diff --git "a/finegym/k_2/20231223_050754.log" "b/finegym/k_2/20231223_050754.log" new file mode 100644--- /dev/null +++ "b/finegym/k_2/20231223_050754.log" @@ -0,0 +1,3471 @@ +2023-12-23 05:07:54,298 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-12.0 +NVCC: Cuda compilation tools, release 12.0, V12.0.76 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2023-12-23 05:07:54,728 - pyskl - INFO - Config: modality = 'k' +graph = 'coco_new' +work_dir = './work_dirs/test_prototype/finegym/k_2' +model = dict( + type='RecognizerGCN_7_1_1', + backbone=dict( + type='GCN_7_1_1', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='coco_new', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead_7_4_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=['k']), + 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=['k']), + 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=['k']), + 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=['k']), + 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=['k']), + 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=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict( + interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2023-12-23 05:07:54,728 - pyskl - INFO - Set random seed to 756759293, deterministic: False +2023-12-23 05:07:56,094 - pyskl - INFO - 20484 videos remain after valid thresholding +2023-12-23 05:08:04,339 - pyskl - INFO - 8521 videos remain after valid thresholding +2023-12-23 05:08:04,340 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2 +2023-12-23 05:08:04,340 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-12-23 05:08:04,340 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2023-12-23 05:08:04,341 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2 by HardDiskBackend. +2023-12-23 05:09:06,091 - pyskl - INFO - Epoch [1][100/1281] lr: 2.500e-02, eta: 1 day, 8:56:20, time: 0.617, data_time: 0.180, memory: 4120, top1_acc: 0.0781, top5_acc: 0.2625, loss_cls: 5.1300, loss: 5.1300 +2023-12-23 05:09:48,711 - pyskl - INFO - Epoch [1][200/1281] lr: 2.500e-02, eta: 1 day, 3:49:24, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.1100, top5_acc: 0.3700, loss_cls: 4.8917, loss: 4.8917 +2023-12-23 05:10:31,567 - pyskl - INFO - Epoch [1][300/1281] lr: 2.500e-02, eta: 1 day, 2:09:07, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.1350, top5_acc: 0.4231, loss_cls: 4.7353, loss: 4.7353 +2023-12-23 05:11:14,627 - pyskl - INFO - Epoch [1][400/1281] lr: 2.500e-02, eta: 1 day, 1:20:13, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.1556, top5_acc: 0.4612, loss_cls: 4.5297, loss: 4.5297 +2023-12-23 05:11:57,459 - pyskl - INFO - Epoch [1][500/1281] lr: 2.500e-02, eta: 1 day, 0:49:10, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.1919, top5_acc: 0.5375, loss_cls: 4.2819, loss: 4.2819 +2023-12-23 05:12:40,068 - pyskl - INFO - Epoch [1][600/1281] lr: 2.500e-02, eta: 1 day, 0:27:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.2225, top5_acc: 0.5706, loss_cls: 4.1648, loss: 4.1648 +2023-12-23 05:13:22,620 - pyskl - INFO - Epoch [1][700/1281] lr: 2.500e-02, eta: 1 day, 0:10:46, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.2444, top5_acc: 0.6100, loss_cls: 3.8970, loss: 3.8970 +2023-12-23 05:14:05,138 - pyskl - INFO - Epoch [1][800/1281] lr: 2.500e-02, eta: 23:58:15, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.2669, top5_acc: 0.6531, loss_cls: 3.7223, loss: 3.7223 +2023-12-23 05:14:47,708 - pyskl - INFO - Epoch [1][900/1281] lr: 2.500e-02, eta: 23:48:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.2731, top5_acc: 0.6706, loss_cls: 3.7068, loss: 3.7068 +2023-12-23 05:15:30,190 - pyskl - INFO - Epoch [1][1000/1281] lr: 2.500e-02, eta: 23:40:21, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.2981, top5_acc: 0.6963, loss_cls: 3.5211, loss: 3.5211 +2023-12-23 05:16:05,758 - pyskl - INFO - Epoch [1][1100/1281] lr: 2.500e-02, eta: 23:13:30, time: 0.356, data_time: 0.000, memory: 4120, top1_acc: 0.3331, top5_acc: 0.7188, loss_cls: 3.3884, loss: 3.3884 +2023-12-23 05:16:38,515 - pyskl - INFO - Epoch [1][1200/1281] lr: 2.500e-02, eta: 22:43:35, time: 0.328, data_time: 0.000, memory: 4120, top1_acc: 0.3362, top5_acc: 0.7450, loss_cls: 3.3069, loss: 3.3069 +2023-12-23 05:17:14,903 - pyskl - INFO - Saving checkpoint at 1 epochs +2023-12-23 05:18:28,202 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 05:18:28,256 - pyskl - INFO - +top1_acc 0.3542 +top5_acc 0.7700 +2023-12-23 05:18:28,256 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 05:18:28,264 - pyskl - INFO - +mean_acc 0.2009 +2023-12-23 05:18:28,435 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2023-12-23 05:18:28,435 - pyskl - INFO - Best top1_acc is 0.3542 at 1 epoch. +2023-12-23 05:18:28,437 - pyskl - INFO - Epoch(val) [1][533] top1_acc: 0.3542, top5_acc: 0.7700, mean_class_accuracy: 0.2009 +2023-12-23 05:19:28,972 - pyskl - INFO - Epoch [2][100/1281] lr: 2.500e-02, eta: 22:03:06, time: 0.605, data_time: 0.179, memory: 4120, top1_acc: 0.3856, top5_acc: 0.7812, loss_cls: 3.0956, loss: 3.0956 +2023-12-23 05:20:11,648 - pyskl - INFO - Epoch [2][200/1281] lr: 2.500e-02, eta: 22:04:41, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.3819, top5_acc: 0.7869, loss_cls: 3.0846, loss: 3.0846 +2023-12-23 05:20:54,176 - pyskl - INFO - Epoch [2][300/1281] lr: 2.500e-02, eta: 22:05:40, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.4075, top5_acc: 0.8037, loss_cls: 2.9802, loss: 2.9802 +2023-12-23 05:21:36,745 - pyskl - INFO - Epoch [2][400/1281] lr: 2.500e-02, eta: 22:06:33, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.4238, top5_acc: 0.8387, loss_cls: 2.8375, loss: 2.8375 +2023-12-23 05:22:19,348 - pyskl - INFO - Epoch [2][500/1281] lr: 2.499e-02, eta: 22:07:18, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.4350, top5_acc: 0.8550, loss_cls: 2.7171, loss: 2.7171 +2023-12-23 05:23:01,931 - pyskl - INFO - Epoch [2][600/1281] lr: 2.499e-02, eta: 22:07:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.4431, top5_acc: 0.8369, loss_cls: 2.7291, loss: 2.7291 +2023-12-23 05:23:44,783 - pyskl - INFO - Epoch [2][700/1281] lr: 2.499e-02, eta: 22:08:44, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.4350, top5_acc: 0.8531, loss_cls: 2.6374, loss: 2.6374 +2023-12-23 05:24:27,851 - pyskl - INFO - Epoch [2][800/1281] lr: 2.499e-02, eta: 22:09:46, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.4925, top5_acc: 0.8788, loss_cls: 2.3922, loss: 2.3922 +2023-12-23 05:25:10,640 - pyskl - INFO - Epoch [2][900/1281] lr: 2.499e-02, eta: 22:10:15, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.4881, top5_acc: 0.8856, loss_cls: 2.3608, loss: 2.3608 +2023-12-23 05:25:53,181 - pyskl - INFO - Epoch [2][1000/1281] lr: 2.499e-02, eta: 22:10:16, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.4988, top5_acc: 0.8831, loss_cls: 2.3353, loss: 2.3353 +2023-12-23 05:26:29,887 - pyskl - INFO - Epoch [2][1100/1281] lr: 2.499e-02, eta: 22:02:30, time: 0.367, data_time: 0.000, memory: 4120, top1_acc: 0.5150, top5_acc: 0.8919, loss_cls: 2.2409, loss: 2.2409 +2023-12-23 05:27:01,770 - pyskl - INFO - Epoch [2][1200/1281] lr: 2.499e-02, eta: 21:49:08, time: 0.319, data_time: 0.000, memory: 4120, top1_acc: 0.4975, top5_acc: 0.8950, loss_cls: 2.1701, loss: 2.1701 +2023-12-23 05:27:38,552 - pyskl - INFO - Saving checkpoint at 2 epochs +2023-12-23 05:28:50,437 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 05:28:50,503 - pyskl - INFO - +top1_acc 0.5092 +top5_acc 0.8872 +2023-12-23 05:28:50,503 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 05:28:50,511 - pyskl - INFO - +mean_acc 0.3337 +2023-12-23 05:28:50,516 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_1.pth was removed +2023-12-23 05:28:50,727 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2023-12-23 05:28:50,727 - pyskl - INFO - Best top1_acc is 0.5092 at 2 epoch. +2023-12-23 05:28:50,730 - pyskl - INFO - Epoch(val) [2][533] top1_acc: 0.5092, top5_acc: 0.8872, mean_class_accuracy: 0.3337 +2023-12-23 05:29:52,099 - pyskl - INFO - Epoch [3][100/1281] lr: 2.499e-02, eta: 21:31:46, time: 0.614, data_time: 0.179, memory: 4120, top1_acc: 0.5200, top5_acc: 0.8981, loss_cls: 2.0729, loss: 2.0729 +2023-12-23 05:30:36,257 - pyskl - INFO - Epoch [3][200/1281] lr: 2.499e-02, eta: 21:34:48, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.5487, top5_acc: 0.9087, loss_cls: 1.9525, loss: 1.9525 +2023-12-23 05:31:20,286 - pyskl - INFO - Epoch [3][300/1281] lr: 2.499e-02, eta: 21:37:26, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.5444, top5_acc: 0.9069, loss_cls: 1.9812, loss: 1.9812 +2023-12-23 05:32:03,789 - pyskl - INFO - Epoch [3][400/1281] lr: 2.499e-02, eta: 21:39:16, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.5519, top5_acc: 0.9137, loss_cls: 1.9235, loss: 1.9235 +2023-12-23 05:32:47,176 - pyskl - INFO - Epoch [3][500/1281] lr: 2.498e-02, eta: 21:40:50, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.5756, top5_acc: 0.9237, loss_cls: 1.8428, loss: 1.8428 +2023-12-23 05:33:30,564 - pyskl - INFO - Epoch [3][600/1281] lr: 2.498e-02, eta: 21:42:15, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.5437, top5_acc: 0.9187, loss_cls: 1.8424, loss: 1.8424 +2023-12-23 05:34:14,011 - pyskl - INFO - Epoch [3][700/1281] lr: 2.498e-02, eta: 21:43:35, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.5519, top5_acc: 0.9175, loss_cls: 1.8725, loss: 1.8725 +2023-12-23 05:34:57,403 - pyskl - INFO - Epoch [3][800/1281] lr: 2.498e-02, eta: 21:44:45, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.5787, top5_acc: 0.9119, loss_cls: 1.7458, loss: 1.7458 +2023-12-23 05:35:40,840 - pyskl - INFO - Epoch [3][900/1281] lr: 2.498e-02, eta: 21:45:51, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.5800, top5_acc: 0.9319, loss_cls: 1.7598, loss: 1.7598 +2023-12-23 05:36:24,325 - pyskl - INFO - Epoch [3][1000/1281] lr: 2.498e-02, eta: 21:46:53, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.5663, top5_acc: 0.9450, loss_cls: 1.6805, loss: 1.6805 +2023-12-23 05:37:01,747 - pyskl - INFO - Epoch [3][1100/1281] lr: 2.498e-02, eta: 21:42:38, time: 0.374, data_time: 0.000, memory: 4120, top1_acc: 0.5969, top5_acc: 0.9337, loss_cls: 1.6644, loss: 1.6644 +2023-12-23 05:37:33,381 - pyskl - INFO - Epoch [3][1200/1281] lr: 2.498e-02, eta: 21:33:44, time: 0.316, data_time: 0.000, memory: 4120, top1_acc: 0.5938, top5_acc: 0.9331, loss_cls: 1.6661, loss: 1.6661 +2023-12-23 05:38:10,465 - pyskl - INFO - Saving checkpoint at 3 epochs +2023-12-23 05:39:19,560 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 05:39:19,628 - pyskl - INFO - +top1_acc 0.5714 +top5_acc 0.9229 +2023-12-23 05:39:19,629 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 05:39:19,637 - pyskl - INFO - +mean_acc 0.4357 +2023-12-23 05:39:19,642 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_2.pth was removed +2023-12-23 05:39:19,859 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2023-12-23 05:39:19,859 - pyskl - INFO - Best top1_acc is 0.5714 at 3 epoch. +2023-12-23 05:39:19,862 - pyskl - INFO - Epoch(val) [3][533] top1_acc: 0.5714, top5_acc: 0.9229, mean_class_accuracy: 0.4357 +2023-12-23 05:40:20,235 - pyskl - INFO - Epoch [4][100/1281] lr: 2.497e-02, eta: 21:21:11, time: 0.604, data_time: 0.177, memory: 4120, top1_acc: 0.6231, top5_acc: 0.9444, loss_cls: 1.5216, loss: 1.5216 +2023-12-23 05:41:02,827 - pyskl - INFO - Epoch [4][200/1281] lr: 2.497e-02, eta: 21:21:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6169, top5_acc: 0.9506, loss_cls: 1.5180, loss: 1.5180 +2023-12-23 05:41:45,373 - pyskl - INFO - Epoch [4][300/1281] lr: 2.497e-02, eta: 21:22:25, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.6206, top5_acc: 0.9487, loss_cls: 1.4736, loss: 1.4736 +2023-12-23 05:42:27,967 - pyskl - INFO - Epoch [4][400/1281] lr: 2.497e-02, eta: 21:22:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6050, top5_acc: 0.9356, loss_cls: 1.5622, loss: 1.5622 +2023-12-23 05:43:10,698 - pyskl - INFO - Epoch [4][500/1281] lr: 2.497e-02, eta: 21:23:34, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.6275, top5_acc: 0.9531, loss_cls: 1.4353, loss: 1.4353 +2023-12-23 05:43:53,854 - pyskl - INFO - Epoch [4][600/1281] lr: 2.497e-02, eta: 21:24:23, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.6250, top5_acc: 0.9456, loss_cls: 1.4522, loss: 1.4522 +2023-12-23 05:44:36,877 - pyskl - INFO - Epoch [4][700/1281] lr: 2.497e-02, eta: 21:25:03, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.6444, top5_acc: 0.9444, loss_cls: 1.4183, loss: 1.4183 +2023-12-23 05:45:19,358 - pyskl - INFO - Epoch [4][800/1281] lr: 2.496e-02, eta: 21:25:18, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.6431, top5_acc: 0.9581, loss_cls: 1.3701, loss: 1.3701 +2023-12-23 05:46:02,034 - pyskl - INFO - Epoch [4][900/1281] lr: 2.496e-02, eta: 21:25:38, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.6262, top5_acc: 0.9519, loss_cls: 1.4263, loss: 1.4263 +2023-12-23 05:46:44,615 - pyskl - INFO - Epoch [4][1000/1281] lr: 2.496e-02, eta: 21:25:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6350, top5_acc: 0.9506, loss_cls: 1.4111, loss: 1.4111 +2023-12-23 05:47:22,809 - pyskl - INFO - Epoch [4][1100/1281] lr: 2.496e-02, eta: 21:23:17, time: 0.382, data_time: 0.000, memory: 4120, top1_acc: 0.6312, top5_acc: 0.9519, loss_cls: 1.4340, loss: 1.4340 +2023-12-23 05:47:53,270 - pyskl - INFO - Epoch [4][1200/1281] lr: 2.496e-02, eta: 21:16:00, time: 0.305, data_time: 0.000, memory: 4120, top1_acc: 0.6625, top5_acc: 0.9688, loss_cls: 1.3040, loss: 1.3040 +2023-12-23 05:48:30,058 - pyskl - INFO - Saving checkpoint at 4 epochs +2023-12-23 05:49:39,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 05:49:39,796 - pyskl - INFO - +top1_acc 0.6294 +top5_acc 0.9416 +2023-12-23 05:49:39,796 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 05:49:39,804 - pyskl - INFO - +mean_acc 0.4794 +2023-12-23 05:49:39,809 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_3.pth was removed +2023-12-23 05:49:40,002 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2023-12-23 05:49:40,002 - pyskl - INFO - Best top1_acc is 0.6294 at 4 epoch. +2023-12-23 05:49:40,005 - pyskl - INFO - Epoch(val) [4][533] top1_acc: 0.6294, top5_acc: 0.9416, mean_class_accuracy: 0.4794 +2023-12-23 05:50:42,377 - pyskl - INFO - Epoch [5][100/1281] lr: 2.495e-02, eta: 21:07:48, time: 0.624, data_time: 0.193, memory: 4120, top1_acc: 0.6600, top5_acc: 0.9669, loss_cls: 1.2930, loss: 1.2930 +2023-12-23 05:51:25,180 - pyskl - INFO - Epoch [5][200/1281] lr: 2.495e-02, eta: 21:08:21, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.6756, top5_acc: 0.9613, loss_cls: 1.2534, loss: 1.2534 +2023-12-23 05:52:07,742 - pyskl - INFO - Epoch [5][300/1281] lr: 2.495e-02, eta: 21:08:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6675, top5_acc: 0.9563, loss_cls: 1.2987, loss: 1.2987 +2023-12-23 05:52:50,261 - pyskl - INFO - Epoch [5][400/1281] lr: 2.495e-02, eta: 21:09:01, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.6950, top5_acc: 0.9663, loss_cls: 1.2519, loss: 1.2519 +2023-12-23 05:53:32,881 - pyskl - INFO - Epoch [5][500/1281] lr: 2.495e-02, eta: 21:09:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6669, top5_acc: 0.9625, loss_cls: 1.2725, loss: 1.2725 +2023-12-23 05:54:15,415 - pyskl - INFO - Epoch [5][600/1281] lr: 2.495e-02, eta: 21:09:35, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.6663, top5_acc: 0.9650, loss_cls: 1.2382, loss: 1.2382 +2023-12-23 05:54:58,039 - pyskl - INFO - Epoch [5][700/1281] lr: 2.494e-02, eta: 21:09:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6512, top5_acc: 0.9600, loss_cls: 1.3125, loss: 1.3125 +2023-12-23 05:55:40,606 - pyskl - INFO - Epoch [5][800/1281] lr: 2.494e-02, eta: 21:10:03, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6756, top5_acc: 0.9744, loss_cls: 1.2222, loss: 1.2222 +2023-12-23 05:56:23,169 - pyskl - INFO - Epoch [5][900/1281] lr: 2.494e-02, eta: 21:10:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6781, top5_acc: 0.9619, loss_cls: 1.2395, loss: 1.2395 +2023-12-23 05:57:06,206 - pyskl - INFO - Epoch [5][1000/1281] lr: 2.494e-02, eta: 21:10:35, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.6519, top5_acc: 0.9706, loss_cls: 1.2400, loss: 1.2400 +2023-12-23 05:57:43,524 - pyskl - INFO - Epoch [5][1100/1281] lr: 2.494e-02, eta: 21:08:05, time: 0.373, data_time: 0.001, memory: 4120, top1_acc: 0.6850, top5_acc: 0.9650, loss_cls: 1.1862, loss: 1.1862 +2023-12-23 05:58:15,410 - pyskl - INFO - Epoch [5][1200/1281] lr: 2.493e-02, eta: 21:02:58, time: 0.319, data_time: 0.000, memory: 4120, top1_acc: 0.6569, top5_acc: 0.9587, loss_cls: 1.2700, loss: 1.2700 +2023-12-23 05:58:52,161 - pyskl - INFO - Saving checkpoint at 5 epochs +2023-12-23 06:00:03,047 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 06:00:03,103 - pyskl - INFO - +top1_acc 0.6622 +top5_acc 0.9524 +2023-12-23 06:00:03,103 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 06:00:03,110 - pyskl - INFO - +mean_acc 0.5343 +2023-12-23 06:00:03,115 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_4.pth was removed +2023-12-23 06:00:03,308 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2023-12-23 06:00:03,309 - pyskl - INFO - Best top1_acc is 0.6622 at 5 epoch. +2023-12-23 06:00:03,312 - pyskl - INFO - Epoch(val) [5][533] top1_acc: 0.6622, top5_acc: 0.9524, mean_class_accuracy: 0.5343 +2023-12-23 06:01:03,361 - pyskl - INFO - Epoch [6][100/1281] lr: 2.493e-02, eta: 20:55:11, time: 0.600, data_time: 0.175, memory: 4120, top1_acc: 0.7169, top5_acc: 0.9756, loss_cls: 1.0916, loss: 1.0916 +2023-12-23 06:01:45,929 - pyskl - INFO - Epoch [6][200/1281] lr: 2.493e-02, eta: 20:55:27, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6856, top5_acc: 0.9675, loss_cls: 1.1635, loss: 1.1635 +2023-12-23 06:02:28,568 - pyskl - INFO - Epoch [6][300/1281] lr: 2.492e-02, eta: 20:55:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6850, top5_acc: 0.9663, loss_cls: 1.1829, loss: 1.1829 +2023-12-23 06:03:11,257 - pyskl - INFO - Epoch [6][400/1281] lr: 2.492e-02, eta: 20:55:58, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.6919, top5_acc: 0.9744, loss_cls: 1.1475, loss: 1.1475 +2023-12-23 06:03:54,225 - pyskl - INFO - Epoch [6][500/1281] lr: 2.492e-02, eta: 20:56:20, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.6856, top5_acc: 0.9688, loss_cls: 1.1559, loss: 1.1559 +2023-12-23 06:04:36,961 - pyskl - INFO - Epoch [6][600/1281] lr: 2.492e-02, eta: 20:56:33, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.6919, top5_acc: 0.9625, loss_cls: 1.1719, loss: 1.1719 +2023-12-23 06:05:19,552 - pyskl - INFO - Epoch [6][700/1281] lr: 2.492e-02, eta: 20:56:41, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6875, top5_acc: 0.9625, loss_cls: 1.1875, loss: 1.1875 +2023-12-23 06:06:02,102 - pyskl - INFO - Epoch [6][800/1281] lr: 2.491e-02, eta: 20:56:46, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.7037, top5_acc: 0.9731, loss_cls: 1.1286, loss: 1.1286 +2023-12-23 06:06:44,653 - pyskl - INFO - Epoch [6][900/1281] lr: 2.491e-02, eta: 20:56:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7081, top5_acc: 0.9769, loss_cls: 1.1273, loss: 1.1273 +2023-12-23 06:07:27,232 - pyskl - INFO - Epoch [6][1000/1281] lr: 2.491e-02, eta: 20:56:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.6913, top5_acc: 0.9650, loss_cls: 1.1711, loss: 1.1711 +2023-12-23 06:08:04,458 - pyskl - INFO - Epoch [6][1100/1281] lr: 2.491e-02, eta: 20:54:45, time: 0.372, data_time: 0.000, memory: 4120, top1_acc: 0.7194, top5_acc: 0.9706, loss_cls: 1.0798, loss: 1.0798 +2023-12-23 06:08:35,314 - pyskl - INFO - Epoch [6][1200/1281] lr: 2.490e-02, eta: 20:50:03, time: 0.309, data_time: 0.000, memory: 4120, top1_acc: 0.7081, top5_acc: 0.9738, loss_cls: 1.0880, loss: 1.0880 +2023-12-23 06:09:12,096 - pyskl - INFO - Saving checkpoint at 6 epochs +2023-12-23 06:10:23,052 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 06:10:23,118 - pyskl - INFO - +top1_acc 0.6692 +top5_acc 0.9562 +2023-12-23 06:10:23,119 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 06:10:23,130 - pyskl - INFO - +mean_acc 0.5602 +2023-12-23 06:10:23,136 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_5.pth was removed +2023-12-23 06:10:23,349 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2023-12-23 06:10:23,349 - pyskl - INFO - Best top1_acc is 0.6692 at 6 epoch. +2023-12-23 06:10:23,353 - pyskl - INFO - Epoch(val) [6][533] top1_acc: 0.6692, top5_acc: 0.9562, mean_class_accuracy: 0.5602 +2023-12-23 06:11:25,028 - pyskl - INFO - Epoch [7][100/1281] lr: 2.490e-02, eta: 20:44:08, time: 0.617, data_time: 0.190, memory: 4120, top1_acc: 0.6856, top5_acc: 0.9719, loss_cls: 1.1218, loss: 1.1218 +2023-12-23 06:12:07,617 - pyskl - INFO - Epoch [7][200/1281] lr: 2.490e-02, eta: 20:44:17, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7306, top5_acc: 0.9762, loss_cls: 1.0505, loss: 1.0505 +2023-12-23 06:12:50,186 - pyskl - INFO - Epoch [7][300/1281] lr: 2.489e-02, eta: 20:44:24, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7250, top5_acc: 0.9769, loss_cls: 1.0434, loss: 1.0434 +2023-12-23 06:13:32,790 - pyskl - INFO - Epoch [7][400/1281] lr: 2.489e-02, eta: 20:44:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7113, top5_acc: 0.9731, loss_cls: 1.1038, loss: 1.1038 +2023-12-23 06:14:15,463 - pyskl - INFO - Epoch [7][500/1281] lr: 2.489e-02, eta: 20:44:37, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7294, top5_acc: 0.9694, loss_cls: 1.0628, loss: 1.0628 +2023-12-23 06:14:57,985 - pyskl - INFO - Epoch [7][600/1281] lr: 2.489e-02, eta: 20:44:39, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.7225, top5_acc: 0.9819, loss_cls: 1.0171, loss: 1.0171 +2023-12-23 06:15:41,297 - pyskl - INFO - Epoch [7][700/1281] lr: 2.488e-02, eta: 20:44:57, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.7244, top5_acc: 0.9706, loss_cls: 1.0746, loss: 1.0746 +2023-12-23 06:16:24,943 - pyskl - INFO - Epoch [7][800/1281] lr: 2.488e-02, eta: 20:45:21, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.7137, top5_acc: 0.9681, loss_cls: 1.0814, loss: 1.0814 +2023-12-23 06:17:09,058 - pyskl - INFO - Epoch [7][900/1281] lr: 2.488e-02, eta: 20:45:54, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.7094, top5_acc: 0.9750, loss_cls: 1.0716, loss: 1.0716 +2023-12-23 06:17:52,763 - pyskl - INFO - Epoch [7][1000/1281] lr: 2.487e-02, eta: 20:46:16, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.7325, top5_acc: 0.9656, loss_cls: 1.0205, loss: 1.0205 +2023-12-23 06:18:30,810 - pyskl - INFO - Epoch [7][1100/1281] lr: 2.487e-02, eta: 20:44:39, time: 0.380, data_time: 0.000, memory: 4120, top1_acc: 0.7262, top5_acc: 0.9756, loss_cls: 1.0371, loss: 1.0371 +2023-12-23 06:19:01,628 - pyskl - INFO - Epoch [7][1200/1281] lr: 2.487e-02, eta: 20:40:34, time: 0.308, data_time: 0.000, memory: 4120, top1_acc: 0.7312, top5_acc: 0.9781, loss_cls: 1.0111, loss: 1.0111 +2023-12-23 06:19:38,447 - pyskl - INFO - Saving checkpoint at 7 epochs +2023-12-23 06:20:47,662 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 06:20:47,719 - pyskl - INFO - +top1_acc 0.7338 +top5_acc 0.9702 +2023-12-23 06:20:47,719 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 06:20:47,726 - pyskl - INFO - +mean_acc 0.5976 +2023-12-23 06:20:47,730 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_6.pth was removed +2023-12-23 06:20:47,927 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2023-12-23 06:20:47,927 - pyskl - INFO - Best top1_acc is 0.7338 at 7 epoch. +2023-12-23 06:20:47,932 - pyskl - INFO - Epoch(val) [7][533] top1_acc: 0.7338, top5_acc: 0.9702, mean_class_accuracy: 0.5976 +2023-12-23 06:21:48,658 - pyskl - INFO - Epoch [8][100/1281] lr: 2.486e-02, eta: 20:35:02, time: 0.607, data_time: 0.173, memory: 4120, top1_acc: 0.7388, top5_acc: 0.9769, loss_cls: 0.9887, loss: 0.9887 +2023-12-23 06:22:32,121 - pyskl - INFO - Epoch [8][200/1281] lr: 2.486e-02, eta: 20:35:21, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.7269, top5_acc: 0.9775, loss_cls: 1.0233, loss: 1.0233 +2023-12-23 06:23:16,187 - pyskl - INFO - Epoch [8][300/1281] lr: 2.486e-02, eta: 20:35:51, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.7388, top5_acc: 0.9775, loss_cls: 1.0093, loss: 1.0093 +2023-12-23 06:24:00,341 - pyskl - INFO - Epoch [8][400/1281] lr: 2.485e-02, eta: 20:36:21, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.7312, top5_acc: 0.9669, loss_cls: 1.0281, loss: 1.0281 +2023-12-23 06:24:43,724 - pyskl - INFO - Epoch [8][500/1281] lr: 2.485e-02, eta: 20:36:34, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7438, top5_acc: 0.9762, loss_cls: 0.9937, loss: 0.9937 +2023-12-23 06:25:27,198 - pyskl - INFO - Epoch [8][600/1281] lr: 2.485e-02, eta: 20:36:48, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.7469, top5_acc: 0.9794, loss_cls: 0.9662, loss: 0.9662 +2023-12-23 06:26:10,654 - pyskl - INFO - Epoch [8][700/1281] lr: 2.484e-02, eta: 20:37:00, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.7294, top5_acc: 0.9688, loss_cls: 1.0249, loss: 1.0249 +2023-12-23 06:26:54,111 - pyskl - INFO - Epoch [8][800/1281] lr: 2.484e-02, eta: 20:37:12, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.7619, top5_acc: 0.9838, loss_cls: 0.9242, loss: 0.9242 +2023-12-23 06:27:37,509 - pyskl - INFO - Epoch [8][900/1281] lr: 2.484e-02, eta: 20:37:21, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7350, top5_acc: 0.9781, loss_cls: 1.0147, loss: 1.0147 +2023-12-23 06:28:20,917 - pyskl - INFO - Epoch [8][1000/1281] lr: 2.483e-02, eta: 20:37:29, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7525, top5_acc: 0.9756, loss_cls: 0.9714, loss: 0.9714 +2023-12-23 06:29:00,492 - pyskl - INFO - Epoch [8][1100/1281] lr: 2.483e-02, eta: 20:36:27, time: 0.396, data_time: 0.000, memory: 4120, top1_acc: 0.7319, top5_acc: 0.9769, loss_cls: 0.9812, loss: 0.9812 +2023-12-23 06:29:30,435 - pyskl - INFO - Epoch [8][1200/1281] lr: 2.483e-02, eta: 20:32:33, time: 0.299, data_time: 0.000, memory: 4120, top1_acc: 0.7400, top5_acc: 0.9844, loss_cls: 0.9444, loss: 0.9444 +2023-12-23 06:30:07,742 - pyskl - INFO - Saving checkpoint at 8 epochs +2023-12-23 06:31:19,086 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 06:31:19,142 - pyskl - INFO - +top1_acc 0.6973 +top5_acc 0.9657 +2023-12-23 06:31:19,142 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 06:31:19,148 - pyskl - INFO - +mean_acc 0.5953 +2023-12-23 06:31:19,150 - pyskl - INFO - Epoch(val) [8][533] top1_acc: 0.6973, top5_acc: 0.9657, mean_class_accuracy: 0.5953 +2023-12-23 06:32:19,951 - pyskl - INFO - Epoch [9][100/1281] lr: 2.482e-02, eta: 20:27:35, time: 0.608, data_time: 0.174, memory: 4120, top1_acc: 0.7544, top5_acc: 0.9812, loss_cls: 0.9397, loss: 0.9397 +2023-12-23 06:33:03,309 - pyskl - INFO - Epoch [9][200/1281] lr: 2.482e-02, eta: 20:27:44, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7462, top5_acc: 0.9862, loss_cls: 0.9267, loss: 0.9267 +2023-12-23 06:33:46,657 - pyskl - INFO - Epoch [9][300/1281] lr: 2.481e-02, eta: 20:27:52, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.7388, top5_acc: 0.9806, loss_cls: 0.9914, loss: 0.9914 +2023-12-23 06:34:30,054 - pyskl - INFO - Epoch [9][400/1281] lr: 2.481e-02, eta: 20:27:59, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7581, top5_acc: 0.9825, loss_cls: 0.8951, loss: 0.8951 +2023-12-23 06:35:13,480 - pyskl - INFO - Epoch [9][500/1281] lr: 2.481e-02, eta: 20:28:07, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7538, top5_acc: 0.9775, loss_cls: 0.9693, loss: 0.9693 +2023-12-23 06:35:57,002 - pyskl - INFO - Epoch [9][600/1281] lr: 2.480e-02, eta: 20:28:14, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.7794, top5_acc: 0.9750, loss_cls: 0.9070, loss: 0.9070 +2023-12-23 06:36:40,918 - pyskl - INFO - Epoch [9][700/1281] lr: 2.480e-02, eta: 20:28:28, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.7712, top5_acc: 0.9812, loss_cls: 0.8973, loss: 0.8973 +2023-12-23 06:37:24,305 - pyskl - INFO - Epoch [9][800/1281] lr: 2.480e-02, eta: 20:28:32, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7394, top5_acc: 0.9788, loss_cls: 0.9631, loss: 0.9631 +2023-12-23 06:38:06,798 - pyskl - INFO - Epoch [9][900/1281] lr: 2.479e-02, eta: 20:28:20, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.7556, top5_acc: 0.9806, loss_cls: 0.9186, loss: 0.9186 +2023-12-23 06:38:49,469 - pyskl - INFO - Epoch [9][1000/1281] lr: 2.479e-02, eta: 20:28:11, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7488, top5_acc: 0.9775, loss_cls: 0.9412, loss: 0.9412 +2023-12-23 06:39:28,503 - pyskl - INFO - Epoch [9][1100/1281] lr: 2.479e-02, eta: 20:27:03, time: 0.390, data_time: 0.000, memory: 4120, top1_acc: 0.7644, top5_acc: 0.9769, loss_cls: 0.8893, loss: 0.8893 +2023-12-23 06:39:57,255 - pyskl - INFO - Epoch [9][1200/1281] lr: 2.478e-02, eta: 20:23:13, time: 0.287, data_time: 0.000, memory: 4120, top1_acc: 0.7731, top5_acc: 0.9844, loss_cls: 0.8615, loss: 0.8615 +2023-12-23 06:40:33,993 - pyskl - INFO - Saving checkpoint at 9 epochs +2023-12-23 06:41:41,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 06:41:41,554 - pyskl - INFO - +top1_acc 0.7095 +top5_acc 0.9725 +2023-12-23 06:41:41,554 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 06:41:41,560 - pyskl - INFO - +mean_acc 0.6143 +2023-12-23 06:41:41,561 - pyskl - INFO - Epoch(val) [9][533] top1_acc: 0.7095, top5_acc: 0.9725, mean_class_accuracy: 0.6143 +2023-12-23 06:42:41,504 - pyskl - INFO - Epoch [10][100/1281] lr: 2.477e-02, eta: 20:18:29, time: 0.599, data_time: 0.172, memory: 4120, top1_acc: 0.7638, top5_acc: 0.9825, loss_cls: 0.8895, loss: 0.8895 +2023-12-23 06:43:24,485 - pyskl - INFO - Epoch [10][200/1281] lr: 2.477e-02, eta: 20:18:26, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7775, top5_acc: 0.9831, loss_cls: 0.8646, loss: 0.8646 +2023-12-23 06:44:07,272 - pyskl - INFO - Epoch [10][300/1281] lr: 2.477e-02, eta: 20:18:20, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7594, top5_acc: 0.9869, loss_cls: 0.8903, loss: 0.8903 +2023-12-23 06:44:49,844 - pyskl - INFO - Epoch [10][400/1281] lr: 2.476e-02, eta: 20:18:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7388, top5_acc: 0.9838, loss_cls: 0.9437, loss: 0.9437 +2023-12-23 06:45:32,478 - pyskl - INFO - Epoch [10][500/1281] lr: 2.476e-02, eta: 20:18:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7550, top5_acc: 0.9812, loss_cls: 0.8993, loss: 0.8993 +2023-12-23 06:46:15,125 - pyskl - INFO - Epoch [10][600/1281] lr: 2.476e-02, eta: 20:17:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7650, top5_acc: 0.9806, loss_cls: 0.8854, loss: 0.8854 +2023-12-23 06:46:57,624 - pyskl - INFO - Epoch [10][700/1281] lr: 2.475e-02, eta: 20:17:39, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.7675, top5_acc: 0.9856, loss_cls: 0.8656, loss: 0.8656 +2023-12-23 06:47:40,161 - pyskl - INFO - Epoch [10][800/1281] lr: 2.475e-02, eta: 20:17:26, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.7669, top5_acc: 0.9775, loss_cls: 0.8999, loss: 0.8999 +2023-12-23 06:48:22,736 - pyskl - INFO - Epoch [10][900/1281] lr: 2.474e-02, eta: 20:17:14, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7756, top5_acc: 0.9862, loss_cls: 0.8501, loss: 0.8501 +2023-12-23 06:49:05,391 - pyskl - INFO - Epoch [10][1000/1281] lr: 2.474e-02, eta: 20:17:02, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7594, top5_acc: 0.9806, loss_cls: 0.9296, loss: 0.9296 +2023-12-23 06:49:46,535 - pyskl - INFO - Epoch [10][1100/1281] lr: 2.473e-02, eta: 20:16:29, time: 0.411, data_time: 0.000, memory: 4120, top1_acc: 0.7788, top5_acc: 0.9788, loss_cls: 0.8742, loss: 0.8742 +2023-12-23 06:50:13,543 - pyskl - INFO - Epoch [10][1200/1281] lr: 2.473e-02, eta: 20:12:35, time: 0.270, data_time: 0.001, memory: 4120, top1_acc: 0.7788, top5_acc: 0.9844, loss_cls: 0.8637, loss: 0.8637 +2023-12-23 06:50:50,487 - pyskl - INFO - Saving checkpoint at 10 epochs +2023-12-23 06:51:56,211 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 06:51:56,278 - pyskl - INFO - +top1_acc 0.7443 +top5_acc 0.9810 +2023-12-23 06:51:56,278 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 06:51:56,291 - pyskl - INFO - +mean_acc 0.6356 +2023-12-23 06:51:56,297 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_7.pth was removed +2023-12-23 06:51:56,524 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2023-12-23 06:51:56,524 - pyskl - INFO - Best top1_acc is 0.7443 at 10 epoch. +2023-12-23 06:51:56,527 - pyskl - INFO - Epoch(val) [10][533] top1_acc: 0.7443, top5_acc: 0.9810, mean_class_accuracy: 0.6356 +2023-12-23 06:52:57,245 - pyskl - INFO - Epoch [11][100/1281] lr: 2.472e-02, eta: 20:08:26, time: 0.607, data_time: 0.173, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9894, loss_cls: 0.7795, loss: 0.7795 +2023-12-23 06:53:40,684 - pyskl - INFO - Epoch [11][200/1281] lr: 2.472e-02, eta: 20:08:27, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7794, top5_acc: 0.9850, loss_cls: 0.8095, loss: 0.8095 +2023-12-23 06:54:24,060 - pyskl - INFO - Epoch [11][300/1281] lr: 2.471e-02, eta: 20:08:26, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7931, top5_acc: 0.9812, loss_cls: 0.7946, loss: 0.7946 +2023-12-23 06:55:07,508 - pyskl - INFO - Epoch [11][400/1281] lr: 2.471e-02, eta: 20:08:25, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7769, top5_acc: 0.9856, loss_cls: 0.8465, loss: 0.8465 +2023-12-23 06:55:51,150 - pyskl - INFO - Epoch [11][500/1281] lr: 2.471e-02, eta: 20:08:27, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.7588, top5_acc: 0.9800, loss_cls: 0.8857, loss: 0.8857 +2023-12-23 06:56:35,268 - pyskl - INFO - Epoch [11][600/1281] lr: 2.470e-02, eta: 20:08:34, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.7431, top5_acc: 0.9794, loss_cls: 0.9388, loss: 0.9388 +2023-12-23 06:57:19,276 - pyskl - INFO - Epoch [11][700/1281] lr: 2.470e-02, eta: 20:08:39, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.7731, top5_acc: 0.9825, loss_cls: 0.8240, loss: 0.8240 +2023-12-23 06:58:02,700 - pyskl - INFO - Epoch [11][800/1281] lr: 2.469e-02, eta: 20:08:35, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7831, top5_acc: 0.9894, loss_cls: 0.8149, loss: 0.8149 +2023-12-23 06:58:46,156 - pyskl - INFO - Epoch [11][900/1281] lr: 2.469e-02, eta: 20:08:31, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.7987, top5_acc: 0.9850, loss_cls: 0.7700, loss: 0.7700 +2023-12-23 06:59:29,593 - pyskl - INFO - Epoch [11][1000/1281] lr: 2.468e-02, eta: 20:08:27, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7731, top5_acc: 0.9875, loss_cls: 0.8574, loss: 0.8574 +2023-12-23 07:00:12,761 - pyskl - INFO - Epoch [11][1100/1281] lr: 2.468e-02, eta: 20:08:18, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.7775, top5_acc: 0.9825, loss_cls: 0.8489, loss: 0.8489 +2023-12-23 07:00:38,316 - pyskl - INFO - Epoch [11][1200/1281] lr: 2.467e-02, eta: 20:04:25, time: 0.256, data_time: 0.000, memory: 4120, top1_acc: 0.8044, top5_acc: 0.9844, loss_cls: 0.7956, loss: 0.7956 +2023-12-23 07:01:15,046 - pyskl - INFO - Saving checkpoint at 11 epochs +2023-12-23 07:02:20,238 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 07:02:20,303 - pyskl - INFO - +top1_acc 0.6788 +top5_acc 0.9586 +2023-12-23 07:02:20,303 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 07:02:20,312 - pyskl - INFO - +mean_acc 0.5481 +2023-12-23 07:02:20,316 - pyskl - INFO - Epoch(val) [11][533] top1_acc: 0.6788, top5_acc: 0.9586, mean_class_accuracy: 0.5481 +2023-12-23 07:03:23,988 - pyskl - INFO - Epoch [12][100/1281] lr: 2.467e-02, eta: 20:01:10, time: 0.637, data_time: 0.197, memory: 4120, top1_acc: 0.7744, top5_acc: 0.9850, loss_cls: 0.8439, loss: 0.8439 +2023-12-23 07:04:07,280 - pyskl - INFO - Epoch [12][200/1281] lr: 2.466e-02, eta: 20:01:04, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7863, top5_acc: 0.9856, loss_cls: 0.8035, loss: 0.8035 +2023-12-23 07:04:50,370 - pyskl - INFO - Epoch [12][300/1281] lr: 2.466e-02, eta: 20:00:55, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7875, top5_acc: 0.9850, loss_cls: 0.8205, loss: 0.8205 +2023-12-23 07:05:33,407 - pyskl - INFO - Epoch [12][400/1281] lr: 2.465e-02, eta: 20:00:45, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9862, loss_cls: 0.7581, loss: 0.7581 +2023-12-23 07:06:16,444 - pyskl - INFO - Epoch [12][500/1281] lr: 2.465e-02, eta: 20:00:35, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7844, top5_acc: 0.9856, loss_cls: 0.8282, loss: 0.8282 +2023-12-23 07:06:59,007 - pyskl - INFO - Epoch [12][600/1281] lr: 2.464e-02, eta: 20:00:18, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7919, top5_acc: 0.9906, loss_cls: 0.7873, loss: 0.7873 +2023-12-23 07:07:41,572 - pyskl - INFO - Epoch [12][700/1281] lr: 2.464e-02, eta: 20:00:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7981, top5_acc: 0.9881, loss_cls: 0.7828, loss: 0.7828 +2023-12-23 07:08:24,688 - pyskl - INFO - Epoch [12][800/1281] lr: 2.463e-02, eta: 19:59:51, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8144, top5_acc: 0.9844, loss_cls: 0.7661, loss: 0.7661 +2023-12-23 07:09:07,795 - pyskl - INFO - Epoch [12][900/1281] lr: 2.463e-02, eta: 19:59:40, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9838, loss_cls: 0.7720, loss: 0.7720 +2023-12-23 07:09:50,909 - pyskl - INFO - Epoch [12][1000/1281] lr: 2.462e-02, eta: 19:59:28, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8087, top5_acc: 0.9881, loss_cls: 0.7517, loss: 0.7517 +2023-12-23 07:10:32,674 - pyskl - INFO - Epoch [12][1100/1281] lr: 2.462e-02, eta: 19:59:01, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8025, top5_acc: 0.9819, loss_cls: 0.7995, loss: 0.7995 +2023-12-23 07:10:59,651 - pyskl - INFO - Epoch [12][1200/1281] lr: 2.461e-02, eta: 19:55:42, time: 0.270, data_time: 0.001, memory: 4120, top1_acc: 0.8050, top5_acc: 0.9825, loss_cls: 0.7639, loss: 0.7639 +2023-12-23 07:11:36,366 - pyskl - INFO - Saving checkpoint at 12 epochs +2023-12-23 07:12:41,100 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 07:12:41,158 - pyskl - INFO - +top1_acc 0.7883 +top5_acc 0.9833 +2023-12-23 07:12:41,158 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 07:12:41,166 - pyskl - INFO - +mean_acc 0.6952 +2023-12-23 07:12:41,170 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_10.pth was removed +2023-12-23 07:12:41,383 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2023-12-23 07:12:41,383 - pyskl - INFO - Best top1_acc is 0.7883 at 12 epoch. +2023-12-23 07:12:41,386 - pyskl - INFO - Epoch(val) [12][533] top1_acc: 0.7883, top5_acc: 0.9833, mean_class_accuracy: 0.6952 +2023-12-23 07:13:45,021 - pyskl - INFO - Epoch [13][100/1281] lr: 2.460e-02, eta: 19:52:36, time: 0.636, data_time: 0.207, memory: 4120, top1_acc: 0.8113, top5_acc: 0.9912, loss_cls: 0.7107, loss: 0.7107 +2023-12-23 07:14:29,396 - pyskl - INFO - Epoch [13][200/1281] lr: 2.460e-02, eta: 19:52:40, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.7987, top5_acc: 0.9869, loss_cls: 0.7852, loss: 0.7852 +2023-12-23 07:15:12,053 - pyskl - INFO - Epoch [13][300/1281] lr: 2.459e-02, eta: 19:52:23, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8206, top5_acc: 0.9850, loss_cls: 0.7344, loss: 0.7344 +2023-12-23 07:15:54,940 - pyskl - INFO - Epoch [13][400/1281] lr: 2.459e-02, eta: 19:52:09, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7987, top5_acc: 0.9906, loss_cls: 0.7559, loss: 0.7559 +2023-12-23 07:16:38,051 - pyskl - INFO - Epoch [13][500/1281] lr: 2.458e-02, eta: 19:51:57, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9900, loss_cls: 0.7385, loss: 0.7385 +2023-12-23 07:17:22,989 - pyskl - INFO - Epoch [13][600/1281] lr: 2.458e-02, eta: 19:52:04, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.8056, top5_acc: 0.9888, loss_cls: 0.7463, loss: 0.7463 +2023-12-23 07:18:06,284 - pyskl - INFO - Epoch [13][700/1281] lr: 2.457e-02, eta: 19:51:53, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.7887, top5_acc: 0.9844, loss_cls: 0.8261, loss: 0.8261 +2023-12-23 07:18:50,482 - pyskl - INFO - Epoch [13][800/1281] lr: 2.457e-02, eta: 19:51:52, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.7931, top5_acc: 0.9825, loss_cls: 0.7785, loss: 0.7785 +2023-12-23 07:19:34,144 - pyskl - INFO - Epoch [13][900/1281] lr: 2.456e-02, eta: 19:51:44, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.7781, top5_acc: 0.9862, loss_cls: 0.8302, loss: 0.8302 +2023-12-23 07:20:18,267 - pyskl - INFO - Epoch [13][1000/1281] lr: 2.455e-02, eta: 19:51:40, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9912, loss_cls: 0.7709, loss: 0.7709 +2023-12-23 07:21:00,590 - pyskl - INFO - Epoch [13][1100/1281] lr: 2.455e-02, eta: 19:51:17, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8019, top5_acc: 0.9881, loss_cls: 0.7566, loss: 0.7566 +2023-12-23 07:21:27,616 - pyskl - INFO - Epoch [13][1200/1281] lr: 2.454e-02, eta: 19:48:12, time: 0.270, data_time: 0.000, memory: 4120, top1_acc: 0.8013, top5_acc: 0.9906, loss_cls: 0.7691, loss: 0.7691 +2023-12-23 07:22:05,077 - pyskl - INFO - Saving checkpoint at 13 epochs +2023-12-23 07:23:14,545 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 07:23:14,605 - pyskl - INFO - +top1_acc 0.7821 +top5_acc 0.9826 +2023-12-23 07:23:14,605 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 07:23:14,612 - pyskl - INFO - +mean_acc 0.6885 +2023-12-23 07:23:14,614 - pyskl - INFO - Epoch(val) [13][533] top1_acc: 0.7821, top5_acc: 0.9826, mean_class_accuracy: 0.6885 +2023-12-23 07:24:16,372 - pyskl - INFO - Epoch [14][100/1281] lr: 2.453e-02, eta: 19:44:55, time: 0.618, data_time: 0.184, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9875, loss_cls: 0.7280, loss: 0.7280 +2023-12-23 07:24:59,520 - pyskl - INFO - Epoch [14][200/1281] lr: 2.453e-02, eta: 19:44:42, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9812, loss_cls: 0.7155, loss: 0.7155 +2023-12-23 07:25:42,734 - pyskl - INFO - Epoch [14][300/1281] lr: 2.452e-02, eta: 19:44:29, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9850, loss_cls: 0.7202, loss: 0.7202 +2023-12-23 07:26:26,045 - pyskl - INFO - Epoch [14][400/1281] lr: 2.452e-02, eta: 19:44:17, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8113, top5_acc: 0.9912, loss_cls: 0.7145, loss: 0.7145 +2023-12-23 07:27:09,533 - pyskl - INFO - Epoch [14][500/1281] lr: 2.451e-02, eta: 19:44:06, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.8169, top5_acc: 0.9881, loss_cls: 0.7163, loss: 0.7163 +2023-12-23 07:27:53,961 - pyskl - INFO - Epoch [14][600/1281] lr: 2.451e-02, eta: 19:44:04, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.8194, top5_acc: 0.9881, loss_cls: 0.7029, loss: 0.7029 +2023-12-23 07:28:37,911 - pyskl - INFO - Epoch [14][700/1281] lr: 2.450e-02, eta: 19:43:57, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9862, loss_cls: 0.6997, loss: 0.6997 +2023-12-23 07:29:22,181 - pyskl - INFO - Epoch [14][800/1281] lr: 2.449e-02, eta: 19:43:52, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.7956, top5_acc: 0.9875, loss_cls: 0.7601, loss: 0.7601 +2023-12-23 07:30:05,890 - pyskl - INFO - Epoch [14][900/1281] lr: 2.449e-02, eta: 19:43:42, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9844, loss_cls: 0.7250, loss: 0.7250 +2023-12-23 07:30:49,459 - pyskl - INFO - Epoch [14][1000/1281] lr: 2.448e-02, eta: 19:43:30, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.8013, top5_acc: 0.9919, loss_cls: 0.7247, loss: 0.7247 +2023-12-23 07:31:31,570 - pyskl - INFO - Epoch [14][1100/1281] lr: 2.448e-02, eta: 19:43:03, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9881, loss_cls: 0.7451, loss: 0.7451 +2023-12-23 07:31:57,632 - pyskl - INFO - Epoch [14][1200/1281] lr: 2.447e-02, eta: 19:40:00, time: 0.261, data_time: 0.001, memory: 4120, top1_acc: 0.7712, top5_acc: 0.9819, loss_cls: 0.8531, loss: 0.8531 +2023-12-23 07:32:34,959 - pyskl - INFO - Saving checkpoint at 14 epochs +2023-12-23 07:33:41,791 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 07:33:41,864 - pyskl - INFO - +top1_acc 0.7816 +top5_acc 0.9832 +2023-12-23 07:33:41,865 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 07:33:41,875 - pyskl - INFO - +mean_acc 0.6808 +2023-12-23 07:33:41,877 - pyskl - INFO - Epoch(val) [14][533] top1_acc: 0.7816, top5_acc: 0.9832, mean_class_accuracy: 0.6808 +2023-12-23 07:34:44,241 - pyskl - INFO - Epoch [15][100/1281] lr: 2.446e-02, eta: 19:36:58, time: 0.624, data_time: 0.198, memory: 4120, top1_acc: 0.8275, top5_acc: 0.9950, loss_cls: 0.6283, loss: 0.6283 +2023-12-23 07:35:27,133 - pyskl - INFO - Epoch [15][200/1281] lr: 2.445e-02, eta: 19:36:40, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9900, loss_cls: 0.6636, loss: 0.6636 +2023-12-23 07:36:10,226 - pyskl - INFO - Epoch [15][300/1281] lr: 2.445e-02, eta: 19:36:23, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8037, top5_acc: 0.9888, loss_cls: 0.7571, loss: 0.7571 +2023-12-23 07:36:53,380 - pyskl - INFO - Epoch [15][400/1281] lr: 2.444e-02, eta: 19:36:07, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8119, top5_acc: 0.9888, loss_cls: 0.7102, loss: 0.7102 +2023-12-23 07:37:36,992 - pyskl - INFO - Epoch [15][500/1281] lr: 2.444e-02, eta: 19:35:55, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9900, loss_cls: 0.7086, loss: 0.7086 +2023-12-23 07:38:19,575 - pyskl - INFO - Epoch [15][600/1281] lr: 2.443e-02, eta: 19:35:33, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9856, loss_cls: 0.7682, loss: 0.7682 +2023-12-23 07:39:02,623 - pyskl - INFO - Epoch [15][700/1281] lr: 2.442e-02, eta: 19:35:15, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9869, loss_cls: 0.7209, loss: 0.7209 +2023-12-23 07:39:47,358 - pyskl - INFO - Epoch [15][800/1281] lr: 2.442e-02, eta: 19:35:12, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9875, loss_cls: 0.7404, loss: 0.7404 +2023-12-23 07:40:31,995 - pyskl - INFO - Epoch [15][900/1281] lr: 2.441e-02, eta: 19:35:08, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9919, loss_cls: 0.7249, loss: 0.7249 +2023-12-23 07:41:16,222 - pyskl - INFO - Epoch [15][1000/1281] lr: 2.441e-02, eta: 19:35:00, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.8119, top5_acc: 0.9906, loss_cls: 0.7100, loss: 0.7100 +2023-12-23 07:41:59,737 - pyskl - INFO - Epoch [15][1100/1281] lr: 2.440e-02, eta: 19:34:45, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.8056, top5_acc: 0.9875, loss_cls: 0.7213, loss: 0.7213 +2023-12-23 07:42:25,014 - pyskl - INFO - Epoch [15][1200/1281] lr: 2.439e-02, eta: 19:31:44, time: 0.253, data_time: 0.000, memory: 4120, top1_acc: 0.8100, top5_acc: 0.9862, loss_cls: 0.7191, loss: 0.7191 +2023-12-23 07:43:02,537 - pyskl - INFO - Saving checkpoint at 15 epochs +2023-12-23 07:44:09,797 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 07:44:09,863 - pyskl - INFO - +top1_acc 0.7533 +top5_acc 0.9798 +2023-12-23 07:44:09,863 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 07:44:09,878 - pyskl - INFO - +mean_acc 0.6554 +2023-12-23 07:44:09,884 - pyskl - INFO - Epoch(val) [15][533] top1_acc: 0.7533, top5_acc: 0.9798, mean_class_accuracy: 0.6554 +2023-12-23 07:45:14,227 - pyskl - INFO - Epoch [16][100/1281] lr: 2.438e-02, eta: 19:29:08, time: 0.643, data_time: 0.206, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9894, loss_cls: 0.6680, loss: 0.6680 +2023-12-23 07:45:58,535 - pyskl - INFO - Epoch [16][200/1281] lr: 2.438e-02, eta: 19:29:01, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9888, loss_cls: 0.6343, loss: 0.6343 +2023-12-23 07:46:43,247 - pyskl - INFO - Epoch [16][300/1281] lr: 2.437e-02, eta: 19:28:56, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9850, loss_cls: 0.6565, loss: 0.6565 +2023-12-23 07:47:28,011 - pyskl - INFO - Epoch [16][400/1281] lr: 2.436e-02, eta: 19:28:52, time: 0.448, data_time: 0.000, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9944, loss_cls: 0.6174, loss: 0.6174 +2023-12-23 07:48:12,439 - pyskl - INFO - Epoch [16][500/1281] lr: 2.436e-02, eta: 19:28:45, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.8113, top5_acc: 0.9862, loss_cls: 0.7353, loss: 0.7353 +2023-12-23 07:48:55,137 - pyskl - INFO - Epoch [16][600/1281] lr: 2.435e-02, eta: 19:28:22, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8113, top5_acc: 0.9881, loss_cls: 0.7185, loss: 0.7185 +2023-12-23 07:49:38,126 - pyskl - INFO - Epoch [16][700/1281] lr: 2.434e-02, eta: 19:28:01, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9875, loss_cls: 0.6822, loss: 0.6822 +2023-12-23 07:50:21,270 - pyskl - INFO - Epoch [16][800/1281] lr: 2.434e-02, eta: 19:27:41, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9931, loss_cls: 0.6191, loss: 0.6191 +2023-12-23 07:51:04,403 - pyskl - INFO - Epoch [16][900/1281] lr: 2.433e-02, eta: 19:27:21, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8231, top5_acc: 0.9919, loss_cls: 0.6877, loss: 0.6877 +2023-12-23 07:51:48,308 - pyskl - INFO - Epoch [16][1000/1281] lr: 2.432e-02, eta: 19:27:08, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9912, loss_cls: 0.6926, loss: 0.6926 +2023-12-23 07:52:31,181 - pyskl - INFO - Epoch [16][1100/1281] lr: 2.432e-02, eta: 19:26:45, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9925, loss_cls: 0.6417, loss: 0.6417 +2023-12-23 07:52:55,968 - pyskl - INFO - Epoch [16][1200/1281] lr: 2.431e-02, eta: 19:23:50, time: 0.248, data_time: 0.000, memory: 4120, top1_acc: 0.8019, top5_acc: 0.9894, loss_cls: 0.7511, loss: 0.7511 +2023-12-23 07:53:33,619 - pyskl - INFO - Saving checkpoint at 16 epochs +2023-12-23 07:54:39,974 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 