diff --git "a/ntu60_xsub/k_1/20250513_145433.log" "b/ntu60_xsub/k_1/20250513_145433.log" new file mode 100644--- /dev/null +++ "b/ntu60_xsub/k_1/20250513_145433.log" @@ -0,0 +1,4977 @@ +2025-05-13 14:54:33,425 - 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: NVIDIA GeForce RTX 3090 +CUDA_HOME: /usr/local +NVCC: Cuda compilation tools, release 11.5, V11.5.50 +GCC: gcc (GCC) 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: 4.10.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-05-13 14:54:34,302 - pyskl - INFO - Config: modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/ntu60_xsub/k' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module_LLM', + llm_model='gpt4o', + llm_modality='k', + num_classes=60, + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict( + type='SimpleHead', + joint_cfg='nturgb+d', + num_classes=60, + in_channels=384, + work_dir='./work_dirs/ntu60_xsub/k', + interval_epoch=10, + weight_1=0.2, + weight_2=0.2)) +dataset_type = 'PoseDataset' +ann_file = '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/nturgbd/ntu60_3danno.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Spatial_Flip', dataset='nturgb+d', p=0.5), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100, num_clips=10), + dict(type='FormatGCNInput'), + 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= + '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/nturgbd/ntu60_3danno.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Spatial_Flip', dataset='nturgb+d', p=0.5), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file= + '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/nturgbd/ntu60_3danno.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file= + '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/nturgbd/ntu60_3danno.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_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']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-05-13 14:54:34,302 - pyskl - INFO - Set random seed to 1052880961, deterministic: False +2025-05-13 14:54:45,446 - pyskl - INFO - 40091 videos remain after valid thresholding +2025-05-13 14:54:51,664 - pyskl - INFO - 16487 videos remain after valid thresholding +2025-05-13 14:54:51,690 - pyskl - INFO - Start running, host: hao.wang@gdp, work_dir: /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k +2025-05-13 14:54:51,690 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(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 ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(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 + -------------------- +2025-05-13 14:54:51,690 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-05-13 14:54:51,691 - pyskl - INFO - Checkpoints will be saved to /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k by HardDiskBackend. +2025-05-13 14:56:01,656 - pyskl - INFO - Epoch [1][100/2506] lr: 2.500e-02, eta: 3 days, 1:01:54, time: 0.700, data_time: 0.268, memory: 10835, top1_acc: 0.0281, top5_acc: 0.1469, loss_cls: 10.1295, loss: 10.1295 +2025-05-13 14:56:42,366 - pyskl - INFO - Epoch [1][200/2506] lr: 2.500e-02, eta: 2 days, 9:44:54, time: 0.407, data_time: 0.000, memory: 10835, top1_acc: 0.0381, top5_acc: 0.1900, loss_cls: 8.9067, loss: 8.9067 +2025-05-13 14:57:23,505 - pyskl - INFO - Epoch [1][300/2506] lr: 2.500e-02, eta: 2 days, 4:47:43, time: 0.411, data_time: 0.000, memory: 10835, top1_acc: 0.0550, top5_acc: 0.2531, loss_cls: 8.5959, loss: 8.5959 +2025-05-13 14:58:05,128 - pyskl - INFO - Epoch [1][400/2506] lr: 2.500e-02, eta: 2 days, 2:26:23, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.0694, top5_acc: 0.2800, loss_cls: 8.4466, loss: 8.4466 +2025-05-13 14:58:46,465 - pyskl - INFO - Epoch [1][500/2506] lr: 2.500e-02, eta: 2 days, 0:57:42, time: 0.413, data_time: 0.000, memory: 10835, top1_acc: 0.0744, top5_acc: 0.2800, loss_cls: 8.3180, loss: 8.3180 +2025-05-13 14:59:28,060 - pyskl - INFO - Epoch [1][600/2506] lr: 2.500e-02, eta: 2 days, 0:01:03, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.0781, top5_acc: 0.2963, loss_cls: 8.2784, loss: 8.2784 +2025-05-13 15:00:09,865 - pyskl - INFO - Epoch [1][700/2506] lr: 2.500e-02, eta: 1 day, 23:22:16, time: 0.418, data_time: 0.000, memory: 10835, top1_acc: 0.0981, top5_acc: 0.3550, loss_cls: 8.1493, loss: 8.1493 +2025-05-13 15:00:51,653 - pyskl - INFO - Epoch [1][800/2506] lr: 2.500e-02, eta: 1 day, 22:52:52, time: 0.418, data_time: 0.000, memory: 10835, top1_acc: 0.1206, top5_acc: 0.3837, loss_cls: 7.9867, loss: 7.9867 +2025-05-13 15:01:33,467 - pyskl - INFO - Epoch [1][900/2506] lr: 2.500e-02, eta: 1 day, 22:30:02, time: 0.418, data_time: 0.000, memory: 10835, top1_acc: 0.1450, top5_acc: 0.4531, loss_cls: 7.8041, loss: 7.8041 +2025-05-13 15:02:15,040 - pyskl - INFO - Epoch [1][1000/2506] lr: 2.500e-02, eta: 1 day, 22:10:07, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.1456, top5_acc: 0.4731, loss_cls: 7.7462, loss: 7.7462 +2025-05-13 15:02:56,450 - pyskl - INFO - Epoch [1][1100/2506] lr: 2.500e-02, eta: 1 day, 21:52:46, time: 0.414, data_time: 0.000, memory: 10835, top1_acc: 0.1631, top5_acc: 0.5219, loss_cls: 7.6152, loss: 7.6152 +2025-05-13 15:03:37,952 - pyskl - INFO - Epoch [1][1200/2506] lr: 2.500e-02, eta: 1 day, 21:38:40, time: 0.415, data_time: 0.000, memory: 10835, top1_acc: 0.1556, top5_acc: 0.5400, loss_cls: 7.4371, loss: 7.4371 +2025-05-13 15:04:19,869 - pyskl - INFO - Epoch [1][1300/2506] lr: 2.500e-02, eta: 1 day, 21:28:38, time: 0.419, data_time: 0.000, memory: 10835, top1_acc: 0.1613, top5_acc: 0.5413, loss_cls: 7.5219, loss: 7.5219 +2025-05-13 15:05:01,776 - pyskl - INFO - Epoch [1][1400/2506] lr: 2.500e-02, eta: 1 day, 21:19:53, time: 0.419, data_time: 0.000, memory: 10835, top1_acc: 0.1844, top5_acc: 0.5725, loss_cls: 7.4041, loss: 7.4041 +2025-05-13 15:05:43,680 - pyskl - INFO - Epoch [1][1500/2506] lr: 2.500e-02, eta: 1 day, 21:12:12, time: 0.419, data_time: 0.000, memory: 10835, top1_acc: 0.1706, top5_acc: 0.5663, loss_cls: 7.3591, loss: 7.3591 +2025-05-13 15:06:24,073 - pyskl - INFO - Epoch [1][1600/2506] lr: 2.500e-02, eta: 1 day, 20:59:30, time: 0.404, data_time: 0.000, memory: 10835, top1_acc: 0.1963, top5_acc: 0.6112, loss_cls: 7.1726, loss: 7.1726 +2025-05-13 15:07:04,043 - pyskl - INFO - Epoch [1][1700/2506] lr: 2.500e-02, eta: 1 day, 20:46:39, time: 0.400, data_time: 0.000, memory: 10835, top1_acc: 0.2106, top5_acc: 0.6262, loss_cls: 7.1312, loss: 7.1312 +2025-05-13 15:07:44,197 - pyskl - INFO - Epoch [1][1800/2506] lr: 2.500e-02, eta: 1 day, 20:35:48, time: 0.402, data_time: 0.000, memory: 10835, top1_acc: 0.2081, top5_acc: 0.5981, loss_cls: 7.2160, loss: 7.2160 +2025-05-13 15:08:25,580 - pyskl - INFO - Epoch [1][1900/2506] lr: 2.500e-02, eta: 1 day, 20:30:04, time: 0.414, data_time: 0.000, memory: 10835, top1_acc: 0.2200, top5_acc: 0.6375, loss_cls: 7.0219, loss: 7.0219 +2025-05-13 15:09:07,511 - pyskl - INFO - Epoch [1][2000/2506] lr: 2.500e-02, eta: 1 day, 20:26:31, time: 0.419, data_time: 0.000, memory: 10835, top1_acc: 0.2487, top5_acc: 0.6556, loss_cls: 6.9421, loss: 6.9421 +2025-05-13 15:09:49,436 - pyskl - INFO - Epoch [1][2100/2506] lr: 2.500e-02, eta: 1 day, 20:23:15, time: 0.419, data_time: 0.000, memory: 10835, top1_acc: 0.2556, top5_acc: 0.6625, loss_cls: 6.9282, loss: 6.9282 +2025-05-13 15:10:31,478 - pyskl - INFO - Epoch [1][2200/2506] lr: 2.500e-02, eta: 1 day, 20:20:32, time: 0.420, data_time: 0.000, memory: 10835, top1_acc: 0.2681, top5_acc: 0.6869, loss_cls: 6.8458, loss: 6.8458 +2025-05-13 15:11:13,110 - pyskl - INFO - Epoch [1][2300/2506] lr: 2.500e-02, eta: 1 day, 20:16:53, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.2844, top5_acc: 0.7250, loss_cls: 6.6889, loss: 6.6889 +2025-05-13 15:11:53,442 - pyskl - INFO - Epoch [1][2400/2506] lr: 2.500e-02, eta: 1 day, 20:10:06, time: 0.403, data_time: 0.000, memory: 10835, top1_acc: 0.2869, top5_acc: 0.7306, loss_cls: 6.6442, loss: 6.6442 +2025-05-13 15:12:33,521 - pyskl - INFO - Epoch [1][2500/2506] lr: 2.500e-02, eta: 1 day, 20:03:11, time: 0.401, data_time: 0.000, memory: 10835, top1_acc: 0.2769, top5_acc: 0.7238, loss_cls: 6.7319, loss: 6.7319 +2025-05-13 15:12:36,807 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-05-13 15:13:48,366 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 15:13:48,433 - pyskl - INFO - +top1_acc 0.3270 +top5_acc 0.7593 +2025-05-13 15:13:49,724 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-05-13 15:13:49,725 - pyskl - INFO - Best top1_acc is 0.3270 at 1 epoch. +2025-05-13 15:13:49,727 - pyskl - INFO - Epoch(val) [1][1031] top1_acc: 0.3270, top5_acc: 0.7593 +2025-05-13 15:14:56,667 - pyskl - INFO - Epoch [2][100/2506] lr: 2.500e-02, eta: 1 day, 20:54:45, time: 0.669, data_time: 0.261, memory: 10835, top1_acc: 0.3056, top5_acc: 0.7306, loss_cls: 6.5736, loss: 6.5736 +2025-05-13 15:15:37,005 - pyskl - INFO - Epoch [2][200/2506] lr: 2.500e-02, eta: 1 day, 20:47:11, time: 0.403, data_time: 0.000, memory: 10835, top1_acc: 0.3206, top5_acc: 0.7575, loss_cls: 6.5247, loss: 6.5247 +2025-05-13 15:16:17,654 - pyskl - INFO - Epoch [2][300/2506] lr: 2.500e-02, eta: 1 day, 20:40:49, time: 0.406, data_time: 0.000, memory: 10835, top1_acc: 0.3219, top5_acc: 0.7681, loss_cls: 6.3724, loss: 6.3724 +2025-05-13 15:16:59,533 - pyskl - INFO - Epoch [2][400/2506] lr: 2.500e-02, eta: 1 day, 20:37:27, time: 0.419, data_time: 0.000, memory: 10835, top1_acc: 0.3319, top5_acc: 0.7800, loss_cls: 6.3502, loss: 6.3502 +2025-05-13 15:17:40,649 - pyskl - INFO - Epoch [2][500/2506] lr: 2.500e-02, eta: 1 day, 20:32:42, time: 0.411, data_time: 0.000, memory: 10835, top1_acc: 0.3356, top5_acc: 0.7681, loss_cls: 6.4042, loss: 6.4042 +2025-05-13 15:18:21,898 - pyskl - INFO - Epoch [2][600/2506] lr: 2.500e-02, eta: 1 day, 20:28:28, time: 0.412, data_time: 0.000, memory: 10835, top1_acc: 0.3469, top5_acc: 0.7950, loss_cls: 6.2140, loss: 6.2140 +2025-05-13 15:19:03,255 - pyskl - INFO - Epoch [2][700/2506] lr: 2.500e-02, eta: 1 day, 20:24:40, time: 0.414, data_time: 0.000, memory: 10835, top1_acc: 0.3837, top5_acc: 0.8056, loss_cls: 6.1764, loss: 6.1764 +2025-05-13 15:19:44,892 - pyskl - INFO - Epoch [2][800/2506] lr: 2.500e-02, eta: 1 day, 20:21:34, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.3775, top5_acc: 0.8187, loss_cls: 6.1268, loss: 6.1268 +2025-05-13 15:20:27,765 - pyskl - INFO - Epoch [2][900/2506] lr: 2.499e-02, eta: 1 day, 20:20:53, time: 0.429, data_time: 0.001, memory: 10835, top1_acc: 0.3994, top5_acc: 0.8325, loss_cls: 6.0784, loss: 6.0784 +2025-05-13 15:21:08,972 - pyskl - INFO - Epoch [2][1000/2506] lr: 2.499e-02, eta: 1 day, 20:17:14, time: 0.412, data_time: 0.000, memory: 10835, top1_acc: 0.4031, top5_acc: 0.8494, loss_cls: 5.9731, loss: 5.9731 +2025-05-13 15:21:50,389 - pyskl - INFO - Epoch [2][1100/2506] lr: 2.499e-02, eta: 1 day, 20:14:07, time: 0.414, data_time: 0.000, memory: 10835, top1_acc: 0.4269, top5_acc: 0.8444, loss_cls: 5.8814, loss: 5.8814 +2025-05-13 15:22:32,211 - pyskl - INFO - Epoch [2][1200/2506] lr: 2.499e-02, eta: 1 day, 20:11:49, time: 0.418, data_time: 0.000, memory: 10835, top1_acc: 0.4325, top5_acc: 0.8500, loss_cls: 5.7611, loss: 5.7611 +2025-05-13 15:23:12,888 - pyskl - INFO - Epoch [2][1300/2506] lr: 2.499e-02, eta: 1 day, 20:07:43, time: 0.407, data_time: 0.000, memory: 10835, top1_acc: 0.4294, top5_acc: 0.8369, loss_cls: 5.7614, loss: 5.7614 +2025-05-13 15:23:53,649 - pyskl - INFO - Epoch [2][1400/2506] lr: 2.499e-02, eta: 1 day, 20:03:56, time: 0.408, data_time: 0.000, memory: 10835, top1_acc: 0.4719, top5_acc: 0.8644, loss_cls: 5.7307, loss: 5.7307 +2025-05-13 15:24:34,354 - pyskl - INFO - Epoch [2][1500/2506] lr: 