2023-12-24 08:19:54,794 - 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+ ------------------------------------------------------------ 2023-12-24 08:19:55,153 - pyskl - INFO - Config: modality = 'km' graph = 'coco_new' work_dir = './work_dirs/test_prototype/finegym/km' model = dict( type='RecognizerGCN_7_1_1', backbone=dict( type='GCN_7_1_1', tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], graph_cfg=dict( layout='coco_new', mode='random', num_filter=8, init_off=0.04, init_std=0.02)), cls_head=dict(type='SimpleHead_7_4_11', 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=['km']), 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=['km']), 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=['km']), 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=['km']), 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=['km']), 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=['km']), 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) 2023-12-24 08:19:55,153 - pyskl - INFO - Set random seed to 175110011, deterministic: False 2023-12-24 08:19:56,646 - pyskl - INFO - 20484 videos remain after valid thresholding 2023-12-24 08:20:01,898 - pyskl - INFO - 8521 videos remain after valid thresholding 2023-12-24 08:20:01,899 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_prototype/finegym/km 2023-12-24 08:20:01,899 - 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 -------------------- 2023-12-24 08:20:01,899 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs 2023-12-24 08:20:01,899 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_prototype/finegym/km by HardDiskBackend. 2023-12-24 08:20:47,201 - pyskl - INFO - Epoch [1][100/1281] lr: 2.500e-02, eta: 1 day, 0:09:50, time: 0.453, data_time: 0.213, memory: 4120, top1_acc: 0.0675, top5_acc: 0.2094, loss_cls: 5.2604, loss: 5.2604 2023-12-24 08:21:17,784 - pyskl - INFO - Epoch [1][200/1281] lr: 2.500e-02, eta: 20:13:42, time: 0.306, data_time: 0.001, memory: 4120, top1_acc: 0.0719, top5_acc: 0.2756, loss_cls: 5.2240, loss: 5.2240 2023-12-24 08:22:00,947 - pyskl - INFO - Epoch [1][300/1281] lr: 2.500e-02, eta: 21:08:45, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.0744, top5_acc: 0.3006, loss_cls: 4.8970, loss: 4.8970 2023-12-24 08:22:44,268 - pyskl - INFO - Epoch [1][400/1281] lr: 2.500e-02, eta: 21:37:09, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.0831, top5_acc: 0.3362, loss_cls: 4.8990, loss: 4.8990 2023-12-24 08:23:27,365 - pyskl - INFO - Epoch [1][500/1281] lr: 2.500e-02, eta: 21:52:30, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.1031, top5_acc: 0.3569, loss_cls: 4.9039, loss: 4.9039 2023-12-24 08:24:10,134 - pyskl - INFO - Epoch [1][600/1281] lr: 2.500e-02, eta: 22:00:44, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.1131, top5_acc: 0.3862, loss_cls: 4.8477, loss: 4.8477 2023-12-24 08:24:53,641 - pyskl - INFO - Epoch [1][700/1281] lr: 2.500e-02, eta: 22:09:47, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.1319, top5_acc: 0.4400, loss_cls: 4.6740, loss: 4.6740 2023-12-24 08:25:37,661 - pyskl - INFO - Epoch [1][800/1281] lr: 2.500e-02, eta: 22:18:25, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.1394, top5_acc: 0.4475, loss_cls: 4.6054, loss: 4.6054 2023-12-24 08:26:20,843 - pyskl - INFO - Epoch [1][900/1281] lr: 2.500e-02, eta: 22:22:01, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.1787, top5_acc: 0.5212, loss_cls: 4.3345, loss: 4.3345 2023-12-24 08:27:04,040 - pyskl - INFO - Epoch [1][1000/1281] lr: 2.500e-02, eta: 22:24:48, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.2000, top5_acc: 0.5337, loss_cls: 4.1852, loss: 4.1852 2023-12-24 08:27:47,226 - pyskl - INFO - Epoch [1][1100/1281] lr: 2.500e-02, eta: 22:26:55, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.2319, top5_acc: 0.5500, loss_cls: 4.0381, loss: 4.0381 2023-12-24 08:28:29,921 - pyskl - INFO - Epoch [1][1200/1281] lr: 2.500e-02, eta: 22:27:15, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.2600, top5_acc: 0.6062, loss_cls: 3.6741, loss: 3.6741 2023-12-24 08:29:05,469 - pyskl - INFO - Saving checkpoint at 1 epochs 2023-12-24 08:30:12,990 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 08:30:13,065 - pyskl - INFO - top1_acc 0.2806 top5_acc 0.6403 2023-12-24 08:30:13,065 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 08:30:13,076 - pyskl - INFO - mean_acc 0.1351 2023-12-24 08:30:13,361 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2023-12-24 08:30:13,362 - pyskl - INFO - Best top1_acc is 0.2806 at 1 epoch. 2023-12-24 08:30:13,368 - pyskl - INFO - Epoch(val) [1][533] top1_acc: 0.2806, top5_acc: 0.6403, mean_class_accuracy: 0.1351 2023-12-24 08:31:14,502 - pyskl - INFO - Epoch [2][100/1281] lr: 2.500e-02, eta: 21:50:18, time: 0.611, data_time: 0.244, memory: 4120, top1_acc: 0.2944, top5_acc: 0.6575, loss_cls: 3.3683, loss: 3.3683 2023-12-24 08:31:43,730 - pyskl - INFO - Epoch [2][200/1281] lr: 2.500e-02, eta: 21:23:53, time: 0.292, data_time: 0.001, memory: 4120, top1_acc: 0.3150, top5_acc: 0.6906, loss_cls: 3.1724, loss: 3.1724 2023-12-24 08:32:26,896 - pyskl - INFO - Epoch [2][300/1281] lr: 2.500e-02, eta: 21:28:46, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.3100, top5_acc: 0.7231, loss_cls: 3.0523, loss: 3.0523 2023-12-24 08:33:09,489 - pyskl - INFO - Epoch [2][400/1281] lr: 2.500e-02, eta: 21:31:54, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.3506, top5_acc: 0.7238, loss_cls: 2.9485, loss: 2.9485 2023-12-24 08:33:52,556 - pyskl - INFO - Epoch [2][500/1281] lr: 2.499e-02, eta: 21:35:26, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.3600, top5_acc: 0.7631, loss_cls: 2.7742, loss: 2.7742 2023-12-24 08:34:36,336 - pyskl - INFO - Epoch [2][600/1281] lr: 2.499e-02, eta: 21:39:44, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.3906, top5_acc: 0.7694, loss_cls: 2.6711, loss: 2.6711 2023-12-24 08:35:19,807 - pyskl - INFO - Epoch [2][700/1281] lr: 2.499e-02, eta: 21:43:01, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.3762, top5_acc: 0.7688, loss_cls: 2.6880, loss: 2.6880 2023-12-24 08:36:02,988 - pyskl - INFO - Epoch [2][800/1281] lr: 2.499e-02, eta: 21:45:29, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.4075, top5_acc: 0.8019, loss_cls: 2.4861, loss: 2.4861 2023-12-24 08:36:47,101 - pyskl - INFO - Epoch [2][900/1281] lr: 2.499e-02, eta: 21:49:00, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.4313, top5_acc: 0.8294, loss_cls: 2.3690, loss: 2.3690 2023-12-24 08:37:29,796 - pyskl - INFO - Epoch [2][1000/1281] lr: 2.499e-02, eta: 21:50:11, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.4325, top5_acc: 0.8306, loss_cls: 2.3766, loss: 2.3766 2023-12-24 08:38:12,836 - pyskl - INFO - Epoch [2][1100/1281] lr: 2.499e-02, eta: 21:51:40, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.4263, top5_acc: 0.8356, loss_cls: 2.2837, loss: 2.2837 2023-12-24 08:38:55,991 - pyskl - INFO - Epoch [2][1200/1281] lr: 2.499e-02, eta: 21:53:07, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.4487, top5_acc: 0.8600, loss_cls: 2.2081, loss: 2.2081 2023-12-24 08:39:31,921 - pyskl - INFO - Saving checkpoint at 2 epochs 2023-12-24 08:40:40,285 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 08:40:40,356 - pyskl - INFO - top1_acc 0.4160 top5_acc 0.8361 2023-12-24 08:40:40,356 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 08:40:40,365 - pyskl - INFO - mean_acc 0.2409 2023-12-24 08:40:40,376 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_1.pth was removed 2023-12-24 08:40:40,601 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2023-12-24 08:40:40,601 - pyskl - INFO - Best top1_acc is 0.4160 at 2 epoch. 2023-12-24 08:40:40,605 - pyskl - INFO - Epoch(val) [2][533] top1_acc: 0.4160, top5_acc: 0.8361, mean_class_accuracy: 0.2409 2023-12-24 08:41:42,064 - pyskl - INFO - Epoch [3][100/1281] lr: 2.499e-02, eta: 21:35:35, time: 0.615, data_time: 0.230, memory: 4120, top1_acc: 0.4587, top5_acc: 0.8531, loss_cls: 2.1668, loss: 2.1668 2023-12-24 08:42:10,904 - pyskl - INFO - Epoch [3][200/1281] lr: 2.499e-02, eta: 21:20:58, time: 0.288, data_time: 0.000, memory: 4120, top1_acc: 0.4913, top5_acc: 0.8756, loss_cls: 2.0183, loss: 2.0183 2023-12-24 08:42:54,286 - pyskl - INFO - Epoch [3][300/1281] lr: 2.499e-02, eta: 21:23:23, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.5019, top5_acc: 0.8875, loss_cls: 1.9630, loss: 1.9630 2023-12-24 08:43:37,713 - pyskl - INFO - Epoch [3][400/1281] lr: 2.499e-02, eta: 21:25:37, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.5025, top5_acc: 0.8938, loss_cls: 1.9579, loss: 1.9579 2023-12-24 08:44:20,922 - pyskl - INFO - Epoch [3][500/1281] lr: 2.498e-02, eta: 21:27:27, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.5031, top5_acc: 0.8938, loss_cls: 1.9237, loss: 1.9237 2023-12-24 08:45:05,243 - pyskl - INFO - Epoch [3][600/1281] lr: 2.498e-02, eta: 21:30:13, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.4894, top5_acc: 0.8900, loss_cls: 1.9470, loss: 1.9470 2023-12-24 08:45:47,906 - pyskl - INFO - Epoch [3][700/1281] lr: 2.498e-02, eta: 21:31:11, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.5112, top5_acc: 0.8950, loss_cls: 1.9039, loss: 1.9039 2023-12-24 08:46:30,748 - pyskl - INFO - Epoch [3][800/1281] lr: 2.498e-02, eta: 21:32:12, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.5131, top5_acc: 0.9050, loss_cls: 1.8535, loss: 1.8535 2023-12-24 08:47:13,960 - pyskl - INFO - Epoch [3][900/1281] lr: 2.498e-02, eta: 21:33:28, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.5275, top5_acc: 0.9194, loss_cls: 1.7776, loss: 1.7776 2023-12-24 08:47:57,373 - pyskl - INFO - Epoch [3][1000/1281] lr: 2.498e-02, eta: 21:34:47, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.5206, top5_acc: 0.9056, loss_cls: 1.7849, loss: 1.7849 2023-12-24 08:48:41,137 - pyskl - INFO - Epoch [3][1100/1281] lr: 2.498e-02, eta: 21:36:18, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.5437, top5_acc: 0.9256, loss_cls: 1.7631, loss: 1.7631 2023-12-24 08:49:25,168 - pyskl - INFO - Epoch [3][1200/1281] lr: 2.498e-02, eta: 21:37:56, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.5475, top5_acc: 0.9156, loss_cls: 1.7430, loss: 1.7430 2023-12-24 08:50:00,189 - pyskl - INFO - Saving checkpoint at 3 epochs 2023-12-24 08:51:06,502 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 08:51:06,581 - pyskl - INFO - top1_acc 0.5340 top5_acc 0.9105 2023-12-24 08:51:06,581 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 08:51:06,589 - pyskl - INFO - mean_acc 0.3639 2023-12-24 08:51:06,594 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_2.pth was removed 2023-12-24 08:51:06,871 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2023-12-24 08:51:06,872 - pyskl - INFO - Best top1_acc is 0.5340 at 3 epoch. 2023-12-24 08:51:06,875 - pyskl - INFO - Epoch(val) [3][533] top1_acc: 0.5340, top5_acc: 0.9105, mean_class_accuracy: 0.3639 2023-12-24 08:52:10,668 - pyskl - INFO - Epoch [4][100/1281] lr: 2.497e-02, eta: 21:27:54, time: 0.638, data_time: 0.233, memory: 4120, top1_acc: 0.5700, top5_acc: 0.9400, loss_cls: 1.5976, loss: 1.5976 2023-12-24 08:52:36,110 - pyskl - INFO - Epoch [4][200/1281] lr: 2.497e-02, eta: 21:15:06, time: 0.254, data_time: 0.001, memory: 4120, top1_acc: 0.5775, top5_acc: 0.9331, loss_cls: 1.5624, loss: 1.5624 2023-12-24 08:53:19,727 - pyskl - INFO - Epoch [4][300/1281] lr: 2.497e-02, eta: 21:16:39, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.5687, top5_acc: 0.9200, loss_cls: 1.6406, loss: 1.6406 2023-12-24 08:54:03,112 - pyskl - INFO - Epoch [4][400/1281] lr: 2.497e-02, eta: 21:17:55, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.5856, top5_acc: 0.9444, loss_cls: 1.5456, loss: 1.5456 2023-12-24 08:54:45,634 - pyskl - INFO - Epoch [4][500/1281] lr: 2.497e-02, eta: 21:18:29, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.5444, top5_acc: 0.9287, loss_cls: 1.6455, loss: 1.6455 2023-12-24 08:55:29,130 - pyskl - INFO - Epoch [4][600/1281] lr: 2.497e-02, eta: 21:19:40, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.5775, top5_acc: 0.9375, loss_cls: 1.5591, loss: 1.5591 2023-12-24 08:56:12,520 - pyskl - INFO - Epoch [4][700/1281] lr: 2.497e-02, eta: 21:20:42, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.5856, top5_acc: 0.9431, loss_cls: 1.5764, loss: 1.5764 2023-12-24 08:56:55,978 - pyskl - INFO - Epoch [4][800/1281] lr: 2.496e-02, eta: 21:21:41, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.5913, top5_acc: 0.9463, loss_cls: 1.5050, loss: 1.5050 2023-12-24 08:57:39,170 - pyskl - INFO - Epoch [4][900/1281] lr: 2.496e-02, eta: 21:22:27, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.5944, top5_acc: 0.9513, loss_cls: 1.4643, loss: 1.4643 2023-12-24 08:58:22,270 - pyskl - INFO - Epoch [4][1000/1281] lr: 2.496e-02, eta: 21:23:04, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.5831, top5_acc: 0.9337, loss_cls: 1.6113, loss: 1.6113 2023-12-24 08:59:05,400 - pyskl - INFO - Epoch [4][1100/1281] lr: 2.496e-02, eta: 21:23:40, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.5819, top5_acc: 0.9387, loss_cls: 1.5523, loss: 1.5523 2023-12-24 08:59:48,983 - pyskl - INFO - Epoch [4][1200/1281] lr: 2.496e-02, eta: 21:24:29, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.5931, top5_acc: 0.9481, loss_cls: 1.5132, loss: 1.5132 2023-12-24 09:00:24,912 - pyskl - INFO - Saving checkpoint at 4 epochs 2023-12-24 09:01:38,185 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 09:01:38,248 - pyskl - INFO - top1_acc 0.5619 top5_acc 0.9317 2023-12-24 09:01:38,248 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 09:01:38,263 - pyskl - INFO - mean_acc 0.4260 2023-12-24 09:01:38,274 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_3.pth was removed 2023-12-24 09:01:38,553 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2023-12-24 09:01:38,553 - pyskl - INFO - Best top1_acc is 0.5619 at 4 epoch. 2023-12-24 09:01:38,558 - pyskl - INFO - Epoch(val) [4][533] top1_acc: 0.5619, top5_acc: 0.9317, mean_class_accuracy: 0.4260 2023-12-24 09:02:45,025 - pyskl - INFO - Epoch [5][100/1281] lr: 2.495e-02, eta: 21:18:25, time: 0.665, data_time: 0.226, memory: 4120, top1_acc: 0.6212, top5_acc: 0.9500, loss_cls: 1.4035, loss: 1.4035 2023-12-24 09:03:06,197 - pyskl - INFO - Epoch [5][200/1281] lr: 2.495e-02, eta: 21:06:07, time: 0.212, data_time: 0.000, memory: 4120, top1_acc: 0.6050, top5_acc: 0.9487, loss_cls: 1.4557, loss: 1.4557 2023-12-24 09:03:49,212 - pyskl - INFO - Epoch [5][300/1281] lr: 2.495e-02, eta: 21:06:47, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.6250, top5_acc: 0.9525, loss_cls: 1.3860, loss: 1.3860 2023-12-24 09:04:32,477 - pyskl - INFO - Epoch [5][400/1281] lr: 2.495e-02, eta: 21:07:33, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.6294, top5_acc: 0.9625, loss_cls: 1.3501, loss: 1.3501 2023-12-24 09:05:15,842 - pyskl - INFO - Epoch [5][500/1281] lr: 2.495e-02, eta: 21:08:19, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.6244, top5_acc: 0.9513, loss_cls: 1.3891, loss: 1.3891 2023-12-24 09:05:59,676 - pyskl - INFO - Epoch [5][600/1281] lr: 2.495e-02, eta: 21:09:17, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.6119, top5_acc: 0.9456, loss_cls: 1.4075, loss: 1.4075 2023-12-24 09:06:44,184 - pyskl - INFO - Epoch [5][700/1281] lr: 2.494e-02, eta: 21:10:33, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.6319, top5_acc: 0.9563, loss_cls: 1.3316, loss: 1.3316 2023-12-24 09:07:27,637 - pyskl - INFO - Epoch [5][800/1281] lr: 2.494e-02, eta: 21:11:12, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.6275, top5_acc: 0.9644, loss_cls: 1.3362, loss: 1.3362 2023-12-24 09:08:10,952 - pyskl - INFO - Epoch [5][900/1281] lr: 2.494e-02, eta: 21:11:44, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.6650, top5_acc: 0.9669, loss_cls: 1.2269, loss: 1.2269 2023-12-24 09:08:55,961 - pyskl - INFO - Epoch [5][1000/1281] lr: 2.494e-02, eta: 21:13:05, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.6425, top5_acc: 0.9613, loss_cls: 1.3440, loss: 1.3440 2023-12-24 09:09:41,009 - pyskl - INFO - Epoch [5][1100/1281] lr: 2.494e-02, eta: 21:14:23, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.6562, top5_acc: 0.9600, loss_cls: 1.2653, loss: 1.2653 2023-12-24 09:10:26,217 - pyskl - INFO - Epoch [5][1200/1281] lr: 2.493e-02, eta: 21:15:42, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.6613, top5_acc: 0.9606, loss_cls: 1.2887, loss: 1.2887 2023-12-24 09:11:02,773 - pyskl - INFO - Saving checkpoint at 5 epochs 2023-12-24 09:12:15,921 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 09:12:16,001 - pyskl - INFO - top1_acc 0.6230 top5_acc 0.9536 2023-12-24 09:12:16,001 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 09:12:16,016 - pyskl - INFO - mean_acc 0.4957 2023-12-24 09:12:16,031 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_4.pth was removed 2023-12-24 09:12:16,321 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. 2023-12-24 09:12:16,321 - pyskl - INFO - Best top1_acc is 0.6230 at 5 epoch. 2023-12-24 09:12:16,324 - pyskl - INFO - Epoch(val) [5][533] top1_acc: 0.6230, top5_acc: 0.9536, mean_class_accuracy: 0.4957 2023-12-24 09:13:24,194 - pyskl - INFO - Epoch [6][100/1281] lr: 2.493e-02, eta: 21:11:16, time: 0.679, data_time: 0.227, memory: 4120, top1_acc: 0.6562, top5_acc: 0.9675, loss_cls: 1.2611, loss: 1.2611 2023-12-24 09:13:48,024 - pyskl - INFO - Epoch [6][200/1281] lr: 2.493e-02, eta: 21:02:30, time: 0.238, data_time: 0.001, memory: 4120, top1_acc: 0.7044, top5_acc: 0.9731, loss_cls: 1.1330, loss: 1.1330 2023-12-24 09:14:29,341 - pyskl - INFO - Epoch [6][300/1281] lr: 2.492e-02, eta: 21:02:03, time: 0.413, data_time: 0.001, memory: 4120, top1_acc: 0.6587, top5_acc: 0.9656, loss_cls: 1.2761, loss: 1.2761 2023-12-24 09:15:13,154 - pyskl - INFO - Epoch [6][400/1281] lr: 2.492e-02, eta: 21:02:43, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.6569, top5_acc: 0.9544, loss_cls: 1.3220, loss: 1.3220 2023-12-24 09:15:56,683 - pyskl - INFO - Epoch [6][500/1281] lr: 2.492e-02, eta: 21:03:13, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7006, top5_acc: 0.9706, loss_cls: 1.1585, loss: 1.1585 2023-12-24 09:16:40,753 - pyskl - INFO - Epoch [6][600/1281] lr: 2.492e-02, eta: 21:03:56, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.6725, top5_acc: 0.9600, loss_cls: 1.2287, loss: 1.2287 2023-12-24 09:17:25,732 - pyskl - INFO - Epoch [6][700/1281] lr: 2.492e-02, eta: 21:04:59, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.6737, top5_acc: 0.9650, loss_cls: 1.2122, loss: 1.2122 2023-12-24 09:18:10,659 - pyskl - INFO - Epoch [6][800/1281] lr: 2.491e-02, eta: 21:05:59, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.6675, top5_acc: 0.9625, loss_cls: 1.2586, loss: 1.2586 2023-12-24 09:18:55,696 - pyskl - INFO - Epoch [6][900/1281] lr: 2.491e-02, eta: 21:06:58, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.6681, top5_acc: 0.9675, loss_cls: 1.2251, loss: 1.2251 2023-12-24 09:19:40,088 - pyskl - INFO - Epoch [6][1000/1281] lr: 2.491e-02, eta: 21:07:38, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.6887, top5_acc: 0.9694, loss_cls: 1.1677, loss: 1.1677 2023-12-24 09:20:22,859 - pyskl - INFO - Epoch [6][1100/1281] lr: 2.491e-02, eta: 21:07:36, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.6881, top5_acc: 0.9694, loss_cls: 1.1606, loss: 1.1606 2023-12-24 09:21:05,923 - pyskl - INFO - Epoch [6][1200/1281] lr: 2.490e-02, eta: 21:07:41, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.6844, top5_acc: 0.9744, loss_cls: 1.1725, loss: 1.1725 2023-12-24 09:21:41,937 - pyskl - INFO - Saving checkpoint at 6 epochs 2023-12-24 09:22:59,785 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 09:22:59,859 - pyskl - INFO - top1_acc 0.6195 top5_acc 0.9258 2023-12-24 09:22:59,859 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 09:22:59,871 - pyskl - INFO - mean_acc 0.5008 2023-12-24 09:22:59,877 - pyskl - INFO - Epoch(val) [6][533] top1_acc: 0.6195, top5_acc: 0.9258, mean_class_accuracy: 0.5008 2023-12-24 09:24:07,979 - pyskl - INFO - Epoch [7][100/1281] lr: 2.490e-02, eta: 21:03:52, time: 0.681, data_time: 0.234, memory: 4120, top1_acc: 0.6987, top5_acc: 0.9738, loss_cls: 1.1376, loss: 1.1376 2023-12-24 09:24:33,022 - pyskl - INFO - Epoch [7][200/1281] lr: 2.490e-02, eta: 20:56:55, time: 0.250, data_time: 0.001, memory: 4120, top1_acc: 0.6900, top5_acc: 0.9769, loss_cls: 1.1213, loss: 1.1213 2023-12-24 09:25:15,736 - pyskl - INFO - Epoch [7][300/1281] lr: 2.489e-02, eta: 20:56:55, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.6844, top5_acc: 0.9688, loss_cls: 1.1357, loss: 1.1357 2023-12-24 09:26:00,912 - pyskl - INFO - Epoch [7][400/1281] lr: 2.489e-02, eta: 20:57:50, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.7000, top5_acc: 0.9731, loss_cls: 1.1101, loss: 1.1101 2023-12-24 09:26:45,777 - pyskl - INFO - Epoch [7][500/1281] lr: 2.489e-02, eta: 20:58:36, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.7087, top5_acc: 0.9725, loss_cls: 1.1071, loss: 1.1071 2023-12-24 09:27:30,832 - pyskl - INFO - Epoch [7][600/1281] lr: 2.489e-02, eta: 20:59:24, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.7113, top5_acc: 0.9719, loss_cls: 1.1215, loss: 1.1215 2023-12-24 09:28:15,652 - pyskl - INFO - Epoch [7][700/1281] lr: 2.488e-02, eta: 21:00:04, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.6956, top5_acc: 0.9719, loss_cls: 1.0966, loss: 1.0966 2023-12-24 09:28:59,266 - pyskl - INFO - Epoch [7][800/1281] lr: 2.488e-02, eta: 21:00:17, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.6919, top5_acc: 0.9800, loss_cls: 1.1003, loss: 1.1003 2023-12-24 09:29:42,163 - pyskl - INFO - Epoch [7][900/1281] lr: 2.488e-02, eta: 21:00:12, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7075, top5_acc: 0.9775, loss_cls: 1.0679, loss: 1.0679 2023-12-24 09:30:26,175 - pyskl - INFO - Epoch [7][1000/1281] lr: 2.487e-02, eta: 21:00:31, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.6987, top5_acc: 0.9762, loss_cls: 1.0995, loss: 1.0995 2023-12-24 09:31:09,762 - pyskl - INFO - Epoch [7][1100/1281] lr: 2.487e-02, eta: 21:00:39, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.7069, top5_acc: 0.9762, loss_cls: 1.1130, loss: 1.1130 2023-12-24 09:31:53,002 - pyskl - INFO - Epoch [7][1200/1281] lr: 2.487e-02, eta: 21:00:39, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7050, top5_acc: 0.9694, loss_cls: 1.1101, loss: 1.1101 2023-12-24 09:32:29,209 - pyskl - INFO - Saving checkpoint at 7 epochs 2023-12-24 09:33:43,557 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 09:33:43,636 - pyskl - INFO - top1_acc 0.6817 top5_acc 0.9594 2023-12-24 09:33:43,637 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 09:33:43,652 - pyskl - INFO - mean_acc 0.5762 2023-12-24 09:33:43,659 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_5.pth was removed 2023-12-24 09:33:43,901 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. 2023-12-24 09:33:43,901 - pyskl - INFO - Best top1_acc is 0.6817 at 7 epoch. 2023-12-24 09:33:43,908 - pyskl - INFO - Epoch(val) [7][533] top1_acc: 0.6817, top5_acc: 0.9594, mean_class_accuracy: 0.5762 2023-12-24 09:34:52,978 - pyskl - INFO - Epoch [8][100/1281] lr: 2.486e-02, eta: 20:57:30, time: 0.691, data_time: 0.236, memory: 4120, top1_acc: 0.7194, top5_acc: 0.9769, loss_cls: 1.0141, loss: 1.0141 2023-12-24 09:35:17,750 - pyskl - INFO - Epoch [8][200/1281] lr: 2.486e-02, eta: 20:51:20, time: 0.248, data_time: 0.000, memory: 4120, top1_acc: 0.7244, top5_acc: 0.9794, loss_cls: 1.0313, loss: 1.0313 2023-12-24 09:35:58,416 - pyskl - INFO - Epoch [8][300/1281] lr: 2.486e-02, eta: 20:50:32, time: 0.407, data_time: 0.000, memory: 4120, top1_acc: 0.7219, top5_acc: 0.9844, loss_cls: 1.0285, loss: 1.0285 2023-12-24 09:36:43,338 - pyskl - INFO - Epoch [8][400/1281] lr: 2.485e-02, eta: 20:51:07, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.7019, top5_acc: 0.9744, loss_cls: 1.1081, loss: 1.1081 2023-12-24 09:37:26,276 - pyskl - INFO - Epoch [8][500/1281] lr: 2.485e-02, eta: 20:51:02, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7131, top5_acc: 0.9756, loss_cls: 1.0639, loss: 1.0639 2023-12-24 09:38:09,235 - pyskl - INFO - Epoch [8][600/1281] lr: 2.485e-02, eta: 20:50:57, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7063, top5_acc: 0.9744, loss_cls: 1.0777, loss: 1.0777 2023-12-24 09:38:52,492 - pyskl - INFO - Epoch [8][700/1281] lr: 2.484e-02, eta: 20:50:56, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7425, top5_acc: 0.9775, loss_cls: 0.9797, loss: 0.9797 2023-12-24 09:39:35,906 - pyskl - INFO - Epoch [8][800/1281] lr: 2.484e-02, eta: 20:50:58, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7281, top5_acc: 0.9769, loss_cls: 1.0331, loss: 1.0331 2023-12-24 09:40:19,820 - pyskl - INFO - Epoch [8][900/1281] lr: 2.484e-02, eta: 20:51:07, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.7469, top5_acc: 0.9788, loss_cls: 0.9973, loss: 0.9973 2023-12-24 09:41:04,780 - pyskl - INFO - Epoch [8][1000/1281] lr: 2.483e-02, eta: 20:51:35, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.7181, top5_acc: 0.9769, loss_cls: 1.0306, loss: 1.0306 2023-12-24 09:41:47,676 - pyskl - INFO - Epoch [8][1100/1281] lr: 2.483e-02, eta: 20:51:24, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.7294, top5_acc: 0.9750, loss_cls: 1.0318, loss: 1.0318 2023-12-24 09:42:30,641 - pyskl - INFO - Epoch [8][1200/1281] lr: 2.483e-02, eta: 20:51:14, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.7219, top5_acc: 0.9663, loss_cls: 1.0649, loss: 1.0649 2023-12-24 09:43:06,785 - pyskl - INFO - Saving checkpoint at 8 epochs 2023-12-24 09:44:25,763 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 09:44:25,834 - pyskl - INFO - top1_acc 0.6365 top5_acc 0.9418 2023-12-24 09:44:25,834 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 09:44:25,842 - pyskl - INFO - mean_acc 0.4859 2023-12-24 09:44:25,845 - pyskl - INFO - Epoch(val) [8][533] top1_acc: 0.6365, top5_acc: 0.9418, mean_class_accuracy: 0.4859 2023-12-24 09:45:33,899 - pyskl - INFO - Epoch [9][100/1281] lr: 2.482e-02, eta: 20:48:03, time: 0.680, data_time: 0.227, memory: 4120, top1_acc: 0.7550, top5_acc: 0.9831, loss_cls: 0.9118, loss: 0.9118 2023-12-24 09:46:00,872 - pyskl - INFO - Epoch [9][200/1281] lr: 2.482e-02, eta: 20:43:14, time: 0.270, data_time: 0.001, memory: 4120, top1_acc: 0.7419, top5_acc: 0.9812, loss_cls: 0.9565, loss: 0.9565 2023-12-24 09:46:40,158 - pyskl - INFO - Epoch [9][300/1281] lr: 2.481e-02, eta: 20:42:03, time: 0.393, data_time: 0.000, memory: 4120, top1_acc: 0.7425, top5_acc: 0.9819, loss_cls: 0.9817, loss: 0.9817 2023-12-24 09:47:23,916 - pyskl - INFO - Epoch [9][400/1281] lr: 2.481e-02, eta: 20:42:08, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.7206, top5_acc: 0.9725, loss_cls: 1.0549, loss: 1.0549 2023-12-24 09:48:07,531 - pyskl - INFO - Epoch [9][500/1281] lr: 2.481e-02, eta: 20:42:10, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.7656, top5_acc: 0.9838, loss_cls: 0.9046, loss: 0.9046 2023-12-24 09:48:50,772 - pyskl - INFO - Epoch [9][600/1281] lr: 2.480e-02, eta: 20:42:05, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7350, top5_acc: 0.9788, loss_cls: 0.9979, loss: 0.9979 2023-12-24 09:49:35,517 - pyskl - INFO - Epoch [9][700/1281] lr: 2.480e-02, eta: 20:42:24, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.7606, top5_acc: 0.9812, loss_cls: 0.9600, loss: 0.9600 2023-12-24 09:50:20,022 - pyskl - INFO - Epoch [9][800/1281] lr: 2.480e-02, eta: 20:42:38, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.7350, top5_acc: 0.9788, loss_cls: 0.9748, loss: 0.9748 2023-12-24 09:51:03,682 - pyskl - INFO - Epoch [9][900/1281] lr: 2.479e-02, eta: 20:42:38, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.7438, top5_acc: 0.9769, loss_cls: 0.9555, loss: 0.9555 2023-12-24 09:51:46,996 - pyskl - INFO - Epoch [9][1000/1281] lr: 2.479e-02, eta: 20:42:30, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7556, top5_acc: 0.9819, loss_cls: 0.9398, loss: 0.9398 2023-12-24 09:52:30,424 - pyskl - INFO - Epoch [9][1100/1281] lr: 2.479e-02, eta: 20:42:25, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7450, top5_acc: 0.9812, loss_cls: 0.9643, loss: 0.9643 2023-12-24 09:53:13,920 - pyskl - INFO - Epoch [9][1200/1281] lr: 2.478e-02, eta: 20:42:19, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7550, top5_acc: 0.9731, loss_cls: 0.9666, loss: 0.9666 2023-12-24 09:53:50,215 - pyskl - INFO - Saving checkpoint at 9 epochs 2023-12-24 09:55:07,245 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 09:55:07,303 - pyskl - INFO - top1_acc 0.7161 top5_acc 0.9720 2023-12-24 09:55:07,303 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 09:55:07,311 - pyskl - INFO - mean_acc 0.6046 2023-12-24 09:55:07,316 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_7.pth was removed 2023-12-24 09:55:07,523 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. 2023-12-24 09:55:07,523 - pyskl - INFO - Best top1_acc is 0.7161 at 9 epoch. 2023-12-24 09:55:07,527 - pyskl - INFO - Epoch(val) [9][533] top1_acc: 0.7161, top5_acc: 0.9720, mean_class_accuracy: 0.6046 2023-12-24 09:56:15,886 - pyskl - INFO - Epoch [10][100/1281] lr: 2.477e-02, eta: 20:39:26, time: 0.684, data_time: 0.229, memory: 4120, top1_acc: 0.7550, top5_acc: 0.9850, loss_cls: 0.9286, loss: 0.9286 2023-12-24 09:56:43,637 - pyskl - INFO - Epoch [10][200/1281] lr: 2.477e-02, eta: 20:35:18, time: 0.278, data_time: 0.001, memory: 4120, top1_acc: 0.7544, top5_acc: 0.9881, loss_cls: 0.9337, loss: 0.9337 2023-12-24 09:57:21,842 - pyskl - INFO - Epoch [10][300/1281] lr: 2.477e-02, eta: 20:33:53, time: 0.382, data_time: 0.001, memory: 4120, top1_acc: 0.7369, top5_acc: 0.9762, loss_cls: 0.9786, loss: 0.9786 2023-12-24 09:58:05,512 - pyskl - INFO - Epoch [10][400/1281] lr: 2.476e-02, eta: 20:33:52, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.7481, top5_acc: 0.9819, loss_cls: 0.9207, loss: 0.9207 2023-12-24 09:58:49,043 - pyskl - INFO - Epoch [10][500/1281] lr: 2.476e-02, eta: 20:33:48, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7506, top5_acc: 0.9850, loss_cls: 0.8937, loss: 0.8937 2023-12-24 09:59:32,955 - pyskl - INFO - Epoch [10][600/1281] lr: 2.476e-02, eta: 20:33:48, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.7606, top5_acc: 0.9800, loss_cls: 0.9096, loss: 0.9096 2023-12-24 10:00:16,328 - pyskl - INFO - Epoch [10][700/1281] lr: 2.475e-02, eta: 20:33:40, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7700, top5_acc: 0.9756, loss_cls: 0.9535, loss: 0.9535 2023-12-24 10:00:59,716 - pyskl - INFO - Epoch [10][800/1281] lr: 2.475e-02, eta: 20:33:32, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7625, top5_acc: 0.9862, loss_cls: 0.8902, loss: 0.8902 2023-12-24 10:01:43,015 - pyskl - INFO - Epoch [10][900/1281] lr: 2.474e-02, eta: 20:33:21, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7606, top5_acc: 0.9806, loss_cls: 0.9205, loss: 0.9205 2023-12-24 10:02:26,354 - pyskl - INFO - Epoch [10][1000/1281] lr: 2.474e-02, eta: 20:33:11, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7556, top5_acc: 0.9756, loss_cls: 0.9592, loss: 0.9592 2023-12-24 10:03:10,067 - pyskl - INFO - Epoch [10][1100/1281] lr: 2.473e-02, eta: 20:33:06, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.7594, top5_acc: 0.9769, loss_cls: 0.9360, loss: 0.9360 2023-12-24 10:03:54,516 - pyskl - INFO - Epoch [10][1200/1281] lr: 2.473e-02, eta: 20:33:10, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.7700, top5_acc: 0.9819, loss_cls: 0.8956, loss: 0.8956 2023-12-24 10:04:31,882 - pyskl - INFO - Saving checkpoint at 10 epochs 2023-12-24 10:05:50,408 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 10:05:50,486 - pyskl - INFO - top1_acc 0.5858 top5_acc 0.9176 2023-12-24 10:05:50,487 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 10:05:50,505 - pyskl - INFO - mean_acc 0.5152 2023-12-24 10:05:50,509 - pyskl - INFO - Epoch(val) [10][533] top1_acc: 0.5858, top5_acc: 0.9176, mean_class_accuracy: 0.5152 2023-12-24 10:06:57,465 - pyskl - INFO - Epoch [11][100/1281] lr: 2.472e-02, eta: 20:30:09, time: 0.669, data_time: 0.229, memory: 4120, top1_acc: 0.7669, top5_acc: 0.9850, loss_cls: 0.8864, loss: 0.8864 2023-12-24 10:07:26,497 - pyskl - INFO - Epoch [11][200/1281] lr: 2.472e-02, eta: 20:26:40, time: 0.290, data_time: 0.001, memory: 4120, top1_acc: 0.7981, top5_acc: 0.9875, loss_cls: 0.7715, loss: 0.7715 2023-12-24 10:08:03,757 - pyskl - INFO - Epoch [11][300/1281] lr: 2.471e-02, eta: 20:25:07, time: 0.373, data_time: 0.000, memory: 4120, top1_acc: 0.7675, top5_acc: 0.9862, loss_cls: 0.8780, loss: 0.8780 2023-12-24 10:08:48,819 - pyskl - INFO - Epoch [11][400/1281] lr: 2.471e-02, eta: 20:25:20, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.7581, top5_acc: 0.9888, loss_cls: 0.8814, loss: 0.8814 2023-12-24 10:09:34,002 - pyskl - INFO - Epoch [11][500/1281] lr: 2.471e-02, eta: 20:25:34, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.7306, top5_acc: 0.9838, loss_cls: 0.9432, loss: 0.9432 2023-12-24 10:10:19,167 - pyskl - INFO - Epoch [11][600/1281] lr: 2.470e-02, eta: 20:25:47, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.7631, top5_acc: 0.9850, loss_cls: 0.9096, loss: 0.9096 2023-12-24 10:11:03,261 - pyskl - INFO - Epoch [11][700/1281] lr: 2.470e-02, eta: 20:25:45, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.7431, top5_acc: 0.9769, loss_cls: 0.9419, loss: 0.9419 2023-12-24 10:11:46,361 - pyskl - INFO - Epoch [11][800/1281] lr: 2.469e-02, eta: 20:25:29, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7550, top5_acc: 0.9819, loss_cls: 0.9135, loss: 0.9135 2023-12-24 10:12:29,098 - pyskl - INFO - Epoch [11][900/1281] lr: 2.469e-02, eta: 20:25:08, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7488, top5_acc: 0.9831, loss_cls: 0.9273, loss: 0.9273 2023-12-24 10:13:12,694 - pyskl - INFO - Epoch [11][1000/1281] lr: 2.468e-02, eta: 20:24:58, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.7800, top5_acc: 0.9844, loss_cls: 0.8497, loss: 0.8497 2023-12-24 10:13:56,149 - pyskl - INFO - Epoch [11][1100/1281] lr: 2.468e-02, eta: 20:24:45, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9788, loss_cls: 0.8739, loss: 0.8739 2023-12-24 10:14:39,803 - pyskl - INFO - Epoch [11][1200/1281] lr: 2.467e-02, eta: 20:24:35, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.7644, top5_acc: 0.9762, loss_cls: 0.9230, loss: 0.9230 2023-12-24 10:15:15,798 - pyskl - INFO - Saving checkpoint at 11 epochs 2023-12-24 10:16:34,072 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 10:16:34,127 - pyskl - INFO - top1_acc 0.7185 top5_acc 0.9661 2023-12-24 10:16:34,127 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 10:16:34,135 - pyskl - INFO - mean_acc 0.6204 2023-12-24 10:16:34,139 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_9.pth was removed 2023-12-24 10:16:34,323 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. 2023-12-24 10:16:34,324 - pyskl - INFO - Best top1_acc is 0.7185 at 11 epoch. 2023-12-24 10:16:34,326 - pyskl - INFO - Epoch(val) [11][533] top1_acc: 0.7185, top5_acc: 0.9661, mean_class_accuracy: 0.6204 2023-12-24 10:17:39,832 - pyskl - INFO - Epoch [12][100/1281] lr: 2.467e-02, eta: 20:21:25, time: 0.655, data_time: 0.198, memory: 4120, top1_acc: 0.7700, top5_acc: 0.9825, loss_cls: 0.8704, loss: 0.8704 2023-12-24 10:18:08,599 - pyskl - INFO - Epoch [12][200/1281] lr: 2.466e-02, eta: 20:18:10, time: 0.288, data_time: 0.001, memory: 4120, top1_acc: 0.7837, top5_acc: 0.9875, loss_cls: 0.8191, loss: 0.8191 2023-12-24 10:18:46,814 - pyskl - INFO - Epoch [12][300/1281] lr: 2.466e-02, eta: 20:16:53, time: 0.382, data_time: 0.000, memory: 4120, top1_acc: 0.7762, top5_acc: 0.9838, loss_cls: 0.8418, loss: 0.8418 2023-12-24 10:19:31,858 - pyskl - INFO - Epoch [12][400/1281] lr: 2.465e-02, eta: 20:17:01, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.7600, top5_acc: 0.9875, loss_cls: 0.8775, loss: 0.8775 2023-12-24 10:20:16,040 - pyskl - INFO - Epoch [12][500/1281] lr: 2.465e-02, eta: 20:16:57, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.7644, top5_acc: 0.9825, loss_cls: 0.8962, loss: 0.8962 2023-12-24 10:20:58,954 - pyskl - INFO - Epoch [12][600/1281] lr: 2.464e-02, eta: 20:16:37, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.7794, top5_acc: 0.9838, loss_cls: 0.8635, loss: 0.8635 2023-12-24 10:21:42,035 - pyskl - INFO - Epoch [12][700/1281] lr: 2.464e-02, eta: 20:16:20, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7794, top5_acc: 0.9800, loss_cls: 0.8765, loss: 0.8765 2023-12-24 10:22:25,307 - pyskl - INFO - Epoch [12][800/1281] lr: 2.463e-02, eta: 20:16:04, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7744, top5_acc: 0.9856, loss_cls: 0.8342, loss: 0.8342 2023-12-24 10:23:08,729 - pyskl - INFO - Epoch [12][900/1281] lr: 2.463e-02, eta: 20:15:49, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7606, top5_acc: 0.9825, loss_cls: 0.8849, loss: 0.8849 2023-12-24 10:23:53,706 - pyskl - INFO - Epoch [12][1000/1281] lr: 2.462e-02, eta: 20:15:53, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.7669, top5_acc: 0.9819, loss_cls: 0.8782, loss: 0.8782 2023-12-24 10:24:36,779 - pyskl - INFO - Epoch [12][1100/1281] lr: 2.462e-02, eta: 20:15:33, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7456, top5_acc: 0.9806, loss_cls: 0.9378, loss: 0.9378 2023-12-24 10:25:19,646 - pyskl - INFO - Epoch [12][1200/1281] lr: 2.461e-02, eta: 20:15:11, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7781, top5_acc: 0.9856, loss_cls: 0.8369, loss: 0.8369 2023-12-24 10:25:55,180 - pyskl - INFO - Saving checkpoint at 12 epochs 2023-12-24 10:27:13,741 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 10:27:13,805 - pyskl - INFO - top1_acc 0.7124 top5_acc 0.9732 2023-12-24 10:27:13,806 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 10:27:13,818 - pyskl - INFO - mean_acc 0.6415 2023-12-24 10:27:13,825 - pyskl - INFO - Epoch(val) [12][533] top1_acc: 0.7124, top5_acc: 0.9732, mean_class_accuracy: 0.6415 2023-12-24 10:28:20,373 - pyskl - INFO - Epoch [13][100/1281] lr: 2.460e-02, eta: 20:12:24, time: 0.665, data_time: 0.233, memory: 4120, top1_acc: 0.7919, top5_acc: 0.9888, loss_cls: 0.8162, loss: 0.8162 2023-12-24 10:28:50,315 - pyskl - INFO - Epoch [13][200/1281] lr: 2.460e-02, eta: 20:09:36, time: 0.299, data_time: 0.001, memory: 4120, top1_acc: 0.7831, top5_acc: 0.9869, loss_cls: 0.8418, loss: 0.8418 2023-12-24 10:29:24,789 - pyskl - INFO - Epoch [13][300/1281] lr: 2.459e-02, eta: 20:07:40, time: 0.345, data_time: 0.000, memory: 4120, top1_acc: 0.7900, top5_acc: 0.9844, loss_cls: 0.8035, loss: 0.8035 2023-12-24 10:30:08,047 - pyskl - INFO - Epoch [13][400/1281] lr: 2.459e-02, eta: 20:07:23, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.7744, top5_acc: 0.9781, loss_cls: 0.8738, loss: 0.8738 2023-12-24 10:30:51,403 - pyskl - INFO - Epoch [13][500/1281] lr: 2.458e-02, eta: 20:07:08, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7744, top5_acc: 0.9881, loss_cls: 0.8737, loss: 0.8737 2023-12-24 10:31:34,826 - pyskl - INFO - Epoch [13][600/1281] lr: 2.458e-02, eta: 20:06:52, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7906, top5_acc: 0.9838, loss_cls: 0.8162, loss: 0.8162 2023-12-24 10:32:18,212 - pyskl - INFO - Epoch [13][700/1281] lr: 2.457e-02, eta: 20:06:36, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9925, loss_cls: 0.8052, loss: 0.8052 2023-12-24 10:33:01,470 - pyskl - INFO - Epoch [13][800/1281] lr: 2.457e-02, eta: 20:06:18, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7788, top5_acc: 0.9881, loss_cls: 0.8163, loss: 0.8163 2023-12-24 10:33:44,153 - pyskl - INFO - Epoch [13][900/1281] lr: 2.456e-02, eta: 20:05:54, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.7775, top5_acc: 0.9881, loss_cls: 0.8245, loss: 0.8245 2023-12-24 10:34:28,554 - pyskl - INFO - Epoch [13][1000/1281] lr: 2.455e-02, eta: 20:05:48, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9838, loss_cls: 0.7894, loss: 0.7894 2023-12-24 10:35:13,529 - pyskl - INFO - Epoch [13][1100/1281] lr: 2.455e-02, eta: 20:05:47, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9825, loss_cls: 0.8252, loss: 0.8252 2023-12-24 10:35:58,699 - pyskl - INFO - Epoch [13][1200/1281] lr: 2.454e-02, eta: 20:05:48, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.7725, top5_acc: 0.9812, loss_cls: 0.8543, loss: 0.8543 2023-12-24 10:36:35,950 - pyskl - INFO - Saving checkpoint at 13 epochs 2023-12-24 10:37:53,992 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 10:37:54,058 - pyskl - INFO - top1_acc 0.7390 top5_acc 0.9670 2023-12-24 10:37:54,058 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 10:37:54,066 - pyskl - INFO - mean_acc 0.6821 2023-12-24 10:37:54,071 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_11.pth was removed 2023-12-24 10:37:54,285 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. 2023-12-24 10:37:54,285 - pyskl - INFO - Best top1_acc is 0.7390 at 13 epoch. 2023-12-24 10:37:54,288 - pyskl - INFO - Epoch(val) [13][533] top1_acc: 0.7390, top5_acc: 0.9670, mean_class_accuracy: 0.6821 2023-12-24 10:38:54,320 - pyskl - INFO - Epoch [14][100/1281] lr: 2.453e-02, eta: 20:02:01, time: 0.600, data_time: 0.178, memory: 4120, top1_acc: 0.7963, top5_acc: 0.9869, loss_cls: 0.7667, loss: 0.7667 2023-12-24 10:39:26,149 - pyskl - INFO - Epoch [14][200/1281] lr: 2.453e-02, eta: 19:59:44, time: 0.318, data_time: 0.001, memory: 4120, top1_acc: 0.7800, top5_acc: 0.9881, loss_cls: 0.7974, loss: 0.7974 2023-12-24 10:40:00,012 - pyskl - INFO - Epoch [14][300/1281] lr: 2.452e-02, eta: 19:57:48, time: 0.339, data_time: 0.001, memory: 4120, top1_acc: 0.7850, top5_acc: 0.9862, loss_cls: 0.8071, loss: 0.8071 2023-12-24 10:40:43,479 - pyskl - INFO - Epoch [14][400/1281] lr: 2.452e-02, eta: 19:57:32, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7781, top5_acc: 0.9819, loss_cls: 0.8476, loss: 0.8476 2023-12-24 10:41:27,247 - pyskl - INFO - Epoch [14][500/1281] lr: 2.451e-02, eta: 19:57:19, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.7825, top5_acc: 0.9875, loss_cls: 0.8213, loss: 0.8213 2023-12-24 10:42:10,315 - pyskl - INFO - Epoch [14][600/1281] lr: 2.451e-02, eta: 19:56:58, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8075, top5_acc: 0.9856, loss_cls: 0.7770, loss: 0.7770 2023-12-24 10:42:53,482 - pyskl - INFO - Epoch [14][700/1281] lr: 2.450e-02, eta: 19:56:39, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.7794, top5_acc: 0.9812, loss_cls: 0.8149, loss: 0.8149 2023-12-24 10:43:38,495 - pyskl - INFO - Epoch [14][800/1281] lr: 2.449e-02, eta: 19:56:37, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.7925, top5_acc: 0.9806, loss_cls: 0.8019, loss: 0.8019 2023-12-24 10:44:23,072 - pyskl - INFO - Epoch [14][900/1281] lr: 2.449e-02, eta: 19:56:30, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.7875, top5_acc: 0.9838, loss_cls: 0.7963, loss: 0.7963 2023-12-24 10:45:08,110 - pyskl - INFO - Epoch [14][1000/1281] lr: 2.448e-02, eta: 19:56:28, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.7825, top5_acc: 0.9819, loss_cls: 0.8348, loss: 0.8348 2023-12-24 10:45:53,061 - pyskl - INFO - Epoch [14][1100/1281] lr: 2.448e-02, eta: 19:56:24, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.7738, top5_acc: 0.9794, loss_cls: 0.8460, loss: 0.8460 2023-12-24 10:46:37,000 - pyskl - INFO - Epoch [14][1200/1281] lr: 2.447e-02, eta: 19:56:10, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.7694, top5_acc: 0.9819, loss_cls: 0.8813, loss: 0.8813 2023-12-24 10:47:13,470 - pyskl - INFO - Saving checkpoint at 14 epochs 2023-12-24 10:48:31,080 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 10:48:31,143 - pyskl - INFO - top1_acc 0.7205 top5_acc 0.9684 2023-12-24 10:48:31,144 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 10:48:31,158 - pyskl - INFO - mean_acc 0.6489 2023-12-24 10:48:31,167 - pyskl - INFO - Epoch(val) [14][533] top1_acc: 0.7205, top5_acc: 0.9684, mean_class_accuracy: 0.6489 2023-12-24 10:49:32,689 - pyskl - INFO - Epoch [15][100/1281] lr: 2.446e-02, eta: 19:52:50, time: 0.615, data_time: 0.225, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9875, loss_cls: 0.7868, loss: 0.7868 2023-12-24 10:50:07,317 - pyskl - INFO - Epoch [15][200/1281] lr: 2.445e-02, eta: 19:51:07, time: 0.346, data_time: 0.001, memory: 4120, top1_acc: 0.7987, top5_acc: 0.9875, loss_cls: 0.7597, loss: 0.7597 2023-12-24 10:50:38,013 - pyskl - INFO - Epoch [15][300/1281] lr: 2.445e-02, eta: 19:48:47, time: 0.307, data_time: 0.001, memory: 4120, top1_acc: 0.7919, top5_acc: 0.9869, loss_cls: 0.8026, loss: 0.8026 2023-12-24 10:51:21,014 - pyskl - INFO - Epoch [15][400/1281] lr: 2.444e-02, eta: 19:48:25, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8013, top5_acc: 0.9888, loss_cls: 0.7632, loss: 0.7632 2023-12-24 10:52:04,234 - pyskl - INFO - Epoch [15][500/1281] lr: 2.444e-02, eta: 19:48:04, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9850, loss_cls: 0.7640, loss: 0.7640 2023-12-24 10:52:48,357 - pyskl - INFO - Epoch [15][600/1281] lr: 2.443e-02, eta: 19:47:52, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.7650, top5_acc: 0.9850, loss_cls: 0.8482, loss: 0.8482 2023-12-24 10:53:32,122 - pyskl - INFO - Epoch [15][700/1281] lr: 2.442e-02, eta: 19:47:36, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.7706, top5_acc: 0.9888, loss_cls: 0.8328, loss: 0.8328 2023-12-24 10:54:16,684 - pyskl - INFO - Epoch [15][800/1281] lr: 2.442e-02, eta: 19:47:28, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9838, loss_cls: 0.8504, loss: 0.8504 2023-12-24 10:55:00,878 - pyskl - INFO - Epoch [15][900/1281] lr: 2.441e-02, eta: 19:47:15, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9912, loss_cls: 0.7982, loss: 0.7982 2023-12-24 10:55:44,577 - pyskl - INFO - Epoch [15][1000/1281] lr: 2.441e-02, eta: 19:46:58, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.7931, top5_acc: 0.9862, loss_cls: 0.7502, loss: 0.7502 2023-12-24 10:56:28,781 - pyskl - INFO - Epoch [15][1100/1281] lr: 2.440e-02, eta: 19:46:45, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.7969, top5_acc: 0.9869, loss_cls: 0.7478, loss: 0.7478 2023-12-24 10:57:13,971 - pyskl - INFO - Epoch [15][1200/1281] lr: 2.439e-02, eta: 19:46:40, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.7788, top5_acc: 0.9894, loss_cls: 0.7997, loss: 0.7997 2023-12-24 10:57:51,275 - pyskl - INFO - Saving checkpoint at 15 epochs 2023-12-24 10:59:09,441 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 10:59:09,496 - pyskl - INFO - top1_acc 0.7302 top5_acc 0.9621 2023-12-24 10:59:09,497 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 10:59:09,504 - pyskl - INFO - mean_acc 0.6493 2023-12-24 10:59:09,507 - pyskl - INFO - Epoch(val) [15][533] top1_acc: 0.7302, top5_acc: 0.9621, mean_class_accuracy: 0.6493 2023-12-24 11:00:02,899 - pyskl - INFO - Epoch [16][100/1281] lr: 2.438e-02, eta: 19:42:17, time: 0.534, data_time: 0.179, memory: 4120, top1_acc: 0.7887, top5_acc: 0.9869, loss_cls: 0.7699, loss: 0.7699 2023-12-24 11:00:41,076 - pyskl - INFO - Epoch [16][200/1281] lr: 2.438e-02, eta: 19:41:10, time: 0.382, data_time: 0.001, memory: 4120, top1_acc: 0.7969, top5_acc: 0.9838, loss_cls: 0.7826, loss: 0.7826 2023-12-24 11:01:08,632 - pyskl - INFO - Epoch [16][300/1281] lr: 2.437e-02, eta: 19:38:30, time: 0.276, data_time: 0.001, memory: 4120, top1_acc: 0.7994, top5_acc: 0.9844, loss_cls: 0.7472, loss: 0.7472 2023-12-24 11:01:53,678 - pyskl - INFO - Epoch [16][400/1281] lr: 2.436e-02, eta: 19:38:25, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9862, loss_cls: 0.7647, loss: 0.7647 2023-12-24 11:02:38,539 - pyskl - INFO - Epoch [16][500/1281] lr: 2.436e-02, eta: 19:38:18, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.8087, top5_acc: 0.9944, loss_cls: 0.7211, loss: 0.7211 2023-12-24 11:03:22,511 - pyskl - INFO - Epoch [16][600/1281] lr: 2.435e-02, eta: 19:38:03, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.7944, top5_acc: 0.9881, loss_cls: 0.7406, loss: 0.7406 2023-12-24 11:04:05,993 - pyskl - INFO - Epoch [16][700/1281] lr: 2.434e-02, eta: 19:37:43, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.7869, top5_acc: 0.9838, loss_cls: 0.7902, loss: 0.7902 2023-12-24 11:04:49,446 - pyskl - INFO - Epoch [16][800/1281] lr: 2.434e-02, eta: 19:37:23, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7963, top5_acc: 0.9894, loss_cls: 0.7625, loss: 0.7625 2023-12-24 11:05:33,123 - pyskl - INFO - Epoch [16][900/1281] lr: 2.433e-02, eta: 19:37:05, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.7994, top5_acc: 0.9869, loss_cls: 0.7806, loss: 0.7806 2023-12-24 11:06:16,371 - pyskl - INFO - Epoch [16][1000/1281] lr: 2.432e-02, eta: 19:36:42, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8050, top5_acc: 0.9819, loss_cls: 0.7645, loss: 0.7645 2023-12-24 11:06:59,947 - pyskl - INFO - Epoch [16][1100/1281] lr: 2.432e-02, eta: 19:36:22, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9900, loss_cls: 0.6824, loss: 0.6824 2023-12-24 11:07:43,071 - pyskl - INFO - Epoch [16][1200/1281] lr: 2.431e-02, eta: 19:35:58, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8019, top5_acc: 0.9819, loss_cls: 0.7583, loss: 0.7583 2023-12-24 11:08:18,167 - pyskl - INFO - Saving checkpoint at 16 epochs 2023-12-24 11:09:35,889 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 11:09:35,963 - pyskl - INFO - top1_acc 0.7492 top5_acc 0.9761 2023-12-24 11:09:35,964 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 11:09:35,972 - pyskl - INFO - mean_acc 0.6722 2023-12-24 11:09:35,976 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_13.pth was removed 2023-12-24 11:09:36,251 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. 2023-12-24 11:09:36,251 - pyskl - INFO - Best top1_acc is 0.7492 at 16 epoch. 