diff --git "a/finegym/j_2/20231224_082026.log" "b/finegym/j_2/20231224_082026.log" new file mode 100644--- /dev/null +++ "b/finegym/j_2/20231224_082026.log" @@ -0,0 +1,3471 @@ +2023-12-24 08:20:26,777 - 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 08:20:27,185 - pyskl - INFO - Config: modality = 'j' +graph = 'coco_new' +work_dir = './work_dirs/test_prototype/finegym/j_2' +model = dict( + type='RecognizerGCN_7_1_1', + backbone=dict( + type='GCN_7_1_2', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='coco_new', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead_7_4_12', num_classes=99, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/gym/gym_hrnet.pkl' +left_kp = [1, 3, 5, 7, 9, 11, 13, 15] +right_kp = [2, 4, 6, 8, 10, 12, 14, 16] +train_pipeline = [ + dict(type='UniformSampleFrames', clip_len=100), + dict(type='PoseDecode'), + dict( + type='Flip', + flip_ratio=0.5, + left_kp=[1, 3, 5, 7, 9, 11, 13, 15], + right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['j']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='UniformSampleFrames', clip_len=100, num_clips=1), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['j']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='UniformSampleFrames', clip_len=100, num_clips=10), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['j']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', + pipeline=[ + dict(type='UniformSampleFrames', clip_len=100), + dict(type='PoseDecode'), + dict( + type='Flip', + flip_ratio=0.5, + left_kp=[1, 3, 5, 7, 9, 11, 13, 15], + right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['j']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', + pipeline=[ + dict(type='UniformSampleFrames', clip_len=100, num_clips=1), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['j']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/gym/gym_hrnet.pkl', + pipeline=[ + dict(type='UniformSampleFrames', clip_len=100, num_clips=10), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['j']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict( + interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2023-12-24 08:20:27,186 - pyskl - INFO - Set random seed to 47397070, deterministic: False +2023-12-24 08:20:29,120 - pyskl - INFO - 20484 videos remain after valid thresholding +2023-12-24 08:20:37,448 - pyskl - INFO - 8521 videos remain after valid thresholding +2023-12-24 08:20:37,449 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2 +2023-12-24 08:20:37,450 - 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 08:20:37,450 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2023-12-24 08:20:37,450 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2 by HardDiskBackend. +2023-12-24 08:21:45,561 - pyskl - INFO - Epoch [1][100/1281] lr: 2.500e-02, eta: 1 day, 12:19:54, time: 0.681, data_time: 0.231, memory: 4130, top1_acc: 0.0656, top5_acc: 0.2206, loss_cls: 6.1122, loss: 6.1122 +2023-12-24 08:22:28,956 - pyskl - INFO - Epoch [1][200/1281] lr: 2.500e-02, eta: 1 day, 5:43:28, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.0806, top5_acc: 0.3006, loss_cls: 6.1096, loss: 6.1096 +2023-12-24 08:23:12,647 - pyskl - INFO - Epoch [1][300/1281] lr: 2.500e-02, eta: 1 day, 3:34:00, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.0963, top5_acc: 0.3381, loss_cls: 6.3700, loss: 6.3700 +2023-12-24 08:23:56,308 - pyskl - INFO - Epoch [1][400/1281] lr: 2.500e-02, eta: 1 day, 2:28:40, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.0912, top5_acc: 0.3819, loss_cls: 6.2910, loss: 6.2910 +2023-12-24 08:24:39,141 - pyskl - INFO - Epoch [1][500/1281] lr: 2.500e-02, eta: 1 day, 1:43:55, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.1412, top5_acc: 0.4650, loss_cls: 5.8904, loss: 5.8904 +2023-12-24 08:25:23,467 - pyskl - INFO - Epoch [1][600/1281] lr: 2.500e-02, eta: 1 day, 1:21:45, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.1844, top5_acc: 0.5106, loss_cls: 5.6519, loss: 5.6519 +2023-12-24 08:26:06,750 - pyskl - INFO - Epoch [1][700/1281] lr: 2.500e-02, eta: 1 day, 1:00:58, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.2294, top5_acc: 0.5887, loss_cls: 5.3430, loss: 5.3430 +2023-12-24 08:26:50,003 - pyskl - INFO - Epoch [1][800/1281] lr: 2.500e-02, eta: 1 day, 0:45:05, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.2662, top5_acc: 0.6631, loss_cls: 5.0222, loss: 5.0222 +2023-12-24 08:27:33,223 - pyskl - INFO - Epoch [1][900/1281] lr: 2.500e-02, eta: 1 day, 0:32:27, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.3031, top5_acc: 0.6663, loss_cls: 4.8592, loss: 4.8592 +2023-12-24 08:28:16,534 - pyskl - INFO - Epoch [1][1000/1281] lr: 2.500e-02, eta: 1 day, 0:22:29, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.3044, top5_acc: 0.6844, loss_cls: 4.7636, loss: 4.7636 +2023-12-24 08:28:59,195 - pyskl - INFO - Epoch [1][1100/1281] lr: 2.500e-02, eta: 1 day, 0:12:19, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.3262, top5_acc: 0.7131, loss_cls: 4.6589, loss: 4.6589 +2023-12-24 08:29:24,786 - pyskl - INFO - Epoch [1][1200/1281] lr: 2.500e-02, eta: 23:18:28, time: 0.256, data_time: 0.001, memory: 4130, top1_acc: 0.3600, top5_acc: 0.7506, loss_cls: 4.5064, loss: 4.5064 +2023-12-24 08:30:01,081 - pyskl - INFO - Saving checkpoint at 1 epochs +2023-12-24 08:31:07,136 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 08:31:07,201 - pyskl - INFO - +top1_acc 0.3610 +top5_acc 0.7315 +2023-12-24 08:31:07,201 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 08:31:07,208 - pyskl - INFO - +mean_acc 0.1829 +2023-12-24 08:31:07,444 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2023-12-24 08:31:07,444 - pyskl - INFO - Best top1_acc is 0.3610 at 1 epoch. +2023-12-24 08:31:07,447 - pyskl - INFO - Epoch(val) [1][533] top1_acc: 0.3610, top5_acc: 0.7315, mean_class_accuracy: 0.1829 +2023-12-24 08:32:13,790 - pyskl - INFO - Epoch [2][100/1281] lr: 2.500e-02, eta: 22:46:45, time: 0.663, data_time: 0.232, memory: 4130, top1_acc: 0.3894, top5_acc: 0.7994, loss_cls: 4.2175, loss: 4.2175 +2023-12-24 08:32:56,954 - pyskl - INFO - Epoch [2][200/1281] lr: 2.500e-02, eta: 22:46:24, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.4125, top5_acc: 0.7913, loss_cls: 4.1429, loss: 4.1429 +2023-12-24 08:33:39,777 - pyskl - INFO - Epoch [2][300/1281] lr: 2.500e-02, eta: 22:45:20, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.4331, top5_acc: 0.8094, loss_cls: 4.0155, loss: 4.0155 +2023-12-24 08:34:23,472 - pyskl - INFO - Epoch [2][400/1281] lr: 2.500e-02, eta: 22:45:57, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.4531, top5_acc: 0.8300, loss_cls: 3.9276, loss: 3.9276 +2023-12-24 08:35:07,541 - pyskl - INFO - Epoch [2][500/1281] lr: 2.499e-02, eta: 22:47:05, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.4662, top5_acc: 0.8525, loss_cls: 3.7829, loss: 3.7829 +2023-12-24 08:35:50,572 - pyskl - INFO - Epoch [2][600/1281] lr: 2.499e-02, eta: 22:46:16, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.4512, top5_acc: 0.8500, loss_cls: 3.8066, loss: 3.8066 +2023-12-24 08:36:34,616 - pyskl - INFO - Epoch [2][700/1281] lr: 2.499e-02, eta: 22:47:05, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.4856, top5_acc: 0.8588, loss_cls: 3.7442, loss: 3.7442 +2023-12-24 08:37:18,070 - pyskl - INFO - Epoch [2][800/1281] lr: 2.499e-02, eta: 22:46:51, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.4806, top5_acc: 0.8594, loss_cls: 3.7632, loss: 3.7632 +2023-12-24 08:38:00,897 - pyskl - INFO - Epoch [2][900/1281] lr: 2.499e-02, eta: 22:45:40, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.5000, top5_acc: 0.8819, loss_cls: 3.6418, loss: 3.6418 +2023-12-24 08:38:44,150 - pyskl - INFO - Epoch [2][1000/1281] lr: 2.499e-02, eta: 22:45:07, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.5019, top5_acc: 0.8881, loss_cls: 3.5544, loss: 3.5544 +2023-12-24 08:39:27,567 - pyskl - INFO - Epoch [2][1100/1281] lr: 2.499e-02, eta: 22:44:45, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.5069, top5_acc: 0.8788, loss_cls: 3.5534, loss: 3.5534 +2023-12-24 08:39:52,206 - pyskl - INFO - Epoch [2][1200/1281] lr: 2.499e-02, eta: 22:20:27, time: 0.246, data_time: 0.001, memory: 4130, top1_acc: 0.5344, top5_acc: 0.8956, loss_cls: 3.4715, loss: 3.4715 +2023-12-24 08:40:29,975 - pyskl - INFO - Saving checkpoint at 2 epochs +2023-12-24 08:41:38,005 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 08:41:38,060 - pyskl - INFO - +top1_acc 0.4734 +top5_acc 0.8650 +2023-12-24 08:41:38,060 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 08:41:38,070 - pyskl - INFO - +mean_acc 0.2983 +2023-12-24 08:41:38,075 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_1.pth was removed +2023-12-24 08:41:38,268 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2023-12-24 08:41:38,269 - pyskl - INFO - Best top1_acc is 0.4734 at 2 epoch. +2023-12-24 08:41:38,272 - pyskl - INFO - Epoch(val) [2][533] top1_acc: 0.4734, top5_acc: 0.8650, mean_class_accuracy: 0.2983 +2023-12-24 08:42:38,878 - pyskl - INFO - Epoch [3][100/1281] lr: 2.499e-02, eta: 22:00:00, time: 0.606, data_time: 0.176, memory: 4130, top1_acc: 0.5275, top5_acc: 0.9025, loss_cls: 3.3658, loss: 3.3658 +2023-12-24 08:43:22,091 - pyskl - INFO - Epoch [3][200/1281] lr: 2.499e-02, eta: 22:00:55, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.5437, top5_acc: 0.9094, loss_cls: 3.3102, loss: 3.3102 +2023-12-24 08:44:05,974 - pyskl - INFO - Epoch [3][300/1281] lr: 2.499e-02, eta: 22:02:28, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.5456, top5_acc: 0.9163, loss_cls: 3.3269, loss: 3.3269 +2023-12-24 08:44:50,075 - pyskl - INFO - Epoch [3][400/1281] lr: 2.499e-02, eta: 22:04:05, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.5262, top5_acc: 0.9125, loss_cls: 3.3440, loss: 3.3440 +2023-12-24 08:45:34,400 - pyskl - INFO - Epoch [3][500/1281] lr: 2.498e-02, eta: 22:05:48, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.5312, top5_acc: 0.9150, loss_cls: 3.3405, loss: 3.3405 +2023-12-24 08:46:17,122 - pyskl - INFO - Epoch [3][600/1281] lr: 2.498e-02, eta: 22:05:44, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.5431, top5_acc: 0.9113, loss_cls: 3.2920, loss: 3.2920 +2023-12-24 08:47:00,308 - pyskl - INFO - Epoch [3][700/1281] lr: 2.498e-02, eta: 22:06:06, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.5406, top5_acc: 0.9194, loss_cls: 3.3109, loss: 3.3109 +2023-12-24 08:47:43,812 - pyskl - INFO - Epoch [3][800/1281] lr: 2.498e-02, eta: 22:06:41, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.5687, top5_acc: 0.9237, loss_cls: 3.1871, loss: 3.1871 +2023-12-24 08:48:27,972 - pyskl - INFO - Epoch [3][900/1281] lr: 2.498e-02, eta: 22:07:48, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.5700, top5_acc: 0.9156, loss_cls: 3.2360, loss: 3.2360 +2023-12-24 08:49:11,869 - pyskl - INFO - Epoch [3][1000/1281] lr: 2.498e-02, eta: 22:08:34, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.5763, top5_acc: 0.9325, loss_cls: 3.1855, loss: 3.1855 +2023-12-24 08:49:56,021 - pyskl - INFO - Epoch [3][1100/1281] lr: 2.498e-02, eta: 22:09:28, time: 0.442, data_time: 0.000, memory: 4130, top1_acc: 0.5856, top5_acc: 0.9263, loss_cls: 3.1323, loss: 3.1323 +2023-12-24 08:50:21,100 - pyskl - INFO - Epoch [3][1200/1281] lr: 2.498e-02, eta: 21:54:23, time: 0.251, data_time: 0.001, memory: 4130, top1_acc: 0.5931, top5_acc: 0.9263, loss_cls: 3.1198, loss: 3.1198 +2023-12-24 08:50:58,022 - pyskl - INFO - Saving checkpoint at 3 epochs +2023-12-24 08:52:07,068 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 08:52:07,129 - pyskl - INFO - +top1_acc 0.5762 +top5_acc 0.9301 +2023-12-24 08:52:07,129 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 08:52:07,137 - pyskl - INFO - +mean_acc 0.4172 +2023-12-24 08:52:07,142 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_2.pth was removed +2023-12-24 08:52:07,410 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2023-12-24 08:52:07,411 - pyskl - INFO - Best top1_acc is 0.5762 at 3 epoch. +2023-12-24 08:52:07,414 - pyskl - INFO - Epoch(val) [3][533] top1_acc: 0.5762, top5_acc: 0.9301, mean_class_accuracy: 0.4172 +2023-12-24 08:53:15,281 - pyskl - INFO - Epoch [4][100/1281] lr: 2.497e-02, eta: 21:46:49, time: 0.679, data_time: 0.239, memory: 4130, top1_acc: 0.6031, top5_acc: 0.9525, loss_cls: 2.9981, loss: 2.9981 +2023-12-24 08:53:59,486 - pyskl - INFO - Epoch [4][200/1281] lr: 2.497e-02, eta: 21:48:06, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.5719, top5_acc: 0.9363, loss_cls: 3.1354, loss: 3.1354 +2023-12-24 08:54:42,919 - pyskl - INFO - Epoch [4][300/1281] lr: 2.497e-02, eta: 21:48:42, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.5900, top5_acc: 0.9356, loss_cls: 3.0777, loss: 3.0777 +2023-12-24 08:55:25,997 - pyskl - INFO - Epoch [4][400/1281] lr: 2.497e-02, eta: 21:48:58, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.5900, top5_acc: 0.9350, loss_cls: 3.0783, loss: 3.0783 +2023-12-24 08:56:09,716 - pyskl - INFO - Epoch [4][500/1281] lr: 2.497e-02, eta: 21:49:39, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.5988, top5_acc: 0.9369, loss_cls: 3.0536, loss: 3.0536 +2023-12-24 08:56:53,129 - pyskl - INFO - Epoch [4][600/1281] lr: 2.497e-02, eta: 21:50:04, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.5969, top5_acc: 0.9469, loss_cls: 3.0157, loss: 3.0157 +2023-12-24 08:57:36,373 - pyskl - INFO - Epoch [4][700/1281] lr: 2.497e-02, eta: 21:50:18, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.6325, top5_acc: 0.9450, loss_cls: 2.9293, loss: 2.9293 +2023-12-24 08:58:20,383 - pyskl - INFO - Epoch [4][800/1281] lr: 2.496e-02, eta: 21:51:01, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.6069, top5_acc: 0.9487, loss_cls: 3.0341, loss: 3.0341 +2023-12-24 08:59:03,376 - pyskl - INFO - Epoch [4][900/1281] lr: 2.496e-02, eta: 21:51:00, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.6244, top5_acc: 0.9481, loss_cls: 2.9538, loss: 2.9538 +2023-12-24 08:59:46,158 - pyskl - INFO - Epoch [4][1000/1281] lr: 2.496e-02, eta: 21:50:50, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.6306, top5_acc: 0.9500, loss_cls: 2.9412, loss: 2.9412 +2023-12-24 09:00:26,856 - pyskl - INFO - Epoch [4][1100/1281] lr: 2.496e-02, eta: 21:49:19, time: 0.407, data_time: 0.001, memory: 4130, top1_acc: 0.6412, top5_acc: 0.9563, loss_cls: 2.9318, loss: 2.9318 +2023-12-24 09:00:54,318 - pyskl - INFO - Epoch [4][1200/1281] lr: 2.496e-02, eta: 21:39:39, time: 0.275, data_time: 0.001, memory: 4130, top1_acc: 0.6138, top5_acc: 0.9487, loss_cls: 2.9913, loss: 2.9913 +2023-12-24 09:01:32,402 - pyskl - INFO - Saving checkpoint at 4 epochs +2023-12-24 09:02:46,047 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:02:46,123 - pyskl - INFO - +top1_acc 0.5968 +top5_acc 0.9373 +2023-12-24 09:02:46,123 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:02:46,132 - pyskl - INFO - +mean_acc 0.4396 +2023-12-24 09:02:46,138 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_3.pth was removed +2023-12-24 09:02:46,423 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2023-12-24 09:02:46,424 - pyskl - INFO - Best top1_acc is 0.5968 at 4 epoch. +2023-12-24 09:02:46,427 - pyskl - INFO - Epoch(val) [4][533] top1_acc: 0.5968, top5_acc: 0.9373, mean_class_accuracy: 0.4396 +2023-12-24 09:03:49,002 - pyskl - INFO - Epoch [5][100/1281] lr: 2.495e-02, eta: 21:30:43, time: 0.626, data_time: 0.196, memory: 4130, top1_acc: 0.6388, top5_acc: 0.9525, loss_cls: 2.8817, loss: 2.8817 +2023-12-24 09:04:32,262 - pyskl - INFO - Epoch [5][200/1281] lr: 2.495e-02, eta: 21:31:06, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.6231, top5_acc: 0.9587, loss_cls: 2.9166, loss: 2.9166 +2023-12-24 09:05:15,604 - pyskl - INFO - Epoch [5][300/1281] lr: 2.495e-02, eta: 21:31:29, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.6275, top5_acc: 0.9500, loss_cls: 2.9454, loss: 2.9454 +2023-12-24 09:05:59,671 - pyskl - INFO - Epoch [5][400/1281] lr: 2.495e-02, eta: 21:32:14, time: 0.441, data_time: 0.000, memory: 4130, top1_acc: 0.6763, top5_acc: 0.9606, loss_cls: 2.7808, loss: 2.7808 +2023-12-24 09:06:44,179 - pyskl - INFO - Epoch [5][500/1281] lr: 2.495e-02, eta: 21:33:10, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.6469, top5_acc: 0.9525, loss_cls: 2.8794, loss: 2.8794 +2023-12-24 09:07:27,882 - pyskl - INFO - Epoch [5][600/1281] lr: 2.495e-02, eta: 21:33:37, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.6600, top5_acc: 0.9556, loss_cls: 2.8047, loss: 2.8047 +2023-12-24 09:08:11,397 - pyskl - INFO - Epoch [5][700/1281] lr: 2.494e-02, eta: 21:33:56, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.6488, top5_acc: 0.9594, loss_cls: 2.8735, loss: 2.8735 +2023-12-24 09:08:56,413 - pyskl - INFO - Epoch [5][800/1281] lr: 2.494e-02, eta: 21:34:59, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.6606, top5_acc: 0.9500, loss_cls: 2.8471, loss: 2.8471 +2023-12-24 09:09:41,486 - pyskl - INFO - Epoch [5][900/1281] lr: 2.494e-02, eta: 21:36:01, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.6613, top5_acc: 0.9600, loss_cls: 2.8801, loss: 2.8801 +2023-12-24 09:10:26,672 - pyskl - INFO - Epoch [5][1000/1281] lr: 2.494e-02, eta: 21:37:03, time: 0.452, data_time: 0.000, memory: 4130, top1_acc: 0.6581, top5_acc: 0.9625, loss_cls: 2.7827, loss: 2.7827 +2023-12-24 09:11:06,351 - pyskl - INFO - Epoch [5][1100/1281] lr: 2.494e-02, eta: 21:35:17, time: 0.397, data_time: 0.000, memory: 4130, top1_acc: 0.6625, top5_acc: 0.9613, loss_cls: 2.8158, loss: 2.8158 +2023-12-24 09:11:35,647 - pyskl - INFO - Epoch [5][1200/1281] lr: 2.493e-02, eta: 21:28:27, time: 0.293, data_time: 0.001, memory: 4130, top1_acc: 0.6631, top5_acc: 0.9575, loss_cls: 2.7885, loss: 2.7885 +2023-12-24 09:12:13,183 - pyskl - INFO - Saving checkpoint at 5 epochs +2023-12-24 09:13:27,205 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:13:27,268 - pyskl - INFO - +top1_acc 0.6698 +top5_acc 0.9605 +2023-12-24 09:13:27,269 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:13:27,279 - pyskl - INFO - +mean_acc 0.5049 +2023-12-24 09:13:27,284 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_4.pth was removed +2023-12-24 09:13:27,548 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2023-12-24 09:13:27,548 - pyskl - INFO - Best top1_acc is 0.6698 at 5 epoch. +2023-12-24 09:13:27,551 - pyskl - INFO - Epoch(val) [5][533] top1_acc: 0.6698, top5_acc: 0.9605, mean_class_accuracy: 0.5049 +2023-12-24 09:14:34,310 - pyskl - INFO - Epoch [6][100/1281] lr: 2.493e-02, eta: 21:23:08, time: 0.668, data_time: 0.231, memory: 4130, top1_acc: 0.7056, top5_acc: 0.9644, loss_cls: 2.7115, loss: 2.7115 +2023-12-24 09:15:18,435 - pyskl - INFO - Epoch [6][200/1281] lr: 2.493e-02, eta: 21:23:41, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.6875, top5_acc: 0.9581, loss_cls: 2.7131, loss: 2.7131 +2023-12-24 09:16:01,931 - pyskl - INFO - Epoch [6][300/1281] lr: 2.492e-02, eta: 21:23:54, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.6837, top5_acc: 0.9563, loss_cls: 2.7557, loss: 2.7557 +2023-12-24 09:16:46,132 - pyskl - INFO - Epoch [6][400/1281] lr: 2.492e-02, eta: 21:24:25, time: 0.442, data_time: 0.000, memory: 4130, top1_acc: 0.6825, top5_acc: 0.9625, loss_cls: 2.7839, loss: 2.7839 +2023-12-24 09:17:31,054 - pyskl - INFO - Epoch [6][500/1281] lr: 2.492e-02, eta: 21:25:13, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.7031, top5_acc: 0.9731, loss_cls: 2.7066, loss: 2.7066 +2023-12-24 09:18:16,041 - pyskl - INFO - Epoch [6][600/1281] lr: 2.492e-02, eta: 21:26:01, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.7044, top5_acc: 0.9656, loss_cls: 2.7015, loss: 2.7015 +2023-12-24 09:19:01,177 - pyskl - INFO - Epoch [6][700/1281] lr: 2.492e-02, eta: 21:26:49, time: 0.451, data_time: 0.000, memory: 4130, top1_acc: 0.6963, top5_acc: 0.9594, loss_cls: 2.7181, loss: 2.7181 +2023-12-24 09:19:45,434 - pyskl - INFO - Epoch [6][800/1281] lr: 2.491e-02, eta: 21:27:12, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.6981, top5_acc: 0.9625, loss_cls: 2.6870, loss: 2.6870 +2023-12-24 09:20:28,253 - pyskl - INFO - Epoch [6][900/1281] lr: 2.491e-02, eta: 21:26:57, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.6831, top5_acc: 0.9706, loss_cls: 2.6995, loss: 2.6995 +2023-12-24 09:21:11,315 - pyskl - INFO - Epoch [6][1000/1281] lr: 2.491e-02, eta: 21:26:47, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.7044, top5_acc: 0.9675, loss_cls: 2.6681, loss: 2.6681 +2023-12-24 09:21:48,213 - pyskl - INFO - Epoch [6][1100/1281] lr: 2.491e-02, eta: 21:24:05, time: 0.369, data_time: 0.001, memory: 4130, top1_acc: 0.6894, top5_acc: 0.9544, loss_cls: 2.7622, loss: 2.7622 +2023-12-24 09:22:20,445 - pyskl - INFO - Epoch [6][1200/1281] lr: 2.490e-02, eta: 21:19:33, time: 0.322, data_time: 0.001, memory: 4130, top1_acc: 0.7200, top5_acc: 0.9800, loss_cls: 2.6078, loss: 2.6078 +2023-12-24 09:22:58,473 - pyskl - INFO - Saving checkpoint at 6 epochs +2023-12-24 09:24:17,011 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:24:17,077 - pyskl - INFO - +top1_acc 0.6585 +top5_acc 0.9597 +2023-12-24 09:24:17,077 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:24:17,087 - pyskl - INFO - +mean_acc 0.5125 +2023-12-24 09:24:17,091 - pyskl - INFO - Epoch(val) [6][533] top1_acc: 0.6585, top5_acc: 0.9597, mean_class_accuracy: 0.5125 +2023-12-24 09:25:18,911 - pyskl - INFO - Epoch [7][100/1281] lr: 2.490e-02, eta: 21:12:58, time: 0.618, data_time: 0.174, memory: 4130, top1_acc: 0.6906, top5_acc: 0.9694, loss_cls: 2.6916, loss: 2.6916 +2023-12-24 09:26:04,073 - pyskl - INFO - Epoch [7][200/1281] lr: 2.490e-02, eta: 21:13:44, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.7294, top5_acc: 0.9756, loss_cls: 2.5944, loss: 2.5944 +2023-12-24 09:26:48,967 - pyskl - INFO - Epoch [7][300/1281] lr: 2.489e-02, eta: 21:14:21, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.6987, top5_acc: 0.9719, loss_cls: 2.6618, loss: 2.6618 +2023-12-24 09:27:33,999 - pyskl - INFO - Epoch [7][400/1281] lr: 2.489e-02, eta: 21:15:00, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.7212, top5_acc: 0.9700, loss_cls: 2.6355, loss: 2.6355 +2023-12-24 09:28:18,727 - pyskl - INFO - Epoch [7][500/1281] lr: 2.489e-02, eta: 21:15:29, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.7081, top5_acc: 0.9775, loss_cls: 2.6010, loss: 2.6010 +2023-12-24 09:29:02,330 - pyskl - INFO - Epoch [7][600/1281] lr: 2.489e-02, eta: 21:15:32, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.7119, top5_acc: 0.9744, loss_cls: 2.6740, loss: 2.6740 +2023-12-24 09:29:45,458 - pyskl - INFO - Epoch [7][700/1281] lr: 2.488e-02, eta: 21:15:24, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.7131, top5_acc: 0.9719, loss_cls: 2.6274, loss: 2.6274 +2023-12-24 09:30:29,791 - pyskl - INFO - Epoch [7][800/1281] lr: 2.488e-02, eta: 21:15:40, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.7231, top5_acc: 0.9725, loss_cls: 2.5769, loss: 2.5769 +2023-12-24 09:31:13,504 - pyskl - INFO - Epoch [7][900/1281] lr: 2.488e-02, eta: 21:15:42, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.7100, top5_acc: 0.9706, loss_cls: 2.6085, loss: 2.6085 +2023-12-24 09:31:56,766 - pyskl - INFO - Epoch [7][1000/1281] lr: 2.487e-02, eta: 21:15:33, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7244, top5_acc: 0.9825, loss_cls: 2.5704, loss: 2.5704 +2023-12-24 09:32:34,216 - pyskl - INFO - Epoch [7][1100/1281] lr: 2.487e-02, eta: 21:13:23, time: 0.374, data_time: 0.001, memory: 4130, top1_acc: 0.7194, top5_acc: 0.9731, loss_cls: 2.6398, loss: 2.6398 +2023-12-24 09:33:04,417 - pyskl - INFO - Epoch [7][1200/1281] lr: 2.487e-02, eta: 21:08:44, time: 0.302, data_time: 0.001, memory: 4130, top1_acc: 0.7113, top5_acc: 0.9688, loss_cls: 2.6542, loss: 2.6542 +2023-12-24 09:33:41,969 - pyskl - INFO - Saving checkpoint at 7 epochs +2023-12-24 09:34:58,615 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:34:58,679 - pyskl - INFO - +top1_acc 0.7183 +top5_acc 0.9651 +2023-12-24 09:34:58,679 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:34:58,691 - pyskl - INFO - +mean_acc 0.5919 +2023-12-24 09:34:58,695 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_5.pth was removed +2023-12-24 09:34:58,941 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2023-12-24 09:34:58,942 - pyskl - INFO - Best top1_acc is 0.7183 at 7 epoch. +2023-12-24 09:34:58,944 - pyskl - INFO - Epoch(val) [7][533] top1_acc: 0.7183, top5_acc: 0.9651, mean_class_accuracy: 0.5919 +2023-12-24 09:36:07,425 - pyskl - INFO - Epoch [8][100/1281] lr: 2.486e-02, eta: 21:05:14, time: 0.685, data_time: 0.235, memory: 4130, top1_acc: 0.7087, top5_acc: 0.9688, loss_cls: 2.6766, loss: 2.6766 +2023-12-24 09:36:52,170 - pyskl - INFO - Epoch [8][200/1281] lr: 2.486e-02, eta: 21:05:38, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.7150, top5_acc: 0.9700, loss_cls: 2.6160, loss: 2.6160 +2023-12-24 09:37:35,159 - pyskl - INFO - Epoch [8][300/1281] lr: 2.486e-02, eta: 21:05:26, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.7281, top5_acc: 0.9794, loss_cls: 2.6019, loss: 2.6019 +2023-12-24 09:38:18,123 - pyskl - INFO - Epoch [8][400/1281] lr: 2.485e-02, eta: 21:05:12, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.7406, top5_acc: 0.9781, loss_cls: 2.5638, loss: 2.5638 +2023-12-24 09:39:01,521 - pyskl - INFO - Epoch [8][500/1281] lr: 2.485e-02, eta: 21:05:07, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.7225, top5_acc: 0.9800, loss_cls: 2.5615, loss: 2.5615 +2023-12-24 09:39:44,814 - pyskl - INFO - Epoch [8][600/1281] lr: 2.485e-02, eta: 21:04:58, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7325, top5_acc: 0.9706, loss_cls: 2.5706, loss: 2.5706 +2023-12-24 09:40:29,711 - pyskl - INFO - Epoch [8][700/1281] lr: 2.484e-02, eta: 21:05:20, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.7069, top5_acc: 0.9694, loss_cls: 2.6411, loss: 2.6411 +2023-12-24 09:41:14,484 - pyskl - INFO - Epoch [8][800/1281] lr: 2.484e-02, eta: 21:05:37, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.7412, top5_acc: 0.9794, loss_cls: 2.5588, loss: 2.5588 +2023-12-24 09:41:57,367 - pyskl - INFO - Epoch [8][900/1281] lr: 2.484e-02, eta: 21:05:18, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.7300, top5_acc: 0.9762, loss_cls: 2.5805, loss: 2.5805 +2023-12-24 09:42:40,410 - pyskl - INFO - Epoch [8][1000/1281] lr: 2.483e-02, eta: 21:05:02, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.7231, top5_acc: 0.9706, loss_cls: 2.5931, loss: 2.5931 +2023-12-24 09:43:15,298 - pyskl - INFO - Epoch [8][1100/1281] lr: 2.483e-02, eta: 21:02:18, time: 0.349, data_time: 0.001, memory: 4130, top1_acc: 0.7556, top5_acc: 0.9756, loss_cls: 2.5273, loss: 2.5273 +2023-12-24 09:43:48,720 - pyskl - INFO - Epoch [8][1200/1281] lr: 2.483e-02, eta: 20:59:10, time: 0.334, data_time: 0.001, memory: 4130, top1_acc: 0.7350, top5_acc: 0.9750, loss_cls: 2.5861, loss: 2.5861 +2023-12-24 09:44:26,210 - pyskl - INFO - Saving checkpoint at 8 epochs +2023-12-24 09:45:46,109 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:45:46,180 - pyskl - INFO - +top1_acc 0.7063 +top5_acc 0.9649 +2023-12-24 09:45:46,180 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:45:46,190 - pyskl - INFO - +mean_acc 0.5691 +2023-12-24 09:45:46,193 - pyskl - INFO - Epoch(val) [8][533] top1_acc: 0.7063, top5_acc: 0.9649, mean_class_accuracy: 0.5691 +2023-12-24 09:46:47,243 - pyskl - INFO - Epoch [9][100/1281] lr: 2.482e-02, eta: 20:53:47, time: 0.610, data_time: 0.183, memory: 4130, top1_acc: 0.7412, top5_acc: 0.9775, loss_cls: 2.5634, loss: 2.5634 +2023-12-24 09:47:31,583 - pyskl - INFO - Epoch [9][200/1281] lr: 2.482e-02, eta: 20:53:57, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.7338, top5_acc: 0.9762, loss_cls: 2.5683, loss: 2.5683 +2023-12-24 09:48:15,097 - pyskl - INFO - Epoch [9][300/1281] lr: 2.481e-02, eta: 20:53:52, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.7331, top5_acc: 0.9788, loss_cls: 2.5752, loss: 2.5752 +2023-12-24 09:48:58,775 - pyskl - INFO - Epoch [9][400/1281] lr: 2.481e-02, eta: 20:53:49, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.7381, top5_acc: 0.9731, loss_cls: 2.5348, loss: 2.5348 +2023-12-24 09:49:43,655 - pyskl - INFO - Epoch [9][500/1281] lr: 2.481e-02, eta: 20:54:06, time: 0.449, data_time: 0.000, memory: 4130, top1_acc: 0.7531, top5_acc: 0.9762, loss_cls: 2.5224, loss: 2.5224 +2023-12-24 09:50:27,845 - pyskl - INFO - Epoch [9][600/1281] lr: 2.480e-02, eta: 20:54:09, time: 0.442, data_time: 0.000, memory: 4130, top1_acc: 0.7481, top5_acc: 0.9712, loss_cls: 2.5434, loss: 2.5434 +2023-12-24 09:51:11,742 - pyskl - INFO - Epoch [9][700/1281] lr: 2.480e-02, eta: 20:54:07, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.7562, top5_acc: 0.9738, loss_cls: 2.5384, loss: 2.5384 +2023-12-24 09:51:55,036 - pyskl - INFO - Epoch [9][800/1281] lr: 2.480e-02, eta: 20:53:55, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7444, top5_acc: 0.9725, loss_cls: 2.5712, loss: 2.5712 +2023-12-24 09:52:38,533 - pyskl - INFO - Epoch [9][900/1281] lr: 2.479e-02, eta: 20:53:45, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.7762, top5_acc: 0.9769, loss_cls: 2.4550, loss: 2.4550 +2023-12-24 09:53:22,031 - pyskl - INFO - Epoch [9][1000/1281] lr: 2.479e-02, eta: 20:53:35, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.7469, top5_acc: 0.9725, loss_cls: 2.5614, loss: 2.5614 +2023-12-24 09:53:57,962 - pyskl - INFO - Epoch [9][1100/1281] lr: 2.479e-02, eta: 20:51:23, time: 0.359, data_time: 0.001, memory: 4130, top1_acc: 0.7362, top5_acc: 0.9744, loss_cls: 2.5814, loss: 2.5814 +2023-12-24 09:54:31,734 - pyskl - INFO - Epoch [9][1200/1281] lr: 2.478e-02, eta: 20:48:39, time: 0.338, data_time: 0.000, memory: 4130, top1_acc: 0.7388, top5_acc: 0.9750, loss_cls: 2.5684, loss: 2.5684 +2023-12-24 09:55:08,087 - pyskl - INFO - Saving checkpoint at 9 epochs +2023-12-24 09:56:26,748 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 09:56:26,826 - pyskl - INFO - +top1_acc 0.7147 +top5_acc 0.9668 +2023-12-24 09:56:26,827 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 09:56:26,845 - pyskl - INFO - +mean_acc 0.6084 +2023-12-24 09:56:26,851 - pyskl - INFO - Epoch(val) [9][533] top1_acc: 0.7147, top5_acc: 0.9668, mean_class_accuracy: 0.6084 +2023-12-24 09:57:34,441 - pyskl - INFO - Epoch [10][100/1281] lr: 2.477e-02, eta: 20:45:28, time: 0.676, data_time: 0.231, memory: 4130, top1_acc: 0.7600, top5_acc: 0.9781, loss_cls: 2.4956, loss: 2.4956 +2023-12-24 09:58:17,833 - pyskl - INFO - Epoch [10][200/1281] lr: 2.477e-02, eta: 20:45:17, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.7450, top5_acc: 0.9794, loss_cls: 2.5200, loss: 2.5200 +2023-12-24 09:59:01,715 - pyskl - INFO - Epoch [10][300/1281] lr: 2.477e-02, eta: 20:45:14, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.7519, top5_acc: 0.9781, loss_cls: 2.5248, loss: 2.5248 +2023-12-24 09:59:46,111 - pyskl - INFO - Epoch [10][400/1281] lr: 2.476e-02, eta: 20:45:17, time: 0.444, data_time: 0.000, memory: 4130, top1_acc: 0.7519, top5_acc: 0.9750, loss_cls: 2.5351, loss: 2.5351 +2023-12-24 10:00:29,522 - pyskl - INFO - Epoch [10][500/1281] lr: 2.476e-02, eta: 20:45:05, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.7688, top5_acc: 0.9788, loss_cls: 2.4745, loss: 2.4745 +2023-12-24 10:01:12,962 - pyskl - INFO - Epoch [10][600/1281] lr: 2.476e-02, eta: 20:44:52, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.7600, top5_acc: 0.9806, loss_cls: 2.4742, loss: 2.4742 +2023-12-24 10:01:56,242 - pyskl - INFO - Epoch [10][700/1281] lr: 2.475e-02, eta: 20:44:37, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7481, top5_acc: 0.9800, loss_cls: 2.5349, loss: 2.5349 +2023-12-24 10:02:39,868 - pyskl - INFO - Epoch [10][800/1281] lr: 2.475e-02, eta: 20:44:27, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.7369, top5_acc: 0.9700, loss_cls: 2.5910, loss: 2.5910 +2023-12-24 10:03:23,592 - pyskl - INFO - Epoch [10][900/1281] lr: 2.474e-02, eta: 20:44:17, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.7519, top5_acc: 0.9819, loss_cls: 2.4893, loss: 2.4893 +2023-12-24 10:04:08,451 - pyskl - INFO - Epoch [10][1000/1281] lr: 2.474e-02, eta: 20:44:23, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.7494, top5_acc: 0.9794, loss_cls: 2.5079, loss: 2.5079 +2023-12-24 10:04:42,518 - pyskl - INFO - Epoch [10][1100/1281] lr: 2.473e-02, eta: 20:41:55, time: 0.341, data_time: 0.001, memory: 4130, top1_acc: 0.7312, top5_acc: 0.9750, loss_cls: 2.5677, loss: 2.5677 +2023-12-24 10:05:19,079 - pyskl - INFO - Epoch [10][1200/1281] lr: 2.473e-02, eta: 20:40:03, time: 0.366, data_time: 0.001, memory: 4130, top1_acc: 0.7525, top5_acc: 0.9812, loss_cls: 2.5155, loss: 2.5155 +2023-12-24 10:05:53,778 - pyskl - INFO - Saving checkpoint at 10 epochs +2023-12-24 10:07:13,511 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 10:07:13,571 - pyskl - INFO - +top1_acc 0.6985 +top5_acc 0.9728 +2023-12-24 10:07:13,572 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 10:07:13,580 - pyskl - INFO - +mean_acc 0.5963 +2023-12-24 10:07:13,582 - pyskl - INFO - Epoch(val) [10][533] top1_acc: 0.6985, top5_acc: 0.9728, mean_class_accuracy: 0.5963 +2023-12-24 10:08:16,246 - pyskl - INFO - Epoch [11][100/1281] lr: 2.472e-02, eta: 20:35:56, time: 0.627, data_time: 0.189, memory: 4130, top1_acc: 0.7825, top5_acc: 0.9844, loss_cls: 2.4296, loss: 2.4296 +2023-12-24 10:09:01,411 - pyskl - INFO - Epoch [11][200/1281] lr: 2.472e-02, eta: 20:36:07, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.7600, top5_acc: 0.9825, loss_cls: 2.4663, loss: 2.4663 +2023-12-24 10:09:46,685 - pyskl - INFO - Epoch [11][300/1281] lr: 2.471e-02, eta: 20:36:18, time: 0.453, data_time: 0.000, memory: 4130, top1_acc: 0.7569, top5_acc: 0.9750, loss_cls: 2.5131, loss: 2.5131 +2023-12-24 10:10:31,844 - pyskl - INFO - Epoch [11][400/1281] lr: 2.471e-02, eta: 20:36:27, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.7531, top5_acc: 0.9812, loss_cls: 2.4941, loss: 2.4941 +2023-12-24 10:11:15,637 - pyskl - INFO - Epoch [11][500/1281] lr: 2.471e-02, eta: 20:36:17, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.7556, top5_acc: 0.9838, loss_cls: 2.4836, loss: 2.4836 +2023-12-24 10:11:58,571 - pyskl - INFO - Epoch [11][600/1281] lr: 2.470e-02, eta: 20:35:55, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.7362, top5_acc: 0.9712, loss_cls: 2.5587, loss: 2.5587 +2023-12-24 10:12:41,453 - pyskl - INFO - Epoch [11][700/1281] lr: 2.470e-02, eta: 20:35:32, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.7375, top5_acc: 0.9788, loss_cls: 2.5441, loss: 2.5441 +2023-12-24 10:13:25,054 - pyskl - INFO - Epoch [11][800/1281] lr: 2.469e-02, eta: 20:35:18, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.7500, top5_acc: 0.9819, loss_cls: 2.5159, loss: 2.5159 +2023-12-24 10:14:08,674 - pyskl - INFO - Epoch [11][900/1281] lr: 2.469e-02, eta: 20:35:04, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.7519, top5_acc: 0.9794, loss_cls: 2.4899, loss: 2.4899 +2023-12-24 10:14:52,224 - pyskl - INFO - Epoch [11][1000/1281] lr: 2.468e-02, eta: 20:34:49, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.7619, top5_acc: 0.9769, loss_cls: 2.5137, loss: 2.5137 +2023-12-24 10:15:25,917 - pyskl - INFO - Epoch [11][1100/1281] lr: 2.468e-02, eta: 20:32:27, time: 0.337, data_time: 0.001, memory: 4130, top1_acc: 0.7619, top5_acc: 0.9800, loss_cls: 2.4678, loss: 2.4678 +2023-12-24 10:16:01,213 - pyskl - INFO - Epoch [11][1200/1281] lr: 2.467e-02, eta: 20:30:26, time: 0.353, data_time: 0.001, memory: 4130, top1_acc: 0.7506, top5_acc: 0.9806, loss_cls: 2.5324, loss: 2.5324 +2023-12-24 10:16:36,041 - pyskl - INFO - Saving checkpoint at 11 epochs +2023-12-24 10:17:52,558 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 10:17:52,640 - pyskl - INFO - +top1_acc 0.7379 +top5_acc 0.9765 +2023-12-24 10:17:52,641 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 10:17:52,657 - pyskl - INFO - +mean_acc 0.6181 +2023-12-24 10:17:52,662 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_7.pth was removed +2023-12-24 10:17:52,955 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2023-12-24 10:17:52,956 - pyskl - INFO - Best top1_acc is 0.7379 at 11 epoch. +2023-12-24 10:17:52,965 - pyskl - INFO - Epoch(val) [11][533] top1_acc: 0.7379, top5_acc: 0.9765, mean_class_accuracy: 0.6181 +2023-12-24 10:19:01,277 - pyskl - INFO - Epoch [12][100/1281] lr: 2.467e-02, eta: 20:27:47, time: 0.683, data_time: 0.231, memory: 4130, top1_acc: 0.7494, top5_acc: 0.9825, loss_cls: 2.4693, loss: 2.4693 +2023-12-24 10:19:46,310 - pyskl - INFO - Epoch [12][200/1281] lr: 2.466e-02, eta: 20:27:51, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.7700, top5_acc: 0.9819, loss_cls: 2.4537, loss: 2.4537 +2023-12-24 10:20:30,010 - pyskl - INFO - Epoch [12][300/1281] lr: 2.466e-02, eta: 20:27:38, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.7562, top5_acc: 0.9762, loss_cls: 2.4971, loss: 2.4971 +2023-12-24 10:21:13,003 - pyskl - INFO - Epoch [12][400/1281] lr: 2.465e-02, eta: 20:27:15, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.7544, top5_acc: 0.9844, loss_cls: 2.4668, loss: 2.4668 +2023-12-24 10:21:56,059 - pyskl - INFO - Epoch [12][500/1281] lr: 2.465e-02, eta: 20:26:53, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.7775, top5_acc: 0.9800, loss_cls: 2.4717, loss: 2.4717 +2023-12-24 10:22:39,422 - pyskl - INFO - Epoch [12][600/1281] lr: 2.464e-02, eta: 20:26:35, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.7606, top5_acc: 0.9819, loss_cls: 2.4928, loss: 2.4928 +2023-12-24 10:23:23,647 - pyskl - INFO - Epoch [12][700/1281] lr: 2.464e-02, eta: 20:26:26, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.7488, top5_acc: 0.9762, loss_cls: 2.5473, loss: 2.5473 +2023-12-24 10:24:08,176 - pyskl - INFO - Epoch [12][800/1281] lr: 2.463e-02, eta: 20:26:21, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.7606, top5_acc: 0.9806, loss_cls: 2.4666, loss: 2.4666 +2023-12-24 10:24:51,199 - pyskl - INFO - Epoch [12][900/1281] lr: 2.463e-02, eta: 20:25:57, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.7688, top5_acc: 0.9819, loss_cls: 2.4883, loss: 2.4883 +2023-12-24 10:25:34,075 - pyskl - INFO - Epoch [12][1000/1281] lr: 2.462e-02, eta: 20:25:32, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.7531, top5_acc: 0.9850, loss_cls: 2.4878, loss: 2.4878 +2023-12-24 10:26:06,435 - pyskl - INFO - Epoch [12][1100/1281] lr: 2.462e-02, eta: 20:23:04, time: 0.324, data_time: 0.001, memory: 4130, top1_acc: 0.7512, top5_acc: 0.9844, loss_cls: 2.4755, loss: 2.4755 +2023-12-24 10:26:43,915 - pyskl - INFO - Epoch [12][1200/1281] lr: 2.461e-02, eta: 20:21:36, time: 0.375, data_time: 0.002, memory: 4130, top1_acc: 0.7719, top5_acc: 0.9781, loss_cls: 2.4720, loss: 2.4720 +2023-12-24 10:27:17,878 - pyskl - INFO - Saving checkpoint at 12 epochs +2023-12-24 10:28:38,143 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 10:28:38,205 - pyskl - INFO - +top1_acc 0.7493 +top5_acc 0.9805 +2023-12-24 10:28:38,205 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 10:28:38,213 - pyskl - INFO - +mean_acc 0.6295 +2023-12-24 10:28:38,218 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_11.pth was removed +2023-12-24 10:28:38,451 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2023-12-24 10:28:38,451 - pyskl - INFO - Best top1_acc is 0.7493 at 12 epoch. +2023-12-24 10:28:38,455 - pyskl - INFO - Epoch(val) [12][533] top1_acc: 0.7493, top5_acc: 0.9805, mean_class_accuracy: 0.6295 +2023-12-24 10:29:41,452 - pyskl - INFO - Epoch [13][100/1281] lr: 2.460e-02, eta: 20:18:04, time: 0.630, data_time: 0.201, memory: 4130, top1_acc: 0.7738, top5_acc: 0.9819, loss_cls: 2.4586, loss: 2.4586 +2023-12-24 10:30:24,698 - pyskl - INFO - Epoch [13][200/1281] lr: 2.460e-02, eta: 20:17:43, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.7612, top5_acc: 0.9819, loss_cls: 2.4877, loss: 2.4877 +2023-12-24 10:31:08,056 - pyskl - INFO - Epoch [13][300/1281] lr: 2.459e-02, eta: 20:17:24, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.7500, top5_acc: 0.9844, loss_cls: 2.5124, loss: 2.5124 +2023-12-24 10:31:51,621 - pyskl - INFO - Epoch [13][400/1281] lr: 2.459e-02, eta: 20:17:07, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.7781, top5_acc: 0.9806, loss_cls: 2.4398, loss: 2.4398 +2023-12-24 10:32:34,987 - pyskl - INFO - Epoch [13][500/1281] lr: 2.458e-02, eta: 20:16:48, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.7700, top5_acc: 0.9819, loss_cls: 2.4370, loss: 2.4370 +2023-12-24 10:33:17,883 - pyskl - INFO - Epoch [13][600/1281] lr: 2.458e-02, eta: 20:16:23, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.7775, top5_acc: 0.9788, loss_cls: 2.4287, loss: 2.4287 +2023-12-24 10:34:01,227 - pyskl - INFO - Epoch [13][700/1281] lr: 2.457e-02, eta: 20:16:02, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7769, top5_acc: 0.9831, loss_cls: 2.4518, loss: 2.4518 +2023-12-24 10:34:46,083 - pyskl - INFO - Epoch [13][800/1281] lr: 2.457e-02, eta: 20:15:58, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.7588, top5_acc: 0.9775, loss_cls: 2.4842, loss: 2.4842 +2023-12-24 10:35:31,206 - pyskl - INFO - Epoch [13][900/1281] lr: 2.456e-02, eta: 20:15:56, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.7506, top5_acc: 0.9838, loss_cls: 2.4963, loss: 2.4963 +2023-12-24 10:36:16,140 - pyskl - INFO - Epoch [13][1000/1281] lr: 2.455e-02, eta: 20:15:52, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.7869, top5_acc: 0.9838, loss_cls: 2.4236, loss: 2.4236 +2023-12-24 10:36:48,356 - pyskl - INFO - Epoch [13][1100/1281] lr: 2.455e-02, eta: 20:13:31, time: 0.322, data_time: 0.001, memory: 4130, top1_acc: 0.7456, top5_acc: 0.9825, loss_cls: 2.5141, loss: 2.5141 +2023-12-24 10:37:26,133 - pyskl - INFO - Epoch [13][1200/1281] lr: 2.454e-02, eta: 20:12:11, time: 0.378, data_time: 0.001, memory: 4130, top1_acc: 0.7762, top5_acc: 0.9862, loss_cls: 2.4502, loss: 2.4502 +2023-12-24 10:37:58,263 - pyskl - INFO - Saving checkpoint at 13 epochs +2023-12-24 10:39:13,471 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 10:39:13,542 - pyskl - INFO - +top1_acc 0.7182 +top5_acc 0.9589 +2023-12-24 10:39:13,542 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 10:39:13,553 - pyskl - INFO - +mean_acc 0.6239 +2023-12-24 10:39:13,557 - pyskl - INFO - Epoch(val) [13][533] top1_acc: 0.7182, top5_acc: 0.9589, mean_class_accuracy: 0.6239 +2023-12-24 10:40:20,285 - pyskl - INFO - Epoch [14][100/1281] lr: 2.453e-02, eta: 20:09:29, time: 0.667, data_time: 0.234, memory: 4130, top1_acc: 0.7700, top5_acc: 0.9912, loss_cls: 2.4243, loss: 2.4243 +2023-12-24 10:41:03,997 - pyskl - INFO - Epoch [14][200/1281] lr: 2.453e-02, eta: 20:09:12, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.7744, top5_acc: 0.9862, loss_cls: 2.4416, loss: 2.4416 +2023-12-24 10:41:47,437 - pyskl - INFO - Epoch [14][300/1281] lr: 2.452e-02, eta: 20:08:52, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.7562, top5_acc: 0.9838, loss_cls: 2.4986, loss: 2.4986 +2023-12-24 10:42:30,223 - pyskl - INFO - Epoch [14][400/1281] lr: 2.452e-02, eta: 20:08:25, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.7963, top5_acc: 0.9844, loss_cls: 2.3758, loss: 2.3758 +2023-12-24 10:43:14,597 - pyskl - INFO - Epoch [14][500/1281] lr: 2.451e-02, eta: 20:08:14, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.7875, top5_acc: 0.9800, loss_cls: 2.4269, loss: 2.4269 +2023-12-24 10:43:59,725 - pyskl - INFO - Epoch [14][600/1281] lr: 2.451e-02, eta: 20:08:10, time: 0.451, data_time: 0.000, memory: 4130, top1_acc: 0.7688, top5_acc: 0.9825, loss_cls: 2.4769, loss: 2.4769 +2023-12-24 10:44:44,729 - pyskl - INFO - Epoch [14][700/1281] lr: 2.450e-02, eta: 20:08:04, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.7669, top5_acc: 0.9775, loss_cls: 2.4900, loss: 2.4900 +2023-12-24 10:45:29,695 - pyskl - INFO - Epoch [14][800/1281] lr: 2.449e-02, eta: 20:07:58, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.7806, top5_acc: 0.9812, loss_cls: 2.4364, loss: 2.4364 +2023-12-24 10:46:14,209 - pyskl - INFO - Epoch [14][900/1281] lr: 2.449e-02, eta: 20:07:46, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.7550, top5_acc: 0.9838, loss_cls: 2.4745, loss: 2.4745 +2023-12-24 10:46:57,934 - pyskl - INFO - Epoch [14][1000/1281] lr: 2.448e-02, eta: 20:07:27, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.7669, top5_acc: 0.9812, loss_cls: 2.4808, loss: 2.4808 +2023-12-24 10:47:27,749 - pyskl - INFO - Epoch [14][1100/1281] lr: 2.448e-02, eta: 20:04:50, time: 0.298, data_time: 0.000, memory: 4130, top1_acc: 0.7662, top5_acc: 0.9831, loss_cls: 2.4631, loss: 2.4631 +2023-12-24 10:48:08,281 - pyskl - INFO - Epoch [14][1200/1281] lr: 2.447e-02, eta: 20:04:00, time: 0.405, data_time: 0.001, memory: 4130, top1_acc: 0.7506, top5_acc: 0.9775, loss_cls: 2.4816, loss: 2.4816 +2023-12-24 10:48:38,766 - pyskl - INFO - Saving checkpoint at 14 epochs +2023-12-24 10:49:58,810 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 10:49:58,869 - pyskl - INFO - +top1_acc 0.7627 +top5_acc 0.9762 +2023-12-24 10:49:58,869 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 10:49:58,877 - pyskl - INFO - +mean_acc 0.6467 +2023-12-24 10:49:58,883 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_12.pth was removed +2023-12-24 10:49:59,083 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. +2023-12-24 10:49:59,084 - pyskl - INFO - Best top1_acc is 0.7627 at 14 epoch. +2023-12-24 10:49:59,087 - pyskl - INFO - Epoch(val) [14][533] top1_acc: 0.7627, top5_acc: 0.9762, mean_class_accuracy: 0.6467 +2023-12-24 10:51:02,272 - pyskl - INFO - Epoch [15][100/1281] lr: 2.446e-02, eta: 20:00:50, time: 0.632, data_time: 0.203, memory: 4130, top1_acc: 0.7863, top5_acc: 0.9906, loss_cls: 2.3797, loss: 2.3797 +2023-12-24 10:51:45,308 - pyskl - INFO - Epoch [15][200/1281] lr: 2.445e-02, eta: 20:00:25, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.7819, top5_acc: 0.9869, loss_cls: 2.4259, loss: 2.4259 +2023-12-24 10:52:29,927 - pyskl - INFO - Epoch [15][300/1281] lr: 2.445e-02, eta: 20:00:14, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.7950, top5_acc: 0.9856, loss_cls: 2.4149, loss: 2.4149 +2023-12-24 10:53:13,616 - pyskl - INFO - Epoch [15][400/1281] lr: 2.444e-02, eta: 19:59:54, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.7606, top5_acc: 0.9812, loss_cls: 2.4840, loss: 2.4840 +2023-12-24 10:53:58,131 - pyskl - INFO - Epoch [15][500/1281] lr: 2.444e-02, eta: 19:59:42, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.7625, top5_acc: 0.9800, loss_cls: 2.5011, loss: 2.5011 +2023-12-24 10:54:42,879 - pyskl - INFO - Epoch [15][600/1281] lr: 2.443e-02, eta: 19:59:32, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.7900, top5_acc: 0.9850, loss_cls: 2.4171, loss: 2.4171 +2023-12-24 10:55:26,548 - pyskl - INFO - Epoch [15][700/1281] lr: 2.442e-02, eta: 19:59:11, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.7731, top5_acc: 0.9838, loss_cls: 2.4606, loss: 2.4606 +2023-12-24 10:56:10,790 - pyskl - INFO - Epoch [15][800/1281] lr: 2.442e-02, eta: 19:58:55, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.7706, top5_acc: 0.9888, loss_cls: 2.4519, loss: 2.4519 +2023-12-24 10:56:55,914 - pyskl - INFO - Epoch [15][900/1281] lr: 2.441e-02, eta: 19:58:47, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.7863, top5_acc: 0.9869, loss_cls: 2.4377, loss: 2.4377 +2023-12-24 10:57:41,043 - pyskl - INFO - Epoch [15][1000/1281] lr: 2.441e-02, eta: 19:58:39, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.7531, top5_acc: 0.9762, loss_cls: 2.4934, loss: 2.4934 +2023-12-24 10:58:08,740 - pyskl - INFO - Epoch [15][1100/1281] lr: 2.440e-02, eta: 19:55:52, time: 0.277, data_time: 0.001, memory: 4130, top1_acc: 0.7762, top5_acc: 0.9812, loss_cls: 2.4624, loss: 2.4624 +2023-12-24 10:58:51,452 - pyskl - INFO - Epoch [15][1200/1281] lr: 2.439e-02, eta: 19:55:21, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.7662, top5_acc: 0.9831, loss_cls: 2.4756, loss: 2.4756 +2023-12-24 10:59:18,479 - pyskl - INFO - Saving checkpoint at 15 epochs +2023-12-24 11:00:35,182 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:00:35,256 - pyskl - INFO - +top1_acc 0.7114 +top5_acc 0.9669 +2023-12-24 11:00:35,256 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:00:35,264 - pyskl - INFO - +mean_acc 0.5853 +2023-12-24 11:00:35,267 - pyskl - INFO - Epoch(val) [15][533] top1_acc: 0.7114, top5_acc: 0.9669, mean_class_accuracy: 0.5853 +2023-12-24 11:01:43,276 - pyskl - INFO - Epoch [16][100/1281] lr: 2.438e-02, eta: 19:53:04, time: 0.680, data_time: 0.231, memory: 4130, top1_acc: 0.7550, top5_acc: 0.9812, loss_cls: 2.4857, loss: 2.4857 +2023-12-24 11:02:28,307 - pyskl - INFO - Epoch [16][200/1281] lr: 2.438e-02, eta: 19:52:54, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.7900, top5_acc: 0.9900, loss_cls: 2.3843, loss: 2.3843 +2023-12-24 11:03:12,394 - pyskl - INFO - Epoch [16][300/1281] lr: 2.437e-02, eta: 19:52:36, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.7800, top5_acc: 0.9812, loss_cls: 2.4167, loss: 2.4167 +2023-12-24 11:03:56,253 - pyskl - INFO - Epoch [16][400/1281] lr: 2.436e-02, eta: 19:52:16, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.7925, top5_acc: 0.9825, loss_cls: 2.4085, loss: 2.4085 +2023-12-24 11:04:39,558 - pyskl - INFO - Epoch [16][500/1281] lr: 2.436e-02, eta: 19:51:51, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7881, top5_acc: 0.9850, loss_cls: 2.3817, loss: 2.3817 +2023-12-24 11:05:23,852 - pyskl - INFO - Epoch [16][600/1281] lr: 2.435e-02, eta: 19:51:34, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.7750, top5_acc: 0.9850, loss_cls: 2.4383, loss: 2.4383 +2023-12-24 11:06:07,080 - pyskl - INFO - Epoch [16][700/1281] lr: 2.434e-02, eta: 19:51:07, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.7769, top5_acc: 0.9862, loss_cls: 2.4230, loss: 2.4230 +2023-12-24 11:06:50,558 - pyskl - INFO - Epoch [16][800/1281] lr: 2.434e-02, eta: 19:50:43, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.7894, top5_acc: 0.9850, loss_cls: 2.4311, loss: 2.4311 +2023-12-24 11:07:33,985 - pyskl - INFO - Epoch [16][900/1281] lr: 2.433e-02, eta: 19:50:18, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.7825, top5_acc: 0.9831, loss_cls: 2.4288, loss: 2.4288 +2023-12-24 11:08:16,635 - pyskl - INFO - Epoch [16][1000/1281] lr: 2.432e-02, eta: 19:49:46, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.7900, top5_acc: 0.9856, loss_cls: 2.4177, loss: 2.4177 +2023-12-24 11:08:41,280 - pyskl - INFO - Epoch [16][1100/1281] lr: 2.432e-02, eta: 19:46:42, time: 0.246, data_time: 0.001, memory: 4130, top1_acc: 0.7844, top5_acc: 0.9806, loss_cls: 2.4287, loss: 2.4287 +2023-12-24 11:09:27,253 - pyskl - INFO - Epoch [16][1200/1281] lr: 2.431e-02, eta: 19:46:38, time: 0.460, data_time: 0.000, memory: 4130, top1_acc: 0.7812, top5_acc: 0.9881, loss_cls: 2.4077, loss: 2.4077 +2023-12-24 11:09:51,040 - pyskl - INFO - Saving checkpoint at 16 epochs +2023-12-24 11:11:12,255 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:11:12,318 - pyskl - INFO - +top1_acc 0.7462 +top5_acc 0.9747 +2023-12-24 11:11:12,319 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:11:12,333 - pyskl - INFO - +mean_acc 0.6473 +2023-12-24 11:11:12,338 - pyskl - INFO - Epoch(val) [16][533] top1_acc: 0.7462, top5_acc: 0.9747, mean_class_accuracy: 0.6473 +2023-12-24 11:12:19,160 - pyskl - INFO - Epoch [17][100/1281] lr: 2.430e-02, eta: 19:44:15, time: 0.668, data_time: 0.240, memory: 4130, top1_acc: 0.7850, top5_acc: 0.9856, loss_cls: 2.3962, loss: 2.3962 +2023-12-24 11:13:02,683 - pyskl - INFO - Epoch [17][200/1281] lr: 2.429e-02, eta: 19:43:51, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.7937, top5_acc: 0.9894, loss_cls: 2.4073, loss: 2.4073 +2023-12-24 11:13:45,960 - pyskl - INFO - Epoch [17][300/1281] lr: 2.428e-02, eta: 19:43:25, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7963, top5_acc: 0.9900, loss_cls: 2.3842, loss: 2.3842 +2023-12-24 11:14:29,249 - pyskl - INFO - Epoch [17][400/1281] lr: 2.428e-02, eta: 19:42:58, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7788, top5_acc: 0.9831, loss_cls: 2.4236, loss: 2.4236 +2023-12-24 11:15:12,594 - pyskl - INFO - Epoch [17][500/1281] lr: 2.427e-02, eta: 19:42:32, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7837, top5_acc: 0.9869, loss_cls: 2.4149, loss: 2.4149 +2023-12-24 11:15:55,895 - pyskl - INFO - Epoch [17][600/1281] lr: 2.426e-02, eta: 19:42:06, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7987, top5_acc: 0.9825, loss_cls: 2.3904, loss: 2.3904 +2023-12-24 11:16:38,715 - pyskl - INFO - Epoch [17][700/1281] lr: 2.426e-02, eta: 19:41:35, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.7644, top5_acc: 0.9844, loss_cls: 2.4677, loss: 2.4677 +2023-12-24 11:17:21,653 - pyskl - INFO - Epoch [17][800/1281] lr: 2.425e-02, eta: 19:41:06, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.7894, top5_acc: 0.9838, loss_cls: 2.3979, loss: 2.3979 +2023-12-24 11:18:04,982 - pyskl - INFO - Epoch [17][900/1281] lr: 2.424e-02, eta: 19:40:39, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7625, top5_acc: 0.9862, loss_cls: 2.4624, loss: 2.4624 +2023-12-24 11:18:44,692 - pyskl - INFO - Epoch [17][1000/1281] lr: 2.424e-02, eta: 19:39:43, time: 0.397, data_time: 0.001, memory: 4130, top1_acc: 0.7806, top5_acc: 0.9794, loss_cls: 2.4241, loss: 2.4241 +2023-12-24 11:19:14,374 - pyskl - INFO - Epoch [17][1100/1281] lr: 2.423e-02, eta: 19:37:29, time: 0.297, data_time: 0.001, memory: 4130, top1_acc: 0.7794, top5_acc: 0.9831, loss_cls: 2.4424, loss: 2.4424 +2023-12-24 11:19:59,344 - pyskl - INFO - Epoch [17][1200/1281] lr: 2.422e-02, eta: 19:37:15, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.7925, top5_acc: 0.9838, loss_cls: 2.4059, loss: 2.4059 +2023-12-24 11:20:18,640 - pyskl - INFO - Saving checkpoint at 17 epochs +2023-12-24 11:21:35,598 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:21:35,685 - pyskl - INFO - +top1_acc 0.7290 +top5_acc 0.9723 +2023-12-24 11:21:35,686 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:21:35,699 - pyskl - INFO - +mean_acc 0.6199 +2023-12-24 11:21:35,704 - pyskl - INFO - Epoch(val) [17][533] top1_acc: 0.7290, top5_acc: 0.9723, mean_class_accuracy: 0.6199 +2023-12-24 11:22:42,878 - pyskl - INFO - Epoch [18][100/1281] lr: 2.421e-02, eta: 19:34:59, time: 0.672, data_time: 0.234, memory: 4130, top1_acc: 0.8144, top5_acc: 0.9888, loss_cls: 2.3226, loss: 2.3226 +2023-12-24 11:23:28,077 - pyskl - INFO - Epoch [18][200/1281] lr: 2.420e-02, eta: 19:34:47, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8019, top5_acc: 0.9856, loss_cls: 2.3784, loss: 2.3784 +2023-12-24 11:24:13,115 - pyskl - INFO - Epoch [18][300/1281] lr: 2.419e-02, eta: 19:34:33, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.8206, top5_acc: 0.9900, loss_cls: 2.3170, loss: 2.3170 +2023-12-24 11:24:56,763 - pyskl - INFO - Epoch [18][400/1281] lr: 2.419e-02, eta: 19:34:09, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.7781, top5_acc: 0.9894, loss_cls: 2.4188, loss: 2.4188 +2023-12-24 11:25:40,321 - pyskl - INFO - Epoch [18][500/1281] lr: 2.418e-02, eta: 19:33:44, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.7900, top5_acc: 0.9875, loss_cls: 2.4284, loss: 2.4284 +2023-12-24 11:26:23,442 - pyskl - INFO - Epoch [18][600/1281] lr: 2.417e-02, eta: 19:33:15, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.7700, top5_acc: 0.9862, loss_cls: 2.4493, loss: 2.4493 +2023-12-24 11:27:07,890 - pyskl - INFO - Epoch [18][700/1281] lr: 2.417e-02, eta: 19:32:56, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8106, top5_acc: 0.9856, loss_cls: 2.3460, loss: 2.3460 +2023-12-24 11:27:53,030 - pyskl - INFO - Epoch [18][800/1281] lr: 2.416e-02, eta: 19:32:42, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.7837, top5_acc: 0.9869, loss_cls: 2.4355, loss: 2.4355 +2023-12-24 11:28:37,995 - pyskl - INFO - Epoch [18][900/1281] lr: 2.415e-02, eta: 19:32:26, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.7906, top5_acc: 0.9888, loss_cls: 2.3838, loss: 2.3838 +2023-12-24 11:29:14,504 - pyskl - INFO - Epoch [18][1000/1281] lr: 2.414e-02, eta: 19:31:08, time: 0.365, data_time: 0.001, memory: 4130, top1_acc: 0.7781, top5_acc: 0.9850, loss_cls: 2.4416, loss: 2.4416 +2023-12-24 11:29:45,872 - pyskl - INFO - Epoch [18][1100/1281] lr: 2.414e-02, eta: 19:29:11, time: 0.314, data_time: 0.001, memory: 4130, top1_acc: 0.7781, top5_acc: 0.9844, loss_cls: 2.4488, loss: 2.4488 +2023-12-24 11:30:27,432 - pyskl - INFO - Epoch [18][1200/1281] lr: 2.413e-02, eta: 19:28:31, time: 0.416, data_time: 0.001, memory: 4130, top1_acc: 0.8100, top5_acc: 0.9856, loss_cls: 2.3558, loss: 2.3558 +2023-12-24 11:30:47,087 - pyskl - INFO - Saving checkpoint at 18 epochs +2023-12-24 11:32:06,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:32:07,056 - pyskl - INFO - +top1_acc 0.7496 +top5_acc 0.9808 +2023-12-24 11:32:07,057 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:32:07,075 - pyskl - INFO - +mean_acc 0.6592 +2023-12-24 11:32:07,081 - pyskl - INFO - Epoch(val) [18][533] top1_acc: 0.7496, top5_acc: 0.9808, mean_class_accuracy: 0.6592 +2023-12-24 11:33:15,227 - pyskl - INFO - Epoch [19][100/1281] lr: 2.411e-02, eta: 19:26:25, time: 0.681, data_time: 0.231, memory: 4130, top1_acc: 0.8069, top5_acc: 0.9894, loss_cls: 2.3252, loss: 2.3252 +2023-12-24 11:33:59,180 - pyskl - INFO - Epoch [19][200/1281] lr: 2.411e-02, eta: 19:26:02, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8169, top5_acc: 0.9844, loss_cls: 2.3645, loss: 2.3645 +2023-12-24 11:34:43,507 - pyskl - INFO - Epoch [19][300/1281] lr: 2.410e-02, eta: 19:25:42, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8000, top5_acc: 0.9875, loss_cls: 2.3665, loss: 2.3665 +2023-12-24 11:35:28,567 - pyskl - INFO - Epoch [19][400/1281] lr: 2.409e-02, eta: 19:25:27, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8037, top5_acc: 0.9875, loss_cls: 2.3813, loss: 2.3813 +2023-12-24 11:36:12,057 - pyskl - INFO - Epoch [19][500/1281] lr: 2.408e-02, eta: 19:25:00, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.7800, top5_acc: 0.9881, loss_cls: 2.4052, loss: 2.4052 +2023-12-24 11:36:55,347 - pyskl - INFO - Epoch [19][600/1281] lr: 2.408e-02, eta: 19:24:31, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7900, top5_acc: 0.9856, loss_cls: 2.4097, loss: 2.4097 +2023-12-24 11:37:40,155 - pyskl - INFO - Epoch [19][700/1281] lr: 2.407e-02, eta: 19:24:13, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.7956, top5_acc: 0.9856, loss_cls: 2.3854, loss: 2.3854 +2023-12-24 11:38:23,923 - pyskl - INFO - Epoch [19][800/1281] lr: 2.406e-02, eta: 19:23:48, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 0.8025, top5_acc: 0.9900, loss_cls: 2.3404, loss: 2.3404 +2023-12-24 11:39:08,146 - pyskl - INFO - Epoch [19][900/1281] lr: 2.405e-02, eta: 19:23:26, time: 0.442, data_time: 0.000, memory: 4130, top1_acc: 0.7931, top5_acc: 0.9862, loss_cls: 2.3783, loss: 2.3783 +2023-12-24 11:39:43,206 - pyskl - INFO - Epoch [19][1000/1281] lr: 2.405e-02, eta: 19:21:59, time: 0.351, data_time: 0.001, memory: 4130, top1_acc: 0.7887, top5_acc: 0.9850, loss_cls: 2.3848, loss: 2.3848 +2023-12-24 11:40:17,942 - pyskl - INFO - Epoch [19][1100/1281] lr: 2.404e-02, eta: 19:20:31, time: 0.347, data_time: 0.001, memory: 4130, top1_acc: 0.8087, top5_acc: 0.9900, loss_cls: 2.3619, loss: 2.3619 +2023-12-24 11:40:57,656 - pyskl - INFO - Epoch [19][1200/1281] lr: 2.403e-02, eta: 19:19:37, time: 0.397, data_time: 0.001, memory: 4130, top1_acc: 0.8006, top5_acc: 0.9862, loss_cls: 2.3897, loss: 2.3897 +2023-12-24 11:41:17,741 - pyskl - INFO - Saving checkpoint at 19 epochs +2023-12-24 11:42:37,074 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:42:37,129 - pyskl - INFO - +top1_acc 0.7538 +top5_acc 0.9776 +2023-12-24 11:42:37,129 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:42:37,135 - pyskl - INFO - +mean_acc 0.6427 +2023-12-24 11:42:37,137 - pyskl - INFO - Epoch(val) [19][533] top1_acc: 0.7538, top5_acc: 0.9776, mean_class_accuracy: 0.6427 +2023-12-24 11:43:38,876 - pyskl - INFO - Epoch [20][100/1281] lr: 2.402e-02, eta: 19:16:51, time: 0.617, data_time: 0.186, memory: 4130, top1_acc: 0.8100, top5_acc: 0.9919, loss_cls: 2.3642, loss: 2.3642 +2023-12-24 11:44:22,716 - pyskl - INFO - Epoch [20][200/1281] lr: 2.401e-02, eta: 19:16:27, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8025, top5_acc: 0.9869, loss_cls: 2.3372, loss: 2.3372 +2023-12-24 11:45:07,168 - pyskl - INFO - Epoch [20][300/1281] lr: 2.400e-02, eta: 19:16:06, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8194, top5_acc: 0.9875, loss_cls: 2.3280, loss: 2.3280 +2023-12-24 11:45:52,299 - pyskl - INFO - Epoch [20][400/1281] lr: 2.399e-02, eta: 19:15:50, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8144, top5_acc: 0.9888, loss_cls: 2.3501, loss: 2.3501 +2023-12-24 11:46:35,695 - pyskl - INFO - Epoch [20][500/1281] lr: 2.398e-02, eta: 19:15:22, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.7800, top5_acc: 0.9819, loss_cls: 2.4278, loss: 2.4278 +2023-12-24 11:47:18,523 - pyskl - INFO - Epoch [20][600/1281] lr: 2.398e-02, eta: 19:14:49, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.8031, top5_acc: 0.9900, loss_cls: 2.3790, loss: 2.3790 +2023-12-24 11:48:01,923 - pyskl - INFO - Epoch [20][700/1281] lr: 2.397e-02, eta: 19:14:21, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.7981, top5_acc: 0.9794, loss_cls: 2.3967, loss: 2.3967 +2023-12-24 11:48:46,194 - pyskl - INFO - Epoch [20][800/1281] lr: 2.396e-02, eta: 19:13:58, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.7831, top5_acc: 0.9838, loss_cls: 2.4284, loss: 2.4284 +2023-12-24 11:49:30,760 - pyskl - INFO - Epoch [20][900/1281] lr: 2.395e-02, eta: 19:13:37, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.7994, top5_acc: 0.9869, loss_cls: 2.3960, loss: 2.3960 +2023-12-24 11:50:06,407 - pyskl - INFO - Epoch [20][1000/1281] lr: 2.394e-02, eta: 19:12:18, time: 0.356, data_time: 0.001, memory: 4130, top1_acc: 0.7981, top5_acc: 0.9881, loss_cls: 2.3734, loss: 2.3734 +2023-12-24 11:50:41,567 - pyskl - INFO - Epoch [20][1100/1281] lr: 2.393e-02, eta: 19:10:55, time: 0.352, data_time: 0.001, memory: 4130, top1_acc: 0.8081, top5_acc: 0.9831, loss_cls: 2.3763, loss: 2.3763 +2023-12-24 11:51:20,104 - pyskl - INFO - Epoch [20][1200/1281] lr: 2.393e-02, eta: 19:09:55, time: 0.385, data_time: 0.000, memory: 4130, top1_acc: 0.7762, top5_acc: 0.9819, loss_cls: 2.4447, loss: 2.4447 +2023-12-24 11:51:41,597 - pyskl - INFO - Saving checkpoint at 20 epochs +2023-12-24 11:52:59,582 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 11:52:59,650 - pyskl - INFO - +top1_acc 0.7559 +top5_acc 0.9793 +2023-12-24 11:52:59,650 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 11:52:59,665 - pyskl - INFO - +mean_acc 0.6451 +2023-12-24 11:52:59,671 - pyskl - INFO - Epoch(val) [20][533] top1_acc: 0.7559, top5_acc: 0.9793, mean_class_accuracy: 0.6451 +2023-12-24 11:54:05,784 - pyskl - INFO - Epoch [21][100/1281] lr: 2.391e-02, eta: 19:07:42, time: 0.661, data_time: 0.229, memory: 4130, top1_acc: 0.8056, top5_acc: 0.9888, loss_cls: 2.3671, loss: 2.3671 +2023-12-24 11:54:49,112 - pyskl - INFO - Epoch [21][200/1281] lr: 2.390e-02, eta: 19:07:14, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.7919, top5_acc: 0.9869, loss_cls: 2.3928, loss: 2.3928 +2023-12-24 11:55:31,980 - pyskl - INFO - Epoch [21][300/1281] lr: 2.389e-02, eta: 19:06:42, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8169, top5_acc: 0.9844, loss_cls: 2.3224, loss: 2.3224 +2023-12-24 11:56:14,904 - pyskl - INFO - Epoch [21][400/1281] lr: 2.389e-02, eta: 19:06:10, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.7981, top5_acc: 0.9881, loss_cls: 2.3640, loss: 2.3640 +2023-12-24 11:56:59,570 - pyskl - INFO - Epoch [21][500/1281] lr: 2.388e-02, eta: 19:05:50, time: 0.447, data_time: 0.000, memory: 4130, top1_acc: 0.7937, top5_acc: 0.9881, loss_cls: 2.3826, loss: 2.3826 +2023-12-24 11:57:44,650 - pyskl - INFO - Epoch [21][600/1281] lr: 2.387e-02, eta: 19:05:31, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8100, top5_acc: 0.9906, loss_cls: 2.3373, loss: 2.3373 +2023-12-24 11:58:29,890 - pyskl - INFO - Epoch [21][700/1281] lr: 2.386e-02, eta: 19:05:14, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8169, top5_acc: 0.9838, loss_cls: 2.3287, loss: 2.3287 +2023-12-24 11:59:13,860 - pyskl - INFO - Epoch [21][800/1281] lr: 2.385e-02, eta: 19:04:48, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8056, top5_acc: 0.9850, loss_cls: 2.3266, loss: 2.3266 +2023-12-24 11:59:56,756 - pyskl - INFO - Epoch [21][900/1281] lr: 2.384e-02, eta: 19:04:16, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.8019, top5_acc: 0.9894, loss_cls: 2.3512, loss: 2.3512 +2023-12-24 12:00:26,590 - pyskl - INFO - Epoch [21][1000/1281] lr: 2.383e-02, eta: 19:02:22, time: 0.298, data_time: 0.000, memory: 4130, top1_acc: 0.7913, top5_acc: 0.9881, loss_cls: 2.4108, loss: 2.4108 +2023-12-24 12:01:05,398 - pyskl - INFO - Epoch [21][1100/1281] lr: 2.383e-02, eta: 19:01:25, time: 0.388, data_time: 0.001, memory: 4130, top1_acc: 0.8087, top5_acc: 0.9906, loss_cls: 2.3425, loss: 2.3425 +2023-12-24 12:01:40,952 - pyskl - INFO - Epoch [21][1200/1281] lr: 2.382e-02, eta: 19:00:07, time: 0.356, data_time: 0.001, memory: 4130, top1_acc: 0.7944, top5_acc: 0.9850, loss_cls: 2.4265, loss: 2.4265 +2023-12-24 12:02:05,677 - pyskl - INFO - Saving checkpoint at 21 epochs +2023-12-24 12:03:25,216 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:03:25,283 - pyskl - INFO - +top1_acc 0.7261 +top5_acc 0.9791 +2023-12-24 12:03:25,283 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:03:25,293 - pyskl - INFO - +mean_acc 0.6485 +2023-12-24 12:03:25,297 - pyskl - INFO - Epoch(val) [21][533] top1_acc: 0.7261, top5_acc: 0.9791, mean_class_accuracy: 0.6485 +2023-12-24 12:04:26,206 - pyskl - INFO - Epoch [22][100/1281] lr: 2.380e-02, eta: 18:57:27, time: 0.609, data_time: 0.187, memory: 4130, top1_acc: 0.8275, top5_acc: 0.9919, loss_cls: 2.3108, loss: 2.3108 +2023-12-24 12:05:10,067 - pyskl - INFO - Epoch [22][200/1281] lr: 2.379e-02, eta: 18:57:01, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9856, loss_cls: 2.3218, loss: 2.3218 +2023-12-24 12:05:54,327 - pyskl - INFO - Epoch [22][300/1281] lr: 2.378e-02, eta: 18:56:37, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8075, top5_acc: 0.9862, loss_cls: 2.3300, loss: 2.3300 +2023-12-24 12:06:38,571 - pyskl - INFO - Epoch [22][400/1281] lr: 2.378e-02, eta: 18:56:14, time: 0.442, data_time: 0.001, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9894, loss_cls: 2.3215, loss: 2.3215 +2023-12-24 12:07:20,887 - pyskl - INFO - Epoch [22][500/1281] lr: 2.377e-02, eta: 18:55:38, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8225, top5_acc: 0.9881, loss_cls: 2.3240, loss: 2.3240 +2023-12-24 12:08:02,780 - pyskl - INFO - Epoch [22][600/1281] lr: 2.376e-02, eta: 18:55:00, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8113, top5_acc: 0.9869, loss_cls: 2.3327, loss: 2.3327 +2023-12-24 12:08:46,516 - pyskl - INFO - Epoch [22][700/1281] lr: 2.375e-02, eta: 18:54:33, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.7819, top5_acc: 0.9881, loss_cls: 2.4055, loss: 2.4055 +2023-12-24 12:09:30,578 - pyskl - INFO - Epoch [22][800/1281] lr: 2.374e-02, eta: 18:54:07, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.8031, top5_acc: 0.9881, loss_cls: 2.3812, loss: 2.3812 +2023-12-24 12:10:13,360 - pyskl - INFO - Epoch [22][900/1281] lr: 2.373e-02, eta: 18:53:34, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.7981, top5_acc: 0.9906, loss_cls: 2.3641, loss: 2.3641 +2023-12-24 12:10:43,830 - pyskl - INFO - Epoch [22][1000/1281] lr: 2.372e-02, eta: 18:51:49, time: 0.305, data_time: 0.001, memory: 4130, top1_acc: 0.7950, top5_acc: 0.9894, loss_cls: 2.3573, loss: 2.3573 +2023-12-24 12:11:21,823 - pyskl - INFO - Epoch [22][1100/1281] lr: 2.371e-02, eta: 18:50:48, time: 0.380, data_time: 0.000, memory: 4130, top1_acc: 0.8013, top5_acc: 0.9850, loss_cls: 2.3669, loss: 2.3669 +2023-12-24 12:11:55,072 - pyskl - INFO - Epoch [22][1200/1281] lr: 2.370e-02, eta: 18:49:19, time: 0.332, data_time: 0.000, memory: 4130, top1_acc: 0.7906, top5_acc: 0.9875, loss_cls: 2.4048, loss: 2.4048 +2023-12-24 12:12:21,311 - pyskl - INFO - Saving checkpoint at 22 epochs +2023-12-24 12:13:38,603 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:13:38,674 - pyskl - INFO - +top1_acc 0.7474 +top5_acc 0.9779 +2023-12-24 12:13:38,674 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:13:38,683 - pyskl - INFO - +mean_acc 0.6710 +2023-12-24 12:13:38,685 - pyskl - INFO - Epoch(val) [22][533] top1_acc: 0.7474, top5_acc: 0.9779, mean_class_accuracy: 0.6710 +2023-12-24 12:14:43,990 - pyskl - INFO - Epoch [23][100/1281] lr: 2.369e-02, eta: 18:47:09, time: 0.653, data_time: 0.212, memory: 4130, top1_acc: 0.8119, top5_acc: 0.9875, loss_cls: 2.3348, loss: 2.3348 +2023-12-24 12:15:27,054 - pyskl - INFO - Epoch [23][200/1281] lr: 2.368e-02, eta: 18:46:38, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.7950, top5_acc: 0.9894, loss_cls: 2.3529, loss: 2.3529 +2023-12-24 12:16:09,203 - pyskl - INFO - Epoch [23][300/1281] lr: 2.367e-02, eta: 18:46:02, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.8363, top5_acc: 0.9912, loss_cls: 2.2767, loss: 2.2767 +2023-12-24 12:16:51,410 - pyskl - INFO - Epoch [23][400/1281] lr: 2.366e-02, eta: 18:45:26, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8287, top5_acc: 0.9912, loss_cls: 2.2916, loss: 2.2916 +2023-12-24 12:17:33,863 - pyskl - INFO - Epoch [23][500/1281] lr: 2.365e-02, eta: 18:44:52, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8269, top5_acc: 0.9894, loss_cls: 2.3221, loss: 2.3221 +2023-12-24 12:18:16,315 - pyskl - INFO - Epoch [23][600/1281] lr: 2.364e-02, eta: 18:44:17, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8375, top5_acc: 0.9919, loss_cls: 2.2851, loss: 2.2851 +2023-12-24 12:18:59,367 - pyskl - INFO - Epoch [23][700/1281] lr: 2.363e-02, eta: 18:43:46, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.8169, top5_acc: 0.9850, loss_cls: 2.3564, loss: 2.3564 +2023-12-24 12:19:42,097 - pyskl - INFO - Epoch [23][800/1281] lr: 2.362e-02, eta: 18:43:12, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.8113, top5_acc: 0.9894, loss_cls: 2.3273, loss: 2.3273 +2023-12-24 12:20:26,186 - pyskl - INFO - Epoch [23][900/1281] lr: 2.361e-02, eta: 18:42:47, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.7963, top5_acc: 0.9919, loss_cls: 2.3650, loss: 2.3650 +2023-12-24 12:20:52,345 - pyskl - INFO - Epoch [23][1000/1281] lr: 2.360e-02, eta: 18:40:41, time: 0.262, data_time: 0.001, memory: 4130, top1_acc: 0.8144, top5_acc: 0.9894, loss_cls: 2.3319, loss: 2.3319 +2023-12-24 12:21:34,936 - pyskl - INFO - Epoch [23][1100/1281] lr: 2.359e-02, eta: 18:40:07, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.7987, top5_acc: 0.9906, loss_cls: 2.3587, loss: 2.3587 +2023-12-24 12:22:05,132 - pyskl - INFO - Epoch [23][1200/1281] lr: 2.359e-02, eta: 18:38:24, time: 0.302, data_time: 0.001, memory: 4130, top1_acc: 0.8025, top5_acc: 0.9862, loss_cls: 2.3609, loss: 2.3609 +2023-12-24 12:22:32,769 - pyskl - INFO - Saving checkpoint at 23 epochs +2023-12-24 12:23:45,293 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:23:45,362 - pyskl - INFO - +top1_acc 0.7662 +top5_acc 0.9785 +2023-12-24 12:23:45,362 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:23:45,377 - pyskl - INFO - +mean_acc 0.6719 +2023-12-24 12:23:45,401 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_14.pth was removed +2023-12-24 12:23:45,653 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2023-12-24 12:23:45,654 - pyskl - INFO - Best top1_acc is 0.7662 at 23 epoch. +2023-12-24 12:23:45,657 - pyskl - INFO - Epoch(val) [23][533] top1_acc: 0.7662, top5_acc: 0.9785, mean_class_accuracy: 0.6719 +2023-12-24 12:24:49,603 - pyskl - INFO - Epoch [24][100/1281] lr: 2.357e-02, eta: 18:36:11, time: 0.639, data_time: 0.215, memory: 4130, top1_acc: 0.8175, top5_acc: 0.9869, loss_cls: 2.3239, loss: 2.3239 +2023-12-24 12:25:31,872 - pyskl - INFO - Epoch [24][200/1281] lr: 2.356e-02, eta: 18:35:36, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8381, top5_acc: 0.9906, loss_cls: 2.3041, loss: 2.3041 +2023-12-24 12:26:14,476 - pyskl - INFO - Epoch [24][300/1281] lr: 2.355e-02, eta: 18:35:02, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.8125, top5_acc: 0.9888, loss_cls: 2.3427, loss: 2.3427 +2023-12-24 12:26:57,328 - pyskl - INFO - Epoch [24][400/1281] lr: 2.354e-02, eta: 18:34:30, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.8256, top5_acc: 0.9938, loss_cls: 2.2915, loss: 2.2915 +2023-12-24 12:27:40,516 - pyskl - INFO - Epoch [24][500/1281] lr: 2.353e-02, eta: 18:33:59, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8213, top5_acc: 0.9931, loss_cls: 2.3363, loss: 2.3363 +2023-12-24 12:28:22,832 - pyskl - INFO - Epoch [24][600/1281] lr: 2.352e-02, eta: 18:33:24, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8025, top5_acc: 0.9881, loss_cls: 2.3682, loss: 2.3682 +2023-12-24 12:29:05,278 - pyskl - INFO - Epoch [24][700/1281] lr: 2.351e-02, eta: 18:32:49, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.7956, top5_acc: 0.9900, loss_cls: 2.3841, loss: 2.3841 +2023-12-24 12:29:47,562 - pyskl - INFO - Epoch [24][800/1281] lr: 2.350e-02, eta: 18:32:14, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.8100, top5_acc: 0.9881, loss_cls: 2.3540, loss: 2.3540 +2023-12-24 12:30:29,889 - pyskl - INFO - Epoch [24][900/1281] lr: 2.349e-02, eta: 18:31:39, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8063, top5_acc: 0.9912, loss_cls: 2.3313, loss: 2.3313 +2023-12-24 12:30:56,216 - pyskl - INFO - Epoch [24][1000/1281] lr: 2.348e-02, eta: 18:29:38, time: 0.263, data_time: 0.001, memory: 4130, top1_acc: 0.8200, top5_acc: 0.9875, loss_cls: 2.3040, loss: 2.3040 +2023-12-24 12:31:36,081 - pyskl - INFO - Epoch [24][1100/1281] lr: 2.347e-02, eta: 18:28:50, time: 0.399, data_time: 0.001, memory: 4130, top1_acc: 0.7981, top5_acc: 0.9894, loss_cls: 2.3612, loss: 2.3612 +2023-12-24 12:32:08,369 - pyskl - INFO - Epoch [24][1200/1281] lr: 2.346e-02, eta: 18:27:22, time: 0.323, data_time: 0.000, memory: 4130, top1_acc: 0.8263, top5_acc: 0.9856, loss_cls: 2.3229, loss: 2.3229 +2023-12-24 12:32:34,858 - pyskl - INFO - Saving checkpoint at 24 epochs +2023-12-24 12:33:49,407 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:33:49,482 - pyskl - INFO - +top1_acc 0.7318 +top5_acc 0.9778 +2023-12-24 12:33:49,483 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:33:49,498 - pyskl - INFO - +mean_acc 0.6625 +2023-12-24 12:33:49,503 - pyskl - INFO - Epoch(val) [24][533] top1_acc: 0.7318, top5_acc: 0.9778, mean_class_accuracy: 0.6625 +2023-12-24 12:34:53,602 - pyskl - INFO - Epoch [25][100/1281] lr: 2.344e-02, eta: 18:25:13, time: 0.641, data_time: 0.220, memory: 4130, top1_acc: 0.8256, top5_acc: 0.9881, loss_cls: 2.3056, loss: 2.3056 +2023-12-24 12:35:35,802 - pyskl - INFO - Epoch [25][200/1281] lr: 2.343e-02, eta: 18:24:38, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8150, top5_acc: 0.9931, loss_cls: 2.3234, loss: 2.3234 +2023-12-24 12:36:18,108 - pyskl - INFO - Epoch [25][300/1281] lr: 2.342e-02, eta: 18:24:03, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8363, top5_acc: 0.9900, loss_cls: 2.3211, loss: 2.3211 +2023-12-24 12:37:00,287 - pyskl - INFO - Epoch [25][400/1281] lr: 2.341e-02, eta: 18:23:27, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.8013, top5_acc: 0.9938, loss_cls: 2.3418, loss: 2.3418 +2023-12-24 12:37:42,709 - pyskl - INFO - Epoch [25][500/1281] lr: 2.340e-02, eta: 18:22:53, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8444, top5_acc: 0.9888, loss_cls: 2.2696, loss: 2.2696 +2023-12-24 12:38:24,979 - pyskl - INFO - Epoch [25][600/1281] lr: 2.339e-02, eta: 18:22:18, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8231, top5_acc: 0.9862, loss_cls: 2.3498, loss: 2.3498 +2023-12-24 12:39:07,120 - pyskl - INFO - Epoch [25][700/1281] lr: 2.338e-02, eta: 18:21:42, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.8363, top5_acc: 0.9944, loss_cls: 2.2762, loss: 2.2762 +2023-12-24 12:39:49,199 - pyskl - INFO - Epoch [25][800/1281] lr: 2.337e-02, eta: 18:21:05, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.8075, top5_acc: 0.9812, loss_cls: 2.3581, loss: 2.3581 +2023-12-24 12:40:32,495 - pyskl - INFO - Epoch [25][900/1281] lr: 2.336e-02, eta: 18:20:35, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.8019, top5_acc: 0.9925, loss_cls: 2.3648, loss: 2.3648 +2023-12-24 12:41:01,321 - pyskl - INFO - Epoch [25][1000/1281] lr: 2.335e-02, eta: 18:18:52, time: 0.288, data_time: 0.001, memory: 4130, top1_acc: 0.8013, top5_acc: 0.9875, loss_cls: 2.3631, loss: 2.3631 +2023-12-24 12:41:41,760 - pyskl - INFO - Epoch [25][1100/1281] lr: 2.334e-02, eta: 18:18:07, time: 0.404, data_time: 0.000, memory: 4130, top1_acc: 0.8344, top5_acc: 0.9862, loss_cls: 2.2985, loss: 2.2985 +2023-12-24 12:42:13,781 - pyskl - INFO - Epoch [25][1200/1281] lr: 2.333e-02, eta: 18:16:41, time: 0.320, data_time: 0.000, memory: 4130, top1_acc: 0.8150, top5_acc: 0.9856, loss_cls: 2.3289, loss: 2.3289 +2023-12-24 12:42:39,653 - pyskl - INFO - Saving checkpoint at 25 epochs +2023-12-24 12:43:53,780 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:43:53,842 - pyskl - INFO - +top1_acc 0.7956 +top5_acc 0.9836 +2023-12-24 12:43:53,842 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:43:53,868 - pyskl - INFO - +mean_acc 0.7190 +2023-12-24 12:43:53,878 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_23.pth was removed +2023-12-24 12:43:54,214 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. +2023-12-24 12:43:54,214 - pyskl - INFO - Best top1_acc is 0.7956 at 25 epoch. +2023-12-24 12:43:54,220 - pyskl - INFO - Epoch(val) [25][533] top1_acc: 0.7956, top5_acc: 0.9836, mean_class_accuracy: 0.7190 +2023-12-24 12:44:58,322 - pyskl - INFO - Epoch [26][100/1281] lr: 2.332e-02, eta: 18:14:35, time: 0.641, data_time: 0.217, memory: 4130, top1_acc: 0.8313, top5_acc: 0.9938, loss_cls: 2.2728, loss: 2.2728 +2023-12-24 12:45:40,701 - pyskl - INFO - Epoch [26][200/1281] lr: 2.330e-02, eta: 18:14:01, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.7969, top5_acc: 0.9838, loss_cls: 2.3881, loss: 2.3881 +2023-12-24 12:46:23,367 - pyskl - INFO - Epoch [26][300/1281] lr: 2.329e-02, eta: 18:13:28, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8113, top5_acc: 0.9919, loss_cls: 2.3360, loss: 2.3360 +2023-12-24 12:47:05,881 - pyskl - INFO - Epoch [26][400/1281] lr: 2.328e-02, eta: 18:12:54, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8344, top5_acc: 0.9906, loss_cls: 2.2614, loss: 2.2614 +2023-12-24 12:47:48,168 - pyskl - INFO - Epoch [26][500/1281] lr: 2.327e-02, eta: 18:12:19, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.8225, top5_acc: 0.9931, loss_cls: 2.2540, loss: 2.2540 +2023-12-24 12:48:30,705 - pyskl - INFO - Epoch [26][600/1281] lr: 2.326e-02, eta: 18:11:45, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.7963, top5_acc: 0.9881, loss_cls: 2.3834, loss: 2.3834 +2023-12-24 12:49:13,111 - pyskl - INFO - Epoch [26][700/1281] lr: 2.325e-02, eta: 18:11:11, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8194, top5_acc: 0.9900, loss_cls: 2.3243, loss: 2.3243 +2023-12-24 12:49:56,035 - pyskl - INFO - Epoch [26][800/1281] lr: 2.324e-02, eta: 18:10:39, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.8200, top5_acc: 0.9888, loss_cls: 2.3047, loss: 2.3047 +2023-12-24 12:50:38,274 - pyskl - INFO - Epoch [26][900/1281] lr: 2.323e-02, eta: 18:10:03, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8287, top5_acc: 0.9900, loss_cls: 2.3181, loss: 2.3181 +2023-12-24 12:51:03,947 - pyskl - INFO - Epoch [26][1000/1281] lr: 2.322e-02, eta: 18:08:08, time: 0.257, data_time: 0.001, memory: 4130, top1_acc: 0.8069, top5_acc: 0.9906, loss_cls: 2.3229, loss: 2.3229 +2023-12-24 12:51:45,765 - pyskl - INFO - Epoch [26][1100/1281] lr: 2.321e-02, eta: 18:07:31, time: 0.418, data_time: 0.001, memory: 4130, top1_acc: 0.8275, top5_acc: 0.9881, loss_cls: 2.2990, loss: 2.2990 +2023-12-24 12:52:15,953 - pyskl - INFO - Epoch [26][1200/1281] lr: 2.320e-02, eta: 18:05:58, time: 0.302, data_time: 0.001, memory: 4130, top1_acc: 0.8119, top5_acc: 0.9856, loss_cls: 2.3334, loss: 2.3334 +2023-12-24 12:52:42,588 - pyskl - INFO - Saving checkpoint at 26 epochs +2023-12-24 12:54:00,123 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 12:54:00,178 - pyskl - INFO - +top1_acc 0.8057 +top5_acc 0.9845 +2023-12-24 12:54:00,178 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 12:54:00,186 - pyskl - INFO - +mean_acc 0.7335 +2023-12-24 12:54:00,191 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_25.pth was removed +2023-12-24 12:54:00,429 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. +2023-12-24 12:54:00,429 - pyskl - INFO - Best top1_acc is 0.8057 at 26 epoch. +2023-12-24 12:54:00,432 - pyskl - INFO - Epoch(val) [26][533] top1_acc: 0.8057, top5_acc: 0.9845, mean_class_accuracy: 0.7335 +2023-12-24 12:55:00,322 - pyskl - INFO - Epoch [27][100/1281] lr: 2.318e-02, eta: 18:03:35, time: 0.599, data_time: 0.166, memory: 4130, top1_acc: 0.8313, top5_acc: 0.9938, loss_cls: 2.2878, loss: 2.2878 +2023-12-24 12:55:43,228 - pyskl - INFO - Epoch [27][200/1281] lr: 2.317e-02, eta: 18:03:04, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9925, loss_cls: 2.2893, loss: 2.2893 +2023-12-24 12:56:25,452 - pyskl - INFO - Epoch [27][300/1281] lr: 2.316e-02, eta: 18:02:29, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.8319, top5_acc: 0.9931, loss_cls: 2.3045, loss: 2.3045 +2023-12-24 12:57:08,213 - pyskl - INFO - Epoch [27][400/1281] lr: 2.315e-02, eta: 18:01:56, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.8113, top5_acc: 0.9881, loss_cls: 2.3518, loss: 2.3518 +2023-12-24 12:57:51,178 - pyskl - INFO - Epoch [27][500/1281] lr: 2.314e-02, eta: 18:01:25, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8306, top5_acc: 0.9912, loss_cls: 2.2808, loss: 2.2808 +2023-12-24 12:58:33,120 - pyskl - INFO - Epoch [27][600/1281] lr: 2.313e-02, eta: 18:00:48, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8400, top5_acc: 0.9894, loss_cls: 2.2629, loss: 2.2629 +2023-12-24 12:59:15,657 - pyskl - INFO - Epoch [27][700/1281] lr: 2.312e-02, eta: 18:00:14, time: 0.425, data_time: 0.001, memory: 4130, top1_acc: 0.8213, top5_acc: 0.9919, loss_cls: 2.3282, loss: 2.3282 +2023-12-24 12:59:57,909 - pyskl - INFO - Epoch [27][800/1281] lr: 2.311e-02, eta: 17:59:39, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8206, top5_acc: 0.9912, loss_cls: 2.3181, loss: 2.3181 +2023-12-24 13:00:40,394 - pyskl - INFO - Epoch [27][900/1281] lr: 2.310e-02, eta: 17:59:05, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.8225, top5_acc: 0.9900, loss_cls: 2.2949, loss: 2.2949 +2023-12-24 13:01:08,177 - pyskl - INFO - Epoch [27][1000/1281] lr: 2.308e-02, eta: 17:57:23, time: 0.278, data_time: 0.001, memory: 4130, top1_acc: 0.8206, top5_acc: 0.9906, loss_cls: 2.3024, loss: 2.3024 +2023-12-24 13:01:49,285 - pyskl - INFO - Epoch [27][1100/1281] lr: 2.307e-02, eta: 17:56:43, time: 0.411, data_time: 0.000, memory: 4130, top1_acc: 0.8381, top5_acc: 0.9894, loss_cls: 2.2641, loss: 2.2641 +2023-12-24 13:02:20,066 - pyskl - INFO - Epoch [27][1200/1281] lr: 2.306e-02, eta: 17:55:16, time: 0.308, data_time: 0.000, memory: 4130, top1_acc: 0.8263, top5_acc: 0.9900, loss_cls: 2.2760, loss: 2.2760 +2023-12-24 13:02:46,274 - pyskl - INFO - Saving checkpoint at 27 epochs +2023-12-24 13:04:03,548 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:04:03,613 - pyskl - INFO - +top1_acc 0.7930 +top5_acc 0.9842 +2023-12-24 13:04:03,613 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:04:03,624 - pyskl - INFO - +mean_acc 0.7226 +2023-12-24 13:04:03,628 - pyskl - INFO - Epoch(val) [27][533] top1_acc: 0.7930, top5_acc: 0.9842, mean_class_accuracy: 0.7226 +2023-12-24 13:05:07,202 - pyskl - INFO - Epoch [28][100/1281] lr: 2.304e-02, eta: 17:53:14, time: 0.636, data_time: 0.215, memory: 4130, top1_acc: 0.8331, top5_acc: 0.9900, loss_cls: 2.2696, loss: 2.2696 +2023-12-24 13:05:49,388 - pyskl - INFO - Epoch [28][200/1281] lr: 2.303e-02, eta: 17:52:39, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8169, top5_acc: 0.9912, loss_cls: 2.2979, loss: 2.2979 +2023-12-24 13:06:32,171 - pyskl - INFO - Epoch [28][300/1281] lr: 2.302e-02, eta: 17:52:06, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.8150, top5_acc: 0.9900, loss_cls: 2.3206, loss: 2.3206 +2023-12-24 13:07:15,803 - pyskl - INFO - Epoch [28][400/1281] lr: 2.301e-02, eta: 17:51:38, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8337, top5_acc: 0.9925, loss_cls: 2.2509, loss: 2.2509 +2023-12-24 13:07:59,001 - pyskl - INFO - Epoch [28][500/1281] lr: 2.300e-02, eta: 17:51:07, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9956, loss_cls: 2.2817, loss: 2.2817 +2023-12-24 13:08:41,237 - pyskl - INFO - Epoch [28][600/1281] lr: 2.299e-02, eta: 17:50:32, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9881, loss_cls: 2.3146, loss: 2.3146 +2023-12-24 13:09:23,290 - pyskl - INFO - Epoch [28][700/1281] lr: 2.298e-02, eta: 17:49:56, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.8313, top5_acc: 0.9925, loss_cls: 2.2766, loss: 2.2766 +2023-12-24 13:10:05,600 - pyskl - INFO - Epoch [28][800/1281] lr: 2.297e-02, eta: 17:49:21, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8406, top5_acc: 0.9912, loss_cls: 2.2351, loss: 2.2351 +2023-12-24 13:10:47,962 - pyskl - INFO - Epoch [28][900/1281] lr: 2.295e-02, eta: 17:48:47, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8037, top5_acc: 0.9869, loss_cls: 2.3567, loss: 2.3567 +2023-12-24 13:11:13,469 - pyskl - INFO - Epoch [28][1000/1281] lr: 2.294e-02, eta: 17:46:58, time: 0.255, data_time: 0.001, memory: 4130, top1_acc: 0.8006, top5_acc: 0.9850, loss_cls: 2.3762, loss: 2.3762 +2023-12-24 13:11:55,335 - pyskl - INFO - Epoch [28][1100/1281] lr: 2.293e-02, eta: 17:46:21, time: 0.419, data_time: 0.001, memory: 4130, top1_acc: 0.8175, top5_acc: 0.9925, loss_cls: 2.2850, loss: 2.2850 +2023-12-24 13:12:24,305 - pyskl - INFO - Epoch [28][1200/1281] lr: 2.292e-02, eta: 17:44:48, time: 0.290, data_time: 0.001, memory: 4130, top1_acc: 0.8225, top5_acc: 0.9912, loss_cls: 2.2866, loss: 2.2866 +2023-12-24 13:12:54,495 - pyskl - INFO - Saving checkpoint at 28 epochs +2023-12-24 13:14:10,582 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:14:10,651 - pyskl - INFO - +top1_acc 0.8010 +top5_acc 0.9846 +2023-12-24 13:14:10,651 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:14:10,659 - pyskl - INFO - +mean_acc 0.7202 +2023-12-24 13:14:10,661 - pyskl - INFO - Epoch(val) [28][533] top1_acc: 0.8010, top5_acc: 0.9846, mean_class_accuracy: 0.7202 +2023-12-24 13:15:15,075 - pyskl - INFO - Epoch [29][100/1281] lr: 2.290e-02, eta: 17:42:53, time: 0.644, data_time: 0.216, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9950, loss_cls: 2.2452, loss: 2.2452 +2023-12-24 13:15:58,287 - pyskl - INFO - Epoch [29][200/1281] lr: 2.289e-02, eta: 17:42:22, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8506, top5_acc: 0.9931, loss_cls: 2.2065, loss: 2.2065 +2023-12-24 13:16:40,135 - pyskl - INFO - Epoch [29][300/1281] lr: 2.288e-02, eta: 17:41:46, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.8275, top5_acc: 0.9944, loss_cls: 2.2886, loss: 2.2886 +2023-12-24 13:17:22,874 - pyskl - INFO - Epoch [29][400/1281] lr: 2.287e-02, eta: 17:41:13, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8337, top5_acc: 0.9906, loss_cls: 2.2593, loss: 2.2593 +2023-12-24 13:18:05,444 - pyskl - INFO - Epoch [29][500/1281] lr: 2.285e-02, eta: 17:40:40, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8119, top5_acc: 0.9894, loss_cls: 2.3161, loss: 2.3161 +2023-12-24 13:18:47,711 - pyskl - INFO - Epoch [29][600/1281] lr: 2.284e-02, eta: 17:40:05, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8219, top5_acc: 0.9894, loss_cls: 2.3329, loss: 2.3329 +2023-12-24 13:19:30,379 - pyskl - INFO - Epoch [29][700/1281] lr: 2.283e-02, eta: 17:39:32, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8344, top5_acc: 0.9938, loss_cls: 2.2910, loss: 2.2910 +2023-12-24 13:20:12,128 - pyskl - INFO - Epoch [29][800/1281] lr: 2.282e-02, eta: 17:38:55, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.8419, top5_acc: 0.9938, loss_cls: 2.2598, loss: 2.2598 +2023-12-24 13:20:54,273 - pyskl - INFO - Epoch [29][900/1281] lr: 2.281e-02, eta: 17:38:19, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.8431, top5_acc: 0.9906, loss_cls: 2.2463, loss: 2.2463 +2023-12-24 13:21:16,743 - pyskl - INFO - Epoch [29][1000/1281] lr: 2.280e-02, eta: 17:36:21, time: 0.225, data_time: 0.001, memory: 4130, top1_acc: 0.8069, top5_acc: 0.9881, loss_cls: 2.3245, loss: 2.3245 +2023-12-24 13:22:01,480 - pyskl - INFO - Epoch [29][1100/1281] lr: 2.279e-02, eta: 17:35:56, time: 0.447, data_time: 0.000, memory: 4130, top1_acc: 0.8325, top5_acc: 0.9850, loss_cls: 2.3074, loss: 2.3074 +2023-12-24 13:22:29,243 - pyskl - INFO - Epoch [29][1200/1281] lr: 2.277e-02, eta: 17:34:21, time: 0.278, data_time: 0.001, memory: 4130, top1_acc: 0.8050, top5_acc: 0.9881, loss_cls: 2.3455, loss: 2.3455 +2023-12-24 13:22:58,352 - pyskl - INFO - Saving checkpoint at 29 epochs +2023-12-24 13:24:12,285 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:24:12,370 - pyskl - INFO - +top1_acc 0.7726 +top5_acc 0.9830 +2023-12-24 13:24:12,371 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:24:12,380 - pyskl - INFO - +mean_acc 0.6858 +2023-12-24 13:24:12,383 - pyskl - INFO - Epoch(val) [29][533] top1_acc: 0.7726, top5_acc: 0.9830, mean_class_accuracy: 0.6858 +2023-12-24 13:25:17,250 - pyskl - INFO - Epoch [30][100/1281] lr: 2.275e-02, eta: 17:32:30, time: 0.649, data_time: 0.215, memory: 4130, top1_acc: 0.8369, top5_acc: 0.9912, loss_cls: 2.2663, loss: 2.2663 +2023-12-24 13:26:00,185 - pyskl - INFO - Epoch [30][200/1281] lr: 2.274e-02, eta: 17:31:58, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8206, top5_acc: 0.9894, loss_cls: 2.3196, loss: 2.3196 +2023-12-24 13:26:43,124 - pyskl - INFO - Epoch [30][300/1281] lr: 2.273e-02, eta: 17:31:26, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8369, top5_acc: 0.9950, loss_cls: 2.2455, loss: 2.2455 +2023-12-24 13:27:25,294 - pyskl - INFO - Epoch [30][400/1281] lr: 2.272e-02, eta: 17:30:51, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.8356, top5_acc: 0.9906, loss_cls: 2.2764, loss: 2.2764 +2023-12-24 13:28:08,546 - pyskl - INFO - Epoch [30][500/1281] lr: 2.271e-02, eta: 17:30:20, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.8219, top5_acc: 0.9875, loss_cls: 2.2839, loss: 2.2839 +2023-12-24 13:28:51,838 - pyskl - INFO - Epoch [30][600/1281] lr: 2.269e-02, eta: 17:29:50, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.8425, top5_acc: 0.9906, loss_cls: 2.2465, loss: 2.2465 +2023-12-24 13:29:34,489 - pyskl - INFO - Epoch [30][700/1281] lr: 2.268e-02, eta: 17:29:17, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.8275, top5_acc: 0.9931, loss_cls: 2.2682, loss: 2.2682 +2023-12-24 13:30:17,092 - pyskl - INFO - Epoch [30][800/1281] lr: 2.267e-02, eta: 17:28:43, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8081, top5_acc: 0.9906, loss_cls: 2.3272, loss: 2.3272 +2023-12-24 13:30:58,670 - pyskl - INFO - Epoch [30][900/1281] lr: 2.266e-02, eta: 17:28:05, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.8163, top5_acc: 0.9906, loss_cls: 2.2912, loss: 2.2912 +2023-12-24 13:31:23,229 - pyskl - INFO - Epoch [30][1000/1281] lr: 2.265e-02, eta: 17:26:19, time: 0.246, data_time: 0.000, memory: 4130, top1_acc: 0.8231, top5_acc: 0.9931, loss_cls: 2.2884, loss: 2.2884 +2023-12-24 13:32:05,047 - pyskl - INFO - Epoch [30][1100/1281] lr: 2.263e-02, eta: 17:25:43, time: 0.418, data_time: 0.001, memory: 4130, top1_acc: 0.8300, top5_acc: 0.9919, loss_cls: 2.2836, loss: 2.2836 +2023-12-24 13:32:35,533 - pyskl - INFO - Epoch [30][1200/1281] lr: 2.262e-02, eta: 17:24:20, time: 0.305, data_time: 0.001, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9875, loss_cls: 2.2967, loss: 2.2967 +2023-12-24 13:33:01,918 - pyskl - INFO - Saving checkpoint at 30 epochs +2023-12-24 13:34:18,621 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:34:18,674 - pyskl - INFO - +top1_acc 0.7944 +top5_acc 0.9860 +2023-12-24 13:34:18,674 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:34:18,680 - pyskl - INFO - +mean_acc 0.7234 +2023-12-24 13:34:18,681 - pyskl - INFO - Epoch(val) [30][533] top1_acc: 0.7944, top5_acc: 0.9860, mean_class_accuracy: 0.7234 +2023-12-24 13:35:16,797 - pyskl - INFO - Epoch [31][100/1281] lr: 2.260e-02, eta: 17:22:04, time: 0.581, data_time: 0.154, memory: 4130, top1_acc: 0.8225, top5_acc: 0.9925, loss_cls: 2.3089, loss: 2.3089 +2023-12-24 13:35:59,090 - pyskl - INFO - Epoch [31][200/1281] lr: 2.259e-02, eta: 17:21:30, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8206, top5_acc: 0.9862, loss_cls: 2.3102, loss: 2.3102 +2023-12-24 13:36:41,445 - pyskl - INFO - Epoch [31][300/1281] lr: 2.258e-02, eta: 17:20:56, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8363, top5_acc: 0.9900, loss_cls: 2.2705, loss: 2.2705 +2023-12-24 13:37:24,273 - pyskl - INFO - Epoch [31][400/1281] lr: 2.256e-02, eta: 17:20:24, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9888, loss_cls: 2.2759, loss: 2.2759 +2023-12-24 13:38:06,464 - pyskl - INFO - Epoch [31][500/1281] lr: 2.255e-02, eta: 17:19:49, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.8244, top5_acc: 0.9925, loss_cls: 2.2799, loss: 2.2799 +2023-12-24 13:38:48,655 - pyskl - INFO - Epoch [31][600/1281] lr: 2.254e-02, eta: 17:19:14, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.8350, top5_acc: 0.9900, loss_cls: 2.2645, loss: 2.2645 +2023-12-24 13:39:31,814 - pyskl - INFO - Epoch [31][700/1281] lr: 2.253e-02, eta: 17:18:42, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8488, top5_acc: 0.9912, loss_cls: 2.2188, loss: 2.2188 +2023-12-24 13:40:14,489 - pyskl - INFO - Epoch [31][800/1281] lr: 2.252e-02, eta: 17:18:09, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8512, top5_acc: 0.9938, loss_cls: 2.2321, loss: 2.2321 +2023-12-24 13:40:57,002 - pyskl - INFO - Epoch [31][900/1281] lr: 2.250e-02, eta: 17:17:35, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.8125, top5_acc: 0.9900, loss_cls: 2.3021, loss: 2.3021 +2023-12-24 13:41:26,450 - pyskl - INFO - Epoch [31][1000/1281] lr: 2.249e-02, eta: 17:16:11, time: 0.294, data_time: 0.000, memory: 4130, top1_acc: 0.8250, top5_acc: 0.9888, loss_cls: 2.3182, loss: 2.3182 +2023-12-24 13:42:06,057 - pyskl - INFO - Epoch [31][1100/1281] lr: 2.248e-02, eta: 17:15:26, time: 0.396, data_time: 0.000, memory: 4130, top1_acc: 0.8263, top5_acc: 0.9875, loss_cls: 2.3192, loss: 2.3192 +2023-12-24 13:42:37,889 - pyskl - INFO - Epoch [31][1200/1281] lr: 2.247e-02, eta: 17:14:11, time: 0.318, data_time: 0.001, memory: 4130, top1_acc: 0.8287, top5_acc: 0.9925, loss_cls: 2.2764, loss: 2.2764 +2023-12-24 13:43:02,979 - pyskl - INFO - Saving checkpoint at 31 epochs +2023-12-24 13:44:19,996 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:44:20,061 - pyskl - INFO - +top1_acc 0.7327 +top5_acc 0.9705 +2023-12-24 13:44:20,061 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:44:20,072 - pyskl - INFO - +mean_acc 0.6477 +2023-12-24 13:44:20,075 - pyskl - INFO - Epoch(val) [31][533] top1_acc: 0.7327, top5_acc: 0.9705, mean_class_accuracy: 0.6477 +2023-12-24 13:45:24,482 - pyskl - INFO - Epoch [32][100/1281] lr: 2.244e-02, eta: 17:12:22, time: 0.644, data_time: 0.217, memory: 4130, top1_acc: 0.8413, top5_acc: 0.9912, loss_cls: 2.2598, loss: 2.2598 +2023-12-24 13:46:06,886 - pyskl - INFO - Epoch [32][200/1281] lr: 2.243e-02, eta: 17:11:48, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8387, top5_acc: 0.9912, loss_cls: 2.2528, loss: 2.2528 +2023-12-24 13:46:50,616 - pyskl - INFO - Epoch [32][300/1281] lr: 2.242e-02, eta: 17:11:19, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9919, loss_cls: 2.2530, loss: 2.2530 +2023-12-24 13:47:33,816 - pyskl - INFO - Epoch [32][400/1281] lr: 2.241e-02, eta: 17:10:48, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8344, top5_acc: 0.9925, loss_cls: 2.2908, loss: 2.2908 +2023-12-24 13:48:17,052 - pyskl - INFO - Epoch [32][500/1281] lr: 2.239e-02, eta: 17:10:17, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8375, top5_acc: 0.9938, loss_cls: 2.2356, loss: 2.2356 +2023-12-24 13:48:59,556 - pyskl - INFO - Epoch [32][600/1281] lr: 2.238e-02, eta: 17:09:43, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.8306, top5_acc: 0.9888, loss_cls: 2.2831, loss: 2.2831 +2023-12-24 13:49:41,467 - pyskl - INFO - Epoch [32][700/1281] lr: 2.237e-02, eta: 17:09:07, time: 0.419, data_time: 0.001, memory: 4130, top1_acc: 0.8606, top5_acc: 0.9906, loss_cls: 2.2026, loss: 2.2026 +2023-12-24 13:50:23,837 - pyskl - INFO - Epoch [32][800/1281] lr: 2.236e-02, eta: 17:08:33, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8350, top5_acc: 0.9906, loss_cls: 2.2593, loss: 2.2593 +2023-12-24 13:51:05,985 - pyskl - INFO - Epoch [32][900/1281] lr: 2.234e-02, eta: 17:07:57, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.8562, top5_acc: 0.9969, loss_cls: 2.1847, loss: 2.1847 +2023-12-24 13:51:33,096 - pyskl - INFO - Epoch [32][1000/1281] lr: 2.233e-02, eta: 17:06:26, time: 0.271, data_time: 0.001, memory: 4130, top1_acc: 0.8225, top5_acc: 0.9894, loss_cls: 2.2775, loss: 2.2775 +2023-12-24 13:52:12,755 - pyskl - INFO - Epoch [32][1100/1281] lr: 2.232e-02, eta: 17:05:42, time: 0.397, data_time: 0.001, memory: 4130, top1_acc: 0.8375, top5_acc: 0.9938, loss_cls: 2.2415, loss: 2.2415 +2023-12-24 13:52:44,070 - pyskl - INFO - Epoch [32][1200/1281] lr: 2.231e-02, eta: 17:04:26, time: 0.313, data_time: 0.000, memory: 4130, top1_acc: 0.8356, top5_acc: 0.9888, loss_cls: 2.2328, loss: 2.2328 +2023-12-24 13:53:12,786 - pyskl - INFO - Saving checkpoint at 32 epochs +2023-12-24 13:54:29,560 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 13:54:29,614 - pyskl - INFO - +top1_acc 0.7371 +top5_acc 0.9683 +2023-12-24 13:54:29,614 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 13:54:29,628 - pyskl - INFO - +mean_acc 0.6422 +2023-12-24 13:54:29,630 - pyskl - INFO - Epoch(val) [32][533] top1_acc: 0.7371, top5_acc: 0.9683, mean_class_accuracy: 0.6422 +2023-12-24 13:55:32,710 - pyskl - INFO - Epoch [33][100/1281] lr: 2.228e-02, eta: 17:02:34, time: 0.631, data_time: 0.207, memory: 4130, top1_acc: 0.8406, top5_acc: 0.9906, loss_cls: 2.2483, loss: 2.2483 +2023-12-24 13:56:14,674 - pyskl - INFO - Epoch [33][200/1281] lr: 2.227e-02, eta: 17:01:59, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.8469, top5_acc: 0.9925, loss_cls: 2.2478, loss: 2.2478 +2023-12-24 13:56:56,748 - pyskl - INFO - Epoch [33][300/1281] lr: 2.226e-02, eta: 17:01:23, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.8600, top5_acc: 0.9975, loss_cls: 2.2107, loss: 2.2107 +2023-12-24 13:57:39,093 - pyskl - INFO - Epoch [33][400/1281] lr: 2.225e-02, eta: 17:00:49, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8425, top5_acc: 0.9894, loss_cls: 2.2530, loss: 2.2530 +2023-12-24 13:58:21,370 - pyskl - INFO - Epoch [33][500/1281] lr: 2.223e-02, eta: 17:00:14, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.8488, top5_acc: 0.9950, loss_cls: 2.2270, loss: 2.2270 +2023-12-24 13:59:03,793 - pyskl - INFO - Epoch [33][600/1281] lr: 2.222e-02, eta: 16:59:40, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8419, top5_acc: 0.9919, loss_cls: 2.2511, loss: 2.2511 +2023-12-24 13:59:45,857 - pyskl - INFO - Epoch [33][700/1281] lr: 2.221e-02, eta: 16:59:05, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.8319, top5_acc: 0.9900, loss_cls: 2.2884, loss: 2.2884 +2023-12-24 14:00:27,952 - pyskl - INFO - Epoch [33][800/1281] lr: 2.219e-02, eta: 16:58:29, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.8438, top5_acc: 0.9931, loss_cls: 2.2433, loss: 2.2433 +2023-12-24 14:01:10,192 - pyskl - INFO - Epoch [33][900/1281] lr: 2.218e-02, eta: 16:57:54, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.8369, top5_acc: 0.9944, loss_cls: 2.2394, loss: 2.2394 +2023-12-24 14:01:35,184 - pyskl - INFO - Epoch [33][1000/1281] lr: 2.217e-02, eta: 16:56:18, time: 0.250, data_time: 0.001, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9888, loss_cls: 2.2571, loss: 2.2571 +2023-12-24 14:02:17,145 - pyskl - INFO - Epoch [33][1100/1281] lr: 2.216e-02, eta: 16:55:42, time: 0.420, data_time: 0.001, memory: 4130, top1_acc: 0.8381, top5_acc: 0.9931, loss_cls: 2.2485, loss: 2.2485 +2023-12-24 14:02:47,318 - pyskl - INFO - Epoch [33][1200/1281] lr: 2.214e-02, eta: 16:54:24, time: 0.302, data_time: 0.001, memory: 4130, top1_acc: 0.8294, top5_acc: 0.9938, loss_cls: 2.2568, loss: 2.2568 +2023-12-24 14:03:13,588 - pyskl - INFO - Saving checkpoint at 33 epochs +2023-12-24 14:04:26,414 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:04:26,487 - pyskl - INFO - +top1_acc 0.7639 +top5_acc 0.9758 +2023-12-24 14:04:26,487 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:04:26,502 - pyskl - INFO - +mean_acc 0.6920 +2023-12-24 14:04:26,508 - pyskl - INFO - Epoch(val) [33][533] top1_acc: 0.7639, top5_acc: 0.9758, mean_class_accuracy: 0.6920 +2023-12-24 14:05:30,475 - pyskl - INFO - Epoch [34][100/1281] lr: 2.212e-02, eta: 16:52:37, time: 0.640, data_time: 0.216, memory: 4130, top1_acc: 0.8456, top5_acc: 0.9931, loss_cls: 2.2535, loss: 2.2535 +2023-12-24 14:06:12,700 - pyskl - INFO - Epoch [34][200/1281] lr: 2.211e-02, eta: 16:52:02, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.8612, top5_acc: 0.9944, loss_cls: 2.2052, loss: 2.2052 +2023-12-24 14:06:55,901 - pyskl - INFO - Epoch [34][300/1281] lr: 2.209e-02, eta: 16:51:31, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8406, top5_acc: 0.9919, loss_cls: 2.2655, loss: 2.2655 +2023-12-24 14:07:38,436 - pyskl - INFO - Epoch [34][400/1281] lr: 2.208e-02, eta: 16:50:57, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.8469, top5_acc: 0.9925, loss_cls: 2.2287, loss: 2.2287 +2023-12-24 14:08:21,001 - pyskl - INFO - Epoch [34][500/1281] lr: 2.207e-02, eta: 16:50:24, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8431, top5_acc: 0.9950, loss_cls: 2.2261, loss: 2.2261 +2023-12-24 14:09:03,314 - pyskl - INFO - Epoch [34][600/1281] lr: 2.205e-02, eta: 16:49:49, time: 0.423, data_time: 0.001, memory: 4130, top1_acc: 0.8400, top5_acc: 0.9950, loss_cls: 2.2252, loss: 2.2252 +2023-12-24 14:09:45,832 - pyskl - INFO - Epoch [34][700/1281] lr: 2.204e-02, eta: 16:49:15, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.8481, top5_acc: 0.9944, loss_cls: 2.2010, loss: 2.2010 +2023-12-24 14:10:28,216 - pyskl - INFO - Epoch [34][800/1281] lr: 2.203e-02, eta: 16:48:41, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8475, top5_acc: 0.9919, loss_cls: 2.2442, loss: 2.2442 +2023-12-24 14:11:10,104 - pyskl - INFO - Epoch [34][900/1281] lr: 2.201e-02, eta: 16:48:05, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8644, top5_acc: 0.9950, loss_cls: 2.2020, loss: 2.2020 +2023-12-24 14:11:38,493 - pyskl - INFO - Epoch [34][1000/1281] lr: 2.200e-02, eta: 16:46:42, time: 0.284, data_time: 0.001, memory: 4130, top1_acc: 0.8469, top5_acc: 0.9919, loss_cls: 2.2542, loss: 2.2542 +2023-12-24 14:12:17,161 - pyskl - INFO - Epoch [34][1100/1281] lr: 2.199e-02, eta: 16:45:55, time: 0.387, data_time: 0.000, memory: 4130, top1_acc: 0.8281, top5_acc: 0.9950, loss_cls: 2.2628, loss: 2.2628 +2023-12-24 14:12:50,344 - pyskl - INFO - Epoch [34][1200/1281] lr: 2.197e-02, eta: 16:44:49, time: 0.332, data_time: 0.001, memory: 4130, top1_acc: 0.8275, top5_acc: 0.9925, loss_cls: 2.3021, loss: 2.3021 +2023-12-24 14:13:13,575 - pyskl - INFO - Saving checkpoint at 34 epochs +2023-12-24 14:14:30,129 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:14:30,183 - pyskl - INFO - +top1_acc 0.7627 +top5_acc 0.9809 +2023-12-24 14:14:30,183 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:14:30,190 - pyskl - INFO - +mean_acc 0.6940 +2023-12-24 14:14:30,191 - pyskl - INFO - Epoch(val) [34][533] top1_acc: 0.7627, top5_acc: 0.9809, mean_class_accuracy: 0.6940 +2023-12-24 14:15:28,909 - pyskl - INFO - Epoch [35][100/1281] lr: 2.195e-02, eta: 16:42:46, time: 0.587, data_time: 0.162, memory: 4130, top1_acc: 0.8294, top5_acc: 0.9931, loss_cls: 2.2734, loss: 2.2734 +2023-12-24 14:16:11,576 - pyskl - INFO - Epoch [35][200/1281] lr: 2.194e-02, eta: 16:42:13, time: 0.427, data_time: 0.001, memory: 4130, top1_acc: 0.8612, top5_acc: 0.9962, loss_cls: 2.1793, loss: 2.1793 +2023-12-24 14:16:54,785 - pyskl - INFO - Epoch [35][300/1281] lr: 2.192e-02, eta: 16:41:41, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8381, top5_acc: 0.9894, loss_cls: 2.2722, loss: 2.2722 +2023-12-24 14:17:36,820 - pyskl - INFO - Epoch [35][400/1281] lr: 2.191e-02, eta: 16:41:06, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.8531, top5_acc: 0.9931, loss_cls: 2.2014, loss: 2.2014 +2023-12-24 14:18:18,637 - pyskl - INFO - Epoch [35][500/1281] lr: 2.190e-02, eta: 