diff --git "a/finegym/j_1/20231211_012214.log" "b/finegym/j_1/20231211_012214.log" new file mode 100644--- /dev/null +++ "b/finegym/j_1/20231211_012214.log" @@ -0,0 +1,3483 @@ +2023-12-11 01:22:14,098 - 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+ +------------------------------------------------------------ + +2023-12-11 01:22:14,427 - pyskl - INFO - Config: modality = 'j' +graph = 'coco_new' +work_dir = './work_dirs/test_prototype/finegym/j_1' +model = dict( + type='RecognizerGCN_7_1_1', + backbone=dict( + type='GCN_7_1_1', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='coco_new', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead_7_4_13', num_classes=99, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/gym/gym_hrnet.pkl' +left_kp = [1, 3, 5, 7, 9, 11, 13, 15] +right_kp = [2, 4, 6, 8, 10, 12, 14, 16] +train_pipeline = [ + dict(type='UniformSampleFrames', clip_len=100), + dict(type='PoseDecode'), + dict( + type='Flip', + flip_ratio=0.5, + left_kp=[1, 3, 5, 7, 9, 11, 13, 15], + right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['j']), + 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=['j']), + 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=['j']), + 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=['j']), + 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=['j']), + 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=['j']), + 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) + +2023-12-11 01:22:14,427 - pyskl - INFO - Set random seed to 811155093, deterministic: False +2023-12-11 01:22:15,956 - pyskl - INFO - 20484 videos remain after valid thresholding +2023-12-11 01:22:22,359 - pyskl - INFO - 8521 videos remain after valid thresholding +2023-12-11 01:22:22,360 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1 +2023-12-11 01:22:22,360 - 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 + -------------------- +2023-12-11 01:22:22,361 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2023-12-11 01:22:22,361 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1 by HardDiskBackend. +2023-12-11 01:23:23,605 - pyskl - INFO - Epoch [1][100/1281] lr: 2.500e-02, eta: 1 day, 8:40:09, time: 0.612, data_time: 0.173, memory: 4120, top1_acc: 0.0531, top5_acc: 0.2338, loss_cls: 7.0136, loss: 7.0136 +2023-12-11 01:24:06,913 - pyskl - INFO - Epoch [1][200/1281] lr: 2.500e-02, eta: 1 day, 3:52:15, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.0856, top5_acc: 0.3106, loss_cls: 7.1179, loss: 7.1179 +2023-12-11 01:24:51,184 - pyskl - INFO - Epoch [1][300/1281] lr: 2.500e-02, eta: 1 day, 2:26:07, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.0881, top5_acc: 0.2938, loss_cls: 7.9990, loss: 7.9990 +2023-12-11 01:25:36,369 - pyskl - INFO - Epoch [1][400/1281] lr: 2.500e-02, eta: 1 day, 1:49:57, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.1081, top5_acc: 0.3919, loss_cls: 7.7117, loss: 7.7117 +2023-12-11 01:26:20,005 - pyskl - INFO - Epoch [1][500/1281] lr: 2.500e-02, eta: 1 day, 1:18:04, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.1356, top5_acc: 0.4225, loss_cls: 7.2626, loss: 7.2626 +2023-12-11 01:27:02,526 - pyskl - INFO - Epoch [1][600/1281] lr: 2.500e-02, eta: 1 day, 0:50:38, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.1600, top5_acc: 0.4819, loss_cls: 6.9881, loss: 6.9881 +2023-12-11 01:27:45,355 - pyskl - INFO - Epoch [1][700/1281] lr: 2.500e-02, eta: 1 day, 0:32:15, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.1931, top5_acc: 0.5250, loss_cls: 6.7387, loss: 6.7387 +2023-12-11 01:28:27,902 - pyskl - INFO - Epoch [1][800/1281] lr: 2.500e-02, eta: 1 day, 0:17:09, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.2106, top5_acc: 0.5725, loss_cls: 6.5751, loss: 6.5751 +2023-12-11 01:29:09,739 - pyskl - INFO - Epoch [1][900/1281] lr: 2.500e-02, eta: 1 day, 0:02:44, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.2487, top5_acc: 0.5813, loss_cls: 6.2706, loss: 6.2706 +2023-12-11 01:29:35,883 - pyskl - INFO - Epoch [1][1000/1281] lr: 2.500e-02, eta: 23:01:04, time: 0.261, data_time: 0.000, memory: 4120, top1_acc: 0.2737, top5_acc: 0.6388, loss_cls: 6.0923, loss: 6.0923 +2023-12-11 01:30:20,975 - pyskl - INFO - Epoch [1][1100/1281] lr: 2.500e-02, eta: 23:05:23, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.2869, top5_acc: 0.6600, loss_cls: 5.9051, loss: 5.9051 +2023-12-11 01:30:43,884 - pyskl - INFO - Epoch [1][1200/1281] lr: 2.500e-02, eta: 22:10:02, time: 0.229, data_time: 0.000, memory: 4120, top1_acc: 0.3312, top5_acc: 0.7044, loss_cls: 5.5428, loss: 5.5428 +2023-12-11 01:31:18,141 - pyskl - INFO - Saving checkpoint at 1 epochs +2023-12-11 01:32:36,851 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 01:32:36,911 - pyskl - INFO - +top1_acc 0.3290 +top5_acc 0.6979 +2023-12-11 01:32:36,912 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 01:32:36,919 - pyskl - INFO - +mean_acc 0.1510 +2023-12-11 01:32:37,200 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2023-12-11 01:32:37,201 - pyskl - INFO - Best top1_acc is 0.3290 at 1 epoch. +2023-12-11 01:32:37,212 - pyskl - INFO - Epoch(val) [1][533] top1_acc: 0.3290, top5_acc: 0.6979, mean_class_accuracy: 0.1510 +2023-12-11 01:33:39,727 - pyskl - INFO - Epoch [2][100/1281] lr: 2.500e-02, eta: 21:38:31, time: 0.625, data_time: 0.190, memory: 4120, top1_acc: 0.3600, top5_acc: 0.7350, loss_cls: 5.3336, loss: 5.3336 +2023-12-11 01:34:22,972 - pyskl - INFO - Epoch [2][200/1281] lr: 2.500e-02, eta: 21:43:00, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.3850, top5_acc: 0.7819, loss_cls: 5.1115, loss: 5.1115 +2023-12-11 01:35:06,393 - pyskl - INFO - Epoch [2][300/1281] lr: 2.500e-02, eta: 21:47:10, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.4131, top5_acc: 0.7887, loss_cls: 5.0343, loss: 5.0343 +2023-12-11 01:35:49,767 - pyskl - INFO - Epoch [2][400/1281] lr: 2.500e-02, eta: 21:50:40, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.4300, top5_acc: 0.7956, loss_cls: 4.9662, loss: 4.9662 +2023-12-11 01:36:33,291 - pyskl - INFO - Epoch [2][500/1281] lr: 2.499e-02, eta: 21:53:58, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.4412, top5_acc: 0.8119, loss_cls: 4.8436, loss: 4.8436 +2023-12-11 01:37:16,709 - pyskl - INFO - Epoch [2][600/1281] lr: 2.499e-02, eta: 21:56:39, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.4450, top5_acc: 0.8275, loss_cls: 4.8338, loss: 4.8338 +2023-12-11 01:38:00,530 - pyskl - INFO - Epoch [2][700/1281] lr: 2.499e-02, eta: 21:59:38, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.4575, top5_acc: 0.8325, loss_cls: 4.7152, loss: 4.7152 +2023-12-11 01:38:44,538 - pyskl - INFO - Epoch [2][800/1281] lr: 2.499e-02, eta: 22:02:33, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.4556, top5_acc: 0.8581, loss_cls: 4.6316, loss: 4.6316 +2023-12-11 01:39:25,182 - pyskl - INFO - Epoch [2][900/1281] lr: 2.499e-02, eta: 22:00:15, time: 0.406, data_time: 0.000, memory: 4120, top1_acc: 0.4481, top5_acc: 0.8425, loss_cls: 4.6891, loss: 4.6891 +2023-12-11 01:39:55,371 - pyskl - INFO - Epoch [2][1000/1281] lr: 2.499e-02, eta: 21:43:35, time: 0.302, data_time: 0.001, memory: 4120, top1_acc: 0.4900, top5_acc: 0.8619, loss_cls: 4.4887, loss: 4.4887 +2023-12-11 01:40:38,316 - pyskl - INFO - Epoch [2][1100/1281] lr: 2.499e-02, eta: 21:45:13, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.4763, top5_acc: 0.8600, loss_cls: 4.5414, loss: 4.5414 +2023-12-11 01:41:04,069 - pyskl - INFO - Epoch [2][1200/1281] lr: 2.499e-02, eta: 21:24:46, time: 0.258, data_time: 0.000, memory: 4120, top1_acc: 0.4813, top5_acc: 0.8788, loss_cls: 4.4676, loss: 4.4676 +2023-12-11 01:41:39,727 - pyskl - INFO - Saving checkpoint at 2 epochs +2023-12-11 01:42:52,781 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 01:42:52,834 - pyskl - INFO - +top1_acc 0.5051 +top5_acc 0.8795 +2023-12-11 01:42:52,834 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 01:42:52,841 - pyskl - INFO - +mean_acc 0.3120 +2023-12-11 01:42:52,845 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_1.pth was removed +2023-12-11 01:42:53,041 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2023-12-11 01:42:53,041 - pyskl - INFO - Best top1_acc is 0.5051 at 2 epoch. +2023-12-11 01:42:53,044 - pyskl - INFO - Epoch(val) [2][533] top1_acc: 0.5051, top5_acc: 0.8795, mean_class_accuracy: 0.3120 +2023-12-11 01:43:54,521 - pyskl - INFO - Epoch [3][100/1281] lr: 2.499e-02, eta: 21:09:12, time: 0.615, data_time: 0.180, memory: 4120, top1_acc: 0.5100, top5_acc: 0.8775, loss_cls: 4.3657, loss: 4.3657 +2023-12-11 01:44:37,954 - pyskl - INFO - Epoch [3][200/1281] lr: 2.499e-02, eta: 21:12:14, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.5281, top5_acc: 0.8981, loss_cls: 4.1934, loss: 4.1934 +2023-12-11 01:45:21,384 - pyskl - INFO - Epoch [3][300/1281] lr: 2.499e-02, eta: 21:15:00, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.5219, top5_acc: 0.8856, loss_cls: 4.2236, loss: 4.2236 +2023-12-11 01:46:05,264 - pyskl - INFO - Epoch [3][400/1281] lr: 2.499e-02, eta: 21:18:01, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.5200, top5_acc: 0.9075, loss_cls: 4.2456, loss: 4.2456 +2023-12-11 01:46:48,680 - pyskl - INFO - Epoch [3][500/1281] lr: 2.498e-02, eta: 21:20:18, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.5375, top5_acc: 0.9106, loss_cls: 4.1706, loss: 4.1706 +2023-12-11 01:47:32,303 - pyskl - INFO - Epoch [3][600/1281] lr: 2.498e-02, eta: 21:22:37, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.5394, top5_acc: 0.9131, loss_cls: 4.1549, loss: 4.1549 +2023-12-11 01:48:15,953 - pyskl - INFO - Epoch [3][700/1281] lr: 2.498e-02, eta: 21:24:46, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.5675, top5_acc: 0.9119, loss_cls: 4.0937, loss: 4.0937 +2023-12-11 01:48:58,386 - pyskl - INFO - Epoch [3][800/1281] lr: 2.498e-02, eta: 21:25:36, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.5394, top5_acc: 0.9012, loss_cls: 4.1240, loss: 4.1240 +2023-12-11 01:49:36,417 - pyskl - INFO - Epoch [3][900/1281] lr: 2.498e-02, eta: 21:22:21, time: 0.380, data_time: 0.000, memory: 4120, top1_acc: 0.5569, top5_acc: 0.9119, loss_cls: 4.0853, loss: 4.0853 +2023-12-11 01:50:06,305 - pyskl - INFO - Epoch [3][1000/1281] lr: 2.498e-02, eta: 21:12:04, time: 0.299, data_time: 0.000, memory: 4120, top1_acc: 0.5713, top5_acc: 0.9175, loss_cls: 3.9707, loss: 3.9707 +2023-12-11 01:50:48,379 - pyskl - INFO - Epoch [3][1100/1281] lr: 2.498e-02, eta: 21:12:46, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.5619, top5_acc: 0.9231, loss_cls: 3.9344, loss: 3.9344 +2023-12-11 01:51:13,233 - pyskl - INFO - Epoch [3][1200/1281] lr: 2.498e-02, eta: 20:59:01, time: 0.249, data_time: 0.001, memory: 4120, top1_acc: 0.5800, top5_acc: 0.9213, loss_cls: 3.7332, loss: 3.7332 +2023-12-11 01:51:49,971 - pyskl - INFO - Saving checkpoint at 3 epochs +2023-12-11 01:53:05,457 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 01:53:05,529 - pyskl - INFO - +top1_acc 0.5314 +top5_acc 0.9149 +2023-12-11 01:53:05,529 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 01:53:05,541 - pyskl - INFO - +mean_acc 0.3332 +2023-12-11 01:53:05,548 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_2.pth was removed +2023-12-11 01:53:05,819 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2023-12-11 01:53:05,820 - pyskl - INFO - Best top1_acc is 0.5314 at 3 epoch. +2023-12-11 01:53:05,825 - pyskl - INFO - Epoch(val) [3][533] top1_acc: 0.5314, top5_acc: 0.9149, mean_class_accuracy: 0.3332 +2023-12-11 01:54:14,896 - pyskl - INFO - Epoch [4][100/1281] lr: 2.497e-02, eta: 20:55:00, time: 0.691, data_time: 0.239, memory: 4120, top1_acc: 0.5706, top5_acc: 0.9175, loss_cls: 3.4422, loss: 3.4422 +2023-12-11 01:54:59,560 - pyskl - INFO - Epoch [4][200/1281] lr: 2.497e-02, eta: 20:57:57, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.5956, top5_acc: 0.9431, loss_cls: 3.2166, loss: 3.2166 +2023-12-11 01:55:43,467 - pyskl - INFO - Epoch [4][300/1281] lr: 2.497e-02, eta: 21:00:08, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.5913, top5_acc: 0.9456, loss_cls: 3.2133, loss: 3.2133 +2023-12-11 01:56:26,803 - pyskl - INFO - Epoch [4][400/1281] lr: 2.497e-02, eta: 21:01:46, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.5825, top5_acc: 0.9300, loss_cls: 3.3012, loss: 3.3012 +2023-12-11 01:57:10,071 - pyskl - INFO - Epoch [4][500/1281] lr: 2.497e-02, eta: 21:03:14, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.6106, top5_acc: 0.9394, loss_cls: 3.1352, loss: 3.1352 +2023-12-11 01:57:53,076 - pyskl - INFO - Epoch [4][600/1281] lr: 2.497e-02, eta: 21:04:26, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.5975, top5_acc: 0.9350, loss_cls: 3.1924, loss: 3.1924 +2023-12-11 01:58:36,116 - pyskl - INFO - Epoch [4][700/1281] lr: 2.497e-02, eta: 21:05:34, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.6050, top5_acc: 0.9444, loss_cls: 3.1369, loss: 3.1369 +2023-12-11 01:59:19,610 - pyskl - INFO - Epoch [4][800/1281] lr: 2.496e-02, eta: 21:06:55, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.6031, top5_acc: 0.9381, loss_cls: 3.1475, loss: 3.1475 +2023-12-11 01:59:53,837 - pyskl - INFO - Epoch [4][900/1281] lr: 2.496e-02, eta: 21:02:05, time: 0.342, data_time: 0.000, memory: 4120, top1_acc: 0.5900, top5_acc: 0.9400, loss_cls: 3.1808, loss: 3.1808 +2023-12-11 02:00:25,469 - pyskl - INFO - Epoch [4][1000/1281] lr: 2.496e-02, eta: 20:55:45, time: 0.316, data_time: 0.001, memory: 4120, top1_acc: 0.6069, top5_acc: 0.9356, loss_cls: 3.1312, loss: 3.1312 +2023-12-11 02:01:06,182 - pyskl - INFO - Epoch [4][1100/1281] lr: 2.496e-02, eta: 20:55:24, time: 0.407, data_time: 0.001, memory: 4120, top1_acc: 0.5925, top5_acc: 0.9337, loss_cls: 3.1877, loss: 3.1877 +2023-12-11 02:01:29,784 - pyskl - INFO - Epoch [4][1200/1281] lr: 2.496e-02, eta: 20:44:26, time: 0.236, data_time: 0.001, memory: 4120, top1_acc: 0.6031, top5_acc: 0.9550, loss_cls: 3.0852, loss: 3.0852 +2023-12-11 02:02:05,458 - pyskl - INFO - Saving checkpoint at 4 epochs +2023-12-11 02:03:27,144 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 02:03:27,208 - pyskl - INFO - +top1_acc 0.6120 +top5_acc 0.9441 +2023-12-11 02:03:27,209 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 02:03:27,231 - pyskl - INFO - +mean_acc 0.4397 +2023-12-11 02:03:27,256 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_3.pth was removed +2023-12-11 02:03:27,540 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2023-12-11 02:03:27,541 - pyskl - INFO - Best top1_acc is 0.6120 at 4 epoch. +2023-12-11 02:03:27,545 - pyskl - INFO - Epoch(val) [4][533] top1_acc: 0.6120, top5_acc: 0.9441, mean_class_accuracy: 0.4397 +2023-12-11 02:04:33,549 - pyskl - INFO - Epoch [5][100/1281] lr: 2.495e-02, eta: 20:39:31, time: 0.660, data_time: 0.220, memory: 4120, top1_acc: 0.6088, top5_acc: 0.9444, loss_cls: 3.1111, loss: 3.1111 +2023-12-11 02:05:17,217 - pyskl - INFO - Epoch [5][200/1281] lr: 2.495e-02, eta: 20:41:07, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.6550, top5_acc: 0.9613, loss_cls: 2.9292, loss: 2.9292 +2023-12-11 02:06:01,172 - pyskl - INFO - Epoch [5][300/1281] lr: 2.495e-02, eta: 20:42:48, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.6175, top5_acc: 0.9544, loss_cls: 3.0510, loss: 3.0510 +2023-12-11 02:06:44,313 - pyskl - INFO - Epoch [5][400/1281] lr: 2.495e-02, eta: 20:43:57, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.6444, top5_acc: 0.9506, loss_cls: 2.9615, loss: 2.9615 +2023-12-11 02:07:27,181 - pyskl - INFO - Epoch [5][500/1281] lr: 2.495e-02, eta: 20:44:52, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.6306, top5_acc: 0.9563, loss_cls: 3.0059, loss: 3.0059 +2023-12-11 02:08:09,672 - pyskl - INFO - Epoch [5][600/1281] lr: 2.495e-02, eta: 20:45:32, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.6338, top5_acc: 0.9569, loss_cls: 2.9965, loss: 2.9965 +2023-12-11 02:08:52,620 - pyskl - INFO - Epoch [5][700/1281] lr: 2.494e-02, eta: 20:46:23, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.6344, top5_acc: 0.9537, loss_cls: 3.0163, loss: 3.0163 +2023-12-11 02:09:35,587 - pyskl - INFO - Epoch [5][800/1281] lr: 2.494e-02, eta: 20:47:12, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.6469, top5_acc: 0.9613, loss_cls: 2.9755, loss: 2.9755 +2023-12-11 02:10:08,910 - pyskl - INFO - Epoch [5][900/1281] lr: 2.494e-02, eta: 20:43:00, time: 0.333, data_time: 0.001, memory: 4120, top1_acc: 0.6375, top5_acc: 0.9581, loss_cls: 2.9993, loss: 2.9993 +2023-12-11 02:10:44,256 - pyskl - INFO - Epoch [5][1000/1281] lr: 2.494e-02, eta: 20:39:56, time: 0.353, data_time: 0.001, memory: 4120, top1_acc: 0.6481, top5_acc: 0.9544, loss_cls: 2.9788, loss: 2.9788 +2023-12-11 02:11:23,160 - pyskl - INFO - Epoch [5][1100/1281] lr: 2.494e-02, eta: 20:38:43, time: 0.389, data_time: 0.001, memory: 4120, top1_acc: 0.6375, top5_acc: 0.9456, loss_cls: 2.9729, loss: 2.9729 +2023-12-11 02:11:53,873 - pyskl - INFO - Epoch [5][1200/1281] lr: 2.493e-02, eta: 20:33:31, time: 0.307, data_time: 0.001, memory: 4120, top1_acc: 0.6475, top5_acc: 0.9544, loss_cls: 2.9949, loss: 2.9949 +2023-12-11 02:12:30,832 - pyskl - INFO - Saving checkpoint at 5 epochs +2023-12-11 02:13:50,452 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 02:13:50,513 - pyskl - INFO - +top1_acc 0.6308 +top5_acc 0.9407 +2023-12-11 02:13:50,514 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 02:13:50,521 - pyskl - INFO - +mean_acc 0.4757 +2023-12-11 02:13:50,526 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_4.pth was removed +2023-12-11 02:13:50,723 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2023-12-11 02:13:50,723 - pyskl - INFO - Best top1_acc is 0.6308 at 5 epoch. +2023-12-11 02:13:50,726 - pyskl - INFO - Epoch(val) [5][533] top1_acc: 0.6308, top5_acc: 0.9407, mean_class_accuracy: 0.4757 +2023-12-11 02:14:53,078 - pyskl - INFO - Epoch [6][100/1281] lr: 2.493e-02, eta: 20:27:41, time: 0.623, data_time: 0.192, memory: 4120, top1_acc: 0.6625, top5_acc: 0.9569, loss_cls: 2.9378, loss: 2.9378 +2023-12-11 02:15:36,672 - pyskl - INFO - Epoch [6][200/1281] lr: 2.493e-02, eta: 20:28:51, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.6725, top5_acc: 0.9688, loss_cls: 2.8410, loss: 2.8410 +2023-12-11 02:16:20,243 - pyskl - INFO - Epoch [6][300/1281] lr: 2.492e-02, eta: 20:29:58, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.6494, top5_acc: 0.9581, loss_cls: 2.9134, loss: 2.9134 +2023-12-11 02:17:03,110 - pyskl - INFO - Epoch [6][400/1281] lr: 2.492e-02, eta: 20:30:41, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.6631, top5_acc: 0.9644, loss_cls: 2.8626, loss: 2.8626 +2023-12-11 02:17:46,472 - pyskl - INFO - Epoch [6][500/1281] lr: 2.492e-02, eta: 20:31:36, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.6556, top5_acc: 0.9456, loss_cls: 2.9311, loss: 2.9311 +2023-12-11 02:18:29,361 - pyskl - INFO - Epoch [6][600/1281] lr: 2.492e-02, eta: 20:32:15, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.6956, top5_acc: 0.9669, loss_cls: 2.7755, loss: 2.7755 +2023-12-11 02:19:12,651 - pyskl - INFO - Epoch [6][700/1281] lr: 2.492e-02, eta: 20:33:03, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.6856, top5_acc: 0.9550, loss_cls: 2.8375, loss: 2.8375 +2023-12-11 02:19:56,735 - pyskl - INFO - Epoch [6][800/1281] lr: 2.491e-02, eta: 20:34:08, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.6600, top5_acc: 0.9675, loss_cls: 2.8637, loss: 2.8637 +2023-12-11 02:20:29,829 - pyskl - INFO - Epoch [6][900/1281] lr: 2.491e-02, eta: 20:30:32, time: 0.331, data_time: 0.002, memory: 4120, top1_acc: 0.6694, top5_acc: 0.9619, loss_cls: 2.8455, loss: 2.8455 +2023-12-11 02:21:06,577 - pyskl - INFO - Epoch [6][1000/1281] lr: 2.491e-02, eta: 20:28:33, time: 0.367, data_time: 0.001, memory: 4120, top1_acc: 0.6681, top5_acc: 0.9613, loss_cls: 2.8649, loss: 2.8649 +2023-12-11 02:21:44,416 - pyskl - INFO - Epoch [6][1100/1281] lr: 2.491e-02, eta: 20:27:02, time: 0.378, data_time: 0.001, memory: 4120, top1_acc: 0.6837, top5_acc: 0.9631, loss_cls: 2.8331, loss: 2.8331 +2023-12-11 02:22:14,869 - pyskl - INFO - Epoch [6][1200/1281] lr: 2.490e-02, eta: 20:22:33, time: 0.305, data_time: 0.001, memory: 4120, top1_acc: 0.6650, top5_acc: 0.9613, loss_cls: 2.8408, loss: 2.8408 +2023-12-11 02:22:50,601 - pyskl - INFO - Saving checkpoint at 6 epochs +2023-12-11 02:24:05,053 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 02:24:05,113 - pyskl - INFO - +top1_acc 0.6259 +top5_acc 0.9461 +2023-12-11 02:24:05,113 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 02:24:05,120 - pyskl - INFO - +mean_acc 0.4993 +2023-12-11 02:24:05,122 - pyskl - INFO - Epoch(val) [6][533] top1_acc: 0.6259, top5_acc: 0.9461, mean_class_accuracy: 0.4993 +2023-12-11 02:25:06,441 - pyskl - INFO - Epoch [7][100/1281] lr: 2.490e-02, eta: 20:17:10, time: 0.613, data_time: 0.187, memory: 4120, top1_acc: 0.6894, top5_acc: 0.9706, loss_cls: 2.7517, loss: 2.7517 +2023-12-11 02:25:49,495 - pyskl - INFO - Epoch [7][200/1281] lr: 2.490e-02, eta: 20:17:51, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.6863, top5_acc: 0.9712, loss_cls: 2.7791, loss: 2.7791 +2023-12-11 02:26:33,007 - pyskl - INFO - Epoch [7][300/1281] lr: 2.489e-02, eta: 20:18:40, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.7075, top5_acc: 0.9613, loss_cls: 2.7161, loss: 2.7161 +2023-12-11 02:27:15,709 - pyskl - INFO - Epoch [7][400/1281] lr: 2.489e-02, eta: 20:19:08, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.6987, top5_acc: 0.9644, loss_cls: 2.7819, loss: 2.7819 +2023-12-11 02:27:58,273 - pyskl - INFO - Epoch [7][500/1281] lr: 2.489e-02, eta: 20:19:32, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.6837, top5_acc: 0.9637, loss_cls: 2.8038, loss: 2.8038 +2023-12-11 02:28:41,834 - pyskl - INFO - Epoch [7][600/1281] lr: 2.489e-02, eta: 20:20:16, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.6831, top5_acc: 0.9719, loss_cls: 2.7821, loss: 2.7821 +2023-12-11 02:29:25,740 - pyskl - INFO - Epoch [7][700/1281] lr: 2.488e-02, eta: 20:21:06, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.7163, top5_acc: 0.9756, loss_cls: 2.6182, loss: 2.6182 +2023-12-11 02:30:09,095 - pyskl - INFO - Epoch [7][800/1281] lr: 2.488e-02, eta: 20:21:41, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.6969, top5_acc: 0.9694, loss_cls: 2.7434, loss: 2.7434 +2023-12-11 02:30:47,905 - pyskl - INFO - Epoch [7][900/1281] lr: 2.488e-02, eta: 20:20:38, time: 0.388, data_time: 0.001, memory: 4120, top1_acc: 0.6831, top5_acc: 0.9719, loss_cls: 2.7752, loss: 2.7752 +2023-12-11 02:31:15,687 - pyskl - INFO - Epoch [7][1000/1281] lr: 2.487e-02, eta: 20:15:42, time: 0.278, data_time: 0.001, memory: 4120, top1_acc: 0.6931, top5_acc: 0.9669, loss_cls: 2.7188, loss: 2.7188 +2023-12-11 02:32:00,116 - pyskl - INFO - Epoch [7][1100/1281] lr: 2.487e-02, eta: 20:16:40, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.6975, top5_acc: 0.9688, loss_cls: 2.7096, loss: 2.7096 +2023-12-11 02:32:22,651 - pyskl - INFO - Epoch [7][1200/1281] lr: 2.487e-02, eta: 20:10:04, time: 0.225, data_time: 0.001, memory: 4120, top1_acc: 0.6856, top5_acc: 0.9644, loss_cls: 2.7709, loss: 2.7709 +2023-12-11 02:32:58,543 - pyskl - INFO - Saving checkpoint at 7 epochs +2023-12-11 02:34:12,764 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 02:34:12,830 - pyskl - INFO - +top1_acc 0.6226 +top5_acc 0.9459 +2023-12-11 02:34:12,830 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 02:34:12,841 - pyskl - INFO - +mean_acc 0.5104 +2023-12-11 02:34:12,844 - pyskl - INFO - Epoch(val) [7][533] top1_acc: 0.6226, top5_acc: 0.9459, mean_class_accuracy: 0.5104 +2023-12-11 02:35:15,352 - pyskl - INFO - Epoch [8][100/1281] lr: 2.486e-02, eta: 20:05:46, time: 0.625, data_time: 0.195, memory: 4120, top1_acc: 0.7106, top5_acc: 0.9750, loss_cls: 2.6727, loss: 2.6727 +2023-12-11 02:35:58,485 - pyskl - INFO - Epoch [8][200/1281] lr: 2.486e-02, eta: 20:06:19, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7325, top5_acc: 0.9744, loss_cls: 2.6224, loss: 2.6224 +2023-12-11 02:36:42,429 - pyskl - INFO - Epoch [8][300/1281] lr: 2.486e-02, eta: 20:07:06, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.7306, top5_acc: 0.9781, loss_cls: 2.6202, loss: 2.6202 +2023-12-11 02:37:25,776 - pyskl - INFO - Epoch [8][400/1281] lr: 2.485e-02, eta: 20:07:39, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.7075, top5_acc: 0.9681, loss_cls: 2.7156, loss: 2.7156 +2023-12-11 02:38:09,229 - pyskl - INFO - Epoch [8][500/1281] lr: 2.485e-02, eta: 20:08:13, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7056, top5_acc: 0.9756, loss_cls: 2.6890, loss: 2.6890 +2023-12-11 02:38:52,525 - pyskl - INFO - Epoch [8][600/1281] lr: 2.485e-02, eta: 20:08:42, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7150, top5_acc: 0.9750, loss_cls: 2.6474, loss: 2.6474 +2023-12-11 02:39:35,869 - pyskl - INFO - Epoch [8][700/1281] lr: 2.484e-02, eta: 20:09:11, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.7087, top5_acc: 0.9756, loss_cls: 2.6475, loss: 2.6475 +2023-12-11 02:40:18,874 - pyskl - INFO - Epoch [8][800/1281] lr: 2.484e-02, eta: 20:09:32, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.7063, top5_acc: 0.9663, loss_cls: 2.6817, loss: 2.6817 +2023-12-11 02:41:01,610 - pyskl - INFO - Epoch [8][900/1281] lr: 2.484e-02, eta: 20:09:46, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7212, top5_acc: 0.9719, loss_cls: 2.6263, loss: 2.6263 +2023-12-11 02:41:27,197 - pyskl - INFO - Epoch [8][1000/1281] lr: 2.483e-02, eta: 20:04:46, time: 0.256, data_time: 0.001, memory: 4120, top1_acc: 0.7025, top5_acc: 0.9650, loss_cls: 2.7097, loss: 2.7097 +2023-12-11 02:42:11,604 - pyskl - INFO - Epoch [8][1100/1281] lr: 2.483e-02, eta: 20:05:32, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.7331, top5_acc: 0.9769, loss_cls: 2.5782, loss: 2.5782 +2023-12-11 02:42:36,661 - pyskl - INFO - Epoch [8][1200/1281] lr: 2.483e-02, eta: 20:00:30, time: 0.251, data_time: 0.000, memory: 4120, top1_acc: 0.7219, top5_acc: 0.9762, loss_cls: 2.6764, loss: 2.6764 +2023-12-11 02:43:07,475 - pyskl - INFO - Saving checkpoint at 8 epochs +2023-12-11 02:44:22,183 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 02:44:22,254 - pyskl - INFO - +top1_acc 0.7004 +top5_acc 0.9640 +2023-12-11 02:44:22,255 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 02:44:22,265 - pyskl - INFO - +mean_acc 0.5871 +2023-12-11 02:44:22,271 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_5.pth was removed +2023-12-11 02:44:22,491 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2023-12-11 02:44:22,491 - pyskl - INFO - Best top1_acc is 0.7004 at 8 epoch. +2023-12-11 02:44:22,494 - pyskl - INFO - Epoch(val) [8][533] top1_acc: 0.7004, top5_acc: 0.9640, mean_class_accuracy: 0.5871 +2023-12-11 02:45:25,630 - pyskl - INFO - Epoch [9][100/1281] lr: 2.482e-02, eta: 19:56:49, time: 0.631, data_time: 0.195, memory: 4120, top1_acc: 0.7481, top5_acc: 0.9738, loss_cls: 2.5414, loss: 2.5414 +2023-12-11 02:46:09,713 - pyskl - INFO - Epoch [9][200/1281] lr: 2.482e-02, eta: 19:57:29, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.7019, top5_acc: 0.9650, loss_cls: 2.7000, loss: 2.7000 +2023-12-11 02:46:53,000 - pyskl - INFO - Epoch [9][300/1281] lr: 2.481e-02, eta: 19:57:54, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7219, top5_acc: 0.9719, loss_cls: 2.6060, loss: 2.6060 +2023-12-11 02:47:36,483 - pyskl - INFO - Epoch [9][400/1281] lr: 2.481e-02, eta: 19:58:21, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7312, top5_acc: 0.9688, loss_cls: 2.6157, loss: 2.6157 +2023-12-11 02:48:20,051 - pyskl - INFO - Epoch [9][500/1281] lr: 2.481e-02, eta: 19:58:48, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.7375, top5_acc: 0.9762, loss_cls: 2.5923, loss: 2.5923 +2023-12-11 02:49:02,936 - pyskl - INFO - Epoch [9][600/1281] lr: 2.480e-02, eta: 19:59:02, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7375, top5_acc: 0.9669, loss_cls: 2.6329, loss: 2.6329 +2023-12-11 02:49:45,504 - pyskl - INFO - Epoch [9][700/1281] lr: 2.480e-02, eta: 19:59:10, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.7119, top5_acc: 0.9681, loss_cls: 2.6878, loss: 2.6878 +2023-12-11 02:50:28,012 - pyskl - INFO - Epoch [9][800/1281] lr: 2.480e-02, eta: 19:59:16, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.7225, top5_acc: 0.9712, loss_cls: 2.6041, loss: 2.6041 +2023-12-11 02:51:11,086 - pyskl - INFO - Epoch [9][900/1281] lr: 2.479e-02, eta: 19:59:31, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7212, top5_acc: 0.9719, loss_cls: 2.6327, loss: 2.6327 +2023-12-11 02:51:37,702 - pyskl - INFO - Epoch [9][1000/1281] lr: 2.479e-02, eta: 19:55:20, time: 0.266, data_time: 0.000, memory: 4120, top1_acc: 0.7188, top5_acc: 0.9762, loss_cls: 2.6596, loss: 2.6596 +2023-12-11 02:52:17,924 - pyskl - INFO - Epoch [9][1100/1281] lr: 2.479e-02, eta: 19:54:49, time: 0.402, data_time: 0.000, memory: 4120, top1_acc: 0.7481, top5_acc: 0.9788, loss_cls: 2.5384, loss: 2.5384 +2023-12-11 02:52:50,395 - pyskl - INFO - Epoch [9][1200/1281] lr: 2.478e-02, eta: 19:52:16, time: 0.325, data_time: 0.001, memory: 4120, top1_acc: 0.7375, top5_acc: 0.9850, loss_cls: 2.5791, loss: 2.5791 +2023-12-11 02:53:14,090 - pyskl - INFO - Saving checkpoint at 9 epochs +2023-12-11 02:54:29,166 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 02:54:29,238 - pyskl - INFO - +top1_acc 0.6944 +top5_acc 0.9605 +2023-12-11 02:54:29,238 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 02:54:29,245 - pyskl - INFO - +mean_acc 0.5798 +2023-12-11 02:54:29,248 - pyskl - INFO - Epoch(val) [9][533] top1_acc: 0.6944, top5_acc: 0.9605, mean_class_accuracy: 0.5798 +2023-12-11 02:55:36,411 - pyskl - INFO - Epoch [10][100/1281] lr: 2.477e-02, eta: 19:49:55, time: 0.672, data_time: 0.239, memory: 4120, top1_acc: 0.7369, top5_acc: 0.9781, loss_cls: 2.5803, loss: 2.5803 +2023-12-11 02:56:19,756 - pyskl - INFO - Epoch [10][200/1281] lr: 2.477e-02, eta: 19:50:14, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7212, top5_acc: 0.9856, loss_cls: 2.6335, loss: 2.6335 +2023-12-11 02:57:03,076 - pyskl - INFO - Epoch [10][300/1281] lr: 2.477e-02, eta: 19:50:31, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.7281, top5_acc: 0.9812, loss_cls: 2.5925, loss: 2.5925 +2023-12-11 02:57:46,300 - pyskl - INFO - Epoch [10][400/1281] lr: 2.476e-02, eta: 19:50:46, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7381, top5_acc: 0.9800, loss_cls: 2.5522, loss: 2.5522 +2023-12-11 02:58:28,924 - pyskl - INFO - Epoch [10][500/1281] lr: 2.476e-02, eta: 19:50:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7369, top5_acc: 0.9800, loss_cls: 2.5233, loss: 2.5233 +2023-12-11 02:59:11,517 - pyskl - INFO - Epoch [10][600/1281] lr: 2.476e-02, eta: 19:50:55, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7481, top5_acc: 0.9812, loss_cls: 2.5143, loss: 2.5143 +2023-12-11 02:59:54,644 - pyskl - INFO - Epoch [10][700/1281] lr: 2.475e-02, eta: 19:51:05, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7356, top5_acc: 0.9775, loss_cls: 2.5632, loss: 2.5632 +2023-12-11 03:00:37,806 - pyskl - INFO - Epoch [10][800/1281] lr: 2.475e-02, eta: 19:51:16, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.7144, top5_acc: 0.9731, loss_cls: 2.6752, loss: 2.6752 +2023-12-11 03:01:20,814 - pyskl - INFO - Epoch [10][900/1281] lr: 2.474e-02, eta: 19:51:23, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7312, top5_acc: 0.9788, loss_cls: 2.5825, loss: 2.5825 +2023-12-11 03:01:50,944 - pyskl - INFO - Epoch [10][1000/1281] lr: 2.474e-02, eta: 19:48:25, time: 0.301, data_time: 0.001, memory: 4120, top1_acc: 0.7344, top5_acc: 0.9762, loss_cls: 2.5503, loss: 2.5503 +2023-12-11 03:02:27,921 - pyskl - INFO - Epoch [10][1100/1281] lr: 2.473e-02, eta: 19:47:07, time: 0.370, data_time: 0.000, memory: 4120, top1_acc: 0.7438, top5_acc: 0.9775, loss_cls: 2.5484, loss: 2.5484 +2023-12-11 03:03:02,853 - pyskl - INFO - Epoch [10][1200/1281] lr: 2.473e-02, eta: 19:45:20, time: 0.349, data_time: 0.001, memory: 4120, top1_acc: 0.7419, top5_acc: 0.9781, loss_cls: 2.5443, loss: 2.5443 +2023-12-11 03:03:27,893 - pyskl - INFO - Saving checkpoint at 10 epochs +2023-12-11 03:04:45,659 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 03:04:45,733 - pyskl - INFO - +top1_acc 0.7027 +top5_acc 0.9696 +2023-12-11 03:04:45,733 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 03:04:45,752 - pyskl - INFO - +mean_acc 0.5879 +2023-12-11 03:04:45,762 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_8.pth was removed +2023-12-11 03:04:46,029 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2023-12-11 03:04:46,030 - pyskl - INFO - Best top1_acc is 0.7027 at 10 epoch. +2023-12-11 03:04:46,034 - pyskl - INFO - Epoch(val) [10][533] top1_acc: 0.7027, top5_acc: 0.9696, mean_class_accuracy: 0.5879 +2023-12-11 03:05:53,008 - pyskl - INFO - Epoch [11][100/1281] lr: 2.472e-02, eta: 19:43:02, time: 0.670, data_time: 0.235, memory: 4120, top1_acc: 0.7669, top5_acc: 0.9844, loss_cls: 2.4458, loss: 2.4458 +2023-12-11 03:06:36,907 - pyskl - INFO - Epoch [11][200/1281] lr: 2.472e-02, eta: 19:43:22, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.7612, top5_acc: 0.9806, loss_cls: 2.4399, loss: 2.4399 +2023-12-11 03:07:19,900 - pyskl - INFO - Epoch [11][300/1281] lr: 2.471e-02, eta: 19:43:28, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.7356, top5_acc: 0.9738, loss_cls: 2.5586, loss: 2.5586 +2023-12-11 03:08:02,505 - pyskl - INFO - Epoch [11][400/1281] lr: 2.471e-02, eta: 19:43:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7569, top5_acc: 0.9806, loss_cls: 2.5064, loss: 2.5064 +2023-12-11 03:08:45,164 - pyskl - INFO - Epoch [11][500/1281] lr: 2.471e-02, eta: 19:43:28, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7600, top5_acc: 0.9838, loss_cls: 2.4775, loss: 2.4775 +2023-12-11 03:09:28,200 - pyskl - INFO - Epoch [11][600/1281] lr: 2.470e-02, eta: 19:43:33, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7319, top5_acc: 0.9744, loss_cls: 2.5925, loss: 2.5925 +2023-12-11 03:10:11,322 - pyskl - INFO - Epoch [11][700/1281] lr: 2.470e-02, eta: 19:43:38, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7406, top5_acc: 0.9831, loss_cls: 2.5408, loss: 2.5408 +2023-12-11 03:10:54,575 - pyskl - INFO - Epoch [11][800/1281] lr: 2.469e-02, eta: 19:43:44, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7444, top5_acc: 0.9800, loss_cls: 2.5486, loss: 2.5486 +2023-12-11 03:11:37,098 - pyskl - INFO - Epoch [11][900/1281] lr: 2.469e-02, eta: 19:43:40, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.7406, top5_acc: 0.9856, loss_cls: 2.5173, loss: 2.5173 +2023-12-11 03:12:05,712 - pyskl - INFO - Epoch [11][1000/1281] lr: 2.468e-02, eta: 19:40:36, time: 0.286, data_time: 0.000, memory: 4120, top1_acc: 0.7300, top5_acc: 0.9750, loss_cls: 2.5837, loss: 2.5837 +2023-12-11 03:12:47,079 - pyskl - INFO - Epoch [11][1100/1281] lr: 2.468e-02, eta: 19:40:17, time: 0.414, data_time: 0.001, memory: 4120, top1_acc: 0.7556, top5_acc: 0.9800, loss_cls: 2.5047, loss: 2.5047 +2023-12-11 03:13:20,229 - pyskl - INFO - Epoch [11][1200/1281] lr: 2.467e-02, eta: 19:38:14, time: 0.332, data_time: 0.002, memory: 4120, top1_acc: 0.7469, top5_acc: 0.9750, loss_cls: 2.5473, loss: 2.5473 +2023-12-11 03:13:46,961 - pyskl - INFO - Saving checkpoint at 11 epochs +2023-12-11 03:15:06,422 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 03:15:06,482 - pyskl - INFO - +top1_acc 0.7059 +top5_acc 0.9595 +2023-12-11 03:15:06,483 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 03:15:06,503 - pyskl - INFO - +mean_acc 0.5870 +2023-12-11 03:15:06,523 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_10.pth was removed +2023-12-11 03:15:06,759 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2023-12-11 03:15:06,760 - pyskl - INFO - Best top1_acc is 0.7059 at 11 epoch. +2023-12-11 03:15:06,767 - pyskl - INFO - Epoch(val) [11][533] top1_acc: 0.7059, top5_acc: 0.9595, mean_class_accuracy: 0.5870 +2023-12-11 03:16:11,419 - pyskl - INFO - Epoch [12][100/1281] lr: 2.467e-02, eta: 19:35:32, time: 0.646, data_time: 0.211, memory: 4120, top1_acc: 0.7562, top5_acc: 0.9806, loss_cls: 2.5232, loss: 2.5232 +2023-12-11 03:16:54,939 - pyskl - INFO - Epoch [12][200/1281] lr: 2.466e-02, eta: 19:35:40, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.7662, top5_acc: 0.9825, loss_cls: 2.4568, loss: 2.4568 +2023-12-11 03:17:37,816 - pyskl - INFO - Epoch [12][300/1281] lr: 2.466e-02, eta: 19:35:41, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7750, top5_acc: 0.9838, loss_cls: 2.4287, loss: 2.4287 +2023-12-11 03:18:20,618 - pyskl - INFO - Epoch [12][400/1281] lr: 2.465e-02, eta: 19:35:39, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7350, top5_acc: 0.9769, loss_cls: 2.6025, loss: 2.6025 +2023-12-11 03:19:03,824 - pyskl - INFO - Epoch [12][500/1281] lr: 2.465e-02, eta: 19:35:42, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.7456, top5_acc: 0.9881, loss_cls: 2.5358, loss: 2.5358 +2023-12-11 03:19:47,197 - pyskl - INFO - Epoch [12][600/1281] lr: 2.464e-02, eta: 19:35:46, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7431, top5_acc: 0.9788, loss_cls: 2.5247, loss: 2.5247 +2023-12-11 03:20:29,722 - pyskl - INFO - Epoch [12][700/1281] lr: 2.464e-02, eta: 19:35:40, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.7381, top5_acc: 0.9781, loss_cls: 2.4808, loss: 2.4808 +2023-12-11 03:21:12,543 - pyskl - INFO - Epoch [12][800/1281] lr: 2.463e-02, eta: 19:35:36, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.7656, top5_acc: 0.9769, loss_cls: 2.4644, loss: 2.4644 +2023-12-11 03:21:56,080 - pyskl - INFO - Epoch [12][900/1281] lr: 2.463e-02, eta: 19:35:41, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7531, top5_acc: 0.9738, loss_cls: 2.5321, loss: 2.5321 +2023-12-11 03:22:27,778 - pyskl - INFO - Epoch [12][1000/1281] lr: 2.462e-02, eta: 19:33:25, time: 0.317, data_time: 0.001, memory: 4120, top1_acc: 0.7394, top5_acc: 0.9756, loss_cls: 2.5860, loss: 2.5860 +2023-12-11 03:23:05,172 - pyskl - INFO - Epoch [12][1100/1281] lr: 2.462e-02, eta: 19:32:18, time: 0.374, data_time: 0.001, memory: 4120, top1_acc: 0.7281, top5_acc: 0.9844, loss_cls: 2.5896, loss: 2.5896 +2023-12-11 03:23:42,903 - pyskl - INFO - Epoch [12][1200/1281] lr: 2.461e-02, eta: 19:31:15, time: 0.377, data_time: 0.001, memory: 4120, top1_acc: 0.7644, top5_acc: 0.9838, loss_cls: 2.5094, loss: 2.5094 +2023-12-11 03:24:05,185 - pyskl - INFO - Saving checkpoint at 12 epochs +2023-12-11 03:25:24,969 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 03:25:25,031 - pyskl - INFO - +top1_acc 0.7237 +top5_acc 0.9698 +2023-12-11 03:25:25,032 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 03:25:25,039 - pyskl - INFO - +mean_acc 0.6163 +2023-12-11 03:25:25,044 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_11.pth was removed +2023-12-11 03:25:25,314 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2023-12-11 03:25:25,314 - pyskl - INFO - Best top1_acc is 0.7237 at 12 epoch. +2023-12-11 03:25:25,318 - pyskl - INFO - Epoch(val) [12][533] top1_acc: 0.7237, top5_acc: 0.9698, mean_class_accuracy: 0.6163 +2023-12-11 03:26:27,610 - pyskl - INFO - Epoch [13][100/1281] lr: 2.460e-02, eta: 19:28:13, time: 0.623, data_time: 0.191, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9838, loss_cls: 2.3804, loss: 2.3804 +2023-12-11 03:27:10,628 - pyskl - INFO - Epoch [13][200/1281] lr: 2.460e-02, eta: 19:28:11, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7588, top5_acc: 0.9819, loss_cls: 2.4739, loss: 2.4739 +2023-12-11 03:27:53,845 - pyskl - INFO - Epoch [13][300/1281] lr: 2.459e-02, eta: 19:28:11, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7844, top5_acc: 0.9862, loss_cls: 2.3764, loss: 2.3764 +2023-12-11 03:28:37,294 - pyskl - INFO - Epoch [13][400/1281] lr: 2.459e-02, eta: 19:28:13, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7431, top5_acc: 0.9769, loss_cls: 2.5528, loss: 2.5528 +2023-12-11 03:29:20,404 - pyskl - INFO - Epoch [13][500/1281] lr: 2.458e-02, eta: 19:28:11, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7344, top5_acc: 0.9812, loss_cls: 2.5686, loss: 2.5686 +2023-12-11 03:30:02,885 - pyskl - INFO - Epoch [13][600/1281] lr: 2.458e-02, eta: 19:28:01, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.7688, top5_acc: 0.9844, loss_cls: 2.4451, loss: 2.4451 +2023-12-11 03:30:45,662 - pyskl - INFO - Epoch [13][700/1281] lr: 2.457e-02, eta: 19:27:54, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.7700, top5_acc: 0.9850, loss_cls: 2.3940, loss: 2.3940 +2023-12-11 03:31:29,015 - pyskl - INFO - Epoch [13][800/1281] lr: 2.457e-02, eta: 19:27:53, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7656, top5_acc: 0.9838, loss_cls: 2.4334, loss: 2.4334 +2023-12-11 03:32:12,304 - pyskl - INFO - Epoch [13][900/1281] lr: 2.456e-02, eta: 19:27:51, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7419, top5_acc: 0.9788, loss_cls: 2.5273, loss: 2.5273 +2023-12-11 03:32:48,021 - pyskl - INFO - Epoch [13][1000/1281] lr: 2.455e-02, eta: 19:26:27, time: 0.357, data_time: 0.001, memory: 4120, top1_acc: 0.7700, top5_acc: 0.9788, loss_cls: 2.4329, loss: 2.4329 +2023-12-11 03:33:19,892 - pyskl - INFO - Epoch [13][1100/1281] lr: 2.455e-02, eta: 19:24:22, time: 0.319, data_time: 0.001, memory: 4120, top1_acc: 0.7525, top5_acc: 0.9831, loss_cls: 2.4950, loss: 2.4950 +2023-12-11 03:34:03,058 - pyskl - INFO - Epoch [13][1200/1281] lr: 2.454e-02, eta: 19:24:18, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7438, top5_acc: 0.9812, loss_cls: 2.5131, loss: 2.5131 +2023-12-11 03:34:24,724 - pyskl - INFO - Saving checkpoint at 13 epochs +2023-12-11 03:35:43,853 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 03:35:43,907 - pyskl - INFO - +top1_acc 0.7196 +top5_acc 0.9734 +2023-12-11 03:35:43,907 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 03:35:43,913 - pyskl - INFO - +mean_acc 0.6051 +2023-12-11 03:35:43,915 - pyskl - INFO - Epoch(val) [13][533] top1_acc: 0.7196, top5_acc: 0.9734, mean_class_accuracy: 0.6051 +2023-12-11 03:36:45,177 - pyskl - INFO - Epoch [14][100/1281] lr: 2.453e-02, eta: 19:21:14, time: 0.613, data_time: 0.182, memory: 4120, top1_acc: 0.7662, top5_acc: 0.9844, loss_cls: 2.4413, loss: 2.4413 +2023-12-11 03:37:28,430 - pyskl - INFO - Epoch [14][200/1281] lr: 2.453e-02, eta: 19:21:10, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7656, top5_acc: 0.9831, loss_cls: 2.4529, loss: 2.4529 +2023-12-11 03:38:11,328 - pyskl - INFO - Epoch [14][300/1281] lr: 2.452e-02, eta: 19:21:03, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.7612, top5_acc: 0.9812, loss_cls: 2.4424, loss: 2.4424 +2023-12-11 03:38:54,503 - pyskl - INFO - Epoch [14][400/1281] lr: 2.452e-02, eta: 19:20:59, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7544, top5_acc: 0.9838, loss_cls: 2.4911, loss: 2.4911 +2023-12-11 03:39:38,167 - pyskl - INFO - Epoch [14][500/1281] lr: 2.451e-02, eta: 19:20:58, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.7662, top5_acc: 0.9862, loss_cls: 2.4505, loss: 2.4505 +2023-12-11 03:40:21,726 - pyskl - INFO - Epoch [14][600/1281] lr: 2.451e-02, eta: 19:20:57, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.7656, top5_acc: 0.9819, loss_cls: 2.4672, loss: 2.4672 +2023-12-11 03:41:04,746 - pyskl - INFO - Epoch [14][700/1281] lr: 2.450e-02, eta: 19:20:49, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7481, top5_acc: 0.9819, loss_cls: 2.5507, loss: 2.5507 +2023-12-11 03:41:47,692 - pyskl - INFO - Epoch [14][800/1281] lr: 2.449e-02, eta: 19:20:40, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.7694, top5_acc: 0.9825, loss_cls: 2.4652, loss: 2.4652 +2023-12-11 03:42:30,714 - pyskl - INFO - Epoch [14][900/1281] lr: 2.449e-02, eta: 19:20:32, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.7738, top5_acc: 0.9806, loss_cls: 2.4542, loss: 2.4542 +2023-12-11 03:43:08,939 - pyskl - INFO - Epoch [14][1000/1281] lr: 2.448e-02, eta: 19:19:35, time: 0.382, data_time: 0.001, memory: 4120, top1_acc: 0.7619, top5_acc: 0.9831, loss_cls: 2.4479, loss: 2.4479 +2023-12-11 03:43:39,582 - pyskl - INFO - Epoch [14][1100/1281] lr: 2.448e-02, eta: 19:17:25, time: 0.306, data_time: 0.001, memory: 4120, top1_acc: 0.7200, top5_acc: 0.9781, loss_cls: 2.5799, loss: 2.5799 +2023-12-11 03:44:23,929 - pyskl - INFO - Epoch [14][1200/1281] lr: 2.447e-02, eta: 19:17:29, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.7638, top5_acc: 0.9888, loss_cls: 2.4568, loss: 2.4568 +2023-12-11 03:44:44,645 - pyskl - INFO - Saving checkpoint at 14 epochs +2023-12-11 03:46:04,373 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 03:46:04,441 - pyskl - INFO - +top1_acc 0.7476 +top5_acc 0.9736 +2023-12-11 03:46:04,441 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 03:46:04,448 - pyskl - INFO - +mean_acc 0.6575 +2023-12-11 03:46:04,453 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_12.pth was removed +2023-12-11 03:46:04,695 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. +2023-12-11 03:46:04,695 - pyskl - INFO - Best top1_acc is 0.7476 at 14 epoch. +2023-12-11 03:46:04,698 - pyskl - INFO - Epoch(val) [14][533] top1_acc: 0.7476, top5_acc: 0.9736, mean_class_accuracy: 0.6575 +2023-12-11 03:47:07,995 - pyskl - INFO - Epoch [15][100/1281] lr: 2.446e-02, eta: 19:14:52, time: 0.633, data_time: 0.202, memory: 4120, top1_acc: 0.7731, top5_acc: 0.9856, loss_cls: 2.4089, loss: 2.4089 +2023-12-11 03:47:51,833 - pyskl - INFO - Epoch [15][200/1281] lr: 2.445e-02, eta: 19:14:51, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.7869, top5_acc: 0.9881, loss_cls: 2.3764, loss: 2.3764 +2023-12-11 03:48:34,746 - pyskl - INFO - Epoch [15][300/1281] lr: 2.445e-02, eta: 19:14:40, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.7887, top5_acc: 0.9862, loss_cls: 2.3601, loss: 2.3601 +2023-12-11 03:49:17,905 - pyskl - INFO - Epoch [15][400/1281] lr: 2.444e-02, eta: 19:14:32, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7750, top5_acc: 0.9806, loss_cls: 2.4320, loss: 2.4320 +2023-12-11 03:50:01,041 - pyskl - INFO - Epoch [15][500/1281] lr: 2.444e-02, eta: 19:14:23, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.7388, top5_acc: 0.9819, loss_cls: 2.5115, loss: 2.5115 +2023-12-11 03:50:43,953 - pyskl - INFO - Epoch [15][600/1281] lr: 2.443e-02, eta: 19:14:12, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.7750, top5_acc: 0.9812, loss_cls: 2.4091, loss: 2.4091 +2023-12-11 03:51:27,272 - pyskl - INFO - Epoch [15][700/1281] lr: 2.442e-02, eta: 19:14:04, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.7650, top5_acc: 0.9838, loss_cls: 2.4529, loss: 2.4529 +2023-12-11 03:52:10,514 - pyskl - INFO - Epoch [15][800/1281] lr: 2.442e-02, eta: 19:13:55, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7800, top5_acc: 0.9800, loss_cls: 2.4054, loss: 2.4054 +2023-12-11 03:52:54,521 - pyskl - INFO - Epoch [15][900/1281] lr: 2.441e-02, eta: 19:13:52, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.7494, top5_acc: 0.9806, loss_cls: 2.5104, loss: 2.5104 +2023-12-11 03:53:33,256 - pyskl - INFO - Epoch [15][1000/1281] lr: 2.441e-02, eta: 19:13:01, time: 0.387, data_time: 0.001, memory: 4120, top1_acc: 0.7675, top5_acc: 0.9806, loss_cls: 2.4514, loss: 2.4514 +2023-12-11 03:54:07,690 - pyskl - INFO - Epoch [15][1100/1281] lr: 2.440e-02, eta: 19:11:31, time: 0.344, data_time: 0.001, memory: 4120, top1_acc: 0.7625, top5_acc: 0.9800, loss_cls: 2.4686, loss: 2.4686 +2023-12-11 03:54:48,124 - pyskl - INFO - Epoch [15][1200/1281] lr: 2.439e-02, eta: 19:10:56, time: 0.404, data_time: 0.001, memory: 4120, top1_acc: 0.7675, top5_acc: 0.9856, loss_cls: 2.4158, loss: 2.4158 +2023-12-11 03:55:11,922 - pyskl - INFO - Saving checkpoint at 15 epochs +2023-12-11 03:56:27,518 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 03:56:27,576 - pyskl - INFO - +top1_acc 0.7165 +top5_acc 0.9747 +2023-12-11 03:56:27,576 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 03:56:27,586 - pyskl - INFO - +mean_acc 0.6076 +2023-12-11 03:56:27,592 - pyskl - INFO - Epoch(val) [15][533] top1_acc: 0.7165, top5_acc: 0.9747, mean_class_accuracy: 0.6076 +2023-12-11 03:57:30,760 - pyskl - INFO - Epoch [16][100/1281] lr: 2.438e-02, eta: 19:08:23, time: 0.632, data_time: 0.199, memory: 4120, top1_acc: 0.7750, top5_acc: 0.9881, loss_cls: 2.4474, loss: 2.4474 +2023-12-11 03:58:13,966 - pyskl - INFO - Epoch [16][200/1281] lr: 2.438e-02, eta: 19:08:12, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9862, loss_cls: 2.3414, loss: 2.3414 +2023-12-11 03:58:57,430 - pyskl - INFO - Epoch [16][300/1281] lr: 2.437e-02, eta: 19:08:04, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7975, top5_acc: 0.9825, loss_cls: 2.3104, loss: 2.3104 +2023-12-11 03:59:41,003 - pyskl - INFO - Epoch [16][400/1281] lr: 2.436e-02, eta: 19:07:57, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.7844, top5_acc: 0.9831, loss_cls: 2.4174, loss: 2.4174 +2023-12-11 04:00:23,737 - pyskl - INFO - Epoch [16][500/1281] lr: 2.436e-02, eta: 19:07:41, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7881, top5_acc: 0.9856, loss_cls: 2.3564, loss: 2.3564 +2023-12-11 04:01:06,791 - pyskl - INFO - Epoch [16][600/1281] lr: 2.435e-02, eta: 19:07:28, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7894, top5_acc: 0.9819, loss_cls: 2.4158, loss: 2.4158 +2023-12-11 04:01:49,924 - pyskl - INFO - Epoch [16][700/1281] lr: 2.434e-02, eta: 19:07:16, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7769, top5_acc: 0.9794, loss_cls: 2.4142, loss: 2.4142 +2023-12-11 04:02:33,961 - pyskl - INFO - Epoch [16][800/1281] lr: 2.434e-02, eta: 19:07:11, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.7494, top5_acc: 0.9869, loss_cls: 2.5138, loss: 2.5138 +2023-12-11 04:03:17,717 - pyskl - INFO - Epoch [16][900/1281] lr: 2.433e-02, eta: 19:07:03, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.7738, top5_acc: 0.9888, loss_cls: 2.3801, loss: 2.3801 +2023-12-11 04:03:54,252 - pyskl - INFO - Epoch [16][1000/1281] lr: 2.432e-02, eta: 19:05:54, time: 0.365, data_time: 0.001, memory: 4120, top1_acc: 0.7681, top5_acc: 0.9812, loss_cls: 2.3891, loss: 2.3891 +2023-12-11 04:04:29,005 - pyskl - INFO - Epoch [16][1100/1281] lr: 2.432e-02, eta: 19:04:29, time: 0.347, data_time: 0.002, memory: 4120, top1_acc: 0.7812, top5_acc: 0.9881, loss_cls: 2.3576, loss: 2.3576 +2023-12-11 04:05:08,913 - pyskl - INFO - Epoch [16][1200/1281] lr: 2.431e-02, eta: 19:03:49, time: 0.399, data_time: 0.001, memory: 4120, top1_acc: 0.7750, top5_acc: 0.9856, loss_cls: 2.3761, loss: 2.3761 +2023-12-11 04:05:28,806 - pyskl - INFO - Saving checkpoint at 16 epochs +2023-12-11 04:06:44,477 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 04:06:44,538 - pyskl - INFO - +top1_acc 0.7297 +top5_acc 0.9795 +2023-12-11 04:06:44,538 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 04:06:44,547 - pyskl - INFO - +mean_acc 0.6547 +2023-12-11 04:06:44,550 - pyskl - INFO - Epoch(val) [16][533] top1_acc: 0.7297, top5_acc: 0.9795, mean_class_accuracy: 0.6547 +2023-12-11 04:07:47,019 - pyskl - INFO - Epoch [17][100/1281] lr: 2.430e-02, eta: 19:01:14, time: 0.625, data_time: 0.199, memory: 4120, top1_acc: 0.7944, top5_acc: 0.9881, loss_cls: 2.3365, loss: 2.3365 +2023-12-11 04:08:30,380 - pyskl - INFO - Epoch [17][200/1281] lr: 2.429e-02, eta: 19:01:03, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7781, top5_acc: 0.9831, loss_cls: 2.4111, loss: 2.4111 +2023-12-11 04:09:13,681 - pyskl - INFO - Epoch [17][300/1281] lr: 2.428e-02, eta: 19:00:51, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9812, loss_cls: 2.3896, loss: 2.3896 +2023-12-11 04:09:57,040 - pyskl - INFO - Epoch [17][400/1281] lr: 2.428e-02, eta: 19:00:39, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7638, top5_acc: 0.9875, loss_cls: 2.4624, loss: 2.4624 +2023-12-11 