2023-12-24 11:09:36,255 - pyskl - INFO - Epoch(val) [16][533] top1_acc: 0.7492, top5_acc: 0.9761, mean_class_accuracy: 0.6722 2023-12-24 11:10:31,623 - pyskl - INFO - Epoch [17][100/1281] lr: 2.430e-02, eta: 19:32:06, time: 0.554, data_time: 0.229, memory: 4120, top1_acc: 0.8100, top5_acc: 0.9888, loss_cls: 0.7414, loss: 0.7414 2023-12-24 11:11:13,911 - pyskl - INFO - Epoch [17][200/1281] lr: 2.429e-02, eta: 19:31:36, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.7919, top5_acc: 0.9869, loss_cls: 0.7606, loss: 0.7606 2023-12-24 11:11:36,923 - pyskl - INFO - Epoch [17][300/1281] lr: 2.428e-02, eta: 19:28:26, time: 0.230, data_time: 0.001, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9912, loss_cls: 0.7267, loss: 0.7267 2023-12-24 11:12:19,751 - pyskl - INFO - Epoch [17][400/1281] lr: 2.428e-02, eta: 19:28:01, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9875, loss_cls: 0.7410, loss: 0.7410 2023-12-24 11:13:02,901 - pyskl - INFO - Epoch [17][500/1281] lr: 2.427e-02, eta: 19:27:38, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8075, top5_acc: 0.9869, loss_cls: 0.7084, loss: 0.7084 2023-12-24 11:13:46,188 - pyskl - INFO - Epoch [17][600/1281] lr: 2.426e-02, eta: 19:27:16, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9869, loss_cls: 0.7459, loss: 0.7459 2023-12-24 11:14:29,405 - pyskl - INFO - Epoch [17][700/1281] lr: 2.426e-02, eta: 19:26:54, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9819, loss_cls: 0.7708, loss: 0.7708 2023-12-24 11:15:12,794 - pyskl - INFO - Epoch [17][800/1281] lr: 2.425e-02, eta: 19:26:32, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9881, loss_cls: 0.7464, loss: 0.7464 2023-12-24 11:15:56,091 - pyskl - INFO - Epoch [17][900/1281] lr: 2.424e-02, eta: 19:26:10, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9900, loss_cls: 0.7018, loss: 0.7018 2023-12-24 11:16:38,899 - pyskl - INFO - Epoch [17][1000/1281] lr: 2.424e-02, eta: 19:25:44, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7987, top5_acc: 0.9806, loss_cls: 0.7758, loss: 0.7758 2023-12-24 11:17:21,877 - pyskl - INFO - Epoch [17][1100/1281] lr: 2.423e-02, eta: 19:25:18, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9888, loss_cls: 0.7327, loss: 0.7327 2023-12-24 11:18:05,170 - pyskl - INFO - Epoch [17][1200/1281] lr: 2.422e-02, eta: 19:24:55, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7994, top5_acc: 0.9844, loss_cls: 0.7626, loss: 0.7626 2023-12-24 11:18:41,237 - pyskl - INFO - Saving checkpoint at 17 epochs 2023-12-24 11:19:59,497 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 11:19:59,558 - pyskl - INFO - top1_acc 0.7564 top5_acc 0.9702 2023-12-24 11:19:59,558 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 11:19:59,565 - pyskl - INFO - mean_acc 0.6678 2023-12-24 11:19:59,569 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_16.pth was removed 2023-12-24 11:19:59,822 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. 2023-12-24 11:19:59,822 - pyskl - INFO - Best top1_acc is 0.7564 at 17 epoch. 2023-12-24 11:19:59,825 - pyskl - INFO - Epoch(val) [17][533] top1_acc: 0.7564, top5_acc: 0.9702, mean_class_accuracy: 0.6678 2023-12-24 11:20:49,224 - pyskl - INFO - Epoch [18][100/1281] lr: 2.421e-02, eta: 19:20:28, time: 0.494, data_time: 0.219, memory: 4120, top1_acc: 0.8219, top5_acc: 0.9888, loss_cls: 0.6655, loss: 0.6655 2023-12-24 11:21:34,193 - pyskl - INFO - Epoch [18][200/1281] lr: 2.420e-02, eta: 19:20:19, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9900, loss_cls: 0.6952, loss: 0.6952 2023-12-24 11:21:57,092 - pyskl - INFO - Epoch [18][300/1281] lr: 2.419e-02, eta: 19:17:19, time: 0.229, data_time: 0.001, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9850, loss_cls: 0.7694, loss: 0.7694 2023-12-24 11:22:38,874 - pyskl - INFO - Epoch [18][400/1281] lr: 2.419e-02, eta: 19:16:45, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9856, loss_cls: 0.7178, loss: 0.7178 2023-12-24 11:23:23,951 - pyskl - INFO - Epoch [18][500/1281] lr: 2.418e-02, eta: 19:16:37, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9888, loss_cls: 0.7391, loss: 0.7391 2023-12-24 11:24:08,958 - pyskl - INFO - Epoch [18][600/1281] lr: 2.417e-02, eta: 19:16:27, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.8013, top5_acc: 0.9844, loss_cls: 0.7469, loss: 0.7469 2023-12-24 11:24:52,382 - pyskl - INFO - Epoch [18][700/1281] lr: 2.417e-02, eta: 19:16:06, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9881, loss_cls: 0.7294, loss: 0.7294 2023-12-24 11:25:36,185 - pyskl - INFO - Epoch [18][800/1281] lr: 2.416e-02, eta: 19:15:47, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9894, loss_cls: 0.6803, loss: 0.6803 2023-12-24 11:26:19,224 - pyskl - INFO - Epoch [18][900/1281] lr: 2.415e-02, eta: 19:15:22, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7981, top5_acc: 0.9906, loss_cls: 0.7563, loss: 0.7563 2023-12-24 11:27:03,374 - pyskl - INFO - Epoch [18][1000/1281] lr: 2.414e-02, eta: 19:15:05, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9881, loss_cls: 0.6894, loss: 0.6894 2023-12-24 11:27:48,520 - pyskl - INFO - Epoch [18][1100/1281] lr: 2.414e-02, eta: 19:14:56, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8163, top5_acc: 0.9881, loss_cls: 0.7118, loss: 0.7118 2023-12-24 11:28:33,447 - pyskl - INFO - Epoch [18][1200/1281] lr: 2.413e-02, eta: 19:14:44, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8037, top5_acc: 0.9850, loss_cls: 0.7581, loss: 0.7581 2023-12-24 11:29:09,073 - pyskl - INFO - Saving checkpoint at 18 epochs 2023-12-24 11:30:24,289 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 11:30:24,351 - pyskl - INFO - top1_acc 0.7270 top5_acc 0.9709 2023-12-24 11:30:24,351 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 11:30:24,358 - pyskl - INFO - mean_acc 0.6280 2023-12-24 11:30:24,360 - pyskl - INFO - Epoch(val) [18][533] top1_acc: 0.7270, top5_acc: 0.9709, mean_class_accuracy: 0.6280 2023-12-24 11:31:12,012 - pyskl - INFO - Epoch [19][100/1281] lr: 2.411e-02, eta: 19:10:17, time: 0.476, data_time: 0.229, memory: 4120, top1_acc: 0.8194, top5_acc: 0.9894, loss_cls: 0.7239, loss: 0.7239 2023-12-24 11:31:57,311 - pyskl - INFO - Epoch [19][200/1281] lr: 2.411e-02, eta: 19:10:08, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8150, top5_acc: 0.9869, loss_cls: 0.7028, loss: 0.7028 2023-12-24 11:32:24,500 - pyskl - INFO - Epoch [19][300/1281] lr: 2.410e-02, eta: 19:07:49, time: 0.272, data_time: 0.001, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9900, loss_cls: 0.7147, loss: 0.7147 2023-12-24 11:33:04,464 - pyskl - INFO - Epoch [19][400/1281] lr: 2.409e-02, eta: 19:07:02, time: 0.400, data_time: 0.001, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9875, loss_cls: 0.7154, loss: 0.7154 2023-12-24 11:33:48,688 - pyskl - INFO - Epoch [19][500/1281] lr: 2.408e-02, eta: 19:06:45, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9906, loss_cls: 0.6574, loss: 0.6574 2023-12-24 11:34:32,776 - pyskl - INFO - Epoch [19][600/1281] lr: 2.408e-02, eta: 19:06:28, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.7856, top5_acc: 0.9875, loss_cls: 0.7912, loss: 0.7912 2023-12-24 11:35:17,800 - pyskl - INFO - Epoch [19][700/1281] lr: 2.407e-02, eta: 19:06:17, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9894, loss_cls: 0.7159, loss: 0.7159 2023-12-24 11:36:01,329 - pyskl - INFO - Epoch [19][800/1281] lr: 2.406e-02, eta: 19:05:55, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9862, loss_cls: 0.6717, loss: 0.6717 2023-12-24 11:36:44,685 - pyskl - INFO - Epoch [19][900/1281] lr: 2.405e-02, eta: 19:05:32, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8113, top5_acc: 0.9906, loss_cls: 0.6980, loss: 0.6980 2023-12-24 11:37:29,003 - pyskl - INFO - Epoch [19][1000/1281] lr: 2.405e-02, eta: 19:05:15, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8100, top5_acc: 0.9850, loss_cls: 0.7466, loss: 0.7466 2023-12-24 11:38:13,068 - pyskl - INFO - Epoch [19][1100/1281] lr: 2.404e-02, eta: 19:04:56, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9838, loss_cls: 0.7281, loss: 0.7281 2023-12-24 11:38:57,136 - pyskl - INFO - Epoch [19][1200/1281] lr: 2.403e-02, eta: 19:04:37, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.8206, top5_acc: 0.9856, loss_cls: 0.6951, loss: 0.6951 2023-12-24 11:39:33,685 - pyskl - INFO - Saving checkpoint at 19 epochs 2023-12-24 11:40:52,775 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 11:40:52,841 - pyskl - INFO - top1_acc 0.7428 top5_acc 0.9677 2023-12-24 11:40:52,842 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 11:40:52,857 - pyskl - INFO - mean_acc 0.6190 2023-12-24 11:40:52,861 - pyskl - INFO - Epoch(val) [19][533] top1_acc: 0.7428, top5_acc: 0.9677, mean_class_accuracy: 0.6190 2023-12-24 11:41:39,103 - pyskl - INFO - Epoch [20][100/1281] lr: 2.402e-02, eta: 19:00:12, time: 0.462, data_time: 0.229, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9881, loss_cls: 0.7156, loss: 0.7156 2023-12-24 11:42:24,084 - pyskl - INFO - Epoch [20][200/1281] lr: 2.401e-02, eta: 19:00:00, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9894, loss_cls: 0.6448, loss: 0.6448 2023-12-24 11:42:51,408 - pyskl - INFO - Epoch [20][300/1281] lr: 2.400e-02, eta: 18:57:48, time: 0.273, data_time: 0.000, memory: 4120, top1_acc: 0.8225, top5_acc: 0.9900, loss_cls: 0.6619, loss: 0.6619 2023-12-24 11:43:29,905 - pyskl - INFO - Epoch [20][400/1281] lr: 2.399e-02, eta: 18:56:52, time: 0.385, data_time: 0.001, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9894, loss_cls: 0.7350, loss: 0.7350 2023-12-24 11:44:13,499 - pyskl - INFO - Epoch [20][500/1281] lr: 2.398e-02, eta: 18:56:30, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8131, top5_acc: 0.9894, loss_cls: 0.7480, loss: 0.7480 2023-12-24 11:44:57,784 - pyskl - INFO - Epoch [20][600/1281] lr: 2.398e-02, eta: 18:56:13, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9888, loss_cls: 0.6932, loss: 0.6932 2023-12-24 11:45:42,363 - pyskl - INFO - Epoch [20][700/1281] lr: 2.397e-02, eta: 18:55:58, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8194, top5_acc: 0.9862, loss_cls: 0.6876, loss: 0.6876 2023-12-24 11:46:25,977 - pyskl - INFO - Epoch [20][800/1281] lr: 2.396e-02, eta: 18:55:36, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9888, loss_cls: 0.6971, loss: 0.6971 2023-12-24 11:47:08,852 - pyskl - INFO - Epoch [20][900/1281] lr: 2.395e-02, eta: 18:55:09, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7987, top5_acc: 0.9894, loss_cls: 0.7420, loss: 0.7420 2023-12-24 11:47:52,011 - pyskl - INFO - Epoch [20][1000/1281] lr: 2.394e-02, eta: 18:54:43, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7919, top5_acc: 0.9869, loss_cls: 0.7505, loss: 0.7505 2023-12-24 11:48:35,925 - pyskl - INFO - Epoch [20][1100/1281] lr: 2.393e-02, eta: 18:54:23, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9881, loss_cls: 0.6979, loss: 0.6979 2023-12-24 11:49:19,978 - pyskl - INFO - Epoch [20][1200/1281] lr: 2.393e-02, eta: 18:54:03, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8113, top5_acc: 0.9856, loss_cls: 0.7516, loss: 0.7516 2023-12-24 11:49:57,355 - pyskl - INFO - Saving checkpoint at 20 epochs 2023-12-24 11:51:15,342 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 11:51:15,403 - pyskl - INFO - top1_acc 0.7859 top5_acc 0.9817 2023-12-24 11:51:15,404 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 11:51:15,415 - pyskl - INFO - mean_acc 0.7217 2023-12-24 11:51:15,420 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_17.pth was removed 2023-12-24 11:51:15,614 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. 2023-12-24 11:51:15,614 - pyskl - INFO - Best top1_acc is 0.7859 at 20 epoch. 2023-12-24 11:51:15,617 - pyskl - INFO - Epoch(val) [20][533] top1_acc: 0.7859, top5_acc: 0.9817, mean_class_accuracy: 0.7217 2023-12-24 11:51:58,760 - pyskl - INFO - Epoch [21][100/1281] lr: 2.391e-02, eta: 18:49:30, time: 0.431, data_time: 0.177, memory: 4120, top1_acc: 0.8131, top5_acc: 0.9869, loss_cls: 0.7231, loss: 0.7231 2023-12-24 11:52:42,569 - pyskl - INFO - Epoch [21][200/1281] lr: 2.390e-02, eta: 18:49:09, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9900, loss_cls: 0.6433, loss: 0.6433 2023-12-24 11:53:12,959 - pyskl - INFO - Epoch [21][300/1281] lr: 2.389e-02, eta: 18:47:22, time: 0.304, data_time: 0.000, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9931, loss_cls: 0.6520, loss: 0.6520 2023-12-24 11:53:47,773 - pyskl - INFO - Epoch [21][400/1281] lr: 2.389e-02, eta: 18:46:04, time: 0.348, data_time: 0.001, memory: 4120, top1_acc: 0.8287, top5_acc: 0.9912, loss_cls: 0.6449, loss: 0.6449 2023-12-24 11:54:31,235 - pyskl - INFO - Epoch [21][500/1281] lr: 2.388e-02, eta: 18:45:41, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.8231, top5_acc: 0.9906, loss_cls: 0.6944, loss: 0.6944 2023-12-24 11:55:14,159 - pyskl - INFO - Epoch [21][600/1281] lr: 2.387e-02, eta: 18:45:14, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8031, top5_acc: 0.9869, loss_cls: 0.7359, loss: 0.7359 2023-12-24 11:55:56,932 - pyskl - INFO - Epoch [21][700/1281] lr: 2.386e-02, eta: 18:44:47, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9862, loss_cls: 0.6574, loss: 0.6574 2023-12-24 11:56:40,611 - pyskl - INFO - Epoch [21][800/1281] lr: 2.385e-02, eta: 18:44:25, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9894, loss_cls: 0.6580, loss: 0.6580 2023-12-24 11:57:25,741 - pyskl - INFO - Epoch [21][900/1281] lr: 2.384e-02, eta: 18:44:12, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9888, loss_cls: 0.6797, loss: 0.6797 2023-12-24 11:58:10,834 - pyskl - INFO - Epoch [21][1000/1281] lr: 2.383e-02, eta: 18:43:58, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9881, loss_cls: 0.7583, loss: 0.7583 2023-12-24 11:58:55,308 - pyskl - INFO - Epoch [21][1100/1281] lr: 2.383e-02, eta: 18:43:40, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9894, loss_cls: 0.6219, loss: 0.6219 2023-12-24 11:59:38,516 - pyskl - INFO - Epoch [21][1200/1281] lr: 2.382e-02, eta: 18:43:15, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8144, top5_acc: 0.9906, loss_cls: 0.7047, loss: 0.7047 2023-12-24 12:00:13,872 - pyskl - INFO - Saving checkpoint at 21 epochs 2023-12-24 12:01:31,706 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 12:01:31,763 - pyskl - INFO - top1_acc 0.7599 top5_acc 0.9779 2023-12-24 12:01:31,764 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 12:01:31,774 - pyskl - INFO - mean_acc 0.6712 2023-12-24 12:01:31,785 - pyskl - INFO - Epoch(val) [21][533] top1_acc: 0.7599, top5_acc: 0.9779, mean_class_accuracy: 0.6712 2023-12-24 12:02:22,137 - pyskl - INFO - Epoch [22][100/1281] lr: 2.380e-02, eta: 18:39:38, time: 0.503, data_time: 0.227, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9900, loss_cls: 0.6954, loss: 0.6954 2023-12-24 12:03:02,938 - pyskl - INFO - Epoch [22][200/1281] lr: 2.379e-02, eta: 18:38:58, time: 0.408, data_time: 0.001, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9925, loss_cls: 0.6349, loss: 0.6349 2023-12-24 12:03:35,208 - pyskl - INFO - Epoch [22][300/1281] lr: 2.378e-02, eta: 18:37:26, time: 0.323, data_time: 0.001, memory: 4120, top1_acc: 0.8287, top5_acc: 0.9912, loss_cls: 0.6341, loss: 0.6341 2023-12-24 12:04:07,923 - pyskl - INFO - Epoch [22][400/1281] lr: 2.378e-02, eta: 18:35:57, time: 0.327, data_time: 0.000, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9919, loss_cls: 0.6426, loss: 0.6426 2023-12-24 12:04:51,150 - pyskl - INFO - Epoch [22][500/1281] lr: 2.377e-02, eta: 18:35:32, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8075, top5_acc: 0.9925, loss_cls: 0.7354, loss: 0.7354 2023-12-24 12:05:35,228 - pyskl - INFO - Epoch [22][600/1281] lr: 2.376e-02, eta: 18:35:13, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9931, loss_cls: 0.6721, loss: 0.6721 2023-12-24 12:06:19,523 - pyskl - INFO - Epoch [22][700/1281] lr: 2.375e-02, eta: 18:34:54, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9925, loss_cls: 0.6259, loss: 0.6259 2023-12-24 12:07:02,553 - pyskl - INFO - Epoch [22][800/1281] lr: 2.374e-02, eta: 18:34:27, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8019, top5_acc: 0.9894, loss_cls: 0.7396, loss: 0.7396 2023-12-24 12:07:44,472 - pyskl - INFO - Epoch [22][900/1281] lr: 2.373e-02, eta: 18:33:54, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9894, loss_cls: 0.7034, loss: 0.7034 2023-12-24 12:08:27,258 - pyskl - INFO - Epoch [22][1000/1281] lr: 2.372e-02, eta: 18:33:26, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9906, loss_cls: 0.6926, loss: 0.6926 2023-12-24 12:09:11,349 - pyskl - INFO - Epoch [22][1100/1281] lr: 2.371e-02, eta: 18:33:05, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8194, top5_acc: 0.9856, loss_cls: 0.7224, loss: 0.7224 2023-12-24 12:09:54,502 - pyskl - INFO - Epoch [22][1200/1281] lr: 2.370e-02, eta: 18:32:39, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9925, loss_cls: 0.6699, loss: 0.6699 2023-12-24 12:10:30,897 - pyskl - INFO - Saving checkpoint at 22 epochs 2023-12-24 12:11:46,469 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 12:11:46,523 - pyskl - INFO - top1_acc 0.7943 top5_acc 0.9804 2023-12-24 12:11:46,523 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 12:11:46,531 - pyskl - INFO - mean_acc 0.7240 2023-12-24 12:11:46,535 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_20.pth was removed 2023-12-24 12:11:46,711 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. 2023-12-24 12:11:46,711 - pyskl - INFO - Best top1_acc is 0.7943 at 22 epoch. 2023-12-24 12:11:46,714 - pyskl - INFO - Epoch(val) [22][533] top1_acc: 0.7943, top5_acc: 0.9804, mean_class_accuracy: 0.7240 2023-12-24 12:12:33,537 - pyskl - INFO - Epoch [23][100/1281] lr: 2.369e-02, eta: 18:28:50, time: 0.468, data_time: 0.167, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9919, loss_cls: 0.6424, loss: 0.6424 2023-12-24 12:13:10,926 - pyskl - INFO - Epoch [23][200/1281] lr: 2.368e-02, eta: 18:27:50, time: 0.374, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9925, loss_cls: 0.6273, loss: 0.6273 2023-12-24 12:13:46,384 - pyskl - INFO - Epoch [23][300/1281] lr: 2.367e-02, eta: 18:26:40, time: 0.355, data_time: 0.001, memory: 4120, top1_acc: 0.8075, top5_acc: 0.9844, loss_cls: 0.7364, loss: 0.7364 2023-12-24 12:14:17,052 - pyskl - INFO - Epoch [23][400/1281] lr: 2.366e-02, eta: 18:25:03, time: 0.307, data_time: 0.001, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9888, loss_cls: 0.6157, loss: 0.6157 2023-12-24 12:15:01,032 - pyskl - INFO - Epoch [23][500/1281] lr: 2.365e-02, eta: 18:24:42, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9906, loss_cls: 0.6473, loss: 0.6473 2023-12-24 12:15:43,205 - pyskl - INFO - Epoch [23][600/1281] lr: 2.364e-02, eta: 18:24:11, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9919, loss_cls: 0.6222, loss: 0.6222 2023-12-24 12:16:25,433 - pyskl - INFO - Epoch [23][700/1281] lr: 2.363e-02, eta: 18:23:40, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8163, top5_acc: 0.9919, loss_cls: 0.6632, loss: 0.6632 2023-12-24 12:17:07,826 - pyskl - INFO - Epoch [23][800/1281] lr: 2.362e-02, eta: 18:23:10, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8194, top5_acc: 0.9844, loss_cls: 0.7108, loss: 0.7108 2023-12-24 12:17:50,286 - pyskl - INFO - Epoch [23][900/1281] lr: 2.361e-02, eta: 18:22:40, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9894, loss_cls: 0.6434, loss: 0.6434 2023-12-24 12:18:32,705 - pyskl - INFO - Epoch [23][1000/1281] lr: 2.360e-02, eta: 18:22:09, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9912, loss_cls: 0.6808, loss: 0.6808 2023-12-24 12:19:15,510 - pyskl - INFO - Epoch [23][1100/1281] lr: 2.359e-02, eta: 18:21:41, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9906, loss_cls: 0.6384, loss: 0.6384 2023-12-24 12:19:58,922 - pyskl - INFO - Epoch [23][1200/1281] lr: 2.359e-02, eta: 18:21:16, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9881, loss_cls: 0.6701, loss: 0.6701 2023-12-24 12:20:35,283 - pyskl - INFO - Saving checkpoint at 23 epochs 2023-12-24 12:21:51,564 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 12:21:51,644 - pyskl - INFO - top1_acc 0.7577 top5_acc 0.9723 2023-12-24 12:21:51,644 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 12:21:51,652 - pyskl - INFO - mean_acc 0.6991 2023-12-24 12:21:51,655 - pyskl - INFO - Epoch(val) [23][533] top1_acc: 0.7577, top5_acc: 0.9723, mean_class_accuracy: 0.6991 2023-12-24 12:22:43,368 - pyskl - INFO - Epoch [24][100/1281] lr: 2.357e-02, eta: 18:18:03, time: 0.517, data_time: 0.215, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9894, loss_cls: 0.6139, loss: 0.6139 2023-12-24 12:23:21,995 - pyskl - INFO - Epoch [24][200/1281] lr: 2.356e-02, eta: 18:17:12, time: 0.386, data_time: 0.000, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9912, loss_cls: 0.6482, loss: 0.6482 2023-12-24 12:23:55,337 - pyskl - INFO - Epoch [24][300/1281] lr: 2.355e-02, eta: 18:15:52, time: 0.333, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9900, loss_cls: 0.6160, loss: 0.6160 2023-12-24 12:24:26,760 - pyskl - INFO - Epoch [24][400/1281] lr: 2.354e-02, eta: 18:14:23, time: 0.314, data_time: 0.001, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9875, loss_cls: 0.6553, loss: 0.6553 2023-12-24 12:25:09,170 - pyskl - INFO - Epoch [24][500/1281] lr: 2.353e-02, eta: 18:13:53, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9919, loss_cls: 0.6662, loss: 0.6662 2023-12-24 12:25:51,558 - pyskl - INFO - Epoch [24][600/1281] lr: 2.352e-02, eta: 18:13:23, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9894, loss_cls: 0.6442, loss: 0.6442 2023-12-24 12:26:34,255 - pyskl - INFO - Epoch [24][700/1281] lr: 2.351e-02, eta: 18:12:54, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9900, loss_cls: 0.6487, loss: 0.6487 2023-12-24 12:27:17,057 - pyskl - INFO - Epoch [24][800/1281] lr: 2.350e-02, eta: 18:12:26, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9844, loss_cls: 0.7204, loss: 0.7204 2023-12-24 12:27:59,818 - pyskl - INFO - Epoch [24][900/1281] lr: 2.349e-02, eta: 18:11:58, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8287, top5_acc: 0.9912, loss_cls: 0.6414, loss: 0.6414 2023-12-24 12:28:42,061 - pyskl - INFO - Epoch [24][1000/1281] lr: 2.348e-02, eta: 18:11:26, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9894, loss_cls: 0.7012, loss: 0.7012 2023-12-24 12:29:24,509 - pyskl - INFO - Epoch [24][1100/1281] lr: 2.347e-02, eta: 18:10:56, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9888, loss_cls: 0.6456, loss: 0.6456 2023-12-24 12:30:06,751 - pyskl - INFO - Epoch [24][1200/1281] lr: 2.346e-02, eta: 18:10:25, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9906, loss_cls: 0.6624, loss: 0.6624 2023-12-24 12:30:41,612 - pyskl - INFO - Saving checkpoint at 24 epochs 2023-12-24 12:31:57,092 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 12:31:57,167 - pyskl - INFO - top1_acc 0.7937 top5_acc 0.9831 2023-12-24 12:31:57,167 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 12:31:57,180 - pyskl - INFO - mean_acc 0.7113 2023-12-24 12:31:57,183 - pyskl - INFO - Epoch(val) [24][533] top1_acc: 0.7937, top5_acc: 0.9831, mean_class_accuracy: 0.7113 2023-12-24 12:32:47,599 - pyskl - INFO - Epoch [25][100/1281] lr: 2.344e-02, eta: 18:07:12, time: 0.504, data_time: 0.215, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9925, loss_cls: 0.6765, loss: 0.6765 2023-12-24 12:33:27,523 - pyskl - INFO - Epoch [25][200/1281] lr: 2.343e-02, eta: 18:06:28, time: 0.399, data_time: 0.001, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9900, loss_cls: 0.6602, loss: 0.6602 2023-12-24 12:34:00,235 - pyskl - INFO - Epoch [25][300/1281] lr: 2.342e-02, eta: 18:05:08, time: 0.327, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9906, loss_cls: 0.6065, loss: 0.6065 2023-12-24 12:34:32,245 - pyskl - INFO - Epoch [25][400/1281] lr: 2.341e-02, eta: 18:03:44, time: 0.320, data_time: 0.000, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9950, loss_cls: 0.5934, loss: 0.5934 2023-12-24 12:35:14,331 - pyskl - INFO - Epoch [25][500/1281] lr: 2.340e-02, eta: 18:03:12, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9888, loss_cls: 0.7234, loss: 0.7234 2023-12-24 12:35:56,761 - pyskl - INFO - Epoch [25][600/1281] lr: 2.339e-02, eta: 18:02:42, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9862, loss_cls: 0.6479, loss: 0.6479 2023-12-24 12:36:38,989 - pyskl - INFO - Epoch [25][700/1281] lr: 2.338e-02, eta: 18:02:11, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9894, loss_cls: 0.6383, loss: 0.6383 2023-12-24 12:37:21,233 - pyskl - INFO - Epoch [25][800/1281] lr: 2.337e-02, eta: 18:01:40, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9881, loss_cls: 0.6355, loss: 0.6355 2023-12-24 12:38:03,658 - pyskl - INFO - Epoch [25][900/1281] lr: 2.336e-02, eta: 18:01:10, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9900, loss_cls: 0.6183, loss: 0.6183 2023-12-24 12:38:45,829 - pyskl - INFO - Epoch [25][1000/1281] lr: 2.335e-02, eta: 18:00:39, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9894, loss_cls: 0.6527, loss: 0.6527 2023-12-24 12:39:27,916 - pyskl - INFO - Epoch [25][1100/1281] lr: 2.334e-02, eta: 18:00:07, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8287, top5_acc: 0.9912, loss_cls: 0.6415, loss: 0.6415 2023-12-24 12:40:10,202 - pyskl - INFO - Epoch [25][1200/1281] lr: 2.333e-02, eta: 17:59:35, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9875, loss_cls: 0.6427, loss: 0.6427 2023-12-24 12:40:46,548 - pyskl - INFO - Saving checkpoint at 25 epochs 2023-12-24 12:42:02,411 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 12:42:02,472 - pyskl - INFO - top1_acc 0.7722 top5_acc 0.9761 2023-12-24 12:42:02,472 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 12:42:02,479 - pyskl - INFO - mean_acc 0.7132 2023-12-24 12:42:02,481 - pyskl - INFO - Epoch(val) [25][533] top1_acc: 0.7722, top5_acc: 0.9761, mean_class_accuracy: 0.7132 2023-12-24 12:42:51,933 - pyskl - INFO - Epoch [26][100/1281] lr: 2.332e-02, eta: 17:56:24, time: 0.494, data_time: 0.212, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9925, loss_cls: 0.6026, loss: 0.6026 2023-12-24 12:43:30,348 - pyskl - INFO - Epoch [26][200/1281] lr: 2.330e-02, eta: 17:55:34, time: 0.384, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9931, loss_cls: 0.5968, loss: 0.5968 2023-12-24 12:44:03,834 - pyskl - INFO - Epoch [26][300/1281] lr: 2.329e-02, eta: 17:54:20, time: 0.335, data_time: 0.001, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9906, loss_cls: 0.5841, loss: 0.5841 2023-12-24 12:44:35,213 - pyskl - INFO - Epoch [26][400/1281] lr: 2.328e-02, eta: 17:52:55, time: 0.314, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9944, loss_cls: 0.5800, loss: 0.5800 2023-12-24 12:45:17,610 - pyskl - INFO - Epoch [26][500/1281] lr: 2.327e-02, eta: 17:52:25, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9906, loss_cls: 0.6301, loss: 0.6301 2023-12-24 12:46:00,015 - pyskl - INFO - Epoch [26][600/1281] lr: 2.326e-02, eta: 17:51:55, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9844, loss_cls: 0.6178, loss: 0.6178 2023-12-24 12:46:41,653 - pyskl - INFO - Epoch [26][700/1281] lr: 2.325e-02, eta: 17:51:21, time: 0.416, data_time: 0.001, memory: 4120, top1_acc: 0.8225, top5_acc: 0.9900, loss_cls: 0.7060, loss: 0.7060 2023-12-24 12:47:24,086 - pyskl - INFO - Epoch [26][800/1281] lr: 2.324e-02, eta: 17:50:51, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9850, loss_cls: 0.6840, loss: 0.6840 2023-12-24 12:48:07,014 - pyskl - INFO - Epoch [26][900/1281] lr: 2.323e-02, eta: 17:50:23, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9888, loss_cls: 0.6573, loss: 0.6573 2023-12-24 12:48:49,475 - pyskl - INFO - Epoch [26][1000/1281] lr: 2.322e-02, eta: 17:49:53, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9919, loss_cls: 0.6169, loss: 0.6169 2023-12-24 12:49:32,336 - pyskl - INFO - Epoch [26][1100/1281] lr: 2.321e-02, eta: 17:49:25, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9850, loss_cls: 0.6830, loss: 0.6830 2023-12-24 12:50:14,366 - pyskl - INFO - Epoch [26][1200/1281] lr: 2.320e-02, eta: 17:48:53, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9906, loss_cls: 0.7086, loss: 0.7086 2023-12-24 12:50:49,087 - pyskl - INFO - Saving checkpoint at 26 epochs 2023-12-24 12:52:03,480 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 12:52:03,550 - pyskl - INFO - top1_acc 0.8031 top5_acc 0.9852 2023-12-24 12:52:03,550 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 12:52:03,558 - pyskl - INFO - mean_acc 0.7366 2023-12-24 12:52:03,562 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_22.pth was removed 2023-12-24 12:52:03,806 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. 2023-12-24 12:52:03,806 - pyskl - INFO - Best top1_acc is 0.8031 at 26 epoch. 2023-12-24 12:52:03,809 - pyskl - INFO - Epoch(val) [26][533] top1_acc: 0.8031, top5_acc: 0.9852, mean_class_accuracy: 0.7366 2023-12-24 12:52:55,304 - pyskl - INFO - Epoch [27][100/1281] lr: 2.318e-02, eta: 17:45:57, time: 0.515, data_time: 0.213, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9888, loss_cls: 0.6080, loss: 0.6080 2023-12-24 12:53:32,314 - pyskl - INFO - Epoch [27][200/1281] lr: 2.317e-02, eta: 17:45:01, time: 0.370, data_time: 0.001, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9975, loss_cls: 0.5822, loss: 0.5822 2023-12-24 12:54:06,949 - pyskl - INFO - Epoch [27][300/1281] lr: 2.316e-02, eta: 17:43:55, time: 0.346, data_time: 0.000, memory: 4120, top1_acc: 0.8275, top5_acc: 0.9900, loss_cls: 0.6349, loss: 0.6349 2023-12-24 12:54:38,763 - pyskl - INFO - Epoch [27][400/1281] lr: 2.315e-02, eta: 17:42:35, time: 0.318, data_time: 0.000, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9919, loss_cls: 0.5798, loss: 0.5798 2023-12-24 12:55:22,435 - pyskl - INFO - Epoch [27][500/1281] lr: 2.314e-02, eta: 17:42:10, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9900, loss_cls: 0.5890, loss: 0.5890 2023-12-24 12:56:04,955 - pyskl - INFO - Epoch [27][600/1281] lr: 2.313e-02, eta: 17:41:41, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9912, loss_cls: 0.6408, loss: 0.6408 2023-12-24 12:56:47,266 - pyskl - INFO - Epoch [27][700/1281] lr: 2.312e-02, eta: 17:41:10, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9931, loss_cls: 0.6447, loss: 0.6447 2023-12-24 12:57:29,521 - pyskl - INFO - Epoch [27][800/1281] lr: 2.311e-02, eta: 17:40:39, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9869, loss_cls: 0.6594, loss: 0.6594 2023-12-24 12:58:11,949 - pyskl - INFO - Epoch [27][900/1281] lr: 2.310e-02, eta: 17:40:09, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9900, loss_cls: 0.6577, loss: 0.6577 2023-12-24 12:58:54,684 - pyskl - INFO - Epoch [27][1000/1281] lr: 2.308e-02, eta: 17:39:40, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9912, loss_cls: 0.5865, loss: 0.5865 2023-12-24 12:59:36,948 - pyskl - INFO - Epoch [27][1100/1281] lr: 2.307e-02, eta: 17:39:09, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8294, top5_acc: 0.9900, loss_cls: 0.6614, loss: 0.6614 2023-12-24 13:00:19,255 - pyskl - INFO - Epoch [27][1200/1281] lr: 2.306e-02, eta: 17:38:37, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9925, loss_cls: 0.5818, loss: 0.5818 2023-12-24 13:00:54,274 - pyskl - INFO - Saving checkpoint at 27 epochs 2023-12-24 13:02:07,821 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 13:02:07,881 - pyskl - INFO - top1_acc 0.8095 top5_acc 0.9786 2023-12-24 13:02:07,881 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 13:02:07,894 - pyskl - INFO - mean_acc 0.7584 2023-12-24 13:02:07,904 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_26.pth was removed 2023-12-24 13:02:08,160 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_27.pth. 2023-12-24 13:02:08,161 - pyskl - INFO - Best top1_acc is 0.8095 at 27 epoch. 2023-12-24 13:02:08,166 - pyskl - INFO - Epoch(val) [27][533] top1_acc: 0.8095, top5_acc: 0.9786, mean_class_accuracy: 0.7584 2023-12-24 13:02:59,129 - pyskl - INFO - Epoch [28][100/1281] lr: 2.304e-02, eta: 17:35:45, time: 0.510, data_time: 0.215, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9950, loss_cls: 0.5662, loss: 0.5662 2023-12-24 13:03:37,358 - pyskl - INFO - Epoch [28][200/1281] lr: 2.303e-02, eta: 17:34:56, time: 0.382, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9906, loss_cls: 0.5805, loss: 0.5805 2023-12-24 13:04:11,773 - pyskl - INFO - Epoch [28][300/1281] lr: 2.302e-02, eta: 17:33:49, time: 0.344, data_time: 0.000, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9912, loss_cls: 0.5942, loss: 0.5942 2023-12-24 13:04:40,669 - pyskl - INFO - Epoch [28][400/1281] lr: 2.301e-02, eta: 17:32:18, time: 0.289, data_time: 0.000, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9938, loss_cls: 0.6083, loss: 0.6083 2023-12-24 13:05:22,765 - pyskl - INFO - Epoch [28][500/1281] lr: 2.300e-02, eta: 17:31:47, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9938, loss_cls: 0.6213, loss: 0.6213 2023-12-24 13:06:05,180 - pyskl - INFO - Epoch [28][600/1281] lr: 2.299e-02, eta: 17:31:16, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9894, loss_cls: 0.6158, loss: 0.6158 2023-12-24 13:06:48,277 - pyskl - INFO - Epoch [28][700/1281] lr: 2.298e-02, eta: 17:30:49, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9906, loss_cls: 0.6768, loss: 0.6768 2023-12-24 13:07:31,968 - pyskl - INFO - Epoch [28][800/1281] lr: 2.297e-02, eta: 17:30:24, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9894, loss_cls: 0.6479, loss: 0.6479 2023-12-24 13:08:14,336 - pyskl - INFO - Epoch [28][900/1281] lr: 2.295e-02, eta: 17:29:54, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8381, top5_acc: 0.9894, loss_cls: 0.6165, loss: 0.6165 2023-12-24 13:08:56,070 - pyskl - INFO - Epoch [28][1000/1281] lr: 2.294e-02, eta: 17:29:20, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9944, loss_cls: 0.5962, loss: 0.5962 2023-12-24 13:09:38,251 - pyskl - INFO - Epoch [28][1100/1281] lr: 2.293e-02, eta: 17:28:49, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9912, loss_cls: 0.6502, loss: 0.6502 2023-12-24 13:10:21,080 - pyskl - INFO - Epoch [28][1200/1281] lr: 2.292e-02, eta: 17:28:20, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9900, loss_cls: 0.6165, loss: 0.6165 2023-12-24 13:10:56,608 - pyskl - INFO - Saving checkpoint at 28 epochs 2023-12-24 13:12:12,279 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 13:12:12,334 - pyskl - INFO - top1_acc 0.8068 top5_acc 0.9856 2023-12-24 13:12:12,334 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 13:12:12,340 - pyskl - INFO - mean_acc 0.7315 2023-12-24 13:12:12,342 - pyskl - INFO - Epoch(val) [28][533] top1_acc: 0.8068, top5_acc: 0.9856, mean_class_accuracy: 0.7315 2023-12-24 13:13:02,340 - pyskl - INFO - Epoch [29][100/1281] lr: 2.290e-02, eta: 17:25:28, time: 0.500, data_time: 0.163, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9981, loss_cls: 0.5446, loss: 0.5446 2023-12-24 13:13:36,156 - pyskl - INFO - Epoch [29][200/1281] lr: 2.289e-02, eta: 17:24:20, time: 0.338, data_time: 0.001, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9938, loss_cls: 0.5574, loss: 0.5574 2023-12-24 13:14:14,983 - pyskl - INFO - Epoch [29][300/1281] lr: 2.288e-02, eta: 17:23:34, time: 0.388, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9931, loss_cls: 0.5931, loss: 0.5931 2023-12-24 13:14:41,722 - pyskl - INFO - Epoch [29][400/1281] lr: 2.287e-02, eta: 17:21:57, time: 0.267, data_time: 0.001, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9900, loss_cls: 0.6435, loss: 0.6435 2023-12-24 13:15:25,101 - pyskl - INFO - Epoch [29][500/1281] lr: 2.285e-02, eta: 17:21:31, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9931, loss_cls: 0.5987, loss: 0.5987 2023-12-24 13:16:07,687 - pyskl - INFO - Epoch [29][600/1281] lr: 2.284e-02, eta: 17:21:01, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8381, top5_acc: 0.9950, loss_cls: 0.6146, loss: 0.6146 2023-12-24 13:16:49,666 - pyskl - INFO - Epoch [29][700/1281] lr: 2.283e-02, eta: 17:20:29, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9894, loss_cls: 0.6109, loss: 0.6109 2023-12-24 13:17:32,352 - pyskl - INFO - Epoch [29][800/1281] lr: 2.282e-02, eta: 17:19:59, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9875, loss_cls: 0.6066, loss: 0.6066 2023-12-24 13:18:15,336 - pyskl - INFO - Epoch [29][900/1281] lr: 2.281e-02, eta: 17:19:31, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9912, loss_cls: 0.6349, loss: 0.6349 2023-12-24 13:18:57,743 - pyskl - INFO - Epoch [29][1000/1281] lr: 2.280e-02, eta: 17:19:01, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9912, loss_cls: 0.6502, loss: 0.6502 2023-12-24 13:19:39,784 - pyskl - INFO - Epoch [29][1100/1281] lr: 2.279e-02, eta: 17:18:29, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9975, loss_cls: 0.5474, loss: 0.5474 2023-12-24 13:20:21,966 - pyskl - INFO - Epoch [29][1200/1281] lr: 2.277e-02, eta: 17:17:57, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9869, loss_cls: 0.6541, loss: 0.6541 2023-12-24 13:20:57,145 - pyskl - INFO - Saving checkpoint at 29 epochs 2023-12-24 13:22:13,809 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 13:22:13,871 - pyskl - INFO - top1_acc 0.7924 top5_acc 0.9803 2023-12-24 13:22:13,871 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 13:22:13,884 - pyskl - INFO - mean_acc 0.7348 2023-12-24 13:22:13,891 - pyskl - INFO - Epoch(val) [29][533] top1_acc: 0.7924, top5_acc: 0.9803, mean_class_accuracy: 0.7348 2023-12-24 13:23:07,426 - pyskl - INFO - Epoch [30][100/1281] lr: 2.275e-02, eta: 17:15:25, time: 0.535, data_time: 0.219, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9950, loss_cls: 0.5070, loss: 0.5070 2023-12-24 13:23:41,710 - pyskl - INFO - Epoch [30][200/1281] lr: 2.274e-02, eta: 17:14:20, time: 0.343, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9925, loss_cls: 0.5549, loss: 0.5549 2023-12-24 13:24:18,941 - pyskl - INFO - Epoch [30][300/1281] lr: 2.273e-02, eta: 17:13:28, time: 0.372, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9912, loss_cls: 0.5525, loss: 0.5525 2023-12-24 13:24:48,653 - pyskl - INFO - Epoch [30][400/1281] lr: 2.272e-02, eta: 17:12:06, time: 0.297, data_time: 0.001, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9931, loss_cls: 0.6123, loss: 0.6123 2023-12-24 13:25:32,063 - pyskl - INFO - Epoch [30][500/1281] lr: 2.271e-02, eta: 17:11:39, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9938, loss_cls: 0.5964, loss: 0.5964 2023-12-24 13:26:14,881 - pyskl - INFO - Epoch [30][600/1281] lr: 2.269e-02, eta: 17:11:10, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9906, loss_cls: 0.6089, loss: 0.6089 2023-12-24 13:26:57,109 - pyskl - INFO - Epoch [30][700/1281] lr: 2.268e-02, eta: 17:10:39, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9938, loss_cls: 0.6192, loss: 0.6192 2023-12-24 13:27:39,752 - pyskl - INFO - Epoch [30][800/1281] lr: 2.267e-02, eta: 17:10:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8381, top5_acc: 0.9838, loss_cls: 0.6608, loss: 0.6608 2023-12-24 13:28:22,776 - pyskl - INFO - Epoch [30][900/1281] lr: 2.266e-02, eta: 17:09:41, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9875, loss_cls: 0.5959, loss: 0.5959 2023-12-24 13:29:06,217 - pyskl - INFO - Epoch [30][1000/1281] lr: 2.265e-02, eta: 17:09:15, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9919, loss_cls: 0.5856, loss: 0.5856 2023-12-24 13:29:48,745 - pyskl - INFO - Epoch [30][1100/1281] lr: 2.263e-02, eta: 17:08:44, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9938, loss_cls: 0.6479, loss: 0.6479 2023-12-24 13:30:30,682 - pyskl - INFO - Epoch [30][1200/1281] lr: 2.262e-02, eta: 17:08:12, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9894, loss_cls: 0.6642, loss: 0.6642 2023-12-24 13:31:05,865 - pyskl - INFO - Saving checkpoint at 30 epochs 2023-12-24 13:32:22,771 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 13:32:22,831 - pyskl - INFO - top1_acc 0.7913 top5_acc 0.9827 2023-12-24 13:32:22,832 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 13:32:22,839 - pyskl - INFO - mean_acc 0.7205 2023-12-24 13:32:22,842 - pyskl - INFO - Epoch(val) [30][533] top1_acc: 0.7913, top5_acc: 0.9827, mean_class_accuracy: 0.7205 2023-12-24 13:33:14,641 - pyskl - INFO - Epoch [31][100/1281] lr: 2.260e-02, eta: 17:05:36, time: 0.518, data_time: 0.219, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9938, loss_cls: 0.5286, loss: 0.5286 2023-12-24 13:33:52,058 - pyskl - INFO - Epoch [31][200/1281] lr: 2.259e-02, eta: 17:04:46, time: 0.374, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9931, loss_cls: 0.5237, loss: 0.5237 2023-12-24 13:34:26,167 - pyskl - INFO - Epoch [31][300/1281] lr: 2.258e-02, eta: 17:03:42, time: 0.341, data_time: 0.000, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9931, loss_cls: 0.5751, loss: 0.5751 2023-12-24 13:35:00,479 - pyskl - INFO - Epoch [31][400/1281] lr: 2.256e-02, eta: 17:02:39, time: 0.343, data_time: 0.000, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9969, loss_cls: 0.5751, loss: 0.5751 2023-12-24 13:35:42,707 - pyskl - INFO - Epoch [31][500/1281] lr: 2.255e-02, eta: 17:02:08, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9906, loss_cls: 0.6150, loss: 0.6150 2023-12-24 13:36:25,190 - pyskl - INFO - Epoch [31][600/1281] lr: 2.254e-02, eta: 17:01:38, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9881, loss_cls: 0.6027, loss: 0.6027 2023-12-24 13:37:07,651 - pyskl - INFO - Epoch [31][700/1281] lr: 2.253e-02, eta: 17:01:07, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9850, loss_cls: 0.7391, loss: 0.7391 2023-12-24 13:37:50,406 - pyskl - INFO - Epoch [31][800/1281] lr: 2.252e-02, eta: 17:00:38, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9906, loss_cls: 0.5999, loss: 0.5999 2023-12-24 13:38:32,305 - pyskl - INFO - Epoch [31][900/1281] lr: 2.250e-02, eta: 17:00:05, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9919, loss_cls: 0.5749, loss: 0.5749 2023-12-24 13:39:15,373 - pyskl - INFO - Epoch [31][1000/1281] lr: 2.249e-02, eta: 16:59:36, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9900, loss_cls: 0.6388, loss: 0.6388 2023-12-24 13:39:57,908 - pyskl - INFO - Epoch [31][1100/1281] lr: 2.248e-02, eta: 16:59:06, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9950, loss_cls: 0.6262, loss: 0.6262 2023-12-24 13:40:40,747 - pyskl - INFO - Epoch [31][1200/1281] lr: 2.247e-02, eta: 16:58:36, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9938, loss_cls: 0.6365, loss: 0.6365 2023-12-24 13:41:15,540 - pyskl - INFO - Saving checkpoint at 31 epochs 2023-12-24 13:42:27,128 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 13:42:27,194 - pyskl - INFO - top1_acc 0.7944 top5_acc 0.9854 2023-12-24 13:42:27,194 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 13:42:27,210 - pyskl - INFO - mean_acc 0.7375 2023-12-24 13:42:27,214 - pyskl - INFO - Epoch(val) [31][533] top1_acc: 0.7944, top5_acc: 0.9854, mean_class_accuracy: 0.7375 2023-12-24 13:43:17,096 - pyskl - INFO - Epoch [32][100/1281] lr: 2.244e-02, eta: 16:55:57, time: 0.499, data_time: 0.213, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9912, loss_cls: 0.5915, loss: 0.5915 2023-12-24 13:43:56,494 - pyskl - INFO - Epoch [32][200/1281] lr: 2.243e-02, eta: 16:55:15, time: 0.394, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9944, loss_cls: 0.5195, loss: 0.5195 2023-12-24 13:44:29,240 - pyskl - INFO - Epoch [32][300/1281] lr: 2.242e-02, eta: 16:54:07, time: 0.327, data_time: 0.000, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9931, loss_cls: 0.5435, loss: 0.5435 2023-12-24 13:45:00,107 - pyskl - INFO - Epoch [32][400/1281] lr: 2.241e-02, eta: 16:52:53, time: 0.309, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9944, loss_cls: 0.5783, loss: 0.5783 2023-12-24 13:45:42,321 - pyskl - INFO - Epoch [32][500/1281] lr: 2.239e-02, eta: 16:52:21, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9925, loss_cls: 0.5874, loss: 0.5874 2023-12-24 13:46:25,700 - pyskl - INFO - Epoch [32][600/1281] lr: 2.238e-02, eta: 16:51:54, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9900, loss_cls: 0.5823, loss: 0.5823 2023-12-24 13:47:09,358 - pyskl - INFO - Epoch [32][700/1281] lr: 2.237e-02, eta: 16:51:28, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9900, loss_cls: 0.5663, loss: 0.5663 2023-12-24 13:47:52,417 - pyskl - INFO - Epoch [32][800/1281] lr: 2.236e-02, eta: 16:50:59, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9925, loss_cls: 0.5740, loss: 0.5740 2023-12-24 13:48:34,995 - pyskl - INFO - Epoch [32][900/1281] lr: 2.234e-02, eta: 16:50:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9919, loss_cls: 0.6082, loss: 0.6082 2023-12-24 13:49:16,998 - pyskl - INFO - Epoch [32][1000/1281] lr: 2.233e-02, eta: 16:49:56, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9894, loss_cls: 0.6018, loss: 0.6018 2023-12-24 13:49:59,867 - pyskl - INFO - Epoch [32][1100/1281] lr: 2.232e-02, eta: 16:49:27, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9956, loss_cls: 0.5431, loss: 0.5431 2023-12-24 13:50:43,060 - pyskl - INFO - Epoch [32][1200/1281] lr: 2.231e-02, eta: 16:48:59, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9912, loss_cls: 0.5715, loss: 0.5715 2023-12-24 13:51:18,367 - pyskl - INFO - Saving checkpoint at 32 epochs 2023-12-24 13:52:34,104 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 13:52:34,161 - pyskl - INFO - top1_acc 0.7898 top5_acc 0.9810 2023-12-24 13:52:34,162 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 13:52:34,169 - pyskl - INFO - mean_acc 0.7462 2023-12-24 13:52:34,171 - pyskl - INFO - Epoch(val) [32][533] top1_acc: 0.7898, top5_acc: 0.9810, mean_class_accuracy: 0.7462 2023-12-24 13:53:23,047 - pyskl - INFO - Epoch [33][100/1281] lr: 2.228e-02, eta: 16:46:19, time: 0.489, data_time: 0.162, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9950, loss_cls: 0.5623, loss: 0.5623 2023-12-24 13:53:58,703 - pyskl - INFO - Epoch [33][200/1281] lr: 2.227e-02, eta: 16:45:24, time: 0.357, data_time: 0.000, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9950, loss_cls: 0.5244, loss: 0.5244 2023-12-24 13:54:35,770 - pyskl - INFO - Epoch [33][300/1281] lr: 2.226e-02, eta: 16:44:33, time: 0.371, data_time: 0.001, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9906, loss_cls: 0.5930, loss: 0.5930 2023-12-24 13:55:04,853 - pyskl - INFO - Epoch [33][400/1281] lr: 2.225e-02, eta: 16:43:13, time: 0.291, data_time: 0.001, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9925, loss_cls: 0.6068, loss: 0.6068 2023-12-24 13:55:47,338 - pyskl - INFO - Epoch [33][500/1281] lr: 2.223e-02, eta: 16:42:43, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9912, loss_cls: 0.5892, loss: 0.5892 2023-12-24 13:56:29,094 - pyskl - INFO - Epoch [33][600/1281] lr: 2.222e-02, eta: 16:42:10, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9912, loss_cls: 0.5473, loss: 0.5473 2023-12-24 13:57:11,378 - pyskl - INFO - Epoch [33][700/1281] lr: 2.221e-02, eta: 16:41:38, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9938, loss_cls: 0.5835, loss: 0.5835 2023-12-24 13:57:53,655 - pyskl - INFO - Epoch [33][800/1281] lr: 2.219e-02, eta: 16:41:06, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9956, loss_cls: 0.5109, loss: 0.5109 2023-12-24 13:58:35,999 - pyskl - INFO - Epoch [33][900/1281] lr: 2.218e-02, eta: 16:40:35, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9900, loss_cls: 0.6124, loss: 0.6124 2023-12-24 13:59:18,375 - pyskl - INFO - Epoch [33][1000/1281] lr: 2.217e-02, eta: 16:40:04, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9900, loss_cls: 0.5830, loss: 0.5830 2023-12-24 14:00:00,305 - pyskl - INFO - Epoch [33][1100/1281] lr: 2.216e-02, eta: 16:39:31, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9919, loss_cls: 0.5455, loss: 0.5455 2023-12-24 14:00:42,594 - pyskl - INFO - Epoch [33][1200/1281] lr: 2.214e-02, eta: 16:38:59, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9906, loss_cls: 0.6066, loss: 0.6066 2023-12-24 14:01:17,511 - pyskl - INFO - Saving checkpoint at 33 epochs 2023-12-24 14:02:34,544 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 14:02:34,607 - pyskl - INFO - top1_acc 0.6775 top5_acc 0.9412 2023-12-24 14:02:34,607 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 14:02:34,617 - pyskl - INFO - mean_acc 0.5924 2023-12-24 14:02:34,622 - pyskl - INFO - Epoch(val) [33][533] top1_acc: 0.6775, top5_acc: 0.9412, mean_class_accuracy: 0.5924 2023-12-24 14:03:25,241 - pyskl - INFO - Epoch [34][100/1281] lr: 2.212e-02, eta: 16:36:30, time: 0.506, data_time: 0.219, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9931, loss_cls: 0.5669, loss: 0.5669 2023-12-24 14:04:04,818 - pyskl - INFO - Epoch [34][200/1281] lr: 2.211e-02, eta: 16:35:49, time: 0.396, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9888, loss_cls: 0.5932, loss: 0.5932 2023-12-24 14:04:37,140 - pyskl - INFO - Epoch [34][300/1281] lr: 2.209e-02, eta: 16:34:42, time: 0.323, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9900, loss_cls: 0.5503, loss: 0.5503 2023-12-24 14:05:09,407 - pyskl - INFO - Epoch [34][400/1281] lr: 2.208e-02, eta: 16:33:36, time: 0.323, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9925, loss_cls: 0.5119, loss: 0.5119 2023-12-24 14:05:51,820 - pyskl - INFO - Epoch [34][500/1281] lr: 2.207e-02, eta: 16:33:05, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9944, loss_cls: 0.5666, loss: 0.5666 2023-12-24 14:06:34,680 - pyskl - INFO - Epoch [34][600/1281] lr: 2.205e-02, eta: 16:32:35, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9938, loss_cls: 0.5385, loss: 0.5385 2023-12-24 14:07:17,586 - pyskl - INFO - Epoch [34][700/1281] lr: 2.204e-02, eta: 16:32:06, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9944, loss_cls: 0.5789, loss: 0.5789 2023-12-24 14:08:00,004 - pyskl - INFO - Epoch [34][800/1281] lr: 2.203e-02, eta: 16:31:34, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9862, loss_cls: 0.6006, loss: 0.6006 2023-12-24 14:08:42,412 - pyskl - INFO - Epoch [34][900/1281] lr: 2.201e-02, eta: 16:31:03, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9919, loss_cls: 0.6086, loss: 0.6086 2023-12-24 14:09:24,877 - pyskl - INFO - Epoch [34][1000/1281] lr: 2.200e-02, eta: 16:30:32, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9938, loss_cls: 0.6186, loss: 0.6186 2023-12-24 14:10:07,294 - pyskl - INFO - Epoch [34][1100/1281] lr: 2.199e-02, eta: 16:30:01, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9925, loss_cls: 0.5502, loss: 0.5502 2023-12-24 14:10:49,339 - pyskl - INFO - Epoch [34][1200/1281] lr: 2.197e-02, eta: 16:29:28, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9931, loss_cls: 0.5630, loss: 0.5630 2023-12-24 14:11:24,286 - pyskl - INFO - Saving checkpoint at 34 epochs 2023-12-24 14:12:41,334 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 14:12:41,393 - pyskl - INFO - top1_acc 0.8161 top5_acc 0.9859 2023-12-24 14:12:41,394 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 14:12:41,405 - pyskl - INFO - mean_acc 0.7470 2023-12-24 14:12:41,417 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_27.pth was removed 2023-12-24 14:12:41,677 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_34.pth. 2023-12-24 14:12:41,677 - pyskl - INFO - Best top1_acc is 0.8161 at 34 epoch. 