2.499e-02, eta: 1 day, 20:00:14, time: 0.407, data_time: 0.000, memory: 10835, top1_acc: 0.4587, top5_acc: 0.8638, loss_cls: 5.6541, loss: 5.6541 +2025-05-13 15:25:15,885 - pyskl - INFO - Epoch [2][1600/2506] lr: 2.499e-02, eta: 1 day, 19:57:54, time: 0.415, data_time: 0.000, memory: 10835, top1_acc: 0.4694, top5_acc: 0.8619, loss_cls: 5.6123, loss: 5.6123 +2025-05-13 15:25:56,809 - pyskl - INFO - Epoch [2][1700/2506] lr: 2.499e-02, eta: 1 day, 19:54:46, time: 0.409, data_time: 0.000, memory: 10835, top1_acc: 0.4863, top5_acc: 0.8781, loss_cls: 5.4716, loss: 5.4716 +2025-05-13 15:26:38,544 - pyskl - INFO - Epoch [2][1800/2506] lr: 2.499e-02, eta: 1 day, 19:52:55, time: 0.417, data_time: 0.000, memory: 10835, top1_acc: 0.4913, top5_acc: 0.8644, loss_cls: 5.5310, loss: 5.5310 +2025-05-13 15:27:19,693 - pyskl - INFO - Epoch [2][1900/2506] lr: 2.499e-02, eta: 1 day, 19:50:17, time: 0.411, data_time: 0.000, memory: 10835, top1_acc: 0.4956, top5_acc: 0.8781, loss_cls: 5.5689, loss: 5.5689 +2025-05-13 15:28:00,353 - pyskl - INFO - Epoch [2][2000/2506] lr: 2.499e-02, eta: 1 day, 19:47:05, time: 0.407, data_time: 0.000, memory: 10835, top1_acc: 0.4831, top5_acc: 0.8712, loss_cls: 5.5228, loss: 5.5228 +2025-05-13 15:28:41,661 - pyskl - INFO - Epoch [2][2100/2506] lr: 2.499e-02, eta: 1 day, 19:44:51, time: 0.413, data_time: 0.000, memory: 10835, top1_acc: 0.5250, top5_acc: 0.8838, loss_cls: 5.3852, loss: 5.3852 +2025-05-13 15:29:23,332 - pyskl - INFO - Epoch [2][2200/2506] lr: 2.499e-02, eta: 1 day, 19:43:09, time: 0.417, data_time: 0.000, memory: 10835, top1_acc: 0.5344, top5_acc: 0.8931, loss_cls: 5.3203, loss: 5.3203 +2025-05-13 15:30:05,213 - pyskl - INFO - Epoch [2][2300/2506] lr: 2.499e-02, eta: 1 day, 19:41:47, time: 0.419, data_time: 0.000, memory: 10835, top1_acc: 0.5456, top5_acc: 0.8812, loss_cls: 5.3087, loss: 5.3087 +2025-05-13 15:30:47,260 - pyskl - INFO - Epoch [2][2400/2506] lr: 2.499e-02, eta: 1 day, 19:40:38, time: 0.420, data_time: 0.000, memory: 10835, top1_acc: 0.5281, top5_acc: 0.8788, loss_cls: 5.3168, loss: 5.3168 +2025-05-13 15:31:28,887 - pyskl - INFO - Epoch [2][2500/2506] lr: 2.499e-02, eta: 1 day, 19:39:00, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.5419, top5_acc: 0.8950, loss_cls: 5.1741, loss: 5.1741 +2025-05-13 15:31:32,255 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-05-13 15:32:44,617 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 15:32:44,689 - pyskl - INFO - +top1_acc 0.5064 +top5_acc 0.8784 +2025-05-13 15:32:44,759 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_1.pth was removed +2025-05-13 15:32:46,050 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-05-13 15:32:46,051 - pyskl - INFO - Best top1_acc is 0.5064 at 2 epoch. +2025-05-13 15:32:46,054 - pyskl - INFO - Epoch(val) [2][1031] top1_acc: 0.5064, top5_acc: 0.8784 +2025-05-13 15:33:53,808 - pyskl - INFO - Epoch [3][100/2506] lr: 2.499e-02, eta: 1 day, 20:05:52, time: 0.677, data_time: 0.266, memory: 10835, top1_acc: 0.5763, top5_acc: 0.8975, loss_cls: 5.1387, loss: 5.1387 +2025-05-13 15:34:35,084 - pyskl - INFO - Epoch [3][200/2506] lr: 2.499e-02, eta: 1 day, 20:03:19, time: 0.413, data_time: 0.000, memory: 10835, top1_acc: 0.5544, top5_acc: 0.8950, loss_cls: 5.1016, loss: 5.1016 +2025-05-13 15:35:15,224 - pyskl - INFO - Epoch [3][300/2506] lr: 2.499e-02, eta: 1 day, 19:59:32, time: 0.401, data_time: 0.000, memory: 10835, top1_acc: 0.5550, top5_acc: 0.9081, loss_cls: 5.1358, loss: 5.1358 +2025-05-13 15:35:54,977 - pyskl - INFO - Epoch [3][400/2506] lr: 2.499e-02, eta: 1 day, 19:55:25, time: 0.398, data_time: 0.000, memory: 10835, top1_acc: 0.5763, top5_acc: 0.9175, loss_cls: 5.0556, loss: 5.0556 +2025-05-13 15:36:34,970 - pyskl - INFO - Epoch [3][500/2506] lr: 2.499e-02, eta: 1 day, 19:51:42, time: 0.400, data_time: 0.000, memory: 10835, top1_acc: 0.5881, top5_acc: 0.8994, loss_cls: 5.1664, loss: 5.1664 +2025-05-13 15:37:16,337 - pyskl - INFO - Epoch [3][600/2506] lr: 2.499e-02, eta: 1 day, 19:49:36, time: 0.414, data_time: 0.000, memory: 10835, top1_acc: 0.5919, top5_acc: 0.9025, loss_cls: 4.9828, loss: 4.9828 +2025-05-13 15:37:57,904 - pyskl - INFO - Epoch [3][700/2506] lr: 2.499e-02, eta: 1 day, 19:47:45, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.5863, top5_acc: 0.9137, loss_cls: 4.9097, loss: 4.9097 +2025-05-13 15:38:39,505 - pyskl - INFO - Epoch [3][800/2506] lr: 2.499e-02, eta: 1 day, 19:46:00, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.5869, top5_acc: 0.9019, loss_cls: 4.9715, loss: 4.9715 +2025-05-13 15:39:20,266 - pyskl - INFO - Epoch [3][900/2506] lr: 2.498e-02, eta: 1 day, 19:43:24, time: 0.408, data_time: 0.000, memory: 10835, top1_acc: 0.5938, top5_acc: 0.9113, loss_cls: 4.9736, loss: 4.9736 +2025-05-13 15:40:01,658 - pyskl - INFO - Epoch [3][1000/2506] lr: 2.498e-02, eta: 1 day, 19:41:30, time: 0.414, data_time: 0.000, memory: 10835, top1_acc: 0.5994, top5_acc: 0.9106, loss_cls: 4.9207, loss: 4.9207 +2025-05-13 15:40:42,696 - pyskl - INFO - Epoch [3][1100/2506] lr: 2.498e-02, eta: 1 day, 19:39:18, time: 0.410, data_time: 0.000, memory: 10835, top1_acc: 0.6312, top5_acc: 0.9163, loss_cls: 4.7543, loss: 4.7543 +2025-05-13 15:41:22,850 - pyskl - INFO - Epoch [3][1200/2506] lr: 2.498e-02, eta: 1 day, 19:36:16, time: 0.402, data_time: 0.000, memory: 10835, top1_acc: 0.6188, top5_acc: 0.9137, loss_cls: 4.8161, loss: 4.8161 +2025-05-13 15:42:03,908 - pyskl - INFO - Epoch [3][1300/2506] lr: 2.498e-02, eta: 1 day, 19:34:11, time: 0.411, data_time: 0.000, memory: 10835, top1_acc: 0.6069, top5_acc: 0.9237, loss_cls: 4.7924, loss: 4.7924 +2025-05-13 15:42:44,360 - pyskl - INFO - Epoch [3][1400/2506] lr: 2.498e-02, eta: 1 day, 19:31:34, time: 0.405, data_time: 0.000, memory: 10835, top1_acc: 0.6119, top5_acc: 0.9113, loss_cls: 4.8012, loss: 4.8012 +2025-05-13 15:43:25,089 - pyskl - INFO - Epoch [3][1500/2506] lr: 2.498e-02, eta: 1 day, 19:29:16, time: 0.407, data_time: 0.000, memory: 10835, top1_acc: 0.6100, top5_acc: 0.9187, loss_cls: 4.6601, loss: 4.6601 +2025-05-13 15:44:06,465 - pyskl - INFO - Epoch [3][1600/2506] lr: 2.498e-02, eta: 1 day, 19:27:38, time: 0.414, data_time: 0.000, memory: 10835, top1_acc: 0.6531, top5_acc: 0.9263, loss_cls: 4.6107, loss: 4.6107 +2025-05-13 15:44:48,324 - pyskl - INFO - Epoch [3][1700/2506] lr: 2.498e-02, eta: 1 day, 19:26:27, time: 0.419, data_time: 0.000, memory: 10835, top1_acc: 0.6150, top5_acc: 0.9275, loss_cls: 4.6887, loss: 4.6887 +2025-05-13 15:45:29,924 - pyskl - INFO - Epoch [3][1800/2506] lr: 2.498e-02, eta: 1 day, 19:25:04, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.6369, top5_acc: 0.9237, loss_cls: 4.6124, loss: 4.6124 +2025-05-13 15:46:11,512 - pyskl - INFO - Epoch [3][1900/2506] lr: 2.498e-02, eta: 1 day, 19:23:41, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.6419, top5_acc: 0.9294, loss_cls: 4.5660, loss: 4.5660 +2025-05-13 15:46:52,604 - pyskl - INFO - Epoch [3][2000/2506] lr: 2.498e-02, eta: 1 day, 19:21:53, time: 0.411, data_time: 0.000, memory: 10835, top1_acc: 0.6744, top5_acc: 0.9225, loss_cls: 4.5587, loss: 4.5587 +2025-05-13 15:47:34,672 - pyskl - INFO - Epoch [3][2100/2506] lr: 2.498e-02, eta: 1 day, 19:20:57, time: 0.421, data_time: 0.000, memory: 10835, top1_acc: 0.6294, top5_acc: 0.9244, loss_cls: 4.7622, loss: 4.7622 +2025-05-13 15:48:16,427 - pyskl - INFO - Epoch [3][2200/2506] lr: 2.498e-02, eta: 1 day, 19:19:46, time: 0.418, data_time: 0.000, memory: 10835, top1_acc: 0.6425, top5_acc: 0.9256, loss_cls: 4.6398, loss: 4.6398 +2025-05-13 15:48:57,464 - pyskl - INFO - Epoch [3][2300/2506] lr: 2.498e-02, eta: 1 day, 19:18:00, time: 0.410, data_time: 0.000, memory: 10835, top1_acc: 0.6613, top5_acc: 0.9456, loss_cls: 4.4671, loss: 4.4671 +2025-05-13 15:49:39,404 - pyskl - INFO - Epoch [3][2400/2506] lr: 2.498e-02, eta: 1 day, 19:17:00, time: 0.419, data_time: 0.000, memory: 10835, top1_acc: 0.6431, top5_acc: 0.9306, loss_cls: 4.5615, loss: 4.5615 +2025-05-13 15:50:20,565 - pyskl - INFO - Epoch [3][2500/2506] lr: 2.498e-02, eta: 1 day, 19:15:22, time: 0.412, data_time: 0.000, memory: 10835, top1_acc: 0.6650, top5_acc: 0.9344, loss_cls: 4.4339, loss: 4.4339 +2025-05-13 15:50:23,667 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-05-13 15:51:35,067 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 15:51:35,164 - pyskl - INFO - +top1_acc 0.5448 +top5_acc 0.8738 +2025-05-13 15:51:35,270 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_2.pth was removed +2025-05-13 15:51:37,265 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-05-13 15:51:37,266 - pyskl - INFO - Best top1_acc is 0.5448 at 3 epoch. +2025-05-13 15:51:37,269 - pyskl - INFO - Epoch(val) [3][1031] top1_acc: 0.5448, top5_acc: 0.8738 +2025-05-13 15:52:46,967 - pyskl - INFO - Epoch [4][100/2506] lr: 2.497e-02, eta: 1 day, 19:34:41, time: 0.697, data_time: 0.274, memory: 10835, top1_acc: 0.6425, top5_acc: 0.9287, loss_cls: 4.5688, loss: 4.5688 +2025-05-13 15:53:28,826 - pyskl - INFO - Epoch [4][200/2506] lr: 2.497e-02, eta: 1 day, 19:33:23, time: 0.419, data_time: 0.000, memory: 10835, top1_acc: 0.6500, top5_acc: 0.9425, loss_cls: 4.5338, loss: 4.5338 +2025-05-13 15:54:09,360 - pyskl - INFO - Epoch [4][300/2506] lr: 2.497e-02, eta: 1 day, 19:31:03, time: 0.405, data_time: 0.000, memory: 10835, top1_acc: 0.6488, top5_acc: 0.9313, loss_cls: 4.5839, loss: 4.5839 +2025-05-13 15:54:50,180 - pyskl - INFO - Epoch [4][400/2506] lr: 2.497e-02, eta: 1 day, 19:29:00, time: 0.408, data_time: 0.000, memory: 10835, top1_acc: 0.6663, top5_acc: 0.9431, loss_cls: 4.4457, loss: 4.4457 +2025-05-13 15:55:31,651 - pyskl - INFO - Epoch [4][500/2506] lr: 2.497e-02, eta: 1 day, 19:27:28, time: 0.415, data_time: 0.000, memory: 10835, top1_acc: 0.6500, top5_acc: 0.9313, loss_cls: 4.5947, loss: 4.5947 +2025-05-13 15:56:13,203 - pyskl - INFO - Epoch [4][600/2506] lr: 2.497e-02, eta: 1 day, 19:26:02, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.6637, top5_acc: 0.9344, loss_cls: 4.3727, loss: 4.3727 +2025-05-13 15:56:54,107 - pyskl - INFO - Epoch [4][700/2506] lr: 2.497e-02, eta: 1 day, 19:24:07, time: 0.409, data_time: 0.000, memory: 10835, top1_acc: 0.6556, top5_acc: 0.9406, loss_cls: 4.4726, loss: 4.4726 +2025-05-13 15:57:34,647 - pyskl - INFO - Epoch [4][800/2506] lr: 2.497e-02, eta: 1 day, 19:21:58, time: 0.405, data_time: 0.000, memory: 10835, top1_acc: 0.6613, top5_acc: 0.9431, loss_cls: 4.4199, loss: 4.4199 +2025-05-13 15:58:15,490 - pyskl - INFO - Epoch [4][900/2506] lr: 2.497e-02, eta: 1 day, 19:20:04, time: 0.408, data_time: 0.000, memory: 10835, top1_acc: 0.6594, top5_acc: 0.9325, loss_cls: 4.3758, loss: 4.3758 +2025-05-13 15:58:56,664 - pyskl - INFO - Epoch [4][1000/2506] lr: 2.497e-02, eta: 1 day, 19:18:27, time: 0.412, data_time: 0.000, memory: 10835, top1_acc: 0.6825, top5_acc: 0.9369, loss_cls: 4.3739, loss: 4.3739 +2025-05-13 15:59:36,772 - pyskl - INFO - Epoch [4][1100/2506] lr: 2.497e-02, eta: 1 day, 19:16:05, time: 0.401, data_time: 0.000, memory: 10835, top1_acc: 0.6731, top5_acc: 0.9325, loss_cls: 4.4604, loss: 4.4604 +2025-05-13 16:00:17,398 - pyskl - INFO - Epoch [4][1200/2506] lr: 2.497e-02, eta: 1 day, 19:14:07, time: 0.406, data_time: 0.000, memory: 10835, top1_acc: 0.7006, top5_acc: 0.9444, loss_cls: 4.3580, loss: 4.3580 +2025-05-13 16:00:58,136 - pyskl - INFO - Epoch [4][1300/2506] lr: 2.497e-02, eta: 1 day, 19:12:16, time: 0.407, data_time: 0.000, memory: 10835, top1_acc: 0.7044, top5_acc: 0.9406, loss_cls: 4.3192, loss: 4.3192 +2025-05-13 16:01:38,120 - pyskl - INFO - Epoch [4][1400/2506] lr: 2.497e-02, eta: 1 day, 19:09:56, time: 0.400, data_time: 0.000, memory: 10835, top1_acc: 0.6687, top5_acc: 0.9381, loss_cls: 