04:10:40,174 - pyskl - INFO - Epoch [17][500/1281] lr: 2.427e-02, eta: 19:00:25, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7812, top5_acc: 0.9869, loss_cls: 2.3533, loss: 2.3533 +2023-12-11 04:11:23,578 - pyskl - INFO - Epoch [17][600/1281] lr: 2.426e-02, eta: 19:00:13, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7831, top5_acc: 0.9856, loss_cls: 2.3733, loss: 2.3733 +2023-12-11 04:12:06,900 - pyskl - INFO - Epoch [17][700/1281] lr: 2.426e-02, eta: 18:59:59, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7875, top5_acc: 0.9812, loss_cls: 2.3723, loss: 2.3723 +2023-12-11 04:12:51,251 - pyskl - INFO - Epoch [17][800/1281] lr: 2.425e-02, eta: 18:59:54, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.7844, top5_acc: 0.9900, loss_cls: 2.3536, loss: 2.3536 +2023-12-11 04:13:35,430 - pyskl - INFO - Epoch [17][900/1281] lr: 2.424e-02, eta: 18:59:47, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.7850, top5_acc: 0.9888, loss_cls: 2.3598, loss: 2.3598 +2023-12-11 04:14:15,919 - pyskl - INFO - Epoch [17][1000/1281] lr: 2.424e-02, eta: 18:59:11, time: 0.405, data_time: 0.001, memory: 4120, top1_acc: 0.7762, top5_acc: 0.9838, loss_cls: 2.4136, loss: 2.4136 +2023-12-11 04:14:45,862 - pyskl - INFO - Epoch [17][1100/1281] lr: 2.423e-02, eta: 18:57:11, time: 0.299, data_time: 0.002, memory: 4120, top1_acc: 0.7969, top5_acc: 0.9869, loss_cls: 2.3403, loss: 2.3403 +2023-12-11 04:15:30,315 - pyskl - INFO - Epoch [17][1200/1281] lr: 2.422e-02, eta: 18:57:06, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.7806, top5_acc: 0.9850, loss_cls: 2.3899, loss: 2.3899 +2023-12-11 04:15:48,946 - pyskl - INFO - Saving checkpoint at 17 epochs +2023-12-11 04:17:03,784 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 04:17:03,845 - pyskl - INFO - +top1_acc 0.7415 +top5_acc 0.9790 +2023-12-11 04:17:03,845 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 04:17:03,853 - pyskl - INFO - +mean_acc 0.6195 +2023-12-11 04:17:03,858 - pyskl - INFO - Epoch(val) [17][533] top1_acc: 0.7415, top5_acc: 0.9790, mean_class_accuracy: 0.6195 +2023-12-11 04:18:06,911 - pyskl - INFO - Epoch [18][100/1281] lr: 2.421e-02, eta: 18:54:40, time: 0.630, data_time: 0.199, memory: 4120, top1_acc: 0.7844, top5_acc: 0.9856, loss_cls: 2.3474, loss: 2.3474 +2023-12-11 04:18:50,260 - pyskl - INFO - Epoch [18][200/1281] lr: 2.420e-02, eta: 18:54:26, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8050, top5_acc: 0.9825, loss_cls: 2.2887, loss: 2.2887 +2023-12-11 04:19:33,264 - pyskl - INFO - Epoch [18][300/1281] lr: 2.419e-02, eta: 18:54:09, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.7963, top5_acc: 0.9900, loss_cls: 2.3402, loss: 2.3402 +2023-12-11 04:20:16,351 - pyskl - INFO - Epoch [18][400/1281] lr: 2.419e-02, eta: 18:53:53, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7944, top5_acc: 0.9875, loss_cls: 2.3505, loss: 2.3505 +2023-12-11 04:20:59,606 - pyskl - INFO - Epoch [18][500/1281] lr: 2.418e-02, eta: 18:53:37, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7700, top5_acc: 0.9856, loss_cls: 2.4444, loss: 2.4444 +2023-12-11 04:21:42,773 - pyskl - INFO - Epoch [18][600/1281] lr: 2.417e-02, eta: 18:53:21, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7806, top5_acc: 0.9856, loss_cls: 2.3771, loss: 2.3771 +2023-12-11 04:22:26,874 - pyskl - INFO - Epoch [18][700/1281] lr: 2.417e-02, eta: 18:53:12, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.7931, top5_acc: 0.9862, loss_cls: 2.3476, loss: 2.3476 +2023-12-11 04:23:10,460 - pyskl - INFO - Epoch [18][800/1281] lr: 2.416e-02, eta: 18:52:58, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.7775, top5_acc: 0.9831, loss_cls: 2.3704, loss: 2.3704 +2023-12-11 04:23:53,970 - pyskl - INFO - Epoch [18][900/1281] lr: 2.415e-02, eta: 18:52:43, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7875, top5_acc: 0.9881, loss_cls: 2.3301, loss: 2.3301 +2023-12-11 04:24:37,354 - pyskl - INFO - Epoch [18][1000/1281] lr: 2.414e-02, eta: 18:52:28, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8087, top5_acc: 0.9875, loss_cls: 2.2927, loss: 2.2927 +2023-12-11 04:25:02,752 - pyskl - INFO - Epoch [18][1100/1281] lr: 2.414e-02, eta: 18:49:59, time: 0.254, data_time: 0.001, memory: 4120, top1_acc: 0.7887, top5_acc: 0.9856, loss_cls: 2.3555, loss: 2.3555 +2023-12-11 04:25:45,128 - pyskl - INFO - Epoch [18][1200/1281] lr: 2.413e-02, eta: 18:49:36, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.7975, top5_acc: 0.9900, loss_cls: 2.2996, loss: 2.2996 +2023-12-11 04:26:12,832 - pyskl - INFO - Saving checkpoint at 18 epochs +2023-12-11 04:27:28,814 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 04:27:28,873 - pyskl - INFO - +top1_acc 0.7618 +top5_acc 0.9796 +2023-12-11 04:27:28,873 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 04:27:28,880 - pyskl - INFO - +mean_acc 0.6578 +2023-12-11 04:27:28,885 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_14.pth was removed +2023-12-11 04:27:29,060 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2023-12-11 04:27:29,061 - pyskl - INFO - Best top1_acc is 0.7618 at 18 epoch. +2023-12-11 04:27:29,063 - pyskl - INFO - Epoch(val) [18][533] top1_acc: 0.7618, top5_acc: 0.9796, mean_class_accuracy: 0.6578 +2023-12-11 04:28:30,236 - pyskl - INFO - Epoch [19][100/1281] lr: 2.411e-02, eta: 18:47:00, time: 0.612, data_time: 0.185, memory: 4120, top1_acc: 0.7825, top5_acc: 0.9888, loss_cls: 2.3502, loss: 2.3502 +2023-12-11 04:29:13,148 - pyskl - INFO - Epoch [19][200/1281] lr: 2.411e-02, eta: 18:46:41, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7919, top5_acc: 0.9919, loss_cls: 2.3717, loss: 2.3717 +2023-12-11 04:29:56,050 - pyskl - INFO - Epoch [19][300/1281] lr: 2.410e-02, eta: 18:46:22, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.7881, top5_acc: 0.9938, loss_cls: 2.3345, loss: 2.3345 +2023-12-11 04:30:39,416 - pyskl - INFO - Epoch [19][400/1281] lr: 2.409e-02, eta: 18:46:06, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.7869, top5_acc: 0.9819, loss_cls: 2.3394, loss: 2.3394 +2023-12-11 04:31:22,303 - pyskl - INFO - Epoch [19][500/1281] lr: 2.408e-02, eta: 18:45:46, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8044, top5_acc: 0.9912, loss_cls: 2.3061, loss: 2.3061 +2023-12-11 04:32:05,637 - pyskl - INFO - Epoch [19][600/1281] lr: 2.408e-02, eta: 18:45:29, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8044, top5_acc: 0.9875, loss_cls: 2.3118, loss: 2.3118 +2023-12-11 04:32:49,747 - pyskl - INFO - Epoch [19][700/1281] lr: 2.407e-02, eta: 18:45:18, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.7906, top5_acc: 0.9906, loss_cls: 2.3352, loss: 2.3352 +2023-12-11 04:33:33,690 - pyskl - INFO - Epoch [19][800/1281] lr: 2.406e-02, eta: 18:45:05, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.8087, top5_acc: 0.9888, loss_cls: 2.2955, loss: 2.2955 +2023-12-11 04:34:17,440 - pyskl - INFO - Epoch [19][900/1281] lr: 2.405e-02, eta: 18:44:50, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.7956, top5_acc: 0.9862, loss_cls: 2.3311, loss: 2.3311 +2023-12-11 04:35:01,051 - pyskl - INFO - Epoch [19][1000/1281] lr: 2.405e-02, eta: 18:44:34, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.7994, top5_acc: 0.9900, loss_cls: 2.2999, loss: 2.2999 +2023-12-11 04:35:33,127 - pyskl - INFO - Epoch [19][1100/1281] lr: 2.404e-02, eta: 18:42:58, time: 0.321, data_time: 0.001, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9850, loss_cls: 2.3629, loss: 2.3629 +2023-12-11 04:36:08,071 - pyskl - INFO - Epoch [19][1200/1281] lr: 2.403e-02, eta: 18:41:42, time: 0.349, data_time: 0.001, memory: 4120, top1_acc: 0.7831, top5_acc: 0.9844, loss_cls: 2.3584, loss: 2.3584 +2023-12-11 04:36:42,573 - pyskl - INFO - Saving checkpoint at 19 epochs +2023-12-11 04:37:57,643 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 04:37:57,710 - pyskl - INFO - +top1_acc 0.7288 +top5_acc 0.9762 +2023-12-11 04:37:57,710 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 04:37:57,720 - pyskl - INFO - +mean_acc 0.6385 +2023-12-11 04:37:57,724 - pyskl - INFO - Epoch(val) [19][533] top1_acc: 0.7288, top5_acc: 0.9762, mean_class_accuracy: 0.6385 +2023-12-11 04:39:00,981 - pyskl - INFO - Epoch [20][100/1281] lr: 2.402e-02, eta: 18:39:26, time: 0.632, data_time: 0.205, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9881, loss_cls: 2.2647, loss: 2.2647 +2023-12-11 04:39:44,148 - pyskl - INFO - Epoch [20][200/1281] lr: 2.401e-02, eta: 18:39:07, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8056, top5_acc: 0.9912, loss_cls: 2.2888, loss: 2.2888 +2023-12-11 04:40:27,154 - pyskl - INFO - Epoch [20][300/1281] lr: 2.400e-02, eta: 18:38:47, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.7863, top5_acc: 0.9894, loss_cls: 2.3607, loss: 2.3607 +2023-12-11 04:41:10,296 - pyskl - INFO - Epoch [20][400/1281] lr: 2.399e-02, eta: 18:38:28, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7981, top5_acc: 0.9912, loss_cls: 2.3174, loss: 2.3174 +2023-12-11 04:41:52,910 - pyskl - INFO - Epoch [20][500/1281] lr: 2.398e-02, eta: 18:38:05, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9875, loss_cls: 2.3012, loss: 2.3012 +2023-12-11 04:42:35,734 - pyskl - INFO - Epoch [20][600/1281] lr: 2.398e-02, eta: 18:37:43, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8150, top5_acc: 0.9950, loss_cls: 2.2727, loss: 2.2727 +2023-12-11 04:43:19,631 - pyskl - INFO - Epoch [20][700/1281] lr: 2.397e-02, eta: 18:37:28, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.7919, top5_acc: 0.9881, loss_cls: 2.3381, loss: 2.3381 +2023-12-11 04:44:03,087 - pyskl - INFO - Epoch [20][800/1281] lr: 2.396e-02, eta: 18:37:10, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7913, top5_acc: 0.9925, loss_cls: 2.3605, loss: 2.3605 +2023-12-11 04:44:46,619 - pyskl - INFO - Epoch [20][900/1281] lr: 2.395e-02, eta: 18:36:52, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7931, top5_acc: 0.9906, loss_cls: 2.3426, loss: 2.3426 +2023-12-11 04:45:29,858 - pyskl - INFO - Epoch [20][1000/1281] lr: 2.394e-02, eta: 18:36:33, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8163, top5_acc: 0.9869, loss_cls: 2.2820, loss: 2.2820 +2023-12-11 04:46:05,580 - pyskl - INFO - Epoch [20][1100/1281] lr: 2.393e-02, eta: 18:35:23, time: 0.357, data_time: 0.001, memory: 4120, top1_acc: 0.7987, top5_acc: 0.9894, loss_cls: 2.3138, loss: 2.3138 +2023-12-11 04:46:39,443 - pyskl - INFO - Epoch [20][1200/1281] lr: 2.393e-02, eta: 18:34:02, time: 0.339, data_time: 0.001, memory: 4120, top1_acc: 0.7981, top5_acc: 0.9862, loss_cls: 2.3033, loss: 2.3033 +2023-12-11 04:47:14,691 - pyskl - INFO - Saving checkpoint at 20 epochs +2023-12-11 04:48:29,153 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 04:48:29,212 - pyskl - INFO - +top1_acc 0.7240 +top5_acc 0.9792 +2023-12-11 04:48:29,213 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 04:48:29,221 - pyskl - INFO - +mean_acc 0.6321 +2023-12-11 04:48:29,224 - pyskl - INFO - Epoch(val) [20][533] top1_acc: 0.7240, top5_acc: 0.9792, mean_class_accuracy: 0.6321 +2023-12-11 04:49:33,137 - pyskl - INFO - Epoch [21][100/1281] lr: 2.391e-02, eta: 18:31:53, time: 0.639, data_time: 0.207, memory: 4120, top1_acc: 0.7963, top5_acc: 0.9938, loss_cls: 2.3140, loss: 2.3140 +2023-12-11 04:50:16,038 - pyskl - INFO - Epoch [21][200/1281] lr: 2.390e-02, eta: 18:31:31, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9912, loss_cls: 2.2739, loss: 2.2739 +2023-12-11 04:50:58,893 - pyskl - INFO - Epoch [21][300/1281] lr: 2.389e-02, eta: 18:31:09, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9894, loss_cls: 2.2141, loss: 2.2141 +2023-12-11 04:51:41,499 - pyskl - INFO - Epoch [21][400/1281] lr: 2.389e-02, eta: 18:30:45, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8025, top5_acc: 0.9869, loss_cls: 2.3465, loss: 2.3465 +2023-12-11 04:52:24,913 - pyskl - INFO - Epoch [21][500/1281] lr: 2.388e-02, eta: 18:30:26, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8044, top5_acc: 0.9888, loss_cls: 2.3026, loss: 2.3026 +2023-12-11 04:53:08,105 - pyskl - INFO - Epoch [21][600/1281] lr: 2.387e-02, eta: 18:30:05, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7944, top5_acc: 0.9900, loss_cls: 2.3391, loss: 2.3391 +2023-12-11 04:53:52,311 - pyskl - INFO - Epoch [21][700/1281] lr: 2.386e-02, eta: 18:29:50, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9900, loss_cls: 2.2275, loss: 2.2275 +2023-12-11 04:54:36,057 - pyskl - INFO - Epoch [21][800/1281] lr: 2.385e-02, eta: 18:29:33, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9862, loss_cls: 2.3092, loss: 2.3092 +2023-12-11 04:55:19,485 - pyskl - INFO - Epoch [21][900/1281] lr: 2.384e-02, eta: 18:29:13, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7825, top5_acc: 0.9919, loss_cls: 2.3620, loss: 2.3620 +2023-12-11 04:56:04,053 - pyskl - INFO - Epoch [21][1000/1281] lr: 2.383e-02, eta: 18:29:00, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.7881, top5_acc: 0.9856, loss_cls: 2.3467, loss: 2.3467 +2023-12-11 04:56:39,665 - pyskl - INFO - Epoch [21][1100/1281] lr: 2.383e-02, eta: 18:27:51, time: 0.356, data_time: 0.000, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9900, loss_cls: 2.2356, loss: 2.2356 +2023-12-11 04:57:13,779 - pyskl - INFO - Epoch [21][1200/1281] lr: 2.382e-02, eta: 18:26:34, time: 0.341, data_time: 0.001, memory: 4120, top1_acc: 0.8000, top5_acc: 0.9919, loss_cls: 2.2725, loss: 2.2725 +2023-12-11 04:57:49,095 - pyskl - INFO - Saving checkpoint at 21 epochs +2023-12-11 04:59:04,103 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 04:59:04,177 - pyskl - INFO - +top1_acc 0.7444 +top5_acc 0.9700 +2023-12-11 04:59:04,177 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 04:59:04,186 - pyskl - INFO - +mean_acc 0.6543 +2023-12-11 04:59:04,189 - pyskl - INFO - Epoch(val) [21][533] top1_acc: 0.7444, top5_acc: 0.9700, mean_class_accuracy: 0.6543 +2023-12-11 05:00:07,787 - pyskl - INFO - Epoch [22][100/1281] lr: 2.380e-02, eta: 18:24:25, time: 0.636, data_time: 0.205, memory: 4120, top1_acc: 0.8037, top5_acc: 0.9919, loss_cls: 2.2976, loss: 2.2976 +2023-12-11 05:00:50,900 - pyskl - INFO - Epoch [22][200/1281] lr: 2.379e-02, eta: 18:24:03, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8225, top5_acc: 0.9844, loss_cls: 2.2405, loss: 2.2405 +2023-12-11 05:01:33,335 - pyskl - INFO - Epoch [22][300/1281] lr: 2.378e-02, eta: 18:23:37, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.7906, top5_acc: 0.9912, loss_cls: 2.3140, loss: 2.3140 +2023-12-11 05:02:15,951 - pyskl - INFO - Epoch [22][400/1281] lr: 2.378e-02, eta: 18:23:12, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9881, loss_cls: 2.3175, loss: 2.3175 +2023-12-11 05:02:59,737 - pyskl - INFO - Epoch [22][500/1281] lr: 2.377e-02, eta: 18:22:54, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.7900, top5_acc: 0.9906, loss_cls: 2.3117, loss: 2.3117 +2023-12-11 05:03:43,555 - pyskl - INFO - Epoch [22][600/1281] lr: 2.376e-02, eta: 18:22:35, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9862, loss_cls: 2.2893, loss: 2.2893 +2023-12-11 05:04:27,036 - pyskl - INFO - Epoch [22][700/1281] lr: 2.375e-02, eta: 18:22:15, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8144, top5_acc: 0.9875, loss_cls: 2.2537, loss: 2.2537 +2023-12-11 05:05:11,167 - pyskl - INFO - Epoch [22][800/1281] lr: 2.374e-02, eta: 18:21:58, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9900, loss_cls: 2.2676, loss: 2.2676 +2023-12-11 05:05:54,702 - pyskl - INFO - Epoch [22][900/1281] lr: 2.373e-02, eta: 18:21:38, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9862, loss_cls: 2.2497, loss: 2.2497 +2023-12-11 05:06:37,145 - pyskl - INFO - Epoch [22][1000/1281] lr: 2.372e-02, eta: 18:21:10, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9881, loss_cls: 2.2702, loss: 2.2702 +2023-12-11 05:07:14,851 - pyskl - INFO - Epoch [22][1100/1281] lr: 2.371e-02, eta: 18:20:15, time: 0.377, data_time: 0.001, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9869, loss_cls: 2.2880, loss: 2.2880 +2023-12-11 05:07:42,787 - pyskl - INFO - Epoch [22][1200/1281] lr: 2.370e-02, eta: 18:18:23, time: 0.279, data_time: 0.001, memory: 4120, top1_acc: 0.8194, top5_acc: 0.9925, loss_cls: 2.2404, loss: 2.2404 +2023-12-11 05:08:19,731 - pyskl - INFO - Saving checkpoint at 22 epochs +2023-12-11 05:09:27,299 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 05:09:27,372 - pyskl - INFO - +top1_acc 0.7511 +top5_acc 0.9775 +2023-12-11 05:09:27,372 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 05:09:27,384 - pyskl - INFO - +mean_acc 0.6339 +2023-12-11 05:09:27,387 - pyskl - INFO - Epoch(val) [22][533] top1_acc: 0.7511, top5_acc: 0.9775, mean_class_accuracy: 0.6339 +2023-12-11 05:10:29,727 - pyskl - INFO - Epoch [23][100/1281] lr: 2.369e-02, eta: 18:16:11, time: 0.623, data_time: 0.196, memory: 4120, top1_acc: 0.8063, top5_acc: 0.9825, loss_cls: 2.2975, loss: 2.2975 +2023-12-11 05:11:12,389 - pyskl - INFO - Epoch [23][200/1281] lr: 2.368e-02, eta: 18:15:45, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9906, loss_cls: 2.2347, loss: 2.2347 +2023-12-11 05:11:55,764 - pyskl - INFO - Epoch [23][300/1281] lr: 2.367e-02, eta: 18:15:23, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8100, top5_acc: 0.9919, loss_cls: 2.2586, loss: 2.2586 +2023-12-11 05:12:39,842 - pyskl - INFO - Epoch [23][400/1281] lr: 2.366e-02, eta: 18:15:06, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8119, top5_acc: 0.9888, loss_cls: 2.2469, loss: 2.2469 +2023-12-11 05:13:24,193 - pyskl - INFO - Epoch [23][500/1281] lr: 2.365e-02, eta: 18:14:49, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8081, top5_acc: 0.9888, loss_cls: 2.3018, loss: 2.3018 +2023-12-11 05:14:07,739 - pyskl - INFO - Epoch [23][600/1281] lr: 2.364e-02, eta: 18:14:28, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9881, loss_cls: 2.1874, loss: 2.1874 +2023-12-11 05:14:52,246 - pyskl - INFO - Epoch [23][700/1281] lr: 2.363e-02, eta: 18:14:12, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9888, loss_cls: 2.2728, loss: 2.2728 +2023-12-11 05:15:36,556 - pyskl - INFO - Epoch [23][800/1281] lr: 2.362e-02, eta: 18:13:55, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9856, loss_cls: 2.3575, loss: 2.3575 +2023-12-11 05:16:19,415 - pyskl - INFO - Epoch [23][900/1281] lr: 2.361e-02, eta: 18:13:30, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8119, top5_acc: 0.9875, loss_cls: 2.2651, loss: 2.2651 +2023-12-11 05:17:02,314 - pyskl - INFO - Epoch [23][1000/1281] lr: 2.360e-02, eta: 18:13:04, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8019, top5_acc: 0.9925, loss_cls: 2.2719, loss: 2.2719 +2023-12-11 05:17:43,526 - pyskl - INFO - Epoch [23][1100/1281] lr: 2.359e-02, eta: 18:12:30, time: 0.412, data_time: 0.000, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9925, loss_cls: 2.1993, loss: 2.1993 +2023-12-11 05:18:07,552 - pyskl - INFO - Epoch [23][1200/1281] lr: 2.359e-02, eta: 18:10:19, time: 0.240, data_time: 0.001, memory: 4120, top1_acc: 0.7881, top5_acc: 0.9888, loss_cls: 2.3102, loss: 2.3102 +2023-12-11 05:18:44,463 - pyskl - INFO - Saving checkpoint at 23 epochs +2023-12-11 05:19:49,627 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 05:19:49,684 - pyskl - INFO - +top1_acc 0.7962 +top5_acc 0.9847 +2023-12-11 05:19:49,684 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 05:19:49,691 - pyskl - INFO - +mean_acc 0.7119 +2023-12-11 05:19:49,696 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_18.pth was removed +2023-12-11 05:19:49,901 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2023-12-11 05:19:49,901 - pyskl - INFO - Best top1_acc is 0.7962 at 23 epoch. +2023-12-11 05:19:49,905 - pyskl - INFO - Epoch(val) [23][533] top1_acc: 0.7962, top5_acc: 0.9847, mean_class_accuracy: 0.7119 +2023-12-11 05:20:52,375 - pyskl - INFO - Epoch [24][100/1281] lr: 2.357e-02, eta: 18:08:10, time: 0.625, data_time: 0.190, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9900, loss_cls: 2.2078, loss: 2.2078 +2023-12-11 05:21:35,193 - pyskl - INFO - Epoch [24][200/1281] lr: 2.356e-02, eta: 18:07:45, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8225, top5_acc: 0.9888, loss_cls: 2.2166, loss: 2.2166 +2023-12-11 05:22:19,105 - pyskl - INFO - Epoch [24][300/1281] lr: 2.355e-02, eta: 18:07:25, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8287, top5_acc: 0.9906, loss_cls: 2.1864, loss: 2.1864 +2023-12-11 05:23:03,462 - pyskl - INFO - Epoch [24][400/1281] lr: 2.354e-02, eta: 18:07:07, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8194, top5_acc: 0.9862, loss_cls: 2.2837, loss: 2.2837 +2023-12-11 05:23:48,117 - pyskl - INFO - Epoch [24][500/1281] lr: 2.353e-02, eta: 18:06:51, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8050, top5_acc: 0.9919, loss_cls: 2.2849, loss: 2.2849 +2023-12-11 05:24:33,085 - pyskl - INFO - Epoch [24][600/1281] lr: 2.352e-02, eta: 18:06:37, time: 0.450, data_time: 0.002, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9912, loss_cls: 2.2221, loss: 2.2221 +2023-12-11 05:25:17,057 - pyskl - INFO - Epoch [24][700/1281] lr: 2.351e-02, eta: 18:06:17, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.7987, top5_acc: 0.9931, loss_cls: 2.2564, loss: 2.2564 +2023-12-11 05:25:59,555 - pyskl - INFO - Epoch [24][800/1281] lr: 2.350e-02, eta: 18:05:48, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8100, top5_acc: 0.9900, loss_cls: 2.2367, loss: 2.2367 +2023-12-11 05:26:42,980 - pyskl - INFO - Epoch [24][900/1281] lr: 2.349e-02, eta: 18:05:25, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9912, loss_cls: 2.2117, loss: 2.2117 +2023-12-11 05:27:25,993 - pyskl - INFO - Epoch [24][1000/1281] lr: 2.348e-02, eta: 18:05:00, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9869, loss_cls: 2.3445, loss: 2.3445 +2023-12-11 05:28:09,087 - pyskl - INFO - Epoch [24][1100/1281] lr: 2.347e-02, eta: 18:04:34, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9919, loss_cls: 2.2096, loss: 2.2096 +2023-12-11 05:28:31,155 - pyskl - INFO - Epoch [24][1200/1281] lr: 2.346e-02, eta: 18:02:18, time: 0.221, data_time: 0.000, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9912, loss_cls: 2.2027, loss: 2.2027 +2023-12-11 05:29:07,989 - pyskl - INFO - Saving checkpoint at 24 epochs +2023-12-11 05:30:10,122 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 05:30:10,176 - pyskl - INFO - +top1_acc 0.7668 +top5_acc 0.9818 +2023-12-11 05:30:10,176 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 05:30:10,183 - pyskl - INFO - +mean_acc 0.6567 +2023-12-11 05:30:10,185 - pyskl - INFO - Epoch(val) [24][533] top1_acc: 0.7668, top5_acc: 0.9818, mean_class_accuracy: 0.6567 +2023-12-11 05:31:11,896 - pyskl - INFO - Epoch [25][100/1281] lr: 2.344e-02, eta: 18:00:07, time: 0.617, data_time: 0.184, memory: 4120, top1_acc: 0.8025, top5_acc: 0.9856, loss_cls: 2.2591, loss: 2.2591 +2023-12-11 05:31:55,881 - pyskl - INFO - Epoch [25][200/1281] lr: 2.343e-02, eta: 17:59:47, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8075, top5_acc: 0.9900, loss_cls: 2.2405, loss: 2.2405 +2023-12-11 05:32:40,601 - pyskl - INFO - Epoch [25][300/1281] lr: 2.342e-02, eta: 17:59:30, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8087, top5_acc: 0.9900, loss_cls: 2.2272, loss: 2.2272 +2023-12-11 05:33:24,831 - pyskl - INFO - Epoch [25][400/1281] lr: 2.341e-02, eta: 17:59:11, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9888, loss_cls: 2.2041, loss: 2.2041 +2023-12-11 05:34:08,998 - pyskl - INFO - Epoch [25][500/1281] lr: 2.340e-02, eta: 17:58:51, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8050, top5_acc: 0.9912, loss_cls: 2.2870, loss: 2.2870 +2023-12-11 05:34:52,577 - pyskl - INFO - Epoch [25][600/1281] lr: 2.339e-02, eta: 17:58:28, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8144, top5_acc: 0.9919, loss_cls: 2.2924, loss: 2.2924 +2023-12-11 05:35:35,196 - pyskl - INFO - Epoch [25][700/1281] lr: 2.338e-02, eta: 17:58:00, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9919, loss_cls: 2.2482, loss: 2.2482 +2023-12-11 05:36:18,309 - pyskl - INFO - Epoch [25][800/1281] lr: 2.337e-02, eta: 17:57:34, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9938, loss_cls: 2.1504, loss: 2.1504 +2023-12-11 05:37:01,059 - pyskl - INFO - Epoch [25][900/1281] lr: 2.336e-02, eta: 17:57:07, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8287, top5_acc: 0.9894, loss_cls: 2.1902, loss: 2.1902 +2023-12-11 05:37:44,053 - pyskl - INFO - Epoch [25][1000/1281] lr: 2.335e-02, eta: 17:56:40, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9906, loss_cls: 2.2445, loss: 2.2445 +2023-12-11 05:38:27,028 - pyskl - INFO - Epoch [25][1100/1281] lr: 2.334e-02, eta: 17:56:13, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.7969, top5_acc: 0.9869, loss_cls: 2.3577, loss: 2.3577 +2023-12-11 05:38:51,830 - pyskl - INFO - Epoch [25][1200/1281] lr: 2.333e-02, eta: 17:54:16, time: 0.248, data_time: 0.001, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9900, loss_cls: 2.2605, loss: 2.2605 +2023-12-11 05:39:28,972 - pyskl - INFO - Saving checkpoint at 25 epochs +2023-12-11 05:40:32,595 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 05:40:32,676 - pyskl - INFO - +top1_acc 0.7685 +top5_acc 0.9802 +2023-12-11 05:40:32,676 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 05:40:32,697 - pyskl - INFO - +mean_acc 0.6738 +2023-12-11 05:40:32,706 - pyskl - INFO - Epoch(val) [25][533] top1_acc: 0.7685, top5_acc: 0.9802, mean_class_accuracy: 0.6738 +2023-12-11 05:41:39,726 - pyskl - INFO - Epoch [26][100/1281] lr: 2.332e-02, eta: 17:52:34, time: 0.670, data_time: 0.232, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9931, loss_cls: 2.1972, loss: 2.1972 +2023-12-11 05:42:24,066 - pyskl - INFO - Epoch [26][200/1281] lr: 2.330e-02, eta: 17:52:14, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8275, top5_acc: 0.9950, loss_cls: 2.1644, loss: 2.1644 +2023-12-11 05:43:08,813 - pyskl - INFO - Epoch [26][300/1281] lr: 2.329e-02, eta: 17:51:56, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8206, top5_acc: 0.9925, loss_cls: 2.2121, loss: 2.2121 +2023-12-11 05:43:51,784 - pyskl - INFO - Epoch [26][400/1281] lr: 2.328e-02, eta: 17:51:29, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8187, top5_acc: 0.9900, loss_cls: 2.2253, loss: 2.2253 +2023-12-11 05:44:34,266 - pyskl - INFO - Epoch [26][500/1281] lr: 2.327e-02, eta: 17:51:00, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9931, loss_cls: 2.2280, loss: 2.2280 +2023-12-11 05:45:16,999 - pyskl - INFO - Epoch [26][600/1281] lr: 2.326e-02, eta: 17:50:32, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9919, loss_cls: 2.1942, loss: 2.1942 +2023-12-11 05:46:00,107 - pyskl - INFO - Epoch [26][700/1281] lr: 2.325e-02, eta: 17:50:05, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8381, top5_acc: 0.9906, loss_cls: 2.1668, loss: 2.1668 +2023-12-11 05:46:43,266 - pyskl - INFO - Epoch [26][800/1281] lr: 2.324e-02, eta: 17:49:39, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8094, top5_acc: 0.9838, loss_cls: 2.3136, loss: 2.3136 +2023-12-11 05:47:27,014 - pyskl - INFO - Epoch [26][900/1281] lr: 2.323e-02, eta: 17:49:16, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8231, top5_acc: 0.9912, loss_cls: 2.2306, loss: 2.2306 +2023-12-11 05:48:10,502 - pyskl - INFO - Epoch [26][1000/1281] lr: 2.322e-02, eta: 17:48:51, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9856, loss_cls: 2.2403, loss: 2.2403 +2023-12-11 05:48:52,977 - pyskl - INFO - Epoch [26][1100/1281] lr: 2.321e-02, eta: 17:48:21, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8287, top5_acc: 0.9906, loss_cls: 2.1718, loss: 2.1718 +2023-12-11 05:49:19,462 - pyskl - INFO - Epoch [26][1200/1281] lr: 2.320e-02, eta: 17:46:34, time: 0.265, data_time: 0.001, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9881, loss_cls: 2.2215, loss: 2.2215 +2023-12-11 05:49:56,493 - pyskl - INFO - Saving checkpoint at 26 epochs +2023-12-11 05:51:04,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 05:51:04,932 - pyskl - INFO - +top1_acc 0.7990 +top5_acc 0.9853 +2023-12-11 05:51:04,932 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 05:51:04,945 - pyskl - INFO - +mean_acc 0.7116 +2023-12-11 05:51:04,952 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_23.pth was removed +2023-12-11 05:51:05,224 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. +2023-12-11 05:51:05,225 - pyskl - INFO - Best top1_acc is 0.7990 at 26 epoch. +2023-12-11 05:51:05,234 - pyskl - INFO - Epoch(val) [26][533] top1_acc: 0.7990, top5_acc: 0.9853, mean_class_accuracy: 0.7116 +2023-12-11 05:52:12,759 - pyskl - INFO - Epoch [27][100/1281] lr: 2.318e-02, eta: 17:44:56, time: 0.675, data_time: 0.243, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9969, loss_cls: 2.1427, loss: 2.1427 +2023-12-11 05:52:56,821 - pyskl - INFO - Epoch [27][200/1281] lr: 2.317e-02, eta: 17:44:34, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9912, loss_cls: 2.2434, loss: 2.2434 +2023-12-11 05:53:40,617 - pyskl - INFO - Epoch [27][300/1281] lr: 2.316e-02, eta: 17:44:10, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9950, loss_cls: 2.1506, loss: 2.1506 +2023-12-11 05:54:23,827 - pyskl - INFO - Epoch [27][400/1281] lr: 2.315e-02, eta: 17:43:44, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9912, loss_cls: 2.2536, loss: 2.2536 +2023-12-11 05:55:06,937 - pyskl - INFO - Epoch [27][500/1281] lr: 2.314e-02, eta: 17:43:17, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8206, top5_acc: 0.9919, loss_cls: 2.2289, loss: 2.2289 +2023-12-11 05:55:50,292 - pyskl - INFO - Epoch [27][600/1281] lr: 2.313e-02, eta: 17:42:51, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8169, top5_acc: 0.9925, loss_cls: 2.2187, loss: 2.2187 +2023-12-11 05:56:33,809 - pyskl - INFO - Epoch [27][700/1281] lr: 2.312e-02, eta: 17:42:25, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8013, top5_acc: 0.9906, loss_cls: 2.2605, loss: 2.2605 +2023-12-11 05:57:16,747 - pyskl - INFO - Epoch [27][800/1281] lr: 2.311e-02, eta: 17:41:57, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9894, loss_cls: 2.2076, loss: 2.2076 +2023-12-11 05:57:59,407 - pyskl - INFO - Epoch [27][900/1281] lr: 2.310e-02, eta: 17:41:28, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9875, loss_cls: 2.1649, loss: 2.1649 +2023-12-11 05:58:41,943 - pyskl - INFO - Epoch [27][1000/1281] lr: 2.308e-02, eta: 17:40:58, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9919, loss_cls: 2.2325, loss: 2.2325 +2023-12-11 05:59:20,839 - pyskl - INFO - Epoch [27][1100/1281] lr: 2.307e-02, eta: 17:40:11, time: 0.389, data_time: 0.001, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9906, loss_cls: 2.1714, loss: 2.1714 +2023-12-11 05:59:47,663 - pyskl - INFO - Epoch [27][1200/1281] lr: 2.306e-02, eta: 17:38:29, time: 0.268, data_time: 0.001, memory: 4120, top1_acc: 0.8275, top5_acc: 0.9931, loss_cls: 2.2193, loss: 2.2193 +2023-12-11 06:00:24,594 - pyskl - INFO - Saving checkpoint at 27 epochs +2023-12-11 06:01:38,496 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 06:01:38,568 - pyskl - INFO - +top1_acc 0.7704 +top5_acc 0.9770 +2023-12-11 06:01:38,568 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 06:01:38,578 - pyskl - INFO - +mean_acc 0.6833 +2023-12-11 06:01:38,581 - pyskl - INFO - Epoch(val) [27][533] top1_acc: 0.7704, top5_acc: 0.9770, mean_class_accuracy: 0.6833 +2023-12-11 06:02:46,466 - pyskl - INFO - Epoch [28][100/1281] lr: 2.304e-02, eta: 17:36:53, time: 0.679, data_time: 0.238, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9950, loss_cls: 2.1787, loss: 2.1787 +2023-12-11 06:03:30,893 - pyskl - INFO - Epoch [28][200/1281] lr: 2.303e-02, eta: 17:36:31, time: 0.444, data_time: 0.002, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9912, loss_cls: 2.1091, loss: 2.1091 +2023-12-11 06:04:14,332 - pyskl - INFO - Epoch [28][300/1281] lr: 2.302e-02, eta: 17:36:05, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9925, loss_cls: 2.1650, loss: 2.1650 +2023-12-11 06:04:57,344 - pyskl - INFO - Epoch [28][400/1281] lr: 2.301e-02, eta: 17:35:37, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9888, loss_cls: 2.1746, loss: 2.1746 +2023-12-11 06:05:40,340 - pyskl - INFO - Epoch [28][500/1281] lr: 2.300e-02, eta: 17:35:09, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8113, top5_acc: 0.9900, loss_cls: 2.2412, loss: 2.2412 +2023-12-11 06:06:23,177 - pyskl - INFO - Epoch [28][600/1281] lr: 2.299e-02, eta: 17:34:40, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9919, loss_cls: 2.1771, loss: 2.1771 +2023-12-11 06:07:05,598 - pyskl - INFO - Epoch [28][700/1281] lr: 2.298e-02, eta: 17:34:09, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8131, top5_acc: 0.9888, loss_cls: 2.2317, loss: 2.2317 +2023-12-11 06:07:49,211 - pyskl - INFO - Epoch [28][800/1281] lr: 2.297e-02, eta: 17:33:43, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9944, loss_cls: 2.1230, loss: 2.1230 +2023-12-11 06:08:32,587 - pyskl - INFO - Epoch [28][900/1281] lr: 2.295e-02, eta: 17:33:16, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8119, top5_acc: 0.9938, loss_cls: 2.2454, loss: 2.2454 +2023-12-11 06:09:16,189 - pyskl - INFO - Epoch [28][1000/1281] lr: 2.294e-02, eta: 17:32:50, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9881, loss_cls: 2.1598, loss: 2.1598 +2023-12-11 06:09:54,313 - pyskl - INFO - Epoch [28][1100/1281] lr: 2.293e-02, eta: 17:32:00, time: 0.381, data_time: 0.001, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9912, loss_cls: 2.2603, loss: 2.2603 +2023-12-11 06:10:22,011 - pyskl - INFO - Epoch [28][1200/1281] lr: 2.292e-02, eta: 17:30:25, time: 0.277, data_time: 0.001, memory: 4120, top1_acc: 0.8163, top5_acc: 0.9894, loss_cls: 2.2908, loss: 2.2908 +2023-12-11 06:10:59,233 - pyskl - INFO - Saving checkpoint at 28 epochs +2023-12-11 06:12:14,458 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 06:12:14,518 - pyskl - INFO - +top1_acc 0.7675 +top5_acc 0.9823 +2023-12-11 06:12:14,518 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 06:12:14,528 - pyskl - INFO - +mean_acc 0.6664 +2023-12-11 06:12:14,533 - pyskl - INFO - Epoch(val) [28][533] top1_acc: 0.7675, top5_acc: 0.9823, mean_class_accuracy: 0.6664 +2023-12-11 06:13:21,417 - pyskl - INFO - Epoch [29][100/1281] lr: 2.290e-02, eta: 17:28:45, time: 0.669, data_time: 0.229, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9919, loss_cls: 2.1417, loss: 2.1417 +2023-12-11 06:14:05,789 - pyskl - INFO - Epoch [29][200/1281] lr: 2.289e-02, eta: 17:28:23, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9931, loss_cls: 2.1252, loss: 2.1252 +2023-12-11 06:14:48,911 - pyskl - INFO - Epoch [29][300/1281] lr: 2.288e-02, eta: 17:27:55, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9925, loss_cls: 2.1671, loss: 2.1671 +2023-12-11 06:15:32,185 - pyskl - INFO - Epoch [29][400/1281] lr: 2.287e-02, eta: 17:27:27, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8381, top5_acc: 0.9956, loss_cls: 2.1620, loss: 2.1620 +2023-12-11 06:16:15,356 - pyskl - INFO - Epoch [29][500/1281] lr: 2.285e-02, eta: 17:26:59, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9969, loss_cls: 2.1870, loss: 2.1870 +2023-12-11 06:16:58,506 - pyskl - INFO - Epoch [29][600/1281] lr: 2.284e-02, eta: 17:26:31, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9919, loss_cls: 2.1945, loss: 2.1945 +2023-12-11 06:17:41,434 - pyskl - INFO - Epoch [29][700/1281] lr: 2.283e-02, eta: 17:26:01, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9919, loss_cls: 2.1876, loss: 2.1876 +2023-12-11 06:18:24,873 - pyskl - INFO - Epoch [29][800/1281] lr: 2.282e-02, eta: 17:25:34, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8219, top5_acc: 0.9925, loss_cls: 2.1994, loss: 2.1994 +2023-12-11 06:19:07,829 - pyskl - INFO - Epoch [29][900/1281] lr: 2.281e-02, eta: 17:25:05, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8181, top5_acc: 0.9931, loss_cls: 2.2167, loss: 2.2167 +2023-12-11 06:19:50,869 - pyskl - INFO - Epoch [29][1000/1281] lr: 2.280e-02, eta: 17:24:36, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9919, loss_cls: 2.1981, loss: 2.1981 +2023-12-11 06:20:27,612 - pyskl - INFO - Epoch [29][1100/1281] lr: 2.279e-02, eta: 17:23:40, time: 0.367, data_time: 0.001, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9931, loss_cls: 2.2128, loss: 2.2128 +2023-12-11 06:20:59,344 - pyskl - INFO - Epoch [29][1200/1281] lr: 2.277e-02, eta: 17:22:24, time: 0.317, data_time: 0.001, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9912, loss_cls: 2.2498, loss: 2.2498 +2023-12-11 06:21:36,988 - pyskl - INFO - Saving checkpoint at 29 epochs +2023-12-11 06:22:56,707 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 06:22:56,780 - pyskl - INFO - +top1_acc 0.7505 +top5_acc 0.9808 +2023-12-11 06:22:56,781 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 06:22:56,793 - pyskl - INFO - +mean_acc 0.6739 +2023-12-11 06:22:56,796 - pyskl - INFO - Epoch(val) [29][533] top1_acc: 0.7505, top5_acc: 0.9808, mean_class_accuracy: 0.6739 +2023-12-11 06:24:02,523 - pyskl - INFO - Epoch [30][100/1281] lr: 2.275e-02, eta: 17:20:40, time: 0.657, data_time: 0.223, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9875, loss_cls: 2.2213, loss: 2.2213 +2023-12-11 06:24:45,652 - pyskl - INFO - Epoch [30][200/1281] lr: 2.274e-02, eta: 17:20:12, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9912, loss_cls: 2.2220, loss: 2.2220 +2023-12-11 06:25:28,912 - pyskl - INFO - Epoch [30][300/1281] lr: 2.273e-02, eta: 17:19:44, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9919, loss_cls: 2.1258, loss: 2.1258 +2023-12-11 06:26:11,563 - pyskl - INFO - Epoch [30][400/1281] lr: 2.272e-02, eta: 17:19:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8294, top5_acc: 0.9888, loss_cls: 2.2078, loss: 2.2078 +2023-12-11 06:26:54,683 - pyskl - INFO - Epoch [30][500/1281] lr: 2.271e-02, eta: 17:18:44, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9925, loss_cls: 2.1280, loss: 2.1280 +2023-12-11 06:27:37,960 - pyskl - INFO - Epoch [30][600/1281] lr: 2.269e-02, eta: 17:18:16, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8431, top5_acc: 0.9900, loss_cls: 2.1740, loss: 2.1740 +2023-12-11 06:28:20,880 - pyskl - INFO - Epoch [30][700/1281] lr: 2.268e-02, eta: 17:17:46, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8175, top5_acc: 0.9906, loss_cls: 2.2602, loss: 2.2602 +2023-12-11 06:29:03,902 - pyskl - INFO - Epoch [30][800/1281] lr: 2.267e-02, eta: 17:17:16, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9944, loss_cls: 2.1451, loss: 2.1451 +2023-12-11 06:29:47,987 - pyskl - INFO - Epoch [30][900/1281] lr: 2.266e-02, eta: 17:16:51, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9919, loss_cls: 2.1691, loss: 2.1691 +2023-12-11 06:30:31,673 - pyskl - INFO - Epoch [30][1000/1281] lr: 2.265e-02, eta: 17:16:24, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9906, loss_cls: 2.1648, loss: 2.1648 +2023-12-11 06:31:05,550 - pyskl - INFO - Epoch [30][1100/1281] lr: 2.263e-02, eta: 17:15:17, time: 0.339, data_time: 0.001, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9919, loss_cls: 2.1087, loss: 2.1087 +2023-12-11 06:31:42,084 - pyskl - INFO - Epoch [30][1200/1281] lr: 2.262e-02, eta: 17:14:22, time: 0.365, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9925, loss_cls: 2.1445, loss: 2.1445 +2023-12-11 06:32:16,635 - pyskl - INFO - Saving checkpoint at 30 epochs +2023-12-11 06:33:35,484 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 06:33:35,614 - pyskl - INFO - +top1_acc 0.8160 +top5_acc 0.9884 +2023-12-11 06:33:35,615 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 06:33:35,624 - pyskl - INFO - +mean_acc 0.7224 +2023-12-11 06:33:35,631 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_26.pth was removed +2023-12-11 06:33:35,847 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. +2023-12-11 06:33:35,847 - pyskl - INFO - Best top1_acc is 0.8160 at 30 epoch. +2023-12-11 06:33:35,851 - pyskl - INFO - Epoch(val) [30][533] top1_acc: 0.8160, top5_acc: 0.9884, mean_class_accuracy: 0.7224 +2023-12-11 06:34:38,467 - pyskl - INFO - Epoch [31][100/1281] lr: 2.260e-02, eta: 17:12:27, time: 0.626, data_time: 0.190, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9969, loss_cls: 2.1011, loss: 2.1011 +2023-12-11 06:35:21,701 - pyskl - INFO - Epoch [31][200/1281] lr: 2.259e-02, eta: 17:11:58, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9950, loss_cls: 2.2073, loss: 2.2073 +2023-12-11 06:36:04,469 - pyskl - INFO - Epoch [31][300/1281] lr: 2.258e-02, eta: 17:11:28, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9906, loss_cls: 2.2204, loss: 2.2204 +2023-12-11 06:36:47,622 - pyskl - INFO - Epoch [31][400/1281] lr: 2.256e-02, eta: 17:10:58, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9919, loss_cls: 2.2216, loss: 2.2216 +2023-12-11 06:37:30,782 - pyskl - INFO - Epoch [31][500/1281] lr: 2.255e-02, eta: 17:10:29, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8500, top5_acc: 0.9944, loss_cls: 2.1166, loss: 2.1166 +2023-12-11 06:38:13,716 - pyskl - INFO - Epoch [31][600/1281] lr: 2.254e-02, eta: 17:09:59, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9944, loss_cls: 2.1760, loss: 2.1760 +2023-12-11 06:38:56,599 - pyskl - INFO - Epoch [31][700/1281] lr: 2.253e-02, eta: 17:09:28, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8275, top5_acc: 0.9919, loss_cls: 2.1845, loss: 2.1845 +2023-12-11 06:39:39,573 - pyskl - INFO - Epoch [31][800/1281] lr: 2.252e-02, eta: 17:08:58, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9938, loss_cls: 2.0415, loss: 2.0415 +2023-12-11 06:40:23,038 - pyskl - INFO - Epoch [31][900/1281] lr: 2.250e-02, eta: 17:08:30, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9925, loss_cls: 2.1821, loss: 2.1821 +2023-12-11 06:41:06,955 - pyskl - INFO - Epoch [31][1000/1281] lr: 2.249e-02, eta: 17:08:03, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9931, loss_cls: 2.1695, loss: 2.1695 +2023-12-11 06:41:40,522 - pyskl - INFO - Epoch [31][1100/1281] lr: 2.248e-02, eta: 17:06:56, time: 0.336, data_time: 0.001, memory: 4120, top1_acc: 0.8163, top5_acc: 0.9888, loss_cls: 2.2410, loss: 2.2410 +2023-12-11 06:42:17,844 - pyskl - INFO - Epoch [31][1200/1281] lr: 2.247e-02, eta: 17:06:04, time: 0.373, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9925, loss_cls: 2.1853, loss: 2.1853 +2023-12-11 06:42:51,048 - pyskl - INFO - Saving checkpoint at 31 epochs +2023-12-11 06:44:05,492 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 06:44:05,555 - pyskl - INFO - +top1_acc 0.7970 +top5_acc 0.9833 +2023-12-11 06:44:05,556 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 06:44:05,570 - pyskl - INFO - +mean_acc 0.7331 +2023-12-11 06:44:05,574 - pyskl - INFO - Epoch(val) [31][533] top1_acc: 0.7970, top5_acc: 0.9833, mean_class_accuracy: 0.7331 +2023-12-11 06:45:08,810 - pyskl - INFO - Epoch [32][100/1281] lr: 2.244e-02, eta: 17:04:14, time: 0.632, data_time: 0.205, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9938, loss_cls: 2.1126, loss: 2.1126 +2023-12-11 06:45:52,177 - pyskl - INFO - Epoch [32][200/1281] lr: 2.243e-02, eta: 17:03:45, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9919, loss_cls: 2.1015, loss: 2.1015 +2023-12-11 06:46:35,256 - pyskl - INFO - Epoch [32][300/1281] lr: 2.242e-02, eta: 17:03:15, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9944, loss_cls: 2.1087, loss: 2.1087 +2023-12-11 06:47:17,859 - pyskl - INFO - Epoch [32][400/1281] lr: 2.241e-02, eta: 17:02:43, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9938, loss_cls: 2.0884, loss: 2.0884 +2023-12-11 06:48:00,791 - pyskl - INFO - Epoch [32][500/1281] lr: 2.239e-02, eta: 17:02:12, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9900, loss_cls: 2.2067, loss: 2.2067 +2023-12-11 06:48:43,383 - pyskl - INFO - Epoch [32][600/1281] lr: 2.238e-02, eta: 17:01:40, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9900, loss_cls: 2.1623, loss: 2.1623 +2023-12-11 06:49:26,316 - pyskl - INFO - Epoch [32][700/1281] lr: 2.237e-02, eta: 17:01:10, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9931, loss_cls: 2.1501, loss: 2.1501 +2023-12-11 06:50:11,140 - pyskl - INFO - Epoch [32][800/1281] lr: 2.236e-02, eta: 17:00:46, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9944, loss_cls: 2.1020, loss: 2.1020 +2023-12-11 06:50:55,224 - pyskl - INFO - Epoch [32][900/1281] lr: 2.234e-02, eta: 17:00:19, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9912, loss_cls: 2.1822, loss: 2.1822 +2023-12-11 06:51:39,120 - pyskl - INFO - Epoch [32][1000/1281] lr: 2.233e-02, eta: 16:59:52, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9925, loss_cls: 2.1299, loss: 2.1299 +2023-12-11 06:52:15,776 - pyskl - INFO - Epoch [32][1100/1281] lr: 2.232e-02, eta: 16:58:57, time: 0.367, data_time: 0.001, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9919, loss_cls: 2.1822, loss: 2.1822 +2023-12-11 06:52:50,257 - pyskl - INFO - Epoch [32][1200/1281] lr: 2.231e-02, eta: 16:57:55, time: 0.345, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9919, loss_cls: 2.1216, loss: 2.1216 +2023-12-11 06:53:26,466 - pyskl - INFO - Saving checkpoint at 32 epochs +2023-12-11 06:54:38,629 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 06:54:38,695 - pyskl - INFO - +top1_acc 0.7615 +top5_acc 0.9796 +2023-12-11 06:54:38,696 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 06:54:38,709 - pyskl - INFO - +mean_acc 0.6814 +2023-12-11 06:54:38,714 - pyskl - INFO - Epoch(val) [32][533] top1_acc: 0.7615, top5_acc: 0.9796, mean_class_accuracy: 0.6814 +2023-12-11 06:55:41,830 - pyskl - INFO - Epoch [33][100/1281] lr: 2.228e-02, eta: 16:56:05, time: 0.631, data_time: 0.203, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9956, loss_cls: 2.0502, loss: 2.0502 +2023-12-11 06:56:25,222 - pyskl - INFO - Epoch [33][200/1281] lr: 2.227e-02, eta: 16:55:36, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9931, loss_cls: 2.1087, loss: 2.1087 +2023-12-11 06:57:07,753 - pyskl - INFO - Epoch [33][300/1281] lr: 2.226e-02, eta: 16:55:04, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9925, loss_cls: 2.1575, loss: 2.1575 +2023-12-11 06:57:50,244 - pyskl - INFO - Epoch [33][400/1281] lr: 2.225e-02, eta: 16:54:31, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9962, loss_cls: 2.1858, loss: 2.1858 +2023-12-11 06:58:33,304 - pyskl - INFO - Epoch [33][500/1281] lr: 2.223e-02, eta: 16:54:00, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9912, loss_cls: 2.1799, loss: 2.1799 +2023-12-11 06:59:15,822 - pyskl - INFO - Epoch [33][600/1281] lr: 2.222e-02, eta: 16:53:28, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9944, loss_cls: 2.1904, loss: 2.1904 +2023-12-11 06:59:59,014 - pyskl - INFO - Epoch [33][700/1281] lr: 2.221e-02, eta: 16:52:57, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9950, loss_cls: 2.1899, loss: 2.1899 +2023-12-11 07:00:42,671 - pyskl - INFO - Epoch [33][800/1281] lr: 2.219e-02, eta: 16:52:29, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9912, loss_cls: 2.1499, loss: 2.1499 +2023-12-11 07:01:26,721 - pyskl - INFO - Epoch [33][900/1281] lr: 2.218e-02, eta: 16:52:01, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8294, top5_acc: 0.9900, loss_cls: 2.2082, loss: 2.2082 +2023-12-11 07:02:11,547 - pyskl - INFO - Epoch [33][1000/1281] lr: 2.217e-02, eta: 16:51:37, time: 0.448, data_time: 0.001, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9938, loss_cls: 2.1460, loss: 2.1460 +2023-12-11 07:02:51,511 - pyskl - INFO - Epoch [33][1100/1281] lr: 2.216e-02, eta: 16:50:55, time: 0.400, data_time: 0.001, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9881, loss_cls: 2.2013, loss: 2.2013 +2023-12-11 07:03:18,679 - pyskl - INFO - Epoch [33][1200/1281] lr: 2.214e-02, eta: 16:49:27, time: 0.272, data_time: 0.001, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9944, loss_cls: 2.1121, loss: 2.1121 +2023-12-11 07:03:55,309 - pyskl - INFO - Saving checkpoint at 33 epochs +2023-12-11 07:04:58,966 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 07:04:59,036 - pyskl - INFO - +top1_acc 0.7883 +top5_acc 0.9871 +2023-12-11 07:04:59,036 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 07:04:59,044 - pyskl - INFO - +mean_acc 0.6954 +2023-12-11 07:04:59,047 - pyskl - INFO - Epoch(val) [33][533] top1_acc: 0.7883, top5_acc: 0.9871, mean_class_accuracy: 0.6954 +2023-12-11 07:06:02,054 - pyskl - INFO - Epoch [34][100/1281] lr: 2.212e-02, eta: 16:47:38, time: 0.630, data_time: 0.199, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9919, loss_cls: 2.1549, loss: 2.1549 +2023-12-11 07:06:45,184 - pyskl - INFO - Epoch [34][200/1281] lr: 2.211e-02, eta: 16:47:08, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9950, loss_cls: 2.1033, loss: 2.1033 +2023-12-11 07:07:28,229 - pyskl - INFO - Epoch [34][300/1281] lr: 2.209e-02, eta: 16:46:37, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9969, loss_cls: 2.0903, loss: 2.0903 +2023-12-11 07:08:11,627 - pyskl - INFO - Epoch [34][400/1281] lr: 2.208e-02, eta: 16:46:07, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9950, loss_cls: 2.1348, loss: 2.1348 +2023-12-11 07:08:54,565 - pyskl - INFO - Epoch [34][500/1281] lr: 2.207e-02, eta: 16:45:36, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9950, loss_cls: 2.0924, loss: 2.0924 +2023-12-11 07:09:36,578 - pyskl - INFO - Epoch [34][600/1281] lr: 2.205e-02, eta: 16:45:01, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9900, loss_cls: 2.1458, loss: 2.1458 +2023-12-11 07:10:20,377 - pyskl - INFO - Epoch [34][700/1281] lr: 2.204e-02, eta: 16:44:32, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.8500, top5_acc: 0.9944, loss_cls: 2.1251, loss: 2.1251 +2023-12-11 07:11:04,633 - pyskl - INFO - Epoch [34][800/1281] lr: 2.203e-02, eta: 16:44:05, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9925, loss_cls: 2.1835, loss: 2.1835 +2023-12-11 07:11:48,462 - pyskl - INFO - Epoch [34][900/1281] lr: 2.201e-02, eta: 16:43:36, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9944, loss_cls: 2.1431, loss: 2.1431 +2023-12-11 07:12:32,592 - pyskl - INFO - Epoch [34][1000/1281] lr: 2.200e-02, eta: 16:43:09, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9931, loss_cls: 2.1806, loss: 2.1806 +2023-12-11 07:13:17,007 - pyskl - INFO - Epoch [34][1100/1281] lr: 2.199e-02, eta: 16:42:42, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9944, loss_cls: 2.2095, loss: 2.2095 +2023-12-11 07:13:42,247 - pyskl - INFO - Epoch [34][1200/1281] lr: 2.197e-02, eta: 16:41:10, time: 0.252, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9931, loss_cls: 2.1403, loss: 2.1403 +2023-12-11 07:14:16,221 - pyskl - INFO - Saving checkpoint at 34 epochs +2023-12-11 07:15:12,934 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 07:15:12,993 - pyskl - INFO - +top1_acc 0.8001 +top5_acc 0.9853 +2023-12-11 07:15:12,993 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 07:15:13,001 - pyskl - INFO - +mean_acc 0.7258 +2023-12-11 07:15:13,004 - pyskl - INFO - Epoch(val) [34][533] top1_acc: 0.8001, top5_acc: 0.9853, mean_class_accuracy: 0.7258 +2023-12-11 07:16:16,047 - pyskl - INFO - Epoch [35][100/1281] lr: 2.195e-02, eta: 16:39:22, time: 0.630, data_time: 0.208, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9956, loss_cls: 2.0140, loss: 2.0140 +2023-12-11 07:16:59,067 - pyskl - INFO - Epoch [35][200/1281] lr: 2.194e-02, eta: 16:38:51, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9938, loss_cls: 2.1264, loss: 2.1264 +2023-12-11 07:17:42,112 - pyskl - INFO - Epoch [35][300/1281] lr: 2.192e-02, eta: 16:38:19, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9981, loss_cls: 2.0437, loss: 2.0437 +2023-12-11 07:18:24,917 - pyskl - INFO - Epoch [35][400/1281] lr: 2.191e-02, eta: 