0.9875, loss_cls: 0.9911, loss: 0.9911 2023-12-12 08:30:26,559 - pyskl - INFO - Saving checkpoint at 16 epochs 2023-12-12 08:31:38,352 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 08:31:38,435 - pyskl - INFO - top1_acc 0.7761 top5_acc 0.9728 2023-12-12 08:31:38,435 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 08:31:38,447 - pyskl - INFO - mean_acc 0.6729 2023-12-12 08:31:38,453 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_15.pth was removed 2023-12-12 08:31:38,656 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. 2023-12-12 08:31:38,656 - pyskl - INFO - Best top1_acc is 0.7761 at 16 epoch. 2023-12-12 08:31:38,660 - pyskl - INFO - Epoch(val) [16][533] top1_acc: 0.7761, top5_acc: 0.9728, mean_class_accuracy: 0.6729 2023-12-12 08:32:39,469 - pyskl - INFO - Epoch [17][100/1281] lr: 2.430e-02, eta: 19:41:03, time: 0.608, data_time: 0.189, memory: 4120, top1_acc: 0.8144, top5_acc: 0.9875, loss_cls: 0.9634, loss: 0.9634 2023-12-12 08:33:21,555 - pyskl - INFO - Epoch [17][200/1281] lr: 2.429e-02, eta: 19:40:28, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8025, top5_acc: 0.9900, loss_cls: 1.0321, loss: 1.0321 2023-12-12 08:34:03,461 - pyskl - INFO - Epoch [17][300/1281] lr: 2.428e-02, eta: 19:39:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9900, loss_cls: 0.9183, loss: 0.9183 2023-12-12 08:34:45,490 - pyskl - INFO - Epoch [17][400/1281] lr: 2.428e-02, eta: 19:39:16, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8294, top5_acc: 0.9888, loss_cls: 0.9022, loss: 0.9022 2023-12-12 08:35:28,436 - pyskl - INFO - Epoch [17][500/1281] lr: 2.427e-02, eta: 19:38:48, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8275, top5_acc: 0.9912, loss_cls: 0.9123, loss: 0.9123 2023-12-12 08:36:11,431 - pyskl - INFO - Epoch [17][600/1281] lr: 2.426e-02, eta: 19:38:20, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9906, loss_cls: 0.9217, loss: 0.9217 2023-12-12 08:36:54,411 - pyskl - INFO - Epoch [17][700/1281] lr: 2.426e-02, eta: 19:37:52, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8037, top5_acc: 0.9894, loss_cls: 0.9669, loss: 0.9669 2023-12-12 08:37:37,484 - pyskl - INFO - Epoch [17][800/1281] lr: 2.425e-02, eta: 19:37:25, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9875, loss_cls: 0.9845, loss: 0.9845 2023-12-12 08:38:20,502 - pyskl - INFO - Epoch [17][900/1281] lr: 2.424e-02, eta: 19:36:57, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9944, loss_cls: 0.9234, loss: 0.9234 2023-12-12 08:39:03,571 - pyskl - INFO - Epoch [17][1000/1281] lr: 2.424e-02, eta: 19:36:29, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9894, loss_cls: 0.9620, loss: 0.9620 2023-12-12 08:39:46,590 - pyskl - INFO - Epoch [17][1100/1281] lr: 2.423e-02, eta: 19:36:01, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8031, top5_acc: 0.9900, loss_cls: 0.9855, loss: 0.9855 2023-12-12 08:40:28,708 - pyskl - INFO - Epoch [17][1200/1281] lr: 2.422e-02, eta: 19:35:25, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8031, top5_acc: 0.9919, loss_cls: 0.9374, loss: 0.9374 2023-12-12 08:40:58,706 - pyskl - INFO - Saving checkpoint at 17 epochs 2023-12-12 08:42:09,410 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 08:42:09,483 - pyskl - INFO - top1_acc 0.7959 top5_acc 0.9857 2023-12-12 08:42:09,483 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 08:42:09,491 - pyskl - INFO - mean_acc 0.7132 2023-12-12 08:42:09,496 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_16.pth was removed 2023-12-12 08:42:09,689 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. 2023-12-12 08:42:09,689 - pyskl - INFO - Best top1_acc is 0.7959 at 17 epoch. 2023-12-12 08:42:09,692 - pyskl - INFO - Epoch(val) [17][533] top1_acc: 0.7959, top5_acc: 0.9857, mean_class_accuracy: 0.7132 2023-12-12 08:43:10,204 - pyskl - INFO - Epoch [18][100/1281] lr: 2.421e-02, eta: 19:32:19, time: 0.605, data_time: 0.186, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9925, loss_cls: 0.8652, loss: 0.8652 2023-12-12 08:43:52,157 - pyskl - INFO - Epoch [18][200/1281] lr: 2.420e-02, eta: 19:31:42, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8025, top5_acc: 0.9912, loss_cls: 0.9797, loss: 0.9797 2023-12-12 08:44:34,174 - pyskl - INFO - Epoch [18][300/1281] lr: 2.419e-02, eta: 19:31:06, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9912, loss_cls: 0.8821, loss: 0.8821 2023-12-12 08:45:16,117 - pyskl - INFO - Epoch [18][400/1281] lr: 2.419e-02, eta: 19:30:30, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8050, top5_acc: 0.9881, loss_cls: 0.9811, loss: 0.9811 2023-12-12 08:45:57,967 - pyskl - INFO - Epoch [18][500/1281] lr: 2.418e-02, eta: 19:29:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9900, loss_cls: 0.9000, loss: 0.9000 2023-12-12 08:46:39,893 - pyskl - INFO - Epoch [18][600/1281] lr: 2.417e-02, eta: 19:29:16, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9862, loss_cls: 0.8823, loss: 0.8823 2023-12-12 08:47:21,810 - pyskl - INFO - Epoch [18][700/1281] lr: 2.417e-02, eta: 19:28:39, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8100, top5_acc: 0.9931, loss_cls: 0.9602, loss: 0.9602 2023-12-12 08:48:03,701 - pyskl - INFO - Epoch [18][800/1281] lr: 2.416e-02, eta: 19:28:02, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9900, loss_cls: 0.9883, loss: 0.9883 2023-12-12 08:48:45,678 - pyskl - INFO - Epoch [18][900/1281] lr: 2.415e-02, eta: 19:27:25, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9900, loss_cls: 0.9341, loss: 0.9341 2023-12-12 08:49:27,556 - pyskl - INFO - Epoch [18][1000/1281] lr: 2.414e-02, eta: 19:26:48, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9906, loss_cls: 0.9065, loss: 0.9065 2023-12-12 08:50:09,534 - pyskl - INFO - Epoch [18][1100/1281] lr: 2.414e-02, eta: 19:26:11, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8037, top5_acc: 0.9881, loss_cls: 1.0068, loss: 1.0068 2023-12-12 08:50:51,511 - pyskl - INFO - Epoch [18][1200/1281] lr: 2.413e-02, eta: 19:25:35, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9900, loss_cls: 0.8943, loss: 0.8943 2023-12-12 08:51:22,171 - pyskl - INFO - Saving checkpoint at 18 epochs 2023-12-12 08:52:33,599 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 08:52:33,664 - pyskl - INFO - top1_acc 0.7665 top5_acc 0.9840 2023-12-12 08:52:33,664 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 08:52:33,675 - pyskl - INFO - mean_acc 0.7065 2023-12-12 08:52:33,679 - pyskl - INFO - Epoch(val) [18][533] top1_acc: 0.7665, top5_acc: 0.9840, mean_class_accuracy: 0.7065 2023-12-12 08:53:34,239 - pyskl - INFO - Epoch [19][100/1281] lr: 2.411e-02, eta: 19:22:36, time: 0.606, data_time: 0.187, memory: 4120, top1_acc: 0.8050, top5_acc: 0.9919, loss_cls: 0.9451, loss: 0.9451 2023-12-12 08:54:16,252 - pyskl - INFO - Epoch [19][200/1281] lr: 2.411e-02, eta: 19:22:00, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8225, top5_acc: 0.9925, loss_cls: 0.8844, loss: 0.8844 2023-12-12 08:54:58,204 - pyskl - INFO - Epoch [19][300/1281] lr: 2.410e-02, eta: 19:21:23, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9869, loss_cls: 0.9596, loss: 0.9596 2023-12-12 08:55:40,150 - pyskl - INFO - Epoch [19][400/1281] lr: 2.409e-02, eta: 19:20:47, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8150, top5_acc: 0.9950, loss_cls: 0.9253, loss: 0.9253 2023-12-12 08:56:22,049 - pyskl - INFO - Epoch [19][500/1281] lr: 2.408e-02, eta: 19:20:10, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9881, loss_cls: 0.8967, loss: 0.8967 2023-12-12 08:57:04,037 - pyskl - INFO - Epoch [19][600/1281] lr: 2.408e-02, eta: 19:19:34, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9919, loss_cls: 0.8981, loss: 0.8981 2023-12-12 08:57:45,997 - pyskl - INFO - Epoch [19][700/1281] lr: 2.407e-02, eta: 19:18:57, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8206, top5_acc: 0.9881, loss_cls: 0.9244, loss: 0.9244 2023-12-12 08:58:27,970 - pyskl - INFO - Epoch [19][800/1281] lr: 2.406e-02, eta: 19:18:21, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9900, loss_cls: 0.9141, loss: 0.9141 2023-12-12 08:59:09,943 - pyskl - INFO - Epoch [19][900/1281] lr: 2.405e-02, eta: 19:17:44, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9875, loss_cls: 0.8988, loss: 0.8988 2023-12-12 08:59:51,807 - pyskl - INFO - Epoch [19][1000/1281] lr: 2.405e-02, eta: 19:17:07, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9906, loss_cls: 0.8998, loss: 0.8998 2023-12-12 09:00:34,707 - pyskl - INFO - Epoch [19][1100/1281] lr: 2.404e-02, eta: 19:16:36, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7969, top5_acc: 0.9850, loss_cls: 1.0374, loss: 1.0374 2023-12-12 09:01:17,731 - pyskl - INFO - Epoch [19][1200/1281] lr: 2.403e-02, eta: 19:16:07, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8231, top5_acc: 0.9900, loss_cls: 0.9546, loss: 0.9546 2023-12-12 09:01:49,326 - pyskl - INFO - Saving checkpoint at 19 epochs 2023-12-12 09:03:01,527 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 09:03:01,585 - pyskl - INFO - top1_acc 0.7851 top5_acc 0.9816 2023-12-12 09:03:01,585 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 09:03:01,592 - pyskl - INFO - mean_acc 0.6946 2023-12-12 09:03:01,594 - pyskl - INFO - Epoch(val) [19][533] top1_acc: 0.7851, top5_acc: 0.9816, mean_class_accuracy: 0.6946 2023-12-12 09:04:02,808 - pyskl - INFO - Epoch [20][100/1281] lr: 2.402e-02, eta: 19:13:19, time: 0.612, data_time: 0.183, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9931, loss_cls: 0.8385, loss: 0.8385 2023-12-12 09:04:44,846 - pyskl - INFO - Epoch [20][200/1281] lr: 2.401e-02, eta: 19:12:43, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9894, loss_cls: 0.8375, loss: 0.8375 2023-12-12 09:05:26,804 - pyskl - INFO - Epoch [20][300/1281] lr: 2.400e-02, eta: 19:12:07, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9888, loss_cls: 0.9726, loss: 0.9726 2023-12-12 09:06:08,874 - pyskl - INFO - Epoch [20][400/1281] lr: 2.399e-02, eta: 19:11:31, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9938, loss_cls: 0.8682, loss: 0.8682 2023-12-12 09:06:51,760 - pyskl - INFO - Epoch [20][500/1281] lr: 2.398e-02, eta: 19:11:00, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8275, top5_acc: 0.9956, loss_cls: 0.8689, loss: 0.8689 2023-12-12 09:07:34,863 - pyskl - INFO - Epoch [20][600/1281] lr: 2.398e-02, eta: 19:10:31, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9919, loss_cls: 0.8510, loss: 0.8510 2023-12-12 09:08:17,924 - pyskl - INFO - Epoch [20][700/1281] lr: 2.397e-02, eta: 19:10:02, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9925, loss_cls: 0.8181, loss: 0.8181 2023-12-12 09:09:00,961 - pyskl - INFO - Epoch [20][800/1281] lr: 2.396e-02, eta: 19:09:32, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9912, loss_cls: 0.8569, loss: 0.8569 2023-12-12 09:09:43,919 - pyskl - INFO - Epoch [20][900/1281] lr: 2.395e-02, eta: 19:09:02, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8144, top5_acc: 0.9888, loss_cls: 0.9486, loss: 0.9486 2023-12-12 09:10:26,863 - pyskl - INFO - Epoch [20][1000/1281] lr: 2.394e-02, eta: 19:08:31, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8100, top5_acc: 0.9894, loss_cls: 0.9608, loss: 0.9608 2023-12-12 09:11:08,839 - pyskl - INFO - Epoch [20][1100/1281] lr: 2.393e-02, eta: 19:07:54, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9900, loss_cls: 0.8199, loss: 0.8199 2023-12-12 09:11:50,793 - pyskl - INFO - Epoch [20][1200/1281] lr: 2.393e-02, eta: 19:07:17, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8294, top5_acc: 0.9919, loss_cls: 0.9141, loss: 0.9141 2023-12-12 09:12:22,554 - pyskl - INFO - Saving checkpoint at 20 epochs 2023-12-12 09:13:35,150 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 09:13:35,223 - pyskl - INFO - top1_acc 0.7985 top5_acc 0.9808 2023-12-12 09:13:35,223 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 09:13:35,231 - pyskl - INFO - mean_acc 0.7197 2023-12-12 09:13:35,236 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_17.pth was removed 2023-12-12 09:13:35,489 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. 2023-12-12 09:13:35,489 - pyskl - INFO - Best top1_acc is 0.7985 at 20 epoch. 2023-12-12 09:13:35,492 - pyskl - INFO - Epoch(val) [20][533] top1_acc: 0.7985, top5_acc: 0.9808, mean_class_accuracy: 0.7197 2023-12-12 09:14:35,744 - pyskl - INFO - Epoch [21][100/1281] lr: 2.391e-02, eta: 19:04:28, time: 0.602, data_time: 0.182, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9944, loss_cls: 0.7654, loss: 0.7654 2023-12-12 09:15:17,718 - pyskl - INFO - Epoch [21][200/1281] lr: 2.390e-02, eta: 19:03:52, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9900, loss_cls: 0.8486, loss: 0.8486 2023-12-12 09:15:59,704 - pyskl - INFO - Epoch [21][300/1281] lr: 2.389e-02, eta: 19:03:15, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9925, loss_cls: 0.8539, loss: 0.8539 2023-12-12 09:16:41,718 - pyskl - INFO - Epoch [21][400/1281] lr: 2.389e-02, eta: 19:02:39, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8225, top5_acc: 0.9881, loss_cls: 0.9536, loss: 0.9536 2023-12-12 09:17:23,693 - pyskl - INFO - Epoch [21][500/1281] lr: 2.388e-02, eta: 19:02:02, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9875, loss_cls: 0.8780, loss: 0.8780 2023-12-12 09:18:05,650 - pyskl - INFO - Epoch [21][600/1281] lr: 2.387e-02, eta: 19:01:25, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9919, loss_cls: 0.8317, loss: 0.8317 2023-12-12 09:18:47,559 - pyskl - INFO - Epoch [21][700/1281] lr: 2.386e-02, eta: 19:00:48, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9919, loss_cls: 0.8944, loss: 0.8944 2023-12-12 09:19:29,497 - pyskl - INFO - Epoch [21][800/1281] lr: 2.385e-02, eta: 19:00:10, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9881, loss_cls: 0.8916, loss: 0.8916 2023-12-12 09:20:11,459 - pyskl - INFO - Epoch [21][900/1281] lr: 2.384e-02, eta: 18:59:33, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8194, top5_acc: 0.9888, loss_cls: 0.9306, loss: 0.9306 2023-12-12 09:20:53,417 - pyskl - INFO - Epoch [21][1000/1281] lr: 2.383e-02, eta: 18:58:56, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9956, loss_cls: 0.8490, loss: 0.8490 2023-12-12 09:21:35,399 - pyskl - INFO - Epoch [21][1100/1281] lr: 2.383e-02, eta: 18:58:19, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9869, loss_cls: 0.8309, loss: 0.8309 2023-12-12 09:22:17,426 - pyskl - INFO - Epoch [21][1200/1281] lr: 2.382e-02, eta: 18:57:43, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9888, loss_cls: 0.8897, loss: 0.8897 2023-12-12 09:22:49,785 - pyskl - INFO - Saving checkpoint at 21 epochs 2023-12-12 09:24:03,388 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 09:24:03,448 - pyskl - INFO - top1_acc 0.7680 top5_acc 0.9818 2023-12-12 09:24:03,448 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 09:24:03,457 - pyskl - INFO - mean_acc 0.6912 2023-12-12 09:24:03,459 - pyskl - INFO - Epoch(val) [21][533] top1_acc: 0.7680, top5_acc: 0.9818, mean_class_accuracy: 0.6912 2023-12-12 09:25:03,395 - pyskl - INFO - Epoch [22][100/1281] lr: 2.380e-02, eta: 18:54:57, time: 0.599, data_time: 0.180, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9956, loss_cls: 0.7938, loss: 0.7938 2023-12-12 09:25:45,281 - pyskl - INFO - Epoch [22][200/1281] lr: 2.379e-02, eta: 18:54:20, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9944, loss_cls: 0.8367, loss: 0.8367 2023-12-12 09:26:27,278 - pyskl - INFO - Epoch [22][300/1281] lr: 2.378e-02, eta: 18:53:43, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9944, loss_cls: 0.8221, loss: 0.8221 2023-12-12 09:27:09,198 - pyskl - INFO - Epoch [22][400/1281] lr: 2.378e-02, eta: 18:53:06, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9906, loss_cls: 0.8692, loss: 0.8692 2023-12-12 09:27:51,131 - pyskl - INFO - Epoch [22][500/1281] lr: 2.377e-02, eta: 18:52:29, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9956, loss_cls: 0.7476, loss: 0.7476 2023-12-12 09:28:33,130 - pyskl - INFO - Epoch [22][600/1281] lr: 2.376e-02, eta: 18:51:52, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9912, loss_cls: 0.9346, loss: 0.9346 2023-12-12 09:29:15,645 - pyskl - INFO - Epoch [22][700/1281] lr: 2.375e-02, eta: 18:51:19, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9856, loss_cls: 0.8594, loss: 0.8594 2023-12-12 09:29:58,683 - pyskl - INFO - Epoch [22][800/1281] lr: 2.374e-02, eta: 18:50:48, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9906, loss_cls: 0.8239, loss: 0.8239 2023-12-12 09:30:41,687 - pyskl - INFO - Epoch [22][900/1281] lr: 2.373e-02, eta: 18:50:17, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9900, loss_cls: 0.8365, loss: 0.8365 2023-12-12 09:31:24,655 - pyskl - INFO - Epoch [22][1000/1281] lr: 2.372e-02, eta: 18:49:46, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9869, loss_cls: 0.9292, loss: 0.9292 2023-12-12 09:32:07,685 - pyskl - INFO - Epoch [22][1100/1281] lr: 2.371e-02, eta: 18:49:15, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9912, loss_cls: 0.9329, loss: 0.9329 2023-12-12 09:32:50,683 - pyskl - INFO - Epoch [22][1200/1281] lr: 2.370e-02, eta: 18:48:44, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9931, loss_cls: 0.8591, loss: 0.8591 2023-12-12 09:33:23,504 - pyskl - INFO - Saving checkpoint at 22 epochs 2023-12-12 09:34:37,989 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 09:34:38,047 - pyskl - INFO - top1_acc 0.8015 top5_acc 0.9812 2023-12-12 09:34:38,048 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 09:34:38,057 - pyskl - INFO - mean_acc 0.7310 2023-12-12 09:34:38,063 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_20.pth was removed 2023-12-12 09:34:38,265 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. 2023-12-12 09:34:38,265 - pyskl - INFO - Best top1_acc is 0.8015 at 22 epoch. 2023-12-12 09:34:38,268 - pyskl - INFO - Epoch(val) [22][533] top1_acc: 0.8015, top5_acc: 0.9812, mean_class_accuracy: 0.7310 2023-12-12 09:35:38,249 - pyskl - INFO - Epoch [23][100/1281] lr: 2.369e-02, eta: 18:46:04, time: 0.600, data_time: 0.182, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9931, loss_cls: 0.8219, loss: 0.8219 2023-12-12 09:36:20,160 - pyskl - INFO - Epoch [23][200/1281] lr: 2.368e-02, eta: 18:45:26, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9950, loss_cls: 0.6939, loss: 0.6939 2023-12-12 09:37:02,179 - pyskl - INFO - Epoch [23][300/1281] lr: 2.367e-02, eta: 18:44:50, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8206, top5_acc: 0.9950, loss_cls: 0.8832, loss: 0.8832 2023-12-12 09:37:44,147 - pyskl - INFO - Epoch [23][400/1281] lr: 2.366e-02, eta: 18:44:12, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9931, loss_cls: 0.7720, loss: 0.7720 2023-12-12 09:38:26,041 - pyskl - INFO - Epoch [23][500/1281] lr: 2.365e-02, eta: 18:43:35, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8400, top5_acc: 0.9912, loss_cls: 0.8641, loss: 0.8641 2023-12-12 09:39:07,950 - pyskl - INFO - Epoch [23][600/1281] lr: 2.364e-02, eta: 18:42:57, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9975, loss_cls: 0.8064, loss: 0.8064 2023-12-12 09:39:50,013 - pyskl - INFO - Epoch [23][700/1281] lr: 2.363e-02, eta: 18:42:21, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9919, loss_cls: 0.8886, loss: 0.8886 2023-12-12 09:40:31,990 - pyskl - INFO - Epoch [23][800/1281] lr: 2.362e-02, eta: 18:41:44, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9938, loss_cls: 0.8075, loss: 0.8075 2023-12-12 09:41:13,909 - pyskl - INFO - Epoch [23][900/1281] lr: 2.361e-02, eta: 18:41:06, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9919, loss_cls: 0.8129, loss: 0.8129 2023-12-12 09:41:55,854 - pyskl - INFO - Epoch [23][1000/1281] lr: 2.360e-02, eta: 18:40:29, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9906, loss_cls: 0.8339, loss: 0.8339 2023-12-12 09:42:37,904 - pyskl - INFO - Epoch [23][1100/1281] lr: 2.359e-02, eta: 18:39:52, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9900, loss_cls: 0.8898, loss: 0.8898 2023-12-12 09:43:19,875 - pyskl - INFO - Epoch [23][1200/1281] lr: 2.359e-02, eta: 18:39:15, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9912, loss_cls: 0.8201, loss: 0.8201 2023-12-12 09:43:53,654 - pyskl - INFO - Saving checkpoint at 23 epochs 2023-12-12 09:45:09,192 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 09:45:09,264 - pyskl - INFO - top1_acc 0.8100 top5_acc 0.9843 2023-12-12 09:45:09,264 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 09:45:09,271 - pyskl - INFO - mean_acc 0.7354 2023-12-12 09:45:09,276 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_22.pth was removed 2023-12-12 09:45:09,514 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. 2023-12-12 09:45:09,514 - pyskl - INFO - Best top1_acc is 0.8100 at 23 epoch. 2023-12-12 09:45:09,517 - pyskl - INFO - Epoch(val) [23][533] top1_acc: 0.8100, top5_acc: 0.9843, mean_class_accuracy: 0.7354 2023-12-12 09:46:10,997 - pyskl - INFO - Epoch [24][100/1281] lr: 2.357e-02, eta: 18:36:47, time: 0.615, data_time: 0.185, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9919, loss_cls: 0.7432, loss: 0.7432 2023-12-12 09:46:53,992 - pyskl - INFO - Epoch [24][200/1281] lr: 2.356e-02, eta: 18:36:16, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8400, top5_acc: 0.9912, loss_cls: 0.8392, loss: 0.8392 2023-12-12 09:47:37,079 - pyskl - INFO - Epoch [24][300/1281] lr: 2.355e-02, eta: 18:35:45, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9956, loss_cls: 0.7898, loss: 0.7898 2023-12-12 09:48:20,094 - pyskl - INFO - Epoch [24][400/1281] lr: 2.354e-02, eta: 18:35:13, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9944, loss_cls: 0.8236, loss: 0.8236 2023-12-12 09:49:03,057 - pyskl - INFO - Epoch [24][500/1281] lr: 2.353e-02, eta: 18:34:42, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9925, loss_cls: 0.7943, loss: 0.7943 2023-12-12 09:49:46,142 - pyskl - INFO - Epoch [24][600/1281] lr: 2.352e-02, eta: 18:34:10, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9838, loss_cls: 0.8886, loss: 0.8886 2023-12-12 09:50:29,187 - pyskl - INFO - Epoch [24][700/1281] lr: 2.351e-02, eta: 18:33:39, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9912, loss_cls: 0.7680, loss: 0.7680 2023-12-12 09:51:12,324 - pyskl - INFO - Epoch [24][800/1281] lr: 2.350e-02, eta: 18:33:08, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9944, loss_cls: 0.7871, loss: 0.7871 2023-12-12 09:51:55,398 - pyskl - INFO - Epoch [24][900/1281] lr: 2.349e-02, eta: 18:32:36, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9931, loss_cls: 0.8338, loss: 0.8338 2023-12-12 09:52:37,371 - pyskl - INFO - Epoch [24][1000/1281] lr: 2.348e-02, eta: 18:31:58, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9944, loss_cls: 0.8008, loss: 0.8008 2023-12-12 09:53:19,495 - pyskl - INFO - Epoch [24][1100/1281] lr: 2.347e-02, eta: 18:31:22, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9912, loss_cls: 0.8708, loss: 0.8708 2023-12-12 09:54:01,446 - pyskl - INFO - Epoch [24][1200/1281] lr: 2.346e-02, eta: 18:30:44, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9931, loss_cls: 0.8246, loss: 0.8246 2023-12-12 09:54:35,489 - pyskl - INFO - Saving checkpoint at 24 epochs 2023-12-12 09:55:51,315 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 09:55:51,372 - pyskl - INFO - top1_acc 0.7696 top5_acc 0.9758 2023-12-12 09:55:51,372 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 09:55:51,380 - pyskl - INFO - mean_acc 0.7020 2023-12-12 09:55:51,382 - pyskl - INFO - Epoch(val) [24][533] top1_acc: 0.7696, top5_acc: 0.9758, mean_class_accuracy: 0.7020 2023-12-12 09:56:51,967 - pyskl - INFO - Epoch [25][100/1281] lr: 2.344e-02, eta: 18:28:16, time: 0.606, data_time: 0.187, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9950, loss_cls: 0.8141, loss: 0.8141 2023-12-12 09:57:33,994 - pyskl - INFO - Epoch [25][200/1281] lr: 2.343e-02, eta: 18:27:39, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9938, loss_cls: 0.8087, loss: 0.8087 2023-12-12 09:58:15,939 - pyskl - INFO - Epoch [25][300/1281] lr: 2.342e-02, eta: 18:27:01, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9956, loss_cls: 0.7873, loss: 0.7873 2023-12-12 09:58:57,868 - pyskl - INFO - Epoch [25][400/1281] lr: 2.341e-02, eta: 18:26:23, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9912, loss_cls: 0.7594, loss: 0.7594 2023-12-12 09:59:39,681 - pyskl - INFO - Epoch [25][500/1281] lr: 2.340e-02, eta: 18:25:45, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9938, loss_cls: 0.7837, loss: 0.7837 2023-12-12 10:00:21,679 - pyskl - INFO - Epoch [25][600/1281] lr: 2.339e-02, eta: 18:25:08, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9925, loss_cls: 0.7856, loss: 0.7856 2023-12-12 10:01:03,656 - pyskl - INFO - Epoch [25][700/1281] lr: 2.338e-02, eta: 18:24:30, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9950, loss_cls: 0.7533, loss: 0.7533 2023-12-12 10:01:45,543 - pyskl - INFO - Epoch [25][800/1281] lr: 2.337e-02, eta: 18:23:52, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9944, loss_cls: 0.7507, loss: 0.7507 2023-12-12 10:02:27,469 - pyskl - INFO - Epoch [25][900/1281] lr: 2.336e-02, eta: 18:23:15, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9931, loss_cls: 0.8565, loss: 0.8565 2023-12-12 10:03:09,271 - pyskl - INFO - Epoch [25][1000/1281] lr: 2.335e-02, eta: 18:22:36, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9925, loss_cls: 0.8290, loss: 0.8290 2023-12-12 10:03:51,200 - pyskl - INFO - Epoch [25][1100/1281] lr: 2.334e-02, eta: 18:21:58, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9894, loss_cls: 0.7789, loss: 0.7789 2023-12-12 10:04:33,145 - pyskl - INFO - Epoch [25][1200/1281] lr: 2.333e-02, eta: 18:21:21, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9894, loss_cls: 0.8423, loss: 0.8423 2023-12-12 10:05:07,526 - pyskl - INFO - Saving checkpoint at 25 epochs 2023-12-12 10:06:23,460 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 10:06:23,523 - pyskl - INFO - top1_acc 0.8100 top5_acc 0.9822 2023-12-12 10:06:23,523 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 10:06:23,538 - pyskl - INFO - mean_acc 0.7101 2023-12-12 10:06:23,546 - pyskl - INFO - Epoch(val) [25][533] top1_acc: 0.8100, top5_acc: 0.9822, mean_class_accuracy: 0.7101 2023-12-12 10:07:24,418 - pyskl - INFO - Epoch [26][100/1281] lr: 2.332e-02, eta: 18:18:57, time: 0.609, data_time: 0.190, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9944, loss_cls: 0.7499, loss: 0.7499 2023-12-12 10:08:06,314 - pyskl - INFO - Epoch [26][200/1281] lr: 2.330e-02, eta: 18:18:20, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9931, loss_cls: 0.7423, loss: 0.7423 2023-12-12 10:08:48,302 - pyskl - INFO - Epoch [26][300/1281] lr: 2.329e-02, eta: 18:17:42, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9969, loss_cls: 0.6758, loss: 0.6758 2023-12-12 10:09:30,860 - pyskl - INFO - Epoch [26][400/1281] lr: 2.328e-02, eta: 18:17:08, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9956, loss_cls: 0.7523, loss: 0.7523 2023-12-12 10:10:13,779 - pyskl - INFO - Epoch [26][500/1281] lr: 2.327e-02, eta: 18:16:35, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9881, loss_cls: 0.8560, loss: 0.8560 2023-12-12 10:10:56,822 - pyskl - INFO - Epoch [26][600/1281] lr: 2.326e-02, eta: 18:16:03, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9925, loss_cls: 0.7721, loss: 0.7721 2023-12-12 10:11:39,676 - pyskl - INFO - Epoch [26][700/1281] lr: 2.325e-02, eta: 18:15:29, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9956, loss_cls: 0.7390, loss: 0.7390 2023-12-12 10:12:22,682 - pyskl - INFO - Epoch [26][800/1281] lr: 2.324e-02, eta: 18:14:57, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9888, loss_cls: 0.8160, loss: 0.8160 2023-12-12 10:13:05,489 - pyskl - INFO - Epoch [26][900/1281] lr: 2.323e-02, eta: 18:14:23, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9912, loss_cls: 0.7701, loss: 0.7701 2023-12-12 10:13:48,568 - pyskl - INFO - Epoch [26][1000/1281] lr: 2.322e-02, eta: 18:13:51, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9925, loss_cls: 0.7703, loss: 0.7703 2023-12-12 10:14:31,540 - pyskl - INFO - Epoch [26][1100/1281] lr: 2.321e-02, eta: 18:13:18, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9931, loss_cls: 0.7943, loss: 0.7943 2023-12-12 10:15:14,252 - pyskl - INFO - Epoch [26][1200/1281] lr: 2.320e-02, eta: 18:12:43, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9900, loss_cls: 0.7958, loss: 0.7958 2023-12-12 10:15:48,647 - pyskl - INFO - Saving checkpoint at 26 epochs 2023-12-12 10:17:04,651 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 10:17:04,711 - pyskl - INFO - top1_acc 0.8229 top5_acc 0.9867 2023-12-12 10:17:04,711 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 10:17:04,723 - pyskl - INFO - mean_acc 0.7373 2023-12-12 10:17:04,732 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_23.pth was removed 2023-12-12 10:17:04,935 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. 2023-12-12 10:17:04,935 - pyskl - INFO - Best top1_acc is 0.8229 at 26 epoch. 2023-12-12 10:17:04,938 - pyskl - INFO - Epoch(val) [26][533] top1_acc: 0.8229, top5_acc: 0.9867, mean_class_accuracy: 0.7373 2023-12-12 10:18:06,020 - pyskl - INFO - Epoch [27][100/1281] lr: 2.318e-02, eta: 18:10:24, time: 0.611, data_time: 0.186, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9950, loss_cls: 0.6774, loss: 0.6774 2023-12-12 10:18:47,981 - pyskl - INFO - Epoch [27][200/1281] lr: 2.317e-02, eta: 18:09:46, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9938, loss_cls: 0.6725, loss: 0.6725 2023-12-12 10:19:29,907 - pyskl - INFO - Epoch [27][300/1281] lr: 2.316e-02, eta: 18:09:09, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9962, loss_cls: 0.7267, loss: 0.7267 2023-12-12 10:20:11,901 - pyskl - INFO - Epoch [27][400/1281] lr: 2.315e-02, eta: 18:08:31, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9919, loss_cls: 0.8418, loss: 0.8418 2023-12-12 10:20:53,809 - pyskl - INFO - Epoch [27][500/1281] lr: 2.314e-02, eta: 18:07:53, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9944, loss_cls: 0.7748, loss: 0.7748 2023-12-12 10:21:35,669 - pyskl - INFO - Epoch [27][600/1281] lr: 2.313e-02, eta: 18:07:15, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9925, loss_cls: 0.7353, loss: 0.7353 2023-12-12 10:22:17,591 - pyskl - INFO - Epoch [27][700/1281] lr: 2.312e-02, eta: 18:06:37, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9944, loss_cls: 0.7332, loss: 0.7332 2023-12-12 10:22:59,563 - pyskl - INFO - Epoch [27][800/1281] lr: 2.311e-02, eta: 18:05:59, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9919, loss_cls: 0.7865, loss: 0.7865 2023-12-12 10:23:41,523 - pyskl - INFO - Epoch [27][900/1281] lr: 2.310e-02, eta: 18:05:21, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9925, loss_cls: 0.7618, loss: 0.7618 2023-12-12 10:24:23,573 - pyskl - INFO - Epoch [27][1000/1281] lr: 2.308e-02, eta: 18:04:44, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9894, loss_cls: 0.8046, loss: 0.8046 2023-12-12 10:25:05,957 - pyskl - INFO - Epoch [27][1100/1281] lr: 2.307e-02, eta: 18:04:08, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9944, loss_cls: 0.7733, loss: 0.7733 2023-12-12 10:25:48,714 - pyskl - INFO - Epoch [27][1200/1281] lr: 2.306e-02, eta: 18:03:33, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9950, loss_cls: 0.7570, loss: 0.7570 2023-12-12 10:26:22,947 - pyskl - INFO - Saving checkpoint at 27 epochs 2023-12-12 10:27:39,009 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 10:27:39,078 - pyskl - INFO - top1_acc 0.7957 top5_acc 0.9784 2023-12-12 10:27:39,078 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 10:27:39,086 - pyskl - INFO - mean_acc 0.7259 2023-12-12 10:27:39,087 - pyskl - INFO - Epoch(val) [27][533] top1_acc: 0.7957, top5_acc: 0.9784, mean_class_accuracy: 0.7259 2023-12-12 10:28:39,585 - pyskl - INFO - Epoch [28][100/1281] lr: 2.304e-02, eta: 18:01:14, time: 0.605, data_time: 0.185, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9931, loss_cls: 0.8022, loss: 0.8022 2023-12-12 10:29:21,457 - pyskl - INFO - Epoch [28][200/1281] lr: 2.303e-02, eta: 18:00:36, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9962, loss_cls: 0.6880, loss: 0.6880 2023-12-12 10:30:03,437 - pyskl - INFO - Epoch [28][300/1281] lr: 2.302e-02, eta: 17:59:59, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9938, loss_cls: 0.7144, loss: 0.7144 2023-12-12 10:30:45,388 - pyskl - INFO - Epoch [28][400/1281] lr: 2.301e-02, eta: 17:59:21, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9969, loss_cls: 0.7526, loss: 0.7526 2023-12-12 10:31:27,237 - pyskl - INFO - Epoch [28][500/1281] lr: 2.300e-02, eta: 17:58:42, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9950, loss_cls: 0.7595, loss: 0.7595 2023-12-12 10:32:09,175 - pyskl - INFO - Epoch [28][600/1281] lr: 2.299e-02, eta: 17:58:04, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9900, loss_cls: 0.7944, loss: 0.7944 2023-12-12 10:32:51,225 - pyskl - INFO - Epoch [28][700/1281] lr: 2.298e-02, eta: 17:57:27, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9938, loss_cls: 0.7612, loss: 0.7612 2023-12-12 10:33:33,175 - pyskl - INFO - Epoch [28][800/1281] lr: 2.297e-02, eta: 17:56:49, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9881, loss_cls: 0.8286, loss: 0.8286 2023-12-12 10:34:15,648 - pyskl - INFO - Epoch [28][900/1281] lr: 2.295e-02, eta: 17:56:13, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9956, loss_cls: 0.7256, loss: 0.7256 2023-12-12 10:34:58,274 - pyskl - INFO - Epoch [28][1000/1281] lr: 2.294e-02, eta: 17:55:38, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9944, loss_cls: 0.7753, loss: 0.7753 2023-12-12 10:35:40,209 - pyskl - INFO - Epoch [28][1100/1281] lr: 2.293e-02, eta: 17:55:00, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9938, loss_cls: 0.7973, loss: 0.7973 2023-12-12 10:36:23,118 - pyskl - INFO - Epoch [28][1200/1281] lr: 2.292e-02, eta: 17:54:26, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9894, loss_cls: 0.7945, loss: 0.7945 2023-12-12 10:36:58,657 - pyskl - INFO - Saving checkpoint at 28 epochs 2023-12-12 10:38:15,525 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 10:38:15,584 - pyskl - INFO - top1_acc 0.7972 top5_acc 0.9817 2023-12-12 10:38:15,584 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 10:38:15,591 - pyskl - INFO - mean_acc 0.7477 2023-12-12 10:38:15,593 - pyskl - INFO - Epoch(val) [28][533] top1_acc: 0.7972, top5_acc: 0.9817, mean_class_accuracy: 0.7477 2023-12-12 10:39:17,376 - pyskl - INFO - Epoch [29][100/1281] lr: 2.290e-02, eta: 17:52:16, time: 0.618, data_time: 0.187, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9869, loss_cls: 0.8068, loss: 0.8068 2023-12-12 10:40:00,312 - pyskl - INFO - Epoch [29][200/1281] lr: 2.289e-02, eta: 17:51:42, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9925, loss_cls: 0.7295, loss: 0.7295 2023-12-12 10:40:43,139 - pyskl - INFO - Epoch [29][300/1281] lr: 2.288e-02, eta: 17:51:08, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9944, loss_cls: 0.7224, loss: 0.7224 2023-12-12 10:41:25,025 - pyskl - INFO - Epoch [29][400/1281] lr: 2.287e-02, eta: 17:50:30, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9962, loss_cls: 0.7198, loss: 0.7198 2023-12-12 10:42:06,995 - pyskl - INFO - Epoch [29][500/1281] lr: 2.285e-02, eta: 17:49:52, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9919, loss_cls: 0.7228, loss: 0.7228 2023-12-12 10:42:48,867 - pyskl - INFO - Epoch [29][600/1281] lr: 2.284e-02, eta: 17:49:14, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9919, loss_cls: 0.7891, loss: 0.7891 2023-12-12 10:43:30,974 - pyskl - INFO - Epoch [29][700/1281] lr: 2.283e-02, eta: 17:48:36, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9944, loss_cls: 0.7308, loss: 0.7308 2023-12-12 10:44:12,836 - pyskl - INFO - Epoch [29][800/1281] lr: 2.282e-02, eta: 17:47:58, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9912, loss_cls: 0.7468, loss: 0.7468 2023-12-12 10:44:55,537 - pyskl - INFO - Epoch [29][900/1281] lr: 2.281e-02, eta: 17:47:23, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9931, loss_cls: 0.7398, loss: 0.7398 2023-12-12 10:45:38,603 - pyskl - INFO - Epoch [29][1000/1281] lr: 2.280e-02, eta: 17:46:49, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9944, loss_cls: 0.6909, loss: 0.6909 2023-12-12 10:46:21,590 - pyskl - INFO - Epoch [29][1100/1281] lr: 2.279e-02, eta: 17:46:16, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9975, loss_cls: 0.7736, loss: 0.7736 2023-12-12 10:47:04,532 - pyskl - INFO - Epoch [29][1200/1281] lr: 2.277e-02, eta: 17:45:41, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9956, loss_cls: 0.7280, loss: 0.7280 2023-12-12 10:47:40,090 - pyskl - INFO - Saving checkpoint at 29 epochs 2023-12-12 10:48:55,325 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 10:48:55,384 - pyskl - INFO - top1_acc 0.8319 top5_acc 0.9867 2023-12-12 10:48:55,384 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 10:48:55,393 - pyskl - INFO - mean_acc 0.7498 2023-12-12 10:48:55,398 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_26.pth was removed 2023-12-12 10:48:55,589 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. 2023-12-12 10:48:55,589 - pyskl - INFO - Best top1_acc is 0.8319 at 29 epoch. 2023-12-12 10:48:55,593 - pyskl - INFO - Epoch(val) [29][533] top1_acc: 0.8319, top5_acc: 0.9867, mean_class_accuracy: 0.7498 2023-12-12 10:49:56,241 - pyskl - INFO - Epoch [30][100/1281] lr: 2.275e-02, eta: 17:43:29, time: 0.606, data_time: 0.186, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9962, loss_cls: 0.5962, loss: 0.5962 2023-12-12 10:50:39,227 - pyskl - INFO - Epoch [30][200/1281] lr: 2.274e-02, eta: 17:42:55, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9938, loss_cls: 0.6529, loss: 0.6529 2023-12-12 10:51:22,195 - pyskl - INFO - Epoch [30][300/1281] lr: 2.273e-02, eta: 17:42:21, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9944, loss_cls: 0.7032, loss: 0.7032 2023-12-12 10:52:05,116 - pyskl - INFO - Epoch [30][400/1281] lr: 2.272e-02, eta: 17:41:47, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9925, loss_cls: 0.7722, loss: 0.7722 2023-12-12 10:52:48,204 - pyskl - INFO - Epoch [30][500/1281] lr: 2.271e-02, eta: 17:41:13, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9956, loss_cls: 0.6956, loss: 0.6956 2023-12-12 10:53:31,206 - pyskl - INFO - Epoch [30][600/1281] lr: 2.269e-02, eta: 17:40:39, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9975, loss_cls: 0.6665, loss: 0.6665 2023-12-12 10:54:13,683 - pyskl - INFO - Epoch [30][700/1281] lr: 2.268e-02, eta: 17:40:03, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9950, loss_cls: 0.7352, loss: 0.7352 2023-12-12 10:54:55,588 - pyskl - INFO - Epoch [30][800/1281] lr: 2.267e-02, eta: 17:39:25, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9938, loss_cls: 0.7356, loss: 0.7356 2023-12-12 10:55:37,464 - pyskl - INFO - Epoch [30][900/1281] lr: 2.266e-02, eta: 17:38:46, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9950, loss_cls: 0.7051, loss: 0.7051 2023-12-12 10:56:19,555 - pyskl - INFO - Epoch [30][1000/1281] lr: 2.265e-02, eta: 17:38:09, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9938, loss_cls: 0.7492, loss: 0.7492 2023-12-12 10:57:01,542 - pyskl - INFO - Epoch [30][1100/1281] lr: 2.263e-02, eta: 17:37:30, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9919, loss_cls: 0.7052, loss: 0.7052 2023-12-12 10:57:43,415 - pyskl - INFO - Epoch [30][1200/1281] lr: 2.262e-02, eta: 17:36:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9912, loss_cls: 0.7355, loss: 0.7355 2023-12-12 10:58:17,997 - pyskl - INFO - Saving checkpoint at 30 epochs 2023-12-12 10:59:33,750 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 10:59:33,830 - pyskl - INFO - top1_acc 0.8224 top5_acc 0.9893 2023-12-12 10:59:33,830 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 10:59:33,843 - pyskl - INFO - mean_acc 0.7448 2023-12-12 10:59:33,847 - pyskl - INFO - Epoch(val) [30][533] top1_acc: 0.8224, top5_acc: 0.9893, mean_class_accuracy: 0.7448 2023-12-12 11:00:34,763 - pyskl - INFO - Epoch [31][100/1281] lr: 2.260e-02, eta: 17:34:43, time: 0.609, data_time: 0.191, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9950, loss_cls: 0.6793, loss: 0.6793 2023-12-12 11:01:16,703 - pyskl - INFO - Epoch [31][200/1281] lr: 2.259e-02, eta: 17:34:04, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9931, loss_cls: 0.7392, loss: 0.7392 2023-12-12 11:01:58,685 - pyskl - INFO - Epoch [31][300/1281] lr: 2.258e-02, eta: 17:33:26, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9962, loss_cls: 0.6495, loss: 0.6495 2023-12-12 11:02:40,489 - pyskl - INFO - Epoch [31][400/1281] lr: 2.256e-02, eta: 17:32:47, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9956, loss_cls: 0.7031, loss: 0.7031 2023-12-12 11:03:22,474 - pyskl - INFO - Epoch [31][500/1281] lr: 2.255e-02, eta: 17:32:09, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9969, loss_cls: 0.7073, loss: 0.7073 2023-12-12 11:04:04,351 - pyskl - INFO - Epoch [31][600/1281] lr: 2.254e-02, eta: 17:31:31, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 0.6364, loss: 0.6364 2023-12-12 11:04:46,288 - pyskl - INFO - Epoch [31][700/1281] lr: 2.253e-02, eta: 17:30:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9931, loss_cls: 0.7560, loss: 0.7560 2023-12-12 11:05:28,126 - pyskl - INFO - Epoch [31][800/1281] lr: 2.252e-02, eta: 17:30:14, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9919, loss_cls: 0.7653, loss: 0.7653 2023-12-12 11:06:10,051 - pyskl - INFO - Epoch [31][900/1281] lr: 2.250e-02, eta: 17:29:35, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9931, loss_cls: 0.7353, loss: 0.7353 2023-12-12 11:06:52,015 - pyskl - INFO - Epoch [31][1000/1281] lr: 2.249e-02, eta: 17:28:57, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9912, loss_cls: 0.7732, loss: 0.7732 2023-12-12 11:07:33,949 - pyskl - INFO - Epoch [31][1100/1281] lr: 2.248e-02, eta: 17:28:18, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9938, loss_cls: 0.7183, loss: 0.7183 2023-12-12 11:08:15,991 - pyskl - INFO - Epoch [31][1200/1281] lr: 2.247e-02, eta: 17:27:40, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9956, loss_cls: 0.6693, loss: 0.6693 2023-12-12 11:08:51,290 - pyskl - INFO - Saving checkpoint at 31 epochs 2023-12-12 11:10:07,448 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 11:10:07,509 - pyskl - INFO - top1_acc 0.8548 top5_acc 0.9893 2023-12-12 11:10:07,509 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 11:10:07,517 - pyskl - INFO - mean_acc 0.7936 2023-12-12 11:10:07,521 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_29.pth was removed 2023-12-12 11:10:07,758 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_31.pth. 2023-12-12 11:10:07,758 - pyskl - INFO - Best top1_acc is 0.8548 at 31 epoch. 