4.3427, loss: 4.3427 +2025-05-13 16:02:20,025 - pyskl - INFO - Epoch [4][1500/2506] lr: 2.496e-02, eta: 1 day, 19:08:55, time: 0.419, data_time: 0.000, memory: 10835, top1_acc: 0.6613, top5_acc: 0.9263, loss_cls: 4.3832, loss: 4.3832 +2025-05-13 16:03:01,694 - pyskl - INFO - Epoch [4][1600/2506] lr: 2.496e-02, eta: 1 day, 19:07:46, time: 0.417, data_time: 0.000, memory: 10835, top1_acc: 0.6737, top5_acc: 0.9425, loss_cls: 4.3222, loss: 4.3222 +2025-05-13 16:03:42,296 - pyskl - INFO - Epoch [4][1700/2506] lr: 2.496e-02, eta: 1 day, 19:05:55, time: 0.406, data_time: 0.000, memory: 10835, top1_acc: 0.7044, top5_acc: 0.9463, loss_cls: 4.2658, loss: 4.2658 +2025-05-13 16:04:23,633 - pyskl - INFO - Epoch [4][1800/2506] lr: 2.496e-02, eta: 1 day, 19:04:34, time: 0.413, data_time: 0.000, memory: 10835, top1_acc: 0.7044, top5_acc: 0.9387, loss_cls: 4.2475, loss: 4.2475 +2025-05-13 16:05:05,441 - pyskl - INFO - Epoch [4][1900/2506] lr: 2.496e-02, eta: 1 day, 19:03:32, time: 0.418, data_time: 0.000, memory: 10835, top1_acc: 0.7013, top5_acc: 0.9487, loss_cls: 4.1695, loss: 4.1695 +2025-05-13 16:05:47,077 - pyskl - INFO - Epoch [4][2000/2506] lr: 2.496e-02, eta: 1 day, 19:02:25, time: 0.416, data_time: 0.000, memory: 10835, top1_acc: 0.6900, top5_acc: 0.9463, loss_cls: 4.1742, loss: 4.1742 +2025-05-13 16:06:28,296 - pyskl - INFO - Epoch [4][2100/2506] lr: 2.496e-02, eta: 1 day, 19:01:02, time: 0.412, data_time: 0.000, memory: 10835, top1_acc: 0.6956, top5_acc: 0.9425, loss_cls: 4.2445, loss: 4.2445 +2025-05-13 16:07:09,595 - pyskl - INFO - Epoch [4][2200/2506] lr: 2.496e-02, eta: 1 day, 18:59:42, time: 0.413, data_time: 0.000, memory: 10835, top1_acc: 0.6937, top5_acc: 0.9394, loss_cls: 4.2425, loss: 4.2425 +2025-05-13 16:07:50,301 - pyskl - INFO - Epoch [4][2300/2506] lr: 2.496e-02, eta: 1 day, 18:58:02, time: 0.407, data_time: 0.000, memory: 10835, top1_acc: 0.7044, top5_acc: 0.9481, loss_cls: 4.0782, loss: 4.0782 +2025-05-13 16:08:32,030 - pyskl - INFO - Epoch [4][2400/2506] lr: 2.496e-02, eta: 1 day, 18:57:00, time: 0.417, data_time: 0.000, memory: 10835, top1_acc: 0.6856, top5_acc: 0.9419, loss_cls: 4.2716, loss: 4.2716 +2025-05-13 16:09:14,072 - pyskl - INFO - Epoch [4][2500/2506] lr: 2.496e-02, eta: 1 day, 18:56:10, time: 0.420, data_time: 0.000, memory: 10835, top1_acc: 0.7000, top5_acc: 0.9444, loss_cls: 4.2080, loss: 4.2080 +2025-05-13 16:09:17,212 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-05-13 16:10:30,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 16:10:30,143 - pyskl - INFO - +top1_acc 0.6996 +top5_acc 0.9396 +2025-05-13 16:10:30,229 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_3.pth was removed +2025-05-13 16:10:31,915 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-05-13 16:10:31,915 - pyskl - INFO - Best top1_acc is 0.6996 at 4 epoch. +2025-05-13 16:10:31,918 - pyskl - INFO - Epoch(val) [4][1031] top1_acc: 0.6996, top5_acc: 0.9396 +2025-05-13 16:11:41,137 - pyskl - INFO - Epoch [5][100/2506] lr: 2.496e-02, eta: 1 day, 19:10:08, time: 0.692, data_time: 0.273, memory: 10837, top1_acc: 0.6994, top5_acc: 0.9544, loss_cls: 4.1535, loss: 4.1535 +2025-05-13 16:12:22,167 - pyskl - INFO - Epoch [5][200/2506] lr: 2.495e-02, eta: 1 day, 19:08:34, time: 0.410, data_time: 0.000, memory: 10837, top1_acc: 0.7050, top5_acc: 0.9463, loss_cls: 4.1747, loss: 4.1747 +2025-05-13 16:13:03,436 - pyskl - INFO - Epoch [5][300/2506] lr: 2.495e-02, eta: 1 day, 19:07:08, time: 0.413, data_time: 0.000, memory: 10837, top1_acc: 0.7113, top5_acc: 0.9437, loss_cls: 4.1581, loss: 4.1581 +2025-05-13 16:13:45,075 - pyskl - INFO - Epoch [5][400/2506] lr: 2.495e-02, eta: 1 day, 19:05:57, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.7256, top5_acc: 0.9469, loss_cls: 4.1973, loss: 4.1973 +2025-05-13 16:14:26,589 - pyskl - INFO - Epoch [5][500/2506] lr: 2.495e-02, eta: 1 day, 19:04:42, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.7013, top5_acc: 0.9425, loss_cls: 4.2394, loss: 4.2394 +2025-05-13 16:15:08,077 - pyskl - INFO - Epoch [5][600/2506] lr: 2.495e-02, eta: 1 day, 19:03:27, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.7119, top5_acc: 0.9450, loss_cls: 3.9822, loss: 3.9822 +2025-05-13 16:15:49,166 - pyskl - INFO - Epoch [5][700/2506] lr: 2.495e-02, eta: 1 day, 19:01:58, time: 0.411, data_time: 0.000, memory: 10837, top1_acc: 0.7156, top5_acc: 0.9463, loss_cls: 4.0784, loss: 4.0784 +2025-05-13 16:16:31,036 - pyskl - INFO - Epoch [5][800/2506] lr: 2.495e-02, eta: 1 day, 19:00:57, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7087, top5_acc: 0.9506, loss_cls: 4.0022, loss: 4.0022 +2025-05-13 16:17:11,173 - pyskl - INFO - Epoch [5][900/2506] lr: 2.495e-02, eta: 1 day, 18:58:59, time: 0.401, data_time: 0.000, memory: 10837, top1_acc: 0.7188, top5_acc: 0.9556, loss_cls: 3.9608, loss: 3.9608 +2025-05-13 16:17:52,093 - pyskl - INFO - Epoch [5][1000/2506] lr: 2.495e-02, eta: 1 day, 18:57:27, time: 0.409, data_time: 0.000, memory: 10837, top1_acc: 0.7000, top5_acc: 0.9487, loss_cls: 4.0834, loss: 4.0834 +2025-05-13 16:18:32,995 - pyskl - INFO - Epoch [5][1100/2506] lr: 2.495e-02, eta: 1 day, 18:55:56, time: 0.409, data_time: 0.000, memory: 10837, top1_acc: 0.7144, top5_acc: 0.9531, loss_cls: 4.0083, loss: 4.0083 +2025-05-13 16:19:12,881 - pyskl - INFO - Epoch [5][1200/2506] lr: 2.495e-02, eta: 1 day, 18:53:53, time: 0.399, data_time: 0.000, memory: 10837, top1_acc: 0.7150, top5_acc: 0.9475, loss_cls: 4.1431, loss: 4.1431 +2025-05-13 16:19:53,218 - pyskl - INFO - Epoch [5][1300/2506] lr: 2.494e-02, eta: 1 day, 18:52:06, time: 0.403, data_time: 0.000, memory: 10837, top1_acc: 0.7262, top5_acc: 0.9469, loss_cls: 4.0758, loss: 4.0758 +2025-05-13 16:20:35,216 - pyskl - INFO - Epoch [5][1400/2506] lr: 2.494e-02, eta: 1 day, 18:51:13, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.6969, top5_acc: 0.9463, loss_cls: 4.1448, loss: 4.1448 +2025-05-13 16:21:15,541 - pyskl - INFO - Epoch [5][1500/2506] lr: 2.494e-02, eta: 1 day, 18:49:27, time: 0.403, data_time: 0.000, memory: 10837, top1_acc: 0.7525, top5_acc: 0.9581, loss_cls: 3.9852, loss: 3.9852 +2025-05-13 16:21:56,365 - pyskl - INFO - Epoch [5][1600/2506] lr: 2.494e-02, eta: 1 day, 18:47:59, time: 0.408, data_time: 0.000, memory: 10837, top1_acc: 0.7169, top5_acc: 0.9550, loss_cls: 4.0268, loss: 4.0268 +2025-05-13 16:22:39,481 - pyskl - INFO - Epoch [5][1700/2506] lr: 2.494e-02, eta: 1 day, 18:47:42, time: 0.431, data_time: 0.000, memory: 10837, top1_acc: 0.7306, top5_acc: 0.9456, loss_cls: 4.0375, loss: 4.0375 +2025-05-13 16:23:21,248 - pyskl - INFO - Epoch [5][1800/2506] lr: 2.494e-02, eta: 1 day, 18:46:43, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7169, top5_acc: 0.9556, loss_cls: 4.1110, loss: 4.1110 +2025-05-13 16:24:02,829 - pyskl - INFO - Epoch [5][1900/2506] lr: 2.494e-02, eta: 1 day, 18:45:38, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.7181, top5_acc: 0.9631, loss_cls: 4.1039, loss: 4.1039 +2025-05-13 16:24:44,307 - pyskl - INFO - Epoch [5][2000/2506] lr: 2.494e-02, eta: 1 day, 18:44:31, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.7481, top5_acc: 0.9537, loss_cls: 4.0391, loss: 4.0391 +2025-05-13 16:25:27,234 - pyskl - INFO - Epoch [5][2100/2506] lr: 2.494e-02, eta: 1 day, 18:44:08, time: 0.429, data_time: 0.000, memory: 10837, top1_acc: 0.7075, top5_acc: 0.9406, loss_cls: 4.1324, loss: 4.1324 +2025-05-13 16:26:07,741 - pyskl - INFO - Epoch [5][2200/2506] lr: 2.493e-02, eta: 1 day, 18:42:33, time: 0.405, data_time: 0.000, memory: 10837, top1_acc: 0.7256, top5_acc: 0.9544, loss_cls: 4.0416, loss: 4.0416 +2025-05-13 16:26:50,079 - pyskl - INFO - Epoch [5][2300/2506] lr: 2.493e-02, eta: 1 day, 18:41:52, time: 0.423, data_time: 0.000, memory: 10837, top1_acc: 0.7356, top5_acc: 0.9550, loss_cls: 3.9598, loss: 3.9598 +2025-05-13 16:27:30,495 - pyskl - INFO - Epoch [5][2400/2506] lr: 2.493e-02, eta: 1 day, 18:40:16, time: 0.404, data_time: 0.000, memory: 10837, top1_acc: 0.7538, top5_acc: 0.9600, loss_cls: 3.8024, loss: 3.8024 +2025-05-13 16:28:10,580 - pyskl - INFO - Epoch [5][2500/2506] lr: 2.493e-02, eta: 1 day, 18:38:30, time: 0.401, data_time: 0.000, memory: 10837, top1_acc: 0.7069, top5_acc: 0.9406, loss_cls: 4.1331, loss: 4.1331 +2025-05-13 16:28:13,617 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-05-13 16:29:26,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 16:29:26,810 - pyskl - INFO - +top1_acc 0.7477 +top5_acc 0.9549 +2025-05-13 16:29:26,885 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_4.pth was removed +2025-05-13 16:29:28,228 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-05-13 16:29:28,228 - pyskl - INFO - Best top1_acc is 0.7477 at 5 epoch. +2025-05-13 16:29:28,231 - pyskl - INFO - Epoch(val) [5][1031] top1_acc: 0.7477, top5_acc: 0.9549 +2025-05-13 16:30:38,090 - pyskl - INFO - Epoch [6][100/2506] lr: 2.493e-02, eta: 1 day, 18:49:46, time: 0.699, data_time: 0.273, memory: 10837, top1_acc: 0.7531, top5_acc: 0.9613, loss_cls: 3.8520, loss: 3.8520 +2025-05-13 16:31:20,896 - pyskl - INFO - Epoch [6][200/2506] lr: 2.493e-02, eta: 1 day, 18:49:14, time: 0.428, data_time: 0.000, memory: 10837, top1_acc: 0.7494, top5_acc: 0.9531, loss_cls: 3.9181, loss: 3.9181 +2025-05-13 16:32:03,284 - pyskl - INFO - Epoch [6][300/2506] lr: 2.493e-02, eta: 1 day, 18:48:30, time: 0.424, data_time: 0.000, memory: 10837, top1_acc: 0.7406, top5_acc: 0.9575, loss_cls: 3.9415, loss: 3.9415 +2025-05-13 16:32:45,599 - pyskl - INFO - Epoch [6][400/2506] lr: 2.493e-02, eta: 1 day, 18:47:44, time: 0.423, data_time: 0.000, memory: 10837, top1_acc: 0.7294, top5_acc: 0.9506, loss_cls: 3.9801, loss: 3.9801 +2025-05-13 16:33:27,015 - pyskl - INFO - Epoch [6][500/2506] lr: 2.493e-02, eta: 1 day, 18:46:33, time: 0.414, data_time: 0.000, memory: 10837, top1_acc: 0.7181, top5_acc: 0.9625, loss_cls: 3.8744, loss: 3.8744 +2025-05-13 16:34:08,428 - pyskl - INFO - Epoch [6][600/2506] lr: 2.492e-02, eta: 1 day, 18:45:22, time: 0.414, data_time: 0.000, memory: 10837, top1_acc: 0.7331, top5_acc: 0.9587, loss_cls: 3.8489, loss: 3.8489 +2025-05-13 16:34:50,302 - pyskl - INFO - Epoch [6][700/2506] lr: 2.492e-02, eta: 1 day, 18:44:24, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7350, top5_acc: 0.9587, loss_cls: 3.9340, loss: 3.9340 +2025-05-13 16:35:31,744 - pyskl - INFO - Epoch [6][800/2506] lr: 2.492e-02, eta: 1 day, 18:43:15, time: 0.414, data_time: 0.000, memory: 10837, top1_acc: 0.7400, top5_acc: 0.9563, loss_cls: 3.8389, loss: 3.8389 +2025-05-13 16:36:13,753 - pyskl - INFO - Epoch [6][900/2506] lr: 2.492e-02, eta: 1 day, 18:42:22, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7594, top5_acc: 0.9556, loss_cls: 3.9249, loss: 3.9249 +2025-05-13 16:36:54,551 - pyskl - INFO - Epoch [6][1000/2506] lr: 2.492e-02, eta: 1 day, 18:40:56, time: 0.408, data_time: 0.000, memory: 10837, top1_acc: 0.7319, top5_acc: 0.9519, loss_cls: 4.0062, loss: 4.0062 +2025-05-13 16:37:35,604 - pyskl - INFO - Epoch [6][1100/2506] lr: 2.492e-02, eta: 1 day, 18:39:38, time: 0.411, data_time: 0.000, memory: 10837, top1_acc: 0.7444, top5_acc: 0.9550, loss_cls: 3.8044, loss: 3.8044 +2025-05-13 16:38:17,421 - pyskl - INFO - Epoch [6][1200/2506] lr: 2.492e-02, eta: 1 day, 18:38:40, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7519, top5_acc: 0.9587, loss_cls: 3.8401, loss: 3.8401 +2025-05-13 16:38:58,320 - pyskl - INFO - Epoch [6][1300/2506] lr: 2.492e-02, eta: 1 day, 18:37:19, time: 0.409, data_time: 0.000, memory: 10837, top1_acc: 0.7225, top5_acc: 0.9506, loss_cls: 4.0074, loss: 4.0074 +2025-05-13 16:39:39,361 - pyskl - INFO - Epoch [6][1400/2506] lr: 2.492e-02, eta: 1 day, 18:36:01, time: 0.410, data_time: 0.000, memory: 