07:54:40,030 - pyskl - INFO - +top1_acc 0.7234 +top5_acc 0.9642 +2023-12-23 07:54:40,030 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 07:54:40,037 - pyskl - INFO - +mean_acc 0.6531 +2023-12-23 07:54:40,040 - pyskl - INFO - Epoch(val) [16][533] top1_acc: 0.7234, top5_acc: 0.9642, mean_class_accuracy: 0.6531 +2023-12-23 07:55:44,157 - pyskl - INFO - Epoch [17][100/1281] lr: 2.430e-02, eta: 19:21:18, time: 0.641, data_time: 0.201, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9900, loss_cls: 0.6283, loss: 0.6283 +2023-12-23 07:56:28,134 - pyskl - INFO - Epoch [17][200/1281] lr: 2.429e-02, eta: 19:21:05, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.8131, top5_acc: 0.9931, loss_cls: 0.6792, loss: 0.6792 +2023-12-23 07:57:13,166 - pyskl - INFO - Epoch [17][300/1281] lr: 2.428e-02, eta: 19:21:00, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9900, loss_cls: 0.6284, loss: 0.6284 +2023-12-23 07:57:57,729 - pyskl - INFO - Epoch [17][400/1281] lr: 2.428e-02, eta: 19:20:52, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9894, loss_cls: 0.6112, loss: 0.6112 +2023-12-23 07:58:41,065 - pyskl - INFO - Epoch [17][500/1281] lr: 2.427e-02, eta: 19:20:33, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9944, loss_cls: 0.6320, loss: 0.6320 +2023-12-23 07:59:24,264 - pyskl - INFO - Epoch [17][600/1281] lr: 2.426e-02, eta: 19:20:13, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9888, loss_cls: 0.6485, loss: 0.6485 +2023-12-23 08:00:07,352 - pyskl - INFO - Epoch [17][700/1281] lr: 2.426e-02, eta: 19:19:51, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9950, loss_cls: 0.6301, loss: 0.6301 +2023-12-23 08:00:52,244 - pyskl - INFO - Epoch [17][800/1281] lr: 2.425e-02, eta: 19:19:44, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9925, loss_cls: 0.6461, loss: 0.6461 +2023-12-23 08:01:37,104 - pyskl - INFO - Epoch [17][900/1281] lr: 2.424e-02, eta: 19:19:36, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8100, top5_acc: 0.9881, loss_cls: 0.7065, loss: 0.7065 +2023-12-23 08:02:22,240 - pyskl - INFO - Epoch [17][1000/1281] lr: 2.424e-02, eta: 19:19:30, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9900, loss_cls: 0.6979, loss: 0.6979 +2023-12-23 08:03:07,414 - pyskl - INFO - Epoch [17][1100/1281] lr: 2.423e-02, eta: 19:19:24, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9925, loss_cls: 0.6700, loss: 0.6700 +2023-12-23 08:03:30,910 - pyskl - INFO - Epoch [17][1200/1281] lr: 2.422e-02, eta: 19:16:28, time: 0.235, data_time: 0.001, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9925, loss_cls: 0.6188, loss: 0.6188 +2023-12-23 08:04:08,039 - pyskl - INFO - Saving checkpoint at 17 epochs +2023-12-23 08:05:11,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 08:05:11,844 - pyskl - INFO - +top1_acc 0.7831 +top5_acc 0.9797 +2023-12-23 08:05:11,845 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 08:05:11,864 - pyskl - INFO - +mean_acc 0.7036 +2023-12-23 08:05:11,868 - pyskl - INFO - Epoch(val) [17][533] top1_acc: 0.7831, top5_acc: 0.9797, mean_class_accuracy: 0.7036 +2023-12-23 08:06:17,200 - pyskl - INFO - Epoch [18][100/1281] lr: 2.421e-02, eta: 19:14:09, time: 0.653, data_time: 0.223, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9906, loss_cls: 0.6039, loss: 0.6039 +2023-12-23 08:07:00,616 - pyskl - INFO - Epoch [18][200/1281] lr: 2.420e-02, eta: 19:13:50, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9888, loss_cls: 0.6358, loss: 0.6358 +2023-12-23 08:07:43,954 - pyskl - INFO - Epoch [18][300/1281] lr: 2.419e-02, eta: 19:13:29, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9912, loss_cls: 0.6363, loss: 0.6363 +2023-12-23 08:08:26,981 - pyskl - INFO - Epoch [18][400/1281] lr: 2.419e-02, eta: 19:13:06, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9906, loss_cls: 0.6133, loss: 0.6133 +2023-12-23 08:09:11,547 - pyskl - INFO - Epoch [18][500/1281] lr: 2.418e-02, eta: 19:12:55, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9931, loss_cls: 0.6359, loss: 0.6359 +2023-12-23 08:09:56,780 - pyskl - INFO - Epoch [18][600/1281] lr: 2.417e-02, eta: 19:12:49, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9881, loss_cls: 0.6433, loss: 0.6433 +2023-12-23 08:10:41,724 - pyskl - INFO - Epoch [18][700/1281] lr: 2.417e-02, eta: 19:12:40, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9900, loss_cls: 0.6461, loss: 0.6461 +2023-12-23 08:11:25,062 - pyskl - INFO - Epoch [18][800/1281] lr: 2.416e-02, eta: 19:12:18, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9938, loss_cls: 0.6453, loss: 0.6453 +2023-12-23 08:12:08,220 - pyskl - INFO - Epoch [18][900/1281] lr: 2.415e-02, eta: 19:11:55, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9869, loss_cls: 0.6708, loss: 0.6708 +2023-12-23 08:12:52,523 - pyskl - INFO - Epoch [18][1000/1281] lr: 2.414e-02, eta: 19:11:41, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8294, top5_acc: 0.9894, loss_cls: 0.6673, loss: 0.6673 +2023-12-23 08:13:37,750 - pyskl - INFO - Epoch [18][1100/1281] lr: 2.414e-02, eta: 19:11:33, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9894, loss_cls: 0.6661, loss: 0.6661 +2023-12-23 08:14:02,548 - pyskl - INFO - Epoch [18][1200/1281] lr: 2.413e-02, eta: 19:08:54, time: 0.248, data_time: 0.001, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9850, loss_cls: 0.6984, loss: 0.6984 +2023-12-23 08:14:39,283 - pyskl - INFO - Saving checkpoint at 18 epochs +2023-12-23 08:15:44,572 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 08:15:44,641 - pyskl - INFO - +top1_acc 0.8072 +top5_acc 0.9881 +2023-12-23 08:15:44,642 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 08:15:44,652 - pyskl - INFO - +mean_acc 0.7240 +2023-12-23 08:15:44,664 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_12.pth was removed +2023-12-23 08:15:44,922 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2023-12-23 08:15:44,922 - pyskl - INFO - Best top1_acc is 0.8072 at 18 epoch. +2023-12-23 08:15:44,927 - pyskl - INFO - Epoch(val) [18][533] top1_acc: 0.8072, top5_acc: 0.9881, mean_class_accuracy: 0.7240 +2023-12-23 08:16:49,397 - pyskl - INFO - Epoch [19][100/1281] lr: 2.411e-02, eta: 19:06:32, time: 0.645, data_time: 0.206, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9950, loss_cls: 0.6244, loss: 0.6244 +2023-12-23 08:17:34,574 - pyskl - INFO - Epoch [19][200/1281] lr: 2.411e-02, eta: 19:06:24, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8400, top5_acc: 0.9944, loss_cls: 0.5997, loss: 0.5997 +2023-12-23 08:18:19,822 - pyskl - INFO - Epoch [19][300/1281] lr: 2.410e-02, eta: 19:06:16, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9938, loss_cls: 0.5943, loss: 0.5943 +2023-12-23 08:19:03,684 - pyskl - INFO - Epoch [19][400/1281] lr: 2.409e-02, eta: 19:05:58, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9950, loss_cls: 0.5832, loss: 0.5832 +2023-12-23 08:19:46,972 - pyskl - INFO - Epoch [19][500/1281] lr: 2.408e-02, eta: 19:05:35, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9925, loss_cls: 0.6094, loss: 0.6094 +2023-12-23 08:20:30,853 - pyskl - INFO - Epoch [19][600/1281] lr: 2.408e-02, eta: 19:05:16, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8381, top5_acc: 0.9938, loss_cls: 0.6373, loss: 0.6373 +2023-12-23 08:21:13,791 - pyskl - INFO - Epoch [19][700/1281] lr: 2.407e-02, eta: 19:04:51, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9881, loss_cls: 0.6742, loss: 0.6742 +2023-12-23 08:21:57,248 - pyskl - INFO - Epoch [19][800/1281] lr: 2.406e-02, eta: 19:04:29, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9881, loss_cls: 0.6498, loss: 0.6498 +2023-12-23 08:22:40,469 - pyskl - INFO - Epoch [19][900/1281] lr: 2.405e-02, eta: 19:04:05, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9888, loss_cls: 0.5830, loss: 0.5830 +2023-12-23 08:23:23,843 - pyskl - INFO - Epoch [19][1000/1281] lr: 2.405e-02, eta: 19:03:42, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9888, loss_cls: 0.7084, loss: 0.7084 +2023-12-23 08:24:07,386 - pyskl - INFO - Epoch [19][1100/1281] lr: 2.404e-02, eta: 19:03:20, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9862, loss_cls: 0.6911, loss: 0.6911 +2023-12-23 08:24:31,907 - pyskl - INFO - Epoch [19][1200/1281] lr: 2.403e-02, eta: 19:00:46, time: 0.245, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9944, loss_cls: 0.6002, loss: 0.6002 +2023-12-23 08:25:07,171 - pyskl - INFO - Saving checkpoint at 19 epochs +2023-12-23 08:26:07,860 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 08:26:07,939 - pyskl - INFO - +top1_acc 0.8100 +top5_acc 0.9843 +2023-12-23 08:26:07,939 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 08:26:07,947 - pyskl - INFO - +mean_acc 0.7399 +2023-12-23 08:26:07,952 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_18.pth was removed +2023-12-23 08:26:08,203 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2023-12-23 08:26:08,203 - pyskl - INFO - Best top1_acc is 0.8100 at 19 epoch. +2023-12-23 08:26:08,207 - pyskl - INFO - Epoch(val) [19][533] top1_acc: 0.8100, top5_acc: 0.9843, mean_class_accuracy: 0.7399 +2023-12-23 08:27:15,405 - pyskl - INFO - Epoch [20][100/1281] lr: 2.402e-02, eta: 18:58:47, time: 0.672, data_time: 0.230, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9944, loss_cls: 0.5587, loss: 0.5587 +2023-12-23 08:28:00,729 - pyskl - INFO - Epoch [20][200/1281] lr: 2.401e-02, eta: 18:58:38, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9944, loss_cls: 0.5736, loss: 0.5736 +2023-12-23 08:28:45,721 - pyskl - INFO - Epoch [20][300/1281] lr: 2.400e-02, eta: 18:58:26, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9969, loss_cls: 0.5960, loss: 0.5960 +2023-12-23 08:29:29,756 - pyskl - INFO - Epoch [20][400/1281] lr: 2.399e-02, eta: 18:58:07, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9894, loss_cls: 0.6362, loss: 0.6362 +2023-12-23 08:30:14,725 - pyskl - INFO - Epoch [20][500/1281] lr: 2.398e-02, eta: 18:57:54, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9950, loss_cls: 0.5734, loss: 0.5734 +2023-12-23 08:30:59,865 - pyskl - INFO - Epoch [20][600/1281] lr: 2.398e-02, eta: 18:57:43, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9944, loss_cls: 0.5826, loss: 0.5826 +2023-12-23 08:31:43,311 - pyskl - INFO - Epoch [20][700/1281] lr: 2.397e-02, eta: 18:57:19, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9900, loss_cls: 0.6156, loss: 0.6156 +2023-12-23 08:32:26,869 - pyskl - INFO - Epoch [20][800/1281] lr: 2.396e-02, eta: 18:56:57, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9931, loss_cls: 0.6451, loss: 0.6451 +2023-12-23 08:33:10,005 - pyskl - INFO - Epoch [20][900/1281] lr: 2.395e-02, eta: 18:56:31, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9912, loss_cls: 0.5790, loss: 0.5790 +2023-12-23 08:33:52,904 - pyskl - INFO - Epoch [20][1000/1281] lr: 2.394e-02, eta: 18:56:03, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9938, loss_cls: 0.5732, loss: 0.5732 +2023-12-23 08:34:36,262 - pyskl - INFO - Epoch [20][1100/1281] lr: 2.393e-02, eta: 18:55:39, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9919, loss_cls: 0.5805, loss: 0.5805 +2023-12-23 08:35:03,330 - pyskl - INFO - Epoch [20][1200/1281] lr: 2.393e-02, eta: 18:53:28, time: 0.271, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9888, loss_cls: 0.6064, loss: 0.6064 +2023-12-23 08:35:37,513 - pyskl - INFO - Saving checkpoint at 20 epochs +2023-12-23 08:36:40,728 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 08:36:40,809 - pyskl - INFO - +top1_acc 0.8296 +top5_acc 0.9879 +2023-12-23 08:36:40,809 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 08:36:40,818 - pyskl - INFO - +mean_acc 0.7646 +2023-12-23 08:36:40,822 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_19.pth was removed +2023-12-23 08:36:41,056 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. +2023-12-23 08:36:41,056 - pyskl - INFO - Best top1_acc is 0.8296 at 20 epoch. +2023-12-23 08:36:41,060 - pyskl - INFO - Epoch(val) [20][533] top1_acc: 0.8296, top5_acc: 0.9879, mean_class_accuracy: 0.7646 +2023-12-23 08:37:47,259 - pyskl - INFO - Epoch [21][100/1281] lr: 2.391e-02, eta: 18:51:24, time: 0.662, data_time: 0.232, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9906, loss_cls: 0.5875, loss: 0.5875 +2023-12-23 08:38:30,646 - pyskl - INFO - Epoch [21][200/1281] lr: 2.390e-02, eta: 18:51:00, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8381, top5_acc: 0.9950, loss_cls: 0.6072, loss: 0.6072 +2023-12-23 08:39:13,973 - pyskl - INFO - Epoch [21][300/1281] lr: 2.389e-02, eta: 18:50:36, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9950, loss_cls: 0.5991, loss: 0.5991 +2023-12-23 08:39:57,209 - pyskl - INFO - Epoch [21][400/1281] lr: 2.389e-02, eta: 18:50:10, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9900, loss_cls: 0.6084, loss: 0.6084 +2023-12-23 08:40:41,370 - pyskl - INFO - Epoch [21][500/1281] lr: 2.388e-02, eta: 18:49:51, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9881, loss_cls: 0.6183, loss: 0.6183 +2023-12-23 08:41:25,056 - pyskl - INFO - Epoch [21][600/1281] lr: 2.387e-02, eta: 18:49:28, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9912, loss_cls: 0.5678, loss: 0.5678 +2023-12-23 08:42:08,065 - pyskl - INFO - Epoch [21][700/1281] lr: 2.386e-02, eta: 18:49:01, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9950, loss_cls: 0.6154, loss: 0.6154 +2023-12-23 08:42:52,425 - pyskl - INFO - Epoch [21][800/1281] lr: 2.385e-02, eta: 18:48:42, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9956, loss_cls: 0.6108, loss: 0.6108 +2023-12-23 08:43:37,446 - pyskl - INFO - Epoch [21][900/1281] lr: 2.384e-02, eta: 18:48:27, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9912, loss_cls: 0.6142, loss: 0.6142 +2023-12-23 08:44:21,427 - pyskl - INFO - Epoch [21][1000/1281] lr: 2.383e-02, eta: 18:48:05, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9950, loss_cls: 0.5540, loss: 0.5540 +2023-12-23 08:45:05,191 - pyskl - INFO - Epoch [21][1100/1281] lr: 2.383e-02, eta: 18:47:42, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9900, loss_cls: 0.6727, loss: 0.6727 +2023-12-23 08:45:33,136 - pyskl - INFO - Epoch [21][1200/1281] lr: 2.382e-02, eta: 18:45:42, time: 0.279, data_time: 0.001, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9919, loss_cls: 0.6193, loss: 0.6193 +2023-12-23 08:46:06,570 - pyskl - INFO - Saving checkpoint at 21 epochs +2023-12-23 08:47:07,593 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 08:47:07,670 - pyskl - INFO - +top1_acc 0.7952 +top5_acc 0.9822 +2023-12-23 08:47:07,670 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 08:47:07,686 - pyskl - INFO - +mean_acc 0.7165 +2023-12-23 08:47:07,694 - pyskl - INFO - Epoch(val) [21][533] top1_acc: 0.7952, top5_acc: 0.9822, mean_class_accuracy: 0.7165 +2023-12-23 08:48:12,444 - pyskl - INFO - Epoch [22][100/1281] lr: 2.380e-02, eta: 18:43:31, time: 0.647, data_time: 0.217, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9938, loss_cls: 0.6153, loss: 0.6153 +2023-12-23 08:48:56,341 - pyskl - INFO - Epoch [22][200/1281] lr: 2.379e-02, eta: 18:43:09, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9950, loss_cls: 0.5333, loss: 0.5333 +2023-12-23 08:49:39,604 - pyskl - INFO - Epoch [22][300/1281] lr: 2.378e-02, eta: 18:42:43, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9950, loss_cls: 0.5302, loss: 0.5302 +2023-12-23 08:50:22,683 - pyskl - INFO - Epoch [22][400/1281] lr: 2.378e-02, eta: 18:42:16, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9938, loss_cls: 0.5170, loss: 0.5170 +2023-12-23 08:51:05,792 - pyskl - INFO - Epoch [22][500/1281] lr: 2.377e-02, eta: 18:41:49, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9919, loss_cls: 0.5691, loss: 0.5691 +2023-12-23 08:51:49,490 - pyskl - INFO - Epoch [22][600/1281] lr: 2.376e-02, eta: 18:41:25, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9944, loss_cls: 0.5918, loss: 0.5918 +2023-12-23 08:52:32,813 - pyskl - INFO - Epoch [22][700/1281] lr: 2.375e-02, eta: 18:40:58, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9925, loss_cls: 0.5960, loss: 0.5960 +2023-12-23 08:53:16,070 - pyskl - INFO - Epoch [22][800/1281] lr: 2.374e-02, eta: 18:40:32, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9925, loss_cls: 0.5648, loss: 0.5648 +2023-12-23 08:54:01,005 - pyskl - INFO - Epoch [22][900/1281] lr: 2.373e-02, eta: 18:40:15, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9925, loss_cls: 0.5929, loss: 0.5929 +2023-12-23 08:54:45,271 - pyskl - INFO - Epoch [22][1000/1281] lr: 2.372e-02, eta: 18:39:54, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9931, loss_cls: 0.6045, loss: 0.6045 +2023-12-23 08:55:29,598 - pyskl - INFO - Epoch [22][1100/1281] lr: 2.371e-02, eta: 18:39:33, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9856, loss_cls: 0.6219, loss: 0.6219 +2023-12-23 08:55:57,045 - pyskl - INFO - Epoch [22][1200/1281] lr: 2.370e-02, eta: 18:37:33, time: 0.274, data_time: 0.001, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9875, loss_cls: 0.6555, loss: 0.6555 +2023-12-23 08:56:31,029 - pyskl - INFO - Saving checkpoint at 22 epochs +2023-12-23 08:57:34,735 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 08:57:34,799 - pyskl - INFO - +top1_acc 0.8126 +top5_acc 0.9877 +2023-12-23 08:57:34,799 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 08:57:34,807 - pyskl - INFO - +mean_acc 0.7287 +2023-12-23 08:57:34,809 - pyskl - INFO - Epoch(val) [22][533] top1_acc: 0.8126, top5_acc: 0.9877, mean_class_accuracy: 0.7287 +2023-12-23 08:58:40,322 - pyskl - INFO - Epoch [23][100/1281] lr: 2.369e-02, eta: 18:35:30, time: 0.655, data_time: 0.223, memory: 4120, top1_acc: 0.8500, top5_acc: 0.9944, loss_cls: 0.5341, loss: 0.5341 +2023-12-23 08:59:23,139 - pyskl - INFO - Epoch [23][200/1281] lr: 2.368e-02, eta: 18:35:01, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9969, loss_cls: 0.5160, loss: 0.5160 +2023-12-23 09:00:06,286 - pyskl - INFO - Epoch [23][300/1281] lr: 2.367e-02, eta: 18:34:33, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9981, loss_cls: 0.5208, loss: 0.5208 +2023-12-23 09:00:50,069 - pyskl - INFO - Epoch [23][400/1281] lr: 2.366e-02, eta: 18:34:09, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9944, loss_cls: 0.5835, loss: 0.5835 +2023-12-23 09:01:33,339 - pyskl - INFO - Epoch [23][500/1281] lr: 2.365e-02, eta: 18:33:42, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9900, loss_cls: 0.5340, loss: 0.5340 +2023-12-23 09:02:16,666 - pyskl - INFO - Epoch [23][600/1281] lr: 2.364e-02, eta: 18:33:15, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9894, loss_cls: 0.5793, loss: 0.5793 +2023-12-23 09:02:59,911 - pyskl - INFO - Epoch [23][700/1281] lr: 2.363e-02, eta: 18:32:47, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9931, loss_cls: 0.5871, loss: 0.5871 +2023-12-23 09:03:42,637 - pyskl - INFO - Epoch [23][800/1281] lr: 2.362e-02, eta: 18:32:17, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9919, loss_cls: 0.5681, loss: 0.5681 +2023-12-23 09:04:25,790 - pyskl - INFO - Epoch [23][900/1281] lr: 2.361e-02, eta: 18:31:48, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9956, loss_cls: 0.5778, loss: 0.5778 +2023-12-23 09:05:10,275 - pyskl - INFO - Epoch [23][1000/1281] lr: 2.360e-02, eta: 18:31:27, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9925, loss_cls: 0.5858, loss: 0.5858 +2023-12-23 09:05:55,478 - pyskl - INFO - Epoch [23][1100/1281] lr: 2.359e-02, eta: 18:31:10, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9925, loss_cls: 0.5868, loss: 0.5868 +2023-12-23 09:06:23,420 - pyskl - INFO - Epoch [23][1200/1281] lr: 2.359e-02, eta: 18:29:17, time: 0.279, data_time: 0.001, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9925, loss_cls: 0.5556, loss: 0.5556 +2023-12-23 09:06:56,715 - pyskl - INFO - Saving checkpoint at 23 epochs +2023-12-23 09:07:56,722 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 09:07:56,784 - pyskl - INFO - +top1_acc 0.8086 +top5_acc 0.9878 +2023-12-23 09:07:56,785 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 09:07:56,803 - pyskl - INFO - +mean_acc 0.7314 +2023-12-23 09:07:56,811 - pyskl - INFO - Epoch(val) [23][533] top1_acc: 0.8086, top5_acc: 0.9878, mean_class_accuracy: 0.7314 +2023-12-23 09:09:04,868 - pyskl - INFO - Epoch [24][100/1281] lr: 2.357e-02, eta: 18:27:30, time: 0.680, data_time: 0.231, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9956, loss_cls: 0.5491, loss: 0.5491 +2023-12-23 09:09:50,014 - pyskl - INFO - Epoch [24][200/1281] lr: 2.356e-02, eta: 18:27:13, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9950, loss_cls: 0.5529, loss: 0.5529 +2023-12-23 09:10:34,542 - pyskl - INFO - Epoch [24][300/1281] lr: 2.355e-02, eta: 18:26:52, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9931, loss_cls: 0.5578, loss: 0.5578 +2023-12-23 09:11:19,140 - pyskl - INFO - Epoch [24][400/1281] lr: 2.354e-02, eta: 18:26:31, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9894, loss_cls: 0.5840, loss: 0.5840 +2023-12-23 09:12:02,882 - pyskl - INFO - Epoch [24][500/1281] lr: 2.353e-02, eta: 18:26:06, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9944, loss_cls: 0.5296, loss: 0.5296 +2023-12-23 09:12:48,188 - pyskl - INFO - Epoch [24][600/1281] lr: 2.352e-02, eta: 18:25:48, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9919, loss_cls: 0.5725, loss: 0.5725 +2023-12-23 09:13:33,356 - pyskl - INFO - Epoch [24][700/1281] lr: 2.351e-02, eta: 18:25:30, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9919, loss_cls: 0.6174, loss: 0.6174 +2023-12-23 09:14:18,516 - pyskl - INFO - Epoch [24][800/1281] lr: 2.350e-02, eta: 18:25:12, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9938, loss_cls: 0.5416, loss: 0.5416 +2023-12-23 09:15:03,103 - pyskl - INFO - Epoch [24][900/1281] lr: 2.349e-02, eta: 18:24:50, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9919, loss_cls: 0.5652, loss: 0.5652 +2023-12-23 09:15:45,972 - pyskl - INFO - Epoch [24][1000/1281] lr: 2.348e-02, eta: 18:24:19, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9962, loss_cls: 0.5921, loss: 0.5921 +2023-12-23 09:16:28,928 - pyskl - INFO - Epoch [24][1100/1281] lr: 2.347e-02, eta: 18:23:49, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9950, loss_cls: 0.5656, loss: 0.5656 +2023-12-23 09:16:54,738 - pyskl - INFO - Epoch [24][1200/1281] lr: 2.346e-02, eta: 18:21:48, time: 0.258, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9900, loss_cls: 0.6490, loss: 0.6490 +2023-12-23 09:17:30,702 - pyskl - INFO - Saving checkpoint at 24 epochs +2023-12-23 09:18:35,772 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 09:18:35,838 - pyskl - INFO - +top1_acc 0.8285 +top5_acc 0.9885 +2023-12-23 09:18:35,839 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 09:18:35,848 - pyskl - INFO - +mean_acc 0.7369 +2023-12-23 09:18:35,853 - pyskl - INFO - Epoch(val) [24][533] top1_acc: 0.8285, top5_acc: 0.9885, mean_class_accuracy: 0.7369 +2023-12-23 09:19:41,715 - pyskl - INFO - Epoch [25][100/1281] lr: 2.344e-02, eta: 18:19:50, time: 0.659, data_time: 0.226, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9944, loss_cls: 0.4741, loss: 0.4741 +2023-12-23 09:20:24,649 - pyskl - INFO - Epoch [25][200/1281] lr: 2.343e-02, eta: 18:19:20, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9969, loss_cls: 0.4844, loss: 0.4844 +2023-12-23 09:21:09,231 - pyskl - INFO - Epoch [25][300/1281] lr: 2.342e-02, eta: 18:18:58, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9950, loss_cls: 0.5408, loss: 0.5408 +2023-12-23 09:21:54,328 - pyskl - INFO - Epoch [25][400/1281] lr: 2.341e-02, eta: 18:18:39, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9888, loss_cls: 0.5899, loss: 0.5899 +2023-12-23 09:22:39,468 - pyskl - INFO - Epoch [25][500/1281] lr: 2.340e-02, eta: 18:18:19, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9912, loss_cls: 0.5519, loss: 0.5519 +2023-12-23 09:23:24,689 - pyskl - INFO - Epoch [25][600/1281] lr: 2.339e-02, eta: 18:18:00, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9881, loss_cls: 0.6082, loss: 0.6082 +2023-12-23 09:24:09,000 - pyskl - INFO - Epoch [25][700/1281] lr: 2.338e-02, eta: 18:17:36, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9950, loss_cls: 0.5180, loss: 0.5180 +2023-12-23 09:24:53,322 - pyskl - INFO - Epoch [25][800/1281] lr: 2.337e-02, eta: 18:17:12, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9944, loss_cls: 0.5655, loss: 0.5655 +2023-12-23 09:25:38,536 - pyskl - INFO - Epoch [25][900/1281] lr: 2.336e-02, eta: 18:16:53, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9931, loss_cls: 0.5559, loss: 0.5559 +2023-12-23 09:26:23,710 - pyskl - INFO - Epoch [25][1000/1281] lr: 2.335e-02, eta: 18:16:33, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9925, loss_cls: 0.5471, loss: 0.5471 +2023-12-23 09:27:08,943 - pyskl - INFO - Epoch [25][1100/1281] lr: 2.334e-02, eta: 18:16:13, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9956, loss_cls: 0.5683, loss: 0.5683 +2023-12-23 09:27:35,388 - pyskl - INFO - Epoch [25][1200/1281] lr: 2.333e-02, eta: 18:14:19, time: 0.264, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9969, loss_cls: 0.5786, loss: 0.5786 +2023-12-23 09:28:09,830 - pyskl - INFO - Saving checkpoint at 25 epochs +2023-12-23 09:29:08,914 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 09:29:08,993 - pyskl - INFO - +top1_acc 0.8055 +top5_acc 0.9769 +2023-12-23 09:29:08,994 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 09:29:09,008 - pyskl - INFO - +mean_acc 0.7402 +2023-12-23 09:29:09,012 - pyskl - INFO - Epoch(val) [25][533] top1_acc: 0.8055, top5_acc: 0.9769, mean_class_accuracy: 0.7402 +2023-12-23 09:30:17,028 - pyskl - INFO - Epoch [26][100/1281] lr: 2.332e-02, eta: 18:12:34, time: 0.680, data_time: 0.229, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9938, loss_cls: 0.5812, loss: 0.5812 +2023-12-23 09:31:02,142 - pyskl - INFO - Epoch [26][200/1281] lr: 2.330e-02, eta: 18:12:14, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9962, loss_cls: 0.4823, loss: 0.4823 +2023-12-23 09:31:47,201 - pyskl - INFO - Epoch [26][300/1281] lr: 2.329e-02, eta: 18:11:53, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9944, loss_cls: 0.5313, loss: 0.5313 +2023-12-23 09:32:31,158 - pyskl - INFO - Epoch [26][400/1281] lr: 2.328e-02, eta: 18:11:26, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9962, loss_cls: 0.5121, loss: 0.5121 +2023-12-23 09:33:15,648 - pyskl - INFO - Epoch [26][500/1281] lr: 2.327e-02, eta: 18:11:03, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9956, loss_cls: 0.5327, loss: 0.5327 +2023-12-23 09:34:00,626 - pyskl - INFO - Epoch [26][600/1281] lr: 2.326e-02, eta: 18:10:41, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9950, loss_cls: 0.5651, loss: 0.5651 +2023-12-23 09:34:45,737 - pyskl - INFO - Epoch [26][700/1281] lr: 2.325e-02, eta: 18:10:20, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9956, loss_cls: 0.5712, loss: 0.5712 +2023-12-23 09:35:30,792 - pyskl - INFO - Epoch [26][800/1281] lr: 2.324e-02, eta: 18:09:58, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9938, loss_cls: 0.5927, loss: 0.5927 +2023-12-23 09:36:15,371 - pyskl - INFO - Epoch [26][900/1281] lr: 2.323e-02, eta: 18:09:34, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9925, loss_cls: 0.5888, loss: 0.5888 +2023-12-23 09:36:59,461 - pyskl - INFO - Epoch [26][1000/1281] lr: 2.322e-02, eta: 18:09:08, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9950, loss_cls: 0.5687, loss: 0.5687 +2023-12-23 09:37:44,029 - pyskl - INFO - Epoch [26][1100/1281] lr: 2.321e-02, eta: 18:08:44, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9944, loss_cls: 0.5429, loss: 0.5429 +2023-12-23 09:38:10,767 - pyskl - INFO - Epoch [26][1200/1281] lr: 2.320e-02, eta: 18:06:54, time: 0.267, data_time: 0.002, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9912, loss_cls: 0.6007, loss: 0.6007 +2023-12-23 09:38:45,830 - pyskl - INFO - Saving checkpoint at 26 epochs +2023-12-23 09:39:48,665 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 09:39:48,732 - pyskl - INFO - +top1_acc 0.8190 +top5_acc 0.9837 +2023-12-23 09:39:48,732 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 09:39:48,741 - pyskl - INFO - +mean_acc 0.7433 +2023-12-23 09:39:48,744 - pyskl - INFO - Epoch(val) [26][533] top1_acc: 0.8190, top5_acc: 0.9837, mean_class_accuracy: 0.7433 +2023-12-23 09:40:51,786 - pyskl - INFO - Epoch [27][100/1281] lr: 2.318e-02, eta: 18:04:46, time: 0.630, data_time: 0.203, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9950, loss_cls: 0.5173, loss: 0.5173 +2023-12-23 09:41:34,934 - pyskl - INFO - Epoch [27][200/1281] lr: 2.317e-02, eta: 18:04:15, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9912, loss_cls: 0.5387, loss: 0.5387 +2023-12-23 09:42:18,328 - pyskl - INFO - Epoch [27][300/1281] lr: 2.316e-02, eta: 18:03:46, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9975, loss_cls: 0.4758, loss: 0.4758 +2023-12-23 09:43:01,543 - pyskl - INFO - Epoch [27][400/1281] lr: 2.315e-02, eta: 18:03:15, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9981, loss_cls: 0.4947, loss: 0.4947 +2023-12-23 09:43:44,702 - pyskl - INFO - Epoch [27][500/1281] lr: 2.314e-02, eta: 18:02:44, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9931, loss_cls: 0.5301, loss: 0.5301 +2023-12-23 09:44:28,578 - pyskl - INFO - Epoch [27][600/1281] lr: 2.313e-02, eta: 18:02:16, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9925, loss_cls: 0.5370, loss: 0.5370 +2023-12-23 09:45:13,390 - pyskl - INFO - Epoch [27][700/1281] lr: 2.312e-02, eta: 18:01:53, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9956, loss_cls: 0.5375, loss: 0.5375 +2023-12-23 09:45:58,549 - pyskl - INFO - Epoch [27][800/1281] lr: 2.311e-02, eta: 18:01:31, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9931, loss_cls: 0.5624, loss: 0.5624 +2023-12-23 09:46:43,707 - pyskl - INFO - Epoch [27][900/1281] lr: 2.310e-02, eta: 18:01:09, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9975, loss_cls: 0.5187, loss: 0.5187 +2023-12-23 09:47:28,980 - pyskl - INFO - Epoch [27][1000/1281] lr: 2.308e-02, eta: 18:00:47, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9925, loss_cls: 0.5570, loss: 0.5570 +2023-12-23 09:48:13,263 - pyskl - INFO - Epoch [27][1100/1281] lr: 2.307e-02, eta: 18:00:20, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9912, loss_cls: 0.6169, loss: 0.6169 +2023-12-23 09:48:40,953 - pyskl - INFO - Epoch [27][1200/1281] lr: 2.306e-02, eta: 17:58:38, time: 0.277, data_time: 0.000, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9950, loss_cls: 0.4542, loss: 0.4542 +2023-12-23 09:49:14,493 - pyskl - INFO - Saving checkpoint at 27 epochs +2023-12-23 09:50:16,851 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 09:50:16,935 - pyskl - INFO - +top1_acc 0.8145 +top5_acc 0.9850 +2023-12-23 09:50:16,935 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 09:50:16,949 - pyskl - INFO - +mean_acc 0.7334 +2023-12-23 09:50:16,953 - pyskl - INFO - Epoch(val) [27][533] top1_acc: 0.8145, top5_acc: 0.9850, mean_class_accuracy: 0.7334 +2023-12-23 09:51:25,470 - pyskl - INFO - Epoch [28][100/1281] lr: 2.304e-02, eta: 17:56:58, time: 0.685, data_time: 0.233, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9956, loss_cls: 0.5020, loss: 0.5020 +2023-12-23 09:52:09,811 - pyskl - INFO - Epoch [28][200/1281] lr: 2.303e-02, eta: 17:56:31, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9969, loss_cls: 0.4718, loss: 0.4718 +2023-12-23 09:52:53,921 - pyskl - INFO - Epoch [28][300/1281] lr: 2.302e-02, eta: 17:56:04, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9956, loss_cls: 0.4788, loss: 0.4788 +2023-12-23 09:53:39,070 - pyskl - INFO - Epoch [28][400/1281] lr: 2.301e-02, eta: 17:55:42, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9912, loss_cls: 0.5358, loss: 0.5358 +2023-12-23 09:54:23,675 - pyskl - INFO - Epoch [28][500/1281] lr: 2.300e-02, eta: 17:55:16, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9956, loss_cls: 0.5341, loss: 0.5341 +2023-12-23 09:55:07,017 - pyskl - INFO - Epoch [28][600/1281] lr: 2.299e-02, eta: 17:54:45, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9956, loss_cls: 0.4967, loss: 0.4967 +2023-12-23 09:55:50,255 - pyskl - INFO - Epoch [28][700/1281] lr: 2.298e-02, eta: 17:54:14, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9912, loss_cls: 0.5491, loss: 0.5491 +2023-12-23 09:56:33,048 - pyskl - INFO - Epoch [28][800/1281] lr: 2.297e-02, eta: 17:53:40, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9919, loss_cls: 0.5584, loss: 0.5584 +2023-12-23 09:57:16,286 - pyskl - INFO - Epoch [28][900/1281] lr: 2.295e-02, eta: 17:53:09, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9956, loss_cls: 0.5048, loss: 0.5048 +2023-12-23 09:57:59,594 - pyskl - INFO - Epoch [28][1000/1281] lr: 2.294e-02, eta: 17:52:37, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9956, loss_cls: 0.4770, loss: 0.4770 +2023-12-23 09:58:42,788 - pyskl - INFO - Epoch [28][1100/1281] lr: 2.293e-02, eta: 17:52:05, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9912, loss_cls: 0.5580, loss: 0.5580 +2023-12-23 09:59:10,537 - pyskl - INFO - Epoch [28][1200/1281] lr: 2.292e-02, eta: 17:50:26, time: 0.277, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9919, loss_cls: 0.5076, loss: 0.5076 +2023-12-23 09:59:43,549 - pyskl - INFO - Saving checkpoint at 28 epochs +2023-12-23 10:00:41,712 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 10:00:41,775 - pyskl - INFO - +top1_acc 0.8337 +top5_acc 0.9889 +2023-12-23 10:00:41,776 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 10:00:41,793 - pyskl - INFO - +mean_acc 0.7696 +2023-12-23 10:00:41,803 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_20.pth was removed +2023-12-23 10:00:42,054 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_28.pth. +2023-12-23 10:00:42,054 - pyskl - INFO - Best top1_acc is 0.8337 at 28 epoch. +2023-12-23 10:00:42,057 - pyskl - INFO - Epoch(val) [28][533] top1_acc: 0.8337, top5_acc: 0.9889, mean_class_accuracy: 0.7696 +2023-12-23 10:01:47,464 - pyskl - INFO - Epoch [29][100/1281] lr: 2.290e-02, eta: 17:48:33, time: 0.654, data_time: 0.221, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9962, loss_cls: 0.4641, loss: 0.4641 +2023-12-23 10:02:31,607 - pyskl - INFO - Epoch [29][200/1281] lr: 2.289e-02, eta: 17:48:05, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9931, loss_cls: 0.5204, loss: 0.5204 +2023-12-23 10:03:16,908 - pyskl - INFO - Epoch [29][300/1281] lr: 2.288e-02, eta: 17:47:42, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9925, loss_cls: 0.5544, loss: 0.5544 +2023-12-23 10:04:00,532 - pyskl - INFO - Epoch [29][400/1281] lr: 2.287e-02, eta: 17:47:12, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9950, loss_cls: 0.5329, loss: 0.5329 +2023-12-23 10:04:43,450 - pyskl - INFO - Epoch [29][500/1281] lr: 2.285e-02, eta: 17:46:39, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9962, loss_cls: 0.5174, loss: 0.5174 +2023-12-23 10:05:26,753 - pyskl - INFO - Epoch [29][600/1281] lr: 2.284e-02, eta: 17:46:07, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9925, loss_cls: 0.5218, loss: 0.5218 +2023-12-23 10:06:10,018 - pyskl - INFO - Epoch [29][700/1281] lr: 2.283e-02, eta: 17:45:35, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9944, loss_cls: 0.5363, loss: 0.5363 +2023-12-23 10:06:53,318 - pyskl - INFO - Epoch [29][800/1281] lr: 2.282e-02, eta: 17:45:04, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9938, loss_cls: 0.5269, loss: 0.5269 +2023-12-23 10:07:36,756 - pyskl - INFO - Epoch [29][900/1281] lr: 2.281e-02, eta: 17:44:32, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9919, loss_cls: 0.5531, loss: 0.5531 +2023-12-23 10:08:20,457 - pyskl - INFO - Epoch [29][1000/1281] lr: 2.280e-02, eta: 17:44:02, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9962, loss_cls: 0.5448, loss: 0.5448 +2023-12-23 10:09:03,590 - pyskl - INFO - Epoch [29][1100/1281] lr: 2.279e-02, eta: 17:43:30, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9950, loss_cls: 0.4949, loss: 0.4949 +2023-12-23 10:09:31,638 - pyskl - INFO - Epoch [29][1200/1281] lr: 2.277e-02, eta: 17:41:54, time: 0.280, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9906, loss_cls: 0.5716, loss: 0.5716 +2023-12-23 10:10:04,573 - pyskl - INFO - Saving checkpoint at 29 epochs +2023-12-23 10:11:06,067 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 10:11:06,144 - pyskl - INFO - +top1_acc 0.8378 +top5_acc 0.9892 +2023-12-23 10:11:06,144 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 10:11:06,152 - pyskl - INFO - +mean_acc 0.7776 +2023-12-23 10:11:06,157 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_28.pth was removed +2023-12-23 10:11:06,410 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. +2023-12-23 10:11:06,411 - pyskl - INFO - Best top1_acc is 0.8378 at 29 epoch. +2023-12-23 10:11:06,413 - pyskl - INFO - Epoch(val) [29][533] top1_acc: 0.8378, top5_acc: 0.9892, mean_class_accuracy: 0.7776 +2023-12-23 10:12:13,812 - pyskl - INFO - Epoch [30][100/1281] lr: 2.275e-02, eta: 17:40:10, time: 0.674, data_time: 0.230, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9969, loss_cls: 0.4787, loss: 0.4787 +2023-12-23 10:12:57,790 - pyskl - INFO - Epoch [30][200/1281] lr: 2.274e-02, eta: 17:39:41, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9969, loss_cls: 0.4674, loss: 0.4674 +2023-12-23 10:13:42,727 - pyskl - INFO - Epoch [30][300/1281] lr: 2.273e-02, eta: 17:39:16, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9969, loss_cls: 0.4553, loss: 0.4553 +2023-12-23 10:14:26,200 - pyskl - INFO - Epoch [30][400/1281] lr: 2.272e-02, eta: 17:38:45, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9912, loss_cls: 0.5245, loss: 0.5245 +2023-12-23 10:15:09,615 - pyskl - INFO - Epoch [30][500/1281] lr: 2.271e-02, eta: 17:38:13, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9944, loss_cls: 0.5065, loss: 0.5065 +2023-12-23 10:15:52,887 - pyskl - INFO - Epoch [30][600/1281] lr: 2.269e-02, eta: 17:37:41, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9981, loss_cls: 0.4479, loss: 0.4479 +2023-12-23 10:16:35,734 - pyskl - INFO - Epoch [30][700/1281] lr: 2.268e-02, eta: 17:37:07, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9931, loss_cls: 0.4647, loss: 0.4647 +2023-12-23 10:17:18,986 - pyskl - INFO - Epoch [30][800/1281] lr: 2.267e-02, eta: 17:36:35, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9956, loss_cls: 0.4868, loss: 0.4868 +2023-12-23 10:18:02,030 - pyskl - INFO - Epoch [30][900/1281] lr: 2.266e-02, eta: 17:36:02, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9969, loss_cls: 0.5198, loss: 0.5198 +2023-12-23 10:18:45,278 - pyskl - INFO - Epoch [30][1000/1281] lr: 2.265e-02, eta: 17:35:29, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9944, loss_cls: 0.5366, loss: 0.5366 +2023-12-23 10:19:28,561 - pyskl - INFO - Epoch [30][1100/1281] lr: 2.263e-02, eta: 17:34:57, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9956, loss_cls: 0.5321, loss: 0.5321 +2023-12-23 10:19:55,989 - pyskl - INFO - Epoch [30][1200/1281] lr: 2.262e-02, eta: 17:33:21, time: 0.274, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9888, loss_cls: 0.5989, loss: 0.5989 +2023-12-23 10:20:29,558 - pyskl - INFO - Saving checkpoint at 30 epochs +2023-12-23 10:21:28,780 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 10:21:28,852 - pyskl - INFO - +top1_acc 0.7476 +top5_acc 0.9663 +2023-12-23 10:21:28,852 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 10:21:28,860 - pyskl - INFO - +mean_acc 0.6967 +2023-12-23 10:21:28,866 - pyskl - INFO - Epoch(val) [30][533] top1_acc: 0.7476, top5_acc: 0.9663, mean_class_accuracy: 0.6967 +2023-12-23 10:22:35,063 - pyskl - INFO - Epoch [31][100/1281] lr: 2.260e-02, eta: 17:31:34, time: 0.662, data_time: 0.225, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9962, loss_cls: 0.5026, loss: 0.5026 +2023-12-23 10:23:18,462 - pyskl - INFO - Epoch [31][200/1281] lr: 2.259e-02, eta: 17:31:02, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9888, loss_cls: 0.5357, loss: 0.5357 +2023-12-23 10:24:01,597 - pyskl - INFO - Epoch [31][300/1281] lr: 2.258e-02, eta: 17:30:29, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9956, loss_cls: 0.4887, loss: 0.4887 +2023-12-23 10:24:44,925 - pyskl - INFO - Epoch [31][400/1281] lr: 2.256e-02, eta: 17:29:57, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9950, loss_cls: 0.4683, loss: 0.4683 +2023-12-23 10:25:28,375 - pyskl - INFO - Epoch [31][500/1281] lr: 2.255e-02, eta: 17:29:25, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9938, loss_cls: 0.5677, loss: 0.5677 +2023-12-23 10:26:11,859 - pyskl - INFO - Epoch [31][600/1281] lr: 2.254e-02, eta: 17:28:53, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9962, loss_cls: 0.4958, loss: 0.4958 +2023-12-23 10:26:55,984 - pyskl - INFO - Epoch [31][700/1281] lr: 2.253e-02, eta: 17:28:24, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9931, loss_cls: 0.5162, loss: 0.5162 +2023-12-23 10:27:41,079 - pyskl - INFO - Epoch [31][800/1281] lr: 2.252e-02, eta: 17:27:58, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9938, loss_cls: 0.5232, loss: 0.5232 +2023-12-23 10:28:25,132 - pyskl - INFO - Epoch [31][900/1281] lr: 2.250e-02, eta: 17:27:28, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9950, loss_cls: 0.5460, loss: 0.5460 +2023-12-23 10:29:09,881 - pyskl - INFO - Epoch [31][1000/1281] lr: 2.249e-02, eta: 17:27:01, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9912, loss_cls: 0.5829, loss: 0.5829 +2023-12-23 10:29:55,043 - pyskl - INFO - Epoch [31][1100/1281] lr: 2.248e-02, eta: 17:26:36, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9938, loss_cls: 0.5527, loss: 0.5527 +2023-12-23 10:30:23,422 - pyskl - INFO - Epoch [31][1200/1281] lr: 2.247e-02, eta: 17:25:05, time: 0.284, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9925, loss_cls: 0.5174, loss: 0.5174 +2023-12-23 10:30:56,628 - pyskl - INFO - Saving checkpoint at 31 epochs +2023-12-23 10:31:58,192 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 10:31:58,257 - pyskl - INFO - +top1_acc 0.8359 +top5_acc 0.9891 +2023-12-23 10:31:58,257 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 10:31:58,266 - pyskl - INFO - +mean_acc 0.7726 +2023-12-23 10:31:58,269 - pyskl - INFO - Epoch(val) [31][533] top1_acc: 0.8359, top5_acc: 0.9891, mean_class_accuracy: 0.7726 +2023-12-23 10:33:00,724 - pyskl - INFO - Epoch [32][100/1281] lr: 2.244e-02, eta: 17:23:05, time: 0.624, data_time: 0.181, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9919, loss_cls: 0.5421, loss: 0.5421 +2023-12-23 10:33:46,032 - pyskl - INFO - Epoch [32][200/1281] lr: 2.243e-02, eta: 17:22:40, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9944, loss_cls: 0.4663, loss: 0.4663 +2023-12-23 10:34:31,311 - pyskl - INFO - Epoch [32][300/1281] lr: 2.242e-02, eta: 17:22:15, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9956, loss_cls: 0.4793, loss: 0.4793 +2023-12-23 10:35:16,703 - pyskl - INFO - Epoch [32][400/1281] lr: 2.241e-02, eta: 17:21:50, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9956, loss_cls: 0.5189, loss: 0.5189 +2023-12-23 10:36:01,477 - pyskl - INFO - Epoch [32][500/1281] lr: 2.239e-02, eta: 17:21:23, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9962, loss_cls: 0.5083, loss: 0.5083 +2023-12-23 10:36:44,654 - pyskl - INFO - Epoch [32][600/1281] lr: 2.238e-02, eta: 17:20:50, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9962, loss_cls: 0.4623, loss: 0.4623 +2023-12-23 10:37:28,074 - pyskl - INFO - Epoch [32][700/1281] lr: 2.237e-02, eta: 17:20:17, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9956, loss_cls: 0.4986, loss: 0.4986 +2023-12-23 10:38:11,502 - pyskl - INFO - Epoch [32][800/1281] lr: 2.236e-02, eta: 17:19:44, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9938, loss_cls: 0.5204, loss: 0.5204 +2023-12-23 10:38:56,643 - pyskl - INFO - Epoch [32][900/1281] lr: 2.234e-02, eta: 17:19:18, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9981, loss_cls: 0.5083, loss: 0.5083 +2023-12-23 10:39:41,927 - pyskl - INFO - Epoch [32][1000/1281] lr: 2.233e-02, eta: 17:18:52, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9975, loss_cls: 0.4902, loss: 0.4902 +2023-12-23 10:40:25,736 - pyskl - INFO - Epoch [32][1100/1281] lr: 2.232e-02, eta: 17:18:21, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9962, loss_cls: 0.5092, loss: 0.5092 +2023-12-23 10:40:56,965 - pyskl - INFO - Epoch [32][1200/1281] lr: 2.231e-02, eta: 17:17:03, time: 0.312, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9944, loss_cls: 0.5095, loss: 0.5095 +2023-12-23 10:41:27,197 - pyskl - INFO - Saving checkpoint at 32 epochs +2023-12-23 10:42:25,699 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 10:42:25,760 - pyskl - INFO - +top1_acc 0.8535 +top5_acc 0.9923 +2023-12-23 10:42:25,760 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 10:42:25,773 - pyskl - INFO - +mean_acc 0.7947 +2023-12-23 10:42:25,778 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_29.pth was removed +2023-12-23 10:42:25,992 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. +2023-12-23 10:42:25,993 - pyskl - INFO - Best top1_acc is 0.8535 at 32 epoch. +2023-12-23 10:42:26,007 - pyskl - INFO - Epoch(val) [32][533] top1_acc: 0.8535, top5_acc: 0.9923, mean_class_accuracy: 0.7947 +2023-12-23 10:43:34,563 - pyskl - INFO - Epoch [33][100/1281] lr: 2.228e-02, eta: 17:15:27, time: 0.685, data_time: 0.235, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9975, loss_cls: 0.4387, loss: 0.4387 +2023-12-23 10:44:18,911 - pyskl - INFO - Epoch [33][200/1281] lr: 2.227e-02, eta: 17:14:58, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9956, loss_cls: 0.4790, loss: 0.4790 +2023-12-23 10:45:03,549 - pyskl - INFO - Epoch [33][300/1281] lr: 2.226e-02, eta: 17:14:29, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9962, loss_cls: 0.4494, loss: 0.4494 +2023-12-23 10:45:48,519 - pyskl - INFO - Epoch [33][400/1281] lr: 2.225e-02, eta: 17:14:02, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9938, loss_cls: 0.4764, loss: 0.4764 +2023-12-23 10:46:32,710 - pyskl - INFO - Epoch [33][500/1281] lr: 2.223e-02, eta: 17:13:32, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9969, loss_cls: 0.4144, loss: 0.4144 +2023-12-23 10:47:18,004 - pyskl - INFO - Epoch [33][600/1281] lr: 2.222e-02, eta: 17:13:06, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9950, loss_cls: 0.4754, loss: 0.4754 +2023-12-23 10:48:02,823 - pyskl - INFO - Epoch [33][700/1281] lr: 2.221e-02, eta: 17:12:38, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9944, loss_cls: 0.5175, loss: 0.5175 +2023-12-23 10:48:46,882 - pyskl - INFO - Epoch [33][800/1281] lr: 2.219e-02, eta: 17:12:07, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9938, loss_cls: 0.5019, loss: 0.5019 +2023-12-23 10:49:32,210 - pyskl - INFO - Epoch [33][900/1281] lr: 2.218e-02, eta: 17:11:41, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9944, loss_cls: 0.5233, loss: 0.5233 +2023-12-23 10:50:15,883 - pyskl - INFO - Epoch [33][1000/1281] lr: 2.217e-02, eta: 17:11:08, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9950, loss_cls: 0.4807, loss: 0.4807 +2023-12-23 10:51:00,628 - pyskl - INFO - Epoch [33][1100/1281] lr: 2.216e-02, eta: 17:10:40, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9938, loss_cls: 0.4935, loss: 0.4935 +2023-12-23 10:51:30,657 - pyskl - INFO - Epoch [33][1200/1281] lr: 2.214e-02, eta: 17:09:19, time: 0.300, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9956, loss_cls: 0.5447, loss: 0.5447 +2023-12-23 10:52:01,363 - pyskl - INFO - Saving checkpoint at 33 epochs +2023-12-23 10:52:58,323 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 10:52:58,411 - pyskl - INFO - +top1_acc 0.8444 +top5_acc 0.9898 +2023-12-23 10:52:58,411 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 10:52:58,427 - pyskl - INFO - +mean_acc 0.8052 +2023-12-23 10:52:58,432 - pyskl - INFO - Epoch(val) [33][533] top1_acc: 0.8444, top5_acc: 0.9898, mean_class_accuracy: 0.8052 +2023-12-23 10:54:04,759 - pyskl - INFO - Epoch [34][100/1281] lr: 2.212e-02, eta: 17:07:35, time: 0.663, data_time: 0.231, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9950, loss_cls: 0.4859, loss: 0.4859 +2023-12-23 10:54:48,107 - pyskl - INFO - Epoch [34][200/1281] lr: 2.211e-02, eta: 17:07:02, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9981, loss_cls: 0.4011, loss: 0.4011 +2023-12-23 10:55:31,418 - pyskl - INFO - Epoch [34][300/1281] lr: 2.209e-02, eta: 17:06:28, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9956, loss_cls: 0.4648, loss: 0.4648 +2023-12-23 10:56:14,249 - pyskl - INFO - Epoch [34][400/1281] lr: 2.208e-02, eta: 17:05:52, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9950, loss_cls: 0.5000, loss: 0.5000 +2023-12-23 10:56:57,339 - pyskl - INFO - Epoch [34][500/1281] lr: 2.207e-02, eta: 17:05:18, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9962, loss_cls: 0.4889, loss: 0.4889 +2023-12-23 10:57:40,733 - pyskl - INFO - Epoch [34][600/1281] lr: 2.205e-02, eta: 17:04:44, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9962, loss_cls: 0.4508, loss: 0.4508 +2023-12-23 10:58:25,807 - pyskl - INFO - Epoch [34][700/1281] lr: 2.204e-02, eta: 17:04:17, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9938, loss_cls: 0.5171, loss: 0.5171 +2023-12-23 10:59:10,874 - pyskl - INFO - Epoch [34][800/1281] lr: 2.203e-02, eta: 