16:40:30, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 0.8413, top5_acc: 0.9881, loss_cls: 2.2584, loss: 2.2584 +2023-12-24 14:19:02,037 - pyskl - INFO - Epoch [35][600/1281] lr: 2.188e-02, eta: 16:39:59, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.8525, top5_acc: 0.9969, loss_cls: 2.1941, loss: 2.1941 +2023-12-24 14:19:45,364 - pyskl - INFO - Epoch [35][700/1281] lr: 2.187e-02, eta: 16:39:27, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8438, top5_acc: 0.9925, loss_cls: 2.2391, loss: 2.2391 +2023-12-24 14:20:28,426 - pyskl - INFO - Epoch [35][800/1281] lr: 2.185e-02, eta: 16:38:55, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8481, top5_acc: 0.9938, loss_cls: 2.2301, loss: 2.2301 +2023-12-24 14:21:10,786 - pyskl - INFO - Epoch [35][900/1281] lr: 2.184e-02, eta: 16:38:21, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8512, top5_acc: 0.9919, loss_cls: 2.2268, loss: 2.2268 +2023-12-24 14:21:42,770 - pyskl - INFO - Epoch [35][1000/1281] lr: 2.183e-02, eta: 16:37:12, time: 0.320, data_time: 0.000, memory: 4130, top1_acc: 0.8300, top5_acc: 0.9919, loss_cls: 2.2959, loss: 2.2959 +2023-12-24 14:22:19,879 - pyskl - INFO - Epoch [35][1100/1281] lr: 2.181e-02, eta: 16:36:20, time: 0.371, data_time: 0.000, memory: 4130, top1_acc: 0.8319, top5_acc: 0.9925, loss_cls: 2.2430, loss: 2.2430 +2023-12-24 14:22:54,155 - pyskl - INFO - Epoch [35][1200/1281] lr: 2.180e-02, eta: 16:35:19, time: 0.343, data_time: 0.001, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9894, loss_cls: 2.2584, loss: 2.2584 +2023-12-24 14:23:16,978 - pyskl - INFO - Saving checkpoint at 35 epochs +2023-12-24 14:24:33,161 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:24:33,216 - pyskl - INFO - +top1_acc 0.8112 +top5_acc 0.9883 +2023-12-24 14:24:33,216 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:24:33,223 - pyskl - INFO - +mean_acc 0.7283 +2023-12-24 14:24:33,228 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_26.pth was removed +2023-12-24 14:24:33,428 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth. +2023-12-24 14:24:33,428 - pyskl - INFO - Best top1_acc is 0.8112 at 35 epoch. +2023-12-24 14:24:33,431 - pyskl - INFO - Epoch(val) [35][533] top1_acc: 0.8112, top5_acc: 0.9883, mean_class_accuracy: 0.7283 +2023-12-24 14:25:33,838 - pyskl - INFO - Epoch [36][100/1281] lr: 2.178e-02, eta: 16:33:23, time: 0.604, data_time: 0.178, memory: 4130, top1_acc: 0.8481, top5_acc: 0.9975, loss_cls: 2.2002, loss: 2.2002 +2023-12-24 14:26:17,052 - pyskl - INFO - Epoch [36][200/1281] lr: 2.176e-02, eta: 16:32:51, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8450, top5_acc: 0.9919, loss_cls: 2.2367, loss: 2.2367 +2023-12-24 14:26:59,966 - pyskl - INFO - Epoch [36][300/1281] lr: 2.175e-02, eta: 16:32:19, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9931, loss_cls: 2.1803, loss: 2.1803 +2023-12-24 14:27:42,717 - pyskl - INFO - Epoch [36][400/1281] lr: 2.173e-02, eta: 16:31:46, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.8631, top5_acc: 0.9975, loss_cls: 2.1895, loss: 2.1895 +2023-12-24 14:28:24,654 - pyskl - INFO - Epoch [36][500/1281] lr: 2.172e-02, eta: 16:31:10, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.8556, top5_acc: 0.9919, loss_cls: 2.2035, loss: 2.2035 +2023-12-24 14:29:07,084 - pyskl - INFO - Epoch [36][600/1281] lr: 2.171e-02, eta: 16:30:35, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8569, top5_acc: 0.9919, loss_cls: 2.2291, loss: 2.2291 +2023-12-24 14:29:49,657 - pyskl - INFO - Epoch [36][700/1281] lr: 2.169e-02, eta: 16:30:02, time: 0.426, data_time: 0.001, memory: 4130, top1_acc: 0.8419, top5_acc: 0.9931, loss_cls: 2.2444, loss: 2.2444 +2023-12-24 14:30:32,029 - pyskl - INFO - Epoch [36][800/1281] lr: 2.168e-02, eta: 16:29:27, time: 0.424, data_time: 0.001, memory: 4130, top1_acc: 0.8400, top5_acc: 0.9944, loss_cls: 2.2784, loss: 2.2784 +2023-12-24 14:31:15,351 - pyskl - INFO - Epoch [36][900/1281] lr: 2.167e-02, eta: 16:28:55, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8381, top5_acc: 0.9925, loss_cls: 2.2653, loss: 2.2653 +2023-12-24 14:31:48,715 - pyskl - INFO - Epoch [36][1000/1281] lr: 2.165e-02, eta: 16:27:52, time: 0.334, data_time: 0.001, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9919, loss_cls: 2.2611, loss: 2.2611 +2023-12-24 14:32:21,075 - pyskl - INFO - Epoch [36][1100/1281] lr: 2.164e-02, eta: 16:26:46, time: 0.324, data_time: 0.000, memory: 4130, top1_acc: 0.8413, top5_acc: 0.9894, loss_cls: 2.2717, loss: 2.2717 +2023-12-24 14:32:59,789 - pyskl - INFO - Epoch [36][1200/1281] lr: 2.162e-02, eta: 16:25:59, time: 0.387, data_time: 0.000, memory: 4130, top1_acc: 0.8281, top5_acc: 0.9881, loss_cls: 2.2776, loss: 2.2776 +2023-12-24 14:33:20,995 - pyskl - INFO - Saving checkpoint at 36 epochs +2023-12-24 14:34:37,860 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:34:37,918 - pyskl - INFO - +top1_acc 0.7886 +top5_acc 0.9862 +2023-12-24 14:34:37,918 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:34:37,925 - pyskl - INFO - +mean_acc 0.7118 +2023-12-24 14:34:37,927 - pyskl - INFO - Epoch(val) [36][533] top1_acc: 0.7886, top5_acc: 0.9862, mean_class_accuracy: 0.7118 +2023-12-24 14:35:40,744 - pyskl - INFO - Epoch [37][100/1281] lr: 2.160e-02, eta: 16:24:13, time: 0.628, data_time: 0.210, memory: 4130, top1_acc: 0.8419, top5_acc: 0.9931, loss_cls: 2.2317, loss: 2.2317 +2023-12-24 14:36:23,712 - pyskl - INFO - Epoch [37][200/1281] lr: 2.158e-02, eta: 16:23:40, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8606, top5_acc: 0.9969, loss_cls: 2.1962, loss: 2.1962 +2023-12-24 14:37:07,635 - pyskl - INFO - Epoch [37][300/1281] lr: 2.157e-02, eta: 16:23:11, time: 0.439, data_time: 0.000, memory: 4130, top1_acc: 0.8481, top5_acc: 0.9912, loss_cls: 2.2252, loss: 2.2252 +2023-12-24 14:37:51,666 - pyskl - INFO - Epoch [37][400/1281] lr: 2.156e-02, eta: 16:22:41, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.8444, top5_acc: 0.9931, loss_cls: 2.2533, loss: 2.2533 +2023-12-24 14:38:35,932 - pyskl - INFO - Epoch [37][500/1281] lr: 2.154e-02, eta: 16:22:13, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8625, top5_acc: 0.9944, loss_cls: 2.2065, loss: 2.2065 +2023-12-24 14:39:18,771 - pyskl - INFO - Epoch [37][600/1281] lr: 2.153e-02, eta: 16:21:40, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.8612, top5_acc: 0.9956, loss_cls: 2.1778, loss: 2.1778 +2023-12-24 14:40:01,716 - pyskl - INFO - Epoch [37][700/1281] lr: 2.151e-02, eta: 16:21:07, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.8344, top5_acc: 0.9950, loss_cls: 2.2558, loss: 2.2558 +2023-12-24 14:40:46,228 - pyskl - INFO - Epoch [37][800/1281] lr: 2.150e-02, eta: 16:20:39, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8344, top5_acc: 0.9919, loss_cls: 2.2575, loss: 2.2575 +2023-12-24 14:41:30,201 - pyskl - INFO - Epoch [37][900/1281] lr: 2.149e-02, eta: 16:20:09, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8350, top5_acc: 0.9944, loss_cls: 2.2555, loss: 2.2555 +2023-12-24 14:42:03,543 - pyskl - INFO - Epoch [37][1000/1281] lr: 2.147e-02, eta: 16:19:06, time: 0.333, data_time: 0.001, memory: 4130, top1_acc: 0.8444, top5_acc: 0.9969, loss_cls: 2.2142, loss: 2.2142 +2023-12-24 14:42:38,420 - pyskl - INFO - Epoch [37][1100/1281] lr: 2.146e-02, eta: 16:18:08, time: 0.349, data_time: 0.001, memory: 4130, top1_acc: 0.8444, top5_acc: 0.9931, loss_cls: 2.2411, loss: 2.2411 +2023-12-24 14:43:17,280 - pyskl - INFO - Epoch [37][1200/1281] lr: 2.144e-02, eta: 16:17:23, time: 0.389, data_time: 0.001, memory: 4130, top1_acc: 0.8562, top5_acc: 0.9938, loss_cls: 2.2138, loss: 2.2138 +2023-12-24 14:43:36,980 - pyskl - INFO - Saving checkpoint at 37 epochs +2023-12-24 14:44:55,485 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:44:55,555 - pyskl - INFO - +top1_acc 0.7949 +top5_acc 0.9827 +2023-12-24 14:44:55,555 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:44:55,566 - pyskl - INFO - +mean_acc 0.7331 +2023-12-24 14:44:55,569 - pyskl - INFO - Epoch(val) [37][533] top1_acc: 0.7949, top5_acc: 0.9827, mean_class_accuracy: 0.7331 +2023-12-24 14:46:01,986 - pyskl - INFO - Epoch [38][100/1281] lr: 2.142e-02, eta: 16:15:49, time: 0.664, data_time: 0.233, memory: 4130, top1_acc: 0.8512, top5_acc: 0.9919, loss_cls: 2.1980, loss: 2.1980 +2023-12-24 14:46:45,256 - pyskl - INFO - Epoch [38][200/1281] lr: 2.140e-02, eta: 16:15:17, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8819, top5_acc: 0.9944, loss_cls: 2.1379, loss: 2.1379 +2023-12-24 14:47:28,819 - pyskl - INFO - Epoch [38][300/1281] lr: 2.139e-02, eta: 16:14:45, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9919, loss_cls: 2.2443, loss: 2.2443 +2023-12-24 14:48:13,603 - pyskl - INFO - Epoch [38][400/1281] lr: 2.137e-02, eta: 16:14:18, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.8562, top5_acc: 0.9950, loss_cls: 2.2054, loss: 2.2054 +2023-12-24 14:48:58,365 - pyskl - INFO - Epoch [38][500/1281] lr: 2.136e-02, eta: 16:13:50, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.8531, top5_acc: 0.9931, loss_cls: 2.2216, loss: 2.2216 +2023-12-24 14:49:43,646 - pyskl - INFO - Epoch [38][600/1281] lr: 2.134e-02, eta: 16:13:24, time: 0.453, data_time: 0.000, memory: 4130, top1_acc: 0.8700, top5_acc: 0.9912, loss_cls: 2.1824, loss: 2.1824 +2023-12-24 14:50:28,772 - pyskl - INFO - Epoch [38][700/1281] lr: 2.133e-02, eta: 16:12:57, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8319, top5_acc: 0.9944, loss_cls: 2.2778, loss: 2.2778 +2023-12-24 14:51:12,235 - pyskl - INFO - Epoch [38][800/1281] lr: 2.132e-02, eta: 16:12:26, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8375, top5_acc: 0.9925, loss_cls: 2.2510, loss: 2.2510 +2023-12-24 14:51:55,212 - pyskl - INFO - Epoch [38][900/1281] lr: 2.130e-02, eta: 16:11:52, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.8525, top5_acc: 0.9938, loss_cls: 2.2275, loss: 2.2275 +2023-12-24 14:52:28,830 - pyskl - INFO - Epoch [38][1000/1281] lr: 2.129e-02, eta: 16:10:51, time: 0.336, data_time: 0.001, memory: 4130, top1_acc: 0.8319, top5_acc: 0.9888, loss_cls: 2.2828, loss: 2.2828 +2023-12-24 14:53:04,105 - pyskl - INFO - Epoch [38][1100/1281] lr: 2.127e-02, eta: 16:09:55, time: 0.353, data_time: 0.001, memory: 4130, top1_acc: 0.8475, top5_acc: 0.9969, loss_cls: 2.2237, loss: 2.2237 +2023-12-24 14:53:42,986 - pyskl - INFO - Epoch [38][1200/1281] lr: 2.126e-02, eta: 16:09:10, time: 0.389, data_time: 0.001, memory: 4130, top1_acc: 0.8475, top5_acc: 0.9956, loss_cls: 2.2321, loss: 2.2321 +2023-12-24 14:54:02,867 - pyskl - INFO - Saving checkpoint at 38 epochs +2023-12-24 14:55:21,684 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 14:55:21,752 - pyskl - INFO - +top1_acc 0.7670 +top5_acc 0.9791 +2023-12-24 14:55:21,752 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 14:55:21,761 - pyskl - INFO - +mean_acc 0.6987 +2023-12-24 14:55:21,764 - pyskl - INFO - Epoch(val) [38][533] top1_acc: 0.7670, top5_acc: 0.9791, mean_class_accuracy: 0.6987 +2023-12-24 14:56:23,896 - pyskl - INFO - Epoch [39][100/1281] lr: 2.123e-02, eta: 16:07:24, time: 0.621, data_time: 0.190, memory: 4130, top1_acc: 0.8569, top5_acc: 0.9956, loss_cls: 2.2009, loss: 2.2009 +2023-12-24 14:57:07,159 - pyskl - INFO - Epoch [39][200/1281] lr: 2.122e-02, eta: 16:06:51, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8581, top5_acc: 0.9950, loss_cls: 2.2252, loss: 2.2252 +2023-12-24 14:57:50,224 - pyskl - INFO - Epoch [39][300/1281] lr: 2.120e-02, eta: 16:06:18, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.8719, top5_acc: 0.9975, loss_cls: 2.1765, loss: 2.1765 +2023-12-24 14:58:33,655 - pyskl - INFO - Epoch [39][400/1281] lr: 2.119e-02, eta: 16:05:46, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8469, top5_acc: 0.9944, loss_cls: 2.2137, loss: 2.2137 +2023-12-24 14:59:16,721 - pyskl - INFO - Epoch [39][500/1281] lr: 2.117e-02, eta: 16:05:13, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8512, top5_acc: 0.9950, loss_cls: 2.2223, loss: 2.2223 +2023-12-24 14:59:59,619 - pyskl - INFO - Epoch [39][600/1281] lr: 2.116e-02, eta: 16:04:40, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8619, top5_acc: 0.9950, loss_cls: 2.1918, loss: 2.1918 +2023-12-24 15:00:43,035 - pyskl - INFO - Epoch [39][700/1281] lr: 2.114e-02, eta: 16:04:08, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9944, loss_cls: 2.2326, loss: 2.2326 +2023-12-24 15:01:26,254 - pyskl - INFO - Epoch [39][800/1281] lr: 2.113e-02, eta: 16:03:35, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8581, top5_acc: 0.9962, loss_cls: 2.2008, loss: 2.2008 +2023-12-24 15:02:09,945 - pyskl - INFO - Epoch [39][900/1281] lr: 2.111e-02, eta: 16:03:04, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8425, top5_acc: 0.9925, loss_cls: 2.2492, loss: 2.2492 +2023-12-24 15:02:46,711 - pyskl - INFO - Epoch [39][1000/1281] lr: 2.110e-02, eta: 16:02:12, time: 0.368, data_time: 0.001, memory: 4130, top1_acc: 0.8612, top5_acc: 0.9950, loss_cls: 2.1813, loss: 2.1813 +2023-12-24 15:03:17,960 - pyskl - INFO - Epoch [39][1100/1281] lr: 2.108e-02, eta: 16:01:05, time: 0.312, data_time: 0.001, memory: 4130, top1_acc: 0.8625, top5_acc: 0.9912, loss_cls: 2.2184, loss: 2.2184 +2023-12-24 15:04:00,587 - pyskl - INFO - Epoch [39][1200/1281] lr: 2.107e-02, eta: 16:00:31, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.8519, top5_acc: 0.9925, loss_cls: 2.2221, loss: 2.2221 +2023-12-24 15:04:18,868 - pyskl - INFO - Saving checkpoint at 39 epochs +2023-12-24 15:05:38,382 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:05:38,452 - pyskl - INFO - +top1_acc 0.7447 +top5_acc 0.9702 +2023-12-24 15:05:38,452 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:05:38,463 - pyskl - INFO - +mean_acc 0.6782 +2023-12-24 15:05:38,466 - pyskl - INFO - Epoch(val) [39][533] top1_acc: 0.7447, top5_acc: 0.9702, mean_class_accuracy: 0.6782 +2023-12-24 15:06:42,613 - pyskl - INFO - Epoch [40][100/1281] lr: 2.104e-02, eta: 15:58:51, time: 0.641, data_time: 0.212, memory: 4130, top1_acc: 0.8469, top5_acc: 0.9950, loss_cls: 2.2360, loss: 2.2360 +2023-12-24 15:07:25,665 - pyskl - INFO - Epoch [40][200/1281] lr: 2.103e-02, eta: 15:58:18, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.8606, top5_acc: 0.9962, loss_cls: 2.1786, loss: 2.1786 +2023-12-24 15:08:08,566 - pyskl - INFO - Epoch [40][300/1281] lr: 2.101e-02, eta: 15:57:44, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.8575, top5_acc: 0.9944, loss_cls: 2.2021, loss: 2.2021 +2023-12-24 15:08:51,941 - pyskl - INFO - Epoch [40][400/1281] lr: 2.100e-02, eta: 15:57:12, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8356, top5_acc: 0.9925, loss_cls: 2.2408, loss: 2.2408 +2023-12-24 15:09:37,126 - pyskl - INFO - Epoch [40][500/1281] lr: 2.098e-02, eta: 15:56:45, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9938, loss_cls: 2.1808, loss: 2.1808 +2023-12-24 15:10:22,073 - pyskl - INFO - Epoch [40][600/1281] lr: 2.097e-02, eta: 15:56:16, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.8550, top5_acc: 0.9962, loss_cls: 2.2097, loss: 2.2097 +2023-12-24 15:11:07,307 - pyskl - INFO - Epoch [40][700/1281] lr: 2.095e-02, eta: 15:55:49, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8488, top5_acc: 0.9944, loss_cls: 2.2366, loss: 2.2366 +2023-12-24 15:11:51,690 - pyskl - INFO - Epoch [40][800/1281] lr: 2.094e-02, eta: 15:55:19, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8456, top5_acc: 0.9938, loss_cls: 2.2339, loss: 2.2339 +2023-12-24 15:12:35,475 - pyskl - INFO - Epoch [40][900/1281] lr: 2.092e-02, eta: 15:54:48, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8350, top5_acc: 0.9950, loss_cls: 2.2262, loss: 2.2262 +2023-12-24 15:13:15,821 - pyskl - INFO - Epoch [40][1000/1281] lr: 2.091e-02, eta: 15:54:07, time: 0.403, data_time: 0.001, memory: 4130, top1_acc: 0.8531, top5_acc: 0.9950, loss_cls: 2.2166, loss: 2.2166 +2023-12-24 15:13:45,653 - pyskl - INFO - Epoch [40][1100/1281] lr: 2.089e-02, eta: 15:52:57, time: 0.298, data_time: 0.001, memory: 4130, top1_acc: 0.8706, top5_acc: 0.9944, loss_cls: 2.1815, loss: 2.1815 +2023-12-24 15:14:30,125 - pyskl - INFO - Epoch [40][1200/1281] lr: 2.088e-02, eta: 15:52:27, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8750, top5_acc: 0.9931, loss_cls: 2.1581, loss: 2.1581 +2023-12-24 15:14:49,098 - pyskl - INFO - Saving checkpoint at 40 epochs +2023-12-24 15:16:08,098 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:16:08,166 - pyskl - INFO - +top1_acc 0.7959 +top5_acc 0.9835 +2023-12-24 15:16:08,166 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:16:08,175 - pyskl - INFO - +mean_acc 0.7210 +2023-12-24 15:16:08,179 - pyskl - INFO - Epoch(val) [40][533] top1_acc: 0.7959, top5_acc: 0.9835, mean_class_accuracy: 0.7210 +2023-12-24 15:17:12,483 - pyskl - INFO - Epoch [41][100/1281] lr: 2.085e-02, eta: 15:50:49, time: 0.643, data_time: 0.194, memory: 4130, top1_acc: 0.8363, top5_acc: 0.9944, loss_cls: 2.2602, loss: 2.2602 +2023-12-24 15:17:55,981 - pyskl - INFO - Epoch [41][200/1281] lr: 2.083e-02, eta: 15:50:16, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8531, top5_acc: 0.9944, loss_cls: 2.2100, loss: 2.2100 +2023-12-24 15:18:39,189 - pyskl - INFO - Epoch [41][300/1281] lr: 2.082e-02, eta: 15:49:43, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9956, loss_cls: 2.1512, loss: 2.1512 +2023-12-24 15:19:22,703 - pyskl - INFO - Epoch [41][400/1281] lr: 2.080e-02, eta: 15:49:11, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.8688, top5_acc: 0.9944, loss_cls: 2.1911, loss: 2.1911 +2023-12-24 15:20:06,758 - pyskl - INFO - Epoch [41][500/1281] lr: 2.079e-02, eta: 15:48:40, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.8700, top5_acc: 0.9912, loss_cls: 2.1743, loss: 2.1743 +2023-12-24 15:20:51,099 - pyskl - INFO - Epoch [41][600/1281] lr: 2.077e-02, eta: 15:48:09, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8544, top5_acc: 0.9944, loss_cls: 2.2362, loss: 2.2362 +2023-12-24 15:21:36,332 - pyskl - INFO - Epoch [41][700/1281] lr: 2.076e-02, eta: 15:47:42, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8494, top5_acc: 0.9906, loss_cls: 2.2358, loss: 2.2358 +2023-12-24 15:22:21,392 - pyskl - INFO - Epoch [41][800/1281] lr: 2.074e-02, eta: 15:47:13, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9925, loss_cls: 2.1911, loss: 2.1911 +2023-12-24 15:23:06,289 - pyskl - INFO - Epoch [41][900/1281] lr: 2.073e-02, eta: 15:46:44, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.8712, top5_acc: 0.9912, loss_cls: 2.1972, loss: 2.1972 +2023-12-24 15:23:45,705 - pyskl - INFO - Epoch [41][1000/1281] lr: 2.071e-02, eta: 15:46:01, time: 0.394, data_time: 0.001, memory: 4130, top1_acc: 0.8387, top5_acc: 0.9925, loss_cls: 2.2631, loss: 2.2631 +2023-12-24 15:24:13,992 - pyskl - INFO - Epoch [41][1100/1281] lr: 2.070e-02, eta: 15:44:47, time: 0.283, data_time: 0.001, memory: 4130, top1_acc: 0.8394, top5_acc: 0.9931, loss_cls: 2.2562, loss: 2.2562 +2023-12-24 15:24:58,542 - pyskl - INFO - Epoch [41][1200/1281] lr: 2.068e-02, eta: 15:44:17, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8562, top5_acc: 0.9938, loss_cls: 2.2044, loss: 2.2044 +2023-12-24 15:25:18,290 - pyskl - INFO - Saving checkpoint at 41 epochs +2023-12-24 15:26:37,941 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:26:38,007 - pyskl - INFO - +top1_acc 0.7566 +top5_acc 0.9754 +2023-12-24 15:26:38,007 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:26:38,017 - pyskl - INFO - +mean_acc 0.7164 +2023-12-24 15:26:38,020 - pyskl - INFO - Epoch(val) [41][533] top1_acc: 0.7566, top5_acc: 0.9754, mean_class_accuracy: 0.7164 +2023-12-24 15:27:43,445 - pyskl - INFO - Epoch [42][100/1281] lr: 2.065e-02, eta: 15:42:43, time: 0.654, data_time: 0.221, memory: 4130, top1_acc: 0.8794, top5_acc: 0.9944, loss_cls: 2.1470, loss: 2.1470 +2023-12-24 15:28:26,237 - pyskl - INFO - Epoch [42][200/1281] lr: 2.064e-02, eta: 15:42:08, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.8712, top5_acc: 0.9975, loss_cls: 2.1579, loss: 2.1579 +2023-12-24 15:29:09,999 - pyskl - INFO - Epoch [42][300/1281] lr: 2.062e-02, eta: 15:41:36, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8731, top5_acc: 0.9944, loss_cls: 2.1568, loss: 2.1568 +2023-12-24 15:29:55,134 - pyskl - INFO - Epoch [42][400/1281] lr: 2.061e-02, eta: 15:41:08, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8575, top5_acc: 0.9956, loss_cls: 2.2059, loss: 2.2059 +2023-12-24 15:30:39,427 - pyskl - INFO - Epoch [42][500/1281] lr: 2.059e-02, eta: 15:40:37, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8469, top5_acc: 0.9944, loss_cls: 2.2317, loss: 2.2317 +2023-12-24 15:31:23,702 - pyskl - INFO - Epoch [42][600/1281] lr: 2.057e-02, eta: 15:40:06, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8600, top5_acc: 0.9956, loss_cls: 2.1671, loss: 2.1671 +2023-12-24 15:32:07,487 - pyskl - INFO - Epoch [42][700/1281] lr: 2.056e-02, eta: 15:39:34, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 0.8419, top5_acc: 0.9925, loss_cls: 2.2438, loss: 2.2438 +2023-12-24 15:32:52,632 - pyskl - INFO - Epoch [42][800/1281] lr: 2.054e-02, eta: 15:39:05, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8531, top5_acc: 0.9900, loss_cls: 2.2079, loss: 2.2079 +2023-12-24 15:33:36,965 - pyskl - INFO - Epoch [42][900/1281] lr: 2.053e-02, eta: 15:38:34, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8606, top5_acc: 0.9950, loss_cls: 2.1858, loss: 2.1858 +2023-12-24 15:34:17,731 - pyskl - INFO - Epoch [42][1000/1281] lr: 2.051e-02, eta: 15:37:54, time: 0.408, data_time: 0.001, memory: 4130, top1_acc: 0.8812, top5_acc: 0.9931, loss_cls: 2.1492, loss: 2.1492 +2023-12-24 15:34:45,558 - pyskl - INFO - Epoch [42][1100/1281] lr: 2.050e-02, eta: 15:36:40, time: 0.278, data_time: 0.001, memory: 4130, top1_acc: 0.8462, top5_acc: 0.9969, loss_cls: 2.2246, loss: 2.2246 +2023-12-24 15:35:31,002 - pyskl - INFO - Epoch [42][1200/1281] lr: 2.048e-02, eta: 15:36:12, time: 0.455, data_time: 0.001, memory: 4130, top1_acc: 0.8569, top5_acc: 0.9944, loss_cls: 2.2290, loss: 2.2290 +2023-12-24 15:35:49,855 - pyskl - INFO - Saving checkpoint at 42 epochs +2023-12-24 15:37:05,344 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:37:05,414 - pyskl - INFO - +top1_acc 0.8184 +top5_acc 0.9899 +2023-12-24 15:37:05,414 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:37:05,422 - pyskl - INFO - +mean_acc 0.7219 +2023-12-24 15:37:05,428 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_35.pth was removed +2023-12-24 15:37:05,678 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_42.pth. +2023-12-24 15:37:05,679 - pyskl - INFO - Best top1_acc is 0.8184 at 42 epoch. +2023-12-24 15:37:05,682 - pyskl - INFO - Epoch(val) [42][533] top1_acc: 0.8184, top5_acc: 0.9899, mean_class_accuracy: 0.7219 +2023-12-24 15:38:11,484 - pyskl - INFO - Epoch [43][100/1281] lr: 2.045e-02, eta: 15:34:39, time: 0.658, data_time: 0.227, memory: 4130, top1_acc: 0.8712, top5_acc: 0.9956, loss_cls: 2.1750, loss: 2.1750 +2023-12-24 15:38:54,895 - pyskl - INFO - Epoch [43][200/1281] lr: 2.044e-02, eta: 15:34:06, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8688, top5_acc: 0.9944, loss_cls: 2.1621, loss: 2.1621 +2023-12-24 15:39:37,949 - pyskl - INFO - Epoch [43][300/1281] lr: 2.042e-02, eta: 15:33:32, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8494, top5_acc: 0.9938, loss_cls: 2.2309, loss: 2.2309 +2023-12-24 15:40:20,746 - pyskl - INFO - Epoch [43][400/1281] lr: 2.040e-02, eta: 15:32:57, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.8700, top5_acc: 0.9944, loss_cls: 2.1733, loss: 2.1733 +2023-12-24 15:41:03,817 - pyskl - INFO - Epoch [43][500/1281] lr: 2.039e-02, eta: 15:32:23, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8625, top5_acc: 0.9919, loss_cls: 2.2282, loss: 2.2282 +2023-12-24 15:41:47,192 - pyskl - INFO - Epoch [43][600/1281] lr: 2.037e-02, eta: 15:31:49, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8575, top5_acc: 0.9944, loss_cls: 2.1991, loss: 2.1991 +2023-12-24 15:42:30,600 - pyskl - INFO - Epoch [43][700/1281] lr: 2.036e-02, eta: 15:31:16, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8506, top5_acc: 0.9950, loss_cls: 2.2080, loss: 2.2080 +2023-12-24 15:43:13,952 - pyskl - INFO - Epoch [43][800/1281] lr: 2.034e-02, eta: 15:30:42, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8669, top5_acc: 0.9919, loss_cls: 2.2155, loss: 2.2155 +2023-12-24 15:43:57,059 - pyskl - INFO - Epoch [43][900/1281] lr: 2.033e-02, eta: 15:30:08, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8712, top5_acc: 0.9938, loss_cls: 2.1547, loss: 2.1547 +2023-12-24 15:44:36,314 - pyskl - INFO - Epoch [43][1000/1281] lr: 2.031e-02, eta: 15:29:24, time: 0.393, data_time: 0.001, memory: 4130, top1_acc: 0.8625, top5_acc: 0.9931, loss_cls: 2.1797, loss: 2.1797 +2023-12-24 15:45:04,333 - pyskl - INFO - Epoch [43][1100/1281] lr: 2.029e-02, eta: 15:28:12, time: 0.280, data_time: 0.000, memory: 4130, top1_acc: 0.8525, top5_acc: 0.9944, loss_cls: 2.1987, loss: 2.1987 +2023-12-24 15:45:49,311 - pyskl - INFO - Epoch [43][1200/1281] lr: 2.028e-02, eta: 15:27:42, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.8419, top5_acc: 0.9931, loss_cls: 2.2185, loss: 2.2185 +2023-12-24 15:46:09,337 - pyskl - INFO - Saving checkpoint at 43 epochs +2023-12-24 15:47:29,256 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:47:29,317 - pyskl - INFO - +top1_acc 0.8237 +top5_acc 0.9870 +2023-12-24 15:47:29,318 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:47:29,326 - pyskl - INFO - +mean_acc 0.7478 +2023-12-24 15:47:29,331 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_42.pth was removed +2023-12-24 15:47:29,593 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_43.pth. +2023-12-24 15:47:29,594 - pyskl - INFO - Best top1_acc is 0.8237 at 43 epoch. +2023-12-24 15:47:29,596 - pyskl - INFO - Epoch(val) [43][533] top1_acc: 0.8237, top5_acc: 0.9870, mean_class_accuracy: 0.7478 +2023-12-24 15:48:34,823 - pyskl - INFO - Epoch [44][100/1281] lr: 2.025e-02, eta: 15:26:08, time: 0.652, data_time: 0.222, memory: 4130, top1_acc: 0.8656, top5_acc: 0.9969, loss_cls: 2.1593, loss: 2.1593 +2023-12-24 15:49:17,655 - pyskl - INFO - Epoch [44][200/1281] lr: 2.023e-02, eta: 15:25:33, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9950, loss_cls: 2.1633, loss: 2.1633 +2023-12-24 15:50:02,788 - pyskl - INFO - Epoch [44][300/1281] lr: 2.022e-02, eta: 15:25:04, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8844, top5_acc: 0.9931, loss_cls: 2.1487, loss: 2.1487 +2023-12-24 15:50:47,998 - pyskl - INFO - Epoch [44][400/1281] lr: 2.020e-02, eta: 15:24:35, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9981, loss_cls: 2.1766, loss: 2.1766 +2023-12-24 15:51:33,213 - pyskl - INFO - Epoch [44][500/1281] lr: 2.018e-02, eta: 15:24:05, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8675, top5_acc: 0.9925, loss_cls: 2.1690, loss: 2.1690 +2023-12-24 15:52:18,393 - pyskl - INFO - Epoch [44][600/1281] lr: 2.017e-02, eta: 15:23:36, time: 0.452, data_time: 0.000, memory: 4130, top1_acc: 0.8606, top5_acc: 0.9931, loss_cls: 2.1823, loss: 2.1823 +2023-12-24 15:53:02,058 - pyskl - INFO - Epoch [44][700/1281] lr: 2.015e-02, eta: 15:23:03, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.8625, top5_acc: 0.9956, loss_cls: 2.1854, loss: 2.1854 +2023-12-24 15:53:45,759 - pyskl - INFO - Epoch [44][800/1281] lr: 2.014e-02, eta: 15:22:30, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9919, loss_cls: 2.1846, loss: 2.1846 +2023-12-24 15:54:29,144 - pyskl - INFO - Epoch [44][900/1281] lr: 2.012e-02, eta: 15:21:56, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8844, top5_acc: 0.9950, loss_cls: 2.1216, loss: 2.1216 +2023-12-24 15:55:09,472 - pyskl - INFO - Epoch [44][1000/1281] lr: 2.010e-02, eta: 15:21:15, time: 0.403, data_time: 0.001, memory: 4130, top1_acc: 0.8306, top5_acc: 0.9944, loss_cls: 2.2937, loss: 2.2937 +2023-12-24 15:55:36,972 - pyskl - INFO - Epoch [44][1100/1281] lr: 2.009e-02, eta: 15:20:02, time: 0.275, data_time: 0.001, memory: 4130, top1_acc: 0.8444, top5_acc: 0.9925, loss_cls: 2.2242, loss: 2.2242 +2023-12-24 15:56:22,502 - pyskl - INFO - Epoch [44][1200/1281] lr: 2.007e-02, eta: 15:19:34, time: 0.455, data_time: 0.001, memory: 4130, top1_acc: 0.8481, top5_acc: 0.9919, loss_cls: 2.2161, loss: 2.2161 +2023-12-24 15:56:41,780 - pyskl - INFO - Saving checkpoint at 44 epochs +2023-12-24 15:57:55,875 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 15:57:55,943 - pyskl - INFO - +top1_acc 0.8154 +top5_acc 0.9847 +2023-12-24 15:57:55,944 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 15:57:55,964 - pyskl - INFO - +mean_acc 0.7395 +2023-12-24 15:57:55,968 - pyskl - INFO - Epoch(val) [44][533] top1_acc: 0.8154, top5_acc: 0.9847, mean_class_accuracy: 0.7395 +2023-12-24 15:59:03,100 - pyskl - INFO - Epoch [45][100/1281] lr: 2.004e-02, eta: 15:18:05, time: 0.671, data_time: 0.233, memory: 4130, top1_acc: 0.8769, top5_acc: 0.9944, loss_cls: 2.1526, loss: 2.1526 +2023-12-24 15:59:48,379 - pyskl - INFO - Epoch [45][200/1281] lr: 2.003e-02, eta: 15:17:35, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.8756, top5_acc: 0.9956, loss_cls: 2.1560, loss: 2.1560 +2023-12-24 16:00:32,885 - pyskl - INFO - Epoch [45][300/1281] lr: 2.001e-02, eta: 15:17:04, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8662, top5_acc: 0.9944, loss_cls: 2.1864, loss: 2.1864 +2023-12-24 16:01:16,611 - pyskl - INFO - Epoch [45][400/1281] lr: 1.999e-02, eta: 15:16:31, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9938, loss_cls: 2.1625, loss: 2.1625 +2023-12-24 16:02:00,248 - pyskl - INFO - Epoch [45][500/1281] lr: 1.998e-02, eta: 15:15:57, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8550, top5_acc: 0.9938, loss_cls: 2.2065, loss: 2.2065 +2023-12-24 16:02:43,629 - pyskl - INFO - Epoch [45][600/1281] lr: 1.996e-02, eta: 15:15:23, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8556, top5_acc: 0.9950, loss_cls: 2.2165, loss: 2.2165 +2023-12-24 16:03:26,893 - pyskl - INFO - Epoch [45][700/1281] lr: 1.994e-02, eta: 15:14:49, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8575, top5_acc: 0.9950, loss_cls: 2.1789, loss: 2.1789 +2023-12-24 16:04:11,861 - pyskl - INFO - Epoch [45][800/1281] lr: 1.993e-02, eta: 15:14:19, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.8706, top5_acc: 0.9900, loss_cls: 2.1844, loss: 2.1844 +2023-12-24 16:04:55,607 - pyskl - INFO - Epoch [45][900/1281] lr: 1.991e-02, eta: 15:13:45, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8644, top5_acc: 0.9975, loss_cls: 2.1620, loss: 2.1620 +2023-12-24 16:05:37,299 - pyskl - INFO - Epoch [45][1000/1281] lr: 1.989e-02, eta: 15:13:07, time: 0.417, data_time: 0.001, memory: 4130, top1_acc: 0.8569, top5_acc: 0.9938, loss_cls: 2.2056, loss: 2.2056 +2023-12-24 16:06:02,978 - pyskl - INFO - Epoch [45][1100/1281] lr: 1.988e-02, eta: 15:11:51, time: 0.257, data_time: 0.001, memory: 4130, top1_acc: 0.8562, top5_acc: 0.9969, loss_cls: 2.1920, loss: 2.1920 +2023-12-24 16:06:48,850 - pyskl - INFO - Epoch [45][1200/1281] lr: 1.986e-02, eta: 15:11:23, time: 0.459, data_time: 0.001, memory: 4130, top1_acc: 0.8662, top5_acc: 0.9956, loss_cls: 2.1705, loss: 2.1705 +2023-12-24 16:07:12,485 - pyskl - INFO - Saving checkpoint at 45 epochs +2023-12-24 16:08:37,524 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 16:08:37,607 - pyskl - INFO - +top1_acc 0.8143 +top5_acc 0.9896 +2023-12-24 16:08:37,607 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 16:08:37,621 - pyskl - INFO - +mean_acc 0.7502 +2023-12-24 16:08:37,627 - pyskl - INFO - Epoch(val) [45][533] top1_acc: 0.8143, top5_acc: 0.9896, mean_class_accuracy: 0.7502 +2023-12-24 16:09:47,642 - pyskl - INFO - Epoch [46][100/1281] lr: 1.983e-02, eta: 15:10:01, time: 0.700, data_time: 0.271, memory: 4130, top1_acc: 0.8794, top5_acc: 0.9969, loss_cls: 2.1469, loss: 2.1469 +2023-12-24 16:10:32,817 - pyskl - INFO - Epoch [46][200/1281] lr: 1.981e-02, eta: 15:09:31, time: 0.452, data_time: 0.000, memory: 4130, top1_acc: 0.8625, top5_acc: 0.9956, loss_cls: 2.1710, loss: 2.1710 +2023-12-24 16:11:19,719 - pyskl - INFO - Epoch [46][300/1281] lr: 1.980e-02, eta: 15:09:05, time: 0.469, data_time: 0.001, memory: 4130, top1_acc: 0.8631, top5_acc: 0.9956, loss_cls: 2.1785, loss: 2.1785 +2023-12-24 16:12:06,667 - pyskl - INFO - Epoch [46][400/1281] lr: 1.978e-02, eta: 15:08:39, time: 0.469, data_time: 0.001, memory: 4130, top1_acc: 0.8838, top5_acc: 0.9969, loss_cls: 2.1307, loss: 2.1307 +2023-12-24 16:12:51,286 - pyskl - INFO - Epoch [46][500/1281] lr: 1.976e-02, eta: 15:08:07, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8806, top5_acc: 0.9962, loss_cls: 2.1389, loss: 2.1389 +2023-12-24 16:13:35,404 - pyskl - INFO - Epoch [46][600/1281] lr: 1.975e-02, eta: 15:07:35, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.8581, top5_acc: 0.9938, loss_cls: 2.2042, loss: 2.2042 +2023-12-24 16:14:20,646 - pyskl - INFO - Epoch [46][700/1281] lr: 1.973e-02, eta: 15:07:04, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8631, top5_acc: 0.9956, loss_cls: 2.1697, loss: 2.1697 +2023-12-24 16:15:05,516 - pyskl - INFO - Epoch [46][800/1281] lr: 1.971e-02, eta: 15:06:33, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.8662, top5_acc: 0.9969, loss_cls: 2.1485, loss: 2.1485 +2023-12-24 16:15:49,347 - pyskl - INFO - Epoch [46][900/1281] lr: 1.970e-02, eta: 15:06:00, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 0.8600, top5_acc: 0.9938, loss_cls: 2.1854, loss: 2.1854 +2023-12-24 16:16:29,880 - pyskl - INFO - Epoch [46][1000/1281] lr: 1.968e-02, eta: 15:05:19, time: 0.405, data_time: 0.001, memory: 4130, top1_acc: 0.8619, top5_acc: 0.9919, loss_cls: 2.1880, loss: 2.1880 +2023-12-24 16:16:59,212 - pyskl - INFO - Epoch [46][1100/1281] lr: 1.966e-02, eta: 15:04:12, time: 0.293, data_time: 0.001, memory: 4130, top1_acc: 0.8525, top5_acc: 0.9962, loss_cls: 2.1953, loss: 2.1953 +2023-12-24 16:17:45,975 - pyskl - INFO - Epoch [46][1200/1281] lr: 1.965e-02, eta: 15:03:45, time: 0.468, data_time: 0.001, memory: 4130, top1_acc: 0.8738, top5_acc: 0.9919, loss_cls: 2.1798, loss: 2.1798 +2023-12-24 16:18:08,158 - pyskl - INFO - Saving checkpoint at 46 epochs +2023-12-24 16:19:32,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 16:19:33,042 - pyskl - INFO - +top1_acc 0.8040 +top5_acc 0.9863 +2023-12-24 16:19:33,042 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 16:19:33,053 - pyskl - INFO - +mean_acc 0.7291 +2023-12-24 16:19:33,057 - pyskl - INFO - Epoch(val) [46][533] top1_acc: 0.8040, top5_acc: 0.9863, mean_class_accuracy: 0.7291 +2023-12-24 16:20:39,949 - pyskl - INFO - Epoch [47][100/1281] lr: 1.962e-02, eta: 15:02:17, time: 0.669, data_time: 0.232, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9969, loss_cls: 2.1296, loss: 2.1296 +2023-12-24 16:21:23,550 - pyskl - INFO - Epoch [47][200/1281] lr: 1.960e-02, eta: 15:01:43, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9950, loss_cls: 2.1768, loss: 2.1768 +2023-12-24 16:22:09,234 - pyskl - INFO - Epoch [47][300/1281] lr: 1.958e-02, eta: 15:01:13, time: 0.457, data_time: 0.001, memory: 4130, top1_acc: 0.8944, top5_acc: 0.9994, loss_cls: 2.1003, loss: 2.1003 +2023-12-24 16:22:56,165 - pyskl - INFO - Epoch [47][400/1281] lr: 1.957e-02, eta: 15:00:46, time: 0.469, data_time: 0.001, memory: 4130, top1_acc: 0.8681, top5_acc: 0.9956, loss_cls: 2.1315, loss: 2.1315 +2023-12-24 16:23:44,169 - pyskl - INFO - Epoch [47][500/1281] lr: 1.955e-02, eta: 15:00:22, time: 0.480, data_time: 0.001, memory: 4130, top1_acc: 0.8600, top5_acc: 0.9931, loss_cls: 2.1856, loss: 2.1856 +2023-12-24 16:24:31,641 - pyskl - INFO - Epoch [47][600/1281] lr: 1.953e-02, eta: 14:59:56, time: 0.475, data_time: 0.001, memory: 4130, top1_acc: 0.8806, top5_acc: 0.9962, loss_cls: 2.1293, loss: 2.1293 +2023-12-24 16:25:16,986 - pyskl - INFO - Epoch [47][700/1281] lr: 1.952e-02, eta: 14:59:26, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.8569, top5_acc: 0.9900, loss_cls: 2.2113, loss: 2.2113 +2023-12-24 16:26:02,222 - pyskl - INFO - Epoch [47][800/1281] lr: 1.950e-02, eta: 14:58:55, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8506, top5_acc: 0.9956, loss_cls: 2.2148, loss: 2.2148 +2023-12-24 16:26:48,202 - pyskl - INFO - Epoch [47][900/1281] lr: 1.948e-02, eta: 14:58:26, time: 0.460, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9944, loss_cls: 2.2246, loss: 2.2246 +2023-12-24 16:27:31,064 - pyskl - INFO - Epoch [47][1000/1281] lr: 1.947e-02, eta: 14:57:50, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8638, top5_acc: 0.9962, loss_cls: 2.1972, loss: 2.1972 +2023-12-24 16:28:01,250 - pyskl - INFO - Epoch [47][1100/1281] lr: 1.945e-02, eta: 14:56:46, time: 0.302, data_time: 0.001, memory: 4130, top1_acc: 0.8531, top5_acc: 0.9900, loss_cls: 2.2067, loss: 2.2067 +2023-12-24 16:28:49,075 - pyskl - INFO - Epoch [47][1200/1281] lr: 1.943e-02, eta: 14:56:21, time: 0.478, data_time: 0.001, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9969, loss_cls: 2.1363, loss: 2.1363 +2023-12-24 16:29:13,509 - pyskl - INFO - Saving checkpoint at 47 epochs +2023-12-24 16:30:36,615 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 16:30:36,708 - pyskl - INFO - +top1_acc 0.8397 +top5_acc 0.9918 +2023-12-24 16:30:36,709 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 16:30:36,737 - pyskl - INFO - +mean_acc 0.7594 +2023-12-24 16:30:36,748 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_43.pth was removed +2023-12-24 16:30:37,163 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. +2023-12-24 16:30:37,163 - pyskl - INFO - Best top1_acc is 0.8397 at 47 epoch. +2023-12-24 16:30:37,167 - pyskl - INFO - Epoch(val) [47][533] top1_acc: 0.8397, top5_acc: 0.9918, mean_class_accuracy: 0.7594 +2023-12-24 16:31:48,598 - pyskl - INFO - Epoch [48][100/1281] lr: 1.940e-02, eta: 14:55:02, time: 0.714, data_time: 0.262, memory: 4130, top1_acc: 0.8844, top5_acc: 0.9956, loss_cls: 2.1236, loss: 2.1236 +2023-12-24 16:32:36,675 - pyskl - INFO - Epoch [48][200/1281] lr: 1.938e-02, eta: 14:54:38, time: 0.481, data_time: 0.001, memory: 4130, top1_acc: 0.8869, top5_acc: 0.9969, loss_cls: 2.1223, loss: 2.1223 +2023-12-24 16:33:24,707 - pyskl - INFO - Epoch [48][300/1281] lr: 1.937e-02, eta: 14:54:13, time: 0.480, data_time: 0.002, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9956, loss_cls: 2.1372, loss: 2.1372 +2023-12-24 16:34:13,624 - pyskl - INFO - Epoch [48][400/1281] lr: 1.935e-02, eta: 14:53:50, time: 0.489, data_time: 0.001, memory: 4130, top1_acc: 0.8581, top5_acc: 0.9981, loss_cls: 2.1826, loss: 2.1826 +2023-12-24 16:34:57,543 - pyskl - INFO - Epoch [48][500/1281] lr: 1.933e-02, eta: 14:53:16, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8719, top5_acc: 0.9962, loss_cls: 2.1493, loss: 2.1493 +2023-12-24 16:35:43,351 - pyskl - INFO - Epoch [48][600/1281] lr: 1.932e-02, eta: 14:52:46, time: 0.458, data_time: 0.001, memory: 4130, top1_acc: 0.8656, top5_acc: 0.9956, loss_cls: 2.1729, loss: 2.1729 +2023-12-24 16:36:30,679 - pyskl - INFO - Epoch [48][700/1281] lr: 1.930e-02, eta: 14:52:19, time: 0.473, data_time: 0.001, memory: 4130, top1_acc: 0.8825, top5_acc: 0.9962, loss_cls: 2.1548, loss: 2.1548 +2023-12-24 16:37:15,299 - pyskl - INFO - Epoch [48][800/1281] lr: 1.928e-02, eta: 14:51:46, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9988, loss_cls: 2.1551, loss: 2.1551 +2023-12-24 16:38:03,634 - pyskl - INFO - Epoch [48][900/1281] lr: 1.926e-02, eta: 14:51:22, time: 0.483, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9931, loss_cls: 2.1873, loss: 2.1873 +2023-12-24 16:38:47,440 - pyskl - INFO - Epoch [48][1000/1281] lr: 1.925e-02, eta: 14:50:47, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8738, top5_acc: 0.9956, loss_cls: 2.1661, loss: 2.1661 +2023-12-24 16:39:16,982 - pyskl - INFO - Epoch [48][1100/1281] lr: 1.923e-02, eta: 14:49:42, time: 0.295, data_time: 0.001, memory: 4130, top1_acc: 0.8500, top5_acc: 0.9944, loss_cls: 2.2287, loss: 2.2287 +2023-12-24 16:40:03,688 - pyskl - INFO - Epoch [48][1200/1281] lr: 1.921e-02, eta: 14:49:14, time: 0.467, data_time: 0.001, memory: 4130, top1_acc: 0.8612, top5_acc: 0.9919, loss_cls: 2.1964, loss: 2.1964 +2023-12-24 16:40:30,130 - pyskl - INFO - Saving checkpoint at 48 epochs +2023-12-24 16:42:03,783 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 16:42:03,851 - pyskl - INFO - +top1_acc 0.8166 +top5_acc 0.9871 +2023-12-24 16:42:03,851 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 16:42:03,863 - pyskl - INFO - +mean_acc 0.7597 +2023-12-24 16:42:03,866 - pyskl - INFO - Epoch(val) [48][533] top1_acc: 0.8166, top5_acc: 0.9871, mean_class_accuracy: 0.7597 +2023-12-24 16:43:14,892 - pyskl - INFO - Epoch [49][100/1281] lr: 1.918e-02, eta: 14:47:54, time: 0.710, data_time: 0.257, memory: 4130, top1_acc: 0.8894, top5_acc: 0.9981, loss_cls: 2.1006, loss: 2.1006 +2023-12-24 16:44:02,860 - pyskl - INFO - Epoch [49][200/1281] lr: 1.916e-02, eta: 14:47:29, time: 0.480, data_time: 0.001, memory: 4130, top1_acc: 0.8806, top5_acc: 0.9956, loss_cls: 2.1483, loss: 2.1483 +2023-12-24 16:44:50,671 - pyskl - INFO - Epoch [49][300/1281] lr: 1.915e-02, eta: 14:47:03, time: 0.478, data_time: 0.001, memory: 4130, top1_acc: 0.8875, top5_acc: 0.9956, loss_cls: 2.1319, loss: 2.1319 +2023-12-24 16:45:34,468 - pyskl - INFO - Epoch [49][400/1281] lr: 1.913e-02, eta: 14:46:28, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9944, loss_cls: 2.1654, loss: 2.1654 +2023-12-24 16:46:22,608 - pyskl - INFO - Epoch [49][500/1281] lr: 1.911e-02, eta: 14:46:03, time: 0.481, data_time: 0.001, memory: 4130, top1_acc: 0.8662, top5_acc: 0.9919, loss_cls: 2.1727, loss: 2.1727 +2023-12-24 16:47:10,212 - pyskl - INFO - Epoch [49][600/1281] lr: 1.909e-02, eta: 14:45:36, time: 0.476, data_time: 0.001, memory: 4130, top1_acc: 0.8744, top5_acc: 0.9931, loss_cls: 2.1704, loss: 2.1704 +2023-12-24 16:47:55,879 - pyskl - INFO - Epoch [49][700/1281] lr: 1.908e-02, eta: 14:45:05, time: 0.457, data_time: 0.001, memory: 4130, top1_acc: 0.8700, top5_acc: 0.9912, loss_cls: 2.1831, loss: 2.1831 +2023-12-24 16:48:44,222 - pyskl - INFO - Epoch [49][800/1281] lr: 1.906e-02, eta: 14:44:40, time: 0.483, data_time: 0.001, memory: 4130, top1_acc: 0.8750, top5_acc: 0.9975, loss_cls: 2.1716, loss: 2.1716 +2023-12-24 16:49:32,008 - pyskl - INFO - Epoch [49][900/1281] lr: 1.904e-02, eta: 14:44:13, time: 0.478, data_time: 0.001, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9956, loss_cls: 2.1679, loss: 2.1679 +2023-12-24 16:50:11,643 - pyskl - INFO - Epoch [49][1000/1281] lr: 1.902e-02, eta: 14:43:30, time: 0.396, data_time: 0.001, memory: 4130, top1_acc: 0.8700, top5_acc: 0.9950, loss_cls: 2.1734, loss: 2.1734 +2023-12-24 16:50:41,041 - pyskl - INFO - Epoch [49][1100/1281] lr: 1.901e-02, eta: 14:42:25, time: 0.294, data_time: 0.001, memory: 4130, top1_acc: 0.8831, top5_acc: 0.9931, loss_cls: 2.1511, loss: 2.1511 +2023-12-24 16:51:28,405 - pyskl - INFO - Epoch [49][1200/1281] lr: 1.899e-02, eta: 14:41:58, time: 0.474, data_time: 0.001, memory: 4130, top1_acc: 0.8819, top5_acc: 0.9969, loss_cls: 2.1274, loss: 2.1274 +2023-12-24 16:51:52,568 - pyskl - INFO - Saving checkpoint at 49 epochs +2023-12-24 16:53:21,883 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 16:53:21,948 - pyskl - INFO - +top1_acc 0.8483 +top5_acc 0.9906 +2023-12-24 16:53:21,948 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 16:53:21,956 - pyskl - INFO - +mean_acc 0.7966 +2023-12-24 16:53:21,967 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_47.pth was removed +2023-12-24 16:53:22,321 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth. +2023-12-24 16:53:22,321 - pyskl - INFO - Best top1_acc is 0.8483 at 49 epoch. +2023-12-24 16:53:22,324 - pyskl - INFO - Epoch(val) [49][533] top1_acc: 0.8483, top5_acc: 0.9906, mean_class_accuracy: 0.7966 +2023-12-24 16:54:36,902 - pyskl - INFO - Epoch [50][100/1281] lr: 1.896e-02, eta: 14:40:45, time: 0.746, data_time: 0.261, memory: 4130, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 2.0839, loss: 2.0839 +2023-12-24 16:55:25,408 - pyskl - INFO - Epoch [50][200/1281] lr: 1.894e-02, eta: 14:40:20, time: 0.485, data_time: 0.001, memory: 4130, top1_acc: 0.8850, top5_acc: 0.9969, loss_cls: 2.1201, loss: 2.1201 +2023-12-24 16:56:10,256 - pyskl - INFO - Epoch [50][300/1281] lr: 1.892e-02, eta: 14:39:47, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.8825, top5_acc: 0.9950, loss_cls: 2.1425, loss: 2.1425 +2023-12-24 16:56:55,244 - pyskl - INFO - Epoch [50][400/1281] lr: 1.891e-02, eta: 14:39:14, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.8819, top5_acc: 0.9969, loss_cls: 2.1470, loss: 2.1470 +2023-12-24 16:57:43,284 - pyskl - INFO - Epoch [50][500/1281] lr: 1.889e-02, eta: 14:38:48, time: 0.480, data_time: 0.001, memory: 4130, top1_acc: 0.8662, top5_acc: 0.9912, loss_cls: 2.1708, loss: 2.1708 +2023-12-24 16:58:31,981 - pyskl - INFO - Epoch [50][600/1281] lr: 1.887e-02, eta: 14:38:23, time: 0.487, data_time: 0.001, memory: 4130, top1_acc: 0.8450, top5_acc: 0.9931, loss_cls: 2.2271, loss: 2.2271 +2023-12-24 16:59:18,372 - pyskl - INFO - Epoch [50][700/1281] lr: 1.885e-02, eta: 14:37:53, time: 0.464, data_time: 0.001, memory: 4130, top1_acc: 0.8700, top5_acc: 0.9944, loss_cls: 2.1554, loss: 2.1554 +2023-12-24 17:00:03,633 - pyskl - INFO - Epoch [50][800/1281] lr: 1.884e-02, eta: 14:37:21, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.8794, top5_acc: 0.9931, loss_cls: 2.1613, loss: 2.1613 +2023-12-24 17:00:50,242 - pyskl - INFO - Epoch [50][900/1281] lr: 1.882e-02, eta: 14:36:51, time: 0.466, data_time: 0.001, memory: 4130, top1_acc: 0.8819, top5_acc: 0.9956, loss_cls: 2.1300, loss: 2.1300 +2023-12-24 17:01:27,714 - pyskl - INFO - Epoch [50][1000/1281] lr: 1.880e-02, eta: 14:36:03, time: 0.375, data_time: 0.000, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9956, loss_cls: 2.1481, loss: 2.1481 +2023-12-24 17:02:00,155 - pyskl - INFO - Epoch [50][1100/1281] lr: 1.878e-02, eta: 14:35:05, time: 0.324, data_time: 0.001, memory: 4130, top1_acc: 0.8644, top5_acc: 0.9956, loss_cls: 2.1845, loss: 2.1845 +2023-12-24 17:02:47,135 - pyskl - INFO - Epoch [50][1200/1281] lr: 1.876e-02, eta: 14:34:37, time: 0.470, data_time: 0.001, memory: 4130, top1_acc: 0.8531, top5_acc: 0.9912, loss_cls: 2.2161, loss: 2.2161 +2023-12-24 17:03:11,315 - pyskl - INFO - Saving checkpoint at 50 epochs +2023-12-24 17:04:41,996 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:04:42,058 - pyskl - INFO - +top1_acc 0.8343 +top5_acc 0.9912 +2023-12-24 17:04:42,058 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:04:42,067 - pyskl - INFO - +mean_acc 0.7624 +2023-12-24 17:04:42,070 - pyskl - INFO - Epoch(val) [50][533] top1_acc: 0.8343, top5_acc: 0.9912, mean_class_accuracy: 0.7624 +2023-12-24 17:05:51,732 - pyskl - INFO - Epoch [51][100/1281] lr: 1.873e-02, eta: 14:33:14, time: 0.697, data_time: 0.251, memory: 4130, top1_acc: 0.8719, top5_acc: 0.9944, loss_cls: 2.1695, loss: 2.1695 +2023-12-24 17:06:36,638 - pyskl - INFO - Epoch [51][200/1281] lr: 1.871e-02, eta: 14:32:41, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.8938, top5_acc: 0.9962, loss_cls: 2.1001, loss: 2.1001 +2023-12-24 17:07:23,541 - pyskl - INFO - Epoch [51][300/1281] lr: 1.870e-02, eta: 14:32:11, time: 0.469, data_time: 0.001, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9975, loss_cls: 2.1290, loss: 2.1290 +2023-12-24 17:08:10,224 - pyskl - INFO - Epoch [51][400/1281] lr: 1.868e-02, eta: 14:31:42, time: 0.467, data_time: 0.001, memory: 4130, top1_acc: 0.8706, top5_acc: 0.9950, loss_cls: 2.1406, loss: 2.1406 +2023-12-24 17:08:55,300 - pyskl - INFO - Epoch [51][500/1281] lr: 1.866e-02, eta: 14:31:09, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8938, top5_acc: 0.9938, loss_cls: 2.0964, loss: 2.0964 +2023-12-24 17:09:38,750 - pyskl - INFO - Epoch [51][600/1281] lr: 1.864e-02, eta: 14:30:33, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8638, top5_acc: 0.9944, loss_cls: 2.1805, loss: 2.1805 +2023-12-24 17:10:23,176 - pyskl - INFO - Epoch [51][700/1281] lr: 1.863e-02, eta: 14:29:59, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8812, top5_acc: 0.9969, loss_cls: 2.1450, loss: 2.1450 +2023-12-24 17:11:07,933 - pyskl - INFO - Epoch [51][800/1281] lr: 1.861e-02, eta: 14:29:25, time: 0.448, data_time: 0.001, memory: 4130, top1_acc: 0.8662, top5_acc: 0.9912, loss_cls: 2.2106, loss: 2.2106 +2023-12-24 17:11:52,964 - pyskl - INFO - Epoch [51][900/1281] lr: 1.859e-02, eta: 14:28:52, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.8688, top5_acc: 0.9950, loss_cls: 2.1610, loss: 2.1610 +2023-12-24 17:12:30,012 - pyskl - INFO - Epoch [51][1000/1281] lr: 1.857e-02, eta: 14:28:04, time: 0.370, data_time: 0.001, memory: 4130, top1_acc: 0.8744, top5_acc: 0.9925, loss_cls: 2.1782, loss: 2.1782 +2023-12-24 17:13:01,824 - pyskl - INFO - Epoch [51][1100/1281] lr: 1.855e-02, eta: 14:27:05, time: 0.318, data_time: 0.001, memory: 4130, top1_acc: 0.8681, top5_acc: 0.9938, loss_cls: 2.1992, loss: 2.1992 +2023-12-24 17:13:43,893 - pyskl - INFO - Epoch [51][1200/1281] lr: 1.854e-02, eta: 14:26:26, time: 0.421, data_time: 0.001, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9944, loss_cls: 2.1554, loss: 2.1554 +2023-12-24 17:14:02,607 - pyskl - INFO - Saving checkpoint at 51 epochs +2023-12-24 17:15:18,861 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:15:18,923 - pyskl - INFO - +top1_acc 0.7863 +top5_acc 0.9810 +2023-12-24 17:15:18,923 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:15:18,931 - pyskl - INFO - +mean_acc 0.7166 +2023-12-24 17:15:18,933 - pyskl - INFO - Epoch(val) [51][533] top1_acc: 0.7863, top5_acc: 0.9810, mean_class_accuracy: 0.7166 +2023-12-24 17:16:26,976 - pyskl - INFO - Epoch [52][100/1281] lr: 1.850e-02, eta: 14:25:00, time: 0.680, data_time: 0.219, memory: 4130, top1_acc: 0.8669, top5_acc: 0.9938, loss_cls: 2.1717, loss: 2.1717 +2023-12-24 17:17:14,447 - pyskl - INFO - Epoch [52][200/1281] lr: 1.849e-02, eta: 14:24:32, time: 0.475, data_time: 0.001, memory: 4130, top1_acc: 0.8831, top5_acc: 0.9956, loss_cls: 2.1309, loss: 2.1309 +2023-12-24 17:17:58,973 - pyskl - INFO - Epoch [52][300/1281] lr: 1.847e-02, eta: 14:23:57, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8662, top5_acc: 0.9962, loss_cls: 2.1869, loss: 2.1869 +2023-12-24 17:18:44,264 - pyskl - INFO - Epoch [52][400/1281] lr: 1.845e-02, eta: 14:23:25, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.8938, top5_acc: 0.9956, loss_cls: 2.1111, loss: 2.1111 +2023-12-24 17:19:30,227 - pyskl - INFO - Epoch [52][500/1281] lr: 1.843e-02, eta: 14:22:53, time: 0.460, data_time: 0.001, memory: 4130, top1_acc: 0.8662, top5_acc: 0.9931, loss_cls: 2.1639, loss: 2.1639 +2023-12-24 17:20:15,225 - pyskl - INFO - Epoch [52][600/1281] lr: 1.841e-02, eta: 14:22:20, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.8769, top5_acc: 0.9969, loss_cls: 2.1408, loss: 2.1408 +2023-12-24 17:21:01,614 - pyskl - INFO - Epoch [52][700/1281] lr: 1.840e-02, eta: 14:21:49, time: 0.464, data_time: 0.001, memory: 4130, top1_acc: 0.8919, top5_acc: 0.9938, loss_cls: 2.1308, loss: 2.1308 +2023-12-24 17:21:48,201 - pyskl - INFO - Epoch [52][800/1281] lr: 1.838e-02, eta: 14:21:19, time: 0.466, data_time: 0.001, memory: 4130, top1_acc: 0.8688, top5_acc: 0.9938, loss_cls: 2.1609, loss: 2.1609 +2023-12-24 17:22:35,151 - pyskl - INFO - Epoch [52][900/1281] lr: 1.836e-02, eta: 14:20:49, time: 0.469, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9962, loss_cls: 2.1851, loss: 2.1851 +2023-12-24 17:23:15,003 - pyskl - INFO - Epoch [52][1000/1281] lr: 1.834e-02, eta: 14:20:06, time: 0.398, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9938, loss_cls: 2.1769, loss: 2.1769 +2023-12-24 17:23:45,592 - pyskl - INFO - Epoch [52][1100/1281] lr: 1.832e-02, eta: 14:19:05, time: 0.306, data_time: 0.001, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9975, loss_cls: 2.1305, loss: 2.1305 +2023-12-24 17:24:29,550 - pyskl - INFO - Epoch [52][1200/1281] lr: 1.831e-02, eta: 14:18:30, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9956, loss_cls: 2.1702, loss: 2.1702 +2023-12-24 17:24:48,423 - pyskl - INFO - Saving checkpoint at 52 epochs +2023-12-24 17:26:07,592 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:26:07,651 - pyskl - INFO - +top1_acc 0.8285 +top5_acc 0.9898 +2023-12-24 17:26:07,655 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:26:07,670 - pyskl - INFO - +mean_acc 0.7536 +2023-12-24 17:26:07,692 - pyskl - INFO - Epoch(val) [52][533] top1_acc: 0.8285, top5_acc: 0.9898, mean_class_accuracy: 