2023-12-24 14:12:41,684 - pyskl - INFO - Epoch(val) [34][533] top1_acc: 0.8161, top5_acc: 0.9859, mean_class_accuracy: 0.7470 2023-12-24 14:13:29,854 - pyskl - INFO - Epoch [35][100/1281] lr: 2.195e-02, eta: 16:26:54, time: 0.482, data_time: 0.217, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9962, loss_cls: 0.5487, loss: 0.5487 2023-12-24 14:14:10,862 - pyskl - INFO - Epoch [35][200/1281] lr: 2.194e-02, eta: 16:26:17, time: 0.410, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9925, loss_cls: 0.4821, loss: 0.4821 2023-12-24 14:14:40,998 - pyskl - INFO - Epoch [35][300/1281] lr: 2.192e-02, eta: 16:25:05, time: 0.301, data_time: 0.000, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9938, loss_cls: 0.4930, loss: 0.4930 2023-12-24 14:15:17,626 - pyskl - INFO - Epoch [35][400/1281] lr: 2.191e-02, eta: 16:24:14, time: 0.366, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9962, loss_cls: 0.5834, loss: 0.5834 2023-12-24 14:16:00,205 - pyskl - INFO - Epoch [35][500/1281] lr: 2.190e-02, eta: 16:23:43, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9894, loss_cls: 0.5764, loss: 0.5764 2023-12-24 14:16:43,806 - pyskl - INFO - Epoch [35][600/1281] lr: 2.188e-02, eta: 16:23:16, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9956, loss_cls: 0.5156, loss: 0.5156 2023-12-24 14:17:26,467 - pyskl - INFO - Epoch [35][700/1281] lr: 2.187e-02, eta: 16:22:45, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9900, loss_cls: 0.5637, loss: 0.5637 2023-12-24 14:18:08,718 - pyskl - INFO - Epoch [35][800/1281] lr: 2.185e-02, eta: 16:22:13, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9938, loss_cls: 0.5465, loss: 0.5465 2023-12-24 14:18:51,219 - pyskl - INFO - Epoch [35][900/1281] lr: 2.184e-02, eta: 16:21:42, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9912, loss_cls: 0.5769, loss: 0.5769 2023-12-24 14:19:34,583 - pyskl - INFO - Epoch [35][1000/1281] lr: 2.183e-02, eta: 16:21:14, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9900, loss_cls: 0.6222, loss: 0.6222 2023-12-24 14:20:17,644 - pyskl - INFO - Epoch [35][1100/1281] lr: 2.181e-02, eta: 16:20:45, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9919, loss_cls: 0.5737, loss: 0.5737 2023-12-24 14:21:00,017 - pyskl - INFO - Epoch [35][1200/1281] lr: 2.180e-02, eta: 16:20:13, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9906, loss_cls: 0.6165, loss: 0.6165 2023-12-24 14:21:34,551 - pyskl - INFO - Saving checkpoint at 35 epochs 2023-12-24 14:22:45,590 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 14:22:45,647 - pyskl - INFO - top1_acc 0.8237 top5_acc 0.9846 2023-12-24 14:22:45,647 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 14:22:45,655 - pyskl - INFO - mean_acc 0.7763 2023-12-24 14:22:45,659 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_34.pth was removed 2023-12-24 14:22:45,928 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth. 2023-12-24 14:22:45,928 - pyskl - INFO - Best top1_acc is 0.8237 at 35 epoch. 2023-12-24 14:22:45,931 - pyskl - INFO - Epoch(val) [35][533] top1_acc: 0.8237, top5_acc: 0.9846, mean_class_accuracy: 0.7763 2023-12-24 14:23:33,586 - pyskl - INFO - Epoch [36][100/1281] lr: 2.178e-02, eta: 16:17:40, time: 0.476, data_time: 0.216, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9906, loss_cls: 0.5590, loss: 0.5590 2023-12-24 14:24:15,457 - pyskl - INFO - Epoch [36][200/1281] lr: 2.176e-02, eta: 16:17:07, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9944, loss_cls: 0.4914, loss: 0.4914 2023-12-24 14:24:46,184 - pyskl - INFO - Epoch [36][300/1281] lr: 2.175e-02, eta: 16:15:57, time: 0.307, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9938, loss_cls: 0.5154, loss: 0.5154 2023-12-24 14:25:23,499 - pyskl - INFO - Epoch [36][400/1281] lr: 2.173e-02, eta: 16:15:09, time: 0.373, data_time: 0.000, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9912, loss_cls: 0.5440, loss: 0.5440 2023-12-24 14:26:06,160 - pyskl - INFO - Epoch [36][500/1281] lr: 2.172e-02, eta: 16:14:39, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9875, loss_cls: 0.5912, loss: 0.5912 2023-12-24 14:26:49,614 - pyskl - INFO - Epoch [36][600/1281] lr: 2.171e-02, eta: 16:14:10, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9925, loss_cls: 0.5213, loss: 0.5213 2023-12-24 14:27:32,766 - pyskl - INFO - Epoch [36][700/1281] lr: 2.169e-02, eta: 16:13:41, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9906, loss_cls: 0.5922, loss: 0.5922 2023-12-24 14:28:15,535 - pyskl - INFO - Epoch [36][800/1281] lr: 2.168e-02, eta: 16:13:11, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9950, loss_cls: 0.5446, loss: 0.5446 2023-12-24 14:28:58,034 - pyskl - INFO - Epoch [36][900/1281] lr: 2.167e-02, eta: 16:12:39, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9938, loss_cls: 0.5552, loss: 0.5552 2023-12-24 14:29:39,765 - pyskl - INFO - Epoch [36][1000/1281] lr: 2.165e-02, eta: 16:12:06, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9931, loss_cls: 0.5747, loss: 0.5747 2023-12-24 14:30:22,552 - pyskl - INFO - Epoch [36][1100/1281] lr: 2.164e-02, eta: 16:11:35, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9881, loss_cls: 0.5452, loss: 0.5452 2023-12-24 14:31:05,854 - pyskl - INFO - Epoch [36][1200/1281] lr: 2.162e-02, eta: 16:11:06, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9956, loss_cls: 0.5001, loss: 0.5001 2023-12-24 14:31:41,553 - pyskl - INFO - Saving checkpoint at 36 epochs 2023-12-24 14:32:54,737 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 14:32:54,799 - pyskl - INFO - top1_acc 0.8352 top5_acc 0.9883 2023-12-24 14:32:54,799 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 14:32:54,805 - pyskl - INFO - mean_acc 0.7738 2023-12-24 14:32:54,810 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_35.pth was removed 2023-12-24 14:32:55,007 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. 2023-12-24 14:32:55,007 - pyskl - INFO - Best top1_acc is 0.8352 at 36 epoch. 2023-12-24 14:32:55,010 - pyskl - INFO - Epoch(val) [36][533] top1_acc: 0.8352, top5_acc: 0.9883, mean_class_accuracy: 0.7738 2023-12-24 14:33:39,014 - pyskl - INFO - Epoch [37][100/1281] lr: 2.160e-02, eta: 16:08:25, time: 0.440, data_time: 0.194, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9931, loss_cls: 0.5097, loss: 0.5097 2023-12-24 14:34:21,662 - pyskl - INFO - Epoch [37][200/1281] lr: 2.158e-02, eta: 16:07:54, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9950, loss_cls: 0.4987, loss: 0.4987 2023-12-24 14:34:51,476 - pyskl - INFO - Epoch [37][300/1281] lr: 2.157e-02, eta: 16:06:43, time: 0.298, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9944, loss_cls: 0.5489, loss: 0.5489 2023-12-24 14:35:27,474 - pyskl - INFO - Epoch [37][400/1281] lr: 2.156e-02, eta: 16:05:51, time: 0.360, data_time: 0.000, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9938, loss_cls: 0.5088, loss: 0.5088 2023-12-24 14:36:10,162 - pyskl - INFO - Epoch [37][500/1281] lr: 2.154e-02, eta: 16:05:20, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9944, loss_cls: 0.5171, loss: 0.5171 2023-12-24 14:36:54,003 - pyskl - INFO - Epoch [37][600/1281] lr: 2.153e-02, eta: 16:04:53, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9938, loss_cls: 0.5367, loss: 0.5367 2023-12-24 14:37:38,055 - pyskl - INFO - Epoch [37][700/1281] lr: 2.151e-02, eta: 16:04:26, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9912, loss_cls: 0.5260, loss: 0.5260 2023-12-24 14:38:22,329 - pyskl - INFO - Epoch [37][800/1281] lr: 2.150e-02, eta: 16:04:00, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9925, loss_cls: 0.5062, loss: 0.5062 2023-12-24 14:39:05,538 - pyskl - INFO - Epoch [37][900/1281] lr: 2.149e-02, eta: 16:03:31, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9944, loss_cls: 0.5559, loss: 0.5559 2023-12-24 14:39:48,644 - pyskl - INFO - Epoch [37][1000/1281] lr: 2.147e-02, eta: 16:03:01, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9919, loss_cls: 0.5311, loss: 0.5311 2023-12-24 14:40:32,199 - pyskl - INFO - Epoch [37][1100/1281] lr: 2.146e-02, eta: 16:02:33, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9981, loss_cls: 0.5676, loss: 0.5676 2023-12-24 14:41:17,081 - pyskl - INFO - Epoch [37][1200/1281] lr: 2.144e-02, eta: 16:02:08, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8500, top5_acc: 0.9888, loss_cls: 0.6031, loss: 0.6031 2023-12-24 14:41:53,029 - pyskl - INFO - Saving checkpoint at 37 epochs 2023-12-24 14:43:12,882 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 14:43:12,942 - pyskl - INFO - top1_acc 0.7822 top5_acc 0.9796 2023-12-24 14:43:12,943 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 14:43:12,952 - pyskl - INFO - mean_acc 0.7297 2023-12-24 14:43:12,955 - pyskl - INFO - Epoch(val) [37][533] top1_acc: 0.7822, top5_acc: 0.9796, mean_class_accuracy: 0.7297 2023-12-24 14:43:58,044 - pyskl - INFO - Epoch [38][100/1281] lr: 2.142e-02, eta: 15:59:34, time: 0.451, data_time: 0.205, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9956, loss_cls: 0.5861, loss: 0.5861 2023-12-24 14:44:43,746 - pyskl - INFO - Epoch [38][200/1281] lr: 2.140e-02, eta: 15:59:12, time: 0.457, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9925, loss_cls: 0.4908, loss: 0.4908 2023-12-24 14:45:12,044 - pyskl - INFO - Epoch [38][300/1281] lr: 2.139e-02, eta: 15:57:57, time: 0.283, data_time: 0.001, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9944, loss_cls: 0.5527, loss: 0.5527 2023-12-24 14:45:49,651 - pyskl - INFO - Epoch [38][400/1281] lr: 2.137e-02, eta: 15:57:11, time: 0.376, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9956, loss_cls: 0.5282, loss: 0.5282 2023-12-24 14:46:33,059 - pyskl - INFO - Epoch [38][500/1281] lr: 2.136e-02, eta: 15:56:42, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9894, loss_cls: 0.5671, loss: 0.5671 2023-12-24 14:47:16,517 - pyskl - INFO - Epoch [38][600/1281] lr: 2.134e-02, eta: 15:56:13, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9944, loss_cls: 0.4952, loss: 0.4952 2023-12-24 14:48:01,090 - pyskl - INFO - Epoch [38][700/1281] lr: 2.133e-02, eta: 15:55:48, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9944, loss_cls: 0.5405, loss: 0.5405 2023-12-24 14:48:45,866 - pyskl - INFO - Epoch [38][800/1281] lr: 2.132e-02, eta: 15:55:23, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9925, loss_cls: 0.5330, loss: 0.5330 2023-12-24 14:49:30,937 - pyskl - INFO - Epoch [38][900/1281] lr: 2.130e-02, eta: 15:54:58, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9900, loss_cls: 0.5303, loss: 0.5303 2023-12-24 14:50:16,127 - pyskl - INFO - Epoch [38][1000/1281] lr: 2.129e-02, eta: 15:54:34, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9925, loss_cls: 0.5390, loss: 0.5390 2023-12-24 14:51:00,493 - pyskl - INFO - Epoch [38][1100/1281] lr: 2.127e-02, eta: 15:54:08, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9906, loss_cls: 0.6076, loss: 0.6076 2023-12-24 14:51:43,275 - pyskl - INFO - Epoch [38][1200/1281] lr: 2.126e-02, eta: 15:53:37, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9925, loss_cls: 0.5246, loss: 0.5246 2023-12-24 14:52:19,231 - pyskl - INFO - Saving checkpoint at 38 epochs 2023-12-24 14:53:37,220 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 14:53:37,287 - pyskl - INFO - top1_acc 0.7988 top5_acc 0.9758 2023-12-24 14:53:37,287 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 14:53:37,295 - pyskl - INFO - mean_acc 0.7198 2023-12-24 14:53:37,298 - pyskl - INFO - Epoch(val) [38][533] top1_acc: 0.7988, top5_acc: 0.9758, mean_class_accuracy: 0.7198 2023-12-24 14:54:25,793 - pyskl - INFO - Epoch [39][100/1281] lr: 2.123e-02, eta: 15:51:15, time: 0.485, data_time: 0.236, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9919, loss_cls: 0.5055, loss: 0.5055 2023-12-24 14:55:11,187 - pyskl - INFO - Epoch [39][200/1281] lr: 2.122e-02, eta: 15:50:52, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9956, loss_cls: 0.5738, loss: 0.5738 2023-12-24 14:55:37,696 - pyskl - INFO - Epoch [39][300/1281] lr: 2.120e-02, eta: 15:49:33, time: 0.265, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9944, loss_cls: 0.5037, loss: 0.5037 2023-12-24 14:56:18,041 - pyskl - INFO - Epoch [39][400/1281] lr: 2.119e-02, eta: 15:48:55, time: 0.403, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9956, loss_cls: 0.4947, loss: 0.4947 2023-12-24 14:57:01,339 - pyskl - INFO - Epoch [39][500/1281] lr: 2.117e-02, eta: 15:48:25, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9919, loss_cls: 0.5616, loss: 0.5616 2023-12-24 14:57:44,386 - pyskl - INFO - Epoch [39][600/1281] lr: 2.116e-02, eta: 15:47:55, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9950, loss_cls: 0.5009, loss: 0.5009 2023-12-24 14:58:27,806 - pyskl - INFO - Epoch [39][700/1281] lr: 2.114e-02, eta: 15:47:25, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9969, loss_cls: 0.5146, loss: 0.5146 2023-12-24 14:59:10,970 - pyskl - INFO - Epoch [39][800/1281] lr: 2.113e-02, eta: 15:46:55, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9944, loss_cls: 0.5075, loss: 0.5075 2023-12-24 14:59:53,811 - pyskl - INFO - Epoch [39][900/1281] lr: 2.111e-02, eta: 15:46:24, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9956, loss_cls: 0.5022, loss: 0.5022 2023-12-24 15:00:37,215 - pyskl - INFO - Epoch [39][1000/1281] lr: 2.110e-02, eta: 15:45:55, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9900, loss_cls: 0.5732, loss: 0.5732 2023-12-24 15:01:20,449 - pyskl - INFO - Epoch [39][1100/1281] lr: 2.108e-02, eta: 15:45:24, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9900, loss_cls: 0.5798, loss: 0.5798 2023-12-24 15:02:04,219 - pyskl - INFO - Epoch [39][1200/1281] lr: 2.107e-02, eta: 15:44:56, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9962, loss_cls: 0.5191, loss: 0.5191 2023-12-24 15:02:40,480 - pyskl - INFO - Saving checkpoint at 39 epochs 2023-12-24 15:03:59,997 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 15:04:00,062 - pyskl - INFO - top1_acc 0.8330 top5_acc 0.9860 2023-12-24 15:04:00,062 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 15:04:00,071 - pyskl - INFO - mean_acc 0.7606 2023-12-24 15:04:00,077 - pyskl - INFO - Epoch(val) [39][533] top1_acc: 0.8330, top5_acc: 0.9860, mean_class_accuracy: 0.7606 2023-12-24 15:04:48,840 - pyskl - INFO - Epoch [40][100/1281] lr: 2.104e-02, eta: 15:42:37, time: 0.488, data_time: 0.209, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9962, loss_cls: 0.4881, loss: 0.4881 2023-12-24 15:05:34,312 - pyskl - INFO - Epoch [40][200/1281] lr: 2.103e-02, eta: 15:42:14, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9956, loss_cls: 0.4537, loss: 0.4537 2023-12-24 15:05:58,773 - pyskl - INFO - Epoch [40][300/1281] lr: 2.101e-02, eta: 15:40:50, time: 0.245, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9962, loss_cls: 0.5094, loss: 0.5094 2023-12-24 15:06:41,120 - pyskl - INFO - Epoch [40][400/1281] lr: 2.100e-02, eta: 15:40:18, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9944, loss_cls: 0.4913, loss: 0.4913 2023-12-24 15:07:24,200 - pyskl - INFO - Epoch [40][500/1281] lr: 2.098e-02, eta: 15:39:47, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9906, loss_cls: 0.5774, loss: 0.5774 2023-12-24 15:08:07,094 - pyskl - INFO - Epoch [40][600/1281] lr: 2.097e-02, eta: 15:39:16, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9894, loss_cls: 0.5736, loss: 0.5736 2023-12-24 15:08:50,588 - pyskl - INFO - Epoch [40][700/1281] lr: 2.095e-02, eta: 15:38:47, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9931, loss_cls: 0.5513, loss: 0.5513 2023-12-24 15:09:35,763 - pyskl - INFO - Epoch [40][800/1281] lr: 2.094e-02, eta: 15:38:22, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9962, loss_cls: 0.5418, loss: 0.5418 2023-12-24 15:10:20,716 - pyskl - INFO - Epoch [40][900/1281] lr: 2.092e-02, eta: 15:37:56, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9950, loss_cls: 0.4897, loss: 0.4897 2023-12-24 15:11:05,921 - pyskl - INFO - Epoch [40][1000/1281] lr: 2.091e-02, eta: 15:37:31, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9950, loss_cls: 0.4909, loss: 0.4909 2023-12-24 15:11:50,373 - pyskl - INFO - Epoch [40][1100/1281] lr: 2.089e-02, eta: 15:37:04, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9944, loss_cls: 0.5178, loss: 0.5178 2023-12-24 15:12:34,128 - pyskl - INFO - Epoch [40][1200/1281] lr: 2.088e-02, eta: 15:36:35, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9938, loss_cls: 0.4901, loss: 0.4901 2023-12-24 15:13:11,624 - pyskl - INFO - Saving checkpoint at 40 epochs 2023-12-24 15:14:30,254 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 15:14:30,328 - pyskl - INFO - top1_acc 0.8163 top5_acc 0.9829 2023-12-24 15:14:30,329 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 15:14:30,340 - pyskl - INFO - mean_acc 0.7627 2023-12-24 15:14:30,344 - pyskl - INFO - Epoch(val) [40][533] top1_acc: 0.8163, top5_acc: 0.9829, mean_class_accuracy: 0.7627 2023-12-24 15:15:19,254 - pyskl - INFO - Epoch [41][100/1281] lr: 2.085e-02, eta: 15:34:19, time: 0.489, data_time: 0.210, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9925, loss_cls: 0.4840, loss: 0.4840 2023-12-24 15:16:04,628 - pyskl - INFO - Epoch [41][200/1281] lr: 2.083e-02, eta: 15:33:55, time: 0.454, data_time: 0.000, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9956, loss_cls: 0.4562, loss: 0.4562 2023-12-24 15:16:27,112 - pyskl - INFO - Epoch [41][300/1281] lr: 2.082e-02, eta: 15:32:27, time: 0.225, data_time: 0.000, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9938, loss_cls: 0.4951, loss: 0.4951 2023-12-24 15:17:11,878 - pyskl - INFO - Epoch [41][400/1281] lr: 2.080e-02, eta: 15:32:01, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9931, loss_cls: 0.5571, loss: 0.5571 2023-12-24 15:17:55,381 - pyskl - INFO - Epoch [41][500/1281] lr: 2.079e-02, eta: 15:31:31, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9944, loss_cls: 0.5048, loss: 0.5048 2023-12-24 15:18:38,524 - pyskl - INFO - Epoch [41][600/1281] lr: 2.077e-02, eta: 15:31:01, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9950, loss_cls: 0.4965, loss: 0.4965 2023-12-24 15:19:21,830 - pyskl - INFO - Epoch [41][700/1281] lr: 2.076e-02, eta: 15:30:30, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9938, loss_cls: 0.5147, loss: 0.5147 2023-12-24 15:20:05,885 - pyskl - INFO - Epoch [41][800/1281] lr: 2.074e-02, eta: 15:30:02, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9925, loss_cls: 0.5238, loss: 0.5238 2023-12-24 15:20:50,166 - pyskl - INFO - Epoch [41][900/1281] lr: 2.073e-02, eta: 15:29:34, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9956, loss_cls: 0.5006, loss: 0.5006 2023-12-24 15:21:35,449 - pyskl - INFO - Epoch [41][1000/1281] lr: 2.071e-02, eta: 15:29:09, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9925, loss_cls: 0.5131, loss: 0.5131 2023-12-24 15:22:20,494 - pyskl - INFO - Epoch [41][1100/1281] lr: 2.070e-02, eta: 15:28:43, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9950, loss_cls: 0.5348, loss: 0.5348 2023-12-24 15:23:05,379 - pyskl - INFO - Epoch [41][1200/1281] lr: 2.068e-02, eta: 15:28:16, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9950, loss_cls: 0.4844, loss: 0.4844 2023-12-24 15:23:42,283 - pyskl - INFO - Saving checkpoint at 41 epochs 2023-12-24 15:24:58,741 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 15:24:58,803 - pyskl - INFO - top1_acc 0.8004 top5_acc 0.9813 2023-12-24 15:24:58,804 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 15:24:58,828 - pyskl - INFO - mean_acc 0.7610 2023-12-24 15:24:58,832 - pyskl - INFO - Epoch(val) [41][533] top1_acc: 0.8004, top5_acc: 0.9813, mean_class_accuracy: 0.7610 2023-12-24 15:25:53,978 - pyskl - INFO - Epoch [42][100/1281] lr: 2.065e-02, eta: 15:26:19, time: 0.551, data_time: 0.242, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9950, loss_cls: 0.4739, loss: 0.4739 2023-12-24 15:26:38,085 - pyskl - INFO - Epoch [42][200/1281] lr: 2.064e-02, eta: 15:25:50, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9944, loss_cls: 0.5314, loss: 0.5314 2023-12-24 15:27:02,285 - pyskl - INFO - Epoch [42][300/1281] lr: 2.062e-02, eta: 15:24:29, time: 0.242, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9962, loss_cls: 0.4802, loss: 0.4802 2023-12-24 15:27:45,782 - pyskl - INFO - Epoch [42][400/1281] lr: 2.061e-02, eta: 15:23:59, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9969, loss_cls: 0.4995, loss: 0.4995 2023-12-24 15:28:28,643 - pyskl - INFO - Epoch [42][500/1281] lr: 2.059e-02, eta: 15:23:27, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9931, loss_cls: 0.4724, loss: 0.4724 2023-12-24 15:29:12,734 - pyskl - INFO - Epoch [42][600/1281] lr: 2.057e-02, eta: 15:22:59, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9925, loss_cls: 0.4920, loss: 0.4920 2023-12-24 15:29:57,839 - pyskl - INFO - Epoch [42][700/1281] lr: 2.056e-02, eta: 15:22:33, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9925, loss_cls: 0.5587, loss: 0.5587 2023-12-24 15:30:42,207 - pyskl - INFO - Epoch [42][800/1281] lr: 2.054e-02, eta: 15:22:05, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9931, loss_cls: 0.5154, loss: 0.5154 2023-12-24 15:31:26,318 - pyskl - INFO - Epoch [42][900/1281] lr: 2.053e-02, eta: 15:21:36, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9938, loss_cls: 0.4574, loss: 0.4574 2023-12-24 15:32:10,146 - pyskl - INFO - Epoch [42][1000/1281] lr: 2.051e-02, eta: 15:21:06, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9938, loss_cls: 0.5205, loss: 0.5205 2023-12-24 15:32:55,322 - pyskl - INFO - Epoch [42][1100/1281] lr: 2.050e-02, eta: 15:20:40, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9969, loss_cls: 0.5065, loss: 0.5065 2023-12-24 15:33:39,659 - pyskl - INFO - Epoch [42][1200/1281] lr: 2.048e-02, eta: 15:20:12, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9950, loss_cls: 0.5222, loss: 0.5222 2023-12-24 15:34:15,757 - pyskl - INFO - Saving checkpoint at 42 epochs 2023-12-24 15:35:34,584 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 15:35:34,653 - pyskl - INFO - top1_acc 0.8261 top5_acc 0.9835 2023-12-24 15:35:34,654 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 15:35:34,663 - pyskl - INFO - mean_acc 0.7909 2023-12-24 15:35:34,665 - pyskl - INFO - Epoch(val) [42][533] top1_acc: 0.8261, top5_acc: 0.9835, mean_class_accuracy: 0.7909 2023-12-24 15:36:22,170 - pyskl - INFO - Epoch [43][100/1281] lr: 2.045e-02, eta: 15:17:56, time: 0.475, data_time: 0.178, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9950, loss_cls: 0.5170, loss: 0.5170 2023-12-24 15:37:05,957 - pyskl - INFO - Epoch [43][200/1281] lr: 2.044e-02, eta: 15:17:26, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9944, loss_cls: 0.5289, loss: 0.5289 2023-12-24 15:37:29,949 - pyskl - INFO - Epoch [43][300/1281] lr: 2.042e-02, eta: 15:16:06, time: 0.240, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9975, loss_cls: 0.4981, loss: 0.4981 2023-12-24 15:38:12,977 - pyskl - INFO - Epoch [43][400/1281] lr: 2.040e-02, eta: 15:15:34, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9956, loss_cls: 0.4956, loss: 0.4956 2023-12-24 15:38:56,377 - pyskl - INFO - Epoch [43][500/1281] lr: 2.039e-02, eta: 15:15:04, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9931, loss_cls: 0.4982, loss: 0.4982 2023-12-24 15:39:39,479 - pyskl - INFO - Epoch [43][600/1281] lr: 2.037e-02, eta: 15:14:32, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9938, loss_cls: 0.4600, loss: 0.4600 2023-12-24 15:40:22,300 - pyskl - INFO - Epoch [43][700/1281] lr: 2.036e-02, eta: 15:14:00, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9962, loss_cls: 0.4910, loss: 0.4910 2023-12-24 15:41:05,376 - pyskl - INFO - Epoch [43][800/1281] lr: 2.034e-02, eta: 15:13:28, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9919, loss_cls: 0.5373, loss: 0.5373 2023-12-24 15:41:48,712 - pyskl - INFO - Epoch [43][900/1281] lr: 2.033e-02, eta: 15:12:57, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9931, loss_cls: 0.5284, loss: 0.5284 2023-12-24 15:42:32,134 - pyskl - INFO - Epoch [43][1000/1281] lr: 2.031e-02, eta: 15:12:26, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9912, loss_cls: 0.4911, loss: 0.4911 2023-12-24 15:43:15,452 - pyskl - INFO - Epoch [43][1100/1281] lr: 2.029e-02, eta: 15:11:55, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9962, loss_cls: 0.4953, loss: 0.4953 2023-12-24 15:43:58,524 - pyskl - INFO - Epoch [43][1200/1281] lr: 2.028e-02, eta: 15:11:23, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9938, loss_cls: 0.4663, loss: 0.4663 2023-12-24 15:44:33,926 - pyskl - INFO - Saving checkpoint at 43 epochs 2023-12-24 15:45:50,413 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 15:45:50,485 - pyskl - INFO - top1_acc 0.8035 top5_acc 0.9810 2023-12-24 15:45:50,486 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 15:45:50,497 - pyskl - INFO - mean_acc 0.7641 2023-12-24 15:45:50,500 - pyskl - INFO - Epoch(val) [43][533] top1_acc: 0.8035, top5_acc: 0.9810, mean_class_accuracy: 0.7641 2023-12-24 15:46:45,224 - pyskl - INFO - Epoch [44][100/1281] lr: 2.025e-02, eta: 15:09:28, time: 0.547, data_time: 0.238, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9950, loss_cls: 0.4629, loss: 0.4629 2023-12-24 15:47:29,494 - pyskl - INFO - Epoch [44][200/1281] lr: 2.023e-02, eta: 15:08:59, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9962, loss_cls: 0.4721, loss: 0.4721 2023-12-24 15:47:53,201 - pyskl - INFO - Epoch [44][300/1281] lr: 2.022e-02, eta: 15:07:39, time: 0.237, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9931, loss_cls: 0.5394, loss: 0.5394 2023-12-24 15:48:36,319 - pyskl - INFO - Epoch [44][400/1281] lr: 2.020e-02, eta: 15:07:07, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9944, loss_cls: 0.5317, loss: 0.5317 2023-12-24 15:49:19,167 - pyskl - INFO - Epoch [44][500/1281] lr: 2.018e-02, eta: 15:06:35, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9969, loss_cls: 0.4574, loss: 0.4574 2023-12-24 15:50:04,146 - pyskl - INFO - Epoch [44][600/1281] lr: 2.017e-02, eta: 15:06:08, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9944, loss_cls: 0.4830, loss: 0.4830 2023-12-24 15:50:49,332 - pyskl - INFO - Epoch [44][700/1281] lr: 2.015e-02, eta: 15:05:41, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9956, loss_cls: 0.4647, loss: 0.4647 2023-12-24 15:51:34,572 - pyskl - INFO - Epoch [44][800/1281] lr: 2.014e-02, eta: 15:05:14, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9906, loss_cls: 0.5148, loss: 0.5148 2023-12-24 15:52:19,743 - pyskl - INFO - Epoch [44][900/1281] lr: 2.012e-02, eta: 15:04:47, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9919, loss_cls: 0.5304, loss: 0.5304 2023-12-24 15:53:03,349 - pyskl - INFO - Epoch [44][1000/1281] lr: 2.010e-02, eta: 15:04:16, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9912, loss_cls: 0.5285, loss: 0.5285 2023-12-24 15:53:47,247 - pyskl - INFO - Epoch [44][1100/1281] lr: 2.009e-02, eta: 15:03:46, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9931, loss_cls: 0.5266, loss: 0.5266 2023-12-24 15:54:30,646 - pyskl - INFO - Epoch [44][1200/1281] lr: 2.007e-02, eta: 15:03:15, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9950, loss_cls: 0.5309, loss: 0.5309 2023-12-24 15:55:06,902 - pyskl - INFO - Saving checkpoint at 44 epochs 2023-12-24 15:56:26,221 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 15:56:26,291 - pyskl - INFO - top1_acc 0.8441 top5_acc 0.9872 2023-12-24 15:56:26,291 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 15:56:26,300 - pyskl - INFO - mean_acc 0.7985 2023-12-24 15:56:26,305 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_36.pth was removed 2023-12-24 15:56:26,526 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_44.pth. 2023-12-24 15:56:26,526 - pyskl - INFO - Best top1_acc is 0.8441 at 44 epoch. 2023-12-24 15:56:26,530 - pyskl - INFO - Epoch(val) [44][533] top1_acc: 0.8441, top5_acc: 0.9872, mean_class_accuracy: 0.7985 2023-12-24 15:57:16,155 - pyskl - INFO - Epoch [45][100/1281] lr: 2.004e-02, eta: 15:01:08, time: 0.496, data_time: 0.188, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9938, loss_cls: 0.4269, loss: 0.4269 2023-12-24 15:57:58,605 - pyskl - INFO - Epoch [45][200/1281] lr: 2.003e-02, eta: 15:00:35, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9962, loss_cls: 0.5081, loss: 0.5081 2023-12-24 15:58:24,543 - pyskl - INFO - Epoch [45][300/1281] lr: 2.001e-02, eta: 14:59:22, time: 0.259, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9956, loss_cls: 0.4462, loss: 0.4462 2023-12-24 15:59:08,985 - pyskl - INFO - Epoch [45][400/1281] lr: 1.999e-02, eta: 14:58:53, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9931, loss_cls: 0.4574, loss: 0.4574 2023-12-24 15:59:54,268 - pyskl - INFO - Epoch [45][500/1281] lr: 1.998e-02, eta: 14:58:26, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9925, loss_cls: 0.5082, loss: 0.5082 2023-12-24 16:00:38,563 - pyskl - INFO - Epoch [45][600/1281] lr: 1.996e-02, eta: 14:57:57, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9969, loss_cls: 0.4639, loss: 0.4639 2023-12-24 16:01:22,213 - pyskl - INFO - Epoch [45][700/1281] lr: 1.994e-02, eta: 14:57:26, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9925, loss_cls: 0.4975, loss: 0.4975 2023-12-24 16:02:05,592 - pyskl - INFO - Epoch [45][800/1281] lr: 1.993e-02, eta: 14:56:54, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9944, loss_cls: 0.5043, loss: 0.5043 2023-12-24 16:02:49,115 - pyskl - INFO - Epoch [45][900/1281] lr: 1.991e-02, eta: 14:56:23, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9950, loss_cls: 0.5023, loss: 0.5023 2023-12-24 16:03:32,616 - pyskl - INFO - Epoch [45][1000/1281] lr: 1.989e-02, eta: 14:55:52, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9950, loss_cls: 0.4920, loss: 0.4920 2023-12-24 16:04:17,770 - pyskl - INFO - Epoch [45][1100/1281] lr: 1.988e-02, eta: 14:55:24, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9950, loss_cls: 0.4982, loss: 0.4982 2023-12-24 16:05:01,022 - pyskl - INFO - Epoch [45][1200/1281] lr: 1.986e-02, eta: 14:54:52, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9944, loss_cls: 0.5064, loss: 0.5064 2023-12-24 16:05:36,763 - pyskl - INFO - Saving checkpoint at 45 epochs 2023-12-24 16:06:56,463 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 16:06:56,528 - pyskl - INFO - top1_acc 0.8055 top5_acc 0.9769 2023-12-24 16:06:56,528 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 16:06:56,539 - pyskl - INFO - mean_acc 0.7473 2023-12-24 16:06:56,550 - pyskl - INFO - Epoch(val) [45][533] top1_acc: 0.8055, top5_acc: 0.9769, mean_class_accuracy: 0.7473 2023-12-24 16:07:55,136 - pyskl - INFO - Epoch [46][100/1281] lr: 1.983e-02, eta: 14:53:08, time: 0.586, data_time: 0.250, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9975, loss_cls: 0.4504, loss: 0.4504 2023-12-24 16:08:38,788 - pyskl - INFO - Epoch [46][200/1281] lr: 1.981e-02, eta: 14:52:37, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9956, loss_cls: 0.4339, loss: 0.4339 2023-12-24 16:09:03,730 - pyskl - INFO - Epoch [46][300/1281] lr: 1.980e-02, eta: 14:51:23, time: 0.249, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9956, loss_cls: 0.4531, loss: 0.4531 2023-12-24 16:09:45,781 - pyskl - INFO - Epoch [46][400/1281] lr: 1.978e-02, eta: 14:50:48, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9962, loss_cls: 0.4425, loss: 0.4425 2023-12-24 16:10:30,481 - pyskl - INFO - Epoch [46][500/1281] lr: 1.976e-02, eta: 14:50:19, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9944, loss_cls: 0.4258, loss: 0.4258 2023-12-24 16:11:17,412 - pyskl - INFO - Epoch [46][600/1281] lr: 1.975e-02, eta: 14:49:55, time: 0.469, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9950, loss_cls: 0.4957, loss: 0.4957 2023-12-24 16:12:04,354 - pyskl - INFO - Epoch [46][700/1281] lr: 1.973e-02, eta: 14:49:32, time: 0.469, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9994, loss_cls: 0.4251, loss: 0.4251 2023-12-24 16:12:48,894 - pyskl - INFO - Epoch [46][800/1281] lr: 1.971e-02, eta: 14:49:03, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9938, loss_cls: 0.5329, loss: 0.5329 2023-12-24 16:13:32,928 - pyskl - INFO - Epoch [46][900/1281] lr: 1.970e-02, eta: 14:48:32, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9956, loss_cls: 0.4744, loss: 0.4744 2023-12-24 16:14:17,747 - pyskl - INFO - Epoch [46][1000/1281] lr: 1.968e-02, eta: 14:48:03, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9956, loss_cls: 0.4838, loss: 0.4838 2023-12-24 16:15:02,380 - pyskl - INFO - Epoch [46][1100/1281] lr: 1.966e-02, eta: 14:47:34, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9919, loss_cls: 0.5236, loss: 0.5236 2023-12-24 16:15:46,171 - pyskl - INFO - Epoch [46][1200/1281] lr: 1.965e-02, eta: 14:47:03, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9962, loss_cls: 0.4891, loss: 0.4891 2023-12-24 16:16:25,016 - pyskl - INFO - Saving checkpoint at 46 epochs 2023-12-24 16:17:50,307 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 16:17:50,373 - pyskl - INFO - top1_acc 0.8371 top5_acc 0.9858 2023-12-24 16:17:50,373 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 16:17:50,388 - pyskl - INFO - mean_acc 0.7883 2023-12-24 16:17:50,395 - pyskl - INFO - Epoch(val) [46][533] top1_acc: 0.8371, top5_acc: 0.9858, mean_class_accuracy: 0.7883 2023-12-24 16:18:50,053 - pyskl - INFO - Epoch [47][100/1281] lr: 1.962e-02, eta: 14:45:22, time: 0.596, data_time: 0.271, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9988, loss_cls: 0.4326, loss: 0.4326 2023-12-24 16:19:33,768 - pyskl - INFO - Epoch [47][200/1281] lr: 1.960e-02, eta: 14:44:51, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9981, loss_cls: 0.4109, loss: 0.4109 2023-12-24 16:19:56,626 - pyskl - INFO - Epoch [47][300/1281] lr: 1.958e-02, eta: 14:43:33, time: 0.229, data_time: 0.001, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9956, loss_cls: 0.4941, loss: 0.4941 2023-12-24 16:20:40,092 - pyskl - INFO - Epoch [47][400/1281] lr: 1.957e-02, eta: 14:43:01, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9931, loss_cls: 0.4841, loss: 0.4841 2023-12-24 16:21:23,715 - pyskl - INFO - Epoch [47][500/1281] lr: 1.955e-02, eta: 14:42:29, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 0.4780, loss: 0.4780 2023-12-24 16:22:08,933 - pyskl - INFO - Epoch [47][600/1281] lr: 1.953e-02, eta: 14:42:01, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9938, loss_cls: 0.5026, loss: 0.5026 2023-12-24 16:22:56,159 - pyskl - INFO - Epoch [47][700/1281] lr: 1.952e-02, eta: 14:41:38, time: 0.472, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9925, loss_cls: 0.5063, loss: 0.5063 2023-12-24 16:23:43,254 - pyskl - INFO - Epoch [47][800/1281] lr: 1.950e-02, eta: 14:41:14, time: 0.471, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9956, loss_cls: 0.4902, loss: 0.4902 2023-12-24 16:24:30,265 - pyskl - INFO - Epoch [47][900/1281] lr: 1.948e-02, eta: 14:40:49, time: 0.470, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9950, loss_cls: 0.4731, loss: 0.4731 2023-12-24 16:25:15,612 - pyskl - INFO - Epoch [47][1000/1281] lr: 1.947e-02, eta: 14:40:21, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9950, loss_cls: 0.4760, loss: 0.4760 2023-12-24 16:26:00,874 - pyskl - INFO - Epoch [47][1100/1281] lr: 1.945e-02, eta: 14:39:53, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9944, loss_cls: 0.4691, loss: 0.4691 2023-12-24 16:26:46,258 - pyskl - INFO - Epoch [47][1200/1281] lr: 1.943e-02, eta: 14:39:25, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9950, loss_cls: 0.4701, loss: 0.4701 2023-12-24 16:27:26,562 - pyskl - INFO - Saving checkpoint at 47 epochs 2023-12-24 16:28:54,264 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 16:28:54,344 - pyskl - INFO - top1_acc 0.8209 top5_acc 0.9835 2023-12-24 16:28:54,344 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 16:28:54,365 - pyskl - INFO - mean_acc 0.7545 2023-12-24 16:28:54,370 - pyskl - INFO - Epoch(val) [47][533] top1_acc: 0.8209, top5_acc: 0.9835, mean_class_accuracy: 0.7545 2023-12-24 16:29:56,898 - pyskl - INFO - Epoch [48][100/1281] lr: 1.940e-02, eta: 14:37:51, time: 0.625, data_time: 0.290, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9944, loss_cls: 0.4316, loss: 0.4316 2023-12-24 16:30:39,246 - pyskl - INFO - Epoch [48][200/1281] lr: 1.938e-02, eta: 14:37:17, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9956, loss_cls: 0.4385, loss: 0.4385 2023-12-24 16:31:03,222 - pyskl - INFO - Epoch [48][300/1281] lr: 1.937e-02, eta: 14:36:02, time: 0.240, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9969, loss_cls: 0.4610, loss: 0.4610 2023-12-24 16:31:48,424 - pyskl - INFO - Epoch [48][400/1281] lr: 1.935e-02, eta: 14:35:33, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9912, loss_cls: 0.4977, loss: 0.4977 2023-12-24 16:32:36,664 - pyskl - INFO - Epoch [48][500/1281] lr: 1.933e-02, eta: 14:35:11, time: 0.482, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9981, loss_cls: 0.4452, loss: 0.4452 2023-12-24 16:33:24,192 - pyskl - INFO - Epoch [48][600/1281] lr: 1.932e-02, eta: 14:34:48, time: 0.475, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9956, loss_cls: 0.4609, loss: 0.4609 2023-12-24 16:34:13,166 - pyskl - INFO - Epoch [48][700/1281] lr: 1.930e-02, eta: 14:34:27, time: 0.490, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9969, loss_cls: 0.4402, loss: 0.4402 2023-12-24 16:34:57,329 - pyskl - INFO - Epoch [48][800/1281] lr: 1.928e-02, eta: 14:33:56, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9969, loss_cls: 0.4018, loss: 0.4018 2023-12-24 16:35:42,884 - pyskl - INFO - Epoch [48][900/1281] lr: 1.926e-02, eta: 14:33:28, time: 0.456, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9969, loss_cls: 0.4785, loss: 0.4785 2023-12-24 16:36:29,986 - pyskl - INFO - Epoch [48][1000/1281] lr: 1.925e-02, eta: 14:33:03, time: 0.471, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9919, loss_cls: 0.5273, loss: 0.5273 2023-12-24 16:37:14,370 - pyskl - INFO - Epoch [48][1100/1281] lr: 1.923e-02, eta: 14:32:33, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9931, loss_cls: 0.5246, loss: 0.5246 2023-12-24 16:38:02,537 - pyskl - INFO - Epoch [48][1200/1281] lr: 1.921e-02, eta: 14:32:10, time: 0.482, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9950, loss_cls: 0.4687, loss: 0.4687 2023-12-24 16:38:43,951 - pyskl - INFO - Saving checkpoint at 48 epochs 2023-12-24 16:40:10,647 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 16:40:10,730 - pyskl - INFO - top1_acc 0.8356 top5_acc 0.9871 2023-12-24 16:40:10,730 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 16:40:10,741 - pyskl - INFO - mean_acc 0.7833 2023-12-24 16:40:10,744 - pyskl - INFO - Epoch(val) [48][533] top1_acc: 0.8356, top5_acc: 0.9871, mean_class_accuracy: 0.7833 2023-12-24 16:41:20,264 - pyskl - INFO - Epoch [49][100/1281] lr: 1.918e-02, eta: 14:30:51, time: 0.695, data_time: 0.321, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9962, loss_cls: 0.4960, loss: 0.4960 2023-12-24 16:42:04,648 - pyskl - INFO - Epoch [49][200/1281] lr: 1.916e-02, eta: 14:30:21, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 0.3797, loss: 0.3797 2023-12-24 16:42:29,300 - pyskl - INFO - Epoch [49][300/1281] lr: 1.915e-02, eta: 14:29:08, time: 0.246, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9956, loss_cls: 0.4547, loss: 0.4547 2023-12-24 16:43:14,249 - pyskl - INFO - Epoch [49][400/1281] lr: 1.913e-02, eta: 14:28:39, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9962, loss_cls: 0.4691, loss: 0.4691 2023-12-24 16:44:01,401 - pyskl - INFO - Epoch [49][500/1281] lr: 1.911e-02, eta: 14:28:14, time: 0.471, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9956, loss_cls: 0.4812, loss: 0.4812 2023-12-24 16:44:48,702 - pyskl - INFO - Epoch [49][600/1281] lr: 1.909e-02, eta: 14:27:49, time: 0.473, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9950, loss_cls: 0.4200, loss: 0.4200 2023-12-24 16:45:32,938 - pyskl - INFO - Epoch [49][700/1281] lr: 1.908e-02, eta: 14:27:17, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9956, loss_cls: 0.4972, loss: 0.4972 2023-12-24 16:46:20,602 - pyskl - INFO - Epoch [49][800/1281] lr: 1.906e-02, eta: 14:26:53, time: 0.477, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9962, loss_cls: 0.4337, loss: 0.4337 2023-12-24 16:47:07,921 - pyskl - INFO - Epoch [49][900/1281] lr: 1.904e-02, eta: 14:26:28, time: 0.473, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9950, loss_cls: 0.4425, loss: 0.4425 2023-12-24 16:47:54,044 - pyskl - INFO - Epoch [49][1000/1281] lr: 1.902e-02, eta: 14:26:01, time: 0.461, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9956, loss_cls: 0.4465, loss: 0.4465 2023-12-24 16:48:41,768 - pyskl - INFO - Epoch [49][1100/1281] lr: 1.901e-02, eta: 14:25:37, time: 0.477, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9975, loss_cls: 0.4748, loss: 0.4748 2023-12-24 16:49:29,562 - pyskl - INFO - Epoch [49][1200/1281] lr: 1.899e-02, eta: 14:25:12, time: 0.478, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9950, loss_cls: 0.4917, loss: 0.4917 2023-12-24 16:50:07,230 - pyskl - INFO - Saving checkpoint at 49 epochs 2023-12-24 16:51:30,071 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 16:51:30,153 - pyskl - INFO - top1_acc 0.8474 top5_acc 0.9867 2023-12-24 16:51:30,154 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 16:51:30,175 - pyskl - INFO - mean_acc 0.8049 2023-12-24 16:51:30,183 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_44.pth was removed 2023-12-24 16:51:30,550 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth. 2023-12-24 16:51:30,551 - pyskl - INFO - Best top1_acc is 0.8474 at 49 epoch. 2023-12-24 16:51:30,560 - pyskl - INFO - Epoch(val) [49][533] top1_acc: 0.8474, top5_acc: 0.9867, mean_class_accuracy: 0.8049 2023-12-24 16:52:36,682 - pyskl - INFO - Epoch [50][100/1281] lr: 1.896e-02, eta: 14:23:47, time: 0.661, data_time: 0.313, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9969, loss_cls: 0.3655, loss: 0.3655 2023-12-24 16:53:21,385 - pyskl - INFO - Epoch [50][200/1281] lr: 1.894e-02, eta: 14:23:16, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9950, loss_cls: 0.4373, loss: 0.4373 2023-12-24 16:53:45,637 - pyskl - INFO - Epoch [50][300/1281] lr: 1.892e-02, eta: 14:22:03, time: 0.242, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9975, loss_cls: 0.4268, loss: 0.4268 2023-12-24 16:54:32,044 - pyskl - INFO - Epoch [50][400/1281] lr: 1.891e-02, eta: 14:21:36, time: 0.464, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9956, loss_cls: 0.4695, loss: 0.4695 2023-12-24 16:55:20,148 - pyskl - INFO - Epoch [50][500/1281] lr: 1.889e-02, eta: 14:21:13, time: 0.481, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9969, loss_cls: 0.4326, loss: 0.4326 2023-12-24 16:56:04,911 - pyskl - INFO - Epoch [50][600/1281] lr: 1.887e-02, eta: 14:20:42, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9931, loss_cls: 0.4267, loss: 0.4267 2023-12-24 16:56:49,826 - pyskl - INFO - Epoch [50][700/1281] lr: 1.885e-02, eta: 14:20:12, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9975, loss_cls: 0.4940, loss: 0.4940 2023-12-24 16:57:37,818 - pyskl - INFO - Epoch [50][800/1281] lr: 1.884e-02, eta: 14:19:47, time: 0.480, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9944, loss_cls: 0.4919, loss: 0.4919 2023-12-24 16:58:26,580 - pyskl - INFO - Epoch [50][900/1281] lr: 1.882e-02, eta: 14:19:25, time: 0.488, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9950, loss_cls: 0.4806, loss: 0.4806 2023-12-24 16:59:13,359 - pyskl - INFO - Epoch [50][1000/1281] lr: 1.880e-02, eta: 14:18:58, time: 0.468, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9900, loss_cls: 0.5505, loss: 0.5505 2023-12-24 16:59:58,472 - pyskl - INFO - Epoch [50][1100/1281] lr: 1.878e-02, eta: 14:18:28, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9969, loss_cls: 0.4766, loss: 0.4766 2023-12-24 17:00:45,135 - pyskl - INFO - Epoch [50][1200/1281] lr: 1.876e-02, eta: 14:18:01, time: 0.467, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9962, loss_cls: 0.4284, loss: 0.4284 2023-12-24 17:01:21,873 - pyskl - INFO - Saving checkpoint at 50 epochs 2023-12-24 17:02:48,189 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 17:02:48,254 - pyskl - INFO - top1_acc 0.8247 top5_acc 0.9857 2023-12-24 17:02:48,254 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 17:02:48,262 - pyskl - INFO - mean_acc 0.7823 2023-12-24 17:02:48,264 - pyskl - INFO - Epoch(val) [50][533] top1_acc: 0.8247, top5_acc: 0.9857, mean_class_accuracy: 0.7823 2023-12-24 17:03:53,810 - pyskl - INFO - Epoch [51][100/1281] lr: 1.873e-02, eta: 14:16:34, time: 0.655, data_time: 0.306, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9981, loss_cls: 0.4180, loss: 0.4180 2023-12-24 17:04:40,341 - pyskl - INFO - Epoch [51][200/1281] lr: 1.871e-02, eta: 14:16:06, time: 0.465, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9975, loss_cls: 0.4154, loss: 0.4154 2023-12-24 17:05:03,822 - pyskl - INFO - Epoch [51][300/1281] lr: 1.870e-02, eta: 14:14:53, time: 0.235, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9950, loss_cls: 0.4683, loss: 0.4683 2023-12-24 17:05:45,318 - pyskl - INFO - Epoch [51][400/1281] lr: 1.868e-02, eta: 14:14:16, time: 0.415, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9981, loss_cls: 0.4011, loss: 0.4011 2023-12-24 17:06:29,805 - pyskl - INFO - Epoch [51][500/1281] lr: 1.866e-02, eta: 14:13:44, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9975, loss_cls: 0.4074, loss: 0.4074 2023-12-24 17:07:16,039 - pyskl - INFO - Epoch [51][600/1281] lr: 1.864e-02, eta: 14:13:16, time: 0.462, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 0.4065, loss: 0.4065 2023-12-24 17:08:02,722 - pyskl - INFO - Epoch [51][700/1281] lr: 1.863e-02, eta: 14:12:49, time: 0.467, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9919, loss_cls: 0.4683, loss: 0.4683 2023-12-24 17:08:47,583 - pyskl - INFO - Epoch [51][800/1281] lr: 1.861e-02, eta: 14:12:18, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9981, loss_cls: 0.4460, loss: 0.4460 2023-12-24 17:09:31,596 - pyskl - INFO - Epoch [51][900/1281] lr: 1.859e-02, eta: 14:11:45, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9944, loss_cls: 0.4567, loss: 0.4567 2023-12-24 17:10:16,211 - pyskl - INFO - Epoch [51][1000/1281] lr: 1.857e-02, eta: 14:11:13, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9944, loss_cls: 0.4850, loss: 0.4850 2023-12-24 17:11:00,788 - pyskl - INFO - Epoch [51][1100/1281] lr: 1.855e-02, eta: 14:10:42, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9956, loss_cls: 0.4347, loss: 0.4347 2023-12-24 17:11:45,822 - pyskl - INFO - Epoch [51][1200/1281] lr: 1.854e-02, eta: 14:10:11, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9962, loss_cls: 0.4529, loss: 0.4529 2023-12-24 17:12:23,163 - pyskl - INFO - Saving checkpoint at 51 epochs 2023-12-24 17:13:41,666 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 17:13:41,748 - pyskl - INFO - top1_acc 0.8019 top5_acc 0.9825 2023-12-24 17:13:41,748 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 17:13:41,756 - pyskl - INFO - mean_acc 0.7462 2023-12-24 17:13:41,758 - pyskl - INFO - Epoch(val) [51][533] top1_acc: 0.8019, top5_acc: 0.9825, mean_class_accuracy: 0.7462 2023-12-24 17:14:28,551 - pyskl - INFO - Epoch [52][100/1281] lr: 1.850e-02, eta: 14:08:08, time: 0.468, data_time: 0.208, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 0.4232, loss: 0.4232 2023-12-24 17:15:14,425 - pyskl - INFO - Epoch [52][200/1281] lr: 1.849e-02, eta: 14:07:39, time: 0.459, data_time: 0.000, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9938, loss_cls: 0.4546, loss: 0.4546 2023-12-24 17:15:38,299 - pyskl - INFO - Epoch [52][300/1281] lr: 1.847e-02, eta: 14:06:27, time: 0.239, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9950, loss_cls: 0.4198, loss: 0.4198 2023-12-24 17:16:22,129 - pyskl - INFO - Epoch [52][400/1281] lr: 1.845e-02, eta: 14:05:54, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9969, loss_cls: 0.4175, loss: 0.4175 2023-12-24 17:17:09,681 - pyskl - INFO - Epoch [52][500/1281] lr: 1.843e-02, eta: 14:05:28, time: 0.476, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9969, loss_cls: 0.4335, loss: 0.4335 2023-12-24 17:17:54,641 - pyskl - INFO - Epoch [52][600/1281] lr: 1.841e-02, eta: 14:04:57, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9981, loss_cls: 0.4137, loss: 0.4137 2023-12-24 17:18:39,784 - pyskl - INFO - Epoch [52][700/1281] lr: 1.840e-02, eta: 14:04:27, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9975, loss_cls: 0.4620, loss: 0.4620 2023-12-24 17:19:25,491 - pyskl - INFO - Epoch [52][800/1281] lr: 1.838e-02, eta: 14:03:57, time: 0.457, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9912, loss_cls: 0.4862, loss: 0.4862 2023-12-24 17:20:10,689 - pyskl - INFO - Epoch [52][900/1281] lr: 1.836e-02, eta: 14:03:26, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9956, loss_cls: 0.4443, loss: 0.4443 2023-12-24 17:20:56,760 - pyskl - INFO - Epoch [52][1000/1281] lr: 1.834e-02, eta: 14:02:57, time: 0.461, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9944, loss_cls: 0.4588, loss: 0.4588 2023-12-24 17:21:42,609 - pyskl - INFO - Epoch [52][1100/1281] lr: 1.832e-02, eta: 14:02:28, time: 0.458, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9962, loss_cls: 0.4409, loss: 0.4409 2023-12-24 17:22:29,993 - pyskl - INFO - Epoch [52][1200/1281] lr: 1.831e-02, eta: 14:02:01, time: 0.474, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9950, loss_cls: 0.4714, loss: 0.4714 2023-12-24 17:23:08,785 - pyskl - INFO - Saving checkpoint at 52 epochs 2023-12-24 17:24:28,632 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 17:24:28,720 - pyskl - INFO - top1_acc 0.8451 top5_acc 0.9853 2023-12-24 17:24:28,721 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 17:24:28,744 - pyskl - INFO - mean_acc 0.7888 2023-12-24 17:24:28,763 - pyskl - INFO - Epoch(val) [52][533] top1_acc: 0.8451, top5_acc: 0.9853, mean_class_accuracy: 0.7888 2023-12-24 17:25:19,359 - pyskl - INFO - Epoch [53][100/1281] lr: 1.827e-02, eta: 14:00:07, time: 0.506, data_time: 0.222, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9975, loss_cls: 0.4088, loss: 0.4088 2023-12-24 17:26:05,827 - pyskl - INFO - Epoch [53][200/1281] lr: 1.826e-02, eta: 13:59:38, time: 0.465, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 0.3736, loss: 0.3736 2023-12-24 17:26:30,193 - pyskl - INFO - Epoch [53][300/1281] lr: 1.824e-02, eta: 13:58:28, time: 0.244, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 0.4026, loss: 0.4026 2023-12-24 17:27:15,635 - pyskl - INFO - Epoch [53][400/1281] lr: 1.822e-02, eta: 13:57:58, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9956, loss_cls: 0.4498, loss: 0.4498 2023-12-24 17:28:02,645 - pyskl - INFO - Epoch [53][500/1281] lr: 1.820e-02, eta: 13:57:31, time: 0.470, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9950, loss_cls: 0.4053, loss: 0.4053 2023-12-24 17:28:48,073 - pyskl - INFO - Epoch [53][600/1281] lr: 1.818e-02, eta: 13:57:00, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9956, loss_cls: 0.4520, loss: 0.4520 2023-12-24 17:29:32,019 - pyskl - INFO - Epoch [53][700/1281] lr: 1.816e-02, eta: 13:56:27, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9962, loss_cls: 0.4618, loss: 0.4618 2023-12-24 17:30:16,579 - pyskl - INFO - Epoch [53][800/1281] lr: 1.815e-02, eta: 13:55:55, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9962, loss_cls: 0.4269, loss: 0.4269 2023-12-24 17:31:03,249 - pyskl - INFO - Epoch [53][900/1281] lr: 1.813e-02, eta: 13:55:26, time: 0.467, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9950, loss_cls: 0.4777, loss: 0.4777 2023-12-24 17:31:49,094 - pyskl - INFO - Epoch [53][1000/1281] lr: 1.811e-02, eta: 13:54:57, time: 0.458, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9950, loss_cls: 0.4550, loss: 0.4550 2023-12-24 17:32:35,275 - pyskl - INFO - Epoch [53][1100/1281] lr: 1.809e-02, eta: 13:54:27, time: 0.462, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9969, loss_cls: 0.4117, loss: 0.4117 2023-12-24 17:33:21,510 - pyskl - INFO - Epoch [53][1200/1281] lr: 1.807e-02, eta: 13:53:58, time: 0.462, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9956, loss_cls: 0.4566, loss: 0.4566 2023-12-24 17:33:58,325 - pyskl - INFO - Saving checkpoint at 53 epochs 2023-12-24 17:35:14,599 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 17:35:14,669 - pyskl - INFO - top1_acc 0.8351 top5_acc 0.9860 2023-12-24 17:35:14,671 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 17:35:14,693 - pyskl - INFO - mean_acc 0.7708 2023-12-24 17:35:14,699 - pyskl - INFO - Epoch(val) [53][533] top1_acc: 0.8351, top5_acc: 0.9860, mean_class_accuracy: 0.7708 2023-12-24 17:36:10,238 - pyskl - INFO - Epoch [54][100/1281] lr: 1.804e-02, eta: 13:52:14, time: 0.555, data_time: 0.268, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9962, loss_cls: 0.4236, loss: 0.4236 2023-12-24 17:36:57,313 - pyskl - INFO - Epoch [54][200/1281] lr: 1.802e-02, eta: 13:51:46, time: 0.471, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9988, loss_cls: 0.4010, loss: 0.4010 2023-12-24 17:37:23,589 - pyskl - INFO - Epoch [54][300/1281] lr: 1.800e-02, eta: 13:50:40, time: 0.263, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9944, loss_cls: 0.4007, loss: 0.4007 2023-12-24 17:38:06,226 - pyskl - INFO - Epoch [54][400/1281] lr: 1.798e-02, eta: 13:50:04, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9962, loss_cls: 0.3559, loss: 0.3559 2023-12-24 17:38:49,196 - pyskl - INFO - Epoch [54][500/1281] lr: 1.797e-02, eta: 13:49:29, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9950, loss_cls: 0.4359, loss: 0.4359 2023-12-24 17:39:32,319 - pyskl - INFO - Epoch [54][600/1281] lr: 1.795e-02, eta: 13:48:54, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9962, loss_cls: 0.4697, loss: 0.4697 2023-12-24 17:40:18,766 - pyskl - INFO - Epoch [54][700/1281] lr: 1.793e-02, eta: 13:48:25, time: 0.464, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9956, loss_cls: 0.4653, loss: 0.4653 2023-12-24 17:41:03,879 - pyskl - INFO - Epoch [54][800/1281] lr: 1.791e-02, eta: 13:47:54, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9962, loss_cls: 0.4180, loss: 0.4180 2023-12-24 17:41:48,997 - pyskl - INFO - Epoch [54][900/1281] lr: 1.789e-02, eta: 13:47:22, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9969, loss_cls: 0.3824, loss: 0.3824 2023-12-24 17:42:35,720 - pyskl - INFO - Epoch [54][1000/1281] lr: 1.787e-02, eta: 13:46:54, time: 0.467, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9962, loss_cls: 0.4395, loss: 0.4395 2023-12-24 17:43:20,658 - pyskl - INFO - Epoch [54][1100/1281] lr: 1.786e-02, eta: 13:46:22, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9888, loss_cls: 0.5559, loss: 0.5559 2023-12-24 17:44:04,755 - pyskl - INFO - Epoch [54][1200/1281] lr: 1.784e-02, eta: 13:45:48, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9950, loss_cls: 0.4859, loss: 0.4859 2023-12-24 17:44:43,557 - pyskl - INFO - Saving checkpoint at 54 epochs 2023-12-24 17:46:07,133 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 17:46:07,217 - pyskl - INFO - top1_acc 0.8561 top5_acc 0.9892 2023-12-24 17:46:07,217 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 17:46:07,234 - pyskl - INFO - mean_acc 0.8056 2023-12-24 17:46:07,241 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_49.pth was removed 2023-12-24 17:46:07,556 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_54.pth. 2023-12-24 17:46:07,556 - pyskl - INFO - Best top1_acc is 0.8561 at 54 epoch. 