17:03:49, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9975, loss_cls: 0.4407, loss: 0.4407 +2023-12-23 10:59:55,606 - pyskl - INFO - Epoch [34][900/1281] lr: 2.201e-02, eta: 17:03:20, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9950, loss_cls: 0.5176, loss: 0.5176 +2023-12-23 11:00:39,645 - pyskl - INFO - Epoch [34][1000/1281] lr: 2.200e-02, eta: 17:02:48, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9969, loss_cls: 0.5415, loss: 0.5415 +2023-12-23 11:01:24,469 - pyskl - INFO - Epoch [34][1100/1281] lr: 2.199e-02, eta: 17:02:20, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9944, loss_cls: 0.4966, loss: 0.4966 +2023-12-23 11:01:53,544 - pyskl - INFO - Epoch [34][1200/1281] lr: 2.197e-02, eta: 17:00:57, time: 0.291, data_time: 0.000, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9956, loss_cls: 0.4999, loss: 0.4999 +2023-12-23 11:02:26,481 - pyskl - INFO - Saving checkpoint at 34 epochs +2023-12-23 11:03:28,197 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 11:03:28,259 - pyskl - INFO - +top1_acc 0.8280 +top5_acc 0.9837 +2023-12-23 11:03:28,260 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 11:03:28,269 - pyskl - INFO - +mean_acc 0.7744 +2023-12-23 11:03:28,271 - pyskl - INFO - Epoch(val) [34][533] top1_acc: 0.8280, top5_acc: 0.9837, mean_class_accuracy: 0.7744 +2023-12-23 11:04:32,308 - pyskl - INFO - Epoch [35][100/1281] lr: 2.195e-02, eta: 16:59:06, time: 0.640, data_time: 0.211, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9962, loss_cls: 0.4492, loss: 0.4492 +2023-12-23 11:05:16,334 - pyskl - INFO - Epoch [35][200/1281] lr: 2.194e-02, eta: 16:58:35, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9956, loss_cls: 0.4668, loss: 0.4668 +2023-12-23 11:06:01,373 - pyskl - INFO - Epoch [35][300/1281] lr: 2.192e-02, eta: 16:58:07, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9962, loss_cls: 0.4727, loss: 0.4727 +2023-12-23 11:06:46,527 - pyskl - INFO - Epoch [35][400/1281] lr: 2.191e-02, eta: 16:57:39, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9931, loss_cls: 0.4797, loss: 0.4797 +2023-12-23 11:07:30,837 - pyskl - INFO - Epoch [35][500/1281] lr: 2.190e-02, eta: 16:57:08, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9938, loss_cls: 0.5044, loss: 0.5044 +2023-12-23 11:08:13,836 - pyskl - INFO - Epoch [35][600/1281] lr: 2.188e-02, eta: 16:56:33, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9944, loss_cls: 0.4625, loss: 0.4625 +2023-12-23 11:08:57,391 - pyskl - INFO - Epoch [35][700/1281] lr: 2.187e-02, eta: 16:55:59, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9981, loss_cls: 0.5010, loss: 0.5010 +2023-12-23 11:09:40,642 - pyskl - INFO - Epoch [35][800/1281] lr: 2.185e-02, eta: 16:55:25, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9969, loss_cls: 0.5126, loss: 0.5126 +2023-12-23 11:10:23,892 - pyskl - INFO - Epoch [35][900/1281] lr: 2.184e-02, eta: 16:54:51, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9944, loss_cls: 0.4787, loss: 0.4787 +2023-12-23 11:11:07,245 - pyskl - INFO - Epoch [35][1000/1281] lr: 2.183e-02, eta: 16:54:16, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9981, loss_cls: 0.4835, loss: 0.4835 +2023-12-23 11:11:50,582 - pyskl - INFO - Epoch [35][1100/1281] lr: 2.181e-02, eta: 16:53:42, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9956, loss_cls: 0.4605, loss: 0.4605 +2023-12-23 11:12:18,675 - pyskl - INFO - Epoch [35][1200/1281] lr: 2.180e-02, eta: 16:52:18, time: 0.281, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9969, loss_cls: 0.4709, loss: 0.4709 +2023-12-23 11:12:49,803 - pyskl - INFO - Saving checkpoint at 35 epochs +2023-12-23 11:13:50,214 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 11:13:50,277 - pyskl - INFO - +top1_acc 0.8187 +top5_acc 0.9869 +2023-12-23 11:13:50,277 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 11:13:50,286 - pyskl - INFO - +mean_acc 0.7769 +2023-12-23 11:13:50,289 - pyskl - INFO - Epoch(val) [35][533] top1_acc: 0.8187, top5_acc: 0.9869, mean_class_accuracy: 0.7769 +2023-12-23 11:14:58,926 - pyskl - INFO - Epoch [36][100/1281] lr: 2.178e-02, eta: 16:50:43, time: 0.686, data_time: 0.234, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9981, loss_cls: 0.4142, loss: 0.4142 +2023-12-23 11:15:44,076 - pyskl - INFO - Epoch [36][200/1281] lr: 2.176e-02, eta: 16:50:15, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9981, loss_cls: 0.3858, loss: 0.3858 +2023-12-23 11:16:28,251 - pyskl - INFO - Epoch [36][300/1281] lr: 2.175e-02, eta: 16:49:44, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9925, loss_cls: 0.5385, loss: 0.5385 +2023-12-23 11:17:12,325 - pyskl - INFO - Epoch [36][400/1281] lr: 2.173e-02, eta: 16:49:12, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9956, loss_cls: 0.4624, loss: 0.4624 +2023-12-23 11:17:57,446 - pyskl - INFO - Epoch [36][500/1281] lr: 2.172e-02, eta: 16:48:43, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9956, loss_cls: 0.4838, loss: 0.4838 +2023-12-23 11:18:40,746 - pyskl - INFO - Epoch [36][600/1281] lr: 2.171e-02, eta: 16:48:09, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9981, loss_cls: 0.4886, loss: 0.4886 +2023-12-23 11:19:23,867 - pyskl - INFO - Epoch [36][700/1281] lr: 2.169e-02, eta: 16:47:33, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9981, loss_cls: 0.4074, loss: 0.4074 +2023-12-23 11:20:08,195 - pyskl - INFO - Epoch [36][800/1281] lr: 2.168e-02, eta: 16:47:02, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9925, loss_cls: 0.5230, loss: 0.5230 +2023-12-23 11:20:52,368 - pyskl - INFO - Epoch [36][900/1281] lr: 2.167e-02, eta: 16:46:30, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9956, loss_cls: 0.4747, loss: 0.4747 +2023-12-23 11:21:37,559 - pyskl - INFO - Epoch [36][1000/1281] lr: 2.165e-02, eta: 16:46:02, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9944, loss_cls: 0.5611, loss: 0.5611 +2023-12-23 11:22:22,869 - pyskl - INFO - Epoch [36][1100/1281] lr: 2.164e-02, eta: 16:45:33, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9956, loss_cls: 0.5221, loss: 0.5221 +2023-12-23 11:22:52,158 - pyskl - INFO - Epoch [36][1200/1281] lr: 2.162e-02, eta: 16:44:14, time: 0.293, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9956, loss_cls: 0.4481, loss: 0.4481 +2023-12-23 11:23:24,924 - pyskl - INFO - Saving checkpoint at 36 epochs +2023-12-23 11:24:26,512 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 11:24:26,573 - pyskl - INFO - +top1_acc 0.8373 +top5_acc 0.9866 +2023-12-23 11:24:26,573 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 11:24:26,581 - pyskl - INFO - +mean_acc 0.7787 +2023-12-23 11:24:26,583 - pyskl - INFO - Epoch(val) [36][533] top1_acc: 0.8373, top5_acc: 0.9866, mean_class_accuracy: 0.7787 +2023-12-23 11:25:30,336 - pyskl - INFO - Epoch [37][100/1281] lr: 2.160e-02, eta: 16:42:25, time: 0.637, data_time: 0.206, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9950, loss_cls: 0.4255, loss: 0.4255 +2023-12-23 11:26:13,854 - pyskl - INFO - Epoch [37][200/1281] lr: 2.158e-02, eta: 16:41:51, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9962, loss_cls: 0.4672, loss: 0.4672 +2023-12-23 11:26:57,711 - pyskl - INFO - Epoch [37][300/1281] lr: 2.157e-02, eta: 16:41:18, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9969, loss_cls: 0.4142, loss: 0.4142 +2023-12-23 11:27:40,963 - pyskl - INFO - Epoch [37][400/1281] lr: 2.156e-02, eta: 16:40:43, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.4106, loss: 0.4106 +2023-12-23 11:28:24,163 - pyskl - INFO - Epoch [37][500/1281] lr: 2.154e-02, eta: 16:40:08, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9981, loss_cls: 0.4666, loss: 0.4666 +2023-12-23 11:29:09,137 - pyskl - INFO - Epoch [37][600/1281] lr: 2.153e-02, eta: 16:39:39, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9962, loss_cls: 0.4392, loss: 0.4392 +2023-12-23 11:29:54,163 - pyskl - INFO - Epoch [37][700/1281] lr: 2.151e-02, eta: 16:39:09, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9956, loss_cls: 0.4731, loss: 0.4731 +2023-12-23 11:30:39,099 - pyskl - INFO - Epoch [37][800/1281] lr: 2.150e-02, eta: 16:38:39, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9962, loss_cls: 0.4561, loss: 0.4561 +2023-12-23 11:31:23,346 - pyskl - INFO - Epoch [37][900/1281] lr: 2.149e-02, eta: 16:38:07, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9950, loss_cls: 0.5196, loss: 0.5196 +2023-12-23 11:32:06,884 - pyskl - INFO - Epoch [37][1000/1281] lr: 2.147e-02, eta: 16:37:33, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9944, loss_cls: 0.5037, loss: 0.5037 +2023-12-23 11:32:50,410 - pyskl - INFO - Epoch [37][1100/1281] lr: 2.146e-02, eta: 16:36:59, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9962, loss_cls: 0.4677, loss: 0.4677 +2023-12-23 11:33:19,240 - pyskl - INFO - Epoch [37][1200/1281] lr: 2.144e-02, eta: 16:35:39, time: 0.288, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9938, loss_cls: 0.5025, loss: 0.5025 +2023-12-23 11:33:52,084 - pyskl - INFO - Saving checkpoint at 37 epochs +2023-12-23 11:34:53,671 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 11:34:53,733 - pyskl - INFO - +top1_acc 0.8439 +top5_acc 0.9894 +2023-12-23 11:34:53,733 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 11:34:53,749 - pyskl - INFO - +mean_acc 0.7714 +2023-12-23 11:34:53,756 - pyskl - INFO - Epoch(val) [37][533] top1_acc: 0.8439, top5_acc: 0.9894, mean_class_accuracy: 0.7714 +2023-12-23 11:35:59,306 - pyskl - INFO - Epoch [38][100/1281] lr: 2.142e-02, eta: 16:33:57, time: 0.655, data_time: 0.223, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9962, loss_cls: 0.3881, loss: 0.3881 +2023-12-23 11:36:42,261 - pyskl - INFO - Epoch [38][200/1281] lr: 2.140e-02, eta: 16:33:21, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9975, loss_cls: 0.4822, loss: 0.4822 +2023-12-23 11:37:25,645 - pyskl - INFO - Epoch [38][300/1281] lr: 2.139e-02, eta: 16:32:46, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9962, loss_cls: 0.4696, loss: 0.4696 +2023-12-23 11:38:10,753 - pyskl - INFO - Epoch [38][400/1281] lr: 2.137e-02, eta: 16:32:16, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9944, loss_cls: 0.4435, loss: 0.4435 +2023-12-23 11:38:54,968 - pyskl - INFO - Epoch [38][500/1281] lr: 2.136e-02, eta: 16:31:44, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9969, loss_cls: 0.4732, loss: 0.4732 +2023-12-23 11:39:38,396 - pyskl - INFO - Epoch [38][600/1281] lr: 2.134e-02, eta: 16:31:09, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9950, loss_cls: 0.4658, loss: 0.4658 +2023-12-23 11:40:21,354 - pyskl - INFO - Epoch [38][700/1281] lr: 2.133e-02, eta: 16:30:33, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9950, loss_cls: 0.4501, loss: 0.4501 +2023-12-23 11:41:05,451 - pyskl - INFO - Epoch [38][800/1281] lr: 2.132e-02, eta: 16:30:01, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9981, loss_cls: 0.4221, loss: 0.4221 +2023-12-23 11:41:50,537 - pyskl - INFO - Epoch [38][900/1281] lr: 2.130e-02, eta: 16:29:31, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9969, loss_cls: 0.4181, loss: 0.4181 +2023-12-23 11:42:35,551 - pyskl - INFO - Epoch [38][1000/1281] lr: 2.129e-02, eta: 16:29:00, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9938, loss_cls: 0.4896, loss: 0.4896 +2023-12-23 11:43:20,580 - pyskl - INFO - Epoch [38][1100/1281] lr: 2.127e-02, eta: 16:28:30, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9944, loss_cls: 0.4767, loss: 0.4767 +2023-12-23 11:43:50,488 - pyskl - INFO - Epoch [38][1200/1281] lr: 2.126e-02, eta: 16:27:15, time: 0.299, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9956, loss_cls: 0.5172, loss: 0.5172 +2023-12-23 11:44:21,969 - pyskl - INFO - Saving checkpoint at 38 epochs +2023-12-23 11:45:17,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 11:45:17,666 - pyskl - INFO - +top1_acc 0.8365 +top5_acc 0.9867 +2023-12-23 11:45:17,667 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 11:45:17,677 - pyskl - INFO - +mean_acc 0.7668 +2023-12-23 11:45:17,680 - pyskl - INFO - Epoch(val) [38][533] top1_acc: 0.8365, top5_acc: 0.9867, mean_class_accuracy: 0.7668 +2023-12-23 11:46:23,913 - pyskl - INFO - Epoch [39][100/1281] lr: 2.123e-02, eta: 16:25:36, time: 0.662, data_time: 0.230, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9969, loss_cls: 0.4613, loss: 0.4613 +2023-12-23 11:47:07,015 - pyskl - INFO - Epoch [39][200/1281] lr: 2.122e-02, eta: 16:25:00, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9969, loss_cls: 0.4590, loss: 0.4590 +2023-12-23 11:47:50,417 - pyskl - INFO - Epoch [39][300/1281] lr: 2.120e-02, eta: 16:24:25, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 0.4084, loss: 0.4084 +2023-12-23 11:48:33,443 - pyskl - INFO - Epoch [39][400/1281] lr: 2.119e-02, eta: 16:23:49, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9962, loss_cls: 0.4388, loss: 0.4388 +2023-12-23 11:49:16,584 - pyskl - INFO - Epoch [39][500/1281] lr: 2.117e-02, eta: 16:23:13, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9950, loss_cls: 0.4333, loss: 0.4333 +2023-12-23 11:49:59,886 - pyskl - INFO - Epoch [39][600/1281] lr: 2.116e-02, eta: 16:22:38, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9950, loss_cls: 0.4744, loss: 0.4744 +2023-12-23 11:50:43,017 - pyskl - INFO - Epoch [39][700/1281] lr: 2.114e-02, eta: 16:22:02, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9962, loss_cls: 0.4476, loss: 0.4476 +2023-12-23 11:51:26,473 - pyskl - INFO - Epoch [39][800/1281] lr: 2.113e-02, eta: 16:21:27, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9962, loss_cls: 0.5196, loss: 0.5196 +2023-12-23 11:52:09,935 - pyskl - INFO - Epoch [39][900/1281] lr: 2.111e-02, eta: 16:20:52, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9981, loss_cls: 0.4444, loss: 0.4444 +2023-12-23 11:52:52,825 - pyskl - INFO - Epoch [39][1000/1281] lr: 2.110e-02, eta: 16:20:15, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9950, loss_cls: 0.4579, loss: 0.4579 +2023-12-23 11:53:35,957 - pyskl - INFO - Epoch [39][1100/1281] lr: 2.108e-02, eta: 16:19:39, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9975, loss_cls: 0.4832, loss: 0.4832 +2023-12-23 11:54:06,132 - pyskl - INFO - Epoch [39][1200/1281] lr: 2.107e-02, eta: 16:18:26, time: 0.302, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9969, loss_cls: 0.3996, loss: 0.3996 +2023-12-23 11:54:38,080 - pyskl - INFO - Saving checkpoint at 39 epochs +2023-12-23 11:55:38,380 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 11:55:38,462 - pyskl - INFO - +top1_acc 0.8488 +top5_acc 0.9890 +2023-12-23 11:55:38,462 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 11:55:38,471 - pyskl - INFO - +mean_acc 0.8160 +2023-12-23 11:55:38,475 - pyskl - INFO - Epoch(val) [39][533] top1_acc: 0.8488, top5_acc: 0.9890, mean_class_accuracy: 0.8160 +2023-12-23 11:56:44,327 - pyskl - INFO - Epoch [40][100/1281] lr: 2.104e-02, eta: 16:16:47, time: 0.658, data_time: 0.228, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9956, loss_cls: 0.4234, loss: 0.4234 +2023-12-23 11:57:27,504 - pyskl - INFO - Epoch [40][200/1281] lr: 2.103e-02, eta: 16:16:11, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9956, loss_cls: 0.4696, loss: 0.4696 +2023-12-23 11:58:10,754 - pyskl - INFO - Epoch [40][300/1281] lr: 2.101e-02, eta: 16:15:35, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9962, loss_cls: 0.4188, loss: 0.4188 +2023-12-23 11:58:54,028 - pyskl - INFO - Epoch [40][400/1281] lr: 2.100e-02, eta: 16:15:00, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9956, loss_cls: 0.4153, loss: 0.4153 +2023-12-23 11:59:37,366 - pyskl - INFO - Epoch [40][500/1281] lr: 2.098e-02, eta: 16:14:24, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9994, loss_cls: 0.3807, loss: 0.3807 +2023-12-23 12:00:22,463 - pyskl - INFO - Epoch [40][600/1281] lr: 2.097e-02, eta: 16:13:54, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9962, loss_cls: 0.4765, loss: 0.4765 +2023-12-23 12:01:06,504 - pyskl - INFO - Epoch [40][700/1281] lr: 2.095e-02, eta: 16:13:20, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9931, loss_cls: 0.4916, loss: 0.4916 +2023-12-23 12:01:51,338 - pyskl - INFO - Epoch [40][800/1281] lr: 2.094e-02, eta: 16:12:49, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9956, loss_cls: 0.4405, loss: 0.4405 +2023-12-23 12:02:36,353 - pyskl - INFO - Epoch [40][900/1281] lr: 2.092e-02, eta: 16:12:18, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9962, loss_cls: 0.4488, loss: 0.4488 +2023-12-23 12:03:21,692 - pyskl - INFO - Epoch [40][1000/1281] lr: 2.091e-02, eta: 16:11:48, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9938, loss_cls: 0.4623, loss: 0.4623 +2023-12-23 12:04:06,608 - pyskl - INFO - Epoch [40][1100/1281] lr: 2.089e-02, eta: 16:11:16, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9925, loss_cls: 0.5452, loss: 0.5452 +2023-12-23 12:04:35,863 - pyskl - INFO - Epoch [40][1200/1281] lr: 2.088e-02, eta: 16:10:02, time: 0.293, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9950, loss_cls: 0.4202, loss: 0.4202 +2023-12-23 12:05:07,047 - pyskl - INFO - Saving checkpoint at 40 epochs +2023-12-23 12:06:07,473 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 12:06:07,547 - pyskl - INFO - +top1_acc 0.8362 +top5_acc 0.9843 +2023-12-23 12:06:07,548 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 12:06:07,558 - pyskl - INFO - +mean_acc 0.7731 +2023-12-23 12:06:07,563 - pyskl - INFO - Epoch(val) [40][533] top1_acc: 0.8362, top5_acc: 0.9843, mean_class_accuracy: 0.7731 +2023-12-23 12:07:13,616 - pyskl - INFO - Epoch [41][100/1281] lr: 2.085e-02, eta: 16:08:23, time: 0.660, data_time: 0.227, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9925, loss_cls: 0.4434, loss: 0.4434 +2023-12-23 12:07:56,873 - pyskl - INFO - Epoch [41][200/1281] lr: 2.083e-02, eta: 16:07:48, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9962, loss_cls: 0.3843, loss: 0.3843 +2023-12-23 12:08:39,833 - pyskl - INFO - Epoch [41][300/1281] lr: 2.082e-02, eta: 16:07:11, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9950, loss_cls: 0.3940, loss: 0.3940 +2023-12-23 12:09:22,982 - pyskl - INFO - Epoch [41][400/1281] lr: 2.080e-02, eta: 16:06:35, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9938, loss_cls: 0.4508, loss: 0.4508 +2023-12-23 12:10:06,193 - pyskl - INFO - Epoch [41][500/1281] lr: 2.079e-02, eta: 16:05:59, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9962, loss_cls: 0.4442, loss: 0.4442 +2023-12-23 12:10:49,475 - pyskl - INFO - Epoch [41][600/1281] lr: 2.077e-02, eta: 16:05:23, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9956, loss_cls: 0.4691, loss: 0.4691 +2023-12-23 12:11:32,856 - pyskl - INFO - Epoch [41][700/1281] lr: 2.076e-02, eta: 16:04:47, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9969, loss_cls: 0.4603, loss: 0.4603 +2023-12-23 12:12:15,996 - pyskl - INFO - Epoch [41][800/1281] lr: 2.074e-02, eta: 16:04:11, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 0.4124, loss: 0.4124 +2023-12-23 12:12:58,999 - pyskl - INFO - Epoch [41][900/1281] lr: 2.073e-02, eta: 16:03:34, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9975, loss_cls: 0.4560, loss: 0.4560 +2023-12-23 12:13:42,775 - pyskl - INFO - Epoch [41][1000/1281] lr: 2.071e-02, eta: 16:03:00, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9956, loss_cls: 0.4832, loss: 0.4832 +2023-12-23 12:14:28,102 - pyskl - INFO - Epoch [41][1100/1281] lr: 2.070e-02, eta: 16:02:29, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9981, loss_cls: 0.4093, loss: 0.4093 +2023-12-23 12:14:58,103 - pyskl - INFO - Epoch [41][1200/1281] lr: 2.068e-02, eta: 16:01:18, time: 0.300, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9944, loss_cls: 0.4565, loss: 0.4565 +2023-12-23 12:15:30,576 - pyskl - INFO - Saving checkpoint at 41 epochs +2023-12-23 12:16:31,172 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 12:16:31,228 - pyskl - INFO - +top1_acc 0.8521 +top5_acc 0.9911 +2023-12-23 12:16:31,228 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 12:16:31,235 - pyskl - INFO - +mean_acc 0.7798 +2023-12-23 12:16:31,237 - pyskl - INFO - Epoch(val) [41][533] top1_acc: 0.8521, top5_acc: 0.9911, mean_class_accuracy: 0.7798 +2023-12-23 12:17:33,559 - pyskl - INFO - Epoch [42][100/1281] lr: 2.065e-02, eta: 15:59:30, time: 0.623, data_time: 0.193, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9981, loss_cls: 0.3552, loss: 0.3552 +2023-12-23 12:18:17,113 - pyskl - INFO - Epoch [42][200/1281] lr: 2.064e-02, eta: 15:58:55, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9969, loss_cls: 0.4183, loss: 0.4183 +2023-12-23 12:19:02,212 - pyskl - INFO - Epoch [42][300/1281] lr: 2.062e-02, eta: 15:58:24, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9962, loss_cls: 0.4019, loss: 0.4019 +2023-12-23 12:19:47,256 - pyskl - INFO - Epoch [42][400/1281] lr: 2.061e-02, eta: 15:57:52, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9944, loss_cls: 0.4203, loss: 0.4203 +2023-12-23 12:20:31,485 - pyskl - INFO - Epoch [42][500/1281] lr: 2.059e-02, eta: 15:57:19, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9956, loss_cls: 0.4460, loss: 0.4460 +2023-12-23 12:21:16,326 - pyskl - INFO - Epoch [42][600/1281] lr: 2.057e-02, eta: 15:56:47, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9956, loss_cls: 0.4703, loss: 0.4703 +2023-12-23 12:22:01,408 - pyskl - INFO - Epoch [42][700/1281] lr: 2.056e-02, eta: 15:56:15, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9981, loss_cls: 0.4487, loss: 0.4487 +2023-12-23 12:22:46,454 - pyskl - INFO - Epoch [42][800/1281] lr: 2.054e-02, eta: 15:55:44, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9969, loss_cls: 0.4760, loss: 0.4760 +2023-12-23 12:23:31,720 - pyskl - INFO - Epoch [42][900/1281] lr: 2.053e-02, eta: 15:55:13, time: 0.453, data_time: 0.000, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9944, loss_cls: 0.4313, loss: 0.4313 +2023-12-23 12:24:15,219 - pyskl - INFO - Epoch [42][1000/1281] lr: 2.051e-02, eta: 15:54:37, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9962, loss_cls: 0.4318, loss: 0.4318 +2023-12-23 12:24:58,135 - pyskl - INFO - Epoch [42][1100/1281] lr: 2.050e-02, eta: 15:54:00, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9994, loss_cls: 0.4397, loss: 0.4397 +2023-12-23 12:25:28,222 - pyskl - INFO - Epoch [42][1200/1281] lr: 2.048e-02, eta: 15:52:50, time: 0.301, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9931, loss_cls: 0.5149, loss: 0.5149 +2023-12-23 12:25:58,061 - pyskl - INFO - Saving checkpoint at 42 epochs +2023-12-23 12:26:57,519 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 12:26:57,592 - pyskl - INFO - +top1_acc 0.8173 +top5_acc 0.9804 +2023-12-23 12:26:57,592 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 12:26:57,609 - pyskl - INFO - +mean_acc 0.7727 +2023-12-23 12:26:57,615 - pyskl - INFO - Epoch(val) [42][533] top1_acc: 0.8173, top5_acc: 0.9804, mean_class_accuracy: 0.7727 +2023-12-23 12:28:03,851 - pyskl - INFO - Epoch [43][100/1281] lr: 2.045e-02, eta: 15:51:13, time: 0.662, data_time: 0.229, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9956, loss_cls: 0.4657, loss: 0.4657 +2023-12-23 12:28:46,870 - pyskl - INFO - Epoch [43][200/1281] lr: 2.044e-02, eta: 15:50:36, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9969, loss_cls: 0.4012, loss: 0.4012 +2023-12-23 12:29:29,820 - pyskl - INFO - Epoch [43][300/1281] lr: 2.042e-02, eta: 15:49:59, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9931, loss_cls: 0.4238, loss: 0.4238 +2023-12-23 12:30:13,260 - pyskl - INFO - Epoch [43][400/1281] lr: 2.040e-02, eta: 15:49:23, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9988, loss_cls: 0.3945, loss: 0.3945 +2023-12-23 12:30:56,678 - pyskl - INFO - Epoch [43][500/1281] lr: 2.039e-02, eta: 15:48:47, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9981, loss_cls: 0.4143, loss: 0.4143 +2023-12-23 12:31:39,946 - pyskl - INFO - Epoch [43][600/1281] lr: 2.037e-02, eta: 15:48:11, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9969, loss_cls: 0.3839, loss: 0.3839 +2023-12-23 12:32:24,188 - pyskl - INFO - Epoch [43][700/1281] lr: 2.036e-02, eta: 15:47:37, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9969, loss_cls: 0.4118, loss: 0.4118 +2023-12-23 12:33:07,884 - pyskl - INFO - Epoch [43][800/1281] lr: 2.034e-02, eta: 15:47:02, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9931, loss_cls: 0.4488, loss: 0.4488 +2023-12-23 12:33:51,136 - pyskl - INFO - Epoch [43][900/1281] lr: 2.033e-02, eta: 15:46:26, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9944, loss_cls: 0.4527, loss: 0.4527 +2023-12-23 12:34:34,247 - pyskl - INFO - Epoch [43][1000/1281] lr: 2.031e-02, eta: 15:45:49, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9962, loss_cls: 0.4162, loss: 0.4162 +2023-12-23 12:35:17,966 - pyskl - INFO - Epoch [43][1100/1281] lr: 2.029e-02, eta: 15:45:13, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9956, loss_cls: 0.4928, loss: 0.4928 +2023-12-23 12:35:49,861 - pyskl - INFO - Epoch [43][1200/1281] lr: 2.028e-02, eta: 15:44:09, time: 0.319, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9975, loss_cls: 0.4121, loss: 0.4121 +2023-12-23 12:36:18,676 - pyskl - INFO - Saving checkpoint at 43 epochs +2023-12-23 12:37:14,686 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 12:37:14,746 - pyskl - INFO - +top1_acc 0.8315 +top5_acc 0.9849 +2023-12-23 12:37:14,746 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 12:37:14,754 - pyskl - INFO - +mean_acc 0.7700 +2023-12-23 12:37:14,757 - pyskl - INFO - Epoch(val) [43][533] top1_acc: 0.8315, top5_acc: 0.9849, mean_class_accuracy: 0.7700 +2023-12-23 12:38:22,448 - pyskl - INFO - Epoch [44][100/1281] lr: 2.025e-02, eta: 15:42:36, time: 0.677, data_time: 0.227, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9975, loss_cls: 0.4242, loss: 0.4242 +2023-12-23 12:39:05,813 - pyskl - INFO - Epoch [44][200/1281] lr: 2.023e-02, eta: 15:42:00, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9944, loss_cls: 0.4243, loss: 0.4243 +2023-12-23 12:39:49,181 - pyskl - INFO - Epoch [44][300/1281] lr: 2.022e-02, eta: 15:41:24, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9962, loss_cls: 0.4126, loss: 0.4126 +2023-12-23 12:40:32,449 - pyskl - INFO - Epoch [44][400/1281] lr: 2.020e-02, eta: 15:40:47, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9975, loss_cls: 0.4631, loss: 0.4631 +2023-12-23 12:41:17,067 - pyskl - INFO - Epoch [44][500/1281] lr: 2.018e-02, eta: 15:40:14, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9981, loss_cls: 0.3798, loss: 0.3798 +2023-12-23 12:42:02,049 - pyskl - INFO - Epoch [44][600/1281] lr: 2.017e-02, eta: 15:39:42, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9981, loss_cls: 0.4318, loss: 0.4318 +2023-12-23 12:42:47,173 - pyskl - INFO - Epoch [44][700/1281] lr: 2.015e-02, eta: 15:39:10, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9969, loss_cls: 0.4205, loss: 0.4205 +2023-12-23 12:43:30,800 - pyskl - INFO - Epoch [44][800/1281] lr: 2.014e-02, eta: 15:38:34, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9931, loss_cls: 0.4667, loss: 0.4667 +2023-12-23 12:44:13,956 - pyskl - INFO - Epoch [44][900/1281] lr: 2.012e-02, eta: 15:37:57, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9962, loss_cls: 0.4277, loss: 0.4277 +2023-12-23 12:44:56,715 - pyskl - INFO - Epoch [44][1000/1281] lr: 2.010e-02, eta: 15:37:20, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9969, loss_cls: 0.4541, loss: 0.4541 +2023-12-23 12:45:40,035 - pyskl - INFO - Epoch [44][1100/1281] lr: 2.009e-02, eta: 15:36:43, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9956, loss_cls: 0.4306, loss: 0.4306 +2023-12-23 12:46:10,251 - pyskl - INFO - Epoch [44][1200/1281] lr: 2.007e-02, eta: 15:35:35, time: 0.302, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9956, loss_cls: 0.4619, loss: 0.4619 +2023-12-23 12:46:41,177 - pyskl - INFO - Saving checkpoint at 44 epochs +2023-12-23 12:47:41,193 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 12:47:41,268 - pyskl - INFO - +top1_acc 0.8720 +top5_acc 0.9901 +2023-12-23 12:47:41,268 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 12:47:41,280 - pyskl - INFO - +mean_acc 0.8142 +2023-12-23 12:47:41,287 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_32.pth was removed +2023-12-23 12:47:41,541 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_44.pth. +2023-12-23 12:47:41,541 - pyskl - INFO - Best top1_acc is 0.8720 at 44 epoch. +2023-12-23 12:47:41,544 - pyskl - INFO - Epoch(val) [44][533] top1_acc: 0.8720, top5_acc: 0.9901, mean_class_accuracy: 0.8142 +2023-12-23 12:48:47,623 - pyskl - INFO - Epoch [45][100/1281] lr: 2.004e-02, eta: 15:33:59, time: 0.661, data_time: 0.233, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9969, loss_cls: 0.4268, loss: 0.4268 +2023-12-23 12:49:30,719 - pyskl - INFO - Epoch [45][200/1281] lr: 2.003e-02, eta: 15:33:22, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9962, loss_cls: 0.4009, loss: 0.4009 +2023-12-23 12:50:13,987 - pyskl - INFO - Epoch [45][300/1281] lr: 2.001e-02, eta: 15:32:45, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9962, loss_cls: 0.4281, loss: 0.4281 +2023-12-23 12:50:57,281 - pyskl - INFO - Epoch [45][400/1281] lr: 1.999e-02, eta: 15:32:09, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9925, loss_cls: 0.4565, loss: 0.4565 +2023-12-23 12:51:40,725 - pyskl - INFO - Epoch [45][500/1281] lr: 1.998e-02, eta: 15:31:33, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9962, loss_cls: 0.3783, loss: 0.3783 +2023-12-23 12:52:24,061 - pyskl - INFO - Epoch [45][600/1281] lr: 1.996e-02, eta: 15:30:56, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9981, loss_cls: 0.4478, loss: 0.4478 +2023-12-23 12:53:06,936 - pyskl - INFO - Epoch [45][700/1281] lr: 1.994e-02, eta: 15:30:19, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9962, loss_cls: 0.4229, loss: 0.4229 +2023-12-23 12:53:50,240 - pyskl - INFO - Epoch [45][800/1281] lr: 1.993e-02, eta: 15:29:42, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9994, loss_cls: 0.3672, loss: 0.3672 +2023-12-23 12:54:34,976 - pyskl - INFO - Epoch [45][900/1281] lr: 1.991e-02, eta: 15:29:09, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9962, loss_cls: 0.4055, loss: 0.4055 +2023-12-23 12:55:20,344 - pyskl - INFO - Epoch [45][1000/1281] lr: 1.989e-02, eta: 15:28:37, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9962, loss_cls: 0.4516, loss: 0.4516 +2023-12-23 12:56:05,412 - pyskl - INFO - Epoch [45][1100/1281] lr: 1.988e-02, eta: 15:28:04, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9944, loss_cls: 0.4277, loss: 0.4277 +2023-12-23 12:56:34,679 - pyskl - INFO - Epoch [45][1200/1281] lr: 1.986e-02, eta: 15:26:55, time: 0.293, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9969, loss_cls: 0.4244, loss: 0.4244 +2023-12-23 12:57:06,295 - pyskl - INFO - Saving checkpoint at 45 epochs +2023-12-23 12:58:04,164 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 12:58:04,225 - pyskl - INFO - +top1_acc 0.8423 +top5_acc 0.9866 +2023-12-23 12:58:04,226 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 12:58:04,240 - pyskl - INFO - +mean_acc 0.7755 +2023-12-23 12:58:04,245 - pyskl - INFO - Epoch(val) [45][533] top1_acc: 0.8423, top5_acc: 0.9866, mean_class_accuracy: 0.7755 +2023-12-23 12:59:10,912 - pyskl - INFO - Epoch [46][100/1281] lr: 1.983e-02, eta: 15:25:21, time: 0.667, data_time: 0.233, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9975, loss_cls: 0.4257, loss: 0.4257 +2023-12-23 12:59:54,110 - pyskl - INFO - Epoch [46][200/1281] lr: 1.981e-02, eta: 15:24:44, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9969, loss_cls: 0.3812, loss: 0.3812 +2023-12-23 13:00:37,430 - pyskl - INFO - Epoch [46][300/1281] lr: 1.980e-02, eta: 15:24:07, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9975, loss_cls: 0.4378, loss: 0.4378 +2023-12-23 13:01:20,513 - pyskl - INFO - Epoch [46][400/1281] lr: 1.978e-02, eta: 15:23:30, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9975, loss_cls: 0.4155, loss: 0.4155 +2023-12-23 13:02:03,740 - pyskl - INFO - Epoch [46][500/1281] lr: 1.976e-02, eta: 15:22:53, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.3955, loss: 0.3955 +2023-12-23 13:02:47,054 - pyskl - INFO - Epoch [46][600/1281] lr: 1.975e-02, eta: 15:22:16, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9969, loss_cls: 0.4972, loss: 0.4972 +2023-12-23 13:03:30,214 - pyskl - INFO - Epoch [46][700/1281] lr: 1.973e-02, eta: 15:21:39, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9931, loss_cls: 0.5053, loss: 0.5053 +2023-12-23 13:04:13,595 - pyskl - INFO - Epoch [46][800/1281] lr: 1.971e-02, eta: 15:21:03, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9962, loss_cls: 0.4357, loss: 0.4357 +2023-12-23 13:04:56,960 - pyskl - INFO - Epoch [46][900/1281] lr: 1.970e-02, eta: 15:20:26, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9969, loss_cls: 0.4157, loss: 0.4157 +2023-12-23 13:05:39,961 - pyskl - INFO - Epoch [46][1000/1281] lr: 1.968e-02, eta: 15:19:48, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9950, loss_cls: 0.4566, loss: 0.4566 +2023-12-23 13:06:23,160 - pyskl - INFO - Epoch [46][1100/1281] lr: 1.966e-02, eta: 15:19:11, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9994, loss_cls: 0.3698, loss: 0.3698 +2023-12-23 13:06:52,504 - pyskl - INFO - Epoch [46][1200/1281] lr: 1.965e-02, eta: 15:18:03, time: 0.293, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 0.3742, loss: 0.3742 +2023-12-23 13:07:24,023 - pyskl - INFO - Saving checkpoint at 46 epochs +2023-12-23 13:08:24,122 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 13:08:24,180 - pyskl - INFO - +top1_acc 0.8619 +top5_acc 0.9914 +2023-12-23 13:08:24,181 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 13:08:24,191 - pyskl - INFO - +mean_acc 0.8112 +2023-12-23 13:08:24,204 - pyskl - INFO - Epoch(val) [46][533] top1_acc: 0.8619, top5_acc: 0.9914, mean_class_accuracy: 0.8112 +2023-12-23 13:09:31,905 - pyskl - INFO - Epoch [47][100/1281] lr: 1.962e-02, eta: 15:16:32, time: 0.677, data_time: 0.234, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9969, loss_cls: 0.4197, loss: 0.4197 +2023-12-23 13:10:15,414 - pyskl - INFO - Epoch [47][200/1281] lr: 1.960e-02, eta: 15:15:56, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9975, loss_cls: 0.4136, loss: 0.4136 +2023-12-23 13:10:58,593 - pyskl - INFO - Epoch [47][300/1281] lr: 1.958e-02, eta: 15:15:18, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9950, loss_cls: 0.4563, loss: 0.4563 +2023-12-23 13:11:41,942 - pyskl - INFO - Epoch [47][400/1281] lr: 1.957e-02, eta: 15:14:42, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9962, loss_cls: 0.3318, loss: 0.3318 +2023-12-23 13:12:25,558 - pyskl - INFO - Epoch [47][500/1281] lr: 1.955e-02, eta: 15:14:05, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9950, loss_cls: 0.3792, loss: 0.3792 +2023-12-23 13:13:10,852 - pyskl - INFO - Epoch [47][600/1281] lr: 1.953e-02, eta: 15:13:33, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9969, loss_cls: 0.4028, loss: 0.4028 +2023-12-23 13:13:55,116 - pyskl - INFO - Epoch [47][700/1281] lr: 1.952e-02, eta: 15:12:58, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9956, loss_cls: 0.4145, loss: 0.4145 +2023-12-23 13:14:39,900 - pyskl - INFO - Epoch [47][800/1281] lr: 1.950e-02, eta: 15:12:24, time: 0.448, data_time: 0.000, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9950, loss_cls: 0.4355, loss: 0.4355 +2023-12-23 13:15:23,406 - pyskl - INFO - Epoch [47][900/1281] lr: 1.948e-02, eta: 15:11:48, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9956, loss_cls: 0.3938, loss: 0.3938 +2023-12-23 13:16:06,730 - pyskl - INFO - Epoch [47][1000/1281] lr: 1.947e-02, eta: 15:11:11, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9938, loss_cls: 0.5043, loss: 0.5043 +2023-12-23 13:16:51,233 - pyskl - INFO - Epoch [47][1100/1281] lr: 1.945e-02, eta: 15:10:37, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9944, loss_cls: 0.4520, loss: 0.4520 +2023-12-23 13:17:20,589 - pyskl - INFO - Epoch [47][1200/1281] lr: 1.943e-02, eta: 15:09:29, time: 0.294, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9969, loss_cls: 0.3958, loss: 0.3958 +2023-12-23 13:17:51,646 - pyskl - INFO - Saving checkpoint at 47 epochs +2023-12-23 13:18:47,888 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 13:18:47,953 - pyskl - INFO - +top1_acc 0.8552 +top5_acc 0.9876 +2023-12-23 13:18:47,953 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 13:18:47,961 - pyskl - INFO - +mean_acc 0.8089 +2023-12-23 13:18:47,964 - pyskl - INFO - Epoch(val) [47][533] top1_acc: 0.8552, top5_acc: 0.9876, mean_class_accuracy: 0.8089 +2023-12-23 13:19:55,739 - pyskl - INFO - Epoch [48][100/1281] lr: 1.940e-02, eta: 15:07:59, time: 0.678, data_time: 0.232, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9988, loss_cls: 0.4138, loss: 0.4138 +2023-12-23 13:20:39,039 - pyskl - INFO - Epoch [48][200/1281] lr: 1.938e-02, eta: 15:07:22, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9981, loss_cls: 0.3830, loss: 0.3830 +2023-12-23 13:21:22,318 - pyskl - INFO - Epoch [48][300/1281] lr: 1.937e-02, eta: 15:06:45, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9981, loss_cls: 0.4498, loss: 0.4498 +2023-12-23 13:22:05,440 - pyskl - INFO - Epoch [48][400/1281] lr: 1.935e-02, eta: 15:06:07, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9956, loss_cls: 0.4004, loss: 0.4004 +2023-12-23 13:22:48,498 - pyskl - INFO - Epoch [48][500/1281] lr: 1.933e-02, eta: 15:05:29, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9956, loss_cls: 0.3711, loss: 0.3711 +2023-12-23 13:23:31,715 - pyskl - INFO - Epoch [48][600/1281] lr: 1.932e-02, eta: 15:04:52, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9962, loss_cls: 0.3767, loss: 0.3767 +2023-12-23 13:24:15,039 - pyskl - INFO - Epoch [48][700/1281] lr: 1.930e-02, eta: 15:04:15, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9981, loss_cls: 0.3809, loss: 0.3809 +2023-12-23 13:24:58,361 - pyskl - INFO - Epoch [48][800/1281] lr: 1.928e-02, eta: 15:03:38, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9950, loss_cls: 0.4151, loss: 0.4151 +2023-12-23 13:25:41,720 - pyskl - INFO - Epoch [48][900/1281] lr: 1.926e-02, eta: 15:03:01, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9962, loss_cls: 0.4580, loss: 0.4580 +2023-12-23 13:26:24,429 - pyskl - INFO - Epoch [48][1000/1281] lr: 1.925e-02, eta: 15:02:23, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9950, loss_cls: 0.4295, loss: 0.4295 +2023-12-23 13:27:07,648 - pyskl - INFO - Epoch [48][1100/1281] lr: 1.923e-02, eta: 15:01:45, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9962, loss_cls: 0.4119, loss: 0.4119 +2023-12-23 13:27:37,161 - pyskl - INFO - Epoch [48][1200/1281] lr: 1.921e-02, eta: 15:00:39, time: 0.295, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9969, loss_cls: 0.4356, loss: 0.4356 +2023-12-23 13:28:08,241 - pyskl - INFO - Saving checkpoint at 48 epochs +2023-12-23 13:29:08,123 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 13:29:08,194 - pyskl - INFO - +top1_acc 0.8756 +top5_acc 0.9914 +2023-12-23 13:29:08,195 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 13:29:08,212 - pyskl - INFO - +mean_acc 0.8174 +2023-12-23 13:29:08,221 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_44.pth was removed +2023-12-23 13:29:08,470 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_48.pth. +2023-12-23 13:29:08,470 - pyskl - INFO - Best top1_acc is 0.8756 at 48 epoch. +2023-12-23 13:29:08,473 - pyskl - INFO - Epoch(val) [48][533] top1_acc: 0.8756, top5_acc: 0.9914, mean_class_accuracy: 0.8174 +2023-12-23 13:30:14,752 - pyskl - INFO - Epoch [49][100/1281] lr: 1.918e-02, eta: 14:59:06, time: 0.663, data_time: 0.222, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 0.3829, loss: 0.3829 +2023-12-23 13:30:59,796 - pyskl - INFO - Epoch [49][200/1281] lr: 1.916e-02, eta: 14:58:32, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 0.3735, loss: 0.3735 +2023-12-23 13:31:45,110 - pyskl - INFO - Epoch [49][300/1281] lr: 1.915e-02, eta: 14:57:59, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9988, loss_cls: 0.3634, loss: 0.3634 +2023-12-23 13:32:30,383 - pyskl - INFO - Epoch [49][400/1281] lr: 1.913e-02, eta: 14:57:26, time: 0.453, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9969, loss_cls: 0.3667, loss: 0.3667 +2023-12-23 13:33:15,621 - pyskl - INFO - Epoch [49][500/1281] lr: 1.911e-02, eta: 14:56:53, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9981, loss_cls: 0.3708, loss: 0.3708 +2023-12-23 13:34:00,043 - pyskl - INFO - Epoch [49][600/1281] lr: 1.909e-02, eta: 14:56:18, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9981, loss_cls: 0.3777, loss: 0.3777 +2023-12-23 13:34:44,271 - pyskl - INFO - Epoch [49][700/1281] lr: 1.908e-02, eta: 14:55:43, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9988, loss_cls: 0.3922, loss: 0.3922 +2023-12-23 13:35:29,612 - pyskl - INFO - Epoch [49][800/1281] lr: 1.906e-02, eta: 14:55:10, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9950, loss_cls: 0.4408, loss: 0.4408 +2023-12-23 13:36:14,899 - pyskl - INFO - Epoch [49][900/1281] lr: 1.904e-02, eta: 14:54:37, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9956, loss_cls: 0.4353, loss: 0.4353 +2023-12-23 13:37:00,202 - pyskl - INFO - Epoch [49][1000/1281] lr: 1.902e-02, eta: 14:54:04, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9969, loss_cls: 0.4406, loss: 0.4406 +2023-12-23 13:37:45,082 - pyskl - INFO - Epoch [49][1100/1281] lr: 1.901e-02, eta: 14:53:29, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9962, loss_cls: 0.3923, loss: 0.3923 +2023-12-23 13:38:14,985 - pyskl - INFO - Epoch [49][1200/1281] lr: 1.899e-02, eta: 14:52:24, time: 0.299, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9981, loss_cls: 0.3930, loss: 0.3930 +2023-12-23 13:38:46,467 - pyskl - INFO - Saving checkpoint at 49 epochs +2023-12-23 13:39:47,629 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 13:39:47,712 - pyskl - INFO - +top1_acc 0.8771 +top5_acc 0.9917 +2023-12-23 13:39:47,712 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 13:39:47,722 - pyskl - INFO - +mean_acc 0.8396 +2023-12-23 13:39:47,728 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_48.pth was removed +2023-12-23 13:39:47,980 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth. +2023-12-23 13:39:47,980 - pyskl - INFO - Best top1_acc is 0.8771 at 49 epoch. +2023-12-23 13:39:47,983 - pyskl - INFO - Epoch(val) [49][533] top1_acc: 0.8771, top5_acc: 0.9917, mean_class_accuracy: 0.8396 +2023-12-23 13:40:54,216 - pyskl - INFO - Epoch [50][100/1281] lr: 1.896e-02, eta: 14:50:52, time: 0.662, data_time: 0.229, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 0.3816, loss: 0.3816 +2023-12-23 13:41:39,252 - pyskl - INFO - Epoch [50][200/1281] lr: 1.894e-02, eta: 14:50:18, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 0.3720, loss: 0.3720 +2023-12-23 13:42:23,664 - pyskl - INFO - Epoch [50][300/1281] lr: 1.892e-02, eta: 14:49:43, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9950, loss_cls: 0.4008, loss: 0.4008 +2023-12-23 13:43:08,241 - pyskl - INFO - Epoch [50][400/1281] lr: 1.891e-02, eta: 14:49:08, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9981, loss_cls: 0.3903, loss: 0.3903 +2023-12-23 13:43:53,453 - pyskl - INFO - Epoch [50][500/1281] lr: 1.889e-02, eta: 14:48:35, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9975, loss_cls: 0.3961, loss: 0.3961 +2023-12-23 13:44:38,518 - pyskl - INFO - Epoch [50][600/1281] lr: 1.887e-02, eta: 14:48:01, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9962, loss_cls: 0.4310, loss: 0.4310 +2023-12-23 13:45:23,647 - pyskl - INFO - Epoch [50][700/1281] lr: 1.885e-02, eta: 14:47:27, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9962, loss_cls: 0.4012, loss: 0.4012 +2023-12-23 13:46:07,330 - pyskl - INFO - Epoch [50][800/1281] lr: 1.884e-02, eta: 14:46:50, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9975, loss_cls: 0.4559, loss: 0.4559 +2023-12-23 13:46:50,225 - pyskl - INFO - Epoch [50][900/1281] lr: 1.882e-02, eta: 14:46:12, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9969, loss_cls: 0.4027, loss: 0.4027 +2023-12-23 13:47:33,418 - pyskl - INFO - Epoch [50][1000/1281] lr: 1.880e-02, eta: 14:45:34, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9969, loss_cls: 0.3903, loss: 0.3903 +2023-12-23 13:48:16,993 - pyskl - INFO - Epoch [50][1100/1281] lr: 1.878e-02, eta: 14:44:57, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9950, loss_cls: 0.3935, loss: 0.3935 +2023-12-23 13:48:46,179 - pyskl - INFO - Epoch [50][1200/1281] lr: 1.876e-02, eta: 14:43:51, time: 0.292, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9931, loss_cls: 0.4349, loss: 0.4349 +2023-12-23 13:49:17,622 - pyskl - INFO - Saving checkpoint at 50 epochs +2023-12-23 13:50:16,993 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 13:50:17,059 - pyskl - INFO - +top1_acc 0.8690 +top5_acc 0.9916 +2023-12-23 13:50:17,060 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 13:50:17,074 - pyskl - INFO - +mean_acc 0.8303 +2023-12-23 13:50:17,079 - pyskl - INFO - Epoch(val) [50][533] top1_acc: 0.8690, top5_acc: 0.9916, mean_class_accuracy: 0.8303 +2023-12-23 13:51:21,704 - pyskl - INFO - Epoch [51][100/1281] lr: 1.873e-02, eta: 14:42:16, time: 0.646, data_time: 0.216, memory: 4120, top1_acc: 0.9081, top5_acc: 1.0000, loss_cls: 0.3658, loss: 0.3658 +2023-12-23 13:52:04,992 - pyskl - INFO - Epoch [51][200/1281] lr: 1.871e-02, eta: 14:41:38, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9962, loss_cls: 0.3715, loss: 0.3715 +2023-12-23 13:52:48,241 - pyskl - INFO - Epoch [51][300/1281] lr: 1.870e-02, eta: 14:41:01, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9994, loss_cls: 0.3457, loss: 0.3457 +2023-12-23 13:53:32,546 - pyskl - INFO - Epoch [51][400/1281] lr: 1.868e-02, eta: 14:40:25, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9981, loss_cls: 0.3493, loss: 0.3493 +2023-12-23 13:54:17,581 - pyskl - INFO - Epoch [51][500/1281] lr: 1.866e-02, eta: 14:39:51, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 0.3765, loss: 0.3765 +2023-12-23 13:55:01,521 - pyskl - INFO - Epoch [51][600/1281] lr: 1.864e-02, eta: 14:39:15, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9950, loss_cls: 0.4252, loss: 0.4252 +2023-12-23 13:55:44,655 - pyskl - INFO - Epoch [51][700/1281] lr: 1.863e-02, eta: 14:38:37, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9950, loss_cls: 0.4428, loss: 0.4428 +2023-12-23 13:56:28,318 - pyskl - INFO - Epoch [51][800/1281] lr: 1.861e-02, eta: 14:38:00, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9969, loss_cls: 0.4049, loss: 0.4049 +2023-12-23 13:57:13,391 - pyskl - INFO - Epoch [51][900/1281] lr: 1.859e-02, eta: 14:37:26, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9981, loss_cls: 0.3580, loss: 0.3580 +2023-12-23 13:57:58,540 - pyskl - INFO - Epoch [51][1000/1281] lr: 1.857e-02, eta: 14:36:52, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9975, loss_cls: 0.4523, loss: 0.4523 +2023-12-23 13:58:43,388 - pyskl - INFO - Epoch [51][1100/1281] lr: 1.855e-02, eta: 14:36:17, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 1.0000, loss_cls: 0.3794, loss: 0.3794 +2023-12-23 13:59:13,115 - pyskl - INFO - Epoch [51][1200/1281] lr: 1.854e-02, eta: 14:35:13, time: 0.297, data_time: 0.000, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9975, loss_cls: 0.4030, loss: 0.4030 +2023-12-23 13:59:44,124 - pyskl - INFO - Saving checkpoint at 51 epochs +2023-12-23 14:00:43,693 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 14:00:43,782 - pyskl - INFO - +top1_acc 0.8684 +top5_acc 0.9898 +2023-12-23 14:00:43,782 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 14:00:43,790 - pyskl - INFO - +mean_acc 0.8264 +2023-12-23 14:00:43,792 - pyskl - INFO - Epoch(val) [51][533] top1_acc: 0.8684, top5_acc: 0.9898, mean_class_accuracy: 0.8264 +2023-12-23 14:01:50,671 - pyskl - INFO - Epoch [52][100/1281] lr: 1.850e-02, eta: 14:33:43, time: 0.669, data_time: 0.234, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9994, loss_cls: 0.3631, loss: 0.3631 +2023-12-23 14:02:33,998 - pyskl - INFO - Epoch [52][200/1281] lr: 1.849e-02, eta: 14:33:05, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.3358, loss: 0.3358 +2023-12-23 14:03:16,995 - pyskl - INFO - Epoch [52][300/1281] lr: 1.847e-02, eta: 14:32:27, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 0.3559, loss: 0.3559 +2023-12-23 14:04:00,688 - pyskl - INFO - Epoch [52][400/1281] lr: 1.845e-02, eta: 14:31:50, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9962, loss_cls: 0.3837, loss: 0.3837 +2023-12-23 14:04:45,897 - pyskl - INFO - Epoch [52][500/1281] lr: 1.843e-02, eta: 14:31:16, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9962, loss_cls: 0.4053, loss: 0.4053 +2023-12-23 14:05:31,070 - pyskl - INFO - Epoch [52][600/1281] lr: 1.841e-02, eta: 14:30:42, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9981, loss_cls: 0.3960, loss: 0.3960 +2023-12-23 14:06:16,113 - pyskl - INFO - Epoch [52][700/1281] lr: 1.840e-02, eta: 14:30:07, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.3854, loss: 0.3854 +2023-12-23 14:06:59,841 - pyskl - INFO - Epoch [52][800/1281] lr: 1.838e-02, eta: 14:29:30, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9969, loss_cls: 0.4361, loss: 0.4361 +2023-12-23 