diff --git "a/finegym/k_1/20231224_082045.log" "b/finegym/k_1/20231224_082045.log" new file mode 100644--- /dev/null +++ "b/finegym/k_1/20231224_082045.log" @@ -0,0 +1,3480 @@ +2023-12-24 08:20:45,667 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-12.0 +NVCC: Cuda compilation tools, release 12.0, V12.0.76 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2023-12-24 08:20:46,221 - pyskl - INFO - Config: modality = 'k' +graph = 'coco_new' +work_dir = './work_dirs/test_prototype/finegym/k_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_11', num_classes=99, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/gym/gym_hrnet.pkl' +left_kp = [1, 3, 5, 7, 9, 11, 13, 15] +right_kp = [2, 4, 6, 8, 10, 12, 14, 16] +train_pipeline = [ + dict(type='UniformSampleFrames', clip_len=100), + dict(type='PoseDecode'), + dict( + type='Flip', + flip_ratio=0.5, + left_kp=[1, 3, 5, 7, 9, 11, 13, 15], + right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='UniformSampleFrames', clip_len=100, num_clips=1), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='UniformSampleFrames', clip_len=100, num_clips=10), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', + pipeline=[ + dict(type='UniformSampleFrames', clip_len=100), + dict(type='PoseDecode'), + dict( + type='Flip', + flip_ratio=0.5, + left_kp=[1, 3, 5, 7, 9, 11, 13, 15], + right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', + pipeline=[ + dict(type='UniformSampleFrames', clip_len=100, num_clips=1), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', + pipeline=[ + dict(type='UniformSampleFrames', clip_len=100, num_clips=10), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict( + interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2023-12-24 08:20:46,222 - pyskl - INFO - Set random seed to 1241190805, deterministic: False +2023-12-24 08:20:48,109 - pyskl - INFO - 20484 videos remain after valid thresholding +2023-12-24 08:20:55,353 - pyskl - INFO - 8521 videos remain after valid thresholding +2023-12-24 08:20:55,355 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1 +2023-12-24 08:20:55,355 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2023-12-24 08:20:55,356 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2023-12-24 08:20:55,356 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1 by HardDiskBackend. +2023-12-24 08:22:03,363 - pyskl - INFO - Epoch [1][100/1281] lr: 2.500e-02, eta: 1 day, 12:16:34, time: 0.680, data_time: 0.239, memory: 4120, top1_acc: 0.0575, top5_acc: 0.2281, loss_cls: 5.1404, loss: 5.1404 +2023-12-24 08:22:46,123 - pyskl - INFO - Epoch [1][200/1281] lr: 2.500e-02, eta: 1 day, 5:31:36, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.0862, top5_acc: 0.3513, loss_cls: 4.8365, loss: 4.8365 +2023-12-24 08:23:28,339 - pyskl - INFO - Epoch [1][300/1281] lr: 2.500e-02, eta: 1 day, 3:10:25, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.0963, top5_acc: 0.3825, loss_cls: 4.8196, loss: 4.8196 +2023-12-24 08:24:10,611 - pyskl - INFO - Epoch [1][400/1281] lr: 2.500e-02, eta: 1 day, 1:59:54, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.1462, top5_acc: 0.4344, loss_cls: 4.5630, loss: 4.5630 +2023-12-24 08:24:52,369 - pyskl - INFO - Epoch [1][500/1281] lr: 2.500e-02, eta: 1 day, 1:14:02, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.1325, top5_acc: 0.4556, loss_cls: 4.5808, loss: 4.5808 +2023-12-24 08:25:34,893 - pyskl - INFO - Epoch [1][600/1281] lr: 2.500e-02, eta: 1 day, 0:47:17, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.1481, top5_acc: 0.4831, loss_cls: 4.3923, loss: 4.3923 +2023-12-24 08:26:18,057 - pyskl - INFO - Epoch [1][700/1281] lr: 2.500e-02, eta: 1 day, 0:30:54, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.1725, top5_acc: 0.5112, loss_cls: 4.3573, loss: 4.3573 +2023-12-24 08:27:00,481 - pyskl - INFO - Epoch [1][800/1281] lr: 2.500e-02, eta: 1 day, 0:15:28, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.2062, top5_acc: 0.5763, loss_cls: 4.0785, loss: 4.0785 +2023-12-24 08:27:42,695 - pyskl - INFO - Epoch [1][900/1281] lr: 2.500e-02, eta: 1 day, 0:02:35, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.2387, top5_acc: 0.6150, loss_cls: 3.8507, loss: 3.8507 +2023-12-24 08:28:25,058 - pyskl - INFO - Epoch [1][1000/1281] lr: 2.500e-02, eta: 23:52:36, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.2587, top5_acc: 0.6181, loss_cls: 3.7805, loss: 3.7805 +2023-12-24 08:29:06,876 - pyskl - INFO - Epoch [1][1100/1281] lr: 2.500e-02, eta: 23:42:44, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.3063, top5_acc: 0.6900, loss_cls: 3.5340, loss: 3.5340 +2023-12-24 08:29:49,125 - pyskl - INFO - Epoch [1][1200/1281] lr: 2.500e-02, eta: 23:35:32, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.3319, top5_acc: 0.7144, loss_cls: 3.5066, loss: 3.5066 +2023-12-24 08:30:16,755 - pyskl - INFO - Saving checkpoint at 1 epochs +2023-12-24 08:31:28,277 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 08:31:28,354 - pyskl - INFO - +top1_acc 0.1981 +top5_acc 0.4674 +2023-12-24 08:31:28,354 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 08:31:28,362 - pyskl - INFO - +mean_acc 0.1022 +2023-12-24 08:31:28,603 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2023-12-24 08:31:28,604 - pyskl - INFO - Best top1_acc is 0.1981 at 1 epoch. +2023-12-24 08:31:28,611 - pyskl - INFO - Epoch(val) [1][533] top1_acc: 0.1981, top5_acc: 0.4674, mean_class_accuracy: 0.1022 +2023-12-24 08:32:34,531 - pyskl - INFO - Epoch [2][100/1281] lr: 2.500e-02, eta: 23:00:35, time: 0.659, data_time: 0.235, memory: 4120, top1_acc: 0.3775, top5_acc: 0.7887, loss_cls: 3.1374, loss: 3.1374 +2023-12-24 08:33:16,199 - pyskl - INFO - Epoch [2][200/1281] lr: 2.500e-02, eta: 22:56:05, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.3875, top5_acc: 0.7875, loss_cls: 3.0881, loss: 3.0881 +2023-12-24 08:33:58,186 - pyskl - INFO - Epoch [2][300/1281] lr: 2.500e-02, eta: 22:52:43, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.4062, top5_acc: 0.8075, loss_cls: 3.0218, loss: 3.0218 +2023-12-24 08:34:40,403 - pyskl - INFO - Epoch [2][400/1281] lr: 2.500e-02, eta: 22:50:06, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.4244, top5_acc: 0.8169, loss_cls: 2.9447, loss: 2.9447 +2023-12-24 08:35:23,164 - pyskl - INFO - Epoch [2][500/1281] lr: 2.499e-02, eta: 22:48:40, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.4544, top5_acc: 0.8556, loss_cls: 2.7778, loss: 2.7778 +2023-12-24 08:36:06,172 - pyskl - INFO - Epoch [2][600/1281] lr: 2.499e-02, eta: 22:47:44, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.4500, top5_acc: 0.8544, loss_cls: 2.7395, loss: 2.7395 +2023-12-24 08:36:48,952 - pyskl - INFO - Epoch [2][700/1281] lr: 2.499e-02, eta: 22:46:27, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.4650, top5_acc: 0.8719, loss_cls: 2.6508, loss: 2.6508 +2023-12-24 08:37:31,700 - pyskl - INFO - Epoch [2][800/1281] lr: 2.499e-02, eta: 22:45:09, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.4875, top5_acc: 0.8775, loss_cls: 2.5683, loss: 2.5683 +2023-12-24 08:38:14,252 - pyskl - INFO - Epoch [2][900/1281] lr: 2.499e-02, eta: 22:43:40, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.5050, top5_acc: 0.8912, loss_cls: 2.4989, loss: 2.4989 +2023-12-24 08:38:56,490 - pyskl - INFO - Epoch [2][1000/1281] lr: 2.499e-02, eta: 22:41:47, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.5219, top5_acc: 0.9081, loss_cls: 2.3805, loss: 2.3805 +2023-12-24 08:39:38,598 - pyskl - INFO - Epoch [2][1100/1281] lr: 2.499e-02, eta: 22:39:49, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.5138, top5_acc: 0.9025, loss_cls: 2.2859, loss: 2.2859 +2023-12-24 08:40:21,688 - pyskl - INFO - Epoch [2][1200/1281] lr: 2.499e-02, eta: 22:39:13, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.5437, top5_acc: 0.9000, loss_cls: 2.1863, loss: 2.1863 +2023-12-24 08:40:47,619 - pyskl - INFO - Saving checkpoint at 2 epochs +2023-12-24 08:41:55,310 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 08:41:55,374 - pyskl - INFO - +top1_acc 0.5405 +top5_acc 0.9083 +2023-12-24 08:41:55,374 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 08:41:55,380 - pyskl - INFO - +mean_acc 0.3696 +2023-12-24 08:41:55,384 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_1.pth was removed +2023-12-24 08:41:55,608 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2023-12-24 08:41:55,608 - pyskl - INFO - Best top1_acc is 0.5405 at 2 epoch. +2023-12-24 08:41:55,611 - pyskl - INFO - Epoch(val) [2][533] top1_acc: 0.5405, top5_acc: 0.9083, mean_class_accuracy: 0.3696 +2023-12-24 08:42:57,075 - pyskl - INFO - Epoch [3][100/1281] lr: 2.499e-02, eta: 22:18:30, time: 0.615, data_time: 0.186, memory: 4120, top1_acc: 0.5281, top5_acc: 0.9194, loss_cls: 2.1093, loss: 2.1093 +2023-12-24 08:43:39,840 - pyskl - INFO - Epoch [3][200/1281] lr: 2.499e-02, eta: 22:18:14, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.5725, top5_acc: 0.9300, loss_cls: 2.0148, loss: 2.0148 +2023-12-24 08:44:21,860 - pyskl - INFO - Epoch [3][300/1281] lr: 2.499e-02, eta: 22:17:06, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.5625, top5_acc: 0.9200, loss_cls: 1.9920, loss: 1.9920 +2023-12-24 08:45:04,370 - pyskl - INFO - Epoch [3][400/1281] lr: 2.499e-02, eta: 22:16:32, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.6006, top5_acc: 0.9325, loss_cls: 1.9056, loss: 1.9056 +2023-12-24 08:45:47,233 - pyskl - INFO - Epoch [3][500/1281] lr: 2.498e-02, eta: 22:16:19, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.5713, top5_acc: 0.9325, loss_cls: 1.9258, loss: 1.9258 +2023-12-24 08:46:29,036 - pyskl - INFO - Epoch [3][600/1281] lr: 2.498e-02, eta: 22:15:00, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.5675, top5_acc: 0.9331, loss_cls: 1.9364, loss: 1.9364 +2023-12-24 08:47:11,834 - pyskl - INFO - Epoch [3][700/1281] lr: 2.498e-02, eta: 22:14:42, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.5956, top5_acc: 0.9281, loss_cls: 1.9135, loss: 1.9135 +2023-12-24 08:47:54,487 - pyskl - INFO - Epoch [3][800/1281] lr: 2.498e-02, eta: 22:14:14, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.5825, top5_acc: 0.9400, loss_cls: 1.9284, loss: 1.9284 +2023-12-24 08:48:36,710 - pyskl - INFO - Epoch [3][900/1281] lr: 2.498e-02, eta: 22:13:22, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.6206, top5_acc: 0.9450, loss_cls: 1.8002, loss: 1.8002 +2023-12-24 08:49:18,787 - pyskl - INFO - Epoch [3][1000/1281] lr: 2.498e-02, eta: 22:12:22, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.5875, top5_acc: 0.9487, loss_cls: 1.8665, loss: 1.8665 +2023-12-24 08:50:01,710 - pyskl - INFO - Epoch [3][1100/1281] lr: 2.498e-02, eta: 22:12:07, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.5944, top5_acc: 0.9400, loss_cls: 1.8703, loss: 1.8703 +2023-12-24 08:50:43,515 - pyskl - INFO - Epoch [3][1200/1281] lr: 2.498e-02, eta: 22:10:54, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.5994, top5_acc: 0.9425, loss_cls: 1.8362, loss: 1.8362 +2023-12-24 08:51:07,560 - pyskl - INFO - Saving checkpoint at 3 epochs +2023-12-24 08:52:15,905 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 08:52:15,987 - pyskl - INFO - +top1_acc 0.6002 +top5_acc 0.9389 +2023-12-24 08:52:15,988 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 08:52:16,002 - pyskl - INFO - +mean_acc 0.4353 +2023-12-24 08:52:16,019 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_2.pth was removed +2023-12-24 08:52:16,288 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2023-12-24 08:52:16,288 - pyskl - INFO - Best top1_acc is 0.6002 at 3 epoch. +2023-12-24 08:52:16,291 - pyskl - INFO - Epoch(val) [3][533] top1_acc: 0.6002, top5_acc: 0.9389, mean_class_accuracy: 0.4353 +2023-12-24 08:53:22,126 - pyskl - INFO - Epoch [4][100/1281] lr: 2.497e-02, eta: 22:00:58, time: 0.658, data_time: 0.236, memory: 4120, top1_acc: 0.6369, top5_acc: 0.9594, loss_cls: 1.7279, loss: 1.7279 +2023-12-24 08:54:04,498 - pyskl - INFO - Epoch [4][200/1281] lr: 2.497e-02, eta: 22:00:27, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.6306, top5_acc: 0.9563, loss_cls: 1.7118, loss: 1.7118 +2023-12-24 08:54:46,614 - pyskl - INFO - Epoch [4][300/1281] lr: 2.497e-02, eta: 21:59:45, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.6350, top5_acc: 0.9481, loss_cls: 1.7117, loss: 1.7117 +2023-12-24 08:55:28,487 - pyskl - INFO - Epoch [4][400/1281] lr: 2.497e-02, eta: 21:58:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.6262, top5_acc: 0.9575, loss_cls: 1.7281, loss: 1.7281 +2023-12-24 08:56:11,510 - pyskl - INFO - Epoch [4][500/1281] lr: 2.497e-02, eta: 21:58:49, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.6531, top5_acc: 0.9513, loss_cls: 1.6586, loss: 1.6586 +2023-12-24 08:56:54,929 - pyskl - INFO - Epoch [4][600/1281] lr: 2.497e-02, eta: 21:59:01, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.6338, top5_acc: 0.9600, loss_cls: 1.7240, loss: 1.7240 +2023-12-24 08:57:38,249 - pyskl - INFO - Epoch [4][700/1281] lr: 2.497e-02, eta: 21:59:07, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.6350, top5_acc: 0.9537, loss_cls: 1.7260, loss: 1.7260 +2023-12-24 08:58:20,943 - pyskl - INFO - Epoch [4][800/1281] lr: 2.496e-02, eta: 21:58:45, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.6425, top5_acc: 0.9669, loss_cls: 1.6667, loss: 1.6667 +2023-12-24 08:59:03,196 - pyskl - INFO - Epoch [4][900/1281] lr: 2.496e-02, eta: 21:58:05, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.6400, top5_acc: 0.9537, loss_cls: 1.6840, loss: 1.6840 +2023-12-24 08:59:45,405 - pyskl - INFO - Epoch [4][1000/1281] lr: 2.496e-02, eta: 21:57:23, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.6488, top5_acc: 0.9537, loss_cls: 1.6641, loss: 1.6641 +2023-12-24 09:00:28,108 - pyskl - INFO - Epoch [4][1100/1281] lr: 2.496e-02, eta: 21:57:00, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.6587, top5_acc: 0.9606, loss_cls: 1.6172, loss: 1.6172 +2023-12-24 09:01:10,443 - pyskl - INFO - Epoch [4][1200/1281] lr: 2.496e-02, eta: 21:56:22, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.6744, top5_acc: 0.9663, loss_cls: 1.5780, loss: 1.5780 +2023-12-24 09:01:33,523 - pyskl - INFO - Saving checkpoint at 4 epochs +2023-12-24 09:02:40,106 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:02:40,178 - pyskl - INFO - +top1_acc 0.6218 +top5_acc 0.9386 +2023-12-24 09:02:40,178 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:02:40,187 - pyskl - INFO - +mean_acc 0.4843 +2023-12-24 09:02:40,192 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_3.pth was removed +2023-12-24 09:02:40,452 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2023-12-24 09:02:40,453 - pyskl - INFO - Best top1_acc is 0.6218 at 4 epoch. +2023-12-24 09:02:40,456 - pyskl - INFO - Epoch(val) [4][533] top1_acc: 0.6218, top5_acc: 0.9386, mean_class_accuracy: 0.4843 +2023-12-24 09:03:43,367 - pyskl - INFO - Epoch [5][100/1281] lr: 2.495e-02, eta: 21:47:03, time: 0.629, data_time: 0.208, memory: 4120, top1_acc: 0.6637, top5_acc: 0.9587, loss_cls: 1.6430, loss: 1.6430 +2023-12-24 09:04:25,718 - pyskl - INFO - Epoch [5][200/1281] lr: 2.495e-02, eta: 21:46:35, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.6937, top5_acc: 0.9762, loss_cls: 1.5089, loss: 1.5089 +2023-12-24 09:05:08,632 - pyskl - INFO - Epoch [5][300/1281] lr: 2.495e-02, eta: 21:46:25, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.6881, top5_acc: 0.9637, loss_cls: 1.5429, loss: 1.5429 +2023-12-24 09:05:50,837 - pyskl - INFO - Epoch [5][400/1281] lr: 2.495e-02, eta: 21:45:51, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.6731, top5_acc: 0.9650, loss_cls: 1.5528, loss: 1.5528 +2023-12-24 09:06:33,582 - pyskl - INFO - Epoch [5][500/1281] lr: 2.495e-02, eta: 21:45:34, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.6606, top5_acc: 0.9613, loss_cls: 1.5860, loss: 1.5860 +2023-12-24 09:07:16,342 - pyskl - INFO - Epoch [5][600/1281] lr: 2.495e-02, eta: 21:45:17, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.6863, top5_acc: 0.9681, loss_cls: 1.5277, loss: 1.5277 +2023-12-24 09:07:58,198 - pyskl - INFO - Epoch [5][700/1281] lr: 2.494e-02, eta: 21:44:30, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.6950, top5_acc: 0.9669, loss_cls: 1.5180, loss: 1.5180 +2023-12-24 09:08:40,365 - pyskl - INFO - Epoch [5][800/1281] lr: 2.494e-02, eta: 21:43:53, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.6675, top5_acc: 0.9531, loss_cls: 1.6251, loss: 1.6251 +2023-12-24 09:09:23,838 - pyskl - INFO - Epoch [5][900/1281] lr: 2.494e-02, eta: 21:43:56, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.6850, top5_acc: 0.9700, loss_cls: 1.5473, loss: 1.5473 +2023-12-24 09:10:06,024 - pyskl - INFO - Epoch [5][1000/1281] lr: 2.494e-02, eta: 21:43:19, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.6969, top5_acc: 0.9650, loss_cls: 1.5029, loss: 1.5029 +2023-12-24 09:10:49,392 - pyskl - INFO - Epoch [5][1100/1281] lr: 2.494e-02, eta: 21:43:16, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.6981, top5_acc: 0.9700, loss_cls: 1.5048, loss: 1.5048 +2023-12-24 09:11:32,069 - pyskl - INFO - Epoch [5][1200/1281] lr: 2.493e-02, eta: 21:42:52, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.6906, top5_acc: 0.9675, loss_cls: 1.5175, loss: 1.5175 +2023-12-24 09:11:51,660 - pyskl - INFO - Saving checkpoint at 5 epochs +2023-12-24 09:12:53,702 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:12:53,807 - pyskl - INFO - +top1_acc 0.6809 +top5_acc 0.9605 +2023-12-24 09:12:53,807 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:12:53,826 - pyskl - INFO - +mean_acc 0.5418 +2023-12-24 09:12:53,833 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_4.pth was removed +2023-12-24 09:12:54,163 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2023-12-24 09:12:54,163 - pyskl - INFO - Best top1_acc is 0.6809 at 5 epoch. +2023-12-24 09:12:54,169 - pyskl - INFO - Epoch(val) [5][533] top1_acc: 0.6809, top5_acc: 0.9605, mean_class_accuracy: 0.5418 +2023-12-24 09:13:59,065 - pyskl - INFO - Epoch [6][100/1281] lr: 2.493e-02, eta: 21:36:15, time: 0.649, data_time: 0.228, memory: 4120, top1_acc: 0.6894, top5_acc: 0.9719, loss_cls: 1.4843, loss: 1.4843 +2023-12-24 09:14:41,174 - pyskl - INFO - Epoch [6][200/1281] lr: 2.493e-02, eta: 21:35:39, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.7056, top5_acc: 0.9769, loss_cls: 1.4676, loss: 1.4676 +2023-12-24 09:15:24,235 - pyskl - INFO - Epoch [6][300/1281] lr: 2.492e-02, eta: 21:35:29, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.6837, top5_acc: 0.9681, loss_cls: 1.5544, loss: 1.5544 +2023-12-24 09:16:06,274 - pyskl - INFO - Epoch [6][400/1281] lr: 2.492e-02, eta: 21:34:51, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.7037, top5_acc: 0.9712, loss_cls: 1.4719, loss: 1.4719 +2023-12-24 09:16:48,539 - pyskl - INFO - Epoch [6][500/1281] lr: 2.492e-02, eta: 21:34:18, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.7069, top5_acc: 0.9700, loss_cls: 1.4569, loss: 1.4569 +2023-12-24 09:17:31,282 - pyskl - INFO - Epoch [6][600/1281] lr: 2.492e-02, eta: 21:33:58, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.6944, top5_acc: 0.9800, loss_cls: 1.4984, loss: 1.4984 +2023-12-24 09:18:14,653 - pyskl - INFO - Epoch [6][700/1281] lr: 2.492e-02, eta: 21:33:53, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7100, top5_acc: 0.9775, loss_cls: 1.4264, loss: 1.4264 +2023-12-24 09:18:57,842 - pyskl - INFO - Epoch [6][800/1281] lr: 2.491e-02, eta: 21:33:43, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7212, top5_acc: 0.9788, loss_cls: 1.4390, loss: 1.4390 +2023-12-24 09:19:40,416 - pyskl - INFO - Epoch [6][900/1281] lr: 2.491e-02, eta: 21:33:16, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.7156, top5_acc: 0.9756, loss_cls: 1.4540, loss: 1.4540 +2023-12-24 09:20:22,357 - pyskl - INFO - Epoch [6][1000/1281] lr: 2.491e-02, eta: 21:32:33, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7200, top5_acc: 0.9781, loss_cls: 1.4248, loss: 1.4248 +2023-12-24 09:21:04,429 - pyskl - INFO - Epoch [6][1100/1281] lr: 2.491e-02, eta: 21:31:54, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.6881, top5_acc: 0.9738, loss_cls: 1.5155, loss: 1.5155 +2023-12-24 09:21:46,666 - pyskl - INFO - Epoch [6][1200/1281] lr: 2.490e-02, eta: 21:31:18, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7338, top5_acc: 0.9644, loss_cls: 1.4338, loss: 1.4338 +2023-12-24 09:22:09,230 - pyskl - INFO - Saving checkpoint at 6 epochs +2023-12-24 09:23:14,987 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:23:15,074 - pyskl - INFO - +top1_acc 0.6939 +top5_acc 0.9648 +2023-12-24 09:23:15,074 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:23:15,091 - pyskl - INFO - +mean_acc 0.5586 +2023-12-24 09:23:15,108 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_5.pth was removed +2023-12-24 09:23:15,384 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2023-12-24 09:23:15,384 - pyskl - INFO - Best top1_acc is 0.6939 at 6 epoch. +2023-12-24 09:23:15,388 - pyskl - INFO - Epoch(val) [6][533] top1_acc: 0.6939, top5_acc: 0.9648, mean_class_accuracy: 0.5586 +2023-12-24 09:24:21,018 - pyskl - INFO - Epoch [7][100/1281] lr: 2.490e-02, eta: 21:25:56, time: 0.656, data_time: 0.235, memory: 4120, top1_acc: 0.7194, top5_acc: 0.9781, loss_cls: 1.3936, loss: 1.3936 +2023-12-24 09:25:02,761 - pyskl - INFO - Epoch [7][200/1281] lr: 2.490e-02, eta: 21:25:12, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.7469, top5_acc: 0.9794, loss_cls: 1.3668, loss: 1.3668 +2023-12-24 09:25:45,206 - pyskl - INFO - Epoch [7][300/1281] lr: 2.489e-02, eta: 21:24:44, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.6925, top5_acc: 0.9725, loss_cls: 1.4838, loss: 1.4838 +2023-12-24 09:26:27,383 - pyskl - INFO - Epoch [7][400/1281] lr: 2.489e-02, eta: 21:24:09, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7188, top5_acc: 0.9794, loss_cls: 1.4313, loss: 1.4313 +2023-12-24 09:27:09,543 - pyskl - INFO - Epoch [7][500/1281] lr: 2.489e-02, eta: 21:23:34, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7075, top5_acc: 0.9794, loss_cls: 1.4152, loss: 1.4152 +2023-12-24 09:27:52,352 - pyskl - INFO - Epoch [7][600/1281] lr: 2.489e-02, eta: 21:23:13, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.7312, top5_acc: 0.9794, loss_cls: 1.3799, loss: 1.3799 +2023-12-24 09:28:34,740 - pyskl - INFO - Epoch [7][700/1281] lr: 2.488e-02, eta: 21:22:42, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.7269, top5_acc: 0.9731, loss_cls: 1.4382, loss: 1.4382 +2023-12-24 09:29:16,500 - pyskl - INFO - Epoch [7][800/1281] lr: 2.488e-02, eta: 21:21:58, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.7375, top5_acc: 0.9762, loss_cls: 1.3794, loss: 1.3794 +2023-12-24 09:29:58,887 - pyskl - INFO - Epoch [7][900/1281] lr: 2.488e-02, eta: 21:21:27, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.7425, top5_acc: 0.9788, loss_cls: 1.3623, loss: 1.3623 +2023-12-24 09:30:42,181 - pyskl - INFO - Epoch [7][1000/1281] lr: 2.487e-02, eta: 21:21:15, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.7425, top5_acc: 0.9762, loss_cls: 1.3440, loss: 1.3440 +2023-12-24 09:31:25,545 - pyskl - INFO - Epoch [7][1100/1281] lr: 2.487e-02, eta: 21:21:03, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.7425, top5_acc: 0.9750, loss_cls: 1.3389, loss: 1.3389 +2023-12-24 09:32:08,422 - pyskl - INFO - Epoch [7][1200/1281] lr: 2.487e-02, eta: 21:20:41, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.7113, top5_acc: 0.9725, loss_cls: 1.4369, loss: 1.4369 +2023-12-24 09:32:29,271 - pyskl - INFO - Saving checkpoint at 7 epochs +2023-12-24 09:33:28,717 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:33:28,774 - pyskl - INFO - +top1_acc 0.6782 +top5_acc 0.9623 +2023-12-24 09:33:28,775 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:33:28,781 - pyskl - INFO - +mean_acc 0.5895 +2023-12-24 09:33:28,783 - pyskl - INFO - Epoch(val) [7][533] top1_acc: 0.6782, top5_acc: 0.9623, mean_class_accuracy: 0.5895 +2023-12-24 09:34:32,624 - pyskl - INFO - Epoch [8][100/1281] lr: 2.486e-02, eta: 21:15:22, time: 0.638, data_time: 0.202, memory: 4120, top1_acc: 0.7388, top5_acc: 0.9750, loss_cls: 1.3459, loss: 1.3459 +2023-12-24 09:35:15,778 - pyskl - INFO - Epoch [8][200/1281] lr: 2.486e-02, eta: 21:15:07, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7538, top5_acc: 0.9806, loss_cls: 1.3237, loss: 1.3237 +2023-12-24 09:35:57,944 - pyskl - INFO - Epoch [8][300/1281] lr: 2.486e-02, eta: 21:14:32, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7369, top5_acc: 0.9712, loss_cls: 1.3755, loss: 1.3755 +2023-12-24 09:36:40,263 - pyskl - INFO - Epoch [8][400/1281] lr: 2.485e-02, eta: 21:14:00, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.7531, top5_acc: 0.9806, loss_cls: 1.3272, loss: 1.3272 +2023-12-24 09:37:23,149 - pyskl - INFO - Epoch [8][500/1281] lr: 2.485e-02, eta: 21:13:39, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.7306, top5_acc: 0.9819, loss_cls: 1.3920, loss: 1.3920 +2023-12-24 09:38:05,591 - pyskl - INFO - Epoch [8][600/1281] lr: 2.485e-02, eta: 21:13:08, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.7506, top5_acc: 0.9800, loss_cls: 1.3643, loss: 1.3643 +2023-12-24 09:38:48,437 - pyskl - INFO - Epoch [8][700/1281] lr: 2.484e-02, eta: 21:12:46, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.7750, top5_acc: 0.9775, loss_cls: 1.3012, loss: 1.3012 +2023-12-24 09:39:30,633 - pyskl - INFO - Epoch [8][800/1281] lr: 2.484e-02, eta: 21:12:10, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7319, top5_acc: 0.9762, loss_cls: 1.3688, loss: 1.3688 +2023-12-24 09:40:12,985 - pyskl - INFO - Epoch [8][900/1281] lr: 2.484e-02, eta: 21:11:38, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.7644, top5_acc: 0.9806, loss_cls: 1.2784, loss: 1.2784 +2023-12-24 09:40:56,606 - pyskl - INFO - Epoch [8][1000/1281] lr: 2.483e-02, eta: 21:11:28, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.7612, top5_acc: 0.9794, loss_cls: 1.2856, loss: 1.2856 +2023-12-24 09:41:39,084 - pyskl - INFO - Epoch [8][1100/1281] lr: 2.483e-02, eta: 21:10:57, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.7425, top5_acc: 0.9750, loss_cls: 1.3432, loss: 1.3432 +2023-12-24 09:42:19,655 - pyskl - INFO - Epoch [8][1200/1281] lr: 2.483e-02, eta: 21:09:52, time: 0.406, data_time: 0.000, memory: 4120, top1_acc: 0.7444, top5_acc: 0.9788, loss_cls: 1.3244, loss: 1.3244 +2023-12-24 09:42:39,168 - pyskl - INFO - Saving checkpoint at 8 epochs +2023-12-24 09:43:38,741 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:43:38,802 - pyskl - INFO - +top1_acc 0.7352 +top5_acc 0.9717 +2023-12-24 09:43:38,802 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:43:38,815 - pyskl - INFO - +mean_acc 0.6252 +2023-12-24 09:43:38,822 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_6.pth was removed +2023-12-24 09:43:39,084 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2023-12-24 09:43:39,084 - pyskl - INFO - Best top1_acc is 0.7352 at 8 epoch. +2023-12-24 09:43:39,087 - pyskl - INFO - Epoch(val) [8][533] top1_acc: 0.7352, top5_acc: 0.9717, mean_class_accuracy: 0.6252 +2023-12-24 09:44:44,586 - pyskl - INFO - Epoch [9][100/1281] lr: 2.482e-02, eta: 21:05:35, time: 0.655, data_time: 0.231, memory: 4120, top1_acc: 0.7688, top5_acc: 0.9819, loss_cls: 1.2662, loss: 1.2662 +2023-12-24 09:45:26,760 - pyskl - INFO - Epoch [9][200/1281] lr: 2.482e-02, eta: 21:05:00, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7650, top5_acc: 0.9894, loss_cls: 1.2293, loss: 1.2293 +2023-12-24 09:46:09,302 - pyskl - INFO - Epoch [9][300/1281] lr: 2.481e-02, eta: 21:04:32, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.7638, top5_acc: 0.9894, loss_cls: 1.2518, loss: 1.2518 +2023-12-24 09:46:52,031 - pyskl - INFO - Epoch [9][400/1281] lr: 2.481e-02, eta: 21:04:06, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7588, top5_acc: 0.9812, loss_cls: 1.2992, loss: 1.2992 +2023-12-24 09:47:35,563 - pyskl - INFO - Epoch [9][500/1281] lr: 2.481e-02, eta: 21:03:54, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.7575, top5_acc: 0.9844, loss_cls: 1.2602, loss: 1.2602 +2023-12-24 09:48:18,065 - pyskl - INFO - Epoch [9][600/1281] lr: 2.480e-02, eta: 21:03:24, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.7731, top5_acc: 0.9856, loss_cls: 1.2387, loss: 1.2387 +2023-12-24 09:49:00,908 - pyskl - INFO - Epoch [9][700/1281] lr: 2.480e-02, eta: 21:02:59, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.7594, top5_acc: 0.9812, loss_cls: 1.3084, loss: 1.3084 +2023-12-24 09:49:43,152 - pyskl - INFO - Epoch [9][800/1281] lr: 2.480e-02, eta: 21:02:24, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7831, top5_acc: 0.9862, loss_cls: 1.2217, loss: 1.2217 +2023-12-24 09:50:25,589 - pyskl - INFO - Epoch [9][900/1281] lr: 2.479e-02, eta: 21:01:52, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.7644, top5_acc: 0.9750, loss_cls: 1.3262, loss: 1.3262 +2023-12-24 09:51:08,203 - pyskl - INFO - Epoch [9][1000/1281] lr: 2.479e-02, eta: 21:01:23, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7731, top5_acc: 0.9706, loss_cls: 1.2752, loss: 1.2752 +2023-12-24 09:51:50,768 - pyskl - INFO - Epoch [9][1100/1281] lr: 2.479e-02, eta: 21:00:52, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.7506, top5_acc: 0.9825, loss_cls: 1.3054, loss: 1.3054 +2023-12-24 09:52:30,493 - pyskl - INFO - Epoch [9][1200/1281] lr: 2.478e-02, eta: 20:59:37, time: 0.397, data_time: 0.001, memory: 4120, top1_acc: 0.7588, top5_acc: 0.9794, loss_cls: 1.2945, loss: 1.2945 +2023-12-24 09:52:49,810 - pyskl - INFO - Saving checkpoint at 9 epochs +2023-12-24 09:53:48,616 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:53:48,693 - pyskl - INFO - +top1_acc 0.7604 +top5_acc 0.9764 +2023-12-24 09:53:48,693 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:53:48,705 - pyskl - INFO - +mean_acc 0.6581 +2023-12-24 09:53:48,710 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_8.pth was removed +2023-12-24 09:53:48,968 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2023-12-24 09:53:48,969 - pyskl - INFO - Best top1_acc is 0.7604 at 9 epoch. +2023-12-24 09:53:48,975 - pyskl - INFO - Epoch(val) [9][533] top1_acc: 0.7604, top5_acc: 0.9764, mean_class_accuracy: 0.6581 +2023-12-24 09:54:52,713 - pyskl - INFO - Epoch [10][100/1281] lr: 2.477e-02, eta: 20:55:16, time: 0.637, data_time: 0.212, memory: 4120, top1_acc: 0.7781, top5_acc: 0.9812, loss_cls: 1.2522, loss: 1.2522 +2023-12-24 09:55:35,323 - pyskl - INFO - Epoch [10][200/1281] lr: 2.477e-02, eta: 20:54:48, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.7706, top5_acc: 0.9831, loss_cls: 1.2567, loss: 1.2567 +2023-12-24 09:56:17,546 - pyskl - INFO - Epoch [10][300/1281] lr: 2.477e-02, eta: 20:54:13, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7606, top5_acc: 0.9819, loss_cls: 1.2632, loss: 1.2632 +2023-12-24 09:56:59,936 - pyskl - INFO - Epoch [10][400/1281] lr: 2.476e-02, eta: 20:53:42, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.7669, top5_acc: 0.9794, loss_cls: 1.2909, loss: 1.2909 +2023-12-24 09:57:42,570 - pyskl - INFO - Epoch [10][500/1281] lr: 2.476e-02, eta: 20:53:13, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.7419, top5_acc: 0.9788, loss_cls: 1.3195, loss: 1.3195 +2023-12-24 09:58:24,833 - pyskl - INFO - Epoch [10][600/1281] lr: 2.476e-02, eta: 20:52:39, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.7887, top5_acc: 0.9869, loss_cls: 1.2075, loss: 1.2075 +2023-12-24 09:59:06,430 - pyskl - INFO - Epoch [10][700/1281] lr: 2.475e-02, eta: 20:51:55, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.7662, top5_acc: 0.9812, loss_cls: 1.2960, loss: 1.2960 +2023-12-24 09:59:48,563 - pyskl - INFO - Epoch [10][800/1281] lr: 2.475e-02, eta: 20:51:19, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.7712, top5_acc: 0.9838, loss_cls: 1.2960, loss: 1.2960 +2023-12-24 10:00:30,989 - pyskl - INFO - Epoch [10][900/1281] lr: 2.474e-02, eta: 20:50:47, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.7650, top5_acc: 0.9819, loss_cls: 1.2862, loss: 1.2862 +2023-12-24 10:01:14,053 - pyskl - INFO - Epoch [10][1000/1281] lr: 2.474e-02, eta: 20:50:24, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7756, top5_acc: 0.9881, loss_cls: 1.2355, loss: 1.2355 +2023-12-24 10:01:56,333 - pyskl - INFO - Epoch [10][1100/1281] lr: 2.473e-02, eta: 20:49:49, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.7688, top5_acc: 0.9769, loss_cls: 1.3037, loss: 1.3037 +2023-12-24 10:02:37,501 - pyskl - INFO - Epoch [10][1200/1281] lr: 2.473e-02, eta: 20:48:59, time: 0.412, data_time: 0.001, memory: 4120, top1_acc: 0.7619, top5_acc: 0.9812, loss_cls: 1.2792, loss: 1.2792 +2023-12-24 10:02:55,892 - pyskl - INFO - Saving checkpoint at 10 epochs +2023-12-24 10:03:50,646 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 10:03:50,718 - pyskl - INFO - +top1_acc 0.7494 +top5_acc 0.9725 +2023-12-24 10:03:50,719 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 10:03:50,739 - pyskl - INFO - +mean_acc 0.6570 +2023-12-24 10:03:50,747 - pyskl - INFO - Epoch(val) [10][533] top1_acc: 0.7494, top5_acc: 0.9725, mean_class_accuracy: 0.6570 +2023-12-24 10:04:57,340 - pyskl - INFO - Epoch [11][100/1281] lr: 2.472e-02, eta: 20:45:38, time: 0.666, data_time: 0.238, memory: 4120, top1_acc: 0.7919, top5_acc: 0.9856, loss_cls: 1.1863, loss: 1.1863 +2023-12-24 10:05:40,502 - pyskl - INFO - Epoch [11][200/1281] lr: 2.472e-02, eta: 20:45:17, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7900, top5_acc: 0.9900, loss_cls: 1.2222, loss: 1.2222 +2023-12-24 10:06:23,235 - pyskl - INFO - Epoch [11][300/1281] lr: 2.471e-02, eta: 20:44:49, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.7712, top5_acc: 0.9838, loss_cls: 1.2564, loss: 1.2564 +2023-12-24 10:07:05,486 - pyskl - INFO - Epoch [11][400/1281] lr: 2.471e-02, eta: 20:44:14, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7887, top5_acc: 0.9850, loss_cls: 1.2123, loss: 1.2123 +2023-12-24 10:07:47,135 - pyskl - INFO - Epoch [11][500/1281] lr: 2.471e-02, eta: 20:43:32, time: 0.416, data_time: 0.001, memory: 4120, top1_acc: 0.7581, top5_acc: 0.9800, loss_cls: 1.2783, loss: 1.2783 +2023-12-24 10:08:29,030 - pyskl - INFO - Epoch [11][600/1281] lr: 2.470e-02, eta: 20:42:52, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.7775, top5_acc: 0.9862, loss_cls: 1.2370, loss: 1.2370 +2023-12-24 10:09:11,085 - pyskl - INFO - Epoch [11][700/1281] lr: 2.470e-02, eta: 20:42:15, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.7875, top5_acc: 0.9850, loss_cls: 1.1933, loss: 1.1933 +2023-12-24 10:09:54,157 - pyskl - INFO - Epoch [11][800/1281] lr: 2.469e-02, eta: 20:41:51, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.7569, top5_acc: 0.9719, loss_cls: 1.3346, loss: 1.3346 +2023-12-24 10:10:36,859 - pyskl - INFO - Epoch [11][900/1281] lr: 2.469e-02, eta: 20:41:22, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.7856, top5_acc: 0.9856, loss_cls: 1.1922, loss: 1.1922 +2023-12-24 10:11:19,103 - pyskl - INFO - Epoch [11][1000/1281] lr: 2.468e-02, eta: 20:40:46, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7856, top5_acc: 0.9825, loss_cls: 1.2311, loss: 1.2311 +2023-12-24 10:12:01,704 - pyskl - INFO - Epoch [11][1100/1281] lr: 2.468e-02, eta: 20:40:16, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.7944, top5_acc: 0.9856, loss_cls: 1.2032, loss: 1.2032 +2023-12-24 10:12:42,102 - pyskl - INFO - Epoch [11][1200/1281] lr: 2.467e-02, eta: 20:39:17, time: 0.404, data_time: 0.001, memory: 4120, top1_acc: 0.7831, top5_acc: 0.9825, loss_cls: 1.2168, loss: 1.2168 +2023-12-24 10:13:01,544 - pyskl - INFO - Saving checkpoint at 11 epochs +2023-12-24 10:14:00,860 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 10:14:00,927 - pyskl - INFO - +top1_acc 0.7516 +top5_acc 0.9772 +2023-12-24 10:14:00,927 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 10:14:00,937 - pyskl - INFO - +mean_acc 0.6522 +2023-12-24 10:14:00,943 - pyskl - INFO - Epoch(val) [11][533] top1_acc: 0.7516, top5_acc: 0.9772, mean_class_accuracy: 0.6522 +2023-12-24 10:15:05,889 - pyskl - INFO - Epoch [12][100/1281] lr: 2.467e-02, eta: 20:35:48, time: 0.649, data_time: 0.227, memory: 4120, top1_acc: 0.7937, top5_acc: 0.9875, loss_cls: 1.1993, loss: 1.1993 +2023-12-24 10:15:48,109 - pyskl - INFO - Epoch [12][200/1281] lr: 2.466e-02, eta: 20:35:13, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.7887, top5_acc: 0.9862, loss_cls: 1.1841, loss: 1.1841 +2023-12-24 10:16:30,777 - pyskl - INFO - Epoch [12][300/1281] lr: 2.466e-02, eta: 20:34:44, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.7975, top5_acc: 0.9869, loss_cls: 1.1778, loss: 1.1778 +2023-12-24 10:17:13,055 - pyskl - INFO - Epoch [12][400/1281] lr: 2.465e-02, eta: 20:34:10, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9906, loss_cls: 1.1477, loss: 1.1477 +2023-12-24 10:17:55,310 - pyskl - INFO - Epoch [12][500/1281] lr: 2.465e-02, eta: 20:33:35, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8075, top5_acc: 0.9900, loss_cls: 1.1618, loss: 1.1618 +2023-12-24 10:18:38,187 - pyskl - INFO - Epoch [12][600/1281] lr: 2.464e-02, eta: 20:33:08, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.7819, top5_acc: 0.9856, loss_cls: 1.2352, loss: 1.2352 +2023-12-24 10:19:21,029 - pyskl - INFO - Epoch [12][700/1281] lr: 2.464e-02, eta: 20:32:40, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.7963, top5_acc: 0.9838, loss_cls: 1.2125, loss: 1.2125 +2023-12-24 10:20:03,533 - pyskl - INFO - Epoch [12][800/1281] lr: 2.463e-02, eta: 20:32:07, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8025, top5_acc: 0.9844, loss_cls: 1.1937, loss: 1.1937 +2023-12-24 10:20:46,578 - pyskl - INFO - Epoch [12][900/1281] lr: 2.463e-02, eta: 20:31:42, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.7956, top5_acc: 0.9875, loss_cls: 1.1719, loss: 1.1719 +2023-12-24 10:21:28,484 - pyskl - INFO - Epoch [12][1000/1281] lr: 2.462e-02, eta: 20:31:02, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.7719, top5_acc: 0.9769, loss_cls: 1.2630, loss: 1.2630 +2023-12-24 10:22:11,736 - pyskl - INFO - Epoch [12][1100/1281] lr: 2.462e-02, eta: 20:30:38, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.7913, top5_acc: 0.9825, loss_cls: 1.1969, loss: 1.1969 +2023-12-24 10:22:51,810 - pyskl - INFO - Epoch [12][1200/1281] lr: 2.461e-02, eta: 20:29:37, time: 0.401, data_time: 0.001, memory: 4120, top1_acc: 0.7788, top5_acc: 0.9812, loss_cls: 1.2334, loss: 1.2334 +2023-12-24 10:23:11,481 - pyskl - INFO - Saving checkpoint at 12 epochs +2023-12-24 10:24:10,004 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 10:24:10,078 - pyskl - INFO - +top1_acc 0.7720 +top5_acc 0.9824 +2023-12-24 10:24:10,078 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 10:24:10,087 - pyskl - INFO - +mean_acc 0.6560 +2023-12-24 10:24:10,091 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_9.pth was removed +2023-12-24 10:24:10,349 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2023-12-24 10:24:10,350 - pyskl - INFO - Best top1_acc is 0.7720 at 12 epoch. +2023-12-24 10:24:10,354 - pyskl - INFO - Epoch(val) [12][533] top1_acc: 0.7720, top5_acc: 0.9824, mean_class_accuracy: 0.6560 +2023-12-24 10:25:15,089 - pyskl - INFO - Epoch [13][100/1281] lr: 2.460e-02, eta: 20:26:19, time: 0.647, data_time: 0.218, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9825, loss_cls: 1.1409, loss: 1.1409 +2023-12-24 10:25:57,165 - pyskl - INFO - Epoch [13][200/1281] lr: 2.460e-02, eta: 20:25:42, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.7869, top5_acc: 0.9850, loss_cls: 1.1875, loss: 1.1875 +2023-12-24 10:26:39,835 - pyskl - INFO - Epoch [13][300/1281] lr: 2.459e-02, eta: 20:25:12, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.7913, top5_acc: 0.9894, loss_cls: 1.1577, loss: 1.1577 +2023-12-24 10:27:22,941 - pyskl - INFO - Epoch [13][400/1281] lr: 2.459e-02, eta: 20:24:46, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8163, top5_acc: 0.9900, loss_cls: 1.1238, loss: 1.1238 +2023-12-24 10:28:05,197 - pyskl - INFO - Epoch [13][500/1281] lr: 2.458e-02, eta: 20:24:11, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.7931, top5_acc: 0.9888, loss_cls: 1.1653, loss: 1.1653 +2023-12-24 10:28:47,768 - pyskl - INFO - Epoch [13][600/1281] lr: 2.458e-02, eta: 20:23:39, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.7987, top5_acc: 0.9869, loss_cls: 1.2000, loss: 1.2000 +2023-12-24 10:29:30,222 - pyskl - INFO - Epoch [13][700/1281] lr: 2.457e-02, eta: 20:23:06, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9831, loss_cls: 1.1619, loss: 1.1619 +2023-12-24 10:30:12,273 - pyskl - INFO - Epoch [13][800/1281] lr: 2.457e-02, eta: 20:22:29, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.7906, top5_acc: 0.9869, loss_cls: 1.2130, loss: 1.2130 +2023-12-24 10:30:54,721 - pyskl - INFO - Epoch [13][900/1281] lr: 2.456e-02, eta: 20:21:55, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.7881, top5_acc: 0.9788, loss_cls: 1.2200, loss: 1.2200 +2023-12-24 10:31:37,051 - pyskl - INFO - Epoch [13][1000/1281] lr: 2.455e-02, eta: 20:21:20, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.7931, top5_acc: 0.9856, loss_cls: 1.1842, loss: 1.1842 +2023-12-24 10:32:19,718 - pyskl - INFO - Epoch [13][1100/1281] lr: 2.455e-02, eta: 20:20:49, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8169, top5_acc: 0.9906, loss_cls: 1.0944, loss: 1.0944 +2023-12-24 10:32:56,460 - pyskl - INFO - Epoch [13][1200/1281] lr: 2.454e-02, eta: 20:19:15, time: 0.367, data_time: 0.001, memory: 4120, top1_acc: 0.7800, top5_acc: 0.9856, loss_cls: 1.2244, loss: 1.2244 +2023-12-24 10:33:21,667 - pyskl - INFO - Saving checkpoint at 13 epochs +2023-12-24 10:34:11,570 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 10:34:11,638 - pyskl - INFO - +top1_acc 0.7575 +top5_acc 0.9790 +2023-12-24 10:34:11,639 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 10:34:11,651 - pyskl - INFO - +mean_acc 0.6582 +2023-12-24 10:34:11,655 - pyskl - INFO - Epoch(val) [13][533] top1_acc: 0.7575, top5_acc: 0.9790, mean_class_accuracy: 0.6582 +2023-12-24 10:35:14,507 - pyskl - INFO - Epoch [14][100/1281] lr: 2.453e-02, eta: 20:15:48, time: 0.628, data_time: 0.194, memory: 4120, top1_acc: 0.7963, top5_acc: 0.9881, loss_cls: 1.1776, loss: 1.1776 +2023-12-24 10:35:57,941 - pyskl - INFO - Epoch [14][200/1281] lr: 2.453e-02, eta: 20:15:25, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8131, top5_acc: 0.9900, loss_cls: 1.1270, loss: 1.1270 +2023-12-24 10:36:40,062 - pyskl - INFO - Epoch [14][300/1281] lr: 2.452e-02, eta: 20:14:49, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8069, top5_acc: 0.9819, loss_cls: 1.1543, loss: 1.1543 +2023-12-24 10:37:22,482 - pyskl - INFO - Epoch [14][400/1281] lr: 2.452e-02, eta: 20:14:16, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8169, top5_acc: 0.9925, loss_cls: 1.1141, loss: 1.1141 +2023-12-24 10:38:05,035 - pyskl - INFO - Epoch [14][500/1281] lr: 2.451e-02, eta: 20:13:44, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8163, top5_acc: 0.9881, loss_cls: 1.1236, loss: 1.1236 +2023-12-24 10:38:47,181 - pyskl - INFO - Epoch [14][600/1281] lr: 2.451e-02, eta: 20:13:08, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.7950, top5_acc: 0.9888, loss_cls: 1.1646, loss: 1.1646 +2023-12-24 10:39:30,608 - pyskl - INFO - Epoch [14][700/1281] lr: 2.450e-02, eta: 20:12:44, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8100, top5_acc: 0.9900, loss_cls: 1.1352, loss: 1.1352 +2023-12-24 10:40:13,420 - pyskl - INFO - Epoch [14][800/1281] lr: 2.449e-02, eta: 20:12:14, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9894, loss_cls: 1.0800, loss: 1.0800 +2023-12-24 10:40:55,693 - pyskl - INFO - Epoch [14][900/1281] lr: 2.449e-02, eta: 20:11:39, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.7806, top5_acc: 0.9819, loss_cls: 1.2496, loss: 1.2496 +2023-12-24 10:41:37,901 - pyskl - INFO - Epoch [14][1000/1281] lr: 2.448e-02, eta: 20:11:03, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.7994, top5_acc: 0.9881, loss_cls: 1.1636, loss: 1.1636 +2023-12-24 10:42:20,488 - pyskl - INFO - Epoch [14][1100/1281] lr: 2.448e-02, eta: 20:10:31, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9869, loss_cls: 1.0898, loss: 1.0898 +2023-12-24 10:42:56,809 - pyskl - INFO - Epoch [14][1200/1281] lr: 2.447e-02, eta: 20:08:57, time: 0.363, data_time: 0.000, memory: 4120, top1_acc: 0.7812, top5_acc: 0.9838, loss_cls: 1.2352, loss: 1.2352 +2023-12-24 10:43:17,803 - pyskl - INFO - Saving checkpoint at 14 epochs +2023-12-24 10:44:13,939 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 10:44:14,014 - pyskl - INFO - +top1_acc 0.7728 +top5_acc 0.9729 +2023-12-24 10:44:14,023 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 10:44:14,037 - pyskl - INFO - +mean_acc 0.6821 +2023-12-24 10:44:14,044 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_12.pth was removed +2023-12-24 10:44:14,353 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. +2023-12-24 10:44:14,354 - pyskl - INFO - Best top1_acc is 0.7728 at 14 epoch. +2023-12-24 10:44:14,357 - pyskl - INFO - Epoch(val) [14][533] top1_acc: 0.7728, top5_acc: 0.9729, mean_class_accuracy: 0.6821 +2023-12-24 10:45:19,935 - pyskl - INFO - Epoch [15][100/1281] lr: 2.446e-02, eta: 20:06:08, time: 0.656, data_time: 0.233, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9894, loss_cls: 1.0704, loss: 1.0704 +2023-12-24 10:46:02,354 - pyskl - INFO - Epoch [15][200/1281] lr: 2.445e-02, eta: 20:05:34, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9894, loss_cls: 1.1097, loss: 1.1097 +2023-12-24 10:46:44,984 - pyskl - INFO - Epoch [15][300/1281] lr: 2.445e-02, eta: 20:05:03, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8231, top5_acc: 0.9862, loss_cls: 1.1283, loss: 1.1283 +2023-12-24 10:47:27,017 - pyskl - INFO - Epoch [15][400/1281] lr: 2.444e-02, eta: 20:04:26, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8075, top5_acc: 0.9925, loss_cls: 1.1430, loss: 1.1430 +2023-12-24 10:48:09,923 - pyskl - INFO - Epoch [15][500/1281] lr: 2.444e-02, eta: 20:03:56, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.7850, top5_acc: 0.9806, loss_cls: 1.2291, loss: 1.2291 +2023-12-24 10:48:53,314 - pyskl - INFO - Epoch [15][600/1281] lr: 2.443e-02, eta: 20:03:32, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8087, top5_acc: 0.9888, loss_cls: 1.1153, loss: 1.1153 +2023-12-24 10:49:36,583 - pyskl - INFO - Epoch [15][700/1281] lr: 2.442e-02, eta: 20:03:06, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8206, top5_acc: 0.9900, loss_cls: 1.1237, loss: 1.1237 +2023-12-24 10:50:19,335 - pyskl - INFO - Epoch [15][800/1281] lr: 2.442e-02, eta: 20:02:35, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8019, top5_acc: 0.9900, loss_cls: 1.1642, loss: 1.1642 +2023-12-24 10:51:02,225 - pyskl - INFO - Epoch [15][900/1281] lr: 2.441e-02, eta: 20:02:05, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8169, top5_acc: 0.9869, loss_cls: 1.1366, loss: 1.1366 +2023-12-24 10:51:44,267 - pyskl - INFO - Epoch [15][1000/1281] lr: 2.441e-02, eta: 20:01:27, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8006, top5_acc: 0.9869, loss_cls: 1.1654, loss: 1.1654 +2023-12-24 10:52:26,767 - pyskl - INFO - Epoch [15][1100/1281] lr: 2.440e-02, eta: 20:00:54, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8156, top5_acc: 0.9888, loss_cls: 1.1147, loss: 1.1147 +2023-12-24 10:53:01,761 - pyskl - INFO - Epoch [15][1200/1281] lr: 2.439e-02, eta: 19:59:12, time: 0.350, data_time: 0.001, memory: 4120, top1_acc: 0.8150, top5_acc: 0.9875, loss_cls: 1.1063, loss: 1.1063 +2023-12-24 10:53:26,743 - pyskl - INFO - Saving checkpoint at 15 epochs +2023-12-24 10:54:23,875 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 10:54:23,953 - pyskl - INFO - +top1_acc 0.7649 +top5_acc 0.9714 +2023-12-24 10:54:23,954 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 10:54:23,964 - pyskl - INFO - +mean_acc 0.6894 +2023-12-24 10:54:23,967 - pyskl - INFO - Epoch(val) [15][533] top1_acc: 0.7649, top5_acc: 0.9714, mean_class_accuracy: 0.6894 +2023-12-24 10:55:27,748 - pyskl - INFO - Epoch [16][100/1281] lr: 2.438e-02, eta: 19:56:14, time: 0.638, data_time: 0.220, memory: 4120, top1_acc: 0.7975, top5_acc: 0.9888, loss_cls: 1.1660, loss: 1.1660 +2023-12-24 10:56:10,397 - pyskl - INFO - Epoch [16][200/1281] lr: 2.438e-02, eta: 19:55:42, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9938, loss_cls: 1.0767, loss: 1.0767 +2023-12-24 10:56:52,660 - pyskl - INFO - Epoch [16][300/1281] lr: 2.437e-02, eta: 19:55:07, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9906, loss_cls: 1.0650, loss: 1.0650 +2023-12-24 10:57:35,914 - pyskl - INFO - Epoch [16][400/1281] lr: 2.436e-02, eta: 19:54:41, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8187, top5_acc: 0.9881, loss_cls: 1.1242, loss: 1.1242 +2023-12-24 10:58:19,500 - pyskl - INFO - Epoch [16][500/1281] lr: 2.436e-02, eta: 19:54:17, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8050, top5_acc: 0.9894, loss_cls: 1.1440, loss: 1.1440 +2023-12-24 10:59:02,338 - pyskl - INFO - Epoch [16][600/1281] lr: 2.435e-02, eta: 19:53:47, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8131, top5_acc: 0.9906, loss_cls: 1.1450, loss: 1.1450 +2023-12-24 10:59:44,498 - pyskl - INFO - Epoch [16][700/1281] lr: 2.434e-02, eta: 19:53:10, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8169, top5_acc: 0.9906, loss_cls: 1.1096, loss: 1.1096 +2023-12-24 11:00:26,773 - pyskl - INFO - Epoch [16][800/1281] lr: 2.434e-02, eta: 19:52:35, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.7812, top5_acc: 0.9894, loss_cls: 1.2057, loss: 1.2057 +2023-12-24 11:01:09,123 - pyskl - INFO - Epoch [16][900/1281] lr: 2.433e-02, eta: 19:52:00, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8163, top5_acc: 0.9944, loss_cls: 1.1218, loss: 1.1218 +2023-12-24 11:01:51,633 - pyskl - INFO - Epoch [16][1000/1281] lr: 2.432e-02, eta: 19:51:26, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9881, loss_cls: 1.1704, loss: 1.1704 +2023-12-24 11:02:34,367 - pyskl - INFO - Epoch [16][1100/1281] lr: 2.432e-02, eta: 19:50:54, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8050, top5_acc: 0.9888, loss_cls: 1.1397, loss: 1.1397 +2023-12-24 11:03:06,544 - pyskl - INFO - Epoch [16][1200/1281] lr: 2.431e-02, eta: 19:48:54, time: 0.322, data_time: 0.001, memory: 4120, top1_acc: 0.8169, top5_acc: 0.9862, loss_cls: 1.1292, loss: 1.1292 +2023-12-24 11:03:35,939 - pyskl - INFO - Saving checkpoint at 16 epochs +2023-12-24 11:04:27,505 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:04:27,584 - pyskl - INFO - +top1_acc 0.7742 +top5_acc 0.9798 +2023-12-24 11:04:27,584 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:04:27,600 - pyskl - INFO - +mean_acc 0.6837 +2023-12-24 11:04:27,612 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_14.pth was removed +2023-12-24 11:04:27,912 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. +2023-12-24 11:04:27,913 - pyskl - INFO - Best top1_acc is 0.7742 at 16 epoch. +2023-12-24 11:04:27,916 - pyskl - INFO - Epoch(val) [16][533] top1_acc: 0.7742, top5_acc: 0.9798, mean_class_accuracy: 0.6837 +2023-12-24 11:05:33,453 - pyskl - INFO - Epoch [17][100/1281] lr: 2.430e-02, eta: 19:46:18, time: 0.655, data_time: 0.234, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9931, loss_cls: 1.0724, loss: 1.0724 +2023-12-24 11:06:15,604 - pyskl - INFO - Epoch [17][200/1281] lr: 2.429e-02, eta: 19:45:42, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9900, loss_cls: 1.0615, loss: 1.0615 +2023-12-24 11:06:57,667 - pyskl - INFO - Epoch [17][300/1281] lr: 2.428e-02, eta: 19:45:05, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9938, loss_cls: 1.0438, loss: 1.0438 +2023-12-24 11:07:40,224 - pyskl - INFO - Epoch [17][400/1281] lr: 2.428e-02, eta: 19:44:32, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8137, top5_acc: 0.9862, loss_cls: 1.1180, loss: 1.1180 +2023-12-24 11:08:22,832 - pyskl - INFO - Epoch [17][500/1281] lr: 2.427e-02, eta: 19:44:00, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9888, loss_cls: 1.1242, loss: 1.1242 +2023-12-24 11:09:04,940 - pyskl - INFO - Epoch [17][600/1281] lr: 2.426e-02, eta: 19:43:23, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9925, loss_cls: 1.0697, loss: 1.0697 +2023-12-24 11:09:47,163 - pyskl - INFO - Epoch [17][700/1281] lr: 2.426e-02, eta: 19:42:48, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8200, top5_acc: 0.9869, loss_cls: 1.1142, loss: 1.1142 +2023-12-24 11:10:29,675 - pyskl - INFO - Epoch [17][800/1281] lr: 2.425e-02, eta: 19:42:14, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9881, loss_cls: 1.1184, loss: 1.1184 +2023-12-24 11:11:12,615 - pyskl - INFO - Epoch [17][900/1281] lr: 2.424e-02, eta: 19:41:44, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9869, loss_cls: 1.1176, loss: 1.1176 +2023-12-24 11:11:55,160 - pyskl - INFO - Epoch [17][1000/1281] lr: 2.424e-02, eta: 19:41:10, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8150, top5_acc: 0.9894, loss_cls: 1.1015, loss: 1.1015 +2023-12-24 11:12:36,776 - pyskl - INFO - Epoch [17][1100/1281] lr: 2.423e-02, eta: 19:40:30, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.8131, top5_acc: 0.9875, loss_cls: 1.1398, loss: 1.1398 +2023-12-24 11:13:07,901 - pyskl - INFO - Epoch [17][1200/1281] lr: 2.422e-02, eta: 19:38:26, time: 0.311, data_time: 0.001, memory: 4120, top1_acc: 0.8269, top5_acc: 0.9869, loss_cls: 1.0828, loss: 1.0828 +2023-12-24 11:13:37,628 - pyskl - INFO - Saving checkpoint at 17 epochs +2023-12-24 11:14:37,584 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:14:37,652 - pyskl - INFO - +top1_acc 0.7817 +top5_acc 0.9835 +2023-12-24 11:14:37,653 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:14:37,670 - pyskl - INFO - +mean_acc 0.6782 +2023-12-24 11:14:37,688 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_16.pth was removed +2023-12-24 11:14:37,927 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. +2023-12-24 11:14:37,928 - pyskl - INFO - Best top1_acc is 0.7817 at 17 epoch. +2023-12-24 11:14:37,935 - pyskl - INFO - Epoch(val) [17][533] top1_acc: 0.7817, top5_acc: 0.9835, mean_class_accuracy: 0.6782 +2023-12-24 11:15:44,144 - pyskl - INFO - Epoch [18][100/1281] lr: 2.421e-02, eta: 19:36:02, time: 0.662, data_time: 0.230, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9950, loss_cls: 1.0451, loss: 1.0451 +2023-12-24 11:16:26,385 - pyskl - INFO - Epoch [18][200/1281] lr: 2.420e-02, eta: 19:35:27, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9894, loss_cls: 1.0169, loss: 1.0169 +2023-12-24 11:17:08,072 - pyskl - INFO - Epoch [18][300/1281] lr: 2.419e-02, eta: 19:34:47, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9919, loss_cls: 1.0710, loss: 1.0710 +2023-12-24 11:17:50,435 - pyskl - INFO - Epoch [18][400/1281] lr: 2.419e-02, eta: 19:34:13, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9925, loss_cls: 1.0603, loss: 1.0603 +2023-12-24 11:18:32,906 - pyskl - INFO - Epoch [18][500/1281] lr: 2.418e-02, eta: 19:33:39, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9900, loss_cls: 1.0819, loss: 1.0819 +2023-12-24 11:19:15,922 - pyskl - INFO - Epoch [18][600/1281] lr: 2.417e-02, eta: 19:33:10, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8125, top5_acc: 0.9906, loss_cls: 1.1246, loss: 1.1246 +2023-12-24 11:19:58,284 - pyskl - INFO - Epoch [18][700/1281] lr: 2.417e-02, eta: 19:32:35, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9869, loss_cls: 1.1106, loss: 1.1106 +2023-12-24 11:20:41,345 - pyskl - INFO - Epoch [18][800/1281] lr: 2.416e-02, eta: 19:32:05, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9838, loss_cls: 1.1205, loss: 1.1205 +2023-12-24 11:21:23,113 - pyskl - INFO - Epoch [18][900/1281] lr: 2.415e-02, eta: 19:31:26, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8225, top5_acc: 0.9869, loss_cls: 1.0940, loss: 1.0940 +2023-12-24 11:22:05,696 - pyskl - INFO - Epoch [18][1000/1281] lr: 2.414e-02, eta: 19:30:53, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8419, top5_acc: 0.9931, loss_cls: 1.0345, loss: 1.0345 +2023-12-24 11:22:48,610 - pyskl - INFO - Epoch [18][1100/1281] lr: 2.414e-02, eta: 19:30:22, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9931, loss_cls: 1.0662, loss: 1.0662 +2023-12-24 11:23:17,843 - pyskl - INFO - Epoch [18][1200/1281] lr: 2.413e-02, eta: 19:28:10, time: 0.292, data_time: 0.001, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9900, loss_cls: 1.0691, loss: 1.0691 +2023-12-24 11:23:49,428 - pyskl - INFO - Saving checkpoint at 18 epochs +2023-12-24 11:24:52,369 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:24:52,441 - pyskl - INFO - +top1_acc 0.7660 +top5_acc 0.9809 +2023-12-24 11:24:52,441 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:24:52,454 - pyskl - INFO - +mean_acc 0.6962 +2023-12-24 11:24:52,458 - pyskl - INFO - Epoch(val) [18][533] top1_acc: 0.7660, top5_acc: 0.9809, mean_class_accuracy: 0.6962 +2023-12-24 11:25:55,018 - pyskl - INFO - Epoch [19][100/1281] lr: 2.411e-02, eta: 19:25:25, time: 0.626, data_time: 0.197, memory: 4120, top1_acc: 0.8300, top5_acc: 0.9938, loss_cls: 1.0798, loss: 1.0798 +2023-12-24 11:26:37,954 - pyskl - INFO - Epoch [19][200/1281] lr: 2.411e-02, eta: 19:24:54, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9862, loss_cls: 1.0836, loss: 1.0836 +2023-12-24 11:27:20,250 - pyskl - INFO - Epoch [19][300/1281] lr: 2.410e-02, eta: 19:24:20, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9906, loss_cls: 1.0910, loss: 1.0910 +2023-12-24 11:28:02,399 - pyskl - INFO - Epoch [19][400/1281] lr: 2.409e-02, eta: 19:23:44, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9925, loss_cls: 1.0547, loss: 1.0547 +2023-12-24 11:28:44,957 - pyskl - INFO - Epoch [19][500/1281] lr: 2.408e-02, eta: 19:23:11, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9881, loss_cls: 1.0737, loss: 1.0737 +2023-12-24 11:29:27,484 - pyskl - INFO - Epoch [19][600/1281] lr: 2.408e-02, eta: 19:22:37, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8306, top5_acc: 0.9900, loss_cls: 1.0630, loss: 1.0630 +2023-12-24 11:30:09,177 - pyskl - INFO - Epoch [19][700/1281] lr: 2.407e-02, eta: 19:21:58, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.8337, top5_acc: 0.9912, loss_cls: 1.0505, loss: 1.0505 +2023-12-24 11:30:51,810 - pyskl - INFO - Epoch [19][800/1281] lr: 2.406e-02, eta: 19:21:25, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9862, loss_cls: 1.0931, loss: 1.0931 +2023-12-24 11:31:34,359 - pyskl - INFO - Epoch [19][900/1281] lr: 2.405e-02, eta: 19:20:52, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9894, loss_cls: 1.0868, loss: 1.0868 +2023-12-24 11:32:17,180 - pyskl - INFO - Epoch [19][1000/1281] lr: 2.405e-02, eta: 19:20:20, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9869, loss_cls: 1.0927, loss: 1.0927 +2023-12-24 11:32:59,397 - pyskl - INFO - Epoch [19][1100/1281] lr: 2.404e-02, eta: 19:19:44, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9925, loss_cls: 1.1041, loss: 1.1041 +2023-12-24 11:33:26,648 - pyskl - INFO - Epoch [19][1200/1281] lr: 2.403e-02, eta: 19:17:25, time: 0.272, data_time: 0.001, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9894, loss_cls: 1.0489, loss: 1.0489 +2023-12-24 11:34:01,946 - pyskl - INFO - Saving checkpoint at 19 epochs +2023-12-24 11:35:00,410 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:35:00,480 - pyskl - INFO - +top1_acc 0.7325 +top5_acc 0.9671 +2023-12-24 11:35:00,480 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:35:00,491 - pyskl - INFO - +mean_acc 0.6530 +2023-12-24 11:35:00,495 - pyskl - INFO - Epoch(val) [19][533] top1_acc: 0.7325, top5_acc: 0.9671, mean_class_accuracy: 0.6530 +2023-12-24 11:36:05,533 - pyskl - INFO - Epoch [20][100/1281] lr: 2.402e-02, eta: 19:15:02, time: 0.650, data_time: 0.228, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9875, loss_cls: 1.0587, loss: 1.0587 +2023-12-24 11:36:47,720 - pyskl - INFO - Epoch [20][200/1281] lr: 2.401e-02, eta: 19:14:27, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9931, loss_cls: 1.0059, loss: 1.0059 +2023-12-24 11:37:30,620 - pyskl - INFO - Epoch [20][300/1281] lr: 2.400e-02, eta: 19:13:56, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8244, top5_acc: 0.9844, loss_cls: 1.1019, loss: 1.1019 +2023-12-24 11:38:13,189 - pyskl - INFO - Epoch [20][400/1281] lr: 2.399e-02, eta: 19:13:23, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8263, top5_acc: 0.9888, loss_cls: 1.0690, loss: 1.0690 +2023-12-24 11:38:55,369 - pyskl - INFO - Epoch [20][500/1281] lr: 2.398e-02, eta: 19:12:48, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9912, loss_cls: 1.0967, loss: 1.0967 +2023-12-24 11:39:37,786 - pyskl - INFO - Epoch [20][600/1281] lr: 2.398e-02, eta: 19:12:14, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9931, loss_cls: 1.0350, loss: 1.0350 +2023-12-24 11:40:20,502 - pyskl - INFO - Epoch [20][700/1281] lr: 2.397e-02, eta: 19:11:41, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8294, top5_acc: 0.9869, loss_cls: 1.0893, loss: 1.0893 +2023-12-24 11:41:03,989 - pyskl - INFO - Epoch [20][800/1281] lr: 2.396e-02, eta: 19:11:14, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9931, loss_cls: 1.0486, loss: 1.0486 +2023-12-24 11:41:47,175 - pyskl - INFO - Epoch [20][900/1281] lr: 2.395e-02, eta: 19:10:45, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9950, loss_cls: 1.0551, loss: 1.0551 +2023-12-24 11:42:30,028 - pyskl - INFO - Epoch [20][1000/1281] lr: 2.394e-02, eta: 19:10:13, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8287, top5_acc: 0.9919, loss_cls: 1.0733, loss: 1.0733 +2023-12-24 11:43:11,860 - pyskl - INFO - Epoch [20][1100/1281] lr: 2.393e-02, eta: 19:09:35, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9881, loss_cls: 1.0679, loss: 1.0679 +2023-12-24 11:43:35,753 - pyskl - INFO - Epoch [20][1200/1281] lr: 2.393e-02, eta: 19:07:00, time: 0.239, data_time: 0.001, memory: 4120, top1_acc: 0.8106, top5_acc: 0.9850, loss_cls: 1.1235, loss: 1.1235 +2023-12-24 11:44:10,800 - pyskl - INFO - Saving checkpoint at 20 epochs +2023-12-24 11:45:16,023 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:45:16,089 - pyskl - INFO - +top1_acc 0.7812 +top5_acc 0.9799 +2023-12-24 11:45:16,090 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:45:16,104 - pyskl - INFO - +mean_acc 0.7115 +2023-12-24 11:45:16,108 - pyskl - INFO - Epoch(val) [20][533] top1_acc: 0.7812, top5_acc: 0.9799, mean_class_accuracy: 0.7115 +2023-12-24 11:46:21,254 - pyskl - INFO - Epoch [21][100/1281] lr: 2.391e-02, eta: 19:04:43, time: 0.651, data_time: 0.227, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9912, loss_cls: 1.0422, loss: 1.0422 +2023-12-24 11:47:03,024 - pyskl - INFO - Epoch [21][200/1281] lr: 2.390e-02, eta: 19:04:04, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8313, top5_acc: 0.9931, loss_cls: 1.0670, loss: 1.0670 +2023-12-24 11:47:45,271 - pyskl - INFO - Epoch [21][300/1281] lr: 2.389e-02, eta: 19:03:29, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8119, top5_acc: 0.9925, loss_cls: 1.1316, loss: 1.1316 +2023-12-24 11:48:27,554 - pyskl - INFO - Epoch [21][400/1281] lr: 2.389e-02, eta: 19:02:55, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8394, top5_acc: 0.9944, loss_cls: 1.0351, loss: 1.0351 +2023-12-24 11:49:10,556 - pyskl - INFO - Epoch [21][500/1281] lr: 2.388e-02, eta: 19:02:24, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9906, loss_cls: 1.0350, loss: 1.0350 +2023-12-24 11:49:53,225 - pyskl - INFO - Epoch [21][600/1281] lr: 2.387e-02, eta: 19:01:52, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9888, loss_cls: 1.0326, loss: 1.0326 +2023-12-24 11:50:36,222 - pyskl - INFO - Epoch [21][700/1281] lr: 2.386e-02, eta: 19:01:21, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8325, top5_acc: 0.9894, loss_cls: 1.0756, loss: 1.0756 +2023-12-24 11:51:18,292 - pyskl - INFO - Epoch [21][800/1281] lr: 2.385e-02, eta: 19:00:45, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9869, loss_cls: 1.0271, loss: 1.0271 +2023-12-24 11:52:00,067 - pyskl - INFO - Epoch [21][900/1281] lr: 2.384e-02, eta: 19:00:06, time: 0.418, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9912, loss_cls: 1.0051, loss: 1.0051 +2023-12-24 11:52:42,390 - pyskl - INFO - Epoch [21][1000/1281] lr: 2.383e-02, eta: 18:59:31, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8250, top5_acc: 0.9925, loss_cls: 1.0713, loss: 1.0713 +2023-12-24 11:53:24,614 - pyskl - INFO - Epoch [21][1100/1281] lr: 2.383e-02, eta: 18:58:56, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9931, loss_cls: 1.0012, loss: 1.0012 +2023-12-24 11:53:48,757 - pyskl - INFO - Epoch [21][1200/1281] lr: 2.382e-02, eta: 18:56:29, time: 0.241, data_time: 0.001, memory: 4120, top1_acc: 0.8400, top5_acc: 0.9931, loss_cls: 1.0188, loss: 1.0188 +2023-12-24 11:54:26,141 - pyskl - INFO - Saving checkpoint at 21 epochs +2023-12-24 11:55:33,228 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:55:33,296 - pyskl - INFO - +top1_acc 0.7770 +top5_acc 0.9809 +2023-12-24 11:55:33,297 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:55:33,304 - pyskl - INFO - +mean_acc 0.7111 +2023-12-24 11:55:33,306 - pyskl - INFO - Epoch(val) [21][533] top1_acc: 0.7770, top5_acc: 0.9809, mean_class_accuracy: 0.7111 +2023-12-24 11:56:34,026 - pyskl - INFO - Epoch [22][100/1281] lr: 2.380e-02, eta: 18:53:49, time: 0.607, data_time: 0.176, memory: 4120, top1_acc: 0.8213, top5_acc: 0.9938, loss_cls: 1.1096, loss: 1.1096 +2023-12-24 11:57:16,353 - pyskl - INFO - Epoch [22][200/1281] lr: 2.379e-02, eta: 18:53:15, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9950, loss_cls: 0.9817, loss: 0.9817 +2023-12-24 11:57:58,541 - pyskl - INFO - Epoch [22][300/1281] lr: 2.378e-02, eta: 18:52:39, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9912, loss_cls: 1.0323, loss: 1.0323 +2023-12-24 11:58:41,772 - pyskl - INFO - Epoch [22][400/1281] lr: 2.378e-02, eta: 18:52:10, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8406, top5_acc: 0.9931, loss_cls: 1.0606, loss: 1.0606 +2023-12-24 11:59:24,228 - pyskl - INFO - Epoch [22][500/1281] lr: 2.377e-02, eta: 18:51:37, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9956, loss_cls: 1.0113, loss: 1.0113 +2023-12-24 12:00:05,917 - pyskl - INFO - Epoch [22][600/1281] lr: 2.376e-02, eta: 18:50:58, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9912, loss_cls: 1.0747, loss: 1.0747 +2023-12-24 12:00:48,202 - pyskl - INFO - Epoch [22][700/1281] lr: 2.375e-02, eta: 18:50:23, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8369, top5_acc: 0.9925, loss_cls: 1.0455, loss: 1.0455 +2023-12-24 12:01:30,372 - pyskl - INFO - Epoch [22][800/1281] lr: 2.374e-02, eta: 18:49:48, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9938, loss_cls: 1.0404, loss: 1.0404 +2023-12-24 12:02:12,573 - pyskl - INFO - Epoch [22][900/1281] lr: 2.373e-02, eta: 18:49:12, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9912, loss_cls: 1.0229, loss: 1.0229 +2023-12-24 12:02:55,431 - pyskl - INFO - Epoch [22][1000/1281] lr: 2.372e-02, eta: 18:48:41, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9931, loss_cls: 1.0558, loss: 1.0558 +2023-12-24 12:03:38,044 - pyskl - INFO - Epoch [22][1100/1281] lr: 2.371e-02, eta: 18:48:08, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9906, loss_cls: 1.0081, loss: 1.0081 +2023-12-24 12:04:03,381 - pyskl - INFO - Epoch [22][1200/1281] lr: 2.370e-02, eta: 18:45:54, time: 0.253, data_time: 0.001, memory: 4120, top1_acc: 0.8281, top5_acc: 0.9881, loss_cls: 1.0583, loss: 1.0583 +2023-12-24 12:04:39,104 - pyskl - INFO - Saving checkpoint at 22 epochs +2023-12-24 12:05:44,122 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:05:44,194 - pyskl - INFO - +top1_acc 0.7716 +top5_acc 0.9764 +2023-12-24 12:05:44,194 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:05:44,201 - pyskl - INFO - +mean_acc 0.7058 +2023-12-24 12:05:44,204 - pyskl - INFO - Epoch(val) [22][533] top1_acc: 0.7716, top5_acc: 0.9764, mean_class_accuracy: 0.7058 +2023-12-24 12:06:49,616 - pyskl - INFO - Epoch [23][100/1281] lr: 2.369e-02, eta: 18:43:46, time: 0.654, data_time: 0.218, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9950, loss_cls: 0.9579, loss: 0.9579 +2023-12-24 12:07:32,842 - pyskl - INFO - Epoch [23][200/1281] lr: 2.368e-02, eta: 18:43:17, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9900, loss_cls: 0.9984, loss: 0.9984 +2023-12-24 12:08:15,123 - pyskl - INFO - Epoch [23][300/1281] lr: 2.367e-02, eta: 18:42:42, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9931, loss_cls: 1.0012, loss: 1.0012 +2023-12-24 12:08:58,022 - pyskl - INFO - Epoch [23][400/1281] lr: 2.366e-02, eta: 18:42:11, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9925, loss_cls: 1.0082, loss: 1.0082 +2023-12-24 12:09:41,117 - pyskl - INFO - Epoch [23][500/1281] lr: 2.365e-02, eta: 18:41:41, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9931, loss_cls: 0.9867, loss: 0.9867 +2023-12-24 12:10:24,085 - pyskl - INFO - Epoch [23][600/1281] lr: 2.364e-02, eta: 18:41:10, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9919, loss_cls: 1.0526, loss: 1.0526 +2023-12-24 12:11:06,158 - pyskl - INFO - Epoch [23][700/1281] lr: 2.363e-02, eta: 18:40:34, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9938, loss_cls: 1.0375, loss: 1.0375 +2023-12-24 12:11:47,707 - pyskl - INFO - Epoch [23][800/1281] lr: 2.362e-02, eta: 18:39:55, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.8356, top5_acc: 0.9912, loss_cls: 1.0792, loss: 1.0792 +2023-12-24 12:12:30,638 - pyskl - INFO - Epoch [23][900/1281] lr: 2.361e-02, eta: 18:39:23, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9938, loss_cls: 1.0321, loss: 1.0321 +2023-12-24 12:13:14,336 - pyskl - INFO - Epoch [23][1000/1281] lr: 2.360e-02, eta: 18:38:56, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9912, loss_cls: 1.0911, loss: 1.0911 +2023-12-24 12:13:58,095 - pyskl - INFO - Epoch [23][1100/1281] lr: 2.359e-02, eta: 18:38:29, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8444, top5_acc: 0.9875, loss_cls: 1.0434, loss: 1.0434 +2023-12-24 12:14:20,451 - pyskl - INFO - Epoch [23][1200/1281] lr: 2.359e-02, eta: 18:36:04, time: 0.224, data_time: 0.001, memory: 4120, top1_acc: 0.8237, top5_acc: 0.9894, loss_cls: 1.0841, loss: 1.0841 +2023-12-24 12:14:56,766 - pyskl - INFO - Saving checkpoint at 23 epochs +2023-12-24 12:15:55,351 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:15:55,406 - pyskl - INFO - +top1_acc 0.8079 +top5_acc 0.9839 +2023-12-24 12:15:55,407 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:15:55,415 - pyskl - INFO - +mean_acc 0.7378 +2023-12-24 12:15:55,419 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_17.pth was removed +2023-12-24 12:15:55,765 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2023-12-24 12:15:55,766 - pyskl - INFO - Best top1_acc is 0.8079 at 23 epoch. +2023-12-24 12:15:55,768 - pyskl - INFO - Epoch(val) [23][533] top1_acc: 0.8079, top5_acc: 0.9839, mean_class_accuracy: 0.7378 +2023-12-24 12:16:58,646 - pyskl - INFO - Epoch [24][100/1281] lr: 2.357e-02, eta: 18:33:45, time: 0.629, data_time: 0.210, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9938, loss_cls: 0.9887, loss: 0.9887 +2023-12-24 12:17:40,633 - pyskl - INFO - Epoch [24][200/1281] lr: 2.356e-02, eta: 18:33:09, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9931, loss_cls: 0.9619, loss: 0.9619 +2023-12-24 12:18:22,557 - pyskl - INFO - Epoch [24][300/1281] lr: 2.355e-02, eta: 18:32:32, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8256, top5_acc: 0.9938, loss_cls: 1.0853, loss: 1.0853 +2023-12-24 12:19:04,732 - pyskl - INFO - Epoch [24][400/1281] lr: 2.354e-02, eta: 18:31:57, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9919, loss_cls: 1.0469, loss: 1.0469 +2023-12-24 12:19:47,275 - pyskl - INFO - Epoch [24][500/1281] lr: 2.353e-02, eta: 18:31:24, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8538, top5_acc: 0.9944, loss_cls: 0.9928, loss: 0.9928 +2023-12-24 12:20:30,077 - pyskl - INFO - Epoch [24][600/1281] lr: 2.352e-02, eta: 18:30:52, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9931, loss_cls: 1.0544, loss: 1.0544 +2023-12-24 12:21:12,707 - pyskl - INFO - Epoch [24][700/1281] lr: 2.351e-02, eta: 18:30:19, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9912, loss_cls: 1.0258, loss: 1.0258 +2023-12-24 12:21:54,777 - pyskl - INFO - Epoch [24][800/1281] lr: 2.350e-02, eta: 18:29:43, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8375, top5_acc: 0.9906, loss_cls: 1.0835, loss: 1.0835 +2023-12-24 12:22:36,662 - pyskl - INFO - Epoch [24][900/1281] lr: 2.349e-02, eta: 18:29:06, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9875, loss_cls: 1.0512, loss: 1.0512 +2023-12-24 12:23:18,521 - pyskl - INFO - Epoch [24][1000/1281] lr: 2.348e-02, eta: 18:28:28, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9894, loss_cls: 1.0522, loss: 1.0522 +2023-12-24 12:24:00,917 - pyskl - INFO - Epoch [24][1100/1281] lr: 2.347e-02, eta: 18:27:54, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9931, loss_cls: 1.0299, loss: 1.0299 +2023-12-24 12:24:25,945 - pyskl - INFO - Epoch [24][1200/1281] lr: 2.346e-02, eta: 18:25:48, time: 0.250, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9925, loss_cls: 1.0115, loss: 1.0115 +2023-12-24 12:25:00,911 - pyskl - INFO - Saving checkpoint at 24 epochs +2023-12-24 12:26:02,606 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:26:02,662 - pyskl - INFO - +top1_acc 0.7884 +top5_acc 0.9843 +2023-12-24 12:26:02,663 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:26:02,671 - pyskl - INFO - +mean_acc 0.6870 +2023-12-24 12:26:02,673 - pyskl - INFO - Epoch(val) [24][533] top1_acc: 0.7884, top5_acc: 0.9843, mean_class_accuracy: 0.6870 +2023-12-24 12:27:03,355 - pyskl - INFO - Epoch [25][100/1281] lr: 2.344e-02, eta: 18:23:22, time: 0.607, data_time: 0.178, memory: 4120, top1_acc: 0.8500, top5_acc: 0.9925, loss_cls: 1.0026, loss: 1.0026 +2023-12-24 12:27:46,014 - pyskl - INFO - Epoch [25][200/1281] lr: 2.343e-02, eta: 18:22:49, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9906, loss_cls: 1.0256, loss: 1.0256 +2023-12-24 12:28:27,902 - pyskl - INFO - Epoch [25][300/1281] lr: 2.342e-02, eta: 18:22:13, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9925, loss_cls: 1.0035, loss: 1.0035 +2023-12-24 12:29:09,817 - pyskl - INFO - Epoch [25][400/1281] lr: 2.341e-02, eta: 18:21:36, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8438, top5_acc: 0.9969, loss_cls: 1.0099, loss: 1.0099 +2023-12-24 12:29:51,244 - pyskl - INFO - Epoch [25][500/1281] lr: 2.340e-02, eta: 18:20:57, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9938, loss_cls: 1.0099, loss: 1.0099 +2023-12-24 12:30:32,959 - pyskl - INFO - Epoch [25][600/1281] lr: 2.339e-02, eta: 18:20:19, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9919, loss_cls: 0.9750, loss: 0.9750 +2023-12-24 12:31:15,674 - pyskl - INFO - Epoch [25][700/1281] lr: 2.338e-02, eta: 18:19:47, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9962, loss_cls: 0.9921, loss: 0.9921 +2023-12-24 12:31:57,672 - pyskl - INFO - Epoch [25][800/1281] lr: 2.337e-02, eta: 18:19:10, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9912, loss_cls: 1.0598, loss: 1.0598 +2023-12-24 12:32:39,732 - pyskl - INFO - Epoch [25][900/1281] lr: 2.336e-02, eta: 18:18:34, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9838, loss_cls: 1.0693, loss: 1.0693 +2023-12-24 12:33:20,945 - pyskl - INFO - Epoch [25][1000/1281] lr: 2.335e-02, eta: 18:17:54, time: 0.412, data_time: 0.000, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9931, loss_cls: 1.0250, loss: 1.0250 +2023-12-24 12:34:03,252 - pyskl - INFO - Epoch [25][1100/1281] lr: 2.334e-02, eta: 18:17:19, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8350, top5_acc: 0.9956, loss_cls: 1.0279, loss: 1.0279 +2023-12-24 12:34:32,456 - pyskl - INFO - Epoch [25][1200/1281] lr: 2.333e-02, eta: 18:15:39, time: 0.292, data_time: 0.000, memory: 4120, top1_acc: 0.8413, top5_acc: 0.9850, loss_cls: 1.0692, loss: 1.0692 +2023-12-24 12:35:04,723 - pyskl - INFO - Saving checkpoint at 25 epochs +2023-12-24 12:36:04,741 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:36:04,801 - pyskl - INFO - +top1_acc 0.8241 +top5_acc 0.9850 +2023-12-24 12:36:04,801 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:36:04,813 - pyskl - INFO - +mean_acc 0.7489 +2023-12-24 12:36:04,821 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_23.pth was removed +2023-12-24 12:36:05,017 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. +2023-12-24 12:36:05,017 - pyskl - INFO - Best top1_acc is 0.8241 at 25 epoch. +2023-12-24 12:36:05,020 - pyskl - INFO - Epoch(val) [25][533] top1_acc: 0.8241, top5_acc: 0.9850, mean_class_accuracy: 0.7489 +2023-12-24 12:37:04,356 - pyskl - INFO - Epoch [26][100/1281] lr: 2.332e-02, eta: 18:13:10, time: 0.593, data_time: 0.179, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9906, loss_cls: 1.0066, loss: 1.0066 +2023-12-24 12:37:47,036 - pyskl - INFO - Epoch [26][200/1281] lr: 2.330e-02, eta: 18:12:37, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9938, loss_cls: 0.9606, loss: 0.9606 +2023-12-24 12:38:29,220 - pyskl - INFO - Epoch [26][300/1281] lr: 2.329e-02, eta: 18:12:02, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9956, loss_cls: 1.0080, loss: 1.0080 +2023-12-24 12:39:11,974 - pyskl - INFO - Epoch [26][400/1281] lr: 2.328e-02, eta: 18:11:30, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9956, loss_cls: 1.0003, loss: 1.0003 +2023-12-24 12:39:53,881 - pyskl - INFO - Epoch [26][500/1281] lr: 2.327e-02, eta: 18:10:53, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9919, loss_cls: 1.0079, loss: 1.0079 +2023-12-24 12:40:35,670 - pyskl - INFO - Epoch [26][600/1281] lr: 2.326e-02, eta: 18:10:16, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8400, top5_acc: 0.9912, loss_cls: 1.0447, loss: 1.0447 +2023-12-24 12:41:18,158 - pyskl - INFO - Epoch [26][700/1281] lr: 2.325e-02, eta: 18:09:42, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9962, loss_cls: 0.9486, loss: 0.9486 +2023-12-24 12:42:00,522 - pyskl - INFO - Epoch [26][800/1281] lr: 2.324e-02, eta: 18:09:08, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9919, loss_cls: 1.0275, loss: 1.0275 +2023-12-24 12:42:42,807 - pyskl - INFO - Epoch [26][900/1281] lr: 2.323e-02, eta: 18:08:33, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9925, loss_cls: 1.0111, loss: 1.0111 +2023-12-24 12:43:25,120 - pyskl - INFO - Epoch [26][1000/1281] lr: 2.322e-02, eta: 18:07:58, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9944, loss_cls: 0.9983, loss: 0.9983 +2023-12-24 12:44:07,635 - pyskl - INFO - Epoch [26][1100/1281] lr: 2.321e-02, eta: 18:07:24, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8087, top5_acc: 0.9850, loss_cls: 1.1188, loss: 1.1188 +2023-12-24 12:44:36,999 - pyskl - INFO - Epoch [26][1200/1281] lr: 2.320e-02, eta: 18:05:47, time: 0.294, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9938, loss_cls: 1.0116, loss: 1.0116 +2023-12-24 12:45:05,726 - pyskl - INFO - Saving checkpoint at 26 epochs +2023-12-24 12:46:01,960 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:46:02,019 - pyskl - INFO - +top1_acc 0.7931 +top5_acc 0.9871 +2023-12-24 12:46:02,020 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:46:02,034 - pyskl - INFO - +mean_acc 0.7037 +2023-12-24 12:46:02,038 - pyskl - INFO - Epoch(val) [26][533] top1_acc: 0.7931, top5_acc: 0.9871, mean_class_accuracy: 0.7037 +2023-12-24 12:47:04,535 - pyskl - INFO - Epoch [27][100/1281] lr: 2.318e-02, eta: 18:03:38, time: 0.625, data_time: 0.204, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9956, loss_cls: 0.9565, loss: 0.9565 +2023-12-24 12:47:46,138 - pyskl - INFO - Epoch [27][200/1281] lr: 2.317e-02, eta: 18:03:00, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9950, loss_cls: 0.9919, loss: 0.9919 +2023-12-24 12:48:28,919 - pyskl - INFO - Epoch [27][300/1281] lr: 2.316e-02, eta: 18:02:27, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9944, loss_cls: 1.0467, loss: 1.0467 +2023-12-24 12:49:11,051 - pyskl - INFO - Epoch [27][400/1281] lr: 2.315e-02, eta: 18:01:52, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9906, loss_cls: 1.0141, loss: 1.0141 +2023-12-24 12:49:53,226 - pyskl - INFO - Epoch [27][500/1281] lr: 2.314e-02, eta: 18:01:16, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9906, loss_cls: 0.9823, loss: 0.9823 +2023-12-24 12:50:35,679 - pyskl - INFO - Epoch [27][600/1281] lr: 2.313e-02, eta: 18:00:42, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8387, top5_acc: 0.9888, loss_cls: 1.0560, loss: 1.0560 +2023-12-24 12:51:17,446 - pyskl - INFO - Epoch [27][700/1281] lr: 2.312e-02, eta: 18:00:05, time: 0.418, data_time: 0.001, memory: 4120, top1_acc: 0.8319, top5_acc: 0.9931, loss_cls: 1.0706, loss: 1.0706 +2023-12-24 12:51:59,717 - pyskl - INFO - Epoch [27][800/1281] lr: 2.311e-02, eta: 17:59:30, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9919, loss_cls: 0.9905, loss: 0.9905 +2023-12-24 12:52:41,884 - pyskl - INFO - Epoch [27][900/1281] lr: 2.310e-02, eta: 17:58:55, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9962, loss_cls: 0.9980, loss: 0.9980 +2023-12-24 12:53:24,478 - pyskl - INFO - Epoch [27][1000/1281] lr: 2.308e-02, eta: 17:58:21, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9944, loss_cls: 0.9612, loss: 0.9612 +2023-12-24 12:54:06,681 - pyskl - INFO - Epoch [27][1100/1281] lr: 2.307e-02, eta: 17:57:46, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8344, top5_acc: 0.9894, loss_cls: 1.0696, loss: 1.0696 +2023-12-24 12:54:35,679 - pyskl - INFO - Epoch [27][1200/1281] lr: 2.306e-02, eta: 17:56:10, time: 0.290, data_time: 0.000, memory: 4120, top1_acc: 0.8525, top5_acc: 0.9938, loss_cls: 0.9988, loss: 0.9988 +2023-12-24 12:55:04,945 - pyskl - INFO - Saving checkpoint at 27 epochs +2023-12-24 12:56:02,640 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:56:02,715 - pyskl - INFO - +top1_acc 0.8154 +top5_acc 0.9874 +2023-12-24 12:56:02,715 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:56:02,730 - pyskl - INFO - +mean_acc 0.7317 +2023-12-24 12:56:02,736 - pyskl - INFO - Epoch(val) [27][533] top1_acc: 0.8154, top5_acc: 0.9874, mean_class_accuracy: 0.7317 +2023-12-24 12:57:06,377 - pyskl - INFO - Epoch [28][100/1281] lr: 2.304e-02, eta: 17:54:08, time: 0.636, data_time: 0.212, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9938, loss_cls: 0.9456, loss: 0.9456 +2023-12-24 12:57:48,730 - pyskl - INFO - Epoch [28][200/1281] lr: 2.303e-02, eta: 17:53:33, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9969, loss_cls: 0.9701, loss: 0.9701 +2023-12-24 12:58:30,233 - pyskl - INFO - Epoch [28][300/1281] lr: 2.302e-02, eta: 17:52:55, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9944, loss_cls: 1.0101, loss: 1.0101 +2023-12-24 12:59:12,537 - pyskl - INFO - Epoch [28][400/1281] lr: 2.301e-02, eta: 17:52:20, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8494, top5_acc: 0.9931, loss_cls: 1.0118, loss: 1.0118 +2023-12-24 12:59:54,802 - pyskl - INFO - Epoch [28][500/1281] lr: 2.300e-02, eta: 17:51:45, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9881, loss_cls: 1.0162, loss: 1.0162 +2023-12-24 13:00:36,921 - pyskl - INFO - Epoch [28][600/1281] lr: 2.299e-02, eta: 17:51:10, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9956, loss_cls: 0.9478, loss: 0.9478 +2023-12-24 13:01:19,025 - pyskl - INFO - Epoch [28][700/1281] lr: 2.298e-02, eta: 17:50:34, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9900, loss_cls: 0.9983, loss: 0.9983 +2023-12-24 13:02:00,648 - pyskl - INFO - Epoch [28][800/1281] lr: 2.297e-02, eta: 17:49:56, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9956, loss_cls: 1.0013, loss: 1.0013 +2023-12-24 13:02:43,112 - pyskl - INFO - Epoch [28][900/1281] lr: 2.295e-02, eta: 17:49:21, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9919, loss_cls: 1.0208, loss: 1.0208 +2023-12-24 13:03:25,675 - pyskl - INFO - Epoch [28][1000/1281] lr: 2.294e-02, eta: 17:48:48, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9944, loss_cls: 0.9658, loss: 0.9658 +2023-12-24 13:04:08,954 - pyskl - INFO - Epoch [28][1100/1281] lr: 2.293e-02, eta: 17:48:17, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9950, loss_cls: 1.0068, loss: 1.0068 +2023-12-24 13:04:38,480 - pyskl - INFO - Epoch [28][1200/1281] lr: 2.292e-02, eta: 17:46:46, time: 0.295, data_time: 0.001, memory: 4120, top1_acc: 0.8363, top5_acc: 0.9925, loss_cls: 1.0573, loss: 1.0573 +2023-12-24 13:05:09,750 - pyskl - INFO - Saving checkpoint at 28 epochs +2023-12-24 13:06:00,634 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:06:00,709 - pyskl - INFO - +top1_acc 0.8233 +top5_acc 0.9878 +2023-12-24 13:06:00,709 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:06:00,723 - pyskl - INFO - +mean_acc 0.7516 +2023-12-24 13:06:00,726 - pyskl - INFO - Epoch(val) [28][533] top1_acc: 0.8233, top5_acc: 0.9878, mean_class_accuracy: 0.7516 +2023-12-24 13:07:03,866 - pyskl - INFO - Epoch [29][100/1281] lr: 2.290e-02, eta: 17:44:44, time: 0.631, data_time: 0.212, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9962, loss_cls: 0.9271, loss: 0.9271 +2023-12-24 13:07:45,862 - pyskl - INFO - Epoch [29][200/1281] lr: 2.289e-02, eta: 17:44:08, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9944, loss_cls: 0.9410, loss: 0.9410 +2023-12-24 13:08:28,027 - pyskl - INFO - Epoch [29][300/1281] lr: 2.288e-02, eta: 17:43:33, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9938, loss_cls: 1.0172, loss: 1.0172 +2023-12-24 13:09:09,453 - pyskl - INFO - Epoch [29][400/1281] lr: 2.287e-02, eta: 17:42:54, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9931, loss_cls: 0.9861, loss: 0.9861 +2023-12-24 13:09:51,803 - pyskl - INFO - Epoch [29][500/1281] lr: 2.285e-02, eta: 17:42:19, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8575, top5_acc: 0.9925, loss_cls: 0.9928, loss: 0.9928 +2023-12-24 13:10:33,815 - pyskl - INFO - Epoch [29][600/1281] lr: 2.284e-02, eta: 17:41:43, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9956, loss_cls: 0.9361, loss: 0.9361 +2023-12-24 13:11:15,891 - pyskl - INFO - Epoch [29][700/1281] lr: 2.283e-02, eta: 17:41:07, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9956, loss_cls: 0.9724, loss: 0.9724 +2023-12-24 13:11:57,909 - pyskl - INFO - Epoch [29][800/1281] lr: 2.282e-02, eta: 17:40:31, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9919, loss_cls: 0.9818, loss: 0.9818 +2023-12-24 13:12:39,869 - pyskl - INFO - Epoch [29][900/1281] lr: 2.281e-02, eta: 17:39:54, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9962, loss_cls: 0.9891, loss: 0.9891 +2023-12-24 13:13:21,748 - pyskl - INFO - Epoch [29][1000/1281] lr: 2.280e-02, eta: 17:39:17, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8562, top5_acc: 0.9881, loss_cls: 1.0242, loss: 1.0242 +2023-12-24 13:14:04,589 - pyskl - INFO - Epoch [29][1100/1281] lr: 2.279e-02, eta: 17:38:44, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8425, top5_acc: 0.9919, loss_cls: 1.0405, loss: 1.0405 +2023-12-24 13:14:36,269 - pyskl - INFO - Epoch [29][1200/1281] lr: 2.277e-02, eta: 17:37:24, time: 0.317, data_time: 0.001, memory: 4120, top1_acc: 0.8469, top5_acc: 0.9925, loss_cls: 0.9809, loss: 0.9809 +2023-12-24 13:15:02,450 - pyskl - INFO - Saving checkpoint at 29 epochs +2023-12-24 13:15:56,790 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:15:56,844 - pyskl - INFO - +top1_acc 0.8376 +top5_acc 0.9873 +2023-12-24 13:15:56,844 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:15:56,851 - pyskl - INFO - +mean_acc 0.7776 +2023-12-24 13:15:56,855 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_25.pth was removed +2023-12-24 13:15:57,028 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. +2023-12-24 13:15:57,028 - pyskl - INFO - Best top1_acc is 0.8376 at 29 epoch. +2023-12-24 13:15:57,031 - pyskl - INFO - Epoch(val) [29][533] top1_acc: 0.8376, top5_acc: 0.9873, mean_class_accuracy: 0.7776 +2023-12-24 13:16:55,742 - pyskl - INFO - Epoch [30][100/1281] lr: 2.275e-02, eta: 17:35:07, time: 0.587, data_time: 0.167, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9950, loss_cls: 0.9300, loss: 0.9300 +2023-12-24 13:17:37,757 - pyskl - INFO - Epoch [30][200/1281] lr: 2.274e-02, eta: 17:34:30, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9969, loss_cls: 0.8934, loss: 0.8934 +2023-12-24 13:18:19,738 - pyskl - INFO - Epoch [30][300/1281] lr: 2.273e-02, eta: 17:33:54, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9931, loss_cls: 0.9811, loss: 0.9811 +2023-12-24 13:19:01,981 - pyskl - INFO - Epoch [30][400/1281] lr: 2.272e-02, eta: 17:33:19, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9925, loss_cls: 0.9961, loss: 0.9961 +2023-12-24 13:19:44,027 - pyskl - INFO - Epoch [30][500/1281] lr: 2.271e-02, eta: 17:32:43, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8475, top5_acc: 0.9919, loss_cls: 1.0118, loss: 1.0118 +2023-12-24 13:20:25,405 - pyskl - INFO - Epoch [30][600/1281] lr: 2.269e-02, eta: 17:32:04, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9962, loss_cls: 0.9348, loss: 0.9348 +2023-12-24 13:21:07,831 - pyskl - INFO - Epoch [30][700/1281] lr: 2.268e-02, eta: 17:31:29, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9925, loss_cls: 1.0207, loss: 1.0207 +2023-12-24 13:21:49,991 - pyskl - INFO - Epoch [30][800/1281] lr: 2.267e-02, eta: 17:30:54, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8550, top5_acc: 0.9912, loss_cls: 0.9779, loss: 0.9779 +2023-12-24 13:22:31,863 - pyskl - INFO - Epoch [30][900/1281] lr: 2.266e-02, eta: 17:30:17, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9888, loss_cls: 0.9728, loss: 0.9728 +2023-12-24 13:23:14,069 - pyskl - INFO - Epoch [30][1000/1281] lr: 2.265e-02, eta: 17:29:41, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8331, top5_acc: 0.9912, loss_cls: 1.0542, loss: 1.0542 +2023-12-24 13:23:55,402 - pyskl - INFO - Epoch [30][1100/1281] lr: 2.263e-02, eta: 17:29:02, time: 0.413, data_time: 0.000, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9938, loss_cls: 1.0094, loss: 1.0094 +2023-12-24 13:24:30,282 - pyskl - INFO - Epoch [30][1200/1281] lr: 2.262e-02, eta: 17:27:57, time: 0.349, data_time: 0.001, memory: 4120, top1_acc: 0.8450, top5_acc: 0.9925, loss_cls: 1.0411, loss: 1.0411 +2023-12-24 13:24:53,514 - pyskl - INFO - Saving checkpoint at 30 epochs +2023-12-24 13:25:46,745 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:25:46,810 - pyskl - INFO - +top1_acc 0.8139 +top5_acc 0.9796 +2023-12-24 13:25:46,810 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:25:46,817 - pyskl - INFO - +mean_acc 0.7656 +2023-12-24 13:25:46,819 - pyskl - INFO - Epoch(val) [30][533] top1_acc: 0.8139, top5_acc: 0.9796, mean_class_accuracy: 0.7656 +2023-12-24 13:26:50,416 - pyskl - INFO - Epoch [31][100/1281] lr: 2.260e-02, eta: 17:26:01, time: 0.636, data_time: 0.212, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9931, loss_cls: 0.9934, loss: 0.9934 +2023-12-24 13:27:32,106 - pyskl - INFO - Epoch [31][200/1281] lr: 2.259e-02, eta: 17:25:24, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9975, loss_cls: 0.9176, loss: 0.9176 +2023-12-24 13:28:14,180 - pyskl - INFO - Epoch [31][300/1281] lr: 2.258e-02, eta: 17:24:48, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9888, loss_cls: 1.0010, loss: 1.0010 +2023-12-24 13:28:56,867 - pyskl - INFO - Epoch [31][400/1281] lr: 2.256e-02, eta: 17:24:14, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9894, loss_cls: 0.9645, loss: 0.9645 +2023-12-24 13:29:39,815 - pyskl - INFO - Epoch [31][500/1281] lr: 2.255e-02, eta: 17:23:42, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9944, loss_cls: 0.9832, loss: 0.9832 +2023-12-24 13:30:22,469 - pyskl - INFO - Epoch [31][600/1281] lr: 2.254e-02, eta: 17:23:08, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8531, top5_acc: 0.9962, loss_cls: 0.9893, loss: 0.9893 +2023-12-24 13:31:03,868 - pyskl - INFO - Epoch [31][700/1281] lr: 2.253e-02, eta: 17:22:29, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.8462, top5_acc: 0.9894, loss_cls: 1.0313, loss: 1.0313 +2023-12-24 13:31:45,975 - pyskl - INFO - Epoch [31][800/1281] lr: 2.252e-02, eta: 17:21:53, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9944, loss_cls: 0.9679, loss: 0.9679 +2023-12-24 13:32:28,292 - pyskl - INFO - Epoch [31][900/1281] lr: 2.250e-02, eta: 17:21:17, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8456, top5_acc: 0.9900, loss_cls: 1.0435, loss: 1.0435 +2023-12-24 13:33:11,429 - pyskl - INFO - Epoch [31][1000/1281] lr: 2.249e-02, eta: 17:20:45, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9956, loss_cls: 0.9744, loss: 0.9744 +2023-12-24 13:33:53,392 - pyskl - INFO - Epoch [31][1100/1281] lr: 2.248e-02, eta: 17:20:09, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9956, loss_cls: 0.9325, loss: 0.9325 +2023-12-24 13:34:29,369 - pyskl - INFO - Epoch [31][1200/1281] lr: 2.247e-02, eta: 17:19:09, time: 0.360, data_time: 0.000, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9956, loss_cls: 0.8594, loss: 0.8594 +2023-12-24 13:34:52,682 - pyskl - INFO - Saving checkpoint at 31 epochs +2023-12-24 13:35:46,320 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:35:46,381 - pyskl - INFO - +top1_acc 0.8112 +top5_acc 0.9871 +2023-12-24 13:35:46,381 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:35:46,395 - pyskl - INFO - +mean_acc 0.7278 +2023-12-24 13:35:46,402 - pyskl - INFO - Epoch(val) [31][533] top1_acc: 0.8112, top5_acc: 0.9871, mean_class_accuracy: 0.7278 +2023-12-24 13:36:50,023 - pyskl - INFO - Epoch [32][100/1281] lr: 2.244e-02, eta: 17:17:15, time: 0.636, data_time: 0.214, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9894, loss_cls: 0.9972, loss: 0.9972 +2023-12-24 13:37:33,202 - pyskl - INFO - Epoch [32][200/1281] lr: 2.243e-02, eta: 17:16:43, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9950, loss_cls: 0.9547, loss: 0.9547 +2023-12-24 13:38:14,846 - pyskl - INFO - Epoch [32][300/1281] lr: 2.242e-02, eta: 17:16:05, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9938, loss_cls: 0.9345, loss: 0.9345 +2023-12-24 13:38:56,829 - pyskl - INFO - Epoch [32][400/1281] lr: 2.241e-02, eta: 17:15:29, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9944, loss_cls: 0.9885, loss: 0.9885 +2023-12-24 13:39:39,201 - pyskl - INFO - Epoch [32][500/1281] lr: 2.239e-02, eta: 17:14:53, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9919, loss_cls: 0.9643, loss: 0.9643 +2023-12-24 13:40:21,931 - pyskl - INFO - Epoch [32][600/1281] lr: 2.238e-02, eta: 17:14:20, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9912, loss_cls: 0.9768, loss: 0.9768 +2023-12-24 13:41:03,941 - pyskl - INFO - Epoch [32][700/1281] lr: 2.237e-02, eta: 17:13:43, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9944, loss_cls: 0.9564, loss: 0.9564 +2023-12-24 13:41:46,147 - pyskl - INFO - Epoch [32][800/1281] lr: 2.236e-02, eta: 17:13:07, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9938, loss_cls: 0.9710, loss: 0.9710 +2023-12-24 13:42:28,517 - pyskl - INFO - Epoch [32][900/1281] lr: 2.234e-02, eta: 17:12:32, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9931, loss_cls: 0.9896, loss: 0.9896 +2023-12-24 13:43:11,404 - pyskl - INFO - Epoch [32][1000/1281] lr: 2.233e-02, eta: 17:11:58, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9931, loss_cls: 0.9727, loss: 0.9727 +2023-12-24 13:43:53,709 - pyskl - INFO - Epoch [32][1100/1281] lr: 2.232e-02, eta: 17:11:23, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8556, top5_acc: 0.9944, loss_cls: 0.9744, loss: 0.9744 +2023-12-24 13:44:28,943 - pyskl - INFO - Epoch [32][1200/1281] lr: 2.231e-02, eta: 17:10:21, time: 0.352, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9912, loss_cls: 1.0183, loss: 1.0183 +2023-12-24 13:44:52,764 - pyskl - INFO - Saving checkpoint at 32 epochs +2023-12-24 13:45:46,491 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:45:46,546 - pyskl - INFO - +top1_acc 0.8361 +top5_acc 0.9896 +2023-12-24 13:45:46,546 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:45:46,554 - pyskl - INFO - +mean_acc 0.7659 +2023-12-24 13:45:46,556 - pyskl - INFO - Epoch(val) [32][533] top1_acc: 0.8361, top5_acc: 0.9896, mean_class_accuracy: 0.7659 +2023-12-24 13:46:49,013 - pyskl - INFO - Epoch [33][100/1281] lr: 2.228e-02, eta: 17:08:24, time: 0.625, data_time: 0.202, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9919, loss_cls: 0.9563, loss: 0.9563 +2023-12-24 13:47:31,410 - pyskl - INFO - Epoch [33][200/1281] lr: 2.227e-02, eta: 17:07:49, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8519, top5_acc: 0.9938, loss_cls: 1.0103, loss: 1.0103 +2023-12-24 13:48:14,108 - pyskl - INFO - Epoch [33][300/1281] lr: 2.226e-02, eta: 17:07:15, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9950, loss_cls: 0.9402, loss: 0.9402 +2023-12-24 13:48:56,236 - pyskl - INFO - Epoch [33][400/1281] lr: 2.225e-02, eta: 17:06:39, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9919, loss_cls: 0.9851, loss: 0.9851 +2023-12-24 13:49:37,606 - pyskl - INFO - Epoch [33][500/1281] lr: 2.223e-02, eta: 17:06:00, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9956, loss_cls: 0.9768, loss: 0.9768 +2023-12-24 13:50:20,054 - pyskl - INFO - Epoch [33][600/1281] lr: 2.222e-02, eta: 17:05:25, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9950, loss_cls: 0.9341, loss: 0.9341 +2023-12-24 13:51:02,324 - pyskl - INFO - Epoch [33][700/1281] lr: 2.221e-02, eta: 17:04:49, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9919, loss_cls: 0.9926, loss: 0.9926 +2023-12-24 13:51:44,591 - pyskl - INFO - Epoch [33][800/1281] lr: 2.219e-02, eta: 17:04:13, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8619, top5_acc: 0.9894, loss_cls: 0.9929, loss: 0.9929 +2023-12-24 13:52:26,461 - pyskl - INFO - Epoch [33][900/1281] lr: 2.218e-02, eta: 17:03:36, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9938, loss_cls: 0.9390, loss: 0.9390 +2023-12-24 13:53:08,030 - pyskl - INFO - Epoch [33][1000/1281] lr: 2.217e-02, eta: 17:02:57, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9944, loss_cls: 0.9339, loss: 0.9339 +2023-12-24 13:53:49,810 - pyskl - INFO - Epoch [33][1100/1281] lr: 2.216e-02, eta: 17:02:20, time: 0.418, data_time: 0.001, memory: 4120, top1_acc: 0.8481, top5_acc: 0.9906, loss_cls: 0.9779, loss: 0.9779 +2023-12-24 13:54:25,317 - pyskl - INFO - Epoch [33][1200/1281] lr: 2.214e-02, eta: 17:01:20, time: 0.355, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9944, loss_cls: 0.9382, loss: 0.9382 +2023-12-24 13:54:48,314 - pyskl - INFO - Saving checkpoint at 33 epochs +2023-12-24 13:55:41,503 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:55:41,563 - pyskl - INFO - +top1_acc 0.8107 +top5_acc 0.9844 +2023-12-24 13:55:41,563 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:55:41,569 - pyskl - INFO - +mean_acc 0.7520 +2023-12-24 13:55:41,571 - pyskl - INFO - Epoch(val) [33][533] top1_acc: 0.8107, top5_acc: 0.9844, mean_class_accuracy: 0.7520 +2023-12-24 13:56:39,659 - pyskl - INFO - Epoch [34][100/1281] lr: 2.212e-02, eta: 16:59:10, time: 0.581, data_time: 0.164, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9944, loss_cls: 0.9759, loss: 0.9759 +2023-12-24 13:57:21,736 - pyskl - INFO - Epoch [34][200/1281] lr: 2.211e-02, eta: 16:58:33, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9956, loss_cls: 0.9186, loss: 0.9186 +2023-12-24 13:58:04,599 - pyskl - INFO - Epoch [34][300/1281] lr: 2.209e-02, eta: 16:58:00, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9931, loss_cls: 0.9469, loss: 0.9469 +2023-12-24 13:58:47,220 - pyskl - INFO - Epoch [34][400/1281] lr: 2.208e-02, eta: 16:57:25, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9912, loss_cls: 0.9447, loss: 0.9447 +2023-12-24 13:59:29,409 - pyskl - INFO - Epoch [34][500/1281] lr: 2.207e-02, eta: 16:56:49, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9938, loss_cls: 0.9474, loss: 0.9474 +2023-12-24 14:00:11,571 - pyskl - INFO - Epoch [34][600/1281] lr: 2.205e-02, eta: 16:56:13, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9938, loss_cls: 0.9753, loss: 0.9753 +2023-12-24 14:00:54,616 - pyskl - INFO - Epoch [34][700/1281] lr: 2.204e-02, eta: 16:55:39, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9944, loss_cls: 0.9381, loss: 0.9381 +2023-12-24 14:01:37,701 - pyskl - INFO - Epoch [34][800/1281] lr: 2.203e-02, eta: 16:55:06, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8569, top5_acc: 0.9962, loss_cls: 0.9426, loss: 0.9426 +2023-12-24 14:02:20,817 - pyskl - INFO - Epoch [34][900/1281] lr: 2.201e-02, eta: 16:54:33, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9956, loss_cls: 0.9878, loss: 0.9878 +2023-12-24 14:03:03,385 - pyskl - INFO - Epoch [34][1000/1281] lr: 2.200e-02, eta: 16:53:58, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8638, top5_acc: 0.9962, loss_cls: 0.9719, loss: 0.9719 +2023-12-24 14:03:45,522 - pyskl - INFO - Epoch [34][1100/1281] lr: 2.199e-02, eta: 16:53:22, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9912, loss_cls: 0.9517, loss: 0.9517 +2023-12-24 14:04:25,943 - pyskl - INFO - Epoch [34][1200/1281] lr: 2.197e-02, eta: 16:52:39, time: 0.404, data_time: 0.000, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9944, loss_cls: 0.9167, loss: 0.9167 +2023-12-24 14:04:44,780 - pyskl - INFO - Saving checkpoint at 34 epochs +2023-12-24 14:05:41,516 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:05:41,586 - pyskl - INFO - +top1_acc 0.8352 +top5_acc 0.9883 +2023-12-24 14:05:41,608 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:05:41,620 - pyskl - INFO - +mean_acc 0.7590 +2023-12-24 14:05:41,631 - pyskl - INFO - Epoch(val) [34][533] top1_acc: 0.8352, top5_acc: 0.9883, mean_class_accuracy: 0.7590 +2023-12-24 14:06:45,018 - pyskl - INFO - Epoch [35][100/1281] lr: 2.195e-02, eta: 16:50:49, time: 0.634, data_time: 0.211, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9950, loss_cls: 0.9074, loss: 0.9074 +2023-12-24 14:07:27,324 - pyskl - INFO - Epoch [35][200/1281] lr: 2.194e-02, eta: 16:50:13, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9950, loss_cls: 0.9855, loss: 0.9855 +2023-12-24 14:08:10,093 - pyskl - INFO - Epoch [35][300/1281] lr: 2.192e-02, eta: 16:49:39, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9906, loss_cls: 0.9838, loss: 0.9838 +2023-12-24 14:08:52,629 - pyskl - INFO - Epoch [35][400/1281] lr: 2.191e-02, eta: 16:49:04, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8588, top5_acc: 0.9956, loss_cls: 0.9750, loss: 0.9750 +2023-12-24 14:09:34,772 - pyskl - INFO - Epoch [35][500/1281] lr: 2.190e-02, eta: 16:48:27, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8675, top5_acc: 0.9969, loss_cls: 0.9461, loss: 0.9461 +2023-12-24 14:10:17,092 - pyskl - INFO - Epoch [35][600/1281] lr: 2.188e-02, eta: 16:47:51, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8488, top5_acc: 0.9900, loss_cls: 1.0037, loss: 1.0037 +2023-12-24 14:10:58,660 - pyskl - INFO - Epoch [35][700/1281] lr: 2.187e-02, eta: 16:47:13, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9956, loss_cls: 0.9027, loss: 0.9027 +2023-12-24 14:11:40,996 - pyskl - INFO - Epoch [35][800/1281] lr: 2.185e-02, eta: 16:46:37, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9944, loss_cls: 0.9199, loss: 0.9199 +2023-12-24 14:12:23,624 - pyskl - INFO - Epoch [35][900/1281] lr: 2.184e-02, eta: 16:46:02, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9944, loss_cls: 0.9481, loss: 0.9481 +2023-12-24 14:13:06,050 - pyskl - INFO - Epoch [35][1000/1281] lr: 2.183e-02, eta: 16:45:26, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9950, loss_cls: 0.9307, loss: 0.9307 +2023-12-24 14:13:48,189 - pyskl - INFO - Epoch [35][1100/1281] lr: 2.181e-02, eta: 16:44:50, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9950, loss_cls: 0.9159, loss: 0.9159 +2023-12-24 14:14:28,970 - pyskl - INFO - Epoch [35][1200/1281] lr: 2.180e-02, eta: 16:44:08, time: 0.408, data_time: 0.000, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9938, loss_cls: 0.9513, loss: 0.9513 +2023-12-24 14:14:47,604 - pyskl - INFO - Saving checkpoint at 35 epochs +2023-12-24 14:15:41,583 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:15:41,657 - pyskl - INFO - +top1_acc 0.8303 +top5_acc 0.9886 +2023-12-24 14:15:41,658 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:15:41,673 - pyskl - INFO - +mean_acc 0.7596 +2023-12-24 14:15:41,679 - pyskl - INFO - Epoch(val) [35][533] top1_acc: 0.8303, top5_acc: 0.9886, mean_class_accuracy: 0.7596 +2023-12-24 14:16:45,904 - pyskl - INFO - Epoch [36][100/1281] lr: 2.178e-02, eta: 16:42:22, time: 0.642, data_time: 0.218, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9962, loss_cls: 0.9298, loss: 0.9298 +2023-12-24 14:17:28,327 - pyskl - INFO - Epoch [36][200/1281] lr: 2.176e-02, eta: 16:41:47, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9912, loss_cls: 0.9577, loss: 0.9577 +2023-12-24 14:18:10,094 - pyskl - INFO - Epoch [36][300/1281] lr: 2.175e-02, eta: 16:41:09, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9944, loss_cls: 0.9153, loss: 0.9153 +2023-12-24 14:18:52,494 - pyskl - INFO - Epoch [36][400/1281] lr: 2.173e-02, eta: 16:40:33, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9931, loss_cls: 0.9580, loss: 0.9580 +2023-12-24 14:19:34,729 - pyskl - INFO - Epoch [36][500/1281] lr: 2.172e-02, eta: 16:39:56, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9906, loss_cls: 0.9412, loss: 0.9412 +2023-12-24 14:20:16,825 - pyskl - INFO - Epoch [36][600/1281] lr: 2.171e-02, eta: 16:39:20, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8544, top5_acc: 0.9956, loss_cls: 0.9931, loss: 0.9931 +2023-12-24 14:20:58,686 - pyskl - INFO - Epoch [36][700/1281] lr: 2.169e-02, eta: 16:38:42, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8581, top5_acc: 0.9969, loss_cls: 0.9664, loss: 0.9664 +2023-12-24 14:21:40,097 - pyskl - INFO - Epoch [36][800/1281] lr: 2.168e-02, eta: 16:38:03, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9950, loss_cls: 0.9488, loss: 0.9488 +2023-12-24 14:22:22,310 - pyskl - INFO - Epoch [36][900/1281] lr: 2.167e-02, eta: 16:37:26, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9950, loss_cls: 0.9589, loss: 0.9589 +2023-12-24 14:23:04,422 - pyskl - INFO - Epoch [36][1000/1281] lr: 2.165e-02, eta: 16:36:49, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9931, loss_cls: 0.9367, loss: 0.9367 +2023-12-24 14:23:46,416 - pyskl - INFO - Epoch [36][1100/1281] lr: 2.164e-02, eta: 16:36:12, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9969, loss_cls: 0.9288, loss: 0.9288 +2023-12-24 14:24:24,201 - pyskl - INFO - Epoch [36][1200/1281] lr: 2.162e-02, eta: 16:35:21, time: 0.378, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9912, loss_cls: 0.9570, loss: 0.9570 +2023-12-24 14:24:43,232 - pyskl - INFO - Saving checkpoint at 36 epochs +2023-12-24 14:25:36,120 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:25:36,189 - pyskl - INFO - +top1_acc 0.8470 +top5_acc 0.9898 +2023-12-24 14:25:36,189 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:25:36,199 - pyskl - INFO - +mean_acc 0.7852 +2023-12-24 14:25:36,205 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_29.pth was removed +2023-12-24 14:25:36,438 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. +2023-12-24 14:25:36,438 - pyskl - INFO - Best top1_acc is 0.8470 at 36 epoch. +2023-12-24 14:25:36,441 - pyskl - INFO - Epoch(val) [36][533] top1_acc: 0.8470, top5_acc: 0.9898, mean_class_accuracy: 0.7852 +2023-12-24 14:26:41,365 - pyskl - INFO - Epoch [37][100/1281] lr: 2.160e-02, eta: 16:33:39, time: 0.649, data_time: 0.223, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9931, loss_cls: 0.9433, loss: 0.9433 +2023-12-24 14:27:24,082 - pyskl - INFO - Epoch [37][200/1281] lr: 2.158e-02, eta: 16:33:04, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9950, loss_cls: 0.9289, loss: 0.9289 +2023-12-24 14:28:06,476 - pyskl - INFO - Epoch [37][300/1281] lr: 2.157e-02, eta: 16:32:28, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9944, loss_cls: 0.8808, loss: 0.8808 +2023-12-24 14:28:48,240 - pyskl - INFO - Epoch [37][400/1281] lr: 2.156e-02, eta: 16:31:50, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9938, loss_cls: 0.9312, loss: 0.9312 +2023-12-24 14:29:30,595 - pyskl - INFO - Epoch [37][500/1281] lr: 2.154e-02, eta: 16:31:13, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8600, top5_acc: 0.9944, loss_cls: 0.9674, loss: 0.9674 +2023-12-24 14:30:12,837 - pyskl - INFO - Epoch [37][600/1281] lr: 2.153e-02, eta: 16:30:37, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9956, loss_cls: 0.9356, loss: 0.9356 +2023-12-24 14:30:54,940 - pyskl - INFO - Epoch [37][700/1281] lr: 2.151e-02, eta: 16:30:00, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8625, top5_acc: 0.9956, loss_cls: 0.9593, loss: 0.9593 +2023-12-24 14:31:37,491 - pyskl - INFO - Epoch [37][800/1281] lr: 2.150e-02, eta: 16:29:24, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8594, top5_acc: 0.9950, loss_cls: 0.9844, loss: 0.9844 +2023-12-24 14:32:19,297 - pyskl - INFO - Epoch [37][900/1281] lr: 2.149e-02, eta: 16:28:46, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9950, loss_cls: 0.9493, loss: 0.9493 +2023-12-24 14:33:02,335 - pyskl - INFO - Epoch [37][1000/1281] lr: 2.147e-02, eta: 16:28:12, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9938, loss_cls: 0.9453, loss: 0.9453 +2023-12-24 14:33:45,295 - pyskl - INFO - Epoch [37][1100/1281] lr: 2.146e-02, eta: 16:27:37, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9938, loss_cls: 0.9079, loss: 0.9079 +2023-12-24 14:34:21,646 - pyskl - INFO - Epoch [37][1200/1281] lr: 2.144e-02, eta: 16:26:43, time: 0.364, data_time: 0.001, memory: 4120, top1_acc: 0.8612, top5_acc: 0.9931, loss_cls: 0.9795, loss: 0.9795 +2023-12-24 14:34:43,800 - pyskl - INFO - Saving checkpoint at 37 epochs +2023-12-24 14:35:35,046 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:35:35,104 - pyskl - INFO - +top1_acc 0.8395 +top5_acc 0.9896 +2023-12-24 14:35:35,104 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:35:35,112 - pyskl - INFO - +mean_acc 0.7786 +2023-12-24 14:35:35,115 - pyskl - INFO - Epoch(val) [37][533] top1_acc: 0.8395, top5_acc: 0.9896, mean_class_accuracy: 0.7786 +2023-12-24 14:36:35,058 - pyskl - INFO - Epoch [38][100/1281] lr: 2.142e-02, eta: 16:24:46, time: 0.599, data_time: 0.177, memory: 4120, top1_acc: 0.8662, top5_acc: 0.9912, loss_cls: 0.9493, loss: 0.9493 +2023-12-24 14:37:17,600 - pyskl - INFO - Epoch [38][200/1281] lr: 2.140e-02, eta: 16:24:10, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9950, loss_cls: 0.8884, loss: 0.8884 +2023-12-24 14:37:59,731 - pyskl - INFO - Epoch [38][300/1281] lr: 2.139e-02, eta: 16:23:33, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9938, loss_cls: 0.9149, loss: 0.9149 +2023-12-24 14:38:42,394 - pyskl - INFO - Epoch [38][400/1281] lr: 2.137e-02, eta: 16:22:58, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9912, loss_cls: 0.9824, loss: 0.9824 +2023-12-24 14:39:23,801 - pyskl - INFO - Epoch [38][500/1281] lr: 2.136e-02, eta: 16:22:18, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9944, loss_cls: 0.9412, loss: 0.9412 +2023-12-24 14:40:06,118 - pyskl - INFO - Epoch [38][600/1281] lr: 2.134e-02, eta: 16:21:42, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9962, loss_cls: 0.9521, loss: 0.9521 +2023-12-24 14:40:48,379 - pyskl - INFO - Epoch [38][700/1281] lr: 2.133e-02, eta: 16:21:05, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8719, top5_acc: 0.9981, loss_cls: 0.9310, loss: 0.9310 +2023-12-24 14:41:30,568 - pyskl - INFO - Epoch [38][800/1281] lr: 2.132e-02, eta: 16:20:28, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9944, loss_cls: 0.9262, loss: 0.9262 +2023-12-24 14:42:12,947 - pyskl - INFO - Epoch [38][900/1281] lr: 2.130e-02, eta: 16:19:52, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8669, top5_acc: 0.9962, loss_cls: 0.9543, loss: 0.9543 +2023-12-24 14:42:54,652 - pyskl - INFO - Epoch [38][1000/1281] lr: 2.129e-02, eta: 16:19:14, time: 0.417, data_time: 0.001, memory: 4120, top1_acc: 0.8681, top5_acc: 0.9938, loss_cls: 0.9520, loss: 0.9520 +2023-12-24 14:43:36,738 - pyskl - INFO - Epoch [38][1100/1281] lr: 2.127e-02, eta: 16:18:36, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 0.8911, loss: 0.8911 +2023-12-24 14:44:18,243 - pyskl - INFO - Epoch [38][1200/1281] lr: 2.126e-02, eta: 16:17:57, time: 0.415, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9950, loss_cls: 0.9362, loss: 0.9362 +2023-12-24 14:44:37,309 - pyskl - INFO - Saving checkpoint at 38 epochs +2023-12-24 14:45:35,338 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:45:35,416 - pyskl - INFO - +top1_acc 0.8382 +top5_acc 0.9885 +2023-12-24 14:45:35,416 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:45:35,430 - pyskl - INFO - +mean_acc 0.7687 +2023-12-24 14:45:35,438 - pyskl - INFO - Epoch(val) [38][533] top1_acc: 0.8382, top5_acc: 0.9885, mean_class_accuracy: 0.7687 +2023-12-24 14:46:40,544 - pyskl - INFO - Epoch [39][100/1281] lr: 2.123e-02, eta: 16:16:17, time: 0.651, data_time: 0.232, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9938, loss_cls: 0.8496, loss: 0.8496 +2023-12-24 14:47:22,473 - pyskl - INFO - Epoch [39][200/1281] lr: 2.122e-02, eta: 16:15:40, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9962, loss_cls: 0.9053, loss: 0.9053 +2023-12-24 14:48:05,629 - pyskl - INFO - Epoch [39][300/1281] lr: 2.120e-02, eta: 16:15:05, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9950, loss_cls: 0.8794, loss: 0.8794 +2023-12-24 14:48:48,367 - pyskl - INFO - Epoch [39][400/1281] lr: 2.119e-02, eta: 16:14:30, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9956, loss_cls: 0.9128, loss: 0.9128 +2023-12-24 14:49:30,786 - pyskl - INFO - Epoch [39][500/1281] lr: 2.117e-02, eta: 16:13:54, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9931, loss_cls: 0.9370, loss: 0.9370 +2023-12-24 14:50:13,422 - pyskl - INFO - Epoch [39][600/1281] lr: 2.116e-02, eta: 16:13:18, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9931, loss_cls: 0.9567, loss: 0.9567 +2023-12-24 14:50:56,241 - pyskl - INFO - Epoch [39][700/1281] lr: 2.114e-02, eta: 16:12:43, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9938, loss_cls: 0.9353, loss: 0.9353 +2023-12-24 14:51:38,228 - pyskl - INFO - Epoch [39][800/1281] lr: 2.113e-02, eta: 16:12:05, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9938, loss_cls: 0.9358, loss: 0.9358 +2023-12-24 14:52:20,660 - pyskl - INFO - Epoch [39][900/1281] lr: 2.111e-02, eta: 16:11:28, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9962, loss_cls: 0.9403, loss: 0.9403 +2023-12-24 14:53:03,307 - pyskl - INFO - Epoch [39][1000/1281] lr: 2.110e-02, eta: 16:10:53, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9956, loss_cls: 0.8945, loss: 0.8945 +2023-12-24 14:53:45,481 - pyskl - INFO - Epoch [39][1100/1281] lr: 2.108e-02, eta: 16:10:15, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9931, loss_cls: 0.9398, loss: 0.9398 +2023-12-24 14:54:23,214 - pyskl - INFO - Epoch [39][1200/1281] lr: 2.107e-02, eta: 16:09:26, time: 0.377, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9938, loss_cls: 0.9254, loss: 0.9254 +2023-12-24 14:54:44,125 - pyskl - INFO - Saving checkpoint at 39 epochs +2023-12-24 14:55:38,217 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:55:38,275 - pyskl - INFO - +top1_acc 0.8553 +top5_acc 0.9914 +2023-12-24 14:55:38,275 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:55:38,283 - pyskl - INFO - +mean_acc 0.7985 +2023-12-24 14:55:38,287 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_36.pth was removed +2023-12-24 14:55:38,471 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_39.pth. +2023-12-24 14:55:38,471 - pyskl - INFO - Best top1_acc is 0.8553 at 39 epoch. +2023-12-24 14:55:38,474 - pyskl - INFO - Epoch(val) [39][533] top1_acc: 0.8553, top5_acc: 0.9914, mean_class_accuracy: 0.7985 +2023-12-24 14:56:41,217 - pyskl - INFO - Epoch [40][100/1281] lr: 2.104e-02, eta: 16:07:40, time: 0.627, data_time: 0.207, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9975, loss_cls: 0.8312, loss: 0.8312 +2023-12-24 14:57:23,750 - pyskl - INFO - Epoch [40][200/1281] lr: 2.103e-02, eta: 16:07:03, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9950, loss_cls: 0.9365, loss: 0.9365 +2023-12-24 14:58:06,425 - pyskl - INFO - Epoch [40][300/1281] lr: 2.101e-02, eta: 16:06:28, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9962, loss_cls: 0.9135, loss: 0.9135 +2023-12-24 14:58:49,315 - pyskl - INFO - Epoch [40][400/1281] lr: 2.100e-02, eta: 16:05:52, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9962, loss_cls: 0.9341, loss: 0.9341 +2023-12-24 14:59:31,448 - pyskl - INFO - Epoch [40][500/1281] lr: 2.098e-02, eta: 16:05:15, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9950, loss_cls: 0.9360, loss: 0.9360 +2023-12-24 15:00:13,528 - pyskl - INFO - Epoch [40][600/1281] lr: 2.097e-02, eta: 16:04:38, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9950, loss_cls: 0.9404, loss: 0.9404 +2023-12-24 15:00:55,686 - pyskl - INFO - Epoch [40][700/1281] lr: 2.095e-02, eta: 16:04:00, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9956, loss_cls: 0.9196, loss: 0.9196 +2023-12-24 15:01:38,492 - pyskl - INFO - Epoch [40][800/1281] lr: 2.094e-02, eta: 16:03:25, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9919, loss_cls: 0.9686, loss: 0.9686 +2023-12-24 15:02:20,888 - pyskl - INFO - Epoch [40][900/1281] lr: 2.092e-02, eta: 16:02:48, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9969, loss_cls: 0.9536, loss: 0.9536 +2023-12-24 15:03:03,781 - pyskl - INFO - Epoch [40][1000/1281] lr: 2.091e-02, eta: 16:02:13, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8631, top5_acc: 0.9919, loss_cls: 0.9741, loss: 0.9741 +2023-12-24 15:03:45,661 - pyskl - INFO - Epoch [40][1100/1281] lr: 2.089e-02, eta: 16:01:35, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8694, top5_acc: 0.9919, loss_cls: 0.9398, loss: 0.9398 +2023-12-24 15:04:26,121 - pyskl - INFO - Epoch [40][1200/1281] lr: 2.088e-02, eta: 16:00:53, time: 0.405, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9925, loss_cls: 0.9383, loss: 0.9383 +2023-12-24 15:04:45,765 - pyskl - INFO - Saving checkpoint at 40 epochs +2023-12-24 15:05:44,356 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:05:44,421 - pyskl - INFO - +top1_acc 0.8525 +top5_acc 0.9899 +2023-12-24 15:05:44,421 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:05:44,429 - pyskl - INFO - +mean_acc 0.7746 +2023-12-24 15:05:44,431 - pyskl - INFO - Epoch(val) [40][533] top1_acc: 0.8525, top5_acc: 0.9899, mean_class_accuracy: 0.7746 +2023-12-24 15:06:48,762 - pyskl - INFO - Epoch [41][100/1281] lr: 2.085e-02, eta: 15:59:12, time: 0.643, data_time: 0.212, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9938, loss_cls: 0.8997, loss: 0.8997 +2023-12-24 15:07:31,558 - pyskl - INFO - Epoch [41][200/1281] lr: 2.083e-02, eta: 15:58:36, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9975, loss_cls: 0.8874, loss: 0.8874 +2023-12-24 15:08:13,651 - pyskl - INFO - Epoch [41][300/1281] lr: 2.082e-02, eta: 15:57:59, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9962, loss_cls: 0.8921, loss: 0.8921 +2023-12-24 15:08:56,208 - pyskl - INFO - Epoch [41][400/1281] lr: 2.080e-02, eta: 15:57:23, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9944, loss_cls: 0.9203, loss: 0.9203 +2023-12-24 15:09:38,447 - pyskl - INFO - Epoch [41][500/1281] lr: 2.079e-02, eta: 15:56:45, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9962, loss_cls: 0.9030, loss: 0.9030 +2023-12-24 15:10:21,073 - pyskl - INFO - Epoch [41][600/1281] lr: 2.077e-02, eta: 15:56:09, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9950, loss_cls: 0.9110, loss: 0.9110 +2023-12-24 15:11:03,322 - pyskl - INFO - Epoch [41][700/1281] lr: 2.076e-02, eta: 15:55:32, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9975, loss_cls: 0.9413, loss: 0.9413 +2023-12-24 15:11:45,281 - pyskl - INFO - Epoch [41][800/1281] lr: 2.074e-02, eta: 15:54:54, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9950, loss_cls: 0.9438, loss: 0.9438 +2023-12-24 15:12:27,504 - pyskl - INFO - Epoch [41][900/1281] lr: 2.073e-02, eta: 15:54:17, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8644, top5_acc: 0.9944, loss_cls: 0.9652, loss: 0.9652 +2023-12-24 15:13:09,750 - pyskl - INFO - Epoch [41][1000/1281] lr: 2.071e-02, eta: 15:53:39, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9938, loss_cls: 0.8850, loss: 0.8850 +2023-12-24 15:13:52,035 - pyskl - INFO - Epoch [41][1100/1281] lr: 2.070e-02, eta: 15:53:02, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9962, loss_cls: 0.9255, loss: 0.9255 +2023-12-24 15:14:30,933 - pyskl - INFO - Epoch [41][1200/1281] lr: 2.068e-02, eta: 15:52:16, time: 0.389, data_time: 0.001, memory: 4120, top1_acc: 0.8606, top5_acc: 0.9931, loss_cls: 0.9733, loss: 0.9733 +2023-12-24 15:14:53,366 - pyskl - INFO - Saving checkpoint at 41 epochs +2023-12-24 15:15:46,500 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:15:46,558 - pyskl - INFO - +top1_acc 0.8392 +top5_acc 0.9897 +2023-12-24 15:15:46,558 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:15:46,564 - pyskl - INFO - +mean_acc 0.7771 +2023-12-24 15:15:46,566 - pyskl - INFO - Epoch(val) [41][533] top1_acc: 0.8392, top5_acc: 0.9897, mean_class_accuracy: 0.7771 +2023-12-24 15:16:47,889 - pyskl - INFO - Epoch [42][100/1281] lr: 2.065e-02, eta: 15:50:28, time: 0.613, data_time: 0.187, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9975, loss_cls: 0.9154, loss: 0.9154 +2023-12-24 15:17:30,038 - pyskl - INFO - Epoch [42][200/1281] lr: 2.064e-02, eta: 15:49:51, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9981, loss_cls: 0.8664, loss: 0.8664 +2023-12-24 15:18:12,609 - pyskl - INFO - Epoch [42][300/1281] lr: 2.062e-02, eta: 15:49:14, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9950, loss_cls: 0.9384, loss: 0.9384 +2023-12-24 15:18:55,376 - pyskl - INFO - Epoch [42][400/1281] lr: 2.061e-02, eta: 15:48:38, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9969, loss_cls: 0.8893, loss: 0.8893 +2023-12-24 15:19:37,571 - pyskl - INFO - Epoch [42][500/1281] lr: 2.059e-02, eta: 15:48:01, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9931, loss_cls: 0.9309, loss: 0.9309 +2023-12-24 15:20:19,434 - pyskl - INFO - Epoch [42][600/1281] lr: 2.057e-02, eta: 15:47:23, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9962, loss_cls: 0.8567, loss: 0.8567 +2023-12-24 15:21:02,568 - pyskl - INFO - Epoch [42][700/1281] lr: 2.056e-02, eta: 15:46:48, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9988, loss_cls: 0.8623, loss: 0.8623 +2023-12-24 15:21:46,022 - pyskl - INFO - Epoch [42][800/1281] lr: 2.054e-02, eta: 15:46:13, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8506, top5_acc: 0.9981, loss_cls: 0.9679, loss: 0.9679 +2023-12-24 15:22:28,264 - pyskl - INFO - Epoch [42][900/1281] lr: 2.053e-02, eta: 15:45:36, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9962, loss_cls: 0.8981, loss: 0.8981 +2023-12-24 15:23:11,225 - pyskl - INFO - Epoch [42][1000/1281] lr: 2.051e-02, eta: 15:45:00, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8825, top5_acc: 0.9931, loss_cls: 0.9234, loss: 0.9234 +2023-12-24 15:23:53,441 - pyskl - INFO - Epoch [42][1100/1281] lr: 2.050e-02, eta: 15:44:23, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8725, top5_acc: 0.9944, loss_cls: 0.9328, loss: 0.9328 +2023-12-24 15:24:33,812 - pyskl - INFO - Epoch [42][1200/1281] lr: 2.048e-02, eta: 15:43:41, time: 0.404, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 0.9100, loss: 0.9100 +2023-12-24 15:24:53,120 - pyskl - INFO - Saving checkpoint at 42 epochs +2023-12-24 15:25:53,341 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:25:53,412 - pyskl - INFO - +top1_acc 0.8545 +top5_acc 0.9903 +2023-12-24 15:25:53,412 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:25:53,426 - pyskl - INFO - +mean_acc 0.7972 +2023-12-24 15:25:53,430 - pyskl - INFO - Epoch(val) [42][533] top1_acc: 0.8545, top5_acc: 0.9903, mean_class_accuracy: 0.7972 +2023-12-24 15:26:59,225 - pyskl - INFO - Epoch [43][100/1281] lr: 2.045e-02, eta: 15:42:05, time: 0.658, data_time: 0.227, memory: 4120, top1_acc: 0.8700, top5_acc: 0.9950, loss_cls: 0.9593, loss: 0.9593 +2023-12-24 15:27:42,263 - pyskl - INFO - Epoch [43][200/1281] lr: 2.044e-02, eta: 15:41:30, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9931, loss_cls: 0.8904, loss: 0.8904 +2023-12-24 15:28:23,879 - pyskl - INFO - Epoch [43][300/1281] lr: 2.042e-02, eta: 15:40:51, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9944, loss_cls: 0.9507, loss: 0.9507 +2023-12-24 15:29:06,940 - pyskl - INFO - Epoch [43][400/1281] lr: 2.040e-02, eta: 15:40:16, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9956, loss_cls: 0.8635, loss: 0.8635 +2023-12-24 15:29:49,387 - pyskl - INFO - Epoch [43][500/1281] lr: 2.039e-02, eta: 15:39:39, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9956, loss_cls: 0.9074, loss: 0.9074 +2023-12-24 15:30:32,444 - pyskl - INFO - Epoch [43][600/1281] lr: 2.037e-02, eta: 15:39:03, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9962, loss_cls: 0.9311, loss: 0.9311 +2023-12-24 15:31:15,236 - pyskl - INFO - Epoch [43][700/1281] lr: 2.036e-02, eta: 15:38:27, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9962, loss_cls: 0.9149, loss: 0.9149 +2023-12-24 15:31:57,660 - pyskl - INFO - Epoch [43][800/1281] lr: 2.034e-02, eta: 15:37:50, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9925, loss_cls: 0.9182, loss: 0.9182 +2023-12-24 15:32:39,807 - pyskl - INFO - Epoch [43][900/1281] lr: 2.033e-02, eta: 15:37:12, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9975, loss_cls: 0.8697, loss: 0.8697 +2023-12-24 15:33:22,012 - pyskl - INFO - Epoch [43][1000/1281] lr: 2.031e-02, eta: 15:36:34, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8762, top5_acc: 0.9969, loss_cls: 0.9110, loss: 0.9110 +2023-12-24 15:34:04,087 - pyskl - INFO - Epoch [43][1100/1281] lr: 2.029e-02, eta: 15:35:56, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.8656, top5_acc: 0.9906, loss_cls: 0.9572, loss: 0.9572 +2023-12-24 15:34:45,302 - pyskl - INFO - Epoch [43][1200/1281] lr: 2.028e-02, eta: 15:35:16, time: 0.412, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9956, loss_cls: 0.9228, loss: 0.9228 +2023-12-24 15:35:04,875 - pyskl - INFO - Saving checkpoint at 43 epochs +2023-12-24 15:35:59,980 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:36:00,037 - pyskl - INFO - +top1_acc 0.8402 +top5_acc 0.9896 +2023-12-24 15:36:00,037 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:36:00,045 - pyskl - INFO - +mean_acc 0.7762 +2023-12-24 15:36:00,048 - pyskl - INFO - Epoch(val) [43][533] top1_acc: 0.8402, top5_acc: 0.9896, mean_class_accuracy: 0.7762 +2023-12-24 15:37:01,046 - pyskl - INFO - Epoch [44][100/1281] lr: 2.025e-02, eta: 15:33:30, time: 0.610, data_time: 0.188, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9988, loss_cls: 0.8812, loss: 0.8812 +2023-12-24 15:37:43,218 - pyskl - INFO - Epoch [44][200/1281] lr: 2.023e-02, eta: 15:32:52, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9956, loss_cls: 0.8822, loss: 0.8822 +2023-12-24 15:38:26,185 - pyskl - INFO - Epoch [44][300/1281] lr: 2.022e-02, eta: 15:32:16, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9956, loss_cls: 0.9185, loss: 0.9185 +2023-12-24 15:39:08,486 - pyskl - INFO - Epoch [44][400/1281] lr: 2.020e-02, eta: 15:31:39, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9988, loss_cls: 0.8649, loss: 0.8649 +2023-12-24 15:39:51,485 - pyskl - INFO - Epoch [44][500/1281] lr: 2.018e-02, eta: 15:31:03, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9931, loss_cls: 0.8743, loss: 0.8743 +2023-12-24 15:40:33,674 - pyskl - INFO - Epoch [44][600/1281] lr: 2.017e-02, eta: 15:30:25, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9931, loss_cls: 0.9459, loss: 0.9459 +2023-12-24 15:41:15,720 - pyskl - INFO - Epoch [44][700/1281] lr: 2.015e-02, eta: 15:29:47, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9969, loss_cls: 0.8916, loss: 0.8916 +2023-12-24 15:41:58,866 - pyskl - INFO - Epoch [44][800/1281] lr: 2.014e-02, eta: 15:29:12, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9925, loss_cls: 0.9174, loss: 0.9174 +2023-12-24 15:42:41,415 - pyskl - INFO - Epoch [44][900/1281] lr: 2.012e-02, eta: 15:28:35, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9962, loss_cls: 0.9601, loss: 0.9601 +2023-12-24 15:43:24,454 - pyskl - INFO - Epoch [44][1000/1281] lr: 2.010e-02, eta: 15:27:59, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9944, loss_cls: 0.9514, loss: 0.9514 +2023-12-24 15:44:07,356 - pyskl - INFO - Epoch [44][1100/1281] lr: 2.009e-02, eta: 15:27:23, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8812, top5_acc: 0.9944, loss_cls: 0.9452, loss: 0.9452 +2023-12-24 15:44:45,825 - pyskl - INFO - Epoch [44][1200/1281] lr: 2.007e-02, eta: 15:26:36, time: 0.385, data_time: 0.000, memory: 4120, top1_acc: 0.8731, top5_acc: 0.9944, loss_cls: 0.9348, loss: 0.9348 +2023-12-24 15:45:04,295 - pyskl - INFO - Saving checkpoint at 44 epochs +2023-12-24 15:46:01,867 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:46:01,927 - pyskl - INFO - +top1_acc 0.8457 +top5_acc 0.9904 +2023-12-24 15:46:01,928 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:46:01,937 - pyskl - INFO - +mean_acc 0.7589 +2023-12-24 15:46:01,944 - pyskl - INFO - Epoch(val) [44][533] top1_acc: 0.8457, top5_acc: 0.9904, mean_class_accuracy: 0.7589 +2023-12-24 15:47:07,638 - pyskl - INFO - Epoch [45][100/1281] lr: 2.004e-02, eta: 15:25:02, time: 0.657, data_time: 0.235, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9975, loss_cls: 0.8679, loss: 0.8679 +2023-12-24 15:47:49,940 - pyskl - INFO - Epoch [45][200/1281] lr: 2.003e-02, eta: 15:24:24, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9938, loss_cls: 0.8978, loss: 0.8978 +2023-12-24 15:48:32,635 - pyskl - INFO - Epoch [45][300/1281] lr: 2.001e-02, eta: 15:23:48, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9944, loss_cls: 0.8984, loss: 0.8984 +2023-12-24 15:49:14,674 - pyskl - INFO - Epoch [45][400/1281] lr: 1.999e-02, eta: 15:23:09, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8756, top5_acc: 0.9969, loss_cls: 0.9341, loss: 0.9341 +2023-12-24 15:49:57,774 - pyskl - INFO - Epoch [45][500/1281] lr: 1.998e-02, eta: 15:22:34, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9994, loss_cls: 0.8332, loss: 0.8332 +2023-12-24 15:50:41,389 - pyskl - INFO - Epoch [45][600/1281] lr: 1.996e-02, eta: 15:21:59, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9938, loss_cls: 0.9059, loss: 0.9059 +2023-12-24 15:51:24,659 - pyskl - INFO - Epoch [45][700/1281] lr: 1.994e-02, eta: 15:21:24, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9931, loss_cls: 0.9221, loss: 0.9221 +2023-12-24 15:52:07,611 - pyskl - INFO - Epoch [45][800/1281] lr: 1.993e-02, eta: 15:20:48, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9969, loss_cls: 0.8943, loss: 0.8943 +2023-12-24 15:52:50,515 - pyskl - INFO - Epoch [45][900/1281] lr: 1.991e-02, eta: 15:20:11, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9944, loss_cls: 0.9429, loss: 0.9429 +2023-12-24 15:53:33,184 - pyskl - INFO - Epoch [45][1000/1281] lr: 1.989e-02, eta: 15:19:35, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9944, loss_cls: 0.9173, loss: 0.9173 +2023-12-24 15:54:16,212 - pyskl - INFO - Epoch [45][1100/1281] lr: 1.988e-02, eta: 15:18:58, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8706, top5_acc: 0.9962, loss_cls: 0.9437, loss: 0.9437 +2023-12-24 15:54:53,999 - pyskl - INFO - Epoch [45][1200/1281] lr: 1.986e-02, eta: 15:18:10, time: 0.378, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9956, loss_cls: 0.8943, loss: 0.8943 +2023-12-24 15:55:15,939 - pyskl - INFO - Saving checkpoint at 45 epochs +2023-12-24 15:56:12,292 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:56:12,350 - pyskl - INFO - +top1_acc 0.8454 +top5_acc 0.9905 +2023-12-24 15:56:12,351 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:56:12,369 - pyskl - INFO - +mean_acc 0.7754 +2023-12-24 15:56:12,377 - pyskl - INFO - Epoch(val) [45][533] top1_acc: 0.8454, top5_acc: 0.9905, mean_class_accuracy: 0.7754 +2023-12-24 15:57:14,120 - pyskl - INFO - Epoch [46][100/1281] lr: 1.983e-02, eta: 15:16:27, time: 0.617, data_time: 0.191, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9969, loss_cls: 0.8584, loss: 0.8584 +2023-12-24 15:57:57,091 - pyskl - INFO - Epoch [46][200/1281] lr: 1.981e-02, eta: 15:15:51, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9962, loss_cls: 0.8757, loss: 0.8757 +2023-12-24 15:58:40,062 - pyskl - INFO - Epoch [46][300/1281] lr: 1.980e-02, eta: 15:15:15, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9962, loss_cls: 0.9081, loss: 0.9081 +2023-12-24 15:59:22,434 - pyskl - INFO - Epoch [46][400/1281] lr: 1.978e-02, eta: 15:14:37, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9931, loss_cls: 0.8950, loss: 0.8950 +2023-12-24 16:00:04,593 - pyskl - INFO - Epoch [46][500/1281] lr: 1.976e-02, eta: 15:13:59, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9969, loss_cls: 0.8851, loss: 0.8851 +2023-12-24 16:00:46,428 - pyskl - INFO - Epoch [46][600/1281] lr: 1.975e-02, eta: 15:13:21, time: 0.418, data_time: 0.001, memory: 4120, top1_acc: 0.8712, top5_acc: 0.9975, loss_cls: 0.9168, loss: 0.9168 +2023-12-24 16:01:28,350 - pyskl - INFO - Epoch [46][700/1281] lr: 1.973e-02, eta: 15:12:42, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9938, loss_cls: 0.9282, loss: 0.9282 +2023-12-24 16:02:10,738 - pyskl - INFO - Epoch [46][800/1281] lr: 1.971e-02, eta: 15:12:04, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9956, loss_cls: 0.9155, loss: 0.9155 +2023-12-24 16:02:52,920 - pyskl - INFO - Epoch [46][900/1281] lr: 1.970e-02, eta: 15:11:26, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9938, loss_cls: 0.8923, loss: 0.8923 +2023-12-24 16:03:35,182 - pyskl - INFO - Epoch [46][1000/1281] lr: 1.968e-02, eta: 15:10:48, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9981, loss_cls: 0.9084, loss: 0.9084 +2023-12-24 16:04:17,860 - pyskl - INFO - Epoch [46][1100/1281] lr: 1.966e-02, eta: 15:10:11, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9962, loss_cls: 0.9129, loss: 0.9129 +2023-12-24 16:04:55,693 - pyskl - INFO - Epoch [46][1200/1281] lr: 1.965e-02, eta: 15:09:23, time: 0.378, data_time: 0.001, memory: 4120, top1_acc: 0.8956, top5_acc: 0.9956, loss_cls: 0.8835, loss: 0.8835 +2023-12-24 16:05:16,669 - pyskl - INFO - Saving checkpoint at 46 epochs +2023-12-24 16:06:12,367 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 16:06:12,430 - pyskl - INFO - +top1_acc 0.8341 +top5_acc 0.9878 +2023-12-24 16:06:12,430 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 16:06:12,438 - pyskl - INFO - +mean_acc 0.7810 +2023-12-24 16:06:12,441 - pyskl - INFO - Epoch(val) [46][533] top1_acc: 0.8341, top5_acc: 0.9878, mean_class_accuracy: 0.7810 +2023-12-24 16:07:18,981 - pyskl - INFO - Epoch [47][100/1281] lr: 1.962e-02, eta: 15:07:52, time: 0.665, data_time: 0.229, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9962, loss_cls: 0.8760, loss: 0.8760 +2023-12-24 16:08:03,025 - pyskl - INFO - Epoch [47][200/1281] lr: 1.960e-02, eta: 15:07:18, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9962, loss_cls: 0.8517, loss: 0.8517 +2023-12-24 16:08:46,374 - pyskl - INFO - Epoch [47][300/1281] lr: 1.958e-02, eta: 15:06:43, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9956, loss_cls: 0.8846, loss: 0.8846 +2023-12-24 16:09:29,478 - pyskl - INFO - Epoch [47][400/1281] lr: 1.957e-02, eta: 15:06:07, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.8744, top5_acc: 0.9975, loss_cls: 0.9295, loss: 0.9295 +2023-12-24 16:10:11,398 - pyskl - INFO - Epoch [47][500/1281] lr: 1.955e-02, eta: 15:05:28, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8919, top5_acc: 0.9969, loss_cls: 0.8921, loss: 0.8921 +2023-12-24 16:10:55,361 - pyskl - INFO - Epoch [47][600/1281] lr: 1.953e-02, eta: 15:04:54, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8750, top5_acc: 0.9956, loss_cls: 0.9169, loss: 0.9169 +2023-12-24 16:11:39,799 - pyskl - INFO - Epoch [47][700/1281] lr: 1.952e-02, eta: 15:04:21, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9944, loss_cls: 0.8804, loss: 0.8804 +2023-12-24 16:12:23,598 - pyskl - INFO - Epoch [47][800/1281] lr: 1.950e-02, eta: 15:03:46, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9938, loss_cls: 0.9274, loss: 0.9274 +2023-12-24 16:13:08,024 - pyskl - INFO - Epoch [47][900/1281] lr: 1.948e-02, eta: 15:03:13, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9956, loss_cls: 0.8507, loss: 0.8507 +2023-12-24 16:13:52,367 - pyskl - INFO - Epoch [47][1000/1281] lr: 1.947e-02, eta: 15:02:39, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9919, loss_cls: 0.9294, loss: 0.9294 +2023-12-24 16:14:36,707 - pyskl - INFO - Epoch [47][1100/1281] lr: 1.945e-02, eta: 15:02:06, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8688, top5_acc: 0.9969, loss_cls: 0.9528, loss: 0.9528 +2023-12-24 16:15:06,411 - pyskl - INFO - Epoch [47][1200/1281] lr: 1.943e-02, eta: 15:01:00, time: 0.297, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9962, loss_cls: 0.9090, loss: 0.9090 +2023-12-24 16:15:34,859 - pyskl - INFO - Saving checkpoint at 47 epochs +2023-12-24 16:16:31,413 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 16:16:31,486 - pyskl - INFO - +top1_acc 0.8607 +top5_acc 0.9899 +2023-12-24 16:16:31,486 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 16:16:31,496 - pyskl - INFO - +mean_acc 0.8114 +2023-12-24 16:16:31,502 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_39.pth was removed +2023-12-24 16:16:31,820 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. +2023-12-24 16:16:31,821 - pyskl - INFO - Best top1_acc is 0.8607 at 47 epoch. +2023-12-24 16:16:31,824 - pyskl - INFO - Epoch(val) [47][533] top1_acc: 0.8607, top5_acc: 0.9899, mean_class_accuracy: 0.8114 +2023-12-24 16:17:44,915 - pyskl - INFO - Epoch [48][100/1281] lr: 1.940e-02, eta: 14:59:44, time: 0.731, data_time: 0.281, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9981, loss_cls: 0.8301, loss: 0.8301 +2023-12-24 16:18:29,246 - pyskl - INFO - Epoch [48][200/1281] lr: 1.938e-02, eta: 14:59:10, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9969, loss_cls: 0.8435, loss: 0.8435 +2023-12-24 16:19:13,427 - pyskl - INFO - Epoch [48][300/1281] lr: 1.937e-02, eta: 14:58:36, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9981, loss_cls: 0.9112, loss: 0.9112 +2023-12-24 16:19:55,983 - pyskl - INFO - Epoch [48][400/1281] lr: 1.935e-02, eta: 14:57:59, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9938, loss_cls: 0.9194, loss: 0.9194 +2023-12-24 16:20:39,305 - pyskl - INFO - Epoch [48][500/1281] lr: 1.933e-02, eta: 14:57:23, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9975, loss_cls: 0.8720, loss: 0.8720 +2023-12-24 16:21:22,443 - pyskl - INFO - Epoch [48][600/1281] lr: 1.932e-02, eta: 14:56:47, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9969, loss_cls: 0.8352, loss: 0.8352 +2023-12-24 16:22:07,588 - pyskl - INFO - Epoch [48][700/1281] lr: 1.930e-02, eta: 14:56:15, time: 0.451, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9944, loss_cls: 0.8794, loss: 0.8794 +2023-12-24 16:22:54,022 - pyskl - INFO - Epoch [48][800/1281] lr: 1.928e-02, eta: 14:55:45, time: 0.464, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9950, loss_cls: 0.8535, loss: 0.8535 +2023-12-24 16:23:40,291 - pyskl - INFO - Epoch [48][900/1281] lr: 1.926e-02, eta: 14:55:16, time: 0.463, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9981, loss_cls: 0.8710, loss: 0.8710 +2023-12-24 16:24:26,420 - pyskl - INFO - Epoch [48][1000/1281] lr: 1.925e-02, eta: 14:54:46, time: 0.461, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9975, loss_cls: 0.8708, loss: 0.8708 +2023-12-24 16:25:05,383 - pyskl - INFO - Epoch [48][1100/1281] lr: 1.923e-02, eta: 14:54:00, time: 0.390, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9975, loss_cls: 0.9284, loss: 0.9284 +2023-12-24 16:25:33,601 - pyskl - INFO - Epoch [48][1200/1281] lr: 1.921e-02, eta: 14:52:52, time: 0.282, data_time: 0.000, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9950, loss_cls: 0.8707, loss: 0.8707 +2023-12-24 16:26:11,598 - pyskl - INFO - Saving checkpoint at 48 epochs +2023-12-24 16:27:33,088 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 16:27:33,164 - pyskl - INFO - +top1_acc 0.8472 +top5_acc 0.9926 +2023-12-24 16:27:33,165 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 16:27:33,191 - pyskl - INFO - +mean_acc 0.7860 +2023-12-24 16:27:33,211 - pyskl - INFO - Epoch(val) [48][533] top1_acc: 0.8472, top5_acc: 0.9926, mean_class_accuracy: 0.7860 +2023-12-24 16:28:49,039 - pyskl - INFO - Epoch [49][100/1281] lr: 1.918e-02, eta: 14:51:42, time: 0.758, data_time: 0.300, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9956, loss_cls: 0.8474, loss: 0.8474 +2023-12-24 16:29:33,387 - pyskl - INFO - Epoch [49][200/1281] lr: 1.916e-02, eta: 14:51:08, time: 0.443, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9969, loss_cls: 0.9162, loss: 0.9162 +2023-12-24 16:30:16,539 - pyskl - INFO - Epoch [49][300/1281] lr: 1.915e-02, eta: 14:50:31, time: 0.431, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9975, loss_cls: 0.8316, loss: 0.8316 +2023-12-24 16:30:59,799 - pyskl - INFO - Epoch [49][400/1281] lr: 1.913e-02, eta: 14:49:55, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9956, loss_cls: 0.8447, loss: 0.8447 +2023-12-24 16:31:43,772 - pyskl - INFO - Epoch [49][500/1281] lr: 1.911e-02, eta: 14:49:20, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9950, loss_cls: 0.9131, loss: 0.9131 +2023-12-24 16:32:29,746 - pyskl - INFO - Epoch [49][600/1281] lr: 1.909e-02, eta: 14:48:50, time: 0.460, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9925, loss_cls: 0.9030, loss: 0.9030 +2023-12-24 16:33:16,277 - pyskl - INFO - Epoch [49][700/1281] lr: 1.908e-02, eta: 14:48:20, time: 0.465, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9981, loss_cls: 0.8713, loss: 0.8713 +2023-12-24 16:34:03,163 - pyskl - INFO - Epoch [49][800/1281] lr: 1.906e-02, eta: 14:47:52, time: 0.469, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9919, loss_cls: 0.9139, loss: 0.9139 +2023-12-24 16:34:46,910 - pyskl - INFO - Epoch [49][900/1281] lr: 1.904e-02, eta: 14:47:16, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9962, loss_cls: 0.8816, loss: 0.8816 +2023-12-24 16:35:28,150 - pyskl - INFO - Epoch [49][1000/1281] lr: 1.902e-02, eta: 14:46:36, time: 0.412, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9950, loss_cls: 0.9156, loss: 0.9156 +2023-12-24 16:35:58,623 - pyskl - INFO - Epoch [49][1100/1281] lr: 1.901e-02, eta: 14:45:33, time: 0.305, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9944, loss_cls: 0.8947, loss: 0.8947 +2023-12-24 16:36:45,419 - pyskl - INFO - Epoch [49][1200/1281] lr: 1.899e-02, eta: 14:45:04, time: 0.468, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9925, loss_cls: 0.9027, loss: 0.9027 +2023-12-24 16:37:06,821 - pyskl - INFO - Saving checkpoint at 49 epochs +2023-12-24 16:38:35,793 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 16:38:35,885 - pyskl - INFO - +top1_acc 0.8460 +top5_acc 0.9898 +2023-12-24 16:38:35,885 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 16:38:35,896 - pyskl - INFO - +mean_acc 0.7933 +2023-12-24 16:38:35,899 - pyskl - INFO - Epoch(val) [49][533] top1_acc: 0.8460, top5_acc: 0.9898, mean_class_accuracy: 0.7933 +2023-12-24 16:39:50,402 - pyskl - INFO - Epoch [50][100/1281] lr: 1.896e-02, eta: 14:43:50, time: 0.745, data_time: 0.302, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9981, loss_cls: 0.8475, loss: 0.8475 +2023-12-24 16:40:36,280 - pyskl - INFO - Epoch [50][200/1281] lr: 1.894e-02, eta: 14:43:19, time: 0.459, data_time: 0.001, memory: 4120, top1_acc: 0.8875, top5_acc: 0.9969, loss_cls: 0.8940, loss: 0.8940 +2023-12-24 16:41:23,370 - pyskl - INFO - Epoch [50][300/1281] lr: 1.892e-02, eta: 14:42:50, time: 0.471, data_time: 0.001, memory: 4120, top1_acc: 0.8900, top5_acc: 0.9969, loss_cls: 0.8900, loss: 0.8900 +2023-12-24 16:42:08,233 - pyskl - INFO - Epoch [50][400/1281] lr: 1.891e-02, eta: 14:42:17, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8869, top5_acc: 0.9950, loss_cls: 0.8936, loss: 0.8936 +2023-12-24 16:42:52,784 - pyskl - INFO - Epoch [50][500/1281] lr: 1.889e-02, eta: 14:41:43, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9956, loss_cls: 0.8660, loss: 0.8660 +2023-12-24 16:43:39,477 - pyskl - INFO - Epoch [50][600/1281] lr: 1.887e-02, eta: 14:41:14, time: 0.467, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9988, loss_cls: 0.8592, loss: 0.8592 +2023-12-24 16:44:26,634 - pyskl - INFO - Epoch [50][700/1281] lr: 1.885e-02, eta: 14:40:45, time: 0.472, data_time: 0.001, memory: 4120, top1_acc: 0.8794, top5_acc: 0.9950, loss_cls: 0.8942, loss: 0.8942 +2023-12-24 16:45:11,053 - pyskl - INFO - Epoch [50][800/1281] lr: 1.884e-02, eta: 14:40:11, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9981, loss_cls: 0.8407, loss: 0.8407 +2023-12-24 16:45:45,630 - pyskl - INFO - Epoch [50][900/1281] lr: 1.882e-02, eta: 14:39:16, time: 0.346, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9956, loss_cls: 0.8991, loss: 0.8991 +2023-12-24 16:46:25,542 - pyskl - INFO - Epoch [50][1000/1281] lr: 1.880e-02, eta: 14:38:33, time: 0.399, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9906, loss_cls: 0.8938, loss: 0.8938 +2023-12-24 16:47:04,910 - pyskl - INFO - Epoch [50][1100/1281] lr: 1.878e-02, eta: 14:37:49, time: 0.394, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9950, loss_cls: 0.8885, loss: 0.8885 +2023-12-24 16:47:33,217 - pyskl - INFO - Epoch [50][1200/1281] lr: 1.876e-02, eta: 14:36:42, time: 0.283, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9981, loss_cls: 0.8864, loss: 0.8864 +2023-12-24 16:48:11,963 - pyskl - INFO - Saving checkpoint at 50 epochs +2023-12-24 16:49:45,716 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 16:49:45,788 - pyskl - INFO - +top1_acc 0.8586 +top5_acc 0.9885 +2023-12-24 16:49:45,788 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 16:49:45,811 - pyskl - INFO - +mean_acc 0.7933 +2023-12-24 16:49:45,823 - pyskl - INFO - Epoch(val) [50][533] top1_acc: 0.8586, top5_acc: 0.9885, mean_class_accuracy: 0.7933 +2023-12-24 16:50:56,699 - pyskl - INFO - Epoch [51][100/1281] lr: 1.873e-02, eta: 14:35:21, time: 0.709, data_time: 0.265, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9944, loss_cls: 0.8612, loss: 0.8612 +2023-12-24 16:51:42,846 - pyskl - INFO - Epoch [51][200/1281] lr: 1.871e-02, eta: 14:34:50, time: 0.461, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9969, loss_cls: 0.9056, loss: 0.9056 +2023-12-24 16:52:29,688 - pyskl - INFO - Epoch [51][300/1281] lr: 1.870e-02, eta: 14:34:20, time: 0.468, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9969, loss_cls: 0.8560, loss: 0.8560 +2023-12-24 16:53:14,066 - pyskl - INFO - Epoch [51][400/1281] lr: 1.868e-02, eta: 14:33:46, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8819, top5_acc: 0.9956, loss_cls: 0.9222, loss: 0.9222 +2023-12-24 16:53:58,994 - pyskl - INFO - Epoch [51][500/1281] lr: 1.866e-02, eta: 14:33:13, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9975, loss_cls: 0.8590, loss: 0.8590 +2023-12-24 16:54:45,295 - pyskl - INFO - Epoch [51][600/1281] lr: 1.864e-02, eta: 14:32:42, time: 0.463, data_time: 0.001, memory: 4120, top1_acc: 0.9025, top5_acc: 0.9962, loss_cls: 0.8544, loss: 0.8544 +2023-12-24 16:55:31,536 - pyskl - INFO - Epoch [51][700/1281] lr: 1.863e-02, eta: 14:32:11, time: 0.462, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9950, loss_cls: 0.8859, loss: 0.8859 +2023-12-24 16:55:56,589 - pyskl - INFO - Epoch [51][800/1281] lr: 1.861e-02, eta: 14:30:58, time: 0.251, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9969, loss_cls: 0.8712, loss: 0.8712 +2023-12-24 16:56:39,137 - pyskl - INFO - Epoch [51][900/1281] lr: 1.859e-02, eta: 14:30:20, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9988, loss_cls: 0.8502, loss: 0.8502 +2023-12-24 16:57:13,533 - pyskl - INFO - Epoch [51][1000/1281] lr: 1.857e-02, eta: 14:29:26, time: 0.344, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9975, loss_cls: 0.8611, loss: 0.8611 +2023-12-24 16:57:50,434 - pyskl - INFO - Epoch [51][1100/1281] lr: 1.855e-02, eta: 14:28:37, time: 0.369, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9938, loss_cls: 0.8617, loss: 0.8617 +2023-12-24 16:58:37,472 - pyskl - INFO - Epoch [51][1200/1281] lr: 1.854e-02, eta: 14:28:08, time: 0.470, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9969, loss_cls: 0.8729, loss: 0.8729 +2023-12-24 16:59:14,149 - pyskl - INFO - Saving checkpoint at 51 epochs +2023-12-24 17:00:37,456 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:00:37,527 - pyskl - INFO - +top1_acc 0.8405 +top5_acc 0.9873 +2023-12-24 17:00:37,528 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:00:37,541 - pyskl - INFO - +mean_acc 0.7935 +2023-12-24 17:00:37,544 - pyskl - INFO - Epoch(val) [51][533] top1_acc: 0.8405, top5_acc: 0.9873, mean_class_accuracy: 0.7935 +2023-12-24 17:01:45,814 - pyskl - INFO - Epoch [52][100/1281] lr: 1.850e-02, eta: 14:26:42, time: 0.683, data_time: 0.238, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9962, loss_cls: 0.8396, loss: 0.8396 +2023-12-24 17:02:32,062 - pyskl - INFO - Epoch [52][200/1281] lr: 1.849e-02, eta: 14:26:11, time: 0.462, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9956, loss_cls: 0.8216, loss: 0.8216 +2023-12-24 17:03:18,657 - pyskl - INFO - Epoch [52][300/1281] lr: 1.847e-02, eta: 14:25:40, time: 0.466, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9981, loss_cls: 0.8535, loss: 0.8535 +2023-12-24 17:04:05,472 - pyskl - INFO - Epoch [52][400/1281] lr: 1.845e-02, eta: 14:25:10, time: 0.468, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9956, loss_cls: 0.8922, loss: 0.8922 +2023-12-24 17:04:50,367 - pyskl - INFO - Epoch [52][500/1281] lr: 1.843e-02, eta: 14:24:37, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9988, loss_cls: 0.8779, loss: 0.8779 +2023-12-24 17:05:35,241 - pyskl - INFO - Epoch [52][600/1281] lr: 1.841e-02, eta: 14:24:03, time: 0.449, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9931, loss_cls: 0.9192, loss: 0.9192 +2023-12-24 17:06:05,380 - pyskl - INFO - Epoch [52][700/1281] lr: 1.840e-02, eta: 14:23:01, time: 0.301, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9956, loss_cls: 0.8742, loss: 0.8742 +2023-12-24 17:06:45,987 - pyskl - INFO - Epoch [52][800/1281] lr: 1.838e-02, eta: 14:22:19, time: 0.406, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9975, loss_cls: 0.8601, loss: 0.8601 +2023-12-24 17:07:22,080 - pyskl - INFO - Epoch [52][900/1281] lr: 1.836e-02, eta: 14:21:29, time: 0.361, data_time: 0.001, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9988, loss_cls: 0.9393, loss: 0.9393 +2023-12-24 17:07:56,242 - pyskl - INFO - Epoch [52][1000/1281] lr: 1.834e-02, eta: 14:20:34, time: 0.342, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9950, loss_cls: 0.8938, loss: 0.8938 +2023-12-24 17:08:39,064 - pyskl - INFO - Epoch [52][1100/1281] lr: 1.832e-02, eta: 14:19:57, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8775, top5_acc: 0.9962, loss_cls: 0.9050, loss: 0.9050 +2023-12-24 17:09:21,575 - pyskl - INFO - Epoch [52][1200/1281] lr: 1.831e-02, eta: 14:19:18, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.8769, top5_acc: 0.9962, loss_cls: 0.9084, loss: 0.9084 +2023-12-24 17:09:57,017 - pyskl - INFO - Saving checkpoint at 52 epochs +2023-12-24 17:11:12,104 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:11:12,163 - pyskl - INFO - +top1_acc 0.8323 +top5_acc 0.9896 +2023-12-24 17:11:12,163 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:11:12,176 - pyskl - INFO - +mean_acc 0.7689 +2023-12-24 17:11:12,182 - pyskl - INFO - Epoch(val) [52][533] top1_acc: 0.8323, top5_acc: 0.9896, mean_class_accuracy: 0.7689 +2023-12-24 17:12:17,783 - pyskl - INFO - Epoch [53][100/1281] lr: 1.827e-02, eta: 14:17:48, time: 0.656, data_time: 0.229, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9956, loss_cls: 0.8793, loss: 0.8793 +2023-12-24 17:13:01,067 - pyskl - INFO - Epoch [53][200/1281] lr: 1.826e-02, eta: 14:17:11, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9981, loss_cls: 0.8592, loss: 0.8592 +2023-12-24 17:13:43,766 - pyskl - INFO - Epoch [53][300/1281] lr: 1.824e-02, eta: 14:16:33, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 0.7966, loss: 0.7966 +2023-12-24 17:14:26,713 - pyskl - INFO - Epoch [53][400/1281] lr: 1.822e-02, eta: 14:15:56, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.8788, top5_acc: 0.9944, loss_cls: 0.9168, loss: 0.9168 +2023-12-24 17:15:09,721 - pyskl - INFO - Epoch [53][500/1281] lr: 1.820e-02, eta: 14:15:18, time: 0.430, data_time: 0.000, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9975, loss_cls: 0.8122, loss: 0.8122 +2023-12-24 17:15:53,485 - pyskl - INFO - Epoch [53][600/1281] lr: 1.818e-02, eta: 14:14:42, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 0.8386, loss: 0.8386 +2023-12-24 17:16:21,602 - pyskl - INFO - Epoch [53][700/1281] lr: 1.816e-02, eta: 14:13:37, time: 0.281, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9975, loss_cls: 0.8566, loss: 0.8566 +2023-12-24 17:17:06,340 - pyskl - INFO - Epoch [53][800/1281] lr: 1.815e-02, eta: 14:13:03, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8856, top5_acc: 0.9938, loss_cls: 0.8937, loss: 0.8937 +2023-12-24 17:17:37,001 - pyskl - INFO - Epoch [53][900/1281] lr: 1.813e-02, eta: 14:12:03, time: 0.307, data_time: 0.001, memory: 4120, top1_acc: 0.8806, top5_acc: 0.9956, loss_cls: 0.9129, loss: 0.9129 +2023-12-24 17:18:15,068 - pyskl - INFO - Epoch [53][1000/1281] lr: 1.811e-02, eta: 14:11:16, time: 0.381, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9956, loss_cls: 0.8685, loss: 0.8685 +2023-12-24 17:18:57,958 - pyskl - INFO - Epoch [53][1100/1281] lr: 1.809e-02, eta: 14:10:39, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 0.8867, loss: 0.8867 +2023-12-24 17:19:42,646 - pyskl - INFO - Epoch [53][1200/1281] lr: 1.807e-02, eta: 14:10:05, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9969, loss_cls: 0.9005, loss: 0.9005 +2023-12-24 17:20:17,740 - pyskl - INFO - Saving checkpoint at 53 epochs +2023-12-24 17:21:39,476 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:21:39,543 - pyskl - INFO - +top1_acc 0.8488 +top5_acc 0.9911 +2023-12-24 17:21:39,543 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:21:39,557 - pyskl - INFO - +mean_acc 0.7991 +2023-12-24 17:21:39,568 - pyskl - INFO - Epoch(val) [53][533] top1_acc: 0.8488, top5_acc: 0.9911, mean_class_accuracy: 0.7991 +2023-12-24 17:22:51,430 - pyskl - INFO - Epoch [54][100/1281] lr: 1.804e-02, eta: 14:08:46, time: 0.719, data_time: 0.270, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 0.8131, loss: 0.8131 +2023-12-24 17:23:36,003 - pyskl - INFO - Epoch [54][200/1281] lr: 1.802e-02, eta: 14:08:11, time: 0.446, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9988, loss_cls: 0.8483, loss: 0.8483 +2023-12-24 17:24:19,182 - pyskl - INFO - Epoch [54][300/1281] lr: 1.800e-02, eta: 14:07:34, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9975, loss_cls: 0.8985, loss: 0.8985 +2023-12-24 17:25:02,035 - pyskl - INFO - Epoch [54][400/1281] lr: 1.798e-02, eta: 14:06:57, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9981, loss_cls: 0.8771, loss: 0.8771 +2023-12-24 17:25:45,536 - pyskl - INFO - Epoch [54][500/1281] lr: 1.797e-02, eta: 14:06:20, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 0.8070, loss: 0.8070 +2023-12-24 17:26:16,297 - pyskl - INFO - Epoch [54][600/1281] lr: 1.795e-02, eta: 14:05:20, time: 0.308, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9969, loss_cls: 0.8274, loss: 0.8274 +2023-12-24 17:26:57,347 - pyskl - INFO - Epoch [54][700/1281] lr: 1.793e-02, eta: 14:04:39, time: 0.410, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9931, loss_cls: 0.8863, loss: 0.8863 +2023-12-24 17:27:30,686 - pyskl - INFO - Epoch [54][800/1281] lr: 1.791e-02, eta: 14:03:45, time: 0.333, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9950, loss_cls: 0.9226, loss: 0.9226 +2023-12-24 17:28:06,900 - pyskl - INFO - Epoch [54][900/1281] lr: 1.789e-02, eta: 14:02:55, time: 0.362, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9956, loss_cls: 0.8659, loss: 0.8659 +2023-12-24 17:28:50,545 - pyskl - INFO - Epoch [54][1000/1281] lr: 1.787e-02, eta: 14:02:19, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9969, loss_cls: 0.8952, loss: 0.8952 +2023-12-24 17:29:32,539 - pyskl - INFO - Epoch [54][1100/1281] lr: 1.786e-02, eta: 14:01:40, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9956, loss_cls: 0.8928, loss: 0.8928 +2023-12-24 17:30:16,209 - pyskl - INFO - Epoch [54][1200/1281] lr: 1.784e-02, eta: 14:01:03, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9956, loss_cls: 0.9002, loss: 0.9002 +2023-12-24 17:30:55,175 - pyskl - INFO - Saving checkpoint at 54 epochs +2023-12-24 17:32:20,870 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:32:20,952 - pyskl - INFO - +top1_acc 0.8332 +top5_acc 0.9879 +2023-12-24 17:32:20,952 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:32:20,969 - pyskl - INFO - +mean_acc 0.7829 +2023-12-24 17:32:20,973 - pyskl - INFO - Epoch(val) [54][533] top1_acc: 0.8332, top5_acc: 0.9879, mean_class_accuracy: 0.7829 +2023-12-24 17:33:31,535 - pyskl - INFO - Epoch [55][100/1281] lr: 1.780e-02, eta: 13:59:43, time: 0.706, data_time: 0.260, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 0.8077, loss: 0.8077 +2023-12-24 17:34:13,403 - pyskl - INFO - Epoch [55][200/1281] lr: 1.779e-02, eta: 13:59:03, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9975, loss_cls: 0.7998, loss: 0.7998 +2023-12-24 17:34:57,194 - pyskl - INFO - Epoch [55][300/1281] lr: 1.777e-02, eta: 13:58:27, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9962, loss_cls: 0.8240, loss: 0.8240 +2023-12-24 17:35:42,975 - pyskl - INFO - Epoch [55][400/1281] lr: 1.775e-02, eta: 13:57:54, time: 0.458, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9969, loss_cls: 0.8572, loss: 0.8572 +2023-12-24 17:36:13,599 - pyskl - INFO - Epoch [55][500/1281] lr: 1.773e-02, eta: 13:56:55, time: 0.306, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9962, loss_cls: 0.8558, loss: 0.8558 +2023-12-24 17:36:55,448 - pyskl - INFO - Epoch [55][600/1281] lr: 1.771e-02, eta: 13:56:16, time: 0.418, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9944, loss_cls: 0.8370, loss: 0.8370 +2023-12-24 17:37:28,966 - pyskl - INFO - Epoch [55][700/1281] lr: 1.769e-02, eta: 13:55:21, time: 0.335, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9962, loss_cls: 0.8194, loss: 0.8194 +2023-12-24 17:38:04,226 - pyskl - INFO - Epoch [55][800/1281] lr: 1.767e-02, eta: 13:54:30, time: 0.353, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9981, loss_cls: 0.9102, loss: 0.9102 +2023-12-24 17:38:47,121 - pyskl - INFO - Epoch [55][900/1281] lr: 1.766e-02, eta: 13:53:53, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8906, top5_acc: 0.9988, loss_cls: 0.8653, loss: 0.8653 +2023-12-24 17:39:29,763 - pyskl - INFO - Epoch [55][1000/1281] lr: 1.764e-02, eta: 13:53:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9938, loss_cls: 0.9086, loss: 0.9086 +2023-12-24 17:40:14,125 - pyskl - INFO - Epoch [55][1100/1281] lr: 1.762e-02, eta: 13:52:40, time: 0.444, data_time: 0.000, memory: 4120, top1_acc: 0.8738, top5_acc: 0.9956, loss_cls: 0.9287, loss: 0.9287 +2023-12-24 17:40:58,549 - pyskl - INFO - Epoch [55][1200/1281] lr: 1.760e-02, eta: 13:52:05, time: 0.444, data_time: 0.001, memory: 4120, top1_acc: 0.8862, top5_acc: 0.9944, loss_cls: 0.8966, loss: 0.8966 +2023-12-24 17:41:36,994 - pyskl - INFO - Saving checkpoint at 55 epochs +2023-12-24 17:42:59,947 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:43:00,008 - pyskl - INFO - +top1_acc 0.8449 +top5_acc 0.9920 +2023-12-24 17:43:00,008 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:43:00,016 - pyskl - INFO - +mean_acc 0.7910 +2023-12-24 17:43:00,019 - pyskl - INFO - Epoch(val) [55][533] top1_acc: 0.8449, top5_acc: 0.9920, mean_class_accuracy: 0.7910 +2023-12-24 17:44:02,172 - pyskl - INFO - Epoch [56][100/1281] lr: 1.757e-02, eta: 13:50:30, time: 0.621, data_time: 0.201, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9988, loss_cls: 0.8343, loss: 0.8343 +2023-12-24 17:44:46,911 - pyskl - INFO - Epoch [56][200/1281] lr: 1.755e-02, eta: 13:49:55, time: 0.447, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9975, loss_cls: 0.8137, loss: 0.8137 +2023-12-24 17:45:31,907 - pyskl - INFO - Epoch [56][300/1281] lr: 1.753e-02, eta: 13:49:21, time: 0.450, data_time: 0.001, memory: 4120, top1_acc: 0.8831, top5_acc: 0.9969, loss_cls: 0.9116, loss: 0.9116 +2023-12-24 17:46:08,180 - pyskl - INFO - Epoch [56][400/1281] lr: 1.751e-02, eta: 13:48:32, time: 0.363, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9988, loss_cls: 0.8197, loss: 0.8197 +2023-12-24 17:46:44,258 - pyskl - INFO - Epoch [56][500/1281] lr: 1.749e-02, eta: 13:47:42, time: 0.361, data_time: 0.001, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9938, loss_cls: 0.8360, loss: 0.8360 +2023-12-24 17:47:22,902 - pyskl - INFO - Epoch [56][600/1281] lr: 1.747e-02, eta: 13:46:57, time: 0.386, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9975, loss_cls: 0.8682, loss: 0.8682 +2023-12-24 17:47:55,190 - pyskl - INFO - Epoch [56][700/1281] lr: 1.745e-02, eta: 13:46:02, time: 0.323, data_time: 0.001, memory: 4120, top1_acc: 0.8781, top5_acc: 0.9962, loss_cls: 0.9016, loss: 0.9016 +2023-12-24 17:48:36,893 - pyskl - INFO - Epoch [56][800/1281] lr: 1.743e-02, eta: 13:45:22, time: 0.417, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 0.8238, loss: 0.8238 +2023-12-24 17:49:21,358 - pyskl - INFO - Epoch [56][900/1281] lr: 1.742e-02, eta: 13:44:47, time: 0.445, data_time: 0.001, memory: 4120, top1_acc: 0.8838, top5_acc: 0.9956, loss_cls: 0.8792, loss: 0.8792 +2023-12-24 17:50:07,449 - pyskl - INFO - Epoch [56][1000/1281] lr: 1.740e-02, eta: 13:44:15, time: 0.461, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9981, loss_cls: 0.8328, loss: 0.8328 +2023-12-24 17:50:52,897 - pyskl - INFO - Epoch [56][1100/1281] lr: 1.738e-02, eta: 13:43:41, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9969, loss_cls: 0.9017, loss: 0.9017 +2023-12-24 17:51:39,143 - pyskl - INFO - Epoch [56][1200/1281] lr: 1.736e-02, eta: 13:43:09, time: 0.462, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9950, loss_cls: 0.8763, loss: 0.8763 +2023-12-24 17:52:17,519 - pyskl - INFO - Saving checkpoint at 56 epochs +2023-12-24 17:53:42,509 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:53:42,569 - pyskl - INFO - +top1_acc 0.8717 +top5_acc 0.9931 +2023-12-24 17:53:42,570 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:53:42,577 - pyskl - INFO - +mean_acc 0.8257 +2023-12-24 17:53:42,583 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_47.pth was removed +2023-12-24 17:53:42,774 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. +2023-12-24 17:53:42,775 - pyskl - INFO - Best top1_acc is 0.8717 at 56 epoch. +2023-12-24 17:53:42,778 - pyskl - INFO - Epoch(val) [56][533] top1_acc: 0.8717, top5_acc: 0.9931, mean_class_accuracy: 0.8257 +2023-12-24 17:54:44,045 - pyskl - INFO - Epoch [57][100/1281] lr: 1.733e-02, eta: 13:41:33, time: 0.613, data_time: 0.173, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 0.7989, loss: 0.7989 +2023-12-24 17:55:29,876 - pyskl - INFO - Epoch [57][200/1281] lr: 1.731e-02, eta: 13:41:00, time: 0.458, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9969, loss_cls: 0.8337, loss: 0.8337 +2023-12-24 17:56:06,888 - pyskl - INFO - Epoch [57][300/1281] lr: 1.729e-02, eta: 13:40:13, time: 0.370, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9969, loss_cls: 0.7920, loss: 0.7920 +2023-12-24 17:56:41,969 - pyskl - INFO - Epoch [57][400/1281] lr: 1.727e-02, eta: 13:39:22, time: 0.351, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9950, loss_cls: 0.8362, loss: 0.8362 +2023-12-24 17:57:21,900 - pyskl - INFO - Epoch [57][500/1281] lr: 1.725e-02, eta: 13:38:39, time: 0.399, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 0.7986, loss: 0.7986 +2023-12-24 17:57:50,845 - pyskl - INFO - Epoch [57][600/1281] lr: 1.723e-02, eta: 13:37:38, time: 0.289, data_time: 0.001, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9981, loss_cls: 0.8492, loss: 0.8492 +2023-12-24 17:58:34,661 - pyskl - INFO - Epoch [57][700/1281] lr: 1.721e-02, eta: 13:37:02, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9950, loss_cls: 0.8322, loss: 0.8322 +2023-12-24 17:59:16,812 - pyskl - INFO - Epoch [57][800/1281] lr: 1.719e-02, eta: 13:36:23, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9944, loss_cls: 0.8626, loss: 0.8626 +2023-12-24 18:00:00,608 - pyskl - INFO - Epoch [57][900/1281] lr: 1.717e-02, eta: 13:35:47, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.8938, top5_acc: 0.9969, loss_cls: 0.8707, loss: 0.8707 +2023-12-24 18:00:46,426 - pyskl - INFO - Epoch [57][1000/1281] lr: 1.716e-02, eta: 13:35:14, time: 0.458, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9938, loss_cls: 0.8304, loss: 0.8304 +2023-12-24 18:01:32,103 - pyskl - INFO - Epoch [57][1100/1281] lr: 1.714e-02, eta: 13:34:41, time: 0.457, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9956, loss_cls: 0.8359, loss: 0.8359 +2023-12-24 18:02:18,125 - pyskl - INFO - Epoch [57][1200/1281] lr: 1.712e-02, eta: 13:34:08, time: 0.460, data_time: 0.001, memory: 4120, top1_acc: 0.8925, top5_acc: 0.9950, loss_cls: 0.8743, loss: 0.8743 +2023-12-24 18:02:56,305 - pyskl - INFO - Saving checkpoint at 57 epochs +2023-12-24 18:04:12,758 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 18:04:12,827 - pyskl - INFO - +top1_acc 0.8737 +top5_acc 0.9937 +2023-12-24 18:04:12,827 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 18:04:12,842 - pyskl - INFO - +mean_acc 0.8210 +2023-12-24 18:04:12,853 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_56.pth was removed +2023-12-24 18:04:13,245 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_57.pth. +2023-12-24 18:04:13,245 - pyskl - INFO - Best top1_acc is 0.8737 at 57 epoch. +2023-12-24 18:04:13,259 - pyskl - INFO - Epoch(val) [57][533] top1_acc: 0.8737, top5_acc: 0.9937, mean_class_accuracy: 0.8210 +2023-12-24 18:05:19,495 - pyskl - INFO - Epoch [58][100/1281] lr: 1.708e-02, eta: 13:32:41, time: 0.662, data_time: 0.210, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 0.8254, loss: 0.8254 +2023-12-24 18:06:04,931 - pyskl - INFO - Epoch [58][200/1281] lr: 1.706e-02, eta: 13:32:07, time: 0.454, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 1.0000, loss_cls: 0.8001, loss: 0.8001 +2023-12-24 18:06:30,856 - pyskl - INFO - Epoch [58][300/1281] lr: 1.704e-02, eta: 13:31:02, time: 0.259, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9950, loss_cls: 0.8166, loss: 0.8166 +2023-12-24 18:07:17,231 - pyskl - INFO - Epoch [58][400/1281] lr: 1.703e-02, eta: 13:30:30, time: 0.464, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9994, loss_cls: 0.8425, loss: 0.8425 +2023-12-24 18:07:42,502 - pyskl - INFO - Epoch [58][500/1281] lr: 1.701e-02, eta: 13:29:23, time: 0.253, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9969, loss_cls: 0.8430, loss: 0.8430 +2023-12-24 18:08:22,765 - pyskl - INFO - Epoch [58][600/1281] lr: 1.699e-02, eta: 13:28:41, time: 0.403, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 0.8301, loss: 0.8301 +2023-12-24 18:09:06,151 - pyskl - INFO - Epoch [58][700/1281] lr: 1.697e-02, eta: 13:28:04, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9988, loss_cls: 0.8098, loss: 0.8098 +2023-12-24 18:09:49,548 - pyskl - INFO - Epoch [58][800/1281] lr: 1.695e-02, eta: 13:27:27, time: 0.434, data_time: 0.001, memory: 4120, top1_acc: 0.8850, top5_acc: 0.9944, loss_cls: 0.8813, loss: 0.8813 +2023-12-24 18:10:35,321 - pyskl - INFO - Epoch [58][900/1281] lr: 1.693e-02, eta: 13:26:54, time: 0.458, data_time: 0.001, memory: 4120, top1_acc: 0.8950, top5_acc: 0.9944, loss_cls: 0.8552, loss: 0.8552 +2023-12-24 18:11:20,561 - pyskl - INFO - Epoch [58][1000/1281] lr: 1.691e-02, eta: 13:26:20, time: 0.452, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9988, loss_cls: 0.8518, loss: 0.8518 +2023-12-24 18:12:06,075 - pyskl - INFO - Epoch [58][1100/1281] lr: 1.689e-02, eta: 13:25:46, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.8881, top5_acc: 0.9938, loss_cls: 0.8760, loss: 0.8760 +2023-12-24 18:12:51,536 - pyskl - INFO - Epoch [58][1200/1281] lr: 1.687e-02, eta: 13:25:13, time: 0.455, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9956, loss_cls: 0.8298, loss: 0.8298 +2023-12-24 18:13:27,530 - pyskl - INFO - Saving checkpoint at 58 epochs +2023-12-24 18:14:44,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 18:14:44,689 - pyskl - INFO - +top1_acc 0.8359 +top5_acc 0.9838 +2023-12-24 18:14:44,689 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 18:14:44,698 - pyskl - INFO - +mean_acc 0.7999 +2023-12-24 18:14:44,701 - pyskl - INFO - Epoch(val) [58][533] top1_acc: 0.8359, top5_acc: 0.9838, mean_class_accuracy: 0.7999 +2023-12-24 18:15:54,027 - pyskl - INFO - Epoch [59][100/1281] lr: 1.684e-02, eta: 13:23:51, time: 0.693, data_time: 0.241, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9956, loss_cls: 0.8260, loss: 0.8260 +2023-12-24 18:16:23,092 - pyskl - INFO - Epoch [59][200/1281] lr: 1.682e-02, eta: 13:22:51, time: 0.291, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9969, loss_cls: 0.8410, loss: 0.8410 +2023-12-24 18:17:05,965 - pyskl - INFO - Epoch [59][300/1281] lr: 1.680e-02, eta: 13:22:13, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 0.8250, loss: 0.8250 +2023-12-24 18:17:35,497 - pyskl - INFO - Epoch [59][400/1281] lr: 1.678e-02, eta: 13:21:14, time: 0.295, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9988, loss_cls: 0.8237, loss: 0.8237 +2023-12-24 18:18:10,375 - pyskl - INFO - Epoch [59][500/1281] lr: 1.676e-02, eta: 13:20:24, time: 0.349, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9981, loss_cls: 0.7996, loss: 0.7996 +2023-12-24 18:18:52,557 - pyskl - INFO - Epoch [59][600/1281] lr: 1.674e-02, eta: 13:19:45, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.8844, top5_acc: 0.9962, loss_cls: 0.8778, loss: 0.8778 +2023-12-24 18:19:35,741 - pyskl - INFO - Epoch [59][700/1281] lr: 1.672e-02, eta: 13:19:07, time: 0.432, data_time: 0.001, memory: 4120, top1_acc: 0.9044, top5_acc: 0.9969, loss_cls: 0.8392, loss: 0.8392 +2023-12-24 18:20:19,868 - pyskl - INFO - Epoch [59][800/1281] lr: 1.670e-02, eta: 13:18:32, time: 0.441, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9981, loss_cls: 0.8250, loss: 0.8250 +2023-12-24 18:21:03,734 - pyskl - INFO - Epoch [59][900/1281] lr: 1.668e-02, eta: 13:17:55, time: 0.439, data_time: 0.001, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9950, loss_cls: 0.8363, loss: 0.8363 +2023-12-24 18:21:47,381 - pyskl - INFO - Epoch [59][1000/1281] lr: 1.667e-02, eta: 13:17:18, time: 0.436, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9969, loss_cls: 0.7959, loss: 0.7959 +2023-12-24 18:22:30,036 - pyskl - INFO - Epoch [59][1100/1281] lr: 1.665e-02, eta: 13:16:40, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8894, top5_acc: 0.9969, loss_cls: 0.8682, loss: 0.8682 +2023-12-24 18:23:13,028 - pyskl - INFO - Epoch [59][1200/1281] lr: 1.663e-02, eta: 13:16:02, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8888, top5_acc: 0.9962, loss_cls: 0.8784, loss: 0.8784 +2023-12-24 18:23:48,860 - pyskl - INFO - Saving checkpoint at 59 epochs +2023-12-24 18:25:09,831 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 18:25:09,895 - pyskl - INFO - +top1_acc 0.8548 +top5_acc 0.9912 +2023-12-24 18:25:09,895 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 18:25:09,905 - pyskl - INFO - +mean_acc 0.8202 +2023-12-24 18:25:09,909 - pyskl - INFO - Epoch(val) [59][533] top1_acc: 0.8548, top5_acc: 0.9912, mean_class_accuracy: 0.8202 +2023-12-24 18:26:10,486 - pyskl - INFO - Epoch [60][100/1281] lr: 1.659e-02, eta: 13:14:27, time: 0.606, data_time: 0.238, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 0.8022, loss: 0.8022 +2023-12-24 18:26:42,006 - pyskl - INFO - Epoch [60][200/1281] lr: 1.657e-02, eta: 13:13:32, time: 0.315, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9988, loss_cls: 0.7805, loss: 0.7805 +2023-12-24 18:27:22,162 - pyskl - INFO - Epoch [60][300/1281] lr: 1.655e-02, eta: 13:12:50, time: 0.402, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9981, loss_cls: 0.8226, loss: 0.8226 +2023-12-24 18:27:48,763 - pyskl - INFO - Epoch [60][400/1281] lr: 1.653e-02, eta: 13:11:47, time: 0.266, data_time: 0.001, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9981, loss_cls: 0.8073, loss: 0.8073 +2023-12-24 18:28:31,698 - pyskl - INFO - Epoch [60][500/1281] lr: 1.651e-02, eta: 13:11:09, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9981, loss_cls: 0.7997, loss: 0.7997 +2023-12-24 18:29:14,957 - pyskl - INFO - Epoch [60][600/1281] lr: 1.650e-02, eta: 13:10:32, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9981, loss_cls: 0.7997, loss: 0.7997 +2023-12-24 18:29:58,942 - pyskl - INFO - Epoch [60][700/1281] lr: 1.648e-02, eta: 13:09:56, time: 0.440, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9944, loss_cls: 0.8539, loss: 0.8539 +2023-12-24 18:30:42,686 - pyskl - INFO - Epoch [60][800/1281] lr: 1.646e-02, eta: 13:09:19, time: 0.437, data_time: 0.001, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9975, loss_cls: 0.7914, loss: 0.7914 +2023-12-24 18:31:24,612 - pyskl - INFO - Epoch [60][900/1281] lr: 1.644e-02, eta: 13:08:40, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9012, top5_acc: 0.9969, loss_cls: 0.8663, loss: 0.8663 +2023-12-24 18:32:07,575 - pyskl - INFO - Epoch [60][1000/1281] lr: 1.642e-02, eta: 13:08:02, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8969, top5_acc: 0.9950, loss_cls: 0.8688, loss: 0.8688 +2023-12-24 18:32:50,548 - pyskl - INFO - Epoch [60][1100/1281] lr: 1.640e-02, eta: 13:07:24, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 1.0000, loss_cls: 0.8096, loss: 0.8096 +2023-12-24 18:33:32,999 - pyskl - INFO - Epoch [60][1200/1281] lr: 1.638e-02, eta: 13:06:46, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 0.8119, loss: 0.8119 +2023-12-24 18:34:08,569 - pyskl - INFO - Saving checkpoint at 60 epochs +2023-12-24 18:35:24,862 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 18:35:24,919 - pyskl - INFO - +top1_acc 0.8579 +top5_acc 0.9877 +2023-12-24 18:35:24,919 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 18:35:24,928 - pyskl - INFO - +mean_acc 0.8078 +2023-12-24 18:35:24,930 - pyskl - INFO - Epoch(val) [60][533] top1_acc: 0.8579, top5_acc: 0.9877, mean_class_accuracy: 0.8078 +2023-12-24 18:36:18,191 - pyskl - INFO - Epoch [61][100/1281] lr: 1.634e-02, eta: 13:05:00, time: 0.533, data_time: 0.215, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9975, loss_cls: 0.8351, loss: 0.8351 +2023-12-24 18:36:56,445 - pyskl - INFO - Epoch [61][200/1281] lr: 1.632e-02, eta: 13:04:16, time: 0.382, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.7583, loss: 0.7583 +2023-12-24 18:37:30,996 - pyskl - INFO - Epoch [61][300/1281] lr: 1.630e-02, eta: 13:03:25, time: 0.346, data_time: 0.001, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9994, loss_cls: 0.8220, loss: 0.8220 +2023-12-24 18:38:03,302 - pyskl - INFO - Epoch [61][400/1281] lr: 1.629e-02, eta: 13:02:32, time: 0.323, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9988, loss_cls: 0.8610, loss: 0.8610 +2023-12-24 18:38:45,342 - pyskl - INFO - Epoch [61][500/1281] lr: 1.627e-02, eta: 13:01:53, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9969, loss_cls: 0.8454, loss: 0.8454 +2023-12-24 18:39:27,009 - pyskl - INFO - Epoch [61][600/1281] lr: 1.625e-02, eta: 13:01:13, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 0.8091, loss: 0.8091 +2023-12-24 18:40:09,735 - pyskl - INFO - Epoch [61][700/1281] lr: 1.623e-02, eta: 13:00:35, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.8981, top5_acc: 0.9938, loss_cls: 0.8533, loss: 0.8533 +2023-12-24 18:40:52,692 - pyskl - INFO - Epoch [61][800/1281] lr: 1.621e-02, eta: 12:59:57, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9056, top5_acc: 0.9962, loss_cls: 0.8231, loss: 0.8231 +2023-12-24 18:41:36,015 - pyskl - INFO - Epoch [61][900/1281] lr: 1.619e-02, eta: 12:59:20, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.9006, top5_acc: 0.9962, loss_cls: 0.8365, loss: 0.8365 +2023-12-24 18:42:18,644 - pyskl - INFO - Epoch [61][1000/1281] lr: 1.617e-02, eta: 12:58:41, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9956, loss_cls: 0.8406, loss: 0.8406 +2023-12-24 18:43:00,652 - pyskl - INFO - Epoch [61][1100/1281] lr: 1.615e-02, eta: 12:58:02, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9975, loss_cls: 0.7736, loss: 0.7736 +2023-12-24 18:43:42,544 - pyskl - INFO - Epoch [61][1200/1281] lr: 1.613e-02, eta: 12:57:23, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9962, loss_cls: 0.8638, loss: 0.8638 +2023-12-24 18:44:17,712 - pyskl - INFO - Saving checkpoint at 61 epochs +2023-12-24 18:45:34,962 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 18:45:35,039 - pyskl - INFO - +top1_acc 0.8802 +top5_acc 0.9904 +2023-12-24 18:45:35,039 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 18:45:35,050 - pyskl - INFO - +mean_acc 0.8280 +2023-12-24 18:45:35,060 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_57.pth was removed +2023-12-24 18:45:35,312 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_61.pth. +2023-12-24 18:45:35,313 - pyskl - INFO - Best top1_acc is 0.8802 at 61 epoch. +2023-12-24 18:45:35,318 - pyskl - INFO - Epoch(val) [61][533] top1_acc: 0.8802, top5_acc: 0.9904, mean_class_accuracy: 0.8280 +2023-12-24 18:46:25,123 - pyskl - INFO - Epoch [62][100/1281] lr: 1.609e-02, eta: 12:55:33, time: 0.498, data_time: 0.228, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9994, loss_cls: 0.7717, loss: 0.7717 +2023-12-24 18:47:06,249 - pyskl - INFO - Epoch [62][200/1281] lr: 1.607e-02, eta: 12:54:53, time: 0.411, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9969, loss_cls: 0.8689, loss: 0.8689 +2023-12-24 18:47:36,622 - pyskl - INFO - Epoch [62][300/1281] lr: 1.605e-02, eta: 12:53:57, time: 0.304, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9994, loss_cls: 0.8034, loss: 0.8034 +2023-12-24 18:48:09,422 - pyskl - INFO - Epoch [62][400/1281] lr: 1.603e-02, eta: 12:53:04, time: 0.328, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 0.7767, loss: 0.7767 +2023-12-24 18:48:51,589 - pyskl - INFO - Epoch [62][500/1281] lr: 1.602e-02, eta: 12:52:26, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 0.8139, loss: 0.8139 +2023-12-24 18:49:34,485 - pyskl - INFO - Epoch [62][600/1281] lr: 1.600e-02, eta: 12:51:48, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.8988, top5_acc: 0.9981, loss_cls: 0.8349, loss: 0.8349 +2023-12-24 18:50:16,853 - pyskl - INFO - Epoch [62][700/1281] lr: 1.598e-02, eta: 12:51:09, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9975, loss_cls: 0.8024, loss: 0.8024 +2023-12-24 18:50:59,198 - pyskl - INFO - Epoch [62][800/1281] lr: 1.596e-02, eta: 12:50:30, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.9031, top5_acc: 0.9975, loss_cls: 0.8367, loss: 0.8367 +2023-12-24 18:51:41,665 - pyskl - INFO - Epoch [62][900/1281] lr: 1.594e-02, eta: 12:49:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9975, loss_cls: 0.7941, loss: 0.7941 +2023-12-24 18:52:24,422 - pyskl - INFO - Epoch [62][1000/1281] lr: 1.592e-02, eta: 12:49:14, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.8994, top5_acc: 0.9988, loss_cls: 0.8387, loss: 0.8387 +2023-12-24 18:53:07,053 - pyskl - INFO - Epoch [62][1100/1281] lr: 1.590e-02, eta: 12:48:36, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9975, loss_cls: 0.8244, loss: 0.8244 +2023-12-24 18:53:49,318 - pyskl - INFO - Epoch [62][1200/1281] lr: 1.588e-02, eta: 12:47:57, time: 0.423, data_time: 0.001, memory: 4120, top1_acc: 0.8800, top5_acc: 0.9938, loss_cls: 0.9083, loss: 0.9083 +2023-12-24 18:54:24,543 - pyskl - INFO - Saving checkpoint at 62 epochs +2023-12-24 18:55:41,656 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 18:55:41,729 - pyskl - INFO - +top1_acc 0.8754 +top5_acc 0.9932 +2023-12-24 18:55:41,729 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 18:55:41,739 - pyskl - INFO - +mean_acc 0.8273 +2023-12-24 18:55:41,743 - pyskl - INFO - Epoch(val) [62][533] top1_acc: 0.8754, top5_acc: 0.9932, mean_class_accuracy: 0.8273 +2023-12-24 18:56:29,906 - pyskl - INFO - Epoch [63][100/1281] lr: 1.584e-02, eta: 12:46:06, time: 0.482, data_time: 0.191, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9969, loss_cls: 0.7962, loss: 0.7962 +2023-12-24 18:57:09,089 - pyskl - INFO - Epoch [63][200/1281] lr: 1.582e-02, eta: 12:45:23, time: 0.392, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 0.7750, loss: 0.7750 +2023-12-24 18:57:42,047 - pyskl - INFO - Epoch [63][300/1281] lr: 1.580e-02, eta: 12:44:31, time: 0.330, data_time: 0.001, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 0.7731, loss: 0.7731 +2023-12-24 18:58:14,924 - pyskl - INFO - Epoch [63][400/1281] lr: 1.578e-02, eta: 12:43:39, time: 0.329, data_time: 0.001, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9962, loss_cls: 0.7745, loss: 0.7745 +2023-12-24 18:58:58,377 - pyskl - INFO - Epoch [63][500/1281] lr: 1.576e-02, eta: 12:43:02, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9962, loss_cls: 0.7892, loss: 0.7892 +2023-12-24 18:59:40,062 - pyskl - INFO - Epoch [63][600/1281] lr: 1.574e-02, eta: 12:42:23, time: 0.417, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9956, loss_cls: 0.8261, loss: 0.8261 +2023-12-24 19:00:22,597 - pyskl - INFO - Epoch [63][700/1281] lr: 1.572e-02, eta: 12:41:44, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9975, loss_cls: 0.8155, loss: 0.8155 +2023-12-24 19:01:05,869 - pyskl - INFO - Epoch [63][800/1281] lr: 1.570e-02, eta: 12:41:07, time: 0.433, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9956, loss_cls: 0.8356, loss: 0.8356 +2023-12-24 19:01:48,577 - pyskl - INFO - Epoch [63][900/1281] lr: 1.568e-02, eta: 12:40:29, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9950, loss_cls: 0.8056, loss: 0.8056 +2023-12-24 19:02:30,651 - pyskl - INFO - Epoch [63][1000/1281] lr: 1.566e-02, eta: 12:39:50, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9962, loss_cls: 0.7735, loss: 0.7735 +2023-12-24 19:03:13,530 - pyskl - INFO - Epoch [63][1100/1281] lr: 1.564e-02, eta: 12:39:12, time: 0.429, data_time: 0.001, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9969, loss_cls: 0.7905, loss: 0.7905 +2023-12-24 19:03:55,515 - pyskl - INFO - Epoch [63][1200/1281] lr: 1.562e-02, eta: 12:38:33, time: 0.420, data_time: 0.001, memory: 4120, top1_acc: 0.8912, top5_acc: 0.9962, loss_cls: 0.8686, loss: 0.8686 +2023-12-24 19:04:31,000 - pyskl - INFO - Saving checkpoint at 63 epochs +2023-12-24 19:05:47,953 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:05:48,014 - pyskl - INFO - +top1_acc 0.8386 +top5_acc 0.9881 +2023-12-24 19:05:48,014 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:05:48,022 - pyskl - INFO - +mean_acc 0.8011 +2023-12-24 19:05:48,024 - pyskl - INFO - Epoch(val) [63][533] top1_acc: 0.8386, top5_acc: 0.9881, mean_class_accuracy: 0.8011 +2023-12-24 19:06:37,254 - pyskl - INFO - Epoch [64][100/1281] lr: 1.559e-02, eta: 12:36:45, time: 0.492, data_time: 0.230, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9969, loss_cls: 0.8380, loss: 0.8380 +2023-12-24 19:07:18,713 - pyskl - INFO - Epoch [64][200/1281] lr: 1.557e-02, eta: 12:36:05, time: 0.415, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 0.8146, loss: 0.8146 +2023-12-24 19:07:48,598 - pyskl - INFO - Epoch [64][300/1281] lr: 1.555e-02, eta: 12:35:09, time: 0.299, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 0.7988, loss: 0.7988 +2023-12-24 19:08:21,808 - pyskl - INFO - Epoch [64][400/1281] lr: 1.553e-02, eta: 12:34:18, time: 0.332, data_time: 0.001, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9981, loss_cls: 0.8012, loss: 0.8012 +2023-12-24 19:09:04,759 - pyskl - INFO - Epoch [64][500/1281] lr: 1.551e-02, eta: 12:33:40, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9981, loss_cls: 0.8313, loss: 0.8313 +2023-12-24 19:09:47,099 - pyskl - INFO - Epoch [64][600/1281] lr: 1.549e-02, eta: 12:33:02, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9988, loss_cls: 0.8010, loss: 0.8010 +2023-12-24 19:10:29,292 - pyskl - INFO - Epoch [64][700/1281] lr: 1.547e-02, eta: 12:32:23, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 0.7782, loss: 0.7782 +2023-12-24 19:11:11,393 - pyskl - INFO - Epoch [64][800/1281] lr: 1.545e-02, eta: 12:31:44, time: 0.421, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9962, loss_cls: 0.8069, loss: 0.8069 +2023-12-24 19:11:53,802 - pyskl - INFO - Epoch [64][900/1281] lr: 1.543e-02, eta: 12:31:06, time: 0.424, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 0.8046, loss: 0.8046 +2023-12-24 19:12:36,373 - pyskl - INFO - Epoch [64][1000/1281] lr: 1.541e-02, eta: 12:30:27, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9975, loss_cls: 0.8242, loss: 0.8242 +2023-12-24 19:13:19,421 - pyskl - INFO - Epoch [64][1100/1281] lr: 1.539e-02, eta: 12:29:50, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.8962, top5_acc: 0.9994, loss_cls: 0.8571, loss: 0.8571 +2023-12-24 19:14:02,224 - pyskl - INFO - Epoch [64][1200/1281] lr: 1.537e-02, eta: 12:29:11, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9975, loss_cls: 0.7919, loss: 0.7919 +2023-12-24 19:14:38,618 - pyskl - INFO - Saving checkpoint at 64 epochs +2023-12-24 19:15:55,734 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:15:55,791 - pyskl - INFO - +top1_acc 0.8706 +top5_acc 0.9870 +2023-12-24 19:15:55,792 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:15:55,800 - pyskl - INFO - +mean_acc 0.8402 +2023-12-24 19:15:55,803 - pyskl - INFO - Epoch(val) [64][533] top1_acc: 0.8706, top5_acc: 0.9870, mean_class_accuracy: 0.8402 +2023-12-24 19:16:43,215 - pyskl - INFO - Epoch [65][100/1281] lr: 1.533e-02, eta: 12:27:22, time: 0.474, data_time: 0.194, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9975, loss_cls: 0.8202, loss: 0.8202 +2023-12-24 19:17:24,155 - pyskl - INFO - Epoch [65][200/1281] lr: 1.531e-02, eta: 12:26:42, time: 0.409, data_time: 0.001, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 0.7608, loss: 0.7608 +2023-12-24 19:17:55,451 - pyskl - INFO - Epoch [65][300/1281] lr: 1.529e-02, eta: 12:25:48, time: 0.313, data_time: 0.001, memory: 4120, top1_acc: 0.9150, top5_acc: 0.9988, loss_cls: 0.7815, loss: 0.7815 +2023-12-24 19:18:30,162 - pyskl - INFO - Epoch [65][400/1281] lr: 1.527e-02, eta: 12:25:00, time: 0.347, data_time: 0.001, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9969, loss_cls: 0.7891, loss: 0.7891 +2023-12-24 19:19:14,402 - pyskl - INFO - Epoch [65][500/1281] lr: 1.526e-02, eta: 12:24:24, time: 0.442, data_time: 0.001, memory: 4120, top1_acc: 0.9019, top5_acc: 0.9938, loss_cls: 0.8349, loss: 0.8349 +2023-12-24 19:19:57,356 - pyskl - INFO - Epoch [65][600/1281] lr: 1.524e-02, eta: 12:23:46, time: 0.430, data_time: 0.001, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 0.7554, loss: 0.7554 +2023-12-24 19:20:39,371 - pyskl - INFO - Epoch [65][700/1281] lr: 1.522e-02, eta: 12:23:07, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9975, loss_cls: 0.7688, loss: 0.7688 +2023-12-24 19:21:22,878 - pyskl - INFO - Epoch [65][800/1281] lr: 1.520e-02, eta: 12:22:30, time: 0.435, data_time: 0.001, memory: 4120, top1_acc: 0.8931, top5_acc: 0.9950, loss_cls: 0.8765, loss: 0.8765 +2023-12-24 19:22:05,648 - pyskl - INFO - Epoch [65][900/1281] lr: 1.518e-02, eta: 12:21:52, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9975, loss_cls: 0.8108, loss: 0.8108 +2023-12-24 19:22:48,428 - pyskl - INFO - Epoch [65][1000/1281] lr: 1.516e-02, eta: 12:21:14, time: 0.428, data_time: 0.001, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9994, loss_cls: 0.7928, loss: 0.7928 +2023-12-24 19:23:30,621 - pyskl - INFO - Epoch [65][1100/1281] lr: 1.514e-02, eta: 12:20:35, time: 0.422, data_time: 0.001, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9975, loss_cls: 0.8131, loss: 0.8131 +2023-12-24 19:24:12,513 - pyskl - INFO - Epoch [65][1200/1281] lr: 1.512e-02, eta: 12:19:56, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9000, top5_acc: 0.9975, loss_cls: 0.8320, loss: 0.8320 +2023-12-24 19:24:47,341 - pyskl - INFO - Saving checkpoint at 65 epochs +2023-12-24 19:26:05,163 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:26:05,246 - pyskl - INFO - +top1_acc 0.8731 +top5_acc 0.9924 +2023-12-24 19:26:05,246 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:26:05,257 - pyskl - INFO - +mean_acc 0.8425 +2023-12-24 19:26:05,261 - pyskl - INFO - Epoch(val) [65][533] top1_acc: 0.8731, top5_acc: 0.9924, mean_class_accuracy: 0.8425 +2023-12-24 19:26:52,142 - pyskl - INFO - Epoch [66][100/1281] lr: 1.508e-02, eta: 12:18:07, time: 0.469, data_time: 0.205, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9981, loss_cls: 0.7926, loss: 0.7926 +2023-12-24 19:27:34,802 - pyskl - INFO - Epoch [66][200/1281] lr: 1.506e-02, eta: 12:17:29, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 0.7482, loss: 0.7482 +2023-12-24 19:28:03,728 - pyskl - INFO - Epoch [66][300/1281] lr: 1.504e-02, eta: 12:16:33, time: 0.289, data_time: 0.001, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9962, loss_cls: 0.8060, loss: 0.8060 +2023-12-24 19:28:35,083 - pyskl - INFO - Epoch [66][400/1281] lr: 1.502e-02, eta: 12:15:40, time: 0.314, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9962, loss_cls: 0.8165, loss: 0.8165 +2023-12-24 19:29:17,464 - pyskl - INFO - Epoch [66][500/1281] lr: 1.500e-02, eta: 12:15:01, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.8975, top5_acc: 0.9962, loss_cls: 0.8416, loss: 0.8416 +2023-12-24 19:29:59,907 - pyskl - INFO - Epoch [66][600/1281] lr: 1.498e-02, eta: 12:14:23, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9231, top5_acc: 0.9994, loss_cls: 0.7789, loss: 0.7789 +2023-12-24 19:30:42,559 - pyskl - INFO - Epoch [66][700/1281] lr: 1.496e-02, eta: 12:13:45, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9994, loss_cls: 0.7599, loss: 0.7599 +2023-12-24 19:31:26,342 - pyskl - INFO - Epoch [66][800/1281] lr: 1.494e-02, eta: 12:13:08, time: 0.438, data_time: 0.001, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9994, loss_cls: 0.7779, loss: 0.7779 +2023-12-24 19:32:09,000 - pyskl - INFO - Epoch [66][900/1281] lr: 1.492e-02, eta: 12:12:30, time: 0.427, data_time: 0.001, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 0.8347, loss: 0.8347 +2023-12-24 19:32:51,089 - pyskl - INFO - Epoch [66][1000/1281] lr: 1.490e-02, eta: 12:11:51, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9975, loss_cls: 0.8260, loss: 0.8260 +2023-12-24 19:33:33,381 - pyskl - INFO - Epoch [66][1100/1281] lr: 1.488e-02, eta: 12:11:12, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 0.8372, loss: 0.8372 +2023-12-24 19:34:15,924 - pyskl - INFO - Epoch [66][1200/1281] lr: 1.486e-02, eta: 12:10:34, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9969, loss_cls: 0.8118, loss: 0.8118 +2023-12-24 19:34:51,032 - pyskl - INFO - Saving checkpoint at 66 epochs +2023-12-24 19:36:03,861 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:36:03,927 - pyskl - INFO - +top1_acc 0.8865 +top5_acc 0.9912 +2023-12-24 19:36:03,927 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:36:03,939 - pyskl - INFO - +mean_acc 0.8301 +2023-12-24 19:36:03,947 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_61.pth was removed +2023-12-24 19:36:04,325 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. +2023-12-24 19:36:04,325 - pyskl - INFO - Best top1_acc is 0.8865 at 66 epoch. +2023-12-24 19:36:04,328 - pyskl - INFO - Epoch(val) [66][533] top1_acc: 0.8865, top5_acc: 0.9912, mean_class_accuracy: 0.8301 +2023-12-24 19:36:55,052 - pyskl - INFO - Epoch [67][100/1281] lr: 1.482e-02, eta: 12:08:51, time: 0.507, data_time: 0.181, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 0.7673, loss: 0.7673 +2023-12-24 19:37:28,293 - pyskl - INFO - Epoch [67][200/1281] lr: 1.480e-02, eta: 12:08:01, time: 0.332, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9994, loss_cls: 0.7368, loss: 0.7368 +2023-12-24 19:38:05,977 - pyskl - INFO - Epoch [67][300/1281] lr: 1.478e-02, eta: 12:07:16, time: 0.377, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9981, loss_cls: 0.7811, loss: 0.7811 +2023-12-24 19:38:32,119 - pyskl - INFO - Epoch [67][400/1281] lr: 1.476e-02, eta: 12:06:17, time: 0.261, data_time: 0.000, memory: 4120, top1_acc: 0.9087, top5_acc: 0.9988, loss_cls: 0.8224, loss: 0.8224 +2023-12-24 19:39:13,783 - pyskl - INFO - Epoch [67][500/1281] lr: 1.474e-02, eta: 12:05:38, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.8162, loss: 0.8162 +2023-12-24 19:39:55,687 - pyskl - INFO - Epoch [67][600/1281] lr: 1.472e-02, eta: 12:04:59, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 0.7929, loss: 0.7929 +2023-12-24 19:40:37,589 - pyskl - INFO - Epoch [67][700/1281] lr: 1.470e-02, eta: 12:04:20, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.7682, loss: 0.7682 +2023-12-24 19:41:19,201 - pyskl - INFO - Epoch [67][800/1281] lr: 1.468e-02, eta: 12:03:40, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 0.8270, loss: 0.8270 +2023-12-24 19:42:01,448 - pyskl - INFO - Epoch [67][900/1281] lr: 1.466e-02, eta: 12:03:02, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9988, loss_cls: 0.7774, loss: 0.7774 +2023-12-24 19:42:44,131 - pyskl - INFO - Epoch [67][1000/1281] lr: 1.464e-02, eta: 12:02:24, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9981, loss_cls: 0.7859, loss: 0.7859 +2023-12-24 19:43:26,565 - pyskl - INFO - Epoch [67][1100/1281] lr: 1.462e-02, eta: 12:01:45, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.7886, loss: 0.7886 +2023-12-24 19:44:08,559 - pyskl - INFO - Epoch [67][1200/1281] lr: 1.460e-02, eta: 12:01:06, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9962, loss_cls: 0.8164, loss: 0.8164 +2023-12-24 19:44:42,965 - pyskl - INFO - Saving checkpoint at 67 epochs +2023-12-24 19:45:53,643 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:45:53,713 - pyskl - INFO - +top1_acc 0.8717 +top5_acc 0.9919 +2023-12-24 19:45:53,713 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:45:53,722 - pyskl - INFO - +mean_acc 0.7997 +2023-12-24 19:45:53,725 - pyskl - INFO - Epoch(val) [67][533] top1_acc: 0.8717, top5_acc: 0.9919, mean_class_accuracy: 0.7997 +2023-12-24 19:46:53,541 - pyskl - INFO - Epoch [68][100/1281] lr: 1.456e-02, eta: 11:59:35, time: 0.598, data_time: 0.190, memory: 4120, top1_acc: 0.9125, top5_acc: 0.9962, loss_cls: 0.8125, loss: 0.8125 +2023-12-24 19:47:18,415 - pyskl - INFO - Epoch [68][200/1281] lr: 1.454e-02, eta: 11:58:35, time: 0.249, data_time: 0.000, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9969, loss_cls: 0.7942, loss: 0.7942 +2023-12-24 19:48:02,376 - pyskl - INFO - Epoch [68][300/1281] lr: 1.452e-02, eta: 11:57:59, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9975, loss_cls: 0.7662, loss: 0.7662 +2023-12-24 19:48:25,438 - pyskl - INFO - Epoch [68][400/1281] lr: 1.450e-02, eta: 11:56:57, time: 0.231, data_time: 0.000, memory: 4120, top1_acc: 0.9069, top5_acc: 0.9969, loss_cls: 0.8222, loss: 0.8222 +2023-12-24 19:49:07,305 - pyskl - INFO - Epoch [68][500/1281] lr: 1.448e-02, eta: 11:56:18, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9988, loss_cls: 0.7708, loss: 0.7708 +2023-12-24 19:49:49,422 - pyskl - INFO - Epoch [68][600/1281] lr: 1.446e-02, eta: 11:55:39, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 0.7754, loss: 0.7754 +2023-12-24 19:50:31,529 - pyskl - INFO - Epoch [68][700/1281] lr: 1.444e-02, eta: 11:55:00, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9062, top5_acc: 1.0000, loss_cls: 0.8170, loss: 0.8170 +2023-12-24 19:51:13,611 - pyskl - INFO - Epoch [68][800/1281] lr: 1.442e-02, eta: 11:54:21, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9994, loss_cls: 0.8045, loss: 0.8045 +2023-12-24 19:51:55,277 - pyskl - INFO - Epoch [68][900/1281] lr: 1.440e-02, eta: 11:53:42, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 0.8134, loss: 0.8134 +2023-12-24 19:52:37,218 - pyskl - INFO - Epoch [68][1000/1281] lr: 1.438e-02, eta: 11:53:03, time: 0.419, data_time: 0.001, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9988, loss_cls: 0.7852, loss: 0.7852 +2023-12-24 19:53:19,194 - pyskl - INFO - Epoch [68][1100/1281] lr: 1.436e-02, eta: 11:52:24, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.8944, top5_acc: 0.9975, loss_cls: 0.8472, loss: 0.8472 +2023-12-24 19:54:01,484 - pyskl - INFO - Epoch [68][1200/1281] lr: 1.434e-02, eta: 11:51:45, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 0.8031, loss: 0.8031 +2023-12-24 19:54:36,157 - pyskl - INFO - Saving checkpoint at 68 epochs +2023-12-24 19:55:48,895 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:55:48,950 - pyskl - INFO - +top1_acc 0.8802 +top5_acc 0.9910 +2023-12-24 19:55:48,950 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:55:48,956 - pyskl - INFO - +mean_acc 0.8361 +2023-12-24 19:55:48,958 - pyskl - INFO - Epoch(val) [68][533] top1_acc: 0.8802, top5_acc: 0.9910, mean_class_accuracy: 0.8361 +2023-12-24 19:56:50,446 - pyskl - INFO - Epoch [69][100/1281] lr: 1.431e-02, eta: 11:50:17, time: 0.615, data_time: 0.186, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9994, loss_cls: 0.7665, loss: 0.7665 +2023-12-24 19:57:14,323 - pyskl - INFO - Epoch [69][200/1281] lr: 1.429e-02, eta: 11:49:16, time: 0.239, data_time: 0.001, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 0.7176, loss: 0.7176 +2023-12-24 19:57:58,236 - pyskl - INFO - Epoch [69][300/1281] lr: 1.427e-02, eta: 11:48:40, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9994, loss_cls: 0.7558, loss: 0.7558 +2023-12-24 19:58:23,733 - pyskl - INFO - Epoch [69][400/1281] lr: 1.425e-02, eta: 11:47:41, time: 0.255, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 0.7354, loss: 0.7354 +2023-12-24 19:59:02,029 - pyskl - INFO - Epoch [69][500/1281] lr: 1.423e-02, eta: 11:46:58, time: 0.383, data_time: 0.000, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 0.8001, loss: 0.8001 +2023-12-24 19:59:44,108 - pyskl - INFO - Epoch [69][600/1281] lr: 1.420e-02, eta: 11:46:19, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9981, loss_cls: 0.7680, loss: 0.7680 +2023-12-24 20:00:26,406 - pyskl - INFO - Epoch [69][700/1281] lr: 1.418e-02, eta: 11:45:41, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 0.7577, loss: 0.7577 +2023-12-24 20:01:08,475 - pyskl - INFO - Epoch [69][800/1281] lr: 1.416e-02, eta: 11:45:02, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9944, loss_cls: 0.8060, loss: 0.8060 +2023-12-24 20:01:50,600 - pyskl - INFO - Epoch [69][900/1281] lr: 1.414e-02, eta: 11:44:23, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9100, top5_acc: 0.9988, loss_cls: 0.8031, loss: 0.8031 +2023-12-24 20:02:32,296 - pyskl - INFO - Epoch [69][1000/1281] lr: 1.412e-02, eta: 11:43:44, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9981, loss_cls: 0.7785, loss: 0.7785 +2023-12-24 20:03:14,297 - pyskl - INFO - Epoch [69][1100/1281] lr: 1.410e-02, eta: 11:43:05, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9988, loss_cls: 0.7885, loss: 0.7885 +2023-12-24 20:03:56,758 - pyskl - INFO - Epoch [69][1200/1281] lr: 1.408e-02, eta: 11:42:26, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9213, top5_acc: 1.0000, loss_cls: 0.7585, loss: 0.7585 +2023-12-24 20:04:31,690 - pyskl - INFO - Saving checkpoint at 69 epochs +2023-12-24 20:05:44,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:05:44,599 - pyskl - INFO - +top1_acc 0.8784 +top5_acc 0.9937 +2023-12-24 20:05:44,600 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:05:44,607 - pyskl - INFO - +mean_acc 0.8430 +2023-12-24 20:05:44,609 - pyskl - INFO - Epoch(val) [69][533] top1_acc: 0.8784, top5_acc: 0.9937, mean_class_accuracy: 0.8430 +2023-12-24 20:06:44,400 - pyskl - INFO - Epoch [70][100/1281] lr: 1.405e-02, eta: 11:40:57, time: 0.598, data_time: 0.172, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9994, loss_cls: 0.7745, loss: 0.7745 +2023-12-24 20:07:12,046 - pyskl - INFO - Epoch [70][200/1281] lr: 1.403e-02, eta: 11:40:01, time: 0.276, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 0.7536, loss: 0.7536 +2023-12-24 20:07:50,387 - pyskl - INFO - Epoch [70][300/1281] lr: 1.401e-02, eta: 11:39:18, time: 0.383, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9994, loss_cls: 0.7683, loss: 0.7683 +2023-12-24 20:08:23,025 - pyskl - INFO - Epoch [70][400/1281] lr: 1.399e-02, eta: 11:38:28, time: 0.326, data_time: 0.000, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9994, loss_cls: 0.7691, loss: 0.7691 +2023-12-24 20:08:53,642 - pyskl - INFO - Epoch [70][500/1281] lr: 1.397e-02, eta: 11:37:36, time: 0.306, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 0.7572, loss: 0.7572 +2023-12-24 20:09:35,302 - pyskl - INFO - Epoch [70][600/1281] lr: 1.395e-02, eta: 11:36:57, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9969, loss_cls: 0.7908, loss: 0.7908 +2023-12-24 20:10:17,113 - pyskl - INFO - Epoch [70][700/1281] lr: 1.392e-02, eta: 11:36:18, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9981, loss_cls: 0.8063, loss: 0.8063 +2023-12-24 20:10:59,138 - pyskl - INFO - Epoch [70][800/1281] lr: 1.390e-02, eta: 11:35:39, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9988, loss_cls: 0.7930, loss: 0.7930 +2023-12-24 20:11:41,216 - pyskl - INFO - Epoch [70][900/1281] lr: 1.388e-02, eta: 11:35:00, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9969, loss_cls: 0.7830, loss: 0.7830 +2023-12-24 20:12:22,871 - pyskl - INFO - Epoch [70][1000/1281] lr: 1.386e-02, eta: 11:34:21, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9213, top5_acc: 0.9994, loss_cls: 0.7635, loss: 0.7635 +2023-12-24 20:13:04,819 - pyskl - INFO - Epoch [70][1100/1281] lr: 1.384e-02, eta: 11:33:42, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9075, top5_acc: 0.9975, loss_cls: 0.8144, loss: 0.8144 +2023-12-24 20:13:47,665 - pyskl - INFO - Epoch [70][1200/1281] lr: 1.382e-02, eta: 11:33:04, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.7942, loss: 0.7942 +2023-12-24 20:14:22,741 - pyskl - INFO - Saving checkpoint at 70 epochs +2023-12-24 20:15:36,064 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:15:36,119 - pyskl - INFO - +top1_acc 0.8684 +top5_acc 0.9908 +2023-12-24 20:15:36,119 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:15:36,125 - pyskl - INFO - +mean_acc 0.8187 +2023-12-24 20:15:36,127 - pyskl - INFO - Epoch(val) [70][533] top1_acc: 0.8684, top5_acc: 0.9908, mean_class_accuracy: 0.8187 +2023-12-24 20:16:35,413 - pyskl - INFO - Epoch [71][100/1281] lr: 1.379e-02, eta: 11:31:35, time: 0.593, data_time: 0.174, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 0.7496, loss: 0.7496 +2023-12-24 20:17:09,486 - pyskl - INFO - Epoch [71][200/1281] lr: 1.377e-02, eta: 11:30:47, time: 0.341, data_time: 0.000, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9988, loss_cls: 0.7497, loss: 0.7497 +2023-12-24 20:17:40,913 - pyskl - INFO - Epoch [71][300/1281] lr: 1.375e-02, eta: 11:29:56, time: 0.314, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 0.7218, loss: 0.7218 +2023-12-24 20:18:20,576 - pyskl - INFO - Epoch [71][400/1281] lr: 1.373e-02, eta: 11:29:15, time: 0.397, data_time: 0.000, memory: 4120, top1_acc: 0.9444, top5_acc: 1.0000, loss_cls: 0.7091, loss: 0.7091 +2023-12-24 20:18:45,409 - pyskl - INFO - Epoch [71][500/1281] lr: 1.371e-02, eta: 11:28:16, time: 0.248, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 0.7138, loss: 0.7138 +2023-12-24 20:19:27,743 - pyskl - INFO - Epoch [71][600/1281] lr: 1.368e-02, eta: 11:27:38, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 0.7385, loss: 0.7385 +2023-12-24 20:20:09,770 - pyskl - INFO - Epoch [71][700/1281] lr: 1.366e-02, eta: 11:26:59, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9981, loss_cls: 0.7929, loss: 0.7929 +2023-12-24 20:20:52,246 - pyskl - INFO - Epoch [71][800/1281] lr: 1.364e-02, eta: 11:26:21, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9962, loss_cls: 0.7877, loss: 0.7877 +2023-12-24 20:21:34,063 - pyskl - INFO - Epoch [71][900/1281] lr: 1.362e-02, eta: 11:25:42, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9981, loss_cls: 0.7585, loss: 0.7585 +2023-12-24 20:22:15,986 - pyskl - INFO - Epoch [71][1000/1281] lr: 1.360e-02, eta: 11:25:03, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9106, top5_acc: 0.9969, loss_cls: 0.8011, loss: 0.8011 +2023-12-24 20:22:57,612 - pyskl - INFO - Epoch [71][1100/1281] lr: 1.358e-02, eta: 11:24:24, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9981, loss_cls: 0.7899, loss: 0.7899 +2023-12-24 20:23:40,448 - pyskl - INFO - Epoch [71][1200/1281] lr: 1.356e-02, eta: 11:23:46, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9050, top5_acc: 0.9950, loss_cls: 0.8344, loss: 0.8344 +2023-12-24 20:24:15,532 - pyskl - INFO - Saving checkpoint at 71 epochs +2023-12-24 20:25:27,686 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:25:27,749 - pyskl - INFO - +top1_acc 0.8784 +top5_acc 0.9907 +2023-12-24 20:25:27,749 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:25:27,759 - pyskl - INFO - +mean_acc 0.8340 +2023-12-24 20:25:27,762 - pyskl - INFO - Epoch(val) [71][533] top1_acc: 0.8784, top5_acc: 0.9907, mean_class_accuracy: 0.8340 +2023-12-24 20:26:26,710 - pyskl - INFO - Epoch [72][100/1281] lr: 1.353e-02, eta: 11:22:16, time: 0.589, data_time: 0.172, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9988, loss_cls: 0.7801, loss: 0.7801 +2023-12-24 20:27:08,488 - pyskl - INFO - Epoch [72][200/1281] lr: 1.351e-02, eta: 11:21:37, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9962, loss_cls: 0.7675, loss: 0.7675 +2023-12-24 20:27:32,085 - pyskl - INFO - Epoch [72][300/1281] lr: 1.349e-02, eta: 11:20:38, time: 0.236, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9994, loss_cls: 0.7231, loss: 0.7231 +2023-12-24 20:28:15,932 - pyskl - INFO - Epoch [72][400/1281] lr: 1.346e-02, eta: 11:20:01, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9969, loss_cls: 0.7877, loss: 0.7877 +2023-12-24 20:28:40,407 - pyskl - INFO - Epoch [72][500/1281] lr: 1.344e-02, eta: 11:19:03, time: 0.245, data_time: 0.000, memory: 4120, top1_acc: 0.9194, top5_acc: 0.9975, loss_cls: 0.7739, loss: 0.7739 +2023-12-24 20:29:19,173 - pyskl - INFO - Epoch [72][600/1281] lr: 1.342e-02, eta: 11:18:21, time: 0.388, data_time: 0.000, memory: 4120, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 0.7005, loss: 0.7005 +2023-12-24 20:30:01,091 - pyskl - INFO - Epoch [72][700/1281] lr: 1.340e-02, eta: 11:17:42, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 0.7418, loss: 0.7418 +2023-12-24 20:30:43,281 - pyskl - INFO - Epoch [72][800/1281] lr: 1.338e-02, eta: 11:17:04, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 0.7421, loss: 0.7421 +2023-12-24 20:31:25,528 - pyskl - INFO - Epoch [72][900/1281] lr: 1.336e-02, eta: 11:16:25, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 0.7207, loss: 0.7207 +2023-12-24 20:32:07,441 - pyskl - INFO - Epoch [72][1000/1281] lr: 1.334e-02, eta: 11:15:46, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9969, loss_cls: 0.7979, loss: 0.7979 +2023-12-24 20:32:49,128 - pyskl - INFO - Epoch [72][1100/1281] lr: 1.332e-02, eta: 11:15:07, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9175, top5_acc: 0.9969, loss_cls: 0.7892, loss: 0.7892 +2023-12-24 20:33:31,308 - pyskl - INFO - Epoch [72][1200/1281] lr: 1.330e-02, eta: 11:14:28, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 1.0000, loss_cls: 0.7042, loss: 0.7042 +2023-12-24 20:34:06,162 - pyskl - INFO - Saving checkpoint at 72 epochs +2023-12-24 20:35:18,738 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:35:18,798 - pyskl - INFO - +top1_acc 0.8690 +top5_acc 0.9920 +2023-12-24 20:35:18,798 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:35:18,805 - pyskl - INFO - +mean_acc 0.8228 +2023-12-24 20:35:18,807 - pyskl - INFO - Epoch(val) [72][533] top1_acc: 0.8690, top5_acc: 0.9920, mean_class_accuracy: 0.8228 +2023-12-24 20:36:17,260 - pyskl - INFO - Epoch [73][100/1281] lr: 1.326e-02, eta: 11:12:59, time: 0.584, data_time: 0.169, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9994, loss_cls: 0.7165, loss: 0.7165 +2023-12-24 20:36:59,319 - pyskl - INFO - Epoch [73][200/1281] lr: 1.324e-02, eta: 11:12:21, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9981, loss_cls: 0.7033, loss: 0.7033 +2023-12-24 20:37:26,265 - pyskl - INFO - Epoch [73][300/1281] lr: 1.322e-02, eta: 11:11:26, time: 0.269, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9994, loss_cls: 0.7209, loss: 0.7209 +2023-12-24 20:38:04,583 - pyskl - INFO - Epoch [73][400/1281] lr: 1.320e-02, eta: 11:10:43, time: 0.383, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 1.0000, loss_cls: 0.7399, loss: 0.7399 +2023-12-24 20:38:37,253 - pyskl - INFO - Epoch [73][500/1281] lr: 1.318e-02, eta: 11:09:54, time: 0.327, data_time: 0.000, memory: 4120, top1_acc: 0.9062, top5_acc: 1.0000, loss_cls: 0.8105, loss: 0.8105 +2023-12-24 20:39:09,293 - pyskl - INFO - Epoch [73][600/1281] lr: 1.316e-02, eta: 11:09:05, time: 0.320, data_time: 0.000, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9962, loss_cls: 0.7819, loss: 0.7819 +2023-12-24 20:39:51,147 - pyskl - INFO - Epoch [73][700/1281] lr: 1.314e-02, eta: 11:08:26, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9038, top5_acc: 0.9975, loss_cls: 0.8352, loss: 0.8352 +2023-12-24 20:40:33,133 - pyskl - INFO - Epoch [73][800/1281] lr: 1.312e-02, eta: 11:07:47, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9156, top5_acc: 0.9969, loss_cls: 0.7842, loss: 0.7842 +2023-12-24 20:41:15,552 - pyskl - INFO - Epoch [73][900/1281] lr: 1.310e-02, eta: 11:07:09, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9200, top5_acc: 0.9975, loss_cls: 0.7622, loss: 0.7622 +2023-12-24 20:41:58,652 - pyskl - INFO - Epoch [73][1000/1281] lr: 1.308e-02, eta: 11:06:31, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 0.7665, loss: 0.7665 +2023-12-24 20:42:41,339 - pyskl - INFO - Epoch [73][1100/1281] lr: 1.306e-02, eta: 11:05:53, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9119, top5_acc: 0.9969, loss_cls: 0.7942, loss: 0.7942 +2023-12-24 20:43:23,845 - pyskl - INFO - Epoch [73][1200/1281] lr: 1.304e-02, eta: 11:05:15, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9969, loss_cls: 0.7751, loss: 0.7751 +2023-12-24 20:43:58,609 - pyskl - INFO - Saving checkpoint at 73 epochs +2023-12-24 20:45:11,436 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:45:11,492 - pyskl - INFO - +top1_acc 0.8817 +top5_acc 0.9916 +2023-12-24 20:45:11,492 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:45:11,499 - pyskl - INFO - +mean_acc 0.8557 +2023-12-24 20:45:11,501 - pyskl - INFO - Epoch(val) [73][533] top1_acc: 0.8817, top5_acc: 0.9916, mean_class_accuracy: 0.8557 +2023-12-24 20:46:11,848 - pyskl - INFO - Epoch [74][100/1281] lr: 1.300e-02, eta: 11:03:48, time: 0.603, data_time: 0.187, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 0.7131, loss: 0.7131 +2023-12-24 20:46:53,541 - pyskl - INFO - Epoch [74][200/1281] lr: 1.298e-02, eta: 11:03:09, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.7162, loss: 0.7162 +2023-12-24 20:47:24,605 - pyskl - INFO - Epoch [74][300/1281] lr: 1.296e-02, eta: 11:02:19, time: 0.311, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 0.7161, loss: 0.7161 +2023-12-24 20:47:58,951 - pyskl - INFO - Epoch [74][400/1281] lr: 1.294e-02, eta: 11:01:32, time: 0.343, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9975, loss_cls: 0.7557, loss: 0.7557 +2023-12-24 20:48:35,636 - pyskl - INFO - Epoch [74][500/1281] lr: 1.292e-02, eta: 11:00:48, time: 0.367, data_time: 0.000, memory: 4120, top1_acc: 0.9094, top5_acc: 0.9988, loss_cls: 0.8150, loss: 0.8150 +2023-12-24 20:49:02,995 - pyskl - INFO - Epoch [74][600/1281] lr: 1.290e-02, eta: 10:59:54, time: 0.274, data_time: 0.000, memory: 4120, top1_acc: 0.9287, top5_acc: 0.9994, loss_cls: 0.7359, loss: 0.7359 +2023-12-24 20:49:44,416 - pyskl - INFO - Epoch [74][700/1281] lr: 1.288e-02, eta: 10:59:14, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.7605, loss: 0.7605 +2023-12-24 20:50:25,978 - pyskl - INFO - Epoch [74][800/1281] lr: 1.286e-02, eta: 10:58:35, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9981, loss_cls: 0.7484, loss: 0.7484 +2023-12-24 20:51:08,022 - pyskl - INFO - Epoch [74][900/1281] lr: 1.284e-02, eta: 10:57:57, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 0.7431, loss: 0.7431 +2023-12-24 20:51:50,151 - pyskl - INFO - Epoch [74][1000/1281] lr: 1.282e-02, eta: 10:57:18, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9131, top5_acc: 0.9969, loss_cls: 0.7866, loss: 0.7866 +2023-12-24 20:52:32,915 - pyskl - INFO - Epoch [74][1100/1281] lr: 1.280e-02, eta: 10:56:40, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 0.7632, loss: 0.7632 +2023-12-24 20:53:15,566 - pyskl - INFO - Epoch [74][1200/1281] lr: 1.278e-02, eta: 10:56:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 0.8052, loss: 0.8052 +2023-12-24 20:53:50,398 - pyskl - INFO - Saving checkpoint at 74 epochs +2023-12-24 20:55:03,529 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:55:03,586 - pyskl - INFO - +top1_acc 0.8849 +top5_acc 0.9940 +2023-12-24 20:55:03,586 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:55:03,593 - pyskl - INFO - +mean_acc 0.8271 +2023-12-24 20:55:03,595 - pyskl - INFO - Epoch(val) [74][533] top1_acc: 0.8849, top5_acc: 0.9940, mean_class_accuracy: 0.8271 +2023-12-24 20:56:04,473 - pyskl - INFO - Epoch [75][100/1281] lr: 1.274e-02, eta: 10:54:36, time: 0.609, data_time: 0.186, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.7358, loss: 0.7358 +2023-12-24 20:56:46,956 - pyskl - INFO - Epoch [75][200/1281] lr: 1.272e-02, eta: 10:53:58, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9988, loss_cls: 0.7246, loss: 0.7246 +2023-12-24 20:57:25,205 - pyskl - INFO - Epoch [75][300/1281] lr: 1.270e-02, eta: 10:53:15, time: 0.382, data_time: 0.000, memory: 4120, top1_acc: 0.9225, top5_acc: 0.9981, loss_cls: 0.7489, loss: 0.7489 +2023-12-24 20:57:53,536 - pyskl - INFO - Epoch [75][400/1281] lr: 1.268e-02, eta: 10:52:23, time: 0.283, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 0.7390, loss: 0.7390 +2023-12-24 20:58:36,400 - pyskl - INFO - Epoch [75][500/1281] lr: 1.266e-02, eta: 10:51:45, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 0.7350, loss: 0.7350 +2023-12-24 20:58:57,183 - pyskl - INFO - Epoch [75][600/1281] lr: 1.264e-02, eta: 10:50:45, time: 0.208, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 0.7067, loss: 0.7067 +2023-12-24 20:59:39,004 - pyskl - INFO - Epoch [75][700/1281] lr: 1.262e-02, eta: 10:50:06, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 0.7315, loss: 0.7315 +2023-12-24 21:00:20,517 - pyskl - INFO - Epoch [75][800/1281] lr: 1.260e-02, eta: 10:49:27, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.6982, loss: 0.6982 +2023-12-24 21:01:02,233 - pyskl - INFO - Epoch [75][900/1281] lr: 1.258e-02, eta: 10:48:48, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9981, loss_cls: 0.7384, loss: 0.7384 +2023-12-24 21:01:43,842 - pyskl - INFO - Epoch [75][1000/1281] lr: 1.256e-02, eta: 10:48:09, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 0.7337, loss: 0.7337 +2023-12-24 21:02:25,974 - pyskl - INFO - Epoch [75][1100/1281] lr: 1.254e-02, eta: 10:47:30, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9169, top5_acc: 0.9969, loss_cls: 0.7912, loss: 0.7912 +2023-12-24 21:03:08,354 - pyskl - INFO - Epoch [75][1200/1281] lr: 1.252e-02, eta: 10:46:52, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9981, loss_cls: 0.7942, loss: 0.7942 +2023-12-24 21:03:42,991 - pyskl - INFO - Saving checkpoint at 75 epochs +2023-12-24 21:04:54,523 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:04:54,579 - pyskl - INFO - +top1_acc 0.8965 +top5_acc 0.9940 +2023-12-24 21:04:54,580 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:04:54,587 - pyskl - INFO - +mean_acc 0.8685 +2023-12-24 21:04:54,591 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_66.pth was removed +2023-12-24 21:04:54,791 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_75.pth. +2023-12-24 21:04:54,791 - pyskl - INFO - Best top1_acc is 0.8965 at 75 epoch. +2023-12-24 21:04:54,794 - pyskl - INFO - Epoch(val) [75][533] top1_acc: 0.8965, top5_acc: 0.9940, mean_class_accuracy: 0.8685 +2023-12-24 21:05:53,312 - pyskl - INFO - Epoch [76][100/1281] lr: 1.248e-02, eta: 10:45:24, time: 0.585, data_time: 0.170, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.6898, loss: 0.6898 +2023-12-24 21:06:34,880 - pyskl - INFO - Epoch [76][200/1281] lr: 1.246e-02, eta: 10:44:45, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.6939, loss: 0.6939 +2023-12-24 21:07:16,523 - pyskl - INFO - Epoch [76][300/1281] lr: 1.244e-02, eta: 10:44:06, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9988, loss_cls: 0.7385, loss: 0.7385 +2023-12-24 21:07:41,274 - pyskl - INFO - Epoch [76][400/1281] lr: 1.242e-02, eta: 10:43:10, time: 0.248, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 0.7158, loss: 0.7158 +2023-12-24 21:08:25,228 - pyskl - INFO - Epoch [76][500/1281] lr: 1.240e-02, eta: 10:42:33, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9981, loss_cls: 0.7558, loss: 0.7558 +2023-12-24 21:08:49,070 - pyskl - INFO - Epoch [76][600/1281] lr: 1.238e-02, eta: 10:41:37, time: 0.238, data_time: 0.000, memory: 4120, top1_acc: 0.9137, top5_acc: 0.9962, loss_cls: 0.7801, loss: 0.7801 +2023-12-24 21:09:29,983 - pyskl - INFO - Epoch [76][700/1281] lr: 1.236e-02, eta: 10:40:57, time: 0.409, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 0.9988, loss_cls: 0.7472, loss: 0.7472 +2023-12-24 21:10:11,578 - pyskl - INFO - Epoch [76][800/1281] lr: 1.234e-02, eta: 10:40:18, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9975, loss_cls: 0.7473, loss: 0.7473 +2023-12-24 21:10:53,063 - pyskl - INFO - Epoch [76][900/1281] lr: 1.232e-02, eta: 10:39:39, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9144, top5_acc: 0.9988, loss_cls: 0.7860, loss: 0.7860 +2023-12-24 21:11:34,725 - pyskl - INFO - Epoch [76][1000/1281] lr: 1.230e-02, eta: 10:39:00, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 0.7563, loss: 0.7563 +2023-12-24 21:12:16,182 - pyskl - INFO - Epoch [76][1100/1281] lr: 1.228e-02, eta: 10:38:20, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 0.7380, loss: 0.7380 +2023-12-24 21:12:57,841 - pyskl - INFO - Epoch [76][1200/1281] lr: 1.225e-02, eta: 10:37:41, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 0.7292, loss: 0.7292 +2023-12-24 21:13:32,073 - pyskl - INFO - Saving checkpoint at 76 epochs +2023-12-24 21:14:43,580 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:14:43,636 - pyskl - INFO - +top1_acc 0.8900 +top5_acc 0.9924 +2023-12-24 21:14:43,636 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:14:43,643 - pyskl - INFO - +mean_acc 0.8510 +2023-12-24 21:14:43,645 - pyskl - INFO - Epoch(val) [76][533] top1_acc: 0.8900, top5_acc: 0.9924, mean_class_accuracy: 0.8510 +2023-12-24 21:15:41,977 - pyskl - INFO - Epoch [77][100/1281] lr: 1.222e-02, eta: 10:36:14, time: 0.583, data_time: 0.167, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 0.6992, loss: 0.6992 +2023-12-24 21:16:23,513 - pyskl - INFO - Epoch [77][200/1281] lr: 1.220e-02, eta: 10:35:35, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.7300, loss: 0.7300 +2023-12-24 21:17:05,015 - pyskl - INFO - Epoch [77][300/1281] lr: 1.218e-02, eta: 10:34:56, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 0.7118, loss: 0.7118 +2023-12-24 21:17:29,517 - pyskl - INFO - Epoch [77][400/1281] lr: 1.216e-02, eta: 10:34:00, time: 0.245, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 0.7084, loss: 0.7084 +2023-12-24 21:18:13,483 - pyskl - INFO - Epoch [77][500/1281] lr: 1.214e-02, eta: 10:33:23, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 0.7245, loss: 0.7245 +2023-12-24 21:18:38,464 - pyskl - INFO - Epoch [77][600/1281] lr: 1.212e-02, eta: 10:32:28, time: 0.250, data_time: 0.000, memory: 4120, top1_acc: 0.9250, top5_acc: 0.9981, loss_cls: 0.7530, loss: 0.7530 +2023-12-24 21:19:19,422 - pyskl - INFO - Epoch [77][700/1281] lr: 1.210e-02, eta: 10:31:49, time: 0.410, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.7393, loss: 0.7393 +2023-12-24 21:20:01,909 - pyskl - INFO - Epoch [77][800/1281] lr: 1.207e-02, eta: 10:31:11, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9181, top5_acc: 0.9969, loss_cls: 0.7671, loss: 0.7671 +2023-12-24 21:20:44,415 - pyskl - INFO - Epoch [77][900/1281] lr: 1.205e-02, eta: 10:30:32, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9975, loss_cls: 0.7403, loss: 0.7403 +2023-12-24 21:21:26,994 - pyskl - INFO - Epoch [77][1000/1281] lr: 1.203e-02, eta: 10:29:54, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9994, loss_cls: 0.7276, loss: 0.7276 +2023-12-24 21:22:09,465 - pyskl - INFO - Epoch [77][1100/1281] lr: 1.201e-02, eta: 10:29:16, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 1.0000, loss_cls: 0.7114, loss: 0.7114 +2023-12-24 21:22:52,001 - pyskl - INFO - Epoch [77][1200/1281] lr: 1.199e-02, eta: 10:28:38, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 0.7496, loss: 0.7496 +2023-12-24 21:23:26,865 - pyskl - INFO - Saving checkpoint at 77 epochs +2023-12-24 21:24:38,891 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:24:38,946 - pyskl - INFO - +top1_acc 0.8909 +top5_acc 0.9937 +2023-12-24 21:24:38,946 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:24:38,953 - pyskl - INFO - +mean_acc 0.8420 +2023-12-24 21:24:38,955 - pyskl - INFO - Epoch(val) [77][533] top1_acc: 0.8909, top5_acc: 0.9937, mean_class_accuracy: 0.8420 +2023-12-24 21:25:37,589 - pyskl - INFO - Epoch [78][100/1281] lr: 1.196e-02, eta: 10:27:11, time: 0.586, data_time: 0.172, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 0.6966, loss: 0.6966 +2023-12-24 21:26:19,145 - pyskl - INFO - Epoch [78][200/1281] lr: 1.194e-02, eta: 10:26:32, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9994, loss_cls: 0.7396, loss: 0.7396 +2023-12-24 21:27:00,721 - pyskl - INFO - Epoch [78][300/1281] lr: 1.192e-02, eta: 10:25:53, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 1.0000, loss_cls: 0.6786, loss: 0.6786 +2023-12-24 21:27:25,623 - pyskl - INFO - Epoch [78][400/1281] lr: 1.190e-02, eta: 10:24:59, time: 0.249, data_time: 0.001, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 0.7178, loss: 0.7178 +2023-12-24 21:28:09,499 - pyskl - INFO - Epoch [78][500/1281] lr: 1.187e-02, eta: 10:24:22, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 0.7070, loss: 0.7070 +2023-12-24 21:28:34,528 - pyskl - INFO - Epoch [78][600/1281] lr: 1.185e-02, eta: 10:23:27, time: 0.250, data_time: 0.000, memory: 4120, top1_acc: 0.9244, top5_acc: 0.9981, loss_cls: 0.7594, loss: 0.7594 +2023-12-24 21:29:14,864 - pyskl - INFO - Epoch [78][700/1281] lr: 1.183e-02, eta: 10:22:47, time: 0.403, data_time: 0.000, memory: 4120, top1_acc: 0.9275, top5_acc: 1.0000, loss_cls: 0.7265, loss: 0.7265 +2023-12-24 21:29:57,373 - pyskl - INFO - Epoch [78][800/1281] lr: 1.181e-02, eta: 10:22:09, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9281, top5_acc: 0.9962, loss_cls: 0.7245, loss: 0.7245 +2023-12-24 21:30:39,853 - pyskl - INFO - Epoch [78][900/1281] lr: 1.179e-02, eta: 10:21:31, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 0.7359, loss: 0.7359 +2023-12-24 21:31:22,206 - pyskl - INFO - Epoch [78][1000/1281] lr: 1.177e-02, eta: 10:20:52, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9988, loss_cls: 0.7547, loss: 0.7547 +2023-12-24 21:32:04,742 - pyskl - INFO - Epoch [78][1100/1281] lr: 1.175e-02, eta: 10:20:14, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 0.7080, loss: 0.7080 +2023-12-24 21:32:47,255 - pyskl - INFO - Epoch [78][1200/1281] lr: 1.173e-02, eta: 10:19:36, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9256, top5_acc: 0.9988, loss_cls: 0.7806, loss: 0.7806 +2023-12-24 21:33:22,090 - pyskl - INFO - Saving checkpoint at 78 epochs +2023-12-24 21:34:33,895 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:34:33,949 - pyskl - INFO - +top1_acc 0.8821 +top5_acc 0.9924 +2023-12-24 21:34:33,949 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:34:33,955 - pyskl - INFO - +mean_acc 0.8509 +2023-12-24 21:34:33,957 - pyskl - INFO - Epoch(val) [78][533] top1_acc: 0.8821, top5_acc: 0.9924, mean_class_accuracy: 0.8509 +2023-12-24 21:35:33,332 - pyskl - INFO - Epoch [79][100/1281] lr: 1.169e-02, eta: 10:18:10, time: 0.594, data_time: 0.169, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 0.7184, loss: 0.7184 +2023-12-24 21:36:15,807 - pyskl - INFO - Epoch [79][200/1281] lr: 1.167e-02, eta: 10:17:32, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 1.0000, loss_cls: 0.6666, loss: 0.6666 +2023-12-24 21:36:58,257 - pyskl - INFO - Epoch [79][300/1281] lr: 1.165e-02, eta: 10:16:54, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 0.7169, loss: 0.7169 +2023-12-24 21:37:23,305 - pyskl - INFO - Epoch [79][400/1281] lr: 1.163e-02, eta: 10:16:00, time: 0.250, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 0.6912, loss: 0.6912 +2023-12-24 21:38:07,333 - pyskl - INFO - Epoch [79][500/1281] lr: 1.161e-02, eta: 10:15:23, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 1.0000, loss_cls: 0.7254, loss: 0.7254 +2023-12-24 21:38:32,859 - pyskl - INFO - Epoch [79][600/1281] lr: 1.159e-02, eta: 10:14:29, time: 0.255, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 0.6838, loss: 0.6838 +2023-12-24 21:39:11,596 - pyskl - INFO - Epoch [79][700/1281] lr: 1.157e-02, eta: 10:13:48, time: 0.387, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 0.7035, loss: 0.7035 +2023-12-24 21:39:53,180 - pyskl - INFO - Epoch [79][800/1281] lr: 1.155e-02, eta: 10:13:09, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 0.7043, loss: 0.7043 +2023-12-24 21:40:34,762 - pyskl - INFO - Epoch [79][900/1281] lr: 1.153e-02, eta: 10:12:30, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 0.6818, loss: 0.6818 +2023-12-24 21:41:16,395 - pyskl - INFO - Epoch [79][1000/1281] lr: 1.151e-02, eta: 10:11:51, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 0.7168, loss: 0.7168 +2023-12-24 21:41:57,983 - pyskl - INFO - Epoch [79][1100/1281] lr: 1.149e-02, eta: 10:11:12, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9113, top5_acc: 0.9969, loss_cls: 0.7993, loss: 0.7993 +2023-12-24 21:42:39,524 - pyskl - INFO - Epoch [79][1200/1281] lr: 1.147e-02, eta: 10:10:33, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9206, top5_acc: 0.9981, loss_cls: 0.7770, loss: 0.7770 +2023-12-24 21:43:13,843 - pyskl - INFO - Saving checkpoint at 79 epochs +2023-12-24 21:44:25,398 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:44:25,453 - pyskl - INFO - +top1_acc 0.8860 +top5_acc 0.9935 +2023-12-24 21:44:25,453 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:44:25,459 - pyskl - INFO - +mean_acc 0.8559 +2023-12-24 21:44:25,461 - pyskl - INFO - Epoch(val) [79][533] top1_acc: 0.8860, top5_acc: 0.9935, mean_class_accuracy: 0.8559 +2023-12-24 21:45:24,794 - pyskl - INFO - Epoch [80][100/1281] lr: 1.143e-02, eta: 10:09:08, time: 0.593, data_time: 0.169, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 0.7101, loss: 0.7101 +2023-12-24 21:46:07,302 - pyskl - INFO - Epoch [80][200/1281] lr: 1.141e-02, eta: 10:08:29, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.6875, loss: 0.6875 +2023-12-24 21:46:49,759 - pyskl - INFO - Epoch [80][300/1281] lr: 1.139e-02, eta: 10:07:51, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.6582, loss: 0.6582 +2023-12-24 21:47:14,987 - pyskl - INFO - Epoch [80][400/1281] lr: 1.137e-02, eta: 10:06:58, time: 0.252, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9988, loss_cls: 0.7277, loss: 0.7277 +2023-12-24 21:47:58,261 - pyskl - INFO - Epoch [80][500/1281] lr: 1.135e-02, eta: 10:06:20, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9294, top5_acc: 0.9994, loss_cls: 0.7203, loss: 0.7203 +2023-12-24 21:48:25,385 - pyskl - INFO - Epoch [80][600/1281] lr: 1.133e-02, eta: 10:05:28, time: 0.271, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 0.6953, loss: 0.6953 +2023-12-24 21:49:03,188 - pyskl - INFO - Epoch [80][700/1281] lr: 1.131e-02, eta: 10:04:46, time: 0.378, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 0.6990, loss: 0.6990 +2023-12-24 21:49:44,816 - pyskl - INFO - Epoch [80][800/1281] lr: 1.129e-02, eta: 10:04:07, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 0.7435, loss: 0.7435 +2023-12-24 21:50:26,414 - pyskl - INFO - Epoch [80][900/1281] lr: 1.127e-02, eta: 10:03:28, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 0.7073, loss: 0.7073 +2023-12-24 21:51:08,077 - pyskl - INFO - Epoch [80][1000/1281] lr: 1.125e-02, eta: 10:02:49, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.6858, loss: 0.6858 +2023-12-24 21:51:49,701 - pyskl - INFO - Epoch [80][1100/1281] lr: 1.123e-02, eta: 10:02:10, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9981, loss_cls: 0.7575, loss: 0.7575 +2023-12-24 21:52:31,227 - pyskl - INFO - Epoch [80][1200/1281] lr: 1.121e-02, eta: 10:01:31, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9163, top5_acc: 0.9975, loss_cls: 0.7602, loss: 0.7602 +2023-12-24 21:53:05,527 - pyskl - INFO - Saving checkpoint at 80 epochs +2023-12-24 21:54:17,134 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:54:17,202 - pyskl - INFO - +top1_acc 0.8715 +top5_acc 0.9933 +2023-12-24 21:54:17,202 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:54:17,210 - pyskl - INFO - +mean_acc 0.8332 +2023-12-24 21:54:17,212 - pyskl - INFO - Epoch(val) [80][533] top1_acc: 0.8715, top5_acc: 0.9933, mean_class_accuracy: 0.8332 +2023-12-24 21:55:15,883 - pyskl - INFO - Epoch [81][100/1281] lr: 1.117e-02, eta: 10:00:06, time: 0.587, data_time: 0.171, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9981, loss_cls: 0.7229, loss: 0.7229 +2023-12-24 21:55:57,446 - pyskl - INFO - Epoch [81][200/1281] lr: 1.115e-02, eta: 9:59:27, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9988, loss_cls: 0.6998, loss: 0.6998 +2023-12-24 21:56:39,080 - pyskl - INFO - Epoch [81][300/1281] lr: 1.113e-02, eta: 9:58:48, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.7044, loss: 0.7044 +2023-12-24 21:57:04,833 - pyskl - INFO - Epoch [81][400/1281] lr: 1.111e-02, eta: 9:57:55, time: 0.258, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.6960, loss: 0.6960 +2023-12-24 21:57:47,589 - pyskl - INFO - Epoch [81][500/1281] lr: 1.109e-02, eta: 9:57:17, time: 0.428, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.6951, loss: 0.6951 +2023-12-24 21:58:15,273 - pyskl - INFO - Epoch [81][600/1281] lr: 1.107e-02, eta: 9:56:26, time: 0.277, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.6674, loss: 0.6674 +2023-12-24 21:58:52,959 - pyskl - INFO - Epoch [81][700/1281] lr: 1.105e-02, eta: 9:55:44, time: 0.377, data_time: 0.000, memory: 4120, top1_acc: 0.9263, top5_acc: 0.9994, loss_cls: 0.7184, loss: 0.7184 +2023-12-24 21:59:34,542 - pyskl - INFO - Epoch [81][800/1281] lr: 1.103e-02, eta: 9:55:05, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 1.0000, loss_cls: 0.7185, loss: 0.7185 +2023-12-24 22:00:16,086 - pyskl - INFO - Epoch [81][900/1281] lr: 1.101e-02, eta: 9:54:26, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.6942, loss: 0.6942 +2023-12-24 22:00:57,755 - pyskl - INFO - Epoch [81][1000/1281] lr: 1.099e-02, eta: 9:53:47, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 0.6761, loss: 0.6761 +2023-12-24 22:01:39,361 - pyskl - INFO - Epoch [81][1100/1281] lr: 1.097e-02, eta: 9:53:08, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 0.7050, loss: 0.7050 +2023-12-24 22:02:20,899 - pyskl - INFO - Epoch [81][1200/1281] lr: 1.095e-02, eta: 9:52:29, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 0.7069, loss: 0.7069 +2023-12-24 22:02:55,164 - pyskl - INFO - Saving checkpoint at 81 epochs +2023-12-24 22:04:07,022 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:04:07,093 - pyskl - INFO - +top1_acc 0.8958 +top5_acc 0.9938 +2023-12-24 22:04:07,093 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:04:07,103 - pyskl - INFO - +mean_acc 0.8543 +2023-12-24 22:04:07,106 - pyskl - INFO - Epoch(val) [81][533] top1_acc: 0.8958, top5_acc: 0.9938, mean_class_accuracy: 0.8543 +2023-12-24 22:05:06,239 - pyskl - INFO - Epoch [82][100/1281] lr: 1.091e-02, eta: 9:51:05, time: 0.591, data_time: 0.175, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.6736, loss: 0.6736 +2023-12-24 22:05:47,905 - pyskl - INFO - Epoch [82][200/1281] lr: 1.089e-02, eta: 9:50:26, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 0.7161, loss: 0.7161 +2023-12-24 22:06:30,368 - pyskl - INFO - Epoch [82][300/1281] lr: 1.087e-02, eta: 9:49:48, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9994, loss_cls: 0.7004, loss: 0.7004 +2023-12-24 22:06:56,283 - pyskl - INFO - Epoch [82][400/1281] lr: 1.085e-02, eta: 9:48:55, time: 0.259, data_time: 0.000, memory: 4120, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 0.7064, loss: 0.7064 +2023-12-24 22:07:39,707 - pyskl - INFO - Epoch [82][500/1281] lr: 1.083e-02, eta: 9:48:18, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 0.6710, loss: 0.6710 +2023-12-24 22:08:06,685 - pyskl - INFO - Epoch [82][600/1281] lr: 1.081e-02, eta: 9:47:27, time: 0.270, data_time: 0.000, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.7037, loss: 0.7037 +2023-12-24 22:08:44,944 - pyskl - INFO - Epoch [82][700/1281] lr: 1.079e-02, eta: 9:46:45, time: 0.383, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 0.7011, loss: 0.7011 +2023-12-24 22:09:26,564 - pyskl - INFO - Epoch [82][800/1281] lr: 1.077e-02, eta: 9:46:06, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 0.6815, loss: 0.6815 +2023-12-24 22:10:08,135 - pyskl - INFO - Epoch [82][900/1281] lr: 1.075e-02, eta: 9:45:27, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.6662, loss: 0.6662 +2023-12-24 22:10:49,692 - pyskl - INFO - Epoch [82][1000/1281] lr: 1.073e-02, eta: 9:44:48, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.7002, loss: 0.7002 +2023-12-24 22:11:31,283 - pyskl - INFO - Epoch [82][1100/1281] lr: 1.071e-02, eta: 9:44:09, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 0.6864, loss: 0.6864 +2023-12-24 22:12:12,975 - pyskl - INFO - Epoch [82][1200/1281] lr: 1.069e-02, eta: 9:43:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 0.6987, loss: 0.6987 +2023-12-24 22:12:47,081 - pyskl - INFO - Saving checkpoint at 82 epochs +2023-12-24 22:13:58,983 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:13:59,040 - pyskl - INFO - +top1_acc 0.8961 +top5_acc 0.9941 +2023-12-24 22:13:59,040 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:13:59,048 - pyskl - INFO - +mean_acc 0.8650 +2023-12-24 22:13:59,050 - pyskl - INFO - Epoch(val) [82][533] top1_acc: 0.8961, top5_acc: 0.9941, mean_class_accuracy: 0.8650 +2023-12-24 22:14:58,603 - pyskl - INFO - Epoch [83][100/1281] lr: 1.065e-02, eta: 9:42:07, time: 0.595, data_time: 0.171, memory: 4120, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.6628, loss: 0.6628 +2023-12-24 22:15:41,042 - pyskl - INFO - Epoch [83][200/1281] lr: 1.063e-02, eta: 9:41:29, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.6633, loss: 0.6633 +2023-12-24 22:16:23,536 - pyskl - INFO - Epoch [83][300/1281] lr: 1.061e-02, eta: 9:40:50, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9331, top5_acc: 0.9981, loss_cls: 0.7250, loss: 0.7250 +2023-12-24 22:16:48,779 - pyskl - INFO - Epoch [83][400/1281] lr: 1.059e-02, eta: 9:39:58, time: 0.252, data_time: 0.000, memory: 4120, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 0.7179, loss: 0.7179 +2023-12-24 22:17:31,910 - pyskl - INFO - Epoch [83][500/1281] lr: 1.057e-02, eta: 9:39:20, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 0.6886, loss: 0.6886 +2023-12-24 22:17:59,026 - pyskl - INFO - Epoch [83][600/1281] lr: 1.055e-02, eta: 9:38:29, time: 0.271, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 0.7152, loss: 0.7152 +2023-12-24 22:18:36,649 - pyskl - INFO - Epoch [83][700/1281] lr: 1.053e-02, eta: 9:37:47, time: 0.376, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 0.7089, loss: 0.7089 +2023-12-24 22:19:18,220 - pyskl - INFO - Epoch [83][800/1281] lr: 1.051e-02, eta: 9:37:08, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 0.7303, loss: 0.7303 +2023-12-24 22:19:59,798 - pyskl - INFO - Epoch [83][900/1281] lr: 1.049e-02, eta: 9:36:29, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 0.7066, loss: 0.7066 +2023-12-24 22:20:41,415 - pyskl - INFO - Epoch [83][1000/1281] lr: 1.047e-02, eta: 9:35:51, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 1.0000, loss_cls: 0.6898, loss: 0.6898 +2023-12-24 22:21:22,937 - pyskl - INFO - Epoch [83][1100/1281] lr: 1.045e-02, eta: 9:35:12, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 0.7053, loss: 0.7053 +2023-12-24 22:22:04,415 - pyskl - INFO - Epoch [83][1200/1281] lr: 1.043e-02, eta: 9:34:32, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9369, top5_acc: 1.0000, loss_cls: 0.7046, loss: 0.7046 +2023-12-24 22:22:38,564 - pyskl - INFO - Saving checkpoint at 83 epochs +2023-12-24 22:23:50,885 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:23:50,944 - pyskl - INFO - +top1_acc 0.8870 +top5_acc 0.9937 +2023-12-24 22:23:50,944 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:23:50,952 - pyskl - INFO - +mean_acc 0.8558 +2023-12-24 22:23:50,954 - pyskl - INFO - Epoch(val) [83][533] top1_acc: 0.8870, top5_acc: 0.9937, mean_class_accuracy: 0.8558 +2023-12-24 22:24:49,280 - pyskl - INFO - Epoch [84][100/1281] lr: 1.040e-02, eta: 9:33:08, time: 0.583, data_time: 0.169, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 0.6592, loss: 0.6592 +2023-12-24 22:25:31,010 - pyskl - INFO - Epoch [84][200/1281] lr: 1.038e-02, eta: 9:32:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.6284, loss: 0.6284 +2023-12-24 22:26:12,535 - pyskl - INFO - Epoch [84][300/1281] lr: 1.036e-02, eta: 9:31:51, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 0.6685, loss: 0.6685 +2023-12-24 22:26:38,372 - pyskl - INFO - Epoch [84][400/1281] lr: 1.034e-02, eta: 9:30:59, time: 0.258, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.6496, loss: 0.6496 +2023-12-24 22:27:21,462 - pyskl - INFO - Epoch [84][500/1281] lr: 1.031e-02, eta: 9:30:21, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.6509, loss: 0.6509 +2023-12-24 22:27:48,654 - pyskl - INFO - Epoch [84][600/1281] lr: 1.029e-02, eta: 9:29:31, time: 0.272, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9994, loss_cls: 0.6841, loss: 0.6841 +2023-12-24 22:28:27,032 - pyskl - INFO - Epoch [84][700/1281] lr: 1.027e-02, eta: 9:28:49, time: 0.384, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.6495, loss: 0.6495 +2023-12-24 22:29:09,441 - pyskl - INFO - Epoch [84][800/1281] lr: 1.025e-02, eta: 9:28:11, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9344, top5_acc: 1.0000, loss_cls: 0.7010, loss: 0.7010 +2023-12-24 22:29:51,894 - pyskl - INFO - Epoch [84][900/1281] lr: 1.023e-02, eta: 9:27:33, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 0.6822, loss: 0.6822 +2023-12-24 22:30:34,365 - pyskl - INFO - Epoch [84][1000/1281] lr: 1.021e-02, eta: 9:26:55, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9988, loss_cls: 0.7033, loss: 0.7033 +2023-12-24 22:31:16,848 - pyskl - INFO - Epoch [84][1100/1281] lr: 1.019e-02, eta: 9:26:16, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 0.6824, loss: 0.6824 +2023-12-24 22:31:59,286 - pyskl - INFO - Epoch [84][1200/1281] lr: 1.017e-02, eta: 9:25:38, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 0.7039, loss: 0.7039 +2023-12-24 22:32:34,119 - pyskl - INFO - Saving checkpoint at 84 epochs +2023-12-24 22:33:45,712 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:33:45,779 - pyskl - INFO - +top1_acc 0.8851 +top5_acc 0.9903 +2023-12-24 22:33:45,779 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:33:45,787 - pyskl - INFO - +mean_acc 0.8469 +2023-12-24 22:33:45,789 - pyskl - INFO - Epoch(val) [84][533] top1_acc: 0.8851, top5_acc: 0.9903, mean_class_accuracy: 0.8469 +2023-12-24 22:34:44,669 - pyskl - INFO - Epoch [85][100/1281] lr: 1.014e-02, eta: 9:24:15, time: 0.589, data_time: 0.173, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 0.6717, loss: 0.6717 +2023-12-24 22:35:26,272 - pyskl - INFO - Epoch [85][200/1281] lr: 1.012e-02, eta: 9:23:36, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 0.7103, loss: 0.7103 +2023-12-24 22:36:07,817 - pyskl - INFO - Epoch [85][300/1281] lr: 1.010e-02, eta: 9:22:57, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.6644, loss: 0.6644 +2023-12-24 22:36:33,548 - pyskl - INFO - Epoch [85][400/1281] lr: 1.008e-02, eta: 9:22:06, time: 0.257, data_time: 0.000, memory: 4120, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 0.6505, loss: 0.6505 +2023-12-24 22:37:16,650 - pyskl - INFO - Epoch [85][500/1281] lr: 1.006e-02, eta: 9:21:28, time: 0.431, data_time: 0.000, memory: 4120, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.6846, loss: 0.6846 +2023-12-24 22:37:44,008 - pyskl - INFO - Epoch [85][600/1281] lr: 1.004e-02, eta: 9:20:38, time: 0.274, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.6899, loss: 0.6899 +2023-12-24 22:38:22,667 - pyskl - INFO - Epoch [85][700/1281] lr: 1.002e-02, eta: 9:19:57, time: 0.387, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 0.7077, loss: 0.7077 +2023-12-24 22:39:05,113 - pyskl - INFO - Epoch [85][800/1281] lr: 9.998e-03, eta: 9:19:19, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.6799, loss: 0.6799 +2023-12-24 22:39:47,662 - pyskl - INFO - Epoch [85][900/1281] lr: 9.978e-03, eta: 9:18:40, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.6616, loss: 0.6616 +2023-12-24 22:40:30,239 - pyskl - INFO - Epoch [85][1000/1281] lr: 9.958e-03, eta: 9:18:02, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.6560, loss: 0.6560 +2023-12-24 22:41:12,733 - pyskl - INFO - Epoch [85][1100/1281] lr: 9.937e-03, eta: 9:17:24, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 1.0000, loss_cls: 0.6616, loss: 0.6616 +2023-12-24 22:41:55,184 - pyskl - INFO - Epoch [85][1200/1281] lr: 9.917e-03, eta: 9:16:46, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.6625, loss: 0.6625 +2023-12-24 22:42:30,164 - pyskl - INFO - Saving checkpoint at 85 epochs +2023-12-24 22:43:41,589 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:43:41,665 - pyskl - INFO - +top1_acc 0.8912 +top5_acc 0.9933 +2023-12-24 22:43:41,665 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:43:41,675 - pyskl - INFO - +mean_acc 0.8556 +2023-12-24 22:43:41,678 - pyskl - INFO - Epoch(val) [85][533] top1_acc: 0.8912, top5_acc: 0.9933, mean_class_accuracy: 0.8556 +2023-12-24 22:44:40,670 - pyskl - INFO - Epoch [86][100/1281] lr: 9.881e-03, eta: 9:15:23, time: 0.590, data_time: 0.173, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 0.6701, loss: 0.6701 +2023-12-24 22:45:22,362 - pyskl - INFO - Epoch [86][200/1281] lr: 9.861e-03, eta: 9:14:44, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 0.6478, loss: 0.6478 +2023-12-24 22:46:03,983 - pyskl - INFO - Epoch [86][300/1281] lr: 9.841e-03, eta: 9:14:05, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.6374, loss: 0.6374 +2023-12-24 22:46:29,688 - pyskl - INFO - Epoch [86][400/1281] lr: 9.821e-03, eta: 9:13:14, time: 0.257, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.6240, loss: 0.6240 +2023-12-24 22:47:12,946 - pyskl - INFO - Epoch [86][500/1281] lr: 9.801e-03, eta: 9:12:37, time: 0.433, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.6445, loss: 0.6445 +2023-12-24 22:47:40,178 - pyskl - INFO - Epoch [86][600/1281] lr: 9.781e-03, eta: 9:11:47, time: 0.272, data_time: 0.000, memory: 4120, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 0.6634, loss: 0.6634 +2023-12-24 22:48:18,703 - pyskl - INFO - Epoch [86][700/1281] lr: 9.762e-03, eta: 9:11:06, time: 0.385, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.6379, loss: 0.6379 +2023-12-24 22:49:01,256 - pyskl - INFO - Epoch [86][800/1281] lr: 9.742e-03, eta: 9:10:27, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.6071, loss: 0.6071 +2023-12-24 22:49:43,626 - pyskl - INFO - Epoch [86][900/1281] lr: 9.722e-03, eta: 9:09:49, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.6271, loss: 0.6271 +2023-12-24 22:50:26,104 - pyskl - INFO - Epoch [86][1000/1281] lr: 9.702e-03, eta: 9:09:11, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.6547, loss: 0.6547 +2023-12-24 22:51:08,572 - pyskl - INFO - Epoch [86][1100/1281] lr: 9.682e-03, eta: 9:08:33, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.6402, loss: 0.6402 +2023-12-24 22:51:51,079 - pyskl - INFO - Epoch [86][1200/1281] lr: 9.662e-03, eta: 9:07:54, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 0.6938, loss: 0.6938 +2023-12-24 22:52:25,973 - pyskl - INFO - Saving checkpoint at 86 epochs +2023-12-24 22:53:37,709 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:53:37,776 - pyskl - INFO - +top1_acc 0.8760 +top5_acc 0.9906 +2023-12-24 22:53:37,776 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:53:37,784 - pyskl - INFO - +mean_acc 0.8228 +2023-12-24 22:53:37,785 - pyskl - INFO - Epoch(val) [86][533] top1_acc: 0.8760, top5_acc: 0.9906, mean_class_accuracy: 0.8228 +2023-12-24 22:54:37,548 - pyskl - INFO - Epoch [87][100/1281] lr: 9.626e-03, eta: 9:06:32, time: 0.598, data_time: 0.173, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.6096, loss: 0.6096 +2023-12-24 22:55:20,057 - pyskl - INFO - Epoch [87][200/1281] lr: 9.606e-03, eta: 9:05:54, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.6560, loss: 0.6560 +2023-12-24 22:56:02,574 - pyskl - INFO - Epoch [87][300/1281] lr: 9.586e-03, eta: 9:05:16, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.6541, loss: 0.6541 +2023-12-24 22:56:28,100 - pyskl - INFO - Epoch [87][400/1281] lr: 9.566e-03, eta: 9:04:25, time: 0.255, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 0.6364, loss: 0.6364 +2023-12-24 22:57:10,979 - pyskl - INFO - Epoch [87][500/1281] lr: 9.546e-03, eta: 9:03:47, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.6202, loss: 0.6202 +2023-12-24 22:57:38,511 - pyskl - INFO - Epoch [87][600/1281] lr: 9.527e-03, eta: 9:02:58, time: 0.275, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.6475, loss: 0.6475 +2023-12-24 22:58:15,707 - pyskl - INFO - Epoch [87][700/1281] lr: 9.507e-03, eta: 9:02:16, time: 0.372, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.6552, loss: 0.6552 +2023-12-24 22:58:57,280 - pyskl - INFO - Epoch [87][800/1281] lr: 9.487e-03, eta: 9:01:37, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9337, top5_acc: 0.9988, loss_cls: 0.7022, loss: 0.7022 +2023-12-24 22:59:38,787 - pyskl - INFO - Epoch [87][900/1281] lr: 9.467e-03, eta: 9:00:58, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 0.6868, loss: 0.6868 +2023-12-24 23:00:20,399 - pyskl - INFO - Epoch [87][1000/1281] lr: 9.447e-03, eta: 9:00:19, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 0.6596, loss: 0.6596 +2023-12-24 23:01:02,114 - pyskl - INFO - Epoch [87][1100/1281] lr: 9.427e-03, eta: 8:59:40, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.6491, loss: 0.6491 +2023-12-24 23:01:43,729 - pyskl - INFO - Epoch [87][1200/1281] lr: 9.408e-03, eta: 8:59:02, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.6287, loss: 0.6287 +2023-12-24 23:02:18,182 - pyskl - INFO - Saving checkpoint at 87 epochs +2023-12-24 23:03:29,492 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:03:29,563 - pyskl - INFO - +top1_acc 0.8933 +top5_acc 0.9926 +2023-12-24 23:03:29,563 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:03:29,571 - pyskl - INFO - +mean_acc 0.8588 +2023-12-24 23:03:29,573 - pyskl - INFO - Epoch(val) [87][533] top1_acc: 0.8933, top5_acc: 0.9926, mean_class_accuracy: 0.8588 +2023-12-24 23:04:29,059 - pyskl - INFO - Epoch [88][100/1281] lr: 9.372e-03, eta: 8:57:40, time: 0.595, data_time: 0.171, memory: 4120, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 0.6416, loss: 0.6416 +2023-12-24 23:05:11,612 - pyskl - INFO - Epoch [88][200/1281] lr: 9.352e-03, eta: 8:57:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 0.6815, loss: 0.6815 +2023-12-24 23:05:54,094 - pyskl - INFO - Epoch [88][300/1281] lr: 9.332e-03, eta: 8:56:23, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.6126, loss: 0.6126 +2023-12-24 23:06:21,183 - pyskl - INFO - Epoch [88][400/1281] lr: 9.312e-03, eta: 8:55:34, time: 0.271, data_time: 0.001, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.6469, loss: 0.6469 +2023-12-24 23:07:02,785 - pyskl - INFO - Epoch [88][500/1281] lr: 9.293e-03, eta: 8:54:55, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.6505, loss: 0.6505 +2023-12-24 23:07:31,424 - pyskl - INFO - Epoch [88][600/1281] lr: 9.273e-03, eta: 8:54:07, time: 0.286, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.6384, loss: 0.6384 +2023-12-24 23:08:08,401 - pyskl - INFO - Epoch [88][700/1281] lr: 9.253e-03, eta: 8:53:25, time: 0.370, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 0.6450, loss: 0.6450 +2023-12-24 23:08:50,859 - pyskl - INFO - Epoch [88][800/1281] lr: 9.233e-03, eta: 8:52:46, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 0.6699, loss: 0.6699 +2023-12-24 23:09:33,282 - pyskl - INFO - Epoch [88][900/1281] lr: 9.214e-03, eta: 8:52:08, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 0.6842, loss: 0.6842 +2023-12-24 23:10:15,686 - pyskl - INFO - Epoch [88][1000/1281] lr: 9.194e-03, eta: 8:51:30, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 0.6895, loss: 0.6895 +2023-12-24 23:10:58,137 - pyskl - INFO - Epoch [88][1100/1281] lr: 9.174e-03, eta: 8:50:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9363, top5_acc: 0.9994, loss_cls: 0.6746, loss: 0.6746 +2023-12-24 23:11:40,564 - pyskl - INFO - Epoch [88][1200/1281] lr: 9.155e-03, eta: 8:50:13, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9325, top5_acc: 0.9994, loss_cls: 0.7027, loss: 0.7027 +2023-12-24 23:12:15,432 - pyskl - INFO - Saving checkpoint at 88 epochs +2023-12-24 23:13:27,313 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:13:27,366 - pyskl - INFO - +top1_acc 0.9019 +top5_acc 0.9946 +2023-12-24 23:13:27,367 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:13:27,373 - pyskl - INFO - +mean_acc 0.8649 +2023-12-24 23:13:27,377 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_75.pth was removed +2023-12-24 23:13:27,557 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_88.pth. +2023-12-24 23:13:27,558 - pyskl - INFO - Best top1_acc is 0.9019 at 88 epoch. +2023-12-24 23:13:27,561 - pyskl - INFO - Epoch(val) [88][533] top1_acc: 0.9019, top5_acc: 0.9946, mean_class_accuracy: 0.8649 +2023-12-24 23:14:26,315 - pyskl - INFO - Epoch [89][100/1281] lr: 9.119e-03, eta: 8:48:51, time: 0.587, data_time: 0.172, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.6264, loss: 0.6264 +2023-12-24 23:15:07,924 - pyskl - INFO - Epoch [89][200/1281] lr: 9.099e-03, eta: 8:48:12, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.6443, loss: 0.6443 +2023-12-24 23:15:49,505 - pyskl - INFO - Epoch [89][300/1281] lr: 9.080e-03, eta: 8:47:33, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.6347, loss: 0.6347 +2023-12-24 23:16:16,420 - pyskl - INFO - Epoch [89][400/1281] lr: 9.060e-03, eta: 8:46:44, time: 0.269, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.6160, loss: 0.6160 +2023-12-24 23:16:57,750 - pyskl - INFO - Epoch [89][500/1281] lr: 9.040e-03, eta: 8:46:05, time: 0.413, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.6215, loss: 0.6215 +2023-12-24 23:17:26,878 - pyskl - INFO - Epoch [89][600/1281] lr: 9.021e-03, eta: 8:45:18, time: 0.291, data_time: 0.000, memory: 4120, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 0.6429, loss: 0.6429 +2023-12-24 23:18:03,401 - pyskl - INFO - Epoch [89][700/1281] lr: 9.001e-03, eta: 8:44:35, time: 0.365, data_time: 0.000, memory: 4120, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 0.6685, loss: 0.6685 +2023-12-24 23:18:45,906 - pyskl - INFO - Epoch [89][800/1281] lr: 8.982e-03, eta: 8:43:57, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.6188, loss: 0.6188 +2023-12-24 23:19:28,340 - pyskl - INFO - Epoch [89][900/1281] lr: 8.962e-03, eta: 8:43:19, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 0.6375, loss: 0.6375 +2023-12-24 23:20:10,854 - pyskl - INFO - Epoch [89][1000/1281] lr: 8.942e-03, eta: 8:42:40, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 0.6889, loss: 0.6889 +2023-12-24 23:20:53,402 - pyskl - INFO - Epoch [89][1100/1281] lr: 8.923e-03, eta: 8:42:02, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 0.6576, loss: 0.6576 +2023-12-24 23:21:35,901 - pyskl - INFO - Epoch [89][1200/1281] lr: 8.903e-03, eta: 8:41:24, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9450, top5_acc: 0.9994, loss_cls: 0.6434, loss: 0.6434 +2023-12-24 23:22:10,687 - pyskl - INFO - Saving checkpoint at 89 epochs +2023-12-24 23:23:21,856 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:23:21,913 - pyskl - INFO - +top1_acc 0.9017 +top5_acc 0.9942 +2023-12-24 23:23:21,913 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:23:21,921 - pyskl - INFO - +mean_acc 0.8664 +2023-12-24 23:23:21,924 - pyskl - INFO - Epoch(val) [89][533] top1_acc: 0.9017, top5_acc: 0.9942, mean_class_accuracy: 0.8664 +2023-12-24 23:24:20,668 - pyskl - INFO - Epoch [90][100/1281] lr: 8.868e-03, eta: 8:40:02, time: 0.587, data_time: 0.172, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.6098, loss: 0.6098 +2023-12-24 23:25:02,263 - pyskl - INFO - Epoch [90][200/1281] lr: 8.848e-03, eta: 8:39:23, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.5992, loss: 0.5992 +2023-12-24 23:25:43,920 - pyskl - INFO - Epoch [90][300/1281] lr: 8.829e-03, eta: 8:38:45, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.5844, loss: 0.5844 +2023-12-24 23:26:11,968 - pyskl - INFO - Epoch [90][400/1281] lr: 8.809e-03, eta: 8:37:56, time: 0.280, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.6205, loss: 0.6205 +2023-12-24 23:26:51,579 - pyskl - INFO - Epoch [90][500/1281] lr: 8.790e-03, eta: 8:37:16, time: 0.396, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 0.6314, loss: 0.6314 +2023-12-24 23:27:22,383 - pyskl - INFO - Epoch [90][600/1281] lr: 8.770e-03, eta: 8:36:30, time: 0.308, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.6075, loss: 0.6075 +2023-12-24 23:27:56,426 - pyskl - INFO - Epoch [90][700/1281] lr: 8.751e-03, eta: 8:35:46, time: 0.340, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.6106, loss: 0.6106 +2023-12-24 23:28:37,975 - pyskl - INFO - Epoch [90][800/1281] lr: 8.731e-03, eta: 8:35:07, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 0.6113, loss: 0.6113 +2023-12-24 23:29:19,572 - pyskl - INFO - Epoch [90][900/1281] lr: 8.712e-03, eta: 8:34:28, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 0.6432, loss: 0.6432 +2023-12-24 23:30:01,092 - pyskl - INFO - Epoch [90][1000/1281] lr: 8.692e-03, eta: 8:33:49, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.6574, loss: 0.6574 +2023-12-24 23:30:42,657 - pyskl - INFO - Epoch [90][1100/1281] lr: 8.673e-03, eta: 8:33:10, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.6404, loss: 0.6404 +2023-12-24 23:31:24,327 - pyskl - INFO - Epoch [90][1200/1281] lr: 8.653e-03, eta: 8:32:32, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.6289, loss: 0.6289 +2023-12-24 23:31:58,521 - pyskl - INFO - Saving checkpoint at 90 epochs +2023-12-24 23:33:10,048 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:33:10,104 - pyskl - INFO - +top1_acc 0.9010 +top5_acc 0.9942 +2023-12-24 23:33:10,104 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:33:10,111 - pyskl - INFO - +mean_acc 0.8707 +2023-12-24 23:33:10,113 - pyskl - INFO - Epoch(val) [90][533] top1_acc: 0.9010, top5_acc: 0.9942, mean_class_accuracy: 0.8707 +2023-12-24 23:34:08,659 - pyskl - INFO - Epoch [91][100/1281] lr: 8.618e-03, eta: 8:31:10, time: 0.585, data_time: 0.170, memory: 4120, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 0.6393, loss: 0.6393 +2023-12-24 23:34:50,262 - pyskl - INFO - Epoch [91][200/1281] lr: 8.599e-03, eta: 8:30:31, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 0.6254, loss: 0.6254 +2023-12-24 23:35:31,917 - pyskl - INFO - Epoch [91][300/1281] lr: 8.579e-03, eta: 8:29:52, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.6174, loss: 0.6174 +2023-12-24 23:36:01,531 - pyskl - INFO - Epoch [91][400/1281] lr: 8.560e-03, eta: 8:29:06, time: 0.296, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.6178, loss: 0.6178 +2023-12-24 23:36:40,218 - pyskl - INFO - Epoch [91][500/1281] lr: 8.540e-03, eta: 8:28:25, time: 0.387, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.6207, loss: 0.6207 +2023-12-24 23:37:11,977 - pyskl - INFO - Epoch [91][600/1281] lr: 8.521e-03, eta: 8:27:39, time: 0.318, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.6277, loss: 0.6277 +2023-12-24 23:37:45,923 - pyskl - INFO - Epoch [91][700/1281] lr: 8.502e-03, eta: 8:26:56, time: 0.339, data_time: 0.000, memory: 4120, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 0.6387, loss: 0.6387 +2023-12-24 23:38:28,403 - pyskl - INFO - Epoch [91][800/1281] lr: 8.482e-03, eta: 8:26:17, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.6516, loss: 0.6516 +2023-12-24 23:39:10,926 - pyskl - INFO - Epoch [91][900/1281] lr: 8.463e-03, eta: 8:25:39, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 0.6133, loss: 0.6133 +2023-12-24 23:39:53,463 - pyskl - INFO - Epoch [91][1000/1281] lr: 8.444e-03, eta: 8:25:01, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.6123, loss: 0.6123 +2023-12-24 23:40:35,919 - pyskl - INFO - Epoch [91][1100/1281] lr: 8.424e-03, eta: 8:24:23, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9450, top5_acc: 1.0000, loss_cls: 0.6392, loss: 0.6392 +2023-12-24 23:41:18,338 - pyskl - INFO - Epoch [91][1200/1281] lr: 8.405e-03, eta: 8:23:44, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.6048, loss: 0.6048 +2023-12-24 23:41:53,259 - pyskl - INFO - Saving checkpoint at 91 epochs +2023-12-24 23:43:04,711 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:43:04,779 - pyskl - INFO - +top1_acc 0.8993 +top5_acc 0.9932 +2023-12-24 23:43:04,779 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:43:04,788 - pyskl - INFO - +mean_acc 0.8558 +2023-12-24 23:43:04,790 - pyskl - INFO - Epoch(val) [91][533] top1_acc: 0.8993, top5_acc: 0.9932, mean_class_accuracy: 0.8558 +2023-12-24 23:44:03,456 - pyskl - INFO - Epoch [92][100/1281] lr: 8.370e-03, eta: 8:22:23, time: 0.587, data_time: 0.169, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.5893, loss: 0.5893 +2023-12-24 23:44:45,044 - pyskl - INFO - Epoch [92][200/1281] lr: 8.351e-03, eta: 8:21:44, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.5625, loss: 0.5625 +2023-12-24 23:45:26,669 - pyskl - INFO - Epoch [92][300/1281] lr: 8.332e-03, eta: 8:21:05, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.5857, loss: 0.5857 +2023-12-24 23:45:57,354 - pyskl - INFO - Epoch [92][400/1281] lr: 8.312e-03, eta: 8:20:19, time: 0.307, data_time: 0.001, memory: 4120, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.5732, loss: 0.5732 +2023-12-24 23:46:34,901 - pyskl - INFO - Epoch [92][500/1281] lr: 8.293e-03, eta: 8:19:38, time: 0.375, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.5964, loss: 0.5964 +2023-12-24 23:47:07,744 - pyskl - INFO - Epoch [92][600/1281] lr: 8.274e-03, eta: 8:18:54, time: 0.328, data_time: 0.001, memory: 4120, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 0.6166, loss: 0.6166 +2023-12-24 23:47:40,768 - pyskl - INFO - Epoch [92][700/1281] lr: 8.255e-03, eta: 8:18:09, time: 0.330, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.6324, loss: 0.6324 +2023-12-24 23:48:23,221 - pyskl - INFO - Epoch [92][800/1281] lr: 8.235e-03, eta: 8:17:31, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.6180, loss: 0.6180 +2023-12-24 23:49:05,660 - pyskl - INFO - Epoch [92][900/1281] lr: 8.216e-03, eta: 8:16:53, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 0.6283, loss: 0.6283 +2023-12-24 23:49:48,094 - pyskl - INFO - Epoch [92][1000/1281] lr: 8.197e-03, eta: 8:16:14, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.6187, loss: 0.6187 +2023-12-24 23:50:30,526 - pyskl - INFO - Epoch [92][1100/1281] lr: 8.178e-03, eta: 8:15:36, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 0.6184, loss: 0.6184 +2023-12-24 23:51:13,002 - pyskl - INFO - Epoch [92][1200/1281] lr: 8.159e-03, eta: 8:14:58, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.6178, loss: 0.6178 +2023-12-24 23:51:47,790 - pyskl - INFO - Saving checkpoint at 92 epochs +2023-12-24 23:52:59,805 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:52:59,862 - pyskl - INFO - +top1_acc 0.8997 +top5_acc 0.9937 +2023-12-24 23:52:59,862 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:52:59,870 - pyskl - INFO - +mean_acc 0.8675 +2023-12-24 23:52:59,872 - pyskl - INFO - Epoch(val) [92][533] top1_acc: 0.8997, top5_acc: 0.9937, mean_class_accuracy: 0.8675 +2023-12-24 23:53:58,421 - pyskl - INFO - Epoch [93][100/1281] lr: 8.124e-03, eta: 8:13:37, time: 0.585, data_time: 0.170, memory: 4120, top1_acc: 0.9506, top5_acc: 1.0000, loss_cls: 0.6014, loss: 0.6014 +2023-12-24 23:54:40,245 - pyskl - INFO - Epoch [93][200/1281] lr: 8.105e-03, eta: 8:12:58, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.6300, loss: 0.6300 +2023-12-24 23:55:22,712 - pyskl - INFO - Epoch [93][300/1281] lr: 8.086e-03, eta: 8:12:20, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.5822, loss: 0.5822 +2023-12-24 23:55:54,314 - pyskl - INFO - Epoch [93][400/1281] lr: 8.067e-03, eta: 8:11:35, time: 0.316, data_time: 0.001, memory: 4120, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.6590, loss: 0.6590 +2023-12-24 23:56:31,601 - pyskl - INFO - Epoch [93][500/1281] lr: 8.047e-03, eta: 8:10:53, time: 0.373, data_time: 0.001, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.5967, loss: 0.5967 +2023-12-24 23:57:04,766 - pyskl - INFO - Epoch [93][600/1281] lr: 8.028e-03, eta: 8:10:09, time: 0.332, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.5600, loss: 0.5600 +2023-12-24 23:57:37,151 - pyskl - INFO - Epoch [93][700/1281] lr: 8.009e-03, eta: 8:09:24, time: 0.324, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.6051, loss: 0.6051 +2023-12-24 23:58:18,696 - pyskl - INFO - Epoch [93][800/1281] lr: 7.990e-03, eta: 8:08:45, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.5728, loss: 0.5728 +2023-12-24 23:59:00,218 - pyskl - INFO - Epoch [93][900/1281] lr: 7.971e-03, eta: 8:08:07, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 0.6354, loss: 0.6354 +2023-12-24 23:59:41,815 - pyskl - INFO - Epoch [93][1000/1281] lr: 7.952e-03, eta: 8:07:28, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.6440, loss: 0.6440 +2023-12-25 00:00:23,333 - pyskl - INFO - Epoch [93][1100/1281] lr: 7.933e-03, eta: 8:06:49, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 0.6207, loss: 0.6207 +2023-12-25 00:01:04,979 - pyskl - INFO - Epoch [93][1200/1281] lr: 7.914e-03, eta: 8:06:10, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.5700, loss: 0.5700 +2023-12-25 00:01:39,132 - pyskl - INFO - Saving checkpoint at 93 epochs +2023-12-25 00:02:50,494 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:02:50,558 - pyskl - INFO - +top1_acc 0.9019 +top5_acc 0.9925 +2023-12-25 00:02:50,559 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:02:50,568 - pyskl - INFO - +mean_acc 0.8731 +2023-12-25 00:02:50,571 - pyskl - INFO - Epoch(val) [93][533] top1_acc: 0.9019, top5_acc: 0.9925, mean_class_accuracy: 0.8731 +2023-12-25 00:03:49,407 - pyskl - INFO - Epoch [94][100/1281] lr: 7.880e-03, eta: 8:04:49, time: 0.588, data_time: 0.171, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.5865, loss: 0.5865 +2023-12-25 00:04:31,014 - pyskl - INFO - Epoch [94][200/1281] lr: 7.861e-03, eta: 8:04:11, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.5659, loss: 0.5659 +2023-12-25 00:05:12,704 - pyskl - INFO - Epoch [94][300/1281] lr: 7.842e-03, eta: 8:03:32, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.5678, loss: 0.5678 +2023-12-25 00:05:43,948 - pyskl - INFO - Epoch [94][400/1281] lr: 7.823e-03, eta: 8:02:47, time: 0.312, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.5793, loss: 0.5793 +2023-12-25 00:06:20,596 - pyskl - INFO - Epoch [94][500/1281] lr: 7.804e-03, eta: 8:02:05, time: 0.366, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.5821, loss: 0.5821 +2023-12-25 00:06:54,494 - pyskl - INFO - Epoch [94][600/1281] lr: 7.785e-03, eta: 8:01:21, time: 0.339, data_time: 0.000, memory: 4120, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 0.6060, loss: 0.6060 +2023-12-25 00:07:26,538 - pyskl - INFO - Epoch [94][700/1281] lr: 7.766e-03, eta: 8:00:37, time: 0.320, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.5886, loss: 0.5886 +2023-12-25 00:08:08,140 - pyskl - INFO - Epoch [94][800/1281] lr: 7.747e-03, eta: 7:59:58, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.6024, loss: 0.6024 +2023-12-25 00:08:49,762 - pyskl - INFO - Epoch [94][900/1281] lr: 7.728e-03, eta: 7:59:19, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.5864, loss: 0.5864 +2023-12-25 00:09:31,362 - pyskl - INFO - Epoch [94][1000/1281] lr: 7.709e-03, eta: 7:58:40, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.5782, loss: 0.5782 +2023-12-25 00:10:12,994 - pyskl - INFO - Epoch [94][1100/1281] lr: 7.690e-03, eta: 7:58:01, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 0.6276, loss: 0.6276 +2023-12-25 00:10:54,430 - pyskl - INFO - Epoch [94][1200/1281] lr: 7.672e-03, eta: 7:57:22, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.6222, loss: 0.6222 +2023-12-25 00:11:28,712 - pyskl - INFO - Saving checkpoint at 94 epochs +2023-12-25 00:12:40,164 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:12:40,218 - pyskl - INFO - +top1_acc 0.8764 +top5_acc 0.9887 +2023-12-25 00:12:40,218 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:12:40,225 - pyskl - INFO - +mean_acc 0.8478 +2023-12-25 00:12:40,226 - pyskl - INFO - Epoch(val) [94][533] top1_acc: 0.8764, top5_acc: 0.9887, mean_class_accuracy: 0.8478 +2023-12-25 00:13:39,196 - pyskl - INFO - Epoch [95][100/1281] lr: 7.637e-03, eta: 7:56:02, time: 0.590, data_time: 0.165, memory: 4120, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 0.6442, loss: 0.6442 +2023-12-25 00:14:21,586 - pyskl - INFO - Epoch [95][200/1281] lr: 7.619e-03, eta: 7:55:24, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.5958, loss: 0.5958 +2023-12-25 00:15:04,073 - pyskl - INFO - Epoch [95][300/1281] lr: 7.600e-03, eta: 7:54:46, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.6019, loss: 0.6019 +2023-12-25 00:15:36,927 - pyskl - INFO - Epoch [95][400/1281] lr: 7.581e-03, eta: 7:54:02, time: 0.329, data_time: 0.000, memory: 4120, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.6034, loss: 0.6034 +2023-12-25 00:16:12,529 - pyskl - INFO - Epoch [95][500/1281] lr: 7.562e-03, eta: 7:53:19, time: 0.356, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.5585, loss: 0.5585 +2023-12-25 00:16:47,575 - pyskl - INFO - Epoch [95][600/1281] lr: 7.543e-03, eta: 7:52:37, time: 0.350, data_time: 0.000, memory: 4120, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.6160, loss: 0.6160 +2023-12-25 00:17:19,059 - pyskl - INFO - Epoch [95][700/1281] lr: 7.525e-03, eta: 7:51:52, time: 0.315, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.5866, loss: 0.5866 +2023-12-25 00:18:01,561 - pyskl - INFO - Epoch [95][800/1281] lr: 7.506e-03, eta: 7:51:13, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.5748, loss: 0.5748 +2023-12-25 00:18:44,034 - pyskl - INFO - Epoch [95][900/1281] lr: 7.487e-03, eta: 7:50:35, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.5980, loss: 0.5980 +2023-12-25 00:19:26,490 - pyskl - INFO - Epoch [95][1000/1281] lr: 7.468e-03, eta: 7:49:57, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.5918, loss: 0.5918 +2023-12-25 00:20:08,979 - pyskl - INFO - Epoch [95][1100/1281] lr: 7.450e-03, eta: 7:49:18, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.6157, loss: 0.6157 +2023-12-25 00:20:51,438 - pyskl - INFO - Epoch [95][1200/1281] lr: 7.431e-03, eta: 7:48:40, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 0.5786, loss: 0.5786 +2023-12-25 00:21:26,270 - pyskl - INFO - Saving checkpoint at 95 epochs +2023-12-25 00:22:37,738 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:22:37,793 - pyskl - INFO - +top1_acc 0.9080 +top5_acc 0.9941 +2023-12-25 00:22:37,793 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:22:37,799 - pyskl - INFO - +mean_acc 0.8777 +2023-12-25 00:22:37,803 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_88.pth was removed +2023-12-25 00:22:38,003 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_95.pth. +2023-12-25 00:22:38,003 - pyskl - INFO - Best top1_acc is 0.9080 at 95 epoch. +2023-12-25 00:22:38,006 - pyskl - INFO - Epoch(val) [95][533] top1_acc: 0.9080, top5_acc: 0.9941, mean_class_accuracy: 0.8777 +2023-12-25 00:23:36,716 - pyskl - INFO - Epoch [96][100/1281] lr: 7.397e-03, eta: 7:47:20, time: 0.587, data_time: 0.164, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.5630, loss: 0.5630 +2023-12-25 00:24:19,164 - pyskl - INFO - Epoch [96][200/1281] lr: 7.379e-03, eta: 7:46:42, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.5619, loss: 0.5619 +2023-12-25 00:25:01,632 - pyskl - INFO - Epoch [96][300/1281] lr: 7.360e-03, eta: 7:46:03, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 0.5944, loss: 0.5944 +2023-12-25 00:25:35,344 - pyskl - INFO - Epoch [96][400/1281] lr: 7.341e-03, eta: 7:45:20, time: 0.337, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.5395, loss: 0.5395 +2023-12-25 00:26:09,549 - pyskl - INFO - Epoch [96][500/1281] lr: 7.323e-03, eta: 7:44:37, time: 0.342, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.5834, loss: 0.5834 +2023-12-25 00:26:45,712 - pyskl - INFO - Epoch [96][600/1281] lr: 7.304e-03, eta: 7:43:55, time: 0.362, data_time: 0.000, memory: 4120, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.5922, loss: 0.5922 +2023-12-25 00:27:16,162 - pyskl - INFO - Epoch [96][700/1281] lr: 7.286e-03, eta: 7:43:10, time: 0.304, data_time: 0.000, memory: 4120, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 0.5859, loss: 0.5859 +2023-12-25 00:27:58,691 - pyskl - INFO - Epoch [96][800/1281] lr: 7.267e-03, eta: 7:42:31, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 0.6175, loss: 0.6175 +2023-12-25 00:28:41,104 - pyskl - INFO - Epoch [96][900/1281] lr: 7.249e-03, eta: 7:41:53, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.5675, loss: 0.5675 +2023-12-25 00:29:23,559 - pyskl - INFO - Epoch [96][1000/1281] lr: 7.230e-03, eta: 7:41:15, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.5654, loss: 0.5654 +2023-12-25 00:30:06,048 - pyskl - INFO - Epoch [96][1100/1281] lr: 7.211e-03, eta: 7:40:36, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.5801, loss: 0.5801 +2023-12-25 00:30:48,547 - pyskl - INFO - Epoch [96][1200/1281] lr: 7.193e-03, eta: 7:39:58, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.5790, loss: 0.5790 +2023-12-25 00:31:23,503 - pyskl - INFO - Saving checkpoint at 96 epochs +2023-12-25 00:32:34,791 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:32:34,845 - pyskl - INFO - +top1_acc 0.9025 +top5_acc 0.9937 +2023-12-25 00:32:34,845 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:32:34,852 - pyskl - INFO - +mean_acc 0.8649 +2023-12-25 00:32:34,853 - pyskl - INFO - Epoch(val) [96][533] top1_acc: 0.9025, top5_acc: 0.9937, mean_class_accuracy: 0.8649 +2023-12-25 00:33:32,907 - pyskl - INFO - Epoch [97][100/1281] lr: 7.159e-03, eta: 7:38:38, time: 0.580, data_time: 0.165, memory: 4120, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 0.5934, loss: 0.5934 +2023-12-25 00:34:14,463 - pyskl - INFO - Epoch [97][200/1281] lr: 7.141e-03, eta: 7:37:59, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.5604, loss: 0.5604 +2023-12-25 00:34:56,137 - pyskl - INFO - Epoch [97][300/1281] lr: 7.123e-03, eta: 7:37:20, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.5612, loss: 0.5612 +2023-12-25 00:35:30,523 - pyskl - INFO - Epoch [97][400/1281] lr: 7.104e-03, eta: 7:36:37, time: 0.344, data_time: 0.000, memory: 4120, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 0.5763, loss: 0.5763 +2023-12-25 00:36:03,303 - pyskl - INFO - Epoch [97][500/1281] lr: 7.086e-03, eta: 7:35:54, time: 0.328, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.5731, loss: 0.5731 +2023-12-25 00:36:41,089 - pyskl - INFO - Epoch [97][600/1281] lr: 7.067e-03, eta: 7:35:13, time: 0.378, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.5600, loss: 0.5600 +2023-12-25 00:37:09,935 - pyskl - INFO - Epoch [97][700/1281] lr: 7.049e-03, eta: 7:34:27, time: 0.288, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.5658, loss: 0.5658 +2023-12-25 00:37:51,507 - pyskl - INFO - Epoch [97][800/1281] lr: 7.030e-03, eta: 7:33:48, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.5467, loss: 0.5467 +2023-12-25 00:38:33,117 - pyskl - INFO - Epoch [97][900/1281] lr: 7.012e-03, eta: 7:33:09, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.5842, loss: 0.5842 +2023-12-25 00:39:14,722 - pyskl - INFO - Epoch [97][1000/1281] lr: 6.994e-03, eta: 7:32:30, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.5584, loss: 0.5584 +2023-12-25 00:39:56,223 - pyskl - INFO - Epoch [97][1100/1281] lr: 6.975e-03, eta: 7:31:51, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.5577, loss: 0.5577 +2023-12-25 00:40:37,874 - pyskl - INFO - Epoch [97][1200/1281] lr: 6.957e-03, eta: 7:31:12, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.5767, loss: 0.5767 +2023-12-25 00:41:12,019 - pyskl - INFO - Saving checkpoint at 97 epochs +2023-12-25 00:42:23,568 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:42:23,622 - pyskl - INFO - +top1_acc 0.8999 +top5_acc 0.9934 +2023-12-25 00:42:23,622 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:42:23,628 - pyskl - INFO - +mean_acc 0.8562 +2023-12-25 00:42:23,629 - pyskl - INFO - Epoch(val) [97][533] top1_acc: 0.8999, top5_acc: 0.9934, mean_class_accuracy: 0.8562 +2023-12-25 00:43:23,575 - pyskl - INFO - Epoch [98][100/1281] lr: 6.924e-03, eta: 7:29:54, time: 0.599, data_time: 0.175, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.5509, loss: 0.5509 +2023-12-25 00:44:06,021 - pyskl - INFO - Epoch [98][200/1281] lr: 6.906e-03, eta: 7:29:15, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.5294, loss: 0.5294 +2023-12-25 00:44:48,407 - pyskl - INFO - Epoch [98][300/1281] lr: 6.887e-03, eta: 7:28:37, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.5690, loss: 0.5690 +2023-12-25 00:45:23,701 - pyskl - INFO - Epoch [98][400/1281] lr: 6.869e-03, eta: 7:27:55, time: 0.353, data_time: 0.000, memory: 4120, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.5342, loss: 0.5342 +2023-12-25 00:45:56,216 - pyskl - INFO - Epoch [98][500/1281] lr: 6.851e-03, eta: 7:27:11, time: 0.325, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.5692, loss: 0.5692 +2023-12-25 00:46:34,097 - pyskl - INFO - Epoch [98][600/1281] lr: 6.833e-03, eta: 7:26:30, time: 0.379, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.5475, loss: 0.5475 +2023-12-25 00:47:02,045 - pyskl - INFO - Epoch [98][700/1281] lr: 6.814e-03, eta: 7:25:44, time: 0.279, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.5469, loss: 0.5469 +2023-12-25 00:47:43,699 - pyskl - INFO - Epoch [98][800/1281] lr: 6.796e-03, eta: 7:25:05, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.5632, loss: 0.5632 +2023-12-25 00:48:25,305 - pyskl - INFO - Epoch [98][900/1281] lr: 6.778e-03, eta: 7:24:26, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.5748, loss: 0.5748 +2023-12-25 00:49:06,920 - pyskl - INFO - Epoch [98][1000/1281] lr: 6.760e-03, eta: 7:23:47, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.5759, loss: 0.5759 +2023-12-25 00:49:48,379 - pyskl - INFO - Epoch [98][1100/1281] lr: 6.742e-03, eta: 7:23:08, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.5721, loss: 0.5721 +2023-12-25 00:50:29,882 - pyskl - INFO - Epoch [98][1200/1281] lr: 6.724e-03, eta: 7:22:30, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.5861, loss: 0.5861 +2023-12-25 00:51:04,034 - pyskl - INFO - Saving checkpoint at 98 epochs +2023-12-25 00:52:15,466 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:52:15,520 - pyskl - INFO - +top1_acc 0.9135 +top5_acc 0.9937 +2023-12-25 00:52:15,520 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:52:15,526 - pyskl - INFO - +mean_acc 0.8940 +2023-12-25 00:52:15,531 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_95.pth was removed +2023-12-25 00:52:15,704 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. +2023-12-25 00:52:15,704 - pyskl - INFO - Best top1_acc is 0.9135 at 98 epoch. +2023-12-25 00:52:15,707 - pyskl - INFO - Epoch(val) [98][533] top1_acc: 0.9135, top5_acc: 0.9937, mean_class_accuracy: 0.8940 +2023-12-25 00:53:14,958 - pyskl - INFO - Epoch [99][100/1281] lr: 6.691e-03, eta: 7:21:11, time: 0.592, data_time: 0.168, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.5463, loss: 0.5463 +2023-12-25 00:53:57,434 - pyskl - INFO - Epoch [99][200/1281] lr: 6.673e-03, eta: 7:20:32, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.5397, loss: 0.5397 +2023-12-25 00:54:39,928 - pyskl - INFO - Epoch [99][300/1281] lr: 6.655e-03, eta: 7:19:54, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.5357, loss: 0.5357 +2023-12-25 00:55:16,907 - pyskl - INFO - Epoch [99][400/1281] lr: 6.637e-03, eta: 7:19:13, time: 0.370, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.5033, loss: 0.5033 +2023-12-25 00:55:48,560 - pyskl - INFO - Epoch [99][500/1281] lr: 6.619e-03, eta: 7:18:29, time: 0.317, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.5302, loss: 0.5302 +2023-12-25 00:56:27,531 - pyskl - INFO - Epoch [99][600/1281] lr: 6.601e-03, eta: 7:17:48, time: 0.390, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.5447, loss: 0.5447 +2023-12-25 00:56:54,531 - pyskl - INFO - Epoch [99][700/1281] lr: 6.583e-03, eta: 7:17:02, time: 0.270, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.5321, loss: 0.5321 +2023-12-25 00:57:36,158 - pyskl - INFO - Epoch [99][800/1281] lr: 6.565e-03, eta: 7:16:23, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.5582, loss: 0.5582 +2023-12-25 00:58:17,736 - pyskl - INFO - Epoch [99][900/1281] lr: 6.547e-03, eta: 7:15:44, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.5530, loss: 0.5530 +2023-12-25 00:58:59,387 - pyskl - INFO - Epoch [99][1000/1281] lr: 6.529e-03, eta: 7:15:05, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 0.5581, loss: 0.5581 +2023-12-25 00:59:41,009 - pyskl - INFO - Epoch [99][1100/1281] lr: 6.511e-03, eta: 7:14:27, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.5414, loss: 0.5414 +2023-12-25 01:00:22,547 - pyskl - INFO - Epoch [99][1200/1281] lr: 6.493e-03, eta: 7:13:48, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.5195, loss: 0.5195 +2023-12-25 01:00:56,733 - pyskl - INFO - Saving checkpoint at 99 epochs +2023-12-25 01:02:08,290 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 01:02:08,359 - pyskl - INFO - +top1_acc 0.9160 +top5_acc 0.9957 +2023-12-25 01:02:08,359 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 01:02:08,371 - pyskl - INFO - +mean_acc 0.8874 +2023-12-25 01:02:08,378 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_98.pth was removed +2023-12-25 01:02:08,552 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. +2023-12-25 01:02:08,553 - pyskl - INFO - Best top1_acc is 0.9160 at 99 epoch. +2023-12-25 01:02:08,555 - pyskl - INFO - Epoch(val) [99][533] top1_acc: 0.9160, top5_acc: 0.9957, mean_class_accuracy: 0.8874 +2023-12-25 01:03:07,822 - pyskl - INFO - Epoch [100][100/1281] lr: 6.460e-03, eta: 7:12:29, time: 0.593, data_time: 0.169, memory: 4120, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.5412, loss: 0.5412 +2023-12-25 01:03:50,392 - pyskl - INFO - Epoch [100][200/1281] lr: 6.442e-03, eta: 7:11:51, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.5219, loss: 0.5219 +2023-12-25 01:04:32,814 - pyskl - INFO - Epoch [100][300/1281] lr: 6.425e-03, eta: 7:11:12, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.5190, loss: 0.5190 +2023-12-25 01:05:10,114 - pyskl - INFO - Epoch [100][400/1281] lr: 6.407e-03, eta: 7:10:31, time: 0.373, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.5381, loss: 0.5381 +2023-12-25 01:05:40,562 - pyskl - INFO - Epoch [100][500/1281] lr: 6.389e-03, eta: 7:09:47, time: 0.304, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 0.5701, loss: 0.5701 +2023-12-25 01:06:20,506 - pyskl - INFO - Epoch [100][600/1281] lr: 6.371e-03, eta: 7:09:07, time: 0.399, data_time: 0.000, memory: 4120, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.5429, loss: 0.5429 +2023-12-25 01:06:46,776 - pyskl - INFO - Epoch [100][700/1281] lr: 6.353e-03, eta: 7:08:20, time: 0.263, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.5056, loss: 0.5056 +2023-12-25 01:07:29,295 - pyskl - INFO - Epoch [100][800/1281] lr: 6.336e-03, eta: 7:07:42, time: 0.425, data_time: 0.001, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.5184, loss: 0.5184 +2023-12-25 01:08:11,803 - pyskl - INFO - Epoch [100][900/1281] lr: 6.318e-03, eta: 7:07:04, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.5196, loss: 0.5196 +2023-12-25 01:08:54,221 - pyskl - INFO - Epoch [100][1000/1281] lr: 6.300e-03, eta: 7:06:25, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.5423, loss: 0.5423 +2023-12-25 01:09:35,797 - pyskl - INFO - Epoch [100][1100/1281] lr: 6.282e-03, eta: 7:05:46, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.5135, loss: 0.5135 +2023-12-25 01:10:17,399 - pyskl - INFO - Epoch [100][1200/1281] lr: 6.265e-03, eta: 7:05:07, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.5577, loss: 0.5577 +2023-12-25 01:10:51,658 - pyskl - INFO - Saving checkpoint at 100 epochs +2023-12-25 01:12:03,361 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 01:12:03,444 - pyskl - INFO - +top1_acc 0.8993 +top5_acc 0.9931 +2023-12-25 01:12:03,445 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 01:12:03,453 - pyskl - INFO - +mean_acc 0.8743 +2023-12-25 01:12:03,456 - pyskl - INFO - Epoch(val) [100][533] top1_acc: 0.8993, top5_acc: 0.9931, mean_class_accuracy: 0.8743 +2023-12-25 01:13:01,670 - pyskl - INFO - Epoch [101][100/1281] lr: 6.232e-03, eta: 7:03:49, time: 0.582, data_time: 0.165, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.5169, loss: 0.5169 +2023-12-25 01:13:43,240 - pyskl - INFO - Epoch [101][200/1281] lr: 6.215e-03, eta: 7:03:10, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.5397, loss: 0.5397 +2023-12-25 01:14:24,842 - pyskl - INFO - Epoch [101][300/1281] lr: 6.197e-03, eta: 7:02:31, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.5534, loss: 0.5534 +2023-12-25 01:15:02,608 - pyskl - INFO - Epoch [101][400/1281] lr: 6.180e-03, eta: 7:01:50, time: 0.378, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.5478, loss: 0.5478 +2023-12-25 01:15:31,973 - pyskl - INFO - Epoch [101][500/1281] lr: 6.162e-03, eta: 7:01:05, time: 0.294, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.5165, loss: 0.5165 +2023-12-25 01:16:13,142 - pyskl - INFO - Epoch [101][600/1281] lr: 6.144e-03, eta: 7:00:26, time: 0.412, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.5059, loss: 0.5059 +2023-12-25 01:16:39,052 - pyskl - INFO - Epoch [101][700/1281] lr: 6.127e-03, eta: 6:59:40, time: 0.259, data_time: 0.001, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.5114, loss: 0.5114 +2023-12-25 01:17:20,589 - pyskl - INFO - Epoch [101][800/1281] lr: 6.109e-03, eta: 6:59:01, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.5315, loss: 0.5315 +2023-12-25 01:18:02,230 - pyskl - INFO - Epoch [101][900/1281] lr: 6.092e-03, eta: 6:58:22, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.5088, loss: 0.5088 +2023-12-25 01:18:43,792 - pyskl - INFO - Epoch [101][1000/1281] lr: 6.074e-03, eta: 6:57:43, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.5065, loss: 0.5065 +2023-12-25 01:19:25,367 - pyskl - INFO - Epoch [101][1100/1281] lr: 6.057e-03, eta: 6:57:04, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.5395, loss: 0.5395 +2023-12-25 01:20:07,027 - pyskl - INFO - Epoch [101][1200/1281] lr: 6.039e-03, eta: 6:56:25, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.5322, loss: 0.5322 +2023-12-25 01:20:41,264 - pyskl - INFO - Saving checkpoint at 101 epochs +2023-12-25 01:21:52,548 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 01:21:52,603 - pyskl - INFO - +top1_acc 0.9125 +top5_acc 0.9946 +2023-12-25 01:21:52,603 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 01:21:52,610 - pyskl - INFO - +mean_acc 0.8802 +2023-12-25 01:21:52,612 - pyskl - INFO - Epoch(val) [101][533] top1_acc: 0.9125, top5_acc: 0.9946, mean_class_accuracy: 0.8802 +2023-12-25 01:22:51,735 - pyskl - INFO - Epoch [102][100/1281] lr: 6.007e-03, eta: 6:55:07, time: 0.591, data_time: 0.168, memory: 4120, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.5210, loss: 0.5210 +2023-12-25 01:23:34,165 - pyskl - INFO - Epoch [102][200/1281] lr: 5.990e-03, eta: 6:54:29, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.5007, loss: 0.5007 +2023-12-25 01:24:16,564 - pyskl - INFO - Epoch [102][300/1281] lr: 5.972e-03, eta: 6:53:50, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.5393, loss: 0.5393 +2023-12-25 01:24:55,938 - pyskl - INFO - Epoch [102][400/1281] lr: 5.955e-03, eta: 6:53:10, time: 0.394, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.5110, loss: 0.5110 +2023-12-25 01:25:24,142 - pyskl - INFO - Epoch [102][500/1281] lr: 5.938e-03, eta: 6:52:25, time: 0.282, data_time: 0.000, memory: 4120, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.5252, loss: 0.5252 +2023-12-25 01:26:06,429 - pyskl - INFO - Epoch [102][600/1281] lr: 5.920e-03, eta: 6:51:46, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.4935, loss: 0.4935 +2023-12-25 01:26:30,335 - pyskl - INFO - Epoch [102][700/1281] lr: 5.903e-03, eta: 6:50:59, time: 0.239, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.5034, loss: 0.5034 +2023-12-25 01:27:12,042 - pyskl - INFO - Epoch [102][800/1281] lr: 5.886e-03, eta: 6:50:20, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.5173, loss: 0.5173 +2023-12-25 01:27:53,515 - pyskl - INFO - Epoch [102][900/1281] lr: 5.868e-03, eta: 6:49:41, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.4981, loss: 0.4981 +2023-12-25 01:28:35,091 - pyskl - INFO - Epoch [102][1000/1281] lr: 5.851e-03, eta: 6:49:03, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.5137, loss: 0.5137 +2023-12-25 01:29:16,673 - pyskl - INFO - Epoch [102][1100/1281] lr: 5.834e-03, eta: 6:48:24, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.4907, loss: 0.4907 +2023-12-25 01:29:58,207 - pyskl - INFO - Epoch [102][1200/1281] lr: 5.816e-03, eta: 6:47:45, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 0.5503, loss: 0.5503 +2023-12-25 01:30:32,322 - pyskl - INFO - Saving checkpoint at 102 epochs +2023-12-25 01:31:43,595 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 01:31:43,657 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9941 +2023-12-25 01:31:43,657 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 01:31:43,667 - pyskl - INFO - +mean_acc 0.8917 +2023-12-25 01:31:43,676 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_99.pth was removed +2023-12-25 01:31:43,863 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth. +2023-12-25 01:31:43,863 - pyskl - INFO - Best top1_acc is 0.9216 at 102 epoch. +2023-12-25 01:31:43,866 - pyskl - INFO - Epoch(val) [102][533] top1_acc: 0.9216, top5_acc: 0.9941, mean_class_accuracy: 0.8917 +2023-12-25 01:32:42,408 - pyskl - INFO - Epoch [103][100/1281] lr: 5.785e-03, eta: 6:46:27, time: 0.585, data_time: 0.170, memory: 4120, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.5644, loss: 0.5644 +2023-12-25 01:33:24,067 - pyskl - INFO - Epoch [103][200/1281] lr: 5.768e-03, eta: 6:45:48, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.5347, loss: 0.5347 +2023-12-25 01:34:05,729 - pyskl - INFO - Epoch [103][300/1281] lr: 5.751e-03, eta: 6:45:09, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.5295, loss: 0.5295 +2023-12-25 01:34:45,680 - pyskl - INFO - Epoch [103][400/1281] lr: 5.733e-03, eta: 6:44:29, time: 0.400, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.5067, loss: 0.5067 +2023-12-25 01:35:12,103 - pyskl - INFO - Epoch [103][500/1281] lr: 5.716e-03, eta: 6:43:43, time: 0.264, data_time: 0.000, memory: 4120, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.5101, loss: 0.5101 +2023-12-25 01:35:55,913 - pyskl - INFO - Epoch [103][600/1281] lr: 5.699e-03, eta: 6:43:06, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.5478, loss: 0.5478 +2023-12-25 01:36:18,435 - pyskl - INFO - Epoch [103][700/1281] lr: 5.682e-03, eta: 6:42:18, time: 0.225, data_time: 0.000, memory: 4120, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.5292, loss: 0.5292 +2023-12-25 01:36:59,872 - pyskl - INFO - Epoch [103][800/1281] lr: 5.665e-03, eta: 6:41:39, time: 0.414, data_time: 0.000, memory: 4120, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.5380, loss: 0.5380 +2023-12-25 01:37:41,535 - pyskl - INFO - Epoch [103][900/1281] lr: 5.648e-03, eta: 6:41:00, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.5203, loss: 0.5203 +2023-12-25 01:38:23,106 - pyskl - INFO - Epoch [103][1000/1281] lr: 5.631e-03, eta: 6:40:21, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.5408, loss: 0.5408 +2023-12-25 01:39:05,554 - pyskl - INFO - Epoch [103][1100/1281] lr: 5.614e-03, eta: 6:39:43, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.5195, loss: 0.5195 +2023-12-25 01:39:48,031 - pyskl - INFO - Epoch [103][1200/1281] lr: 5.597e-03, eta: 6:39:04, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.5039, loss: 0.5039 +2023-12-25 01:40:22,860 - pyskl - INFO - Saving checkpoint at 103 epochs +2023-12-25 01:41:34,194 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 01:41:34,250 - pyskl - INFO - +top1_acc 0.9150 +top5_acc 0.9942 +2023-12-25 01:41:34,250 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 01:41:34,258 - pyskl - INFO - +mean_acc 0.8806 +2023-12-25 01:41:34,260 - pyskl - INFO - Epoch(val) [103][533] top1_acc: 0.9150, top5_acc: 0.9942, mean_class_accuracy: 0.8806 +2023-12-25 01:42:32,913 - pyskl - INFO - Epoch [104][100/1281] lr: 5.566e-03, eta: 6:37:47, time: 0.586, data_time: 0.171, memory: 4120, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.5222, loss: 0.5222 +2023-12-25 01:43:14,609 - pyskl - INFO - Epoch [104][200/1281] lr: 5.549e-03, eta: 6:37:08, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.4732, loss: 0.4732 +2023-12-25 01:43:56,162 - pyskl - INFO - Epoch [104][300/1281] lr: 5.532e-03, eta: 6:36:29, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.4760, loss: 0.4760 +2023-12-25 01:44:37,685 - pyskl - INFO - Epoch [104][400/1281] lr: 5.515e-03, eta: 6:35:50, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.5030, loss: 0.5030 +2023-12-25 01:45:02,357 - pyskl - INFO - Epoch [104][500/1281] lr: 5.498e-03, eta: 6:35:03, time: 0.247, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.4866, loss: 0.4866 +2023-12-25 01:45:46,229 - pyskl - INFO - Epoch [104][600/1281] lr: 5.481e-03, eta: 6:34:26, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.4854, loss: 0.4854 +2023-12-25 01:46:09,504 - pyskl - INFO - Epoch [104][700/1281] lr: 5.464e-03, eta: 6:33:39, time: 0.233, data_time: 0.000, memory: 4120, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.5462, loss: 0.5462 +2023-12-25 01:46:52,010 - pyskl - INFO - Epoch [104][800/1281] lr: 5.447e-03, eta: 6:33:00, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.5419, loss: 0.5419 +2023-12-25 01:47:34,481 - pyskl - INFO - Epoch [104][900/1281] lr: 5.430e-03, eta: 6:32:22, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.4991, loss: 0.4991 +2023-12-25 01:48:17,097 - pyskl - INFO - Epoch [104][1000/1281] lr: 5.413e-03, eta: 6:31:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.5217, loss: 0.5217 +2023-12-25 01:48:59,575 - pyskl - INFO - Epoch [104][1100/1281] lr: 5.397e-03, eta: 6:31:05, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.5216, loss: 0.5216 +2023-12-25 01:49:41,154 - pyskl - INFO - Epoch [104][1200/1281] lr: 5.380e-03, eta: 6:30:26, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.5216, loss: 0.5216 +2023-12-25 01:50:15,445 - pyskl - INFO - Saving checkpoint at 104 epochs +2023-12-25 01:51:27,209 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 01:51:27,267 - pyskl - INFO - +top1_acc 0.9135 +top5_acc 0.9940 +2023-12-25 01:51:27,267 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 01:51:27,275 - pyskl - INFO - +mean_acc 0.8894 +2023-12-25 01:51:27,276 - pyskl - INFO - Epoch(val) [104][533] top1_acc: 0.9135, top5_acc: 0.9940, mean_class_accuracy: 0.8894 +2023-12-25 01:52:26,632 - pyskl - INFO - Epoch [105][100/1281] lr: 5.349e-03, eta: 6:29:09, time: 0.593, data_time: 0.169, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.4953, loss: 0.4953 +2023-12-25 01:53:09,060 - pyskl - INFO - Epoch [105][200/1281] lr: 5.333e-03, eta: 6:28:30, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.5434, loss: 0.5434 +2023-12-25 01:53:51,553 - pyskl - INFO - Epoch [105][300/1281] lr: 5.316e-03, eta: 6:27:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.4788, loss: 0.4788 +2023-12-25 01:54:34,043 - pyskl - INFO - Epoch [105][400/1281] lr: 5.299e-03, eta: 6:27:13, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.5244, loss: 0.5244 +2023-12-25 01:54:58,953 - pyskl - INFO - Epoch [105][500/1281] lr: 5.283e-03, eta: 6:26:27, time: 0.249, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.5139, loss: 0.5139 +2023-12-25 01:55:42,794 - pyskl - INFO - Epoch [105][600/1281] lr: 5.266e-03, eta: 6:25:49, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.4945, loss: 0.4945 +2023-12-25 01:56:05,655 - pyskl - INFO - Epoch [105][700/1281] lr: 5.249e-03, eta: 6:25:02, time: 0.229, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.4850, loss: 0.4850 +2023-12-25 01:56:46,873 - pyskl - INFO - Epoch [105][800/1281] lr: 5.233e-03, eta: 6:24:23, time: 0.412, data_time: 0.000, memory: 4120, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.5045, loss: 0.5045 +2023-12-25 01:57:28,500 - pyskl - INFO - Epoch [105][900/1281] lr: 5.216e-03, eta: 6:23:44, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.4822, loss: 0.4822 +2023-12-25 01:58:10,164 - pyskl - INFO - Epoch [105][1000/1281] lr: 5.199e-03, eta: 6:23:05, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.5121, loss: 0.5121 +2023-12-25 01:58:51,735 - pyskl - INFO - Epoch [105][1100/1281] lr: 5.183e-03, eta: 6:22:27, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.5044, loss: 0.5044 +2023-12-25 01:59:33,311 - pyskl - INFO - Epoch [105][1200/1281] lr: 5.166e-03, eta: 6:21:48, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.5003, loss: 0.5003 +2023-12-25 02:00:07,484 - pyskl - INFO - Saving checkpoint at 105 epochs +2023-12-25 02:01:19,511 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:01:19,573 - pyskl - INFO - +top1_acc 0.9134 +top5_acc 0.9919 +2023-12-25 02:01:19,574 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:01:19,582 - pyskl - INFO - +mean_acc 0.8852 +2023-12-25 02:01:19,585 - pyskl - INFO - Epoch(val) [105][533] top1_acc: 0.9134, top5_acc: 0.9919, mean_class_accuracy: 0.8852 +2023-12-25 02:02:19,158 - pyskl - INFO - Epoch [106][100/1281] lr: 5.136e-03, eta: 6:20:31, time: 0.596, data_time: 0.171, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.4868, loss: 0.4868 +2023-12-25 02:03:01,647 - pyskl - INFO - Epoch [106][200/1281] lr: 5.120e-03, eta: 6:19:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.4655, loss: 0.4655 +2023-12-25 02:03:44,147 - pyskl - INFO - Epoch [106][300/1281] lr: 5.103e-03, eta: 6:19:14, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.4509, loss: 0.4509 +2023-12-25 02:04:26,562 - pyskl - INFO - Epoch [106][400/1281] lr: 5.087e-03, eta: 6:18:35, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.4756, loss: 0.4756 +2023-12-25 02:04:51,062 - pyskl - INFO - Epoch [106][500/1281] lr: 5.070e-03, eta: 6:17:49, time: 0.245, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.4631, loss: 0.4631 +2023-12-25 02:05:35,086 - pyskl - INFO - Epoch [106][600/1281] lr: 5.054e-03, eta: 6:17:11, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.5000, loss: 0.5000 +2023-12-25 02:05:58,934 - pyskl - INFO - Epoch [106][700/1281] lr: 5.038e-03, eta: 6:16:25, time: 0.238, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.4816, loss: 0.4816 +2023-12-25 02:06:39,463 - pyskl - INFO - Epoch [106][800/1281] lr: 5.021e-03, eta: 6:15:46, time: 0.405, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.4828, loss: 0.4828 +2023-12-25 02:07:20,945 - pyskl - INFO - Epoch [106][900/1281] lr: 5.005e-03, eta: 6:15:07, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.4743, loss: 0.4743 +2023-12-25 02:08:02,639 - pyskl - INFO - Epoch [106][1000/1281] lr: 4.988e-03, eta: 6:14:28, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.4799, loss: 0.4799 +2023-12-25 02:08:44,210 - pyskl - INFO - Epoch [106][1100/1281] lr: 4.972e-03, eta: 6:13:49, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.4681, loss: 0.4681 +2023-12-25 02:09:25,983 - pyskl - INFO - Epoch [106][1200/1281] lr: 4.956e-03, eta: 6:13:10, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4583, loss: 0.4583 +2023-12-25 02:10:00,117 - pyskl - INFO - Saving checkpoint at 106 epochs +2023-12-25 02:11:12,007 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:11:12,070 - pyskl - INFO - +top1_acc 0.9120 +top5_acc 0.9939 +2023-12-25 02:11:12,071 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:11:12,079 - pyskl - INFO - +mean_acc 0.8858 +2023-12-25 02:11:12,082 - pyskl - INFO - Epoch(val) [106][533] top1_acc: 0.9120, top5_acc: 0.9939, mean_class_accuracy: 0.8858 +2023-12-25 02:12:11,362 - pyskl - INFO - Epoch [107][100/1281] lr: 4.926e-03, eta: 6:11:53, time: 0.593, data_time: 0.168, memory: 4120, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.4987, loss: 0.4987 +2023-12-25 02:12:53,959 - pyskl - INFO - Epoch [107][200/1281] lr: 4.910e-03, eta: 6:11:15, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.4721, loss: 0.4721 +2023-12-25 02:13:36,495 - pyskl - INFO - Epoch [107][300/1281] lr: 4.894e-03, eta: 6:10:36, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.4658, loss: 0.4658 +2023-12-25 02:14:19,026 - pyskl - INFO - Epoch [107][400/1281] lr: 4.878e-03, eta: 6:09:58, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.5000, loss: 0.5000 +2023-12-25 02:14:43,354 - pyskl - INFO - Epoch [107][500/1281] lr: 4.862e-03, eta: 6:09:12, time: 0.243, data_time: 0.000, memory: 4120, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.5020, loss: 0.5020 +2023-12-25 02:15:27,430 - pyskl - INFO - Epoch [107][600/1281] lr: 4.845e-03, eta: 6:08:34, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4645, loss: 0.4645 +2023-12-25 02:15:52,861 - pyskl - INFO - Epoch [107][700/1281] lr: 4.829e-03, eta: 6:07:49, time: 0.254, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.4759, loss: 0.4759 +2023-12-25 02:16:31,568 - pyskl - INFO - Epoch [107][800/1281] lr: 4.813e-03, eta: 6:07:09, time: 0.387, data_time: 0.000, memory: 4120, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.4903, loss: 0.4903 +2023-12-25 02:17:13,258 - pyskl - INFO - Epoch [107][900/1281] lr: 4.797e-03, eta: 6:06:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.4719, loss: 0.4719 +2023-12-25 02:17:54,922 - pyskl - INFO - Epoch [107][1000/1281] lr: 4.781e-03, eta: 6:05:51, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.4673, loss: 0.4673 +2023-12-25 02:18:36,597 - pyskl - INFO - Epoch [107][1100/1281] lr: 4.765e-03, eta: 6:05:12, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.4511, loss: 0.4511 +2023-12-25 02:19:18,341 - pyskl - INFO - Epoch [107][1200/1281] lr: 4.749e-03, eta: 6:04:33, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.4701, loss: 0.4701 +2023-12-25 02:19:52,532 - pyskl - INFO - Saving checkpoint at 107 epochs +2023-12-25 02:21:03,805 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:21:03,862 - pyskl - INFO - +top1_acc 0.9220 +top5_acc 0.9946 +2023-12-25 02:21:03,862 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:21:03,869 - pyskl - INFO - +mean_acc 0.8983 +2023-12-25 02:21:03,873 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_102.pth was removed +2023-12-25 02:21:04,046 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. +2023-12-25 02:21:04,047 - pyskl - INFO - Best top1_acc is 0.9220 at 107 epoch. +2023-12-25 02:21:04,050 - pyskl - INFO - Epoch(val) [107][533] top1_acc: 0.9220, top5_acc: 0.9946, mean_class_accuracy: 0.8983 +2023-12-25 02:22:03,808 - pyskl - INFO - Epoch [108][100/1281] lr: 4.720e-03, eta: 6:03:17, time: 0.598, data_time: 0.173, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.4715, loss: 0.4715 +2023-12-25 02:22:46,309 - pyskl - INFO - Epoch [108][200/1281] lr: 4.704e-03, eta: 6:02:38, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.4592, loss: 0.4592 +2023-12-25 02:23:28,780 - pyskl - INFO - Epoch [108][300/1281] lr: 4.688e-03, eta: 6:02:00, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.4397, loss: 0.4397 +2023-12-25 02:24:11,397 - pyskl - INFO - Epoch [108][400/1281] lr: 4.672e-03, eta: 6:01:21, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.4742, loss: 0.4742 +2023-12-25 02:24:36,290 - pyskl - INFO - Epoch [108][500/1281] lr: 4.656e-03, eta: 6:00:36, time: 0.249, data_time: 0.000, memory: 4120, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.4871, loss: 0.4871 +2023-12-25 02:25:19,504 - pyskl - INFO - Epoch [108][600/1281] lr: 4.640e-03, eta: 5:59:57, time: 0.432, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.4654, loss: 0.4654 +2023-12-25 02:25:46,773 - pyskl - INFO - Epoch [108][700/1281] lr: 4.624e-03, eta: 5:59:13, time: 0.273, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.4689, loss: 0.4689 +2023-12-25 02:26:24,560 - pyskl - INFO - Epoch [108][800/1281] lr: 4.608e-03, eta: 5:58:33, time: 0.378, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.4698, loss: 0.4698 +2023-12-25 02:27:06,156 - pyskl - INFO - Epoch [108][900/1281] lr: 4.593e-03, eta: 5:57:54, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.4567, loss: 0.4567 +2023-12-25 02:27:47,817 - pyskl - INFO - Epoch [108][1000/1281] lr: 4.577e-03, eta: 5:57:15, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.4817, loss: 0.4817 +2023-12-25 02:28:29,385 - pyskl - INFO - Epoch [108][1100/1281] lr: 4.561e-03, eta: 5:56:36, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.4488, loss: 0.4488 +2023-12-25 02:29:10,910 - pyskl - INFO - Epoch [108][1200/1281] lr: 4.545e-03, eta: 5:55:57, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.4743, loss: 0.4743 +2023-12-25 02:29:45,187 - pyskl - INFO - Saving checkpoint at 108 epochs +2023-12-25 02:30:56,795 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:30:56,849 - pyskl - INFO - +top1_acc 0.9190 +top5_acc 0.9951 +2023-12-25 02:30:56,850 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:30:56,856 - pyskl - INFO - +mean_acc 0.8988 +2023-12-25 02:30:56,857 - pyskl - INFO - Epoch(val) [108][533] top1_acc: 0.9190, top5_acc: 0.9951, mean_class_accuracy: 0.8988 +2023-12-25 02:31:55,904 - pyskl - INFO - Epoch [109][100/1281] lr: 4.517e-03, eta: 5:54:40, time: 0.590, data_time: 0.166, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.4331, loss: 0.4331 +2023-12-25 02:32:38,413 - pyskl - INFO - Epoch [109][200/1281] lr: 4.501e-03, eta: 5:54:02, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.4420, loss: 0.4420 +2023-12-25 02:33:20,889 - pyskl - INFO - Epoch [109][300/1281] lr: 4.485e-03, eta: 5:53:23, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4474, loss: 0.4474 +2023-12-25 02:34:03,344 - pyskl - INFO - Epoch [109][400/1281] lr: 4.470e-03, eta: 5:52:45, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.4390, loss: 0.4390 +2023-12-25 02:34:29,708 - pyskl - INFO - Epoch [109][500/1281] lr: 4.454e-03, eta: 5:52:00, time: 0.264, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.4564, loss: 0.4564 +2023-12-25 02:35:12,069 - pyskl - INFO - Epoch [109][600/1281] lr: 4.438e-03, eta: 5:51:22, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.4833, loss: 0.4833 +2023-12-25 02:35:40,324 - pyskl - INFO - Epoch [109][700/1281] lr: 4.423e-03, eta: 5:50:38, time: 0.283, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4470, loss: 0.4470 +2023-12-25 02:36:17,598 - pyskl - INFO - Epoch [109][800/1281] lr: 4.407e-03, eta: 5:49:57, time: 0.373, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.4614, loss: 0.4614 +2023-12-25 02:37:00,007 - pyskl - INFO - Epoch [109][900/1281] lr: 4.391e-03, eta: 5:49:18, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.4599, loss: 0.4599 +2023-12-25 02:37:42,516 - pyskl - INFO - Epoch [109][1000/1281] lr: 4.376e-03, eta: 5:48:40, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.4556, loss: 0.4556 +2023-12-25 02:38:24,956 - pyskl - INFO - Epoch [109][1100/1281] lr: 4.360e-03, eta: 5:48:01, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.4552, loss: 0.4552 +2023-12-25 02:39:07,474 - pyskl - INFO - Epoch [109][1200/1281] lr: 4.345e-03, eta: 5:47:23, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.4710, loss: 0.4710 +2023-12-25 02:39:42,363 - pyskl - INFO - Saving checkpoint at 109 epochs +2023-12-25 02:40:54,222 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:40:54,285 - pyskl - INFO - +top1_acc 0.9208 +top5_acc 0.9940 +2023-12-25 02:40:54,285 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:40:54,294 - pyskl - INFO - +mean_acc 0.8930 +2023-12-25 02:40:54,296 - pyskl - INFO - Epoch(val) [109][533] top1_acc: 0.9208, top5_acc: 0.9940, mean_class_accuracy: 0.8930 +2023-12-25 02:41:53,605 - pyskl - INFO - Epoch [110][100/1281] lr: 4.317e-03, eta: 5:46:06, time: 0.593, data_time: 0.171, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.4401, loss: 0.4401 +2023-12-25 02:42:36,208 - pyskl - INFO - Epoch [110][200/1281] lr: 4.301e-03, eta: 5:45:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.4202, loss: 0.4202 +2023-12-25 02:43:18,657 - pyskl - INFO - Epoch [110][300/1281] lr: 4.286e-03, eta: 5:44:49, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.4396, loss: 0.4396 +2023-12-25 02:44:01,217 - pyskl - INFO - Epoch [110][400/1281] lr: 4.271e-03, eta: 5:44:11, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.4464, loss: 0.4464 +2023-12-25 02:44:28,241 - pyskl - INFO - Epoch [110][500/1281] lr: 4.255e-03, eta: 5:43:27, time: 0.270, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.4345, loss: 0.4345 +2023-12-25 02:45:09,755 - pyskl - INFO - Epoch [110][600/1281] lr: 4.240e-03, eta: 5:42:48, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.4207, loss: 0.4207 +2023-12-25 02:45:38,795 - pyskl - INFO - Epoch [110][700/1281] lr: 4.225e-03, eta: 5:42:04, time: 0.290, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.4751, loss: 0.4751 +2023-12-25 02:46:15,773 - pyskl - INFO - Epoch [110][800/1281] lr: 4.209e-03, eta: 5:41:24, time: 0.370, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.4593, loss: 0.4593 +2023-12-25 02:46:58,302 - pyskl - INFO - Epoch [110][900/1281] lr: 4.194e-03, eta: 5:40:45, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.4487, loss: 0.4487 +2023-12-25 02:47:40,813 - pyskl - INFO - Epoch [110][1000/1281] lr: 4.179e-03, eta: 5:40:07, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.4443, loss: 0.4443 +2023-12-25 02:48:23,358 - pyskl - INFO - Epoch [110][1100/1281] lr: 4.164e-03, eta: 5:39:28, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.4383, loss: 0.4383 +2023-12-25 02:49:04,850 - pyskl - INFO - Epoch [110][1200/1281] lr: 4.148e-03, eta: 5:38:49, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.4681, loss: 0.4681 +2023-12-25 02:49:39,178 - pyskl - INFO - Saving checkpoint at 110 epochs +2023-12-25 02:50:51,170 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:50:51,237 - pyskl - INFO - +top1_acc 0.9152 +top5_acc 0.9950 +2023-12-25 02:50:51,237 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:50:51,245 - pyskl - INFO - +mean_acc 0.8857 +2023-12-25 02:50:51,247 - pyskl - INFO - Epoch(val) [110][533] top1_acc: 0.9152, top5_acc: 0.9950, mean_class_accuracy: 0.8857 +2023-12-25 02:51:51,452 - pyskl - INFO - Epoch [111][100/1281] lr: 4.121e-03, eta: 5:37:33, time: 0.602, data_time: 0.176, memory: 4120, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.4676, loss: 0.4676 +2023-12-25 02:52:33,977 - pyskl - INFO - Epoch [111][200/1281] lr: 4.106e-03, eta: 5:36:55, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.4648, loss: 0.4648 +2023-12-25 02:53:16,376 - pyskl - INFO - Epoch [111][300/1281] lr: 4.091e-03, eta: 5:36:16, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.4549, loss: 0.4549 +2023-12-25 02:53:58,821 - pyskl - INFO - Epoch [111][400/1281] lr: 4.075e-03, eta: 5:35:37, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.4236, loss: 0.4236 +2023-12-25 02:54:25,647 - pyskl - INFO - Epoch [111][500/1281] lr: 4.060e-03, eta: 5:34:53, time: 0.268, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.4431, loss: 0.4431 +2023-12-25 02:55:07,700 - pyskl - INFO - Epoch [111][600/1281] lr: 4.045e-03, eta: 5:34:15, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4597, loss: 0.4597 +2023-12-25 02:55:35,977 - pyskl - INFO - Epoch [111][700/1281] lr: 4.030e-03, eta: 5:33:31, time: 0.283, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.4543, loss: 0.4543 +2023-12-25 02:56:13,392 - pyskl - INFO - Epoch [111][800/1281] lr: 4.015e-03, eta: 5:32:51, time: 0.374, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.4335, loss: 0.4335 +2023-12-25 02:56:55,927 - pyskl - INFO - Epoch [111][900/1281] lr: 4.000e-03, eta: 5:32:12, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.4332, loss: 0.4332 +2023-12-25 02:57:38,457 - pyskl - INFO - Epoch [111][1000/1281] lr: 3.985e-03, eta: 5:31:33, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.4398, loss: 0.4398 +2023-12-25 02:58:20,954 - pyskl - INFO - Epoch [111][1100/1281] lr: 3.970e-03, eta: 5:30:55, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.4426, loss: 0.4426 +2023-12-25 02:59:03,400 - pyskl - INFO - Epoch [111][1200/1281] lr: 3.955e-03, eta: 5:30:16, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4403, loss: 0.4403 +2023-12-25 02:59:38,265 - pyskl - INFO - Saving checkpoint at 111 epochs +2023-12-25 03:00:50,329 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:00:50,390 - pyskl - INFO - +top1_acc 0.9282 +top5_acc 0.9965 +2023-12-25 03:00:50,390 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:00:50,398 - pyskl - INFO - +mean_acc 0.8982 +2023-12-25 03:00:50,402 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_107.pth was removed +2023-12-25 03:00:50,573 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2023-12-25 03:00:50,573 - pyskl - INFO - Best top1_acc is 0.9282 at 111 epoch. +2023-12-25 03:00:50,576 - pyskl - INFO - Epoch(val) [111][533] top1_acc: 0.9282, top5_acc: 0.9965, mean_class_accuracy: 0.8982 +2023-12-25 03:01:49,635 - pyskl - INFO - Epoch [112][100/1281] lr: 3.928e-03, eta: 5:29:00, time: 0.591, data_time: 0.174, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4425, loss: 0.4425 +2023-12-25 03:02:31,323 - pyskl - INFO - Epoch [112][200/1281] lr: 3.914e-03, eta: 5:28:21, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.4163, loss: 0.4163 +2023-12-25 03:03:12,909 - pyskl - INFO - Epoch [112][300/1281] lr: 3.899e-03, eta: 5:27:42, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.4366, loss: 0.4366 +2023-12-25 03:03:54,630 - pyskl - INFO - Epoch [112][400/1281] lr: 3.884e-03, eta: 5:27:04, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.4254, loss: 0.4254 +2023-12-25 03:04:20,920 - pyskl - INFO - Epoch [112][500/1281] lr: 3.869e-03, eta: 5:26:19, time: 0.263, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.4364, loss: 0.4364 +2023-12-25 03:05:02,664 - pyskl - INFO - Epoch [112][600/1281] lr: 3.854e-03, eta: 5:25:40, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.4339, loss: 0.4339 +2023-12-25 03:05:31,210 - pyskl - INFO - Epoch [112][700/1281] lr: 3.840e-03, eta: 5:24:57, time: 0.285, data_time: 0.000, memory: 4120, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.4533, loss: 0.4533 +2023-12-25 03:06:07,894 - pyskl - INFO - Epoch [112][800/1281] lr: 3.825e-03, eta: 5:24:16, time: 0.367, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.4347, loss: 0.4347 +2023-12-25 03:06:49,453 - pyskl - INFO - Epoch [112][900/1281] lr: 3.810e-03, eta: 5:23:38, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.4195, loss: 0.4195 +2023-12-25 03:07:31,036 - pyskl - INFO - Epoch [112][1000/1281] lr: 3.795e-03, eta: 5:22:59, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.4493, loss: 0.4493 +2023-12-25 03:08:12,699 - pyskl - INFO - Epoch [112][1100/1281] lr: 3.781e-03, eta: 5:22:20, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.4339, loss: 0.4339 +2023-12-25 03:08:54,370 - pyskl - INFO - Epoch [112][1200/1281] lr: 3.766e-03, eta: 5:21:41, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.4381, loss: 0.4381 +2023-12-25 03:09:28,535 - pyskl - INFO - Saving checkpoint at 112 epochs +2023-12-25 03:10:40,762 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:10:40,822 - pyskl - INFO - +top1_acc 0.9184 +top5_acc 0.9940 +2023-12-25 03:10:40,822 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:10:40,829 - pyskl - INFO - +mean_acc 0.8897 +2023-12-25 03:10:40,831 - pyskl - INFO - Epoch(val) [112][533] top1_acc: 0.9184, top5_acc: 0.9940, mean_class_accuracy: 0.8897 +2023-12-25 03:11:39,173 - pyskl - INFO - Epoch [113][100/1281] lr: 3.740e-03, eta: 5:20:25, time: 0.583, data_time: 0.169, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4374, loss: 0.4374 +2023-12-25 03:12:20,775 - pyskl - INFO - Epoch [113][200/1281] lr: 3.725e-03, eta: 5:19:46, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.4133, loss: 0.4133 +2023-12-25 03:13:02,470 - pyskl - INFO - Epoch [113][300/1281] lr: 3.711e-03, eta: 5:19:07, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.4201, loss: 0.4201 +2023-12-25 03:13:44,093 - pyskl - INFO - Epoch [113][400/1281] lr: 3.696e-03, eta: 5:18:28, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.4623, loss: 0.4623 +2023-12-25 03:14:11,009 - pyskl - INFO - Epoch [113][500/1281] lr: 3.682e-03, eta: 5:17:44, time: 0.269, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.4296, loss: 0.4296 +2023-12-25 03:14:52,540 - pyskl - INFO - Epoch [113][600/1281] lr: 3.667e-03, eta: 5:17:05, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.4275, loss: 0.4275 +2023-12-25 03:15:21,367 - pyskl - INFO - Epoch [113][700/1281] lr: 3.653e-03, eta: 5:16:22, time: 0.288, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.4315, loss: 0.4315 +2023-12-25 03:15:57,616 - pyskl - INFO - Epoch [113][800/1281] lr: 3.638e-03, eta: 5:15:42, time: 0.362, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.4339, loss: 0.4339 +2023-12-25 03:16:39,110 - pyskl - INFO - Epoch [113][900/1281] lr: 3.624e-03, eta: 5:15:03, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.4293, loss: 0.4293 +2023-12-25 03:17:20,736 - pyskl - INFO - Epoch [113][1000/1281] lr: 3.610e-03, eta: 5:14:24, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4404, loss: 0.4404 +2023-12-25 03:18:02,266 - pyskl - INFO - Epoch [113][1100/1281] lr: 3.595e-03, eta: 5:13:45, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.4277, loss: 0.4277 +2023-12-25 03:18:43,988 - pyskl - INFO - Epoch [113][1200/1281] lr: 3.581e-03, eta: 5:13:06, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.4531, loss: 0.4531 +2023-12-25 03:19:18,272 - pyskl - INFO - Saving checkpoint at 113 epochs +2023-12-25 03:20:29,868 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:20:29,923 - pyskl - INFO - +top1_acc 0.9234 +top5_acc 0.9937 +2023-12-25 03:20:29,923 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:20:29,929 - pyskl - INFO - +mean_acc 0.8948 +2023-12-25 03:20:29,931 - pyskl - INFO - Epoch(val) [113][533] top1_acc: 0.9234, top5_acc: 0.9937, mean_class_accuracy: 0.8948 +2023-12-25 03:21:28,379 - pyskl - INFO - Epoch [114][100/1281] lr: 3.555e-03, eta: 5:11:50, time: 0.584, data_time: 0.170, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.4408, loss: 0.4408 +2023-12-25 03:22:10,289 - pyskl - INFO - Epoch [114][200/1281] lr: 3.541e-03, eta: 5:11:11, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4542, loss: 0.4542 +2023-12-25 03:22:52,813 - pyskl - INFO - Epoch [114][300/1281] lr: 3.526e-03, eta: 5:10:33, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.4211, loss: 0.4211 +2023-12-25 03:23:35,255 - pyskl - INFO - Epoch [114][400/1281] lr: 3.512e-03, eta: 5:09:54, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.4086, loss: 0.4086 +2023-12-25 03:24:03,221 - pyskl - INFO - Epoch [114][500/1281] lr: 3.498e-03, eta: 5:09:11, time: 0.280, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.4112, loss: 0.4112 +2023-12-25 03:24:43,338 - pyskl - INFO - Epoch [114][600/1281] lr: 3.484e-03, eta: 5:08:31, time: 0.401, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.4318, loss: 0.4318 +2023-12-25 03:25:13,572 - pyskl - INFO - Epoch [114][700/1281] lr: 3.470e-03, eta: 5:07:49, time: 0.302, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.4205, loss: 0.4205 +2023-12-25 03:25:48,895 - pyskl - INFO - Epoch [114][800/1281] lr: 3.456e-03, eta: 5:07:08, time: 0.353, data_time: 0.000, memory: 4120, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.4490, loss: 0.4490 +2023-12-25 03:26:31,399 - pyskl - INFO - Epoch [114][900/1281] lr: 3.442e-03, eta: 5:06:29, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.4298, loss: 0.4298 +2023-12-25 03:27:13,835 - pyskl - INFO - Epoch [114][1000/1281] lr: 3.427e-03, eta: 5:05:51, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.4206, loss: 0.4206 +2023-12-25 03:27:56,230 - pyskl - INFO - Epoch [114][1100/1281] lr: 3.413e-03, eta: 5:05:12, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.4297, loss: 0.4297 +2023-12-25 03:28:38,771 - pyskl - INFO - Epoch [114][1200/1281] lr: 3.399e-03, eta: 5:04:33, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.4489, loss: 0.4489 +2023-12-25 03:29:13,779 - pyskl - INFO - Saving checkpoint at 114 epochs +2023-12-25 03:30:25,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:30:25,112 - pyskl - INFO - +top1_acc 0.9234 +top5_acc 0.9934 +2023-12-25 03:30:25,112 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:30:25,119 - pyskl - INFO - +mean_acc 0.8988 +2023-12-25 03:30:25,121 - pyskl - INFO - Epoch(val) [114][533] top1_acc: 0.9234, top5_acc: 0.9934, mean_class_accuracy: 0.8988 +2023-12-25 03:31:24,409 - pyskl - INFO - Epoch [115][100/1281] lr: 3.374e-03, eta: 5:03:18, time: 0.593, data_time: 0.168, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.4133, loss: 0.4133 +2023-12-25 03:32:06,852 - pyskl - INFO - Epoch [115][200/1281] lr: 3.360e-03, eta: 5:02:39, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.4186, loss: 0.4186 +2023-12-25 03:32:49,408 - pyskl - INFO - Epoch [115][300/1281] lr: 3.346e-03, eta: 5:02:01, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.4166, loss: 0.4166 +2023-12-25 03:33:31,960 - pyskl - INFO - Epoch [115][400/1281] lr: 3.332e-03, eta: 5:01:22, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.4256, loss: 0.4256 +2023-12-25 03:34:01,968 - pyskl - INFO - Epoch [115][500/1281] lr: 3.318e-03, eta: 5:00:40, time: 0.300, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.4284, loss: 0.4284 +2023-12-25 03:34:40,068 - pyskl - INFO - Epoch [115][600/1281] lr: 3.305e-03, eta: 5:00:00, time: 0.381, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.4233, loss: 0.4233 +2023-12-25 03:35:12,400 - pyskl - INFO - Epoch [115][700/1281] lr: 3.291e-03, eta: 4:59:18, time: 0.323, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.4165, loss: 0.4165 +2023-12-25 03:35:45,315 - pyskl - INFO - Epoch [115][800/1281] lr: 3.277e-03, eta: 4:58:36, time: 0.329, data_time: 0.000, memory: 4120, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.4411, loss: 0.4411 +2023-12-25 03:36:27,007 - pyskl - INFO - Epoch [115][900/1281] lr: 3.263e-03, eta: 4:57:57, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4488, loss: 0.4488 +2023-12-25 03:37:08,638 - pyskl - INFO - Epoch [115][1000/1281] lr: 3.249e-03, eta: 4:57:18, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.4374, loss: 0.4374 +2023-12-25 03:37:50,201 - pyskl - INFO - Epoch [115][1100/1281] lr: 3.236e-03, eta: 4:56:39, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.4245, loss: 0.4245 +2023-12-25 03:38:31,850 - pyskl - INFO - Epoch [115][1200/1281] lr: 3.222e-03, eta: 4:56:01, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.4196, loss: 0.4196 +2023-12-25 03:39:06,035 - pyskl - INFO - Saving checkpoint at 115 epochs +2023-12-25 03:40:17,691 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:40:17,760 - pyskl - INFO - +top1_acc 0.9221 +top5_acc 0.9938 +2023-12-25 03:40:17,760 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:40:17,769 - pyskl - INFO - +mean_acc 0.8992 +2023-12-25 03:40:17,771 - pyskl - INFO - Epoch(val) [115][533] top1_acc: 0.9221, top5_acc: 0.9938, mean_class_accuracy: 0.8992 +2023-12-25 03:41:17,408 - pyskl - INFO - Epoch [116][100/1281] lr: 3.197e-03, eta: 4:54:45, time: 0.596, data_time: 0.171, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.4190, loss: 0.4190 +2023-12-25 03:41:59,144 - pyskl - INFO - Epoch [116][200/1281] lr: 3.184e-03, eta: 4:54:07, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.4057, loss: 0.4057 +2023-12-25 03:42:40,924 - pyskl - INFO - Epoch [116][300/1281] lr: 3.170e-03, eta: 4:53:28, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.4076, loss: 0.4076 +2023-12-25 03:43:22,557 - pyskl - INFO - Epoch [116][400/1281] lr: 3.156e-03, eta: 4:52:49, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.4103, loss: 0.4103 +2023-12-25 03:43:53,200 - pyskl - INFO - Epoch [116][500/1281] lr: 3.143e-03, eta: 4:52:07, time: 0.306, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.4220, loss: 0.4220 +2023-12-25 03:44:30,092 - pyskl - INFO - Epoch [116][600/1281] lr: 3.129e-03, eta: 4:51:26, time: 0.369, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.4219, loss: 0.4219 +2023-12-25 03:45:03,712 - pyskl - INFO - Epoch [116][700/1281] lr: 3.116e-03, eta: 4:50:45, time: 0.336, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.3999, loss: 0.3999 +2023-12-25 03:45:35,869 - pyskl - INFO - Epoch [116][800/1281] lr: 3.102e-03, eta: 4:50:03, time: 0.322, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.4206, loss: 0.4206 +2023-12-25 03:46:17,464 - pyskl - INFO - Epoch [116][900/1281] lr: 3.089e-03, eta: 4:49:24, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.4512, loss: 0.4512 +2023-12-25 03:46:58,976 - pyskl - INFO - Epoch [116][1000/1281] lr: 3.075e-03, eta: 4:48:45, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.4206, loss: 0.4206 +2023-12-25 03:47:40,624 - pyskl - INFO - Epoch [116][1100/1281] lr: 3.062e-03, eta: 4:48:06, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.4208, loss: 0.4208 +2023-12-25 03:48:22,215 - pyskl - INFO - Epoch [116][1200/1281] lr: 3.049e-03, eta: 4:47:28, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.4306, loss: 0.4306 +2023-12-25 03:48:56,344 - pyskl - INFO - Saving checkpoint at 116 epochs +2023-12-25 03:50:07,827 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:50:07,886 - pyskl - INFO - +top1_acc 0.9250 +top5_acc 0.9955 +2023-12-25 03:50:07,886 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:50:07,897 - pyskl - INFO - +mean_acc 0.9055 +2023-12-25 03:50:07,899 - pyskl - INFO - Epoch(val) [116][533] top1_acc: 0.9250, top5_acc: 0.9955, mean_class_accuracy: 0.9055 +2023-12-25 03:51:05,681 - pyskl - INFO - Epoch [117][100/1281] lr: 3.024e-03, eta: 4:46:12, time: 0.578, data_time: 0.162, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.4203, loss: 0.4203 +2023-12-25 03:51:47,383 - pyskl - INFO - Epoch [117][200/1281] lr: 3.011e-03, eta: 4:45:33, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.4167, loss: 0.4167 +2023-12-25 03:52:28,989 - pyskl - INFO - Epoch [117][300/1281] lr: 2.998e-03, eta: 4:44:54, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.4038, loss: 0.4038 +2023-12-25 03:53:10,546 - pyskl - INFO - Epoch [117][400/1281] lr: 2.984e-03, eta: 4:44:15, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.4108, loss: 0.4108 +2023-12-25 03:53:43,162 - pyskl - INFO - Epoch [117][500/1281] lr: 2.971e-03, eta: 4:43:34, time: 0.326, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.4091, loss: 0.4091 +2023-12-25 03:54:18,254 - pyskl - INFO - Epoch [117][600/1281] lr: 2.958e-03, eta: 4:42:53, time: 0.351, data_time: 0.001, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.4110, loss: 0.4110 +2023-12-25 03:54:53,648 - pyskl - INFO - Epoch [117][700/1281] lr: 2.945e-03, eta: 4:42:12, time: 0.354, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.4171, loss: 0.4171 +2023-12-25 03:55:24,469 - pyskl - INFO - Epoch [117][800/1281] lr: 2.932e-03, eta: 4:41:30, time: 0.308, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.4047, loss: 0.4047 +2023-12-25 03:56:06,896 - pyskl - INFO - Epoch [117][900/1281] lr: 2.919e-03, eta: 4:40:52, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.4231, loss: 0.4231 +2023-12-25 03:56:49,367 - pyskl - INFO - Epoch [117][1000/1281] lr: 2.905e-03, eta: 4:40:13, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.4201, loss: 0.4201 +2023-12-25 03:57:31,868 - pyskl - INFO - Epoch [117][1100/1281] lr: 2.892e-03, eta: 4:39:34, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.4207, loss: 0.4207 +2023-12-25 03:58:14,368 - pyskl - INFO - Epoch [117][1200/1281] lr: 2.879e-03, eta: 4:38:56, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.4145, loss: 0.4145 +2023-12-25 03:58:49,160 - pyskl - INFO - Saving checkpoint at 117 epochs +2023-12-25 04:00:00,856 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:00:00,911 - pyskl - INFO - +top1_acc 0.9324 +top5_acc 0.9959 +2023-12-25 04:00:00,911 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:00:00,918 - pyskl - INFO - +mean_acc 0.9068 +2023-12-25 04:00:00,922 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_111.pth was removed +2023-12-25 04:00:01,099 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. +2023-12-25 04:00:01,099 - pyskl - INFO - Best top1_acc is 0.9324 at 117 epoch. +2023-12-25 04:00:01,103 - pyskl - INFO - Epoch(val) [117][533] top1_acc: 0.9324, top5_acc: 0.9959, mean_class_accuracy: 0.9068 +2023-12-25 04:00:59,526 - pyskl - INFO - Epoch [118][100/1281] lr: 2.856e-03, eta: 4:37:40, time: 0.584, data_time: 0.168, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.4121, loss: 0.4121 +2023-12-25 04:01:41,213 - pyskl - INFO - Epoch [118][200/1281] lr: 2.843e-03, eta: 4:37:01, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.4135, loss: 0.4135 +2023-12-25 04:02:22,914 - pyskl - INFO - Epoch [118][300/1281] lr: 2.830e-03, eta: 4:36:23, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.4057, loss: 0.4057 +2023-12-25 04:03:04,459 - pyskl - INFO - Epoch [118][400/1281] lr: 2.817e-03, eta: 4:35:44, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.4216, loss: 0.4216 +2023-12-25 04:03:37,688 - pyskl - INFO - Epoch [118][500/1281] lr: 2.804e-03, eta: 4:35:02, time: 0.332, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.4107, loss: 0.4107 +2023-12-25 04:04:11,987 - pyskl - INFO - Epoch [118][600/1281] lr: 2.791e-03, eta: 4:34:21, time: 0.343, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3947, loss: 0.3947 +2023-12-25 04:04:48,151 - pyskl - INFO - Epoch [118][700/1281] lr: 2.778e-03, eta: 4:33:41, time: 0.362, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.4258, loss: 0.4258 +2023-12-25 04:05:18,109 - pyskl - INFO - Epoch [118][800/1281] lr: 2.765e-03, eta: 4:32:59, time: 0.300, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.4038, loss: 0.4038 +2023-12-25 04:05:59,617 - pyskl - INFO - Epoch [118][900/1281] lr: 2.753e-03, eta: 4:32:20, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.4236, loss: 0.4236 +2023-12-25 04:06:41,209 - pyskl - INFO - Epoch [118][1000/1281] lr: 2.740e-03, eta: 4:31:41, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.4088, loss: 0.4088 +2023-12-25 04:07:22,743 - pyskl - INFO - Epoch [118][1100/1281] lr: 2.727e-03, eta: 4:31:02, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.3994, loss: 0.3994 +2023-12-25 04:08:04,433 - pyskl - INFO - Epoch [118][1200/1281] lr: 2.714e-03, eta: 4:30:23, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.4099, loss: 0.4099 +2023-12-25 04:08:38,740 - pyskl - INFO - Saving checkpoint at 118 epochs +2023-12-25 04:09:50,239 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:09:50,294 - pyskl - INFO - +top1_acc 0.9302 +top5_acc 0.9960 +2023-12-25 04:09:50,294 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:09:50,300 - pyskl - INFO - +mean_acc 0.9007 +2023-12-25 04:09:50,302 - pyskl - INFO - Epoch(val) [118][533] top1_acc: 0.9302, top5_acc: 0.9960, mean_class_accuracy: 0.9007 +2023-12-25 04:10:48,700 - pyskl - INFO - Epoch [119][100/1281] lr: 2.691e-03, eta: 4:29:08, time: 0.584, data_time: 0.167, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.3968, loss: 0.3968 +2023-12-25 04:11:30,313 - pyskl - INFO - Epoch [119][200/1281] lr: 2.679e-03, eta: 4:28:29, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.4013, loss: 0.4013 +2023-12-25 04:12:11,882 - pyskl - INFO - Epoch [119][300/1281] lr: 2.666e-03, eta: 4:27:50, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3915, loss: 0.3915 +2023-12-25 04:12:53,415 - pyskl - INFO - Epoch [119][400/1281] lr: 2.653e-03, eta: 4:27:11, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3958, loss: 0.3958 +2023-12-25 04:13:27,631 - pyskl - INFO - Epoch [119][500/1281] lr: 2.641e-03, eta: 4:26:30, time: 0.342, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.3945, loss: 0.3945 +2023-12-25 04:14:00,902 - pyskl - INFO - Epoch [119][600/1281] lr: 2.628e-03, eta: 4:25:49, time: 0.333, data_time: 0.001, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.4043, loss: 0.4043 +2023-12-25 04:14:38,141 - pyskl - INFO - Epoch [119][700/1281] lr: 2.616e-03, eta: 4:25:09, time: 0.372, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.4029, loss: 0.4029 +2023-12-25 04:15:07,198 - pyskl - INFO - Epoch [119][800/1281] lr: 2.603e-03, eta: 4:24:27, time: 0.291, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.4052, loss: 0.4052 +2023-12-25 04:15:49,627 - pyskl - INFO - Epoch [119][900/1281] lr: 2.591e-03, eta: 4:23:48, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.4228, loss: 0.4228 +2023-12-25 04:16:32,028 - pyskl - INFO - Epoch [119][1000/1281] lr: 2.578e-03, eta: 4:23:10, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.3971, loss: 0.3971 +2023-12-25 04:17:14,512 - pyskl - INFO - Epoch [119][1100/1281] lr: 2.566e-03, eta: 4:22:31, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.4131, loss: 0.4131 +2023-12-25 04:17:56,953 - pyskl - INFO - Epoch [119][1200/1281] lr: 2.554e-03, eta: 4:21:52, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.4079, loss: 0.4079 +2023-12-25 04:18:31,827 - pyskl - INFO - Saving checkpoint at 119 epochs +2023-12-25 04:19:43,735 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:19:43,796 - pyskl - INFO - +top1_acc 0.9302 +top5_acc 0.9957 +2023-12-25 04:19:43,796 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:19:43,803 - pyskl - INFO - +mean_acc 0.9003 +2023-12-25 04:19:43,805 - pyskl - INFO - Epoch(val) [119][533] top1_acc: 0.9302, top5_acc: 0.9957, mean_class_accuracy: 0.9003 +2023-12-25 04:20:42,682 - pyskl - INFO - Epoch [120][100/1281] lr: 2.531e-03, eta: 4:20:37, time: 0.589, data_time: 0.172, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.3976, loss: 0.3976 +2023-12-25 04:21:24,247 - pyskl - INFO - Epoch [120][200/1281] lr: 2.519e-03, eta: 4:19:58, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.3924, loss: 0.3924 +2023-12-25 04:22:05,897 - pyskl - INFO - Epoch [120][300/1281] lr: 2.507e-03, eta: 4:19:20, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.4009, loss: 0.4009 +2023-12-25 04:22:47,535 - pyskl - INFO - Epoch [120][400/1281] lr: 2.494e-03, eta: 4:18:41, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.4181, loss: 0.4181 +2023-12-25 04:23:22,082 - pyskl - INFO - Epoch [120][500/1281] lr: 2.482e-03, eta: 4:18:00, time: 0.345, data_time: 0.000, memory: 4120, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.4221, loss: 0.4221 +2023-12-25 04:23:54,181 - pyskl - INFO - Epoch [120][600/1281] lr: 2.470e-03, eta: 4:17:18, time: 0.321, data_time: 0.000, memory: 4120, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.4159, loss: 0.4159 +2023-12-25 04:24:32,584 - pyskl - INFO - Epoch [120][700/1281] lr: 2.458e-03, eta: 4:16:39, time: 0.384, data_time: 0.001, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.4127, loss: 0.4127 +2023-12-25 04:25:00,506 - pyskl - INFO - Epoch [120][800/1281] lr: 2.446e-03, eta: 4:15:56, time: 0.279, data_time: 0.000, memory: 4120, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.4116, loss: 0.4116 +2023-12-25 04:25:42,162 - pyskl - INFO - Epoch [120][900/1281] lr: 2.433e-03, eta: 4:15:17, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.4062, loss: 0.4062 +2023-12-25 04:26:23,704 - pyskl - INFO - Epoch [120][1000/1281] lr: 2.421e-03, eta: 4:14:38, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.4021, loss: 0.4021 +2023-12-25 04:27:05,290 - pyskl - INFO - Epoch [120][1100/1281] lr: 2.409e-03, eta: 4:14:00, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.4105, loss: 0.4105 +2023-12-25 04:27:46,899 - pyskl - INFO - Epoch [120][1200/1281] lr: 2.397e-03, eta: 4:13:21, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.3928, loss: 0.3928 +2023-12-25 04:28:21,046 - pyskl - INFO - Saving checkpoint at 120 epochs +2023-12-25 04:29:32,454 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:29:32,509 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9959 +2023-12-25 04:29:32,509 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:29:32,516 - pyskl - INFO - +mean_acc 0.9107 +2023-12-25 04:29:32,520 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_117.pth was removed +2023-12-25 04:29:32,693 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. +2023-12-25 04:29:32,693 - pyskl - INFO - Best top1_acc is 0.9345 at 120 epoch. +2023-12-25 04:29:32,696 - pyskl - INFO - Epoch(val) [120][533] top1_acc: 0.9345, top5_acc: 0.9959, mean_class_accuracy: 0.9107 +2023-12-25 04:30:32,100 - pyskl - INFO - Epoch [121][100/1281] lr: 2.375e-03, eta: 4:12:06, time: 0.594, data_time: 0.169, memory: 4120, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.4237, loss: 0.4237 +2023-12-25 04:31:14,580 - pyskl - INFO - Epoch [121][200/1281] lr: 2.363e-03, eta: 4:11:27, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.4049, loss: 0.4049 +2023-12-25 04:31:56,967 - pyskl - INFO - Epoch [121][300/1281] lr: 2.351e-03, eta: 4:10:49, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.4166, loss: 0.4166 +2023-12-25 04:32:39,461 - pyskl - INFO - Epoch [121][400/1281] lr: 2.340e-03, eta: 4:10:10, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.4211, loss: 0.4211 +2023-12-25 04:33:16,219 - pyskl - INFO - Epoch [121][500/1281] lr: 2.328e-03, eta: 4:09:30, time: 0.368, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.4002, loss: 0.4002 +2023-12-25 04:33:47,017 - pyskl - INFO - Epoch [121][600/1281] lr: 2.316e-03, eta: 4:08:48, time: 0.308, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.4051, loss: 0.4051 +2023-12-25 04:34:26,714 - pyskl - INFO - Epoch [121][700/1281] lr: 2.304e-03, eta: 4:08:09, time: 0.397, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.3998, loss: 0.3998 +2023-12-25 04:34:53,757 - pyskl - INFO - Epoch [121][800/1281] lr: 2.292e-03, eta: 4:07:26, time: 0.270, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.4107, loss: 0.4107 +2023-12-25 04:35:36,219 - pyskl - INFO - Epoch [121][900/1281] lr: 2.280e-03, eta: 4:06:48, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.3903, loss: 0.3903 +2023-12-25 04:36:18,694 - pyskl - INFO - Epoch [121][1000/1281] lr: 2.269e-03, eta: 4:06:09, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.4012, loss: 0.4012 +2023-12-25 04:37:01,141 - pyskl - INFO - Epoch [121][1100/1281] lr: 2.257e-03, eta: 4:05:30, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.3940, loss: 0.3940 +2023-12-25 04:37:43,573 - pyskl - INFO - Epoch [121][1200/1281] lr: 2.245e-03, eta: 4:04:51, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.4023, loss: 0.4023 +2023-12-25 04:38:18,395 - pyskl - INFO - Saving checkpoint at 121 epochs +2023-12-25 04:39:30,154 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:39:30,215 - pyskl - INFO - +top1_acc 0.9321 +top5_acc 0.9962 +2023-12-25 04:39:30,215 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:39:30,221 - pyskl - INFO - +mean_acc 0.9106 +2023-12-25 04:39:30,223 - pyskl - INFO - Epoch(val) [121][533] top1_acc: 0.9321, top5_acc: 0.9962, mean_class_accuracy: 0.9106 +2023-12-25 04:40:29,744 - pyskl - INFO - Epoch [122][100/1281] lr: 2.224e-03, eta: 4:03:37, time: 0.595, data_time: 0.171, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.3960, loss: 0.3960 +2023-12-25 04:41:12,173 - pyskl - INFO - Epoch [122][200/1281] lr: 2.212e-03, eta: 4:02:58, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3878, loss: 0.3878 +2023-12-25 04:41:54,598 - pyskl - INFO - Epoch [122][300/1281] lr: 2.201e-03, eta: 4:02:20, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3858, loss: 0.3858 +2023-12-25 04:42:37,041 - pyskl - INFO - Epoch [122][400/1281] lr: 2.189e-03, eta: 4:01:41, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3900, loss: 0.3900 +2023-12-25 04:43:14,427 - pyskl - INFO - Epoch [122][500/1281] lr: 2.178e-03, eta: 4:01:01, time: 0.374, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.3984, loss: 0.3984 +2023-12-25 04:43:44,323 - pyskl - INFO - Epoch [122][600/1281] lr: 2.166e-03, eta: 4:00:19, time: 0.299, data_time: 0.000, memory: 4120, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.4148, loss: 0.4148 +2023-12-25 04:44:24,777 - pyskl - INFO - Epoch [122][700/1281] lr: 2.155e-03, eta: 3:59:40, time: 0.405, data_time: 0.000, memory: 4120, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.4049, loss: 0.4049 +2023-12-25 04:44:50,799 - pyskl - INFO - Epoch [122][800/1281] lr: 2.143e-03, eta: 3:58:57, time: 0.260, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.3995, loss: 0.3995 +2023-12-25 04:45:32,691 - pyskl - INFO - Epoch [122][900/1281] lr: 2.132e-03, eta: 3:58:19, time: 0.419, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3897, loss: 0.3897 +2023-12-25 04:46:14,356 - pyskl - INFO - Epoch [122][1000/1281] lr: 2.120e-03, eta: 3:57:40, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3899, loss: 0.3899 +2023-12-25 04:46:55,902 - pyskl - INFO - Epoch [122][1100/1281] lr: 2.109e-03, eta: 3:57:01, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3873, loss: 0.3873 +2023-12-25 04:47:37,508 - pyskl - INFO - Epoch [122][1200/1281] lr: 2.098e-03, eta: 3:56:22, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.3911, loss: 0.3911 +2023-12-25 04:48:11,713 - pyskl - INFO - Saving checkpoint at 122 epochs +2023-12-25 04:49:23,181 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:49:23,245 - pyskl - INFO - +top1_acc 0.9346 +top5_acc 0.9965 +2023-12-25 04:49:23,245 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:49:23,255 - pyskl - INFO - +mean_acc 0.9087 +2023-12-25 04:49:23,260 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_120.pth was removed +2023-12-25 04:49:23,492 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2023-12-25 04:49:23,492 - pyskl - INFO - Best top1_acc is 0.9346 at 122 epoch. +2023-12-25 04:49:23,495 - pyskl - INFO - Epoch(val) [122][533] top1_acc: 0.9346, top5_acc: 0.9965, mean_class_accuracy: 0.9087 +2023-12-25 04:50:21,790 - pyskl - INFO - Epoch [123][100/1281] lr: 2.077e-03, eta: 3:55:07, time: 0.583, data_time: 0.168, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.3937, loss: 0.3937 +2023-12-25 04:51:03,448 - pyskl - INFO - Epoch [123][200/1281] lr: 2.066e-03, eta: 3:54:28, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.3885, loss: 0.3885 +2023-12-25 04:51:45,099 - pyskl - INFO - Epoch [123][300/1281] lr: 2.055e-03, eta: 3:53:49, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.3914, loss: 0.3914 +2023-12-25 04:52:26,758 - pyskl - INFO - Epoch [123][400/1281] lr: 2.044e-03, eta: 3:53:10, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.3984, loss: 0.3984 +2023-12-25 04:53:04,493 - pyskl - INFO - Epoch [123][500/1281] lr: 2.032e-03, eta: 3:52:31, time: 0.377, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.3962, loss: 0.3962 +2023-12-25 04:53:32,829 - pyskl - INFO - Epoch [123][600/1281] lr: 2.021e-03, eta: 3:51:49, time: 0.283, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.3970, loss: 0.3970 +2023-12-25 04:54:14,788 - pyskl - INFO - Epoch [123][700/1281] lr: 2.010e-03, eta: 3:51:10, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.3967, loss: 0.3967 +2023-12-25 04:54:39,113 - pyskl - INFO - Epoch [123][800/1281] lr: 1.999e-03, eta: 3:50:27, time: 0.243, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3855, loss: 0.3855 +2023-12-25 04:55:20,695 - pyskl - INFO - Epoch [123][900/1281] lr: 1.988e-03, eta: 3:49:48, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3862, loss: 0.3862 +2023-12-25 04:56:02,426 - pyskl - INFO - Epoch [123][1000/1281] lr: 1.977e-03, eta: 3:49:09, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3889, loss: 0.3889 +2023-12-25 04:56:43,935 - pyskl - INFO - Epoch [123][1100/1281] lr: 1.966e-03, eta: 3:48:30, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.3988, loss: 0.3988 +2023-12-25 04:57:25,642 - pyskl - INFO - Epoch [123][1200/1281] lr: 1.955e-03, eta: 3:47:51, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3839, loss: 0.3839 +2023-12-25 04:57:59,837 - pyskl - INFO - Saving checkpoint at 123 epochs +2023-12-25 04:59:11,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:59:11,098 - pyskl - INFO - +top1_acc 0.9358 +top5_acc 0.9968 +2023-12-25 04:59:11,098 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:59:11,105 - pyskl - INFO - +mean_acc 0.9157 +2023-12-25 04:59:11,109 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_122.pth was removed +2023-12-25 04:59:11,286 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. +2023-12-25 04:59:11,287 - pyskl - INFO - Best top1_acc is 0.9358 at 123 epoch. +2023-12-25 04:59:11,289 - pyskl - INFO - Epoch(val) [123][533] top1_acc: 0.9358, top5_acc: 0.9968, mean_class_accuracy: 0.9157 +2023-12-25 05:00:10,832 - pyskl - INFO - Epoch [124][100/1281] lr: 1.935e-03, eta: 3:46:37, time: 0.595, data_time: 0.171, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3896, loss: 0.3896 +2023-12-25 05:00:53,300 - pyskl - INFO - Epoch [124][200/1281] lr: 1.924e-03, eta: 3:45:58, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3821, loss: 0.3821 +2023-12-25 05:01:35,711 - pyskl - INFO - Epoch [124][300/1281] lr: 1.913e-03, eta: 3:45:20, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3823, loss: 0.3823 +2023-12-25 05:02:18,212 - pyskl - INFO - Epoch [124][400/1281] lr: 1.902e-03, eta: 3:44:41, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3900, loss: 0.3900 +2023-12-25 05:02:58,348 - pyskl - INFO - Epoch [124][500/1281] lr: 1.892e-03, eta: 3:44:02, time: 0.401, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3853, loss: 0.3853 +2023-12-25 05:03:25,334 - pyskl - INFO - Epoch [124][600/1281] lr: 1.881e-03, eta: 3:43:20, time: 0.270, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3784, loss: 0.3784 +2023-12-25 05:04:08,705 - pyskl - INFO - Epoch [124][700/1281] lr: 1.870e-03, eta: 3:42:41, time: 0.434, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3854, loss: 0.3854 +2023-12-25 05:04:31,880 - pyskl - INFO - Epoch [124][800/1281] lr: 1.859e-03, eta: 3:41:58, time: 0.232, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.3836, loss: 0.3836 +2023-12-25 05:05:14,368 - pyskl - INFO - Epoch [124][900/1281] lr: 1.849e-03, eta: 3:41:19, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.3921, loss: 0.3921 +2023-12-25 05:05:56,957 - pyskl - INFO - Epoch [124][1000/1281] lr: 1.838e-03, eta: 3:40:41, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.3964, loss: 0.3964 +2023-12-25 05:06:39,465 - pyskl - INFO - Epoch [124][1100/1281] lr: 1.827e-03, eta: 3:40:02, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.3979, loss: 0.3979 +2023-12-25 05:07:21,998 - pyskl - INFO - Epoch [124][1200/1281] lr: 1.817e-03, eta: 3:39:23, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3922, loss: 0.3922 +2023-12-25 05:07:56,881 - pyskl - INFO - Saving checkpoint at 124 epochs +2023-12-25 05:09:08,086 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:09:08,146 - pyskl - INFO - +top1_acc 0.9372 +top5_acc 0.9962 +2023-12-25 05:09:08,146 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:09:08,155 - pyskl - INFO - +mean_acc 0.9142 +2023-12-25 05:09:08,159 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_123.pth was removed +2023-12-25 05:09:08,339 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. +2023-12-25 05:09:08,339 - pyskl - INFO - Best top1_acc is 0.9372 at 124 epoch. +2023-12-25 05:09:08,341 - pyskl - INFO - Epoch(val) [124][533] top1_acc: 0.9372, top5_acc: 0.9962, mean_class_accuracy: 0.9142 +2023-12-25 05:10:08,287 - pyskl - INFO - Epoch [125][100/1281] lr: 1.797e-03, eta: 3:38:09, time: 0.599, data_time: 0.175, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.3852, loss: 0.3852 +2023-12-25 05:10:50,769 - pyskl - INFO - Epoch [125][200/1281] lr: 1.787e-03, eta: 3:37:30, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3884, loss: 0.3884 +2023-12-25 05:11:33,263 - pyskl - INFO - Epoch [125][300/1281] lr: 1.776e-03, eta: 3:36:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3729, loss: 0.3729 +2023-12-25 05:12:15,676 - pyskl - INFO - Epoch [125][400/1281] lr: 1.766e-03, eta: 3:36:13, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3845, loss: 0.3845 +2023-12-25 05:12:56,870 - pyskl - INFO - Epoch [125][500/1281] lr: 1.755e-03, eta: 3:35:34, time: 0.412, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3865, loss: 0.3865 +2023-12-25 05:13:23,301 - pyskl - INFO - Epoch [125][600/1281] lr: 1.745e-03, eta: 3:34:52, time: 0.264, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3825, loss: 0.3825 +2023-12-25 05:14:07,367 - pyskl - INFO - Epoch [125][700/1281] lr: 1.735e-03, eta: 3:34:13, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3791, loss: 0.3791 +2023-12-25 05:14:30,111 - pyskl - INFO - Epoch [125][800/1281] lr: 1.724e-03, eta: 3:33:30, time: 0.227, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3828, loss: 0.3828 +2023-12-25 05:15:12,647 - pyskl - INFO - Epoch [125][900/1281] lr: 1.714e-03, eta: 3:32:52, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.3893, loss: 0.3893 +2023-12-25 05:15:55,143 - pyskl - INFO - Epoch [125][1000/1281] lr: 1.704e-03, eta: 3:32:13, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3963, loss: 0.3963 +2023-12-25 05:16:37,642 - pyskl - INFO - Epoch [125][1100/1281] lr: 1.693e-03, eta: 3:31:34, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3767, loss: 0.3767 +2023-12-25 05:17:20,131 - pyskl - INFO - Epoch [125][1200/1281] lr: 1.683e-03, eta: 3:30:55, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.3897, loss: 0.3897 +2023-12-25 05:17:55,280 - pyskl - INFO - Saving checkpoint at 125 epochs +2023-12-25 05:19:06,823 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:19:06,896 - pyskl - INFO - +top1_acc 0.9365 +top5_acc 0.9968 +2023-12-25 05:19:06,896 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:19:06,904 - pyskl - INFO - +mean_acc 0.9159 +2023-12-25 05:19:06,906 - pyskl - INFO - Epoch(val) [125][533] top1_acc: 0.9365, top5_acc: 0.9968, mean_class_accuracy: 0.9159 +2023-12-25 05:20:05,728 - pyskl - INFO - Epoch [126][100/1281] lr: 1.665e-03, eta: 3:29:41, time: 0.588, data_time: 0.164, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3778, loss: 0.3778 +2023-12-25 05:20:48,169 - pyskl - INFO - Epoch [126][200/1281] lr: 1.654e-03, eta: 3:29:03, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3759, loss: 0.3759 +2023-12-25 05:21:30,649 - pyskl - INFO - Epoch [126][300/1281] lr: 1.644e-03, eta: 3:28:24, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3864, loss: 0.3864 +2023-12-25 05:22:13,086 - pyskl - INFO - Epoch [126][400/1281] lr: 1.634e-03, eta: 3:27:45, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3786, loss: 0.3786 +2023-12-25 05:22:55,379 - pyskl - INFO - Epoch [126][500/1281] lr: 1.624e-03, eta: 3:27:06, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3827, loss: 0.3827 +2023-12-25 05:23:20,568 - pyskl - INFO - Epoch [126][600/1281] lr: 1.614e-03, eta: 3:26:24, time: 0.252, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3732, loss: 0.3732 +2023-12-25 05:24:04,592 - pyskl - INFO - Epoch [126][700/1281] lr: 1.604e-03, eta: 3:25:45, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3722, loss: 0.3722 +2023-12-25 05:24:27,382 - pyskl - INFO - Epoch [126][800/1281] lr: 1.594e-03, eta: 3:25:03, time: 0.228, data_time: 0.000, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.3846, loss: 0.3846 +2023-12-25 05:25:09,873 - pyskl - INFO - Epoch [126][900/1281] lr: 1.584e-03, eta: 3:24:24, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3844, loss: 0.3844 +2023-12-25 05:25:52,484 - pyskl - INFO - Epoch [126][1000/1281] lr: 1.574e-03, eta: 3:23:45, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3722, loss: 0.3722 +2023-12-25 05:26:34,948 - pyskl - INFO - Epoch [126][1100/1281] lr: 1.564e-03, eta: 3:23:06, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3817, loss: 0.3817 +2023-12-25 05:27:17,448 - pyskl - INFO - Epoch [126][1200/1281] lr: 1.554e-03, eta: 3:22:28, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.3840, loss: 0.3840 +2023-12-25 05:27:52,335 - pyskl - INFO - Saving checkpoint at 126 epochs +2023-12-25 05:29:03,593 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:29:03,647 - pyskl - INFO - +top1_acc 0.9376 +top5_acc 0.9962 +2023-12-25 05:29:03,648 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:29:03,654 - pyskl - INFO - +mean_acc 0.9182 +2023-12-25 05:29:03,658 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_124.pth was removed +2023-12-25 05:29:03,832 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. +2023-12-25 05:29:03,832 - pyskl - INFO - Best top1_acc is 0.9376 at 126 epoch. +2023-12-25 05:29:03,835 - pyskl - INFO - Epoch(val) [126][533] top1_acc: 0.9376, top5_acc: 0.9962, mean_class_accuracy: 0.9182 +2023-12-25 05:30:02,723 - pyskl - INFO - Epoch [127][100/1281] lr: 1.536e-03, eta: 3:21:14, time: 0.589, data_time: 0.173, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3729, loss: 0.3729 +2023-12-25 05:30:44,330 - pyskl - INFO - Epoch [127][200/1281] lr: 1.527e-03, eta: 3:20:35, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3767, loss: 0.3767 +2023-12-25 05:31:25,902 - pyskl - INFO - Epoch [127][300/1281] lr: 1.517e-03, eta: 3:19:56, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3773, loss: 0.3773 +2023-12-25 05:32:07,483 - pyskl - INFO - Epoch [127][400/1281] lr: 1.507e-03, eta: 3:19:17, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3798, loss: 0.3798 +2023-12-25 05:32:49,048 - pyskl - INFO - Epoch [127][500/1281] lr: 1.497e-03, eta: 3:18:38, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3782, loss: 0.3782 +2023-12-25 05:33:14,265 - pyskl - INFO - Epoch [127][600/1281] lr: 1.488e-03, eta: 3:17:56, time: 0.252, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3816, loss: 0.3816 +2023-12-25 05:33:58,246 - pyskl - INFO - Epoch [127][700/1281] lr: 1.478e-03, eta: 3:17:17, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3770, loss: 0.3770 +2023-12-25 05:34:21,221 - pyskl - INFO - Epoch [127][800/1281] lr: 1.468e-03, eta: 3:16:35, time: 0.230, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3816, loss: 0.3816 +2023-12-25 05:35:02,757 - pyskl - INFO - Epoch [127][900/1281] lr: 1.459e-03, eta: 3:15:56, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3783, loss: 0.3783 +2023-12-25 05:35:44,481 - pyskl - INFO - Epoch [127][1000/1281] lr: 1.449e-03, eta: 3:15:17, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3759, loss: 0.3759 +2023-12-25 05:36:26,059 - pyskl - INFO - Epoch [127][1100/1281] lr: 1.440e-03, eta: 3:14:38, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3838, loss: 0.3838 +2023-12-25 05:37:07,722 - pyskl - INFO - Epoch [127][1200/1281] lr: 1.430e-03, eta: 3:13:59, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3789, loss: 0.3789 +2023-12-25 05:37:41,979 - pyskl - INFO - Saving checkpoint at 127 epochs +2023-12-25 05:38:53,618 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:38:53,672 - pyskl - INFO - +top1_acc 0.9389 +top5_acc 0.9972 +2023-12-25 05:38:53,672 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:38:53,679 - pyskl - INFO - +mean_acc 0.9162 +2023-12-25 05:38:53,683 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_126.pth was removed +2023-12-25 05:38:53,864 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2023-12-25 05:38:53,865 - pyskl - INFO - Best top1_acc is 0.9389 at 127 epoch. +2023-12-25 05:38:53,868 - pyskl - INFO - Epoch(val) [127][533] top1_acc: 0.9389, top5_acc: 0.9972, mean_class_accuracy: 0.9162 +2023-12-25 05:39:52,866 - pyskl - INFO - Epoch [128][100/1281] lr: 1.413e-03, eta: 3:12:45, time: 0.590, data_time: 0.166, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3824, loss: 0.3824 +2023-12-25 05:40:35,319 - pyskl - INFO - Epoch [128][200/1281] lr: 1.404e-03, eta: 3:12:07, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3838, loss: 0.3838 +2023-12-25 05:41:17,823 - pyskl - INFO - Epoch [128][300/1281] lr: 1.394e-03, eta: 3:11:28, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3803, loss: 0.3803 +2023-12-25 05:42:00,215 - pyskl - INFO - Epoch [128][400/1281] lr: 1.385e-03, eta: 3:10:49, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3783, loss: 0.3783 +2023-12-25 05:42:42,687 - pyskl - INFO - Epoch [128][500/1281] lr: 1.376e-03, eta: 3:10:10, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.3885, loss: 0.3885 +2023-12-25 05:43:07,374 - pyskl - INFO - Epoch [128][600/1281] lr: 1.366e-03, eta: 3:09:28, time: 0.247, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3795, loss: 0.3795 +2023-12-25 05:43:51,491 - pyskl - INFO - Epoch [128][700/1281] lr: 1.357e-03, eta: 3:08:49, time: 0.441, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3821, loss: 0.3821 +2023-12-25 05:44:14,703 - pyskl - INFO - Epoch [128][800/1281] lr: 1.348e-03, eta: 3:08:07, time: 0.232, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3697, loss: 0.3697 +2023-12-25 05:44:56,466 - pyskl - INFO - Epoch [128][900/1281] lr: 1.339e-03, eta: 3:07:28, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3842, loss: 0.3842 +2023-12-25 05:45:38,916 - pyskl - INFO - Epoch [128][1000/1281] lr: 1.329e-03, eta: 3:06:49, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3798, loss: 0.3798 +2023-12-25 05:46:21,463 - pyskl - INFO - Epoch [128][1100/1281] lr: 1.320e-03, eta: 3:06:11, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3724, loss: 0.3724 +2023-12-25 05:47:03,986 - pyskl - INFO - Epoch [128][1200/1281] lr: 1.311e-03, eta: 3:05:32, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3811, loss: 0.3811 +2023-12-25 05:47:38,890 - pyskl - INFO - Saving checkpoint at 128 epochs +2023-12-25 05:48:50,238 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:48:50,305 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9965 +2023-12-25 05:48:50,305 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:48:50,312 - pyskl - INFO - +mean_acc 0.9200 +2023-12-25 05:48:50,317 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_127.pth was removed +2023-12-25 05:48:50,495 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. +2023-12-25 05:48:50,495 - pyskl - INFO - Best top1_acc is 0.9405 at 128 epoch. +2023-12-25 05:48:50,498 - pyskl - INFO - Epoch(val) [128][533] top1_acc: 0.9405, top5_acc: 0.9965, mean_class_accuracy: 0.9200 +2023-12-25 05:49:48,679 - pyskl - INFO - Epoch [129][100/1281] lr: 1.295e-03, eta: 3:04:18, time: 0.582, data_time: 0.166, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3775, loss: 0.3775 +2023-12-25 05:50:30,270 - pyskl - INFO - Epoch [129][200/1281] lr: 1.286e-03, eta: 3:03:39, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3782, loss: 0.3782 +2023-12-25 05:51:11,836 - pyskl - INFO - Epoch [129][300/1281] lr: 1.277e-03, eta: 3:03:00, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.3820, loss: 0.3820 +2023-12-25 05:51:53,421 - pyskl - INFO - Epoch [129][400/1281] lr: 1.268e-03, eta: 3:02:21, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3764, loss: 0.3764 +2023-12-25 05:52:34,932 - pyskl - INFO - Epoch [129][500/1281] lr: 1.259e-03, eta: 3:01:42, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3828, loss: 0.3828 +2023-12-25 05:52:59,968 - pyskl - INFO - Epoch [129][600/1281] lr: 1.250e-03, eta: 3:01:00, time: 0.250, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3727, loss: 0.3727 +2023-12-25 05:53:43,951 - pyskl - INFO - Epoch [129][700/1281] lr: 1.241e-03, eta: 3:00:22, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3808, loss: 0.3808 +2023-12-25 05:54:08,642 - pyskl - INFO - Epoch [129][800/1281] lr: 1.232e-03, eta: 2:59:40, time: 0.247, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3868, loss: 0.3868 +2023-12-25 05:54:48,149 - pyskl - INFO - Epoch [129][900/1281] lr: 1.223e-03, eta: 2:59:01, time: 0.395, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3753, loss: 0.3753 +2023-12-25 05:55:29,814 - pyskl - INFO - Epoch [129][1000/1281] lr: 1.214e-03, eta: 2:58:22, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3738, loss: 0.3738 +2023-12-25 05:56:11,403 - pyskl - INFO - Epoch [129][1100/1281] lr: 1.206e-03, eta: 2:57:43, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3791, loss: 0.3791 +2023-12-25 05:56:52,977 - pyskl - INFO - Epoch [129][1200/1281] lr: 1.197e-03, eta: 2:57:04, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3825, loss: 0.3825 +2023-12-25 05:57:27,267 - pyskl - INFO - Saving checkpoint at 129 epochs +2023-12-25 05:58:39,206 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:58:39,260 - pyskl - INFO - +top1_acc 0.9387 +top5_acc 0.9959 +2023-12-25 05:58:39,260 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:58:39,267 - pyskl - INFO - +mean_acc 0.9179 +2023-12-25 05:58:39,269 - pyskl - INFO - Epoch(val) [129][533] top1_acc: 0.9387, top5_acc: 0.9959, mean_class_accuracy: 0.9179 +2023-12-25 05:59:37,792 - pyskl - INFO - Epoch [130][100/1281] lr: 1.181e-03, eta: 2:55:50, time: 0.585, data_time: 0.170, memory: 4120, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.3837, loss: 0.3837 +2023-12-25 06:00:19,397 - pyskl - INFO - Epoch [130][200/1281] lr: 1.172e-03, eta: 2:55:11, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3764, loss: 0.3764 +2023-12-25 06:01:00,983 - pyskl - INFO - Epoch [130][300/1281] lr: 1.164e-03, eta: 2:54:32, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3806, loss: 0.3806 +2023-12-25 06:01:42,484 - pyskl - INFO - Epoch [130][400/1281] lr: 1.155e-03, eta: 2:53:53, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3707, loss: 0.3707 +2023-12-25 06:02:24,057 - pyskl - INFO - Epoch [130][500/1281] lr: 1.147e-03, eta: 2:53:14, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3750, loss: 0.3750 +2023-12-25 06:02:48,593 - pyskl - INFO - Epoch [130][600/1281] lr: 1.138e-03, eta: 2:52:32, time: 0.245, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3821, loss: 0.3821 +2023-12-25 06:03:32,539 - pyskl - INFO - Epoch [130][700/1281] lr: 1.130e-03, eta: 2:51:54, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3755, loss: 0.3755 +2023-12-25 06:03:58,584 - pyskl - INFO - Epoch [130][800/1281] lr: 1.121e-03, eta: 2:51:12, time: 0.260, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3764, loss: 0.3764 +2023-12-25 06:04:37,801 - pyskl - INFO - Epoch [130][900/1281] lr: 1.113e-03, eta: 2:50:33, time: 0.392, data_time: 0.000, memory: 4120, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.3793, loss: 0.3793 +2023-12-25 06:05:19,564 - pyskl - INFO - Epoch [130][1000/1281] lr: 1.104e-03, eta: 2:49:54, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3803, loss: 0.3803 +2023-12-25 06:06:01,096 - pyskl - INFO - Epoch [130][1100/1281] lr: 1.096e-03, eta: 2:49:15, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3747, loss: 0.3747 +2023-12-25 06:06:42,795 - pyskl - INFO - Epoch [130][1200/1281] lr: 1.088e-03, eta: 2:48:36, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3789, loss: 0.3789 +2023-12-25 06:07:17,014 - pyskl - INFO - Saving checkpoint at 130 epochs +2023-12-25 06:08:28,445 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 06:08:28,500 - pyskl - INFO - +top1_acc 0.9424 +top5_acc 0.9967 +2023-12-25 06:08:28,500 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 06:08:28,507 - pyskl - INFO - +mean_acc 0.9210 +2023-12-25 06:08:28,511 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_128.pth was removed +2023-12-25 06:08:28,687 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2023-12-25 06:08:28,687 - pyskl - INFO - Best top1_acc is 0.9424 at 130 epoch. +2023-12-25 06:08:28,690 - pyskl - INFO - Epoch(val) [130][533] top1_acc: 0.9424, top5_acc: 0.9967, mean_class_accuracy: 0.9210 +2023-12-25 06:09:27,580 - pyskl - INFO - Epoch [131][100/1281] lr: 1.072e-03, eta: 2:47:23, time: 0.589, data_time: 