2023-12-23 05:08:22,162 - pyskl - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] CUDA available: True GPU 0: Tesla V100-PCIE-32GB CUDA_HOME: /usr/local/cuda-12.0 NVCC: Cuda compilation tools, release 12.0, V12.0.76 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 PyTorch: 1.11.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.12.0 OpenCV: 4.8.0 MMCV: 1.5.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.3 pyskl: 0.1.0+ ------------------------------------------------------------ 2023-12-23 05:08:22,539 - pyskl - INFO - Config: modality = 'jm' graph = 'coco_new' work_dir = './work_dirs/test_prototype/finegym/jm' model = dict( type='RecognizerGCN_7_1_1', backbone=dict( type='GCN_7_1_2', tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], graph_cfg=dict( layout='coco_new', mode='random', num_filter=8, init_off=0.04, init_std=0.02)), cls_head=dict(type='SimpleHead_7_4_12', num_classes=99, in_channels=384)) dataset_type = 'PoseDataset' ann_file = '/data/lhd/pyskl_data/gym/gym_hrnet.pkl' left_kp = [1, 3, 5, 7, 9, 11, 13, 15] right_kp = [2, 4, 6, 8, 10, 12, 14, 16] train_pipeline = [ dict(type='UniformSampleFrames', clip_len=100), dict(type='PoseDecode'), dict( type='Flip', flip_ratio=0.5, left_kp=[1, 3, 5, 7, 9, 11, 13, 15], right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), dict(type='Kinetics_Transform'), dict(type='GenSkeFeat', dataset='coco_new', feats=['jm']), 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=['jm']), 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=['jm']), 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=['jm']), 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=['jm']), 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=['jm']), dict(type='FormatGCNInput', num_person=2), dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['keypoint']) ], split='val')) optimizer = dict( type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) optimizer_config = dict(grad_clip=None) lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) total_epochs = 150 checkpoint_config = dict(interval=1) evaluation = dict( interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) dist_params = dict(backend='nccl') gpu_ids = range(0, 1) 2023-12-23 05:08:22,539 - pyskl - INFO - Set random seed to 1098670035, deterministic: False 2023-12-23 05:08:23,967 - pyskl - INFO - 20484 videos remain after valid thresholding 2023-12-23 05:08:29,517 - pyskl - INFO - 8521 videos remain after valid thresholding 2023-12-23 05:08:29,518 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm 2023-12-23 05:08:29,518 - pyskl - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) DistSamplerSeedHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (NORMAL ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2023-12-23 05:08:29,518 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2023-12-23 05:08:29,519 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm by HardDiskBackend. 2023-12-23 05:09:29,719 - pyskl - INFO - Epoch [1][100/1281] lr: 2.500e-02, eta: 1 day, 8:06:44, time: 0.602, data_time: 0.172, memory: 4130, top1_acc: 0.0619, top5_acc: 0.2056, loss_cls: 6.1465, loss: 6.1465 2023-12-23 05:10:11,514 - pyskl - INFO - Epoch [1][200/1281] lr: 2.500e-02, eta: 1 day, 3:11:21, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.0906, top5_acc: 0.2906, loss_cls: 6.3185, loss: 6.3185 2023-12-23 05:10:54,614 - pyskl - INFO - Epoch [1][300/1281] lr: 2.500e-02, eta: 1 day, 1:46:22, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.1206, top5_acc: 0.3600, loss_cls: 6.3396, loss: 6.3396 2023-12-23 05:11:37,664 - pyskl - INFO - Epoch [1][400/1281] lr: 2.500e-02, eta: 1 day, 1:03:07, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.1369, top5_acc: 0.4250, loss_cls: 6.0551, loss: 6.0551 2023-12-23 05:12:20,283 - pyskl - INFO - Epoch [1][500/1281] lr: 2.500e-02, eta: 1 day, 0:34:07, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.1388, top5_acc: 0.4306, loss_cls: 6.1261, loss: 6.1261 2023-12-23 05:13:02,589 - pyskl - INFO - Epoch [1][600/1281] lr: 2.500e-02, eta: 1 day, 0:12:53, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.2013, top5_acc: 0.5394, loss_cls: 5.6465, loss: 5.6465 2023-12-23 05:13:44,261 - pyskl - INFO - Epoch [1][700/1281] lr: 2.500e-02, eta: 23:54:38, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.2263, top5_acc: 0.5569, loss_cls: 5.3691, loss: 5.3691 2023-12-23 05:14:25,975 - pyskl - INFO - Epoch [1][800/1281] lr: 2.500e-02, eta: 23:40:56, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.2731, top5_acc: 0.6362, loss_cls: 5.1094, loss: 5.1094 2023-12-23 05:15:07,711 - pyskl - INFO - Epoch [1][900/1281] lr: 2.500e-02, eta: 23:30:12, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.2969, top5_acc: 0.6444, loss_cls: 4.9673, loss: 4.9673 2023-12-23 05:15:49,746 - pyskl - INFO - Epoch [1][1000/1281] lr: 2.500e-02, eta: 23:22:26, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.3200, top5_acc: 0.6900, loss_cls: 4.7330, loss: 4.7330 2023-12-23 05:16:32,516 - pyskl - INFO - Epoch [1][1100/1281] lr: 2.500e-02, eta: 23:18:05, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.3556, top5_acc: 0.7288, loss_cls: 4.6510, loss: 4.6510 2023-12-23 05:17:16,169 - pyskl - INFO - Epoch [1][1200/1281] lr: 2.500e-02, eta: 23:16:40, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.3894, top5_acc: 0.7481, loss_cls: 4.3796, loss: 4.3796 2023-12-23 05:17:40,150 - pyskl - INFO - Saving checkpoint at 1 epochs 2023-12-23 05:18:44,672 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 05:18:44,728 - pyskl - INFO - top1_acc 0.3469 top5_acc 0.7523 2023-12-23 05:18:44,729 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 05:18:44,736 - pyskl - INFO - mean_acc 0.1684 2023-12-23 05:18:44,905 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2023-12-23 05:18:44,906 - pyskl - INFO - Best top1_acc is 0.3469 at 1 epoch. 2023-12-23 05:18:44,908 - pyskl - INFO - Epoch(val) [1][533] top1_acc: 0.3469, top5_acc: 0.7523, mean_class_accuracy: 0.1684 2023-12-23 05:19:44,238 - pyskl - INFO - Epoch [2][100/1281] lr: 2.500e-02, eta: 22:29:02, time: 0.593, data_time: 0.175, memory: 4130, top1_acc: 0.4081, top5_acc: 0.8006, loss_cls: 4.1674, loss: 4.1674 2023-12-23 05:20:25,880 - pyskl - INFO - Epoch [2][200/1281] lr: 2.500e-02, eta: 22:26:39, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.4131, top5_acc: 0.8181, loss_cls: 4.0694, loss: 4.0694 2023-12-23 05:21:07,626 - pyskl - INFO - Epoch [2][300/1281] lr: 2.500e-02, eta: 22:24:40, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.4506, top5_acc: 0.8438, loss_cls: 3.9523, loss: 3.9523 2023-12-23 05:21:49,336 - pyskl - INFO - Epoch [2][400/1281] lr: 2.500e-02, eta: 22:22:47, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.4394, top5_acc: 0.8438, loss_cls: 3.9589, loss: 3.9589 2023-12-23 05:22:30,959 - pyskl - INFO - Epoch [2][500/1281] lr: 2.499e-02, eta: 22:20:52, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.4781, top5_acc: 0.8488, loss_cls: 3.7678, loss: 3.7678 2023-12-23 05:23:12,782 - pyskl - INFO - Epoch [2][600/1281] lr: 2.499e-02, eta: 22:19:25, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.4944, top5_acc: 0.8600, loss_cls: 3.6934, loss: 3.6934 2023-12-23 05:23:55,087 - pyskl - INFO - Epoch [2][700/1281] lr: 2.499e-02, eta: 22:18:49, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.5006, top5_acc: 0.8844, loss_cls: 3.6460, loss: 3.6460 2023-12-23 05:24:38,576 - pyskl - INFO - Epoch [2][800/1281] lr: 2.499e-02, eta: 22:20:01, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.4956, top5_acc: 0.8862, loss_cls: 3.5875, loss: 3.5875 2023-12-23 05:25:21,515 - pyskl - INFO - Epoch [2][900/1281] lr: 2.499e-02, eta: 22:20:14, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.5181, top5_acc: 0.8856, loss_cls: 3.5388, loss: 3.5388 2023-12-23 05:26:04,181 - pyskl - INFO - Epoch [2][1000/1281] lr: 2.499e-02, eta: 22:20:00, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.5238, top5_acc: 0.8919, loss_cls: 3.5482, loss: 3.5482 2023-12-23 05:26:46,908 - pyskl - INFO - Epoch [2][1100/1281] lr: 2.499e-02, eta: 22:19:48, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.5094, top5_acc: 0.8850, loss_cls: 3.4982, loss: 3.4982 2023-12-23 05:27:29,456 - pyskl - INFO - Epoch [2][1200/1281] lr: 2.499e-02, eta: 22:19:20, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.5181, top5_acc: 0.8950, loss_cls: 3.4922, loss: 3.4922 2023-12-23 05:27:53,268 - pyskl - INFO - Saving checkpoint at 2 epochs 2023-12-23 05:28:55,386 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 05:28:55,446 - pyskl - INFO - top1_acc 0.5107 top5_acc 0.8940 2023-12-23 05:28:55,446 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 05:28:55,454 - pyskl - INFO - mean_acc 0.3091 2023-12-23 05:28:55,459 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_1.pth was removed 2023-12-23 05:28:55,655 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2023-12-23 05:28:55,655 - pyskl - INFO - Best top1_acc is 0.5107 at 2 epoch. 2023-12-23 05:28:55,658 - pyskl - INFO - Epoch(val) [2][533] top1_acc: 0.5107, top5_acc: 0.8940, mean_class_accuracy: 0.3091 2023-12-23 05:29:56,304 - pyskl - INFO - Epoch [3][100/1281] lr: 2.499e-02, eta: 21:59:01, time: 0.606, data_time: 0.178, memory: 4130, top1_acc: 0.5450, top5_acc: 0.9044, loss_cls: 3.3675, loss: 3.3675 2023-12-23 05:30:40,316 - pyskl - INFO - Epoch [3][200/1281] lr: 2.499e-02, eta: 22:00:53, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.5238, top5_acc: 0.9163, loss_cls: 3.3654, loss: 3.3654 2023-12-23 05:31:23,758 - pyskl - INFO - Epoch [3][300/1281] lr: 2.499e-02, eta: 22:01:56, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.5594, top5_acc: 0.9444, loss_cls: 3.2579, loss: 3.2579 2023-12-23 05:32:06,429 - pyskl - INFO - Epoch [3][400/1281] lr: 2.499e-02, eta: 22:02:03, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.5581, top5_acc: 0.9231, loss_cls: 3.2575, loss: 3.2575 2023-12-23 05:32:48,967 - pyskl - INFO - Epoch [3][500/1281] lr: 2.498e-02, eta: 22:01:59, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.5631, top5_acc: 0.9294, loss_cls: 3.2590, loss: 3.2590 2023-12-23 05:33:31,663 - pyskl - INFO - Epoch [3][600/1281] lr: 2.498e-02, eta: 22:02:02, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.5581, top5_acc: 0.9300, loss_cls: 3.2525, loss: 3.2525 2023-12-23 05:34:13,291 - pyskl - INFO - Epoch [3][700/1281] lr: 2.498e-02, eta: 22:01:00, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.5763, top5_acc: 0.9356, loss_cls: 3.1793, loss: 3.1793 2023-12-23 05:34:55,036 - pyskl - INFO - Epoch [3][800/1281] lr: 2.498e-02, eta: 22:00:06, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.5650, top5_acc: 0.9294, loss_cls: 3.2100, loss: 3.2100 2023-12-23 05:35:36,752 - pyskl - INFO - Epoch [3][900/1281] lr: 2.498e-02, eta: 21:59:11, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.6075, top5_acc: 0.9369, loss_cls: 3.0384, loss: 3.0384 2023-12-23 05:36:18,540 - pyskl - INFO - Epoch [3][1000/1281] lr: 2.498e-02, eta: 21:58:20, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.5819, top5_acc: 0.9431, loss_cls: 3.0879, loss: 3.0879 2023-12-23 05:37:00,677 - pyskl - INFO - Epoch [3][1100/1281] lr: 2.498e-02, eta: 21:57:48, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.6106, top5_acc: 0.9406, loss_cls: 2.9964, loss: 2.9964 2023-12-23 05:37:42,869 - pyskl - INFO - Epoch [3][1200/1281] lr: 2.498e-02, eta: 21:57:18, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.5887, top5_acc: 0.9369, loss_cls: 3.1097, loss: 3.1097 2023-12-23 05:38:06,069 - pyskl - INFO - Saving checkpoint at 3 epochs 2023-12-23 05:39:08,146 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 05:39:08,202 - pyskl - INFO - top1_acc 0.5950 top5_acc 0.9371 2023-12-23 05:39:08,202 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 05:39:08,209 - pyskl - INFO - mean_acc 0.4272 2023-12-23 05:39:08,213 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_2.pth was removed 2023-12-23 05:39:08,409 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2023-12-23 05:39:08,409 - pyskl - INFO - Best top1_acc is 0.5950 at 3 epoch. 2023-12-23 05:39:08,412 - pyskl - INFO - Epoch(val) [3][533] top1_acc: 0.5950, top5_acc: 0.9371, mean_class_accuracy: 0.4272 2023-12-23 05:40:08,517 - pyskl - INFO - Epoch [4][100/1281] lr: 2.497e-02, eta: 21:43:26, time: 0.601, data_time: 0.176, memory: 4130, top1_acc: 0.6175, top5_acc: 0.9413, loss_cls: 2.9931, loss: 2.9931 2023-12-23 05:40:51,065 - pyskl - INFO - Epoch [4][200/1281] lr: 2.497e-02, eta: 21:43:31, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.6200, top5_acc: 0.9569, loss_cls: 2.9703, loss: 2.9703 2023-12-23 05:41:33,684 - pyskl - INFO - Epoch [4][300/1281] lr: 2.497e-02, eta: 21:43:36, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.6119, top5_acc: 0.9519, loss_cls: 2.9855, loss: 2.9855 2023-12-23 05:42:16,316 - pyskl - INFO - Epoch [4][400/1281] lr: 2.497e-02, eta: 21:43:40, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.6244, top5_acc: 0.9525, loss_cls: 2.9716, loss: 2.9716 2023-12-23 05:42:59,028 - pyskl - INFO - Epoch [4][500/1281] lr: 2.497e-02, eta: 21:43:46, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.6206, top5_acc: 0.9387, loss_cls: 2.9776, loss: 2.9776 2023-12-23 05:43:42,708 - pyskl - INFO - Epoch [4][600/1281] lr: 2.497e-02, eta: 21:44:29, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.6131, top5_acc: 0.9563, loss_cls: 3.0036, loss: 3.0036 2023-12-23 05:44:26,721 - pyskl - INFO - Epoch [4][700/1281] lr: 2.497e-02, eta: 21:45:23, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.6388, top5_acc: 0.9537, loss_cls: 2.8635, loss: 2.8635 2023-12-23 05:45:09,463 - pyskl - INFO - Epoch [4][800/1281] lr: 2.496e-02, eta: 21:45:22, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.6406, top5_acc: 0.9581, loss_cls: 2.8721, loss: 2.8721 2023-12-23 05:45:52,101 - pyskl - INFO - Epoch [4][900/1281] lr: 2.496e-02, eta: 21:45:14, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.6225, top5_acc: 0.9619, loss_cls: 2.9183, loss: 2.9183 2023-12-23 05:46:34,759 - pyskl - INFO - Epoch [4][1000/1281] lr: 2.496e-02, eta: 21:45:06, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.6450, top5_acc: 0.9550, loss_cls: 2.8830, loss: 2.8830 2023-12-23 05:47:17,463 - pyskl - INFO - Epoch [4][1100/1281] lr: 2.496e-02, eta: 21:44:58, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.6219, top5_acc: 0.9581, loss_cls: 2.9118, loss: 2.9118 2023-12-23 05:47:59,377 - pyskl - INFO - Epoch [4][1200/1281] lr: 2.496e-02, eta: 21:44:19, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.6262, top5_acc: 0.9600, loss_cls: 2.8403, loss: 2.8403 2023-12-23 05:48:21,849 - pyskl - INFO - Saving checkpoint at 4 epochs 2023-12-23 05:49:22,251 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 05:49:22,309 - pyskl - INFO - top1_acc 0.6253 top5_acc 0.9495 2023-12-23 05:49:22,309 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 05:49:22,318 - pyskl - INFO - mean_acc 0.4675 2023-12-23 05:49:22,323 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_3.pth was removed 2023-12-23 05:49:22,514 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2023-12-23 05:49:22,514 - pyskl - INFO - Best top1_acc is 0.6253 at 4 epoch. 2023-12-23 05:49:22,518 - pyskl - INFO - Epoch(val) [4][533] top1_acc: 0.6253, top5_acc: 0.9495, mean_class_accuracy: 0.4675 2023-12-23 05:50:22,067 - pyskl - INFO - Epoch [5][100/1281] lr: 2.495e-02, eta: 21:33:25, time: 0.595, data_time: 0.174, memory: 4130, top1_acc: 0.6356, top5_acc: 0.9581, loss_cls: 2.8463, loss: 2.8463 2023-12-23 05:51:04,286 - pyskl - INFO - Epoch [5][200/1281] lr: 2.495e-02, eta: 21:33:09, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.6450, top5_acc: 0.9738, loss_cls: 2.8254, loss: 2.8254 2023-12-23 05:51:46,035 - pyskl - INFO - Epoch [5][300/1281] lr: 2.495e-02, eta: 21:32:34, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.6813, top5_acc: 0.9594, loss_cls: 2.7656, loss: 2.7656 2023-12-23 05:52:27,724 - pyskl - INFO - Epoch [5][400/1281] lr: 2.495e-02, eta: 21:31:58, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.6731, top5_acc: 0.9656, loss_cls: 2.7610, loss: 2.7610 2023-12-23 05:53:09,472 - pyskl - INFO - Epoch [5][500/1281] lr: 2.495e-02, eta: 21:31:24, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.6813, top5_acc: 0.9644, loss_cls: 2.7618, loss: 2.7618 2023-12-23 05:53:51,341 - pyskl - INFO - Epoch [5][600/1281] lr: 2.495e-02, eta: 21:30:53, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.6531, top5_acc: 0.9681, loss_cls: 2.8009, loss: 2.8009 2023-12-23 05:54:33,051 - pyskl - INFO - Epoch [5][700/1281] lr: 2.494e-02, eta: 21:30:16, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.6813, top5_acc: 0.9594, loss_cls: 2.7822, loss: 2.7822 2023-12-23 05:55:14,720 - pyskl - INFO - Epoch [5][800/1281] lr: 2.494e-02, eta: 21:29:39, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.6800, top5_acc: 0.9656, loss_cls: 2.7493, loss: 2.7493 2023-12-23 05:55:56,402 - pyskl - INFO - Epoch [5][900/1281] lr: 2.494e-02, eta: 21:29:01, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.6594, top5_acc: 0.9619, loss_cls: 2.7932, loss: 2.7932 2023-12-23 05:56:38,631 - pyskl - INFO - Epoch [5][1000/1281] lr: 2.494e-02, eta: 21:28:40, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.6694, top5_acc: 0.9688, loss_cls: 2.7603, loss: 2.7603 2023-12-23 05:57:22,640 - pyskl - INFO - Epoch [5][1100/1281] lr: 2.494e-02, eta: 21:29:11, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.6644, top5_acc: 0.9613, loss_cls: 2.7905, loss: 2.7905 2023-12-23 05:58:05,691 - pyskl - INFO - Epoch [5][1200/1281] lr: 2.493e-02, eta: 21:29:12, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.7006, top5_acc: 0.9762, loss_cls: 2.6756, loss: 2.6756 2023-12-23 05:58:28,187 - pyskl - INFO - Saving checkpoint at 5 epochs 2023-12-23 05:59:27,727 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 05:59:27,782 - pyskl - INFO - top1_acc 0.6794 top5_acc 0.9690 2023-12-23 05:59:27,782 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 05:59:27,790 - pyskl - INFO - mean_acc 0.5383 2023-12-23 05:59:27,794 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_4.pth was removed 2023-12-23 05:59:28,010 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. 2023-12-23 05:59:28,010 - pyskl - INFO - Best top1_acc is 0.6794 at 5 epoch. 2023-12-23 05:59:28,013 - pyskl - INFO - Epoch(val) [5][533] top1_acc: 0.6794, top5_acc: 0.9690, mean_class_accuracy: 0.5383 2023-12-23 06:00:27,279 - pyskl - INFO - Epoch [6][100/1281] lr: 2.493e-02, eta: 21:20:18, time: 0.593, data_time: 0.176, memory: 4130, top1_acc: 0.6881, top5_acc: 0.9706, loss_cls: 2.6909, loss: 2.6909 2023-12-23 06:01:09,041 - pyskl - INFO - Epoch [6][200/1281] lr: 2.493e-02, eta: 21:19:47, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.7063, top5_acc: 0.9756, loss_cls: 2.6392, loss: 2.6392 2023-12-23 06:01:50,873 - pyskl - INFO - Epoch [6][300/1281] lr: 2.492e-02, eta: 21:19:18, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.6850, top5_acc: 0.9762, loss_cls: 2.6650, loss: 2.6650 2023-12-23 06:02:32,688 - pyskl - INFO - Epoch [6][400/1281] lr: 2.492e-02, eta: 21:18:48, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.6737, top5_acc: 0.9769, loss_cls: 2.6803, loss: 2.6803 2023-12-23 06:03:14,809 - pyskl - INFO - Epoch [6][500/1281] lr: 2.492e-02, eta: 21:18:26, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.7131, top5_acc: 0.9719, loss_cls: 2.6400, loss: 2.6400 2023-12-23 06:03:57,513 - pyskl - INFO - Epoch [6][600/1281] lr: 2.492e-02, eta: 21:18:19, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.7050, top5_acc: 0.9700, loss_cls: 2.6545, loss: 2.6545 2023-12-23 06:04:39,559 - pyskl - INFO - Epoch [6][700/1281] lr: 2.492e-02, eta: 21:17:54, time: 0.420, data_time: 0.001, memory: 4130, top1_acc: 0.6869, top5_acc: 0.9688, loss_cls: 2.7076, loss: 2.7076 2023-12-23 06:05:21,282 - pyskl - INFO - Epoch [6][800/1281] lr: 2.491e-02, eta: 21:17:20, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.7144, top5_acc: 0.9631, loss_cls: 2.6682, loss: 2.6682 2023-12-23 06:06:02,962 - pyskl - INFO - Epoch [6][900/1281] lr: 2.491e-02, eta: 21:16:44, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.6981, top5_acc: 0.9656, loss_cls: 2.6826, loss: 2.6826 2023-12-23 06:06:44,829 - pyskl - INFO - Epoch [6][1000/1281] lr: 2.491e-02, eta: 21:16:13, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.7169, top5_acc: 0.9700, loss_cls: 2.6188, loss: 2.6188 2023-12-23 06:07:26,522 - pyskl - INFO - Epoch [6][1100/1281] lr: 2.491e-02, eta: 21:15:38, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.7044, top5_acc: 0.9706, loss_cls: 2.6354, loss: 2.6354 2023-12-23 06:08:08,201 - pyskl - INFO - Epoch [6][1200/1281] lr: 2.490e-02, eta: 21:15:02, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.7194, top5_acc: 0.9756, loss_cls: 2.6265, loss: 2.6265 2023-12-23 06:08:28,990 - pyskl - INFO - Saving checkpoint at 6 epochs 2023-12-23 06:09:27,761 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:09:27,827 - pyskl - INFO - top1_acc 0.6577 top5_acc 0.9610 2023-12-23 06:09:27,828 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:09:27,842 - pyskl - INFO - mean_acc 0.5647 2023-12-23 06:09:27,847 - pyskl - INFO - Epoch(val) [6][533] top1_acc: 0.6577, top5_acc: 0.9610, mean_class_accuracy: 0.5647 2023-12-23 06:10:30,209 - pyskl - INFO - Epoch [7][100/1281] lr: 2.490e-02, eta: 21:08:47, time: 0.624, data_time: 0.200, memory: 4130, top1_acc: 0.7113, top5_acc: 0.9756, loss_cls: 2.6407, loss: 2.6407 2023-12-23 06:11:13,025 - pyskl - INFO - Epoch [7][200/1281] lr: 2.490e-02, eta: 21:08:41, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.7200, top5_acc: 0.9725, loss_cls: 2.6267, loss: 2.6267 2023-12-23 06:11:55,726 - pyskl - INFO - Epoch [7][300/1281] lr: 2.489e-02, eta: 21:08:32, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.7331, top5_acc: 0.9788, loss_cls: 2.5445, loss: 2.5445 2023-12-23 06:12:38,323 - pyskl - INFO - Epoch [7][400/1281] lr: 2.489e-02, eta: 21:08:19, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.7087, top5_acc: 0.9819, loss_cls: 2.5975, loss: 2.5975 2023-12-23 06:13:20,972 - pyskl - INFO - Epoch [7][500/1281] lr: 2.489e-02, eta: 21:08:07, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.7488, top5_acc: 0.9869, loss_cls: 2.4965, loss: 2.4965 2023-12-23 06:14:03,648 - pyskl - INFO - Epoch [7][600/1281] lr: 2.489e-02, eta: 21:07:55, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.7106, top5_acc: 0.9738, loss_cls: 2.6357, loss: 2.6357 2023-12-23 06:14:46,174 - pyskl - INFO - Epoch [7][700/1281] lr: 2.488e-02, eta: 21:07:39, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.7294, top5_acc: 0.9819, loss_cls: 2.5588, loss: 2.5588 2023-12-23 06:15:28,921 - pyskl - INFO - Epoch [7][800/1281] lr: 2.488e-02, eta: 21:07:27, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.7319, top5_acc: 0.9762, loss_cls: 2.5746, loss: 2.5746 2023-12-23 06:16:12,002 - pyskl - INFO - Epoch [7][900/1281] lr: 2.488e-02, eta: 21:07:21, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.7288, top5_acc: 0.9719, loss_cls: 2.5916, loss: 2.5916 2023-12-23 06:16:55,880 - pyskl - INFO - Epoch [7][1000/1281] lr: 2.487e-02, eta: 21:07:32, time: 0.439, data_time: 0.000, memory: 4130, top1_acc: 0.7294, top5_acc: 0.9788, loss_cls: 2.5557, loss: 2.5557 2023-12-23 06:17:39,355 - pyskl - INFO - Epoch [7][1100/1281] lr: 2.487e-02, eta: 21:07:32, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.7256, top5_acc: 0.9794, loss_cls: 2.5632, loss: 2.5632 2023-12-23 06:18:21,958 - pyskl - INFO - Epoch [7][1200/1281] lr: 2.487e-02, eta: 21:07:14, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.7119, top5_acc: 0.9781, loss_cls: 2.5883, loss: 2.5883 2023-12-23 06:18:42,439 - pyskl - INFO - Saving checkpoint at 7 epochs 2023-12-23 06:19:40,919 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:19:40,988 - pyskl - INFO - top1_acc 0.7043 top5_acc 0.9698 2023-12-23 06:19:40,988 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:19:40,997 - pyskl - INFO - mean_acc 0.5856 2023-12-23 06:19:41,002 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_5.pth was removed 2023-12-23 06:19:41,238 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. 2023-12-23 06:19:41,238 - pyskl - INFO - Best top1_acc is 0.7043 at 7 epoch. 2023-12-23 06:19:41,241 - pyskl - INFO - Epoch(val) [7][533] top1_acc: 0.7043, top5_acc: 0.9698, mean_class_accuracy: 0.5856 2023-12-23 06:20:41,474 - pyskl - INFO - Epoch [8][100/1281] lr: 2.486e-02, eta: 21:00:59, time: 0.602, data_time: 0.176, memory: 4130, top1_acc: 0.7606, top5_acc: 0.9806, loss_cls: 2.4573, loss: 2.4573 2023-12-23 06:21:23,856 - pyskl - INFO - Epoch [8][200/1281] lr: 2.486e-02, eta: 21:00:39, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.7556, top5_acc: 0.9800, loss_cls: 2.5025, loss: 2.5025 2023-12-23 06:22:05,725 - pyskl - INFO - Epoch [8][300/1281] lr: 2.486e-02, eta: 21:00:08, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.7481, top5_acc: 0.9719, loss_cls: 2.5612, loss: 2.5612 2023-12-23 06:22:47,566 - pyskl - INFO - Epoch [8][400/1281] lr: 2.485e-02, eta: 20:59:36, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.7456, top5_acc: 0.9862, loss_cls: 2.5146, loss: 2.5146 2023-12-23 06:23:29,939 - pyskl - INFO - Epoch [8][500/1281] lr: 2.485e-02, eta: 20:59:14, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.7481, top5_acc: 0.9812, loss_cls: 2.5435, loss: 2.5435 2023-12-23 06:24:12,397 - pyskl - INFO - Epoch [8][600/1281] lr: 2.485e-02, eta: 20:58:54, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.7538, top5_acc: 0.9844, loss_cls: 2.4861, loss: 2.4861 2023-12-23 06:24:54,170 - pyskl - INFO - Epoch [8][700/1281] lr: 2.484e-02, eta: 20:58:20, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.7444, top5_acc: 0.9838, loss_cls: 2.5135, loss: 2.5135 2023-12-23 06:25:35,780 - pyskl - INFO - Epoch [8][800/1281] lr: 2.484e-02, eta: 20:57:43, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.7275, top5_acc: 0.9844, loss_cls: 2.5528, loss: 2.5528 2023-12-23 06:26:17,489 - pyskl - INFO - Epoch [8][900/1281] lr: 2.484e-02, eta: 20:57:08, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.7431, top5_acc: 0.9769, loss_cls: 2.4935, loss: 2.4935 2023-12-23 06:26:59,255 - pyskl - INFO - Epoch [8][1000/1281] lr: 2.483e-02, eta: 20:56:34, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.7419, top5_acc: 0.9762, loss_cls: 2.5061, loss: 2.5061 2023-12-23 06:27:40,899 - pyskl - INFO - Epoch [8][1100/1281] lr: 2.483e-02, eta: 20:55:57, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.7419, top5_acc: 0.9750, loss_cls: 2.5806, loss: 2.5806 2023-12-23 06:28:22,710 - pyskl - INFO - Epoch [8][1200/1281] lr: 2.483e-02, eta: 20:55:23, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.7356, top5_acc: 0.9781, loss_cls: 2.5804, loss: 2.5804 2023-12-23 06:28:43,323 - pyskl - INFO - Saving checkpoint at 8 epochs 2023-12-23 06:29:42,603 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:29:42,661 - pyskl - INFO - top1_acc 0.6844 top5_acc 0.9678 2023-12-23 06:29:42,661 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:29:42,669 - pyskl - INFO - mean_acc 0.5781 2023-12-23 06:29:42,671 - pyskl - INFO - Epoch(val) [8][533] top1_acc: 0.6844, top5_acc: 0.9678, mean_class_accuracy: 0.5781 2023-12-23 06:30:45,299 - pyskl - INFO - Epoch [9][100/1281] lr: 2.482e-02, eta: 20:50:32, time: 0.626, data_time: 0.206, memory: 4130, top1_acc: 0.7669, top5_acc: 0.9862, loss_cls: 2.4373, loss: 2.4373 2023-12-23 06:31:27,094 - pyskl - INFO - Epoch [9][200/1281] lr: 2.482e-02, eta: 20:50:00, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.7556, top5_acc: 0.9856, loss_cls: 2.4798, loss: 2.4798 2023-12-23 06:32:08,812 - pyskl - INFO - Epoch [9][300/1281] lr: 2.481e-02, eta: 20:49:26, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.7588, top5_acc: 0.9869, loss_cls: 2.4960, loss: 2.4960 2023-12-23 06:32:50,498 - pyskl - INFO - Epoch [9][400/1281] lr: 2.481e-02, eta: 20:48:52, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.7594, top5_acc: 0.9856, loss_cls: 2.5193, loss: 2.5193 2023-12-23 06:33:32,119 - pyskl - INFO - Epoch [9][500/1281] lr: 2.481e-02, eta: 20:48:16, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.7462, top5_acc: 0.9825, loss_cls: 2.5420, loss: 2.5420 2023-12-23 06:34:13,832 - pyskl - INFO - Epoch [9][600/1281] lr: 2.480e-02, eta: 20:47:42, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.7562, top5_acc: 0.9850, loss_cls: 2.4909, loss: 2.4909 2023-12-23 06:34:55,649 - pyskl - INFO - Epoch [9][700/1281] lr: 2.480e-02, eta: 20:47:10, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.7631, top5_acc: 0.9825, loss_cls: 2.4870, loss: 2.4870 2023-12-23 06:35:37,392 - pyskl - INFO - Epoch [9][800/1281] lr: 2.480e-02, eta: 20:46:36, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.7575, top5_acc: 0.9838, loss_cls: 2.5067, loss: 2.5067 2023-12-23 06:36:19,557 - pyskl - INFO - Epoch [9][900/1281] lr: 2.479e-02, eta: 20:46:08, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.7788, top5_acc: 0.9875, loss_cls: 2.4461, loss: 2.4461 2023-12-23 06:37:01,686 - pyskl - INFO - Epoch [9][1000/1281] lr: 2.479e-02, eta: 20:45:40, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.7688, top5_acc: 0.9825, loss_cls: 2.4424, loss: 2.4424 2023-12-23 06:37:43,591 - pyskl - INFO - Epoch [9][1100/1281] lr: 2.479e-02, eta: 20:45:08, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.7562, top5_acc: 0.9769, loss_cls: 2.5255, loss: 2.5255 2023-12-23 06:38:25,179 - pyskl - INFO - Epoch [9][1200/1281] lr: 2.478e-02, eta: 20:44:31, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.7450, top5_acc: 0.9844, loss_cls: 2.5103, loss: 2.5103 2023-12-23 06:38:45,107 - pyskl - INFO - Saving checkpoint at 9 epochs 2023-12-23 06:39:42,110 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:39:42,171 - pyskl - INFO - top1_acc 0.7674 top5_acc 0.9811 2023-12-23 06:39:42,171 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:39:42,179 - pyskl - INFO - mean_acc 0.6540 2023-12-23 06:39:42,183 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_7.pth was removed 2023-12-23 06:39:42,390 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. 2023-12-23 06:39:42,390 - pyskl - INFO - Best top1_acc is 0.7674 at 9 epoch. 2023-12-23 06:39:42,393 - pyskl - INFO - Epoch(val) [9][533] top1_acc: 0.7674, top5_acc: 0.9811, mean_class_accuracy: 0.6540 2023-12-23 06:40:42,237 - pyskl - INFO - Epoch [10][100/1281] lr: 2.477e-02, eta: 20:39:24, time: 0.598, data_time: 0.173, memory: 4130, top1_acc: 0.7688, top5_acc: 0.9888, loss_cls: 2.4315, loss: 2.4315 2023-12-23 06:41:24,935 - pyskl - INFO - Epoch [10][200/1281] lr: 2.477e-02, eta: 20:39:06, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.7594, top5_acc: 0.9844, loss_cls: 2.4749, loss: 2.4749 2023-12-23 06:42:07,644 - pyskl - INFO - Epoch [10][300/1281] lr: 2.477e-02, eta: 20:38:48, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.7744, top5_acc: 0.9875, loss_cls: 2.4485, loss: 2.4485 2023-12-23 06:42:51,109 - pyskl - INFO - Epoch [10][400/1281] lr: 2.476e-02, eta: 20:38:40, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.7731, top5_acc: 0.9869, loss_cls: 2.4729, loss: 2.4729 2023-12-23 06:43:33,866 - pyskl - INFO - Epoch [10][500/1281] lr: 2.476e-02, eta: 20:38:22, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.7644, top5_acc: 0.9844, loss_cls: 2.4709, loss: 2.4709 2023-12-23 06:44:15,815 - pyskl - INFO - Epoch [10][600/1281] lr: 2.476e-02, eta: 20:37:51, time: 0.419, data_time: 0.001, memory: 4130, top1_acc: 0.7812, top5_acc: 0.9856, loss_cls: 2.4493, loss: 2.4493 2023-12-23 06:44:57,608 - pyskl - INFO - Epoch [10][700/1281] lr: 2.475e-02, eta: 20:37:17, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.7569, top5_acc: 0.9812, loss_cls: 2.4842, loss: 2.4842 2023-12-23 06:45:39,395 - pyskl - INFO - Epoch [10][800/1281] lr: 2.475e-02, eta: 20:36:44, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.7675, top5_acc: 0.9806, loss_cls: 2.4684, loss: 2.4684 2023-12-23 06:46:21,009 - pyskl - INFO - Epoch [10][900/1281] lr: 2.474e-02, eta: 20:36:08, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.7831, top5_acc: 0.9800, loss_cls: 2.4300, loss: 2.4300 2023-12-23 06:47:02,647 - pyskl - INFO - Epoch [10][1000/1281] lr: 2.474e-02, eta: 20:35:32, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.7769, top5_acc: 0.9838, loss_cls: 2.4095, loss: 2.4095 2023-12-23 06:47:44,376 - pyskl - INFO - Epoch [10][1100/1281] lr: 2.473e-02, eta: 20:34:57, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.7863, top5_acc: 0.9925, loss_cls: 2.3958, loss: 2.3958 2023-12-23 06:48:26,255 - pyskl - INFO - Epoch [10][1200/1281] lr: 2.473e-02, eta: 20:34:24, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.7806, top5_acc: 0.9800, loss_cls: 2.4120, loss: 2.4120 2023-12-23 06:48:45,929 - pyskl - INFO - Saving checkpoint at 10 epochs 2023-12-23 06:49:44,723 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:49:44,784 - pyskl - INFO - top1_acc 0.6619 top5_acc 0.9592 2023-12-23 06:49:44,784 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:49:44,793 - pyskl - INFO - mean_acc 0.5652 2023-12-23 06:49:44,795 - pyskl - INFO - Epoch(val) [10][533] top1_acc: 0.6619, top5_acc: 0.9592, mean_class_accuracy: 0.5652 2023-12-23 06:50:47,246 - pyskl - INFO - Epoch [11][100/1281] lr: 2.472e-02, eta: 20:30:19, time: 0.624, data_time: 0.205, memory: 4130, top1_acc: 0.7725, top5_acc: 0.9875, loss_cls: 2.4399, loss: 2.4399 2023-12-23 06:51:29,556 - pyskl - INFO - Epoch [11][200/1281] lr: 2.472e-02, eta: 20:29:53, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.7831, top5_acc: 0.9869, loss_cls: 2.4262, loss: 2.4262 2023-12-23 06:52:12,241 - pyskl - INFO - Epoch [11][300/1281] lr: 2.471e-02, eta: 20:29:32, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.7831, top5_acc: 0.9925, loss_cls: 2.3808, loss: 2.3808 2023-12-23 06:52:54,075 - pyskl - INFO - Epoch [11][400/1281] lr: 2.471e-02, eta: 20:29:00, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.7756, top5_acc: 0.9838, loss_cls: 2.4474, loss: 2.4474 2023-12-23 06:53:35,784 - pyskl - INFO - Epoch [11][500/1281] lr: 2.471e-02, eta: 20:28:25, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.7488, top5_acc: 0.9806, loss_cls: 2.5418, loss: 2.5418 2023-12-23 06:54:18,189 - pyskl - INFO - Epoch [11][600/1281] lr: 2.470e-02, eta: 20:28:00, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8081, top5_acc: 0.9869, loss_cls: 2.3568, loss: 2.3568 2023-12-23 06:55:00,956 - pyskl - INFO - Epoch [11][700/1281] lr: 2.470e-02, eta: 20:27:39, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.7725, top5_acc: 0.9856, loss_cls: 2.4592, loss: 2.4592 2023-12-23 06:55:43,843 - pyskl - INFO - Epoch [11][800/1281] lr: 2.469e-02, eta: 20:27:20, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.7987, top5_acc: 0.9881, loss_cls: 2.4060, loss: 2.4060 2023-12-23 06:56:27,589 - pyskl - INFO - Epoch [11][900/1281] lr: 2.469e-02, eta: 20:27:11, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.7781, top5_acc: 0.9856, loss_cls: 2.4471, loss: 2.4471 2023-12-23 06:57:11,365 - pyskl - INFO - Epoch [11][1000/1281] lr: 2.468e-02, eta: 20:27:02, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 0.7669, top5_acc: 0.9800, loss_cls: 2.4611, loss: 2.4611 2023-12-23 06:57:54,049 - pyskl - INFO - Epoch [11][1100/1281] lr: 2.468e-02, eta: 20:26:39, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.7569, top5_acc: 0.9838, loss_cls: 2.4937, loss: 2.4937 2023-12-23 06:58:36,666 - pyskl - INFO - Epoch [11][1200/1281] lr: 2.467e-02, eta: 20:26:14, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.7656, top5_acc: 0.9819, loss_cls: 2.4618, loss: 2.4618 2023-12-23 06:58:58,604 - pyskl - INFO - Saving checkpoint at 11 epochs 2023-12-23 06:59:56,930 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 06:59:56,991 - pyskl - INFO - top1_acc 0.7325 top5_acc 0.9728 2023-12-23 06:59:56,991 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 06:59:57,000 - pyskl - INFO - mean_acc 0.6186 2023-12-23 06:59:57,003 - pyskl - INFO - Epoch(val) [11][533] top1_acc: 0.7325, top5_acc: 0.9728, mean_class_accuracy: 0.6186 2023-12-23 07:00:56,790 - pyskl - INFO - Epoch [12][100/1281] lr: 2.467e-02, eta: 20:21:52, time: 0.598, data_time: 0.172, memory: 4130, top1_acc: 0.7825, top5_acc: 0.9925, loss_cls: 2.3786, loss: 2.3786 2023-12-23 07:01:39,564 - pyskl - INFO - Epoch [12][200/1281] lr: 2.466e-02, eta: 20:21:30, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.7850, top5_acc: 0.9925, loss_cls: 2.3888, loss: 2.3888 2023-12-23 07:02:22,388 - pyskl - INFO - Epoch [12][300/1281] lr: 2.466e-02, eta: 20:21:09, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.7987, top5_acc: 0.9888, loss_cls: 2.3672, loss: 2.3672 2023-12-23 07:03:04,760 - pyskl - INFO - Epoch [12][400/1281] lr: 2.465e-02, eta: 20:20:42, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.7812, top5_acc: 0.9906, loss_cls: 2.4105, loss: 2.4105 2023-12-23 07:03:47,212 - pyskl - INFO - Epoch [12][500/1281] lr: 2.465e-02, eta: 20:20:15, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8019, top5_acc: 0.9844, loss_cls: 2.3871, loss: 2.3871 2023-12-23 07:04:29,198 - pyskl - INFO - Epoch [12][600/1281] lr: 2.464e-02, eta: 20:19:43, time: 0.420, data_time: 0.001, memory: 4130, top1_acc: 0.8013, top5_acc: 0.9906, loss_cls: 2.3746, loss: 2.3746 2023-12-23 07:05:11,080 - pyskl - INFO - Epoch [12][700/1281] lr: 2.464e-02, eta: 20:19:10, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8006, top5_acc: 0.9894, loss_cls: 2.3804, loss: 2.3804 2023-12-23 07:05:53,054 - pyskl - INFO - Epoch [12][800/1281] lr: 2.463e-02, eta: 20:18:37, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.7887, top5_acc: 0.9881, loss_cls: 2.3967, loss: 2.3967 2023-12-23 07:06:35,696 - pyskl - INFO - Epoch [12][900/1281] lr: 2.463e-02, eta: 20:18:12, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.7844, top5_acc: 0.9862, loss_cls: 2.4067, loss: 2.4067 2023-12-23 07:07:18,391 - pyskl - INFO - Epoch [12][1000/1281] lr: 2.462e-02, eta: 20:17:48, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.7731, top5_acc: 0.9881, loss_cls: 2.4323, loss: 2.4323 2023-12-23 07:08:01,297 - pyskl - INFO - Epoch [12][1100/1281] lr: 2.462e-02, eta: 20:17:26, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.7969, top5_acc: 0.9881, loss_cls: 2.3824, loss: 2.3824 2023-12-23 07:08:43,997 - pyskl - INFO - Epoch [12][1200/1281] lr: 2.461e-02, eta: 20:17:01, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.7956, top5_acc: 0.9844, loss_cls: 2.3969, loss: 2.3969 2023-12-23 07:09:04,722 - pyskl - INFO - Saving checkpoint at 12 epochs 2023-12-23 07:10:04,073 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 07:10:04,136 - pyskl - INFO - top1_acc 0.7497 top5_acc 0.9827 2023-12-23 07:10:04,136 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 07:10:04,143 - pyskl - INFO - mean_acc 0.6558 2023-12-23 07:10:04,145 - pyskl - INFO - Epoch(val) [12][533] top1_acc: 0.7497, top5_acc: 0.9827, mean_class_accuracy: 0.6558 2023-12-23 07:11:04,336 - pyskl - INFO - Epoch [13][100/1281] lr: 2.460e-02, eta: 20:13:00, time: 0.602, data_time: 0.181, memory: 4130, top1_acc: 0.7863, top5_acc: 0.9850, loss_cls: 2.3890, loss: 2.3890 2023-12-23 07:11:46,194 - pyskl - INFO - Epoch [13][200/1281] lr: 2.460e-02, eta: 20:12:26, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8006, top5_acc: 0.9912, loss_cls: 2.3600, loss: 2.3600 2023-12-23 07:12:28,086 - pyskl - INFO - Epoch [13][300/1281] lr: 2.459e-02, eta: 20:11:53, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8037, top5_acc: 0.9894, loss_cls: 2.3282, loss: 2.3282 2023-12-23 07:13:10,072 - pyskl - INFO - Epoch [13][400/1281] lr: 2.459e-02, eta: 20:11:20, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.7956, top5_acc: 0.9931, loss_cls: 2.3924, loss: 2.3924 2023-12-23 07:13:52,094 - pyskl - INFO - Epoch [13][500/1281] lr: 2.458e-02, eta: 20:10:48, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.7875, top5_acc: 0.9875, loss_cls: 2.3759, loss: 2.3759 2023-12-23 07:14:33,972 - pyskl - INFO - Epoch [13][600/1281] lr: 2.458e-02, eta: 20:10:14, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8019, top5_acc: 0.9831, loss_cls: 2.4121, loss: 2.4121 2023-12-23 07:15:15,792 - pyskl - INFO - Epoch [13][700/1281] lr: 2.457e-02, eta: 20:09:40, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.7981, top5_acc: 0.9856, loss_cls: 2.3805, loss: 2.3805 2023-12-23 07:15:57,647 - pyskl - INFO - Epoch [13][800/1281] lr: 2.457e-02, eta: 20:09:05, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.7900, top5_acc: 0.9844, loss_cls: 2.4515, loss: 2.4515 2023-12-23 07:16:39,754 - pyskl - INFO - Epoch [13][900/1281] lr: 2.456e-02, eta: 20:08:34, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.7969, top5_acc: 0.9900, loss_cls: 2.3392, loss: 2.3392 2023-12-23 07:17:21,739 - pyskl - INFO - Epoch [13][1000/1281] lr: 2.455e-02, eta: 20:08:01, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.8006, top5_acc: 0.9881, loss_cls: 2.3638, loss: 2.3638 2023-12-23 07:18:04,713 - pyskl - INFO - Epoch [13][1100/1281] lr: 2.455e-02, eta: 20:07:38, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.7900, top5_acc: 0.9812, loss_cls: 2.4346, loss: 2.4346 2023-12-23 07:18:47,780 - pyskl - INFO - Epoch [13][1200/1281] lr: 2.454e-02, eta: 20:07:16, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.8200, top5_acc: 0.9875, loss_cls: 2.3327, loss: 2.3327 2023-12-23 07:19:07,381 - pyskl - INFO - Saving checkpoint at 13 epochs 2023-12-23 07:20:04,956 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 07:20:05,012 - pyskl - INFO - top1_acc 0.7713 top5_acc 0.9806 2023-12-23 07:20:05,012 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 07:20:05,020 - pyskl - INFO - mean_acc 0.6846 2023-12-23 07:20:05,025 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_9.pth was removed 2023-12-23 07:20:05,213 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. 2023-12-23 07:20:05,214 - pyskl - INFO - Best top1_acc is 0.7713 at 13 epoch. 2023-12-23 07:20:05,217 - pyskl - INFO - Epoch(val) [13][533] top1_acc: 0.7713, top5_acc: 0.9806, mean_class_accuracy: 0.6846 2023-12-23 07:21:06,714 - pyskl - INFO - Epoch [14][100/1281] lr: 2.453e-02, eta: 20:03:43, time: 0.615, data_time: 0.184, memory: 4130, top1_acc: 0.8037, top5_acc: 0.9919, loss_cls: 2.3281, loss: 2.3281 2023-12-23 07:21:49,753 - pyskl - INFO - Epoch [14][200/1281] lr: 2.453e-02, eta: 20:03:21, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.8137, top5_acc: 0.9931, loss_cls: 2.3043, loss: 2.3043 2023-12-23 07:22:32,680 - pyskl - INFO - Epoch [14][300/1281] lr: 2.452e-02, eta: 20:02:58, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8181, top5_acc: 0.9869, loss_cls: 2.3432, loss: 2.3432 2023-12-23 07:23:14,508 - pyskl - INFO - Epoch [14][400/1281] lr: 2.452e-02, eta: 20:02:23, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.8187, top5_acc: 0.9875, loss_cls: 2.3196, loss: 2.3196 2023-12-23 07:23:56,329 - pyskl - INFO - Epoch [14][500/1281] lr: 2.451e-02, eta: 20:01:49, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.8206, top5_acc: 0.9875, loss_cls: 2.3350, loss: 2.3350 2023-12-23 07:24:38,321 - pyskl - INFO - Epoch [14][600/1281] lr: 2.451e-02, eta: 20:01:15, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.7837, top5_acc: 0.9856, loss_cls: 2.4013, loss: 2.4013 2023-12-23 07:25:20,394 - pyskl - INFO - Epoch [14][700/1281] lr: 2.450e-02, eta: 20:00:43, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.7931, top5_acc: 0.9912, loss_cls: 2.3966, loss: 2.3966 2023-12-23 07:26:02,395 - pyskl - INFO - Epoch [14][800/1281] lr: 2.449e-02, eta: 20:00:09, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.7950, top5_acc: 0.9838, loss_cls: 2.3640, loss: 2.3640 2023-12-23 07:26:44,297 - pyskl - INFO - Epoch [14][900/1281] lr: 2.449e-02, eta: 19:59:35, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8013, top5_acc: 0.9912, loss_cls: 2.3732, loss: 2.3732 2023-12-23 07:27:26,264 - pyskl - INFO - Epoch [14][1000/1281] lr: 2.448e-02, eta: 19:59:01, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.8163, top5_acc: 0.9844, loss_cls: 2.3550, loss: 2.3550 2023-12-23 07:28:09,463 - pyskl - INFO - Epoch [14][1100/1281] lr: 2.448e-02, eta: 19:58:39, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8100, top5_acc: 0.9869, loss_cls: 2.3505, loss: 2.3505 2023-12-23 07:28:52,363 - pyskl - INFO - Epoch [14][1200/1281] lr: 2.447e-02, eta: 19:58:14, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.8206, top5_acc: 0.9906, loss_cls: 2.3174, loss: 2.3174 2023-12-23 07:29:12,619 - pyskl - INFO - Saving checkpoint at 14 epochs 2023-12-23 07:30:10,771 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 07:30:10,847 - pyskl - INFO - top1_acc 0.7555 top5_acc 0.9778 2023-12-23 07:30:10,847 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 07:30:10,858 - pyskl - INFO - mean_acc 0.6473 2023-12-23 07:30:10,863 - pyskl - INFO - Epoch(val) [14][533] top1_acc: 0.7555, top5_acc: 0.9778, mean_class_accuracy: 0.6473 2023-12-23 07:31:09,816 - pyskl - INFO - Epoch [15][100/1281] lr: 2.446e-02, eta: 19:54:28, time: 0.589, data_time: 0.171, memory: 4130, top1_acc: 0.8056, top5_acc: 0.9919, loss_cls: 2.3245, loss: 2.3245 2023-12-23 07:31:51,724 - pyskl - INFO - Epoch [15][200/1281] lr: 2.445e-02, eta: 19:53:54, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8156, top5_acc: 0.9888, loss_cls: 2.3441, loss: 2.3441 2023-12-23 07:32:33,605 - pyskl - INFO - Epoch [15][300/1281] lr: 2.445e-02, eta: 19:53:19, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8131, top5_acc: 0.9912, loss_cls: 2.3482, loss: 2.3482 2023-12-23 07:33:16,227 - pyskl - INFO - Epoch [15][400/1281] lr: 2.444e-02, eta: 19:52:52, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.8006, top5_acc: 0.9912, loss_cls: 2.3244, loss: 2.3244 2023-12-23 07:33:59,386 - pyskl - INFO - Epoch [15][500/1281] lr: 2.444e-02, eta: 19:52:30, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.7900, top5_acc: 0.9894, loss_cls: 2.3848, loss: 2.3848 2023-12-23 07:34:42,079 - pyskl - INFO - Epoch [15][600/1281] lr: 2.443e-02, eta: 19:52:02, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.8187, top5_acc: 0.9906, loss_cls: 2.3128, loss: 2.3128 2023-12-23 07:35:25,188 - pyskl - INFO - Epoch [15][700/1281] lr: 2.442e-02, eta: 19:51:39, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.7950, top5_acc: 0.9900, loss_cls: 2.3650, loss: 2.3650 2023-12-23 07:36:08,430 - pyskl - INFO - Epoch [15][800/1281] lr: 2.442e-02, eta: 19:51:17, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9925, loss_cls: 2.3031, loss: 2.3031 2023-12-23 07:36:51,700 - pyskl - INFO - Epoch [15][900/1281] lr: 2.441e-02, eta: 19:50:54, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.8206, top5_acc: 0.9900, loss_cls: 2.3211, loss: 2.3211 2023-12-23 07:37:34,898 - pyskl - INFO - Epoch [15][1000/1281] lr: 2.441e-02, eta: 19:50:31, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8175, top5_acc: 0.9900, loss_cls: 2.2908, loss: 2.2908 2023-12-23 07:38:17,635 - pyskl - INFO - Epoch [15][1100/1281] lr: 2.440e-02, eta: 19:50:03, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.8206, top5_acc: 0.9856, loss_cls: 2.3286, loss: 2.3286 2023-12-23 07:39:00,797 - pyskl - INFO - Epoch [15][1200/1281] lr: 2.439e-02, eta: 19:49:40, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8025, top5_acc: 0.9850, loss_cls: 2.3855, loss: 2.3855 2023-12-23 07:39:20,631 - pyskl - INFO - Saving checkpoint at 15 epochs 2023-12-23 07:40:18,488 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 07:40:18,549 - pyskl - INFO - top1_acc 0.7646 top5_acc 0.9793 2023-12-23 07:40:18,549 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 07:40:18,557 - pyskl - INFO - mean_acc 0.6813 2023-12-23 07:40:18,560 - pyskl - INFO - Epoch(val) [15][533] top1_acc: 0.7646, top5_acc: 0.9793, mean_class_accuracy: 0.6813 2023-12-23 07:41:20,276 - pyskl - INFO - Epoch [16][100/1281] lr: 2.438e-02, eta: 19:46:29, time: 0.617, data_time: 0.186, memory: 4130, top1_acc: 0.8450, top5_acc: 0.9894, loss_cls: 2.2820, loss: 2.2820 2023-12-23 07:42:02,976 - pyskl - INFO - Epoch [16][200/1281] lr: 2.438e-02, eta: 19:46:01, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.8231, top5_acc: 0.9888, loss_cls: 2.3109, loss: 2.3109 2023-12-23 07:42:46,205 - pyskl - INFO - Epoch [16][300/1281] lr: 2.437e-02, eta: 19:45:38, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8256, top5_acc: 0.9912, loss_cls: 2.2778, loss: 2.2778 2023-12-23 07:43:28,516 - pyskl - INFO - Epoch [16][400/1281] lr: 2.436e-02, eta: 19:45:06, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.8013, top5_acc: 0.9912, loss_cls: 2.3667, loss: 2.3667 2023-12-23 07:44:10,274 - pyskl - INFO - Epoch [16][500/1281] lr: 2.436e-02, eta: 19:44:30, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.8119, top5_acc: 0.9888, loss_cls: 2.3310, loss: 2.3310 2023-12-23 07:44:52,207 - pyskl - INFO - Epoch [16][600/1281] lr: 2.435e-02, eta: 19:43:55, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8319, top5_acc: 0.9881, loss_cls: 2.3061, loss: 2.3061 2023-12-23 07:45:34,026 - pyskl - INFO - Epoch [16][700/1281] lr: 2.434e-02, eta: 19:43:19, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.8181, top5_acc: 0.9844, loss_cls: 2.3322, loss: 2.3322 2023-12-23 07:46:15,948 - pyskl - INFO - Epoch [16][800/1281] lr: 2.434e-02, eta: 19:42:44, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.7919, top5_acc: 0.9819, loss_cls: 2.3837, loss: 2.3837 2023-12-23 07:46:57,981 - pyskl - INFO - Epoch [16][900/1281] lr: 2.433e-02, eta: 19:42:09, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9881, loss_cls: 2.3369, loss: 2.3369 2023-12-23 07:47:39,832 - pyskl - INFO - Epoch [16][1000/1281] lr: 2.432e-02, eta: 19:41:33, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.8163, top5_acc: 0.9869, loss_cls: 2.3576, loss: 2.3576 2023-12-23 07:48:21,713 - pyskl - INFO - Epoch [16][1100/1281] lr: 2.432e-02, eta: 19:40:58, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8169, top5_acc: 0.9919, loss_cls: 2.3358, loss: 2.3358 2023-12-23 07:49:03,579 - pyskl - INFO - Epoch [16][1200/1281] lr: 2.431e-02, eta: 19:40:22, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8181, top5_acc: 0.9925, loss_cls: 2.2897, loss: 2.2897 2023-12-23 07:49:22,656 - pyskl - INFO - Saving checkpoint at 16 epochs 2023-12-23 07:50:20,228 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 07:50:20,296 - pyskl - INFO - top1_acc 0.7413 top5_acc 0.9735 2023-12-23 07:50:20,296 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 07:50:20,306 - pyskl - INFO - mean_acc 0.6304 2023-12-23 07:50:20,309 - pyskl - INFO - Epoch(val) [16][533] top1_acc: 0.7413, top5_acc: 0.9735, mean_class_accuracy: 0.6304 2023-12-23 07:51:21,695 - pyskl - INFO - Epoch [17][100/1281] lr: 2.430e-02, eta: 19:37:17, time: 0.614, data_time: 0.182, memory: 4130, top1_acc: 0.8219, top5_acc: 0.9962, loss_cls: 2.2849, loss: 2.2849 