14:07:42,577 - pyskl - INFO - Epoch [52][900/1281] lr: 1.836e-02, eta: 14:28:51, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9969, loss_cls: 0.3688, loss: 0.3688 +2023-12-23 14:08:25,871 - pyskl - INFO - Epoch [52][1000/1281] lr: 1.834e-02, eta: 14:28:14, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9988, loss_cls: 0.3722, loss: 0.3722 +2023-12-23 14:09:09,281 - pyskl - INFO - Epoch [52][1100/1281] lr: 1.832e-02, eta: 14:27:36, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 0.3978, loss: 0.3978 +2023-12-23 14:09:38,976 - pyskl - INFO - Epoch [52][1200/1281] lr: 1.831e-02, eta: 14:26:32, time: 0.297, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9956, loss_cls: 0.3619, loss: 0.3619 +2023-12-23 14:10:09,841 - pyskl - INFO - Saving checkpoint at 52 epochs +2023-12-23 14:11:10,377 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 14:11:10,432 - pyskl - INFO - +top1_acc 0.8576 +top5_acc 0.9856 +2023-12-23 14:11:10,432 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 14:11:10,439 - pyskl - INFO - +mean_acc 0.8270 +2023-12-23 14:11:10,441 - pyskl - INFO - Epoch(val) [52][533] top1_acc: 0.8576, top5_acc: 0.9856, mean_class_accuracy: 0.8270 +2023-12-23 14:12:14,763 - pyskl - INFO - Epoch [53][100/1281] lr: 1.827e-02, eta: 14:24:58, time: 0.643, data_time: 0.196, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9969, loss_cls: 0.3439, loss: 0.3439 +2023-12-23 14:13:00,126 - pyskl - INFO - Epoch [53][200/1281] lr: 1.826e-02, eta: 14:24:24, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9962, loss_cls: 0.3672, loss: 0.3672 +2023-12-23 14:13:45,627 - pyskl - INFO - Epoch [53][300/1281] lr: 1.824e-02, eta: 14:23:50, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9994, loss_cls: 0.3870, loss: 0.3870 +2023-12-23 14:14:30,883 - pyskl - INFO - Epoch [53][400/1281] lr: 1.822e-02, eta: 14:23:16, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 0.3515, loss: 0.3515 +2023-12-23 14:15:15,522 - pyskl - INFO - Epoch [53][500/1281] lr: 1.820e-02, eta: 14:22:41, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 0.3787, loss: 0.3787 +2023-12-23 14:15:59,800 - pyskl - INFO - Epoch [53][600/1281] lr: 1.818e-02, eta: 14:22:05, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9944, loss_cls: 0.3941, loss: 0.3941 +2023-12-23 14:16:45,066 - pyskl - INFO - Epoch [53][700/1281] lr: 1.816e-02, eta: 14:21:30, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9956, loss_cls: 0.3890, loss: 0.3890 +2023-12-23 14:17:30,387 - pyskl - INFO - Epoch [53][800/1281] lr: 1.815e-02, eta: 14:20:56, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9969, loss_cls: 0.4231, loss: 0.4231 +2023-12-23 14:18:15,141 - pyskl - INFO - Epoch [53][900/1281] lr: 1.813e-02, eta: 14:20:21, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9962, loss_cls: 0.4164, loss: 0.4164 +2023-12-23 14:18:58,277 - pyskl - INFO - Epoch [53][1000/1281] lr: 1.811e-02, eta: 14:19:43, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9950, loss_cls: 0.4009, loss: 0.4009 +2023-12-23 14:19:41,590 - pyskl - INFO - Epoch [53][1100/1281] lr: 1.809e-02, eta: 14:19:05, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9988, loss_cls: 0.3800, loss: 0.3800 +2023-12-23 14:20:11,645 - pyskl - INFO - Epoch [53][1200/1281] lr: 1.807e-02, eta: 14:18:02, time: 0.301, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9962, loss_cls: 0.3575, loss: 0.3575 +2023-12-23 14:20:42,310 - pyskl - INFO - Saving checkpoint at 53 epochs +2023-12-23 14:21:40,943 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 14:21:41,014 - pyskl - INFO - +top1_acc 0.8776 +top5_acc 0.9935 +2023-12-23 14:21:41,015 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 14:21:41,024 - pyskl - INFO - +mean_acc 0.8359 +2023-12-23 14:21:41,029 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_49.pth was removed +2023-12-23 14:21:41,281 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_53.pth. +2023-12-23 14:21:41,281 - pyskl - INFO - Best top1_acc is 0.8776 at 53 epoch. +2023-12-23 14:21:41,284 - pyskl - INFO - Epoch(val) [53][533] top1_acc: 0.8776, top5_acc: 0.9935, mean_class_accuracy: 0.8359 +2023-12-23 14:22:47,646 - pyskl - INFO - Epoch [54][100/1281] lr: 1.804e-02, eta: 14:16:32, time: 0.664, data_time: 0.231, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 0.3199, loss: 0.3199 +2023-12-23 14:23:32,703 - pyskl - INFO - Epoch [54][200/1281] lr: 1.802e-02, eta: 14:15:57, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9962, loss_cls: 0.3820, loss: 0.3820 +2023-12-23 14:24:16,695 - pyskl - INFO - Epoch [54][300/1281] lr: 1.800e-02, eta: 14:15:20, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 0.3837, loss: 0.3837 +2023-12-23 14:25:01,751 - pyskl - INFO - Epoch [54][400/1281] lr: 1.798e-02, eta: 14:14:46, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 0.3661, loss: 0.3661 +2023-12-23 14:25:45,113 - pyskl - INFO - Epoch [54][500/1281] lr: 1.797e-02, eta: 14:14:08, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9981, loss_cls: 0.3916, loss: 0.3916 +2023-12-23 14:26:28,212 - pyskl - INFO - Epoch [54][600/1281] lr: 1.795e-02, eta: 14:13:29, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9975, loss_cls: 0.3590, loss: 0.3590 +2023-12-23 14:27:12,054 - pyskl - INFO - Epoch [54][700/1281] lr: 1.793e-02, eta: 14:12:52, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9975, loss_cls: 0.3764, loss: 0.3764 +2023-12-23 14:27:57,195 - pyskl - INFO - Epoch [54][800/1281] lr: 1.791e-02, eta: 14:12:18, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9950, loss_cls: 0.3973, loss: 0.3973 +2023-12-23 14:28:41,002 - pyskl - INFO - Epoch [54][900/1281] lr: 1.789e-02, eta: 14:11:40, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9988, loss_cls: 0.3879, loss: 0.3879 +2023-12-23 14:29:24,363 - pyskl - INFO - Epoch [54][1000/1281] lr: 1.787e-02, eta: 14:11:03, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 0.3863, loss: 0.3863 +2023-12-23 14:30:07,688 - pyskl - INFO - Epoch [54][1100/1281] lr: 1.786e-02, eta: 14:10:24, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9988, loss_cls: 0.3899, loss: 0.3899 +2023-12-23 14:30:38,485 - pyskl - INFO - Epoch [54][1200/1281] lr: 1.784e-02, eta: 14:09:24, time: 0.308, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9969, loss_cls: 0.3887, loss: 0.3887 +2023-12-23 14:31:08,241 - pyskl - INFO - Saving checkpoint at 54 epochs +2023-12-23 14:32:06,571 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 14:32:06,634 - pyskl - INFO - +top1_acc 0.8731 +top5_acc 0.9897 +2023-12-23 14:32:06,634 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 14:32:06,643 - pyskl - INFO - +mean_acc 0.8270 +2023-12-23 14:32:06,646 - pyskl - INFO - Epoch(val) [54][533] top1_acc: 0.8731, top5_acc: 0.9897, mean_class_accuracy: 0.8270 +2023-12-23 14:33:09,060 - pyskl - INFO - Epoch [55][100/1281] lr: 1.780e-02, eta: 14:07:47, time: 0.624, data_time: 0.191, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.3822, loss: 0.3822 +2023-12-23 14:33:53,460 - pyskl - INFO - Epoch [55][200/1281] lr: 1.779e-02, eta: 14:07:11, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9988, loss_cls: 0.3509, loss: 0.3509 +2023-12-23 14:34:38,790 - pyskl - INFO - Epoch [55][300/1281] lr: 1.777e-02, eta: 14:06:36, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9969, loss_cls: 0.3460, loss: 0.3460 +2023-12-23 14:35:24,101 - pyskl - INFO - Epoch [55][400/1281] lr: 1.775e-02, eta: 14:06:02, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 0.3120, loss: 0.3120 +2023-12-23 14:36:08,581 - pyskl - INFO - Epoch [55][500/1281] lr: 1.773e-02, eta: 14:05:26, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9969, loss_cls: 0.3667, loss: 0.3667 +2023-12-23 14:36:53,067 - pyskl - INFO - Epoch [55][600/1281] lr: 1.771e-02, eta: 14:04:50, time: 0.445, data_time: 0.000, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9975, loss_cls: 0.3782, loss: 0.3782 +2023-12-23 14:37:38,035 - pyskl - INFO - Epoch [55][700/1281] lr: 1.769e-02, eta: 14:04:15, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9962, loss_cls: 0.4037, loss: 0.4037 +2023-12-23 14:38:23,195 - pyskl - INFO - Epoch [55][800/1281] lr: 1.767e-02, eta: 14:03:40, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9975, loss_cls: 0.3904, loss: 0.3904 +2023-12-23 14:39:08,389 - pyskl - INFO - Epoch [55][900/1281] lr: 1.766e-02, eta: 14:03:05, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9969, loss_cls: 0.3395, loss: 0.3395 +2023-12-23 14:39:53,486 - pyskl - INFO - Epoch [55][1000/1281] lr: 1.764e-02, eta: 14:02:30, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9956, loss_cls: 0.4040, loss: 0.4040 +2023-12-23 14:40:37,529 - pyskl - INFO - Epoch [55][1100/1281] lr: 1.762e-02, eta: 14:01:53, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9969, loss_cls: 0.4534, loss: 0.4534 +2023-12-23 14:41:10,576 - pyskl - INFO - Epoch [55][1200/1281] lr: 1.760e-02, eta: 14:00:57, time: 0.330, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9981, loss_cls: 0.4189, loss: 0.4189 +2023-12-23 14:41:39,107 - pyskl - INFO - Saving checkpoint at 55 epochs +2023-12-23 14:42:35,567 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 14:42:35,647 - pyskl - INFO - +top1_acc 0.8542 +top5_acc 0.9854 +2023-12-23 14:42:35,647 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 14:42:35,658 - pyskl - INFO - +mean_acc 0.7987 +2023-12-23 14:42:35,662 - pyskl - INFO - Epoch(val) [55][533] top1_acc: 0.8542, top5_acc: 0.9854, mean_class_accuracy: 0.7987 +2023-12-23 14:43:42,188 - pyskl - INFO - Epoch [56][100/1281] lr: 1.757e-02, eta: 13:59:27, time: 0.665, data_time: 0.227, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9969, loss_cls: 0.3483, loss: 0.3483 +2023-12-23 14:44:26,991 - pyskl - INFO - Epoch [56][200/1281] lr: 1.755e-02, eta: 13:58:51, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 0.2893, loss: 0.2893 +2023-12-23 14:45:10,970 - pyskl - INFO - Epoch [56][300/1281] lr: 1.753e-02, eta: 13:58:14, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9988, loss_cls: 0.3761, loss: 0.3761 +2023-12-23 14:45:56,177 - pyskl - INFO - Epoch [56][400/1281] lr: 1.751e-02, eta: 13:57:39, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9981, loss_cls: 0.3888, loss: 0.3888 +2023-12-23 14:46:41,281 - pyskl - INFO - Epoch [56][500/1281] lr: 1.749e-02, eta: 13:57:04, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9962, loss_cls: 0.3755, loss: 0.3755 +2023-12-23 14:47:26,441 - pyskl - INFO - Epoch [56][600/1281] lr: 1.747e-02, eta: 13:56:29, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9962, loss_cls: 0.3822, loss: 0.3822 +2023-12-23 14:48:10,450 - pyskl - INFO - Epoch [56][700/1281] lr: 1.745e-02, eta: 13:55:52, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 0.3015, loss: 0.3015 +2023-12-23 14:48:53,335 - pyskl - INFO - Epoch [56][800/1281] lr: 1.743e-02, eta: 13:55:13, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9950, loss_cls: 0.4074, loss: 0.4074 +2023-12-23 14:49:37,887 - pyskl - INFO - Epoch [56][900/1281] lr: 1.742e-02, eta: 13:54:37, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9981, loss_cls: 0.3616, loss: 0.3616 +2023-12-23 14:50:22,160 - pyskl - INFO - Epoch [56][1000/1281] lr: 1.740e-02, eta: 13:54:00, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9962, loss_cls: 0.3466, loss: 0.3466 +2023-12-23 14:51:05,449 - pyskl - INFO - Epoch [56][1100/1281] lr: 1.738e-02, eta: 13:53:22, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 0.3618, loss: 0.3618 +2023-12-23 14:51:38,874 - pyskl - INFO - Epoch [56][1200/1281] lr: 1.736e-02, eta: 13:52:27, time: 0.334, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9981, loss_cls: 0.3945, loss: 0.3945 +2023-12-23 14:52:05,740 - pyskl - INFO - Saving checkpoint at 56 epochs +2023-12-23 14:52:59,342 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 14:52:59,408 - pyskl - INFO - +top1_acc 0.8316 +top5_acc 0.9873 +2023-12-23 14:52:59,408 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 14:52:59,417 - pyskl - INFO - +mean_acc 0.7867 +2023-12-23 14:52:59,419 - pyskl - INFO - Epoch(val) [56][533] top1_acc: 0.8316, top5_acc: 0.9873, mean_class_accuracy: 0.7867 +2023-12-23 14:54:03,740 - pyskl - INFO - Epoch [57][100/1281] lr: 1.733e-02, eta: 13:50:54, time: 0.643, data_time: 0.193, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9975, loss_cls: 0.3354, loss: 0.3354 +2023-12-23 14:54:49,020 - pyskl - INFO - Epoch [57][200/1281] lr: 1.731e-02, eta: 13:50:19, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9988, loss_cls: 0.3629, loss: 0.3629 +2023-12-23 14:55:32,648 - pyskl - INFO - Epoch [57][300/1281] lr: 1.729e-02, eta: 13:49:41, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9956, loss_cls: 0.3599, loss: 0.3599 +2023-12-23 14:56:15,758 - pyskl - INFO - Epoch [57][400/1281] lr: 1.727e-02, eta: 13:49:02, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9988, loss_cls: 0.2944, loss: 0.2944 +2023-12-23 14:56:59,019 - pyskl - INFO - Epoch [57][500/1281] lr: 1.725e-02, eta: 13:48:24, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9962, loss_cls: 0.3833, loss: 0.3833 +2023-12-23 14:57:42,027 - pyskl - INFO - Epoch [57][600/1281] lr: 1.723e-02, eta: 13:47:45, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9988, loss_cls: 0.3525, loss: 0.3525 +2023-12-23 14:58:25,424 - pyskl - INFO - Epoch [57][700/1281] lr: 1.721e-02, eta: 13:47:07, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 0.3761, loss: 0.3761 +2023-12-23 14:59:08,889 - pyskl - INFO - Epoch [57][800/1281] lr: 1.719e-02, eta: 13:46:29, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 0.3507, loss: 0.3507 +2023-12-23 14:59:52,708 - pyskl - INFO - Epoch [57][900/1281] lr: 1.717e-02, eta: 13:45:51, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 0.4336, loss: 0.4336 +2023-12-23 15:00:37,874 - pyskl - INFO - Epoch [57][1000/1281] lr: 1.716e-02, eta: 13:45:16, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.9213, top5_acc: 1.0000, loss_cls: 0.3420, loss: 0.3420 +2023-12-23 15:01:21,230 - pyskl - INFO - Epoch [57][1100/1281] lr: 1.714e-02, eta: 13:44:37, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9981, loss_cls: 0.4005, loss: 0.4005 +2023-12-23 15:01:58,600 - pyskl - INFO - Epoch [57][1200/1281] lr: 1.712e-02, eta: 13:43:49, time: 0.374, data_time: 0.000, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9981, loss_cls: 0.3760, loss: 0.3760 +2023-12-23 15:02:22,544 - pyskl - INFO - Saving checkpoint at 57 epochs +2023-12-23 15:03:18,055 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 15:03:18,135 - pyskl - INFO - +top1_acc 0.8654 +top5_acc 0.9910 +2023-12-23 15:03:18,136 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 15:03:18,153 - pyskl - INFO - +mean_acc 0.8379 +2023-12-23 15:03:18,160 - pyskl - INFO - Epoch(val) [57][533] top1_acc: 0.8654, top5_acc: 0.9910, mean_class_accuracy: 0.8379 +2023-12-23 15:04:22,715 - pyskl - INFO - Epoch [58][100/1281] lr: 1.708e-02, eta: 13:42:17, time: 0.645, data_time: 0.212, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9969, loss_cls: 0.3815, loss: 0.3815 +2023-12-23 15:05:06,659 - pyskl - INFO - Epoch [58][200/1281] lr: 1.706e-02, eta: 13:41:40, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9988, loss_cls: 0.3215, loss: 0.3215 +2023-12-23 15:05:51,204 - pyskl - INFO - Epoch [58][300/1281] lr: 1.704e-02, eta: 13:41:03, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9975, loss_cls: 0.3457, loss: 0.3457 +2023-12-23 15:06:36,532 - pyskl - INFO - Epoch [58][400/1281] lr: 1.703e-02, eta: 13:40:28, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9962, loss_cls: 0.3724, loss: 0.3724 +2023-12-23 15:07:21,337 - pyskl - INFO - Epoch [58][500/1281] lr: 1.701e-02, eta: 13:39:52, time: 0.448, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9981, loss_cls: 0.3593, loss: 0.3593 +2023-12-23 15:08:06,604 - pyskl - INFO - Epoch [58][600/1281] lr: 1.699e-02, eta: 13:39:17, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.3585, loss: 0.3585 +2023-12-23 15:08:51,567 - pyskl - INFO - Epoch [58][700/1281] lr: 1.697e-02, eta: 13:38:41, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9981, loss_cls: 0.3819, loss: 0.3819 +2023-12-23 15:09:35,650 - pyskl - INFO - Epoch [58][800/1281] lr: 1.695e-02, eta: 13:38:03, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9981, loss_cls: 0.3958, loss: 0.3958 +2023-12-23 15:10:20,192 - pyskl - INFO - Epoch [58][900/1281] lr: 1.693e-02, eta: 13:37:27, time: 0.445, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9988, loss_cls: 0.3703, loss: 0.3703 +2023-12-23 15:11:04,871 - pyskl - INFO - Epoch [58][1000/1281] lr: 1.691e-02, eta: 13:36:50, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9988, loss_cls: 0.3318, loss: 0.3318 +2023-12-23 15:11:50,109 - pyskl - INFO - Epoch [58][1100/1281] lr: 1.689e-02, eta: 13:36:15, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9981, loss_cls: 0.4358, loss: 0.4358 +2023-12-23 15:12:29,288 - pyskl - INFO - Epoch [58][1200/1281] lr: 1.687e-02, eta: 13:35:30, time: 0.392, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9975, loss_cls: 0.3865, loss: 0.3865 +2023-12-23 15:12:50,880 - pyskl - INFO - Saving checkpoint at 58 epochs +2023-12-23 15:13:46,365 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 15:13:46,426 - pyskl - INFO - +top1_acc 0.8837 +top5_acc 0.9927 +2023-12-23 15:13:46,426 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 15:13:46,434 - pyskl - INFO - +mean_acc 0.8347 +2023-12-23 15:13:46,439 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_53.pth was removed +2023-12-23 15:13:46,629 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_58.pth. +2023-12-23 15:13:46,630 - pyskl - INFO - Best top1_acc is 0.8837 at 58 epoch. +2023-12-23 15:13:46,633 - pyskl - INFO - Epoch(val) [58][533] top1_acc: 0.8837, top5_acc: 0.9927, mean_class_accuracy: 0.8347 +2023-12-23 15:14:55,095 - pyskl - INFO - Epoch [59][100/1281] lr: 1.684e-02, eta: 13:34:04, time: 0.685, data_time: 0.235, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9975, loss_cls: 0.3793, loss: 0.3793 +2023-12-23 15:15:40,631 - pyskl - INFO - Epoch [59][200/1281] lr: 1.682e-02, eta: 13:33:29, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9981, loss_cls: 0.3440, loss: 0.3440 +2023-12-23 15:16:25,753 - pyskl - INFO - Epoch [59][300/1281] lr: 1.680e-02, eta: 13:32:53, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 1.0000, loss_cls: 0.3506, loss: 0.3506 +2023-12-23 15:17:10,497 - pyskl - INFO - Epoch [59][400/1281] lr: 1.678e-02, eta: 13:32:17, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 1.0000, loss_cls: 0.2935, loss: 0.2935 +2023-12-23 15:17:54,644 - pyskl - INFO - Epoch [59][500/1281] lr: 1.676e-02, eta: 13:31:40, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 0.2976, loss: 0.2976 +2023-12-23 15:18:39,722 - pyskl - INFO - Epoch [59][600/1281] lr: 1.674e-02, eta: 13:31:04, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9994, loss_cls: 0.3385, loss: 0.3385 +2023-12-23 15:19:24,921 - pyskl - INFO - Epoch [59][700/1281] lr: 1.672e-02, eta: 13:30:28, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9969, loss_cls: 0.3895, loss: 0.3895 +2023-12-23 15:20:09,938 - pyskl - INFO - Epoch [59][800/1281] lr: 1.670e-02, eta: 13:29:52, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 0.3497, loss: 0.3497 +2023-12-23 15:20:54,327 - pyskl - INFO - Epoch [59][900/1281] lr: 1.668e-02, eta: 13:29:15, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 0.3488, loss: 0.3488 +2023-12-23 15:21:37,288 - pyskl - INFO - Epoch [59][1000/1281] lr: 1.667e-02, eta: 13:28:36, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9994, loss_cls: 0.4047, loss: 0.4047 +2023-12-23 15:22:20,494 - pyskl - INFO - Epoch [59][1100/1281] lr: 1.665e-02, eta: 13:27:57, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 0.3674, loss: 0.3674 +2023-12-23 15:22:56,708 - pyskl - INFO - Epoch [59][1200/1281] lr: 1.663e-02, eta: 13:27:07, time: 0.362, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 1.0000, loss_cls: 0.3417, loss: 0.3417 +2023-12-23 15:23:21,184 - pyskl - INFO - Saving checkpoint at 59 epochs +2023-12-23 15:24:17,730 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 15:24:17,789 - pyskl - INFO - +top1_acc 0.8741 +top5_acc 0.9908 +2023-12-23 15:24:17,790 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 15:24:17,806 - pyskl - INFO - +mean_acc 0.8312 +2023-12-23 15:24:17,814 - pyskl - INFO - Epoch(val) [59][533] top1_acc: 0.8741, top5_acc: 0.9908, mean_class_accuracy: 0.8312 +2023-12-23 15:25:23,968 - pyskl - INFO - Epoch [60][100/1281] lr: 1.659e-02, eta: 13:25:38, time: 0.661, data_time: 0.230, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9975, loss_cls: 0.3037, loss: 0.3037 +2023-12-23 15:26:06,922 - pyskl - INFO - Epoch [60][200/1281] lr: 1.657e-02, eta: 13:24:59, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9988, loss_cls: 0.3845, loss: 0.3845 +2023-12-23 15:26:50,322 - pyskl - INFO - Epoch [60][300/1281] lr: 1.655e-02, eta: 13:24:20, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 1.0000, loss_cls: 0.3205, loss: 0.3205 +2023-12-23 15:27:33,701 - pyskl - INFO - Epoch [60][400/1281] lr: 1.653e-02, eta: 13:23:41, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9981, loss_cls: 0.3935, loss: 0.3935 +2023-12-23 15:28:16,977 - pyskl - INFO - Epoch [60][500/1281] lr: 1.651e-02, eta: 13:23:03, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9988, loss_cls: 0.3741, loss: 0.3741 +2023-12-23 15:29:00,362 - pyskl - INFO - Epoch [60][600/1281] lr: 1.650e-02, eta: 13:22:24, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9969, loss_cls: 0.3329, loss: 0.3329 +2023-12-23 15:29:43,527 - pyskl - INFO - Epoch [60][700/1281] lr: 1.648e-02, eta: 13:21:45, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 0.3171, loss: 0.3171 +2023-12-23 15:30:26,513 - pyskl - INFO - Epoch [60][800/1281] lr: 1.646e-02, eta: 13:21:06, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 1.0000, loss_cls: 0.3688, loss: 0.3688 +2023-12-23 15:31:11,384 - pyskl - INFO - Epoch [60][900/1281] lr: 1.644e-02, eta: 13:20:29, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9975, loss_cls: 0.3331, loss: 0.3331 +2023-12-23 15:31:56,534 - pyskl - INFO - Epoch [60][1000/1281] lr: 1.642e-02, eta: 13:19:53, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 0.3541, loss: 0.3541 +2023-12-23 15:32:40,472 - pyskl - INFO - Epoch [60][1100/1281] lr: 1.640e-02, eta: 13:19:15, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9962, loss_cls: 0.3220, loss: 0.3220 +2023-12-23 15:33:15,974 - pyskl - INFO - Epoch [60][1200/1281] lr: 1.638e-02, eta: 13:18:25, time: 0.355, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 1.0000, loss_cls: 0.3504, loss: 0.3504 +2023-12-23 15:33:42,243 - pyskl - INFO - Saving checkpoint at 60 epochs +2023-12-23 15:34:35,822 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 15:34:35,884 - pyskl - INFO - +top1_acc 0.8690 +top5_acc 0.9919 +2023-12-23 15:34:35,884 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 15:34:35,893 - pyskl - INFO - +mean_acc 0.8221 +2023-12-23 15:34:35,899 - pyskl - INFO - Epoch(val) [60][533] top1_acc: 0.8690, top5_acc: 0.9919, mean_class_accuracy: 0.8221 +2023-12-23 15:35:43,920 - pyskl - INFO - Epoch [61][100/1281] lr: 1.634e-02, eta: 13:16:59, time: 0.680, data_time: 0.228, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 0.3046, loss: 0.3046 +2023-12-23 15:36:29,105 - pyskl - INFO - Epoch [61][200/1281] lr: 1.632e-02, eta: 13:16:23, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9969, loss_cls: 0.3089, loss: 0.3089 +2023-12-23 15:37:14,136 - pyskl - INFO - Epoch [61][300/1281] lr: 1.630e-02, eta: 13:15:46, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 0.3047, loss: 0.3047 +2023-12-23 15:37:58,275 - pyskl - INFO - Epoch [61][400/1281] lr: 1.629e-02, eta: 13:15:09, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9969, loss_cls: 0.3336, loss: 0.3336 +2023-12-23 15:38:42,872 - pyskl - INFO - Epoch [61][500/1281] lr: 1.627e-02, eta: 13:14:32, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9988, loss_cls: 0.3571, loss: 0.3571 +2023-12-23 15:39:27,938 - pyskl - INFO - Epoch [61][600/1281] lr: 1.625e-02, eta: 13:13:56, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9988, loss_cls: 0.3606, loss: 0.3606 +2023-12-23 15:40:12,096 - pyskl - INFO - Epoch [61][700/1281] lr: 1.623e-02, eta: 13:13:18, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.2769, loss: 0.2769 +2023-12-23 15:40:55,539 - pyskl - INFO - Epoch [61][800/1281] lr: 1.621e-02, eta: 13:12:39, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9988, loss_cls: 0.3287, loss: 0.3287 +2023-12-23 15:41:40,393 - pyskl - INFO - Epoch [61][900/1281] lr: 1.619e-02, eta: 13:12:03, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9988, loss_cls: 0.3271, loss: 0.3271 +2023-12-23 15:42:24,535 - pyskl - INFO - Epoch [61][1000/1281] lr: 1.617e-02, eta: 13:11:25, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9981, loss_cls: 0.3646, loss: 0.3646 +2023-12-23 15:43:08,470 - pyskl - INFO - Epoch [61][1100/1281] lr: 1.615e-02, eta: 13:10:47, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9962, loss_cls: 0.3897, loss: 0.3897 +2023-12-23 15:43:43,538 - pyskl - INFO - Epoch [61][1200/1281] lr: 1.613e-02, eta: 13:09:56, time: 0.351, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9988, loss_cls: 0.4100, loss: 0.4100 +2023-12-23 15:44:08,572 - pyskl - INFO - Saving checkpoint at 61 epochs +2023-12-23 15:45:03,691 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 15:45:03,764 - pyskl - INFO - +top1_acc 0.8859 +top5_acc 0.9914 +2023-12-23 15:45:03,764 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 15:45:03,773 - pyskl - INFO - +mean_acc 0.8440 +2023-12-23 15:45:03,778 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_58.pth was removed +2023-12-23 15:45:04,032 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_61.pth. +2023-12-23 15:45:04,032 - pyskl - INFO - Best top1_acc is 0.8859 at 61 epoch. +2023-12-23 15:45:04,036 - pyskl - INFO - Epoch(val) [61][533] top1_acc: 0.8859, top5_acc: 0.9914, mean_class_accuracy: 0.8440 +2023-12-23 15:46:09,777 - pyskl - INFO - Epoch [62][100/1281] lr: 1.609e-02, eta: 13:08:27, time: 0.657, data_time: 0.228, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 0.2821, loss: 0.2821 +2023-12-23 15:46:52,992 - pyskl - INFO - Epoch [62][200/1281] lr: 1.607e-02, eta: 13:07:48, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 0.3125, loss: 0.3125 +2023-12-23 15:47:36,288 - pyskl - INFO - Epoch [62][300/1281] lr: 1.605e-02, eta: 13:07:09, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9988, loss_cls: 0.3139, loss: 0.3139 +2023-12-23 15:48:20,075 - pyskl - INFO - Epoch [62][400/1281] lr: 1.603e-02, eta: 13:06:30, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9981, loss_cls: 0.3362, loss: 0.3362 +2023-12-23 15:49:04,451 - pyskl - INFO - Epoch [62][500/1281] lr: 1.602e-02, eta: 13:05:53, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 0.3663, loss: 0.3663 +2023-12-23 15:49:49,213 - pyskl - INFO - Epoch [62][600/1281] lr: 1.600e-02, eta: 13:05:16, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 0.3618, loss: 0.3618 +2023-12-23 15:50:33,289 - pyskl - INFO - Epoch [62][700/1281] lr: 1.598e-02, eta: 13:04:38, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 0.3752, loss: 0.3752 +2023-12-23 15:51:18,421 - pyskl - INFO - Epoch [62][800/1281] lr: 1.596e-02, eta: 13:04:02, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9962, loss_cls: 0.3306, loss: 0.3306 +2023-12-23 15:52:03,343 - pyskl - INFO - Epoch [62][900/1281] lr: 1.594e-02, eta: 13:03:25, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 0.3432, loss: 0.3432 +2023-12-23 15:52:47,301 - pyskl - INFO - Epoch [62][1000/1281] lr: 1.592e-02, eta: 13:02:47, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9956, loss_cls: 0.3330, loss: 0.3330 +2023-12-23 15:53:32,570 - pyskl - INFO - Epoch [62][1100/1281] lr: 1.590e-02, eta: 13:02:11, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 0.3358, loss: 0.3358 +2023-12-23 15:54:08,955 - pyskl - INFO - Epoch [62][1200/1281] lr: 1.588e-02, eta: 13:01:22, time: 0.364, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 0.2907, loss: 0.2907 +2023-12-23 15:54:32,821 - pyskl - INFO - Saving checkpoint at 62 epochs +2023-12-23 15:55:26,278 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 15:55:26,342 - pyskl - INFO - +top1_acc 0.8674 +top5_acc 0.9897 +2023-12-23 15:55:26,342 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 15:55:26,353 - pyskl - INFO - +mean_acc 0.8228 +2023-12-23 15:55:26,358 - pyskl - INFO - Epoch(val) [62][533] top1_acc: 0.8674, top5_acc: 0.9897, mean_class_accuracy: 0.8228 +2023-12-23 15:56:31,279 - pyskl - INFO - Epoch [63][100/1281] lr: 1.584e-02, eta: 12:59:52, time: 0.649, data_time: 0.216, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 0.2895, loss: 0.2895 +2023-12-23 15:57:14,637 - pyskl - INFO - Epoch [63][200/1281] lr: 1.582e-02, eta: 12:59:13, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 0.3393, loss: 0.3393 +2023-12-23 15:57:58,161 - pyskl - INFO - Epoch [63][300/1281] lr: 1.580e-02, eta: 12:58:34, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 0.3803, loss: 0.3803 +2023-12-23 15:58:42,140 - pyskl - INFO - Epoch [63][400/1281] lr: 1.578e-02, eta: 12:57:56, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9981, loss_cls: 0.3071, loss: 0.3071 +2023-12-23 15:59:25,917 - pyskl - INFO - Epoch [63][500/1281] lr: 1.576e-02, eta: 12:57:18, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9994, loss_cls: 0.3288, loss: 0.3288 +2023-12-23 16:00:09,327 - pyskl - INFO - Epoch [63][600/1281] lr: 1.574e-02, eta: 12:56:39, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9988, loss_cls: 0.3154, loss: 0.3154 +2023-12-23 16:00:52,769 - pyskl - INFO - Epoch [63][700/1281] lr: 1.572e-02, eta: 12:56:00, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.2885, loss: 0.2885 +2023-12-23 16:01:36,210 - pyskl - INFO - Epoch [63][800/1281] lr: 1.570e-02, eta: 12:55:21, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 0.3375, loss: 0.3375 +2023-12-23 16:02:20,324 - pyskl - INFO - Epoch [63][900/1281] lr: 1.568e-02, eta: 12:54:43, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9994, loss_cls: 0.3274, loss: 0.3274 +2023-12-23 16:03:04,305 - pyskl - INFO - Epoch [63][1000/1281] lr: 1.566e-02, eta: 12:54:04, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 0.3038, loss: 0.3038 +2023-12-23 16:03:49,354 - pyskl - INFO - Epoch [63][1100/1281] lr: 1.564e-02, eta: 12:53:28, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9975, loss_cls: 0.3232, loss: 0.3232 +2023-12-23 16:04:26,220 - pyskl - INFO - Epoch [63][1200/1281] lr: 1.562e-02, eta: 12:52:40, time: 0.369, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 0.3736, loss: 0.3736 +2023-12-23 16:04:49,495 - pyskl - INFO - Saving checkpoint at 63 epochs +2023-12-23 16:05:45,958 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 16:05:46,038 - pyskl - INFO - +top1_acc 0.8825 +top5_acc 0.9916 +2023-12-23 16:05:46,038 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 16:05:46,051 - pyskl - INFO - +mean_acc 0.8463 +2023-12-23 16:05:46,055 - pyskl - INFO - Epoch(val) [63][533] top1_acc: 0.8825, top5_acc: 0.9916, mean_class_accuracy: 0.8463 +2023-12-23 16:06:51,877 - pyskl - INFO - Epoch [64][100/1281] lr: 1.559e-02, eta: 12:51:11, time: 0.658, data_time: 0.228, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 0.2697, loss: 0.2697 +2023-12-23 16:07:35,209 - pyskl - INFO - Epoch [64][200/1281] lr: 1.557e-02, eta: 12:50:32, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 0.2653, loss: 0.2653 +2023-12-23 16:08:18,640 - pyskl - INFO - Epoch [64][300/1281] lr: 1.555e-02, eta: 12:49:53, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 0.3219, loss: 0.3219 +2023-12-23 16:09:02,047 - pyskl - INFO - Epoch [64][400/1281] lr: 1.553e-02, eta: 12:49:14, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9988, loss_cls: 0.2837, loss: 0.2837 +2023-12-23 16:09:45,641 - pyskl - INFO - Epoch [64][500/1281] lr: 1.551e-02, eta: 12:48:35, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 1.0000, loss_cls: 0.3579, loss: 0.3579 +2023-12-23 16:10:28,725 - pyskl - INFO - Epoch [64][600/1281] lr: 1.549e-02, eta: 12:47:56, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9981, loss_cls: 0.3657, loss: 0.3657 +2023-12-23 16:11:11,709 - pyskl - INFO - Epoch [64][700/1281] lr: 1.547e-02, eta: 12:47:16, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 0.3119, loss: 0.3119 +2023-12-23 16:11:55,173 - pyskl - INFO - Epoch [64][800/1281] lr: 1.545e-02, eta: 12:46:37, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9988, loss_cls: 0.3653, loss: 0.3653 +2023-12-23 16:12:38,769 - pyskl - INFO - Epoch [64][900/1281] lr: 1.543e-02, eta: 12:45:58, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 1.0000, loss_cls: 0.3180, loss: 0.3180 +2023-12-23 16:13:22,685 - pyskl - INFO - Epoch [64][1000/1281] lr: 1.541e-02, eta: 12:45:20, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 1.0000, loss_cls: 0.3449, loss: 0.3449 +2023-12-23 16:14:07,934 - pyskl - INFO - Epoch [64][1100/1281] lr: 1.539e-02, eta: 12:44:43, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9994, loss_cls: 0.3254, loss: 0.3254 +2023-12-23 16:14:46,014 - pyskl - INFO - Epoch [64][1200/1281] lr: 1.537e-02, eta: 12:43:57, time: 0.381, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9994, loss_cls: 0.3500, loss: 0.3500 +2023-12-23 16:15:08,811 - pyskl - INFO - Saving checkpoint at 64 epochs +2023-12-23 16:16:05,754 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 16:16:05,814 - pyskl - INFO - +top1_acc 0.8794 +top5_acc 0.9931 +2023-12-23 16:16:05,815 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 16:16:05,828 - pyskl - INFO - +mean_acc 0.8358 +2023-12-23 16:16:05,835 - pyskl - INFO - Epoch(val) [64][533] top1_acc: 0.8794, top5_acc: 0.9931, mean_class_accuracy: 0.8358 +2023-12-23 16:17:12,530 - pyskl - INFO - Epoch [65][100/1281] lr: 1.533e-02, eta: 12:42:30, time: 0.667, data_time: 0.233, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9994, loss_cls: 0.2990, loss: 0.2990 +2023-12-23 16:17:55,799 - pyskl - INFO - Epoch [65][200/1281] lr: 1.531e-02, eta: 12:41:51, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 0.2538, loss: 0.2538 +2023-12-23 16:18:38,710 - pyskl - INFO - Epoch [65][300/1281] lr: 1.529e-02, eta: 12:41:11, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 0.2816, loss: 0.2816 +2023-12-23 16:19:22,067 - pyskl - INFO - Epoch [65][400/1281] lr: 1.527e-02, eta: 12:40:32, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9981, loss_cls: 0.3365, loss: 0.3365 +2023-12-23 16:20:05,630 - pyskl - INFO - Epoch [65][500/1281] lr: 1.526e-02, eta: 12:39:53, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 0.2928, loss: 0.2928 +2023-12-23 16:20:48,959 - pyskl - INFO - Epoch [65][600/1281] lr: 1.524e-02, eta: 12:39:14, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9962, loss_cls: 0.3370, loss: 0.3370 +2023-12-23 16:21:32,292 - pyskl - INFO - Epoch [65][700/1281] lr: 1.522e-02, eta: 12:38:35, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9975, loss_cls: 0.3479, loss: 0.3479 +2023-12-23 16:22:15,506 - pyskl - INFO - Epoch [65][800/1281] lr: 1.520e-02, eta: 12:37:55, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.2767, loss: 0.2767 +2023-12-23 16:22:58,513 - pyskl - INFO - Epoch [65][900/1281] lr: 1.518e-02, eta: 12:37:16, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9988, loss_cls: 0.3615, loss: 0.3615 +2023-12-23 16:23:41,829 - pyskl - INFO - Epoch [65][1000/1281] lr: 1.516e-02, eta: 12:36:36, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3087, loss: 0.3087 +2023-12-23 16:24:25,909 - pyskl - INFO - Epoch [65][1100/1281] lr: 1.514e-02, eta: 12:35:58, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9975, loss_cls: 0.3506, loss: 0.3506 +2023-12-23 16:25:03,465 - pyskl - INFO - Epoch [65][1200/1281] lr: 1.512e-02, eta: 12:35:11, time: 0.376, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9981, loss_cls: 0.3479, loss: 0.3479 +2023-12-23 16:25:28,185 - pyskl - INFO - Saving checkpoint at 65 epochs +2023-12-23 16:26:24,828 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 16:26:24,891 - pyskl - INFO - +top1_acc 0.8730 +top5_acc 0.9916 +2023-12-23 16:26:24,891 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 16:26:24,900 - pyskl - INFO - +mean_acc 0.8267 +2023-12-23 16:26:24,902 - pyskl - INFO - Epoch(val) [65][533] top1_acc: 0.8730, top5_acc: 0.9916, mean_class_accuracy: 0.8267 +2023-12-23 16:27:27,783 - pyskl - INFO - Epoch [66][100/1281] lr: 1.508e-02, eta: 12:33:40, time: 0.629, data_time: 0.200, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 0.3316, loss: 0.3316 +2023-12-23 16:28:11,274 - pyskl - INFO - Epoch [66][200/1281] lr: 1.506e-02, eta: 12:33:01, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 0.3014, loss: 0.3014 +2023-12-23 16:28:55,336 - pyskl - INFO - Epoch [66][300/1281] lr: 1.504e-02, eta: 12:32:22, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9994, loss_cls: 0.2686, loss: 0.2686 +2023-12-23 16:29:38,918 - pyskl - INFO - Epoch [66][400/1281] lr: 1.502e-02, eta: 12:31:43, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9988, loss_cls: 0.3128, loss: 0.3128 +2023-12-23 16:30:22,081 - pyskl - INFO - Epoch [66][500/1281] lr: 1.500e-02, eta: 12:31:04, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9988, loss_cls: 0.3600, loss: 0.3600 +2023-12-23 16:31:05,049 - pyskl - INFO - Epoch [66][600/1281] lr: 1.498e-02, eta: 12:30:24, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 0.3329, loss: 0.3329 +2023-12-23 16:31:49,381 - pyskl - INFO - Epoch [66][700/1281] lr: 1.496e-02, eta: 12:29:46, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.2993, loss: 0.2993 +2023-12-23 16:32:34,313 - pyskl - INFO - Epoch [66][800/1281] lr: 1.494e-02, eta: 12:29:09, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.2798, loss: 0.2798 +2023-12-23 16:33:19,566 - pyskl - INFO - Epoch [66][900/1281] lr: 1.492e-02, eta: 12:28:32, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9994, loss_cls: 0.3270, loss: 0.3270 +2023-12-23 16:34:03,043 - pyskl - INFO - Epoch [66][1000/1281] lr: 1.490e-02, eta: 12:27:53, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 1.0000, loss_cls: 0.2967, loss: 0.2967 +2023-12-23 16:34:46,210 - pyskl - INFO - Epoch [66][1100/1281] lr: 1.488e-02, eta: 12:27:13, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 0.3864, loss: 0.3864 +2023-12-23 16:35:23,326 - pyskl - INFO - Epoch [66][1200/1281] lr: 1.486e-02, eta: 12:26:26, time: 0.371, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9981, loss_cls: 0.3440, loss: 0.3440 +2023-12-23 16:35:45,366 - pyskl - INFO - Saving checkpoint at 66 epochs +2023-12-23 16:36:41,892 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 16:36:41,964 - pyskl - INFO - +top1_acc 0.8883 +top5_acc 0.9925 +2023-12-23 16:36:41,964 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 16:36:41,976 - pyskl - INFO - +mean_acc 0.8457 +2023-12-23 16:36:41,982 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_61.pth was removed +2023-12-23 16:36:42,265 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. +2023-12-23 16:36:42,266 - pyskl - INFO - Best top1_acc is 0.8883 at 66 epoch. +2023-12-23 16:36:42,270 - pyskl - INFO - Epoch(val) [66][533] top1_acc: 0.8883, top5_acc: 0.9925, mean_class_accuracy: 0.8457 +2023-12-23 16:37:48,747 - pyskl - INFO - Epoch [67][100/1281] lr: 1.482e-02, eta: 12:24:59, time: 0.665, data_time: 0.229, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9975, loss_cls: 0.3285, loss: 0.3285 +2023-12-23 16:38:33,394 - pyskl - INFO - Epoch [67][200/1281] lr: 1.480e-02, eta: 12:24:22, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 0.3218, loss: 0.3218 +2023-12-23 16:39:17,487 - pyskl - INFO - Epoch [67][300/1281] lr: 1.478e-02, eta: 12:23:43, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 0.2602, loss: 0.2602 +2023-12-23 16:40:01,360 - pyskl - INFO - Epoch [67][400/1281] lr: 1.476e-02, eta: 12:23:04, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 0.2738, loss: 0.2738 +2023-12-23 16:40:44,599 - pyskl - INFO - Epoch [67][500/1281] lr: 1.474e-02, eta: 12:22:25, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 0.2862, loss: 0.2862 +2023-12-23 16:41:28,035 - pyskl - INFO - Epoch [67][600/1281] lr: 1.472e-02, eta: 12:21:46, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9975, loss_cls: 0.3131, loss: 0.3131 +2023-12-23 16:42:12,307 - pyskl - INFO - Epoch [67][700/1281] lr: 1.470e-02, eta: 12:21:07, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 0.2683, loss: 0.2683 +2023-12-23 16:42:56,879 - pyskl - INFO - Epoch [67][800/1281] lr: 1.468e-02, eta: 12:20:30, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 0.2660, loss: 0.2660 +2023-12-23 16:43:41,392 - pyskl - INFO - Epoch [67][900/1281] lr: 1.466e-02, eta: 12:19:52, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 0.3010, loss: 0.3010 +2023-12-23 16:44:26,784 - pyskl - INFO - Epoch [67][1000/1281] lr: 1.464e-02, eta: 12:19:15, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 0.3510, loss: 0.3510 +2023-12-23 16:45:12,262 - pyskl - INFO - Epoch [67][1100/1281] lr: 1.462e-02, eta: 12:18:38, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9962, loss_cls: 0.3513, loss: 0.3513 +2023-12-23 16:45:53,539 - pyskl - INFO - Epoch [67][1200/1281] lr: 1.460e-02, eta: 12:17:56, time: 0.413, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9975, loss_cls: 0.3347, loss: 0.3347 +2023-12-23 16:46:13,860 - pyskl - INFO - Saving checkpoint at 67 epochs +2023-12-23 16:47:10,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 16:47:10,810 - pyskl - INFO - +top1_acc 0.8833 +top5_acc 0.9931 +2023-12-23 16:47:10,811 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 16:47:10,818 - pyskl - INFO - +mean_acc 0.8338 +2023-12-23 16:47:10,821 - pyskl - INFO - Epoch(val) [67][533] top1_acc: 0.8833, top5_acc: 0.9931, mean_class_accuracy: 0.8338 +2023-12-23 16:48:13,007 - pyskl - INFO - Epoch [68][100/1281] lr: 1.456e-02, eta: 12:16:24, time: 0.622, data_time: 0.188, memory: 4120, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 0.2529, loss: 0.2529 +2023-12-23 16:48:56,404 - pyskl - INFO - Epoch [68][200/1281] lr: 1.454e-02, eta: 12:15:45, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 1.0000, loss_cls: 0.3211, loss: 0.3211 +2023-12-23 16:49:39,951 - pyskl - INFO - Epoch [68][300/1281] lr: 1.452e-02, eta: 12:15:06, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9994, loss_cls: 0.3178, loss: 0.3178 +2023-12-23 16:50:23,416 - pyskl - INFO - Epoch [68][400/1281] lr: 1.450e-02, eta: 12:14:26, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 0.2754, loss: 0.2754 +2023-12-23 16:51:06,348 - pyskl - INFO - Epoch [68][500/1281] lr: 1.448e-02, eta: 12:13:46, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 0.3217, loss: 0.3217 +2023-12-23 16:51:49,548 - pyskl - INFO - Epoch [68][600/1281] lr: 1.446e-02, eta: 12:13:07, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.2838, loss: 0.2838 +2023-12-23 16:52:34,480 - pyskl - INFO - Epoch [68][700/1281] lr: 1.444e-02, eta: 12:12:29, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9975, loss_cls: 0.3145, loss: 0.3145 +2023-12-23 16:53:17,953 - pyskl - INFO - Epoch [68][800/1281] lr: 1.442e-02, eta: 12:11:50, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 0.3157, loss: 0.3157 +2023-12-23 16:54:01,274 - pyskl - INFO - Epoch [68][900/1281] lr: 1.440e-02, eta: 12:11:10, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9969, loss_cls: 0.3426, loss: 0.3426 +2023-12-23 16:54:44,568 - pyskl - INFO - Epoch [68][1000/1281] lr: 1.438e-02, eta: 12:10:31, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9988, loss_cls: 0.3814, loss: 0.3814 +2023-12-23 16:55:27,835 - pyskl - INFO - Epoch [68][1100/1281] lr: 1.436e-02, eta: 12:09:51, time: 0.433, data_time: 0.002, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9988, loss_cls: 0.3338, loss: 0.3338 +2023-12-23 16:56:08,682 - pyskl - INFO - Epoch [68][1200/1281] lr: 1.434e-02, eta: 12:09:09, time: 0.408, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9975, loss_cls: 0.3158, loss: 0.3158 +2023-12-23 16:56:28,567 - pyskl - INFO - Saving checkpoint at 68 epochs +2023-12-23 16:57:29,725 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 16:57:29,783 - pyskl - INFO - +top1_acc 0.8756 +top5_acc 0.9921 +2023-12-23 16:57:29,784 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 16:57:29,792 - pyskl - INFO - +mean_acc 0.8258 +2023-12-23 16:57:29,794 - pyskl - INFO - Epoch(val) [68][533] top1_acc: 0.8756, top5_acc: 0.9921, mean_class_accuracy: 0.8258 +2023-12-23 16:58:35,684 - pyskl - INFO - Epoch [69][100/1281] lr: 1.431e-02, eta: 12:07:42, time: 0.659, data_time: 0.225, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 0.2994, loss: 0.2994 +2023-12-23 16:59:19,112 - pyskl - INFO - Epoch [69][200/1281] lr: 1.429e-02, eta: 12:07:02, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 0.3026, loss: 0.3026 +2023-12-23 17:00:02,122 - pyskl - INFO - Epoch [69][300/1281] lr: 1.427e-02, eta: 12:06:23, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3030, loss: 0.3030 +2023-12-23 17:00:45,572 - pyskl - INFO - Epoch [69][400/1281] lr: 1.425e-02, eta: 12:05:43, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 0.3046, loss: 0.3046 +2023-12-23 17:01:28,887 - pyskl - INFO - Epoch [69][500/1281] lr: 1.423e-02, eta: 12:05:04, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9994, loss_cls: 0.3157, loss: 0.3157 +2023-12-23 17:02:14,504 - pyskl - INFO - Epoch [69][600/1281] lr: 1.420e-02, eta: 12:04:27, time: 0.456, data_time: 0.001, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9988, loss_cls: 0.3152, loss: 0.3152 +2023-12-23 17:03:00,004 - pyskl - INFO - Epoch [69][700/1281] lr: 1.418e-02, eta: 12:03:50, time: 0.455, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9994, loss_cls: 0.3253, loss: 0.3253 +2023-12-23 17:03:44,794 - pyskl - INFO - Epoch [69][800/1281] lr: 1.416e-02, eta: 12:03:12, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9994, loss_cls: 0.3570, loss: 0.3570 +2023-12-23 17:04:29,406 - pyskl - INFO - Epoch [69][900/1281] lr: 1.414e-02, eta: 12:02:34, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 0.2771, loss: 0.2771 +2023-12-23 17:05:13,711 - pyskl - INFO - Epoch [69][1000/1281] lr: 1.412e-02, eta: 12:01:55, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9969, loss_cls: 0.3164, loss: 0.3164 +2023-12-23 17:05:57,249 - pyskl - INFO - Epoch [69][1100/1281] lr: 1.410e-02, eta: 12:01:16, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 0.2793, loss: 0.2793 +2023-12-23 17:06:39,995 - pyskl - INFO - Epoch [69][1200/1281] lr: 1.408e-02, eta: 12:00:36, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.2797, loss: 0.2797 +2023-12-23 17:07:00,564 - pyskl - INFO - Saving checkpoint at 69 epochs +2023-12-23 17:08:01,682 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 17:08:01,742 - pyskl - INFO - +top1_acc 0.8756 +top5_acc 0.9910 +2023-12-23 17:08:01,742 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 17:08:01,750 - pyskl - INFO - +mean_acc 0.8395 +2023-12-23 17:08:01,754 - pyskl - INFO - Epoch(val) [69][533] top1_acc: 0.8756, top5_acc: 0.9910, mean_class_accuracy: 0.8395 +2023-12-23 17:09:06,728 - pyskl - INFO - Epoch [70][100/1281] lr: 1.405e-02, eta: 11:59:08, time: 0.650, data_time: 0.197, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9994, loss_cls: 0.3096, loss: 0.3096 +2023-12-23 17:09:52,453 - pyskl - INFO - Epoch [70][200/1281] lr: 1.403e-02, eta: 11:58:31, time: 0.457, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 0.2637, loss: 0.2637 +2023-12-23 17:10:37,999 - pyskl - INFO - Epoch [70][300/1281] lr: 1.401e-02, eta: 11:57:54, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9975, loss_cls: 0.2918, loss: 0.2918 +2023-12-23 17:11:23,066 - pyskl - INFO - Epoch [70][400/1281] lr: 1.399e-02, eta: 11:57:16, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 0.2848, loss: 0.2848 +2023-12-23 17:12:07,021 - pyskl - INFO - Epoch [70][500/1281] lr: 1.397e-02, eta: 11:56:38, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 0.2582, loss: 0.2582 +2023-12-23 17:12:50,874 - pyskl - INFO - Epoch [70][600/1281] lr: 1.395e-02, eta: 11:55:58, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 0.2620, loss: 0.2620 +2023-12-23 17:13:35,733 - pyskl - INFO - Epoch [70][700/1281] lr: 1.392e-02, eta: 11:55:21, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 0.3005, loss: 0.3005 +2023-12-23 17:14:19,188 - pyskl - INFO - Epoch [70][800/1281] lr: 1.390e-02, eta: 11:54:41, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 0.2597, loss: 0.2597 +2023-12-23 17:15:02,781 - pyskl - INFO - Epoch [70][900/1281] lr: 1.388e-02, eta: 11:54:02, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9975, loss_cls: 0.3211, loss: 0.3211 +2023-12-23 17:15:45,860 - pyskl - INFO - Epoch [70][1000/1281] lr: 1.386e-02, eta: 11:53:22, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 0.3050, loss: 0.3050 +2023-12-23 17:16:29,174 - pyskl - INFO - Epoch [70][1100/1281] lr: 1.384e-02, eta: 11:52:42, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.2901, loss: 0.2901 +2023-12-23 17:17:13,777 - pyskl - INFO - Epoch [70][1200/1281] lr: 1.382e-02, eta: 11:52:04, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.2787, loss: 0.2787 +2023-12-23 17:17:33,398 - pyskl - INFO - Saving checkpoint at 70 epochs +2023-12-23 17:18:36,251 