2023-12-12 11:10:07,761 - pyskl - INFO - Epoch(val) [31][533] top1_acc: 0.8548, top5_acc: 0.9893, mean_class_accuracy: 0.7936 2023-12-12 11:11:08,237 - pyskl - INFO - Epoch [32][100/1281] lr: 2.244e-02, eta: 17:25:32, time: 0.605, data_time: 0.185, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9956, loss_cls: 0.7035, loss: 0.7035 2023-12-12 11:11:50,005 - pyskl - INFO - Epoch [32][200/1281] lr: 2.243e-02, eta: 17:24:53, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9969, loss_cls: 0.7023, loss: 0.7023 2023-12-12 11:12:31,957 - pyskl - INFO - Epoch [32][300/1281] lr: 2.242e-02, eta: 17:24:15, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9962, loss_cls: 0.6178, loss: 0.6178 2023-12-12 11:13:13,914 - pyskl - INFO - Epoch [32][400/1281] lr: 2.241e-02, eta: 17:23:36, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9925, loss_cls: 0.6968, loss: 0.6968 2023-12-12 11:13:55,718 - pyskl - INFO - Epoch [32][500/1281] lr: 2.239e-02, eta: 17:22:57, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9925, loss_cls: 0.7771, loss: 0.7771 2023-12-12 11:14:37,654 - pyskl - INFO - Epoch [32][600/1281] lr: 2.238e-02, eta: 17:22:19, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9931, loss_cls: 0.7102, loss: 0.7102 2023-12-12 11:15:19,606 - pyskl - INFO - Epoch [32][700/1281] lr: 2.237e-02, eta: 17:21:41, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9919, loss_cls: 0.7024, loss: 0.7024 2023-12-12 11:16:01,862 - pyskl - INFO - Epoch [32][800/1281] lr: 2.236e-02, eta: 17:21:04, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9944, loss_cls: 0.6942, loss: 0.6942 2023-12-12 11:16:44,797 - pyskl - INFO - Epoch [32][900/1281] lr: 2.234e-02, eta: 17:20:29, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9950, loss_cls: 0.6862, loss: 0.6862 2023-12-12 11:17:26,782 - pyskl - INFO - Epoch [32][1000/1281] lr: 2.233e-02, eta: 17:19:51, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9906, loss_cls: 0.6577, loss: 0.6577 2023-12-12 11:18:08,717 - pyskl - INFO - Epoch [32][1100/1281] lr: 2.232e-02, eta: 17:19:12, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9950, loss_cls: 0.7244, loss: 0.7244 2023-12-12 11:18:50,723 - pyskl - INFO - Epoch [32][1200/1281] lr: 2.231e-02, eta: 17:18:34, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9944, loss_cls: 0.6491, loss: 0.6491 2023-12-12 11:19:26,657 - pyskl - INFO - Saving checkpoint at 32 epochs 2023-12-12 11:20:44,566 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 11:20:44,629 - pyskl - INFO - top1_acc 0.8184 top5_acc 0.9847 2023-12-12 11:20:44,629 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 11:20:44,647 - pyskl - INFO - mean_acc 0.7546 2023-12-12 11:20:44,651 - pyskl - INFO - Epoch(val) [32][533] top1_acc: 0.8184, top5_acc: 0.9847, mean_class_accuracy: 0.7546 2023-12-12 11:21:48,649 - pyskl - INFO - Epoch [33][100/1281] lr: 2.228e-02, eta: 17:16:40, time: 0.640, data_time: 0.206, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9956, loss_cls: 0.7198, loss: 0.7198 2023-12-12 11:22:31,641 - pyskl - INFO - Epoch [33][200/1281] lr: 2.227e-02, eta: 17:16:06, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9969, loss_cls: 0.6025, loss: 0.6025 2023-12-12 11:23:14,716 - pyskl - INFO - Epoch [33][300/1281] lr: 2.226e-02, eta: 17:15:32, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9944, loss_cls: 0.6987, loss: 0.6987 2023-12-12 11:23:57,595 - pyskl - INFO - Epoch [33][400/1281] lr: 2.225e-02, eta: 17:14:57, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9962, loss_cls: 0.6921, loss: 0.6921 2023-12-12 11:24:40,312 - pyskl - INFO - Epoch [33][500/1281] lr: 2.223e-02, eta: 17:14:21, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9962, loss_cls: 0.6206, loss: 0.6206 2023-12-12 11:25:23,827 - pyskl - INFO - Epoch [33][600/1281] lr: 2.222e-02, eta: 17:13:48, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9919, loss_cls: 0.7325, loss: 0.7325 2023-12-12 11:26:07,085 - pyskl - INFO - Epoch [33][700/1281] lr: 2.221e-02, eta: 17:13:14, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9938, loss_cls: 0.6797, loss: 0.6797 2023-12-12 11:26:49,920 - pyskl - INFO - Epoch [33][800/1281] lr: 2.219e-02, eta: 17:12:39, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9912, loss_cls: 0.7402, loss: 0.7402 2023-12-12 11:27:33,431 - pyskl - INFO - Epoch [33][900/1281] lr: 2.218e-02, eta: 17:12:06, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9931, loss_cls: 0.7352, loss: 0.7352 2023-12-12 11:28:16,807 - pyskl - INFO - Epoch [33][1000/1281] lr: 2.217e-02, eta: 17:11:33, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9956, loss_cls: 0.7115, loss: 0.7115 2023-12-12 11:28:59,579 - pyskl - INFO - Epoch [33][1100/1281] lr: 2.216e-02, eta: 17:10:57, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9962, loss_cls: 0.6573, loss: 0.6573 2023-12-12 11:29:42,859 - pyskl - INFO - Epoch [33][1200/1281] lr: 2.214e-02, eta: 17:10:23, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9975, loss_cls: 0.6863, loss: 0.6863 2023-12-12 11:30:18,594 - pyskl - INFO - Saving checkpoint at 33 epochs 2023-12-12 11:31:36,909 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 11:31:36,968 - pyskl - INFO - top1_acc 0.8302 top5_acc 0.9859 2023-12-12 11:31:36,968 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 11:31:36,978 - pyskl - INFO - mean_acc 0.7706 2023-12-12 11:31:36,981 - pyskl - INFO - Epoch(val) [33][533] top1_acc: 0.8302, top5_acc: 0.9859, mean_class_accuracy: 0.7706 2023-12-12 11:32:39,584 - pyskl - INFO - Epoch [34][100/1281] lr: 2.212e-02, eta: 17:08:26, time: 0.626, data_time: 0.202, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9950, loss_cls: 0.6170, loss: 0.6170 2023-12-12 11:33:23,189 - pyskl - INFO - Epoch [34][200/1281] lr: 2.211e-02, eta: 17:07:53, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9969, loss_cls: 0.5982, loss: 0.5982 2023-12-12 11:34:06,245 - pyskl - INFO - Epoch [34][300/1281] lr: 2.209e-02, eta: 17:07:18, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9944, loss_cls: 0.7411, loss: 0.7411 2023-12-12 11:34:49,989 - pyskl - INFO - Epoch [34][400/1281] lr: 2.208e-02, eta: 17:06:46, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9938, loss_cls: 0.7108, loss: 0.7108 2023-12-12 11:35:32,201 - pyskl - INFO - Epoch [34][500/1281] lr: 2.207e-02, eta: 17:06:08, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9950, loss_cls: 0.7357, loss: 0.7357 2023-12-12 11:36:14,412 - pyskl - INFO - Epoch [34][600/1281] lr: 2.205e-02, eta: 17:05:31, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9938, loss_cls: 0.6957, loss: 0.6957 2023-12-12 11:36:57,309 - pyskl - INFO - Epoch [34][700/1281] lr: 2.204e-02, eta: 17:04:55, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9938, loss_cls: 0.6621, loss: 0.6621 2023-12-12 11:37:39,437 - pyskl - INFO - Epoch [34][800/1281] lr: 2.203e-02, eta: 17:04:17, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9969, loss_cls: 0.6058, loss: 0.6058 2023-12-12 11:38:21,515 - pyskl - INFO - Epoch [34][900/1281] lr: 2.201e-02, eta: 17:03:39, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9962, loss_cls: 0.6950, loss: 0.6950 2023-12-12 11:39:03,710 - pyskl - INFO - Epoch [34][1000/1281] lr: 2.200e-02, eta: 17:03:01, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9950, loss_cls: 0.6571, loss: 0.6571 2023-12-12 11:39:45,820 - pyskl - INFO - Epoch [34][1100/1281] lr: 2.199e-02, eta: 17:02:23, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9938, loss_cls: 0.6834, loss: 0.6834 2023-12-12 11:40:28,094 - pyskl - INFO - Epoch [34][1200/1281] lr: 2.197e-02, eta: 17:01:45, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9956, loss_cls: 0.7431, loss: 0.7431 2023-12-12 11:41:02,832 - pyskl - INFO - Saving checkpoint at 34 epochs 2023-12-12 11:42:19,846 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 11:42:19,926 - pyskl - INFO - top1_acc 0.8527 top5_acc 0.9898 2023-12-12 11:42:19,927 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 11:42:19,935 - pyskl - INFO - mean_acc 0.7746 2023-12-12 11:42:19,938 - pyskl - INFO - Epoch(val) [34][533] top1_acc: 0.8527, top5_acc: 0.9898, mean_class_accuracy: 0.7746 2023-12-12 11:43:23,778 - pyskl - INFO - Epoch [35][100/1281] lr: 2.195e-02, eta: 16:59:54, time: 0.638, data_time: 0.207, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9981, loss_cls: 0.5430, loss: 0.5430 2023-12-12 11:44:06,762 - pyskl - INFO - Epoch [35][200/1281] lr: 2.194e-02, eta: 16:59:18, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9956, loss_cls: 0.6155, loss: 0.6155 2023-12-12 11:44:50,301 - pyskl - INFO - Epoch [35][300/1281] lr: 2.192e-02, eta: 16:58:45, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9956, loss_cls: 0.6671, loss: 0.6671 2023-12-12 11:45:33,605 - pyskl - INFO - Epoch [35][400/1281] lr: 2.191e-02, eta: 16:58:11, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9956, loss_cls: 0.6699, loss: 0.6699 2023-12-12 11:46:16,750 - pyskl - INFO - Epoch [35][500/1281] lr: 2.190e-02, eta: 16:57:36, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9981, loss_cls: 0.6158, loss: 0.6158 2023-12-12 11:46:59,401 - pyskl - INFO - Epoch [35][600/1281] lr: 2.188e-02, eta: 16:57:00, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9969, loss_cls: 0.6579, loss: 0.6579 2023-12-12 11:47:41,775 - pyskl - INFO - Epoch [35][700/1281] lr: 2.187e-02, eta: 16:56:22, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9988, loss_cls: 0.6361, loss: 0.6361 2023-12-12 11:48:24,064 - pyskl - INFO - Epoch [35][800/1281] lr: 2.185e-02, eta: 16:55:45, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9956, loss_cls: 0.6752, loss: 0.6752 2023-12-12 11:49:07,438 - pyskl - INFO - Epoch [35][900/1281] lr: 2.184e-02, eta: 16:55:10, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9925, loss_cls: 0.6540, loss: 0.6540 2023-12-12 11:49:50,655 - pyskl - INFO - Epoch [35][1000/1281] lr: 2.183e-02, eta: 16:54:36, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9938, loss_cls: 0.6376, loss: 0.6376 2023-12-12 11:50:34,034 - pyskl - INFO - Epoch [35][1100/1281] lr: 2.181e-02, eta: 16:54:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9956, loss_cls: 0.6974, loss: 0.6974 2023-12-12 11:51:17,468 - pyskl - INFO - Epoch [35][1200/1281] lr: 2.180e-02, eta: 16:53:27, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9950, loss_cls: 0.7074, loss: 0.7074 2023-12-12 11:51:53,488 - pyskl - INFO - Saving checkpoint at 35 epochs 2023-12-12 11:53:10,859 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 11:53:10,919 - pyskl - INFO - top1_acc 0.8444 top5_acc 0.9891 2023-12-12 11:53:10,919 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 11:53:10,928 - pyskl - INFO - mean_acc 0.7739 2023-12-12 11:53:10,931 - pyskl - INFO - Epoch(val) [35][533] top1_acc: 0.8444, top5_acc: 0.9891, mean_class_accuracy: 0.7739 2023-12-12 11:54:11,766 - pyskl - INFO - Epoch [36][100/1281] lr: 2.178e-02, eta: 16:51:27, time: 0.608, data_time: 0.193, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9956, loss_cls: 0.5923, loss: 0.5923 2023-12-12 11:54:53,844 - pyskl - INFO - Epoch [36][200/1281] lr: 2.176e-02, eta: 16:50:49, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9950, loss_cls: 0.6327, loss: 0.6327 2023-12-12 11:55:35,935 - pyskl - INFO - Epoch [36][300/1281] lr: 2.175e-02, eta: 16:50:11, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9962, loss_cls: 0.6233, loss: 0.6233 2023-12-12 11:56:18,237 - pyskl - INFO - Epoch [36][400/1281] lr: 2.173e-02, eta: 16:49:33, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9906, loss_cls: 0.6454, loss: 0.6454 2023-12-12 11:57:00,364 - pyskl - INFO - Epoch [36][500/1281] lr: 2.172e-02, eta: 16:48:55, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9956, loss_cls: 0.5947, loss: 0.5947 2023-12-12 11:57:42,315 - pyskl - INFO - Epoch [36][600/1281] lr: 2.171e-02, eta: 16:48:16, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9956, loss_cls: 0.5714, loss: 0.5714 2023-12-12 11:58:24,505 - pyskl - INFO - Epoch [36][700/1281] lr: 2.169e-02, eta: 16:47:37, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9962, loss_cls: 0.6660, loss: 0.6660 2023-12-12 11:59:06,604 - pyskl - INFO - Epoch [36][800/1281] lr: 2.168e-02, eta: 16:46:59, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9950, loss_cls: 0.6826, loss: 0.6826 2023-12-12 11:59:48,676 - pyskl - INFO - Epoch [36][900/1281] lr: 2.167e-02, eta: 16:46:20, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9969, loss_cls: 0.6764, loss: 0.6764 2023-12-12 12:00:30,924 - pyskl - INFO - Epoch [36][1000/1281] lr: 2.165e-02, eta: 16:45:42, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9944, loss_cls: 0.6794, loss: 0.6794 2023-12-12 12:01:12,928 - pyskl - INFO - Epoch [36][1100/1281] lr: 2.164e-02, eta: 16:45:04, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9925, loss_cls: 0.7370, loss: 0.7370 2023-12-12 12:01:54,874 - pyskl - INFO - Epoch [36][1200/1281] lr: 2.162e-02, eta: 16:44:25, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9938, loss_cls: 0.6643, loss: 0.6643 2023-12-12 12:02:30,182 - pyskl - INFO - Saving checkpoint at 36 epochs 2023-12-12 12:03:44,655 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 12:03:44,715 - pyskl - INFO - top1_acc 0.8363 top5_acc 0.9904 2023-12-12 12:03:44,715 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 12:03:44,724 - pyskl - INFO - mean_acc 0.7561 2023-12-12 12:03:44,726 - pyskl - INFO - Epoch(val) [36][533] top1_acc: 0.8363, top5_acc: 0.9904, mean_class_accuracy: 0.7561 2023-12-12 12:04:44,862 - pyskl - INFO - Epoch [37][100/1281] lr: 2.160e-02, eta: 16:42:24, time: 0.601, data_time: 0.201, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9975, loss_cls: 0.6069, loss: 0.6069 2023-12-12 12:05:26,925 - pyskl - INFO - Epoch [37][200/1281] lr: 2.158e-02, eta: 16:41:45, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9969, loss_cls: 0.5876, loss: 0.5876 2023-12-12 12:06:08,866 - pyskl - INFO - Epoch [37][300/1281] lr: 2.157e-02, eta: 16:41:07, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9969, loss_cls: 0.5929, loss: 0.5929 2023-12-12 12:06:52,182 - pyskl - INFO - Epoch [37][400/1281] lr: 2.156e-02, eta: 16:40:32, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9950, loss_cls: 0.6339, loss: 0.6339 2023-12-12 12:07:35,566 - pyskl - INFO - Epoch [37][500/1281] lr: 2.154e-02, eta: 16:39:57, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9969, loss_cls: 0.6172, loss: 0.6172 2023-12-12 12:08:18,343 - pyskl - INFO - Epoch [37][600/1281] lr: 2.153e-02, eta: 16:39:21, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9950, loss_cls: 0.6539, loss: 0.6539 2023-12-12 12:09:00,611 - pyskl - INFO - Epoch [37][700/1281] lr: 2.151e-02, eta: 16:38:43, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9938, loss_cls: 0.6321, loss: 0.6321 2023-12-12 12:09:42,565 - pyskl - INFO - Epoch [37][800/1281] lr: 2.150e-02, eta: 16:38:04, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9969, loss_cls: 0.6384, loss: 0.6384 2023-12-12 12:10:24,800 - pyskl - INFO - Epoch [37][900/1281] lr: 2.149e-02, eta: 16:37:26, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9962, loss_cls: 0.6067, loss: 0.6067 2023-12-12 12:11:06,981 - pyskl - INFO - Epoch [37][1000/1281] lr: 2.147e-02, eta: 16:36:48, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9956, loss_cls: 0.5952, loss: 0.5952 2023-12-12 12:11:49,092 - pyskl - INFO - Epoch [37][1100/1281] lr: 2.146e-02, eta: 16:36:09, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9950, loss_cls: 0.6251, loss: 0.6251 2023-12-12 12:12:31,263 - pyskl - INFO - Epoch [37][1200/1281] lr: 2.144e-02, eta: 16:35:31, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9925, loss_cls: 0.7497, loss: 0.7497 2023-12-12 12:13:06,113 - pyskl - INFO - Saving checkpoint at 37 epochs 2023-12-12 12:14:21,534 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 12:14:21,598 - pyskl - INFO - top1_acc 0.8397 top5_acc 0.9896 2023-12-12 12:14:21,598 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 12:14:21,606 - pyskl - INFO - mean_acc 0.7641 2023-12-12 12:14:21,608 - pyskl - INFO - Epoch(val) [37][533] top1_acc: 0.8397, top5_acc: 0.9896, mean_class_accuracy: 0.7641 2023-12-12 12:15:21,891 - pyskl - INFO - Epoch [38][100/1281] lr: 2.142e-02, eta: 16:33:32, time: 0.603, data_time: 0.200, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9981, loss_cls: 0.6082, loss: 0.6082 2023-12-12 12:16:03,874 - pyskl - INFO - Epoch [38][200/1281] lr: 2.140e-02, eta: 16:32:53, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9981, loss_cls: 0.6080, loss: 0.6080 2023-12-12 12:16:46,920 - pyskl - INFO - Epoch [38][300/1281] lr: 2.139e-02, eta: 16:32:18, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9975, loss_cls: 0.6734, loss: 0.6734 2023-12-12 12:17:29,933 - pyskl - INFO - Epoch [38][400/1281] lr: 2.137e-02, eta: 16:31:42, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9975, loss_cls: 0.6515, loss: 0.6515 2023-12-12 12:18:11,775 - pyskl - INFO - Epoch [38][500/1281] lr: 2.136e-02, eta: 16:31:02, time: 0.418, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9944, loss_cls: 0.6037, loss: 0.6037 2023-12-12 12:18:54,054 - pyskl - INFO - Epoch [38][600/1281] lr: 2.134e-02, eta: 16:30:24, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9956, loss_cls: 0.5696, loss: 0.5696 2023-12-12 12:19:36,062 - pyskl - INFO - Epoch [38][700/1281] lr: 2.133e-02, eta: 16:29:46, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9944, loss_cls: 0.6000, loss: 0.6000 2023-12-12 12:20:18,469 - pyskl - INFO - Epoch [38][800/1281] lr: 2.132e-02, eta: 16:29:08, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9981, loss_cls: 0.6305, loss: 0.6305 2023-12-12 12:21:00,614 - pyskl - INFO - Epoch [38][900/1281] lr: 2.130e-02, eta: 16:28:29, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9931, loss_cls: 0.7249, loss: 0.7249 2023-12-12 12:21:42,541 - pyskl - INFO - Epoch [38][1000/1281] lr: 2.129e-02, eta: 16:27:50, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9956, loss_cls: 0.6921, loss: 0.6921 2023-12-12 12:22:24,793 - pyskl - INFO - Epoch [38][1100/1281] lr: 2.127e-02, eta: 16:27:12, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9938, loss_cls: 0.6718, loss: 0.6718 2023-12-12 12:23:07,001 - pyskl - INFO - Epoch [38][1200/1281] lr: 2.126e-02, eta: 16:26:34, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9988, loss_cls: 0.6041, loss: 0.6041 2023-12-12 12:23:41,772 - pyskl - INFO - Saving checkpoint at 38 epochs 2023-12-12 12:24:57,534 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 12:24:57,600 - pyskl - INFO - top1_acc 0.8505 top5_acc 0.9896 2023-12-12 12:24:57,600 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 12:24:57,609 - pyskl - INFO - mean_acc 0.7894 2023-12-12 12:24:57,611 - pyskl - INFO - Epoch(val) [38][533] top1_acc: 0.8505, top5_acc: 0.9896, mean_class_accuracy: 0.7894 2023-12-12 12:25:58,345 - pyskl - INFO - Epoch [39][100/1281] lr: 2.123e-02, eta: 16:24:38, time: 0.607, data_time: 0.197, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9969, loss_cls: 0.5310, loss: 0.5310 2023-12-12 12:26:41,820 - pyskl - INFO - Epoch [39][200/1281] lr: 2.122e-02, eta: 16:24:04, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9956, loss_cls: 0.5614, loss: 0.5614 2023-12-12 12:27:25,131 - pyskl - INFO - Epoch [39][300/1281] lr: 2.120e-02, eta: 16:23:28, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9950, loss_cls: 0.5336, loss: 0.5336 2023-12-12 12:28:07,240 - pyskl - INFO - Epoch [39][400/1281] lr: 2.119e-02, eta: 16:22:50, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9956, loss_cls: 0.6043, loss: 0.6043 2023-12-12 12:28:49,444 - pyskl - INFO - Epoch [39][500/1281] lr: 2.117e-02, eta: 16:22:12, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9956, loss_cls: 0.6835, loss: 0.6835 2023-12-12 12:29:32,520 - pyskl - INFO - Epoch [39][600/1281] lr: 2.116e-02, eta: 16:21:36, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9900, loss_cls: 0.7156, loss: 0.7156 2023-12-12 12:30:14,556 - pyskl - INFO - Epoch [39][700/1281] lr: 2.114e-02, eta: 16:20:57, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9944, loss_cls: 0.6736, loss: 0.6736 2023-12-12 12:30:56,657 - pyskl - INFO - Epoch [39][800/1281] lr: 2.113e-02, eta: 16:20:18, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9919, loss_cls: 0.6382, loss: 0.6382 2023-12-12 12:31:38,763 - pyskl - INFO - Epoch [39][900/1281] lr: 2.111e-02, eta: 16:19:39, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9944, loss_cls: 0.6000, loss: 0.6000 2023-12-12 12:32:20,880 - pyskl - INFO - Epoch [39][1000/1281] lr: 2.110e-02, eta: 16:19:01, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9962, loss_cls: 0.6366, loss: 0.6366 2023-12-12 12:33:03,070 - pyskl - INFO - Epoch [39][1100/1281] lr: 2.108e-02, eta: 16:18:22, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9950, loss_cls: 0.6367, loss: 0.6367 2023-12-12 12:33:46,248 - pyskl - INFO - Epoch [39][1200/1281] lr: 2.107e-02, eta: 16:17:47, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9931, loss_cls: 0.6412, loss: 0.6412 2023-12-12 12:34:21,851 - pyskl - INFO - Saving checkpoint at 39 epochs 2023-12-12 12:35:37,210 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 12:35:37,273 - pyskl - INFO - top1_acc 0.8224 top5_acc 0.9839 2023-12-12 12:35:37,273 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 12:35:37,281 - pyskl - INFO - mean_acc 0.7658 2023-12-12 12:35:37,283 - pyskl - INFO - Epoch(val) [39][533] top1_acc: 0.8224, top5_acc: 0.9839, mean_class_accuracy: 0.7658 2023-12-12 12:36:37,734 - pyskl - INFO - Epoch [40][100/1281] lr: 2.104e-02, eta: 16:15:52, time: 0.604, data_time: 0.204, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9925, loss_cls: 0.5723, loss: 0.5723 2023-12-12 12:37:20,875 - pyskl - INFO - Epoch [40][200/1281] lr: 2.103e-02, eta: 16:15:16, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9956, loss_cls: 0.5834, loss: 0.5834 2023-12-12 12:38:04,010 - pyskl - INFO - Epoch [40][300/1281] lr: 2.101e-02, eta: 16:14:40, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9956, loss_cls: 0.6283, loss: 0.6283 2023-12-12 12:38:46,069 - pyskl - INFO - Epoch [40][400/1281] lr: 2.100e-02, eta: 16:14:01, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9938, loss_cls: 0.5772, loss: 0.5772 2023-12-12 12:39:28,201 - pyskl - INFO - Epoch [40][500/1281] lr: 2.098e-02, eta: 16:13:23, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9950, loss_cls: 0.6441, loss: 0.6441 2023-12-12 12:40:10,107 - pyskl - INFO - Epoch [40][600/1281] lr: 2.097e-02, eta: 16:12:43, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9981, loss_cls: 0.6083, loss: 0.6083 2023-12-12 12:40:53,005 - pyskl - INFO - Epoch [40][700/1281] lr: 2.095e-02, eta: 16:12:07, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9950, loss_cls: 0.5590, loss: 0.5590 2023-12-12 12:41:36,191 - pyskl - INFO - Epoch [40][800/1281] lr: 2.094e-02, eta: 16:11:31, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9900, loss_cls: 0.7130, loss: 0.7130 2023-12-12 12:42:18,186 - pyskl - INFO - Epoch [40][900/1281] lr: 2.092e-02, eta: 16:10:52, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9962, loss_cls: 0.6577, loss: 0.6577 2023-12-12 12:43:00,294 - pyskl - INFO - Epoch [40][1000/1281] lr: 2.091e-02, eta: 16:10:13, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9956, loss_cls: 0.6109, loss: 0.6109 2023-12-12 12:43:43,341 - pyskl - INFO - Epoch [40][1100/1281] lr: 2.089e-02, eta: 16:09:37, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9931, loss_cls: 0.6449, loss: 0.6449 2023-12-12 12:44:25,345 - pyskl - INFO - Epoch [40][1200/1281] lr: 2.088e-02, eta: 16:08:58, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9931, loss_cls: 0.6057, loss: 0.6057 2023-12-12 12:45:00,134 - pyskl - INFO - Saving checkpoint at 40 epochs 2023-12-12 12:46:14,447 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 12:46:14,506 - pyskl - INFO - top1_acc 0.8585 top5_acc 0.9887 2023-12-12 12:46:14,506 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 12:46:14,513 - pyskl - INFO - mean_acc 0.8158 2023-12-12 12:46:14,517 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_31.pth was removed 2023-12-12 12:46:14,705 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. 2023-12-12 12:46:14,706 - pyskl - INFO - Best top1_acc is 0.8585 at 40 epoch. 2023-12-12 12:46:14,709 - pyskl - INFO - Epoch(val) [40][533] top1_acc: 0.8585, top5_acc: 0.9887, mean_class_accuracy: 0.8158 2023-12-12 12:47:15,145 - pyskl - INFO - Epoch [41][100/1281] lr: 2.085e-02, eta: 16:07:04, time: 0.604, data_time: 0.207, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9956, loss_cls: 0.6429, loss: 0.6429 2023-12-12 12:47:57,113 - pyskl - INFO - Epoch [41][200/1281] lr: 2.083e-02, eta: 16:06:25, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9975, loss_cls: 0.5856, loss: 0.5856 2023-12-12 12:48:39,126 - pyskl - INFO - Epoch [41][300/1281] lr: 2.082e-02, eta: 16:05:46, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9950, loss_cls: 0.5303, loss: 0.5303 2023-12-12 12:49:21,282 - pyskl - INFO - Epoch [41][400/1281] lr: 2.080e-02, eta: 16:05:07, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9981, loss_cls: 0.5557, loss: 0.5557 2023-12-12 12:50:03,031 - pyskl - INFO - Epoch [41][500/1281] lr: 2.079e-02, eta: 16:04:28, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9944, loss_cls: 0.5894, loss: 0.5894 2023-12-12 12:50:45,865 - pyskl - INFO - Epoch [41][600/1281] lr: 2.077e-02, eta: 16:03:51, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9931, loss_cls: 0.5846, loss: 0.5846 2023-12-12 12:51:29,185 - pyskl - INFO - Epoch [41][700/1281] lr: 2.076e-02, eta: 16:03:15, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9956, loss_cls: 0.5748, loss: 0.5748 2023-12-12 12:52:11,922 - pyskl - INFO - Epoch [41][800/1281] lr: 2.074e-02, eta: 16:02:38, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9969, loss_cls: 0.5485, loss: 0.5485 2023-12-12 12:52:54,634 - pyskl - INFO - Epoch [41][900/1281] lr: 2.073e-02, eta: 16:02:01, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9969, loss_cls: 0.6017, loss: 0.6017 2023-12-12 12:53:36,561 - pyskl - INFO - Epoch [41][1000/1281] lr: 2.071e-02, eta: 16:01:22, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9962, loss_cls: 0.5792, loss: 0.5792 2023-12-12 12:54:18,665 - pyskl - INFO - Epoch [41][1100/1281] lr: 2.070e-02, eta: 16:00:43, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9988, loss_cls: 0.6215, loss: 0.6215 2023-12-12 12:55:00,785 - pyskl - INFO - Epoch [41][1200/1281] lr: 2.068e-02, eta: 16:00:04, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9981, loss_cls: 0.6616, loss: 0.6616 2023-12-12 12:55:35,606 - pyskl - INFO - Saving checkpoint at 41 epochs 2023-12-12 12:56:50,295 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 12:56:50,357 - pyskl - INFO - top1_acc 0.8618 top5_acc 0.9924 2023-12-12 12:56:50,358 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 12:56:50,366 - pyskl - INFO - mean_acc 0.8098 2023-12-12 12:56:50,372 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_40.pth was removed 2023-12-12 12:56:50,627 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. 2023-12-12 12:56:50,628 - pyskl - INFO - Best top1_acc is 0.8618 at 41 epoch. 2023-12-12 12:56:50,631 - pyskl - INFO - Epoch(val) [41][533] top1_acc: 0.8618, top5_acc: 0.9924, mean_class_accuracy: 0.8098 2023-12-12 12:57:49,079 - pyskl - INFO - Epoch [42][100/1281] lr: 2.065e-02, eta: 15:58:06, time: 0.584, data_time: 0.190, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9981, loss_cls: 0.5086, loss: 0.5086 2023-12-12 12:58:31,774 - pyskl - INFO - Epoch [42][200/1281] lr: 2.064e-02, eta: 15:57:29, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9969, loss_cls: 0.5229, loss: 0.5229 2023-12-12 12:59:15,241 - pyskl - INFO - Epoch [42][300/1281] lr: 2.062e-02, eta: 15:56:54, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9950, loss_cls: 0.5913, loss: 0.5913 2023-12-12 12:59:57,575 - pyskl - INFO - Epoch [42][400/1281] lr: 2.061e-02, eta: 15:56:15, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9956, loss_cls: 0.5637, loss: 0.5637 2023-12-12 13:00:39,696 - pyskl - INFO - Epoch [42][500/1281] lr: 2.059e-02, eta: 15:55:37, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9975, loss_cls: 0.6159, loss: 0.6159 2023-12-12 13:01:21,638 - pyskl - INFO - Epoch [42][600/1281] lr: 2.057e-02, eta: 15:54:57, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9981, loss_cls: 0.6221, loss: 0.6221 2023-12-12 13:02:03,627 - pyskl - INFO - Epoch [42][700/1281] lr: 2.056e-02, eta: 15:54:18, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9969, loss_cls: 0.5965, loss: 0.5965 2023-12-12 13:02:45,853 - pyskl - INFO - Epoch [42][800/1281] lr: 2.054e-02, eta: 15:53:40, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9950, loss_cls: 0.5974, loss: 0.5974 2023-12-12 13:03:28,262 - pyskl - INFO - Epoch [42][900/1281] lr: 2.053e-02, eta: 15:53:01, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9950, loss_cls: 0.6285, loss: 0.6285 2023-12-12 13:04:11,521 - pyskl - INFO - Epoch [42][1000/1281] lr: 2.051e-02, eta: 15:52:26, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9975, loss_cls: 0.6470, loss: 0.6470 2023-12-12 13:04:54,705 - pyskl - INFO - Epoch [42][1100/1281] lr: 2.050e-02, eta: 15:51:49, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9962, loss_cls: 0.6293, loss: 0.6293 2023-12-12 13:05:37,651 - pyskl - INFO - Epoch [42][1200/1281] lr: 2.048e-02, eta: 15:51:13, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9944, loss_cls: 0.6105, loss: 0.6105 2023-12-12 13:06:12,504 - pyskl - INFO - Saving checkpoint at 42 epochs 2023-12-12 13:07:27,642 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 13:07:27,702 - pyskl - INFO - top1_acc 0.8460 top5_acc 0.9908 2023-12-12 13:07:27,702 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 13:07:27,713 - pyskl - INFO - mean_acc 0.7926 2023-12-12 13:07:27,718 - pyskl - INFO - Epoch(val) [42][533] top1_acc: 0.8460, top5_acc: 0.9908, mean_class_accuracy: 0.7926 2023-12-12 13:08:27,993 - pyskl - INFO - Epoch [43][100/1281] lr: 2.045e-02, eta: 15:49:21, time: 0.603, data_time: 0.205, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9975, loss_cls: 0.5354, loss: 0.5354 2023-12-12 13:09:09,944 - pyskl - INFO - Epoch [43][200/1281] lr: 2.044e-02, eta: 15:48:42, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 0.5170, loss: 0.5170 2023-12-12 13:09:52,144 - pyskl - INFO - Epoch [43][300/1281] lr: 2.042e-02, eta: 15:48:03, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9919, loss_cls: 0.6457, loss: 0.6457 2023-12-12 13:10:34,371 - pyskl - INFO - Epoch [43][400/1281] lr: 2.040e-02, eta: 15:47:25, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9975, loss_cls: 0.5388, loss: 0.5388 2023-12-12 13:11:16,472 - pyskl - INFO - Epoch [43][500/1281] lr: 2.039e-02, eta: 15:46:46, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9956, loss_cls: 0.5771, loss: 0.5771 2023-12-12 13:11:58,681 - pyskl - INFO - Epoch [43][600/1281] lr: 2.037e-02, eta: 15:46:07, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9956, loss_cls: 0.6017, loss: 0.6017 2023-12-12 13:12:40,656 - pyskl - INFO - Epoch [43][700/1281] lr: 2.036e-02, eta: 15:45:28, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9994, loss_cls: 0.5440, loss: 0.5440 2023-12-12 13:13:23,564 - pyskl - INFO - Epoch [43][800/1281] lr: 2.034e-02, eta: 15:44:51, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9975, loss_cls: 0.5887, loss: 0.5887 2023-12-12 13:14:05,638 - pyskl - INFO - Epoch [43][900/1281] lr: 2.033e-02, eta: 15:44:12, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9988, loss_cls: 0.5404, loss: 0.5404 2023-12-12 13:14:48,186 - pyskl - INFO - Epoch [43][1000/1281] lr: 2.031e-02, eta: 15:43:34, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9969, loss_cls: 0.5297, loss: 0.5297 2023-12-12 13:15:31,497 - pyskl - INFO - Epoch [43][1100/1281] lr: 2.029e-02, eta: 15:42:58, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9944, loss_cls: 0.6550, loss: 0.6550 2023-12-12 13:16:13,831 - pyskl - INFO - Epoch [43][1200/1281] lr: 2.028e-02, eta: 15:42:19, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9962, loss_cls: 0.5813, loss: 0.5813 2023-12-12 13:16:49,153 - pyskl - INFO - Saving checkpoint at 43 epochs 2023-12-12 13:18:03,275 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 13:18:03,332 - pyskl - INFO - top1_acc 0.8589 top5_acc 0.9903 2023-12-12 13:18:03,332 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 13:18:03,339 - pyskl - INFO - mean_acc 0.8043 2023-12-12 13:18:03,342 - pyskl - INFO - Epoch(val) [43][533] top1_acc: 0.8589, top5_acc: 0.9903, mean_class_accuracy: 0.8043 2023-12-12 13:19:02,349 - pyskl - INFO - Epoch [44][100/1281] lr: 2.025e-02, eta: 15:40:26, time: 0.590, data_time: 0.198, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9956, loss_cls: 0.5851, loss: 0.5851 2023-12-12 13:19:44,546 - pyskl - INFO - Epoch [44][200/1281] lr: 2.023e-02, eta: 15:39:47, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9981, loss_cls: 0.5403, loss: 0.5403 2023-12-12 13:20:26,519 - pyskl - INFO - Epoch [44][300/1281] lr: 2.022e-02, eta: 15:39:08, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9975, loss_cls: 0.5144, loss: 0.5144 2023-12-12 13:21:08,522 - pyskl - INFO - Epoch [44][400/1281] lr: 2.020e-02, eta: 15:38:29, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9956, loss_cls: 0.5536, loss: 0.5536 2023-12-12 13:21:50,647 - pyskl - INFO - Epoch [44][500/1281] lr: 2.018e-02, eta: 15:37:50, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9931, loss_cls: 0.6000, loss: 0.6000 2023-12-12 13:22:32,640 - pyskl - INFO - Epoch [44][600/1281] lr: 2.017e-02, eta: 15:37:10, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9956, loss_cls: 0.5806, loss: 0.5806 2023-12-12 13:23:15,208 - pyskl - INFO - Epoch [44][700/1281] lr: 2.015e-02, eta: 15:36:33, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9950, loss_cls: 0.7145, loss: 0.7145 2023-12-12 13:23:58,416 - pyskl - INFO - Epoch [44][800/1281] lr: 2.014e-02, eta: 15:35:56, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9956, loss_cls: 0.5859, loss: 0.5859 2023-12-12 13:24:41,521 - pyskl - INFO - Epoch [44][900/1281] lr: 2.012e-02, eta: 15:35:20, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9950, loss_cls: 0.5974, loss: 0.5974 2023-12-12 13:25:25,018 - pyskl - INFO - Epoch [44][1000/1281] lr: 2.010e-02, eta: 15:34:44, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9944, loss_cls: 0.6230, loss: 0.6230 2023-12-12 13:26:08,405 - pyskl - INFO - Epoch [44][1100/1281] lr: 2.009e-02, eta: 15:34:08, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9938, loss_cls: 0.5901, loss: 0.5901 2023-12-12 13:26:50,540 - pyskl - INFO - Epoch [44][1200/1281] lr: 2.007e-02, eta: 15:33:29, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9981, loss_cls: 0.5701, loss: 0.5701 2023-12-12 13:27:25,357 - pyskl - INFO - Saving checkpoint at 44 epochs 2023-12-12 13:28:40,098 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 13:28:40,170 - pyskl - INFO - top1_acc 0.8464 top5_acc 0.9898 2023-12-12 13:28:40,170 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 13:28:40,179 - pyskl - INFO - mean_acc 0.7845 2023-12-12 13:28:40,181 - pyskl - INFO - Epoch(val) [44][533] top1_acc: 0.8464, top5_acc: 0.9898, mean_class_accuracy: 0.7845 2023-12-12 13:29:40,929 - pyskl - INFO - Epoch [45][100/1281] lr: 2.004e-02, eta: 15:31:41, time: 0.607, data_time: 0.208, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9994, loss_cls: 0.5207, loss: 0.5207 2023-12-12 13:30:23,446 - pyskl - INFO - Epoch [45][200/1281] lr: 2.003e-02, eta: 15:31:03, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9981, loss_cls: 0.5605, loss: 0.5605 2023-12-12 13:31:06,344 - pyskl - INFO - Epoch [45][300/1281] lr: 2.001e-02, eta: 15:30:26, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9962, loss_cls: 0.5115, loss: 0.5115 2023-12-12 13:31:48,595 - pyskl - INFO - Epoch [45][400/1281] lr: 1.999e-02, eta: 15:29:47, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9962, loss_cls: 0.5828, loss: 0.5828 2023-12-12 13:32:30,595 - pyskl - INFO - Epoch [45][500/1281] lr: 1.998e-02, eta: 15:29:08, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9938, loss_cls: 0.6135, loss: 0.6135 2023-12-12 13:33:12,648 - pyskl - INFO - Epoch [45][600/1281] lr: 1.996e-02, eta: 15:28:29, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9950, loss_cls: 0.5633, loss: 0.5633 2023-12-12 13:33:54,795 - pyskl - INFO - Epoch [45][700/1281] lr: 1.994e-02, eta: 15:27:50, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9988, loss_cls: 0.5321, loss: 0.5321 2023-12-12 13:34:37,633 - pyskl - INFO - Epoch [45][800/1281] lr: 1.993e-02, eta: 15:27:12, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9944, loss_cls: 0.6016, loss: 0.6016 2023-12-12 13:35:20,084 - pyskl - INFO - Epoch [45][900/1281] lr: 1.991e-02, eta: 15:26:34, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9938, loss_cls: 0.6114, loss: 0.6114 2023-12-12 13:36:02,512 - pyskl - INFO - Epoch [45][1000/1281] lr: 1.989e-02, eta: 15:25:56, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9962, loss_cls: 0.5855, loss: 0.5855 2023-12-12 13:36:45,630 - pyskl - INFO - Epoch [45][1100/1281] lr: 1.988e-02, eta: 15:25:19, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9962, loss_cls: 0.5193, loss: 0.5193 2023-12-12 13:37:28,870 - pyskl - INFO - Epoch [45][1200/1281] lr: 1.986e-02, eta: 15:24:42, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9962, loss_cls: 0.5305, loss: 0.5305 2023-12-12 13:38:04,455 - pyskl - INFO - Saving checkpoint at 45 epochs 2023-12-12 13:39:16,086 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 13:39:16,176 - pyskl - INFO - top1_acc 0.8500 top5_acc 0.9921 2023-12-12 13:39:16,177 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 13:39:16,190 - pyskl - INFO - mean_acc 0.7923 2023-12-12 13:39:16,194 - pyskl - INFO - Epoch(val) [45][533] top1_acc: 0.8500, top5_acc: 0.9921, mean_class_accuracy: 0.7923 2023-12-12 13:40:12,772 - pyskl - INFO - Epoch [46][100/1281] lr: 1.983e-02, eta: 15:22:46, time: 0.566, data_time: 0.194, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9956, loss_cls: 0.5045, loss: 0.5045 2023-12-12 13:40:54,941 - pyskl - INFO - Epoch [46][200/1281] lr: 1.981e-02, eta: 15:22:07, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9981, loss_cls: 0.5634, loss: 0.5634 2023-12-12 13:41:36,913 - pyskl - INFO - Epoch [46][300/1281] lr: 1.980e-02, eta: 15:21:27, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9988, loss_cls: 0.5098, loss: 0.5098 2023-12-12 13:42:19,109 - pyskl - INFO - Epoch [46][400/1281] lr: 1.978e-02, eta: 15:20:48, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9950, loss_cls: 0.5592, loss: 0.5592 2023-12-12 13:43:01,364 - pyskl - INFO - Epoch [46][500/1281] lr: 1.976e-02, eta: 15:20:10, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9950, loss_cls: 0.5646, loss: 0.5646 2023-12-12 13:43:43,267 - pyskl - INFO - Epoch [46][600/1281] lr: 1.975e-02, eta: 15:19:30, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 0.5170, loss: 0.5170 2023-12-12 13:44:25,320 - pyskl - INFO - Epoch [46][700/1281] lr: 1.973e-02, eta: 15:18:51, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9969, loss_cls: 0.5847, loss: 0.5847 2023-12-12 13:45:07,447 - pyskl - INFO - Epoch [46][800/1281] lr: 1.971e-02, eta: 15:18:12, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9938, loss_cls: 0.5966, loss: 0.5966 2023-12-12 13:45:49,622 - pyskl - INFO - Epoch [46][900/1281] lr: 1.970e-02, eta: 15:17:33, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9962, loss_cls: 0.5776, loss: 0.5776 2023-12-12 13:46:31,627 - pyskl - INFO - Epoch [46][1000/1281] lr: 1.968e-02, eta: 15:16:53, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9962, loss_cls: 0.5200, loss: 0.5200 2023-12-12 13:47:13,535 - pyskl - INFO - Epoch [46][1100/1281] lr: 1.966e-02, eta: 15:16:14, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 0.5002, loss: 0.5002 2023-12-12 13:47:55,450 - pyskl - INFO - Epoch [46][1200/1281] lr: 1.965e-02, eta: 15:15:34, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9975, loss_cls: 0.6121, loss: 0.6121 2023-12-12 13:48:30,396 - pyskl - INFO - Saving checkpoint at 46 epochs 2023-12-12 13:49:43,426 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 13:49:43,490 - pyskl - INFO - top1_acc 0.8399 top5_acc 0.9842 2023-12-12 13:49:43,490 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 13:49:43,503 - pyskl - INFO - mean_acc 0.7909 2023-12-12 13:49:43,506 - pyskl - INFO - Epoch(val) [46][533] top1_acc: 0.8399, top5_acc: 0.9842, mean_class_accuracy: 0.7909 2023-12-12 13:50:41,555 - pyskl - INFO - Epoch [47][100/1281] lr: 1.962e-02, eta: 15:13:42, time: 0.580, data_time: 0.205, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9919, loss_cls: 0.5817, loss: 0.5817 2023-12-12 13:51:23,561 - pyskl - INFO - Epoch [47][200/1281] lr: 1.960e-02, eta: 15:13:03, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9969, loss_cls: 0.5594, loss: 0.5594 2023-12-12 13:52:05,768 - pyskl - INFO - Epoch [47][300/1281] lr: 1.958e-02, eta: 15:12:24, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9981, loss_cls: 0.5659, loss: 0.5659 2023-12-12 13:52:47,891 - pyskl - INFO - Epoch [47][400/1281] lr: 1.957e-02, eta: 15:11:45, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9988, loss_cls: 0.5453, loss: 0.5453 2023-12-12 13:53:29,921 - pyskl - INFO - Epoch [47][500/1281] lr: 1.955e-02, eta: 15:11:06, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 0.5163, loss: 0.5163 2023-12-12 13:54:11,935 - pyskl - INFO - Epoch [47][600/1281] lr: 1.953e-02, eta: 15:10:26, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9975, loss_cls: 0.4747, loss: 0.4747 2023-12-12 13:54:54,141 - pyskl - INFO - Epoch [47][700/1281] lr: 1.952e-02, eta: 15:09:47, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9962, loss_cls: 0.5417, loss: 0.5417 2023-12-12 13:55:36,093 - pyskl - INFO - Epoch [47][800/1281] lr: 1.950e-02, eta: 15:09:08, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9950, loss_cls: 0.6112, loss: 0.6112 2023-12-12 13:56:18,149 - pyskl - INFO - Epoch [47][900/1281] lr: 1.948e-02, eta: 15:08:29, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9962, loss_cls: 0.6022, loss: 0.6022 2023-12-12 13:57:00,317 - pyskl - INFO - Epoch [47][1000/1281] lr: 1.947e-02, eta: 15:07:49, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9900, loss_cls: 0.6959, loss: 0.6959 2023-12-12 13:57:42,346 - pyskl - INFO - Epoch [47][1100/1281] lr: 1.945e-02, eta: 15:07:10, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9962, loss_cls: 0.5251, loss: 0.5251 2023-12-12 13:58:24,332 - pyskl - INFO - Epoch [47][1200/1281] lr: 1.943e-02, eta: 15:06:31, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9988, loss_cls: 0.5419, loss: 0.5419 2023-12-12 13:58:59,019 - pyskl - INFO - Saving checkpoint at 47 epochs 2023-12-12 14:00:10,345 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 14:00:10,415 - pyskl - INFO - top1_acc 0.8688 top5_acc 0.9885 2023-12-12 14:00:10,415 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 14:00:10,423 - pyskl - INFO - mean_acc 0.8200 2023-12-12 14:00:10,427 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_41.pth was removed 2023-12-12 14:00:10,693 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. 2023-12-12 14:00:10,693 - pyskl - INFO - Best top1_acc is 0.8688 at 47 epoch. 