2023-12-23 07:52:04,613 - pyskl - INFO - Epoch [17][200/1281] lr: 2.429e-02, eta: 19:36:50, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.8475, top5_acc: 0.9938, loss_cls: 2.2467, loss: 2.2467 2023-12-23 07:52:47,290 - pyskl - INFO - Epoch [17][300/1281] lr: 2.428e-02, eta: 19:36:21, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.8244, top5_acc: 0.9875, loss_cls: 2.2974, loss: 2.2974 2023-12-23 07:53:30,403 - pyskl - INFO - Epoch [17][400/1281] lr: 2.428e-02, eta: 19:35:55, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.8219, top5_acc: 0.9894, loss_cls: 2.3098, loss: 2.3098 2023-12-23 07:54:13,246 - pyskl - INFO - Epoch [17][500/1281] lr: 2.427e-02, eta: 19:35:28, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.7969, top5_acc: 0.9888, loss_cls: 2.3698, loss: 2.3698 2023-12-23 07:54:56,356 - pyskl - INFO - Epoch [17][600/1281] lr: 2.426e-02, eta: 19:35:02, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.8056, top5_acc: 0.9906, loss_cls: 2.3870, loss: 2.3870 2023-12-23 07:55:39,266 - pyskl - INFO - Epoch [17][700/1281] lr: 2.426e-02, eta: 19:34:34, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.8150, top5_acc: 0.9888, loss_cls: 2.3420, loss: 2.3420 2023-12-23 07:56:22,096 - pyskl - INFO - Epoch [17][800/1281] lr: 2.425e-02, eta: 19:34:06, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.8219, top5_acc: 0.9888, loss_cls: 2.3168, loss: 2.3168 2023-12-23 07:57:04,202 - pyskl - INFO - Epoch [17][900/1281] lr: 2.424e-02, eta: 19:33:32, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.8163, top5_acc: 0.9906, loss_cls: 2.3122, loss: 2.3122 2023-12-23 07:57:46,590 - pyskl - INFO - Epoch [17][1000/1281] lr: 2.424e-02, eta: 19:33:00, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.7894, top5_acc: 0.9906, loss_cls: 2.3971, loss: 2.3971 2023-12-23 07:58:28,975 - pyskl - INFO - Epoch [17][1100/1281] lr: 2.423e-02, eta: 19:32:27, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8181, top5_acc: 0.9881, loss_cls: 2.3122, loss: 2.3122 2023-12-23 07:59:11,425 - pyskl - INFO - Epoch [17][1200/1281] lr: 2.422e-02, eta: 19:31:56, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8313, top5_acc: 0.9906, loss_cls: 2.2682, loss: 2.2682 2023-12-23 07:59:31,947 - pyskl - INFO - Saving checkpoint at 17 epochs 2023-12-23 08:00:35,355 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:00:35,432 - pyskl - INFO - top1_acc 0.7611 top5_acc 0.9764 2023-12-23 08:00:35,432 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:00:35,448 - pyskl - INFO - mean_acc 0.6486 2023-12-23 08:00:35,454 - pyskl - INFO - Epoch(val) [17][533] top1_acc: 0.7611, top5_acc: 0.9764, mean_class_accuracy: 0.6486 2023-12-23 08:01:40,833 - pyskl - INFO - Epoch [18][100/1281] lr: 2.421e-02, eta: 19:29:29, time: 0.654, data_time: 0.225, memory: 4130, top1_acc: 0.8200, top5_acc: 0.9912, loss_cls: 2.3010, loss: 2.3010 2023-12-23 08:02:24,831 - pyskl - INFO - Epoch [18][200/1281] lr: 2.420e-02, eta: 19:29:09, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.8281, top5_acc: 0.9931, loss_cls: 2.2758, loss: 2.2758 2023-12-23 08:03:08,141 - pyskl - INFO - Epoch [18][300/1281] lr: 2.419e-02, eta: 19:28:44, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8313, top5_acc: 0.9969, loss_cls: 2.2463, loss: 2.2463 2023-12-23 08:03:50,972 - pyskl - INFO - Epoch [18][400/1281] lr: 2.419e-02, eta: 19:28:15, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.8319, top5_acc: 0.9944, loss_cls: 2.2714, loss: 2.2714 2023-12-23 08:04:33,392 - pyskl - INFO - Epoch [18][500/1281] lr: 2.418e-02, eta: 19:27:42, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9869, loss_cls: 2.3127, loss: 2.3127 2023-12-23 08:05:15,860 - pyskl - INFO - Epoch [18][600/1281] lr: 2.417e-02, eta: 19:27:10, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8413, top5_acc: 0.9919, loss_cls: 2.2702, loss: 2.2702 2023-12-23 08:05:57,729 - pyskl - INFO - Epoch [18][700/1281] lr: 2.417e-02, eta: 19:26:34, time: 0.419, data_time: 0.001, memory: 4130, top1_acc: 0.8319, top5_acc: 0.9950, loss_cls: 2.2676, loss: 2.2676 2023-12-23 08:06:40,736 - pyskl - INFO - Epoch [18][800/1281] lr: 2.416e-02, eta: 19:26:06, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8313, top5_acc: 0.9944, loss_cls: 2.2653, loss: 2.2653 2023-12-23 08:07:25,017 - pyskl - INFO - Epoch [18][900/1281] lr: 2.415e-02, eta: 19:25:47, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.7969, top5_acc: 0.9869, loss_cls: 2.3689, loss: 2.3689 2023-12-23 08:08:07,942 - pyskl - INFO - Epoch [18][1000/1281] lr: 2.414e-02, eta: 19:25:18, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8369, top5_acc: 0.9869, loss_cls: 2.3018, loss: 2.3018 2023-12-23 08:08:50,456 - pyskl - INFO - Epoch [18][1100/1281] lr: 2.414e-02, eta: 19:24:46, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.8219, top5_acc: 0.9869, loss_cls: 2.3364, loss: 2.3364 2023-12-23 08:09:32,752 - pyskl - INFO - Epoch [18][1200/1281] lr: 2.413e-02, eta: 19:24:12, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9888, loss_cls: 2.3003, loss: 2.3003 2023-12-23 08:09:54,160 - pyskl - INFO - Saving checkpoint at 18 epochs 2023-12-23 08:10:56,363 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:10:56,421 - pyskl - INFO - top1_acc 0.7290 top5_acc 0.9732 2023-12-23 08:10:56,421 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:10:56,430 - pyskl - INFO - mean_acc 0.6222 2023-12-23 08:10:56,434 - pyskl - INFO - Epoch(val) [18][533] top1_acc: 0.7290, top5_acc: 0.9732, mean_class_accuracy: 0.6222 2023-12-23 08:12:01,969 - pyskl - INFO - Epoch [19][100/1281] lr: 2.411e-02, eta: 19:21:50, time: 0.655, data_time: 0.229, memory: 4130, top1_acc: 0.8356, top5_acc: 0.9950, loss_cls: 2.2647, loss: 2.2647 2023-12-23 08:12:45,100 - pyskl - INFO - Epoch [19][200/1281] lr: 2.411e-02, eta: 19:21:23, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.8444, top5_acc: 0.9962, loss_cls: 2.2161, loss: 2.2161 2023-12-23 08:13:27,816 - pyskl - INFO - Epoch [19][300/1281] lr: 2.410e-02, eta: 19:20:52, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8356, top5_acc: 0.9931, loss_cls: 2.2868, loss: 2.2868 2023-12-23 08:14:11,814 - pyskl - INFO - Epoch [19][400/1281] lr: 2.409e-02, eta: 19:20:30, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.8488, top5_acc: 0.9919, loss_cls: 2.2579, loss: 2.2579 2023-12-23 08:14:55,039 - pyskl - INFO - Epoch [19][500/1281] lr: 2.408e-02, eta: 19:20:03, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8431, top5_acc: 0.9912, loss_cls: 2.2534, loss: 2.2534 2023-12-23 08:15:39,431 - pyskl - INFO - Epoch [19][600/1281] lr: 2.408e-02, eta: 19:19:44, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8325, top5_acc: 0.9881, loss_cls: 2.3149, loss: 2.3149 2023-12-23 08:16:22,664 - pyskl - INFO - Epoch [19][700/1281] lr: 2.407e-02, eta: 19:19:16, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8275, top5_acc: 0.9881, loss_cls: 2.2759, loss: 2.2759 2023-12-23 08:17:04,995 - pyskl - INFO - Epoch [19][800/1281] lr: 2.406e-02, eta: 19:18:42, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8206, top5_acc: 0.9900, loss_cls: 2.3241, loss: 2.3241 2023-12-23 08:17:48,866 - pyskl - INFO - Epoch [19][900/1281] lr: 2.405e-02, eta: 19:18:19, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8144, top5_acc: 0.9931, loss_cls: 2.3244, loss: 2.3244 2023-12-23 08:18:32,448 - pyskl - INFO - Epoch [19][1000/1281] lr: 2.405e-02, eta: 19:17:53, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8206, top5_acc: 0.9906, loss_cls: 2.2929, loss: 2.2929 2023-12-23 08:19:15,965 - pyskl - INFO - Epoch [19][1100/1281] lr: 2.404e-02, eta: 19:17:27, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.8106, top5_acc: 0.9856, loss_cls: 2.3278, loss: 2.3278 2023-12-23 08:20:00,173 - pyskl - INFO - Epoch [19][1200/1281] lr: 2.403e-02, eta: 19:17:05, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8125, top5_acc: 0.9894, loss_cls: 2.2896, loss: 2.2896 2023-12-23 08:20:21,627 - pyskl - INFO - Saving checkpoint at 19 epochs 2023-12-23 08:21:25,352 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:21:25,425 - pyskl - INFO - top1_acc 0.7848 top5_acc 0.9803 2023-12-23 08:21:25,426 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:21:25,448 - pyskl - INFO - mean_acc 0.7148 2023-12-23 08:21:25,462 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_13.pth was removed 2023-12-23 08:21:25,666 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. 2023-12-23 08:21:25,666 - pyskl - INFO - Best top1_acc is 0.7848 at 19 epoch. 2023-12-23 08:21:25,669 - pyskl - INFO - Epoch(val) [19][533] top1_acc: 0.7848, top5_acc: 0.9803, mean_class_accuracy: 0.7148 2023-12-23 08:22:30,959 - pyskl - INFO - Epoch [20][100/1281] lr: 2.402e-02, eta: 19:14:45, time: 0.653, data_time: 0.231, memory: 4130, top1_acc: 0.8562, top5_acc: 0.9931, loss_cls: 2.2113, loss: 2.2113 2023-12-23 08:23:13,545 - pyskl - INFO - Epoch [20][200/1281] lr: 2.401e-02, eta: 19:14:12, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8544, top5_acc: 0.9919, loss_cls: 2.2198, loss: 2.2198 2023-12-23 08:23:57,896 - pyskl - INFO - Epoch [20][300/1281] lr: 2.400e-02, eta: 19:13:52, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 0.8269, top5_acc: 0.9869, loss_cls: 2.3023, loss: 2.3023 2023-12-23 08:24:41,742 - pyskl - INFO - Epoch [20][400/1281] lr: 2.399e-02, eta: 19:13:27, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8237, top5_acc: 0.9919, loss_cls: 2.2746, loss: 2.2746 2023-12-23 08:25:25,200 - pyskl - INFO - Epoch [20][500/1281] lr: 2.398e-02, eta: 19:13:00, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8237, top5_acc: 0.9919, loss_cls: 2.3056, loss: 2.3056 2023-12-23 08:26:09,165 - pyskl - INFO - Epoch [20][600/1281] lr: 2.398e-02, eta: 19:12:36, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9906, loss_cls: 2.2629, loss: 2.2629 2023-12-23 08:26:52,555 - pyskl - INFO - Epoch [20][700/1281] lr: 2.397e-02, eta: 19:12:09, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8469, top5_acc: 0.9912, loss_cls: 2.2183, loss: 2.2183 2023-12-23 08:27:36,244 - pyskl - INFO - Epoch [20][800/1281] lr: 2.396e-02, eta: 19:11:43, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.8237, top5_acc: 0.9894, loss_cls: 2.2945, loss: 2.2945 2023-12-23 08:28:20,533 - pyskl - INFO - Epoch [20][900/1281] lr: 2.395e-02, eta: 19:11:21, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8131, top5_acc: 0.9869, loss_cls: 2.3314, loss: 2.3314 2023-12-23 08:29:04,687 - pyskl - INFO - Epoch [20][1000/1281] lr: 2.394e-02, eta: 19:10:57, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8319, top5_acc: 0.9938, loss_cls: 2.2789, loss: 2.2789 2023-12-23 08:29:48,635 - pyskl - INFO - Epoch [20][1100/1281] lr: 2.393e-02, eta: 19:10:33, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8481, top5_acc: 0.9938, loss_cls: 2.2440, loss: 2.2440 2023-12-23 08:30:32,172 - pyskl - INFO - Epoch [20][1200/1281] lr: 2.393e-02, eta: 19:10:05, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8319, top5_acc: 0.9919, loss_cls: 2.2740, loss: 2.2740 2023-12-23 08:30:51,081 - pyskl - INFO - Saving checkpoint at 20 epochs 2023-12-23 08:31:51,261 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:31:51,333 - pyskl - INFO - top1_acc 0.7442 top5_acc 0.9738 2023-12-23 08:31:51,334 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:31:51,344 - pyskl - INFO - mean_acc 0.6736 2023-12-23 08:31:51,348 - pyskl - INFO - Epoch(val) [20][533] top1_acc: 0.7442, top5_acc: 0.9738, mean_class_accuracy: 0.6736 2023-12-23 08:32:56,416 - pyskl - INFO - Epoch [21][100/1281] lr: 2.391e-02, eta: 19:07:46, time: 0.651, data_time: 0.228, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9938, loss_cls: 2.2816, loss: 2.2816 2023-12-23 08:33:38,810 - pyskl - INFO - Epoch [21][200/1281] lr: 2.390e-02, eta: 19:07:11, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8475, top5_acc: 0.9912, loss_cls: 2.2328, loss: 2.2328 2023-12-23 08:34:22,455 - pyskl - INFO - Epoch [21][300/1281] lr: 2.389e-02, eta: 19:06:44, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8363, top5_acc: 0.9938, loss_cls: 2.2678, loss: 2.2678 2023-12-23 08:35:06,177 - pyskl - INFO - Epoch [21][400/1281] lr: 2.389e-02, eta: 19:06:18, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.8481, top5_acc: 0.9950, loss_cls: 2.2404, loss: 2.2404 2023-12-23 08:35:48,587 - pyskl - INFO - Epoch [21][500/1281] lr: 2.388e-02, eta: 19:05:43, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8337, top5_acc: 0.9931, loss_cls: 2.2461, loss: 2.2461 2023-12-23 08:36:30,959 - pyskl - INFO - Epoch [21][600/1281] lr: 2.387e-02, eta: 19:05:08, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8269, top5_acc: 0.9900, loss_cls: 2.3005, loss: 2.3005 2023-12-23 08:37:15,245 - pyskl - INFO - Epoch [21][700/1281] lr: 2.386e-02, eta: 19:04:44, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8294, top5_acc: 0.9869, loss_cls: 2.2784, loss: 2.2784 2023-12-23 08:37:59,438 - pyskl - INFO - Epoch [21][800/1281] lr: 2.385e-02, eta: 19:04:20, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8300, top5_acc: 0.9888, loss_cls: 2.2811, loss: 2.2811 2023-12-23 08:38:43,467 - pyskl - INFO - Epoch [21][900/1281] lr: 2.384e-02, eta: 19:03:55, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.8444, top5_acc: 0.9931, loss_cls: 2.2421, loss: 2.2421 2023-12-23 08:39:27,302 - pyskl - INFO - Epoch [21][1000/1281] lr: 2.383e-02, eta: 19:03:28, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8306, top5_acc: 0.9931, loss_cls: 2.2746, loss: 2.2746 2023-12-23 08:40:11,024 - pyskl - INFO - Epoch [21][1100/1281] lr: 2.383e-02, eta: 19:03:01, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9869, loss_cls: 2.2823, loss: 2.2823 2023-12-23 08:40:55,526 - pyskl - INFO - Epoch [21][1200/1281] lr: 2.382e-02, eta: 19:02:38, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8306, top5_acc: 0.9944, loss_cls: 2.2329, loss: 2.2329 2023-12-23 08:41:15,925 - pyskl - INFO - Saving checkpoint at 21 epochs 2023-12-23 08:42:18,849 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:42:18,915 - pyskl - INFO - top1_acc 0.8040 top5_acc 0.9866 2023-12-23 08:42:18,915 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:42:18,926 - pyskl - INFO - mean_acc 0.7180 2023-12-23 08:42:18,932 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_19.pth was removed 2023-12-23 08:42:19,362 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. 2023-12-23 08:42:19,363 - pyskl - INFO - Best top1_acc is 0.8040 at 21 epoch. 2023-12-23 08:42:19,373 - pyskl - INFO - Epoch(val) [21][533] top1_acc: 0.8040, top5_acc: 0.9866, mean_class_accuracy: 0.7180 2023-12-23 08:43:24,250 - pyskl - INFO - Epoch [22][100/1281] lr: 2.380e-02, eta: 19:00:21, time: 0.649, data_time: 0.225, memory: 4130, top1_acc: 0.8475, top5_acc: 0.9931, loss_cls: 2.2325, loss: 2.2325 2023-12-23 08:44:06,384 - pyskl - INFO - Epoch [22][200/1281] lr: 2.379e-02, eta: 18:59:44, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.8387, top5_acc: 0.9962, loss_cls: 2.2168, loss: 2.2168 2023-12-23 08:44:48,745 - pyskl - INFO - Epoch [22][300/1281] lr: 2.378e-02, eta: 18:59:08, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8569, top5_acc: 0.9956, loss_cls: 2.1912, loss: 2.1912 2023-12-23 08:45:32,364 - pyskl - INFO - Epoch [22][400/1281] lr: 2.378e-02, eta: 18:58:40, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8344, top5_acc: 0.9919, loss_cls: 2.2855, loss: 2.2855 2023-12-23 08:46:16,408 - pyskl - INFO - Epoch [22][500/1281] lr: 2.377e-02, eta: 18:58:14, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.8225, top5_acc: 0.9894, loss_cls: 2.3345, loss: 2.3345 2023-12-23 08:46:59,607 - pyskl - INFO - Epoch [22][600/1281] lr: 2.376e-02, eta: 18:57:43, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8500, top5_acc: 0.9944, loss_cls: 2.2216, loss: 2.2216 2023-12-23 08:47:41,741 - pyskl - INFO - Epoch [22][700/1281] lr: 2.375e-02, eta: 18:57:05, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.8294, top5_acc: 0.9938, loss_cls: 2.2453, loss: 2.2453 2023-12-23 08:48:24,093 - pyskl - INFO - Epoch [22][800/1281] lr: 2.374e-02, eta: 18:56:29, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8231, top5_acc: 0.9900, loss_cls: 2.3139, loss: 2.3139 2023-12-23 08:49:07,817 - pyskl - INFO - Epoch [22][900/1281] lr: 2.373e-02, eta: 18:56:01, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8325, top5_acc: 0.9931, loss_cls: 2.2890, loss: 2.2890 2023-12-23 08:49:52,089 - pyskl - INFO - Epoch [22][1000/1281] lr: 2.372e-02, eta: 18:55:36, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 0.8450, top5_acc: 0.9919, loss_cls: 2.2516, loss: 2.2516 2023-12-23 08:50:35,476 - pyskl - INFO - Epoch [22][1100/1281] lr: 2.371e-02, eta: 18:55:06, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8356, top5_acc: 0.9938, loss_cls: 2.2232, loss: 2.2232 2023-12-23 08:51:19,029 - pyskl - INFO - Epoch [22][1200/1281] lr: 2.370e-02, eta: 18:54:36, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8256, top5_acc: 0.9894, loss_cls: 2.2968, loss: 2.2968 2023-12-23 08:51:39,453 - pyskl - INFO - Saving checkpoint at 22 epochs 2023-12-23 08:52:42,872 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 08:52:42,947 - pyskl - INFO - top1_acc 0.7851 top5_acc 0.9809 2023-12-23 08:52:42,947 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 08:52:42,956 - pyskl - INFO - mean_acc 0.6998 2023-12-23 08:52:42,959 - pyskl - INFO - Epoch(val) [22][533] top1_acc: 0.7851, top5_acc: 0.9809, mean_class_accuracy: 0.6998 2023-12-23 08:53:48,389 - pyskl - INFO - Epoch [23][100/1281] lr: 2.369e-02, eta: 18:52:25, time: 0.654, data_time: 0.230, memory: 4130, top1_acc: 0.8631, top5_acc: 0.9925, loss_cls: 2.2059, loss: 2.2059 2023-12-23 08:54:30,870 - pyskl - INFO - Epoch [23][200/1281] lr: 2.368e-02, eta: 18:51:50, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8350, top5_acc: 0.9925, loss_cls: 2.2796, loss: 2.2796 2023-12-23 08:55:13,263 - pyskl - INFO - Epoch [23][300/1281] lr: 2.367e-02, eta: 18:51:13, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8444, top5_acc: 0.9950, loss_cls: 2.2752, loss: 2.2752 2023-12-23 08:55:55,348 - pyskl - INFO - Epoch [23][400/1281] lr: 2.366e-02, eta: 18:50:35, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.8344, top5_acc: 0.9881, loss_cls: 2.2823, loss: 2.2823 2023-12-23 08:56:37,876 - pyskl - INFO - Epoch [23][500/1281] lr: 2.365e-02, eta: 18:50:00, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8413, top5_acc: 0.9975, loss_cls: 2.2665, loss: 2.2665 2023-12-23 08:57:20,280 - pyskl - INFO - Epoch [23][600/1281] lr: 2.364e-02, eta: 18:49:24, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8431, top5_acc: 0.9938, loss_cls: 2.2457, loss: 2.2457 2023-12-23 08:58:03,347 - pyskl - INFO - Epoch [23][700/1281] lr: 2.363e-02, eta: 18:48:51, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8425, top5_acc: 0.9950, loss_cls: 2.2431, loss: 2.2431 2023-12-23 08:58:45,738 - pyskl - INFO - Epoch [23][800/1281] lr: 2.362e-02, eta: 18:48:15, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8400, top5_acc: 0.9894, loss_cls: 2.2568, loss: 2.2568 2023-12-23 08:59:28,152 - pyskl - INFO - Epoch [23][900/1281] lr: 2.361e-02, eta: 18:47:38, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9912, loss_cls: 2.2576, loss: 2.2576 2023-12-23 09:00:11,751 - pyskl - INFO - Epoch [23][1000/1281] lr: 2.360e-02, eta: 18:47:09, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8331, top5_acc: 0.9919, loss_cls: 2.2747, loss: 2.2747 2023-12-23 09:00:56,022 - pyskl - INFO - Epoch [23][1100/1281] lr: 2.359e-02, eta: 18:46:43, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8175, top5_acc: 0.9925, loss_cls: 2.3110, loss: 2.3110 2023-12-23 09:01:39,799 - pyskl - INFO - Epoch [23][1200/1281] lr: 2.359e-02, eta: 18:46:14, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8413, top5_acc: 0.9900, loss_cls: 2.2554, loss: 2.2554 2023-12-23 09:02:01,331 - pyskl - INFO - Saving checkpoint at 23 epochs 2023-12-23 09:03:05,922 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:03:05,997 - pyskl - INFO - top1_acc 0.8088 top5_acc 0.9876 2023-12-23 09:03:05,997 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:03:06,008 - pyskl - INFO - mean_acc 0.7415 2023-12-23 09:03:06,014 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_21.pth was removed 2023-12-23 09:03:06,315 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. 2023-12-23 09:03:06,315 - pyskl - INFO - Best top1_acc is 0.8088 at 23 epoch. 2023-12-23 09:03:06,320 - pyskl - INFO - Epoch(val) [23][533] top1_acc: 0.8088, top5_acc: 0.9876, mean_class_accuracy: 0.7415 2023-12-23 09:04:09,135 - pyskl - INFO - Epoch [24][100/1281] lr: 2.357e-02, eta: 18:43:51, time: 0.628, data_time: 0.208, memory: 4130, top1_acc: 0.8669, top5_acc: 0.9950, loss_cls: 2.1645, loss: 2.1645 2023-12-23 09:04:51,779 - pyskl - INFO - Epoch [24][200/1281] lr: 2.356e-02, eta: 18:43:16, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.8450, top5_acc: 0.9950, loss_cls: 2.2163, loss: 2.2163 2023-12-23 09:05:35,750 - pyskl - INFO - Epoch [24][300/1281] lr: 2.355e-02, eta: 18:42:48, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8381, top5_acc: 0.9906, loss_cls: 2.2283, loss: 2.2283 2023-12-23 09:06:20,018 - pyskl - INFO - Epoch [24][400/1281] lr: 2.354e-02, eta: 18:42:21, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9950, loss_cls: 2.2330, loss: 2.2330 2023-12-23 09:07:03,449 - pyskl - INFO - Epoch [24][500/1281] lr: 2.353e-02, eta: 18:41:50, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8519, top5_acc: 0.9931, loss_cls: 2.2268, loss: 2.2268 2023-12-23 09:07:45,590 - pyskl - INFO - Epoch [24][600/1281] lr: 2.352e-02, eta: 18:41:12, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.8488, top5_acc: 0.9919, loss_cls: 2.2618, loss: 2.2618 2023-12-23 09:08:28,975 - pyskl - INFO - Epoch [24][700/1281] lr: 2.351e-02, eta: 18:40:41, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.8306, top5_acc: 0.9869, loss_cls: 2.2966, loss: 2.2966 2023-12-23 09:09:12,074 - pyskl - INFO - Epoch [24][800/1281] lr: 2.350e-02, eta: 18:40:08, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8331, top5_acc: 0.9931, loss_cls: 2.2719, loss: 2.2719 2023-12-23 09:09:56,304 - pyskl - INFO - Epoch [24][900/1281] lr: 2.349e-02, eta: 18:39:41, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8525, top5_acc: 0.9900, loss_cls: 2.2134, loss: 2.2134 2023-12-23 09:10:40,465 - pyskl - INFO - Epoch [24][1000/1281] lr: 2.348e-02, eta: 18:39:13, time: 0.442, data_time: 0.000, memory: 4130, top1_acc: 0.8594, top5_acc: 0.9925, loss_cls: 2.2035, loss: 2.2035 2023-12-23 09:11:22,820 - pyskl - INFO - Epoch [24][1100/1281] lr: 2.347e-02, eta: 18:38:36, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8475, top5_acc: 0.9962, loss_cls: 2.2041, loss: 2.2041 2023-12-23 09:12:04,825 - pyskl - INFO - Epoch [24][1200/1281] lr: 2.346e-02, eta: 18:37:57, time: 0.420, data_time: 0.001, memory: 4130, top1_acc: 0.8444, top5_acc: 0.9888, loss_cls: 2.2614, loss: 2.2614 2023-12-23 09:12:26,647 - pyskl - INFO - Saving checkpoint at 24 epochs 2023-12-23 09:13:31,318 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:13:31,386 - pyskl - INFO - top1_acc 0.7872 top5_acc 0.9816 2023-12-23 09:13:31,386 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:13:31,401 - pyskl - INFO - mean_acc 0.7031 2023-12-23 09:13:31,407 - pyskl - INFO - Epoch(val) [24][533] top1_acc: 0.7872, top5_acc: 0.9816, mean_class_accuracy: 0.7031 2023-12-23 09:14:36,226 - pyskl - INFO - Epoch [25][100/1281] lr: 2.344e-02, eta: 18:35:48, time: 0.648, data_time: 0.223, memory: 4130, top1_acc: 0.8244, top5_acc: 0.9906, loss_cls: 2.2916, loss: 2.2916 2023-12-23 09:15:18,669 - pyskl - INFO - Epoch [25][200/1281] lr: 2.343e-02, eta: 18:35:11, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8500, top5_acc: 0.9944, loss_cls: 2.2177, loss: 2.2177 2023-12-23 09:16:00,531 - pyskl - INFO - Epoch [25][300/1281] lr: 2.342e-02, eta: 18:34:31, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8419, top5_acc: 0.9950, loss_cls: 2.2534, loss: 2.2534 2023-12-23 09:16:42,810 - pyskl - INFO - Epoch [25][400/1281] lr: 2.341e-02, eta: 18:33:54, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8531, top5_acc: 0.9969, loss_cls: 2.2057, loss: 2.2057 2023-12-23 09:17:25,471 - pyskl - INFO - Epoch [25][500/1281] lr: 2.340e-02, eta: 18:33:18, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8425, top5_acc: 0.9944, loss_cls: 2.2409, loss: 2.2409 2023-12-23 09:18:07,846 - pyskl - INFO - Epoch [25][600/1281] lr: 2.339e-02, eta: 18:32:41, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8519, top5_acc: 0.9950, loss_cls: 2.2202, loss: 2.2202 2023-12-23 09:18:50,251 - pyskl - INFO - Epoch [25][700/1281] lr: 2.338e-02, eta: 18:32:04, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8488, top5_acc: 0.9919, loss_cls: 2.2296, loss: 2.2296 2023-12-23 09:19:32,737 - pyskl - INFO - Epoch [25][800/1281] lr: 2.337e-02, eta: 18:31:27, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8594, top5_acc: 0.9925, loss_cls: 2.2102, loss: 2.2102 2023-12-23 09:20:15,094 - pyskl - INFO - Epoch [25][900/1281] lr: 2.336e-02, eta: 18:30:50, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8263, top5_acc: 0.9938, loss_cls: 2.2782, loss: 2.2782 2023-12-23 09:20:59,133 - pyskl - INFO - Epoch [25][1000/1281] lr: 2.335e-02, eta: 18:30:21, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.8438, top5_acc: 0.9925, loss_cls: 2.2493, loss: 2.2493 2023-12-23 09:21:43,498 - pyskl - INFO - Epoch [25][1100/1281] lr: 2.334e-02, eta: 18:29:54, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8538, top5_acc: 0.9944, loss_cls: 2.2059, loss: 2.2059 2023-12-23 09:22:27,627 - pyskl - INFO - Epoch [25][1200/1281] lr: 2.333e-02, eta: 18:29:25, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.8363, top5_acc: 0.9900, loss_cls: 2.2636, loss: 2.2636 2023-12-23 09:22:48,758 - pyskl - INFO - Saving checkpoint at 25 epochs 2023-12-23 09:23:51,226 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:23:51,284 - pyskl - INFO - top1_acc 0.7852 top5_acc 0.9766 2023-12-23 09:23:51,284 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:23:51,292 - pyskl - INFO - mean_acc 0.7140 2023-12-23 09:23:51,294 - pyskl - INFO - Epoch(val) [25][533] top1_acc: 0.7852, top5_acc: 0.9766, mean_class_accuracy: 0.7140 2023-12-23 09:24:53,341 - pyskl - INFO - Epoch [26][100/1281] lr: 2.332e-02, eta: 18:27:05, time: 0.620, data_time: 0.199, memory: 4130, top1_acc: 0.8575, top5_acc: 0.9900, loss_cls: 2.2001, loss: 2.2001 2023-12-23 09:25:35,738 - pyskl - INFO - Epoch [26][200/1281] lr: 2.330e-02, eta: 18:26:28, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8600, top5_acc: 0.9912, loss_cls: 2.2018, loss: 2.2018 2023-12-23 09:26:19,946 - pyskl - INFO - Epoch [26][300/1281] lr: 2.329e-02, eta: 18:25:59, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8556, top5_acc: 0.9938, loss_cls: 2.2054, loss: 2.2054 2023-12-23 09:27:04,430 - pyskl - INFO - Epoch [26][400/1281] lr: 2.328e-02, eta: 18:25:32, time: 0.445, data_time: 0.000, memory: 4130, top1_acc: 0.8581, top5_acc: 0.9900, loss_cls: 2.2312, loss: 2.2312 2023-12-23 09:27:48,480 - pyskl - INFO - Epoch [26][500/1281] lr: 2.327e-02, eta: 18:25:03, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9906, loss_cls: 2.2334, loss: 2.2334 2023-12-23 09:28:31,334 - pyskl - INFO - Epoch [26][600/1281] lr: 2.326e-02, eta: 18:24:28, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8494, top5_acc: 0.9950, loss_cls: 2.2071, loss: 2.2071 2023-12-23 09:29:14,930 - pyskl - INFO - Epoch [26][700/1281] lr: 2.325e-02, eta: 18:23:57, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8181, top5_acc: 0.9944, loss_cls: 2.2867, loss: 2.2867 2023-12-23 09:29:58,021 - pyskl - INFO - Epoch [26][800/1281] lr: 2.324e-02, eta: 18:23:23, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9931, loss_cls: 2.2482, loss: 2.2482 2023-12-23 09:30:41,373 - pyskl - INFO - Epoch [26][900/1281] lr: 2.323e-02, eta: 18:22:50, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.8556, top5_acc: 0.9919, loss_cls: 2.2177, loss: 2.2177 2023-12-23 09:31:24,010 - pyskl - INFO - Epoch [26][1000/1281] lr: 2.322e-02, eta: 18:22:13, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8431, top5_acc: 0.9950, loss_cls: 2.2301, loss: 2.2301 2023-12-23 09:32:06,135 - pyskl - INFO - Epoch [26][1100/1281] lr: 2.321e-02, eta: 18:21:35, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.8525, top5_acc: 0.9969, loss_cls: 2.1942, loss: 2.1942 2023-12-23 09:32:48,423 - pyskl - INFO - Epoch [26][1200/1281] lr: 2.320e-02, eta: 18:20:56, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8425, top5_acc: 0.9925, loss_cls: 2.2319, loss: 2.2319 2023-12-23 09:33:09,404 - pyskl - INFO - Saving checkpoint at 26 epochs 2023-12-23 09:34:12,811 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:34:12,874 - pyskl - INFO - top1_acc 0.8128 top5_acc 0.9880 2023-12-23 09:34:12,875 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:34:12,890 - pyskl - INFO - mean_acc 0.7394 2023-12-23 09:34:12,896 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_23.pth was removed 2023-12-23 09:34:13,153 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. 2023-12-23 09:34:13,153 - pyskl - INFO - Best top1_acc is 0.8128 at 26 epoch. 2023-12-23 09:34:13,159 - pyskl - INFO - Epoch(val) [26][533] top1_acc: 0.8128, top5_acc: 0.9880, mean_class_accuracy: 0.7394 2023-12-23 09:35:19,960 - pyskl - INFO - Epoch [27][100/1281] lr: 2.318e-02, eta: 18:19:01, time: 0.668, data_time: 0.229, memory: 4130, top1_acc: 0.8581, top5_acc: 0.9969, loss_cls: 2.1783, loss: 2.1783 2023-12-23 09:36:03,831 - pyskl - INFO - Epoch [27][200/1281] lr: 2.317e-02, eta: 18:18:31, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8669, top5_acc: 0.9950, loss_cls: 2.1709, loss: 2.1709 2023-12-23 09:36:47,562 - pyskl - INFO - Epoch [27][300/1281] lr: 2.316e-02, eta: 18:17:59, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8494, top5_acc: 0.9919, loss_cls: 2.2305, loss: 2.2305 2023-12-23 09:37:31,528 - pyskl - INFO - Epoch [27][400/1281] lr: 2.315e-02, eta: 18:17:29, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8731, top5_acc: 0.9944, loss_cls: 2.1698, loss: 2.1698 2023-12-23 09:38:15,617 - pyskl - INFO - Epoch [27][500/1281] lr: 2.314e-02, eta: 18:16:59, time: 0.441, data_time: 0.000, memory: 4130, top1_acc: 0.8588, top5_acc: 0.9938, loss_cls: 2.2077, loss: 2.2077 2023-12-23 09:38:58,202 - pyskl - INFO - Epoch [27][600/1281] lr: 2.313e-02, eta: 18:16:23, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8431, top5_acc: 0.9919, loss_cls: 2.2448, loss: 2.2448 2023-12-23 09:39:40,592 - pyskl - INFO - Epoch [27][700/1281] lr: 2.312e-02, eta: 18:15:45, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8456, top5_acc: 0.9925, loss_cls: 2.2492, loss: 2.2492 2023-12-23 09:40:22,633 - pyskl - INFO - Epoch [27][800/1281] lr: 2.311e-02, eta: 18:15:05, time: 0.420, data_time: 0.001, memory: 4130, top1_acc: 0.8356, top5_acc: 0.9919, loss_cls: 2.2606, loss: 2.2606 2023-12-23 09:41:04,915 - pyskl - INFO - Epoch [27][900/1281] lr: 2.310e-02, eta: 18:14:27, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8619, top5_acc: 0.9931, loss_cls: 2.2222, loss: 2.2222 2023-12-23 09:41:47,388 - pyskl - INFO - Epoch [27][1000/1281] lr: 2.308e-02, eta: 18:13:50, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.8481, top5_acc: 0.9912, loss_cls: 2.2331, loss: 2.2331 2023-12-23 09:42:30,572 - pyskl - INFO - Epoch [27][1100/1281] lr: 2.307e-02, eta: 18:13:15, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8500, top5_acc: 0.9931, loss_cls: 2.2438, loss: 2.2438 2023-12-23 09:43:14,933 - pyskl - INFO - Epoch [27][1200/1281] lr: 2.306e-02, eta: 18:12:46, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8381, top5_acc: 0.9956, loss_cls: 2.2493, loss: 2.2493 2023-12-23 09:43:35,093 - pyskl - INFO - Saving checkpoint at 27 epochs 2023-12-23 09:44:35,397 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:44:35,457 - pyskl - INFO - top1_acc 0.8141 top5_acc 0.9870 2023-12-23 09:44:35,457 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:44:35,465 - pyskl - INFO - mean_acc 0.7150 2023-12-23 09:44:35,470 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_26.pth was removed 2023-12-23 09:44:35,664 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_27.pth. 2023-12-23 09:44:35,664 - pyskl - INFO - Best top1_acc is 0.8141 at 27 epoch. 2023-12-23 09:44:35,667 - pyskl - INFO - Epoch(val) [27][533] top1_acc: 0.8141, top5_acc: 0.9870, mean_class_accuracy: 0.7150 2023-12-23 09:45:40,912 - pyskl - INFO - Epoch [28][100/1281] lr: 2.304e-02, eta: 18:10:46, time: 0.652, data_time: 0.221, memory: 4130, top1_acc: 0.8688, top5_acc: 0.9962, loss_cls: 2.1618, loss: 2.1618 2023-12-23 09:46:25,277 - pyskl - INFO - Epoch [28][200/1281] lr: 2.303e-02, eta: 18:10:17, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9931, loss_cls: 2.1658, loss: 2.1658 2023-12-23 09:47:09,426 - pyskl - INFO - Epoch [28][300/1281] lr: 2.302e-02, eta: 18:09:47, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.8562, top5_acc: 0.9925, loss_cls: 2.2296, loss: 2.2296 2023-12-23 09:47:52,218 - pyskl - INFO - Epoch [28][400/1281] lr: 2.301e-02, eta: 18:09:11, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.8700, top5_acc: 0.9944, loss_cls: 2.1715, loss: 2.1715 2023-12-23 09:48:34,164 - pyskl - INFO - Epoch [28][500/1281] lr: 2.300e-02, eta: 18:08:31, time: 0.419, data_time: 0.001, memory: 4130, top1_acc: 0.8506, top5_acc: 0.9925, loss_cls: 2.2181, loss: 2.2181 2023-12-23 09:49:16,566 - pyskl - INFO - Epoch [28][600/1281] lr: 2.299e-02, eta: 18:07:53, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8450, top5_acc: 0.9931, loss_cls: 2.2386, loss: 2.2386 2023-12-23 09:50:00,154 - pyskl - INFO - Epoch [28][700/1281] lr: 2.298e-02, eta: 18:07:20, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8506, top5_acc: 0.9925, loss_cls: 2.2370, loss: 2.2370 2023-12-23 09:50:44,561 - pyskl - INFO - Epoch [28][800/1281] lr: 2.297e-02, eta: 18:06:51, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8363, top5_acc: 0.9919, loss_cls: 2.2784, loss: 2.2784 2023-12-23 09:51:28,675 - pyskl - INFO - Epoch [28][900/1281] lr: 2.295e-02, eta: 18:06:20, time: 0.441, data_time: 0.000, memory: 4130, top1_acc: 0.8431, top5_acc: 0.9938, loss_cls: 2.2482, loss: 2.2482 2023-12-23 09:52:12,068 - pyskl - INFO - Epoch [28][1000/1281] lr: 2.294e-02, eta: 18:05:47, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8656, top5_acc: 0.9912, loss_cls: 2.2065, loss: 2.2065 2023-12-23 09:52:55,728 - pyskl - INFO - Epoch [28][1100/1281] lr: 2.293e-02, eta: 18:05:14, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8612, top5_acc: 0.9900, loss_cls: 2.2141, loss: 2.2141 2023-12-23 09:53:39,373 - pyskl - INFO - Epoch [28][1200/1281] lr: 2.292e-02, eta: 18:04:41, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.8556, top5_acc: 0.9931, loss_cls: 2.2100, loss: 2.2100 2023-12-23 09:53:58,809 - pyskl - INFO - Saving checkpoint at 28 epochs 2023-12-23 09:55:01,116 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 09:55:01,184 - pyskl - INFO - top1_acc 0.7973 top5_acc 0.9852 2023-12-23 09:55:01,184 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 09:55:01,192 - pyskl - INFO - mean_acc 0.7409 2023-12-23 09:55:01,195 - pyskl - INFO - Epoch(val) [28][533] top1_acc: 0.7973, top5_acc: 0.9852, mean_class_accuracy: 0.7409 2023-12-23 09:56:07,635 - pyskl - INFO - Epoch [29][100/1281] lr: 2.290e-02, eta: 18:02:47, time: 0.664, data_time: 0.230, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9944, loss_cls: 2.1846, loss: 2.1846 2023-12-23 09:56:51,024 - pyskl - INFO - Epoch [29][200/1281] lr: 2.289e-02, eta: 18:02:13, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.8675, top5_acc: 0.9950, loss_cls: 2.1760, loss: 2.1760 2023-12-23 09:57:34,420 - pyskl - INFO - Epoch [29][300/1281] lr: 2.288e-02, eta: 18:01:40, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9975, loss_cls: 2.1444, loss: 2.1444 2023-12-23 09:58:16,883 - pyskl - INFO - Epoch [29][400/1281] lr: 2.287e-02, eta: 18:01:02, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8519, top5_acc: 0.9956, loss_cls: 2.2264, loss: 2.2264 2023-12-23 09:58:59,111 - pyskl - INFO - Epoch [29][500/1281] lr: 2.285e-02, eta: 18:00:23, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8619, top5_acc: 0.9944, loss_cls: 2.1758, loss: 2.1758 2023-12-23 09:59:43,063 - pyskl - INFO - Epoch [29][600/1281] lr: 2.284e-02, eta: 17:59:51, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8544, top5_acc: 0.9969, loss_cls: 2.1801, loss: 2.1801 2023-12-23 10:00:26,245 - pyskl - INFO - Epoch [29][700/1281] lr: 2.283e-02, eta: 17:59:16, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8550, top5_acc: 0.9931, loss_cls: 2.2214, loss: 2.2214 2023-12-23 10:01:10,518 - pyskl - INFO - Epoch [29][800/1281] lr: 2.282e-02, eta: 17:58:46, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8619, top5_acc: 0.9956, loss_cls: 2.2120, loss: 2.2120 2023-12-23 10:01:54,994 - pyskl - INFO - Epoch [29][900/1281] lr: 2.281e-02, eta: 17:58:16, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8531, top5_acc: 0.9944, loss_cls: 2.1913, loss: 2.1913 2023-12-23 10:02:39,358 - pyskl - INFO - Epoch [29][1000/1281] lr: 2.280e-02, eta: 17:57:46, time: 0.444, data_time: 0.000, memory: 4130, top1_acc: 0.8475, top5_acc: 0.9912, loss_cls: 2.2261, loss: 2.2261 2023-12-23 10:03:23,552 - pyskl - INFO - Epoch [29][1100/1281] lr: 2.279e-02, eta: 17:57:15, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8644, top5_acc: 0.9931, loss_cls: 2.2058, loss: 2.2058 2023-12-23 10:04:06,774 - pyskl - INFO - Epoch [29][1200/1281] lr: 2.277e-02, eta: 17:56:40, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8594, top5_acc: 0.9962, loss_cls: 2.2168, loss: 2.2168 2023-12-23 10:04:24,960 - pyskl - INFO - Saving checkpoint at 29 epochs 2023-12-23 10:05:23,548 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:05:23,608 - pyskl - INFO - top1_acc 0.7902 top5_acc 0.9818 2023-12-23 10:05:23,609 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:05:23,616 - pyskl - INFO - mean_acc 0.7255 2023-12-23 10:05:23,618 - pyskl - INFO - Epoch(val) [29][533] top1_acc: 0.7902, top5_acc: 0.9818, mean_class_accuracy: 0.7255 2023-12-23 10:06:28,794 - pyskl - INFO - Epoch [30][100/1281] lr: 2.275e-02, eta: 17:54:42, time: 0.652, data_time: 0.226, memory: 4130, top1_acc: 0.8594, top5_acc: 0.9950, loss_cls: 2.2061, loss: 2.2061 2023-12-23 10:07:11,274 - pyskl - INFO - Epoch [30][200/1281] lr: 2.274e-02, eta: 17:54:04, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8544, top5_acc: 0.9969, loss_cls: 2.2096, loss: 2.2096 2023-12-23 10:07:53,790 - pyskl - INFO - Epoch [30][300/1281] lr: 2.273e-02, eta: 17:53:26, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8794, top5_acc: 0.9962, loss_cls: 2.1601, loss: 2.1601 2023-12-23 10:08:35,750 - pyskl - INFO - Epoch [30][400/1281] lr: 2.272e-02, eta: 17:52:46, time: 0.420, data_time: 0.001, memory: 4130, top1_acc: 0.8581, top5_acc: 0.9938, loss_cls: 2.1899, loss: 2.1899 2023-12-23 10:09:18,255 - pyskl - INFO - Epoch [30][500/1281] lr: 2.271e-02, eta: 17:52:08, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8600, top5_acc: 0.9925, loss_cls: 2.1999, loss: 2.1999 2023-12-23 10:10:00,676 - pyskl - INFO - Epoch [30][600/1281] lr: 2.269e-02, eta: 17:51:29, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8512, top5_acc: 0.9962, loss_cls: 2.2078, loss: 2.2078 2023-12-23 10:10:43,710 - pyskl - INFO - Epoch [30][700/1281] lr: 2.268e-02, eta: 17:50:53, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8556, top5_acc: 0.9925, loss_cls: 2.2041, loss: 2.2041 2023-12-23 10:11:27,905 - pyskl - INFO - Epoch [30][800/1281] lr: 2.267e-02, eta: 17:50:22, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8550, top5_acc: 0.9931, loss_cls: 2.1918, loss: 2.1918 2023-12-23 10:12:11,294 - pyskl - INFO - Epoch [30][900/1281] lr: 2.266e-02, eta: 17:49:47, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8719, top5_acc: 0.9906, loss_cls: 2.1713, loss: 2.1713 2023-12-23 10:12:53,875 - pyskl - INFO - Epoch [30][1000/1281] lr: 2.265e-02, eta: 17:49:09, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.8662, top5_acc: 0.9931, loss_cls: 2.1722, loss: 2.1722 2023-12-23 10:13:36,215 - pyskl - INFO - Epoch [30][1100/1281] lr: 2.263e-02, eta: 17:48:30, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8375, top5_acc: 0.9931, loss_cls: 2.2505, loss: 2.2505 2023-12-23 10:14:16,887 - pyskl - INFO - Epoch [30][1200/1281] lr: 2.262e-02, eta: 17:47:45, time: 0.407, data_time: 0.001, memory: 4130, top1_acc: 0.8400, top5_acc: 0.9925, loss_cls: 2.2254, loss: 2.2254 2023-12-23 10:14:36,472 - pyskl - INFO - Saving checkpoint at 30 epochs 2023-12-23 10:15:36,322 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:15:36,378 - pyskl - INFO - top1_acc 0.7953 top5_acc 0.9799 2023-12-23 10:15:36,378 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:15:36,387 - pyskl - INFO - mean_acc 0.7500 2023-12-23 10:15:36,390 - pyskl - INFO - Epoch(val) [30][533] top1_acc: 0.7953, top5_acc: 0.9799, mean_class_accuracy: 0.7500 2023-12-23 10:16:39,587 - pyskl - INFO - Epoch [31][100/1281] lr: 2.260e-02, eta: 17:45:41, time: 0.632, data_time: 0.191, memory: 4130, top1_acc: 0.8831, top5_acc: 0.9931, loss_cls: 2.1667, loss: 2.1667 2023-12-23 10:17:23,467 - pyskl - INFO - Epoch [31][200/1281] lr: 2.259e-02, eta: 17:45:08, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8431, top5_acc: 0.9944, loss_cls: 2.2493, loss: 2.2493 2023-12-23 10:18:05,863 - pyskl - INFO - Epoch [31][300/1281] lr: 2.258e-02, eta: 17:44:29, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9950, loss_cls: 2.1181, loss: 2.1181 2023-12-23 10:18:48,348 - pyskl - INFO - Epoch [31][400/1281] lr: 2.256e-02, eta: 17:43:51, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9925, loss_cls: 2.2047, loss: 2.2047 2023-12-23 10:19:30,927 - pyskl - INFO - Epoch [31][500/1281] lr: 2.255e-02, eta: 17:43:13, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9994, loss_cls: 2.1724, loss: 2.1724 2023-12-23 10:20:13,815 - pyskl - INFO - Epoch [31][600/1281] lr: 2.254e-02, eta: 17:42:37, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8706, top5_acc: 0.9931, loss_cls: 2.1750, loss: 2.1750 2023-12-23 10:20:56,588 - pyskl - INFO - Epoch [31][700/1281] lr: 2.253e-02, eta: 17:41:59, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.8531, top5_acc: 0.9950, loss_cls: 2.1874, loss: 2.1874 2023-12-23 10:21:39,073 - pyskl - INFO - Epoch [31][800/1281] lr: 2.252e-02, eta: 17:41:21, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8575, top5_acc: 0.9919, loss_cls: 2.2195, loss: 2.2195 2023-12-23 10:22:22,420 - pyskl - INFO - Epoch [31][900/1281] lr: 2.250e-02, eta: 17:40:46, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8469, top5_acc: 0.9919, loss_cls: 2.2379, loss: 2.2379 2023-12-23 10:23:05,516 - pyskl - INFO - Epoch [31][1000/1281] lr: 2.249e-02, eta: 17:40:10, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8488, top5_acc: 0.9956, loss_cls: 2.2412, loss: 2.2412 2023-12-23 10:23:48,058 - pyskl - INFO - Epoch [31][1100/1281] lr: 2.248e-02, eta: 17:39:32, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9894, loss_cls: 2.2187, loss: 2.2187 2023-12-23 10:24:29,225 - pyskl - INFO - Epoch [31][1200/1281] lr: 2.247e-02, eta: 17:38:48, time: 0.412, data_time: 0.000, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9962, loss_cls: 2.1624, loss: 2.1624 2023-12-23 10:24:48,038 - pyskl - INFO - Saving checkpoint at 31 epochs 2023-12-23 10:25:48,399 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:25:48,471 - pyskl - INFO - top1_acc 0.7929 top5_acc 0.9786 2023-12-23 10:25:48,471 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:25:48,485 - pyskl - INFO - mean_acc 0.7348 2023-12-23 10:25:48,489 - pyskl - INFO - Epoch(val) [31][533] top1_acc: 0.7929, top5_acc: 0.9786, mean_class_accuracy: 0.7348 2023-12-23 10:26:54,235 - pyskl - INFO - Epoch [32][100/1281] lr: 2.244e-02, eta: 17:36:56, time: 0.657, data_time: 0.225, memory: 4130, top1_acc: 0.8644, top5_acc: 0.9975, loss_cls: 2.1812, loss: 2.1812 2023-12-23 10:27:36,640 - pyskl - INFO - Epoch [32][200/1281] lr: 2.243e-02, eta: 17:36:17, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8588, top5_acc: 0.9938, loss_cls: 2.2010, loss: 2.2010 2023-12-23 10:28:19,016 - pyskl - INFO - Epoch [32][300/1281] lr: 2.242e-02, eta: 17:35:38, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8744, top5_acc: 0.9950, loss_cls: 2.1869, loss: 2.1869 2023-12-23 10:29:01,879 - pyskl - INFO - Epoch [32][400/1281] lr: 2.241e-02, eta: 17:35:01, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8900, top5_acc: 0.9969, loss_cls: 2.1128, loss: 2.1128 2023-12-23 10:29:44,471 - pyskl - INFO - Epoch [32][500/1281] lr: 2.239e-02, eta: 17:34:23, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8556, top5_acc: 0.9919, loss_cls: 2.2172, loss: 2.2172 2023-12-23 10:30:27,144 - pyskl - INFO - Epoch [32][600/1281] lr: 2.238e-02, eta: 17:33:46, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8475, top5_acc: 0.9938, loss_cls: 2.2289, loss: 2.2289 2023-12-23 10:31:10,802 - pyskl - INFO - Epoch [32][700/1281] lr: 2.237e-02, eta: 17:33:12, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.8444, top5_acc: 0.9906, loss_cls: 2.2392, loss: 2.2392 2023-12-23 10:31:55,087 - pyskl - INFO - Epoch [32][800/1281] lr: 2.236e-02, eta: 17:32:40, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8625, top5_acc: 0.9931, loss_cls: 2.1852, loss: 2.1852 2023-12-23 10:32:38,342 - pyskl - INFO - Epoch [32][900/1281] lr: 2.234e-02, eta: 17:32:04, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9950, loss_cls: 2.1645, loss: 2.1645 2023-12-23 10:33:22,652 - pyskl - INFO - Epoch [32][1000/1281] lr: 2.233e-02, eta: 17:31:32, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9894, loss_cls: 2.1992, loss: 2.1992 2023-12-23 10:34:06,945 - pyskl - INFO - Epoch [32][1100/1281] lr: 2.232e-02, eta: 17:31:00, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8706, top5_acc: 0.9950, loss_cls: 2.1675, loss: 2.1675 2023-12-23 10:34:50,043 - pyskl - INFO - Epoch [32][1200/1281] lr: 2.231e-02, eta: 17:30:24, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8588, top5_acc: 0.9912, loss_cls: 2.2041, loss: 2.2041 2023-12-23 10:35:09,815 - pyskl - INFO - Saving checkpoint at 32 epochs 2023-12-23 10:36:09,685 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:36:09,748 - pyskl - INFO - top1_acc 0.7822 top5_acc 0.9858 2023-12-23 10:36:09,748 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:36:09,759 - pyskl - INFO - mean_acc 0.6990 2023-12-23 10:36:09,761 - pyskl - INFO - Epoch(val) [32][533] top1_acc: 0.7822, top5_acc: 0.9858, mean_class_accuracy: 0.6990 2023-12-23 10:37:13,602 - pyskl - INFO - Epoch [33][100/1281] lr: 2.228e-02, eta: 17:28:26, time: 0.638, data_time: 0.207, memory: 4130, top1_acc: 0.8675, top5_acc: 0.9912, loss_cls: 2.2020, loss: 2.2020 2023-12-23 10:37:57,144 - pyskl - INFO - Epoch [33][200/1281] lr: 2.227e-02, eta: 17:27:51, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8738, top5_acc: 0.9950, loss_cls: 2.1437, loss: 2.1437 2023-12-23 10:38:39,597 - pyskl - INFO - Epoch [33][300/1281] lr: 2.226e-02, eta: 17:27:13, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8869, top5_acc: 0.9988, loss_cls: 2.1206, loss: 2.1206 2023-12-23 10:39:22,060 - pyskl - INFO - Epoch [33][400/1281] lr: 2.225e-02, eta: 17:26:34, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8481, top5_acc: 0.9925, loss_cls: 2.2248, loss: 2.2248 2023-12-23 10:40:04,172 - pyskl - INFO - Epoch [33][500/1281] lr: 2.223e-02, eta: 17:25:54, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.8531, top5_acc: 0.9962, loss_cls: 2.2119, loss: 2.2119 2023-12-23 10:40:47,373 - pyskl - INFO - Epoch [33][600/1281] lr: 2.222e-02, eta: 17:25:18, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8800, top5_acc: 0.9962, loss_cls: 2.1401, loss: 2.1401 2023-12-23 10:41:31,156 - pyskl - INFO - Epoch [33][700/1281] lr: 2.221e-02, eta: 17:24:44, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8619, top5_acc: 0.9950, loss_cls: 2.1556, loss: 2.1556 2023-12-23 10:42:13,712 - pyskl - INFO - Epoch [33][800/1281] lr: 2.219e-02, eta: 17:24:05, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8688, top5_acc: 0.9944, loss_cls: 2.1769, loss: 2.1769 2023-12-23 10:42:56,672 - pyskl - INFO - Epoch [33][900/1281] lr: 2.218e-02, eta: 17:23:28, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8456, top5_acc: 0.9950, loss_cls: 2.2083, loss: 2.2083 2023-12-23 10:43:40,159 - pyskl - INFO - Epoch [33][1000/1281] lr: 2.217e-02, eta: 17:22:53, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8794, top5_acc: 0.9975, loss_cls: 2.1637, loss: 2.1637 2023-12-23 10:44:22,286 - pyskl - INFO - Epoch [33][1100/1281] lr: 2.216e-02, eta: 17:22:13, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.8731, top5_acc: 0.9938, loss_cls: 2.1591, loss: 2.1591 2023-12-23 10:45:03,013 - pyskl - INFO - Epoch [33][1200/1281] lr: 2.214e-02, eta: 17:21:28, time: 0.407, data_time: 0.000, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9962, loss_cls: 2.1443, loss: 2.1443 2023-12-23 10:45:22,789 - pyskl - INFO - Saving checkpoint at 33 epochs 2023-12-23 10:46:23,359 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:46:23,440 - pyskl - INFO - top1_acc 0.8042 top5_acc 0.9853 2023-12-23 10:46:23,441 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:46:23,455 - pyskl - INFO - mean_acc 0.7353 2023-12-23 10:46:23,460 - pyskl - INFO - Epoch(val) [33][533] top1_acc: 0.8042, top5_acc: 0.9853, mean_class_accuracy: 0.7353 2023-12-23 10:47:30,197 - pyskl - INFO - Epoch [34][100/1281] lr: 2.212e-02, eta: 17:19:42, time: 0.667, data_time: 0.231, memory: 4130, top1_acc: 0.8819, top5_acc: 0.9969, loss_cls: 2.1383, loss: 2.1383 2023-12-23 10:48:12,190 - pyskl - INFO - Epoch [34][200/1281] lr: 2.211e-02, eta: 17:19:02, time: 0.420, data_time: 0.001, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9969, loss_cls: 2.1294, loss: 2.1294 2023-12-23 10:48:54,438 - pyskl - INFO - Epoch [34][300/1281] lr: 2.209e-02, eta: 17:18:22, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8669, top5_acc: 0.9962, loss_cls: 2.1757, loss: 2.1757 2023-12-23 10:49:36,969 - pyskl - INFO - Epoch [34][400/1281] lr: 2.208e-02, eta: 17:17:43, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8869, top5_acc: 0.9962, loss_cls: 2.1369, loss: 2.1369 2023-12-23 10:50:19,495 - pyskl - INFO - Epoch [34][500/1281] lr: 2.207e-02, eta: 17:17:05, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8756, top5_acc: 0.9950, loss_cls: 2.1501, loss: 2.1501 2023-12-23 10:51:02,479 - pyskl - INFO - Epoch [34][600/1281] lr: 2.205e-02, eta: 17:16:28, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8656, top5_acc: 0.9962, loss_cls: 2.1816, loss: 2.1816 2023-12-23 10:51:46,332 - pyskl - INFO - Epoch [34][700/1281] lr: 2.204e-02, eta: 17:15:54, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8538, top5_acc: 0.9919, loss_cls: 2.2016, loss: 2.2016 2023-12-23 10:52:29,323 - pyskl - INFO - Epoch [34][800/1281] lr: 2.203e-02, eta: 17:15:17, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8731, top5_acc: 0.9925, loss_cls: 2.1758, loss: 2.1758 2023-12-23 10:53:11,973 - pyskl - INFO - Epoch [34][900/1281] lr: 2.201e-02, eta: 17:14:38, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.8488, top5_acc: 0.9931, loss_cls: 2.2211, loss: 2.2211 2023-12-23 10:53:56,227 - pyskl - INFO - Epoch [34][1000/1281] lr: 2.200e-02, eta: 17:14:06, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8644, top5_acc: 0.9925, loss_cls: 2.1785, loss: 2.1785 2023-12-23 10:54:40,182 - pyskl - INFO - Epoch [34][1100/1281] lr: 2.199e-02, eta: 17:13:32, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8581, top5_acc: 0.9944, loss_cls: 2.1944, loss: 2.1944 2023-12-23 10:55:20,872 - pyskl - INFO - Epoch [34][1200/1281] lr: 2.197e-02, eta: 17:12:47, time: 0.407, data_time: 0.001, memory: 4130, top1_acc: 0.8656, top5_acc: 0.9938, loss_cls: 2.1985, loss: 2.1985 2023-12-23 10:55:39,261 - pyskl - INFO - Saving checkpoint at 34 epochs 2023-12-23 10:56:37,531 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 10:56:37,596 - pyskl - INFO - top1_acc 0.8053 top5_acc 0.9858 2023-12-23 10:56:37,596 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 10:56:37,607 - pyskl - INFO - mean_acc 0.7320 2023-12-23 10:56:37,611 - pyskl - INFO - Epoch(val) [34][533] top1_acc: 0.8053, top5_acc: 0.9858, mean_class_accuracy: 0.7320 2023-12-23 10:57:42,798 - pyskl - INFO - Epoch [35][100/1281] lr: 2.195e-02, eta: 17:10:56, time: 0.652, data_time: 0.222, memory: 4130, top1_acc: 0.8806, top5_acc: 0.9956, loss_cls: 2.1569, loss: 2.1569 2023-12-23 10:58:25,188 - pyskl - INFO - Epoch [35][200/1281] lr: 2.194e-02, eta: 17:10:17, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9938, loss_cls: 2.1585, loss: 2.1585 2023-12-23 10:59:09,025 - pyskl - INFO - Epoch [35][300/1281] lr: 2.192e-02, eta: 17:09:43, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8719, top5_acc: 0.9919, loss_cls: 2.1666, loss: 2.1666 2023-12-23 10:59:50,932 - pyskl - INFO - Epoch [35][400/1281] lr: 2.191e-02, eta: 17:09:02, time: 0.419, data_time: 0.001, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9950, loss_cls: 2.1670, loss: 2.1670 2023-12-23 11:00:33,310 - pyskl - INFO - Epoch [35][500/1281] lr: 2.190e-02, eta: 17:08:23, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8706, top5_acc: 0.9919, loss_cls: 2.1793, loss: 2.1793 2023-12-23 11:01:15,750 - pyskl - INFO - Epoch [35][600/1281] lr: 2.188e-02, eta: 17:07:44, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8588, top5_acc: 0.9931, loss_cls: 2.2050, loss: 2.2050 2023-12-23 11:02:00,881 - pyskl - INFO - Epoch [35][700/1281] lr: 2.187e-02, eta: 17:07:13, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8525, top5_acc: 0.9938, loss_cls: 2.2324, loss: 2.2324 2023-12-23 11:02:45,381 - pyskl - INFO - Epoch [35][800/1281] lr: 2.185e-02, eta: 17:06:41, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8519, top5_acc: 0.9888, loss_cls: 2.2417, loss: 2.2417 2023-12-23 11:03:29,527 - pyskl - INFO - Epoch [35][900/1281] lr: 2.184e-02, eta: 17:06:08, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.8619, top5_acc: 0.9981, loss_cls: 2.1616, loss: 2.1616 2023-12-23 11:04:12,402 - pyskl - INFO - Epoch [35][1000/1281] lr: 2.183e-02, eta: 17:05:30, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8656, top5_acc: 0.9950, loss_cls: 2.1690, loss: 2.1690 2023-12-23 11:04:54,897 - pyskl - INFO - Epoch [35][1100/1281] lr: 2.181e-02, eta: 17:04:51, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8719, top5_acc: 0.9919, loss_cls: 2.1971, loss: 2.1971 2023-12-23 11:05:39,254 - pyskl - INFO - Epoch [35][1200/1281] lr: 2.180e-02, eta: 17:04:18, time: 0.444, data_time: 0.000, memory: 4130, top1_acc: 0.8562, top5_acc: 0.9962, loss_cls: 2.1759, loss: 2.1759 2023-12-23 11:05:59,850 - pyskl - INFO - Saving checkpoint at 35 epochs 2023-12-23 11:07:02,246 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:07:02,314 - pyskl - INFO - top1_acc 0.8294 top5_acc 0.9893 2023-12-23 11:07:02,314 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:07:02,325 - pyskl - INFO - mean_acc 0.7675 2023-12-23 11:07:02,332 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_27.pth was removed 2023-12-23 11:07:02,618 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth. 2023-12-23 11:07:02,618 - pyskl - INFO - Best top1_acc is 0.8294 at 35 epoch. 