10837, top1_acc: 0.7481, top5_acc: 0.9606, loss_cls: 3.8639, loss: 3.8639 +2025-05-13 16:40:21,113 - pyskl - INFO - Epoch [6][1500/2506] lr: 2.491e-02, eta: 1 day, 18:35:03, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7319, top5_acc: 0.9575, loss_cls: 3.9759, loss: 3.9759 +2025-05-13 16:41:02,626 - pyskl - INFO - Epoch [6][1600/2506] lr: 2.491e-02, eta: 1 day, 18:33:59, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.7519, top5_acc: 0.9587, loss_cls: 3.9063, loss: 3.9063 +2025-05-13 16:41:43,660 - pyskl - INFO - Epoch [6][1700/2506] lr: 2.491e-02, eta: 1 day, 18:32:43, time: 0.410, data_time: 0.000, memory: 10837, top1_acc: 0.7356, top5_acc: 0.9563, loss_cls: 3.8764, loss: 3.8764 +2025-05-13 16:42:25,845 - pyskl - INFO - Epoch [6][1800/2506] lr: 2.491e-02, eta: 1 day, 18:31:56, time: 0.422, data_time: 0.000, memory: 10837, top1_acc: 0.7238, top5_acc: 0.9513, loss_cls: 3.9924, loss: 3.9924 +2025-05-13 16:43:07,916 - pyskl - INFO - Epoch [6][1900/2506] lr: 2.491e-02, eta: 1 day, 18:31:07, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.7250, top5_acc: 0.9531, loss_cls: 3.9778, loss: 3.9778 +2025-05-13 16:43:49,888 - pyskl - INFO - Epoch [6][2000/2506] lr: 2.491e-02, eta: 1 day, 18:30:15, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7550, top5_acc: 0.9569, loss_cls: 3.7859, loss: 3.7859 +2025-05-13 16:44:32,001 - pyskl - INFO - Epoch [6][2100/2506] lr: 2.491e-02, eta: 1 day, 18:29:27, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.7394, top5_acc: 0.9563, loss_cls: 3.8764, loss: 3.8764 +2025-05-13 16:45:12,753 - pyskl - INFO - Epoch [6][2200/2506] lr: 2.491e-02, eta: 1 day, 18:28:06, time: 0.408, data_time: 0.000, memory: 10837, top1_acc: 0.7344, top5_acc: 0.9606, loss_cls: 3.8989, loss: 3.8989 +2025-05-13 16:45:54,092 - pyskl - INFO - Epoch [6][2300/2506] lr: 2.490e-02, eta: 1 day, 18:27:00, time: 0.413, data_time: 0.000, memory: 10837, top1_acc: 0.7306, top5_acc: 0.9594, loss_cls: 3.9083, loss: 3.9083 +2025-05-13 16:46:35,820 - pyskl - INFO - Epoch [6][2400/2506] lr: 2.490e-02, eta: 1 day, 18:26:03, time: 0.417, data_time: 0.000, memory: 10837, top1_acc: 0.7425, top5_acc: 0.9569, loss_cls: 3.8191, loss: 3.8191 +2025-05-13 16:47:17,005 - pyskl - INFO - Epoch [6][2500/2506] lr: 2.490e-02, eta: 1 day, 18:24:53, time: 0.412, data_time: 0.000, memory: 10837, top1_acc: 0.7206, top5_acc: 0.9525, loss_cls: 3.9872, loss: 3.9872 +2025-05-13 16:47:19,971 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-05-13 16:48:32,358 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 16:48:32,426 - pyskl - INFO - +top1_acc 0.7335 +top5_acc 0.9500 +2025-05-13 16:48:32,429 - pyskl - INFO - Epoch(val) [6][1031] top1_acc: 0.7335, top5_acc: 0.9500 +2025-05-13 16:49:44,107 - pyskl - INFO - Epoch [7][100/2506] lr: 2.490e-02, eta: 1 day, 18:34:48, time: 0.717, data_time: 0.298, memory: 10837, top1_acc: 0.7650, top5_acc: 0.9669, loss_cls: 3.6336, loss: 3.6336 +2025-05-13 16:50:25,457 - pyskl - INFO - Epoch [7][200/2506] lr: 2.490e-02, eta: 1 day, 18:33:38, time: 0.413, data_time: 0.000, memory: 10837, top1_acc: 0.7394, top5_acc: 0.9563, loss_cls: 3.9153, loss: 3.9153 +2025-05-13 16:51:06,257 - pyskl - INFO - Epoch [7][300/2506] lr: 2.490e-02, eta: 1 day, 18:32:16, time: 0.408, data_time: 0.000, memory: 10837, top1_acc: 0.7394, top5_acc: 0.9613, loss_cls: 3.8560, loss: 3.8560 +2025-05-13 16:51:47,950 - pyskl - INFO - Epoch [7][400/2506] lr: 2.490e-02, eta: 1 day, 18:31:15, time: 0.417, data_time: 0.000, memory: 10837, top1_acc: 0.7669, top5_acc: 0.9606, loss_cls: 3.7317, loss: 3.7317 +2025-05-13 16:52:29,782 - pyskl - INFO - Epoch [7][500/2506] lr: 2.489e-02, eta: 1 day, 18:30:18, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7519, top5_acc: 0.9506, loss_cls: 3.8290, loss: 3.8290 +2025-05-13 16:53:11,817 - pyskl - INFO - Epoch [7][600/2506] lr: 2.489e-02, eta: 1 day, 18:29:26, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7481, top5_acc: 0.9513, loss_cls: 3.8675, loss: 3.8675 +2025-05-13 16:53:53,292 - pyskl - INFO - Epoch [7][700/2506] lr: 2.489e-02, eta: 1 day, 18:28:21, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.7562, top5_acc: 0.9606, loss_cls: 3.7612, loss: 3.7612 +2025-05-13 16:54:33,717 - pyskl - INFO - Epoch [7][800/2506] lr: 2.489e-02, eta: 1 day, 18:26:52, time: 0.404, data_time: 0.000, memory: 10837, top1_acc: 0.7494, top5_acc: 0.9531, loss_cls: 3.8091, loss: 3.8091 +2025-05-13 16:55:14,926 - pyskl - INFO - Epoch [7][900/2506] lr: 2.489e-02, eta: 1 day, 18:25:42, time: 0.412, data_time: 0.000, memory: 10837, top1_acc: 0.7431, top5_acc: 0.9500, loss_cls: 3.8783, loss: 3.8783 +2025-05-13 16:55:56,214 - pyskl - INFO - Epoch [7][1000/2506] lr: 2.489e-02, eta: 1 day, 18:24:34, time: 0.413, data_time: 0.000, memory: 10837, top1_acc: 0.7588, top5_acc: 0.9637, loss_cls: 3.7558, loss: 3.7558 +2025-05-13 16:56:37,341 - pyskl - INFO - Epoch [7][1100/2506] lr: 2.489e-02, eta: 1 day, 18:23:22, time: 0.411, data_time: 0.000, memory: 10837, top1_acc: 0.7581, top5_acc: 0.9581, loss_cls: 3.7557, loss: 3.7557 +2025-05-13 16:57:18,498 - pyskl - INFO - Epoch [7][1200/2506] lr: 2.489e-02, eta: 1 day, 18:22:12, time: 0.412, data_time: 0.000, memory: 10837, top1_acc: 0.7494, top5_acc: 0.9600, loss_cls: 3.8370, loss: 3.8370 +2025-05-13 16:58:00,119 - pyskl - INFO - Epoch [7][1300/2506] lr: 2.488e-02, eta: 1 day, 18:21:12, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.7475, top5_acc: 0.9675, loss_cls: 3.7790, loss: 3.7790 +2025-05-13 16:58:42,116 - pyskl - INFO - Epoch [7][1400/2506] lr: 2.488e-02, eta: 1 day, 18:20:21, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7594, top5_acc: 0.9600, loss_cls: 3.8330, loss: 3.8330 +2025-05-13 16:59:24,038 - pyskl - INFO - Epoch [7][1500/2506] lr: 2.488e-02, eta: 1 day, 18:19:28, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7669, top5_acc: 0.9631, loss_cls: 3.7599, loss: 3.7599 +2025-05-13 17:00:05,824 - pyskl - INFO - Epoch [7][1600/2506] lr: 2.488e-02, eta: 1 day, 18:18:32, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7481, top5_acc: 0.9481, loss_cls: 3.7692, loss: 3.7692 +2025-05-13 17:00:47,686 - pyskl - INFO - Epoch [7][1700/2506] lr: 2.488e-02, eta: 1 day, 18:17:39, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7631, top5_acc: 0.9550, loss_cls: 3.7535, loss: 3.7535 +2025-05-13 17:01:29,670 - pyskl - INFO - Epoch [7][1800/2506] lr: 2.488e-02, eta: 1 day, 18:16:47, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7675, top5_acc: 0.9675, loss_cls: 3.6428, loss: 3.6428 +2025-05-13 17:02:11,992 - pyskl - INFO - Epoch [7][1900/2506] lr: 2.488e-02, eta: 1 day, 18:16:04, time: 0.423, data_time: 0.000, memory: 10837, top1_acc: 0.7512, top5_acc: 0.9544, loss_cls: 3.9687, loss: 3.9687 +2025-05-13 17:02:53,573 - pyskl - INFO - Epoch [7][2000/2506] lr: 2.487e-02, eta: 1 day, 18:15:04, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.7475, top5_acc: 0.9625, loss_cls: 3.7317, loss: 3.7317 +2025-05-13 17:03:35,673 - pyskl - INFO - Epoch [7][2100/2506] lr: 2.487e-02, eta: 1 day, 18:14:16, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.7469, top5_acc: 0.9650, loss_cls: 3.7169, loss: 3.7169 +2025-05-13 17:04:17,673 - pyskl - INFO - Epoch [7][2200/2506] lr: 2.487e-02, eta: 1 day, 18:13:25, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7544, top5_acc: 0.9569, loss_cls: 3.7587, loss: 3.7587 +2025-05-13 17:04:59,477 - pyskl - INFO - Epoch [7][2300/2506] lr: 2.487e-02, eta: 1 day, 18:12:31, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7719, top5_acc: 0.9594, loss_cls: 3.7426, loss: 3.7426 +2025-05-13 17:05:41,602 - pyskl - INFO - Epoch [7][2400/2506] lr: 2.487e-02, eta: 1 day, 18:11:44, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.7544, top5_acc: 0.9606, loss_cls: 3.7529, loss: 3.7529 +2025-05-13 17:06:22,578 - pyskl - INFO - Epoch [7][2500/2506] lr: 2.487e-02, eta: 1 day, 18:10:32, time: 0.410, data_time: 0.000, memory: 10837, top1_acc: 0.7500, top5_acc: 0.9656, loss_cls: 3.6960, loss: 3.6960 +2025-05-13 17:06:26,090 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-05-13 17:07:39,060 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 17:07:39,130 - pyskl - INFO - +top1_acc 0.7481 +top5_acc 0.9514 +2025-05-13 17:07:39,203 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_5.pth was removed +2025-05-13 17:07:40,540 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-05-13 17:07:40,541 - pyskl - INFO - Best top1_acc is 0.7481 at 7 epoch. +2025-05-13 17:07:40,544 - pyskl - INFO - Epoch(val) [7][1031] top1_acc: 0.7481, top5_acc: 0.9514 +2025-05-13 17:08:50,638 - pyskl - INFO - Epoch [8][100/2506] lr: 2.486e-02, eta: 1 day, 18:18:19, time: 0.701, data_time: 0.279, memory: 10837, top1_acc: 0.7600, top5_acc: 0.9637, loss_cls: 3.6775, loss: 3.6775 +2025-05-13 17:09:31,730 - pyskl - INFO - Epoch [8][200/2506] lr: 2.486e-02, eta: 1 day, 18:17:08, time: 0.411, data_time: 0.000, memory: 10837, top1_acc: 0.7531, top5_acc: 0.9681, loss_cls: 3.7135, loss: 3.7135 +2025-05-13 17:10:12,517 - pyskl - INFO - Epoch [8][300/2506] lr: 2.486e-02, eta: 1 day, 18:15:51, time: 0.408, data_time: 0.000, memory: 10837, top1_acc: 0.7712, top5_acc: 0.9613, loss_cls: 3.6226, loss: 3.6226 +2025-05-13 17:10:54,184 - pyskl - INFO - Epoch [8][400/2506] lr: 2.486e-02, eta: 1 day, 18:14:52, time: 0.417, data_time: 0.000, memory: 10837, top1_acc: 0.7712, top5_acc: 0.9600, loss_cls: 3.7300, loss: 3.7300 +2025-05-13 17:11:35,255 - pyskl - INFO - Epoch [8][500/2506] lr: 2.486e-02, eta: 1 day, 18:13:41, time: 0.411, data_time: 0.000, memory: 10837, top1_acc: 0.7619, top5_acc: 0.9688, loss_cls: 3.6747, loss: 3.6747 +2025-05-13 17:12:16,668 - pyskl - INFO - Epoch [8][600/2506] lr: 2.486e-02, eta: 1 day, 18:12:38, time: 0.414, data_time: 0.000, memory: 10837, top1_acc: 0.7788, top5_acc: 0.9644, loss_cls: 3.7710, loss: 3.7710 +2025-05-13 17:12:58,084 - pyskl - INFO - Epoch [8][700/2506] lr: 2.486e-02, eta: 1 day, 18:11:34, time: 0.414, data_time: 0.000, memory: 10837, top1_acc: 0.7700, top5_acc: 0.9631, loss_cls: 3.6406, loss: 3.6406 +2025-05-13 17:13:39,245 - pyskl - INFO - Epoch [8][800/2506] lr: 2.485e-02, eta: 1 day, 18:10:26, time: 0.412, data_time: 0.000, memory: 10837, top1_acc: 0.7569, top5_acc: 0.9637, loss_cls: 3.7437, loss: 3.7437 +2025-05-13 17:14:21,115 - pyskl - INFO - Epoch [8][900/2506] lr: 2.485e-02, eta: 1 day, 18:09:32, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7550, top5_acc: 0.9550, loss_cls: 3.7716, loss: 3.7716 +2025-05-13 17:15:02,348 - pyskl - INFO - Epoch [8][1000/2506] lr: 2.485e-02, eta: 1 day, 18:08:26, time: 0.412, data_time: 0.000, memory: 10837, top1_acc: 0.7719, top5_acc: 0.9675, loss_cls: 3.7306, loss: 3.7306 +2025-05-13 17:15:43,914 - pyskl - INFO - Epoch [8][1100/2506] lr: 2.485e-02, eta: 1 day, 18:07:27, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.7625, top5_acc: 0.9606, loss_cls: 3.7458, loss: 3.7458 +2025-05-13 17:16:25,519 - pyskl - INFO - Epoch [8][1200/2506] lr: 2.485e-02, eta: 1 day, 18:06:28, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.7462, top5_acc: 0.9569, loss_cls: 3.8604, loss: 3.8604 +2025-05-13 17:17:06,553 - pyskl - INFO - Epoch [8][1300/2506] lr: 2.485e-02, eta: 1 day, 18:05:19, time: 0.410, data_time: 0.000, memory: 10837, top1_acc: 0.7775, top5_acc: 0.9575, loss_cls: 3.6596, loss: 3.6596 +2025-05-13 17:17:48,455 - pyskl - INFO - Epoch [8][1400/2506] lr: 2.484e-02, eta: 1 day, 18:04:27, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7619, top5_acc: 0.9663, loss_cls: 3.7698, loss: 3.7698 +2025-05-13 17:18:30,608 - pyskl - INFO - Epoch [8][1500/2506] lr: 2.484e-02, eta: 1 day, 18:03:39, time: 0.422, data_time: 0.000, memory: 10837, top1_acc: 0.7806, top5_acc: 