2023-12-12 14:00:10,697 - pyskl - INFO - Epoch(val) [47][533] top1_acc: 0.8688, top5_acc: 0.9885, mean_class_accuracy: 0.8200 2023-12-12 14:01:09,341 - pyskl - INFO - Epoch [48][100/1281] lr: 1.940e-02, eta: 15:04:41, time: 0.586, data_time: 0.206, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9962, loss_cls: 0.5246, loss: 0.5246 2023-12-12 14:01:51,434 - pyskl - INFO - Epoch [48][200/1281] lr: 1.938e-02, eta: 15:04:02, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9969, loss_cls: 0.5004, loss: 0.5004 2023-12-12 14:02:33,396 - pyskl - INFO - Epoch [48][300/1281] lr: 1.937e-02, eta: 15:03:23, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9988, loss_cls: 0.4640, loss: 0.4640 2023-12-12 14:03:15,369 - pyskl - INFO - Epoch [48][400/1281] lr: 1.935e-02, eta: 15:02:43, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9988, loss_cls: 0.4849, loss: 0.4849 2023-12-12 14:03:57,912 - pyskl - INFO - Epoch [48][500/1281] lr: 1.933e-02, eta: 15:02:05, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9988, loss_cls: 0.4668, loss: 0.4668 2023-12-12 14:04:39,937 - pyskl - INFO - Epoch [48][600/1281] lr: 1.932e-02, eta: 15:01:26, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9988, loss_cls: 0.4980, loss: 0.4980 2023-12-12 14:05:22,228 - pyskl - INFO - Epoch [48][700/1281] lr: 1.930e-02, eta: 15:00:47, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9962, loss_cls: 0.5962, loss: 0.5962 2023-12-12 14:06:05,210 - pyskl - INFO - Epoch [48][800/1281] lr: 1.928e-02, eta: 15:00:10, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9931, loss_cls: 0.5945, loss: 0.5945 2023-12-12 14:06:48,343 - pyskl - INFO - Epoch [48][900/1281] lr: 1.926e-02, eta: 14:59:33, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9975, loss_cls: 0.5657, loss: 0.5657 2023-12-12 14:07:31,452 - pyskl - INFO - Epoch [48][1000/1281] lr: 1.925e-02, eta: 14:58:55, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9969, loss_cls: 0.5620, loss: 0.5620 2023-12-12 14:08:14,760 - pyskl - INFO - Epoch [48][1100/1281] lr: 1.923e-02, eta: 14:58:19, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9950, loss_cls: 0.5928, loss: 0.5928 2023-12-12 14:08:58,056 - pyskl - INFO - Epoch [48][1200/1281] lr: 1.921e-02, eta: 14:57:42, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9938, loss_cls: 0.5792, loss: 0.5792 2023-12-12 14:09:33,913 - pyskl - INFO - Saving checkpoint at 48 epochs 2023-12-12 14:10:46,249 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 14:10:46,306 - pyskl - INFO - top1_acc 0.8629 top5_acc 0.9913 2023-12-12 14:10:46,307 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 14:10:46,314 - pyskl - INFO - mean_acc 0.8100 2023-12-12 14:10:46,317 - pyskl - INFO - Epoch(val) [48][533] top1_acc: 0.8629, top5_acc: 0.9913, mean_class_accuracy: 0.8100 2023-12-12 14:11:42,531 - pyskl - INFO - Epoch [49][100/1281] lr: 1.918e-02, eta: 14:55:49, time: 0.562, data_time: 0.196, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9969, loss_cls: 0.5049, loss: 0.5049 2023-12-12 14:12:24,438 - pyskl - INFO - Epoch [49][200/1281] lr: 1.916e-02, eta: 14:55:09, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 0.4657, loss: 0.4657 2023-12-12 14:13:06,452 - pyskl - INFO - Epoch [49][300/1281] lr: 1.915e-02, eta: 14:54:30, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9975, loss_cls: 0.5879, loss: 0.5879 2023-12-12 14:13:49,058 - pyskl - INFO - Epoch [49][400/1281] lr: 1.913e-02, eta: 14:53:51, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9981, loss_cls: 0.5304, loss: 0.5304 2023-12-12 14:14:31,138 - pyskl - INFO - Epoch [49][500/1281] lr: 1.911e-02, eta: 14:53:12, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9975, loss_cls: 0.6012, loss: 0.6012 2023-12-12 14:15:13,220 - pyskl - INFO - Epoch [49][600/1281] lr: 1.909e-02, eta: 14:52:33, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9975, loss_cls: 0.5345, loss: 0.5345 2023-12-12 14:15:55,873 - pyskl - INFO - Epoch [49][700/1281] lr: 1.908e-02, eta: 14:51:55, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9938, loss_cls: 0.5738, loss: 0.5738 2023-12-12 14:16:38,547 - pyskl - INFO - Epoch [49][800/1281] lr: 1.906e-02, eta: 14:51:17, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9962, loss_cls: 0.5731, loss: 0.5731 2023-12-12 14:17:21,587 - pyskl - INFO - Epoch [49][900/1281] lr: 1.904e-02, eta: 14:50:39, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9981, loss_cls: 0.5366, loss: 0.5366 2023-12-12 14:18:04,093 - pyskl - INFO - Epoch [49][1000/1281] lr: 1.902e-02, eta: 14:50:01, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9956, loss_cls: 0.5325, loss: 0.5325 2023-12-12 14:18:46,153 - pyskl - INFO - Epoch [49][1100/1281] lr: 1.901e-02, eta: 14:49:22, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9994, loss_cls: 0.4597, loss: 0.4597 2023-12-12 14:19:28,155 - pyskl - INFO - Epoch [49][1200/1281] lr: 1.899e-02, eta: 14:48:42, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9931, loss_cls: 0.6424, loss: 0.6424 2023-12-12 14:20:03,166 - pyskl - INFO - Saving checkpoint at 49 epochs 2023-12-12 14:21:13,207 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 14:21:13,263 - pyskl - INFO - top1_acc 0.8642 top5_acc 0.9927 2023-12-12 14:21:13,263 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 14:21:13,272 - pyskl - INFO - mean_acc 0.8185 2023-12-12 14:21:13,275 - pyskl - INFO - Epoch(val) [49][533] top1_acc: 0.8642, top5_acc: 0.9927, mean_class_accuracy: 0.8185 2023-12-12 14:22:06,885 - pyskl - INFO - Epoch [50][100/1281] lr: 1.896e-02, eta: 14:46:44, time: 0.536, data_time: 0.190, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9994, loss_cls: 0.4869, loss: 0.4869 2023-12-12 14:22:49,142 - pyskl - INFO - Epoch [50][200/1281] lr: 1.894e-02, eta: 14:46:06, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9969, loss_cls: 0.5310, loss: 0.5310 2023-12-12 14:23:31,028 - pyskl - INFO - Epoch [50][300/1281] lr: 1.892e-02, eta: 14:45:26, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9969, loss_cls: 0.5622, loss: 0.5622 2023-12-12 14:24:13,205 - pyskl - INFO - Epoch [50][400/1281] lr: 1.891e-02, eta: 14:44:47, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 0.4980, loss: 0.4980 2023-12-12 14:24:56,427 - pyskl - INFO - Epoch [50][500/1281] lr: 1.889e-02, eta: 14:44:10, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9969, loss_cls: 0.5442, loss: 0.5442 2023-12-12 14:25:39,485 - pyskl - INFO - Epoch [50][600/1281] lr: 1.887e-02, eta: 14:43:33, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9956, loss_cls: 0.5685, loss: 0.5685 2023-12-12 14:26:21,677 - pyskl - INFO - Epoch [50][700/1281] lr: 1.885e-02, eta: 14:42:53, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9981, loss_cls: 0.5162, loss: 0.5162 2023-12-12 14:27:03,770 - pyskl - INFO - Epoch [50][800/1281] lr: 1.884e-02, eta: 14:42:14, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9975, loss_cls: 0.4546, loss: 0.4546 2023-12-12 14:27:45,853 - pyskl - INFO - Epoch [50][900/1281] lr: 1.882e-02, eta: 14:41:35, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9962, loss_cls: 0.5645, loss: 0.5645 2023-12-12 14:28:29,039 - pyskl - INFO - Epoch [50][1000/1281] lr: 1.880e-02, eta: 14:40:58, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9938, loss_cls: 0.5548, loss: 0.5548 2023-12-12 14:29:12,186 - pyskl - INFO - Epoch [50][1100/1281] lr: 1.878e-02, eta: 14:40:21, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9969, loss_cls: 0.5293, loss: 0.5293 2023-12-12 14:29:54,670 - pyskl - INFO - Epoch [50][1200/1281] lr: 1.876e-02, eta: 14:39:42, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9981, loss_cls: 0.6028, loss: 0.6028 2023-12-12 14:30:29,398 - pyskl - INFO - Saving checkpoint at 50 epochs 2023-12-12 14:31:39,666 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 14:31:39,729 - pyskl - INFO - top1_acc 0.8423 top5_acc 0.9905 2023-12-12 14:31:39,729 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 14:31:39,739 - pyskl - INFO - mean_acc 0.7811 2023-12-12 14:31:39,743 - pyskl - INFO - Epoch(val) [50][533] top1_acc: 0.8423, top5_acc: 0.9905, mean_class_accuracy: 0.7811 2023-12-12 14:32:35,166 - pyskl - INFO - Epoch [51][100/1281] lr: 1.873e-02, eta: 14:37:49, time: 0.554, data_time: 0.202, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9962, loss_cls: 0.4866, loss: 0.4866 2023-12-12 14:33:17,962 - pyskl - INFO - Epoch [51][200/1281] lr: 1.871e-02, eta: 14:37:11, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.4896, loss: 0.4896 2023-12-12 14:34:01,482 - pyskl - INFO - Epoch [51][300/1281] lr: 1.870e-02, eta: 14:36:35, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9988, loss_cls: 0.4791, loss: 0.4791 2023-12-12 14:34:43,523 - pyskl - INFO - Epoch [51][400/1281] lr: 1.868e-02, eta: 14:35:56, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9981, loss_cls: 0.4901, loss: 0.4901 2023-12-12 14:35:25,471 - pyskl - INFO - Epoch [51][500/1281] lr: 1.866e-02, eta: 14:35:16, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9981, loss_cls: 0.4554, loss: 0.4554 2023-12-12 14:36:07,586 - pyskl - INFO - Epoch [51][600/1281] lr: 1.864e-02, eta: 14:34:37, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9969, loss_cls: 0.5607, loss: 0.5607 2023-12-12 14:36:49,523 - pyskl - INFO - Epoch [51][700/1281] lr: 1.863e-02, eta: 14:33:57, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 0.4730, loss: 0.4730 2023-12-12 14:37:31,996 - pyskl - INFO - Epoch [51][800/1281] lr: 1.861e-02, eta: 14:33:18, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 0.4987, loss: 0.4987 2023-12-12 14:38:14,290 - pyskl - INFO - Epoch [51][900/1281] lr: 1.859e-02, eta: 14:32:40, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9975, loss_cls: 0.5426, loss: 0.5426 2023-12-12 14:38:56,749 - pyskl - INFO - Epoch [51][1000/1281] lr: 1.857e-02, eta: 14:32:01, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 0.5382, loss: 0.5382 2023-12-12 14:39:39,986 - pyskl - INFO - Epoch [51][1100/1281] lr: 1.855e-02, eta: 14:31:24, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9994, loss_cls: 0.5002, loss: 0.5002 2023-12-12 14:40:22,500 - pyskl - INFO - Epoch [51][1200/1281] lr: 1.854e-02, eta: 14:30:45, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9925, loss_cls: 0.5870, loss: 0.5870 2023-12-12 14:40:57,613 - pyskl - INFO - Saving checkpoint at 51 epochs 2023-12-12 14:42:05,305 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 14:42:05,377 - pyskl - INFO - top1_acc 0.8769 top5_acc 0.9946 2023-12-12 14:42:05,377 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 14:42:05,391 - pyskl - INFO - mean_acc 0.8313 2023-12-12 14:42:05,401 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_47.pth was removed 2023-12-12 14:42:05,632 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_51.pth. 2023-12-12 14:42:05,632 - pyskl - INFO - Best top1_acc is 0.8769 at 51 epoch. 2023-12-12 14:42:05,636 - pyskl - INFO - Epoch(val) [51][533] top1_acc: 0.8769, top5_acc: 0.9946, mean_class_accuracy: 0.8313 2023-12-12 14:43:00,861 - pyskl - INFO - Epoch [52][100/1281] lr: 1.850e-02, eta: 14:28:53, time: 0.552, data_time: 0.201, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9981, loss_cls: 0.5141, loss: 0.5141 2023-12-12 14:43:43,657 - pyskl - INFO - Epoch [52][200/1281] lr: 1.849e-02, eta: 14:28:15, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9969, loss_cls: 0.4731, loss: 0.4731 2023-12-12 14:44:26,932 - pyskl - INFO - Epoch [52][300/1281] lr: 1.847e-02, eta: 14:27:38, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9994, loss_cls: 0.4277, loss: 0.4277 2023-12-12 14:45:09,933 - pyskl - INFO - Epoch [52][400/1281] lr: 1.845e-02, eta: 14:27:01, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9962, loss_cls: 0.5225, loss: 0.5225 2023-12-12 14:45:53,508 - pyskl - INFO - Epoch [52][500/1281] lr: 1.843e-02, eta: 14:26:24, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 0.5333, loss: 0.5333 2023-12-12 14:46:36,860 - pyskl - INFO - Epoch [52][600/1281] lr: 1.841e-02, eta: 14:25:47, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 0.5396, loss: 0.5396 2023-12-12 14:47:20,268 - pyskl - INFO - Epoch [52][700/1281] lr: 1.840e-02, eta: 14:25:10, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9956, loss_cls: 0.5037, loss: 0.5037 2023-12-12 14:48:03,613 - pyskl - INFO - Epoch [52][800/1281] lr: 1.838e-02, eta: 14:24:33, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 0.5018, loss: 0.5018 2023-12-12 14:48:46,720 - pyskl - INFO - Epoch [52][900/1281] lr: 1.836e-02, eta: 14:23:56, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9981, loss_cls: 0.4856, loss: 0.4856 2023-12-12 14:49:29,891 - pyskl - INFO - Epoch [52][1000/1281] lr: 1.834e-02, eta: 14:23:19, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9956, loss_cls: 0.6048, loss: 0.6048 2023-12-12 14:50:13,409 - pyskl - INFO - Epoch [52][1100/1281] lr: 1.832e-02, eta: 14:22:42, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9975, loss_cls: 0.5564, loss: 0.5564 2023-12-12 14:50:56,769 - pyskl - INFO - Epoch [52][1200/1281] lr: 1.831e-02, eta: 14:22:05, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9969, loss_cls: 0.5678, loss: 0.5678 2023-12-12 14:51:32,582 - pyskl - INFO - Saving checkpoint at 52 epochs 2023-12-12 14:52:42,141 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 14:52:42,198 - pyskl - INFO - top1_acc 0.8485 top5_acc 0.9900 2023-12-12 14:52:42,198 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 14:52:42,205 - pyskl - INFO - mean_acc 0.7925 2023-12-12 14:52:42,207 - pyskl - INFO - Epoch(val) [52][533] top1_acc: 0.8485, top5_acc: 0.9900, mean_class_accuracy: 0.7925 2023-12-12 14:53:36,176 - pyskl - INFO - Epoch [53][100/1281] lr: 1.827e-02, eta: 14:20:12, time: 0.540, data_time: 0.189, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9956, loss_cls: 0.5465, loss: 0.5465 2023-12-12 14:54:18,536 - pyskl - INFO - Epoch [53][200/1281] lr: 1.826e-02, eta: 14:19:33, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 0.5141, loss: 0.5141 2023-12-12 14:55:00,625 - pyskl - INFO - Epoch [53][300/1281] lr: 1.824e-02, eta: 14:18:53, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9962, loss_cls: 0.5182, loss: 0.5182 2023-12-12 14:55:42,728 - pyskl - INFO - Epoch [53][400/1281] lr: 1.822e-02, eta: 14:18:14, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9988, loss_cls: 0.4480, loss: 0.4480 2023-12-12 14:56:24,740 - pyskl - INFO - Epoch [53][500/1281] lr: 1.820e-02, eta: 14:17:34, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9975, loss_cls: 0.4732, loss: 0.4732 2023-12-12 14:57:06,597 - pyskl - INFO - Epoch [53][600/1281] lr: 1.818e-02, eta: 14:16:55, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9975, loss_cls: 0.5329, loss: 0.5329 2023-12-12 14:57:48,878 - pyskl - INFO - Epoch [53][700/1281] lr: 1.816e-02, eta: 14:16:16, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9981, loss_cls: 0.4656, loss: 0.4656 2023-12-12 14:58:31,570 - pyskl - INFO - Epoch [53][800/1281] lr: 1.815e-02, eta: 14:15:37, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9975, loss_cls: 0.5264, loss: 0.5264 2023-12-12 14:59:13,747 - pyskl - INFO - Epoch [53][900/1281] lr: 1.813e-02, eta: 14:14:58, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9981, loss_cls: 0.5166, loss: 0.5166 2023-12-12 14:59:55,869 - pyskl - INFO - Epoch [53][1000/1281] lr: 1.811e-02, eta: 14:14:19, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9962, loss_cls: 0.5762, loss: 0.5762 2023-12-12 15:00:37,843 - pyskl - INFO - Epoch [53][1100/1281] lr: 1.809e-02, eta: 14:13:39, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9962, loss_cls: 0.5425, loss: 0.5425 2023-12-12 15:01:20,044 - pyskl - INFO - Epoch [53][1200/1281] lr: 1.807e-02, eta: 14:13:00, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9969, loss_cls: 0.4689, loss: 0.4689 2023-12-12 15:01:54,976 - pyskl - INFO - Saving checkpoint at 53 epochs 2023-12-12 15:03:03,317 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 15:03:03,398 - pyskl - INFO - top1_acc 0.8576 top5_acc 0.9860 2023-12-12 15:03:03,398 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 15:03:03,409 - pyskl - INFO - mean_acc 0.8149 2023-12-12 15:03:03,413 - pyskl - INFO - Epoch(val) [53][533] top1_acc: 0.8576, top5_acc: 0.9860, mean_class_accuracy: 0.8149 2023-12-12 15:03:57,446 - pyskl - INFO - Epoch [54][100/1281] lr: 1.804e-02, eta: 14:11:08, time: 0.540, data_time: 0.200, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9981, loss_cls: 0.4762, loss: 0.4762 2023-12-12 15:04:40,630 - pyskl - INFO - Epoch [54][200/1281] lr: 1.802e-02, eta: 14:10:30, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 0.4151, loss: 0.4151 2023-12-12 15:05:22,691 - pyskl - INFO - Epoch [54][300/1281] lr: 1.800e-02, eta: 14:09:51, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 0.4422, loss: 0.4422 2023-12-12 15:06:05,096 - pyskl - INFO - Epoch [54][400/1281] lr: 1.798e-02, eta: 14:09:12, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 0.4885, loss: 0.4885 2023-12-12 15:06:48,625 - pyskl - INFO - Epoch [54][500/1281] lr: 1.797e-02, eta: 14:08:35, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 0.4321, loss: 0.4321 2023-12-12 15:07:30,720 - pyskl - INFO - Epoch [54][600/1281] lr: 1.795e-02, eta: 14:07:56, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9975, loss_cls: 0.5287, loss: 0.5287 2023-12-12 15:08:12,599 - pyskl - INFO - Epoch [54][700/1281] lr: 1.793e-02, eta: 14:07:16, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9956, loss_cls: 0.5380, loss: 0.5380 2023-12-12 15:08:54,914 - pyskl - INFO - Epoch [54][800/1281] lr: 1.791e-02, eta: 14:06:37, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9925, loss_cls: 0.5403, loss: 0.5403 2023-12-12 15:09:38,535 - pyskl - INFO - Epoch [54][900/1281] lr: 1.789e-02, eta: 14:06:00, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9975, loss_cls: 0.5149, loss: 0.5149 2023-12-12 15:10:21,946 - pyskl - INFO - Epoch [54][1000/1281] lr: 1.787e-02, eta: 14:05:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9988, loss_cls: 0.4772, loss: 0.4772 2023-12-12 15:11:05,422 - pyskl - INFO - Epoch [54][1100/1281] lr: 1.786e-02, eta: 14:04:46, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 0.5005, loss: 0.5005 2023-12-12 15:11:47,530 - pyskl - INFO - Epoch [54][1200/1281] lr: 1.784e-02, eta: 14:04:07, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9956, loss_cls: 0.5665, loss: 0.5665 2023-12-12 15:12:22,251 - pyskl - INFO - Saving checkpoint at 54 epochs 2023-12-12 15:13:28,114 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 15:13:28,172 - pyskl - INFO - top1_acc 0.8632 top5_acc 0.9899 2023-12-12 15:13:28,172 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 15:13:28,181 - pyskl - INFO - mean_acc 0.7958 2023-12-12 15:13:28,183 - pyskl - INFO - Epoch(val) [54][533] top1_acc: 0.8632, top5_acc: 0.9899, mean_class_accuracy: 0.7958 2023-12-12 15:14:20,479 - pyskl - INFO - Epoch [55][100/1281] lr: 1.780e-02, eta: 14:02:13, time: 0.523, data_time: 0.204, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9938, loss_cls: 0.5432, loss: 0.5432 2023-12-12 15:15:02,733 - pyskl - INFO - Epoch [55][200/1281] lr: 1.779e-02, eta: 14:01:34, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9994, loss_cls: 0.4595, loss: 0.4595 2023-12-12 15:15:45,883 - pyskl - INFO - Epoch [55][300/1281] lr: 1.777e-02, eta: 14:00:56, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9975, loss_cls: 0.4776, loss: 0.4776 2023-12-12 15:16:29,160 - pyskl - INFO - Epoch [55][400/1281] lr: 1.775e-02, eta: 14:00:19, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 1.0000, loss_cls: 0.4278, loss: 0.4278 2023-12-12 15:17:12,410 - pyskl - INFO - Epoch [55][500/1281] lr: 1.773e-02, eta: 13:59:41, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 0.5284, loss: 0.5284 2023-12-12 15:17:55,819 - pyskl - INFO - Epoch [55][600/1281] lr: 1.771e-02, eta: 13:59:04, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9969, loss_cls: 0.4973, loss: 0.4973 2023-12-12 15:18:38,885 - pyskl - INFO - Epoch [55][700/1281] lr: 1.769e-02, eta: 13:58:26, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 0.5022, loss: 0.5022 2023-12-12 15:19:22,173 - pyskl - INFO - Epoch [55][800/1281] lr: 1.767e-02, eta: 13:57:49, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9975, loss_cls: 0.4686, loss: 0.4686 2023-12-12 15:20:04,769 - pyskl - INFO - Epoch [55][900/1281] lr: 1.766e-02, eta: 13:57:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9981, loss_cls: 0.5331, loss: 0.5331 2023-12-12 15:20:48,230 - pyskl - INFO - Epoch [55][1000/1281] lr: 1.764e-02, eta: 13:56:33, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9981, loss_cls: 0.4515, loss: 0.4515 2023-12-12 15:21:31,659 - pyskl - INFO - Epoch [55][1100/1281] lr: 1.762e-02, eta: 13:55:56, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9962, loss_cls: 0.4836, loss: 0.4836 2023-12-12 15:22:15,073 - pyskl - INFO - Epoch [55][1200/1281] lr: 1.760e-02, eta: 13:55:19, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 0.4711, loss: 0.4711 2023-12-12 15:22:51,002 - pyskl - INFO - Saving checkpoint at 55 epochs 2023-12-12 15:23:54,637 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 15:23:54,707 - pyskl - INFO - top1_acc 0.8585 top5_acc 0.9896 2023-12-12 15:23:54,708 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 15:23:54,721 - pyskl - INFO - mean_acc 0.8141 2023-12-12 15:23:54,726 - pyskl - INFO - Epoch(val) [55][533] top1_acc: 0.8585, top5_acc: 0.9896, mean_class_accuracy: 0.8141 2023-12-12 15:24:47,527 - pyskl - INFO - Epoch [56][100/1281] lr: 1.757e-02, eta: 13:53:27, time: 0.528, data_time: 0.210, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9994, loss_cls: 0.4547, loss: 0.4547 2023-12-12 15:25:30,761 - pyskl - INFO - Epoch [56][200/1281] lr: 1.755e-02, eta: 13:52:49, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9981, loss_cls: 0.4515, loss: 0.4515 2023-12-12 15:26:13,495 - pyskl - INFO - Epoch [56][300/1281] lr: 1.753e-02, eta: 13:52:11, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9988, loss_cls: 0.4833, loss: 0.4833 2023-12-12 15:26:55,530 - pyskl - INFO - Epoch [56][400/1281] lr: 1.751e-02, eta: 13:51:31, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 0.4964, loss: 0.4964 2023-12-12 15:27:37,955 - pyskl - INFO - Epoch [56][500/1281] lr: 1.749e-02, eta: 13:50:53, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9975, loss_cls: 0.5540, loss: 0.5540 2023-12-12 15:28:20,790 - pyskl - INFO - Epoch [56][600/1281] lr: 1.747e-02, eta: 13:50:14, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9956, loss_cls: 0.5383, loss: 0.5383 2023-12-12 15:29:02,899 - pyskl - INFO - Epoch [56][700/1281] lr: 1.745e-02, eta: 13:49:35, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9994, loss_cls: 0.4419, loss: 0.4419 2023-12-12 15:29:44,892 - pyskl - INFO - Epoch [56][800/1281] lr: 1.743e-02, eta: 13:48:55, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9981, loss_cls: 0.4639, loss: 0.4639 2023-12-12 15:30:27,068 - pyskl - INFO - Epoch [56][900/1281] lr: 1.742e-02, eta: 13:48:16, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9969, loss_cls: 0.5417, loss: 0.5417 2023-12-12 15:31:09,113 - pyskl - INFO - Epoch [56][1000/1281] lr: 1.740e-02, eta: 13:47:36, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9950, loss_cls: 0.5466, loss: 0.5466 2023-12-12 15:31:51,292 - pyskl - INFO - Epoch [56][1100/1281] lr: 1.738e-02, eta: 13:46:57, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 0.5268, loss: 0.5268 2023-12-12 15:32:33,434 - pyskl - INFO - Epoch [56][1200/1281] lr: 1.736e-02, eta: 13:46:17, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9944, loss_cls: 0.5566, loss: 0.5566 2023-12-12 15:33:08,138 - pyskl - INFO - Saving checkpoint at 56 epochs 2023-12-12 15:34:11,134 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 15:34:11,204 - pyskl - INFO - top1_acc 0.8500 top5_acc 0.9906 2023-12-12 15:34:11,204 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 15:34:11,217 - pyskl - INFO - mean_acc 0.7943 2023-12-12 15:34:11,224 - pyskl - INFO - Epoch(val) [56][533] top1_acc: 0.8500, top5_acc: 0.9906, mean_class_accuracy: 0.7943 2023-12-12 15:35:00,544 - pyskl - INFO - Epoch [57][100/1281] lr: 1.733e-02, eta: 13:44:21, time: 0.493, data_time: 0.194, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9975, loss_cls: 0.4633, loss: 0.4633 2023-12-12 15:35:43,887 - pyskl - INFO - Epoch [57][200/1281] lr: 1.731e-02, eta: 13:43:43, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 0.4494, loss: 0.4494 2023-12-12 15:36:26,988 - pyskl - INFO - Epoch [57][300/1281] lr: 1.729e-02, eta: 13:43:05, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 0.4929, loss: 0.4929 2023-12-12 15:37:09,202 - pyskl - INFO - Epoch [57][400/1281] lr: 1.727e-02, eta: 13:42:26, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9950, loss_cls: 0.4716, loss: 0.4716 2023-12-12 15:37:51,344 - pyskl - INFO - Epoch [57][500/1281] lr: 1.725e-02, eta: 13:41:47, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 0.5074, loss: 0.5074 2023-12-12 15:38:33,288 - pyskl - INFO - Epoch [57][600/1281] lr: 1.723e-02, eta: 13:41:07, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 0.5288, loss: 0.5288 2023-12-12 15:39:15,299 - pyskl - INFO - Epoch [57][700/1281] lr: 1.721e-02, eta: 13:40:27, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9969, loss_cls: 0.4615, loss: 0.4615 2023-12-12 15:39:57,580 - pyskl - INFO - Epoch [57][800/1281] lr: 1.719e-02, eta: 13:39:48, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.4696, loss: 0.4696 2023-12-12 15:40:40,617 - pyskl - INFO - Epoch [57][900/1281] lr: 1.717e-02, eta: 13:39:10, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9975, loss_cls: 0.5063, loss: 0.5063 2023-12-12 15:41:24,153 - pyskl - INFO - Epoch [57][1000/1281] lr: 1.716e-02, eta: 13:38:33, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9962, loss_cls: 0.4718, loss: 0.4718 2023-12-12 15:42:07,302 - pyskl - INFO - Epoch [57][1100/1281] lr: 1.714e-02, eta: 13:37:55, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9969, loss_cls: 0.5048, loss: 0.5048 2023-12-12 15:42:50,399 - pyskl - INFO - Epoch [57][1200/1281] lr: 1.712e-02, eta: 13:37:17, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 0.4926, loss: 0.4926 2023-12-12 15:43:25,636 - pyskl - INFO - Saving checkpoint at 57 epochs 2023-12-12 15:44:29,216 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 15:44:29,276 - pyskl - INFO - top1_acc 0.8740 top5_acc 0.9924 2023-12-12 15:44:29,276 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 15:44:29,285 - pyskl - INFO - mean_acc 0.8314 2023-12-12 15:44:29,287 - pyskl - INFO - Epoch(val) [57][533] top1_acc: 0.8740, top5_acc: 0.9924, mean_class_accuracy: 0.8314 2023-12-12 15:45:19,844 - pyskl - INFO - Epoch [58][100/1281] lr: 1.708e-02, eta: 13:35:24, time: 0.505, data_time: 0.204, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9994, loss_cls: 0.3992, loss: 0.3992 2023-12-12 15:46:02,540 - pyskl - INFO - Epoch [58][200/1281] lr: 1.706e-02, eta: 13:34:45, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 0.3648, loss: 0.3648 2023-12-12 15:46:45,087 - pyskl - INFO - Epoch [58][300/1281] lr: 1.704e-02, eta: 13:34:07, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9969, loss_cls: 0.5033, loss: 0.5033 2023-12-12 15:47:27,524 - pyskl - INFO - Epoch [58][400/1281] lr: 1.703e-02, eta: 13:33:28, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9975, loss_cls: 0.4536, loss: 0.4536 2023-12-12 15:48:11,002 - pyskl - INFO - Epoch [58][500/1281] lr: 1.701e-02, eta: 13:32:50, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9962, loss_cls: 0.4818, loss: 0.4818 2023-12-12 15:48:54,291 - pyskl - INFO - Epoch [58][600/1281] lr: 1.699e-02, eta: 13:32:13, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9981, loss_cls: 0.5052, loss: 0.5052 2023-12-12 15:49:36,646 - pyskl - INFO - Epoch [58][700/1281] lr: 1.697e-02, eta: 13:31:34, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9981, loss_cls: 0.4782, loss: 0.4782 2023-12-12 15:50:18,672 - pyskl - INFO - Epoch [58][800/1281] lr: 1.695e-02, eta: 13:30:54, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9962, loss_cls: 0.5647, loss: 0.5647 2023-12-12 15:51:00,805 - pyskl - INFO - Epoch [58][900/1281] lr: 1.693e-02, eta: 13:30:14, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9981, loss_cls: 0.4772, loss: 0.4772 2023-12-12 15:51:44,062 - pyskl - INFO - Epoch [58][1000/1281] lr: 1.691e-02, eta: 13:29:37, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 0.4561, loss: 0.4561 2023-12-12 15:52:27,321 - pyskl - INFO - Epoch [58][1100/1281] lr: 1.689e-02, eta: 13:28:59, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9031, top5_acc: 1.0000, loss_cls: 0.5013, loss: 0.5013 2023-12-12 15:53:09,890 - pyskl - INFO - Epoch [58][1200/1281] lr: 1.687e-02, eta: 13:28:20, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 0.4646, loss: 0.4646 2023-12-12 15:53:45,183 - pyskl - INFO - Saving checkpoint at 58 epochs 2023-12-12 15:54:46,964 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 15:54:47,022 - pyskl - INFO - top1_acc 0.8842 top5_acc 0.9928 2023-12-12 15:54:47,022 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 15:54:47,030 - pyskl - INFO - mean_acc 0.8361 2023-12-12 15:54:47,034 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_51.pth was removed 2023-12-12 15:54:47,266 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_58.pth. 2023-12-12 15:54:47,266 - pyskl - INFO - Best top1_acc is 0.8842 at 58 epoch. 2023-12-12 15:54:47,271 - pyskl - INFO - Epoch(val) [58][533] top1_acc: 0.8842, top5_acc: 0.9928, mean_class_accuracy: 0.8361 2023-12-12 15:55:36,313 - pyskl - INFO - Epoch [59][100/1281] lr: 1.684e-02, eta: 13:26:26, time: 0.490, data_time: 0.201, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 0.4415, loss: 0.4415 2023-12-12 15:56:18,566 - pyskl - INFO - Epoch [59][200/1281] lr: 1.682e-02, eta: 13:25:46, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 0.3999, loss: 0.3999 2023-12-12 15:57:00,711 - pyskl - INFO - Epoch [59][300/1281] lr: 1.680e-02, eta: 13:25:07, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 0.5005, loss: 0.5005 2023-12-12 15:57:42,825 - pyskl - INFO - Epoch [59][400/1281] lr: 1.678e-02, eta: 13:24:27, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 1.0000, loss_cls: 0.4523, loss: 0.4523 2023-12-12 15:58:24,931 - pyskl - INFO - Epoch [59][500/1281] lr: 1.676e-02, eta: 13:23:48, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 0.4826, loss: 0.4826 2023-12-12 15:59:07,119 - pyskl - INFO - Epoch [59][600/1281] lr: 1.674e-02, eta: 13:23:08, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9975, loss_cls: 0.4314, loss: 0.4314 2023-12-12 15:59:49,294 - pyskl - INFO - Epoch [59][700/1281] lr: 1.672e-02, eta: 13:22:29, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9969, loss_cls: 0.4674, loss: 0.4674 2023-12-12 16:00:31,455 - pyskl - INFO - Epoch [59][800/1281] lr: 1.670e-02, eta: 13:21:50, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9969, loss_cls: 0.4580, loss: 0.4580 2023-12-12 16:01:14,476 - pyskl - INFO - Epoch [59][900/1281] lr: 1.668e-02, eta: 13:21:11, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9969, loss_cls: 0.4374, loss: 0.4374 2023-12-12 16:01:56,454 - pyskl - INFO - Epoch [59][1000/1281] lr: 1.667e-02, eta: 13:20:32, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9969, loss_cls: 0.4476, loss: 0.4476 2023-12-12 16:02:38,612 - pyskl - INFO - Epoch [59][1100/1281] lr: 1.665e-02, eta: 13:19:52, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 0.4714, loss: 0.4714 2023-12-12 16:03:21,386 - pyskl - INFO - Epoch [59][1200/1281] lr: 1.663e-02, eta: 13:19:14, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 0.4986, loss: 0.4986 2023-12-12 16:03:56,315 - pyskl - INFO - Saving checkpoint at 59 epochs 2023-12-12 16:04:57,203 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 16:04:57,276 - pyskl - INFO - top1_acc 0.8734 top5_acc 0.9925 2023-12-12 16:04:57,277 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 16:04:57,288 - pyskl - INFO - mean_acc 0.8196 2023-12-12 16:04:57,292 - pyskl - INFO - Epoch(val) [59][533] top1_acc: 0.8734, top5_acc: 0.9925, mean_class_accuracy: 0.8196 2023-12-12 16:05:45,939 - pyskl - INFO - Epoch [60][100/1281] lr: 1.659e-02, eta: 13:17:20, time: 0.486, data_time: 0.203, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 0.3784, loss: 0.3784 2023-12-12 16:06:29,296 - pyskl - INFO - Epoch [60][200/1281] lr: 1.657e-02, eta: 13:16:42, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 0.3907, loss: 0.3907 2023-12-12 16:07:12,515 - pyskl - INFO - Epoch [60][300/1281] lr: 1.655e-02, eta: 13:16:04, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 0.4249, loss: 0.4249 2023-12-12 16:07:55,783 - pyskl - INFO - Epoch [60][400/1281] lr: 1.653e-02, eta: 13:15:27, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9969, loss_cls: 0.4260, loss: 0.4260 2023-12-12 16:08:38,832 - pyskl - INFO - Epoch [60][500/1281] lr: 1.651e-02, eta: 13:14:48, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 0.4665, loss: 0.4665 2023-12-12 16:09:22,116 - pyskl - INFO - Epoch [60][600/1281] lr: 1.650e-02, eta: 13:14:11, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9994, loss_cls: 0.4253, loss: 0.4253 2023-12-12 16:10:05,418 - pyskl - INFO - Epoch [60][700/1281] lr: 1.648e-02, eta: 13:13:33, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9981, loss_cls: 0.4625, loss: 0.4625 2023-12-12 16:10:48,768 - pyskl - INFO - Epoch [60][800/1281] lr: 1.646e-02, eta: 13:12:55, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9962, loss_cls: 0.4803, loss: 0.4803 2023-12-12 16:11:32,185 - pyskl - INFO - Epoch [60][900/1281] lr: 1.644e-02, eta: 13:12:18, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 0.4714, loss: 0.4714 2023-12-12 16:12:15,343 - pyskl - INFO - Epoch [60][1000/1281] lr: 1.642e-02, eta: 13:11:40, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 0.5011, loss: 0.5011 2023-12-12 16:12:57,348 - pyskl - INFO - Epoch [60][1100/1281] lr: 1.640e-02, eta: 13:11:00, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9969, loss_cls: 0.5099, loss: 0.5099 2023-12-12 16:13:39,614 - pyskl - INFO - Epoch [60][1200/1281] lr: 1.638e-02, eta: 13:10:21, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9988, loss_cls: 0.4818, loss: 0.4818 2023-12-12 16:14:14,645 - pyskl - INFO - Saving checkpoint at 60 epochs 2023-12-12 16:15:15,305 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 16:15:15,362 - pyskl - INFO - top1_acc 0.8849 top5_acc 0.9912 2023-12-12 16:15:15,363 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 16:15:15,370 - pyskl - INFO - mean_acc 0.8425 2023-12-12 16:15:15,374 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_58.pth was removed 2023-12-12 16:15:15,574 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_60.pth. 2023-12-12 16:15:15,574 - pyskl - INFO - Best top1_acc is 0.8849 at 60 epoch. 2023-12-12 16:15:15,577 - pyskl - INFO - Epoch(val) [60][533] top1_acc: 0.8849, top5_acc: 0.9912, mean_class_accuracy: 0.8425 2023-12-12 16:16:03,020 - pyskl - INFO - Epoch [61][100/1281] lr: 1.634e-02, eta: 13:08:26, time: 0.474, data_time: 0.191, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9956, loss_cls: 0.4739, loss: 0.4739 2023-12-12 16:16:45,168 - pyskl - INFO - Epoch [61][200/1281] lr: 1.632e-02, eta: 13:07:46, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 1.0000, loss_cls: 0.4295, loss: 0.4295 2023-12-12 16:17:28,322 - pyskl - INFO - Epoch [61][300/1281] lr: 1.630e-02, eta: 13:07:08, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9981, loss_cls: 0.4594, loss: 0.4594 2023-12-12 16:18:11,521 - pyskl - INFO - Epoch [61][400/1281] lr: 1.629e-02, eta: 13:06:31, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9988, loss_cls: 0.4556, loss: 0.4556 2023-12-12 16:18:54,485 - pyskl - INFO - Epoch [61][500/1281] lr: 1.627e-02, eta: 13:05:52, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9981, loss_cls: 0.4073, loss: 0.4073 2023-12-12 16:19:36,494 - pyskl - INFO - Epoch [61][600/1281] lr: 1.625e-02, eta: 13:05:13, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9988, loss_cls: 0.4403, loss: 0.4403 2023-12-12 16:20:18,426 - pyskl - INFO - Epoch [61][700/1281] lr: 1.623e-02, eta: 13:04:33, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9988, loss_cls: 0.4240, loss: 0.4240 2023-12-12 16:21:00,659 - pyskl - INFO - Epoch [61][800/1281] lr: 1.621e-02, eta: 13:03:53, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9962, loss_cls: 0.4833, loss: 0.4833 2023-12-12 16:21:42,711 - pyskl - INFO - Epoch [61][900/1281] lr: 1.619e-02, eta: 13:03:14, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9994, loss_cls: 0.4685, loss: 0.4685 2023-12-12 16:22:24,911 - pyskl - INFO - Epoch [61][1000/1281] lr: 1.617e-02, eta: 13:02:34, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 0.4804, loss: 0.4804 2023-12-12 16:23:06,926 - pyskl - INFO - Epoch [61][1100/1281] lr: 1.615e-02, eta: 13:01:55, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9975, loss_cls: 0.4739, loss: 0.4739 2023-12-12 16:23:48,832 - pyskl - INFO - Epoch [61][1200/1281] lr: 1.613e-02, eta: 13:01:15, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9969, loss_cls: 0.5558, loss: 0.5558 2023-12-12 16:24:23,874 - pyskl - INFO - Saving checkpoint at 61 epochs 2023-12-12 16:25:23,458 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 16:25:23,562 - pyskl - INFO - top1_acc 0.8946 top5_acc 0.9946 2023-12-12 16:25:23,562 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 16:25:23,578 - pyskl - INFO - mean_acc 0.8557 2023-12-12 16:25:23,587 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_60.pth was removed 2023-12-12 16:25:23,918 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_61.pth. 2023-12-12 16:25:23,919 - pyskl - INFO - Best top1_acc is 0.8946 at 61 epoch. 2023-12-12 16:25:23,924 - pyskl - INFO - Epoch(val) [61][533] top1_acc: 0.8946, top5_acc: 0.9946, mean_class_accuracy: 0.8557 2023-12-12 16:26:09,923 - pyskl - INFO - Epoch [62][100/1281] lr: 1.609e-02, eta: 12:59:19, time: 0.460, data_time: 0.196, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 0.4018, loss: 0.4018 2023-12-12 16:26:51,857 - pyskl - INFO - Epoch [62][200/1281] lr: 1.607e-02, eta: 12:58:39, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.5040, loss: 0.5040 2023-12-12 16:27:33,797 - pyskl - INFO - Epoch [62][300/1281] lr: 1.605e-02, eta: 12:57:59, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 0.4241, loss: 0.4241 2023-12-12 16:28:15,893 - pyskl - INFO - Epoch [62][400/1281] lr: 1.603e-02, eta: 12:57:20, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9988, loss_cls: 0.4709, loss: 0.4709 2023-12-12 16:28:58,097 - pyskl - INFO - Epoch [62][500/1281] lr: 1.602e-02, eta: 12:56:41, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9988, loss_cls: 0.4776, loss: 0.4776 2023-12-12 16:29:40,234 - pyskl - INFO - Epoch [62][600/1281] lr: 1.600e-02, eta: 12:56:01, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9975, loss_cls: 0.4275, loss: 0.4275 2023-12-12 16:30:22,358 - pyskl - INFO - Epoch [62][700/1281] lr: 1.598e-02, eta: 12:55:22, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 0.4309, loss: 0.4309 2023-12-12 16:31:05,439 - pyskl - INFO - Epoch [62][800/1281] lr: 1.596e-02, eta: 12:54:43, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9944, loss_cls: 0.4635, loss: 0.4635 2023-12-12 16:31:48,761 - pyskl - INFO - Epoch [62][900/1281] lr: 1.594e-02, eta: 12:54:06, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9975, loss_cls: 0.4751, loss: 0.4751 2023-12-12 16:32:31,147 - pyskl - INFO - Epoch [62][1000/1281] lr: 1.592e-02, eta: 12:53:26, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9975, loss_cls: 0.4850, loss: 0.4850 2023-12-12 16:33:13,862 - pyskl - INFO - Epoch [62][1100/1281] lr: 1.590e-02, eta: 12:52:48, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 0.4030, loss: 0.4030 2023-12-12 16:33:57,363 - pyskl - INFO - Epoch [62][1200/1281] lr: 1.588e-02, eta: 12:52:10, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9975, loss_cls: 0.4452, loss: 0.4452 2023-12-12 16:34:32,955 - pyskl - INFO - Saving checkpoint at 62 epochs 2023-12-12 16:35:32,595 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 16:35:32,666 - pyskl - INFO - top1_acc 0.8886 top5_acc 0.9947 2023-12-12 16:35:32,666 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 16:35:32,677 - pyskl - INFO - mean_acc 0.8408 2023-12-12 16:35:32,680 - pyskl - INFO - Epoch(val) [62][533] top1_acc: 0.8886, top5_acc: 0.9947, mean_class_accuracy: 0.8408 2023-12-12 16:36:21,956 - pyskl - INFO - Epoch [63][100/1281] lr: 1.584e-02, eta: 12:50:20, time: 0.493, data_time: 0.207, memory: 4120, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 0.3930, loss: 0.3930 2023-12-12 16:37:05,296 - pyskl - INFO - Epoch [63][200/1281] lr: 1.582e-02, eta: 12:49:42, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 0.3702, loss: 0.3702 2023-12-12 16:37:48,506 - pyskl - INFO - Epoch [63][300/1281] lr: 1.580e-02, eta: 12:49:04, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 0.3972, loss: 0.3972 2023-12-12 16:38:31,673 - pyskl - INFO - Epoch [63][400/1281] lr: 1.578e-02, eta: 12:48:26, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 0.4057, loss: 0.4057 2023-12-12 16:39:14,219 - pyskl - INFO - Epoch [63][500/1281] lr: 1.576e-02, eta: 12:47:47, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9962, loss_cls: 0.4680, loss: 0.4680 2023-12-12 16:39:56,250 - pyskl - INFO - Epoch [63][600/1281] lr: 1.574e-02, eta: 12:47:08, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9969, loss_cls: 0.4576, loss: 0.4576 2023-12-12 16:40:39,051 - pyskl - INFO - Epoch [63][700/1281] lr: 1.572e-02, eta: 12:46:29, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9988, loss_cls: 0.4738, loss: 0.4738 2023-12-12 16:41:22,054 - pyskl - INFO - Epoch [63][800/1281] lr: 1.570e-02, eta: 12:45:51, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9994, loss_cls: 0.3882, loss: 0.3882 2023-12-12 16:42:04,033 - pyskl - INFO - Epoch [63][900/1281] lr: 1.568e-02, eta: 12:45:11, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9956, loss_cls: 0.5165, loss: 0.5165 2023-12-12 16:42:45,996 - pyskl - INFO - Epoch [63][1000/1281] lr: 1.566e-02, eta: 12:44:31, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9969, loss_cls: 0.4934, loss: 0.4934 2023-12-12 16:43:28,218 - pyskl - INFO - Epoch [63][1100/1281] lr: 1.564e-02, eta: 12:43:52, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9969, loss_cls: 0.4565, loss: 0.4565 2023-12-12 16:44:10,344 - pyskl - INFO - Epoch [63][1200/1281] lr: 1.562e-02, eta: 12:43:12, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.4299, loss: 0.4299 2023-12-12 16:44:45,101 - pyskl - INFO - Saving checkpoint at 63 epochs 2023-12-12 16:45:45,981 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 16:45:46,044 - pyskl - INFO - top1_acc 0.8761 top5_acc 0.9942 2023-12-12 16:45:46,044 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 16:45:46,055 - pyskl - INFO - mean_acc 0.8378 2023-12-12 16:45:46,058 - pyskl - INFO - Epoch(val) [63][533] top1_acc: 0.8761, top5_acc: 0.9942, mean_class_accuracy: 0.8378 2023-12-12 16:46:32,550 - pyskl - INFO - Epoch [64][100/1281] lr: 1.559e-02, eta: 12:41:20, time: 0.465, data_time: 0.187, memory: 4120, top1_acc: 0.9281, top5_acc: 1.0000, loss_cls: 0.4121, loss: 0.4121 2023-12-12 16:47:14,993 - pyskl - INFO - Epoch [64][200/1281] lr: 1.557e-02, eta: 12:40:40, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 0.3967, loss: 0.3967 2023-12-12 16:47:56,997 - pyskl - INFO - Epoch [64][300/1281] lr: 1.555e-02, eta: 12:40:01, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 0.4223, loss: 0.4223 2023-12-12 16:48:39,127 - pyskl - INFO - Epoch [64][400/1281] lr: 1.553e-02, eta: 12:39:21, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9975, loss_cls: 0.4223, loss: 0.4223 2023-12-12 16:49:22,329 - pyskl - INFO - Epoch [64][500/1281] lr: 1.551e-02, eta: 12:38:43, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 0.4011, loss: 0.4011 2023-12-12 16:50:05,477 - pyskl - INFO - Epoch [64][600/1281] lr: 1.549e-02, eta: 12:38:05, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 0.3997, loss: 0.3997 2023-12-12 16:50:48,249 - pyskl - INFO - Epoch [64][700/1281] lr: 1.547e-02, eta: 12:37:26, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9994, loss_cls: 0.4587, loss: 0.4587 2023-12-12 16:51:30,521 - pyskl - INFO - Epoch [64][800/1281] lr: 1.545e-02, eta: 12:36:47, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 1.0000, loss_cls: 0.4624, loss: 0.4624 2023-12-12 16:52:12,578 - pyskl - INFO - Epoch [64][900/1281] lr: 1.543e-02, eta: 12:36:07, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9975, loss_cls: 0.4526, loss: 0.4526 