2023-12-23 11:07:02,621 - pyskl - INFO - Epoch(val) [35][533] top1_acc: 0.8294, top5_acc: 0.9893, mean_class_accuracy: 0.7675 2023-12-23 11:08:07,947 - pyskl - INFO - Epoch [36][100/1281] lr: 2.178e-02, eta: 17:02:29, time: 0.653, data_time: 0.218, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9956, loss_cls: 2.1490, loss: 2.1490 2023-12-23 11:08:51,975 - pyskl - INFO - Epoch [36][200/1281] lr: 2.176e-02, eta: 17:01:55, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9969, loss_cls: 2.1731, loss: 2.1731 2023-12-23 11:09:36,232 - pyskl - INFO - Epoch [36][300/1281] lr: 2.175e-02, eta: 17:01:22, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 0.8681, top5_acc: 0.9950, loss_cls: 2.1848, loss: 2.1848 2023-12-23 11:10:18,705 - pyskl - INFO - Epoch [36][400/1281] lr: 2.173e-02, eta: 17:00:43, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8719, top5_acc: 0.9925, loss_cls: 2.1604, loss: 2.1604 2023-12-23 11:11:02,766 - pyskl - INFO - Epoch [36][500/1281] lr: 2.172e-02, eta: 17:00:09, time: 0.441, data_time: 0.000, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9981, loss_cls: 2.1388, loss: 2.1388 2023-12-23 11:11:46,296 - pyskl - INFO - Epoch [36][600/1281] lr: 2.171e-02, eta: 16:59:33, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.8631, top5_acc: 0.9938, loss_cls: 2.1537, loss: 2.1537 2023-12-23 11:12:30,316 - pyskl - INFO - Epoch [36][700/1281] lr: 2.169e-02, eta: 16:58:59, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8644, top5_acc: 0.9981, loss_cls: 2.1625, loss: 2.1625 2023-12-23 11:13:14,470 - pyskl - INFO - Epoch [36][800/1281] lr: 2.168e-02, eta: 16:58:25, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8656, top5_acc: 0.9938, loss_cls: 2.1997, loss: 2.1997 2023-12-23 11:13:58,948 - pyskl - INFO - Epoch [36][900/1281] lr: 2.167e-02, eta: 16:57:52, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8681, top5_acc: 0.9944, loss_cls: 2.1849, loss: 2.1849 2023-12-23 11:14:42,791 - pyskl - INFO - Epoch [36][1000/1281] lr: 2.165e-02, eta: 16:57:17, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8506, top5_acc: 0.9944, loss_cls: 2.1965, loss: 2.1965 2023-12-23 11:15:25,006 - pyskl - INFO - Epoch [36][1100/1281] lr: 2.164e-02, eta: 16:56:37, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8869, top5_acc: 0.9938, loss_cls: 2.1389, loss: 2.1389 2023-12-23 11:16:07,401 - pyskl - INFO - Epoch [36][1200/1281] lr: 2.162e-02, eta: 16:55:58, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8706, top5_acc: 0.9888, loss_cls: 2.2230, loss: 2.2230 2023-12-23 11:16:28,152 - pyskl - INFO - Saving checkpoint at 36 epochs 2023-12-23 11:17:29,797 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:17:29,854 - pyskl - INFO - top1_acc 0.8388 top5_acc 0.9897 2023-12-23 11:17:29,854 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:17:29,863 - pyskl - INFO - mean_acc 0.7719 2023-12-23 11:17:29,875 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_35.pth was removed 2023-12-23 11:17:30,184 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. 2023-12-23 11:17:30,184 - pyskl - INFO - Best top1_acc is 0.8388 at 36 epoch. 2023-12-23 11:17:30,188 - pyskl - INFO - Epoch(val) [36][533] top1_acc: 0.8388, top5_acc: 0.9897, mean_class_accuracy: 0.7719 2023-12-23 11:18:37,028 - pyskl - INFO - Epoch [37][100/1281] lr: 2.160e-02, eta: 16:54:15, time: 0.668, data_time: 0.228, memory: 4130, top1_acc: 0.8662, top5_acc: 0.9944, loss_cls: 2.1671, loss: 2.1671 2023-12-23 11:19:19,216 - pyskl - INFO - Epoch [37][200/1281] lr: 2.158e-02, eta: 16:53:35, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.8925, top5_acc: 0.9975, loss_cls: 2.0994, loss: 2.0994 2023-12-23 11:20:01,647 - pyskl - INFO - Epoch [37][300/1281] lr: 2.157e-02, eta: 16:52:55, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8581, top5_acc: 0.9950, loss_cls: 2.2085, loss: 2.2085 2023-12-23 11:20:44,345 - pyskl - INFO - Epoch [37][400/1281] lr: 2.156e-02, eta: 16:52:17, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.8756, top5_acc: 0.9925, loss_cls: 2.1734, loss: 2.1734 2023-12-23 11:21:28,528 - pyskl - INFO - Epoch [37][500/1281] lr: 2.154e-02, eta: 16:51:43, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8656, top5_acc: 0.9944, loss_cls: 2.1674, loss: 2.1674 2023-12-23 11:22:12,969 - pyskl - INFO - Epoch [37][600/1281] lr: 2.153e-02, eta: 16:51:09, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8500, top5_acc: 0.9906, loss_cls: 2.2437, loss: 2.2437 2023-12-23 11:22:55,605 - pyskl - INFO - Epoch [37][700/1281] lr: 2.151e-02, eta: 16:50:30, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8556, top5_acc: 0.9962, loss_cls: 2.1700, loss: 2.1700 2023-12-23 11:23:37,778 - pyskl - INFO - Epoch [37][800/1281] lr: 2.150e-02, eta: 16:49:50, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8669, top5_acc: 0.9912, loss_cls: 2.1615, loss: 2.1615 2023-12-23 11:24:20,243 - pyskl - INFO - Epoch [37][900/1281] lr: 2.149e-02, eta: 16:49:11, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9938, loss_cls: 2.1614, loss: 2.1614 2023-12-23 11:25:02,510 - pyskl - INFO - Epoch [37][1000/1281] lr: 2.147e-02, eta: 16:48:31, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8912, top5_acc: 0.9944, loss_cls: 2.1379, loss: 2.1379 2023-12-23 11:25:44,928 - pyskl - INFO - Epoch [37][1100/1281] lr: 2.146e-02, eta: 16:47:51, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9981, loss_cls: 2.1709, loss: 2.1709 2023-12-23 11:26:28,824 - pyskl - INFO - Epoch [37][1200/1281] lr: 2.144e-02, eta: 16:47:16, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8756, top5_acc: 0.9925, loss_cls: 2.1344, loss: 2.1344 2023-12-23 11:26:47,839 - pyskl - INFO - Saving checkpoint at 37 epochs 2023-12-23 11:27:48,688 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:27:48,747 - pyskl - INFO - top1_acc 0.7789 top5_acc 0.9765 2023-12-23 11:27:48,747 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:27:48,754 - pyskl - INFO - mean_acc 0.7225 2023-12-23 11:27:48,756 - pyskl - INFO - Epoch(val) [37][533] top1_acc: 0.7789, top5_acc: 0.9765, mean_class_accuracy: 0.7225 2023-12-23 11:28:53,285 - pyskl - INFO - Epoch [38][100/1281] lr: 2.142e-02, eta: 16:45:27, time: 0.645, data_time: 0.218, memory: 4130, top1_acc: 0.8744, top5_acc: 0.9956, loss_cls: 2.1391, loss: 2.1391 2023-12-23 11:29:35,974 - pyskl - INFO - Epoch [38][200/1281] lr: 2.140e-02, eta: 16:44:48, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9975, loss_cls: 2.1439, loss: 2.1439 2023-12-23 11:30:18,296 - pyskl - INFO - Epoch [38][300/1281] lr: 2.139e-02, eta: 16:44:08, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8750, top5_acc: 0.9938, loss_cls: 2.1538, loss: 2.1538 2023-12-23 11:31:00,371 - pyskl - INFO - Epoch [38][400/1281] lr: 2.137e-02, eta: 16:43:28, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.8612, top5_acc: 0.9925, loss_cls: 2.2075, loss: 2.2075 2023-12-23 11:31:44,548 - pyskl - INFO - Epoch [38][500/1281] lr: 2.136e-02, eta: 16:42:54, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8956, top5_acc: 0.9969, loss_cls: 2.0966, loss: 2.0966 2023-12-23 11:32:28,954 - pyskl - INFO - Epoch [38][600/1281] lr: 2.134e-02, eta: 16:42:20, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8675, top5_acc: 0.9938, loss_cls: 2.1970, loss: 2.1970 2023-12-23 11:33:13,120 - pyskl - INFO - Epoch [38][700/1281] lr: 2.133e-02, eta: 16:41:45, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8631, top5_acc: 0.9969, loss_cls: 2.1717, loss: 2.1717 2023-12-23 11:33:57,435 - pyskl - INFO - Epoch [38][800/1281] lr: 2.132e-02, eta: 16:41:11, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8825, top5_acc: 0.9962, loss_cls: 2.1195, loss: 2.1195 2023-12-23 11:34:41,061 - pyskl - INFO - Epoch [38][900/1281] lr: 2.130e-02, eta: 16:40:35, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8719, top5_acc: 0.9956, loss_cls: 2.1631, loss: 2.1631 2023-12-23 11:35:23,141 - pyskl - INFO - Epoch [38][1000/1281] lr: 2.129e-02, eta: 16:39:55, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.8606, top5_acc: 0.9956, loss_cls: 2.1987, loss: 2.1987 2023-12-23 11:36:07,042 - pyskl - INFO - Epoch [38][1100/1281] lr: 2.127e-02, eta: 16:39:19, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8625, top5_acc: 0.9956, loss_cls: 2.1882, loss: 2.1882 2023-12-23 11:36:49,398 - pyskl - INFO - Epoch [38][1200/1281] lr: 2.126e-02, eta: 16:38:39, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 2.1442, loss: 2.1442 2023-12-23 11:37:11,748 - pyskl - INFO - Saving checkpoint at 38 epochs 2023-12-23 11:38:17,596 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:38:17,665 - pyskl - INFO - top1_acc 0.8227 top5_acc 0.9887 2023-12-23 11:38:17,665 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:38:17,677 - pyskl - INFO - mean_acc 0.7685 2023-12-23 11:38:17,680 - pyskl - INFO - Epoch(val) [38][533] top1_acc: 0.8227, top5_acc: 0.9887, mean_class_accuracy: 0.7685 2023-12-23 11:39:19,870 - pyskl - INFO - Epoch [39][100/1281] lr: 2.123e-02, eta: 16:36:45, time: 0.622, data_time: 0.200, memory: 4130, top1_acc: 0.8812, top5_acc: 0.9950, loss_cls: 2.1427, loss: 2.1427 2023-12-23 11:40:02,413 - pyskl - INFO - Epoch [39][200/1281] lr: 2.122e-02, eta: 16:36:05, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 2.0853, loss: 2.0853 2023-12-23 11:40:44,881 - pyskl - INFO - Epoch [39][300/1281] lr: 2.120e-02, eta: 16:35:26, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8875, top5_acc: 0.9975, loss_cls: 2.1070, loss: 2.1070 2023-12-23 11:41:29,280 - pyskl - INFO - Epoch [39][400/1281] lr: 2.119e-02, eta: 16:34:52, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8819, top5_acc: 0.9975, loss_cls: 2.1170, loss: 2.1170 2023-12-23 11:42:13,747 - pyskl - INFO - Epoch [39][500/1281] lr: 2.117e-02, eta: 16:34:18, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8688, top5_acc: 0.9956, loss_cls: 2.1813, loss: 2.1813 2023-12-23 11:42:57,167 - pyskl - INFO - Epoch [39][600/1281] lr: 2.116e-02, eta: 16:33:41, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.8756, top5_acc: 0.9962, loss_cls: 2.1529, loss: 2.1529 2023-12-23 11:43:41,659 - pyskl - INFO - Epoch [39][700/1281] lr: 2.114e-02, eta: 16:33:08, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9944, loss_cls: 2.1488, loss: 2.1488 2023-12-23 11:44:24,587 - pyskl - INFO - Epoch [39][800/1281] lr: 2.113e-02, eta: 16:32:29, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8738, top5_acc: 0.9956, loss_cls: 2.1307, loss: 2.1307 2023-12-23 11:45:07,063 - pyskl - INFO - Epoch [39][900/1281] lr: 2.111e-02, eta: 16:31:50, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8812, top5_acc: 0.9988, loss_cls: 2.1417, loss: 2.1417 2023-12-23 11:45:49,670 - pyskl - INFO - Epoch [39][1000/1281] lr: 2.110e-02, eta: 16:31:10, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8688, top5_acc: 0.9944, loss_cls: 2.1741, loss: 2.1741 2023-12-23 11:46:31,915 - pyskl - INFO - Epoch [39][1100/1281] lr: 2.108e-02, eta: 16:30:30, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8731, top5_acc: 0.9950, loss_cls: 2.1611, loss: 2.1611 2023-12-23 11:47:15,271 - pyskl - INFO - Epoch [39][1200/1281] lr: 2.107e-02, eta: 16:29:53, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9912, loss_cls: 2.1586, loss: 2.1586 2023-12-23 11:47:39,364 - pyskl - INFO - Saving checkpoint at 39 epochs 2023-12-23 11:48:45,367 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:48:45,425 - pyskl - INFO - top1_acc 0.8129 top5_acc 0.9872 2023-12-23 11:48:45,425 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:48:45,433 - pyskl - INFO - mean_acc 0.7464 2023-12-23 11:48:45,435 - pyskl - INFO - Epoch(val) [39][533] top1_acc: 0.8129, top5_acc: 0.9872, mean_class_accuracy: 0.7464 2023-12-23 11:49:51,885 - pyskl - INFO - Epoch [40][100/1281] lr: 2.104e-02, eta: 16:28:11, time: 0.664, data_time: 0.223, memory: 4130, top1_acc: 0.8919, top5_acc: 0.9969, loss_cls: 2.1222, loss: 2.1222 2023-12-23 11:50:35,489 - pyskl - INFO - Epoch [40][200/1281] lr: 2.103e-02, eta: 16:27:35, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8906, top5_acc: 0.9969, loss_cls: 2.0982, loss: 2.0982 2023-12-23 11:51:19,874 - pyskl - INFO - Epoch [40][300/1281] lr: 2.101e-02, eta: 16:27:01, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8825, top5_acc: 0.9975, loss_cls: 2.1259, loss: 2.1259 2023-12-23 11:52:04,405 - pyskl - INFO - Epoch [40][400/1281] lr: 2.100e-02, eta: 16:26:27, time: 0.445, data_time: 0.000, memory: 4130, top1_acc: 0.8675, top5_acc: 0.9950, loss_cls: 2.1768, loss: 2.1768 2023-12-23 11:52:48,431 - pyskl - INFO - Epoch [40][500/1281] lr: 2.098e-02, eta: 16:25:52, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8775, top5_acc: 0.9962, loss_cls: 2.1544, loss: 2.1544 2023-12-23 11:53:32,551 - pyskl - INFO - Epoch [40][600/1281] lr: 2.097e-02, eta: 16:25:17, time: 0.441, data_time: 0.000, memory: 4130, top1_acc: 0.8681, top5_acc: 0.9931, loss_cls: 2.1801, loss: 2.1801 2023-12-23 11:54:14,743 - pyskl - INFO - Epoch [40][700/1281] lr: 2.095e-02, eta: 16:24:36, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8850, top5_acc: 0.9969, loss_cls: 2.1519, loss: 2.1519 2023-12-23 11:54:57,269 - pyskl - INFO - Epoch [40][800/1281] lr: 2.094e-02, eta: 16:23:56, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8888, top5_acc: 0.9956, loss_cls: 2.1264, loss: 2.1264 2023-12-23 11:55:39,673 - pyskl - INFO - Epoch [40][900/1281] lr: 2.092e-02, eta: 16:23:16, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8706, top5_acc: 0.9950, loss_cls: 2.1523, loss: 2.1523 2023-12-23 11:56:24,118 - pyskl - INFO - Epoch [40][1000/1281] lr: 2.091e-02, eta: 16:22:42, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8731, top5_acc: 0.9925, loss_cls: 2.1740, loss: 2.1740 2023-12-23 11:57:08,173 - pyskl - INFO - Epoch [40][1100/1281] lr: 2.089e-02, eta: 16:22:07, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.8800, top5_acc: 0.9956, loss_cls: 2.1263, loss: 2.1263 2023-12-23 11:57:52,232 - pyskl - INFO - Epoch [40][1200/1281] lr: 2.088e-02, eta: 16:21:31, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.8738, top5_acc: 0.9969, loss_cls: 2.1402, loss: 2.1402 2023-12-23 11:58:14,178 - pyskl - INFO - Saving checkpoint at 40 epochs 2023-12-23 11:59:19,596 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 11:59:19,653 - pyskl - INFO - top1_acc 0.8351 top5_acc 0.9880 2023-12-23 11:59:19,653 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 11:59:19,673 - pyskl - INFO - mean_acc 0.7703 2023-12-23 11:59:19,676 - pyskl - INFO - Epoch(val) [40][533] top1_acc: 0.8351, top5_acc: 0.9880, mean_class_accuracy: 0.7703 2023-12-23 12:00:25,464 - pyskl - INFO - Epoch [41][100/1281] lr: 2.085e-02, eta: 16:19:49, time: 0.658, data_time: 0.231, memory: 4130, top1_acc: 0.8825, top5_acc: 0.9956, loss_cls: 2.1482, loss: 2.1482 2023-12-23 12:01:08,868 - pyskl - INFO - Epoch [41][200/1281] lr: 2.083e-02, eta: 16:19:11, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8894, top5_acc: 0.9944, loss_cls: 2.1499, loss: 2.1499 2023-12-23 12:01:51,270 - pyskl - INFO - Epoch [41][300/1281] lr: 2.082e-02, eta: 16:18:31, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9969, loss_cls: 2.1464, loss: 2.1464 2023-12-23 12:02:34,576 - pyskl - INFO - Epoch [41][400/1281] lr: 2.080e-02, eta: 16:17:54, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9969, loss_cls: 2.1669, loss: 2.1669 2023-12-23 12:03:19,148 - pyskl - INFO - Epoch [41][500/1281] lr: 2.079e-02, eta: 16:17:20, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8900, top5_acc: 0.9988, loss_cls: 2.0894, loss: 2.0894 2023-12-23 12:04:03,626 - pyskl - INFO - Epoch [41][600/1281] lr: 2.077e-02, eta: 16:16:45, time: 0.445, data_time: 0.000, memory: 4130, top1_acc: 0.8706, top5_acc: 0.9956, loss_cls: 2.1812, loss: 2.1812 2023-12-23 12:04:46,362 - pyskl - INFO - Epoch [41][700/1281] lr: 2.076e-02, eta: 16:16:06, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8800, top5_acc: 0.9975, loss_cls: 2.1278, loss: 2.1278 2023-12-23 12:05:29,196 - pyskl - INFO - Epoch [41][800/1281] lr: 2.074e-02, eta: 16:15:27, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.8738, top5_acc: 0.9956, loss_cls: 2.1496, loss: 2.1496 2023-12-23 12:06:12,219 - pyskl - INFO - Epoch [41][900/1281] lr: 2.073e-02, eta: 16:14:49, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9938, loss_cls: 2.1603, loss: 2.1603 2023-12-23 12:06:56,578 - pyskl - INFO - Epoch [41][1000/1281] lr: 2.071e-02, eta: 16:14:14, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9925, loss_cls: 2.1823, loss: 2.1823 2023-12-23 12:07:41,042 - pyskl - INFO - Epoch [41][1100/1281] lr: 2.070e-02, eta: 16:13:39, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9956, loss_cls: 2.1657, loss: 2.1657 2023-12-23 12:08:24,331 - pyskl - INFO - Epoch [41][1200/1281] lr: 2.068e-02, eta: 16:13:02, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8631, top5_acc: 0.9956, loss_cls: 2.1602, loss: 2.1602 2023-12-23 12:08:45,989 - pyskl - INFO - Saving checkpoint at 41 epochs 2023-12-23 12:09:48,161 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 12:09:48,229 - pyskl - INFO - top1_acc 0.8368 top5_acc 0.9894 2023-12-23 12:09:48,229 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 12:09:48,240 - pyskl - INFO - mean_acc 0.7629 2023-12-23 12:09:48,244 - pyskl - INFO - Epoch(val) [41][533] top1_acc: 0.8368, top5_acc: 0.9894, mean_class_accuracy: 0.7629 2023-12-23 12:10:53,750 - pyskl - INFO - Epoch [42][100/1281] lr: 2.065e-02, eta: 16:11:19, time: 0.655, data_time: 0.227, memory: 4130, top1_acc: 0.8844, top5_acc: 0.9950, loss_cls: 2.1219, loss: 2.1219 2023-12-23 12:11:38,323 - pyskl - INFO - Epoch [42][200/1281] lr: 2.064e-02, eta: 16:10:45, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8744, top5_acc: 0.9931, loss_cls: 2.1557, loss: 2.1557 2023-12-23 12:12:21,291 - pyskl - INFO - Epoch [42][300/1281] lr: 2.062e-02, eta: 16:10:06, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 2.0767, loss: 2.0767 2023-12-23 12:13:04,505 - pyskl - INFO - Epoch [42][400/1281] lr: 2.061e-02, eta: 16:09:28, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8875, top5_acc: 0.9962, loss_cls: 2.1042, loss: 2.1042 2023-12-23 12:13:47,947 - pyskl - INFO - Epoch [42][500/1281] lr: 2.059e-02, eta: 16:08:51, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8794, top5_acc: 0.9962, loss_cls: 2.1402, loss: 2.1402 2023-12-23 12:14:32,766 - pyskl - INFO - Epoch [42][600/1281] lr: 2.057e-02, eta: 16:08:17, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9919, loss_cls: 2.1420, loss: 2.1420 2023-12-23 12:15:17,203 - pyskl - INFO - Epoch [42][700/1281] lr: 2.056e-02, eta: 16:07:42, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9900, loss_cls: 2.1714, loss: 2.1714 2023-12-23 12:16:00,102 - pyskl - INFO - Epoch [42][800/1281] lr: 2.054e-02, eta: 16:07:03, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8750, top5_acc: 0.9950, loss_cls: 2.1373, loss: 2.1373 2023-12-23 12:16:42,748 - pyskl - INFO - Epoch [42][900/1281] lr: 2.053e-02, eta: 16:06:23, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8669, top5_acc: 0.9931, loss_cls: 2.1709, loss: 2.1709 2023-12-23 12:17:24,923 - pyskl - INFO - Epoch [42][1000/1281] lr: 2.051e-02, eta: 16:05:43, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.8712, top5_acc: 0.9938, loss_cls: 2.1552, loss: 2.1552 2023-12-23 12:18:07,262 - pyskl - INFO - Epoch [42][1100/1281] lr: 2.050e-02, eta: 16:05:02, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9975, loss_cls: 2.1288, loss: 2.1288 2023-12-23 12:18:51,486 - pyskl - INFO - Epoch [42][1200/1281] lr: 2.048e-02, eta: 16:04:27, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8875, top5_acc: 0.9950, loss_cls: 2.1442, loss: 2.1442 2023-12-23 12:19:12,940 - pyskl - INFO - Saving checkpoint at 42 epochs 2023-12-23 12:20:17,120 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 12:20:17,202 - pyskl - INFO - top1_acc 0.8265 top5_acc 0.9901 2023-12-23 12:20:17,203 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 12:20:17,212 - pyskl - INFO - mean_acc 0.7654 2023-12-23 12:20:17,216 - pyskl - INFO - Epoch(val) [42][533] top1_acc: 0.8265, top5_acc: 0.9901, mean_class_accuracy: 0.7654 2023-12-23 12:21:20,971 - pyskl - INFO - Epoch [43][100/1281] lr: 2.045e-02, eta: 16:02:40, time: 0.637, data_time: 0.207, memory: 4130, top1_acc: 0.8925, top5_acc: 0.9969, loss_cls: 2.1024, loss: 2.1024 2023-12-23 12:22:04,763 - pyskl - INFO - Epoch [43][200/1281] lr: 2.044e-02, eta: 16:02:04, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 2.0726, loss: 2.0726 2023-12-23 12:22:49,148 - pyskl - INFO - Epoch [43][300/1281] lr: 2.042e-02, eta: 16:01:29, time: 0.444, data_time: 0.000, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9969, loss_cls: 2.1454, loss: 2.1454 2023-12-23 12:23:33,579 - pyskl - INFO - Epoch [43][400/1281] lr: 2.040e-02, eta: 16:00:54, time: 0.444, data_time: 0.000, memory: 4130, top1_acc: 0.8700, top5_acc: 0.9944, loss_cls: 2.1692, loss: 2.1692 2023-12-23 12:24:17,810 - pyskl - INFO - Epoch [43][500/1281] lr: 2.039e-02, eta: 16:00:18, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8819, top5_acc: 0.9912, loss_cls: 2.1494, loss: 2.1494 2023-12-23 12:25:01,478 - pyskl - INFO - Epoch [43][600/1281] lr: 2.037e-02, eta: 15:59:41, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8794, top5_acc: 0.9975, loss_cls: 2.1216, loss: 2.1216 2023-12-23 12:25:43,626 - pyskl - INFO - Epoch [43][700/1281] lr: 2.036e-02, eta: 15:59:00, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.8712, top5_acc: 0.9912, loss_cls: 2.1839, loss: 2.1839 2023-12-23 12:26:27,646 - pyskl - INFO - Epoch [43][800/1281] lr: 2.034e-02, eta: 15:58:24, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8706, top5_acc: 0.9938, loss_cls: 2.1529, loss: 2.1529 2023-12-23 12:27:11,378 - pyskl - INFO - Epoch [43][900/1281] lr: 2.033e-02, eta: 15:57:47, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8825, top5_acc: 0.9950, loss_cls: 2.1332, loss: 2.1332 2023-12-23 12:27:55,666 - pyskl - INFO - Epoch [43][1000/1281] lr: 2.031e-02, eta: 15:57:11, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9950, loss_cls: 2.1545, loss: 2.1545 2023-12-23 12:28:39,667 - pyskl - INFO - Epoch [43][1100/1281] lr: 2.029e-02, eta: 15:56:35, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8669, top5_acc: 0.9950, loss_cls: 2.2061, loss: 2.2061 2023-12-23 12:29:23,107 - pyskl - INFO - Epoch [43][1200/1281] lr: 2.028e-02, eta: 15:55:57, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8850, top5_acc: 0.9931, loss_cls: 2.1227, loss: 2.1227 2023-12-23 12:29:44,529 - pyskl - INFO - Saving checkpoint at 43 epochs 2023-12-23 12:30:49,251 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 12:30:49,313 - pyskl - INFO - top1_acc 0.8104 top5_acc 0.9827 2023-12-23 12:30:49,313 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 12:30:49,326 - pyskl - INFO - mean_acc 0.7799 2023-12-23 12:30:49,332 - pyskl - INFO - Epoch(val) [43][533] top1_acc: 0.8104, top5_acc: 0.9827, mean_class_accuracy: 0.7799 2023-12-23 12:31:56,246 - pyskl - INFO - Epoch [44][100/1281] lr: 2.025e-02, eta: 15:54:20, time: 0.669, data_time: 0.227, memory: 4130, top1_acc: 0.8944, top5_acc: 0.9956, loss_cls: 2.1207, loss: 2.1207 2023-12-23 12:32:39,989 - pyskl - INFO - Epoch [44][200/1281] lr: 2.023e-02, eta: 15:53:43, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8750, top5_acc: 0.9944, loss_cls: 2.1634, loss: 2.1634 2023-12-23 12:33:22,709 - pyskl - INFO - Epoch [44][300/1281] lr: 2.022e-02, eta: 15:53:03, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.8931, top5_acc: 0.9988, loss_cls: 2.1137, loss: 2.1137 2023-12-23 12:34:06,532 - pyskl - INFO - Epoch [44][400/1281] lr: 2.020e-02, eta: 15:52:26, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8831, top5_acc: 0.9975, loss_cls: 2.1468, loss: 2.1468 2023-12-23 12:34:49,934 - pyskl - INFO - Epoch [44][500/1281] lr: 2.018e-02, eta: 15:51:48, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8944, top5_acc: 0.9988, loss_cls: 2.0901, loss: 2.0901 2023-12-23 12:35:34,446 - pyskl - INFO - Epoch [44][600/1281] lr: 2.017e-02, eta: 15:51:13, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9000, top5_acc: 0.9981, loss_cls: 2.1161, loss: 2.1161 2023-12-23 12:36:18,014 - pyskl - INFO - Epoch [44][700/1281] lr: 2.015e-02, eta: 15:50:35, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8975, top5_acc: 0.9944, loss_cls: 2.1072, loss: 2.1072 2023-12-23 12:36:59,991 - pyskl - INFO - Epoch [44][800/1281] lr: 2.014e-02, eta: 15:49:54, time: 0.420, data_time: 0.001, memory: 4130, top1_acc: 0.8988, top5_acc: 0.9994, loss_cls: 2.0755, loss: 2.0755 2023-12-23 12:37:42,686 - pyskl - INFO - Epoch [44][900/1281] lr: 2.012e-02, eta: 15:49:14, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8769, top5_acc: 0.9944, loss_cls: 2.1646, loss: 2.1646 2023-12-23 12:38:27,492 - pyskl - INFO - Epoch [44][1000/1281] lr: 2.010e-02, eta: 15:48:40, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.8562, top5_acc: 0.9938, loss_cls: 2.1970, loss: 2.1970 2023-12-23 12:39:12,100 - pyskl - INFO - Epoch [44][1100/1281] lr: 2.009e-02, eta: 15:48:05, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8744, top5_acc: 0.9956, loss_cls: 2.1673, loss: 2.1673 2023-12-23 12:39:56,738 - pyskl - INFO - Epoch [44][1200/1281] lr: 2.007e-02, eta: 15:47:29, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8812, top5_acc: 0.9975, loss_cls: 2.1267, loss: 2.1267 2023-12-23 12:40:18,975 - pyskl - INFO - Saving checkpoint at 44 epochs 2023-12-23 12:41:21,746 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 12:41:21,821 - pyskl - INFO - top1_acc 0.8505 top5_acc 0.9901 2023-12-23 12:41:21,821 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 12:41:21,838 - pyskl - INFO - mean_acc 0.7880 2023-12-23 12:41:21,855 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_36.pth was removed 2023-12-23 12:41:22,133 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_44.pth. 2023-12-23 12:41:22,134 - pyskl - INFO - Best top1_acc is 0.8505 at 44 epoch. 2023-12-23 12:41:22,139 - pyskl - INFO - Epoch(val) [44][533] top1_acc: 0.8505, top5_acc: 0.9901, mean_class_accuracy: 0.7880 2023-12-23 12:42:30,331 - pyskl - INFO - Epoch [45][100/1281] lr: 2.004e-02, eta: 15:45:56, time: 0.682, data_time: 0.234, memory: 4130, top1_acc: 0.8931, top5_acc: 0.9981, loss_cls: 2.0974, loss: 2.0974 2023-12-23 12:43:14,698 - pyskl - INFO - Epoch [45][200/1281] lr: 2.003e-02, eta: 15:45:20, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9975, loss_cls: 2.0574, loss: 2.0574 2023-12-23 12:43:57,312 - pyskl - INFO - Epoch [45][300/1281] lr: 2.001e-02, eta: 15:44:40, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8925, top5_acc: 0.9962, loss_cls: 2.1132, loss: 2.1132 2023-12-23 12:44:39,469 - pyskl - INFO - Epoch [45][400/1281] lr: 1.999e-02, eta: 15:43:59, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9969, loss_cls: 2.1349, loss: 2.1349 2023-12-23 12:45:23,561 - pyskl - INFO - Epoch [45][500/1281] lr: 1.998e-02, eta: 15:43:22, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.8594, top5_acc: 0.9938, loss_cls: 2.1963, loss: 2.1963 2023-12-23 12:46:08,099 - pyskl - INFO - Epoch [45][600/1281] lr: 1.996e-02, eta: 15:42:47, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9931, loss_cls: 2.1457, loss: 2.1457 2023-12-23 12:46:52,513 - pyskl - INFO - Epoch [45][700/1281] lr: 1.994e-02, eta: 15:42:11, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9962, loss_cls: 2.1399, loss: 2.1399 2023-12-23 12:47:37,191 - pyskl - INFO - Epoch [45][800/1281] lr: 1.993e-02, eta: 15:41:36, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.8712, top5_acc: 0.9938, loss_cls: 2.1619, loss: 2.1619 2023-12-23 12:48:20,177 - pyskl - INFO - Epoch [45][900/1281] lr: 1.991e-02, eta: 15:40:57, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8806, top5_acc: 0.9956, loss_cls: 2.1450, loss: 2.1450 2023-12-23 12:49:03,510 - pyskl - INFO - Epoch [45][1000/1281] lr: 1.989e-02, eta: 15:40:18, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8944, top5_acc: 0.9969, loss_cls: 2.0810, loss: 2.0810 2023-12-23 12:49:46,167 - pyskl - INFO - Epoch [45][1100/1281] lr: 1.988e-02, eta: 15:39:38, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8794, top5_acc: 0.9938, loss_cls: 2.1532, loss: 2.1532 2023-12-23 12:50:30,676 - pyskl - INFO - Epoch [45][1200/1281] lr: 1.986e-02, eta: 15:39:03, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9938, loss_cls: 2.1630, loss: 2.1630 2023-12-23 12:50:53,700 - pyskl - INFO - Saving checkpoint at 45 epochs 2023-12-23 12:52:00,750 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 12:52:00,811 - pyskl - INFO - top1_acc 0.7977 top5_acc 0.9810 2023-12-23 12:52:00,812 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 12:52:00,830 - pyskl - INFO - mean_acc 0.7551 2023-12-23 12:52:00,834 - pyskl - INFO - Epoch(val) [45][533] top1_acc: 0.7977, top5_acc: 0.9810, mean_class_accuracy: 0.7551 2023-12-23 12:53:05,392 - pyskl - INFO - Epoch [46][100/1281] lr: 1.983e-02, eta: 15:37:21, time: 0.646, data_time: 0.218, memory: 4130, top1_acc: 0.8881, top5_acc: 0.9931, loss_cls: 2.1352, loss: 2.1352 2023-12-23 12:53:50,002 - pyskl - INFO - Epoch [46][200/1281] lr: 1.981e-02, eta: 15:36:45, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8969, top5_acc: 0.9975, loss_cls: 2.0923, loss: 2.0923 2023-12-23 12:54:34,909 - pyskl - INFO - Epoch [46][300/1281] lr: 1.980e-02, eta: 15:36:11, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.8931, top5_acc: 0.9944, loss_cls: 2.1212, loss: 2.1212 2023-12-23 12:55:18,505 - pyskl - INFO - Epoch [46][400/1281] lr: 1.978e-02, eta: 15:35:33, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.8831, top5_acc: 0.9988, loss_cls: 2.1107, loss: 2.1107 2023-12-23 12:56:02,520 - pyskl - INFO - Epoch [46][500/1281] lr: 1.976e-02, eta: 15:34:56, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.9100, top5_acc: 0.9975, loss_cls: 2.0426, loss: 2.0426 2023-12-23 12:56:44,895 - pyskl - INFO - Epoch [46][600/1281] lr: 1.975e-02, eta: 15:34:15, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 2.1006, loss: 2.1006 2023-12-23 12:57:27,334 - pyskl - INFO - Epoch [46][700/1281] lr: 1.973e-02, eta: 15:33:35, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9038, top5_acc: 0.9981, loss_cls: 2.0807, loss: 2.0807 2023-12-23 12:58:09,943 - pyskl - INFO - Epoch [46][800/1281] lr: 1.971e-02, eta: 15:32:55, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9969, loss_cls: 2.1524, loss: 2.1524 2023-12-23 12:58:54,381 - pyskl - INFO - Epoch [46][900/1281] lr: 1.970e-02, eta: 15:32:19, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8544, top5_acc: 0.9938, loss_cls: 2.1943, loss: 2.1943 2023-12-23 12:59:38,838 - pyskl - INFO - Epoch [46][1000/1281] lr: 1.968e-02, eta: 15:31:43, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8769, top5_acc: 0.9962, loss_cls: 2.1380, loss: 2.1380 2023-12-23 13:00:22,385 - pyskl - INFO - Epoch [46][1100/1281] lr: 1.966e-02, eta: 15:31:04, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.8856, top5_acc: 0.9975, loss_cls: 2.1399, loss: 2.1399 2023-12-23 13:01:06,148 - pyskl - INFO - Epoch [46][1200/1281] lr: 1.965e-02, eta: 15:30:27, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9962, loss_cls: 2.1437, loss: 2.1437 2023-12-23 13:01:29,320 - pyskl - INFO - Saving checkpoint at 46 epochs 2023-12-23 13:02:36,140 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:02:36,205 - pyskl - INFO - top1_acc 0.8573 top5_acc 0.9928 2023-12-23 13:02:36,206 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:02:36,226 - pyskl - INFO - mean_acc 0.7975 2023-12-23 13:02:36,231 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_44.pth was removed 2023-12-23 13:02:36,619 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. 2023-12-23 13:02:36,619 - pyskl - INFO - Best top1_acc is 0.8573 at 46 epoch. 2023-12-23 13:02:36,629 - pyskl - INFO - Epoch(val) [46][533] top1_acc: 0.8573, top5_acc: 0.9928, mean_class_accuracy: 0.7975 2023-12-23 13:03:42,106 - pyskl - INFO - Epoch [47][100/1281] lr: 1.962e-02, eta: 15:28:48, time: 0.655, data_time: 0.234, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 2.0762, loss: 2.0762 2023-12-23 13:04:26,022 - pyskl - INFO - Epoch [47][200/1281] lr: 1.960e-02, eta: 15:28:10, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8688, top5_acc: 0.9962, loss_cls: 2.1461, loss: 2.1461 2023-12-23 13:05:10,528 - pyskl - INFO - Epoch [47][300/1281] lr: 1.958e-02, eta: 15:27:35, time: 0.445, data_time: 0.000, memory: 4130, top1_acc: 0.9038, top5_acc: 1.0000, loss_cls: 2.0818, loss: 2.0818 2023-12-23 13:05:55,027 - pyskl - INFO - Epoch [47][400/1281] lr: 1.957e-02, eta: 15:26:59, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9012, top5_acc: 0.9950, loss_cls: 2.1011, loss: 2.1011 2023-12-23 13:06:39,738 - pyskl - INFO - Epoch [47][500/1281] lr: 1.955e-02, eta: 15:26:23, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9950, loss_cls: 2.1220, loss: 2.1220 2023-12-23 13:07:21,959 - pyskl - INFO - Epoch [47][600/1281] lr: 1.953e-02, eta: 15:25:42, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9956, loss_cls: 2.1417, loss: 2.1417 2023-12-23 13:08:04,780 - pyskl - INFO - Epoch [47][700/1281] lr: 1.952e-02, eta: 15:25:02, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.8888, top5_acc: 0.9956, loss_cls: 2.0971, loss: 2.0971 2023-12-23 13:08:48,448 - pyskl - INFO - Epoch [47][800/1281] lr: 1.950e-02, eta: 15:24:24, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.8881, top5_acc: 0.9950, loss_cls: 2.1119, loss: 2.1119 2023-12-23 13:09:32,524 - pyskl - INFO - Epoch [47][900/1281] lr: 1.948e-02, eta: 15:23:47, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9944, loss_cls: 2.1442, loss: 2.1442 2023-12-23 13:10:14,944 - pyskl - INFO - Epoch [47][1000/1281] lr: 1.947e-02, eta: 15:23:06, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8906, top5_acc: 0.9988, loss_cls: 2.1023, loss: 2.1023 2023-12-23 13:10:57,102 - pyskl - INFO - Epoch [47][1100/1281] lr: 1.945e-02, eta: 15:22:25, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9950, loss_cls: 2.1755, loss: 2.1755 2023-12-23 13:11:39,304 - pyskl - INFO - Epoch [47][1200/1281] lr: 1.943e-02, eta: 15:21:44, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.9031, top5_acc: 0.9944, loss_cls: 2.0940, loss: 2.0940 2023-12-23 13:12:01,906 - pyskl - INFO - Saving checkpoint at 47 epochs 2023-12-23 13:13:08,411 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:13:08,484 - pyskl - INFO - top1_acc 0.8444 top5_acc 0.9852 2023-12-23 13:13:08,484 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:13:08,494 - pyskl - INFO - mean_acc 0.7858 2023-12-23 13:13:08,509 - pyskl - INFO - Epoch(val) [47][533] top1_acc: 0.8444, top5_acc: 0.9852, mean_class_accuracy: 0.7858 2023-12-23 13:14:14,482 - pyskl - INFO - Epoch [48][100/1281] lr: 1.940e-02, eta: 15:20:07, time: 0.660, data_time: 0.228, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9969, loss_cls: 2.0845, loss: 2.0845 2023-12-23 13:14:58,093 - pyskl - INFO - Epoch [48][200/1281] lr: 1.938e-02, eta: 15:19:28, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 2.0687, loss: 2.0687 2023-12-23 13:15:42,649 - pyskl - INFO - Epoch [48][300/1281] lr: 1.937e-02, eta: 15:18:52, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 2.0927, loss: 2.0927 2023-12-23 13:16:27,162 - pyskl - INFO - Epoch [48][400/1281] lr: 1.935e-02, eta: 15:18:16, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8856, top5_acc: 0.9981, loss_cls: 2.0976, loss: 2.0976 2023-12-23 13:17:11,881 - pyskl - INFO - Epoch [48][500/1281] lr: 1.933e-02, eta: 15:17:40, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.8669, top5_acc: 0.9919, loss_cls: 2.1824, loss: 2.1824 2023-12-23 13:17:56,161 - pyskl - INFO - Epoch [48][600/1281] lr: 1.932e-02, eta: 15:17:04, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8819, top5_acc: 0.9950, loss_cls: 2.1406, loss: 2.1406 2023-12-23 13:18:39,685 - pyskl - INFO - Epoch [48][700/1281] lr: 1.930e-02, eta: 15:16:25, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 2.0848, loss: 2.0848 2023-12-23 13:19:24,147 - pyskl - INFO - Epoch [48][800/1281] lr: 1.928e-02, eta: 15:15:49, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9975, loss_cls: 2.0634, loss: 2.0634 2023-12-23 13:20:07,716 - pyskl - INFO - Epoch [48][900/1281] lr: 1.926e-02, eta: 15:15:11, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8750, top5_acc: 0.9962, loss_cls: 2.1493, loss: 2.1493 2023-12-23 13:20:51,076 - pyskl - INFO - Epoch [48][1000/1281] lr: 1.925e-02, eta: 15:14:32, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8738, top5_acc: 0.9888, loss_cls: 2.1997, loss: 2.1997 2023-12-23 13:21:33,928 - pyskl - INFO - Epoch [48][1100/1281] lr: 1.923e-02, eta: 15:13:52, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8875, top5_acc: 0.9981, loss_cls: 2.1322, loss: 2.1322 2023-12-23 13:22:17,803 - pyskl - INFO - Epoch [48][1200/1281] lr: 1.921e-02, eta: 15:13:14, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8888, top5_acc: 0.9944, loss_cls: 2.1314, loss: 2.1314 2023-12-23 13:22:41,586 - pyskl - INFO - Saving checkpoint at 48 epochs 2023-12-23 13:23:49,444 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:23:49,512 - pyskl - INFO - top1_acc 0.8560 top5_acc 0.9911 2023-12-23 13:23:49,512 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:23:49,521 - pyskl - INFO - mean_acc 0.8089 2023-12-23 13:23:49,524 - pyskl - INFO - Epoch(val) [48][533] top1_acc: 0.8560, top5_acc: 0.9911, mean_class_accuracy: 0.8089 2023-12-23 13:24:55,363 - pyskl - INFO - Epoch [49][100/1281] lr: 1.918e-02, eta: 15:11:37, time: 0.658, data_time: 0.232, memory: 4130, top1_acc: 0.8969, top5_acc: 0.9956, loss_cls: 2.0895, loss: 2.0895 2023-12-23 13:25:37,951 - pyskl - INFO - Epoch [49][200/1281] lr: 1.916e-02, eta: 15:10:57, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8962, top5_acc: 0.9969, loss_cls: 2.0767, loss: 2.0767 2023-12-23 13:26:19,971 - pyskl - INFO - Epoch [49][300/1281] lr: 1.915e-02, eta: 15:10:15, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.8900, top5_acc: 0.9969, loss_cls: 2.1009, loss: 2.1009 2023-12-23 13:27:02,486 - pyskl - INFO - Epoch [49][400/1281] lr: 1.913e-02, eta: 15:09:34, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8912, top5_acc: 0.9962, loss_cls: 2.1234, loss: 2.1234 2023-12-23 13:27:44,821 - pyskl - INFO - Epoch [49][500/1281] lr: 1.911e-02, eta: 15:08:54, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8856, top5_acc: 0.9969, loss_cls: 2.1334, loss: 2.1334 2023-12-23 13:28:27,781 - pyskl - INFO - Epoch [49][600/1281] lr: 1.909e-02, eta: 15:08:14, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.9012, top5_acc: 0.9969, loss_cls: 2.0818, loss: 2.0818 2023-12-23 13:29:10,639 - pyskl - INFO - Epoch [49][700/1281] lr: 1.908e-02, eta: 15:07:34, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8894, top5_acc: 0.9975, loss_cls: 2.1041, loss: 2.1041 2023-12-23 13:29:53,694 - pyskl - INFO - Epoch [49][800/1281] lr: 1.906e-02, eta: 15:06:54, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.8988, top5_acc: 0.9962, loss_cls: 2.0979, loss: 2.0979 2023-12-23 13:30:36,082 - pyskl - INFO - Epoch [49][900/1281] lr: 1.904e-02, eta: 15:06:14, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9975, loss_cls: 2.0626, loss: 2.0626 2023-12-23 13:31:18,709 - pyskl - INFO - Epoch [49][1000/1281] lr: 1.902e-02, eta: 15:05:33, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.8912, top5_acc: 0.9969, loss_cls: 2.1014, loss: 2.1014 2023-12-23 13:32:01,285 - pyskl - INFO - Epoch [49][1100/1281] lr: 1.901e-02, eta: 15:04:53, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8875, top5_acc: 0.9956, loss_cls: 2.1179, loss: 2.1179 2023-12-23 13:32:44,412 - pyskl - INFO - Epoch [49][1200/1281] lr: 1.899e-02, eta: 15:04:13, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9938, loss_cls: 2.1660, loss: 2.1660 2023-12-23 13:33:07,983 - pyskl - INFO - Saving checkpoint at 49 epochs 2023-12-23 13:34:12,977 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:34:13,044 - pyskl - INFO - top1_acc 0.8337 top5_acc 0.9853 2023-12-23 13:34:13,045 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:34:13,058 - pyskl - INFO - mean_acc 0.8076 2023-12-23 13:34:13,064 - pyskl - INFO - Epoch(val) [49][533] top1_acc: 0.8337, top5_acc: 0.9853, mean_class_accuracy: 0.8076 2023-12-23 13:35:18,343 - pyskl - INFO - Epoch [50][100/1281] lr: 1.896e-02, eta: 15:02:36, time: 0.653, data_time: 0.209, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9975, loss_cls: 2.0801, loss: 2.0801 2023-12-23 13:36:03,069 - pyskl - INFO - Epoch [50][200/1281] lr: 1.894e-02, eta: 15:02:00, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9025, top5_acc: 0.9944, loss_cls: 2.0557, loss: 2.0557 2023-12-23 13:36:46,677 - pyskl - INFO - Epoch [50][300/1281] lr: 1.892e-02, eta: 15:01:21, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 2.0397, loss: 2.0397 2023-12-23 13:37:30,446 - pyskl - INFO - Epoch [50][400/1281] lr: 1.891e-02, eta: 15:00:43, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8838, top5_acc: 0.9988, loss_cls: 2.1383, loss: 2.1383 2023-12-23 13:38:14,858 - pyskl - INFO - Epoch [50][500/1281] lr: 1.889e-02, eta: 15:00:06, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8750, top5_acc: 0.9950, loss_cls: 2.1469, loss: 2.1469 2023-12-23 13:38:59,077 - pyskl - INFO - Epoch [50][600/1281] lr: 1.887e-02, eta: 14:59:29, time: 0.442, data_time: 0.000, memory: 4130, top1_acc: 0.8938, top5_acc: 0.9975, loss_cls: 2.0998, loss: 2.0998 2023-12-23 13:39:43,838 - pyskl - INFO - Epoch [50][700/1281] lr: 1.885e-02, eta: 14:58:53, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9938, loss_cls: 2.1526, loss: 2.1526 2023-12-23 13:40:26,923 - pyskl - INFO - Epoch [50][800/1281] lr: 1.884e-02, eta: 14:58:13, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8800, top5_acc: 0.9938, loss_cls: 2.1337, loss: 2.1337 2023-12-23 13:41:09,120 - pyskl - INFO - Epoch [50][900/1281] lr: 1.882e-02, eta: 14:57:32, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8831, top5_acc: 0.9950, loss_cls: 2.1385, loss: 2.1385 2023-12-23 13:41:51,622 - pyskl - INFO - Epoch [50][1000/1281] lr: 1.880e-02, eta: 14:56:51, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8875, top5_acc: 0.9944, loss_cls: 2.1303, loss: 2.1303 2023-12-23 13:42:34,258 - pyskl - INFO - Epoch [50][1100/1281] lr: 1.878e-02, eta: 14:56:11, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8900, top5_acc: 0.9981, loss_cls: 2.1034, loss: 2.1034 2023-12-23 13:43:18,569 - pyskl - INFO - Epoch [50][1200/1281] lr: 1.876e-02, eta: 14:55:34, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 0.8925, top5_acc: 1.0000, loss_cls: 2.0844, loss: 2.0844 2023-12-23 13:43:42,947 - pyskl - INFO - Saving checkpoint at 50 epochs 2023-12-23 13:44:49,370 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:44:49,430 - pyskl - INFO - top1_acc 0.8450 top5_acc 0.9899 2023-12-23 13:44:49,431 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:44:49,439 - pyskl - INFO - mean_acc 0.7798 2023-12-23 13:44:49,441 - pyskl - INFO - Epoch(val) [50][533] top1_acc: 0.8450, top5_acc: 0.9899, mean_class_accuracy: 0.7798 2023-12-23 13:45:55,495 - pyskl - INFO - Epoch [51][100/1281] lr: 1.873e-02, eta: 14:53:58, time: 0.660, data_time: 0.234, memory: 4130, top1_acc: 0.8975, top5_acc: 0.9981, loss_cls: 2.0772, loss: 2.0772 2023-12-23 13:46:38,627 - pyskl - INFO - Epoch [51][200/1281] lr: 1.871e-02, eta: 14:53:19, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9044, top5_acc: 0.9956, loss_cls: 2.0723, loss: 2.0723 2023-12-23 13:47:23,092 - pyskl - INFO - Epoch [51][300/1281] lr: 1.870e-02, eta: 14:52:42, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9044, top5_acc: 0.9962, loss_cls: 2.0915, loss: 2.0915 2023-12-23 13:48:07,547 - pyskl - INFO - Epoch [51][400/1281] lr: 1.868e-02, eta: 14:52:05, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8875, top5_acc: 0.9931, loss_cls: 2.1373, loss: 2.1373 2023-12-23 13:48:50,370 - pyskl - INFO - Epoch [51][500/1281] lr: 1.866e-02, eta: 14:51:25, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9012, top5_acc: 0.9981, loss_cls: 2.0903, loss: 2.0903 2023-12-23 13:49:33,355 - pyskl - INFO - Epoch [51][600/1281] lr: 1.864e-02, eta: 14:50:45, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 2.0913, loss: 2.0913 2023-12-23 13:50:17,977 - pyskl - INFO - Epoch [51][700/1281] lr: 1.863e-02, eta: 14:50:09, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8919, top5_acc: 0.9981, loss_cls: 2.1073, loss: 2.1073 2023-12-23 13:51:01,943 - pyskl - INFO - Epoch [51][800/1281] lr: 1.861e-02, eta: 14:49:31, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8894, top5_acc: 0.9975, loss_cls: 2.1101, loss: 2.1101 2023-12-23 13:51:44,655 - pyskl - INFO - Epoch [51][900/1281] lr: 1.859e-02, eta: 14:48:50, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8856, top5_acc: 0.9969, loss_cls: 2.1194, loss: 2.1194 2023-12-23 13:52:28,007 - pyskl - INFO - Epoch [51][1000/1281] lr: 1.857e-02, eta: 14:48:11, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8919, top5_acc: 0.9975, loss_cls: 2.1109, loss: 2.1109 2023-12-23 13:53:12,701 - pyskl - INFO - Epoch [51][1100/1281] lr: 1.855e-02, eta: 14:47:35, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9000, top5_acc: 0.9962, loss_cls: 2.0831, loss: 2.0831 2023-12-23 13:53:56,363 - pyskl - INFO - Epoch [51][1200/1281] lr: 1.854e-02, eta: 14:46:56, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8775, top5_acc: 0.9962, loss_cls: 2.1529, loss: 2.1529 2023-12-23 13:54:18,648 - pyskl - INFO - Saving checkpoint at 51 epochs 2023-12-23 13:55:25,003 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 13:55:25,064 - pyskl - INFO - top1_acc 0.8443 top5_acc 0.9878 2023-12-23 13:55:25,065 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 13:55:25,074 - pyskl - INFO - mean_acc 0.8028 2023-12-23 13:55:25,076 - pyskl - INFO - Epoch(val) [51][533] top1_acc: 0.8443, top5_acc: 0.9878, mean_class_accuracy: 0.8028 2023-12-23 13:56:29,082 - pyskl - INFO - Epoch [52][100/1281] lr: 1.850e-02, eta: 14:45:17, time: 0.640, data_time: 0.217, memory: 4130, top1_acc: 0.9056, top5_acc: 0.9969, loss_cls: 2.0684, loss: 2.0684 2023-12-23 13:57:12,361 - pyskl - INFO - Epoch [52][200/1281] lr: 1.849e-02, eta: 14:44:38, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9988, loss_cls: 2.0724, loss: 2.0724 2023-12-23 13:57:54,977 - pyskl - INFO - Epoch [52][300/1281] lr: 1.847e-02, eta: 14:43:57, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 2.0482, loss: 2.0482 2023-12-23 13:58:39,574 - pyskl - INFO - Epoch [52][400/1281] lr: 1.845e-02, eta: 14:43:20, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 2.1059, loss: 2.1059 2023-12-23 13:59:23,738 - pyskl - INFO - Epoch [52][500/1281] lr: 1.843e-02, eta: 14:42:43, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8769, top5_acc: 0.9956, loss_cls: 2.1536, loss: 2.1536 2023-12-23 14:00:07,360 - pyskl - INFO - Epoch [52][600/1281] lr: 1.841e-02, eta: 14:42:04, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9962, loss_cls: 2.0729, loss: 2.0729 2023-12-23 14:00:51,867 - pyskl - INFO - Epoch [52][700/1281] lr: 1.840e-02, eta: 14:41:27, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8912, top5_acc: 0.9950, loss_cls: 2.0978, loss: 2.0978 2023-12-23 14:01:36,381 - pyskl - INFO - Epoch [52][800/1281] lr: 1.838e-02, eta: 14:40:50, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9981, loss_cls: 2.0985, loss: 2.0985 2023-12-23 14:02:21,171 - pyskl - INFO - Epoch [52][900/1281] lr: 1.836e-02, eta: 14:40:14, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.8775, top5_acc: 0.9975, loss_cls: 2.1333, loss: 2.1333 2023-12-23 14:03:05,645 - pyskl - INFO - Epoch [52][1000/1281] lr: 1.834e-02, eta: 14:39:36, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8944, top5_acc: 0.9938, loss_cls: 2.1191, loss: 2.1191 2023-12-23 14:03:49,140 - pyskl - INFO - Epoch [52][1100/1281] lr: 1.832e-02, eta: 14:38:57, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8981, top5_acc: 0.9962, loss_cls: 2.1153, loss: 2.1153 2023-12-23 14:04:33,539 - pyskl - INFO - Epoch [52][1200/1281] lr: 1.831e-02, eta: 14:38:20, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8931, top5_acc: 0.9975, loss_cls: 2.1247, loss: 2.1247 2023-12-23 14:04:58,265 - pyskl - INFO - Saving checkpoint at 52 epochs 2023-12-23 14:06:06,930 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:06:06,993 - pyskl - INFO - top1_acc 0.8229 top5_acc 0.9891 2023-12-23 14:06:06,993 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:06:07,003 - pyskl - INFO - mean_acc 0.7636 2023-12-23 14:06:07,006 - pyskl - INFO - Epoch(val) [52][533] top1_acc: 0.8229, top5_acc: 0.9891, mean_class_accuracy: 0.7636 2023-12-23 14:07:14,397 - pyskl - INFO - Epoch [53][100/1281] lr: 1.827e-02, eta: 14:36:48, time: 0.674, data_time: 0.230, memory: 4130, top1_acc: 0.8925, top5_acc: 0.9981, loss_cls: 2.1037, loss: 2.1037 2023-12-23 14:07:58,038 - pyskl - INFO - Epoch [53][200/1281] lr: 1.826e-02, eta: 14:36:09, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 2.0665, loss: 2.0665 2023-12-23 14:08:41,340 - pyskl - INFO - Epoch [53][300/1281] lr: 1.824e-02, eta: 14:35:30, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9944, loss_cls: 2.0858, loss: 2.0858 2023-12-23 14:09:24,010 - pyskl - INFO - Epoch [53][400/1281] lr: 1.822e-02, eta: 14:34:49, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8819, top5_acc: 0.9944, loss_cls: 2.1501, loss: 2.1501 2023-12-23 14:10:06,567 - pyskl - INFO - Epoch [53][500/1281] lr: 1.820e-02, eta: 14:34:08, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8906, top5_acc: 0.9988, loss_cls: 2.0875, loss: 2.0875 2023-12-23 14:10:49,920 - pyskl - INFO - Epoch [53][600/1281] lr: 1.818e-02, eta: 14:33:29, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8969, top5_acc: 0.9981, loss_cls: 2.0930, loss: 2.0930 2023-12-23 14:11:33,383 - pyskl - INFO - Epoch [53][700/1281] lr: 1.816e-02, eta: 14:32:50, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8919, top5_acc: 0.9938, loss_cls: 2.0946, loss: 2.0946 2023-12-23 14:12:17,920 - pyskl - INFO - Epoch [53][800/1281] lr: 1.815e-02, eta: 14:32:13, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9975, loss_cls: 2.1437, loss: 2.1437 2023-12-23 14:13:02,694 - pyskl - INFO - Epoch [53][900/1281] lr: 1.813e-02, eta: 14:31:36, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.8969, top5_acc: 0.9962, loss_cls: 2.1247, loss: 2.1247 2023-12-23 14:13:45,707 - pyskl - INFO - Epoch [53][1000/1281] lr: 1.811e-02, eta: 14:30:56, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8925, top5_acc: 0.9944, loss_cls: 2.1098, loss: 2.1098 2023-12-23 14:14:29,015 - pyskl - INFO - Epoch [53][1100/1281] lr: 1.809e-02, eta: 14:30:17, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8912, top5_acc: 0.9925, loss_cls: 2.1224, loss: 2.1224 2023-12-23 14:15:12,717 - pyskl - INFO - Epoch [53][1200/1281] lr: 1.807e-02, eta: 14:29:38, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.9038, top5_acc: 0.9962, loss_cls: 2.0882, loss: 2.0882 2023-12-23 14:15:38,798 - pyskl - INFO - Saving checkpoint at 53 epochs 2023-12-23 14:16:47,605 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:16:47,669 - pyskl - INFO - top1_acc 0.8154 top5_acc 0.9890 2023-12-23 14:16:47,670 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:16:47,679 - pyskl - INFO - mean_acc 0.7746 2023-12-23 14:16:47,682 - pyskl - INFO - Epoch(val) [53][533] top1_acc: 0.8154, top5_acc: 0.9890, mean_class_accuracy: 0.7746 2023-12-23 14:17:53,339 - pyskl - INFO - Epoch [54][100/1281] lr: 1.804e-02, eta: 14:28:03, time: 0.657, data_time: 0.230, memory: 4130, top1_acc: 0.9000, top5_acc: 0.9988, loss_cls: 2.0844, loss: 2.0844 2023-12-23 14:18:35,739 - pyskl - INFO - Epoch [54][200/1281] lr: 1.802e-02, eta: 14:27:22, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9975, loss_cls: 2.0810, loss: 2.0810 2023-12-23 14:19:18,169 - pyskl - INFO - Epoch [54][300/1281] lr: 1.800e-02, eta: 14:26:41, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 2.0402, loss: 2.0402 2023-12-23 14:20:00,577 - pyskl - INFO - Epoch [54][400/1281] lr: 1.798e-02, eta: 14:26:00, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9125, top5_acc: 0.9969, loss_cls: 2.0432, loss: 2.0432 2023-12-23 14:20:44,465 - pyskl - INFO - Epoch [54][500/1281] lr: 1.797e-02, eta: 14:25:21, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8912, top5_acc: 0.9975, loss_cls: 2.1229, loss: 2.1229 2023-12-23 14:21:29,058 - pyskl - INFO - Epoch [54][600/1281] lr: 1.795e-02, eta: 14:24:44, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9119, top5_acc: 0.9994, loss_cls: 2.0675, loss: 2.0675 2023-12-23 14:22:13,588 - pyskl - INFO - Epoch [54][700/1281] lr: 1.793e-02, eta: 14:24:07, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9962, loss_cls: 2.1406, loss: 2.1406 2023-12-23 14:22:57,755 - pyskl - INFO - Epoch [54][800/1281] lr: 1.791e-02, eta: 14:23:29, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9962, loss_cls: 2.0642, loss: 2.0642 2023-12-23 14:23:40,146 - pyskl - INFO - Epoch [54][900/1281] lr: 1.789e-02, eta: 14:22:47, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9144, top5_acc: 0.9975, loss_cls: 2.0377, loss: 2.0377 2023-12-23 14:24:22,579 - pyskl - INFO - Epoch [54][1000/1281] lr: 1.787e-02, eta: 14:22:06, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9012, top5_acc: 0.9981, loss_cls: 2.0765, loss: 2.0765 2023-12-23 14:25:05,542 - pyskl - INFO - Epoch [54][1100/1281] lr: 1.786e-02, eta: 14:21:26, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9931, loss_cls: 2.0874, loss: 2.0874 2023-12-23 14:25:49,216 - pyskl - INFO - Epoch [54][1200/1281] lr: 1.784e-02, eta: 14:20:47, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8906, top5_acc: 0.9956, loss_cls: 2.1059, loss: 2.1059 2023-12-23 14:26:14,513 - pyskl - INFO - Saving checkpoint at 54 epochs 2023-12-23 14:27:23,844 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:27:23,910 - pyskl - INFO - top1_acc 0.8508 top5_acc 0.9917 2023-12-23 14:27:23,910 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:27:23,929 - pyskl - INFO - mean_acc 0.8071 2023-12-23 14:27:23,933 - pyskl - INFO - Epoch(val) [54][533] top1_acc: 0.8508, top5_acc: 0.9917, mean_class_accuracy: 0.8071 2023-12-23 14:28:29,244 - pyskl - INFO - Epoch [55][100/1281] lr: 1.780e-02, eta: 14:19:12, time: 0.653, data_time: 0.232, memory: 4130, top1_acc: 0.9181, top5_acc: 0.9975, loss_cls: 2.0540, loss: 2.0540 2023-12-23 14:29:11,915 - pyskl - INFO - Epoch [55][200/1281] lr: 1.779e-02, eta: 14:18:32, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 2.0308, loss: 2.0308 2023-12-23 14:29:55,439 - pyskl - INFO - Epoch [55][300/1281] lr: 1.777e-02, eta: 14:17:52, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8906, top5_acc: 0.9988, loss_cls: 2.1043, loss: 2.1043 2023-12-23 14:30:39,652 - pyskl - INFO - Epoch [55][400/1281] lr: 1.775e-02, eta: 14:17:14, time: 0.442, data_time: 0.000, memory: 4130, top1_acc: 0.8988, top5_acc: 0.9956, loss_cls: 2.1124, loss: 2.1124 2023-12-23 14:31:22,598 - pyskl - INFO - Epoch [55][500/1281] lr: 1.773e-02, eta: 14:16:34, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.9144, top5_acc: 0.9981, loss_cls: 2.0578, loss: 2.0578 2023-12-23 14:32:05,093 - pyskl - INFO - Epoch [55][600/1281] lr: 1.771e-02, eta: 14:15:53, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9000, top5_acc: 0.9981, loss_cls: 2.0907, loss: 2.0907 2023-12-23 14:32:47,507 - pyskl - INFO - Epoch [55][700/1281] lr: 1.769e-02, eta: 14:15:12, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8956, top5_acc: 0.9962, loss_cls: 2.1002, loss: 2.1002 2023-12-23 14:33:30,188 - pyskl - INFO - Epoch [55][800/1281] lr: 1.767e-02, eta: 14:14:31, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8838, top5_acc: 0.9950, loss_cls: 2.1177, loss: 2.1177 2023-12-23 14:34:14,088 - pyskl - INFO - Epoch [55][900/1281] lr: 1.766e-02, eta: 14:13:53, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.9000, top5_acc: 0.9956, loss_cls: 2.0999, loss: 2.0999 2023-12-23 14:34:58,645 - pyskl - INFO - Epoch [55][1000/1281] lr: 1.764e-02, eta: 14:13:15, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8906, top5_acc: 0.9962, loss_cls: 2.1217, loss: 2.1217 2023-12-23 14:35:41,300 - pyskl - INFO - Epoch [55][1100/1281] lr: 1.762e-02, eta: 14:12:34, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.9012, top5_acc: 0.9975, loss_cls: 2.0995, loss: 2.0995 2023-12-23 14:36:23,541 - pyskl - INFO - Epoch [55][1200/1281] lr: 1.760e-02, eta: 14:11:53, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8856, top5_acc: 0.9956, loss_cls: 2.1408, loss: 2.1408 2023-12-23 14:36:48,912 - pyskl - INFO - Saving checkpoint at 55 epochs 2023-12-23 14:37:57,326 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:37:57,400 - pyskl - INFO - top1_acc 0.8312 top5_acc 0.9863 2023-12-23 14:37:57,401 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:37:57,419 - pyskl - INFO - mean_acc 0.7787 2023-12-23 14:37:57,427 - pyskl - INFO - Epoch(val) [55][533] top1_acc: 0.8312, top5_acc: 0.9863, mean_class_accuracy: 0.7787 2023-12-23 14:39:04,627 - pyskl - INFO - Epoch [56][100/1281] lr: 1.757e-02, eta: 14:10:22, time: 0.672, data_time: 0.236, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9962, loss_cls: 2.0723, loss: 2.0723 2023-12-23 14:39:48,449 - pyskl - INFO - Epoch [56][200/1281] lr: 1.755e-02, eta: 14:09:43, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 2.0263, loss: 2.0263 2023-12-23 14:40:32,624 - pyskl - INFO - Epoch [56][300/1281] lr: 1.753e-02, eta: 14:09:05, time: 0.442, data_time: 0.000, memory: 4130, top1_acc: 0.9225, top5_acc: 0.9981, loss_cls: 2.0260, loss: 2.0260 2023-12-23 14:41:15,682 - pyskl - INFO - Epoch [56][400/1281] lr: 1.751e-02, eta: 14:08:25, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9969, loss_cls: 2.0895, loss: 2.0895 2023-12-23 14:41:58,609 - pyskl - INFO - Epoch [56][500/1281] lr: 1.749e-02, eta: 14:07:44, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.9125, top5_acc: 0.9950, loss_cls: 2.0669, loss: 2.0669 2023-12-23 14:42:41,930 - pyskl - INFO - Epoch [56][600/1281] lr: 1.747e-02, eta: 14:07:05, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9131, top5_acc: 0.9938, loss_cls: 2.0556, loss: 2.0556 2023-12-23 14:43:26,678 - pyskl - INFO - Epoch [56][700/1281] lr: 1.745e-02, eta: 14:06:28, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9944, loss_cls: 2.0929, loss: 2.0929 2023-12-23 14:44:11,529 - pyskl - INFO - Epoch [56][800/1281] lr: 1.743e-02, eta: 14:05:50, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.8888, top5_acc: 0.9969, loss_cls: 2.1240, loss: 2.1240 2023-12-23 14:44:54,353 - pyskl - INFO - Epoch [56][900/1281] lr: 1.742e-02, eta: 14:05:10, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.8869, top5_acc: 0.9956, loss_cls: 2.1159, loss: 2.1159 2023-12-23 14:45:36,900 - pyskl - INFO - Epoch [56][1000/1281] lr: 1.740e-02, eta: 14:04:29, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9100, top5_acc: 0.9988, loss_cls: 2.0685, loss: 2.0685 2023-12-23 14:46:20,827 - pyskl - INFO - Epoch [56][1100/1281] lr: 1.738e-02, eta: 14:03:50, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9975, loss_cls: 2.0839, loss: 2.0839 2023-12-23 14:47:04,346 - pyskl - INFO - Epoch [56][1200/1281] lr: 1.736e-02, eta: 14:03:11, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9069, top5_acc: 0.9962, loss_cls: 2.0799, loss: 2.0799 2023-12-23 14:47:29,632 - pyskl - INFO - Saving checkpoint at 56 epochs 2023-12-23 14:48:38,097 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:48:38,161 - pyskl - INFO - top1_acc 0.8683 top5_acc 0.9901 2023-12-23 14:48:38,161 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:48:38,174 - pyskl - INFO - mean_acc 0.8291 2023-12-23 14:48:38,179 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_46.pth was removed 2023-12-23 14:48:38,438 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. 2023-12-23 14:48:38,438 - pyskl - INFO - Best top1_acc is 0.8683 at 56 epoch. 2023-12-23 14:48:38,442 - pyskl - INFO - Epoch(val) [56][533] top1_acc: 0.8683, top5_acc: 0.9901, mean_class_accuracy: 0.8291 2023-12-23 14:49:44,843 - pyskl - INFO - Epoch [57][100/1281] lr: 1.733e-02, eta: 14:01:39, time: 0.664, data_time: 0.219, memory: 4130, top1_acc: 0.9150, top5_acc: 0.9988, loss_cls: 2.0413, loss: 2.0413 2023-12-23 14:50:29,604 - pyskl - INFO - Epoch [57][200/1281] lr: 1.731e-02, eta: 14:01:01, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.9094, top5_acc: 0.9988, loss_cls: 2.0413, loss: 2.0413 2023-12-23 14:51:14,238 - pyskl - INFO - Epoch [57][300/1281] lr: 1.729e-02, eta: 14:00:24, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 2.0807, loss: 2.0807 2023-12-23 14:51:58,690 - pyskl - INFO - Epoch [57][400/1281] lr: 1.727e-02, eta: 13:59:46, time: 0.445, data_time: 0.000, memory: 4130, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 2.0751, loss: 2.0751 2023-12-23 14:52:42,289 - pyskl - INFO - Epoch [57][500/1281] lr: 1.725e-02, eta: 13:59:07, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9100, top5_acc: 0.9975, loss_cls: 2.0632, loss: 2.0632 2023-12-23 14:53:26,746 - pyskl - INFO - Epoch [57][600/1281] lr: 1.723e-02, eta: 13:58:29, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9056, top5_acc: 0.9969, loss_cls: 2.0962, loss: 2.0962 2023-12-23 14:54:11,163 - pyskl - INFO - Epoch [57][700/1281] lr: 1.721e-02, eta: 13:57:51, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8800, top5_acc: 0.9950, loss_cls: 2.1452, loss: 2.1452 2023-12-23 14:54:55,814 - pyskl - INFO - Epoch [57][800/1281] lr: 1.719e-02, eta: 13:57:13, time: 0.446, data_time: 0.000, memory: 4130, top1_acc: 0.9006, top5_acc: 0.9969, loss_cls: 2.0789, loss: 2.0789 2023-12-23 14:55:40,409 - pyskl - INFO - Epoch [57][900/1281] lr: 1.717e-02, eta: 13:56:35, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9044, top5_acc: 0.9950, loss_cls: 2.0859, loss: 2.0859 2023-12-23 14:56:23,595 - pyskl - INFO - Epoch [57][1000/1281] lr: 1.716e-02, eta: 13:55:55, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9975, loss_cls: 2.1135, loss: 2.1135 2023-12-23 14:57:06,239 - pyskl - INFO - Epoch [57][1100/1281] lr: 1.714e-02, eta: 13:55:14, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 2.0919, loss: 2.0919 2023-12-23 14:57:49,652 - pyskl - INFO - Epoch [57][1200/1281] lr: 1.712e-02, eta: 13:54:35, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.8888, top5_acc: 0.9938, loss_cls: 2.1224, loss: 2.1224 2023-12-23 14:58:14,092 - pyskl - INFO - Saving checkpoint at 57 epochs 2023-12-23 14:59:22,047 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 14:59:22,123 - pyskl - INFO - top1_acc 0.8410 top5_acc 0.9889 2023-12-23 14:59:22,124 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 14:59:22,134 - pyskl - INFO - mean_acc 0.8045 2023-12-23 14:59:22,137 - pyskl - INFO - Epoch(val) [57][533] top1_acc: 0.8410, top5_acc: 0.9889, mean_class_accuracy: 0.8045 2023-12-23 15:00:25,424 - pyskl - INFO - Epoch [58][100/1281] lr: 1.708e-02, eta: 13:52:58, time: 0.633, data_time: 0.206, memory: 4130, top1_acc: 0.9069, top5_acc: 0.9994, loss_cls: 2.0681, loss: 2.0681 2023-12-23 15:01:09,483 - pyskl - INFO - Epoch [58][200/1281] lr: 1.706e-02, eta: 13:52:19, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 2.0969, loss: 2.0969 2023-12-23 15:01:51,854 - pyskl - INFO - Epoch [58][300/1281] lr: 1.704e-02, eta: 13:51:38, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8775, top5_acc: 0.9956, loss_cls: 2.1417, loss: 2.1417 2023-12-23 15:02:34,323 - pyskl - INFO - Epoch [58][400/1281] lr: 1.703e-02, eta: 13:50:57, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 2.1038, loss: 2.1038 2023-12-23 15:03:16,963 - pyskl - INFO - Epoch [58][500/1281] lr: 1.701e-02, eta: 13:50:16, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9087, top5_acc: 0.9988, loss_cls: 2.0478, loss: 2.0478 2023-12-23 15:04:00,329 - pyskl - INFO - Epoch [58][600/1281] lr: 1.699e-02, eta: 13:49:36, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9975, loss_cls: 2.0907, loss: 2.0907 2023-12-23 15:04:43,891 - pyskl - INFO - Epoch [58][700/1281] lr: 1.697e-02, eta: 13:48:57, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9094, top5_acc: 0.9944, loss_cls: 2.0680, loss: 2.0680 2023-12-23 15:05:26,586 - pyskl - INFO - Epoch [58][800/1281] lr: 1.695e-02, eta: 13:48:16, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 2.0788, loss: 2.0788 2023-12-23 15:06:09,081 - pyskl - INFO - Epoch [58][900/1281] lr: 1.693e-02, eta: 13:47:34, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8975, top5_acc: 0.9950, loss_cls: 2.1077, loss: 2.1077 2023-12-23 15:06:51,520 - pyskl - INFO - Epoch [58][1000/1281] lr: 1.691e-02, eta: 13:46:53, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9094, top5_acc: 0.9969, loss_cls: 2.0801, loss: 2.0801 2023-12-23 15:07:33,752 - pyskl - INFO - Epoch [58][1100/1281] lr: 1.689e-02, eta: 13:46:12, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.9194, top5_acc: 1.0000, loss_cls: 2.0318, loss: 2.0318 2023-12-23 15:08:18,240 - pyskl - INFO - Epoch [58][1200/1281] lr: 1.687e-02, eta: 13:45:33, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9100, top5_acc: 0.9950, loss_cls: 2.0793, loss: 2.0793 2023-12-23 15:08:43,645 - pyskl - INFO - Saving checkpoint at 58 epochs 2023-12-23 15:09:52,199 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:09:52,268 - pyskl - INFO - top1_acc 0.8574 top5_acc 0.9916 2023-12-23 15:09:52,269 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 15:09:52,283 - pyskl - INFO - mean_acc 0.8068 2023-12-23 15:09:52,288 - pyskl - INFO - Epoch(val) [58][533] top1_acc: 0.8574, top5_acc: 0.9916, mean_class_accuracy: 0.8068 2023-12-23 15:10:58,324 - pyskl - INFO - Epoch [59][100/1281] lr: 1.684e-02, eta: 13:44:02, time: 0.660, data_time: 0.239, memory: 4130, top1_acc: 0.9294, top5_acc: 0.9975, loss_cls: 2.0092, loss: 2.0092 2023-12-23 15:11:40,874 - pyskl - INFO - Epoch [59][200/1281] lr: 1.682e-02, eta: 13:43:21, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9263, top5_acc: 0.9975, loss_cls: 2.0083, loss: 2.0083 2023-12-23 15:12:23,541 - pyskl - INFO - Epoch [59][300/1281] lr: 1.680e-02, eta: 13:42:40, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.9213, top5_acc: 0.9988, loss_cls: 2.0234, loss: 2.0234 2023-12-23 15:13:07,230 - pyskl - INFO - Epoch [59][400/1281] lr: 1.678e-02, eta: 13:42:00, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 2.0577, loss: 2.0577 2023-12-23 15:13:51,389 - pyskl - INFO - Epoch [59][500/1281] lr: 1.676e-02, eta: 13:41:22, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8962, top5_acc: 0.9938, loss_cls: 2.0964, loss: 2.0964 2023-12-23 15:14:35,476 - pyskl - INFO - Epoch [59][600/1281] lr: 1.674e-02, eta: 13:40:43, time: 0.441, data_time: 0.000, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 2.0619, loss: 2.0619 2023-12-23 15:15:19,690 - pyskl - INFO - Epoch [59][700/1281] lr: 1.672e-02, eta: 13:40:04, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8919, top5_acc: 0.9981, loss_cls: 2.1074, loss: 2.1074 2023-12-23 15:16:02,299 - pyskl - INFO - Epoch [59][800/1281] lr: 1.670e-02, eta: 13:39:23, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 2.0525, loss: 2.0525 2023-12-23 15:16:44,786 - pyskl - INFO - Epoch [59][900/1281] lr: 1.668e-02, eta: 13:38:42, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8962, top5_acc: 0.9962, loss_cls: 2.1203, loss: 2.1203 2023-12-23 15:17:27,238 - pyskl - INFO - Epoch [59][1000/1281] lr: 1.667e-02, eta: 13:38:01, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8956, top5_acc: 0.9950, loss_cls: 2.1295, loss: 2.1295 2023-12-23 15:18:10,821 - pyskl - INFO - Epoch [59][1100/1281] lr: 1.665e-02, eta: 13:37:21, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8938, top5_acc: 0.9975, loss_cls: 2.0848, loss: 2.0848 2023-12-23 15:18:52,894 - pyskl - INFO - Epoch [59][1200/1281] lr: 1.663e-02, eta: 13:36:39, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 2.0599, loss: 2.0599 2023-12-23 15:19:18,567 - pyskl - INFO - Saving checkpoint at 59 epochs 2023-12-23 15:20:28,525 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:20:28,586 - pyskl - INFO - top1_acc 0.8580 top5_acc 0.9913 2023-12-23 15:20:28,586 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 15:20:28,602 - pyskl - INFO - mean_acc 0.8271 2023-12-23 15:20:28,610 - pyskl - INFO - Epoch(val) [59][533] top1_acc: 0.8580, top5_acc: 0.9913, mean_class_accuracy: 0.8271 2023-12-23 15:21:35,904 - pyskl - INFO - Epoch [60][100/1281] lr: 1.659e-02, eta: 13:35:10, time: 0.673, data_time: 0.234, memory: 4130, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 2.0687, loss: 2.0687 2023-12-23 15:22:18,493 - pyskl - INFO - Epoch [60][200/1281] lr: 1.657e-02, eta: 13:34:29, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9969, loss_cls: 2.0830, loss: 2.0830 2023-12-23 15:23:02,731 - pyskl - INFO - Epoch [60][300/1281] lr: 1.655e-02, eta: 13:33:50, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9219, top5_acc: 0.9962, loss_cls: 2.0374, loss: 2.0374 2023-12-23 15:23:47,229 - pyskl - INFO - Epoch [60][400/1281] lr: 1.653e-02, eta: 13:33:12, time: 0.445, data_time: 0.000, memory: 4130, top1_acc: 0.9094, top5_acc: 0.9988, loss_cls: 2.0640, loss: 2.0640 2023-12-23 15:24:31,577 - pyskl - INFO - Epoch [60][500/1281] lr: 1.651e-02, eta: 13:32:34, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 0.9081, top5_acc: 0.9938, loss_cls: 2.0872, loss: 2.0872 2023-12-23 15:25:14,527 - pyskl - INFO - Epoch [60][600/1281] lr: 1.650e-02, eta: 13:31:53, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.9075, top5_acc: 0.9988, loss_cls: 2.0701, loss: 2.0701 2023-12-23 15:25:56,629 - pyskl - INFO - Epoch [60][700/1281] lr: 1.648e-02, eta: 13:31:11, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.9012, top5_acc: 0.9981, loss_cls: 2.0876, loss: 2.0876 2023-12-23 15:26:38,912 - pyskl - INFO - Epoch [60][800/1281] lr: 1.646e-02, eta: 13:30:30, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8956, top5_acc: 0.9950, loss_cls: 2.0967, loss: 2.0967 2023-12-23 15:27:21,377 - pyskl - INFO - Epoch [60][900/1281] lr: 1.644e-02, eta: 13:29:48, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9044, top5_acc: 0.9981, loss_cls: 2.0675, loss: 2.0675 2023-12-23 15:28:03,752 - pyskl - INFO - Epoch [60][1000/1281] lr: 1.642e-02, eta: 13:29:07, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9969, loss_cls: 2.0884, loss: 2.0884 2023-12-23 15:28:46,175 - pyskl - INFO - Epoch [60][1100/1281] lr: 1.640e-02, eta: 13:28:25, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8956, top5_acc: 0.9988, loss_cls: 2.0964, loss: 2.0964 2023-12-23 15:29:30,125 - pyskl - INFO - Epoch [60][1200/1281] lr: 1.638e-02, eta: 13:27:46, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8969, top5_acc: 0.9950, loss_cls: 2.0924, loss: 2.0924 2023-12-23 15:29:54,838 - pyskl - INFO - Saving checkpoint at 60 epochs 2023-12-23 15:31:01,999 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:31:02,065 - pyskl - INFO - top1_acc 0.8452 top5_acc 0.9897 2023-12-23 15:31:02,065 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 15:31:02,075 - pyskl - INFO - mean_acc 0.7917 2023-12-23 15:31:02,079 - pyskl - INFO - Epoch(val) [60][533] top1_acc: 0.8452, top5_acc: 0.9897, mean_class_accuracy: 0.7917 2023-12-23 15:32:08,875 - pyskl - INFO - Epoch [61][100/1281] lr: 1.634e-02, eta: 13:26:16, time: 0.668, data_time: 0.230, memory: 4130, top1_acc: 0.9194, top5_acc: 0.9969, loss_cls: 2.0260, loss: 2.0260 2023-12-23 15:32:53,347 - pyskl - INFO - Epoch [61][200/1281] lr: 1.632e-02, eta: 13:25:38, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9106, top5_acc: 0.9988, loss_cls: 2.0542, loss: 2.0542 2023-12-23 15:33:35,454 - pyskl - INFO - Epoch [61][300/1281] lr: 1.630e-02, eta: 13:24:56, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 2.0499, loss: 2.0499 2023-12-23 15:34:17,818 - pyskl - INFO - Epoch [61][400/1281] lr: 1.629e-02, eta: 13:24:15, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9263, top5_acc: 0.9969, loss_cls: 2.0159, loss: 2.0159 2023-12-23 15:35:00,283 - pyskl - INFO - Epoch [61][500/1281] lr: 1.627e-02, eta: 13:23:34, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 2.0255, loss: 2.0255 2023-12-23 15:35:43,514 - pyskl - INFO - Epoch [61][600/1281] lr: 1.625e-02, eta: 13:22:53, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.9025, top5_acc: 0.9975, loss_cls: 2.0785, loss: 2.0785 2023-12-23 15:36:27,807 - pyskl - INFO - Epoch [61][700/1281] lr: 1.623e-02, eta: 13:22:15, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9163, top5_acc: 0.9956, loss_cls: 2.0596, loss: 2.0596 2023-12-23 15:37:11,415 - pyskl - INFO - Epoch [61][800/1281] lr: 1.621e-02, eta: 13:21:35, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9000, top5_acc: 0.9988, loss_cls: 2.0876, loss: 2.0876 2023-12-23 15:37:55,358 - pyskl - INFO - Epoch [61][900/1281] lr: 1.619e-02, eta: 13:20:56, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.9194, top5_acc: 0.9969, loss_cls: 2.0502, loss: 2.0502 2023-12-23 15:38:39,587 - pyskl - INFO - Epoch [61][1000/1281] lr: 1.617e-02, eta: 13:20:17, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 2.0647, loss: 2.0647 2023-12-23 15:39:24,019 - pyskl - INFO - Epoch [61][1100/1281] lr: 1.615e-02, eta: 13:19:39, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8981, top5_acc: 0.9962, loss_cls: 2.1037, loss: 2.1037 2023-12-23 15:40:08,530 - pyskl - INFO - Epoch [61][1200/1281] lr: 1.613e-02, eta: 13:19:00, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8912, top5_acc: 0.9981, loss_cls: 2.1017, loss: 2.1017 2023-12-23 15:40:34,364 - pyskl - INFO - Saving checkpoint at 61 epochs 2023-12-23 15:41:41,230 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:41:41,303 - pyskl - INFO - top1_acc 0.8504 top5_acc 0.9903 2023-12-23 15:41:41,303 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 15:41:41,317 - pyskl - INFO - mean_acc 0.8065 2023-12-23 15:41:41,324 - pyskl - INFO - Epoch(val) [61][533] top1_acc: 0.8504, top5_acc: 0.9903, mean_class_accuracy: 0.8065 2023-12-23 15:42:47,181 - pyskl - INFO - Epoch [62][100/1281] lr: 1.609e-02, eta: 13:17:29, time: 0.658, data_time: 0.217, memory: 4130, top1_acc: 0.9087, top5_acc: 0.9994, loss_cls: 2.0611, loss: 2.0611 2023-12-23 15:43:31,046 - pyskl - INFO - Epoch [62][200/1281] lr: 1.607e-02, eta: 13:16:50, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.9169, top5_acc: 0.9969, loss_cls: 2.0488, loss: 2.0488 2023-12-23 15:44:13,496 - pyskl - INFO - Epoch [62][300/1281] lr: 1.605e-02, eta: 13:16:09, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9056, top5_acc: 0.9988, loss_cls: 2.0342, loss: 2.0342 2023-12-23 15:44:55,526 - pyskl - INFO - Epoch [62][400/1281] lr: 1.603e-02, eta: 13:15:27, time: 0.420, data_time: 0.001, memory: 4130, top1_acc: 0.9006, top5_acc: 0.9988, loss_cls: 2.0730, loss: 2.0730 2023-12-23 15:45:37,923 - pyskl - INFO - Epoch [62][500/1281] lr: 1.602e-02, eta: 13:14:45, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9131, top5_acc: 0.9962, loss_cls: 2.0653, loss: 2.0653 2023-12-23 15:46:21,649 - pyskl - INFO - Epoch [62][600/1281] lr: 1.600e-02, eta: 13:14:06, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 2.0530, loss: 2.0530 2023-12-23 15:47:06,102 - pyskl - INFO - Epoch [62][700/1281] lr: 1.598e-02, eta: 13:13:27, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9256, top5_acc: 1.0000, loss_cls: 2.0144, loss: 2.0144 2023-12-23 15:47:50,674 - pyskl - INFO - Epoch [62][800/1281] lr: 1.596e-02, eta: 13:12:49, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9944, loss_cls: 2.1384, loss: 2.1384 2023-12-23 15:48:34,216 - pyskl - INFO - Epoch [62][900/1281] lr: 1.594e-02, eta: 13:12:09, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9056, top5_acc: 0.9988, loss_cls: 2.0552, loss: 2.0552 2023-12-23 15:49:17,488 - pyskl - INFO - Epoch [62][1000/1281] lr: 1.592e-02, eta: 13:11:29, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8956, top5_acc: 0.9981, loss_cls: 2.1145, loss: 2.1145 2023-12-23 15:50:01,191 - pyskl - INFO - Epoch [62][1100/1281] lr: 1.590e-02, eta: 13:10:49, time: 0.437, data_time: 0.002, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 2.0494, loss: 2.0494 2023-12-23 15:50:43,559 - pyskl - INFO - Epoch [62][1200/1281] lr: 1.588e-02, eta: 13:10:08, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 2.0558, loss: 2.0558 2023-12-23 15:51:09,397 - pyskl - INFO - Saving checkpoint at 62 epochs 2023-12-23 15:52:19,558 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 15:52:19,618 - pyskl - INFO - top1_acc 0.8524 top5_acc 0.9872 2023-12-23 15:52:19,618 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 15:52:19,626 - pyskl - INFO - mean_acc 0.7967 2023-12-23 15:52:19,628 - pyskl - INFO - Epoch(val) [62][533] top1_acc: 0.8524, top5_acc: 0.9872, mean_class_accuracy: 0.7967 2023-12-23 15:53:27,248 - pyskl - INFO - Epoch [63][100/1281] lr: 1.584e-02, eta: 13:08:40, time: 0.676, data_time: 0.234, memory: 4130, top1_acc: 0.9156, top5_acc: 1.0000, loss_cls: 2.0504, loss: 2.0504 2023-12-23 15:54:11,052 - pyskl - INFO - Epoch [63][200/1281] lr: 1.582e-02, eta: 13:08:00, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.9125, top5_acc: 0.9969, loss_cls: 2.0589, loss: 2.0589 2023-12-23 15:54:55,259 - pyskl - INFO - Epoch [63][300/1281] lr: 1.580e-02, eta: 13:07:21, time: 0.442, data_time: 0.000, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 2.0600, loss: 2.0600 2023-12-23 15:55:37,697 - pyskl - INFO - Epoch [63][400/1281] lr: 1.578e-02, eta: 13:06:40, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9075, top5_acc: 0.9969, loss_cls: 2.0721, loss: 2.0721 2023-12-23 15:56:21,342 - pyskl - INFO - Epoch [63][500/1281] lr: 1.576e-02, eta: 13:06:00, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 2.0521, loss: 2.0521 2023-12-23 15:57:05,707 - pyskl - INFO - Epoch [63][600/1281] lr: 1.574e-02, eta: 13:05:21, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 2.0293, loss: 2.0293 2023-12-23 15:57:49,882 - pyskl - INFO - Epoch [63][700/1281] lr: 1.572e-02, eta: 13:04:42, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9206, top5_acc: 0.9988, loss_cls: 2.0382, loss: 2.0382 2023-12-23 15:58:34,164 - pyskl - INFO - Epoch [63][800/1281] lr: 1.570e-02, eta: 13:04:03, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8988, top5_acc: 0.9950, loss_cls: 2.0986, loss: 2.0986 2023-12-23 15:59:17,223 - pyskl - INFO - Epoch [63][900/1281] lr: 1.568e-02, eta: 13:03:23, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9131, top5_acc: 0.9969, loss_cls: 2.0465, loss: 2.0465 2023-12-23 15:59:59,447 - pyskl - INFO - Epoch [63][1000/1281] lr: 1.566e-02, eta: 13:02:41, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9994, loss_cls: 2.0610, loss: 2.0610 2023-12-23 16:00:41,950 - pyskl - INFO - Epoch [63][1100/1281] lr: 1.564e-02, eta: 13:02:00, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9169, top5_acc: 0.9975, loss_cls: 2.0726, loss: 2.0726 2023-12-23 16:01:24,441 - pyskl - INFO - Epoch [63][1200/1281] lr: 1.562e-02, eta: 13:01:18, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9012, top5_acc: 0.9950, loss_cls: 2.0806, loss: 2.0806 2023-12-23 16:01:50,062 - pyskl - INFO - Saving checkpoint at 63 epochs 2023-12-23 16:02:57,895 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:02:57,961 - pyskl - INFO - top1_acc 0.8507 top5_acc 0.9903 2023-12-23 16:02:57,962 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:02:57,972 - pyskl - INFO - mean_acc 0.7933 2023-12-23 16:02:57,976 - pyskl - INFO - Epoch(val) [63][533] top1_acc: 0.8507, top5_acc: 0.9903, mean_class_accuracy: 0.7933 2023-12-23 16:04:02,420 - pyskl - INFO - Epoch [64][100/1281] lr: 1.559e-02, eta: 12:59:46, time: 0.644, data_time: 0.210, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 2.0406, loss: 2.0406 2023-12-23 16:04:46,614 - pyskl - INFO - Epoch [64][200/1281] lr: 1.557e-02, eta: 12:59:07, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9181, top5_acc: 0.9994, loss_cls: 2.0397, loss: 2.0397 2023-12-23 16:05:29,810 - pyskl - INFO - Epoch [64][300/1281] lr: 1.555e-02, eta: 12:58:27, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.9181, top5_acc: 0.9962, loss_cls: 2.0294, loss: 2.0294 2023-12-23 16:06:12,457 - pyskl - INFO - Epoch [64][400/1281] lr: 1.553e-02, eta: 12:57:45, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9269, top5_acc: 0.9969, loss_cls: 2.0209, loss: 2.0209 2023-12-23 16:06:54,588 - pyskl - INFO - Epoch [64][500/1281] lr: 1.551e-02, eta: 12:57:04, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.9200, top5_acc: 0.9981, loss_cls: 2.0434, loss: 2.0434 2023-12-23 16:07:36,808 - pyskl - INFO - Epoch [64][600/1281] lr: 1.549e-02, eta: 12:56:22, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9988, loss_cls: 2.0368, loss: 2.0368 2023-12-23 16:08:19,435 - pyskl - INFO - Epoch [64][700/1281] lr: 1.547e-02, eta: 12:55:41, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9125, top5_acc: 0.9950, loss_cls: 2.0752, loss: 2.0752 2023-12-23 16:09:02,759 - pyskl - INFO - Epoch [64][800/1281] lr: 1.545e-02, eta: 12:55:00, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9150, top5_acc: 1.0000, loss_cls: 2.0585, loss: 2.0585 2023-12-23 16:09:46,510 - pyskl - INFO - Epoch [64][900/1281] lr: 1.543e-02, eta: 12:54:21, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.9219, top5_acc: 0.9962, loss_cls: 2.0284, loss: 2.0284 2023-12-23 16:10:30,149 - pyskl - INFO - Epoch [64][1000/1281] lr: 1.541e-02, eta: 12:53:41, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9000, top5_acc: 0.9962, loss_cls: 2.0737, loss: 2.0737 2023-12-23 16:11:14,315 - pyskl - INFO - Epoch [64][1100/1281] lr: 1.539e-02, eta: 12:53:02, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9075, top5_acc: 0.9975, loss_cls: 2.0796, loss: 2.0796 2023-12-23 16:11:57,109 - pyskl - INFO - Epoch [64][1200/1281] lr: 1.537e-02, eta: 12:52:21, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9025, top5_acc: 0.9975, loss_cls: 2.0821, loss: 2.0821 2023-12-23 16:12:21,014 - pyskl - INFO - Saving checkpoint at 64 epochs 2023-12-23 16:13:29,499 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:13:29,573 - pyskl - INFO - top1_acc 0.8524 top5_acc 0.9906 2023-12-23 16:13:29,574 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:13:29,585 - pyskl - INFO - mean_acc 0.8014 2023-12-23 16:13:29,589 - pyskl - INFO - Epoch(val) [64][533] top1_acc: 0.8524, top5_acc: 0.9906, mean_class_accuracy: 0.8014 2023-12-23 16:14:34,734 - pyskl - INFO - Epoch [65][100/1281] lr: 1.533e-02, eta: 12:50:50, time: 0.651, data_time: 0.215, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 2.0108, loss: 2.0108 2023-12-23 16:15:18,053 - pyskl - INFO - Epoch [65][200/1281] lr: 1.531e-02, eta: 12:50:10, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 1.9848, loss: 1.9848 2023-12-23 16:16:02,516 - pyskl - INFO - Epoch [65][300/1281] lr: 1.529e-02, eta: 12:49:31, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9044, top5_acc: 0.9988, loss_cls: 2.0673, loss: 2.0673 2023-12-23 16:16:47,136 - pyskl - INFO - Epoch [65][400/1281] lr: 1.527e-02, eta: 12:48:52, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9988, loss_cls: 2.0758, loss: 2.0758 2023-12-23 16:17:31,573 - pyskl - INFO - Epoch [65][500/1281] lr: 1.526e-02, eta: 12:48:13, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 2.0684, loss: 2.0684 2023-12-23 16:18:13,942 - pyskl - INFO - Epoch [65][600/1281] lr: 1.524e-02, eta: 12:47:32, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 2.0443, loss: 2.0443 2023-12-23 16:18:56,255 - pyskl - INFO - Epoch [65][700/1281] lr: 1.522e-02, eta: 12:46:50, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.9144, top5_acc: 0.9969, loss_cls: 2.0618, loss: 2.0618 2023-12-23 16:19:39,689 - pyskl - INFO - Epoch [65][800/1281] lr: 1.520e-02, eta: 12:46:10, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.9219, top5_acc: 0.9988, loss_cls: 2.0249, loss: 2.0249 2023-12-23 16:20:23,813 - pyskl - INFO - Epoch [65][900/1281] lr: 1.518e-02, eta: 12:45:31, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.9075, top5_acc: 0.9981, loss_cls: 2.0626, loss: 2.0626 2023-12-23 16:21:06,399 - pyskl - INFO - Epoch [65][1000/1281] lr: 1.516e-02, eta: 12:44:49, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9094, top5_acc: 0.9962, loss_cls: 2.0696, loss: 2.0696 2023-12-23 16:21:48,424 - pyskl - INFO - Epoch [65][1100/1281] lr: 1.514e-02, eta: 12:44:07, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9981, loss_cls: 2.0640, loss: 2.0640 2023-12-23 16:22:30,836 - pyskl - INFO - Epoch [65][1200/1281] lr: 1.512e-02, eta: 12:43:26, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9031, top5_acc: 0.9981, loss_cls: 2.0945, loss: 2.0945 2023-12-23 16:22:54,901 - pyskl - INFO - Saving checkpoint at 65 epochs 2023-12-23 16:24:02,043 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:24:02,112 - pyskl - INFO - top1_acc 0.8453 top5_acc 0.9899 2023-12-23 16:24:02,113 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:24:02,123 - pyskl - INFO - mean_acc 0.8184 2023-12-23 16:24:02,127 - pyskl - INFO - Epoch(val) [65][533] top1_acc: 0.8453, top5_acc: 0.9899, mean_class_accuracy: 0.8184 2023-12-23 16:25:08,852 - pyskl - INFO - Epoch [66][100/1281] lr: 1.508e-02, eta: 12:41:58, time: 0.667, data_time: 0.232, memory: 4130, top1_acc: 0.9231, top5_acc: 0.9988, loss_cls: 2.0104, loss: 2.0104 2023-12-23 16:25:53,441 - pyskl - INFO - Epoch [66][200/1281] lr: 1.506e-02, eta: 12:41:19, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 2.0214, loss: 2.0214 2023-12-23 16:26:38,032 - pyskl - INFO - Epoch [66][300/1281] lr: 1.504e-02, eta: 12:40:40, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9225, top5_acc: 0.9981, loss_cls: 2.0284, loss: 2.0284 2023-12-23 16:27:21,629 - pyskl - INFO - Epoch [66][400/1281] lr: 1.502e-02, eta: 12:40:00, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9031, top5_acc: 0.9975, loss_cls: 2.0794, loss: 2.0794 2023-12-23 16:28:04,359 - pyskl - INFO - Epoch [66][500/1281] lr: 1.500e-02, eta: 12:39:19, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.9231, top5_acc: 1.0000, loss_cls: 2.0342, loss: 2.0342 2023-12-23 16:28:47,962 - pyskl - INFO - Epoch [66][600/1281] lr: 1.498e-02, eta: 12:38:39, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 2.0720, loss: 2.0720 2023-12-23 16:29:31,614 - pyskl - INFO - Epoch [66][700/1281] lr: 1.496e-02, eta: 12:37:59, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 2.0543, loss: 2.0543 2023-12-23 16:30:16,238 - pyskl - INFO - Epoch [66][800/1281] lr: 1.494e-02, eta: 12:37:20, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 2.0638, loss: 2.0638 2023-12-23 16:31:00,553 - pyskl - INFO - Epoch [66][900/1281] lr: 1.492e-02, eta: 12:36:41, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 0.9000, top5_acc: 0.9962, loss_cls: 2.0964, loss: 2.0964 2023-12-23 16:31:45,027 - pyskl - INFO - Epoch [66][1000/1281] lr: 1.490e-02, eta: 12:36:02, time: 0.445, data_time: 0.000, memory: 4130, top1_acc: 0.9144, top5_acc: 0.9962, loss_cls: 2.0407, loss: 2.0407 2023-12-23 16:32:28,697 - pyskl - INFO - Epoch [66][1100/1281] lr: 1.488e-02, eta: 12:35:22, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.9119, top5_acc: 0.9975, loss_cls: 2.0421, loss: 2.0421 2023-12-23 16:33:13,601 - pyskl - INFO - Epoch [66][1200/1281] lr: 1.486e-02, eta: 12:34:44, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.9331, top5_acc: 0.9994, loss_cls: 2.0161, loss: 2.0161 2023-12-23 16:33:38,899 - pyskl - INFO - Saving checkpoint at 66 epochs 2023-12-23 16:34:47,562 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:34:47,651 - pyskl - INFO - top1_acc 0.8772 top5_acc 0.9914 2023-12-23 16:34:47,651 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:34:47,661 - pyskl - INFO - mean_acc 0.8294 2023-12-23 16:34:47,666 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_56.pth was removed 2023-12-23 16:34:47,924 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. 2023-12-23 16:34:47,924 - pyskl - INFO - Best top1_acc is 0.8772 at 66 epoch. 2023-12-23 16:34:47,927 - pyskl - INFO - Epoch(val) [66][533] top1_acc: 0.8772, top5_acc: 0.9914, mean_class_accuracy: 0.8294 2023-12-23 16:35:51,282 - pyskl - INFO - Epoch [67][100/1281] lr: 1.482e-02, eta: 12:33:12, time: 0.633, data_time: 0.211, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 1.9906, loss: 1.9906 2023-12-23 16:36:33,648 - pyskl - INFO - Epoch [67][200/1281] lr: 1.480e-02, eta: 12:32:30, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9100, top5_acc: 0.9962, loss_cls: 2.0628, loss: 2.0628 2023-12-23 16:37:16,866 - pyskl - INFO - Epoch [67][300/1281] lr: 1.478e-02, eta: 12:31:49, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.9256, top5_acc: 0.9994, loss_cls: 2.0264, loss: 2.0264 2023-12-23 16:37:59,636 - pyskl - INFO - Epoch [67][400/1281] lr: 1.476e-02, eta: 12:31:08, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9156, top5_acc: 0.9988, loss_cls: 2.0497, loss: 2.0497 2023-12-23 16:38:43,108 - pyskl - INFO - Epoch [67][500/1281] lr: 1.474e-02, eta: 12:30:28, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9081, top5_acc: 0.9975, loss_cls: 2.0619, loss: 2.0619 2023-12-23 16:39:26,910 - pyskl - INFO - Epoch [67][600/1281] lr: 1.472e-02, eta: 12:29:48, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 2.0147, loss: 2.0147 2023-12-23 16:40:10,807 - pyskl - INFO - Epoch [67][700/1281] lr: 1.470e-02, eta: 12:29:08, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9962, loss_cls: 2.0835, loss: 2.0835 2023-12-23 16:40:55,487 - pyskl - INFO - Epoch [67][800/1281] lr: 1.468e-02, eta: 12:28:30, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9069, top5_acc: 0.9962, loss_cls: 2.0801, loss: 2.0801 2023-12-23 16:41:38,876 - pyskl - INFO - Epoch [67][900/1281] lr: 1.466e-02, eta: 12:27:49, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.9106, top5_acc: 0.9981, loss_cls: 2.0564, loss: 2.0564 2023-12-23 16:42:22,696 - pyskl - INFO - Epoch [67][1000/1281] lr: 1.464e-02, eta: 12:27:09, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 2.0461, loss: 2.0461 2023-12-23 16:43:06,782 - pyskl - INFO - Epoch [67][1100/1281] lr: 1.462e-02, eta: 12:26:30, time: 0.441, data_time: 0.000, memory: 4130, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 2.0189, loss: 2.0189 2023-12-23 16:43:50,773 - pyskl - INFO - Epoch [67][1200/1281] lr: 1.460e-02, eta: 12:25:50, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9994, loss_cls: 2.0418, loss: 2.0418 2023-12-23 16:44:16,374 - pyskl - INFO - Saving checkpoint at 67 epochs 2023-12-23 16:45:26,087 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:45:26,166 - pyskl - INFO - top1_acc 0.8728 top5_acc 0.9921 2023-12-23 16:45:26,166 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:45:26,182 - pyskl - INFO - mean_acc 0.8286 2023-12-23 16:45:26,188 - pyskl - INFO - Epoch(val) [67][533] top1_acc: 0.8728, top5_acc: 0.9921, mean_class_accuracy: 0.8286 2023-12-23 16:46:33,573 - pyskl - INFO - Epoch [68][100/1281] lr: 1.456e-02, eta: 12:24:23, time: 0.674, data_time: 0.235, memory: 4130, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 2.0025, loss: 2.0025 2023-12-23 16:47:15,909 - pyskl - INFO - Epoch [68][200/1281] lr: 1.454e-02, eta: 12:23:42, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.9319, top5_acc: 0.9988, loss_cls: 2.0140, loss: 2.0140 2023-12-23 16:47:58,201 - pyskl - INFO - Epoch [68][300/1281] lr: 1.452e-02, eta: 12:23:00, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 2.0061, loss: 2.0061 2023-12-23 16:48:41,761 - pyskl - INFO - Epoch [68][400/1281] lr: 1.450e-02, eta: 12:22:20, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9163, top5_acc: 0.9969, loss_cls: 2.0390, loss: 2.0390 2023-12-23 16:49:26,209 - pyskl - INFO - Epoch [68][500/1281] lr: 1.448e-02, eta: 12:21:41, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.9244, top5_acc: 0.9975, loss_cls: 2.0338, loss: 2.0338 2023-12-23 16:50:09,658 - pyskl - INFO - Epoch [68][600/1281] lr: 1.446e-02, eta: 12:21:00, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.9244, top5_acc: 0.9981, loss_cls: 2.0340, loss: 2.0340 2023-12-23 16:50:51,869 - pyskl - INFO - Epoch [68][700/1281] lr: 1.444e-02, eta: 12:20:18, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 2.0216, loss: 2.0216 2023-12-23 16:51:35,510 - pyskl - INFO - Epoch [68][800/1281] lr: 1.442e-02, eta: 12:19:38, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 2.0286, loss: 2.0286 2023-12-23 16:52:20,063 - pyskl - INFO - Epoch [68][900/1281] lr: 1.440e-02, eta: 12:18:59, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9200, top5_acc: 0.9988, loss_cls: 2.0448, loss: 2.0448 2023-12-23 16:53:03,855 - pyskl - INFO - Epoch [68][1000/1281] lr: 1.438e-02, eta: 12:18:19, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 0.9213, top5_acc: 0.9988, loss_cls: 2.0414, loss: 2.0414 2023-12-23 16:53:47,479 - pyskl - INFO - Epoch [68][1100/1281] lr: 1.436e-02, eta: 12:17:39, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9244, top5_acc: 0.9981, loss_cls: 2.0441, loss: 2.0441 2023-12-23 16:54:31,033 - pyskl - INFO - Epoch [68][1200/1281] lr: 1.434e-02, eta: 12:16:59, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8925, top5_acc: 0.9969, loss_cls: 2.1203, loss: 2.1203 2023-12-23 16:54:58,068 - pyskl - INFO - Saving checkpoint at 68 epochs 2023-12-23 16:56:08,116 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 16:56:08,175 - pyskl - INFO - top1_acc 0.8396 top5_acc 0.9900 2023-12-23 16:56:08,176 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 16:56:08,184 - pyskl - INFO - mean_acc 0.7967 2023-12-23 16:56:08,186 - pyskl - INFO - Epoch(val) [68][533] top1_acc: 0.8396, top5_acc: 0.9900, mean_class_accuracy: 0.7967 2023-12-23 16:57:13,969 - pyskl - INFO - Epoch [69][100/1281] lr: 1.431e-02, eta: 12:15:30, time: 0.658, data_time: 0.231, memory: 4130, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 2.0169, loss: 2.0169 2023-12-23 16:57:56,536 - pyskl - INFO - Epoch [69][200/1281] lr: 1.429e-02, eta: 12:14:49, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9313, top5_acc: 0.9981, loss_cls: 1.9997, loss: 1.9997 2023-12-23 16:58:40,856 - pyskl - INFO - Epoch [69][300/1281] lr: 1.427e-02, eta: 12:14:09, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 1.9718, loss: 1.9718 2023-12-23 16:59:25,345 - pyskl - INFO - Epoch [69][400/1281] lr: 1.425e-02, eta: 12:13:30, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9263, top5_acc: 0.9994, loss_cls: 2.0224, loss: 2.0224 2023-12-23 17:00:08,833 - pyskl - INFO - Epoch [69][500/1281] lr: 1.423e-02, eta: 12:12:50, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 2.0046, loss: 2.0046 2023-12-23 17:00:53,149 - pyskl - INFO - Epoch [69][600/1281] lr: 1.420e-02, eta: 12:12:11, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 0.9100, top5_acc: 0.9988, loss_cls: 2.0573, loss: 2.0573 2023-12-23 17:01:36,261 - pyskl - INFO - Epoch [69][700/1281] lr: 1.418e-02, eta: 12:11:30, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9225, top5_acc: 0.9981, loss_cls: 2.0363, loss: 2.0363 2023-12-23 17:02:18,681 - pyskl - INFO - Epoch [69][800/1281] lr: 1.416e-02, eta: 12:10:48, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 2.0160, loss: 2.0160 2023-12-23 17:03:01,186 - pyskl - INFO - Epoch [69][900/1281] lr: 1.414e-02, eta: 12:10:07, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 2.0541, loss: 2.0541 2023-12-23 17:03:43,682 - pyskl - INFO - Epoch [69][1000/1281] lr: 1.412e-02, eta: 12:09:25, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9988, loss_cls: 2.0445, loss: 2.0445 2023-12-23 17:04:27,160 - pyskl - INFO - Epoch [69][1100/1281] lr: 1.410e-02, eta: 12:08:45, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9100, top5_acc: 0.9981, loss_cls: 2.0351, loss: 2.0351 2023-12-23 17:05:10,787 - pyskl - INFO - Epoch [69][1200/1281] lr: 1.408e-02, eta: 12:08:04, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 2.0605, loss: 2.0605 2023-12-23 17:05:37,659 - pyskl - INFO - Saving checkpoint at 69 epochs 2023-12-23 17:06:49,429 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:06:49,527 - pyskl - INFO - top1_acc 0.8505 top5_acc 0.9912 2023-12-23 17:06:49,528 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 17:06:49,547 - pyskl - INFO - mean_acc 0.8067 2023-12-23 17:06:49,551 - pyskl - INFO - Epoch(val) [69][533] top1_acc: 0.8505, top5_acc: 0.9912, mean_class_accuracy: 0.8067 2023-12-23 17:07:57,716 - pyskl - INFO - Epoch [70][100/1281] lr: 1.405e-02, eta: 12:06:39, time: 0.682, data_time: 0.234, memory: 4130, top1_acc: 0.9163, top5_acc: 0.9969, loss_cls: 2.0632, loss: 2.0632 2023-12-23 17:08:40,000 - pyskl - INFO - Epoch [70][200/1281] lr: 1.403e-02, eta: 12:05:57, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 2.0001, loss: 2.0001 2023-12-23 17:09:22,359 - pyskl - INFO - Epoch [70][300/1281] lr: 1.401e-02, eta: 12:05:15, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 1.9918, loss: 1.9918 2023-12-23 17:10:06,105 - pyskl - INFO - Epoch [70][400/1281] lr: 1.399e-02, eta: 12:04:35, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 2.0001, loss: 2.0001 2023-12-23 17:10:50,460 - pyskl - INFO - Epoch [70][500/1281] lr: 1.397e-02, eta: 12:03:56, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 2.0231, loss: 2.0231 2023-12-23 17:11:34,930 - pyskl - INFO - Epoch [70][600/1281] lr: 1.395e-02, eta: 12:03:17, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9306, top5_acc: 0.9994, loss_cls: 2.0363, loss: 2.0363 2023-12-23 17:12:19,079 - pyskl - INFO - Epoch [70][700/1281] lr: 1.392e-02, eta: 12:02:37, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.9244, top5_acc: 0.9988, loss_cls: 2.0308, loss: 2.0308 2023-12-23 17:13:02,908 - pyskl - INFO - Epoch [70][800/1281] lr: 1.390e-02, eta: 12:01:57, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9956, loss_cls: 2.0749, loss: 2.0749 2023-12-23 17:13:47,505 - pyskl - INFO - Epoch [70][900/1281] lr: 1.388e-02, eta: 12:01:18, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9106, top5_acc: 0.9988, loss_cls: 2.0631, loss: 2.0631 2023-12-23 17:14:32,036 - pyskl - INFO - Epoch [70][1000/1281] lr: 1.386e-02, eta: 12:00:38, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9144, top5_acc: 0.9975, loss_cls: 2.0642, loss: 2.0642 2023-12-23 17:15:15,319 - pyskl - INFO - Epoch [70][1100/1281] lr: 1.384e-02, eta: 11:59:58, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9156, top5_acc: 0.9975, loss_cls: 2.0574, loss: 2.0574 2023-12-23 17:15:58,445 - pyskl - INFO - Epoch [70][1200/1281] lr: 1.382e-02, eta: 11:59:17, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9988, loss_cls: 2.0520, loss: 2.0520 2023-12-23 17:16:24,643 - pyskl - INFO - Saving checkpoint at 70 epochs 2023-12-23 17:17:35,607 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:17:35,668 - pyskl - INFO - top1_acc 0.8334 top5_acc 0.9877 2023-12-23 17:17:35,668 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 17:17:35,677 - pyskl - INFO - mean_acc 0.7793 2023-12-23 17:17:35,681 - pyskl - INFO - Epoch(val) [70][533] top1_acc: 0.8334, top5_acc: 0.9877, mean_class_accuracy: 0.7793 2023-12-23 17:18:43,774 - pyskl - INFO - Epoch [71][100/1281] lr: 1.379e-02, eta: 11:57:52, time: 0.681, data_time: 0.235, memory: 4130, top1_acc: 0.9275, top5_acc: 0.9988, loss_cls: 1.9970, loss: 1.9970 2023-12-23 17:19:28,252 - pyskl - INFO - Epoch [71][200/1281] lr: 1.377e-02, eta: 11:57:12, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9244, top5_acc: 0.9969, loss_cls: 1.9895, loss: 1.9895 2023-12-23 17:20:11,684 - pyskl - INFO - Epoch [71][300/1281] lr: 1.375e-02, eta: 11:56:32, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9337, top5_acc: 0.9988, loss_cls: 2.0223, loss: 2.0223 2023-12-23 17:20:56,169 - pyskl - INFO - Epoch [71][400/1281] lr: 1.373e-02, eta: 11:55:52, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9356, top5_acc: 1.0000, loss_cls: 1.9737, loss: 1.9737 2023-12-23 17:21:40,406 - pyskl - INFO - Epoch [71][500/1281] lr: 1.371e-02, eta: 11:55:13, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9144, top5_acc: 0.9981, loss_cls: 2.0380, loss: 2.0380 2023-12-23 17:22:24,536 - pyskl - INFO - Epoch [71][600/1281] lr: 1.368e-02, eta: 11:54:33, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.9263, top5_acc: 0.9975, loss_cls: 2.0194, loss: 2.0194 2023-12-23 17:23:08,652 - pyskl - INFO - Epoch [71][700/1281] lr: 1.366e-02, eta: 11:53:53, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 2.0062, loss: 2.0062 2023-12-23 17:23:52,048 - pyskl - INFO - Epoch [71][800/1281] lr: 1.364e-02, eta: 11:53:12, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9200, top5_acc: 0.9981, loss_cls: 2.0440, loss: 2.0440 2023-12-23 17:24:35,132 - pyskl - INFO - Epoch [71][900/1281] lr: 1.362e-02, eta: 11:52:32, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 2.0288, loss: 2.0288 2023-12-23 17:25:17,652 - pyskl - INFO - Epoch [71][1000/1281] lr: 1.360e-02, eta: 11:51:50, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 2.0766, loss: 2.0766 2023-12-23 17:26:00,038 - pyskl - INFO - Epoch [71][1100/1281] lr: 1.358e-02, eta: 11:51:08, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9194, top5_acc: 0.9962, loss_cls: 2.0291, loss: 2.0291 2023-12-23 17:26:44,516 - pyskl - INFO - Epoch [71][1200/1281] lr: 1.356e-02, eta: 11:50:29, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9969, loss_cls: 2.0282, loss: 2.0282 2023-12-23 17:27:10,593 - pyskl - INFO - Saving checkpoint at 71 epochs 2023-12-23 17:28:17,517 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:28:17,587 - pyskl - INFO - top1_acc 0.8044 top5_acc 0.9803 2023-12-23 17:28:17,588 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 17:28:17,602 - pyskl - INFO - mean_acc 0.7584 2023-12-23 17:28:17,608 - pyskl - INFO - Epoch(val) [71][533] top1_acc: 0.8044, top5_acc: 0.9803, mean_class_accuracy: 0.7584 2023-12-23 17:29:24,193 - pyskl - INFO - Epoch [72][100/1281] lr: 1.353e-02, eta: 11:49:02, time: 0.666, data_time: 0.240, memory: 4130, top1_acc: 0.9337, top5_acc: 0.9969, loss_cls: 2.0171, loss: 2.0171 2023-12-23 17:30:06,756 - pyskl - INFO - Epoch [72][200/1281] lr: 1.351e-02, eta: 11:48:20, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 2.0132, loss: 2.0132 2023-12-23 17:30:49,049 - pyskl - INFO - Epoch [72][300/1281] lr: 1.349e-02, eta: 11:47:38, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 2.0295, loss: 2.0295 2023-12-23 17:31:32,538 - pyskl - INFO - Epoch [72][400/1281] lr: 1.346e-02, eta: 11:46:58, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9244, top5_acc: 0.9981, loss_cls: 2.0434, loss: 2.0434 2023-12-23 17:32:16,840 - pyskl - INFO - Epoch [72][500/1281] lr: 1.344e-02, eta: 11:46:18, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 0.9363, top5_acc: 1.0000, loss_cls: 1.9894, loss: 1.9894 2023-12-23 17:33:01,571 - pyskl - INFO - Epoch [72][600/1281] lr: 1.342e-02, eta: 11:45:39, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 2.0153, loss: 2.0153 2023-12-23 17:33:44,851 - pyskl - INFO - Epoch [72][700/1281] lr: 1.340e-02, eta: 11:44:58, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9981, loss_cls: 2.0756, loss: 2.0756 2023-12-23 17:34:27,305 - pyskl - INFO - Epoch [72][800/1281] lr: 1.338e-02, eta: 11:44:17, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9213, top5_acc: 0.9994, loss_cls: 2.0287, loss: 2.0287 2023-12-23 17:35:10,145 - pyskl - INFO - Epoch [72][900/1281] lr: 1.336e-02, eta: 11:43:35, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9994, loss_cls: 2.0321, loss: 2.0321 2023-12-23 17:35:52,720 - pyskl - INFO - Epoch [72][1000/1281] lr: 1.334e-02, eta: 11:42:54, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9156, top5_acc: 0.9981, loss_cls: 2.0402, loss: 2.0402 2023-12-23 17:36:35,388 - pyskl - INFO - Epoch [72][1100/1281] lr: 1.332e-02, eta: 11:42:12, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 2.0015, loss: 2.0015 2023-12-23 17:37:21,587 - pyskl - INFO - Epoch [72][1200/1281] lr: 1.330e-02, eta: 11:41:35, time: 0.462, data_time: 0.001, memory: 4130, top1_acc: 0.9150, top5_acc: 0.9975, loss_cls: 2.0454, loss: 2.0454 2023-12-23 17:37:51,695 - pyskl - INFO - Saving checkpoint at 72 epochs 2023-12-23 17:39:08,583 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:39:08,657 - pyskl - INFO - top1_acc 0.8307 top5_acc 0.9884 2023-12-23 17:39:08,657 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 17:39:08,679 - pyskl - INFO - mean_acc 0.7992 2023-12-23 17:39:08,688 - pyskl - INFO - Epoch(val) [72][533] top1_acc: 0.8307, top5_acc: 0.9884, mean_class_accuracy: 0.7992 2023-12-23 17:40:21,335 - pyskl - INFO - Epoch [73][100/1281] lr: 1.326e-02, eta: 11:40:15, time: 0.726, data_time: 0.265, memory: 4130, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 1.9832, loss: 1.9832 2023-12-23 17:41:05,647 - pyskl - INFO - Epoch [73][200/1281] lr: 1.324e-02, eta: 11:39:35, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 1.9610, loss: 1.9610 2023-12-23 17:41:48,993 - pyskl - INFO - Epoch [73][300/1281] lr: 1.322e-02, eta: 11:38:54, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9994, loss_cls: 2.0226, loss: 2.0226 2023-12-23 17:42:33,550 - pyskl - INFO - Epoch [73][400/1281] lr: 1.320e-02, eta: 11:38:15, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9250, top5_acc: 0.9981, loss_cls: 2.0087, loss: 2.0087 2023-12-23 17:43:18,116 - pyskl - INFO - Epoch [73][500/1281] lr: 1.318e-02, eta: 11:37:35, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 2.0349, loss: 2.0349 2023-12-23 17:44:02,238 - pyskl - INFO - Epoch [73][600/1281] lr: 1.316e-02, eta: 11:36:55, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9975, loss_cls: 2.0551, loss: 2.0551 2023-12-23 17:44:47,629 - pyskl - INFO - Epoch [73][700/1281] lr: 1.314e-02, eta: 11:36:17, time: 0.454, data_time: 0.001, memory: 4130, top1_acc: 0.9194, top5_acc: 0.9975, loss_cls: 2.0393, loss: 2.0393 2023-12-23 17:45:32,876 - pyskl - INFO - Epoch [73][800/1281] lr: 1.312e-02, eta: 11:35:38, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 2.0011, loss: 2.0011 2023-12-23 17:46:17,571 - pyskl - INFO - Epoch [73][900/1281] lr: 1.310e-02, eta: 11:34:59, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 2.0430, loss: 2.0430 2023-12-23 17:47:02,407 - pyskl - INFO - Epoch [73][1000/1281] lr: 1.308e-02, eta: 11:34:19, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 2.0562, loss: 2.0562 2023-12-23 17:47:45,419 - pyskl - INFO - Epoch [73][1100/1281] lr: 1.306e-02, eta: 11:33:38, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 2.0744, loss: 2.0744 2023-12-23 17:48:30,666 - pyskl - INFO - Epoch [73][1200/1281] lr: 1.304e-02, eta: 11:32:59, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.9244, top5_acc: 0.9969, loss_cls: 2.0381, loss: 2.0381 2023-12-23 17:48:59,599 - pyskl - INFO - Saving checkpoint at 73 epochs 2023-12-23 17:50:15,550 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 17:50:15,624 - pyskl - INFO - top1_acc 0.8596 top5_acc 0.9921 2023-12-23 17:50:15,625 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 17:50:15,646 - pyskl - INFO - mean_acc 0.8162 2023-12-23 17:50:15,652 - pyskl - INFO - Epoch(val) [73][533] top1_acc: 0.8596, top5_acc: 0.9921, mean_class_accuracy: 0.8162 2023-12-23 17:51:25,458 - pyskl - INFO - Epoch [74][100/1281] lr: 1.300e-02, eta: 11:31:36, time: 0.698, data_time: 0.260, memory: 4130, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 2.0006, loss: 2.0006 2023-12-23 17:52:08,631 - pyskl - INFO - Epoch [74][200/1281] lr: 1.298e-02, eta: 11:30:55, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.9694, loss: 1.9694 2023-12-23 17:52:51,027 - pyskl - INFO - Epoch [74][300/1281] lr: 1.296e-02, eta: 11:30:14, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 2.0147, loss: 2.0147 2023-12-23 17:53:33,793 - pyskl - INFO - Epoch [74][400/1281] lr: 1.294e-02, eta: 11:29:32, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9275, top5_acc: 0.9975, loss_cls: 2.0342, loss: 2.0342 2023-12-23 17:54:16,955 - pyskl - INFO - Epoch [74][500/1281] lr: 1.292e-02, eta: 11:28:51, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.9263, top5_acc: 0.9975, loss_cls: 2.0212, loss: 2.0212 2023-12-23 17:55:00,428 - pyskl - INFO - Epoch [74][600/1281] lr: 1.290e-02, eta: 11:28:10, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 2.0679, loss: 2.0679 2023-12-23 17:55:44,551 - pyskl - INFO - Epoch [74][700/1281] lr: 1.288e-02, eta: 11:27:30, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 2.0307, loss: 2.0307 2023-12-23 17:56:29,088 - pyskl - INFO - Epoch [74][800/1281] lr: 1.286e-02, eta: 11:26:51, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9387, top5_acc: 1.0000, loss_cls: 2.0066, loss: 2.0066 2023-12-23 17:57:13,834 - pyskl - INFO - Epoch [74][900/1281] lr: 1.284e-02, eta: 11:26:11, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 2.0181, loss: 2.0181 2023-12-23 17:57:58,638 - pyskl - INFO - Epoch [74][1000/1281] lr: 1.282e-02, eta: 11:25:32, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 2.0355, loss: 2.0355 2023-12-23 17:58:41,950 - pyskl - INFO - Epoch [74][1100/1281] lr: 1.280e-02, eta: 11:24:51, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 2.0192, loss: 2.0192 2023-12-23 17:59:26,660 - pyskl - INFO - Epoch [74][1200/1281] lr: 1.278e-02, eta: 11:24:12, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9275, top5_acc: 0.9969, loss_cls: 2.0284, loss: 2.0284 2023-12-23 17:59:54,556 - pyskl - INFO - Saving checkpoint at 74 epochs 2023-12-23 18:01:09,724 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:01:09,787 - pyskl - INFO - top1_acc 0.8765 top5_acc 0.9905 2023-12-23 18:01:09,787 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:01:09,795 - pyskl - INFO - mean_acc 0.8295 2023-12-23 18:01:09,798 - pyskl - INFO - Epoch(val) [74][533] top1_acc: 0.8765, top5_acc: 0.9905, mean_class_accuracy: 0.8295 2023-12-23 18:02:17,674 - pyskl - INFO - Epoch [75][100/1281] lr: 1.274e-02, eta: 11:22:47, time: 0.679, data_time: 0.254, memory: 4130, top1_acc: 0.9394, top5_acc: 1.0000, loss_cls: 1.9709, loss: 1.9709 2023-12-23 18:03:01,860 - pyskl - INFO - Epoch [75][200/1281] lr: 1.272e-02, eta: 11:22:07, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 1.9849, loss: 1.9849 2023-12-23 18:03:46,128 - pyskl - INFO - Epoch [75][300/1281] lr: 1.270e-02, eta: 11:21:27, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 2.0091, loss: 2.0091 2023-12-23 18:04:30,380 - pyskl - INFO - Epoch [75][400/1281] lr: 1.268e-02, eta: 11:20:47, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 2.0083, loss: 2.0083 2023-12-23 18:05:15,099 - pyskl - INFO - Epoch [75][500/1281] lr: 1.266e-02, eta: 11:20:07, time: 0.447, data_time: 0.000, memory: 4130, top1_acc: 0.9169, top5_acc: 0.9988, loss_cls: 2.0364, loss: 2.0364 2023-12-23 18:05:59,573 - pyskl - INFO - Epoch [75][600/1281] lr: 1.264e-02, eta: 11:19:28, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9319, top5_acc: 1.0000, loss_cls: 2.0172, loss: 2.0172 2023-12-23 18:06:44,585 - pyskl - INFO - Epoch [75][700/1281] lr: 1.262e-02, eta: 11:18:48, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 1.9883, loss: 1.9883 2023-12-23 18:07:30,034 - pyskl - INFO - Epoch [75][800/1281] lr: 1.260e-02, eta: 11:18:10, time: 0.454, data_time: 0.001, memory: 4130, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 1.9826, loss: 1.9826 2023-12-23 18:08:15,038 - pyskl - INFO - Epoch [75][900/1281] lr: 1.258e-02, eta: 11:17:30, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 2.0158, loss: 2.0158 2023-12-23 18:08:58,436 - pyskl - INFO - Epoch [75][1000/1281] lr: 1.256e-02, eta: 11:16:49, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.9200, top5_acc: 0.9988, loss_cls: 2.0472, loss: 2.0472 2023-12-23 18:09:41,329 - pyskl - INFO - Epoch [75][1100/1281] lr: 1.254e-02, eta: 11:16:08, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 1.9710, loss: 1.9710 2023-12-23 18:10:23,639 - pyskl - INFO - Epoch [75][1200/1281] lr: 1.252e-02, eta: 11:15:26, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 2.0070, loss: 2.0070 2023-12-23 18:10:52,131 - pyskl - INFO - Saving checkpoint at 75 epochs 2023-12-23 18:12:06,105 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:12:06,174 - pyskl - INFO - top1_acc 0.8714 top5_acc 0.9919 2023-12-23 18:12:06,175 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:12:06,189 - pyskl - INFO - mean_acc 0.8405 2023-12-23 18:12:06,194 - pyskl - INFO - Epoch(val) [75][533] top1_acc: 0.8714, top5_acc: 0.9919, mean_class_accuracy: 0.8405 2023-12-23 18:13:16,081 - pyskl - INFO - Epoch [76][100/1281] lr: 1.248e-02, eta: 11:14:03, time: 0.699, data_time: 0.255, memory: 4130, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.9402, loss: 1.9402 2023-12-23 18:14:00,753 - pyskl - INFO - Epoch [76][200/1281] lr: 1.246e-02, eta: 11:13:24, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 1.9835, loss: 1.9835 2023-12-23 18:14:44,749 - pyskl - INFO - Epoch [76][300/1281] lr: 1.244e-02, eta: 11:12:43, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 1.9811, loss: 1.9811 2023-12-23 18:15:27,982 - pyskl - INFO - Epoch [76][400/1281] lr: 1.242e-02, eta: 11:12:02, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 2.0065, loss: 2.0065 2023-12-23 18:16:13,477 - pyskl - INFO - Epoch [76][500/1281] lr: 1.240e-02, eta: 11:11:24, time: 0.455, data_time: 0.001, memory: 4130, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 1.9914, loss: 1.9914 2023-12-23 18:16:58,065 - pyskl - INFO - Epoch [76][600/1281] lr: 1.238e-02, eta: 11:10:44, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 1.9889, loss: 1.9889 2023-12-23 18:17:43,405 - pyskl - INFO - Epoch [76][700/1281] lr: 1.236e-02, eta: 11:10:05, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 1.9727, loss: 1.9727 2023-12-23 18:18:28,395 - pyskl - INFO - Epoch [76][800/1281] lr: 1.234e-02, eta: 11:09:25, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 1.9780, loss: 1.9780 2023-12-23 18:19:11,939 - pyskl - INFO - Epoch [76][900/1281] lr: 1.232e-02, eta: 11:08:45, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 1.9761, loss: 1.9761 2023-12-23 18:19:57,636 - pyskl - INFO - Epoch [76][1000/1281] lr: 1.230e-02, eta: 11:08:06, time: 0.457, data_time: 0.001, memory: 4130, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 2.0712, loss: 2.0712 2023-12-23 18:20:42,827 - pyskl - INFO - Epoch [76][1100/1281] lr: 1.228e-02, eta: 11:07:27, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.9319, top5_acc: 0.9988, loss_cls: 2.0185, loss: 2.0185 2023-12-23 18:21:27,727 - pyskl - INFO - Epoch [76][1200/1281] lr: 1.225e-02, eta: 11:06:47, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 2.0228, loss: 2.0228 2023-12-23 18:21:55,586 - pyskl - INFO - Saving checkpoint at 76 epochs 2023-12-23 18:23:09,481 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:23:09,549 - pyskl - INFO - top1_acc 0.8616 top5_acc 0.9914 2023-12-23 18:23:09,549 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:23:09,557 - pyskl - INFO - mean_acc 0.8092 2023-12-23 18:23:09,560 - pyskl - INFO - Epoch(val) [76][533] top1_acc: 0.8616, top5_acc: 0.9914, mean_class_accuracy: 0.8092 2023-12-23 18:24:14,004 - pyskl - INFO - Epoch [77][100/1281] lr: 1.222e-02, eta: 11:05:19, time: 0.644, data_time: 0.214, memory: 4130, top1_acc: 0.9406, top5_acc: 1.0000, loss_cls: 1.9864, loss: 1.9864 2023-12-23 18:24:58,513 - pyskl - INFO - Epoch [77][200/1281] lr: 1.220e-02, eta: 11:04:39, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 1.9847, loss: 1.9847 2023-12-23 18:25:41,677 - pyskl - INFO - Epoch [77][300/1281] lr: 1.218e-02, eta: 11:03:58, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 1.9924, loss: 1.9924 2023-12-23 18:26:26,759 - pyskl - INFO - Epoch [77][400/1281] lr: 1.216e-02, eta: 11:03:19, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.9325, top5_acc: 0.9981, loss_cls: 2.0061, loss: 2.0061 2023-12-23 18:27:12,235 - pyskl - INFO - Epoch [77][500/1281] lr: 1.214e-02, eta: 11:02:40, time: 0.455, data_time: 0.001, memory: 4130, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 1.9982, loss: 1.9982 2023-12-23 18:27:57,293 - pyskl - INFO - Epoch [77][600/1281] lr: 1.212e-02, eta: 11:02:01, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.9231, top5_acc: 0.9975, loss_cls: 2.0419, loss: 2.0419 2023-12-23 18:28:41,288 - pyskl - INFO - Epoch [77][700/1281] lr: 1.210e-02, eta: 11:01:20, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.9692, loss: 1.9692 2023-12-23 18:29:25,036 - pyskl - INFO - Epoch [77][800/1281] lr: 1.207e-02, eta: 11:00:39, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.9275, top5_acc: 0.9988, loss_cls: 2.0113, loss: 2.0113 2023-12-23 18:30:07,807 - pyskl - INFO - Epoch [77][900/1281] lr: 1.205e-02, eta: 10:59:58, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 2.0153, loss: 2.0153 2023-12-23 18:30:52,950 - pyskl - INFO - Epoch [77][1000/1281] lr: 1.203e-02, eta: 10:59:19, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 2.0042, loss: 2.0042 2023-12-23 18:31:37,048 - pyskl - INFO - Epoch [77][1100/1281] lr: 1.201e-02, eta: 10:58:38, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.9175, top5_acc: 0.9975, loss_cls: 2.0346, loss: 2.0346 2023-12-23 18:32:21,364 - pyskl - INFO - Epoch [77][1200/1281] lr: 1.199e-02, eta: 10:57:58, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 2.0147, loss: 2.0147 2023-12-23 18:32:51,433 - pyskl - INFO - Saving checkpoint at 77 epochs 2023-12-23 18:34:08,256 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:34:08,327 - pyskl - INFO - top1_acc 0.8729 top5_acc 0.9927 2023-12-23 18:34:08,328 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:34:08,335 - pyskl - INFO - mean_acc 0.8355 2023-12-23 18:34:08,338 - pyskl - INFO - Epoch(val) [77][533] top1_acc: 0.8729, top5_acc: 0.9927, mean_class_accuracy: 0.8355 2023-12-23 18:35:15,512 - pyskl - INFO - Epoch [78][100/1281] lr: 1.196e-02, eta: 10:56:33, time: 0.672, data_time: 0.225, memory: 4130, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 1.9686, loss: 1.9686 2023-12-23 18:35:59,709 - pyskl - INFO - Epoch [78][200/1281] lr: 1.194e-02, eta: 10:55:53, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 1.9970, loss: 1.9970 2023-12-23 18:36:44,457 - pyskl - INFO - Epoch [78][300/1281] lr: 1.192e-02, eta: 10:55:13, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 1.9582, loss: 1.9582 2023-12-23 18:37:27,497 - pyskl - INFO - Epoch [78][400/1281] lr: 1.190e-02, eta: 10:54:32, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.9858, loss: 1.9858 2023-12-23 18:38:11,698 - pyskl - INFO - Epoch [78][500/1281] lr: 1.187e-02, eta: 10:53:51, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 2.0020, loss: 2.0020 2023-12-23 18:38:57,360 - pyskl - INFO - Epoch [78][600/1281] lr: 1.185e-02, eta: 10:53:12, time: 0.457, data_time: 0.001, memory: 4130, top1_acc: 0.9337, top5_acc: 0.9981, loss_cls: 1.9948, loss: 1.9948 2023-12-23 18:39:42,607 - pyskl - INFO - Epoch [78][700/1281] lr: 1.183e-02, eta: 10:52:33, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.9256, top5_acc: 0.9969, loss_cls: 2.0445, loss: 2.0445 2023-12-23 18:40:27,523 - pyskl - INFO - Epoch [78][800/1281] lr: 1.181e-02, eta: 10:51:53, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 1.9991, loss: 1.9991 2023-12-23 18:41:12,707 - pyskl - INFO - Epoch [78][900/1281] lr: 1.179e-02, eta: 10:51:14, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 1.9883, loss: 1.9883 2023-12-23 18:41:56,591 - pyskl - INFO - Epoch [78][1000/1281] lr: 1.177e-02, eta: 10:50:33, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 2.0249, loss: 2.0249 2023-12-23 18:42:41,211 - pyskl - INFO - Epoch [78][1100/1281] lr: 1.175e-02, eta: 10:49:54, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9306, top5_acc: 0.9994, loss_cls: 2.0155, loss: 2.0155 2023-12-23 18:43:26,434 - pyskl - INFO - Epoch [78][1200/1281] lr: 1.173e-02, eta: 10:49:14, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.9175, top5_acc: 0.9988, loss_cls: 2.0300, loss: 2.0300 2023-12-23 18:43:57,901 - pyskl - INFO - Saving checkpoint at 78 epochs 2023-12-23 18:45:15,315 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:45:15,404 - pyskl - INFO - top1_acc 0.8756 top5_acc 0.9932 2023-12-23 18:45:15,404 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:45:15,419 - pyskl - INFO - mean_acc 0.8279 2023-12-23 18:45:15,422 - pyskl - INFO - Epoch(val) [78][533] top1_acc: 0.8756, top5_acc: 0.9932, mean_class_accuracy: 0.8279 2023-12-23 18:46:21,400 - pyskl - INFO - Epoch [79][100/1281] lr: 1.169e-02, eta: 10:47:48, time: 0.660, data_time: 0.231, memory: 4130, top1_acc: 0.9406, top5_acc: 1.0000, loss_cls: 1.9773, loss: 1.9773 2023-12-23 18:47:04,382 - pyskl - INFO - Epoch [79][200/1281] lr: 1.167e-02, eta: 10:47:07, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 1.9826, loss: 1.9826 2023-12-23 18:47:47,275 - pyskl - INFO - Epoch [79][300/1281] lr: 1.165e-02, eta: 10:46:25, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 1.9709, loss: 1.9709 2023-12-23 18:48:30,338 - pyskl - INFO - Epoch [79][400/1281] lr: 1.163e-02, eta: 10:45:44, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 1.9875, loss: 1.9875 2023-12-23 18:49:14,541 - pyskl - INFO - Epoch [79][500/1281] lr: 1.161e-02, eta: 10:45:03, time: 0.442, data_time: 0.000, memory: 4130, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 1.9921, loss: 1.9921 2023-12-23 18:50:00,100 - pyskl - INFO - Epoch [79][600/1281] lr: 1.159e-02, eta: 10:44:24, time: 0.456, data_time: 0.001, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 2.0512, loss: 2.0512 2023-12-23 18:50:45,159 - pyskl - INFO - Epoch [79][700/1281] lr: 1.157e-02, eta: 10:43:45, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.9269, top5_acc: 1.0000, loss_cls: 2.0236, loss: 2.0236 2023-12-23 18:51:28,678 - pyskl - INFO - Epoch [79][800/1281] lr: 1.155e-02, eta: 10:43:04, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9400, top5_acc: 1.0000, loss_cls: 1.9960, loss: 1.9960 2023-12-23 18:52:14,182 - pyskl - INFO - Epoch [79][900/1281] lr: 1.153e-02, eta: 10:42:24, time: 0.455, data_time: 0.001, memory: 4130, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 1.9801, loss: 1.9801 2023-12-23 18:52:59,476 - pyskl - INFO - Epoch [79][1000/1281] lr: 1.151e-02, eta: 10:41:45, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.9281, top5_acc: 0.9975, loss_cls: 2.0176, loss: 2.0176 2023-12-23 18:53:44,396 - pyskl - INFO - Epoch [79][1100/1281] lr: 1.149e-02, eta: 10:41:05, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 2.0016, loss: 2.0016 2023-12-23 18:54:28,895 - pyskl - INFO - Epoch [79][1200/1281] lr: 1.147e-02, eta: 10:40:25, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 2.0070, loss: 2.0070 2023-12-23 18:55:00,850 - pyskl - INFO - Saving checkpoint at 79 epochs 2023-12-23 18:56:18,609 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 18:56:18,677 - pyskl - INFO - top1_acc 0.8823 top5_acc 0.9920 2023-12-23 18:56:18,678 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 18:56:18,690 - pyskl - INFO - mean_acc 0.8274 2023-12-23 18:56:18,732 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_66.pth was removed 2023-12-23 18:56:19,036 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. 2023-12-23 18:56:19,037 - pyskl - INFO - Best top1_acc is 0.8823 at 79 epoch. 2023-12-23 18:56:19,040 - pyskl - INFO - Epoch(val) [79][533] top1_acc: 0.8823, top5_acc: 0.9920, mean_class_accuracy: 0.8274 2023-12-23 18:57:26,278 - pyskl - INFO - Epoch [80][100/1281] lr: 1.143e-02, eta: 10:39:01, time: 0.672, data_time: 0.224, memory: 4130, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 1.9629, loss: 1.9629 2023-12-23 18:58:10,972 - pyskl - INFO - Epoch [80][200/1281] lr: 1.141e-02, eta: 10:38:21, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 1.9774, loss: 1.9774 2023-12-23 18:58:56,004 - pyskl - INFO - Epoch [80][300/1281] lr: 1.139e-02, eta: 10:37:41, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 1.9751, loss: 1.9751 2023-12-23 18:59:41,175 - pyskl - INFO - Epoch [80][400/1281] lr: 1.137e-02, eta: 10:37:01, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 2.0024, loss: 2.0024 2023-12-23 19:00:26,540 - pyskl - INFO - Epoch [80][500/1281] lr: 1.135e-02, eta: 10:36:22, time: 0.454, data_time: 0.001, memory: 4130, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 1.9709, loss: 1.9709 2023-12-23 19:01:09,928 - pyskl - INFO - Epoch [80][600/1281] lr: 1.133e-02, eta: 10:35:41, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 1.9939, loss: 1.9939 2023-12-23 19:01:53,222 - pyskl - INFO - Epoch [80][700/1281] lr: 1.131e-02, eta: 10:34:59, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 2.0259, loss: 2.0259 2023-12-23 19:02:35,779 - pyskl - INFO - Epoch [80][800/1281] lr: 1.129e-02, eta: 10:34:18, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 2.0551, loss: 2.0551 2023-12-23 19:03:19,246 - pyskl - INFO - Epoch [80][900/1281] lr: 1.127e-02, eta: 10:33:36, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 2.0016, loss: 2.0016 2023-12-23 19:04:04,124 - pyskl - INFO - Epoch [80][1000/1281] lr: 1.125e-02, eta: 10:32:57, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.9287, top5_acc: 0.9981, loss_cls: 2.0118, loss: 2.0118 2023-12-23 19:04:49,383 - pyskl - INFO - Epoch [80][1100/1281] lr: 1.123e-02, eta: 10:32:17, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.9206, top5_acc: 0.9962, loss_cls: 2.0444, loss: 2.0444 2023-12-23 19:05:33,638 - pyskl - INFO - Epoch [80][1200/1281] lr: 1.121e-02, eta: 10:31:37, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 2.0087, loss: 2.0087 2023-12-23 19:06:05,500 - pyskl - INFO - Saving checkpoint at 80 epochs 2023-12-23 19:07:22,628 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:07:22,697 - pyskl - INFO - top1_acc 0.8787 top5_acc 0.9923 2023-12-23 19:07:22,697 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 19:07:22,708 - pyskl - INFO - mean_acc 0.8331 2023-12-23 19:07:22,710 - pyskl - INFO - Epoch(val) [80][533] top1_acc: 0.8787, top5_acc: 0.9923, mean_class_accuracy: 0.8331 2023-12-23 19:08:29,628 - pyskl - INFO - Epoch [81][100/1281] lr: 1.117e-02, eta: 10:30:12, time: 0.669, data_time: 0.218, memory: 4130, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 1.9609, loss: 1.9609 2023-12-23 19:09:15,192 - pyskl - INFO - Epoch [81][200/1281] lr: 1.115e-02, eta: 10:29:33, time: 0.456, data_time: 0.001, memory: 4130, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 1.9514, loss: 1.9514 2023-12-23 19:10:00,129 - pyskl - INFO - Epoch [81][300/1281] lr: 1.113e-02, eta: 10:28:53, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 1.9570, loss: 1.9570 2023-12-23 19:10:45,244 - pyskl - INFO - Epoch [81][400/1281] lr: 1.111e-02, eta: 10:28:13, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.9534, loss: 1.9534 2023-12-23 19:11:30,411 - pyskl - INFO - Epoch [81][500/1281] lr: 1.109e-02, eta: 10:27:33, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 1.9605, loss: 1.9605 2023-12-23 19:12:15,728 - pyskl - INFO - Epoch [81][600/1281] lr: 1.107e-02, eta: 10:26:54, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 1.9991, loss: 1.9991 2023-12-23 19:13:00,491 - pyskl - INFO - Epoch [81][700/1281] lr: 1.105e-02, eta: 10:26:14, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.9413, top5_acc: 1.0000, loss_cls: 1.9808, loss: 1.9808 2023-12-23 19:13:44,933 - pyskl - INFO - Epoch [81][800/1281] lr: 1.103e-02, eta: 10:25:33, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 1.9822, loss: 1.9822 2023-12-23 19:14:29,764 - pyskl - INFO - Epoch [81][900/1281] lr: 1.101e-02, eta: 10:24:53, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 2.0183, loss: 2.0183 2023-12-23 19:15:14,386 - pyskl - INFO - Epoch [81][1000/1281] lr: 1.099e-02, eta: 10:24:13, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9250, top5_acc: 1.0000, loss_cls: 2.0261, loss: 2.0261 2023-12-23 19:15:59,069 - pyskl - INFO - Epoch [81][1100/1281] lr: 1.097e-02, eta: 10:23:33, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 1.9948, loss: 1.9948 2023-12-23 19:16:43,777 - pyskl - INFO - Epoch [81][1200/1281] lr: 1.095e-02, eta: 10:22:53, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 1.9691, loss: 1.9691 2023-12-23 19:17:15,166 - pyskl - INFO - Saving checkpoint at 81 epochs 2023-12-23 19:18:32,271 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:18:32,342 - pyskl - INFO - top1_acc 0.8707 top5_acc 0.9917 2023-12-23 19:18:32,342 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 19:18:32,352 - pyskl - INFO - mean_acc 0.8395 2023-12-23 19:18:32,359 - pyskl - INFO - Epoch(val) [81][533] top1_acc: 0.8707, top5_acc: 0.9917, mean_class_accuracy: 0.8395 2023-12-23 19:19:36,099 - pyskl - INFO - Epoch [82][100/1281] lr: 1.091e-02, eta: 10:21:26, time: 0.637, data_time: 0.213, memory: 4130, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 1.9588, loss: 1.9588 2023-12-23 19:20:20,597 - pyskl - INFO - Epoch [82][200/1281] lr: 1.089e-02, eta: 10:20:45, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 1.9650, loss: 1.9650 2023-12-23 19:21:05,015 - pyskl - INFO - Epoch [82][300/1281] lr: 1.087e-02, eta: 10:20:05, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 1.9609, loss: 1.9609 2023-12-23 19:21:50,207 - pyskl - INFO - Epoch [82][400/1281] lr: 1.085e-02, eta: 10:19:25, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 1.9541, loss: 1.9541 2023-12-23 19:22:35,573 - pyskl - INFO - Epoch [82][500/1281] lr: 1.083e-02, eta: 10:18:46, time: 0.454, data_time: 0.001, memory: 4130, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 1.9597, loss: 1.9597 2023-12-23 19:23:19,415 - pyskl - INFO - Epoch [82][600/1281] lr: 1.081e-02, eta: 10:18:05, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 1.9650, loss: 1.9650 2023-12-23 19:24:02,093 - pyskl - INFO - Epoch [82][700/1281] lr: 1.079e-02, eta: 10:17:23, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 1.9930, loss: 1.9930 2023-12-23 19:24:45,450 - pyskl - INFO - Epoch [82][800/1281] lr: 1.077e-02, eta: 10:16:41, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 1.9852, loss: 1.9852 2023-12-23 19:25:30,560 - pyskl - INFO - Epoch [82][900/1281] lr: 1.075e-02, eta: 10:16:02, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 1.9999, loss: 1.9999 2023-12-23 19:26:15,816 - pyskl - INFO - Epoch [82][1000/1281] lr: 1.073e-02, eta: 10:15:22, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 2.0061, loss: 2.0061 2023-12-23 19:26:59,772 - pyskl - INFO - Epoch [82][1100/1281] lr: 1.071e-02, eta: 10:14:41, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.9387, top5_acc: 0.9975, loss_cls: 2.0086, loss: 2.0086 2023-12-23 19:27:44,650 - pyskl - INFO - Epoch [82][1200/1281] lr: 1.069e-02, eta: 10:14:01, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.9325, top5_acc: 0.9994, loss_cls: 2.0201, loss: 2.0201 2023-12-23 19:28:16,084 - pyskl - INFO - Saving checkpoint at 82 epochs 2023-12-23 19:29:32,293 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:29:32,349 - pyskl - INFO - top1_acc 0.8789 top5_acc 0.9923 2023-12-23 19:29:32,350 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 19:29:32,357 - pyskl - INFO - mean_acc 0.8468 2023-12-23 19:29:32,360 - pyskl - INFO - Epoch(val) [82][533] top1_acc: 0.8789, top5_acc: 0.9923, mean_class_accuracy: 0.8468 2023-12-23 19:30:37,683 - pyskl - INFO - Epoch [83][100/1281] lr: 1.065e-02, eta: 10:12:35, time: 0.653, data_time: 0.206, memory: 4130, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 1.9829, loss: 1.9829 2023-12-23 19:31:21,622 - pyskl - INFO - Epoch [83][200/1281] lr: 1.063e-02, eta: 10:11:54, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 1.9713, loss: 1.9713 2023-12-23 19:32:05,775 - pyskl - INFO - Epoch [83][300/1281] lr: 1.061e-02, eta: 10:11:14, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 1.9744, loss: 1.9744 2023-12-23 19:32:50,711 - pyskl - INFO - Epoch [83][400/1281] lr: 1.059e-02, eta: 10:10:34, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 1.9545, loss: 1.9545 2023-12-23 19:33:34,172 - pyskl - INFO - Epoch [83][500/1281] lr: 1.057e-02, eta: 10:09:52, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 1.9853, loss: 1.9853 2023-12-23 19:34:18,041 - pyskl - INFO - Epoch [83][600/1281] lr: 1.055e-02, eta: 10:09:11, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 1.9852, loss: 1.9852 2023-12-23 19:35:02,500 - pyskl - INFO - Epoch [83][700/1281] lr: 1.053e-02, eta: 10:08:31, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 2.0112, loss: 2.0112 2023-12-23 19:35:47,091 - pyskl - INFO - Epoch [83][800/1281] lr: 1.051e-02, eta: 10:07:51, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 2.0138, loss: 2.0138 2023-12-23 19:36:32,436 - pyskl - INFO - Epoch [83][900/1281] lr: 1.049e-02, eta: 10:07:11, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9994, loss_cls: 1.9969, loss: 1.9969 2023-12-23 19:37:15,998 - pyskl - INFO - Epoch [83][1000/1281] lr: 1.047e-02, eta: 10:06:30, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9487, top5_acc: 1.0000, loss_cls: 1.9687, loss: 1.9687 2023-12-23 19:38:01,077 - pyskl - INFO - Epoch [83][1100/1281] lr: 1.045e-02, eta: 10:05:50, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.9375, top5_acc: 0.9994, loss_cls: 1.9990, loss: 1.9990 2023-12-23 19:38:45,732 - pyskl - INFO - Epoch [83][1200/1281] lr: 1.043e-02, eta: 10:05:09, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 1.9983, loss: 1.9983 2023-12-23 19:39:16,519 - pyskl - INFO - Saving checkpoint at 83 epochs 2023-12-23 19:40:33,595 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:40:33,692 - pyskl - INFO - top1_acc 0.8829 top5_acc 0.9924 2023-12-23 19:40:33,692 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 19:40:33,702 - pyskl - INFO - mean_acc 0.8380 2023-12-23 19:40:33,707 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_79.pth was removed 2023-12-23 19:40:34,021 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_83.pth. 2023-12-23 19:40:34,022 - pyskl - INFO - Best top1_acc is 0.8829 at 83 epoch. 2023-12-23 19:40:34,026 - pyskl - INFO - Epoch(val) [83][533] top1_acc: 0.8829, top5_acc: 0.9924, mean_class_accuracy: 0.8380 2023-12-23 19:41:40,442 - pyskl - INFO - Epoch [84][100/1281] lr: 1.040e-02, eta: 10:03:45, time: 0.664, data_time: 0.238, memory: 4130, top1_acc: 0.9269, top5_acc: 0.9975, loss_cls: 2.0268, loss: 2.0268 2023-12-23 19:42:24,954 - pyskl - INFO - Epoch [84][200/1281] lr: 1.038e-02, eta: 10:03:04, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 1.9699, loss: 1.9699 2023-12-23 19:43:09,131 - pyskl - INFO - Epoch [84][300/1281] lr: 1.036e-02, eta: 10:02:24, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 1.9727, loss: 1.9727 2023-12-23 19:43:53,492 - pyskl - INFO - Epoch [84][400/1281] lr: 1.034e-02, eta: 10:01:43, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 1.9489, loss: 1.9489 2023-12-23 19:44:36,748 - pyskl - INFO - Epoch [84][500/1281] lr: 1.031e-02, eta: 10:01:02, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 1.9763, loss: 1.9763 2023-12-23 19:45:18,968 - pyskl - INFO - Epoch [84][600/1281] lr: 1.029e-02, eta: 10:00:19, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 1.9543, loss: 1.9543 2023-12-23 19:46:01,993 - pyskl - INFO - Epoch [84][700/1281] lr: 1.027e-02, eta: 9:59:38, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 1.9531, loss: 1.9531 2023-12-23 19:46:46,120 - pyskl - INFO - Epoch [84][800/1281] lr: 1.025e-02, eta: 9:58:57, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 1.9752, loss: 1.9752 2023-12-23 19:47:29,729 - pyskl - INFO - Epoch [84][900/1281] lr: 1.023e-02, eta: 9:58:16, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9375, top5_acc: 1.0000, loss_cls: 1.9912, loss: 1.9912 2023-12-23 19:48:12,399 - pyskl - INFO - Epoch [84][1000/1281] lr: 1.021e-02, eta: 9:57:34, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 1.9899, loss: 1.9899 2023-12-23 19:48:54,824 - pyskl - INFO - Epoch [84][1100/1281] lr: 1.019e-02, eta: 9:56:52, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 1.9822, loss: 1.9822 2023-12-23 19:49:38,991 - pyskl - INFO - Epoch [84][1200/1281] lr: 1.017e-02, eta: 9:56:11, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.9929, loss: 1.9929 2023-12-23 19:50:08,779 - pyskl - INFO - Saving checkpoint at 84 epochs 2023-12-23 19:51:19,403 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 19:51:19,479 - pyskl - INFO - top1_acc 0.8768 top5_acc 0.9921 2023-12-23 19:51:19,479 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 19:51:19,491 - pyskl - INFO - mean_acc 0.8227 2023-12-23 19:51:19,495 - pyskl - INFO - Epoch(val) [84][533] top1_acc: 0.8768, top5_acc: 0.9921, mean_class_accuracy: 0.8227 2023-12-23 19:52:26,914 - pyskl - INFO - Epoch [85][100/1281] lr: 1.014e-02, eta: 9:54:47, time: 0.674, data_time: 0.230, memory: 4130, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 1.9701, loss: 1.9701 2023-12-23 19:53:11,205 - pyskl - INFO - Epoch [85][200/1281] lr: 1.012e-02, eta: 9:54:06, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.9468, loss: 1.9468 2023-12-23 19:53:53,710 - pyskl - INFO - Epoch [85][300/1281] lr: 1.010e-02, eta: 9:53:24, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 1.9549, loss: 1.9549 2023-12-23 19:54:35,852 - pyskl - INFO - Epoch [85][400/1281] lr: 1.008e-02, eta: 9:52:42, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 1.9730, loss: 1.9730 2023-12-23 19:55:18,218 - pyskl - INFO - Epoch [85][500/1281] lr: 1.006e-02, eta: 9:52:00, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.9377, loss: 1.9377 2023-12-23 19:56:00,522 - pyskl - INFO - Epoch [85][600/1281] lr: 1.004e-02, eta: 9:51:18, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.9434, loss: 1.9434 2023-12-23 19:56:43,169 - pyskl - INFO - Epoch [85][700/1281] lr: 1.002e-02, eta: 9:50:36, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 1.9383, loss: 1.9383 2023-12-23 19:57:26,447 - pyskl - INFO - Epoch [85][800/1281] lr: 9.998e-03, eta: 9:49:54, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 1.9780, loss: 1.9780 2023-12-23 19:58:09,578 - pyskl - INFO - Epoch [85][900/1281] lr: 9.978e-03, eta: 9:49:13, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 1.9976, loss: 1.9976 2023-12-23 19:58:52,863 - pyskl - INFO - Epoch [85][1000/1281] lr: 9.958e-03, eta: 9:48:31, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 2.0009, loss: 2.0009 2023-12-23 19:59:37,322 - pyskl - INFO - Epoch [85][1100/1281] lr: 9.937e-03, eta: 9:47:50, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 1.9807, loss: 1.9807 2023-12-23 20:00:21,620 - pyskl - INFO - Epoch [85][1200/1281] lr: 9.917e-03, eta: 9:47:10, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 2.0058, loss: 2.0058 2023-12-23 20:00:50,999 - pyskl - INFO - Saving checkpoint at 85 epochs 2023-12-23 20:02:05,516 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:02:05,574 - pyskl - INFO - top1_acc 0.8864 top5_acc 0.9941 2023-12-23 20:02:05,574 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:02:05,582 - pyskl - INFO - mean_acc 0.8411 2023-12-23 20:02:05,590 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_83.pth was removed 2023-12-23 20:02:05,887 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_85.pth. 2023-12-23 20:02:05,888 - pyskl - INFO - Best top1_acc is 0.8864 at 85 epoch. 2023-12-23 20:02:05,891 - pyskl - INFO - Epoch(val) [85][533] top1_acc: 0.8864, top5_acc: 0.9941, mean_class_accuracy: 0.8411 2023-12-23 20:03:08,578 - pyskl - INFO - Epoch [86][100/1281] lr: 9.881e-03, eta: 9:45:43, time: 0.627, data_time: 0.204, memory: 4130, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 1.9329, loss: 1.9329 2023-12-23 20:03:51,566 - pyskl - INFO - Epoch [86][200/1281] lr: 9.861e-03, eta: 9:45:01, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 1.9631, loss: 1.9631 2023-12-23 20:04:36,345 - pyskl - INFO - Epoch [86][300/1281] lr: 9.841e-03, eta: 9:44:21, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 2.0062, loss: 2.0062 2023-12-23 20:05:19,446 - pyskl - INFO - Epoch [86][400/1281] lr: 9.821e-03, eta: 9:43:39, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 1.9872, loss: 1.9872 2023-12-23 20:06:01,854 - pyskl - INFO - Epoch [86][500/1281] lr: 9.801e-03, eta: 9:42:57, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 1.9662, loss: 1.9662 2023-12-23 20:06:44,018 - pyskl - INFO - Epoch [86][600/1281] lr: 9.781e-03, eta: 9:42:15, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.9444, top5_acc: 1.0000, loss_cls: 1.9591, loss: 1.9591 2023-12-23 20:07:27,299 - pyskl - INFO - Epoch [86][700/1281] lr: 9.762e-03, eta: 9:41:33, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 1.9523, loss: 1.9523 2023-12-23 20:08:11,615 - pyskl - INFO - Epoch [86][800/1281] lr: 9.742e-03, eta: 9:40:52, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 2.0029, loss: 2.0029 2023-12-23 20:08:55,212 - pyskl - INFO - Epoch [86][900/1281] lr: 9.722e-03, eta: 9:40:11, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 1.9901, loss: 1.9901 2023-12-23 20:09:39,249 - pyskl - INFO - Epoch [86][1000/1281] lr: 9.702e-03, eta: 9:39:30, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 1.9609, loss: 1.9609 2023-12-23 20:10:22,898 - pyskl - INFO - Epoch [86][1100/1281] lr: 9.682e-03, eta: 9:38:49, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 1.9688, loss: 1.9688 2023-12-23 20:11:07,697 - pyskl - INFO - Epoch [86][1200/1281] lr: 9.662e-03, eta: 9:38:08, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 1.9915, loss: 1.9915 2023-12-23 20:11:37,000 - pyskl - INFO - Saving checkpoint at 86 epochs 2023-12-23 20:12:48,915 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:12:48,982 - pyskl - INFO - top1_acc 0.8906 top5_acc 0.9933 2023-12-23 20:12:48,982 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:12:49,002 - pyskl - INFO - mean_acc 0.8563 2023-12-23 20:12:49,034 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_85.pth was removed 2023-12-23 20:12:49,302 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. 2023-12-23 20:12:49,303 - pyskl - INFO - Best top1_acc is 0.8906 at 86 epoch. 2023-12-23 20:12:49,305 - pyskl - INFO - Epoch(val) [86][533] top1_acc: 0.8906, top5_acc: 0.9933, mean_class_accuracy: 0.8563 2023-12-23 20:13:55,045 - pyskl - INFO - Epoch [87][100/1281] lr: 9.626e-03, eta: 9:36:44, time: 0.657, data_time: 0.232, memory: 4130, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 1.9519, loss: 1.9519 2023-12-23 20:14:38,160 - pyskl - INFO - Epoch [87][200/1281] lr: 9.606e-03, eta: 9:36:02, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.9422, loss: 1.9422 2023-12-23 20:15:23,010 - pyskl - INFO - Epoch [87][300/1281] lr: 9.586e-03, eta: 9:35:22, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 1.9601, loss: 1.9601 2023-12-23 20:16:06,968 - pyskl - INFO - Epoch [87][400/1281] lr: 9.566e-03, eta: 9:34:41, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.9299, loss: 1.9299 2023-12-23 20:16:50,972 - pyskl - INFO - Epoch [87][500/1281] lr: 9.546e-03, eta: 9:34:00, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 1.9790, loss: 1.9790 2023-12-23 20:17:34,273 - pyskl - INFO - Epoch [87][600/1281] lr: 9.527e-03, eta: 9:33:18, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.9351, loss: 1.9351 2023-12-23 20:18:17,639 - pyskl - INFO - Epoch [87][700/1281] lr: 9.507e-03, eta: 9:32:37, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.9513, loss: 1.9513 2023-12-23 20:19:01,068 - pyskl - INFO - Epoch [87][800/1281] lr: 9.487e-03, eta: 9:31:56, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.9444, top5_acc: 1.0000, loss_cls: 1.9642, loss: 1.9642 2023-12-23 20:19:46,120 - pyskl - INFO - Epoch [87][900/1281] lr: 9.467e-03, eta: 9:31:15, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 1.9755, loss: 1.9755 2023-12-23 20:20:29,801 - pyskl - INFO - Epoch [87][1000/1281] lr: 9.447e-03, eta: 9:30:34, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 1.9673, loss: 1.9673 2023-12-23 20:21:12,161 - pyskl - INFO - Epoch [87][1100/1281] lr: 9.427e-03, eta: 9:29:52, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 1.9788, loss: 1.9788 2023-12-23 20:21:55,072 - pyskl - INFO - Epoch [87][1200/1281] lr: 9.408e-03, eta: 9:29:10, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 2.0041, loss: 2.0041 2023-12-23 20:22:22,970 - pyskl - INFO - Saving checkpoint at 87 epochs 2023-12-23 20:23:38,671 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:23:38,754 - pyskl - INFO - top1_acc 0.8936 top5_acc 0.9933 2023-12-23 20:23:38,755 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:23:38,772 - pyskl - INFO - mean_acc 0.8502 2023-12-23 20:23:38,779 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_86.pth was removed 2023-12-23 20:23:39,065 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. 2023-12-23 20:23:39,065 - pyskl - INFO - Best top1_acc is 0.8936 at 87 epoch. 