16:37:47, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9969, loss_cls: 2.0758, loss: 2.0758 +2023-12-11 07:19:07,945 - pyskl - INFO - Epoch [35][500/1281] lr: 2.190e-02, eta: 16:37:16, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9938, loss_cls: 2.2015, loss: 2.2015 +2023-12-11 07:19:50,876 - pyskl - INFO - Epoch [35][600/1281] lr: 2.188e-02, eta: 16:36:44, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9931, loss_cls: 2.1822, loss: 2.1822 +2023-12-11 07:20:34,318 - pyskl - INFO - Epoch [35][700/1281] lr: 2.187e-02, eta: 16:36:13, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9962, loss_cls: 2.1351, loss: 2.1351 +2023-12-11 07:21:18,368 - pyskl - INFO - Epoch [35][800/1281] lr: 2.185e-02, eta: 16:35:45, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8400, top5_acc: 0.9919, loss_cls: 2.1483, loss: 2.1483 +2023-12-11 07:22:02,434 - pyskl - INFO - Epoch [35][900/1281] lr: 2.184e-02, eta: 16:35:17, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9944, loss_cls: 2.0735, loss: 2.0735 +2023-12-11 07:22:46,402 - pyskl - INFO - Epoch [35][1000/1281] lr: 2.183e-02, eta: 16:34:48, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9919, loss_cls: 2.1163, loss: 2.1163 +2023-12-11 07:23:29,908 - pyskl - INFO - Epoch [35][1100/1281] lr: 2.181e-02, eta: 16:34:18, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9956, loss_cls: 2.1235, loss: 2.1235 +2023-12-11 07:24:01,926 - pyskl - INFO - Epoch [35][1200/1281] lr: 2.180e-02, eta: 16:33:09, time: 0.320, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9925, loss_cls: 2.0815, loss: 2.0815 +2023-12-11 07:24:29,361 - pyskl - INFO - Saving checkpoint at 35 epochs +2023-12-11 07:25:19,921 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 07:25:19,983 - pyskl - INFO - +top1_acc 0.7886 +top5_acc 0.9852 +2023-12-11 07:25:19,983 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 07:25:19,992 - pyskl - INFO - +mean_acc 0.7045 +2023-12-11 07:25:19,994 - pyskl - INFO - Epoch(val) [35][533] top1_acc: 0.7886, top5_acc: 0.9852, mean_class_accuracy: 0.7045 +2023-12-11 07:26:23,125 - pyskl - INFO - Epoch [36][100/1281] lr: 2.178e-02, eta: 16:31:23, time: 0.631, data_time: 0.200, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9931, loss_cls: 2.1127, loss: 2.1127 +2023-12-11 07:27:06,324 - pyskl - INFO - Epoch [36][200/1281] lr: 2.176e-02, eta: 16:30:52, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9975, loss_cls: 2.0562, loss: 2.0562 +2023-12-11 07:27:49,412 - pyskl - INFO - Epoch [36][300/1281] lr: 2.175e-02, eta: 16:30:20, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9912, loss_cls: 2.2068, loss: 2.2068 +2023-12-11 07:28:32,483 - pyskl - INFO - Epoch [36][400/1281] lr: 2.173e-02, eta: 16:29:49, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9906, loss_cls: 2.0866, loss: 2.0866 +2023-12-11 07:29:15,294 - pyskl - INFO - Epoch [36][500/1281] lr: 2.172e-02, eta: 16:29:16, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9969, loss_cls: 2.1276, loss: 2.1276 +2023-12-11 07:29:58,322 - pyskl - INFO - Epoch [36][600/1281] lr: 2.171e-02, eta: 16:28:44, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9956, loss_cls: 2.1224, loss: 2.1224 +2023-12-11 07:30:41,801 - pyskl - INFO - Epoch [36][700/1281] lr: 2.169e-02, eta: 16:28:13, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9919, loss_cls: 2.1635, loss: 2.1635 +2023-12-11 07:31:25,721 - pyskl - INFO - Epoch [36][800/1281] lr: 2.168e-02, eta: 16:27:44, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9931, loss_cls: 2.1780, loss: 2.1780 +2023-12-11 07:32:10,033 - pyskl - INFO - Epoch [36][900/1281] lr: 2.167e-02, eta: 16:27:16, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9906, loss_cls: 2.1611, loss: 2.1611 +2023-12-11 07:32:53,586 - pyskl - INFO - Epoch [36][1000/1281] lr: 2.165e-02, eta: 16:26:45, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9938, loss_cls: 2.1548, loss: 2.1548 +2023-12-11 07:33:36,123 - pyskl - INFO - Epoch [36][1100/1281] lr: 2.164e-02, eta: 16:26:11, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9950, loss_cls: 2.0729, loss: 2.0729 +2023-12-11 07:34:15,368 - pyskl - INFO - Epoch [36][1200/1281] lr: 2.162e-02, eta: 16:25:27, time: 0.392, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9919, loss_cls: 2.1051, loss: 2.1051 +2023-12-11 07:34:33,462 - pyskl - INFO - Saving checkpoint at 36 epochs +2023-12-11 07:35:30,384 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 07:35:30,462 - pyskl - INFO - +top1_acc 0.7773 +top5_acc 0.9824 +2023-12-11 07:35:30,462 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 07:35:30,473 - pyskl - INFO - +mean_acc 0.7089 +2023-12-11 07:35:30,477 - pyskl - INFO - Epoch(val) [36][533] top1_acc: 0.7773, top5_acc: 0.9824, mean_class_accuracy: 0.7089 +2023-12-11 07:36:32,864 - pyskl - INFO - Epoch [37][100/1281] lr: 2.160e-02, eta: 16:23:39, time: 0.624, data_time: 0.189, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9944, loss_cls: 2.1359, loss: 2.1359 +2023-12-11 07:37:16,154 - pyskl - INFO - Epoch [37][200/1281] lr: 2.158e-02, eta: 16:23:08, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9938, loss_cls: 2.1333, loss: 2.1333 +2023-12-11 07:37:59,471 - pyskl - INFO - Epoch [37][300/1281] lr: 2.157e-02, eta: 16:22:36, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9919, loss_cls: 2.0354, loss: 2.0354 +2023-12-11 07:38:42,885 - pyskl - INFO - Epoch [37][400/1281] lr: 2.156e-02, eta: 16:22:05, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9956, loss_cls: 2.0460, loss: 2.0460 +2023-12-11 07:39:26,707 - pyskl - INFO - Epoch [37][500/1281] lr: 2.154e-02, eta: 16:21:35, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9944, loss_cls: 2.0780, loss: 2.0780 +2023-12-11 07:40:11,586 - pyskl - INFO - Epoch [37][600/1281] lr: 2.153e-02, eta: 16:21:09, time: 0.449, data_time: 0.002, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9912, loss_cls: 2.0982, loss: 2.0982 +2023-12-11 07:40:55,238 - pyskl - INFO - Epoch [37][700/1281] lr: 2.151e-02, eta: 16:20:38, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9938, loss_cls: 2.0939, loss: 2.0939 +2023-12-11 07:41:39,577 - pyskl - INFO - Epoch [37][800/1281] lr: 2.150e-02, eta: 16:20:09, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9906, loss_cls: 2.1662, loss: 2.1662 +2023-12-11 07:42:22,872 - pyskl - INFO - Epoch [37][900/1281] lr: 2.149e-02, eta: 16:19:38, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9950, loss_cls: 2.1071, loss: 2.1071 +2023-12-11 07:43:05,645 - pyskl - INFO - Epoch [37][1000/1281] lr: 2.147e-02, eta: 16:19:04, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9931, loss_cls: 2.1660, loss: 2.1660 +2023-12-11 07:43:48,455 - pyskl - INFO - Epoch [37][1100/1281] lr: 2.146e-02, eta: 16:18:31, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9944, loss_cls: 2.0871, loss: 2.0871 +2023-12-11 07:44:31,529 - pyskl - INFO - Epoch [37][1200/1281] lr: 2.144e-02, eta: 16:17:58, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9900, loss_cls: 2.0725, loss: 2.0725 +2023-12-11 07:44:53,024 - pyskl - INFO - Saving checkpoint at 37 epochs +2023-12-11 07:45:58,918 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 07:45:58,986 - pyskl - INFO - +top1_acc 0.7500 +top5_acc 0.9698 +2023-12-11 07:45:58,986 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 07:45:58,996 - pyskl - INFO - +mean_acc 0.6742 +2023-12-11 07:45:58,998 - pyskl - INFO - Epoch(val) [37][533] top1_acc: 0.7500, top5_acc: 0.9698, mean_class_accuracy: 0.6742 +2023-12-11 07:47:00,729 - pyskl - INFO - Epoch [38][100/1281] lr: 2.142e-02, eta: 16:16:09, time: 0.617, data_time: 0.191, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9950, loss_cls: 2.1213, loss: 2.1213 +2023-12-11 07:47:43,597 - pyskl - INFO - Epoch [38][200/1281] lr: 2.140e-02, eta: 16:15:36, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9969, loss_cls: 2.0610, loss: 2.0610 +2023-12-11 07:48:26,290 - pyskl - INFO - Epoch [38][300/1281] lr: 2.139e-02, eta: 16:15:02, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9956, loss_cls: 2.0901, loss: 2.0901 +2023-12-11 07:49:08,870 - pyskl - INFO - Epoch [38][400/1281] lr: 2.137e-02, eta: 16:14:28, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9950, loss_cls: 2.0243, loss: 2.0243 +2023-12-11 07:49:52,005 - pyskl - INFO - Epoch [38][500/1281] lr: 2.136e-02, eta: 16:13:55, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9944, loss_cls: 2.1161, loss: 2.1161 +2023-12-11 07:50:35,638 - pyskl - INFO - Epoch [38][600/1281] lr: 2.134e-02, eta: 16:13:24, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9900, loss_cls: 2.1131, loss: 2.1131 +2023-12-11 07:51:19,617 - pyskl - INFO - Epoch [38][700/1281] lr: 2.133e-02, eta: 16:12:54, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9950, loss_cls: 2.0688, loss: 2.0688 +2023-12-11 07:52:03,144 - pyskl - INFO - Epoch [38][800/1281] lr: 2.132e-02, eta: 16:12:23, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9894, loss_cls: 2.1029, loss: 2.1029 +2023-12-11 07:52:46,366 - pyskl - INFO - Epoch [38][900/1281] lr: 2.130e-02, eta: 16:11:50, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9906, loss_cls: 2.1218, loss: 2.1218 +2023-12-11 07:53:29,089 - pyskl - INFO - Epoch [38][1000/1281] lr: 2.129e-02, eta: 16:11:16, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9912, loss_cls: 2.1121, loss: 2.1121 +2023-12-11 07:54:11,799 - pyskl - INFO - Epoch [38][1100/1281] lr: 2.127e-02, eta: 16:10:42, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9925, loss_cls: 2.1293, loss: 2.1293 +2023-12-11 07:54:54,535 - pyskl - INFO - Epoch [38][1200/1281] lr: 2.126e-02, eta: 16:10:08, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8381, top5_acc: 0.9919, loss_cls: 2.1549, loss: 2.1549 +2023-12-11 07:55:23,617 - pyskl - INFO - Saving checkpoint at 38 epochs +2023-12-11 07:56:36,038 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 07:56:36,097 - pyskl - INFO - +top1_acc 0.8276 +top5_acc 0.9900 +2023-12-11 07:56:36,097 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 07:56:36,107 - pyskl - INFO - +mean_acc 0.7741 +2023-12-11 07:56:36,113 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_30.pth was removed +2023-12-11 07:56:36,346 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_38.pth. +2023-12-11 07:56:36,346 - pyskl - INFO - Best top1_acc is 0.8276 at 38 epoch. +2023-12-11 07:56:36,350 - pyskl - INFO - Epoch(val) [38][533] top1_acc: 0.8276, top5_acc: 0.9900, mean_class_accuracy: 0.7741 +2023-12-11 07:57:38,464 - pyskl - INFO - Epoch [39][100/1281] lr: 2.123e-02, eta: 16:08:21, time: 0.621, data_time: 0.191, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9962, loss_cls: 2.0478, loss: 2.0478 +2023-12-11 07:58:21,069 - pyskl - INFO - Epoch [39][200/1281] lr: 2.122e-02, eta: 16:07:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9906, loss_cls: 2.1199, loss: 2.1199 +2023-12-11 07:59:03,683 - pyskl - INFO - Epoch [39][300/1281] lr: 2.120e-02, eta: 16:07:12, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9988, loss_cls: 2.0493, loss: 2.0493 +2023-12-11 07:59:46,957 - pyskl - INFO - Epoch [39][400/1281] lr: 2.119e-02, eta: 16:06:40, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9988, loss_cls: 2.0675, loss: 2.0675 +2023-12-11 08:00:30,804 - pyskl - INFO - Epoch [39][500/1281] lr: 2.117e-02, eta: 16:06:09, time: 0.438, data_time: 0.002, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9969, loss_cls: 2.0488, loss: 2.0488 +2023-12-11 08:01:15,089 - pyskl - INFO - Epoch [39][600/1281] lr: 2.116e-02, eta: 16:05:39, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9912, loss_cls: 2.1282, loss: 2.1282 +2023-12-11 08:01:59,673 - pyskl - INFO - Epoch [39][700/1281] lr: 2.114e-02, eta: 16:05:10, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9944, loss_cls: 2.0653, loss: 2.0653 +2023-12-11 08:02:43,420 - pyskl - INFO - Epoch [39][800/1281] lr: 2.113e-02, eta: 16:04:39, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9919, loss_cls: 2.1392, loss: 2.1392 +2023-12-11 08:03:27,016 - pyskl - INFO - Epoch [39][900/1281] lr: 2.111e-02, eta: 16:04:07, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9944, loss_cls: 2.1048, loss: 2.1048 +2023-12-11 08:04:09,849 - pyskl - INFO - Epoch [39][1000/1281] lr: 2.110e-02, eta: 16:03:33, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9894, loss_cls: 2.1755, loss: 2.1755 +2023-12-11 08:04:52,437 - pyskl - INFO - Epoch [39][1100/1281] lr: 2.108e-02, eta: 16:02:58, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9906, loss_cls: 2.0928, loss: 2.0928 +2023-12-11 08:05:35,591 - pyskl - INFO - Epoch [39][1200/1281] lr: 2.107e-02, eta: 16:02:25, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9950, loss_cls: 2.1228, loss: 2.1228 +2023-12-11 08:06:08,882 - pyskl - INFO - Saving checkpoint at 39 epochs +2023-12-11 08:07:25,736 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 08:07:25,813 - pyskl - INFO - +top1_acc 0.8052 +top5_acc 0.9865 +2023-12-11 08:07:25,813 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 08:07:25,824 - pyskl - INFO - +mean_acc 0.7158 +2023-12-11 08:07:25,827 - pyskl - INFO - Epoch(val) [39][533] top1_acc: 0.8052, top5_acc: 0.9865, mean_class_accuracy: 0.7158 +2023-12-11 08:08:27,749 - pyskl - INFO - Epoch [40][100/1281] lr: 2.104e-02, eta: 16:00:39, time: 0.619, data_time: 0.192, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9925, loss_cls: 2.1038, loss: 2.1038 +2023-12-11 08:09:10,940 - pyskl - INFO - Epoch [40][200/1281] lr: 2.103e-02, eta: 16:00:05, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9944, loss_cls: 2.1100, loss: 2.1100 +2023-12-11 08:09:53,817 - pyskl - INFO - Epoch [40][300/1281] lr: 2.101e-02, eta: 15:59:31, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9912, loss_cls: 2.1267, loss: 2.1267 +2023-12-11 08:10:37,255 - pyskl - INFO - Epoch [40][400/1281] lr: 2.100e-02, eta: 15:58:59, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9962, loss_cls: 2.1090, loss: 2.1090 +2023-12-11 08:11:20,721 - pyskl - INFO - Epoch [40][500/1281] lr: 2.098e-02, eta: 15:58:26, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9950, loss_cls: 2.0809, loss: 2.0809 +2023-12-11 08:12:05,156 - pyskl - INFO - Epoch [40][600/1281] lr: 2.097e-02, eta: 15:57:57, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9931, loss_cls: 1.9984, loss: 1.9984 +2023-12-11 08:12:49,668 - pyskl - INFO - Epoch [40][700/1281] lr: 2.095e-02, eta: 15:57:27, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9919, loss_cls: 2.0812, loss: 2.0812 +2023-12-11 08:13:33,157 - pyskl - INFO - Epoch [40][800/1281] lr: 2.094e-02, eta: 15:56:54, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9956, loss_cls: 2.1181, loss: 2.1181 +2023-12-11 08:14:15,972 - pyskl - INFO - Epoch [40][900/1281] lr: 2.092e-02, eta: 15:56:20, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9944, loss_cls: 2.1223, loss: 2.1223 +2023-12-11 08:14:58,280 - pyskl - INFO - Epoch [40][1000/1281] lr: 2.091e-02, eta: 15:55:44, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9988, loss_cls: 2.0594, loss: 2.0594 +2023-12-11 08:15:40,726 - pyskl - INFO - Epoch [40][1100/1281] lr: 2.089e-02, eta: 15:55:08, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9969, loss_cls: 2.1126, loss: 2.1126 +2023-12-11 08:16:23,851 - pyskl - INFO - Epoch [40][1200/1281] lr: 2.088e-02, eta: 15:54:35, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9944, loss_cls: 2.0917, loss: 2.0917 +2023-12-11 08:16:58,887 - pyskl - INFO - Saving checkpoint at 40 epochs +2023-12-11 08:18:15,610 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 08:18:15,675 - pyskl - INFO - +top1_acc 0.7774 +top5_acc 0.9811 +2023-12-11 08:18:15,675 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 08:18:15,689 - pyskl - INFO - +mean_acc 0.7043 +2023-12-11 08:18:15,694 - pyskl - INFO - Epoch(val) [40][533] top1_acc: 0.7774, top5_acc: 0.9811, mean_class_accuracy: 0.7043 +2023-12-11 08:19:15,366 - pyskl - INFO - Epoch [41][100/1281] lr: 2.085e-02, eta: 15:52:43, time: 0.597, data_time: 0.201, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9956, loss_cls: 2.1074, loss: 2.1074 +2023-12-11 08:19:58,273 - pyskl - INFO - Epoch [41][200/1281] lr: 2.083e-02, eta: 15:52:09, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9944, loss_cls: 2.0199, loss: 2.0199 +2023-12-11 08:20:41,788 - pyskl - INFO - Epoch [41][300/1281] lr: 2.082e-02, eta: 15:51:36, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9969, loss_cls: 2.0383, loss: 2.0383 +2023-12-11 08:21:26,044 - pyskl - INFO - Epoch [41][400/1281] lr: 2.080e-02, eta: 15:51:05, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9925, loss_cls: 2.1016, loss: 2.1016 +2023-12-11 08:22:10,021 - pyskl - INFO - Epoch [41][500/1281] lr: 2.079e-02, eta: 15:50:34, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9931, loss_cls: 2.1165, loss: 2.1165 +2023-12-11 08:22:54,270 - pyskl - INFO - Epoch [41][600/1281] lr: 2.077e-02, eta: 15:50:03, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9950, loss_cls: 2.1426, loss: 2.1426 +2023-12-11 08:23:37,429 - pyskl - INFO - Epoch [41][700/1281] lr: 2.076e-02, eta: 15:49:29, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9969, loss_cls: 2.1008, loss: 2.1008 +2023-12-11 08:24:20,152 - pyskl - INFO - Epoch [41][800/1281] lr: 2.074e-02, eta: 15:48:54, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9969, loss_cls: 2.0283, loss: 2.0283 +2023-12-11 08:25:02,869 - pyskl - INFO - Epoch [41][900/1281] lr: 2.073e-02, eta: 15:48:19, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9956, loss_cls: 2.0869, loss: 2.0869 +2023-12-11 08:25:45,781 - pyskl - INFO - Epoch [41][1000/1281] lr: 2.071e-02, eta: 15:47:45, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9938, loss_cls: 2.0741, loss: 2.0741 +2023-12-11 08:26:29,073 - pyskl - INFO - Epoch [41][1100/1281] lr: 2.070e-02, eta: 15:47:11, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9956, loss_cls: 2.0859, loss: 2.0859 +2023-12-11 08:27:12,741 - pyskl - INFO - Epoch [41][1200/1281] lr: 2.068e-02, eta: 15:46:39, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9944, loss_cls: 2.1318, loss: 2.1318 +2023-12-11 08:27:48,206 - pyskl - INFO - Saving checkpoint at 41 epochs +2023-12-11 08:28:58,329 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 08:28:58,390 - pyskl - INFO - +top1_acc 0.8044 +top5_acc 0.9838 +2023-12-11 08:28:58,390 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 08:28:58,399 - pyskl - INFO - +mean_acc 0.7493 +2023-12-11 08:28:58,402 - pyskl - INFO - Epoch(val) [41][533] top1_acc: 0.8044, top5_acc: 0.9838, mean_class_accuracy: 0.7493 +2023-12-11 08:29:55,365 - pyskl - INFO - Epoch [42][100/1281] lr: 2.065e-02, eta: 15:44:41, time: 0.570, data_time: 0.214, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9969, loss_cls: 2.0009, loss: 2.0009 +2023-12-11 08:30:38,681 - pyskl - INFO - Epoch [42][200/1281] lr: 2.064e-02, eta: 15:44:07, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9944, loss_cls: 2.0580, loss: 2.0580 +2023-12-11 08:31:22,681 - pyskl - INFO - Epoch [42][300/1281] lr: 2.062e-02, eta: 15:43:36, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9931, loss_cls: 2.1498, loss: 2.1498 +2023-12-11 08:32:06,876 - pyskl - INFO - Epoch [42][400/1281] lr: 2.061e-02, eta: 15:43:04, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9931, loss_cls: 2.0954, loss: 2.0954 +2023-12-11 08:32:51,437 - pyskl - INFO - Epoch [42][500/1281] lr: 2.059e-02, eta: 15:42:34, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9950, loss_cls: 2.1159, loss: 2.1159 +2023-12-11 08:33:34,991 - pyskl - INFO - Epoch [42][600/1281] lr: 2.057e-02, eta: 15:42:01, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9962, loss_cls: 2.0119, loss: 2.0119 +2023-12-11 08:34:17,984 - pyskl - INFO - Epoch [42][700/1281] lr: 2.056e-02, eta: 15:41:26, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9962, loss_cls: 1.9957, loss: 1.9957 +2023-12-11 08:35:00,906 - pyskl - INFO - Epoch [42][800/1281] lr: 2.054e-02, eta: 15:40:52, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9944, loss_cls: 2.0696, loss: 2.0696 +2023-12-11 08:35:43,820 - pyskl - INFO - Epoch [42][900/1281] lr: 2.053e-02, eta: 15:40:17, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9938, loss_cls: 2.0431, loss: 2.0431 +2023-12-11 08:36:27,172 - pyskl - INFO - Epoch [42][1000/1281] lr: 2.051e-02, eta: 15:39:43, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9956, loss_cls: 2.0857, loss: 2.0857 +2023-12-11 08:37:10,772 - pyskl - INFO - Epoch [42][1100/1281] lr: 2.050e-02, eta: 15:39:10, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9944, loss_cls: 2.0876, loss: 2.0876 +2023-12-11 08:37:54,446 - pyskl - INFO - Epoch [42][1200/1281] lr: 2.048e-02, eta: 15:38:37, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9912, loss_cls: 2.0866, loss: 2.0866 +2023-12-11 08:38:29,597 - pyskl - INFO - Saving checkpoint at 42 epochs +2023-12-11 08:39:37,812 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 08:39:37,874 - pyskl - INFO - +top1_acc 0.8182 +top5_acc 0.9879 +2023-12-11 08:39:37,874 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 08:39:37,884 - pyskl - INFO - +mean_acc 0.7468 +2023-12-11 08:39:37,888 - pyskl - INFO - Epoch(val) [42][533] top1_acc: 0.8182, top5_acc: 0.9879, mean_class_accuracy: 0.7468 +2023-12-11 08:40:33,034 - pyskl - INFO - Epoch [43][100/1281] lr: 2.045e-02, eta: 15:36:36, time: 0.551, data_time: 0.215, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9975, loss_cls: 2.0461, loss: 2.0461 +2023-12-11 08:41:16,196 - pyskl - INFO - Epoch [43][200/1281] lr: 2.044e-02, eta: 15:36:02, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9944, loss_cls: 2.0096, loss: 2.0096 +2023-12-11 08:42:00,307 - pyskl - INFO - Epoch [43][300/1281] lr: 2.042e-02, eta: 15:35:30, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9944, loss_cls: 2.1036, loss: 2.1036 +2023-12-11 08:42:44,066 - pyskl - INFO - Epoch [43][400/1281] lr: 2.040e-02, eta: 15:34:57, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9969, loss_cls: 2.0633, loss: 2.0633 +2023-12-11 08:43:28,237 - pyskl - INFO - Epoch [43][500/1281] lr: 2.039e-02, eta: 15:34:25, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9931, loss_cls: 2.0422, loss: 2.0422 +2023-12-11 08:44:11,287 - pyskl - INFO - Epoch [43][600/1281] lr: 2.037e-02, eta: 15:33:51, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8512, top5_acc: 0.9950, loss_cls: 2.0976, loss: 2.0976 +2023-12-11 08:44:54,068 - pyskl - INFO - Epoch [43][700/1281] lr: 2.036e-02, eta: 15:33:15, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9931, loss_cls: 2.0565, loss: 2.0565 +2023-12-11 08:45:36,969 - pyskl - INFO - Epoch [43][800/1281] lr: 2.034e-02, eta: 15:32:40, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9931, loss_cls: 2.0753, loss: 2.0753 +2023-12-11 08:46:19,815 - pyskl - INFO - Epoch [43][900/1281] lr: 2.033e-02, eta: 15:32:05, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9975, loss_cls: 2.0815, loss: 2.0815 +2023-12-11 08:47:02,933 - pyskl - INFO - Epoch [43][1000/1281] lr: 2.031e-02, eta: 15:31:30, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9944, loss_cls: 2.0461, loss: 2.0461 +2023-12-11 08:47:46,010 - pyskl - INFO - Epoch [43][1100/1281] lr: 2.029e-02, eta: 15:30:56, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9938, loss_cls: 2.0336, loss: 2.0336 +2023-12-11 08:48:29,130 - pyskl - INFO - Epoch [43][1200/1281] lr: 2.028e-02, eta: 15:30:21, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9912, loss_cls: 2.0844, loss: 2.0844 +2023-12-11 08:49:04,496 - pyskl - INFO - Saving checkpoint at 43 epochs +2023-12-11 08:50:13,657 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 08:50:13,733 - pyskl - INFO - +top1_acc 0.7791 +top5_acc 0.9777 +2023-12-11 08:50:13,733 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 08:50:13,748 - pyskl - INFO - +mean_acc 0.7116 +2023-12-11 08:50:13,754 - pyskl - INFO - Epoch(val) [43][533] top1_acc: 0.7791, top5_acc: 0.9777, mean_class_accuracy: 0.7116 +2023-12-11 08:51:08,620 - pyskl - INFO - Epoch [44][100/1281] lr: 2.025e-02, eta: 15:28:21, time: 0.549, data_time: 0.234, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9919, loss_cls: 2.1622, loss: 2.1622 +2023-12-11 08:51:52,655 - pyskl - INFO - Epoch [44][200/1281] lr: 2.023e-02, eta: 15:27:48, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9956, loss_cls: 2.0683, loss: 2.0683 +2023-12-11 08:52:36,664 - pyskl - INFO - Epoch [44][300/1281] lr: 2.022e-02, eta: 15:27:16, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9925, loss_cls: 2.0953, loss: 2.0953 +2023-12-11 08:53:19,211 - pyskl - INFO - Epoch [44][400/1281] lr: 2.020e-02, eta: 15:26:40, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9931, loss_cls: 2.1056, loss: 2.1056 +2023-12-11 08:54:02,103 - pyskl - INFO - Epoch [44][500/1281] lr: 2.018e-02, eta: 15:26:05, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9969, loss_cls: 2.0035, loss: 2.0035 +2023-12-11 08:54:44,681 - pyskl - INFO - Epoch [44][600/1281] lr: 2.017e-02, eta: 15:25:28, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9956, loss_cls: 2.0558, loss: 2.0558 +2023-12-11 08:55:27,559 - pyskl - INFO - Epoch [44][700/1281] lr: 2.015e-02, eta: 15:24:53, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8650, top5_acc: 0.9944, loss_cls: 2.0862, loss: 2.0862 +2023-12-11 08:56:10,172 - pyskl - INFO - Epoch [44][800/1281] lr: 2.014e-02, eta: 15:24:17, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9956, loss_cls: 2.0766, loss: 2.0766 +2023-12-11 08:56:53,277 - pyskl - INFO - Epoch [44][900/1281] lr: 2.012e-02, eta: 15:23:42, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9969, loss_cls: 2.0677, loss: 2.0677 +2023-12-11 08:57:36,865 - pyskl - INFO - Epoch [44][1000/1281] lr: 2.010e-02, eta: 15:23:09, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9950, loss_cls: 2.0293, loss: 2.0293 +2023-12-11 08:58:20,182 - pyskl - INFO - Epoch [44][1100/1281] lr: 2.009e-02, eta: 15:22:34, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9925, loss_cls: 2.0685, loss: 2.0685 +2023-12-11 08:59:04,133 - pyskl - INFO - Epoch [44][1200/1281] lr: 2.007e-02, eta: 15:22:01, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9956, loss_cls: 2.0049, loss: 2.0049 +2023-12-11 08:59:40,367 - pyskl - INFO - Saving checkpoint at 44 epochs +2023-12-11 09:00:47,331 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 09:00:47,409 - pyskl - INFO - +top1_acc 0.8112 +top5_acc 0.9844 +2023-12-11 09:00:47,409 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 09:00:47,417 - pyskl - INFO - +mean_acc 0.7395 +2023-12-11 09:00:47,420 - pyskl - INFO - Epoch(val) [44][533] top1_acc: 0.8112, top5_acc: 0.9844, mean_class_accuracy: 0.7395 +2023-12-11 09:01:43,726 - pyskl - INFO - Epoch [45][100/1281] lr: 2.004e-02, eta: 15:20:06, time: 0.563, data_time: 0.244, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9981, loss_cls: 2.0608, loss: 2.0608 +2023-12-11 09:02:26,555 - pyskl - INFO - Epoch [45][200/1281] lr: 2.003e-02, eta: 15:19:30, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9962, loss_cls: 2.0380, loss: 2.0380 +2023-12-11 09:03:08,981 - pyskl - INFO - Epoch [45][300/1281] lr: 2.001e-02, eta: 15:18:54, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9950, loss_cls: 2.0512, loss: 2.0512 +2023-12-11 09:03:51,958 - pyskl - INFO - Epoch [45][400/1281] lr: 1.999e-02, eta: 15:18:18, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9912, loss_cls: 2.0320, loss: 2.0320 +2023-12-11 09:04:34,822 - pyskl - INFO - Epoch [45][500/1281] lr: 1.998e-02, eta: 15:17:43, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9950, loss_cls: 2.0020, loss: 2.0020 +2023-12-11 09:05:17,682 - pyskl - INFO - Epoch [45][600/1281] lr: 1.996e-02, eta: 15:17:07, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9944, loss_cls: 2.0569, loss: 2.0569 +2023-12-11 09:06:00,844 - pyskl - INFO - Epoch [45][700/1281] lr: 1.994e-02, eta: 15:16:32, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9956, loss_cls: 2.0501, loss: 2.0501 +2023-12-11 09:06:44,314 - pyskl - INFO - Epoch [45][800/1281] lr: 1.993e-02, eta: 15:15:58, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9981, loss_cls: 1.9870, loss: 1.9870 +2023-12-11 09:07:26,936 - pyskl - INFO - Epoch [45][900/1281] lr: 1.991e-02, eta: 15:15:22, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9938, loss_cls: 2.1390, loss: 2.1390 +2023-12-11 09:08:09,823 - pyskl - INFO - Epoch [45][1000/1281] lr: 1.989e-02, eta: 15:14:46, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9956, loss_cls: 2.0983, loss: 2.0983 +2023-12-11 09:08:53,166 - pyskl - INFO - Epoch [45][1100/1281] lr: 1.988e-02, eta: 15:14:12, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9956, loss_cls: 2.1450, loss: 2.1450 +2023-12-11 09:09:37,610 - pyskl - INFO - Epoch [45][1200/1281] lr: 1.986e-02, eta: 15:13:40, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9944, loss_cls: 2.0203, loss: 2.0203 +2023-12-11 09:10:14,005 - pyskl - INFO - Saving checkpoint at 45 epochs +2023-12-11 09:11:21,174 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 09:11:21,242 - pyskl - INFO - +top1_acc 0.8206 +top5_acc 0.9865 +2023-12-11 09:11:21,242 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 09:11:21,251 - pyskl - INFO - +mean_acc 0.7722 +2023-12-11 09:11:21,254 - pyskl - INFO - Epoch(val) [45][533] top1_acc: 0.8206, top5_acc: 0.9865, mean_class_accuracy: 0.7722 +2023-12-11 09:12:12,827 - pyskl - INFO - Epoch [46][100/1281] lr: 1.983e-02, eta: 15:11:34, time: 0.516, data_time: 0.215, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9969, loss_cls: 2.0037, loss: 2.0037 +2023-12-11 09:12:55,465 - pyskl - INFO - Epoch [46][200/1281] lr: 1.981e-02, eta: 15:10:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9944, loss_cls: 2.0605, loss: 2.0605 +2023-12-11 09:13:38,162 - pyskl - INFO - Epoch [46][300/1281] lr: 1.980e-02, eta: 15:10:22, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9962, loss_cls: 2.0022, loss: 2.0022 +2023-12-11 09:14:21,117 - pyskl - INFO - Epoch [46][400/1281] lr: 1.978e-02, eta: 15:09:47, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9938, loss_cls: 1.9978, loss: 1.9978 +2023-12-11 09:15:04,110 - pyskl - INFO - Epoch [46][500/1281] lr: 1.976e-02, eta: 15:09:11, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9969, loss_cls: 2.0039, loss: 2.0039 +2023-12-11 09:15:47,175 - pyskl - INFO - Epoch [46][600/1281] lr: 1.975e-02, eta: 15:08:36, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9969, loss_cls: 2.0198, loss: 2.0198 +2023-12-11 09:16:30,066 - pyskl - INFO - Epoch [46][700/1281] lr: 1.973e-02, eta: 15:08:00, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9944, loss_cls: 2.0530, loss: 2.0530 +2023-12-11 09:17:12,613 - pyskl - INFO - Epoch [46][800/1281] lr: 1.971e-02, eta: 15:07:24, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9938, loss_cls: 2.0874, loss: 2.0874 +2023-12-11 09:17:55,538 - pyskl - INFO - Epoch [46][900/1281] lr: 1.970e-02, eta: 15:06:48, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9944, loss_cls: 2.0103, loss: 2.0103 +2023-12-11 09:18:38,279 - pyskl - INFO - Epoch [46][1000/1281] lr: 1.968e-02, eta: 15:06:12, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9962, loss_cls: 2.0139, loss: 2.0139 +2023-12-11 09:19:21,843 - pyskl - INFO - Epoch [46][1100/1281] lr: 1.966e-02, eta: 15:05:38, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9944, loss_cls: 2.0284, loss: 2.0284 +2023-12-11 09:20:05,228 - pyskl - INFO - Epoch [46][1200/1281] lr: 1.965e-02, eta: 15:05:03, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9962, loss_cls: 2.0350, loss: 2.0350 +2023-12-11 09:20:42,055 - pyskl - INFO - Saving checkpoint at 46 epochs +2023-12-11 09:21:51,295 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 09:21:51,359 - pyskl - INFO - +top1_acc 0.8282 +top5_acc 0.9878 +2023-12-11 09:21:51,360 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 09:21:51,368 - pyskl - INFO - +mean_acc 0.7646 +2023-12-11 09:21:51,372 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_38.pth was removed +2023-12-11 09:21:51,676 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. +2023-12-11 09:21:51,677 - pyskl - INFO - Best top1_acc is 0.8282 at 46 epoch. +2023-12-11 09:21:51,685 - pyskl - INFO - Epoch(val) [46][533] top1_acc: 0.8282, top5_acc: 0.9878, mean_class_accuracy: 0.7646 +2023-12-11 09:22:43,668 - pyskl - INFO - Epoch [47][100/1281] lr: 1.962e-02, eta: 15:03:00, time: 0.520, data_time: 0.209, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9981, loss_cls: 1.9596, loss: 1.9596 +2023-12-11 09:23:26,873 - pyskl - INFO - Epoch [47][200/1281] lr: 1.960e-02, eta: 15:02:25, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9931, loss_cls: 2.0225, loss: 2.0225 +2023-12-11 09:24:09,853 - pyskl - INFO - Epoch [47][300/1281] lr: 1.958e-02, eta: 15:01:49, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9969, loss_cls: 2.0029, loss: 2.0029 +2023-12-11 09:24:52,563 - pyskl - INFO - Epoch [47][400/1281] lr: 1.957e-02, eta: 15:01:13, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9944, loss_cls: 2.0020, loss: 2.0020 +2023-12-11 09:25:35,648 - pyskl - INFO - Epoch [47][500/1281] lr: 1.955e-02, eta: 15:00:38, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9925, loss_cls: 2.0691, loss: 2.0691 +2023-12-11 09:26:18,333 - pyskl - INFO - Epoch [47][600/1281] lr: 1.953e-02, eta: 15:00:01, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9956, loss_cls: 2.0643, loss: 2.0643 +2023-12-11 09:27:01,191 - pyskl - INFO - Epoch [47][700/1281] lr: 1.952e-02, eta: 14:59:25, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9962, loss_cls: 2.0289, loss: 2.0289 +2023-12-11 09:27:44,208 - pyskl - INFO - Epoch [47][800/1281] lr: 1.950e-02, eta: 14:58:50, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9962, loss_cls: 1.9845, loss: 1.9845 +2023-12-11 09:28:26,697 - pyskl - INFO - Epoch [47][900/1281] lr: 1.948e-02, eta: 14:58:13, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9944, loss_cls: 2.0572, loss: 2.0572 +2023-12-11 09:29:10,070 - pyskl - INFO - Epoch [47][1000/1281] lr: 1.947e-02, eta: 14:57:38, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9962, loss_cls: 2.0048, loss: 2.0048 +2023-12-11 09:29:54,313 - pyskl - INFO - Epoch [47][1100/1281] lr: 1.945e-02, eta: 14:57:05, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9962, loss_cls: 2.0912, loss: 2.0912 +2023-12-11 09:30:38,816 - pyskl - INFO - Epoch [47][1200/1281] lr: 1.943e-02, eta: 14:56:33, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9956, loss_cls: 2.0955, loss: 2.0955 +2023-12-11 09:31:15,829 - pyskl - INFO - Saving checkpoint at 47 epochs +2023-12-11 09:32:24,140 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 09:32:24,207 - pyskl - INFO - +top1_acc 0.8449 +top5_acc 0.9889 +2023-12-11 09:32:24,207 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 09:32:24,217 - pyskl - INFO - +mean_acc 0.7875 +2023-12-11 09:32:24,224 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_46.pth was removed +2023-12-11 09:32:24,458 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. +2023-12-11 09:32:24,459 - pyskl - INFO - Best top1_acc is 0.8449 at 47 epoch. +2023-12-11 09:32:24,462 - pyskl - INFO - Epoch(val) [47][533] top1_acc: 0.8449, top5_acc: 0.9889, mean_class_accuracy: 0.7875 +2023-12-11 09:33:12,296 - pyskl - INFO - Epoch [48][100/1281] lr: 1.940e-02, eta: 14:54:22, time: 0.478, data_time: 0.198, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9975, loss_cls: 1.9914, loss: 1.9914 +2023-12-11 09:33:55,502 - pyskl - INFO - Epoch [48][200/1281] lr: 1.938e-02, eta: 14:53:47, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 1.9460, loss: 1.9460 +2023-12-11 09:34:38,442 - pyskl - INFO - Epoch [48][300/1281] lr: 1.937e-02, eta: 14:53:11, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9962, loss_cls: 2.0403, loss: 2.0403 +2023-12-11 09:35:21,041 - pyskl - INFO - Epoch [48][400/1281] lr: 1.935e-02, eta: 14:52:34, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9944, loss_cls: 2.0358, loss: 2.0358 +2023-12-11 09:36:03,654 - pyskl - INFO - Epoch [48][500/1281] lr: 1.933e-02, eta: 14:51:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9950, loss_cls: 2.0255, loss: 2.0255 +2023-12-11 09:36:46,540 - pyskl - INFO - Epoch [48][600/1281] lr: 1.932e-02, eta: 14:51:22, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9950, loss_cls: 2.0707, loss: 2.0707 +2023-12-11 09:37:29,363 - pyskl - INFO - Epoch [48][700/1281] lr: 1.930e-02, eta: 14:50:46, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9962, loss_cls: 2.1030, loss: 2.1030 +2023-12-11 09:38:11,901 - pyskl - INFO - Epoch [48][800/1281] lr: 1.928e-02, eta: 14:50:09, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9969, loss_cls: 1.9661, loss: 1.9661 +2023-12-11 09:38:55,140 - pyskl - INFO - Epoch [48][900/1281] lr: 1.926e-02, eta: 14:49:33, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9950, loss_cls: 2.0234, loss: 2.0234 +2023-12-11 09:39:38,753 - pyskl - INFO - Epoch [48][1000/1281] lr: 1.925e-02, eta: 14:48:59, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9962, loss_cls: 2.0692, loss: 2.0692 +2023-12-11 09:40:22,930 - pyskl - INFO - Epoch [48][1100/1281] lr: 1.923e-02, eta: 14:48:26, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9988, loss_cls: 2.0034, loss: 2.0034 +2023-12-11 09:41:07,458 - pyskl - INFO - Epoch [48][1200/1281] lr: 1.921e-02, eta: 14:47:53, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9969, loss_cls: 2.0142, loss: 2.0142 +2023-12-11 09:41:43,605 - pyskl - INFO - Saving checkpoint at 48 epochs +2023-12-11 09:42:48,593 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 09:42:48,664 - pyskl - INFO - +top1_acc 0.8280 +top5_acc 0.9880 +2023-12-11 09:42:48,665 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 09:42:48,680 - pyskl - INFO - +mean_acc 0.7694 +2023-12-11 09:42:48,683 - pyskl - INFO - Epoch(val) [48][533] top1_acc: 0.8280, top5_acc: 0.9880, mean_class_accuracy: 0.7694 +2023-12-11 09:43:35,012 - pyskl - INFO - Epoch [49][100/1281] lr: 1.918e-02, eta: 14:45:41, time: 0.463, data_time: 0.217, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9981, loss_cls: 1.9564, loss: 1.9564 +2023-12-11 09:44:17,882 - pyskl - INFO - Epoch [49][200/1281] lr: 1.916e-02, eta: 14:45:05, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9988, loss_cls: 1.9646, loss: 1.9646 +2023-12-11 09:45:00,475 - pyskl - INFO - Epoch [49][300/1281] lr: 1.915e-02, eta: 14:44:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9956, loss_cls: 1.9943, loss: 1.9943 +2023-12-11 09:45:43,374 - pyskl - INFO - Epoch [49][400/1281] lr: 1.913e-02, eta: 14:43:52, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9969, loss_cls: 1.9562, loss: 1.9562 +2023-12-11 09:46:26,733 - pyskl - INFO - Epoch [49][500/1281] lr: 1.911e-02, eta: 14:43:17, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9962, loss_cls: 2.0532, loss: 2.0532 +2023-12-11 09:47:09,863 - pyskl - INFO - Epoch [49][600/1281] lr: 1.909e-02, eta: 14:42:41, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9988, loss_cls: 2.0140, loss: 2.0140 +2023-12-11 09:47:52,827 - pyskl - INFO - Epoch [49][700/1281] lr: 1.908e-02, eta: 14:42:05, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9925, loss_cls: 2.1267, loss: 2.1267 +2023-12-11 09:48:35,770 - pyskl - INFO - Epoch [49][800/1281] lr: 1.906e-02, eta: 14:41:29, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9969, loss_cls: 2.0637, loss: 2.0637 +2023-12-11 09:49:18,478 - pyskl - INFO - Epoch [49][900/1281] lr: 1.904e-02, eta: 14:40:52, time: 0.427, data_time: 0.002, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9962, loss_cls: 2.0223, loss: 2.0223 +2023-12-11 09:50:00,999 - pyskl - INFO - Epoch [49][1000/1281] lr: 1.902e-02, eta: 14:40:15, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9956, loss_cls: 1.9785, loss: 1.9785 +2023-12-11 09:50:44,414 - pyskl - INFO - Epoch [49][1100/1281] lr: 1.901e-02, eta: 14:39:40, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9950, loss_cls: 2.0776, loss: 2.0776 +2023-12-11 09:51:27,812 - pyskl - INFO - Epoch [49][1200/1281] lr: 1.899e-02, eta: 14:39:05, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9969, loss_cls: 2.0224, loss: 2.0224 +2023-12-11 09:52:04,216 - pyskl - INFO - Saving checkpoint at 49 epochs +2023-12-11 09:53:07,402 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 09:53:07,474 - pyskl - INFO - +top1_acc 0.8334 +top5_acc 0.9897 +2023-12-11 09:53:07,474 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 09:53:07,486 - pyskl - INFO - +mean_acc 0.7637 +2023-12-11 09:53:07,493 - pyskl - INFO - Epoch(val) [49][533] top1_acc: 0.8334, top5_acc: 0.9897, mean_class_accuracy: 0.7637 +2023-12-11 09:53:59,269 - pyskl - INFO - Epoch [50][100/1281] lr: 1.896e-02, eta: 14:37:06, time: 0.517, data_time: 0.246, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9969, loss_cls: 1.9748, loss: 1.9748 +2023-12-11 09:54:42,218 - pyskl - INFO - Epoch [50][200/1281] lr: 1.894e-02, eta: 14:36:30, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9962, loss_cls: 2.0152, loss: 2.0152 +2023-12-11 09:55:24,913 - pyskl - INFO - Epoch [50][300/1281] lr: 1.892e-02, eta: 14:35:53, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9944, loss_cls: 2.0454, loss: 2.0454 +2023-12-11 09:56:07,697 - pyskl - INFO - Epoch [50][400/1281] lr: 1.891e-02, eta: 14:35:17, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9969, loss_cls: 1.9670, loss: 1.9670 +2023-12-11 09:56:50,726 - pyskl - INFO - Epoch [50][500/1281] lr: 1.889e-02, eta: 14:34:41, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9944, loss_cls: 1.9820, loss: 1.9820 +2023-12-11 09:57:33,372 - pyskl - INFO - Epoch [50][600/1281] lr: 1.887e-02, eta: 14:34:04, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9962, loss_cls: 1.9242, loss: 1.9242 +2023-12-11 09:58:16,509 - pyskl - INFO - Epoch [50][700/1281] lr: 1.885e-02, eta: 14:33:28, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9938, loss_cls: 2.0406, loss: 2.0406 +2023-12-11 09:58:59,523 - pyskl - INFO - Epoch [50][800/1281] lr: 1.884e-02, eta: 14:32:52, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9950, loss_cls: 1.9748, loss: 1.9748 +2023-12-11 09:59:42,221 - pyskl - INFO - Epoch [50][900/1281] lr: 1.882e-02, eta: 14:32:15, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9950, loss_cls: 2.0552, loss: 2.0552 +2023-12-11 10:00:24,933 - pyskl - INFO - Epoch [50][1000/1281] lr: 1.880e-02, eta: 14:31:39, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9962, loss_cls: 1.9920, loss: 1.9920 +2023-12-11 10:01:08,760 - pyskl - INFO - Epoch [50][1100/1281] lr: 1.878e-02, eta: 14:31:04, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9950, loss_cls: 2.0830, loss: 2.0830 +2023-12-11 10:01:52,420 - pyskl - INFO - Epoch [50][1200/1281] lr: 1.876e-02, eta: 14:30:29, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9969, loss_cls: 2.0186, loss: 2.0186 +2023-12-11 10:02:28,758 - pyskl - INFO - Saving checkpoint at 50 epochs +2023-12-11 10:03:29,538 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 10:03:29,607 - pyskl - INFO - +top1_acc 0.7965 +top5_acc 0.9851 +2023-12-11 10:03:29,608 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 10:03:29,620 - pyskl - INFO - +mean_acc 0.7208 +2023-12-11 10:03:29,625 - pyskl - INFO - Epoch(val) [50][533] top1_acc: 0.7965, top5_acc: 0.9851, mean_class_accuracy: 0.7208 +2023-12-11 10:04:21,286 - pyskl - INFO - Epoch [51][100/1281] lr: 1.873e-02, eta: 14:28:31, time: 0.517, data_time: 0.248, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 2.0120, loss: 2.0120 +2023-12-11 10:05:04,677 - pyskl - INFO - Epoch [51][200/1281] lr: 1.871e-02, eta: 14:27:56, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9975, loss_cls: 2.0052, loss: 2.0052 +2023-12-11 10:05:48,336 - pyskl - INFO - Epoch [51][300/1281] lr: 1.870e-02, eta: 14:27:21, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9975, loss_cls: 1.9673, loss: 1.9673 +2023-12-11 10:06:31,284 - pyskl - INFO - Epoch [51][400/1281] lr: 1.868e-02, eta: 14:26:45, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9981, loss_cls: 2.0391, loss: 2.0391 +2023-12-11 10:07:14,401 - pyskl - INFO - Epoch [51][500/1281] lr: 1.866e-02, eta: 14:26:09, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9950, loss_cls: 2.0444, loss: 2.0444 +2023-12-11 10:07:57,465 - pyskl - INFO - Epoch [51][600/1281] lr: 1.864e-02, eta: 14:25:33, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9962, loss_cls: 2.0096, loss: 2.0096 +2023-12-11 10:08:40,189 - pyskl - INFO - Epoch [51][700/1281] lr: 1.863e-02, eta: 14:24:56, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9962, loss_cls: 2.0118, loss: 2.0118 +2023-12-11 10:09:22,863 - pyskl - INFO - Epoch [51][800/1281] lr: 1.861e-02, eta: 14:24:19, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9938, loss_cls: 1.9653, loss: 1.9653 +2023-12-11 10:10:05,485 - pyskl - INFO - Epoch [51][900/1281] lr: 1.859e-02, eta: 14:23:42, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9981, loss_cls: 2.0130, loss: 2.0130 +2023-12-11 10:10:49,293 - pyskl - INFO - Epoch [51][1000/1281] lr: 1.857e-02, eta: 14:23:07, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9956, loss_cls: 2.0081, loss: 2.0081 +2023-12-11 10:11:32,710 - pyskl - INFO - Epoch [51][1100/1281] lr: 1.855e-02, eta: 14:22:31, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9969, loss_cls: 2.0415, loss: 2.0415 +2023-12-11 10:12:16,174 - pyskl - INFO - Epoch [51][1200/1281] lr: 1.854e-02, eta: 14:21:56, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9950, loss_cls: 1.9793, loss: 1.9793 +2023-12-11 10:12:52,509 - pyskl - INFO - Saving checkpoint at 51 epochs +2023-12-11 10:13:53,482 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 10:13:53,573 - pyskl - INFO - +top1_acc 0.8004 +top5_acc 0.9854 +2023-12-11 10:13:53,574 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 10:13:53,593 - pyskl - INFO - +mean_acc 0.7382 +2023-12-11 10:13:53,604 - pyskl - INFO - Epoch(val) [51][533] top1_acc: 0.8004, top5_acc: 0.9854, mean_class_accuracy: 0.7382 +2023-12-11 10:14:40,699 - pyskl - INFO - Epoch [52][100/1281] lr: 1.850e-02, eta: 14:19:51, time: 0.471, data_time: 0.223, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9975, loss_cls: 2.0130, loss: 2.0130 +2023-12-11 10:15:24,272 - pyskl - INFO - Epoch [52][200/1281] lr: 1.849e-02, eta: 14:19:15, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9944, loss_cls: 1.9974, loss: 1.9974 +2023-12-11 10:16:07,298 - pyskl - INFO - Epoch [52][300/1281] lr: 1.847e-02, eta: 14:18:39, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9975, loss_cls: 1.9571, loss: 1.9571 +2023-12-11 10:16:50,056 - pyskl - INFO - Epoch [52][400/1281] lr: 1.845e-02, eta: 14:18:02, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9988, loss_cls: 1.8911, loss: 1.8911 +2023-12-11 10:17:32,830 - pyskl - INFO - Epoch [52][500/1281] lr: 1.843e-02, eta: 14:17:25, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 1.0000, loss_cls: 1.9775, loss: 1.9775 +2023-12-11 10:18:15,735 - pyskl - INFO - Epoch [52][600/1281] lr: 1.841e-02, eta: 14:16:49, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9962, loss_cls: 1.9549, loss: 1.9549 +2023-12-11 10:18:58,532 - pyskl - INFO - Epoch [52][700/1281] lr: 1.840e-02, eta: 14:16:12, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9969, loss_cls: 2.0322, loss: 2.0322 +2023-12-11 10:19:41,309 - pyskl - INFO - Epoch [52][800/1281] lr: 1.838e-02, eta: 14:15:35, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9956, loss_cls: 1.9436, loss: 1.9436 +2023-12-11 10:20:24,691 - pyskl - INFO - Epoch [52][900/1281] lr: 1.836e-02, eta: 14:15:00, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9944, loss_cls: 2.0116, loss: 2.0116 +2023-12-11 10:21:08,277 - pyskl - INFO - Epoch [52][1000/1281] lr: 1.834e-02, eta: 14:14:24, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9956, loss_cls: 2.0158, loss: 2.0158 +2023-12-11 10:21:52,344 - pyskl - INFO - Epoch [52][1100/1281] lr: 1.832e-02, eta: 14:13:50, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9950, loss_cls: 2.0672, loss: 2.0672 +2023-12-11 10:22:35,812 - pyskl - INFO - Epoch [52][1200/1281] lr: 1.831e-02, eta: 14:13:14, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9944, loss_cls: 2.0358, loss: 2.0358 +2023-12-11 10:23:11,723 - pyskl - INFO - Saving checkpoint at 52 epochs +2023-12-11 10:24:13,662 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 10:24:13,726 - pyskl - INFO - +top1_acc 0.8276 +top5_acc 0.9874 +2023-12-11 10:24:13,726 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 10:24:13,735 - pyskl - INFO - +mean_acc 0.7679 +2023-12-11 10:24:13,738 - pyskl - INFO - Epoch(val) [52][533] top1_acc: 0.8276, top5_acc: 0.9874, mean_class_accuracy: 0.7679 +2023-12-11 10:24:56,566 - pyskl - INFO - Epoch [53][100/1281] lr: 1.827e-02, eta: 14:11:02, time: 0.428, data_time: 0.192, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9962, loss_cls: 1.9632, loss: 1.9632 +2023-12-11 10:25:39,398 - pyskl - INFO - Epoch [53][200/1281] lr: 1.826e-02, eta: 14:10:25, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9944, loss_cls: 2.0022, loss: 2.0022 +2023-12-11 10:26:22,561 - pyskl - INFO - Epoch [53][300/1281] lr: 1.824e-02, eta: 14:09:49, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9988, loss_cls: 1.9311, loss: 1.9311 +2023-12-11 10:27:05,698 - pyskl - INFO - Epoch [53][400/1281] lr: 1.822e-02, eta: 14:09:13, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9975, loss_cls: 1.9530, loss: 1.9530 +2023-12-11 10:27:49,038 - pyskl - INFO - Epoch [53][500/1281] lr: 1.820e-02, eta: 14:08:37, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9969, loss_cls: 2.0202, loss: 2.0202 +2023-12-11 10:28:32,121 - pyskl - INFO - Epoch [53][600/1281] lr: 1.818e-02, eta: 14:08:01, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9962, loss_cls: 2.0315, loss: 2.0315 +2023-12-11 10:29:14,845 - pyskl - INFO - Epoch [53][700/1281] lr: 1.816e-02, eta: 14:07:24, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9975, loss_cls: 2.0693, loss: 2.0693 +2023-12-11 10:29:57,373 - pyskl - INFO - Epoch [53][800/1281] lr: 1.815e-02, eta: 14:06:47, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9975, loss_cls: 2.0102, loss: 2.0102 +2023-12-11 10:30:40,249 - pyskl - INFO - Epoch [53][900/1281] lr: 1.813e-02, eta: 14:06:10, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9938, loss_cls: 2.0215, loss: 2.0215 +2023-12-11 10:31:22,805 - pyskl - INFO - Epoch [53][1000/1281] lr: 1.811e-02, eta: 14:05:32, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9931, loss_cls: 1.9921, loss: 1.9921 +2023-12-11 10:32:07,137 - pyskl - INFO - Epoch [53][1100/1281] lr: 1.809e-02, eta: 14:04:58, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9962, loss_cls: 1.9547, loss: 1.9547 +2023-12-11 10:32:51,627 - pyskl - INFO - Epoch [53][1200/1281] lr: 1.807e-02, eta: 14:04:24, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9950, loss_cls: 2.0386, loss: 2.0386 +2023-12-11 10:33:28,423 - pyskl - INFO - Saving checkpoint at 53 epochs +2023-12-11 10:34:28,784 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 10:34:28,863 - pyskl - INFO - +top1_acc 0.8281 +top5_acc 0.9847 +2023-12-11 10:34:28,863 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 10:34:28,882 - pyskl - INFO - +mean_acc 0.7841 +2023-12-11 10:34:28,885 - pyskl - INFO - Epoch(val) [53][533] top1_acc: 0.8281, top5_acc: 0.9847, mean_class_accuracy: 0.7841 +2023-12-11 10:35:18,409 - pyskl - INFO - Epoch [54][100/1281] lr: 1.804e-02, eta: 14:02:26, time: 0.495, data_time: 0.233, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9975, loss_cls: 1.9509, loss: 1.9509 +2023-12-11 10:36:01,312 - pyskl - INFO - Epoch [54][200/1281] lr: 1.802e-02, eta: 14:01:50, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9969, loss_cls: 1.9597, loss: 1.9597 +2023-12-11 10:36:44,151 - pyskl - INFO - Epoch [54][300/1281] lr: 1.800e-02, eta: 14:01:13, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9969, loss_cls: 1.9330, loss: 1.9330 +2023-12-11 10:37:26,907 - pyskl - INFO - Epoch [54][400/1281] lr: 1.798e-02, eta: 14:00:36, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8938, top5_acc: 1.0000, loss_cls: 1.9273, loss: 1.9273 +2023-12-11 10:38:10,101 - pyskl - INFO - Epoch [54][500/1281] lr: 1.797e-02, eta: 14:00:00, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9994, loss_cls: 1.9308, loss: 1.9308 +2023-12-11 10:38:52,945 - pyskl - INFO - Epoch [54][600/1281] lr: 1.795e-02, eta: 13:59:23, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9956, loss_cls: 1.9434, loss: 1.9434 +2023-12-11 10:39:35,676 - pyskl - INFO - Epoch [54][700/1281] lr: 1.793e-02, eta: 13:58:46, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9981, loss_cls: 1.9653, loss: 1.9653 +2023-12-11 10:40:18,003 - pyskl - INFO - Epoch [54][800/1281] lr: 1.791e-02, eta: 13:58:08, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9944, loss_cls: 1.9654, loss: 1.9654 +2023-12-11 10:41:00,887 - pyskl - INFO - Epoch [54][900/1281] lr: 1.789e-02, eta: 13:57:31, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9912, loss_cls: 2.0616, loss: 2.0616 +2023-12-11 10:41:43,960 - pyskl - INFO - Epoch [54][1000/1281] lr: 1.787e-02, eta: 13:56:54, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9969, loss_cls: 1.9913, loss: 1.9913 +2023-12-11 10:42:29,076 - pyskl - INFO - Epoch [54][1100/1281] lr: 1.786e-02, eta: 13:56:21, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9938, loss_cls: 1.9848, loss: 1.9848 +2023-12-11 10:43:13,581 - pyskl - INFO - Epoch [54][1200/1281] lr: 1.784e-02, eta: 13:55:47, time: 0.445, data_time: 0.002, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9962, loss_cls: 2.0398, loss: 2.0398 +2023-12-11 10:43:50,435 - pyskl - INFO - Saving checkpoint at 54 epochs +2023-12-11 10:44:57,641 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 10:44:57,701 - pyskl - INFO - +top1_acc 0.8222 +top5_acc 0.9881 +2023-12-11 10:44:57,701 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 10:44:57,713 - pyskl - INFO - +mean_acc 0.7763 +2023-12-11 10:44:57,722 - pyskl - INFO - Epoch(val) [54][533] top1_acc: 0.8222, top5_acc: 0.9881, mean_class_accuracy: 0.7763 +2023-12-11 10:45:47,985 - pyskl - INFO - Epoch [55][100/1281] lr: 1.780e-02, eta: 13:53:52, time: 0.503, data_time: 0.227, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9944, loss_cls: 1.9677, loss: 1.9677 +2023-12-11 10:46:31,518 - pyskl - INFO - Epoch [55][200/1281] lr: 1.779e-02, eta: 13:53:16, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9988, loss_cls: 1.8973, loss: 1.8973 +2023-12-11 10:47:14,322 - pyskl - INFO - Epoch [55][300/1281] lr: 1.777e-02, eta: 13:52:39, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9962, loss_cls: 1.9966, loss: 1.9966 +2023-12-11 10:47:57,451 - pyskl - INFO - Epoch [55][400/1281] lr: 1.775e-02, eta: 13:52:02, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9944, loss_cls: 1.9407, loss: 1.9407 +2023-12-11 10:48:40,478 - pyskl - INFO - Epoch [55][500/1281] lr: 1.773e-02, eta: 13:51:26, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9956, loss_cls: 2.0009, loss: 2.0009 +2023-12-11 10:49:23,809 - pyskl - INFO - Epoch [55][600/1281] lr: 1.771e-02, eta: 13:50:50, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9962, loss_cls: 2.0179, loss: 2.0179 +2023-12-11 10:50:06,388 - pyskl - INFO - Epoch [55][700/1281] lr: 1.769e-02, eta: 13:50:12, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9956, loss_cls: 1.9741, loss: 1.9741 +2023-12-11 10:50:49,075 - pyskl - INFO - Epoch [55][800/1281] lr: 1.767e-02, eta: 13:49:35, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9944, loss_cls: 1.9489, loss: 1.9489 +2023-12-11 10:51:31,783 - pyskl - INFO - Epoch [55][900/1281] lr: 1.766e-02, eta: 13:48:57, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9931, loss_cls: 1.9855, loss: 1.9855 +2023-12-11 10:52:15,416 - pyskl - INFO - Epoch [55][1000/1281] lr: 1.764e-02, eta: 13:48:22, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9981, loss_cls: 1.9900, loss: 1.9900 +2023-12-11 10:52:59,272 - pyskl - INFO - Epoch [55][1100/1281] lr: 1.762e-02, eta: 13:47:46, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9956, loss_cls: 2.0021, loss: 2.0021 +2023-12-11 10:53:42,928 - pyskl - INFO - Epoch [55][1200/1281] lr: 1.760e-02, eta: 13:47:11, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9950, loss_cls: 2.0148, loss: 2.0148 +2023-12-11 10:54:18,843 - pyskl - INFO - Saving checkpoint at 55 epochs +2023-12-11 10:55:21,130 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 10:55:21,195 - pyskl - INFO - +top1_acc 0.8532 +top5_acc 0.9910 +2023-12-11 10:55:21,195 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 10:55:21,205 - pyskl - INFO - +mean_acc 0.7937 +2023-12-11 10:55:21,218 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_47.pth was removed +2023-12-11 10:55:21,486 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_55.pth. +2023-12-11 10:55:21,487 - pyskl - INFO - Best top1_acc is 0.8532 at 55 epoch. +2023-12-11 10:55:21,490 - pyskl - INFO - Epoch(val) [55][533] top1_acc: 0.8532, top5_acc: 0.9910, mean_class_accuracy: 0.7937 +2023-12-11 10:56:12,351 - pyskl - INFO - Epoch [56][100/1281] lr: 1.757e-02, eta: 13:45:17, time: 0.509, data_time: 0.246, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9975, loss_cls: 1.9577, loss: 1.9577 +2023-12-11 10:56:55,585 - pyskl - INFO - Epoch [56][200/1281] lr: 1.755e-02, eta: 13:44:41, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9950, loss_cls: 1.9995, loss: 1.9995 +2023-12-11 10:57:38,778 - pyskl - INFO - Epoch [56][300/1281] lr: 1.753e-02, eta: 13:44:04, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 1.8512, loss: 1.8512 +2023-12-11 10:58:21,886 - pyskl - INFO - Epoch [56][400/1281] lr: 1.751e-02, eta: 13:43:28, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9975, loss_cls: 2.0018, loss: 2.0018 +2023-12-11 10:59:04,978 - pyskl - INFO - Epoch [56][500/1281] lr: 1.749e-02, eta: 13:42:51, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9956, loss_cls: 1.9776, loss: 1.9776 +2023-12-11 10:59:47,875 - pyskl - INFO - Epoch [56][600/1281] lr: 1.747e-02, eta: 13:42:14, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9981, loss_cls: 1.9698, loss: 1.9698 +2023-12-11 11:00:30,862 - pyskl - INFO - Epoch [56][700/1281] lr: 1.745e-02, eta: 13:41:37, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9962, loss_cls: 2.0337, loss: 2.0337 +2023-12-11 11:01:13,725 - pyskl - INFO - Epoch [56][800/1281] lr: 1.743e-02, eta: 13:41:00, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9962, loss_cls: 1.9850, loss: 1.9850 +2023-12-11 11:01:56,588 - pyskl - INFO - Epoch [56][900/1281] lr: 1.742e-02, eta: 13:40:23, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9944, loss_cls: 1.9388, loss: 1.9388 +2023-12-11 11:02:39,419 - pyskl - INFO - Epoch [56][1000/1281] lr: 1.740e-02, eta: 13:39:46, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9969, loss_cls: 1.9706, loss: 1.9706 +2023-12-11 11:03:22,833 - pyskl - INFO - Epoch [56][1100/1281] lr: 1.738e-02, eta: 13:39:09, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9969, loss_cls: 1.9763, loss: 1.9763 +2023-12-11 11:04:06,450 - pyskl - INFO - Epoch [56][1200/1281] lr: 1.736e-02, eta: 13:38:33, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9975, loss_cls: 2.0105, loss: 2.0105 +2023-12-11 11:04:42,977 - pyskl - INFO - Saving checkpoint at 56 epochs +2023-12-11 11:05:44,713 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 11:05:44,781 - pyskl - INFO - +top1_acc 0.8020 +top5_acc 0.9840 +2023-12-11 11:05:44,781 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 11:05:44,789 - pyskl - INFO - +mean_acc 0.7569 +2023-12-11 11:05:44,792 - pyskl - INFO - Epoch(val) [56][533] top1_acc: 0.8020, top5_acc: 0.9840, mean_class_accuracy: 0.7569 +2023-12-11 11:06:30,820 - pyskl - INFO - Epoch [57][100/1281] lr: 1.733e-02, eta: 13:36:33, time: 0.460, data_time: 0.217, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9969, loss_cls: 1.9685, loss: 1.9685 +2023-12-11 11:07:13,604 - pyskl - INFO - Epoch [57][200/1281] lr: 1.731e-02, eta: 13:35:56, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9962, loss_cls: 1.9692, loss: 1.9692 +2023-12-11 11:07:56,430 - pyskl - INFO - Epoch [57][300/1281] lr: 1.729e-02, eta: 13:35:19, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9969, loss_cls: 1.9421, loss: 1.9421 +2023-12-11 11:08:39,291 - pyskl - INFO - Epoch [57][400/1281] lr: 1.727e-02, eta: 13:34:41, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9969, loss_cls: 1.9777, loss: 1.9777 +2023-12-11 11:09:22,372 - pyskl - INFO - Epoch [57][500/1281] lr: 1.725e-02, eta: 13:34:05, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9950, loss_cls: 1.9736, loss: 1.9736 +2023-12-11 11:10:05,200 - pyskl - INFO - Epoch [57][600/1281] lr: 1.723e-02, eta: 13:33:27, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9950, loss_cls: 1.9376, loss: 1.9376 +2023-12-11 11:10:47,985 - pyskl - INFO - Epoch [57][700/1281] lr: 1.721e-02, eta: 13:32:50, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9944, loss_cls: 1.9903, loss: 1.9903 +2023-12-11 11:11:30,844 - pyskl - INFO - Epoch [57][800/1281] lr: 1.719e-02, eta: 13:32:13, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9950, loss_cls: 1.9342, loss: 1.9342 +2023-12-11 11:12:13,699 - pyskl - INFO - Epoch [57][900/1281] lr: 1.717e-02, eta: 13:31:35, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9969, loss_cls: 1.9675, loss: 1.9675 +2023-12-11 11:12:57,050 - pyskl - INFO - Epoch [57][1000/1281] lr: 1.716e-02, eta: 13:30:59, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9981, loss_cls: 1.9801, loss: 1.9801 +2023-12-11 11:13:40,714 - pyskl - INFO - Epoch [57][1100/1281] lr: 1.714e-02, eta: 13:30:23, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9962, loss_cls: 1.9680, loss: 1.9680 +2023-12-11 11:14:24,055 - pyskl - INFO - Epoch [57][1200/1281] lr: 1.712e-02, eta: 13:29:47, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9975, loss_cls: 1.9653, loss: 1.9653 +2023-12-11 11:15:00,530 - pyskl - INFO - Saving checkpoint at 57 epochs +2023-12-11 11:15:59,513 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 11:15:59,568 - pyskl - INFO - +top1_acc 0.7832 +top5_acc 0.9808 +2023-12-11 11:15:59,568 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 11:15:59,575 - pyskl - INFO - +mean_acc 0.7398 +2023-12-11 11:15:59,576 - pyskl - INFO - Epoch(val) [57][533] top1_acc: 0.7832, top5_acc: 0.9808, mean_class_accuracy: 0.7398 +2023-12-11 11:16:40,263 - pyskl - INFO - Epoch [58][100/1281] lr: 1.708e-02, eta: 13:27:39, time: 0.407, data_time: 0.185, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9962, loss_cls: 1.9810, loss: 1.9810 +2023-12-11 11:17:23,359 - pyskl - INFO - Epoch [58][200/1281] lr: 1.706e-02, eta: 13:27:02, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9938, loss_cls: 1.9923, loss: 1.9923 +2023-12-11 11:18:05,844 - pyskl - INFO - Epoch [58][300/1281] lr: 1.704e-02, eta: 13:26:24, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9975, loss_cls: 1.9255, loss: 1.9255 +2023-12-11 11:18:48,587 - pyskl - INFO - Epoch [58][400/1281] lr: 1.703e-02, eta: 13:25:47, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9962, loss_cls: 1.9972, loss: 1.9972 +2023-12-11 11:19:31,395 - pyskl - INFO - Epoch [58][500/1281] lr: 1.701e-02, eta: 13:25:09, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9962, loss_cls: 1.9397, loss: 1.9397 +2023-12-11 11:20:14,611 - pyskl - INFO - Epoch [58][600/1281] lr: 1.699e-02, eta: 13:24:33, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9988, loss_cls: 1.9448, loss: 1.9448 +2023-12-11 11:20:57,203 - pyskl - INFO - Epoch [58][700/1281] lr: 1.697e-02, eta: 13:23:55, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 1.9381, loss: 1.9381 +2023-12-11 11:21:39,775 - pyskl - INFO - Epoch [58][800/1281] lr: 1.695e-02, eta: 13:23:17, time: 0.426, data_time: 0.002, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9981, loss_cls: 1.9904, loss: 1.9904 +2023-12-11 11:22:22,575 - pyskl - INFO - Epoch [58][900/1281] lr: 1.693e-02, eta: 13:22:40, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9962, loss_cls: 1.9526, loss: 1.9526 +2023-12-11 11:23:06,258 - pyskl - INFO - Epoch [58][1000/1281] lr: 1.691e-02, eta: 13:22:04, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9988, loss_cls: 1.9470, loss: 1.9470 +2023-12-11 11:23:49,736 - pyskl - INFO - Epoch [58][1100/1281] lr: 1.689e-02, eta: 13:21:27, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9956, loss_cls: 2.0368, loss: 2.0368 +2023-12-11 11:24:33,223 - pyskl - INFO - Epoch [58][1200/1281] lr: 1.687e-02, eta: 13:20:51, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9950, loss_cls: 1.9915, loss: 1.9915 +2023-12-11 11:25:09,410 - pyskl - INFO - Saving checkpoint at 58 epochs +2023-12-11 11:26:09,169 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 11:26:09,233 - pyskl - INFO - +top1_acc 0.8494 +top5_acc 0.9908 +2023-12-11 11:26:09,234 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 11:26:09,243 - pyskl - INFO - +mean_acc 0.8122 +2023-12-11 11:26:09,245 - pyskl - INFO - Epoch(val) [58][533] top1_acc: 0.8494, top5_acc: 0.9908, mean_class_accuracy: 0.8122 +2023-12-11 11:26:50,573 - pyskl - INFO - Epoch [59][100/1281] lr: 1.684e-02, eta: 13:18:46, time: 0.413, data_time: 0.185, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9981, loss_cls: 1.9214, loss: 1.9214 +2023-12-11 11:27:33,034 - pyskl - INFO - Epoch [59][200/1281] lr: 1.682e-02, eta: 13:18:08, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9969, loss_cls: 1.9454, loss: 1.9454 +2023-12-11 11:28:16,142 - pyskl - INFO - Epoch [59][300/1281] lr: 1.680e-02, eta: 13:17:31, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9962, loss_cls: 1.9021, loss: 1.9021 +2023-12-11 11:28:58,562 - pyskl - INFO - Epoch [59][400/1281] lr: 1.678e-02, eta: 13:16:53, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9956, loss_cls: 1.9960, loss: 1.9960 +2023-12-11 11:29:41,442 - pyskl - INFO - Epoch [59][500/1281] lr: 1.676e-02, eta: 13:16:16, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9962, loss_cls: 1.9774, loss: 1.9774 +2023-12-11 11:30:24,394 - pyskl - INFO - Epoch [59][600/1281] lr: 1.674e-02, eta: 13:15:39, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9975, loss_cls: 1.9731, loss: 1.9731 +2023-12-11 11:31:07,727 - pyskl - INFO - Epoch [59][700/1281] lr: 1.672e-02, eta: 13:15:02, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9969, loss_cls: 1.8835, loss: 1.8835 +2023-12-11 11:31:50,372 - pyskl - INFO - Epoch [59][800/1281] lr: 1.670e-02, eta: 13:14:24, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9981, loss_cls: 1.9286, loss: 1.9286 +2023-12-11 11:32:33,239 - pyskl - INFO - Epoch [59][900/1281] lr: 1.668e-02, eta: 13:13:47, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9956, loss_cls: 1.9982, loss: 1.9982 +2023-12-11 11:33:16,489 - pyskl - INFO - Epoch [59][1000/1281] lr: 1.667e-02, eta: 13:13:10, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9981, loss_cls: 1.9105, loss: 1.9105 +2023-12-11 11:33:59,992 - pyskl - INFO - Epoch [59][1100/1281] lr: 1.665e-02, eta: 13:12:34, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9969, loss_cls: 1.9511, loss: 1.9511 +2023-12-11 11:34:43,295 - pyskl - INFO - Epoch [59][1200/1281] lr: 1.663e-02, eta: 13:11:57, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9969, loss_cls: 2.0305, loss: 2.0305 +2023-12-11 11:35:19,866 - pyskl - INFO - Saving checkpoint at 59 epochs +2023-12-11 11:36:18,257 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 11:36:18,327 - pyskl - INFO - +top1_acc 0.8450 +top5_acc 0.9910 +2023-12-11 11:36:18,328 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 11:36:18,337 - pyskl - INFO - +mean_acc 0.7948 +2023-12-11 11:36:18,341 - pyskl - INFO - Epoch(val) [59][533] top1_acc: 0.8450, top5_acc: 0.9910, mean_class_accuracy: 0.7948 +2023-12-11 11:37:01,702 - pyskl - INFO - Epoch [60][100/1281] lr: 1.659e-02, eta: 13:09:56, time: 0.434, data_time: 0.197, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9981, loss_cls: 1.9105, loss: 1.9105 +2023-12-11 11:37:41,896 - pyskl - INFO - Epoch [60][200/1281] lr: 1.657e-02, eta: 13:09:15, time: 0.402, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 1.8872, loss: 1.8872 +2023-12-11 11:38:24,677 - pyskl - INFO - Epoch [60][300/1281] lr: 1.655e-02, eta: 13:08:37, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9981, loss_cls: 1.9157, loss: 1.9157 +2023-12-11 11:39:07,396 - pyskl - INFO - Epoch [60][400/1281] lr: 1.653e-02, eta: 13:08:00, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9962, loss_cls: 1.9495, loss: 1.9495 +2023-12-11 11:39:50,560 - pyskl - INFO - Epoch [60][500/1281] lr: 1.651e-02, eta: 13:07:23, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9969, loss_cls: 1.9080, loss: 1.9080 +2023-12-11 11:40:33,741 - pyskl - INFO - Epoch [60][600/1281] lr: 1.650e-02, eta: 13:06:46, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9988, loss_cls: 1.9046, loss: 1.9046 +2023-12-11 11:41:16,690 - pyskl - INFO - Epoch [60][700/1281] lr: 1.648e-02, eta: 13:06:09, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9988, loss_cls: 1.9232, loss: 1.9232 +2023-12-11 11:41:59,859 - pyskl - INFO - Epoch [60][800/1281] lr: 1.646e-02, eta: 13:05:32, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9956, loss_cls: 2.0938, loss: 2.0938 +2023-12-11 11:42:42,843 - pyskl - INFO - Epoch [60][900/1281] lr: 1.644e-02, eta: 13:04:54, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9988, loss_cls: 1.9741, loss: 1.9741 +2023-12-11 11:43:27,001 - pyskl - INFO - Epoch [60][1000/1281] lr: 1.642e-02, eta: 13:04:19, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9956, loss_cls: 1.9706, loss: 1.9706 +2023-12-11 11:44:10,825 - pyskl - INFO - Epoch [60][1100/1281] lr: 1.640e-02, eta: 13:03:43, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9975, loss_cls: 1.9494, loss: 1.9494 +2023-12-11 11:44:54,986 - pyskl - INFO - Epoch [60][1200/1281] lr: 1.638e-02, eta: 13:03:07, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9975, loss_cls: 1.9441, loss: 1.9441 +2023-12-11 11:45:31,236 - pyskl - INFO - Saving checkpoint at 60 epochs +2023-12-11 11:46:25,343 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 11:46:25,398 - pyskl - INFO - +top1_acc 0.8288 +top5_acc 0.9860 +2023-12-11 11:46:25,399 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 11:46:25,406 - pyskl - INFO - +mean_acc 0.7788 +2023-12-11 11:46:25,408 - pyskl - INFO - Epoch(val) [60][533] top1_acc: 0.8288, top5_acc: 0.9860, mean_class_accuracy: 0.7788 +2023-12-11 11:47:16,866 - pyskl - INFO - Epoch [61][100/1281] lr: 1.634e-02, eta: 13:01:20, time: 0.515, data_time: 0.202, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9969, loss_cls: 1.9215, loss: 1.9215 +2023-12-11 11:47:49,387 - pyskl - INFO - Epoch [61][200/1281] lr: 1.632e-02, eta: 13:00:27, time: 0.325, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9969, loss_cls: 1.9577, loss: 1.9577 +2023-12-11 11:48:32,079 - pyskl - INFO - Epoch [61][300/1281] lr: 1.630e-02, eta: 12:59:50, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9981, loss_cls: 1.9280, loss: 1.9280 +2023-12-11 11:49:15,523 - pyskl - INFO - Epoch [61][400/1281] lr: 1.629e-02, eta: 12:59:13, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9975, loss_cls: 1.9210, loss: 1.9210 +2023-12-11 11:49:58,697 - pyskl - INFO - Epoch [61][500/1281] lr: 1.627e-02, eta: 12:58:36, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9956, loss_cls: 1.9464, loss: 1.9464 +2023-12-11 11:50:41,583 - pyskl - INFO - Epoch [61][600/1281] lr: 1.625e-02, eta: 12:57:58, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 1.0000, loss_cls: 1.9087, loss: 1.9087 +2023-12-11 11:51:24,356 - pyskl - INFO - Epoch [61][700/1281] lr: 1.623e-02, eta: 12:57:21, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9956, loss_cls: 1.9601, loss: 1.9601 +2023-12-11 11:52:07,783 - pyskl - INFO - Epoch [61][800/1281] lr: 1.621e-02, eta: 12:56:44, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9969, loss_cls: 1.8784, loss: 1.8784 +2023-12-11 11:52:51,412 - pyskl - INFO - Epoch [61][900/1281] lr: 1.619e-02, eta: 12:56:08, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9981, loss_cls: 1.9797, loss: 1.9797 +2023-12-11 11:53:35,081 - pyskl - INFO - Epoch [61][1000/1281] lr: 1.617e-02, eta: 12:55:31, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9962, loss_cls: 1.9487, loss: 1.9487 +2023-12-11 11:54:19,301 - pyskl - INFO - Epoch [61][1100/1281] lr: 1.615e-02, eta: 12:54:56, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9975, loss_cls: 1.9536, loss: 1.9536 +2023-12-11 11:55:02,455 - pyskl - INFO - Epoch [61][1200/1281] lr: 1.613e-02, eta: 12:54:19, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 1.9796, loss: 1.9796 +2023-12-11 11:55:38,126 - pyskl - INFO - Saving checkpoint at 61 epochs +2023-12-11 11:56:40,594 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 11:56:40,651 - pyskl - INFO - +top1_acc 0.8433 +top5_acc 0.9885 +2023-12-11 11:56:40,652 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 11:56:40,660 - pyskl - INFO - +mean_acc 0.8055 +2023-12-11 11:56:40,663 - pyskl - INFO - Epoch(val) [61][533] top1_acc: 0.8433, top5_acc: 0.9885, mean_class_accuracy: 0.8055 +2023-12-11 11:57:40,760 - pyskl - INFO - Epoch [62][100/1281] lr: 1.609e-02, eta: 12:52:45, time: 0.601, data_time: 0.199, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9988, loss_cls: 1.9049, loss: 1.9049 +2023-12-11 11:58:05,731 - pyskl - INFO - Epoch [62][200/1281] lr: 1.607e-02, eta: 12:51:42, time: 0.250, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9981, loss_cls: 1.9049, loss: 1.9049 +2023-12-11 11:58:49,138 - pyskl - INFO - Epoch [62][300/1281] lr: 1.605e-02, eta: 12:51:05, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9969, loss_cls: 1.9438, loss: 1.9438 +2023-12-11 11:59:31,819 - pyskl - INFO - Epoch [62][400/1281] lr: 1.603e-02, eta: 12:50:27, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9975, loss_cls: 1.9656, loss: 1.9656 +2023-12-11 12:00:14,650 - pyskl - INFO - Epoch [62][500/1281] lr: 1.602e-02, eta: 12:49:49, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9956, loss_cls: 1.9491, loss: 1.9491 +2023-12-11 12:00:57,155 - pyskl - INFO - Epoch [62][600/1281] lr: 1.600e-02, eta: 12:49:11, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9981, loss_cls: 1.9308, loss: 1.9308 +2023-12-11 12:01:39,675 - pyskl - INFO - Epoch [62][700/1281] lr: 1.598e-02, eta: 12:48:33, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9962, loss_cls: 1.9119, loss: 1.9119 +2023-12-11 12:02:23,157 - pyskl - INFO - Epoch [62][800/1281] lr: 1.596e-02, eta: 12:47:57, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9988, loss_cls: 1.9148, loss: 1.9148 +2023-12-11 12:03:07,421 - pyskl - INFO - Epoch [62][900/1281] lr: 1.594e-02, eta: 12:47:21, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9969, loss_cls: 1.9351, loss: 1.9351 +2023-12-11 12:03:50,742 - pyskl - INFO - Epoch [62][1000/1281] lr: 1.592e-02, eta: 12:46:44, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9969, loss_cls: 1.9312, loss: 1.9312 +2023-12-11 12:04:34,751 - pyskl - INFO - Epoch [62][1100/1281] lr: 1.590e-02, eta: 12:46:08, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9969, loss_cls: 1.9191, loss: 1.9191 +2023-12-11 12:05:17,632 - pyskl - INFO - Epoch [62][1200/1281] lr: 1.588e-02, eta: 12:45:30, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9950, loss_cls: 2.0370, loss: 2.0370 +2023-12-11 12:05:52,532 - pyskl - INFO - Saving checkpoint at 62 epochs +2023-12-11 12:07:05,429 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 12:07:05,485 - pyskl - INFO - +top1_acc 0.8528 +top5_acc 0.9860 +2023-12-11 12:07:05,485 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 12:07:05,493 - pyskl - INFO - +mean_acc 0.8138 +2023-12-11 12:07:05,496 - pyskl - INFO - Epoch(val) [62][533] top1_acc: 0.8528, top5_acc: 0.9860, mean_class_accuracy: 0.8138 +2023-12-11 12:08:09,905 - pyskl - INFO - Epoch [63][100/1281] lr: 1.584e-02, eta: 12:44:03, time: 0.644, data_time: 0.199, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9981, loss_cls: 1.9382, loss: 1.9382 +2023-12-11 12:08:34,572 - pyskl - INFO - Epoch [63][200/1281] lr: 1.582e-02, eta: 12:43:00, time: 0.247, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9988, loss_cls: 1.8577, loss: 1.8577 +2023-12-11 12:09:14,217 - pyskl - INFO - Epoch [63][300/1281] lr: 1.580e-02, eta: 12:42:18, time: 0.396, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9962, loss_cls: 1.8981, loss: 1.8981 +2023-12-11 12:09:56,536 - pyskl - INFO - Epoch [63][400/1281] lr: 1.578e-02, eta: 12:41:40, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9969, loss_cls: 1.9359, loss: 1.9359 +2023-12-11 12:10:39,077 - pyskl - INFO - Epoch [63][500/1281] lr: 1.576e-02, eta: 12:41:01, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9994, loss_cls: 1.9178, loss: 1.9178 +2023-12-11 12:11:23,048 - pyskl - INFO - Epoch [63][600/1281] lr: 1.574e-02, eta: 12:40:25, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9975, loss_cls: 1.9289, loss: 1.9289 +2023-12-11 12:12:07,282 - pyskl - INFO - Epoch [63][700/1281] lr: 1.572e-02, eta: 12:39:50, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9981, loss_cls: 1.8983, loss: 1.8983 +2023-12-11 12:12:50,960 - pyskl - INFO - Epoch [63][800/1281] lr: 1.570e-02, eta: 12:39:13, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9975, loss_cls: 1.8802, loss: 1.8802 +2023-12-11 12:13:34,317 - pyskl - INFO - Epoch [63][900/1281] lr: 1.568e-02, eta: 12:38:36, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9969, loss_cls: 1.8735, loss: 1.8735 +2023-12-11 12:14:17,355 - pyskl - INFO - Epoch [63][1000/1281] lr: 1.566e-02, eta: 12:37:59, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9981, loss_cls: 1.9108, loss: 1.9108 +2023-12-11 12:15:00,611 - pyskl - INFO - Epoch [63][1100/1281] lr: 1.564e-02, eta: 12:37:21, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9950, loss_cls: 2.0009, loss: 2.0009 +2023-12-11 12:15:43,726 - pyskl - INFO - Epoch [63][1200/1281] lr: 1.562e-02, eta: 12:36:44, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9944, loss_cls: 1.9368, loss: 1.9368 +2023-12-11 12:16:19,037 - pyskl - INFO - Saving checkpoint at 63 epochs +2023-12-11 12:17:33,920 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 12:17:33,982 - pyskl - INFO - +top1_acc 0.8372 +top5_acc 0.9906 +2023-12-11 12:17:33,982 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 12:17:33,990 - pyskl - INFO - +mean_acc 0.8154 +2023-12-11 12:17:33,993 - pyskl - INFO - Epoch(val) [63][533] top1_acc: 0.8372, top5_acc: 0.9906, mean_class_accuracy: 0.8154 +2023-12-11 12:18:37,562 - pyskl - INFO - Epoch [64][100/1281] lr: 1.559e-02, eta: 12:35:16, time: 0.636, data_time: 0.207, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9994, loss_cls: 1.8949, loss: 1.8949 +2023-12-11 12:19:07,360 - pyskl - INFO - Epoch [64][200/1281] lr: 1.557e-02, eta: 12:34:21, time: 0.298, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 1.8922, loss: 1.8922 +2023-12-11 12:19:40,849 - pyskl - INFO - Epoch [64][300/1281] lr: 1.555e-02, eta: 12:33:30, time: 0.335, data_time: 0.000, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9938, loss_cls: 1.9393, loss: 1.9393 +2023-12-11 12:20:23,626 - pyskl - INFO - Epoch [64][400/1281] lr: 1.553e-02, eta: 12:32:52, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9962, loss_cls: 1.8855, loss: 1.8855 +2023-12-11 12:21:06,986 - pyskl - INFO - Epoch [64][500/1281] lr: 1.551e-02, eta: 12:32:15, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9988, loss_cls: 1.9087, loss: 1.9087 +2023-12-11 12:21:51,367 - pyskl - INFO - Epoch [64][600/1281] lr: 1.549e-02, eta: 12:31:40, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9969, loss_cls: 1.9332, loss: 1.9332 +2023-12-11 12:22:35,140 - pyskl - INFO - Epoch [64][700/1281] lr: 1.547e-02, eta: 12:31:03, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9994, loss_cls: 1.8622, loss: 1.8622 +2023-12-11 12:23:18,365 - pyskl - INFO - Epoch [64][800/1281] lr: 1.545e-02, eta: 12:30:26, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9988, loss_cls: 1.9056, loss: 1.9056 +2023-12-11 12:24:01,608 - pyskl - INFO - Epoch [64][900/1281] lr: 1.543e-02, eta: 12:29:49, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9938, loss_cls: 1.9754, loss: 1.9754 +2023-12-11 12:24:44,617 - pyskl - INFO - Epoch [64][1000/1281] lr: 1.541e-02, eta: 12:29:11, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 1.8994, loss: 1.8994 +2023-12-11 12:25:27,364 - pyskl - INFO - Epoch [64][1100/1281] lr: 1.539e-02, eta: 12:28:33, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9969, loss_cls: 1.9294, loss: 1.9294 +2023-12-11 12:26:10,968 - pyskl - INFO - Epoch [64][1200/1281] lr: 1.537e-02, eta: 12:27:56, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9981, loss_cls: 1.9154, loss: 1.9154 +2023-12-11 12:26:46,179 - pyskl - INFO - Saving checkpoint at 64 epochs +2023-12-11 12:27:59,574 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 12:27:59,646 - pyskl - INFO - +top1_acc 0.8351 +top5_acc 0.9887 +2023-12-11 12:27:59,647 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 12:27:59,656 - pyskl - INFO - +mean_acc 0.8076 +2023-12-11 12:27:59,659 - pyskl - INFO - Epoch(val) [64][533] top1_acc: 0.8351, top5_acc: 0.9887, mean_class_accuracy: 0.8076 +2023-12-11 12:28:53,568 - pyskl - INFO - Epoch [65][100/1281] lr: 1.533e-02, eta: 12:26:16, time: 0.539, data_time: 0.199, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9994, loss_cls: 1.8606, loss: 1.8606 +2023-12-11 12:29:32,162 - pyskl - INFO - Epoch [65][200/1281] lr: 1.531e-02, eta: 12:25:33, time: 0.386, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 1.8056, loss: 1.8056 +2023-12-11 12:29:58,844 - pyskl - INFO - Epoch [65][300/1281] lr: 1.529e-02, eta: 12:24:33, time: 0.267, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 1.7735, loss: 1.7735 +2023-12-11 12:30:42,963 - pyskl - INFO - Epoch [65][400/1281] lr: 1.527e-02, eta: 12:23:57, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9962, loss_cls: 1.8435, loss: 1.8435 +2023-12-11 12:31:26,745 - pyskl - INFO - Epoch [65][500/1281] lr: 1.526e-02, eta: 12:23:21, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9975, loss_cls: 1.9016, loss: 1.9016 +2023-12-11 12:32:10,097 - pyskl - INFO - Epoch [65][600/1281] lr: 1.524e-02, eta: 12:22:44, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9988, loss_cls: 1.9807, loss: 1.9807 +2023-12-11 12:32:53,501 - pyskl - INFO - Epoch [65][700/1281] lr: 1.522e-02, eta: 12:22:07, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9950, loss_cls: 1.8923, loss: 1.8923 +2023-12-11 12:33:36,778 - pyskl - INFO - Epoch [65][800/1281] lr: 1.520e-02, eta: 12:21:29, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9956, loss_cls: 1.9336, loss: 1.9336 +2023-12-11 12:34:19,452 - pyskl - INFO - Epoch [65][900/1281] lr: 1.518e-02, eta: 12:20:51, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9981, loss_cls: 1.9426, loss: 1.9426 +2023-12-11 12:35:02,546 - pyskl - INFO - Epoch [65][1000/1281] lr: 1.516e-02, eta: 12:20:14, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9956, loss_cls: 1.9221, loss: 1.9221 +2023-12-11 12:35:45,625 - pyskl - INFO - Epoch [65][1100/1281] lr: 1.514e-02, eta: 12:19:36, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9969, loss_cls: 1.9033, loss: 1.9033 +2023-12-11 12:36:28,728 - pyskl - INFO - Epoch [65][1200/1281] lr: 1.512e-02, eta: 12:18:59, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9962, loss_cls: 1.9728, loss: 1.9728 +2023-12-11 12:37:03,880 - pyskl - INFO - Saving checkpoint at 65 epochs +2023-12-11 12:38:18,418 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 12:38:18,484 - pyskl - INFO - +top1_acc 0.8341 +top5_acc 0.9883 +2023-12-11 12:38:18,485 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 12:38:18,494 - pyskl - INFO - +mean_acc 0.7692 +2023-12-11 12:38:18,497 - pyskl - INFO - Epoch(val) [65][533] top1_acc: 0.8341, top5_acc: 0.9883, mean_class_accuracy: 0.7692 +2023-12-11 12:39:05,081 - pyskl - INFO - Epoch [66][100/1281] lr: 1.508e-02, eta: 12:17:10, time: 0.466, data_time: 0.203, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9981, loss_cls: 1.9210, loss: 1.9210 +2023-12-11 12:39:49,941 - pyskl - INFO - Epoch [66][200/1281] lr: 1.506e-02, eta: 12:16:35, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9975, loss_cls: 1.9660, loss: 1.9660 +2023-12-11 12:40:13,049 - pyskl - INFO - Epoch [66][300/1281] lr: 1.504e-02, eta: 12:15:31, time: 0.231, data_time: 0.002, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9988, loss_cls: 1.8894, loss: 1.8894 +2023-12-11 12:40:53,524 - pyskl - INFO - Epoch [66][400/1281] lr: 1.502e-02, eta: 12:14:50, time: 0.405, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9988, loss_cls: 1.9201, loss: 1.9201 +2023-12-11 12:41:37,441 - pyskl - INFO - Epoch [66][500/1281] lr: 1.500e-02, eta: 12:14:14, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9988, loss_cls: 1.8841, loss: 1.8841 +2023-12-11 12:42:21,633 - pyskl - INFO - Epoch [66][600/1281] lr: 1.498e-02, eta: 12:13:38, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9950, loss_cls: 1.9799, loss: 1.9799 +2023-12-11 12:43:05,778 - pyskl - INFO - Epoch [66][700/1281] lr: 1.496e-02, eta: 12:13:02, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9962, loss_cls: 1.9624, loss: 1.9624 +2023-12-11 12:43:49,336 - pyskl - INFO - Epoch [66][800/1281] lr: 1.494e-02, eta: 12:12:25, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9962, loss_cls: 1.9293, loss: 1.9293 +2023-12-11 12:44:32,280 - pyskl - INFO - Epoch [66][900/1281] lr: 1.492e-02, eta: 12:11:47, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 1.8646, loss: 1.8646 +2023-12-11 12:45:15,395 - pyskl - INFO - Epoch [66][1000/1281] lr: 1.490e-02, eta: 12:11:09, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9988, loss_cls: 1.9019, loss: 1.9019 +2023-12-11 12:45:58,570 - pyskl - INFO - Epoch [66][1100/1281] lr: 1.488e-02, eta: 12:10:32, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 1.8841, loss: 1.8841 +2023-12-11 12:46:41,409 - pyskl - INFO - Epoch [66][1200/1281] lr: 1.486e-02, eta: 12:09:54, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9988, loss_cls: 1.8946, loss: 1.8946 +2023-12-11 12:47:16,525 - pyskl - INFO - Saving checkpoint at 66 epochs +2023-12-11 12:48:30,282 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 12:48:30,341 - pyskl - INFO - +top1_acc 0.8251 +top5_acc 0.9879 +2023-12-11 12:48:30,342 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 12:48:30,349 - pyskl - INFO - +mean_acc 0.7824 +2023-12-11 12:48:30,352 - pyskl - INFO - Epoch(val) [66][533] top1_acc: 0.8251, top5_acc: 0.9879, mean_class_accuracy: 0.7824 +2023-12-11 12:49:17,147 - pyskl - INFO - Epoch [67][100/1281] lr: 1.482e-02, eta: 12:08:06, time: 0.468, data_time: 0.193, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9994, loss_cls: 1.8254, loss: 1.8254 +2023-12-11 12:49:59,524 - pyskl - INFO - Epoch [67][200/1281] lr: 1.480e-02, eta: 12:07:28, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9975, loss_cls: 1.8502, loss: 1.8502 +2023-12-11 12:50:32,361 - pyskl - INFO - Epoch [67][300/1281] lr: 1.478e-02, eta: 12:06:37, time: 0.328, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9969, loss_cls: 1.8984, loss: 1.8984 +2023-12-11 12:51:07,339 - pyskl - INFO - Epoch [67][400/1281] lr: 1.476e-02, eta: 12:05:50, time: 0.350, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9994, loss_cls: 1.8702, loss: 1.8702 +2023-12-11 12:51:51,883 - pyskl - INFO - Epoch [67][500/1281] lr: 1.474e-02, eta: 12:05:14, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9969, loss_cls: 1.8399, loss: 1.8399 +2023-12-11 12:52:35,597 - pyskl - INFO - Epoch [67][600/1281] lr: 1.472e-02, eta: 12:04:37, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9969, loss_cls: 1.8903, loss: 1.8903 +2023-12-11 12:53:19,309 - pyskl - INFO - Epoch [67][700/1281] lr: 1.470e-02, eta: 12:04:01, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 1.8556, loss: 1.8556 +2023-12-11 12:54:02,338 - pyskl - INFO - Epoch [67][800/1281] lr: 1.468e-02, eta: 12:03:23, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9981, loss_cls: 1.9477, loss: 1.9477 +2023-12-11 12:54:45,273 - pyskl - INFO - Epoch [67][900/1281] lr: 1.466e-02, eta: 12:02:45, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9981, loss_cls: 1.8974, loss: 1.8974 +2023-12-11 12:55:28,401 - pyskl - INFO - Epoch [67][1000/1281] lr: 1.464e-02, eta: 12:02:08, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9988, loss_cls: 1.8809, loss: 1.8809 +2023-12-11 12:56:11,068 - pyskl - INFO - Epoch [67][1100/1281] lr: 1.462e-02, eta: 12:01:29, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9969, loss_cls: 1.8628, loss: 1.8628 +2023-12-11 12:56:53,846 - pyskl - INFO - Epoch [67][1200/1281] lr: 1.460e-02, eta: 12:00:51, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9956, loss_cls: 1.8588, loss: 1.8588 +2023-12-11 12:57:29,348 - pyskl - INFO - Saving checkpoint at 67 epochs +2023-12-11 12:58:44,696 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 12:58:44,789 - pyskl - INFO - +top1_acc 0.8517 +top5_acc 0.9910 +2023-12-11 12:58:44,789 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 12:58:44,802 - pyskl - INFO - +mean_acc 0.7890 +2023-12-11 12:58:44,808 - pyskl - INFO - Epoch(val) [67][533] top1_acc: 0.8517, top5_acc: 0.9910, mean_class_accuracy: 0.7890 +2023-12-11 12:59:39,679 - pyskl - INFO - Epoch [68][100/1281] lr: 1.456e-02, eta: 11:59:15, time: 0.549, data_time: 0.241, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 1.8599, loss: 1.8599 +2023-12-11 13:00:18,887 - pyskl - INFO - Epoch [68][200/1281] lr: 1.454e-02, eta: 11:58:32, time: 0.392, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9981, loss_cls: 1.8549, loss: 1.8549 +2023-12-11 13:00:54,986 - pyskl - INFO - Epoch [68][300/1281] lr: 1.452e-02, eta: 11:57:46, time: 0.361, data_time: 0.002, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9988, loss_cls: 1.8277, loss: 1.8277 +2023-12-11 13:01:27,269 - pyskl - INFO - Epoch [68][400/1281] lr: 1.450e-02, eta: 11:56:55, time: 0.323, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9962, loss_cls: 1.8828, loss: 1.8828 +2023-12-11 13:02:10,956 - pyskl - INFO - Epoch [68][500/1281] lr: 1.448e-02, eta: 11:56:18, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 1.9149, loss: 1.9149 +2023-12-11 13:02:53,519 - pyskl - INFO - Epoch [68][600/1281] lr: 1.446e-02, eta: 11:55:40, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9975, loss_cls: 1.8807, loss: 1.8807 +2023-12-11 13:03:36,695 - pyskl - INFO - Epoch [68][700/1281] lr: 1.444e-02, eta: 11:55:03, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9975, loss_cls: 1.8766, loss: 1.8766 +2023-12-11 13:04:19,342 - pyskl - INFO - Epoch [68][800/1281] lr: 1.442e-02, eta: 11:54:25, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9956, loss_cls: 1.9179, loss: 1.9179 +2023-12-11 13:05:02,718 - pyskl - INFO - Epoch [68][900/1281] lr: 1.440e-02, eta: 11:53:47, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9969, loss_cls: 1.8935, loss: 1.8935 +2023-12-11 13:05:45,730 - pyskl - INFO - Epoch [68][1000/1281] lr: 1.438e-02, eta: 11:53:10, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9969, loss_cls: 1.9134, loss: 1.9134 +2023-12-11 13:06:28,835 - pyskl - INFO - Epoch [68][1100/1281] lr: 1.436e-02, eta: 11:52:32, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9988, loss_cls: 1.9121, loss: 1.9121 +2023-12-11 13:07:12,389 - pyskl - INFO - Epoch [68][1200/1281] lr: 1.434e-02, eta: 11:51:55, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 1.9250, loss: 1.9250 +2023-12-11 13:07:48,631 - pyskl - INFO - Saving checkpoint at 68 epochs +2023-12-11 13:09:08,387 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 13:09:08,452 - pyskl - INFO - +top1_acc 0.8497 +top5_acc 0.9897 +2023-12-11 13:09:08,452 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 13:09:08,459 - pyskl - INFO - +mean_acc 0.7823 +2023-12-11 13:09:08,462 - pyskl - INFO - Epoch(val) [68][533] top1_acc: 0.8497, top5_acc: 0.9897, mean_class_accuracy: 0.7823 +2023-12-11 13:10:02,901 - pyskl - INFO - Epoch [69][100/1281] lr: 1.431e-02, eta: 11:50:18, time: 0.544, data_time: 0.245, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9981, loss_cls: 1.8156, loss: 1.8156 +2023-12-11 13:10:42,288 - pyskl - INFO - Epoch [69][200/1281] lr: 1.429e-02, eta: 11:49:36, time: 0.394, data_time: 0.001, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 1.8314, loss: 1.8314 +2023-12-11 13:11:17,541 - pyskl - INFO - Epoch [69][300/1281] lr: 1.427e-02, eta: 11:48:49, time: 0.353, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 1.0000, loss_cls: 1.8361, loss: 1.8361 +2023-12-11 13:11:46,294 - pyskl - INFO - Epoch [69][400/1281] lr: 1.425e-02, eta: 11:47:54, time: 0.288, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9975, loss_cls: 1.9139, loss: 1.9139 +2023-12-11 13:12:29,518 - pyskl - INFO - Epoch [69][500/1281] lr: 1.423e-02, eta: 11:47:17, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9994, loss_cls: 1.9030, loss: 1.9030 +2023-12-11 13:13:12,416 - pyskl - INFO - Epoch [69][600/1281] lr: 1.420e-02, eta: 11:46:39, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 1.9191, loss: 1.9191 +2023-12-11 13:13:55,489 - pyskl - INFO - Epoch [69][700/1281] lr: 1.418e-02, eta: 11:46:01, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9988, loss_cls: 1.9280, loss: 1.9280 +2023-12-11 13:14:38,363 - pyskl - INFO - Epoch [69][800/1281] lr: 1.416e-02, eta: 11:45:24, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9981, loss_cls: 1.9038, loss: 1.9038 +2023-12-11 13:15:21,346 - pyskl - INFO - Epoch [69][900/1281] lr: 1.414e-02, eta: 11:44:46, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9969, loss_cls: 1.9311, loss: 1.9311 +2023-12-11 13:16:04,072 - pyskl - INFO - Epoch [69][1000/1281] lr: 1.412e-02, eta: 11:44:08, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 1.8608, loss: 1.8608 +2023-12-11 13:16:46,999 - pyskl - INFO - Epoch [69][1100/1281] lr: 1.410e-02, eta: 11:43:30, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 1.8587, loss: 1.8587 +2023-12-11 13:17:29,867 - pyskl - INFO - Epoch [69][1200/1281] lr: 1.408e-02, eta: 11:42:52, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9994, loss_cls: 1.8887, loss: 1.8887 +2023-12-11 13:18:05,659 - pyskl - INFO - Saving checkpoint at 69 epochs +2023-12-11 13:19:26,299 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 13:19:26,367 - pyskl - INFO - +top1_acc 0.8684 +top5_acc 0.9914 +2023-12-11 13:19:26,367 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 13:19:26,376 - pyskl - INFO - +mean_acc 0.8165 +2023-12-11 13:19:26,387 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_55.pth was removed +2023-12-11 13:19:26,627 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_69.pth. +2023-12-11 13:19:26,627 - pyskl - INFO - Best top1_acc is 0.8684 at 69 epoch. +2023-12-11 13:19:26,630 - pyskl - INFO - Epoch(val) [69][533] top1_acc: 0.8684, top5_acc: 0.9914, mean_class_accuracy: 0.8165 +2023-12-11 13:20:25,129 - pyskl - INFO - Epoch [70][100/1281] lr: 1.405e-02, eta: 11:41:21, time: 0.585, data_time: 0.237, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9981, loss_cls: 1.8510, loss: 1.8510 +2023-12-11 13:20:59,540 - pyskl - INFO - Epoch [70][200/1281] lr: 1.403e-02, eta: 11:40:33, time: 0.344, data_time: 0.002, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 1.8364, loss: 1.8364 +2023-12-11 13:21:38,787 - pyskl - INFO - Epoch [70][300/1281] lr: 1.401e-02, eta: 11:39:51, time: 0.392, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 1.8708, loss: 1.8708 +2023-12-11 13:22:06,159 - pyskl - INFO - Epoch [70][400/1281] lr: 1.399e-02, eta: 11:38:55, time: 0.274, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 1.0000, loss_cls: 1.8626, loss: 1.8626 +2023-12-11 13:22:48,957 - pyskl - INFO - Epoch [70][500/1281] lr: 1.397e-02, eta: 11:38:17, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 1.7923, loss: 1.7923 +2023-12-11 13:23:32,622 - pyskl - INFO - Epoch [70][600/1281] lr: 1.395e-02, eta: 11:37:40, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 1.8195, loss: 1.8195 +2023-12-11 13:24:15,941 - pyskl - INFO - Epoch [70][700/1281] lr: 1.392e-02, eta: 11:37:02, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9969, loss_cls: 1.8513, loss: 1.8513 +2023-12-11 13:24:59,043 - pyskl - INFO - Epoch [70][800/1281] lr: 1.390e-02, eta: 11:36:25, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9988, loss_cls: 1.8905, loss: 1.8905 +2023-12-11 13:25:42,147 - pyskl - INFO - Epoch [70][900/1281] lr: 1.388e-02, eta: 11:35:47, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9988, loss_cls: 1.9291, loss: 1.9291 +2023-12-11 13:26:24,756 - pyskl - INFO - Epoch [70][1000/1281] lr: 1.386e-02, eta: 11:35:09, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9975, loss_cls: 1.9075, loss: 1.9075 +2023-12-11 13:27:07,329 - pyskl - INFO - Epoch [70][1100/1281] lr: 1.384e-02, eta: 11:34:30, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9981, loss_cls: 1.9042, loss: 1.9042 +2023-12-11 13:27:50,466 - pyskl - INFO - Epoch [70][1200/1281] lr: 1.382e-02, eta: 11:33:53, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 1.8981, loss: 1.8981 +2023-12-11 13:28:27,135 - pyskl - INFO - Saving checkpoint at 70 epochs +2023-12-11 13:29:47,920 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 13:29:47,991 - pyskl - INFO - +top1_acc 0.8450 +top5_acc 0.9900 +2023-12-11 13:29:47,991 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 13:29:48,000 - pyskl - INFO - +mean_acc 0.8019 +2023-12-11 13:29:48,002 - pyskl - INFO - Epoch(val) [70][533] top1_acc: 0.8450, top5_acc: 0.9900, mean_class_accuracy: 0.8019 +2023-12-11 13:30:44,727 - pyskl - INFO - Epoch [71][100/1281] lr: 1.379e-02, eta: 11:32:20, time: 0.567, data_time: 0.235, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9994, loss_cls: 1.7852, loss: 1.7852 +2023-12-11 13:31:22,508 - pyskl - INFO - Epoch [71][200/1281] lr: 1.377e-02, eta: 11:31:36, time: 0.378, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9988, loss_cls: 1.8231, loss: 1.8231 +2023-12-11 13:31:58,287 - pyskl - INFO - Epoch [71][300/1281] lr: 1.375e-02, eta: 11:30:50, time: 0.358, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9988, loss_cls: 1.7609, loss: 1.7609 +2023-12-11 13:32:26,460 - pyskl - INFO - Epoch [71][400/1281] lr: 1.373e-02, eta: 11:29:56, time: 0.282, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 1.8196, loss: 1.8196 +2023-12-11 13:33:09,318 - pyskl - INFO - Epoch [71][500/1281] lr: 1.371e-02, eta: 11:29:18, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 1.8252, loss: 1.8252 +2023-12-11 13:33:52,715 - pyskl - INFO - Epoch [71][600/1281] lr: 1.368e-02, eta: 11:28:40, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 1.7718, loss: 1.7718 +2023-12-11 13:34:36,278 - pyskl - INFO - Epoch [71][700/1281] lr: 1.366e-02, eta: 11:28:03, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9969, loss_cls: 1.7866, loss: 1.7866 +2023-12-11 13:35:18,677 - pyskl - INFO - Epoch [71][800/1281] lr: 1.364e-02, eta: 11:27:25, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9981, loss_cls: 1.8153, loss: 1.8153 +2023-12-11 13:36:01,663 - pyskl - INFO - Epoch [71][900/1281] lr: 1.362e-02, eta: 11:26:47, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9956, loss_cls: 1.8810, loss: 1.8810 +2023-12-11 13:36:44,353 - pyskl - INFO - Epoch [71][1000/1281] lr: 1.360e-02, eta: 11:26:09, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9988, loss_cls: 1.8709, loss: 1.8709 +2023-12-11 13:37:27,744 - pyskl - INFO - Epoch [71][1100/1281] lr: 1.358e-02, eta: 11:25:31, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9994, loss_cls: 1.8385, loss: 1.8385 +2023-12-11 13:38:11,536 - pyskl - INFO - Epoch [71][1200/1281] lr: 1.356e-02, eta: 11:24:54, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9956, loss_cls: 1.9310, loss: 1.9310 +2023-12-11 13:38:47,689 - pyskl - INFO - Saving checkpoint at 71 epochs +2023-12-11 13:40:08,602 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 13:40:08,684 - pyskl - INFO - +top1_acc 0.8664 +top5_acc 0.9897 +2023-12-11 13:40:08,684 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 13:40:08,696 - pyskl - INFO - +mean_acc 0.8084 +2023-12-11 13:40:08,700 - pyskl - INFO - Epoch(val) [71][533] top1_acc: 0.8664, top5_acc: 0.9897, mean_class_accuracy: 0.8084 +2023-12-11 13:41:02,559 - pyskl - INFO - Epoch [72][100/1281] lr: 1.353e-02, eta: 11:23:19, time: 0.539, data_time: 0.230, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 1.7878, loss: 1.7878 +2023-12-11 13:41:41,361 - pyskl - INFO - Epoch [72][200/1281] lr: 1.351e-02, eta: 11:22:37, time: 0.388, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9962, loss_cls: 1.8133, loss: 1.8133 +2023-12-11 13:42:15,011 - pyskl - INFO - Epoch [72][300/1281] lr: 1.349e-02, eta: 11:21:48, time: 0.336, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 1.8755, loss: 1.8755 +2023-12-11 13:42:46,102 - pyskl - INFO - Epoch [72][400/1281] lr: 1.346e-02, eta: 11:20:58, time: 0.311, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 1.7860, loss: 1.7860 +2023-12-11 13:43:28,871 - pyskl - INFO - Epoch [72][500/1281] lr: 1.344e-02, eta: 11:20:19, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9988, loss_cls: 1.8030, loss: 1.8030 +2023-12-11 13:44:11,608 - pyskl - INFO - Epoch [72][600/1281] lr: 1.342e-02, eta: 11:19:41, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9969, loss_cls: 1.7793, loss: 1.7793 +2023-12-11 13:44:54,342 - pyskl - INFO - Epoch [72][700/1281] lr: 1.340e-02, eta: 11:19:03, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9994, loss_cls: 1.7863, loss: 1.7863 +2023-12-11 13:45:37,566 - pyskl - INFO - Epoch [72][800/1281] lr: 1.338e-02, eta: 11:18:26, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9975, loss_cls: 1.8181, loss: 1.8181 +2023-12-11 13:46:20,266 - pyskl - INFO - Epoch [72][900/1281] lr: 1.336e-02, eta: 11:17:47, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9981, loss_cls: 1.8547, loss: 1.8547 +2023-12-11 13:47:02,989 - pyskl - INFO - Epoch [72][1000/1281] lr: 1.334e-02, eta: 11:17:09, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 1.0000, loss_cls: 1.8420, loss: 1.8420 +2023-12-11 13:47:46,637 - pyskl - INFO - Epoch [72][1100/1281] lr: 1.332e-02, eta: 11:16:32, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9988, loss_cls: 1.8823, loss: 1.8823 +2023-12-11 13:48:31,028 - pyskl - INFO - Epoch [72][1200/1281] lr: 1.330e-02, eta: 11:15:56, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9975, loss_cls: 1.9417, loss: 1.9417 +2023-12-11 13:49:07,859 - pyskl - INFO - Saving checkpoint at 72 epochs +2023-12-11 13:50:26,687 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 13:50:26,747 - pyskl - INFO - +top1_acc 0.8728 +top5_acc 0.9917 +2023-12-11 13:50:26,747 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 13:50:26,756 - pyskl - INFO - +mean_acc 0.8195 +2023-12-11 13:50:26,760 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_69.pth was removed +2023-12-11 13:50:26,991 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_72.pth. +2023-12-11 13:50:26,991 - pyskl - INFO - Best top1_acc is 0.8728 at 72 epoch. +2023-12-11 13:50:26,994 - pyskl - INFO - Epoch(val) [72][533] top1_acc: 0.8728, top5_acc: 0.9917, mean_class_accuracy: 0.8195 +2023-12-11 13:51:17,649 - pyskl - INFO - Epoch [73][100/1281] lr: 1.326e-02, eta: 11:14:18, time: 0.506, data_time: 0.192, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9969, loss_cls: 1.8242, loss: 1.8242 +2023-12-11 13:51:53,031 - pyskl - INFO - Epoch [73][200/1281] lr: 1.324e-02, eta: 11:13:32, time: 0.354, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 1.8232, loss: 1.8232 +2023-12-11 13:52:30,308 - pyskl - INFO - Epoch [73][300/1281] lr: 1.322e-02, eta: 11:12:48, time: 0.373, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 1.7464, loss: 1.7464 +2023-12-11 13:52:57,885 - pyskl - INFO - Epoch [73][400/1281] lr: 1.320e-02, eta: 11:11:53, time: 0.276, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 1.0000, loss_cls: 1.8282, loss: 1.8282 +2023-12-11 13:53:40,685 - pyskl - INFO - Epoch [73][500/1281] lr: 1.318e-02, eta: 11:11:15, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9994, loss_cls: 1.7923, loss: 1.7923 +2023-12-11 13:54:23,286 - pyskl - INFO - Epoch [73][600/1281] lr: 1.316e-02, eta: 11:10:37, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 1.8244, loss: 1.8244 +2023-12-11 13:55:06,599 - pyskl - INFO - Epoch [73][700/1281] lr: 1.314e-02, eta: 11:09:59, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 1.8194, loss: 1.8194 +2023-12-11 13:55:49,600 - pyskl - INFO - Epoch [73][800/1281] lr: 1.312e-02, eta: 11:09:21, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9975, loss_cls: 1.8535, loss: 1.8535 +2023-12-11 13:56:33,066 - pyskl - INFO - Epoch [73][900/1281] lr: 1.310e-02, eta: 11:08:44, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9994, loss_cls: 1.8531, loss: 1.8531 +2023-12-11 13:57:17,385 - pyskl - INFO - Epoch [73][1000/1281] lr: 1.308e-02, eta: 11:08:07, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 1.8653, loss: 1.8653 +2023-12-11 13:58:01,399 - pyskl - INFO - Epoch [73][1100/1281] lr: 1.306e-02, eta: 11:07:31, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9988, loss_cls: 1.8377, loss: 1.8377 +2023-12-11 13:58:44,936 - pyskl - INFO - Epoch [73][1200/1281] lr: 1.304e-02, eta: 11:06:53, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 1.8806, loss: 1.8806 +2023-12-11 13:59:21,473 - pyskl - INFO - Saving checkpoint at 73 epochs +2023-12-11 14:00:36,443 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 14:00:36,505 - pyskl - INFO - +top1_acc 0.8438 +top5_acc 0.9881 +2023-12-11 14:00:36,505 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 14:00:36,513 - pyskl - INFO - +mean_acc 0.7969 +2023-12-11 14:00:36,516 - pyskl - INFO - Epoch(val) [73][533] top1_acc: 0.8438, top5_acc: 0.9881, mean_class_accuracy: 0.7969 +2023-12-11 14:01:34,359 - pyskl - INFO - Epoch [74][100/1281] lr: 1.300e-02, eta: 11:05:24, time: 0.578, data_time: 0.200, memory: 4120, top1_acc: 0.9356, top5_acc: 1.0000, loss_cls: 1.7955, loss: 1.7955 +2023-12-11 14:02:04,954 - pyskl - INFO - Epoch [74][200/1281] lr: 1.298e-02, eta: 11:04:33, time: 0.306, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9975, loss_cls: 1.7911, loss: 1.7911 +2023-12-11 14:02:46,679 - pyskl - INFO - Epoch [74][300/1281] lr: 1.296e-02, eta: 11:03:53, time: 0.417, data_time: 0.001, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9969, loss_cls: 1.8413, loss: 1.8413 +2023-12-11 14:03:09,968 - pyskl - INFO - Epoch [74][400/1281] lr: 1.294e-02, eta: 11:02:55, time: 0.233, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9975, loss_cls: 1.8532, loss: 1.8532 +2023-12-11 14:03:53,027 - pyskl - INFO - Epoch [74][500/1281] lr: 1.292e-02, eta: 11:02:17, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9950, loss_cls: 1.9307, loss: 1.9307 +2023-12-11 14:04:36,187 - pyskl - INFO - Epoch [74][600/1281] lr: 1.290e-02, eta: 11:01:39, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9981, loss_cls: 1.8215, loss: 1.8215 +2023-12-11 14:05:19,718 - pyskl - INFO - Epoch [74][700/1281] lr: 1.288e-02, eta: 11:01:02, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9994, loss_cls: 1.8186, loss: 1.8186 +2023-12-11 14:06:03,976 - pyskl - INFO - Epoch [74][800/1281] lr: 1.286e-02, eta: 11:00:25, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 1.8175, loss: 1.8175 +2023-12-11 14:06:48,337 - pyskl - INFO - Epoch [74][900/1281] lr: 1.284e-02, eta: 10:59:49, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9988, loss_cls: 1.8236, loss: 1.8236 +2023-12-11 14:07:32,317 - pyskl - INFO - Epoch [74][1000/1281] lr: 1.282e-02, eta: 10:59:12, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9950, loss_cls: 1.8409, loss: 1.8409 +2023-12-11 14:08:16,039 - pyskl - INFO - Epoch [74][1100/1281] lr: 1.280e-02, eta: 10:58:35, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9994, loss_cls: 1.8015, loss: 1.8015 +2023-12-11 14:08:58,720 - pyskl - INFO - Epoch [74][1200/1281] lr: 1.278e-02, eta: 10:57:57, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9981, loss_cls: 1.8341, loss: 1.8341 +2023-12-11 14:09:33,990 - pyskl - INFO - Saving checkpoint at 74 epochs +2023-12-11 14:10:48,480 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 14:10:48,536 - pyskl - INFO - +top1_acc 0.8618 +top5_acc 0.9908 +2023-12-11 14:10:48,536 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 14:10:48,543 - pyskl - INFO - +mean_acc 0.7967 +2023-12-11 14:10:48,545 - pyskl - INFO - Epoch(val) [74][533] top1_acc: 0.8618, top5_acc: 0.9908, mean_class_accuracy: 0.7967 +2023-12-11 14:11:49,237 - pyskl - INFO - Epoch [75][100/1281] lr: 1.274e-02, eta: 10:56:30, time: 0.607, data_time: 0.187, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 1.7676, loss: 1.7676 +2023-12-11 14:12:14,469 - pyskl - INFO - Epoch [75][200/1281] lr: 1.272e-02, eta: 10:55:34, time: 0.252, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9981, loss_cls: 1.7961, loss: 1.7961 +2023-12-11 14:12:58,979 - pyskl - INFO - Epoch [75][300/1281] lr: 1.270e-02, eta: 10:54:58, time: 0.445, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9975, loss_cls: 1.8254, loss: 1.8254 +2023-12-11 14:13:22,955 - pyskl - INFO - Epoch [75][400/1281] lr: 1.268e-02, eta: 10:54:00, time: 0.240, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9994, loss_cls: 1.8568, loss: 1.8568 +2023-12-11 14:14:02,774 - pyskl - INFO - Epoch [75][500/1281] lr: 1.266e-02, eta: 10:53:19, time: 0.398, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9988, loss_cls: 1.8186, loss: 1.8186 +2023-12-11 14:14:46,113 - pyskl - INFO - Epoch [75][600/1281] lr: 1.264e-02, eta: 10:52:42, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9981, loss_cls: 1.8146, loss: 1.8146 +2023-12-11 14:15:29,915 - pyskl - INFO - Epoch [75][700/1281] lr: 1.262e-02, eta: 10:52:05, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 1.7887, loss: 1.7887 +2023-12-11 14:16:14,199 - pyskl - INFO - Epoch [75][800/1281] lr: 1.260e-02, eta: 10:51:28, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 1.7799, loss: 1.7799 +2023-12-11 14:16:57,795 - pyskl - INFO - Epoch [75][900/1281] lr: 1.258e-02, eta: 10:50:51, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9994, loss_cls: 1.8189, loss: 1.8189 +2023-12-11 14:17:42,382 - pyskl - INFO - Epoch [75][1000/1281] lr: 1.256e-02, eta: 10:50:14, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 1.7850, loss: 1.7850 +2023-12-11 14:18:25,254 - pyskl - INFO - Epoch [75][1100/1281] lr: 1.254e-02, eta: 10:49:36, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9988, loss_cls: 1.8564, loss: 1.8564 +2023-12-11 14:19:08,390 - pyskl - INFO - Epoch [75][1200/1281] lr: 1.252e-02, eta: 10:48:58, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 1.8134, loss: 1.8134 +2023-12-11 14:19:44,120 - pyskl - INFO - Saving checkpoint at 75 epochs +2023-12-11 14:20:59,425 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 14:20:59,481 - pyskl - INFO - +top1_acc 0.8557 +top5_acc 0.9894 +2023-12-11 14:20:59,481 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 14:20:59,488 - pyskl - INFO - +mean_acc 0.8107 +2023-12-11 14:20:59,491 - pyskl - INFO - Epoch(val) [75][533] top1_acc: 0.8557, top5_acc: 0.9894, mean_class_accuracy: 0.8107 +2023-12-11 14:22:00,184 - pyskl - INFO - Epoch [76][100/1281] lr: 1.248e-02, eta: 10:47:32, time: 0.607, data_time: 0.182, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 1.8116, loss: 1.8116 +2023-12-11 14:22:26,681 - pyskl - INFO - Epoch [76][200/1281] lr: 1.246e-02, eta: 10:46:38, time: 0.265, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9994, loss_cls: 1.7576, loss: 1.7576 +2023-12-11 14:23:08,383 - pyskl - INFO - Epoch [76][300/1281] lr: 1.244e-02, eta: 10:45:59, time: 0.417, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9988, loss_cls: 1.8294, loss: 1.8294 +2023-12-11 14:23:40,907 - pyskl - INFO - Epoch [76][400/1281] lr: 1.242e-02, eta: 10:45:10, time: 0.325, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9994, loss_cls: 1.8803, loss: 1.8803 +2023-12-11 14:24:14,945 - pyskl - INFO - Epoch [76][500/1281] lr: 1.240e-02, eta: 10:44:24, time: 0.340, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 1.7614, loss: 1.7614 +2023-12-11 14:24:58,683 - pyskl - INFO - Epoch [76][600/1281] lr: 1.238e-02, eta: 10:43:46, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 1.0000, loss_cls: 1.7461, loss: 1.7461 +2023-12-11 14:25:42,692 - pyskl - INFO - Epoch [76][700/1281] lr: 1.236e-02, eta: 10:43:09, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9988, loss_cls: 1.7891, loss: 1.7891 +2023-12-11 14:26:25,573 - pyskl - INFO - Epoch [76][800/1281] lr: 1.234e-02, eta: 10:42:31, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 1.7431, loss: 1.7431 +2023-12-11 14:27:08,847 - pyskl - INFO - Epoch [76][900/1281] lr: 1.232e-02, eta: 10:41:54, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 1.7768, loss: 1.7768 +2023-12-11 14:27:52,264 - pyskl - INFO - Epoch [76][1000/1281] lr: 1.230e-02, eta: 10:41:16, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 1.8733, loss: 1.8733 +2023-12-11 14:28:35,470 - pyskl - INFO - Epoch [76][1100/1281] lr: 1.228e-02, eta: 10:40:38, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9988, loss_cls: 1.8525, loss: 1.8525 +2023-12-11 14:29:18,448 - pyskl - INFO - Epoch [76][1200/1281] lr: 1.225e-02, eta: 10:40:00, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 1.7711, loss: 1.7711 +2023-12-11 14:29:53,986 - pyskl - INFO - Saving checkpoint at 76 epochs +2023-12-11 14:31:07,668 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 14:31:07,734 - pyskl - INFO - +top1_acc 0.8714 +top5_acc 0.9913 +2023-12-11 14:31:07,735 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 14:31:07,744 - pyskl - INFO - +mean_acc 0.8175 +2023-12-11 14:31:07,747 - pyskl - INFO - Epoch(val) [76][533] top1_acc: 0.8714, top5_acc: 0.9913, mean_class_accuracy: 0.8175 +2023-12-11 14:32:09,155 - pyskl - INFO - Epoch [77][100/1281] lr: 1.222e-02, eta: 10:38:35, time: 0.614, data_time: 0.186, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 1.7861, loss: 1.7861 +2023-12-11 14:32:44,608 - pyskl - INFO - Epoch [77][200/1281] lr: 1.220e-02, eta: 10:37:50, time: 0.355, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 1.7513, loss: 1.7513 +2023-12-11 14:33:18,233 - pyskl - INFO - Epoch [77][300/1281] lr: 1.218e-02, eta: 10:37:03, time: 0.336, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9962, loss_cls: 1.8027, loss: 1.8027 +2023-12-11 14:33:59,219 - pyskl - INFO - Epoch [77][400/1281] lr: 1.216e-02, eta: 10:36:23, time: 0.410, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 1.7626, loss: 1.7626 +2023-12-11 14:34:28,257 - pyskl - INFO - Epoch [77][500/1281] lr: 1.214e-02, eta: 10:35:32, time: 0.290, data_time: 0.001, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 1.7491, loss: 1.7491 +2023-12-11 14:35:11,468 - pyskl - INFO - Epoch [77][600/1281] lr: 1.212e-02, eta: 10:34:54, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 1.7767, loss: 1.7767 +2023-12-11 14:35:54,652 - pyskl - INFO - Epoch [77][700/1281] lr: 1.210e-02, eta: 10:34:16, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 1.7783, loss: 1.7783 +2023-12-11 14:36:37,659 - pyskl - INFO - Epoch [77][800/1281] lr: 1.207e-02, eta: 10:33:38, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9988, loss_cls: 1.7892, loss: 1.7892 +2023-12-11 14:37:20,580 - pyskl - INFO - Epoch [77][900/1281] lr: 1.205e-02, eta: 10:33:00, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 1.7653, loss: 1.7653 +2023-12-11 14:38:03,372 - pyskl - INFO - Epoch [77][1000/1281] lr: 1.203e-02, eta: 10:32:22, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 1.7982, loss: 1.7982 +2023-12-11 14:38:46,287 - pyskl - INFO - Epoch [77][1100/1281] lr: 1.201e-02, eta: 10:31:44, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9969, loss_cls: 1.8224, loss: 1.8224 +2023-12-11 14:39:28,861 - pyskl - INFO - Epoch [77][1200/1281] lr: 1.199e-02, eta: 10:31:05, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 1.7789, loss: 1.7789 +2023-12-11 14:40:04,221 - pyskl - INFO - Saving checkpoint at 77 epochs +2023-12-11 14:41:22,491 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 14:41:22,571 - pyskl - INFO - +top1_acc 0.8576 +top5_acc 0.9914 +2023-12-11 14:41:22,572 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 14:41:22,581 - pyskl - INFO - +mean_acc 0.8038 +2023-12-11 14:41:22,583 - pyskl - INFO - Epoch(val) [77][533] top1_acc: 0.8576, top5_acc: 0.9914, mean_class_accuracy: 0.8038 +2023-12-11 14:42:31,034 - pyskl - INFO - Epoch [78][100/1281] lr: 1.196e-02, eta: 10:29:47, time: 0.684, data_time: 0.243, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 1.8020, loss: 1.8020 +2023-12-11 14:43:06,526 - pyskl - INFO - Epoch [78][200/1281] lr: 1.194e-02, eta: 10:29:02, time: 0.355, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 1.7779, loss: 1.7779 +2023-12-11 14:43:42,465 - pyskl - INFO - Epoch [78][300/1281] lr: 1.192e-02, eta: 10:28:18, time: 0.359, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 1.7340, loss: 1.7340 +2023-12-11 14:44:20,355 - pyskl - INFO - Epoch [78][400/1281] lr: 1.190e-02, eta: 10:27:35, time: 0.379, data_time: 0.000, memory: 4120, top1_acc: 0.9319, top5_acc: 1.0000, loss_cls: 1.7823, loss: 1.7823 +2023-12-11 14:44:46,854 - pyskl - INFO - Epoch [78][500/1281] lr: 1.187e-02, eta: 10:26:41, time: 0.265, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 1.8044, loss: 1.8044 +2023-12-11 14:45:29,874 - pyskl - INFO - Epoch [78][600/1281] lr: 1.185e-02, eta: 10:26:03, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 1.8193, loss: 1.8193 +2023-12-11 14:46:12,071 - pyskl - INFO - Epoch [78][700/1281] lr: 1.183e-02, eta: 10:25:24, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 1.0000, loss_cls: 1.8235, loss: 1.8235 +2023-12-11 14:46:55,140 - pyskl - INFO - Epoch [78][800/1281] lr: 1.181e-02, eta: 10:24:47, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9969, loss_cls: 1.8110, loss: 1.8110 +2023-12-11 14:47:38,381 - pyskl - INFO - Epoch [78][900/1281] lr: 1.179e-02, eta: 10:24:09, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9994, loss_cls: 1.8068, loss: 1.8068 +2023-12-11 14:48:21,132 - pyskl - INFO - Epoch [78][1000/1281] lr: 1.177e-02, eta: 10:23:30, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9981, loss_cls: 1.8717, loss: 1.8717 +2023-12-11 14:49:03,820 - pyskl - INFO - Epoch [78][1100/1281] lr: 1.175e-02, eta: 10:22:52, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 1.7573, loss: 1.7573 +2023-12-11 14:49:46,933 - pyskl - INFO - Epoch [78][1200/1281] lr: 1.173e-02, eta: 10:22:14, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 1.0000, loss_cls: 1.8080, loss: 1.8080 +2023-12-11 14:50:22,972 - pyskl - INFO - Saving checkpoint at 78 epochs +2023-12-11 14:51:42,548 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 14:51:42,625 - pyskl - INFO - +top1_acc 0.8707 +top5_acc 0.9923 +2023-12-11 14:51:42,626 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 14:51:42,634 - pyskl - INFO - +mean_acc 0.8347 +2023-12-11 14:51:42,637 - pyskl - INFO - Epoch(val) [78][533] top1_acc: 0.8707, top5_acc: 0.9923, mean_class_accuracy: 0.8347 +2023-12-11 14:52:49,667 - pyskl - INFO - Epoch [79][100/1281] lr: 1.169e-02, eta: 10:20:55, time: 0.670, data_time: 0.229, memory: 4120, top1_acc: 0.9381, top5_acc: 1.0000, loss_cls: 1.7191, loss: 1.7191 +2023-12-11 14:53:23,520 - pyskl - INFO - Epoch [79][200/1281] lr: 1.167e-02, eta: 10:20:09, time: 0.339, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 1.7340, loss: 1.7340 +2023-12-11 14:53:58,800 - pyskl - INFO - Epoch [79][300/1281] lr: 1.165e-02, eta: 10:19:24, time: 0.353, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 1.7919, loss: 1.7919 +2023-12-11 14:54:35,887 - pyskl - INFO - Epoch [79][400/1281] lr: 1.163e-02, eta: 10:18:40, time: 0.371, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9994, loss_cls: 1.8364, loss: 1.8364 +2023-12-11 14:55:03,542 - pyskl - INFO - Epoch [79][500/1281] lr: 1.161e-02, eta: 10:17:48, time: 0.277, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 1.7659, loss: 1.7659 +2023-12-11 14:55:46,641 - pyskl - INFO - Epoch [79][600/1281] lr: 1.159e-02, eta: 10:17:10, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 1.7408, loss: 1.7408 +2023-12-11 14:56:29,443 - pyskl - INFO - Epoch [79][700/1281] lr: 1.157e-02, eta: 10:16:32, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 1.7538, loss: 1.7538 +2023-12-11 14:57:12,202 - pyskl - INFO - Epoch [79][800/1281] lr: 1.155e-02, eta: 10:15:53, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 1.7163, loss: 1.7163 +2023-12-11 14:57:55,082 - pyskl - INFO - Epoch [79][900/1281] lr: 1.153e-02, eta: 10:15:15, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9981, loss_cls: 1.7803, loss: 1.7803 +2023-12-11 14:58:37,802 - pyskl - INFO - Epoch [79][1000/1281] lr: 1.151e-02, eta: 10:14:37, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 1.7894, loss: 1.7894 +2023-12-11 14:59:20,765 - pyskl - INFO - Epoch [79][1100/1281] lr: 1.149e-02, eta: 10:13:59, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9981, loss_cls: 1.7510, loss: 1.7510 +2023-12-11 15:00:04,137 - pyskl - INFO - Epoch [79][1200/1281] lr: 1.147e-02, eta: 10:13:21, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 1.7460, loss: 1.7460 +2023-12-11 15:00:39,976 - pyskl - INFO - Saving checkpoint at 79 epochs +2023-12-11 15:01:59,548 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 15:01:59,620 - pyskl - INFO - +top1_acc 0.8825 +top5_acc 0.9942 +2023-12-11 15:01:59,620 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 15:01:59,631 - pyskl - INFO - +mean_acc 0.8397 +2023-12-11 15:01:59,638 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_72.pth was removed +2023-12-11 15:01:59,917 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2023-12-11 15:01:59,918 - pyskl - INFO - Best top1_acc is 0.8825 at 79 epoch. +2023-12-11 15:01:59,921 - pyskl - INFO - Epoch(val) [79][533] top1_acc: 0.8825, top5_acc: 0.9942, mean_class_accuracy: 0.8397 +2023-12-11 15:03:05,384 - pyskl - INFO - Epoch [80][100/1281] lr: 1.143e-02, eta: 10:12:01, time: 0.655, data_time: 0.222, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 1.7142, loss: 1.7142 +2023-12-11 15:03:37,379 - pyskl - INFO - Epoch [80][200/1281] lr: 1.141e-02, eta: 10:11:13, time: 0.320, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 1.0000, loss_cls: 1.8020, loss: 1.8020 +2023-12-11 15:04:11,972 - pyskl - INFO - Epoch [80][300/1281] lr: 1.139e-02, eta: 10:10:27, time: 0.346, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 1.6871, loss: 1.6871 +2023-12-11 15:04:49,923 - pyskl - INFO - Epoch [80][400/1281] lr: 1.137e-02, eta: 10:09:45, time: 0.380, data_time: 0.001, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9962, loss_cls: 1.7493, loss: 1.7493 +2023-12-11 15:05:16,178 - pyskl - INFO - Epoch [80][500/1281] lr: 1.135e-02, eta: 10:08:52, time: 0.263, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9994, loss_cls: 1.7367, loss: 1.7367 +2023-12-11 15:05:59,108 - pyskl - INFO - Epoch [80][600/1281] lr: 1.133e-02, eta: 10:08:14, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 1.7688, loss: 1.7688 +2023-12-11 15:06:41,687 - pyskl - INFO - Epoch [80][700/1281] lr: 1.131e-02, eta: 10:07:35, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9994, loss_cls: 1.7702, loss: 1.7702 +2023-12-11 15:07:24,612 - pyskl - INFO - Epoch [80][800/1281] lr: 1.129e-02, eta: 10:06:57, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 1.7081, loss: 1.7081 +2023-12-11 15:08:07,837 - pyskl - INFO - Epoch [80][900/1281] lr: 1.127e-02, eta: 10:06:19, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 1.7481, loss: 1.7481 +2023-12-11 15:08:51,351 - pyskl - INFO - Epoch [80][1000/1281] lr: 1.125e-02, eta: 10:05:41, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 1.0000, loss_cls: 1.7700, loss: 1.7700 +2023-12-11 15:09:34,451 - pyskl - INFO - Epoch [80][1100/1281] lr: 1.123e-02, eta: 10:05:03, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9975, loss_cls: 1.7486, loss: 1.7486 +2023-12-11 15:10:18,259 - pyskl - INFO - Epoch [80][1200/1281] lr: 1.121e-02, eta: 10:04:26, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 1.7636, loss: 1.7636 +2023-12-11 15:10:55,179 - pyskl - INFO - Saving checkpoint at 80 epochs +2023-12-11 15:12:12,856 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 15:12:12,914 - pyskl - INFO - +top1_acc 0.8533 +top5_acc 0.9892 +2023-12-11 15:12:12,914 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 15:12:12,923 - pyskl - INFO - +mean_acc 0.8135 +2023-12-11 15:12:12,925 - pyskl - INFO - Epoch(val) [80][533] top1_acc: 0.8533, top5_acc: 0.9892, mean_class_accuracy: 0.8135 +2023-12-11 15:13:14,914 - pyskl - INFO - Epoch [81][100/1281] lr: 1.117e-02, eta: 10:03:03, time: 0.620, data_time: 0.191, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9969, loss_cls: 1.7340, loss: 1.7340 +2023-12-11 15:13:51,313 - pyskl - INFO - Epoch [81][200/1281] lr: 1.115e-02, eta: 10:02:19, time: 0.364, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 1.6619, loss: 1.6619 +2023-12-11 15:14:20,731 - pyskl - INFO - Epoch [81][300/1281] lr: 1.113e-02, eta: 10:01:29, time: 0.294, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 1.7065, loss: 1.7065 +2023-12-11 15:15:03,568 - pyskl - INFO - Epoch [81][400/1281] lr: 1.111e-02, eta: 10:00:51, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9994, loss_cls: 1.7365, loss: 1.7365 +2023-12-11 15:15:28,616 - pyskl - INFO - Epoch [81][500/1281] lr: 1.109e-02, eta: 9:59:57, time: 0.250, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 1.0000, loss_cls: 1.7197, loss: 1.7197 +2023-12-11 15:16:11,451 - pyskl - INFO - Epoch [81][600/1281] lr: 1.107e-02, eta: 9:59:19, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9994, loss_cls: 1.7663, loss: 1.7663 +2023-12-11 15:16:54,554 - pyskl - INFO - Epoch [81][700/1281] lr: 1.105e-02, eta: 9:58:41, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 1.7142, loss: 1.7142 +2023-12-11 15:17:37,738 - pyskl - INFO - Epoch [81][800/1281] lr: 1.103e-02, eta: 9:58:03, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 1.7866, loss: 1.7866 +2023-12-11 15:18:21,074 - pyskl - INFO - Epoch [81][900/1281] lr: 1.101e-02, eta: 9:57:25, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 1.7098, loss: 1.7098 +2023-12-11 15:19:04,532 - pyskl - INFO - Epoch [81][1000/1281] lr: 1.099e-02, eta: 9:56:48, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9988, loss_cls: 1.8004, loss: 1.8004 +2023-12-11 15:19:48,205 - pyskl - INFO - Epoch [81][1100/1281] lr: 1.097e-02, eta: 9:56:10, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9981, loss_cls: 1.7846, loss: 1.7846 +2023-12-11 15:20:31,144 - pyskl - INFO - Epoch [81][1200/1281] lr: 1.095e-02, eta: 9:55:32, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 1.7367, loss: 1.7367 +2023-12-11 15:21:06,804 - pyskl - INFO - Saving checkpoint at 81 epochs +2023-12-11 15:22:21,212 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 15:22:21,273 - pyskl - INFO - +top1_acc 0.8616 +top5_acc 0.9881 +2023-12-11 15:22:21,273 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 15:22:21,281 - pyskl - INFO - +mean_acc 0.8148 +2023-12-11 15:22:21,284 - pyskl - INFO - Epoch(val) [81][533] top1_acc: 0.8616, top5_acc: 0.9881, mean_class_accuracy: 0.8148 +2023-12-11 15:23:24,481 - pyskl - INFO - Epoch [82][100/1281] lr: 1.091e-02, eta: 9:54:10, time: 0.632, data_time: 0.200, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 1.6969, loss: 1.6969 +2023-12-11 15:24:04,737 - pyskl - INFO - Epoch [82][200/1281] lr: 1.089e-02, eta: 9:53:30, time: 0.403, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 1.7008, loss: 1.7008 +2023-12-11 15:24:32,172 - pyskl - INFO - Epoch [82][300/1281] lr: 1.087e-02, eta: 9:52:38, time: 0.274, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9994, loss_cls: 1.7461, loss: 1.7461 +2023-12-11 15:25:17,287 - pyskl - INFO - Epoch [82][400/1281] lr: 1.085e-02, eta: 9:52:02, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9975, loss_cls: 1.6990, loss: 1.6990 +2023-12-11 15:25:40,628 - pyskl - INFO - Epoch [82][500/1281] lr: 1.083e-02, eta: 9:51:07, time: 0.233, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 1.6623, loss: 1.6623 +2023-12-11 15:26:23,302 - pyskl - INFO - Epoch [82][600/1281] lr: 1.081e-02, eta: 9:50:29, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9962, loss_cls: 1.7547, loss: 1.7547 +2023-12-11 15:27:06,681 - pyskl - INFO - Epoch [82][700/1281] lr: 1.079e-02, eta: 9:49:51, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 1.7281, loss: 1.7281 +2023-12-11 15:27:50,184 - pyskl - INFO - Epoch [82][800/1281] lr: 1.077e-02, eta: 9:49:13, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 1.7083, loss: 1.7083 +2023-12-11 15:28:33,558 - pyskl - INFO - Epoch [82][900/1281] lr: 1.075e-02, eta: 9:48:36, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9975, loss_cls: 1.7772, loss: 1.7772 +2023-12-11 15:29:16,325 - pyskl - INFO - Epoch [82][1000/1281] lr: 1.073e-02, eta: 9:47:57, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 1.7233, loss: 1.7233 +2023-12-11 15:29:59,634 - pyskl - INFO - Epoch [82][1100/1281] lr: 1.071e-02, eta: 9:47:19, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9975, loss_cls: 1.7686, loss: 1.7686 +2023-12-11 15:30:42,690 - pyskl - INFO - Epoch [82][1200/1281] lr: 1.069e-02, eta: 9:46:41, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9975, loss_cls: 1.7706, loss: 1.7706 +2023-12-11 15:31:18,537 - pyskl - INFO - Saving checkpoint at 82 epochs +2023-12-11 15:32:34,329 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 15:32:34,385 - pyskl - INFO - +top1_acc 0.8586 +top5_acc 0.9889 +2023-12-11 15:32:34,385 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 15:32:34,392 - pyskl - INFO - +mean_acc 0.8138 +2023-12-11 15:32:34,394 - pyskl - INFO - Epoch(val) [82][533] top1_acc: 0.8586, top5_acc: 0.9889, mean_class_accuracy: 0.8138 +2023-12-11 15:33:36,303 - pyskl - INFO - Epoch [83][100/1281] lr: 1.065e-02, eta: 9:45:19, time: 0.619, data_time: 0.194, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 1.7554, loss: 1.7554 +2023-12-11 15:34:19,247 - pyskl - INFO - Epoch [83][200/1281] lr: 1.063e-02, eta: 9:44:41, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9994, loss_cls: 1.6880, loss: 1.6880 +2023-12-11 15:34:43,982 - pyskl - INFO - Epoch [83][300/1281] lr: 1.061e-02, eta: 9:43:47, time: 0.247, data_time: 0.001, memory: 4120, top1_acc: 0.9319, top5_acc: 0.9994, loss_cls: 1.7034, loss: 1.7034 +2023-12-11 15:35:28,362 - pyskl - INFO - Epoch [83][400/1281] lr: 1.059e-02, eta: 9:43:10, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 1.6994, loss: 1.6994 +2023-12-11 15:35:58,190 - pyskl - INFO - Epoch [83][500/1281] lr: 1.057e-02, eta: 9:42:21, time: 0.298, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 1.7090, loss: 1.7090 +2023-12-11 15:36:33,952 - pyskl - INFO - Epoch [83][600/1281] lr: 1.055e-02, eta: 9:41:37, time: 0.358, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 1.7153, loss: 1.7153 +2023-12-11 15:37:17,237 - pyskl - INFO - Epoch [83][700/1281] lr: 1.053e-02, eta: 9:40:59, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 1.7053, loss: 1.7053 +2023-12-11 15:38:00,083 - pyskl - INFO - Epoch [83][800/1281] lr: 1.051e-02, eta: 9:40:21, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 1.7098, loss: 1.7098 +2023-12-11 15:38:42,653 - pyskl - INFO - Epoch [83][900/1281] lr: 1.049e-02, eta: 9:39:42, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 1.7018, loss: 1.7018 +2023-12-11 15:39:25,469 - pyskl - INFO - Epoch [83][1000/1281] lr: 1.047e-02, eta: 9:39:04, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 1.6448, loss: 1.6448 +2023-12-11 15:40:08,464 - pyskl - INFO - Epoch [83][1100/1281] lr: 1.045e-02, eta: 9:38:26, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9981, loss_cls: 1.6801, loss: 1.6801 +2023-12-11 15:40:51,727 - pyskl - INFO - Epoch [83][1200/1281] lr: 1.043e-02, eta: 9:37:48, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 1.7453, loss: 1.7453 +2023-12-11 15:41:27,353 - pyskl - INFO - Saving checkpoint at 83 epochs +2023-12-11 15:42:41,895 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 15:42:41,956 - pyskl - INFO - +top1_acc 0.8541 +top5_acc 0.9917 +2023-12-11 15:42:41,957 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 15:42:41,966 - pyskl - INFO - +mean_acc 0.8058 +2023-12-11 15:42:41,969 - pyskl - INFO - Epoch(val) [83][533] top1_acc: 0.8541, top5_acc: 0.9917, mean_class_accuracy: 0.8058 +2023-12-11 15:43:48,136 - pyskl - INFO - Epoch [84][100/1281] lr: 1.040e-02, eta: 9:36:29, time: 0.662, data_time: 0.230, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 1.6563, loss: 1.6563 +2023-12-11 15:44:31,014 - pyskl - INFO - Epoch [84][200/1281] lr: 1.038e-02, eta: 9:35:51, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 1.6372, loss: 1.6372 +2023-12-11 15:45:01,174 - pyskl - INFO - Epoch [84][300/1281] lr: 1.036e-02, eta: 9:35:02, time: 0.302, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 1.6098, loss: 1.6098 +2023-12-11 15:45:39,608 - pyskl - INFO - Epoch [84][400/1281] lr: 1.034e-02, eta: 9:34:21, time: 0.384, data_time: 0.001, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 1.6840, loss: 1.6840 +2023-12-11 15:46:14,599 - pyskl - INFO - Epoch [84][500/1281] lr: 1.031e-02, eta: 9:33:36, time: 0.350, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 1.6735, loss: 1.6735 +2023-12-11 15:46:46,102 - pyskl - INFO - Epoch [84][600/1281] lr: 1.029e-02, eta: 9:32:49, time: 0.315, data_time: 0.001, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 1.6645, loss: 1.6645 +2023-12-11 15:47:28,904 - pyskl - INFO - Epoch [84][700/1281] lr: 1.027e-02, eta: 9:32:10, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 1.0000, loss_cls: 1.6811, loss: 1.6811 +2023-12-11 15:48:11,635 - pyskl - INFO - Epoch [84][800/1281] lr: 1.025e-02, eta: 9:31:32, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 1.6892, loss: 1.6892 +2023-12-11 15:48:54,191 - pyskl - INFO - Epoch [84][900/1281] lr: 1.023e-02, eta: 9:30:53, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9988, loss_cls: 1.7503, loss: 1.7503 +2023-12-11 15:49:37,036 - pyskl - INFO - Epoch [84][1000/1281] lr: 1.021e-02, eta: 9:30:15, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 1.6510, loss: 1.6510 +2023-12-11 15:50:19,653 - pyskl - INFO - Epoch [84][1100/1281] lr: 1.019e-02, eta: 9:29:36, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9981, loss_cls: 1.7378, loss: 1.7378 +2023-12-11 15:51:02,413 - pyskl - INFO - Epoch [84][1200/1281] lr: 1.017e-02, eta: 9:28:58, time: 0.428, data_time: 0.002, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9994, loss_cls: 1.6803, loss: 1.6803 +2023-12-11 15:51:38,579 - pyskl - INFO - Saving checkpoint at 84 epochs +2023-12-11 15:52:58,735 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 15:52:58,803 - pyskl - INFO - +top1_acc 0.8695 +top5_acc 0.9912 +2023-12-11 15:52:58,804 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 15:52:58,814 - pyskl - INFO - +mean_acc 0.8257 +2023-12-11 15:52:58,818 - pyskl - INFO - Epoch(val) [84][533] top1_acc: 0.8695, top5_acc: 0.9912, mean_class_accuracy: 0.8257 +2023-12-11 15:54:06,688 - pyskl - INFO - Epoch [85][100/1281] lr: 1.014e-02, eta: 9:27:41, time: 0.679, data_time: 0.234, memory: 4120, top1_acc: 0.9406, top5_acc: 1.0000, loss_cls: 1.6571, loss: 1.6571 +2023-12-11 15:54:50,350 - pyskl - INFO - Epoch [85][200/1281] lr: 1.012e-02, eta: 9:27:03, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 1.6726, loss: 1.6726 +2023-12-11 15:55:20,158 - pyskl - INFO - Epoch [85][300/1281] lr: 1.010e-02, eta: 9:26:15, time: 0.298, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 1.6700, loss: 1.6700 +2023-12-11 15:55:58,522 - pyskl - INFO - Epoch [85][400/1281] lr: 1.008e-02, eta: 9:25:33, time: 0.384, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 1.6543, loss: 1.6543 +2023-12-11 15:56:32,445 - pyskl - INFO - Epoch [85][500/1281] lr: 1.006e-02, eta: 9:24:47, time: 0.339, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 1.7075, loss: 1.7075 +2023-12-11 15:57:02,611 - pyskl - INFO - Epoch [85][600/1281] lr: 1.004e-02, eta: 9:23:59, time: 0.302, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 1.6710, loss: 1.6710 +2023-12-11 15:57:45,435 - pyskl - INFO - Epoch [85][700/1281] lr: 1.002e-02, eta: 9:23:21, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 1.7303, loss: 1.7303 +2023-12-11 15:58:28,147 - pyskl - INFO - Epoch [85][800/1281] lr: 9.998e-03, eta: 9:22:42, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 1.7095, loss: 1.7095 +2023-12-11 15:59:11,176 - pyskl - INFO - Epoch [85][900/1281] lr: 9.978e-03, eta: 9:22:04, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 1.7034, loss: 1.7034 +2023-12-11 15:59:53,800 - pyskl - INFO - Epoch [85][1000/1281] lr: 9.958e-03, eta: 9:21:26, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9994, loss_cls: 1.7104, loss: 1.7104 +2023-12-11 16:00:36,431 - pyskl - INFO - Epoch [85][1100/1281] lr: 9.937e-03, eta: 9:20:47, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9319, top5_acc: 1.0000, loss_cls: 1.7525, loss: 1.7525 +2023-12-11 16:01:19,282 - pyskl - INFO - Epoch [85][1200/1281] lr: 9.917e-03, eta: 9:20:09, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 1.7444, loss: 1.7444 +2023-12-11 16:01:55,978 - pyskl - INFO - Saving checkpoint at 85 epochs +2023-12-11 16:03:14,986 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 16:03:15,054 - pyskl - INFO - +top1_acc 0.8844 +top5_acc 0.9923 +2023-12-11 16:03:15,054 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 16:03:15,070 - pyskl - INFO - +mean_acc 0.8463 +2023-12-11 16:03:15,076 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_79.pth was removed +2023-12-11 16:03:15,321 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_85.pth. +2023-12-11 16:03:15,321 - pyskl - INFO - Best top1_acc is 0.8844 at 85 epoch. +2023-12-11 16:03:15,325 - pyskl - INFO - Epoch(val) [85][533] top1_acc: 0.8844, top5_acc: 0.9923, mean_class_accuracy: 0.8463 +2023-12-11 16:04:22,019 - pyskl - INFO - Epoch [86][100/1281] lr: 9.881e-03, eta: 9:18:51, time: 0.667, data_time: 0.239, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 1.6702, loss: 1.6702 +2023-12-11 16:05:04,514 - pyskl - INFO - Epoch [86][200/1281] lr: 9.861e-03, eta: 9:18:12, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9994, loss_cls: 1.6972, loss: 1.6972 +2023-12-11 16:05:37,223 - pyskl - INFO - Epoch [86][300/1281] lr: 9.841e-03, eta: 9:17:26, time: 0.327, data_time: 0.001, memory: 4120, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 1.6625, loss: 1.6625 +2023-12-11 16:06:11,167 - pyskl - INFO - Epoch [86][400/1281] lr: 9.821e-03, eta: 9:16:41, time: 0.339, data_time: 0.001, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 1.7605, loss: 1.7605 +2023-12-11 16:06:50,063 - pyskl - INFO - Epoch [86][500/1281] lr: 9.801e-03, eta: 9:16:00, time: 0.389, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 1.6912, loss: 1.6912 +2023-12-11 16:07:15,804 - pyskl - INFO - Epoch [86][600/1281] lr: 9.781e-03, eta: 9:15:08, time: 0.257, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 1.6653, loss: 1.6653 +2023-12-11 16:07:58,254 - pyskl - INFO - Epoch [86][700/1281] lr: 9.762e-03, eta: 9:14:30, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 1.6463, loss: 1.6463 +2023-12-11 16:08:40,905 - pyskl - INFO - Epoch [86][800/1281] lr: 9.742e-03, eta: 9:13:51, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9306, top5_acc: 1.0000, loss_cls: 1.6859, loss: 1.6859 +2023-12-11 16:09:24,588 - pyskl - INFO - Epoch [86][900/1281] lr: 9.722e-03, eta: 9:13:13, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.6494, loss: 1.6494 +2023-12-11 16:10:07,769 - pyskl - INFO - Epoch [86][1000/1281] lr: 9.702e-03, eta: 9:12:35, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 1.6573, loss: 1.6573 +2023-12-11 16:10:50,964 - pyskl - INFO - Epoch [86][1100/1281] lr: 9.682e-03, eta: 9:11:57, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 1.6668, loss: 1.6668 +2023-12-11 16:11:34,592 - pyskl - INFO - Epoch [86][1200/1281] lr: 9.662e-03, eta: 9:11:19, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 1.6618, loss: 1.6618 +2023-12-11 16:12:10,506 - pyskl - INFO - Saving checkpoint at 86 epochs +2023-12-11 16:13:26,562 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 16:13:26,639 - pyskl - INFO - +top1_acc 0.8796 +top5_acc 0.9925 +2023-12-11 16:13:26,640 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 16:13:26,650 - pyskl - INFO - +mean_acc 0.8426 +2023-12-11 16:13:26,654 - pyskl - INFO - Epoch(val) [86][533] top1_acc: 0.8796, top5_acc: 0.9925, mean_class_accuracy: 0.8426 +2023-12-11 16:14:27,550 - pyskl - INFO - Epoch [87][100/1281] lr: 9.626e-03, eta: 9:09:57, time: 0.609, data_time: 0.183, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.5683, loss: 1.5683 +2023-12-11 16:15:10,313 - pyskl - INFO - Epoch [87][200/1281] lr: 9.606e-03, eta: 9:09:19, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.5628, loss: 1.5628 +2023-12-11 16:15:50,534 - pyskl - INFO - Epoch [87][300/1281] lr: 9.586e-03, eta: 9:08:38, time: 0.402, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 1.6296, loss: 1.6296 +2023-12-11 16:16:16,082 - pyskl - INFO - Epoch [87][400/1281] lr: 9.566e-03, eta: 9:07:47, time: 0.255, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.5787, loss: 1.5787 +2023-12-11 16:17:00,496 - pyskl - INFO - Epoch [87][500/1281] lr: 9.546e-03, eta: 9:07:10, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 1.0000, loss_cls: 1.6312, loss: 1.6312 +2023-12-11 16:17:24,579 - pyskl - INFO - Epoch [87][600/1281] lr: 9.527e-03, eta: 9:06:18, time: 0.241, data_time: 0.002, memory: 4120, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 1.6317, loss: 1.6317 +2023-12-11 16:18:05,079 - pyskl - INFO - Epoch [87][700/1281] lr: 9.507e-03, eta: 9:05:38, time: 0.405, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 1.6761, loss: 1.6761 +2023-12-11 16:18:48,265 - pyskl - INFO - Epoch [87][800/1281] lr: 9.487e-03, eta: 9:05:00, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.6778, loss: 1.6778 +2023-12-11 16:19:31,712 - pyskl - INFO - Epoch [87][900/1281] lr: 9.467e-03, eta: 9:04:22, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 1.7144, loss: 1.7144 +2023-12-11 16:20:15,025 - pyskl - INFO - Epoch [87][1000/1281] lr: 9.447e-03, eta: 9:03:43, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 1.6672, loss: 1.6672 +2023-12-11 16:20:58,282 - pyskl - INFO - Epoch [87][1100/1281] lr: 9.427e-03, eta: 9:03:05, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 1.6816, loss: 1.6816 +2023-12-11 16:21:41,413 - pyskl - INFO - Epoch [87][1200/1281] lr: 9.408e-03, eta: 9:02:27, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 1.6897, loss: 1.6897 +2023-12-11 16:22:16,498 - pyskl - INFO - Saving checkpoint at 87 epochs +2023-12-11 16:23:30,070 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 16:23:30,126 - pyskl - INFO - +top1_acc 0.8679 +top5_acc 0.9927 +2023-12-11 16:23:30,126 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 16:23:30,135 - pyskl - INFO - +mean_acc 0.8394 +2023-12-11 16:23:30,138 - pyskl - INFO - Epoch(val) [87][533] top1_acc: 0.8679, top5_acc: 0.9927, mean_class_accuracy: 0.8394 +2023-12-11 16:24:32,877 - pyskl - INFO - Epoch [88][100/1281] lr: 9.372e-03, eta: 9:01:07, time: 0.627, data_time: 0.201, memory: 4120, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 1.6191, loss: 1.6191 +2023-12-11 16:25:15,580 - pyskl - INFO - Epoch [88][200/1281] lr: 9.352e-03, eta: 9:00:28, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 1.5931, loss: 1.5931 +2023-12-11 16:25:59,156 - pyskl - INFO - Epoch [88][300/1281] lr: 9.332e-03, eta: 8:59:50, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 1.6242, loss: 1.6242 +2023-12-11 16:26:24,720 - pyskl - INFO - Epoch [88][400/1281] lr: 9.312e-03, eta: 8:59:00, time: 0.256, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 1.6582, loss: 1.6582 +2023-12-11 16:27:07,767 - pyskl - INFO - Epoch [88][500/1281] lr: 9.293e-03, eta: 8:58:21, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 1.6434, loss: 1.6434 +2023-12-11 16:27:37,312 - pyskl - INFO - Epoch [88][600/1281] lr: 9.273e-03, eta: 8:57:33, time: 0.295, data_time: 0.001, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 1.5795, loss: 1.5795 +2023-12-11 16:28:12,253 - pyskl - INFO - Epoch [88][700/1281] lr: 9.253e-03, eta: 8:56:49, time: 0.349, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 1.6433, loss: 1.6433 +2023-12-11 16:28:56,178 - pyskl - INFO - Epoch [88][800/1281] lr: 9.233e-03, eta: 8:56:12, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 1.6426, loss: 1.6426 +2023-12-11 16:29:39,801 - pyskl - INFO - Epoch [88][900/1281] lr: 9.214e-03, eta: 8:55:34, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 1.6711, loss: 1.6711 +2023-12-11 16:30:23,032 - pyskl - INFO - Epoch [88][1000/1281] lr: 9.194e-03, eta: 8:54:56, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 1.6802, loss: 1.6802 +2023-12-11 16:31:06,511 - pyskl - INFO - Epoch [88][1100/1281] lr: 9.174e-03, eta: 8:54:18, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 1.5916, loss: 1.5916 +2023-12-11 16:31:49,287 - pyskl - INFO - Epoch [88][1200/1281] lr: 9.155e-03, eta: 8:53:39, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 1.6205, loss: 1.6205 +2023-12-11 16:32:24,614 - pyskl - INFO - Saving checkpoint at 88 epochs +2023-12-11 16:33:38,577 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 16:33:38,639 - pyskl - INFO - +top1_acc 0.8687 +top5_acc 0.9917 +2023-12-11 16:33:38,639 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 16:33:38,650 - pyskl - INFO - +mean_acc 0.8274 +2023-12-11 16:33:38,654 - pyskl - INFO - Epoch(val) [88][533] top1_acc: 0.8687, top5_acc: 0.9917, mean_class_accuracy: 0.8274 +2023-12-11 16:34:40,849 - pyskl - INFO - Epoch [89][100/1281] lr: 9.119e-03, eta: 8:52:19, time: 0.622, data_time: 0.195, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 1.5952, loss: 1.5952 +2023-12-11 16:35:23,721 - pyskl - INFO - Epoch [89][200/1281] lr: 9.099e-03, eta: 8:51:40, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 1.5707, loss: 1.5707 +2023-12-11 16:36:06,548 - pyskl - INFO - Epoch [89][300/1281] lr: 9.080e-03, eta: 8:51:02, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.5181, loss: 1.5181 +2023-12-11 16:36:40,724 - pyskl - INFO - Epoch [89][400/1281] lr: 9.060e-03, eta: 8:50:17, time: 0.342, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 1.5564, loss: 1.5564 +2023-12-11 16:37:13,417 - pyskl - INFO - Epoch [89][500/1281] lr: 9.040e-03, eta: 8:49:32, time: 0.327, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.5123, loss: 1.5123 +2023-12-11 16:37:54,612 - pyskl - INFO - Epoch [89][600/1281] lr: 9.021e-03, eta: 8:48:52, time: 0.412, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9994, loss_cls: 1.5972, loss: 1.5972 +2023-12-11 16:38:20,954 - pyskl - INFO - Epoch [89][700/1281] lr: 9.001e-03, eta: 8:48:02, time: 0.263, data_time: 0.001, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 1.5945, loss: 1.5945 +2023-12-11 16:39:05,425 - pyskl - INFO - Epoch [89][800/1281] lr: 8.982e-03, eta: 8:47:25, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9375, top5_acc: 1.0000, loss_cls: 1.6252, loss: 1.6252 +2023-12-11 16:39:48,539 - pyskl - INFO - Epoch [89][900/1281] lr: 8.962e-03, eta: 8:46:47, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9350, top5_acc: 1.0000, loss_cls: 1.6543, loss: 1.6543 +2023-12-11 16:40:32,127 - pyskl - INFO - Epoch [89][1000/1281] lr: 8.942e-03, eta: 8:46:09, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 1.6229, loss: 1.6229 +2023-12-11 16:41:14,864 - pyskl - INFO - Epoch [89][1100/1281] lr: 8.923e-03, eta: 8:45:30, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 1.5835, loss: 1.5835 +2023-12-11 16:41:58,011 - pyskl - INFO - Epoch [89][1200/1281] lr: 8.903e-03, eta: 8:44:52, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 1.6279, loss: 1.6279 +2023-12-11 16:42:33,352 - pyskl - INFO - Saving checkpoint at 89 epochs +2023-12-11 16:43:48,393 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 16:43:48,465 - pyskl - INFO - +top1_acc 0.8727 +top5_acc 0.9921 +2023-12-11 16:43:48,465 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 16:43:48,476 - pyskl - INFO - +mean_acc 0.8154 +2023-12-11 16:43:48,479 - pyskl - INFO - Epoch(val) [89][533] top1_acc: 0.8727, top5_acc: 0.9921, mean_class_accuracy: 0.8154 +2023-12-11 16:44:50,210 - pyskl - INFO - Epoch [90][100/1281] lr: 8.868e-03, eta: 8:43:31, time: 0.617, data_time: 0.192, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 1.6170, loss: 1.6170 +2023-12-11 16:45:33,224 - pyskl - INFO - Epoch [90][200/1281] lr: 8.848e-03, eta: 8:42:53, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 1.5704, loss: 1.5704 +2023-12-11 16:46:15,850 - pyskl - INFO - Epoch [90][300/1281] lr: 8.829e-03, eta: 8:42:14, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 1.5970, loss: 1.5970 +2023-12-11 16:46:58,502 - pyskl - INFO - Epoch [90][400/1281] lr: 8.809e-03, eta: 8:41:36, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 1.5584, loss: 1.5584 +2023-12-11 16:47:24,436 - pyskl - INFO - Epoch [90][500/1281] lr: 8.790e-03, eta: 8:40:46, time: 0.259, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 1.5983, loss: 1.5983 +2023-12-11 16:48:09,876 - pyskl - INFO - Epoch [90][600/1281] lr: 8.770e-03, eta: 8:40:09, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.5751, loss: 1.5751 +2023-12-11 16:48:36,472 - pyskl - INFO - Epoch [90][700/1281] lr: 8.751e-03, eta: 8:39:19, time: 0.266, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 1.6232, loss: 1.6232 +2023-12-11 16:49:18,132 - pyskl - INFO - Epoch [90][800/1281] lr: 8.731e-03, eta: 8:38:40, time: 0.417, data_time: 0.001, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 1.6475, loss: 1.6475 +2023-12-11 16:50:00,788 - pyskl - INFO - Epoch [90][900/1281] lr: 8.712e-03, eta: 8:38:02, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 1.6185, loss: 1.6185 +2023-12-11 16:50:43,809 - pyskl - INFO - Epoch [90][1000/1281] lr: 8.692e-03, eta: 8:37:23, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 1.5929, loss: 1.5929 +2023-12-11 16:51:27,183 - pyskl - INFO - Epoch [90][1100/1281] lr: 8.673e-03, eta: 8:36:45, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 1.6309, loss: 1.6309 +2023-12-11 16:52:10,114 - pyskl - INFO - Epoch [90][1200/1281] lr: 8.653e-03, eta: 8:36:07, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9369, top5_acc: 1.0000, loss_cls: 1.6500, loss: 1.6500 +2023-12-11 16:52:45,423 - pyskl - INFO - Saving checkpoint at 90 epochs +2023-12-11 16:53:59,215 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 16:53:59,296 - pyskl - INFO - +top1_acc 0.8620 +top5_acc 0.9917 +2023-12-11 16:53:59,296 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 16:53:59,312 - pyskl - INFO - +mean_acc 0.8356 +2023-12-11 16:53:59,316 - pyskl - INFO - Epoch(val) [90][533] top1_acc: 0.8620, top5_acc: 0.9917, mean_class_accuracy: 0.8356 +2023-12-11 16:55:01,985 - pyskl - INFO - Epoch [91][100/1281] lr: 8.618e-03, eta: 8:34:47, time: 0.627, data_time: 0.197, memory: 4120, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 1.5887, loss: 1.5887 +2023-12-11 16:55:45,478 - pyskl - INFO - Epoch [91][200/1281] lr: 8.599e-03, eta: 8:34:09, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 1.5676, loss: 1.5676 +2023-12-11 16:56:28,886 - pyskl - INFO - Epoch [91][300/1281] lr: 8.579e-03, eta: 8:33:31, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.5265, loss: 1.5265 +2023-12-11 16:57:12,659 - pyskl - INFO - Epoch [91][400/1281] lr: 8.560e-03, eta: 8:32:53, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 1.5934, loss: 1.5934 +2023-12-11 16:57:39,493 - pyskl - INFO - Epoch [91][500/1281] lr: 8.540e-03, eta: 8:32:04, time: 0.268, data_time: 0.001, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 1.5490, loss: 1.5490 +2023-12-11 16:58:24,844 - pyskl - INFO - Epoch [91][600/1281] lr: 8.521e-03, eta: 8:31:27, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 1.6033, loss: 1.6033 +2023-12-11 16:58:52,075 - pyskl - INFO - Epoch [91][700/1281] lr: 8.502e-03, eta: 8:30:38, time: 0.272, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 1.5703, loss: 1.5703 +2023-12-11 16:59:28,968 - pyskl - INFO - Epoch [91][800/1281] lr: 8.482e-03, eta: 8:29:56, time: 0.369, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 1.5367, loss: 1.5367 +2023-12-11 17:00:12,299 - pyskl - INFO - Epoch [91][900/1281] lr: 8.463e-03, eta: 8:29:17, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 1.5605, loss: 1.5605 +2023-12-11 17:00:55,704 - pyskl - INFO - Epoch [91][1000/1281] lr: 8.444e-03, eta: 8:28:39, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 1.5494, loss: 1.5494 +2023-12-11 17:01:38,928 - pyskl - INFO - Epoch [91][1100/1281] lr: 8.424e-03, eta: 8:28:01, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 1.5848, loss: 1.5848 +2023-12-11 17:02:21,519 - pyskl - INFO - Epoch [91][1200/1281] lr: 8.405e-03, eta: 8:27:22, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 1.5726, loss: 1.5726 +2023-12-11 17:02:56,704 - pyskl - INFO - Saving checkpoint at 91 epochs +2023-12-11 17:04:12,531 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 17:04:12,594 - pyskl - INFO - +top1_acc 0.8710 +top5_acc 0.9927 +2023-12-11 17:04:12,594 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 17:04:12,602 - pyskl - INFO - +mean_acc 0.8243 +2023-12-11 17:04:12,604 - pyskl - INFO - Epoch(val) [91][533] top1_acc: 0.8710, top5_acc: 0.9927, mean_class_accuracy: 0.8243 +2023-12-11 17:05:19,904 - pyskl - INFO - Epoch [92][100/1281] lr: 8.370e-03, eta: 8:26:06, time: 0.673, data_time: 0.240, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 1.5967, loss: 1.5967 +2023-12-11 17:06:03,252 - pyskl - INFO - Epoch [92][200/1281] lr: 8.351e-03, eta: 8:25:28, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 1.5799, loss: 1.5799 +2023-12-11 17:06:47,121 - pyskl - INFO - Epoch [92][300/1281] lr: 8.332e-03, eta: 8:24:50, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 1.5240, loss: 1.5240 +2023-12-11 17:07:30,496 - pyskl - INFO - Epoch [92][400/1281] lr: 8.312e-03, eta: 8:24:12, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 1.5624, loss: 1.5624 +2023-12-11 17:07:56,706 - pyskl - INFO - Epoch [92][500/1281] lr: 8.293e-03, eta: 8:23:22, time: 0.262, data_time: 0.001, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 1.5744, loss: 1.5744 +2023-12-11 17:08:37,633 - pyskl - INFO - Epoch [92][600/1281] lr: 8.274e-03, eta: 8:22:43, time: 0.409, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 