2023-12-12 16:52:54,468 - pyskl - INFO - Epoch [64][1000/1281] lr: 1.541e-02, eta: 12:35:27, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9988, loss_cls: 0.4331, loss: 0.4331 2023-12-12 16:53:36,809 - pyskl - INFO - Epoch [64][1100/1281] lr: 1.539e-02, eta: 12:34:48, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 0.4227, loss: 0.4227 2023-12-12 16:54:18,694 - pyskl - INFO - Epoch [64][1200/1281] lr: 1.537e-02, eta: 12:34:08, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9975, loss_cls: 0.4810, loss: 0.4810 2023-12-12 16:54:53,654 - pyskl - INFO - Saving checkpoint at 64 epochs 2023-12-12 16:55:54,334 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 16:55:54,391 - pyskl - INFO - top1_acc 0.8688 top5_acc 0.9905 2023-12-12 16:55:54,391 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 16:55:54,399 - pyskl - INFO - mean_acc 0.8315 2023-12-12 16:55:54,402 - pyskl - INFO - Epoch(val) [64][533] top1_acc: 0.8688, top5_acc: 0.9905, mean_class_accuracy: 0.8315 2023-12-12 16:56:42,196 - pyskl - INFO - Epoch [65][100/1281] lr: 1.533e-02, eta: 12:32:18, time: 0.478, data_time: 0.201, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9962, loss_cls: 0.4254, loss: 0.4254 2023-12-12 16:57:25,306 - pyskl - INFO - Epoch [65][200/1281] lr: 1.531e-02, eta: 12:31:40, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 0.4077, loss: 0.4077 2023-12-12 16:58:08,455 - pyskl - INFO - Epoch [65][300/1281] lr: 1.529e-02, eta: 12:31:02, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 0.3920, loss: 0.3920 2023-12-12 16:58:51,269 - pyskl - INFO - Epoch [65][400/1281] lr: 1.527e-02, eta: 12:30:23, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.3628, loss: 0.3628 2023-12-12 16:59:33,418 - pyskl - INFO - Epoch [65][500/1281] lr: 1.526e-02, eta: 12:29:44, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9988, loss_cls: 0.4763, loss: 0.4763 2023-12-12 17:00:15,360 - pyskl - INFO - Epoch [65][600/1281] lr: 1.524e-02, eta: 12:29:04, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 0.4092, loss: 0.4092 2023-12-12 17:00:57,714 - pyskl - INFO - Epoch [65][700/1281] lr: 1.522e-02, eta: 12:28:25, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 0.4337, loss: 0.4337 2023-12-12 17:01:39,629 - pyskl - INFO - Epoch [65][800/1281] lr: 1.520e-02, eta: 12:27:45, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9981, loss_cls: 0.5117, loss: 0.5117 2023-12-12 17:02:22,131 - pyskl - INFO - Epoch [65][900/1281] lr: 1.518e-02, eta: 12:27:06, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 0.3904, loss: 0.3904 2023-12-12 17:03:04,741 - pyskl - INFO - Epoch [65][1000/1281] lr: 1.516e-02, eta: 12:26:27, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.4004, loss: 0.4004 2023-12-12 17:03:46,574 - pyskl - INFO - Epoch [65][1100/1281] lr: 1.514e-02, eta: 12:25:47, time: 0.418, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9969, loss_cls: 0.4670, loss: 0.4670 2023-12-12 17:04:29,641 - pyskl - INFO - Epoch [65][1200/1281] lr: 1.512e-02, eta: 12:25:09, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9975, loss_cls: 0.4023, loss: 0.4023 2023-12-12 17:05:05,480 - pyskl - INFO - Saving checkpoint at 65 epochs 2023-12-12 17:06:02,701 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 17:06:02,770 - pyskl - INFO - top1_acc 0.8883 top5_acc 0.9937 2023-12-12 17:06:02,770 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 17:06:02,780 - pyskl - INFO - mean_acc 0.8465 2023-12-12 17:06:02,783 - pyskl - INFO - Epoch(val) [65][533] top1_acc: 0.8883, top5_acc: 0.9937, mean_class_accuracy: 0.8465 2023-12-12 17:06:49,674 - pyskl - INFO - Epoch [66][100/1281] lr: 1.508e-02, eta: 12:23:19, time: 0.469, data_time: 0.204, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 0.3680, loss: 0.3680 2023-12-12 17:07:31,846 - pyskl - INFO - Epoch [66][200/1281] lr: 1.506e-02, eta: 12:22:39, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9994, loss_cls: 0.3788, loss: 0.3788 2023-12-12 17:08:13,958 - pyskl - INFO - Epoch [66][300/1281] lr: 1.504e-02, eta: 12:22:00, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.3571, loss: 0.3571 2023-12-12 17:08:56,051 - pyskl - INFO - Epoch [66][400/1281] lr: 1.502e-02, eta: 12:21:20, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9988, loss_cls: 0.4310, loss: 0.4310 2023-12-12 17:09:38,032 - pyskl - INFO - Epoch [66][500/1281] lr: 1.500e-02, eta: 12:20:40, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 0.4511, loss: 0.4511 2023-12-12 17:10:20,839 - pyskl - INFO - Epoch [66][600/1281] lr: 1.498e-02, eta: 12:20:02, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.4100, loss: 0.4100 2023-12-12 17:11:02,781 - pyskl - INFO - Epoch [66][700/1281] lr: 1.496e-02, eta: 12:19:22, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 0.4168, loss: 0.4168 2023-12-12 17:11:45,658 - pyskl - INFO - Epoch [66][800/1281] lr: 1.494e-02, eta: 12:18:43, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 0.3724, loss: 0.3724 2023-12-12 17:12:28,821 - pyskl - INFO - Epoch [66][900/1281] lr: 1.492e-02, eta: 12:18:05, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9994, loss_cls: 0.4034, loss: 0.4034 2023-12-12 17:13:11,912 - pyskl - INFO - Epoch [66][1000/1281] lr: 1.490e-02, eta: 12:17:27, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9962, loss_cls: 0.4620, loss: 0.4620 2023-12-12 17:13:55,076 - pyskl - INFO - Epoch [66][1100/1281] lr: 1.488e-02, eta: 12:16:48, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.4167, loss: 0.4167 2023-12-12 17:14:38,556 - pyskl - INFO - Epoch [66][1200/1281] lr: 1.486e-02, eta: 12:16:11, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 0.4117, loss: 0.4117 2023-12-12 17:15:13,984 - pyskl - INFO - Saving checkpoint at 66 epochs 2023-12-12 17:16:12,096 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 17:16:12,156 - pyskl - INFO - top1_acc 0.8860 top5_acc 0.9930 2023-12-12 17:16:12,157 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 17:16:12,168 - pyskl - INFO - mean_acc 0.8395 2023-12-12 17:16:12,171 - pyskl - INFO - Epoch(val) [66][533] top1_acc: 0.8860, top5_acc: 0.9930, mean_class_accuracy: 0.8395 2023-12-12 17:16:56,431 - pyskl - INFO - Epoch [67][100/1281] lr: 1.482e-02, eta: 12:14:18, time: 0.443, data_time: 0.196, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9962, loss_cls: 0.5153, loss: 0.5153 2023-12-12 17:17:38,395 - pyskl - INFO - Epoch [67][200/1281] lr: 1.480e-02, eta: 12:13:38, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9988, loss_cls: 0.4492, loss: 0.4492 2023-12-12 17:18:20,919 - pyskl - INFO - Epoch [67][300/1281] lr: 1.478e-02, eta: 12:12:59, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 0.4215, loss: 0.4215 2023-12-12 17:19:04,404 - pyskl - INFO - Epoch [67][400/1281] lr: 1.476e-02, eta: 12:12:22, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 0.4232, loss: 0.4232 2023-12-12 17:19:47,643 - pyskl - INFO - Epoch [67][500/1281] lr: 1.474e-02, eta: 12:11:43, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.4354, loss: 0.4354 2023-12-12 17:20:30,712 - pyskl - INFO - Epoch [67][600/1281] lr: 1.472e-02, eta: 12:11:05, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.3715, loss: 0.3715 2023-12-12 17:21:13,865 - pyskl - INFO - Epoch [67][700/1281] lr: 1.470e-02, eta: 12:10:27, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 0.3629, loss: 0.3629 2023-12-12 17:21:57,248 - pyskl - INFO - Epoch [67][800/1281] lr: 1.468e-02, eta: 12:09:49, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9994, loss_cls: 0.4009, loss: 0.4009 2023-12-12 17:22:40,458 - pyskl - INFO - Epoch [67][900/1281] lr: 1.466e-02, eta: 12:09:11, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9994, loss_cls: 0.4038, loss: 0.4038 2023-12-12 17:23:23,775 - pyskl - INFO - Epoch [67][1000/1281] lr: 1.464e-02, eta: 12:08:32, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 0.4398, loss: 0.4398 2023-12-12 17:24:06,811 - pyskl - INFO - Epoch [67][1100/1281] lr: 1.462e-02, eta: 12:07:54, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 0.3969, loss: 0.3969 2023-12-12 17:24:49,391 - pyskl - INFO - Epoch [67][1200/1281] lr: 1.460e-02, eta: 12:07:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9988, loss_cls: 0.4162, loss: 0.4162 2023-12-12 17:25:24,252 - pyskl - INFO - Saving checkpoint at 67 epochs 2023-12-12 17:26:21,800 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 17:26:21,870 - pyskl - INFO - top1_acc 0.8673 top5_acc 0.9913 2023-12-12 17:26:21,870 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 17:26:21,881 - pyskl - INFO - mean_acc 0.8255 2023-12-12 17:26:21,887 - pyskl - INFO - Epoch(val) [67][533] top1_acc: 0.8673, top5_acc: 0.9913, mean_class_accuracy: 0.8255 2023-12-12 17:27:08,443 - pyskl - INFO - Epoch [68][100/1281] lr: 1.456e-02, eta: 12:05:26, time: 0.465, data_time: 0.205, memory: 4120, top1_acc: 0.9413, top5_acc: 1.0000, loss_cls: 0.3906, loss: 0.3906 2023-12-12 17:27:51,714 - pyskl - INFO - Epoch [68][200/1281] lr: 1.454e-02, eta: 12:04:48, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9981, loss_cls: 0.4028, loss: 0.4028 2023-12-12 17:28:34,438 - pyskl - INFO - Epoch [68][300/1281] lr: 1.452e-02, eta: 12:04:09, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.3462, loss: 0.3462 2023-12-12 17:29:17,540 - pyskl - INFO - Epoch [68][400/1281] lr: 1.450e-02, eta: 12:03:31, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 0.3756, loss: 0.3756 2023-12-12 17:29:59,624 - pyskl - INFO - Epoch [68][500/1281] lr: 1.448e-02, eta: 12:02:51, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 0.3547, loss: 0.3547 2023-12-12 17:30:42,462 - pyskl - INFO - Epoch [68][600/1281] lr: 1.446e-02, eta: 12:02:13, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 1.0000, loss_cls: 0.3880, loss: 0.3880 2023-12-12 17:31:24,474 - pyskl - INFO - Epoch [68][700/1281] lr: 1.444e-02, eta: 12:01:33, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9981, loss_cls: 0.4368, loss: 0.4368 2023-12-12 17:32:07,348 - pyskl - INFO - Epoch [68][800/1281] lr: 1.442e-02, eta: 12:00:54, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 0.3711, loss: 0.3711 2023-12-12 17:32:50,916 - pyskl - INFO - Epoch [68][900/1281] lr: 1.440e-02, eta: 12:00:16, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9975, loss_cls: 0.3917, loss: 0.3917 2023-12-12 17:33:34,348 - pyskl - INFO - Epoch [68][1000/1281] lr: 1.438e-02, eta: 11:59:38, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 0.3718, loss: 0.3718 2023-12-12 17:34:17,072 - pyskl - INFO - Epoch [68][1100/1281] lr: 1.436e-02, eta: 11:58:59, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9975, loss_cls: 0.3929, loss: 0.3929 2023-12-12 17:34:59,009 - pyskl - INFO - Epoch [68][1200/1281] lr: 1.434e-02, eta: 11:58:20, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9962, loss_cls: 0.4293, loss: 0.4293 2023-12-12 17:35:33,704 - pyskl - INFO - Saving checkpoint at 68 epochs 2023-12-12 17:36:28,961 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 17:36:29,031 - pyskl - INFO - top1_acc 0.9017 top5_acc 0.9938 2023-12-12 17:36:29,032 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 17:36:29,042 - pyskl - INFO - mean_acc 0.8661 2023-12-12 17:36:29,056 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_61.pth was removed 2023-12-12 17:36:29,349 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_68.pth. 2023-12-12 17:36:29,350 - pyskl - INFO - Best top1_acc is 0.9017 at 68 epoch. 2023-12-12 17:36:29,353 - pyskl - INFO - Epoch(val) [68][533] top1_acc: 0.9017, top5_acc: 0.9938, mean_class_accuracy: 0.8661 2023-12-12 17:37:12,988 - pyskl - INFO - Epoch [69][100/1281] lr: 1.431e-02, eta: 11:56:29, time: 0.436, data_time: 0.203, memory: 4120, top1_acc: 0.9406, top5_acc: 1.0000, loss_cls: 0.3261, loss: 0.3261 2023-12-12 17:37:55,681 - pyskl - INFO - Epoch [69][200/1281] lr: 1.429e-02, eta: 11:55:50, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 0.3218, loss: 0.3218 2023-12-12 17:38:37,696 - pyskl - INFO - Epoch [69][300/1281] lr: 1.427e-02, eta: 11:55:10, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 1.0000, loss_cls: 0.3741, loss: 0.3741 2023-12-12 17:39:19,672 - pyskl - INFO - Epoch [69][400/1281] lr: 1.425e-02, eta: 11:54:30, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 0.3868, loss: 0.3868 2023-12-12 17:40:01,838 - pyskl - INFO - Epoch [69][500/1281] lr: 1.423e-02, eta: 11:53:51, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 0.3835, loss: 0.3835 2023-12-12 17:40:44,122 - pyskl - INFO - Epoch [69][600/1281] lr: 1.420e-02, eta: 11:53:11, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 1.0000, loss_cls: 0.4102, loss: 0.4102 2023-12-12 17:41:26,228 - pyskl - INFO - Epoch [69][700/1281] lr: 1.418e-02, eta: 11:52:32, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9994, loss_cls: 0.3840, loss: 0.3840 2023-12-12 17:42:08,058 - pyskl - INFO - Epoch [69][800/1281] lr: 1.416e-02, eta: 11:51:52, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9981, loss_cls: 0.3987, loss: 0.3987 2023-12-12 17:42:50,466 - pyskl - INFO - Epoch [69][900/1281] lr: 1.414e-02, eta: 11:51:12, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.3769, loss: 0.3769 2023-12-12 17:43:33,666 - pyskl - INFO - Epoch [69][1000/1281] lr: 1.412e-02, eta: 11:50:34, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9988, loss_cls: 0.4450, loss: 0.4450 2023-12-12 17:44:15,878 - pyskl - INFO - Epoch [69][1100/1281] lr: 1.410e-02, eta: 11:49:55, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9981, loss_cls: 0.4311, loss: 0.4311 2023-12-12 17:44:58,091 - pyskl - INFO - Epoch [69][1200/1281] lr: 1.408e-02, eta: 11:49:15, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9975, loss_cls: 0.5235, loss: 0.5235 2023-12-12 17:45:33,136 - pyskl - INFO - Saving checkpoint at 69 epochs 2023-12-12 17:46:28,746 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 17:46:28,813 - pyskl - INFO - top1_acc 0.8920 top5_acc 0.9935 2023-12-12 17:46:28,813 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 17:46:28,823 - pyskl - INFO - mean_acc 0.8418 2023-12-12 17:46:28,826 - pyskl - INFO - Epoch(val) [69][533] top1_acc: 0.8920, top5_acc: 0.9935, mean_class_accuracy: 0.8418 2023-12-12 17:47:11,283 - pyskl - INFO - Epoch [70][100/1281] lr: 1.405e-02, eta: 11:47:24, time: 0.425, data_time: 0.193, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 0.3966, loss: 0.3966 2023-12-12 17:47:53,572 - pyskl - INFO - Epoch [70][200/1281] lr: 1.403e-02, eta: 11:46:44, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9450, top5_acc: 1.0000, loss_cls: 0.3215, loss: 0.3215 2023-12-12 17:48:36,479 - pyskl - INFO - Epoch [70][300/1281] lr: 1.401e-02, eta: 11:46:06, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.3338, loss: 0.3338 2023-12-12 17:49:18,879 - pyskl - INFO - Epoch [70][400/1281] lr: 1.399e-02, eta: 11:45:26, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 0.3843, loss: 0.3843 2023-12-12 17:50:00,861 - pyskl - INFO - Epoch [70][500/1281] lr: 1.397e-02, eta: 11:44:47, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9975, loss_cls: 0.4167, loss: 0.4167 2023-12-12 17:50:42,895 - pyskl - INFO - Epoch [70][600/1281] lr: 1.395e-02, eta: 11:44:07, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 1.0000, loss_cls: 0.3841, loss: 0.3841 2023-12-12 17:51:25,105 - pyskl - INFO - Epoch [70][700/1281] lr: 1.392e-02, eta: 11:43:27, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9994, loss_cls: 0.3806, loss: 0.3806 2023-12-12 17:52:07,441 - pyskl - INFO - Epoch [70][800/1281] lr: 1.390e-02, eta: 11:42:48, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9981, loss_cls: 0.3817, loss: 0.3817 2023-12-12 17:52:50,772 - pyskl - INFO - Epoch [70][900/1281] lr: 1.388e-02, eta: 11:42:10, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 0.3619, loss: 0.3619 2023-12-12 17:53:34,083 - pyskl - INFO - Epoch [70][1000/1281] lr: 1.386e-02, eta: 11:41:32, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.3704, loss: 0.3704 2023-12-12 17:54:17,188 - pyskl - INFO - Epoch [70][1100/1281] lr: 1.384e-02, eta: 11:40:53, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 0.3817, loss: 0.3817 2023-12-12 17:55:00,541 - pyskl - INFO - Epoch [70][1200/1281] lr: 1.382e-02, eta: 11:40:15, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9969, loss_cls: 0.4118, loss: 0.4118 2023-12-12 17:55:35,858 - pyskl - INFO - Saving checkpoint at 70 epochs 2023-12-12 17:56:30,350 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 17:56:30,436 - pyskl - INFO - top1_acc 0.8730 top5_acc 0.9907 2023-12-12 17:56:30,436 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 17:56:30,444 - pyskl - INFO - mean_acc 0.8341 2023-12-12 17:56:30,447 - pyskl - INFO - Epoch(val) [70][533] top1_acc: 0.8730, top5_acc: 0.9907, mean_class_accuracy: 0.8341 2023-12-12 17:57:12,177 - pyskl - INFO - Epoch [71][100/1281] lr: 1.379e-02, eta: 11:38:24, time: 0.417, data_time: 0.201, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 0.4473, loss: 0.4473 2023-12-12 17:57:55,357 - pyskl - INFO - Epoch [71][200/1281] lr: 1.377e-02, eta: 11:37:45, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9969, loss_cls: 0.4465, loss: 0.4465 2023-12-12 17:58:38,663 - pyskl - INFO - Epoch [71][300/1281] lr: 1.375e-02, eta: 11:37:07, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 1.0000, loss_cls: 0.3666, loss: 0.3666 2023-12-12 17:59:22,076 - pyskl - INFO - Epoch [71][400/1281] lr: 1.373e-02, eta: 11:36:29, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 0.3773, loss: 0.3773 2023-12-12 18:00:05,017 - pyskl - INFO - Epoch [71][500/1281] lr: 1.371e-02, eta: 11:35:50, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 0.3752, loss: 0.3752 2023-12-12 18:00:47,128 - pyskl - INFO - Epoch [71][600/1281] lr: 1.368e-02, eta: 11:35:11, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 0.3199, loss: 0.3199 2023-12-12 18:01:29,107 - pyskl - INFO - Epoch [71][700/1281] lr: 1.366e-02, eta: 11:34:31, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 0.3587, loss: 0.3587 2023-12-12 18:02:11,131 - pyskl - INFO - Epoch [71][800/1281] lr: 1.364e-02, eta: 11:33:51, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9969, loss_cls: 0.4036, loss: 0.4036 2023-12-12 18:02:53,255 - pyskl - INFO - Epoch [71][900/1281] lr: 1.362e-02, eta: 11:33:12, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9981, loss_cls: 0.4328, loss: 0.4328 2023-12-12 18:03:35,441 - pyskl - INFO - Epoch [71][1000/1281] lr: 1.360e-02, eta: 11:32:32, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 0.4290, loss: 0.4290 2023-12-12 18:04:17,779 - pyskl - INFO - Epoch [71][1100/1281] lr: 1.358e-02, eta: 11:31:53, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3854, loss: 0.3854 2023-12-12 18:05:00,207 - pyskl - INFO - Epoch [71][1200/1281] lr: 1.356e-02, eta: 11:31:13, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 0.4189, loss: 0.4189 2023-12-12 18:05:35,652 - pyskl - INFO - Saving checkpoint at 71 epochs 2023-12-12 18:06:30,470 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 18:06:30,551 - pyskl - INFO - top1_acc 0.8661 top5_acc 0.9878 2023-12-12 18:06:30,552 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 18:06:30,577 - pyskl - INFO - mean_acc 0.8333 2023-12-12 18:06:30,592 - pyskl - INFO - Epoch(val) [71][533] top1_acc: 0.8661, top5_acc: 0.9878, mean_class_accuracy: 0.8333 2023-12-12 18:07:13,777 - pyskl - INFO - Epoch [72][100/1281] lr: 1.353e-02, eta: 11:29:25, time: 0.432, data_time: 0.203, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 0.3795, loss: 0.3795 2023-12-12 18:07:56,067 - pyskl - INFO - Epoch [72][200/1281] lr: 1.351e-02, eta: 11:28:45, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 0.3503, loss: 0.3503 2023-12-12 18:08:39,373 - pyskl - INFO - Epoch [72][300/1281] lr: 1.349e-02, eta: 11:28:07, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 0.3512, loss: 0.3512 2023-12-12 18:09:22,510 - pyskl - INFO - Epoch [72][400/1281] lr: 1.346e-02, eta: 11:27:29, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 1.0000, loss_cls: 0.3381, loss: 0.3381 2023-12-12 18:10:05,310 - pyskl - INFO - Epoch [72][500/1281] lr: 1.344e-02, eta: 11:26:50, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9994, loss_cls: 0.3612, loss: 0.3612 2023-12-12 18:10:48,529 - pyskl - INFO - Epoch [72][600/1281] lr: 1.342e-02, eta: 11:26:11, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 0.3409, loss: 0.3409 2023-12-12 18:11:30,681 - pyskl - INFO - Epoch [72][700/1281] lr: 1.340e-02, eta: 11:25:32, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9988, loss_cls: 0.4149, loss: 0.4149 2023-12-12 18:12:12,812 - pyskl - INFO - Epoch [72][800/1281] lr: 1.338e-02, eta: 11:24:52, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9981, loss_cls: 0.3804, loss: 0.3804 2023-12-12 18:12:55,459 - pyskl - INFO - Epoch [72][900/1281] lr: 1.336e-02, eta: 11:24:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 1.0000, loss_cls: 0.3728, loss: 0.3728 2023-12-12 18:13:38,706 - pyskl - INFO - Epoch [72][1000/1281] lr: 1.334e-02, eta: 11:23:35, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 0.4426, loss: 0.4426 2023-12-12 18:14:22,084 - pyskl - INFO - Epoch [72][1100/1281] lr: 1.332e-02, eta: 11:22:56, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 0.3798, loss: 0.3798 2023-12-12 18:15:04,858 - pyskl - INFO - Epoch [72][1200/1281] lr: 1.330e-02, eta: 11:22:18, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 0.3510, loss: 0.3510 2023-12-12 18:15:40,695 - pyskl - INFO - Saving checkpoint at 72 epochs 2023-12-12 18:16:36,234 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 18:16:36,304 - pyskl - INFO - top1_acc 0.8936 top5_acc 0.9940 2023-12-12 18:16:36,304 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 18:16:36,315 - pyskl - INFO - mean_acc 0.8576 2023-12-12 18:16:36,318 - pyskl - INFO - Epoch(val) [72][533] top1_acc: 0.8936, top5_acc: 0.9940, mean_class_accuracy: 0.8576 2023-12-12 18:17:18,869 - pyskl - INFO - Epoch [73][100/1281] lr: 1.326e-02, eta: 11:20:29, time: 0.425, data_time: 0.191, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 0.3012, loss: 0.3012 2023-12-12 18:17:59,266 - pyskl - INFO - Epoch [73][200/1281] lr: 1.324e-02, eta: 11:19:48, time: 0.404, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 0.3669, loss: 0.3669 2023-12-12 18:18:41,894 - pyskl - INFO - Epoch [73][300/1281] lr: 1.322e-02, eta: 11:19:09, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9988, loss_cls: 0.3902, loss: 0.3902 2023-12-12 18:19:24,140 - pyskl - INFO - Epoch [73][400/1281] lr: 1.320e-02, eta: 11:18:29, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 0.4205, loss: 0.4205 2023-12-12 18:20:06,073 - pyskl - INFO - Epoch [73][500/1281] lr: 1.318e-02, eta: 11:17:50, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9975, loss_cls: 0.3758, loss: 0.3758 2023-12-12 18:20:48,042 - pyskl - INFO - Epoch [73][600/1281] lr: 1.316e-02, eta: 11:17:10, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 0.3945, loss: 0.3945 2023-12-12 18:21:31,231 - pyskl - INFO - Epoch [73][700/1281] lr: 1.314e-02, eta: 11:16:31, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 0.3851, loss: 0.3851 2023-12-12 18:22:14,597 - pyskl - INFO - Epoch [73][800/1281] lr: 1.312e-02, eta: 11:15:53, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 0.3645, loss: 0.3645 2023-12-12 18:22:57,249 - pyskl - INFO - Epoch [73][900/1281] lr: 1.310e-02, eta: 11:15:14, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 1.0000, loss_cls: 0.3751, loss: 0.3751 2023-12-12 18:23:39,344 - pyskl - INFO - Epoch [73][1000/1281] lr: 1.308e-02, eta: 11:14:34, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 0.3708, loss: 0.3708 2023-12-12 18:24:21,251 - pyskl - INFO - Epoch [73][1100/1281] lr: 1.306e-02, eta: 11:13:54, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 0.3853, loss: 0.3853 2023-12-12 18:25:03,584 - pyskl - INFO - Epoch [73][1200/1281] lr: 1.304e-02, eta: 11:13:15, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 0.3756, loss: 0.3756 2023-12-12 18:25:38,702 - pyskl - INFO - Saving checkpoint at 73 epochs 2023-12-12 18:26:33,552 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 18:26:33,619 - pyskl - INFO - top1_acc 0.8689 top5_acc 0.9906 2023-12-12 18:26:33,619 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 18:26:33,627 - pyskl - INFO - mean_acc 0.8516 2023-12-12 18:26:33,629 - pyskl - INFO - Epoch(val) [73][533] top1_acc: 0.8689, top5_acc: 0.9906, mean_class_accuracy: 0.8516 2023-12-12 18:27:18,489 - pyskl - INFO - Epoch [74][100/1281] lr: 1.300e-02, eta: 11:11:30, time: 0.449, data_time: 0.203, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 0.3442, loss: 0.3442 2023-12-12 18:27:58,837 - pyskl - INFO - Epoch [74][200/1281] lr: 1.298e-02, eta: 11:10:49, time: 0.403, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.3264, loss: 0.3264 2023-12-12 18:28:42,131 - pyskl - INFO - Epoch [74][300/1281] lr: 1.296e-02, eta: 11:10:10, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 0.3171, loss: 0.3171 2023-12-12 18:29:24,520 - pyskl - INFO - Epoch [74][400/1281] lr: 1.294e-02, eta: 11:09:31, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 0.3666, loss: 0.3666 2023-12-12 18:30:06,563 - pyskl - INFO - Epoch [74][500/1281] lr: 1.292e-02, eta: 11:08:51, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.3174, loss: 0.3174 2023-12-12 18:30:48,507 - pyskl - INFO - Epoch [74][600/1281] lr: 1.290e-02, eta: 11:08:11, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.3252, loss: 0.3252 2023-12-12 18:31:30,641 - pyskl - INFO - Epoch [74][700/1281] lr: 1.288e-02, eta: 11:07:32, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9981, loss_cls: 0.3801, loss: 0.3801 2023-12-12 18:32:13,825 - pyskl - INFO - Epoch [74][800/1281] lr: 1.286e-02, eta: 11:06:53, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.3435, loss: 0.3435 2023-12-12 18:32:57,283 - pyskl - INFO - Epoch [74][900/1281] lr: 1.284e-02, eta: 11:06:15, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 0.4294, loss: 0.4294 2023-12-12 18:33:39,630 - pyskl - INFO - Epoch [74][1000/1281] lr: 1.282e-02, eta: 11:05:36, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9988, loss_cls: 0.3857, loss: 0.3857 2023-12-12 18:34:22,259 - pyskl - INFO - Epoch [74][1100/1281] lr: 1.280e-02, eta: 11:04:57, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 0.3839, loss: 0.3839 2023-12-12 18:35:05,543 - pyskl - INFO - Epoch [74][1200/1281] lr: 1.278e-02, eta: 11:04:18, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.3716, loss: 0.3716 2023-12-12 18:35:40,276 - pyskl - INFO - Saving checkpoint at 74 epochs 2023-12-12 18:36:33,855 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 18:36:33,914 - pyskl - INFO - top1_acc 0.8750 top5_acc 0.9920 2023-12-12 18:36:33,914 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 18:36:33,921 - pyskl - INFO - mean_acc 0.8358 2023-12-12 18:36:33,923 - pyskl - INFO - Epoch(val) [74][533] top1_acc: 0.8750, top5_acc: 0.9920, mean_class_accuracy: 0.8358 2023-12-12 18:37:20,294 - pyskl - INFO - Epoch [75][100/1281] lr: 1.274e-02, eta: 11:02:36, time: 0.464, data_time: 0.203, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 0.3480, loss: 0.3480 2023-12-12 18:37:58,846 - pyskl - INFO - Epoch [75][200/1281] lr: 1.272e-02, eta: 11:01:52, time: 0.385, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 0.3187, loss: 0.3187 2023-12-12 18:38:41,030 - pyskl - INFO - Epoch [75][300/1281] lr: 1.270e-02, eta: 11:01:13, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 1.0000, loss_cls: 0.3499, loss: 0.3499 2023-12-12 18:39:23,034 - pyskl - INFO - Epoch [75][400/1281] lr: 1.268e-02, eta: 11:00:33, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.3111, loss: 0.3111 2023-12-12 18:40:05,565 - pyskl - INFO - Epoch [75][500/1281] lr: 1.266e-02, eta: 10:59:54, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.3479, loss: 0.3479 2023-12-12 18:40:49,278 - pyskl - INFO - Epoch [75][600/1281] lr: 1.264e-02, eta: 10:59:16, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 1.0000, loss_cls: 0.4098, loss: 0.4098 2023-12-12 18:41:32,467 - pyskl - INFO - Epoch [75][700/1281] lr: 1.262e-02, eta: 10:58:37, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 0.3775, loss: 0.3775 2023-12-12 18:42:14,496 - pyskl - INFO - Epoch [75][800/1281] lr: 1.260e-02, eta: 10:57:58, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.3214, loss: 0.3214 2023-12-12 18:42:56,495 - pyskl - INFO - Epoch [75][900/1281] lr: 1.258e-02, eta: 10:57:18, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 0.3789, loss: 0.3789 2023-12-12 18:43:38,412 - pyskl - INFO - Epoch [75][1000/1281] lr: 1.256e-02, eta: 10:56:38, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 0.3680, loss: 0.3680 2023-12-12 18:44:20,443 - pyskl - INFO - Epoch [75][1100/1281] lr: 1.254e-02, eta: 10:55:58, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.3308, loss: 0.3308 2023-12-12 18:45:02,503 - pyskl - INFO - Epoch [75][1200/1281] lr: 1.252e-02, eta: 10:55:19, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 0.3458, loss: 0.3458 2023-12-12 18:45:37,416 - pyskl - INFO - Saving checkpoint at 75 epochs 2023-12-12 18:46:32,911 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 18:46:32,990 - pyskl - INFO - top1_acc 0.9044 top5_acc 0.9952 2023-12-12 18:46:32,991 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 18:46:33,005 - pyskl - INFO - mean_acc 0.8728 2023-12-12 18:46:33,013 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_68.pth was removed 2023-12-12 18:46:33,211 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_75.pth. 2023-12-12 18:46:33,212 - pyskl - INFO - Best top1_acc is 0.9044 at 75 epoch. 2023-12-12 18:46:33,215 - pyskl - INFO - Epoch(val) [75][533] top1_acc: 0.9044, top5_acc: 0.9952, mean_class_accuracy: 0.8728 2023-12-12 18:47:17,789 - pyskl - INFO - Epoch [76][100/1281] lr: 1.248e-02, eta: 10:53:35, time: 0.446, data_time: 0.191, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.3486, loss: 0.3486 2023-12-12 18:47:57,036 - pyskl - INFO - Epoch [76][200/1281] lr: 1.246e-02, eta: 10:52:53, time: 0.392, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 0.3655, loss: 0.3655 2023-12-12 18:48:39,184 - pyskl - INFO - Epoch [76][300/1281] lr: 1.244e-02, eta: 10:52:13, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9406, top5_acc: 1.0000, loss_cls: 0.3359, loss: 0.3359 2023-12-12 18:49:21,325 - pyskl - INFO - Epoch [76][400/1281] lr: 1.242e-02, eta: 10:51:34, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.3191, loss: 0.3191 2023-12-12 18:50:03,377 - pyskl - INFO - Epoch [76][500/1281] lr: 1.240e-02, eta: 10:50:54, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9988, loss_cls: 0.3797, loss: 0.3797 2023-12-12 18:50:45,601 - pyskl - INFO - Epoch [76][600/1281] lr: 1.238e-02, eta: 10:50:14, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.3223, loss: 0.3223 2023-12-12 18:51:28,999 - pyskl - INFO - Epoch [76][700/1281] lr: 1.236e-02, eta: 10:49:36, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.3329, loss: 0.3329 2023-12-12 18:52:12,438 - pyskl - INFO - Epoch [76][800/1281] lr: 1.234e-02, eta: 10:48:58, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9994, loss_cls: 0.3777, loss: 0.3777 2023-12-12 18:52:54,441 - pyskl - INFO - Epoch [76][900/1281] lr: 1.232e-02, eta: 10:48:18, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 0.3457, loss: 0.3457 2023-12-12 18:53:36,627 - pyskl - INFO - Epoch [76][1000/1281] lr: 1.230e-02, eta: 10:47:38, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 0.3413, loss: 0.3413 2023-12-12 18:54:18,648 - pyskl - INFO - Epoch [76][1100/1281] lr: 1.228e-02, eta: 10:46:59, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9975, loss_cls: 0.3927, loss: 0.3927 2023-12-12 18:55:00,843 - pyskl - INFO - Epoch [76][1200/1281] lr: 1.225e-02, eta: 10:46:19, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9994, loss_cls: 0.3619, loss: 0.3619 2023-12-12 18:55:35,860 - pyskl - INFO - Saving checkpoint at 76 epochs 2023-12-12 18:56:30,161 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 18:56:30,230 - pyskl - INFO - top1_acc 0.8863 top5_acc 0.9947 2023-12-12 18:56:30,230 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 18:56:30,238 - pyskl - INFO - mean_acc 0.8328 2023-12-12 18:56:30,241 - pyskl - INFO - Epoch(val) [76][533] top1_acc: 0.8863, top5_acc: 0.9947, mean_class_accuracy: 0.8328 2023-12-12 18:57:16,248 - pyskl - INFO - Epoch [77][100/1281] lr: 1.222e-02, eta: 10:44:38, time: 0.460, data_time: 0.206, memory: 4120, top1_acc: 0.9487, top5_acc: 1.0000, loss_cls: 0.3146, loss: 0.3146 2023-12-12 18:57:55,778 - pyskl - INFO - Epoch [77][200/1281] lr: 1.220e-02, eta: 10:43:56, time: 0.395, data_time: 0.001, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 0.3106, loss: 0.3106 2023-12-12 18:58:37,893 - pyskl - INFO - Epoch [77][300/1281] lr: 1.218e-02, eta: 10:43:16, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.2862, loss: 0.2862 2023-12-12 18:59:20,815 - pyskl - INFO - Epoch [77][400/1281] lr: 1.216e-02, eta: 10:42:37, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 0.3010, loss: 0.3010 2023-12-12 19:00:03,312 - pyskl - INFO - Epoch [77][500/1281] lr: 1.214e-02, eta: 10:41:58, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.3652, loss: 0.3652 2023-12-12 19:00:46,506 - pyskl - INFO - Epoch [77][600/1281] lr: 1.212e-02, eta: 10:41:19, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.3322, loss: 0.3322 2023-12-12 19:01:28,573 - pyskl - INFO - Epoch [77][700/1281] lr: 1.210e-02, eta: 10:40:40, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.3267, loss: 0.3267 2023-12-12 19:02:10,506 - pyskl - INFO - Epoch [77][800/1281] lr: 1.207e-02, eta: 10:40:00, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 0.3502, loss: 0.3502 2023-12-12 19:02:52,649 - pyskl - INFO - Epoch [77][900/1281] lr: 1.205e-02, eta: 10:39:20, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 0.3436, loss: 0.3436 2023-12-12 19:03:34,836 - pyskl - INFO - Epoch [77][1000/1281] lr: 1.203e-02, eta: 10:38:41, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9994, loss_cls: 0.3960, loss: 0.3960 2023-12-12 19:04:17,576 - pyskl - INFO - Epoch [77][1100/1281] lr: 1.201e-02, eta: 10:38:02, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 1.0000, loss_cls: 0.3723, loss: 0.3723 2023-12-12 19:05:00,883 - pyskl - INFO - Epoch [77][1200/1281] lr: 1.199e-02, eta: 10:37:23, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9988, loss_cls: 0.3885, loss: 0.3885 2023-12-12 19:05:36,279 - pyskl - INFO - Saving checkpoint at 77 epochs 2023-12-12 19:06:30,874 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 19:06:30,948 - pyskl - INFO - top1_acc 0.9042 top5_acc 0.9952 2023-12-12 19:06:30,948 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 19:06:30,960 - pyskl - INFO - mean_acc 0.8792 2023-12-12 19:06:30,964 - pyskl - INFO - Epoch(val) [77][533] top1_acc: 0.9042, top5_acc: 0.9952, mean_class_accuracy: 0.8792 2023-12-12 19:07:15,780 - pyskl - INFO - Epoch [78][100/1281] lr: 1.196e-02, eta: 10:35:42, time: 0.448, data_time: 0.199, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.2555, loss: 0.2555 2023-12-12 19:07:55,831 - pyskl - INFO - Epoch [78][200/1281] lr: 1.194e-02, eta: 10:35:00, time: 0.400, data_time: 0.001, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 0.2891, loss: 0.2891 2023-12-12 19:08:39,125 - pyskl - INFO - Epoch [78][300/1281] lr: 1.192e-02, eta: 10:34:21, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 0.3197, loss: 0.3197 2023-12-12 19:09:22,167 - pyskl - INFO - Epoch [78][400/1281] lr: 1.190e-02, eta: 10:33:43, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.3171, loss: 0.3171 2023-12-12 19:10:05,278 - pyskl - INFO - Epoch [78][500/1281] lr: 1.187e-02, eta: 10:33:04, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 0.3324, loss: 0.3324 2023-12-12 19:10:48,229 - pyskl - INFO - Epoch [78][600/1281] lr: 1.185e-02, eta: 10:32:25, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 0.2906, loss: 0.2906 2023-12-12 19:11:30,263 - pyskl - INFO - Epoch [78][700/1281] lr: 1.183e-02, eta: 10:31:45, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.3487, loss: 0.3487 2023-12-12 19:12:12,440 - pyskl - INFO - Epoch [78][800/1281] lr: 1.181e-02, eta: 10:31:06, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 0.3116, loss: 0.3116 2023-12-12 19:12:54,263 - pyskl - INFO - Epoch [78][900/1281] lr: 1.179e-02, eta: 10:30:26, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 0.3626, loss: 0.3626 2023-12-12 19:13:36,370 - pyskl - INFO - Epoch [78][1000/1281] lr: 1.177e-02, eta: 10:29:46, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 0.3817, loss: 0.3817 2023-12-12 19:14:18,608 - pyskl - INFO - Epoch [78][1100/1281] lr: 1.175e-02, eta: 10:29:07, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 0.3426, loss: 0.3426 2023-12-12 19:15:00,773 - pyskl - INFO - Epoch [78][1200/1281] lr: 1.173e-02, eta: 10:28:27, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 1.0000, loss_cls: 0.4161, loss: 0.4161 2023-12-12 19:15:36,382 - pyskl - INFO - Saving checkpoint at 78 epochs 2023-12-12 19:16:31,897 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 19:16:31,957 - pyskl - INFO - top1_acc 0.8994 top5_acc 0.9945 2023-12-12 19:16:31,957 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 19:16:31,965 - pyskl - INFO - mean_acc 0.8627 2023-12-12 19:16:31,967 - pyskl - INFO - Epoch(val) [78][533] top1_acc: 0.8994, top5_acc: 0.9945, mean_class_accuracy: 0.8627 2023-12-12 19:17:14,791 - pyskl - INFO - Epoch [79][100/1281] lr: 1.169e-02, eta: 10:26:44, time: 0.428, data_time: 0.195, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2824, loss: 0.2824 2023-12-12 19:17:56,075 - pyskl - INFO - Epoch [79][200/1281] lr: 1.167e-02, eta: 10:26:04, time: 0.413, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.3077, loss: 0.3077 2023-12-12 19:18:38,147 - pyskl - INFO - Epoch [79][300/1281] lr: 1.165e-02, eta: 10:25:24, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.2918, loss: 0.2918 2023-12-12 19:19:20,184 - pyskl - INFO - Epoch [79][400/1281] lr: 1.163e-02, eta: 10:24:45, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 0.3273, loss: 0.3273 2023-12-12 19:20:02,954 - pyskl - INFO - Epoch [79][500/1281] lr: 1.161e-02, eta: 10:24:06, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 0.3010, loss: 0.3010 2023-12-12 19:20:45,844 - pyskl - INFO - Epoch [79][600/1281] lr: 1.159e-02, eta: 10:23:27, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.3272, loss: 0.3272 2023-12-12 19:21:28,581 - pyskl - INFO - Epoch [79][700/1281] lr: 1.157e-02, eta: 10:22:48, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 0.3038, loss: 0.3038 2023-12-12 19:22:10,763 - pyskl - INFO - Epoch [79][800/1281] lr: 1.155e-02, eta: 10:22:08, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 0.3810, loss: 0.3810 2023-12-12 19:22:54,075 - pyskl - INFO - Epoch [79][900/1281] lr: 1.153e-02, eta: 10:21:29, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 1.0000, loss_cls: 0.3364, loss: 0.3364 2023-12-12 19:23:37,458 - pyskl - INFO - Epoch [79][1000/1281] lr: 1.151e-02, eta: 10:20:51, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.3620, loss: 0.3620 2023-12-12 19:24:19,758 - pyskl - INFO - Epoch [79][1100/1281] lr: 1.149e-02, eta: 10:20:11, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 0.3161, loss: 0.3161 2023-12-12 19:25:02,276 - pyskl - INFO - Epoch [79][1200/1281] lr: 1.147e-02, eta: 10:19:32, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 0.3963, loss: 0.3963 2023-12-12 19:25:37,219 - pyskl - INFO - Saving checkpoint at 79 epochs 2023-12-12 19:26:32,231 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 19:26:32,301 - pyskl - INFO - top1_acc 0.9032 top5_acc 0.9938 2023-12-12 19:26:32,301 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 19:26:32,311 - pyskl - INFO - mean_acc 0.8701 2023-12-12 19:26:32,315 - pyskl - INFO - Epoch(val) [79][533] top1_acc: 0.9032, top5_acc: 0.9938, mean_class_accuracy: 0.8701 2023-12-12 19:27:16,235 - pyskl - INFO - Epoch [80][100/1281] lr: 1.143e-02, eta: 10:17:51, time: 0.439, data_time: 0.207, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.3346, loss: 0.3346 2023-12-12 19:27:58,466 - pyskl - INFO - Epoch [80][200/1281] lr: 1.141e-02, eta: 10:17:12, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 0.2952, loss: 0.2952 2023-12-12 19:28:41,543 - pyskl - INFO - Epoch [80][300/1281] lr: 1.139e-02, eta: 10:16:33, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 0.3073, loss: 0.3073 2023-12-12 19:29:24,246 - pyskl - INFO - Epoch [80][400/1281] lr: 1.137e-02, eta: 10:15:54, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.3110, loss: 0.3110 2023-12-12 19:30:07,519 - pyskl - INFO - Epoch [80][500/1281] lr: 1.135e-02, eta: 10:15:15, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2816, loss: 0.2816 2023-12-12 19:30:50,907 - pyskl - INFO - Epoch [80][600/1281] lr: 1.133e-02, eta: 10:14:37, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.3404, loss: 0.3404 2023-12-12 19:31:34,166 - pyskl - INFO - Epoch [80][700/1281] lr: 1.131e-02, eta: 10:13:58, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.2946, loss: 0.2946 2023-12-12 19:32:17,227 - pyskl - INFO - Epoch [80][800/1281] lr: 1.129e-02, eta: 10:13:19, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.2786, loss: 0.2786 2023-12-12 19:33:00,778 - pyskl - INFO - Epoch [80][900/1281] lr: 1.127e-02, eta: 10:12:41, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 0.3428, loss: 0.3428 2023-12-12 19:33:44,015 - pyskl - INFO - Epoch [80][1000/1281] lr: 1.125e-02, eta: 10:12:02, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 0.3405, loss: 0.3405 2023-12-12 19:34:27,284 - pyskl - INFO - Epoch [80][1100/1281] lr: 1.123e-02, eta: 10:11:23, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.3031, loss: 0.3031 2023-12-12 19:35:10,419 - pyskl - INFO - Epoch [80][1200/1281] lr: 1.121e-02, eta: 10:10:45, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.3110, loss: 0.3110 2023-12-12 19:35:45,773 - pyskl - INFO - Saving checkpoint at 80 epochs 2023-12-12 19:36:40,500 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 19:36:40,563 - pyskl - INFO - top1_acc 0.9117 top5_acc 0.9927 2023-12-12 19:36:40,563 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 19:36:40,572 - pyskl - INFO - mean_acc 0.8808 2023-12-12 19:36:40,577 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_75.pth was removed 2023-12-12 19:36:40,761 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_80.pth. 2023-12-12 19:36:40,762 - pyskl - INFO - Best top1_acc is 0.9117 at 80 epoch. 