2023-12-23 20:23:39,068 - pyskl - INFO - Epoch(val) [87][533] top1_acc: 0.8936, top5_acc: 0.9933, mean_class_accuracy: 0.8502 2023-12-23 20:24:45,869 - pyskl - INFO - Epoch [88][100/1281] lr: 9.372e-03, eta: 9:27:47, time: 0.668, data_time: 0.238, memory: 4130, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9086, loss: 1.9086 2023-12-23 20:25:28,760 - pyskl - INFO - Epoch [88][200/1281] lr: 9.352e-03, eta: 9:27:05, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.9315, loss: 1.9315 2023-12-23 20:26:12,429 - pyskl - INFO - Epoch [88][300/1281] lr: 9.332e-03, eta: 9:26:23, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 1.9562, loss: 1.9562 2023-12-23 20:26:56,134 - pyskl - INFO - Epoch [88][400/1281] lr: 9.312e-03, eta: 9:25:42, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 1.9488, loss: 1.9488 2023-12-23 20:27:39,838 - pyskl - INFO - Epoch [88][500/1281] lr: 9.293e-03, eta: 9:25:01, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 1.9435, loss: 1.9435 2023-12-23 20:28:24,138 - pyskl - INFO - Epoch [88][600/1281] lr: 9.273e-03, eta: 9:24:20, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 1.9664, loss: 1.9664 2023-12-23 20:29:07,768 - pyskl - INFO - Epoch [88][700/1281] lr: 9.253e-03, eta: 9:23:39, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 1.9447, loss: 1.9447 2023-12-23 20:29:52,561 - pyskl - INFO - Epoch [88][800/1281] lr: 9.233e-03, eta: 9:22:58, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 1.9484, loss: 1.9484 2023-12-23 20:30:35,987 - pyskl - INFO - Epoch [88][900/1281] lr: 9.214e-03, eta: 9:22:17, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 1.9796, loss: 1.9796 2023-12-23 20:31:20,599 - pyskl - INFO - Epoch [88][1000/1281] lr: 9.194e-03, eta: 9:21:36, time: 0.446, data_time: 0.000, memory: 4130, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 1.9633, loss: 1.9633 2023-12-23 20:32:05,214 - pyskl - INFO - Epoch [88][1100/1281] lr: 9.174e-03, eta: 9:20:56, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 1.9839, loss: 1.9839 2023-12-23 20:32:50,124 - pyskl - INFO - Epoch [88][1200/1281] lr: 9.155e-03, eta: 9:20:15, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 1.9681, loss: 1.9681 2023-12-23 20:33:19,084 - pyskl - INFO - Saving checkpoint at 88 epochs 2023-12-23 20:34:30,702 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:34:30,758 - pyskl - INFO - top1_acc 0.8682 top5_acc 0.9932 2023-12-23 20:34:30,758 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:34:30,765 - pyskl - INFO - mean_acc 0.8286 2023-12-23 20:34:30,767 - pyskl - INFO - Epoch(val) [88][533] top1_acc: 0.8682, top5_acc: 0.9932, mean_class_accuracy: 0.8286 2023-12-23 20:35:31,490 - pyskl - INFO - Epoch [89][100/1281] lr: 9.119e-03, eta: 9:18:48, time: 0.607, data_time: 0.184, memory: 4130, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 1.9784, loss: 1.9784 2023-12-23 20:36:14,971 - pyskl - INFO - Epoch [89][200/1281] lr: 9.099e-03, eta: 9:18:06, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.9406, loss: 1.9406 2023-12-23 20:36:59,225 - pyskl - INFO - Epoch [89][300/1281] lr: 9.080e-03, eta: 9:17:25, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 1.9590, loss: 1.9590 2023-12-23 20:37:43,678 - pyskl - INFO - Epoch [89][400/1281] lr: 9.060e-03, eta: 9:16:45, time: 0.445, data_time: 0.000, memory: 4130, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 1.9513, loss: 1.9513 2023-12-23 20:38:28,011 - pyskl - INFO - Epoch [89][500/1281] lr: 9.040e-03, eta: 9:16:04, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 1.9768, loss: 1.9768 2023-12-23 20:39:11,389 - pyskl - INFO - Epoch [89][600/1281] lr: 9.021e-03, eta: 9:15:22, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 1.9616, loss: 1.9616 2023-12-23 20:39:54,912 - pyskl - INFO - Epoch [89][700/1281] lr: 9.001e-03, eta: 9:14:41, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 1.9645, loss: 1.9645 2023-12-23 20:40:37,858 - pyskl - INFO - Epoch [89][800/1281] lr: 8.982e-03, eta: 9:13:59, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 1.9577, loss: 1.9577 2023-12-23 20:41:21,862 - pyskl - INFO - Epoch [89][900/1281] lr: 8.962e-03, eta: 9:13:18, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 1.9643, loss: 1.9643 2023-12-23 20:42:05,107 - pyskl - INFO - Epoch [89][1000/1281] lr: 8.942e-03, eta: 9:12:36, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 1.9539, loss: 1.9539 2023-12-23 20:42:48,969 - pyskl - INFO - Epoch [89][1100/1281] lr: 8.923e-03, eta: 9:11:55, time: 0.439, data_time: 0.000, memory: 4130, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 1.9725, loss: 1.9725 2023-12-23 20:43:31,623 - pyskl - INFO - Epoch [89][1200/1281] lr: 8.903e-03, eta: 9:11:13, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 1.9559, loss: 1.9559 2023-12-23 20:44:00,520 - pyskl - INFO - Saving checkpoint at 89 epochs 2023-12-23 20:45:12,372 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:45:12,453 - pyskl - INFO - top1_acc 0.8911 top5_acc 0.9932 2023-12-23 20:45:12,453 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:45:12,462 - pyskl - INFO - mean_acc 0.8523 2023-12-23 20:45:12,465 - pyskl - INFO - Epoch(val) [89][533] top1_acc: 0.8911, top5_acc: 0.9932, mean_class_accuracy: 0.8523 2023-12-23 20:46:19,878 - pyskl - INFO - Epoch [90][100/1281] lr: 8.868e-03, eta: 9:09:50, time: 0.674, data_time: 0.244, memory: 4130, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.9327, loss: 1.9327 2023-12-23 20:47:01,935 - pyskl - INFO - Epoch [90][200/1281] lr: 8.848e-03, eta: 9:09:08, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 1.9551, loss: 1.9551 2023-12-23 20:47:44,728 - pyskl - INFO - Epoch [90][300/1281] lr: 8.829e-03, eta: 9:08:26, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.9413, loss: 1.9413 2023-12-23 20:48:27,444 - pyskl - INFO - Epoch [90][400/1281] lr: 8.809e-03, eta: 9:07:44, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 1.9547, loss: 1.9547 2023-12-23 20:49:09,703 - pyskl - INFO - Epoch [90][500/1281] lr: 8.790e-03, eta: 9:07:02, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 1.9382, loss: 1.9382 2023-12-23 20:49:52,461 - pyskl - INFO - Epoch [90][600/1281] lr: 8.770e-03, eta: 9:06:20, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 1.9612, loss: 1.9612 2023-12-23 20:50:35,240 - pyskl - INFO - Epoch [90][700/1281] lr: 8.751e-03, eta: 9:05:38, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 1.9741, loss: 1.9741 2023-12-23 20:51:19,792 - pyskl - INFO - Epoch [90][800/1281] lr: 8.731e-03, eta: 9:04:57, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 1.9732, loss: 1.9732 2023-12-23 20:52:04,617 - pyskl - INFO - Epoch [90][900/1281] lr: 8.712e-03, eta: 9:04:17, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 1.9522, loss: 1.9522 2023-12-23 20:52:47,391 - pyskl - INFO - Epoch [90][1000/1281] lr: 8.692e-03, eta: 9:03:35, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 1.9742, loss: 1.9742 2023-12-23 20:53:29,967 - pyskl - INFO - Epoch [90][1100/1281] lr: 8.673e-03, eta: 9:02:52, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.9583, loss: 1.9583 2023-12-23 20:54:12,254 - pyskl - INFO - Epoch [90][1200/1281] lr: 8.653e-03, eta: 9:02:10, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.9766, loss: 1.9766 2023-12-23 20:54:39,446 - pyskl - INFO - Saving checkpoint at 90 epochs 2023-12-23 20:55:48,710 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 20:55:48,771 - pyskl - INFO - top1_acc 0.8995 top5_acc 0.9953 2023-12-23 20:55:48,771 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 20:55:48,789 - pyskl - INFO - mean_acc 0.8576 2023-12-23 20:55:48,815 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_87.pth was removed 2023-12-23 20:55:49,090 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_90.pth. 2023-12-23 20:55:49,091 - pyskl - INFO - Best top1_acc is 0.8995 at 90 epoch. 2023-12-23 20:55:49,093 - pyskl - INFO - Epoch(val) [90][533] top1_acc: 0.8995, top5_acc: 0.9953, mean_class_accuracy: 0.8576 2023-12-23 20:56:54,577 - pyskl - INFO - Epoch [91][100/1281] lr: 8.618e-03, eta: 9:00:46, time: 0.655, data_time: 0.230, memory: 4130, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.9092, loss: 1.9092 2023-12-23 20:57:37,111 - pyskl - INFO - Epoch [91][200/1281] lr: 8.599e-03, eta: 9:00:04, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.9272, loss: 1.9272 2023-12-23 20:58:19,499 - pyskl - INFO - Epoch [91][300/1281] lr: 8.579e-03, eta: 8:59:22, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 1.9359, loss: 1.9359 2023-12-23 20:59:02,451 - pyskl - INFO - Epoch [91][400/1281] lr: 8.560e-03, eta: 8:58:40, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 1.9772, loss: 1.9772 2023-12-23 20:59:45,454 - pyskl - INFO - Epoch [91][500/1281] lr: 8.540e-03, eta: 8:57:58, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 1.9487, loss: 1.9487 2023-12-23 21:00:28,380 - pyskl - INFO - Epoch [91][600/1281] lr: 8.521e-03, eta: 8:57:17, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 1.9593, loss: 1.9593 2023-12-23 21:01:11,027 - pyskl - INFO - Epoch [91][700/1281] lr: 8.502e-03, eta: 8:56:35, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 1.9507, loss: 1.9507 2023-12-23 21:01:53,895 - pyskl - INFO - Epoch [91][800/1281] lr: 8.482e-03, eta: 8:55:53, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 1.9430, loss: 1.9430 2023-12-23 21:02:38,037 - pyskl - INFO - Epoch [91][900/1281] lr: 8.463e-03, eta: 8:55:12, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 1.9627, loss: 1.9627 2023-12-23 21:03:21,935 - pyskl - INFO - Epoch [91][1000/1281] lr: 8.444e-03, eta: 8:54:30, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 1.9454, loss: 1.9454 2023-12-23 21:04:05,527 - pyskl - INFO - Epoch [91][1100/1281] lr: 8.424e-03, eta: 8:53:49, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 1.9426, loss: 1.9426 2023-12-23 21:04:49,050 - pyskl - INFO - Epoch [91][1200/1281] lr: 8.405e-03, eta: 8:53:08, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 1.9755, loss: 1.9755 2023-12-23 21:05:16,998 - pyskl - INFO - Saving checkpoint at 91 epochs 2023-12-23 21:06:30,832 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:06:30,907 - pyskl - INFO - top1_acc 0.8799 top5_acc 0.9883 2023-12-23 21:06:30,907 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:06:30,915 - pyskl - INFO - mean_acc 0.8275 2023-12-23 21:06:30,917 - pyskl - INFO - Epoch(val) [91][533] top1_acc: 0.8799, top5_acc: 0.9883, mean_class_accuracy: 0.8275 2023-12-23 21:07:39,395 - pyskl - INFO - Epoch [92][100/1281] lr: 8.370e-03, eta: 8:51:46, time: 0.685, data_time: 0.248, memory: 4130, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 1.9836, loss: 1.9836 2023-12-23 21:08:23,264 - pyskl - INFO - Epoch [92][200/1281] lr: 8.351e-03, eta: 8:51:05, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.9174, loss: 1.9174 2023-12-23 21:09:06,715 - pyskl - INFO - Epoch [92][300/1281] lr: 8.332e-03, eta: 8:50:23, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.9287, loss: 1.9287 2023-12-23 21:09:50,172 - pyskl - INFO - Epoch [92][400/1281] lr: 8.312e-03, eta: 8:49:42, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.9366, loss: 1.9366 2023-12-23 21:10:33,303 - pyskl - INFO - Epoch [92][500/1281] lr: 8.293e-03, eta: 8:49:00, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 1.9684, loss: 1.9684 2023-12-23 21:11:16,319 - pyskl - INFO - Epoch [92][600/1281] lr: 8.274e-03, eta: 8:48:18, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 1.9799, loss: 1.9799 2023-12-23 21:12:00,009 - pyskl - INFO - Epoch [92][700/1281] lr: 8.255e-03, eta: 8:47:37, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.9465, loss: 1.9465 2023-12-23 21:12:43,298 - pyskl - INFO - Epoch [92][800/1281] lr: 8.235e-03, eta: 8:46:55, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 1.9646, loss: 1.9646 2023-12-23 21:13:27,562 - pyskl - INFO - Epoch [92][900/1281] lr: 8.216e-03, eta: 8:46:14, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 1.9812, loss: 1.9812 2023-12-23 21:14:12,722 - pyskl - INFO - Epoch [92][1000/1281] lr: 8.197e-03, eta: 8:45:33, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 1.9614, loss: 1.9614 2023-12-23 21:14:57,244 - pyskl - INFO - Epoch [92][1100/1281] lr: 8.178e-03, eta: 8:44:53, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 1.9642, loss: 1.9642 2023-12-23 21:15:39,567 - pyskl - INFO - Epoch [92][1200/1281] lr: 8.159e-03, eta: 8:44:10, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.9517, loss: 1.9517 2023-12-23 21:16:05,988 - pyskl - INFO - Saving checkpoint at 92 epochs 2023-12-23 21:17:11,762 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:17:11,835 - pyskl - INFO - top1_acc 0.9010 top5_acc 0.9942 2023-12-23 21:17:11,835 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:17:11,844 - pyskl - INFO - mean_acc 0.8646 2023-12-23 21:17:11,849 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_90.pth was removed 2023-12-23 21:17:12,105 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_92.pth. 2023-12-23 21:17:12,105 - pyskl - INFO - Best top1_acc is 0.9010 at 92 epoch. 2023-12-23 21:17:12,108 - pyskl - INFO - Epoch(val) [92][533] top1_acc: 0.9010, top5_acc: 0.9942, mean_class_accuracy: 0.8646 2023-12-23 21:18:13,169 - pyskl - INFO - Epoch [93][100/1281] lr: 8.124e-03, eta: 8:42:44, time: 0.611, data_time: 0.191, memory: 4130, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.9332, loss: 1.9332 2023-12-23 21:18:55,404 - pyskl - INFO - Epoch [93][200/1281] lr: 8.105e-03, eta: 8:42:02, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 1.9297, loss: 1.9297 2023-12-23 21:19:38,595 - pyskl - INFO - Epoch [93][300/1281] lr: 8.086e-03, eta: 8:41:20, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 1.9292, loss: 1.9292 2023-12-23 21:20:21,424 - pyskl - INFO - Epoch [93][400/1281] lr: 8.067e-03, eta: 8:40:38, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 1.9679, loss: 1.9679 2023-12-23 21:21:04,029 - pyskl - INFO - Epoch [93][500/1281] lr: 8.047e-03, eta: 8:39:56, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.9289, loss: 1.9289 2023-12-23 21:21:46,686 - pyskl - INFO - Epoch [93][600/1281] lr: 8.028e-03, eta: 8:39:14, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.9441, loss: 1.9441 2023-12-23 21:22:29,310 - pyskl - INFO - Epoch [93][700/1281] lr: 8.009e-03, eta: 8:38:32, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.9331, loss: 1.9331 2023-12-23 21:23:11,944 - pyskl - INFO - Epoch [93][800/1281] lr: 7.990e-03, eta: 8:37:50, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.9386, loss: 1.9386 2023-12-23 21:23:54,638 - pyskl - INFO - Epoch [93][900/1281] lr: 7.971e-03, eta: 8:37:08, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 1.9382, loss: 1.9382 2023-12-23 21:24:37,027 - pyskl - INFO - Epoch [93][1000/1281] lr: 7.952e-03, eta: 8:36:26, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 1.9603, loss: 1.9603 2023-12-23 21:25:18,693 - pyskl - INFO - Epoch [93][1100/1281] lr: 7.933e-03, eta: 8:35:43, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 1.9657, loss: 1.9657 2023-12-23 21:26:00,317 - pyskl - INFO - Epoch [93][1200/1281] lr: 7.914e-03, eta: 8:35:00, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 1.9564, loss: 1.9564 2023-12-23 21:26:25,173 - pyskl - INFO - Saving checkpoint at 93 epochs 2023-12-23 21:27:28,270 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:27:28,340 - pyskl - INFO - top1_acc 0.8986 top5_acc 0.9945 2023-12-23 21:27:28,340 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:27:28,349 - pyskl - INFO - mean_acc 0.8531 2023-12-23 21:27:28,352 - pyskl - INFO - Epoch(val) [93][533] top1_acc: 0.8986, top5_acc: 0.9945, mean_class_accuracy: 0.8531 2023-12-23 21:28:27,337 - pyskl - INFO - Epoch [94][100/1281] lr: 7.880e-03, eta: 8:33:33, time: 0.590, data_time: 0.167, memory: 4130, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.9378, loss: 1.9378 2023-12-23 21:29:09,049 - pyskl - INFO - Epoch [94][200/1281] lr: 7.861e-03, eta: 8:32:51, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.9139, loss: 1.9139 2023-12-23 21:29:50,873 - pyskl - INFO - Epoch [94][300/1281] lr: 7.842e-03, eta: 8:32:08, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 1.9489, loss: 1.9489 2023-12-23 21:30:32,558 - pyskl - INFO - Epoch [94][400/1281] lr: 7.823e-03, eta: 8:31:25, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 1.9640, loss: 1.9640 2023-12-23 21:31:14,284 - pyskl - INFO - Epoch [94][500/1281] lr: 7.804e-03, eta: 8:30:43, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9487, top5_acc: 1.0000, loss_cls: 1.9604, loss: 1.9604 2023-12-23 21:31:55,959 - pyskl - INFO - Epoch [94][600/1281] lr: 7.785e-03, eta: 8:30:00, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 1.9587, loss: 1.9587 2023-12-23 21:32:37,771 - pyskl - INFO - Epoch [94][700/1281] lr: 7.766e-03, eta: 8:29:18, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.9171, loss: 1.9171 2023-12-23 21:33:19,422 - pyskl - INFO - Epoch [94][800/1281] lr: 7.747e-03, eta: 8:28:35, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 1.9343, loss: 1.9343 2023-12-23 21:34:01,227 - pyskl - INFO - Epoch [94][900/1281] lr: 7.728e-03, eta: 8:27:53, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 1.9483, loss: 1.9483 2023-12-23 21:34:42,915 - pyskl - INFO - Epoch [94][1000/1281] lr: 7.709e-03, eta: 8:27:10, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 1.9470, loss: 1.9470 2023-12-23 21:35:24,575 - pyskl - INFO - Epoch [94][1100/1281] lr: 7.690e-03, eta: 8:26:27, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.9240, loss: 1.9240 2023-12-23 21:36:06,317 - pyskl - INFO - Epoch [94][1200/1281] lr: 7.672e-03, eta: 8:25:45, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 1.9538, loss: 1.9538 2023-12-23 21:36:31,623 - pyskl - INFO - Saving checkpoint at 94 epochs 2023-12-23 21:37:35,751 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:37:35,816 - pyskl - INFO - top1_acc 0.9013 top5_acc 0.9951 2023-12-23 21:37:35,817 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:37:35,826 - pyskl - INFO - mean_acc 0.8679 2023-12-23 21:37:35,833 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_92.pth was removed 2023-12-23 21:37:36,071 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. 2023-12-23 21:37:36,071 - pyskl - INFO - Best top1_acc is 0.9013 at 94 epoch. 2023-12-23 21:37:36,075 - pyskl - INFO - Epoch(val) [94][533] top1_acc: 0.9013, top5_acc: 0.9951, mean_class_accuracy: 0.8679 2023-12-23 21:38:35,701 - pyskl - INFO - Epoch [95][100/1281] lr: 7.637e-03, eta: 8:24:18, time: 0.596, data_time: 0.173, memory: 4130, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.9132, loss: 1.9132 2023-12-23 21:39:17,421 - pyskl - INFO - Epoch [95][200/1281] lr: 7.619e-03, eta: 8:23:36, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.8930, loss: 1.8930 2023-12-23 21:39:59,092 - pyskl - INFO - Epoch [95][300/1281] lr: 7.600e-03, eta: 8:22:53, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9104, loss: 1.9104 2023-12-23 21:40:40,807 - pyskl - INFO - Epoch [95][400/1281] lr: 7.581e-03, eta: 8:22:11, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.9348, loss: 1.9348 2023-12-23 21:41:22,525 - pyskl - INFO - Epoch [95][500/1281] lr: 7.562e-03, eta: 8:21:28, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.9109, loss: 1.9109 2023-12-23 21:42:04,308 - pyskl - INFO - Epoch [95][600/1281] lr: 7.543e-03, eta: 8:20:46, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.9350, loss: 1.9350 2023-12-23 21:42:45,983 - pyskl - INFO - Epoch [95][700/1281] lr: 7.525e-03, eta: 8:20:03, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.9327, loss: 1.9327 2023-12-23 21:43:27,605 - pyskl - INFO - Epoch [95][800/1281] lr: 7.506e-03, eta: 8:19:20, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.9417, loss: 1.9417 2023-12-23 21:44:09,447 - pyskl - INFO - Epoch [95][900/1281] lr: 7.487e-03, eta: 8:18:38, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.9260, loss: 1.9260 2023-12-23 21:44:51,111 - pyskl - INFO - Epoch [95][1000/1281] lr: 7.468e-03, eta: 8:17:55, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.9278, loss: 1.9278 2023-12-23 21:45:32,872 - pyskl - INFO - Epoch [95][1100/1281] lr: 7.450e-03, eta: 8:17:13, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 1.9632, loss: 1.9632 2023-12-23 21:46:14,583 - pyskl - INFO - Epoch [95][1200/1281] lr: 7.431e-03, eta: 8:16:30, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 1.9553, loss: 1.9553 2023-12-23 21:46:39,160 - pyskl - INFO - Saving checkpoint at 95 epochs 2023-12-23 21:47:42,698 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:47:42,756 - pyskl - INFO - top1_acc 0.8894 top5_acc 0.9945 2023-12-23 21:47:42,756 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:47:42,763 - pyskl - INFO - mean_acc 0.8582 2023-12-23 21:47:42,766 - pyskl - INFO - Epoch(val) [95][533] top1_acc: 0.8894, top5_acc: 0.9945, mean_class_accuracy: 0.8582 2023-12-23 21:48:41,726 - pyskl - INFO - Epoch [96][100/1281] lr: 7.397e-03, eta: 8:15:04, time: 0.590, data_time: 0.172, memory: 4130, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 1.9258, loss: 1.9258 2023-12-23 21:49:23,457 - pyskl - INFO - Epoch [96][200/1281] lr: 7.379e-03, eta: 8:14:21, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.9248, loss: 1.9248 2023-12-23 21:50:05,191 - pyskl - INFO - Epoch [96][300/1281] lr: 7.360e-03, eta: 8:13:39, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.9274, loss: 1.9274 2023-12-23 21:50:46,836 - pyskl - INFO - Epoch [96][400/1281] lr: 7.341e-03, eta: 8:12:56, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.9343, loss: 1.9343 2023-12-23 21:51:28,541 - pyskl - INFO - Epoch [96][500/1281] lr: 7.323e-03, eta: 8:12:14, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.9025, loss: 1.9025 2023-12-23 21:52:10,222 - pyskl - INFO - Epoch [96][600/1281] lr: 7.304e-03, eta: 8:11:31, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.9003, loss: 1.9003 2023-12-23 21:52:51,904 - pyskl - INFO - Epoch [96][700/1281] lr: 7.286e-03, eta: 8:10:49, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.9173, loss: 1.9173 2023-12-23 21:53:33,693 - pyskl - INFO - Epoch [96][800/1281] lr: 7.267e-03, eta: 8:10:06, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.9275, loss: 1.9275 2023-12-23 21:54:15,409 - pyskl - INFO - Epoch [96][900/1281] lr: 7.249e-03, eta: 8:09:24, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 1.9710, loss: 1.9710 2023-12-23 21:54:57,165 - pyskl - INFO - Epoch [96][1000/1281] lr: 7.230e-03, eta: 8:08:41, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.9526, loss: 1.9526 2023-12-23 21:55:38,770 - pyskl - INFO - Epoch [96][1100/1281] lr: 7.211e-03, eta: 8:07:59, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.9255, loss: 1.9255 2023-12-23 21:56:20,529 - pyskl - INFO - Epoch [96][1200/1281] lr: 7.193e-03, eta: 8:07:16, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.9430, loss: 1.9430 2023-12-23 21:56:45,251 - pyskl - INFO - Saving checkpoint at 96 epochs 2023-12-23 21:57:48,588 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 21:57:48,646 - pyskl - INFO - top1_acc 0.8995 top5_acc 0.9950 2023-12-23 21:57:48,646 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 21:57:48,654 - pyskl - INFO - mean_acc 0.8648 2023-12-23 21:57:48,657 - pyskl - INFO - Epoch(val) [96][533] top1_acc: 0.8995, top5_acc: 0.9950, mean_class_accuracy: 0.8648 2023-12-23 21:58:48,535 - pyskl - INFO - Epoch [97][100/1281] lr: 7.159e-03, eta: 8:05:51, time: 0.599, data_time: 0.172, memory: 4130, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 1.9159, loss: 1.9159 2023-12-23 21:59:31,135 - pyskl - INFO - Epoch [97][200/1281] lr: 7.141e-03, eta: 8:05:09, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.9230, loss: 1.9230 2023-12-23 22:00:13,693 - pyskl - INFO - Epoch [97][300/1281] lr: 7.123e-03, eta: 8:04:27, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.9180, loss: 1.9180 2023-12-23 22:00:56,326 - pyskl - INFO - Epoch [97][400/1281] lr: 7.104e-03, eta: 8:03:45, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.9297, loss: 1.9297 2023-12-23 22:01:38,205 - pyskl - INFO - Epoch [97][500/1281] lr: 7.086e-03, eta: 8:03:02, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.9297, loss: 1.9297 2023-12-23 22:02:19,994 - pyskl - INFO - Epoch [97][600/1281] lr: 7.067e-03, eta: 8:02:20, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.9022, loss: 1.9022 2023-12-23 22:03:01,723 - pyskl - INFO - Epoch [97][700/1281] lr: 7.049e-03, eta: 8:01:37, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.9378, loss: 1.9378 2023-12-23 22:03:43,638 - pyskl - INFO - Epoch [97][800/1281] lr: 7.030e-03, eta: 8:00:55, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.9283, loss: 1.9283 2023-12-23 22:04:25,276 - pyskl - INFO - Epoch [97][900/1281] lr: 7.012e-03, eta: 8:00:12, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.9121, loss: 1.9121 2023-12-23 22:05:06,984 - pyskl - INFO - Epoch [97][1000/1281] lr: 6.994e-03, eta: 7:59:30, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.9625, loss: 1.9625 2023-12-23 22:05:48,777 - pyskl - INFO - Epoch [97][1100/1281] lr: 6.975e-03, eta: 7:58:48, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.9398, loss: 1.9398 2023-12-23 22:06:30,571 - pyskl - INFO - Epoch [97][1200/1281] lr: 6.957e-03, eta: 7:58:05, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 1.9505, loss: 1.9505 2023-12-23 22:06:54,873 - pyskl - INFO - Saving checkpoint at 97 epochs 2023-12-23 22:07:57,829 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:07:57,906 - pyskl - INFO - top1_acc 0.8972 top5_acc 0.9942 2023-12-23 22:07:57,906 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:07:57,916 - pyskl - INFO - mean_acc 0.8679 2023-12-23 22:07:57,919 - pyskl - INFO - Epoch(val) [97][533] top1_acc: 0.8972, top5_acc: 0.9942, mean_class_accuracy: 0.8679 2023-12-23 22:08:56,652 - pyskl - INFO - Epoch [98][100/1281] lr: 6.924e-03, eta: 7:56:39, time: 0.587, data_time: 0.170, memory: 4130, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.8914, loss: 1.8914 2023-12-23 22:09:38,370 - pyskl - INFO - Epoch [98][200/1281] lr: 6.906e-03, eta: 7:55:57, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.8904, loss: 1.8904 2023-12-23 22:10:20,226 - pyskl - INFO - Epoch [98][300/1281] lr: 6.887e-03, eta: 7:55:14, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9006, loss: 1.9006 2023-12-23 22:11:02,089 - pyskl - INFO - Epoch [98][400/1281] lr: 6.869e-03, eta: 7:54:32, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.9362, loss: 1.9362 2023-12-23 22:11:43,674 - pyskl - INFO - Epoch [98][500/1281] lr: 6.851e-03, eta: 7:53:49, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.9180, loss: 1.9180 2023-12-23 22:12:25,416 - pyskl - INFO - Epoch [98][600/1281] lr: 6.833e-03, eta: 7:53:07, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.8984, loss: 1.8984 2023-12-23 22:13:07,083 - pyskl - INFO - Epoch [98][700/1281] lr: 6.814e-03, eta: 7:52:24, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 1.9371, loss: 1.9371 2023-12-23 22:13:48,746 - pyskl - INFO - Epoch [98][800/1281] lr: 6.796e-03, eta: 7:51:42, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.9246, loss: 1.9246 2023-12-23 22:14:30,402 - pyskl - INFO - Epoch [98][900/1281] lr: 6.778e-03, eta: 7:51:00, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 1.9613, loss: 1.9613 2023-12-23 22:15:12,275 - pyskl - INFO - Epoch [98][1000/1281] lr: 6.760e-03, eta: 7:50:17, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.9453, loss: 1.9453 2023-12-23 22:15:53,987 - pyskl - INFO - Epoch [98][1100/1281] lr: 6.742e-03, eta: 7:49:35, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9226, loss: 1.9226 2023-12-23 22:16:35,599 - pyskl - INFO - Epoch [98][1200/1281] lr: 6.724e-03, eta: 7:48:52, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 1.9517, loss: 1.9517 2023-12-23 22:17:00,092 - pyskl - INFO - Saving checkpoint at 98 epochs 2023-12-23 22:18:02,899 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:18:02,967 - pyskl - INFO - top1_acc 0.8960 top5_acc 0.9950 2023-12-23 22:18:02,968 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:18:02,976 - pyskl - INFO - mean_acc 0.8569 2023-12-23 22:18:02,978 - pyskl - INFO - Epoch(val) [98][533] top1_acc: 0.8960, top5_acc: 0.9950, mean_class_accuracy: 0.8569 2023-12-23 22:19:01,646 - pyskl - INFO - Epoch [99][100/1281] lr: 6.691e-03, eta: 7:47:27, time: 0.587, data_time: 0.169, memory: 4130, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 1.9169, loss: 1.9169 2023-12-23 22:19:44,264 - pyskl - INFO - Epoch [99][200/1281] lr: 6.673e-03, eta: 7:46:45, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9181, loss: 1.9181 2023-12-23 22:20:26,794 - pyskl - INFO - Epoch [99][300/1281] lr: 6.655e-03, eta: 7:46:03, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 1.9273, loss: 1.9273 2023-12-23 22:21:09,351 - pyskl - INFO - Epoch [99][400/1281] lr: 6.637e-03, eta: 7:45:21, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9101, loss: 1.9101 2023-12-23 22:21:51,883 - pyskl - INFO - Epoch [99][500/1281] lr: 6.619e-03, eta: 7:44:39, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.9061, loss: 1.9061 2023-12-23 22:22:33,796 - pyskl - INFO - Epoch [99][600/1281] lr: 6.601e-03, eta: 7:43:56, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9219, loss: 1.9219 2023-12-23 22:23:15,481 - pyskl - INFO - Epoch [99][700/1281] lr: 6.583e-03, eta: 7:43:14, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.9101, loss: 1.9101 2023-12-23 22:23:57,197 - pyskl - INFO - Epoch [99][800/1281] lr: 6.565e-03, eta: 7:42:32, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.9050, loss: 1.9050 2023-12-23 22:24:39,050 - pyskl - INFO - Epoch [99][900/1281] lr: 6.547e-03, eta: 7:41:49, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.9163, loss: 1.9163 2023-12-23 22:25:20,758 - pyskl - INFO - Epoch [99][1000/1281] lr: 6.529e-03, eta: 7:41:07, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.9256, loss: 1.9256 2023-12-23 22:26:02,443 - pyskl - INFO - Epoch [99][1100/1281] lr: 6.511e-03, eta: 7:40:24, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.9324, loss: 1.9324 2023-12-23 22:26:44,120 - pyskl - INFO - Epoch [99][1200/1281] lr: 6.493e-03, eta: 7:39:42, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.9157, loss: 1.9157 2023-12-23 22:27:09,108 - pyskl - INFO - Saving checkpoint at 99 epochs 2023-12-23 22:28:12,237 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:28:12,293 - pyskl - INFO - top1_acc 0.9018 top5_acc 0.9939 2023-12-23 22:28:12,293 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:28:12,301 - pyskl - INFO - mean_acc 0.8712 2023-12-23 22:28:12,308 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_94.pth was removed 2023-12-23 22:28:12,533 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. 2023-12-23 22:28:12,533 - pyskl - INFO - Best top1_acc is 0.9018 at 99 epoch. 2023-12-23 22:28:12,537 - pyskl - INFO - Epoch(val) [99][533] top1_acc: 0.9018, top5_acc: 0.9939, mean_class_accuracy: 0.8712 2023-12-23 22:29:11,643 - pyskl - INFO - Epoch [100][100/1281] lr: 6.460e-03, eta: 7:38:17, time: 0.591, data_time: 0.174, memory: 4130, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.9085, loss: 1.9085 2023-12-23 22:29:53,458 - pyskl - INFO - Epoch [100][200/1281] lr: 6.442e-03, eta: 7:37:35, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.9278, loss: 1.9278 2023-12-23 22:30:35,176 - pyskl - INFO - Epoch [100][300/1281] lr: 6.425e-03, eta: 7:36:52, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 1.9430, loss: 1.9430 2023-12-23 22:31:16,922 - pyskl - INFO - Epoch [100][400/1281] lr: 6.407e-03, eta: 7:36:10, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.9399, loss: 1.9399 2023-12-23 22:31:58,742 - pyskl - INFO - Epoch [100][500/1281] lr: 6.389e-03, eta: 7:35:27, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.9153, loss: 1.9153 2023-12-23 22:32:40,450 - pyskl - INFO - Epoch [100][600/1281] lr: 6.371e-03, eta: 7:34:45, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.8987, loss: 1.8987 2023-12-23 22:33:22,146 - pyskl - INFO - Epoch [100][700/1281] lr: 6.353e-03, eta: 7:34:03, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.8981, loss: 1.8981 2023-12-23 22:34:03,839 - pyskl - INFO - Epoch [100][800/1281] lr: 6.336e-03, eta: 7:33:20, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.9003, loss: 1.9003 2023-12-23 22:34:45,527 - pyskl - INFO - Epoch [100][900/1281] lr: 6.318e-03, eta: 7:32:38, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.9072, loss: 1.9072 2023-12-23 22:35:27,262 - pyskl - INFO - Epoch [100][1000/1281] lr: 6.300e-03, eta: 7:31:56, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9012, loss: 1.9012 2023-12-23 22:36:09,040 - pyskl - INFO - Epoch [100][1100/1281] lr: 6.282e-03, eta: 7:31:13, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.9118, loss: 1.9118 2023-12-23 22:36:50,658 - pyskl - INFO - Epoch [100][1200/1281] lr: 6.265e-03, eta: 7:30:31, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.9480, loss: 1.9480 2023-12-23 22:37:15,190 - pyskl - INFO - Saving checkpoint at 100 epochs 2023-12-23 22:38:17,764 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:38:17,820 - pyskl - INFO - top1_acc 0.9033 top5_acc 0.9953 2023-12-23 22:38:17,820 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:38:17,828 - pyskl - INFO - mean_acc 0.8637 2023-12-23 22:38:17,832 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_99.pth was removed 2023-12-23 22:38:18,054 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_100.pth. 2023-12-23 22:38:18,055 - pyskl - INFO - Best top1_acc is 0.9033 at 100 epoch. 2023-12-23 22:38:18,057 - pyskl - INFO - Epoch(val) [100][533] top1_acc: 0.9033, top5_acc: 0.9953, mean_class_accuracy: 0.8637 2023-12-23 22:39:17,125 - pyskl - INFO - Epoch [101][100/1281] lr: 6.232e-03, eta: 7:29:06, time: 0.591, data_time: 0.173, memory: 4130, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.8977, loss: 1.8977 2023-12-23 22:39:58,980 - pyskl - INFO - Epoch [101][200/1281] lr: 6.215e-03, eta: 7:28:24, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 1.9141, loss: 1.9141 2023-12-23 22:40:40,655 - pyskl - INFO - Epoch [101][300/1281] lr: 6.197e-03, eta: 7:27:41, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.9308, loss: 1.9308 2023-12-23 22:41:22,369 - pyskl - INFO - Epoch [101][400/1281] lr: 6.180e-03, eta: 7:26:59, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.9259, loss: 1.9259 2023-12-23 22:42:04,138 - pyskl - INFO - Epoch [101][500/1281] lr: 6.162e-03, eta: 7:26:17, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.9370, loss: 1.9370 2023-12-23 22:42:45,762 - pyskl - INFO - Epoch [101][600/1281] lr: 6.144e-03, eta: 7:25:34, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.9348, loss: 1.9348 2023-12-23 22:43:27,542 - pyskl - INFO - Epoch [101][700/1281] lr: 6.127e-03, eta: 7:24:52, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.9131, loss: 1.9131 2023-12-23 22:44:09,187 - pyskl - INFO - Epoch [101][800/1281] lr: 6.109e-03, eta: 7:24:10, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.8974, loss: 1.8974 2023-12-23 22:44:51,057 - pyskl - INFO - Epoch [101][900/1281] lr: 6.092e-03, eta: 7:23:27, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.9323, loss: 1.9323 2023-12-23 22:45:32,780 - pyskl - INFO - Epoch [101][1000/1281] lr: 6.074e-03, eta: 7:22:45, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 1.9741, loss: 1.9741 2023-12-23 22:46:14,653 - pyskl - INFO - Epoch [101][1100/1281] lr: 6.057e-03, eta: 7:22:03, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.9289, loss: 1.9289 2023-12-23 22:46:56,336 - pyskl - INFO - Epoch [101][1200/1281] lr: 6.039e-03, eta: 7:21:20, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.9198, loss: 1.9198 2023-12-23 22:47:20,425 - pyskl - INFO - Saving checkpoint at 101 epochs 2023-12-23 22:48:22,506 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:48:22,561 - pyskl - INFO - top1_acc 0.9086 top5_acc 0.9957 2023-12-23 22:48:22,561 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:48:22,570 - pyskl - INFO - mean_acc 0.8737 2023-12-23 22:48:22,574 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_100.pth was removed 2023-12-23 22:48:22,776 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. 2023-12-23 22:48:22,776 - pyskl - INFO - Best top1_acc is 0.9086 at 101 epoch. 2023-12-23 22:48:22,779 - pyskl - INFO - Epoch(val) [101][533] top1_acc: 0.9086, top5_acc: 0.9957, mean_class_accuracy: 0.8737 2023-12-23 22:49:22,023 - pyskl - INFO - Epoch [102][100/1281] lr: 6.007e-03, eta: 7:19:56, time: 0.592, data_time: 0.175, memory: 4130, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.9068, loss: 1.9068 2023-12-23 22:50:03,848 - pyskl - INFO - Epoch [102][200/1281] lr: 5.990e-03, eta: 7:19:14, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.8999, loss: 1.8999 2023-12-23 22:50:45,443 - pyskl - INFO - Epoch [102][300/1281] lr: 5.972e-03, eta: 7:18:31, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.8968, loss: 1.8968 2023-12-23 22:51:27,180 - pyskl - INFO - Epoch [102][400/1281] lr: 5.955e-03, eta: 7:17:49, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.8991, loss: 1.8991 2023-12-23 22:52:08,887 - pyskl - INFO - Epoch [102][500/1281] lr: 5.938e-03, eta: 7:17:07, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.9011, loss: 1.9011 2023-12-23 22:52:50,552 - pyskl - INFO - Epoch [102][600/1281] lr: 5.920e-03, eta: 7:16:24, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.9079, loss: 1.9079 2023-12-23 22:53:32,368 - pyskl - INFO - Epoch [102][700/1281] lr: 5.903e-03, eta: 7:15:42, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.8959, loss: 1.8959 2023-12-23 22:54:14,030 - pyskl - INFO - Epoch [102][800/1281] lr: 5.886e-03, eta: 7:15:00, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9063, loss: 1.9063 2023-12-23 22:54:55,719 - pyskl - INFO - Epoch [102][900/1281] lr: 5.868e-03, eta: 7:14:17, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9094, loss: 1.9094 2023-12-23 22:55:37,289 - pyskl - INFO - Epoch [102][1000/1281] lr: 5.851e-03, eta: 7:13:35, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.9220, loss: 1.9220 2023-12-23 22:56:18,982 - pyskl - INFO - Epoch [102][1100/1281] lr: 5.834e-03, eta: 7:12:53, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.9125, loss: 1.9125 2023-12-23 22:57:00,762 - pyskl - INFO - Epoch [102][1200/1281] lr: 5.816e-03, eta: 7:12:10, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.9283, loss: 1.9283 2023-12-23 22:57:23,488 - pyskl - INFO - Saving checkpoint at 102 epochs 2023-12-23 22:58:23,775 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 22:58:23,843 - pyskl - INFO - top1_acc 0.9056 top5_acc 0.9933 2023-12-23 22:58:23,843 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 22:58:23,851 - pyskl - INFO - mean_acc 0.8753 2023-12-23 22:58:23,853 - pyskl - INFO - Epoch(val) [102][533] top1_acc: 0.9056, top5_acc: 0.9933, mean_class_accuracy: 0.8753 2023-12-23 22:59:22,795 - pyskl - INFO - Epoch [103][100/1281] lr: 5.785e-03, eta: 7:10:46, time: 0.589, data_time: 0.173, memory: 4130, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.9187, loss: 1.9187 2023-12-23 23:00:04,445 - pyskl - INFO - Epoch [103][200/1281] lr: 5.768e-03, eta: 7:10:04, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.9016, loss: 1.9016 2023-12-23 23:00:46,229 - pyskl - INFO - Epoch [103][300/1281] lr: 5.751e-03, eta: 7:09:21, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.9145, loss: 1.9145 2023-12-23 23:01:27,876 - pyskl - INFO - Epoch [103][400/1281] lr: 5.733e-03, eta: 7:08:39, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.8986, loss: 1.8986 2023-12-23 23:02:09,589 - pyskl - INFO - Epoch [103][500/1281] lr: 5.716e-03, eta: 7:07:57, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.9222, loss: 1.9222 2023-12-23 23:02:51,225 - pyskl - INFO - Epoch [103][600/1281] lr: 5.699e-03, eta: 7:07:14, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.9240, loss: 1.9240 2023-12-23 23:03:32,934 - pyskl - INFO - Epoch [103][700/1281] lr: 5.682e-03, eta: 7:06:32, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.9242, loss: 1.9242 2023-12-23 23:04:14,565 - pyskl - INFO - Epoch [103][800/1281] lr: 5.665e-03, eta: 7:05:50, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.9514, loss: 1.9514 2023-12-23 23:04:56,274 - pyskl - INFO - Epoch [103][900/1281] lr: 5.648e-03, eta: 7:05:08, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.9179, loss: 1.9179 2023-12-23 23:05:38,020 - pyskl - INFO - Epoch [103][1000/1281] lr: 5.631e-03, eta: 7:04:25, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.9380, loss: 1.9380 2023-12-23 23:06:19,780 - pyskl - INFO - Epoch [103][1100/1281] lr: 5.614e-03, eta: 7:03:43, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.9045, loss: 1.9045 2023-12-23 23:07:01,816 - pyskl - INFO - Epoch [103][1200/1281] lr: 5.597e-03, eta: 7:03:01, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.8982, loss: 1.8982 2023-12-23 23:07:24,017 - pyskl - INFO - Saving checkpoint at 103 epochs 2023-12-23 23:08:23,503 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:08:23,560 - pyskl - INFO - top1_acc 0.8995 top5_acc 0.9946 2023-12-23 23:08:23,560 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:08:23,568 - pyskl - INFO - mean_acc 0.8679 2023-12-23 23:08:23,570 - pyskl - INFO - Epoch(val) [103][533] top1_acc: 0.8995, top5_acc: 0.9946, mean_class_accuracy: 0.8679 2023-12-23 23:09:23,050 - pyskl - INFO - Epoch [104][100/1281] lr: 5.566e-03, eta: 7:01:37, time: 0.595, data_time: 0.170, memory: 4130, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8959, loss: 1.8959 2023-12-23 23:10:05,586 - pyskl - INFO - Epoch [104][200/1281] lr: 5.549e-03, eta: 7:00:55, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.8956, loss: 1.8956 2023-12-23 23:10:48,221 - pyskl - INFO - Epoch [104][300/1281] lr: 5.532e-03, eta: 7:00:13, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8829, loss: 1.8829 2023-12-23 23:11:30,806 - pyskl - INFO - Epoch [104][400/1281] lr: 5.515e-03, eta: 6:59:32, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.9012, loss: 1.9012 2023-12-23 23:12:13,331 - pyskl - INFO - Epoch [104][500/1281] lr: 5.498e-03, eta: 6:58:50, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.8845, loss: 1.8845 2023-12-23 23:12:55,909 - pyskl - INFO - Epoch [104][600/1281] lr: 5.481e-03, eta: 6:58:08, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.8867, loss: 1.8867 2023-12-23 23:13:38,548 - pyskl - INFO - Epoch [104][700/1281] lr: 5.464e-03, eta: 6:57:26, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.9008, loss: 1.9008 2023-12-23 23:14:21,094 - pyskl - INFO - Epoch [104][800/1281] lr: 5.447e-03, eta: 6:56:44, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.8999, loss: 1.8999 2023-12-23 23:15:03,616 - pyskl - INFO - Epoch [104][900/1281] lr: 5.430e-03, eta: 6:56:02, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.9053, loss: 1.9053 2023-12-23 23:15:46,170 - pyskl - INFO - Epoch [104][1000/1281] lr: 5.413e-03, eta: 6:55:20, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.8861, loss: 1.8861 2023-12-23 23:16:28,830 - pyskl - INFO - Epoch [104][1100/1281] lr: 5.397e-03, eta: 6:54:38, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8813, loss: 1.8813 2023-12-23 23:17:11,471 - pyskl - INFO - Epoch [104][1200/1281] lr: 5.380e-03, eta: 6:53:57, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9084, loss: 1.9084 2023-12-23 23:17:32,662 - pyskl - INFO - Saving checkpoint at 104 epochs 2023-12-23 23:18:31,249 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:18:31,319 - pyskl - INFO - top1_acc 0.8971 top5_acc 0.9934 2023-12-23 23:18:31,319 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:18:31,329 - pyskl - INFO - mean_acc 0.8637 2023-12-23 23:18:31,332 - pyskl - INFO - Epoch(val) [104][533] top1_acc: 0.8971, top5_acc: 0.9934, mean_class_accuracy: 0.8637 2023-12-23 23:19:31,589 - pyskl - INFO - Epoch [105][100/1281] lr: 5.349e-03, eta: 6:52:33, time: 0.603, data_time: 0.176, memory: 4130, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.8915, loss: 1.8915 2023-12-23 23:20:14,313 - pyskl - INFO - Epoch [105][200/1281] lr: 5.333e-03, eta: 6:51:52, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.8961, loss: 1.8961 2023-12-23 23:20:56,876 - pyskl - INFO - Epoch [105][300/1281] lr: 5.316e-03, eta: 6:51:10, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.8752, loss: 1.8752 2023-12-23 23:21:39,488 - pyskl - INFO - Epoch [105][400/1281] lr: 5.299e-03, eta: 6:50:28, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9116, loss: 1.9116 2023-12-23 23:22:21,955 - pyskl - INFO - Epoch [105][500/1281] lr: 5.283e-03, eta: 6:49:46, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.8968, loss: 1.8968 2023-12-23 23:23:03,667 - pyskl - INFO - Epoch [105][600/1281] lr: 5.266e-03, eta: 6:49:04, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.9228, loss: 1.9228 2023-12-23 23:23:45,377 - pyskl - INFO - Epoch [105][700/1281] lr: 5.249e-03, eta: 6:48:21, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.9142, loss: 1.9142 2023-12-23 23:24:27,090 - pyskl - INFO - Epoch [105][800/1281] lr: 5.233e-03, eta: 6:47:39, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9165, loss: 1.9165 2023-12-23 23:25:08,867 - pyskl - INFO - Epoch [105][900/1281] lr: 5.216e-03, eta: 6:46:57, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.9098, loss: 1.9098 2023-12-23 23:25:50,586 - pyskl - INFO - Epoch [105][1000/1281] lr: 5.199e-03, eta: 6:46:15, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.9227, loss: 1.9227 2023-12-23 23:26:32,184 - pyskl - INFO - Epoch [105][1100/1281] lr: 5.183e-03, eta: 6:45:32, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9234, loss: 1.9234 2023-12-23 23:27:13,782 - pyskl - INFO - Epoch [105][1200/1281] lr: 5.166e-03, eta: 6:44:50, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8946, loss: 1.8946 2023-12-23 23:27:34,534 - pyskl - INFO - Saving checkpoint at 105 epochs 2023-12-23 23:28:32,624 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:28:32,691 - pyskl - INFO - top1_acc 0.8843 top5_acc 0.9940 2023-12-23 23:28:32,691 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:28:32,699 - pyskl - INFO - mean_acc 0.8411 2023-12-23 23:28:32,701 - pyskl - INFO - Epoch(val) [105][533] top1_acc: 0.8843, top5_acc: 0.9940, mean_class_accuracy: 0.8411 2023-12-23 23:29:31,684 - pyskl - INFO - Epoch [106][100/1281] lr: 5.136e-03, eta: 6:43:27, time: 0.590, data_time: 0.171, memory: 4130, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.9163, loss: 1.9163 2023-12-23 23:30:13,354 - pyskl - INFO - Epoch [106][200/1281] lr: 5.120e-03, eta: 6:42:44, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.8846, loss: 1.8846 2023-12-23 23:30:55,078 - pyskl - INFO - Epoch [106][300/1281] lr: 5.103e-03, eta: 6:42:02, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.8857, loss: 1.8857 2023-12-23 23:31:36,788 - pyskl - INFO - Epoch [106][400/1281] lr: 5.087e-03, eta: 6:41:20, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.9196, loss: 1.9196 2023-12-23 23:32:18,401 - pyskl - INFO - Epoch [106][500/1281] lr: 5.070e-03, eta: 6:40:38, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8892, loss: 1.8892 2023-12-23 23:33:00,106 - pyskl - INFO - Epoch [106][600/1281] lr: 5.054e-03, eta: 6:39:56, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9081, loss: 1.9081 2023-12-23 23:33:41,881 - pyskl - INFO - Epoch [106][700/1281] lr: 5.038e-03, eta: 6:39:13, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.8963, loss: 1.8963 2023-12-23 23:34:23,607 - pyskl - INFO - Epoch [106][800/1281] lr: 5.021e-03, eta: 6:38:31, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.9102, loss: 1.9102 2023-12-23 23:35:05,380 - pyskl - INFO - Epoch [106][900/1281] lr: 5.005e-03, eta: 6:37:49, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.9073, loss: 1.9073 2023-12-23 23:35:47,137 - pyskl - INFO - Epoch [106][1000/1281] lr: 4.988e-03, eta: 6:37:07, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9169, loss: 1.9169 2023-12-23 23:36:28,778 - pyskl - INFO - Epoch [106][1100/1281] lr: 4.972e-03, eta: 6:36:25, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.9122, loss: 1.9122 2023-12-23 23:37:10,534 - pyskl - INFO - Epoch [106][1200/1281] lr: 4.956e-03, eta: 6:35:42, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.9001, loss: 1.9001 2023-12-23 23:37:31,151 - pyskl - INFO - Saving checkpoint at 106 epochs 2023-12-23 23:38:28,823 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:38:28,891 - pyskl - INFO - top1_acc 0.8970 top5_acc 0.9939 2023-12-23 23:38:28,891 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:38:28,899 - pyskl - INFO - mean_acc 0.8603 2023-12-23 23:38:28,902 - pyskl - INFO - Epoch(val) [106][533] top1_acc: 0.8970, top5_acc: 0.9939, mean_class_accuracy: 0.8603 2023-12-23 23:39:27,687 - pyskl - INFO - Epoch [107][100/1281] lr: 4.926e-03, eta: 6:34:19, time: 0.588, data_time: 0.169, memory: 4130, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.8954, loss: 1.8954 2023-12-23 23:40:09,466 - pyskl - INFO - Epoch [107][200/1281] lr: 4.910e-03, eta: 6:33:37, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8945, loss: 1.8945 2023-12-23 23:40:51,264 - pyskl - INFO - Epoch [107][300/1281] lr: 4.894e-03, eta: 6:32:55, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.8981, loss: 1.8981 2023-12-23 23:41:32,998 - pyskl - INFO - Epoch [107][400/1281] lr: 4.878e-03, eta: 6:32:13, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8892, loss: 1.8892 2023-12-23 23:42:14,797 - pyskl - INFO - Epoch [107][500/1281] lr: 4.862e-03, eta: 6:31:30, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.8769, loss: 1.8769 2023-12-23 23:42:56,510 - pyskl - INFO - Epoch [107][600/1281] lr: 4.845e-03, eta: 6:30:48, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.8866, loss: 1.8866 2023-12-23 23:43:38,252 - pyskl - INFO - Epoch [107][700/1281] lr: 4.829e-03, eta: 6:30:06, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.8991, loss: 1.8991 2023-12-23 23:44:19,970 - pyskl - INFO - Epoch [107][800/1281] lr: 4.813e-03, eta: 6:29:24, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8856, loss: 1.8856 2023-12-23 23:45:01,574 - pyskl - INFO - Epoch [107][900/1281] lr: 4.797e-03, eta: 6:28:42, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.8780, loss: 1.8780 2023-12-23 23:45:43,296 - pyskl - INFO - Epoch [107][1000/1281] lr: 4.781e-03, eta: 6:27:59, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8899, loss: 1.8899 2023-12-23 23:46:25,092 - pyskl - INFO - Epoch [107][1100/1281] lr: 4.765e-03, eta: 6:27:17, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.9014, loss: 1.9014 2023-12-23 23:47:06,731 - pyskl - INFO - Epoch [107][1200/1281] lr: 4.749e-03, eta: 6:26:35, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.8967, loss: 1.8967 2023-12-23 23:47:27,118 - pyskl - INFO - Saving checkpoint at 107 epochs 2023-12-23 23:48:24,265 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:48:24,332 - pyskl - INFO - top1_acc 0.9144 top5_acc 0.9948 2023-12-23 23:48:24,333 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:48:24,343 - pyskl - INFO - mean_acc 0.8772 2023-12-23 23:48:24,349 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_101.pth was removed 2023-12-23 23:48:24,584 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. 2023-12-23 23:48:24,585 - pyskl - INFO - Best top1_acc is 0.9144 at 107 epoch. 