0.7536 +2023-12-24 17:27:18,454 - pyskl - INFO - Epoch [53][100/1281] lr: 1.827e-02, eta: 14:17:09, time: 0.708, data_time: 0.241, memory: 4130, top1_acc: 0.8844, top5_acc: 0.9938, loss_cls: 2.1331, loss: 2.1331 +2023-12-24 17:28:05,571 - pyskl - INFO - Epoch [53][200/1281] lr: 1.826e-02, eta: 14:16:40, time: 0.471, data_time: 0.001, memory: 4130, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 2.0812, loss: 2.0812 +2023-12-24 17:28:51,224 - pyskl - INFO - Epoch [53][300/1281] lr: 1.824e-02, eta: 14:16:07, time: 0.457, data_time: 0.001, memory: 4130, top1_acc: 0.8825, top5_acc: 0.9938, loss_cls: 2.1232, loss: 2.1232 +2023-12-24 17:29:34,872 - pyskl - INFO - Epoch [53][400/1281] lr: 1.822e-02, eta: 14:15:31, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.8800, top5_acc: 0.9962, loss_cls: 2.1450, loss: 2.1450 +2023-12-24 17:30:19,947 - pyskl - INFO - Epoch [53][500/1281] lr: 1.820e-02, eta: 14:14:58, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8894, top5_acc: 0.9962, loss_cls: 2.1107, loss: 2.1107 +2023-12-24 17:31:07,422 - pyskl - INFO - Epoch [53][600/1281] lr: 1.818e-02, eta: 14:14:29, time: 0.475, data_time: 0.001, memory: 4130, top1_acc: 0.8731, top5_acc: 0.9944, loss_cls: 2.1686, loss: 2.1686 +2023-12-24 17:31:53,452 - pyskl - INFO - Epoch [53][700/1281] lr: 1.816e-02, eta: 14:13:57, time: 0.460, data_time: 0.001, memory: 4130, top1_acc: 0.8644, top5_acc: 0.9931, loss_cls: 2.1762, loss: 2.1762 +2023-12-24 17:32:39,764 - pyskl - INFO - Epoch [53][800/1281] lr: 1.815e-02, eta: 14:13:26, time: 0.463, data_time: 0.001, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9981, loss_cls: 2.1654, loss: 2.1654 +2023-12-24 17:33:26,198 - pyskl - INFO - Epoch [53][900/1281] lr: 1.813e-02, eta: 14:12:54, time: 0.464, data_time: 0.001, memory: 4130, top1_acc: 0.8819, top5_acc: 0.9962, loss_cls: 2.1503, loss: 2.1503 +2023-12-24 17:34:03,729 - pyskl - INFO - Epoch [53][1000/1281] lr: 1.811e-02, eta: 14:12:07, time: 0.375, data_time: 0.001, memory: 4130, top1_acc: 0.8688, top5_acc: 0.9938, loss_cls: 2.1726, loss: 2.1726 +2023-12-24 17:34:35,888 - pyskl - INFO - Epoch [53][1100/1281] lr: 1.809e-02, eta: 14:11:09, time: 0.322, data_time: 0.001, memory: 4130, top1_acc: 0.8650, top5_acc: 0.9956, loss_cls: 2.1686, loss: 2.1686 +2023-12-24 17:35:18,040 - pyskl - INFO - Epoch [53][1200/1281] lr: 1.807e-02, eta: 14:10:30, time: 0.422, data_time: 0.001, memory: 4130, top1_acc: 0.8738, top5_acc: 0.9962, loss_cls: 2.1673, loss: 2.1673 +2023-12-24 17:35:40,270 - pyskl - INFO - Saving checkpoint at 53 epochs +2023-12-24 17:37:03,577 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:37:03,671 - pyskl - INFO - +top1_acc 0.8413 +top5_acc 0.9900 +2023-12-24 17:37:03,671 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:37:03,683 - pyskl - INFO - +mean_acc 0.7865 +2023-12-24 17:37:03,687 - pyskl - INFO - Epoch(val) [53][533] top1_acc: 0.8413, top5_acc: 0.9900, mean_class_accuracy: 0.7865 +2023-12-24 17:38:12,483 - pyskl - INFO - Epoch [54][100/1281] lr: 1.804e-02, eta: 14:09:06, time: 0.688, data_time: 0.235, memory: 4130, top1_acc: 0.8744, top5_acc: 0.9962, loss_cls: 2.1419, loss: 2.1419 +2023-12-24 17:38:55,383 - pyskl - INFO - Epoch [54][200/1281] lr: 1.802e-02, eta: 14:08:29, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9962, loss_cls: 2.1341, loss: 2.1341 +2023-12-24 17:39:38,859 - pyskl - INFO - Epoch [54][300/1281] lr: 1.800e-02, eta: 14:07:52, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9000, top5_acc: 0.9975, loss_cls: 2.0808, loss: 2.0808 +2023-12-24 17:40:25,401 - pyskl - INFO - Epoch [54][400/1281] lr: 1.798e-02, eta: 14:07:21, time: 0.465, data_time: 0.001, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9956, loss_cls: 2.1239, loss: 2.1239 +2023-12-24 17:41:10,313 - pyskl - INFO - Epoch [54][500/1281] lr: 1.797e-02, eta: 14:06:47, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9950, loss_cls: 2.1176, loss: 2.1176 +2023-12-24 17:41:55,563 - pyskl - INFO - Epoch [54][600/1281] lr: 1.795e-02, eta: 14:06:13, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.8875, top5_acc: 0.9956, loss_cls: 2.1169, loss: 2.1169 +2023-12-24 17:42:42,055 - pyskl - INFO - Epoch [54][700/1281] lr: 1.793e-02, eta: 14:05:42, time: 0.465, data_time: 0.001, memory: 4130, top1_acc: 0.8825, top5_acc: 0.9938, loss_cls: 2.1516, loss: 2.1516 +2023-12-24 17:43:26,706 - pyskl - INFO - Epoch [54][800/1281] lr: 1.791e-02, eta: 14:05:07, time: 0.447, data_time: 0.001, memory: 4130, top1_acc: 0.8662, top5_acc: 0.9938, loss_cls: 2.1902, loss: 2.1902 +2023-12-24 17:44:11,079 - pyskl - INFO - Epoch [54][900/1281] lr: 1.789e-02, eta: 14:04:32, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8756, top5_acc: 0.9956, loss_cls: 2.1517, loss: 2.1517 +2023-12-24 17:44:50,364 - pyskl - INFO - Epoch [54][1000/1281] lr: 1.787e-02, eta: 14:03:48, time: 0.393, data_time: 0.001, memory: 4130, top1_acc: 0.8806, top5_acc: 0.9956, loss_cls: 2.1450, loss: 2.1450 +2023-12-24 17:45:23,996 - pyskl - INFO - Epoch [54][1100/1281] lr: 1.786e-02, eta: 14:02:54, time: 0.336, data_time: 0.002, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9931, loss_cls: 2.1928, loss: 2.1928 +2023-12-24 17:46:08,267 - pyskl - INFO - Epoch [54][1200/1281] lr: 1.784e-02, eta: 14:02:18, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8756, top5_acc: 0.9956, loss_cls: 2.1648, loss: 2.1648 +2023-12-24 17:46:29,485 - pyskl - INFO - Saving checkpoint at 54 epochs +2023-12-24 17:47:54,135 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:47:54,201 - pyskl - INFO - +top1_acc 0.8223 +top5_acc 0.9889 +2023-12-24 17:47:54,202 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:47:54,216 - pyskl - INFO - +mean_acc 0.7589 +2023-12-24 17:47:54,221 - pyskl - INFO - Epoch(val) [54][533] top1_acc: 0.8223, top5_acc: 0.9889, mean_class_accuracy: 0.7589 +2023-12-24 17:48:57,290 - pyskl - INFO - Epoch [55][100/1281] lr: 1.780e-02, eta: 14:00:44, time: 0.631, data_time: 0.193, memory: 4130, top1_acc: 0.8900, top5_acc: 0.9962, loss_cls: 2.1029, loss: 2.1029 +2023-12-24 17:49:45,523 - pyskl - INFO - Epoch [55][200/1281] lr: 1.779e-02, eta: 14:00:16, time: 0.482, data_time: 0.001, memory: 4130, top1_acc: 0.8906, top5_acc: 0.9956, loss_cls: 2.1295, loss: 2.1295 +2023-12-24 17:50:33,277 - pyskl - INFO - Epoch [55][300/1281] lr: 1.777e-02, eta: 13:59:46, time: 0.477, data_time: 0.001, memory: 4130, top1_acc: 0.8975, top5_acc: 0.9931, loss_cls: 2.0975, loss: 2.0975 +2023-12-24 17:51:19,808 - pyskl - INFO - Epoch [55][400/1281] lr: 1.775e-02, eta: 13:59:15, time: 0.465, data_time: 0.001, memory: 4130, top1_acc: 0.8881, top5_acc: 0.9988, loss_cls: 2.1238, loss: 2.1238 +2023-12-24 17:52:07,713 - pyskl - INFO - Epoch [55][500/1281] lr: 1.773e-02, eta: 13:58:46, time: 0.479, data_time: 0.001, memory: 4130, top1_acc: 0.8631, top5_acc: 0.9950, loss_cls: 2.1951, loss: 2.1951 +2023-12-24 17:52:55,128 - pyskl - INFO - Epoch [55][600/1281] lr: 1.771e-02, eta: 13:58:16, time: 0.474, data_time: 0.001, memory: 4130, top1_acc: 0.8556, top5_acc: 0.9950, loss_cls: 2.1872, loss: 2.1872 +2023-12-24 17:53:41,164 - pyskl - INFO - Epoch [55][700/1281] lr: 1.769e-02, eta: 13:57:43, time: 0.460, data_time: 0.001, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9981, loss_cls: 2.0874, loss: 2.0874 +2023-12-24 17:54:25,194 - pyskl - INFO - Epoch [55][800/1281] lr: 1.767e-02, eta: 13:57:07, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.9075, top5_acc: 0.9962, loss_cls: 2.0703, loss: 2.0703 +2023-12-24 17:55:13,037 - pyskl - INFO - Epoch [55][900/1281] lr: 1.766e-02, eta: 13:56:38, time: 0.478, data_time: 0.001, memory: 4130, top1_acc: 0.8838, top5_acc: 0.9950, loss_cls: 2.1368, loss: 2.1368 +2023-12-24 17:55:53,285 - pyskl - INFO - Epoch [55][1000/1281] lr: 1.764e-02, eta: 13:55:55, time: 0.402, data_time: 0.001, memory: 4130, top1_acc: 0.8856, top5_acc: 0.9956, loss_cls: 2.1283, loss: 2.1283 +2023-12-24 17:56:23,915 - pyskl - INFO - Epoch [55][1100/1281] lr: 1.762e-02, eta: 13:54:56, time: 0.306, data_time: 0.001, memory: 4130, top1_acc: 0.8594, top5_acc: 0.9938, loss_cls: 2.1923, loss: 2.1923 +2023-12-24 17:57:09,993 - pyskl - INFO - Epoch [55][1200/1281] lr: 1.760e-02, eta: 13:54:23, time: 0.461, data_time: 0.001, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9962, loss_cls: 2.1463, loss: 2.1463 +2023-12-24 17:57:31,496 - pyskl - INFO - Saving checkpoint at 55 epochs +2023-12-24 17:58:57,217 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 17:58:57,280 - pyskl - INFO - +top1_acc 0.8325 +top5_acc 0.9886 +2023-12-24 17:58:57,280 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 17:58:57,290 - pyskl - INFO - +mean_acc 0.7780 +2023-12-24 17:58:57,292 - pyskl - INFO - Epoch(val) [55][533] top1_acc: 0.8325, top5_acc: 0.9886, mean_class_accuracy: 0.7780 +2023-12-24 17:59:59,111 - pyskl - INFO - Epoch [56][100/1281] lr: 1.757e-02, eta: 13:52:47, time: 0.618, data_time: 0.182, memory: 4130, top1_acc: 0.8894, top5_acc: 0.9969, loss_cls: 2.1080, loss: 2.1080 +2023-12-24 18:00:46,948 - pyskl - INFO - Epoch [56][200/1281] lr: 1.755e-02, eta: 13:52:18, time: 0.478, data_time: 0.001, memory: 4130, top1_acc: 0.9113, top5_acc: 1.0000, loss_cls: 2.0593, loss: 2.0593 +2023-12-24 18:01:34,065 - pyskl - INFO - Epoch [56][300/1281] lr: 1.753e-02, eta: 13:51:47, time: 0.471, data_time: 0.001, memory: 4130, top1_acc: 0.8938, top5_acc: 0.9956, loss_cls: 2.1065, loss: 2.1065 +2023-12-24 18:02:21,695 - pyskl - INFO - Epoch [56][400/1281] lr: 1.751e-02, eta: 13:51:17, time: 0.476, data_time: 0.001, memory: 4130, top1_acc: 0.8881, top5_acc: 0.9944, loss_cls: 2.1213, loss: 2.1213 +2023-12-24 18:03:08,599 - pyskl - INFO - Epoch [56][500/1281] lr: 1.749e-02, eta: 13:50:46, time: 0.469, data_time: 0.001, memory: 4130, top1_acc: 0.8806, top5_acc: 0.9975, loss_cls: 2.1162, loss: 2.1162 +2023-12-24 18:03:52,273 - pyskl - INFO - Epoch [56][600/1281] lr: 1.747e-02, eta: 13:50:09, time: 0.437, data_time: 0.001, memory: 4130, top1_acc: 0.8731, top5_acc: 0.9944, loss_cls: 2.1544, loss: 2.1544 +2023-12-24 18:04:35,928 - pyskl - INFO - Epoch [56][700/1281] lr: 1.745e-02, eta: 13:49:32, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.8750, top5_acc: 0.9956, loss_cls: 2.1454, loss: 2.1454 +2023-12-24 18:05:22,955 - pyskl - INFO - Epoch [56][800/1281] lr: 1.743e-02, eta: 13:49:01, time: 0.470, data_time: 0.001, memory: 4130, top1_acc: 0.8719, top5_acc: 0.9938, loss_cls: 2.1706, loss: 2.1706 +2023-12-24 18:06:09,847 - pyskl - INFO - Epoch [56][900/1281] lr: 1.742e-02, eta: 13:48:30, time: 0.469, data_time: 0.001, memory: 4130, top1_acc: 0.8962, top5_acc: 0.9956, loss_cls: 2.1219, loss: 2.1219 +2023-12-24 18:06:51,468 - pyskl - INFO - Epoch [56][1000/1281] lr: 1.740e-02, eta: 13:47:49, time: 0.416, data_time: 0.001, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9919, loss_cls: 2.1566, loss: 2.1566 +2023-12-24 18:07:21,869 - pyskl - INFO - Epoch [56][1100/1281] lr: 1.738e-02, eta: 13:46:50, time: 0.304, data_time: 0.001, memory: 4130, top1_acc: 0.8831, top5_acc: 0.9950, loss_cls: 2.1406, loss: 2.1406 +2023-12-24 18:08:06,430 - pyskl - INFO - Epoch [56][1200/1281] lr: 1.736e-02, eta: 13:46:15, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8738, top5_acc: 0.9969, loss_cls: 2.1726, loss: 2.1726 +2023-12-24 18:08:24,958 - pyskl - INFO - Saving checkpoint at 56 epochs +2023-12-24 18:09:45,200 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 18:09:45,290 - pyskl - INFO - +top1_acc 0.8194 +top5_acc 0.9852 +2023-12-24 18:09:45,291 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 18:09:45,307 - pyskl - INFO - +mean_acc 0.7665 +2023-12-24 18:09:45,312 - pyskl - INFO - Epoch(val) [56][533] top1_acc: 0.8194, top5_acc: 0.9852, mean_class_accuracy: 0.7665 +2023-12-24 18:11:00,851 - pyskl - INFO - Epoch [57][100/1281] lr: 1.733e-02, eta: 13:45:02, time: 0.755, data_time: 0.283, memory: 4130, top1_acc: 0.8850, top5_acc: 0.9975, loss_cls: 2.1438, loss: 2.1438 +2023-12-24 18:11:47,978 - pyskl - INFO - Epoch [57][200/1281] lr: 1.731e-02, eta: 13:44:31, time: 0.471, data_time: 0.001, memory: 4130, top1_acc: 0.8912, top5_acc: 0.9962, loss_cls: 2.1171, loss: 2.1171 +2023-12-24 18:12:35,777 - pyskl - INFO - Epoch [57][300/1281] lr: 1.729e-02, eta: 13:44:01, time: 0.478, data_time: 0.001, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9981, loss_cls: 2.0695, loss: 2.0695 +2023-12-24 18:13:21,042 - pyskl - INFO - Epoch [57][400/1281] lr: 1.727e-02, eta: 13:43:26, time: 0.453, data_time: 0.001, memory: 4130, top1_acc: 0.8931, top5_acc: 0.9962, loss_cls: 2.1058, loss: 2.1058 +2023-12-24 18:14:04,909 - pyskl - INFO - Epoch [57][500/1281] lr: 1.725e-02, eta: 13:42:50, time: 0.439, data_time: 0.000, memory: 4130, top1_acc: 0.8806, top5_acc: 0.9950, loss_cls: 2.1413, loss: 2.1413 +2023-12-24 18:14:47,952 - pyskl - INFO - Epoch [57][600/1281] lr: 1.723e-02, eta: 13:42:12, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.8769, top5_acc: 0.9944, loss_cls: 2.1545, loss: 2.1545 +2023-12-24 18:15:33,189 - pyskl - INFO - Epoch [57][700/1281] lr: 1.721e-02, eta: 13:41:37, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8850, top5_acc: 0.9956, loss_cls: 2.1383, loss: 2.1383 +2023-12-24 18:16:19,095 - pyskl - INFO - Epoch [57][800/1281] lr: 1.719e-02, eta: 13:41:04, time: 0.459, data_time: 0.001, memory: 4130, top1_acc: 0.8812, top5_acc: 0.9981, loss_cls: 2.1302, loss: 2.1302 +2023-12-24 18:17:04,035 - pyskl - INFO - Epoch [57][900/1281] lr: 1.717e-02, eta: 13:40:29, time: 0.449, data_time: 0.001, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9956, loss_cls: 2.1324, loss: 2.1324 +2023-12-24 18:17:39,510 - pyskl - INFO - Epoch [57][1000/1281] lr: 1.716e-02, eta: 13:39:38, time: 0.355, data_time: 0.001, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9969, loss_cls: 2.1262, loss: 2.1262 +2023-12-24 18:18:12,849 - pyskl - INFO - Epoch [57][1100/1281] lr: 1.714e-02, eta: 13:38:44, time: 0.333, data_time: 0.001, memory: 4130, top1_acc: 0.8812, top5_acc: 0.9969, loss_cls: 2.1314, loss: 2.1314 +2023-12-24 18:18:52,800 - pyskl - INFO - Epoch [57][1200/1281] lr: 1.712e-02, eta: 13:38:01, time: 0.399, data_time: 0.001, memory: 4130, top1_acc: 0.8869, top5_acc: 0.9975, loss_cls: 2.1208, loss: 2.1208 +2023-12-24 18:19:12,404 - pyskl - INFO - Saving checkpoint at 57 epochs +2023-12-24 18:20:33,085 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 18:20:33,161 - pyskl - INFO - +top1_acc 0.8539 +top5_acc 0.9892 +2023-12-24 18:20:33,162 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 18:20:33,179 - pyskl - INFO - +mean_acc 0.7914 +2023-12-24 18:20:33,192 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_49.pth was removed +2023-12-24 18:20:33,472 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_57.pth. +2023-12-24 18:20:33,473 - pyskl - INFO - Best top1_acc is 0.8539 at 57 epoch. +2023-12-24 18:20:33,481 - pyskl - INFO - Epoch(val) [57][533] top1_acc: 0.8539, top5_acc: 0.9892, mean_class_accuracy: 0.7914 +2023-12-24 18:21:43,783 - pyskl - INFO - Epoch [58][100/1281] lr: 1.708e-02, eta: 13:36:39, time: 0.703, data_time: 0.253, memory: 4130, top1_acc: 0.9069, top5_acc: 0.9981, loss_cls: 2.0587, loss: 2.0587 +2023-12-24 18:22:26,747 - pyskl - INFO - Epoch [58][200/1281] lr: 1.706e-02, eta: 13:36:01, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.8912, top5_acc: 0.9975, loss_cls: 2.0984, loss: 2.0984 +2023-12-24 18:23:09,681 - pyskl - INFO - Epoch [58][300/1281] lr: 1.704e-02, eta: 13:35:23, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9956, loss_cls: 2.1425, loss: 2.1425 +2023-12-24 18:23:53,794 - pyskl - INFO - Epoch [58][400/1281] lr: 1.703e-02, eta: 13:34:47, time: 0.441, data_time: 0.001, memory: 4130, top1_acc: 0.8950, top5_acc: 0.9975, loss_cls: 2.1050, loss: 2.1050 +2023-12-24 18:24:40,030 - pyskl - INFO - Epoch [58][500/1281] lr: 1.701e-02, eta: 13:34:13, time: 0.462, data_time: 0.001, memory: 4130, top1_acc: 0.8725, top5_acc: 0.9944, loss_cls: 2.1584, loss: 2.1584 +2023-12-24 18:25:25,974 - pyskl - INFO - Epoch [58][600/1281] lr: 1.699e-02, eta: 13:33:40, time: 0.459, data_time: 0.001, memory: 4130, top1_acc: 0.8825, top5_acc: 0.9962, loss_cls: 2.1603, loss: 2.1603 +2023-12-24 18:26:10,489 - pyskl - INFO - Epoch [58][700/1281] lr: 1.697e-02, eta: 13:33:04, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8919, top5_acc: 0.9950, loss_cls: 2.1346, loss: 2.1346 +2023-12-24 18:26:54,987 - pyskl - INFO - Epoch [58][800/1281] lr: 1.695e-02, eta: 13:32:28, time: 0.445, data_time: 0.000, memory: 4130, top1_acc: 0.8806, top5_acc: 0.9944, loss_cls: 2.1450, loss: 2.1450 +2023-12-24 18:27:39,476 - pyskl - INFO - Epoch [58][900/1281] lr: 1.693e-02, eta: 13:31:52, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8894, top5_acc: 0.9981, loss_cls: 2.0934, loss: 2.0934 +2023-12-24 18:28:12,240 - pyskl - INFO - Epoch [58][1000/1281] lr: 1.691e-02, eta: 13:30:58, time: 0.328, data_time: 0.001, memory: 4130, top1_acc: 0.8694, top5_acc: 0.9950, loss_cls: 2.1673, loss: 2.1673 +2023-12-24 18:28:49,947 - pyskl - INFO - Epoch [58][1100/1281] lr: 1.689e-02, eta: 13:30:11, time: 0.377, data_time: 0.001, memory: 4130, top1_acc: 0.8744, top5_acc: 0.9975, loss_cls: 2.1506, loss: 2.1506 +2023-12-24 18:29:27,996 - pyskl - INFO - Epoch [58][1200/1281] lr: 1.687e-02, eta: 13:29:25, time: 0.380, data_time: 0.001, memory: 4130, top1_acc: 0.8869, top5_acc: 0.9938, loss_cls: 2.1348, loss: 2.1348 +2023-12-24 18:29:50,980 - pyskl - INFO - Saving checkpoint at 58 epochs +2023-12-24 18:31:12,355 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 18:31:12,424 - pyskl - INFO - +top1_acc 0.8366 +top5_acc 0.9881 +2023-12-24 18:31:12,424 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 18:31:12,433 - pyskl - INFO - +mean_acc 0.7886 +2023-12-24 18:31:12,435 - pyskl - INFO - Epoch(val) [58][533] top1_acc: 0.8366, top5_acc: 0.9881, mean_class_accuracy: 0.7886 +2023-12-24 18:32:15,495 - pyskl - INFO - Epoch [59][100/1281] lr: 1.684e-02, eta: 13:27:52, time: 0.631, data_time: 0.198, memory: 4130, top1_acc: 0.8769, top5_acc: 0.9969, loss_cls: 2.1434, loss: 2.1434 +2023-12-24 18:32:58,575 - pyskl - INFO - Epoch [59][200/1281] lr: 1.682e-02, eta: 13:27:14, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9988, loss_cls: 2.1035, loss: 2.1035 +2023-12-24 18:33:42,001 - pyskl - INFO - Epoch [59][300/1281] lr: 1.680e-02, eta: 13:26:36, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9981, loss_cls: 2.0922, loss: 2.0922 +2023-12-24 18:34:25,161 - pyskl - INFO - Epoch [59][400/1281] lr: 1.678e-02, eta: 13:25:58, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8800, top5_acc: 0.9969, loss_cls: 2.1333, loss: 2.1333 +2023-12-24 18:35:07,965 - pyskl - INFO - Epoch [59][500/1281] lr: 1.676e-02, eta: 13:25:20, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.8894, top5_acc: 0.9950, loss_cls: 2.1019, loss: 2.1019 +2023-12-24 18:35:52,222 - pyskl - INFO - Epoch [59][600/1281] lr: 1.674e-02, eta: 13:24:43, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.8731, top5_acc: 0.9994, loss_cls: 2.1612, loss: 2.1612 +2023-12-24 18:36:36,254 - pyskl - INFO - Epoch [59][700/1281] lr: 1.672e-02, eta: 13:24:07, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8831, top5_acc: 0.9950, loss_cls: 2.1331, loss: 2.1331 +2023-12-24 18:37:19,541 - pyskl - INFO - Epoch [59][800/1281] lr: 1.670e-02, eta: 13:23:29, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.8781, top5_acc: 0.9962, loss_cls: 2.1337, loss: 2.1337 +2023-12-24 18:38:03,047 - pyskl - INFO - Epoch [59][900/1281] lr: 1.668e-02, eta: 13:22:51, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8788, top5_acc: 0.9950, loss_cls: 2.1450, loss: 2.1450 +2023-12-24 18:38:35,629 - pyskl - INFO - Epoch [59][1000/1281] lr: 1.667e-02, eta: 13:21:57, time: 0.326, data_time: 0.001, memory: 4130, top1_acc: 0.8931, top5_acc: 0.9969, loss_cls: 2.1091, loss: 2.1091 +2023-12-24 18:39:10,495 - pyskl - INFO - Epoch [59][1100/1281] lr: 1.665e-02, eta: 13:21:06, time: 0.349, data_time: 0.001, memory: 4130, top1_acc: 0.8838, top5_acc: 0.9969, loss_cls: 2.1284, loss: 2.1284 +2023-12-24 18:39:48,701 - pyskl - INFO - Epoch [59][1200/1281] lr: 1.663e-02, eta: 13:20:20, time: 0.382, data_time: 0.001, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9956, loss_cls: 2.1047, loss: 2.1047 +2023-12-24 18:40:08,914 - pyskl - INFO - Saving checkpoint at 59 epochs +2023-12-24 18:41:27,407 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 18:41:27,479 - pyskl - INFO - +top1_acc 0.8308 +top5_acc 0.9906 +2023-12-24 18:41:27,479 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 18:41:27,488 - pyskl - INFO - +mean_acc 0.7640 +2023-12-24 18:41:27,491 - pyskl - INFO - Epoch(val) [59][533] top1_acc: 0.8308, top5_acc: 0.9906, mean_class_accuracy: 0.7640 +2023-12-24 18:42:36,033 - pyskl - INFO - Epoch [60][100/1281] lr: 1.659e-02, eta: 13:18:56, time: 0.685, data_time: 0.233, memory: 4130, top1_acc: 0.8856, top5_acc: 0.9938, loss_cls: 2.1363, loss: 2.1363 +2023-12-24 18:43:19,869 - pyskl - INFO - Epoch [60][200/1281] lr: 1.657e-02, eta: 13:18:19, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.9081, top5_acc: 0.9956, loss_cls: 2.0657, loss: 2.0657 +2023-12-24 18:44:02,808 - pyskl - INFO - Epoch [60][300/1281] lr: 1.655e-02, eta: 13:17:41, time: 0.429, data_time: 0.001, memory: 4130, top1_acc: 0.8969, top5_acc: 0.9988, loss_cls: 2.0957, loss: 2.0957 +2023-12-24 18:44:46,045 - pyskl - INFO - Epoch [60][400/1281] lr: 1.653e-02, eta: 13:17:03, time: 0.432, data_time: 0.001, memory: 4130, top1_acc: 0.8869, top5_acc: 0.9975, loss_cls: 2.1138, loss: 2.1138 +2023-12-24 18:45:29,396 - pyskl - INFO - Epoch [60][500/1281] lr: 1.651e-02, eta: 13:16:25, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8944, top5_acc: 0.9944, loss_cls: 2.1144, loss: 2.1144 +2023-12-24 18:46:14,527 - pyskl - INFO - Epoch [60][600/1281] lr: 1.650e-02, eta: 13:15:50, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8756, top5_acc: 0.9956, loss_cls: 2.1489, loss: 2.1489 +2023-12-24 18:46:58,913 - pyskl - INFO - Epoch [60][700/1281] lr: 1.648e-02, eta: 13:15:13, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.8794, top5_acc: 0.9931, loss_cls: 2.1451, loss: 2.1451 +2023-12-24 18:47:42,337 - pyskl - INFO - Epoch [60][800/1281] lr: 1.646e-02, eta: 13:14:36, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.8769, top5_acc: 0.9950, loss_cls: 2.1439, loss: 2.1439 +2023-12-24 18:48:27,584 - pyskl - INFO - Epoch [60][900/1281] lr: 1.644e-02, eta: 13:14:01, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9962, loss_cls: 2.1537, loss: 2.1537 +2023-12-24 18:49:01,966 - pyskl - INFO - Epoch [60][1000/1281] lr: 1.642e-02, eta: 13:13:09, time: 0.344, data_time: 0.001, memory: 4130, top1_acc: 0.8956, top5_acc: 0.9969, loss_cls: 2.0915, loss: 2.0915 +2023-12-24 18:49:37,082 - pyskl - INFO - Epoch [60][1100/1281] lr: 1.640e-02, eta: 13:12:19, time: 0.351, data_time: 0.000, memory: 4130, top1_acc: 0.8762, top5_acc: 0.9981, loss_cls: 2.1323, loss: 2.1323 +2023-12-24 18:50:15,406 - pyskl - INFO - Epoch [60][1200/1281] lr: 1.638e-02, eta: 13:11:33, time: 0.383, data_time: 0.001, memory: 4130, top1_acc: 0.8738, top5_acc: 0.9925, loss_cls: 2.1723, loss: 2.1723 +2023-12-24 18:50:35,992 - pyskl - INFO - Saving checkpoint at 60 epochs +2023-12-24 18:51:53,296 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 18:51:53,377 - pyskl - INFO - +top1_acc 0.8217 +top5_acc 0.9863 +2023-12-24 18:51:53,377 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 18:51:53,388 - pyskl - INFO - +mean_acc 0.7679 +2023-12-24 18:51:53,392 - pyskl - INFO - Epoch(val) [60][533] top1_acc: 0.8217, top5_acc: 0.9863, mean_class_accuracy: 0.7679 +2023-12-24 18:52:59,204 - pyskl - INFO - Epoch [61][100/1281] lr: 1.634e-02, eta: 13:10:06, time: 0.658, data_time: 0.228, memory: 4130, top1_acc: 0.8975, top5_acc: 0.9956, loss_cls: 2.0919, loss: 2.0919 +2023-12-24 18:53:42,342 - pyskl - INFO - Epoch [61][200/1281] lr: 1.632e-02, eta: 13:09:28, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9975, loss_cls: 2.0566, loss: 2.0566 +2023-12-24 18:54:25,820 - pyskl - INFO - Epoch [61][300/1281] lr: 1.630e-02, eta: 13:08:50, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.8925, top5_acc: 0.9988, loss_cls: 2.1009, loss: 2.1009 +2023-12-24 18:55:09,270 - pyskl - INFO - Epoch [61][400/1281] lr: 1.629e-02, eta: 13:08:12, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9969, loss_cls: 2.0962, loss: 2.0962 +2023-12-24 18:55:53,097 - pyskl - INFO - Epoch [61][500/1281] lr: 1.627e-02, eta: 13:07:35, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 0.8906, top5_acc: 0.9981, loss_cls: 2.1233, loss: 2.1233 +2023-12-24 18:56:36,499 - pyskl - INFO - Epoch [61][600/1281] lr: 1.625e-02, eta: 13:06:57, time: 0.434, data_time: 0.001, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 2.0941, loss: 2.0941 +2023-12-24 18:57:19,441 - pyskl - INFO - Epoch [61][700/1281] lr: 1.623e-02, eta: 13:06:18, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.8931, top5_acc: 0.9962, loss_cls: 2.1177, loss: 2.1177 +2023-12-24 18:58:02,744 - pyskl - INFO - Epoch [61][800/1281] lr: 1.621e-02, eta: 13:05:40, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8825, top5_acc: 0.9988, loss_cls: 2.1120, loss: 2.1120 +2023-12-24 18:58:46,017 - pyskl - INFO - Epoch [61][900/1281] lr: 1.619e-02, eta: 13:05:02, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8706, top5_acc: 0.9962, loss_cls: 2.1753, loss: 2.1753 +2023-12-24 18:59:19,494 - pyskl - INFO - Epoch [61][1000/1281] lr: 1.617e-02, eta: 13:04:10, time: 0.335, data_time: 0.001, memory: 4130, top1_acc: 0.8956, top5_acc: 0.9969, loss_cls: 2.1045, loss: 2.1045 +2023-12-24 18:59:53,731 - pyskl - INFO - Epoch [61][1100/1281] lr: 1.615e-02, eta: 13:03:19, time: 0.342, data_time: 0.001, memory: 4130, top1_acc: 0.8869, top5_acc: 0.9938, loss_cls: 2.1400, loss: 2.1400 +2023-12-24 19:00:32,660 - pyskl - INFO - Epoch [61][1200/1281] lr: 1.613e-02, eta: 13:02:34, time: 0.389, data_time: 0.001, memory: 4130, top1_acc: 0.8919, top5_acc: 0.9969, loss_cls: 2.1218, loss: 2.1218 +2023-12-24 19:00:52,945 - pyskl - INFO - Saving checkpoint at 61 epochs +2023-12-24 19:02:10,786 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:02:10,862 - pyskl - INFO - +top1_acc 0.8334 +top5_acc 0.9898 +2023-12-24 19:02:10,862 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:02:10,878 - pyskl - INFO - +mean_acc 0.7653 +2023-12-24 19:02:10,885 - pyskl - INFO - Epoch(val) [61][533] top1_acc: 0.8334, top5_acc: 0.9898, mean_class_accuracy: 0.7653 +2023-12-24 19:03:17,728 - pyskl - INFO - Epoch [62][100/1281] lr: 1.609e-02, eta: 13:01:09, time: 0.668, data_time: 0.226, memory: 4130, top1_acc: 0.8969, top5_acc: 0.9962, loss_cls: 2.0922, loss: 2.0922 +2023-12-24 19:04:00,557 - pyskl - INFO - Epoch [62][200/1281] lr: 1.607e-02, eta: 13:00:30, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9069, top5_acc: 0.9975, loss_cls: 2.0511, loss: 2.0511 +2023-12-24 19:04:43,801 - pyskl - INFO - Epoch [62][300/1281] lr: 1.605e-02, eta: 12:59:52, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8944, top5_acc: 0.9969, loss_cls: 2.0993, loss: 2.0993 +2023-12-24 19:05:27,365 - pyskl - INFO - Epoch [62][400/1281] lr: 1.603e-02, eta: 12:59:14, time: 0.436, data_time: 0.001, memory: 4130, top1_acc: 0.8944, top5_acc: 0.9988, loss_cls: 2.1017, loss: 2.1017 +2023-12-24 19:06:12,378 - pyskl - INFO - Epoch [62][500/1281] lr: 1.602e-02, eta: 12:58:38, time: 0.450, data_time: 0.001, memory: 4130, top1_acc: 0.9006, top5_acc: 0.9981, loss_cls: 2.1059, loss: 2.1059 +2023-12-24 19:06:57,499 - pyskl - INFO - Epoch [62][600/1281] lr: 1.600e-02, eta: 12:58:03, time: 0.451, data_time: 0.001, memory: 4130, top1_acc: 0.8838, top5_acc: 0.9975, loss_cls: 2.1289, loss: 2.1289 +2023-12-24 19:07:41,331 - pyskl - INFO - Epoch [62][700/1281] lr: 1.598e-02, eta: 12:57:26, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8756, top5_acc: 0.9894, loss_cls: 2.1616, loss: 2.1616 +2023-12-24 19:08:24,506 - pyskl - INFO - Epoch [62][800/1281] lr: 1.596e-02, eta: 12:56:47, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.8794, top5_acc: 0.9950, loss_cls: 2.1644, loss: 2.1644 +2023-12-24 19:09:08,322 - pyskl - INFO - Epoch [62][900/1281] lr: 1.594e-02, eta: 12:56:10, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8806, top5_acc: 0.9962, loss_cls: 2.1126, loss: 2.1126 +2023-12-24 19:09:42,488 - pyskl - INFO - Epoch [62][1000/1281] lr: 1.592e-02, eta: 12:55:19, time: 0.342, data_time: 0.001, memory: 4130, top1_acc: 0.8925, top5_acc: 0.9975, loss_cls: 2.1262, loss: 2.1262 +2023-12-24 19:10:17,148 - pyskl - INFO - Epoch [62][1100/1281] lr: 1.590e-02, eta: 12:54:28, time: 0.347, data_time: 0.001, memory: 4130, top1_acc: 0.8775, top5_acc: 0.9962, loss_cls: 2.1246, loss: 2.1246 +2023-12-24 19:10:56,521 - pyskl - INFO - Epoch [62][1200/1281] lr: 1.588e-02, eta: 12:53:45, time: 0.394, data_time: 0.001, memory: 4130, top1_acc: 0.8925, top5_acc: 0.9969, loss_cls: 2.1106, loss: 2.1106 +2023-12-24 19:11:15,225 - pyskl - INFO - Saving checkpoint at 62 epochs +2023-12-24 19:12:31,308 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:12:31,372 - pyskl - INFO - +top1_acc 0.8162 +top5_acc 0.9898 +2023-12-24 19:12:31,372 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:12:31,379 - pyskl - INFO - +mean_acc 0.7521 +2023-12-24 19:12:31,382 - pyskl - INFO - Epoch(val) [62][533] top1_acc: 0.8162, top5_acc: 0.9898, mean_class_accuracy: 0.7521 +2023-12-24 19:13:37,081 - pyskl - INFO - Epoch [63][100/1281] lr: 1.584e-02, eta: 12:52:18, time: 0.657, data_time: 0.228, memory: 4130, top1_acc: 0.9100, top5_acc: 0.9969, loss_cls: 2.0835, loss: 2.0835 +2023-12-24 19:14:20,334 - pyskl - INFO - Epoch [63][200/1281] lr: 1.582e-02, eta: 12:51:40, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.8981, top5_acc: 0.9988, loss_cls: 2.0684, loss: 2.0684 +2023-12-24 19:15:04,905 - pyskl - INFO - Epoch [63][300/1281] lr: 1.580e-02, eta: 12:51:03, time: 0.446, data_time: 0.001, memory: 4130, top1_acc: 0.8838, top5_acc: 0.9969, loss_cls: 2.1365, loss: 2.1365 +2023-12-24 19:15:48,693 - pyskl - INFO - Epoch [63][400/1281] lr: 1.578e-02, eta: 12:50:26, time: 0.438, data_time: 0.001, memory: 4130, top1_acc: 0.8981, top5_acc: 0.9956, loss_cls: 2.0935, loss: 2.0935 +2023-12-24 19:16:33,037 - pyskl - INFO - Epoch [63][500/1281] lr: 1.576e-02, eta: 12:49:49, time: 0.443, data_time: 0.001, memory: 4130, top1_acc: 0.9081, top5_acc: 0.9981, loss_cls: 2.0694, loss: 2.0694 +2023-12-24 19:17:16,045 - pyskl - INFO - Epoch [63][600/1281] lr: 1.574e-02, eta: 12:49:11, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8894, top5_acc: 0.9938, loss_cls: 2.1266, loss: 2.1266 +2023-12-24 19:17:59,008 - pyskl - INFO - Epoch [63][700/1281] lr: 1.572e-02, eta: 12:48:32, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9950, loss_cls: 2.0953, loss: 2.0953 +2023-12-24 19:18:44,176 - pyskl - INFO - Epoch [63][800/1281] lr: 1.570e-02, eta: 12:47:56, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8938, top5_acc: 0.9969, loss_cls: 2.1143, loss: 2.1143 +2023-12-24 19:19:28,191 - pyskl - INFO - Epoch [63][900/1281] lr: 1.568e-02, eta: 12:47:19, time: 0.440, data_time: 0.001, memory: 4130, top1_acc: 0.8844, top5_acc: 0.9975, loss_cls: 2.1207, loss: 2.1207 +2023-12-24 19:20:03,302 - pyskl - INFO - Epoch [63][1000/1281] lr: 1.566e-02, eta: 12:46:30, time: 0.351, data_time: 0.001, memory: 4130, top1_acc: 0.8894, top5_acc: 0.9950, loss_cls: 2.1144, loss: 2.1144 +2023-12-24 19:20:36,295 - pyskl - INFO - Epoch [63][1100/1281] lr: 1.564e-02, eta: 12:45:37, time: 0.330, data_time: 0.000, memory: 4130, top1_acc: 0.8856, top5_acc: 0.9956, loss_cls: 2.1151, loss: 2.1151 +2023-12-24 19:21:16,500 - pyskl - INFO - Epoch [63][1200/1281] lr: 1.562e-02, eta: 12:44:55, time: 0.402, data_time: 0.000, memory: 4130, top1_acc: 0.8950, top5_acc: 0.9956, loss_cls: 2.1098, loss: 2.1098 +2023-12-24 19:21:36,279 - pyskl - INFO - Saving checkpoint at 63 epochs +2023-12-24 19:22:53,727 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:22:53,795 - pyskl - INFO - +top1_acc 0.8519 +top5_acc 0.9923 +2023-12-24 19:22:53,795 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:22:53,806 - pyskl - INFO - +mean_acc 0.7928 +2023-12-24 19:22:53,810 - pyskl - INFO - Epoch(val) [63][533] top1_acc: 0.8519, top5_acc: 0.9923, mean_class_accuracy: 0.7928 +2023-12-24 19:24:00,501 - pyskl - INFO - Epoch [64][100/1281] lr: 1.559e-02, eta: 12:43:29, time: 0.667, data_time: 0.226, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9975, loss_cls: 2.0504, loss: 2.0504 +2023-12-24 19:24:43,349 - pyskl - INFO - Epoch [64][200/1281] lr: 1.557e-02, eta: 12:42:51, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9025, top5_acc: 0.9962, loss_cls: 2.0880, loss: 2.0880 +2023-12-24 19:25:26,652 - pyskl - INFO - Epoch [64][300/1281] lr: 1.555e-02, eta: 12:42:12, time: 0.433, data_time: 0.001, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9994, loss_cls: 2.0488, loss: 2.0488 +2023-12-24 19:26:11,016 - pyskl - INFO - Epoch [64][400/1281] lr: 1.553e-02, eta: 12:41:36, time: 0.444, data_time: 0.001, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9988, loss_cls: 2.0744, loss: 2.0744 +2023-12-24 19:26:54,158 - pyskl - INFO - Epoch [64][500/1281] lr: 1.551e-02, eta: 12:40:57, time: 0.431, data_time: 0.001, memory: 4130, top1_acc: 0.9119, top5_acc: 0.9981, loss_cls: 2.0701, loss: 2.0701 +2023-12-24 19:27:38,085 - pyskl - INFO - Epoch [64][600/1281] lr: 1.549e-02, eta: 12:40:20, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8969, top5_acc: 0.9981, loss_cls: 2.0876, loss: 2.0876 +2023-12-24 19:28:21,971 - pyskl - INFO - Epoch [64][700/1281] lr: 1.547e-02, eta: 12:39:42, time: 0.439, data_time: 0.001, memory: 4130, top1_acc: 0.8825, top5_acc: 0.9944, loss_cls: 2.1532, loss: 2.1532 +2023-12-24 19:29:06,484 - pyskl - INFO - Epoch [64][800/1281] lr: 1.545e-02, eta: 12:39:06, time: 0.445, data_time: 0.001, memory: 4130, top1_acc: 0.8988, top5_acc: 0.9975, loss_cls: 2.0877, loss: 2.0877 +2023-12-24 19:29:51,684 - pyskl - INFO - Epoch [64][900/1281] lr: 1.543e-02, eta: 12:38:30, time: 0.452, data_time: 0.001, memory: 4130, top1_acc: 0.8938, top5_acc: 0.9962, loss_cls: 2.0932, loss: 2.0932 +2023-12-24 19:30:29,086 - pyskl - INFO - Epoch [64][1000/1281] lr: 1.541e-02, eta: 12:37:44, time: 0.374, data_time: 0.001, memory: 4130, top1_acc: 0.8931, top5_acc: 0.9988, loss_cls: 2.1136, loss: 2.1136 +2023-12-24 19:31:00,328 - pyskl - INFO - Epoch [64][1100/1281] lr: 1.539e-02, eta: 12:36:49, time: 0.312, data_time: 0.000, memory: 4130, top1_acc: 0.8806, top5_acc: 0.9969, loss_cls: 2.1271, loss: 2.1271 +2023-12-24 19:31:42,758 - pyskl - INFO - Epoch [64][1200/1281] lr: 1.537e-02, eta: 12:36:10, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.8856, top5_acc: 0.9962, loss_cls: 2.1305, loss: 2.1305 +2023-12-24 19:32:00,751 - pyskl - INFO - Saving checkpoint at 64 epochs +2023-12-24 19:33:16,636 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:33:16,695 - pyskl - INFO - +top1_acc 0.8416 +top5_acc 0.9901 +2023-12-24 19:33:16,695 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:33:16,703 - pyskl - INFO - +mean_acc 0.7802 +2023-12-24 19:33:16,706 - pyskl - INFO - Epoch(val) [64][533] top1_acc: 0.8416, top5_acc: 0.9901, mean_class_accuracy: 0.7802 +2023-12-24 19:34:18,539 - pyskl - INFO - Epoch [65][100/1281] lr: 1.533e-02, eta: 12:34:38, time: 0.618, data_time: 0.191, memory: 4130, top1_acc: 0.9025, top5_acc: 0.9975, loss_cls: 2.0829, loss: 2.0829 +2023-12-24 19:35:01,443 - pyskl - INFO - Epoch [65][200/1281] lr: 1.531e-02, eta: 12:34:00, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 2.0690, loss: 2.0690 +2023-12-24 19:35:44,318 - pyskl - INFO - Epoch [65][300/1281] lr: 1.529e-02, eta: 12:33:21, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9219, top5_acc: 0.9981, loss_cls: 2.0328, loss: 2.0328 +2023-12-24 19:36:27,331 - pyskl - INFO - Epoch [65][400/1281] lr: 1.527e-02, eta: 12:32:42, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.8888, top5_acc: 0.9975, loss_cls: 2.1001, loss: 2.1001 +2023-12-24 19:37:10,251 - pyskl - INFO - Epoch [65][500/1281] lr: 1.526e-02, eta: 12:32:03, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.8844, top5_acc: 0.9975, loss_cls: 2.1305, loss: 2.1305 +2023-12-24 19:37:52,977 - pyskl - INFO - Epoch [65][600/1281] lr: 1.524e-02, eta: 12:31:24, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9150, top5_acc: 0.9994, loss_cls: 2.0751, loss: 2.0751 +2023-12-24 19:38:35,763 - pyskl - INFO - Epoch [65][700/1281] lr: 1.522e-02, eta: 12:30:45, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.8900, top5_acc: 0.9975, loss_cls: 2.0911, loss: 2.0911 +2023-12-24 19:39:18,753 - pyskl - INFO - Epoch [65][800/1281] lr: 1.520e-02, eta: 12:30:07, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.8919, top5_acc: 0.9931, loss_cls: 2.1128, loss: 2.1128 +2023-12-24 19:40:01,777 - pyskl - INFO - Epoch [65][900/1281] lr: 1.518e-02, eta: 12:29:28, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.8981, top5_acc: 0.9969, loss_cls: 2.0776, loss: 2.0776 +2023-12-24 19:40:39,665 - pyskl - INFO - Epoch [65][1000/1281] lr: 1.516e-02, eta: 12:28:42, time: 0.379, data_time: 0.000, memory: 4130, top1_acc: 0.8894, top5_acc: 0.9981, loss_cls: 2.1169, loss: 2.1169 +2023-12-24 19:41:09,957 - pyskl - INFO - Epoch [65][1100/1281] lr: 1.514e-02, eta: 12:27:47, time: 0.303, data_time: 0.000, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9988, loss_cls: 2.0933, loss: 2.0933 +2023-12-24 19:41:51,595 - pyskl - INFO - Epoch [65][1200/1281] lr: 1.512e-02, eta: 12:27:07, time: 0.416, data_time: 0.000, memory: 4130, top1_acc: 0.8931, top5_acc: 1.0000, loss_cls: 2.0928, loss: 2.0928 +2023-12-24 19:42:10,443 - pyskl - INFO - Saving checkpoint at 65 epochs +2023-12-24 19:43:25,131 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:43:25,204 - pyskl - INFO - +top1_acc 0.8601 +top5_acc 0.9896 +2023-12-24 19:43:25,204 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:43:25,214 - pyskl - INFO - +mean_acc 0.7905 +2023-12-24 19:43:25,219 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_57.pth was removed +2023-12-24 19:43:25,429 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. +2023-12-24 19:43:25,429 - pyskl - INFO - Best top1_acc is 0.8601 at 65 epoch. +2023-12-24 19:43:25,432 - pyskl - INFO - Epoch(val) [65][533] top1_acc: 0.8601, top5_acc: 0.9896, mean_class_accuracy: 0.7905 +2023-12-24 19:44:27,936 - pyskl - INFO - Epoch [66][100/1281] lr: 1.508e-02, eta: 12:25:36, time: 0.625, data_time: 0.195, memory: 4130, top1_acc: 0.9031, top5_acc: 0.9981, loss_cls: 2.0864, loss: 2.0864 +2023-12-24 19:45:10,612 - pyskl - INFO - Epoch [66][200/1281] lr: 1.506e-02, eta: 12:24:57, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.8900, top5_acc: 0.9956, loss_cls: 2.1217, loss: 2.1217 +2023-12-24 19:45:53,501 - pyskl - INFO - Epoch [66][300/1281] lr: 1.504e-02, eta: 12:24:19, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9075, top5_acc: 0.9981, loss_cls: 2.0640, loss: 2.0640 +2023-12-24 19:46:36,387 - pyskl - INFO - Epoch [66][400/1281] lr: 1.502e-02, eta: 12:23:40, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9094, top5_acc: 0.9975, loss_cls: 2.0528, loss: 2.0528 +2023-12-24 19:47:19,637 - pyskl - INFO - Epoch [66][500/1281] lr: 1.500e-02, eta: 12:23:01, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9950, loss_cls: 2.0809, loss: 2.0809 +2023-12-24 19:48:03,487 - pyskl - INFO - Epoch [66][600/1281] lr: 1.498e-02, eta: 12:22:24, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 0.9081, top5_acc: 0.9969, loss_cls: 2.0821, loss: 2.0821 +2023-12-24 19:48:47,065 - pyskl - INFO - Epoch [66][700/1281] lr: 1.496e-02, eta: 12:21:46, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9000, top5_acc: 0.9981, loss_cls: 2.0983, loss: 2.0983 +2023-12-24 19:49:30,984 - pyskl - INFO - Epoch [66][800/1281] lr: 1.494e-02, eta: 12:21:08, time: 0.439, data_time: 0.000, memory: 4130, top1_acc: 0.9012, top5_acc: 0.9962, loss_cls: 2.0850, loss: 2.0850 +2023-12-24 19:50:14,981 - pyskl - INFO - Epoch [66][900/1281] lr: 1.492e-02, eta: 12:20:31, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.9006, top5_acc: 0.9962, loss_cls: 2.1025, loss: 2.1025 +2023-12-24 19:50:52,501 - pyskl - INFO - Epoch [66][1000/1281] lr: 1.490e-02, eta: 12:19:45, time: 0.375, data_time: 0.000, memory: 4130, top1_acc: 0.8919, top5_acc: 0.9988, loss_cls: 2.1146, loss: 2.1146 +2023-12-24 19:51:24,575 - pyskl - INFO - Epoch [66][1100/1281] lr: 1.488e-02, eta: 12:18:52, time: 0.321, data_time: 0.001, memory: 4130, top1_acc: 0.8912, top5_acc: 0.9969, loss_cls: 2.0974, loss: 2.0974 +2023-12-24 19:52:04,803 - pyskl - INFO - Epoch [66][1200/1281] lr: 1.486e-02, eta: 12:18:10, time: 0.402, data_time: 0.000, memory: 4130, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 2.0300, loss: 2.0300 +2023-12-24 19:52:24,786 - pyskl - INFO - Saving checkpoint at 66 epochs +2023-12-24 19:53:39,762 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 19:53:39,819 - pyskl - INFO - +top1_acc 0.8498 +top5_acc 0.9865 +2023-12-24 19:53:39,819 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 19:53:39,828 - pyskl - INFO - +mean_acc 0.7949 +2023-12-24 19:53:39,831 - pyskl - INFO - Epoch(val) [66][533] top1_acc: 0.8498, top5_acc: 0.9865, mean_class_accuracy: 0.7949 +2023-12-24 19:54:43,174 - pyskl - INFO - Epoch [67][100/1281] lr: 1.482e-02, eta: 12:16:41, time: 0.633, data_time: 0.195, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9975, loss_cls: 2.0994, loss: 2.0994 +2023-12-24 19:55:26,799 - pyskl - INFO - Epoch [67][200/1281] lr: 1.480e-02, eta: 12:16:03, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 2.0384, loss: 2.0384 +2023-12-24 19:56:10,515 - pyskl - INFO - Epoch [67][300/1281] lr: 1.478e-02, eta: 12:15:26, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.9025, top5_acc: 0.9962, loss_cls: 2.0676, loss: 2.0676 +2023-12-24 19:56:54,496 - pyskl - INFO - Epoch [67][400/1281] lr: 1.476e-02, eta: 12:14:48, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9994, loss_cls: 2.0811, loss: 2.0811 +2023-12-24 19:57:38,045 - pyskl - INFO - Epoch [67][500/1281] lr: 1.474e-02, eta: 12:14:10, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9194, top5_acc: 0.9981, loss_cls: 2.0601, loss: 2.0601 +2023-12-24 19:58:20,997 - pyskl - INFO - Epoch [67][600/1281] lr: 1.472e-02, eta: 12:13:31, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.8975, top5_acc: 0.9975, loss_cls: 2.0868, loss: 2.0868 +2023-12-24 19:59:03,807 - pyskl - INFO - Epoch [67][700/1281] lr: 1.470e-02, eta: 12:12:52, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9038, top5_acc: 0.9975, loss_cls: 2.0618, loss: 2.0618 +2023-12-24 19:59:46,576 - pyskl - INFO - Epoch [67][800/1281] lr: 1.468e-02, eta: 12:12:13, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.8875, top5_acc: 0.9981, loss_cls: 2.1063, loss: 2.1063 +2023-12-24 20:00:29,374 - pyskl - INFO - Epoch [67][900/1281] lr: 1.466e-02, eta: 12:11:34, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9962, loss_cls: 2.1116, loss: 2.1116 +2023-12-24 20:01:04,315 - pyskl - INFO - Epoch [67][1000/1281] lr: 1.464e-02, eta: 12:10:45, time: 0.349, data_time: 0.000, memory: 4130, top1_acc: 0.9181, top5_acc: 0.9981, loss_cls: 2.0738, loss: 2.0738 +2023-12-24 20:01:37,832 - pyskl - INFO - Epoch [67][1100/1281] lr: 1.462e-02, eta: 12:09:54, time: 0.335, data_time: 0.000, memory: 4130, top1_acc: 0.8906, top5_acc: 0.9944, loss_cls: 2.1352, loss: 2.1352 +2023-12-24 20:02:16,323 - pyskl - INFO - Epoch [67][1200/1281] lr: 1.460e-02, eta: 12:09:10, time: 0.385, data_time: 0.000, memory: 4130, top1_acc: 0.8962, top5_acc: 0.9969, loss_cls: 2.1023, loss: 2.1023 +2023-12-24 20:02:37,666 - pyskl - INFO - Saving checkpoint at 67 epochs +2023-12-24 20:03:52,312 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:03:52,370 - pyskl - INFO - +top1_acc 0.8419 +top5_acc 0.9897 +2023-12-24 20:03:52,370 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:03:52,378 - pyskl - INFO - +mean_acc 0.7779 +2023-12-24 20:03:52,381 - pyskl - INFO - Epoch(val) [67][533] top1_acc: 0.8419, top5_acc: 0.9897, mean_class_accuracy: 0.7779 +2023-12-24 20:04:53,868 - pyskl - INFO - Epoch [68][100/1281] lr: 1.456e-02, eta: 12:07:40, time: 0.615, data_time: 0.185, memory: 4130, top1_acc: 0.8925, top5_acc: 0.9988, loss_cls: 2.0927, loss: 2.0927 +2023-12-24 20:05:37,466 - pyskl - INFO - Epoch [68][200/1281] lr: 1.454e-02, eta: 12:07:02, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.8962, top5_acc: 0.9969, loss_cls: 2.1077, loss: 2.1077 +2023-12-24 20:06:21,284 - pyskl - INFO - Epoch [68][300/1281] lr: 1.452e-02, eta: 12:06:24, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 0.9031, top5_acc: 0.9975, loss_cls: 2.0908, loss: 2.0908 +2023-12-24 20:07:04,659 - pyskl - INFO - Epoch [68][400/1281] lr: 1.450e-02, eta: 12:05:46, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9981, loss_cls: 2.0747, loss: 2.0747 +2023-12-24 20:07:47,559 - pyskl - INFO - Epoch [68][500/1281] lr: 1.448e-02, eta: 12:05:07, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9125, top5_acc: 0.9994, loss_cls: 2.0624, loss: 2.0624 +2023-12-24 20:08:31,456 - pyskl - INFO - Epoch [68][600/1281] lr: 1.446e-02, eta: 12:04:29, time: 0.439, data_time: 0.000, memory: 4130, top1_acc: 0.8925, top5_acc: 0.9969, loss_cls: 2.0992, loss: 2.0992 +2023-12-24 20:09:14,991 - pyskl - INFO - Epoch [68][700/1281] lr: 1.444e-02, eta: 12:03:51, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.8938, top5_acc: 0.9975, loss_cls: 2.1038, loss: 2.1038 +2023-12-24 20:09:58,944 - pyskl - INFO - Epoch [68][800/1281] lr: 1.442e-02, eta: 12:03:13, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 2.0237, loss: 2.0237 +2023-12-24 20:10:42,820 - pyskl - INFO - Epoch [68][900/1281] lr: 1.440e-02, eta: 12:02:35, time: 0.439, data_time: 0.000, memory: 4130, top1_acc: 0.8862, top5_acc: 0.9956, loss_cls: 2.0975, loss: 2.0975 +2023-12-24 20:11:19,057 - pyskl - INFO - Epoch [68][1000/1281] lr: 1.438e-02, eta: 12:01:48, time: 0.362, data_time: 0.000, memory: 4130, top1_acc: 0.8962, top5_acc: 0.9944, loss_cls: 2.0922, loss: 2.0922 +2023-12-24 20:11:51,166 - pyskl - INFO - Epoch [68][1100/1281] lr: 1.436e-02, eta: 12:00:56, time: 0.321, data_time: 0.000, memory: 4130, top1_acc: 0.9094, top5_acc: 0.9994, loss_cls: 2.0463, loss: 2.0463 +2023-12-24 20:12:31,087 - pyskl - INFO - Epoch [68][1200/1281] lr: 1.434e-02, eta: 12:00:14, time: 0.399, data_time: 0.000, memory: 4130, top1_acc: 0.8994, top5_acc: 0.9956, loss_cls: 2.0880, loss: 2.0880 +2023-12-24 20:12:50,338 - pyskl - INFO - Saving checkpoint at 68 epochs +2023-12-24 20:14:05,158 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:14:05,219 - pyskl - INFO - +top1_acc 0.8569 +top5_acc 0.9912 +2023-12-24 20:14:05,219 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:14:05,228 - pyskl - INFO - +mean_acc 0.8142 +2023-12-24 20:14:05,232 - pyskl - INFO - Epoch(val) [68][533] top1_acc: 0.8569, top5_acc: 0.9912, mean_class_accuracy: 0.8142 +2023-12-24 20:15:07,717 - pyskl - INFO - Epoch [69][100/1281] lr: 1.431e-02, eta: 11:58:45, time: 0.625, data_time: 0.191, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9962, loss_cls: 2.0825, loss: 2.0825 +2023-12-24 20:15:51,211 - pyskl - INFO - Epoch [69][200/1281] lr: 1.429e-02, eta: 11:58:07, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9094, top5_acc: 0.9981, loss_cls: 2.0673, loss: 2.0673 +2023-12-24 20:16:34,257 - pyskl - INFO - Epoch [69][300/1281] lr: 1.427e-02, eta: 11:57:28, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 2.0735, loss: 2.0735 +2023-12-24 20:17:17,192 - pyskl - INFO - Epoch [69][400/1281] lr: 1.425e-02, eta: 11:56:49, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9281, top5_acc: 0.9962, loss_cls: 2.0095, loss: 2.0095 +2023-12-24 20:18:00,110 - pyskl - INFO - Epoch [69][500/1281] lr: 1.423e-02, eta: 11:56:10, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9969, loss_cls: 2.0514, loss: 2.0514 +2023-12-24 20:18:42,877 - pyskl - INFO - Epoch [69][600/1281] lr: 1.420e-02, eta: 11:55:31, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.8981, top5_acc: 0.9969, loss_cls: 2.0986, loss: 2.0986 +2023-12-24 20:19:25,508 - pyskl - INFO - Epoch [69][700/1281] lr: 1.418e-02, eta: 11:54:52, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.8988, top5_acc: 0.9988, loss_cls: 2.0870, loss: 2.0870 +2023-12-24 20:20:08,399 - pyskl - INFO - Epoch [69][800/1281] lr: 1.416e-02, eta: 11:54:13, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9969, loss_cls: 2.0803, loss: 2.0803 +2023-12-24 20:20:51,161 - pyskl - INFO - Epoch [69][900/1281] lr: 1.414e-02, eta: 11:53:34, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.8938, top5_acc: 0.9944, loss_cls: 2.0914, loss: 2.0914 +2023-12-24 20:21:27,581 - pyskl - INFO - Epoch [69][1000/1281] lr: 1.412e-02, eta: 11:52:47, time: 0.364, data_time: 0.000, memory: 4130, top1_acc: 0.9019, top5_acc: 0.9962, loss_cls: 2.1044, loss: 2.1044 +2023-12-24 20:21:59,718 - pyskl - INFO - Epoch [69][1100/1281] lr: 1.410e-02, eta: 11:51:55, time: 0.321, data_time: 0.000, memory: 4130, top1_acc: 0.9119, top5_acc: 0.9988, loss_cls: 2.0726, loss: 2.0726 +2023-12-24 20:22:39,623 - pyskl - INFO - Epoch [69][1200/1281] lr: 1.408e-02, eta: 11:51:13, time: 0.399, data_time: 0.000, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9969, loss_cls: 2.0804, loss: 2.0804 +2023-12-24 20:23:00,393 - pyskl - INFO - Saving checkpoint at 69 epochs +2023-12-24 20:24:15,328 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:24:15,387 - pyskl - INFO - +top1_acc 0.8294 +top5_acc 0.9844 +2023-12-24 20:24:15,387 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:24:15,395 - pyskl - INFO - +mean_acc 0.7686 +2023-12-24 20:24:15,398 - pyskl - INFO - Epoch(val) [69][533] top1_acc: 0.8294, top5_acc: 0.9844, mean_class_accuracy: 0.7686 +2023-12-24 20:25:17,375 - pyskl - INFO - Epoch [70][100/1281] lr: 1.405e-02, eta: 11:49:44, time: 0.620, data_time: 0.192, memory: 4130, top1_acc: 0.9069, top5_acc: 0.9981, loss_cls: 2.0581, loss: 2.0581 +2023-12-24 20:26:00,368 - pyskl - INFO - Epoch [70][200/1281] lr: 1.403e-02, eta: 11:49:05, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.9206, top5_acc: 0.9962, loss_cls: 2.0492, loss: 2.0492 +2023-12-24 20:26:44,014 - pyskl - INFO - Epoch [70][300/1281] lr: 1.401e-02, eta: 11:48:27, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 2.0281, loss: 2.0281 +2023-12-24 20:27:27,864 - pyskl - INFO - Epoch [70][400/1281] lr: 1.399e-02, eta: 11:47:49, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9975, loss_cls: 2.0648, loss: 2.0648 +2023-12-24 20:28:10,466 - pyskl - INFO - Epoch [70][500/1281] lr: 1.397e-02, eta: 11:47:10, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.8950, top5_acc: 0.9962, loss_cls: 2.1135, loss: 2.1135 +2023-12-24 20:28:53,287 - pyskl - INFO - Epoch [70][600/1281] lr: 1.395e-02, eta: 11:46:31, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9106, top5_acc: 0.9975, loss_cls: 2.0877, loss: 2.0877 +2023-12-24 20:29:35,964 - pyskl - INFO - Epoch [70][700/1281] lr: 1.392e-02, eta: 11:45:51, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.8938, top5_acc: 0.9969, loss_cls: 2.1131, loss: 2.1131 +2023-12-24 20:30:18,752 - pyskl - INFO - Epoch [70][800/1281] lr: 1.390e-02, eta: 11:45:12, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9969, loss_cls: 2.0984, loss: 2.0984 +2023-12-24 20:31:01,636 - pyskl - INFO - Epoch [70][900/1281] lr: 1.388e-02, eta: 11:44:33, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9106, top5_acc: 0.9981, loss_cls: 2.0607, loss: 2.0607 +2023-12-24 20:31:36,894 - pyskl - INFO - Epoch [70][1000/1281] lr: 1.386e-02, eta: 11:43:45, time: 0.353, data_time: 0.000, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9975, loss_cls: 2.0825, loss: 2.0825 +2023-12-24 20:32:09,901 - pyskl - INFO - Epoch [70][1100/1281] lr: 1.384e-02, eta: 11:42:55, time: 0.330, data_time: 0.000, memory: 4130, top1_acc: 0.9144, top5_acc: 0.9988, loss_cls: 2.0482, loss: 2.0482 +2023-12-24 20:32:48,980 - pyskl - INFO - Epoch [70][1200/1281] lr: 1.382e-02, eta: 11:42:12, time: 0.391, data_time: 0.000, memory: 4130, top1_acc: 0.9012, top5_acc: 0.9975, loss_cls: 2.0823, loss: 2.0823 +2023-12-24 20:33:09,848 - pyskl - INFO - Saving checkpoint at 70 epochs +2023-12-24 20:34:24,709 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:34:24,767 - pyskl - INFO - +top1_acc 0.8431 +top5_acc 0.9859 +2023-12-24 20:34:24,767 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:34:24,776 - pyskl - INFO - +mean_acc 0.7924 +2023-12-24 20:34:24,779 - pyskl - INFO - Epoch(val) [70][533] top1_acc: 0.8431, top5_acc: 0.9859, mean_class_accuracy: 0.7924 +2023-12-24 20:35:26,249 - pyskl - INFO - Epoch [71][100/1281] lr: 1.379e-02, eta: 11:40:43, time: 0.615, data_time: 0.183, memory: 4130, top1_acc: 0.9056, top5_acc: 0.9969, loss_cls: 2.0766, loss: 2.0766 +2023-12-24 20:36:08,766 - pyskl - INFO - Epoch [71][200/1281] lr: 1.377e-02, eta: 11:40:03, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.8888, top5_acc: 0.9975, loss_cls: 2.1164, loss: 2.1164 +2023-12-24 20:36:51,807 - pyskl - INFO - Epoch [71][300/1281] lr: 1.375e-02, eta: 11:39:24, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.9094, top5_acc: 0.9969, loss_cls: 2.0449, loss: 2.0449 +2023-12-24 20:37:34,793 - pyskl - INFO - Epoch [71][400/1281] lr: 1.373e-02, eta: 11:38:45, time: 0.430, data_time: 0.001, memory: 4130, top1_acc: 0.9131, top5_acc: 0.9969, loss_cls: 2.0605, loss: 2.0605 +2023-12-24 20:38:17,740 - pyskl - INFO - Epoch [71][500/1281] lr: 1.371e-02, eta: 11:38:06, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9981, loss_cls: 2.0739, loss: 2.0739 +2023-12-24 20:39:00,585 - pyskl - INFO - Epoch [71][600/1281] lr: 1.368e-02, eta: 11:37:27, time: 0.428, data_time: 0.001, memory: 4130, top1_acc: 0.9025, top5_acc: 0.9962, loss_cls: 2.0973, loss: 2.0973 +2023-12-24 20:39:43,275 - pyskl - INFO - Epoch [71][700/1281] lr: 1.366e-02, eta: 11:36:48, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.8856, top5_acc: 0.9969, loss_cls: 2.1409, loss: 2.1409 +2023-12-24 20:40:26,348 - pyskl - INFO - Epoch [71][800/1281] lr: 1.364e-02, eta: 11:36:09, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.9150, top5_acc: 0.9969, loss_cls: 2.0611, loss: 2.0611 +2023-12-24 20:41:10,011 - pyskl - INFO - Epoch [71][900/1281] lr: 1.362e-02, eta: 11:35:31, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.9087, top5_acc: 0.9981, loss_cls: 2.0530, loss: 2.0530 +2023-12-24 20:41:46,297 - pyskl - INFO - Epoch [71][1000/1281] lr: 1.360e-02, eta: 11:34:45, time: 0.363, data_time: 0.000, memory: 4130, top1_acc: 0.9006, top5_acc: 0.9988, loss_cls: 2.1034, loss: 2.1034 +2023-12-24 20:42:18,013 - pyskl - INFO - Epoch [71][1100/1281] lr: 1.358e-02, eta: 11:33:53, time: 0.317, data_time: 0.000, memory: 4130, top1_acc: 0.9200, top5_acc: 0.9975, loss_cls: 2.0416, loss: 2.0416 +2023-12-24 20:42:58,186 - pyskl - INFO - Epoch [71][1200/1281] lr: 1.356e-02, eta: 11:33:11, time: 0.402, data_time: 0.000, memory: 4130, top1_acc: 0.9056, top5_acc: 0.9975, loss_cls: 2.0866, loss: 2.0866 +2023-12-24 20:43:17,895 - pyskl - INFO - Saving checkpoint at 71 epochs +2023-12-24 20:44:32,520 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:44:32,586 - pyskl - INFO - +top1_acc 0.8504 +top5_acc 0.9894 +2023-12-24 20:44:32,586 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:44:32,597 - pyskl - INFO - +mean_acc 0.7963 +2023-12-24 20:44:32,600 - pyskl - INFO - Epoch(val) [71][533] top1_acc: 0.8504, top5_acc: 0.9894, mean_class_accuracy: 0.7963 +2023-12-24 20:45:33,581 - pyskl - INFO - Epoch [72][100/1281] lr: 1.353e-02, eta: 11:31:42, time: 0.610, data_time: 0.182, memory: 4130, top1_acc: 0.9081, top5_acc: 0.9975, loss_cls: 2.0744, loss: 2.0744 +2023-12-24 20:46:16,302 - pyskl - INFO - Epoch [72][200/1281] lr: 1.351e-02, eta: 11:31:03, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 2.0258, loss: 2.0258 +2023-12-24 20:46:59,002 - pyskl - INFO - Epoch [72][300/1281] lr: 1.349e-02, eta: 11:30:23, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9181, top5_acc: 0.9994, loss_cls: 2.0291, loss: 2.0291 +2023-12-24 20:47:42,181 - pyskl - INFO - Epoch [72][400/1281] lr: 1.346e-02, eta: 11:29:45, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.9200, top5_acc: 0.9981, loss_cls: 2.0371, loss: 2.0371 +2023-12-24 20:48:25,548 - pyskl - INFO - Epoch [72][500/1281] lr: 1.344e-02, eta: 11:29:06, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9106, top5_acc: 0.9988, loss_cls: 2.0666, loss: 2.0666 +2023-12-24 20:49:09,487 - pyskl - INFO - Epoch [72][600/1281] lr: 1.342e-02, eta: 11:28:28, time: 0.439, data_time: 0.000, memory: 4130, top1_acc: 0.9113, top5_acc: 1.0000, loss_cls: 2.0405, loss: 2.0405 +2023-12-24 20:49:52,936 - pyskl - INFO - Epoch [72][700/1281] lr: 1.340e-02, eta: 11:27:50, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9087, top5_acc: 0.9962, loss_cls: 2.0765, loss: 2.0765 +2023-12-24 20:50:36,959 - pyskl - INFO - Epoch [72][800/1281] lr: 1.338e-02, eta: 11:27:12, time: 0.440, data_time: 0.000, memory: 4130, top1_acc: 0.9025, top5_acc: 0.9988, loss_cls: 2.0903, loss: 2.0903 +2023-12-24 20:51:20,565 - pyskl - INFO - Epoch [72][900/1281] lr: 1.336e-02, eta: 11:26:34, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9981, loss_cls: 2.0666, loss: 2.0666 +2023-12-24 20:51:57,988 - pyskl - INFO - Epoch [72][1000/1281] lr: 1.334e-02, eta: 11:25:49, time: 0.374, data_time: 0.000, memory: 4130, top1_acc: 0.9113, top5_acc: 0.9988, loss_cls: 2.0793, loss: 2.0793 +2023-12-24 20:52:29,181 - pyskl - INFO - Epoch [72][1100/1281] lr: 1.332e-02, eta: 11:24:57, time: 0.312, data_time: 0.001, memory: 4130, top1_acc: 0.9056, top5_acc: 0.9969, loss_cls: 2.0843, loss: 2.0843 +2023-12-24 20:53:10,312 - pyskl - INFO - Epoch [72][1200/1281] lr: 1.330e-02, eta: 11:24:16, time: 0.411, data_time: 0.000, memory: 4130, top1_acc: 0.8988, top5_acc: 0.9956, loss_cls: 2.0805, loss: 2.0805 +2023-12-24 20:53:29,490 - pyskl - INFO - Saving checkpoint at 72 epochs +2023-12-24 20:54:44,284 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 20:54:44,360 - pyskl - INFO - +top1_acc 0.8588 +top5_acc 0.9921 +2023-12-24 20:54:44,360 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 20:54:44,370 - pyskl - INFO - +mean_acc 0.8143 +2023-12-24 20:54:44,372 - pyskl - INFO - Epoch(val) [72][533] top1_acc: 0.8588, top5_acc: 0.9921, mean_class_accuracy: 0.8143 +2023-12-24 20:55:45,932 - pyskl - INFO - Epoch [73][100/1281] lr: 1.326e-02, eta: 11:22:48, time: 0.616, data_time: 0.189, memory: 4130, top1_acc: 0.9275, top5_acc: 0.9969, loss_cls: 2.0353, loss: 2.0353 +2023-12-24 20:56:28,721 - pyskl - INFO - Epoch [73][200/1281] lr: 1.324e-02, eta: 11:22:09, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9975, loss_cls: 2.0768, loss: 2.0768 +2023-12-24 20:57:11,434 - pyskl - INFO - Epoch [73][300/1281] lr: 1.322e-02, eta: 11:21:29, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9100, top5_acc: 0.9975, loss_cls: 2.0742, loss: 2.0742 +2023-12-24 20:57:54,201 - pyskl - INFO - Epoch [73][400/1281] lr: 1.320e-02, eta: 11:20:50, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 1.9861, loss: 1.9861 +2023-12-24 20:58:37,131 - pyskl - INFO - Epoch [73][500/1281] lr: 1.318e-02, eta: 11:20:11, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9156, top5_acc: 0.9981, loss_cls: 2.0564, loss: 2.0564 +2023-12-24 20:59:20,058 - pyskl - INFO - Epoch [73][600/1281] lr: 1.316e-02, eta: 11:19:32, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9269, top5_acc: 0.9988, loss_cls: 2.0269, loss: 2.0269 +2023-12-24 21:00:02,759 - pyskl - INFO - Epoch [73][700/1281] lr: 1.314e-02, eta: 11:18:53, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9250, top5_acc: 0.9988, loss_cls: 2.0373, loss: 2.0373 +2023-12-24 21:00:45,375 - pyskl - INFO - Epoch [73][800/1281] lr: 1.312e-02, eta: 11:18:13, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9163, top5_acc: 0.9988, loss_cls: 2.0490, loss: 2.0490 +2023-12-24 21:01:28,026 - pyskl - INFO - Epoch [73][900/1281] lr: 1.310e-02, eta: 11:17:34, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9944, loss_cls: 2.0849, loss: 2.0849 +2023-12-24 21:02:04,155 - pyskl - INFO - Epoch [73][1000/1281] lr: 1.308e-02, eta: 11:16:48, time: 0.361, data_time: 0.000, memory: 4130, top1_acc: 0.9031, top5_acc: 0.9956, loss_cls: 2.0960, loss: 2.0960 +2023-12-24 21:02:36,448 - pyskl - INFO - Epoch [73][1100/1281] lr: 1.306e-02, eta: 11:15:57, time: 0.323, data_time: 0.000, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9988, loss_cls: 2.0709, loss: 2.0709 +2023-12-24 21:03:15,881 - pyskl - INFO - Epoch [73][1200/1281] lr: 1.304e-02, eta: 11:15:15, time: 0.394, data_time: 0.000, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 2.0746, loss: 2.0746 +2023-12-24 21:03:36,482 - pyskl - INFO - Saving checkpoint at 73 epochs +2023-12-24 21:04:50,163 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:04:50,219 - pyskl - INFO - +top1_acc 0.8411 +top5_acc 0.9884 +2023-12-24 21:04:50,219 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:04:50,226 - pyskl - INFO - +mean_acc 0.8172 +2023-12-24 21:04:50,228 - pyskl - INFO - Epoch(val) [73][533] top1_acc: 0.8411, top5_acc: 0.9884, mean_class_accuracy: 0.8172 +2023-12-24 21:05:50,863 - pyskl - INFO - Epoch [74][100/1281] lr: 1.300e-02, eta: 11:13:46, time: 0.606, data_time: 0.172, memory: 4130, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 2.0148, loss: 2.0148 +2023-12-24 21:06:34,308 - pyskl - INFO - Epoch [74][200/1281] lr: 1.298e-02, eta: 11:13:08, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 2.0016, loss: 2.0016 +2023-12-24 21:07:17,725 - pyskl - INFO - Epoch [74][300/1281] lr: 1.296e-02, eta: 11:12:29, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9156, top5_acc: 0.9988, loss_cls: 2.0442, loss: 2.0442 +2023-12-24 21:08:01,250 - pyskl - INFO - Epoch [74][400/1281] lr: 1.294e-02, eta: 11:11:51, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9150, top5_acc: 0.9969, loss_cls: 2.0495, loss: 2.0495 +2023-12-24 21:08:44,645 - pyskl - INFO - Epoch [74][500/1281] lr: 1.292e-02, eta: 11:11:12, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 2.0425, loss: 2.0425 +2023-12-24 21:09:28,086 - pyskl - INFO - Epoch [74][600/1281] lr: 1.290e-02, eta: 11:10:33, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9131, top5_acc: 0.9981, loss_cls: 2.0541, loss: 2.0541 +2023-12-24 21:10:11,492 - pyskl - INFO - Epoch [74][700/1281] lr: 1.288e-02, eta: 11:09:55, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9263, top5_acc: 0.9988, loss_cls: 2.0295, loss: 2.0295 +2023-12-24 21:10:54,911 - pyskl - INFO - Epoch [74][800/1281] lr: 1.286e-02, eta: 11:09:16, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9069, top5_acc: 0.9981, loss_cls: 2.0656, loss: 2.0656 +2023-12-24 21:11:37,537 - pyskl - INFO - Epoch [74][900/1281] lr: 1.284e-02, eta: 11:08:37, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9100, top5_acc: 0.9962, loss_cls: 2.0822, loss: 2.0822 +2023-12-24 21:12:15,032 - pyskl - INFO - Epoch [74][1000/1281] lr: 1.282e-02, eta: 11:07:52, time: 0.375, data_time: 0.000, memory: 4130, top1_acc: 0.9000, top5_acc: 0.9962, loss_cls: 2.1133, loss: 2.1133 +2023-12-24 21:12:47,028 - pyskl - INFO - Epoch [74][1100/1281] lr: 1.280e-02, eta: 11:07:02, time: 0.320, data_time: 0.000, memory: 4130, top1_acc: 0.9213, top5_acc: 0.9969, loss_cls: 2.0635, loss: 2.0635 +2023-12-24 21:13:26,765 - pyskl - INFO - Epoch [74][1200/1281] lr: 1.278e-02, eta: 11:06:19, time: 0.397, data_time: 0.000, memory: 4130, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 2.0433, loss: 2.0433 +2023-12-24 21:13:47,246 - pyskl - INFO - Saving checkpoint at 74 epochs +2023-12-24 21:15:00,625 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:15:00,697 - pyskl - INFO - +top1_acc 0.8255 +top5_acc 0.9842 +2023-12-24 21:15:00,698 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:15:00,706 - pyskl - INFO - +mean_acc 0.7777 +2023-12-24 21:15:00,708 - pyskl - INFO - Epoch(val) [74][533] top1_acc: 0.8255, top5_acc: 0.9842, mean_class_accuracy: 0.7777 +2023-12-24 21:16:00,397 - pyskl - INFO - Epoch [75][100/1281] lr: 1.274e-02, eta: 11:04:50, time: 0.597, data_time: 0.170, memory: 4130, top1_acc: 0.9225, top5_acc: 0.9956, loss_cls: 2.0385, loss: 2.0385 +2023-12-24 21:16:43,046 - pyskl - INFO - Epoch [75][200/1281] lr: 1.272e-02, eta: 11:04:11, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9231, top5_acc: 0.9994, loss_cls: 2.0383, loss: 2.0383 +2023-12-24 21:17:25,710 - pyskl - INFO - Epoch [75][300/1281] lr: 1.270e-02, eta: 11:03:32, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9181, top5_acc: 0.9975, loss_cls: 2.0464, loss: 2.0464 +2023-12-24 21:18:08,415 - pyskl - INFO - Epoch [75][400/1281] lr: 1.268e-02, eta: 11:02:52, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9050, top5_acc: 0.9950, loss_cls: 2.0865, loss: 2.0865 +2023-12-24 21:18:51,010 - pyskl - INFO - Epoch [75][500/1281] lr: 1.266e-02, eta: 11:02:13, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9156, top5_acc: 0.9969, loss_cls: 2.0479, loss: 2.0479 +2023-12-24 21:19:33,574 - pyskl - INFO - Epoch [75][600/1281] lr: 1.264e-02, eta: 11:01:33, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9150, top5_acc: 0.9994, loss_cls: 2.0341, loss: 2.0341 +2023-12-24 21:20:16,165 - pyskl - INFO - Epoch [75][700/1281] lr: 1.262e-02, eta: 11:00:54, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9263, top5_acc: 0.9981, loss_cls: 2.0091, loss: 2.0091 +2023-12-24 21:20:58,762 - pyskl - INFO - Epoch [75][800/1281] lr: 1.260e-02, eta: 11:00:14, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9100, top5_acc: 1.0000, loss_cls: 2.0598, loss: 2.0598 +2023-12-24 21:21:41,313 - pyskl - INFO - Epoch [75][900/1281] lr: 1.258e-02, eta: 10:59:35, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9206, top5_acc: 0.9969, loss_cls: 2.0497, loss: 2.0497 +2023-12-24 21:22:18,983 - pyskl - INFO - Epoch [75][1000/1281] lr: 1.256e-02, eta: 10:58:51, time: 0.377, data_time: 0.000, memory: 4130, top1_acc: 0.9163, top5_acc: 0.9988, loss_cls: 2.0404, loss: 2.0404 +2023-12-24 21:22:50,189 - pyskl - INFO - Epoch [75][1100/1281] lr: 1.254e-02, eta: 10:58:00, time: 0.312, data_time: 0.000, memory: 4130, top1_acc: 0.9087, top5_acc: 0.9975, loss_cls: 2.0777, loss: 2.0777 +2023-12-24 21:23:30,879 - pyskl - INFO - Epoch [75][1200/1281] lr: 1.252e-02, eta: 10:57:18, time: 0.407, data_time: 0.000, memory: 4130, top1_acc: 0.9062, top5_acc: 0.9975, loss_cls: 2.0726, loss: 2.0726 +2023-12-24 21:23:51,449 - pyskl - INFO - Saving checkpoint at 75 epochs +2023-12-24 21:25:04,440 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:25:04,495 - pyskl - INFO - +top1_acc 0.8574 +top5_acc 0.9896 +2023-12-24 21:25:04,495 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:25:04,502 - pyskl - INFO - +mean_acc 0.8187 +2023-12-24 21:25:04,503 - pyskl - INFO - Epoch(val) [75][533] top1_acc: 0.8574, top5_acc: 0.9896, mean_class_accuracy: 0.8187 +2023-12-24 21:26:05,197 - pyskl - INFO - Epoch [76][100/1281] lr: 1.248e-02, eta: 10:55:51, time: 0.607, data_time: 0.173, memory: 4130, top1_acc: 0.9287, top5_acc: 0.9994, loss_cls: 2.0142, loss: 2.0142 +2023-12-24 21:26:48,601 - pyskl - INFO - Epoch [76][200/1281] lr: 1.246e-02, eta: 10:55:12, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 1.9906, loss: 1.9906 +2023-12-24 21:27:31,510 - pyskl - INFO - Epoch [76][300/1281] lr: 1.244e-02, eta: 10:54:33, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9237, top5_acc: 0.9981, loss_cls: 2.0371, loss: 2.0371 +2023-12-24 21:28:14,210 - pyskl - INFO - Epoch [76][400/1281] lr: 1.242e-02, eta: 10:53:54, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 2.0440, loss: 2.0440 +2023-12-24 21:28:56,724 - pyskl - INFO - Epoch [76][500/1281] lr: 1.240e-02, eta: 10:53:14, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9119, top5_acc: 0.9969, loss_cls: 2.0506, loss: 2.0506 +2023-12-24 21:29:39,320 - pyskl - INFO - Epoch [76][600/1281] lr: 1.238e-02, eta: 10:52:35, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9044, top5_acc: 0.9962, loss_cls: 2.0873, loss: 2.0873 +2023-12-24 21:30:21,957 - pyskl - INFO - Epoch [76][700/1281] lr: 1.236e-02, eta: 10:51:55, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9094, top5_acc: 0.9962, loss_cls: 2.0587, loss: 2.0587 +2023-12-24 21:31:04,625 - pyskl - INFO - Epoch [76][800/1281] lr: 1.234e-02, eta: 10:51:16, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9012, top5_acc: 0.9956, loss_cls: 2.0854, loss: 2.0854 +2023-12-24 21:31:47,209 - pyskl - INFO - Epoch [76][900/1281] lr: 1.232e-02, eta: 10:50:36, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9213, top5_acc: 0.9981, loss_cls: 2.0382, loss: 2.0382 +2023-12-24 21:32:25,155 - pyskl - INFO - Epoch [76][1000/1281] lr: 1.230e-02, eta: 10:49:52, time: 0.379, data_time: 0.000, memory: 4130, top1_acc: 0.9125, top5_acc: 0.9988, loss_cls: 2.0708, loss: 2.0708 +2023-12-24 21:32:56,084 - pyskl - INFO - Epoch [76][1100/1281] lr: 1.228e-02, eta: 10:49:01, time: 0.309, data_time: 0.000, memory: 4130, top1_acc: 0.9094, top5_acc: 0.9975, loss_cls: 2.0650, loss: 2.0650 +2023-12-24 21:33:37,001 - pyskl - INFO - Epoch [76][1200/1281] lr: 1.225e-02, eta: 10:48:20, time: 0.409, data_time: 0.000, memory: 4130, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 2.0382, loss: 2.0382 +2023-12-24 21:33:56,185 - pyskl - INFO - Saving checkpoint at 76 epochs +2023-12-24 21:35:09,726 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:35:09,783 - pyskl - INFO - +top1_acc 0.8622 +top5_acc 0.9901 +2023-12-24 21:35:09,783 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:35:09,791 - pyskl - INFO - +mean_acc 0.8346 +2023-12-24 21:35:09,796 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_65.pth was removed +2023-12-24 21:35:09,995 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_76.pth. +2023-12-24 21:35:09,995 - pyskl - INFO - Best top1_acc is 0.8622 at 76 epoch. +2023-12-24 21:35:09,998 - pyskl - INFO - Epoch(val) [76][533] top1_acc: 0.8622, top5_acc: 0.9901, mean_class_accuracy: 0.8346 +2023-12-24 21:36:09,705 - pyskl - INFO - Epoch [77][100/1281] lr: 1.222e-02, eta: 10:46:52, time: 0.597, data_time: 0.170, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9969, loss_cls: 2.0416, loss: 2.0416 +2023-12-24 21:36:52,373 - pyskl - INFO - Epoch [77][200/1281] lr: 1.220e-02, eta: 10:46:13, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 2.0139, loss: 2.0139 +2023-12-24 21:37:34,944 - pyskl - INFO - Epoch [77][300/1281] lr: 1.218e-02, eta: 10:45:33, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9194, top5_acc: 0.9981, loss_cls: 2.0405, loss: 2.0405 +2023-12-24 21:38:17,507 - pyskl - INFO - Epoch [77][400/1281] lr: 1.216e-02, eta: 10:44:54, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9169, top5_acc: 0.9994, loss_cls: 2.0375, loss: 2.0375 +2023-12-24 21:39:00,071 - pyskl - INFO - Epoch [77][500/1281] lr: 1.214e-02, eta: 10:44:14, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9244, top5_acc: 0.9969, loss_cls: 2.0274, loss: 2.0274 +2023-12-24 21:39:42,817 - pyskl - INFO - Epoch [77][600/1281] lr: 1.212e-02, eta: 10:43:35, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9213, top5_acc: 0.9969, loss_cls: 2.0273, loss: 2.0273 +2023-12-24 21:40:25,441 - pyskl - INFO - Epoch [77][700/1281] lr: 1.210e-02, eta: 10:42:56, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9044, top5_acc: 0.9975, loss_cls: 2.0839, loss: 2.0839 +2023-12-24 21:41:07,966 - pyskl - INFO - Epoch [77][800/1281] lr: 1.207e-02, eta: 10:42:16, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9144, top5_acc: 0.9994, loss_cls: 2.0584, loss: 2.0584 +2023-12-24 21:41:50,489 - pyskl - INFO - Epoch [77][900/1281] lr: 1.205e-02, eta: 10:41:36, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9287, top5_acc: 0.9975, loss_cls: 2.0390, loss: 2.0390 +2023-12-24 21:42:28,864 - pyskl - INFO - Epoch [77][1000/1281] lr: 1.203e-02, eta: 10:40:53, time: 0.384, data_time: 0.000, memory: 4130, top1_acc: 0.9150, top5_acc: 0.9975, loss_cls: 2.0640, loss: 2.0640 +2023-12-24 21:42:59,484 - pyskl - INFO - Epoch [77][1100/1281] lr: 1.201e-02, eta: 10:40:02, time: 0.306, data_time: 0.000, memory: 4130, top1_acc: 0.9213, top5_acc: 0.9969, loss_cls: 2.0411, loss: 2.0411 +2023-12-24 21:43:40,786 - pyskl - INFO - Epoch [77][1200/1281] lr: 1.199e-02, eta: 10:39:21, time: 0.413, data_time: 0.000, memory: 4130, top1_acc: 0.9119, top5_acc: 0.9969, loss_cls: 2.0728, loss: 2.0728 +2023-12-24 21:44:00,171 - pyskl - INFO - Saving checkpoint at 77 epochs +2023-12-24 21:45:13,773 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:45:13,827 - pyskl - INFO - +top1_acc 0.8400 +top5_acc 0.9887 +2023-12-24 21:45:13,828 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:45:13,834 - pyskl - INFO - +mean_acc 0.7885 +2023-12-24 21:45:13,836 - pyskl - INFO - Epoch(val) [77][533] top1_acc: 0.8400, top5_acc: 0.9887, mean_class_accuracy: 0.7885 +2023-12-24 21:46:14,057 - pyskl - INFO - Epoch [78][100/1281] lr: 1.196e-02, eta: 10:37:54, time: 0.602, data_time: 0.168, memory: 4130, top1_acc: 0.9213, top5_acc: 1.0000, loss_cls: 2.0283, loss: 2.0283 +2023-12-24 21:46:57,359 - pyskl - INFO - Epoch [78][200/1281] lr: 1.194e-02, eta: 10:37:15, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9413, top5_acc: 0.9994, loss_cls: 1.9886, loss: 1.9886 +2023-12-24 21:47:40,768 - pyskl - INFO - Epoch [78][300/1281] lr: 1.192e-02, eta: 10:36:37, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 2.0030, loss: 2.0030 +2023-12-24 21:48:24,213 - pyskl - INFO - Epoch [78][400/1281] lr: 1.190e-02, eta: 10:35:58, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 2.0337, loss: 2.0337 +2023-12-24 21:49:07,590 - pyskl - INFO - Epoch [78][500/1281] lr: 1.187e-02, eta: 10:35:19, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9200, top5_acc: 0.9981, loss_cls: 2.0284, loss: 2.0284 +2023-12-24 21:49:51,020 - pyskl - INFO - Epoch [78][600/1281] lr: 1.185e-02, eta: 10:34:40, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9250, top5_acc: 0.9969, loss_cls: 2.0309, loss: 2.0309 +2023-12-24 21:50:34,343 - pyskl - INFO - Epoch [78][700/1281] lr: 1.183e-02, eta: 10:34:02, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9256, top5_acc: 0.9975, loss_cls: 2.0271, loss: 2.0271 +2023-12-24 21:51:17,727 - pyskl - INFO - Epoch [78][800/1281] lr: 1.181e-02, eta: 10:33:23, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 2.0190, loss: 2.0190 +2023-12-24 21:52:01,098 - pyskl - INFO - Epoch [78][900/1281] lr: 1.179e-02, eta: 10:32:44, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9175, top5_acc: 0.9994, loss_cls: 2.0383, loss: 2.0383 +2023-12-24 21:52:39,936 - pyskl - INFO - Epoch [78][1000/1281] lr: 1.177e-02, eta: 10:32:01, time: 0.388, data_time: 0.000, memory: 4130, top1_acc: 0.9075, top5_acc: 0.9975, loss_cls: 2.0940, loss: 2.0940 +2023-12-24 21:53:10,245 - pyskl - INFO - Epoch [78][1100/1281] lr: 1.175e-02, eta: 10:31:10, time: 0.303, data_time: 0.000, memory: 4130, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 2.0470, loss: 2.0470 +2023-12-24 21:53:51,727 - pyskl - INFO - Epoch [78][1200/1281] lr: 1.173e-02, eta: 10:30:30, time: 0.415, data_time: 0.000, memory: 4130, top1_acc: 0.9150, top5_acc: 0.9988, loss_cls: 2.0482, loss: 2.0482 +2023-12-24 21:54:10,167 - pyskl - INFO - Saving checkpoint at 78 epochs +2023-12-24 21:55:23,786 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 21:55:23,841 - pyskl - INFO - +top1_acc 0.8680 +top5_acc 0.9924 +2023-12-24 21:55:23,841 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 21:55:23,848 - pyskl - INFO - +mean_acc 0.8276 +2023-12-24 21:55:23,852 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_76.pth was removed +2023-12-24 21:55:24,043 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_78.pth. +2023-12-24 21:55:24,043 - pyskl - INFO - Best top1_acc is 0.8680 at 78 epoch. +2023-12-24 21:55:24,047 - pyskl - INFO - Epoch(val) [78][533] top1_acc: 0.8680, top5_acc: 0.9924, mean_class_accuracy: 0.8276 +2023-12-24 21:56:23,627 - pyskl - INFO - Epoch [79][100/1281] lr: 1.169e-02, eta: 10:29:02, time: 0.596, data_time: 0.170, memory: 4130, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 1.9932, loss: 1.9932 +2023-12-24 21:57:06,297 - pyskl - INFO - Epoch [79][200/1281] lr: 1.167e-02, eta: 10:28:23, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9219, top5_acc: 0.9994, loss_cls: 2.0186, loss: 2.0186 +2023-12-24 21:57:48,908 - pyskl - INFO - Epoch [79][300/1281] lr: 1.165e-02, eta: 10:27:43, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9287, top5_acc: 1.0000, loss_cls: 2.0062, loss: 2.0062 +2023-12-24 21:58:31,525 - pyskl - INFO - Epoch [79][400/1281] lr: 1.163e-02, eta: 10:27:04, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9337, top5_acc: 0.9988, loss_cls: 2.0066, loss: 2.0066 +2023-12-24 21:59:14,331 - pyskl - INFO - Epoch [79][500/1281] lr: 1.161e-02, eta: 10:26:24, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9981, loss_cls: 2.0411, loss: 2.0411 +2023-12-24 21:59:56,887 - pyskl - INFO - Epoch [79][600/1281] lr: 1.159e-02, eta: 10:25:45, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9163, top5_acc: 0.9994, loss_cls: 2.0562, loss: 2.0562 +2023-12-24 22:00:39,459 - pyskl - INFO - Epoch [79][700/1281] lr: 1.157e-02, eta: 10:25:05, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9263, top5_acc: 0.9994, loss_cls: 2.0150, loss: 2.0150 +2023-12-24 22:01:22,038 - pyskl - INFO - Epoch [79][800/1281] lr: 1.155e-02, eta: 10:24:26, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 1.9990, loss: 1.9990 +2023-12-24 22:02:04,701 - pyskl - INFO - Epoch [79][900/1281] lr: 1.153e-02, eta: 10:23:46, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9106, top5_acc: 0.9988, loss_cls: 2.0673, loss: 2.0673 +2023-12-24 22:02:43,595 - pyskl - INFO - Epoch [79][1000/1281] lr: 1.151e-02, eta: 10:23:04, time: 0.389, data_time: 0.000, memory: 4130, top1_acc: 0.9131, top5_acc: 0.9981, loss_cls: 2.0558, loss: 2.0558 +2023-12-24 22:03:13,993 - pyskl - INFO - Epoch [79][1100/1281] lr: 1.149e-02, eta: 10:22:13, time: 0.304, data_time: 0.000, memory: 4130, top1_acc: 0.9175, top5_acc: 0.9981, loss_cls: 2.0366, loss: 2.0366 +2023-12-24 22:03:55,483 - pyskl - INFO - Epoch [79][1200/1281] lr: 1.147e-02, eta: 10:21:33, time: 0.415, data_time: 0.000, memory: 4130, top1_acc: 0.9337, top5_acc: 0.9981, loss_cls: 1.9846, loss: 1.9846 +2023-12-24 22:04:14,773 - pyskl - INFO - Saving checkpoint at 79 epochs +2023-12-24 22:05:28,785 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:05:28,848 - pyskl - INFO - +top1_acc 0.8710 +top5_acc 0.9910 +2023-12-24 22:05:28,848 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:05:28,857 - pyskl - INFO - +mean_acc 0.8253 +2023-12-24 22:05:28,866 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_78.pth was removed +2023-12-24 22:05:29,081 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2023-12-24 22:05:29,082 - pyskl - INFO - Best top1_acc is 0.8710 at 79 epoch. +2023-12-24 22:05:29,084 - pyskl - INFO - Epoch(val) [79][533] top1_acc: 0.8710, top5_acc: 0.9910, mean_class_accuracy: 0.8253 +2023-12-24 22:06:29,138 - pyskl - INFO - Epoch [80][100/1281] lr: 1.143e-02, eta: 10:20:06, time: 0.600, data_time: 0.173, memory: 4130, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 1.9712, loss: 1.9712 +2023-12-24 22:07:11,807 - pyskl - INFO - Epoch [80][200/1281] lr: 1.141e-02, eta: 10:19:26, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 1.9997, loss: 1.9997 +2023-12-24 22:07:54,361 - pyskl - INFO - Epoch [80][300/1281] lr: 1.139e-02, eta: 10:18:47, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9319, top5_acc: 0.9994, loss_cls: 2.0073, loss: 2.0073 +2023-12-24 22:08:37,026 - pyskl - INFO - Epoch [80][400/1281] lr: 1.137e-02, eta: 10:18:07, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9219, top5_acc: 0.9981, loss_cls: 2.0498, loss: 2.0498 +2023-12-24 22:09:19,646 - pyskl - INFO - Epoch [80][500/1281] lr: 1.135e-02, eta: 10:17:28, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 2.0128, loss: 2.0128 +2023-12-24 22:10:02,288 - pyskl - INFO - Epoch [80][600/1281] lr: 1.133e-02, eta: 10:16:48, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 2.0184, loss: 2.0184 +2023-12-24 22:10:44,867 - pyskl - INFO - Epoch [80][700/1281] lr: 1.131e-02, eta: 10:16:09, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9206, top5_acc: 0.9994, loss_cls: 2.0386, loss: 2.0386 +2023-12-24 22:11:27,412 - pyskl - INFO - Epoch [80][800/1281] lr: 1.129e-02, eta: 10:15:29, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9137, top5_acc: 0.9994, loss_cls: 2.0514, loss: 2.0514 +2023-12-24 22:12:10,006 - pyskl - INFO - Epoch [80][900/1281] lr: 1.127e-02, eta: 10:14:50, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9263, top5_acc: 0.9988, loss_cls: 2.0267, loss: 2.0267 +2023-12-24 22:12:47,743 - pyskl - INFO - Epoch [80][1000/1281] lr: 1.125e-02, eta: 10:14:06, time: 0.377, data_time: 0.000, memory: 4130, top1_acc: 0.9213, top5_acc: 0.9975, loss_cls: 2.0439, loss: 2.0439 +2023-12-24 22:13:18,087 - pyskl - INFO - Epoch [80][1100/1281] lr: 1.123e-02, eta: 10:13:16, time: 0.303, data_time: 0.000, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9994, loss_cls: 2.0583, loss: 2.0583 +2023-12-24 22:13:59,522 - pyskl - INFO - Epoch [80][1200/1281] lr: 1.121e-02, eta: 10:12:35, time: 0.414, data_time: 0.000, memory: 4130, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 2.0655, loss: 2.0655 +2023-12-24 22:14:18,236 - pyskl - INFO - Saving checkpoint at 80 epochs +2023-12-24 22:15:31,591 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:15:31,659 - pyskl - INFO - +top1_acc 0.8850 +top5_acc 0.9923 +2023-12-24 22:15:31,659 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:15:31,667 - pyskl - INFO - +mean_acc 0.8290 +2023-12-24 22:15:31,672 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_79.pth was removed +2023-12-24 22:15:31,867 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_80.pth. +2023-12-24 22:15:31,867 - pyskl - INFO - Best top1_acc is 0.8850 at 80 epoch. +2023-12-24 22:15:31,870 - pyskl - INFO - Epoch(val) [80][533] top1_acc: 0.8850, top5_acc: 0.9923, mean_class_accuracy: 0.8290 +2023-12-24 22:16:31,978 - pyskl - INFO - Epoch [81][100/1281] lr: 1.117e-02, eta: 10:11:09, time: 0.601, data_time: 0.167, memory: 4130, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 2.0080, loss: 2.0080 +2023-12-24 22:17:15,408 - pyskl - INFO - Epoch [81][200/1281] lr: 1.115e-02, eta: 10:10:30, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9350, top5_acc: 1.0000, loss_cls: 2.0161, loss: 2.0161 +2023-12-24 22:17:58,803 - pyskl - INFO - Epoch [81][300/1281] lr: 1.113e-02, eta: 10:09:51, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9313, top5_acc: 0.9988, loss_cls: 2.0303, loss: 2.0303 +2023-12-24 22:18:41,445 - pyskl - INFO - Epoch [81][400/1281] lr: 1.111e-02, eta: 10:09:12, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9275, top5_acc: 1.0000, loss_cls: 2.0107, loss: 2.0107 +2023-12-24 22:19:24,097 - pyskl - INFO - Epoch [81][500/1281] lr: 1.109e-02, eta: 10:08:32, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9994, loss_cls: 2.0132, loss: 2.0132 +2023-12-24 22:20:06,634 - pyskl - INFO - Epoch [81][600/1281] lr: 1.107e-02, eta: 10:07:53, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9181, top5_acc: 0.9994, loss_cls: 2.0390, loss: 2.0390 +2023-12-24 22:20:49,240 - pyskl - INFO - Epoch [81][700/1281] lr: 1.105e-02, eta: 10:07:13, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9406, top5_acc: 1.0000, loss_cls: 1.9828, loss: 1.9828 +2023-12-24 22:21:31,824 - pyskl - INFO - Epoch [81][800/1281] lr: 1.103e-02, eta: 10:06:34, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 1.9869, loss: 1.9869 +2023-12-24 22:22:14,459 - pyskl - INFO - Epoch [81][900/1281] lr: 1.101e-02, eta: 10:05:54, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9975, loss_cls: 2.0259, loss: 2.0259 +2023-12-24 22:22:53,980 - pyskl - INFO - Epoch [81][1000/1281] lr: 1.099e-02, eta: 10:05:12, time: 0.395, data_time: 0.000, memory: 4130, top1_acc: 0.8981, top5_acc: 0.9962, loss_cls: 2.1124, loss: 2.1124 +2023-12-24 22:23:22,988 - pyskl - INFO - Epoch [81][1100/1281] lr: 1.097e-02, eta: 10:04:21, time: 0.290, data_time: 0.000, memory: 4130, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 2.0102, loss: 2.0102 +2023-12-24 22:24:05,967 - pyskl - INFO - Epoch [81][1200/1281] lr: 1.095e-02, eta: 10:03:42, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.9250, top5_acc: 0.9988, loss_cls: 2.0312, loss: 2.0312 +2023-12-24 22:24:23,311 - pyskl - INFO - Saving checkpoint at 81 epochs +2023-12-24 22:25:37,003 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:25:37,059 - pyskl - INFO - +top1_acc 0.8679 +top5_acc 0.9916 +2023-12-24 22:25:37,059 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:25:37,067 - pyskl - INFO - +mean_acc 0.8244 +2023-12-24 22:25:37,069 - pyskl - INFO - Epoch(val) [81][533] top1_acc: 0.8679, top5_acc: 0.9916, mean_class_accuracy: 0.8244 +2023-12-24 22:26:37,341 - pyskl - INFO - Epoch [82][100/1281] lr: 1.091e-02, eta: 10:02:16, time: 0.603, data_time: 0.170, memory: 4130, top1_acc: 0.9450, top5_acc: 1.0000, loss_cls: 1.9643, loss: 1.9643 +2023-12-24 22:27:20,794 - pyskl - INFO - Epoch [82][200/1281] lr: 1.089e-02, eta: 10:01:37, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9356, top5_acc: 1.0000, loss_cls: 1.9786, loss: 1.9786 +2023-12-24 22:28:04,075 - pyskl - INFO - Epoch [82][300/1281] lr: 1.087e-02, eta: 10:00:58, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9331, top5_acc: 0.9994, loss_cls: 2.0075, loss: 2.0075 +2023-12-24 22:28:47,538 - pyskl - INFO - Epoch [82][400/1281] lr: 1.085e-02, eta: 10:00:19, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9331, top5_acc: 0.9988, loss_cls: 2.0108, loss: 2.0108 +2023-12-24 22:29:30,958 - pyskl - INFO - Epoch [82][500/1281] lr: 1.083e-02, eta: 9:59:40, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9156, top5_acc: 0.9988, loss_cls: 2.0308, loss: 2.0308 +2023-12-24 22:30:14,373 - pyskl - INFO - Epoch [82][600/1281] lr: 1.081e-02, eta: 9:59:01, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9225, top5_acc: 0.9994, loss_cls: 2.0144, loss: 2.0144 +2023-12-24 22:30:57,715 - pyskl - INFO - Epoch [82][700/1281] lr: 1.079e-02, eta: 9:58:23, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9256, top5_acc: 0.9981, loss_cls: 2.0523, loss: 2.0523 +2023-12-24 22:31:41,176 - pyskl - INFO - Epoch [82][800/1281] lr: 1.077e-02, eta: 9:57:44, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9237, top5_acc: 0.9975, loss_cls: 2.0416, loss: 2.0416 +2023-12-24 22:32:24,520 - pyskl - INFO - Epoch [82][900/1281] lr: 1.075e-02, eta: 9:57:05, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 1.9970, loss: 1.9970 +2023-12-24 22:33:05,114 - pyskl - INFO - Epoch [82][1000/1281] lr: 1.073e-02, eta: 9:56:24, time: 0.406, data_time: 0.000, memory: 4130, top1_acc: 0.9269, top5_acc: 0.9994, loss_cls: 2.0274, loss: 2.0274 +2023-12-24 22:33:33,238 - pyskl - INFO - Epoch [82][1100/1281] lr: 1.071e-02, eta: 9:55:32, time: 0.281, data_time: 0.000, memory: 4130, top1_acc: 0.9231, top5_acc: 0.9988, loss_cls: 2.0435, loss: 2.0435 +2023-12-24 22:34:17,021 - pyskl - INFO - Epoch [82][1200/1281] lr: 1.069e-02, eta: 9:54:53, time: 0.438, data_time: 0.000, memory: 4130, top1_acc: 0.9313, top5_acc: 0.9994, loss_cls: 1.9928, loss: 1.9928 +2023-12-24 22:34:34,505 - pyskl - INFO - Saving checkpoint at 82 epochs +2023-12-24 22:35:47,304 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:35:47,370 - pyskl - INFO - +top1_acc 0.8454 +top5_acc 0.9886 +2023-12-24 22:35:47,370 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:35:47,378 - pyskl - INFO - +mean_acc 0.7974 +2023-12-24 22:35:47,381 - pyskl - INFO - Epoch(val) [82][533] top1_acc: 0.8454, top5_acc: 0.9886, mean_class_accuracy: 0.7974 +2023-12-24 22:36:47,013 - pyskl - INFO - Epoch [83][100/1281] lr: 1.065e-02, eta: 9:53:27, time: 0.596, data_time: 0.170, memory: 4130, top1_acc: 0.9356, top5_acc: 1.0000, loss_cls: 1.9972, loss: 1.9972 +2023-12-24 22:37:29,748 - pyskl - INFO - Epoch [83][200/1281] lr: 1.063e-02, eta: 9:52:48, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9275, top5_acc: 0.9988, loss_cls: 2.0080, loss: 2.0080 +2023-12-24 22:38:12,324 - pyskl - INFO - Epoch [83][300/1281] lr: 1.061e-02, eta: 9:52:08, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9219, top5_acc: 0.9962, loss_cls: 2.0504, loss: 2.0504 +2023-12-24 22:38:54,964 - pyskl - INFO - Epoch [83][400/1281] lr: 1.059e-02, eta: 9:51:29, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 1.9606, loss: 1.9606 +2023-12-24 22:39:37,689 - pyskl - INFO - Epoch [83][500/1281] lr: 1.057e-02, eta: 9:50:49, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9337, top5_acc: 0.9988, loss_cls: 2.0089, loss: 2.0089 +2023-12-24 22:40:20,312 - pyskl - INFO - Epoch [83][600/1281] lr: 1.055e-02, eta: 9:50:10, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9350, top5_acc: 1.0000, loss_cls: 1.9970, loss: 1.9970 +2023-12-24 22:41:02,982 - pyskl - INFO - Epoch [83][700/1281] lr: 1.053e-02, eta: 9:49:30, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 1.9947, loss: 1.9947 +2023-12-24 22:41:45,703 - pyskl - INFO - Epoch [83][800/1281] lr: 1.051e-02, eta: 9:48:51, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9319, top5_acc: 1.0000, loss_cls: 2.0111, loss: 2.0111 +2023-12-24 22:42:28,271 - pyskl - INFO - Epoch [83][900/1281] lr: 1.049e-02, eta: 9:48:11, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 2.0024, loss: 2.0024 +2023-12-24 22:43:09,548 - pyskl - INFO - Epoch [83][1000/1281] lr: 1.047e-02, eta: 9:47:30, time: 0.413, data_time: 0.000, memory: 4130, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 2.0428, loss: 2.0428 +2023-12-24 22:43:36,619 - pyskl - INFO - Epoch [83][1100/1281] lr: 1.045e-02, eta: 9:46:38, time: 0.271, data_time: 0.000, memory: 4130, top1_acc: 0.9187, top5_acc: 0.9988, loss_cls: 2.0516, loss: 2.0516 +2023-12-24 22:44:21,382 - pyskl - INFO - Epoch [83][1200/1281] lr: 1.043e-02, eta: 9:46:00, time: 0.448, data_time: 0.000, memory: 4130, top1_acc: 0.9369, top5_acc: 0.9994, loss_cls: 2.0131, loss: 2.0131 +2023-12-24 22:44:39,013 - pyskl - INFO - Saving checkpoint at 83 epochs +2023-12-24 22:45:52,294 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:45:52,355 - pyskl - INFO - +top1_acc 0.8460 +top5_acc 0.9879 +2023-12-24 22:45:52,355 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:45:52,363 - pyskl - INFO - +mean_acc 0.7879 +2023-12-24 22:45:52,366 - pyskl - INFO - Epoch(val) [83][533] top1_acc: 0.8460, top5_acc: 0.9879, mean_class_accuracy: 0.7879 +2023-12-24 22:46:52,396 - pyskl - INFO - Epoch [84][100/1281] lr: 1.040e-02, eta: 9:44:35, time: 0.600, data_time: 0.173, memory: 4130, top1_acc: 0.9244, top5_acc: 0.9994, loss_cls: 2.0244, loss: 2.0244 +2023-12-24 22:47:35,093 - pyskl - INFO - Epoch [84][200/1281] lr: 1.038e-02, eta: 9:43:56, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9319, top5_acc: 0.9988, loss_cls: 1.9945, loss: 1.9945 +2023-12-24 22:48:17,846 - pyskl - INFO - Epoch [84][300/1281] lr: 1.036e-02, eta: 9:43:16, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 2.0021, loss: 2.0021 +2023-12-24 22:49:00,403 - pyskl - INFO - Epoch [84][400/1281] lr: 1.034e-02, eta: 9:42:37, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 1.9755, loss: 1.9755 +2023-12-24 22:49:43,051 - pyskl - INFO - Epoch [84][500/1281] lr: 1.031e-02, eta: 9:41:57, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9994, loss_cls: 2.0087, loss: 2.0087 +2023-12-24 22:50:25,551 - pyskl - INFO - Epoch [84][600/1281] lr: 1.029e-02, eta: 9:41:17, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 2.0213, loss: 2.0213 +2023-12-24 22:51:08,177 - pyskl - INFO - Epoch [84][700/1281] lr: 1.027e-02, eta: 9:40:38, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9381, top5_acc: 0.9994, loss_cls: 2.0011, loss: 2.0011 +2023-12-24 22:51:50,669 - pyskl - INFO - Epoch [84][800/1281] lr: 1.025e-02, eta: 9:39:58, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 1.9997, loss: 1.9997 +2023-12-24 22:52:33,266 - pyskl - INFO - Epoch [84][900/1281] lr: 1.023e-02, eta: 9:39:18, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9337, top5_acc: 0.9994, loss_cls: 2.0068, loss: 2.0068 +2023-12-24 22:53:15,014 - pyskl - INFO - Epoch [84][1000/1281] lr: 1.021e-02, eta: 9:38:38, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 1.9778, loss: 1.9778 +2023-12-24 22:53:41,686 - pyskl - INFO - Epoch [84][1100/1281] lr: 1.019e-02, eta: 9:37:46, time: 0.267, data_time: 0.000, memory: 4130, top1_acc: 0.9313, top5_acc: 0.9988, loss_cls: 2.0233, loss: 2.0233 +2023-12-24 22:54:26,647 - pyskl - INFO - Epoch [84][1200/1281] lr: 1.017e-02, eta: 9:37:08, time: 0.450, data_time: 0.000, memory: 4130, top1_acc: 0.9194, top5_acc: 0.9994, loss_cls: 2.0553, loss: 2.0553 +2023-12-24 22:54:44,316 - pyskl - INFO - Saving checkpoint at 84 epochs +2023-12-24 22:55:57,910 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 22:55:57,968 - pyskl - INFO - +top1_acc 0.8681 +top5_acc 0.9925 +2023-12-24 22:55:57,968 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 22:55:57,976 - pyskl - INFO - +mean_acc 0.7996 +2023-12-24 22:55:57,978 - pyskl - INFO - Epoch(val) [84][533] top1_acc: 0.8681, top5_acc: 0.9925, mean_class_accuracy: 0.7996 +2023-12-24 22:56:57,581 - pyskl - INFO - Epoch [85][100/1281] lr: 1.014e-02, eta: 9:35:43, time: 0.596, data_time: 0.170, memory: 4130, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 1.9718, loss: 1.9718 +2023-12-24 22:57:40,290 - pyskl - INFO - Epoch [85][200/1281] lr: 1.012e-02, eta: 9:35:03, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 1.9607, loss: 1.9607 +2023-12-24 22:58:22,765 - pyskl - INFO - Epoch [85][300/1281] lr: 1.010e-02, eta: 9:34:24, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 1.9901, loss: 1.9901 +2023-12-24 22:59:05,396 - pyskl - INFO - Epoch [85][400/1281] lr: 1.008e-02, eta: 9:33:44, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 1.9882, loss: 1.9882 +2023-12-24 22:59:47,999 - pyskl - INFO - Epoch [85][500/1281] lr: 1.006e-02, eta: 9:33:05, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9450, top5_acc: 0.9994, loss_cls: 1.9711, loss: 1.9711 +2023-12-24 23:00:30,612 - pyskl - INFO - Epoch [85][600/1281] lr: 1.004e-02, eta: 9:32:25, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 2.0460, loss: 2.0460 +2023-12-24 23:01:13,286 - pyskl - INFO - Epoch [85][700/1281] lr: 1.002e-02, eta: 9:31:45, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 2.0182, loss: 2.0182 +2023-12-24 23:01:55,965 - pyskl - INFO - Epoch [85][800/1281] lr: 9.998e-03, eta: 9:31:06, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 1.9948, loss: 1.9948 +2023-12-24 23:02:38,623 - pyskl - INFO - Epoch [85][900/1281] lr: 9.978e-03, eta: 9:30:26, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9219, top5_acc: 0.9994, loss_cls: 2.0460, loss: 2.0460 +2023-12-24 23:03:20,908 - pyskl - INFO - Epoch [85][1000/1281] lr: 9.958e-03, eta: 9:29:46, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 1.9936, loss: 1.9936 +2023-12-24 23:03:47,693 - pyskl - INFO - Epoch [85][1100/1281] lr: 9.937e-03, eta: 9:28:55, time: 0.268, data_time: 0.000, memory: 4130, top1_acc: 0.9319, top5_acc: 0.9988, loss_cls: 2.0032, loss: 2.0032 +2023-12-24 23:04:32,640 - pyskl - INFO - Epoch [85][1200/1281] lr: 9.917e-03, eta: 9:28:17, time: 0.449, data_time: 0.000, memory: 4130, top1_acc: 0.9331, top5_acc: 0.9988, loss_cls: 2.0227, loss: 2.0227 +2023-12-24 23:04:50,439 - pyskl - INFO - Saving checkpoint at 85 epochs +2023-12-24 23:06:03,482 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:06:03,537 - pyskl - INFO - +top1_acc 0.8598 +top5_acc 0.9910 +2023-12-24 23:06:03,537 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:06:03,543 - pyskl - INFO - +mean_acc 0.8029 +2023-12-24 23:06:03,545 - pyskl - INFO - Epoch(val) [85][533] top1_acc: 0.8598, top5_acc: 0.9910, mean_class_accuracy: 0.8029 +2023-12-24 23:07:03,131 - pyskl - INFO - Epoch [86][100/1281] lr: 9.881e-03, eta: 9:26:52, time: 0.596, data_time: 0.170, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 2.0042, loss: 2.0042 +2023-12-24 23:07:45,974 - pyskl - INFO - Epoch [86][200/1281] lr: 9.861e-03, eta: 9:26:12, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9387, top5_acc: 1.0000, loss_cls: 1.9825, loss: 1.9825 +2023-12-24 23:08:29,324 - pyskl - INFO - Epoch [86][300/1281] lr: 9.841e-03, eta: 9:25:33, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 2.0129, loss: 2.0129 +2023-12-24 23:09:12,697 - pyskl - INFO - Epoch [86][400/1281] lr: 9.821e-03, eta: 9:24:54, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9231, top5_acc: 0.9994, loss_cls: 2.0313, loss: 2.0313 +2023-12-24 23:09:56,062 - pyskl - INFO - Epoch [86][500/1281] lr: 9.801e-03, eta: 9:24:15, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 1.9833, loss: 1.9833 +2023-12-24 23:10:39,498 - pyskl - INFO - Epoch [86][600/1281] lr: 9.781e-03, eta: 9:23:36, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 1.9873, loss: 1.9873 +2023-12-24 23:11:22,853 - pyskl - INFO - Epoch [86][700/1281] lr: 9.762e-03, eta: 9:22:57, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 1.9799, loss: 1.9799 +2023-12-24 23:12:06,200 - pyskl - INFO - Epoch [86][800/1281] lr: 9.742e-03, eta: 9:22:18, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9256, top5_acc: 0.9994, loss_cls: 2.0230, loss: 2.0230 +2023-12-24 23:12:49,664 - pyskl - INFO - Epoch [86][900/1281] lr: 9.722e-03, eta: 9:21:39, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9244, top5_acc: 1.0000, loss_cls: 2.0356, loss: 2.0356 +2023-12-24 23:13:32,706 - pyskl - INFO - Epoch [86][1000/1281] lr: 9.702e-03, eta: 9:21:00, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.9294, top5_acc: 0.9988, loss_cls: 2.0291, loss: 2.0291 +2023-12-24 23:13:58,842 - pyskl - INFO - Epoch [86][1100/1281] lr: 9.682e-03, eta: 9:20:08, time: 0.261, data_time: 0.000, memory: 4130, top1_acc: 0.9213, top5_acc: 0.9956, loss_cls: 2.0481, loss: 2.0481 +2023-12-24 23:14:43,840 - pyskl - INFO - Epoch [86][1200/1281] lr: 9.662e-03, eta: 9:19:30, time: 0.450, data_time: 0.000, memory: 4130, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 2.0189, loss: 2.0189 +2023-12-24 23:15:02,081 - pyskl - INFO - Saving checkpoint at 86 epochs +2023-12-24 23:16:15,152 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:16:15,206 - pyskl - INFO - +top1_acc 0.8539 +top5_acc 0.9886 +2023-12-24 23:16:15,206 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:16:15,213 - pyskl - INFO - +mean_acc 0.8027 +2023-12-24 23:16:15,216 - pyskl - INFO - Epoch(val) [86][533] top1_acc: 0.8539, top5_acc: 0.9886, mean_class_accuracy: 0.8027 +2023-12-24 23:17:14,657 - pyskl - INFO - Epoch [87][100/1281] lr: 9.626e-03, eta: 9:18:05, time: 0.594, data_time: 0.168, memory: 4130, top1_acc: 0.9319, top5_acc: 1.0000, loss_cls: 2.0021, loss: 2.0021 +2023-12-24 23:17:57,353 - pyskl - INFO - Epoch [87][200/1281] lr: 9.606e-03, eta: 9:17:25, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 1.9354, loss: 1.9354 +2023-12-24 23:18:39,891 - pyskl - INFO - Epoch [87][300/1281] lr: 9.586e-03, eta: 9:16:46, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 1.9819, loss: 1.9819 +2023-12-24 23:19:22,429 - pyskl - INFO - Epoch [87][400/1281] lr: 9.566e-03, eta: 9:16:06, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9450, top5_acc: 1.0000, loss_cls: 1.9824, loss: 1.9824 +2023-12-24 23:20:04,938 - pyskl - INFO - Epoch [87][500/1281] lr: 9.546e-03, eta: 9:15:26, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 1.9838, loss: 1.9838 +2023-12-24 23:20:47,448 - pyskl - INFO - Epoch [87][600/1281] lr: 9.527e-03, eta: 9:14:47, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 2.0065, loss: 2.0065 +2023-12-24 23:21:30,267 - pyskl - INFO - Epoch [87][700/1281] lr: 9.507e-03, eta: 9:14:07, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 1.9633, loss: 1.9633 +2023-12-24 23:22:13,583 - pyskl - INFO - Epoch [87][800/1281] lr: 9.487e-03, eta: 9:13:28, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9250, top5_acc: 0.9994, loss_cls: 2.0255, loss: 2.0255 +2023-12-24 23:22:56,987 - pyskl - INFO - Epoch [87][900/1281] lr: 9.467e-03, eta: 9:12:49, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9319, top5_acc: 1.0000, loss_cls: 2.0325, loss: 2.0325 +2023-12-24 23:23:40,304 - pyskl - INFO - Epoch [87][1000/1281] lr: 9.447e-03, eta: 9:12:10, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9275, top5_acc: 0.9994, loss_cls: 2.0127, loss: 2.0127 +2023-12-24 23:24:05,630 - pyskl - INFO - Epoch [87][1100/1281] lr: 9.427e-03, eta: 9:11:18, time: 0.253, data_time: 0.001, memory: 4130, top1_acc: 0.9300, top5_acc: 1.0000, loss_cls: 2.0321, loss: 2.0321 +2023-12-24 23:24:50,709 - pyskl - INFO - Epoch [87][1200/1281] lr: 9.408e-03, eta: 9:10:40, time: 0.451, data_time: 0.000, memory: 4130, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 2.0069, loss: 2.0069 +2023-12-24 23:25:10,242 - pyskl - INFO - Saving checkpoint at 87 epochs +2023-12-24 23:26:23,347 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:26:23,402 - pyskl - INFO - +top1_acc 0.8546 +top5_acc 0.9905 +2023-12-24 23:26:23,402 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:26:23,408 - pyskl - INFO - +mean_acc 0.8092 +2023-12-24 23:26:23,410 - pyskl - INFO - Epoch(val) [87][533] top1_acc: 0.8546, top5_acc: 0.9905, mean_class_accuracy: 0.8092 +2023-12-24 23:27:22,587 - pyskl - INFO - Epoch [88][100/1281] lr: 9.372e-03, eta: 9:09:15, time: 0.592, data_time: 0.166, memory: 4130, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 1.9879, loss: 1.9879 +2023-12-24 23:28:05,259 - pyskl - INFO - Epoch [88][200/1281] lr: 9.352e-03, eta: 9:08:35, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9494, top5_acc: 1.0000, loss_cls: 1.9704, loss: 1.9704 +2023-12-24 23:28:47,871 - pyskl - INFO - Epoch [88][300/1281] lr: 9.332e-03, eta: 9:07:56, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 1.9726, loss: 1.9726 +2023-12-24 23:29:30,490 - pyskl - INFO - Epoch [88][400/1281] lr: 9.312e-03, eta: 9:07:16, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9375, top5_acc: 1.0000, loss_cls: 2.0034, loss: 2.0034 +2023-12-24 23:30:13,038 - pyskl - INFO - Epoch [88][500/1281] lr: 9.293e-03, eta: 9:06:36, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 2.0000, loss: 2.0000 +2023-12-24 23:30:55,644 - pyskl - INFO - Epoch [88][600/1281] lr: 9.273e-03, eta: 9:05:57, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9519, top5_acc: 1.0000, loss_cls: 1.9595, loss: 1.9595 +2023-12-24 23:31:38,248 - pyskl - INFO - Epoch [88][700/1281] lr: 9.253e-03, eta: 9:05:17, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9225, top5_acc: 0.9988, loss_cls: 2.0339, loss: 2.0339 +2023-12-24 23:32:20,791 - pyskl - INFO - Epoch [88][800/1281] lr: 9.233e-03, eta: 9:04:37, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 1.9827, loss: 1.9827 +2023-12-24 23:33:03,504 - pyskl - INFO - Epoch [88][900/1281] lr: 9.214e-03, eta: 9:03:58, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 1.9826, loss: 1.9826 +2023-12-24 23:33:46,489 - pyskl - INFO - Epoch [88][1000/1281] lr: 9.194e-03, eta: 9:03:18, time: 0.430, data_time: 0.000, memory: 4130, top1_acc: 0.9450, top5_acc: 0.9994, loss_cls: 1.9841, loss: 1.9841 +2023-12-24 23:34:12,312 - pyskl - INFO - Epoch [88][1100/1281] lr: 9.174e-03, eta: 9:02:27, time: 0.258, data_time: 0.001, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 2.0129, loss: 2.0129 +2023-12-24 23:34:57,188 - pyskl - INFO - Epoch [88][1200/1281] lr: 9.155e-03, eta: 9:01:49, time: 0.449, data_time: 0.000, memory: 4130, top1_acc: 0.9331, top5_acc: 0.9969, loss_cls: 2.0284, loss: 2.0284 +2023-12-24 23:35:17,468 - pyskl - INFO - Saving checkpoint at 88 epochs +2023-12-24 23:36:30,296 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:36:30,351 - pyskl - INFO - +top1_acc 0.8728 +top5_acc 0.9899 +2023-12-24 23:36:30,351 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:36:30,357 - pyskl - INFO - +mean_acc 0.8310 +2023-12-24 23:36:30,359 - pyskl - INFO - Epoch(val) [88][533] top1_acc: 0.8728, top5_acc: 0.9899, mean_class_accuracy: 0.8310 +2023-12-24 23:37:30,519 - pyskl - INFO - Epoch [89][100/1281] lr: 9.119e-03, eta: 9:00:25, time: 0.602, data_time: 0.168, memory: 4130, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 1.9730, loss: 1.9730 +2023-12-24 23:38:13,971 - pyskl - INFO - Epoch [89][200/1281] lr: 9.099e-03, eta: 8:59:46, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 1.9630, loss: 1.9630 +2023-12-24 23:38:57,382 - pyskl - INFO - Epoch [89][300/1281] lr: 9.080e-03, eta: 8:59:07, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9437, top5_acc: 0.9994, loss_cls: 1.9738, loss: 1.9738 +2023-12-24 23:39:40,803 - pyskl - INFO - Epoch [89][400/1281] lr: 9.060e-03, eta: 8:58:28, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9356, top5_acc: 1.0000, loss_cls: 2.0112, loss: 2.0112 +2023-12-24 23:40:24,267 - pyskl - INFO - Epoch [89][500/1281] lr: 9.040e-03, eta: 