1.5863, loss: 1.5863 +2023-12-11 17:09:09,537 - pyskl - INFO - Epoch [92][700/1281] lr: 8.255e-03, eta: 8:21:57, time: 0.319, data_time: 0.001, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 1.5826, loss: 1.5826 +2023-12-11 17:09:42,460 - pyskl - INFO - Epoch [92][800/1281] lr: 8.235e-03, eta: 8:21:12, time: 0.329, data_time: 0.001, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9994, loss_cls: 1.5879, loss: 1.5879 +2023-12-11 17:10:26,329 - pyskl - INFO - Epoch [92][900/1281] lr: 8.216e-03, eta: 8:20:34, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 1.5743, loss: 1.5743 +2023-12-11 17:11:10,089 - pyskl - INFO - Epoch [92][1000/1281] lr: 8.197e-03, eta: 8:19:56, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 1.5597, loss: 1.5597 +2023-12-11 17:11:54,317 - pyskl - INFO - Epoch [92][1100/1281] lr: 8.178e-03, eta: 8:19:19, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 1.5900, loss: 1.5900 +2023-12-11 17:12:38,440 - pyskl - INFO - Epoch [92][1200/1281] lr: 8.159e-03, eta: 8:18:41, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 1.5568, loss: 1.5568 +2023-12-11 17:13:14,416 - pyskl - INFO - Saving checkpoint at 92 epochs +2023-12-11 17:14:33,878 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 17:14:33,954 - pyskl - INFO - +top1_acc 0.8782 +top5_acc 0.9927 +2023-12-11 17:14:33,955 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 17:14:33,971 - pyskl - INFO - +mean_acc 0.8350 +2023-12-11 17:14:33,978 - pyskl - INFO - Epoch(val) [92][533] top1_acc: 0.8782, top5_acc: 0.9927, mean_class_accuracy: 0.8350 +2023-12-11 17:15:39,158 - pyskl - INFO - Epoch [93][100/1281] lr: 8.124e-03, eta: 8:17:23, time: 0.652, data_time: 0.222, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.5031, loss: 1.5031 +2023-12-11 17:16:22,379 - pyskl - INFO - Epoch [93][200/1281] lr: 8.105e-03, eta: 8:16:45, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.5481, loss: 1.5481 +2023-12-11 17:17:06,371 - pyskl - INFO - Epoch [93][300/1281] lr: 8.086e-03, eta: 8:16:07, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.5423, loss: 1.5423 +2023-12-11 17:17:49,936 - pyskl - INFO - Epoch [93][400/1281] lr: 8.067e-03, eta: 8:15:29, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.5023, loss: 1.5023 +2023-12-11 17:18:18,748 - pyskl - INFO - Epoch [93][500/1281] lr: 8.047e-03, eta: 8:14:41, time: 0.288, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 1.5380, loss: 1.5380 +2023-12-11 17:18:59,382 - pyskl - INFO - Epoch [93][600/1281] lr: 8.028e-03, eta: 8:14:02, time: 0.406, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.4771, loss: 1.4771 +2023-12-11 17:19:30,904 - pyskl - INFO - Epoch [93][700/1281] lr: 8.009e-03, eta: 8:13:16, time: 0.315, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 1.4979, loss: 1.4979 +2023-12-11 17:20:04,783 - pyskl - INFO - Epoch [93][800/1281] lr: 7.990e-03, eta: 8:12:32, time: 0.339, data_time: 0.001, memory: 4120, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 1.5172, loss: 1.5172 +2023-12-11 17:20:47,744 - pyskl - INFO - Epoch [93][900/1281] lr: 7.971e-03, eta: 8:11:53, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 1.5780, loss: 1.5780 +2023-12-11 17:21:31,058 - pyskl - INFO - Epoch [93][1000/1281] lr: 7.952e-03, eta: 8:11:15, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 1.5618, loss: 1.5618 +2023-12-11 17:22:14,419 - pyskl - INFO - Epoch [93][1100/1281] lr: 7.933e-03, eta: 8:10:37, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 1.5465, loss: 1.5465 +2023-12-11 17:22:57,776 - pyskl - INFO - Epoch [93][1200/1281] lr: 7.914e-03, eta: 8:09:58, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.5120, loss: 1.5120 +2023-12-11 17:23:33,871 - pyskl - INFO - Saving checkpoint at 93 epochs +2023-12-11 17:24:51,024 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 17:24:51,084 - pyskl - INFO - +top1_acc 0.8806 +top5_acc 0.9940 +2023-12-11 17:24:51,084 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 17:24:51,092 - pyskl - INFO - +mean_acc 0.8342 +2023-12-11 17:24:51,095 - pyskl - INFO - Epoch(val) [93][533] top1_acc: 0.8806, top5_acc: 0.9940, mean_class_accuracy: 0.8342 +2023-12-11 17:25:53,492 - pyskl - INFO - Epoch [94][100/1281] lr: 7.880e-03, eta: 8:08:39, time: 0.624, data_time: 0.197, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 1.4847, loss: 1.4847 +2023-12-11 17:26:36,494 - pyskl - INFO - Epoch [94][200/1281] lr: 7.861e-03, eta: 8:08:01, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 1.5041, loss: 1.5041 +2023-12-11 17:27:19,478 - pyskl - INFO - Epoch [94][300/1281] lr: 7.842e-03, eta: 8:07:22, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.4650, loss: 1.4650 +2023-12-11 17:28:03,222 - pyskl - INFO - Epoch [94][400/1281] lr: 7.823e-03, eta: 8:06:44, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 1.5391, loss: 1.5391 +2023-12-11 17:28:32,896 - pyskl - INFO - Epoch [94][500/1281] lr: 7.804e-03, eta: 8:05:58, time: 0.297, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 1.5319, loss: 1.5319 +2023-12-11 17:29:11,844 - pyskl - INFO - Epoch [94][600/1281] lr: 7.785e-03, eta: 8:05:17, time: 0.389, data_time: 0.001, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 1.5316, loss: 1.5316 +2023-12-11 17:29:46,526 - pyskl - INFO - Epoch [94][700/1281] lr: 7.766e-03, eta: 8:04:33, time: 0.347, data_time: 0.001, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 1.5629, loss: 1.5629 +2023-12-11 17:30:16,720 - pyskl - INFO - Epoch [94][800/1281] lr: 7.747e-03, eta: 8:03:47, time: 0.302, data_time: 0.001, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 1.5424, loss: 1.5424 +2023-12-11 17:31:00,306 - pyskl - INFO - Epoch [94][900/1281] lr: 7.728e-03, eta: 8:03:09, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 1.5086, loss: 1.5086 +2023-12-11 17:31:43,962 - pyskl - INFO - Epoch [94][1000/1281] lr: 7.709e-03, eta: 8:02:30, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.5108, loss: 1.5108 +2023-12-11 17:32:28,396 - pyskl - INFO - Epoch [94][1100/1281] lr: 7.690e-03, eta: 8:01:53, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 1.6243, loss: 1.6243 +2023-12-11 17:33:12,709 - pyskl - INFO - Epoch [94][1200/1281] lr: 7.672e-03, eta: 8:01:15, time: 0.443, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 1.5445, loss: 1.5445 +2023-12-11 17:33:48,513 - pyskl - INFO - Saving checkpoint at 94 epochs +2023-12-11 17:35:02,089 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 17:35:02,154 - pyskl - INFO - +top1_acc 0.8893 +top5_acc 0.9920 +2023-12-11 17:35:02,154 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 17:35:02,163 - pyskl - INFO - +mean_acc 0.8579 +2023-12-11 17:35:02,169 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_85.pth was removed +2023-12-11 17:35:02,390 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. +2023-12-11 17:35:02,391 - pyskl - INFO - Best top1_acc is 0.8893 at 94 epoch. +2023-12-11 17:35:02,395 - pyskl - INFO - Epoch(val) [94][533] top1_acc: 0.8893, top5_acc: 0.9920, mean_class_accuracy: 0.8579 +2023-12-11 17:36:03,195 - pyskl - INFO - Epoch [95][100/1281] lr: 7.637e-03, eta: 7:59:55, time: 0.608, data_time: 0.182, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.4763, loss: 1.4763 +2023-12-11 17:36:45,782 - pyskl - INFO - Epoch [95][200/1281] lr: 7.619e-03, eta: 7:59:16, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.4945, loss: 1.4945 +2023-12-11 17:37:28,865 - pyskl - INFO - Epoch [95][300/1281] lr: 7.600e-03, eta: 7:58:38, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.4721, loss: 1.4721 +2023-12-11 17:38:13,565 - pyskl - INFO - Epoch [95][400/1281] lr: 7.581e-03, eta: 7:58:00, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 1.4613, loss: 1.4613 +2023-12-11 17:38:50,988 - pyskl - INFO - Epoch [95][500/1281] lr: 7.562e-03, eta: 7:57:19, time: 0.374, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.5105, loss: 1.5105 +2023-12-11 17:39:23,388 - pyskl - INFO - Epoch [95][600/1281] lr: 7.543e-03, eta: 7:56:34, time: 0.324, data_time: 0.001, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.4538, loss: 1.4538 +2023-12-11 17:40:04,437 - pyskl - INFO - Epoch [95][700/1281] lr: 7.525e-03, eta: 7:55:54, time: 0.410, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.4545, loss: 1.4545 +2023-12-11 17:40:31,193 - pyskl - INFO - Epoch [95][800/1281] lr: 7.506e-03, eta: 7:55:06, time: 0.268, data_time: 0.001, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 1.4806, loss: 1.4806 +2023-12-11 17:41:13,887 - pyskl - INFO - Epoch [95][900/1281] lr: 7.487e-03, eta: 7:54:27, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 1.5147, loss: 1.5147 +2023-12-11 17:41:56,525 - pyskl - INFO - Epoch [95][1000/1281] lr: 7.468e-03, eta: 7:53:48, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9450, top5_acc: 1.0000, loss_cls: 1.5673, loss: 1.5673 +2023-12-11 17:42:39,278 - pyskl - INFO - Epoch [95][1100/1281] lr: 7.450e-03, eta: 7:53:10, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 1.5546, loss: 1.5546 +2023-12-11 17:43:21,883 - pyskl - INFO - Epoch [95][1200/1281] lr: 7.431e-03, eta: 7:52:31, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 1.5259, loss: 1.5259 +2023-12-11 17:43:57,069 - pyskl - INFO - Saving checkpoint at 95 epochs +2023-12-11 17:45:11,797 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 17:45:11,867 - pyskl - INFO - +top1_acc 0.8921 +top5_acc 0.9939 +2023-12-11 17:45:11,867 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 17:45:11,879 - pyskl - INFO - +mean_acc 0.8473 +2023-12-11 17:45:11,887 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_94.pth was removed +2023-12-11 17:45:12,145 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_95.pth. +2023-12-11 17:45:12,145 - pyskl - INFO - Best top1_acc is 0.8921 at 95 epoch. +2023-12-11 17:45:12,150 - pyskl - INFO - Epoch(val) [95][533] top1_acc: 0.8921, top5_acc: 0.9939, mean_class_accuracy: 0.8473 +2023-12-11 17:46:17,607 - pyskl - INFO - Epoch [96][100/1281] lr: 7.397e-03, eta: 7:51:14, time: 0.654, data_time: 0.215, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.4555, loss: 1.4555 +2023-12-11 17:47:02,479 - pyskl - INFO - Epoch [96][200/1281] lr: 7.379e-03, eta: 7:50:37, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.4453, loss: 1.4453 +2023-12-11 17:47:46,313 - pyskl - INFO - Epoch [96][300/1281] lr: 7.360e-03, eta: 7:49:58, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.4859, loss: 1.4859 +2023-12-11 17:48:29,923 - pyskl - INFO - Epoch [96][400/1281] lr: 7.341e-03, eta: 7:49:20, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 1.5001, loss: 1.5001 +2023-12-11 17:49:05,529 - pyskl - INFO - Epoch [96][500/1281] lr: 7.323e-03, eta: 7:48:37, time: 0.356, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 1.5309, loss: 1.5309 +2023-12-11 17:49:38,799 - pyskl - INFO - Epoch [96][600/1281] lr: 7.304e-03, eta: 7:47:53, time: 0.333, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.4722, loss: 1.4722 +2023-12-11 17:50:17,505 - pyskl - INFO - Epoch [96][700/1281] lr: 7.286e-03, eta: 7:47:12, time: 0.387, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 1.4576, loss: 1.4576 +2023-12-11 17:50:46,385 - pyskl - INFO - Epoch [96][800/1281] lr: 7.267e-03, eta: 7:46:26, time: 0.289, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 1.4850, loss: 1.4850 +2023-12-11 17:51:28,976 - pyskl - INFO - Epoch [96][900/1281] lr: 7.249e-03, eta: 7:45:47, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.4419, loss: 1.4419 +2023-12-11 17:52:12,168 - pyskl - INFO - Epoch [96][1000/1281] lr: 7.230e-03, eta: 7:45:08, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 1.5004, loss: 1.5004 +2023-12-11 17:52:57,119 - pyskl - INFO - Epoch [96][1100/1281] lr: 7.211e-03, eta: 7:44:31, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 1.5027, loss: 1.5027 +2023-12-11 17:53:40,454 - pyskl - INFO - Epoch [96][1200/1281] lr: 7.193e-03, eta: 7:43:52, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 1.4848, loss: 1.4848 +2023-12-11 17:54:16,827 - pyskl - INFO - Saving checkpoint at 96 epochs +2023-12-11 17:55:33,727 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 17:55:33,791 - pyskl - INFO - +top1_acc 0.8906 +top5_acc 0.9945 +2023-12-11 17:55:33,791 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 17:55:33,799 - pyskl - INFO - +mean_acc 0.8568 +2023-12-11 17:55:33,802 - pyskl - INFO - Epoch(val) [96][533] top1_acc: 0.8906, top5_acc: 0.9945, mean_class_accuracy: 0.8568 +2023-12-11 17:56:34,122 - pyskl - INFO - Epoch [97][100/1281] lr: 7.159e-03, eta: 7:42:33, time: 0.603, data_time: 0.178, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 1.4351, loss: 1.4351 +2023-12-11 17:57:17,007 - pyskl - INFO - Epoch [97][200/1281] lr: 7.141e-03, eta: 7:41:54, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.4267, loss: 1.4267 +2023-12-11 17:58:00,275 - pyskl - INFO - Epoch [97][300/1281] lr: 7.123e-03, eta: 7:41:16, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.4320, loss: 1.4320 +2023-12-11 17:58:43,902 - pyskl - INFO - Epoch [97][400/1281] lr: 7.104e-03, eta: 7:40:37, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 1.4601, loss: 1.4601 +2023-12-11 17:59:18,700 - pyskl - INFO - Epoch [97][500/1281] lr: 7.086e-03, eta: 7:39:54, time: 0.348, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.4500, loss: 1.4500 +2023-12-11 17:59:53,440 - pyskl - INFO - Epoch [97][600/1281] lr: 7.067e-03, eta: 7:39:11, time: 0.347, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.4738, loss: 1.4738 +2023-12-11 18:00:32,119 - pyskl - INFO - Epoch [97][700/1281] lr: 7.049e-03, eta: 7:38:30, time: 0.387, data_time: 0.001, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.4495, loss: 1.4495 +2023-12-11 18:01:00,980 - pyskl - INFO - Epoch [97][800/1281] lr: 7.030e-03, eta: 7:37:43, time: 0.289, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 1.5105, loss: 1.5105 +2023-12-11 18:01:44,356 - pyskl - INFO - Epoch [97][900/1281] lr: 7.012e-03, eta: 7:37:05, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.4802, loss: 1.4802 +2023-12-11 18:02:29,279 - pyskl - INFO - Epoch [97][1000/1281] lr: 6.994e-03, eta: 7:36:27, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.4591, loss: 1.4591 +2023-12-11 18:03:12,980 - pyskl - INFO - Epoch [97][1100/1281] lr: 6.975e-03, eta: 7:35:49, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 1.5290, loss: 1.5290 +2023-12-11 18:03:56,655 - pyskl - INFO - Epoch [97][1200/1281] lr: 6.957e-03, eta: 7:35:11, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 1.4733, loss: 1.4733 +2023-12-11 18:04:32,477 - pyskl - INFO - Saving checkpoint at 97 epochs +2023-12-11 18:05:45,787 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 18:05:45,843 - pyskl - INFO - +top1_acc 0.8973 +top5_acc 0.9926 +2023-12-11 18:05:45,843 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 18:05:45,853 - pyskl - INFO - +mean_acc 0.8653 +2023-12-11 18:05:45,860 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_95.pth was removed +2023-12-11 18:05:46,053 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. +2023-12-11 18:05:46,053 - pyskl - INFO - Best top1_acc is 0.8973 at 97 epoch. +2023-12-11 18:05:46,056 - pyskl - INFO - Epoch(val) [97][533] top1_acc: 0.8973, top5_acc: 0.9926, mean_class_accuracy: 0.8653 +2023-12-11 18:06:46,661 - pyskl - INFO - Epoch [98][100/1281] lr: 6.924e-03, eta: 7:33:52, time: 0.606, data_time: 0.180, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.3880, loss: 1.3880 +2023-12-11 18:07:29,407 - pyskl - INFO - Epoch [98][200/1281] lr: 6.906e-03, eta: 7:33:13, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.3979, loss: 1.3979 +2023-12-11 18:08:12,565 - pyskl - INFO - Epoch [98][300/1281] lr: 6.887e-03, eta: 7:32:34, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.3641, loss: 1.3641 +2023-12-11 18:08:55,584 - pyskl - INFO - Epoch [98][400/1281] lr: 6.869e-03, eta: 7:31:56, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.4056, loss: 1.4056 +2023-12-11 18:09:33,558 - pyskl - INFO - Epoch [98][500/1281] lr: 6.851e-03, eta: 7:31:14, time: 0.380, data_time: 0.001, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.4417, loss: 1.4417 +2023-12-11 18:10:03,773 - pyskl - INFO - Epoch [98][600/1281] lr: 6.833e-03, eta: 7:30:29, time: 0.302, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 1.4566, loss: 1.4566 +2023-12-11 18:10:47,136 - pyskl - INFO - Epoch [98][700/1281] lr: 6.814e-03, eta: 7:29:50, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.4219, loss: 1.4219 +2023-12-11 18:11:12,027 - pyskl - INFO - Epoch [98][800/1281] lr: 6.796e-03, eta: 7:29:02, time: 0.249, data_time: 0.001, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.3923, loss: 1.3923 +2023-12-11 18:11:55,557 - pyskl - INFO - Epoch [98][900/1281] lr: 6.778e-03, eta: 7:28:24, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.4293, loss: 1.4293 +2023-12-11 18:12:39,066 - pyskl - INFO - Epoch [98][1000/1281] lr: 6.760e-03, eta: 7:27:45, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 1.4621, loss: 1.4621 +2023-12-11 18:13:22,526 - pyskl - INFO - Epoch [98][1100/1281] lr: 6.742e-03, eta: 7:27:07, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 1.4374, loss: 1.4374 +2023-12-11 18:14:06,096 - pyskl - INFO - Epoch [98][1200/1281] lr: 6.724e-03, eta: 7:26:28, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 1.4568, loss: 1.4568 +2023-12-11 18:14:41,919 - pyskl - INFO - Saving checkpoint at 98 epochs +2023-12-11 18:15:55,270 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 18:15:55,325 - pyskl - INFO - +top1_acc 0.8914 +top5_acc 0.9930 +2023-12-11 18:15:55,325 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 18:15:55,332 - pyskl - INFO - +mean_acc 0.8543 +2023-12-11 18:15:55,334 - pyskl - INFO - Epoch(val) [98][533] top1_acc: 0.8914, top5_acc: 0.9930, mean_class_accuracy: 0.8543 +2023-12-11 18:17:00,653 - pyskl - INFO - Epoch [99][100/1281] lr: 6.691e-03, eta: 7:25:12, time: 0.653, data_time: 0.220, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.4479, loss: 1.4479 +2023-12-11 18:17:44,344 - pyskl - INFO - Epoch [99][200/1281] lr: 6.673e-03, eta: 7:24:34, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.4208, loss: 1.4208 +2023-12-11 18:18:28,361 - pyskl - INFO - Epoch [99][300/1281] lr: 6.655e-03, eta: 7:23:55, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 1.4347, loss: 1.4347 +2023-12-11 18:19:11,444 - pyskl - INFO - Epoch [99][400/1281] lr: 6.637e-03, eta: 7:23:17, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.4550, loss: 1.4550 +2023-12-11 18:19:48,962 - pyskl - INFO - Epoch [99][500/1281] lr: 6.619e-03, eta: 7:22:35, time: 0.375, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.4205, loss: 1.4205 +2023-12-11 18:20:19,942 - pyskl - INFO - Epoch [99][600/1281] lr: 6.601e-03, eta: 7:21:50, time: 0.310, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.4168, loss: 1.4168 +2023-12-11 18:21:01,068 - pyskl - INFO - Epoch [99][700/1281] lr: 6.583e-03, eta: 7:21:11, time: 0.411, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 1.4378, loss: 1.4378 +2023-12-11 18:21:27,738 - pyskl - INFO - Epoch [99][800/1281] lr: 6.565e-03, eta: 7:20:23, time: 0.267, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.4201, loss: 1.4201 +2023-12-11 18:22:10,632 - pyskl - INFO - Epoch [99][900/1281] lr: 6.547e-03, eta: 7:19:45, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 1.4395, loss: 1.4395 +2023-12-11 18:22:54,234 - pyskl - INFO - Epoch [99][1000/1281] lr: 6.529e-03, eta: 7:19:06, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 1.4100, loss: 1.4100 +2023-12-11 18:23:37,878 - pyskl - INFO - Epoch [99][1100/1281] lr: 6.511e-03, eta: 7:18:28, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.4418, loss: 1.4418 +2023-12-11 18:24:21,255 - pyskl - INFO - Epoch [99][1200/1281] lr: 6.493e-03, eta: 7:17:49, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 1.4275, loss: 1.4275 +2023-12-11 18:24:56,926 - pyskl - INFO - Saving checkpoint at 99 epochs +2023-12-11 18:26:15,110 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 18:26:15,179 - pyskl - INFO - +top1_acc 0.8814 +top5_acc 0.9907 +2023-12-11 18:26:15,180 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 18:26:15,188 - pyskl - INFO - +mean_acc 0.8506 +2023-12-11 18:26:15,190 - pyskl - INFO - Epoch(val) [99][533] top1_acc: 0.8814, top5_acc: 0.9907, mean_class_accuracy: 0.8506 +2023-12-11 18:27:19,280 - pyskl - INFO - Epoch [100][100/1281] lr: 6.460e-03, eta: 7:16:32, time: 0.641, data_time: 0.215, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.3425, loss: 1.3425 +2023-12-11 18:28:01,853 - pyskl - INFO - Epoch [100][200/1281] lr: 6.442e-03, eta: 7:15:53, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.3578, loss: 1.3578 +2023-12-11 18:28:44,446 - pyskl - INFO - Epoch [100][300/1281] lr: 6.425e-03, eta: 7:15:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.4054, loss: 1.4054 +2023-12-11 18:29:27,027 - pyskl - INFO - Epoch [100][400/1281] lr: 6.407e-03, eta: 7:14:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 1.4010, loss: 1.4010 +2023-12-11 18:30:00,330 - pyskl - INFO - Epoch [100][500/1281] lr: 6.389e-03, eta: 7:13:52, time: 0.333, data_time: 0.001, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.3725, loss: 1.3725 +2023-12-11 18:30:36,207 - pyskl - INFO - Epoch [100][600/1281] lr: 6.371e-03, eta: 7:13:10, time: 0.359, data_time: 0.001, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.4230, loss: 1.4230 +2023-12-11 18:31:12,364 - pyskl - INFO - Epoch [100][700/1281] lr: 6.353e-03, eta: 7:12:27, time: 0.362, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 1.4257, loss: 1.4257 +2023-12-11 18:31:42,925 - pyskl - INFO - Epoch [100][800/1281] lr: 6.336e-03, eta: 7:11:42, time: 0.306, data_time: 0.001, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.3716, loss: 1.3716 +2023-12-11 18:32:26,095 - pyskl - INFO - Epoch [100][900/1281] lr: 6.318e-03, eta: 7:11:04, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.4106, loss: 1.4106 +2023-12-11 18:33:09,443 - pyskl - INFO - Epoch [100][1000/1281] lr: 6.300e-03, eta: 7:10:25, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 1.4094, loss: 1.4094 +2023-12-11 18:33:53,852 - pyskl - INFO - Epoch [100][1100/1281] lr: 6.282e-03, eta: 7:09:47, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 1.4192, loss: 1.4192 +2023-12-11 18:34:38,198 - pyskl - INFO - Epoch [100][1200/1281] lr: 6.265e-03, eta: 7:09:09, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 1.4186, loss: 1.4186 +2023-12-11 18:35:13,954 - pyskl - INFO - Saving checkpoint at 100 epochs +2023-12-11 18:36:27,603 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 18:36:27,660 - pyskl - INFO - +top1_acc 0.8852 +top5_acc 0.9918 +2023-12-11 18:36:27,661 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 18:36:27,668 - pyskl - INFO - +mean_acc 0.8639 +2023-12-11 18:36:27,670 - pyskl - INFO - Epoch(val) [100][533] top1_acc: 0.8852, top5_acc: 0.9918, mean_class_accuracy: 0.8639 +2023-12-11 18:37:27,956 - pyskl - INFO - Epoch [101][100/1281] lr: 6.232e-03, eta: 7:07:50, time: 0.603, data_time: 0.177, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.3433, loss: 1.3433 +2023-12-11 18:38:10,796 - pyskl - INFO - Epoch [101][200/1281] lr: 6.215e-03, eta: 7:07:12, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.3388, loss: 1.3388 +2023-12-11 18:38:54,444 - pyskl - INFO - Epoch [101][300/1281] lr: 6.197e-03, eta: 7:06:33, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.3616, loss: 1.3616 +2023-12-11 18:39:38,111 - pyskl - INFO - Epoch [101][400/1281] lr: 6.180e-03, eta: 7:05:55, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.3962, loss: 1.3962 +2023-12-11 18:40:14,020 - pyskl - INFO - Epoch [101][500/1281] lr: 6.162e-03, eta: 7:05:13, time: 0.359, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.3782, loss: 1.3782 +2023-12-11 18:40:47,123 - pyskl - INFO - Epoch [101][600/1281] lr: 6.144e-03, eta: 7:04:29, time: 0.331, data_time: 0.001, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.3283, loss: 1.3283 +2023-12-11 18:41:28,261 - pyskl - INFO - Epoch [101][700/1281] lr: 6.127e-03, eta: 7:03:49, time: 0.411, data_time: 0.001, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.3314, loss: 1.3314 +2023-12-11 18:41:56,007 - pyskl - INFO - Epoch [101][800/1281] lr: 6.109e-03, eta: 7:03:03, time: 0.277, data_time: 0.001, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.3649, loss: 1.3649 +2023-12-11 18:42:39,202 - pyskl - INFO - Epoch [101][900/1281] lr: 6.092e-03, eta: 7:02:24, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.3797, loss: 1.3797 +2023-12-11 18:43:22,819 - pyskl - INFO - Epoch [101][1000/1281] lr: 6.074e-03, eta: 7:01:46, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.3906, loss: 1.3906 +2023-12-11 18:44:05,830 - pyskl - INFO - Epoch [101][1100/1281] lr: 6.057e-03, eta: 7:01:07, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.4170, loss: 1.4170 +2023-12-11 18:44:48,550 - pyskl - INFO - Epoch [101][1200/1281] lr: 6.039e-03, eta: 7:00:28, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.3681, loss: 1.3681 +2023-12-11 18:45:23,689 - pyskl - INFO - Saving checkpoint at 101 epochs +2023-12-11 18:46:37,248 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 18:46:37,306 - pyskl - INFO - +top1_acc 0.8852 +top5_acc 0.9924 +2023-12-11 18:46:37,306 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 18:46:37,313 - pyskl - INFO - +mean_acc 0.8492 +2023-12-11 18:46:37,314 - pyskl - INFO - Epoch(val) [101][533] top1_acc: 0.8852, top5_acc: 0.9924, mean_class_accuracy: 0.8492 +2023-12-11 18:47:38,448 - pyskl - INFO - Epoch [102][100/1281] lr: 6.007e-03, eta: 6:59:10, time: 0.611, data_time: 0.183, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.3678, loss: 1.3678 +2023-12-11 18:48:23,173 - pyskl - INFO - Epoch [102][200/1281] lr: 5.990e-03, eta: 6:58:32, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.3235, loss: 1.3235 +2023-12-11 18:49:07,812 - pyskl - INFO - Epoch [102][300/1281] lr: 5.972e-03, eta: 6:57:54, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.3496, loss: 1.3496 +2023-12-11 18:49:50,987 - pyskl - INFO - Epoch [102][400/1281] lr: 5.955e-03, eta: 6:57:16, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.3655, loss: 1.3655 +2023-12-11 18:50:30,161 - pyskl - INFO - Epoch [102][500/1281] lr: 5.938e-03, eta: 6:56:35, time: 0.392, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.3825, loss: 1.3825 +2023-12-11 18:51:00,341 - pyskl - INFO - Epoch [102][600/1281] lr: 5.920e-03, eta: 6:55:50, time: 0.302, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.4179, loss: 1.4179 +2023-12-11 18:51:42,142 - pyskl - INFO - Epoch [102][700/1281] lr: 5.903e-03, eta: 6:55:11, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.3522, loss: 1.3522 +2023-12-11 18:52:07,738 - pyskl - INFO - Epoch [102][800/1281] lr: 5.886e-03, eta: 6:54:24, time: 0.256, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.3808, loss: 1.3808 +2023-12-11 18:52:50,390 - pyskl - INFO - Epoch [102][900/1281] lr: 5.868e-03, eta: 6:53:45, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 1.4008, loss: 1.4008 +2023-12-11 18:53:33,010 - pyskl - INFO - Epoch [102][1000/1281] lr: 5.851e-03, eta: 6:53:06, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.3651, loss: 1.3651 +2023-12-11 18:54:15,604 - pyskl - INFO - Epoch [102][1100/1281] lr: 5.834e-03, eta: 6:52:27, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.3700, loss: 1.3700 +2023-12-11 18:54:58,275 - pyskl - INFO - Epoch [102][1200/1281] lr: 5.816e-03, eta: 6:51:48, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.3879, loss: 1.3879 +2023-12-11 18:55:34,206 - pyskl - INFO - Saving checkpoint at 102 epochs +2023-12-11 18:56:51,598 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 18:56:51,671 - pyskl - INFO - +top1_acc 0.8939 +top5_acc 0.9939 +2023-12-11 18:56:51,671 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 18:56:51,680 - pyskl - INFO - +mean_acc 0.8631 +2023-12-11 18:56:51,691 - pyskl - INFO - Epoch(val) [102][533] top1_acc: 0.8939, top5_acc: 0.9939, mean_class_accuracy: 0.8631 +2023-12-11 18:57:57,457 - pyskl - INFO - Epoch [103][100/1281] lr: 5.785e-03, eta: 6:50:32, time: 0.658, data_time: 0.216, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.3841, loss: 1.3841 +2023-12-11 18:58:41,035 - pyskl - INFO - Epoch [103][200/1281] lr: 5.768e-03, eta: 6:49:54, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.3834, loss: 1.3834 +2023-12-11 18:59:24,648 - pyskl - INFO - Epoch [103][300/1281] lr: 5.751e-03, eta: 6:49:15, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.3724, loss: 1.3724 +2023-12-11 19:00:08,329 - pyskl - INFO - Epoch [103][400/1281] lr: 5.733e-03, eta: 6:48:37, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.3893, loss: 1.3893 +2023-12-11 19:00:43,992 - pyskl - INFO - Epoch [103][500/1281] lr: 5.716e-03, eta: 6:47:54, time: 0.357, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.3629, loss: 1.3629 +2023-12-11 19:01:16,853 - pyskl - INFO - Epoch [103][600/1281] lr: 5.699e-03, eta: 6:47:11, time: 0.329, data_time: 0.001, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.3725, loss: 1.3725 +2023-12-11 19:01:56,013 - pyskl - INFO - Epoch [103][700/1281] lr: 5.682e-03, eta: 6:46:30, time: 0.392, data_time: 0.001, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.3495, loss: 1.3495 +2023-12-11 19:02:24,163 - pyskl - INFO - Epoch [103][800/1281] lr: 5.665e-03, eta: 6:45:45, time: 0.281, data_time: 0.001, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.3523, loss: 1.3523 +2023-12-11 19:03:08,570 - pyskl - INFO - Epoch [103][900/1281] lr: 5.648e-03, eta: 6:45:06, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 1.4190, loss: 1.4190 +2023-12-11 19:03:53,590 - pyskl - INFO - Epoch [103][1000/1281] lr: 5.631e-03, eta: 6:44:29, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.3563, loss: 1.3563 +2023-12-11 19:04:36,719 - pyskl - INFO - Epoch [103][1100/1281] lr: 5.614e-03, eta: 6:43:50, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.3752, loss: 1.3752 +2023-12-11 19:05:19,628 - pyskl - INFO - Epoch [103][1200/1281] lr: 5.597e-03, eta: 6:43:11, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.4090, loss: 1.4090 +2023-12-11 19:05:54,970 - pyskl - INFO - Saving checkpoint at 103 epochs +2023-12-11 19:07:08,488 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 19:07:08,555 - pyskl - INFO - +top1_acc 0.9004 +top5_acc 0.9932 +2023-12-11 19:07:08,555 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 19:07:08,565 - pyskl - INFO - +mean_acc 0.8671 +2023-12-11 19:07:08,571 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_97.pth was removed +2023-12-11 19:07:08,787 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_103.pth. +2023-12-11 19:07:08,787 - pyskl - INFO - Best top1_acc is 0.9004 at 103 epoch. +2023-12-11 19:07:08,790 - pyskl - INFO - Epoch(val) [103][533] top1_acc: 0.9004, top5_acc: 0.9932, mean_class_accuracy: 0.8671 +2023-12-11 19:08:10,491 - pyskl - INFO - Epoch [104][100/1281] lr: 5.566e-03, eta: 6:41:53, time: 0.617, data_time: 0.181, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2913, loss: 1.2913 +2023-12-11 19:08:54,083 - pyskl - INFO - Epoch [104][200/1281] lr: 5.549e-03, eta: 6:41:15, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2943, loss: 1.2943 +2023-12-11 19:09:38,513 - pyskl - INFO - Epoch [104][300/1281] lr: 5.532e-03, eta: 6:40:37, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.3101, loss: 1.3101 +2023-12-11 19:10:23,144 - pyskl - INFO - Epoch [104][400/1281] lr: 5.515e-03, eta: 6:39:59, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.3071, loss: 1.3071 +2023-12-11 19:11:01,286 - pyskl - INFO - Epoch [104][500/1281] lr: 5.498e-03, eta: 6:39:18, time: 0.381, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.3128, loss: 1.3128 +2023-12-11 19:11:32,161 - pyskl - INFO - Epoch [104][600/1281] lr: 5.481e-03, eta: 6:38:33, time: 0.309, data_time: 0.001, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.3384, loss: 1.3384 +2023-12-11 19:12:14,994 - pyskl - INFO - Epoch [104][700/1281] lr: 5.464e-03, eta: 6:37:54, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.3586, loss: 1.3586 +2023-12-11 19:12:39,931 - pyskl - INFO - Epoch [104][800/1281] lr: 5.447e-03, eta: 6:37:07, time: 0.249, data_time: 0.001, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 1.3661, loss: 1.3661 +2023-12-11 19:13:22,490 - pyskl - INFO - Epoch [104][900/1281] lr: 5.430e-03, eta: 6:36:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.2981, loss: 1.2981 +2023-12-11 19:14:05,138 - pyskl - INFO - Epoch [104][1000/1281] lr: 5.413e-03, eta: 6:35:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.3425, loss: 1.3425 +2023-12-11 19:14:47,908 - pyskl - INFO - Epoch [104][1100/1281] lr: 5.397e-03, eta: 6:35:11, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.3240, loss: 1.3240 +2023-12-11 19:15:30,417 - pyskl - INFO - Epoch [104][1200/1281] lr: 5.380e-03, eta: 6:34:31, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.3227, loss: 1.3227 +2023-12-11 19:16:05,656 - pyskl - INFO - Saving checkpoint at 104 epochs +2023-12-11 19:17:19,152 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 19:17:19,229 - pyskl - INFO - +top1_acc 0.9025 +top5_acc 0.9932 +2023-12-11 19:17:19,230 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 19:17:19,243 - pyskl - INFO - +mean_acc 0.8658 +2023-12-11 19:17:19,249 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_103.pth was removed +2023-12-11 19:17:19,496 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2023-12-11 19:17:19,497 - pyskl - INFO - Best top1_acc is 0.9025 at 104 epoch. +2023-12-11 19:17:19,499 - pyskl - INFO - Epoch(val) [104][533] top1_acc: 0.9025, top5_acc: 0.9932, mean_class_accuracy: 0.8658 +2023-12-11 19:18:25,174 - pyskl - INFO - Epoch [105][100/1281] lr: 5.349e-03, eta: 6:33:16, time: 0.657, data_time: 0.218, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.2870, loss: 1.2870 +2023-12-11 19:19:09,663 - pyskl - INFO - Epoch [105][200/1281] lr: 5.333e-03, eta: 6:32:38, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.3011, loss: 1.3011 +2023-12-11 19:19:53,577 - pyskl - INFO - Epoch [105][300/1281] lr: 5.316e-03, eta: 6:31:59, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 1.3290, loss: 1.3290 +2023-12-11 19:20:37,323 - pyskl - INFO - Epoch [105][400/1281] lr: 5.299e-03, eta: 6:31:21, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.3297, loss: 1.3297 +2023-12-11 19:21:15,663 - pyskl - INFO - Epoch [105][500/1281] lr: 5.283e-03, eta: 6:30:40, time: 0.383, data_time: 0.001, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.3000, loss: 1.3000 +2023-12-11 19:21:46,695 - pyskl - INFO - Epoch [105][600/1281] lr: 5.266e-03, eta: 6:29:56, time: 0.310, data_time: 0.001, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.3597, loss: 1.3597 +2023-12-11 19:22:27,762 - pyskl - INFO - Epoch [105][700/1281] lr: 5.249e-03, eta: 6:29:16, time: 0.411, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.3311, loss: 1.3311 +2023-12-11 19:22:53,618 - pyskl - INFO - Epoch [105][800/1281] lr: 5.233e-03, eta: 6:28:30, time: 0.259, data_time: 0.001, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.3123, loss: 1.3123 +2023-12-11 19:23:37,194 - pyskl - INFO - Epoch [105][900/1281] lr: 5.216e-03, eta: 6:27:51, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.3221, loss: 1.3221 +2023-12-11 19:24:21,142 - pyskl - INFO - Epoch [105][1000/1281] lr: 5.199e-03, eta: 6:27:13, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.3300, loss: 1.3300 +2023-12-11 19:25:04,189 - pyskl - INFO - Epoch [105][1100/1281] lr: 5.183e-03, eta: 6:26:34, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.3011, loss: 1.3011 +2023-12-11 19:25:47,444 - pyskl - INFO - Epoch [105][1200/1281] lr: 5.166e-03, eta: 6:25:55, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.2674, loss: 1.2674 +2023-12-11 19:26:23,315 - pyskl - INFO - Saving checkpoint at 105 epochs +2023-12-11 19:27:40,216 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 19:27:40,281 - pyskl - INFO - +top1_acc 0.9040 +top5_acc 0.9928 +2023-12-11 19:27:40,281 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 19:27:40,290 - pyskl - INFO - +mean_acc 0.8735 +2023-12-11 19:27:40,294 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_104.pth was removed +2023-12-11 19:27:40,474 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. +2023-12-11 19:27:40,474 - pyskl - INFO - Best top1_acc is 0.9040 at 105 epoch. +2023-12-11 19:27:40,477 - pyskl - INFO - Epoch(val) [105][533] top1_acc: 0.9040, top5_acc: 0.9928, mean_class_accuracy: 0.8735 +2023-12-11 19:28:42,013 - pyskl - INFO - Epoch [106][100/1281] lr: 5.136e-03, eta: 6:24:38, time: 0.615, data_time: 0.179, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.2833, loss: 1.2833 +2023-12-11 19:29:25,623 - pyskl - INFO - Epoch [106][200/1281] lr: 5.120e-03, eta: 6:23:59, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.2728, loss: 1.2728 +2023-12-11 19:30:09,167 - pyskl - INFO - Epoch [106][300/1281] lr: 5.103e-03, eta: 6:23:20, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.2465, loss: 1.2465 +2023-12-11 19:30:52,831 - pyskl - INFO - Epoch [106][400/1281] lr: 5.087e-03, eta: 6:22:42, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.2418, loss: 1.2418 +2023-12-11 19:31:31,756 - pyskl - INFO - Epoch [106][500/1281] lr: 5.070e-03, eta: 6:22:01, time: 0.389, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.2446, loss: 1.2446 +2023-12-11 19:32:03,028 - pyskl - INFO - Epoch [106][600/1281] lr: 5.054e-03, eta: 6:21:17, time: 0.313, data_time: 0.001, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2407, loss: 1.2407 +2023-12-11 19:32:45,981 - pyskl - INFO - Epoch [106][700/1281] lr: 5.038e-03, eta: 6:20:38, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2372, loss: 1.2372 +2023-12-11 19:33:11,025 - pyskl - INFO - Epoch [106][800/1281] lr: 5.021e-03, eta: 6:19:52, time: 0.250, data_time: 0.001, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.2562, loss: 1.2562 +2023-12-11 19:33:55,939 - pyskl - INFO - Epoch [106][900/1281] lr: 5.005e-03, eta: 6:19:14, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.2682, loss: 1.2682 +2023-12-11 19:34:39,915 - pyskl - INFO - Epoch [106][1000/1281] lr: 4.988e-03, eta: 6:18:35, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 1.4037, loss: 1.4037 +2023-12-11 19:35:23,526 - pyskl - INFO - Epoch [106][1100/1281] lr: 4.972e-03, eta: 6:17:57, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.3506, loss: 1.3506 +2023-12-11 19:36:07,191 - pyskl - INFO - Epoch [106][1200/1281] lr: 4.956e-03, eta: 6:17:18, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.3180, loss: 1.3180 +2023-12-11 19:36:42,732 - pyskl - INFO - Saving checkpoint at 106 epochs +2023-12-11 19:37:55,891 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 19:37:55,955 - pyskl - INFO - +top1_acc 0.8984 +top5_acc 0.9920 +2023-12-11 19:37:55,955 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 19:37:55,962 - pyskl - INFO - +mean_acc 0.8631 +2023-12-11 19:37:55,963 - pyskl - INFO - Epoch(val) [106][533] top1_acc: 0.8984, top5_acc: 0.9920, mean_class_accuracy: 0.8631 +2023-12-11 19:38:57,120 - pyskl - INFO - Epoch [107][100/1281] lr: 4.926e-03, eta: 6:16:01, time: 0.611, data_time: 0.181, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.3441, loss: 1.3441 +2023-12-11 19:39:40,275 - pyskl - INFO - Epoch [107][200/1281] lr: 4.910e-03, eta: 6:15:22, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2758, loss: 1.2758 +2023-12-11 19:40:25,163 - pyskl - INFO - Epoch [107][300/1281] lr: 4.894e-03, eta: 6:14:44, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 1.2844, loss: 1.2844 +2023-12-11 19:41:08,432 - pyskl - INFO - Epoch [107][400/1281] lr: 4.878e-03, eta: 6:14:05, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.2890, loss: 1.2890 +2023-12-11 19:41:50,512 - pyskl - INFO - Epoch [107][500/1281] lr: 4.862e-03, eta: 6:13:26, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.2834, loss: 1.2834 +2023-12-11 19:42:16,773 - pyskl - INFO - Epoch [107][600/1281] lr: 4.845e-03, eta: 6:12:40, time: 0.263, data_time: 0.001, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.3063, loss: 1.3063 +2023-12-11 19:43:01,576 - pyskl - INFO - Epoch [107][700/1281] lr: 4.829e-03, eta: 6:12:02, time: 0.448, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2653, loss: 1.2653 +2023-12-11 19:43:24,261 - pyskl - INFO - Epoch [107][800/1281] lr: 4.813e-03, eta: 6:11:15, time: 0.227, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.2949, loss: 1.2949 +2023-12-11 19:44:07,559 - pyskl - INFO - Epoch [107][900/1281] lr: 4.797e-03, eta: 6:10:36, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.2869, loss: 1.2869 +2023-12-11 19:44:50,153 - pyskl - INFO - Epoch [107][1000/1281] lr: 4.781e-03, eta: 6:09:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2684, loss: 1.2684 +2023-12-11 19:45:32,835 - pyskl - INFO - Epoch [107][1100/1281] lr: 4.765e-03, eta: 6:09:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.2920, loss: 1.2920 +2023-12-11 19:46:15,854 - pyskl - INFO - Epoch [107][1200/1281] lr: 4.749e-03, eta: 6:08:39, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.2902, loss: 1.2902 +2023-12-11 19:46:51,578 - pyskl - INFO - Saving checkpoint at 107 epochs +2023-12-11 19:48:07,937 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 19:48:07,996 - pyskl - INFO - +top1_acc 0.8965 +top5_acc 0.9934 +2023-12-11 19:48:07,996 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 19:48:08,003 - pyskl - INFO - +mean_acc 0.8617 +2023-12-11 19:48:08,006 - pyskl - INFO - Epoch(val) [107][533] top1_acc: 0.8965, top5_acc: 0.9934, mean_class_accuracy: 0.8617 +2023-12-11 19:49:13,184 - pyskl - INFO - Epoch [108][100/1281] lr: 4.720e-03, eta: 6:07:23, time: 0.652, data_time: 0.216, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.2750, loss: 1.2750 +2023-12-11 19:49:56,737 - pyskl - INFO - Epoch [108][200/1281] lr: 4.704e-03, eta: 6:06:45, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.2489, loss: 1.2489 +2023-12-11 19:50:40,400 - pyskl - INFO - Epoch [108][300/1281] lr: 4.688e-03, eta: 6:06:06, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.2798, loss: 1.2798 +2023-12-11 19:51:24,085 - pyskl - INFO - Epoch [108][400/1281] lr: 4.672e-03, eta: 6:05:27, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.2766, loss: 1.2766 +2023-12-11 19:52:03,744 - pyskl - INFO - Epoch [108][500/1281] lr: 4.656e-03, eta: 6:04:47, time: 0.397, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.2746, loss: 1.2746 +2023-12-11 19:52:31,966 - pyskl - INFO - Epoch [108][600/1281] lr: 4.640e-03, eta: 6:04:02, time: 0.282, data_time: 0.001, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.2724, loss: 1.2724 +2023-12-11 19:53:16,220 - pyskl - INFO - Epoch [108][700/1281] lr: 4.624e-03, eta: 6:03:24, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2809, loss: 1.2809 +2023-12-11 19:53:39,483 - pyskl - INFO - Epoch [108][800/1281] lr: 4.608e-03, eta: 6:02:37, time: 0.233, data_time: 0.001, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.2344, loss: 1.2344 +2023-12-11 19:54:23,986 - pyskl - INFO - Epoch [108][900/1281] lr: 4.593e-03, eta: 6:01:59, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.2645, loss: 1.2645 +2023-12-11 19:55:08,142 - pyskl - INFO - Epoch [108][1000/1281] lr: 4.577e-03, eta: 6:01:20, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.2783, loss: 1.2783 +2023-12-11 19:55:50,811 - pyskl - INFO - Epoch [108][1100/1281] lr: 4.561e-03, eta: 6:00:41, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2611, loss: 1.2611 +2023-12-11 19:56:33,469 - pyskl - INFO - Epoch [108][1200/1281] lr: 4.545e-03, eta: 6:00:02, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2677, loss: 1.2677 +2023-12-11 19:57:08,625 - pyskl - INFO - Saving checkpoint at 108 epochs +2023-12-11 19:58:21,918 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 19:58:21,976 - pyskl - INFO - +top1_acc 0.9078 +top5_acc 0.9950 +2023-12-11 19:58:21,976 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 19:58:21,983 - pyskl - INFO - +mean_acc 0.8750 +2023-12-11 19:58:21,987 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_105.pth was removed +2023-12-11 19:58:22,167 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_108.pth. +2023-12-11 19:58:22,167 - pyskl - INFO - Best top1_acc is 0.9078 at 108 epoch. +2023-12-11 19:58:22,170 - pyskl - INFO - Epoch(val) [108][533] top1_acc: 0.9078, top5_acc: 0.9950, mean_class_accuracy: 0.8750 +2023-12-11 19:59:23,218 - pyskl - INFO - Epoch [109][100/1281] lr: 4.517e-03, eta: 5:58:45, time: 0.610, data_time: 0.181, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2391, loss: 1.2391 +2023-12-11 20:00:08,075 - pyskl - INFO - Epoch [109][200/1281] lr: 4.501e-03, eta: 5:58:07, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2246, loss: 1.2246 +2023-12-11 20:00:53,032 - pyskl - INFO - Epoch [109][300/1281] lr: 4.485e-03, eta: 5:57:28, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.2399, loss: 1.2399 +2023-12-11 20:01:38,022 - pyskl - INFO - Epoch [109][400/1281] lr: 4.470e-03, eta: 5:56:50, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.2194, loss: 1.2194 +2023-12-11 20:02:22,804 - pyskl - INFO - Epoch [109][500/1281] lr: 4.454e-03, eta: 5:56:12, time: 0.448, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.2683, loss: 1.2683 +2023-12-11 20:02:48,263 - pyskl - INFO - Epoch [109][600/1281] lr: 4.438e-03, eta: 5:55:26, time: 0.255, data_time: 0.001, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.2653, loss: 1.2653 +2023-12-11 20:03:33,194 - pyskl - INFO - Epoch [109][700/1281] lr: 4.423e-03, eta: 5:54:48, time: 0.449, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2420, loss: 1.2420 +2023-12-11 20:03:56,457 - pyskl - INFO - Epoch [109][800/1281] lr: 4.407e-03, eta: 5:54:02, time: 0.233, data_time: 0.001, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2357, loss: 1.2357 +2023-12-11 20:04:39,984 - pyskl - INFO - Epoch [109][900/1281] lr: 4.391e-03, eta: 5:53:23, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2367, loss: 1.2367 +2023-12-11 20:05:23,463 - pyskl - INFO - Epoch [109][1000/1281] lr: 4.376e-03, eta: 5:52:44, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.2732, loss: 1.2732 +2023-12-11 20:06:07,129 - pyskl - INFO - Epoch [109][1100/1281] lr: 4.360e-03, eta: 5:52:05, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.2526, loss: 1.2526 +2023-12-11 20:06:51,125 - pyskl - INFO - Epoch [109][1200/1281] lr: 4.345e-03, eta: 5:51:27, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.2412, loss: 1.2412 +2023-12-11 20:07:26,983 - pyskl - INFO - Saving checkpoint at 109 epochs +2023-12-11 20:08:43,718 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 20:08:43,807 - pyskl - INFO - +top1_acc 0.9054 +top5_acc 0.9916 +2023-12-11 20:08:43,807 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 20:08:43,819 - pyskl - INFO - +mean_acc 0.8715 +2023-12-11 20:08:43,823 - pyskl - INFO - Epoch(val) [109][533] top1_acc: 0.9054, top5_acc: 0.9916, mean_class_accuracy: 0.8715 +2023-12-11 20:09:48,491 - pyskl - INFO - Epoch [110][100/1281] lr: 4.317e-03, eta: 5:50:11, time: 0.647, data_time: 0.220, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.2825, loss: 1.2825 +2023-12-11 20:10:31,983 - pyskl - INFO - Epoch [110][200/1281] lr: 4.301e-03, eta: 5:49:32, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.2465, loss: 1.2465 +2023-12-11 20:11:14,630 - pyskl - INFO - Epoch [110][300/1281] lr: 4.286e-03, eta: 5:48:53, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.2572, loss: 1.2572 +2023-12-11 20:11:57,394 - pyskl - INFO - Epoch [110][400/1281] lr: 4.271e-03, eta: 5:48:14, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.2552, loss: 1.2552 +2023-12-11 20:12:36,897 - pyskl - INFO - Epoch [110][500/1281] lr: 4.255e-03, eta: 5:47:34, time: 0.395, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2273, loss: 1.2273 +2023-12-11 20:13:05,798 - pyskl - INFO - Epoch [110][600/1281] lr: 4.240e-03, eta: 5:46:50, time: 0.289, data_time: 0.001, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.2223, loss: 1.2223 +2023-12-11 20:13:49,432 - pyskl - INFO - Epoch [110][700/1281] lr: 4.225e-03, eta: 5:46:11, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2235, loss: 1.2235 +2023-12-11 20:14:13,344 - pyskl - INFO - Epoch [110][800/1281] lr: 4.209e-03, eta: 5:45:25, time: 0.239, data_time: 0.001, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.2381, loss: 1.2381 +2023-12-11 20:14:58,008 - pyskl - INFO - Epoch [110][900/1281] lr: 4.194e-03, eta: 5:44:46, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2431, loss: 1.2431 +2023-12-11 20:15:41,501 - pyskl - INFO - Epoch [110][1000/1281] lr: 4.179e-03, eta: 5:44:08, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.1916, loss: 1.1916 +2023-12-11 20:16:24,040 - pyskl - INFO - Epoch [110][1100/1281] lr: 4.164e-03, eta: 5:43:28, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.2656, loss: 1.2656 +2023-12-11 20:17:06,671 - pyskl - INFO - Epoch [110][1200/1281] lr: 4.148e-03, eta: 5:42:49, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.2676, loss: 1.2676 +2023-12-11 20:17:41,870 - pyskl - INFO - Saving checkpoint at 110 epochs +2023-12-11 20:18:55,440 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 20:18:55,498 - pyskl - INFO - +top1_acc 0.8964 +top5_acc 0.9934 +2023-12-11 20:18:55,498 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 20:18:55,506 - pyskl - INFO - +mean_acc 0.8697 +2023-12-11 20:18:55,512 - pyskl - INFO - Epoch(val) [110][533] top1_acc: 0.8964, top5_acc: 0.9934, mean_class_accuracy: 0.8697 +2023-12-11 20:19:56,453 - pyskl - INFO - Epoch [111][100/1281] lr: 4.121e-03, eta: 5:41:32, time: 0.609, data_time: 0.180, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2489, loss: 1.2489 +2023-12-11 20:20:39,466 - pyskl - INFO - Epoch [111][200/1281] lr: 4.106e-03, eta: 5:40:53, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.1861, loss: 1.1861 +2023-12-11 20:21:22,476 - pyskl - INFO - Epoch [111][300/1281] lr: 4.091e-03, eta: 5:40:14, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2232, loss: 1.2232 +2023-12-11 20:22:05,928 - pyskl - INFO - Epoch [111][400/1281] lr: 4.075e-03, eta: 5:39:36, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.2362, loss: 1.2362 +2023-12-11 20:22:49,771 - pyskl - INFO - Epoch [111][500/1281] lr: 4.060e-03, eta: 5:38:57, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1995, loss: 1.1995 +2023-12-11 20:23:16,189 - pyskl - INFO - Epoch [111][600/1281] lr: 4.045e-03, eta: 5:38:12, time: 0.264, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.2383, loss: 1.2383 +2023-12-11 20:24:01,187 - pyskl - INFO - Epoch [111][700/1281] lr: 4.030e-03, eta: 5:37:34, time: 0.450, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.2711, loss: 1.2711 +2023-12-11 20:24:24,182 - pyskl - INFO - Epoch [111][800/1281] lr: 4.015e-03, eta: 5:36:47, time: 0.230, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.1813, loss: 1.1813 +2023-12-11 20:25:07,767 - pyskl - INFO - Epoch [111][900/1281] lr: 4.000e-03, eta: 5:36:09, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2355, loss: 1.2355 +2023-12-11 20:25:51,328 - pyskl - INFO - Epoch [111][1000/1281] lr: 3.985e-03, eta: 5:35:30, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.2668, loss: 1.2668 +2023-12-11 20:26:34,884 - pyskl - INFO - Epoch [111][1100/1281] lr: 3.970e-03, eta: 5:34:51, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2226, loss: 1.2226 +2023-12-11 20:27:19,074 - pyskl - INFO - Epoch [111][1200/1281] lr: 3.955e-03, eta: 5:34:12, time: 