2023-12-23 23:48:24,588 - pyskl - INFO - Epoch(val) [107][533] top1_acc: 0.9144, top5_acc: 0.9948, mean_class_accuracy: 0.8772 2023-12-23 23:49:23,849 - pyskl - INFO - Epoch [108][100/1281] lr: 4.720e-03, eta: 6:25:12, time: 0.593, data_time: 0.176, memory: 4130, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.8853, loss: 1.8853 2023-12-23 23:50:05,634 - pyskl - INFO - Epoch [108][200/1281] lr: 4.704e-03, eta: 6:24:30, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8742, loss: 1.8742 2023-12-23 23:50:47,386 - pyskl - INFO - Epoch [108][300/1281] lr: 4.688e-03, eta: 6:23:48, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.8911, loss: 1.8911 2023-12-23 23:51:29,038 - pyskl - INFO - Epoch [108][400/1281] lr: 4.672e-03, eta: 6:23:06, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.9015, loss: 1.9015 2023-12-23 23:52:10,678 - pyskl - INFO - Epoch [108][500/1281] lr: 4.656e-03, eta: 6:22:23, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.9032, loss: 1.9032 2023-12-23 23:52:52,470 - pyskl - INFO - Epoch [108][600/1281] lr: 4.640e-03, eta: 6:21:41, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.8864, loss: 1.8864 2023-12-23 23:53:34,233 - pyskl - INFO - Epoch [108][700/1281] lr: 4.624e-03, eta: 6:20:59, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.8904, loss: 1.8904 2023-12-23 23:54:15,943 - pyskl - INFO - Epoch [108][800/1281] lr: 4.608e-03, eta: 6:20:17, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8788, loss: 1.8788 2023-12-23 23:54:57,606 - pyskl - INFO - Epoch [108][900/1281] lr: 4.593e-03, eta: 6:19:35, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8916, loss: 1.8916 2023-12-23 23:55:39,303 - pyskl - INFO - Epoch [108][1000/1281] lr: 4.577e-03, eta: 6:18:53, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.9032, loss: 1.9032 2023-12-23 23:56:21,110 - pyskl - INFO - Epoch [108][1100/1281] lr: 4.561e-03, eta: 6:18:11, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.8985, loss: 1.8985 2023-12-23 23:57:02,861 - pyskl - INFO - Epoch [108][1200/1281] lr: 4.545e-03, eta: 6:17:28, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.9037, loss: 1.9037 2023-12-23 23:57:22,505 - pyskl - INFO - Saving checkpoint at 108 epochs 2023-12-23 23:58:19,767 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-23 23:58:19,822 - pyskl - INFO - top1_acc 0.9096 top5_acc 0.9940 2023-12-23 23:58:19,823 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-23 23:58:19,830 - pyskl - INFO - mean_acc 0.8797 2023-12-23 23:58:19,832 - pyskl - INFO - Epoch(val) [108][533] top1_acc: 0.9096, top5_acc: 0.9940, mean_class_accuracy: 0.8797 2023-12-23 23:59:18,322 - pyskl - INFO - Epoch [109][100/1281] lr: 4.517e-03, eta: 6:16:06, time: 0.585, data_time: 0.167, memory: 4130, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.8842, loss: 1.8842 2023-12-24 00:00:00,065 - pyskl - INFO - Epoch [109][200/1281] lr: 4.501e-03, eta: 6:15:23, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8792, loss: 1.8792 2023-12-24 00:00:41,705 - pyskl - INFO - Epoch [109][300/1281] lr: 4.485e-03, eta: 6:14:41, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.8764, loss: 1.8764 2023-12-24 00:01:23,446 - pyskl - INFO - Epoch [109][400/1281] lr: 4.470e-03, eta: 6:13:59, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.9022, loss: 1.9022 2023-12-24 00:02:05,141 - pyskl - INFO - Epoch [109][500/1281] lr: 4.454e-03, eta: 6:13:17, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8729, loss: 1.8729 2023-12-24 00:02:46,833 - pyskl - INFO - Epoch [109][600/1281] lr: 4.438e-03, eta: 6:12:35, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.8819, loss: 1.8819 2023-12-24 00:03:28,596 - pyskl - INFO - Epoch [109][700/1281] lr: 4.423e-03, eta: 6:11:53, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8840, loss: 1.8840 2023-12-24 00:04:10,239 - pyskl - INFO - Epoch [109][800/1281] lr: 4.407e-03, eta: 6:11:11, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.8897, loss: 1.8897 2023-12-24 00:04:52,005 - pyskl - INFO - Epoch [109][900/1281] lr: 4.391e-03, eta: 6:10:28, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.8867, loss: 1.8867 2023-12-24 00:05:33,768 - pyskl - INFO - Epoch [109][1000/1281] lr: 4.376e-03, eta: 6:09:46, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.8780, loss: 1.8780 2023-12-24 00:06:15,480 - pyskl - INFO - Epoch [109][1100/1281] lr: 4.360e-03, eta: 6:09:04, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.8873, loss: 1.8873 2023-12-24 00:06:58,172 - pyskl - INFO - Epoch [109][1200/1281] lr: 4.345e-03, eta: 6:08:22, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.8798, loss: 1.8798 2023-12-24 00:07:18,688 - pyskl - INFO - Saving checkpoint at 109 epochs 2023-12-24 00:08:16,308 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:08:16,362 - pyskl - INFO - top1_acc 0.9127 top5_acc 0.9947 2023-12-24 00:08:16,363 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:08:16,369 - pyskl - INFO - mean_acc 0.8885 2023-12-24 00:08:16,371 - pyskl - INFO - Epoch(val) [109][533] top1_acc: 0.9127, top5_acc: 0.9947, mean_class_accuracy: 0.8885 2023-12-24 00:09:14,855 - pyskl - INFO - Epoch [110][100/1281] lr: 4.317e-03, eta: 6:07:00, time: 0.585, data_time: 0.168, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.9045, loss: 1.9045 2023-12-24 00:09:56,560 - pyskl - INFO - Epoch [110][200/1281] lr: 4.301e-03, eta: 6:06:18, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8912, loss: 1.8912 2023-12-24 00:10:38,350 - pyskl - INFO - Epoch [110][300/1281] lr: 4.286e-03, eta: 6:05:36, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8690, loss: 1.8690 2023-12-24 00:11:20,026 - pyskl - INFO - Epoch [110][400/1281] lr: 4.271e-03, eta: 6:04:53, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.8902, loss: 1.8902 2023-12-24 00:12:01,843 - pyskl - INFO - Epoch [110][500/1281] lr: 4.255e-03, eta: 6:04:11, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8800, loss: 1.8800 2023-12-24 00:12:43,544 - pyskl - INFO - Epoch [110][600/1281] lr: 4.240e-03, eta: 6:03:29, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.8904, loss: 1.8904 2023-12-24 00:13:25,192 - pyskl - INFO - Epoch [110][700/1281] lr: 4.225e-03, eta: 6:02:47, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8928, loss: 1.8928 2023-12-24 00:14:06,893 - pyskl - INFO - Epoch [110][800/1281] lr: 4.209e-03, eta: 6:02:05, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.8896, loss: 1.8896 2023-12-24 00:14:48,641 - pyskl - INFO - Epoch [110][900/1281] lr: 4.194e-03, eta: 6:01:23, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8784, loss: 1.8784 2023-12-24 00:15:30,344 - pyskl - INFO - Epoch [110][1000/1281] lr: 4.179e-03, eta: 6:00:41, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.9025, loss: 1.9025 2023-12-24 00:16:12,120 - pyskl - INFO - Epoch [110][1100/1281] lr: 4.164e-03, eta: 5:59:59, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.8960, loss: 1.8960 2023-12-24 00:16:54,635 - pyskl - INFO - Epoch [110][1200/1281] lr: 4.148e-03, eta: 5:59:17, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8904, loss: 1.8904 2023-12-24 00:17:14,530 - pyskl - INFO - Saving checkpoint at 110 epochs 2023-12-24 00:18:11,995 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:18:12,050 - pyskl - INFO - top1_acc 0.9121 top5_acc 0.9951 2023-12-24 00:18:12,050 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:18:12,058 - pyskl - INFO - mean_acc 0.8805 2023-12-24 00:18:12,060 - pyskl - INFO - Epoch(val) [110][533] top1_acc: 0.9121, top5_acc: 0.9951, mean_class_accuracy: 0.8805 2023-12-24 00:19:10,950 - pyskl - INFO - Epoch [111][100/1281] lr: 4.121e-03, eta: 5:57:55, time: 0.589, data_time: 0.172, memory: 4130, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.8938, loss: 1.8938 2023-12-24 00:19:53,540 - pyskl - INFO - Epoch [111][200/1281] lr: 4.106e-03, eta: 5:57:13, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8956, loss: 1.8956 2023-12-24 00:20:36,211 - pyskl - INFO - Epoch [111][300/1281] lr: 4.091e-03, eta: 5:56:31, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.8911, loss: 1.8911 2023-12-24 00:21:18,850 - pyskl - INFO - Epoch [111][400/1281] lr: 4.075e-03, eta: 5:55:49, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8708, loss: 1.8708 2023-12-24 00:22:01,542 - pyskl - INFO - Epoch [111][500/1281] lr: 4.060e-03, eta: 5:55:08, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8752, loss: 1.8752 2023-12-24 00:22:44,106 - pyskl - INFO - Epoch [111][600/1281] lr: 4.045e-03, eta: 5:54:26, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.8977, loss: 1.8977 2023-12-24 00:23:26,785 - pyskl - INFO - Epoch [111][700/1281] lr: 4.030e-03, eta: 5:53:44, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8961, loss: 1.8961 2023-12-24 00:24:09,445 - pyskl - INFO - Epoch [111][800/1281] lr: 4.015e-03, eta: 5:53:02, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.8813, loss: 1.8813 2023-12-24 00:24:52,044 - pyskl - INFO - Epoch [111][900/1281] lr: 4.000e-03, eta: 5:52:20, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8911, loss: 1.8911 2023-12-24 00:25:34,672 - pyskl - INFO - Epoch [111][1000/1281] lr: 3.985e-03, eta: 5:51:39, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.8923, loss: 1.8923 2023-12-24 00:26:17,282 - pyskl - INFO - Epoch [111][1100/1281] lr: 3.970e-03, eta: 5:50:57, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.9035, loss: 1.9035 2023-12-24 00:26:59,882 - pyskl - INFO - Epoch [111][1200/1281] lr: 3.955e-03, eta: 5:50:15, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.9066, loss: 1.9066 2023-12-24 00:27:18,954 - pyskl - INFO - Saving checkpoint at 111 epochs 2023-12-24 00:28:15,500 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:28:15,554 - pyskl - INFO - top1_acc 0.9147 top5_acc 0.9952 2023-12-24 00:28:15,554 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:28:15,561 - pyskl - INFO - mean_acc 0.8829 2023-12-24 00:28:15,565 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_107.pth was removed 2023-12-24 00:28:15,800 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. 2023-12-24 00:28:15,800 - pyskl - INFO - Best top1_acc is 0.9147 at 111 epoch. 2023-12-24 00:28:15,805 - pyskl - INFO - Epoch(val) [111][533] top1_acc: 0.9147, top5_acc: 0.9952, mean_class_accuracy: 0.8829 2023-12-24 00:29:15,290 - pyskl - INFO - Epoch [112][100/1281] lr: 3.928e-03, eta: 5:48:53, time: 0.595, data_time: 0.169, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8941, loss: 1.8941 2023-12-24 00:29:57,177 - pyskl - INFO - Epoch [112][200/1281] lr: 3.914e-03, eta: 5:48:11, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.8910, loss: 1.8910 2023-12-24 00:30:38,897 - pyskl - INFO - Epoch [112][300/1281] lr: 3.899e-03, eta: 5:47:29, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.8782, loss: 1.8782 2023-12-24 00:31:20,637 - pyskl - INFO - Epoch [112][400/1281] lr: 3.884e-03, eta: 5:46:47, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8833, loss: 1.8833 2023-12-24 00:32:02,399 - pyskl - INFO - Epoch [112][500/1281] lr: 3.869e-03, eta: 5:46:05, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8795, loss: 1.8795 2023-12-24 00:32:44,076 - pyskl - INFO - Epoch [112][600/1281] lr: 3.854e-03, eta: 5:45:23, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8636, loss: 1.8636 2023-12-24 00:33:25,812 - pyskl - INFO - Epoch [112][700/1281] lr: 3.840e-03, eta: 5:44:41, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.8702, loss: 1.8702 2023-12-24 00:34:07,526 - pyskl - INFO - Epoch [112][800/1281] lr: 3.825e-03, eta: 5:43:59, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8735, loss: 1.8735 2023-12-24 00:34:49,209 - pyskl - INFO - Epoch [112][900/1281] lr: 3.810e-03, eta: 5:43:17, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8839, loss: 1.8839 2023-12-24 00:35:31,029 - pyskl - INFO - Epoch [112][1000/1281] lr: 3.795e-03, eta: 5:42:35, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.8778, loss: 1.8778 2023-12-24 00:36:12,625 - pyskl - INFO - Epoch [112][1100/1281] lr: 3.781e-03, eta: 5:41:53, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.8748, loss: 1.8748 2023-12-24 00:36:54,292 - pyskl - INFO - Epoch [112][1200/1281] lr: 3.766e-03, eta: 5:41:11, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8637, loss: 1.8637 2023-12-24 00:37:14,087 - pyskl - INFO - Saving checkpoint at 112 epochs 2023-12-24 00:38:10,121 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:38:10,188 - pyskl - INFO - top1_acc 0.9243 top5_acc 0.9957 2023-12-24 00:38:10,188 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:38:10,197 - pyskl - INFO - mean_acc 0.8968 2023-12-24 00:38:10,202 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_111.pth was removed 2023-12-24 00:38:10,422 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. 2023-12-24 00:38:10,422 - pyskl - INFO - Best top1_acc is 0.9243 at 112 epoch. 2023-12-24 00:38:10,425 - pyskl - INFO - Epoch(val) [112][533] top1_acc: 0.9243, top5_acc: 0.9957, mean_class_accuracy: 0.8968 2023-12-24 00:39:09,307 - pyskl - INFO - Epoch [113][100/1281] lr: 3.740e-03, eta: 5:39:49, time: 0.589, data_time: 0.172, memory: 4130, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.8604, loss: 1.8604 2023-12-24 00:39:51,134 - pyskl - INFO - Epoch [113][200/1281] lr: 3.725e-03, eta: 5:39:07, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.8724, loss: 1.8724 2023-12-24 00:40:32,907 - pyskl - INFO - Epoch [113][300/1281] lr: 3.711e-03, eta: 5:38:25, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.8689, loss: 1.8689 2023-12-24 00:41:14,602 - pyskl - INFO - Epoch [113][400/1281] lr: 3.696e-03, eta: 5:37:43, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.8692, loss: 1.8692 2023-12-24 00:41:56,354 - pyskl - INFO - Epoch [113][500/1281] lr: 3.682e-03, eta: 5:37:01, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8595, loss: 1.8595 2023-12-24 00:42:38,034 - pyskl - INFO - Epoch [113][600/1281] lr: 3.667e-03, eta: 5:36:18, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8608, loss: 1.8608 2023-12-24 00:43:19,743 - pyskl - INFO - Epoch [113][700/1281] lr: 3.653e-03, eta: 5:35:36, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8589, loss: 1.8589 2023-12-24 00:44:01,383 - pyskl - INFO - Epoch [113][800/1281] lr: 3.638e-03, eta: 5:34:54, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.8679, loss: 1.8679 2023-12-24 00:44:43,186 - pyskl - INFO - Epoch [113][900/1281] lr: 3.624e-03, eta: 5:34:12, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8828, loss: 1.8828 2023-12-24 00:45:25,008 - pyskl - INFO - Epoch [113][1000/1281] lr: 3.610e-03, eta: 5:33:30, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.8761, loss: 1.8761 2023-12-24 00:46:06,727 - pyskl - INFO - Epoch [113][1100/1281] lr: 3.595e-03, eta: 5:32:48, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.8866, loss: 1.8866 2023-12-24 00:46:48,440 - pyskl - INFO - Epoch [113][1200/1281] lr: 3.581e-03, eta: 5:32:06, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8781, loss: 1.8781 2023-12-24 00:47:07,566 - pyskl - INFO - Saving checkpoint at 113 epochs 2023-12-24 00:48:03,946 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:48:04,003 - pyskl - INFO - top1_acc 0.9061 top5_acc 0.9937 2023-12-24 00:48:04,003 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:48:04,011 - pyskl - INFO - mean_acc 0.8722 2023-12-24 00:48:04,013 - pyskl - INFO - Epoch(val) [113][533] top1_acc: 0.9061, top5_acc: 0.9937, mean_class_accuracy: 0.8722 2023-12-24 00:49:03,829 - pyskl - INFO - Epoch [114][100/1281] lr: 3.555e-03, eta: 5:30:45, time: 0.598, data_time: 0.172, memory: 4130, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.8899, loss: 1.8899 2023-12-24 00:49:46,403 - pyskl - INFO - Epoch [114][200/1281] lr: 3.541e-03, eta: 5:30:03, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.8676, loss: 1.8676 2023-12-24 00:50:28,998 - pyskl - INFO - Epoch [114][300/1281] lr: 3.526e-03, eta: 5:29:21, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8675, loss: 1.8675 2023-12-24 00:51:11,599 - pyskl - INFO - Epoch [114][400/1281] lr: 3.512e-03, eta: 5:28:40, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8759, loss: 1.8759 2023-12-24 00:51:54,302 - pyskl - INFO - Epoch [114][500/1281] lr: 3.498e-03, eta: 5:27:58, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8640, loss: 1.8640 2023-12-24 00:52:36,842 - pyskl - INFO - Epoch [114][600/1281] lr: 3.484e-03, eta: 5:27:16, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8791, loss: 1.8791 2023-12-24 00:53:19,412 - pyskl - INFO - Epoch [114][700/1281] lr: 3.470e-03, eta: 5:26:34, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8814, loss: 1.8814 2023-12-24 00:54:01,983 - pyskl - INFO - Epoch [114][800/1281] lr: 3.456e-03, eta: 5:25:53, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8738, loss: 1.8738 2023-12-24 00:54:43,855 - pyskl - INFO - Epoch [114][900/1281] lr: 3.442e-03, eta: 5:25:11, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.8749, loss: 1.8749 2023-12-24 00:55:25,574 - pyskl - INFO - Epoch [114][1000/1281] lr: 3.427e-03, eta: 5:24:29, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.8735, loss: 1.8735 2023-12-24 00:56:07,235 - pyskl - INFO - Epoch [114][1100/1281] lr: 3.413e-03, eta: 5:23:47, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.8878, loss: 1.8878 2023-12-24 00:56:49,002 - pyskl - INFO - Epoch [114][1200/1281] lr: 3.399e-03, eta: 5:23:05, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8837, loss: 1.8837 2023-12-24 00:57:08,093 - pyskl - INFO - Saving checkpoint at 114 epochs 2023-12-24 00:58:04,498 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 00:58:04,553 - pyskl - INFO - top1_acc 0.9122 top5_acc 0.9948 2023-12-24 00:58:04,553 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 00:58:04,560 - pyskl - INFO - mean_acc 0.8791 2023-12-24 00:58:04,562 - pyskl - INFO - Epoch(val) [114][533] top1_acc: 0.9122, top5_acc: 0.9948, mean_class_accuracy: 0.8791 2023-12-24 00:59:03,519 - pyskl - INFO - Epoch [115][100/1281] lr: 3.374e-03, eta: 5:21:43, time: 0.590, data_time: 0.172, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8706, loss: 1.8706 2023-12-24 00:59:45,260 - pyskl - INFO - Epoch [115][200/1281] lr: 3.360e-03, eta: 5:21:01, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.8770, loss: 1.8770 2023-12-24 01:00:26,999 - pyskl - INFO - Epoch [115][300/1281] lr: 3.346e-03, eta: 5:20:19, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.8907, loss: 1.8907 2023-12-24 01:01:08,678 - pyskl - INFO - Epoch [115][400/1281] lr: 3.332e-03, eta: 5:19:37, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8667, loss: 1.8667 2023-12-24 01:01:50,374 - pyskl - INFO - Epoch [115][500/1281] lr: 3.318e-03, eta: 5:18:55, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.8885, loss: 1.8885 2023-12-24 01:02:32,110 - pyskl - INFO - Epoch [115][600/1281] lr: 3.305e-03, eta: 5:18:13, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8797, loss: 1.8797 2023-12-24 01:03:13,726 - pyskl - INFO - Epoch [115][700/1281] lr: 3.291e-03, eta: 5:17:31, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.8696, loss: 1.8696 2023-12-24 01:03:55,391 - pyskl - INFO - Epoch [115][800/1281] lr: 3.277e-03, eta: 5:16:49, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.8755, loss: 1.8755 2023-12-24 01:04:37,112 - pyskl - INFO - Epoch [115][900/1281] lr: 3.263e-03, eta: 5:16:07, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8797, loss: 1.8797 2023-12-24 01:05:18,770 - pyskl - INFO - Epoch [115][1000/1281] lr: 3.249e-03, eta: 5:15:25, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8700, loss: 1.8700 2023-12-24 01:06:00,456 - pyskl - INFO - Epoch [115][1100/1281] lr: 3.236e-03, eta: 5:14:43, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8653, loss: 1.8653 2023-12-24 01:06:42,191 - pyskl - INFO - Epoch [115][1200/1281] lr: 3.222e-03, eta: 5:14:01, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8723, loss: 1.8723 2023-12-24 01:07:01,060 - pyskl - INFO - Saving checkpoint at 115 epochs 2023-12-24 01:07:56,718 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:07:56,795 - pyskl - INFO - top1_acc 0.9224 top5_acc 0.9952 2023-12-24 01:07:56,796 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:07:56,807 - pyskl - INFO - mean_acc 0.8957 2023-12-24 01:07:56,811 - pyskl - INFO - Epoch(val) [115][533] top1_acc: 0.9224, top5_acc: 0.9952, mean_class_accuracy: 0.8957 2023-12-24 01:08:57,021 - pyskl - INFO - Epoch [116][100/1281] lr: 3.197e-03, eta: 5:12:40, time: 0.602, data_time: 0.176, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8694, loss: 1.8694 2023-12-24 01:09:39,549 - pyskl - INFO - Epoch [116][200/1281] lr: 3.184e-03, eta: 5:11:58, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.8715, loss: 1.8715 2023-12-24 01:10:22,217 - pyskl - INFO - Epoch [116][300/1281] lr: 3.170e-03, eta: 5:11:17, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8638, loss: 1.8638 2023-12-24 01:11:04,826 - pyskl - INFO - Epoch [116][400/1281] lr: 3.156e-03, eta: 5:10:35, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8649, loss: 1.8649 2023-12-24 01:11:47,408 - pyskl - INFO - Epoch [116][500/1281] lr: 3.143e-03, eta: 5:09:53, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8582, loss: 1.8582 2023-12-24 01:12:30,009 - pyskl - INFO - Epoch [116][600/1281] lr: 3.129e-03, eta: 5:09:12, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8616, loss: 1.8616 2023-12-24 01:13:12,669 - pyskl - INFO - Epoch [116][700/1281] lr: 3.116e-03, eta: 5:08:30, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8644, loss: 1.8644 2023-12-24 01:13:55,188 - pyskl - INFO - Epoch [116][800/1281] lr: 3.102e-03, eta: 5:07:48, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8606, loss: 1.8606 2023-12-24 01:14:36,896 - pyskl - INFO - Epoch [116][900/1281] lr: 3.089e-03, eta: 5:07:06, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8685, loss: 1.8685 2023-12-24 01:15:18,801 - pyskl - INFO - Epoch [116][1000/1281] lr: 3.075e-03, eta: 5:06:24, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8636, loss: 1.8636 2023-12-24 01:16:00,554 - pyskl - INFO - Epoch [116][1100/1281] lr: 3.062e-03, eta: 5:05:42, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8623, loss: 1.8623 2023-12-24 01:16:42,261 - pyskl - INFO - Epoch [116][1200/1281] lr: 3.049e-03, eta: 5:05:00, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8638, loss: 1.8638 2023-12-24 01:17:00,648 - pyskl - INFO - Saving checkpoint at 116 epochs 2023-12-24 01:17:55,593 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:17:55,647 - pyskl - INFO - top1_acc 0.9271 top5_acc 0.9950 2023-12-24 01:17:55,647 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:17:55,654 - pyskl - INFO - mean_acc 0.9011 2023-12-24 01:17:55,658 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_112.pth was removed 2023-12-24 01:17:55,860 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. 2023-12-24 01:17:55,860 - pyskl - INFO - Best top1_acc is 0.9271 at 116 epoch. 2023-12-24 01:17:55,863 - pyskl - INFO - Epoch(val) [116][533] top1_acc: 0.9271, top5_acc: 0.9950, mean_class_accuracy: 0.9011 2023-12-24 01:18:55,058 - pyskl - INFO - Epoch [117][100/1281] lr: 3.024e-03, eta: 5:03:39, time: 0.592, data_time: 0.174, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8585, loss: 1.8585 2023-12-24 01:19:36,802 - pyskl - INFO - Epoch [117][200/1281] lr: 3.011e-03, eta: 5:02:57, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8598, loss: 1.8598 2023-12-24 01:20:18,488 - pyskl - INFO - Epoch [117][300/1281] lr: 2.998e-03, eta: 5:02:15, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8555, loss: 1.8555 2023-12-24 01:21:00,228 - pyskl - INFO - Epoch [117][400/1281] lr: 2.984e-03, eta: 5:01:33, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8612, loss: 1.8612 2023-12-24 01:21:41,921 - pyskl - INFO - Epoch [117][500/1281] lr: 2.971e-03, eta: 5:00:51, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8644, loss: 1.8644 2023-12-24 01:22:23,607 - pyskl - INFO - Epoch [117][600/1281] lr: 2.958e-03, eta: 5:00:09, time: 0.417, data_time: 0.001, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8634, loss: 1.8634 2023-12-24 01:23:05,315 - pyskl - INFO - Epoch [117][700/1281] lr: 2.945e-03, eta: 4:59:27, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8622, loss: 1.8622 2023-12-24 01:23:47,143 - pyskl - INFO - Epoch [117][800/1281] lr: 2.932e-03, eta: 4:58:45, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8790, loss: 1.8790 2023-12-24 01:24:28,883 - pyskl - INFO - Epoch [117][900/1281] lr: 2.919e-03, eta: 4:58:03, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.8668, loss: 1.8668 2023-12-24 01:25:10,595 - pyskl - INFO - Epoch [117][1000/1281] lr: 2.905e-03, eta: 4:57:21, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8705, loss: 1.8705 2023-12-24 01:25:52,371 - pyskl - INFO - Epoch [117][1100/1281] lr: 2.892e-03, eta: 4:56:39, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8634, loss: 1.8634 2023-12-24 01:26:33,824 - pyskl - INFO - Epoch [117][1200/1281] lr: 2.879e-03, eta: 4:55:57, time: 0.415, data_time: 0.000, memory: 4130, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.8784, loss: 1.8784 2023-12-24 01:26:51,533 - pyskl - INFO - Saving checkpoint at 117 epochs 2023-12-24 01:27:45,891 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:27:45,958 - pyskl - INFO - top1_acc 0.9181 top5_acc 0.9955 2023-12-24 01:27:45,958 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:27:45,965 - pyskl - INFO - mean_acc 0.8900 2023-12-24 01:27:45,967 - pyskl - INFO - Epoch(val) [117][533] top1_acc: 0.9181, top5_acc: 0.9955, mean_class_accuracy: 0.8900 2023-12-24 01:28:45,551 - pyskl - INFO - Epoch [118][100/1281] lr: 2.856e-03, eta: 4:54:37, time: 0.596, data_time: 0.170, memory: 4130, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.8754, loss: 1.8754 2023-12-24 01:29:27,576 - pyskl - INFO - Epoch [118][200/1281] lr: 2.843e-03, eta: 4:53:55, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.8808, loss: 1.8808 2023-12-24 01:30:09,287 - pyskl - INFO - Epoch [118][300/1281] lr: 2.830e-03, eta: 4:53:13, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.8806, loss: 1.8806 2023-12-24 01:30:51,032 - pyskl - INFO - Epoch [118][400/1281] lr: 2.817e-03, eta: 4:52:31, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.8822, loss: 1.8822 2023-12-24 01:31:32,752 - pyskl - INFO - Epoch [118][500/1281] lr: 2.804e-03, eta: 4:51:49, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8667, loss: 1.8667 2023-12-24 01:32:14,384 - pyskl - INFO - Epoch [118][600/1281] lr: 2.791e-03, eta: 4:51:07, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8654, loss: 1.8654 2023-12-24 01:32:56,178 - pyskl - INFO - Epoch [118][700/1281] lr: 2.778e-03, eta: 4:50:25, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.8668, loss: 1.8668 2023-12-24 01:33:37,873 - pyskl - INFO - Epoch [118][800/1281] lr: 2.765e-03, eta: 4:49:43, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.8683, loss: 1.8683 2023-12-24 01:34:19,706 - pyskl - INFO - Epoch [118][900/1281] lr: 2.753e-03, eta: 4:49:01, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8653, loss: 1.8653 2023-12-24 01:35:01,459 - pyskl - INFO - Epoch [118][1000/1281] lr: 2.740e-03, eta: 4:48:19, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8684, loss: 1.8684 2023-12-24 01:35:43,282 - pyskl - INFO - Epoch [118][1100/1281] lr: 2.727e-03, eta: 4:47:37, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8629, loss: 1.8629 2023-12-24 01:36:24,918 - pyskl - INFO - Epoch [118][1200/1281] lr: 2.714e-03, eta: 4:46:55, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8624, loss: 1.8624 2023-12-24 01:36:42,811 - pyskl - INFO - Saving checkpoint at 118 epochs 2023-12-24 01:37:37,014 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:37:37,078 - pyskl - INFO - top1_acc 0.9263 top5_acc 0.9957 2023-12-24 01:37:37,078 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:37:37,086 - pyskl - INFO - mean_acc 0.8987 2023-12-24 01:37:37,089 - pyskl - INFO - Epoch(val) [118][533] top1_acc: 0.9263, top5_acc: 0.9957, mean_class_accuracy: 0.8987 2023-12-24 01:38:35,470 - pyskl - INFO - Epoch [119][100/1281] lr: 2.691e-03, eta: 4:45:35, time: 0.584, data_time: 0.167, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8529, loss: 1.8529 2023-12-24 01:39:17,246 - pyskl - INFO - Epoch [119][200/1281] lr: 2.679e-03, eta: 4:44:53, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.8721, loss: 1.8721 2023-12-24 01:39:58,948 - pyskl - INFO - Epoch [119][300/1281] lr: 2.666e-03, eta: 4:44:11, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8652, loss: 1.8652 2023-12-24 01:40:40,611 - pyskl - INFO - Epoch [119][400/1281] lr: 2.653e-03, eta: 4:43:29, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8592, loss: 1.8592 2023-12-24 01:41:22,389 - pyskl - INFO - Epoch [119][500/1281] lr: 2.641e-03, eta: 4:42:47, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8611, loss: 1.8611 2023-12-24 01:42:04,062 - pyskl - INFO - Epoch [119][600/1281] lr: 2.628e-03, eta: 4:42:05, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8545, loss: 1.8545 2023-12-24 01:42:45,762 - pyskl - INFO - Epoch [119][700/1281] lr: 2.616e-03, eta: 4:41:23, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8600, loss: 1.8600 2023-12-24 01:43:28,066 - pyskl - INFO - Epoch [119][800/1281] lr: 2.603e-03, eta: 4:40:41, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8587, loss: 1.8587 2023-12-24 01:44:10,488 - pyskl - INFO - Epoch [119][900/1281] lr: 2.591e-03, eta: 4:39:59, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8669, loss: 1.8669 2023-12-24 01:44:53,035 - pyskl - INFO - Epoch [119][1000/1281] lr: 2.578e-03, eta: 4:39:18, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8575, loss: 1.8575 2023-12-24 01:45:35,668 - pyskl - INFO - Epoch [119][1100/1281] lr: 2.566e-03, eta: 4:38:36, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8682, loss: 1.8682 2023-12-24 01:46:18,276 - pyskl - INFO - Epoch [119][1200/1281] lr: 2.554e-03, eta: 4:37:54, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8600, loss: 1.8600 2023-12-24 01:46:36,120 - pyskl - INFO - Saving checkpoint at 119 epochs 2023-12-24 01:47:30,736 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:47:30,797 - pyskl - INFO - top1_acc 0.9281 top5_acc 0.9960 2023-12-24 01:47:30,798 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:47:30,804 - pyskl - INFO - mean_acc 0.8998 2023-12-24 01:47:30,809 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_116.pth was removed 2023-12-24 01:47:31,043 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. 2023-12-24 01:47:31,044 - pyskl - INFO - Best top1_acc is 0.9281 at 119 epoch. 2023-12-24 01:47:31,047 - pyskl - INFO - Epoch(val) [119][533] top1_acc: 0.9281, top5_acc: 0.9960, mean_class_accuracy: 0.8998 2023-12-24 01:48:29,618 - pyskl - INFO - Epoch [120][100/1281] lr: 2.531e-03, eta: 4:36:34, time: 0.586, data_time: 0.170, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8607, loss: 1.8607 2023-12-24 01:49:11,362 - pyskl - INFO - Epoch [120][200/1281] lr: 2.519e-03, eta: 4:35:52, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8570, loss: 1.8570 2023-12-24 01:49:53,049 - pyskl - INFO - Epoch [120][300/1281] lr: 2.507e-03, eta: 4:35:10, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8525, loss: 1.8525 2023-12-24 01:50:34,818 - pyskl - INFO - Epoch [120][400/1281] lr: 2.494e-03, eta: 4:34:28, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8676, loss: 1.8676 2023-12-24 01:51:16,521 - pyskl - INFO - Epoch [120][500/1281] lr: 2.482e-03, eta: 4:33:46, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8630, loss: 1.8630 2023-12-24 01:51:58,242 - pyskl - INFO - Epoch [120][600/1281] lr: 2.470e-03, eta: 4:33:04, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8546, loss: 1.8546 2023-12-24 01:52:39,980 - pyskl - INFO - Epoch [120][700/1281] lr: 2.458e-03, eta: 4:32:22, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8527, loss: 1.8527 2023-12-24 01:53:21,624 - pyskl - INFO - Epoch [120][800/1281] lr: 2.446e-03, eta: 4:31:40, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8587, loss: 1.8587 2023-12-24 01:54:03,385 - pyskl - INFO - Epoch [120][900/1281] lr: 2.433e-03, eta: 4:30:58, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8581, loss: 1.8581 2023-12-24 01:54:45,312 - pyskl - INFO - Epoch [120][1000/1281] lr: 2.421e-03, eta: 4:30:17, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8564, loss: 1.8564 2023-12-24 01:55:27,896 - pyskl - INFO - Epoch [120][1100/1281] lr: 2.409e-03, eta: 4:29:35, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8574, loss: 1.8574 2023-12-24 01:56:10,447 - pyskl - INFO - Epoch [120][1200/1281] lr: 2.397e-03, eta: 4:28:53, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8503, loss: 1.8503 2023-12-24 01:56:28,624 - pyskl - INFO - Saving checkpoint at 120 epochs 2023-12-24 01:57:23,988 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 01:57:24,054 - pyskl - INFO - top1_acc 0.9297 top5_acc 0.9971 2023-12-24 01:57:24,054 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 01:57:24,062 - pyskl - INFO - mean_acc 0.9040 2023-12-24 01:57:24,067 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_119.pth was removed 2023-12-24 01:57:24,266 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. 2023-12-24 01:57:24,267 - pyskl - INFO - Best top1_acc is 0.9297 at 120 epoch. 2023-12-24 01:57:24,270 - pyskl - INFO - Epoch(val) [120][533] top1_acc: 0.9297, top5_acc: 0.9971, mean_class_accuracy: 0.9040 2023-12-24 01:58:22,889 - pyskl - INFO - Epoch [121][100/1281] lr: 2.375e-03, eta: 4:27:33, time: 0.586, data_time: 0.169, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8529, loss: 1.8529 2023-12-24 01:59:04,542 - pyskl - INFO - Epoch [121][200/1281] lr: 2.363e-03, eta: 4:26:51, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8577, loss: 1.8577 2023-12-24 01:59:46,265 - pyskl - INFO - Epoch [121][300/1281] lr: 2.351e-03, eta: 4:26:09, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8581, loss: 1.8581 2023-12-24 02:00:27,989 - pyskl - INFO - Epoch [121][400/1281] lr: 2.340e-03, eta: 4:25:27, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8542, loss: 1.8542 2023-12-24 02:01:09,659 - pyskl - INFO - Epoch [121][500/1281] lr: 2.328e-03, eta: 4:24:45, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8607, loss: 1.8607 2023-12-24 02:01:51,444 - pyskl - INFO - Epoch [121][600/1281] lr: 2.316e-03, eta: 4:24:03, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8537, loss: 1.8537 2023-12-24 02:02:33,116 - pyskl - INFO - Epoch [121][700/1281] lr: 2.304e-03, eta: 4:23:21, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8510, loss: 1.8510 2023-12-24 02:03:14,837 - pyskl - INFO - Epoch [121][800/1281] lr: 2.292e-03, eta: 4:22:40, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8512, loss: 1.8512 2023-12-24 02:03:56,637 - pyskl - INFO - Epoch [121][900/1281] lr: 2.280e-03, eta: 4:21:58, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8558, loss: 1.8558 2023-12-24 02:04:38,581 - pyskl - INFO - Epoch [121][1000/1281] lr: 2.269e-03, eta: 4:21:16, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8502, loss: 1.8502 2023-12-24 02:05:20,366 - pyskl - INFO - Epoch [121][1100/1281] lr: 2.257e-03, eta: 4:20:34, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8570, loss: 1.8570 2023-12-24 02:06:02,058 - pyskl - INFO - Epoch [121][1200/1281] lr: 2.245e-03, eta: 4:19:52, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8549, loss: 1.8549 2023-12-24 02:06:21,047 - pyskl - INFO - Saving checkpoint at 121 epochs 2023-12-24 02:07:17,064 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:07:17,118 - pyskl - INFO - top1_acc 0.9294 top5_acc 0.9964 2023-12-24 02:07:17,118 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:07:17,124 - pyskl - INFO - mean_acc 0.9010 2023-12-24 02:07:17,126 - pyskl - INFO - Epoch(val) [121][533] top1_acc: 0.9294, top5_acc: 0.9964, mean_class_accuracy: 0.9010 2023-12-24 02:08:17,324 - pyskl - INFO - Epoch [122][100/1281] lr: 2.224e-03, eta: 4:18:32, time: 0.602, data_time: 0.176, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8609, loss: 1.8609 2023-12-24 02:08:59,817 - pyskl - INFO - Epoch [122][200/1281] lr: 2.212e-03, eta: 4:17:51, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8525, loss: 1.8525 2023-12-24 02:09:42,430 - pyskl - INFO - Epoch [122][300/1281] lr: 2.201e-03, eta: 4:17:09, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8536, loss: 1.8536 2023-12-24 02:10:24,435 - pyskl - INFO - Epoch [122][400/1281] lr: 2.189e-03, eta: 4:16:27, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8532, loss: 1.8532 2023-12-24 02:11:06,229 - pyskl - INFO - Epoch [122][500/1281] lr: 2.178e-03, eta: 4:15:45, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8623, loss: 1.8623 2023-12-24 02:11:48,133 - pyskl - INFO - Epoch [122][600/1281] lr: 2.166e-03, eta: 4:15:03, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8606, loss: 1.8606 2023-12-24 02:12:29,911 - pyskl - INFO - Epoch [122][700/1281] lr: 2.155e-03, eta: 4:14:21, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8495, loss: 1.8495 2023-12-24 02:13:11,693 - pyskl - INFO - Epoch [122][800/1281] lr: 2.143e-03, eta: 4:13:40, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8513, loss: 1.8513 2023-12-24 02:13:53,512 - pyskl - INFO - Epoch [122][900/1281] lr: 2.132e-03, eta: 4:12:58, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8490, loss: 1.8490 2023-12-24 02:14:35,321 - pyskl - INFO - Epoch [122][1000/1281] lr: 2.120e-03, eta: 4:12:16, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8543, loss: 1.8543 2023-12-24 02:15:17,060 - pyskl - INFO - Epoch [122][1100/1281] lr: 2.109e-03, eta: 4:11:34, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8540, loss: 1.8540 2023-12-24 02:15:58,726 - pyskl - INFO - Epoch [122][1200/1281] lr: 2.098e-03, eta: 4:10:52, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.8639, loss: 1.8639 2023-12-24 02:16:16,798 - pyskl - INFO - Saving checkpoint at 122 epochs 2023-12-24 02:17:11,753 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:17:11,827 - pyskl - INFO - top1_acc 0.9278 top5_acc 0.9954 2023-12-24 02:17:11,828 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:17:11,839 - pyskl - INFO - mean_acc 0.9041 2023-12-24 02:17:11,841 - pyskl - INFO - Epoch(val) [122][533] top1_acc: 0.9278, top5_acc: 0.9954, mean_class_accuracy: 0.9041 2023-12-24 02:18:10,347 - pyskl - INFO - Epoch [123][100/1281] lr: 2.077e-03, eta: 4:09:32, time: 0.585, data_time: 0.169, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8499, loss: 1.8499 2023-12-24 02:18:52,030 - pyskl - INFO - Epoch [123][200/1281] lr: 2.066e-03, eta: 4:08:50, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8517, loss: 1.8517 2023-12-24 02:19:33,735 - pyskl - INFO - Epoch [123][300/1281] lr: 2.055e-03, eta: 4:08:08, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8494, loss: 1.8494 2023-12-24 02:20:15,564 - pyskl - INFO - Epoch [123][400/1281] lr: 2.044e-03, eta: 4:07:27, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8522, loss: 1.8522 2023-12-24 02:20:57,379 - pyskl - INFO - Epoch [123][500/1281] lr: 2.032e-03, eta: 4:06:45, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8625, loss: 1.8625 2023-12-24 02:21:39,071 - pyskl - INFO - Epoch [123][600/1281] lr: 2.021e-03, eta: 4:06:03, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8542, loss: 1.8542 2023-12-24 02:22:20,747 - pyskl - INFO - Epoch [123][700/1281] lr: 2.010e-03, eta: 4:05:21, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8545, loss: 1.8545 2023-12-24 02:23:02,435 - pyskl - INFO - Epoch [123][800/1281] lr: 1.999e-03, eta: 4:04:39, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8546, loss: 1.8546 2023-12-24 02:23:44,182 - pyskl - INFO - Epoch [123][900/1281] lr: 1.988e-03, eta: 4:03:57, time: 0.417, data_time: 0.001, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8549, loss: 1.8549 2023-12-24 02:24:25,924 - pyskl - INFO - Epoch [123][1000/1281] lr: 1.977e-03, eta: 4:03:15, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8538, loss: 1.8538 2023-12-24 02:25:07,610 - pyskl - INFO - Epoch [123][1100/1281] lr: 1.966e-03, eta: 4:02:33, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8540, loss: 1.8540 2023-12-24 02:25:49,368 - pyskl - INFO - Epoch [123][1200/1281] lr: 1.955e-03, eta: 4:01:51, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8514, loss: 1.8514 2023-12-24 02:26:08,456 - pyskl - INFO - Saving checkpoint at 123 epochs 2023-12-24 02:27:04,169 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:27:04,223 - pyskl - INFO - top1_acc 0.9285 top5_acc 0.9958 2023-12-24 02:27:04,223 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:27:04,229 - pyskl - INFO - mean_acc 0.9028 2023-12-24 02:27:04,230 - pyskl - INFO - Epoch(val) [123][533] top1_acc: 0.9285, top5_acc: 0.9958, mean_class_accuracy: 0.9028 2023-12-24 02:28:02,294 - pyskl - INFO - Epoch [124][100/1281] lr: 1.935e-03, eta: 4:00:32, time: 0.581, data_time: 0.164, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8637, loss: 1.8637 2023-12-24 02:28:43,975 - pyskl - INFO - Epoch [124][200/1281] lr: 1.924e-03, eta: 3:59:50, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8558, loss: 1.8558 2023-12-24 02:29:25,665 - pyskl - INFO - Epoch [124][300/1281] lr: 1.913e-03, eta: 3:59:08, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8610, loss: 1.8610 2023-12-24 02:30:08,259 - pyskl - INFO - Epoch [124][400/1281] lr: 1.902e-03, eta: 3:58:26, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8515, loss: 1.8515 2023-12-24 02:30:50,939 - pyskl - INFO - Epoch [124][500/1281] lr: 1.892e-03, eta: 3:57:45, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8525, loss: 1.8525 2023-12-24 02:31:33,492 - pyskl - INFO - Epoch [124][600/1281] lr: 1.881e-03, eta: 3:57:03, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8566, loss: 1.8566 2023-12-24 02:32:15,979 - pyskl - INFO - Epoch [124][700/1281] lr: 1.870e-03, eta: 3:56:21, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8503, loss: 1.8503 2023-12-24 02:32:57,695 - pyskl - INFO - Epoch [124][800/1281] lr: 1.859e-03, eta: 3:55:39, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8558, loss: 1.8558 2023-12-24 02:33:39,283 - pyskl - INFO - Epoch [124][900/1281] lr: 1.849e-03, eta: 3:54:58, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8495, loss: 1.8495 2023-12-24 02:34:21,060 - pyskl - INFO - Epoch [124][1000/1281] lr: 1.838e-03, eta: 3:54:16, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8496, loss: 1.8496 2023-12-24 02:35:03,081 - pyskl - INFO - Epoch [124][1100/1281] lr: 1.827e-03, eta: 3:53:34, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8493, loss: 1.8493 2023-12-24 02:35:45,738 - pyskl - INFO - Epoch [124][1200/1281] lr: 1.817e-03, eta: 3:52:52, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8530, loss: 1.8530 2023-12-24 02:36:05,093 - pyskl - INFO - Saving checkpoint at 124 epochs 2023-12-24 02:37:01,776 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:37:01,831 - pyskl - INFO - top1_acc 0.9328 top5_acc 0.9966 2023-12-24 02:37:01,831 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:37:01,837 - pyskl - INFO - mean_acc 0.9104 2023-12-24 02:37:01,842 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_120.pth was removed 2023-12-24 02:37:02,137 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. 2023-12-24 02:37:02,137 - pyskl - INFO - Best top1_acc is 0.9328 at 124 epoch. 2023-12-24 02:37:02,140 - pyskl - INFO - Epoch(val) [124][533] top1_acc: 0.9328, top5_acc: 0.9966, mean_class_accuracy: 0.9104 2023-12-24 02:38:00,639 - pyskl - INFO - Epoch [125][100/1281] lr: 1.797e-03, eta: 3:51:33, time: 0.585, data_time: 0.168, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8500, loss: 1.8500 2023-12-24 02:38:42,273 - pyskl - INFO - Epoch [125][200/1281] lr: 1.787e-03, eta: 3:50:51, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8557, loss: 1.8557 2023-12-24 02:39:24,064 - pyskl - INFO - Epoch [125][300/1281] lr: 1.776e-03, eta: 3:50:09, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8476, loss: 1.8476 2023-12-24 02:40:05,769 - pyskl - INFO - Epoch [125][400/1281] lr: 1.766e-03, eta: 3:49:27, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8486, loss: 1.8486 2023-12-24 02:40:47,458 - pyskl - INFO - Epoch [125][500/1281] lr: 1.755e-03, eta: 3:48:45, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8491, loss: 1.8491 2023-12-24 02:41:29,167 - pyskl - INFO - Epoch [125][600/1281] lr: 1.745e-03, eta: 3:48:03, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8501, loss: 1.8501 2023-12-24 02:42:10,775 - pyskl - INFO - Epoch [125][700/1281] lr: 1.735e-03, eta: 3:47:22, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8489, loss: 1.8489 2023-12-24 02:42:52,511 - pyskl - INFO - Epoch [125][800/1281] lr: 1.724e-03, eta: 3:46:40, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8486, loss: 1.8486 2023-12-24 02:43:34,195 - pyskl - INFO - Epoch [125][900/1281] lr: 1.714e-03, eta: 3:45:58, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8504, loss: 1.8504 2023-12-24 02:44:15,765 - pyskl - INFO - Epoch [125][1000/1281] lr: 1.704e-03, eta: 3:45:16, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8529, loss: 1.8529 2023-12-24 02:44:58,337 - pyskl - INFO - Epoch [125][1100/1281] lr: 1.693e-03, eta: 3:44:34, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8513, loss: 1.8513 2023-12-24 02:45:41,038 - pyskl - INFO - Epoch [125][1200/1281] lr: 1.683e-03, eta: 3:43:53, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8483, loss: 1.8483 2023-12-24 02:46:01,235 - pyskl - INFO - Saving checkpoint at 125 epochs 2023-12-24 02:46:58,790 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:46:58,859 - pyskl - INFO - top1_acc 0.9346 top5_acc 0.9962 2023-12-24 02:46:58,859 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:46:58,870 - pyskl - INFO - mean_acc 0.9089 2023-12-24 02:46:58,875 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_124.pth was removed 2023-12-24 02:46:59,117 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. 2023-12-24 02:46:59,117 - pyskl - INFO - Best top1_acc is 0.9346 at 125 epoch. 2023-12-24 02:46:59,120 - pyskl - INFO - Epoch(val) [125][533] top1_acc: 0.9346, top5_acc: 0.9962, mean_class_accuracy: 0.9089 2023-12-24 02:47:57,704 - pyskl - INFO - Epoch [126][100/1281] lr: 1.665e-03, eta: 3:42:33, time: 0.586, data_time: 0.168, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 02:48:39,454 - pyskl - INFO - Epoch [126][200/1281] lr: 1.654e-03, eta: 3:41:52, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8486, loss: 1.8486 2023-12-24 02:49:21,226 - pyskl - INFO - Epoch [126][300/1281] lr: 1.644e-03, eta: 3:41:10, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8489, loss: 1.8489 2023-12-24 02:50:03,036 - pyskl - INFO - Epoch [126][400/1281] lr: 1.634e-03, eta: 3:40:28, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8495, loss: 1.8495 2023-12-24 02:50:44,784 - pyskl - INFO - Epoch [126][500/1281] lr: 1.624e-03, eta: 3:39:46, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8584, loss: 1.8584 2023-12-24 02:51:26,417 - pyskl - INFO - Epoch [126][600/1281] lr: 1.614e-03, eta: 3:39:04, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8520, loss: 1.8520 2023-12-24 02:52:08,236 - pyskl - INFO - Epoch [126][700/1281] lr: 1.604e-03, eta: 3:38:22, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8488, loss: 1.8488 2023-12-24 02:52:50,048 - pyskl - INFO - Epoch [126][800/1281] lr: 1.594e-03, eta: 3:37:41, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8494, loss: 1.8494 2023-12-24 02:53:31,719 - pyskl - INFO - Epoch [126][900/1281] lr: 1.584e-03, eta: 3:36:59, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8492, loss: 1.8492 2023-12-24 02:54:13,423 - pyskl - INFO - Epoch [126][1000/1281] lr: 1.574e-03, eta: 3:36:17, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8514, loss: 1.8514 2023-12-24 02:54:55,153 - pyskl - INFO - Epoch [126][1100/1281] lr: 1.564e-03, eta: 3:35:35, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8494, loss: 1.8494 2023-12-24 02:55:36,916 - pyskl - INFO - Epoch [126][1200/1281] lr: 1.554e-03, eta: 3:34:53, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8498, loss: 1.8498 2023-12-24 02:55:57,038 - pyskl - INFO - Saving checkpoint at 126 epochs 2023-12-24 02:56:54,641 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 02:56:54,696 - pyskl - INFO - top1_acc 0.9325 top5_acc 0.9964 2023-12-24 02:56:54,696 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 02:56:54,703 - pyskl - INFO - mean_acc 0.9093 2023-12-24 02:56:54,705 - pyskl - INFO - Epoch(val) [126][533] top1_acc: 0.9325, top5_acc: 0.9964, mean_class_accuracy: 0.9093 2023-12-24 02:57:54,229 - pyskl - INFO - Epoch [127][100/1281] lr: 1.536e-03, eta: 3:33:34, time: 0.595, data_time: 0.169, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 02:58:36,787 - pyskl - INFO - Epoch [127][200/1281] lr: 1.527e-03, eta: 3:32:53, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8486, loss: 1.8486 2023-12-24 02:59:19,238 - pyskl - INFO - Epoch [127][300/1281] lr: 1.517e-03, eta: 3:32:11, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8531, loss: 1.8531 2023-12-24 03:00:01,516 - pyskl - INFO - Epoch [127][400/1281] lr: 1.507e-03, eta: 3:31:29, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8494, loss: 1.8494 2023-12-24 03:00:43,215 - pyskl - INFO - Epoch [127][500/1281] lr: 1.497e-03, eta: 3:30:47, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8515, loss: 1.8515 2023-12-24 03:01:24,878 - pyskl - INFO - Epoch [127][600/1281] lr: 1.488e-03, eta: 3:30:06, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8503, loss: 1.8503 2023-12-24 03:02:06,565 - pyskl - INFO - Epoch [127][700/1281] lr: 1.478e-03, eta: 3:29:24, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8503, loss: 1.8503 2023-12-24 03:02:48,414 - pyskl - INFO - Epoch [127][800/1281] lr: 1.468e-03, eta: 3:28:42, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8479, loss: 1.8479 2023-12-24 03:03:30,099 - pyskl - INFO - Epoch [127][900/1281] lr: 1.459e-03, eta: 3:28:00, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8478, loss: 1.8478 2023-12-24 03:04:11,790 - pyskl - INFO - Epoch [127][1000/1281] lr: 1.449e-03, eta: 3:27:18, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8467, loss: 1.8467 2023-12-24 03:04:53,472 - pyskl - INFO - Epoch [127][1100/1281] lr: 1.440e-03, eta: 3:26:36, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8517, loss: 1.8517 2023-12-24 03:05:35,178 - pyskl - INFO - Epoch [127][1200/1281] lr: 1.430e-03, eta: 3:25:55, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8479, loss: 1.8479 2023-12-24 03:05:55,297 - pyskl - INFO - Saving checkpoint at 127 epochs 2023-12-24 03:06:52,205 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:06:52,259 - pyskl - INFO - top1_acc 0.9351 top5_acc 0.9967 2023-12-24 03:06:52,260 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:06:52,267 - pyskl - INFO - mean_acc 0.9115 2023-12-24 03:06:52,271 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_125.pth was removed 2023-12-24 03:06:52,469 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. 2023-12-24 03:06:52,469 - pyskl - INFO - Best top1_acc is 0.9351 at 127 epoch. 2023-12-24 03:06:52,472 - pyskl - INFO - Epoch(val) [127][533] top1_acc: 0.9351, top5_acc: 0.9967, mean_class_accuracy: 0.9115 2023-12-24 03:07:51,210 - pyskl - INFO - Epoch [128][100/1281] lr: 1.413e-03, eta: 3:24:36, time: 0.587, data_time: 0.170, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8473, loss: 1.8473 2023-12-24 03:08:32,871 - pyskl - INFO - Epoch [128][200/1281] lr: 1.404e-03, eta: 3:23:54, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8547, loss: 1.8547 2023-12-24 03:09:14,502 - pyskl - INFO - Epoch [128][300/1281] lr: 1.394e-03, eta: 3:23:12, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8481, loss: 1.8481 2023-12-24 03:09:56,179 - pyskl - INFO - Epoch [128][400/1281] lr: 1.385e-03, eta: 3:22:30, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 03:10:37,817 - pyskl - INFO - Epoch [128][500/1281] lr: 1.376e-03, eta: 3:21:48, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8502, loss: 1.8502 2023-12-24 03:11:19,524 - pyskl - INFO - Epoch [128][600/1281] lr: 1.366e-03, eta: 3:21:07, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8474, loss: 1.8474 2023-12-24 03:12:01,173 - pyskl - INFO - Epoch [128][700/1281] lr: 1.357e-03, eta: 3:20:25, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 03:12:42,859 - pyskl - INFO - Epoch [128][800/1281] lr: 1.348e-03, eta: 3:19:43, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8477, loss: 1.8477 2023-12-24 03:13:24,458 - pyskl - INFO - Epoch [128][900/1281] lr: 1.339e-03, eta: 3:19:01, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8482, loss: 1.8482 2023-12-24 03:14:06,141 - pyskl - INFO - Epoch [128][1000/1281] lr: 1.329e-03, eta: 3:18:19, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8548, loss: 1.8548 2023-12-24 03:14:47,846 - pyskl - INFO - Epoch [128][1100/1281] lr: 1.320e-03, eta: 3:17:37, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8482, loss: 1.8482 2023-12-24 03:15:29,544 - pyskl - INFO - Epoch [128][1200/1281] lr: 1.311e-03, eta: 3:16:56, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 03:15:49,244 - pyskl - INFO - Saving checkpoint at 128 epochs 2023-12-24 03:16:45,631 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:16:45,690 - pyskl - INFO - top1_acc 0.9380 top5_acc 0.9964 2023-12-24 03:16:45,691 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:16:45,701 - pyskl - INFO - mean_acc 0.9141 2023-12-24 03:16:45,708 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_127.pth was removed 2023-12-24 03:16:45,938 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. 2023-12-24 03:16:45,938 - pyskl - INFO - Best top1_acc is 0.9380 at 128 epoch. 