2023-12-24 17:46:07,559 - pyskl - INFO - Epoch(val) [54][533] top1_acc: 0.8561, top5_acc: 0.9892, mean_class_accuracy: 0.8056 2023-12-24 17:47:02,403 - pyskl - INFO - Epoch [55][100/1281] lr: 1.780e-02, eta: 13:44:03, time: 0.548, data_time: 0.254, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9956, loss_cls: 0.4241, loss: 0.4241 2023-12-24 17:47:48,480 - pyskl - INFO - Epoch [55][200/1281] lr: 1.779e-02, eta: 13:43:34, time: 0.461, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 0.3853, loss: 0.3853 2023-12-24 17:48:12,601 - pyskl - INFO - Epoch [55][300/1281] lr: 1.777e-02, eta: 13:42:25, time: 0.241, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9975, loss_cls: 0.4367, loss: 0.4367 2023-12-24 17:48:55,423 - pyskl - INFO - Epoch [55][400/1281] lr: 1.775e-02, eta: 13:41:49, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9969, loss_cls: 0.4147, loss: 0.4147 2023-12-24 17:49:43,554 - pyskl - INFO - Epoch [55][500/1281] lr: 1.773e-02, eta: 13:41:23, time: 0.481, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9981, loss_cls: 0.3892, loss: 0.3892 2023-12-24 17:50:31,232 - pyskl - INFO - Epoch [55][600/1281] lr: 1.771e-02, eta: 13:40:56, time: 0.477, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9956, loss_cls: 0.3915, loss: 0.3915 2023-12-24 17:51:18,016 - pyskl - INFO - Epoch [55][700/1281] lr: 1.769e-02, eta: 13:40:27, time: 0.468, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9969, loss_cls: 0.4368, loss: 0.4368 2023-12-24 17:52:04,848 - pyskl - INFO - Epoch [55][800/1281] lr: 1.767e-02, eta: 13:39:58, time: 0.468, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9944, loss_cls: 0.4359, loss: 0.4359 2023-12-24 17:52:52,294 - pyskl - INFO - Epoch [55][900/1281] lr: 1.766e-02, eta: 13:39:30, time: 0.474, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9962, loss_cls: 0.4048, loss: 0.4048 2023-12-24 17:53:38,558 - pyskl - INFO - Epoch [55][1000/1281] lr: 1.764e-02, eta: 13:39:00, time: 0.463, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 0.4595, loss: 0.4595 2023-12-24 17:54:22,344 - pyskl - INFO - Epoch [55][1100/1281] lr: 1.762e-02, eta: 13:38:26, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9919, loss_cls: 0.5217, loss: 0.5217 2023-12-24 17:55:09,725 - pyskl - INFO - Epoch [55][1200/1281] lr: 1.760e-02, eta: 13:37:58, time: 0.474, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9950, loss_cls: 0.5189, loss: 0.5189 2023-12-24 17:55:48,269 - pyskl - INFO - Saving checkpoint at 55 epochs 2023-12-24 17:57:10,757 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 17:57:10,835 - pyskl - INFO - top1_acc 0.8499 top5_acc 0.9911 2023-12-24 17:57:10,835 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 17:57:10,851 - pyskl - INFO - mean_acc 0.8072 2023-12-24 17:57:10,859 - pyskl - INFO - Epoch(val) [55][533] top1_acc: 0.8499, top5_acc: 0.9911, mean_class_accuracy: 0.8072 2023-12-24 17:58:06,434 - pyskl - INFO - Epoch [56][100/1281] lr: 1.757e-02, eta: 13:36:15, time: 0.556, data_time: 0.251, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9962, loss_cls: 0.3613, loss: 0.3613 2023-12-24 17:58:52,137 - pyskl - INFO - Epoch [56][200/1281] lr: 1.755e-02, eta: 13:35:44, time: 0.457, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9962, loss_cls: 0.4084, loss: 0.4084 2023-12-24 17:59:15,208 - pyskl - INFO - Epoch [56][300/1281] lr: 1.753e-02, eta: 13:34:34, time: 0.231, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 0.3609, loss: 0.3609 2023-12-24 17:59:58,267 - pyskl - INFO - Epoch [56][400/1281] lr: 1.751e-02, eta: 13:33:59, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9981, loss_cls: 0.3611, loss: 0.3611 2023-12-24 18:00:45,945 - pyskl - INFO - Epoch [56][500/1281] lr: 1.749e-02, eta: 13:33:31, time: 0.477, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9975, loss_cls: 0.4008, loss: 0.4008 2023-12-24 18:01:32,575 - pyskl - INFO - Epoch [56][600/1281] lr: 1.747e-02, eta: 13:33:02, time: 0.466, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9975, loss_cls: 0.4010, loss: 0.4010 2023-12-24 18:02:20,221 - pyskl - INFO - Epoch [56][700/1281] lr: 1.745e-02, eta: 13:32:34, time: 0.476, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9950, loss_cls: 0.4564, loss: 0.4564 2023-12-24 18:03:07,463 - pyskl - INFO - Epoch [56][800/1281] lr: 1.743e-02, eta: 13:32:06, time: 0.472, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9975, loss_cls: 0.4295, loss: 0.4295 2023-12-24 18:03:50,972 - pyskl - INFO - Epoch [56][900/1281] lr: 1.742e-02, eta: 13:31:31, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9938, loss_cls: 0.4681, loss: 0.4681 2023-12-24 18:04:34,849 - pyskl - INFO - Epoch [56][1000/1281] lr: 1.740e-02, eta: 13:30:56, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9931, loss_cls: 0.4126, loss: 0.4126 2023-12-24 18:05:21,550 - pyskl - INFO - Epoch [56][1100/1281] lr: 1.738e-02, eta: 13:30:27, time: 0.467, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9950, loss_cls: 0.4470, loss: 0.4470 2023-12-24 18:06:08,510 - pyskl - INFO - Epoch [56][1200/1281] lr: 1.736e-02, eta: 13:29:58, time: 0.470, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9969, loss_cls: 0.4565, loss: 0.4565 2023-12-24 18:06:47,508 - pyskl - INFO - Saving checkpoint at 56 epochs 2023-12-24 18:08:06,530 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 18:08:06,610 - pyskl - INFO - top1_acc 0.8331 top5_acc 0.9838 2023-12-24 18:08:06,610 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 18:08:06,628 - pyskl - INFO - mean_acc 0.7953 2023-12-24 18:08:06,635 - pyskl - INFO - Epoch(val) [56][533] top1_acc: 0.8331, top5_acc: 0.9838, mean_class_accuracy: 0.7953 2023-12-24 18:08:54,850 - pyskl - INFO - Epoch [57][100/1281] lr: 1.733e-02, eta: 13:28:03, time: 0.482, data_time: 0.207, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9994, loss_cls: 0.3748, loss: 0.3748 2023-12-24 18:09:40,470 - pyskl - INFO - Epoch [57][200/1281] lr: 1.731e-02, eta: 13:27:32, time: 0.456, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9944, loss_cls: 0.3978, loss: 0.3978 2023-12-24 18:10:07,813 - pyskl - INFO - Epoch [57][300/1281] lr: 1.729e-02, eta: 13:26:30, time: 0.273, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9981, loss_cls: 0.3777, loss: 0.3777 2023-12-24 18:10:50,794 - pyskl - INFO - Epoch [57][400/1281] lr: 1.727e-02, eta: 13:25:54, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9988, loss_cls: 0.4135, loss: 0.4135 2023-12-24 18:11:38,565 - pyskl - INFO - Epoch [57][500/1281] lr: 1.725e-02, eta: 13:25:26, time: 0.478, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9988, loss_cls: 0.3559, loss: 0.3559 2023-12-24 18:12:25,209 - pyskl - INFO - Epoch [57][600/1281] lr: 1.723e-02, eta: 13:24:56, time: 0.466, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9988, loss_cls: 0.3875, loss: 0.3875 2023-12-24 18:13:11,126 - pyskl - INFO - Epoch [57][700/1281] lr: 1.721e-02, eta: 13:24:25, time: 0.459, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9969, loss_cls: 0.3924, loss: 0.3924 2023-12-24 18:13:55,235 - pyskl - INFO - Epoch [57][800/1281] lr: 1.719e-02, eta: 13:23:51, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9956, loss_cls: 0.4653, loss: 0.4653 2023-12-24 18:14:38,262 - pyskl - INFO - Epoch [57][900/1281] lr: 1.717e-02, eta: 13:23:15, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9969, loss_cls: 0.4669, loss: 0.4669 2023-12-24 18:15:22,824 - pyskl - INFO - Epoch [57][1000/1281] lr: 1.716e-02, eta: 13:22:42, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9950, loss_cls: 0.5437, loss: 0.5437 2023-12-24 18:16:09,607 - pyskl - INFO - Epoch [57][1100/1281] lr: 1.714e-02, eta: 13:22:12, time: 0.468, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9962, loss_cls: 0.4314, loss: 0.4314 2023-12-24 18:16:54,352 - pyskl - INFO - Epoch [57][1200/1281] lr: 1.712e-02, eta: 13:21:39, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9975, loss_cls: 0.4119, loss: 0.4119 2023-12-24 18:17:31,723 - pyskl - INFO - Saving checkpoint at 57 epochs 2023-12-24 18:18:48,424 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 18:18:48,510 - pyskl - INFO - top1_acc 0.8402 top5_acc 0.9867 2023-12-24 18:18:48,510 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 18:18:48,518 - pyskl - INFO - mean_acc 0.7926 2023-12-24 18:18:48,521 - pyskl - INFO - Epoch(val) [57][533] top1_acc: 0.8402, top5_acc: 0.9867, mean_class_accuracy: 0.7926 2023-12-24 18:19:34,267 - pyskl - INFO - Epoch [58][100/1281] lr: 1.708e-02, eta: 13:19:42, time: 0.457, data_time: 0.212, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9969, loss_cls: 0.3881, loss: 0.3881 2023-12-24 18:20:20,268 - pyskl - INFO - Epoch [58][200/1281] lr: 1.706e-02, eta: 13:19:11, time: 0.460, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9962, loss_cls: 0.4419, loss: 0.4419 2023-12-24 18:20:50,269 - pyskl - INFO - Epoch [58][300/1281] lr: 1.704e-02, eta: 13:18:14, time: 0.300, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9956, loss_cls: 0.4181, loss: 0.4181 2023-12-24 18:21:29,269 - pyskl - INFO - Epoch [58][400/1281] lr: 1.703e-02, eta: 13:17:31, time: 0.390, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9962, loss_cls: 0.3878, loss: 0.3878 2023-12-24 18:22:12,285 - pyskl - INFO - Epoch [58][500/1281] lr: 1.701e-02, eta: 13:16:55, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9956, loss_cls: 0.3969, loss: 0.3969 2023-12-24 18:22:55,358 - pyskl - INFO - Epoch [58][600/1281] lr: 1.699e-02, eta: 13:16:19, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9969, loss_cls: 0.4060, loss: 0.4060 2023-12-24 18:23:38,484 - pyskl - INFO - Epoch [58][700/1281] lr: 1.697e-02, eta: 13:15:44, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9944, loss_cls: 0.4510, loss: 0.4510 2023-12-24 18:24:24,343 - pyskl - INFO - Epoch [58][800/1281] lr: 1.695e-02, eta: 13:15:12, time: 0.459, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.3939, loss: 0.3939 2023-12-24 18:25:10,538 - pyskl - INFO - Epoch [58][900/1281] lr: 1.693e-02, eta: 13:14:41, time: 0.462, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9944, loss_cls: 0.4569, loss: 0.4569 2023-12-24 18:25:55,196 - pyskl - INFO - Epoch [58][1000/1281] lr: 1.691e-02, eta: 13:14:08, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9944, loss_cls: 0.4638, loss: 0.4638 2023-12-24 18:26:39,704 - pyskl - INFO - Epoch [58][1100/1281] lr: 1.689e-02, eta: 13:13:34, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9988, loss_cls: 0.4532, loss: 0.4532 2023-12-24 18:27:24,361 - pyskl - INFO - Epoch [58][1200/1281] lr: 1.687e-02, eta: 13:13:01, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 0.3790, loss: 0.3790 2023-12-24 18:28:01,507 - pyskl - INFO - Saving checkpoint at 58 epochs 2023-12-24 18:29:20,698 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 18:29:20,780 - pyskl - INFO - top1_acc 0.8316 top5_acc 0.9830 2023-12-24 18:29:20,780 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 18:29:20,796 - pyskl - INFO - mean_acc 0.7904 2023-12-24 18:29:20,800 - pyskl - INFO - Epoch(val) [58][533] top1_acc: 0.8316, top5_acc: 0.9830, mean_class_accuracy: 0.7904 2023-12-24 18:30:11,925 - pyskl - INFO - Epoch [59][100/1281] lr: 1.684e-02, eta: 13:11:13, time: 0.511, data_time: 0.252, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 0.3760, loss: 0.3760 2023-12-24 18:30:56,257 - pyskl - INFO - Epoch [59][200/1281] lr: 1.682e-02, eta: 13:10:39, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9975, loss_cls: 0.3625, loss: 0.3625 2023-12-24 18:31:25,786 - pyskl - INFO - Epoch [59][300/1281] lr: 1.680e-02, eta: 13:09:42, time: 0.295, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 0.3796, loss: 0.3796 2023-12-24 18:32:02,789 - pyskl - INFO - Epoch [59][400/1281] lr: 1.678e-02, eta: 13:08:56, time: 0.370, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9969, loss_cls: 0.4211, loss: 0.4211 2023-12-24 18:32:45,811 - pyskl - INFO - Epoch [59][500/1281] lr: 1.676e-02, eta: 13:08:20, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9962, loss_cls: 0.3852, loss: 0.3852 2023-12-24 18:33:29,265 - pyskl - INFO - Epoch [59][600/1281] lr: 1.674e-02, eta: 13:07:45, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9962, loss_cls: 0.4201, loss: 0.4201 2023-12-24 18:34:12,495 - pyskl - INFO - Epoch [59][700/1281] lr: 1.672e-02, eta: 13:07:09, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9981, loss_cls: 0.3656, loss: 0.3656 2023-12-24 18:34:55,398 - pyskl - INFO - Epoch [59][800/1281] lr: 1.670e-02, eta: 13:06:33, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9950, loss_cls: 0.4182, loss: 0.4182 2023-12-24 18:35:39,092 - pyskl - INFO - Epoch [59][900/1281] lr: 1.668e-02, eta: 13:05:58, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9950, loss_cls: 0.4169, loss: 0.4169 2023-12-24 18:36:23,926 - pyskl - INFO - Epoch [59][1000/1281] lr: 1.667e-02, eta: 13:05:24, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9962, loss_cls: 0.4367, loss: 0.4367 2023-12-24 18:37:07,173 - pyskl - INFO - Epoch [59][1100/1281] lr: 1.665e-02, eta: 13:04:48, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9956, loss_cls: 0.4258, loss: 0.4258 2023-12-24 18:37:50,612 - pyskl - INFO - Epoch [59][1200/1281] lr: 1.663e-02, eta: 13:04:13, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9994, loss_cls: 0.3871, loss: 0.3871 2023-12-24 18:38:26,393 - pyskl - INFO - Saving checkpoint at 59 epochs 2023-12-24 18:39:42,615 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 18:39:42,680 - pyskl - INFO - top1_acc 0.8609 top5_acc 0.9884 2023-12-24 18:39:42,680 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 18:39:42,700 - pyskl - INFO - mean_acc 0.8189 2023-12-24 18:39:42,712 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_54.pth was removed 2023-12-24 18:39:42,959 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_59.pth. 2023-12-24 18:39:42,960 - pyskl - INFO - Best top1_acc is 0.8609 at 59 epoch. 2023-12-24 18:39:42,969 - pyskl - INFO - Epoch(val) [59][533] top1_acc: 0.8609, top5_acc: 0.9884, mean_class_accuracy: 0.8189 2023-12-24 18:40:31,438 - pyskl - INFO - Epoch [60][100/1281] lr: 1.659e-02, eta: 13:02:22, time: 0.485, data_time: 0.238, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9962, loss_cls: 0.3584, loss: 0.3584 2023-12-24 18:41:16,918 - pyskl - INFO - Epoch [60][200/1281] lr: 1.657e-02, eta: 13:01:50, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 0.3013, loss: 0.3013 2023-12-24 18:41:44,557 - pyskl - INFO - Epoch [60][300/1281] lr: 1.655e-02, eta: 13:00:50, time: 0.276, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9969, loss_cls: 0.3891, loss: 0.3891 2023-12-24 18:42:24,235 - pyskl - INFO - Epoch [60][400/1281] lr: 1.653e-02, eta: 13:00:09, time: 0.397, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9969, loss_cls: 0.3856, loss: 0.3856 2023-12-24 18:43:08,513 - pyskl - INFO - Epoch [60][500/1281] lr: 1.651e-02, eta: 12:59:35, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 0.3950, loss: 0.3950 2023-12-24 18:43:51,784 - pyskl - INFO - Epoch [60][600/1281] lr: 1.650e-02, eta: 12:58:59, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9950, loss_cls: 0.4512, loss: 0.4512 2023-12-24 18:44:35,108 - pyskl - INFO - Epoch [60][700/1281] lr: 1.648e-02, eta: 12:58:23, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9962, loss_cls: 0.3636, loss: 0.3636 2023-12-24 18:45:17,943 - pyskl - INFO - Epoch [60][800/1281] lr: 1.646e-02, eta: 12:57:47, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9956, loss_cls: 0.4352, loss: 0.4352 2023-12-24 18:46:02,697 - pyskl - INFO - Epoch [60][900/1281] lr: 1.644e-02, eta: 12:57:13, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 0.4255, loss: 0.4255 2023-12-24 18:46:47,526 - pyskl - INFO - Epoch [60][1000/1281] lr: 1.642e-02, eta: 12:56:40, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9950, loss_cls: 0.3980, loss: 0.3980 2023-12-24 18:47:30,914 - pyskl - INFO - Epoch [60][1100/1281] lr: 1.640e-02, eta: 12:56:04, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9988, loss_cls: 0.3676, loss: 0.3676 2023-12-24 18:48:15,827 - pyskl - INFO - Epoch [60][1200/1281] lr: 1.638e-02, eta: 12:55:30, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9975, loss_cls: 0.4328, loss: 0.4328 2023-12-24 18:48:52,895 - pyskl - INFO - Saving checkpoint at 60 epochs 2023-12-24 18:50:09,244 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 18:50:09,304 - pyskl - INFO - top1_acc 0.8168 top5_acc 0.9752 2023-12-24 18:50:09,304 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 18:50:09,312 - pyskl - INFO - mean_acc 0.7709 2023-12-24 18:50:09,322 - pyskl - INFO - Epoch(val) [60][533] top1_acc: 0.8168, top5_acc: 0.9752, mean_class_accuracy: 0.7709 2023-12-24 18:50:56,928 - pyskl - INFO - Epoch [61][100/1281] lr: 1.634e-02, eta: 12:53:39, time: 0.476, data_time: 0.236, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9962, loss_cls: 0.3619, loss: 0.3619 2023-12-24 18:51:42,196 - pyskl - INFO - Epoch [61][200/1281] lr: 1.632e-02, eta: 12:53:06, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 0.3807, loss: 0.3807 2023-12-24 18:52:10,143 - pyskl - INFO - Epoch [61][300/1281] lr: 1.630e-02, eta: 12:52:08, time: 0.279, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9956, loss_cls: 0.3675, loss: 0.3675 2023-12-24 18:52:48,299 - pyskl - INFO - Epoch [61][400/1281] lr: 1.629e-02, eta: 12:51:24, time: 0.382, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9988, loss_cls: 0.3499, loss: 0.3499 2023-12-24 18:53:31,304 - pyskl - INFO - Epoch [61][500/1281] lr: 1.627e-02, eta: 12:50:48, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9956, loss_cls: 0.3385, loss: 0.3385 2023-12-24 18:54:14,759 - pyskl - INFO - Epoch [61][600/1281] lr: 1.625e-02, eta: 12:50:12, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9962, loss_cls: 0.4040, loss: 0.4040 2023-12-24 18:54:58,399 - pyskl - INFO - Epoch [61][700/1281] lr: 1.623e-02, eta: 12:49:37, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 0.3893, loss: 0.3893 2023-12-24 18:55:42,143 - pyskl - INFO - Epoch [61][800/1281] lr: 1.621e-02, eta: 12:49:02, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9956, loss_cls: 0.4163, loss: 0.4163 2023-12-24 18:56:25,992 - pyskl - INFO - Epoch [61][900/1281] lr: 1.619e-02, eta: 12:48:27, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9956, loss_cls: 0.4074, loss: 0.4074 2023-12-24 18:57:08,993 - pyskl - INFO - Epoch [61][1000/1281] lr: 1.617e-02, eta: 12:47:50, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9981, loss_cls: 0.3860, loss: 0.3860 2023-12-24 18:57:52,152 - pyskl - INFO - Epoch [61][1100/1281] lr: 1.615e-02, eta: 12:47:14, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9962, loss_cls: 0.4017, loss: 0.4017 2023-12-24 18:58:35,398 - pyskl - INFO - Epoch [61][1200/1281] lr: 1.613e-02, eta: 12:46:38, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9950, loss_cls: 0.4315, loss: 0.4315 2023-12-24 18:59:11,049 - pyskl - INFO - Saving checkpoint at 61 epochs 2023-12-24 19:00:27,034 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 19:00:27,116 - pyskl - INFO - top1_acc 0.8392 top5_acc 0.9826 2023-12-24 19:00:27,116 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 19:00:27,133 - pyskl - INFO - mean_acc 0.7957 2023-12-24 19:00:27,139 - pyskl - INFO - Epoch(val) [61][533] top1_acc: 0.8392, top5_acc: 0.9826, mean_class_accuracy: 0.7957 2023-12-24 19:01:13,998 - pyskl - INFO - Epoch [62][100/1281] lr: 1.609e-02, eta: 12:44:47, time: 0.468, data_time: 0.222, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9988, loss_cls: 0.3746, loss: 0.3746 2023-12-24 19:01:59,783 - pyskl - INFO - Epoch [62][200/1281] lr: 1.607e-02, eta: 12:44:15, time: 0.458, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 1.0000, loss_cls: 0.3753, loss: 0.3753 2023-12-24 19:02:27,572 - pyskl - INFO - Epoch [62][300/1281] lr: 1.605e-02, eta: 12:43:17, time: 0.278, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 0.3513, loss: 0.3513 2023-12-24 19:03:06,869 - pyskl - INFO - Epoch [62][400/1281] lr: 1.603e-02, eta: 12:42:35, time: 0.393, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9975, loss_cls: 0.3572, loss: 0.3572 2023-12-24 19:03:49,688 - pyskl - INFO - Epoch [62][500/1281] lr: 1.602e-02, eta: 12:41:58, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.3882, loss: 0.3882 2023-12-24 19:04:32,857 - pyskl - INFO - Epoch [62][600/1281] lr: 1.600e-02, eta: 12:41:22, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 0.3794, loss: 0.3794 2023-12-24 19:05:16,187 - pyskl - INFO - Epoch [62][700/1281] lr: 1.598e-02, eta: 12:40:46, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9969, loss_cls: 0.3795, loss: 0.3795 2023-12-24 19:06:01,067 - pyskl - INFO - Epoch [62][800/1281] lr: 1.596e-02, eta: 12:40:13, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9950, loss_cls: 0.3869, loss: 0.3869 2023-12-24 19:06:46,254 - pyskl - INFO - Epoch [62][900/1281] lr: 1.594e-02, eta: 12:39:39, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9956, loss_cls: 0.4131, loss: 0.4131 2023-12-24 19:07:30,384 - pyskl - INFO - Epoch [62][1000/1281] lr: 1.592e-02, eta: 12:39:04, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9950, loss_cls: 0.4443, loss: 0.4443 2023-12-24 19:08:13,897 - pyskl - INFO - Epoch [62][1100/1281] lr: 1.590e-02, eta: 12:38:29, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9944, loss_cls: 0.4076, loss: 0.4076 2023-12-24 19:08:58,206 - pyskl - INFO - Epoch [62][1200/1281] lr: 1.588e-02, eta: 12:37:54, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9962, loss_cls: 0.4026, loss: 0.4026 2023-12-24 19:09:33,910 - pyskl - INFO - Saving checkpoint at 62 epochs 2023-12-24 19:10:51,612 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 19:10:51,680 - pyskl - INFO - top1_acc 0.8363 top5_acc 0.9871 2023-12-24 19:10:51,681 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 19:10:51,688 - pyskl - INFO - mean_acc 0.7849 2023-12-24 19:10:51,691 - pyskl - INFO - Epoch(val) [62][533] top1_acc: 0.8363, top5_acc: 0.9871, mean_class_accuracy: 0.7849 2023-12-24 19:11:38,460 - pyskl - INFO - Epoch [63][100/1281] lr: 1.584e-02, eta: 12:36:04, time: 0.468, data_time: 0.223, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9994, loss_cls: 0.3434, loss: 0.3434 2023-12-24 19:12:23,759 - pyskl - INFO - Epoch [63][200/1281] lr: 1.582e-02, eta: 12:35:31, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9988, loss_cls: 0.3482, loss: 0.3482 2023-12-24 19:12:49,753 - pyskl - INFO - Epoch [63][300/1281] lr: 1.580e-02, eta: 12:34:30, time: 0.260, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 0.3656, loss: 0.3656 2023-12-24 19:13:28,713 - pyskl - INFO - Epoch [63][400/1281] lr: 1.578e-02, eta: 12:33:48, time: 0.390, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9956, loss_cls: 0.3796, loss: 0.3796 2023-12-24 19:14:11,857 - pyskl - INFO - Epoch [63][500/1281] lr: 1.576e-02, eta: 12:33:12, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9969, loss_cls: 0.4013, loss: 0.4013 2023-12-24 19:14:56,214 - pyskl - INFO - Epoch [63][600/1281] lr: 1.574e-02, eta: 12:32:37, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 0.4077, loss: 0.4077 2023-12-24 19:15:40,427 - pyskl - INFO - Epoch [63][700/1281] lr: 1.572e-02, eta: 12:32:03, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9981, loss_cls: 0.3813, loss: 0.3813 2023-12-24 19:16:24,561 - pyskl - INFO - Epoch [63][800/1281] lr: 1.570e-02, eta: 12:31:28, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9956, loss_cls: 0.4145, loss: 0.4145 2023-12-24 19:17:07,667 - pyskl - INFO - Epoch [63][900/1281] lr: 1.568e-02, eta: 12:30:51, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 0.3912, loss: 0.3912 2023-12-24 19:17:50,665 - pyskl - INFO - Epoch [63][1000/1281] lr: 1.566e-02, eta: 12:30:15, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9962, loss_cls: 0.3855, loss: 0.3855 2023-12-24 19:18:35,562 - pyskl - INFO - Epoch [63][1100/1281] lr: 1.564e-02, eta: 12:29:41, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9975, loss_cls: 0.3333, loss: 0.3333 2023-12-24 19:19:19,633 - pyskl - INFO - Epoch [63][1200/1281] lr: 1.562e-02, eta: 12:29:06, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9962, loss_cls: 0.3931, loss: 0.3931 2023-12-24 19:19:56,455 - pyskl - INFO - Saving checkpoint at 63 epochs 2023-12-24 19:21:12,550 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 19:21:12,619 - pyskl - INFO - top1_acc 0.8437 top5_acc 0.9857 2023-12-24 19:21:12,619 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 19:21:12,628 - pyskl - INFO - mean_acc 0.7913 2023-12-24 19:21:12,633 - pyskl - INFO - Epoch(val) [63][533] top1_acc: 0.8437, top5_acc: 0.9857, mean_class_accuracy: 0.7913 2023-12-24 19:22:01,845 - pyskl - INFO - Epoch [64][100/1281] lr: 1.559e-02, eta: 12:27:20, time: 0.492, data_time: 0.236, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 0.3296, loss: 0.3296 2023-12-24 19:22:47,515 - pyskl - INFO - Epoch [64][200/1281] lr: 1.557e-02, eta: 12:26:47, time: 0.457, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 0.3476, loss: 0.3476 2023-12-24 19:23:13,035 - pyskl - INFO - Epoch [64][300/1281] lr: 1.555e-02, eta: 12:25:47, time: 0.255, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9969, loss_cls: 0.3466, loss: 0.3466 2023-12-24 19:23:54,505 - pyskl - INFO - Epoch [64][400/1281] lr: 1.553e-02, eta: 12:25:08, time: 0.415, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9975, loss_cls: 0.3974, loss: 0.3974 2023-12-24 19:24:37,391 - pyskl - INFO - Epoch [64][500/1281] lr: 1.551e-02, eta: 12:24:32, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9975, loss_cls: 0.3736, loss: 0.3736 2023-12-24 19:25:20,793 - pyskl - INFO - Epoch [64][600/1281] lr: 1.549e-02, eta: 12:23:56, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9994, loss_cls: 0.3411, loss: 0.3411 2023-12-24 19:26:05,233 - pyskl - INFO - Epoch [64][700/1281] lr: 1.547e-02, eta: 12:23:21, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9950, loss_cls: 0.4273, loss: 0.4273 2023-12-24 19:26:48,811 - pyskl - INFO - Epoch [64][800/1281] lr: 1.545e-02, eta: 12:22:45, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9969, loss_cls: 0.4216, loss: 0.4216 2023-12-24 19:27:32,695 - pyskl - INFO - Epoch [64][900/1281] lr: 1.543e-02, eta: 12:22:10, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9988, loss_cls: 0.4210, loss: 0.4210 2023-12-24 19:28:16,739 - pyskl - INFO - Epoch [64][1000/1281] lr: 1.541e-02, eta: 12:21:35, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9969, loss_cls: 0.4066, loss: 0.4066 2023-12-24 19:29:00,998 - pyskl - INFO - Epoch [64][1100/1281] lr: 1.539e-02, eta: 12:21:00, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9962, loss_cls: 0.4100, loss: 0.4100 2023-12-24 19:29:46,296 - pyskl - INFO - Epoch [64][1200/1281] lr: 1.537e-02, eta: 12:20:26, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9944, loss_cls: 0.3835, loss: 0.3835 2023-12-24 19:30:23,198 - pyskl - INFO - Saving checkpoint at 64 epochs 2023-12-24 19:31:41,207 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 19:31:41,274 - pyskl - INFO - top1_acc 0.8321 top5_acc 0.9852 2023-12-24 19:31:41,274 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 19:31:41,282 - pyskl - INFO - mean_acc 0.8010 2023-12-24 19:31:41,284 - pyskl - INFO - Epoch(val) [64][533] top1_acc: 0.8321, top5_acc: 0.9852, mean_class_accuracy: 0.8010 2023-12-24 19:32:25,692 - pyskl - INFO - Epoch [65][100/1281] lr: 1.533e-02, eta: 12:18:35, time: 0.444, data_time: 0.195, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9975, loss_cls: 0.3127, loss: 0.3127 2023-12-24 19:33:11,087 - pyskl - INFO - Epoch [65][200/1281] lr: 1.531e-02, eta: 12:18:02, time: 0.454, data_time: 0.000, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9981, loss_cls: 0.3755, loss: 0.3755 2023-12-24 19:33:35,088 - pyskl - INFO - Epoch [65][300/1281] lr: 1.529e-02, eta: 12:17:00, time: 0.240, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9969, loss_cls: 0.3662, loss: 0.3662 2023-12-24 19:34:17,090 - pyskl - INFO - Epoch [65][400/1281] lr: 1.527e-02, eta: 12:16:22, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9975, loss_cls: 0.3742, loss: 0.3742 2023-12-24 19:34:59,956 - pyskl - INFO - Epoch [65][500/1281] lr: 1.526e-02, eta: 12:15:45, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9962, loss_cls: 0.3773, loss: 0.3773 2023-12-24 19:35:42,865 - pyskl - INFO - Epoch [65][600/1281] lr: 1.524e-02, eta: 12:15:08, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 0.4037, loss: 0.4037 2023-12-24 19:36:25,871 - pyskl - INFO - Epoch [65][700/1281] lr: 1.522e-02, eta: 12:14:32, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9981, loss_cls: 0.3805, loss: 0.3805 2023-12-24 19:37:08,792 - pyskl - INFO - Epoch [65][800/1281] lr: 1.520e-02, eta: 12:13:55, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9962, loss_cls: 0.3594, loss: 0.3594 2023-12-24 19:37:51,534 - pyskl - INFO - Epoch [65][900/1281] lr: 1.518e-02, eta: 12:13:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9988, loss_cls: 0.3450, loss: 0.3450 2023-12-24 19:38:34,292 - pyskl - INFO - Epoch [65][1000/1281] lr: 1.516e-02, eta: 12:12:41, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9956, loss_cls: 0.4029, loss: 0.4029 2023-12-24 19:39:17,265 - pyskl - INFO - Epoch [65][1100/1281] lr: 1.514e-02, eta: 12:12:04, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9975, loss_cls: 0.4170, loss: 0.4170 2023-12-24 19:40:00,267 - pyskl - INFO - Epoch [65][1200/1281] lr: 1.512e-02, eta: 12:11:27, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9969, loss_cls: 0.4030, loss: 0.4030 2023-12-24 19:40:35,591 - pyskl - INFO - Saving checkpoint at 65 epochs 2023-12-24 19:41:49,436 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 19:41:49,491 - pyskl - INFO - top1_acc 0.8686 top5_acc 0.9898 2023-12-24 19:41:49,492 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 19:41:49,500 - pyskl - INFO - mean_acc 0.8298 2023-12-24 19:41:49,505 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_59.pth was removed 2023-12-24 19:41:49,695 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. 2023-12-24 19:41:49,696 - pyskl - INFO - Best top1_acc is 0.8686 at 65 epoch. 2023-12-24 19:41:49,699 - pyskl - INFO - Epoch(val) [65][533] top1_acc: 0.8686, top5_acc: 0.9898, mean_class_accuracy: 0.8298 2023-12-24 19:42:33,751 - pyskl - INFO - Epoch [66][100/1281] lr: 1.508e-02, eta: 12:09:37, time: 0.440, data_time: 0.182, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9988, loss_cls: 0.3122, loss: 0.3122 2023-12-24 19:43:19,105 - pyskl - INFO - Epoch [66][200/1281] lr: 1.506e-02, eta: 12:09:03, time: 0.454, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9988, loss_cls: 0.3233, loss: 0.3233 2023-12-24 19:43:42,945 - pyskl - INFO - Epoch [66][300/1281] lr: 1.504e-02, eta: 12:08:02, time: 0.238, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 1.0000, loss_cls: 0.3413, loss: 0.3413 2023-12-24 19:44:23,832 - pyskl - INFO - Epoch [66][400/1281] lr: 1.502e-02, eta: 12:07:22, time: 0.409, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9969, loss_cls: 0.3570, loss: 0.3570 2023-12-24 19:45:06,475 - pyskl - INFO - Epoch [66][500/1281] lr: 1.500e-02, eta: 12:06:45, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9950, loss_cls: 0.3482, loss: 0.3482 2023-12-24 19:45:49,442 - pyskl - INFO - Epoch [66][600/1281] lr: 1.498e-02, eta: 12:06:08, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 0.3525, loss: 0.3525 2023-12-24 19:46:32,376 - pyskl - INFO - Epoch [66][700/1281] lr: 1.496e-02, eta: 12:05:32, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9988, loss_cls: 0.3442, loss: 0.3442 2023-12-24 19:47:15,671 - pyskl - INFO - Epoch [66][800/1281] lr: 1.494e-02, eta: 12:04:55, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9988, loss_cls: 0.3711, loss: 0.3711 2023-12-24 19:47:59,589 - pyskl - INFO - Epoch [66][900/1281] lr: 1.492e-02, eta: 12:04:20, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 0.3651, loss: 0.3651 2023-12-24 19:48:43,134 - pyskl - INFO - Epoch [66][1000/1281] lr: 1.490e-02, eta: 12:03:44, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9969, loss_cls: 0.3657, loss: 0.3657 2023-12-24 19:49:27,038 - pyskl - INFO - Epoch [66][1100/1281] lr: 1.488e-02, eta: 12:03:08, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9969, loss_cls: 0.3672, loss: 0.3672 2023-12-24 19:50:11,031 - pyskl - INFO - Epoch [66][1200/1281] lr: 1.486e-02, eta: 12:02:33, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 0.3866, loss: 0.3866 2023-12-24 19:50:47,157 - pyskl - INFO - Saving checkpoint at 66 epochs 2023-12-24 19:52:01,844 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 19:52:01,910 - pyskl - INFO - top1_acc 0.8436 top5_acc 0.9858 2023-12-24 19:52:01,910 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 19:52:01,918 - pyskl - INFO - mean_acc 0.7742 2023-12-24 19:52:01,919 - pyskl - INFO - Epoch(val) [66][533] top1_acc: 0.8436, top5_acc: 0.9858, mean_class_accuracy: 0.7742 2023-12-24 19:52:43,936 - pyskl - INFO - Epoch [67][100/1281] lr: 1.482e-02, eta: 12:00:41, time: 0.420, data_time: 0.175, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9988, loss_cls: 0.3620, loss: 0.3620 2023-12-24 19:53:29,363 - pyskl - INFO - Epoch [67][200/1281] lr: 1.480e-02, eta: 12:00:07, time: 0.454, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 0.3017, loss: 0.3017 2023-12-24 19:53:55,829 - pyskl - INFO - Epoch [67][300/1281] lr: 1.478e-02, eta: 11:59:09, time: 0.265, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9994, loss_cls: 0.2964, loss: 0.2964 2023-12-24 19:54:36,176 - pyskl - INFO - Epoch [67][400/1281] lr: 1.476e-02, eta: 11:58:29, time: 0.403, data_time: 0.000, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 0.3618, loss: 0.3618 2023-12-24 19:55:19,833 - pyskl - INFO - Epoch [67][500/1281] lr: 1.474e-02, eta: 11:57:54, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 0.3062, loss: 0.3062 2023-12-24 19:56:03,560 - pyskl - INFO - Epoch [67][600/1281] lr: 1.472e-02, eta: 11:57:18, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9969, loss_cls: 0.3254, loss: 0.3254 2023-12-24 19:56:47,487 - pyskl - INFO - Epoch [67][700/1281] lr: 1.470e-02, eta: 11:56:42, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9981, loss_cls: 0.3819, loss: 0.3819 2023-12-24 19:57:30,960 - pyskl - INFO - Epoch [67][800/1281] lr: 1.468e-02, eta: 11:56:06, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9969, loss_cls: 0.4012, loss: 0.4012 2023-12-24 19:58:13,916 - pyskl - INFO - Epoch [67][900/1281] lr: 1.466e-02, eta: 11:55:29, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9962, loss_cls: 0.3959, loss: 0.3959 2023-12-24 19:58:56,726 - pyskl - INFO - Epoch [67][1000/1281] lr: 1.464e-02, eta: 11:54:52, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9962, loss_cls: 0.4192, loss: 0.4192 2023-12-24 19:59:39,537 - pyskl - INFO - Epoch [67][1100/1281] lr: 1.462e-02, eta: 11:54:15, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 0.3641, loss: 0.3641 2023-12-24 20:00:22,348 - pyskl - INFO - Epoch [67][1200/1281] lr: 1.460e-02, eta: 11:53:38, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9975, loss_cls: 0.3586, loss: 0.3586 2023-12-24 20:00:57,536 - pyskl - INFO - Saving checkpoint at 67 epochs 2023-12-24 20:02:11,926 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 20:02:11,995 - pyskl - INFO - top1_acc 0.8476 top5_acc 0.9843 2023-12-24 20:02:11,995 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 20:02:12,004 - pyskl - INFO - mean_acc 0.8060 2023-12-24 20:02:12,006 - pyskl - INFO - Epoch(val) [67][533] top1_acc: 0.8476, top5_acc: 0.9843, mean_class_accuracy: 0.8060 2023-12-24 20:02:55,219 - pyskl - INFO - Epoch [68][100/1281] lr: 1.456e-02, eta: 11:51:49, time: 0.432, data_time: 0.176, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 0.3634, loss: 0.3634 2023-12-24 20:03:40,652 - pyskl - INFO - Epoch [68][200/1281] lr: 1.454e-02, eta: 11:51:15, time: 0.454, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9988, loss_cls: 0.2993, loss: 0.2993 2023-12-24 20:04:07,410 - pyskl - INFO - Epoch [68][300/1281] lr: 1.452e-02, eta: 11:50:18, time: 0.268, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 0.2863, loss: 0.2863 2023-12-24 20:04:47,305 - pyskl - INFO - Epoch [68][400/1281] lr: 1.450e-02, eta: 11:49:37, time: 0.399, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9994, loss_cls: 0.3126, loss: 0.3126 2023-12-24 20:05:30,966 - pyskl - INFO - Epoch [68][500/1281] lr: 1.448e-02, eta: 11:49:02, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9994, loss_cls: 0.3698, loss: 0.3698 2023-12-24 20:06:14,686 - pyskl - INFO - Epoch [68][600/1281] lr: 1.446e-02, eta: 11:48:26, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9969, loss_cls: 0.3324, loss: 0.3324 2023-12-24 20:06:58,467 - pyskl - INFO - Epoch [68][700/1281] lr: 1.444e-02, eta: 11:47:50, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9988, loss_cls: 0.3477, loss: 0.3477 2023-12-24 20:07:41,418 - pyskl - INFO - Epoch [68][800/1281] lr: 1.442e-02, eta: 11:47:13, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9975, loss_cls: 0.3736, loss: 0.3736 2023-12-24 20:08:25,313 - pyskl - INFO - Epoch [68][900/1281] lr: 1.440e-02, eta: 11:46:37, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9950, loss_cls: 0.3842, loss: 0.3842 2023-12-24 20:09:08,911 - pyskl - INFO - Epoch [68][1000/1281] lr: 1.438e-02, eta: 11:46:01, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9956, loss_cls: 0.3803, loss: 0.3803 2023-12-24 20:09:52,789 - pyskl - INFO - Epoch [68][1100/1281] lr: 1.436e-02, eta: 11:45:25, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9975, loss_cls: 0.3883, loss: 0.3883 2023-12-24 20:10:36,648 - pyskl - INFO - Epoch [68][1200/1281] lr: 1.434e-02, eta: 11:44:49, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9956, loss_cls: 0.4260, loss: 0.4260 2023-12-24 20:11:12,820 - pyskl - INFO - Saving checkpoint at 68 epochs 2023-12-24 20:12:27,726 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 20:12:27,792 - pyskl - INFO - top1_acc 0.8492 top5_acc 0.9881 2023-12-24 20:12:27,792 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 20:12:27,800 - pyskl - INFO - mean_acc 0.8055 2023-12-24 20:12:27,801 - pyskl - INFO - Epoch(val) [68][533] top1_acc: 0.8492, top5_acc: 0.9881, mean_class_accuracy: 0.8055 2023-12-24 20:13:11,139 - pyskl - INFO - Epoch [69][100/1281] lr: 1.431e-02, eta: 11:43:01, time: 0.433, data_time: 0.187, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9988, loss_cls: 0.3399, loss: 0.3399 2023-12-24 20:13:56,506 - pyskl - INFO - Epoch [69][200/1281] lr: 1.429e-02, eta: 11:42:27, time: 0.454, data_time: 0.000, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9994, loss_cls: 0.3491, loss: 0.3491 2023-12-24 20:14:21,984 - pyskl - INFO - Epoch [69][300/1281] lr: 1.427e-02, eta: 11:41:29, time: 0.255, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 0.3025, loss: 0.3025 2023-12-24 20:15:03,399 - pyskl - INFO - Epoch [69][400/1281] lr: 1.425e-02, eta: 11:40:51, time: 0.414, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9962, loss_cls: 0.3307, loss: 0.3307 2023-12-24 20:15:46,793 - pyskl - INFO - Epoch [69][500/1281] lr: 1.423e-02, eta: 11:40:14, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9988, loss_cls: 0.3286, loss: 0.3286 2023-12-24 20:16:30,231 - pyskl - INFO - Epoch [69][600/1281] lr: 1.420e-02, eta: 11:39:38, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9975, loss_cls: 0.3698, loss: 0.3698 2023-12-24 20:17:13,157 - pyskl - INFO - Epoch [69][700/1281] lr: 1.418e-02, eta: 11:39:01, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 0.3919, loss: 0.3919 2023-12-24 20:17:56,072 - pyskl - INFO - Epoch [69][800/1281] lr: 1.416e-02, eta: 11:38:24, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9962, loss_cls: 0.3426, loss: 0.3426 2023-12-24 20:18:38,872 - pyskl - INFO - Epoch [69][900/1281] lr: 1.414e-02, eta: 11:37:47, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9994, loss_cls: 0.3432, loss: 0.3432 2023-12-24 20:19:21,453 - pyskl - INFO - Epoch [69][1000/1281] lr: 1.412e-02, eta: 11:37:09, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9988, loss_cls: 0.3762, loss: 0.3762 2023-12-24 20:20:04,351 - pyskl - INFO - Epoch [69][1100/1281] lr: 1.410e-02, eta: 11:36:32, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9956, loss_cls: 0.4070, loss: 0.4070 2023-12-24 20:20:47,052 - pyskl - INFO - Epoch [69][1200/1281] lr: 1.408e-02, eta: 11:35:55, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 0.3196, loss: 0.3196 2023-12-24 20:21:22,241 - pyskl - INFO - Saving checkpoint at 69 epochs 2023-12-24 20:22:36,249 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 20:22:36,303 - pyskl - INFO - top1_acc 0.8535 top5_acc 0.9887 2023-12-24 20:22:36,303 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 20:22:36,309 - pyskl - INFO - mean_acc 0.8140 2023-12-24 20:22:36,311 - pyskl - INFO - Epoch(val) [69][533] top1_acc: 0.8535, top5_acc: 0.9887, mean_class_accuracy: 0.8140 2023-12-24 20:23:18,953 - pyskl - INFO - Epoch [70][100/1281] lr: 1.405e-02, eta: 11:34:07, time: 0.426, data_time: 0.173, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.2809, loss: 0.2809 2023-12-24 20:24:04,420 - pyskl - INFO - Epoch [70][200/1281] lr: 1.403e-02, eta: 11:33:33, time: 0.455, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9969, loss_cls: 0.3112, loss: 0.3112 2023-12-24 20:24:31,074 - pyskl - INFO - Epoch [70][300/1281] lr: 1.401e-02, eta: 11:32:37, time: 0.267, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 0.3221, loss: 0.3221 2023-12-24 20:25:10,284 - pyskl - INFO - Epoch [70][400/1281] lr: 1.399e-02, eta: 11:31:56, time: 0.392, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9994, loss_cls: 0.2958, loss: 0.2958 2023-12-24 20:25:53,426 - pyskl - INFO - Epoch [70][500/1281] lr: 1.397e-02, eta: 11:31:19, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9981, loss_cls: 0.3965, loss: 0.3965 2023-12-24 20:26:36,968 - pyskl - INFO - Epoch [70][600/1281] lr: 1.395e-02, eta: 11:30:43, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 0.3761, loss: 0.3761 2023-12-24 20:27:21,004 - pyskl - INFO - Epoch [70][700/1281] lr: 1.392e-02, eta: 11:30:07, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9969, loss_cls: 0.3275, loss: 0.3275 2023-12-24 20:28:03,894 - pyskl - INFO - Epoch [70][800/1281] lr: 1.390e-02, eta: 11:29:30, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9988, loss_cls: 0.3385, loss: 0.3385 2023-12-24 20:28:46,727 - pyskl - INFO - Epoch [70][900/1281] lr: 1.388e-02, eta: 11:28:53, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9988, loss_cls: 0.3304, loss: 0.3304 2023-12-24 20:29:29,316 - pyskl - INFO - Epoch [70][1000/1281] lr: 1.386e-02, eta: 11:28:16, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9988, loss_cls: 0.3585, loss: 0.3585 2023-12-24 20:30:12,166 - pyskl - INFO - Epoch [70][1100/1281] lr: 1.384e-02, eta: 11:27:38, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9962, loss_cls: 0.3825, loss: 0.3825 2023-12-24 20:30:55,066 - pyskl - INFO - Epoch [70][1200/1281] lr: 1.382e-02, eta: 11:27:01, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9981, loss_cls: 0.3765, loss: 0.3765 2023-12-24 20:31:30,477 - pyskl - INFO - Saving checkpoint at 70 epochs 2023-12-24 20:32:44,811 