0.442, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2381, loss: 1.2381 +2023-12-11 20:27:54,859 - pyskl - INFO - Saving checkpoint at 111 epochs +2023-12-11 20:29:11,727 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 20:29:11,788 - pyskl - INFO - +top1_acc 0.9053 +top5_acc 0.9952 +2023-12-11 20:29:11,788 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 20:29:11,804 - pyskl - INFO - +mean_acc 0.8660 +2023-12-11 20:29:11,811 - pyskl - INFO - Epoch(val) [111][533] top1_acc: 0.9053, top5_acc: 0.9952, mean_class_accuracy: 0.8660 +2023-12-11 20:30:17,281 - pyskl - INFO - Epoch [112][100/1281] lr: 3.928e-03, eta: 5:32:57, time: 0.655, data_time: 0.222, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1960, loss: 1.1960 +2023-12-11 20:30:59,887 - pyskl - INFO - Epoch [112][200/1281] lr: 3.914e-03, eta: 5:32:18, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.2438, loss: 1.2438 +2023-12-11 20:31:42,516 - pyskl - INFO - Epoch [112][300/1281] lr: 3.899e-03, eta: 5:31:39, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.2198, loss: 1.2198 +2023-12-11 20:32:25,181 - pyskl - INFO - Epoch [112][400/1281] lr: 3.884e-03, eta: 5:31:00, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2012, loss: 1.2012 +2023-12-11 20:33:03,776 - pyskl - INFO - Epoch [112][500/1281] lr: 3.869e-03, eta: 5:30:19, time: 0.386, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.2300, loss: 1.2300 +2023-12-11 20:33:33,418 - pyskl - INFO - Epoch [112][600/1281] lr: 3.854e-03, eta: 5:29:35, time: 0.296, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.1975, loss: 1.1975 +2023-12-11 20:34:15,640 - pyskl - INFO - Epoch [112][700/1281] lr: 3.840e-03, eta: 5:28:56, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1770, loss: 1.1770 +2023-12-11 20:34:40,523 - pyskl - INFO - Epoch [112][800/1281] lr: 3.825e-03, eta: 5:28:11, time: 0.249, data_time: 0.001, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2381, loss: 1.2381 +2023-12-11 20:35:23,912 - pyskl - INFO - Epoch [112][900/1281] lr: 3.810e-03, eta: 5:27:32, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1987, loss: 1.1987 +2023-12-11 20:36:08,223 - pyskl - INFO - Epoch [112][1000/1281] lr: 3.795e-03, eta: 5:26:53, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2113, loss: 1.2113 +2023-12-11 20:36:52,236 - pyskl - INFO - Epoch [112][1100/1281] lr: 3.781e-03, eta: 5:26:15, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.2113, loss: 1.2113 +2023-12-11 20:37:35,250 - pyskl - INFO - Epoch [112][1200/1281] lr: 3.766e-03, eta: 5:25:36, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1961, loss: 1.1961 +2023-12-11 20:38:10,353 - pyskl - INFO - Saving checkpoint at 112 epochs +2023-12-11 20:39:23,843 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 20:39:23,915 - pyskl - INFO - +top1_acc 0.9090 +top5_acc 0.9951 +2023-12-11 20:39:23,916 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 20:39:23,924 - pyskl - INFO - +mean_acc 0.8819 +2023-12-11 20:39:23,930 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_108.pth was removed +2023-12-11 20:39:24,196 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. +2023-12-11 20:39:24,197 - pyskl - INFO - Best top1_acc is 0.9090 at 112 epoch. +2023-12-11 20:39:24,202 - pyskl - INFO - Epoch(val) [112][533] top1_acc: 0.9090, top5_acc: 0.9951, mean_class_accuracy: 0.8819 +2023-12-11 20:40:25,112 - pyskl - INFO - Epoch [113][100/1281] lr: 3.740e-03, eta: 5:24:19, time: 0.609, data_time: 0.182, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.1939, loss: 1.1939 +2023-12-11 20:41:08,058 - pyskl - INFO - Epoch [113][200/1281] lr: 3.725e-03, eta: 5:23:40, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2094, loss: 1.2094 +2023-12-11 20:41:51,099 - pyskl - INFO - Epoch [113][300/1281] lr: 3.711e-03, eta: 5:23:01, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1850, loss: 1.1850 +2023-12-11 20:42:34,554 - pyskl - INFO - Epoch [113][400/1281] lr: 3.696e-03, eta: 5:22:22, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1906, loss: 1.1906 +2023-12-11 20:43:15,752 - pyskl - INFO - Epoch [113][500/1281] lr: 3.682e-03, eta: 5:21:42, time: 0.412, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1596, loss: 1.1596 +2023-12-11 20:43:43,179 - pyskl - INFO - Epoch [113][600/1281] lr: 3.667e-03, eta: 5:20:58, time: 0.274, data_time: 0.001, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.1831, loss: 1.1831 +2023-12-11 20:44:29,189 - pyskl - INFO - Epoch [113][700/1281] lr: 3.653e-03, eta: 5:20:20, time: 0.460, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2027, loss: 1.2027 +2023-12-11 20:44:51,761 - pyskl - INFO - Epoch [113][800/1281] lr: 3.638e-03, eta: 5:19:34, time: 0.226, data_time: 0.001, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1974, loss: 1.1974 +2023-12-11 20:45:34,861 - pyskl - INFO - Epoch [113][900/1281] lr: 3.624e-03, eta: 5:18:55, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.2045, loss: 1.2045 +2023-12-11 20:46:17,544 - pyskl - INFO - Epoch [113][1000/1281] lr: 3.610e-03, eta: 5:18:16, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1815, loss: 1.1815 +2023-12-11 20:47:00,303 - pyskl - INFO - Epoch [113][1100/1281] lr: 3.595e-03, eta: 5:17:37, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2169, loss: 1.2169 +2023-12-11 20:47:43,271 - pyskl - INFO - Epoch [113][1200/1281] lr: 3.581e-03, eta: 5:16:58, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.2112, loss: 1.2112 +2023-12-11 20:48:19,124 - pyskl - INFO - Saving checkpoint at 113 epochs +2023-12-11 20:49:32,612 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 20:49:32,691 - pyskl - INFO - +top1_acc 0.9092 +top5_acc 0.9937 +2023-12-11 20:49:32,692 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 20:49:32,707 - pyskl - INFO - +mean_acc 0.8754 +2023-12-11 20:49:32,722 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_112.pth was removed +2023-12-11 20:49:32,972 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. +2023-12-11 20:49:32,972 - pyskl - INFO - Best top1_acc is 0.9092 at 113 epoch. +2023-12-11 20:49:32,975 - pyskl - INFO - Epoch(val) [113][533] top1_acc: 0.9092, top5_acc: 0.9937, mean_class_accuracy: 0.8754 +2023-12-11 20:50:38,015 - pyskl - INFO - Epoch [114][100/1281] lr: 3.555e-03, eta: 5:15:43, time: 0.650, data_time: 0.219, memory: 4120, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.2108, loss: 1.2108 +2023-12-11 20:51:21,172 - pyskl - INFO - Epoch [114][200/1281] lr: 3.541e-03, eta: 5:15:04, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1964, loss: 1.1964 +2023-12-11 20:52:04,270 - pyskl - INFO - Epoch [114][300/1281] lr: 3.526e-03, eta: 5:14:25, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1751, loss: 1.1751 +2023-12-11 20:52:47,528 - pyskl - INFO - Epoch [114][400/1281] lr: 3.512e-03, eta: 5:13:46, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.1964, loss: 1.1964 +2023-12-11 20:53:27,490 - pyskl - INFO - Epoch [114][500/1281] lr: 3.498e-03, eta: 5:13:06, time: 0.400, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1879, loss: 1.1879 +2023-12-11 20:53:56,227 - pyskl - INFO - Epoch [114][600/1281] lr: 3.484e-03, eta: 5:12:22, time: 0.287, data_time: 0.001, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.1825, loss: 1.1825 +2023-12-11 20:54:39,364 - pyskl - INFO - Epoch [114][700/1281] lr: 3.470e-03, eta: 5:11:43, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.1954, loss: 1.1954 +2023-12-11 20:55:03,342 - pyskl - INFO - Epoch [114][800/1281] lr: 3.456e-03, eta: 5:10:58, time: 0.240, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.1953, loss: 1.1953 +2023-12-11 20:55:46,071 - pyskl - INFO - Epoch [114][900/1281] lr: 3.442e-03, eta: 5:10:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.2052, loss: 1.2052 +2023-12-11 20:56:30,352 - pyskl - INFO - Epoch [114][1000/1281] lr: 3.427e-03, eta: 5:09:40, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1636, loss: 1.1636 +2023-12-11 20:57:14,239 - pyskl - INFO - Epoch [114][1100/1281] lr: 3.413e-03, eta: 5:09:01, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1545, loss: 1.1545 +2023-12-11 20:57:57,248 - pyskl - INFO - Epoch [114][1200/1281] lr: 3.399e-03, eta: 5:08:22, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1748, loss: 1.1748 +2023-12-11 20:58:32,274 - pyskl - INFO - Saving checkpoint at 114 epochs +2023-12-11 20:59:45,454 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 20:59:45,517 - pyskl - INFO - +top1_acc 0.9117 +top5_acc 0.9942 +2023-12-11 20:59:45,517 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 20:59:45,528 - pyskl - INFO - +mean_acc 0.8790 +2023-12-11 20:59:45,533 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_113.pth was removed +2023-12-11 20:59:45,764 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2023-12-11 20:59:45,764 - pyskl - INFO - Best top1_acc is 0.9117 at 114 epoch. +2023-12-11 20:59:45,768 - pyskl - INFO - Epoch(val) [114][533] top1_acc: 0.9117, top5_acc: 0.9942, mean_class_accuracy: 0.8790 +2023-12-11 21:00:47,412 - pyskl - INFO - Epoch [115][100/1281] lr: 3.374e-03, eta: 5:07:06, time: 0.616, data_time: 0.181, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1785, loss: 1.1785 +2023-12-11 21:01:30,302 - pyskl - INFO - Epoch [115][200/1281] lr: 3.360e-03, eta: 5:06:27, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1616, loss: 1.1616 +2023-12-11 21:02:13,600 - pyskl - INFO - Epoch [115][300/1281] lr: 3.346e-03, eta: 5:05:48, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1543, loss: 1.1543 +2023-12-11 21:02:57,373 - pyskl - INFO - Epoch [115][400/1281] lr: 3.332e-03, eta: 5:05:09, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.1760, loss: 1.1760 +2023-12-11 21:03:37,947 - pyskl - INFO - Epoch [115][500/1281] lr: 3.318e-03, eta: 5:04:29, time: 0.406, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.1927, loss: 1.1927 +2023-12-11 21:04:06,836 - pyskl - INFO - Epoch [115][600/1281] lr: 3.305e-03, eta: 5:03:45, time: 0.289, data_time: 0.001, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1720, loss: 1.1720 +2023-12-11 21:04:51,510 - pyskl - INFO - Epoch [115][700/1281] lr: 3.291e-03, eta: 5:03:07, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.1776, loss: 1.1776 +2023-12-11 21:05:15,136 - pyskl - INFO - Epoch [115][800/1281] lr: 3.277e-03, eta: 5:02:22, time: 0.236, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1773, loss: 1.1773 +2023-12-11 21:05:58,015 - pyskl - INFO - Epoch [115][900/1281] lr: 3.263e-03, eta: 5:01:42, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2100, loss: 1.2100 +2023-12-11 21:06:40,858 - pyskl - INFO - Epoch [115][1000/1281] lr: 3.249e-03, eta: 5:01:03, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 1.1932, loss: 1.1932 +2023-12-11 21:07:24,124 - pyskl - INFO - Epoch [115][1100/1281] lr: 3.236e-03, eta: 5:00:24, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1812, loss: 1.1812 +2023-12-11 21:08:07,693 - pyskl - INFO - Epoch [115][1200/1281] lr: 3.222e-03, eta: 4:59:45, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1586, loss: 1.1586 +2023-12-11 21:08:44,152 - pyskl - INFO - Saving checkpoint at 115 epochs +2023-12-11 21:10:01,715 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 21:10:01,787 - pyskl - INFO - +top1_acc 0.9098 +top5_acc 0.9945 +2023-12-11 21:10:01,787 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 21:10:01,803 - pyskl - INFO - +mean_acc 0.8770 +2023-12-11 21:10:01,808 - pyskl - INFO - Epoch(val) [115][533] top1_acc: 0.9098, top5_acc: 0.9945, mean_class_accuracy: 0.8770 +2023-12-11 21:11:05,663 - pyskl - INFO - Epoch [116][100/1281] lr: 3.197e-03, eta: 4:58:30, time: 0.638, data_time: 0.209, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1632, loss: 1.1632 +2023-12-11 21:11:48,213 - pyskl - INFO - Epoch [116][200/1281] lr: 3.184e-03, eta: 4:57:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1636, loss: 1.1636 +2023-12-11 21:12:30,646 - pyskl - INFO - Epoch [116][300/1281] lr: 3.170e-03, eta: 4:57:12, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.1622, loss: 1.1622 +2023-12-11 21:13:13,233 - pyskl - INFO - Epoch [116][400/1281] lr: 3.156e-03, eta: 4:56:32, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1638, loss: 1.1638 +2023-12-11 21:13:49,497 - pyskl - INFO - Epoch [116][500/1281] lr: 3.143e-03, eta: 4:55:51, time: 0.363, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1445, loss: 1.1445 +2023-12-11 21:14:21,617 - pyskl - INFO - Epoch [116][600/1281] lr: 3.129e-03, eta: 4:55:09, time: 0.321, data_time: 0.001, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1713, loss: 1.1713 +2023-12-11 21:15:01,337 - pyskl - INFO - Epoch [116][700/1281] lr: 3.116e-03, eta: 4:54:29, time: 0.397, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1520, loss: 1.1520 +2023-12-11 21:15:28,520 - pyskl - INFO - Epoch [116][800/1281] lr: 3.102e-03, eta: 4:53:45, time: 0.272, data_time: 0.001, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1746, loss: 1.1746 +2023-12-11 21:16:11,656 - pyskl - INFO - Epoch [116][900/1281] lr: 3.089e-03, eta: 4:53:06, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1571, loss: 1.1571 +2023-12-11 21:16:55,377 - pyskl - INFO - Epoch [116][1000/1281] lr: 3.075e-03, eta: 4:52:27, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.1747, loss: 1.1747 +2023-12-11 21:17:38,844 - pyskl - INFO - Epoch [116][1100/1281] lr: 3.062e-03, eta: 4:51:48, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1715, loss: 1.1715 +2023-12-11 21:18:21,785 - pyskl - INFO - Epoch [116][1200/1281] lr: 3.049e-03, eta: 4:51:09, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1986, loss: 1.1986 +2023-12-11 21:18:56,930 - pyskl - INFO - Saving checkpoint at 116 epochs +2023-12-11 21:20:10,364 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 21:20:10,420 - pyskl - INFO - +top1_acc 0.9166 +top5_acc 0.9942 +2023-12-11 21:20:10,420 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 21:20:10,427 - pyskl - INFO - +mean_acc 0.8865 +2023-12-11 21:20:10,431 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_114.pth was removed +2023-12-11 21:20:10,611 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2023-12-11 21:20:10,611 - pyskl - INFO - Best top1_acc is 0.9166 at 116 epoch. +2023-12-11 21:20:10,614 - pyskl - INFO - Epoch(val) [116][533] top1_acc: 0.9166, top5_acc: 0.9942, mean_class_accuracy: 0.8865 +2023-12-11 21:21:10,926 - pyskl - INFO - Epoch [117][100/1281] lr: 3.024e-03, eta: 4:49:53, time: 0.603, data_time: 0.177, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1339, loss: 1.1339 +2023-12-11 21:21:53,502 - pyskl - INFO - Epoch [117][200/1281] lr: 3.011e-03, eta: 4:49:13, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1736, loss: 1.1736 +2023-12-11 21:22:36,823 - pyskl - INFO - Epoch [117][300/1281] lr: 2.998e-03, eta: 4:48:34, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1474, loss: 1.1474 +2023-12-11 21:23:20,106 - pyskl - INFO - Epoch [117][400/1281] lr: 2.984e-03, eta: 4:47:55, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1511, loss: 1.1511 +2023-12-11 21:23:58,029 - pyskl - INFO - Epoch [117][500/1281] lr: 2.971e-03, eta: 4:47:14, time: 0.379, data_time: 0.001, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1306, loss: 1.1306 +2023-12-11 21:24:30,438 - pyskl - INFO - Epoch [117][600/1281] lr: 2.958e-03, eta: 4:46:32, time: 0.324, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.1710, loss: 1.1710 +2023-12-11 21:25:10,891 - pyskl - INFO - Epoch [117][700/1281] lr: 2.945e-03, eta: 4:45:52, time: 0.405, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1502, loss: 1.1502 +2023-12-11 21:25:37,522 - pyskl - INFO - Epoch [117][800/1281] lr: 2.932e-03, eta: 4:45:08, time: 0.266, data_time: 0.001, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1679, loss: 1.1679 +2023-12-11 21:26:20,120 - pyskl - INFO - Epoch [117][900/1281] lr: 2.919e-03, eta: 4:44:29, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1478, loss: 1.1478 +2023-12-11 21:27:02,827 - pyskl - INFO - Epoch [117][1000/1281] lr: 2.905e-03, eta: 4:43:50, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.1834, loss: 1.1834 +2023-12-11 21:27:45,421 - pyskl - INFO - Epoch [117][1100/1281] lr: 2.892e-03, eta: 4:43:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.1880, loss: 1.1880 +2023-12-11 21:28:28,118 - pyskl - INFO - Epoch [117][1200/1281] lr: 2.879e-03, eta: 4:42:31, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1791, loss: 1.1791 +2023-12-11 21:29:03,382 - pyskl - INFO - Saving checkpoint at 117 epochs +2023-12-11 21:30:21,459 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 21:30:21,523 - pyskl - INFO - +top1_acc 0.9119 +top5_acc 0.9938 +2023-12-11 21:30:21,524 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 21:30:21,532 - pyskl - INFO - +mean_acc 0.8826 +2023-12-11 21:30:21,535 - pyskl - INFO - Epoch(val) [117][533] top1_acc: 0.9119, top5_acc: 0.9938, mean_class_accuracy: 0.8826 +2023-12-11 21:31:27,625 - pyskl - INFO - Epoch [118][100/1281] lr: 2.856e-03, eta: 4:41:17, time: 0.661, data_time: 0.222, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.2121, loss: 1.2121 +2023-12-11 21:32:11,347 - pyskl - INFO - Epoch [118][200/1281] lr: 2.843e-03, eta: 4:40:38, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1803, loss: 1.1803 +2023-12-11 21:32:54,856 - pyskl - INFO - Epoch [118][300/1281] lr: 2.830e-03, eta: 4:39:59, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.1730, loss: 1.1730 +2023-12-11 21:33:38,352 - pyskl - INFO - Epoch [118][400/1281] lr: 2.817e-03, eta: 4:39:20, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.1864, loss: 1.1864 +2023-12-11 21:34:09,950 - pyskl - INFO - Epoch [118][500/1281] lr: 2.804e-03, eta: 4:38:38, time: 0.316, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.1827, loss: 1.1827 +2023-12-11 21:34:47,772 - pyskl - INFO - Epoch [118][600/1281] lr: 2.791e-03, eta: 4:37:57, time: 0.378, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1558, loss: 1.1558 +2023-12-11 21:35:21,780 - pyskl - INFO - Epoch [118][700/1281] lr: 2.778e-03, eta: 4:37:15, time: 0.340, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1589, loss: 1.1589 +2023-12-11 21:35:54,356 - pyskl - INFO - Epoch [118][800/1281] lr: 2.765e-03, eta: 4:36:33, time: 0.326, data_time: 0.001, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.1854, loss: 1.1854 +2023-12-11 21:36:37,649 - pyskl - INFO - Epoch [118][900/1281] lr: 2.753e-03, eta: 4:35:54, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.1691, loss: 1.1691 +2023-12-11 21:37:20,986 - pyskl - INFO - Epoch [118][1000/1281] lr: 2.740e-03, eta: 4:35:15, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.1797, loss: 1.1797 +2023-12-11 21:38:04,306 - pyskl - INFO - Epoch [118][1100/1281] lr: 2.727e-03, eta: 4:34:36, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.2007, loss: 1.2007 +2023-12-11 21:38:47,813 - pyskl - INFO - Epoch [118][1200/1281] lr: 2.714e-03, eta: 4:33:57, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.1780, loss: 1.1780 +2023-12-11 21:39:23,332 - pyskl - INFO - Saving checkpoint at 118 epochs +2023-12-11 21:40:37,173 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 21:40:37,233 - pyskl - INFO - +top1_acc 0.9146 +top5_acc 0.9962 +2023-12-11 21:40:37,233 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 21:40:37,242 - pyskl - INFO - +mean_acc 0.8788 +2023-12-11 21:40:37,244 - pyskl - INFO - Epoch(val) [118][533] top1_acc: 0.9146, top5_acc: 0.9962, mean_class_accuracy: 0.8788 +2023-12-11 21:41:39,060 - pyskl - INFO - Epoch [119][100/1281] lr: 2.691e-03, eta: 4:32:42, time: 0.618, data_time: 0.183, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1236, loss: 1.1236 +2023-12-11 21:42:21,711 - pyskl - INFO - Epoch [119][200/1281] lr: 2.679e-03, eta: 4:32:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1473, loss: 1.1473 +2023-12-11 21:43:05,292 - pyskl - INFO - Epoch [119][300/1281] lr: 2.666e-03, eta: 4:31:23, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1878, loss: 1.1878 +2023-12-11 21:43:48,328 - pyskl - INFO - Epoch [119][400/1281] lr: 2.653e-03, eta: 4:30:44, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1223, loss: 1.1223 +2023-12-11 21:44:20,123 - pyskl - INFO - Epoch [119][500/1281] lr: 2.641e-03, eta: 4:30:02, time: 0.318, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1383, loss: 1.1383 +2023-12-11 21:44:58,155 - pyskl - INFO - Epoch [119][600/1281] lr: 2.628e-03, eta: 4:29:21, time: 0.380, data_time: 0.001, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.1620, loss: 1.1620 +2023-12-11 21:45:32,698 - pyskl - INFO - Epoch [119][700/1281] lr: 2.616e-03, eta: 4:28:40, time: 0.345, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1555, loss: 1.1555 +2023-12-11 21:46:04,952 - pyskl - INFO - Epoch [119][800/1281] lr: 2.603e-03, eta: 4:27:58, time: 0.323, data_time: 0.001, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1557, loss: 1.1557 +2023-12-11 21:46:47,513 - pyskl - INFO - Epoch [119][900/1281] lr: 2.591e-03, eta: 4:27:18, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1436, loss: 1.1436 +2023-12-11 21:47:30,222 - pyskl - INFO - Epoch [119][1000/1281] lr: 2.578e-03, eta: 4:26:39, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1592, loss: 1.1592 +2023-12-11 21:48:12,852 - pyskl - INFO - Epoch [119][1100/1281] lr: 2.566e-03, eta: 4:26:00, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1337, loss: 1.1337 +2023-12-11 21:48:55,356 - pyskl - INFO - Epoch [119][1200/1281] lr: 2.554e-03, eta: 4:25:20, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1500, loss: 1.1500 +2023-12-11 21:49:30,401 - pyskl - INFO - Saving checkpoint at 119 epochs +2023-12-11 21:50:47,102 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 21:50:47,163 - pyskl - INFO - +top1_acc 0.9218 +top5_acc 0.9960 +2023-12-11 21:50:47,163 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 21:50:47,171 - pyskl - INFO - +mean_acc 0.8925 +2023-12-11 21:50:47,176 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_116.pth was removed +2023-12-11 21:50:47,375 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2023-12-11 21:50:47,376 - pyskl - INFO - Best top1_acc is 0.9218 at 119 epoch. +2023-12-11 21:50:47,379 - pyskl - INFO - Epoch(val) [119][533] top1_acc: 0.9218, top5_acc: 0.9960, mean_class_accuracy: 0.8925 +2023-12-11 21:51:53,982 - pyskl - INFO - Epoch [120][100/1281] lr: 2.531e-03, eta: 4:24:06, time: 0.666, data_time: 0.224, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1373, loss: 1.1373 +2023-12-11 21:52:37,068 - pyskl - INFO - Epoch [120][200/1281] lr: 2.519e-03, eta: 4:23:27, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1425, loss: 1.1425 +2023-12-11 21:53:20,002 - pyskl - INFO - Epoch [120][300/1281] lr: 2.507e-03, eta: 4:22:48, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1466, loss: 1.1466 +2023-12-11 21:54:03,384 - pyskl - INFO - Epoch [120][400/1281] lr: 2.494e-03, eta: 4:22:09, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1292, loss: 1.1292 +2023-12-11 21:54:29,232 - pyskl - INFO - Epoch [120][500/1281] lr: 2.482e-03, eta: 4:21:25, time: 0.258, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1160, loss: 1.1160 +2023-12-11 21:55:12,787 - pyskl - INFO - Epoch [120][600/1281] lr: 2.470e-03, eta: 4:20:46, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1341, loss: 1.1341 +2023-12-11 21:55:41,133 - pyskl - INFO - Epoch [120][700/1281] lr: 2.458e-03, eta: 4:20:03, time: 0.283, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1301, loss: 1.1301 +2023-12-11 21:56:18,588 - pyskl - INFO - Epoch [120][800/1281] lr: 2.446e-03, eta: 4:19:23, time: 0.375, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1448, loss: 1.1448 +2023-12-11 21:57:02,024 - pyskl - INFO - Epoch [120][900/1281] lr: 2.433e-03, eta: 4:18:43, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1325, loss: 1.1325 +2023-12-11 21:57:45,594 - pyskl - INFO - Epoch [120][1000/1281] lr: 2.421e-03, eta: 4:18:04, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1481, loss: 1.1481 +2023-12-11 21:58:29,550 - pyskl - INFO - Epoch [120][1100/1281] lr: 2.409e-03, eta: 4:17:25, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1076, loss: 1.1076 +2023-12-11 21:59:12,541 - pyskl - INFO - Epoch [120][1200/1281] lr: 2.397e-03, eta: 4:16:46, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1274, loss: 1.1274 +2023-12-11 21:59:47,647 - pyskl - INFO - Saving checkpoint at 120 epochs +2023-12-11 22:01:01,072 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 22:01:01,128 - pyskl - INFO - +top1_acc 0.9221 +top5_acc 0.9958 +2023-12-11 22:01:01,129 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 22:01:01,136 - pyskl - INFO - +mean_acc 0.8929 +2023-12-11 22:01:01,140 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_119.pth was removed +2023-12-11 22:01:01,319 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. +2023-12-11 22:01:01,319 - pyskl - INFO - Best top1_acc is 0.9221 at 120 epoch. +2023-12-11 22:01:01,322 - pyskl - INFO - Epoch(val) [120][533] top1_acc: 0.9221, top5_acc: 0.9958, mean_class_accuracy: 0.8929 +2023-12-11 22:02:03,486 - pyskl - INFO - Epoch [121][100/1281] lr: 2.375e-03, eta: 4:15:31, time: 0.622, data_time: 0.185, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1100, loss: 1.1100 +2023-12-11 22:02:46,962 - pyskl - INFO - Epoch [121][200/1281] lr: 2.363e-03, eta: 4:14:52, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1337, loss: 1.1337 +2023-12-11 22:03:31,037 - pyskl - INFO - Epoch [121][300/1281] lr: 2.351e-03, eta: 4:14:13, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1365, loss: 1.1365 +2023-12-11 22:04:14,398 - pyskl - INFO - Epoch [121][400/1281] lr: 2.340e-03, eta: 4:13:34, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1242, loss: 1.1242 +2023-12-11 22:04:41,083 - pyskl - INFO - Epoch [121][500/1281] lr: 2.328e-03, eta: 4:12:50, time: 0.267, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1161, loss: 1.1161 +2023-12-11 22:05:23,650 - pyskl - INFO - Epoch [121][600/1281] lr: 2.316e-03, eta: 4:12:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1202, loss: 1.1202 +2023-12-11 22:05:53,046 - pyskl - INFO - Epoch [121][700/1281] lr: 2.304e-03, eta: 4:11:29, time: 0.294, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1385, loss: 1.1385 +2023-12-11 22:06:29,556 - pyskl - INFO - Epoch [121][800/1281] lr: 2.292e-03, eta: 4:10:48, time: 0.365, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0939, loss: 1.0939 +2023-12-11 22:07:12,036 - pyskl - INFO - Epoch [121][900/1281] lr: 2.280e-03, eta: 4:10:08, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1169, loss: 1.1169 +2023-12-11 22:07:54,549 - pyskl - INFO - Epoch [121][1000/1281] lr: 2.269e-03, eta: 4:09:29, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1475, loss: 1.1475 +2023-12-11 22:08:37,192 - pyskl - INFO - Epoch [121][1100/1281] lr: 2.257e-03, eta: 4:08:50, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1234, loss: 1.1234 +2023-12-11 22:09:21,114 - pyskl - INFO - Epoch [121][1200/1281] lr: 2.245e-03, eta: 4:08:11, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1281, loss: 1.1281 +2023-12-11 22:09:57,321 - pyskl - INFO - Saving checkpoint at 121 epochs +2023-12-11 22:11:15,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 22:11:16,059 - pyskl - INFO - +top1_acc 0.9231 +top5_acc 0.9960 +2023-12-11 22:11:16,060 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 22:11:16,068 - pyskl - INFO - +mean_acc 0.8919 +2023-12-11 22:11:16,073 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_120.pth was removed +2023-12-11 22:11:16,322 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2023-12-11 22:11:16,323 - pyskl - INFO - Best top1_acc is 0.9231 at 121 epoch. +2023-12-11 22:11:16,326 - pyskl - INFO - Epoch(val) [121][533] top1_acc: 0.9231, top5_acc: 0.9960, mean_class_accuracy: 0.8919 +2023-12-11 22:12:17,792 - pyskl - INFO - Epoch [122][100/1281] lr: 2.224e-03, eta: 4:06:55, time: 0.615, data_time: 0.188, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1087, loss: 1.1087 +2023-12-11 22:13:00,360 - pyskl - INFO - Epoch [122][200/1281] lr: 2.212e-03, eta: 4:06:16, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1174, loss: 1.1174 +2023-12-11 22:13:42,995 - pyskl - INFO - Epoch [122][300/1281] lr: 2.201e-03, eta: 4:05:37, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1280, loss: 1.1280 +2023-12-11 22:14:25,595 - pyskl - INFO - Epoch [122][400/1281] lr: 2.189e-03, eta: 4:04:57, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1193, loss: 1.1193 +2023-12-11 22:14:50,792 - pyskl - INFO - Epoch [122][500/1281] lr: 2.178e-03, eta: 4:04:14, time: 0.252, data_time: 0.001, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1215, loss: 1.1215 +2023-12-11 22:15:36,019 - pyskl - INFO - Epoch [122][600/1281] lr: 2.166e-03, eta: 4:03:35, time: 0.452, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1160, loss: 1.1160 +2023-12-11 22:16:02,553 - pyskl - INFO - Epoch [122][700/1281] lr: 2.155e-03, eta: 4:02:52, time: 0.265, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1093, loss: 1.1093 +2023-12-11 22:16:43,665 - pyskl - INFO - Epoch [122][800/1281] lr: 2.143e-03, eta: 4:02:12, time: 0.411, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1082, loss: 1.1082 +2023-12-11 22:17:27,144 - pyskl - INFO - Epoch [122][900/1281] lr: 2.132e-03, eta: 4:01:33, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1133, loss: 1.1133 +2023-12-11 22:18:10,240 - pyskl - INFO - Epoch [122][1000/1281] lr: 2.120e-03, eta: 4:00:54, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1291, loss: 1.1291 +2023-12-11 22:18:52,902 - pyskl - INFO - Epoch [122][1100/1281] lr: 2.109e-03, eta: 4:00:14, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1159, loss: 1.1159 +2023-12-11 22:19:36,272 - pyskl - INFO - Epoch [122][1200/1281] lr: 2.098e-03, eta: 3:59:35, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1300, loss: 1.1300 +2023-12-11 22:20:11,159 - pyskl - INFO - Saving checkpoint at 122 epochs +2023-12-11 22:21:24,530 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 22:21:24,587 - pyskl - INFO - +top1_acc 0.9170 +top5_acc 0.9945 +2023-12-11 22:21:24,587 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 22:21:24,595 - pyskl - INFO - +mean_acc 0.8931 +2023-12-11 22:21:24,598 - pyskl - INFO - Epoch(val) [122][533] top1_acc: 0.9170, top5_acc: 0.9945, mean_class_accuracy: 0.8931 +2023-12-11 22:22:26,172 - pyskl - INFO - Epoch [123][100/1281] lr: 2.077e-03, eta: 3:58:20, time: 0.616, data_time: 0.180, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1319, loss: 1.1319 +2023-12-11 22:23:09,560 - pyskl - INFO - Epoch [123][200/1281] lr: 2.066e-03, eta: 3:57:41, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1169, loss: 1.1169 +2023-12-11 22:23:53,482 - pyskl - INFO - Epoch [123][300/1281] lr: 2.055e-03, eta: 3:57:02, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1285, loss: 1.1285 +2023-12-11 22:24:36,665 - pyskl - INFO - Epoch [123][400/1281] lr: 2.044e-03, eta: 3:56:23, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1173, loss: 1.1173 +2023-12-11 22:25:02,132 - pyskl - INFO - Epoch [123][500/1281] lr: 2.032e-03, eta: 3:55:40, time: 0.255, data_time: 0.001, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1110, loss: 1.1110 +2023-12-11 22:25:46,246 - pyskl - INFO - Epoch [123][600/1281] lr: 2.021e-03, eta: 3:55:01, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1550, loss: 1.1550 +2023-12-11 22:26:13,988 - pyskl - INFO - Epoch [123][700/1281] lr: 2.010e-03, eta: 3:54:18, time: 0.277, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1124, loss: 1.1124 +2023-12-11 22:26:52,620 - pyskl - INFO - Epoch [123][800/1281] lr: 1.999e-03, eta: 3:53:38, time: 0.386, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1354, loss: 1.1354 +2023-12-11 22:27:36,019 - pyskl - INFO - Epoch [123][900/1281] lr: 1.988e-03, eta: 3:52:58, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1257, loss: 1.1257 +2023-12-11 22:28:19,586 - pyskl - INFO - Epoch [123][1000/1281] lr: 1.977e-03, eta: 3:52:19, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1319, loss: 1.1319 +2023-12-11 22:29:03,461 - pyskl - INFO - Epoch [123][1100/1281] lr: 1.966e-03, eta: 3:51:40, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1085, loss: 1.1085 +2023-12-11 22:29:47,271 - pyskl - INFO - Epoch [123][1200/1281] lr: 1.955e-03, eta: 3:51:01, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1247, loss: 1.1247 +2023-12-11 22:30:23,296 - pyskl - INFO - Saving checkpoint at 123 epochs +2023-12-11 22:31:39,546 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 22:31:39,606 - pyskl - INFO - +top1_acc 0.9157 +top5_acc 0.9957 +2023-12-11 22:31:39,606 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 22:31:39,614 - pyskl - INFO - +mean_acc 0.8848 +2023-12-11 22:31:39,617 - pyskl - INFO - Epoch(val) [123][533] top1_acc: 0.9157, top5_acc: 0.9957, mean_class_accuracy: 0.8848 +2023-12-11 22:32:42,109 - pyskl - INFO - Epoch [124][100/1281] lr: 1.935e-03, eta: 3:49:46, time: 0.625, data_time: 0.189, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1174, loss: 1.1174 +2023-12-11 22:33:25,988 - pyskl - INFO - Epoch [124][200/1281] lr: 1.924e-03, eta: 3:49:07, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1349, loss: 1.1349 +2023-12-11 22:34:09,830 - pyskl - INFO - Epoch [124][300/1281] lr: 1.913e-03, eta: 3:48:28, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1326, loss: 1.1326 +2023-12-11 22:34:53,350 - pyskl - INFO - Epoch [124][400/1281] lr: 1.902e-03, eta: 3:47:49, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0952, loss: 1.0952 +2023-12-11 22:35:17,972 - pyskl - INFO - Epoch [124][500/1281] lr: 1.892e-03, eta: 3:47:06, time: 0.246, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1230, loss: 1.1230 +2023-12-11 22:36:04,000 - pyskl - INFO - Epoch [124][600/1281] lr: 1.881e-03, eta: 3:46:27, time: 0.460, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1335, loss: 1.1335 +2023-12-11 22:36:30,522 - pyskl - INFO - Epoch [124][700/1281] lr: 1.870e-03, eta: 3:45:44, time: 0.265, data_time: 0.001, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1040, loss: 1.1040 +2023-12-11 22:37:10,164 - pyskl - INFO - Epoch [124][800/1281] lr: 1.859e-03, eta: 3:45:04, time: 0.396, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1140, loss: 1.1140 +2023-12-11 22:37:54,437 - pyskl - INFO - Epoch [124][900/1281] lr: 1.849e-03, eta: 3:44:25, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1109, loss: 1.1109 +2023-12-11 22:38:38,205 - pyskl - INFO - Epoch [124][1000/1281] lr: 1.838e-03, eta: 3:43:46, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1185, loss: 1.1185 +2023-12-11 22:39:21,825 - pyskl - INFO - Epoch [124][1100/1281] lr: 1.827e-03, eta: 3:43:07, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1176, loss: 1.1176 +2023-12-11 22:40:05,447 - pyskl - INFO - Epoch [124][1200/1281] lr: 1.817e-03, eta: 3:42:27, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1192, loss: 1.1192 +2023-12-11 22:40:41,426 - pyskl - INFO - Saving checkpoint at 124 epochs +2023-12-11 22:41:55,490 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 22:41:55,566 - pyskl - INFO - +top1_acc 0.9155 +top5_acc 0.9954 +2023-12-11 22:41:55,567 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 22:41:55,575 - pyskl - INFO - +mean_acc 0.8846 +2023-12-11 22:41:55,577 - pyskl - INFO - Epoch(val) [124][533] top1_acc: 0.9155, top5_acc: 0.9954, mean_class_accuracy: 0.8846 +2023-12-11 22:42:59,330 - pyskl - INFO - Epoch [125][100/1281] lr: 1.797e-03, eta: 3:41:13, time: 0.637, data_time: 0.192, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1148, loss: 1.1148 +2023-12-11 22:43:43,586 - pyskl - INFO - Epoch [125][200/1281] lr: 1.787e-03, eta: 3:40:34, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1137, loss: 1.1137 +2023-12-11 22:44:27,240 - pyskl - INFO - Epoch [125][300/1281] lr: 1.776e-03, eta: 3:39:55, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1094, loss: 1.1094 +2023-12-11 22:45:11,041 - pyskl - INFO - Epoch [125][400/1281] lr: 1.766e-03, eta: 3:39:16, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1269, loss: 1.1269 +2023-12-11 22:45:36,610 - pyskl - INFO - Epoch [125][500/1281] lr: 1.755e-03, eta: 3:38:33, time: 0.256, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1190, loss: 1.1190 +2023-12-11 22:46:21,741 - pyskl - INFO - Epoch [125][600/1281] lr: 1.745e-03, eta: 3:37:54, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1146, loss: 1.1146 +2023-12-11 22:46:47,149 - pyskl - INFO - Epoch [125][700/1281] lr: 1.735e-03, eta: 3:37:11, time: 0.254, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1080, loss: 1.1080 +2023-12-11 22:47:28,823 - pyskl - INFO - Epoch [125][800/1281] lr: 1.724e-03, eta: 3:36:31, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1296, loss: 1.1296 +2023-12-11 22:48:11,535 - pyskl - INFO - Epoch [125][900/1281] lr: 1.714e-03, eta: 3:35:52, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1204, loss: 1.1204 +2023-12-11 22:48:55,072 - pyskl - INFO - Epoch [125][1000/1281] lr: 1.704e-03, eta: 3:35:13, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0927, loss: 1.0927 +2023-12-11 22:49:38,246 - pyskl - INFO - Epoch [125][1100/1281] lr: 1.693e-03, eta: 3:34:33, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1103, loss: 1.1103 +2023-12-11 22:50:21,815 - pyskl - INFO - Epoch [125][1200/1281] lr: 1.683e-03, eta: 3:33:54, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1108, loss: 1.1108 +2023-12-11 22:50:58,373 - pyskl - INFO - Saving checkpoint at 125 epochs +2023-12-11 22:52:12,497 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 22:52:12,562 - pyskl - INFO - +top1_acc 0.9221 +top5_acc 0.9962 +2023-12-11 22:52:12,562 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 22:52:12,569 - pyskl - INFO - +mean_acc 0.8945 +2023-12-11 22:52:12,570 - pyskl - INFO - Epoch(val) [125][533] top1_acc: 0.9221, top5_acc: 0.9962, mean_class_accuracy: 0.8945 +2023-12-11 22:53:14,359 - pyskl - INFO - Epoch [126][100/1281] lr: 1.665e-03, eta: 3:32:40, time: 0.618, data_time: 0.184, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1048, loss: 1.1048 +2023-12-11 22:53:57,986 - pyskl - INFO - Epoch [126][200/1281] lr: 1.654e-03, eta: 3:32:00, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1268, loss: 1.1268 +2023-12-11 22:54:41,393 - pyskl - INFO - Epoch [126][300/1281] lr: 1.644e-03, eta: 3:31:21, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1021, loss: 1.1021 +2023-12-11 22:55:24,343 - pyskl - INFO - Epoch [126][400/1281] lr: 1.634e-03, eta: 3:30:42, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1224, loss: 1.1224 +2023-12-11 22:55:50,506 - pyskl - INFO - Epoch [126][500/1281] lr: 1.624e-03, eta: 3:29:59, time: 0.262, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1108, loss: 1.1108 +2023-12-11 22:56:36,503 - pyskl - INFO - Epoch [126][600/1281] lr: 1.614e-03, eta: 3:29:20, time: 0.460, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0971, loss: 1.0971 +2023-12-11 22:57:00,494 - pyskl - INFO - Epoch [126][700/1281] lr: 1.604e-03, eta: 3:28:37, time: 0.240, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1192, loss: 1.1192 +2023-12-11 22:57:44,043 - pyskl - INFO - Epoch [126][800/1281] lr: 1.594e-03, eta: 3:27:58, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1407, loss: 1.1407 +2023-12-11 22:58:26,521 - pyskl - INFO - Epoch [126][900/1281] lr: 1.584e-03, eta: 3:27:18, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1167, loss: 1.1167 +2023-12-11 22:59:09,469 - pyskl - INFO - Epoch [126][1000/1281] lr: 1.574e-03, eta: 3:26:39, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0995, loss: 1.0995 +2023-12-11 22:59:52,669 - pyskl - INFO - Epoch [126][1100/1281] lr: 1.564e-03, eta: 3:26:00, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1248, loss: 1.1248 +2023-12-11 23:00:35,156 - pyskl - INFO - Epoch [126][1200/1281] lr: 1.554e-03, eta: 3:25:20, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1066, loss: 1.1066 +2023-12-11 23:01:10,846 - pyskl - INFO - Saving checkpoint at 126 epochs +2023-12-11 23:02:24,641 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 23:02:24,723 - pyskl - INFO - +top1_acc 0.9269 +top5_acc 0.9961 +2023-12-11 23:02:24,723 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 23:02:24,732 - pyskl - INFO - +mean_acc 0.8991 +2023-12-11 23:02:24,737 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_121.pth was removed +2023-12-11 23:02:25,015 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. +2023-12-11 23:02:25,015 - pyskl - INFO - Best top1_acc is 0.9269 at 126 epoch. +2023-12-11 23:02:25,022 - pyskl - INFO - Epoch(val) [126][533] top1_acc: 0.9269, top5_acc: 0.9961, mean_class_accuracy: 0.8991 +2023-12-11 23:03:30,568 - pyskl - INFO - Epoch [127][100/1281] lr: 1.536e-03, eta: 3:24:07, time: 0.655, data_time: 0.217, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1152, loss: 1.1152 +2023-12-11 23:04:13,697 - pyskl - INFO - Epoch [127][200/1281] lr: 1.527e-03, eta: 3:23:27, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1163, loss: 1.1163 +2023-12-11 23:04:56,528 - pyskl - INFO - Epoch [127][300/1281] lr: 1.517e-03, eta: 3:22:48, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1014, loss: 1.1014 +2023-12-11 23:05:36,757 - pyskl - INFO - Epoch [127][400/1281] lr: 1.507e-03, eta: 3:22:08, time: 0.402, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1315, loss: 1.1315 +2023-12-11 23:06:04,260 - pyskl - INFO - Epoch [127][500/1281] lr: 1.497e-03, eta: 3:21:25, time: 0.275, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0972, loss: 1.0972 +2023-12-11 23:06:48,776 - pyskl - INFO - Epoch [127][600/1281] lr: 1.488e-03, eta: 3:20:46, time: 0.445, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1160, loss: 1.1160 +2023-12-11 23:07:11,199 - pyskl - INFO - Epoch [127][700/1281] lr: 1.478e-03, eta: 3:20:03, time: 0.224, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1034, loss: 1.1034 +2023-12-11 23:07:53,767 - pyskl - INFO - Epoch [127][800/1281] lr: 1.468e-03, eta: 3:19:24, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1256, loss: 1.1256 +2023-12-11 23:08:36,807 - pyskl - INFO - Epoch [127][900/1281] lr: 1.459e-03, eta: 3:18:44, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1019, loss: 1.1019 +2023-12-11 23:09:20,590 - pyskl - INFO - Epoch [127][1000/1281] lr: 1.449e-03, eta: 3:18:05, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1162, loss: 1.1162 +2023-12-11 23:10:04,036 - pyskl - INFO - Epoch [127][1100/1281] lr: 1.440e-03, eta: 3:17:26, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0969, loss: 1.0969 +2023-12-11 23:10:47,730 - pyskl - INFO - Epoch [127][1200/1281] lr: 1.430e-03, eta: 3:16:46, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1274, loss: 1.1274 +2023-12-11 23:11:22,809 - pyskl - INFO - Saving checkpoint at 127 epochs +2023-12-11 23:12:35,947 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 23:12:36,014 - pyskl - INFO - +top1_acc 0.9251 +top5_acc 0.9951 +2023-12-11 23:12:36,015 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 23:12:36,022 - pyskl - INFO - +mean_acc 0.9001 +2023-12-11 23:12:36,024 - pyskl - INFO - Epoch(val) [127][533] top1_acc: 0.9251, top5_acc: 0.9951, mean_class_accuracy: 0.9001 +2023-12-11 23:13:36,397 - pyskl - INFO - Epoch [128][100/1281] lr: 1.413e-03, eta: 3:15:32, time: 0.604, data_time: 0.177, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1120, loss: 1.1120 +2023-12-11 23:14:19,144 - pyskl - INFO - Epoch [128][200/1281] lr: 1.404e-03, eta: 3:14:52, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1159, loss: 1.1159 +2023-12-11 23:15:02,094 - pyskl - INFO - Epoch [128][300/1281] lr: 1.394e-03, eta: 3:14:13, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1183, loss: 1.1183 +2023-12-11 23:15:44,316 - pyskl - INFO - Epoch [128][400/1281] lr: 1.385e-03, eta: 3:13:34, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0856, loss: 1.0856 +2023-12-11 23:16:10,825 - pyskl - INFO - Epoch [128][500/1281] lr: 1.376e-03, eta: 3:12:51, time: 0.265, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1072, loss: 1.1072 +2023-12-11 23:16:56,896 - pyskl - INFO - Epoch [128][600/1281] lr: 1.366e-03, eta: 3:12:12, time: 0.461, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1075, loss: 1.1075 +2023-12-11 23:17:20,777 - pyskl - INFO - Epoch [128][700/1281] lr: 1.357e-03, eta: 3:11:30, time: 0.239, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1184, loss: 1.1184 +2023-12-11 23:18:03,125 - pyskl - INFO - Epoch [128][800/1281] lr: 1.348e-03, eta: 3:10:50, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1160, loss: 1.1160 +2023-12-11 23:18:45,737 - pyskl - INFO - Epoch [128][900/1281] lr: 1.339e-03, eta: 3:10:10, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1202, loss: 1.1202 +2023-12-11 23:19:28,431 - pyskl - INFO - Epoch [128][1000/1281] lr: 1.329e-03, eta: 3:09:31, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1278, loss: 1.1278 +2023-12-11 23:20:10,867 - pyskl - INFO - Epoch [128][1100/1281] lr: 1.320e-03, eta: 3:08:51, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1016, loss: 1.1016 +2023-12-11 23:20:54,093 - pyskl - INFO - Epoch [128][1200/1281] lr: 1.311e-03, eta: 3:08:12, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1015, loss: 1.1015 +2023-12-11 23:21:29,362 - pyskl - INFO - Saving checkpoint at 128 epochs +2023-12-11 23:22:47,700 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 23:22:47,783 - pyskl - INFO - +top1_acc 0.9250 +top5_acc 0.9955 +2023-12-11 23:22:47,783 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 23:22:47,791 - pyskl - INFO - +mean_acc 0.8941 +2023-12-11 23:22:47,793 - pyskl - INFO - Epoch(val) [128][533] top1_acc: 0.9250, top5_acc: 0.9955, mean_class_accuracy: 0.8941 +2023-12-11 23:23:53,654 - pyskl - INFO - Epoch [129][100/1281] lr: 1.295e-03, eta: 3:06:59, time: 0.659, data_time: 0.219, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1102, loss: 1.1102 +2023-12-11 23:24:37,246 - pyskl - INFO - Epoch [129][200/1281] lr: 1.286e-03, eta: 3:06:19, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1137, loss: 1.1137 +2023-12-11 23:25:20,556 - pyskl - INFO - Epoch [129][300/1281] lr: 1.277e-03, eta: 3:05:40, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1025, loss: 1.1025 +2023-12-11 23:25:57,760 - pyskl - INFO - Epoch [129][400/1281] lr: 1.268e-03, eta: 3:05:00, time: 0.372, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0998, loss: 1.0998 +2023-12-11 23:26:28,848 - pyskl - INFO - Epoch [129][500/1281] lr: 1.259e-03, eta: 3:04:18, time: 0.311, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1091, loss: 1.1091 +2023-12-11 23:27:09,772 - pyskl - INFO - Epoch [129][600/1281] lr: 1.250e-03, eta: 3:03:38, time: 0.409, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1180, loss: 1.1180 +2023-12-11 23:27:36,155 - pyskl - INFO - Epoch [129][700/1281] lr: 1.241e-03, eta: 3:02:56, time: 0.264, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1089, loss: 1.1089 +2023-12-11 23:28:19,741 - pyskl - INFO - Epoch [129][800/1281] lr: 1.232e-03, eta: 3:02:17, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1150, loss: 1.1150 +2023-12-11 23:29:02,629 - pyskl - INFO - Epoch [129][900/1281] lr: 1.223e-03, eta: 3:01:37, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1121, loss: 1.1121 +2023-12-11 23:29:46,180 - pyskl - INFO - Epoch [129][1000/1281] lr: 1.214e-03, eta: 3:00:58, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1298, loss: 1.1298 +2023-12-11 23:30:29,352 - pyskl - INFO - Epoch [129][1100/1281] lr: 1.206e-03, eta: 3:00:19, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1170, loss: 1.1170 +2023-12-11 23:31:12,095 - pyskl - INFO - Epoch [129][1200/1281] lr: 1.197e-03, eta: 2:59:39, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0771, loss: 1.0771 +2023-12-11 23:31:47,826 - pyskl - INFO - Saving checkpoint at 129 epochs +2023-12-11 23:33:01,335 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 23:33:01,401 - pyskl - INFO - +top1_acc 0.9243 +top5_acc 0.9954 +2023-12-11 23:33:01,401 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 23:33:01,409 - pyskl - INFO - +mean_acc 0.8990 +2023-12-11 23:33:01,412 - pyskl - INFO - Epoch(val) [129][533] top1_acc: 0.9243, top5_acc: 0.9954, mean_class_accuracy: 0.8990 +2023-12-11 23:34:01,662 - pyskl - INFO - Epoch [130][100/1281] lr: 1.181e-03, eta: 2:58:25, time: 0.602, data_time: 0.177, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1014, loss: 1.1014 +2023-12-11 23:34:44,672 - pyskl - INFO - Epoch [130][200/1281] lr: 1.172e-03, eta: 2:57:45, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1083, loss: 1.1083 +2023-12-11 23:35:28,285 - pyskl - INFO - Epoch [130][300/1281] lr: 1.164e-03, eta: 2:57:06, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1225, loss: 1.1225 +2023-12-11 23:36:07,868 - pyskl - INFO - Epoch [130][400/1281] lr: 1.155e-03, eta: 2:56:26, time: 0.396, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1000, loss: 1.1000 +2023-12-11 23:36:39,229 - pyskl - INFO - Epoch [130][500/1281] lr: 1.147e-03, eta: 2:55:45, time: 0.314, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0937, loss: 1.0937 +2023-12-11 23:37:21,853 - pyskl - INFO - Epoch [130][600/1281] lr: 1.138e-03, eta: 2:55:05, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1130, loss: 1.1130 +2023-12-11 23:37:47,748 - pyskl - INFO - Epoch [130][700/1281] lr: 1.130e-03, eta: 2:54:23, time: 0.259, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1010, loss: 1.1010 +2023-12-11 23:38:30,761 - pyskl - INFO - Epoch [130][800/1281] lr: 1.121e-03, eta: 2:53:44, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0986, loss: 1.0986 +2023-12-11 23:39:13,752 - pyskl - INFO - Epoch [130][900/1281] lr: 1.113e-03, eta: 2:53:04, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1219, loss: 1.1219 +2023-12-11 23:39:56,350 - pyskl - INFO - Epoch [130][1000/1281] lr: 1.104e-03, eta: 2:52:25, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0989, loss: 1.0989 +2023-12-11 23:40:39,005 - pyskl - INFO - Epoch [130][1100/1281] lr: 1.096e-03, eta: 2:51:45, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1255, loss: 1.1255 +2023-12-11 23:41:22,752 - pyskl - INFO - Epoch [130][1200/1281] lr: 1.088e-03, eta: 2:51:06, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0798, loss: 1.0798 +2023-12-11 23:41:58,433 - pyskl - INFO - Saving checkpoint at 130 epochs +2023-12-11 23:43:16,944 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 23:43:17,017 - pyskl - INFO - +top1_acc 0.9270 +top5_acc 0.9966 +2023-12-11 23:43:17,017 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 23:43:17,032 - pyskl - INFO - +mean_acc 0.8977 +2023-12-11 23:43:17,039 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_126.pth was removed +2023-12-11 23:43:17,299 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2023-12-11 23:43:17,299 - pyskl - INFO - Best top1_acc is 0.9270 at 130 epoch. +2023-12-11 23:43:17,303 - pyskl - INFO - Epoch(val) [130][533] top1_acc: 0.9270, top5_acc: 0.9966, mean_class_accuracy: 0.8977 +2023-12-11 23:44:17,973 - pyskl - INFO - Epoch [131][100/1281] lr: 1.072e-03, eta: 2:49:52, time: 0.607, data_time: 0.178, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1130, loss: 1.1130 +2023-12-11 23:45:01,538 - pyskl - INFO - Epoch [131][200/1281] lr: 1.064e-03, eta: 2:49:12, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0901, loss: 1.0901 +2023-12-11 23:45:44,668 - pyskl - INFO - Epoch [131][300/1281] lr: 1.056e-03, eta: 2:48:33, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1096, loss: 1.1096 +2023-12-11 23:46:19,411 - pyskl - INFO - Epoch [131][400/1281] lr: 1.048e-03, eta: 