0.173, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3718, loss: 0.3718 +2023-12-25 06:10:09,249 - pyskl - INFO - Epoch [131][200/1281] lr: 1.064e-03, eta: 2:46:44, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3795, loss: 0.3795 +2023-12-25 06:10:50,735 - pyskl - INFO - Epoch [131][300/1281] lr: 1.056e-03, eta: 2:46:05, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3808, loss: 0.3808 +2023-12-25 06:11:32,362 - pyskl - INFO - Epoch [131][400/1281] lr: 1.048e-03, eta: 2:45:26, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3766, loss: 0.3766 +2023-12-25 06:12:13,999 - pyskl - INFO - Epoch [131][500/1281] lr: 1.040e-03, eta: 2:44:47, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3766, loss: 0.3766 +2023-12-25 06:12:38,413 - pyskl - INFO - Epoch [131][600/1281] lr: 1.031e-03, eta: 2:44:05, time: 0.244, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3780, loss: 0.3780 +2023-12-25 06:13:22,149 - pyskl - INFO - Epoch [131][700/1281] lr: 1.023e-03, eta: 2:43:26, time: 0.437, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3780, loss: 0.3780 +2023-12-25 06:13:48,762 - pyskl - INFO - Epoch [131][800/1281] lr: 1.015e-03, eta: 2:42:45, time: 0.266, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3798, loss: 0.3798 +2023-12-25 06:14:27,497 - pyskl - INFO - Epoch [131][900/1281] lr: 1.007e-03, eta: 2:42:06, time: 0.387, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3626, loss: 0.3626 +2023-12-25 06:15:09,012 - pyskl - INFO - Epoch [131][1000/1281] lr: 9.992e-04, eta: 2:41:27, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3770, loss: 0.3770 +2023-12-25 06:15:50,609 - pyskl - INFO - Epoch [131][1100/1281] lr: 9.912e-04, eta: 2:40:48, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3814, loss: 0.3814 +2023-12-25 06:16:32,182 - pyskl - INFO - Epoch [131][1200/1281] lr: 9.832e-04, eta: 2:40:09, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3698, loss: 0.3698 +2023-12-25 06:17:06,504 - pyskl - INFO - Saving checkpoint at 131 epochs +2023-12-25 06:18:18,265 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 06:18:18,320 - pyskl - INFO - +top1_acc 0.9420 +top5_acc 0.9962 +2023-12-25 06:18:18,320 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 06:18:18,327 - pyskl - INFO - +mean_acc 0.9198 +2023-12-25 06:18:18,329 - pyskl - INFO - Epoch(val) [131][533] top1_acc: 0.9420, top5_acc: 0.9962, mean_class_accuracy: 0.9198 +2023-12-25 06:19:18,261 - pyskl - INFO - Epoch [132][100/1281] lr: 9.689e-04, eta: 2:38:56, time: 0.599, data_time: 0.175, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3733, loss: 0.3733 +2023-12-25 06:20:00,761 - pyskl - INFO - Epoch [132][200/1281] lr: 9.610e-04, eta: 2:38:17, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3733, loss: 0.3733 +2023-12-25 06:20:43,145 - pyskl - INFO - Epoch [132][300/1281] lr: 9.532e-04, eta: 2:37:38, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3707, loss: 0.3707 +2023-12-25 06:21:24,993 - pyskl - INFO - Epoch [132][400/1281] lr: 9.454e-04, eta: 2:36:59, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3703, loss: 0.3703 +2023-12-25 06:22:06,590 - pyskl - INFO - Epoch [132][500/1281] lr: 9.376e-04, eta: 2:36:20, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3721, loss: 0.3721 +2023-12-25 06:22:31,250 - pyskl - INFO - Epoch [132][600/1281] lr: 9.298e-04, eta: 2:35:39, time: 0.247, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3724, loss: 0.3724 +2023-12-25 06:23:14,711 - pyskl - INFO - Epoch [132][700/1281] lr: 9.221e-04, eta: 2:35:00, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3608, loss: 0.3608 +2023-12-25 06:23:41,417 - pyskl - INFO - Epoch [132][800/1281] lr: 9.144e-04, eta: 2:34:19, time: 0.267, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3732, loss: 0.3732 +2023-12-25 06:24:20,383 - pyskl - INFO - Epoch [132][900/1281] lr: 9.068e-04, eta: 2:33:39, time: 0.390, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3769, loss: 0.3769 +2023-12-25 06:25:02,854 - pyskl - INFO - Epoch [132][1000/1281] lr: 8.991e-04, eta: 2:33:00, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3721, loss: 0.3721 +2023-12-25 06:25:45,369 - pyskl - INFO - Epoch [132][1100/1281] lr: 8.915e-04, eta: 2:32:22, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3737, loss: 0.3737 +2023-12-25 06:26:27,921 - pyskl - INFO - Epoch [132][1200/1281] lr: 8.840e-04, eta: 2:31:43, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3734, loss: 0.3734 +2023-12-25 06:27:02,787 - pyskl - INFO - Saving checkpoint at 132 epochs +2023-12-25 06:28:15,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 06:28:15,105 - pyskl - INFO - +top1_acc 0.9399 +top5_acc 0.9965 +2023-12-25 06:28:15,105 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 06:28:15,111 - pyskl - INFO - +mean_acc 0.9166 +2023-12-25 06:28:15,113 - pyskl - INFO - Epoch(val) [132][533] top1_acc: 0.9399, top5_acc: 0.9965, mean_class_accuracy: 0.9166 +2023-12-25 06:29:14,894 - pyskl - INFO - Epoch [133][100/1281] lr: 8.704e-04, eta: 2:30:30, time: 0.598, data_time: 0.177, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3736, loss: 0.3736 +2023-12-25 06:29:56,512 - pyskl - INFO - Epoch [133][200/1281] lr: 8.629e-04, eta: 2:29:51, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3683, loss: 0.3683 +2023-12-25 06:30:38,086 - pyskl - INFO - Epoch [133][300/1281] lr: 8.554e-04, eta: 2:29:12, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3801, loss: 0.3801 +2023-12-25 06:31:19,796 - pyskl - INFO - Epoch [133][400/1281] lr: 8.480e-04, eta: 2:28:33, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3734, loss: 0.3734 +2023-12-25 06:32:01,418 - pyskl - INFO - Epoch [133][500/1281] lr: 8.406e-04, eta: 2:27:54, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3739, loss: 0.3739 +2023-12-25 06:32:25,710 - pyskl - INFO - Epoch [133][600/1281] lr: 8.333e-04, eta: 2:27:12, time: 0.243, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3685, loss: 0.3685 +2023-12-25 06:33:09,232 - pyskl - INFO - Epoch [133][700/1281] lr: 8.260e-04, eta: 2:26:34, time: 0.435, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3767, loss: 0.3767 +2023-12-25 06:33:36,161 - pyskl - INFO - Epoch [133][800/1281] lr: 8.187e-04, eta: 2:25:53, time: 0.269, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3597, loss: 0.3597 +2023-12-25 06:34:13,701 - pyskl - INFO - Epoch [133][900/1281] lr: 8.114e-04, eta: 2:25:13, time: 0.375, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3781, loss: 0.3781 +2023-12-25 06:34:56,379 - pyskl - INFO - Epoch [133][1000/1281] lr: 8.042e-04, eta: 2:24:34, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3670, loss: 0.3670 +2023-12-25 06:35:38,990 - pyskl - INFO - Epoch [133][1100/1281] lr: 7.970e-04, eta: 2:23:55, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3723, loss: 0.3723 +2023-12-25 06:36:21,535 - pyskl - INFO - Epoch [133][1200/1281] lr: 7.898e-04, eta: 2:23:16, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3776, loss: 0.3776 +2023-12-25 06:36:56,444 - pyskl - INFO - Saving checkpoint at 133 epochs +2023-12-25 06:38:08,174 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 06:38:08,229 - pyskl - INFO - +top1_acc 0.9421 +top5_acc 0.9972 +2023-12-25 06:38:08,229 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 06:38:08,236 - pyskl - INFO - +mean_acc 0.9206 +2023-12-25 06:38:08,238 - pyskl - INFO - Epoch(val) [133][533] top1_acc: 0.9421, top5_acc: 0.9972, mean_class_accuracy: 0.9206 +2023-12-25 06:39:08,368 - pyskl - INFO - Epoch [134][100/1281] lr: 7.769e-04, eta: 2:22:04, time: 0.601, data_time: 0.175, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3757, loss: 0.3757 +2023-12-25 06:39:51,061 - pyskl - INFO - Epoch [134][200/1281] lr: 7.699e-04, eta: 2:21:25, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3756, loss: 0.3756 +2023-12-25 06:40:33,747 - pyskl - INFO - Epoch [134][300/1281] lr: 7.628e-04, eta: 2:20:46, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3790, loss: 0.3790 +2023-12-25 06:41:16,390 - pyskl - INFO - Epoch [134][400/1281] lr: 7.558e-04, eta: 2:20:07, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3691, loss: 0.3691 +2023-12-25 06:41:58,973 - pyskl - INFO - Epoch [134][500/1281] lr: 7.488e-04, eta: 2:19:28, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3695, loss: 0.3695 +2023-12-25 06:42:26,360 - pyskl - INFO - Epoch [134][600/1281] lr: 7.419e-04, eta: 2:18:47, time: 0.274, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3802, loss: 0.3802 +2023-12-25 06:43:06,210 - pyskl - INFO - Epoch [134][700/1281] lr: 7.349e-04, eta: 2:18:08, time: 0.398, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3729, loss: 0.3729 +2023-12-25 06:43:37,135 - pyskl - INFO - Epoch [134][800/1281] lr: 7.281e-04, eta: 2:17:28, time: 0.309, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3746, loss: 0.3746 +2023-12-25 06:44:11,730 - pyskl - INFO - Epoch [134][900/1281] lr: 7.212e-04, eta: 2:16:48, time: 0.346, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3734, loss: 0.3734 +2023-12-25 06:44:53,519 - pyskl - INFO - Epoch [134][1000/1281] lr: 7.144e-04, eta: 2:16:09, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3655, loss: 0.3655 +2023-12-25 06:45:35,114 - pyskl - INFO - Epoch [134][1100/1281] lr: 7.076e-04, eta: 2:15:30, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3759, loss: 0.3759 +2023-12-25 06:46:16,831 - pyskl - INFO - Epoch [134][1200/1281] lr: 7.008e-04, eta: 2:14:51, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3722, loss: 0.3722 +2023-12-25 06:46:51,284 - pyskl - INFO - Saving checkpoint at 134 epochs +2023-12-25 06:48:02,931 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 06:48:02,987 - pyskl - INFO - +top1_acc 0.9410 +top5_acc 0.9971 +2023-12-25 06:48:02,987 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 06:48:02,995 - pyskl - INFO - +mean_acc 0.9201 +2023-12-25 06:48:02,997 - pyskl - INFO - Epoch(val) [134][533] top1_acc: 0.9410, top5_acc: 0.9971, mean_class_accuracy: 0.9201 +2023-12-25 06:49:01,999 - pyskl - INFO - Epoch [135][100/1281] lr: 6.887e-04, eta: 2:13:38, time: 0.590, data_time: 0.166, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3749, loss: 0.3749 +2023-12-25 06:49:44,629 - pyskl - INFO - Epoch [135][200/1281] lr: 6.820e-04, eta: 2:12:59, time: 0.426, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3630, loss: 0.3630 +2023-12-25 06:50:27,042 - pyskl - INFO - Epoch [135][300/1281] lr: 6.753e-04, eta: 2:12:20, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3710, loss: 0.3710 +2023-12-25 06:51:09,630 - pyskl - INFO - Epoch [135][400/1281] lr: 6.687e-04, eta: 2:11:41, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3686, loss: 0.3686 +2023-12-25 06:51:52,130 - pyskl - INFO - Epoch [135][500/1281] lr: 6.622e-04, eta: 2:11:02, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3667, loss: 0.3667 +2023-12-25 06:52:22,380 - pyskl - INFO - Epoch [135][600/1281] lr: 6.556e-04, eta: 2:10:22, time: 0.303, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3706, loss: 0.3706 +2023-12-25 06:53:00,412 - pyskl - INFO - Epoch [135][700/1281] lr: 6.491e-04, eta: 2:09:43, time: 0.380, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3611, loss: 0.3611 +2023-12-25 06:53:32,778 - pyskl - INFO - Epoch [135][800/1281] lr: 6.426e-04, eta: 2:09:02, time: 0.324, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3719, loss: 0.3719 +2023-12-25 06:54:06,250 - pyskl - INFO - Epoch [135][900/1281] lr: 6.362e-04, eta: 2:08:22, time: 0.335, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3654, loss: 0.3654 +2023-12-25 06:54:48,703 - pyskl - INFO - Epoch [135][1000/1281] lr: 6.297e-04, eta: 2:07:44, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3748, loss: 0.3748 +2023-12-25 06:55:31,262 - pyskl - INFO - Epoch [135][1100/1281] lr: 6.233e-04, eta: 2:07:05, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3730, loss: 0.3730 +2023-12-25 06:56:13,751 - pyskl - INFO - Epoch [135][1200/1281] lr: 6.170e-04, eta: 2:06:26, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3821, loss: 0.3821 +2023-12-25 06:56:48,673 - pyskl - INFO - Saving checkpoint at 135 epochs +2023-12-25 06:58:00,227 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 06:58:00,292 - pyskl - INFO - +top1_acc 0.9419 +top5_acc 0.9969 +2023-12-25 06:58:00,292 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 06:58:00,300 - pyskl - INFO - +mean_acc 0.9192 +2023-12-25 06:58:00,303 - pyskl - INFO - Epoch(val) [135][533] top1_acc: 0.9419, top5_acc: 0.9969, mean_class_accuracy: 0.9192 +2023-12-25 06:59:00,208 - pyskl - INFO - Epoch [136][100/1281] lr: 6.056e-04, eta: 2:05:13, time: 0.599, data_time: 0.174, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3610, loss: 0.3610 +2023-12-25 06:59:42,772 - pyskl - INFO - Epoch [136][200/1281] lr: 5.993e-04, eta: 2:04:34, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3746, loss: 0.3746 +2023-12-25 07:00:25,226 - pyskl - INFO - Epoch [136][300/1281] lr: 5.931e-04, eta: 2:03:55, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3712, loss: 0.3712 +2023-12-25 07:01:07,732 - pyskl - INFO - Epoch [136][400/1281] lr: 5.868e-04, eta: 2:03:16, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3752, loss: 0.3752 +2023-12-25 07:01:50,198 - pyskl - INFO - Epoch [136][500/1281] lr: 5.807e-04, eta: 2:02:37, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3734, loss: 0.3734 +2023-12-25 07:02:21,199 - pyskl - INFO - Epoch [136][600/1281] lr: 5.745e-04, eta: 2:01:57, time: 0.310, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3741, loss: 0.3741 +2023-12-25 07:02:58,598 - pyskl - INFO - Epoch [136][700/1281] lr: 5.684e-04, eta: 2:01:18, time: 0.374, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3745, loss: 0.3745 +2023-12-25 07:03:31,536 - pyskl - INFO - Epoch [136][800/1281] lr: 5.623e-04, eta: 2:00:38, time: 0.329, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3704, loss: 0.3704 +2023-12-25 07:04:04,020 - pyskl - INFO - Epoch [136][900/1281] lr: 5.563e-04, eta: 1:59:58, time: 0.325, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3712, loss: 0.3712 +2023-12-25 07:04:46,533 - pyskl - INFO - Epoch [136][1000/1281] lr: 5.503e-04, eta: 1:59:19, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.3762, loss: 0.3762 +2023-12-25 07:05:28,996 - pyskl - INFO - Epoch [136][1100/1281] lr: 5.443e-04, eta: 1:58:40, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.3767, loss: 0.3767 +2023-12-25 07:06:11,475 - pyskl - INFO - Epoch [136][1200/1281] lr: 5.384e-04, eta: 1:58:01, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3732, loss: 0.3732 +2023-12-25 07:06:46,407 - pyskl - INFO - Saving checkpoint at 136 epochs +2023-12-25 07:07:58,069 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:07:58,124 - pyskl - INFO - +top1_acc 0.9434 +top5_acc 0.9967 +2023-12-25 07:07:58,124 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:07:58,130 - pyskl - INFO - +mean_acc 0.9223 +2023-12-25 07:07:58,134 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_130.pth was removed +2023-12-25 07:07:58,362 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. +2023-12-25 07:07:58,362 - pyskl - INFO - Best top1_acc is 0.9434 at 136 epoch. +2023-12-25 07:07:58,365 - pyskl - INFO - Epoch(val) [136][533] top1_acc: 0.9434, top5_acc: 0.9967, mean_class_accuracy: 0.9223 +2023-12-25 07:08:56,960 - pyskl - INFO - Epoch [137][100/1281] lr: 5.277e-04, eta: 1:56:48, time: 0.586, data_time: 0.169, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3659, loss: 0.3659 +2023-12-25 07:09:38,584 - pyskl - INFO - Epoch [137][200/1281] lr: 5.218e-04, eta: 1:56:09, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3656, loss: 0.3656 +2023-12-25 07:10:20,316 - pyskl - INFO - Epoch [137][300/1281] lr: 5.160e-04, eta: 1:55:30, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3746, loss: 0.3746 +2023-12-25 07:11:01,902 - pyskl - INFO - Epoch [137][400/1281] lr: 5.102e-04, eta: 1:54:51, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3662, loss: 0.3662 +2023-12-25 07:11:43,400 - pyskl - INFO - Epoch [137][500/1281] lr: 5.044e-04, eta: 1:54:12, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3738, loss: 0.3738 +2023-12-25 07:12:14,929 - pyskl - INFO - Epoch [137][600/1281] lr: 4.987e-04, eta: 1:53:32, time: 0.315, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3670, loss: 0.3670 +2023-12-25 07:12:51,215 - pyskl - INFO - Epoch [137][700/1281] lr: 4.930e-04, eta: 1:52:52, time: 0.363, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3720, loss: 0.3720 +2023-12-25 07:13:25,435 - pyskl - INFO - Epoch [137][800/1281] lr: 4.873e-04, eta: 1:52:13, time: 0.342, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3758, loss: 0.3758 +2023-12-25 07:13:57,352 - pyskl - INFO - Epoch [137][900/1281] lr: 4.817e-04, eta: 1:51:32, time: 0.319, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3727, loss: 0.3727 +2023-12-25 07:14:39,840 - pyskl - INFO - Epoch [137][1000/1281] lr: 4.761e-04, eta: 1:50:54, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3684, loss: 0.3684 +2023-12-25 07:15:22,305 - pyskl - INFO - Epoch [137][1100/1281] lr: 4.705e-04, eta: 1:50:15, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3737, loss: 0.3737 +2023-12-25 07:16:04,743 - pyskl - INFO - Epoch [137][1200/1281] lr: 4.650e-04, eta: 1:49:36, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3764, loss: 0.3764 +2023-12-25 07:16:39,576 - pyskl - INFO - Saving checkpoint at 137 epochs +2023-12-25 07:17:51,398 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:17:51,454 - pyskl - INFO - +top1_acc 0.9428 +top5_acc 0.9965 +2023-12-25 07:17:51,454 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:17:51,461 - pyskl - INFO - +mean_acc 0.9212 +2023-12-25 07:17:51,463 - pyskl - INFO - Epoch(val) [137][533] top1_acc: 0.9428, top5_acc: 0.9965, mean_class_accuracy: 0.9212 +2023-12-25 07:18:50,389 - pyskl - INFO - Epoch [138][100/1281] lr: 4.550e-04, eta: 1:48:23, time: 0.589, data_time: 0.173, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3748, loss: 0.3748 +2023-12-25 07:19:32,507 - pyskl - INFO - Epoch [138][200/1281] lr: 4.496e-04, eta: 1:47:44, time: 0.421, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3705, loss: 0.3705 +2023-12-25 07:20:15,025 - pyskl - INFO - Epoch [138][300/1281] lr: 4.442e-04, eta: 1:47:05, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3661, loss: 0.3661 +2023-12-25 07:20:57,507 - pyskl - INFO - Epoch [138][400/1281] lr: 4.388e-04, eta: 1:46:26, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3714, loss: 0.3714 +2023-12-25 07:21:39,990 - pyskl - INFO - Epoch [138][500/1281] lr: 4.334e-04, eta: 1:45:47, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3745, loss: 0.3745 +2023-12-25 07:22:11,870 - pyskl - INFO - Epoch [138][600/1281] lr: 4.281e-04, eta: 1:45:07, time: 0.319, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3699, loss: 0.3699 +2023-12-25 07:22:47,072 - pyskl - INFO - Epoch [138][700/1281] lr: 4.228e-04, eta: 1:44:28, time: 0.352, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3749, loss: 0.3749 +2023-12-25 07:23:22,197 - pyskl - INFO - Epoch [138][800/1281] lr: 4.176e-04, eta: 1:43:48, time: 0.351, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3672, loss: 0.3672 +2023-12-25 07:23:52,692 - pyskl - INFO - Epoch [138][900/1281] lr: 4.124e-04, eta: 1:43:08, time: 0.305, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3732, loss: 0.3732 +2023-12-25 07:24:34,253 - pyskl - INFO - Epoch [138][1000/1281] lr: 4.072e-04, eta: 1:42:29, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3665, loss: 0.3665 +2023-12-25 07:25:15,901 - pyskl - INFO - Epoch [138][1100/1281] lr: 4.020e-04, eta: 1:41:50, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3691, loss: 0.3691 +2023-12-25 07:25:57,522 - pyskl - INFO - Epoch [138][1200/1281] lr: 3.969e-04, eta: 1:41:11, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3686, loss: 0.3686 +2023-12-25 07:26:31,710 - pyskl - INFO - Saving checkpoint at 138 epochs +2023-12-25 07:27:42,742 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:27:42,809 - pyskl - INFO - +top1_acc 0.9414 +top5_acc 0.9973 +2023-12-25 07:27:42,809 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:27:42,816 - pyskl - INFO - +mean_acc 0.9186 +2023-12-25 07:27:42,818 - pyskl - INFO - Epoch(val) [138][533] top1_acc: 0.9414, top5_acc: 0.9973, mean_class_accuracy: 0.9186 +2023-12-25 07:28:40,797 - pyskl - INFO - Epoch [139][100/1281] lr: 3.877e-04, eta: 1:39:58, time: 0.580, data_time: 0.164, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3672, loss: 0.3672 +2023-12-25 07:29:22,339 - pyskl - INFO - Epoch [139][200/1281] lr: 3.827e-04, eta: 1:39:19, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3745, loss: 0.3745 +2023-12-25 07:30:04,118 - pyskl - INFO - Epoch [139][300/1281] lr: 3.777e-04, eta: 1:38:40, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3646, loss: 0.3646 +2023-12-25 07:30:45,706 - pyskl - INFO - Epoch [139][400/1281] lr: 3.727e-04, eta: 1:38:01, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3707, loss: 0.3707 +2023-12-25 07:31:27,365 - pyskl - INFO - Epoch [139][500/1281] lr: 3.678e-04, eta: 1:37:22, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3666, loss: 0.3666 +2023-12-25 07:32:02,141 - pyskl - INFO - Epoch [139][600/1281] lr: 3.628e-04, eta: 1:36:42, time: 0.348, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3704, loss: 0.3704 +2023-12-25 07:32:34,462 - pyskl - INFO - Epoch [139][700/1281] lr: 3.580e-04, eta: 1:36:03, time: 0.323, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3731, loss: 0.3731 +2023-12-25 07:33:12,444 - pyskl - INFO - Epoch [139][800/1281] lr: 3.531e-04, eta: 1:35:23, time: 0.380, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3699, loss: 0.3699 +2023-12-25 07:33:40,466 - pyskl - INFO - Epoch [139][900/1281] lr: 3.483e-04, eta: 1:34:43, time: 0.280, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3744, loss: 0.3744 +2023-12-25 07:34:22,107 - pyskl - INFO - Epoch [139][1000/1281] lr: 3.436e-04, eta: 1:34:04, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3756, loss: 0.3756 +2023-12-25 07:35:03,844 - pyskl - INFO - Epoch [139][1100/1281] lr: 3.388e-04, eta: 1:33:25, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3710, loss: 0.3710 +2023-12-25 07:35:45,639 - pyskl - INFO - Epoch [139][1200/1281] lr: 3.341e-04, eta: 1:32:46, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3683, loss: 0.3683 +2023-12-25 07:36:19,821 - pyskl - INFO - Saving checkpoint at 139 epochs +2023-12-25 07:37:31,367 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:37:31,422 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9966 +2023-12-25 07:37:31,422 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:37:31,429 - pyskl - INFO - +mean_acc 0.9192 +2023-12-25 07:37:31,430 - pyskl - INFO - Epoch(val) [139][533] top1_acc: 0.9427, top5_acc: 0.9966, mean_class_accuracy: 0.9192 +2023-12-25 07:38:30,102 - pyskl - INFO - Epoch [140][100/1281] lr: 3.257e-04, eta: 1:31:34, time: 0.587, data_time: 0.172, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3694, loss: 0.3694 +2023-12-25 07:39:11,636 - pyskl - INFO - Epoch [140][200/1281] lr: 3.210e-04, eta: 1:30:55, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3719, loss: 0.3719 +2023-12-25 07:39:53,197 - pyskl - INFO - Epoch [140][300/1281] lr: 3.165e-04, eta: 1:30:15, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3693, loss: 0.3693 +2023-12-25 07:40:34,890 - pyskl - INFO - Epoch [140][400/1281] lr: 3.119e-04, eta: 1:29:36, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3679, loss: 0.3679 +2023-12-25 07:41:16,542 - pyskl - INFO - Epoch [140][500/1281] lr: 3.074e-04, eta: 1:28:57, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3645, loss: 0.3645 +2023-12-25 07:41:52,685 - pyskl - INFO - Epoch [140][600/1281] lr: 3.029e-04, eta: 1:28:18, time: 0.361, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3669, loss: 0.3669 +2023-12-25 07:42:23,400 - pyskl - INFO - Epoch [140][700/1281] lr: 2.984e-04, eta: 1:27:38, time: 0.307, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3733, loss: 0.3733 +2023-12-25 07:43:03,273 - pyskl - INFO - Epoch [140][800/1281] lr: 2.940e-04, eta: 1:26:59, time: 0.399, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3690, loss: 0.3690 +2023-12-25 07:43:29,919 - pyskl - INFO - Epoch [140][900/1281] lr: 2.896e-04, eta: 1:26:18, time: 0.266, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3711, loss: 0.3711 +2023-12-25 07:44:12,389 - pyskl - INFO - Epoch [140][1000/1281] lr: 2.853e-04, eta: 1:25:39, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3693, loss: 0.3693 +2023-12-25 07:44:54,901 - pyskl - INFO - Epoch [140][1100/1281] lr: 2.809e-04, eta: 1:25:00, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3694, loss: 0.3694 +2023-12-25 07:45:37,405 - pyskl - INFO - Epoch [140][1200/1281] lr: 2.767e-04, eta: 1:24:21, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3672, loss: 0.3672 +2023-12-25 07:46:12,224 - pyskl - INFO - Saving checkpoint at 140 epochs +2023-12-25 07:47:24,594 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:47:24,661 - pyskl - INFO - +top1_acc 0.9431 +top5_acc 0.9966 +2023-12-25 07:47:24,661 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:47:24,669 - pyskl - INFO - +mean_acc 0.9218 +2023-12-25 07:47:24,672 - pyskl - INFO - Epoch(val) [140][533] top1_acc: 0.9431, top5_acc: 0.9966, mean_class_accuracy: 0.9218 +2023-12-25 07:48:23,942 - pyskl - INFO - Epoch [141][100/1281] lr: 2.690e-04, eta: 1:23:09, time: 0.593, data_time: 0.168, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3650, loss: 0.3650 +2023-12-25 07:49:06,384 - pyskl - INFO - Epoch [141][200/1281] lr: 2.648e-04, eta: 1:22:30, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3780, loss: 0.3780 +2023-12-25 07:49:48,831 - pyskl - INFO - Epoch [141][300/1281] lr: 2.606e-04, eta: 1:21:51, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3763, loss: 0.3763 +2023-12-25 07:50:31,159 - pyskl - INFO - Epoch [141][400/1281] lr: 2.565e-04, eta: 1:21:12, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3734, loss: 0.3734 +2023-12-25 07:51:13,784 - pyskl - INFO - Epoch [141][500/1281] lr: 2.524e-04, eta: 1:20:33, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3716, loss: 0.3716 +2023-12-25 07:51:51,138 - pyskl - INFO - Epoch [141][600/1281] lr: 2.483e-04, eta: 1:19:54, time: 0.374, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3688, loss: 0.3688 +2023-12-25 07:52:21,552 - pyskl - INFO - Epoch [141][700/1281] lr: 2.443e-04, eta: 1:19:14, time: 0.304, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3719, loss: 0.3719 +2023-12-25 07:53:01,621 - pyskl - INFO - Epoch [141][800/1281] lr: 2.402e-04, eta: 1:18:35, time: 0.401, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3674, loss: 0.3674 +2023-12-25 07:53:28,382 - pyskl - INFO - Epoch [141][900/1281] lr: 2.363e-04, eta: 1:17:55, time: 0.268, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3689, loss: 0.3689 +2023-12-25 07:54:10,581 - pyskl - INFO - Epoch [141][1000/1281] lr: 2.323e-04, eta: 1:17:16, time: 0.422, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3688, loss: 0.3688 +2023-12-25 07:54:52,159 - pyskl - INFO - Epoch [141][1100/1281] lr: 2.284e-04, eta: 1:16:37, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3705, loss: 0.3705 +2023-12-25 07:55:33,764 - pyskl - INFO - Epoch [141][1200/1281] lr: 2.246e-04, eta: 1:15:57, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3693, loss: 0.3693 +2023-12-25 07:56:08,157 - pyskl - INFO - Saving checkpoint at 141 epochs +2023-12-25 07:57:20,392 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:57:20,456 - pyskl - INFO - +top1_acc 0.9447 +top5_acc 0.9971 +2023-12-25 07:57:20,456 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:57:20,465 - pyskl - INFO - +mean_acc 0.9228 +2023-12-25 07:57:20,469 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_136.pth was removed +2023-12-25 07:57:20,656 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. +2023-12-25 07:57:20,656 - pyskl - INFO - Best top1_acc is 0.9447 at 141 epoch. +2023-12-25 07:57:20,659 - pyskl - INFO - Epoch(val) [141][533] top1_acc: 0.9447, top5_acc: 0.9971, mean_class_accuracy: 0.9228 +2023-12-25 07:58:20,140 - pyskl - INFO - Epoch [142][100/1281] lr: 2.176e-04, eta: 1:14:46, time: 0.595, data_time: 0.171, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3715, loss: 0.3715 +2023-12-25 07:59:02,611 - pyskl - INFO - Epoch [142][200/1281] lr: 2.139e-04, eta: 1:14:07, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3713, loss: 0.3713 +2023-12-25 07:59:45,136 - pyskl - INFO - Epoch [142][300/1281] lr: 2.101e-04, eta: 1:13:28, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3681, loss: 0.3681 +2023-12-25 08:00:27,727 - pyskl - INFO - Epoch [142][400/1281] lr: 2.064e-04, eta: 1:12:49, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3707, loss: 0.3707 +2023-12-25 08:01:10,360 - pyskl - INFO - Epoch [142][500/1281] lr: 2.027e-04, eta: 1:12:09, time: 0.426, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3648, loss: 0.3648 +2023-12-25 08:01:47,065 - pyskl - INFO - Epoch [142][600/1281] lr: 1.991e-04, eta: 1:11:30, time: 0.367, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3706, loss: 0.3706 +2023-12-25 08:02:17,425 - pyskl - INFO - Epoch [142][700/1281] lr: 1.954e-04, eta: 1:10:50, time: 0.304, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3694, loss: 0.3694 +2023-12-25 08:02:57,848 - pyskl - INFO - Epoch [142][800/1281] lr: 1.919e-04, eta: 1:10:11, time: 0.404, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3705, loss: 0.3705 +2023-12-25 08:03:24,627 - pyskl - INFO - Epoch [142][900/1281] lr: 1.883e-04, eta: 1:09:31, time: 0.268, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3700, loss: 0.3700 +2023-12-25 08:04:06,374 - pyskl - INFO - Epoch [142][1000/1281] lr: 1.848e-04, eta: 1:08:52, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3629, loss: 0.3629 +2023-12-25 08:04:47,966 - pyskl - INFO - Epoch [142][1100/1281] lr: 1.813e-04, eta: 1:08:13, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3702, loss: 0.3702 +2023-12-25 08:05:29,613 - pyskl - INFO - Epoch [142][1200/1281] lr: 1.779e-04, eta: 1:07:34, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3709, loss: 0.3709 +2023-12-25 08:06:03,894 - pyskl - INFO - Saving checkpoint at 142 epochs +2023-12-25 08:07:15,441 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:07:15,508 - pyskl - INFO - +top1_acc 0.9421 +top5_acc 0.9967 +2023-12-25 08:07:15,508 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:07:15,515 - pyskl - INFO - +mean_acc 0.9192 +2023-12-25 08:07:15,517 - pyskl - INFO - Epoch(val) [142][533] top1_acc: 0.9421, top5_acc: 0.9967, mean_class_accuracy: 0.9192 +2023-12-25 08:08:13,844 - pyskl - INFO - Epoch [143][100/1281] lr: 1.717e-04, eta: 1:06:22, time: 0.583, data_time: 0.168, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3733, loss: 0.3733 +2023-12-25 08:08:55,430 - pyskl - INFO - Epoch [143][200/1281] lr: 1.683e-04, eta: 1:05:43, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3703, loss: 0.3703 +2023-12-25 08:09:37,113 - pyskl - INFO - Epoch [143][300/1281] lr: 1.650e-04, eta: 1:05:04, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3637, loss: 0.3637 +2023-12-25 08:10:18,775 - pyskl - INFO - Epoch [143][400/1281] lr: 1.617e-04, eta: 1:04:25, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3664, loss: 0.3664 +2023-12-25 08:11:00,422 - pyskl - INFO - Epoch [143][500/1281] lr: 1.585e-04, eta: 1:03:46, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3688, loss: 0.3688 +2023-12-25 08:11:37,868 - pyskl - INFO - Epoch [143][600/1281] lr: 1.552e-04, eta: 1:03:06, time: 0.374, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3741, loss: 0.3741 +2023-12-25 08:12:07,784 - pyskl - INFO - Epoch [143][700/1281] lr: 1.520e-04, eta: 1:02:26, time: 0.299, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3758, loss: 0.3758 +2023-12-25 08:12:48,281 - pyskl - INFO - Epoch [143][800/1281] lr: 1.489e-04, eta: 1:01:47, time: 0.405, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3718, loss: 0.3718 +2023-12-25 08:13:14,480 - pyskl - INFO - Epoch [143][900/1281] lr: 1.457e-04, eta: 1:01:07, time: 0.262, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3706, loss: 0.3706 +2023-12-25 08:13:55,979 - pyskl - INFO - Epoch [143][1000/1281] lr: 1.426e-04, eta: 1:00:28, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3696, loss: 0.3696 +2023-12-25 08:14:37,566 - pyskl - INFO - Epoch [143][1100/1281] lr: 1.396e-04, eta: 0:59:49, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3755, loss: 0.3755 +2023-12-25 08:15:19,183 - pyskl - INFO - Epoch [143][1200/1281] lr: 1.366e-04, eta: 0:59:10, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3743, loss: 0.3743 +2023-12-25 08:15:53,452 - pyskl - INFO - Saving checkpoint at 143 epochs +2023-12-25 08:17:03,415 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:17:03,469 - pyskl - INFO - +top1_acc 0.9425 +top5_acc 0.9972 +2023-12-25 08:17:03,470 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:17:03,476 - pyskl - INFO - +mean_acc 0.9203 +2023-12-25 08:17:03,478 - pyskl - INFO - Epoch(val) [143][533] top1_acc: 0.9425, top5_acc: 0.9972, mean_class_accuracy: 0.9203 +2023-12-25 08:18:00,929 - pyskl - INFO - Epoch [144][100/1281] lr: 1.312e-04, eta: 0:57:58, time: 0.574, data_time: 0.159, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3747, loss: 0.3747 +2023-12-25 08:18:42,651 - pyskl - INFO - Epoch [144][200/1281] lr: 1.282e-04, eta: 0:57:19, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3666, loss: 0.3666 +2023-12-25 08:19:24,122 - pyskl - INFO - Epoch [144][300/1281] lr: 1.253e-04, eta: 0:56:40, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3696, loss: 0.3696 +2023-12-25 08:20:05,743 - pyskl - INFO - Epoch [144][400/1281] lr: 1.224e-04, eta: 0:56:01, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3699, loss: 0.3699 +2023-12-25 08:20:47,335 - pyskl - INFO - Epoch [144][500/1281] lr: 1.196e-04, eta: 0:55:22, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3736, loss: 0.3736 +2023-12-25 08:21:27,687 - pyskl - INFO - Epoch [144][600/1281] lr: 1.168e-04, eta: 0:54:43, time: 0.404, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3689, loss: 0.3689 +2023-12-25 08:21:54,230 - pyskl - INFO - Epoch [144][700/1281] lr: 1.140e-04, eta: 0:54:03, time: 0.265, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3677, loss: 0.3677 +2023-12-25 08:22:38,133 - pyskl - INFO - Epoch [144][800/1281] lr: 1.113e-04, eta: 0:53:24, time: 0.439, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3728, loss: 0.3728 +2023-12-25 08:23:01,036 - pyskl - INFO - Epoch [144][900/1281] lr: 1.086e-04, eta: 0:52:44, time: 0.229, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3711, loss: 0.3711 +2023-12-25 08:23:42,695 - pyskl - INFO - Epoch [144][1000/1281] lr: 1.059e-04, eta: 0:52:05, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3739, loss: 0.3739 +2023-12-25 08:24:24,190 - pyskl - INFO - Epoch [144][1100/1281] lr: 1.033e-04, eta: 0:51:26, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3728, loss: 0.3728 +2023-12-25 08:25:05,800 - pyskl - INFO - Epoch [144][1200/1281] lr: 1.007e-04, eta: 0:50:46, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3635, loss: 0.3635 +2023-12-25 08:25:40,028 - pyskl - INFO - Saving checkpoint at 144 epochs +2023-12-25 08:26:50,638 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:26:50,695 - pyskl - INFO - +top1_acc 0.9434 +top5_acc 0.9969 +2023-12-25 08:26:50,696 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:26:50,703 - pyskl - INFO - +mean_acc 0.9203 +2023-12-25 08:26:50,706 - pyskl - INFO - Epoch(val) [144][533] top1_acc: 0.9434, top5_acc: 0.9969, mean_class_accuracy: 0.9203 +2023-12-25 08:27:49,194 - pyskl - INFO - Epoch [145][100/1281] lr: 9.605e-05, eta: 0:49:35, time: 0.585, data_time: 0.161, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3727, loss: 0.3727 +2023-12-25 08:28:31,481 - pyskl - INFO - Epoch [145][200/1281] lr: 9.353e-05, eta: 0:48:56, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3755, loss: 0.3755 +2023-12-25 08:29:13,840 - pyskl - INFO - Epoch [145][300/1281] lr: 9.106e-05, eta: 0:48:17, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3676, loss: 0.3676 +2023-12-25 08:29:56,148 - pyskl - INFO - Epoch [145][400/1281] lr: 8.861e-05, eta: 0:47:38, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3702, loss: 0.3702 +2023-12-25 08:30:38,463 - pyskl - INFO - Epoch [145][500/1281] lr: 8.620e-05, eta: 0:46:59, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3707, loss: 0.3707 +2023-12-25 08:31:20,909 - pyskl - INFO - Epoch [145][600/1281] lr: 8.382e-05, eta: 0:46:19, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3678, loss: 0.3678 +2023-12-25 08:31:46,424 - pyskl - INFO - Epoch [145][700/1281] lr: 8.147e-05, eta: 0:45:40, time: 0.255, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3712, loss: 0.3712 +2023-12-25 08:32:30,177 - pyskl - INFO - Epoch [145][800/1281] lr: 7.916e-05, eta: 0:45:01, time: 0.438, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3719, loss: 0.3719 +2023-12-25 08:32:54,212 - pyskl - INFO - Epoch [145][900/1281] lr: 7.688e-05, eta: 0:44:21, time: 0.240, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3693, loss: 0.3693 +2023-12-25 08:33:36,013 - pyskl - INFO - Epoch [145][1000/1281] lr: 7.463e-05, eta: 0:43:42, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3699, loss: 0.3699 +2023-12-25 08:34:17,755 - pyskl - INFO - Epoch [145][1100/1281] lr: 7.242e-05, eta: 0:43:03, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3688, loss: 0.3688 +2023-12-25 08:34:59,470 - pyskl - INFO - Epoch [145][1200/1281] lr: 7.024e-05, eta: 0:42:23, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3823, loss: 0.3823 +2023-12-25 08:35:33,691 - pyskl - INFO - Saving checkpoint at 145 epochs +2023-12-25 08:36:43,976 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:36:44,029 - pyskl - INFO - +top1_acc 0.9428 +top5_acc 0.9967 +2023-12-25 08:36:44,029 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:36:44,035 - pyskl - INFO - +mean_acc 0.9212 +2023-12-25 08:36:44,037 - pyskl - INFO - Epoch(val) [145][533] top1_acc: 0.9428, top5_acc: 0.9967, mean_class_accuracy: 0.9212 +2023-12-25 08:37:42,072 - pyskl - INFO - Epoch [146][100/1281] lr: 6.638e-05, eta: 0:41:12, time: 0.580, data_time: 0.164, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3725, loss: 0.3725 +2023-12-25 08:38:23,652 - pyskl - INFO - Epoch [146][200/1281] lr: 6.429e-05, eta: 0:40:33, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3735, loss: 0.3735 +2023-12-25 08:39:05,363 - pyskl - INFO - Epoch [146][300/1281] lr: 6.224e-05, eta: 0:39:54, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3709, loss: 0.3709 +2023-12-25 08:39:47,132 - pyskl - INFO - Epoch [146][400/1281] lr: 6.022e-05, eta: 0:39:15, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3688, loss: 0.3688 +2023-12-25 08:40:28,913 - pyskl - INFO - Epoch [146][500/1281] lr: 5.823e-05, eta: 0:38:35, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3707, loss: 0.3707 +2023-12-25 08:41:10,576 - pyskl - INFO - Epoch [146][600/1281] lr: 5.628e-05, eta: 0:37:56, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3693, loss: 0.3693 +2023-12-25 08:41:35,679 - pyskl - INFO - Epoch [146][700/1281] lr: 5.436e-05, eta: 0:37:17, time: 0.251, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3744, loss: 0.3744 +2023-12-25 08:42:19,714 - pyskl - INFO - Epoch [146][800/1281] lr: 5.247e-05, eta: 0:36:38, time: 0.440, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3690, loss: 0.3690 +2023-12-25 08:42:45,386 - pyskl - INFO - Epoch [146][900/1281] lr: 5.061e-05, eta: 0:35:58, time: 0.257, data_time: 0.001, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3743, loss: 0.3743 +2023-12-25 08:43:25,693 - pyskl - INFO - Epoch [146][1000/1281] lr: 4.879e-05, eta: 0:35:19, time: 0.403, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3654, loss: 0.3654 +2023-12-25 08:44:08,200 - pyskl - INFO - Epoch [146][1100/1281] lr: 4.701e-05, eta: 0:34:40, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3686, loss: 0.3686 +2023-12-25 08:44:50,694 - pyskl - INFO - Epoch [146][1200/1281] lr: 4.525e-05, eta: 0:34:01, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3727, loss: 0.3727 +2023-12-25 08:45:25,594 - pyskl - INFO - Saving checkpoint at 146 epochs +2023-12-25 08:46:36,584 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:46:36,640 - pyskl - INFO - +top1_acc 0.9439 +top5_acc 0.9967 +2023-12-25 08:46:36,640 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:46:36,648 - pyskl - INFO - +mean_acc 0.9228 +2023-12-25 08:46:36,651 - pyskl - INFO - Epoch(val) [146][533] top1_acc: 0.9439, top5_acc: 0.9967, mean_class_accuracy: 0.9228 +2023-12-25 08:47:34,884 - pyskl - INFO - Epoch [147][100/1281] lr: 4.216e-05, eta: 0:32:49, time: 0.582, data_time: 0.164, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3754, loss: 0.3754 +2023-12-25 08:48:16,594 - pyskl - INFO - Epoch [147][200/1281] lr: 4.050e-05, eta: 0:32:10, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3708, loss: 0.3708 +2023-12-25 08:48:58,342 - pyskl - INFO - Epoch [147][300/1281] lr: 3.887e-05, eta: 0:31:31, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3672, loss: 0.3672 +2023-12-25 08:49:39,983 - pyskl - INFO - Epoch [147][400/1281] lr: 3.728e-05, eta: 0:30:52, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3702, loss: 0.3702 +2023-12-25 08:50:21,598 - pyskl - INFO - Epoch [147][500/1281] lr: 3.572e-05, eta: 0:30:13, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3816, loss: 0.3816 +2023-12-25 08:51:03,202 - pyskl - INFO - Epoch [147][600/1281] lr: 3.419e-05, eta: 0:29:34, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3640, loss: 0.3640 +2023-12-25 08:51:28,911 - pyskl - INFO - Epoch [147][700/1281] lr: 3.270e-05, eta: 0:28:54, time: 0.257, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3724, loss: 0.3724 +2023-12-25 08:52:11,587 - pyskl - INFO - Epoch [147][800/1281] lr: 3.124e-05, eta: 0:28:15, time: 0.427, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3765, loss: 0.3765 +2023-12-25 08:52:39,366 - pyskl - INFO - Epoch [147][900/1281] lr: 2.981e-05, eta: 0:27:35, time: 0.278, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3690, loss: 0.3690 +2023-12-25 08:53:17,748 - pyskl - INFO - Epoch [147][1000/1281] lr: 2.842e-05, eta: 0:26:56, time: 0.384, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3670, loss: 0.3670 +2023-12-25 08:54:00,250 - pyskl - INFO - Epoch [147][1100/1281] lr: 2.706e-05, eta: 0:26:17, time: 0.425, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3684, loss: 0.3684 +2023-12-25 08:54:42,261 - pyskl - INFO - Epoch [147][1200/1281] lr: 2.573e-05, eta: 0:25:38, time: 0.420, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3732, loss: 0.3732 +2023-12-25 08:55:16,555 - pyskl - INFO - Saving checkpoint at 147 epochs +2023-12-25 08:56:27,458 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:56:27,518 - pyskl - INFO - +top1_acc 0.9426 +top5_acc 0.9960 +2023-12-25 08:56:27,518 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:56:27,528 - pyskl - INFO - +mean_acc 0.9195 +2023-12-25 08:56:27,531 - pyskl - INFO - Epoch(val) [147][533] top1_acc: 0.9426, top5_acc: 0.9960, mean_class_accuracy: 0.9195 +2023-12-25 08:57:25,892 - pyskl - INFO - Epoch [148][100/1281] lr: 2.341e-05, eta: 0:24:27, time: 0.584, data_time: 0.166, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3644, loss: 0.3644 +2023-12-25 08:58:07,673 - pyskl - INFO - Epoch [148][200/1281] lr: 2.218e-05, eta: 0:23:48, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3768, loss: 0.3768 +2023-12-25 08:58:49,349 - pyskl - INFO - Epoch [148][300/1281] lr: 2.098e-05, eta: 0:23:08, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3671, loss: 0.3671 +2023-12-25 08:59:30,950 - pyskl - INFO - Epoch [148][400/1281] lr: 1.981e-05, eta: 0:22:29, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3653, loss: 0.3653 +2023-12-25 09:00:12,753 - pyskl - INFO - Epoch [148][500/1281] lr: 1.868e-05, eta: 0:21:50, time: 0.418, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3732, loss: 0.3732 +2023-12-25 09:00:54,477 - pyskl - INFO - Epoch [148][600/1281] lr: 1.758e-05, eta: 0:21:11, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3695, loss: 0.3695 +2023-12-25 09:01:22,296 - pyskl - INFO - Epoch [148][700/1281] lr: 1.651e-05, eta: 0:20:32, time: 0.278, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3691, loss: 0.3691 +2023-12-25 09:02:02,878 - pyskl - INFO - Epoch [148][800/1281] lr: 1.548e-05, eta: 0:19:52, time: 0.406, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3686, loss: 0.3686 +2023-12-25 09:02:32,653 - pyskl - INFO - Epoch [148][900/1281] lr: 1.448e-05, eta: 0:19:13, time: 0.298, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3705, loss: 0.3705 +2023-12-25 09:03:09,517 - pyskl - INFO - Epoch [148][1000/1281] lr: 1.351e-05, eta: 0:18:34, time: 0.369, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3683, loss: 0.3683 +2023-12-25 09:03:51,932 - pyskl - INFO - Epoch [148][1100/1281] lr: 1.258e-05, eta: 0:17:55, time: 0.424, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3693, loss: 0.3693 +2023-12-25 09:04:34,277 - pyskl - INFO - Epoch [148][1200/1281] lr: 1.168e-05, eta: 0:17:15, time: 0.423, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3737, loss: 0.3737 +2023-12-25 09:05:09,179 - pyskl - INFO - Saving checkpoint at 148 epochs +2023-12-25 09:06:20,058 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 09:06:20,114 - pyskl - INFO - +top1_acc 0.9443 +top5_acc 0.9971 +2023-12-25 09:06:20,114 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 09:06:20,122 - pyskl - INFO - +mean_acc 0.9223 +2023-12-25 09:06:20,124 - pyskl - INFO - Epoch(val) [148][533] top1_acc: 0.9443, top5_acc: 0.9971, mean_class_accuracy: 0.9223 +2023-12-25 09:07:18,291 - pyskl - INFO - Epoch [149][100/1281] lr: 1.013e-05, eta: 0:16:04, time: 0.582, data_time: 0.165, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3695, loss: 0.3695 +2023-12-25 09:07:59,940 - pyskl - INFO - Epoch [149][200/1281] lr: 9.328e-06, eta: 0:15:25, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3672, loss: 0.3672 +2023-12-25 09:08:41,589 - pyskl - INFO - Epoch [149][300/1281] lr: 8.555e-06, eta: 0:14:46, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3697, loss: 0.3697 +2023-12-25 09:09:23,190 - pyskl - INFO - Epoch [149][400/1281] lr: 7.816e-06, eta: 0:14:07, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3714, loss: 0.3714 +2023-12-25 09:10:04,650 - pyskl - INFO - Epoch [149][500/1281] lr: 7.110e-06, eta: 0:13:28, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3650, loss: 0.3650 +2023-12-25 09:10:46,184 - pyskl - INFO - Epoch [149][600/1281] lr: 6.437e-06, eta: 0:12:49, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3747, loss: 0.3747 +2023-12-25 09:11:15,227 - pyskl - INFO - Epoch [149][700/1281] lr: 5.798e-06, eta: 0:12:09, time: 0.290, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3646, loss: 0.3646 +2023-12-25 09:11:54,912 - pyskl - INFO - Epoch [149][800/1281] lr: 5.192e-06, eta: 0:11:30, time: 0.397, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3771, loss: 0.3771 +2023-12-25 09:12:25,557 - pyskl - INFO - Epoch [149][900/1281] lr: 4.620e-06, eta: 0:10:51, time: 0.306, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3671, loss: 0.3671 +2023-12-25 09:13:00,580 - pyskl - INFO - Epoch [149][1000/1281] lr: 4.081e-06, eta: 0:10:12, time: 0.350, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3643, loss: 0.3643 +2023-12-25 09:13:42,168 - pyskl - INFO - Epoch [149][1100/1281] lr: 3.576e-06, eta: 0:09:32, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3665, loss: 0.3665 +2023-12-25 09:14:23,718 - pyskl - INFO - Epoch [149][1200/1281] lr: 3.104e-06, eta: 0:08:53, time: 0.415, data_time: 0.001, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3722, loss: 0.3722 +2023-12-25 09:14:57,886 - pyskl - INFO - Saving checkpoint at 149 epochs +2023-12-25 09:16:09,315 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 09:16:09,370 - pyskl - INFO - +top1_acc 0.9426 +top5_acc 0.9961 +2023-12-25 09:16:09,370 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 09:16:09,377 - pyskl - INFO - +mean_acc 0.9209 +2023-12-25 09:16:09,379 - pyskl - INFO - Epoch(val) [149][533] top1_acc: 0.9426, top5_acc: 0.9961, mean_class_accuracy: 0.9209 +2023-12-25 09:17:07,762 - pyskl - INFO - Epoch [150][100/1281] lr: 2.334e-06, eta: 0:07:42, time: 0.584, data_time: 0.163, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3690, loss: 0.3690 +2023-12-25 09:17:49,492 - pyskl - INFO - Epoch [150][200/1281] lr: 1.956e-06, eta: 0:07:03, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.3667, loss: 0.3667 +2023-12-25 09:18:31,123 - pyskl - INFO - Epoch [150][300/1281] lr: 1.611e-06, eta: 0:06:24, time: 0.416, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3654, loss: 0.3654 +2023-12-25 09:19:12,656 - pyskl - INFO - Epoch [150][400/1281] lr: 1.300e-06, eta: 0:05:45, time: 0.415, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3700, loss: 0.3700 +2023-12-25 09:19:54,315 - pyskl - INFO - Epoch [150][500/1281] lr: 1.022e-06, eta: 0:05:06, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3732, loss: 0.3732 +2023-12-25 09:20:36,024 - pyskl - INFO - Epoch [150][600/1281] lr: 7.771e-07, eta: 0:04:26, time: 0.417, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3700, loss: 0.3700 +2023-12-25 09:21:05,733 - pyskl - INFO - Epoch [150][700/1281] lr: 5.659e-07, eta: 0:03:47, time: 0.297, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3663, loss: 0.3663 +2023-12-25 09:21:44,460 - pyskl - INFO - Epoch [150][800/1281] lr: 3.881e-07, eta: 0:03:08, time: 0.387, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3740, loss: 0.3740 +2023-12-25 09:22:15,939 - pyskl - INFO - Epoch [150][900/1281] lr: 2.438e-07, eta: 0:02:29, time: 0.315, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3715, loss: 0.3715 +2023-12-25 09:22:47,647 - pyskl - INFO - Epoch [150][1000/1281] lr: 1.329e-07, eta: 0:01:50, time: 0.317, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3676, loss: 0.3676 +2023-12-25 09:23:30,589 - pyskl - INFO - Epoch [150][1100/1281] lr: 5.534e-08, eta: 0:01:10, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3726, loss: 0.3726 +2023-12-25 09:24:13,503 - pyskl - INFO - Epoch [150][1200/1281] lr: 1.123e-08, eta: 0:00:31, time: 0.429, data_time: 0.000, memory: 4120, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.3692, loss: 0.3692 +2023-12-25 09:24:48,618 - pyskl - INFO - Saving checkpoint at 150 epochs +2023-12-25 09:26:01,276 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 09:26:01,330 - pyskl - INFO - +top1_acc 0.9443 +top5_acc 0.9968 +2023-12-25 09:26:01,330 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 09:26:01,336 - pyskl - INFO - +mean_acc 0.9218 +2023-12-25 09:26:01,338 - pyskl - INFO - Epoch(val) [150][533] top1_acc: 0.9443, top5_acc: 0.9968, mean_class_accuracy: 0.9218 +2023-12-25 09:26:05,672 - pyskl - INFO - 8521 videos remain after valid thresholding +2023-12-25 09:36:09,638 - pyskl - INFO - Testing results of the last checkpoint +2023-12-25 09:36:09,638 - pyskl - INFO - top1_acc: 0.9437 +2023-12-25 09:36:09,638 - pyskl - INFO - top5_acc: 0.9972 +2023-12-25 09:36:09,638 - pyskl - INFO - mean_class_accuracy: 0.9216 +2023-12-25 09:36:09,639 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/finegym/k_1/best_top1_acc_epoch_141.pth +2023-12-25 09:44:20,046 - pyskl - INFO - Testing results of the best checkpoint +2023-12-25 09:44:20,046 - pyskl - INFO - top1_acc: 0.9444 +2023-12-25 09:44:20,046 - pyskl - INFO - top5_acc: 0.9969 +2023-12-25 09:44:20,046 - pyskl - INFO - mean_class_accuracy: 0.9224