2023-12-12 19:36:40,764 - pyskl - INFO - Epoch(val) [80][533] top1_acc: 0.9117, top5_acc: 0.9927, mean_class_accuracy: 0.8808 2023-12-12 19:37:24,178 - pyskl - INFO - Epoch [81][100/1281] lr: 1.117e-02, eta: 10:09:04, time: 0.434, data_time: 0.203, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2762, loss: 0.2762 2023-12-12 19:38:06,425 - pyskl - INFO - Epoch [81][200/1281] lr: 1.115e-02, eta: 10:08:25, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.3060, loss: 0.3060 2023-12-12 19:38:49,746 - pyskl - INFO - Epoch [81][300/1281] lr: 1.113e-02, eta: 10:07:46, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 0.3406, loss: 0.3406 2023-12-12 19:39:32,856 - pyskl - INFO - Epoch [81][400/1281] lr: 1.111e-02, eta: 10:07:07, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 0.3338, loss: 0.3338 2023-12-12 19:40:15,096 - pyskl - INFO - Epoch [81][500/1281] lr: 1.109e-02, eta: 10:06:28, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 0.3148, loss: 0.3148 2023-12-12 19:40:57,278 - pyskl - INFO - Epoch [81][600/1281] lr: 1.107e-02, eta: 10:05:48, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 0.3157, loss: 0.3157 2023-12-12 19:41:39,925 - pyskl - INFO - Epoch [81][700/1281] lr: 1.105e-02, eta: 10:05:09, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2928, loss: 0.2928 2023-12-12 19:42:22,135 - pyskl - INFO - Epoch [81][800/1281] lr: 1.103e-02, eta: 10:04:29, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 0.3087, loss: 0.3087 2023-12-12 19:43:04,115 - pyskl - INFO - Epoch [81][900/1281] lr: 1.101e-02, eta: 10:03:49, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 0.3590, loss: 0.3590 2023-12-12 19:43:46,060 - pyskl - INFO - Epoch [81][1000/1281] lr: 1.099e-02, eta: 10:03:09, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 0.3519, loss: 0.3519 2023-12-12 19:44:28,079 - pyskl - INFO - Epoch [81][1100/1281] lr: 1.097e-02, eta: 10:02:30, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2914, loss: 0.2914 2023-12-12 19:45:10,520 - pyskl - INFO - Epoch [81][1200/1281] lr: 1.095e-02, eta: 10:01:50, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.2584, loss: 0.2584 2023-12-12 19:45:45,484 - pyskl - INFO - Saving checkpoint at 81 epochs 2023-12-12 19:46:39,864 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 19:46:39,920 - pyskl - INFO - top1_acc 0.9109 top5_acc 0.9944 2023-12-12 19:46:39,920 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 19:46:39,928 - pyskl - INFO - mean_acc 0.8779 2023-12-12 19:46:39,931 - pyskl - INFO - Epoch(val) [81][533] top1_acc: 0.9109, top5_acc: 0.9944, mean_class_accuracy: 0.8779 2023-12-12 19:47:23,111 - pyskl - INFO - Epoch [82][100/1281] lr: 1.091e-02, eta: 10:00:10, time: 0.432, data_time: 0.189, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 0.3372, loss: 0.3372 2023-12-12 19:48:03,993 - pyskl - INFO - Epoch [82][200/1281] lr: 1.089e-02, eta: 9:59:30, time: 0.409, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.2950, loss: 0.2950 2023-12-12 19:48:46,196 - pyskl - INFO - Epoch [82][300/1281] lr: 1.087e-02, eta: 9:58:50, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.2543, loss: 0.2543 2023-12-12 19:49:28,395 - pyskl - INFO - Epoch [82][400/1281] lr: 1.085e-02, eta: 9:58:10, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 0.2808, loss: 0.2808 2023-12-12 19:50:10,610 - pyskl - INFO - Epoch [82][500/1281] lr: 1.083e-02, eta: 9:57:31, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.3120, loss: 0.3120 2023-12-12 19:50:52,619 - pyskl - INFO - Epoch [82][600/1281] lr: 1.081e-02, eta: 9:56:51, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2969, loss: 0.2969 2023-12-12 19:51:35,353 - pyskl - INFO - Epoch [82][700/1281] lr: 1.079e-02, eta: 9:56:12, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 0.3250, loss: 0.3250 2023-12-12 19:52:18,820 - pyskl - INFO - Epoch [82][800/1281] lr: 1.077e-02, eta: 9:55:33, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2788, loss: 0.2788 2023-12-12 19:53:02,263 - pyskl - INFO - Epoch [82][900/1281] lr: 1.075e-02, eta: 9:54:55, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 0.3285, loss: 0.3285 2023-12-12 19:53:45,138 - pyskl - INFO - Epoch [82][1000/1281] lr: 1.073e-02, eta: 9:54:16, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.3272, loss: 0.3272 2023-12-12 19:54:27,032 - pyskl - INFO - Epoch [82][1100/1281] lr: 1.071e-02, eta: 9:53:36, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 0.3048, loss: 0.3048 2023-12-12 19:55:08,966 - pyskl - INFO - Epoch [82][1200/1281] lr: 1.069e-02, eta: 9:52:56, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2613, loss: 0.2613 2023-12-12 19:55:44,571 - pyskl - INFO - Saving checkpoint at 82 epochs 2023-12-12 19:56:39,515 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 19:56:39,589 - pyskl - INFO - top1_acc 0.9051 top5_acc 0.9947 2023-12-12 19:56:39,590 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 19:56:39,601 - pyskl - INFO - mean_acc 0.8575 2023-12-12 19:56:39,605 - pyskl - INFO - Epoch(val) [82][533] top1_acc: 0.9051, top5_acc: 0.9947, mean_class_accuracy: 0.8575 2023-12-12 19:57:23,869 - pyskl - INFO - Epoch [83][100/1281] lr: 1.065e-02, eta: 9:51:17, time: 0.443, data_time: 0.201, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.2895, loss: 0.2895 2023-12-12 19:58:04,078 - pyskl - INFO - Epoch [83][200/1281] lr: 1.063e-02, eta: 9:50:36, time: 0.402, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 0.2998, loss: 0.2998 2023-12-12 19:58:47,094 - pyskl - INFO - Epoch [83][300/1281] lr: 1.061e-02, eta: 9:49:57, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 0.3111, loss: 0.3111 2023-12-12 19:59:30,301 - pyskl - INFO - Epoch [83][400/1281] lr: 1.059e-02, eta: 9:49:19, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 0.2840, loss: 0.2840 2023-12-12 20:00:12,817 - pyskl - INFO - Epoch [83][500/1281] lr: 1.057e-02, eta: 9:48:39, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 0.2759, loss: 0.2759 2023-12-12 20:00:55,753 - pyskl - INFO - Epoch [83][600/1281] lr: 1.055e-02, eta: 9:48:00, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 0.3056, loss: 0.3056 2023-12-12 20:01:38,066 - pyskl - INFO - Epoch [83][700/1281] lr: 1.053e-02, eta: 9:47:21, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 0.3123, loss: 0.3123 2023-12-12 20:02:20,028 - pyskl - INFO - Epoch [83][800/1281] lr: 1.051e-02, eta: 9:46:41, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 0.3395, loss: 0.3395 2023-12-12 20:03:02,172 - pyskl - INFO - Epoch [83][900/1281] lr: 1.049e-02, eta: 9:46:01, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 0.3268, loss: 0.3268 2023-12-12 20:03:44,245 - pyskl - INFO - Epoch [83][1000/1281] lr: 1.047e-02, eta: 9:45:21, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 0.3450, loss: 0.3450 2023-12-12 20:04:26,362 - pyskl - INFO - Epoch [83][1100/1281] lr: 1.045e-02, eta: 9:44:42, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 0.2932, loss: 0.2932 2023-12-12 20:05:08,491 - pyskl - INFO - Epoch [83][1200/1281] lr: 1.043e-02, eta: 9:44:02, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 0.3538, loss: 0.3538 2023-12-12 20:05:43,073 - pyskl - INFO - Saving checkpoint at 83 epochs 2023-12-12 20:06:35,961 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 20:06:36,023 - pyskl - INFO - top1_acc 0.9068 top5_acc 0.9927 2023-12-12 20:06:36,023 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 20:06:36,031 - pyskl - INFO - mean_acc 0.8720 2023-12-12 20:06:36,038 - pyskl - INFO - Epoch(val) [83][533] top1_acc: 0.9068, top5_acc: 0.9927, mean_class_accuracy: 0.8720 2023-12-12 20:07:24,189 - pyskl - INFO - Epoch [84][100/1281] lr: 1.040e-02, eta: 9:42:27, time: 0.481, data_time: 0.212, memory: 4120, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 0.2811, loss: 0.2811 2023-12-12 20:08:01,060 - pyskl - INFO - Epoch [84][200/1281] lr: 1.038e-02, eta: 9:41:44, time: 0.369, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 0.3057, loss: 0.3057 2023-12-12 20:08:43,813 - pyskl - INFO - Epoch [84][300/1281] lr: 1.036e-02, eta: 9:41:04, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.2399, loss: 0.2399 2023-12-12 20:09:25,907 - pyskl - INFO - Epoch [84][400/1281] lr: 1.034e-02, eta: 9:40:25, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.2538, loss: 0.2538 2023-12-12 20:10:08,685 - pyskl - INFO - Epoch [84][500/1281] lr: 1.031e-02, eta: 9:39:46, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.2618, loss: 0.2618 2023-12-12 20:10:52,137 - pyskl - INFO - Epoch [84][600/1281] lr: 1.029e-02, eta: 9:39:07, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 0.3084, loss: 0.3084 2023-12-12 20:11:35,439 - pyskl - INFO - Epoch [84][700/1281] lr: 1.027e-02, eta: 9:38:28, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.3312, loss: 0.3312 2023-12-12 20:12:18,698 - pyskl - INFO - Epoch [84][800/1281] lr: 1.025e-02, eta: 9:37:49, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.3056, loss: 0.3056 2023-12-12 20:13:00,946 - pyskl - INFO - Epoch [84][900/1281] lr: 1.023e-02, eta: 9:37:10, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.2712, loss: 0.2712 2023-12-12 20:13:44,137 - pyskl - INFO - Epoch [84][1000/1281] lr: 1.021e-02, eta: 9:36:31, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2753, loss: 0.2753 2023-12-12 20:14:27,557 - pyskl - INFO - Epoch [84][1100/1281] lr: 1.019e-02, eta: 9:35:52, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 0.3307, loss: 0.3307 2023-12-12 20:15:10,838 - pyskl - INFO - Epoch [84][1200/1281] lr: 1.017e-02, eta: 9:35:13, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 0.3027, loss: 0.3027 2023-12-12 20:15:46,860 - pyskl - INFO - Saving checkpoint at 84 epochs 2023-12-12 20:16:41,637 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 20:16:41,703 - pyskl - INFO - top1_acc 0.9049 top5_acc 0.9948 2023-12-12 20:16:41,703 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 20:16:41,718 - pyskl - INFO - mean_acc 0.8807 2023-12-12 20:16:41,724 - pyskl - INFO - Epoch(val) [84][533] top1_acc: 0.9049, top5_acc: 0.9948, mean_class_accuracy: 0.8807 2023-12-12 20:17:30,032 - pyskl - INFO - Epoch [85][100/1281] lr: 1.014e-02, eta: 9:33:40, time: 0.483, data_time: 0.189, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2840, loss: 0.2840 2023-12-12 20:18:05,756 - pyskl - INFO - Epoch [85][200/1281] lr: 1.012e-02, eta: 9:32:55, time: 0.357, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 0.2612, loss: 0.2612 2023-12-12 20:18:48,343 - pyskl - INFO - Epoch [85][300/1281] lr: 1.010e-02, eta: 9:32:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2815, loss: 0.2815 2023-12-12 20:19:31,542 - pyskl - INFO - Epoch [85][400/1281] lr: 1.008e-02, eta: 9:31:37, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.2668, loss: 0.2668 2023-12-12 20:20:14,684 - pyskl - INFO - Epoch [85][500/1281] lr: 1.006e-02, eta: 9:30:58, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.2417, loss: 0.2417 2023-12-12 20:20:57,767 - pyskl - INFO - Epoch [85][600/1281] lr: 1.004e-02, eta: 9:30:19, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.2730, loss: 0.2730 2023-12-12 20:21:40,947 - pyskl - INFO - Epoch [85][700/1281] lr: 1.002e-02, eta: 9:29:40, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.3177, loss: 0.3177 2023-12-12 20:22:24,154 - pyskl - INFO - Epoch [85][800/1281] lr: 9.998e-03, eta: 9:29:01, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.2645, loss: 0.2645 2023-12-12 20:23:07,616 - pyskl - INFO - Epoch [85][900/1281] lr: 9.978e-03, eta: 9:28:22, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.2844, loss: 0.2844 2023-12-12 20:23:51,128 - pyskl - INFO - Epoch [85][1000/1281] lr: 9.958e-03, eta: 9:27:44, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.2901, loss: 0.2901 2023-12-12 20:24:34,394 - pyskl - INFO - Epoch [85][1100/1281] lr: 9.937e-03, eta: 9:27:05, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 0.3207, loss: 0.3207 2023-12-12 20:25:17,410 - pyskl - INFO - Epoch [85][1200/1281] lr: 9.917e-03, eta: 9:26:26, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 0.2797, loss: 0.2797 2023-12-12 20:25:53,074 - pyskl - INFO - Saving checkpoint at 85 epochs 2023-12-12 20:26:49,128 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 20:26:49,184 - pyskl - INFO - top1_acc 0.9036 top5_acc 0.9955 2023-12-12 20:26:49,185 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 20:26:49,193 - pyskl - INFO - mean_acc 0.8634 2023-12-12 20:26:49,197 - pyskl - INFO - Epoch(val) [85][533] top1_acc: 0.9036, top5_acc: 0.9955, mean_class_accuracy: 0.8634 2023-12-12 20:27:37,636 - pyskl - INFO - Epoch [86][100/1281] lr: 9.881e-03, eta: 9:24:53, time: 0.484, data_time: 0.199, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.2868, loss: 0.2868 2023-12-12 20:28:15,104 - pyskl - INFO - Epoch [86][200/1281] lr: 9.861e-03, eta: 9:24:09, time: 0.375, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.2175, loss: 0.2175 2023-12-12 20:28:58,185 - pyskl - INFO - Epoch [86][300/1281] lr: 9.841e-03, eta: 9:23:30, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.2080, loss: 0.2080 2023-12-12 20:29:41,527 - pyskl - INFO - Epoch [86][400/1281] lr: 9.821e-03, eta: 9:22:52, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2558, loss: 0.2558 2023-12-12 20:30:24,611 - pyskl - INFO - Epoch [86][500/1281] lr: 9.801e-03, eta: 9:22:13, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.2579, loss: 0.2579 2023-12-12 20:31:07,943 - pyskl - INFO - Epoch [86][600/1281] lr: 9.781e-03, eta: 9:21:34, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 0.2493, loss: 0.2493 2023-12-12 20:31:51,231 - pyskl - INFO - Epoch [86][700/1281] lr: 9.762e-03, eta: 9:20:55, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 0.2881, loss: 0.2881 2023-12-12 20:32:34,352 - pyskl - INFO - Epoch [86][800/1281] lr: 9.742e-03, eta: 9:20:16, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2987, loss: 0.2987 2023-12-12 20:33:17,603 - pyskl - INFO - Epoch [86][900/1281] lr: 9.722e-03, eta: 9:19:37, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 0.2774, loss: 0.2774 2023-12-12 20:34:01,074 - pyskl - INFO - Epoch [86][1000/1281] lr: 9.702e-03, eta: 9:18:58, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.2547, loss: 0.2547 2023-12-12 20:34:44,457 - pyskl - INFO - Epoch [86][1100/1281] lr: 9.682e-03, eta: 9:18:19, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9994, loss_cls: 0.3185, loss: 0.3185 2023-12-12 20:35:26,901 - pyskl - INFO - Epoch [86][1200/1281] lr: 9.662e-03, eta: 9:17:40, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2800, loss: 0.2800 2023-12-12 20:36:01,958 - pyskl - INFO - Saving checkpoint at 86 epochs 2023-12-12 20:36:56,888 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 20:36:56,945 - pyskl - INFO - top1_acc 0.8999 top5_acc 0.9941 2023-12-12 20:36:56,945 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 20:36:56,953 - pyskl - INFO - mean_acc 0.8802 2023-12-12 20:36:56,956 - pyskl - INFO - Epoch(val) [86][533] top1_acc: 0.8999, top5_acc: 0.9941, mean_class_accuracy: 0.8802 2023-12-12 20:37:46,065 - pyskl - INFO - Epoch [87][100/1281] lr: 9.626e-03, eta: 9:16:08, time: 0.491, data_time: 0.204, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 0.3257, loss: 0.3257 2023-12-12 20:38:23,351 - pyskl - INFO - Epoch [87][200/1281] lr: 9.606e-03, eta: 9:15:24, time: 0.373, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.2816, loss: 0.2816 2023-12-12 20:39:05,337 - pyskl - INFO - Epoch [87][300/1281] lr: 9.586e-03, eta: 9:14:45, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.2672, loss: 0.2672 2023-12-12 20:39:47,445 - pyskl - INFO - Epoch [87][400/1281] lr: 9.566e-03, eta: 9:14:05, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.2661, loss: 0.2661 2023-12-12 20:40:29,421 - pyskl - INFO - Epoch [87][500/1281] lr: 9.546e-03, eta: 9:13:25, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.2571, loss: 0.2571 2023-12-12 20:41:11,381 - pyskl - INFO - Epoch [87][600/1281] lr: 9.527e-03, eta: 9:12:45, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.2721, loss: 0.2721 2023-12-12 20:41:53,521 - pyskl - INFO - Epoch [87][700/1281] lr: 9.507e-03, eta: 9:12:05, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9994, loss_cls: 0.3392, loss: 0.3392 2023-12-12 20:42:35,659 - pyskl - INFO - Epoch [87][800/1281] lr: 9.487e-03, eta: 9:11:26, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 0.2745, loss: 0.2745 2023-12-12 20:43:17,723 - pyskl - INFO - Epoch [87][900/1281] lr: 9.467e-03, eta: 9:10:46, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2729, loss: 0.2729 2023-12-12 20:43:59,669 - pyskl - INFO - Epoch [87][1000/1281] lr: 9.447e-03, eta: 9:10:06, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 0.3264, loss: 0.3264 2023-12-12 20:44:41,639 - pyskl - INFO - Epoch [87][1100/1281] lr: 9.427e-03, eta: 9:09:26, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.2723, loss: 0.2723 2023-12-12 20:45:24,839 - pyskl - INFO - Epoch [87][1200/1281] lr: 9.408e-03, eta: 9:08:47, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.2586, loss: 0.2586 2023-12-12 20:46:00,746 - pyskl - INFO - Saving checkpoint at 87 epochs 2023-12-12 20:46:55,981 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 20:46:56,068 - pyskl - INFO - top1_acc 0.9150 top5_acc 0.9960 2023-12-12 20:46:56,068 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 20:46:56,078 - pyskl - INFO - mean_acc 0.8902 2023-12-12 20:46:56,083 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_80.pth was removed 2023-12-12 20:46:56,312 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. 2023-12-12 20:46:56,312 - pyskl - INFO - Best top1_acc is 0.9150 at 87 epoch. 2023-12-12 20:46:56,317 - pyskl - INFO - Epoch(val) [87][533] top1_acc: 0.9150, top5_acc: 0.9960, mean_class_accuracy: 0.8902 2023-12-12 20:47:44,467 - pyskl - INFO - Epoch [88][100/1281] lr: 9.372e-03, eta: 9:07:15, time: 0.481, data_time: 0.190, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.2245, loss: 0.2245 2023-12-12 20:48:21,292 - pyskl - INFO - Epoch [88][200/1281] lr: 9.352e-03, eta: 9:06:31, time: 0.368, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 0.2744, loss: 0.2744 2023-12-12 20:49:03,398 - pyskl - INFO - Epoch [88][300/1281] lr: 9.332e-03, eta: 9:05:51, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.2541, loss: 0.2541 2023-12-12 20:49:45,514 - pyskl - INFO - Epoch [88][400/1281] lr: 9.312e-03, eta: 9:05:12, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.2383, loss: 0.2383 2023-12-12 20:50:27,760 - pyskl - INFO - Epoch [88][500/1281] lr: 9.293e-03, eta: 9:04:32, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.2442, loss: 0.2442 2023-12-12 20:51:10,870 - pyskl - INFO - Epoch [88][600/1281] lr: 9.273e-03, eta: 9:03:53, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2656, loss: 0.2656 2023-12-12 20:51:54,177 - pyskl - INFO - Epoch [88][700/1281] lr: 9.253e-03, eta: 9:03:14, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 0.2983, loss: 0.2983 2023-12-12 20:52:37,580 - pyskl - INFO - Epoch [88][800/1281] lr: 9.233e-03, eta: 9:02:35, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2899, loss: 0.2899 2023-12-12 20:53:20,798 - pyskl - INFO - Epoch [88][900/1281] lr: 9.214e-03, eta: 9:01:56, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.2913, loss: 0.2913 2023-12-12 20:54:04,164 - pyskl - INFO - Epoch [88][1000/1281] lr: 9.194e-03, eta: 9:01:17, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2830, loss: 0.2830 2023-12-12 20:54:46,148 - pyskl - INFO - Epoch [88][1100/1281] lr: 9.174e-03, eta: 9:00:38, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 0.3146, loss: 0.3146 2023-12-12 20:55:29,246 - pyskl - INFO - Epoch [88][1200/1281] lr: 9.155e-03, eta: 8:59:58, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.3108, loss: 0.3108 2023-12-12 20:56:04,797 - pyskl - INFO - Saving checkpoint at 88 epochs 2023-12-12 20:57:00,020 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 20:57:00,079 - pyskl - INFO - top1_acc 0.9082 top5_acc 0.9927 2023-12-12 20:57:00,079 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 20:57:00,093 - pyskl - INFO - mean_acc 0.8842 2023-12-12 20:57:00,097 - pyskl - INFO - Epoch(val) [88][533] top1_acc: 0.9082, top5_acc: 0.9927, mean_class_accuracy: 0.8842 2023-12-12 20:57:49,256 - pyskl - INFO - Epoch [89][100/1281] lr: 9.119e-03, eta: 8:58:27, time: 0.492, data_time: 0.203, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.2610, loss: 0.2610 2023-12-12 20:58:25,039 - pyskl - INFO - Epoch [89][200/1281] lr: 9.099e-03, eta: 8:57:43, time: 0.358, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.2320, loss: 0.2320 2023-12-12 20:59:06,957 - pyskl - INFO - Epoch [89][300/1281] lr: 9.080e-03, eta: 8:57:03, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 0.2806, loss: 0.2806 2023-12-12 20:59:49,384 - pyskl - INFO - Epoch [89][400/1281] lr: 9.060e-03, eta: 8:56:24, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.2991, loss: 0.2991 2023-12-12 21:00:31,429 - pyskl - INFO - Epoch [89][500/1281] lr: 9.040e-03, eta: 8:55:44, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.2626, loss: 0.2626 2023-12-12 21:01:13,612 - pyskl - INFO - Epoch [89][600/1281] lr: 9.021e-03, eta: 8:55:04, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.2399, loss: 0.2399 2023-12-12 21:01:55,628 - pyskl - INFO - Epoch [89][700/1281] lr: 9.001e-03, eta: 8:54:24, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.2898, loss: 0.2898 2023-12-12 21:02:37,548 - pyskl - INFO - Epoch [89][800/1281] lr: 8.982e-03, eta: 8:53:44, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 1.0000, loss_cls: 0.2906, loss: 0.2906 2023-12-12 21:03:19,584 - pyskl - INFO - Epoch [89][900/1281] lr: 8.962e-03, eta: 8:53:05, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2736, loss: 0.2736 2023-12-12 21:04:02,061 - pyskl - INFO - Epoch [89][1000/1281] lr: 8.942e-03, eta: 8:52:25, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.2440, loss: 0.2440 2023-12-12 21:04:44,244 - pyskl - INFO - Epoch [89][1100/1281] lr: 8.923e-03, eta: 8:51:45, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 0.2629, loss: 0.2629 2023-12-12 21:05:26,452 - pyskl - INFO - Epoch [89][1200/1281] lr: 8.903e-03, eta: 8:51:06, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.3140, loss: 0.3140 2023-12-12 21:06:01,222 - pyskl - INFO - Saving checkpoint at 89 epochs 2023-12-12 21:06:57,170 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 21:06:57,229 - pyskl - INFO - top1_acc 0.9120 top5_acc 0.9944 2023-12-12 21:06:57,230 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 21:06:57,237 - pyskl - INFO - mean_acc 0.8864 2023-12-12 21:06:57,239 - pyskl - INFO - Epoch(val) [89][533] top1_acc: 0.9120, top5_acc: 0.9944, mean_class_accuracy: 0.8864 2023-12-12 21:07:46,423 - pyskl - INFO - Epoch [90][100/1281] lr: 8.868e-03, eta: 8:49:35, time: 0.492, data_time: 0.196, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1765, loss: 0.1765 2023-12-12 21:08:20,946 - pyskl - INFO - Epoch [90][200/1281] lr: 8.848e-03, eta: 8:48:50, time: 0.345, data_time: 0.001, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.2208, loss: 0.2208 2023-12-12 21:09:03,072 - pyskl - INFO - Epoch [90][300/1281] lr: 8.829e-03, eta: 8:48:10, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.2052, loss: 0.2052 2023-12-12 21:09:45,013 - pyskl - INFO - Epoch [90][400/1281] lr: 8.809e-03, eta: 8:47:31, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1993, loss: 0.1993 2023-12-12 21:10:27,022 - pyskl - INFO - Epoch [90][500/1281] lr: 8.790e-03, eta: 8:46:51, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.2345, loss: 0.2345 2023-12-12 21:11:09,335 - pyskl - INFO - Epoch [90][600/1281] lr: 8.770e-03, eta: 8:46:11, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.2853, loss: 0.2853 2023-12-12 21:11:52,707 - pyskl - INFO - Epoch [90][700/1281] lr: 8.751e-03, eta: 8:45:32, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.2386, loss: 0.2386 2023-12-12 21:12:35,425 - pyskl - INFO - Epoch [90][800/1281] lr: 8.731e-03, eta: 8:44:53, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 0.3069, loss: 0.3069 2023-12-12 21:13:17,566 - pyskl - INFO - Epoch [90][900/1281] lr: 8.712e-03, eta: 8:44:13, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.2577, loss: 0.2577 2023-12-12 21:13:59,651 - pyskl - INFO - Epoch [90][1000/1281] lr: 8.692e-03, eta: 8:43:33, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.2459, loss: 0.2459 2023-12-12 21:14:41,526 - pyskl - INFO - Epoch [90][1100/1281] lr: 8.673e-03, eta: 8:42:53, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 0.2739, loss: 0.2739 2023-12-12 21:15:24,115 - pyskl - INFO - Epoch [90][1200/1281] lr: 8.653e-03, eta: 8:42:14, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.2309, loss: 0.2309 2023-12-12 21:15:59,552 - pyskl - INFO - Saving checkpoint at 90 epochs 2023-12-12 21:16:57,070 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 21:16:57,126 - pyskl - INFO - top1_acc 0.8948 top5_acc 0.9921 2023-12-12 21:16:57,126 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 21:16:57,136 - pyskl - INFO - mean_acc 0.8488 2023-12-12 21:16:57,139 - pyskl - INFO - Epoch(val) [90][533] top1_acc: 0.8948, top5_acc: 0.9921, mean_class_accuracy: 0.8488 2023-12-12 21:17:48,532 - pyskl - INFO - Epoch [91][100/1281] lr: 8.618e-03, eta: 8:40:45, time: 0.514, data_time: 0.200, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.2756, loss: 0.2756 2023-12-12 21:18:22,547 - pyskl - INFO - Epoch [91][200/1281] lr: 8.599e-03, eta: 8:40:00, time: 0.340, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.2827, loss: 0.2827 2023-12-12 21:19:05,532 - pyskl - INFO - Epoch [91][300/1281] lr: 8.579e-03, eta: 8:39:21, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.2715, loss: 0.2715 2023-12-12 21:19:48,892 - pyskl - INFO - Epoch [91][400/1281] lr: 8.560e-03, eta: 8:38:42, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 0.2384, loss: 0.2384 2023-12-12 21:20:31,139 - pyskl - INFO - Epoch [91][500/1281] lr: 8.540e-03, eta: 8:38:02, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 0.2542, loss: 0.2542 2023-12-12 21:21:13,446 - pyskl - INFO - Epoch [91][600/1281] lr: 8.521e-03, eta: 8:37:23, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.2346, loss: 0.2346 2023-12-12 21:21:55,249 - pyskl - INFO - Epoch [91][700/1281] lr: 8.502e-03, eta: 8:36:43, time: 0.418, data_time: 0.001, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.2114, loss: 0.2114 2023-12-12 21:22:37,263 - pyskl - INFO - Epoch [91][800/1281] lr: 8.482e-03, eta: 8:36:03, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.2428, loss: 0.2428 2023-12-12 21:23:20,104 - pyskl - INFO - Epoch [91][900/1281] lr: 8.463e-03, eta: 8:35:23, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2929, loss: 0.2929 2023-12-12 21:24:02,217 - pyskl - INFO - Epoch [91][1000/1281] lr: 8.444e-03, eta: 8:34:44, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2728, loss: 0.2728 2023-12-12 21:24:45,369 - pyskl - INFO - Epoch [91][1100/1281] lr: 8.424e-03, eta: 8:34:04, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2901, loss: 0.2901 2023-12-12 21:25:28,299 - pyskl - INFO - Epoch [91][1200/1281] lr: 8.405e-03, eta: 8:33:25, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 1.0000, loss_cls: 0.3062, loss: 0.3062 2023-12-12 21:26:03,033 - pyskl - INFO - Saving checkpoint at 91 epochs 2023-12-12 21:27:02,025 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 21:27:02,086 - pyskl - INFO - top1_acc 0.9034 top5_acc 0.9951 2023-12-12 21:27:02,086 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 21:27:02,095 - pyskl - INFO - mean_acc 0.8684 2023-12-12 21:27:02,098 - pyskl - INFO - Epoch(val) [91][533] top1_acc: 0.9034, top5_acc: 0.9951, mean_class_accuracy: 0.8684 2023-12-12 21:27:54,098 - pyskl - INFO - Epoch [92][100/1281] lr: 8.370e-03, eta: 8:31:57, time: 0.520, data_time: 0.201, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.2203, loss: 0.2203 2023-12-12 21:28:27,940 - pyskl - INFO - Epoch [92][200/1281] lr: 8.351e-03, eta: 8:31:12, time: 0.338, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.2080, loss: 0.2080 2023-12-12 21:29:10,015 - pyskl - INFO - Epoch [92][300/1281] lr: 8.332e-03, eta: 8:30:33, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1900, loss: 0.1900 2023-12-12 21:29:52,007 - pyskl - INFO - Epoch [92][400/1281] lr: 8.312e-03, eta: 8:29:53, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 0.2319, loss: 0.2319 2023-12-12 21:30:34,130 - pyskl - INFO - Epoch [92][500/1281] lr: 8.293e-03, eta: 8:29:13, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.2061, loss: 0.2061 2023-12-12 21:31:16,259 - pyskl - INFO - Epoch [92][600/1281] lr: 8.274e-03, eta: 8:28:33, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 0.2421, loss: 0.2421 2023-12-12 21:31:58,459 - pyskl - INFO - Epoch [92][700/1281] lr: 8.255e-03, eta: 8:27:53, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.2291, loss: 0.2291 2023-12-12 21:32:40,582 - pyskl - INFO - Epoch [92][800/1281] lr: 8.235e-03, eta: 8:27:14, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1978, loss: 0.1978 2023-12-12 21:33:23,412 - pyskl - INFO - Epoch [92][900/1281] lr: 8.216e-03, eta: 8:26:34, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.2441, loss: 0.2441 2023-12-12 21:34:06,139 - pyskl - INFO - Epoch [92][1000/1281] lr: 8.197e-03, eta: 8:25:55, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.2488, loss: 0.2488 2023-12-12 21:34:48,359 - pyskl - INFO - Epoch [92][1100/1281] lr: 8.178e-03, eta: 8:25:15, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.2392, loss: 0.2392 2023-12-12 21:35:31,156 - pyskl - INFO - Epoch [92][1200/1281] lr: 8.159e-03, eta: 8:24:36, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.2363, loss: 0.2363 2023-12-12 21:36:07,116 - pyskl - INFO - Saving checkpoint at 92 epochs 2023-12-12 21:37:05,943 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 21:37:06,025 - pyskl - INFO - top1_acc 0.9109 top5_acc 0.9961 2023-12-12 21:37:06,025 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 21:37:06,036 - pyskl - INFO - mean_acc 0.8789 2023-12-12 21:37:06,040 - pyskl - INFO - Epoch(val) [92][533] top1_acc: 0.9109, top5_acc: 0.9961, mean_class_accuracy: 0.8789 2023-12-12 21:37:57,751 - pyskl - INFO - Epoch [93][100/1281] lr: 8.124e-03, eta: 8:23:08, time: 0.517, data_time: 0.191, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.2063, loss: 0.2063 2023-12-12 21:38:30,375 - pyskl - INFO - Epoch [93][200/1281] lr: 8.105e-03, eta: 8:22:22, time: 0.326, data_time: 0.001, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1736, loss: 0.1736 2023-12-12 21:39:12,468 - pyskl - INFO - Epoch [93][300/1281] lr: 8.086e-03, eta: 8:21:43, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.2230, loss: 0.2230 2023-12-12 21:39:54,436 - pyskl - INFO - Epoch [93][400/1281] lr: 8.067e-03, eta: 8:21:03, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.2487, loss: 0.2487 2023-12-12 21:40:36,665 - pyskl - INFO - Epoch [93][500/1281] lr: 8.047e-03, eta: 8:20:23, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.2395, loss: 0.2395 2023-12-12 21:41:19,872 - pyskl - INFO - Epoch [93][600/1281] lr: 8.028e-03, eta: 8:19:44, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.2020, loss: 0.2020 2023-12-12 21:42:03,106 - pyskl - INFO - Epoch [93][700/1281] lr: 8.009e-03, eta: 8:19:05, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1912, loss: 0.1912 2023-12-12 21:42:45,943 - pyskl - INFO - Epoch [93][800/1281] lr: 7.990e-03, eta: 8:18:26, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.2632, loss: 0.2632 2023-12-12 21:43:28,124 - pyskl - INFO - Epoch [93][900/1281] lr: 7.971e-03, eta: 8:17:46, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.2393, loss: 0.2393 2023-12-12 21:44:11,153 - pyskl - INFO - Epoch [93][1000/1281] lr: 7.952e-03, eta: 8:17:06, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.2074, loss: 0.2074 2023-12-12 21:44:54,205 - pyskl - INFO - Epoch [93][1100/1281] lr: 7.933e-03, eta: 8:16:27, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.2170, loss: 0.2170 2023-12-12 21:45:37,514 - pyskl - INFO - Epoch [93][1200/1281] lr: 7.914e-03, eta: 8:15:48, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.2072, loss: 0.2072 2023-12-12 21:46:13,513 - pyskl - INFO - Saving checkpoint at 93 epochs 2023-12-12 21:47:13,551 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 21:47:13,710 - pyskl - INFO - top1_acc 0.9153 top5_acc 0.9947 2023-12-12 21:47:13,711 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 21:47:13,720 - pyskl - INFO - mean_acc 0.8795 2023-12-12 21:47:13,726 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_87.pth was removed 2023-12-12 21:47:13,941 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. 2023-12-12 21:47:13,942 - pyskl - INFO - Best top1_acc is 0.9153 at 93 epoch. 2023-12-12 21:47:13,945 - pyskl - INFO - Epoch(val) [93][533] top1_acc: 0.9153, top5_acc: 0.9947, mean_class_accuracy: 0.8795 2023-12-12 21:48:06,193 - pyskl - INFO - Epoch [94][100/1281] lr: 7.880e-03, eta: 8:14:21, time: 0.522, data_time: 0.205, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.2263, loss: 0.2263 2023-12-12 21:48:39,261 - pyskl - INFO - Epoch [94][200/1281] lr: 7.861e-03, eta: 8:13:36, time: 0.331, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1581, loss: 0.1581 2023-12-12 21:49:21,687 - pyskl - INFO - Epoch [94][300/1281] lr: 7.842e-03, eta: 8:12:56, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1663, loss: 0.1663 2023-12-12 21:50:04,969 - pyskl - INFO - Epoch [94][400/1281] lr: 7.823e-03, eta: 8:12:17, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.2292, loss: 0.2292 2023-12-12 21:50:48,351 - pyskl - INFO - Epoch [94][500/1281] lr: 7.804e-03, eta: 8:11:38, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.2271, loss: 0.2271 2023-12-12 21:51:31,533 - pyskl - INFO - Epoch [94][600/1281] lr: 7.785e-03, eta: 8:10:59, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1958, loss: 0.1958 2023-12-12 21:52:14,520 - pyskl - INFO - Epoch [94][700/1281] lr: 7.766e-03, eta: 8:10:20, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.2161, loss: 0.2161 2023-12-12 21:52:57,408 - pyskl - INFO - Epoch [94][800/1281] lr: 7.747e-03, eta: 8:09:41, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1950, loss: 0.1950 2023-12-12 21:53:39,535 - pyskl - INFO - Epoch [94][900/1281] lr: 7.728e-03, eta: 8:09:01, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.2381, loss: 0.2381 2023-12-12 21:54:21,623 - pyskl - INFO - Epoch [94][1000/1281] lr: 7.709e-03, eta: 8:08:21, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 0.2498, loss: 0.2498 2023-12-12 21:55:03,733 - pyskl - INFO - Epoch [94][1100/1281] lr: 7.690e-03, eta: 8:07:41, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.2561, loss: 0.2561 2023-12-12 21:55:45,652 - pyskl - INFO - Epoch [94][1200/1281] lr: 7.672e-03, eta: 8:07:01, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.2297, loss: 0.2297 2023-12-12 21:56:20,897 - pyskl - INFO - Saving checkpoint at 94 epochs 2023-12-12 21:57:19,156 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 21:57:19,219 - pyskl - INFO - top1_acc 0.9162 top5_acc 0.9954 2023-12-12 21:57:19,219 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 21:57:19,230 - pyskl - INFO - mean_acc 0.8894 2023-12-12 21:57:19,237 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_93.pth was removed 2023-12-12 21:57:19,482 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. 2023-12-12 21:57:19,482 - pyskl - INFO - Best top1_acc is 0.9162 at 94 epoch. 2023-12-12 21:57:19,486 - pyskl - INFO - Epoch(val) [94][533] top1_acc: 0.9162, top5_acc: 0.9954, mean_class_accuracy: 0.8894 2023-12-12 21:58:11,426 - pyskl - INFO - Epoch [95][100/1281] lr: 7.637e-03, eta: 8:05:35, time: 0.519, data_time: 0.200, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1776, loss: 0.1776 2023-12-12 21:58:44,557 - pyskl - INFO - Epoch [95][200/1281] lr: 7.619e-03, eta: 8:04:49, time: 0.331, data_time: 0.001, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.2047, loss: 0.2047 2023-12-12 21:59:26,553 - pyskl - INFO - Epoch [95][300/1281] lr: 7.600e-03, eta: 8:04:09, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.2089, loss: 0.2089 2023-12-12 22:00:08,760 - pyskl - INFO - Epoch [95][400/1281] lr: 7.581e-03, eta: 8:03:30, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1887, loss: 0.1887 2023-12-12 22:00:50,954 - pyskl - INFO - Epoch [95][500/1281] lr: 7.562e-03, eta: 8:02:50, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.2386, loss: 0.2386 2023-12-12 22:01:33,613 - pyskl - INFO - Epoch [95][600/1281] lr: 7.543e-03, eta: 8:02:10, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.2453, loss: 0.2453 2023-12-12 22:02:16,035 - pyskl - INFO - Epoch [95][700/1281] lr: 7.525e-03, eta: 8:01:31, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.2084, loss: 0.2084 2023-12-12 22:02:58,017 - pyskl - INFO - Epoch [95][800/1281] lr: 7.506e-03, eta: 8:00:51, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.2085, loss: 0.2085 2023-12-12 22:03:40,133 - pyskl - INFO - Epoch [95][900/1281] lr: 7.487e-03, eta: 8:00:11, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.2062, loss: 0.2062 2023-12-12 22:04:22,408 - pyskl - INFO - Epoch [95][1000/1281] lr: 7.468e-03, eta: 7:59:31, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.2498, loss: 0.2498 2023-12-12 22:05:04,568 - pyskl - INFO - Epoch [95][1100/1281] lr: 7.450e-03, eta: 7:58:52, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.2386, loss: 0.2386 2023-12-12 22:05:47,568 - pyskl - INFO - Epoch [95][1200/1281] lr: 7.431e-03, eta: 7:58:12, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.2073, loss: 0.2073 2023-12-12 22:06:22,296 - pyskl - INFO - Saving checkpoint at 95 epochs 2023-12-12 22:07:20,840 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 22:07:20,897 - pyskl - INFO - top1_acc 0.9242 top5_acc 0.9948 2023-12-12 22:07:20,897 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 22:07:20,906 - pyskl - INFO - mean_acc 0.8938 2023-12-12 22:07:20,912 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_94.pth was removed 2023-12-12 22:07:21,182 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_95.pth. 2023-12-12 22:07:21,182 - pyskl - INFO - Best top1_acc is 0.9242 at 95 epoch. 2023-12-12 22:07:21,187 - pyskl - INFO - Epoch(val) [95][533] top1_acc: 0.9242, top5_acc: 0.9948, mean_class_accuracy: 0.8938 2023-12-12 22:08:13,883 - pyskl - INFO - Epoch [96][100/1281] lr: 7.397e-03, eta: 7:56:46, time: 0.527, data_time: 0.203, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1953, loss: 0.1953 2023-12-12 22:08:47,334 - pyskl - INFO - Epoch [96][200/1281] lr: 7.379e-03, eta: 7:56:02, time: 0.334, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.2578, loss: 0.2578 2023-12-12 22:09:29,422 - pyskl - INFO - Epoch [96][300/1281] lr: 7.360e-03, eta: 7:55:22, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.2003, loss: 0.2003 2023-12-12 22:10:11,492 - pyskl - INFO - Epoch [96][400/1281] lr: 7.341e-03, eta: 7:54:42, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.2384, loss: 0.2384 2023-12-12 22:10:53,523 - pyskl - INFO - Epoch [96][500/1281] lr: 7.323e-03, eta: 7:54:02, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.2127, loss: 0.2127 2023-12-12 22:11:35,682 - pyskl - INFO - Epoch [96][600/1281] lr: 7.304e-03, eta: 7:53:22, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.2228, loss: 0.2228 2023-12-12 22:12:17,862 - pyskl - INFO - Epoch [96][700/1281] lr: 7.286e-03, eta: 7:52:43, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.2188, loss: 0.2188 2023-12-12 22:12:59,999 - pyskl - INFO - Epoch [96][800/1281] lr: 7.267e-03, eta: 7:52:03, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.2306, loss: 0.2306 2023-12-12 22:13:43,145 - pyskl - INFO - Epoch [96][900/1281] lr: 7.249e-03, eta: 7:51:23, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1979, loss: 0.1979 2023-12-12 22:14:26,355 - pyskl - INFO - Epoch [96][1000/1281] lr: 7.230e-03, eta: 7:50:44, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1866, loss: 0.1866 2023-12-12 22:15:09,454 - pyskl - INFO - Epoch [96][1100/1281] lr: 7.211e-03, eta: 7:50:05, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1928, loss: 0.1928 2023-12-12 22:15:52,873 - pyskl - INFO - Epoch [96][1200/1281] lr: 7.193e-03, eta: 7:49:26, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.2548, loss: 0.2548 2023-12-12 22:16:28,579 - pyskl - INFO - Saving checkpoint at 96 epochs 2023-12-12 22:17:27,673 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 22:17:27,742 - pyskl - INFO - top1_acc 0.9196 top5_acc 0.9951 2023-12-12 22:17:27,742 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 22:17:27,754 - pyskl - INFO - mean_acc 0.8953 2023-12-12 22:17:27,758 - pyskl - INFO - Epoch(val) [96][533] top1_acc: 0.9196, top5_acc: 0.9951, mean_class_accuracy: 0.8953 2023-12-12 22:18:21,127 - pyskl - INFO - Epoch [97][100/1281] lr: 7.159e-03, eta: 7:48:01, time: 0.534, data_time: 0.200, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1989, loss: 0.1989 2023-12-12 22:18:52,931 - pyskl - INFO - Epoch [97][200/1281] lr: 7.141e-03, eta: 7:47:15, time: 0.318, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1685, loss: 0.1685 2023-12-12 22:19:35,363 - pyskl - INFO - Epoch [97][300/1281] lr: 7.123e-03, eta: 7:46:36, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1537, loss: 0.1537 2023-12-12 22:20:17,562 - pyskl - INFO - Epoch [97][400/1281] lr: 7.104e-03, eta: 7:45:56, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1738, loss: 0.1738 2023-12-12 22:20:59,605 - pyskl - INFO - Epoch [97][500/1281] lr: 7.086e-03, eta: 7:45:16, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1837, loss: 0.1837 2023-12-12 22:21:41,650 - pyskl - INFO - Epoch [97][600/1281] lr: 7.067e-03, eta: 7:44:36, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1636, loss: 0.1636 2023-12-12 22:22:24,795 - pyskl - INFO - Epoch [97][700/1281] lr: 7.049e-03, eta: 7:43:57, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.2027, loss: 0.2027 2023-12-12 22:23:08,086 - pyskl - INFO - Epoch [97][800/1281] lr: 7.030e-03, eta: 7:43:18, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.2398, loss: 0.2398 2023-12-12 22:23:51,578 - pyskl - INFO - Epoch [97][900/1281] lr: 7.012e-03, eta: 7:42:38, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.2041, loss: 0.2041 2023-12-12 22:24:35,070 - pyskl - INFO - Epoch [97][1000/1281] lr: 6.994e-03, eta: 7:41:59, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.2140, loss: 0.2140 2023-12-12 22:25:17,077 - pyskl - INFO - Epoch [97][1100/1281] lr: 6.975e-03, eta: 7:41:19, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.2085, loss: 0.2085 2023-12-12 22:25:59,017 - pyskl - INFO - Epoch [97][1200/1281] lr: 6.957e-03, eta: 7:40:39, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.2202, loss: 0.2202 2023-12-12 22:26:33,821 - pyskl - INFO - Saving checkpoint at 97 epochs 2023-12-12 22:27:34,331 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 22:27:34,396 - pyskl - INFO - top1_acc 0.9059 top5_acc 0.9954 2023-12-12 22:27:34,396 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 22:27:34,409 - pyskl - INFO - mean_acc 0.8799 2023-12-12 22:27:34,412 - pyskl - INFO - Epoch(val) [97][533] top1_acc: 0.9059, top5_acc: 0.9954, mean_class_accuracy: 0.8799 2023-12-12 22:28:28,375 - pyskl - INFO - Epoch [98][100/1281] lr: 6.924e-03, eta: 7:39:15, time: 0.540, data_time: 0.204, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1643, loss: 0.1643 2023-12-12 22:28:59,587 - pyskl - INFO - Epoch [98][200/1281] lr: 6.906e-03, eta: 7:38:29, time: 0.312, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1862, loss: 0.1862 2023-12-12 22:29:41,483 - pyskl - INFO - Epoch [98][300/1281] lr: 6.887e-03, eta: 7:37:49, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1927, loss: 0.1927 2023-12-12 22:30:23,513 - pyskl - INFO - Epoch [98][400/1281] lr: 6.869e-03, eta: 7:37:10, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1728, loss: 0.1728 2023-12-12 22:31:05,613 - pyskl - INFO - Epoch [98][500/1281] lr: 6.851e-03, eta: 7:36:30, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.2028, loss: 0.2028 2023-12-12 22:31:47,739 - pyskl - INFO - Epoch [98][600/1281] lr: 6.833e-03, eta: 7:35:50, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1850, loss: 0.1850 2023-12-12 22:32:29,840 - pyskl - INFO - Epoch [98][700/1281] lr: 6.814e-03, eta: 7:35:10, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1865, loss: 0.1865 2023-12-12 22:33:11,873 - pyskl - INFO - Epoch [98][800/1281] lr: 6.796e-03, eta: 7:34:30, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.2068, loss: 0.2068 2023-12-12 22:33:53,921 - pyskl - INFO - Epoch [98][900/1281] lr: 6.778e-03, eta: 7:33:50, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.2142, loss: 0.2142 2023-12-12 22:34:36,889 - pyskl - INFO - Epoch [98][1000/1281] lr: 6.760e-03, eta: 7:33:11, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.2021, loss: 0.2021 2023-12-12 22:35:20,197 - pyskl - INFO - Epoch [98][1100/1281] lr: 6.742e-03, eta: 7:32:32, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.2095, loss: 0.2095 2023-12-12 22:36:03,542 - pyskl - INFO - Epoch [98][1200/1281] lr: 6.724e-03, eta: 7:31:52, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.2084, loss: 0.2084 2023-12-12 22:36:39,214 - pyskl - INFO - Saving checkpoint at 98 epochs 2023-12-12 22:37:40,004 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 22:37:40,117 - pyskl - INFO - top1_acc 0.9258 top5_acc 0.9955 2023-12-12 22:37:40,118 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 22:37:40,131 - pyskl - INFO - mean_acc 0.8987 2023-12-12 22:37:40,142 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_95.pth was removed 2023-12-12 22:37:40,378 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. 