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 17:18:36,326 - pyskl - INFO - +top1_acc 0.8714 +top5_acc 0.9921 +2023-12-23 17:18:36,327 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 17:18:36,344 - pyskl - INFO - +mean_acc 0.8223 +2023-12-23 17:18:36,351 - pyskl - INFO - Epoch(val) [70][533] top1_acc: 0.8714, top5_acc: 0.9921, mean_class_accuracy: 0.8223 +2023-12-23 17:19:43,474 - pyskl - INFO - Epoch [71][100/1281] lr: 1.379e-02, eta: 11:50:39, time: 0.671, data_time: 0.238, memory: 4120, top1_acc: 0.9263, top5_acc: 1.0000, loss_cls: 0.2803, loss: 0.2803 +2023-12-23 17:20:26,359 - pyskl - INFO - Epoch [71][200/1281] lr: 1.377e-02, eta: 11:49:58, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 1.0000, loss_cls: 0.2706, loss: 0.2706 +2023-12-23 17:21:09,892 - pyskl - INFO - Epoch [71][300/1281] lr: 1.375e-02, eta: 11:49:19, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 1.0000, loss_cls: 0.2672, loss: 0.2672 +2023-12-23 17:21:53,448 - pyskl - INFO - Epoch [71][400/1281] lr: 1.373e-02, eta: 11:48:39, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 0.2990, loss: 0.2990 +2023-12-23 17:22:37,028 - pyskl - INFO - Epoch [71][500/1281] lr: 1.371e-02, eta: 11:48:00, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9988, loss_cls: 0.3126, loss: 0.3126 +2023-12-23 17:23:20,458 - pyskl - INFO - Epoch [71][600/1281] lr: 1.368e-02, eta: 11:47:20, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 0.2479, loss: 0.2479 +2023-12-23 17:24:03,341 - pyskl - INFO - Epoch [71][700/1281] lr: 1.366e-02, eta: 11:46:40, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9981, loss_cls: 0.3083, loss: 0.3083 +2023-12-23 17:24:46,820 - pyskl - INFO - Epoch [71][800/1281] lr: 1.364e-02, eta: 11:46:00, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 0.3052, loss: 0.3052 +2023-12-23 17:25:30,172 - pyskl - INFO - Epoch [71][900/1281] lr: 1.362e-02, eta: 11:45:21, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9975, loss_cls: 0.3057, loss: 0.3057 +2023-12-23 17:26:13,626 - pyskl - INFO - Epoch [71][1000/1281] lr: 1.360e-02, eta: 11:44:41, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9981, loss_cls: 0.2850, loss: 0.2850 +2023-12-23 17:26:58,400 - pyskl - INFO - Epoch [71][1100/1281] lr: 1.358e-02, eta: 11:44:03, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 0.2580, loss: 0.2580 +2023-12-23 17:27:42,749 - pyskl - INFO - Epoch [71][1200/1281] lr: 1.356e-02, eta: 11:43:24, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 0.3179, loss: 0.3179 +2023-12-23 17:28:01,305 - pyskl - INFO - Saving checkpoint at 71 epochs +2023-12-23 17:29:03,817 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 17:29:03,881 - pyskl - INFO - +top1_acc 0.8751 +top5_acc 0.9925 +2023-12-23 17:29:03,881 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 17:29:03,891 - pyskl - INFO - +mean_acc 0.8471 +2023-12-23 17:29:03,894 - pyskl - INFO - Epoch(val) [71][533] top1_acc: 0.8751, top5_acc: 0.9925, mean_class_accuracy: 0.8471 +2023-12-23 17:30:11,911 - pyskl - INFO - Epoch [72][100/1281] lr: 1.353e-02, eta: 11:42:00, time: 0.680, data_time: 0.245, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.2637, loss: 0.2637 +2023-12-23 17:30:55,289 - pyskl - INFO - Epoch [72][200/1281] lr: 1.351e-02, eta: 11:41:21, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.2852, loss: 0.2852 +2023-12-23 17:31:38,765 - pyskl - INFO - Epoch [72][300/1281] lr: 1.349e-02, eta: 11:40:41, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 0.3165, loss: 0.3165 +2023-12-23 17:32:21,835 - pyskl - INFO - Epoch [72][400/1281] lr: 1.346e-02, eta: 11:40:01, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 0.2543, loss: 0.2543 +2023-12-23 17:33:05,434 - pyskl - INFO - Epoch [72][500/1281] lr: 1.344e-02, eta: 11:39:21, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 0.2695, loss: 0.2695 +2023-12-23 17:33:48,888 - pyskl - INFO - Epoch [72][600/1281] lr: 1.342e-02, eta: 11:38:42, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 0.2444, loss: 0.2444 +2023-12-23 17:34:32,337 - pyskl - INFO - Epoch [72][700/1281] lr: 1.340e-02, eta: 11:38:02, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 0.2340, loss: 0.2340 +2023-12-23 17:35:15,828 - pyskl - INFO - Epoch [72][800/1281] lr: 1.338e-02, eta: 11:37:22, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9994, loss_cls: 0.2963, loss: 0.2963 +2023-12-23 17:35:59,082 - pyskl - INFO - Epoch [72][900/1281] lr: 1.336e-02, eta: 11:36:42, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9969, loss_cls: 0.2902, loss: 0.2902 +2023-12-23 17:36:42,652 - pyskl - INFO - Epoch [72][1000/1281] lr: 1.334e-02, eta: 11:36:03, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9975, loss_cls: 0.3179, loss: 0.3179 +2023-12-23 17:37:26,989 - pyskl - INFO - Epoch [72][1100/1281] lr: 1.332e-02, eta: 11:35:24, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9981, loss_cls: 0.3279, loss: 0.3279 +2023-12-23 17:38:09,957 - pyskl - INFO - Epoch [72][1200/1281] lr: 1.330e-02, eta: 11:34:44, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9981, loss_cls: 0.3054, loss: 0.3054 +2023-12-23 17:38:30,337 - pyskl - INFO - Saving checkpoint at 72 epochs +2023-12-23 17:39:34,740 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 17:39:34,798 - pyskl - INFO - +top1_acc 0.8828 +top5_acc 0.9932 +2023-12-23 17:39:34,799 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 17:39:34,806 - pyskl - INFO - +mean_acc 0.8450 +2023-12-23 17:39:34,809 - pyskl - INFO - Epoch(val) [72][533] top1_acc: 0.8828, top5_acc: 0.9932, mean_class_accuracy: 0.8450 +2023-12-23 17:40:47,491 - pyskl - INFO - Epoch [73][100/1281] lr: 1.326e-02, eta: 11:33:25, time: 0.727, data_time: 0.286, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.2568, loss: 0.2568 +2023-12-23 17:41:31,421 - pyskl - INFO - Epoch [73][200/1281] lr: 1.324e-02, eta: 11:32:46, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 0.2349, loss: 0.2349 +2023-12-23 17:42:16,758 - pyskl - INFO - Epoch [73][300/1281] lr: 1.322e-02, eta: 11:32:08, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 0.2757, loss: 0.2757 +2023-12-23 17:43:02,371 - pyskl - INFO - Epoch [73][400/1281] lr: 1.320e-02, eta: 11:31:31, time: 0.456, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2500, loss: 0.2500 +2023-12-23 17:43:48,083 - pyskl - INFO - Epoch [73][500/1281] lr: 1.318e-02, eta: 11:30:53, time: 0.457, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 0.2705, loss: 0.2705 +2023-12-23 17:44:32,640 - pyskl - INFO - Epoch [73][600/1281] lr: 1.316e-02, eta: 11:30:15, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 0.2533, loss: 0.2533 +2023-12-23 17:45:16,105 - pyskl - INFO - Epoch [73][700/1281] lr: 1.314e-02, eta: 11:29:35, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 0.2364, loss: 0.2364 +2023-12-23 17:45:59,677 - pyskl - INFO - Epoch [73][800/1281] lr: 1.312e-02, eta: 11:28:55, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 0.2940, loss: 0.2940 +2023-12-23 17:46:43,660 - pyskl - INFO - Epoch [73][900/1281] lr: 1.310e-02, eta: 11:28:16, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.2833, loss: 0.2833 +2023-12-23 17:47:26,796 - pyskl - INFO - Epoch [73][1000/1281] lr: 1.308e-02, eta: 11:27:36, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 0.2865, loss: 0.2865 +2023-12-23 17:48:10,284 - pyskl - INFO - Epoch [73][1100/1281] lr: 1.306e-02, eta: 11:26:56, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9994, loss_cls: 0.2813, loss: 0.2813 +2023-12-23 17:48:52,263 - pyskl - INFO - Epoch [73][1200/1281] lr: 1.304e-02, eta: 11:26:14, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9956, loss_cls: 0.3390, loss: 0.3390 +2023-12-23 17:49:11,751 - pyskl - INFO - Saving checkpoint at 73 epochs +2023-12-23 17:50:14,619 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 17:50:14,690 - pyskl - INFO - +top1_acc 0.8897 +top5_acc 0.9927 +2023-12-23 17:50:14,690 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 17:50:14,704 - pyskl - INFO - +mean_acc 0.8444 +2023-12-23 17:50:14,716 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_66.pth was removed +2023-12-23 17:50:14,948 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_73.pth. +2023-12-23 17:50:14,949 - pyskl - INFO - Best top1_acc is 0.8897 at 73 epoch. +2023-12-23 17:50:14,951 - pyskl - INFO - Epoch(val) [73][533] top1_acc: 0.8897, top5_acc: 0.9927, mean_class_accuracy: 0.8444 +2023-12-23 17:51:25,556 - pyskl - INFO - Epoch [74][100/1281] lr: 1.300e-02, eta: 11:24:54, time: 0.706, data_time: 0.269, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.2717, loss: 0.2717 +2023-12-23 17:52:09,334 - pyskl - INFO - Epoch [74][200/1281] lr: 1.298e-02, eta: 11:24:14, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2339, loss: 0.2339 +2023-12-23 17:52:53,771 - pyskl - INFO - Epoch [74][300/1281] lr: 1.296e-02, eta: 11:23:35, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.2867, loss: 0.2867 +2023-12-23 17:53:38,223 - pyskl - INFO - Epoch [74][400/1281] lr: 1.294e-02, eta: 11:22:56, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 0.2745, loss: 0.2745 +2023-12-23 17:54:22,037 - pyskl - INFO - Epoch [74][500/1281] lr: 1.292e-02, eta: 11:22:17, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 1.0000, loss_cls: 0.2631, loss: 0.2631 +2023-12-23 17:55:06,771 - pyskl - INFO - Epoch [74][600/1281] lr: 1.290e-02, eta: 11:21:38, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 0.2481, loss: 0.2481 +2023-12-23 17:55:50,871 - pyskl - INFO - Epoch [74][700/1281] lr: 1.288e-02, eta: 11:20:59, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 0.2274, loss: 0.2274 +2023-12-23 17:56:34,880 - pyskl - INFO - Epoch [74][800/1281] lr: 1.286e-02, eta: 11:20:20, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 0.2365, loss: 0.2365 +2023-12-23 17:57:18,968 - pyskl - INFO - Epoch [74][900/1281] lr: 1.284e-02, eta: 11:19:41, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 0.2703, loss: 0.2703 +2023-12-23 17:58:02,715 - pyskl - INFO - Epoch [74][1000/1281] lr: 1.282e-02, eta: 11:19:01, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.3009, loss: 0.3009 +2023-12-23 17:58:46,324 - pyskl - INFO - Epoch [74][1100/1281] lr: 1.280e-02, eta: 11:18:21, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9975, loss_cls: 0.2901, loss: 0.2901 +2023-12-23 17:59:28,171 - pyskl - INFO - Epoch [74][1200/1281] lr: 1.278e-02, eta: 11:17:39, time: 0.418, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 1.0000, loss_cls: 0.2688, loss: 0.2688 +2023-12-23 17:59:48,481 - pyskl - INFO - Saving checkpoint at 74 epochs +2023-12-23 18:00:50,171 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 18:00:50,233 - pyskl - INFO - +top1_acc 0.8860 +top5_acc 0.9912 +2023-12-23 18:00:50,233 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 18:00:50,249 - pyskl - INFO - +mean_acc 0.8343 +2023-12-23 18:00:50,257 - pyskl - INFO - Epoch(val) [74][533] top1_acc: 0.8860, top5_acc: 0.9912, mean_class_accuracy: 0.8343 +2023-12-23 18:01:59,861 - pyskl - INFO - Epoch [75][100/1281] lr: 1.274e-02, eta: 11:16:18, time: 0.696, data_time: 0.259, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2172, loss: 0.2172 +2023-12-23 18:02:44,852 - pyskl - INFO - Epoch [75][200/1281] lr: 1.272e-02, eta: 11:15:39, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 0.2784, loss: 0.2784 +2023-12-23 18:03:29,792 - pyskl - INFO - Epoch [75][300/1281] lr: 1.270e-02, eta: 11:15:01, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 0.2437, loss: 0.2437 +2023-12-23 18:04:13,579 - pyskl - INFO - Epoch [75][400/1281] lr: 1.268e-02, eta: 11:14:21, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 0.2538, loss: 0.2538 +2023-12-23 18:04:57,251 - pyskl - INFO - Epoch [75][500/1281] lr: 1.266e-02, eta: 11:13:42, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9981, loss_cls: 0.2796, loss: 0.2796 +2023-12-23 18:05:40,839 - pyskl - INFO - Epoch [75][600/1281] lr: 1.264e-02, eta: 11:13:02, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.2655, loss: 0.2655 +2023-12-23 18:06:24,279 - pyskl - INFO - Epoch [75][700/1281] lr: 1.262e-02, eta: 11:12:22, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.2581, loss: 0.2581 +2023-12-23 18:07:08,176 - pyskl - INFO - Epoch [75][800/1281] lr: 1.260e-02, eta: 11:11:42, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.2655, loss: 0.2655 +2023-12-23 18:07:53,586 - pyskl - INFO - Epoch [75][900/1281] lr: 1.258e-02, eta: 11:11:04, time: 0.454, data_time: 0.000, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9994, loss_cls: 0.2889, loss: 0.2889 +2023-12-23 18:08:37,844 - pyskl - INFO - Epoch [75][1000/1281] lr: 1.256e-02, eta: 11:10:25, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9994, loss_cls: 0.2853, loss: 0.2853 +2023-12-23 18:09:21,732 - pyskl - INFO - Epoch [75][1100/1281] lr: 1.254e-02, eta: 11:09:45, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9994, loss_cls: 0.2706, loss: 0.2706 +2023-12-23 18:10:00,935 - pyskl - INFO - Epoch [75][1200/1281] lr: 1.252e-02, eta: 11:09:01, time: 0.392, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 1.0000, loss_cls: 0.3153, loss: 0.3153 +2023-12-23 18:10:24,662 - pyskl - INFO - Saving checkpoint at 75 epochs +2023-12-23 18:11:21,252 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 18:11:21,313 - pyskl - INFO - +top1_acc 0.8950 +top5_acc 0.9918 +2023-12-23 18:11:21,313 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 18:11:21,322 - pyskl - INFO - +mean_acc 0.8567 +2023-12-23 18:11:21,327 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_73.pth was removed +2023-12-23 18:11:21,557 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_75.pth. +2023-12-23 18:11:21,557 - pyskl - INFO - Best top1_acc is 0.8950 at 75 epoch. +2023-12-23 18:11:21,560 - pyskl - INFO - Epoch(val) [75][533] top1_acc: 0.8950, top5_acc: 0.9918, mean_class_accuracy: 0.8567 +2023-12-23 18:12:32,459 - pyskl - INFO - Epoch [76][100/1281] lr: 1.248e-02, eta: 11:07:41, time: 0.709, data_time: 0.258, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 0.2884, loss: 0.2884 +2023-12-23 18:13:16,810 - pyskl - INFO - Epoch [76][200/1281] lr: 1.246e-02, eta: 11:07:02, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 0.2308, loss: 0.2308 +2023-12-23 18:14:00,133 - pyskl - INFO - Epoch [76][300/1281] lr: 1.244e-02, eta: 11:06:22, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 0.2518, loss: 0.2518 +2023-12-23 18:14:43,604 - pyskl - INFO - Epoch [76][400/1281] lr: 1.242e-02, eta: 11:05:41, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 1.0000, loss_cls: 0.2781, loss: 0.2781 +2023-12-23 18:15:27,444 - pyskl - INFO - Epoch [76][500/1281] lr: 1.240e-02, eta: 11:05:02, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 0.2146, loss: 0.2146 +2023-12-23 18:16:13,072 - pyskl - INFO - Epoch [76][600/1281] lr: 1.238e-02, eta: 11:04:24, time: 0.456, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 0.2636, loss: 0.2636 +2023-12-23 18:16:56,946 - pyskl - INFO - Epoch [76][700/1281] lr: 1.236e-02, eta: 11:03:44, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9994, loss_cls: 0.3077, loss: 0.3077 +2023-12-23 18:17:42,369 - pyskl - INFO - Epoch [76][800/1281] lr: 1.234e-02, eta: 11:03:06, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9975, loss_cls: 0.3000, loss: 0.3000 +2023-12-23 18:18:27,478 - pyskl - INFO - Epoch [76][900/1281] lr: 1.232e-02, eta: 11:02:28, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 0.2206, loss: 0.2206 +2023-12-23 18:19:11,369 - pyskl - INFO - Epoch [76][1000/1281] lr: 1.230e-02, eta: 11:01:48, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 0.2570, loss: 0.2570 +2023-12-23 18:19:56,445 - pyskl - INFO - Epoch [76][1100/1281] lr: 1.228e-02, eta: 11:01:09, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 0.2680, loss: 0.2680 +2023-12-23 18:20:32,527 - pyskl - INFO - Epoch [76][1200/1281] lr: 1.225e-02, eta: 11:00:22, time: 0.361, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9969, loss_cls: 0.3886, loss: 0.3886 +2023-12-23 18:20:56,231 - pyskl - INFO - Saving checkpoint at 76 epochs +2023-12-23 18:21:53,098 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 18:21:53,169 - pyskl - INFO - +top1_acc 0.8905 +top5_acc 0.9933 +2023-12-23 18:21:53,169 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 18:21:53,177 - pyskl - INFO - +mean_acc 0.8462 +2023-12-23 18:21:53,180 - pyskl - INFO - Epoch(val) [76][533] top1_acc: 0.8905, top5_acc: 0.9933, mean_class_accuracy: 0.8462 +2023-12-23 18:23:03,935 - pyskl - INFO - Epoch [77][100/1281] lr: 1.222e-02, eta: 10:59:02, time: 0.707, data_time: 0.263, memory: 4120, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 0.2275, loss: 0.2275 +2023-12-23 18:23:48,228 - pyskl - INFO - Epoch [77][200/1281] lr: 1.220e-02, eta: 10:58:22, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 0.2570, loss: 0.2570 +2023-12-23 18:24:31,837 - pyskl - INFO - Epoch [77][300/1281] lr: 1.218e-02, eta: 10:57:42, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.2335, loss: 0.2335 +2023-12-23 18:25:16,655 - pyskl - INFO - Epoch [77][400/1281] lr: 1.216e-02, eta: 10:57:04, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 0.2313, loss: 0.2313 +2023-12-23 18:26:01,655 - pyskl - INFO - Epoch [77][500/1281] lr: 1.214e-02, eta: 10:56:25, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 0.2636, loss: 0.2636 +2023-12-23 18:26:47,154 - pyskl - INFO - Epoch [77][600/1281] lr: 1.212e-02, eta: 10:55:47, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 0.2421, loss: 0.2421 +2023-12-23 18:27:32,512 - pyskl - INFO - Epoch [77][700/1281] lr: 1.210e-02, eta: 10:55:09, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 0.2336, loss: 0.2336 +2023-12-23 18:28:17,529 - pyskl - INFO - Epoch [77][800/1281] lr: 1.207e-02, eta: 10:54:30, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2248, loss: 0.2248 +2023-12-23 18:29:03,077 - pyskl - INFO - Epoch [77][900/1281] lr: 1.205e-02, eta: 10:53:52, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 1.0000, loss_cls: 0.2672, loss: 0.2672 +2023-12-23 18:29:47,023 - pyskl - INFO - Epoch [77][1000/1281] lr: 1.203e-02, eta: 10:53:12, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 0.2804, loss: 0.2804 +2023-12-23 18:30:32,666 - pyskl - INFO - Epoch [77][1100/1281] lr: 1.201e-02, eta: 10:52:34, time: 0.456, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 0.3051, loss: 0.3051 +2023-12-23 18:31:09,492 - pyskl - INFO - Epoch [77][1200/1281] lr: 1.199e-02, eta: 10:51:47, time: 0.368, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9969, loss_cls: 0.3230, loss: 0.3230 +2023-12-23 18:31:33,494 - pyskl - INFO - Saving checkpoint at 77 epochs +2023-12-23 18:32:29,918 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 18:32:29,992 - pyskl - INFO - +top1_acc 0.8933 +top5_acc 0.9944 +2023-12-23 18:32:29,992 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 18:32:30,003 - pyskl - INFO - +mean_acc 0.8573 +2023-12-23 18:32:30,006 - pyskl - INFO - Epoch(val) [77][533] top1_acc: 0.8933, top5_acc: 0.9944, mean_class_accuracy: 0.8573 +2023-12-23 18:33:40,621 - pyskl - INFO - Epoch [78][100/1281] lr: 1.196e-02, eta: 10:50:27, time: 0.706, data_time: 0.254, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 0.2536, loss: 0.2536 +2023-12-23 18:34:25,207 - pyskl - INFO - Epoch [78][200/1281] lr: 1.194e-02, eta: 10:49:48, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.2685, loss: 0.2685 +2023-12-23 18:35:08,263 - pyskl - INFO - Epoch [78][300/1281] lr: 1.192e-02, eta: 10:49:07, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.2585, loss: 0.2585 +2023-12-23 18:35:53,199 - pyskl - INFO - Epoch [78][400/1281] lr: 1.190e-02, eta: 10:48:28, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 0.3087, loss: 0.3087 +2023-12-23 18:36:38,497 - pyskl - INFO - Epoch [78][500/1281] lr: 1.187e-02, eta: 10:47:50, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 0.2602, loss: 0.2602 +2023-12-23 18:37:22,120 - pyskl - INFO - Epoch [78][600/1281] lr: 1.185e-02, eta: 10:47:10, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 0.2674, loss: 0.2674 +2023-12-23 18:38:05,943 - pyskl - INFO - Epoch [78][700/1281] lr: 1.183e-02, eta: 10:46:30, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 0.2630, loss: 0.2630 +2023-12-23 18:38:49,845 - pyskl - INFO - Epoch [78][800/1281] lr: 1.181e-02, eta: 10:45:50, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.2628, loss: 0.2628 +2023-12-23 18:39:34,043 - pyskl - INFO - Epoch [78][900/1281] lr: 1.179e-02, eta: 10:45:11, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9994, loss_cls: 0.2749, loss: 0.2749 +2023-12-23 18:40:17,511 - pyskl - INFO - Epoch [78][1000/1281] lr: 1.177e-02, eta: 10:44:30, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.2663, loss: 0.2663 +2023-12-23 18:41:00,851 - pyskl - INFO - Epoch [78][1100/1281] lr: 1.175e-02, eta: 10:43:50, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 0.2392, loss: 0.2392 +2023-12-23 18:41:36,347 - pyskl - INFO - Epoch [78][1200/1281] lr: 1.173e-02, eta: 10:43:02, time: 0.355, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 1.0000, loss_cls: 0.2740, loss: 0.2740 +2023-12-23 18:41:59,521 - pyskl - INFO - Saving checkpoint at 78 epochs +2023-12-23 18:42:53,926 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 18:42:54,027 - pyskl - INFO - +top1_acc 0.8891 +top5_acc 0.9937 +2023-12-23 18:42:54,028 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 18:42:54,037 - pyskl - INFO - +mean_acc 0.8590 +2023-12-23 18:42:54,040 - pyskl - INFO - Epoch(val) [78][533] top1_acc: 0.8891, top5_acc: 0.9937, mean_class_accuracy: 0.8590 +2023-12-23 18:44:03,816 - pyskl - INFO - Epoch [79][100/1281] lr: 1.169e-02, eta: 10:41:41, time: 0.698, data_time: 0.246, memory: 4120, top1_acc: 0.9344, top5_acc: 1.0000, loss_cls: 0.2751, loss: 0.2751 +2023-12-23 18:44:49,089 - pyskl - INFO - Epoch [79][200/1281] lr: 1.167e-02, eta: 10:41:03, time: 0.453, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.2301, loss: 0.2301 +2023-12-23 18:45:33,195 - pyskl - INFO - Epoch [79][300/1281] lr: 1.165e-02, eta: 10:40:23, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 0.2422, loss: 0.2422 +2023-12-23 18:46:16,356 - pyskl - INFO - Epoch [79][400/1281] lr: 1.163e-02, eta: 10:39:42, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 0.2370, loss: 0.2370 +2023-12-23 18:47:00,043 - pyskl - INFO - Epoch [79][500/1281] lr: 1.161e-02, eta: 10:39:02, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 0.2384, loss: 0.2384 +2023-12-23 18:47:45,360 - pyskl - INFO - Epoch [79][600/1281] lr: 1.159e-02, eta: 10:38:24, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 0.2297, loss: 0.2297 +2023-12-23 18:48:30,538 - pyskl - INFO - Epoch [79][700/1281] lr: 1.157e-02, eta: 10:37:45, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 0.2575, loss: 0.2575 +2023-12-23 18:49:15,676 - pyskl - INFO - Epoch [79][800/1281] lr: 1.155e-02, eta: 10:37:06, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 0.2525, loss: 0.2525 +2023-12-23 18:50:00,846 - pyskl - INFO - Epoch [79][900/1281] lr: 1.153e-02, eta: 10:36:27, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.2477, loss: 0.2477 +2023-12-23 18:50:45,962 - pyskl - INFO - Epoch [79][1000/1281] lr: 1.151e-02, eta: 10:35:49, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 0.2408, loss: 0.2408 +2023-12-23 18:51:29,990 - pyskl - INFO - Epoch [79][1100/1281] lr: 1.149e-02, eta: 10:35:09, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 0.2571, loss: 0.2571 +2023-12-23 18:52:07,861 - pyskl - INFO - Epoch [79][1200/1281] lr: 1.147e-02, eta: 10:34:23, time: 0.379, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 1.0000, loss_cls: 0.2691, loss: 0.2691 +2023-12-23 18:52:29,911 - pyskl - INFO - Saving checkpoint at 79 epochs +2023-12-23 18:53:26,464 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 18:53:26,532 - pyskl - INFO - +top1_acc 0.8837 +top5_acc 0.9901 +2023-12-23 18:53:26,532 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 18:53:26,543 - pyskl - INFO - +mean_acc 0.8472 +2023-12-23 18:53:26,547 - pyskl - INFO - Epoch(val) [79][533] top1_acc: 0.8837, top5_acc: 0.9901, mean_class_accuracy: 0.8472 +2023-12-23 18:54:36,009 - pyskl - INFO - Epoch [80][100/1281] lr: 1.143e-02, eta: 10:33:02, time: 0.695, data_time: 0.258, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 0.2244, loss: 0.2244 +2023-12-23 18:55:19,625 - pyskl - INFO - Epoch [80][200/1281] lr: 1.141e-02, eta: 10:32:22, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 0.2521, loss: 0.2521 +2023-12-23 18:56:03,265 - pyskl - INFO - Epoch [80][300/1281] lr: 1.139e-02, eta: 10:31:42, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 0.2598, loss: 0.2598 +2023-12-23 18:56:46,428 - pyskl - INFO - Epoch [80][400/1281] lr: 1.137e-02, eta: 10:31:01, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 0.2351, loss: 0.2351 +2023-12-23 18:57:29,959 - pyskl - INFO - Epoch [80][500/1281] lr: 1.135e-02, eta: 10:30:21, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 0.2323, loss: 0.2323 +2023-12-23 18:58:13,555 - pyskl - INFO - Epoch [80][600/1281] lr: 1.133e-02, eta: 10:29:41, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 0.2386, loss: 0.2386 +2023-12-23 18:58:57,176 - pyskl - INFO - Epoch [80][700/1281] lr: 1.131e-02, eta: 10:29:00, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 0.2297, loss: 0.2297 +2023-12-23 18:59:40,727 - pyskl - INFO - Epoch [80][800/1281] lr: 1.129e-02, eta: 10:28:20, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 0.2383, loss: 0.2383 +2023-12-23 19:00:24,493 - pyskl - INFO - Epoch [80][900/1281] lr: 1.127e-02, eta: 10:27:40, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.2266, loss: 0.2266 +2023-12-23 19:01:07,980 - pyskl - INFO - Epoch [80][1000/1281] lr: 1.125e-02, eta: 10:27:00, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 0.2472, loss: 0.2472 +2023-12-23 19:01:51,582 - pyskl - INFO - Epoch [80][1100/1281] lr: 1.123e-02, eta: 10:26:19, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.2224, loss: 0.2224 +2023-12-23 19:02:29,098 - pyskl - INFO - Epoch [80][1200/1281] lr: 1.121e-02, eta: 10:25:34, time: 0.375, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 0.2669, loss: 0.2669 +2023-12-23 19:02:48,682 - pyskl - INFO - Saving checkpoint at 80 epochs +2023-12-23 19:03:48,080 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 19:03:48,140 - pyskl - INFO - +top1_acc 0.8530 +top5_acc 0.9907 +2023-12-23 19:03:48,141 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 19:03:48,148 - pyskl - INFO - +mean_acc 0.8094 +2023-12-23 19:03:48,151 - pyskl - INFO - Epoch(val) [80][533] top1_acc: 0.8530, top5_acc: 0.9907, mean_class_accuracy: 0.8094 +2023-12-23 19:04:58,058 - pyskl - INFO - Epoch [81][100/1281] lr: 1.117e-02, eta: 10:24:13, time: 0.699, data_time: 0.263, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 0.2439, loss: 0.2439 +2023-12-23 19:05:41,605 - pyskl - INFO - Epoch [81][200/1281] lr: 1.115e-02, eta: 10:23:33, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 0.2342, loss: 0.2342 +2023-12-23 19:06:25,177 - pyskl - INFO - Epoch [81][300/1281] lr: 1.113e-02, eta: 10:22:52, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 0.2583, loss: 0.2583 +2023-12-23 19:07:08,930 - pyskl - INFO - Epoch [81][400/1281] lr: 1.111e-02, eta: 10:22:12, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 0.2482, loss: 0.2482 +2023-12-23 19:07:52,351 - pyskl - INFO - Epoch [81][500/1281] lr: 1.109e-02, eta: 10:21:32, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.1895, loss: 0.1895 +2023-12-23 19:08:37,523 - pyskl - INFO - Epoch [81][600/1281] lr: 1.107e-02, eta: 10:20:53, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 0.2612, loss: 0.2612 +2023-12-23 19:09:22,838 - pyskl - INFO - Epoch [81][700/1281] lr: 1.105e-02, eta: 10:20:14, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.2622, loss: 0.2622 +2023-12-23 19:10:07,810 - pyskl - INFO - Epoch [81][800/1281] lr: 1.103e-02, eta: 10:19:35, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.2255, loss: 0.2255 +2023-12-23 19:10:53,030 - pyskl - INFO - Epoch [81][900/1281] lr: 1.101e-02, eta: 10:18:56, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 0.2233, loss: 0.2233 +2023-12-23 19:11:37,687 - pyskl - INFO - Epoch [81][1000/1281] lr: 1.099e-02, eta: 10:18:17, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 0.2608, loss: 0.2608 +2023-12-23 19:12:21,310 - pyskl - INFO - Epoch [81][1100/1281] lr: 1.097e-02, eta: 10:17:36, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 0.2951, loss: 0.2951 +2023-12-23 19:13:00,780 - pyskl - INFO - Epoch [81][1200/1281] lr: 1.095e-02, eta: 10:16:53, time: 0.395, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 1.0000, loss_cls: 0.2414, loss: 0.2414 +2023-12-23 19:13:22,528 - pyskl - INFO - Saving checkpoint at 81 epochs +2023-12-23 19:14:17,757 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 19:14:17,824 - pyskl - INFO - +top1_acc 0.8904 +top5_acc 0.9907 +2023-12-23 19:14:17,824 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 19:14:17,832 - pyskl - INFO - +mean_acc 0.8398 +2023-12-23 19:14:17,835 - pyskl - INFO - Epoch(val) [81][533] top1_acc: 0.8904, top5_acc: 0.9907, mean_class_accuracy: 0.8398 +2023-12-23 19:15:25,572 - pyskl - INFO - Epoch [82][100/1281] lr: 1.091e-02, eta: 10:15:30, time: 0.677, data_time: 0.240, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.2223, loss: 0.2223 +2023-12-23 19:16:09,220 - pyskl - INFO - Epoch [82][200/1281] lr: 1.089e-02, eta: 10:14:50, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 1.0000, loss_cls: 0.2160, loss: 0.2160 +2023-12-23 19:16:53,573 - pyskl - INFO - Epoch [82][300/1281] lr: 1.087e-02, eta: 10:14:10, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2130, loss: 0.2130 +2023-12-23 19:17:38,257 - pyskl - INFO - Epoch [82][400/1281] lr: 1.085e-02, eta: 10:13:31, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.1854, loss: 0.1854 +2023-12-23 19:18:21,712 - pyskl - INFO - Epoch [82][500/1281] lr: 1.083e-02, eta: 10:12:50, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 0.2606, loss: 0.2606 +2023-12-23 19:19:04,749 - pyskl - INFO - Epoch [82][600/1281] lr: 1.081e-02, eta: 10:12:09, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.2716, loss: 0.2716 +2023-12-23 19:19:48,275 - pyskl - INFO - Epoch [82][700/1281] lr: 1.079e-02, eta: 10:11:29, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.2457, loss: 0.2457 +2023-12-23 19:20:33,415 - pyskl - INFO - Epoch [82][800/1281] lr: 1.077e-02, eta: 10:10:50, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.2612, loss: 0.2612 +2023-12-23 19:21:18,441 - pyskl - INFO - Epoch [82][900/1281] lr: 1.075e-02, eta: 10:10:11, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 0.2467, loss: 0.2467 +2023-12-23 19:22:02,053 - pyskl - INFO - Epoch [82][1000/1281] lr: 1.073e-02, eta: 10:09:30, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.2193, loss: 0.2193 +2023-12-23 19:22:45,544 - pyskl - INFO - Epoch [82][1100/1281] lr: 1.071e-02, eta: 10:08:50, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2362, loss: 0.2362 +2023-12-23 19:23:23,480 - pyskl - INFO - Epoch [82][1200/1281] lr: 1.069e-02, eta: 10:08:05, time: 0.379, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 0.2325, loss: 0.2325 +2023-12-23 19:23:43,359 - pyskl - INFO - Saving checkpoint at 82 epochs +2023-12-23 19:24:38,933 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 19:24:38,991 - pyskl - INFO - +top1_acc 0.8880 +top5_acc 0.9911 +2023-12-23 19:24:38,991 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 19:24:38,999 - pyskl - INFO - +mean_acc 0.8495 +2023-12-23 19:24:39,002 - pyskl - INFO - Epoch(val) [82][533] top1_acc: 0.8880, top5_acc: 0.9911, mean_class_accuracy: 0.8495 +2023-12-23 19:25:47,311 - pyskl - INFO - Epoch [83][100/1281] lr: 1.065e-02, eta: 10:06:43, time: 0.683, data_time: 0.247, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 0.1869, loss: 0.1869 +2023-12-23 19:26:32,519 - pyskl - INFO - Epoch [83][200/1281] lr: 1.063e-02, eta: 10:06:04, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 0.2393, loss: 0.2393 +2023-12-23 19:27:17,746 - pyskl - INFO - Epoch [83][300/1281] lr: 1.061e-02, eta: 10:05:25, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.2220, loss: 0.2220 +2023-12-23 19:28:02,744 - pyskl - INFO - Epoch [83][400/1281] lr: 1.059e-02, eta: 10:04:45, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.2364, loss: 0.2364 +2023-12-23 19:28:47,803 - pyskl - INFO - Epoch [83][500/1281] lr: 1.057e-02, eta: 10:04:06, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 0.2352, loss: 0.2352 +2023-12-23 19:29:31,970 - pyskl - INFO - Epoch [83][600/1281] lr: 1.055e-02, eta: 10:03:26, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 1.0000, loss_cls: 0.2491, loss: 0.2491 +2023-12-23 19:30:14,991 - pyskl - INFO - Epoch [83][700/1281] lr: 1.053e-02, eta: 10:02:45, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.2162, loss: 0.2162 +2023-12-23 19:30:58,747 - pyskl - INFO - Epoch [83][800/1281] lr: 1.051e-02, eta: 10:02:05, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9444, top5_acc: 1.0000, loss_cls: 0.2544, loss: 0.2544 +2023-12-23 19:31:42,654 - pyskl - INFO - Epoch [83][900/1281] lr: 1.049e-02, eta: 10:01:25, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.2057, loss: 0.2057 +2023-12-23 19:32:26,399 - pyskl - INFO - Epoch [83][1000/1281] lr: 1.047e-02, eta: 10:00:45, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 0.2363, loss: 0.2363 +2023-12-23 19:33:10,393 - pyskl - INFO - Epoch [83][1100/1281] lr: 1.045e-02, eta: 10:00:04, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.2294, loss: 0.2294 +2023-12-23 19:33:49,489 - pyskl - INFO - Epoch [83][1200/1281] lr: 1.043e-02, eta: 9:59:20, time: 0.391, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 0.2713, loss: 0.2713 +2023-12-23 19:34:12,289 - pyskl - INFO - Saving checkpoint at 83 epochs +2023-12-23 19:35:07,962 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 19:35:08,022 - pyskl - INFO - +top1_acc 0.8918 +top5_acc 0.9925 +2023-12-23 19:35:08,022 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 19:35:08,031 - pyskl - INFO - +mean_acc 0.8625 +2023-12-23 19:35:08,034 - pyskl - INFO - Epoch(val) [83][533] top1_acc: 0.8918, top5_acc: 0.9925, mean_class_accuracy: 0.8625 +2023-12-23 19:36:13,631 - pyskl - INFO - Epoch [84][100/1281] lr: 1.040e-02, eta: 9:57:56, time: 0.656, data_time: 0.203, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.1943, loss: 0.1943 +2023-12-23 19:36:58,982 - pyskl - INFO - Epoch [84][200/1281] lr: 1.038e-02, eta: 9:57:17, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2215, loss: 0.2215 +2023-12-23 19:37:44,092 - pyskl - INFO - Epoch [84][300/1281] lr: 1.036e-02, eta: 9:56:38, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.2005, loss: 0.2005 +2023-12-23 19:38:29,137 - pyskl - INFO - Epoch [84][400/1281] lr: 1.034e-02, eta: 9:55:59, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 0.1992, loss: 0.1992 +2023-12-23 19:39:14,017 - pyskl - INFO - Epoch [84][500/1281] lr: 1.031e-02, eta: 9:55:19, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2027, loss: 0.2027 +2023-12-23 19:39:57,887 - pyskl - INFO - Epoch [84][600/1281] lr: 1.029e-02, eta: 9:54:39, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 0.2086, loss: 0.2086 +2023-12-23 19:40:41,473 - pyskl - INFO - Epoch [84][700/1281] lr: 1.027e-02, eta: 9:53:59, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 0.2337, loss: 0.2337 +2023-12-23 19:41:24,607 - pyskl - INFO - Epoch [84][800/1281] lr: 1.025e-02, eta: 9:53:18, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 0.2141, loss: 0.2141 +2023-12-23 19:42:08,366 - pyskl - INFO - Epoch [84][900/1281] lr: 1.023e-02, eta: 9:52:37, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 0.2075, loss: 0.2075 +2023-12-23 19:42:53,662 - pyskl - INFO - Epoch [84][1000/1281] lr: 1.021e-02, eta: 9:51:58, time: 0.453, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1802, loss: 0.1802 +2023-12-23 19:43:38,507 - pyskl - INFO - Epoch [84][1100/1281] lr: 1.019e-02, eta: 9:51:19, time: 0.448, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 0.2213, loss: 0.2213 +2023-12-23 19:44:17,897 - pyskl - INFO - Epoch [84][1200/1281] lr: 1.017e-02, eta: 9:50:35, time: 0.394, data_time: 0.001, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 0.2107, loss: 0.2107 +2023-12-23 19:44:39,907 - pyskl - INFO - Saving checkpoint at 84 epochs +2023-12-23 19:45:35,404 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 19:45:35,462 - pyskl - INFO - +top1_acc 0.8718 +top5_acc 0.9890 +2023-12-23 19:45:35,462 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 19:45:35,471 - pyskl - INFO - +mean_acc 0.8417 +2023-12-23 19:45:35,473 - pyskl - INFO - Epoch(val) [84][533] top1_acc: 0.8718, top5_acc: 0.9890, mean_class_accuracy: 0.8417 +2023-12-23 19:46:40,532 - pyskl - INFO - Epoch [85][100/1281] lr: 1.014e-02, eta: 9:49:11, time: 0.651, data_time: 0.206, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2066, loss: 0.2066 +2023-12-23 19:47:25,081 - pyskl - INFO - Epoch [85][200/1281] lr: 1.012e-02, eta: 9:48:31, time: 0.445, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2089, loss: 0.2089 +2023-12-23 19:48:10,104 - pyskl - INFO - Epoch [85][300/1281] lr: 1.010e-02, eta: 9:47:51, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.2266, loss: 0.2266 +2023-12-23 19:48:55,107 - pyskl - INFO - Epoch [85][400/1281] lr: 1.008e-02, eta: 9:47:12, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 0.2313, loss: 0.2313 +2023-12-23 19:49:39,715 - pyskl - INFO - Epoch [85][500/1281] lr: 1.006e-02, eta: 9:46:32, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 1.0000, loss_cls: 0.2368, loss: 0.2368 +2023-12-23 19:50:22,695 - pyskl - INFO - Epoch [85][600/1281] lr: 1.004e-02, eta: 9:45:51, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 0.2220, loss: 0.2220 +2023-12-23 19:51:06,657 - pyskl - INFO - Epoch [85][700/1281] lr: 1.002e-02, eta: 9:45:11, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 0.2099, loss: 0.2099 +2023-12-23 19:51:50,914 - pyskl - INFO - Epoch [85][800/1281] lr: 9.998e-03, eta: 9:44:31, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.2412, loss: 0.2412 +2023-12-23 19:52:34,261 - pyskl - INFO - Epoch [85][900/1281] lr: 9.978e-03, eta: 9:43:50, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 0.2150, loss: 0.2150 +2023-12-23 19:53:17,549 - pyskl - INFO - Epoch [85][1000/1281] lr: 9.958e-03, eta: 9:43:09, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 0.2316, loss: 0.2316 +2023-12-23 19:54:00,559 - pyskl - INFO - Epoch [85][1100/1281] lr: 9.937e-03, eta: 9:42:28, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 1.0000, loss_cls: 0.2425, loss: 0.2425 +2023-12-23 19:54:37,601 - pyskl - INFO - Epoch [85][1200/1281] lr: 9.917e-03, eta: 9:41:43, time: 0.370, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2293, loss: 0.2293 +2023-12-23 19:54:59,756 - pyskl - INFO - Saving checkpoint at 85 epochs +2023-12-23 19:55:55,514 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 19:55:55,578 - pyskl - INFO - +top1_acc 0.9063 +top5_acc 0.9940 +2023-12-23 19:55:55,579 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 19:55:55,589 - pyskl - INFO - +mean_acc 0.8659 +2023-12-23 19:55:55,600 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_75.pth was removed +2023-12-23 19:55:55,859 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_85.pth. +2023-12-23 19:55:55,860 - pyskl - INFO - Best top1_acc is 0.9063 at 85 epoch. +2023-12-23 19:55:55,867 - pyskl - INFO - Epoch(val) [85][533] top1_acc: 0.9063, top5_acc: 0.9940, mean_class_accuracy: 0.8659 +2023-12-23 19:57:02,156 - pyskl - INFO - Epoch [86][100/1281] lr: 9.881e-03, eta: 9:40:20, time: 0.663, data_time: 0.226, memory: 4120, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 0.2270, loss: 0.2270 +2023-12-23 19:57:46,560 - pyskl - INFO - Epoch [86][200/1281] lr: 9.861e-03, eta: 9:39:40, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 0.1944, loss: 0.1944 +2023-12-23 19:58:30,948 - pyskl - INFO - Epoch [86][300/1281] lr: 9.841e-03, eta: 9:39:00, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.1973, loss: 0.1973 +2023-12-23 19:59:15,521 - pyskl - INFO - Epoch [86][400/1281] lr: 9.821e-03, eta: 9:38:20, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.1928, loss: 0.1928 +2023-12-23 20:00:00,489 - pyskl - INFO - Epoch [86][500/1281] lr: 9.801e-03, eta: 9:37:40, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.1818, loss: 0.1818 +2023-12-23 20:00:44,353 - pyskl - INFO - Epoch [86][600/1281] lr: 9.781e-03, eta: 9:37:00, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 0.1810, loss: 0.1810 +2023-12-23 20:01:29,322 - pyskl - INFO - Epoch [86][700/1281] lr: 9.762e-03, eta: 9:36:21, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.1919, loss: 0.1919 +2023-12-23 20:02:13,828 - pyskl - INFO - Epoch [86][800/1281] lr: 9.742e-03, eta: 9:35:41, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2107, loss: 0.2107 +2023-12-23 20:02:57,069 - pyskl - INFO - Epoch [86][900/1281] lr: 9.722e-03, eta: 9:35:00, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.1875, loss: 0.1875 +2023-12-23 20:03:39,910 - pyskl - INFO - Epoch [86][1000/1281] lr: 9.702e-03, eta: 9:34:19, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 0.2230, loss: 0.2230 +2023-12-23 20:04:23,379 - pyskl - INFO - Epoch [86][1100/1281] lr: 9.682e-03, eta: 9:33:38, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 0.1960, loss: 0.1960 +2023-12-23 20:05:01,228 - pyskl - INFO - Epoch [86][1200/1281] lr: 9.662e-03, eta: 9:32:53, time: 0.378, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.2621, loss: 0.2621 +2023-12-23 20:05:23,251 - pyskl - INFO - Saving checkpoint at 86 epochs +2023-12-23 20:06:18,876 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 20:06:18,946 - pyskl - INFO - +top1_acc 0.8944 +top5_acc 0.9937 +2023-12-23 20:06:18,946 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 20:06:18,957 - pyskl - INFO - +mean_acc 0.8520 +2023-12-23 20:06:18,961 - pyskl - INFO - Epoch(val) [86][533] top1_acc: 0.8944, top5_acc: 0.9937, mean_class_accuracy: 0.8520 +2023-12-23 20:07:25,908 - pyskl - INFO - Epoch [87][100/1281] lr: 9.626e-03, eta: 9:31:31, time: 0.669, data_time: 0.226, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 0.2446, loss: 0.2446 +2023-12-23 20:08:10,689 - pyskl - INFO - Epoch [87][200/1281] lr: 9.606e-03, eta: 9:30:51, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.1735, loss: 0.1735 +2023-12-23 20:08:55,951 - pyskl - INFO - Epoch [87][300/1281] lr: 9.586e-03, eta: 9:30:11, time: 0.453, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 0.1924, loss: 0.1924 +2023-12-23 20:09:40,335 - pyskl - INFO - Epoch [87][400/1281] lr: 9.566e-03, eta: 9:29:31, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.2378, loss: 0.2378 +2023-12-23 20:10:23,753 - pyskl - INFO - Epoch [87][500/1281] lr: 9.546e-03, eta: 9:28:51, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 0.2321, loss: 0.2321 +2023-12-23 20:11:07,199 - pyskl - INFO - Epoch [87][600/1281] lr: 9.527e-03, eta: 9:28:10, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.2111, loss: 0.2111 +2023-12-23 20:11:50,131 - pyskl - INFO - Epoch [87][700/1281] lr: 9.507e-03, eta: 9:27:29, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 0.2063, loss: 0.2063 +2023-12-23 20:12:33,380 - pyskl - INFO - Epoch [87][800/1281] lr: 9.487e-03, eta: 9:26:48, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 0.2064, loss: 0.2064 +2023-12-23 20:13:16,733 - pyskl - INFO - Epoch [87][900/1281] lr: 9.467e-03, eta: 9:26:07, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 0.2435, loss: 0.2435 +2023-12-23 20:13:59,993 - pyskl - INFO - Epoch [87][1000/1281] lr: 9.447e-03, eta: 9:25:26, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 0.2164, loss: 0.2164 +2023-12-23 20:14:43,588 - pyskl - INFO - Epoch [87][1100/1281] lr: 9.427e-03, eta: 9:24:45, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 1.0000, loss_cls: 0.2428, loss: 0.2428 +2023-12-23 20:15:23,284 - pyskl - INFO - Epoch [87][1200/1281] lr: 9.408e-03, eta: 9:24:02, time: 0.397, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2269, loss: 0.2269 +2023-12-23 20:15:45,136 - pyskl - INFO - Saving checkpoint at 87 epochs +2023-12-23 20:16:38,282 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 20:16:38,345 - pyskl - INFO - +top1_acc 0.8914 +top5_acc 0.9920 +2023-12-23 20:16:38,345 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 20:16:38,353 - pyskl - INFO - +mean_acc 0.8564 +2023-12-23 20:16:38,356 - pyskl - INFO - Epoch(val) [87][533] top1_acc: 0.8914, top5_acc: 0.9920, mean_class_accuracy: 0.8564 +2023-12-23 20:17:47,096 - pyskl - INFO - Epoch [88][100/1281] lr: 9.372e-03, eta: 9:22:41, time: 0.687, data_time: 0.233, memory: 4120, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 0.2254, loss: 0.2254 +2023-12-23 20:18:32,481 - pyskl - INFO - Epoch [88][200/1281] lr: 9.352e-03, eta: 9:22:02, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 0.1867, loss: 0.1867 +2023-12-23 20:19:16,670 - pyskl - INFO - Epoch [88][300/1281] lr: 9.332e-03, eta: 9:21:21, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1708, loss: 0.1708 +2023-12-23 20:20:00,320 - pyskl - INFO - Epoch [88][400/1281] lr: 9.312e-03, eta: 9:20:41, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 0.2069, loss: 0.2069 +2023-12-23 20:20:43,739 - pyskl - INFO - Epoch [88][500/1281] lr: 9.293e-03, eta: 9:20:00, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2083, loss: 0.2083 +2023-12-23 20:21:26,861 - pyskl - INFO - Epoch [88][600/1281] lr: 9.273e-03, eta: 9:19:19, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.1898, loss: 0.1898 +2023-12-23 20:22:10,846 - pyskl - INFO - Epoch [88][700/1281] lr: 9.253e-03, eta: 9:18:39, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 0.1996, loss: 0.1996 +2023-12-23 20:22:55,874 - pyskl - INFO - Epoch [88][800/1281] lr: 9.233e-03, eta: 9:17:59, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 0.2088, loss: 0.2088 +2023-12-23 20:23:41,000 - pyskl - INFO - Epoch [88][900/1281] lr: 9.214e-03, eta: 9:17:19, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.1918, loss: 0.1918 +2023-12-23 20:24:24,624 - pyskl - INFO - Epoch [88][1000/1281] lr: 9.194e-03, eta: 9:16:39, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2113, loss: 0.2113 +2023-12-23 20:25:08,552 - pyskl - INFO - Epoch [88][1100/1281] lr: 9.174e-03, eta: 9:15:58, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.2002, loss: 0.2002 +2023-12-23 20:25:46,679 - pyskl - INFO - Epoch [88][1200/1281] lr: 9.155e-03, eta: 9:15:14, time: 0.381, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2263, loss: 0.2263 +2023-12-23 20:26:08,404 - pyskl - INFO - Saving checkpoint at 88 epochs +2023-12-23 20:27:01,951 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 20:27:02,036 - pyskl - INFO - +top1_acc 0.8880 +top5_acc 0.9918 +2023-12-23 20:27:02,036 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 20:27:02,045 - pyskl - INFO - +mean_acc 0.8496 +2023-12-23 20:27:02,047 - pyskl - INFO - Epoch(val) [88][533] top1_acc: 0.8880, top5_acc: 0.9918, mean_class_accuracy: 0.8496 +2023-12-23 20:28:10,029 - pyskl - INFO - Epoch [89][100/1281] lr: 9.119e-03, eta: 9:13:52, time: 0.680, data_time: 0.238, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1650, loss: 0.1650 +2023-12-23 20:28:53,833 - pyskl - INFO - Epoch [89][200/1281] lr: 9.099e-03, eta: 9:13:12, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1661, loss: 0.1661 +2023-12-23 20:29:37,422 - pyskl - INFO - Epoch [89][300/1281] lr: 9.080e-03, eta: 9:12:31, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.1950, loss: 0.1950 +2023-12-23 20:30:20,629 - pyskl - INFO - Epoch [89][400/1281] lr: 9.060e-03, eta: 9:11:50, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 0.1837, loss: 0.1837 +2023-12-23 20:31:03,705 - pyskl - INFO - Epoch [89][500/1281] lr: 9.040e-03, eta: 9:11:09, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2113, loss: 0.2113 +2023-12-23 20:31:47,461 - pyskl - INFO - Epoch [89][600/1281] lr: 9.021e-03, eta: 9:10:28, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2152, loss: 0.2152 +2023-12-23 20:32:31,088 - pyskl - INFO - Epoch [89][700/1281] lr: 9.001e-03, eta: 9:09:48, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 0.2152, loss: 0.2152 +2023-12-23 20:33:14,801 - pyskl - INFO - Epoch [89][800/1281] lr: 8.982e-03, eta: 9:09:07, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 0.2251, loss: 0.2251 +2023-12-23 20:33:58,355 - pyskl - INFO - Epoch [89][900/1281] lr: 8.962e-03, eta: 9:08:26, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.1967, loss: 0.1967 +2023-12-23 20:34:41,591 - pyskl - INFO - Epoch [89][1000/1281] lr: 8.942e-03, eta: 9:07:45, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.2063, loss: 0.2063 +2023-12-23 20:35:24,518 - pyskl - INFO - Epoch [89][1100/1281] lr: 8.923e-03, eta: 9:07:04, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2034, loss: 0.2034 +2023-12-23 20:36:03,076 - pyskl - INFO - Epoch [89][1200/1281] lr: 8.903e-03, eta: 9:06:20, time: 0.386, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 0.2124, loss: 0.2124 +2023-12-23 20:36:24,611 - pyskl - INFO - Saving checkpoint at 89 epochs +2023-12-23 20:37:20,891 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 20:37:20,967 - pyskl - INFO - +top1_acc 0.9062 +top5_acc 0.9950 +2023-12-23 20:37:20,968 