8:57:48, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 1.9492, loss: 1.9492 +2023-12-24 23:41:07,645 - pyskl - INFO - Epoch [89][600/1281] lr: 9.021e-03, eta: 8:57:09, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 1.9491, loss: 1.9491 +2023-12-24 23:41:50,144 - pyskl - INFO - Epoch [89][700/1281] lr: 9.001e-03, eta: 8:56:30, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 1.9953, loss: 1.9953 +2023-12-24 23:42:32,838 - pyskl - INFO - Epoch [89][800/1281] lr: 8.982e-03, eta: 8:55:50, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9313, top5_acc: 1.0000, loss_cls: 2.0112, loss: 2.0112 +2023-12-24 23:43:15,485 - pyskl - INFO - Epoch [89][900/1281] lr: 8.962e-03, eta: 8:55:10, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 2.0020, loss: 2.0020 +2023-12-24 23:43:58,060 - pyskl - INFO - Epoch [89][1000/1281] lr: 8.942e-03, eta: 8:54:30, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 1.9838, loss: 1.9838 +2023-12-24 23:44:23,020 - pyskl - INFO - Epoch [89][1100/1281] lr: 8.923e-03, eta: 8:53:39, time: 0.250, data_time: 0.000, memory: 4130, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 1.9671, loss: 1.9671 +2023-12-24 23:45:07,907 - pyskl - INFO - Epoch [89][1200/1281] lr: 8.903e-03, eta: 8:53:00, time: 0.449, data_time: 0.000, memory: 4130, top1_acc: 0.9394, top5_acc: 1.0000, loss_cls: 1.9877, loss: 1.9877 +2023-12-24 23:45:29,491 - pyskl - INFO - Saving checkpoint at 89 epochs +2023-12-24 23:46:42,364 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:46:42,419 - pyskl - INFO - +top1_acc 0.8832 +top5_acc 0.9925 +2023-12-24 23:46:42,419 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:46:42,426 - pyskl - INFO - +mean_acc 0.8443 +2023-12-24 23:46:42,427 - pyskl - INFO - Epoch(val) [89][533] top1_acc: 0.8832, top5_acc: 0.9925, mean_class_accuracy: 0.8443 +2023-12-24 23:47:42,733 - pyskl - INFO - Epoch [90][100/1281] lr: 8.868e-03, eta: 8:51:37, time: 0.603, data_time: 0.169, memory: 4130, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 1.9607, loss: 1.9607 +2023-12-24 23:48:25,939 - pyskl - INFO - Epoch [90][200/1281] lr: 8.848e-03, eta: 8:50:58, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 1.9491, loss: 1.9491 +2023-12-24 23:49:08,518 - pyskl - INFO - Epoch [90][300/1281] lr: 8.829e-03, eta: 8:50:18, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.9650, loss: 1.9650 +2023-12-24 23:49:51,173 - pyskl - INFO - Epoch [90][400/1281] lr: 8.809e-03, eta: 8:49:38, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.9440, loss: 1.9440 +2023-12-24 23:50:33,797 - pyskl - INFO - Epoch [90][500/1281] lr: 8.790e-03, eta: 8:48:59, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 1.9618, loss: 1.9618 +2023-12-24 23:51:16,446 - pyskl - INFO - Epoch [90][600/1281] lr: 8.770e-03, eta: 8:48:19, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9394, top5_acc: 0.9994, loss_cls: 1.9975, loss: 1.9975 +2023-12-24 23:51:59,112 - pyskl - INFO - Epoch [90][700/1281] lr: 8.751e-03, eta: 8:47:39, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 1.9810, loss: 1.9810 +2023-12-24 23:52:41,806 - pyskl - INFO - Epoch [90][800/1281] lr: 8.731e-03, eta: 8:47:00, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9306, top5_acc: 0.9994, loss_cls: 2.0073, loss: 2.0073 +2023-12-24 23:53:24,507 - pyskl - INFO - Epoch [90][900/1281] lr: 8.712e-03, eta: 8:46:20, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9369, top5_acc: 1.0000, loss_cls: 1.9867, loss: 1.9867 +2023-12-24 23:54:07,190 - pyskl - INFO - Epoch [90][1000/1281] lr: 8.692e-03, eta: 8:45:40, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9381, top5_acc: 1.0000, loss_cls: 1.9984, loss: 1.9984 +2023-12-24 23:54:31,721 - pyskl - INFO - Epoch [90][1100/1281] lr: 8.673e-03, eta: 8:44:49, time: 0.245, data_time: 0.000, memory: 4130, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 2.0377, loss: 2.0377 +2023-12-24 23:55:16,504 - pyskl - INFO - Epoch [90][1200/1281] lr: 8.653e-03, eta: 8:44:10, time: 0.448, data_time: 0.000, memory: 4130, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 1.9782, loss: 1.9782 +2023-12-24 23:55:40,332 - pyskl - INFO - Saving checkpoint at 90 epochs +2023-12-24 23:56:53,668 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-24 23:56:53,729 - pyskl - INFO - +top1_acc 0.8799 +top5_acc 0.9932 +2023-12-24 23:56:53,729 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-24 23:56:53,739 - pyskl - INFO - +mean_acc 0.8475 +2023-12-24 23:56:53,743 - pyskl - INFO - Epoch(val) [90][533] top1_acc: 0.8799, top5_acc: 0.9932, mean_class_accuracy: 0.8475 +2023-12-24 23:57:53,733 - pyskl - INFO - Epoch [91][100/1281] lr: 8.618e-03, eta: 8:42:47, time: 0.600, data_time: 0.174, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 2.0021, loss: 2.0021 +2023-12-24 23:58:36,284 - pyskl - INFO - Epoch [91][200/1281] lr: 8.599e-03, eta: 8:42:07, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9537, top5_acc: 1.0000, loss_cls: 1.9594, loss: 1.9594 +2023-12-24 23:59:18,895 - pyskl - INFO - Epoch [91][300/1281] lr: 8.579e-03, eta: 8:41:28, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9331, top5_acc: 1.0000, loss_cls: 2.0076, loss: 2.0076 +2023-12-25 00:00:01,598 - pyskl - INFO - Epoch [91][400/1281] lr: 8.560e-03, eta: 8:40:48, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9450, top5_acc: 1.0000, loss_cls: 1.9806, loss: 1.9806 +2023-12-25 00:00:44,111 - pyskl - INFO - Epoch [91][500/1281] lr: 8.540e-03, eta: 8:40:08, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 1.9977, loss: 1.9977 +2023-12-25 00:01:26,649 - pyskl - INFO - Epoch [91][600/1281] lr: 8.521e-03, eta: 8:39:28, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 1.9279, loss: 1.9279 +2023-12-25 00:02:09,297 - pyskl - INFO - Epoch [91][700/1281] lr: 8.502e-03, eta: 8:38:49, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 1.9582, loss: 1.9582 +2023-12-25 00:02:52,030 - pyskl - INFO - Epoch [91][800/1281] lr: 8.482e-03, eta: 8:38:09, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 2.0239, loss: 2.0239 +2023-12-25 00:03:34,707 - pyskl - INFO - Epoch [91][900/1281] lr: 8.463e-03, eta: 8:37:29, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9425, top5_acc: 1.0000, loss_cls: 1.9891, loss: 1.9891 +2023-12-25 00:04:17,379 - pyskl - INFO - Epoch [91][1000/1281] lr: 8.444e-03, eta: 8:36:50, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 2.0158, loss: 2.0158 +2023-12-25 00:04:43,098 - pyskl - INFO - Epoch [91][1100/1281] lr: 8.424e-03, eta: 8:35:59, time: 0.257, data_time: 0.000, memory: 4130, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 2.0107, loss: 2.0107 +2023-12-25 00:05:28,105 - pyskl - INFO - Epoch [91][1200/1281] lr: 8.405e-03, eta: 8:35:21, time: 0.450, data_time: 0.000, memory: 4130, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 1.9719, loss: 1.9719 +2023-12-25 00:05:51,364 - pyskl - INFO - Saving checkpoint at 91 epochs +2023-12-25 00:07:04,665 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:07:04,737 - pyskl - INFO - +top1_acc 0.8817 +top5_acc 0.9932 +2023-12-25 00:07:04,737 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:07:04,749 - pyskl - INFO - +mean_acc 0.8373 +2023-12-25 00:07:04,752 - pyskl - INFO - Epoch(val) [91][533] top1_acc: 0.8817, top5_acc: 0.9932, mean_class_accuracy: 0.8373 +2023-12-25 00:08:05,378 - pyskl - INFO - Epoch [92][100/1281] lr: 8.370e-03, eta: 8:33:58, time: 0.606, data_time: 0.172, memory: 4130, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 1.9531, loss: 1.9531 +2023-12-25 00:08:48,961 - pyskl - INFO - Epoch [92][200/1281] lr: 8.351e-03, eta: 8:33:19, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 1.9391, loss: 1.9391 +2023-12-25 00:09:32,415 - pyskl - INFO - Epoch [92][300/1281] lr: 8.332e-03, eta: 8:32:40, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.9552, loss: 1.9552 +2023-12-25 00:10:15,742 - pyskl - INFO - Epoch [92][400/1281] lr: 8.312e-03, eta: 8:32:00, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 1.9835, loss: 1.9835 +2023-12-25 00:10:59,136 - pyskl - INFO - Epoch [92][500/1281] lr: 8.293e-03, eta: 8:31:21, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 1.9932, loss: 1.9932 +2023-12-25 00:11:42,560 - pyskl - INFO - Epoch [92][600/1281] lr: 8.274e-03, eta: 8:30:42, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 1.9684, loss: 1.9684 +2023-12-25 00:12:26,045 - pyskl - INFO - Epoch [92][700/1281] lr: 8.255e-03, eta: 8:30:03, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 2.0079, loss: 2.0079 +2023-12-25 00:13:09,134 - pyskl - INFO - Epoch [92][800/1281] lr: 8.235e-03, eta: 8:29:23, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 1.9762, loss: 1.9762 +2023-12-25 00:13:51,928 - pyskl - INFO - Epoch [92][900/1281] lr: 8.216e-03, eta: 8:28:44, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 1.9794, loss: 1.9794 +2023-12-25 00:14:35,341 - pyskl - INFO - Epoch [92][1000/1281] lr: 8.197e-03, eta: 8:28:04, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 1.9783, loss: 1.9783 +2023-12-25 00:15:01,005 - pyskl - INFO - Epoch [92][1100/1281] lr: 8.178e-03, eta: 8:27:14, time: 0.257, data_time: 0.000, memory: 4130, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 1.9740, loss: 1.9740 +2023-12-25 00:15:45,354 - pyskl - INFO - Epoch [92][1200/1281] lr: 8.159e-03, eta: 8:26:35, time: 0.443, data_time: 0.000, memory: 4130, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 1.9883, loss: 1.9883 +2023-12-25 00:16:09,367 - pyskl - INFO - Saving checkpoint at 92 epochs +2023-12-25 00:17:22,531 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:17:22,586 - pyskl - INFO - +top1_acc 0.8792 +top5_acc 0.9901 +2023-12-25 00:17:22,586 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:17:22,593 - pyskl - INFO - +mean_acc 0.8287 +2023-12-25 00:17:22,595 - pyskl - INFO - Epoch(val) [92][533] top1_acc: 0.8792, top5_acc: 0.9901, mean_class_accuracy: 0.8287 +2023-12-25 00:18:22,922 - pyskl - INFO - Epoch [93][100/1281] lr: 8.124e-03, eta: 8:25:13, time: 0.603, data_time: 0.170, memory: 4130, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.9303, loss: 1.9303 +2023-12-25 00:19:06,056 - pyskl - INFO - Epoch [93][200/1281] lr: 8.105e-03, eta: 8:24:33, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 1.9655, loss: 1.9655 +2023-12-25 00:19:48,670 - pyskl - INFO - Epoch [93][300/1281] lr: 8.086e-03, eta: 8:23:54, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 1.9462, loss: 1.9462 +2023-12-25 00:20:31,335 - pyskl - INFO - Epoch [93][400/1281] lr: 8.067e-03, eta: 8:23:14, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.9272, loss: 1.9272 +2023-12-25 00:21:13,886 - pyskl - INFO - Epoch [93][500/1281] lr: 8.047e-03, eta: 8:22:34, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 1.9472, loss: 1.9472 +2023-12-25 00:21:56,574 - pyskl - INFO - Epoch [93][600/1281] lr: 8.028e-03, eta: 8:21:54, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.9278, loss: 1.9278 +2023-12-25 00:22:39,305 - pyskl - INFO - Epoch [93][700/1281] lr: 8.009e-03, eta: 8:21:15, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 1.9475, loss: 1.9475 +2023-12-25 00:23:21,963 - pyskl - INFO - Epoch [93][800/1281] lr: 7.990e-03, eta: 8:20:35, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 1.9677, loss: 1.9677 +2023-12-25 00:24:04,682 - pyskl - INFO - Epoch [93][900/1281] lr: 7.971e-03, eta: 8:19:55, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9356, top5_acc: 0.9994, loss_cls: 2.0026, loss: 2.0026 +2023-12-25 00:24:47,316 - pyskl - INFO - Epoch [93][1000/1281] lr: 7.952e-03, eta: 8:19:15, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 1.9823, loss: 1.9823 +2023-12-25 00:25:14,588 - pyskl - INFO - Epoch [93][1100/1281] lr: 7.933e-03, eta: 8:18:26, time: 0.273, data_time: 0.000, memory: 4130, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 1.9852, loss: 1.9852 +2023-12-25 00:25:57,404 - pyskl - INFO - Epoch [93][1200/1281] lr: 7.914e-03, eta: 8:17:46, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 1.9979, loss: 1.9979 +2023-12-25 00:26:23,189 - pyskl - INFO - Saving checkpoint at 93 epochs +2023-12-25 00:27:36,272 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:27:36,327 - pyskl - INFO - +top1_acc 0.8909 +top5_acc 0.9939 +2023-12-25 00:27:36,327 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:27:36,334 - pyskl - INFO - +mean_acc 0.8406 +2023-12-25 00:27:36,338 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_80.pth was removed +2023-12-25 00:27:36,559 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. +2023-12-25 00:27:36,560 - pyskl - INFO - Best top1_acc is 0.8909 at 93 epoch. +2023-12-25 00:27:36,562 - pyskl - INFO - Epoch(val) [93][533] top1_acc: 0.8909, top5_acc: 0.9939, mean_class_accuracy: 0.8406 +2023-12-25 00:28:36,344 - pyskl - INFO - Epoch [94][100/1281] lr: 7.880e-03, eta: 8:16:24, time: 0.598, data_time: 0.173, memory: 4130, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.9254, loss: 1.9254 +2023-12-25 00:29:18,896 - pyskl - INFO - Epoch [94][200/1281] lr: 7.861e-03, eta: 8:15:44, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 1.9676, loss: 1.9676 +2023-12-25 00:30:01,543 - pyskl - INFO - Epoch [94][300/1281] lr: 7.842e-03, eta: 8:15:04, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.9437, loss: 1.9437 +2023-12-25 00:30:44,138 - pyskl - INFO - Epoch [94][400/1281] lr: 7.823e-03, eta: 8:14:24, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 1.9488, loss: 1.9488 +2023-12-25 00:31:26,692 - pyskl - INFO - Epoch [94][500/1281] lr: 7.804e-03, eta: 8:13:45, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 1.9428, loss: 1.9428 +2023-12-25 00:32:09,903 - pyskl - INFO - Epoch [94][600/1281] lr: 7.785e-03, eta: 8:13:05, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 1.9661, loss: 1.9661 +2023-12-25 00:32:52,805 - pyskl - INFO - Epoch [94][700/1281] lr: 7.766e-03, eta: 8:12:26, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 1.9810, loss: 1.9810 +2023-12-25 00:33:35,338 - pyskl - INFO - Epoch [94][800/1281] lr: 7.747e-03, eta: 8:11:46, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.9448, loss: 1.9448 +2023-12-25 00:34:17,960 - pyskl - INFO - Epoch [94][900/1281] lr: 7.728e-03, eta: 8:11:06, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9425, top5_acc: 0.9994, loss_cls: 1.9924, loss: 1.9924 +2023-12-25 00:35:00,624 - pyskl - INFO - Epoch [94][1000/1281] lr: 7.709e-03, eta: 8:10:26, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 1.9749, loss: 1.9749 +2023-12-25 00:35:27,176 - pyskl - INFO - Epoch [94][1100/1281] lr: 7.690e-03, eta: 8:09:37, time: 0.266, data_time: 0.000, memory: 4130, top1_acc: 0.9463, top5_acc: 0.9994, loss_cls: 1.9733, loss: 1.9733 +2023-12-25 00:36:10,457 - pyskl - INFO - Epoch [94][1200/1281] lr: 7.672e-03, eta: 8:08:57, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9363, top5_acc: 1.0000, loss_cls: 1.9985, loss: 1.9985 +2023-12-25 00:36:35,815 - pyskl - INFO - Saving checkpoint at 94 epochs +2023-12-25 00:37:49,626 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:37:49,680 - pyskl - INFO - +top1_acc 0.8774 +top5_acc 0.9931 +2023-12-25 00:37:49,681 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:37:49,687 - pyskl - INFO - +mean_acc 0.8336 +2023-12-25 00:37:49,689 - pyskl - INFO - Epoch(val) [94][533] top1_acc: 0.8774, top5_acc: 0.9931, mean_class_accuracy: 0.8336 +2023-12-25 00:38:49,615 - pyskl - INFO - Epoch [95][100/1281] lr: 7.637e-03, eta: 8:07:35, time: 0.599, data_time: 0.166, memory: 4130, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 1.9740, loss: 1.9740 +2023-12-25 00:39:33,025 - pyskl - INFO - Epoch [95][200/1281] lr: 7.619e-03, eta: 8:06:56, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.9256, loss: 1.9256 +2023-12-25 00:40:16,450 - pyskl - INFO - Epoch [95][300/1281] lr: 7.600e-03, eta: 8:06:16, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.9629, loss: 1.9629 +2023-12-25 00:40:59,826 - pyskl - INFO - Epoch [95][400/1281] lr: 7.581e-03, eta: 8:05:37, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.9516, loss: 1.9516 +2023-12-25 00:41:43,242 - pyskl - INFO - Epoch [95][500/1281] lr: 7.562e-03, eta: 8:04:58, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 1.9618, loss: 1.9618 +2023-12-25 00:42:26,686 - pyskl - INFO - Epoch [95][600/1281] lr: 7.543e-03, eta: 8:04:18, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.9646, loss: 1.9646 +2023-12-25 00:43:10,141 - pyskl - INFO - Epoch [95][700/1281] lr: 7.525e-03, eta: 8:03:39, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 1.9637, loss: 1.9637 +2023-12-25 00:43:53,493 - pyskl - INFO - Epoch [95][800/1281] lr: 7.506e-03, eta: 8:03:00, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 1.9507, loss: 1.9507 +2023-12-25 00:44:36,861 - pyskl - INFO - Epoch [95][900/1281] lr: 7.487e-03, eta: 8:02:20, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 1.9462, loss: 1.9462 +2023-12-25 00:45:20,282 - pyskl - INFO - Epoch [95][1000/1281] lr: 7.468e-03, eta: 8:01:41, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 1.9670, loss: 1.9670 +2023-12-25 00:45:47,625 - pyskl - INFO - Epoch [95][1100/1281] lr: 7.450e-03, eta: 8:00:52, time: 0.273, data_time: 0.000, memory: 4130, top1_acc: 0.9525, top5_acc: 1.0000, loss_cls: 1.9536, loss: 1.9536 +2023-12-25 00:46:29,889 - pyskl - INFO - Epoch [95][1200/1281] lr: 7.431e-03, eta: 8:00:12, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 1.9920, loss: 1.9920 +2023-12-25 00:46:56,153 - pyskl - INFO - Saving checkpoint at 95 epochs +2023-12-25 00:48:09,416 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:48:09,473 - pyskl - INFO - +top1_acc 0.8822 +top5_acc 0.9904 +2023-12-25 00:48:09,473 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:48:09,480 - pyskl - INFO - +mean_acc 0.8333 +2023-12-25 00:48:09,482 - pyskl - INFO - Epoch(val) [95][533] top1_acc: 0.8822, top5_acc: 0.9904, mean_class_accuracy: 0.8333 +2023-12-25 00:49:09,230 - pyskl - INFO - Epoch [96][100/1281] lr: 7.397e-03, eta: 7:58:50, time: 0.597, data_time: 0.171, memory: 4130, top1_acc: 0.9431, top5_acc: 1.0000, loss_cls: 1.9787, loss: 1.9787 +2023-12-25 00:49:51,767 - pyskl - INFO - Epoch [96][200/1281] lr: 7.379e-03, eta: 7:58:10, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.9293, loss: 1.9293 +2023-12-25 00:50:34,422 - pyskl - INFO - Epoch [96][300/1281] lr: 7.360e-03, eta: 7:57:30, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 1.9497, loss: 1.9497 +2023-12-25 00:51:17,107 - pyskl - INFO - Epoch [96][400/1281] lr: 7.341e-03, eta: 7:56:51, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 1.9523, loss: 1.9523 +2023-12-25 00:51:59,594 - pyskl - INFO - Epoch [96][500/1281] lr: 7.323e-03, eta: 7:56:11, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 1.9794, loss: 1.9794 +2023-12-25 00:52:42,324 - pyskl - INFO - Epoch [96][600/1281] lr: 7.304e-03, eta: 7:55:31, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 1.9606, loss: 1.9606 +2023-12-25 00:53:24,870 - pyskl - INFO - Epoch [96][700/1281] lr: 7.286e-03, eta: 7:54:51, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 1.9677, loss: 1.9677 +2023-12-25 00:54:07,564 - pyskl - INFO - Epoch [96][800/1281] lr: 7.267e-03, eta: 7:54:11, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.9510, loss: 1.9510 +2023-12-25 00:54:50,123 - pyskl - INFO - Epoch [96][900/1281] lr: 7.249e-03, eta: 7:53:31, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.9310, loss: 1.9310 +2023-12-25 00:55:32,721 - pyskl - INFO - Epoch [96][1000/1281] lr: 7.230e-03, eta: 7:52:52, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9400, top5_acc: 0.9994, loss_cls: 1.9874, loss: 1.9874 +2023-12-25 00:56:00,361 - pyskl - INFO - Epoch [96][1100/1281] lr: 7.211e-03, eta: 7:52:03, time: 0.276, data_time: 0.001, memory: 4130, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 1.9802, loss: 1.9802 +2023-12-25 00:56:42,594 - pyskl - INFO - Epoch [96][1200/1281] lr: 7.193e-03, eta: 7:51:23, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.9463, top5_acc: 1.0000, loss_cls: 1.9814, loss: 1.9814 +2023-12-25 00:57:08,911 - pyskl - INFO - Saving checkpoint at 96 epochs +2023-12-25 00:58:22,514 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 00:58:22,574 - pyskl - INFO - +top1_acc 0.8804 +top5_acc 0.9933 +2023-12-25 00:58:22,574 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 00:58:22,582 - pyskl - INFO - +mean_acc 0.8349 +2023-12-25 00:58:22,584 - pyskl - INFO - Epoch(val) [96][533] top1_acc: 0.8804, top5_acc: 0.9933, mean_class_accuracy: 0.8349 +2023-12-25 00:59:22,424 - pyskl - INFO - Epoch [97][100/1281] lr: 7.159e-03, eta: 7:50:01, time: 0.598, data_time: 0.168, memory: 4130, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.9221, loss: 1.9221 +2023-12-25 01:00:05,005 - pyskl - INFO - Epoch [97][200/1281] lr: 7.141e-03, eta: 7:49:22, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 1.9650, loss: 1.9650 +2023-12-25 01:00:47,634 - pyskl - INFO - Epoch [97][300/1281] lr: 7.123e-03, eta: 7:48:42, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.9672, loss: 1.9672 +2023-12-25 01:01:30,206 - pyskl - INFO - Epoch [97][400/1281] lr: 7.104e-03, eta: 7:48:02, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 1.9492, loss: 1.9492 +2023-12-25 01:02:12,967 - pyskl - INFO - Epoch [97][500/1281] lr: 7.086e-03, eta: 7:47:22, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.9398, loss: 1.9398 +2023-12-25 01:02:55,621 - pyskl - INFO - Epoch [97][600/1281] lr: 7.067e-03, eta: 7:46:42, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.9505, loss: 1.9505 +2023-12-25 01:03:38,445 - pyskl - INFO - Epoch [97][700/1281] lr: 7.049e-03, eta: 7:46:03, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.9366, loss: 1.9366 +2023-12-25 01:04:21,023 - pyskl - INFO - Epoch [97][800/1281] lr: 7.030e-03, eta: 7:45:23, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 1.9455, loss: 1.9455 +2023-12-25 01:05:03,721 - pyskl - INFO - Epoch [97][900/1281] lr: 7.012e-03, eta: 7:44:43, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.9513, loss: 1.9513 +2023-12-25 01:05:46,236 - pyskl - INFO - Epoch [97][1000/1281] lr: 6.994e-03, eta: 7:44:03, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.9170, loss: 1.9170 +2023-12-25 01:06:14,287 - pyskl - INFO - Epoch [97][1100/1281] lr: 6.975e-03, eta: 7:43:15, time: 0.280, data_time: 0.000, memory: 4130, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.9641, loss: 1.9641 +2023-12-25 01:06:56,523 - pyskl - INFO - Epoch [97][1200/1281] lr: 6.957e-03, eta: 7:42:35, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 0.9556, top5_acc: 1.0000, loss_cls: 1.9510, loss: 1.9510 +2023-12-25 01:07:22,871 - pyskl - INFO - Saving checkpoint at 97 epochs +2023-12-25 01:08:36,104 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 01:08:36,158 - pyskl - INFO - +top1_acc 0.8842 +top5_acc 0.9939 +2023-12-25 01:08:36,159 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 01:08:36,165 - pyskl - INFO - +mean_acc 0.8505 +2023-12-25 01:08:36,167 - pyskl - INFO - Epoch(val) [97][533] top1_acc: 0.8842, top5_acc: 0.9939, mean_class_accuracy: 0.8505 +2023-12-25 01:09:35,654 - pyskl - INFO - Epoch [98][100/1281] lr: 6.924e-03, eta: 7:41:13, time: 0.595, data_time: 0.168, memory: 4130, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.9287, loss: 1.9287 +2023-12-25 01:10:19,084 - pyskl - INFO - Epoch [98][200/1281] lr: 6.906e-03, eta: 7:40:34, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.9321, loss: 1.9321 +2023-12-25 01:11:02,526 - pyskl - INFO - Epoch [98][300/1281] lr: 6.887e-03, eta: 7:39:54, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.9296, loss: 1.9296 +2023-12-25 01:11:45,981 - pyskl - INFO - Epoch [98][400/1281] lr: 6.869e-03, eta: 7:39:15, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.9331, loss: 1.9331 +2023-12-25 01:12:29,539 - pyskl - INFO - Epoch [98][500/1281] lr: 6.851e-03, eta: 7:38:36, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 1.9491, loss: 1.9491 +2023-12-25 01:13:12,890 - pyskl - INFO - Epoch [98][600/1281] lr: 6.833e-03, eta: 7:37:56, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 1.9493, loss: 1.9493 +2023-12-25 01:13:55,558 - pyskl - INFO - Epoch [98][700/1281] lr: 6.814e-03, eta: 7:37:16, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 1.9743, loss: 1.9743 +2023-12-25 01:14:38,250 - pyskl - INFO - Epoch [98][800/1281] lr: 6.796e-03, eta: 7:36:37, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.9416, loss: 1.9416 +2023-12-25 01:15:20,953 - pyskl - INFO - Epoch [98][900/1281] lr: 6.778e-03, eta: 7:35:57, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 1.9571, loss: 1.9571 +2023-12-25 01:16:03,461 - pyskl - INFO - Epoch [98][1000/1281] lr: 6.760e-03, eta: 7:35:17, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 1.9471, loss: 1.9471 +2023-12-25 01:16:32,217 - pyskl - INFO - Epoch [98][1100/1281] lr: 6.742e-03, eta: 7:34:29, time: 0.288, data_time: 0.000, memory: 4130, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 1.9748, loss: 1.9748 +2023-12-25 01:17:13,043 - pyskl - INFO - Epoch [98][1200/1281] lr: 6.724e-03, eta: 7:33:49, time: 0.408, data_time: 0.000, memory: 4130, top1_acc: 0.9487, top5_acc: 1.0000, loss_cls: 1.9746, loss: 1.9746 +2023-12-25 01:17:40,597 - pyskl - INFO - Saving checkpoint at 98 epochs +2023-12-25 01:18:53,870 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 01:18:53,943 - pyskl - INFO - +top1_acc 0.8856 +top5_acc 0.9921 +2023-12-25 01:18:53,943 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 01:18:53,953 - pyskl - INFO - +mean_acc 0.8538 +2023-12-25 01:18:53,956 - pyskl - INFO - Epoch(val) [98][533] top1_acc: 0.8856, top5_acc: 0.9921, mean_class_accuracy: 0.8538 +2023-12-25 01:19:54,513 - pyskl - INFO - Epoch [99][100/1281] lr: 6.691e-03, eta: 7:32:28, time: 0.605, data_time: 0.171, memory: 4130, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.9280, loss: 1.9280 +2023-12-25 01:20:37,839 - pyskl - INFO - Epoch [99][200/1281] lr: 6.673e-03, eta: 7:31:48, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9143, loss: 1.9143 +2023-12-25 01:21:21,268 - pyskl - INFO - Epoch [99][300/1281] lr: 6.655e-03, eta: 7:31:09, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 1.9246, loss: 1.9246 +2023-12-25 01:22:04,762 - pyskl - INFO - Epoch [99][400/1281] lr: 6.637e-03, eta: 7:30:29, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.9391, loss: 1.9391 +2023-12-25 01:22:48,199 - pyskl - INFO - Epoch [99][500/1281] lr: 6.619e-03, eta: 7:29:50, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.9311, loss: 1.9311 +2023-12-25 01:23:31,617 - pyskl - INFO - Epoch [99][600/1281] lr: 6.601e-03, eta: 7:29:10, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.9399, loss: 1.9399 +2023-12-25 01:24:14,932 - pyskl - INFO - Epoch [99][700/1281] lr: 6.583e-03, eta: 7:28:31, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.9413, loss: 1.9413 +2023-12-25 01:24:58,373 - pyskl - INFO - Epoch [99][800/1281] lr: 6.565e-03, eta: 7:27:51, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.9083, loss: 1.9083 +2023-12-25 01:25:41,503 - pyskl - INFO - Epoch [99][900/1281] lr: 6.547e-03, eta: 7:27:12, time: 0.431, data_time: 0.000, memory: 4130, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 1.9529, loss: 1.9529 +2023-12-25 01:26:24,208 - pyskl - INFO - Epoch [99][1000/1281] lr: 6.529e-03, eta: 7:26:32, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9613, top5_acc: 1.0000, loss_cls: 1.9422, loss: 1.9422 +2023-12-25 01:26:53,522 - pyskl - INFO - Epoch [99][1100/1281] lr: 6.511e-03, eta: 7:25:45, time: 0.293, data_time: 0.001, memory: 4130, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 1.9553, loss: 1.9553 +2023-12-25 01:27:33,814 - pyskl - INFO - Epoch [99][1200/1281] lr: 6.493e-03, eta: 7:25:04, time: 0.403, data_time: 0.000, memory: 4130, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 1.9518, loss: 1.9518 +2023-12-25 01:28:02,047 - pyskl - INFO - Saving checkpoint at 99 epochs +2023-12-25 01:29:15,356 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 01:29:15,412 - pyskl - INFO - +top1_acc 0.8821 +top5_acc 0.9934 +2023-12-25 01:29:15,412 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 01:29:15,419 - pyskl - INFO - +mean_acc 0.8511 +2023-12-25 01:29:15,421 - pyskl - INFO - Epoch(val) [99][533] top1_acc: 0.8821, top5_acc: 0.9934, mean_class_accuracy: 0.8511 +2023-12-25 01:30:14,899 - pyskl - INFO - Epoch [100][100/1281] lr: 6.460e-03, eta: 7:23:43, time: 0.595, data_time: 0.171, memory: 4130, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.9195, loss: 1.9195 +2023-12-25 01:30:57,523 - pyskl - INFO - Epoch [100][200/1281] lr: 6.442e-03, eta: 7:23:03, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.9046, loss: 1.9046 +2023-12-25 01:31:40,189 - pyskl - INFO - Epoch [100][300/1281] lr: 6.425e-03, eta: 7:22:23, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.9057, loss: 1.9057 +2023-12-25 01:32:23,009 - pyskl - INFO - Epoch [100][400/1281] lr: 6.407e-03, eta: 7:21:43, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9182, loss: 1.9182 +2023-12-25 01:33:06,407 - pyskl - INFO - Epoch [100][500/1281] lr: 6.389e-03, eta: 7:21:04, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.9310, loss: 1.9310 +2023-12-25 01:33:49,859 - pyskl - INFO - Epoch [100][600/1281] lr: 6.371e-03, eta: 7:20:24, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 1.9467, loss: 1.9467 +2023-12-25 01:34:33,026 - pyskl - INFO - Epoch [100][700/1281] lr: 6.353e-03, eta: 7:19:45, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9232, loss: 1.9232 +2023-12-25 01:35:16,618 - pyskl - INFO - Epoch [100][800/1281] lr: 6.336e-03, eta: 7:19:05, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.9307, loss: 1.9307 +2023-12-25 01:36:00,048 - pyskl - INFO - Epoch [100][900/1281] lr: 6.318e-03, eta: 7:18:26, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9147, loss: 1.9147 +2023-12-25 01:36:42,710 - pyskl - INFO - Epoch [100][1000/1281] lr: 6.300e-03, eta: 7:17:46, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 1.9515, loss: 1.9515 +2023-12-25 01:37:13,115 - pyskl - INFO - Epoch [100][1100/1281] lr: 6.282e-03, eta: 7:17:00, time: 0.304, data_time: 0.000, memory: 4130, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 1.9543, loss: 1.9543 +2023-12-25 01:37:52,161 - pyskl - INFO - Epoch [100][1200/1281] lr: 6.265e-03, eta: 7:16:18, time: 0.390, data_time: 0.001, memory: 4130, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 1.9774, loss: 1.9774 +2023-12-25 01:38:21,567 - pyskl - INFO - Saving checkpoint at 100 epochs +2023-12-25 01:39:34,847 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 01:39:34,914 - pyskl - INFO - +top1_acc 0.8805 +top5_acc 0.9925 +2023-12-25 01:39:34,915 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 01:39:34,923 - pyskl - INFO - +mean_acc 0.8368 +2023-12-25 01:39:34,924 - pyskl - INFO - Epoch(val) [100][533] top1_acc: 0.8805, top5_acc: 0.9925, mean_class_accuracy: 0.8368 +2023-12-25 01:40:35,236 - pyskl - INFO - Epoch [101][100/1281] lr: 6.232e-03, eta: 7:14:57, time: 0.603, data_time: 0.169, memory: 4130, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9300, loss: 1.9300 +2023-12-25 01:41:18,600 - pyskl - INFO - Epoch [101][200/1281] lr: 6.215e-03, eta: 7:14:18, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.9245, loss: 1.9245 +2023-12-25 01:42:02,033 - pyskl - INFO - Epoch [101][300/1281] lr: 6.197e-03, eta: 7:13:38, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.9252, loss: 1.9252 +2023-12-25 01:42:45,416 - pyskl - INFO - Epoch [101][400/1281] lr: 6.180e-03, eta: 7:12:59, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.9267, loss: 1.9267 +2023-12-25 01:43:27,957 - pyskl - INFO - Epoch [101][500/1281] lr: 6.162e-03, eta: 7:12:19, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.9288, loss: 1.9288 +2023-12-25 01:44:10,511 - pyskl - INFO - Epoch [101][600/1281] lr: 6.144e-03, eta: 7:11:39, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.9308, loss: 1.9308 +2023-12-25 01:44:53,164 - pyskl - INFO - Epoch [101][700/1281] lr: 6.127e-03, eta: 7:10:59, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.9431, loss: 1.9431 +2023-12-25 01:45:35,766 - pyskl - INFO - Epoch [101][800/1281] lr: 6.109e-03, eta: 7:10:19, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 1.9434, loss: 1.9434 +2023-12-25 01:46:18,257 - pyskl - INFO - Epoch [101][900/1281] lr: 6.092e-03, eta: 7:09:39, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.9257, loss: 1.9257 +2023-12-25 01:47:00,834 - pyskl - INFO - Epoch [101][1000/1281] lr: 6.074e-03, eta: 7:08:59, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.9412, loss: 1.9412 +2023-12-25 01:47:31,926 - pyskl - INFO - Epoch [101][1100/1281] lr: 6.057e-03, eta: 7:08:13, time: 0.311, data_time: 0.000, memory: 4130, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 1.9608, loss: 1.9608 +2023-12-25 01:48:10,380 - pyskl - INFO - Epoch [101][1200/1281] lr: 6.039e-03, eta: 7:07:31, time: 0.385, data_time: 0.000, memory: 4130, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.9351, loss: 1.9351 +2023-12-25 01:48:40,637 - pyskl - INFO - Saving checkpoint at 101 epochs +2023-12-25 01:49:54,398 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 01:49:54,453 - pyskl - INFO - +top1_acc 0.8699 +top5_acc 0.9871 +2023-12-25 01:49:54,453 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 01:49:54,460 - pyskl - INFO - +mean_acc 0.8265 +2023-12-25 01:49:54,462 - pyskl - INFO - Epoch(val) [101][533] top1_acc: 0.8699, top5_acc: 0.9871, mean_class_accuracy: 0.8265 +2023-12-25 01:50:54,656 - pyskl - INFO - Epoch [102][100/1281] lr: 6.007e-03, eta: 7:06:11, time: 0.602, data_time: 0.173, memory: 4130, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 1.9601, loss: 1.9601 +2023-12-25 01:51:37,283 - pyskl - INFO - Epoch [102][200/1281] lr: 5.990e-03, eta: 7:05:31, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.9070, loss: 1.9070 +2023-12-25 01:52:20,665 - pyskl - INFO - Epoch [102][300/1281] lr: 5.972e-03, eta: 7:04:51, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.9420, loss: 1.9420 +2023-12-25 01:53:04,130 - pyskl - INFO - Epoch [102][400/1281] lr: 5.955e-03, eta: 7:04:12, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.9412, loss: 1.9412 +2023-12-25 01:53:47,465 - pyskl - INFO - Epoch [102][500/1281] lr: 5.938e-03, eta: 7:03:32, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.9312, loss: 1.9312 +2023-12-25 01:54:30,863 - pyskl - INFO - Epoch [102][600/1281] lr: 5.920e-03, eta: 7:02:53, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 1.9372, loss: 1.9372 +2023-12-25 01:55:14,333 - pyskl - INFO - Epoch [102][700/1281] lr: 5.903e-03, eta: 7:02:13, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 1.9409, loss: 1.9409 +2023-12-25 01:55:57,750 - pyskl - INFO - Epoch [102][800/1281] lr: 5.886e-03, eta: 7:01:34, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.9469, loss: 1.9469 +2023-12-25 01:56:41,182 - pyskl - INFO - Epoch [102][900/1281] lr: 5.868e-03, eta: 7:00:54, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.9415, loss: 1.9415 +2023-12-25 01:57:24,559 - pyskl - INFO - Epoch [102][1000/1281] lr: 5.851e-03, eta: 7:00:14, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9392, loss: 1.9392 +2023-12-25 01:57:56,479 - pyskl - INFO - Epoch [102][1100/1281] lr: 5.834e-03, eta: 6:59:29, time: 0.319, data_time: 0.001, memory: 4130, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8933, loss: 1.8933 +2023-12-25 01:58:35,420 - pyskl - INFO - Epoch [102][1200/1281] lr: 5.816e-03, eta: 6:58:48, time: 0.389, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.9376, loss: 1.9376 +2023-12-25 01:59:05,139 - pyskl - INFO - Saving checkpoint at 102 epochs +2023-12-25 02:00:18,203 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:00:18,256 - pyskl - INFO - +top1_acc 0.8817 +top5_acc 0.9924 +2023-12-25 02:00:18,256 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:00:18,262 - pyskl - INFO - +mean_acc 0.8515 +2023-12-25 02:00:18,264 - pyskl - INFO - Epoch(val) [102][533] top1_acc: 0.8817, top5_acc: 0.9924, mean_class_accuracy: 0.8515 +2023-12-25 02:01:18,716 - pyskl - INFO - Epoch [103][100/1281] lr: 5.785e-03, eta: 6:57:27, time: 0.604, data_time: 0.172, memory: 4130, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.9031, loss: 1.9031 +2023-12-25 02:02:02,206 - pyskl - INFO - Epoch [103][200/1281] lr: 5.768e-03, eta: 6:56:48, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.9379, loss: 1.9379 +2023-12-25 02:02:45,554 - pyskl - INFO - Epoch [103][300/1281] lr: 5.751e-03, eta: 6:56:08, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 1.9179, loss: 1.9179 +2023-12-25 02:03:28,020 - pyskl - INFO - Epoch [103][400/1281] lr: 5.733e-03, eta: 6:55:28, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9160, loss: 1.9160 +2023-12-25 02:04:10,727 - pyskl - INFO - Epoch [103][500/1281] lr: 5.716e-03, eta: 6:54:48, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 1.9249, loss: 1.9249 +2023-12-25 02:04:53,353 - pyskl - INFO - Epoch [103][600/1281] lr: 5.699e-03, eta: 6:54:08, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.9037, loss: 1.9037 +2023-12-25 02:05:36,049 - pyskl - INFO - Epoch [103][700/1281] lr: 5.682e-03, eta: 6:53:28, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 1.9682, loss: 1.9682 +2023-12-25 02:06:18,650 - pyskl - INFO - Epoch [103][800/1281] lr: 5.665e-03, eta: 6:52:48, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9219, loss: 1.9219 +2023-12-25 02:07:01,270 - pyskl - INFO - Epoch [103][900/1281] lr: 5.648e-03, eta: 6:52:08, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.9185, loss: 1.9185 +2023-12-25 02:07:43,805 - pyskl - INFO - Epoch [103][1000/1281] lr: 5.631e-03, eta: 6:51:28, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.9378, loss: 1.9378 +2023-12-25 02:08:15,059 - pyskl - INFO - Epoch [103][1100/1281] lr: 5.614e-03, eta: 6:50:43, time: 0.313, data_time: 0.001, memory: 4130, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.9208, loss: 1.9208 +2023-12-25 02:08:53,270 - pyskl - INFO - Epoch [103][1200/1281] lr: 5.597e-03, eta: 6:50:01, time: 0.382, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 1.9423, loss: 1.9423 +2023-12-25 02:09:23,407 - pyskl - INFO - Saving checkpoint at 103 epochs +2023-12-25 02:10:36,907 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:10:36,972 - pyskl - INFO - +top1_acc 0.8774 +top5_acc 0.9920 +2023-12-25 02:10:36,972 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:10:36,982 - pyskl - INFO - +mean_acc 0.8397 +2023-12-25 02:10:36,986 - pyskl - INFO - Epoch(val) [103][533] top1_acc: 0.8774, top5_acc: 0.9920, mean_class_accuracy: 0.8397 +2023-12-25 02:11:37,333 - pyskl - INFO - Epoch [104][100/1281] lr: 5.566e-03, eta: 6:48:41, time: 0.603, data_time: 0.172, memory: 4130, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.9092, loss: 1.9092 +2023-12-25 02:12:19,937 - pyskl - INFO - Epoch [104][200/1281] lr: 5.549e-03, eta: 6:48:01, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.9113, loss: 1.9113 +2023-12-25 02:13:02,597 - pyskl - INFO - Epoch [104][300/1281] lr: 5.532e-03, eta: 6:47:21, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9155, loss: 1.9155 +2023-12-25 02:13:45,116 - pyskl - INFO - Epoch [104][400/1281] lr: 5.515e-03, eta: 6:46:41, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.9453, loss: 1.9453 +2023-12-25 02:14:27,821 - pyskl - INFO - Epoch [104][500/1281] lr: 5.498e-03, eta: 6:46:01, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.9412, loss: 1.9412 +2023-12-25 02:15:10,490 - pyskl - INFO - Epoch [104][600/1281] lr: 5.481e-03, eta: 6:45:21, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.9146, loss: 1.9146 +2023-12-25 02:15:53,022 - pyskl - INFO - Epoch [104][700/1281] lr: 5.464e-03, eta: 6:44:41, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9259, loss: 1.9259 +2023-12-25 02:16:35,670 - pyskl - INFO - Epoch [104][800/1281] lr: 5.447e-03, eta: 6:44:01, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.9073, loss: 1.9073 +2023-12-25 02:17:18,314 - pyskl - INFO - Epoch [104][900/1281] lr: 5.430e-03, eta: 6:43:21, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.9278, loss: 1.9278 +2023-12-25 02:18:00,942 - pyskl - INFO - Epoch [104][1000/1281] lr: 5.413e-03, eta: 6:42:41, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.9299, loss: 1.9299 +2023-12-25 02:18:33,234 - pyskl - INFO - Epoch [104][1100/1281] lr: 5.397e-03, eta: 6:41:57, time: 0.323, data_time: 0.000, memory: 4130, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.9196, loss: 1.9196 +2023-12-25 02:19:11,190 - pyskl - INFO - Epoch [104][1200/1281] lr: 5.380e-03, eta: 6:41:15, time: 0.380, data_time: 0.000, memory: 4130, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.9247, loss: 1.9247 +2023-12-25 02:19:41,752 - pyskl - INFO - Saving checkpoint at 104 epochs +2023-12-25 02:20:55,818 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:20:55,874 - pyskl - INFO - +top1_acc 0.8927 +top5_acc 0.9938 +2023-12-25 02:20:55,874 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:20:55,882 - pyskl - INFO - +mean_acc 0.8627 +2023-12-25 02:20:55,886 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_93.pth was removed +2023-12-25 02:20:56,089 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2023-12-25 02:20:56,090 - pyskl - INFO - Best top1_acc is 0.8927 at 104 epoch. +2023-12-25 02:20:56,093 - pyskl - INFO - Epoch(val) [104][533] top1_acc: 0.8927, top5_acc: 0.9938, mean_class_accuracy: 0.8627 +2023-12-25 02:21:56,692 - pyskl - INFO - Epoch [105][100/1281] lr: 5.349e-03, eta: 6:39:55, time: 0.606, data_time: 0.173, memory: 4130, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.9022, loss: 1.9022 +2023-12-25 02:22:40,061 - pyskl - INFO - Epoch [105][200/1281] lr: 5.333e-03, eta: 6:39:15, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.9113, loss: 1.9113 +2023-12-25 02:23:23,486 - pyskl - INFO - Epoch [105][300/1281] lr: 5.316e-03, eta: 6:38:36, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9296, loss: 1.9296 +2023-12-25 02:24:07,120 - pyskl - INFO - Epoch [105][400/1281] lr: 5.299e-03, eta: 6:37:56, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.9281, loss: 1.9281 +2023-12-25 02:24:50,532 - pyskl - INFO - Epoch [105][500/1281] lr: 5.283e-03, eta: 6:37:17, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.9108, loss: 1.9108 +2023-12-25 02:25:33,845 - pyskl - INFO - Epoch [105][600/1281] lr: 5.266e-03, eta: 6:36:37, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.9267, loss: 1.9267 +2023-12-25 02:26:17,257 - pyskl - INFO - Epoch [105][700/1281] lr: 5.249e-03, eta: 6:35:57, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.9368, loss: 1.9368 +2023-12-25 02:27:00,681 - pyskl - INFO - Epoch [105][800/1281] lr: 5.233e-03, eta: 6:35:18, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9184, loss: 1.9184 +2023-12-25 02:27:44,056 - pyskl - INFO - Epoch [105][900/1281] lr: 5.216e-03, eta: 6:34:38, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9065, loss: 1.9065 +2023-12-25 02:28:27,460 - pyskl - INFO - Epoch [105][1000/1281] lr: 5.199e-03, eta: 6:33:58, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9073, loss: 1.9073 +2023-12-25 02:28:58,558 - pyskl - INFO - Epoch [105][1100/1281] lr: 5.183e-03, eta: 6:33:13, time: 0.311, data_time: 0.000, memory: 4130, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.9191, loss: 1.9191 +2023-12-25 02:29:37,149 - pyskl - INFO - Epoch [105][1200/1281] lr: 5.166e-03, eta: 6:32:31, time: 0.386, data_time: 0.000, memory: 4130, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9297, loss: 1.9297 +2023-12-25 02:30:06,981 - pyskl - INFO - Saving checkpoint at 105 epochs +2023-12-25 02:31:20,698 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:31:20,752 - pyskl - INFO - +top1_acc 0.9001 +top5_acc 0.9920 +2023-12-25 02:31:20,752 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:31:20,759 - pyskl - INFO - +mean_acc 0.8549 +2023-12-25 02:31:20,763 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_104.pth was removed +2023-12-25 02:31:20,920 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. +2023-12-25 02:31:20,920 - pyskl - INFO - Best top1_acc is 0.9001 at 105 epoch. +2023-12-25 02:31:20,923 - pyskl - INFO - Epoch(val) [105][533] top1_acc: 0.9001, top5_acc: 0.9920, mean_class_accuracy: 0.8549 +2023-12-25 02:32:21,482 - pyskl - INFO - Epoch [106][100/1281] lr: 5.136e-03, eta: 6:31:12, time: 0.606, data_time: 0.172, memory: 4130, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.9412, loss: 1.9412 +2023-12-25 02:33:04,944 - pyskl - INFO - Epoch [106][200/1281] lr: 5.120e-03, eta: 6:30:32, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.9204, loss: 1.9204 +2023-12-25 02:33:48,427 - pyskl - INFO - Epoch [106][300/1281] lr: 5.103e-03, eta: 6:29:53, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 1.9273, loss: 1.9273 +2023-12-25 02:34:31,850 - pyskl - INFO - Epoch [106][400/1281] lr: 5.087e-03, eta: 6:29:13, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.9041, loss: 1.9041 +2023-12-25 02:35:15,241 - pyskl - INFO - Epoch [106][500/1281] lr: 5.070e-03, eta: 6:28:33, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.9004, loss: 1.9004 +2023-12-25 02:35:58,653 - pyskl - INFO - Epoch [106][600/1281] lr: 5.054e-03, eta: 6:27:53, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.9102, loss: 1.9102 +2023-12-25 02:36:41,120 - pyskl - INFO - Epoch [106][700/1281] lr: 5.038e-03, eta: 6:27:13, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.9295, loss: 1.9295 +2023-12-25 02:37:23,785 - pyskl - INFO - Epoch [106][800/1281] lr: 5.021e-03, eta: 6:26:33, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.9008, loss: 1.9008 +2023-12-25 02:38:06,440 - pyskl - INFO - Epoch [106][900/1281] lr: 5.005e-03, eta: 6:25:53, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.9019, loss: 1.9019 +2023-12-25 02:38:49,058 - pyskl - INFO - Epoch [106][1000/1281] lr: 4.988e-03, eta: 6:25:13, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.9034, loss: 1.9034 +2023-12-25 02:39:20,601 - pyskl - INFO - Epoch [106][1100/1281] lr: 4.972e-03, eta: 6:24:29, time: 0.315, data_time: 0.000, memory: 4130, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.9139, loss: 1.9139 +2023-12-25 02:39:58,422 - pyskl - INFO - Epoch [106][1200/1281] lr: 4.956e-03, eta: 6:23:47, time: 0.378, data_time: 0.000, memory: 4130, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9221, loss: 1.9221 +2023-12-25 02:40:29,439 - pyskl - INFO - Saving checkpoint at 106 epochs +2023-12-25 02:41:43,055 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:41:43,109 - pyskl - INFO - +top1_acc 0.8939 +top5_acc 0.9921 +2023-12-25 02:41:43,109 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:41:43,116 - pyskl - INFO - +mean_acc 0.8666 +2023-12-25 02:41:43,118 - pyskl - INFO - Epoch(val) [106][533] top1_acc: 0.8939, top5_acc: 0.9921, mean_class_accuracy: 0.8666 +2023-12-25 02:42:43,492 - pyskl - INFO - Epoch [107][100/1281] lr: 4.926e-03, eta: 6:22:27, time: 0.604, data_time: 0.169, memory: 4130, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.9351, loss: 1.9351 +2023-12-25 02:43:26,850 - pyskl - INFO - Epoch [107][200/1281] lr: 4.910e-03, eta: 6:21:47, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.9274, loss: 1.9274 +2023-12-25 02:44:10,198 - pyskl - INFO - Epoch [107][300/1281] lr: 4.894e-03, eta: 6:21:08, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 1.9111, loss: 1.9111 +2023-12-25 02:44:52,632 - pyskl - INFO - Epoch [107][400/1281] lr: 4.878e-03, eta: 6:20:28, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.9003, loss: 1.9003 +2023-12-25 02:45:35,358 - pyskl - INFO - Epoch [107][500/1281] lr: 4.862e-03, eta: 6:19:48, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.9041, loss: 1.9041 +2023-12-25 02:46:17,970 - pyskl - INFO - Epoch [107][600/1281] lr: 4.845e-03, eta: 6:19:08, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.9047, loss: 1.9047 +2023-12-25 02:47:00,585 - pyskl - INFO - Epoch [107][700/1281] lr: 4.829e-03, eta: 6:18:28, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.9242, loss: 1.9242 +2023-12-25 02:47:43,201 - pyskl - INFO - Epoch [107][800/1281] lr: 4.813e-03, eta: 6:17:47, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9183, loss: 1.9183 +2023-12-25 02:48:25,825 - pyskl - INFO - Epoch [107][900/1281] lr: 4.797e-03, eta: 6:17:07, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.8978, loss: 1.8978 +2023-12-25 02:49:08,417 - pyskl - INFO - Epoch [107][1000/1281] lr: 4.781e-03, eta: 6:16:27, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.8978, loss: 1.8978 +2023-12-25 02:49:39,768 - pyskl - INFO - Epoch [107][1100/1281] lr: 4.765e-03, eta: 6:15:43, time: 0.314, data_time: 0.000, memory: 4130, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.9166, loss: 1.9166 +2023-12-25 02:50:17,473 - pyskl - INFO - Epoch [107][1200/1281] lr: 4.749e-03, eta: 6:15:01, time: 0.377, data_time: 0.000, memory: 4130, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.9182, loss: 1.9182 +2023-12-25 02:50:48,495 - pyskl - INFO - Saving checkpoint at 107 epochs +2023-12-25 02:52:02,222 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 02:52:02,291 - pyskl - INFO - +top1_acc 0.8859 +top5_acc 0.9927 +2023-12-25 02:52:02,291 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 02:52:02,299 - pyskl - INFO - +mean_acc 0.8505 +2023-12-25 02:52:02,301 - pyskl - INFO - Epoch(val) [107][533] top1_acc: 0.8859, top5_acc: 0.9927, mean_class_accuracy: 0.8505 +2023-12-25 02:53:02,279 - pyskl - INFO - Epoch [108][100/1281] lr: 4.720e-03, eta: 6:13:41, time: 0.600, data_time: 0.173, memory: 4130, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.9062, loss: 1.9062 +2023-12-25 02:53:44,953 - pyskl - INFO - Epoch [108][200/1281] lr: 4.704e-03, eta: 6:13:01, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9109, loss: 1.9109 +2023-12-25 02:54:27,720 - pyskl - INFO - Epoch [108][300/1281] lr: 4.688e-03, eta: 6:12:21, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.8991, loss: 1.8991 +2023-12-25 02:55:10,260 - pyskl - INFO - Epoch [108][400/1281] lr: 4.672e-03, eta: 6:11:41, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.9096, loss: 1.9096 +2023-12-25 02:55:52,841 - pyskl - INFO - Epoch [108][500/1281] lr: 4.656e-03, eta: 6:11:01, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.9147, loss: 1.9147 +2023-12-25 02:56:35,562 - pyskl - INFO - Epoch [108][600/1281] lr: 4.640e-03, eta: 6:10:21, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.9097, loss: 1.9097 +2023-12-25 02:57:18,219 - pyskl - INFO - Epoch [108][700/1281] lr: 4.624e-03, eta: 6:09:41, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.9040, loss: 1.9040 +2023-12-25 02:58:01,016 - pyskl - INFO - Epoch [108][800/1281] lr: 4.608e-03, eta: 6:09:01, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.9089, loss: 1.9089 +2023-12-25 02:58:43,741 - pyskl - INFO - Epoch [108][900/1281] lr: 4.593e-03, eta: 6:08:21, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.8908, loss: 1.8908 +2023-12-25 02:59:26,435 - pyskl - INFO - Epoch [108][1000/1281] lr: 4.577e-03, eta: 6:07:41, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.9035, loss: 1.9035 +2023-12-25 02:59:59,210 - pyskl - INFO - Epoch [108][1100/1281] lr: 4.561e-03, eta: 6:06:57, time: 0.328, data_time: 0.000, memory: 4130, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.8760, loss: 1.8760 +2023-12-25 03:00:36,288 - pyskl - INFO - Epoch [108][1200/1281] lr: 4.545e-03, eta: 6:06:15, time: 0.371, data_time: 0.000, memory: 4130, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.8991, loss: 1.8991 +2023-12-25 03:01:07,748 - pyskl - INFO - Saving checkpoint at 108 epochs +2023-12-25 03:02:21,779 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:02:21,833 - pyskl - INFO - +top1_acc 0.8981 +top5_acc 0.9932 +2023-12-25 03:02:21,833 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:02:21,839 - pyskl - INFO - +mean_acc 0.8637 +2023-12-25 03:02:21,841 - pyskl - INFO - Epoch(val) [108][533] top1_acc: 0.8981, top5_acc: 0.9932, mean_class_accuracy: 0.8637 +2023-12-25 03:03:22,017 - pyskl - INFO - Epoch [109][100/1281] lr: 4.517e-03, eta: 6:04:56, time: 0.602, data_time: 0.168, memory: 4130, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.9071, loss: 1.9071 +2023-12-25 03:04:05,439 - pyskl - INFO - Epoch [109][200/1281] lr: 4.501e-03, eta: 6:04:16, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.8931, loss: 1.8931 +2023-12-25 03:04:48,875 - pyskl - INFO - Epoch [109][300/1281] lr: 4.485e-03, eta: 6:03:36, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8846, loss: 1.8846 +2023-12-25 03:05:32,341 - pyskl - INFO - Epoch [109][400/1281] lr: 4.470e-03, eta: 6:02:56, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.9072, loss: 1.9072 +2023-12-25 03:06:15,726 - pyskl - INFO - Epoch [109][500/1281] lr: 4.454e-03, eta: 6:02:17, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.9103, loss: 1.9103 +2023-12-25 03:06:59,210 - pyskl - INFO - Epoch [109][600/1281] lr: 4.438e-03, eta: 6:01:37, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.8910, loss: 1.8910 +2023-12-25 03:07:42,579 - pyskl - INFO - Epoch [109][700/1281] lr: 4.423e-03, eta: 6:00:57, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.8822, loss: 1.8822 +2023-12-25 03:08:26,088 - pyskl - INFO - Epoch [109][800/1281] lr: 4.407e-03, eta: 6:00:17, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.8858, loss: 1.8858 +2023-12-25 03:09:09,754 - pyskl - INFO - Epoch [109][900/1281] lr: 4.391e-03, eta: 5:59:38, time: 0.437, data_time: 0.000, memory: 4130, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.8888, loss: 1.8888 +2023-12-25 03:09:52,607 - pyskl - INFO - Epoch [109][1000/1281] lr: 4.376e-03, eta: 5:58:58, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.8926, loss: 1.8926 +2023-12-25 03:10:25,591 - pyskl - INFO - Epoch [109][1100/1281] lr: 4.360e-03, eta: 5:58:14, time: 0.330, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.9138, loss: 1.9138 +2023-12-25 03:11:02,289 - pyskl - INFO - Epoch [109][1200/1281] lr: 4.345e-03, eta: 5:57:32, time: 0.367, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.9072, loss: 1.9072 +2023-12-25 03:11:34,155 - pyskl - INFO - Saving checkpoint at 109 epochs +2023-12-25 03:12:47,290 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:12:47,345 - pyskl - INFO - +top1_acc 0.9005 +top5_acc 0.9916 +2023-12-25 03:12:47,345 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:12:47,353 - pyskl - INFO - +mean_acc 0.8653 +2023-12-25 03:12:47,358 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_105.pth was removed +2023-12-25 03:12:47,565 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_109.pth. +2023-12-25 03:12:47,565 - pyskl - INFO - Best top1_acc is 0.9005 at 109 epoch. +2023-12-25 03:12:47,568 - pyskl - INFO - Epoch(val) [109][533] top1_acc: 0.9005, top5_acc: 0.9916, mean_class_accuracy: 0.8653 +2023-12-25 03:13:47,141 - pyskl - INFO - Epoch [110][100/1281] lr: 4.317e-03, eta: 5:56:12, time: 0.596, data_time: 0.170, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.9052, loss: 1.9052 +2023-12-25 03:14:29,731 - pyskl - INFO - Epoch [110][200/1281] lr: 4.301e-03, eta: 5:55:32, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.9040, loss: 1.9040 +2023-12-25 03:15:12,279 - pyskl - INFO - Epoch [110][300/1281] lr: 4.286e-03, eta: 5:54:52, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8844, loss: 1.8844 +2023-12-25 03:15:54,975 - pyskl - INFO - Epoch [110][400/1281] lr: 4.271e-03, eta: 5:54:12, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8795, loss: 1.8795 +2023-12-25 03:16:37,690 - pyskl - INFO - Epoch [110][500/1281] lr: 4.255e-03, eta: 5:53:32, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8832, loss: 1.8832 +2023-12-25 03:17:20,237 - pyskl - INFO - Epoch [110][600/1281] lr: 4.240e-03, eta: 5:52:52, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.8731, loss: 1.8731 +2023-12-25 03:18:02,975 - pyskl - INFO - Epoch [110][700/1281] lr: 4.225e-03, eta: 5:52:12, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.8828, loss: 1.8828 +2023-12-25 03:18:45,636 - pyskl - INFO - Epoch [110][800/1281] lr: 4.209e-03, eta: 5:51:32, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.8954, loss: 1.8954 +2023-12-25 03:19:28,329 - pyskl - INFO - Epoch [110][900/1281] lr: 4.194e-03, eta: 5:50:52, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9078, loss: 1.9078 +2023-12-25 03:20:11,027 - pyskl - INFO - Epoch [110][1000/1281] lr: 4.179e-03, eta: 5:50:12, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.9033, loss: 1.9033 +2023-12-25 03:20:44,427 - pyskl - INFO - Epoch [110][1100/1281] lr: 4.164e-03, eta: 5:49:28, time: 0.334, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8958, loss: 1.8958 +2023-12-25 03:21:20,073 - pyskl - INFO - Epoch [110][1200/1281] lr: 4.148e-03, eta: 5:48:46, time: 0.356, data_time: 0.000, memory: 4130, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.9022, loss: 1.9022 +2023-12-25 03:21:53,092 - pyskl - INFO - Saving checkpoint at 110 epochs +2023-12-25 03:23:06,708 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:23:06,775 - pyskl - INFO - +top1_acc 0.9071 +top5_acc 0.9952 +2023-12-25 03:23:06,775 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:23:06,783 - pyskl - INFO - +mean_acc 0.8782 +2023-12-25 03:23:06,788 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_109.pth was removed +2023-12-25 03:23:07,008 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2023-12-25 03:23:07,008 - pyskl - INFO - Best top1_acc is 0.9071 at 110 epoch. +2023-12-25 03:23:07,011 - pyskl - INFO - Epoch(val) [110][533] top1_acc: 0.9071, top5_acc: 0.9952, mean_class_accuracy: 0.8782 +2023-12-25 03:24:06,833 - pyskl - INFO - Epoch [111][100/1281] lr: 4.121e-03, eta: 5:47:27, time: 0.598, data_time: 0.171, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8689, loss: 1.8689 +2023-12-25 03:24:49,322 - pyskl - INFO - Epoch [111][200/1281] lr: 4.106e-03, eta: 5:46:47, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.8979, loss: 1.8979 +2023-12-25 03:25:31,986 - pyskl - INFO - Epoch [111][300/1281] lr: 4.091e-03, eta: 5:46:07, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.8991, loss: 1.8991 +2023-12-25 03:26:14,555 - pyskl - INFO - Epoch [111][400/1281] lr: 4.075e-03, eta: 5:45:26, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.9075, loss: 1.9075 +2023-12-25 03:26:57,268 - pyskl - INFO - Epoch [111][500/1281] lr: 4.060e-03, eta: 5:44:46, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.8918, loss: 1.8918 +2023-12-25 03:27:39,950 - pyskl - INFO - Epoch [111][600/1281] lr: 4.045e-03, eta: 5:44:06, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.8910, loss: 1.8910 +2023-12-25 03:28:22,593 - pyskl - INFO - Epoch [111][700/1281] lr: 4.030e-03, eta: 5:43:26, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.9011, loss: 1.9011 +2023-12-25 03:29:05,241 - pyskl - INFO - Epoch [111][800/1281] lr: 4.015e-03, eta: 5:42:46, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.9151, loss: 1.9151 +2023-12-25 03:29:47,779 - pyskl - INFO - Epoch [111][900/1281] lr: 4.000e-03, eta: 5:42:06, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.9073, loss: 1.9073 +2023-12-25 03:30:30,470 - pyskl - INFO - Epoch [111][1000/1281] lr: 3.985e-03, eta: 5:41:26, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.9001, loss: 1.9001 +2023-12-25 03:31:03,933 - pyskl - INFO - Epoch [111][1100/1281] lr: 3.970e-03, eta: 5:40:42, time: 0.335, data_time: 0.000, memory: 4130, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.9050, loss: 1.9050 +2023-12-25 03:31:40,072 - pyskl - INFO - Epoch [111][1200/1281] lr: 3.955e-03, eta: 5:40:00, time: 0.361, data_time: 0.000, memory: 4130, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.8899, loss: 1.8899 +2023-12-25 03:32:12,497 - pyskl - INFO - Saving checkpoint at 111 epochs +2023-12-25 03:33:26,333 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:33:26,396 - pyskl - INFO - +top1_acc 0.9069 +top5_acc 0.9942 +2023-12-25 03:33:26,397 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:33:26,405 - pyskl - INFO - +mean_acc 0.8823 +2023-12-25 03:33:26,408 - pyskl - INFO - Epoch(val) [111][533] top1_acc: 0.9069, top5_acc: 0.9942, mean_class_accuracy: 0.8823 +2023-12-25 03:34:26,045 - pyskl - INFO - Epoch [112][100/1281] lr: 3.928e-03, eta: 5:38:41, time: 0.596, data_time: 0.169, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8863, loss: 1.8863 +2023-12-25 03:35:08,730 - pyskl - INFO - Epoch [112][200/1281] lr: 3.914e-03, eta: 5:38:01, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8734, loss: 1.8734 +2023-12-25 03:35:51,381 - pyskl - INFO - Epoch [112][300/1281] lr: 3.899e-03, eta: 5:37:21, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.8864, loss: 1.8864 +2023-12-25 03:36:34,005 - pyskl - INFO - Epoch [112][400/1281] lr: 3.884e-03, eta: 5:36:41, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8686, loss: 1.8686 +2023-12-25 03:37:16,474 - pyskl - INFO - Epoch [112][500/1281] lr: 3.869e-03, eta: 5:36:01, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.8772, loss: 1.8772 +2023-12-25 03:37:58,971 - pyskl - INFO - Epoch [112][600/1281] lr: 3.854e-03, eta: 5:35:21, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.8760, loss: 1.8760 +2023-12-25 03:38:41,638 - pyskl - INFO - Epoch [112][700/1281] lr: 3.840e-03, eta: 5:34:41, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8790, loss: 1.8790 +2023-12-25 03:39:24,246 - pyskl - INFO - Epoch [112][800/1281] lr: 3.825e-03, eta: 5:34:00, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.9019, loss: 1.9019 +2023-12-25 03:40:06,966 - pyskl - INFO - Epoch [112][900/1281] lr: 3.810e-03, eta: 5:33:20, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.9104, loss: 1.9104 +2023-12-25 03:40:49,603 - pyskl - INFO - Epoch [112][1000/1281] lr: 3.795e-03, eta: 5:32:40, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.9085, loss: 1.9085 +2023-12-25 03:41:23,145 - pyskl - INFO - Epoch [112][1100/1281] lr: 3.781e-03, eta: 5:31:57, time: 0.335, data_time: 0.000, memory: 4130, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.9136, loss: 1.9136 +2023-12-25 03:41:58,616 - pyskl - INFO - Epoch [112][1200/1281] lr: 3.766e-03, eta: 5:31:14, time: 0.355, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8915, loss: 1.8915 +2023-12-25 03:42:31,671 - pyskl - INFO - Saving checkpoint at 112 epochs +2023-12-25 03:43:45,442 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:43:45,497 - pyskl - INFO - +top1_acc 0.9018 +top5_acc 0.9930 +2023-12-25 03:43:45,497 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:43:45,504 - pyskl - INFO - +mean_acc 0.8651 +2023-12-25 03:43:45,506 - pyskl - INFO - Epoch(val) [112][533] top1_acc: 0.9018, top5_acc: 0.9930, mean_class_accuracy: 0.8651 +2023-12-25 03:44:44,895 - pyskl - INFO - Epoch [113][100/1281] lr: 3.740e-03, eta: 5:29:56, time: 0.594, data_time: 0.167, memory: 4130, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.8881, loss: 1.8881 +2023-12-25 03:45:27,525 - pyskl - INFO - Epoch [113][200/1281] lr: 3.725e-03, eta: 5:29:16, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.8845, loss: 1.8845 +2023-12-25 03:46:10,272 - pyskl - INFO - Epoch [113][300/1281] lr: 3.711e-03, eta: 5:28:36, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.8791, loss: 1.8791 +2023-12-25 03:46:52,920 - pyskl - INFO - Epoch [113][400/1281] lr: 3.696e-03, eta: 5:27:55, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8847, loss: 1.8847 +2023-12-25 03:47:35,436 - pyskl - INFO - Epoch [113][500/1281] lr: 3.682e-03, eta: 5:27:15, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.9027, loss: 1.9027 +2023-12-25 03:48:17,987 - pyskl - INFO - Epoch [113][600/1281] lr: 3.667e-03, eta: 5:26:35, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.9059, loss: 1.9059 +2023-12-25 03:49:00,528 - pyskl - INFO - Epoch [113][700/1281] lr: 3.653e-03, eta: 5:25:55, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.8951, loss: 1.8951 +2023-12-25 03:49:43,283 - pyskl - INFO - Epoch [113][800/1281] lr: 3.638e-03, eta: 5:25:15, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.9161, loss: 1.9161 +2023-12-25 03:50:25,842 - pyskl - INFO - Epoch [113][900/1281] lr: 3.624e-03, eta: 5:24:35, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8868, loss: 1.8868 +2023-12-25 03:51:08,580 - pyskl - INFO - Epoch [113][1000/1281] lr: 3.610e-03, eta: 5:23:55, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8867, loss: 1.8867 +2023-12-25 03:51:42,930 - pyskl - INFO - Epoch [113][1100/1281] lr: 3.595e-03, eta: 5:23:12, time: 0.343, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.8787, loss: 1.8787 +2023-12-25 03:52:17,476 - pyskl - INFO - Epoch [113][1200/1281] lr: 3.581e-03, eta: 5:22:29, time: 0.345, data_time: 0.000, memory: 4130, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.9013, loss: 1.9013 +2023-12-25 03:52:51,547 - pyskl - INFO - Saving checkpoint at 113 epochs +2023-12-25 03:54:04,997 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 03:54:05,052 - pyskl - INFO - +top1_acc 0.9073 +top5_acc 0.9945 +2023-12-25 03:54:05,052 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 03:54:05,059 - pyskl - INFO - +mean_acc 0.8676 +2023-12-25 03:54:05,063 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_110.pth was removed +2023-12-25 03:54:05,235 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. +2023-12-25 03:54:05,235 - pyskl - INFO - Best top1_acc is 0.9073 at 113 epoch. +2023-12-25 03:54:05,238 - pyskl - INFO - Epoch(val) [113][533] top1_acc: 0.9073, top5_acc: 0.9945, mean_class_accuracy: 0.8676 +2023-12-25 03:55:05,603 - pyskl - INFO - Epoch [114][100/1281] lr: 3.555e-03, eta: 5:21:11, time: 0.604, data_time: 0.169, memory: 4130, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.8758, loss: 1.8758 +2023-12-25 03:55:48,166 - pyskl - INFO - Epoch [114][200/1281] lr: 3.541e-03, eta: 5:20:31, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8673, loss: 1.8673 +2023-12-25 03:56:30,791 - pyskl - INFO - Epoch [114][300/1281] lr: 3.526e-03, eta: 5:19:50, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8680, loss: 1.8680 +2023-12-25 03:57:13,514 - pyskl - INFO - Epoch [114][400/1281] lr: 3.512e-03, eta: 5:19:10, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.8783, loss: 1.8783 +2023-12-25 03:57:56,108 - pyskl - INFO - Epoch [114][500/1281] lr: 3.498e-03, eta: 5:18:30, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.8770, loss: 1.8770 +2023-12-25 03:58:38,734 - pyskl - INFO - Epoch [114][600/1281] lr: 3.484e-03, eta: 5:17:50, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.8822, loss: 1.8822 +2023-12-25 03:59:21,377 - pyskl - INFO - Epoch [114][700/1281] lr: 3.470e-03, eta: 5:17:10, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.8725, loss: 1.8725 +2023-12-25 04:00:04,041 - pyskl - INFO - Epoch [114][800/1281] lr: 3.456e-03, eta: 5:16:30, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8915, loss: 1.8915 +2023-12-25 04:00:46,600 - pyskl - INFO - Epoch [114][900/1281] lr: 3.442e-03, eta: 5:15:50, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.8992, loss: 1.8992 +2023-12-25 04:01:29,177 - pyskl - INFO - Epoch [114][1000/1281] lr: 3.427e-03, eta: 5:15:09, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8914, loss: 1.8914 +2023-12-25 04:02:04,311 - pyskl - INFO - Epoch [114][1100/1281] lr: 3.413e-03, eta: 5:14:27, time: 0.351, data_time: 0.000, memory: 4130, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.9108, loss: 1.9108 +2023-12-25 04:02:38,582 - pyskl - INFO - Epoch [114][1200/1281] lr: 3.399e-03, eta: 5:13:44, time: 0.343, data_time: 0.000, memory: 4130, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.9017, loss: 1.9017 +2023-12-25 04:03:12,760 - pyskl - INFO - Saving checkpoint at 114 epochs +2023-12-25 04:04:26,159 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:04:26,214 - pyskl - INFO - +top1_acc 0.9087 +top5_acc 0.9946 +2023-12-25 04:04:26,214 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:04:26,221 - pyskl - INFO - +mean_acc 0.8766 +2023-12-25 04:04:26,226 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_113.pth was removed +2023-12-25 04:04:26,531 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2023-12-25 04:04:26,531 - pyskl - INFO - Best top1_acc is 0.9087 at 114 epoch. +2023-12-25 04:04:26,534 - pyskl - INFO - Epoch(val) [114][533] top1_acc: 0.9087, top5_acc: 0.9946, mean_class_accuracy: 0.8766 +2023-12-25 04:05:26,003 - pyskl - INFO - Epoch [115][100/1281] lr: 3.374e-03, eta: 5:12:26, time: 0.595, data_time: 0.168, memory: 4130, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.8898, loss: 1.8898 +2023-12-25 04:06:08,572 - pyskl - INFO - Epoch [115][200/1281] lr: 3.360e-03, eta: 5:11:46, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8778, loss: 1.8778 +2023-12-25 04:06:51,218 - pyskl - INFO - Epoch [115][300/1281] lr: 3.346e-03, eta: 5:11:05, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.8777, loss: 1.8777 +2023-12-25 04:07:33,895 - pyskl - INFO - Epoch [115][400/1281] lr: 3.332e-03, eta: 5:10:25, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.8793, loss: 1.8793 +2023-12-25 04:08:16,553 - pyskl - INFO - Epoch [115][500/1281] lr: 3.318e-03, eta: 5:09:45, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.8854, loss: 1.8854 +2023-12-25 04:08:59,250 - pyskl - INFO - Epoch [115][600/1281] lr: 3.305e-03, eta: 5:09:05, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8732, loss: 1.8732 +2023-12-25 04:09:41,877 - pyskl - INFO - Epoch [115][700/1281] lr: 3.291e-03, eta: 5:08:25, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.8834, loss: 1.8834 +2023-12-25 04:10:24,460 - pyskl - INFO - Epoch [115][800/1281] lr: 3.277e-03, eta: 5:07:45, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8850, loss: 1.8850 +2023-12-25 04:11:07,122 - pyskl - INFO - Epoch [115][900/1281] lr: 3.263e-03, eta: 5:07:05, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.8935, loss: 1.8935 +2023-12-25 04:11:49,721 - pyskl - INFO - Epoch [115][1000/1281] lr: 3.249e-03, eta: 5:06:24, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.9058, loss: 1.9058 +2023-12-25 04:12:24,667 - pyskl - INFO - Epoch [115][1100/1281] lr: 3.236e-03, eta: 5:05:42, time: 0.349, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8785, loss: 1.8785 +2023-12-25 04:12:59,152 - pyskl - INFO - Epoch [115][1200/1281] lr: 3.222e-03, eta: 5:04:59, time: 0.345, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.9052, loss: 1.9052 +2023-12-25 04:13:33,198 - pyskl - INFO - Saving checkpoint at 115 epochs +2023-12-25 04:14:46,710 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:14:46,781 - pyskl - INFO - +top1_acc 0.8990 +top5_acc 0.9921 +2023-12-25 04:14:46,782 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:14:46,792 - pyskl - INFO - +mean_acc 0.8632 +2023-12-25 04:14:46,795 - pyskl - INFO - Epoch(val) [115][533] top1_acc: 0.8990, top5_acc: 0.9921, mean_class_accuracy: 0.8632 +2023-12-25 04:15:45,920 - pyskl - INFO - Epoch [116][100/1281] lr: 3.197e-03, eta: 5:03:41, time: 0.591, data_time: 0.166, memory: 4130, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.8770, loss: 1.8770 +2023-12-25 04:16:28,675 - pyskl - INFO - Epoch [116][200/1281] lr: 3.184e-03, eta: 5:03:01, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.8799, loss: 1.8799 +2023-12-25 04:17:11,265 - pyskl - INFO - Epoch [116][300/1281] lr: 3.170e-03, eta: 5:02:21, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.8715, loss: 1.8715 +2023-12-25 04:17:53,964 - pyskl - INFO - Epoch [116][400/1281] lr: 3.156e-03, eta: 5:01:41, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.8931, loss: 1.8931 +2023-12-25 04:18:36,567 - pyskl - INFO - Epoch [116][500/1281] lr: 3.143e-03, eta: 5:01:00, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8693, loss: 1.8693 +2023-12-25 04:19:19,183 - pyskl - INFO - Epoch [116][600/1281] lr: 3.129e-03, eta: 5:00:20, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.8709, loss: 1.8709 +2023-12-25 04:20:01,690 - pyskl - INFO - Epoch [116][700/1281] lr: 3.116e-03, eta: 4:59:40, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8743, loss: 1.8743 +2023-12-25 04:20:44,276 - pyskl - INFO - Epoch [116][800/1281] lr: 3.102e-03, eta: 4:59:00, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8783, loss: 1.8783 +2023-12-25 04:21:26,851 - pyskl - INFO - Epoch [116][900/1281] lr: 3.089e-03, eta: 4:58:20, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.8925, loss: 1.8925 +2023-12-25 04:22:09,348 - pyskl - INFO - Epoch [116][1000/1281] lr: 3.075e-03, eta: 4:57:39, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.8831, loss: 1.8831 +2023-12-25 04:22:45,241 - pyskl - INFO - Epoch [116][1100/1281] lr: 3.062e-03, eta: 4:56:57, time: 0.359, data_time: 0.000, memory: 4130, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8764, loss: 1.8764 +2023-12-25 04:23:18,660 - pyskl - INFO - Epoch [116][1200/1281] lr: 3.049e-03, eta: 4:56:14, time: 0.334, data_time: 0.000, memory: 4130, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8750, loss: 1.8750 +2023-12-25 04:23:53,783 - pyskl - INFO - Saving checkpoint at 116 epochs +2023-12-25 04:25:06,713 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:25:06,769 - pyskl - INFO - +top1_acc 0.9130 +top5_acc 0.9935 +2023-12-25 04:25:06,769 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:25:06,776 - pyskl - INFO - +mean_acc 0.8792 +2023-12-25 04:25:06,781 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_114.pth was removed +2023-12-25 04:25:06,982 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2023-12-25 04:25:06,983 - pyskl - INFO - Best top1_acc is 0.9130 at 116 epoch. +2023-12-25 04:25:06,986 - pyskl - INFO - Epoch(val) [116][533] top1_acc: 0.9130, top5_acc: 0.9935, mean_class_accuracy: 0.8792 +2023-12-25 04:26:07,033 - pyskl - INFO - Epoch [117][100/1281] lr: 3.024e-03, eta: 4:54:57, time: 0.600, data_time: 0.166, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8577, loss: 1.8577 +2023-12-25 04:26:50,399 - pyskl - INFO - Epoch [117][200/1281] lr: 3.011e-03, eta: 4:54:17, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8603, loss: 1.8603 +2023-12-25 04:27:33,819 - pyskl - INFO - Epoch [117][300/1281] lr: 2.998e-03, eta: 4:53:37, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8645, loss: 1.8645 +2023-12-25 04:28:17,235 - pyskl - INFO - Epoch [117][400/1281] lr: 2.984e-03, eta: 4:52:57, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8583, loss: 1.8583 +2023-12-25 04:29:00,757 - pyskl - INFO - Epoch [117][500/1281] lr: 2.971e-03, eta: 4:52:17, time: 0.435, data_time: 0.001, memory: 4130, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.8687, loss: 1.8687 +2023-12-25 04:29:44,258 - pyskl - INFO - Epoch [117][600/1281] lr: 2.958e-03, eta: 4:51:37, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8615, loss: 1.8615 +2023-12-25 04:30:27,601 - pyskl - INFO - Epoch [117][700/1281] lr: 2.945e-03, eta: 4:50:57, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.8667, loss: 1.8667 +2023-12-25 04:31:10,983 - pyskl - INFO - Epoch [117][800/1281] lr: 2.932e-03, eta: 4:50:17, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.8748, loss: 1.8748 +2023-12-25 04:31:54,377 - pyskl - INFO - Epoch [117][900/1281] lr: 2.919e-03, eta: 4:49:37, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.8649, loss: 1.8649 +2023-12-25 04:32:37,787 - pyskl - INFO - Epoch [117][1000/1281] lr: 2.905e-03, eta: 4:48:57, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8690, loss: 1.8690 +2023-12-25 04:33:14,626 - pyskl - INFO - Epoch [117][1100/1281] lr: 2.892e-03, eta: 4:48:15, time: 0.368, data_time: 0.000, memory: 4130, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.8832, loss: 1.8832 +2023-12-25 04:33:47,277 - pyskl - INFO - Epoch [117][1200/1281] lr: 2.879e-03, eta: 4:47:32, time: 0.326, data_time: 0.000, memory: 4130, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.8834, loss: 1.8834 +2023-12-25 04:34:23,168 - pyskl - INFO - Saving checkpoint at 117 epochs +2023-12-25 04:35:35,699 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:35:35,754 - pyskl - INFO - +top1_acc 0.9073 +top5_acc 0.9938 +2023-12-25 04:35:35,754 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:35:35,760 - pyskl - INFO - +mean_acc 0.8775 +2023-12-25 04:35:35,762 - pyskl - INFO - Epoch(val) [117][533] top1_acc: 0.9073, top5_acc: 0.9938, mean_class_accuracy: 0.8775 +2023-12-25 04:36:35,559 - pyskl - INFO - Epoch [118][100/1281] lr: 2.856e-03, eta: 4:46:14, time: 0.598, data_time: 0.172, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8720, loss: 1.8720 +2023-12-25 04:37:18,215 - pyskl - INFO - Epoch [118][200/1281] lr: 2.843e-03, eta: 4:45:34, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8651, loss: 1.8651 +2023-12-25 04:38:01,055 - pyskl - INFO - Epoch [118][300/1281] lr: 2.830e-03, eta: 4:44:54, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8637, loss: 1.8637 +2023-12-25 04:38:43,666 - pyskl - INFO - Epoch [118][400/1281] lr: 2.817e-03, eta: 4:44:14, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.8743, loss: 1.8743 +2023-12-25 04:39:26,262 - pyskl - INFO - Epoch [118][500/1281] lr: 2.804e-03, eta: 4:43:34, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8658, loss: 1.8658 +2023-12-25 04:40:08,934 - pyskl - INFO - Epoch [118][600/1281] lr: 2.791e-03, eta: 4:42:53, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.8725, loss: 1.8725 +2023-12-25 04:40:51,584 - pyskl - INFO - Epoch [118][700/1281] lr: 2.778e-03, eta: 4:42:13, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8722, loss: 1.8722 +2023-12-25 04:41:34,089 - pyskl - INFO - Epoch [118][800/1281] lr: 2.765e-03, eta: 4:41:33, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8664, loss: 1.8664 +2023-12-25 04:42:16,722 - pyskl - INFO - Epoch [118][900/1281] lr: 2.753e-03, eta: 4:40:53, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8621, loss: 1.8621 +2023-12-25 04:42:59,362 - pyskl - INFO - Epoch [118][1000/1281] lr: 2.740e-03, eta: 4:40:13, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8742, loss: 1.8742 +2023-12-25 04:43:35,980 - pyskl - INFO - Epoch [118][1100/1281] lr: 2.727e-03, eta: 4:39:31, time: 0.366, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8599, loss: 1.8599 +2023-12-25 04:44:08,656 - pyskl - INFO - Epoch [118][1200/1281] lr: 2.714e-03, eta: 4:38:48, time: 0.327, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8716, loss: 1.8716 +2023-12-25 04:44:44,593 - pyskl - INFO - Saving checkpoint at 118 epochs +2023-12-25 04:45:57,860 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:45:57,927 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9950 +2023-12-25 04:45:57,928 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:45:57,936 - pyskl - INFO - +mean_acc 0.8831 +2023-12-25 04:45:57,941 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_116.pth was removed +2023-12-25 04:45:58,142 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. +2023-12-25 04:45:58,143 - pyskl - INFO - Best top1_acc is 0.9153 at 118 epoch. +2023-12-25 04:45:58,145 - pyskl - INFO - Epoch(val) [118][533] top1_acc: 0.9153, top5_acc: 0.9950, mean_class_accuracy: 0.8831 +2023-12-25 04:46:57,744 - pyskl - INFO - Epoch [119][100/1281] lr: 2.691e-03, eta: 4:37:30, time: 0.596, data_time: 0.172, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8625, loss: 1.8625 +2023-12-25 04:47:40,368 - pyskl - INFO - Epoch [119][200/1281] lr: 2.679e-03, eta: 4:36:50, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.8735, loss: 1.8735 +2023-12-25 04:48:22,958 - pyskl - INFO - Epoch [119][300/1281] lr: 2.666e-03, eta: 4:36:10, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8559, loss: 1.8559 +2023-12-25 04:49:05,586 - pyskl - INFO - Epoch [119][400/1281] lr: 2.653e-03, eta: 4:35:30, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8564, loss: 1.8564 +2023-12-25 04:49:48,155 - pyskl - INFO - Epoch [119][500/1281] lr: 2.641e-03, eta: 4:34:49, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8643, loss: 1.8643 +2023-12-25 04:50:31,598 - pyskl - INFO - Epoch [119][600/1281] lr: 2.628e-03, eta: 4:34:09, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.8709, loss: 1.8709 +2023-12-25 04:51:14,953 - pyskl - INFO - Epoch [119][700/1281] lr: 2.616e-03, eta: 4:33:29, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8592, loss: 1.8592 +2023-12-25 04:51:58,401 - pyskl - INFO - Epoch [119][800/1281] lr: 2.603e-03, eta: 4:32:49, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8547, loss: 1.8547 +2023-12-25 04:52:41,820 - pyskl - INFO - Epoch [119][900/1281] lr: 2.591e-03, eta: 4:32:09, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8528, loss: 1.8528 +2023-12-25 04:53:25,317 - pyskl - INFO - Epoch [119][1000/1281] lr: 2.578e-03, eta: 4:31:29, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8594, loss: 1.8594 +2023-12-25 04:54:01,724 - pyskl - INFO - Epoch [119][1100/1281] lr: 2.566e-03, eta: 4:30:48, time: 0.364, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8589, loss: 1.8589 +2023-12-25 04:54:34,507 - pyskl - INFO - Epoch [119][1200/1281] lr: 2.554e-03, eta: 4:30:05, time: 0.328, data_time: 0.000, memory: 4130, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.8693, loss: 1.8693 +2023-12-25 04:55:10,271 - pyskl - INFO - Saving checkpoint at 119 epochs +2023-12-25 04:56:23,819 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 04:56:23,894 - pyskl - INFO - +top1_acc 0.9136 +top5_acc 0.9944 +2023-12-25 04:56:23,894 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 04:56:23,903 - pyskl - INFO - +mean_acc 0.8802 +2023-12-25 04:56:23,906 - pyskl - INFO - Epoch(val) [119][533] top1_acc: 0.9136, top5_acc: 0.9944, mean_class_accuracy: 0.8802 +2023-12-25 04:57:23,486 - pyskl - INFO - Epoch [120][100/1281] lr: 2.531e-03, eta: 4:28:47, time: 0.596, data_time: 0.169, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8585, loss: 1.8585 +2023-12-25 04:58:06,167 - pyskl - INFO - Epoch [120][200/1281] lr: 2.519e-03, eta: 4:28:07, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8607, loss: 1.8607 +2023-12-25 04:58:48,685 - pyskl - INFO - Epoch [120][300/1281] lr: 2.507e-03, eta: 4:27:27, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8648, loss: 1.8648 +2023-12-25 04:59:31,365 - pyskl - INFO - Epoch [120][400/1281] lr: 2.494e-03, eta: 4:26:47, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8622, loss: 1.8622 +2023-12-25 05:00:14,001 - pyskl - INFO - Epoch [120][500/1281] lr: 2.482e-03, eta: 4:26:06, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8579, loss: 1.8579 +2023-12-25 05:00:56,575 - pyskl - INFO - Epoch [120][600/1281] lr: 2.470e-03, eta: 4:25:26, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8577, loss: 1.8577 +2023-12-25 05:01:39,269 - pyskl - INFO - Epoch [120][700/1281] lr: 2.458e-03, eta: 4:24:46, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8650, loss: 1.8650 +2023-12-25 05:02:21,951 - pyskl - INFO - Epoch [120][800/1281] lr: 2.446e-03, eta: 4:24:06, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8589, loss: 1.8589 +2023-12-25 05:03:04,658 - pyskl - INFO - Epoch [120][900/1281] lr: 2.433e-03, eta: 4:23:25, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8606, loss: 1.8606 +2023-12-25 05:03:47,389 - pyskl - INFO - Epoch [120][1000/1281] lr: 2.421e-03, eta: 4:22:45, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8558, loss: 1.8558 +2023-12-25 05:04:23,470 - pyskl - INFO - Epoch [120][1100/1281] lr: 2.409e-03, eta: 4:22:03, time: 0.361, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8623, loss: 1.8623 +2023-12-25 05:04:55,736 - pyskl - INFO - Epoch [120][1200/1281] lr: 2.397e-03, eta: 4:21:21, time: 0.323, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8546, loss: 1.8546 +2023-12-25 05:05:31,946 - pyskl - INFO - Saving checkpoint at 120 epochs +2023-12-25 05:06:44,110 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:06:44,164 - pyskl - INFO - +top1_acc 0.9220 +top5_acc 0.9955 +2023-12-25 05:06:44,164 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:06:44,170 - pyskl - INFO - +mean_acc 0.8921 +2023-12-25 05:06:44,174 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_118.pth was removed +2023-12-25 05:06:44,355 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. +2023-12-25 05:06:44,355 - pyskl - INFO - Best top1_acc is 0.9220 at 120 epoch. +2023-12-25 05:06:44,358 - pyskl - INFO - Epoch(val) [120][533] top1_acc: 0.9220, top5_acc: 0.9955, mean_class_accuracy: 0.8921 +2023-12-25 05:07:43,842 - pyskl - INFO - Epoch [121][100/1281] lr: 2.375e-03, eta: 4:20:03, time: 0.595, data_time: 0.169, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8508, loss: 1.8508 +2023-12-25 05:08:26,537 - pyskl - INFO - Epoch [121][200/1281] lr: 2.363e-03, eta: 4:19:23, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8535, loss: 1.8535 +2023-12-25 05:09:09,018 - pyskl - INFO - Epoch [121][300/1281] lr: 2.351e-03, eta: 4:18:43, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8522, loss: 1.8522 +2023-12-25 05:09:51,603 - pyskl - INFO - Epoch [121][400/1281] lr: 2.340e-03, eta: 4:18:03, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8534, loss: 1.8534 +2023-12-25 05:10:34,164 - pyskl - INFO - Epoch [121][500/1281] lr: 2.328e-03, eta: 4:17:22, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8538, loss: 1.8538 +2023-12-25 05:11:16,780 - pyskl - INFO - Epoch [121][600/1281] lr: 2.316e-03, eta: 4:16:42, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.8646, loss: 1.8646 +2023-12-25 05:11:59,420 - pyskl - INFO - Epoch [121][700/1281] lr: 2.304e-03, eta: 4:16:02, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.8640, loss: 1.8640 +2023-12-25 05:12:42,022 - pyskl - INFO - Epoch [121][800/1281] lr: 2.292e-03, eta: 4:15:22, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8657, loss: 1.8657 +2023-12-25 05:13:25,390 - pyskl - INFO - Epoch [121][900/1281] lr: 2.280e-03, eta: 4:14:41, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8535, loss: 1.8535 +2023-12-25 05:14:08,737 - pyskl - INFO - Epoch [121][1000/1281] lr: 2.269e-03, eta: 4:14:01, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8622, loss: 1.8622 +2023-12-25 05:14:46,293 - pyskl - INFO - Epoch [121][1100/1281] lr: 2.257e-03, eta: 4:13:20, time: 0.376, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8599, loss: 1.8599 +2023-12-25 05:15:18,124 - pyskl - INFO - Epoch [121][1200/1281] lr: 2.245e-03, eta: 4:12:37, time: 0.318, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8618, loss: 1.8618 +2023-12-25 05:15:55,156 - pyskl - INFO - Saving checkpoint at 121 epochs +2023-12-25 05:17:07,768 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:17:07,823 - pyskl - INFO - +top1_acc 0.9195 +top5_acc 0.9948 +2023-12-25 05:17:07,823 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:17:07,829 - pyskl - INFO - +mean_acc 0.8909 +2023-12-25 05:17:07,831 - pyskl - INFO - Epoch(val) [121][533] top1_acc: 0.9195, top5_acc: 0.9948, mean_class_accuracy: 0.8909 +2023-12-25 05:18:06,921 - pyskl - INFO - Epoch [122][100/1281] lr: 2.224e-03, eta: 4:11:20, time: 0.591, data_time: 0.166, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8550, loss: 1.8550 +2023-12-25 05:18:49,580 - pyskl - INFO - Epoch [122][200/1281] lr: 2.212e-03, eta: 4:10:40, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8542, loss: 1.8542 +2023-12-25 05:19:32,797 - pyskl - INFO - Epoch [122][300/1281] lr: 2.201e-03, eta: 4:10:00, time: 0.432, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8564, loss: 1.8564 +2023-12-25 05:20:16,202 - pyskl - INFO - Epoch [122][400/1281] lr: 2.189e-03, eta: 4:09:19, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8564, loss: 1.8564 +2023-12-25 05:20:59,729 - pyskl - INFO - Epoch [122][500/1281] lr: 2.178e-03, eta: 4:08:39, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.8658, loss: 1.8658 +2023-12-25 05:21:43,097 - pyskl - INFO - Epoch [122][600/1281] lr: 2.166e-03, eta: 4:07:59, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.8816, loss: 1.8816 +2023-12-25 05:22:26,017 - pyskl - INFO - Epoch [122][700/1281] lr: 2.155e-03, eta: 4:07:19, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8582, loss: 1.8582 +2023-12-25 05:23:08,683 - pyskl - INFO - Epoch [122][800/1281] lr: 2.143e-03, eta: 4:06:39, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8615, loss: 1.8615 +2023-12-25 05:23:51,308 - pyskl - INFO - Epoch [122][900/1281] lr: 2.132e-03, eta: 4:05:59, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8600, loss: 1.8600 +2023-12-25 05:24:33,822 - pyskl - INFO - Epoch [122][1000/1281] lr: 2.120e-03, eta: 4:05:18, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.8650, loss: 1.8650 +2023-12-25 05:25:11,341 - pyskl - INFO - Epoch [122][1100/1281] lr: 2.109e-03, eta: 4:04:37, time: 0.375, data_time: 0.000, memory: 4130, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.8722, loss: 1.8722 +2023-12-25 05:25:42,752 - pyskl - INFO - Epoch [122][1200/1281] lr: 2.098e-03, eta: 4:03:54, time: 0.314, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8602, loss: 1.8602 +2023-12-25 05:26:19,634 - pyskl - INFO - Saving checkpoint at 122 epochs +2023-12-25 05:27:30,630 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:27:30,686 - pyskl - INFO - +top1_acc 0.9194 +top5_acc 0.9955 +2023-12-25 05:27:30,686 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:27:30,693 - pyskl - INFO - +mean_acc 0.8909 +2023-12-25 05:27:30,695 - pyskl - INFO - Epoch(val) [122][533] top1_acc: 0.9194, top5_acc: 0.9955, mean_class_accuracy: 0.8909 +2023-12-25 05:28:30,709 - pyskl - INFO - Epoch [123][100/1281] lr: 2.077e-03, eta: 4:02:37, time: 0.600, data_time: 0.172, memory: 4130, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.8694, loss: 1.8694 +2023-12-25 05:29:13,443 - pyskl - INFO - Epoch [123][200/1281] lr: 2.066e-03, eta: 4:01:57, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8604, loss: 1.8604 +2023-12-25 05:29:56,068 - pyskl - INFO - Epoch [123][300/1281] lr: 2.055e-03, eta: 4:01:17, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.8633, loss: 1.8633 +2023-12-25 05:30:38,661 - pyskl - INFO - Epoch [123][400/1281] lr: 2.044e-03, eta: 4:00:36, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8599, loss: 1.8599 +2023-12-25 05:31:21,377 - pyskl - INFO - Epoch [123][500/1281] lr: 2.032e-03, eta: 3:59:56, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.8588, loss: 1.8588 +2023-12-25 05:32:03,891 - pyskl - INFO - Epoch [123][600/1281] lr: 2.021e-03, eta: 3:59:16, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.8597, loss: 1.8597 +2023-12-25 05:32:46,435 - pyskl - INFO - Epoch [123][700/1281] lr: 2.010e-03, eta: 3:58:36, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8552, loss: 1.8552 +2023-12-25 05:33:29,152 - pyskl - INFO - Epoch [123][800/1281] lr: 1.999e-03, eta: 3:57:55, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8570, loss: 1.8570 +2023-12-25 05:34:11,767 - pyskl - INFO - Epoch [123][900/1281] lr: 1.988e-03, eta: 3:57:15, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8547, loss: 1.8547 +2023-12-25 05:34:54,380 - pyskl - INFO - Epoch [123][1000/1281] lr: 1.977e-03, eta: 3:56:35, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8568, loss: 1.8568 +2023-12-25 05:35:32,106 - pyskl - INFO - Epoch [123][1100/1281] lr: 1.966e-03, eta: 3:55:53, time: 0.377, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8541, loss: 1.8541 +2023-12-25 05:36:03,555 - pyskl - INFO - Epoch [123][1200/1281] lr: 1.955e-03, eta: 3:55:11, time: 0.314, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8528, loss: 1.8528 +2023-12-25 05:36:40,477 - pyskl - INFO - Saving checkpoint at 123 epochs +2023-12-25 05:37:53,365 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:37:53,419 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9955 +2023-12-25 05:37:53,419 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:37:53,425 - pyskl - INFO - +mean_acc 0.8898 +2023-12-25 05:37:53,427 - pyskl - INFO - Epoch(val) [123][533] top1_acc: 0.9205, top5_acc: 0.9955, mean_class_accuracy: 0.8898 +2023-12-25 05:38:53,533 - pyskl - INFO - Epoch [124][100/1281] lr: 1.935e-03, eta: 3:53:54, time: 0.601, data_time: 0.175, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8504, loss: 1.8504 +2023-12-25 05:39:36,211 - pyskl - INFO - Epoch [124][200/1281] lr: 1.924e-03, eta: 3:53:14, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8510, loss: 1.8510 +2023-12-25 05:40:18,765 - pyskl - INFO - Epoch [124][300/1281] lr: 1.913e-03, eta: 3:52:33, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8498, loss: 1.8498 +2023-12-25 05:41:01,286 - pyskl - INFO - Epoch [124][400/1281] lr: 1.902e-03, eta: 3:51:53, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8520, loss: 1.8520 +2023-12-25 05:41:44,001 - pyskl - INFO - Epoch [124][500/1281] lr: 1.892e-03, eta: 3:51:13, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8526, loss: 1.8526 +2023-12-25 05:42:26,586 - pyskl - INFO - Epoch [124][600/1281] lr: 1.881e-03, eta: 3:50:33, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8526, loss: 1.8526 +2023-12-25 05:43:09,232 - pyskl - INFO - Epoch [124][700/1281] lr: 1.870e-03, eta: 3:49:52, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8538, loss: 1.8538 +2023-12-25 05:43:51,910 - pyskl - INFO - Epoch [124][800/1281] lr: 1.859e-03, eta: 3:49:12, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8503, loss: 1.8503 +2023-12-25 05:44:34,639 - pyskl - INFO - Epoch [124][900/1281] lr: 1.849e-03, eta: 3:48:32, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8554, loss: 1.8554 +2023-12-25 05:45:17,210 - pyskl - INFO - Epoch [124][1000/1281] lr: 1.838e-03, eta: 3:47:51, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8556, loss: 1.8556 +2023-12-25 05:45:53,294 - pyskl - INFO - Epoch [124][1100/1281] lr: 1.827e-03, eta: 3:47:10, time: 0.361, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8585, loss: 1.8585 +2023-12-25 05:46:25,794 - pyskl - INFO - Epoch [124][1200/1281] lr: 1.817e-03, eta: 3:46:27, time: 0.325, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8527, loss: 1.8527 +2023-12-25 05:47:01,962 - pyskl - INFO - Saving checkpoint at 124 epochs +2023-12-25 05:48:14,953 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:48:15,008 - pyskl - INFO - +top1_acc 0.9149 +top5_acc 0.9948 +2023-12-25 05:48:15,008 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:48:15,017 - pyskl - INFO - +mean_acc 0.8809 +2023-12-25 05:48:15,020 - pyskl - INFO - Epoch(val) [124][533] top1_acc: 0.9149, top5_acc: 0.9948, mean_class_accuracy: 0.8809 +2023-12-25 05:49:15,216 - pyskl - INFO - Epoch [125][100/1281] lr: 1.797e-03, eta: 3:45:11, time: 0.602, data_time: 0.169, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8505, loss: 1.8505 +2023-12-25 05:49:58,654 - pyskl - INFO - Epoch [125][200/1281] lr: 1.787e-03, eta: 3:44:31, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8566, loss: 1.8566 +2023-12-25 05:50:42,107 - pyskl - INFO - Epoch [125][300/1281] lr: 1.776e-03, eta: 3:43:51, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8511, loss: 1.8511 +2023-12-25 05:51:25,447 - pyskl - INFO - Epoch [125][400/1281] lr: 1.766e-03, eta: 3:43:10, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8565, loss: 1.8565 +2023-12-25 05:52:08,904 - pyskl - INFO - Epoch [125][500/1281] lr: 1.755e-03, eta: 3:42:30, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8616, loss: 1.8616 +2023-12-25 05:52:52,372 - pyskl - INFO - Epoch [125][600/1281] lr: 1.745e-03, eta: 3:41:50, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8556, loss: 1.8556 +2023-12-25 05:53:35,688 - pyskl - INFO - Epoch [125][700/1281] lr: 1.735e-03, eta: 3:41:10, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8503, loss: 1.8503 +2023-12-25 05:54:19,056 - pyskl - INFO - Epoch [125][800/1281] lr: 1.724e-03, eta: 3:40:30, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8496, loss: 1.8496 +2023-12-25 05:55:02,431 - pyskl - INFO - Epoch [125][900/1281] lr: 1.714e-03, eta: 3:39:50, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8535, loss: 1.8535 +2023-12-25 05:55:45,765 - pyskl - INFO - Epoch [125][1000/1281] lr: 1.704e-03, eta: 3:39:10, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8547, loss: 1.8547 +2023-12-25 05:56:22,718 - pyskl - INFO - Epoch [125][1100/1281] lr: 1.693e-03, eta: 3:38:28, time: 0.370, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8575, loss: 1.8575 +2023-12-25 05:56:55,422 - pyskl - INFO - Epoch [125][1200/1281] lr: 1.683e-03, eta: 3:37:46, time: 0.327, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8536, loss: 1.8536 +2023-12-25 05:57:31,404 - pyskl - INFO - Saving checkpoint at 125 epochs +2023-12-25 05:58:44,738 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 05:58:44,793 - pyskl - INFO - +top1_acc 0.9224 +top5_acc 0.9951 +2023-12-25 05:58:44,793 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 05:58:44,800 - pyskl - INFO - +mean_acc 0.8945 +2023-12-25 05:58:44,804 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_120.pth was removed +2023-12-25 05:58:45,009 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. +2023-12-25 05:58:45,009 - pyskl - INFO - Best top1_acc is 0.9224 at 125 epoch. +2023-12-25 05:58:45,012 - pyskl - INFO - Epoch(val) [125][533] top1_acc: 0.9224, top5_acc: 0.9951, mean_class_accuracy: 0.8945 +2023-12-25 05:59:44,845 - pyskl - INFO - Epoch [126][100/1281] lr: 1.665e-03, eta: 3:36:29, time: 0.598, data_time: 0.173, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8550, loss: 1.8550 +2023-12-25 06:00:27,439 - pyskl - INFO - Epoch [126][200/1281] lr: 1.654e-03, eta: 3:35:49, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8514, loss: 1.8514 +2023-12-25 06:01:10,060 - pyskl - INFO - Epoch [126][300/1281] lr: 1.644e-03, eta: 3:35:09, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8509, loss: 1.8509 +2023-12-25 06:01:52,656 - pyskl - INFO - Epoch [126][400/1281] lr: 1.634e-03, eta: 3:34:28, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8545, loss: 1.8545 +2023-12-25 06:02:35,229 - pyskl - INFO - Epoch [126][500/1281] lr: 1.624e-03, eta: 3:33:48, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8537, loss: 1.8537 +2023-12-25 06:03:17,844 - pyskl - INFO - Epoch [126][600/1281] lr: 1.614e-03, eta: 3:33:08, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8531, loss: 1.8531 +2023-12-25 06:04:00,474 - pyskl - INFO - Epoch [126][700/1281] lr: 1.604e-03, eta: 3:32:27, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8523, loss: 1.8523 +2023-12-25 06:04:43,775 - pyskl - INFO - Epoch [126][800/1281] lr: 1.594e-03, eta: 3:31:47, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8480, loss: 1.8480 +2023-12-25 06:05:27,166 - pyskl - INFO - Epoch [126][900/1281] lr: 1.584e-03, eta: 3:31:07, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8509, loss: 1.8509 +2023-12-25 06:06:10,536 - pyskl - INFO - Epoch [126][1000/1281] lr: 1.574e-03, eta: 3:30:27, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8512, loss: 1.8512 +2023-12-25 06:06:46,785 - pyskl - INFO - Epoch [126][1100/1281] lr: 1.564e-03, eta: 3:29:45, time: 0.362, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8480, loss: 1.8480 +2023-12-25 06:07:20,031 - pyskl - INFO - Epoch [126][1200/1281] lr: 1.554e-03, eta: 3:29:03, time: 0.332, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8544, loss: 1.8544 +2023-12-25 06:07:55,420 - pyskl - INFO - Saving checkpoint at 126 epochs +2023-12-25 06:09:08,352 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 06:09:08,410 - pyskl - INFO - +top1_acc 0.9220 +top5_acc 0.9952 +2023-12-25 06:09:08,411 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 06:09:08,418 - pyskl - INFO - +mean_acc 0.8965 +2023-12-25 06:09:08,420 - pyskl - INFO - Epoch(val) [126][533] top1_acc: 0.9220, top5_acc: 0.9952, mean_class_accuracy: 0.8965 +2023-12-25 06:10:07,585 - pyskl - INFO - Epoch [127][100/1281] lr: 1.536e-03, eta: 3:27:47, time: 0.592, data_time: 0.166, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8487, loss: 1.8487 +2023-12-25 06:10:50,166 - pyskl - INFO - Epoch [127][200/1281] lr: 1.527e-03, eta: 3:27:06, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8491, loss: 1.8491 +2023-12-25 06:11:32,847 - pyskl - INFO - Epoch [127][300/1281] lr: 1.517e-03, eta: 3:26:26, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8516, loss: 1.8516 +2023-12-25 06:12:15,591 - pyskl - INFO - Epoch [127][400/1281] lr: 1.507e-03, eta: 3:25:46, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 +2023-12-25 06:12:58,177 - pyskl - INFO - Epoch [127][500/1281] lr: 1.497e-03, eta: 3:25:06, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8508, loss: 1.8508 +2023-12-25 06:13:40,695 - pyskl - INFO - Epoch [127][600/1281] lr: 1.488e-03, eta: 3:24:25, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8518, loss: 1.8518 +2023-12-25 06:14:23,442 - pyskl - INFO - Epoch [127][700/1281] lr: 1.478e-03, eta: 3:23:45, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8564, loss: 1.8564 +2023-12-25 06:15:05,971 - pyskl - INFO - Epoch [127][800/1281] lr: 1.468e-03, eta: 3:23:05, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8535, loss: 1.8535 +2023-12-25 06:15:48,646 - pyskl - INFO - Epoch [127][900/1281] lr: 1.459e-03, eta: 3:22:24, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8500, loss: 1.8500 +2023-12-25 06:16:31,258 - pyskl - INFO - Epoch [127][1000/1281] lr: 1.449e-03, eta: 3:21:44, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8523, loss: 1.8523 +2023-12-25 06:17:07,921 - pyskl - INFO - Epoch [127][1100/1281] lr: 1.440e-03, eta: 3:21:02, time: 0.367, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8487, loss: 1.8487 +2023-12-25 06:17:40,618 - pyskl - INFO - Epoch [127][1200/1281] lr: 1.430e-03, eta: 3:20:20, time: 0.327, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8520, loss: 1.8520 +2023-12-25 06:18:16,654 - pyskl - INFO - Saving checkpoint at 127 epochs +2023-12-25 06:19:29,422 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 06:19:29,478 - pyskl - INFO - +top1_acc 0.9200 +top5_acc 0.9955 +2023-12-25 06:19:29,478 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 06:19:29,485 - pyskl - INFO - +mean_acc 0.8908 +2023-12-25 06:19:29,487 - pyskl - INFO - Epoch(val) [127][533] top1_acc: 0.9200, top5_acc: 0.9955, mean_class_accuracy: 0.8908 +2023-12-25 06:20:28,944 - pyskl - INFO - Epoch [128][100/1281] lr: 1.413e-03, eta: 3:19:04, time: 0.595, data_time: 0.168, memory: 4130, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.8535, loss: 1.8535 +2023-12-25 06:21:11,408 - pyskl - INFO - Epoch [128][200/1281] lr: 1.404e-03, eta: 3:18:24, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8521, loss: 1.8521 +2023-12-25 06:21:53,968 - pyskl - INFO - Epoch [128][300/1281] lr: 1.394e-03, eta: 3:17:43, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8529, loss: 1.8529 +2023-12-25 06:22:36,522 - pyskl - INFO - Epoch [128][400/1281] lr: 1.385e-03, eta: 3:17:03, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 +2023-12-25 06:23:19,092 - pyskl - INFO - Epoch [128][500/1281] lr: 1.376e-03, eta: 3:16:23, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.8534, loss: 1.8534 +2023-12-25 06:24:01,825 - pyskl - INFO - Epoch [128][600/1281] lr: 1.366e-03, eta: 3:15:42, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8504, loss: 1.8504 +2023-12-25 06:24:44,429 - pyskl - INFO - Epoch [128][700/1281] lr: 1.357e-03, eta: 3:15:02, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8482, loss: 1.8482 +2023-12-25 06:25:26,991 - pyskl - INFO - Epoch [128][800/1281] lr: 1.348e-03, eta: 3:14:22, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8491, loss: 1.8491 +2023-12-25 06:26:09,832 - pyskl - INFO - Epoch [128][900/1281] lr: 1.339e-03, eta: 3:13:41, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.8548, loss: 1.8548 +2023-12-25 06:26:52,616 - pyskl - INFO - Epoch [128][1000/1281] lr: 1.329e-03, eta: 3:13:01, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8522, loss: 1.8522 +2023-12-25 06:27:29,469 - pyskl - INFO - Epoch [128][1100/1281] lr: 1.320e-03, eta: 3:12:20, time: 0.369, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8492, loss: 1.8492 +2023-12-25 06:28:00,820 - pyskl - INFO - Epoch [128][1200/1281] lr: 1.311e-03, eta: 3:11:37, time: 0.313, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8482, loss: 1.8482 +2023-12-25 06:28:37,667 - pyskl - INFO - Saving checkpoint at 128 epochs +2023-12-25 06:29:49,801 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 06:29:49,861 - pyskl - INFO - +top1_acc 0.9224 +top5_acc 0.9962 +2023-12-25 06:29:49,862 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 06:29:49,871 - pyskl - INFO - +mean_acc 0.8935 +2023-12-25 06:29:49,873 - pyskl - INFO - Epoch(val) [128][533] top1_acc: 0.9224, top5_acc: 0.9962, mean_class_accuracy: 0.8935 +2023-12-25 06:30:49,667 - pyskl - INFO - Epoch [129][100/1281] lr: 1.295e-03, eta: 3:10:21, time: 0.598, data_time: 0.173, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 +2023-12-25 06:31:32,316 - pyskl - INFO - Epoch [129][200/1281] lr: 1.286e-03, eta: 3:09:41, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8507, loss: 1.8507 +2023-12-25 06:32:14,937 - pyskl - INFO - Epoch [129][300/1281] lr: 1.277e-03, eta: 3:09:01, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8508, loss: 1.8508 +2023-12-25 06:32:57,613 - pyskl - INFO - Epoch [129][400/1281] lr: 1.268e-03, eta: 3:08:20, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8505, loss: 1.8505 +2023-12-25 06:33:40,393 - pyskl - INFO - Epoch [129][500/1281] lr: 1.259e-03, eta: 3:07:40, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8479, loss: 1.8479 +2023-12-25 06:34:23,074 - pyskl - INFO - Epoch [129][600/1281] lr: 1.250e-03, eta: 3:07:00, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8486, loss: 1.8486 +2023-12-25 06:35:05,725 - pyskl - INFO - Epoch [129][700/1281] lr: 1.241e-03, eta: 3:06:19, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8497, loss: 1.8497 +2023-12-25 06:35:48,475 - pyskl - INFO - Epoch [129][800/1281] lr: 1.232e-03, eta: 3:05:39, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8521, loss: 1.8521 +2023-12-25 06:36:31,085 - pyskl - INFO - Epoch [129][900/1281] lr: 1.223e-03, eta: 3:04:59, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8485, loss: 1.8485 +2023-12-25 06:37:13,662 - pyskl - INFO - Epoch [129][1000/1281] lr: 1.214e-03, eta: 3:04:18, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8473, loss: 1.8473 +2023-12-25 06:37:50,998 - pyskl - INFO - Epoch [129][1100/1281] lr: 1.206e-03, eta: 3:03:37, time: 0.373, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8488, loss: 1.8488 +2023-12-25 06:38:21,840 - pyskl - INFO - Epoch [129][1200/1281] lr: 1.197e-03, eta: 3:02:55, time: 0.308, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8478, loss: 1.8478 +2023-12-25 06:38:58,779 - pyskl - INFO - Saving checkpoint at 129 epochs +2023-12-25 06:40:08,838 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 06:40:08,896 - pyskl - INFO - +top1_acc 0.9250 +top5_acc 0.9952 +2023-12-25 06:40:08,897 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 06:40:08,905 - pyskl - INFO - +mean_acc 0.8969 +2023-12-25 06:40:08,910 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_125.pth was removed +2023-12-25 06:40:09,114 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2023-12-25 06:40:09,114 - pyskl - INFO - Best top1_acc is 0.9250 at 129 epoch. +2023-12-25 06:40:09,117 - pyskl - INFO - Epoch(val) [129][533] top1_acc: 0.9250, top5_acc: 0.9952, mean_class_accuracy: 0.8969 +2023-12-25 06:41:09,663 - pyskl - INFO - Epoch [130][100/1281] lr: 1.181e-03, eta: 3:01:39, time: 0.605, data_time: 0.171, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8479, loss: 1.8479 +2023-12-25 06:41:53,185 - pyskl - INFO - Epoch [130][200/1281] lr: 1.172e-03, eta: 3:00:59, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8506, loss: 1.8506 +2023-12-25 06:42:36,728 - pyskl - INFO - Epoch [130][300/1281] lr: 1.164e-03, eta: 3:00:19, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8498, loss: 1.8498 +2023-12-25 06:43:20,221 - pyskl - INFO - Epoch [130][400/1281] lr: 1.155e-03, eta: 2:59:38, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8475, loss: 1.8475 +2023-12-25 06:44:03,775 - pyskl - INFO - Epoch [130][500/1281] lr: 1.147e-03, eta: 2:58:58, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8482, loss: 1.8482 +2023-12-25 06:44:47,198 - pyskl - INFO - Epoch [130][600/1281] lr: 1.138e-03, eta: 2:58:18, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8477, loss: 1.8477 +2023-12-25 06:45:30,697 - pyskl - INFO - Epoch [130][700/1281] lr: 1.130e-03, eta: 2:57:38, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8489, loss: 1.8489 +2023-12-25 06:46:14,000 - pyskl - INFO - Epoch [130][800/1281] lr: 1.121e-03, eta: 2:56:57, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8479, loss: 1.8479 +2023-12-25 06:46:56,631 - pyskl - INFO - Epoch [130][900/1281] lr: 1.113e-03, eta: 2:56:17, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 06:47:39,200 - pyskl - INFO - Epoch [130][1000/1281] lr: 1.104e-03, eta: 2:55:37, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8473, loss: 1.8473 +2023-12-25 06:48:18,071 - pyskl - INFO - Epoch [130][1100/1281] lr: 1.096e-03, eta: 2:54:56, time: 0.389, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8473, loss: 1.8473 +2023-12-25 06:48:47,475 - pyskl - INFO - Epoch [130][1200/1281] lr: 1.088e-03, eta: 2:54:13, time: 0.294, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8486, loss: 1.8486 +2023-12-25 06:49:24,297 - pyskl - INFO - Saving checkpoint at 130 epochs +2023-12-25 06:50:32,570 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 06:50:32,627 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9959 +2023-12-25 06:50:32,627 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 06:50:32,634 - pyskl - INFO - +mean_acc 0.8994 +2023-12-25 06:50:32,639 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_129.pth was removed +2023-12-25 06:50:32,820 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2023-12-25 06:50:32,820 - pyskl - INFO - Best top1_acc is 0.9271 at 130 epoch. +2023-12-25 06:50:32,823 - pyskl - INFO - Epoch(val) [130][533] top1_acc: 0.9271, top5_acc: 0.9959, mean_class_accuracy: 0.8994 +2023-12-25 06:51:32,838 - pyskl - INFO - Epoch [131][100/1281] lr: 1.072e-03, eta: 2:52:58, time: 0.600, data_time: 0.172, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8472, loss: 1.8472 +2023-12-25 06:52:15,405 - pyskl - INFO - Epoch [131][200/1281] lr: 1.064e-03, eta: 2:52:17, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 +2023-12-25 06:52:58,019 - pyskl - INFO - Epoch [131][300/1281] lr: 1.056e-03, eta: 2:51:37, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 +2023-12-25 06:53:40,666 - pyskl - INFO - Epoch [131][400/1281] lr: 1.048e-03, eta: 2:50:56, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 +2023-12-25 06:54:23,545 - pyskl - INFO - Epoch [131][500/1281] lr: 1.040e-03, eta: 2:50:16, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 +2023-12-25 06:55:06,149 - pyskl - INFO - Epoch [131][600/1281] lr: 1.031e-03, eta: 2:49:36, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8477, loss: 1.8477 +2023-12-25 06:55:48,743 - pyskl - INFO - Epoch [131][700/1281] lr: 1.023e-03, eta: 2:48:55, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 +2023-12-25 06:56:31,311 - pyskl - INFO - Epoch [131][800/1281] lr: 1.015e-03, eta: 2:48:15, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 06:57:13,903 - pyskl - INFO - Epoch [131][900/1281] lr: 1.007e-03, eta: 2:47:35, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 06:57:56,590 - pyskl - INFO - Epoch [131][1000/1281] lr: 9.992e-04, eta: 2:46:54, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 06:58:36,421 - pyskl - INFO - Epoch [131][1100/1281] lr: 9.912e-04, eta: 2:46:13, time: 0.398, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 06:59:05,519 - pyskl - INFO - Epoch [131][1200/1281] lr: 9.832e-04, eta: 2:45:31, time: 0.291, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 06:59:42,333 - pyskl - INFO - Saving checkpoint at 131 epochs +2023-12-25 07:00:51,280 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:00:51,348 - pyskl - INFO - +top1_acc 0.9270 +top5_acc 0.9951 +2023-12-25 07:00:51,348 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:00:51,355 - pyskl - INFO - +mean_acc 0.9014 +2023-12-25 07:00:51,357 - pyskl - INFO - Epoch(val) [131][533] top1_acc: 0.9270, top5_acc: 0.9951, mean_class_accuracy: 0.9014 +2023-12-25 07:01:51,539 - pyskl - INFO - Epoch [132][100/1281] lr: 9.689e-04, eta: 2:44:15, time: 0.602, data_time: 0.168, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 07:02:35,036 - pyskl - INFO - Epoch [132][200/1281] lr: 9.610e-04, eta: 2:43:35, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8478, loss: 1.8478 +2023-12-25 07:03:18,479 - pyskl - INFO - Epoch [132][300/1281] lr: 9.532e-04, eta: 2:42:55, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8467, loss: 1.8467 +2023-12-25 07:04:01,226 - pyskl - INFO - Epoch [132][400/1281] lr: 9.454e-04, eta: 2:42:15, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 +2023-12-25 07:04:43,799 - pyskl - INFO - Epoch [132][500/1281] lr: 9.376e-04, eta: 2:41:34, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8477, loss: 1.8477 +2023-12-25 07:05:26,416 - pyskl - INFO - Epoch [132][600/1281] lr: 9.298e-04, eta: 2:40:54, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8502, loss: 1.8502 +2023-12-25 07:06:09,114 - pyskl - INFO - Epoch [132][700/1281] lr: 9.221e-04, eta: 2:40:13, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 +2023-12-25 07:06:51,655 - pyskl - INFO - Epoch [132][800/1281] lr: 9.144e-04, eta: 2:39:33, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 07:07:34,364 - pyskl - INFO - Epoch [132][900/1281] lr: 9.068e-04, eta: 2:38:53, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 +2023-12-25 07:08:16,956 - pyskl - INFO - Epoch [132][1000/1281] lr: 8.991e-04, eta: 2:38:12, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 +2023-12-25 07:08:56,946 - pyskl - INFO - Epoch [132][1100/1281] lr: 8.915e-04, eta: 2:37:31, time: 0.400, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 +2023-12-25 07:09:26,377 - pyskl - INFO - Epoch [132][1200/1281] lr: 8.840e-04, eta: 2:36:49, time: 0.294, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 +2023-12-25 07:10:03,189 - pyskl - INFO - Saving checkpoint at 132 epochs +2023-12-25 07:11:12,601 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:11:12,662 - pyskl - INFO - +top1_acc 0.9284 +top5_acc 0.9961 +2023-12-25 07:11:12,663 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:11:12,671 - pyskl - INFO - +mean_acc 0.9011 +2023-12-25 07:11:12,675 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_130.pth was removed +2023-12-25 07:11:12,857 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. +2023-12-25 07:11:12,857 - pyskl - INFO - Best top1_acc is 0.9284 at 132 epoch. +2023-12-25 07:11:12,860 - pyskl - INFO - Epoch(val) [132][533] top1_acc: 0.9284, top5_acc: 0.9961, mean_class_accuracy: 0.9011 +2023-12-25 07:12:12,551 - pyskl - INFO - Epoch [133][100/1281] lr: 8.704e-04, eta: 2:35:34, time: 0.597, data_time: 0.171, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 07:12:55,223 - pyskl - INFO - Epoch [133][200/1281] lr: 8.629e-04, eta: 2:34:53, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8485, loss: 1.8485 +2023-12-25 07:13:37,928 - pyskl - INFO - Epoch [133][300/1281] lr: 8.554e-04, eta: 2:34:13, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 +2023-12-25 07:14:20,608 - pyskl - INFO - Epoch [133][400/1281] lr: 8.480e-04, eta: 2:33:33, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8472, loss: 1.8472 +2023-12-25 07:15:03,274 - pyskl - INFO - Epoch [133][500/1281] lr: 8.406e-04, eta: 2:32:52, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8478, loss: 1.8478 +2023-12-25 07:15:45,973 - pyskl - INFO - Epoch [133][600/1281] lr: 8.333e-04, eta: 2:32:12, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 07:16:28,722 - pyskl - INFO - Epoch [133][700/1281] lr: 8.260e-04, eta: 2:31:31, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 07:17:11,343 - pyskl - INFO - Epoch [133][800/1281] lr: 8.187e-04, eta: 2:30:51, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 07:17:53,976 - pyskl - INFO - Epoch [133][900/1281] lr: 8.114e-04, eta: 2:30:11, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.8523, loss: 1.8523 +2023-12-25 07:18:36,617 - pyskl - INFO - Epoch [133][1000/1281] lr: 8.042e-04, eta: 2:29:30, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8505, loss: 1.8505 +2023-12-25 07:19:15,445 - pyskl - INFO - Epoch [133][1100/1281] lr: 7.970e-04, eta: 2:28:49, time: 0.388, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8480, loss: 1.8480 +2023-12-25 07:19:45,092 - pyskl - INFO - Epoch [133][1200/1281] lr: 7.898e-04, eta: 2:28:07, time: 0.297, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 07:20:21,998 - pyskl - INFO - Saving checkpoint at 133 epochs +2023-12-25 07:21:30,836 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:21:30,892 - pyskl - INFO - +top1_acc 0.9277 +top5_acc 0.9958 +2023-12-25 07:21:30,892 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:21:30,899 - pyskl - INFO - +mean_acc 0.8979 +2023-12-25 07:21:30,901 - pyskl - INFO - Epoch(val) [133][533] top1_acc: 0.9277, top5_acc: 0.9958, mean_class_accuracy: 0.8979 +2023-12-25 07:22:31,247 - pyskl - INFO - Epoch [134][100/1281] lr: 7.769e-04, eta: 2:26:52, time: 0.603, data_time: 0.171, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 07:23:14,604 - pyskl - INFO - Epoch [134][200/1281] lr: 7.699e-04, eta: 2:26:12, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8485, loss: 1.8485 +2023-12-25 07:23:58,122 - pyskl - INFO - Epoch [134][300/1281] lr: 7.628e-04, eta: 2:25:31, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 +2023-12-25 07:24:41,475 - pyskl - INFO - Epoch [134][400/1281] lr: 7.558e-04, eta: 2:24:51, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 07:25:24,905 - pyskl - INFO - Epoch [134][500/1281] lr: 7.488e-04, eta: 2:24:11, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 +2023-12-25 07:26:08,304 - pyskl - INFO - Epoch [134][600/1281] lr: 7.419e-04, eta: 2:23:30, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 07:26:51,806 - pyskl - INFO - Epoch [134][700/1281] lr: 7.349e-04, eta: 2:22:50, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 07:27:35,140 - pyskl - INFO - Epoch [134][800/1281] lr: 7.281e-04, eta: 2:22:10, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8486, loss: 1.8486 +2023-12-25 07:28:18,673 - pyskl - INFO - Epoch [134][900/1281] lr: 7.212e-04, eta: 2:21:29, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8449, loss: 1.8449 +2023-12-25 07:29:02,051 - pyskl - INFO - Epoch [134][1000/1281] lr: 7.144e-04, eta: 2:20:49, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 +2023-12-25 07:29:42,349 - pyskl - INFO - Epoch [134][1100/1281] lr: 7.076e-04, eta: 2:20:08, time: 0.403, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8475, loss: 1.8475 +2023-12-25 07:30:11,425 - pyskl - INFO - Epoch [134][1200/1281] lr: 7.008e-04, eta: 2:19:26, time: 0.291, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8476, loss: 1.8476 +2023-12-25 07:30:48,313 - pyskl - INFO - Saving checkpoint at 134 epochs +2023-12-25 07:31:55,845 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:31:55,899 - pyskl - INFO - +top1_acc 0.9276 +top5_acc 0.9959 +2023-12-25 07:31:55,899 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:31:55,906 - pyskl - INFO - +mean_acc 0.9011 +2023-12-25 07:31:55,908 - pyskl - INFO - Epoch(val) [134][533] top1_acc: 0.9276, top5_acc: 0.9959, mean_class_accuracy: 0.9011 +2023-12-25 07:32:55,487 - pyskl - INFO - Epoch [135][100/1281] lr: 6.887e-04, eta: 2:18:11, time: 0.596, data_time: 0.170, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 +2023-12-25 07:33:38,154 - pyskl - INFO - Epoch [135][200/1281] lr: 6.820e-04, eta: 2:17:31, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 07:34:20,802 - pyskl - INFO - Epoch [135][300/1281] lr: 6.753e-04, eta: 2:16:50, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 +2023-12-25 07:35:03,274 - pyskl - INFO - Epoch [135][400/1281] lr: 6.687e-04, eta: 2:16:10, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 07:35:45,861 - pyskl - INFO - Epoch [135][500/1281] lr: 6.622e-04, eta: 2:15:29, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 +2023-12-25 07:36:28,462 - pyskl - INFO - Epoch [135][600/1281] lr: 6.556e-04, eta: 2:14:49, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 07:37:11,146 - pyskl - INFO - Epoch [135][700/1281] lr: 6.491e-04, eta: 2:14:08, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 07:37:53,726 - pyskl - INFO - Epoch [135][800/1281] lr: 6.426e-04, eta: 2:13:28, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 07:38:36,530 - pyskl - INFO - Epoch [135][900/1281] lr: 6.362e-04, eta: 2:12:48, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 +2023-12-25 07:39:19,232 - pyskl - INFO - Epoch [135][1000/1281] lr: 6.297e-04, eta: 2:12:07, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 07:40:00,033 - pyskl - INFO - Epoch [135][1100/1281] lr: 6.233e-04, eta: 2:11:26, time: 0.408, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 +2023-12-25 07:40:26,956 - pyskl - INFO - Epoch [135][1200/1281] lr: 6.170e-04, eta: 2:10:44, time: 0.269, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8449, loss: 1.8449 +2023-12-25 07:41:03,697 - pyskl - INFO - Saving checkpoint at 135 epochs +2023-12-25 07:42:10,191 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:42:10,245 - pyskl - INFO - +top1_acc 0.9264 +top5_acc 0.9955 +2023-12-25 07:42:10,246 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:42:10,253 - pyskl - INFO - +mean_acc 0.8990 +2023-12-25 07:42:10,255 - pyskl - INFO - Epoch(val) [135][533] top1_acc: 0.9264, top5_acc: 0.9955, mean_class_accuracy: 0.8990 +2023-12-25 07:43:10,587 - pyskl - INFO - Epoch [136][100/1281] lr: 6.056e-04, eta: 2:09:29, time: 0.603, data_time: 0.170, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 +2023-12-25 07:43:54,001 - pyskl - INFO - Epoch [136][200/1281] lr: 5.993e-04, eta: 2:08:49, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 07:44:37,390 - pyskl - INFO - Epoch [136][300/1281] lr: 5.931e-04, eta: 2:08:09, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 07:45:20,775 - pyskl - INFO - Epoch [136][400/1281] lr: 5.868e-04, eta: 2:07:28, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 07:46:03,639 - pyskl - INFO - Epoch [136][500/1281] lr: 5.807e-04, eta: 2:06:48, time: 0.429, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 +2023-12-25 07:46:46,292 - pyskl - INFO - Epoch [136][600/1281] lr: 5.745e-04, eta: 2:06:07, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 +2023-12-25 07:47:28,975 - pyskl - INFO - Epoch [136][700/1281] lr: 5.684e-04, eta: 2:05:27, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8479, loss: 1.8479 +2023-12-25 07:48:11,587 - pyskl - INFO - Epoch [136][800/1281] lr: 5.623e-04, eta: 2:04:46, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 07:48:54,243 - pyskl - INFO - Epoch [136][900/1281] lr: 5.563e-04, eta: 2:04:06, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 +2023-12-25 07:49:36,964 - pyskl - INFO - Epoch [136][1000/1281] lr: 5.503e-04, eta: 2:03:26, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 07:50:18,907 - pyskl - INFO - Epoch [136][1100/1281] lr: 5.443e-04, eta: 2:02:45, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 +2023-12-25 07:50:45,215 - pyskl - INFO - Epoch [136][1200/1281] lr: 5.384e-04, eta: 2:02:03, time: 0.263, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 07:51:22,148 - pyskl - INFO - Saving checkpoint at 136 epochs +2023-12-25 07:52:26,875 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 07:52:26,930 - pyskl - INFO - +top1_acc 0.9264 +top5_acc 0.9961 +2023-12-25 07:52:26,930 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 07:52:26,937 - pyskl - INFO - +mean_acc 0.8968 +2023-12-25 07:52:26,938 - pyskl - INFO - Epoch(val) [136][533] top1_acc: 0.9264, top5_acc: 0.9961, mean_class_accuracy: 0.8968 +2023-12-25 07:53:27,618 - pyskl - INFO - Epoch [137][100/1281] lr: 5.277e-04, eta: 2:00:48, time: 0.607, data_time: 0.171, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 07:54:11,092 - pyskl - INFO - Epoch [137][200/1281] lr: 5.218e-04, eta: 2:00:08, time: 0.435, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 07:54:54,539 - pyskl - INFO - Epoch [137][300/1281] lr: 5.160e-04, eta: 1:59:27, time: 0.434, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8473, loss: 1.8473 +2023-12-25 07:55:37,875 - pyskl - INFO - Epoch [137][400/1281] lr: 5.102e-04, eta: 1:58:47, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8474, loss: 1.8474 +2023-12-25 07:56:21,441 - pyskl - INFO - Epoch [137][500/1281] lr: 5.044e-04, eta: 1:58:07, time: 0.436, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 +2023-12-25 07:57:04,239 - pyskl - INFO - Epoch [137][600/1281] lr: 4.987e-04, eta: 1:57:26, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8452, loss: 1.8452 +2023-12-25 07:57:46,994 - pyskl - INFO - Epoch [137][700/1281] lr: 4.930e-04, eta: 1:56:46, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 07:58:29,510 - pyskl - INFO - Epoch [137][800/1281] lr: 4.873e-04, eta: 1:56:05, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 07:59:12,219 - pyskl - INFO - Epoch [137][900/1281] lr: 4.817e-04, eta: 1:55:25, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 07:59:54,792 - pyskl - INFO - Epoch [137][1000/1281] lr: 4.761e-04, eta: 1:54:44, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 +2023-12-25 08:00:38,136 - pyskl - INFO - Epoch [137][1100/1281] lr: 4.705e-04, eta: 1:54:04, time: 0.433, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 08:01:04,222 - pyskl - INFO - Epoch [137][1200/1281] lr: 4.650e-04, eta: 1:53:22, time: 0.261, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 08:01:41,090 - pyskl - INFO - Saving checkpoint at 137 epochs +2023-12-25 08:02:48,305 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:02:48,369 - pyskl - INFO - +top1_acc 0.9262 +top5_acc 0.9960 +2023-12-25 08:02:48,369 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:02:48,376 - pyskl - INFO - +mean_acc 0.8984 +2023-12-25 08:02:48,379 - pyskl - INFO - Epoch(val) [137][533] top1_acc: 0.9262, top5_acc: 0.9960, mean_class_accuracy: 0.8984 +2023-12-25 08:03:48,743 - pyskl - INFO - Epoch [138][100/1281] lr: 4.550e-04, eta: 1:52:07, time: 0.604, data_time: 0.177, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 +2023-12-25 08:04:31,293 - pyskl - INFO - Epoch [138][200/1281] lr: 4.496e-04, eta: 1:51:27, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 08:05:13,990 - pyskl - INFO - Epoch [138][300/1281] lr: 4.442e-04, eta: 1:50:46, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 +2023-12-25 08:05:56,558 - pyskl - INFO - Epoch [138][400/1281] lr: 4.388e-04, eta: 1:50:06, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 08:06:39,163 - pyskl - INFO - Epoch [138][500/1281] lr: 4.334e-04, eta: 1:49:25, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 08:07:21,721 - pyskl - INFO - Epoch [138][600/1281] lr: 4.281e-04, eta: 1:48:45, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8447, loss: 1.8447 +2023-12-25 08:08:04,415 - pyskl - INFO - Epoch [138][700/1281] lr: 4.228e-04, eta: 1:48:04, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 +2023-12-25 08:08:47,138 - pyskl - INFO - Epoch [138][800/1281] lr: 4.176e-04, eta: 1:47:24, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 +2023-12-25 08:09:29,809 - pyskl - INFO - Epoch [138][900/1281] lr: 4.124e-04, eta: 1:46:43, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 +2023-12-25 08:10:12,383 - pyskl - INFO - Epoch [138][1000/1281] lr: 4.072e-04, eta: 1:46:03, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 08:10:54,099 - pyskl - INFO - Epoch [138][1100/1281] lr: 4.020e-04, eta: 1:45:22, time: 0.417, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 08:11:20,254 - pyskl - INFO - Epoch [138][1200/1281] lr: 3.969e-04, eta: 1:44:40, time: 0.262, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8453, loss: 1.8453 +2023-12-25 08:11:57,110 - pyskl - INFO - Saving checkpoint at 138 epochs +2023-12-25 08:13:02,790 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:13:02,848 - pyskl - INFO - +top1_acc 0.9268 +top5_acc 0.9961 +2023-12-25 08:13:02,848 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:13:02,857 - pyskl - INFO - +mean_acc 0.8979 +2023-12-25 08:13:02,859 - pyskl - INFO - Epoch(val) [138][533] top1_acc: 0.9268, top5_acc: 0.9961, mean_class_accuracy: 0.8979 +2023-12-25 08:14:03,153 - pyskl - INFO - Epoch [139][100/1281] lr: 3.877e-04, eta: 1:43:26, time: 0.603, data_time: 0.174, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 08:14:45,742 - pyskl - INFO - Epoch [139][200/1281] lr: 3.827e-04, eta: 1:42:45, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 08:15:28,196 - pyskl - INFO - Epoch [139][300/1281] lr: 3.777e-04, eta: 1:42:05, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 08:16:10,084 - pyskl - INFO - Epoch [139][400/1281] lr: 3.727e-04, eta: 1:41:24, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 08:16:52,682 - pyskl - INFO - Epoch [139][500/1281] lr: 3.678e-04, eta: 1:40:44, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 +2023-12-25 08:17:35,354 - pyskl - INFO - Epoch [139][600/1281] lr: 3.628e-04, eta: 1:40:03, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.8477, loss: 1.8477 +2023-12-25 08:18:17,942 - pyskl - INFO - Epoch [139][700/1281] lr: 3.580e-04, eta: 1:39:23, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 08:19:00,572 - pyskl - INFO - Epoch [139][800/1281] lr: 3.531e-04, eta: 1:38:42, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 08:19:43,229 - pyskl - INFO - Epoch [139][900/1281] lr: 3.483e-04, eta: 1:38:02, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 +2023-12-25 08:20:25,507 - pyskl - INFO - Epoch [139][1000/1281] lr: 3.436e-04, eta: 1:37:21, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 +2023-12-25 08:21:07,739 - pyskl - INFO - Epoch [139][1100/1281] lr: 3.388e-04, eta: 1:36:41, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8453, loss: 1.8453 +2023-12-25 08:21:34,287 - pyskl - INFO - Epoch [139][1200/1281] lr: 3.341e-04, eta: 1:35:59, time: 0.265, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 08:22:10,689 - pyskl - INFO - Saving checkpoint at 139 epochs +2023-12-25 08:23:14,352 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:23:14,406 - pyskl - INFO - +top1_acc 0.9294 +top5_acc 0.9965 +2023-12-25 08:23:14,407 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:23:14,413 - pyskl - INFO - +mean_acc 0.9038 +2023-12-25 08:23:14,418 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_132.pth was removed +2023-12-25 08:23:14,615 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2023-12-25 08:23:14,615 - pyskl - INFO - Best top1_acc is 0.9294 at 139 epoch. +2023-12-25 08:23:14,618 - pyskl - INFO - Epoch(val) [139][533] top1_acc: 0.9294, top5_acc: 0.9965, mean_class_accuracy: 0.9038 +2023-12-25 08:24:12,906 - pyskl - INFO - Epoch [140][100/1281] lr: 3.257e-04, eta: 1:34:44, time: 0.583, data_time: 0.164, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 08:24:54,962 - pyskl - INFO - Epoch [140][200/1281] lr: 3.210e-04, eta: 1:34:04, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8484, loss: 1.8484 +2023-12-25 08:25:36,942 - pyskl - INFO - Epoch [140][300/1281] lr: 3.165e-04, eta: 1:33:23, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8476, loss: 1.8476 +2023-12-25 08:26:19,328 - pyskl - INFO - Epoch [140][400/1281] lr: 3.119e-04, eta: 1:32:43, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 +2023-12-25 08:27:02,011 - pyskl - INFO - Epoch [140][500/1281] lr: 3.074e-04, eta: 1:32:02, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 +2023-12-25 08:27:44,701 - pyskl - INFO - Epoch [140][600/1281] lr: 3.029e-04, eta: 1:31:22, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8474, loss: 1.8474 +2023-12-25 08:28:27,193 - pyskl - INFO - Epoch [140][700/1281] lr: 2.984e-04, eta: 1:30:41, time: 0.425, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 08:29:08,985 - pyskl - INFO - Epoch [140][800/1281] lr: 2.940e-04, eta: 1:30:01, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 08:29:50,892 - pyskl - INFO - Epoch [140][900/1281] lr: 2.896e-04, eta: 1:29:20, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 +2023-12-25 08:30:32,927 - pyskl - INFO - Epoch [140][1000/1281] lr: 2.853e-04, eta: 1:28:40, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8471, loss: 1.8471 +2023-12-25 08:31:14,982 - pyskl - INFO - Epoch [140][1100/1281] lr: 2.809e-04, eta: 1:27:59, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 +2023-12-25 08:31:41,123 - pyskl - INFO - Epoch [140][1200/1281] lr: 2.767e-04, eta: 1:27:17, time: 0.261, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 08:32:17,504 - pyskl - INFO - Saving checkpoint at 140 epochs +2023-12-25 08:33:21,085 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:33:21,144 - pyskl - INFO - +top1_acc 0.9274 +top5_acc 0.9966 +2023-12-25 08:33:21,144 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:33:21,152 - pyskl - INFO - +mean_acc 0.8978 +2023-12-25 08:33:21,155 - pyskl - INFO - Epoch(val) [140][533] top1_acc: 0.9274, top5_acc: 0.9966, mean_class_accuracy: 0.8978 +2023-12-25 08:34:19,798 - pyskl - INFO - Epoch [141][100/1281] lr: 2.690e-04, eta: 1:26:03, time: 0.586, data_time: 0.160, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 08:35:02,411 - pyskl - INFO - Epoch [141][200/1281] lr: 2.648e-04, eta: 1:25:22, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8450, loss: 1.8450 +2023-12-25 08:35:45,134 - pyskl - INFO - Epoch [141][300/1281] lr: 2.606e-04, eta: 1:24:42, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8452, loss: 1.8452 +2023-12-25 08:36:27,864 - pyskl - INFO - Epoch [141][400/1281] lr: 2.565e-04, eta: 1:24:01, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8472, loss: 1.8472 +2023-12-25 08:37:10,262 - pyskl - INFO - Epoch [141][500/1281] lr: 2.524e-04, eta: 1:23:21, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 08:37:52,202 - pyskl - INFO - Epoch [141][600/1281] lr: 2.483e-04, eta: 1:22:40, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 +2023-12-25 08:38:34,262 - pyskl - INFO - Epoch [141][700/1281] lr: 2.443e-04, eta: 1:22:00, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8453, loss: 1.8453 +2023-12-25 08:39:16,160 - pyskl - INFO - Epoch [141][800/1281] lr: 2.402e-04, eta: 1:21:19, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8495, loss: 1.8495 +2023-12-25 08:39:58,036 - pyskl - INFO - Epoch [141][900/1281] lr: 2.363e-04, eta: 1:20:39, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 +2023-12-25 08:40:39,818 - pyskl - INFO - Epoch [141][1000/1281] lr: 2.323e-04, eta: 1:19:58, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 08:41:21,739 - pyskl - INFO - Epoch [141][1100/1281] lr: 2.284e-04, eta: 1:19:17, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 08:41:47,876 - pyskl - INFO - Epoch [141][1200/1281] lr: 2.246e-04, eta: 1:18:36, time: 0.261, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 +2023-12-25 08:42:24,295 - pyskl - INFO - Saving checkpoint at 141 epochs +2023-12-25 08:43:26,805 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:43:26,860 - pyskl - INFO - +top1_acc 0.9274 +top5_acc 0.9962 +2023-12-25 08:43:26,861 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:43:26,868 - pyskl - INFO - +mean_acc 0.8985 +2023-12-25 08:43:26,870 - pyskl - INFO - Epoch(val) [141][533] top1_acc: 0.9274, top5_acc: 0.9962, mean_class_accuracy: 0.8985 +2023-12-25 08:44:25,825 - pyskl - INFO - Epoch [142][100/1281] lr: 2.176e-04, eta: 1:17:21, time: 0.590, data_time: 0.167, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8474, loss: 1.8474 +2023-12-25 08:45:07,955 - pyskl - INFO - Epoch [142][200/1281] lr: 2.139e-04, eta: 1:16:41, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 08:45:50,080 - pyskl - INFO - Epoch [142][300/1281] lr: 2.101e-04, eta: 1:16:00, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 08:46:32,071 - pyskl - INFO - Epoch [142][400/1281] lr: 2.064e-04, eta: 1:15:20, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 +2023-12-25 08:47:14,182 - pyskl - INFO - Epoch [142][500/1281] lr: 2.027e-04, eta: 1:14:39, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 +2023-12-25 08:47:56,176 - pyskl - INFO - Epoch [142][600/1281] lr: 1.991e-04, eta: 1:13:59, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 08:48:38,202 - pyskl - INFO - Epoch [142][700/1281] lr: 1.954e-04, eta: 1:13:18, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 08:49:20,308 - pyskl - INFO - Epoch [142][800/1281] lr: 1.919e-04, eta: 1:12:38, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 +2023-12-25 08:50:02,561 - pyskl - INFO - Epoch [142][900/1281] lr: 1.883e-04, eta: 1:11:57, time: 0.423, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8453, loss: 1.8453 +2023-12-25 08:50:44,556 - pyskl - INFO - Epoch [142][1000/1281] lr: 1.848e-04, eta: 1:11:17, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 08:51:26,667 - pyskl - INFO - Epoch [142][1100/1281] lr: 1.813e-04, eta: 1:10:36, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 08:51:52,027 - pyskl - INFO - Epoch [142][1200/1281] lr: 1.779e-04, eta: 1:09:55, time: 0.254, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 +2023-12-25 08:52:28,562 - pyskl - INFO - Saving checkpoint at 142 epochs +2023-12-25 08:53:31,159 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 08:53:31,215 - pyskl - INFO - +top1_acc 0.9268 +top5_acc 0.9961 +2023-12-25 08:53:31,216 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 08:53:31,223 - pyskl - INFO - +mean_acc 0.9007 +2023-12-25 08:53:31,226 - pyskl - INFO - Epoch(val) [142][533] top1_acc: 0.9268, top5_acc: 0.9961, mean_class_accuracy: 0.9007 +2023-12-25 08:54:29,799 - pyskl - INFO - Epoch [143][100/1281] lr: 1.717e-04, eta: 1:08:40, time: 0.586, data_time: 0.165, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8452, loss: 1.8452 +2023-12-25 08:55:11,890 - pyskl - INFO - Epoch [143][200/1281] lr: 1.683e-04, eta: 1:08:00, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8453, loss: 1.8453 +2023-12-25 08:55:53,801 - pyskl - INFO - Epoch [143][300/1281] lr: 1.650e-04, eta: 1:07:19, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 08:56:35,735 - pyskl - INFO - Epoch [143][400/1281] lr: 1.617e-04, eta: 1:06:39, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8465, loss: 1.8465 +2023-12-25 08:57:17,645 - pyskl - INFO - Epoch [143][500/1281] lr: 1.585e-04, eta: 1:05:58, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 08:57:59,654 - pyskl - INFO - Epoch [143][600/1281] lr: 1.552e-04, eta: 1:05:18, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 08:58:41,675 - pyskl - INFO - Epoch [143][700/1281] lr: 1.520e-04, eta: 1:04:37, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 08:59:23,718 - pyskl - INFO - Epoch [143][800/1281] lr: 1.489e-04, eta: 1:03:57, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 09:00:05,646 - pyskl - INFO - Epoch [143][900/1281] lr: 1.457e-04, eta: 1:03:16, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8477, loss: 1.8477 +2023-12-25 09:00:47,604 - pyskl - INFO - Epoch [143][1000/1281] lr: 1.426e-04, eta: 1:02:35, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8475, loss: 1.8475 +2023-12-25 09:01:29,583 - pyskl - INFO - Epoch [143][1100/1281] lr: 1.396e-04, eta: 1:01:55, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 09:01:55,779 - pyskl - INFO - Epoch [143][1200/1281] lr: 1.366e-04, eta: 1:01:14, time: 0.262, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 09:02:32,089 - pyskl - INFO - Saving checkpoint at 143 epochs +2023-12-25 09:03:34,221 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 09:03:34,276 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9961 +2023-12-25 09:03:34,276 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 09:03:34,283 - pyskl - INFO - +mean_acc 0.8997 +2023-12-25 09:03:34,284 - pyskl - INFO - Epoch(val) [143][533] top1_acc: 0.9271, top5_acc: 0.9961, mean_class_accuracy: 0.8997 +2023-12-25 09:04:32,995 - pyskl - INFO - Epoch [144][100/1281] lr: 1.312e-04, eta: 0:59:59, time: 0.587, data_time: 0.162, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8449, loss: 1.8449 +2023-12-25 09:05:15,780 - pyskl - INFO - Epoch [144][200/1281] lr: 1.282e-04, eta: 0:59:19, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 09:05:58,501 - pyskl - INFO - Epoch [144][300/1281] lr: 1.253e-04, eta: 0:58:38, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 09:06:41,318 - pyskl - INFO - Epoch [144][400/1281] lr: 1.224e-04, eta: 0:57:58, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 +2023-12-25 09:07:24,029 - pyskl - INFO - Epoch [144][500/1281] lr: 1.196e-04, eta: 0:57:17, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 09:08:06,702 - pyskl - INFO - Epoch [144][600/1281] lr: 1.168e-04, eta: 0:56:37, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 +2023-12-25 09:08:49,458 - pyskl - INFO - Epoch [144][700/1281] lr: 1.140e-04, eta: 0:55:56, time: 0.428, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 09:09:32,102 - pyskl - INFO - Epoch [144][800/1281] lr: 1.113e-04, eta: 0:55:16, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8472, loss: 1.8472 +2023-12-25 09:10:14,749 - pyskl - INFO - Epoch [144][900/1281] lr: 1.086e-04, eta: 0:54:35, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8449, loss: 1.8449 +2023-12-25 09:10:56,925 - pyskl - INFO - Epoch [144][1000/1281] lr: 1.059e-04, eta: 0:53:55, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 +2023-12-25 09:11:39,032 - pyskl - INFO - Epoch [144][1100/1281] lr: 1.033e-04, eta: 0:53:14, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 09:12:05,429 - pyskl - INFO - Epoch [144][1200/1281] lr: 1.007e-04, eta: 0:52:33, time: 0.264, data_time: 0.001, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 09:12:41,768 - pyskl - INFO - Saving checkpoint at 144 epochs +2023-12-25 09:13:43,518 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 09:13:43,574 - pyskl - INFO - +top1_acc 0.9274 +top5_acc 0.9966 +2023-12-25 09:13:43,574 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 09:13:43,581 - pyskl - INFO - +mean_acc 0.9001 +2023-12-25 09:13:43,583 - pyskl - INFO - Epoch(val) [144][533] top1_acc: 0.9274, top5_acc: 0.9966, mean_class_accuracy: 0.9001 +2023-12-25 09:14:42,618 - pyskl - INFO - Epoch [145][100/1281] lr: 9.605e-05, eta: 0:51:19, time: 0.590, data_time: 0.172, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 09:15:24,662 - pyskl - INFO - Epoch [145][200/1281] lr: 9.353e-05, eta: 0:50:38, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 09:16:06,578 - pyskl - INFO - Epoch [145][300/1281] lr: 9.106e-05, eta: 0:49:58, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 09:16:48,615 - pyskl - INFO - Epoch [145][400/1281] lr: 8.861e-05, eta: 0:49:17, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 09:17:30,621 - pyskl - INFO - Epoch [145][500/1281] lr: 8.620e-05, eta: 0:48:37, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 09:18:12,771 - pyskl - INFO - Epoch [145][600/1281] lr: 8.382e-05, eta: 0:47:56, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 09:18:55,381 - pyskl - INFO - Epoch [145][700/1281] lr: 8.147e-05, eta: 0:47:16, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 +2023-12-25 09:19:37,605 - pyskl - INFO - Epoch [145][800/1281] lr: 7.916e-05, eta: 0:46:35, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8448, loss: 1.8448 +2023-12-25 09:20:19,564 - pyskl - INFO - Epoch [145][900/1281] lr: 7.688e-05, eta: 0:45:55, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 09:21:01,524 - pyskl - INFO - Epoch [145][1000/1281] lr: 7.463e-05, eta: 0:45:14, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 09:21:43,384 - pyskl - INFO - Epoch [145][1100/1281] lr: 7.242e-05, eta: 0:44:34, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8452, loss: 1.8452 +2023-12-25 09:22:09,893 - pyskl - INFO - Epoch [145][1200/1281] lr: 7.024e-05, eta: 0:43:52, time: 0.265, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 09:22:46,139 - pyskl - INFO - Saving checkpoint at 145 epochs +2023-12-25 09:23:47,848 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 09:23:47,904 - pyskl - INFO - +top1_acc 0.9277 +top5_acc 0.9964 +2023-12-25 09:23:47,904 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 09:23:47,911 - pyskl - INFO - +mean_acc 0.8992 +2023-12-25 09:23:47,913 - pyskl - INFO - Epoch(val) [145][533] top1_acc: 0.9277, top5_acc: 0.9964, mean_class_accuracy: 0.8992 +2023-12-25 09:24:46,028 - pyskl - INFO - Epoch [146][100/1281] lr: 6.638e-05, eta: 0:42:38, time: 0.581, data_time: 0.161, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 09:25:27,938 - pyskl - INFO - Epoch [146][200/1281] lr: 6.429e-05, eta: 0:41:58, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 09:26:10,133 - pyskl - INFO - Epoch [146][300/1281] lr: 6.224e-05, eta: 0:41:17, time: 0.422, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 09:26:52,161 - pyskl - INFO - Epoch [146][400/1281] lr: 6.022e-05, eta: 0:40:37, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 09:27:34,253 - pyskl - INFO - Epoch [146][500/1281] lr: 5.823e-05, eta: 0:39:56, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8450, loss: 1.8450 +2023-12-25 09:28:16,181 - pyskl - INFO - Epoch [146][600/1281] lr: 5.628e-05, eta: 0:39:16, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 09:28:58,133 - pyskl - INFO - Epoch [146][700/1281] lr: 5.436e-05, eta: 0:38:35, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 09:29:40,056 - pyskl - INFO - Epoch [146][800/1281] lr: 5.247e-05, eta: 0:37:55, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8445, loss: 1.8445 +2023-12-25 09:30:22,009 - pyskl - INFO - Epoch [146][900/1281] lr: 5.061e-05, eta: 0:37:14, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 09:31:03,936 - pyskl - INFO - Epoch [146][1000/1281] lr: 4.879e-05, eta: 0:36:34, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 09:31:45,805 - pyskl - INFO - Epoch [146][1100/1281] lr: 4.701e-05, eta: 0:35:53, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8474, loss: 1.8474 +2023-12-25 09:32:11,572 - pyskl - INFO - Epoch [146][1200/1281] lr: 4.525e-05, eta: 0:35:12, time: 0.258, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 +2023-12-25 09:32:47,643 - pyskl - INFO - Saving checkpoint at 146 epochs +2023-12-25 09:33:47,878 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 09:33:47,933 - pyskl - INFO - +top1_acc 0.9288 +top5_acc 0.9964 +2023-12-25 09:33:47,933 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 09:33:47,940 - pyskl - INFO - +mean_acc 0.9026 +2023-12-25 09:33:47,942 - pyskl - INFO - Epoch(val) [146][533] top1_acc: 0.9288, top5_acc: 0.9964, mean_class_accuracy: 0.9026 +2023-12-25 09:34:46,423 - pyskl - INFO - Epoch [147][100/1281] lr: 4.216e-05, eta: 0:33:58, time: 0.585, data_time: 0.166, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 +2023-12-25 09:35:28,201 - pyskl - INFO - Epoch [147][200/1281] lr: 4.050e-05, eta: 0:33:18, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8445, loss: 1.8445 +2023-12-25 09:36:10,070 - pyskl - INFO - Epoch [147][300/1281] lr: 3.887e-05, eta: 0:32:37, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 09:36:51,979 - pyskl - INFO - Epoch [147][400/1281] lr: 3.728e-05, eta: 0:31:56, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8466, loss: 1.8466 +2023-12-25 09:37:33,866 - pyskl - INFO - Epoch [147][500/1281] lr: 3.572e-05, eta: 0:31:16, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 09:38:15,914 - pyskl - INFO - Epoch [147][600/1281] lr: 3.419e-05, eta: 0:30:35, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8460, loss: 1.8460 +2023-12-25 09:38:57,926 - pyskl - INFO - Epoch [147][700/1281] lr: 3.270e-05, eta: 0:29:55, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8459, loss: 1.8459 +2023-12-25 09:39:39,815 - pyskl - INFO - Epoch [147][800/1281] lr: 3.124e-05, eta: 0:29:14, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8462, loss: 1.8462 +2023-12-25 09:40:21,724 - pyskl - INFO - Epoch [147][900/1281] lr: 2.981e-05, eta: 0:28:34, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 +2023-12-25 09:41:03,765 - pyskl - INFO - Epoch [147][1000/1281] lr: 2.842e-05, eta: 0:27:53, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 09:41:45,633 - pyskl - INFO - Epoch [147][1100/1281] lr: 2.706e-05, eta: 0:27:13, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8479, loss: 1.8479 +2023-12-25 09:42:11,185 - pyskl - INFO - Epoch [147][1200/1281] lr: 2.573e-05, eta: 0:26:32, time: 0.256, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8453, loss: 1.8453 +2023-12-25 09:42:47,716 - pyskl - INFO - Saving checkpoint at 147 epochs +2023-12-25 09:43:47,592 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 09:43:47,660 - pyskl - INFO - +top1_acc 0.9288 +top5_acc 0.9964 +2023-12-25 09:43:47,660 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 09:43:47,668 - pyskl - INFO - +mean_acc 0.9023 +2023-12-25 09:43:47,671 - pyskl - INFO - Epoch(val) [147][533] top1_acc: 0.9288, top5_acc: 0.9964, mean_class_accuracy: 0.9023 +2023-12-25 09:44:47,002 - pyskl - INFO - Epoch [148][100/1281] lr: 2.341e-05, eta: 0:25:18, time: 0.593, data_time: 0.168, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 09:45:29,112 - pyskl - INFO - Epoch [148][200/1281] lr: 2.218e-05, eta: 0:24:37, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 +2023-12-25 09:46:10,976 - pyskl - INFO - Epoch [148][300/1281] lr: 2.098e-05, eta: 0:23:57, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8452, loss: 1.8452 +2023-12-25 09:46:52,913 - pyskl - INFO - Epoch [148][400/1281] lr: 1.981e-05, eta: 0:23:16, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 09:47:34,808 - pyskl - INFO - Epoch [148][500/1281] lr: 1.868e-05, eta: 0:22:36, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 +2023-12-25 09:48:16,733 - pyskl - INFO - Epoch [148][600/1281] lr: 1.758e-05, eta: 0:21:55, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 09:48:59,183 - pyskl - INFO - Epoch [148][700/1281] lr: 1.651e-05, eta: 0:21:15, time: 0.424, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8468, loss: 1.8468 +2023-12-25 09:49:41,804 - pyskl - INFO - Epoch [148][800/1281] lr: 1.548e-05, eta: 0:20:34, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 09:50:24,370 - pyskl - INFO - Epoch [148][900/1281] lr: 1.448e-05, eta: 0:19:54, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8450, loss: 1.8450 +2023-12-25 09:51:06,983 - pyskl - INFO - Epoch [148][1000/1281] lr: 1.351e-05, eta: 0:19:13, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8451, loss: 1.8451 +2023-12-25 09:51:49,577 - pyskl - INFO - Epoch [148][1100/1281] lr: 1.258e-05, eta: 0:18:33, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8464, loss: 1.8464 +2023-12-25 09:52:15,247 - pyskl - INFO - Epoch [148][1200/1281] lr: 1.168e-05, eta: 0:17:52, time: 0.257, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8452, loss: 1.8452 +2023-12-25 09:52:51,727 - pyskl - INFO - Saving checkpoint at 148 epochs +2023-12-25 09:53:52,356 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 09:53:52,423 - pyskl - INFO - +top1_acc 0.9292 +top5_acc 0.9966 +2023-12-25 09:53:52,423 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 09:53:52,430 - pyskl - INFO - +mean_acc 0.9039 +2023-12-25 09:53:52,432 - pyskl - INFO - Epoch(val) [148][533] top1_acc: 0.9292, top5_acc: 0.9966, mean_class_accuracy: 0.9039 +2023-12-25 09:54:50,213 - pyskl - INFO - Epoch [149][100/1281] lr: 1.013e-05, eta: 0:16:38, time: 0.578, data_time: 0.159, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 09:55:32,194 - pyskl - INFO - Epoch [149][200/1281] lr: 9.328e-06, eta: 0:15:58, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 09:56:14,266 - pyskl - INFO - Epoch [149][300/1281] lr: 8.555e-06, eta: 0:15:17, time: 0.421, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8457, loss: 1.8457 +2023-12-25 09:56:56,148 - pyskl - INFO - Epoch [149][400/1281] lr: 7.816e-06, eta: 0:14:37, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 +2023-12-25 09:57:37,965 - pyskl - INFO - Epoch [149][500/1281] lr: 7.110e-06, eta: 0:13:56, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8451, loss: 1.8451 +2023-12-25 09:58:19,775 - pyskl - INFO - Epoch [149][600/1281] lr: 6.437e-06, eta: 0:13:15, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 09:59:01,544 - pyskl - INFO - Epoch [149][700/1281] lr: 5.798e-06, eta: 0:12:35, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 +2023-12-25 09:59:43,502 - pyskl - INFO - Epoch [149][800/1281] lr: 5.192e-06, eta: 0:11:54, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 10:00:25,477 - pyskl - INFO - Epoch [149][900/1281] lr: 4.620e-06, eta: 0:11:14, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8470, loss: 1.8470 +2023-12-25 10:01:07,394 - pyskl - INFO - Epoch [149][1000/1281] lr: 4.081e-06, eta: 0:10:33, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 10:01:49,269 - pyskl - INFO - Epoch [149][1100/1281] lr: 3.576e-06, eta: 0:09:53, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 +2023-12-25 10:02:15,522 - pyskl - INFO - Epoch [149][1200/1281] lr: 3.104e-06, eta: 0:09:12, time: 0.263, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 10:02:51,739 - pyskl - INFO - Saving checkpoint at 149 epochs +2023-12-25 10:03:52,233 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 10:03:52,288 - pyskl - INFO - +top1_acc 0.9281 +top5_acc 0.9967 +2023-12-25 10:03:52,288 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 10:03:52,296 - pyskl - INFO - +mean_acc 0.8993 +2023-12-25 10:03:52,298 - pyskl - INFO - Epoch(val) [149][533] top1_acc: 0.9281, top5_acc: 0.9967, mean_class_accuracy: 0.8993 +2023-12-25 10:04:51,424 - pyskl - INFO - Epoch [150][100/1281] lr: 2.334e-06, eta: 0:07:58, time: 0.591, data_time: 0.165, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 10:05:34,098 - pyskl - INFO - Epoch [150][200/1281] lr: 1.956e-06, eta: 0:07:18, time: 0.427, data_time: 0.000, memory: 4130, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.8472, loss: 1.8472 +2023-12-25 10:06:16,743 - pyskl - INFO - Epoch [150][300/1281] lr: 1.611e-06, eta: 0:06:37, time: 0.426, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8456, loss: 1.8456 +2023-12-25 10:06:58,739 - pyskl - INFO - Epoch [150][400/1281] lr: 1.300e-06, eta: 0:05:57, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 10:07:40,573 - pyskl - INFO - Epoch [150][500/1281] lr: 1.022e-06, eta: 0:05:16, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8463, loss: 1.8463 +2023-12-25 10:08:22,388 - pyskl - INFO - Epoch [150][600/1281] lr: 7.771e-07, eta: 0:04:36, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8452, loss: 1.8452 +2023-12-25 10:09:04,290 - pyskl - INFO - Epoch [150][700/1281] lr: 5.659e-07, eta: 0:03:55, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8453, loss: 1.8453 +2023-12-25 10:09:46,244 - pyskl - INFO - Epoch [150][800/1281] lr: 3.881e-07, eta: 0:03:15, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8455, loss: 1.8455 +2023-12-25 10:10:28,173 - pyskl - INFO - Epoch [150][900/1281] lr: 2.438e-07, eta: 0:02:34, time: 0.419, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8469, loss: 1.8469 +2023-12-25 10:11:10,004 - pyskl - INFO - Epoch [150][1000/1281] lr: 1.329e-07, eta: 0:01:53, time: 0.418, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8458, loss: 1.8458 +2023-12-25 10:11:51,998 - pyskl - INFO - Epoch [150][1100/1281] lr: 5.534e-08, eta: 0:01:13, time: 0.420, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8454, loss: 1.8454 +2023-12-25 10:12:17,723 - pyskl - INFO - Epoch [150][1200/1281] lr: 1.123e-08, eta: 0:00:32, time: 0.257, data_time: 0.000, memory: 4130, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.8461, loss: 1.8461 +2023-12-25 10:12:54,309 - pyskl - INFO - Saving checkpoint at 150 epochs +2023-12-25 10:13:54,437 - pyskl - INFO - Evaluating top_k_accuracy ... +2023-12-25 10:13:54,493 - pyskl - INFO - +top1_acc 0.9285 +top5_acc 0.9965 +2023-12-25 10:13:54,493 - pyskl - INFO - Evaluating mean_class_accuracy ... +2023-12-25 10:13:54,500 - pyskl - INFO - +mean_acc 0.9008 +2023-12-25 10:13:54,502 - pyskl - INFO - Epoch(val) [150][533] top1_acc: 0.9285, top5_acc: 0.9965, mean_class_accuracy: 0.9008 +2023-12-25 10:13:58,974 - pyskl - INFO - 8521 videos remain after valid thresholding +2023-12-25 10:24:12,783 - pyskl - INFO - Testing results of the last checkpoint +2023-12-25 10:24:12,784 - pyskl - INFO - top1_acc: 0.9297 +2023-12-25 10:24:12,784 - pyskl - INFO - top5_acc: 0.9966 +2023-12-25 10:24:12,784 - pyskl - INFO - mean_class_accuracy: 0.9017 +2023-12-25 10:24:12,785 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/finegym/j_2/best_top1_acc_epoch_139.pth +2023-12-25 10:34:05,344 - pyskl - INFO - Testing results of the best checkpoint +2023-12-25 10:34:05,344 - pyskl - INFO - top1_acc: 0.9302 +2023-12-25 10:34:05,344 - pyskl - INFO - top5_acc: 0.9961 +2023-12-25 10:34:05,344 - pyskl - INFO - mean_class_accuracy: 0.9038