2023-12-12 22:37:40,379 - pyskl - INFO - Best top1_acc is 0.9258 at 98 epoch. 2023-12-12 22:37:40,382 - pyskl - INFO - Epoch(val) [98][533] top1_acc: 0.9258, top5_acc: 0.9955, mean_class_accuracy: 0.8987 2023-12-12 22:38:35,459 - pyskl - INFO - Epoch [99][100/1281] lr: 6.691e-03, eta: 7:30:29, time: 0.551, data_time: 0.212, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1635, loss: 0.1635 2023-12-12 22:39:06,651 - pyskl - INFO - Epoch [99][200/1281] lr: 6.673e-03, eta: 7:29:43, time: 0.312, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1899, loss: 0.1899 2023-12-12 22:39:48,748 - pyskl - INFO - Epoch [99][300/1281] lr: 6.655e-03, eta: 7:29:03, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1972, loss: 0.1972 2023-12-12 22:40:30,776 - pyskl - INFO - Epoch [99][400/1281] lr: 6.637e-03, eta: 7:28:24, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1735, loss: 0.1735 2023-12-12 22:41:13,783 - pyskl - INFO - Epoch [99][500/1281] lr: 6.619e-03, eta: 7:27:44, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1829, loss: 0.1829 2023-12-12 22:41:56,604 - pyskl - INFO - Epoch [99][600/1281] lr: 6.601e-03, eta: 7:27:05, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.2117, loss: 0.2117 2023-12-12 22:42:38,634 - pyskl - INFO - Epoch [99][700/1281] lr: 6.583e-03, eta: 7:26:25, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.2018, loss: 0.2018 2023-12-12 22:43:20,680 - pyskl - INFO - Epoch [99][800/1281] lr: 6.565e-03, eta: 7:25:45, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.2176, loss: 0.2176 2023-12-12 22:44:02,742 - pyskl - INFO - Epoch [99][900/1281] lr: 6.547e-03, eta: 7:25:05, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 0.2295, loss: 0.2295 2023-12-12 22:44:44,680 - pyskl - INFO - Epoch [99][1000/1281] lr: 6.529e-03, eta: 7:24:25, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.2054, loss: 0.2054 2023-12-12 22:45:26,665 - pyskl - INFO - Epoch [99][1100/1281] lr: 6.511e-03, eta: 7:23:45, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1891, loss: 0.1891 2023-12-12 22:46:08,738 - pyskl - INFO - Epoch [99][1200/1281] lr: 6.493e-03, eta: 7:23:05, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1694, loss: 0.1694 2023-12-12 22:46:44,138 - pyskl - INFO - Saving checkpoint at 99 epochs 2023-12-12 22:47:44,788 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 22:47:44,845 - pyskl - INFO - top1_acc 0.9154 top5_acc 0.9940 2023-12-12 22:47:44,845 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 22:47:44,852 - pyskl - INFO - mean_acc 0.8888 2023-12-12 22:47:44,855 - pyskl - INFO - Epoch(val) [99][533] top1_acc: 0.9154, top5_acc: 0.9940, mean_class_accuracy: 0.8888 2023-12-12 22:48:39,130 - pyskl - INFO - Epoch [100][100/1281] lr: 6.460e-03, eta: 7:21:42, time: 0.543, data_time: 0.200, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1920, loss: 0.1920 2023-12-12 22:49:10,279 - pyskl - INFO - Epoch [100][200/1281] lr: 6.442e-03, eta: 7:20:56, time: 0.311, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1403, loss: 0.1403 2023-12-12 22:49:52,566 - pyskl - INFO - Epoch [100][300/1281] lr: 6.425e-03, eta: 7:20:16, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1914, loss: 0.1914 2023-12-12 22:50:34,828 - pyskl - INFO - Epoch [100][400/1281] lr: 6.407e-03, eta: 7:19:37, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1875, loss: 0.1875 2023-12-12 22:51:17,102 - pyskl - INFO - Epoch [100][500/1281] lr: 6.389e-03, eta: 7:18:57, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1717, loss: 0.1717 2023-12-12 22:51:59,275 - pyskl - INFO - Epoch [100][600/1281] lr: 6.371e-03, eta: 7:18:17, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1767, loss: 0.1767 2023-12-12 22:52:41,147 - pyskl - INFO - Epoch [100][700/1281] lr: 6.353e-03, eta: 7:17:37, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1580, loss: 0.1580 2023-12-12 22:53:23,272 - pyskl - INFO - Epoch [100][800/1281] lr: 6.336e-03, eta: 7:16:57, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1726, loss: 0.1726 2023-12-12 22:54:05,343 - pyskl - INFO - Epoch [100][900/1281] lr: 6.318e-03, eta: 7:16:17, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1425, loss: 0.1425 2023-12-12 22:54:47,515 - pyskl - INFO - Epoch [100][1000/1281] lr: 6.300e-03, eta: 7:15:37, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.2083, loss: 0.2083 2023-12-12 22:55:30,453 - pyskl - INFO - Epoch [100][1100/1281] lr: 6.282e-03, eta: 7:14:58, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1703, loss: 0.1703 2023-12-12 22:56:13,445 - pyskl - INFO - Epoch [100][1200/1281] lr: 6.265e-03, eta: 7:14:18, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1907, loss: 0.1907 2023-12-12 22:56:48,272 - pyskl - INFO - Saving checkpoint at 100 epochs 2023-12-12 22:57:49,226 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 22:57:49,283 - pyskl - INFO - top1_acc 0.9153 top5_acc 0.9952 2023-12-12 22:57:49,283 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 22:57:49,293 - pyskl - INFO - mean_acc 0.8912 2023-12-12 22:57:49,296 - pyskl - INFO - Epoch(val) [100][533] top1_acc: 0.9153, top5_acc: 0.9952, mean_class_accuracy: 0.8912 2023-12-12 22:58:43,225 - pyskl - INFO - Epoch [101][100/1281] lr: 6.232e-03, eta: 7:12:55, time: 0.539, data_time: 0.198, memory: 4120, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1720, loss: 0.1720 2023-12-12 22:59:15,058 - pyskl - INFO - Epoch [101][200/1281] lr: 6.215e-03, eta: 7:12:10, time: 0.318, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.2042, loss: 0.2042 2023-12-12 22:59:58,220 - pyskl - INFO - Epoch [101][300/1281] lr: 6.197e-03, eta: 7:11:31, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2318, loss: 0.2318 2023-12-12 23:00:41,327 - pyskl - INFO - Epoch [101][400/1281] lr: 6.180e-03, eta: 7:10:51, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2241, loss: 0.2241 2023-12-12 23:01:24,820 - pyskl - INFO - Epoch [101][500/1281] lr: 6.162e-03, eta: 7:10:12, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1844, loss: 0.1844 2023-12-12 23:02:08,161 - pyskl - INFO - Epoch [101][600/1281] lr: 6.144e-03, eta: 7:09:33, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1932, loss: 0.1932 2023-12-12 23:02:51,538 - pyskl - INFO - Epoch [101][700/1281] lr: 6.127e-03, eta: 7:08:54, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1575, loss: 0.1575 2023-12-12 23:03:34,239 - pyskl - INFO - Epoch [101][800/1281] lr: 6.109e-03, eta: 7:08:14, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.2003, loss: 0.2003 2023-12-12 23:04:16,754 - pyskl - INFO - Epoch [101][900/1281] lr: 6.092e-03, eta: 7:07:34, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2195, loss: 0.2195 2023-12-12 23:05:00,080 - pyskl - INFO - Epoch [101][1000/1281] lr: 6.074e-03, eta: 7:06:55, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1839, loss: 0.1839 2023-12-12 23:05:42,590 - pyskl - INFO - Epoch [101][1100/1281] lr: 6.057e-03, eta: 7:06:15, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.2019, loss: 0.2019 2023-12-12 23:06:24,520 - pyskl - INFO - Epoch [101][1200/1281] lr: 6.039e-03, eta: 7:05:35, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1898, loss: 0.1898 2023-12-12 23:06:59,144 - pyskl - INFO - Saving checkpoint at 101 epochs 2023-12-12 23:07:59,830 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 23:07:59,918 - pyskl - INFO - top1_acc 0.9027 top5_acc 0.9946 2023-12-12 23:07:59,919 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 23:07:59,927 - pyskl - INFO - mean_acc 0.8736 2023-12-12 23:07:59,930 - pyskl - INFO - Epoch(val) [101][533] top1_acc: 0.9027, top5_acc: 0.9946, mean_class_accuracy: 0.8736 2023-12-12 23:08:54,605 - pyskl - INFO - Epoch [102][100/1281] lr: 6.007e-03, eta: 7:04:13, time: 0.547, data_time: 0.202, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1588, loss: 0.1588 2023-12-12 23:09:25,372 - pyskl - INFO - Epoch [102][200/1281] lr: 5.990e-03, eta: 7:03:27, time: 0.308, data_time: 0.001, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1342, loss: 0.1342 2023-12-12 23:10:08,080 - pyskl - INFO - Epoch [102][300/1281] lr: 5.972e-03, eta: 7:02:48, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1449, loss: 0.1449 2023-12-12 23:10:50,295 - pyskl - INFO - Epoch [102][400/1281] lr: 5.955e-03, eta: 7:02:08, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.2007, loss: 0.2007 2023-12-12 23:11:32,638 - pyskl - INFO - Epoch [102][500/1281] lr: 5.938e-03, eta: 7:01:28, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.2197, loss: 0.2197 2023-12-12 23:12:14,731 - pyskl - INFO - Epoch [102][600/1281] lr: 5.920e-03, eta: 7:00:48, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1775, loss: 0.1775 2023-12-12 23:12:56,862 - pyskl - INFO - Epoch [102][700/1281] lr: 5.903e-03, eta: 7:00:08, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1940, loss: 0.1940 2023-12-12 23:13:38,938 - pyskl - INFO - Epoch [102][800/1281] lr: 5.886e-03, eta: 6:59:28, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1927, loss: 0.1927 2023-12-12 23:14:21,014 - pyskl - INFO - Epoch [102][900/1281] lr: 5.868e-03, eta: 6:58:48, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1876, loss: 0.1876 2023-12-12 23:15:02,891 - pyskl - INFO - Epoch [102][1000/1281] lr: 5.851e-03, eta: 6:58:08, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1823, loss: 0.1823 2023-12-12 23:15:44,984 - pyskl - INFO - Epoch [102][1100/1281] lr: 5.834e-03, eta: 6:57:29, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1902, loss: 0.1902 2023-12-12 23:16:27,256 - pyskl - INFO - Epoch [102][1200/1281] lr: 5.816e-03, eta: 6:56:49, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1890, loss: 0.1890 2023-12-12 23:17:02,141 - pyskl - INFO - Saving checkpoint at 102 epochs 2023-12-12 23:18:04,465 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 23:18:04,525 - pyskl - INFO - top1_acc 0.9150 top5_acc 0.9940 2023-12-12 23:18:04,525 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 23:18:04,533 - pyskl - INFO - mean_acc 0.8904 2023-12-12 23:18:04,536 - pyskl - INFO - Epoch(val) [102][533] top1_acc: 0.9150, top5_acc: 0.9940, mean_class_accuracy: 0.8904 2023-12-12 23:19:00,540 - pyskl - INFO - Epoch [103][100/1281] lr: 5.785e-03, eta: 6:55:27, time: 0.560, data_time: 0.200, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1332, loss: 0.1332 2023-12-12 23:19:31,032 - pyskl - INFO - Epoch [103][200/1281] lr: 5.768e-03, eta: 6:54:42, time: 0.305, data_time: 0.001, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1557, loss: 0.1557 2023-12-12 23:20:14,199 - pyskl - INFO - Epoch [103][300/1281] lr: 5.751e-03, eta: 6:54:02, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1328, loss: 0.1328 2023-12-12 23:20:57,112 - pyskl - INFO - Epoch [103][400/1281] lr: 5.733e-03, eta: 6:53:23, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1858, loss: 0.1858 2023-12-12 23:21:39,853 - pyskl - INFO - Epoch [103][500/1281] lr: 5.716e-03, eta: 6:52:43, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1506, loss: 0.1506 2023-12-12 23:22:21,806 - pyskl - INFO - Epoch [103][600/1281] lr: 5.699e-03, eta: 6:52:03, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1628, loss: 0.1628 2023-12-12 23:23:04,893 - pyskl - INFO - Epoch [103][700/1281] lr: 5.682e-03, eta: 6:51:24, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1611, loss: 0.1611 2023-12-12 23:23:48,213 - pyskl - INFO - Epoch [103][800/1281] lr: 5.665e-03, eta: 6:50:44, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1935, loss: 0.1935 2023-12-12 23:24:31,112 - pyskl - INFO - Epoch [103][900/1281] lr: 5.648e-03, eta: 6:50:05, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1624, loss: 0.1624 2023-12-12 23:25:14,298 - pyskl - INFO - Epoch [103][1000/1281] lr: 5.631e-03, eta: 6:49:25, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1989, loss: 0.1989 2023-12-12 23:25:57,243 - pyskl - INFO - Epoch [103][1100/1281] lr: 5.614e-03, eta: 6:48:46, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.2040, loss: 0.2040 2023-12-12 23:26:40,370 - pyskl - INFO - Epoch [103][1200/1281] lr: 5.597e-03, eta: 6:48:06, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1916, loss: 0.1916 2023-12-12 23:27:16,267 - pyskl - INFO - Saving checkpoint at 103 epochs 2023-12-12 23:28:18,310 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 23:28:18,383 - pyskl - INFO - top1_acc 0.9208 top5_acc 0.9959 2023-12-12 23:28:18,383 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 23:28:18,395 - pyskl - INFO - mean_acc 0.8957 2023-12-12 23:28:18,399 - pyskl - INFO - Epoch(val) [103][533] top1_acc: 0.9208, top5_acc: 0.9959, mean_class_accuracy: 0.8957 2023-12-12 23:29:13,338 - pyskl - INFO - Epoch [104][100/1281] lr: 5.566e-03, eta: 6:46:44, time: 0.549, data_time: 0.200, memory: 4120, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.1141, loss: 0.1141 2023-12-12 23:29:43,931 - pyskl - INFO - Epoch [104][200/1281] lr: 5.549e-03, eta: 6:45:59, time: 0.306, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1504, loss: 0.1504 2023-12-12 23:30:25,872 - pyskl - INFO - Epoch [104][300/1281] lr: 5.532e-03, eta: 6:45:19, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1819, loss: 0.1819 2023-12-12 23:31:08,452 - pyskl - INFO - Epoch [104][400/1281] lr: 5.515e-03, eta: 6:44:39, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1559, loss: 0.1559 2023-12-12 23:31:51,855 - pyskl - INFO - Epoch [104][500/1281] lr: 5.498e-03, eta: 6:44:00, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.1402, loss: 0.1402 2023-12-12 23:32:35,040 - pyskl - INFO - Epoch [104][600/1281] lr: 5.481e-03, eta: 6:43:21, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1303, loss: 0.1303 2023-12-12 23:33:18,203 - pyskl - INFO - Epoch [104][700/1281] lr: 5.464e-03, eta: 6:42:41, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.1044, loss: 0.1044 2023-12-12 23:34:01,209 - pyskl - INFO - Epoch [104][800/1281] lr: 5.447e-03, eta: 6:42:02, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.1158, loss: 0.1158 2023-12-12 23:34:44,005 - pyskl - INFO - Epoch [104][900/1281] lr: 5.430e-03, eta: 6:41:22, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1986, loss: 0.1986 2023-12-12 23:35:26,096 - pyskl - INFO - Epoch [104][1000/1281] lr: 5.413e-03, eta: 6:40:42, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1654, loss: 0.1654 2023-12-12 23:36:08,160 - pyskl - INFO - Epoch [104][1100/1281] lr: 5.397e-03, eta: 6:40:02, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1627, loss: 0.1627 2023-12-12 23:36:50,236 - pyskl - INFO - Epoch [104][1200/1281] lr: 5.380e-03, eta: 6:39:22, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1385, loss: 0.1385 2023-12-12 23:37:24,984 - pyskl - INFO - Saving checkpoint at 104 epochs 2023-12-12 23:38:27,158 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 23:38:27,216 - pyskl - INFO - top1_acc 0.9173 top5_acc 0.9942 2023-12-12 23:38:27,216 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 23:38:27,225 - pyskl - INFO - mean_acc 0.8857 2023-12-12 23:38:27,227 - pyskl - INFO - Epoch(val) [104][533] top1_acc: 0.9173, top5_acc: 0.9942, mean_class_accuracy: 0.8857 2023-12-12 23:39:23,140 - pyskl - INFO - Epoch [105][100/1281] lr: 5.349e-03, eta: 6:38:01, time: 0.559, data_time: 0.198, memory: 4120, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1635, loss: 0.1635 2023-12-12 23:39:52,797 - pyskl - INFO - Epoch [105][200/1281] lr: 5.333e-03, eta: 6:37:16, time: 0.297, data_time: 0.001, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1285, loss: 0.1285 2023-12-12 23:40:34,999 - pyskl - INFO - Epoch [105][300/1281] lr: 5.316e-03, eta: 6:36:36, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1738, loss: 0.1738 2023-12-12 23:41:17,007 - pyskl - INFO - Epoch [105][400/1281] lr: 5.299e-03, eta: 6:35:56, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1405, loss: 0.1405 2023-12-12 23:41:59,091 - pyskl - INFO - Epoch [105][500/1281] lr: 5.283e-03, eta: 6:35:16, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1462, loss: 0.1462 2023-12-12 23:42:41,477 - pyskl - INFO - Epoch [105][600/1281] lr: 5.266e-03, eta: 6:34:36, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1334, loss: 0.1334 2023-12-12 23:43:24,715 - pyskl - INFO - Epoch [105][700/1281] lr: 5.249e-03, eta: 6:33:56, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1666, loss: 0.1666 2023-12-12 23:44:08,077 - pyskl - INFO - Epoch [105][800/1281] lr: 5.233e-03, eta: 6:33:17, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1839, loss: 0.1839 2023-12-12 23:44:51,206 - pyskl - INFO - Epoch [105][900/1281] lr: 5.216e-03, eta: 6:32:38, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1831, loss: 0.1831 2023-12-12 23:45:33,364 - pyskl - INFO - Epoch [105][1000/1281] lr: 5.199e-03, eta: 6:31:58, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1616, loss: 0.1616 2023-12-12 23:46:15,432 - pyskl - INFO - Epoch [105][1100/1281] lr: 5.183e-03, eta: 6:31:18, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1644, loss: 0.1644 2023-12-12 23:46:58,233 - pyskl - INFO - Epoch [105][1200/1281] lr: 5.166e-03, eta: 6:30:38, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1545, loss: 0.1545 2023-12-12 23:47:34,011 - pyskl - INFO - Saving checkpoint at 105 epochs 2023-12-12 23:48:36,466 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 23:48:36,525 - pyskl - INFO - top1_acc 0.9269 top5_acc 0.9966 2023-12-12 23:48:36,526 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 23:48:36,536 - pyskl - INFO - mean_acc 0.8990 2023-12-12 23:48:36,541 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_98.pth was removed 2023-12-12 23:48:36,764 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. 2023-12-12 23:48:36,764 - pyskl - INFO - Best top1_acc is 0.9269 at 105 epoch. 2023-12-12 23:48:36,768 - pyskl - INFO - Epoch(val) [105][533] top1_acc: 0.9269, top5_acc: 0.9966, mean_class_accuracy: 0.8990 2023-12-12 23:49:31,891 - pyskl - INFO - Epoch [106][100/1281] lr: 5.136e-03, eta: 6:29:17, time: 0.551, data_time: 0.188, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1219, loss: 0.1219 2023-12-12 23:50:00,413 - pyskl - INFO - Epoch [106][200/1281] lr: 5.120e-03, eta: 6:28:31, time: 0.285, data_time: 0.001, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1144, loss: 0.1144 2023-12-12 23:50:43,706 - pyskl - INFO - Epoch [106][300/1281] lr: 5.103e-03, eta: 6:27:52, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1424, loss: 0.1424 2023-12-12 23:51:26,748 - pyskl - INFO - Epoch [106][400/1281] lr: 5.087e-03, eta: 6:27:12, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1609, loss: 0.1609 2023-12-12 23:52:09,620 - pyskl - INFO - Epoch [106][500/1281] lr: 5.070e-03, eta: 6:26:32, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1686, loss: 0.1686 2023-12-12 23:52:51,476 - pyskl - INFO - Epoch [106][600/1281] lr: 5.054e-03, eta: 6:25:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1556, loss: 0.1556 2023-12-12 23:53:33,638 - pyskl - INFO - Epoch [106][700/1281] lr: 5.038e-03, eta: 6:25:12, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1296, loss: 0.1296 2023-12-12 23:54:15,740 - pyskl - INFO - Epoch [106][800/1281] lr: 5.021e-03, eta: 6:24:32, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1470, loss: 0.1470 2023-12-12 23:54:57,719 - pyskl - INFO - Epoch [106][900/1281] lr: 5.005e-03, eta: 6:23:52, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1253, loss: 0.1253 2023-12-12 23:55:39,692 - pyskl - INFO - Epoch [106][1000/1281] lr: 4.988e-03, eta: 6:23:12, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1349, loss: 0.1349 2023-12-12 23:56:21,764 - pyskl - INFO - Epoch [106][1100/1281] lr: 4.972e-03, eta: 6:22:32, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1528, loss: 0.1528 2023-12-12 23:57:03,843 - pyskl - INFO - Epoch [106][1200/1281] lr: 4.956e-03, eta: 6:21:52, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1393, loss: 0.1393 2023-12-12 23:57:38,647 - pyskl - INFO - Saving checkpoint at 106 epochs 2023-12-12 23:58:43,562 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-12 23:58:43,620 - pyskl - INFO - top1_acc 0.9136 top5_acc 0.9958 2023-12-12 23:58:43,620 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-12 23:58:43,628 - pyskl - INFO - mean_acc 0.8801 2023-12-12 23:58:43,630 - pyskl - INFO - Epoch(val) [106][533] top1_acc: 0.9136, top5_acc: 0.9958, mean_class_accuracy: 0.8801 2023-12-12 23:59:41,919 - pyskl - INFO - Epoch [107][100/1281] lr: 4.926e-03, eta: 6:20:33, time: 0.583, data_time: 0.203, memory: 4120, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.2039, loss: 0.2039 2023-12-13 00:00:09,560 - pyskl - INFO - Epoch [107][200/1281] lr: 4.910e-03, eta: 6:19:47, time: 0.276, data_time: 0.001, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1534, loss: 0.1534 2023-12-13 00:00:51,656 - pyskl - INFO - Epoch [107][300/1281] lr: 4.894e-03, eta: 6:19:07, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1684, loss: 0.1684 2023-12-13 00:01:34,102 - pyskl - INFO - Epoch [107][400/1281] lr: 4.878e-03, eta: 6:18:27, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1624, loss: 0.1624 2023-12-13 00:02:17,356 - pyskl - INFO - Epoch [107][500/1281] lr: 4.862e-03, eta: 6:17:48, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1842, loss: 0.1842 2023-12-13 00:03:00,640 - pyskl - INFO - Epoch [107][600/1281] lr: 4.845e-03, eta: 6:17:08, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1836, loss: 0.1836 2023-12-13 00:03:43,231 - pyskl - INFO - Epoch [107][700/1281] lr: 4.829e-03, eta: 6:16:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.1036, loss: 0.1036 2023-12-13 00:04:25,285 - pyskl - INFO - Epoch [107][800/1281] lr: 4.813e-03, eta: 6:15:48, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1558, loss: 0.1558 2023-12-13 00:05:08,127 - pyskl - INFO - Epoch [107][900/1281] lr: 4.797e-03, eta: 6:15:09, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1407, loss: 0.1407 2023-12-13 00:05:50,945 - pyskl - INFO - Epoch [107][1000/1281] lr: 4.781e-03, eta: 6:14:29, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1614, loss: 0.1614 2023-12-13 00:06:32,957 - pyskl - INFO - Epoch [107][1100/1281] lr: 4.765e-03, eta: 6:13:49, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1883, loss: 0.1883 2023-12-13 00:07:14,959 - pyskl - INFO - Epoch [107][1200/1281] lr: 4.749e-03, eta: 6:13:09, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1291, loss: 0.1291 2023-12-13 00:07:49,462 - pyskl - INFO - Saving checkpoint at 107 epochs 2023-12-13 00:08:52,819 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 00:08:52,890 - pyskl - INFO - top1_acc 0.9282 top5_acc 0.9957 2023-12-13 00:08:52,890 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 00:08:52,902 - pyskl - INFO - mean_acc 0.8999 2023-12-13 00:08:52,909 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_105.pth was removed 2023-12-13 00:08:53,300 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. 2023-12-13 00:08:53,300 - pyskl - INFO - Best top1_acc is 0.9282 at 107 epoch. 2023-12-13 00:08:53,303 - pyskl - INFO - Epoch(val) [107][533] top1_acc: 0.9282, top5_acc: 0.9957, mean_class_accuracy: 0.8999 2023-12-13 00:09:48,694 - pyskl - INFO - Epoch [108][100/1281] lr: 4.720e-03, eta: 6:11:48, time: 0.554, data_time: 0.187, memory: 4120, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1442, loss: 0.1442 2023-12-13 00:10:17,529 - pyskl - INFO - Epoch [108][200/1281] lr: 4.704e-03, eta: 6:11:03, time: 0.288, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1334, loss: 0.1334 2023-12-13 00:10:59,623 - pyskl - INFO - Epoch [108][300/1281] lr: 4.688e-03, eta: 6:10:23, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1552, loss: 0.1552 2023-12-13 00:11:42,479 - pyskl - INFO - Epoch [108][400/1281] lr: 4.672e-03, eta: 6:09:43, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1568, loss: 0.1568 2023-12-13 00:12:24,442 - pyskl - INFO - Epoch [108][500/1281] lr: 4.656e-03, eta: 6:09:03, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1270, loss: 0.1270 2023-12-13 00:13:06,328 - pyskl - INFO - Epoch [108][600/1281] lr: 4.640e-03, eta: 6:08:23, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1171, loss: 0.1171 2023-12-13 00:13:48,189 - pyskl - INFO - Epoch [108][700/1281] lr: 4.624e-03, eta: 6:07:43, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0944, loss: 0.0944 2023-12-13 00:14:30,042 - pyskl - INFO - Epoch [108][800/1281] lr: 4.608e-03, eta: 6:07:03, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1068, loss: 0.1068 2023-12-13 00:15:11,973 - pyskl - INFO - Epoch [108][900/1281] lr: 4.593e-03, eta: 6:06:23, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1469, loss: 0.1469 2023-12-13 00:15:54,749 - pyskl - INFO - Epoch [108][1000/1281] lr: 4.577e-03, eta: 6:05:43, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1242, loss: 0.1242 2023-12-13 00:16:37,660 - pyskl - INFO - Epoch [108][1100/1281] lr: 4.561e-03, eta: 6:05:04, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1748, loss: 0.1748 2023-12-13 00:17:20,738 - pyskl - INFO - Epoch [108][1200/1281] lr: 4.545e-03, eta: 6:04:24, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1565, loss: 0.1565 2023-12-13 00:17:56,079 - pyskl - INFO - Saving checkpoint at 108 epochs 2023-12-13 00:18:58,855 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 00:18:58,911 - pyskl - INFO - top1_acc 0.9237 top5_acc 0.9938 2023-12-13 00:18:58,911 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 00:18:58,918 - pyskl - INFO - mean_acc 0.8945 2023-12-13 00:18:58,920 - pyskl - INFO - Epoch(val) [108][533] top1_acc: 0.9237, top5_acc: 0.9938, mean_class_accuracy: 0.8945 2023-12-13 00:19:56,347 - pyskl - INFO - Epoch [109][100/1281] lr: 4.517e-03, eta: 6:03:05, time: 0.574, data_time: 0.186, memory: 4120, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1265, loss: 0.1265 2023-12-13 00:20:24,086 - pyskl - INFO - Epoch [109][200/1281] lr: 4.501e-03, eta: 6:02:19, time: 0.277, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1332, loss: 0.1332 2023-12-13 00:21:05,990 - pyskl - INFO - Epoch [109][300/1281] lr: 4.485e-03, eta: 6:01:39, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1206, loss: 0.1206 2023-12-13 00:21:47,902 - pyskl - INFO - Epoch [109][400/1281] lr: 4.470e-03, eta: 6:00:59, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0968, loss: 0.0968 2023-12-13 00:22:29,982 - pyskl - INFO - Epoch [109][500/1281] lr: 4.454e-03, eta: 6:00:19, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1340, loss: 0.1340 2023-12-13 00:23:11,995 - pyskl - INFO - Epoch [109][600/1281] lr: 4.438e-03, eta: 5:59:39, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1280, loss: 0.1280 2023-12-13 00:23:54,927 - pyskl - INFO - Epoch [109][700/1281] lr: 4.423e-03, eta: 5:58:59, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1124, loss: 0.1124 2023-12-13 00:24:37,859 - pyskl - INFO - Epoch [109][800/1281] lr: 4.407e-03, eta: 5:58:20, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1463, loss: 0.1463 2023-12-13 00:25:20,724 - pyskl - INFO - Epoch [109][900/1281] lr: 4.391e-03, eta: 5:57:40, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1635, loss: 0.1635 2023-12-13 00:26:03,735 - pyskl - INFO - Epoch [109][1000/1281] lr: 4.376e-03, eta: 5:57:00, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.1073, loss: 0.1073 2023-12-13 00:26:46,759 - pyskl - INFO - Epoch [109][1100/1281] lr: 4.360e-03, eta: 5:56:21, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1510, loss: 0.1510 2023-12-13 00:27:29,672 - pyskl - INFO - Epoch [109][1200/1281] lr: 4.345e-03, eta: 5:55:41, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1701, loss: 0.1701 2023-12-13 00:28:04,608 - pyskl - INFO - Saving checkpoint at 109 epochs 2023-12-13 00:29:08,067 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 00:29:08,124 - pyskl - INFO - top1_acc 0.9238 top5_acc 0.9954 2023-12-13 00:29:08,125 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 00:29:08,132 - pyskl - INFO - mean_acc 0.9008 2023-12-13 00:29:08,133 - pyskl - INFO - Epoch(val) [109][533] top1_acc: 0.9238, top5_acc: 0.9954, mean_class_accuracy: 0.9008 2023-12-13 00:30:05,401 - pyskl - INFO - Epoch [110][100/1281] lr: 4.317e-03, eta: 5:54:21, time: 0.573, data_time: 0.183, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1272, loss: 0.1272 2023-12-13 00:30:32,491 - pyskl - INFO - Epoch [110][200/1281] lr: 4.301e-03, eta: 5:53:36, time: 0.271, data_time: 0.001, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1208, loss: 0.1208 2023-12-13 00:31:14,451 - pyskl - INFO - Epoch [110][300/1281] lr: 4.286e-03, eta: 5:52:56, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0958, loss: 0.0958 2023-12-13 00:31:56,407 - pyskl - INFO - Epoch [110][400/1281] lr: 4.271e-03, eta: 5:52:16, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.1045, loss: 0.1045 2023-12-13 00:32:38,449 - pyskl - INFO - Epoch [110][500/1281] lr: 4.255e-03, eta: 5:51:36, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1045, loss: 0.1045 2023-12-13 00:33:20,890 - pyskl - INFO - Epoch [110][600/1281] lr: 4.240e-03, eta: 5:50:56, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1226, loss: 0.1226 2023-12-13 00:34:03,885 - pyskl - INFO - Epoch [110][700/1281] lr: 4.225e-03, eta: 5:50:16, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1227, loss: 0.1227 2023-12-13 00:34:46,885 - pyskl - INFO - Epoch [110][800/1281] lr: 4.209e-03, eta: 5:49:37, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.1100, loss: 0.1100 2023-12-13 00:35:29,224 - pyskl - INFO - Epoch [110][900/1281] lr: 4.194e-03, eta: 5:48:57, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1219, loss: 0.1219 2023-12-13 00:36:11,149 - pyskl - INFO - Epoch [110][1000/1281] lr: 4.179e-03, eta: 5:48:17, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1269, loss: 0.1269 2023-12-13 00:36:53,186 - pyskl - INFO - Epoch [110][1100/1281] lr: 4.164e-03, eta: 5:47:37, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1184, loss: 0.1184 2023-12-13 00:37:35,181 - pyskl - INFO - Epoch [110][1200/1281] lr: 4.148e-03, eta: 5:46:57, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1124, loss: 0.1124 2023-12-13 00:38:09,784 - pyskl - INFO - Saving checkpoint at 110 epochs 2023-12-13 00:39:14,107 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 00:39:14,182 - pyskl - INFO - top1_acc 0.9299 top5_acc 0.9964 2023-12-13 00:39:14,182 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 00:39:14,192 - pyskl - INFO - mean_acc 0.9021 2023-12-13 00:39:14,196 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_107.pth was removed 2023-12-13 00:39:14,429 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. 2023-12-13 00:39:14,429 - pyskl - INFO - Best top1_acc is 0.9299 at 110 epoch. 2023-12-13 00:39:14,433 - pyskl - INFO - Epoch(val) [110][533] top1_acc: 0.9299, top5_acc: 0.9964, mean_class_accuracy: 0.9021 2023-12-13 00:40:12,078 - pyskl - INFO - Epoch [111][100/1281] lr: 4.121e-03, eta: 5:45:37, time: 0.576, data_time: 0.184, memory: 4120, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1437, loss: 0.1437 2023-12-13 00:40:38,057 - pyskl - INFO - Epoch [111][200/1281] lr: 4.106e-03, eta: 5:44:52, time: 0.260, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.1081, loss: 0.1081 2023-12-13 00:41:19,953 - pyskl - INFO - Epoch [111][300/1281] lr: 4.091e-03, eta: 5:44:12, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0867, loss: 0.0867 2023-12-13 00:42:02,011 - pyskl - INFO - Epoch [111][400/1281] lr: 4.075e-03, eta: 5:43:32, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0972, loss: 0.0972 2023-12-13 00:42:43,876 - pyskl - INFO - Epoch [111][500/1281] lr: 4.060e-03, eta: 5:42:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.1030, loss: 0.1030 2023-12-13 00:43:26,967 - pyskl - INFO - Epoch [111][600/1281] lr: 4.045e-03, eta: 5:42:12, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1248, loss: 0.1248 2023-12-13 00:44:09,948 - pyskl - INFO - Epoch [111][700/1281] lr: 4.030e-03, eta: 5:41:32, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.1098, loss: 0.1098 2023-12-13 00:44:52,910 - pyskl - INFO - Epoch [111][800/1281] lr: 4.015e-03, eta: 5:40:53, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.1093, loss: 0.1093 2023-12-13 00:45:35,831 - pyskl - INFO - Epoch [111][900/1281] lr: 4.000e-03, eta: 5:40:13, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.1039, loss: 0.1039 2023-12-13 00:46:18,850 - pyskl - INFO - Epoch [111][1000/1281] lr: 3.985e-03, eta: 5:39:33, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1160, loss: 0.1160 2023-12-13 00:47:01,754 - pyskl - INFO - Epoch [111][1100/1281] lr: 3.970e-03, eta: 5:38:53, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1509, loss: 0.1509 2023-12-13 00:47:44,749 - pyskl - INFO - Epoch [111][1200/1281] lr: 3.955e-03, eta: 5:38:14, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1400, loss: 0.1400 2023-12-13 00:48:19,326 - pyskl - INFO - Saving checkpoint at 111 epochs 2023-12-13 00:49:25,204 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 00:49:25,284 - pyskl - INFO - top1_acc 0.9245 top5_acc 0.9947 2023-12-13 00:49:25,285 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 00:49:25,298 - pyskl - INFO - mean_acc 0.9000 2023-12-13 00:49:25,302 - pyskl - INFO - Epoch(val) [111][533] top1_acc: 0.9245, top5_acc: 0.9947, mean_class_accuracy: 0.9000 2023-12-13 00:50:25,362 - pyskl - INFO - Epoch [112][100/1281] lr: 3.928e-03, eta: 5:36:56, time: 0.601, data_time: 0.185, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1613, loss: 0.1613 2023-12-13 00:50:50,902 - pyskl - INFO - Epoch [112][200/1281] lr: 3.914e-03, eta: 5:36:10, time: 0.255, data_time: 0.001, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1220, loss: 0.1220 2023-12-13 00:51:33,318 - pyskl - INFO - Epoch [112][300/1281] lr: 3.899e-03, eta: 5:35:30, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1334, loss: 0.1334 2023-12-13 00:52:15,582 - pyskl - INFO - Epoch [112][400/1281] lr: 3.884e-03, eta: 5:34:50, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1317, loss: 0.1317 2023-12-13 00:52:58,696 - pyskl - INFO - Epoch [112][500/1281] lr: 3.869e-03, eta: 5:34:10, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1337, loss: 0.1337 2023-12-13 00:53:41,742 - pyskl - INFO - Epoch [112][600/1281] lr: 3.854e-03, eta: 5:33:31, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0951, loss: 0.0951 2023-12-13 00:54:24,761 - pyskl - INFO - Epoch [112][700/1281] lr: 3.840e-03, eta: 5:32:51, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.1001, loss: 0.1001 2023-12-13 00:55:07,692 - pyskl - INFO - Epoch [112][800/1281] lr: 3.825e-03, eta: 5:32:11, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1385, loss: 0.1385 2023-12-13 00:55:50,725 - pyskl - INFO - Epoch [112][900/1281] lr: 3.810e-03, eta: 5:31:32, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1185, loss: 0.1185 2023-12-13 00:56:33,590 - pyskl - INFO - Epoch [112][1000/1281] lr: 3.795e-03, eta: 5:30:52, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1268, loss: 0.1268 2023-12-13 00:57:15,479 - pyskl - INFO - Epoch [112][1100/1281] lr: 3.781e-03, eta: 5:30:12, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1424, loss: 0.1424 2023-12-13 00:57:57,493 - pyskl - INFO - Epoch [112][1200/1281] lr: 3.766e-03, eta: 5:29:32, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1459, loss: 0.1459 2023-12-13 00:58:32,127 - pyskl - INFO - Saving checkpoint at 112 epochs 2023-12-13 00:59:38,875 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 00:59:38,931 - pyskl - INFO - top1_acc 0.9308 top5_acc 0.9962 2023-12-13 00:59:38,932 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 00:59:38,939 - pyskl - INFO - mean_acc 0.9120 2023-12-13 00:59:38,943 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_110.pth was removed 2023-12-13 00:59:39,119 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. 2023-12-13 00:59:39,120 - pyskl - INFO - Best top1_acc is 0.9308 at 112 epoch. 2023-12-13 00:59:39,122 - pyskl - INFO - Epoch(val) [112][533] top1_acc: 0.9308, top5_acc: 0.9962, mean_class_accuracy: 0.9120 2023-12-13 01:00:38,961 - pyskl - INFO - Epoch [113][100/1281] lr: 3.740e-03, eta: 5:28:14, time: 0.598, data_time: 0.186, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0728, loss: 0.0728 2023-12-13 01:01:04,651 - pyskl - INFO - Epoch [113][200/1281] lr: 3.725e-03, eta: 5:27:28, time: 0.257, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0663, loss: 0.0663 2023-12-13 01:01:46,574 - pyskl - INFO - Epoch [113][300/1281] lr: 3.711e-03, eta: 5:26:48, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0792, loss: 0.0792 2023-12-13 01:02:28,607 - pyskl - INFO - Epoch [113][400/1281] lr: 3.696e-03, eta: 5:26:08, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0831, loss: 0.0831 2023-12-13 01:03:10,624 - pyskl - INFO - Epoch [113][500/1281] lr: 3.682e-03, eta: 5:25:28, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0858, loss: 0.0858 2023-12-13 01:03:53,181 - pyskl - INFO - Epoch [113][600/1281] lr: 3.667e-03, eta: 5:24:48, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1321, loss: 0.1321 2023-12-13 01:04:35,427 - pyskl - INFO - Epoch [113][700/1281] lr: 3.653e-03, eta: 5:24:08, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1130, loss: 0.1130 2023-12-13 01:05:17,354 - pyskl - INFO - Epoch [113][800/1281] lr: 3.638e-03, eta: 5:23:28, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.1054, loss: 0.1054 2023-12-13 01:05:59,225 - pyskl - INFO - Epoch [113][900/1281] lr: 3.624e-03, eta: 5:22:48, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.1024, loss: 0.1024 2023-12-13 01:06:41,753 - pyskl - INFO - Epoch [113][1000/1281] lr: 3.610e-03, eta: 5:22:08, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1027, loss: 0.1027 2023-12-13 01:07:24,733 - pyskl - INFO - Epoch [113][1100/1281] lr: 3.595e-03, eta: 5:21:28, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0980, loss: 0.0980 2023-12-13 01:08:07,717 - pyskl - INFO - Epoch [113][1200/1281] lr: 3.581e-03, eta: 5:20:49, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0903, loss: 0.0903 2023-12-13 01:08:43,425 - pyskl - INFO - Saving checkpoint at 113 epochs 2023-12-13 01:09:49,563 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 01:09:49,622 - pyskl - INFO - top1_acc 0.9173 top5_acc 0.9947 2023-12-13 01:09:49,623 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 01:09:49,633 - pyskl - INFO - mean_acc 0.8818 2023-12-13 01:09:49,637 - pyskl - INFO - Epoch(val) [113][533] top1_acc: 0.9173, top5_acc: 0.9947, mean_class_accuracy: 0.8818 2023-12-13 01:10:49,158 - pyskl - INFO - Epoch [114][100/1281] lr: 3.555e-03, eta: 5:19:31, time: 0.595, data_time: 0.183, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.1120, loss: 0.1120 2023-12-13 01:11:14,835 - pyskl - INFO - Epoch [114][200/1281] lr: 3.541e-03, eta: 5:18:45, time: 0.257, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0922, loss: 0.0922 2023-12-13 01:11:56,656 - pyskl - INFO - Epoch [114][300/1281] lr: 3.526e-03, eta: 5:18:05, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0723, loss: 0.0723 2023-12-13 01:12:38,635 - pyskl - INFO - Epoch [114][400/1281] lr: 3.512e-03, eta: 5:17:25, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0826, loss: 0.0826 2023-12-13 01:13:21,704 - pyskl - INFO - Epoch [114][500/1281] lr: 3.498e-03, eta: 5:16:46, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0961, loss: 0.0961 2023-12-13 01:14:04,755 - pyskl - INFO - Epoch [114][600/1281] lr: 3.484e-03, eta: 5:16:06, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0908, loss: 0.0908 2023-12-13 01:14:47,691 - pyskl - INFO - Epoch [114][700/1281] lr: 3.470e-03, eta: 5:15:26, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1246, loss: 0.1246 2023-12-13 01:15:30,662 - pyskl - INFO - Epoch [114][800/1281] lr: 3.456e-03, eta: 5:14:46, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1076, loss: 0.1076 2023-12-13 01:16:13,413 - pyskl - INFO - Epoch [114][900/1281] lr: 3.442e-03, eta: 5:14:06, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0922, loss: 0.0922 2023-12-13 01:16:56,438 - pyskl - INFO - Epoch [114][1000/1281] lr: 3.427e-03, eta: 5:13:27, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0777, loss: 0.0777 2023-12-13 01:17:39,337 - pyskl - INFO - Epoch [114][1100/1281] lr: 3.413e-03, eta: 5:12:47, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0781, loss: 0.0781 2023-12-13 01:18:22,313 - pyskl - INFO - Epoch [114][1200/1281] lr: 3.399e-03, eta: 5:12:07, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0832, loss: 0.0832 2023-12-13 01:18:57,742 - pyskl - INFO - Saving checkpoint at 114 epochs 2023-12-13 01:20:04,277 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 01:20:04,333 - pyskl - INFO - top1_acc 0.9286 top5_acc 0.9951 2023-12-13 01:20:04,333 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 01:20:04,340 - pyskl - INFO - mean_acc 0.9076 2023-12-13 01:20:04,343 - pyskl - INFO - Epoch(val) [114][533] top1_acc: 0.9286, top5_acc: 0.9951, mean_class_accuracy: 0.9076 2023-12-13 01:21:05,013 - pyskl - INFO - Epoch [115][100/1281] lr: 3.374e-03, eta: 5:10:50, time: 0.607, data_time: 0.185, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0830, loss: 0.0830 2023-12-13 01:21:29,846 - pyskl - INFO - Epoch [115][200/1281] lr: 3.360e-03, eta: 5:10:04, time: 0.248, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0643, loss: 0.0643 2023-12-13 01:22:12,689 - pyskl - INFO - Epoch [115][300/1281] lr: 3.346e-03, eta: 5:09:25, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0622, loss: 0.0622 2023-12-13 01:22:55,737 - pyskl - INFO - Epoch [115][400/1281] lr: 3.332e-03, eta: 5:08:45, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0798, loss: 0.0798 2023-12-13 01:23:38,734 - pyskl - INFO - Epoch [115][500/1281] lr: 3.318e-03, eta: 5:08:05, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0623, loss: 0.0623 2023-12-13 01:24:21,805 - pyskl - INFO - Epoch [115][600/1281] lr: 3.305e-03, eta: 5:07:25, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0837, loss: 0.0837 2023-12-13 01:25:04,806 - pyskl - INFO - Epoch [115][700/1281] lr: 3.291e-03, eta: 5:06:46, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0824, loss: 0.0824 2023-12-13 01:25:47,709 - pyskl - INFO - Epoch [115][800/1281] lr: 3.277e-03, eta: 5:06:06, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0815, loss: 0.0815 2023-12-13 01:26:30,707 - pyskl - INFO - Epoch [115][900/1281] lr: 3.263e-03, eta: 5:05:26, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0809, loss: 0.0809 2023-12-13 01:27:13,673 - pyskl - INFO - Epoch [115][1000/1281] lr: 3.249e-03, eta: 5:04:46, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1010, loss: 0.1010 2023-12-13 01:27:56,582 - pyskl - INFO - Epoch [115][1100/1281] lr: 3.236e-03, eta: 5:04:06, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1103, loss: 0.1103 2023-12-13 01:28:38,623 - pyskl - INFO - Epoch [115][1200/1281] lr: 3.222e-03, eta: 5:03:26, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0848, loss: 0.0848 2023-12-13 01:29:13,170 - pyskl - INFO - Saving checkpoint at 115 epochs 2023-12-13 01:30:20,386 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 01:30:20,449 - pyskl - INFO - top1_acc 0.9322 top5_acc 0.9957 2023-12-13 01:30:20,450 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 01:30:20,459 - pyskl - INFO - mean_acc 0.9062 2023-12-13 01:30:20,465 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_112.pth was removed 2023-12-13 01:30:20,665 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. 