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 20:37:20,981 - pyskl - INFO - +mean_acc 0.8780 +2023-12-23 20:37:20,984 - pyskl - INFO - Epoch(val) [89][533] top1_acc: 0.9062, top5_acc: 0.9950, mean_class_accuracy: 0.8780 +2023-12-23 20:38:27,688 - pyskl - INFO - Epoch [90][100/1281] lr: 8.868e-03, eta: 9:04:58, time: 0.667, data_time: 0.226, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 0.1910, loss: 0.1910 +2023-12-23 20:39:12,168 - pyskl - INFO - Epoch [90][200/1281] lr: 8.848e-03, eta: 9:04:17, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 0.1873, loss: 0.1873 +2023-12-23 20:39:55,437 - pyskl - INFO - Epoch [90][300/1281] lr: 8.829e-03, eta: 9:03:36, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 0.2215, loss: 0.2215 +2023-12-23 20:40:39,052 - pyskl - INFO - Epoch [90][400/1281] lr: 8.809e-03, eta: 9:02:56, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2025, loss: 0.2025 +2023-12-23 20:41:22,676 - pyskl - INFO - Epoch [90][500/1281] lr: 8.790e-03, eta: 9:02:15, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.1784, loss: 0.1784 +2023-12-23 20:42:06,220 - pyskl - INFO - Epoch [90][600/1281] lr: 8.770e-03, eta: 9:01:34, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 0.2093, loss: 0.2093 +2023-12-23 20:42:49,681 - pyskl - INFO - Epoch [90][700/1281] lr: 8.751e-03, eta: 9:00:53, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.1927, loss: 0.1927 +2023-12-23 20:43:32,939 - pyskl - INFO - Epoch [90][800/1281] lr: 8.731e-03, eta: 9:00:12, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1634, loss: 0.1634 +2023-12-23 20:44:16,042 - pyskl - INFO - Epoch [90][900/1281] lr: 8.712e-03, eta: 8:59:31, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1306, loss: 0.1306 +2023-12-23 20:45:00,374 - pyskl - INFO - Epoch [90][1000/1281] lr: 8.692e-03, eta: 8:58:51, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.1992, loss: 0.1992 +2023-12-23 20:45:45,255 - pyskl - INFO - Epoch [90][1100/1281] lr: 8.673e-03, eta: 8:58:11, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 0.1876, loss: 0.1876 +2023-12-23 20:46:25,174 - pyskl - INFO - Epoch [90][1200/1281] lr: 8.653e-03, eta: 8:57:28, time: 0.399, data_time: 0.001, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.1976, loss: 0.1976 +2023-12-23 20:46:46,517 - pyskl - INFO - Saving checkpoint at 90 epochs +2023-12-23 20:47:43,155 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 20:47:43,229 - pyskl - INFO - +top1_acc 0.8932 +top5_acc 0.9920 +2023-12-23 20:47:43,229 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 20:47:43,237 - pyskl - INFO - +mean_acc 0.8644 +2023-12-23 20:47:43,239 - pyskl - INFO - Epoch(val) [90][533] top1_acc: 0.8932, top5_acc: 0.9920, mean_class_accuracy: 0.8644 +2023-12-23 20:48:50,755 - pyskl - INFO - Epoch [91][100/1281] lr: 8.618e-03, eta: 8:56:06, time: 0.675, data_time: 0.234, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.1984, loss: 0.1984 +2023-12-23 20:49:35,354 - pyskl - INFO - Epoch [91][200/1281] lr: 8.599e-03, eta: 8:55:26, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 0.1764, loss: 0.1764 +2023-12-23 20:50:20,912 - pyskl - INFO - Epoch [91][300/1281] lr: 8.579e-03, eta: 8:54:47, time: 0.456, data_time: 0.001, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1581, loss: 0.1581 +2023-12-23 20:51:05,874 - pyskl - INFO - Epoch [91][400/1281] lr: 8.560e-03, eta: 8:54:07, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1598, loss: 0.1598 +2023-12-23 20:51:49,292 - pyskl - INFO - Epoch [91][500/1281] lr: 8.540e-03, eta: 8:53:26, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.1938, loss: 0.1938 +2023-12-23 20:52:33,361 - pyskl - INFO - Epoch [91][600/1281] lr: 8.521e-03, eta: 8:52:45, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2002, loss: 0.2002 +2023-12-23 20:53:18,769 - pyskl - INFO - Epoch [91][700/1281] lr: 8.502e-03, eta: 8:52:06, time: 0.454, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 0.2056, loss: 0.2056 +2023-12-23 20:54:02,751 - pyskl - INFO - Epoch [91][800/1281] lr: 8.482e-03, eta: 8:51:25, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.1825, loss: 0.1825 +2023-12-23 20:54:47,862 - pyskl - INFO - Epoch [91][900/1281] lr: 8.463e-03, eta: 8:50:45, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 0.2233, loss: 0.2233 +2023-12-23 20:55:32,082 - pyskl - INFO - Epoch [91][1000/1281] lr: 8.444e-03, eta: 8:50:05, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 0.1960, loss: 0.1960 +2023-12-23 20:56:16,066 - pyskl - INFO - Epoch [91][1100/1281] lr: 8.424e-03, eta: 8:49:24, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.1741, loss: 0.1741 +2023-12-23 20:56:55,960 - pyskl - INFO - Epoch [91][1200/1281] lr: 8.405e-03, eta: 8:48:41, time: 0.399, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.2038, loss: 0.2038 +2023-12-23 20:57:15,395 - pyskl - INFO - Saving checkpoint at 91 epochs +2023-12-23 20:58:11,558 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 20:58:11,621 - pyskl - INFO - +top1_acc 0.9069 +top5_acc 0.9944 +2023-12-23 20:58:11,622 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 20:58:11,631 - pyskl - INFO - +mean_acc 0.8780 +2023-12-23 20:58:11,636 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_85.pth was removed +2023-12-23 20:58:11,849 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. +2023-12-23 20:58:11,849 - pyskl - INFO - Best top1_acc is 0.9069 at 91 epoch. +2023-12-23 20:58:11,853 - pyskl - INFO - Epoch(val) [91][533] top1_acc: 0.9069, top5_acc: 0.9944, mean_class_accuracy: 0.8780 +2023-12-23 20:59:19,026 - pyskl - INFO - Epoch [92][100/1281] lr: 8.370e-03, eta: 8:47:20, time: 0.672, data_time: 0.217, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1343, loss: 0.1343 +2023-12-23 21:00:04,838 - pyskl - INFO - Epoch [92][200/1281] lr: 8.351e-03, eta: 8:46:40, time: 0.458, data_time: 0.001, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1377, loss: 0.1377 +2023-12-23 21:00:50,291 - pyskl - INFO - Epoch [92][300/1281] lr: 8.332e-03, eta: 8:46:01, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1513, loss: 0.1513 +2023-12-23 21:01:35,791 - pyskl - INFO - Epoch [92][400/1281] lr: 8.312e-03, eta: 8:45:21, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1697, loss: 0.1697 +2023-12-23 21:02:20,933 - pyskl - INFO - Epoch [92][500/1281] lr: 8.293e-03, eta: 8:44:41, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.1611, loss: 0.1611 +2023-12-23 21:03:04,879 - pyskl - INFO - Epoch [92][600/1281] lr: 8.274e-03, eta: 8:44:00, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.1969, loss: 0.1969 +2023-12-23 21:03:50,188 - pyskl - INFO - Epoch [92][700/1281] lr: 8.255e-03, eta: 8:43:21, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.1749, loss: 0.1749 +2023-12-23 21:04:35,544 - pyskl - INFO - Epoch [92][800/1281] lr: 8.235e-03, eta: 8:42:41, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.2163, loss: 0.2163 +2023-12-23 21:05:20,586 - pyskl - INFO - Epoch [92][900/1281] lr: 8.216e-03, eta: 8:42:01, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1833, loss: 0.1833 +2023-12-23 21:06:04,152 - pyskl - INFO - Epoch [92][1000/1281] lr: 8.197e-03, eta: 8:41:20, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 0.2311, loss: 0.2311 +2023-12-23 21:06:47,869 - pyskl - INFO - Epoch [92][1100/1281] lr: 8.178e-03, eta: 8:40:39, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.1840, loss: 0.1840 +2023-12-23 21:07:28,073 - pyskl - INFO - Epoch [92][1200/1281] lr: 8.159e-03, eta: 8:39:56, time: 0.402, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.2031, loss: 0.2031 +2023-12-23 21:07:48,022 - pyskl - INFO - Saving checkpoint at 92 epochs +2023-12-23 21:08:43,014 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 21:08:43,075 - pyskl - INFO - +top1_acc 0.9001 +top5_acc 0.9920 +2023-12-23 21:08:43,075 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 21:08:43,083 - pyskl - INFO - +mean_acc 0.8707 +2023-12-23 21:08:43,086 - pyskl - INFO - Epoch(val) [92][533] top1_acc: 0.9001, top5_acc: 0.9920, mean_class_accuracy: 0.8707 +2023-12-23 21:09:50,751 - pyskl - INFO - Epoch [93][100/1281] lr: 8.124e-03, eta: 8:38:35, time: 0.677, data_time: 0.232, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1374, loss: 0.1374 +2023-12-23 21:10:36,057 - pyskl - INFO - Epoch [93][200/1281] lr: 8.105e-03, eta: 8:37:55, time: 0.453, data_time: 0.001, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 0.1765, loss: 0.1765 +2023-12-23 21:11:21,009 - pyskl - INFO - Epoch [93][300/1281] lr: 8.086e-03, eta: 8:37:15, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.1828, loss: 0.1828 +2023-12-23 21:12:04,043 - pyskl - INFO - Epoch [93][400/1281] lr: 8.067e-03, eta: 8:36:34, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.1908, loss: 0.1908 +2023-12-23 21:12:47,564 - pyskl - INFO - Epoch [93][500/1281] lr: 8.047e-03, eta: 8:35:53, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 0.1966, loss: 0.1966 +2023-12-23 21:13:31,217 - pyskl - INFO - Epoch [93][600/1281] lr: 8.028e-03, eta: 8:35:12, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.1834, loss: 0.1834 +2023-12-23 21:14:16,577 - pyskl - INFO - Epoch [93][700/1281] lr: 8.009e-03, eta: 8:34:32, time: 0.454, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.1819, loss: 0.1819 +2023-12-23 21:15:01,773 - pyskl - INFO - Epoch [93][800/1281] lr: 7.990e-03, eta: 8:33:52, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 0.1902, loss: 0.1902 +2023-12-23 21:15:46,242 - pyskl - INFO - Epoch [93][900/1281] lr: 7.971e-03, eta: 8:33:12, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1616, loss: 0.1616 +2023-12-23 21:16:29,547 - pyskl - INFO - Epoch [93][1000/1281] lr: 7.952e-03, eta: 8:32:31, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1529, loss: 0.1529 +2023-12-23 21:17:12,189 - pyskl - INFO - Epoch [93][1100/1281] lr: 7.933e-03, eta: 8:31:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1563, loss: 0.1563 +2023-12-23 21:17:52,470 - pyskl - INFO - Epoch [93][1200/1281] lr: 7.914e-03, eta: 8:31:06, time: 0.403, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2096, loss: 0.2096 +2023-12-23 21:18:12,631 - pyskl - INFO - Saving checkpoint at 93 epochs +2023-12-23 21:19:07,685 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 21:19:07,745 - pyskl - INFO - +top1_acc 0.9025 +top5_acc 0.9953 +2023-12-23 21:19:07,745 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 21:19:07,754 - pyskl - INFO - +mean_acc 0.8729 +2023-12-23 21:19:07,757 - pyskl - INFO - Epoch(val) [93][533] top1_acc: 0.9025, top5_acc: 0.9953, mean_class_accuracy: 0.8729 +2023-12-23 21:20:10,483 - pyskl - INFO - Epoch [94][100/1281] lr: 7.880e-03, eta: 8:29:42, time: 0.627, data_time: 0.200, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1310, loss: 0.1310 +2023-12-23 21:20:53,218 - pyskl - INFO - Epoch [94][200/1281] lr: 7.861e-03, eta: 8:29:01, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.1713, loss: 0.1713 +2023-12-23 21:21:35,823 - pyskl - INFO - Epoch [94][300/1281] lr: 7.842e-03, eta: 8:28:19, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.1821, loss: 0.1821 +2023-12-23 21:22:18,397 - pyskl - INFO - Epoch [94][400/1281] lr: 7.823e-03, eta: 8:27:38, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1501, loss: 0.1501 +2023-12-23 21:23:01,051 - pyskl - INFO - Epoch [94][500/1281] lr: 7.804e-03, eta: 8:26:56, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.1787, loss: 0.1787 +2023-12-23 21:23:43,724 - pyskl - INFO - Epoch [94][600/1281] lr: 7.785e-03, eta: 8:26:15, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.1704, loss: 0.1704 +2023-12-23 21:24:26,258 - pyskl - INFO - Epoch [94][700/1281] lr: 7.766e-03, eta: 8:25:33, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1723, loss: 0.1723 +2023-12-23 21:25:08,883 - pyskl - INFO - Epoch [94][800/1281] lr: 7.747e-03, eta: 8:24:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1743, loss: 0.1743 +2023-12-23 21:25:51,585 - pyskl - INFO - Epoch [94][900/1281] lr: 7.728e-03, eta: 8:24:10, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.2129, loss: 0.2129 +2023-12-23 21:26:34,275 - pyskl - INFO - Epoch [94][1000/1281] lr: 7.709e-03, eta: 8:23:29, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1727, loss: 0.1727 +2023-12-23 21:27:16,855 - pyskl - INFO - Epoch [94][1100/1281] lr: 7.690e-03, eta: 8:22:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.1674, loss: 0.1674 +2023-12-23 21:27:56,918 - pyskl - INFO - Epoch [94][1200/1281] lr: 7.672e-03, eta: 8:22:04, time: 0.401, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.1976, loss: 0.1976 +2023-12-23 21:28:17,141 - pyskl - INFO - Saving checkpoint at 94 epochs +2023-12-23 21:29:09,625 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 21:29:09,680 - pyskl - INFO - +top1_acc 0.8978 +top5_acc 0.9927 +2023-12-23 21:29:09,680 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 21:29:09,687 - pyskl - INFO - +mean_acc 0.8623 +2023-12-23 21:29:09,688 - pyskl - INFO - Epoch(val) [94][533] top1_acc: 0.8978, top5_acc: 0.9927, mean_class_accuracy: 0.8623 +2023-12-23 21:30:09,871 - pyskl - INFO - Epoch [95][100/1281] lr: 7.637e-03, eta: 8:20:39, time: 0.602, data_time: 0.177, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2042, loss: 0.2042 +2023-12-23 21:30:52,462 - pyskl - INFO - Epoch [95][200/1281] lr: 7.619e-03, eta: 8:19:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1699, loss: 0.1699 +2023-12-23 21:31:35,058 - pyskl - INFO - Epoch [95][300/1281] lr: 7.600e-03, eta: 8:19:16, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 0.1756, loss: 0.1756 +2023-12-23 21:32:17,607 - pyskl - INFO - Epoch [95][400/1281] lr: 7.581e-03, eta: 8:18:34, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1593, loss: 0.1593 +2023-12-23 21:33:00,196 - pyskl - INFO - Epoch [95][500/1281] lr: 7.562e-03, eta: 8:17:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1415, loss: 0.1415 +2023-12-23 21:33:42,832 - pyskl - INFO - Epoch [95][600/1281] lr: 7.543e-03, eta: 8:17:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 0.2169, loss: 0.2169 +2023-12-23 21:34:25,494 - pyskl - INFO - Epoch [95][700/1281] lr: 7.525e-03, eta: 8:16:29, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.1977, loss: 0.1977 +2023-12-23 21:35:08,158 - pyskl - INFO - Epoch [95][800/1281] lr: 7.506e-03, eta: 8:15:48, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.1841, loss: 0.1841 +2023-12-23 21:35:50,795 - pyskl - INFO - Epoch [95][900/1281] lr: 7.487e-03, eta: 8:15:06, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1422, loss: 0.1422 +2023-12-23 21:36:33,413 - pyskl - INFO - Epoch [95][1000/1281] lr: 7.468e-03, eta: 8:14:25, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.1807, loss: 0.1807 +2023-12-23 21:37:16,104 - pyskl - INFO - Epoch [95][1100/1281] lr: 7.450e-03, eta: 8:13:43, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1714, loss: 0.1714 +2023-12-23 21:37:56,386 - pyskl - INFO - Epoch [95][1200/1281] lr: 7.431e-03, eta: 8:13:00, time: 0.403, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1623, loss: 0.1623 +2023-12-23 21:38:16,219 - pyskl - INFO - Saving checkpoint at 95 epochs +2023-12-23 21:39:08,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 21:39:08,601 - pyskl - INFO - +top1_acc 0.9007 +top5_acc 0.9942 +2023-12-23 21:39:08,601 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 21:39:08,612 - pyskl - INFO - +mean_acc 0.8651 +2023-12-23 21:39:08,616 - pyskl - INFO - Epoch(val) [95][533] top1_acc: 0.9007, top5_acc: 0.9942, mean_class_accuracy: 0.8651 +2023-12-23 21:40:08,445 - pyskl - INFO - Epoch [96][100/1281] lr: 7.397e-03, eta: 8:11:35, time: 0.598, data_time: 0.174, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1681, loss: 0.1681 +2023-12-23 21:40:51,079 - pyskl - INFO - Epoch [96][200/1281] lr: 7.379e-03, eta: 8:10:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1386, loss: 0.1386 +2023-12-23 21:41:33,616 - pyskl - INFO - Epoch [96][300/1281] lr: 7.360e-03, eta: 8:10:12, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1257, loss: 0.1257 +2023-12-23 21:42:16,137 - pyskl - INFO - Epoch [96][400/1281] lr: 7.341e-03, eta: 8:09:31, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1287, loss: 0.1287 +2023-12-23 21:42:58,763 - pyskl - INFO - Epoch [96][500/1281] lr: 7.323e-03, eta: 8:08:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1300, loss: 0.1300 +2023-12-23 21:43:41,339 - pyskl - INFO - Epoch [96][600/1281] lr: 7.304e-03, eta: 8:08:07, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1716, loss: 0.1716 +2023-12-23 21:44:23,902 - pyskl - INFO - Epoch [96][700/1281] lr: 7.286e-03, eta: 8:07:26, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.1784, loss: 0.1784 +2023-12-23 21:45:06,545 - pyskl - INFO - Epoch [96][800/1281] lr: 7.267e-03, eta: 8:06:44, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.1822, loss: 0.1822 +2023-12-23 21:45:49,124 - pyskl - INFO - Epoch [96][900/1281] lr: 7.249e-03, eta: 8:06:03, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.1776, loss: 0.1776 +2023-12-23 21:46:31,724 - pyskl - INFO - Epoch [96][1000/1281] lr: 7.230e-03, eta: 8:05:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.1745, loss: 0.1745 +2023-12-23 21:47:14,383 - pyskl - INFO - Epoch [96][1100/1281] lr: 7.211e-03, eta: 8:04:40, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.1782, loss: 0.1782 +2023-12-23 21:47:55,217 - pyskl - INFO - Epoch [96][1200/1281] lr: 7.193e-03, eta: 8:03:57, time: 0.408, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.1964, loss: 0.1964 +2023-12-23 21:48:14,312 - pyskl - INFO - Saving checkpoint at 96 epochs +2023-12-23 21:49:07,405 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 21:49:07,464 - pyskl - INFO - +top1_acc 0.9144 +top5_acc 0.9944 +2023-12-23 21:49:07,464 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 21:49:07,472 - pyskl - INFO - +mean_acc 0.8810 +2023-12-23 21:49:07,476 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_91.pth was removed +2023-12-23 21:49:07,660 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_96.pth. +2023-12-23 21:49:07,660 - pyskl - INFO - Best top1_acc is 0.9144 at 96 epoch. +2023-12-23 21:49:07,663 - pyskl - INFO - Epoch(val) [96][533] top1_acc: 0.9144, top5_acc: 0.9944, mean_class_accuracy: 0.8810 +2023-12-23 21:50:08,027 - pyskl - INFO - Epoch [97][100/1281] lr: 7.159e-03, eta: 8:02:33, time: 0.604, data_time: 0.172, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1554, loss: 0.1554 +2023-12-23 21:50:51,445 - pyskl - INFO - Epoch [97][200/1281] lr: 7.141e-03, eta: 8:01:52, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1564, loss: 0.1564 +2023-12-23 21:51:34,878 - pyskl - INFO - Epoch [97][300/1281] lr: 7.123e-03, eta: 8:01:10, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1582, loss: 0.1582 +2023-12-23 21:52:18,429 - pyskl - INFO - Epoch [97][400/1281] lr: 7.104e-03, eta: 8:00:29, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1408, loss: 0.1408 +2023-12-23 21:53:01,850 - pyskl - INFO - Epoch [97][500/1281] lr: 7.086e-03, eta: 7:59:48, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1615, loss: 0.1615 +2023-12-23 21:53:45,231 - pyskl - INFO - Epoch [97][600/1281] lr: 7.067e-03, eta: 7:59:07, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1148, loss: 0.1148 +2023-12-23 21:54:28,646 - pyskl - INFO - Epoch [97][700/1281] lr: 7.049e-03, eta: 7:58:26, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1348, loss: 0.1348 +2023-12-23 21:55:12,025 - pyskl - INFO - Epoch [97][800/1281] lr: 7.030e-03, eta: 7:57:45, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1492, loss: 0.1492 +2023-12-23 21:55:55,391 - pyskl - INFO - Epoch [97][900/1281] lr: 7.012e-03, eta: 7:57:04, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1517, loss: 0.1517 +2023-12-23 21:56:38,751 - pyskl - INFO - Epoch [97][1000/1281] lr: 6.994e-03, eta: 7:56:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1558, loss: 0.1558 +2023-12-23 21:57:22,260 - pyskl - INFO - Epoch [97][1100/1281] lr: 6.975e-03, eta: 7:55:42, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.1880, loss: 0.1880 +2023-12-23 21:58:04,797 - pyskl - INFO - Epoch [97][1200/1281] lr: 6.957e-03, eta: 7:55:00, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.1947, loss: 0.1947 +2023-12-23 21:58:23,390 - pyskl - INFO - Saving checkpoint at 97 epochs +2023-12-23 21:59:17,101 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 21:59:17,160 - pyskl - INFO - +top1_acc 0.9088 +top5_acc 0.9932 +2023-12-23 21:59:17,160 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 21:59:17,168 - pyskl - INFO - +mean_acc 0.8696 +2023-12-23 21:59:17,170 - pyskl - INFO - Epoch(val) [97][533] top1_acc: 0.9088, top5_acc: 0.9932, mean_class_accuracy: 0.8696 +2023-12-23 22:00:17,294 - pyskl - INFO - Epoch [98][100/1281] lr: 6.924e-03, eta: 7:53:36, time: 0.601, data_time: 0.176, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1248, loss: 0.1248 +2023-12-23 22:00:59,848 - pyskl - INFO - Epoch [98][200/1281] lr: 6.906e-03, eta: 7:52:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1484, loss: 0.1484 +2023-12-23 22:01:42,452 - pyskl - INFO - Epoch [98][300/1281] lr: 6.887e-03, eta: 7:52:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1197, loss: 0.1197 +2023-12-23 22:02:25,063 - pyskl - INFO - Epoch [98][400/1281] lr: 6.869e-03, eta: 7:51:31, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1321, loss: 0.1321 +2023-12-23 22:03:07,700 - pyskl - INFO - Epoch [98][500/1281] lr: 6.851e-03, eta: 7:50:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1556, loss: 0.1556 +2023-12-23 22:03:50,362 - pyskl - INFO - Epoch [98][600/1281] lr: 6.833e-03, eta: 7:50:08, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.1734, loss: 0.1734 +2023-12-23 22:04:32,932 - pyskl - INFO - Epoch [98][700/1281] lr: 6.814e-03, eta: 7:49:26, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1101, loss: 0.1101 +2023-12-23 22:05:15,531 - pyskl - INFO - Epoch [98][800/1281] lr: 6.796e-03, eta: 7:48:45, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1653, loss: 0.1653 +2023-12-23 22:05:58,125 - pyskl - INFO - Epoch [98][900/1281] lr: 6.778e-03, eta: 7:48:03, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.1814, loss: 0.1814 +2023-12-23 22:06:40,684 - pyskl - INFO - Epoch [98][1000/1281] lr: 6.760e-03, eta: 7:47:22, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1736, loss: 0.1736 +2023-12-23 22:07:23,407 - pyskl - INFO - Epoch [98][1100/1281] lr: 6.742e-03, eta: 7:46:40, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1710, loss: 0.1710 +2023-12-23 22:08:04,900 - pyskl - INFO - Epoch [98][1200/1281] lr: 6.724e-03, eta: 7:45:58, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1529, loss: 0.1529 +2023-12-23 22:08:23,166 - pyskl - INFO - Saving checkpoint at 98 epochs +2023-12-23 22:09:17,211 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 22:09:17,266 - pyskl - INFO - +top1_acc 0.9089 +top5_acc 0.9930 +2023-12-23 22:09:17,267 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 22:09:17,274 - pyskl - INFO - +mean_acc 0.8767 +2023-12-23 22:09:17,277 - pyskl - INFO - Epoch(val) [98][533] top1_acc: 0.9089, top5_acc: 0.9930, mean_class_accuracy: 0.8767 +2023-12-23 22:10:17,588 - pyskl - INFO - Epoch [99][100/1281] lr: 6.691e-03, eta: 7:44:34, time: 0.603, data_time: 0.176, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1428, loss: 0.1428 +2023-12-23 22:11:00,192 - pyskl - INFO - Epoch [99][200/1281] lr: 6.673e-03, eta: 7:43:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1435, loss: 0.1435 +2023-12-23 22:11:42,828 - pyskl - INFO - Epoch [99][300/1281] lr: 6.655e-03, eta: 7:43:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1274, loss: 0.1274 +2023-12-23 22:12:25,473 - pyskl - INFO - Epoch [99][400/1281] lr: 6.637e-03, eta: 7:42:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1259, loss: 0.1259 +2023-12-23 22:13:08,106 - pyskl - INFO - Epoch [99][500/1281] lr: 6.619e-03, eta: 7:41:48, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1081, loss: 0.1081 +2023-12-23 22:13:50,731 - pyskl - INFO - Epoch [99][600/1281] lr: 6.601e-03, eta: 7:41:06, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1219, loss: 0.1219 +2023-12-23 22:14:33,399 - pyskl - INFO - Epoch [99][700/1281] lr: 6.583e-03, eta: 7:40:25, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1428, loss: 0.1428 +2023-12-23 22:15:16,082 - pyskl - INFO - Epoch [99][800/1281] lr: 6.565e-03, eta: 7:39:43, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1569, loss: 0.1569 +2023-12-23 22:15:58,653 - pyskl - INFO - Epoch [99][900/1281] lr: 6.547e-03, eta: 7:39:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1489, loss: 0.1489 +2023-12-23 22:16:41,259 - pyskl - INFO - Epoch [99][1000/1281] lr: 6.529e-03, eta: 7:38:20, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1390, loss: 0.1390 +2023-12-23 22:17:23,920 - pyskl - INFO - Epoch [99][1100/1281] lr: 6.511e-03, eta: 7:37:39, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1551, loss: 0.1551 +2023-12-23 22:18:05,820 - pyskl - INFO - Epoch [99][1200/1281] lr: 6.493e-03, eta: 7:36:57, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1464, loss: 0.1464 +2023-12-23 22:18:23,809 - pyskl - INFO - Saving checkpoint at 99 epochs +2023-12-23 22:19:18,087 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 22:19:18,156 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9942 +2023-12-23 22:19:18,156 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 22:19:18,165 - pyskl - INFO - +mean_acc 0.8925 +2023-12-23 22:19:18,169 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_96.pth was removed +2023-12-23 22:19:18,357 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. +2023-12-23 22:19:18,357 - pyskl - INFO - Best top1_acc is 0.9175 at 99 epoch. +2023-12-23 22:19:18,360 - pyskl - INFO - Epoch(val) [99][533] top1_acc: 0.9175, top5_acc: 0.9942, mean_class_accuracy: 0.8925 +2023-12-23 22:20:18,932 - pyskl - INFO - Epoch [100][100/1281] lr: 6.460e-03, eta: 7:35:33, time: 0.606, data_time: 0.179, memory: 4120, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1278, loss: 0.1278 +2023-12-23 22:21:01,669 - pyskl - INFO - Epoch [100][200/1281] lr: 6.442e-03, eta: 7:34:51, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1112, loss: 0.1112 +2023-12-23 22:21:44,267 - pyskl - INFO - Epoch [100][300/1281] lr: 6.425e-03, eta: 7:34:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1198, loss: 0.1198 +2023-12-23 22:22:26,923 - pyskl - INFO - Epoch [100][400/1281] lr: 6.407e-03, eta: 7:33:28, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1125, loss: 0.1125 +2023-12-23 22:23:09,613 - pyskl - INFO - Epoch [100][500/1281] lr: 6.389e-03, eta: 7:32:47, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1336, loss: 0.1336 +2023-12-23 22:23:52,201 - pyskl - INFO - Epoch [100][600/1281] lr: 6.371e-03, eta: 7:32:05, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1282, loss: 0.1282 +2023-12-23 22:24:34,754 - pyskl - INFO - Epoch [100][700/1281] lr: 6.353e-03, eta: 7:31:24, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1360, loss: 0.1360 +2023-12-23 22:25:17,404 - pyskl - INFO - Epoch [100][800/1281] lr: 6.336e-03, eta: 7:30:42, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1360, loss: 0.1360 +2023-12-23 22:25:59,996 - pyskl - INFO - Epoch [100][900/1281] lr: 6.318e-03, eta: 7:30:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1618, loss: 0.1618 +2023-12-23 22:26:42,634 - pyskl - INFO - Epoch [100][1000/1281] lr: 6.300e-03, eta: 7:29:19, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.1928, loss: 0.1928 +2023-12-23 22:27:25,332 - pyskl - INFO - Epoch [100][1100/1281] lr: 6.282e-03, eta: 7:28:38, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1616, loss: 0.1616 +2023-12-23 22:28:07,347 - pyskl - INFO - Epoch [100][1200/1281] lr: 6.265e-03, eta: 7:27:56, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.1618, loss: 0.1618 +2023-12-23 22:28:25,905 - pyskl - INFO - Saving checkpoint at 100 epochs +2023-12-23 22:29:19,725 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 22:29:19,791 - pyskl - INFO - +top1_acc 0.9090 +top5_acc 0.9928 +2023-12-23 22:29:19,791 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 22:29:19,801 - pyskl - INFO - +mean_acc 0.8769 +2023-12-23 22:29:19,804 - pyskl - INFO - Epoch(val) [100][533] top1_acc: 0.9090, top5_acc: 0.9928, mean_class_accuracy: 0.8769 +2023-12-23 22:30:19,631 - pyskl - INFO - Epoch [101][100/1281] lr: 6.232e-03, eta: 7:26:32, time: 0.598, data_time: 0.172, memory: 4120, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1253, loss: 0.1253 +2023-12-23 22:31:02,242 - pyskl - INFO - Epoch [101][200/1281] lr: 6.215e-03, eta: 7:25:50, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1135, loss: 0.1135 +2023-12-23 22:31:44,788 - pyskl - INFO - Epoch [101][300/1281] lr: 6.197e-03, eta: 7:25:09, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1407, loss: 0.1407 +2023-12-23 22:32:27,463 - pyskl - INFO - Epoch [101][400/1281] lr: 6.180e-03, eta: 7:24:27, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1424, loss: 0.1424 +2023-12-23 22:33:10,125 - pyskl - INFO - Epoch [101][500/1281] lr: 6.162e-03, eta: 7:23:46, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1334, loss: 0.1334 +2023-12-23 22:33:52,754 - pyskl - INFO - Epoch [101][600/1281] lr: 6.144e-03, eta: 7:23:04, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1487, loss: 0.1487 +2023-12-23 22:34:35,330 - pyskl - INFO - Epoch [101][700/1281] lr: 6.127e-03, eta: 7:22:23, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1061, loss: 0.1061 +2023-12-23 22:35:17,981 - pyskl - INFO - Epoch [101][800/1281] lr: 6.109e-03, eta: 7:21:41, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0977, loss: 0.0977 +2023-12-23 22:36:00,575 - pyskl - INFO - Epoch [101][900/1281] lr: 6.092e-03, eta: 7:21:00, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1330, loss: 0.1330 +2023-12-23 22:36:43,106 - pyskl - INFO - Epoch [101][1000/1281] lr: 6.074e-03, eta: 7:20:18, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1698, loss: 0.1698 +2023-12-23 22:37:25,762 - pyskl - INFO - Epoch [101][1100/1281] lr: 6.057e-03, eta: 7:19:36, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1340, loss: 0.1340 +2023-12-23 22:38:08,118 - pyskl - INFO - Epoch [101][1200/1281] lr: 6.039e-03, eta: 7:18:55, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1206, loss: 0.1206 +2023-12-23 22:38:26,558 - pyskl - INFO - Saving checkpoint at 101 epochs +2023-12-23 22:39:20,697 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 22:39:20,751 - pyskl - INFO - +top1_acc 0.9258 +top5_acc 0.9944 +2023-12-23 22:39:20,752 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 22:39:20,758 - pyskl - INFO - +mean_acc 0.8960 +2023-12-23 22:39:20,762 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_99.pth was removed +2023-12-23 22:39:20,986 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. +2023-12-23 22:39:20,986 - pyskl - INFO - Best top1_acc is 0.9258 at 101 epoch. +2023-12-23 22:39:20,989 - pyskl - INFO - Epoch(val) [101][533] top1_acc: 0.9258, top5_acc: 0.9944, mean_class_accuracy: 0.8960 +2023-12-23 22:40:21,092 - pyskl - INFO - Epoch [102][100/1281] lr: 6.007e-03, eta: 7:17:31, time: 0.601, data_time: 0.175, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.0948, loss: 0.0948 +2023-12-23 22:41:03,733 - pyskl - INFO - Epoch [102][200/1281] lr: 5.990e-03, eta: 7:16:50, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1124, loss: 0.1124 +2023-12-23 22:41:46,310 - pyskl - INFO - Epoch [102][300/1281] lr: 5.972e-03, eta: 7:16:08, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0965, loss: 0.0965 +2023-12-23 22:42:28,991 - pyskl - INFO - Epoch [102][400/1281] lr: 5.955e-03, eta: 7:15:27, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1248, loss: 0.1248 +2023-12-23 22:43:11,603 - pyskl - INFO - Epoch [102][500/1281] lr: 5.938e-03, eta: 7:14:45, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1263, loss: 0.1263 +2023-12-23 22:43:54,234 - pyskl - INFO - Epoch [102][600/1281] lr: 5.920e-03, eta: 7:14:04, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1052, loss: 0.1052 +2023-12-23 22:44:36,792 - pyskl - INFO - Epoch [102][700/1281] lr: 5.903e-03, eta: 7:13:22, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1173, loss: 0.1173 +2023-12-23 22:45:19,395 - pyskl - INFO - Epoch [102][800/1281] lr: 5.886e-03, eta: 7:12:40, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1416, loss: 0.1416 +2023-12-23 22:46:01,991 - pyskl - INFO - Epoch [102][900/1281] lr: 5.868e-03, eta: 7:11:59, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1276, loss: 0.1276 +2023-12-23 22:46:44,665 - pyskl - INFO - Epoch [102][1000/1281] lr: 5.851e-03, eta: 7:11:17, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1327, loss: 0.1327 +2023-12-23 22:47:27,310 - pyskl - INFO - Epoch [102][1100/1281] lr: 5.834e-03, eta: 7:10:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1458, loss: 0.1458 +2023-12-23 22:48:09,015 - pyskl - INFO - Epoch [102][1200/1281] lr: 5.816e-03, eta: 7:09:54, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1357, loss: 0.1357 +2023-12-23 22:48:27,155 - pyskl - INFO - Saving checkpoint at 102 epochs +2023-12-23 22:49:21,589 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 22:49:21,643 - pyskl - INFO - +top1_acc 0.9159 +top5_acc 0.9937 +2023-12-23 22:49:21,643 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 22:49:21,649 - pyskl - INFO - +mean_acc 0.8858 +2023-12-23 22:49:21,651 - pyskl - INFO - Epoch(val) [102][533] top1_acc: 0.9159, top5_acc: 0.9937, mean_class_accuracy: 0.8858 +2023-12-23 22:50:21,615 - pyskl - INFO - Epoch [103][100/1281] lr: 5.785e-03, eta: 7:08:31, time: 0.600, data_time: 0.174, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1069, loss: 0.1069 +2023-12-23 22:51:04,197 - pyskl - INFO - Epoch [103][200/1281] lr: 5.768e-03, eta: 7:07:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1013, loss: 0.1013 +2023-12-23 22:51:46,869 - pyskl - INFO - Epoch [103][300/1281] lr: 5.751e-03, eta: 7:07:07, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1052, loss: 0.1052 +2023-12-23 22:52:29,426 - pyskl - INFO - Epoch [103][400/1281] lr: 5.733e-03, eta: 7:06:26, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1159, loss: 0.1159 +2023-12-23 22:53:12,090 - pyskl - INFO - Epoch [103][500/1281] lr: 5.716e-03, eta: 7:05:44, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1027, loss: 0.1027 +2023-12-23 22:53:54,680 - pyskl - INFO - Epoch [103][600/1281] lr: 5.699e-03, eta: 7:05:03, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1397, loss: 0.1397 +2023-12-23 22:54:37,357 - pyskl - INFO - Epoch [103][700/1281] lr: 5.682e-03, eta: 7:04:21, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1261, loss: 0.1261 +2023-12-23 22:55:20,010 - pyskl - INFO - Epoch [103][800/1281] lr: 5.665e-03, eta: 7:03:40, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1327, loss: 0.1327 +2023-12-23 22:56:02,622 - pyskl - INFO - Epoch [103][900/1281] lr: 5.648e-03, eta: 7:02:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1221, loss: 0.1221 +2023-12-23 22:56:45,227 - pyskl - INFO - Epoch [103][1000/1281] lr: 5.631e-03, eta: 7:02:17, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0824, loss: 0.0824 +2023-12-23 22:57:27,914 - pyskl - INFO - Epoch [103][1100/1281] lr: 5.614e-03, eta: 7:01:35, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1042, loss: 0.1042 +2023-12-23 22:58:10,583 - pyskl - INFO - Epoch [103][1200/1281] lr: 5.597e-03, eta: 7:00:54, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1642, loss: 0.1642 +2023-12-23 22:58:28,320 - pyskl - INFO - Saving checkpoint at 103 epochs +2023-12-23 22:59:23,645 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 22:59:23,701 - pyskl - INFO - +top1_acc 0.9121 +top5_acc 0.9951 +2023-12-23 22:59:23,702 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 22:59:23,709 - pyskl - INFO - +mean_acc 0.8901 +2023-12-23 22:59:23,712 - pyskl - INFO - Epoch(val) [103][533] top1_acc: 0.9121, top5_acc: 0.9951, mean_class_accuracy: 0.8901 +2023-12-23 23:00:24,443 - pyskl - INFO - Epoch [104][100/1281] lr: 5.566e-03, eta: 6:59:31, time: 0.607, data_time: 0.174, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1079, loss: 0.1079 +2023-12-23 23:01:07,868 - pyskl - INFO - Epoch [104][200/1281] lr: 5.549e-03, eta: 6:58:50, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1133, loss: 0.1133 +2023-12-23 23:01:51,228 - pyskl - INFO - Epoch [104][300/1281] lr: 5.532e-03, eta: 6:58:09, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1279, loss: 0.1279 +2023-12-23 23:02:34,649 - pyskl - INFO - Epoch [104][400/1281] lr: 5.515e-03, eta: 6:57:27, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1280, loss: 0.1280 +2023-12-23 23:03:18,103 - pyskl - INFO - Epoch [104][500/1281] lr: 5.498e-03, eta: 6:56:46, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1179, loss: 0.1179 +2023-12-23 23:04:01,494 - pyskl - INFO - Epoch [104][600/1281] lr: 5.481e-03, eta: 6:56:05, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1217, loss: 0.1217 +2023-12-23 23:04:44,903 - pyskl - INFO - Epoch [104][700/1281] lr: 5.464e-03, eta: 6:55:24, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1166, loss: 0.1166 +2023-12-23 23:05:28,345 - pyskl - INFO - Epoch [104][800/1281] lr: 5.447e-03, eta: 6:54:43, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1139, loss: 0.1139 +2023-12-23 23:06:11,783 - pyskl - INFO - Epoch [104][900/1281] lr: 5.430e-03, eta: 6:54:01, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1093, loss: 0.1093 +2023-12-23 23:06:55,114 - pyskl - INFO - Epoch [104][1000/1281] lr: 5.413e-03, eta: 6:53:20, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1365, loss: 0.1365 +2023-12-23 23:07:38,536 - pyskl - INFO - Epoch [104][1100/1281] lr: 5.397e-03, eta: 6:52:39, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1228, loss: 0.1228 +2023-12-23 23:08:21,924 - pyskl - INFO - Epoch [104][1200/1281] lr: 5.380e-03, eta: 6:51:58, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1631, loss: 0.1631 +2023-12-23 23:08:40,089 - pyskl - INFO - Saving checkpoint at 104 epochs +2023-12-23 23:09:36,086 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 23:09:36,140 - pyskl - INFO - +top1_acc 0.9144 +top5_acc 0.9948 +2023-12-23 23:09:36,140 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 23:09:36,147 - pyskl - INFO - +mean_acc 0.8895 +2023-12-23 23:09:36,149 - pyskl - INFO - Epoch(val) [104][533] top1_acc: 0.9144, top5_acc: 0.9948, mean_class_accuracy: 0.8895 +2023-12-23 23:10:37,127 - pyskl - INFO - Epoch [105][100/1281] lr: 5.349e-03, eta: 6:50:35, time: 0.610, data_time: 0.175, memory: 4120, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1113, loss: 0.1113 +2023-12-23 23:11:20,537 - pyskl - INFO - Epoch [105][200/1281] lr: 5.333e-03, eta: 6:49:54, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1268, loss: 0.1268 +2023-12-23 23:12:03,949 - pyskl - INFO - Epoch [105][300/1281] lr: 5.316e-03, eta: 6:49:13, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1049, loss: 0.1049 +2023-12-23 23:12:47,294 - pyskl - INFO - Epoch [105][400/1281] lr: 5.299e-03, eta: 6:48:32, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0948, loss: 0.0948 +2023-12-23 23:13:30,718 - pyskl - INFO - Epoch [105][500/1281] lr: 5.283e-03, eta: 6:47:50, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0828, loss: 0.0828 +2023-12-23 23:14:14,105 - pyskl - INFO - Epoch [105][600/1281] lr: 5.266e-03, eta: 6:47:09, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.0944, loss: 0.0944 +2023-12-23 23:14:57,463 - pyskl - INFO - Epoch [105][700/1281] lr: 5.249e-03, eta: 6:46:28, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1022, loss: 0.1022 +2023-12-23 23:15:40,833 - pyskl - INFO - Epoch [105][800/1281] lr: 5.233e-03, eta: 6:45:47, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1042, loss: 0.1042 +2023-12-23 23:16:24,258 - pyskl - INFO - Epoch [105][900/1281] lr: 5.216e-03, eta: 6:45:06, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1151, loss: 0.1151 +2023-12-23 23:17:07,705 - pyskl - INFO - Epoch [105][1000/1281] lr: 5.199e-03, eta: 6:44:24, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1402, loss: 0.1402 +2023-12-23 23:17:51,047 - pyskl - INFO - Epoch [105][1100/1281] lr: 5.183e-03, eta: 6:43:43, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0894, loss: 0.0894 +2023-12-23 23:18:34,445 - pyskl - INFO - Epoch [105][1200/1281] lr: 5.166e-03, eta: 6:43:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1225, loss: 0.1225 +2023-12-23 23:18:52,326 - pyskl - INFO - Saving checkpoint at 105 epochs +2023-12-23 23:19:47,434 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 23:19:47,490 - pyskl - INFO - +top1_acc 0.9035 +top5_acc 0.9944 +2023-12-23 23:19:47,490 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 23:19:47,496 - pyskl - INFO - +mean_acc 0.8766 +2023-12-23 23:19:47,498 - pyskl - INFO - Epoch(val) [105][533] top1_acc: 0.9035, top5_acc: 0.9944, mean_class_accuracy: 0.8766 +2023-12-23 23:20:47,338 - pyskl - INFO - Epoch [106][100/1281] lr: 5.136e-03, eta: 6:41:39, time: 0.598, data_time: 0.173, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1110, loss: 0.1110 +2023-12-23 23:21:29,941 - pyskl - INFO - Epoch [106][200/1281] lr: 5.120e-03, eta: 6:40:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1088, loss: 0.1088 +2023-12-23 23:22:12,556 - pyskl - INFO - Epoch [106][300/1281] lr: 5.103e-03, eta: 6:40:16, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1296, loss: 0.1296 +2023-12-23 23:22:55,108 - pyskl - INFO - Epoch [106][400/1281] lr: 5.087e-03, eta: 6:39:34, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1145, loss: 0.1145 +2023-12-23 23:23:37,707 - pyskl - INFO - Epoch [106][500/1281] lr: 5.070e-03, eta: 6:38:53, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1028, loss: 0.1028 +2023-12-23 23:24:20,317 - pyskl - INFO - Epoch [106][600/1281] lr: 5.054e-03, eta: 6:38:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1066, loss: 0.1066 +2023-12-23 23:25:02,884 - pyskl - INFO - Epoch [106][700/1281] lr: 5.038e-03, eta: 6:37:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1247, loss: 0.1247 +2023-12-23 23:25:45,492 - pyskl - INFO - Epoch [106][800/1281] lr: 5.021e-03, eta: 6:36:48, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1127, loss: 0.1127 +2023-12-23 23:26:28,115 - pyskl - INFO - Epoch [106][900/1281] lr: 5.005e-03, eta: 6:36:07, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1229, loss: 0.1229 +2023-12-23 23:27:10,663 - pyskl - INFO - Epoch [106][1000/1281] lr: 4.988e-03, eta: 6:35:25, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1130, loss: 0.1130 +2023-12-23 23:27:53,226 - pyskl - INFO - Epoch [106][1100/1281] lr: 4.972e-03, eta: 6:34:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1324, loss: 0.1324 +2023-12-23 23:28:35,862 - pyskl - INFO - Epoch [106][1200/1281] lr: 4.956e-03, eta: 6:34:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1086, loss: 0.1086 +2023-12-23 23:28:54,537 - pyskl - INFO - Saving checkpoint at 106 epochs +2023-12-23 23:29:50,825 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 23:29:50,882 - pyskl - INFO - +top1_acc 0.9144 +top5_acc 0.9937 +2023-12-23 23:29:50,882 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 23:29:50,889 - pyskl - INFO - +mean_acc 0.8922 +2023-12-23 23:29:50,892 - pyskl - INFO - Epoch(val) [106][533] top1_acc: 0.9144, top5_acc: 0.9937, mean_class_accuracy: 0.8922 +2023-12-23 23:30:50,765 - pyskl - INFO - Epoch [107][100/1281] lr: 4.926e-03, eta: 6:32:39, time: 0.599, data_time: 0.173, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0899, loss: 0.0899 +2023-12-23 23:31:33,344 - pyskl - INFO - Epoch [107][200/1281] lr: 4.910e-03, eta: 6:31:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1153, loss: 0.1153 +2023-12-23 23:32:15,882 - pyskl - INFO - Epoch [107][300/1281] lr: 4.894e-03, eta: 6:31:16, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1218, loss: 0.1218 +2023-12-23 23:32:58,426 - pyskl - INFO - Epoch [107][400/1281] lr: 4.878e-03, eta: 6:30:35, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0871, loss: 0.0871 +2023-12-23 23:33:41,037 - pyskl - INFO - Epoch [107][500/1281] lr: 4.862e-03, eta: 6:29:53, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0942, loss: 0.0942 +2023-12-23 23:34:23,515 - pyskl - INFO - Epoch [107][600/1281] lr: 4.845e-03, eta: 6:29:11, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1437, loss: 0.1437 +2023-12-23 23:35:06,145 - pyskl - INFO - Epoch [107][700/1281] lr: 4.829e-03, eta: 6:28:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.1518, loss: 0.1518 +2023-12-23 23:35:48,750 - pyskl - INFO - Epoch [107][800/1281] lr: 4.813e-03, eta: 6:27:48, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1260, loss: 0.1260 +2023-12-23 23:36:31,291 - pyskl - INFO - Epoch [107][900/1281] lr: 4.797e-03, eta: 6:27:07, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1335, loss: 0.1335 +2023-12-23 23:37:13,900 - pyskl - INFO - Epoch [107][1000/1281] lr: 4.781e-03, eta: 6:26:25, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1022, loss: 0.1022 +2023-12-23 23:37:56,493 - pyskl - INFO - Epoch [107][1100/1281] lr: 4.765e-03, eta: 6:25:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1055, loss: 0.1055 +2023-12-23 23:38:39,095 - pyskl - INFO - Epoch [107][1200/1281] lr: 4.749e-03, eta: 6:25:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1040, loss: 0.1040 +2023-12-23 23:38:57,988 - pyskl - INFO - Saving checkpoint at 107 epochs +2023-12-23 23:39:54,229 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 23:39:54,284 - pyskl - INFO - +top1_acc 0.9190 +top5_acc 0.9947 +2023-12-23 23:39:54,284 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 23:39:54,291 - pyskl - INFO - +mean_acc 0.8876 +2023-12-23 23:39:54,293 - pyskl - INFO - Epoch(val) [107][533] top1_acc: 0.9190, top5_acc: 0.9947, mean_class_accuracy: 0.8876 +2023-12-23 23:40:54,376 - pyskl - INFO - Epoch [108][100/1281] lr: 4.720e-03, eta: 6:23:40, time: 0.601, data_time: 0.174, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0907, loss: 0.0907 +2023-12-23 23:41:37,023 - pyskl - INFO - Epoch [108][200/1281] lr: 4.704e-03, eta: 6:22:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1003, loss: 0.1003 +2023-12-23 23:42:19,583 - pyskl - INFO - Epoch [108][300/1281] lr: 4.688e-03, eta: 6:22:17, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0769, loss: 0.0769 +2023-12-23 23:43:02,194 - pyskl - INFO - Epoch [108][400/1281] lr: 4.672e-03, eta: 6:21:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0849, loss: 0.0849 +2023-12-23 23:43:44,776 - pyskl - INFO - Epoch [108][500/1281] lr: 4.656e-03, eta: 6:20:53, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0718, loss: 0.0718 +2023-12-23 23:44:27,373 - pyskl - INFO - Epoch [108][600/1281] lr: 4.640e-03, eta: 6:20:12, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1057, loss: 0.1057 +2023-12-23 23:45:10,116 - pyskl - INFO - Epoch [108][700/1281] lr: 4.624e-03, eta: 6:19:30, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0741, loss: 0.0741 +2023-12-23 23:45:52,690 - pyskl - INFO - Epoch [108][800/1281] lr: 4.608e-03, eta: 6:18:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0829, loss: 0.0829 +2023-12-23 23:46:35,320 - pyskl - INFO - Epoch [108][900/1281] lr: 4.593e-03, eta: 6:18:07, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.0995, loss: 0.0995 +2023-12-23 23:47:17,950 - pyskl - INFO - Epoch [108][1000/1281] lr: 4.577e-03, eta: 6:17:26, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1076, loss: 0.1076 +2023-12-23 23:48:00,562 - pyskl - INFO - Epoch [108][1100/1281] lr: 4.561e-03, eta: 6:16:44, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0913, loss: 0.0913 +2023-12-23 23:48:43,286 - pyskl - INFO - Epoch [108][1200/1281] lr: 4.545e-03, eta: 6:16:02, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0813, loss: 0.0813 +2023-12-23 23:49:02,237 - pyskl - INFO - Saving checkpoint at 108 epochs +2023-12-23 23:49:58,681 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-23 23:49:58,751 - pyskl - INFO - +top1_acc 0.9220 +top5_acc 0.9959 +2023-12-23 23:49:58,751 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-23 23:49:58,759 - pyskl - INFO - +mean_acc 0.8973 +2023-12-23 23:49:58,761 - pyskl - INFO - Epoch(val) [108][533] top1_acc: 0.9220, top5_acc: 0.9959, mean_class_accuracy: 0.8973 +2023-12-23 23:50:59,653 - pyskl - INFO - Epoch [109][100/1281] lr: 4.517e-03, eta: 6:14:41, time: 0.609, data_time: 0.177, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0892, loss: 0.0892 +2023-12-23 23:51:42,999 - pyskl - INFO - Epoch [109][200/1281] lr: 4.501e-03, eta: 6:14:00, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0714, loss: 0.0714 +2023-12-23 23:52:26,394 - pyskl - INFO - Epoch [109][300/1281] lr: 4.485e-03, eta: 6:13:18, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0886, loss: 0.0886 +2023-12-23 23:53:09,778 - pyskl - INFO - Epoch [109][400/1281] lr: 4.470e-03, eta: 6:12:37, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0625, loss: 0.0625 +2023-12-23 23:53:53,076 - pyskl - INFO - Epoch [109][500/1281] lr: 4.454e-03, eta: 6:11:56, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0814, loss: 0.0814 +2023-12-23 23:54:36,509 - pyskl - INFO - Epoch [109][600/1281] lr: 4.438e-03, eta: 6:11:14, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0727, loss: 0.0727 +2023-12-23 23:55:19,940 - pyskl - INFO - Epoch [109][700/1281] lr: 4.423e-03, eta: 6:10:33, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0759, loss: 0.0759 +2023-12-23 23:56:03,338 - pyskl - INFO - Epoch [109][800/1281] lr: 4.407e-03, eta: 6:09:52, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1004, loss: 0.1004 +2023-12-23 23:56:46,753 - pyskl - INFO - Epoch [109][900/1281] lr: 4.391e-03, eta: 6:09:11, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0993, loss: 0.0993 +2023-12-23 23:57:30,166 - pyskl - INFO - Epoch [109][1000/1281] lr: 4.376e-03, eta: 6:08:29, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.0988, loss: 0.0988 +2023-12-23 23:58:13,644 - pyskl - INFO - Epoch [109][1100/1281] lr: 4.360e-03, eta: 6:07:48, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0958, loss: 0.0958 +2023-12-23 23:58:57,042 - pyskl - INFO - Epoch [109][1200/1281] lr: 4.345e-03, eta: 6:07:07, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1089, loss: 0.1089 +2023-12-23 23:59:16,229 - pyskl - INFO - Saving checkpoint at 109 epochs +2023-12-24 00:00:13,631 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 00:00:13,698 - pyskl - INFO - +top1_acc 0.9252 +top5_acc 0.9944 +2023-12-24 00:00:13,698 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 00:00:13,705 - pyskl - INFO - +mean_acc 0.9042 +2023-12-24 00:00:13,707 - pyskl - INFO - Epoch(val) [109][533] top1_acc: 0.9252, top5_acc: 0.9944, mean_class_accuracy: 0.9042 +2023-12-24 00:01:14,312 - pyskl - INFO - Epoch [110][100/1281] lr: 4.317e-03, eta: 6:05:45, time: 0.606, data_time: 0.171, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0753, loss: 0.0753 +2023-12-24 00:01:57,735 - pyskl - INFO - Epoch [110][200/1281] lr: 4.301e-03, eta: 6:05:04, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0731, loss: 0.0731 +2023-12-24 00:02:41,141 - pyskl - INFO - Epoch [110][300/1281] lr: 4.286e-03, eta: 6:04:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0843, loss: 0.0843 +2023-12-24 00:03:24,504 - pyskl - INFO - Epoch [110][400/1281] lr: 4.271e-03, eta: 6:03:41, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0966, loss: 0.0966 +2023-12-24 00:04:07,921 - pyskl - INFO - Epoch [110][500/1281] lr: 4.255e-03, eta: 6:03:00, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0842, loss: 0.0842 +2023-12-24 00:04:51,311 - pyskl - INFO - Epoch [110][600/1281] lr: 4.240e-03, eta: 6:02:19, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0734, loss: 0.0734 +2023-12-24 00:05:34,709 - pyskl - INFO - Epoch [110][700/1281] lr: 4.225e-03, eta: 6:01:37, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1024, loss: 0.1024 +2023-12-24 00:06:18,118 - pyskl - INFO - Epoch [110][800/1281] lr: 4.209e-03, eta: 6:00:56, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0826, loss: 0.0826 +2023-12-24 00:07:01,546 - pyskl - INFO - Epoch [110][900/1281] lr: 4.194e-03, eta: 6:00:15, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0807, loss: 0.0807 +2023-12-24 00:07:45,011 - pyskl - INFO - Epoch [110][1000/1281] lr: 4.179e-03, eta: 5:59:34, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0937, loss: 0.0937 +2023-12-24 00:08:28,431 - pyskl - INFO - Epoch [110][1100/1281] lr: 4.164e-03, eta: 5:58:52, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1106, loss: 0.1106 +2023-12-24 00:09:11,856 - pyskl - INFO - Epoch [110][1200/1281] lr: 4.148e-03, eta: 5:58:11, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1125, loss: 0.1125 +2023-12-24 00:09:31,629 - pyskl - INFO - Saving checkpoint at 110 epochs +2023-12-24 00:10:29,427 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 00:10:29,545 - pyskl - INFO - +top1_acc 0.9200 +top5_acc 0.9940 +2023-12-24 00:10:29,546 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 00:10:29,555 - pyskl - INFO - +mean_acc 0.8925 +2023-12-24 00:10:29,559 - pyskl - INFO - Epoch(val) [110][533] top1_acc: 0.9200, top5_acc: 0.9940, mean_class_accuracy: 0.8925 +2023-12-24 00:11:29,492 - pyskl - INFO - Epoch [111][100/1281] lr: 4.121e-03, eta: 5:56:49, time: 0.599, data_time: 0.174, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0901, loss: 0.0901 +2023-12-24 00:12:12,122 - pyskl - INFO - Epoch [111][200/1281] lr: 4.106e-03, eta: 5:56:08, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0755, loss: 0.0755 +2023-12-24 00:12:54,842 - pyskl - INFO - Epoch [111][300/1281] lr: 4.091e-03, eta: 5:55:26, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1148, loss: 0.1148 +2023-12-24 00:13:37,436 - pyskl - INFO - Epoch [111][400/1281] lr: 4.075e-03, eta: 5:54:45, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0740, loss: 0.0740 +2023-12-24 00:14:20,051 - pyskl - INFO - Epoch [111][500/1281] lr: 4.060e-03, eta: 5:54:03, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0918, loss: 0.0918 +2023-12-24 00:15:02,654 - pyskl - INFO - Epoch [111][600/1281] lr: 4.045e-03, eta: 5:53:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0836, loss: 0.0836 +2023-12-24 00:15:45,267 - pyskl - INFO - Epoch [111][700/1281] lr: 4.030e-03, eta: 5:52:40, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0703, loss: 0.0703 +2023-12-24 00:16:27,858 - pyskl - INFO - Epoch [111][800/1281] lr: 4.015e-03, eta: 5:51:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0779, loss: 0.0779 +2023-12-24 00:17:10,513 - pyskl - INFO - Epoch [111][900/1281] lr: 4.000e-03, eta: 5:51:17, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0923, loss: 0.0923 +2023-12-24 00:17:53,150 - pyskl - INFO - Epoch [111][1000/1281] lr: 3.985e-03, eta: 5:50:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1024, loss: 0.1024 +2023-12-24 00:18:35,881 - pyskl - INFO - Epoch [111][1100/1281] lr: 3.970e-03, eta: 5:49:53, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0884, loss: 0.0884 +2023-12-24 00:19:19,281 - pyskl - INFO - Epoch [111][1200/1281] lr: 3.955e-03, eta: 5:49:12, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0871, loss: 0.0871 +2023-12-24 00:19:39,577 - pyskl - INFO - Saving checkpoint at 111 epochs +2023-12-24 00:20:38,436 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 00:20:38,497 - pyskl - INFO - +top1_acc 0.9291 +top5_acc 0.9957 +2023-12-24 00:20:38,498 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 00:20:38,510 - pyskl - INFO - +mean_acc 0.9069 +2023-12-24 00:20:38,517 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_101.pth was removed +2023-12-24 00:20:38,728 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2023-12-24 00:20:38,728 - pyskl - INFO - Best top1_acc is 0.9291 at 111 epoch. +2023-12-24 00:20:38,731 - pyskl - INFO - Epoch(val) [111][533] top1_acc: 0.9291, top5_acc: 0.9957, mean_class_accuracy: 0.9069 +2023-12-24 00:21:40,018 - pyskl - INFO - Epoch [112][100/1281] lr: 3.928e-03, eta: 5:47:51, time: 0.613, data_time: 0.179, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0855, loss: 0.0855 +2023-12-24 00:22:23,405 - pyskl - INFO - Epoch [112][200/1281] lr: 3.914e-03, eta: 5:47:10, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0708, loss: 0.0708 +2023-12-24 00:23:06,768 - pyskl - INFO - Epoch [112][300/1281] lr: 3.899e-03, eta: 5:46:29, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0735, loss: 0.0735 +2023-12-24 00:23:50,201 - pyskl - INFO - Epoch [112][400/1281] lr: 3.884e-03, eta: 5:45:47, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0735, loss: 0.0735 +2023-12-24 00:24:33,562 - pyskl - INFO - Epoch [112][500/1281] lr: 3.869e-03, eta: 5:45:06, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0744, loss: 0.0744 +2023-12-24 00:25:16,924 - pyskl - INFO - Epoch [112][600/1281] lr: 3.854e-03, eta: 5:44:25, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0891, loss: 0.0891 +2023-12-24 00:26:00,279 - pyskl - INFO - Epoch [112][700/1281] lr: 3.840e-03, eta: 5:43:43, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0918, loss: 0.0918 +2023-12-24 00:26:43,679 - pyskl - INFO - Epoch [112][800/1281] lr: 3.825e-03, eta: 5:43:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0763, loss: 0.0763 +2023-12-24 00:27:27,104 - pyskl - INFO - Epoch [112][900/1281] lr: 3.810e-03, eta: 5:42:21, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0753, loss: 0.0753 +2023-12-24 00:28:10,543 - pyskl - INFO - Epoch [112][1000/1281] lr: 3.795e-03, eta: 5:41:39, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1018, loss: 0.1018 +2023-12-24 00:28:54,023 - pyskl - INFO - Epoch [112][1100/1281] lr: 3.781e-03, eta: 5:40:58, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0978, loss: 0.0978 +2023-12-24 00:29:37,448 - pyskl - INFO - Epoch [112][1200/1281] lr: 3.766e-03, eta: 5:40:17, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1149, loss: 0.1149 +2023-12-24 00:29:58,122 - pyskl - INFO - Saving checkpoint at 112 epochs +2023-12-24 00:30:56,920 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 00:30:56,984 - pyskl - INFO - +top1_acc 0.9228 +top5_acc 0.9957 +2023-12-24 00:30:56,984 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 00:30:56,993 - pyskl - INFO - +mean_acc 0.8967 +2023-12-24 00:30:56,995 - pyskl - INFO - Epoch(val) [112][533] top1_acc: 0.9228, top5_acc: 0.9957, mean_class_accuracy: 0.8967 +2023-12-24 00:31:57,011 - pyskl - INFO - Epoch [113][100/1281] lr: 3.740e-03, eta: 5:38:55, time: 0.600, data_time: 0.173, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0733, loss: 0.0733 +2023-12-24 00:32:39,623 - pyskl - INFO - Epoch [113][200/1281] lr: 3.725e-03, eta: 5:38:14, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0647, loss: 0.0647 +2023-12-24 00:33:22,216 - pyskl - INFO - Epoch [113][300/1281] lr: 3.711e-03, eta: 5:37:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0603, loss: 0.0603 +2023-12-24 00:34:04,786 - pyskl - INFO - Epoch [113][400/1281] lr: 3.696e-03, eta: 5:36:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0717, loss: 0.0717 +2023-12-24 00:34:47,368 - pyskl - INFO - Epoch [113][500/1281] lr: 3.682e-03, eta: 5:36:09, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0689, loss: 0.0689 +2023-12-24 00:35:30,021 - pyskl - INFO - Epoch [113][600/1281] lr: 3.667e-03, eta: 5:35:27, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0667, loss: 0.0667 +2023-12-24 00:36:12,686 - pyskl - INFO - Epoch [113][700/1281] lr: 3.653e-03, eta: 5:34:46, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0739, loss: 0.0739 +2023-12-24 00:36:55,214 - pyskl - INFO - Epoch [113][800/1281] lr: 3.638e-03, eta: 5:34:04, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0725, loss: 0.0725 +2023-12-24 00:37:37,855 - pyskl - INFO - Epoch [113][900/1281] lr: 3.624e-03, eta: 5:33:22, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0650, loss: 0.0650 +2023-12-24 00:38:20,512 - pyskl - INFO - Epoch [113][1000/1281] lr: 3.610e-03, eta: 5:32:41, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0689, loss: 0.0689 +2023-12-24 00:39:03,901 - pyskl - INFO - Epoch [113][1100/1281] lr: 3.595e-03, eta: 5:31:59, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0566, loss: 0.0566 +2023-12-24 00:39:47,270 - pyskl - INFO - Epoch [113][1200/1281] lr: 3.581e-03, eta: 5:31:18, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0612, loss: 0.0612 +2023-12-24 00:40:08,529 - pyskl - INFO - Saving checkpoint at 113 epochs +2023-12-24 00:41:08,190 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 00:41:08,260 - pyskl - INFO - +top1_acc 0.9275 +top5_acc 0.9952 +2023-12-24 00:41:08,260 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 00:41:08,267 - pyskl - INFO - +mean_acc 0.9037 +2023-12-24 00:41:08,269 - pyskl - INFO - Epoch(val) [113][533] top1_acc: 0.9275, top5_acc: 0.9952, mean_class_accuracy: 0.9037 +2023-12-24 00:42:09,041 - pyskl - INFO - Epoch [114][100/1281] lr: 3.555e-03, eta: 5:29:57, time: 0.608, data_time: 0.174, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0554, loss: 0.0554 +2023-12-24 00:42:52,433 - pyskl - INFO - Epoch [114][200/1281] lr: 3.541e-03, eta: 5:29:16, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0670, loss: 0.0670 +2023-12-24 00:43:35,875 - pyskl - INFO - Epoch [114][300/1281] lr: 3.526e-03, eta: 5:28:35, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0527, loss: 0.0527 +2023-12-24 00:44:19,295 - pyskl - INFO - Epoch [114][400/1281] lr: 3.512e-03, eta: 5:27:53, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0596, loss: 0.0596 +2023-12-24 00:45:02,668 - pyskl - INFO - Epoch [114][500/1281] lr: 3.498e-03, eta: 5:27:12, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0650, loss: 0.0650 +2023-12-24 00:45:46,087 - pyskl - INFO - Epoch [114][600/1281] lr: 3.484e-03, eta: 5:26:31, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0579, loss: 0.0579 +2023-12-24 00:46:29,503 - pyskl - INFO - Epoch [114][700/1281] lr: 3.470e-03, eta: 5:25:49, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0711, loss: 0.0711 +2023-12-24 00:47:12,924 - pyskl - INFO - Epoch [114][800/1281] lr: 3.456e-03, eta: 5:25:08, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0514, loss: 0.0514 +2023-12-24 00:47:56,360 - pyskl - INFO - Epoch [114][900/1281] lr: 3.442e-03, eta: 5:24:27, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0628, loss: 0.0628 +2023-12-24 00:48:39,782 - pyskl - INFO - Epoch [114][1000/1281] lr: 3.427e-03, eta: 5:23:45, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0561, loss: 0.0561 +2023-12-24 00:49:23,122 - pyskl - INFO - Epoch [114][1100/1281] lr: 3.413e-03, eta: 5:23:04, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0657, loss: 0.0657 +2023-12-24 00:50:06,500 - pyskl - INFO - Epoch [114][1200/1281] lr: 3.399e-03, eta: 5:22:22, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0661, loss: 0.0661 +2023-12-24 00:50:28,213 - pyskl - INFO - Saving checkpoint at 114 epochs +2023-12-24 00:51:28,359 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 00:51:28,415 - pyskl - INFO - +top1_acc 0.9308 +top5_acc 0.9954 +2023-12-24 00:51:28,415 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 00:51:28,422 - pyskl - INFO - +mean_acc 0.9018 +2023-12-24 00:51:28,426 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_111.pth was removed +2023-12-24 00:51:28,623 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2023-12-24 00:51:28,623 - pyskl - INFO - Best top1_acc is 0.9308 at 114 epoch. +2023-12-24 00:51:28,627 - pyskl - INFO - Epoch(val) [114][533] top1_acc: 0.9308, top5_acc: 0.9954, mean_class_accuracy: 0.9018 +2023-12-24 00:52:28,488 - pyskl - INFO - Epoch [115][100/1281] lr: 3.374e-03, eta: 5:21:02, time: 0.599, data_time: 0.173, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0644, loss: 0.0644 +2023-12-24 00:53:11,088 - pyskl - INFO - Epoch [115][200/1281] lr: 3.360e-03, eta: 5:20:20, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0622, loss: 0.0622 +2023-12-24 00:53:53,564 - pyskl - INFO - Epoch [115][300/1281] lr: 3.346e-03, eta: 5:19:38, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0558, loss: 0.0558 +2023-12-24 00:54:36,183 - pyskl - INFO - Epoch [115][400/1281] lr: 3.332e-03, eta: 5:18:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0578, loss: 0.0578 +2023-12-24 00:55:18,795 - pyskl - INFO - Epoch [115][500/1281] lr: 3.318e-03, eta: 5:18:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0548, loss: 0.0548 +2023-12-24 00:56:01,407 - pyskl - INFO - Epoch [115][600/1281] lr: 3.305e-03, eta: 5:17:33, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0620, loss: 0.0620 +2023-12-24 00:56:43,943 - pyskl - INFO - Epoch [115][700/1281] lr: 3.291e-03, eta: 5:16:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0745, loss: 0.0745 +2023-12-24 00:57:26,548 - pyskl - INFO - Epoch [115][800/1281] lr: 3.277e-03, eta: 5:16:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0526, loss: 0.0526 +2023-12-24 00:58:09,176 - pyskl - INFO - Epoch [115][900/1281] lr: 3.263e-03, eta: 5:15:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0772, loss: 0.0772 +2023-12-24 00:58:51,752 - pyskl - INFO - Epoch [115][1000/1281] lr: 3.249e-03, eta: 5:14:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0725, loss: 0.0725 +2023-12-24 00:59:34,315 - pyskl - INFO - Epoch [115][1100/1281] lr: 3.236e-03, eta: 5:14:05, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0621, loss: 0.0621 +2023-12-24 01:00:16,818 - pyskl - INFO - Epoch [115][1200/1281] lr: 3.222e-03, eta: 5:13:24, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0696, loss: 0.0696 +2023-12-24 01:00:37,798 - pyskl - INFO - Saving checkpoint at 115 epochs +2023-12-24 01:01:37,053 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 01:01:37,108 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9954 +2023-12-24 01:01:37,108 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 01:01:37,114 - pyskl - INFO - +mean_acc 0.8931 +2023-12-24 01:01:37,116 - pyskl - INFO - Epoch(val) [115][533] top1_acc: 0.9271, top5_acc: 0.9954, mean_class_accuracy: 0.8931 +2023-12-24 01:02:37,055 - pyskl - INFO - Epoch [116][100/1281] lr: 3.197e-03, eta: 5:12:03, time: 0.599, data_time: 0.174, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0660, loss: 0.0660 +2023-12-24 01:03:19,620 - pyskl - INFO - Epoch [116][200/1281] lr: 3.184e-03, eta: 5:11:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0495, loss: 0.0495 +2023-12-24 01:04:02,178 - pyskl - INFO - Epoch [116][300/1281] lr: 3.170e-03, eta: 5:10:40, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0478, loss: 0.0478 +2023-12-24 01:04:44,773 - pyskl - INFO - Epoch [116][400/1281] lr: 3.156e-03, eta: 5:09:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0596, loss: 0.0596 +2023-12-24 01:05:27,364 - pyskl - INFO - Epoch [116][500/1281] lr: 3.143e-03, eta: 5:09:16, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0512, loss: 0.0512 +2023-12-24 01:06:09,943 - pyskl - INFO - Epoch [116][600/1281] lr: 3.129e-03, eta: 5:08:35, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0536, loss: 0.0536 +2023-12-24 01:06:52,509 - pyskl - INFO - Epoch [116][700/1281] lr: 3.116e-03, eta: 5:07:53, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0502, loss: 0.0502 +2023-12-24 01:07:35,132 - pyskl - INFO - Epoch [116][800/1281] lr: 3.102e-03, eta: 5:07:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0578, loss: 0.0578 +2023-12-24 01:08:17,721 - pyskl - INFO - Epoch [116][900/1281] lr: 3.089e-03, eta: 5:06:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0609, loss: 0.0609 +2023-12-24 01:09:00,408 - pyskl - INFO - Epoch [116][1000/1281] lr: 3.075e-03, eta: 5:05:48, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0844, loss: 0.0844 +2023-12-24 01:09:42,961 - pyskl - INFO - Epoch [116][1100/1281] lr: 3.062e-03, eta: 5:05:07, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0704, loss: 0.0704 +2023-12-24 01:10:25,547 - pyskl - INFO - Epoch [116][1200/1281] lr: 3.049e-03, eta: 5:04:25, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0625, loss: 0.0625 +2023-12-24 01:10:47,698 - pyskl - INFO - Saving checkpoint at 116 epochs +2023-12-24 01:11:48,681 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 01:11:48,734 - pyskl - INFO - +top1_acc 0.9329 +top5_acc 0.9961 +2023-12-24 01:11:48,735 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 01:11:48,740 - pyskl - INFO - +mean_acc 0.9114 +2023-12-24 01:11:48,744 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_114.pth was removed +2023-12-24 01:11:48,914 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2023-12-24 01:11:48,914 - pyskl - INFO - Best top1_acc is 0.9329 at 116 epoch. +2023-12-24 01:11:48,917 - pyskl - INFO - Epoch(val) [116][533] top1_acc: 0.9329, top5_acc: 0.9961, mean_class_accuracy: 0.9114 +2023-12-24 01:12:48,935 - pyskl - INFO - Epoch [117][100/1281] lr: 3.024e-03, eta: 5:03:05, time: 0.600, data_time: 0.174, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0513, loss: 0.0513 +2023-12-24 01:13:31,573 - pyskl - INFO - Epoch [117][200/1281] lr: 3.011e-03, eta: 5:02:23, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0463, loss: 0.0463 +2023-12-24 01:14:14,093 - pyskl - INFO - Epoch [117][300/1281] lr: 2.998e-03, eta: 5:01:41, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0550, loss: 0.0550 +2023-12-24 01:14:56,623 - pyskl - INFO - Epoch [117][400/1281] lr: 2.984e-03, eta: 5:01:00, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0437, loss: 0.0437 +2023-12-24 01:15:39,186 - pyskl - INFO - Epoch [117][500/1281] lr: 2.971e-03, eta: 5:00:18, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0486, loss: 0.0486 +2023-12-24 01:16:21,771 - pyskl - INFO - Epoch [117][600/1281] lr: 2.958e-03, eta: 4:59:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0466, loss: 0.0466 +2023-12-24 01:17:04,366 - pyskl - INFO - Epoch [117][700/1281] lr: 2.945e-03, eta: 4:58:55, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 +2023-12-24 01:17:47,013 - pyskl - INFO - Epoch [117][800/1281] lr: 2.932e-03, eta: 4:58:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 +2023-12-24 01:18:29,638 - pyskl - INFO - Epoch [117][900/1281] lr: 2.919e-03, eta: 4:57:31, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2023-12-24 01:19:12,229 - pyskl - INFO - Epoch [117][1000/1281] lr: 2.905e-03, eta: 4:56:50, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0433, loss: 0.0433 +2023-12-24 01:19:54,769 - pyskl - INFO - Epoch [117][1100/1281] lr: 2.892e-03, eta: 4:56:08, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0683, loss: 0.0683 +2023-12-24 01:20:37,292 - pyskl - INFO - Epoch [117][1200/1281] lr: 2.879e-03, eta: 4:55:26, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 +2023-12-24 01:21:00,025 - pyskl - INFO - Saving checkpoint at 117 epochs +2023-12-24 01:22:01,305 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 01:22:01,367 - pyskl - INFO - +top1_acc 0.9292 +top5_acc 0.9959 +2023-12-24 01:22:01,367 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 01:22:01,375 - pyskl - INFO - +mean_acc 0.9091 +2023-12-24 01:22:01,378 - pyskl - INFO - Epoch(val) [117][533] top1_acc: 0.9292, top5_acc: 0.9959, mean_class_accuracy: 0.9091 +2023-12-24 01:23:01,975 - pyskl - INFO - Epoch [118][100/1281] lr: 2.856e-03, eta: 4:54:06, time: 0.606, data_time: 0.172, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0433, loss: 0.0433 +2023-12-24 01:23:45,338 - pyskl - INFO - Epoch [118][200/1281] lr: 2.843e-03, eta: 4:53:25, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0451, loss: 0.0451 +2023-12-24 01:24:28,825 - pyskl - INFO - Epoch [118][300/1281] lr: 2.830e-03, eta: 4:52:44, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 +2023-12-24 01:25:12,243 - pyskl - INFO - Epoch [118][400/1281] lr: 2.817e-03, eta: 4:52:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0373, loss: 0.0373 +2023-12-24 01:25:55,702 - pyskl - INFO - Epoch [118][500/1281] lr: 2.804e-03, eta: 4:51:21, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 +2023-12-24 01:26:39,160 - pyskl - INFO - Epoch [118][600/1281] lr: 2.791e-03, eta: 4:50:39, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0423, loss: 0.0423 +2023-12-24 01:27:22,613 - pyskl - INFO - Epoch [118][700/1281] lr: 2.778e-03, eta: 4:49:58, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0469, loss: 0.0469 +2023-12-24 01:28:06,079 - pyskl - INFO - Epoch [118][800/1281] lr: 2.765e-03, eta: 4:49:17, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0443, loss: 0.0443 +2023-12-24 01:28:49,441 - pyskl - INFO - Epoch [118][900/1281] lr: 2.753e-03, eta: 4:48:35, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0553, loss: 0.0553 +2023-12-24 01:29:32,848 - pyskl - INFO - Epoch [118][1000/1281] lr: 2.740e-03, eta: 4:47:54, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 +2023-12-24 01:30:16,192 - pyskl - INFO - Epoch [118][1100/1281] lr: 2.727e-03, eta: 4:47:12, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0465, loss: 0.0465 +2023-12-24 01:30:59,597 - pyskl - INFO - Epoch [118][1200/1281] lr: 2.714e-03, eta: 4:46:31, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0544, loss: 0.0544 +2023-12-24 01:31:22,821 - pyskl - INFO - Saving checkpoint at 118 epochs +2023-12-24 01:32:25,041 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 01:32:25,105 - pyskl - INFO - +top1_acc 0.9313 +top5_acc 0.9958 +2023-12-24 01:32:25,105 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 01:32:25,115 - pyskl - INFO - +mean_acc 0.9035 +2023-12-24 01:32:25,118 - pyskl - INFO - Epoch(val) [118][533] top1_acc: 0.9313, top5_acc: 0.9958, mean_class_accuracy: 0.9035 +2023-12-24 01:33:26,369 - pyskl - INFO - Epoch [119][100/1281] lr: 2.691e-03, eta: 4:45:11, time: 0.612, data_time: 0.178, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0417, loss: 0.0417 +2023-12-24 01:34:09,729 - pyskl - INFO - Epoch [119][200/1281] lr: 2.679e-03, eta: 4:44:30, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0496, loss: 0.0496 +2023-12-24 01:34:53,064 - pyskl - INFO - Epoch [119][300/1281] lr: 2.666e-03, eta: 4:43:48, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0491, loss: 0.0491 +2023-12-24 01:35:36,542 - pyskl - INFO - Epoch [119][400/1281] lr: 2.653e-03, eta: 4:43:07, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0428, loss: 0.0428 +2023-12-24 01:36:19,925 - pyskl - INFO - Epoch [119][500/1281] lr: 2.641e-03, eta: 4:42:25, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0516, loss: 0.0516 +2023-12-24 01:37:03,374 - pyskl - INFO - Epoch [119][600/1281] lr: 2.628e-03, eta: 4:41:44, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0471, loss: 0.0471 +2023-12-24 01:37:46,844 - pyskl - INFO - Epoch [119][700/1281] lr: 2.616e-03, eta: 4:41:03, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 +2023-12-24 01:38:30,291 - pyskl - INFO - Epoch [119][800/1281] lr: 2.603e-03, eta: 4:40:21, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 +2023-12-24 01:39:13,693 - pyskl - INFO - Epoch [119][900/1281] lr: 2.591e-03, eta: 4:39:40, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 +2023-12-24 01:39:57,083 - pyskl - INFO - Epoch [119][1000/1281] lr: 2.578e-03, eta: 4:38:58, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0439, loss: 0.0439 +2023-12-24 01:40:40,480 - pyskl - INFO - Epoch [119][1100/1281] lr: 2.566e-03, eta: 4:38:17, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0449, loss: 0.0449 +2023-12-24 01:41:23,835 - pyskl - INFO - Epoch [119][1200/1281] lr: 2.554e-03, eta: 4:37:35, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0483, loss: 0.0483 +2023-12-24 01:41:48,431 - pyskl - INFO - Saving checkpoint at 119 epochs +2023-12-24 01:42:51,811 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 01:42:51,874 - pyskl - INFO - +top1_acc 0.9288 +top5_acc 0.9953 +2023-12-24 01:42:51,874 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 01:42:51,885 - pyskl - INFO - +mean_acc 0.9051 +2023-12-24 01:42:51,888 - pyskl - INFO - Epoch(val) [119][533] top1_acc: 0.9288, top5_acc: 0.9953, mean_class_accuracy: 0.9051 +2023-12-24 01:43:52,531 - pyskl - INFO - Epoch [120][100/1281] lr: 2.531e-03, eta: 4:36:16, time: 0.606, data_time: 0.181, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0556, loss: 0.0556 +2023-12-24 01:44:35,154 - pyskl - INFO - Epoch [120][200/1281] lr: 2.519e-03, eta: 4:35:34, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0487, loss: 0.0487 +2023-12-24 01:45:17,733 - pyskl - INFO - Epoch [120][300/1281] lr: 2.507e-03, eta: 4:34:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0493, loss: 0.0493 +2023-12-24 01:46:00,264 - pyskl - INFO - Epoch [120][400/1281] lr: 2.494e-03, eta: 4:34:11, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0428, loss: 0.0428 +2023-12-24 01:46:42,898 - pyskl - INFO - Epoch [120][500/1281] lr: 2.482e-03, eta: 4:33:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 +2023-12-24 01:47:25,475 - pyskl - INFO - Epoch [120][600/1281] lr: 2.470e-03, eta: 4:32:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0440, loss: 0.0440 +2023-12-24 01:48:07,985 - pyskl - INFO - Epoch [120][700/1281] lr: 2.458e-03, eta: 4:32:06, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 +2023-12-24 01:48:50,476 - pyskl - INFO - Epoch [120][800/1281] lr: 2.446e-03, eta: 4:31:24, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0467, loss: 0.0467 +2023-12-24 01:49:33,049 - pyskl - INFO - Epoch [120][900/1281] lr: 2.433e-03, eta: 4:30:42, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0482, loss: 0.0482 +2023-12-24 01:50:15,624 - pyskl - INFO - Epoch [120][1000/1281] lr: 2.421e-03, eta: 4:30:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0476, loss: 0.0476 +2023-12-24 01:50:58,234 - pyskl - INFO - Epoch [120][1100/1281] lr: 2.409e-03, eta: 4:29:19, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0501, loss: 0.0501 +2023-12-24 01:51:40,742 - pyskl - INFO - Epoch [120][1200/1281] lr: 2.397e-03, eta: 4:28:37, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0570, loss: 0.0570 +2023-12-24 01:52:04,921 - pyskl - INFO - Saving checkpoint at 120 epochs +2023-12-24 01:53:07,915 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 01:53:07,970 - pyskl - INFO - +top1_acc 0.9309 +top5_acc 0.9954 +2023-12-24 01:53:07,970 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 01:53:07,977 - pyskl - INFO - +mean_acc 0.9066 +2023-12-24 01:53:07,979 - pyskl - INFO - Epoch(val) [120][533] top1_acc: 0.9309, top5_acc: 0.9954, mean_class_accuracy: 0.9066 +2023-12-24 01:54:08,611 - pyskl - INFO - Epoch [121][100/1281] lr: 2.375e-03, eta: 4:27:18, time: 0.606, data_time: 0.172, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0469, loss: 0.0469 +2023-12-24 01:54:52,052 - pyskl - INFO - Epoch [121][200/1281] lr: 2.363e-03, eta: 4:26:36, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0483, loss: 0.0483 +2023-12-24 01:55:35,450 - pyskl - INFO - Epoch [121][300/1281] lr: 2.351e-03, eta: 4:25:55, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0482, loss: 0.0482 +2023-12-24 01:56:18,915 - pyskl - INFO - Epoch [121][400/1281] lr: 2.340e-03, eta: 4:25:13, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 +2023-12-24 01:57:02,429 - pyskl - INFO - Epoch [121][500/1281] lr: 2.328e-03, eta: 4:24:32, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 +2023-12-24 01:57:45,882 - pyskl - INFO - Epoch [121][600/1281] lr: 2.316e-03, eta: 4:23:51, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0437, loss: 0.0437 +2023-12-24 01:58:29,334 - pyskl - INFO - Epoch [121][700/1281] lr: 2.304e-03, eta: 4:23:09, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 +2023-12-24 01:59:12,709 - pyskl - INFO - Epoch [121][800/1281] lr: 2.292e-03, eta: 4:22:28, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 +2023-12-24 01:59:56,071 - pyskl - INFO - Epoch [121][900/1281] lr: 2.280e-03, eta: 4:21:46, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 +2023-12-24 02:00:39,424 - pyskl - INFO - Epoch [121][1000/1281] lr: 2.269e-03, eta: 4:21:05, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0472, loss: 0.0472 +2023-12-24 02:01:22,851 - pyskl - INFO - Epoch [121][1100/1281] lr: 2.257e-03, eta: 4:20:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0459, loss: 0.0459 +2023-12-24 02:02:06,216 - pyskl - INFO - Epoch [121][1200/1281] lr: 2.245e-03, eta: 4:19:42, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0562, loss: 0.0562 +2023-12-24 02:02:31,328 - pyskl - INFO - Saving checkpoint at 121 epochs +2023-12-24 02:03:35,320 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 02:03:35,390 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9953 +2023-12-24 02:03:35,390 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 02:03:35,401 - pyskl - INFO - +mean_acc 0.9020 +2023-12-24 02:03:35,405 - pyskl - INFO - Epoch(val) [121][533] top1_acc: 0.9271, top5_acc: 0.9953, mean_class_accuracy: 0.9020 +2023-12-24 02:04:35,387 - pyskl - INFO - Epoch [122][100/1281] lr: 2.224e-03, eta: 4:18:22, time: 0.600, data_time: 0.174, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0457, loss: 0.0457 +2023-12-24 02:05:17,924 - pyskl - INFO - Epoch [122][200/1281] lr: 2.212e-03, eta: 4:17:40, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 +2023-12-24 02:06:00,571 - pyskl - INFO - Epoch [122][300/1281] lr: 2.201e-03, eta: 4:16:59, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2023-12-24 02:06:43,303 - pyskl - INFO - Epoch [122][400/1281] lr: 2.189e-03, eta: 4:16:17, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0439, loss: 0.0439 +2023-12-24 02:07:25,940 - pyskl - INFO - Epoch [122][500/1281] lr: 2.178e-03, eta: 4:15:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2023-12-24 02:08:08,518 - pyskl - INFO - Epoch [122][600/1281] lr: 2.166e-03, eta: 4:14:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0443, loss: 0.0443 +2023-12-24 02:08:51,183 - pyskl - INFO - Epoch [122][700/1281] lr: 2.155e-03, eta: 4:14:12, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 +2023-12-24 02:09:33,766 - pyskl - INFO - Epoch [122][800/1281] lr: 2.143e-03, eta: 4:13:31, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 +2023-12-24 02:10:16,346 - pyskl - INFO - Epoch [122][900/1281] lr: 2.132e-03, eta: 4:12:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 +2023-12-24 02:10:58,989 - pyskl - INFO - Epoch [122][1000/1281] lr: 2.120e-03, eta: 4:12:07, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 +2023-12-24 02:11:41,594 - pyskl - INFO - Epoch [122][1100/1281] lr: 2.109e-03, eta: 4:11:26, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 +2023-12-24 02:12:24,208 - pyskl - INFO - Epoch [122][1200/1281] lr: 2.098e-03, eta: 4:10:44, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 +2023-12-24 02:12:49,688 - pyskl - INFO - Saving checkpoint at 122 epochs +2023-12-24 02:13:54,773 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 02:13:54,842 - pyskl - INFO - +top1_acc 0.9374 +top5_acc 0.9954 +2023-12-24 02:13:54,843 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 02:13:54,851 - pyskl - INFO - +mean_acc 0.9133 +2023-12-24 02:13:54,856 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_116.pth was removed +2023-12-24 02:13:55,055 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2023-12-24 02:13:55,055 - pyskl - INFO - Best top1_acc is 0.9374 at 122 epoch. +2023-12-24 02:13:55,058 - pyskl - INFO - Epoch(val) [122][533] top1_acc: 0.9374, top5_acc: 0.9954, mean_class_accuracy: 0.9133 +2023-12-24 02:14:55,434 - pyskl - INFO - Epoch [123][100/1281] lr: 2.077e-03, eta: 4:09:25, time: 0.604, data_time: 0.171, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0434, loss: 0.0434 +2023-12-24 02:15:38,851 - pyskl - INFO - Epoch [123][200/1281] lr: 2.066e-03, eta: 4:08:43, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0509, loss: 0.0509 +2023-12-24 02:16:22,231 - pyskl - INFO - Epoch [123][300/1281] lr: 2.055e-03, eta: 4:08:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0424, loss: 0.0424 +2023-12-24 02:17:05,681 - pyskl - INFO - Epoch [123][400/1281] lr: 2.044e-03, eta: 4:07:20, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2023-12-24 02:17:49,185 - pyskl - INFO - Epoch [123][500/1281] lr: 2.032e-03, eta: 4:06:39, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2023-12-24 02:18:32,599 - pyskl - INFO - Epoch [123][600/1281] lr: 2.021e-03, eta: 4:05:57, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 +2023-12-24 02:19:15,984 - pyskl - INFO - Epoch [123][700/1281] lr: 2.010e-03, eta: 4:05:16, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2023-12-24 02:19:59,395 - pyskl - INFO - Epoch [123][800/1281] lr: 1.999e-03, eta: 4:04:34, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 +2023-12-24 02:20:42,827 - pyskl - INFO - Epoch [123][900/1281] lr: 1.988e-03, eta: 4:03:53, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2023-12-24 02:21:26,198 - pyskl - INFO - Epoch [123][1000/1281] lr: 1.977e-03, eta: 4:03:11, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0451, loss: 0.0451 +2023-12-24 02:22:09,613 - pyskl - INFO - Epoch [123][1100/1281] lr: 1.966e-03, eta: 4:02:30, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 +2023-12-24 02:22:53,005 - pyskl - INFO - Epoch [123][1200/1281] lr: 1.955e-03, eta: 4:01:48, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 +2023-12-24 02:23:19,387 - pyskl - INFO - Saving checkpoint at 123 epochs +2023-12-24 02:24:25,105 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 02:24:25,158 - pyskl - INFO - +top1_acc 0.9339 +top5_acc 0.9971 +2023-12-24 02:24:25,159 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 02:24:25,164 - pyskl - INFO - +mean_acc 0.9149 +2023-12-24 02:24:25,166 - pyskl - INFO - Epoch(val) [123][533] top1_acc: 0.9339, top5_acc: 0.9971, mean_class_accuracy: 0.9149 +2023-12-24 02:25:25,333 - pyskl - INFO - Epoch [124][100/1281] lr: 1.935e-03, eta: 4:00:29, time: 0.602, data_time: 0.176, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 +2023-12-24 02:26:08,000 - pyskl - INFO - Epoch [124][200/1281] lr: 1.924e-03, eta: 3:59:47, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2023-12-24 02:26:50,612 - pyskl - INFO - Epoch [124][300/1281] lr: 1.913e-03, eta: 3:59:06, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2023-12-24 02:27:33,285 - pyskl - INFO - Epoch [124][400/1281] lr: 1.902e-03, eta: 3:58:24, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0300, loss: 0.0300 +2023-12-24 02:28:15,902 - pyskl - INFO - Epoch [124][500/1281] lr: 1.892e-03, eta: 3:57:42, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2023-12-24 02:28:58,480 - pyskl - INFO - Epoch [124][600/1281] lr: 1.881e-03, eta: 3:57:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 +2023-12-24 02:29:41,096 - pyskl - INFO - Epoch [124][700/1281] lr: 1.870e-03, eta: 3:56:19, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2023-12-24 02:30:23,720 - pyskl - INFO - Epoch [124][800/1281] lr: 1.859e-03, eta: 3:55:37, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 +2023-12-24 02:31:06,347 - pyskl - INFO - Epoch [124][900/1281] lr: 1.849e-03, eta: 3:54:56, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2023-12-24 02:31:49,082 - pyskl - INFO - Epoch [124][1000/1281] lr: 1.838e-03, eta: 3:54:14, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2023-12-24 02:32:31,703 - pyskl - INFO - Epoch [124][1100/1281] lr: 1.827e-03, eta: 3:53:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2023-12-24 02:33:14,269 - pyskl - INFO - Epoch [124][1200/1281] lr: 1.817e-03, eta: 3:52:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0351, loss: 0.0351 +2023-12-24 02:33:41,123 - pyskl - INFO - Saving checkpoint at 124 epochs +2023-12-24 02:34:47,701 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 02:34:47,756 - pyskl - INFO - +top1_acc 0.9414 +top5_acc 0.9971 +2023-12-24 02:34:47,756 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 02:34:47,762 - pyskl - INFO - +mean_acc 0.9208 +2023-12-24 02:34:47,766 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_122.pth was removed +2023-12-24 02:34:47,961 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. +2023-12-24 02:34:47,962 - pyskl - INFO - Best top1_acc is 0.9414 at 124 epoch. +2023-12-24 02:34:47,966 - pyskl - INFO - Epoch(val) [124][533] top1_acc: 0.9414, top5_acc: 0.9971, mean_class_accuracy: 0.9208 +2023-12-24 02:35:48,540 - pyskl - INFO - Epoch [125][100/1281] lr: 1.797e-03, eta: 3:51:32, time: 0.606, data_time: 0.172, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 +2023-12-24 02:36:32,010 - pyskl - INFO - Epoch [125][200/1281] lr: 1.787e-03, eta: 3:50:50, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2023-12-24 02:37:15,416 - pyskl - INFO - Epoch [125][300/1281] lr: 1.776e-03, eta: 3:50:09, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2023-12-24 02:37:58,894 - pyskl - INFO - Epoch [125][400/1281] lr: 1.766e-03, eta: 3:49:27, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 +2023-12-24 02:38:42,279 - pyskl - INFO - Epoch [125][500/1281] lr: 1.755e-03, eta: 3:48:46, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2023-12-24 02:39:25,675 - pyskl - INFO - Epoch [125][600/1281] lr: 1.745e-03, eta: 3:48:04, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 +2023-12-24 02:40:09,118 - pyskl - INFO - Epoch [125][700/1281] lr: 1.735e-03, eta: 3:47:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2023-12-24 02:40:52,571 - pyskl - INFO - Epoch [125][800/1281] lr: 1.724e-03, eta: 3:46:41, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 +2023-12-24 02:41:35,942 - pyskl - INFO - Epoch [125][900/1281] lr: 1.714e-03, eta: 3:46:00, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2023-12-24 02:42:19,364 - pyskl - INFO - Epoch [125][1000/1281] lr: 1.704e-03, eta: 3:45:18, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0285, loss: 0.0285 +2023-12-24 02:43:02,794 - pyskl - INFO - Epoch [125][1100/1281] lr: 1.693e-03, eta: 3:44:37, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2023-12-24 02:43:46,121 - pyskl - INFO - Epoch [125][1200/1281] lr: 1.683e-03, eta: 3:43:55, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 +2023-12-24 02:44:13,823 - pyskl - INFO - Saving checkpoint at 125 epochs +2023-12-24 02:45:21,059 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 02:45:21,127 - pyskl - INFO - +top1_acc 0.9380 +top5_acc 0.9968 +2023-12-24 02:45:21,127 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 02:45:21,133 - pyskl - INFO - +mean_acc 0.9143 +2023-12-24 02:45:21,135 - pyskl - INFO - Epoch(val) [125][533] top1_acc: 0.9380, top5_acc: 0.9968, mean_class_accuracy: 0.9143 +2023-12-24 02:46:21,383 - pyskl - INFO - Epoch [126][100/1281] lr: 1.665e-03, eta: 3:42:36, time: 0.602, data_time: 0.176, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2023-12-24 02:47:04,015 - pyskl - INFO - Epoch [126][200/1281] lr: 1.654e-03, eta: 3:41:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0370, loss: 0.0370 +2023-12-24 02:47:46,587 - pyskl - INFO - Epoch [126][300/1281] lr: 1.644e-03, eta: 3:41:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2023-12-24 02:48:29,184 - pyskl - INFO - Epoch [126][400/1281] lr: 1.634e-03, eta: 3:40:31, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 +2023-12-24 02:49:11,891 - pyskl - INFO - Epoch [126][500/1281] lr: 1.624e-03, eta: 3:39:49, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 +2023-12-24 02:49:54,562 - pyskl - INFO - Epoch [126][600/1281] lr: 1.614e-03, eta: 3:39:08, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 +2023-12-24 02:50:37,164 - pyskl - INFO - Epoch [126][700/1281] lr: 1.604e-03, eta: 3:38:26, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 +2023-12-24 02:51:19,732 - pyskl - INFO - Epoch [126][800/1281] lr: 1.594e-03, eta: 3:37:44, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2023-12-24 02:52:02,325 - pyskl - INFO - Epoch [126][900/1281] lr: 1.584e-03, eta: 3:37:03, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2023-12-24 02:52:44,916 - pyskl - INFO - Epoch [126][1000/1281] lr: 1.574e-03, eta: 3:36:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2023-12-24 02:53:27,687 - pyskl - INFO - Epoch [126][1100/1281] lr: 1.564e-03, eta: 3:35:39, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 +2023-12-24 02:54:10,313 - pyskl - INFO - Epoch [126][1200/1281] lr: 1.554e-03, eta: 3:34:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0419, loss: 0.0419 +2023-12-24 02:54:37,842 - pyskl - INFO - Saving checkpoint at 126 epochs +2023-12-24 02:55:44,848 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 02:55:44,916 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9965 +2023-12-24 02:55:44,917 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 02:55:44,926 - pyskl - INFO - +mean_acc 0.9142 +2023-12-24 02:55:44,929 - pyskl - INFO - Epoch(val) [126][533] top1_acc: 0.9386, top5_acc: 0.9965, mean_class_accuracy: 0.9142 +2023-12-24 02:56:46,158 - pyskl - INFO - Epoch [127][100/1281] lr: 1.536e-03, eta: 3:33:39, time: 0.612, data_time: 0.178, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2023-12-24 02:57:29,735 - pyskl - INFO - Epoch [127][200/1281] lr: 1.527e-03, eta: 3:32:58, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0318, loss: 0.0318 +2023-12-24 02:58:13,164 - pyskl - INFO - Epoch [127][300/1281] lr: 1.517e-03, eta: 3:32:16, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2023-12-24 02:58:56,523 - pyskl - INFO - Epoch [127][400/1281] lr: 1.507e-03, eta: 3:31:34, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 +2023-12-24 02:59:39,945 - pyskl - INFO - Epoch [127][500/1281] lr: 1.497e-03, eta: 3:30:53, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0286, loss: 0.0286 +2023-12-24 03:00:23,355 - pyskl - INFO - Epoch [127][600/1281] lr: 1.488e-03, eta: 3:30:11, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0281, loss: 0.0281 +2023-12-24 03:01:06,744 - pyskl - INFO - Epoch [127][700/1281] lr: 1.478e-03, eta: 3:29:30, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 +2023-12-24 03:01:50,119 - pyskl - INFO - Epoch [127][800/1281] lr: 1.468e-03, eta: 3:28:48, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 +2023-12-24 03:02:33,458 - pyskl - INFO - Epoch [127][900/1281] lr: 1.459e-03, eta: 3:28:07, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2023-12-24 03:03:16,840 - pyskl - INFO - Epoch [127][1000/1281] lr: 1.449e-03, eta: 3:27:25, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2023-12-24 03:04:00,222 - pyskl - INFO - Epoch [127][1100/1281] lr: 1.440e-03, eta: 3:26:44, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2023-12-24 03:04:43,587 - pyskl - INFO - Epoch [127][1200/1281] lr: 1.430e-03, eta: 3:26:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 +2023-12-24 03:05:11,591 - pyskl - INFO - Saving checkpoint at 127 epochs +2023-12-24 03:06:18,931 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 03:06:18,987 - pyskl - INFO - +top1_acc 0.9399 +top5_acc 0.9973 +2023-12-24 03:06:18,988 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 03:06:18,995 - pyskl - INFO - +mean_acc 0.9172 +2023-12-24 03:06:18,997 - pyskl - INFO - Epoch(val) [127][533] top1_acc: 0.9399, top5_acc: 0.9973, mean_class_accuracy: 0.9172 +2023-12-24 03:07:19,442 - pyskl - INFO - Epoch [128][100/1281] lr: 1.413e-03, eta: 3:24:44, time: 0.604, data_time: 0.179, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2023-12-24 03:08:02,068 - pyskl - INFO - Epoch [128][200/1281] lr: 1.404e-03, eta: 3:24:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2023-12-24 03:08:44,720 - pyskl - INFO - Epoch [128][300/1281] lr: 1.394e-03, eta: 3:23:20, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2023-12-24 03:09:27,358 - pyskl - INFO - Epoch [128][400/1281] lr: 1.385e-03, eta: 3:22:38, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2023-12-24 03:10:09,973 - pyskl - INFO - Epoch [128][500/1281] lr: 1.376e-03, eta: 3:21:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0345, loss: 0.0345 +2023-12-24 03:10:52,593 - pyskl - INFO - Epoch [128][600/1281] lr: 1.366e-03, eta: 3:21:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2023-12-24 03:11:35,280 - pyskl - INFO - Epoch [128][700/1281] lr: 1.357e-03, eta: 3:20:33, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0283, loss: 0.0283 +2023-12-24 03:12:17,807 - pyskl - INFO - Epoch [128][800/1281] lr: 1.348e-03, eta: 3:19:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 03:13:00,501 - pyskl - INFO - Epoch [128][900/1281] lr: 1.339e-03, eta: 3:19:10, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2023-12-24 03:13:43,195 - pyskl - INFO - Epoch [128][1000/1281] lr: 1.329e-03, eta: 3:18:28, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2023-12-24 03:14:25,760 - pyskl - INFO - Epoch [128][1100/1281] lr: 1.320e-03, eta: 3:17:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2023-12-24 03:15:08,443 - pyskl - INFO - Epoch [128][1200/1281] lr: 1.311e-03, eta: 3:17:05, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2023-12-24 03:15:36,247 - pyskl - INFO - Saving checkpoint at 128 epochs +2023-12-24 03:16:43,936 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 03:16:44,004 - pyskl - INFO - +top1_acc 0.9383 +top5_acc 0.9968 +2023-12-24 03:16:44,005 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 03:16:44,011 - pyskl - INFO - +mean_acc 0.9174 +2023-12-24 03:16:44,013 - pyskl - INFO - Epoch(val) [128][533] top1_acc: 0.9383, top5_acc: 0.9968, mean_class_accuracy: 0.9174 +2023-12-24 03:17:45,161 - pyskl - INFO - Epoch [129][100/1281] lr: 1.295e-03, eta: 3:15:47, time: 0.611, data_time: 0.177, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2023-12-24 03:18:28,626 - pyskl - INFO - Epoch [129][200/1281] lr: 1.286e-03, eta: 3:15:05, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2023-12-24 03:19:12,008 - pyskl - INFO - Epoch [129][300/1281] lr: 1.277e-03, eta: 3:14:24, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 +2023-12-24 03:19:55,400 - pyskl - INFO - Epoch [129][400/1281] lr: 1.268e-03, eta: 3:13:42, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2023-12-24 03:20:38,755 - pyskl - INFO - Epoch [129][500/1281] lr: 1.259e-03, eta: 3:13:00, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 +2023-12-24 03:21:22,112 - pyskl - INFO - Epoch [129][600/1281] lr: 1.250e-03, eta: 3:12:19, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2023-12-24 03:22:05,554 - pyskl - INFO - Epoch [129][700/1281] lr: 1.241e-03, eta: 3:11:37, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2023-12-24 03:22:48,940 - pyskl - INFO - Epoch [129][800/1281] lr: 1.232e-03, eta: 3:10:56, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2023-12-24 03:23:32,323 - pyskl - INFO - Epoch [129][900/1281] lr: 1.223e-03, eta: 3:10:14, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2023-12-24 03:24:15,749 - pyskl - INFO - Epoch [129][1000/1281] lr: 