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 20:32:44,873 - pyskl - INFO - top1_acc 0.8409 top5_acc 0.9864 2023-12-24 20:32:44,873 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 20:32:44,883 - pyskl - INFO - mean_acc 0.7912 2023-12-24 20:32:44,885 - pyskl - INFO - Epoch(val) [70][533] top1_acc: 0.8409, top5_acc: 0.9864, mean_class_accuracy: 0.7912 2023-12-24 20:33:28,593 - pyskl - INFO - Epoch [71][100/1281] lr: 1.379e-02, eta: 11:25:15, time: 0.437, data_time: 0.188, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 0.3118, loss: 0.3118 2023-12-24 20:34:14,004 - pyskl - INFO - Epoch [71][200/1281] lr: 1.377e-02, eta: 11:24:41, time: 0.454, data_time: 0.000, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9994, loss_cls: 0.3599, loss: 0.3599 2023-12-24 20:34:40,461 - pyskl - INFO - Epoch [71][300/1281] lr: 1.375e-02, eta: 11:23:46, time: 0.265, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9981, loss_cls: 0.3123, loss: 0.3123 2023-12-24 20:35:21,272 - pyskl - INFO - Epoch [71][400/1281] lr: 1.373e-02, eta: 11:23:06, time: 0.408, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 0.3054, loss: 0.3054 2023-12-24 20:36:03,905 - pyskl - INFO - Epoch [71][500/1281] lr: 1.371e-02, eta: 11:22:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9981, loss_cls: 0.3250, loss: 0.3250 2023-12-24 20:36:46,899 - pyskl - INFO - Epoch [71][600/1281] lr: 1.368e-02, eta: 11:21:52, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9975, loss_cls: 0.2898, loss: 0.2898 2023-12-24 20:37:29,897 - pyskl - INFO - Epoch [71][700/1281] lr: 1.366e-02, eta: 11:21:15, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9969, loss_cls: 0.3386, loss: 0.3386 2023-12-24 20:38:12,843 - pyskl - INFO - Epoch [71][800/1281] lr: 1.364e-02, eta: 11:20:38, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9975, loss_cls: 0.3736, loss: 0.3736 2023-12-24 20:38:55,679 - pyskl - INFO - Epoch [71][900/1281] lr: 1.362e-02, eta: 11:20:01, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9969, loss_cls: 0.3283, loss: 0.3283 2023-12-24 20:39:38,373 - pyskl - INFO - Epoch [71][1000/1281] lr: 1.360e-02, eta: 11:19:23, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9969, loss_cls: 0.3991, loss: 0.3991 2023-12-24 20:40:21,513 - pyskl - INFO - Epoch [71][1100/1281] lr: 1.358e-02, eta: 11:18:46, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 0.3692, loss: 0.3692 2023-12-24 20:41:05,477 - pyskl - INFO - Epoch [71][1200/1281] lr: 1.356e-02, eta: 11:18:11, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9988, loss_cls: 0.3219, loss: 0.3219 2023-12-24 20:41:40,777 - pyskl - INFO - Saving checkpoint at 71 epochs 2023-12-24 20:42:55,274 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 20:42:55,327 - pyskl - INFO - top1_acc 0.8635 top5_acc 0.9896 2023-12-24 20:42:55,327 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 20:42:55,334 - pyskl - INFO - mean_acc 0.8247 2023-12-24 20:42:55,335 - pyskl - INFO - Epoch(val) [71][533] top1_acc: 0.8635, top5_acc: 0.9896, mean_class_accuracy: 0.8247 2023-12-24 20:43:38,842 - pyskl - INFO - Epoch [72][100/1281] lr: 1.353e-02, eta: 11:16:25, time: 0.435, data_time: 0.180, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9994, loss_cls: 0.2927, loss: 0.2927 2023-12-24 20:44:24,098 - pyskl - INFO - Epoch [72][200/1281] lr: 1.351e-02, eta: 11:15:51, time: 0.453, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 1.0000, loss_cls: 0.2870, loss: 0.2870 2023-12-24 20:44:49,390 - pyskl - INFO - Epoch [72][300/1281] lr: 1.349e-02, eta: 11:14:54, time: 0.253, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9975, loss_cls: 0.2910, loss: 0.2910 2023-12-24 20:45:30,781 - pyskl - INFO - Epoch [72][400/1281] lr: 1.346e-02, eta: 11:14:16, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9981, loss_cls: 0.3367, loss: 0.3367 2023-12-24 20:46:13,576 - pyskl - INFO - Epoch [72][500/1281] lr: 1.344e-02, eta: 11:13:38, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 0.3104, loss: 0.3104 2023-12-24 20:46:56,261 - pyskl - INFO - Epoch [72][600/1281] lr: 1.342e-02, eta: 11:13:01, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 0.2961, loss: 0.2961 2023-12-24 20:47:39,856 - pyskl - INFO - Epoch [72][700/1281] lr: 1.340e-02, eta: 11:12:25, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9981, loss_cls: 0.3235, loss: 0.3235 2023-12-24 20:48:23,357 - pyskl - INFO - Epoch [72][800/1281] lr: 1.338e-02, eta: 11:11:48, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9975, loss_cls: 0.3070, loss: 0.3070 2023-12-24 20:49:07,315 - pyskl - INFO - Epoch [72][900/1281] lr: 1.336e-02, eta: 11:11:12, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9969, loss_cls: 0.4020, loss: 0.4020 2023-12-24 20:49:50,793 - pyskl - INFO - Epoch [72][1000/1281] lr: 1.334e-02, eta: 11:10:36, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9975, loss_cls: 0.3545, loss: 0.3545 2023-12-24 20:50:34,760 - pyskl - INFO - Epoch [72][1100/1281] lr: 1.332e-02, eta: 11:10:00, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9975, loss_cls: 0.4016, loss: 0.4016 2023-12-24 20:51:18,211 - pyskl - INFO - Epoch [72][1200/1281] lr: 1.330e-02, eta: 11:09:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9975, loss_cls: 0.3401, loss: 0.3401 2023-12-24 20:51:53,611 - pyskl - INFO - Saving checkpoint at 72 epochs 2023-12-24 20:53:08,099 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 20:53:08,155 - pyskl - INFO - top1_acc 0.8613 top5_acc 0.9907 2023-12-24 20:53:08,155 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 20:53:08,162 - pyskl - INFO - mean_acc 0.8200 2023-12-24 20:53:08,164 - pyskl - INFO - Epoch(val) [72][533] top1_acc: 0.8613, top5_acc: 0.9907, mean_class_accuracy: 0.8200 2023-12-24 20:53:50,287 - pyskl - INFO - Epoch [73][100/1281] lr: 1.326e-02, eta: 11:07:37, time: 0.421, data_time: 0.172, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9994, loss_cls: 0.2499, loss: 0.2499 2023-12-24 20:54:35,719 - pyskl - INFO - Epoch [73][200/1281] lr: 1.324e-02, eta: 11:07:03, time: 0.454, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 0.3005, loss: 0.3005 2023-12-24 20:55:01,188 - pyskl - INFO - Epoch [73][300/1281] lr: 1.322e-02, eta: 11:06:07, time: 0.255, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9962, loss_cls: 0.3487, loss: 0.3487 2023-12-24 20:55:41,865 - pyskl - INFO - Epoch [73][400/1281] lr: 1.320e-02, eta: 11:05:27, time: 0.407, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 0.3206, loss: 0.3206 2023-12-24 20:56:24,705 - pyskl - INFO - Epoch [73][500/1281] lr: 1.318e-02, eta: 11:04:50, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9969, loss_cls: 0.3911, loss: 0.3911 2023-12-24 20:57:07,371 - pyskl - INFO - Epoch [73][600/1281] lr: 1.316e-02, eta: 11:04:13, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 0.2845, loss: 0.2845 2023-12-24 20:57:50,150 - pyskl - INFO - Epoch [73][700/1281] lr: 1.314e-02, eta: 11:03:36, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9988, loss_cls: 0.3094, loss: 0.3094 2023-12-24 20:58:33,045 - pyskl - INFO - Epoch [73][800/1281] lr: 1.312e-02, eta: 11:02:58, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9988, loss_cls: 0.3059, loss: 0.3059 2023-12-24 20:59:15,999 - pyskl - INFO - Epoch [73][900/1281] lr: 1.310e-02, eta: 11:02:21, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9994, loss_cls: 0.3287, loss: 0.3287 2023-12-24 20:59:58,732 - pyskl - INFO - Epoch [73][1000/1281] lr: 1.308e-02, eta: 11:01:44, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 0.3100, loss: 0.3100 2023-12-24 21:00:41,355 - pyskl - INFO - Epoch [73][1100/1281] lr: 1.306e-02, eta: 11:01:06, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9988, loss_cls: 0.3707, loss: 0.3707 2023-12-24 21:01:23,946 - pyskl - INFO - Epoch [73][1200/1281] lr: 1.304e-02, eta: 11:00:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 0.3628, loss: 0.3628 2023-12-24 21:01:59,036 - pyskl - INFO - Saving checkpoint at 73 epochs 2023-12-24 21:03:12,225 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 21:03:12,289 - pyskl - INFO - top1_acc 0.8499 top5_acc 0.9846 2023-12-24 21:03:12,289 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 21:03:12,297 - pyskl - INFO - mean_acc 0.8081 2023-12-24 21:03:12,299 - pyskl - INFO - Epoch(val) [73][533] top1_acc: 0.8499, top5_acc: 0.9846, mean_class_accuracy: 0.8081 2023-12-24 21:03:54,878 - pyskl - INFO - Epoch [74][100/1281] lr: 1.300e-02, eta: 10:58:44, time: 0.426, data_time: 0.172, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9975, loss_cls: 0.3087, loss: 0.3087 2023-12-24 21:04:39,924 - pyskl - INFO - Epoch [74][200/1281] lr: 1.298e-02, eta: 10:58:09, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 0.2956, loss: 0.2956 2023-12-24 21:05:05,942 - pyskl - INFO - Epoch [74][300/1281] lr: 1.296e-02, eta: 10:57:15, time: 0.260, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9981, loss_cls: 0.3053, loss: 0.3053 2023-12-24 21:05:47,833 - pyskl - INFO - Epoch [74][400/1281] lr: 1.294e-02, eta: 10:56:36, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 0.2855, loss: 0.2855 2023-12-24 21:06:31,239 - pyskl - INFO - Epoch [74][500/1281] lr: 1.292e-02, eta: 10:56:00, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9988, loss_cls: 0.2826, loss: 0.2826 2023-12-24 21:07:14,666 - pyskl - INFO - Epoch [74][600/1281] lr: 1.290e-02, eta: 10:55:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 0.2704, loss: 0.2704 2023-12-24 21:07:58,219 - pyskl - INFO - Epoch [74][700/1281] lr: 1.288e-02, eta: 10:54:47, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.2893, loss: 0.2893 2023-12-24 21:08:41,638 - pyskl - INFO - Epoch [74][800/1281] lr: 1.286e-02, eta: 10:54:10, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9981, loss_cls: 0.3157, loss: 0.3157 2023-12-24 21:09:25,066 - pyskl - INFO - Epoch [74][900/1281] lr: 1.284e-02, eta: 10:53:33, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 0.3684, loss: 0.3684 2023-12-24 21:10:08,473 - pyskl - INFO - Epoch [74][1000/1281] lr: 1.282e-02, eta: 10:52:56, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9969, loss_cls: 0.3416, loss: 0.3416 2023-12-24 21:10:51,880 - pyskl - INFO - Epoch [74][1100/1281] lr: 1.280e-02, eta: 10:52:20, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 0.3376, loss: 0.3376 2023-12-24 21:11:34,819 - pyskl - INFO - Epoch [74][1200/1281] lr: 1.278e-02, eta: 10:51:42, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 0.2844, loss: 0.2844 2023-12-24 21:12:10,451 - pyskl - INFO - Saving checkpoint at 74 epochs 2023-12-24 21:13:23,300 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 21:13:23,367 - pyskl - INFO - top1_acc 0.8317 top5_acc 0.9850 2023-12-24 21:13:23,367 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 21:13:23,375 - pyskl - INFO - mean_acc 0.7789 2023-12-24 21:13:23,378 - pyskl - INFO - Epoch(val) [74][533] top1_acc: 0.8317, top5_acc: 0.9850, mean_class_accuracy: 0.7789 2023-12-24 21:14:06,869 - pyskl - INFO - Epoch [75][100/1281] lr: 1.274e-02, eta: 10:50:00, time: 0.435, data_time: 0.177, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 0.2770, loss: 0.2770 2023-12-24 21:14:51,990 - pyskl - INFO - Epoch [75][200/1281] lr: 1.272e-02, eta: 10:49:25, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 0.2812, loss: 0.2812 2023-12-24 21:15:17,008 - pyskl - INFO - Epoch [75][300/1281] lr: 1.270e-02, eta: 10:48:29, time: 0.250, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9994, loss_cls: 0.3551, loss: 0.3551 2023-12-24 21:15:58,945 - pyskl - INFO - Epoch [75][400/1281] lr: 1.268e-02, eta: 10:47:51, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.2798, loss: 0.2798 2023-12-24 21:16:41,512 - pyskl - INFO - Epoch [75][500/1281] lr: 1.266e-02, eta: 10:47:14, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9994, loss_cls: 0.2622, loss: 0.2622 2023-12-24 21:17:24,165 - pyskl - INFO - Epoch [75][600/1281] lr: 1.264e-02, eta: 10:46:36, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9975, loss_cls: 0.3125, loss: 0.3125 2023-12-24 21:18:06,901 - pyskl - INFO - Epoch [75][700/1281] lr: 1.262e-02, eta: 10:45:59, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 0.2766, loss: 0.2766 2023-12-24 21:18:49,565 - pyskl - INFO - Epoch [75][800/1281] lr: 1.260e-02, eta: 10:45:21, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 0.2897, loss: 0.2897 2023-12-24 21:19:32,079 - pyskl - INFO - Epoch [75][900/1281] lr: 1.258e-02, eta: 10:44:44, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9988, loss_cls: 0.3549, loss: 0.3549 2023-12-24 21:20:14,664 - pyskl - INFO - Epoch [75][1000/1281] lr: 1.256e-02, eta: 10:44:06, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9994, loss_cls: 0.2949, loss: 0.2949 2023-12-24 21:20:57,326 - pyskl - INFO - Epoch [75][1100/1281] lr: 1.254e-02, eta: 10:43:28, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9962, loss_cls: 0.2952, loss: 0.2952 2023-12-24 21:21:39,864 - pyskl - INFO - Epoch [75][1200/1281] lr: 1.252e-02, eta: 10:42:51, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 0.3043, loss: 0.3043 2023-12-24 21:22:14,945 - pyskl - INFO - Saving checkpoint at 75 epochs 2023-12-24 21:23:28,153 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 21:23:28,207 - pyskl - INFO - top1_acc 0.8672 top5_acc 0.9874 2023-12-24 21:23:28,207 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 21:23:28,214 - pyskl - INFO - mean_acc 0.8266 2023-12-24 21:23:28,215 - pyskl - INFO - Epoch(val) [75][533] top1_acc: 0.8672, top5_acc: 0.9874, mean_class_accuracy: 0.8266 2023-12-24 21:24:11,785 - pyskl - INFO - Epoch [76][100/1281] lr: 1.248e-02, eta: 10:41:09, time: 0.436, data_time: 0.172, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 0.2621, loss: 0.2621 2023-12-24 21:24:56,660 - pyskl - INFO - Epoch [76][200/1281] lr: 1.246e-02, eta: 10:40:34, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.2530, loss: 0.2530 2023-12-24 21:25:21,365 - pyskl - INFO - Epoch [76][300/1281] lr: 1.244e-02, eta: 10:39:38, time: 0.247, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 0.2547, loss: 0.2547 2023-12-24 21:26:04,336 - pyskl - INFO - Epoch [76][400/1281] lr: 1.242e-02, eta: 10:39:01, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 1.0000, loss_cls: 0.3196, loss: 0.3196 2023-12-24 21:26:47,734 - pyskl - INFO - Epoch [76][500/1281] lr: 1.240e-02, eta: 10:38:24, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 0.2791, loss: 0.2791 2023-12-24 21:27:30,915 - pyskl - INFO - Epoch [76][600/1281] lr: 1.238e-02, eta: 10:37:47, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 0.3184, loss: 0.3184 2023-12-24 21:28:13,504 - pyskl - INFO - Epoch [76][700/1281] lr: 1.236e-02, eta: 10:37:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 0.2755, loss: 0.2755 2023-12-24 21:28:56,137 - pyskl - INFO - Epoch [76][800/1281] lr: 1.234e-02, eta: 10:36:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9994, loss_cls: 0.3173, loss: 0.3173 2023-12-24 21:29:38,721 - pyskl - INFO - Epoch [76][900/1281] lr: 1.232e-02, eta: 10:35:55, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 0.3001, loss: 0.3001 2023-12-24 21:30:21,362 - pyskl - INFO - Epoch [76][1000/1281] lr: 1.230e-02, eta: 10:35:17, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9994, loss_cls: 0.3134, loss: 0.3134 2023-12-24 21:31:03,961 - pyskl - INFO - Epoch [76][1100/1281] lr: 1.228e-02, eta: 10:34:39, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9981, loss_cls: 0.3096, loss: 0.3096 2023-12-24 21:31:46,591 - pyskl - INFO - Epoch [76][1200/1281] lr: 1.225e-02, eta: 10:34:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9969, loss_cls: 0.3154, loss: 0.3154 2023-12-24 21:32:21,553 - pyskl - INFO - Saving checkpoint at 76 epochs 2023-12-24 21:33:34,414 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 21:33:34,473 - pyskl - INFO - top1_acc 0.7888 top5_acc 0.9609 2023-12-24 21:33:34,473 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 21:33:34,488 - pyskl - INFO - mean_acc 0.7269 2023-12-24 21:33:34,491 - pyskl - INFO - Epoch(val) [76][533] top1_acc: 0.7888, top5_acc: 0.9609, mean_class_accuracy: 0.7269 2023-12-24 21:34:18,496 - pyskl - INFO - Epoch [77][100/1281] lr: 1.222e-02, eta: 10:32:21, time: 0.440, data_time: 0.178, memory: 4120, top1_acc: 0.9444, top5_acc: 1.0000, loss_cls: 0.2470, loss: 0.2470 2023-12-24 21:35:03,466 - pyskl - INFO - Epoch [77][200/1281] lr: 1.220e-02, eta: 10:31:46, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 0.2792, loss: 0.2792 2023-12-24 21:35:27,242 - pyskl - INFO - Epoch [77][300/1281] lr: 1.218e-02, eta: 10:30:50, time: 0.238, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 0.2876, loss: 0.2876 2023-12-24 21:36:09,902 - pyskl - INFO - Epoch [77][400/1281] lr: 1.216e-02, eta: 10:30:13, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 0.2605, loss: 0.2605 2023-12-24 21:36:52,543 - pyskl - INFO - Epoch [77][500/1281] lr: 1.214e-02, eta: 10:29:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.2291, loss: 0.2291 2023-12-24 21:37:35,116 - pyskl - INFO - Epoch [77][600/1281] lr: 1.212e-02, eta: 10:28:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.2702, loss: 0.2702 2023-12-24 21:38:17,685 - pyskl - INFO - Epoch [77][700/1281] lr: 1.210e-02, eta: 10:28:20, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 0.2730, loss: 0.2730 2023-12-24 21:39:00,211 - pyskl - INFO - Epoch [77][800/1281] lr: 1.207e-02, eta: 10:27:42, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 1.0000, loss_cls: 0.3109, loss: 0.3109 2023-12-24 21:39:42,981 - pyskl - INFO - Epoch [77][900/1281] lr: 1.205e-02, eta: 10:27:05, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9988, loss_cls: 0.3017, loss: 0.3017 2023-12-24 21:40:25,640 - pyskl - INFO - Epoch [77][1000/1281] lr: 1.203e-02, eta: 10:26:27, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3170, loss: 0.3170 2023-12-24 21:41:08,126 - pyskl - INFO - Epoch [77][1100/1281] lr: 1.201e-02, eta: 10:25:49, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 0.2835, loss: 0.2835 2023-12-24 21:41:50,656 - pyskl - INFO - Epoch [77][1200/1281] lr: 1.199e-02, eta: 10:25:11, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9962, loss_cls: 0.3085, loss: 0.3085 2023-12-24 21:42:25,899 - pyskl - INFO - Saving checkpoint at 77 epochs 2023-12-24 21:43:38,653 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 21:43:38,706 - pyskl - INFO - top1_acc 0.8761 top5_acc 0.9891 2023-12-24 21:43:38,706 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 21:43:38,713 - pyskl - INFO - mean_acc 0.8284 2023-12-24 21:43:38,717 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_65.pth was removed 2023-12-24 21:43:38,898 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. 2023-12-24 21:43:38,899 - pyskl - INFO - Best top1_acc is 0.8761 at 77 epoch. 2023-12-24 21:43:38,902 - pyskl - INFO - Epoch(val) [77][533] top1_acc: 0.8761, top5_acc: 0.9891, mean_class_accuracy: 0.8284 2023-12-24 21:44:21,661 - pyskl - INFO - Epoch [78][100/1281] lr: 1.196e-02, eta: 10:23:31, time: 0.428, data_time: 0.171, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 0.2530, loss: 0.2530 2023-12-24 21:45:06,545 - pyskl - INFO - Epoch [78][200/1281] lr: 1.194e-02, eta: 10:22:55, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 0.2681, loss: 0.2681 2023-12-24 21:45:30,656 - pyskl - INFO - Epoch [78][300/1281] lr: 1.192e-02, eta: 10:22:00, time: 0.241, data_time: 0.000, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9975, loss_cls: 0.2971, loss: 0.2971 2023-12-24 21:46:14,064 - pyskl - INFO - Epoch [78][400/1281] lr: 1.190e-02, eta: 10:21:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9962, loss_cls: 0.3002, loss: 0.3002 2023-12-24 21:46:57,353 - pyskl - INFO - Epoch [78][500/1281] lr: 1.187e-02, eta: 10:20:46, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 0.2645, loss: 0.2645 2023-12-24 21:47:40,780 - pyskl - INFO - Epoch [78][600/1281] lr: 1.185e-02, eta: 10:20:09, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 0.2722, loss: 0.2722 2023-12-24 21:48:24,210 - pyskl - INFO - Epoch [78][700/1281] lr: 1.183e-02, eta: 10:19:33, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 1.0000, loss_cls: 0.2860, loss: 0.2860 2023-12-24 21:49:07,595 - pyskl - INFO - Epoch [78][800/1281] lr: 1.181e-02, eta: 10:18:56, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 1.0000, loss_cls: 0.2871, loss: 0.2871 2023-12-24 21:49:51,024 - pyskl - INFO - Epoch [78][900/1281] lr: 1.179e-02, eta: 10:18:19, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 1.0000, loss_cls: 0.2683, loss: 0.2683 2023-12-24 21:50:34,346 - pyskl - INFO - Epoch [78][1000/1281] lr: 1.177e-02, eta: 10:17:42, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 0.2768, loss: 0.2768 2023-12-24 21:51:17,729 - pyskl - INFO - Epoch [78][1100/1281] lr: 1.175e-02, eta: 10:17:05, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 1.0000, loss_cls: 0.3038, loss: 0.3038 2023-12-24 21:52:01,102 - pyskl - INFO - Epoch [78][1200/1281] lr: 1.173e-02, eta: 10:16:28, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9981, loss_cls: 0.3301, loss: 0.3301 2023-12-24 21:52:36,721 - pyskl - INFO - Saving checkpoint at 78 epochs 2023-12-24 21:53:49,709 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 21:53:49,763 - pyskl - INFO - top1_acc 0.8673 top5_acc 0.9907 2023-12-24 21:53:49,764 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 21:53:49,770 - pyskl - INFO - mean_acc 0.8175 2023-12-24 21:53:49,772 - pyskl - INFO - Epoch(val) [78][533] top1_acc: 0.8673, top5_acc: 0.9907, mean_class_accuracy: 0.8175 2023-12-24 21:54:32,986 - pyskl - INFO - Epoch [79][100/1281] lr: 1.169e-02, eta: 10:14:48, time: 0.432, data_time: 0.177, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 0.2567, loss: 0.2567 2023-12-24 21:55:17,963 - pyskl - INFO - Epoch [79][200/1281] lr: 1.167e-02, eta: 10:14:13, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 0.2624, loss: 0.2624 2023-12-24 21:55:42,114 - pyskl - INFO - Epoch [79][300/1281] lr: 1.165e-02, eta: 10:13:18, time: 0.242, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 0.2337, loss: 0.2337 2023-12-24 21:56:24,713 - pyskl - INFO - Epoch [79][400/1281] lr: 1.163e-02, eta: 10:12:40, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 0.2611, loss: 0.2611 2023-12-24 21:57:07,315 - pyskl - INFO - Epoch [79][500/1281] lr: 1.161e-02, eta: 10:12:03, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 1.0000, loss_cls: 0.2915, loss: 0.2915 2023-12-24 21:57:50,003 - pyskl - INFO - Epoch [79][600/1281] lr: 1.159e-02, eta: 10:11:25, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 0.2982, loss: 0.2982 2023-12-24 21:58:32,606 - pyskl - INFO - Epoch [79][700/1281] lr: 1.157e-02, eta: 10:10:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9994, loss_cls: 0.2810, loss: 0.2810 2023-12-24 21:59:15,355 - pyskl - INFO - Epoch [79][800/1281] lr: 1.155e-02, eta: 10:10:10, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9975, loss_cls: 0.3148, loss: 0.3148 2023-12-24 21:59:57,922 - pyskl - INFO - Epoch [79][900/1281] lr: 1.153e-02, eta: 10:09:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 0.3040, loss: 0.3040 2023-12-24 22:00:40,477 - pyskl - INFO - Epoch [79][1000/1281] lr: 1.151e-02, eta: 10:08:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9981, loss_cls: 0.3075, loss: 0.3075 2023-12-24 22:01:23,144 - pyskl - INFO - Epoch [79][1100/1281] lr: 1.149e-02, eta: 10:08:17, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 0.3032, loss: 0.3032 2023-12-24 22:02:05,806 - pyskl - INFO - Epoch [79][1200/1281] lr: 1.147e-02, eta: 10:07:39, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9975, loss_cls: 0.3132, loss: 0.3132 2023-12-24 22:02:40,785 - pyskl - INFO - Saving checkpoint at 79 epochs 2023-12-24 22:03:53,526 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 22:03:53,579 - pyskl - INFO - top1_acc 0.8737 top5_acc 0.9886 2023-12-24 22:03:53,580 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 22:03:53,585 - pyskl - INFO - mean_acc 0.8389 2023-12-24 22:03:53,587 - pyskl - INFO - Epoch(val) [79][533] top1_acc: 0.8737, top5_acc: 0.9886, mean_class_accuracy: 0.8389 2023-12-24 22:04:36,326 - pyskl - INFO - Epoch [80][100/1281] lr: 1.143e-02, eta: 10:06:00, time: 0.427, data_time: 0.171, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9994, loss_cls: 0.2743, loss: 0.2743 2023-12-24 22:05:21,137 - pyskl - INFO - Epoch [80][200/1281] lr: 1.141e-02, eta: 10:05:24, time: 0.448, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 0.2537, loss: 0.2537 2023-12-24 22:05:45,800 - pyskl - INFO - Epoch [80][300/1281] lr: 1.139e-02, eta: 10:04:30, time: 0.247, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 0.2196, loss: 0.2196 2023-12-24 22:06:28,009 - pyskl - INFO - Epoch [80][400/1281] lr: 1.137e-02, eta: 10:03:52, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 1.0000, loss_cls: 0.2723, loss: 0.2723 2023-12-24 22:07:10,725 - pyskl - INFO - Epoch [80][500/1281] lr: 1.135e-02, eta: 10:03:15, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 0.2495, loss: 0.2495 2023-12-24 22:07:53,322 - pyskl - INFO - Epoch [80][600/1281] lr: 1.133e-02, eta: 10:02:37, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 0.2628, loss: 0.2628 2023-12-24 22:08:35,943 - pyskl - INFO - Epoch [80][700/1281] lr: 1.131e-02, eta: 10:01:59, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 1.0000, loss_cls: 0.2626, loss: 0.2626 2023-12-24 22:09:18,630 - pyskl - INFO - Epoch [80][800/1281] lr: 1.129e-02, eta: 10:01:21, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 0.2596, loss: 0.2596 2023-12-24 22:10:01,211 - pyskl - INFO - Epoch [80][900/1281] lr: 1.127e-02, eta: 10:00:44, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9988, loss_cls: 0.3116, loss: 0.3116 2023-12-24 22:10:43,769 - pyskl - INFO - Epoch [80][1000/1281] lr: 1.125e-02, eta: 10:00:06, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 0.2615, loss: 0.2615 2023-12-24 22:11:26,368 - pyskl - INFO - Epoch [80][1100/1281] lr: 1.123e-02, eta: 9:59:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.2344, loss: 0.2344 2023-12-24 22:12:08,922 - pyskl - INFO - Epoch [80][1200/1281] lr: 1.121e-02, eta: 9:58:50, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 0.2616, loss: 0.2616 2023-12-24 22:12:43,915 - pyskl - INFO - Saving checkpoint at 80 epochs 2023-12-24 22:13:57,598 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 22:13:57,654 - pyskl - INFO - top1_acc 0.8420 top5_acc 0.9811 2023-12-24 22:13:57,654 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 22:13:57,661 - pyskl - INFO - mean_acc 0.7986 2023-12-24 22:13:57,663 - pyskl - INFO - Epoch(val) [80][533] top1_acc: 0.8420, top5_acc: 0.9811, mean_class_accuracy: 0.7986 2023-12-24 22:14:41,503 - pyskl - INFO - Epoch [81][100/1281] lr: 1.117e-02, eta: 9:57:13, time: 0.438, data_time: 0.176, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 0.2877, loss: 0.2877 2023-12-24 22:15:26,436 - pyskl - INFO - Epoch [81][200/1281] lr: 1.115e-02, eta: 9:56:37, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.2749, loss: 0.2749 2023-12-24 22:15:50,715 - pyskl - INFO - Epoch [81][300/1281] lr: 1.113e-02, eta: 9:55:43, time: 0.243, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 1.0000, loss_cls: 0.2527, loss: 0.2527 2023-12-24 22:16:34,146 - pyskl - INFO - Epoch [81][400/1281] lr: 1.111e-02, eta: 9:55:06, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 0.2711, loss: 0.2711 2023-12-24 22:17:17,562 - pyskl - INFO - Epoch [81][500/1281] lr: 1.109e-02, eta: 9:54:29, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 1.0000, loss_cls: 0.2701, loss: 0.2701 2023-12-24 22:18:00,975 - pyskl - INFO - Epoch [81][600/1281] lr: 1.107e-02, eta: 9:53:52, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 0.2488, loss: 0.2488 2023-12-24 22:18:43,767 - pyskl - INFO - Epoch [81][700/1281] lr: 1.105e-02, eta: 9:53:15, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 0.3071, loss: 0.3071 2023-12-24 22:19:26,484 - pyskl - INFO - Epoch [81][800/1281] lr: 1.103e-02, eta: 9:52:37, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9975, loss_cls: 0.3028, loss: 0.3028 2023-12-24 22:20:09,030 - pyskl - INFO - Epoch [81][900/1281] lr: 1.101e-02, eta: 9:51:59, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9975, loss_cls: 0.2868, loss: 0.2868 2023-12-24 22:20:51,644 - pyskl - INFO - Epoch [81][1000/1281] lr: 1.099e-02, eta: 9:51:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9975, loss_cls: 0.3419, loss: 0.3419 2023-12-24 22:21:34,130 - pyskl - INFO - Epoch [81][1100/1281] lr: 1.097e-02, eta: 9:50:43, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 0.3008, loss: 0.3008 2023-12-24 22:22:16,753 - pyskl - INFO - Epoch [81][1200/1281] lr: 1.095e-02, eta: 9:50:06, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9994, loss_cls: 0.3199, loss: 0.3199 2023-12-24 22:22:52,007 - pyskl - INFO - Saving checkpoint at 81 epochs 2023-12-24 22:24:05,263 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 22:24:05,320 - pyskl - INFO - top1_acc 0.8639 top5_acc 0.9884 2023-12-24 22:24:05,320 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 22:24:05,329 - pyskl - INFO - mean_acc 0.8231 2023-12-24 22:24:05,332 - pyskl - INFO - Epoch(val) [81][533] top1_acc: 0.8639, top5_acc: 0.9884, mean_class_accuracy: 0.8231 2023-12-24 22:24:48,497 - pyskl - INFO - Epoch [82][100/1281] lr: 1.091e-02, eta: 9:48:28, time: 0.432, data_time: 0.174, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 0.2564, loss: 0.2564 2023-12-24 22:25:33,398 - pyskl - INFO - Epoch [82][200/1281] lr: 1.089e-02, eta: 9:47:53, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 0.2454, loss: 0.2454 2023-12-24 22:25:57,074 - pyskl - INFO - Epoch [82][300/1281] lr: 1.087e-02, eta: 9:46:59, time: 0.237, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 0.2328, loss: 0.2328 2023-12-24 22:26:40,387 - pyskl - INFO - Epoch [82][400/1281] lr: 1.085e-02, eta: 9:46:22, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 0.2562, loss: 0.2562 2023-12-24 22:27:23,818 - pyskl - INFO - Epoch [82][500/1281] lr: 1.083e-02, eta: 9:45:44, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.2785, loss: 0.2785 2023-12-24 22:28:07,110 - pyskl - INFO - Epoch [82][600/1281] lr: 1.081e-02, eta: 9:45:07, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 0.2286, loss: 0.2286 2023-12-24 22:28:50,572 - pyskl - INFO - Epoch [82][700/1281] lr: 1.079e-02, eta: 9:44:30, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 1.0000, loss_cls: 0.2457, loss: 0.2457 2023-12-24 22:29:33,994 - pyskl - INFO - Epoch [82][800/1281] lr: 1.077e-02, eta: 9:43:53, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 0.2548, loss: 0.2548 2023-12-24 22:30:17,394 - pyskl - INFO - Epoch [82][900/1281] lr: 1.075e-02, eta: 9:43:16, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2527, loss: 0.2527 2023-12-24 22:31:00,769 - pyskl - INFO - Epoch [82][1000/1281] lr: 1.073e-02, eta: 9:42:39, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 0.2610, loss: 0.2610 2023-12-24 22:31:44,178 - pyskl - INFO - Epoch [82][1100/1281] lr: 1.071e-02, eta: 9:42:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9969, loss_cls: 0.2845, loss: 0.2845 2023-12-24 22:32:27,569 - pyskl - INFO - Epoch [82][1200/1281] lr: 1.069e-02, eta: 9:41:24, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 1.0000, loss_cls: 0.2716, loss: 0.2716 2023-12-24 22:33:03,408 - pyskl - INFO - Saving checkpoint at 82 epochs 2023-12-24 22:34:16,947 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 22:34:17,017 - pyskl - INFO - top1_acc 0.8733 top5_acc 0.9907 2023-12-24 22:34:17,018 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 22:34:17,030 - pyskl - INFO - mean_acc 0.8346 2023-12-24 22:34:17,034 - pyskl - INFO - Epoch(val) [82][533] top1_acc: 0.8733, top5_acc: 0.9907, mean_class_accuracy: 0.8346 2023-12-24 22:35:01,784 - pyskl - INFO - Epoch [83][100/1281] lr: 1.065e-02, eta: 9:39:49, time: 0.447, data_time: 0.173, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 0.2313, loss: 0.2313 2023-12-24 22:35:46,459 - pyskl - INFO - Epoch [83][200/1281] lr: 1.063e-02, eta: 9:39:13, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 0.2286, loss: 0.2286 2023-12-24 22:36:10,109 - pyskl - INFO - Epoch [83][300/1281] lr: 1.061e-02, eta: 9:38:19, time: 0.236, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.1782, loss: 0.1782 2023-12-24 22:36:52,823 - pyskl - INFO - Epoch [83][400/1281] lr: 1.059e-02, eta: 9:37:42, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 0.2199, loss: 0.2199 2023-12-24 22:37:35,509 - pyskl - INFO - Epoch [83][500/1281] lr: 1.057e-02, eta: 9:37:04, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.2311, loss: 0.2311 2023-12-24 22:38:18,124 - pyskl - INFO - Epoch [83][600/1281] lr: 1.055e-02, eta: 9:36:26, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2391, loss: 0.2391 2023-12-24 22:39:00,737 - pyskl - INFO - Epoch [83][700/1281] lr: 1.053e-02, eta: 9:35:48, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 0.2471, loss: 0.2471 2023-12-24 22:39:43,458 - pyskl - INFO - Epoch [83][800/1281] lr: 1.051e-02, eta: 9:35:11, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 0.2337, loss: 0.2337 2023-12-24 22:40:26,128 - pyskl - INFO - Epoch [83][900/1281] lr: 1.049e-02, eta: 9:34:33, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.2712, loss: 0.2712 2023-12-24 22:41:08,785 - pyskl - INFO - Epoch [83][1000/1281] lr: 1.047e-02, eta: 9:33:55, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 0.2467, loss: 0.2467 2023-12-24 22:41:51,443 - pyskl - INFO - Epoch [83][1100/1281] lr: 1.045e-02, eta: 9:33:17, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 0.2826, loss: 0.2826 2023-12-24 22:42:34,011 - pyskl - INFO - Epoch [83][1200/1281] lr: 1.043e-02, eta: 9:32:39, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9981, loss_cls: 0.3212, loss: 0.3212 2023-12-24 22:43:08,989 - pyskl - INFO - Saving checkpoint at 83 epochs 2023-12-24 22:44:22,390 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 22:44:22,447 - pyskl - INFO - top1_acc 0.8648 top5_acc 0.9894 2023-12-24 22:44:22,447 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 22:44:22,455 - pyskl - INFO - mean_acc 0.8340 2023-12-24 22:44:22,457 - pyskl - INFO - Epoch(val) [83][533] top1_acc: 0.8648, top5_acc: 0.9894, mean_class_accuracy: 0.8340 2023-12-24 22:45:07,529 - pyskl - INFO - Epoch [84][100/1281] lr: 1.040e-02, eta: 9:31:05, time: 0.451, data_time: 0.172, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 0.2161, loss: 0.2161 2023-12-24 22:45:51,894 - pyskl - INFO - Epoch [84][200/1281] lr: 1.038e-02, eta: 9:30:28, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 0.2364, loss: 0.2364 2023-12-24 22:46:16,335 - pyskl - INFO - Epoch [84][300/1281] lr: 1.036e-02, eta: 9:29:36, time: 0.244, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 0.2243, loss: 0.2243 2023-12-24 22:46:58,999 - pyskl - INFO - Epoch [84][400/1281] lr: 1.034e-02, eta: 9:28:58, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9331, top5_acc: 1.0000, loss_cls: 0.2652, loss: 0.2652 2023-12-24 22:47:41,700 - pyskl - INFO - Epoch [84][500/1281] lr: 1.031e-02, eta: 9:28:20, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 0.2854, loss: 0.2854 2023-12-24 22:48:24,405 - pyskl - INFO - Epoch [84][600/1281] lr: 1.029e-02, eta: 9:27:43, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 0.2391, loss: 0.2391 2023-12-24 22:49:07,047 - pyskl - INFO - Epoch [84][700/1281] lr: 1.027e-02, eta: 9:27:05, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2368, loss: 0.2368 2023-12-24 22:49:49,601 - pyskl - INFO - Epoch [84][800/1281] lr: 1.025e-02, eta: 9:26:27, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.2654, loss: 0.2654 2023-12-24 22:50:32,166 - pyskl - INFO - Epoch [84][900/1281] lr: 1.023e-02, eta: 9:25:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 0.2562, loss: 0.2562 2023-12-24 22:51:14,739 - pyskl - INFO - Epoch [84][1000/1281] lr: 1.021e-02, eta: 9:25:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 1.0000, loss_cls: 0.2813, loss: 0.2813 2023-12-24 22:51:57,317 - pyskl - INFO - Epoch [84][1100/1281] lr: 1.019e-02, eta: 9:24:33, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 0.2606, loss: 0.2606 2023-12-24 22:52:39,823 - pyskl - INFO - Epoch [84][1200/1281] lr: 1.017e-02, eta: 9:23:55, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 1.0000, loss_cls: 0.2585, loss: 0.2585 2023-12-24 22:53:14,914 - pyskl - INFO - Saving checkpoint at 84 epochs 2023-12-24 22:54:28,285 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 22:54:28,349 - pyskl - INFO - top1_acc 0.8607 top5_acc 0.9874 2023-12-24 22:54:28,350 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 22:54:28,358 - pyskl - INFO - mean_acc 0.8284 2023-12-24 22:54:28,361 - pyskl - INFO - Epoch(val) [84][533] top1_acc: 0.8607, top5_acc: 0.9874, mean_class_accuracy: 0.8284 2023-12-24 22:55:14,025 - pyskl - INFO - Epoch [85][100/1281] lr: 1.014e-02, eta: 9:22:22, time: 0.457, data_time: 0.172, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 0.2398, loss: 0.2398 2023-12-24 22:55:57,713 - pyskl - INFO - Epoch [85][200/1281] lr: 1.012e-02, eta: 9:21:45, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 1.0000, loss_cls: 0.2585, loss: 0.2585 2023-12-24 22:56:22,424 - pyskl - INFO - Epoch [85][300/1281] lr: 1.010e-02, eta: 9:20:53, time: 0.247, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9994, loss_cls: 0.2726, loss: 0.2726 2023-12-24 22:57:05,043 - pyskl - INFO - Epoch [85][400/1281] lr: 1.008e-02, eta: 9:20:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 0.2443, loss: 0.2443 2023-12-24 22:57:47,703 - pyskl - INFO - Epoch [85][500/1281] lr: 1.006e-02, eta: 9:19:37, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 0.1993, loss: 0.1993 2023-12-24 22:58:30,177 - pyskl - INFO - Epoch [85][600/1281] lr: 1.004e-02, eta: 9:18:59, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 0.2210, loss: 0.2210 2023-12-24 22:59:12,824 - pyskl - INFO - Epoch [85][700/1281] lr: 1.002e-02, eta: 9:18:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 0.2605, loss: 0.2605 2023-12-24 22:59:55,513 - pyskl - INFO - Epoch [85][800/1281] lr: 9.998e-03, eta: 9:17:43, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 1.0000, loss_cls: 0.2873, loss: 0.2873 2023-12-24 23:00:38,038 - pyskl - INFO - Epoch [85][900/1281] lr: 9.978e-03, eta: 9:17:05, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 0.2332, loss: 0.2332 2023-12-24 23:01:20,768 - pyskl - INFO - Epoch [85][1000/1281] lr: 9.958e-03, eta: 9:16:28, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.2851, loss: 0.2851 2023-12-24 23:02:03,414 - pyskl - INFO - Epoch [85][1100/1281] lr: 9.937e-03, eta: 9:15:50, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9981, loss_cls: 0.2638, loss: 0.2638 2023-12-24 23:02:46,135 - pyskl - INFO - Epoch [85][1200/1281] lr: 9.917e-03, eta: 9:15:12, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 0.2592, loss: 0.2592 2023-12-24 23:03:21,222 - pyskl - INFO - Saving checkpoint at 85 epochs 2023-12-24 23:04:34,071 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 23:04:34,139 - pyskl - INFO - top1_acc 0.8736 top5_acc 0.9890 2023-12-24 23:04:34,139 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 23:04:34,147 - pyskl - INFO - mean_acc 0.8317 2023-12-24 23:04:34,149 - pyskl - INFO - Epoch(val) [85][533] top1_acc: 0.8736, top5_acc: 0.9890, mean_class_accuracy: 0.8317 2023-12-24 23:05:18,738 - pyskl - INFO - Epoch [86][100/1281] lr: 9.881e-03, eta: 9:13:38, time: 0.446, data_time: 0.169, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.2120, loss: 0.2120 2023-12-24 23:06:03,161 - pyskl - INFO - Epoch [86][200/1281] lr: 9.861e-03, eta: 9:13:02, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2345, loss: 0.2345 2023-12-24 23:06:28,013 - pyskl - INFO - Epoch [86][300/1281] lr: 9.841e-03, eta: 9:12:10, time: 0.249, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.2262, loss: 0.2262 2023-12-24 23:07:10,565 - pyskl - INFO - Epoch [86][400/1281] lr: 9.821e-03, eta: 9:11:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2107, loss: 0.2107 2023-12-24 23:07:53,800 - pyskl - INFO - Epoch [86][500/1281] lr: 9.801e-03, eta: 9:10:55, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 0.2279, loss: 0.2279 2023-12-24 23:08:37,131 - pyskl - INFO - Epoch [86][600/1281] lr: 9.781e-03, eta: 9:10:18, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.1944, loss: 0.1944 2023-12-24 23:09:20,492 - pyskl - INFO - Epoch [86][700/1281] lr: 9.762e-03, eta: 9:09:40, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.1884, loss: 0.1884 2023-12-24 23:10:03,853 - pyskl - INFO - Epoch [86][800/1281] lr: 9.742e-03, eta: 9:09:03, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 0.2002, loss: 0.2002 2023-12-24 23:10:47,308 - pyskl - INFO - Epoch [86][900/1281] lr: 9.722e-03, eta: 9:08:26, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.2315, loss: 0.2315 2023-12-24 23:11:30,649 - pyskl - INFO - Epoch [86][1000/1281] lr: 9.702e-03, eta: 9:07:48, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9994, loss_cls: 0.2466, loss: 0.2466 2023-12-24 23:12:14,008 - pyskl - INFO - Epoch [86][1100/1281] lr: 9.682e-03, eta: 9:07:11, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.2292, loss: 0.2292 2023-12-24 23:12:57,439 - pyskl - INFO - Epoch [86][1200/1281] lr: 9.662e-03, eta: 9:06:33, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 0.2628, loss: 0.2628 2023-12-24 23:13:33,152 - pyskl - INFO - Saving checkpoint at 86 epochs 2023-12-24 23:14:46,050 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 23:14:46,105 - pyskl - INFO - top1_acc 0.8706 top5_acc 0.9890 2023-12-24 23:14:46,105 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 23:14:46,111 - pyskl - INFO - mean_acc 0.8468 2023-12-24 23:14:46,113 - pyskl - INFO - Epoch(val) [86][533] top1_acc: 0.8706, top5_acc: 0.9890, mean_class_accuracy: 0.8468 2023-12-24 23:15:32,036 - pyskl - INFO - Epoch [87][100/1281] lr: 9.626e-03, eta: 9:05:01, time: 0.459, data_time: 0.172, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.1999, loss: 0.1999 2023-12-24 23:16:15,534 - pyskl - INFO - Epoch [87][200/1281] lr: 9.606e-03, eta: 9:04:24, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.2087, loss: 0.2087 2023-12-24 23:16:41,276 - pyskl - INFO - Epoch [87][300/1281] lr: 9.586e-03, eta: 9:03:34, time: 0.257, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 0.2316, loss: 0.2316 2023-12-24 23:17:23,814 - pyskl - INFO - Epoch [87][400/1281] lr: 9.566e-03, eta: 9:02:56, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 0.2125, loss: 0.2125 2023-12-24 23:18:06,483 - pyskl - INFO - Epoch [87][500/1281] lr: 9.546e-03, eta: 9:02:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2163, loss: 0.2163 2023-12-24 23:18:49,011 - pyskl - INFO - Epoch [87][600/1281] lr: 9.527e-03, eta: 9:01:40, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 0.2392, loss: 0.2392 2023-12-24 23:19:31,592 - pyskl - INFO - Epoch [87][700/1281] lr: 9.507e-03, eta: 9:01:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.2549, loss: 0.2549 2023-12-24 23:20:14,111 - pyskl - INFO - Epoch [87][800/1281] lr: 9.487e-03, eta: 9:00:24, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 0.2668, loss: 0.2668 2023-12-24 23:20:56,606 - pyskl - INFO - Epoch [87][900/1281] lr: 9.467e-03, eta: 8:59:46, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 0.2361, loss: 0.2361 2023-12-24 23:21:39,820 - pyskl - INFO - Epoch [87][1000/1281] lr: 9.447e-03, eta: 8:59:08, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 0.2634, loss: 0.2634 2023-12-24 23:22:23,161 - pyskl - INFO - Epoch [87][1100/1281] lr: 9.427e-03, eta: 8:58:31, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 0.2229, loss: 0.2229 2023-12-24 23:23:06,564 - pyskl - INFO - Epoch [87][1200/1281] lr: 9.408e-03, eta: 8:57:53, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 1.0000, loss_cls: 0.2456, loss: 0.2456 2023-12-24 23:23:42,169 - pyskl - INFO - Saving checkpoint at 87 epochs 2023-12-24 23:24:55,163 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 23:24:55,220 - pyskl - INFO - top1_acc 0.8769 top5_acc 0.9916 2023-12-24 23:24:55,220 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 23:24:55,227 - pyskl - INFO - mean_acc 0.8409 2023-12-24 23:24:55,232 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_77.pth was removed 2023-12-24 23:24:55,464 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. 2023-12-24 23:24:55,464 - pyskl - INFO - Best top1_acc is 0.8769 at 87 epoch. 2023-12-24 23:24:55,467 - pyskl - INFO - Epoch(val) [87][533] top1_acc: 0.8769, top5_acc: 0.9916, mean_class_accuracy: 0.8409 2023-12-24 23:25:42,110 - pyskl - INFO - Epoch [88][100/1281] lr: 9.372e-03, eta: 8:56:22, time: 0.466, data_time: 0.171, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 0.2327, loss: 0.2327 2023-12-24 23:26:24,641 - pyskl - INFO - Epoch [88][200/1281] lr: 9.352e-03, eta: 8:55:44, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.2396, loss: 0.2396 2023-12-24 23:26:51,225 - pyskl - INFO - Epoch [88][300/1281] lr: 9.332e-03, eta: 8:54:55, time: 0.266, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.1938, loss: 0.1938 2023-12-24 23:27:33,935 - pyskl - INFO - Epoch [88][400/1281] lr: 9.312e-03, eta: 8:54:17, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.2348, loss: 0.2348 2023-12-24 23:28:16,665 - pyskl - INFO - Epoch [88][500/1281] lr: 9.293e-03, eta: 8:53:39, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.2640, loss: 0.2640 2023-12-24 23:28:59,142 - pyskl - INFO - Epoch [88][600/1281] lr: 9.273e-03, eta: 8:53:01, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 0.2284, loss: 0.2284 2023-12-24 23:29:41,747 - pyskl - INFO - Epoch [88][700/1281] lr: 9.253e-03, eta: 8:52:23, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.2277, loss: 0.2277 2023-12-24 23:30:24,285 - pyskl - INFO - Epoch [88][800/1281] lr: 9.233e-03, eta: 8:51:45, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.2643, loss: 0.2643 2023-12-24 23:31:06,998 - pyskl - INFO - Epoch [88][900/1281] lr: 9.214e-03, eta: 8:51:07, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 0.2339, loss: 0.2339 2023-12-24 23:31:49,561 - pyskl - INFO - Epoch [88][1000/1281] lr: 9.194e-03, eta: 8:50:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 0.2554, loss: 0.2554 2023-12-24 23:32:32,209 - pyskl - INFO - Epoch [88][1100/1281] lr: 9.174e-03, eta: 8:49:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 0.2666, loss: 0.2666 2023-12-24 23:33:14,829 - pyskl - INFO - Epoch [88][1200/1281] lr: 9.155e-03, eta: 8:49:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2362, loss: 0.2362 2023-12-24 23:33:50,450 - pyskl - INFO - Saving checkpoint at 88 epochs 2023-12-24 23:35:03,187 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 23:35:03,248 - pyskl - INFO - top1_acc 0.8689 top5_acc 0.9883 2023-12-24 23:35:03,248 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 23:35:03,257 - pyskl - INFO - mean_acc 0.8268 2023-12-24 23:35:03,261 - pyskl - INFO - Epoch(val) [88][533] top1_acc: 0.8689, top5_acc: 0.9883, mean_class_accuracy: 0.8268 2023-12-24 23:35:51,040 - pyskl - INFO - Epoch [89][100/1281] lr: 9.119e-03, eta: 8:47:43, time: 0.478, data_time: 0.173, memory: 4120, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 0.2157, loss: 0.2157 2023-12-24 23:36:32,409 - pyskl - INFO - Epoch [89][200/1281] lr: 9.099e-03, eta: 8:47:04, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.1695, loss: 0.1695 2023-12-24 23:37:00,113 - pyskl - INFO - Epoch [89][300/1281] lr: 9.080e-03, eta: 8:46:16, time: 0.277, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2060, loss: 0.2060 2023-12-24 23:37:43,604 - pyskl - INFO - Epoch [89][400/1281] lr: 9.060e-03, eta: 8:45:38, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.2022, loss: 0.2022 2023-12-24 23:38:26,967 - pyskl - INFO - Epoch [89][500/1281] lr: 9.040e-03, eta: 8:45:01, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.1936, loss: 0.1936 2023-12-24 23:39:10,433 - pyskl - INFO - Epoch [89][600/1281] lr: 9.021e-03, eta: 8:44:23, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2140, loss: 0.2140 2023-12-24 23:39:53,837 - pyskl - INFO - Epoch [89][700/1281] lr: 9.001e-03, eta: 8:43:46, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.1850, loss: 0.1850 2023-12-24 23:40:37,322 - pyskl - INFO - Epoch [89][800/1281] lr: 8.982e-03, eta: 8:43:08, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.1952, loss: 0.1952 2023-12-24 23:41:20,615 - pyskl - INFO - Epoch [89][900/1281] lr: 8.962e-03, eta: 8:42:31, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 0.2052, loss: 0.2052 2023-12-24 23:42:03,217 - pyskl - INFO - Epoch [89][1000/1281] lr: 8.942e-03, eta: 8:41:53, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 0.2090, loss: 0.2090 2023-12-24 23:42:45,785 - pyskl - INFO - Epoch [89][1100/1281] lr: 8.923e-03, eta: 8:41:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.2309, loss: 0.2309 2023-12-24 23:43:28,469 - pyskl - INFO - Epoch [89][1200/1281] lr: 8.903e-03, eta: 8:40:37, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 0.2607, loss: 0.2607 2023-12-24 23:44:03,499 - pyskl - INFO - Saving checkpoint at 89 epochs 2023-12-24 23:45:16,595 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 23:45:16,663 - pyskl - INFO - top1_acc 0.8818 top5_acc 0.9920 2023-12-24 23:45:16,663 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 23:45:16,671 - pyskl - INFO - mean_acc 0.8489 2023-12-24 23:45:16,675 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_87.pth was removed 2023-12-24 23:45:16,890 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. 2023-12-24 23:45:16,890 - pyskl - INFO - Best top1_acc is 0.8818 at 89 epoch. 