0.9750, loss_cls: 3.6655, loss: 3.6655 +2025-05-13 17:19:13,587 - pyskl - INFO - Epoch [8][1600/2506] lr: 2.484e-02, eta: 1 day, 18:03:07, time: 0.430, data_time: 0.000, memory: 10837, top1_acc: 0.7688, top5_acc: 0.9625, loss_cls: 3.7859, loss: 3.7859 +2025-05-13 17:19:56,151 - pyskl - INFO - Epoch [8][1700/2506] lr: 2.484e-02, eta: 1 day, 18:02:27, time: 0.426, data_time: 0.000, memory: 10837, top1_acc: 0.7706, top5_acc: 0.9600, loss_cls: 3.6407, loss: 3.6407 +2025-05-13 17:20:38,565 - pyskl - INFO - Epoch [8][1800/2506] lr: 2.484e-02, eta: 1 day, 18:01:44, time: 0.424, data_time: 0.000, memory: 10837, top1_acc: 0.7750, top5_acc: 0.9600, loss_cls: 3.5937, loss: 3.5937 +2025-05-13 17:21:20,627 - pyskl - INFO - Epoch [8][1900/2506] lr: 2.484e-02, eta: 1 day, 18:00:55, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.7712, top5_acc: 0.9650, loss_cls: 3.6400, loss: 3.6400 +2025-05-13 17:22:03,435 - pyskl - INFO - Epoch [8][2000/2506] lr: 2.483e-02, eta: 1 day, 18:00:19, time: 0.428, data_time: 0.001, memory: 10837, top1_acc: 0.7500, top5_acc: 0.9587, loss_cls: 3.7119, loss: 3.7119 +2025-05-13 17:22:44,728 - pyskl - INFO - Epoch [8][2100/2506] lr: 2.483e-02, eta: 1 day, 17:59:16, time: 0.413, data_time: 0.000, memory: 10837, top1_acc: 0.7725, top5_acc: 0.9681, loss_cls: 3.7154, loss: 3.7154 +2025-05-13 17:23:26,605 - pyskl - INFO - Epoch [8][2200/2506] lr: 2.483e-02, eta: 1 day, 17:58:23, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7831, top5_acc: 0.9681, loss_cls: 3.5199, loss: 3.5199 +2025-05-13 17:24:08,489 - pyskl - INFO - Epoch [8][2300/2506] lr: 2.483e-02, eta: 1 day, 17:57:31, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7738, top5_acc: 0.9681, loss_cls: 3.7281, loss: 3.7281 +2025-05-13 17:24:50,096 - pyskl - INFO - Epoch [8][2400/2506] lr: 2.483e-02, eta: 1 day, 17:56:34, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.7913, top5_acc: 0.9650, loss_cls: 3.6196, loss: 3.6196 +2025-05-13 17:25:31,618 - pyskl - INFO - Epoch [8][2500/2506] lr: 2.483e-02, eta: 1 day, 17:55:36, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.7494, top5_acc: 0.9537, loss_cls: 3.7953, loss: 3.7953 +2025-05-13 17:25:34,891 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-05-13 17:26:48,427 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 17:26:48,522 - pyskl - INFO - +top1_acc 0.7408 +top5_acc 0.9490 +2025-05-13 17:26:48,525 - pyskl - INFO - Epoch(val) [8][1031] top1_acc: 0.7408, top5_acc: 0.9490 +2025-05-13 17:27:57,224 - pyskl - INFO - Epoch [9][100/2506] lr: 2.482e-02, eta: 1 day, 18:01:50, time: 0.687, data_time: 0.269, memory: 10837, top1_acc: 0.8081, top5_acc: 0.9656, loss_cls: 3.5154, loss: 3.5154 +2025-05-13 17:28:38,976 - pyskl - INFO - Epoch [9][200/2506] lr: 2.482e-02, eta: 1 day, 18:00:54, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7919, top5_acc: 0.9650, loss_cls: 3.5842, loss: 3.5842 +2025-05-13 17:29:21,344 - pyskl - INFO - Epoch [9][300/2506] lr: 2.482e-02, eta: 1 day, 18:00:08, time: 0.424, data_time: 0.000, memory: 10837, top1_acc: 0.8050, top5_acc: 0.9688, loss_cls: 3.4700, loss: 3.4700 +2025-05-13 17:30:02,957 - pyskl - INFO - Epoch [9][400/2506] lr: 2.482e-02, eta: 1 day, 17:59:10, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.7781, top5_acc: 0.9600, loss_cls: 3.5644, loss: 3.5644 +2025-05-13 17:30:44,480 - pyskl - INFO - Epoch [9][500/2506] lr: 2.482e-02, eta: 1 day, 17:58:10, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.7919, top5_acc: 0.9600, loss_cls: 3.5940, loss: 3.5940 +2025-05-13 17:31:26,345 - pyskl - INFO - Epoch [9][600/2506] lr: 2.481e-02, eta: 1 day, 17:57:16, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7681, top5_acc: 0.9644, loss_cls: 3.6625, loss: 3.6625 +2025-05-13 17:32:08,428 - pyskl - INFO - Epoch [9][700/2506] lr: 2.481e-02, eta: 1 day, 17:56:26, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.7656, top5_acc: 0.9644, loss_cls: 3.6484, loss: 3.6484 +2025-05-13 17:32:49,859 - pyskl - INFO - Epoch [9][800/2506] lr: 2.481e-02, eta: 1 day, 17:55:25, time: 0.414, data_time: 0.001, memory: 10837, top1_acc: 0.7712, top5_acc: 0.9631, loss_cls: 3.6301, loss: 3.6301 +2025-05-13 17:33:30,653 - pyskl - INFO - Epoch [9][900/2506] lr: 2.481e-02, eta: 1 day, 17:54:14, time: 0.408, data_time: 0.000, memory: 10837, top1_acc: 0.7931, top5_acc: 0.9669, loss_cls: 3.5695, loss: 3.5695 +2025-05-13 17:34:11,985 - pyskl - INFO - Epoch [9][1000/2506] lr: 2.481e-02, eta: 1 day, 17:53:11, time: 0.413, data_time: 0.000, memory: 10837, top1_acc: 0.7825, top5_acc: 0.9644, loss_cls: 3.5001, loss: 3.5001 +2025-05-13 17:34:53,858 - pyskl - INFO - Epoch [9][1100/2506] lr: 2.481e-02, eta: 1 day, 17:52:19, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7719, top5_acc: 0.9600, loss_cls: 3.6048, loss: 3.6048 +2025-05-13 17:35:35,149 - pyskl - INFO - Epoch [9][1200/2506] lr: 2.480e-02, eta: 1 day, 17:51:16, time: 0.413, data_time: 0.000, memory: 10837, top1_acc: 0.7881, top5_acc: 0.9731, loss_cls: 3.5196, loss: 3.5196 +2025-05-13 17:36:16,240 - pyskl - INFO - Epoch [9][1300/2506] lr: 2.480e-02, eta: 1 day, 17:50:10, time: 0.411, data_time: 0.000, memory: 10837, top1_acc: 0.7788, top5_acc: 0.9675, loss_cls: 3.5150, loss: 3.5150 +2025-05-13 17:36:56,940 - pyskl - INFO - Epoch [9][1400/2506] lr: 2.480e-02, eta: 1 day, 17:48:58, time: 0.407, data_time: 0.000, memory: 10837, top1_acc: 0.7575, top5_acc: 0.9675, loss_cls: 3.6898, loss: 3.6898 +2025-05-13 17:37:38,294 - pyskl - INFO - Epoch [9][1500/2506] lr: 2.480e-02, eta: 1 day, 17:47:58, time: 0.414, data_time: 0.000, memory: 10837, top1_acc: 0.8044, top5_acc: 0.9725, loss_cls: 3.4901, loss: 3.4901 +2025-05-13 17:38:20,298 - pyskl - INFO - Epoch [9][1600/2506] lr: 2.480e-02, eta: 1 day, 17:47:08, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7581, top5_acc: 0.9656, loss_cls: 3.6748, loss: 3.6748 +2025-05-13 17:39:02,459 - pyskl - INFO - Epoch [9][1700/2506] lr: 2.479e-02, eta: 1 day, 17:46:20, time: 0.422, data_time: 0.000, memory: 10837, top1_acc: 0.7600, top5_acc: 0.9606, loss_cls: 3.6822, loss: 3.6822 +2025-05-13 17:39:44,756 - pyskl - INFO - Epoch [9][1800/2506] lr: 2.479e-02, eta: 1 day, 17:45:35, time: 0.423, data_time: 0.000, memory: 10837, top1_acc: 0.7756, top5_acc: 0.9656, loss_cls: 3.6187, loss: 3.6187 +2025-05-13 17:40:25,917 - pyskl - INFO - Epoch [9][1900/2506] lr: 2.479e-02, eta: 1 day, 17:44:32, time: 0.412, data_time: 0.000, memory: 10837, top1_acc: 0.7875, top5_acc: 0.9650, loss_cls: 3.6504, loss: 3.6504 +2025-05-13 17:41:08,517 - pyskl - INFO - Epoch [9][2000/2506] lr: 2.479e-02, eta: 1 day, 17:43:51, time: 0.426, data_time: 0.000, memory: 10837, top1_acc: 0.7738, top5_acc: 0.9506, loss_cls: 3.6273, loss: 3.6273 +2025-05-13 17:41:50,634 - pyskl - INFO - Epoch [9][2100/2506] lr: 2.479e-02, eta: 1 day, 17:43:03, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.7612, top5_acc: 0.9700, loss_cls: 3.6268, loss: 3.6268 +2025-05-13 17:42:33,722 - pyskl - INFO - Epoch [9][2200/2506] lr: 2.478e-02, eta: 1 day, 17:42:31, time: 0.431, data_time: 0.000, memory: 10837, top1_acc: 0.7581, top5_acc: 0.9625, loss_cls: 3.7314, loss: 3.7314 +2025-05-13 17:43:15,556 - pyskl - INFO - Epoch [9][2300/2506] lr: 2.478e-02, eta: 1 day, 17:41:39, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7775, top5_acc: 0.9694, loss_cls: 3.6390, loss: 3.6390 +2025-05-13 17:43:58,172 - pyskl - INFO - Epoch [9][2400/2506] lr: 2.478e-02, eta: 1 day, 17:40:59, time: 0.426, data_time: 0.000, memory: 10837, top1_acc: 0.7688, top5_acc: 0.9706, loss_cls: 3.5938, loss: 3.5938 +2025-05-13 17:44:40,242 - pyskl - INFO - Epoch [9][2500/2506] lr: 2.478e-02, eta: 1 day, 17:40:10, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.8013, top5_acc: 0.9756, loss_cls: 3.4035, loss: 3.4035 +2025-05-13 17:44:43,444 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-05-13 17:45:56,074 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 17:45:56,146 - pyskl - INFO - +top1_acc 0.7491 +top5_acc 0.9533 +2025-05-13 17:45:56,233 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_7.pth was removed +2025-05-13 17:45:57,697 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-05-13 17:45:57,698 - pyskl - INFO - Best top1_acc is 0.7491 at 9 epoch. +2025-05-13 17:45:57,700 - pyskl - INFO - Epoch(val) [9][1031] top1_acc: 0.7491, top5_acc: 0.9533 +2025-05-13 17:47:06,004 - pyskl - INFO - Epoch [10][100/2506] lr: 2.478e-02, eta: 1 day, 17:45:29, time: 0.683, data_time: 0.274, memory: 10837, top1_acc: 0.7994, top5_acc: 0.9719, loss_cls: 3.4640, loss: 3.4640 +2025-05-13 17:47:49,659 - pyskl - INFO - Epoch [10][200/2506] lr: 2.477e-02, eta: 1 day, 17:45:03, time: 0.437, data_time: 0.000, memory: 10837, top1_acc: 0.7781, top5_acc: 0.9544, loss_cls: 3.5324, loss: 3.5324 +2025-05-13 17:48:30,899 - pyskl - INFO - Epoch [10][300/2506] lr: 2.477e-02, eta: 1 day, 17:44:00, time: 0.412, data_time: 0.000, memory: 10837, top1_acc: 0.8013, top5_acc: 0.9631, loss_cls: 3.6137, loss: 3.6137 +2025-05-13 17:49:12,583 - pyskl - INFO - Epoch [10][400/2506] lr: 2.477e-02, eta: 1 day, 17:43:04, time: 0.417, data_time: 0.000, memory: 10837, top1_acc: 0.7869, top5_acc: 0.9619, loss_cls: 3.6124, loss: 3.6124 +2025-05-13 17:49:54,313 - pyskl - INFO - Epoch [10][500/2506] lr: 2.477e-02, eta: 1 day, 17:42:09, time: 0.417, data_time: 0.000, memory: 10837, top1_acc: 0.7875, top5_acc: 0.9675, loss_cls: 3.5526, loss: 3.5526 +2025-05-13 17:50:36,418 - pyskl - INFO - Epoch [10][600/2506] lr: 2.477e-02, eta: 1 day, 17:41:20, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.7944, top5_acc: 0.9800, loss_cls: 3.5005, loss: 3.5005 +2025-05-13 17:51:18,132 - pyskl - INFO - Epoch [10][700/2506] lr: 2.476e-02, eta: 1 day, 17:40:24, time: 0.417, data_time: 0.000, memory: 10837, top1_acc: 0.8106, top5_acc: 0.9806, loss_cls: 3.4316, loss: 3.4316 +2025-05-13 17:51:59,964 - pyskl - INFO - Epoch [10][800/2506] lr: 2.476e-02, eta: 1 day, 17:39:31, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.8044, top5_acc: 0.9706, loss_cls: 3.4268, loss: 3.4268 +2025-05-13 17:52:41,741 - pyskl - INFO - Epoch [10][900/2506] lr: 2.476e-02, eta: 1 day, 17:38:37, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7931, top5_acc: 0.9688, loss_cls: 3.5543, loss: 3.5543 +2025-05-13 17:53:23,531 - pyskl - INFO - Epoch [10][1000/2506] lr: 2.476e-02, eta: 1 day, 17:37:43, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7919, top5_acc: 0.9688, loss_cls: 3.5557, loss: 3.5557 +2025-05-13 17:54:03,807 - pyskl - INFO - Epoch [10][1100/2506] lr: 2.476e-02, eta: 1 day, 17:36:27, time: 0.403, data_time: 0.000, memory: 10837, top1_acc: 0.8037, top5_acc: 0.9744, loss_cls: 3.4855, loss: 3.4855 +2025-05-13 17:54:45,188 - pyskl - INFO - Epoch [10][1200/2506] lr: 2.475e-02, eta: 1 day, 17:35:28, time: 0.414, data_time: 0.000, memory: 10837, top1_acc: 0.7794, top5_acc: 0.9681, loss_cls: 3.4888, loss: 3.4888 +2025-05-13 17:55:27,076 - pyskl - INFO - Epoch [10][1300/2506] lr: 2.475e-02, eta: 1 day, 17:34:36, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7850, top5_acc: 0.9613, loss_cls: 3.5798, loss: 3.5798 +2025-05-13 17:56:08,693 - pyskl - INFO - Epoch [10][1400/2506] lr: 2.475e-02, eta: 1 day, 17:33:40, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.7869, top5_acc: 0.9688, loss_cls: 3.4626, loss: 3.4626 +2025-05-13 17:56:50,230 - pyskl - INFO - Epoch [10][1500/2506] lr: 2.475e-02, eta: 1 day, 17:32:43, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.7950, top5_acc: 0.9706, loss_cls: 3.5138, loss: 3.5138 +2025-05-13 17:57:32,065 - pyskl - INFO - Epoch [10][1600/2506] lr: 2.475e-02, eta: 1 day, 17:31:51, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7944, top5_acc: 0.9706, loss_cls: 3.4989, loss: 