2023-12-24 03:16:45,941 - pyskl - INFO - Epoch(val) [128][533] top1_acc: 0.9380, top5_acc: 0.9964, mean_class_accuracy: 0.9141 2023-12-24 03:17:46,668 - pyskl - INFO - Epoch [129][100/1281] lr: 1.295e-03, eta: 3:15:37, time: 0.607, data_time: 0.181, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8483, loss: 1.8483 2023-12-24 03:18:29,280 - pyskl - INFO - Epoch [129][200/1281] lr: 1.286e-03, eta: 3:14:56, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8473, loss: 1.8473 2023-12-24 03:19:11,214 - pyskl - INFO - Epoch [129][300/1281] lr: 1.277e-03, eta: 3:14:14, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8477, loss: 1.8477 2023-12-24 03:19:52,966 - pyskl - INFO - Epoch [129][400/1281] lr: 1.268e-03, eta: 3:13:32, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 03:20:34,561 - pyskl - INFO - Epoch [129][500/1281] lr: 1.259e-03, eta: 3:12:50, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8503, loss: 1.8503 2023-12-24 03:21:16,439 - pyskl - INFO - Epoch [129][600/1281] lr: 1.250e-03, eta: 3:12:09, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8524, loss: 1.8524 2023-12-24 03:21:58,241 - pyskl - INFO - Epoch [129][700/1281] lr: 1.241e-03, eta: 3:11:27, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8487, loss: 1.8487 2023-12-24 03:22:40,068 - pyskl - INFO - Epoch [129][800/1281] lr: 1.232e-03, eta: 3:10:45, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8491, loss: 1.8491 2023-12-24 03:23:21,881 - pyskl - INFO - Epoch [129][900/1281] lr: 1.223e-03, eta: 3:10:03, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8488, loss: 1.8488 2023-12-24 03:24:03,449 - pyskl - INFO - Epoch [129][1000/1281] lr: 1.214e-03, eta: 3:09:21, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 2023-12-24 03:24:45,097 - pyskl - INFO - Epoch [129][1100/1281] lr: 1.206e-03, eta: 3:08:39, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 2023-12-24 03:25:26,838 - pyskl - INFO - Epoch [129][1200/1281] lr: 1.197e-03, eta: 3:07:58, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 03:25:45,873 - pyskl - INFO - Saving checkpoint at 129 epochs 2023-12-24 03:26:41,810 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:26:41,902 - pyskl - INFO - top1_acc 0.9356 top5_acc 0.9972 2023-12-24 03:26:41,903 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:26:41,910 - pyskl - INFO - mean_acc 0.9115 2023-12-24 03:26:41,912 - pyskl - INFO - Epoch(val) [129][533] top1_acc: 0.9356, top5_acc: 0.9972, mean_class_accuracy: 0.9115 2023-12-24 03:27:40,615 - pyskl - INFO - Epoch [130][100/1281] lr: 1.181e-03, eta: 3:06:39, time: 0.587, data_time: 0.170, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8477, loss: 1.8477 2023-12-24 03:28:22,322 - pyskl - INFO - Epoch [130][200/1281] lr: 1.172e-03, eta: 3:05:57, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8488, loss: 1.8488 2023-12-24 03:29:04,152 - pyskl - INFO - Epoch [130][300/1281] lr: 1.164e-03, eta: 3:05:16, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 2023-12-24 03:29:45,872 - pyskl - INFO - Epoch [130][400/1281] lr: 1.155e-03, eta: 3:04:34, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8498, loss: 1.8498 2023-12-24 03:30:27,599 - pyskl - INFO - Epoch [130][500/1281] lr: 1.147e-03, eta: 3:03:52, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 03:31:09,573 - pyskl - INFO - Epoch [130][600/1281] lr: 1.138e-03, eta: 3:03:10, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 2023-12-24 03:31:51,270 - pyskl - INFO - Epoch [130][700/1281] lr: 1.130e-03, eta: 3:02:29, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8503, loss: 1.8503 2023-12-24 03:32:32,930 - pyskl - INFO - Epoch [130][800/1281] lr: 1.121e-03, eta: 3:01:47, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 2023-12-24 03:33:14,647 - pyskl - INFO - Epoch [130][900/1281] lr: 1.113e-03, eta: 3:01:05, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 2023-12-24 03:33:56,306 - pyskl - INFO - Epoch [130][1000/1281] lr: 1.104e-03, eta: 3:00:23, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8575, loss: 1.8575 2023-12-24 03:34:37,941 - pyskl - INFO - Epoch [130][1100/1281] lr: 1.096e-03, eta: 2:59:41, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8508, loss: 1.8508 2023-12-24 03:35:19,564 - pyskl - INFO - Epoch [130][1200/1281] lr: 1.088e-03, eta: 2:58:59, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8493, loss: 1.8493 2023-12-24 03:35:38,293 - pyskl - INFO - Saving checkpoint at 130 epochs 2023-12-24 03:36:34,192 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:36:34,258 - pyskl - INFO - top1_acc 0.9367 top5_acc 0.9967 2023-12-24 03:36:34,259 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:36:34,270 - pyskl - INFO - mean_acc 0.9142 2023-12-24 03:36:34,273 - pyskl - INFO - Epoch(val) [130][533] top1_acc: 0.9367, top5_acc: 0.9967, mean_class_accuracy: 0.9142 2023-12-24 03:37:34,146 - pyskl - INFO - Epoch [131][100/1281] lr: 1.072e-03, eta: 2:57:41, time: 0.599, data_time: 0.172, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8489, loss: 1.8489 2023-12-24 03:38:16,701 - pyskl - INFO - Epoch [131][200/1281] lr: 1.064e-03, eta: 2:57:00, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 03:38:59,253 - pyskl - INFO - Epoch [131][300/1281] lr: 1.056e-03, eta: 2:56:18, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 03:39:41,829 - pyskl - INFO - Epoch [131][400/1281] lr: 1.048e-03, eta: 2:55:36, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 03:40:23,565 - pyskl - INFO - Epoch [131][500/1281] lr: 1.040e-03, eta: 2:54:55, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 03:41:05,312 - pyskl - INFO - Epoch [131][600/1281] lr: 1.031e-03, eta: 2:54:13, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8484, loss: 1.8484 2023-12-24 03:41:47,129 - pyskl - INFO - Epoch [131][700/1281] lr: 1.023e-03, eta: 2:53:31, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8528, loss: 1.8528 2023-12-24 03:42:28,850 - pyskl - INFO - Epoch [131][800/1281] lr: 1.015e-03, eta: 2:52:49, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8474, loss: 1.8474 2023-12-24 03:43:10,631 - pyskl - INFO - Epoch [131][900/1281] lr: 1.007e-03, eta: 2:52:08, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8483, loss: 1.8483 2023-12-24 03:43:52,485 - pyskl - INFO - Epoch [131][1000/1281] lr: 9.992e-04, eta: 2:51:26, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 2023-12-24 03:44:34,191 - pyskl - INFO - Epoch [131][1100/1281] lr: 9.912e-04, eta: 2:50:44, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8488, loss: 1.8488 2023-12-24 03:45:15,888 - pyskl - INFO - Epoch [131][1200/1281] lr: 9.832e-04, eta: 2:50:02, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 03:45:34,288 - pyskl - INFO - Saving checkpoint at 131 epochs 2023-12-24 03:46:29,473 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:46:29,533 - pyskl - INFO - top1_acc 0.9342 top5_acc 0.9968 2023-12-24 03:46:29,533 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:46:29,545 - pyskl - INFO - mean_acc 0.9104 2023-12-24 03:46:29,549 - pyskl - INFO - Epoch(val) [131][533] top1_acc: 0.9342, top5_acc: 0.9968, mean_class_accuracy: 0.9104 2023-12-24 03:47:28,719 - pyskl - INFO - Epoch [132][100/1281] lr: 9.689e-04, eta: 2:48:44, time: 0.592, data_time: 0.165, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8492, loss: 1.8492 2023-12-24 03:48:11,393 - pyskl - INFO - Epoch [132][200/1281] lr: 9.610e-04, eta: 2:48:03, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8452, loss: 1.8452 2023-12-24 03:48:53,760 - pyskl - INFO - Epoch [132][300/1281] lr: 9.532e-04, eta: 2:47:21, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 03:49:36,355 - pyskl - INFO - Epoch [132][400/1281] lr: 9.454e-04, eta: 2:46:39, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8467, loss: 1.8467 2023-12-24 03:50:18,989 - pyskl - INFO - Epoch [132][500/1281] lr: 9.376e-04, eta: 2:45:58, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8472, loss: 1.8472 2023-12-24 03:51:01,523 - pyskl - INFO - Epoch [132][600/1281] lr: 9.298e-04, eta: 2:45:16, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8467, loss: 1.8467 2023-12-24 03:51:43,852 - pyskl - INFO - Epoch [132][700/1281] lr: 9.221e-04, eta: 2:44:34, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8484, loss: 1.8484 2023-12-24 03:52:25,512 - pyskl - INFO - Epoch [132][800/1281] lr: 9.144e-04, eta: 2:43:52, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8483, loss: 1.8483 2023-12-24 03:53:07,363 - pyskl - INFO - Epoch [132][900/1281] lr: 9.068e-04, eta: 2:43:11, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 2023-12-24 03:53:49,006 - pyskl - INFO - Epoch [132][1000/1281] lr: 8.991e-04, eta: 2:42:29, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8473, loss: 1.8473 2023-12-24 03:54:30,788 - pyskl - INFO - Epoch [132][1100/1281] lr: 8.915e-04, eta: 2:41:47, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2023-12-24 03:55:12,607 - pyskl - INFO - Epoch [132][1200/1281] lr: 8.840e-04, eta: 2:41:05, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 03:55:32,299 - pyskl - INFO - Saving checkpoint at 132 epochs 2023-12-24 03:56:28,906 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 03:56:28,962 - pyskl - INFO - top1_acc 0.9374 top5_acc 0.9966 2023-12-24 03:56:28,962 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 03:56:28,970 - pyskl - INFO - mean_acc 0.9136 2023-12-24 03:56:28,972 - pyskl - INFO - Epoch(val) [132][533] top1_acc: 0.9374, top5_acc: 0.9966, mean_class_accuracy: 0.9136 2023-12-24 03:57:27,795 - pyskl - INFO - Epoch [133][100/1281] lr: 8.704e-04, eta: 2:39:47, time: 0.588, data_time: 0.171, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8488, loss: 1.8488 2023-12-24 03:58:09,555 - pyskl - INFO - Epoch [133][200/1281] lr: 8.629e-04, eta: 2:39:06, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 03:58:52,025 - pyskl - INFO - Epoch [133][300/1281] lr: 8.554e-04, eta: 2:38:24, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8485, loss: 1.8485 2023-12-24 03:59:34,695 - pyskl - INFO - Epoch [133][400/1281] lr: 8.480e-04, eta: 2:37:42, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 04:00:16,883 - pyskl - INFO - Epoch [133][500/1281] lr: 8.406e-04, eta: 2:37:01, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 04:00:58,573 - pyskl - INFO - Epoch [133][600/1281] lr: 8.333e-04, eta: 2:36:19, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 2023-12-24 04:01:40,261 - pyskl - INFO - Epoch [133][700/1281] lr: 8.260e-04, eta: 2:35:37, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 04:02:21,987 - pyskl - INFO - Epoch [133][800/1281] lr: 8.187e-04, eta: 2:34:55, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8481, loss: 1.8481 2023-12-24 04:03:03,672 - pyskl - INFO - Epoch [133][900/1281] lr: 8.114e-04, eta: 2:34:14, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 2023-12-24 04:03:45,437 - pyskl - INFO - Epoch [133][1000/1281] lr: 8.042e-04, eta: 2:33:32, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 04:04:27,140 - pyskl - INFO - Epoch [133][1100/1281] lr: 7.970e-04, eta: 2:32:50, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 04:05:08,839 - pyskl - INFO - Epoch [133][1200/1281] lr: 7.898e-04, eta: 2:32:08, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8479, loss: 1.8479 2023-12-24 04:05:28,911 - pyskl - INFO - Saving checkpoint at 133 epochs 2023-12-24 04:06:26,516 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:06:26,573 - pyskl - INFO - top1_acc 0.9389 top5_acc 0.9971 2023-12-24 04:06:26,574 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:06:26,593 - pyskl - INFO - mean_acc 0.9163 2023-12-24 04:06:26,597 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_128.pth was removed 2023-12-24 04:06:26,795 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. 2023-12-24 04:06:26,795 - pyskl - INFO - Best top1_acc is 0.9389 at 133 epoch. 2023-12-24 04:06:26,798 - pyskl - INFO - Epoch(val) [133][533] top1_acc: 0.9389, top5_acc: 0.9971, mean_class_accuracy: 0.9163 2023-12-24 04:07:26,599 - pyskl - INFO - Epoch [134][100/1281] lr: 7.769e-04, eta: 2:30:51, time: 0.598, data_time: 0.173, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 04:08:09,257 - pyskl - INFO - Epoch [134][200/1281] lr: 7.699e-04, eta: 2:30:09, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 04:08:51,928 - pyskl - INFO - Epoch [134][300/1281] lr: 7.628e-04, eta: 2:29:27, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8487, loss: 1.8487 2023-12-24 04:09:34,532 - pyskl - INFO - Epoch [134][400/1281] lr: 7.558e-04, eta: 2:28:46, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 2023-12-24 04:10:17,117 - pyskl - INFO - Epoch [134][500/1281] lr: 7.488e-04, eta: 2:28:04, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 04:10:59,533 - pyskl - INFO - Epoch [134][600/1281] lr: 7.419e-04, eta: 2:27:22, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8485, loss: 1.8485 2023-12-24 04:11:41,241 - pyskl - INFO - Epoch [134][700/1281] lr: 7.349e-04, eta: 2:26:41, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8487, loss: 1.8487 2023-12-24 04:12:22,881 - pyskl - INFO - Epoch [134][800/1281] lr: 7.281e-04, eta: 2:25:59, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 2023-12-24 04:13:04,596 - pyskl - INFO - Epoch [134][900/1281] lr: 7.212e-04, eta: 2:25:17, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 04:13:46,371 - pyskl - INFO - Epoch [134][1000/1281] lr: 7.144e-04, eta: 2:24:35, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8472, loss: 1.8472 2023-12-24 04:14:28,105 - pyskl - INFO - Epoch [134][1100/1281] lr: 7.076e-04, eta: 2:23:54, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 2023-12-24 04:15:09,845 - pyskl - INFO - Epoch [134][1200/1281] lr: 7.008e-04, eta: 2:23:12, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 2023-12-24 04:15:30,432 - pyskl - INFO - Saving checkpoint at 134 epochs 2023-12-24 04:16:28,593 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:16:28,649 - pyskl - INFO - top1_acc 0.9370 top5_acc 0.9969 2023-12-24 04:16:28,649 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:16:28,657 - pyskl - INFO - mean_acc 0.9148 2023-12-24 04:16:28,659 - pyskl - INFO - Epoch(val) [134][533] top1_acc: 0.9370, top5_acc: 0.9969, mean_class_accuracy: 0.9148 2023-12-24 04:17:27,955 - pyskl - INFO - Epoch [135][100/1281] lr: 6.887e-04, eta: 2:21:54, time: 0.593, data_time: 0.167, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 04:18:10,549 - pyskl - INFO - Epoch [135][200/1281] lr: 6.820e-04, eta: 2:21:13, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 2023-12-24 04:18:52,371 - pyskl - INFO - Epoch [135][300/1281] lr: 6.753e-04, eta: 2:20:31, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 04:19:34,066 - pyskl - INFO - Epoch [135][400/1281] lr: 6.687e-04, eta: 2:19:49, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8485, loss: 1.8485 2023-12-24 04:20:15,736 - pyskl - INFO - Epoch [135][500/1281] lr: 6.622e-04, eta: 2:19:07, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 2023-12-24 04:20:57,513 - pyskl - INFO - Epoch [135][600/1281] lr: 6.556e-04, eta: 2:18:26, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2023-12-24 04:21:39,267 - pyskl - INFO - Epoch [135][700/1281] lr: 6.491e-04, eta: 2:17:44, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 2023-12-24 04:22:21,049 - pyskl - INFO - Epoch [135][800/1281] lr: 6.426e-04, eta: 2:17:02, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 04:23:02,862 - pyskl - INFO - Epoch [135][900/1281] lr: 6.362e-04, eta: 2:16:20, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8476, loss: 1.8476 2023-12-24 04:23:44,611 - pyskl - INFO - Epoch [135][1000/1281] lr: 6.297e-04, eta: 2:15:39, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8475, loss: 1.8475 2023-12-24 04:24:26,422 - pyskl - INFO - Epoch [135][1100/1281] lr: 6.233e-04, eta: 2:14:57, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 04:25:08,300 - pyskl - INFO - Epoch [135][1200/1281] lr: 6.170e-04, eta: 2:14:15, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8472, loss: 1.8472 2023-12-24 04:25:28,679 - pyskl - INFO - Saving checkpoint at 135 epochs 2023-12-24 04:26:26,707 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:26:26,767 - pyskl - INFO - top1_acc 0.9366 top5_acc 0.9974 2023-12-24 04:26:26,767 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:26:26,777 - pyskl - INFO - mean_acc 0.9113 2023-12-24 04:26:26,781 - pyskl - INFO - Epoch(val) [135][533] top1_acc: 0.9366, top5_acc: 0.9974, mean_class_accuracy: 0.9113 2023-12-24 04:27:25,961 - pyskl - INFO - Epoch [136][100/1281] lr: 6.056e-04, eta: 2:12:58, time: 0.592, data_time: 0.166, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 04:28:08,498 - pyskl - INFO - Epoch [136][200/1281] lr: 5.993e-04, eta: 2:12:16, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 04:28:51,064 - pyskl - INFO - Epoch [136][300/1281] lr: 5.931e-04, eta: 2:11:35, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 04:29:33,633 - pyskl - INFO - Epoch [136][400/1281] lr: 5.868e-04, eta: 2:10:53, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 2023-12-24 04:30:16,263 - pyskl - INFO - Epoch [136][500/1281] lr: 5.807e-04, eta: 2:10:11, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 04:30:58,746 - pyskl - INFO - Epoch [136][600/1281] lr: 5.745e-04, eta: 2:09:30, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8467, loss: 1.8467 2023-12-24 04:31:40,543 - pyskl - INFO - Epoch [136][700/1281] lr: 5.684e-04, eta: 2:08:48, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 04:32:22,341 - pyskl - INFO - Epoch [136][800/1281] lr: 5.623e-04, eta: 2:08:06, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 04:33:04,060 - pyskl - INFO - Epoch [136][900/1281] lr: 5.563e-04, eta: 2:07:24, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 04:33:45,841 - pyskl - INFO - Epoch [136][1000/1281] lr: 5.503e-04, eta: 2:06:43, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8476, loss: 1.8476 2023-12-24 04:34:27,623 - pyskl - INFO - Epoch [136][1100/1281] lr: 5.443e-04, eta: 2:06:01, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8472, loss: 1.8472 2023-12-24 04:35:09,323 - pyskl - INFO - Epoch [136][1200/1281] lr: 5.384e-04, eta: 2:05:19, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 04:35:29,584 - pyskl - INFO - Saving checkpoint at 136 epochs 2023-12-24 04:36:27,173 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:36:27,243 - pyskl - INFO - top1_acc 0.9371 top5_acc 0.9971 2023-12-24 04:36:27,243 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:36:27,254 - pyskl - INFO - mean_acc 0.9131 2023-12-24 04:36:27,257 - pyskl - INFO - Epoch(val) [136][533] top1_acc: 0.9371, top5_acc: 0.9971, mean_class_accuracy: 0.9131 2023-12-24 04:37:27,140 - pyskl - INFO - Epoch [137][100/1281] lr: 5.277e-04, eta: 2:04:02, time: 0.599, data_time: 0.173, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 04:38:09,719 - pyskl - INFO - Epoch [137][200/1281] lr: 5.218e-04, eta: 2:03:20, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 2023-12-24 04:38:52,338 - pyskl - INFO - Epoch [137][300/1281] lr: 5.160e-04, eta: 2:02:39, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8449, loss: 1.8449 2023-12-24 04:39:34,904 - pyskl - INFO - Epoch [137][400/1281] lr: 5.102e-04, eta: 2:01:57, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 04:40:17,497 - pyskl - INFO - Epoch [137][500/1281] lr: 5.044e-04, eta: 2:01:15, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 04:41:00,240 - pyskl - INFO - Epoch [137][600/1281] lr: 4.987e-04, eta: 2:00:34, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 2023-12-24 04:41:42,806 - pyskl - INFO - Epoch [137][700/1281] lr: 4.930e-04, eta: 1:59:52, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 04:42:25,377 - pyskl - INFO - Epoch [137][800/1281] lr: 4.873e-04, eta: 1:59:10, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 2023-12-24 04:43:07,822 - pyskl - INFO - Epoch [137][900/1281] lr: 4.817e-04, eta: 1:58:29, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 04:43:49,543 - pyskl - INFO - Epoch [137][1000/1281] lr: 4.761e-04, eta: 1:57:47, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 2023-12-24 04:44:31,262 - pyskl - INFO - Epoch [137][1100/1281] lr: 4.705e-04, eta: 1:57:05, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 2023-12-24 04:45:12,981 - pyskl - INFO - Epoch [137][1200/1281] lr: 4.650e-04, eta: 1:56:24, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8474, loss: 1.8474 2023-12-24 04:45:32,801 - pyskl - INFO - Saving checkpoint at 137 epochs 2023-12-24 04:46:29,467 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:46:29,521 - pyskl - INFO - top1_acc 0.9372 top5_acc 0.9974 2023-12-24 04:46:29,521 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:46:29,527 - pyskl - INFO - mean_acc 0.9145 2023-12-24 04:46:29,529 - pyskl - INFO - Epoch(val) [137][533] top1_acc: 0.9372, top5_acc: 0.9974, mean_class_accuracy: 0.9145 2023-12-24 04:47:28,504 - pyskl - INFO - Epoch [138][100/1281] lr: 4.550e-04, eta: 1:55:06, time: 0.590, data_time: 0.172, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8452, loss: 1.8452 2023-12-24 04:48:10,256 - pyskl - INFO - Epoch [138][200/1281] lr: 4.496e-04, eta: 1:54:25, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 2023-12-24 04:48:52,025 - pyskl - INFO - Epoch [138][300/1281] lr: 4.442e-04, eta: 1:53:43, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 04:49:33,843 - pyskl - INFO - Epoch [138][400/1281] lr: 4.388e-04, eta: 1:53:01, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 04:50:15,602 - pyskl - INFO - Epoch [138][500/1281] lr: 4.334e-04, eta: 1:52:20, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 04:50:57,460 - pyskl - INFO - Epoch [138][600/1281] lr: 4.281e-04, eta: 1:51:38, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 2023-12-24 04:51:39,213 - pyskl - INFO - Epoch [138][700/1281] lr: 4.228e-04, eta: 1:50:56, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 04:52:20,946 - pyskl - INFO - Epoch [138][800/1281] lr: 4.176e-04, eta: 1:50:14, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 2023-12-24 04:53:02,640 - pyskl - INFO - Epoch [138][900/1281] lr: 4.124e-04, eta: 1:49:33, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8482, loss: 1.8482 2023-12-24 04:53:44,344 - pyskl - INFO - Epoch [138][1000/1281] lr: 4.072e-04, eta: 1:48:51, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8473, loss: 1.8473 2023-12-24 04:54:26,039 - pyskl - INFO - Epoch [138][1100/1281] lr: 4.020e-04, eta: 1:48:09, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 04:55:07,841 - pyskl - INFO - Epoch [138][1200/1281] lr: 3.969e-04, eta: 1:47:28, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 2023-12-24 04:55:26,672 - pyskl - INFO - Saving checkpoint at 138 epochs 2023-12-24 04:56:22,305 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 04:56:22,360 - pyskl - INFO - top1_acc 0.9365 top5_acc 0.9975 2023-12-24 04:56:22,361 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 04:56:22,367 - pyskl - INFO - mean_acc 0.9112 2023-12-24 04:56:22,369 - pyskl - INFO - Epoch(val) [138][533] top1_acc: 0.9365, top5_acc: 0.9975, mean_class_accuracy: 0.9112 2023-12-24 04:57:21,007 - pyskl - INFO - Epoch [139][100/1281] lr: 3.877e-04, eta: 1:46:11, time: 0.586, data_time: 0.169, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8477, loss: 1.8477 2023-12-24 04:58:02,726 - pyskl - INFO - Epoch [139][200/1281] lr: 3.827e-04, eta: 1:45:29, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 2023-12-24 04:58:44,498 - pyskl - INFO - Epoch [139][300/1281] lr: 3.777e-04, eta: 1:44:47, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2023-12-24 04:59:26,114 - pyskl - INFO - Epoch [139][400/1281] lr: 3.727e-04, eta: 1:44:05, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 05:00:08,487 - pyskl - INFO - Epoch [139][500/1281] lr: 3.678e-04, eta: 1:43:24, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 2023-12-24 05:00:51,074 - pyskl - INFO - Epoch [139][600/1281] lr: 3.628e-04, eta: 1:42:42, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 2023-12-24 05:01:33,707 - pyskl - INFO - Epoch [139][700/1281] lr: 3.580e-04, eta: 1:42:00, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8473, loss: 1.8473 2023-12-24 05:02:16,420 - pyskl - INFO - Epoch [139][800/1281] lr: 3.531e-04, eta: 1:41:19, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 05:02:59,055 - pyskl - INFO - Epoch [139][900/1281] lr: 3.483e-04, eta: 1:40:37, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 05:03:41,720 - pyskl - INFO - Epoch [139][1000/1281] lr: 3.436e-04, eta: 1:39:55, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8473, loss: 1.8473 2023-12-24 05:04:23,436 - pyskl - INFO - Epoch [139][1100/1281] lr: 3.388e-04, eta: 1:39:14, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8467, loss: 1.8467 2023-12-24 05:05:05,251 - pyskl - INFO - Epoch [139][1200/1281] lr: 3.341e-04, eta: 1:38:32, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 05:05:23,868 - pyskl - INFO - Saving checkpoint at 139 epochs 2023-12-24 05:06:18,387 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:06:18,442 - pyskl - INFO - top1_acc 0.9363 top5_acc 0.9967 2023-12-24 05:06:18,442 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:06:18,448 - pyskl - INFO - mean_acc 0.9118 2023-12-24 05:06:18,449 - pyskl - INFO - Epoch(val) [139][533] top1_acc: 0.9363, top5_acc: 0.9967, mean_class_accuracy: 0.9118 2023-12-24 05:07:17,247 - pyskl - INFO - Epoch [140][100/1281] lr: 3.257e-04, eta: 1:37:15, time: 0.588, data_time: 0.171, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 2023-12-24 05:07:58,959 - pyskl - INFO - Epoch [140][200/1281] lr: 3.210e-04, eta: 1:36:34, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 05:08:40,736 - pyskl - INFO - Epoch [140][300/1281] lr: 3.165e-04, eta: 1:35:52, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 2023-12-24 05:09:22,416 - pyskl - INFO - Epoch [140][400/1281] lr: 3.119e-04, eta: 1:35:10, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8467, loss: 1.8467 2023-12-24 05:10:04,142 - pyskl - INFO - Epoch [140][500/1281] lr: 3.074e-04, eta: 1:34:28, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 05:10:45,941 - pyskl - INFO - Epoch [140][600/1281] lr: 3.029e-04, eta: 1:33:47, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 2023-12-24 05:11:27,596 - pyskl - INFO - Epoch [140][700/1281] lr: 2.984e-04, eta: 1:33:05, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 2023-12-24 05:12:09,341 - pyskl - INFO - Epoch [140][800/1281] lr: 2.940e-04, eta: 1:32:23, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 05:12:51,123 - pyskl - INFO - Epoch [140][900/1281] lr: 2.896e-04, eta: 1:31:42, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8467, loss: 1.8467 2023-12-24 05:13:32,891 - pyskl - INFO - Epoch [140][1000/1281] lr: 2.853e-04, eta: 1:31:00, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 05:14:14,698 - pyskl - INFO - Epoch [140][1100/1281] lr: 2.809e-04, eta: 1:30:18, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 05:14:56,359 - pyskl - INFO - Epoch [140][1200/1281] lr: 2.767e-04, eta: 1:29:36, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 2023-12-24 05:15:14,636 - pyskl - INFO - Saving checkpoint at 140 epochs 2023-12-24 05:16:08,842 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:16:08,903 - pyskl - INFO - top1_acc 0.9364 top5_acc 0.9969 2023-12-24 05:16:08,903 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:16:08,913 - pyskl - INFO - mean_acc 0.9121 2023-12-24 05:16:08,916 - pyskl - INFO - Epoch(val) [140][533] top1_acc: 0.9364, top5_acc: 0.9969, mean_class_accuracy: 0.9121 2023-12-24 05:17:09,159 - pyskl - INFO - Epoch [141][100/1281] lr: 2.690e-04, eta: 1:28:20, time: 0.602, data_time: 0.176, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 2023-12-24 05:17:51,579 - pyskl - INFO - Epoch [141][200/1281] lr: 2.648e-04, eta: 1:27:38, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8475, loss: 1.8475 2023-12-24 05:18:34,090 - pyskl - INFO - Epoch [141][300/1281] lr: 2.606e-04, eta: 1:26:57, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 05:19:16,710 - pyskl - INFO - Epoch [141][400/1281] lr: 2.565e-04, eta: 1:26:15, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 2023-12-24 05:19:59,409 - pyskl - INFO - Epoch [141][500/1281] lr: 2.524e-04, eta: 1:25:33, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 2023-12-24 05:20:42,014 - pyskl - INFO - Epoch [141][600/1281] lr: 2.483e-04, eta: 1:24:52, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 05:21:24,634 - pyskl - INFO - Epoch [141][700/1281] lr: 2.443e-04, eta: 1:24:10, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 05:22:07,301 - pyskl - INFO - Epoch [141][800/1281] lr: 2.402e-04, eta: 1:23:28, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8475, loss: 1.8475 2023-12-24 05:22:49,953 - pyskl - INFO - Epoch [141][900/1281] lr: 2.363e-04, eta: 1:22:47, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 05:23:32,595 - pyskl - INFO - Epoch [141][1000/1281] lr: 2.323e-04, eta: 1:22:05, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8453, loss: 1.8453 2023-12-24 05:24:15,253 - pyskl - INFO - Epoch [141][1100/1281] lr: 2.284e-04, eta: 1:21:23, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8474, loss: 1.8474 2023-12-24 05:24:57,062 - pyskl - INFO - Epoch [141][1200/1281] lr: 2.246e-04, eta: 1:20:42, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 2023-12-24 05:25:15,695 - pyskl - INFO - Saving checkpoint at 141 epochs 2023-12-24 05:26:09,277 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:26:09,345 - pyskl - INFO - top1_acc 0.9379 top5_acc 0.9969 2023-12-24 05:26:09,345 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:26:09,353 - pyskl - INFO - mean_acc 0.9156 2023-12-24 05:26:09,355 - pyskl - INFO - Epoch(val) [141][533] top1_acc: 0.9379, top5_acc: 0.9969, mean_class_accuracy: 0.9156 2023-12-24 05:27:08,963 - pyskl - INFO - Epoch [142][100/1281] lr: 2.176e-04, eta: 1:19:25, time: 0.596, data_time: 0.171, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2023-12-24 05:27:51,636 - pyskl - INFO - Epoch [142][200/1281] lr: 2.139e-04, eta: 1:18:44, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 05:28:34,232 - pyskl - INFO - Epoch [142][300/1281] lr: 2.101e-04, eta: 1:18:02, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 2023-12-24 05:29:15,790 - pyskl - INFO - Epoch [142][400/1281] lr: 2.064e-04, eta: 1:17:20, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 05:29:57,527 - pyskl - INFO - Epoch [142][500/1281] lr: 2.027e-04, eta: 1:16:39, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 05:30:39,321 - pyskl - INFO - Epoch [142][600/1281] lr: 1.991e-04, eta: 1:15:57, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 05:31:21,165 - pyskl - INFO - Epoch [142][700/1281] lr: 1.954e-04, eta: 1:15:15, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 2023-12-24 05:32:02,935 - pyskl - INFO - Epoch [142][800/1281] lr: 1.919e-04, eta: 1:14:33, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 2023-12-24 05:32:44,814 - pyskl - INFO - Epoch [142][900/1281] lr: 1.883e-04, eta: 1:13:52, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 05:33:26,509 - pyskl - INFO - Epoch [142][1000/1281] lr: 1.848e-04, eta: 1:13:10, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 2023-12-24 05:34:08,310 - pyskl - INFO - Epoch [142][1100/1281] lr: 1.813e-04, eta: 1:12:28, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 05:34:49,016 - pyskl - INFO - Epoch [142][1200/1281] lr: 1.779e-04, eta: 1:11:47, time: 0.407, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2023-12-24 05:35:07,733 - pyskl - INFO - Saving checkpoint at 142 epochs 2023-12-24 05:36:01,844 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:36:01,905 - pyskl - INFO - top1_acc 0.9367 top5_acc 0.9972 2023-12-24 05:36:01,905 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:36:01,914 - pyskl - INFO - mean_acc 0.9124 2023-12-24 05:36:01,916 - pyskl - INFO - Epoch(val) [142][533] top1_acc: 0.9367, top5_acc: 0.9972, mean_class_accuracy: 0.9124 2023-12-24 05:37:05,021 - pyskl - INFO - Epoch [143][100/1281] lr: 1.717e-04, eta: 1:10:30, time: 0.631, data_time: 0.206, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 2023-12-24 05:37:48,786 - pyskl - INFO - Epoch [143][200/1281] lr: 1.683e-04, eta: 1:09:49, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 2023-12-24 05:38:31,013 - pyskl - INFO - Epoch [143][300/1281] lr: 1.650e-04, eta: 1:09:07, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 2023-12-24 05:39:12,921 - pyskl - INFO - Epoch [143][400/1281] lr: 1.617e-04, eta: 1:08:26, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 05:39:54,865 - pyskl - INFO - Epoch [143][500/1281] lr: 1.585e-04, eta: 1:07:44, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8483, loss: 1.8483 2023-12-24 05:40:37,041 - pyskl - INFO - Epoch [143][600/1281] lr: 1.552e-04, eta: 1:07:02, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 05:41:19,354 - pyskl - INFO - Epoch [143][700/1281] lr: 1.520e-04, eta: 1:06:21, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 05:42:01,458 - pyskl - INFO - Epoch [143][800/1281] lr: 1.489e-04, eta: 1:05:39, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 2023-12-24 05:42:43,506 - pyskl - INFO - Epoch [143][900/1281] lr: 1.457e-04, eta: 1:04:57, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 05:43:25,302 - pyskl - INFO - Epoch [143][1000/1281] lr: 1.426e-04, eta: 1:04:15, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 2023-12-24 05:44:07,139 - pyskl - INFO - Epoch [143][1100/1281] lr: 1.396e-04, eta: 1:03:34, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 2023-12-24 05:44:47,271 - pyskl - INFO - Epoch [143][1200/1281] lr: 1.366e-04, eta: 1:02:52, time: 0.401, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 05:45:06,618 - pyskl - INFO - Saving checkpoint at 143 epochs 2023-12-24 05:46:02,932 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:46:03,006 - pyskl - INFO - top1_acc 0.9369 top5_acc 0.9971 2023-12-24 05:46:03,006 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:46:03,015 - pyskl - INFO - mean_acc 0.9127 2023-12-24 05:46:03,018 - pyskl - INFO - Epoch(val) [143][533] top1_acc: 0.9369, top5_acc: 0.9971, mean_class_accuracy: 0.9127 2023-12-24 05:47:05,417 - pyskl - INFO - Epoch [144][100/1281] lr: 1.312e-04, eta: 1:01:36, time: 0.624, data_time: 0.202, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8491, loss: 1.8491 2023-12-24 05:47:47,176 - pyskl - INFO - Epoch [144][200/1281] lr: 1.282e-04, eta: 1:00:54, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 2023-12-24 05:48:28,948 - pyskl - INFO - Epoch [144][300/1281] lr: 1.253e-04, eta: 1:00:13, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8450, loss: 1.8450 2023-12-24 05:49:11,255 - pyskl - INFO - Epoch [144][400/1281] lr: 1.224e-04, eta: 0:59:31, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 05:49:53,376 - pyskl - INFO - Epoch [144][500/1281] lr: 1.196e-04, eta: 0:58:49, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8474, loss: 1.8474 2023-12-24 05:50:35,468 - pyskl - INFO - Epoch [144][600/1281] lr: 1.168e-04, eta: 0:58:08, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 05:51:17,535 - pyskl - INFO - Epoch [144][700/1281] lr: 1.140e-04, eta: 0:57:26, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8478, loss: 1.8478 2023-12-24 05:51:59,166 - pyskl - INFO - Epoch [144][800/1281] lr: 1.113e-04, eta: 0:56:44, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 2023-12-24 05:52:42,118 - pyskl - INFO - Epoch [144][900/1281] lr: 1.086e-04, eta: 0:56:03, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 2023-12-24 05:53:25,385 - pyskl - INFO - Epoch [144][1000/1281] lr: 1.059e-04, eta: 0:55:21, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2023-12-24 05:54:07,606 - pyskl - INFO - Epoch [144][1100/1281] lr: 1.033e-04, eta: 0:54:39, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2023-12-24 05:54:48,244 - pyskl - INFO - Epoch [144][1200/1281] lr: 1.007e-04, eta: 0:53:58, time: 0.406, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 05:55:06,280 - pyskl - INFO - Saving checkpoint at 144 epochs 2023-12-24 05:56:01,065 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 05:56:01,120 - pyskl - INFO - top1_acc 0.9378 top5_acc 0.9971 2023-12-24 05:56:01,120 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 05:56:01,126 - pyskl - INFO - mean_acc 0.9147 2023-12-24 05:56:01,128 - pyskl - INFO - Epoch(val) [144][533] top1_acc: 0.9378, top5_acc: 0.9971, mean_class_accuracy: 0.9147 2023-12-24 05:57:04,076 - pyskl - INFO - Epoch [145][100/1281] lr: 9.605e-05, eta: 0:52:42, time: 0.629, data_time: 0.192, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8482, loss: 1.8482 2023-12-24 05:57:46,738 - pyskl - INFO - Epoch [145][200/1281] lr: 9.353e-05, eta: 0:52:00, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8451, loss: 1.8451 2023-12-24 05:58:28,854 - pyskl - INFO - Epoch [145][300/1281] lr: 9.106e-05, eta: 0:51:18, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8474, loss: 1.8474 2023-12-24 05:59:11,187 - pyskl - INFO - Epoch [145][400/1281] lr: 8.861e-05, eta: 0:50:37, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 05:59:52,905 - pyskl - INFO - Epoch [145][500/1281] lr: 8.620e-05, eta: 0:49:55, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 2023-12-24 06:00:35,042 - pyskl - INFO - Epoch [145][600/1281] lr: 8.382e-05, eta: 0:49:13, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 06:01:17,426 - pyskl - INFO - Epoch [145][700/1281] lr: 8.147e-05, eta: 0:48:32, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8488, loss: 1.8488 2023-12-24 06:02:01,116 - pyskl - INFO - Epoch [145][800/1281] lr: 7.916e-05, eta: 0:47:50, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 06:02:45,101 - pyskl - INFO - Epoch [145][900/1281] lr: 7.688e-05, eta: 0:47:08, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8472, loss: 1.8472 2023-12-24 06:03:27,938 - pyskl - INFO - Epoch [145][1000/1281] lr: 7.463e-05, eta: 0:46:27, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 2023-12-24 06:04:10,852 - pyskl - INFO - Epoch [145][1100/1281] lr: 7.242e-05, eta: 0:45:45, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 2023-12-24 06:04:52,759 - pyskl - INFO - Epoch [145][1200/1281] lr: 7.024e-05, eta: 0:45:03, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 06:05:11,451 - pyskl - INFO - Saving checkpoint at 145 epochs 2023-12-24 06:06:10,579 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:06:10,643 - pyskl - INFO - top1_acc 0.9367 top5_acc 0.9972 2023-12-24 06:06:10,643 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:06:10,651 - pyskl - INFO - mean_acc 0.9139 2023-12-24 06:06:10,654 - pyskl - INFO - Epoch(val) [145][533] top1_acc: 0.9367, top5_acc: 0.9972, mean_class_accuracy: 0.9139 2023-12-24 06:07:13,305 - pyskl - INFO - Epoch [146][100/1281] lr: 6.638e-05, eta: 0:43:48, time: 0.626, data_time: 0.205, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 06:07:55,313 - pyskl - INFO - Epoch [146][200/1281] lr: 6.429e-05, eta: 0:43:06, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 06:08:37,583 - pyskl - INFO - Epoch [146][300/1281] lr: 6.224e-05, eta: 0:42:24, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 2023-12-24 06:09:19,892 - pyskl - INFO - Epoch [146][400/1281] lr: 6.022e-05, eta: 0:41:43, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2023-12-24 06:10:02,044 - pyskl - INFO - Epoch [146][500/1281] lr: 5.823e-05, eta: 0:41:01, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8451, loss: 1.8451 2023-12-24 06:10:44,222 - pyskl - INFO - Epoch [146][600/1281] lr: 5.628e-05, eta: 0:40:19, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 06:11:25,993 - pyskl - INFO - Epoch [146][700/1281] lr: 5.436e-05, eta: 0:39:38, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 06:12:08,175 - pyskl - INFO - Epoch [146][800/1281] lr: 5.247e-05, eta: 0:38:56, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 2023-12-24 06:12:50,607 - pyskl - INFO - Epoch [146][900/1281] lr: 5.061e-05, eta: 0:38:14, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 2023-12-24 06:13:32,894 - pyskl - INFO - Epoch [146][1000/1281] lr: 4.879e-05, eta: 0:37:33, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 06:14:15,236 - pyskl - INFO - Epoch [146][1100/1281] lr: 4.701e-05, eta: 0:36:51, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 2023-12-24 06:14:56,890 - pyskl - INFO - Epoch [146][1200/1281] lr: 4.525e-05, eta: 0:36:09, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 2023-12-24 06:15:14,245 - pyskl - INFO - Saving checkpoint at 146 epochs 2023-12-24 06:16:11,176 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:16:11,252 - pyskl - INFO - top1_acc 0.9370 top5_acc 0.9974 2023-12-24 06:16:11,253 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:16:11,261 - pyskl - INFO - mean_acc 0.9135 2023-12-24 06:16:11,263 - pyskl - INFO - Epoch(val) [146][533] top1_acc: 0.9370, top5_acc: 0.9974, mean_class_accuracy: 0.9135 2023-12-24 06:17:16,280 - pyskl - INFO - Epoch [147][100/1281] lr: 4.216e-05, eta: 0:34:53, time: 0.650, data_time: 0.211, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 06:18:00,231 - pyskl - INFO - Epoch [147][200/1281] lr: 4.050e-05, eta: 0:34:12, time: 0.439, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 2023-12-24 06:18:43,295 - pyskl - INFO - Epoch [147][300/1281] lr: 3.887e-05, eta: 0:33:30, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 2023-12-24 06:19:26,392 - pyskl - INFO - Epoch [147][400/1281] lr: 3.728e-05, eta: 0:32:49, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8453, loss: 1.8453 2023-12-24 06:20:10,444 - pyskl - INFO - Epoch [147][500/1281] lr: 3.572e-05, eta: 0:32:07, time: 0.441, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8453, loss: 1.8453 2023-12-24 06:20:54,654 - pyskl - INFO - Epoch [147][600/1281] lr: 3.419e-05, eta: 0:31:25, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 2023-12-24 06:21:38,738 - pyskl - INFO - Epoch [147][700/1281] lr: 3.270e-05, eta: 0:30:44, time: 0.441, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8472, loss: 1.8472 2023-12-24 06:22:22,215 - pyskl - INFO - Epoch [147][800/1281] lr: 3.124e-05, eta: 0:30:02, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 06:23:05,111 - pyskl - INFO - Epoch [147][900/1281] lr: 2.981e-05, eta: 0:29:20, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8448, loss: 1.8448 2023-12-24 06:23:47,868 - pyskl - INFO - Epoch [147][1000/1281] lr: 2.842e-05, eta: 0:28:39, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 2023-12-24 06:24:32,095 - pyskl - INFO - Epoch [147][1100/1281] lr: 2.706e-05, eta: 0:27:57, time: 0.442, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 06:25:14,692 - pyskl - INFO - Epoch [147][1200/1281] lr: 2.573e-05, eta: 0:27:15, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 06:25:33,605 - pyskl - INFO - Saving checkpoint at 147 epochs 2023-12-24 06:26:29,093 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:26:29,149 - pyskl - INFO - top1_acc 0.9377 top5_acc 0.9974 2023-12-24 06:26:29,149 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:26:29,157 - pyskl - INFO - mean_acc 0.9137 2023-12-24 06:26:29,159 - pyskl - INFO - Epoch(val) [147][533] top1_acc: 0.9377, top5_acc: 0.9974, mean_class_accuracy: 0.9137 2023-12-24 06:27:31,585 - pyskl - INFO - Epoch [148][100/1281] lr: 2.341e-05, eta: 0:26:00, time: 0.624, data_time: 0.185, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8452, loss: 1.8452 2023-12-24 06:28:15,594 - pyskl - INFO - Epoch [148][200/1281] lr: 2.218e-05, eta: 0:25:18, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8467, loss: 1.8467 2023-12-24 06:28:59,581 - pyskl - INFO - Epoch [148][300/1281] lr: 2.098e-05, eta: 0:24:36, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 2023-12-24 06:29:42,964 - pyskl - INFO - Epoch [148][400/1281] lr: 1.981e-05, eta: 0:23:55, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 06:30:25,755 - pyskl - INFO - Epoch [148][500/1281] lr: 1.868e-05, eta: 0:23:13, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 2023-12-24 06:31:09,349 - pyskl - INFO - Epoch [148][600/1281] lr: 1.758e-05, eta: 0:22:31, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 06:31:52,370 - pyskl - INFO - Epoch [148][700/1281] lr: 1.651e-05, eta: 0:21:50, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 06:32:36,696 - pyskl - INFO - Epoch [148][800/1281] lr: 1.548e-05, eta: 0:21:08, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8451, loss: 1.8451 2023-12-24 06:33:20,288 - pyskl - INFO - Epoch [148][900/1281] lr: 1.448e-05, eta: 0:20:26, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 06:34:02,907 - pyskl - INFO - Epoch [148][1000/1281] lr: 1.351e-05, eta: 0:19:45, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 06:34:45,938 - pyskl - INFO - Epoch [148][1100/1281] lr: 1.258e-05, eta: 0:19:03, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 2023-12-24 06:35:25,717 - pyskl - INFO - Epoch [148][1200/1281] lr: 1.168e-05, eta: 0:18:21, time: 0.398, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 2023-12-24 06:35:45,807 - pyskl - INFO - Saving checkpoint at 148 epochs 2023-12-24 06:36:42,653 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:36:42,718 - pyskl - INFO - top1_acc 0.9373 top5_acc 0.9972 2023-12-24 06:36:42,718 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:36:42,733 - pyskl - INFO - mean_acc 0.9130 2023-12-24 06:36:42,739 - pyskl - INFO - Epoch(val) [148][533] top1_acc: 0.9373, top5_acc: 0.9972, mean_class_accuracy: 0.9130 2023-12-24 06:37:43,704 - pyskl - INFO - Epoch [149][100/1281] lr: 1.013e-05, eta: 0:17:06, time: 0.610, data_time: 0.193, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 2023-12-24 06:38:26,149 - pyskl - INFO - Epoch [149][200/1281] lr: 9.328e-06, eta: 0:16:24, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8477, loss: 1.8477 2023-12-24 06:39:08,604 - pyskl - INFO - Epoch [149][300/1281] lr: 8.555e-06, eta: 0:15:42, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 2023-12-24 06:39:50,825 - pyskl - INFO - Epoch [149][400/1281] lr: 7.816e-06, eta: 0:15:01, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8451, loss: 1.8451 2023-12-24 06:40:32,991 - pyskl - INFO - Epoch [149][500/1281] lr: 7.110e-06, eta: 0:14:19, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 2023-12-24 06:41:14,648 - pyskl - INFO - Epoch [149][600/1281] lr: 6.437e-06, eta: 0:13:37, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 06:41:57,459 - pyskl - INFO - Epoch [149][700/1281] lr: 5.798e-06, eta: 0:12:56, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 2023-12-24 06:42:41,378 - pyskl - INFO - Epoch [149][800/1281] lr: 5.192e-06, eta: 0:12:14, time: 0.439, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2023-12-24 06:43:25,434 - pyskl - INFO - Epoch [149][900/1281] lr: 4.620e-06, eta: 0:11:32, time: 0.441, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 2023-12-24 06:44:09,375 - pyskl - INFO - Epoch [149][1000/1281] lr: 4.081e-06, eta: 0:10:51, time: 0.439, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 2023-12-24 06:44:51,130 - pyskl - INFO - Epoch [149][1100/1281] lr: 3.576e-06, eta: 0:10:09, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8447, loss: 1.8447 2023-12-24 06:45:32,742 - pyskl - INFO - Epoch [149][1200/1281] lr: 3.104e-06, eta: 0:09:27, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 06:45:51,534 - pyskl - INFO - Saving checkpoint at 149 epochs 2023-12-24 06:46:51,831 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:46:51,892 - pyskl - INFO - top1_acc 0.9374 top5_acc 0.9969 2023-12-24 06:46:51,892 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:46:51,898 - pyskl - INFO - mean_acc 0.9146 2023-12-24 06:46:51,900 - pyskl - INFO - Epoch(val) [149][533] top1_acc: 0.9374, top5_acc: 0.9969, mean_class_accuracy: 0.9146 2023-12-24 06:47:55,361 - pyskl - INFO - Epoch [150][100/1281] lr: 2.334e-06, eta: 0:08:12, time: 0.635, data_time: 0.211, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 2023-12-24 06:48:37,391 - pyskl - INFO - Epoch [150][200/1281] lr: 1.956e-06, eta: 0:07:30, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8451, loss: 1.8451 2023-12-24 06:49:19,381 - pyskl - INFO - Epoch [150][300/1281] lr: 1.611e-06, eta: 0:06:48, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 2023-12-24 06:50:02,825 - pyskl - INFO - Epoch [150][400/1281] lr: 1.300e-06, eta: 0:06:07, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8449, loss: 1.8449 2023-12-24 06:50:46,859 - pyskl - INFO - Epoch [150][500/1281] lr: 1.022e-06, eta: 0:05:25, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2023-12-24 06:51:31,153 - pyskl - INFO - Epoch [150][600/1281] lr: 7.771e-07, eta: 0:04:43, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8450, loss: 1.8450 2023-12-24 06:52:14,306 - pyskl - INFO - Epoch [150][700/1281] lr: 5.659e-07, eta: 0:04:02, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 2023-12-24 06:52:57,313 - pyskl - INFO - Epoch [150][800/1281] lr: 3.881e-07, eta: 0:03:20, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 2023-12-24 06:53:39,689 - pyskl - INFO - Epoch [150][900/1281] lr: 2.438e-07, eta: 0:02:38, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 06:54:22,353 - pyskl - INFO - Epoch [150][1000/1281] lr: 1.329e-07, eta: 0:01:57, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8449, loss: 1.8449 2023-12-24 06:55:05,077 - pyskl - INFO - Epoch [150][1100/1281] lr: 5.534e-08, eta: 0:01:15, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 2023-12-24 06:55:46,817 - pyskl - INFO - Epoch [150][1200/1281] lr: 1.123e-08, eta: 0:00:33, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 2023-12-24 06:56:05,329 - pyskl - INFO - Saving checkpoint at 150 epochs 2023-12-24 06:57:01,207 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 06:57:01,288 - pyskl - INFO - top1_acc 0.9359 top5_acc 0.9974 2023-12-24 06:57:01,288 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 06:57:01,297 - pyskl - INFO - mean_acc 0.9109 2023-12-24 06:57:01,300 - pyskl - INFO - Epoch(val) [150][533] top1_acc: 0.9359, top5_acc: 0.9974, mean_class_accuracy: 0.9109 2023-12-24 06:57:06,436 - pyskl - INFO - 8521 videos remain after valid thresholding 2023-12-24 07:07:50,978 - pyskl - INFO - Testing results of the last checkpoint 2023-12-24 07:07:50,979 - pyskl - INFO - top1_acc: 0.9406 2023-12-24 07:07:50,979 - pyskl - INFO - top5_acc: 0.9974 2023-12-24 07:07:50,979 - pyskl - INFO - mean_class_accuracy: 0.9174 2023-12-24 07:07:50,980 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/finegym/jm/best_top1_acc_epoch_133.pth 2023-12-24 07:18:38,603 - pyskl - INFO - Testing results of the best checkpoint 2023-12-24 07:18:38,603 - pyskl - INFO - top1_acc: 0.9407 2023-12-24 07:18:38,603 - pyskl - INFO - top5_acc: 0.9969 2023-12-24 07:18:38,603 - pyskl - INFO - mean_class_accuracy: 0.9178