1.214e-03, eta: 3:09:32, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2023-12-24 03:24:59,076 - pyskl - INFO - Epoch [129][1100/1281] lr: 1.206e-03, eta: 3:08:51, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2023-12-24 03:25:42,480 - pyskl - INFO - Epoch [129][1200/1281] lr: 1.197e-03, eta: 3:08:09, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 +2023-12-24 03:26:11,244 - pyskl - INFO - Saving checkpoint at 129 epochs +2023-12-24 03:27:18,793 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 03:27:18,895 - pyskl - INFO - +top1_acc 0.9379 +top5_acc 0.9973 +2023-12-24 03:27:18,895 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 03:27:18,903 - pyskl - INFO - +mean_acc 0.9175 +2023-12-24 03:27:18,905 - pyskl - INFO - Epoch(val) [129][533] top1_acc: 0.9379, top5_acc: 0.9973, mean_class_accuracy: 0.9175 +2023-12-24 03:28:19,477 - pyskl - INFO - Epoch [130][100/1281] lr: 1.181e-03, eta: 3:06:51, time: 0.606, data_time: 0.172, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2023-12-24 03:29:02,889 - pyskl - INFO - Epoch [130][200/1281] lr: 1.172e-03, eta: 3:06:10, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2023-12-24 03:29:46,255 - pyskl - INFO - Epoch [130][300/1281] lr: 1.164e-03, eta: 3:05:28, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2023-12-24 03:30:29,655 - pyskl - INFO - Epoch [130][400/1281] lr: 1.155e-03, eta: 3:04:46, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2023-12-24 03:31:13,042 - pyskl - INFO - Epoch [130][500/1281] lr: 1.147e-03, eta: 3:04:05, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2023-12-24 03:31:56,408 - pyskl - INFO - Epoch [130][600/1281] lr: 1.138e-03, eta: 3:03:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2023-12-24 03:32:39,824 - pyskl - INFO - Epoch [130][700/1281] lr: 1.130e-03, eta: 3:02:42, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 +2023-12-24 03:33:23,212 - pyskl - INFO - Epoch [130][800/1281] lr: 1.121e-03, eta: 3:02:00, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2023-12-24 03:34:06,619 - pyskl - INFO - Epoch [130][900/1281] lr: 1.113e-03, eta: 3:01:18, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2023-12-24 03:34:50,032 - pyskl - INFO - Epoch [130][1000/1281] lr: 1.104e-03, eta: 3:00:37, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0281, loss: 0.0281 +2023-12-24 03:35:33,395 - pyskl - INFO - Epoch [130][1100/1281] lr: 1.096e-03, eta: 2:59:55, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2023-12-24 03:36:16,793 - pyskl - INFO - Epoch [130][1200/1281] lr: 1.088e-03, eta: 2:59:14, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2023-12-24 03:36:45,799 - pyskl - INFO - Saving checkpoint at 130 epochs +2023-12-24 03:37:54,474 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 03:37:54,530 - pyskl - INFO - +top1_acc 0.9424 +top5_acc 0.9968 +2023-12-24 03:37:54,531 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 03:37:54,538 - pyskl - INFO - +mean_acc 0.9233 +2023-12-24 03:37:54,542 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_124.pth was removed +2023-12-24 03:37:54,722 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2023-12-24 03:37:54,722 - pyskl - INFO - Best top1_acc is 0.9424 at 130 epoch. +2023-12-24 03:37:54,725 - pyskl - INFO - Epoch(val) [130][533] top1_acc: 0.9424, top5_acc: 0.9968, mean_class_accuracy: 0.9233 +2023-12-24 03:38:55,332 - pyskl - INFO - Epoch [131][100/1281] lr: 1.072e-03, eta: 2:57:56, time: 0.606, data_time: 0.173, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2023-12-24 03:39:38,826 - pyskl - INFO - Epoch [131][200/1281] lr: 1.064e-03, eta: 2:57:14, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0372, loss: 0.0372 +2023-12-24 03:40:22,282 - pyskl - INFO - Epoch [131][300/1281] lr: 1.056e-03, eta: 2:56:32, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 +2023-12-24 03:41:05,725 - pyskl - INFO - Epoch [131][400/1281] lr: 1.048e-03, eta: 2:55:51, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0286, loss: 0.0286 +2023-12-24 03:41:49,089 - pyskl - INFO - Epoch [131][500/1281] lr: 1.040e-03, eta: 2:55:09, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2023-12-24 03:42:32,502 - pyskl - INFO - Epoch [131][600/1281] lr: 1.031e-03, eta: 2:54:28, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 +2023-12-24 03:43:15,946 - pyskl - INFO - Epoch [131][700/1281] lr: 1.023e-03, eta: 2:53:46, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 03:43:59,418 - pyskl - INFO - Epoch [131][800/1281] lr: 1.015e-03, eta: 2:53:04, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2023-12-24 03:44:42,777 - pyskl - INFO - Epoch [131][900/1281] lr: 1.007e-03, eta: 2:52:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0290, loss: 0.0290 +2023-12-24 03:45:26,246 - pyskl - INFO - Epoch [131][1000/1281] lr: 9.992e-04, eta: 2:51:41, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2023-12-24 03:46:09,768 - pyskl - INFO - Epoch [131][1100/1281] lr: 9.912e-04, eta: 2:51:00, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2023-12-24 03:46:53,303 - pyskl - INFO - Epoch [131][1200/1281] lr: 9.832e-04, eta: 2:50:18, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2023-12-24 03:47:22,587 - pyskl - INFO - Saving checkpoint at 131 epochs +2023-12-24 03:48:32,279 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 03:48:32,333 - pyskl - INFO - +top1_acc 0.9403 +top5_acc 0.9971 +2023-12-24 03:48:32,334 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 03:48:32,340 - pyskl - INFO - +mean_acc 0.9188 +2023-12-24 03:48:32,342 - pyskl - INFO - Epoch(val) [131][533] top1_acc: 0.9403, top5_acc: 0.9971, mean_class_accuracy: 0.9188 +2023-12-24 03:49:33,046 - pyskl - INFO - Epoch [132][100/1281] lr: 9.689e-04, eta: 2:49:00, time: 0.607, data_time: 0.173, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2023-12-24 03:50:16,417 - pyskl - INFO - Epoch [132][200/1281] lr: 9.610e-04, eta: 2:48:18, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2023-12-24 03:50:59,859 - pyskl - INFO - Epoch [132][300/1281] lr: 9.532e-04, eta: 2:47:37, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 +2023-12-24 03:51:43,282 - pyskl - INFO - Epoch [132][400/1281] lr: 9.454e-04, eta: 2:46:55, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 +2023-12-24 03:52:26,640 - pyskl - INFO - Epoch [132][500/1281] lr: 9.376e-04, eta: 2:46:14, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2023-12-24 03:53:09,985 - pyskl - INFO - Epoch [132][600/1281] lr: 9.298e-04, eta: 2:45:32, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2023-12-24 03:53:53,391 - pyskl - INFO - Epoch [132][700/1281] lr: 9.221e-04, eta: 2:44:50, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2023-12-24 03:54:36,813 - pyskl - INFO - Epoch [132][800/1281] lr: 9.144e-04, eta: 2:44:09, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2023-12-24 03:55:20,189 - pyskl - INFO - Epoch [132][900/1281] lr: 9.068e-04, eta: 2:43:27, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2023-12-24 03:56:03,694 - pyskl - INFO - Epoch [132][1000/1281] lr: 8.991e-04, eta: 2:42:45, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2023-12-24 03:56:47,209 - pyskl - INFO - Epoch [132][1100/1281] lr: 8.915e-04, eta: 2:42:04, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 03:57:30,624 - pyskl - INFO - Epoch [132][1200/1281] lr: 8.840e-04, eta: 2:41:22, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2023-12-24 03:58:00,484 - pyskl - INFO - Saving checkpoint at 132 epochs +2023-12-24 03:59:09,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 03:59:09,739 - pyskl - INFO - +top1_acc 0.9414 +top5_acc 0.9971 +2023-12-24 03:59:09,739 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 03:59:09,748 - pyskl - INFO - +mean_acc 0.9191 +2023-12-24 03:59:09,751 - pyskl - INFO - Epoch(val) [132][533] top1_acc: 0.9414, top5_acc: 0.9971, mean_class_accuracy: 0.9191 +2023-12-24 04:00:09,688 - pyskl - INFO - Epoch [133][100/1281] lr: 8.704e-04, eta: 2:40:04, time: 0.599, data_time: 0.174, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 04:00:52,230 - pyskl - INFO - Epoch [133][200/1281] lr: 8.629e-04, eta: 2:39:23, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2023-12-24 04:01:34,799 - pyskl - INFO - Epoch [133][300/1281] lr: 8.554e-04, eta: 2:38:41, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2023-12-24 04:02:17,426 - pyskl - INFO - Epoch [133][400/1281] lr: 8.480e-04, eta: 2:37:59, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2023-12-24 04:02:59,956 - pyskl - INFO - Epoch [133][500/1281] lr: 8.406e-04, eta: 2:37:17, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2023-12-24 04:03:42,456 - pyskl - INFO - Epoch [133][600/1281] lr: 8.333e-04, eta: 2:36:36, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2023-12-24 04:04:25,069 - pyskl - INFO - Epoch [133][700/1281] lr: 8.260e-04, eta: 2:35:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0283, loss: 0.0283 +2023-12-24 04:05:07,605 - pyskl - INFO - Epoch [133][800/1281] lr: 8.187e-04, eta: 2:35:12, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2023-12-24 04:05:50,206 - pyskl - INFO - Epoch [133][900/1281] lr: 8.114e-04, eta: 2:34:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2023-12-24 04:06:32,872 - pyskl - INFO - Epoch [133][1000/1281] lr: 8.042e-04, eta: 2:33:49, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2023-12-24 04:07:15,407 - pyskl - INFO - Epoch [133][1100/1281] lr: 7.970e-04, eta: 2:33:07, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2023-12-24 04:07:58,060 - pyskl - INFO - Epoch [133][1200/1281] lr: 7.898e-04, eta: 2:32:25, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 04:08:27,956 - pyskl - INFO - Saving checkpoint at 133 epochs +2023-12-24 04:09:38,024 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 04:09:38,107 - pyskl - INFO - +top1_acc 0.9419 +top5_acc 0.9969 +2023-12-24 04:09:38,107 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 04:09:38,118 - pyskl - INFO - +mean_acc 0.9202 +2023-12-24 04:09:38,121 - pyskl - INFO - Epoch(val) [133][533] top1_acc: 0.9419, top5_acc: 0.9969, mean_class_accuracy: 0.9202 +2023-12-24 04:10:38,809 - pyskl - INFO - Epoch [134][100/1281] lr: 7.769e-04, eta: 2:31:08, time: 0.607, data_time: 0.173, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2023-12-24 04:11:22,175 - pyskl - INFO - Epoch [134][200/1281] lr: 7.699e-04, eta: 2:30:26, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2023-12-24 04:12:05,622 - pyskl - INFO - Epoch [134][300/1281] lr: 7.628e-04, eta: 2:29:44, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 04:12:49,041 - pyskl - INFO - Epoch [134][400/1281] lr: 7.558e-04, eta: 2:29:03, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2023-12-24 04:13:32,421 - pyskl - INFO - Epoch [134][500/1281] lr: 7.488e-04, eta: 2:28:21, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2023-12-24 04:14:15,874 - pyskl - INFO - Epoch [134][600/1281] lr: 7.419e-04, eta: 2:27:39, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 04:14:59,256 - pyskl - INFO - Epoch [134][700/1281] lr: 7.349e-04, eta: 2:26:58, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0285, loss: 0.0285 +2023-12-24 04:15:42,749 - pyskl - INFO - Epoch [134][800/1281] lr: 7.281e-04, eta: 2:26:16, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2023-12-24 04:16:26,186 - pyskl - INFO - Epoch [134][900/1281] lr: 7.212e-04, eta: 2:25:34, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 +2023-12-24 04:17:09,644 - pyskl - INFO - Epoch [134][1000/1281] lr: 7.144e-04, eta: 2:24:53, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2023-12-24 04:17:53,031 - pyskl - INFO - Epoch [134][1100/1281] lr: 7.076e-04, eta: 2:24:11, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2023-12-24 04:18:36,364 - pyskl - INFO - Epoch [134][1200/1281] lr: 7.008e-04, eta: 2:23:29, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2023-12-24 04:19:07,280 - pyskl - INFO - Saving checkpoint at 134 epochs +2023-12-24 04:20:17,981 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 04:20:18,035 - pyskl - INFO - +top1_acc 0.9414 +top5_acc 0.9967 +2023-12-24 04:20:18,036 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 04:20:18,042 - pyskl - INFO - +mean_acc 0.9213 +2023-12-24 04:20:18,044 - pyskl - INFO - Epoch(val) [134][533] top1_acc: 0.9414, top5_acc: 0.9967, mean_class_accuracy: 0.9213 +2023-12-24 04:21:17,837 - pyskl - INFO - Epoch [135][100/1281] lr: 6.887e-04, eta: 2:22:12, time: 0.598, data_time: 0.173, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2023-12-24 04:22:00,462 - pyskl - INFO - Epoch [135][200/1281] lr: 6.820e-04, eta: 2:21:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2023-12-24 04:22:43,021 - pyskl - INFO - Epoch [135][300/1281] lr: 6.753e-04, eta: 2:20:48, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2023-12-24 04:23:25,625 - pyskl - INFO - Epoch [135][400/1281] lr: 6.687e-04, eta: 2:20:07, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 04:24:08,163 - pyskl - INFO - Epoch [135][500/1281] lr: 6.622e-04, eta: 2:19:25, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 04:24:50,700 - pyskl - INFO - Epoch [135][600/1281] lr: 6.556e-04, eta: 2:18:43, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2023-12-24 04:25:33,319 - pyskl - INFO - Epoch [135][700/1281] lr: 6.491e-04, eta: 2:18:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 +2023-12-24 04:26:15,978 - pyskl - INFO - Epoch [135][800/1281] lr: 6.426e-04, eta: 2:17:20, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2023-12-24 04:26:58,682 - pyskl - INFO - Epoch [135][900/1281] lr: 6.362e-04, eta: 2:16:38, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2023-12-24 04:27:42,044 - pyskl - INFO - Epoch [135][1000/1281] lr: 6.297e-04, eta: 2:15:56, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2023-12-24 04:28:25,467 - pyskl - INFO - Epoch [135][1100/1281] lr: 6.233e-04, eta: 2:15:15, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 04:29:08,929 - pyskl - INFO - Epoch [135][1200/1281] lr: 6.170e-04, eta: 2:14:33, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2023-12-24 04:29:40,994 - pyskl - INFO - Saving checkpoint at 135 epochs +2023-12-24 04:30:53,355 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 04:30:53,410 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9971 +2023-12-24 04:30:53,410 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 04:30:53,418 - pyskl - INFO - +mean_acc 0.9236 +2023-12-24 04:30:53,420 - pyskl - INFO - Epoch(val) [135][533] top1_acc: 0.9423, top5_acc: 0.9971, mean_class_accuracy: 0.9236 +2023-12-24 04:31:53,569 - pyskl - INFO - Epoch [136][100/1281] lr: 6.056e-04, eta: 2:13:15, time: 0.601, data_time: 0.176, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2023-12-24 04:32:36,178 - pyskl - INFO - Epoch [136][200/1281] lr: 5.993e-04, eta: 2:12:34, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2023-12-24 04:33:18,743 - pyskl - INFO - Epoch [136][300/1281] lr: 5.931e-04, eta: 2:11:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2023-12-24 04:34:01,297 - pyskl - INFO - Epoch [136][400/1281] lr: 5.868e-04, eta: 2:11:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2023-12-24 04:34:43,826 - pyskl - INFO - Epoch [136][500/1281] lr: 5.807e-04, eta: 2:10:28, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2023-12-24 04:35:26,485 - pyskl - INFO - Epoch [136][600/1281] lr: 5.745e-04, eta: 2:09:47, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 04:36:09,152 - pyskl - INFO - Epoch [136][700/1281] lr: 5.684e-04, eta: 2:09:05, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2023-12-24 04:36:51,704 - pyskl - INFO - Epoch [136][800/1281] lr: 5.623e-04, eta: 2:08:23, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2023-12-24 04:37:34,312 - pyskl - INFO - Epoch [136][900/1281] lr: 5.563e-04, eta: 2:07:41, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2023-12-24 04:38:16,971 - pyskl - INFO - Epoch [136][1000/1281] lr: 5.503e-04, eta: 2:07:00, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2023-12-24 04:38:59,571 - pyskl - INFO - Epoch [136][1100/1281] lr: 5.443e-04, eta: 2:06:18, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2023-12-24 04:39:42,169 - pyskl - INFO - Epoch [136][1200/1281] lr: 5.384e-04, eta: 2:05:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 04:40:14,880 - pyskl - INFO - Saving checkpoint at 136 epochs +2023-12-24 04:41:28,786 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 04:41:28,840 - pyskl - INFO - +top1_acc 0.9413 +top5_acc 0.9971 +2023-12-24 04:41:28,841 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 04:41:28,846 - pyskl - INFO - +mean_acc 0.9192 +2023-12-24 04:41:28,848 - pyskl - INFO - Epoch(val) [136][533] top1_acc: 0.9413, top5_acc: 0.9971, mean_class_accuracy: 0.9192 +2023-12-24 04:42:29,692 - pyskl - INFO - Epoch [137][100/1281] lr: 5.277e-04, eta: 2:04:19, time: 0.608, data_time: 0.174, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 04:43:13,175 - pyskl - INFO - Epoch [137][200/1281] lr: 5.218e-04, eta: 2:03:37, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2023-12-24 04:43:56,634 - pyskl - INFO - Epoch [137][300/1281] lr: 5.160e-04, eta: 2:02:56, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2023-12-24 04:44:40,009 - pyskl - INFO - Epoch [137][400/1281] lr: 5.102e-04, eta: 2:02:14, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2023-12-24 04:45:23,404 - pyskl - INFO - Epoch [137][500/1281] lr: 5.044e-04, eta: 2:01:32, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2023-12-24 04:46:06,838 - pyskl - INFO - Epoch [137][600/1281] lr: 4.987e-04, eta: 2:00:51, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 04:46:50,267 - pyskl - INFO - Epoch [137][700/1281] lr: 4.930e-04, eta: 2:00:09, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 04:47:33,662 - pyskl - INFO - Epoch [137][800/1281] lr: 4.873e-04, eta: 1:59:27, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2023-12-24 04:48:17,068 - pyskl - INFO - Epoch [137][900/1281] lr: 4.817e-04, eta: 1:58:46, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2023-12-24 04:49:00,443 - pyskl - INFO - Epoch [137][1000/1281] lr: 4.761e-04, eta: 1:58:04, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2023-12-24 04:49:43,879 - pyskl - INFO - Epoch [137][1100/1281] lr: 4.705e-04, eta: 1:57:22, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2023-12-24 04:50:27,295 - pyskl - INFO - Epoch [137][1200/1281] lr: 4.650e-04, eta: 1:56:41, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2023-12-24 04:51:01,723 - pyskl - INFO - Saving checkpoint at 137 epochs +2023-12-24 04:52:16,880 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 04:52:16,935 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9975 +2023-12-24 04:52:16,935 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 04:52:16,941 - pyskl - INFO - +mean_acc 0.9201 +2023-12-24 04:52:16,945 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_130.pth was removed +2023-12-24 04:52:17,131 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. +2023-12-24 04:52:17,131 - pyskl - INFO - Best top1_acc is 0.9427 at 137 epoch. +2023-12-24 04:52:17,134 - pyskl - INFO - Epoch(val) [137][533] top1_acc: 0.9427, top5_acc: 0.9975, mean_class_accuracy: 0.9201 +2023-12-24 04:53:18,158 - pyskl - INFO - Epoch [138][100/1281] lr: 4.550e-04, eta: 1:55:23, time: 0.610, data_time: 0.175, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2023-12-24 04:54:01,715 - pyskl - INFO - Epoch [138][200/1281] lr: 4.496e-04, eta: 1:54:42, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2023-12-24 04:54:45,231 - pyskl - INFO - Epoch [138][300/1281] lr: 4.442e-04, eta: 1:54:00, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 04:55:28,637 - pyskl - INFO - Epoch [138][400/1281] lr: 4.388e-04, eta: 1:53:18, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 04:56:12,128 - pyskl - INFO - Epoch [138][500/1281] lr: 4.334e-04, eta: 1:52:37, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2023-12-24 04:56:55,577 - pyskl - INFO - Epoch [138][600/1281] lr: 4.281e-04, eta: 1:51:55, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2023-12-24 04:57:39,008 - pyskl - INFO - Epoch [138][700/1281] lr: 4.228e-04, eta: 1:51:13, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2023-12-24 04:58:22,408 - pyskl - INFO - Epoch [138][800/1281] lr: 4.176e-04, eta: 1:50:32, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2023-12-24 04:59:05,914 - pyskl - INFO - Epoch [138][900/1281] lr: 4.124e-04, eta: 1:49:50, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2023-12-24 04:59:49,505 - pyskl - INFO - Epoch [138][1000/1281] lr: 4.072e-04, eta: 1:49:08, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2023-12-24 05:00:32,927 - pyskl - INFO - Epoch [138][1100/1281] lr: 4.020e-04, eta: 1:48:27, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 05:01:16,340 - pyskl - INFO - Epoch [138][1200/1281] lr: 3.969e-04, eta: 1:47:45, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2023-12-24 05:01:51,311 - pyskl - INFO - Saving checkpoint at 138 epochs +2023-12-24 05:03:07,488 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 05:03:07,549 - pyskl - INFO - +top1_acc 0.9436 +top5_acc 0.9971 +2023-12-24 05:03:07,549 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 05:03:07,557 - pyskl - INFO - +mean_acc 0.9239 +2023-12-24 05:03:07,562 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_137.pth was removed +2023-12-24 05:03:07,739 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2023-12-24 05:03:07,739 - pyskl - INFO - Best top1_acc is 0.9436 at 138 epoch. +2023-12-24 05:03:07,742 - pyskl - INFO - Epoch(val) [138][533] top1_acc: 0.9436, top5_acc: 0.9971, mean_class_accuracy: 0.9239 +2023-12-24 05:04:08,108 - pyskl - INFO - Epoch [139][100/1281] lr: 3.877e-04, eta: 1:46:28, time: 0.604, data_time: 0.174, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2023-12-24 05:04:51,571 - pyskl - INFO - Epoch [139][200/1281] lr: 3.827e-04, eta: 1:45:46, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2023-12-24 05:05:35,052 - pyskl - INFO - Epoch [139][300/1281] lr: 3.777e-04, eta: 1:45:04, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2023-12-24 05:06:18,501 - pyskl - INFO - Epoch [139][400/1281] lr: 3.727e-04, eta: 1:44:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2023-12-24 05:07:02,009 - pyskl - INFO - Epoch [139][500/1281] lr: 3.678e-04, eta: 1:43:41, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 05:07:45,421 - pyskl - INFO - Epoch [139][600/1281] lr: 3.628e-04, eta: 1:42:59, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2023-12-24 05:08:28,786 - pyskl - INFO - Epoch [139][700/1281] lr: 3.580e-04, eta: 1:42:18, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2023-12-24 05:09:12,173 - pyskl - INFO - Epoch [139][800/1281] lr: 3.531e-04, eta: 1:41:36, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2023-12-24 05:09:55,606 - pyskl - INFO - Epoch [139][900/1281] lr: 3.483e-04, eta: 1:40:54, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2023-12-24 05:10:38,991 - pyskl - INFO - Epoch [139][1000/1281] lr: 3.436e-04, eta: 1:40:12, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0241, loss: 0.0241 +2023-12-24 05:11:22,386 - pyskl - INFO - Epoch [139][1100/1281] lr: 3.388e-04, eta: 1:39:31, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 05:12:05,814 - pyskl - INFO - Epoch [139][1200/1281] lr: 3.341e-04, eta: 1:38:49, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2023-12-24 05:12:41,442 - pyskl - INFO - Saving checkpoint at 139 epochs +2023-12-24 05:13:57,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 05:13:57,513 - pyskl - INFO - +top1_acc 0.9419 +top5_acc 0.9971 +2023-12-24 05:13:57,514 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 05:13:57,523 - pyskl - INFO - +mean_acc 0.9197 +2023-12-24 05:13:57,526 - pyskl - INFO - Epoch(val) [139][533] top1_acc: 0.9419, top5_acc: 0.9971, mean_class_accuracy: 0.9197 +2023-12-24 05:14:57,408 - pyskl - INFO - Epoch [140][100/1281] lr: 3.257e-04, eta: 1:37:32, time: 0.599, data_time: 0.176, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2023-12-24 05:15:40,040 - pyskl - INFO - Epoch [140][200/1281] lr: 3.210e-04, eta: 1:36:50, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2023-12-24 05:16:22,706 - pyskl - INFO - Epoch [140][300/1281] lr: 3.165e-04, eta: 1:36:09, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2023-12-24 05:17:05,272 - pyskl - INFO - Epoch [140][400/1281] lr: 3.119e-04, eta: 1:35:27, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2023-12-24 05:17:47,886 - pyskl - INFO - Epoch [140][500/1281] lr: 3.074e-04, eta: 1:34:45, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 05:18:30,429 - pyskl - INFO - Epoch [140][600/1281] lr: 3.029e-04, eta: 1:34:03, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2023-12-24 05:19:13,096 - pyskl - INFO - Epoch [140][700/1281] lr: 2.984e-04, eta: 1:33:21, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2023-12-24 05:19:55,762 - pyskl - INFO - Epoch [140][800/1281] lr: 2.940e-04, eta: 1:32:40, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2023-12-24 05:20:38,403 - pyskl - INFO - Epoch [140][900/1281] lr: 2.896e-04, eta: 1:31:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2023-12-24 05:21:21,144 - pyskl - INFO - Epoch [140][1000/1281] lr: 2.853e-04, eta: 1:31:16, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2023-12-24 05:22:03,747 - pyskl - INFO - Epoch [140][1100/1281] lr: 2.809e-04, eta: 1:30:34, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2023-12-24 05:22:46,413 - pyskl - INFO - Epoch [140][1200/1281] lr: 2.767e-04, eta: 1:29:53, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2023-12-24 05:23:21,499 - pyskl - INFO - Saving checkpoint at 140 epochs +2023-12-24 05:24:38,302 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 05:24:38,358 - pyskl - INFO - +top1_acc 0.9424 +top5_acc 0.9968 +2023-12-24 05:24:38,358 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 05:24:38,365 - pyskl - INFO - +mean_acc 0.9209 +2023-12-24 05:24:38,367 - pyskl - INFO - Epoch(val) [140][533] top1_acc: 0.9424, top5_acc: 0.9968, mean_class_accuracy: 0.9209 +2023-12-24 05:25:38,319 - pyskl - INFO - Epoch [141][100/1281] lr: 2.690e-04, eta: 1:28:36, time: 0.599, data_time: 0.171, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2023-12-24 05:26:21,811 - pyskl - INFO - Epoch [141][200/1281] lr: 2.648e-04, eta: 1:27:54, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 05:27:05,281 - pyskl - INFO - Epoch [141][300/1281] lr: 2.606e-04, eta: 1:27:12, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2023-12-24 05:27:48,621 - pyskl - INFO - Epoch [141][400/1281] lr: 2.565e-04, eta: 1:26:31, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2023-12-24 05:28:32,004 - pyskl - INFO - Epoch [141][500/1281] lr: 2.524e-04, eta: 1:25:49, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2023-12-24 05:29:15,471 - pyskl - INFO - Epoch [141][600/1281] lr: 2.483e-04, eta: 1:25:07, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 +2023-12-24 05:29:58,870 - pyskl - INFO - Epoch [141][700/1281] lr: 2.443e-04, eta: 1:24:25, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2023-12-24 05:30:42,359 - pyskl - INFO - Epoch [141][800/1281] lr: 2.402e-04, eta: 1:23:44, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2023-12-24 05:31:25,772 - pyskl - INFO - Epoch [141][900/1281] lr: 2.363e-04, eta: 1:23:02, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2023-12-24 05:32:09,247 - pyskl - INFO - Epoch [141][1000/1281] lr: 2.323e-04, eta: 1:22:20, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2023-12-24 05:32:52,640 - pyskl - INFO - Epoch [141][1100/1281] lr: 2.284e-04, eta: 1:21:39, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 +2023-12-24 05:33:36,065 - pyskl - INFO - Epoch [141][1200/1281] lr: 2.246e-04, eta: 1:20:57, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 05:34:11,768 - pyskl - INFO - Saving checkpoint at 141 epochs +2023-12-24 05:35:26,759 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 05:35:26,816 - pyskl - INFO - +top1_acc 0.9430 +top5_acc 0.9977 +2023-12-24 05:35:26,816 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 05:35:26,824 - pyskl - INFO - +mean_acc 0.9221 +2023-12-24 05:35:26,826 - pyskl - INFO - Epoch(val) [141][533] top1_acc: 0.9430, top5_acc: 0.9977, mean_class_accuracy: 0.9221 +2023-12-24 05:36:27,497 - pyskl - INFO - Epoch [142][100/1281] lr: 2.176e-04, eta: 1:19:40, time: 0.607, data_time: 0.178, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 05:37:11,592 - pyskl - INFO - Epoch [142][200/1281] lr: 2.139e-04, eta: 1:18:58, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 +2023-12-24 05:37:55,577 - pyskl - INFO - Epoch [142][300/1281] lr: 2.101e-04, eta: 1:18:17, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2023-12-24 05:38:39,752 - pyskl - INFO - Epoch [142][400/1281] lr: 2.064e-04, eta: 1:17:35, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2023-12-24 05:39:23,310 - pyskl - INFO - Epoch [142][500/1281] lr: 2.027e-04, eta: 1:16:53, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2023-12-24 05:40:06,887 - pyskl - INFO - Epoch [142][600/1281] lr: 1.991e-04, eta: 1:16:12, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2023-12-24 05:40:49,965 - pyskl - INFO - Epoch [142][700/1281] lr: 1.954e-04, eta: 1:15:30, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2023-12-24 05:41:32,830 - pyskl - INFO - Epoch [142][800/1281] lr: 1.919e-04, eta: 1:14:48, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 +2023-12-24 05:42:16,060 - pyskl - INFO - Epoch [142][900/1281] lr: 1.883e-04, eta: 1:14:06, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2023-12-24 05:42:59,834 - pyskl - INFO - Epoch [142][1000/1281] lr: 1.848e-04, eta: 1:13:25, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2023-12-24 05:43:43,304 - pyskl - INFO - Epoch [142][1100/1281] lr: 1.813e-04, eta: 1:12:43, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2023-12-24 05:44:27,166 - pyskl - INFO - Epoch [142][1200/1281] lr: 1.779e-04, eta: 1:12:01, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2023-12-24 05:45:03,480 - pyskl - INFO - Saving checkpoint at 142 epochs +2023-12-24 05:46:20,437 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 05:46:20,504 - pyskl - INFO - +top1_acc 0.9434 +top5_acc 0.9973 +2023-12-24 05:46:20,504 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 05:46:20,512 - pyskl - INFO - +mean_acc 0.9218 +2023-12-24 05:46:20,514 - pyskl - INFO - Epoch(val) [142][533] top1_acc: 0.9434, top5_acc: 0.9973, mean_class_accuracy: 0.9218 +2023-12-24 05:47:22,241 - pyskl - INFO - Epoch [143][100/1281] lr: 1.717e-04, eta: 1:10:45, time: 0.617, data_time: 0.192, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 05:48:05,690 - pyskl - INFO - Epoch [143][200/1281] lr: 1.683e-04, eta: 1:10:03, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 05:48:49,604 - pyskl - INFO - Epoch [143][300/1281] lr: 1.650e-04, eta: 1:09:21, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 +2023-12-24 05:49:33,620 - pyskl - INFO - Epoch [143][400/1281] lr: 1.617e-04, eta: 1:08:39, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2023-12-24 05:50:17,055 - pyskl - INFO - Epoch [143][500/1281] lr: 1.585e-04, eta: 1:07:58, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2023-12-24 05:50:59,837 - pyskl - INFO - Epoch [143][600/1281] lr: 1.552e-04, eta: 1:07:16, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 05:51:42,520 - pyskl - INFO - Epoch [143][700/1281] lr: 1.520e-04, eta: 1:06:34, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2023-12-24 05:52:25,258 - pyskl - INFO - Epoch [143][800/1281] lr: 1.489e-04, eta: 1:05:52, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2023-12-24 05:53:08,148 - pyskl - INFO - Epoch [143][900/1281] lr: 1.457e-04, eta: 1:05:11, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2023-12-24 05:53:51,149 - pyskl - INFO - Epoch [143][1000/1281] lr: 1.426e-04, eta: 1:04:29, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2023-12-24 05:54:34,141 - pyskl - INFO - Epoch [143][1100/1281] lr: 1.396e-04, eta: 1:03:47, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2023-12-24 05:55:17,001 - pyskl - INFO - Epoch [143][1200/1281] lr: 1.366e-04, eta: 1:03:05, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2023-12-24 05:55:52,051 - pyskl - INFO - Saving checkpoint at 143 epochs +2023-12-24 05:57:08,600 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 05:57:08,674 - pyskl - INFO - +top1_acc 0.9420 +top5_acc 0.9977 +2023-12-24 05:57:08,675 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 05:57:08,683 - pyskl - INFO - +mean_acc 0.9218 +2023-12-24 05:57:08,686 - pyskl - INFO - Epoch(val) [143][533] top1_acc: 0.9420, top5_acc: 0.9977, mean_class_accuracy: 0.9218 +2023-12-24 05:58:10,819 - pyskl - INFO - Epoch [144][100/1281] lr: 1.312e-04, eta: 1:01:49, time: 0.621, data_time: 0.192, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0290, loss: 0.0290 +2023-12-24 05:58:54,855 - pyskl - INFO - Epoch [144][200/1281] lr: 1.282e-04, eta: 1:01:07, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2023-12-24 05:59:38,431 - pyskl - INFO - Epoch [144][300/1281] lr: 1.253e-04, eta: 1:00:25, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2023-12-24 06:00:22,124 - pyskl - INFO - Epoch [144][400/1281] lr: 1.224e-04, eta: 0:59:44, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2023-12-24 06:01:06,124 - pyskl - INFO - Epoch [144][500/1281] lr: 1.196e-04, eta: 0:59:02, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 +2023-12-24 06:01:49,850 - pyskl - INFO - Epoch [144][600/1281] lr: 1.168e-04, eta: 0:58:20, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2023-12-24 06:02:32,809 - pyskl - INFO - Epoch [144][700/1281] lr: 1.140e-04, eta: 0:57:38, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2023-12-24 06:03:15,511 - pyskl - INFO - Epoch [144][800/1281] lr: 1.113e-04, eta: 0:56:56, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 +2023-12-24 06:03:58,212 - pyskl - INFO - Epoch [144][900/1281] lr: 1.086e-04, eta: 0:56:15, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0244, loss: 0.0244 +2023-12-24 06:04:41,191 - pyskl - INFO - Epoch [144][1000/1281] lr: 1.059e-04, eta: 0:55:33, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2023-12-24 06:05:24,180 - pyskl - INFO - Epoch [144][1100/1281] lr: 1.033e-04, eta: 0:54:51, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2023-12-24 06:06:07,692 - pyskl - INFO - Epoch [144][1200/1281] lr: 1.007e-04, eta: 0:54:09, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2023-12-24 06:06:43,778 - pyskl - INFO - Saving checkpoint at 144 epochs +2023-12-24 06:07:58,172 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 06:07:58,250 - pyskl - INFO - +top1_acc 0.9431 +top5_acc 0.9973 +2023-12-24 06:07:58,250 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 06:07:58,275 - pyskl - INFO - +mean_acc 0.9205 +2023-12-24 06:07:58,287 - pyskl - INFO - Epoch(val) [144][533] top1_acc: 0.9431, top5_acc: 0.9973, mean_class_accuracy: 0.9205 +2023-12-24 06:09:02,047 - pyskl - INFO - Epoch [145][100/1281] lr: 9.605e-05, eta: 0:52:53, time: 0.638, data_time: 0.202, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2023-12-24 06:09:45,961 - pyskl - INFO - Epoch [145][200/1281] lr: 9.353e-05, eta: 0:52:11, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2023-12-24 06:10:30,042 - pyskl - INFO - Epoch [145][300/1281] lr: 9.106e-05, eta: 0:51:30, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 06:11:13,612 - pyskl - INFO - Epoch [145][400/1281] lr: 8.861e-05, eta: 0:50:48, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 +2023-12-24 06:11:57,483 - pyskl - INFO - Epoch [145][500/1281] lr: 8.620e-05, eta: 0:50:06, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2023-12-24 06:12:41,455 - pyskl - INFO - Epoch [145][600/1281] lr: 8.382e-05, eta: 0:49:24, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2023-12-24 06:13:25,415 - pyskl - INFO - Epoch [145][700/1281] lr: 8.147e-05, eta: 0:48:43, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2023-12-24 06:14:09,488 - pyskl - INFO - Epoch [145][800/1281] lr: 7.916e-05, eta: 0:48:01, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2023-12-24 06:14:53,165 - pyskl - INFO - Epoch [145][900/1281] lr: 7.688e-05, eta: 0:47:19, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2023-12-24 06:15:36,795 - pyskl - INFO - Epoch [145][1000/1281] lr: 7.463e-05, eta: 0:46:37, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2023-12-24 06:16:19,838 - pyskl - INFO - Epoch [145][1100/1281] lr: 7.242e-05, eta: 0:45:55, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2023-12-24 06:17:02,740 - pyskl - INFO - Epoch [145][1200/1281] lr: 7.024e-05, eta: 0:45:14, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 06:17:38,257 - pyskl - INFO - Saving checkpoint at 145 epochs +2023-12-24 06:18:53,941 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 06:18:54,004 - pyskl - INFO - +top1_acc 0.9428 +top5_acc 0.9973 +2023-12-24 06:18:54,004 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 06:18:54,013 - pyskl - INFO - +mean_acc 0.9217 +2023-12-24 06:18:54,016 - pyskl - INFO - Epoch(val) [145][533] top1_acc: 0.9428, top5_acc: 0.9973, mean_class_accuracy: 0.9217 +2023-12-24 06:19:53,074 - pyskl - INFO - Epoch [146][100/1281] lr: 6.638e-05, eta: 0:43:57, time: 0.591, data_time: 0.175, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2023-12-24 06:20:37,161 - pyskl - INFO - Epoch [146][200/1281] lr: 6.429e-05, eta: 0:43:16, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 06:21:21,192 - pyskl - INFO - Epoch [146][300/1281] lr: 6.224e-05, eta: 0:42:34, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2023-12-24 06:22:05,175 - pyskl - INFO - Epoch [146][400/1281] lr: 6.022e-05, eta: 0:41:52, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2023-12-24 06:22:48,603 - pyskl - INFO - Epoch [146][500/1281] lr: 5.823e-05, eta: 0:41:10, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2023-12-24 06:23:32,564 - pyskl - INFO - Epoch [146][600/1281] lr: 5.628e-05, eta: 0:40:28, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2023-12-24 06:24:16,677 - pyskl - INFO - Epoch [146][700/1281] lr: 5.436e-05, eta: 0:39:47, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2023-12-24 06:25:00,715 - pyskl - INFO - Epoch [146][800/1281] lr: 5.247e-05, eta: 0:39:05, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2023-12-24 06:25:44,685 - pyskl - INFO - Epoch [146][900/1281] lr: 5.061e-05, eta: 0:38:23, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2023-12-24 06:26:28,186 - pyskl - INFO - Epoch [146][1000/1281] lr: 4.879e-05, eta: 0:37:41, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2023-12-24 06:27:12,140 - pyskl - INFO - Epoch [146][1100/1281] lr: 4.701e-05, eta: 0:37:00, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2023-12-24 06:27:56,128 - pyskl - INFO - Epoch [146][1200/1281] lr: 4.525e-05, eta: 0:36:18, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 06:28:31,946 - pyskl - INFO - Saving checkpoint at 146 epochs +2023-12-24 06:29:46,724 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 06:29:46,785 - pyskl - INFO - +top1_acc 0.9444 +top5_acc 0.9969 +2023-12-24 06:29:46,785 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 06:29:46,798 - pyskl - INFO - +mean_acc 0.9220 +2023-12-24 06:29:46,802 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_138.pth was removed +2023-12-24 06:29:47,021 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_146.pth. +2023-12-24 06:29:47,022 - pyskl - INFO - Best top1_acc is 0.9444 at 146 epoch. +2023-12-24 06:29:47,028 - pyskl - INFO - Epoch(val) [146][533] top1_acc: 0.9444, top5_acc: 0.9969, mean_class_accuracy: 0.9220 +2023-12-24 06:30:45,087 - pyskl - INFO - Epoch [147][100/1281] lr: 4.216e-05, eta: 0:35:02, time: 0.581, data_time: 0.178, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 06:31:28,123 - pyskl - INFO - Epoch [147][200/1281] lr: 4.050e-05, eta: 0:34:20, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 +2023-12-24 06:32:11,214 - pyskl - INFO - Epoch [147][300/1281] lr: 3.887e-05, eta: 0:33:38, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2023-12-24 06:32:54,239 - pyskl - INFO - Epoch [147][400/1281] lr: 3.728e-05, eta: 0:32:56, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2023-12-24 06:33:37,025 - pyskl - INFO - Epoch [147][500/1281] lr: 3.572e-05, eta: 0:32:14, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2023-12-24 06:34:19,772 - pyskl - INFO - Epoch [147][600/1281] lr: 3.419e-05, eta: 0:31:32, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2023-12-24 06:35:02,878 - pyskl - INFO - Epoch [147][700/1281] lr: 3.270e-05, eta: 0:30:51, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 06:35:46,011 - pyskl - INFO - Epoch [147][800/1281] lr: 3.124e-05, eta: 0:30:09, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 06:36:29,763 - pyskl - INFO - Epoch [147][900/1281] lr: 2.981e-05, eta: 0:29:27, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2023-12-24 06:37:13,636 - pyskl - INFO - Epoch [147][1000/1281] lr: 2.842e-05, eta: 0:28:45, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2023-12-24 06:37:57,322 - pyskl - INFO - Epoch [147][1100/1281] lr: 2.706e-05, eta: 0:28:03, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2023-12-24 06:38:41,406 - pyskl - INFO - Epoch [147][1200/1281] lr: 2.573e-05, eta: 0:27:22, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0239, loss: 0.0239 +2023-12-24 06:39:17,734 - pyskl - INFO - Saving checkpoint at 147 epochs +2023-12-24 06:40:31,278 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 06:40:31,342 - pyskl - INFO - +top1_acc 0.9428 +top5_acc 0.9973 +2023-12-24 06:40:31,342 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 06:40:31,352 - pyskl - INFO - +mean_acc 0.9218 +2023-12-24 06:40:31,355 - pyskl - INFO - Epoch(val) [147][533] top1_acc: 0.9428, top5_acc: 0.9973, mean_class_accuracy: 0.9218 +2023-12-24 06:41:28,333 - pyskl - INFO - Epoch [148][100/1281] lr: 2.341e-05, eta: 0:26:06, time: 0.570, data_time: 0.176, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2023-12-24 06:42:12,352 - pyskl - INFO - Epoch [148][200/1281] lr: 2.218e-05, eta: 0:25:24, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2023-12-24 06:42:56,334 - pyskl - INFO - Epoch [148][300/1281] lr: 2.098e-05, eta: 0:24:42, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 06:43:40,441 - pyskl - INFO - Epoch [148][400/1281] lr: 1.981e-05, eta: 0:24:00, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2023-12-24 06:44:24,269 - pyskl - INFO - Epoch [148][500/1281] lr: 1.868e-05, eta: 0:23:18, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2023-12-24 06:45:07,747 - pyskl - INFO - Epoch [148][600/1281] lr: 1.758e-05, eta: 0:22:36, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 06:45:51,749 - pyskl - INFO - Epoch [148][700/1281] lr: 1.651e-05, eta: 0:21:55, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2023-12-24 06:46:35,616 - pyskl - INFO - Epoch [148][800/1281] lr: 1.548e-05, eta: 0:21:13, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2023-12-24 06:47:19,863 - pyskl - INFO - Epoch [148][900/1281] lr: 1.448e-05, eta: 0:20:31, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2023-12-24 06:48:03,955 - pyskl - INFO - Epoch [148][1000/1281] lr: 1.351e-05, eta: 0:19:49, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 06:48:47,513 - pyskl - INFO - Epoch [148][1100/1281] lr: 1.258e-05, eta: 0:19:07, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2023-12-24 06:49:31,295 - pyskl - INFO - Epoch [148][1200/1281] lr: 1.168e-05, eta: 0:18:26, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2023-12-24 06:50:07,559 - pyskl - INFO - Saving checkpoint at 148 epochs +2023-12-24 06:51:20,987 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 06:51:21,045 - pyskl - INFO - +top1_acc 0.9437 +top5_acc 0.9971 +2023-12-24 06:51:21,045 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 06:51:21,052 - pyskl - INFO - +mean_acc 0.9231 +2023-12-24 06:51:21,054 - pyskl - INFO - Epoch(val) [148][533] top1_acc: 0.9437, top5_acc: 0.9971, mean_class_accuracy: 0.9231 +2023-12-24 06:52:19,474 - pyskl - INFO - Epoch [149][100/1281] lr: 1.013e-05, eta: 0:17:10, time: 0.584, data_time: 0.194, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2023-12-24 06:53:03,386 - pyskl - INFO - Epoch [149][200/1281] lr: 9.328e-06, eta: 0:16:28, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2023-12-24 06:53:47,505 - pyskl - INFO - Epoch [149][300/1281] lr: 8.555e-06, eta: 0:15:46, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0241, loss: 0.0241 +2023-12-24 06:54:31,468 - pyskl - INFO - Epoch [149][400/1281] lr: 7.816e-06, eta: 0:15:04, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2023-12-24 06:55:15,461 - pyskl - INFO - Epoch [149][500/1281] lr: 7.110e-06, eta: 0:14:22, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2023-12-24 06:55:59,052 - pyskl - INFO - Epoch [149][600/1281] lr: 6.437e-06, eta: 0:13:41, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2023-12-24 06:56:42,933 - pyskl - INFO - Epoch [149][700/1281] lr: 5.798e-06, eta: 0:12:59, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 06:57:27,025 - pyskl - INFO - Epoch [149][800/1281] lr: 5.192e-06, eta: 0:12:17, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2023-12-24 06:58:11,081 - pyskl - INFO - Epoch [149][900/1281] lr: 4.620e-06, eta: 0:11:35, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2023-12-24 06:58:55,054 - pyskl - INFO - Epoch [149][1000/1281] lr: 4.081e-06, eta: 0:10:53, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2023-12-24 06:59:38,536 - pyskl - INFO - Epoch [149][1100/1281] lr: 3.576e-06, eta: 0:10:11, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 +2023-12-24 07:00:22,429 - pyskl - INFO - Epoch [149][1200/1281] lr: 3.104e-06, eta: 0:09:30, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2023-12-24 07:00:59,419 - pyskl - INFO - Saving checkpoint at 149 epochs +2023-12-24 07:02:14,748 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 07:02:14,809 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9973 +2023-12-24 07:02:14,809 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 07:02:14,821 - pyskl - INFO - +mean_acc 0.9222 +2023-12-24 07:02:14,824 - pyskl - INFO - Epoch(val) [149][533] top1_acc: 0.9427, top5_acc: 0.9973, mean_class_accuracy: 0.9222 +2023-12-24 07:03:15,836 - pyskl - INFO - Epoch [150][100/1281] lr: 2.334e-06, eta: 0:08:14, time: 0.610, data_time: 0.228, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2023-12-24 07:03:58,683 - pyskl - INFO - Epoch [150][200/1281] lr: 1.956e-06, eta: 0:07:32, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 +2023-12-24 07:04:41,697 - pyskl - INFO - Epoch [150][300/1281] lr: 1.611e-06, eta: 0:06:50, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2023-12-24 07:05:24,652 - pyskl - INFO - Epoch [150][400/1281] lr: 1.300e-06, eta: 0:06:08, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2023-12-24 07:06:07,990 - pyskl - INFO - Epoch [150][500/1281] lr: 1.022e-06, eta: 0:05:26, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2023-12-24 07:06:51,977 - pyskl - INFO - Epoch [150][600/1281] lr: 7.771e-07, eta: 0:04:44, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2023-12-24 07:07:36,853 - pyskl - INFO - Epoch [150][700/1281] lr: 5.659e-07, eta: 0:04:03, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2023-12-24 07:08:21,456 - pyskl - INFO - Epoch [150][800/1281] lr: 3.881e-07, eta: 0:03:21, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2023-12-24 07:09:06,020 - pyskl - INFO - Epoch [150][900/1281] lr: 2.438e-07, eta: 0:02:39, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2023-12-24 07:09:50,092 - pyskl - INFO - Epoch [150][1000/1281] lr: 1.329e-07, eta: 0:01:57, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2023-12-24 07:10:34,517 - pyskl - INFO - Epoch [150][1100/1281] lr: 5.534e-08, eta: 0:01:15, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2023-12-24 07:11:19,430 - pyskl - INFO - Epoch [150][1200/1281] lr: 1.123e-08, eta: 0:00:33, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2023-12-24 07:11:56,477 - pyskl - INFO - Saving checkpoint at 150 epochs +2023-12-24 07:13:09,809 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 07:13:09,870 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9974 +2023-12-24 07:13:09,870 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 07:13:09,878 - pyskl - INFO - +mean_acc 0.9216 +2023-12-24 07:13:09,880 - pyskl - INFO - Epoch(val) [150][533] top1_acc: 0.9427, top5_acc: 0.9974, mean_class_accuracy: 0.9216 +2023-12-24 07:13:14,901 - pyskl - INFO - 8521 videos remain after valid thresholding +2023-12-24 07:24:07,128 - pyskl - INFO - Testing results of the last checkpoint +2023-12-24 07:24:07,129 - pyskl - INFO - top1_acc: 0.9424 +2023-12-24 07:24:07,129 - pyskl - INFO - top5_acc: 0.9977 +2023-12-24 07:24:07,129 - pyskl - INFO - mean_class_accuracy: 0.9213 +2023-12-24 07:24:07,130 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/finegym/k_2/best_top1_acc_epoch_146.pth +2023-12-24 07:35:06,274 - pyskl - INFO - Testing results of the best checkpoint +2023-12-24 07:35:06,274 - pyskl - INFO - top1_acc: 0.9434 +2023-12-24 07:35:06,274 - pyskl - INFO - top5_acc: 0.9975 +2023-12-24 07:35:06,274 - pyskl - INFO - mean_class_accuracy: 0.9210