3.4989 +2025-05-13 17:58:14,008 - pyskl - INFO - Epoch [10][1700/2506] lr: 2.474e-02, eta: 1 day, 17:31:00, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7675, top5_acc: 0.9550, loss_cls: 3.6633, loss: 3.6633 +2025-05-13 17:58:55,908 - pyskl - INFO - Epoch [10][1800/2506] lr: 2.474e-02, eta: 1 day, 17:30:09, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7856, top5_acc: 0.9700, loss_cls: 3.5570, loss: 3.5570 +2025-05-13 17:59:37,137 - pyskl - INFO - Epoch [10][1900/2506] lr: 2.474e-02, eta: 1 day, 17:29:08, time: 0.412, data_time: 0.000, memory: 10837, top1_acc: 0.7913, top5_acc: 0.9644, loss_cls: 3.4758, loss: 3.4758 +2025-05-13 18:00:19,074 - pyskl - INFO - Epoch [10][2000/2506] lr: 2.474e-02, eta: 1 day, 17:28:18, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7931, top5_acc: 0.9712, loss_cls: 3.4842, loss: 3.4842 +2025-05-13 18:01:01,185 - pyskl - INFO - Epoch [10][2100/2506] lr: 2.474e-02, eta: 1 day, 17:27:30, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.7863, top5_acc: 0.9712, loss_cls: 3.4808, loss: 3.4808 +2025-05-13 18:01:42,944 - pyskl - INFO - Epoch [10][2200/2506] lr: 2.473e-02, eta: 1 day, 17:26:37, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7638, top5_acc: 0.9550, loss_cls: 3.6056, loss: 3.6056 +2025-05-13 18:02:24,901 - pyskl - INFO - Epoch [10][2300/2506] lr: 2.473e-02, eta: 1 day, 17:25:47, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7944, top5_acc: 0.9650, loss_cls: 3.4326, loss: 3.4326 +2025-05-13 18:03:06,737 - pyskl - INFO - Epoch [10][2400/2506] lr: 2.473e-02, eta: 1 day, 17:24:55, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.8081, top5_acc: 0.9738, loss_cls: 3.3976, loss: 3.3976 +2025-05-13 18:03:48,541 - pyskl - INFO - Epoch [10][2500/2506] lr: 2.473e-02, eta: 1 day, 17:24:03, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7837, top5_acc: 0.9681, loss_cls: 3.5278, loss: 3.5278 +2025-05-13 18:03:52,025 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-05-13 18:05:05,536 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 18:05:05,629 - pyskl - INFO - +top1_acc 0.7346 +top5_acc 0.9376 +2025-05-13 18:05:05,632 - pyskl - INFO - Epoch(val) [10][1031] top1_acc: 0.7346, top5_acc: 0.9376 +2025-05-13 18:06:13,359 - pyskl - INFO - Epoch [11][100/2506] lr: 2.472e-02, eta: 1 day, 17:28:35, time: 0.677, data_time: 0.262, memory: 10837, top1_acc: 0.7975, top5_acc: 0.9756, loss_cls: 3.5245, loss: 3.5245 +2025-05-13 18:06:55,322 - pyskl - INFO - Epoch [11][200/2506] lr: 2.472e-02, eta: 1 day, 17:27:44, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7887, top5_acc: 0.9756, loss_cls: 3.4540, loss: 3.4540 +2025-05-13 18:07:36,743 - pyskl - INFO - Epoch [11][300/2506] lr: 2.472e-02, eta: 1 day, 17:26:45, time: 0.414, data_time: 0.000, memory: 10837, top1_acc: 0.8050, top5_acc: 0.9712, loss_cls: 3.4334, loss: 3.4334 +2025-05-13 18:08:18,684 - pyskl - INFO - Epoch [11][400/2506] lr: 2.472e-02, eta: 1 day, 17:25:54, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.8037, top5_acc: 0.9669, loss_cls: 3.4073, loss: 3.4073 +2025-05-13 18:08:59,292 - pyskl - INFO - Epoch [11][500/2506] lr: 2.472e-02, eta: 1 day, 17:24:45, time: 0.406, data_time: 0.000, memory: 10837, top1_acc: 0.7925, top5_acc: 0.9675, loss_cls: 3.5534, loss: 3.5534 +2025-05-13 18:09:41,253 - pyskl - INFO - Epoch [11][600/2506] lr: 2.471e-02, eta: 1 day, 17:23:54, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7944, top5_acc: 0.9644, loss_cls: 3.4168, loss: 3.4168 +2025-05-13 18:10:23,032 - pyskl - INFO - Epoch [11][700/2506] lr: 2.471e-02, eta: 1 day, 17:23:01, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7931, top5_acc: 0.9688, loss_cls: 3.4235, loss: 3.4235 +2025-05-13 18:11:04,840 - pyskl - INFO - Epoch [11][800/2506] lr: 2.471e-02, eta: 1 day, 17:22:08, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7981, top5_acc: 0.9650, loss_cls: 3.4534, loss: 3.4534 +2025-05-13 18:11:46,257 - pyskl - INFO - Epoch [11][900/2506] lr: 2.471e-02, eta: 1 day, 17:21:11, time: 0.414, data_time: 0.000, memory: 10837, top1_acc: 0.8081, top5_acc: 0.9725, loss_cls: 3.4778, loss: 3.4778 +2025-05-13 18:12:27,463 - pyskl - INFO - Epoch [11][1000/2506] lr: 2.470e-02, eta: 1 day, 17:20:10, time: 0.412, data_time: 0.000, memory: 10837, top1_acc: 0.8119, top5_acc: 0.9738, loss_cls: 3.3807, loss: 3.3807 +2025-05-13 18:13:09,007 - pyskl - INFO - Epoch [11][1100/2506] lr: 2.470e-02, eta: 1 day, 17:19:14, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.8137, top5_acc: 0.9700, loss_cls: 3.3802, loss: 3.3802 +2025-05-13 18:13:50,832 - pyskl - INFO - Epoch [11][1200/2506] lr: 2.470e-02, eta: 1 day, 17:18:22, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7681, top5_acc: 0.9681, loss_cls: 3.5177, loss: 3.5177 +2025-05-13 18:14:32,870 - pyskl - INFO - Epoch [11][1300/2506] lr: 2.470e-02, eta: 1 day, 17:17:33, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.8013, top5_acc: 0.9756, loss_cls: 3.4267, loss: 3.4267 +2025-05-13 18:15:15,224 - pyskl - INFO - Epoch [11][1400/2506] lr: 2.470e-02, eta: 1 day, 17:16:48, time: 0.424, data_time: 0.000, memory: 10837, top1_acc: 0.8019, top5_acc: 0.9675, loss_cls: 3.3757, loss: 3.3757 +2025-05-13 18:15:56,989 - pyskl - INFO - Epoch [11][1500/2506] lr: 2.469e-02, eta: 1 day, 17:15:56, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.8075, top5_acc: 0.9781, loss_cls: 3.4075, loss: 3.4075 +2025-05-13 18:16:38,936 - pyskl - INFO - Epoch [11][1600/2506] lr: 2.469e-02, eta: 1 day, 17:15:06, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.8100, top5_acc: 0.9688, loss_cls: 3.3463, loss: 3.3463 +2025-05-13 18:17:20,720 - pyskl - INFO - Epoch [11][1700/2506] lr: 2.469e-02, eta: 1 day, 17:14:14, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7869, top5_acc: 0.9688, loss_cls: 3.4754, loss: 3.4754 +2025-05-13 18:18:02,688 - pyskl - INFO - Epoch [11][1800/2506] lr: 2.469e-02, eta: 1 day, 17:13:24, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7987, top5_acc: 0.9694, loss_cls: 3.4915, loss: 3.4915 +2025-05-13 18:18:44,783 - pyskl - INFO - Epoch [11][1900/2506] lr: 2.468e-02, eta: 1 day, 17:12:36, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.8044, top5_acc: 0.9681, loss_cls: 3.4833, loss: 3.4833 +2025-05-13 18:19:26,733 - pyskl - INFO - Epoch [11][2000/2506] lr: 2.468e-02, eta: 1 day, 17:11:46, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.8006, top5_acc: 0.9637, loss_cls: 3.4814, loss: 3.4814 +2025-05-13 18:20:08,576 - pyskl - INFO - Epoch [11][2100/2506] lr: 2.468e-02, eta: 1 day, 17:10:55, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.7994, top5_acc: 0.9681, loss_cls: 3.4471, loss: 3.4471 +2025-05-13 18:20:49,977 - pyskl - INFO - Epoch [11][2200/2506] lr: 2.468e-02, eta: 1 day, 17:09:58, time: 0.414, data_time: 0.000, memory: 10837, top1_acc: 0.8063, top5_acc: 0.9694, loss_cls: 3.4413, loss: 3.4413 +2025-05-13 18:21:31,453 - pyskl - INFO - Epoch [11][2300/2506] lr: 2.467e-02, eta: 1 day, 17:09:03, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.7819, top5_acc: 0.9650, loss_cls: 3.3883, loss: 3.3883 +2025-05-13 18:22:13,093 - pyskl - INFO - Epoch [11][2400/2506] lr: 2.467e-02, eta: 1 day, 17:08:09, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.8150, top5_acc: 0.9725, loss_cls: 3.3457, loss: 3.3457 +2025-05-13 18:22:54,752 - pyskl - INFO - Epoch [11][2500/2506] lr: 2.467e-02, eta: 1 day, 17:07:16, time: 0.417, data_time: 0.000, memory: 10837, top1_acc: 0.8056, top5_acc: 0.9675, loss_cls: 3.4481, loss: 3.4481 +2025-05-13 18:22:57,922 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-05-13 18:24:10,315 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 18:24:10,384 - pyskl - INFO - +top1_acc 0.7790 +top5_acc 0.9640 +2025-05-13 18:24:10,449 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_9.pth was removed +2025-05-13 18:24:11,728 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-05-13 18:24:11,729 - pyskl - INFO - Best top1_acc is 0.7790 at 11 epoch. +2025-05-13 18:24:11,732 - pyskl - INFO - Epoch(val) [11][1031] top1_acc: 0.7790, top5_acc: 0.9640 +2025-05-13 18:25:19,946 - pyskl - INFO - Epoch [12][100/2506] lr: 2.467e-02, eta: 1 day, 17:11:22, time: 0.682, data_time: 0.261, memory: 10837, top1_acc: 0.8006, top5_acc: 0.9731, loss_cls: 3.3542, loss: 3.3542 +2025-05-13 18:26:01,449 - pyskl - INFO - Epoch [12][200/2506] lr: 2.466e-02, eta: 1 day, 17:10:26, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.8200, top5_acc: 0.9769, loss_cls: 3.3039, loss: 3.3039 +2025-05-13 18:26:42,828 - pyskl - INFO - Epoch [12][300/2506] lr: 2.466e-02, eta: 1 day, 17:09:29, time: 0.414, data_time: 0.000, memory: 10837, top1_acc: 0.8044, top5_acc: 0.9750, loss_cls: 3.4165, loss: 3.4165 +2025-05-13 18:27:24,451 - pyskl - INFO - Epoch [12][400/2506] lr: 2.466e-02, eta: 1 day, 17:08:34, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.7913, top5_acc: 0.9663, loss_cls: 3.4625, loss: 3.4625 +2025-05-13 18:28:06,704 - pyskl - INFO - Epoch [12][500/2506] lr: 2.466e-02, eta: 1 day, 17:07:48, time: 0.423, data_time: 0.000, memory: 10837, top1_acc: 0.8063, top5_acc: 0.9669, loss_cls: 3.3286, loss: 3.3286 +2025-05-13 18:28:48,603 - pyskl - INFO - Epoch [12][600/2506] lr: 2.466e-02, eta: 1 day, 17:06:57, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.8131, top5_acc: 0.9731, loss_cls: 3.4088, loss: 3.4088 +2025-05-13 18:29:30,552 - pyskl - INFO - Epoch [12][700/2506] lr: 2.465e-02, eta: 1 day, 17:06:07, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.8250, top5_acc: 0.9769, loss_cls: 3.1727, loss: 3.1727 +2025-05-13 18:30:12,426 - pyskl - INFO - Epoch [12][800/2506] lr: 2.465e-02, eta: 1 day, 17:05:16, time: 0.419, data_time: 0.000, memory: 10837, top1_acc: 0.7956, top5_acc: 0.9750, loss_cls: 3.4422, loss: 3.4422 +2025-05-13 18:30:53,907 - pyskl - INFO - Epoch [12][900/2506] lr: 2.465e-02, eta: 1 day, 17:04:20, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.8137, top5_acc: 0.9700, loss_cls: 3.3510, loss: 3.3510 +2025-05-13 18:31:34,637 - pyskl - INFO - Epoch [12][1000/2506] lr: 2.465e-02, eta: 1 day, 17:03:15, time: 0.407, data_time: 0.000, memory: 10837, top1_acc: 0.8094, top5_acc: 0.9725, loss_cls: 3.2884, loss: 3.2884 +2025-05-13 18:32:15,889 - pyskl - INFO - Epoch [12][1100/2506] lr: 2.464e-02, eta: 1 day, 17:02:17, time: 0.413, data_time: 0.000, memory: 10837, top1_acc: 0.7969, top5_acc: 0.9706, loss_cls: 3.4716, loss: 3.4716 +2025-05-13 18:32:57,060 - pyskl - INFO - Epoch [12][1200/2506] lr: 2.464e-02, eta: 1 day, 17:01:18, time: 0.412, data_time: 0.000, memory: 10837, top1_acc: 0.7963, top5_acc: 0.9725, loss_cls: 3.3575, loss: 3.3575 +2025-05-13 18:33:38,908 - pyskl - INFO - Epoch [12][1300/2506] lr: 2.464e-02, eta: 1 day, 17:00:27, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.8000, top5_acc: 0.9694, loss_cls: 3.4186, loss: 3.4186 +2025-05-13 18:34:20,925 - pyskl - INFO - Epoch [12][1400/2506] lr: 2.464e-02, eta: 1 day, 16:59:38, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7900, top5_acc: 0.9631, loss_cls: 3.4343, loss: 3.4343 +2025-05-13 18:35:03,245 - pyskl - INFO - Epoch [12][1500/2506] lr: 2.463e-02, eta: 1 day, 16:58:53, time: 0.423, data_time: 0.000, memory: 10837, top1_acc: 0.8019, top5_acc: 0.9650, loss_cls: 3.4137, loss: 3.4137 +2025-05-13 18:35:45,265 - pyskl - INFO - Epoch [12][1600/2506] lr: 2.463e-02, eta: 1 day, 16:58:04, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.8075, top5_acc: 0.9700, loss_cls: 3.3710, loss: 3.3710 +2025-05-13 18:36:26,840 - pyskl - INFO - Epoch [12][1700/2506] lr: 2.463e-02, eta: 1 day, 16:57:10, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.7994, top5_acc: 0.9675, loss_cls: 3.4128, loss: 3.4128 +2025-05-13 18:37:09,188 - pyskl - INFO - Epoch [12][1800/2506] lr: 2.463e-02, eta: 1 day, 16:56:26, time: 0.423, data_time: 0.000, memory: 10837, top1_acc: 0.8025, top5_acc: 0.9719, loss_cls: 3.3577, loss: 3.3577 +2025-05-13 18:37:51,000 - pyskl - INFO - Epoch [12][1900/2506] lr: 2.462e-02, eta: 1 day, 16:55:35, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.8000, top5_acc: 0.9744, loss_cls: 3.4377, loss: 3.4377 +2025-05-13 18:38:33,112 - pyskl - INFO - Epoch [12][2000/2506] lr: 2.462e-02, eta: 1 day, 16:54:47, time: 0.421, data_time: 0.000, memory: 10837, top1_acc: 0.8081, top5_acc: 0.9719, loss_cls: 3.3612, loss: 3.3612 +2025-05-13 18:39:15,076 - pyskl - INFO - Epoch [12][2100/2506] lr: 2.462e-02, eta: 1 day, 16:53:58, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.7931, top5_acc: 0.9725, loss_cls: 3.5386, loss: 3.5386 +2025-05-13 18:39:56,585 - pyskl - INFO - Epoch [12][2200/2506] lr: 2.462e-02, eta: 1 day, 16:53:04, time: 0.415, data_time: 0.000, memory: 10837, top1_acc: 0.8069, top5_acc: 0.9681, loss_cls: 3.3887, loss: 3.3887 +2025-05-13 18:40:38,207 - pyskl - INFO - Epoch [12][2300/2506] lr: 2.461e-02, eta: 1 day, 16:52:11, time: 0.416, data_time: 0.000, memory: 10837, top1_acc: 0.8131, top5_acc: 0.9731, loss_cls: 3.3212, loss: 3.3212 +2025-05-13 18:41:19,983 - pyskl - INFO - Epoch [12][2400/2506] lr: 2.461e-02, eta: 1 day, 16:51:20, time: 0.418, data_time: 0.000, memory: 10837, top1_acc: 0.8119, top5_acc: 0.9681, loss_cls: 3.3053, loss: 3.3053 +2025-05-13 18:42:01,961 - pyskl - INFO - Epoch [12][2500/2506] lr: 2.461e-02, eta: 1 day, 16:50:31, time: 0.420, data_time: 0.000, memory: 10837, top1_acc: 0.8125, top5_acc: 0.9738, loss_cls: 3.3335, loss: 3.3335 +2025-05-13 18:42:05,163 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-05-13 18:43:16,734 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 18:43:16,810 - pyskl - INFO - +top1_acc 0.7297 +top5_acc 0.9547 +2025-05-13 18:43:16,813 - pyskl - INFO - Epoch(val) [12][1031] top1_acc: 0.7297, top5_acc: 0.9547 +2025-05-13 18:44:25,235 - pyskl - INFO - Epoch [13][100/2506] lr: 2.460e-02, eta: 1 day, 16:54:13, time: 0.684, data_time: 0.268, memory: 10838, top1_acc: 0.8194, top5_acc: 0.9731, loss_cls: 3.2949, loss: 3.2949 +2025-05-13 18:45:06,485 - pyskl - INFO - Epoch [13][200/2506] lr: 2.460e-02, eta: 1 day, 16:53:15, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8044, top5_acc: 0.9725, loss_cls: 3.4311, loss: 3.4311 +2025-05-13 18:45:48,582 - pyskl - INFO - Epoch [13][300/2506] lr: 2.460e-02, eta: 1 day, 16:52:27, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8213, top5_acc: 0.9719, loss_cls: 3.3277, loss: 3.3277 +2025-05-13 18:46:30,474 - pyskl - INFO - Epoch [13][400/2506] lr: 2.460e-02, eta: 1 day, 16:51:37, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8163, top5_acc: 0.9750, loss_cls: 3.2053, loss: 3.2053 +2025-05-13 18:47:12,829 - pyskl - INFO - Epoch [13][500/2506] lr: 2.459e-02, eta: 1 day, 16:50:52, time: 0.424, data_time: 0.000, memory: 10838, top1_acc: 0.8075, top5_acc: 0.9700, loss_cls: 3.3245, loss: 3.3245 +2025-05-13 18:47:54,760 - pyskl - INFO - Epoch [13][600/2506] lr: 2.459e-02, eta: 1 day, 16:50:02, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.7925, top5_acc: 0.9706, loss_cls: 3.3750, loss: 3.3750 +2025-05-13 18:48:36,460 - pyskl - INFO - Epoch [13][700/2506] lr: 2.459e-02, eta: 1 day, 16:49:09, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8131, top5_acc: 0.9700, loss_cls: 3.4295, loss: 3.4295 +2025-05-13 18:49:18,389 - pyskl - INFO - Epoch [13][800/2506] lr: 2.459e-02, eta: 1 day, 16:48:19, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8169, top5_acc: 0.9688, loss_cls: 3.3403, loss: 3.3403 +2025-05-13 18:50:00,269 - pyskl - INFO - Epoch [13][900/2506] lr: 2.458e-02, eta: 1 day, 16:47:29, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8025, top5_acc: 0.9725, loss_cls: 3.4112, loss: 3.4112 +2025-05-13 18:50:42,500 - pyskl - INFO - Epoch [13][1000/2506] lr: 2.458e-02, eta: 1 day, 16:46:43, time: 0.422, data_time: 0.000, memory: 10838, top1_acc: 0.8156, top5_acc: 0.9725, loss_cls: 3.3731, loss: 3.3731 +2025-05-13 18:51:24,275 - pyskl - INFO - Epoch [13][1100/2506] lr: 2.458e-02, eta: 1 day, 16:45:51, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.7887, top5_acc: 0.9706, loss_cls: 3.3212, loss: 3.3212 +2025-05-13 18:52:05,831 - pyskl - INFO - Epoch [13][1200/2506] lr: 2.458e-02, eta: 1 day, 16:44:57, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8269, top5_acc: 0.9719, loss_cls: 3.2343, loss: 3.2343 +2025-05-13 18:52:47,580 - pyskl - INFO - Epoch [13][1300/2506] lr: 2.457e-02, eta: 1 day, 16:44:06, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8056, top5_acc: 0.9594, loss_cls: 3.3012, loss: 3.3012 +2025-05-13 18:53:27,498 - pyskl - INFO - Epoch [13][1400/2506] lr: 2.457e-02, eta: 1 day, 16:42:54, time: 0.399, data_time: 0.000, memory: 10838, top1_acc: 0.8187, top5_acc: 0.9731, loss_cls: 3.2696, loss: 3.2696 +2025-05-13 18:54:07,248 - pyskl - INFO - Epoch [13][1500/2506] lr: 2.457e-02, eta: 1 day, 16:41:41, time: 0.397, data_time: 0.000, memory: 10838, top1_acc: 0.8044, top5_acc: 0.9706, loss_cls: 3.4180, loss: 3.4180 +2025-05-13 18:54:47,874 - pyskl - INFO - Epoch [13][1600/2506] lr: 2.456e-02, eta: 1 day, 16:40:38, time: 0.406, data_time: 0.000, memory: 10838, top1_acc: 0.8194, top5_acc: 0.9756, loss_cls: 3.2494, loss: 3.2494 +2025-05-13 18:55:29,713 - pyskl - INFO - Epoch [13][1700/2506] lr: 2.456e-02, eta: 1 day, 16:39:48, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.7981, top5_acc: 0.9675, loss_cls: 3.3353, loss: 3.3353 +2025-05-13 18:56:11,559 - pyskl - INFO - Epoch [13][1800/2506] lr: 2.456e-02, eta: 1 day, 16:38:58, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8256, top5_acc: 0.9725, loss_cls: 3.2988, loss: 3.2988 +2025-05-13 18:56:53,048 - pyskl - INFO - Epoch [13][1900/2506] lr: 2.456e-02, eta: 1 day, 16:38:04, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8163, top5_acc: 0.9725, loss_cls: 3.2429, loss: 3.2429 +2025-05-13 18:57:34,981 - pyskl - INFO - Epoch [13][2000/2506] lr: 2.455e-02, eta: 1 day, 16:37:15, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8250, top5_acc: 0.9688, loss_cls: 3.2968, loss: 3.2968 +2025-05-13 18:58:16,868 - pyskl - INFO - Epoch [13][2100/2506] lr: 2.455e-02, eta: 1 day, 16:36:25, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8169, top5_acc: 0.9725, loss_cls: 3.2455, loss: 3.2455 +2025-05-13 18:58:58,058 - pyskl - INFO - Epoch [13][2200/2506] lr: 2.455e-02, eta: 1 day, 16:35:29, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8213, top5_acc: 0.9762, loss_cls: 3.3226, loss: 3.3226 +2025-05-13 18:59:39,188 - pyskl - INFO - Epoch [13][2300/2506] lr: 2.455e-02, eta: 1 day, 16:34:31, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8206, top5_acc: 0.9694, loss_cls: 3.2061, loss: 3.2061 +2025-05-13 19:00:20,833 - pyskl - INFO - Epoch [13][2400/2506] lr: 2.454e-02, eta: 1 day, 16:33:39, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8156, top5_acc: 0.9750, loss_cls: 3.2774, loss: 3.2774 +2025-05-13 19:01:02,518 - pyskl - INFO - Epoch [13][2500/2506] lr: 2.454e-02, eta: 1 day, 16:32:48, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8213, top5_acc: 0.9725, loss_cls: 3.3221, loss: 3.3221 +2025-05-13 19:01:05,702 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-05-13 19:02:19,443 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 19:02:19,540 - pyskl - INFO - +top1_acc 0.7867 +top5_acc 0.9631 +2025-05-13 19:02:19,630 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_11.pth was removed +2025-05-13 19:02:21,301 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. +2025-05-13 19:02:21,301 - pyskl - INFO - Best top1_acc is 0.7867 at 13 epoch. +2025-05-13 19:02:21,305 - pyskl - INFO - Epoch(val) [13][1031] top1_acc: 0.7867, top5_acc: 0.9631 +2025-05-13 19:03:30,649 - pyskl - INFO - Epoch [14][100/2506] lr: 2.454e-02, eta: 1 day, 16:36:18, time: 0.693, data_time: 0.274, memory: 10838, top1_acc: 0.8269, top5_acc: 0.9800, loss_cls: 3.2800, loss: 3.2800 +2025-05-13 19:04:11,887 - pyskl - INFO - Epoch [14][200/2506] lr: 2.453e-02, eta: 1 day, 16:35:21, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8287, top5_acc: 0.9712, loss_cls: 3.3076, loss: 3.3076 +2025-05-13 19:04:54,000 - pyskl - INFO - Epoch [14][300/2506] lr: 2.453e-02, eta: 1 day, 16:34:34, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8187, top5_acc: 0.9725, loss_cls: 3.3168, loss: 3.3168 +2025-05-13 19:05:36,105 - pyskl - INFO - Epoch [14][400/2506] lr: 2.453e-02, eta: 1 day, 16:33:46, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8187, top5_acc: 0.9750, loss_cls: 3.2131, loss: 3.2131 +2025-05-13 19:06:18,011 - pyskl - INFO - Epoch [14][500/2506] lr: 2.453e-02, eta: 1 day, 16:32:57, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8319, top5_acc: 0.9812, loss_cls: 3.1640, loss: 3.1640 +2025-05-13 19:07:00,100 - pyskl - INFO - Epoch [14][600/2506] lr: 2.452e-02, eta: 1 day, 16:32:09, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8144, top5_acc: 0.9694, loss_cls: 3.3306, loss: 3.3306 +2025-05-13 19:07:41,959 - pyskl - INFO - Epoch [14][700/2506] lr: 2.452e-02, eta: 1 day, 16:31:19, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8144, top5_acc: 0.9694, loss_cls: 3.3303, loss: 3.3303 +2025-05-13 19:08:23,957 - pyskl - INFO - Epoch [14][800/2506] lr: 2.452e-02, eta: 1 day, 16:30:30, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8175, top5_acc: 0.9781, loss_cls: 3.1927, loss: 3.1927 +2025-05-13 19:09:05,820 - pyskl - INFO - Epoch [14][900/2506] lr: 2.451e-02, eta: 1 day, 16:29:40, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.7956, top5_acc: 0.9625, loss_cls: 3.4092, loss: 3.4092 +2025-05-13 19:09:47,182 - pyskl - INFO - Epoch [14][1000/2506] lr: 2.451e-02, eta: 1 day, 16:28:45, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8106, top5_acc: 0.9688, loss_cls: 3.3289, loss: 3.3289 +2025-05-13 19:10:29,223 - pyskl - INFO - Epoch [14][1100/2506] lr: 2.451e-02, eta: 1 day, 16:27:58, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8113, top5_acc: 0.9706, loss_cls: 3.3359, loss: 3.3359 +2025-05-13 19:11:10,670 - pyskl - INFO - Epoch [14][1200/2506] lr: 2.451e-02, eta: 1 day, 16:27:04, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8281, top5_acc: 0.9688, loss_cls: 3.1710, loss: 3.1710 +2025-05-13 19:11:52,118 - pyskl - INFO - Epoch [14][1300/2506] lr: 2.450e-02, eta: 1 day, 16:26:10, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8044, top5_acc: 0.9688, loss_cls: 3.4677, loss: 3.4677 +2025-05-13 19:12:33,032 - pyskl - INFO - Epoch [14][1400/2506] lr: 2.450e-02, eta: 1 day, 16:25:11, time: 0.409, data_time: 0.000, memory: 10838, top1_acc: 0.8050, top5_acc: 0.9656, loss_cls: 3.4531, loss: 3.4531 +2025-05-13 19:13:14,688 - pyskl - INFO - Epoch [14][1500/2506] lr: 2.450e-02, eta: 1 day, 16:24:19, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8200, top5_acc: 0.9694, loss_cls: 3.1698, loss: 3.1698 +2025-05-13 19:13:56,253 - pyskl - INFO - Epoch [14][1600/2506] lr: 2.449e-02, eta: 1 day, 16:23:27, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8206, top5_acc: 0.9725, loss_cls: 3.3045, loss: 3.3045 +2025-05-13 19:14:38,152 - pyskl - INFO - Epoch [14][1700/2506] lr: 2.449e-02, eta: 1 day, 16:22:38, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8325, top5_acc: 0.9831, loss_cls: 3.1657, loss: 3.1657 +2025-05-13 19:15:19,881 - pyskl - INFO - Epoch [14][1800/2506] lr: 2.449e-02, eta: 1 day, 16:21:47, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8375, top5_acc: 0.9800, loss_cls: 3.2083, loss: 3.2083 +2025-05-13 19:16:01,636 - pyskl - INFO - Epoch [14][1900/2506] lr: 2.448e-02, eta: 1 day, 