2:47:52, time: 0.347, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1017, loss: 1.1017 +2023-12-11 23:46:52,708 - pyskl - INFO - Epoch [131][500/1281] lr: 1.040e-03, eta: 2:47:11, time: 0.333, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1138, loss: 1.1138 +2023-12-11 23:47:31,700 - pyskl - INFO - Epoch [131][600/1281] lr: 1.031e-03, eta: 2:46:31, time: 0.390, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1017, loss: 1.1017 +2023-12-11 23:48:00,480 - pyskl - INFO - Epoch [131][700/1281] lr: 1.023e-03, eta: 2:45:49, time: 0.288, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1031, loss: 1.1031 +2023-12-11 23:48:44,171 - pyskl - INFO - Epoch [131][800/1281] lr: 1.015e-03, eta: 2:45:10, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1194, loss: 1.1194 +2023-12-11 23:49:27,490 - pyskl - INFO - Epoch [131][900/1281] lr: 1.007e-03, eta: 2:44:31, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1060, loss: 1.1060 +2023-12-11 23:50:11,851 - pyskl - INFO - Epoch [131][1000/1281] lr: 9.992e-04, eta: 2:43:51, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1031, loss: 1.1031 +2023-12-11 23:50:54,248 - pyskl - INFO - Epoch [131][1100/1281] lr: 9.912e-04, eta: 2:43:12, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1130, loss: 1.1130 +2023-12-11 23:51:36,832 - pyskl - INFO - Epoch [131][1200/1281] lr: 9.832e-04, eta: 2:42:32, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0715, loss: 1.0715 +2023-12-11 23:52:12,078 - pyskl - INFO - Saving checkpoint at 131 epochs +2023-12-11 23:53:25,668 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-11 23:53:25,743 - pyskl - INFO - +top1_acc 0.9284 +top5_acc 0.9962 +2023-12-11 23:53:25,743 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-11 23:53:25,752 - pyskl - INFO - +mean_acc 0.9018 +2023-12-11 23:53:25,758 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_130.pth was removed +2023-12-11 23:53:25,958 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2023-12-11 23:53:25,959 - pyskl - INFO - Best top1_acc is 0.9284 at 131 epoch. +2023-12-11 23:53:25,962 - pyskl - INFO - Epoch(val) [131][533] top1_acc: 0.9284, top5_acc: 0.9962, mean_class_accuracy: 0.9018 +2023-12-11 23:54:26,813 - pyskl - INFO - Epoch [132][100/1281] lr: 9.689e-04, eta: 2:41:18, time: 0.608, data_time: 0.172, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0906, loss: 1.0906 +2023-12-11 23:55:10,879 - pyskl - INFO - Epoch [132][200/1281] lr: 9.610e-04, eta: 2:40:39, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0911, loss: 1.0911 +2023-12-11 23:55:54,349 - pyskl - INFO - Epoch [132][300/1281] lr: 9.532e-04, eta: 2:39:59, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1088, loss: 1.1088 +2023-12-11 23:56:32,970 - pyskl - INFO - Epoch [132][400/1281] lr: 9.454e-04, eta: 2:39:19, time: 0.386, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0864, loss: 1.0864 +2023-12-11 23:57:04,347 - pyskl - INFO - Epoch [132][500/1281] lr: 9.376e-04, eta: 2:38:38, time: 0.314, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0995, loss: 1.0995 +2023-12-11 23:57:45,078 - pyskl - INFO - Epoch [132][600/1281] lr: 9.298e-04, eta: 2:37:58, time: 0.407, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1112, loss: 1.1112 +2023-12-11 23:58:11,823 - pyskl - INFO - Epoch [132][700/1281] lr: 9.221e-04, eta: 2:37:17, time: 0.267, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1071, loss: 1.1071 +2023-12-11 23:58:55,385 - pyskl - INFO - Epoch [132][800/1281] lr: 9.144e-04, eta: 2:36:37, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1103, loss: 1.1103 +2023-12-11 23:59:38,810 - pyskl - INFO - Epoch [132][900/1281] lr: 9.068e-04, eta: 2:35:58, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1019, loss: 1.1019 +2023-12-12 00:00:21,472 - pyskl - INFO - Epoch [132][1000/1281] lr: 8.991e-04, eta: 2:35:18, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0965, loss: 1.0965 +2023-12-12 00:01:04,380 - pyskl - INFO - Epoch [132][1100/1281] lr: 8.915e-04, eta: 2:34:39, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0891, loss: 1.0891 +2023-12-12 00:01:47,741 - pyskl - INFO - Epoch [132][1200/1281] lr: 8.840e-04, eta: 2:33:59, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0944, loss: 1.0944 +2023-12-12 00:02:23,643 - pyskl - INFO - Saving checkpoint at 132 epochs +2023-12-12 00:03:40,370 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 00:03:40,428 - pyskl - INFO - +top1_acc 0.9276 +top5_acc 0.9965 +2023-12-12 00:03:40,428 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 00:03:40,435 - pyskl - INFO - +mean_acc 0.8986 +2023-12-12 00:03:40,438 - pyskl - INFO - Epoch(val) [132][533] top1_acc: 0.9276, top5_acc: 0.9965, mean_class_accuracy: 0.8986 +2023-12-12 00:04:41,813 - pyskl - INFO - Epoch [133][100/1281] lr: 8.704e-04, eta: 2:32:45, time: 0.614, data_time: 0.181, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0874, loss: 1.0874 +2023-12-12 00:05:24,566 - pyskl - INFO - Epoch [133][200/1281] lr: 8.629e-04, eta: 2:32:06, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0997, loss: 1.0997 +2023-12-12 00:06:07,220 - pyskl - INFO - Epoch [133][300/1281] lr: 8.554e-04, eta: 2:31:26, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1146, loss: 1.1146 +2023-12-12 00:06:42,798 - pyskl - INFO - Epoch [133][400/1281] lr: 8.480e-04, eta: 2:30:46, time: 0.356, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0916, loss: 1.0916 +2023-12-12 00:07:15,975 - pyskl - INFO - Epoch [133][500/1281] lr: 8.406e-04, eta: 2:30:05, time: 0.332, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1135, loss: 1.1135 +2023-12-12 00:07:55,655 - pyskl - INFO - Epoch [133][600/1281] lr: 8.333e-04, eta: 2:29:25, time: 0.397, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0951, loss: 1.0951 +2023-12-12 00:08:24,541 - pyskl - INFO - Epoch [133][700/1281] lr: 8.260e-04, eta: 2:28:44, time: 0.289, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1024, loss: 1.1024 +2023-12-12 00:09:08,627 - pyskl - INFO - Epoch [133][800/1281] lr: 8.187e-04, eta: 2:28:04, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0780, loss: 1.0780 +2023-12-12 00:09:51,799 - pyskl - INFO - Epoch [133][900/1281] lr: 8.114e-04, eta: 2:27:25, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0938, loss: 1.0938 +2023-12-12 00:10:34,324 - pyskl - INFO - Epoch [133][1000/1281] lr: 8.042e-04, eta: 2:26:45, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1176, loss: 1.1176 +2023-12-12 00:11:16,975 - pyskl - INFO - Epoch [133][1100/1281] lr: 7.970e-04, eta: 2:26:06, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0949, loss: 1.0949 +2023-12-12 00:11:59,653 - pyskl - INFO - Epoch [133][1200/1281] lr: 7.898e-04, eta: 2:25:26, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0944, loss: 1.0944 +2023-12-12 00:12:35,037 - pyskl - INFO - Saving checkpoint at 133 epochs +2023-12-12 00:13:48,345 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 00:13:48,413 - pyskl - INFO - +top1_acc 0.9283 +top5_acc 0.9965 +2023-12-12 00:13:48,413 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 00:13:48,423 - pyskl - INFO - +mean_acc 0.9016 +2023-12-12 00:13:48,426 - pyskl - INFO - Epoch(val) [133][533] top1_acc: 0.9283, top5_acc: 0.9965, mean_class_accuracy: 0.9016 +2023-12-12 00:14:53,594 - pyskl - INFO - Epoch [134][100/1281] lr: 7.769e-04, eta: 2:24:13, time: 0.652, data_time: 0.214, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1131, loss: 1.1131 +2023-12-12 00:15:37,169 - pyskl - INFO - Epoch [134][200/1281] lr: 7.699e-04, eta: 2:23:34, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1163, loss: 1.1163 +2023-12-12 00:16:20,896 - pyskl - INFO - Epoch [134][300/1281] lr: 7.628e-04, eta: 2:22:54, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0941, loss: 1.0941 +2023-12-12 00:16:54,104 - pyskl - INFO - Epoch [134][400/1281] lr: 7.558e-04, eta: 2:22:13, time: 0.332, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1004, loss: 1.1004 +2023-12-12 00:17:29,858 - pyskl - INFO - Epoch [134][500/1281] lr: 7.488e-04, eta: 2:21:33, time: 0.358, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1055, loss: 1.1055 +2023-12-12 00:18:05,973 - pyskl - INFO - Epoch [134][600/1281] lr: 7.419e-04, eta: 2:20:52, time: 0.361, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0978, loss: 1.0978 +2023-12-12 00:18:36,830 - pyskl - INFO - Epoch [134][700/1281] lr: 7.349e-04, eta: 2:20:11, time: 0.309, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1077, loss: 1.1077 +2023-12-12 00:19:19,480 - pyskl - INFO - Epoch [134][800/1281] lr: 7.281e-04, eta: 2:19:32, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0953, loss: 1.0953 +2023-12-12 00:20:02,056 - pyskl - INFO - Epoch [134][900/1281] lr: 7.212e-04, eta: 2:18:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1059, loss: 1.1059 +2023-12-12 00:20:44,705 - pyskl - INFO - Epoch [134][1000/1281] lr: 7.144e-04, eta: 2:18:13, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0968, loss: 1.0968 +2023-12-12 00:21:28,342 - pyskl - INFO - Epoch [134][1100/1281] lr: 7.076e-04, eta: 2:17:33, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1015, loss: 1.1015 +2023-12-12 00:22:11,841 - pyskl - INFO - Epoch [134][1200/1281] lr: 7.008e-04, eta: 2:16:54, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0826, loss: 1.0826 +2023-12-12 00:22:48,423 - pyskl - INFO - Saving checkpoint at 134 epochs +2023-12-12 00:24:05,120 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 00:24:05,175 - pyskl - INFO - +top1_acc 0.9279 +top5_acc 0.9965 +2023-12-12 00:24:05,176 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 00:24:05,182 - pyskl - INFO - +mean_acc 0.8991 +2023-12-12 00:24:05,184 - pyskl - INFO - Epoch(val) [134][533] top1_acc: 0.9279, top5_acc: 0.9965, mean_class_accuracy: 0.8991 +2023-12-12 00:25:05,874 - pyskl - INFO - Epoch [135][100/1281] lr: 6.887e-04, eta: 2:15:40, time: 0.607, data_time: 0.183, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0973, loss: 1.0973 +2023-12-12 00:25:48,385 - pyskl - INFO - Epoch [135][200/1281] lr: 6.820e-04, eta: 2:15:01, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1055, loss: 1.1055 +2023-12-12 00:26:30,984 - pyskl - INFO - Epoch [135][300/1281] lr: 6.753e-04, eta: 2:14:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0763, loss: 1.0763 +2023-12-12 00:27:02,780 - pyskl - INFO - Epoch [135][400/1281] lr: 6.687e-04, eta: 2:13:40, time: 0.318, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1170, loss: 1.1170 +2023-12-12 00:27:40,727 - pyskl - INFO - Epoch [135][500/1281] lr: 6.622e-04, eta: 2:13:00, time: 0.379, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1038, loss: 1.1038 +2023-12-12 00:28:16,413 - pyskl - INFO - Epoch [135][600/1281] lr: 6.556e-04, eta: 2:12:20, time: 0.357, data_time: 0.001, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1015, loss: 1.1015 +2023-12-12 00:28:49,761 - pyskl - INFO - Epoch [135][700/1281] lr: 6.491e-04, eta: 2:11:39, time: 0.333, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1143, loss: 1.1143 +2023-12-12 00:29:32,854 - pyskl - INFO - Epoch [135][800/1281] lr: 6.426e-04, eta: 2:10:59, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0889, loss: 1.0889 +2023-12-12 00:30:15,500 - pyskl - INFO - Epoch [135][900/1281] lr: 6.362e-04, eta: 2:10:20, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1104, loss: 1.1104 +2023-12-12 00:30:58,126 - pyskl - INFO - Epoch [135][1000/1281] lr: 6.297e-04, eta: 2:09:40, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0989, loss: 1.0989 +2023-12-12 00:31:40,765 - pyskl - INFO - Epoch [135][1100/1281] lr: 6.233e-04, eta: 2:09:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1126, loss: 1.1126 +2023-12-12 00:32:23,324 - pyskl - INFO - Epoch [135][1200/1281] lr: 6.170e-04, eta: 2:08:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1074, loss: 1.1074 +2023-12-12 00:32:58,428 - pyskl - INFO - Saving checkpoint at 135 epochs +2023-12-12 00:34:12,037 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 00:34:12,096 - pyskl - INFO - +top1_acc 0.9292 +top5_acc 0.9964 +2023-12-12 00:34:12,096 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 00:34:12,103 - pyskl - INFO - +mean_acc 0.9024 +2023-12-12 00:34:12,108 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_131.pth was removed +2023-12-12 00:34:12,308 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2023-12-12 00:34:12,309 - pyskl - INFO - Best top1_acc is 0.9292 at 135 epoch. +2023-12-12 00:34:12,311 - pyskl - INFO - Epoch(val) [135][533] top1_acc: 0.9292, top5_acc: 0.9964, mean_class_accuracy: 0.9024 +2023-12-12 00:35:17,595 - pyskl - INFO - Epoch [136][100/1281] lr: 6.056e-04, eta: 2:07:08, time: 0.653, data_time: 0.214, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1062, loss: 1.1062 +2023-12-12 00:36:00,765 - pyskl - INFO - Epoch [136][200/1281] lr: 5.993e-04, eta: 2:06:28, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1111, loss: 1.1111 +2023-12-12 00:36:44,546 - pyskl - INFO - Epoch [136][300/1281] lr: 5.931e-04, eta: 2:05:49, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1190, loss: 1.1190 +2023-12-12 00:37:13,206 - pyskl - INFO - Epoch [136][400/1281] lr: 5.868e-04, eta: 2:05:08, time: 0.287, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1037, loss: 1.1037 +2023-12-12 00:37:53,578 - pyskl - INFO - Epoch [136][500/1281] lr: 5.807e-04, eta: 2:04:28, time: 0.404, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1100, loss: 1.1100 +2023-12-12 00:38:25,089 - pyskl - INFO - Epoch [136][600/1281] lr: 5.745e-04, eta: 2:03:47, time: 0.315, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1144, loss: 1.1144 +2023-12-12 00:38:59,797 - pyskl - INFO - Epoch [136][700/1281] lr: 5.684e-04, eta: 2:03:07, time: 0.347, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1072, loss: 1.1072 +2023-12-12 00:39:42,824 - pyskl - INFO - Epoch [136][800/1281] lr: 5.623e-04, eta: 2:02:27, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0988, loss: 1.0988 +2023-12-12 00:40:25,486 - pyskl - INFO - Epoch [136][900/1281] lr: 5.563e-04, eta: 2:01:47, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0966, loss: 1.0966 +2023-12-12 00:41:08,674 - pyskl - INFO - Epoch [136][1000/1281] lr: 5.503e-04, eta: 2:01:08, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0933, loss: 1.0933 +2023-12-12 00:41:52,626 - pyskl - INFO - Epoch [136][1100/1281] lr: 5.443e-04, eta: 2:00:28, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0844, loss: 1.0844 +2023-12-12 00:42:36,203 - pyskl - INFO - Epoch [136][1200/1281] lr: 5.384e-04, eta: 1:59:49, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1208, loss: 1.1208 +2023-12-12 00:43:11,395 - pyskl - INFO - Saving checkpoint at 136 epochs +2023-12-12 00:44:24,976 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 00:44:25,040 - pyskl - INFO - +top1_acc 0.9296 +top5_acc 0.9959 +2023-12-12 00:44:25,041 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 00:44:25,051 - pyskl - INFO - +mean_acc 0.9020 +2023-12-12 00:44:25,056 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_135.pth was removed +2023-12-12 00:44:25,307 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. +2023-12-12 00:44:25,307 - pyskl - INFO - Best top1_acc is 0.9296 at 136 epoch. +2023-12-12 00:44:25,310 - pyskl - INFO - Epoch(val) [136][533] top1_acc: 0.9296, top5_acc: 0.9959, mean_class_accuracy: 0.9020 +2023-12-12 00:45:25,604 - pyskl - INFO - Epoch [137][100/1281] lr: 5.277e-04, eta: 1:58:35, time: 0.603, data_time: 0.178, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0664, loss: 1.0664 +2023-12-12 00:46:08,575 - pyskl - INFO - Epoch [137][200/1281] lr: 5.218e-04, eta: 1:57:56, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1012, loss: 1.1012 +2023-12-12 00:46:51,312 - pyskl - INFO - Epoch [137][300/1281] lr: 5.160e-04, eta: 1:57:16, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0875, loss: 1.0875 +2023-12-12 00:47:22,845 - pyskl - INFO - Epoch [137][400/1281] lr: 5.102e-04, eta: 1:56:35, time: 0.315, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0960, loss: 1.0960 +2023-12-12 00:48:01,878 - pyskl - INFO - Epoch [137][500/1281] lr: 5.044e-04, eta: 1:55:55, time: 0.390, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1189, loss: 1.1189 +2023-12-12 00:48:36,643 - pyskl - INFO - Epoch [137][600/1281] lr: 4.987e-04, eta: 1:55:15, time: 0.348, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0904, loss: 1.0904 +2023-12-12 00:49:10,312 - pyskl - INFO - Epoch [137][700/1281] lr: 4.930e-04, eta: 1:54:35, time: 0.337, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0980, loss: 1.0980 +2023-12-12 00:49:53,012 - pyskl - INFO - Epoch [137][800/1281] lr: 4.873e-04, eta: 1:53:55, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0854, loss: 1.0854 +2023-12-12 00:50:35,632 - pyskl - INFO - Epoch [137][900/1281] lr: 4.817e-04, eta: 1:53:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0929, loss: 1.0929 +2023-12-12 00:51:18,228 - pyskl - INFO - Epoch [137][1000/1281] lr: 4.761e-04, eta: 1:52:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0949, loss: 1.0949 +2023-12-12 00:52:00,720 - pyskl - INFO - Epoch [137][1100/1281] lr: 4.705e-04, eta: 1:51:56, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0811, loss: 1.0811 +2023-12-12 00:52:43,544 - pyskl - INFO - Epoch [137][1200/1281] lr: 4.650e-04, eta: 1:51:16, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0988, loss: 1.0988 +2023-12-12 00:53:19,199 - pyskl - INFO - Saving checkpoint at 137 epochs +2023-12-12 00:54:37,148 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 00:54:37,231 - pyskl - INFO - +top1_acc 0.9295 +top5_acc 0.9961 +2023-12-12 00:54:37,231 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 00:54:37,247 - pyskl - INFO - +mean_acc 0.9025 +2023-12-12 00:54:37,254 - pyskl - INFO - Epoch(val) [137][533] top1_acc: 0.9295, top5_acc: 0.9961, mean_class_accuracy: 0.9025 +2023-12-12 00:55:42,496 - pyskl - INFO - Epoch [138][100/1281] lr: 4.550e-04, eta: 1:50:04, time: 0.652, data_time: 0.215, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1171, loss: 1.1171 +2023-12-12 00:56:26,273 - pyskl - INFO - Epoch [138][200/1281] lr: 4.496e-04, eta: 1:49:24, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0881, loss: 1.0881 +2023-12-12 00:57:09,811 - pyskl - INFO - Epoch [138][300/1281] lr: 4.442e-04, eta: 1:48:44, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0672, loss: 1.0672 +2023-12-12 00:57:34,904 - pyskl - INFO - Epoch [138][400/1281] lr: 4.388e-04, eta: 1:48:03, time: 0.251, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1057, loss: 1.1057 +2023-12-12 00:58:19,545 - pyskl - INFO - Epoch [138][500/1281] lr: 4.334e-04, eta: 1:47:24, time: 0.446, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0876, loss: 1.0876 +2023-12-12 00:58:46,894 - pyskl - INFO - Epoch [138][600/1281] lr: 4.281e-04, eta: 1:46:43, time: 0.274, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0967, loss: 1.0967 +2023-12-12 00:59:26,145 - pyskl - INFO - Epoch [138][700/1281] lr: 4.228e-04, eta: 1:46:03, time: 0.392, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1060, loss: 1.1060 +2023-12-12 01:00:09,088 - pyskl - INFO - Epoch [138][800/1281] lr: 4.176e-04, eta: 1:45:23, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1130, loss: 1.1130 +2023-12-12 01:00:52,222 - pyskl - INFO - Epoch [138][900/1281] lr: 4.124e-04, eta: 1:44:44, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0931, loss: 1.0931 +2023-12-12 01:01:35,843 - pyskl - INFO - Epoch [138][1000/1281] lr: 4.072e-04, eta: 1:44:04, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0955, loss: 1.0955 +2023-12-12 01:02:19,430 - pyskl - INFO - Epoch [138][1100/1281] lr: 4.020e-04, eta: 1:43:24, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0902, loss: 1.0902 +2023-12-12 01:03:03,003 - pyskl - INFO - Epoch [138][1200/1281] lr: 3.969e-04, eta: 1:42:45, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1187, loss: 1.1187 +2023-12-12 01:03:38,251 - pyskl - INFO - Saving checkpoint at 138 epochs +2023-12-12 01:04:51,005 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 01:04:51,062 - pyskl - INFO - +top1_acc 0.9284 +top5_acc 0.9966 +2023-12-12 01:04:51,063 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 01:04:51,070 - pyskl - INFO - +mean_acc 0.9016 +2023-12-12 01:04:51,072 - pyskl - INFO - Epoch(val) [138][533] top1_acc: 0.9284, top5_acc: 0.9966, mean_class_accuracy: 0.9016 +2023-12-12 01:05:51,321 - pyskl - INFO - Epoch [139][100/1281] lr: 3.877e-04, eta: 1:41:32, time: 0.602, data_time: 0.176, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0904, loss: 1.0904 +2023-12-12 01:06:33,822 - pyskl - INFO - Epoch [139][200/1281] lr: 3.827e-04, eta: 1:40:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0825, loss: 1.0825 +2023-12-12 01:07:16,590 - pyskl - INFO - Epoch [139][300/1281] lr: 3.777e-04, eta: 1:40:12, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0978, loss: 1.0978 +2023-12-12 01:07:43,788 - pyskl - INFO - Epoch [139][400/1281] lr: 3.727e-04, eta: 1:39:31, time: 0.272, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0882, loss: 1.0882 +2023-12-12 01:08:28,106 - pyskl - INFO - Epoch [139][500/1281] lr: 3.678e-04, eta: 1:38:52, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0766, loss: 1.0766 +2023-12-12 01:08:57,383 - pyskl - INFO - Epoch [139][600/1281] lr: 3.628e-04, eta: 1:38:11, time: 0.293, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0941, loss: 1.0941 +2023-12-12 01:09:35,138 - pyskl - INFO - Epoch [139][700/1281] lr: 3.580e-04, eta: 1:37:31, time: 0.378, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0933, loss: 1.0933 +2023-12-12 01:10:17,891 - pyskl - INFO - Epoch [139][800/1281] lr: 3.531e-04, eta: 1:36:51, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0916, loss: 1.0916 +2023-12-12 01:11:01,471 - pyskl - INFO - Epoch [139][900/1281] lr: 3.483e-04, eta: 1:36:12, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0964, loss: 1.0964 +2023-12-12 01:11:44,448 - pyskl - INFO - Epoch [139][1000/1281] lr: 3.436e-04, eta: 1:35:32, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1072, loss: 1.1072 +2023-12-12 01:12:27,008 - pyskl - INFO - Epoch [139][1100/1281] lr: 3.388e-04, eta: 1:34:52, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0858, loss: 1.0858 +2023-12-12 01:13:09,638 - pyskl - INFO - Epoch [139][1200/1281] lr: 3.341e-04, eta: 1:34:13, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0830, loss: 1.0830 +2023-12-12 01:13:44,705 - pyskl - INFO - Saving checkpoint at 139 epochs +2023-12-12 01:15:02,815 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 01:15:02,887 - pyskl - INFO - +top1_acc 0.9285 +top5_acc 0.9964 +2023-12-12 01:15:02,887 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 01:15:02,903 - pyskl - INFO - +mean_acc 0.9007 +2023-12-12 01:15:02,907 - pyskl - INFO - Epoch(val) [139][533] top1_acc: 0.9285, top5_acc: 0.9964, mean_class_accuracy: 0.9007 +2023-12-12 01:16:08,917 - pyskl - INFO - Epoch [140][100/1281] lr: 3.257e-04, eta: 1:33:00, time: 0.660, data_time: 0.222, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0943, loss: 1.0943 +2023-12-12 01:16:52,048 - pyskl - INFO - Epoch [140][200/1281] lr: 3.210e-04, eta: 1:32:20, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1015, loss: 1.1015 +2023-12-12 01:17:34,724 - pyskl - INFO - Epoch [140][300/1281] lr: 3.165e-04, eta: 1:31:41, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0717, loss: 1.0717 +2023-12-12 01:18:00,042 - pyskl - INFO - Epoch [140][400/1281] lr: 3.119e-04, eta: 1:31:00, time: 0.253, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0975, loss: 1.0975 +2023-12-12 01:18:44,765 - pyskl - INFO - Epoch [140][500/1281] lr: 3.074e-04, eta: 1:30:20, time: 0.447, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0828, loss: 1.0828 +2023-12-12 01:19:07,964 - pyskl - INFO - Epoch [140][600/1281] lr: 3.029e-04, eta: 1:29:39, time: 0.232, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1126, loss: 1.1126 +2023-12-12 01:19:49,936 - pyskl - INFO - Epoch [140][700/1281] lr: 2.984e-04, eta: 1:28:59, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1024, loss: 1.1024 +2023-12-12 01:20:32,950 - pyskl - INFO - Epoch [140][800/1281] lr: 2.940e-04, eta: 1:28:20, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0915, loss: 1.0915 +2023-12-12 01:21:16,837 - pyskl - INFO - Epoch [140][900/1281] lr: 2.896e-04, eta: 1:27:40, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1190, loss: 1.1190 +2023-12-12 01:22:00,476 - pyskl - INFO - Epoch [140][1000/1281] lr: 2.853e-04, eta: 1:27:01, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1021, loss: 1.1021 +2023-12-12 01:22:44,157 - pyskl - INFO - Epoch [140][1100/1281] lr: 2.809e-04, eta: 1:26:21, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0875, loss: 1.0875 +2023-12-12 01:23:27,729 - pyskl - INFO - Epoch [140][1200/1281] lr: 2.767e-04, eta: 1:25:41, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0915, loss: 1.0915 +2023-12-12 01:24:02,970 - pyskl - INFO - Saving checkpoint at 140 epochs +2023-12-12 01:25:16,620 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 01:25:16,685 - pyskl - INFO - +top1_acc 0.9295 +top5_acc 0.9966 +2023-12-12 01:25:16,685 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 01:25:16,695 - pyskl - INFO - +mean_acc 0.9017 +2023-12-12 01:25:16,698 - pyskl - INFO - Epoch(val) [140][533] top1_acc: 0.9295, top5_acc: 0.9966, mean_class_accuracy: 0.9017 +2023-12-12 01:26:17,675 - pyskl - INFO - Epoch [141][100/1281] lr: 2.690e-04, eta: 1:24:28, time: 0.610, data_time: 0.174, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0867, loss: 1.0867 +2023-12-12 01:27:01,335 - pyskl - INFO - Epoch [141][200/1281] lr: 2.648e-04, eta: 1:23:49, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1092, loss: 1.1092 +2023-12-12 01:27:44,463 - pyskl - INFO - Epoch [141][300/1281] lr: 2.606e-04, eta: 1:23:09, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1061, loss: 1.1061 +2023-12-12 01:28:08,902 - pyskl - INFO - Epoch [141][400/1281] lr: 2.565e-04, eta: 1:22:28, time: 0.244, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1081, loss: 1.1081 +2023-12-12 01:28:54,682 - pyskl - INFO - Epoch [141][500/1281] lr: 2.524e-04, eta: 1:21:49, time: 0.458, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1108, loss: 1.1108 +2023-12-12 01:29:20,086 - pyskl - INFO - Epoch [141][600/1281] lr: 2.483e-04, eta: 1:21:08, time: 0.254, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0928, loss: 1.0928 +2023-12-12 01:30:00,856 - pyskl - INFO - Epoch [141][700/1281] lr: 2.443e-04, eta: 1:20:28, time: 0.408, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1284, loss: 1.1284 +2023-12-12 01:30:43,914 - pyskl - INFO - Epoch [141][800/1281] lr: 2.402e-04, eta: 1:19:48, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0942, loss: 1.0942 +2023-12-12 01:31:27,087 - pyskl - INFO - Epoch [141][900/1281] lr: 2.363e-04, eta: 1:19:09, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1003, loss: 1.1003 +2023-12-12 01:32:10,004 - pyskl - INFO - Epoch [141][1000/1281] lr: 2.323e-04, eta: 1:18:29, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0919, loss: 1.0919 +2023-12-12 01:32:52,899 - pyskl - INFO - Epoch [141][1100/1281] lr: 2.284e-04, eta: 1:17:49, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0690, loss: 1.0690 +2023-12-12 01:33:36,536 - pyskl - INFO - Epoch [141][1200/1281] lr: 2.246e-04, eta: 1:17:10, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0959, loss: 1.0959 +2023-12-12 01:34:13,178 - pyskl - INFO - Saving checkpoint at 141 epochs +2023-12-12 01:35:31,080 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 01:35:31,141 - pyskl - INFO - +top1_acc 0.9308 +top5_acc 0.9965 +2023-12-12 01:35:31,142 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 01:35:31,149 - pyskl - INFO - +mean_acc 0.9058 +2023-12-12 01:35:31,153 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_136.pth was removed +2023-12-12 01:35:31,338 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. +2023-12-12 01:35:31,338 - pyskl - INFO - Best top1_acc is 0.9308 at 141 epoch. +2023-12-12 01:35:31,341 - pyskl - INFO - Epoch(val) [141][533] top1_acc: 0.9308, top5_acc: 0.9965, mean_class_accuracy: 0.9058 +2023-12-12 01:36:32,688 - pyskl - INFO - Epoch [142][100/1281] lr: 2.176e-04, eta: 1:15:57, time: 0.613, data_time: 0.178, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0885, loss: 1.0885 +2023-12-12 01:37:16,163 - pyskl - INFO - Epoch [142][200/1281] lr: 2.139e-04, eta: 1:15:17, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0993, loss: 1.0993 +2023-12-12 01:37:57,564 - pyskl - INFO - Epoch [142][300/1281] lr: 2.101e-04, eta: 1:14:37, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0838, loss: 1.0838 +2023-12-12 01:38:23,897 - pyskl - INFO - Epoch [142][400/1281] lr: 2.064e-04, eta: 1:13:57, time: 0.263, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0701, loss: 1.0701 +2023-12-12 01:39:08,766 - pyskl - INFO - Epoch [142][500/1281] lr: 2.027e-04, eta: 1:13:17, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1098, loss: 1.1098 +2023-12-12 01:39:32,679 - pyskl - INFO - Epoch [142][600/1281] lr: 1.991e-04, eta: 1:12:36, time: 0.239, data_time: 0.002, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1107, loss: 1.1107 +2023-12-12 01:40:16,500 - pyskl - INFO - Epoch [142][700/1281] lr: 1.954e-04, eta: 1:11:57, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1011, loss: 1.1011 +2023-12-12 01:41:00,241 - pyskl - INFO - Epoch [142][800/1281] lr: 1.919e-04, eta: 1:11:17, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1080, loss: 1.1080 +2023-12-12 01:41:44,112 - pyskl - INFO - Epoch [142][900/1281] lr: 1.883e-04, eta: 1:10:37, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0841, loss: 1.0841 +2023-12-12 01:42:27,525 - pyskl - INFO - Epoch [142][1000/1281] lr: 1.848e-04, eta: 1:09:58, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0982, loss: 1.0982 +2023-12-12 01:43:10,494 - pyskl - INFO - Epoch [142][1100/1281] lr: 1.813e-04, eta: 1:09:18, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0855, loss: 1.0855 +2023-12-12 01:43:53,209 - pyskl - INFO - Epoch [142][1200/1281] lr: 1.779e-04, eta: 1:08:38, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0911, loss: 1.0911 +2023-12-12 01:44:28,344 - pyskl - INFO - Saving checkpoint at 142 epochs +2023-12-12 01:45:41,932 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 01:45:41,987 - pyskl - INFO - +top1_acc 0.9298 +top5_acc 0.9964 +2023-12-12 01:45:41,987 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 01:45:41,993 - pyskl - INFO - +mean_acc 0.9034 +2023-12-12 01:45:41,995 - pyskl - INFO - Epoch(val) [142][533] top1_acc: 0.9298, top5_acc: 0.9964, mean_class_accuracy: 0.9034 +2023-12-12 01:46:47,747 - pyskl - INFO - Epoch [143][100/1281] lr: 1.717e-04, eta: 1:07:26, time: 0.657, data_time: 0.223, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1079, loss: 1.1079 +2023-12-12 01:47:31,541 - pyskl - INFO - Epoch [143][200/1281] lr: 1.683e-04, eta: 1:06:46, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1003, loss: 1.1003 +2023-12-12 01:48:11,438 - pyskl - INFO - Epoch [143][300/1281] lr: 1.650e-04, eta: 1:06:06, time: 0.399, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0929, loss: 1.0929 +2023-12-12 01:48:41,835 - pyskl - INFO - Epoch [143][400/1281] lr: 1.617e-04, eta: 1:05:26, time: 0.304, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0874, loss: 1.0874 +2023-12-12 01:49:24,962 - pyskl - INFO - Epoch [143][500/1281] lr: 1.585e-04, eta: 1:04:46, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0913, loss: 1.0913 +2023-12-12 01:49:49,368 - pyskl - INFO - Epoch [143][600/1281] lr: 1.552e-04, eta: 1:04:05, time: 0.244, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0756, loss: 1.0756 +2023-12-12 01:50:32,602 - pyskl - INFO - Epoch [143][700/1281] lr: 1.520e-04, eta: 1:03:26, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0966, loss: 1.0966 +2023-12-12 01:51:16,131 - pyskl - INFO - Epoch [143][800/1281] lr: 1.489e-04, eta: 1:02:46, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1082, loss: 1.1082 +2023-12-12 01:51:59,675 - pyskl - INFO - Epoch [143][900/1281] lr: 1.457e-04, eta: 1:02:06, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0812, loss: 1.0812 +2023-12-12 01:52:43,408 - pyskl - INFO - Epoch [143][1000/1281] lr: 1.426e-04, eta: 1:01:27, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0864, loss: 1.0864 +2023-12-12 01:53:26,775 - pyskl - INFO - Epoch [143][1100/1281] lr: 1.396e-04, eta: 1:00:47, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0993, loss: 1.0993 +2023-12-12 01:54:10,648 - pyskl - INFO - Epoch [143][1200/1281] lr: 1.366e-04, eta: 1:00:07, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1008, loss: 1.1008 +2023-12-12 01:54:46,374 - pyskl - INFO - Saving checkpoint at 143 epochs +2023-12-12 01:56:02,793 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 01:56:02,849 - pyskl - INFO - +top1_acc 0.9298 +top5_acc 0.9960 +2023-12-12 01:56:02,849 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 01:56:02,856 - pyskl - INFO - +mean_acc 0.9027 +2023-12-12 01:56:02,858 - pyskl - INFO - Epoch(val) [143][533] top1_acc: 0.9298, top5_acc: 0.9960, mean_class_accuracy: 0.9027 +2023-12-12 01:57:02,779 - pyskl - INFO - Epoch [144][100/1281] lr: 1.312e-04, eta: 0:58:55, time: 0.599, data_time: 0.172, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0978, loss: 1.0978 +2023-12-12 01:57:45,263 - pyskl - INFO - Epoch [144][200/1281] lr: 1.282e-04, eta: 0:58:15, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0877, loss: 1.0877 +2023-12-12 01:58:23,072 - pyskl - INFO - Epoch [144][300/1281] lr: 1.253e-04, eta: 0:57:35, time: 0.378, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0823, loss: 1.0823 +2023-12-12 01:58:53,218 - pyskl - INFO - Epoch [144][400/1281] lr: 1.224e-04, eta: 0:56:55, time: 0.301, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1215, loss: 1.1215 +2023-12-12 01:59:35,824 - pyskl - INFO - Epoch [144][500/1281] lr: 1.196e-04, eta: 0:56:15, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1012, loss: 1.1012 +2023-12-12 02:00:01,770 - pyskl - INFO - Epoch [144][600/1281] lr: 1.168e-04, eta: 0:55:34, time: 0.259, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0885, loss: 1.0885 +2023-12-12 02:00:45,018 - pyskl - INFO - Epoch [144][700/1281] lr: 1.140e-04, eta: 0:54:55, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1033, loss: 1.1033 +2023-12-12 02:01:28,629 - pyskl - INFO - Epoch [144][800/1281] lr: 1.113e-04, eta: 0:54:15, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1022, loss: 1.1022 +2023-12-12 02:02:11,351 - pyskl - INFO - Epoch [144][900/1281] lr: 1.086e-04, eta: 0:53:35, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0923, loss: 1.0923 +2023-12-12 02:02:54,509 - pyskl - INFO - Epoch [144][1000/1281] lr: 1.059e-04, eta: 0:52:55, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0918, loss: 1.0918 +2023-12-12 02:03:38,077 - pyskl - INFO - Epoch [144][1100/1281] lr: 1.033e-04, eta: 0:52:16, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0851, loss: 1.0851 +2023-12-12 02:04:20,728 - pyskl - INFO - Epoch [144][1200/1281] lr: 1.007e-04, eta: 0:51:36, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1082, loss: 1.1082 +2023-12-12 02:04:55,805 - pyskl - INFO - Saving checkpoint at 144 epochs +2023-12-12 02:06:13,567 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 02:06:13,631 - pyskl - INFO - +top1_acc 0.9303 +top5_acc 0.9960 +2023-12-12 02:06:13,631 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 02:06:13,651 - pyskl - INFO - +mean_acc 0.9048 +2023-12-12 02:06:13,657 - pyskl - INFO - Epoch(val) [144][533] top1_acc: 0.9303, top5_acc: 0.9960, mean_class_accuracy: 0.9048 +2023-12-12 02:07:19,434 - pyskl - INFO - Epoch [145][100/1281] lr: 9.605e-05, eta: 0:50:24, time: 0.658, data_time: 0.217, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1019, loss: 1.1019 +2023-12-12 02:08:02,884 - pyskl - INFO - Epoch [145][200/1281] lr: 9.353e-05, eta: 0:49:44, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1078, loss: 1.1078 +2023-12-12 02:08:37,266 - pyskl - INFO - Epoch [145][300/1281] lr: 9.106e-05, eta: 0:49:04, time: 0.344, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0803, loss: 1.0803 +2023-12-12 02:09:10,407 - pyskl - INFO - Epoch [145][400/1281] lr: 8.861e-05, eta: 0:48:24, time: 0.331, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0791, loss: 1.0791 +2023-12-12 02:09:49,070 - pyskl - INFO - Epoch [145][500/1281] lr: 8.620e-05, eta: 0:47:44, time: 0.387, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0947, loss: 1.0947 +2023-12-12 02:10:17,492 - pyskl - INFO - Epoch [145][600/1281] lr: 8.382e-05, eta: 0:47:03, time: 0.284, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0813, loss: 1.0813 +2023-12-12 02:11:00,169 - pyskl - INFO - Epoch [145][700/1281] lr: 8.147e-05, eta: 0:46:24, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0961, loss: 1.0961 +2023-12-12 02:11:42,788 - pyskl - INFO - Epoch [145][800/1281] lr: 7.916e-05, eta: 0:45:44, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1104, loss: 1.1104 +2023-12-12 02:12:25,501 - pyskl - INFO - Epoch [145][900/1281] lr: 7.688e-05, eta: 0:45:04, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0936, loss: 1.0936 +2023-12-12 02:13:08,170 - pyskl - INFO - Epoch [145][1000/1281] lr: 7.463e-05, eta: 0:44:24, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1110, loss: 1.1110 +2023-12-12 02:13:50,756 - pyskl - INFO - Epoch [145][1100/1281] lr: 7.242e-05, eta: 0:43:45, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1139, loss: 1.1139 +2023-12-12 02:14:33,601 - pyskl - INFO - Epoch [145][1200/1281] lr: 7.024e-05, eta: 0:43:05, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0852, loss: 1.0852 +2023-12-12 02:15:09,607 - pyskl - INFO - Saving checkpoint at 145 epochs +2023-12-12 02:16:23,758 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 02:16:23,821 - pyskl - INFO - +top1_acc 0.9303 +top5_acc 0.9965 +2023-12-12 02:16:23,821 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 02:16:23,832 - pyskl - INFO - +mean_acc 0.9042 +2023-12-12 02:16:23,834 - pyskl - INFO - Epoch(val) [145][533] top1_acc: 0.9303, top5_acc: 0.9965, mean_class_accuracy: 0.9042 +2023-12-12 02:17:24,909 - pyskl - INFO - Epoch [146][100/1281] lr: 6.638e-05, eta: 0:41:52, time: 0.611, data_time: 0.181, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0963, loss: 1.0963 +2023-12-12 02:18:08,849 - pyskl - INFO - Epoch [146][200/1281] lr: 6.429e-05, eta: 0:41:13, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1007, loss: 1.1007 +2023-12-12 02:18:45,537 - pyskl - INFO - Epoch [146][300/1281] lr: 6.224e-05, eta: 0:40:33, time: 0.367, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0803, loss: 1.0803 +2023-12-12 02:19:19,612 - pyskl - INFO - Epoch [146][400/1281] lr: 6.022e-05, eta: 0:39:53, time: 0.341, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1040, loss: 1.1040 +2023-12-12 02:19:59,086 - pyskl - INFO - Epoch [146][500/1281] lr: 5.823e-05, eta: 0:39:13, time: 0.395, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0826, loss: 1.0826 +2023-12-12 02:20:27,327 - pyskl - INFO - Epoch [146][600/1281] lr: 5.628e-05, eta: 0:38:33, time: 0.282, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1073, loss: 1.1073 +2023-12-12 02:21:10,430 - pyskl - INFO - Epoch [146][700/1281] lr: 5.436e-05, eta: 0:37:53, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0904, loss: 1.0904 +2023-12-12 02:21:53,852 - pyskl - INFO - Epoch [146][800/1281] lr: 5.247e-05, eta: 0:37:13, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0908, loss: 1.0908 +2023-12-12 02:22:37,312 - pyskl - INFO - Epoch [146][900/1281] lr: 5.061e-05, eta: 0:36:33, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0749, loss: 1.0749 +2023-12-12 02:23:21,525 - pyskl - INFO - Epoch [146][1000/1281] lr: 4.879e-05, eta: 0:35:54, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0773, loss: 1.0773 +2023-12-12 02:24:04,486 - pyskl - INFO - Epoch [146][1100/1281] lr: 4.701e-05, eta: 0:35:14, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0929, loss: 1.0929 +2023-12-12 02:24:47,605 - pyskl - INFO - Epoch [146][1200/1281] lr: 4.525e-05, eta: 0:34:34, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0748, loss: 1.0748 +2023-12-12 02:25:23,247 - pyskl - INFO - Saving checkpoint at 146 epochs +2023-12-12 02:26:36,710 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 02:26:36,778 - pyskl - INFO - +top1_acc 0.9291 +top5_acc 0.9967 +2023-12-12 02:26:36,778 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 02:26:36,786 - pyskl - INFO - +mean_acc 0.9049 +2023-12-12 02:26:36,788 - pyskl - INFO - Epoch(val) [146][533] top1_acc: 0.9291, top5_acc: 0.9967, mean_class_accuracy: 0.9049 +2023-12-12 02:27:38,605 - pyskl - INFO - Epoch [147][100/1281] lr: 4.216e-05, eta: 0:33:22, time: 0.618, data_time: 0.181, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1116, loss: 1.1116 +2023-12-12 02:28:22,184 - pyskl - INFO - Epoch [147][200/1281] lr: 4.050e-05, eta: 0:32:42, time: 0.436, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0875, loss: 1.0875 +2023-12-12 02:28:59,413 - pyskl - INFO - Epoch [147][300/1281] lr: 3.887e-05, eta: 0:32:02, time: 0.372, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0815, loss: 1.0815 +2023-12-12 02:29:30,973 - pyskl - INFO - Epoch [147][400/1281] lr: 3.728e-05, eta: 0:31:22, time: 0.316, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1072, loss: 1.1072 +2023-12-12 02:30:11,738 - pyskl - INFO - Epoch [147][500/1281] lr: 3.572e-05, eta: 0:30:42, time: 0.408, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0821, loss: 1.0821 +2023-12-12 02:30:38,295 - pyskl - INFO - Epoch [147][600/1281] lr: 3.419e-05, eta: 0:30:02, time: 0.266, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1048, loss: 1.1048 +2023-12-12 02:31:21,181 - pyskl - INFO - Epoch [147][700/1281] lr: 3.270e-05, eta: 0:29:22, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1073, loss: 1.1073 +2023-12-12 02:32:04,342 - pyskl - INFO - Epoch [147][800/1281] lr: 3.124e-05, eta: 0:28:42, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1151, loss: 1.1151 +2023-12-12 02:32:47,569 - pyskl - INFO - Epoch [147][900/1281] lr: 2.981e-05, eta: 0:28:03, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0796, loss: 1.0796 +2023-12-12 02:33:30,739 - pyskl - INFO - Epoch [147][1000/1281] lr: 2.842e-05, eta: 0:27:23, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0922, loss: 1.0922 +2023-12-12 02:34:13,768 - pyskl - INFO - Epoch [147][1100/1281] lr: 2.706e-05, eta: 0:26:43, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0905, loss: 1.0905 +2023-12-12 02:34:56,460 - pyskl - INFO - Epoch [147][1200/1281] lr: 2.573e-05, eta: 0:26:03, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1054, loss: 1.1054 +2023-12-12 02:35:31,795 - pyskl - INFO - Saving checkpoint at 147 epochs +2023-12-12 02:36:46,977 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 02:36:47,042 - pyskl - INFO - +top1_acc 0.9289 +top5_acc 0.9964 +2023-12-12 02:36:47,042 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 02:36:47,053 - pyskl - INFO - +mean_acc 0.9022 +2023-12-12 02:36:47,056 - pyskl - INFO - Epoch(val) [147][533] top1_acc: 0.9289, top5_acc: 0.9964, mean_class_accuracy: 0.9022 +2023-12-12 02:37:50,637 - pyskl - INFO - Epoch [148][100/1281] lr: 2.341e-05, eta: 0:24:51, time: 0.636, data_time: 0.204, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0871, loss: 1.0871 +2023-12-12 02:38:33,648 - pyskl - INFO - Epoch [148][200/1281] lr: 2.218e-05, eta: 0:24:11, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0905, loss: 1.0905 +2023-12-12 02:39:12,191 - pyskl - INFO - Epoch [148][300/1281] lr: 2.098e-05, eta: 0:23:31, time: 0.385, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0988, loss: 1.0988 +2023-12-12 02:39:41,229 - pyskl - INFO - Epoch [148][400/1281] lr: 1.981e-05, eta: 0:22:51, time: 0.290, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1026, loss: 1.1026 +2023-12-12 02:40:24,482 - pyskl - INFO - Epoch [148][500/1281] lr: 1.868e-05, eta: 0:22:12, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1007, loss: 1.1007 +2023-12-12 02:40:49,205 - pyskl - INFO - Epoch [148][600/1281] lr: 1.758e-05, eta: 0:21:31, time: 0.247, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0950, loss: 1.0950 +2023-12-12 02:41:32,510 - pyskl - INFO - Epoch [148][700/1281] lr: 1.651e-05, eta: 0:20:52, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0833, loss: 1.0833 +2023-12-12 02:42:15,620 - pyskl - INFO - Epoch [148][800/1281] lr: 1.548e-05, eta: 0:20:12, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0785, loss: 1.0785 +2023-12-12 02:42:59,289 - pyskl - INFO - Epoch [148][900/1281] lr: 1.448e-05, eta: 0:19:32, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1087, loss: 1.1087 +2023-12-12 02:43:41,792 - pyskl - INFO - Epoch [148][1000/1281] lr: 1.351e-05, eta: 0:18:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1137, loss: 1.1137 +2023-12-12 02:44:24,438 - pyskl - INFO - Epoch [148][1100/1281] lr: 1.258e-05, eta: 0:18:12, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0881, loss: 1.0881 +2023-12-12 02:45:07,320 - pyskl - INFO - Epoch [148][1200/1281] lr: 1.168e-05, eta: 0:17:33, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1042, loss: 1.1042 +2023-12-12 02:45:42,549 - pyskl - INFO - Saving checkpoint at 148 epochs +2023-12-12 02:46:56,492 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 02:46:56,550 - pyskl - INFO - +top1_acc 0.9284 +top5_acc 0.9967 +2023-12-12 02:46:56,550 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 02:46:56,557 - pyskl - INFO - +mean_acc 0.9028 +2023-12-12 02:46:56,559 - pyskl - INFO - Epoch(val) [148][533] top1_acc: 0.9284, top5_acc: 0.9967, mean_class_accuracy: 0.9028 +2023-12-12 02:47:58,406 - pyskl - INFO - Epoch [149][100/1281] lr: 1.013e-05, eta: 0:16:20, time: 0.618, data_time: 0.181, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1033, loss: 1.1033 +2023-12-12 02:48:40,960 - pyskl - INFO - Epoch [149][200/1281] lr: 9.328e-06, eta: 0:15:41, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0893, loss: 1.0893 +2023-12-12 02:49:22,027 - pyskl - INFO - Epoch [149][300/1281] lr: 8.555e-06, eta: 0:15:01, time: 0.411, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1158, loss: 1.1158 +2023-12-12 02:49:49,349 - pyskl - INFO - Epoch [149][400/1281] lr: 7.816e-06, eta: 0:14:21, time: 0.273, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0992, loss: 1.0992 +2023-12-12 02:50:34,494 - pyskl - INFO - Epoch [149][500/1281] lr: 7.110e-06, eta: 0:13:41, time: 0.451, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1143, loss: 1.1143 +2023-12-12 02:50:57,813 - pyskl - INFO - Epoch [149][600/1281] lr: 6.437e-06, eta: 0:13:01, time: 0.233, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0789, loss: 1.0789 +2023-12-12 02:51:40,636 - pyskl - INFO - Epoch [149][700/1281] lr: 5.798e-06, eta: 0:12:21, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1092, loss: 1.1092 +2023-12-12 02:52:23,255 - pyskl - INFO - Epoch [149][800/1281] lr: 5.192e-06, eta: 0:11:41, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1007, loss: 1.1007 +2023-12-12 02:53:05,880 - pyskl - INFO - Epoch [149][900/1281] lr: 4.620e-06, eta: 0:11:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1091, loss: 1.1091 +2023-12-12 02:53:48,535 - pyskl - INFO - Epoch [149][1000/1281] lr: 4.081e-06, eta: 0:10:22, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0834, loss: 1.0834 +2023-12-12 02:54:32,059 - pyskl - INFO - Epoch [149][1100/1281] lr: 3.576e-06, eta: 0:09:42, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0932, loss: 1.0932 +2023-12-12 02:55:14,710 - pyskl - INFO - Epoch [149][1200/1281] lr: 3.104e-06, eta: 0:09:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0769, loss: 1.0769 +2023-12-12 02:55:50,057 - pyskl - INFO - Saving checkpoint at 149 epochs +2023-12-12 02:57:04,100 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 02:57:04,173 - pyskl - INFO - +top1_acc 0.9294 +top5_acc 0.9967 +2023-12-12 02:57:04,173 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 02:57:04,180 - pyskl - INFO - +mean_acc 0.9042 +2023-12-12 02:57:04,183 - pyskl - INFO - Epoch(val) [149][533] top1_acc: 0.9294, top5_acc: 0.9967, mean_class_accuracy: 0.9042 +2023-12-12 02:58:05,207 - pyskl - INFO - Epoch [150][100/1281] lr: 2.334e-06, eta: 0:07:50, time: 0.610, data_time: 0.183, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0913, loss: 1.0913 +2023-12-12 02:58:47,866 - pyskl - INFO - Epoch [150][200/1281] lr: 1.956e-06, eta: 0:07:10, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0765, loss: 1.0765 +2023-12-12 02:59:29,095 - pyskl - INFO - Epoch [150][300/1281] lr: 1.611e-06, eta: 0:06:30, time: 0.412, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0976, loss: 1.0976 +2023-12-12 02:59:56,089 - pyskl - INFO - Epoch [150][400/1281] lr: 1.300e-06, eta: 0:05:50, time: 0.270, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0982, loss: 1.0982 +2023-12-12 03:00:40,992 - pyskl - INFO - Epoch [150][500/1281] lr: 1.022e-06, eta: 0:05:11, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0912, loss: 1.0912 +2023-12-12 03:01:03,508 - pyskl - INFO - Epoch [150][600/1281] lr: 7.771e-07, eta: 0:04:31, time: 0.225, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1127, loss: 1.1127 +2023-12-12 03:01:46,021 - pyskl - INFO - Epoch [150][700/1281] lr: 5.659e-07, eta: 0:03:51, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1086, loss: 1.1086 +2023-12-12 03:02:28,622 - pyskl - INFO - Epoch [150][800/1281] lr: 3.881e-07, eta: 0:03:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1141, loss: 1.1141 +2023-12-12 03:03:11,080 - pyskl - INFO - Epoch [150][900/1281] lr: 2.438e-07, eta: 0:02:31, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0951, loss: 1.0951 +2023-12-12 03:03:54,799 - pyskl - INFO - Epoch [150][1000/1281] lr: 1.329e-07, eta: 0:01:51, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0976, loss: 1.0976 +2023-12-12 03:04:37,581 - pyskl - INFO - Epoch [150][1100/1281] lr: 5.534e-08, eta: 0:01:12, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0957, loss: 1.0957 +2023-12-12 03:05:20,287 - pyskl - INFO - Epoch [150][1200/1281] lr: 1.123e-08, eta: 0:00:32, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0923, loss: 1.0923 +2023-12-12 03:05:55,532 - pyskl - INFO - Saving checkpoint at 150 epochs +2023-12-12 03:07:09,396 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-12 03:07:09,457 - pyskl - INFO - +top1_acc 0.9292 +top5_acc 0.9964 +2023-12-12 03:07:09,457 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-12 03:07:09,467 - pyskl - INFO - +mean_acc 0.9027 +2023-12-12 03:07:09,470 - pyskl - INFO - Epoch(val) [150][533] top1_acc: 0.9292, top5_acc: 0.9964, mean_class_accuracy: 0.9027 +2023-12-12 03:07:14,072 - pyskl - INFO - 8521 videos remain after valid thresholding +2023-12-12 03:17:13,622 - pyskl - INFO - Testing results of the last checkpoint +2023-12-12 03:17:13,623 - pyskl - INFO - top1_acc: 0.9315 +2023-12-12 03:17:13,623 - pyskl - INFO - top5_acc: 0.9973 +2023-12-12 03:17:13,623 - pyskl - INFO - mean_class_accuracy: 0.9058 +2023-12-12 03:17:13,623 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/finegym/j_1/best_top1_acc_epoch_141.pth +2023-12-12 03:27:35,206 - pyskl - INFO - Testing results of the best checkpoint +2023-12-12 03:27:35,206 - pyskl - INFO - top1_acc: 0.9328 +2023-12-12 03:27:35,207 - pyskl - INFO - top5_acc: 0.9972 +2023-12-12 03:27:35,207 - pyskl - INFO - mean_class_accuracy: 0.9092