2023-12-24 23:45:16,893 - pyskl - INFO - Epoch(val) [89][533] top1_acc: 0.8818, top5_acc: 0.9920, mean_class_accuracy: 0.8489 2023-12-24 23:46:06,524 - pyskl - INFO - Epoch [90][100/1281] lr: 8.868e-03, eta: 8:39:09, time: 0.496, data_time: 0.171, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 0.1779, loss: 0.1779 2023-12-24 23:46:46,207 - pyskl - INFO - Epoch [90][200/1281] lr: 8.848e-03, eta: 8:38:29, time: 0.397, data_time: 0.000, memory: 4120, top1_acc: 0.9431, top5_acc: 1.0000, loss_cls: 0.2203, loss: 0.2203 2023-12-24 23:47:15,386 - pyskl - INFO - Epoch [90][300/1281] lr: 8.829e-03, eta: 8:37:41, time: 0.292, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1604, loss: 0.1604 2023-12-24 23:47:58,797 - pyskl - INFO - Epoch [90][400/1281] lr: 8.809e-03, eta: 8:37:04, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.1959, loss: 0.1959 2023-12-24 23:48:41,837 - pyskl - INFO - Epoch [90][500/1281] lr: 8.790e-03, eta: 8:36:26, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 0.2164, loss: 0.2164 2023-12-24 23:49:24,556 - pyskl - INFO - Epoch [90][600/1281] lr: 8.770e-03, eta: 8:35:48, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.2041, loss: 0.2041 2023-12-24 23:50:07,190 - pyskl - INFO - Epoch [90][700/1281] lr: 8.751e-03, eta: 8:35:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.1839, loss: 0.1839 2023-12-24 23:50:49,754 - pyskl - INFO - Epoch [90][800/1281] lr: 8.731e-03, eta: 8:34:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 0.2716, loss: 0.2716 2023-12-24 23:51:32,537 - pyskl - INFO - Epoch [90][900/1281] lr: 8.712e-03, eta: 8:33:54, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2339, loss: 0.2339 2023-12-24 23:52:15,128 - pyskl - INFO - Epoch [90][1000/1281] lr: 8.692e-03, eta: 8:33:16, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 0.2379, loss: 0.2379 2023-12-24 23:52:57,864 - pyskl - INFO - Epoch [90][1100/1281] lr: 8.673e-03, eta: 8:32:38, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2183, loss: 0.2183 2023-12-24 23:53:40,612 - pyskl - INFO - Epoch [90][1200/1281] lr: 8.653e-03, eta: 8:32:00, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2258, loss: 0.2258 2023-12-24 23:54:15,535 - pyskl - INFO - Saving checkpoint at 90 epochs 2023-12-24 23:55:29,163 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-24 23:55:29,218 - pyskl - INFO - top1_acc 0.8760 top5_acc 0.9906 2023-12-24 23:55:29,218 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-24 23:55:29,225 - pyskl - INFO - mean_acc 0.8395 2023-12-24 23:55:29,228 - pyskl - INFO - Epoch(val) [90][533] top1_acc: 0.8760, top5_acc: 0.9906, mean_class_accuracy: 0.8395 2023-12-24 23:56:20,413 - pyskl - INFO - Epoch [91][100/1281] lr: 8.618e-03, eta: 8:30:33, time: 0.512, data_time: 0.172, memory: 4120, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 0.1986, loss: 0.1986 2023-12-24 23:56:58,493 - pyskl - INFO - Epoch [91][200/1281] lr: 8.599e-03, eta: 8:29:52, time: 0.381, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.1952, loss: 0.1952 2023-12-24 23:57:28,343 - pyskl - INFO - Epoch [91][300/1281] lr: 8.579e-03, eta: 8:29:06, time: 0.298, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 0.1940, loss: 0.1940 2023-12-24 23:58:10,997 - pyskl - INFO - Epoch [91][400/1281] lr: 8.560e-03, eta: 8:28:28, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 0.1922, loss: 0.1922 2023-12-24 23:58:53,606 - pyskl - INFO - Epoch [91][500/1281] lr: 8.540e-03, eta: 8:27:50, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.1760, loss: 0.1760 2023-12-24 23:59:36,230 - pyskl - INFO - Epoch [91][600/1281] lr: 8.521e-03, eta: 8:27:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.1740, loss: 0.1740 2023-12-25 00:00:18,790 - pyskl - INFO - Epoch [91][700/1281] lr: 8.502e-03, eta: 8:26:33, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.1964, loss: 0.1964 2023-12-25 00:01:01,322 - pyskl - INFO - Epoch [91][800/1281] lr: 8.482e-03, eta: 8:25:55, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.1827, loss: 0.1827 2023-12-25 00:01:43,920 - pyskl - INFO - Epoch [91][900/1281] lr: 8.463e-03, eta: 8:25:17, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.2307, loss: 0.2307 2023-12-25 00:02:26,550 - pyskl - INFO - Epoch [91][1000/1281] lr: 8.444e-03, eta: 8:24:39, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 0.2236, loss: 0.2236 2023-12-25 00:03:09,289 - pyskl - INFO - Epoch [91][1100/1281] lr: 8.424e-03, eta: 8:24:01, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 0.1975, loss: 0.1975 2023-12-25 00:03:52,023 - pyskl - INFO - Epoch [91][1200/1281] lr: 8.405e-03, eta: 8:23:23, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.1870, loss: 0.1870 2023-12-25 00:04:27,016 - pyskl - INFO - Saving checkpoint at 91 epochs 2023-12-25 00:05:39,568 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 00:05:39,622 - pyskl - INFO - top1_acc 0.8823 top5_acc 0.9907 2023-12-25 00:05:39,622 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 00:05:39,629 - pyskl - INFO - mean_acc 0.8484 2023-12-25 00:05:39,633 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_89.pth was removed 2023-12-25 00:05:39,843 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. 2023-12-25 00:05:39,843 - pyskl - INFO - Best top1_acc is 0.8823 at 91 epoch. 2023-12-25 00:05:39,846 - pyskl - INFO - Epoch(val) [91][533] top1_acc: 0.8823, top5_acc: 0.9907, mean_class_accuracy: 0.8484 2023-12-25 00:06:30,733 - pyskl - INFO - Epoch [92][100/1281] lr: 8.370e-03, eta: 8:21:57, time: 0.509, data_time: 0.175, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1486, loss: 0.1486 2023-12-25 00:07:09,267 - pyskl - INFO - Epoch [92][200/1281] lr: 8.351e-03, eta: 8:21:16, time: 0.385, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1641, loss: 0.1641 2023-12-25 00:07:39,322 - pyskl - INFO - Epoch [92][300/1281] lr: 8.332e-03, eta: 8:20:30, time: 0.301, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1370, loss: 0.1370 2023-12-25 00:08:22,747 - pyskl - INFO - Epoch [92][400/1281] lr: 8.312e-03, eta: 8:19:52, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1599, loss: 0.1599 2023-12-25 00:09:06,357 - pyskl - INFO - Epoch [92][500/1281] lr: 8.293e-03, eta: 8:19:14, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 0.2149, loss: 0.2149 2023-12-25 00:09:49,774 - pyskl - INFO - Epoch [92][600/1281] lr: 8.274e-03, eta: 8:18:37, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1617, loss: 0.1617 2023-12-25 00:10:33,090 - pyskl - INFO - Epoch [92][700/1281] lr: 8.255e-03, eta: 8:17:59, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 0.2041, loss: 0.2041 2023-12-25 00:11:16,483 - pyskl - INFO - Epoch [92][800/1281] lr: 8.235e-03, eta: 8:17:21, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.1933, loss: 0.1933 2023-12-25 00:11:59,983 - pyskl - INFO - Epoch [92][900/1281] lr: 8.216e-03, eta: 8:16:44, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 0.2204, loss: 0.2204 2023-12-25 00:12:43,479 - pyskl - INFO - Epoch [92][1000/1281] lr: 8.197e-03, eta: 8:16:06, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.2227, loss: 0.2227 2023-12-25 00:13:26,501 - pyskl - INFO - Epoch [92][1100/1281] lr: 8.178e-03, eta: 8:15:28, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.2176, loss: 0.2176 2023-12-25 00:14:09,740 - pyskl - INFO - Epoch [92][1200/1281] lr: 8.159e-03, eta: 8:14:50, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2053, loss: 0.2053 2023-12-25 00:14:45,424 - pyskl - INFO - Saving checkpoint at 92 epochs 2023-12-25 00:15:58,665 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 00:15:58,742 - pyskl - INFO - top1_acc 0.8673 top5_acc 0.9884 2023-12-25 00:15:58,742 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 00:15:58,752 - pyskl - INFO - mean_acc 0.8220 2023-12-25 00:15:58,755 - pyskl - INFO - Epoch(val) [92][533] top1_acc: 0.8673, top5_acc: 0.9884, mean_class_accuracy: 0.8220 2023-12-25 00:16:52,010 - pyskl - INFO - Epoch [93][100/1281] lr: 8.124e-03, eta: 8:13:26, time: 0.532, data_time: 0.179, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 0.2055, loss: 0.2055 2023-12-25 00:17:28,774 - pyskl - INFO - Epoch [93][200/1281] lr: 8.105e-03, eta: 8:12:44, time: 0.368, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 0.2285, loss: 0.2285 2023-12-25 00:18:00,374 - pyskl - INFO - Epoch [93][300/1281] lr: 8.086e-03, eta: 8:11:59, time: 0.316, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 0.2055, loss: 0.2055 2023-12-25 00:18:43,775 - pyskl - INFO - Epoch [93][400/1281] lr: 8.067e-03, eta: 8:11:21, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.1714, loss: 0.1714 2023-12-25 00:19:26,780 - pyskl - INFO - Epoch [93][500/1281] lr: 8.047e-03, eta: 8:10:44, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1686, loss: 0.1686 2023-12-25 00:20:09,400 - pyskl - INFO - Epoch [93][600/1281] lr: 8.028e-03, eta: 8:10:05, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.1946, loss: 0.1946 2023-12-25 00:20:51,993 - pyskl - INFO - Epoch [93][700/1281] lr: 8.009e-03, eta: 8:09:27, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1514, loss: 0.1514 2023-12-25 00:21:34,569 - pyskl - INFO - Epoch [93][800/1281] lr: 7.990e-03, eta: 8:08:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.1794, loss: 0.1794 2023-12-25 00:22:17,318 - pyskl - INFO - Epoch [93][900/1281] lr: 7.971e-03, eta: 8:08:11, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 0.2212, loss: 0.2212 2023-12-25 00:23:00,103 - pyskl - INFO - Epoch [93][1000/1281] lr: 7.952e-03, eta: 8:07:33, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.2031, loss: 0.2031 2023-12-25 00:23:42,704 - pyskl - INFO - Epoch [93][1100/1281] lr: 7.933e-03, eta: 8:06:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 0.2008, loss: 0.2008 2023-12-25 00:24:25,439 - pyskl - INFO - Epoch [93][1200/1281] lr: 7.914e-03, eta: 8:06:16, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2161, loss: 0.2161 2023-12-25 00:25:00,366 - pyskl - INFO - Saving checkpoint at 93 epochs 2023-12-25 00:26:13,652 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 00:26:13,706 - pyskl - INFO - top1_acc 0.8769 top5_acc 0.9898 2023-12-25 00:26:13,706 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 00:26:13,713 - pyskl - INFO - mean_acc 0.8420 2023-12-25 00:26:13,715 - pyskl - INFO - Epoch(val) [93][533] top1_acc: 0.8769, top5_acc: 0.9898, mean_class_accuracy: 0.8420 2023-12-25 00:27:06,077 - pyskl - INFO - Epoch [94][100/1281] lr: 7.880e-03, eta: 8:04:52, time: 0.524, data_time: 0.168, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.1934, loss: 0.1934 2023-12-25 00:27:42,610 - pyskl - INFO - Epoch [94][200/1281] lr: 7.861e-03, eta: 8:04:10, time: 0.365, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1622, loss: 0.1622 2023-12-25 00:28:13,560 - pyskl - INFO - Epoch [94][300/1281] lr: 7.842e-03, eta: 8:03:24, time: 0.309, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.1508, loss: 0.1508 2023-12-25 00:28:56,146 - pyskl - INFO - Epoch [94][400/1281] lr: 7.823e-03, eta: 8:02:46, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1565, loss: 0.1565 2023-12-25 00:29:38,809 - pyskl - INFO - Epoch [94][500/1281] lr: 7.804e-03, eta: 8:02:08, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.1743, loss: 0.1743 2023-12-25 00:30:21,379 - pyskl - INFO - Epoch [94][600/1281] lr: 7.785e-03, eta: 8:01:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1641, loss: 0.1641 2023-12-25 00:31:03,931 - pyskl - INFO - Epoch [94][700/1281] lr: 7.766e-03, eta: 8:00:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.1955, loss: 0.1955 2023-12-25 00:31:46,874 - pyskl - INFO - Epoch [94][800/1281] lr: 7.747e-03, eta: 8:00:13, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1378, loss: 0.1378 2023-12-25 00:32:29,926 - pyskl - INFO - Epoch [94][900/1281] lr: 7.728e-03, eta: 7:59:35, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.1685, loss: 0.1685 2023-12-25 00:33:12,584 - pyskl - INFO - Epoch [94][1000/1281] lr: 7.709e-03, eta: 7:58:57, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.1934, loss: 0.1934 2023-12-25 00:33:55,174 - pyskl - INFO - Epoch [94][1100/1281] lr: 7.690e-03, eta: 7:58:19, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.1982, loss: 0.1982 2023-12-25 00:34:37,803 - pyskl - INFO - Epoch [94][1200/1281] lr: 7.672e-03, eta: 7:57:40, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 0.2213, loss: 0.2213 2023-12-25 00:35:12,799 - pyskl - INFO - Saving checkpoint at 94 epochs 2023-12-25 00:36:25,860 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 00:36:25,914 - pyskl - INFO - top1_acc 0.8836 top5_acc 0.9905 2023-12-25 00:36:25,914 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 00:36:25,920 - pyskl - INFO - mean_acc 0.8517 2023-12-25 00:36:25,925 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_91.pth was removed 2023-12-25 00:36:26,107 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. 2023-12-25 00:36:26,108 - pyskl - INFO - Best top1_acc is 0.8836 at 94 epoch. 2023-12-25 00:36:26,111 - pyskl - INFO - Epoch(val) [94][533] top1_acc: 0.8836, top5_acc: 0.9905, mean_class_accuracy: 0.8517 2023-12-25 00:37:18,463 - pyskl - INFO - Epoch [95][100/1281] lr: 7.637e-03, eta: 7:56:16, time: 0.523, data_time: 0.172, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.1541, loss: 0.1541 2023-12-25 00:37:55,514 - pyskl - INFO - Epoch [95][200/1281] lr: 7.619e-03, eta: 7:55:35, time: 0.371, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1484, loss: 0.1484 2023-12-25 00:38:27,479 - pyskl - INFO - Epoch [95][300/1281] lr: 7.600e-03, eta: 7:54:50, time: 0.320, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.1656, loss: 0.1656 2023-12-25 00:39:10,899 - pyskl - INFO - Epoch [95][400/1281] lr: 7.581e-03, eta: 7:54:12, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1416, loss: 0.1416 2023-12-25 00:39:54,289 - pyskl - INFO - Epoch [95][500/1281] lr: 7.562e-03, eta: 7:53:35, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1545, loss: 0.1545 2023-12-25 00:40:37,705 - pyskl - INFO - Epoch [95][600/1281] lr: 7.543e-03, eta: 7:52:57, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.1800, loss: 0.1800 2023-12-25 00:41:21,102 - pyskl - INFO - Epoch [95][700/1281] lr: 7.525e-03, eta: 7:52:19, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2360, loss: 0.2360 2023-12-25 00:42:04,537 - pyskl - INFO - Epoch [95][800/1281] lr: 7.506e-03, eta: 7:51:41, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 0.2209, loss: 0.2209 2023-12-25 00:42:48,059 - pyskl - INFO - Epoch [95][900/1281] lr: 7.487e-03, eta: 7:51:03, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1621, loss: 0.1621 2023-12-25 00:43:31,409 - pyskl - INFO - Epoch [95][1000/1281] lr: 7.468e-03, eta: 7:50:26, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1543, loss: 0.1543 2023-12-25 00:44:14,764 - pyskl - INFO - Epoch [95][1100/1281] lr: 7.450e-03, eta: 7:49:48, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 0.2183, loss: 0.2183 2023-12-25 00:44:58,140 - pyskl - INFO - Epoch [95][1200/1281] lr: 7.431e-03, eta: 7:49:10, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.1787, loss: 0.1787 2023-12-25 00:45:33,778 - pyskl - INFO - Saving checkpoint at 95 epochs 2023-12-25 00:46:47,019 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 00:46:47,074 - pyskl - INFO - top1_acc 0.8880 top5_acc 0.9911 2023-12-25 00:46:47,074 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 00:46:47,080 - pyskl - INFO - mean_acc 0.8487 2023-12-25 00:46:47,084 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_94.pth was removed 2023-12-25 00:46:47,282 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_95.pth. 2023-12-25 00:46:47,282 - pyskl - INFO - Best top1_acc is 0.8880 at 95 epoch. 2023-12-25 00:46:47,286 - pyskl - INFO - Epoch(val) [95][533] top1_acc: 0.8880, top5_acc: 0.9911, mean_class_accuracy: 0.8487 2023-12-25 00:47:40,464 - pyskl - INFO - Epoch [96][100/1281] lr: 7.397e-03, eta: 7:47:46, time: 0.532, data_time: 0.169, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1534, loss: 0.1534 2023-12-25 00:48:16,389 - pyskl - INFO - Epoch [96][200/1281] lr: 7.379e-03, eta: 7:47:04, time: 0.359, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1560, loss: 0.1560 2023-12-25 00:48:48,627 - pyskl - INFO - Epoch [96][300/1281] lr: 7.360e-03, eta: 7:46:20, time: 0.322, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1466, loss: 0.1466 2023-12-25 00:49:31,178 - pyskl - INFO - Epoch [96][400/1281] lr: 7.341e-03, eta: 7:45:42, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1337, loss: 0.1337 2023-12-25 00:50:13,715 - pyskl - INFO - Epoch [96][500/1281] lr: 7.323e-03, eta: 7:45:03, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1446, loss: 0.1446 2023-12-25 00:50:56,403 - pyskl - INFO - Epoch [96][600/1281] lr: 7.304e-03, eta: 7:44:25, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1583, loss: 0.1583 2023-12-25 00:51:38,984 - pyskl - INFO - Epoch [96][700/1281] lr: 7.286e-03, eta: 7:43:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1689, loss: 0.1689 2023-12-25 00:52:21,502 - pyskl - INFO - Epoch [96][800/1281] lr: 7.267e-03, eta: 7:43:08, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 0.1893, loss: 0.1893 2023-12-25 00:53:04,242 - pyskl - INFO - Epoch [96][900/1281] lr: 7.249e-03, eta: 7:42:30, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1615, loss: 0.1615 2023-12-25 00:53:46,938 - pyskl - INFO - Epoch [96][1000/1281] lr: 7.230e-03, eta: 7:41:52, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1606, loss: 0.1606 2023-12-25 00:54:29,520 - pyskl - INFO - Epoch [96][1100/1281] lr: 7.211e-03, eta: 7:41:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1784, loss: 0.1784 2023-12-25 00:55:12,056 - pyskl - INFO - Epoch [96][1200/1281] lr: 7.193e-03, eta: 7:40:35, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1684, loss: 0.1684 2023-12-25 00:55:47,000 - pyskl - INFO - Saving checkpoint at 96 epochs 2023-12-25 00:56:59,771 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 00:56:59,826 - pyskl - INFO - top1_acc 0.8814 top5_acc 0.9880 2023-12-25 00:56:59,826 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 00:56:59,832 - pyskl - INFO - mean_acc 0.8435 2023-12-25 00:56:59,834 - pyskl - INFO - Epoch(val) [96][533] top1_acc: 0.8814, top5_acc: 0.9880, mean_class_accuracy: 0.8435 2023-12-25 00:57:53,196 - pyskl - INFO - Epoch [97][100/1281] lr: 7.159e-03, eta: 7:39:12, time: 0.534, data_time: 0.172, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1306, loss: 0.1306 2023-12-25 00:58:29,326 - pyskl - INFO - Epoch [97][200/1281] lr: 7.141e-03, eta: 7:38:30, time: 0.361, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1386, loss: 0.1386 2023-12-25 00:59:01,863 - pyskl - INFO - Epoch [97][300/1281] lr: 7.123e-03, eta: 7:37:46, time: 0.325, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.1736, loss: 0.1736 2023-12-25 00:59:44,769 - pyskl - INFO - Epoch [97][400/1281] lr: 7.104e-03, eta: 7:37:08, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1797, loss: 0.1797 2023-12-25 01:00:27,432 - pyskl - INFO - Epoch [97][500/1281] lr: 7.086e-03, eta: 7:36:30, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1615, loss: 0.1615 2023-12-25 01:01:09,997 - pyskl - INFO - Epoch [97][600/1281] lr: 7.067e-03, eta: 7:35:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 0.1825, loss: 0.1825 2023-12-25 01:01:52,694 - pyskl - INFO - Epoch [97][700/1281] lr: 7.049e-03, eta: 7:35:13, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1716, loss: 0.1716 2023-12-25 01:02:35,434 - pyskl - INFO - Epoch [97][800/1281] lr: 7.030e-03, eta: 7:34:34, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.1627, loss: 0.1627 2023-12-25 01:03:18,174 - pyskl - INFO - Epoch [97][900/1281] lr: 7.012e-03, eta: 7:33:56, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.1957, loss: 0.1957 2023-12-25 01:04:00,836 - pyskl - INFO - Epoch [97][1000/1281] lr: 6.994e-03, eta: 7:33:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1614, loss: 0.1614 2023-12-25 01:04:43,493 - pyskl - INFO - Epoch [97][1100/1281] lr: 6.975e-03, eta: 7:32:39, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 0.1635, loss: 0.1635 2023-12-25 01:05:26,062 - pyskl - INFO - Epoch [97][1200/1281] lr: 6.957e-03, eta: 7:32:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.1990, loss: 0.1990 2023-12-25 01:06:01,059 - pyskl - INFO - Saving checkpoint at 97 epochs 2023-12-25 01:07:13,862 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 01:07:13,918 - pyskl - INFO - top1_acc 0.8944 top5_acc 0.9906 2023-12-25 01:07:13,918 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 01:07:13,925 - pyskl - INFO - mean_acc 0.8682 2023-12-25 01:07:13,929 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_95.pth was removed 2023-12-25 01:07:14,160 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. 2023-12-25 01:07:14,161 - pyskl - INFO - Best top1_acc is 0.8944 at 97 epoch. 2023-12-25 01:07:14,163 - pyskl - INFO - Epoch(val) [97][533] top1_acc: 0.8944, top5_acc: 0.9906, mean_class_accuracy: 0.8682 2023-12-25 01:08:08,008 - pyskl - INFO - Epoch [98][100/1281] lr: 6.924e-03, eta: 7:30:39, time: 0.538, data_time: 0.172, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1481, loss: 0.1481 2023-12-25 01:08:43,387 - pyskl - INFO - Epoch [98][200/1281] lr: 6.906e-03, eta: 7:29:56, time: 0.354, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1617, loss: 0.1617 2023-12-25 01:09:16,153 - pyskl - INFO - Epoch [98][300/1281] lr: 6.887e-03, eta: 7:29:13, time: 0.328, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1623, loss: 0.1623 2023-12-25 01:09:59,571 - pyskl - INFO - Epoch [98][400/1281] lr: 6.869e-03, eta: 7:28:35, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 0.1711, loss: 0.1711 2023-12-25 01:10:42,966 - pyskl - INFO - Epoch [98][500/1281] lr: 6.851e-03, eta: 7:27:57, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1546, loss: 0.1546 2023-12-25 01:11:26,435 - pyskl - INFO - Epoch [98][600/1281] lr: 6.833e-03, eta: 7:27:19, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 0.1767, loss: 0.1767 2023-12-25 01:12:10,010 - pyskl - INFO - Epoch [98][700/1281] lr: 6.814e-03, eta: 7:26:41, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 0.1767, loss: 0.1767 2023-12-25 01:12:53,361 - pyskl - INFO - Epoch [98][800/1281] lr: 6.796e-03, eta: 7:26:03, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1508, loss: 0.1508 2023-12-25 01:13:36,598 - pyskl - INFO - Epoch [98][900/1281] lr: 6.778e-03, eta: 7:25:25, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.2055, loss: 0.2055 2023-12-25 01:14:19,232 - pyskl - INFO - Epoch [98][1000/1281] lr: 6.760e-03, eta: 7:24:46, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1659, loss: 0.1659 2023-12-25 01:15:01,946 - pyskl - INFO - Epoch [98][1100/1281] lr: 6.742e-03, eta: 7:24:08, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1533, loss: 0.1533 2023-12-25 01:15:44,612 - pyskl - INFO - Epoch [98][1200/1281] lr: 6.724e-03, eta: 7:23:29, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.1546, loss: 0.1546 2023-12-25 01:16:19,582 - pyskl - INFO - Saving checkpoint at 98 epochs 2023-12-25 01:17:32,836 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 01:17:32,894 - pyskl - INFO - top1_acc 0.8964 top5_acc 0.9925 2023-12-25 01:17:32,894 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 01:17:32,900 - pyskl - INFO - mean_acc 0.8623 2023-12-25 01:17:32,905 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_97.pth was removed 2023-12-25 01:17:33,094 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. 2023-12-25 01:17:33,094 - pyskl - INFO - Best top1_acc is 0.8964 at 98 epoch. 2023-12-25 01:17:33,098 - pyskl - INFO - Epoch(val) [98][533] top1_acc: 0.8964, top5_acc: 0.9925, mean_class_accuracy: 0.8623 2023-12-25 01:18:27,803 - pyskl - INFO - Epoch [99][100/1281] lr: 6.691e-03, eta: 7:22:08, time: 0.547, data_time: 0.170, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1288, loss: 0.1288 2023-12-25 01:19:02,114 - pyskl - INFO - Epoch [99][200/1281] lr: 6.673e-03, eta: 7:21:25, time: 0.343, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1310, loss: 0.1310 2023-12-25 01:19:36,273 - pyskl - INFO - Epoch [99][300/1281] lr: 6.655e-03, eta: 7:20:42, time: 0.342, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1494, loss: 0.1494 2023-12-25 01:20:19,654 - pyskl - INFO - Epoch [99][400/1281] lr: 6.637e-03, eta: 7:20:04, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.1832, loss: 0.1832 2023-12-25 01:21:03,044 - pyskl - INFO - Epoch [99][500/1281] lr: 6.619e-03, eta: 7:19:26, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1532, loss: 0.1532 2023-12-25 01:21:46,537 - pyskl - INFO - Epoch [99][600/1281] lr: 6.601e-03, eta: 7:18:48, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1501, loss: 0.1501 2023-12-25 01:22:29,985 - pyskl - INFO - Epoch [99][700/1281] lr: 6.583e-03, eta: 7:18:10, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1794, loss: 0.1794 2023-12-25 01:23:13,370 - pyskl - INFO - Epoch [99][800/1281] lr: 6.565e-03, eta: 7:17:32, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1605, loss: 0.1605 2023-12-25 01:23:56,710 - pyskl - INFO - Epoch [99][900/1281] lr: 6.547e-03, eta: 7:16:54, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1491, loss: 0.1491 2023-12-25 01:24:40,092 - pyskl - INFO - Epoch [99][1000/1281] lr: 6.529e-03, eta: 7:16:16, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1777, loss: 0.1777 2023-12-25 01:25:23,559 - pyskl - INFO - Epoch [99][1100/1281] lr: 6.511e-03, eta: 7:15:38, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1454, loss: 0.1454 2023-12-25 01:26:06,453 - pyskl - INFO - Epoch [99][1200/1281] lr: 6.493e-03, eta: 7:15:00, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.1723, loss: 0.1723 2023-12-25 01:26:41,488 - pyskl - INFO - Saving checkpoint at 99 epochs 2023-12-25 01:27:54,799 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 01:27:54,855 - pyskl - INFO - top1_acc 0.8798 top5_acc 0.9878 2023-12-25 01:27:54,855 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 01:27:54,862 - pyskl - INFO - mean_acc 0.8444 2023-12-25 01:27:54,863 - pyskl - INFO - Epoch(val) [99][533] top1_acc: 0.8798, top5_acc: 0.9878, mean_class_accuracy: 0.8444 2023-12-25 01:28:50,934 - pyskl - INFO - Epoch [100][100/1281] lr: 6.460e-03, eta: 7:13:39, time: 0.561, data_time: 0.173, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1417, loss: 0.1417 2023-12-25 01:29:24,567 - pyskl - INFO - Epoch [100][200/1281] lr: 6.442e-03, eta: 7:12:56, time: 0.336, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1321, loss: 0.1321 2023-12-25 01:29:58,996 - pyskl - INFO - Epoch [100][300/1281] lr: 6.425e-03, eta: 7:12:13, time: 0.344, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1387, loss: 0.1387 2023-12-25 01:30:41,580 - pyskl - INFO - Epoch [100][400/1281] lr: 6.407e-03, eta: 7:11:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1454, loss: 0.1454 2023-12-25 01:31:24,219 - pyskl - INFO - Epoch [100][500/1281] lr: 6.389e-03, eta: 7:10:56, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1269, loss: 0.1269 2023-12-25 01:32:06,944 - pyskl - INFO - Epoch [100][600/1281] lr: 6.371e-03, eta: 7:10:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1726, loss: 0.1726 2023-12-25 01:32:50,337 - pyskl - INFO - Epoch [100][700/1281] lr: 6.353e-03, eta: 7:09:40, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1482, loss: 0.1482 2023-12-25 01:33:33,778 - pyskl - INFO - Epoch [100][800/1281] lr: 6.336e-03, eta: 7:09:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1555, loss: 0.1555 2023-12-25 01:34:17,157 - pyskl - INFO - Epoch [100][900/1281] lr: 6.318e-03, eta: 7:08:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 0.1951, loss: 0.1951 2023-12-25 01:35:00,548 - pyskl - INFO - Epoch [100][1000/1281] lr: 6.300e-03, eta: 7:07:45, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.1694, loss: 0.1694 2023-12-25 01:35:43,967 - pyskl - INFO - Epoch [100][1100/1281] lr: 6.282e-03, eta: 7:07:07, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1383, loss: 0.1383 2023-12-25 01:36:27,232 - pyskl - INFO - Epoch [100][1200/1281] lr: 6.265e-03, eta: 7:06:29, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.1583, loss: 0.1583 2023-12-25 01:37:02,265 - pyskl - INFO - Saving checkpoint at 100 epochs 2023-12-25 01:38:15,359 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 01:38:15,415 - pyskl - INFO - top1_acc 0.8856 top5_acc 0.9920 2023-12-25 01:38:15,415 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 01:38:15,422 - pyskl - INFO - mean_acc 0.8504 2023-12-25 01:38:15,424 - pyskl - INFO - Epoch(val) [100][533] top1_acc: 0.8856, top5_acc: 0.9920, mean_class_accuracy: 0.8504 2023-12-25 01:39:12,642 - pyskl - INFO - Epoch [101][100/1281] lr: 6.232e-03, eta: 7:05:09, time: 0.572, data_time: 0.174, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.1598, loss: 0.1598 2023-12-25 01:39:44,875 - pyskl - INFO - Epoch [101][200/1281] lr: 6.215e-03, eta: 7:04:26, time: 0.322, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1591, loss: 0.1591 2023-12-25 01:40:20,897 - pyskl - INFO - Epoch [101][300/1281] lr: 6.197e-03, eta: 7:03:44, time: 0.360, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1187, loss: 0.1187 2023-12-25 01:41:04,296 - pyskl - INFO - Epoch [101][400/1281] lr: 6.180e-03, eta: 7:03:06, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.1512, loss: 0.1512 2023-12-25 01:41:47,669 - pyskl - INFO - Epoch [101][500/1281] lr: 6.162e-03, eta: 7:02:27, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1515, loss: 0.1515 2023-12-25 01:42:31,107 - pyskl - INFO - Epoch [101][600/1281] lr: 6.144e-03, eta: 7:01:49, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1315, loss: 0.1315 2023-12-25 01:43:14,081 - pyskl - INFO - Epoch [101][700/1281] lr: 6.127e-03, eta: 7:01:11, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1651, loss: 0.1651 2023-12-25 01:43:56,611 - pyskl - INFO - Epoch [101][800/1281] lr: 6.109e-03, eta: 7:00:32, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 0.1564, loss: 0.1564 2023-12-25 01:44:39,315 - pyskl - INFO - Epoch [101][900/1281] lr: 6.092e-03, eta: 6:59:54, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1153, loss: 0.1153 2023-12-25 01:45:21,907 - pyskl - INFO - Epoch [101][1000/1281] lr: 6.074e-03, eta: 6:59:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 0.1641, loss: 0.1641 2023-12-25 01:46:04,393 - pyskl - INFO - Epoch [101][1100/1281] lr: 6.057e-03, eta: 6:58:37, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1290, loss: 0.1290 2023-12-25 01:46:46,965 - pyskl - INFO - Epoch [101][1200/1281] lr: 6.039e-03, eta: 6:57:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1409, loss: 0.1409 2023-12-25 01:47:21,940 - pyskl - INFO - Saving checkpoint at 101 epochs 2023-12-25 01:48:34,525 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 01:48:34,579 - pyskl - INFO - top1_acc 0.8951 top5_acc 0.9906 2023-12-25 01:48:34,580 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 01:48:34,586 - pyskl - INFO - mean_acc 0.8559 2023-12-25 01:48:34,588 - pyskl - INFO - Epoch(val) [101][533] top1_acc: 0.8951, top5_acc: 0.9906, mean_class_accuracy: 0.8559 2023-12-25 01:49:32,332 - pyskl - INFO - Epoch [102][100/1281] lr: 6.007e-03, eta: 6:56:39, time: 0.577, data_time: 0.178, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1083, loss: 0.1083 2023-12-25 01:50:04,722 - pyskl - INFO - Epoch [102][200/1281] lr: 5.990e-03, eta: 6:55:55, time: 0.324, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1242, loss: 0.1242 2023-12-25 01:50:40,743 - pyskl - INFO - Epoch [102][300/1281] lr: 5.972e-03, eta: 6:55:14, time: 0.360, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1357, loss: 0.1357 2023-12-25 01:51:23,464 - pyskl - INFO - Epoch [102][400/1281] lr: 5.955e-03, eta: 6:54:35, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.1706, loss: 0.1706 2023-12-25 01:52:06,780 - pyskl - INFO - Epoch [102][500/1281] lr: 5.938e-03, eta: 6:53:57, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1306, loss: 0.1306 2023-12-25 01:52:50,195 - pyskl - INFO - Epoch [102][600/1281] lr: 5.920e-03, eta: 6:53:19, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1314, loss: 0.1314 2023-12-25 01:53:33,613 - pyskl - INFO - Epoch [102][700/1281] lr: 5.903e-03, eta: 6:52:40, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1315, loss: 0.1315 2023-12-25 01:54:16,992 - pyskl - INFO - Epoch [102][800/1281] lr: 5.886e-03, eta: 6:52:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1354, loss: 0.1354 2023-12-25 01:55:00,443 - pyskl - INFO - Epoch [102][900/1281] lr: 5.868e-03, eta: 6:51:24, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1684, loss: 0.1684 2023-12-25 01:55:43,855 - pyskl - INFO - Epoch [102][1000/1281] lr: 5.851e-03, eta: 6:50:46, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.1540, loss: 0.1540 2023-12-25 01:56:27,319 - pyskl - INFO - Epoch [102][1100/1281] lr: 5.834e-03, eta: 6:50:07, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1177, loss: 0.1177 2023-12-25 01:57:10,681 - pyskl - INFO - Epoch [102][1200/1281] lr: 5.816e-03, eta: 6:49:29, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1328, loss: 0.1328 2023-12-25 01:57:46,274 - pyskl - INFO - Saving checkpoint at 102 epochs 2023-12-25 01:58:59,100 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 01:58:59,167 - pyskl - INFO - top1_acc 0.8889 top5_acc 0.9920 2023-12-25 01:58:59,167 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 01:58:59,175 - pyskl - INFO - mean_acc 0.8402 2023-12-25 01:58:59,177 - pyskl - INFO - Epoch(val) [102][533] top1_acc: 0.8889, top5_acc: 0.9920, mean_class_accuracy: 0.8402 2023-12-25 01:59:56,027 - pyskl - INFO - Epoch [103][100/1281] lr: 5.785e-03, eta: 6:48:10, time: 0.568, data_time: 0.171, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1402, loss: 0.1402 2023-12-25 02:00:28,522 - pyskl - INFO - Epoch [103][200/1281] lr: 5.768e-03, eta: 6:47:26, time: 0.325, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1239, loss: 0.1239 2023-12-25 02:01:04,334 - pyskl - INFO - Epoch [103][300/1281] lr: 5.751e-03, eta: 6:46:45, time: 0.358, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1250, loss: 0.1250 2023-12-25 02:01:47,818 - pyskl - INFO - Epoch [103][400/1281] lr: 5.733e-03, eta: 6:46:06, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1251, loss: 0.1251 2023-12-25 02:02:31,345 - pyskl - INFO - Epoch [103][500/1281] lr: 5.716e-03, eta: 6:45:28, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1345, loss: 0.1345 2023-12-25 02:03:14,236 - pyskl - INFO - Epoch [103][600/1281] lr: 5.699e-03, eta: 6:44:50, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1150, loss: 0.1150 2023-12-25 02:03:56,861 - pyskl - INFO - Epoch [103][700/1281] lr: 5.682e-03, eta: 6:44:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1626, loss: 0.1626 2023-12-25 02:04:39,481 - pyskl - INFO - Epoch [103][800/1281] lr: 5.665e-03, eta: 6:43:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1406, loss: 0.1406 2023-12-25 02:05:22,272 - pyskl - INFO - Epoch [103][900/1281] lr: 5.648e-03, eta: 6:42:54, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1423, loss: 0.1423 2023-12-25 02:06:04,826 - pyskl - INFO - Epoch [103][1000/1281] lr: 5.631e-03, eta: 6:42:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1371, loss: 0.1371 2023-12-25 02:06:47,400 - pyskl - INFO - Epoch [103][1100/1281] lr: 5.614e-03, eta: 6:41:37, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1156, loss: 0.1156 2023-12-25 02:07:29,970 - pyskl - INFO - Epoch [103][1200/1281] lr: 5.597e-03, eta: 6:40:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1521, loss: 0.1521 2023-12-25 02:08:05,028 - pyskl - INFO - Saving checkpoint at 103 epochs 2023-12-25 02:09:17,904 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 02:09:17,971 - pyskl - INFO - top1_acc 0.8887 top5_acc 0.9906 2023-12-25 02:09:17,971 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 02:09:17,978 - pyskl - INFO - mean_acc 0.8582 2023-12-25 02:09:17,980 - pyskl - INFO - Epoch(val) [103][533] top1_acc: 0.8887, top5_acc: 0.9906, mean_class_accuracy: 0.8582 2023-12-25 02:10:16,032 - pyskl - INFO - Epoch [104][100/1281] lr: 5.566e-03, eta: 6:39:39, time: 0.580, data_time: 0.176, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1365, loss: 0.1365 2023-12-25 02:10:47,710 - pyskl - INFO - Epoch [104][200/1281] lr: 5.549e-03, eta: 6:38:56, time: 0.317, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1279, loss: 0.1279 2023-12-25 02:11:24,217 - pyskl - INFO - Epoch [104][300/1281] lr: 5.532e-03, eta: 6:38:14, time: 0.365, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1029, loss: 0.1029 2023-12-25 02:12:06,998 - pyskl - INFO - Epoch [104][400/1281] lr: 5.515e-03, eta: 6:37:36, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1199, loss: 0.1199 2023-12-25 02:12:49,602 - pyskl - INFO - Epoch [104][500/1281] lr: 5.498e-03, eta: 6:36:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1106, loss: 0.1106 2023-12-25 02:13:32,093 - pyskl - INFO - Epoch [104][600/1281] lr: 5.481e-03, eta: 6:36:18, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1296, loss: 0.1296 2023-12-25 02:14:14,780 - pyskl - INFO - Epoch [104][700/1281] lr: 5.464e-03, eta: 6:35:39, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1352, loss: 0.1352 2023-12-25 02:14:57,495 - pyskl - INFO - Epoch [104][800/1281] lr: 5.447e-03, eta: 6:35:01, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1430, loss: 0.1430 2023-12-25 02:15:40,017 - pyskl - INFO - Epoch [104][900/1281] lr: 5.430e-03, eta: 6:34:22, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1330, loss: 0.1330 2023-12-25 02:16:22,741 - pyskl - INFO - Epoch [104][1000/1281] lr: 5.413e-03, eta: 6:33:44, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1239, loss: 0.1239 2023-12-25 02:17:05,326 - pyskl - INFO - Epoch [104][1100/1281] lr: 5.397e-03, eta: 6:33:05, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1046, loss: 0.1046 2023-12-25 02:17:47,971 - pyskl - INFO - Epoch [104][1200/1281] lr: 5.380e-03, eta: 6:32:26, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1189, loss: 0.1189 2023-12-25 02:18:23,556 - pyskl - INFO - Saving checkpoint at 104 epochs 2023-12-25 02:19:36,447 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 02:19:36,503 - pyskl - INFO - top1_acc 0.8905 top5_acc 0.9917 2023-12-25 02:19:36,504 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 02:19:36,512 - pyskl - INFO - mean_acc 0.8615 2023-12-25 02:19:36,515 - pyskl - INFO - Epoch(val) [104][533] top1_acc: 0.8905, top5_acc: 0.9917, mean_class_accuracy: 0.8615 2023-12-25 02:20:34,253 - pyskl - INFO - Epoch [105][100/1281] lr: 5.349e-03, eta: 6:31:07, time: 0.577, data_time: 0.174, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1239, loss: 0.1239 2023-12-25 02:21:06,289 - pyskl - INFO - Epoch [105][200/1281] lr: 5.333e-03, eta: 6:30:24, time: 0.320, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0845, loss: 0.0845 2023-12-25 02:21:41,937 - pyskl - INFO - Epoch [105][300/1281] lr: 5.316e-03, eta: 6:29:42, time: 0.356, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1195, loss: 0.1195 2023-12-25 02:22:25,283 - pyskl - INFO - Epoch [105][400/1281] lr: 5.299e-03, eta: 6:29:04, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1001, loss: 0.1001 2023-12-25 02:23:08,709 - pyskl - INFO - Epoch [105][500/1281] lr: 5.283e-03, eta: 6:28:26, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1257, loss: 0.1257 2023-12-25 02:23:52,322 - pyskl - INFO - Epoch [105][600/1281] lr: 5.266e-03, eta: 6:27:47, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1015, loss: 0.1015 2023-12-25 02:24:35,797 - pyskl - INFO - Epoch [105][700/1281] lr: 5.249e-03, eta: 6:27:09, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1046, loss: 0.1046 2023-12-25 02:25:19,122 - pyskl - INFO - Epoch [105][800/1281] lr: 5.233e-03, eta: 6:26:31, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1456, loss: 0.1456 2023-12-25 02:26:02,513 - pyskl - INFO - Epoch [105][900/1281] lr: 5.216e-03, eta: 6:25:52, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1411, loss: 0.1411 2023-12-25 02:26:45,893 - pyskl - INFO - Epoch [105][1000/1281] lr: 5.199e-03, eta: 6:25:14, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1426, loss: 0.1426 2023-12-25 02:27:29,254 - pyskl - INFO - Epoch [105][1100/1281] lr: 5.183e-03, eta: 6:24:35, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1480, loss: 0.1480 2023-12-25 02:28:12,754 - pyskl - INFO - Epoch [105][1200/1281] lr: 5.166e-03, eta: 6:23:57, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1313, loss: 0.1313 2023-12-25 02:28:48,336 - pyskl - INFO - Saving checkpoint at 105 epochs 2023-12-25 02:30:01,264 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 02:30:01,325 - pyskl - INFO - top1_acc 0.9033 top5_acc 0.9920 2023-12-25 02:30:01,326 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 02:30:01,335 - pyskl - INFO - mean_acc 0.8708 2023-12-25 02:30:01,340 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_98.pth was removed 2023-12-25 02:30:01,568 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. 2023-12-25 02:30:01,568 - pyskl - INFO - Best top1_acc is 0.9033 at 105 epoch. 2023-12-25 02:30:01,571 - pyskl - INFO - Epoch(val) [105][533] top1_acc: 0.9033, top5_acc: 0.9920, mean_class_accuracy: 0.8708 2023-12-25 02:31:00,050 - pyskl - INFO - Epoch [106][100/1281] lr: 5.136e-03, eta: 6:22:39, time: 0.585, data_time: 0.178, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0966, loss: 0.0966 2023-12-25 02:31:31,641 - pyskl - INFO - Epoch [106][200/1281] lr: 5.120e-03, eta: 6:21:56, time: 0.316, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0938, loss: 0.0938 2023-12-25 02:32:08,013 - pyskl - INFO - Epoch [106][300/1281] lr: 5.103e-03, eta: 6:21:14, time: 0.364, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0924, loss: 0.0924 2023-12-25 02:32:51,540 - pyskl - INFO - Epoch [106][400/1281] lr: 5.087e-03, eta: 6:20:36, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0865, loss: 0.0865 2023-12-25 02:33:34,958 - pyskl - INFO - Epoch [106][500/1281] lr: 5.070e-03, eta: 6:19:57, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0932, loss: 0.0932 2023-12-25 02:34:18,396 - pyskl - INFO - Epoch [106][600/1281] lr: 5.054e-03, eta: 6:19:19, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1113, loss: 0.1113 2023-12-25 02:35:01,811 - pyskl - INFO - Epoch [106][700/1281] lr: 5.038e-03, eta: 6:18:41, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1383, loss: 0.1383 2023-12-25 02:35:45,242 - pyskl - INFO - Epoch [106][800/1281] lr: 5.021e-03, eta: 6:18:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1051, loss: 0.1051 2023-12-25 02:36:28,157 - pyskl - INFO - Epoch [106][900/1281] lr: 5.005e-03, eta: 6:17:24, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1256, loss: 0.1256 2023-12-25 02:37:10,797 - pyskl - INFO - Epoch [106][1000/1281] lr: 4.988e-03, eta: 6:16:45, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1051, loss: 0.1051 2023-12-25 02:37:53,393 - pyskl - INFO - Epoch [106][1100/1281] lr: 4.972e-03, eta: 6:16:06, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1254, loss: 0.1254 2023-12-25 02:38:36,086 - pyskl - INFO - Epoch [106][1200/1281] lr: 4.956e-03, eta: 6:15:27, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1348, loss: 0.1348 2023-12-25 02:39:11,035 - pyskl - INFO - Saving checkpoint at 106 epochs 2023-12-25 02:40:23,961 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 02:40:24,015 - pyskl - INFO - top1_acc 0.8998 top5_acc 0.9910 2023-12-25 02:40:24,015 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 02:40:24,022 - pyskl - INFO - mean_acc 0.8695 2023-12-25 02:40:24,023 - pyskl - INFO - Epoch(val) [106][533] top1_acc: 0.8998, top5_acc: 0.9910, mean_class_accuracy: 0.8695 2023-12-25 02:41:21,465 - pyskl - INFO - Epoch [107][100/1281] lr: 4.926e-03, eta: 6:14:09, time: 0.574, data_time: 0.173, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0963, loss: 0.0963 2023-12-25 02:41:53,411 - pyskl - INFO - Epoch [107][200/1281] lr: 4.910e-03, eta: 6:13:26, time: 0.319, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0962, loss: 0.0962 2023-12-25 02:42:29,602 - pyskl - INFO - Epoch [107][300/1281] lr: 4.894e-03, eta: 6:12:44, time: 0.362, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0755, loss: 0.0755 2023-12-25 02:43:12,971 - pyskl - INFO - Epoch [107][400/1281] lr: 4.878e-03, eta: 6:12:06, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1291, loss: 0.1291 2023-12-25 02:43:56,359 - pyskl - INFO - Epoch [107][500/1281] lr: 4.862e-03, eta: 6:11:27, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1227, loss: 0.1227 2023-12-25 02:44:39,280 - pyskl - INFO - Epoch [107][600/1281] lr: 4.845e-03, eta: 6:10:49, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1354, loss: 0.1354 2023-12-25 02:45:21,884 - pyskl - INFO - Epoch [107][700/1281] lr: 4.829e-03, eta: 6:10:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1142, loss: 0.1142 2023-12-25 02:46:04,572 - pyskl - INFO - Epoch [107][800/1281] lr: 4.813e-03, eta: 6:09:31, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1009, loss: 0.1009 2023-12-25 02:46:47,224 - pyskl - INFO - Epoch [107][900/1281] lr: 4.797e-03, eta: 6:08:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1014, loss: 0.1014 2023-12-25 02:47:29,719 - pyskl - INFO - Epoch [107][1000/1281] lr: 4.781e-03, eta: 6:08:13, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1139, loss: 0.1139 2023-12-25 02:48:12,354 - pyskl - INFO - Epoch [107][1100/1281] lr: 4.765e-03, eta: 6:07:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1296, loss: 0.1296 2023-12-25 02:48:55,031 - pyskl - INFO - Epoch [107][1200/1281] lr: 4.749e-03, eta: 6:06:56, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1248, loss: 0.1248 2023-12-25 02:49:29,966 - pyskl - INFO - Saving checkpoint at 107 epochs 2023-12-25 02:50:43,321 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 02:50:43,377 - pyskl - INFO - top1_acc 0.8987 top5_acc 0.9919 2023-12-25 02:50:43,377 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 02:50:43,386 - pyskl - INFO - mean_acc 0.8614 2023-12-25 02:50:43,390 - pyskl - INFO - Epoch(val) [107][533] top1_acc: 0.8987, top5_acc: 0.9919, mean_class_accuracy: 0.8614 2023-12-25 02:51:43,731 - pyskl - INFO - Epoch [108][100/1281] lr: 4.720e-03, eta: 6:05:39, time: 0.603, data_time: 0.185, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0978, loss: 0.0978 2023-12-25 02:52:14,055 - pyskl - INFO - Epoch [108][200/1281] lr: 4.704e-03, eta: 6:04:55, time: 0.303, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0946, loss: 0.0946 2023-12-25 02:52:51,046 - pyskl - INFO - Epoch [108][300/1281] lr: 4.688e-03, eta: 6:04:14, time: 0.370, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0740, loss: 0.0740 2023-12-25 02:53:33,719 - pyskl - INFO - Epoch [108][400/1281] lr: 4.672e-03, eta: 6:03:35, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0722, loss: 0.0722 2023-12-25 02:54:16,458 - pyskl - INFO - Epoch [108][500/1281] lr: 4.656e-03, eta: 6:02:57, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0888, loss: 0.0888 2023-12-25 02:54:59,025 - pyskl - INFO - Epoch [108][600/1281] lr: 4.640e-03, eta: 6:02:18, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1021, loss: 0.1021 2023-12-25 02:55:41,583 - pyskl - INFO - Epoch [108][700/1281] lr: 4.624e-03, eta: 6:01:39, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0907, loss: 0.0907 2023-12-25 02:56:24,277 - pyskl - INFO - Epoch [108][800/1281] lr: 4.608e-03, eta: 6:01:00, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1010, loss: 0.1010 2023-12-25 02:57:06,919 - pyskl - INFO - Epoch [108][900/1281] lr: 4.593e-03, eta: 6:00:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0803, loss: 0.0803 2023-12-25 02:57:49,768 - pyskl - INFO - Epoch [108][1000/1281] lr: 4.577e-03, eta: 5:59:42, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0865, loss: 0.0865 2023-12-25 02:58:32,473 - pyskl - INFO - Epoch [108][1100/1281] lr: 4.561e-03, eta: 5:59:04, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0935, loss: 0.0935 2023-12-25 02:59:15,119 - pyskl - INFO - Epoch [108][1200/1281] lr: 4.545e-03, eta: 5:58:25, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1030, loss: 0.1030 2023-12-25 02:59:50,174 - pyskl - INFO - Saving checkpoint at 108 epochs 2023-12-25 03:01:03,178 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 03:01:03,233 - pyskl - INFO - top1_acc 0.9026 top5_acc 0.9928 2023-12-25 03:01:03,234 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 03:01:03,241 - pyskl - INFO - mean_acc 0.8630 2023-12-25 03:01:03,243 - pyskl - INFO - Epoch(val) [108][533] top1_acc: 0.9026, top5_acc: 0.9928, mean_class_accuracy: 0.8630 2023-12-25 03:02:02,254 - pyskl - INFO - Epoch [109][100/1281] lr: 4.517e-03, eta: 5:57:07, time: 0.590, data_time: 0.178, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0887, loss: 0.0887 2023-12-25 03:02:33,000 - pyskl - INFO - Epoch [109][200/1281] lr: 4.501e-03, eta: 5:56:24, time: 0.307, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0945, loss: 0.0945 2023-12-25 03:03:10,310 - pyskl - INFO - Epoch [109][300/1281] lr: 4.485e-03, eta: 5:55:43, time: 0.373, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0764, loss: 0.0764 2023-12-25 03:03:53,752 - pyskl - INFO - Epoch [109][400/1281] lr: 4.470e-03, eta: 5:55:05, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0803, loss: 0.0803 2023-12-25 03:04:37,133 - pyskl - INFO - Epoch [109][500/1281] lr: 4.454e-03, eta: 5:54:26, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0787, loss: 0.0787 2023-12-25 03:05:20,571 - pyskl - INFO - Epoch [109][600/1281] lr: 4.438e-03, eta: 5:53:47, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0904, loss: 0.0904 2023-12-25 03:06:04,035 - pyskl - INFO - Epoch [109][700/1281] lr: 4.423e-03, eta: 5:53:09, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0769, loss: 0.0769 2023-12-25 03:06:47,525 - pyskl - INFO - Epoch [109][800/1281] lr: 4.407e-03, eta: 5:52:30, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0898, loss: 0.0898 2023-12-25 03:07:30,861 - pyskl - INFO - Epoch [109][900/1281] lr: 4.391e-03, eta: 5:51:52, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1225, loss: 0.1225 2023-12-25 03:08:14,372 - pyskl - INFO - Epoch [109][1000/1281] lr: 4.376e-03, eta: 5:51:13, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1083, loss: 0.1083 2023-12-25 03:08:57,931 - pyskl - INFO - Epoch [109][1100/1281] lr: 4.360e-03, eta: 5:50:35, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0817, loss: 0.0817 2023-12-25 03:09:40,822 - pyskl - INFO - Epoch [109][1200/1281] lr: 4.345e-03, eta: 5:49:56, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0686, loss: 0.0686 2023-12-25 03:10:16,526 - pyskl - INFO - Saving checkpoint at 109 epochs 2023-12-25 03:11:29,937 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 03:11:29,991 - pyskl - INFO - top1_acc 0.8946 top5_acc 0.9927 2023-12-25 03:11:29,991 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 03:11:29,998 - pyskl - INFO - mean_acc 0.8627 2023-12-25 03:11:30,000 - pyskl - INFO - Epoch(val) [109][533] top1_acc: 0.8946, top5_acc: 0.9927, mean_class_accuracy: 0.8627 2023-12-25 03:12:29,877 - pyskl - INFO - Epoch [110][100/1281] lr: 4.317e-03, eta: 5:48:39, time: 0.599, data_time: 0.175, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1156, loss: 0.1156 2023-12-25 03:12:59,811 - pyskl - INFO - Epoch [110][200/1281] lr: 4.301e-03, eta: 5:47:55, time: 0.299, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0918, loss: 0.0918 2023-12-25 03:13:37,560 - pyskl - INFO - Epoch [110][300/1281] lr: 4.286e-03, eta: 5:47:15, time: 0.377, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1148, loss: 0.1148 2023-12-25 03:14:20,200 - pyskl - INFO - Epoch [110][400/1281] lr: 4.271e-03, eta: 5:46:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0836, loss: 0.0836 2023-12-25 03:15:02,690 - pyskl - INFO - Epoch [110][500/1281] lr: 4.255e-03, eta: 5:45:57, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0886, loss: 0.0886 2023-12-25 03:15:45,376 - pyskl - INFO - Epoch [110][600/1281] lr: 4.240e-03, eta: 5:45:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0906, loss: 0.0906 2023-12-25 03:16:28,135 - pyskl - INFO - Epoch [110][700/1281] lr: 4.225e-03, eta: 5:44:39, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0845, loss: 0.0845 2023-12-25 03:17:10,684 - pyskl - INFO - Epoch [110][800/1281] lr: 4.209e-03, eta: 5:44:00, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0885, loss: 0.0885 2023-12-25 03:17:53,333 - pyskl - INFO - Epoch [110][900/1281] lr: 4.194e-03, eta: 5:43:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1181, loss: 0.1181 2023-12-25 03:18:36,024 - pyskl - INFO - Epoch [110][1000/1281] lr: 4.179e-03, eta: 5:42:42, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0916, loss: 0.0916 2023-12-25 03:19:18,762 - pyskl - INFO - Epoch [110][1100/1281] lr: 4.164e-03, eta: 5:42:04, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.0943, loss: 0.0943 2023-12-25 03:20:01,503 - pyskl - INFO - Epoch [110][1200/1281] lr: 4.148e-03, eta: 5:41:25, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1087, loss: 0.1087 2023-12-25 03:20:36,551 - pyskl - INFO - Saving checkpoint at 110 epochs 2023-12-25 03:21:49,541 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 03:21:49,608 - pyskl - INFO - top1_acc 0.9079 top5_acc 0.9926 2023-12-25 03:21:49,609 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 03:21:49,616 - pyskl - INFO - mean_acc 0.8835 2023-12-25 03:21:49,621 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_105.pth was removed 2023-12-25 03:21:49,830 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. 