2023-12-13 01:30:20,665 - pyskl - INFO - Best top1_acc is 0.9322 at 115 epoch. 2023-12-13 01:30:20,668 - pyskl - INFO - Epoch(val) [115][533] top1_acc: 0.9322, top5_acc: 0.9957, mean_class_accuracy: 0.9062 2023-12-13 01:31:21,069 - pyskl - INFO - Epoch [116][100/1281] lr: 3.197e-03, eta: 5:02:09, time: 0.604, data_time: 0.190, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0938, loss: 0.0938 2023-12-13 01:31:46,047 - pyskl - INFO - Epoch [116][200/1281] lr: 3.184e-03, eta: 5:01:24, time: 0.250, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0608, loss: 0.0608 2023-12-13 01:32:28,549 - pyskl - INFO - Epoch [116][300/1281] lr: 3.170e-03, eta: 5:00:44, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0729, loss: 0.0729 2023-12-13 01:33:10,594 - pyskl - INFO - Epoch [116][400/1281] lr: 3.156e-03, eta: 5:00:04, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0790, loss: 0.0790 2023-12-13 01:33:52,557 - pyskl - INFO - Epoch [116][500/1281] lr: 3.143e-03, eta: 4:59:24, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0754, loss: 0.0754 2023-12-13 01:34:34,634 - pyskl - INFO - Epoch [116][600/1281] lr: 3.129e-03, eta: 4:58:44, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0884, loss: 0.0884 2023-12-13 01:35:16,584 - pyskl - INFO - Epoch [116][700/1281] lr: 3.116e-03, eta: 4:58:04, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1038, loss: 0.1038 2023-12-13 01:35:58,495 - pyskl - INFO - Epoch [116][800/1281] lr: 3.102e-03, eta: 4:57:23, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0895, loss: 0.0895 2023-12-13 01:36:40,437 - pyskl - INFO - Epoch [116][900/1281] lr: 3.089e-03, eta: 4:56:43, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0653, loss: 0.0653 2023-12-13 01:37:22,352 - pyskl - INFO - Epoch [116][1000/1281] lr: 3.075e-03, eta: 4:56:03, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0643, loss: 0.0643 2023-12-13 01:38:04,295 - pyskl - INFO - Epoch [116][1100/1281] lr: 3.062e-03, eta: 4:55:23, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0750, loss: 0.0750 2023-12-13 01:38:46,247 - pyskl - INFO - Epoch [116][1200/1281] lr: 3.049e-03, eta: 4:54:43, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0800, loss: 0.0800 2023-12-13 01:39:20,790 - pyskl - INFO - Saving checkpoint at 116 epochs 2023-12-13 01:40:28,032 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 01:40:28,087 - pyskl - INFO - top1_acc 0.9385 top5_acc 0.9967 2023-12-13 01:40:28,087 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 01:40:28,094 - pyskl - INFO - mean_acc 0.9182 2023-12-13 01:40:28,098 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_115.pth was removed 2023-12-13 01:40:28,289 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. 2023-12-13 01:40:28,289 - pyskl - INFO - Best top1_acc is 0.9385 at 116 epoch. 2023-12-13 01:40:28,294 - pyskl - INFO - Epoch(val) [116][533] top1_acc: 0.9385, top5_acc: 0.9967, mean_class_accuracy: 0.9182 2023-12-13 01:41:29,194 - pyskl - INFO - Epoch [117][100/1281] lr: 3.024e-03, eta: 4:53:26, time: 0.609, data_time: 0.184, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0608, loss: 0.0608 2023-12-13 01:41:53,199 - pyskl - INFO - Epoch [117][200/1281] lr: 3.011e-03, eta: 4:52:41, time: 0.240, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0512, loss: 0.0512 2023-12-13 01:42:36,144 - pyskl - INFO - Epoch [117][300/1281] lr: 2.998e-03, eta: 4:52:01, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0656, loss: 0.0656 2023-12-13 01:43:19,239 - pyskl - INFO - Epoch [117][400/1281] lr: 2.984e-03, eta: 4:51:21, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0667, loss: 0.0667 2023-12-13 01:44:02,219 - pyskl - INFO - Epoch [117][500/1281] lr: 2.971e-03, eta: 4:50:41, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0681, loss: 0.0681 2023-12-13 01:44:45,411 - pyskl - INFO - Epoch [117][600/1281] lr: 2.958e-03, eta: 4:50:02, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0942, loss: 0.0942 2023-12-13 01:45:28,479 - pyskl - INFO - Epoch [117][700/1281] lr: 2.945e-03, eta: 4:49:22, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0844, loss: 0.0844 2023-12-13 01:46:11,480 - pyskl - INFO - Epoch [117][800/1281] lr: 2.932e-03, eta: 4:48:42, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0908, loss: 0.0908 2023-12-13 01:46:54,474 - pyskl - INFO - Epoch [117][900/1281] lr: 2.919e-03, eta: 4:48:02, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0627, loss: 0.0627 2023-12-13 01:47:37,091 - pyskl - INFO - Epoch [117][1000/1281] lr: 2.905e-03, eta: 4:47:22, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0704, loss: 0.0704 2023-12-13 01:48:18,958 - pyskl - INFO - Epoch [117][1100/1281] lr: 2.892e-03, eta: 4:46:42, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0639, loss: 0.0639 2023-12-13 01:49:01,250 - pyskl - INFO - Epoch [117][1200/1281] lr: 2.879e-03, eta: 4:46:02, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0755, loss: 0.0755 2023-12-13 01:49:36,641 - pyskl - INFO - Saving checkpoint at 117 epochs 2023-12-13 01:50:44,536 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 01:50:44,597 - pyskl - INFO - top1_acc 0.9374 top5_acc 0.9958 2023-12-13 01:50:44,598 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 01:50:44,606 - pyskl - INFO - mean_acc 0.9148 2023-12-13 01:50:44,610 - pyskl - INFO - Epoch(val) [117][533] top1_acc: 0.9374, top5_acc: 0.9958, mean_class_accuracy: 0.9148 2023-12-13 01:51:45,818 - pyskl - INFO - Epoch [118][100/1281] lr: 2.856e-03, eta: 4:44:45, time: 0.612, data_time: 0.186, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0625, loss: 0.0625 2023-12-13 01:52:09,847 - pyskl - INFO - Epoch [118][200/1281] lr: 2.843e-03, eta: 4:44:00, time: 0.240, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0759, loss: 0.0759 2023-12-13 01:52:52,772 - pyskl - INFO - Epoch [118][300/1281] lr: 2.830e-03, eta: 4:43:20, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0833, loss: 0.0833 2023-12-13 01:53:35,753 - pyskl - INFO - Epoch [118][400/1281] lr: 2.817e-03, eta: 4:42:41, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0678, loss: 0.0678 2023-12-13 01:54:18,780 - pyskl - INFO - Epoch [118][500/1281] lr: 2.804e-03, eta: 4:42:01, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.1072, loss: 0.1072 2023-12-13 01:55:00,909 - pyskl - INFO - Epoch [118][600/1281] lr: 2.791e-03, eta: 4:41:21, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0661, loss: 0.0661 2023-12-13 01:55:42,877 - pyskl - INFO - Epoch [118][700/1281] lr: 2.778e-03, eta: 4:40:41, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0888, loss: 0.0888 2023-12-13 01:56:24,735 - pyskl - INFO - Epoch [118][800/1281] lr: 2.765e-03, eta: 4:40:01, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0804, loss: 0.0804 2023-12-13 01:57:06,649 - pyskl - INFO - Epoch [118][900/1281] lr: 2.753e-03, eta: 4:39:20, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0744, loss: 0.0744 2023-12-13 01:57:48,542 - pyskl - INFO - Epoch [118][1000/1281] lr: 2.740e-03, eta: 4:38:40, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0769, loss: 0.0769 2023-12-13 01:58:30,501 - pyskl - INFO - Epoch [118][1100/1281] lr: 2.727e-03, eta: 4:38:00, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0894, loss: 0.0894 2023-12-13 01:59:12,444 - pyskl - INFO - Epoch [118][1200/1281] lr: 2.714e-03, eta: 4:37:20, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0795, loss: 0.0795 2023-12-13 01:59:47,078 - pyskl - INFO - Saving checkpoint at 118 epochs 2023-12-13 02:00:55,190 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 02:00:55,265 - pyskl - INFO - top1_acc 0.9316 top5_acc 0.9958 2023-12-13 02:00:55,265 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 02:00:55,275 - pyskl - INFO - mean_acc 0.9061 2023-12-13 02:00:55,278 - pyskl - INFO - Epoch(val) [118][533] top1_acc: 0.9316, top5_acc: 0.9958, mean_class_accuracy: 0.9061 2023-12-13 02:01:57,495 - pyskl - INFO - Epoch [119][100/1281] lr: 2.691e-03, eta: 4:36:04, time: 0.622, data_time: 0.183, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0731, loss: 0.0731 2023-12-13 02:02:19,893 - pyskl - INFO - Epoch [119][200/1281] lr: 2.679e-03, eta: 4:35:18, time: 0.224, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0741, loss: 0.0741 2023-12-13 02:03:02,885 - pyskl - INFO - Epoch [119][300/1281] lr: 2.666e-03, eta: 4:34:38, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0696, loss: 0.0696 2023-12-13 02:03:45,932 - pyskl - INFO - Epoch [119][400/1281] lr: 2.653e-03, eta: 4:33:59, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0866, loss: 0.0866 2023-12-13 02:04:28,950 - pyskl - INFO - Epoch [119][500/1281] lr: 2.641e-03, eta: 4:33:19, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0829, loss: 0.0829 2023-12-13 02:05:12,069 - pyskl - INFO - Epoch [119][600/1281] lr: 2.628e-03, eta: 4:32:39, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0745, loss: 0.0745 2023-12-13 02:05:54,829 - pyskl - INFO - Epoch [119][700/1281] lr: 2.616e-03, eta: 4:31:59, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0802, loss: 0.0802 2023-12-13 02:06:36,807 - pyskl - INFO - Epoch [119][800/1281] lr: 2.603e-03, eta: 4:31:19, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0626, loss: 0.0626 2023-12-13 02:07:18,656 - pyskl - INFO - Epoch [119][900/1281] lr: 2.591e-03, eta: 4:30:39, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0752, loss: 0.0752 2023-12-13 02:08:00,578 - pyskl - INFO - Epoch [119][1000/1281] lr: 2.578e-03, eta: 4:29:59, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0672, loss: 0.0672 2023-12-13 02:08:42,650 - pyskl - INFO - Epoch [119][1100/1281] lr: 2.566e-03, eta: 4:29:19, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0610, loss: 0.0610 2023-12-13 02:09:24,546 - pyskl - INFO - Epoch [119][1200/1281] lr: 2.554e-03, eta: 4:28:38, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0671, loss: 0.0671 2023-12-13 02:09:59,093 - pyskl - INFO - Saving checkpoint at 119 epochs 2023-12-13 02:11:08,841 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 02:11:08,902 - pyskl - INFO - top1_acc 0.9396 top5_acc 0.9964 2023-12-13 02:11:08,903 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 02:11:08,911 - pyskl - INFO - mean_acc 0.9142 2023-12-13 02:11:08,916 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_116.pth was removed 2023-12-13 02:11:09,163 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. 2023-12-13 02:11:09,163 - pyskl - INFO - Best top1_acc is 0.9396 at 119 epoch. 2023-12-13 02:11:09,168 - pyskl - INFO - Epoch(val) [119][533] top1_acc: 0.9396, top5_acc: 0.9964, mean_class_accuracy: 0.9142 2023-12-13 02:12:11,835 - pyskl - INFO - Epoch [120][100/1281] lr: 2.531e-03, eta: 4:27:22, time: 0.627, data_time: 0.183, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0560, loss: 0.0560 2023-12-13 02:12:34,313 - pyskl - INFO - Epoch [120][200/1281] lr: 2.519e-03, eta: 4:26:37, time: 0.225, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0504, loss: 0.0504 2023-12-13 02:13:15,995 - pyskl - INFO - Epoch [120][300/1281] lr: 2.507e-03, eta: 4:25:57, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0556, loss: 0.0556 2023-12-13 02:13:57,912 - pyskl - INFO - Epoch [120][400/1281] lr: 2.494e-03, eta: 4:25:17, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0612, loss: 0.0612 2023-12-13 02:14:39,756 - pyskl - INFO - Epoch [120][500/1281] lr: 2.482e-03, eta: 4:24:37, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0571, loss: 0.0571 2023-12-13 02:15:21,672 - pyskl - INFO - Epoch [120][600/1281] lr: 2.470e-03, eta: 4:23:57, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0620, loss: 0.0620 2023-12-13 02:16:03,646 - pyskl - INFO - Epoch [120][700/1281] lr: 2.458e-03, eta: 4:23:17, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0502, loss: 0.0502 2023-12-13 02:16:45,520 - pyskl - INFO - Epoch [120][800/1281] lr: 2.446e-03, eta: 4:22:36, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0588, loss: 0.0588 2023-12-13 02:17:27,795 - pyskl - INFO - Epoch [120][900/1281] lr: 2.433e-03, eta: 4:21:56, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0705, loss: 0.0705 2023-12-13 02:18:10,858 - pyskl - INFO - Epoch [120][1000/1281] lr: 2.421e-03, eta: 4:21:17, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0590, loss: 0.0590 2023-12-13 02:18:53,821 - pyskl - INFO - Epoch [120][1100/1281] lr: 2.409e-03, eta: 4:20:37, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0536, loss: 0.0536 2023-12-13 02:19:36,765 - pyskl - INFO - Epoch [120][1200/1281] lr: 2.397e-03, eta: 4:19:57, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0557, loss: 0.0557 2023-12-13 02:20:12,053 - pyskl - INFO - Saving checkpoint at 120 epochs 2023-12-13 02:21:23,471 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 02:21:23,529 - pyskl - INFO - top1_acc 0.9378 top5_acc 0.9961 2023-12-13 02:21:23,530 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 02:21:23,537 - pyskl - INFO - mean_acc 0.9110 2023-12-13 02:21:23,539 - pyskl - INFO - Epoch(val) [120][533] top1_acc: 0.9378, top5_acc: 0.9961, mean_class_accuracy: 0.9110 2023-12-13 02:22:26,135 - pyskl - INFO - Epoch [121][100/1281] lr: 2.375e-03, eta: 4:18:41, time: 0.626, data_time: 0.183, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0697, loss: 0.0697 2023-12-13 02:22:49,603 - pyskl - INFO - Epoch [121][200/1281] lr: 2.363e-03, eta: 4:17:56, time: 0.235, data_time: 0.001, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0613, loss: 0.0613 2023-12-13 02:23:31,631 - pyskl - INFO - Epoch [121][300/1281] lr: 2.351e-03, eta: 4:17:16, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0597, loss: 0.0597 2023-12-13 02:24:14,702 - pyskl - INFO - Epoch [121][400/1281] lr: 2.340e-03, eta: 4:16:36, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0519, loss: 0.0519 2023-12-13 02:24:56,624 - pyskl - INFO - Epoch [121][500/1281] lr: 2.328e-03, eta: 4:15:56, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0720, loss: 0.0720 2023-12-13 02:25:38,846 - pyskl - INFO - Epoch [121][600/1281] lr: 2.316e-03, eta: 4:15:16, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0737, loss: 0.0737 2023-12-13 02:26:20,759 - pyskl - INFO - Epoch [121][700/1281] lr: 2.304e-03, eta: 4:14:36, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0721, loss: 0.0721 2023-12-13 02:27:02,605 - pyskl - INFO - Epoch [121][800/1281] lr: 2.292e-03, eta: 4:13:56, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0691, loss: 0.0691 2023-12-13 02:27:44,534 - pyskl - INFO - Epoch [121][900/1281] lr: 2.280e-03, eta: 4:13:15, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1013, loss: 0.1013 2023-12-13 02:28:26,421 - pyskl - INFO - Epoch [121][1000/1281] lr: 2.269e-03, eta: 4:12:35, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0722, loss: 0.0722 2023-12-13 02:29:08,462 - pyskl - INFO - Epoch [121][1100/1281] lr: 2.257e-03, eta: 4:11:55, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0865, loss: 0.0865 2023-12-13 02:29:50,315 - pyskl - INFO - Epoch [121][1200/1281] lr: 2.245e-03, eta: 4:11:15, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0736, loss: 0.0736 2023-12-13 02:30:24,896 - pyskl - INFO - Saving checkpoint at 121 epochs 2023-12-13 02:31:37,073 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 02:31:37,129 - pyskl - INFO - top1_acc 0.9404 top5_acc 0.9960 2023-12-13 02:31:37,129 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 02:31:37,138 - pyskl - INFO - mean_acc 0.9147 2023-12-13 02:31:37,145 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_119.pth was removed 2023-12-13 02:31:37,331 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. 2023-12-13 02:31:37,331 - pyskl - INFO - Best top1_acc is 0.9404 at 121 epoch. 2023-12-13 02:31:37,334 - pyskl - INFO - Epoch(val) [121][533] top1_acc: 0.9404, top5_acc: 0.9960, mean_class_accuracy: 0.9147 2023-12-13 02:32:40,343 - pyskl - INFO - Epoch [122][100/1281] lr: 2.224e-03, eta: 4:09:59, time: 0.630, data_time: 0.186, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0625, loss: 0.0625 2023-12-13 02:33:03,360 - pyskl - INFO - Epoch [122][200/1281] lr: 2.212e-03, eta: 4:09:15, time: 0.230, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0553, loss: 0.0553 2023-12-13 02:33:44,731 - pyskl - INFO - Epoch [122][300/1281] lr: 2.201e-03, eta: 4:08:34, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0515, loss: 0.0515 2023-12-13 02:34:26,627 - pyskl - INFO - Epoch [122][400/1281] lr: 2.189e-03, eta: 4:07:54, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0491, loss: 0.0491 2023-12-13 02:35:08,483 - pyskl - INFO - Epoch [122][500/1281] lr: 2.178e-03, eta: 4:07:14, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0508, loss: 0.0508 2023-12-13 02:35:50,407 - pyskl - INFO - Epoch [122][600/1281] lr: 2.166e-03, eta: 4:06:34, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0687, loss: 0.0687 2023-12-13 02:36:32,457 - pyskl - INFO - Epoch [122][700/1281] lr: 2.155e-03, eta: 4:05:54, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0604, loss: 0.0604 2023-12-13 02:37:14,363 - pyskl - INFO - Epoch [122][800/1281] lr: 2.143e-03, eta: 4:05:14, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0535, loss: 0.0535 2023-12-13 02:37:56,252 - pyskl - INFO - Epoch [122][900/1281] lr: 2.132e-03, eta: 4:04:34, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0578, loss: 0.0578 2023-12-13 02:38:38,272 - pyskl - INFO - Epoch [122][1000/1281] lr: 2.120e-03, eta: 4:03:53, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0659, loss: 0.0659 2023-12-13 02:39:20,183 - pyskl - INFO - Epoch [122][1100/1281] lr: 2.109e-03, eta: 4:03:13, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0721, loss: 0.0721 2023-12-13 02:40:02,207 - pyskl - INFO - Epoch [122][1200/1281] lr: 2.098e-03, eta: 4:02:33, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0638, loss: 0.0638 2023-12-13 02:40:36,721 - pyskl - INFO - Saving checkpoint at 122 epochs 2023-12-13 02:41:48,528 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 02:41:48,586 - pyskl - INFO - top1_acc 0.9393 top5_acc 0.9959 2023-12-13 02:41:48,586 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 02:41:48,594 - pyskl - INFO - mean_acc 0.9208 2023-12-13 02:41:48,597 - pyskl - INFO - Epoch(val) [122][533] top1_acc: 0.9393, top5_acc: 0.9959, mean_class_accuracy: 0.9208 2023-12-13 02:42:51,739 - pyskl - INFO - Epoch [123][100/1281] lr: 2.077e-03, eta: 4:01:18, time: 0.631, data_time: 0.188, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0731, loss: 0.0731 2023-12-13 02:43:15,386 - pyskl - INFO - Epoch [123][200/1281] lr: 2.066e-03, eta: 4:00:33, time: 0.236, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0551, loss: 0.0551 2023-12-13 02:43:56,473 - pyskl - INFO - Epoch [123][300/1281] lr: 2.055e-03, eta: 3:59:53, time: 0.411, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0508, loss: 0.0508 2023-12-13 02:44:38,418 - pyskl - INFO - Epoch [123][400/1281] lr: 2.044e-03, eta: 3:59:13, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0537, loss: 0.0537 2023-12-13 02:45:20,389 - pyskl - INFO - Epoch [123][500/1281] lr: 2.032e-03, eta: 3:58:33, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0532, loss: 0.0532 2023-12-13 02:46:02,387 - pyskl - INFO - Epoch [123][600/1281] lr: 2.021e-03, eta: 3:57:53, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0471, loss: 0.0471 2023-12-13 02:46:44,398 - pyskl - INFO - Epoch [123][700/1281] lr: 2.010e-03, eta: 3:57:12, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0529, loss: 0.0529 2023-12-13 02:47:26,251 - pyskl - INFO - Epoch [123][800/1281] lr: 1.999e-03, eta: 3:56:32, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0534, loss: 0.0534 2023-12-13 02:48:08,077 - pyskl - INFO - Epoch [123][900/1281] lr: 1.988e-03, eta: 3:55:52, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0493, loss: 0.0493 2023-12-13 02:48:49,973 - pyskl - INFO - Epoch [123][1000/1281] lr: 1.977e-03, eta: 3:55:12, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0656, loss: 0.0656 2023-12-13 02:49:31,910 - pyskl - INFO - Epoch [123][1100/1281] lr: 1.966e-03, eta: 3:54:32, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0539, loss: 0.0539 2023-12-13 02:50:13,995 - pyskl - INFO - Epoch [123][1200/1281] lr: 1.955e-03, eta: 3:53:52, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0523, loss: 0.0523 2023-12-13 02:50:48,560 - pyskl - INFO - Saving checkpoint at 123 epochs 2023-12-13 02:52:01,049 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 02:52:01,118 - pyskl - INFO - top1_acc 0.9363 top5_acc 0.9969 2023-12-13 02:52:01,119 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 02:52:01,128 - pyskl - INFO - mean_acc 0.9162 2023-12-13 02:52:01,131 - pyskl - INFO - Epoch(val) [123][533] top1_acc: 0.9363, top5_acc: 0.9969, mean_class_accuracy: 0.9162 2023-12-13 02:53:03,518 - pyskl - INFO - Epoch [124][100/1281] lr: 1.935e-03, eta: 3:52:36, time: 0.624, data_time: 0.182, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0560, loss: 0.0560 2023-12-13 02:53:28,370 - pyskl - INFO - Epoch [124][200/1281] lr: 1.924e-03, eta: 3:51:52, time: 0.249, data_time: 0.001, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0550, loss: 0.0550 2023-12-13 02:54:09,326 - pyskl - INFO - Epoch [124][300/1281] lr: 1.913e-03, eta: 3:51:12, time: 0.410, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0533, loss: 0.0533 2023-12-13 02:54:52,309 - pyskl - INFO - Epoch [124][400/1281] lr: 1.902e-03, eta: 3:50:32, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0685, loss: 0.0685 2023-12-13 02:55:35,324 - pyskl - INFO - Epoch [124][500/1281] lr: 1.892e-03, eta: 3:49:52, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0468, loss: 0.0468 2023-12-13 02:56:17,147 - pyskl - INFO - Epoch [124][600/1281] lr: 1.881e-03, eta: 3:49:12, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0510, loss: 0.0510 2023-12-13 02:56:59,224 - pyskl - INFO - Epoch [124][700/1281] lr: 1.870e-03, eta: 3:48:32, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0540, loss: 0.0540 2023-12-13 02:57:41,254 - pyskl - INFO - Epoch [124][800/1281] lr: 1.859e-03, eta: 3:47:52, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0495, loss: 0.0495 2023-12-13 02:58:23,033 - pyskl - INFO - Epoch [124][900/1281] lr: 1.849e-03, eta: 3:47:11, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0446, loss: 0.0446 2023-12-13 02:59:04,982 - pyskl - INFO - Epoch [124][1000/1281] lr: 1.838e-03, eta: 3:46:31, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0476, loss: 0.0476 2023-12-13 02:59:46,876 - pyskl - INFO - Epoch [124][1100/1281] lr: 1.827e-03, eta: 3:45:51, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0471, loss: 0.0471 2023-12-13 03:00:28,712 - pyskl - INFO - Epoch [124][1200/1281] lr: 1.817e-03, eta: 3:45:11, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 2023-12-13 03:01:03,214 - pyskl - INFO - Saving checkpoint at 124 epochs 2023-12-13 03:02:16,558 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 03:02:16,613 - pyskl - INFO - top1_acc 0.9416 top5_acc 0.9968 2023-12-13 03:02:16,613 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 03:02:16,621 - pyskl - INFO - mean_acc 0.9159 2023-12-13 03:02:16,625 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_121.pth was removed 2023-12-13 03:02:16,823 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. 2023-12-13 03:02:16,823 - pyskl - INFO - Best top1_acc is 0.9416 at 124 epoch. 2023-12-13 03:02:16,826 - pyskl - INFO - Epoch(val) [124][533] top1_acc: 0.9416, top5_acc: 0.9968, mean_class_accuracy: 0.9159 2023-12-13 03:03:19,208 - pyskl - INFO - Epoch [125][100/1281] lr: 1.797e-03, eta: 3:43:55, time: 0.624, data_time: 0.181, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0465, loss: 0.0465 2023-12-13 03:03:44,503 - pyskl - INFO - Epoch [125][200/1281] lr: 1.787e-03, eta: 3:43:12, time: 0.253, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0500, loss: 0.0500 2023-12-13 03:04:25,195 - pyskl - INFO - Epoch [125][300/1281] lr: 1.776e-03, eta: 3:42:31, time: 0.407, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0476, loss: 0.0476 2023-12-13 03:05:06,981 - pyskl - INFO - Epoch [125][400/1281] lr: 1.766e-03, eta: 3:41:51, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0526, loss: 0.0526 2023-12-13 03:05:48,903 - pyskl - INFO - Epoch [125][500/1281] lr: 1.755e-03, eta: 3:41:11, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0481, loss: 0.0481 2023-12-13 03:06:31,071 - pyskl - INFO - Epoch [125][600/1281] lr: 1.745e-03, eta: 3:40:31, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0493, loss: 0.0493 2023-12-13 03:07:13,594 - pyskl - INFO - Epoch [125][700/1281] lr: 1.735e-03, eta: 3:39:51, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0443, loss: 0.0443 2023-12-13 03:07:56,496 - pyskl - INFO - Epoch [125][800/1281] lr: 1.724e-03, eta: 3:39:11, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0496, loss: 0.0496 2023-12-13 03:08:39,457 - pyskl - INFO - Epoch [125][900/1281] lr: 1.714e-03, eta: 3:38:31, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0556, loss: 0.0556 2023-12-13 03:09:22,382 - pyskl - INFO - Epoch [125][1000/1281] lr: 1.704e-03, eta: 3:37:51, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0465, loss: 0.0465 2023-12-13 03:10:05,278 - pyskl - INFO - Epoch [125][1100/1281] lr: 1.693e-03, eta: 3:37:11, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0488, loss: 0.0488 2023-12-13 03:10:47,104 - pyskl - INFO - Epoch [125][1200/1281] lr: 1.683e-03, eta: 3:36:31, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0461, loss: 0.0461 2023-12-13 03:11:21,689 - pyskl - INFO - Saving checkpoint at 125 epochs 2023-12-13 03:12:34,159 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 03:12:34,219 - pyskl - INFO - top1_acc 0.9428 top5_acc 0.9969 2023-12-13 03:12:34,219 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 03:12:34,228 - pyskl - INFO - mean_acc 0.9173 2023-12-13 03:12:34,235 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_124.pth was removed 2023-12-13 03:12:34,447 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. 2023-12-13 03:12:34,448 - pyskl - INFO - Best top1_acc is 0.9428 at 125 epoch. 2023-12-13 03:12:34,451 - pyskl - INFO - Epoch(val) [125][533] top1_acc: 0.9428, top5_acc: 0.9969, mean_class_accuracy: 0.9173 2023-12-13 03:13:36,823 - pyskl - INFO - Epoch [126][100/1281] lr: 1.665e-03, eta: 3:35:15, time: 0.624, data_time: 0.183, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0450, loss: 0.0450 2023-12-13 03:14:01,221 - pyskl - INFO - Epoch [126][200/1281] lr: 1.654e-03, eta: 3:34:32, time: 0.244, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0443, loss: 0.0443 2023-12-13 03:14:43,125 - pyskl - INFO - Epoch [126][300/1281] lr: 1.644e-03, eta: 3:33:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0479, loss: 0.0479 2023-12-13 03:15:26,026 - pyskl - INFO - Epoch [126][400/1281] lr: 1.634e-03, eta: 3:33:12, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0523, loss: 0.0523 2023-12-13 03:16:08,964 - pyskl - INFO - Epoch [126][500/1281] lr: 1.624e-03, eta: 3:32:32, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 2023-12-13 03:16:51,112 - pyskl - INFO - Epoch [126][600/1281] lr: 1.614e-03, eta: 3:31:52, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0473, loss: 0.0473 2023-12-13 03:17:33,086 - pyskl - INFO - Epoch [126][700/1281] lr: 1.604e-03, eta: 3:31:11, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0494, loss: 0.0494 2023-12-13 03:18:15,052 - pyskl - INFO - Epoch [126][800/1281] lr: 1.594e-03, eta: 3:30:31, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0508, loss: 0.0508 2023-12-13 03:18:56,853 - pyskl - INFO - Epoch [126][900/1281] lr: 1.584e-03, eta: 3:29:51, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0427, loss: 0.0427 2023-12-13 03:19:38,810 - pyskl - INFO - Epoch [126][1000/1281] lr: 1.574e-03, eta: 3:29:11, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0464, loss: 0.0464 2023-12-13 03:20:20,648 - pyskl - INFO - Epoch [126][1100/1281] lr: 1.564e-03, eta: 3:28:31, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0507, loss: 0.0507 2023-12-13 03:21:02,525 - pyskl - INFO - Epoch [126][1200/1281] lr: 1.554e-03, eta: 3:27:50, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0445, loss: 0.0445 2023-12-13 03:21:36,956 - pyskl - INFO - Saving checkpoint at 126 epochs 2023-12-13 03:22:49,059 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 03:22:49,118 - pyskl - INFO - top1_acc 0.9393 top5_acc 0.9961 2023-12-13 03:22:49,119 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 03:22:49,125 - pyskl - INFO - mean_acc 0.9142 2023-12-13 03:22:49,127 - pyskl - INFO - Epoch(val) [126][533] top1_acc: 0.9393, top5_acc: 0.9961, mean_class_accuracy: 0.9142 2023-12-13 03:23:51,853 - pyskl - INFO - Epoch [127][100/1281] lr: 1.536e-03, eta: 3:26:35, time: 0.627, data_time: 0.183, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0442, loss: 0.0442 2023-12-13 03:24:16,216 - pyskl - INFO - Epoch [127][200/1281] lr: 1.527e-03, eta: 3:25:52, time: 0.244, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 2023-12-13 03:24:55,968 - pyskl - INFO - Epoch [127][300/1281] lr: 1.517e-03, eta: 3:25:11, time: 0.398, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0527, loss: 0.0527 2023-12-13 03:25:38,863 - pyskl - INFO - Epoch [127][400/1281] lr: 1.507e-03, eta: 3:24:31, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0527, loss: 0.0527 2023-12-13 03:26:21,918 - pyskl - INFO - Epoch [127][500/1281] lr: 1.497e-03, eta: 3:23:51, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0484, loss: 0.0484 2023-12-13 03:27:04,934 - pyskl - INFO - Epoch [127][600/1281] lr: 1.488e-03, eta: 3:23:11, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0556, loss: 0.0556 2023-12-13 03:27:47,963 - pyskl - INFO - Epoch [127][700/1281] lr: 1.478e-03, eta: 3:22:31, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0476, loss: 0.0476 2023-12-13 03:28:30,829 - pyskl - INFO - Epoch [127][800/1281] lr: 1.468e-03, eta: 3:21:51, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0472, loss: 0.0472 2023-12-13 03:29:13,777 - pyskl - INFO - Epoch [127][900/1281] lr: 1.459e-03, eta: 3:21:11, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0477, loss: 0.0477 2023-12-13 03:29:55,701 - pyskl - INFO - Epoch [127][1000/1281] lr: 1.449e-03, eta: 3:20:31, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 2023-12-13 03:30:37,704 - pyskl - INFO - Epoch [127][1100/1281] lr: 1.440e-03, eta: 3:19:51, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0458, loss: 0.0458 2023-12-13 03:31:19,607 - pyskl - INFO - Epoch [127][1200/1281] lr: 1.430e-03, eta: 3:19:11, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0530, loss: 0.0530 2023-12-13 03:31:54,101 - pyskl - INFO - Saving checkpoint at 127 epochs 2023-12-13 03:33:07,420 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 03:33:07,477 - pyskl - INFO - top1_acc 0.9416 top5_acc 0.9969 2023-12-13 03:33:07,478 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 03:33:07,485 - pyskl - INFO - mean_acc 0.9157 2023-12-13 03:33:07,488 - pyskl - INFO - Epoch(val) [127][533] top1_acc: 0.9416, top5_acc: 0.9969, mean_class_accuracy: 0.9157 2023-12-13 03:34:09,979 - pyskl - INFO - Epoch [128][100/1281] lr: 1.413e-03, eta: 3:17:56, time: 0.625, data_time: 0.181, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0457, loss: 0.0457 2023-12-13 03:34:36,089 - pyskl - INFO - Epoch [128][200/1281] lr: 1.404e-03, eta: 3:17:13, time: 0.261, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0471, loss: 0.0471 2023-12-13 03:35:14,790 - pyskl - INFO - Epoch [128][300/1281] lr: 1.394e-03, eta: 3:16:32, time: 0.387, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0442, loss: 0.0442 2023-12-13 03:35:56,800 - pyskl - INFO - Epoch [128][400/1281] lr: 1.385e-03, eta: 3:15:52, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0421, loss: 0.0421 2023-12-13 03:36:38,744 - pyskl - INFO - Epoch [128][500/1281] lr: 1.376e-03, eta: 3:15:12, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0442, loss: 0.0442 2023-12-13 03:37:21,030 - pyskl - INFO - Epoch [128][600/1281] lr: 1.366e-03, eta: 3:14:31, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0453, loss: 0.0453 2023-12-13 03:38:03,998 - pyskl - INFO - Epoch [128][700/1281] lr: 1.357e-03, eta: 3:13:51, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0419, loss: 0.0419 2023-12-13 03:38:47,010 - pyskl - INFO - Epoch [128][800/1281] lr: 1.348e-03, eta: 3:13:11, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0492, loss: 0.0492 2023-12-13 03:39:30,011 - pyskl - INFO - Epoch [128][900/1281] lr: 1.339e-03, eta: 3:12:31, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0464, loss: 0.0464 2023-12-13 03:40:12,915 - pyskl - INFO - Epoch [128][1000/1281] lr: 1.329e-03, eta: 3:11:51, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0569, loss: 0.0569 2023-12-13 03:40:55,883 - pyskl - INFO - Epoch [128][1100/1281] lr: 1.320e-03, eta: 3:11:11, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0450, loss: 0.0450 2023-12-13 03:41:38,811 - pyskl - INFO - Epoch [128][1200/1281] lr: 1.311e-03, eta: 3:10:31, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0464, loss: 0.0464 2023-12-13 03:42:14,211 - pyskl - INFO - Saving checkpoint at 128 epochs 2023-12-13 03:43:27,413 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 03:43:27,487 - pyskl - INFO - top1_acc 0.9434 top5_acc 0.9960 2023-12-13 03:43:27,487 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 03:43:27,499 - pyskl - INFO - mean_acc 0.9234 2023-12-13 03:43:27,504 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_125.pth was removed 2023-12-13 03:43:27,716 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. 2023-12-13 03:43:27,716 - pyskl - INFO - Best top1_acc is 0.9434 at 128 epoch. 2023-12-13 03:43:27,719 - pyskl - INFO - Epoch(val) [128][533] top1_acc: 0.9434, top5_acc: 0.9960, mean_class_accuracy: 0.9234 2023-12-13 03:44:29,175 - pyskl - INFO - Epoch [129][100/1281] lr: 1.295e-03, eta: 3:09:16, time: 0.615, data_time: 0.178, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 2023-12-13 03:44:56,603 - pyskl - INFO - Epoch [129][200/1281] lr: 1.286e-03, eta: 3:08:34, time: 0.274, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0411, loss: 0.0411 2023-12-13 03:45:35,124 - pyskl - INFO - Epoch [129][300/1281] lr: 1.277e-03, eta: 3:07:53, time: 0.385, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0431, loss: 0.0431 2023-12-13 03:46:18,076 - pyskl - INFO - Epoch [129][400/1281] lr: 1.268e-03, eta: 3:07:13, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0411, loss: 0.0411 2023-12-13 03:47:00,970 - pyskl - INFO - Epoch [129][500/1281] lr: 1.259e-03, eta: 3:06:33, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0455, loss: 0.0455 2023-12-13 03:47:43,081 - pyskl - INFO - Epoch [129][600/1281] lr: 1.250e-03, eta: 3:05:53, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0423, loss: 0.0423 2023-12-13 03:48:25,143 - pyskl - INFO - Epoch [129][700/1281] lr: 1.241e-03, eta: 3:05:12, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0429, loss: 0.0429 2023-12-13 03:49:07,027 - pyskl - INFO - Epoch [129][800/1281] lr: 1.232e-03, eta: 3:04:32, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0424, loss: 0.0424 2023-12-13 03:49:49,086 - pyskl - INFO - Epoch [129][900/1281] lr: 1.223e-03, eta: 3:03:52, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0469, loss: 0.0469 2023-12-13 03:50:31,021 - pyskl - INFO - Epoch [129][1000/1281] lr: 1.214e-03, eta: 3:03:12, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0474, loss: 0.0474 2023-12-13 03:51:13,032 - pyskl - INFO - Epoch [129][1100/1281] lr: 1.206e-03, eta: 3:02:32, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 2023-12-13 03:51:54,896 - pyskl - INFO - Epoch [129][1200/1281] lr: 1.197e-03, eta: 3:01:51, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0427, loss: 0.0427 2023-12-13 03:52:29,428 - pyskl - INFO - Saving checkpoint at 129 epochs 2023-12-13 03:53:42,837 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 03:53:42,896 - pyskl - INFO - top1_acc 0.9448 top5_acc 0.9966 2023-12-13 03:53:42,896 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 03:53:42,907 - pyskl - INFO - mean_acc 0.9229 2023-12-13 03:53:42,915 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_128.pth was removed 2023-12-13 03:53:43,143 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. 2023-12-13 03:53:43,143 - pyskl - INFO - Best top1_acc is 0.9448 at 129 epoch. 2023-12-13 03:53:43,147 - pyskl - INFO - Epoch(val) [129][533] top1_acc: 0.9448, top5_acc: 0.9966, mean_class_accuracy: 0.9229 2023-12-13 03:54:46,322 - pyskl - INFO - Epoch [130][100/1281] lr: 1.181e-03, eta: 3:00:37, time: 0.632, data_time: 0.189, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0421, loss: 0.0421 2023-12-13 03:55:13,348 - pyskl - INFO - Epoch [130][200/1281] lr: 1.172e-03, eta: 2:59:54, time: 0.270, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0427, loss: 0.0427 2023-12-13 03:55:51,467 - pyskl - INFO - Epoch [130][300/1281] lr: 1.164e-03, eta: 2:59:13, time: 0.381, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0415, loss: 0.0415 2023-12-13 03:56:33,434 - pyskl - INFO - Epoch [130][400/1281] lr: 1.155e-03, eta: 2:58:33, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0466, loss: 0.0466 2023-12-13 03:57:15,297 - pyskl - INFO - Epoch [130][500/1281] lr: 1.147e-03, eta: 2:57:53, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 2023-12-13 03:57:57,355 - pyskl - INFO - Epoch [130][600/1281] lr: 1.138e-03, eta: 2:57:13, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 2023-12-13 03:58:39,185 - pyskl - INFO - Epoch [130][700/1281] lr: 1.130e-03, eta: 2:56:32, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0420, loss: 0.0420 2023-12-13 03:59:21,143 - pyskl - INFO - Epoch [130][800/1281] lr: 1.121e-03, eta: 2:55:52, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0427, loss: 0.0427 2023-12-13 04:00:02,965 - pyskl - INFO - Epoch [130][900/1281] lr: 1.113e-03, eta: 2:55:12, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 2023-12-13 04:00:44,918 - pyskl - INFO - Epoch [130][1000/1281] lr: 1.104e-03, eta: 2:54:32, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0430, loss: 0.0430 2023-12-13 04:01:26,962 - pyskl - INFO - Epoch [130][1100/1281] lr: 1.096e-03, eta: 2:53:52, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0434, loss: 0.0434 2023-12-13 04:02:09,131 - pyskl - INFO - Epoch [130][1200/1281] lr: 1.088e-03, eta: 2:53:12, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 2023-12-13 04:02:44,347 - pyskl - INFO - Saving checkpoint at 130 epochs 2023-12-13 04:03:57,662 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 04:03:57,722 - pyskl - INFO - top1_acc 0.9426 top5_acc 0.9965 2023-12-13 04:03:57,722 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 04:03:57,730 - pyskl - INFO - mean_acc 0.9197 2023-12-13 04:03:57,732 - pyskl - INFO - Epoch(val) [130][533] top1_acc: 0.9426, top5_acc: 0.9965, mean_class_accuracy: 0.9197 2023-12-13 04:04:59,949 - pyskl - INFO - Epoch [131][100/1281] lr: 1.072e-03, eta: 2:51:57, time: 0.622, data_time: 0.183, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 2023-12-13 04:05:26,983 - pyskl - INFO - Epoch [131][200/1281] lr: 1.064e-03, eta: 2:51:14, time: 0.270, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0413, loss: 0.0413 2023-12-13 04:06:05,033 - pyskl - INFO - Epoch [131][300/1281] lr: 1.056e-03, eta: 2:50:33, time: 0.380, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0466, loss: 0.0466 2023-12-13 04:06:47,964 - pyskl - INFO - Epoch [131][400/1281] lr: 1.048e-03, eta: 2:49:53, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0410, loss: 0.0410 2023-12-13 04:07:30,186 - pyskl - INFO - Epoch [131][500/1281] lr: 1.040e-03, eta: 2:49:13, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0427, loss: 0.0427 2023-12-13 04:08:12,023 - pyskl - INFO - Epoch [131][600/1281] lr: 1.031e-03, eta: 2:48:33, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0444, loss: 0.0444 2023-12-13 04:08:54,076 - pyskl - INFO - Epoch [131][700/1281] lr: 1.023e-03, eta: 2:47:53, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0461, loss: 0.0461 2023-12-13 04:09:36,062 - pyskl - INFO - Epoch [131][800/1281] lr: 1.015e-03, eta: 2:47:13, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0405, loss: 0.0405 2023-12-13 04:10:18,052 - pyskl - INFO - Epoch [131][900/1281] lr: 1.007e-03, eta: 2:46:32, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0405, loss: 0.0405 2023-12-13 04:10:59,965 - pyskl - INFO - Epoch [131][1000/1281] lr: 9.992e-04, eta: 2:45:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0420, loss: 0.0420 2023-12-13 04:11:41,809 - pyskl - INFO - Epoch [131][1100/1281] lr: 9.912e-04, eta: 2:45:12, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 2023-12-13 04:12:23,849 - pyskl - INFO - Epoch [131][1200/1281] lr: 9.832e-04, eta: 2:44:32, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 04:12:58,314 - pyskl - INFO - Saving checkpoint at 131 epochs 2023-12-13 04:14:11,353 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 04:14:11,418 - pyskl - INFO - top1_acc 0.9457 top5_acc 0.9967 2023-12-13 04:14:11,418 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 04:14:11,426 - pyskl - INFO - mean_acc 0.9254 2023-12-13 04:14:11,431 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_129.pth was removed 2023-12-13 04:14:11,630 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. 2023-12-13 04:14:11,630 - pyskl - INFO - Best top1_acc is 0.9457 at 131 epoch. 2023-12-13 04:14:11,634 - pyskl - INFO - Epoch(val) [131][533] top1_acc: 0.9457, top5_acc: 0.9967, mean_class_accuracy: 0.9254 2023-12-13 04:15:14,179 - pyskl - INFO - Epoch [132][100/1281] lr: 9.689e-04, eta: 2:43:17, time: 0.625, data_time: 0.191, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0423, loss: 0.0423 2023-12-13 04:15:41,838 - pyskl - INFO - Epoch [132][200/1281] lr: 9.610e-04, eta: 2:42:35, time: 0.277, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0419, loss: 0.0419 2023-12-13 04:16:18,697 - pyskl - INFO - Epoch [132][300/1281] lr: 9.532e-04, eta: 2:41:54, time: 0.369, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0421, loss: 0.0421 2023-12-13 04:17:00,665 - pyskl - INFO - Epoch [132][400/1281] lr: 9.454e-04, eta: 2:41:14, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0403, loss: 0.0403 2023-12-13 04:17:42,663 - pyskl - INFO - Epoch [132][500/1281] lr: 9.376e-04, eta: 2:40:34, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0411, loss: 0.0411 2023-12-13 04:18:25,337 - pyskl - INFO - Epoch [132][600/1281] lr: 9.298e-04, eta: 2:39:54, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 2023-12-13 04:19:07,446 - pyskl - INFO - Epoch [132][700/1281] lr: 9.221e-04, eta: 2:39:13, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 04:19:49,389 - pyskl - INFO - Epoch [132][800/1281] lr: 9.144e-04, eta: 2:38:33, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 2023-12-13 04:20:31,226 - pyskl - INFO - Epoch [132][900/1281] lr: 9.068e-04, eta: 2:37:53, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 2023-12-13 04:21:13,098 - pyskl - INFO - Epoch [132][1000/1281] lr: 8.991e-04, eta: 2:37:13, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 2023-12-13 04:21:55,069 - pyskl - INFO - Epoch [132][1100/1281] lr: 8.915e-04, eta: 2:36:32, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-13 04:22:37,088 - pyskl - INFO - Epoch [132][1200/1281] lr: 8.840e-04, eta: 2:35:52, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 2023-12-13 04:23:11,616 - pyskl - INFO - Saving checkpoint at 132 epochs 2023-12-13 04:24:25,146 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 04:24:25,202 - pyskl - INFO - top1_acc 0.9473 top5_acc 0.9967 2023-12-13 04:24:25,202 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 04:24:25,210 - pyskl - INFO - mean_acc 0.9284 2023-12-13 04:24:25,214 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_131.pth was removed 2023-12-13 04:24:25,392 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. 