2023-12-25 03:21:49,831 - pyskl - INFO - Best top1_acc is 0.9079 at 110 epoch. 2023-12-25 03:21:49,834 - pyskl - INFO - Epoch(val) [110][533] top1_acc: 0.9079, top5_acc: 0.9926, mean_class_accuracy: 0.8835 2023-12-25 03:22:49,992 - pyskl - INFO - Epoch [111][100/1281] lr: 4.121e-03, eta: 5:40:08, time: 0.602, data_time: 0.174, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0725, loss: 0.0725 2023-12-25 03:23:19,330 - pyskl - INFO - Epoch [111][200/1281] lr: 4.106e-03, eta: 5:39:24, time: 0.293, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0743, loss: 0.0743 2023-12-25 03:23:57,274 - pyskl - INFO - Epoch [111][300/1281] lr: 4.091e-03, eta: 5:38:44, time: 0.379, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0597, loss: 0.0597 2023-12-25 03:24:39,801 - pyskl - INFO - Epoch [111][400/1281] lr: 4.075e-03, eta: 5:38:05, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0663, loss: 0.0663 2023-12-25 03:25:22,386 - pyskl - INFO - Epoch [111][500/1281] lr: 4.060e-03, eta: 5:37:26, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0628, loss: 0.0628 2023-12-25 03:26:04,991 - pyskl - INFO - Epoch [111][600/1281] lr: 4.045e-03, eta: 5:36:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0801, loss: 0.0801 2023-12-25 03:26:47,714 - pyskl - INFO - Epoch [111][700/1281] lr: 4.030e-03, eta: 5:36:08, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0784, loss: 0.0784 2023-12-25 03:27:30,351 - pyskl - INFO - Epoch [111][800/1281] lr: 4.015e-03, eta: 5:35:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0834, loss: 0.0834 2023-12-25 03:28:13,031 - pyskl - INFO - Epoch [111][900/1281] lr: 4.000e-03, eta: 5:34:50, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0752, loss: 0.0752 2023-12-25 03:28:55,690 - pyskl - INFO - Epoch [111][1000/1281] lr: 3.985e-03, eta: 5:34:11, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0589, loss: 0.0589 2023-12-25 03:29:38,217 - pyskl - INFO - Epoch [111][1100/1281] lr: 3.970e-03, eta: 5:33:32, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0745, loss: 0.0745 2023-12-25 03:30:20,876 - pyskl - INFO - Epoch [111][1200/1281] lr: 3.955e-03, eta: 5:32:53, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0927, loss: 0.0927 2023-12-25 03:30:55,843 - pyskl - INFO - Saving checkpoint at 111 epochs 2023-12-25 03:32:09,131 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 03:32:09,202 - pyskl - INFO - top1_acc 0.9058 top5_acc 0.9918 2023-12-25 03:32:09,203 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 03:32:09,213 - pyskl - INFO - mean_acc 0.8723 2023-12-25 03:32:09,217 - pyskl - INFO - Epoch(val) [111][533] top1_acc: 0.9058, top5_acc: 0.9918, mean_class_accuracy: 0.8723 2023-12-25 03:33:09,298 - pyskl - INFO - Epoch [112][100/1281] lr: 3.928e-03, eta: 5:31:37, time: 0.601, data_time: 0.175, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0737, loss: 0.0737 2023-12-25 03:33:38,834 - pyskl - INFO - Epoch [112][200/1281] lr: 3.914e-03, eta: 5:30:53, time: 0.295, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0781, loss: 0.0781 2023-12-25 03:34:16,816 - pyskl - INFO - Epoch [112][300/1281] lr: 3.899e-03, eta: 5:30:13, time: 0.380, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0667, loss: 0.0667 2023-12-25 03:34:59,559 - pyskl - INFO - Epoch [112][400/1281] lr: 3.884e-03, eta: 5:29:34, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0553, loss: 0.0553 2023-12-25 03:35:42,199 - pyskl - INFO - Epoch [112][500/1281] lr: 3.869e-03, eta: 5:28:55, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0693, loss: 0.0693 2023-12-25 03:36:24,809 - pyskl - INFO - Epoch [112][600/1281] lr: 3.854e-03, eta: 5:28:16, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0831, loss: 0.0831 2023-12-25 03:37:07,330 - pyskl - INFO - Epoch [112][700/1281] lr: 3.840e-03, eta: 5:27:37, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0789, loss: 0.0789 2023-12-25 03:37:49,868 - pyskl - INFO - Epoch [112][800/1281] lr: 3.825e-03, eta: 5:26:58, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0657, loss: 0.0657 2023-12-25 03:38:32,470 - pyskl - INFO - Epoch [112][900/1281] lr: 3.810e-03, eta: 5:26:19, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1005, loss: 0.1005 2023-12-25 03:39:15,089 - pyskl - INFO - Epoch [112][1000/1281] lr: 3.795e-03, eta: 5:25:40, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0939, loss: 0.0939 2023-12-25 03:39:57,723 - pyskl - INFO - Epoch [112][1100/1281] lr: 3.781e-03, eta: 5:25:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0720, loss: 0.0720 2023-12-25 03:40:40,390 - pyskl - INFO - Epoch [112][1200/1281] lr: 3.766e-03, eta: 5:24:22, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0929, loss: 0.0929 2023-12-25 03:41:15,443 - pyskl - INFO - Saving checkpoint at 112 epochs 2023-12-25 03:42:28,536 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 03:42:28,605 - pyskl - INFO - top1_acc 0.9110 top5_acc 0.9945 2023-12-25 03:42:28,605 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 03:42:28,613 - pyskl - INFO - mean_acc 0.8750 2023-12-25 03:42:28,618 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_110.pth was removed 2023-12-25 03:42:28,845 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. 2023-12-25 03:42:28,845 - pyskl - INFO - Best top1_acc is 0.9110 at 112 epoch. 2023-12-25 03:42:28,848 - pyskl - INFO - Epoch(val) [112][533] top1_acc: 0.9110, top5_acc: 0.9945, mean_class_accuracy: 0.8750 2023-12-25 03:43:29,001 - pyskl - INFO - Epoch [113][100/1281] lr: 3.740e-03, eta: 5:23:05, time: 0.601, data_time: 0.172, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0640, loss: 0.0640 2023-12-25 03:43:58,529 - pyskl - INFO - Epoch [113][200/1281] lr: 3.725e-03, eta: 5:22:22, time: 0.295, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0536, loss: 0.0536 2023-12-25 03:44:37,397 - pyskl - INFO - Epoch [113][300/1281] lr: 3.711e-03, eta: 5:21:42, time: 0.389, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0613, loss: 0.0613 2023-12-25 03:45:20,047 - pyskl - INFO - Epoch [113][400/1281] lr: 3.696e-03, eta: 5:21:03, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0541, loss: 0.0541 2023-12-25 03:46:02,775 - pyskl - INFO - Epoch [113][500/1281] lr: 3.682e-03, eta: 5:20:24, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0486, loss: 0.0486 2023-12-25 03:46:45,461 - pyskl - INFO - Epoch [113][600/1281] lr: 3.667e-03, eta: 5:19:45, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0662, loss: 0.0662 2023-12-25 03:47:27,982 - pyskl - INFO - Epoch [113][700/1281] lr: 3.653e-03, eta: 5:19:06, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0685, loss: 0.0685 2023-12-25 03:48:10,502 - pyskl - INFO - Epoch [113][800/1281] lr: 3.638e-03, eta: 5:18:27, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0886, loss: 0.0886 2023-12-25 03:48:53,115 - pyskl - INFO - Epoch [113][900/1281] lr: 3.624e-03, eta: 5:17:48, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0778, loss: 0.0778 2023-12-25 03:49:35,794 - pyskl - INFO - Epoch [113][1000/1281] lr: 3.610e-03, eta: 5:17:09, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0607, loss: 0.0607 2023-12-25 03:50:18,371 - pyskl - INFO - Epoch [113][1100/1281] lr: 3.595e-03, eta: 5:16:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0715, loss: 0.0715 2023-12-25 03:51:01,084 - pyskl - INFO - Epoch [113][1200/1281] lr: 3.581e-03, eta: 5:15:51, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0837, loss: 0.0837 2023-12-25 03:51:36,080 - pyskl - INFO - Saving checkpoint at 113 epochs 2023-12-25 03:52:49,391 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 03:52:49,445 - pyskl - INFO - top1_acc 0.9000 top5_acc 0.9917 2023-12-25 03:52:49,446 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 03:52:49,452 - pyskl - INFO - mean_acc 0.8720 2023-12-25 03:52:49,453 - pyskl - INFO - Epoch(val) [113][533] top1_acc: 0.9000, top5_acc: 0.9917, mean_class_accuracy: 0.8720 2023-12-25 03:53:51,011 - pyskl - INFO - Epoch [114][100/1281] lr: 3.555e-03, eta: 5:14:35, time: 0.616, data_time: 0.174, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0780, loss: 0.0780 2023-12-25 03:54:18,990 - pyskl - INFO - Epoch [114][200/1281] lr: 3.541e-03, eta: 5:13:51, time: 0.280, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0705, loss: 0.0705 2023-12-25 03:54:59,086 - pyskl - INFO - Epoch [114][300/1281] lr: 3.526e-03, eta: 5:13:11, time: 0.401, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0815, loss: 0.0815 2023-12-25 03:55:41,963 - pyskl - INFO - Epoch [114][400/1281] lr: 3.512e-03, eta: 5:12:33, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0571, loss: 0.0571 2023-12-25 03:56:24,554 - pyskl - INFO - Epoch [114][500/1281] lr: 3.498e-03, eta: 5:11:53, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0600, loss: 0.0600 2023-12-25 03:57:07,290 - pyskl - INFO - Epoch [114][600/1281] lr: 3.484e-03, eta: 5:11:14, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0618, loss: 0.0618 2023-12-25 03:57:49,799 - pyskl - INFO - Epoch [114][700/1281] lr: 3.470e-03, eta: 5:10:35, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0627, loss: 0.0627 2023-12-25 03:58:32,520 - pyskl - INFO - Epoch [114][800/1281] lr: 3.456e-03, eta: 5:09:56, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0617, loss: 0.0617 2023-12-25 03:59:15,197 - pyskl - INFO - Epoch [114][900/1281] lr: 3.442e-03, eta: 5:09:17, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0661, loss: 0.0661 2023-12-25 03:59:57,797 - pyskl - INFO - Epoch [114][1000/1281] lr: 3.427e-03, eta: 5:08:38, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0617, loss: 0.0617 2023-12-25 04:00:40,416 - pyskl - INFO - Epoch [114][1100/1281] lr: 3.413e-03, eta: 5:07:59, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0664, loss: 0.0664 2023-12-25 04:01:23,040 - pyskl - INFO - Epoch [114][1200/1281] lr: 3.399e-03, eta: 5:07:20, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0800, loss: 0.0800 2023-12-25 04:01:58,020 - pyskl - INFO - Saving checkpoint at 114 epochs 2023-12-25 04:03:10,745 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 04:03:10,818 - pyskl - INFO - top1_acc 0.8907 top5_acc 0.9918 2023-12-25 04:03:10,818 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 04:03:10,828 - pyskl - INFO - mean_acc 0.8570 2023-12-25 04:03:10,832 - pyskl - INFO - Epoch(val) [114][533] top1_acc: 0.8907, top5_acc: 0.9918, mean_class_accuracy: 0.8570 2023-12-25 04:04:12,446 - pyskl - INFO - Epoch [115][100/1281] lr: 3.374e-03, eta: 5:06:05, time: 0.616, data_time: 0.172, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0629, loss: 0.0629 2023-12-25 04:04:40,070 - pyskl - INFO - Epoch [115][200/1281] lr: 3.360e-03, eta: 5:05:21, time: 0.276, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0512, loss: 0.0512 2023-12-25 04:05:19,396 - pyskl - INFO - Epoch [115][300/1281] lr: 3.346e-03, eta: 5:04:41, time: 0.393, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0636, loss: 0.0636 2023-12-25 04:06:02,005 - pyskl - INFO - Epoch [115][400/1281] lr: 3.332e-03, eta: 5:04:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0653, loss: 0.0653 2023-12-25 04:06:44,576 - pyskl - INFO - Epoch [115][500/1281] lr: 3.318e-03, eta: 5:03:23, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0497, loss: 0.0497 2023-12-25 04:07:27,312 - pyskl - INFO - Epoch [115][600/1281] lr: 3.305e-03, eta: 5:02:44, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0658, loss: 0.0658 2023-12-25 04:08:10,002 - pyskl - INFO - Epoch [115][700/1281] lr: 3.291e-03, eta: 5:02:05, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0646, loss: 0.0646 2023-12-25 04:08:52,654 - pyskl - INFO - Epoch [115][800/1281] lr: 3.277e-03, eta: 5:01:25, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0606, loss: 0.0606 2023-12-25 04:09:35,323 - pyskl - INFO - Epoch [115][900/1281] lr: 3.263e-03, eta: 5:00:46, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0620, loss: 0.0620 2023-12-25 04:10:17,886 - pyskl - INFO - Epoch [115][1000/1281] lr: 3.249e-03, eta: 5:00:07, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0638, loss: 0.0638 2023-12-25 04:11:00,527 - pyskl - INFO - Epoch [115][1100/1281] lr: 3.236e-03, eta: 4:59:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0580, loss: 0.0580 2023-12-25 04:11:43,110 - pyskl - INFO - Epoch [115][1200/1281] lr: 3.222e-03, eta: 4:58:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0533, loss: 0.0533 2023-12-25 04:12:18,002 - pyskl - INFO - Saving checkpoint at 115 epochs 2023-12-25 04:13:30,967 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 04:13:31,038 - pyskl - INFO - top1_acc 0.9135 top5_acc 0.9945 2023-12-25 04:13:31,039 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 04:13:31,048 - pyskl - INFO - mean_acc 0.8813 2023-12-25 04:13:31,053 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_112.pth was removed 2023-12-25 04:13:31,284 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. 2023-12-25 04:13:31,285 - pyskl - INFO - Best top1_acc is 0.9135 at 115 epoch. 2023-12-25 04:13:31,288 - pyskl - INFO - Epoch(val) [115][533] top1_acc: 0.9135, top5_acc: 0.9945, mean_class_accuracy: 0.8813 2023-12-25 04:14:33,366 - pyskl - INFO - Epoch [116][100/1281] lr: 3.197e-03, eta: 4:57:34, time: 0.621, data_time: 0.175, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0420, loss: 0.0420 2023-12-25 04:15:00,972 - pyskl - INFO - Epoch [116][200/1281] lr: 3.184e-03, eta: 4:56:50, time: 0.276, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 2023-12-25 04:15:41,053 - pyskl - INFO - Epoch [116][300/1281] lr: 3.170e-03, eta: 4:56:10, time: 0.401, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 2023-12-25 04:16:23,734 - pyskl - INFO - Epoch [116][400/1281] lr: 3.156e-03, eta: 4:55:31, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 2023-12-25 04:17:06,374 - pyskl - INFO - Epoch [116][500/1281] lr: 3.143e-03, eta: 4:54:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0538, loss: 0.0538 2023-12-25 04:17:48,982 - pyskl - INFO - Epoch [116][600/1281] lr: 3.129e-03, eta: 4:54:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0508, loss: 0.0508 2023-12-25 04:18:31,659 - pyskl - INFO - Epoch [116][700/1281] lr: 3.116e-03, eta: 4:53:34, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0534, loss: 0.0534 2023-12-25 04:19:14,302 - pyskl - INFO - Epoch [116][800/1281] lr: 3.102e-03, eta: 4:52:55, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0542, loss: 0.0542 2023-12-25 04:19:56,866 - pyskl - INFO - Epoch [116][900/1281] lr: 3.089e-03, eta: 4:52:16, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0488, loss: 0.0488 2023-12-25 04:20:39,401 - pyskl - INFO - Epoch [116][1000/1281] lr: 3.075e-03, eta: 4:51:37, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0495, loss: 0.0495 2023-12-25 04:21:21,986 - pyskl - INFO - Epoch [116][1100/1281] lr: 3.062e-03, eta: 4:50:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0473, loss: 0.0473 2023-12-25 04:22:04,445 - pyskl - INFO - Epoch [116][1200/1281] lr: 3.049e-03, eta: 4:50:18, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0473, loss: 0.0473 2023-12-25 04:22:39,519 - pyskl - INFO - Saving checkpoint at 116 epochs 2023-12-25 04:23:52,468 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 04:23:52,523 - pyskl - INFO - top1_acc 0.9154 top5_acc 0.9944 2023-12-25 04:23:52,523 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 04:23:52,529 - pyskl - INFO - mean_acc 0.8861 2023-12-25 04:23:52,533 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_115.pth was removed 2023-12-25 04:23:52,748 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. 2023-12-25 04:23:52,749 - pyskl - INFO - Best top1_acc is 0.9154 at 116 epoch. 2023-12-25 04:23:52,752 - pyskl - INFO - Epoch(val) [116][533] top1_acc: 0.9154, top5_acc: 0.9944, mean_class_accuracy: 0.8861 2023-12-25 04:24:55,189 - pyskl - INFO - Epoch [117][100/1281] lr: 3.024e-03, eta: 4:49:03, time: 0.624, data_time: 0.175, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0432, loss: 0.0432 2023-12-25 04:25:21,744 - pyskl - INFO - Epoch [117][200/1281] lr: 3.011e-03, eta: 4:48:19, time: 0.266, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-25 04:26:03,138 - pyskl - INFO - Epoch [117][300/1281] lr: 2.998e-03, eta: 4:47:40, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0375, loss: 0.0375 2023-12-25 04:26:46,474 - pyskl - INFO - Epoch [117][400/1281] lr: 2.984e-03, eta: 4:47:01, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0475, loss: 0.0475 2023-12-25 04:27:29,898 - pyskl - INFO - Epoch [117][500/1281] lr: 2.971e-03, eta: 4:46:22, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0550, loss: 0.0550 2023-12-25 04:28:13,322 - pyskl - INFO - Epoch [117][600/1281] lr: 2.958e-03, eta: 4:45:43, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0587, loss: 0.0587 2023-12-25 04:28:56,832 - pyskl - INFO - Epoch [117][700/1281] lr: 2.945e-03, eta: 4:45:04, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0535, loss: 0.0535 2023-12-25 04:29:40,313 - pyskl - INFO - Epoch [117][800/1281] lr: 2.932e-03, eta: 4:44:25, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0521, loss: 0.0521 2023-12-25 04:30:23,703 - pyskl - INFO - Epoch [117][900/1281] lr: 2.919e-03, eta: 4:43:47, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0651, loss: 0.0651 2023-12-25 04:31:07,082 - pyskl - INFO - Epoch [117][1000/1281] lr: 2.905e-03, eta: 4:43:08, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0512, loss: 0.0512 2023-12-25 04:31:50,492 - pyskl - INFO - Epoch [117][1100/1281] lr: 2.892e-03, eta: 4:42:29, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0554, loss: 0.0554 2023-12-25 04:32:33,886 - pyskl - INFO - Epoch [117][1200/1281] lr: 2.879e-03, eta: 4:41:50, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0878, loss: 0.0878 2023-12-25 04:33:09,510 - pyskl - INFO - Saving checkpoint at 117 epochs 2023-12-25 04:34:22,443 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 04:34:22,505 - pyskl - INFO - top1_acc 0.9096 top5_acc 0.9932 2023-12-25 04:34:22,505 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 04:34:22,515 - pyskl - INFO - mean_acc 0.8809 2023-12-25 04:34:22,518 - pyskl - INFO - Epoch(val) [117][533] top1_acc: 0.9096, top5_acc: 0.9932, mean_class_accuracy: 0.8809 2023-12-25 04:35:24,874 - pyskl - INFO - Epoch [118][100/1281] lr: 2.856e-03, eta: 4:40:35, time: 0.623, data_time: 0.175, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0485, loss: 0.0485 2023-12-25 04:35:51,111 - pyskl - INFO - Epoch [118][200/1281] lr: 2.843e-03, eta: 4:39:51, time: 0.262, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0598, loss: 0.0598 2023-12-25 04:36:31,947 - pyskl - INFO - Epoch [118][300/1281] lr: 2.830e-03, eta: 4:39:11, time: 0.408, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0537, loss: 0.0537 2023-12-25 04:37:14,636 - pyskl - INFO - Epoch [118][400/1281] lr: 2.817e-03, eta: 4:38:32, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0460, loss: 0.0460 2023-12-25 04:37:57,388 - pyskl - INFO - Epoch [118][500/1281] lr: 2.804e-03, eta: 4:37:53, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0526, loss: 0.0526 2023-12-25 04:38:40,000 - pyskl - INFO - Epoch [118][600/1281] lr: 2.791e-03, eta: 4:37:14, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0662, loss: 0.0662 2023-12-25 04:39:22,645 - pyskl - INFO - Epoch [118][700/1281] lr: 2.778e-03, eta: 4:36:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0580, loss: 0.0580 2023-12-25 04:40:05,360 - pyskl - INFO - Epoch [118][800/1281] lr: 2.765e-03, eta: 4:35:56, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0472, loss: 0.0472 2023-12-25 04:40:47,983 - pyskl - INFO - Epoch [118][900/1281] lr: 2.753e-03, eta: 4:35:16, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0574, loss: 0.0574 2023-12-25 04:41:30,463 - pyskl - INFO - Epoch [118][1000/1281] lr: 2.740e-03, eta: 4:34:37, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 2023-12-25 04:42:13,137 - pyskl - INFO - Epoch [118][1100/1281] lr: 2.727e-03, eta: 4:33:58, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0713, loss: 0.0713 2023-12-25 04:42:55,796 - pyskl - INFO - Epoch [118][1200/1281] lr: 2.714e-03, eta: 4:33:19, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0671, loss: 0.0671 2023-12-25 04:43:30,892 - pyskl - INFO - Saving checkpoint at 118 epochs 2023-12-25 04:44:43,836 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 04:44:43,896 - pyskl - INFO - top1_acc 0.9127 top5_acc 0.9932 2023-12-25 04:44:43,896 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 04:44:43,903 - pyskl - INFO - mean_acc 0.8823 2023-12-25 04:44:43,905 - pyskl - INFO - Epoch(val) [118][533] top1_acc: 0.9127, top5_acc: 0.9932, mean_class_accuracy: 0.8823 2023-12-25 04:45:46,132 - pyskl - INFO - Epoch [119][100/1281] lr: 2.691e-03, eta: 4:32:04, time: 0.622, data_time: 0.171, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0631, loss: 0.0631 2023-12-25 04:46:12,839 - pyskl - INFO - Epoch [119][200/1281] lr: 2.679e-03, eta: 4:31:20, time: 0.267, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 2023-12-25 04:46:52,870 - pyskl - INFO - Epoch [119][300/1281] lr: 2.666e-03, eta: 4:30:40, time: 0.400, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 2023-12-25 04:47:35,499 - pyskl - INFO - Epoch [119][400/1281] lr: 2.653e-03, eta: 4:30:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0417, loss: 0.0417 2023-12-25 04:48:18,079 - pyskl - INFO - Epoch [119][500/1281] lr: 2.641e-03, eta: 4:29:22, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 2023-12-25 04:49:00,670 - pyskl - INFO - Epoch [119][600/1281] lr: 2.628e-03, eta: 4:28:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0536, loss: 0.0536 2023-12-25 04:49:43,399 - pyskl - INFO - Epoch [119][700/1281] lr: 2.616e-03, eta: 4:28:04, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0543, loss: 0.0543 2023-12-25 04:50:26,819 - pyskl - INFO - Epoch [119][800/1281] lr: 2.603e-03, eta: 4:27:25, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0673, loss: 0.0673 2023-12-25 04:51:10,180 - pyskl - INFO - Epoch [119][900/1281] lr: 2.591e-03, eta: 4:26:46, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0450, loss: 0.0450 2023-12-25 04:51:53,650 - pyskl - INFO - Epoch [119][1000/1281] lr: 2.578e-03, eta: 4:26:07, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0541, loss: 0.0541 2023-12-25 04:52:37,067 - pyskl - INFO - Epoch [119][1100/1281] lr: 2.566e-03, eta: 4:25:28, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0691, loss: 0.0691 2023-12-25 04:53:20,519 - pyskl - INFO - Epoch [119][1200/1281] lr: 2.554e-03, eta: 4:24:49, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0532, loss: 0.0532 2023-12-25 04:53:56,134 - pyskl - INFO - Saving checkpoint at 119 epochs 2023-12-25 04:55:09,502 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 04:55:09,562 - pyskl - INFO - top1_acc 0.9170 top5_acc 0.9947 2023-12-25 04:55:09,562 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 04:55:09,570 - pyskl - INFO - mean_acc 0.8883 2023-12-25 04:55:09,575 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_116.pth was removed 2023-12-25 04:55:09,780 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. 2023-12-25 04:55:09,780 - pyskl - INFO - Best top1_acc is 0.9170 at 119 epoch. 2023-12-25 04:55:09,783 - pyskl - INFO - Epoch(val) [119][533] top1_acc: 0.9170, top5_acc: 0.9947, mean_class_accuracy: 0.8883 2023-12-25 04:56:11,644 - pyskl - INFO - Epoch [120][100/1281] lr: 2.531e-03, eta: 4:23:34, time: 0.619, data_time: 0.170, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0588, loss: 0.0588 2023-12-25 04:56:38,569 - pyskl - INFO - Epoch [120][200/1281] lr: 2.519e-03, eta: 4:22:50, time: 0.269, data_time: 0.001, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0478, loss: 0.0478 2023-12-25 04:57:19,050 - pyskl - INFO - Epoch [120][300/1281] lr: 2.507e-03, eta: 4:22:11, time: 0.405, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0451, loss: 0.0451 2023-12-25 04:58:01,698 - pyskl - INFO - Epoch [120][400/1281] lr: 2.494e-03, eta: 4:21:31, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0428, loss: 0.0428 2023-12-25 04:58:44,214 - pyskl - INFO - Epoch [120][500/1281] lr: 2.482e-03, eta: 4:20:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0465, loss: 0.0465 2023-12-25 04:59:26,930 - pyskl - INFO - Epoch [120][600/1281] lr: 2.470e-03, eta: 4:20:13, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0439, loss: 0.0439 2023-12-25 05:00:09,559 - pyskl - INFO - Epoch [120][700/1281] lr: 2.458e-03, eta: 4:19:34, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0487, loss: 0.0487 2023-12-25 05:00:52,129 - pyskl - INFO - Epoch [120][800/1281] lr: 2.446e-03, eta: 4:18:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 2023-12-25 05:01:34,810 - pyskl - INFO - Epoch [120][900/1281] lr: 2.433e-03, eta: 4:18:15, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0431, loss: 0.0431 2023-12-25 05:02:17,528 - pyskl - INFO - Epoch [120][1000/1281] lr: 2.421e-03, eta: 4:17:36, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0490, loss: 0.0490 2023-12-25 05:03:00,208 - pyskl - INFO - Epoch [120][1100/1281] lr: 2.409e-03, eta: 4:16:57, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0410, loss: 0.0410 2023-12-25 05:03:42,905 - pyskl - INFO - Epoch [120][1200/1281] lr: 2.397e-03, eta: 4:16:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0392, loss: 0.0392 2023-12-25 05:04:18,014 - pyskl - INFO - Saving checkpoint at 120 epochs 2023-12-25 05:05:31,586 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 05:05:31,657 - pyskl - INFO - top1_acc 0.9173 top5_acc 0.9933 2023-12-25 05:05:31,657 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 05:05:31,666 - pyskl - INFO - mean_acc 0.8933 2023-12-25 05:05:31,671 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_119.pth was removed 2023-12-25 05:05:31,886 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. 2023-12-25 05:05:31,886 - pyskl - INFO - Best top1_acc is 0.9173 at 120 epoch. 2023-12-25 05:05:31,889 - pyskl - INFO - Epoch(val) [120][533] top1_acc: 0.9173, top5_acc: 0.9933, mean_class_accuracy: 0.8933 2023-12-25 05:06:34,194 - pyskl - INFO - Epoch [121][100/1281] lr: 2.375e-03, eta: 4:15:03, time: 0.623, data_time: 0.175, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 2023-12-25 05:06:59,929 - pyskl - INFO - Epoch [121][200/1281] lr: 2.363e-03, eta: 4:14:19, time: 0.257, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 2023-12-25 05:07:41,115 - pyskl - INFO - Epoch [121][300/1281] lr: 2.351e-03, eta: 4:13:40, time: 0.412, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-25 05:08:23,738 - pyskl - INFO - Epoch [121][400/1281] lr: 2.340e-03, eta: 4:13:00, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-25 05:09:06,255 - pyskl - INFO - Epoch [121][500/1281] lr: 2.328e-03, eta: 4:12:21, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0432, loss: 0.0432 2023-12-25 05:09:48,762 - pyskl - INFO - Epoch [121][600/1281] lr: 2.316e-03, eta: 4:11:42, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 2023-12-25 05:10:31,375 - pyskl - INFO - Epoch [121][700/1281] lr: 2.304e-03, eta: 4:11:03, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0419, loss: 0.0419 2023-12-25 05:11:14,045 - pyskl - INFO - Epoch [121][800/1281] lr: 2.292e-03, eta: 4:10:23, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0421, loss: 0.0421 2023-12-25 05:11:56,668 - pyskl - INFO - Epoch [121][900/1281] lr: 2.280e-03, eta: 4:09:44, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 2023-12-25 05:12:39,413 - pyskl - INFO - Epoch [121][1000/1281] lr: 2.269e-03, eta: 4:09:05, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0367, loss: 0.0367 2023-12-25 05:13:22,793 - pyskl - INFO - Epoch [121][1100/1281] lr: 2.257e-03, eta: 4:08:26, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 2023-12-25 05:14:06,123 - pyskl - INFO - Epoch [121][1200/1281] lr: 2.245e-03, eta: 4:07:47, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 2023-12-25 05:14:41,826 - pyskl - INFO - Saving checkpoint at 121 epochs 2023-12-25 05:15:54,971 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 05:15:55,025 - pyskl - INFO - top1_acc 0.9133 top5_acc 0.9930 2023-12-25 05:15:55,025 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 05:15:55,032 - pyskl - INFO - mean_acc 0.8840 2023-12-25 05:15:55,033 - pyskl - INFO - Epoch(val) [121][533] top1_acc: 0.9133, top5_acc: 0.9930, mean_class_accuracy: 0.8840 2023-12-25 05:16:57,155 - pyskl - INFO - Epoch [122][100/1281] lr: 2.224e-03, eta: 4:06:32, time: 0.621, data_time: 0.172, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0372, loss: 0.0372 2023-12-25 05:17:23,460 - pyskl - INFO - Epoch [122][200/1281] lr: 2.212e-03, eta: 4:05:49, time: 0.263, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0306, loss: 0.0306 2023-12-25 05:18:05,038 - pyskl - INFO - Epoch [122][300/1281] lr: 2.201e-03, eta: 4:05:09, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 2023-12-25 05:18:47,681 - pyskl - INFO - Epoch [122][400/1281] lr: 2.189e-03, eta: 4:04:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 2023-12-25 05:19:30,629 - pyskl - INFO - Epoch [122][500/1281] lr: 2.178e-03, eta: 4:03:51, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 2023-12-25 05:20:14,042 - pyskl - INFO - Epoch [122][600/1281] lr: 2.166e-03, eta: 4:03:12, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 2023-12-25 05:20:57,550 - pyskl - INFO - Epoch [122][700/1281] lr: 2.155e-03, eta: 4:02:33, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 2023-12-25 05:21:40,926 - pyskl - INFO - Epoch [122][800/1281] lr: 2.143e-03, eta: 4:01:53, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 2023-12-25 05:22:24,108 - pyskl - INFO - Epoch [122][900/1281] lr: 2.132e-03, eta: 4:01:14, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 2023-12-25 05:23:06,808 - pyskl - INFO - Epoch [122][1000/1281] lr: 2.120e-03, eta: 4:00:35, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 2023-12-25 05:23:49,354 - pyskl - INFO - Epoch [122][1100/1281] lr: 2.109e-03, eta: 3:59:56, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0372, loss: 0.0372 2023-12-25 05:24:31,945 - pyskl - INFO - Epoch [122][1200/1281] lr: 2.098e-03, eta: 3:59:16, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 2023-12-25 05:25:07,186 - pyskl - INFO - Saving checkpoint at 122 epochs 2023-12-25 05:26:20,032 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 05:26:20,085 - pyskl - INFO - top1_acc 0.9236 top5_acc 0.9941 2023-12-25 05:26:20,086 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 05:26:20,092 - pyskl - INFO - mean_acc 0.8958 2023-12-25 05:26:20,096 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_120.pth was removed 2023-12-25 05:26:20,295 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. 2023-12-25 05:26:20,295 - pyskl - INFO - Best top1_acc is 0.9236 at 122 epoch. 2023-12-25 05:26:20,298 - pyskl - INFO - Epoch(val) [122][533] top1_acc: 0.9236, top5_acc: 0.9941, mean_class_accuracy: 0.8958 2023-12-25 05:27:22,661 - pyskl - INFO - Epoch [123][100/1281] lr: 2.077e-03, eta: 3:58:02, time: 0.624, data_time: 0.175, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 2023-12-25 05:27:47,270 - pyskl - INFO - Epoch [123][200/1281] lr: 2.066e-03, eta: 3:57:18, time: 0.246, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 2023-12-25 05:28:29,754 - pyskl - INFO - Epoch [123][300/1281] lr: 2.055e-03, eta: 3:56:39, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 2023-12-25 05:29:12,424 - pyskl - INFO - Epoch [123][400/1281] lr: 2.044e-03, eta: 3:56:00, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 2023-12-25 05:29:55,026 - pyskl - INFO - Epoch [123][500/1281] lr: 2.032e-03, eta: 3:55:20, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0366, loss: 0.0366 2023-12-25 05:30:37,636 - pyskl - INFO - Epoch [123][600/1281] lr: 2.021e-03, eta: 3:54:41, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 2023-12-25 05:31:20,234 - pyskl - INFO - Epoch [123][700/1281] lr: 2.010e-03, eta: 3:54:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 2023-12-25 05:32:02,823 - pyskl - INFO - Epoch [123][800/1281] lr: 1.999e-03, eta: 3:53:22, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 2023-12-25 05:32:45,421 - pyskl - INFO - Epoch [123][900/1281] lr: 1.988e-03, eta: 3:52:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 2023-12-25 05:33:28,096 - pyskl - INFO - Epoch [123][1000/1281] lr: 1.977e-03, eta: 3:52:04, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0318, loss: 0.0318 2023-12-25 05:34:10,651 - pyskl - INFO - Epoch [123][1100/1281] lr: 1.966e-03, eta: 3:51:24, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 2023-12-25 05:34:53,261 - pyskl - INFO - Epoch [123][1200/1281] lr: 1.955e-03, eta: 3:50:45, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 2023-12-25 05:35:28,329 - pyskl - INFO - Saving checkpoint at 123 epochs 2023-12-25 05:36:40,764 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 05:36:40,828 - pyskl - INFO - top1_acc 0.9215 top5_acc 0.9939 2023-12-25 05:36:40,828 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 05:36:40,837 - pyskl - INFO - mean_acc 0.8952 2023-12-25 05:36:40,840 - pyskl - INFO - Epoch(val) [123][533] top1_acc: 0.9215, top5_acc: 0.9939, mean_class_accuracy: 0.8952 2023-12-25 05:37:42,540 - pyskl - INFO - Epoch [124][100/1281] lr: 1.935e-03, eta: 3:49:30, time: 0.617, data_time: 0.168, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 2023-12-25 05:38:08,770 - pyskl - INFO - Epoch [124][200/1281] lr: 1.924e-03, eta: 3:48:48, time: 0.262, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 2023-12-25 05:38:49,087 - pyskl - INFO - Epoch [124][300/1281] lr: 1.913e-03, eta: 3:48:08, time: 0.403, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 2023-12-25 05:39:31,723 - pyskl - INFO - Epoch [124][400/1281] lr: 1.902e-03, eta: 3:47:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 2023-12-25 05:40:14,263 - pyskl - INFO - Epoch [124][500/1281] lr: 1.892e-03, eta: 3:46:49, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 2023-12-25 05:40:56,842 - pyskl - INFO - Epoch [124][600/1281] lr: 1.881e-03, eta: 3:46:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 2023-12-25 05:41:39,558 - pyskl - INFO - Epoch [124][700/1281] lr: 1.870e-03, eta: 3:45:30, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 2023-12-25 05:42:22,057 - pyskl - INFO - Epoch [124][800/1281] lr: 1.859e-03, eta: 3:44:51, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0411, loss: 0.0411 2023-12-25 05:43:04,787 - pyskl - INFO - Epoch [124][900/1281] lr: 1.849e-03, eta: 3:44:12, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0364, loss: 0.0364 2023-12-25 05:43:47,431 - pyskl - INFO - Epoch [124][1000/1281] lr: 1.838e-03, eta: 3:43:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 2023-12-25 05:44:30,142 - pyskl - INFO - Epoch [124][1100/1281] lr: 1.827e-03, eta: 3:42:53, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 2023-12-25 05:45:12,733 - pyskl - INFO - Epoch [124][1200/1281] lr: 1.817e-03, eta: 3:42:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-25 05:45:47,792 - pyskl - INFO - Saving checkpoint at 124 epochs 2023-12-25 05:47:01,402 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 05:47:01,459 - pyskl - INFO - top1_acc 0.9202 top5_acc 0.9944 2023-12-25 05:47:01,459 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 05:47:01,468 - pyskl - INFO - mean_acc 0.8927 2023-12-25 05:47:01,471 - pyskl - INFO - Epoch(val) [124][533] top1_acc: 0.9202, top5_acc: 0.9944, mean_class_accuracy: 0.8927 2023-12-25 05:48:03,625 - pyskl - INFO - Epoch [125][100/1281] lr: 1.797e-03, eta: 3:40:59, time: 0.621, data_time: 0.173, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 2023-12-25 05:48:29,987 - pyskl - INFO - Epoch [125][200/1281] lr: 1.787e-03, eta: 3:40:16, time: 0.264, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 2023-12-25 05:49:11,315 - pyskl - INFO - Epoch [125][300/1281] lr: 1.776e-03, eta: 3:39:37, time: 0.413, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 2023-12-25 05:49:54,758 - pyskl - INFO - Epoch [125][400/1281] lr: 1.766e-03, eta: 3:38:58, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 2023-12-25 05:50:38,212 - pyskl - INFO - Epoch [125][500/1281] lr: 1.755e-03, eta: 3:38:18, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 2023-12-25 05:51:21,570 - pyskl - INFO - Epoch [125][600/1281] lr: 1.745e-03, eta: 3:37:39, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 2023-12-25 05:52:05,024 - pyskl - INFO - Epoch [125][700/1281] lr: 1.735e-03, eta: 3:37:00, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0367, loss: 0.0367 2023-12-25 05:52:48,414 - pyskl - INFO - Epoch [125][800/1281] lr: 1.724e-03, eta: 3:36:21, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 2023-12-25 05:53:31,790 - pyskl - INFO - Epoch [125][900/1281] lr: 1.714e-03, eta: 3:35:41, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 2023-12-25 05:54:15,134 - pyskl - INFO - Epoch [125][1000/1281] lr: 1.704e-03, eta: 3:35:02, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 2023-12-25 05:54:58,500 - pyskl - INFO - Epoch [125][1100/1281] lr: 1.693e-03, eta: 3:34:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 2023-12-25 05:55:41,862 - pyskl - INFO - Epoch [125][1200/1281] lr: 1.683e-03, eta: 3:33:44, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 2023-12-25 05:56:17,443 - pyskl - INFO - Saving checkpoint at 125 epochs 2023-12-25 05:57:30,403 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 05:57:30,459 - pyskl - INFO - top1_acc 0.9218 top5_acc 0.9941 2023-12-25 05:57:30,459 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 05:57:30,466 - pyskl - INFO - mean_acc 0.8921 2023-12-25 05:57:30,468 - pyskl - INFO - Epoch(val) [125][533] top1_acc: 0.9218, top5_acc: 0.9941, mean_class_accuracy: 0.8921 2023-12-25 05:58:32,614 - pyskl - INFO - Epoch [126][100/1281] lr: 1.665e-03, eta: 3:32:29, time: 0.621, data_time: 0.172, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0368, loss: 0.0368 2023-12-25 05:58:59,665 - pyskl - INFO - Epoch [126][200/1281] lr: 1.654e-03, eta: 3:31:47, time: 0.271, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 2023-12-25 05:59:39,562 - pyskl - INFO - Epoch [126][300/1281] lr: 1.644e-03, eta: 3:31:07, time: 0.399, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 2023-12-25 06:00:22,140 - pyskl - INFO - Epoch [126][400/1281] lr: 1.634e-03, eta: 3:30:27, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 2023-12-25 06:01:04,699 - pyskl - INFO - Epoch [126][500/1281] lr: 1.624e-03, eta: 3:29:48, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 2023-12-25 06:01:47,296 - pyskl - INFO - Epoch [126][600/1281] lr: 1.614e-03, eta: 3:29:09, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 2023-12-25 06:02:29,916 - pyskl - INFO - Epoch [126][700/1281] lr: 1.604e-03, eta: 3:28:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 2023-12-25 06:03:12,523 - pyskl - INFO - Epoch [126][800/1281] lr: 1.594e-03, eta: 3:27:50, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 2023-12-25 06:03:55,204 - pyskl - INFO - Epoch [126][900/1281] lr: 1.584e-03, eta: 3:27:10, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 2023-12-25 06:04:38,564 - pyskl - INFO - Epoch [126][1000/1281] lr: 1.574e-03, eta: 3:26:31, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0359, loss: 0.0359 2023-12-25 06:05:21,979 - pyskl - INFO - Epoch [126][1100/1281] lr: 1.564e-03, eta: 3:25:52, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0402, loss: 0.0402 2023-12-25 06:06:05,346 - pyskl - INFO - Epoch [126][1200/1281] lr: 1.554e-03, eta: 3:25:13, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0365, loss: 0.0365 2023-12-25 06:06:40,913 - pyskl - INFO - Saving checkpoint at 126 epochs 2023-12-25 06:07:54,070 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 06:07:54,129 - pyskl - INFO - top1_acc 0.9208 top5_acc 0.9933 2023-12-25 06:07:54,130 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 06:07:54,138 - pyskl - INFO - mean_acc 0.8904 2023-12-25 06:07:54,140 - pyskl - INFO - Epoch(val) [126][533] top1_acc: 0.9208, top5_acc: 0.9933, mean_class_accuracy: 0.8904 2023-12-25 06:08:56,703 - pyskl - INFO - Epoch [127][100/1281] lr: 1.536e-03, eta: 3:23:58, time: 0.626, data_time: 0.178, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 2023-12-25 06:09:23,481 - pyskl - INFO - Epoch [127][200/1281] lr: 1.527e-03, eta: 3:23:16, time: 0.268, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 2023-12-25 06:10:04,428 - pyskl - INFO - Epoch [127][300/1281] lr: 1.517e-03, eta: 3:22:36, time: 0.409, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 2023-12-25 06:10:47,010 - pyskl - INFO - Epoch [127][400/1281] lr: 1.507e-03, eta: 3:21:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-25 06:11:29,704 - pyskl - INFO - Epoch [127][500/1281] lr: 1.497e-03, eta: 3:21:17, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 2023-12-25 06:12:12,307 - pyskl - INFO - Epoch [127][600/1281] lr: 1.488e-03, eta: 3:20:38, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 2023-12-25 06:12:55,000 - pyskl - INFO - Epoch [127][700/1281] lr: 1.478e-03, eta: 3:19:59, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0345, loss: 0.0345 2023-12-25 06:13:37,558 - pyskl - INFO - Epoch [127][800/1281] lr: 1.468e-03, eta: 3:19:19, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 2023-12-25 06:14:20,234 - pyskl - INFO - Epoch [127][900/1281] lr: 1.459e-03, eta: 3:18:40, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 2023-12-25 06:15:02,779 - pyskl - INFO - Epoch [127][1000/1281] lr: 1.449e-03, eta: 3:18:00, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 2023-12-25 06:15:45,418 - pyskl - INFO - Epoch [127][1100/1281] lr: 1.440e-03, eta: 3:17:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 2023-12-25 06:16:28,044 - pyskl - INFO - Epoch [127][1200/1281] lr: 1.430e-03, eta: 3:16:41, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 2023-12-25 06:17:03,069 - pyskl - INFO - Saving checkpoint at 127 epochs 2023-12-25 06:18:15,944 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 06:18:16,018 - pyskl - INFO - top1_acc 0.9257 top5_acc 0.9947 2023-12-25 06:18:16,018 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 06:18:16,028 - pyskl - INFO - mean_acc 0.9040 2023-12-25 06:18:16,032 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_122.pth was removed 2023-12-25 06:18:16,220 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. 2023-12-25 06:18:16,220 - pyskl - INFO - Best top1_acc is 0.9257 at 127 epoch. 2023-12-25 06:18:16,223 - pyskl - INFO - Epoch(val) [127][533] top1_acc: 0.9257, top5_acc: 0.9947, mean_class_accuracy: 0.9040 2023-12-25 06:19:18,545 - pyskl - INFO - Epoch [128][100/1281] lr: 1.413e-03, eta: 3:15:27, time: 0.623, data_time: 0.175, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 2023-12-25 06:19:44,739 - pyskl - INFO - Epoch [128][200/1281] lr: 1.404e-03, eta: 3:14:45, time: 0.262, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0285, loss: 0.0285 2023-12-25 06:20:25,673 - pyskl - INFO - Epoch [128][300/1281] lr: 1.394e-03, eta: 3:14:05, time: 0.409, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 2023-12-25 06:21:08,241 - pyskl - INFO - Epoch [128][400/1281] lr: 1.385e-03, eta: 3:13:26, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 2023-12-25 06:21:50,805 - pyskl - INFO - Epoch [128][500/1281] lr: 1.376e-03, eta: 3:12:46, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 2023-12-25 06:22:33,359 - pyskl - INFO - Epoch [128][600/1281] lr: 1.366e-03, eta: 3:12:07, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 2023-12-25 06:23:15,922 - pyskl - INFO - Epoch [128][700/1281] lr: 1.357e-03, eta: 3:11:27, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 2023-12-25 06:23:58,687 - pyskl - INFO - Epoch [128][800/1281] lr: 1.348e-03, eta: 3:10:48, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 2023-12-25 06:24:41,197 - pyskl - INFO - Epoch [128][900/1281] lr: 1.339e-03, eta: 3:10:08, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 2023-12-25 06:25:23,809 - pyskl - INFO - Epoch [128][1000/1281] lr: 1.329e-03, eta: 3:09:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 2023-12-25 06:26:06,665 - pyskl - INFO - Epoch [128][1100/1281] lr: 1.320e-03, eta: 3:08:49, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 2023-12-25 06:26:49,446 - pyskl - INFO - Epoch [128][1200/1281] lr: 1.311e-03, eta: 3:08:10, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 2023-12-25 06:27:24,686 - pyskl - INFO - Saving checkpoint at 128 epochs 2023-12-25 06:28:38,001 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 06:28:38,054 - pyskl - INFO - top1_acc 0.9269 top5_acc 0.9947 2023-12-25 06:28:38,054 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 06:28:38,060 - pyskl - INFO - mean_acc 0.9010 2023-12-25 06:28:38,064 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_127.pth was removed 2023-12-25 06:28:38,236 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. 2023-12-25 06:28:38,236 - pyskl - INFO - Best top1_acc is 0.9269 at 128 epoch. 2023-12-25 06:28:38,239 - pyskl - INFO - Epoch(val) [128][533] top1_acc: 0.9269, top5_acc: 0.9947, mean_class_accuracy: 0.9010 2023-12-25 06:29:41,113 - pyskl - INFO - Epoch [129][100/1281] lr: 1.295e-03, eta: 3:06:56, time: 0.629, data_time: 0.179, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 2023-12-25 06:30:06,190 - pyskl - INFO - Epoch [129][200/1281] lr: 1.286e-03, eta: 3:06:13, time: 0.251, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 2023-12-25 06:30:47,762 - pyskl - INFO - Epoch [129][300/1281] lr: 1.277e-03, eta: 3:05:34, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 2023-12-25 06:31:30,408 - pyskl - INFO - Epoch [129][400/1281] lr: 1.268e-03, eta: 3:04:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 2023-12-25 06:32:13,040 - pyskl - INFO - Epoch [129][500/1281] lr: 1.259e-03, eta: 3:04:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 2023-12-25 06:32:55,714 - pyskl - INFO - Epoch [129][600/1281] lr: 1.250e-03, eta: 3:03:35, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 2023-12-25 06:33:38,475 - pyskl - INFO - Epoch [129][700/1281] lr: 1.241e-03, eta: 3:02:56, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 2023-12-25 06:34:21,205 - pyskl - INFO - Epoch [129][800/1281] lr: 1.232e-03, eta: 3:02:16, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 2023-12-25 06:35:03,859 - pyskl - INFO - Epoch [129][900/1281] lr: 1.223e-03, eta: 3:01:37, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 2023-12-25 06:35:46,586 - pyskl - INFO - Epoch [129][1000/1281] lr: 1.214e-03, eta: 3:00:57, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 2023-12-25 06:36:29,174 - pyskl - INFO - Epoch [129][1100/1281] lr: 1.206e-03, eta: 3:00:18, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 2023-12-25 06:37:11,789 - pyskl - INFO - Epoch [129][1200/1281] lr: 1.197e-03, eta: 2:59:38, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0283, loss: 0.0283 2023-12-25 06:37:46,816 - pyskl - INFO - Saving checkpoint at 129 epochs 2023-12-25 06:38:59,781 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 06:38:59,849 - pyskl - INFO - top1_acc 0.9230 top5_acc 0.9947 2023-12-25 06:38:59,850 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 06:38:59,857 - pyskl - INFO - mean_acc 0.8965 2023-12-25 06:38:59,859 - pyskl - INFO - Epoch(val) [129][533] top1_acc: 0.9230, top5_acc: 0.9947, mean_class_accuracy: 0.8965 2023-12-25 06:40:02,795 - pyskl - INFO - Epoch [130][100/1281] lr: 1.181e-03, eta: 2:58:25, time: 0.629, data_time: 0.179, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 2023-12-25 06:40:27,063 - pyskl - INFO - Epoch [130][200/1281] lr: 1.172e-03, eta: 2:57:42, time: 0.243, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 2023-12-25 06:41:10,545 - pyskl - INFO - Epoch [130][300/1281] lr: 1.164e-03, eta: 2:57:03, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 2023-12-25 06:41:54,056 - pyskl - INFO - Epoch [130][400/1281] lr: 1.155e-03, eta: 2:56:23, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0306, loss: 0.0306 2023-12-25 06:42:37,611 - pyskl - INFO - Epoch [130][500/1281] lr: 1.147e-03, eta: 2:55:44, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 2023-12-25 06:43:21,084 - pyskl - INFO - Epoch [130][600/1281] lr: 1.138e-03, eta: 2:55:05, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 2023-12-25 06:44:04,638 - pyskl - INFO - Epoch [130][700/1281] lr: 1.130e-03, eta: 2:54:25, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 2023-12-25 06:44:48,064 - pyskl - INFO - Epoch [130][800/1281] lr: 1.121e-03, eta: 2:53:46, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 2023-12-25 06:45:31,575 - pyskl - INFO - Epoch [130][900/1281] lr: 1.113e-03, eta: 2:53:06, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 2023-12-25 06:46:14,874 - pyskl - INFO - Epoch [130][1000/1281] lr: 1.104e-03, eta: 2:52:27, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 2023-12-25 06:46:57,682 - pyskl - INFO - Epoch [130][1100/1281] lr: 1.096e-03, eta: 2:51:48, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 2023-12-25 06:47:40,338 - pyskl - INFO - Epoch [130][1200/1281] lr: 1.088e-03, eta: 2:51:08, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 2023-12-25 06:48:15,324 - pyskl - INFO - Saving checkpoint at 130 epochs 2023-12-25 06:49:26,442 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 06:49:26,497 - pyskl - INFO - top1_acc 0.9240 top5_acc 0.9942 2023-12-25 06:49:26,497 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 06:49:26,504 - pyskl - INFO - mean_acc 0.9013 2023-12-25 06:49:26,505 - pyskl - INFO - Epoch(val) [130][533] top1_acc: 0.9240, top5_acc: 0.9942, mean_class_accuracy: 0.9013 2023-12-25 06:50:29,254 - pyskl - INFO - Epoch [131][100/1281] lr: 1.072e-03, eta: 2:49:54, time: 0.627, data_time: 0.178, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 2023-12-25 06:50:52,899 - pyskl - INFO - Epoch [131][200/1281] lr: 1.064e-03, eta: 2:49:12, time: 0.236, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 2023-12-25 06:51:35,599 - pyskl - INFO - Epoch [131][300/1281] lr: 1.056e-03, eta: 2:48:32, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 2023-12-25 06:52:18,260 - pyskl - INFO - Epoch [131][400/1281] lr: 1.048e-03, eta: 2:47:53, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 2023-12-25 06:53:00,862 - pyskl - INFO - Epoch [131][500/1281] lr: 1.040e-03, eta: 2:47:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 2023-12-25 06:53:43,460 - pyskl - INFO - Epoch [131][600/1281] lr: 1.031e-03, eta: 2:46:34, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 2023-12-25 06:54:26,305 - pyskl - INFO - Epoch [131][700/1281] lr: 1.023e-03, eta: 2:45:54, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 2023-12-25 06:55:08,913 - pyskl - INFO - Epoch [131][800/1281] lr: 1.015e-03, eta: 2:45:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 2023-12-25 06:55:51,572 - pyskl - INFO - Epoch [131][900/1281] lr: 1.007e-03, eta: 2:44:35, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 2023-12-25 06:56:34,090 - pyskl - INFO - Epoch [131][1000/1281] lr: 9.992e-04, eta: 2:43:55, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 2023-12-25 06:57:16,761 - pyskl - INFO - Epoch [131][1100/1281] lr: 9.912e-04, eta: 2:43:16, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 2023-12-25 06:57:59,394 - pyskl - INFO - Epoch [131][1200/1281] lr: 9.832e-04, eta: 2:42:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 2023-12-25 06:58:34,582 - pyskl - INFO - Saving checkpoint at 131 epochs 2023-12-25 06:59:44,711 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 06:59:44,774 - pyskl - INFO - top1_acc 0.9241 top5_acc 0.9942 2023-12-25 06:59:44,775 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 06:59:44,783 - pyskl - INFO - mean_acc 0.8992 2023-12-25 06:59:44,786 - pyskl - INFO - Epoch(val) [131][533] top1_acc: 0.9241, top5_acc: 0.9942, mean_class_accuracy: 0.8992 2023-12-25 07:00:46,917 - pyskl - INFO - Epoch [132][100/1281] lr: 9.689e-04, eta: 2:41:23, time: 0.621, data_time: 0.173, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 2023-12-25 07:01:11,188 - pyskl - INFO - Epoch [132][200/1281] lr: 9.610e-04, eta: 2:40:40, time: 0.243, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 2023-12-25 07:01:54,598 - pyskl - INFO - Epoch [132][300/1281] lr: 9.532e-04, eta: 2:40:01, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 2023-12-25 07:02:38,098 - pyskl - INFO - Epoch [132][400/1281] lr: 9.454e-04, eta: 2:39:21, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 2023-12-25 07:03:21,522 - pyskl - INFO - Epoch [132][500/1281] lr: 9.376e-04, eta: 2:38:42, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 2023-12-25 07:04:04,475 - pyskl - INFO - Epoch [132][600/1281] lr: 9.298e-04, eta: 2:38:03, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 2023-12-25 07:04:47,035 - pyskl - INFO - Epoch [132][700/1281] lr: 9.221e-04, eta: 2:37:23, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 2023-12-25 07:05:29,655 - pyskl - INFO - Epoch [132][800/1281] lr: 9.144e-04, eta: 2:36:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 2023-12-25 07:06:12,353 - pyskl - INFO - Epoch [132][900/1281] lr: 9.068e-04, eta: 2:36:04, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 2023-12-25 07:06:54,935 - pyskl - INFO - Epoch [132][1000/1281] lr: 8.991e-04, eta: 2:35:24, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 2023-12-25 07:07:37,542 - pyskl - INFO - Epoch [132][1100/1281] lr: 8.915e-04, eta: 2:34:45, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0283, loss: 0.0283 2023-12-25 07:08:20,125 - pyskl - INFO - Epoch [132][1200/1281] lr: 8.840e-04, eta: 2:34:05, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 2023-12-25 07:08:55,178 - pyskl - INFO - Saving checkpoint at 132 epochs 2023-12-25 07:10:05,289 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 07:10:05,343 - pyskl - INFO - top1_acc 0.9244 top5_acc 0.9946 2023-12-25 07:10:05,343 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 07:10:05,350 - pyskl - INFO - mean_acc 0.8980 2023-12-25 07:10:05,352 - pyskl - INFO - Epoch(val) [132][533] top1_acc: 0.9244, top5_acc: 0.9946, mean_class_accuracy: 0.8980 2023-12-25 07:11:07,406 - pyskl - INFO - Epoch [133][100/1281] lr: 8.704e-04, eta: 2:32:51, time: 0.620, data_time: 0.172, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 2023-12-25 07:11:31,019 - pyskl - INFO - Epoch [133][200/1281] lr: 8.629e-04, eta: 2:32:09, time: 0.236, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 2023-12-25 07:12:13,675 - pyskl - INFO - Epoch [133][300/1281] lr: 8.554e-04, eta: 2:31:30, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 2023-12-25 07:12:56,318 - pyskl - INFO - Epoch [133][400/1281] lr: 8.480e-04, eta: 2:30:50, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 2023-12-25 07:13:39,030 - pyskl - INFO - Epoch [133][500/1281] lr: 8.406e-04, eta: 2:30:10, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 2023-12-25 07:14:21,725 - pyskl - INFO - Epoch [133][600/1281] lr: 8.333e-04, eta: 2:29:31, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 2023-12-25 07:15:04,412 - pyskl - INFO - Epoch [133][700/1281] lr: 8.260e-04, eta: 2:28:51, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 2023-12-25 07:15:47,097 - pyskl - INFO - Epoch [133][800/1281] lr: 8.187e-04, eta: 2:28:12, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 2023-12-25 07:16:29,764 - pyskl - INFO - Epoch [133][900/1281] lr: 8.114e-04, eta: 2:27:32, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 2023-12-25 07:17:12,433 - pyskl - INFO - Epoch [133][1000/1281] lr: 8.042e-04, eta: 2:26:52, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 2023-12-25 07:17:55,058 - pyskl - INFO - Epoch [133][1100/1281] lr: 7.970e-04, eta: 2:26:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 2023-12-25 07:18:37,691 - pyskl - INFO - Epoch [133][1200/1281] lr: 7.898e-04, eta: 2:25:33, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 2023-12-25 07:19:12,667 - pyskl - INFO - Saving checkpoint at 133 epochs 2023-12-25 07:20:23,750 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 07:20:23,802 - pyskl - INFO - top1_acc 0.9229 top5_acc 0.9950 2023-12-25 07:20:23,802 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 07:20:23,808 - pyskl - INFO - mean_acc 0.8973 2023-12-25 07:20:23,810 - pyskl - INFO - Epoch(val) [133][533] top1_acc: 0.9229, top5_acc: 0.9950, mean_class_accuracy: 0.8973 2023-12-25 07:21:26,399 - pyskl - INFO - Epoch [134][100/1281] lr: 7.769e-04, eta: 2:24:20, time: 0.626, data_time: 0.178, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 2023-12-25 07:21:50,466 - pyskl - INFO - Epoch [134][200/1281] lr: 7.699e-04, eta: 2:23:38, time: 0.241, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 2023-12-25 07:22:33,843 - pyskl - INFO - Epoch [134][300/1281] lr: 7.628e-04, eta: 2:22:58, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0283, loss: 0.0283 2023-12-25 07:23:17,212 - pyskl - INFO - Epoch [134][400/1281] lr: 7.558e-04, eta: 2:22:19, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 2023-12-25 07:24:00,716 - pyskl - INFO - Epoch [134][500/1281] lr: 7.488e-04, eta: 2:21:39, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 2023-12-25 07:24:44,078 - pyskl - INFO - Epoch [134][600/1281] lr: 7.419e-04, eta: 2:21:00, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 2023-12-25 07:25:27,513 - pyskl - INFO - Epoch [134][700/1281] lr: 7.349e-04, eta: 2:20:20, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 2023-12-25 07:26:10,904 - pyskl - INFO - Epoch [134][800/1281] lr: 7.281e-04, eta: 2:19:41, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 2023-12-25 07:26:54,330 - pyskl - INFO - Epoch [134][900/1281] lr: 7.212e-04, eta: 2:19:01, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 2023-12-25 07:27:37,744 - pyskl - INFO - Epoch [134][1000/1281] lr: 7.144e-04, eta: 2:18:22, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 2023-12-25 07:28:21,286 - pyskl - INFO - Epoch [134][1100/1281] lr: 7.076e-04, eta: 2:17:42, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 2023-12-25 07:29:04,647 - pyskl - INFO - Epoch [134][1200/1281] lr: 7.008e-04, eta: 2:17:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 2023-12-25 07:29:40,302 - pyskl - INFO - Saving checkpoint at 134 epochs 2023-12-25 07:30:50,641 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 07:30:50,709 - pyskl - INFO - top1_acc 0.9267 top5_acc 0.9953 2023-12-25 07:30:50,710 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 07:30:50,719 - pyskl - INFO - mean_acc 0.9025 2023-12-25 07:30:50,721 - pyskl - INFO - Epoch(val) [134][533] top1_acc: 0.9267, top5_acc: 0.9953, mean_class_accuracy: 0.9025 2023-12-25 07:31:53,498 - pyskl - INFO - Epoch [135][100/1281] lr: 6.887e-04, eta: 2:15:49, time: 0.628, data_time: 0.180, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 2023-12-25 07:32:17,803 - pyskl - INFO - Epoch [135][200/1281] lr: 6.820e-04, eta: 2:15:07, time: 0.243, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 2023-12-25 07:33:00,453 - pyskl - INFO - Epoch [135][300/1281] lr: 6.753e-04, eta: 2:14:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 2023-12-25 07:33:43,044 - pyskl - INFO - Epoch [135][400/1281] lr: 6.687e-04, eta: 2:13:48, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 2023-12-25 07:34:25,664 - pyskl - INFO - Epoch [135][500/1281] lr: 6.622e-04, eta: 2:13:08, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 2023-12-25 07:35:08,199 - pyskl - INFO - Epoch [135][600/1281] lr: 6.556e-04, eta: 2:12:29, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 2023-12-25 07:35:50,727 - pyskl - INFO - Epoch [135][700/1281] lr: 6.491e-04, eta: 2:11:49, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 2023-12-25 07:36:33,356 - pyskl - INFO - Epoch [135][800/1281] lr: 6.426e-04, eta: 2:11:09, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 2023-12-25 07:37:16,007 - pyskl - INFO - Epoch [135][900/1281] lr: 6.362e-04, eta: 2:10:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 2023-12-25 07:37:58,724 - pyskl - INFO - Epoch [135][1000/1281] lr: 6.297e-04, eta: 2:09:50, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 2023-12-25 07:38:41,458 - pyskl - INFO - Epoch [135][1100/1281] lr: 6.233e-04, eta: 2:09:10, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 2023-12-25 07:39:24,150 - pyskl - INFO - Epoch [135][1200/1281] lr: 6.170e-04, eta: 2:08:31, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 2023-12-25 07:39:59,162 - pyskl - INFO - Saving checkpoint at 135 epochs 2023-12-25 07:41:07,918 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 07:41:07,990 - pyskl - INFO - top1_acc 0.9228 top5_acc 0.9951 2023-12-25 07:41:07,991 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 07:41:08,002 - pyskl - INFO - mean_acc 0.8973 2023-12-25 07:41:08,016 - pyskl - INFO - Epoch(val) [135][533] top1_acc: 0.9228, top5_acc: 0.9951, mean_class_accuracy: 0.8973 2023-12-25 07:42:09,822 - pyskl - INFO - Epoch [136][100/1281] lr: 6.056e-04, eta: 2:07:17, time: 0.618, data_time: 0.174, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 2023-12-25 07:42:34,544 - pyskl - INFO - Epoch [136][200/1281] lr: 5.993e-04, eta: 2:06:36, time: 0.247, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 2023-12-25 07:43:18,004 - pyskl - INFO - Epoch [136][300/1281] lr: 5.931e-04, eta: 2:05:56, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 2023-12-25 07:44:01,413 - pyskl - INFO - Epoch [136][400/1281] lr: 5.868e-04, eta: 2:05:16, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 2023-12-25 07:44:44,739 - pyskl - INFO - Epoch [136][500/1281] lr: 5.807e-04, eta: 2:04:37, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 2023-12-25 07:45:28,148 - pyskl - INFO - Epoch [136][600/1281] lr: 5.745e-04, eta: 2:03:57, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 2023-12-25 07:46:10,660 - pyskl - INFO - Epoch [136][700/1281] lr: 5.684e-04, eta: 2:03:18, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 2023-12-25 07:46:53,299 - pyskl - INFO - Epoch [136][800/1281] lr: 5.623e-04, eta: 2:02:38, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 2023-12-25 07:47:36,063 - pyskl - INFO - Epoch [136][900/1281] lr: 5.563e-04, eta: 2:01:58, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 2023-12-25 07:48:18,644 - pyskl - INFO - Epoch [136][1000/1281] lr: 5.503e-04, eta: 2:01:19, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0290, loss: 0.0290 2023-12-25 07:49:01,351 - pyskl - INFO - Epoch [136][1100/1281] lr: 5.443e-04, eta: 2:00:39, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 2023-12-25 07:49:44,035 - pyskl - INFO - Epoch [136][1200/1281] lr: 5.384e-04, eta: 1:59:59, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 2023-12-25 07:50:19,039 - pyskl - INFO - Saving checkpoint at 136 epochs 2023-12-25 07:51:27,000 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 07:51:27,055 - pyskl - INFO - top1_acc 0.9272 top5_acc 0.9954 2023-12-25 07:51:27,055 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 07:51:27,062 - pyskl - INFO - mean_acc 0.9005 2023-12-25 07:51:27,066 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_128.pth was removed 2023-12-25 07:51:27,252 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. 2023-12-25 07:51:27,253 - pyskl - INFO - Best top1_acc is 0.9272 at 136 epoch. 2023-12-25 07:51:27,256 - pyskl - INFO - Epoch(val) [136][533] top1_acc: 0.9272, top5_acc: 0.9954, mean_class_accuracy: 0.9005 2023-12-25 07:52:27,692 - pyskl - INFO - Epoch [137][100/1281] lr: 5.277e-04, eta: 1:58:46, time: 0.604, data_time: 0.178, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 2023-12-25 07:52:53,562 - pyskl - INFO - Epoch [137][200/1281] lr: 5.218e-04, eta: 1:58:04, time: 0.259, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 2023-12-25 07:53:37,170 - pyskl - INFO - Epoch [137][300/1281] lr: 5.160e-04, eta: 1:57:25, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 2023-12-25 07:54:20,663 - pyskl - INFO - Epoch [137][400/1281] lr: 5.102e-04, eta: 1:56:45, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 2023-12-25 07:55:04,077 - pyskl - INFO - Epoch [137][500/1281] lr: 5.044e-04, eta: 1:56:05, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 2023-12-25 07:55:47,433 - pyskl - INFO - Epoch [137][600/1281] lr: 4.987e-04, eta: 1:55:26, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 2023-12-25 07:56:31,057 - pyskl - INFO - Epoch [137][700/1281] lr: 4.930e-04, eta: 1:54:46, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 2023-12-25 07:57:13,896 - pyskl - INFO - Epoch [137][800/1281] lr: 4.873e-04, eta: 1:54:07, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 2023-12-25 07:57:56,564 - pyskl - INFO - Epoch [137][900/1281] lr: 4.817e-04, eta: 1:53:27, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 2023-12-25 07:58:39,144 - pyskl - INFO - Epoch [137][1000/1281] lr: 4.761e-04, eta: 1:52:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 2023-12-25 07:59:21,837 - pyskl - INFO - Epoch [137][1100/1281] lr: 4.705e-04, eta: 1:52:07, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 2023-12-25 08:00:04,597 - pyskl - INFO - Epoch [137][1200/1281] lr: 4.650e-04, eta: 1:51:28, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 2023-12-25 08:00:40,391 - pyskl - INFO - Saving checkpoint at 137 epochs 2023-12-25 08:01:46,774 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 08:01:46,843 - pyskl - INFO - top1_acc 0.9269 top5_acc 0.9957 2023-12-25 08:01:46,843 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 08:01:46,856 - pyskl - INFO - mean_acc 0.9030 2023-12-25 08:01:46,860 - pyskl - INFO - Epoch(val) [137][533] top1_acc: 0.9269, top5_acc: 0.9957, mean_class_accuracy: 0.9030 2023-12-25 08:02:48,335 - pyskl - INFO - Epoch [138][100/1281] lr: 4.550e-04, eta: 1:50:14, time: 0.615, data_time: 0.178, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 2023-12-25 08:03:12,682 - pyskl - INFO - Epoch [138][200/1281] lr: 4.496e-04, eta: 1:49:33, time: 0.243, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 2023-12-25 08:03:55,354 - pyskl - INFO - Epoch [138][300/1281] lr: 4.442e-04, eta: 1:48:53, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 2023-12-25 08:04:37,971 - pyskl - INFO - Epoch [138][400/1281] lr: 4.388e-04, eta: 1:48:14, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 2023-12-25 08:05:20,524 - pyskl - INFO - Epoch [138][500/1281] lr: 4.334e-04, eta: 1:47:34, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 2023-12-25 08:06:03,134 - pyskl - INFO - Epoch [138][600/1281] lr: 4.281e-04, eta: 1:46:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 2023-12-25 08:06:45,726 - pyskl - INFO - Epoch [138][700/1281] lr: 4.228e-04, eta: 1:46:14, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 2023-12-25 08:07:28,394 - pyskl - INFO - Epoch [138][800/1281] lr: 4.176e-04, eta: 1:45:35, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 2023-12-25 08:08:11,011 - pyskl - INFO - Epoch [138][900/1281] lr: 4.124e-04, eta: 1:44:55, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 2023-12-25 08:08:53,770 - pyskl - INFO - Epoch [138][1000/1281] lr: 4.072e-04, eta: 1:44:15, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 2023-12-25 08:09:36,387 - pyskl - INFO - Epoch [138][1100/1281] lr: 4.020e-04, eta: 1:43:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 2023-12-25 08:10:18,936 - pyskl - INFO - Epoch [138][1200/1281] lr: 3.969e-04, eta: 1:42:56, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 2023-12-25 08:10:53,979 - pyskl - INFO - Saving checkpoint at 138 epochs 2023-12-25 08:12:01,879 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 08:12:01,947 - pyskl - INFO - top1_acc 0.9283 top5_acc 0.9953 2023-12-25 08:12:01,947 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 08:12:01,954 - pyskl - INFO - mean_acc 0.9023 2023-12-25 08:12:01,959 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_136.pth was removed 2023-12-25 08:12:02,154 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. 2023-12-25 08:12:02,154 - pyskl - INFO - Best top1_acc is 0.9283 at 138 epoch. 2023-12-25 08:12:02,157 - pyskl - INFO - Epoch(val) [138][533] top1_acc: 0.9283, top5_acc: 0.9953, mean_class_accuracy: 0.9023 2023-12-25 08:13:03,104 - pyskl - INFO - Epoch [139][100/1281] lr: 3.877e-04, eta: 1:41:42, time: 0.609, data_time: 0.175, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 2023-12-25 08:13:28,562 - pyskl - INFO - Epoch [139][200/1281] lr: 3.827e-04, eta: 1:41:01, time: 0.255, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 2023-12-25 08:14:11,507 - pyskl - INFO - Epoch [139][300/1281] lr: 3.777e-04, eta: 1:40:22, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 2023-12-25 08:14:54,073 - pyskl - INFO - Epoch [139][400/1281] lr: 3.727e-04, eta: 1:39:42, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 2023-12-25 08:15:36,347 - pyskl - INFO - Epoch [139][500/1281] lr: 3.678e-04, eta: 1:39:02, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 2023-12-25 08:16:18,584 - pyskl - INFO - Epoch [139][600/1281] lr: 3.628e-04, eta: 1:38:22, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 2023-12-25 08:17:01,205 - pyskl - INFO - Epoch [139][700/1281] lr: 3.580e-04, eta: 1:37:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 2023-12-25 08:17:43,869 - pyskl - INFO - Epoch [139][800/1281] lr: 3.531e-04, eta: 1:37:03, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 2023-12-25 08:18:26,444 - pyskl - INFO - Epoch [139][900/1281] lr: 3.483e-04, eta: 1:36:23, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 2023-12-25 08:19:09,085 - pyskl - INFO - Epoch [139][1000/1281] lr: 3.436e-04, eta: 1:35:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 2023-12-25 08:19:51,732 - pyskl - INFO - Epoch [139][1100/1281] lr: 3.388e-04, eta: 1:35:04, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 2023-12-25 08:20:34,162 - pyskl - INFO - Epoch [139][1200/1281] lr: 3.341e-04, eta: 1:34:24, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 2023-12-25 08:21:08,968 - pyskl - INFO - Saving checkpoint at 139 epochs 2023-12-25 08:22:15,059 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 08:22:15,116 - pyskl - INFO - top1_acc 0.9276 top5_acc 0.9957 2023-12-25 08:22:15,116 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 08:22:15,124 - pyskl - INFO - mean_acc 0.9009 2023-12-25 08:22:15,126 - pyskl - INFO - Epoch(val) [139][533] top1_acc: 0.9276, top5_acc: 0.9957, mean_class_accuracy: 0.9009 2023-12-25 08:23:14,977 - pyskl - INFO - Epoch [140][100/1281] lr: 3.257e-04, eta: 1:33:10, time: 0.598, data_time: 0.172, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 2023-12-25 08:23:40,496 - pyskl - INFO - Epoch [140][200/1281] lr: 3.210e-04, eta: 1:32:29, time: 0.255, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 2023-12-25 08:24:22,424 - pyskl - INFO - Epoch [140][300/1281] lr: 3.165e-04, eta: 1:31:50, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 2023-12-25 08:25:04,417 - pyskl - INFO - Epoch [140][400/1281] lr: 3.119e-04, eta: 1:31:10, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 2023-12-25 08:25:46,477 - pyskl - INFO - Epoch [140][500/1281] lr: 3.074e-04, eta: 1:30:30, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 2023-12-25 08:26:29,132 - pyskl - INFO - Epoch [140][600/1281] lr: 3.029e-04, eta: 1:29:50, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0244, loss: 0.0244 2023-12-25 08:27:11,893 - pyskl - INFO - Epoch [140][700/1281] lr: 2.984e-04, eta: 1:29:10, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 2023-12-25 08:27:54,479 - pyskl - INFO - Epoch [140][800/1281] lr: 2.940e-04, eta: 1:28:31, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 2023-12-25 08:28:36,950 - pyskl - INFO - Epoch [140][900/1281] lr: 2.896e-04, eta: 1:27:51, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 2023-12-25 08:29:18,848 - pyskl - INFO - Epoch [140][1000/1281] lr: 2.853e-04, eta: 1:27:11, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 2023-12-25 08:30:00,759 - pyskl - INFO - Epoch [140][1100/1281] lr: 2.809e-04, eta: 1:26:31, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 2023-12-25 08:30:42,851 - pyskl - INFO - Epoch [140][1200/1281] lr: 2.767e-04, eta: 1:25:51, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 2023-12-25 08:31:17,354 - pyskl - INFO - Saving checkpoint at 140 epochs 2023-12-25 08:32:22,751 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 08:32:22,808 - pyskl - INFO - top1_acc 0.9261 top5_acc 0.9952 2023-12-25 08:32:22,808 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 08:32:22,816 - pyskl - INFO - mean_acc 0.8993 2023-12-25 08:32:22,818 - pyskl - INFO - Epoch(val) [140][533] top1_acc: 0.9261, top5_acc: 0.9952, mean_class_accuracy: 0.8993 2023-12-25 08:33:22,074 - pyskl - INFO - Epoch [141][100/1281] lr: 2.690e-04, eta: 1:24:38, time: 0.593, data_time: 0.169, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 2023-12-25 08:33:49,103 - pyskl - INFO - Epoch [141][200/1281] lr: 2.648e-04, eta: 1:23:57, time: 0.270, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 2023-12-25 08:34:31,762 - pyskl - INFO - Epoch [141][300/1281] lr: 2.606e-04, eta: 1:23:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 2023-12-25 08:35:14,372 - pyskl - INFO - Epoch [141][400/1281] lr: 2.565e-04, eta: 1:22:38, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 2023-12-25 08:35:57,136 - pyskl - INFO - Epoch [141][500/1281] lr: 2.524e-04, eta: 1:21:58, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 2023-12-25 08:36:39,790 - pyskl - INFO - Epoch [141][600/1281] lr: 2.483e-04, eta: 1:21:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 2023-12-25 08:37:21,824 - pyskl - INFO - Epoch [141][700/1281] lr: 2.443e-04, eta: 1:20:38, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 2023-12-25 08:38:03,857 - pyskl - INFO - Epoch [141][800/1281] lr: 2.402e-04, eta: 1:19:59, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 2023-12-25 08:38:45,825 - pyskl - INFO - Epoch [141][900/1281] lr: 2.363e-04, eta: 1:19:19, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 2023-12-25 08:39:27,693 - pyskl - INFO - Epoch [141][1000/1281] lr: 2.323e-04, eta: 1:18:39, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 2023-12-25 08:40:09,578 - pyskl - INFO - Epoch [141][1100/1281] lr: 2.284e-04, eta: 1:17:59, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 2023-12-25 08:40:51,323 - pyskl - INFO - Epoch [141][1200/1281] lr: 2.246e-04, eta: 1:17:19, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 2023-12-25 08:41:25,797 - pyskl - INFO - Saving checkpoint at 141 epochs 2023-12-25 08:42:30,341 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 08:42:30,401 - pyskl - INFO - top1_acc 0.9272 top5_acc 0.9953 2023-12-25 08:42:30,401 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 08:42:30,409 - pyskl - INFO - mean_acc 0.9003 2023-12-25 08:42:30,412 - pyskl - INFO - Epoch(val) [141][533] top1_acc: 0.9272, top5_acc: 0.9953, mean_class_accuracy: 0.9003 2023-12-25 08:43:28,567 - pyskl - INFO - Epoch [142][100/1281] lr: 2.176e-04, eta: 1:16:06, time: 0.581, data_time: 0.168, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 2023-12-25 08:43:55,947 - pyskl - INFO - Epoch [142][200/1281] lr: 2.139e-04, eta: 1:15:25, time: 0.274, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 2023-12-25 08:44:38,346 - pyskl - INFO - Epoch [142][300/1281] lr: 2.101e-04, eta: 1:14:46, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 2023-12-25 08:45:20,399 - pyskl - INFO - Epoch [142][400/1281] lr: 2.064e-04, eta: 1:14:06, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 2023-12-25 08:46:02,525 - pyskl - INFO - Epoch [142][500/1281] lr: 2.027e-04, eta: 1:13:26, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 2023-12-25 08:46:44,583 - pyskl - INFO - Epoch [142][600/1281] lr: 1.991e-04, eta: 1:12:46, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 2023-12-25 08:47:26,642 - pyskl - INFO - Epoch [142][700/1281] lr: 1.954e-04, eta: 1:12:06, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 2023-12-25 08:48:08,535 - pyskl - INFO - Epoch [142][800/1281] lr: 1.919e-04, eta: 1:11:26, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 2023-12-25 08:48:50,647 - pyskl - INFO - Epoch [142][900/1281] lr: 1.883e-04, eta: 1:10:47, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 2023-12-25 08:49:32,903 - pyskl - INFO - Epoch [142][1000/1281] lr: 1.848e-04, eta: 1:10:07, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 2023-12-25 08:50:14,996 - pyskl - INFO - Epoch [142][1100/1281] lr: 1.813e-04, eta: 1:09:27, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 2023-12-25 08:50:56,975 - pyskl - INFO - Epoch [142][1200/1281] lr: 1.779e-04, eta: 1:08:47, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 2023-12-25 08:51:31,594 - pyskl - INFO - Saving checkpoint at 142 epochs 2023-12-25 08:52:35,389 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 08:52:35,447 - pyskl - INFO - top1_acc 0.9274 top5_acc 0.9952 2023-12-25 08:52:35,448 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 08:52:35,456 - pyskl - INFO - mean_acc 0.9029 2023-12-25 08:52:35,459 - pyskl - INFO - Epoch(val) [142][533] top1_acc: 0.9274, top5_acc: 0.9952, mean_class_accuracy: 0.9029 2023-12-25 08:53:33,288 - pyskl - INFO - Epoch [143][100/1281] lr: 1.717e-04, eta: 1:07:34, time: 0.578, data_time: 0.171, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 2023-12-25 08:54:00,581 - pyskl - INFO - Epoch [143][200/1281] lr: 1.683e-04, eta: 1:06:53, time: 0.273, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 2023-12-25 08:54:42,691 - pyskl - INFO - Epoch [143][300/1281] lr: 1.650e-04, eta: 1:06:13, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 2023-12-25 08:55:24,681 - pyskl - INFO - Epoch [143][400/1281] lr: 1.617e-04, eta: 1:05:34, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 2023-12-25 08:56:06,597 - pyskl - INFO - Epoch [143][500/1281] lr: 1.585e-04, eta: 1:04:54, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 2023-12-25 08:56:48,577 - pyskl - INFO - Epoch [143][600/1281] lr: 1.552e-04, eta: 1:04:14, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 2023-12-25 08:57:30,502 - pyskl - INFO - Epoch [143][700/1281] lr: 1.520e-04, eta: 1:03:34, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 2023-12-25 08:58:12,582 - pyskl - INFO - Epoch [143][800/1281] lr: 1.489e-04, eta: 1:02:54, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 2023-12-25 08:58:54,512 - pyskl - INFO - Epoch [143][900/1281] lr: 1.457e-04, eta: 1:02:14, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0244, loss: 0.0244 2023-12-25 08:59:36,519 - pyskl - INFO - Epoch [143][1000/1281] lr: 1.426e-04, eta: 1:01:35, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 2023-12-25 09:00:18,374 - pyskl - INFO - Epoch [143][1100/1281] lr: 1.396e-04, eta: 1:00:55, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 2023-12-25 09:01:00,526 - pyskl - INFO - Epoch [143][1200/1281] lr: 1.366e-04, eta: 1:00:15, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 2023-12-25 09:01:34,875 - pyskl - INFO - Saving checkpoint at 143 epochs 2023-12-25 09:02:38,783 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 09:02:38,839 - pyskl - INFO - top1_acc 0.9274 top5_acc 0.9960 2023-12-25 09:02:38,839 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 09:02:38,846 - pyskl - INFO - mean_acc 0.9012 2023-12-25 09:02:38,848 - pyskl - INFO - Epoch(val) [143][533] top1_acc: 0.9274, top5_acc: 0.9960, mean_class_accuracy: 0.9012 2023-12-25 09:03:36,393 - pyskl - INFO - Epoch [144][100/1281] lr: 1.312e-04, eta: 0:59:02, time: 0.575, data_time: 0.170, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 2023-12-25 09:04:04,430 - pyskl - INFO - Epoch [144][200/1281] lr: 1.282e-04, eta: 0:58:21, time: 0.280, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0244, loss: 0.0244 2023-12-25 09:04:47,067 - pyskl - INFO - Epoch [144][300/1281] lr: 1.253e-04, eta: 0:57:41, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 2023-12-25 09:05:29,889 - pyskl - INFO - Epoch [144][400/1281] lr: 1.224e-04, eta: 0:57:02, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 2023-12-25 09:06:12,589 - pyskl - INFO - Epoch [144][500/1281] lr: 1.196e-04, eta: 0:56:22, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0239, loss: 0.0239 2023-12-25 09:06:55,388 - pyskl - INFO - Epoch [144][600/1281] lr: 1.168e-04, eta: 0:55:42, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 2023-12-25 09:07:38,114 - pyskl - INFO - Epoch [144][700/1281] lr: 1.140e-04, eta: 0:55:02, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 2023-12-25 09:08:20,783 - pyskl - INFO - Epoch [144][800/1281] lr: 1.113e-04, eta: 0:54:22, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 2023-12-25 09:09:03,544 - pyskl - INFO - Epoch [144][900/1281] lr: 1.086e-04, eta: 0:53:43, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 2023-12-25 09:09:46,126 - pyskl - INFO - Epoch [144][1000/1281] lr: 1.059e-04, eta: 0:53:03, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 2023-12-25 09:10:28,866 - pyskl - INFO - Epoch [144][1100/1281] lr: 1.033e-04, eta: 0:52:23, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 2023-12-25 09:11:11,140 - pyskl - INFO - Epoch [144][1200/1281] lr: 1.007e-04, eta: 0:51:43, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 2023-12-25 09:11:45,760 - pyskl - INFO - Saving checkpoint at 144 epochs 2023-12-25 09:12:48,899 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 09:12:48,955 - pyskl - INFO - top1_acc 0.9281 top5_acc 0.9953 2023-12-25 09:12:48,955 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 09:12:48,962 - pyskl - INFO - mean_acc 0.9022 2023-12-25 09:12:48,964 - pyskl - INFO - Epoch(val) [144][533] top1_acc: 0.9281, top5_acc: 0.9953, mean_class_accuracy: 0.9022 2023-12-25 09:13:46,201 - pyskl - INFO - Epoch [145][100/1281] lr: 9.605e-05, eta: 0:50:30, time: 0.572, data_time: 0.169, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 2023-12-25 09:14:13,865 - pyskl - INFO - Epoch [145][200/1281] lr: 9.353e-05, eta: 0:49:50, time: 0.277, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 2023-12-25 09:14:55,896 - pyskl - INFO - Epoch [145][300/1281] lr: 9.106e-05, eta: 0:49:10, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 2023-12-25 09:15:37,864 - pyskl - INFO - Epoch [145][400/1281] lr: 8.861e-05, eta: 0:48:30, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 2023-12-25 09:16:19,846 - pyskl - INFO - Epoch [145][500/1281] lr: 8.620e-05, eta: 0:47:50, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 2023-12-25 09:17:01,915 - pyskl - INFO - Epoch [145][600/1281] lr: 8.382e-05, eta: 0:47:10, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 2023-12-25 09:17:44,029 - pyskl - INFO - Epoch [145][700/1281] lr: 8.147e-05, eta: 0:46:30, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 2023-12-25 09:18:26,391 - pyskl - INFO - Epoch [145][800/1281] lr: 7.916e-05, eta: 0:45:50, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0244, loss: 0.0244 2023-12-25 09:19:09,008 - pyskl - INFO - Epoch [145][900/1281] lr: 7.688e-05, eta: 0:45:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 2023-12-25 09:19:51,278 - pyskl - INFO - Epoch [145][1000/1281] lr: 7.463e-05, eta: 0:44:31, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 2023-12-25 09:20:33,244 - pyskl - INFO - Epoch [145][1100/1281] lr: 7.242e-05, eta: 0:43:51, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 2023-12-25 09:21:15,159 - pyskl - INFO - Epoch [145][1200/1281] lr: 7.024e-05, eta: 0:43:11, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 2023-12-25 09:21:49,558 - pyskl - INFO - Saving checkpoint at 145 epochs 2023-12-25 09:22:53,148 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 09:22:53,213 - pyskl - INFO - top1_acc 0.9276 top5_acc 0.9955 2023-12-25 09:22:53,214 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 09:22:53,221 - pyskl - INFO - mean_acc 0.9008 2023-12-25 09:22:53,223 - pyskl - INFO - Epoch(val) [145][533] top1_acc: 0.9276, top5_acc: 0.9955, mean_class_accuracy: 0.9008 2023-12-25 09:23:50,601 - pyskl - INFO - Epoch [146][100/1281] lr: 6.638e-05, eta: 0:41:58, time: 0.574, data_time: 0.170, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 2023-12-25 09:24:18,948 - pyskl - INFO - Epoch [146][200/1281] lr: 6.429e-05, eta: 0:41:18, time: 0.283, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 2023-12-25 09:25:00,853 - pyskl - INFO - Epoch [146][300/1281] lr: 6.224e-05, eta: 0:40:38, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 2023-12-25 09:25:42,943 - pyskl - INFO - Epoch [146][400/1281] lr: 6.022e-05, eta: 0:39:58, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 2023-12-25 09:26:25,153 - pyskl - INFO - Epoch [146][500/1281] lr: 5.823e-05, eta: 0:39:18, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 2023-12-25 09:27:07,129 - pyskl - INFO - Epoch [146][600/1281] lr: 5.628e-05, eta: 0:38:38, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 2023-12-25 09:27:49,283 - pyskl - INFO - Epoch [146][700/1281] lr: 5.436e-05, eta: 0:37:58, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 2023-12-25 09:28:31,118 - pyskl - INFO - Epoch [146][800/1281] lr: 5.247e-05, eta: 0:37:19, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 2023-12-25 09:29:13,012 - pyskl - INFO - Epoch [146][900/1281] lr: 5.061e-05, eta: 0:36:39, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 2023-12-25 09:29:55,062 - pyskl - INFO - Epoch [146][1000/1281] lr: 4.879e-05, eta: 0:35:59, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0244, loss: 0.0244 2023-12-25 09:30:36,957 - pyskl - INFO - Epoch [146][1100/1281] lr: 4.701e-05, eta: 0:35:19, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 2023-12-25 09:31:18,866 - pyskl - INFO - Epoch [146][1200/1281] lr: 4.525e-05, eta: 0:34:39, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 2023-12-25 09:31:53,370 - pyskl - INFO - Saving checkpoint at 146 epochs 2023-12-25 09:32:55,832 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 09:32:55,887 - pyskl - INFO - top1_acc 0.9290 top5_acc 0.9955 2023-12-25 09:32:55,888 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 09:32:55,895 - pyskl - INFO - mean_acc 0.9028 2023-12-25 09:32:55,899 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_138.pth was removed 2023-12-25 09:32:56,073 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_146.pth. 2023-12-25 09:32:56,073 - pyskl - INFO - Best top1_acc is 0.9290 at 146 epoch. 2023-12-25 09:32:56,076 - pyskl - INFO - Epoch(val) [146][533] top1_acc: 0.9290, top5_acc: 0.9955, mean_class_accuracy: 0.9028 2023-12-25 09:33:51,734 - pyskl - INFO - Epoch [147][100/1281] lr: 4.216e-05, eta: 0:33:26, time: 0.557, data_time: 0.165, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 2023-12-25 09:34:20,994 - pyskl - INFO - Epoch [147][200/1281] lr: 4.050e-05, eta: 0:32:46, time: 0.293, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 2023-12-25 09:35:02,947 - pyskl - INFO - Epoch [147][300/1281] lr: 3.887e-05, eta: 0:32:06, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 2023-12-25 09:35:44,760 - pyskl - INFO - Epoch [147][400/1281] lr: 3.728e-05, eta: 0:31:26, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0239, loss: 0.0239 2023-12-25 09:36:26,709 - pyskl - INFO - Epoch [147][500/1281] lr: 3.572e-05, eta: 0:30:46, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0238, loss: 0.0238 2023-12-25 09:37:08,535 - pyskl - INFO - Epoch [147][600/1281] lr: 3.419e-05, eta: 0:30:06, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 2023-12-25 09:37:50,407 - pyskl - INFO - Epoch [147][700/1281] lr: 3.270e-05, eta: 0:29:27, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 2023-12-25 09:38:32,517 - pyskl - INFO - Epoch [147][800/1281] lr: 3.124e-05, eta: 0:28:47, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 2023-12-25 09:39:14,512 - pyskl - INFO - Epoch [147][900/1281] lr: 2.981e-05, eta: 0:28:07, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 2023-12-25 09:39:56,388 - pyskl - INFO - Epoch [147][1000/1281] lr: 2.842e-05, eta: 0:27:27, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 2023-12-25 09:40:38,307 - pyskl - INFO - Epoch [147][1100/1281] lr: 2.706e-05, eta: 0:26:47, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 2023-12-25 09:41:20,319 - pyskl - INFO - Epoch [147][1200/1281] lr: 2.573e-05, eta: 0:26:07, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 2023-12-25 09:41:54,790 - pyskl - INFO - Saving checkpoint at 147 epochs 2023-12-25 09:42:56,145 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 09:42:56,203 - pyskl - INFO - top1_acc 0.9282 top5_acc 0.9957 2023-12-25 09:42:56,203 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 09:42:56,212 - pyskl - INFO - mean_acc 0.9026 2023-12-25 09:42:56,215 - pyskl - INFO - Epoch(val) [147][533] top1_acc: 0.9282, top5_acc: 0.9957, mean_class_accuracy: 0.9026 2023-12-25 09:43:51,918 - pyskl - INFO - Epoch [148][100/1281] lr: 2.341e-05, eta: 0:24:54, time: 0.557, data_time: 0.175, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 2023-12-25 09:44:21,496 - pyskl - INFO - Epoch [148][200/1281] lr: 2.218e-05, eta: 0:24:14, time: 0.296, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 2023-12-25 09:45:03,710 - pyskl - INFO - Epoch [148][300/1281] lr: 2.098e-05, eta: 0:23:34, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 2023-12-25 09:45:45,658 - pyskl - INFO - Epoch [148][400/1281] lr: 1.981e-05, eta: 0:22:54, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 2023-12-25 09:46:27,598 - pyskl - INFO - Epoch [148][500/1281] lr: 1.868e-05, eta: 0:22:15, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 2023-12-25 09:47:09,534 - pyskl - INFO - Epoch [148][600/1281] lr: 1.758e-05, eta: 0:21:35, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 2023-12-25 09:47:51,360 - pyskl - INFO - Epoch [148][700/1281] lr: 1.651e-05, eta: 0:20:55, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 2023-12-25 09:48:33,507 - pyskl - INFO - Epoch [148][800/1281] lr: 1.548e-05, eta: 0:20:15, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0239, loss: 0.0239 2023-12-25 09:49:16,194 - pyskl - INFO - Epoch [148][900/1281] lr: 1.448e-05, eta: 0:19:35, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 2023-12-25 09:49:58,823 - pyskl - INFO - Epoch [148][1000/1281] lr: 1.351e-05, eta: 0:18:55, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 2023-12-25 09:50:41,409 - pyskl - INFO - Epoch [148][1100/1281] lr: 1.258e-05, eta: 0:18:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0241, loss: 0.0241 2023-12-25 09:51:23,994 - pyskl - INFO - Epoch [148][1200/1281] lr: 1.168e-05, eta: 0:17:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 2023-12-25 09:51:59,126 - pyskl - INFO - Saving checkpoint at 148 epochs 2023-12-25 09:53:00,247 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 09:53:00,303 - pyskl - INFO - top1_acc 0.9288 top5_acc 0.9954 2023-12-25 09:53:00,303 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 09:53:00,310 - pyskl - INFO - mean_acc 0.9032 2023-12-25 09:53:00,313 - pyskl - INFO - Epoch(val) [148][533] top1_acc: 0.9288, top5_acc: 0.9954, mean_class_accuracy: 0.9032 2023-12-25 09:53:55,849 - pyskl - INFO - Epoch [149][100/1281] lr: 1.013e-05, eta: 0:16:23, time: 0.555, data_time: 0.162, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 2023-12-25 09:54:24,876 - pyskl - INFO - Epoch [149][200/1281] lr: 9.328e-06, eta: 0:15:43, time: 0.290, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 2023-12-25 09:55:06,902 - pyskl - INFO - Epoch [149][300/1281] lr: 8.555e-06, eta: 0:15:03, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 2023-12-25 09:55:48,840 - pyskl - INFO - Epoch [149][400/1281] lr: 7.816e-06, eta: 0:14:23, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 2023-12-25 09:56:30,866 - pyskl - INFO - Epoch [149][500/1281] lr: 7.110e-06, eta: 0:13:43, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 2023-12-25 09:57:12,675 - pyskl - INFO - Epoch [149][600/1281] lr: 6.437e-06, eta: 0:13:03, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 2023-12-25 09:57:54,441 - pyskl - INFO - Epoch [149][700/1281] lr: 5.798e-06, eta: 0:12:23, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 2023-12-25 09:58:36,288 - pyskl - INFO - Epoch [149][800/1281] lr: 5.192e-06, eta: 0:11:43, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 2023-12-25 09:59:18,109 - pyskl - INFO - Epoch [149][900/1281] lr: 4.620e-06, eta: 0:11:03, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 2023-12-25 10:00:00,118 - pyskl - INFO - Epoch [149][1000/1281] lr: 4.081e-06, eta: 0:10:23, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 2023-12-25 10:00:42,128 - pyskl - INFO - Epoch [149][1100/1281] lr: 3.576e-06, eta: 0:09:43, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 2023-12-25 10:01:24,015 - pyskl - INFO - Epoch [149][1200/1281] lr: 3.104e-06, eta: 0:09:03, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 2023-12-25 10:01:58,308 - pyskl - INFO - Saving checkpoint at 149 epochs 2023-12-25 10:02:59,915 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 10:02:59,970 - pyskl - INFO - top1_acc 0.9278 top5_acc 0.9957 2023-12-25 10:02:59,970 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 10:02:59,977 - pyskl - INFO - mean_acc 0.9024 2023-12-25 10:02:59,979 - pyskl - INFO - Epoch(val) [149][533] top1_acc: 0.9278, top5_acc: 0.9957, mean_class_accuracy: 0.9024 2023-12-25 10:03:55,702 - pyskl - INFO - Epoch [150][100/1281] lr: 2.334e-06, eta: 0:07:51, time: 0.557, data_time: 0.165, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 2023-12-25 10:04:24,949 - pyskl - INFO - Epoch [150][200/1281] lr: 1.956e-06, eta: 0:07:11, time: 0.292, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 2023-12-25 10:05:07,613 - pyskl - INFO - Epoch [150][300/1281] lr: 1.611e-06, eta: 0:06:31, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 2023-12-25 10:05:50,299 - pyskl - INFO - Epoch [150][400/1281] lr: 1.300e-06, eta: 0:05:51, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 2023-12-25 10:06:32,906 - pyskl - INFO - Epoch [150][500/1281] lr: 1.022e-06, eta: 0:05:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 2023-12-25 10:07:14,863 - pyskl - INFO - Epoch [150][600/1281] lr: 7.771e-07, eta: 0:04:31, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 2023-12-25 10:07:56,653 - pyskl - INFO - Epoch [150][700/1281] lr: 5.659e-07, eta: 0:03:52, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0239, loss: 0.0239 2023-12-25 10:08:38,503 - pyskl - INFO - Epoch [150][800/1281] lr: 3.881e-07, eta: 0:03:12, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 2023-12-25 10:09:20,419 - pyskl - INFO - Epoch [150][900/1281] lr: 2.438e-07, eta: 0:02:32, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 2023-12-25 10:10:02,346 - pyskl - INFO - Epoch [150][1000/1281] lr: 1.329e-07, eta: 0:01:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 2023-12-25 10:10:44,252 - pyskl - INFO - Epoch [150][1100/1281] lr: 5.534e-08, eta: 0:01:12, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 2023-12-25 10:11:26,219 - pyskl - INFO - Epoch [150][1200/1281] lr: 1.123e-08, eta: 0:00:32, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 2023-12-25 10:12:00,571 - pyskl - INFO - Saving checkpoint at 150 epochs 2023-12-25 10:13:02,650 - pyskl - INFO - Evaluating top_k_accuracy ... 2023-12-25 10:13:02,705 - pyskl - INFO - top1_acc 0.9279 top5_acc 0.9957 2023-12-25 10:13:02,705 - pyskl - INFO - Evaluating mean_class_accuracy ... 2023-12-25 10:13:02,712 - pyskl - INFO - mean_acc 0.9016 2023-12-25 10:13:02,713 - pyskl - INFO - Epoch(val) [150][533] top1_acc: 0.9279, top5_acc: 0.9957, mean_class_accuracy: 0.9016 2023-12-25 10:13:07,125 - pyskl - INFO - 8521 videos remain after valid thresholding 2023-12-25 10:23:16,719 - pyskl - INFO - Testing results of the last checkpoint 2023-12-25 10:23:16,719 - pyskl - INFO - top1_acc: 0.9317 2023-12-25 10:23:16,719 - pyskl - INFO - top5_acc: 0.9959 2023-12-25 10:23:16,719 - pyskl - INFO - mean_class_accuracy: 0.9071 2023-12-25 10:23:16,720 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/finegym/km/best_top1_acc_epoch_146.pth 2023-12-25 10:33:27,818 - pyskl - INFO - Testing results of the best checkpoint 2023-12-25 10:33:27,819 - pyskl - INFO - top1_acc: 0.9338 2023-12-25 10:33:27,819 - pyskl - INFO - top5_acc: 0.9954 2023-12-25 10:33:27,819 - pyskl - INFO - mean_class_accuracy: 0.9102