2023-12-13 04:24:25,392 - pyskl - INFO - Best top1_acc is 0.9473 at 132 epoch. 2023-12-13 04:24:25,395 - pyskl - INFO - Epoch(val) [132][533] top1_acc: 0.9473, top5_acc: 0.9967, mean_class_accuracy: 0.9284 2023-12-13 04:25:27,348 - pyskl - INFO - Epoch [133][100/1281] lr: 8.704e-04, eta: 2:34:38, time: 0.619, data_time: 0.185, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0403, loss: 0.0403 2023-12-13 04:25:54,953 - pyskl - INFO - Epoch [133][200/1281] lr: 8.629e-04, eta: 2:33:55, time: 0.276, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 2023-12-13 04:26:33,014 - pyskl - INFO - Epoch [133][300/1281] lr: 8.554e-04, eta: 2:33:15, time: 0.381, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 2023-12-13 04:27:16,024 - pyskl - INFO - Epoch [133][400/1281] lr: 8.480e-04, eta: 2:32:35, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 2023-12-13 04:27:58,926 - pyskl - INFO - Epoch [133][500/1281] lr: 8.406e-04, eta: 2:31:55, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0428, loss: 0.0428 2023-12-13 04:28:41,902 - pyskl - INFO - Epoch [133][600/1281] lr: 8.333e-04, eta: 2:31:15, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 2023-12-13 04:29:24,886 - pyskl - INFO - Epoch [133][700/1281] lr: 8.260e-04, eta: 2:30:34, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-13 04:30:07,833 - pyskl - INFO - Epoch [133][800/1281] lr: 8.187e-04, eta: 2:29:54, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0445, loss: 0.0445 2023-12-13 04:30:50,846 - pyskl - INFO - Epoch [133][900/1281] lr: 8.114e-04, eta: 2:29:14, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0458, loss: 0.0458 2023-12-13 04:31:33,281 - pyskl - INFO - Epoch [133][1000/1281] lr: 8.042e-04, eta: 2:28:34, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0499, loss: 0.0499 2023-12-13 04:32:15,216 - pyskl - INFO - Epoch [133][1100/1281] lr: 7.970e-04, eta: 2:27:54, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0432, loss: 0.0432 2023-12-13 04:32:57,074 - pyskl - INFO - Epoch [133][1200/1281] lr: 7.898e-04, eta: 2:27:14, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0451, loss: 0.0451 2023-12-13 04:33:31,640 - pyskl - INFO - Saving checkpoint at 133 epochs 2023-12-13 04:34:44,850 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 04:34:44,906 - pyskl - INFO - top1_acc 0.9466 top5_acc 0.9973 2023-12-13 04:34:44,906 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 04:34:44,913 - pyskl - INFO - mean_acc 0.9260 2023-12-13 04:34:44,915 - pyskl - INFO - Epoch(val) [133][533] top1_acc: 0.9466, top5_acc: 0.9973, mean_class_accuracy: 0.9260 2023-12-13 04:35:47,921 - pyskl - INFO - Epoch [134][100/1281] lr: 7.769e-04, eta: 2:25:59, time: 0.630, data_time: 0.188, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0463, loss: 0.0463 2023-12-13 04:36:14,771 - pyskl - INFO - Epoch [134][200/1281] lr: 7.699e-04, eta: 2:25:17, time: 0.268, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0410, loss: 0.0410 2023-12-13 04:36:52,519 - pyskl - INFO - Epoch [134][300/1281] lr: 7.628e-04, eta: 2:24:36, time: 0.377, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 2023-12-13 04:37:34,482 - pyskl - INFO - Epoch [134][400/1281] lr: 7.558e-04, eta: 2:23:56, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 2023-12-13 04:38:16,935 - pyskl - INFO - Epoch [134][500/1281] lr: 7.488e-04, eta: 2:23:16, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0423, loss: 0.0423 2023-12-13 04:38:59,619 - pyskl - INFO - Epoch [134][600/1281] lr: 7.419e-04, eta: 2:22:36, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0449, loss: 0.0449 2023-12-13 04:39:41,576 - pyskl - INFO - Epoch [134][700/1281] lr: 7.349e-04, eta: 2:21:56, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 2023-12-13 04:40:23,551 - pyskl - INFO - Epoch [134][800/1281] lr: 7.281e-04, eta: 2:21:16, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0401, loss: 0.0401 2023-12-13 04:41:05,481 - pyskl - INFO - Epoch [134][900/1281] lr: 7.212e-04, eta: 2:20:35, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0406, loss: 0.0406 2023-12-13 04:41:47,292 - pyskl - INFO - Epoch [134][1000/1281] lr: 7.144e-04, eta: 2:19:55, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 2023-12-13 04:42:29,249 - pyskl - INFO - Epoch [134][1100/1281] lr: 7.076e-04, eta: 2:19:15, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 2023-12-13 04:43:11,258 - pyskl - INFO - Epoch [134][1200/1281] lr: 7.008e-04, eta: 2:18:35, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-13 04:43:45,725 - pyskl - INFO - Saving checkpoint at 134 epochs 2023-12-13 04:44:59,268 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 04:44:59,342 - pyskl - INFO - top1_acc 0.9478 top5_acc 0.9964 2023-12-13 04:44:59,342 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 04:44:59,355 - pyskl - INFO - mean_acc 0.9250 2023-12-13 04:44:59,360 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_132.pth was removed 2023-12-13 04:44:59,567 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. 2023-12-13 04:44:59,567 - pyskl - INFO - Best top1_acc is 0.9478 at 134 epoch. 2023-12-13 04:44:59,571 - pyskl - INFO - Epoch(val) [134][533] top1_acc: 0.9478, top5_acc: 0.9964, mean_class_accuracy: 0.9250 2023-12-13 04:46:02,355 - pyskl - INFO - Epoch [135][100/1281] lr: 6.887e-04, eta: 2:17:20, time: 0.628, data_time: 0.183, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 2023-12-13 04:46:28,734 - pyskl - INFO - Epoch [135][200/1281] lr: 6.820e-04, eta: 2:16:38, time: 0.264, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 2023-12-13 04:47:08,219 - pyskl - INFO - Epoch [135][300/1281] lr: 6.753e-04, eta: 2:15:58, time: 0.395, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 2023-12-13 04:47:50,899 - pyskl - INFO - Epoch [135][400/1281] lr: 6.687e-04, eta: 2:15:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0410, loss: 0.0410 2023-12-13 04:48:32,717 - pyskl - INFO - Epoch [135][500/1281] lr: 6.622e-04, eta: 2:14:37, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0406, loss: 0.0406 2023-12-13 04:49:14,755 - pyskl - INFO - Epoch [135][600/1281] lr: 6.556e-04, eta: 2:13:57, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0405, loss: 0.0405 2023-12-13 04:49:56,751 - pyskl - INFO - Epoch [135][700/1281] lr: 6.491e-04, eta: 2:13:17, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 2023-12-13 04:50:38,703 - pyskl - INFO - Epoch [135][800/1281] lr: 6.426e-04, eta: 2:12:37, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 2023-12-13 04:51:20,660 - pyskl - INFO - Epoch [135][900/1281] lr: 6.362e-04, eta: 2:11:56, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-13 04:52:02,492 - pyskl - INFO - Epoch [135][1000/1281] lr: 6.297e-04, eta: 2:11:16, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0402, loss: 0.0402 2023-12-13 04:52:44,438 - pyskl - INFO - Epoch [135][1100/1281] lr: 6.233e-04, eta: 2:10:36, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 2023-12-13 04:53:26,422 - pyskl - INFO - Epoch [135][1200/1281] lr: 6.170e-04, eta: 2:09:56, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 04:54:01,081 - pyskl - INFO - Saving checkpoint at 135 epochs 2023-12-13 04:55:13,883 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 04:55:13,956 - pyskl - INFO - top1_acc 0.9467 top5_acc 0.9965 2023-12-13 04:55:13,956 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 04:55:13,964 - pyskl - INFO - mean_acc 0.9254 2023-12-13 04:55:13,966 - pyskl - INFO - Epoch(val) [135][533] top1_acc: 0.9467, top5_acc: 0.9965, mean_class_accuracy: 0.9254 2023-12-13 04:56:16,676 - pyskl - INFO - Epoch [136][100/1281] lr: 6.056e-04, eta: 2:08:41, time: 0.627, data_time: 0.186, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0392, loss: 0.0392 2023-12-13 04:56:42,831 - pyskl - INFO - Epoch [136][200/1281] lr: 5.993e-04, eta: 2:08:00, time: 0.262, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-13 04:57:22,728 - pyskl - INFO - Epoch [136][300/1281] lr: 5.931e-04, eta: 2:07:19, time: 0.399, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 04:58:05,339 - pyskl - INFO - Epoch [136][400/1281] lr: 5.868e-04, eta: 2:06:39, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-13 04:58:48,383 - pyskl - INFO - Epoch [136][500/1281] lr: 5.807e-04, eta: 2:05:59, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 2023-12-13 04:59:31,313 - pyskl - INFO - Epoch [136][600/1281] lr: 5.745e-04, eta: 2:05:19, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 2023-12-13 05:00:14,305 - pyskl - INFO - Epoch [136][700/1281] lr: 5.684e-04, eta: 2:04:39, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 05:00:56,266 - pyskl - INFO - Epoch [136][800/1281] lr: 5.623e-04, eta: 2:03:58, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-13 05:01:38,260 - pyskl - INFO - Epoch [136][900/1281] lr: 5.563e-04, eta: 2:03:18, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 2023-12-13 05:02:20,299 - pyskl - INFO - Epoch [136][1000/1281] lr: 5.503e-04, eta: 2:02:38, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-13 05:03:02,295 - pyskl - INFO - Epoch [136][1100/1281] lr: 5.443e-04, eta: 2:01:58, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 2023-12-13 05:03:44,103 - pyskl - INFO - Epoch [136][1200/1281] lr: 5.384e-04, eta: 2:01:17, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 2023-12-13 05:04:18,642 - pyskl - INFO - Saving checkpoint at 136 epochs 2023-12-13 05:05:31,847 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 05:05:31,920 - pyskl - INFO - top1_acc 0.9471 top5_acc 0.9965 2023-12-13 05:05:31,920 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 05:05:31,929 - pyskl - INFO - mean_acc 0.9274 2023-12-13 05:05:31,932 - pyskl - INFO - Epoch(val) [136][533] top1_acc: 0.9471, top5_acc: 0.9965, mean_class_accuracy: 0.9274 2023-12-13 05:06:34,521 - pyskl - INFO - Epoch [137][100/1281] lr: 5.277e-04, eta: 2:00:03, time: 0.626, data_time: 0.182, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-13 05:07:00,586 - pyskl - INFO - Epoch [137][200/1281] lr: 5.218e-04, eta: 1:59:21, time: 0.261, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0403, loss: 0.0403 2023-12-13 05:07:39,610 - pyskl - INFO - Epoch [137][300/1281] lr: 5.160e-04, eta: 1:58:41, time: 0.390, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0392, loss: 0.0392 2023-12-13 05:08:21,510 - pyskl - INFO - Epoch [137][400/1281] lr: 5.102e-04, eta: 1:58:01, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 2023-12-13 05:09:03,991 - pyskl - INFO - Epoch [137][500/1281] lr: 5.044e-04, eta: 1:57:20, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0403, loss: 0.0403 2023-12-13 05:09:46,895 - pyskl - INFO - Epoch [137][600/1281] lr: 4.987e-04, eta: 1:56:40, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 2023-12-13 05:10:29,843 - pyskl - INFO - Epoch [137][700/1281] lr: 4.930e-04, eta: 1:56:00, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-13 05:11:12,796 - pyskl - INFO - Epoch [137][800/1281] lr: 4.873e-04, eta: 1:55:20, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 2023-12-13 05:11:55,769 - pyskl - INFO - Epoch [137][900/1281] lr: 4.817e-04, eta: 1:54:40, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-13 05:12:38,716 - pyskl - INFO - Epoch [137][1000/1281] lr: 4.761e-04, eta: 1:54:00, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0379, loss: 0.0379 2023-12-13 05:13:21,720 - pyskl - INFO - Epoch [137][1100/1281] lr: 4.705e-04, eta: 1:53:20, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 05:14:04,657 - pyskl - INFO - Epoch [137][1200/1281] lr: 4.650e-04, eta: 1:52:39, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-13 05:14:40,075 - pyskl - INFO - Saving checkpoint at 137 epochs 2023-12-13 05:15:52,964 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 05:15:53,026 - pyskl - INFO - top1_acc 0.9486 top5_acc 0.9968 2023-12-13 05:15:53,026 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 05:15:53,036 - pyskl - INFO - mean_acc 0.9287 2023-12-13 05:15:53,047 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_134.pth was removed 2023-12-13 05:15:53,280 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. 2023-12-13 05:15:53,280 - pyskl - INFO - Best top1_acc is 0.9486 at 137 epoch. 2023-12-13 05:15:53,283 - pyskl - INFO - Epoch(val) [137][533] top1_acc: 0.9486, top5_acc: 0.9968, mean_class_accuracy: 0.9287 2023-12-13 05:16:56,033 - pyskl - INFO - Epoch [138][100/1281] lr: 4.550e-04, eta: 1:51:25, time: 0.627, data_time: 0.185, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 2023-12-13 05:17:22,528 - pyskl - INFO - Epoch [138][200/1281] lr: 4.496e-04, eta: 1:50:44, time: 0.265, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-13 05:18:02,804 - pyskl - INFO - Epoch [138][300/1281] lr: 4.442e-04, eta: 1:50:03, time: 0.403, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 2023-12-13 05:18:45,730 - pyskl - INFO - Epoch [138][400/1281] lr: 4.388e-04, eta: 1:49:23, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 2023-12-13 05:19:28,850 - pyskl - INFO - Epoch [138][500/1281] lr: 4.334e-04, eta: 1:48:43, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-13 05:20:11,201 - pyskl - INFO - Epoch [138][600/1281] lr: 4.281e-04, eta: 1:48:03, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 2023-12-13 05:20:53,227 - pyskl - INFO - Epoch [138][700/1281] lr: 4.228e-04, eta: 1:47:23, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-13 05:21:35,061 - pyskl - INFO - Epoch [138][800/1281] lr: 4.176e-04, eta: 1:46:42, time: 0.418, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 2023-12-13 05:22:17,093 - pyskl - INFO - Epoch [138][900/1281] lr: 4.124e-04, eta: 1:46:02, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 2023-12-13 05:22:58,988 - pyskl - INFO - Epoch [138][1000/1281] lr: 4.072e-04, eta: 1:45:22, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0406, loss: 0.0406 2023-12-13 05:23:40,900 - pyskl - INFO - Epoch [138][1100/1281] lr: 4.020e-04, eta: 1:44:42, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-13 05:24:22,781 - pyskl - INFO - Epoch [138][1200/1281] lr: 3.969e-04, eta: 1:44:01, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 2023-12-13 05:24:58,128 - pyskl - INFO - Saving checkpoint at 138 epochs 2023-12-13 05:26:10,993 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 05:26:11,066 - pyskl - INFO - top1_acc 0.9457 top5_acc 0.9964 2023-12-13 05:26:11,066 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 05:26:11,076 - pyskl - INFO - mean_acc 0.9235 2023-12-13 05:26:11,079 - pyskl - INFO - Epoch(val) [138][533] top1_acc: 0.9457, top5_acc: 0.9964, mean_class_accuracy: 0.9235 2023-12-13 05:27:13,737 - pyskl - INFO - Epoch [139][100/1281] lr: 3.877e-04, eta: 1:42:47, time: 0.627, data_time: 0.183, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 2023-12-13 05:27:40,159 - pyskl - INFO - Epoch [139][200/1281] lr: 3.827e-04, eta: 1:42:06, time: 0.264, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 2023-12-13 05:28:19,102 - pyskl - INFO - Epoch [139][300/1281] lr: 3.777e-04, eta: 1:41:25, time: 0.389, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 2023-12-13 05:29:01,023 - pyskl - INFO - Epoch [139][400/1281] lr: 3.727e-04, eta: 1:40:45, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 2023-12-13 05:29:42,934 - pyskl - INFO - Epoch [139][500/1281] lr: 3.678e-04, eta: 1:40:05, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-13 05:30:24,864 - pyskl - INFO - Epoch [139][600/1281] lr: 3.628e-04, eta: 1:39:24, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 2023-12-13 05:31:06,739 - pyskl - INFO - Epoch [139][700/1281] lr: 3.580e-04, eta: 1:38:44, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 2023-12-13 05:31:48,561 - pyskl - INFO - Epoch [139][800/1281] lr: 3.531e-04, eta: 1:38:04, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-13 05:32:30,607 - pyskl - INFO - Epoch [139][900/1281] lr: 3.483e-04, eta: 1:37:24, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0411, loss: 0.0411 2023-12-13 05:33:12,388 - pyskl - INFO - Epoch [139][1000/1281] lr: 3.436e-04, eta: 1:36:43, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 2023-12-13 05:33:54,335 - pyskl - INFO - Epoch [139][1100/1281] lr: 3.388e-04, eta: 1:36:03, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0401, loss: 0.0401 2023-12-13 05:34:36,249 - pyskl - INFO - Epoch [139][1200/1281] lr: 3.341e-04, eta: 1:35:23, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0403, loss: 0.0403 2023-12-13 05:35:11,396 - pyskl - INFO - Saving checkpoint at 139 epochs 2023-12-13 05:36:24,416 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 05:36:24,484 - pyskl - INFO - top1_acc 0.9470 top5_acc 0.9968 2023-12-13 05:36:24,484 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 05:36:24,491 - pyskl - INFO - mean_acc 0.9249 2023-12-13 05:36:24,493 - pyskl - INFO - Epoch(val) [139][533] top1_acc: 0.9470, top5_acc: 0.9968, mean_class_accuracy: 0.9249 2023-12-13 05:37:27,576 - pyskl - INFO - Epoch [140][100/1281] lr: 3.257e-04, eta: 1:34:09, time: 0.631, data_time: 0.188, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0406, loss: 0.0406 2023-12-13 05:37:54,528 - pyskl - INFO - Epoch [140][200/1281] lr: 3.210e-04, eta: 1:33:28, time: 0.270, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0403, loss: 0.0403 2023-12-13 05:38:33,077 - pyskl - INFO - Epoch [140][300/1281] lr: 3.165e-04, eta: 1:32:47, time: 0.385, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 2023-12-13 05:39:15,075 - pyskl - INFO - Epoch [140][400/1281] lr: 3.119e-04, eta: 1:32:07, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 2023-12-13 05:39:57,100 - pyskl - INFO - Epoch [140][500/1281] lr: 3.074e-04, eta: 1:31:27, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-13 05:40:38,971 - pyskl - INFO - Epoch [140][600/1281] lr: 3.029e-04, eta: 1:30:46, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-13 05:41:21,017 - pyskl - INFO - Epoch [140][700/1281] lr: 2.984e-04, eta: 1:30:06, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 2023-12-13 05:42:04,039 - pyskl - INFO - Epoch [140][800/1281] lr: 2.940e-04, eta: 1:29:26, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-13 05:42:47,064 - pyskl - INFO - Epoch [140][900/1281] lr: 2.896e-04, eta: 1:28:46, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 2023-12-13 05:43:29,480 - pyskl - INFO - Epoch [140][1000/1281] lr: 2.853e-04, eta: 1:28:05, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-13 05:44:11,381 - pyskl - INFO - Epoch [140][1100/1281] lr: 2.809e-04, eta: 1:27:25, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-13 05:44:53,277 - pyskl - INFO - Epoch [140][1200/1281] lr: 2.767e-04, eta: 1:26:45, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 2023-12-13 05:45:27,806 - pyskl - INFO - Saving checkpoint at 140 epochs 2023-12-13 05:46:41,518 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 05:46:41,588 - pyskl - INFO - top1_acc 0.9480 top5_acc 0.9965 2023-12-13 05:46:41,589 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 05:46:41,599 - pyskl - INFO - mean_acc 0.9261 2023-12-13 05:46:41,604 - pyskl - INFO - Epoch(val) [140][533] top1_acc: 0.9480, top5_acc: 0.9965, mean_class_accuracy: 0.9261 2023-12-13 05:47:44,656 - pyskl - INFO - Epoch [141][100/1281] lr: 2.690e-04, eta: 1:25:31, time: 0.630, data_time: 0.187, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 2023-12-13 05:48:11,032 - pyskl - INFO - Epoch [141][200/1281] lr: 2.648e-04, eta: 1:24:50, time: 0.264, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-13 05:48:50,145 - pyskl - INFO - Epoch [141][300/1281] lr: 2.606e-04, eta: 1:24:09, time: 0.391, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-13 05:49:33,174 - pyskl - INFO - Epoch [141][400/1281] lr: 2.565e-04, eta: 1:23:29, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 2023-12-13 05:50:16,349 - pyskl - INFO - Epoch [141][500/1281] lr: 2.524e-04, eta: 1:22:49, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 2023-12-13 05:50:59,239 - pyskl - INFO - Epoch [141][600/1281] lr: 2.483e-04, eta: 1:22:09, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 2023-12-13 05:51:42,254 - pyskl - INFO - Epoch [141][700/1281] lr: 2.443e-04, eta: 1:21:29, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 2023-12-13 05:52:25,216 - pyskl - INFO - Epoch [141][800/1281] lr: 2.402e-04, eta: 1:20:48, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-13 05:53:08,115 - pyskl - INFO - Epoch [141][900/1281] lr: 2.363e-04, eta: 1:20:08, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0411, loss: 0.0411 2023-12-13 05:53:51,007 - pyskl - INFO - Epoch [141][1000/1281] lr: 2.323e-04, eta: 1:19:28, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-13 05:54:33,459 - pyskl - INFO - Epoch [141][1100/1281] lr: 2.284e-04, eta: 1:18:48, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 2023-12-13 05:55:15,493 - pyskl - INFO - Epoch [141][1200/1281] lr: 2.246e-04, eta: 1:18:07, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 2023-12-13 05:55:49,877 - pyskl - INFO - Saving checkpoint at 141 epochs 2023-12-13 05:57:02,310 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 05:57:02,369 - pyskl - INFO - top1_acc 0.9473 top5_acc 0.9967 2023-12-13 05:57:02,369 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 05:57:02,378 - pyskl - INFO - mean_acc 0.9249 2023-12-13 05:57:02,383 - pyskl - INFO - Epoch(val) [141][533] top1_acc: 0.9473, top5_acc: 0.9967, mean_class_accuracy: 0.9249 2023-12-13 05:58:04,029 - pyskl - INFO - Epoch [142][100/1281] lr: 2.176e-04, eta: 1:16:54, time: 0.616, data_time: 0.181, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 2023-12-13 05:58:31,773 - pyskl - INFO - Epoch [142][200/1281] lr: 2.139e-04, eta: 1:16:12, time: 0.277, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 2023-12-13 05:59:09,884 - pyskl - INFO - Epoch [142][300/1281] lr: 2.101e-04, eta: 1:15:32, time: 0.381, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 2023-12-13 05:59:51,809 - pyskl - INFO - Epoch [142][400/1281] lr: 2.064e-04, eta: 1:14:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 2023-12-13 06:00:33,680 - pyskl - INFO - Epoch [142][500/1281] lr: 2.027e-04, eta: 1:14:11, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-13 06:01:15,583 - pyskl - INFO - Epoch [142][600/1281] lr: 1.991e-04, eta: 1:13:31, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 2023-12-13 06:01:57,483 - pyskl - INFO - Epoch [142][700/1281] lr: 1.954e-04, eta: 1:12:51, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 2023-12-13 06:02:39,509 - pyskl - INFO - Epoch [142][800/1281] lr: 1.919e-04, eta: 1:12:11, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-13 06:03:21,484 - pyskl - INFO - Epoch [142][900/1281] lr: 1.883e-04, eta: 1:11:30, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 2023-12-13 06:04:03,447 - pyskl - INFO - Epoch [142][1000/1281] lr: 1.848e-04, eta: 1:10:50, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 2023-12-13 06:04:45,381 - pyskl - INFO - Epoch [142][1100/1281] lr: 1.813e-04, eta: 1:10:10, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 2023-12-13 06:05:27,263 - pyskl - INFO - Epoch [142][1200/1281] lr: 1.779e-04, eta: 1:09:29, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 2023-12-13 06:06:01,892 - pyskl - INFO - Saving checkpoint at 142 epochs 2023-12-13 06:07:14,605 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 06:07:14,661 - pyskl - INFO - top1_acc 0.9481 top5_acc 0.9969 2023-12-13 06:07:14,661 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 06:07:14,668 - pyskl - INFO - mean_acc 0.9266 2023-12-13 06:07:14,670 - pyskl - INFO - Epoch(val) [142][533] top1_acc: 0.9481, top5_acc: 0.9969, mean_class_accuracy: 0.9266 2023-12-13 06:08:17,265 - pyskl - INFO - Epoch [143][100/1281] lr: 1.717e-04, eta: 1:08:16, time: 0.626, data_time: 0.185, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 2023-12-13 06:08:44,198 - pyskl - INFO - Epoch [143][200/1281] lr: 1.683e-04, eta: 1:07:35, time: 0.269, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-13 06:09:22,820 - pyskl - INFO - Epoch [143][300/1281] lr: 1.650e-04, eta: 1:06:54, time: 0.386, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 2023-12-13 06:10:05,611 - pyskl - INFO - Epoch [143][400/1281] lr: 1.617e-04, eta: 1:06:14, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-13 06:10:48,576 - pyskl - INFO - Epoch [143][500/1281] lr: 1.585e-04, eta: 1:05:34, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-13 06:11:31,030 - pyskl - INFO - Epoch [143][600/1281] lr: 1.552e-04, eta: 1:04:54, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 2023-12-13 06:12:12,951 - pyskl - INFO - Epoch [143][700/1281] lr: 1.520e-04, eta: 1:04:13, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0433, loss: 0.0433 2023-12-13 06:12:54,940 - pyskl - INFO - Epoch [143][800/1281] lr: 1.489e-04, eta: 1:03:33, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-13 06:13:36,859 - pyskl - INFO - Epoch [143][900/1281] lr: 1.457e-04, eta: 1:02:53, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 2023-12-13 06:14:18,829 - pyskl - INFO - Epoch [143][1000/1281] lr: 1.426e-04, eta: 1:02:12, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0471, loss: 0.0471 2023-12-13 06:15:00,756 - pyskl - INFO - Epoch [143][1100/1281] lr: 1.396e-04, eta: 1:01:32, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 2023-12-13 06:15:42,563 - pyskl - INFO - Epoch [143][1200/1281] lr: 1.366e-04, eta: 1:00:52, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 06:16:17,035 - pyskl - INFO - Saving checkpoint at 143 epochs 2023-12-13 06:17:30,290 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 06:17:30,345 - pyskl - INFO - top1_acc 0.9472 top5_acc 0.9965 2023-12-13 06:17:30,346 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 06:17:30,352 - pyskl - INFO - mean_acc 0.9254 2023-12-13 06:17:30,354 - pyskl - INFO - Epoch(val) [143][533] top1_acc: 0.9472, top5_acc: 0.9965, mean_class_accuracy: 0.9254 2023-12-13 06:18:32,034 - pyskl - INFO - Epoch [144][100/1281] lr: 1.312e-04, eta: 0:59:38, time: 0.617, data_time: 0.184, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 2023-12-13 06:18:59,649 - pyskl - INFO - Epoch [144][200/1281] lr: 1.282e-04, eta: 0:58:57, time: 0.276, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 2023-12-13 06:19:36,991 - pyskl - INFO - Epoch [144][300/1281] lr: 1.253e-04, eta: 0:58:17, time: 0.373, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 2023-12-13 06:20:18,921 - pyskl - INFO - Epoch [144][400/1281] lr: 1.224e-04, eta: 0:57:37, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 2023-12-13 06:21:00,760 - pyskl - INFO - Epoch [144][500/1281] lr: 1.196e-04, eta: 0:56:56, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 2023-12-13 06:21:42,688 - pyskl - INFO - Epoch [144][600/1281] lr: 1.168e-04, eta: 0:56:16, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 2023-12-13 06:22:24,998 - pyskl - INFO - Epoch [144][700/1281] lr: 1.140e-04, eta: 0:55:36, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-13 06:23:07,987 - pyskl - INFO - Epoch [144][800/1281] lr: 1.113e-04, eta: 0:54:55, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0405, loss: 0.0405 2023-12-13 06:23:51,013 - pyskl - INFO - Epoch [144][900/1281] lr: 1.086e-04, eta: 0:54:15, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 2023-12-13 06:24:34,010 - pyskl - INFO - Epoch [144][1000/1281] lr: 1.059e-04, eta: 0:53:35, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 2023-12-13 06:25:16,912 - pyskl - INFO - Epoch [144][1100/1281] lr: 1.033e-04, eta: 0:52:55, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 06:25:59,707 - pyskl - INFO - Epoch [144][1200/1281] lr: 1.007e-04, eta: 0:52:14, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 2023-12-13 06:26:34,988 - pyskl - INFO - Saving checkpoint at 144 epochs 2023-12-13 06:27:47,799 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 06:27:47,867 - pyskl - INFO - top1_acc 0.9478 top5_acc 0.9971 2023-12-13 06:27:47,867 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 06:27:47,875 - pyskl - INFO - mean_acc 0.9252 2023-12-13 06:27:47,877 - pyskl - INFO - Epoch(val) [144][533] top1_acc: 0.9478, top5_acc: 0.9971, mean_class_accuracy: 0.9252 2023-12-13 06:28:49,112 - pyskl - INFO - Epoch [145][100/1281] lr: 9.605e-05, eta: 0:51:01, time: 0.612, data_time: 0.183, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 2023-12-13 06:29:17,321 - pyskl - INFO - Epoch [145][200/1281] lr: 9.353e-05, eta: 0:50:20, time: 0.282, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 2023-12-13 06:29:54,128 - pyskl - INFO - Epoch [145][300/1281] lr: 9.106e-05, eta: 0:49:40, time: 0.368, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-13 06:30:36,839 - pyskl - INFO - Epoch [145][400/1281] lr: 8.861e-05, eta: 0:48:59, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0413, loss: 0.0413 2023-12-13 06:31:19,773 - pyskl - INFO - Epoch [145][500/1281] lr: 8.620e-05, eta: 0:48:19, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 2023-12-13 06:32:02,741 - pyskl - INFO - Epoch [145][600/1281] lr: 8.382e-05, eta: 0:47:39, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0379, loss: 0.0379 2023-12-13 06:32:45,666 - pyskl - INFO - Epoch [145][700/1281] lr: 8.147e-05, eta: 0:46:59, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 2023-12-13 06:33:28,602 - pyskl - INFO - Epoch [145][800/1281] lr: 7.916e-05, eta: 0:46:18, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 2023-12-13 06:34:10,649 - pyskl - INFO - Epoch [145][900/1281] lr: 7.688e-05, eta: 0:45:38, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-13 06:34:52,518 - pyskl - INFO - Epoch [145][1000/1281] lr: 7.463e-05, eta: 0:44:58, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 06:35:34,419 - pyskl - INFO - Epoch [145][1100/1281] lr: 7.242e-05, eta: 0:44:17, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 2023-12-13 06:36:16,326 - pyskl - INFO - Epoch [145][1200/1281] lr: 7.024e-05, eta: 0:43:37, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 2023-12-13 06:36:50,931 - pyskl - INFO - Saving checkpoint at 145 epochs 2023-12-13 06:38:03,483 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 06:38:03,547 - pyskl - INFO - top1_acc 0.9468 top5_acc 0.9971 2023-12-13 06:38:03,547 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 06:38:03,558 - pyskl - INFO - mean_acc 0.9272 2023-12-13 06:38:03,561 - pyskl - INFO - Epoch(val) [145][533] top1_acc: 0.9468, top5_acc: 0.9971, mean_class_accuracy: 0.9272 2023-12-13 06:39:04,798 - pyskl - INFO - Epoch [146][100/1281] lr: 6.638e-05, eta: 0:42:24, time: 0.612, data_time: 0.187, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 2023-12-13 06:39:33,793 - pyskl - INFO - Epoch [146][200/1281] lr: 6.429e-05, eta: 0:41:43, time: 0.290, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-13 06:40:10,999 - pyskl - INFO - Epoch [146][300/1281] lr: 6.224e-05, eta: 0:41:02, time: 0.372, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-13 06:40:53,643 - pyskl - INFO - Epoch [146][400/1281] lr: 6.022e-05, eta: 0:40:22, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0392, loss: 0.0392 2023-12-13 06:41:35,527 - pyskl - INFO - Epoch [146][500/1281] lr: 5.823e-05, eta: 0:39:42, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0405, loss: 0.0405 2023-12-13 06:42:17,484 - pyskl - INFO - Epoch [146][600/1281] lr: 5.628e-05, eta: 0:39:02, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 2023-12-13 06:42:59,585 - pyskl - INFO - Epoch [146][700/1281] lr: 5.436e-05, eta: 0:38:21, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0406, loss: 0.0406 2023-12-13 06:43:41,441 - pyskl - INFO - Epoch [146][800/1281] lr: 5.247e-05, eta: 0:37:41, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 2023-12-13 06:44:23,504 - pyskl - INFO - Epoch [146][900/1281] lr: 5.061e-05, eta: 0:37:01, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 2023-12-13 06:45:05,287 - pyskl - INFO - Epoch [146][1000/1281] lr: 4.879e-05, eta: 0:36:20, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-13 06:45:47,220 - pyskl - INFO - Epoch [146][1100/1281] lr: 4.701e-05, eta: 0:35:40, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 2023-12-13 06:46:29,127 - pyskl - INFO - Epoch [146][1200/1281] lr: 4.525e-05, eta: 0:35:00, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0375, loss: 0.0375 2023-12-13 06:47:03,834 - pyskl - INFO - Saving checkpoint at 146 epochs 2023-12-13 06:48:17,238 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 06:48:17,294 - pyskl - INFO - top1_acc 0.9482 top5_acc 0.9966 2023-12-13 06:48:17,295 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 06:48:17,302 - pyskl - INFO - mean_acc 0.9259 2023-12-13 06:48:17,304 - pyskl - INFO - Epoch(val) [146][533] top1_acc: 0.9482, top5_acc: 0.9966, mean_class_accuracy: 0.9259 2023-12-13 06:49:19,407 - pyskl - INFO - Epoch [147][100/1281] lr: 4.216e-05, eta: 0:33:46, time: 0.621, data_time: 0.189, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 2023-12-13 06:49:47,431 - pyskl - INFO - Epoch [147][200/1281] lr: 4.050e-05, eta: 0:33:06, time: 0.280, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0434, loss: 0.0434 2023-12-13 06:50:25,536 - pyskl - INFO - Epoch [147][300/1281] lr: 3.887e-05, eta: 0:32:25, time: 0.381, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 2023-12-13 06:51:08,571 - pyskl - INFO - Epoch [147][400/1281] lr: 3.728e-05, eta: 0:31:45, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 2023-12-13 06:51:51,504 - pyskl - INFO - Epoch [147][500/1281] lr: 3.572e-05, eta: 0:31:05, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 2023-12-13 06:52:34,497 - pyskl - INFO - Epoch [147][600/1281] lr: 3.419e-05, eta: 0:30:25, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 2023-12-13 06:53:17,355 - pyskl - INFO - Epoch [147][700/1281] lr: 3.270e-05, eta: 0:29:44, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 06:54:00,246 - pyskl - INFO - Epoch [147][800/1281] lr: 3.124e-05, eta: 0:29:04, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-13 06:54:42,344 - pyskl - INFO - Epoch [147][900/1281] lr: 2.981e-05, eta: 0:28:24, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 06:55:24,316 - pyskl - INFO - Epoch [147][1000/1281] lr: 2.842e-05, eta: 0:27:43, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-13 06:56:06,107 - pyskl - INFO - Epoch [147][1100/1281] lr: 2.706e-05, eta: 0:27:03, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 2023-12-13 06:56:47,931 - pyskl - INFO - Epoch [147][1200/1281] lr: 2.573e-05, eta: 0:26:23, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 2023-12-13 06:57:22,518 - pyskl - INFO - Saving checkpoint at 147 epochs 2023-12-13 06:58:35,971 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 06:58:36,027 - pyskl - INFO - top1_acc 0.9479 top5_acc 0.9969 2023-12-13 06:58:36,027 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 06:58:36,033 - pyskl - INFO - mean_acc 0.9260 2023-12-13 06:58:36,035 - pyskl - INFO - Epoch(val) [147][533] top1_acc: 0.9479, top5_acc: 0.9969, mean_class_accuracy: 0.9260 2023-12-13 06:59:37,369 - pyskl - INFO - Epoch [148][100/1281] lr: 2.341e-05, eta: 0:25:10, time: 0.613, data_time: 0.183, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0379, loss: 0.0379 2023-12-13 07:00:05,400 - pyskl - INFO - Epoch [148][200/1281] lr: 2.218e-05, eta: 0:24:29, time: 0.280, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 2023-12-13 07:00:42,246 - pyskl - INFO - Epoch [148][300/1281] lr: 2.098e-05, eta: 0:23:49, time: 0.368, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-13 07:01:24,285 - pyskl - INFO - Epoch [148][400/1281] lr: 1.981e-05, eta: 0:23:08, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0410, loss: 0.0410 2023-12-13 07:02:06,272 - pyskl - INFO - Epoch [148][500/1281] lr: 1.868e-05, eta: 0:22:28, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0405, loss: 0.0405 2023-12-13 07:02:48,302 - pyskl - INFO - Epoch [148][600/1281] lr: 1.758e-05, eta: 0:21:48, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-13 07:03:30,070 - pyskl - INFO - Epoch [148][700/1281] lr: 1.651e-05, eta: 0:21:07, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-13 07:04:12,007 - pyskl - INFO - Epoch [148][800/1281] lr: 1.548e-05, eta: 0:20:27, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 2023-12-13 07:04:53,940 - pyskl - INFO - Epoch [148][900/1281] lr: 1.448e-05, eta: 0:19:47, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 2023-12-13 07:05:35,819 - pyskl - INFO - Epoch [148][1000/1281] lr: 1.351e-05, eta: 0:19:06, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 2023-12-13 07:06:18,517 - pyskl - INFO - Epoch [148][1100/1281] lr: 1.258e-05, eta: 0:18:26, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 2023-12-13 07:07:01,398 - pyskl - INFO - Epoch [148][1200/1281] lr: 1.168e-05, eta: 0:17:46, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-13 07:07:36,757 - pyskl - INFO - Saving checkpoint at 148 epochs 2023-12-13 07:08:49,593 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 07:08:49,650 - pyskl - INFO - top1_acc 0.9480 top5_acc 0.9965 2023-12-13 07:08:49,650 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 07:08:49,659 - pyskl - INFO - mean_acc 0.9266 2023-12-13 07:08:49,661 - pyskl - INFO - Epoch(val) [148][533] top1_acc: 0.9480, top5_acc: 0.9965, mean_class_accuracy: 0.9266 2023-12-13 07:09:50,648 - pyskl - INFO - Epoch [149][100/1281] lr: 1.013e-05, eta: 0:16:33, time: 0.610, data_time: 0.183, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 2023-12-13 07:10:19,291 - pyskl - INFO - Epoch [149][200/1281] lr: 9.328e-06, eta: 0:15:52, time: 0.286, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 2023-12-13 07:10:56,629 - pyskl - INFO - Epoch [149][300/1281] lr: 8.555e-06, eta: 0:15:12, time: 0.373, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 2023-12-13 07:11:39,617 - pyskl - INFO - Epoch [149][400/1281] lr: 7.816e-06, eta: 0:14:31, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 2023-12-13 07:12:22,525 - pyskl - INFO - Epoch [149][500/1281] lr: 7.110e-06, eta: 0:13:51, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 2023-12-13 07:13:05,495 - pyskl - INFO - Epoch [149][600/1281] lr: 6.437e-06, eta: 0:13:11, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 2023-12-13 07:13:47,522 - pyskl - INFO - Epoch [149][700/1281] lr: 5.798e-06, eta: 0:12:31, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 2023-12-13 07:14:29,379 - pyskl - INFO - Epoch [149][800/1281] lr: 5.192e-06, eta: 0:11:50, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-13 07:15:11,243 - pyskl - INFO - Epoch [149][900/1281] lr: 4.620e-06, eta: 0:11:10, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 2023-12-13 07:15:53,222 - pyskl - INFO - Epoch [149][1000/1281] lr: 4.081e-06, eta: 0:10:30, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-13 07:16:35,108 - pyskl - INFO - Epoch [149][1100/1281] lr: 3.576e-06, eta: 0:09:49, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 2023-12-13 07:17:16,982 - pyskl - INFO - Epoch [149][1200/1281] lr: 3.104e-06, eta: 0:09:09, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 07:17:51,558 - pyskl - INFO - Saving checkpoint at 149 epochs 2023-12-13 07:19:04,712 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 07:19:04,767 - pyskl - INFO - top1_acc 0.9482 top5_acc 0.9971 2023-12-13 07:19:04,767 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 07:19:04,773 - pyskl - INFO - mean_acc 0.9282 2023-12-13 07:19:04,775 - pyskl - INFO - Epoch(val) [149][533] top1_acc: 0.9482, top5_acc: 0.9971, mean_class_accuracy: 0.9282 2023-12-13 07:20:04,424 - pyskl - INFO - Epoch [150][100/1281] lr: 2.334e-06, eta: 0:07:56, time: 0.596, data_time: 0.183, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 2023-12-13 07:20:34,095 - pyskl - INFO - Epoch [150][200/1281] lr: 1.956e-06, eta: 0:07:15, time: 0.297, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 2023-12-13 07:21:09,414 - pyskl - INFO - Epoch [150][300/1281] lr: 1.611e-06, eta: 0:06:35, time: 0.353, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0379, loss: 0.0379 2023-12-13 07:21:52,456 - pyskl - INFO - Epoch [150][400/1281] lr: 1.300e-06, eta: 0:05:55, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-13 07:22:35,340 - pyskl - INFO - Epoch [150][500/1281] lr: 1.022e-06, eta: 0:05:14, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0405, loss: 0.0405 2023-12-13 07:23:18,365 - pyskl - INFO - Epoch [150][600/1281] lr: 7.771e-07, eta: 0:04:34, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 2023-12-13 07:24:01,177 - pyskl - INFO - Epoch [150][700/1281] lr: 5.659e-07, eta: 0:03:54, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 2023-12-13 07:24:44,101 - pyskl - INFO - Epoch [150][800/1281] lr: 3.881e-07, eta: 0:03:13, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 2023-12-13 07:25:26,894 - pyskl - INFO - Epoch [150][900/1281] lr: 2.438e-07, eta: 0:02:33, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 2023-12-13 07:26:09,905 - pyskl - INFO - Epoch [150][1000/1281] lr: 1.329e-07, eta: 0:01:53, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 2023-12-13 07:26:52,724 - 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: 0.0385, loss: 0.0385 2023-12-13 07:27:34,768 - pyskl - INFO - Epoch [150][1200/1281] lr: 1.123e-08, eta: 0:00:32, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 2023-12-13 07:28:09,383 - pyskl - INFO - Saving checkpoint at 150 epochs 2023-12-13 07:29:22,354 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-13 07:29:22,430 - pyskl - INFO - top1_acc 0.9468 top5_acc 0.9966 2023-12-13 07:29:22,430 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-13 07:29:22,441 - pyskl - INFO - mean_acc 0.9273 2023-12-13 07:29:22,444 - pyskl - INFO - Epoch(val) [150][533] top1_acc: 0.9468, top5_acc: 0.9966, mean_class_accuracy: 0.9273 2023-12-13 07:29:26,859 - pyskl - INFO - 8521 videos remain after valid thresholding 2023-12-13 07:39:36,778 - pyskl - INFO - Testing results of the last checkpoint 2023-12-13 07:39:36,779 - pyskl - INFO - top1_acc: 0.9487 2023-12-13 07:39:36,779 - pyskl - INFO - top5_acc: 0.9969 2023-12-13 07:39:36,779 - pyskl - INFO - mean_class_accuracy: 0.9307 2023-12-13 07:39:36,780 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/finegym/b_1/best_top1_acc_epoch_137.pth 2023-12-13 07:49:52,345 - pyskl - INFO - Testing results of the best checkpoint 2023-12-13 07:49:52,346 - pyskl - INFO - top1_acc: 0.9484 2023-12-13 07:49:52,346 - pyskl - INFO - top5_acc: 0.9969 2023-12-13 07:49:52,346 - pyskl - INFO - mean_class_accuracy: 0.9304