16:20:56, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8137, top5_acc: 0.9738, loss_cls: 3.2883, loss: 3.2883 +2025-05-13 19:16:43,483 - pyskl - INFO - Epoch [14][2000/2506] lr: 2.448e-02, eta: 1 day, 16:20:07, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8144, top5_acc: 0.9719, loss_cls: 3.2967, loss: 3.2967 +2025-05-13 19:17:25,387 - pyskl - INFO - Epoch [14][2100/2506] lr: 2.448e-02, eta: 1 day, 16:19:18, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8169, top5_acc: 0.9738, loss_cls: 3.2423, loss: 3.2423 +2025-05-13 19:18:06,522 - pyskl - INFO - Epoch [14][2200/2506] lr: 2.448e-02, eta: 1 day, 16:18:22, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8150, top5_acc: 0.9744, loss_cls: 3.2567, loss: 3.2567 +2025-05-13 19:18:48,404 - pyskl - INFO - Epoch [14][2300/2506] lr: 2.447e-02, eta: 1 day, 16:17:33, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.7981, top5_acc: 0.9750, loss_cls: 3.2426, loss: 3.2426 +2025-05-13 19:19:30,236 - pyskl - INFO - Epoch [14][2400/2506] lr: 2.447e-02, eta: 1 day, 16:16:43, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.7931, top5_acc: 0.9694, loss_cls: 3.2888, loss: 3.2888 +2025-05-13 19:20:11,018 - pyskl - INFO - Epoch [14][2500/2506] lr: 2.447e-02, eta: 1 day, 16:15:44, time: 0.408, data_time: 0.000, memory: 10838, top1_acc: 0.8263, top5_acc: 0.9694, loss_cls: 3.2755, loss: 3.2755 +2025-05-13 19:20:14,090 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-05-13 19:21:27,035 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 19:21:27,130 - pyskl - INFO - +top1_acc 0.7694 +top5_acc 0.9549 +2025-05-13 19:21:27,133 - pyskl - INFO - Epoch(val) [14][1031] top1_acc: 0.7694, top5_acc: 0.9549 +2025-05-13 19:22:37,196 - pyskl - INFO - Epoch [15][100/2506] lr: 2.446e-02, eta: 1 day, 16:19:01, time: 0.701, data_time: 0.281, memory: 10838, top1_acc: 0.8181, top5_acc: 0.9756, loss_cls: 3.2586, loss: 3.2586 +2025-05-13 19:23:18,413 - pyskl - INFO - Epoch [15][200/2506] lr: 2.446e-02, eta: 1 day, 16:18:05, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8275, top5_acc: 0.9769, loss_cls: 3.2227, loss: 3.2227 +2025-05-13 19:23:59,634 - pyskl - INFO - Epoch [15][300/2506] lr: 2.446e-02, eta: 1 day, 16:17:09, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8219, top5_acc: 0.9775, loss_cls: 3.1255, loss: 3.1255 +2025-05-13 19:24:41,510 - pyskl - INFO - Epoch [15][400/2506] lr: 2.445e-02, eta: 1 day, 16:16:19, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8419, top5_acc: 0.9794, loss_cls: 3.1007, loss: 3.1007 +2025-05-13 19:25:23,586 - pyskl - INFO - Epoch [15][500/2506] lr: 2.445e-02, eta: 1 day, 16:15:32, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8231, top5_acc: 0.9719, loss_cls: 3.2045, loss: 3.2045 +2025-05-13 19:26:05,097 - pyskl - INFO - Epoch [15][600/2506] lr: 2.445e-02, eta: 1 day, 16:14:39, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8281, top5_acc: 0.9756, loss_cls: 3.2289, loss: 3.2289 +2025-05-13 19:26:46,454 - pyskl - INFO - Epoch [15][700/2506] lr: 2.445e-02, eta: 1 day, 16:13:45, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8337, top5_acc: 0.9769, loss_cls: 3.1643, loss: 3.1643 +2025-05-13 19:27:28,487 - pyskl - INFO - Epoch [15][800/2506] lr: 2.444e-02, eta: 1 day, 16:12:57, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8169, top5_acc: 0.9694, loss_cls: 3.3020, loss: 3.3020 +2025-05-13 19:28:10,368 - pyskl - INFO - Epoch [15][900/2506] lr: 2.444e-02, eta: 1 day, 16:12:08, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8131, top5_acc: 0.9762, loss_cls: 3.2493, loss: 3.2493 +2025-05-13 19:28:52,305 - pyskl - INFO - Epoch [15][1000/2506] lr: 2.444e-02, eta: 1 day, 16:11:19, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8106, top5_acc: 0.9738, loss_cls: 3.2415, loss: 3.2415 +2025-05-13 19:29:33,264 - pyskl - INFO - Epoch [15][1100/2506] lr: 2.443e-02, eta: 1 day, 16:10:21, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8087, top5_acc: 0.9788, loss_cls: 3.3117, loss: 3.3117 +2025-05-13 19:30:14,873 - pyskl - INFO - Epoch [15][1200/2506] lr: 2.443e-02, eta: 1 day, 16:09:30, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8369, top5_acc: 0.9788, loss_cls: 3.0915, loss: 3.0915 +2025-05-13 19:30:56,397 - pyskl - INFO - Epoch [15][1300/2506] lr: 2.443e-02, eta: 1 day, 16:08:38, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8125, top5_acc: 0.9688, loss_cls: 3.3167, loss: 3.3167 +2025-05-13 19:31:37,348 - pyskl - INFO - Epoch [15][1400/2506] lr: 2.442e-02, eta: 1 day, 16:07:40, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8163, top5_acc: 0.9800, loss_cls: 3.2600, loss: 3.2600 +2025-05-13 19:32:18,905 - pyskl - INFO - Epoch [15][1500/2506] lr: 2.442e-02, eta: 1 day, 16:06:48, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8250, top5_acc: 0.9738, loss_cls: 3.1881, loss: 3.1881 +2025-05-13 19:33:01,041 - pyskl - INFO - Epoch [15][1600/2506] lr: 2.442e-02, eta: 1 day, 16:06:02, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8106, top5_acc: 0.9775, loss_cls: 3.2554, loss: 3.2554 +2025-05-13 19:33:43,005 - pyskl - INFO - Epoch [15][1700/2506] lr: 2.441e-02, eta: 1 day, 16:05:14, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8381, top5_acc: 0.9725, loss_cls: 3.0949, loss: 3.0949 +2025-05-13 19:34:25,072 - pyskl - INFO - Epoch [15][1800/2506] lr: 2.441e-02, eta: 1 day, 16:04:27, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8044, top5_acc: 0.9637, loss_cls: 3.4150, loss: 3.4150 +2025-05-13 19:35:06,869 - pyskl - INFO - Epoch [15][1900/2506] lr: 2.441e-02, eta: 1 day, 16:03:37, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8381, top5_acc: 0.9819, loss_cls: 3.2470, loss: 3.2470 +2025-05-13 19:35:47,528 - pyskl - INFO - Epoch [15][2000/2506] lr: 2.440e-02, eta: 1 day, 16:02:37, time: 0.407, data_time: 0.000, memory: 10838, top1_acc: 0.8081, top5_acc: 0.9637, loss_cls: 3.3269, loss: 3.3269 +2025-05-13 19:36:28,734 - pyskl - INFO - Epoch [15][2100/2506] lr: 2.440e-02, eta: 1 day, 16:01:42, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8169, top5_acc: 0.9681, loss_cls: 3.2800, loss: 3.2800 +2025-05-13 19:37:10,164 - pyskl - INFO - Epoch [15][2200/2506] lr: 2.440e-02, eta: 1 day, 16:00:50, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9700, loss_cls: 3.2830, loss: 3.2830 +2025-05-13 19:37:52,008 - pyskl - INFO - Epoch [15][2300/2506] lr: 2.439e-02, eta: 1 day, 16:00:01, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8144, top5_acc: 0.9744, loss_cls: 3.2905, loss: 3.2905 +2025-05-13 19:38:33,964 - pyskl - INFO - Epoch [15][2400/2506] lr: 2.439e-02, eta: 1 day, 15:59:13, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8275, top5_acc: 0.9831, loss_cls: 3.0828, loss: 3.0828 +2025-05-13 19:39:15,757 - pyskl - INFO - Epoch [15][2500/2506] lr: 2.439e-02, eta: 1 day, 15:58:24, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8125, top5_acc: 0.9812, loss_cls: 3.2802, loss: 3.2802 +2025-05-13 19:39:18,961 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-05-13 19:40:30,133 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 19:40:30,227 - pyskl - INFO - +top1_acc 0.7900 +top5_acc 0.9633 +2025-05-13 19:40:30,328 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_13.pth was removed +2025-05-13 19:40:31,973 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. +2025-05-13 19:40:31,974 - pyskl - INFO - Best top1_acc is 0.7900 at 15 epoch. +2025-05-13 19:40:31,977 - pyskl - INFO - Epoch(val) [15][1031] top1_acc: 0.7900, top5_acc: 0.9633 +2025-05-13 19:41:39,511 - pyskl - INFO - Epoch [16][100/2506] lr: 2.439e-02, eta: 1 day, 16:01:00, time: 0.675, data_time: 0.270, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9788, loss_cls: 3.1353, loss: 3.1353 +2025-05-13 19:42:19,835 - pyskl - INFO - Epoch [16][200/2506] lr: 2.438e-02, eta: 1 day, 15:59:57, time: 0.403, data_time: 0.000, memory: 10838, top1_acc: 0.8244, top5_acc: 0.9800, loss_cls: 3.2385, loss: 3.2385 +2025-05-13 19:43:01,666 - pyskl - INFO - Epoch [16][300/2506] lr: 2.438e-02, eta: 1 day, 15:59:08, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8137, top5_acc: 0.9769, loss_cls: 3.2819, loss: 3.2819 +2025-05-13 19:43:43,710 - pyskl - INFO - Epoch [16][400/2506] lr: 2.438e-02, eta: 1 day, 15:58:20, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8163, top5_acc: 0.9738, loss_cls: 3.2252, loss: 3.2252 +2025-05-13 19:44:25,574 - pyskl - INFO - Epoch [16][500/2506] lr: 2.437e-02, eta: 1 day, 15:57:31, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8187, top5_acc: 0.9706, loss_cls: 3.2246, loss: 3.2246 +2025-05-13 19:45:07,412 - pyskl - INFO - Epoch [16][600/2506] lr: 2.437e-02, eta: 1 day, 15:56:42, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8244, top5_acc: 0.9712, loss_cls: 3.2085, loss: 3.2085 +2025-05-13 19:45:48,464 - pyskl - INFO - Epoch [16][700/2506] lr: 2.437e-02, eta: 1 day, 15:55:46, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8219, top5_acc: 0.9800, loss_cls: 3.2451, loss: 3.2451 +2025-05-13 19:46:30,318 - pyskl - INFO - Epoch [16][800/2506] lr: 2.436e-02, eta: 1 day, 15:54:57, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8263, top5_acc: 0.9756, loss_cls: 3.2098, loss: 3.2098 +2025-05-13 19:47:11,762 - pyskl - INFO - Epoch [16][900/2506] lr: 2.436e-02, eta: 1 day, 15:54:05, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8263, top5_acc: 0.9812, loss_cls: 3.1439, loss: 3.1439 +2025-05-13 19:47:53,327 - pyskl - INFO - Epoch [16][1000/2506] lr: 2.436e-02, eta: 1 day, 15:53:13, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8325, top5_acc: 0.9756, loss_cls: 3.2252, loss: 3.2252 +2025-05-13 19:48:35,419 - pyskl - INFO - Epoch [16][1100/2506] lr: 2.435e-02, eta: 1 day, 15:52:27, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8287, top5_acc: 0.9731, loss_cls: 3.1662, loss: 3.1662 +2025-05-13 19:49:17,160 - pyskl - INFO - Epoch [16][1200/2506] lr: 2.435e-02, eta: 1 day, 15:51:37, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8219, top5_acc: 0.9719, loss_cls: 3.1991, loss: 3.1991 +2025-05-13 19:49:58,552 - pyskl - INFO - Epoch [16][1300/2506] lr: 2.435e-02, eta: 1 day, 15:50:44, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8200, top5_acc: 0.9725, loss_cls: 3.1934, loss: 3.1934 +2025-05-13 19:50:39,883 - pyskl - INFO - Epoch [16][1400/2506] lr: 2.434e-02, eta: 1 day, 15:49:51, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8269, top5_acc: 0.9775, loss_cls: 3.2157, loss: 3.2157 +2025-05-13 19:51:21,547 - pyskl - INFO - Epoch [16][1500/2506] lr: 2.434e-02, eta: 1 day, 15:49:00, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8169, top5_acc: 0.9794, loss_cls: 3.1875, loss: 3.1875 +2025-05-13 19:52:03,671 - pyskl - INFO - Epoch [16][1600/2506] lr: 2.434e-02, eta: 1 day, 15:48:14, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8337, top5_acc: 0.9794, loss_cls: 3.1735, loss: 3.1735 +2025-05-13 19:52:45,611 - pyskl - INFO - Epoch [16][1700/2506] lr: 2.433e-02, eta: 1 day, 15:47:26, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8387, top5_acc: 0.9769, loss_cls: 3.1590, loss: 3.1590 +2025-05-13 19:53:27,160 - pyskl - INFO - Epoch [16][1800/2506] lr: 2.433e-02, eta: 1 day, 15:46:35, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8375, top5_acc: 0.9762, loss_cls: 3.2610, loss: 3.2610 +2025-05-13 19:54:08,940 - pyskl - INFO - Epoch [16][1900/2506] lr: 2.433e-02, eta: 1 day, 15:45:46, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8037, top5_acc: 0.9706, loss_cls: 3.3021, loss: 3.3021 +2025-05-13 19:54:49,748 - pyskl - INFO - Epoch [16][2000/2506] lr: 2.432e-02, eta: 1 day, 15:44:49, time: 0.408, data_time: 0.000, memory: 10838, top1_acc: 0.8075, top5_acc: 0.9669, loss_cls: 3.3705, loss: 3.3705 +2025-05-13 19:55:31,428 - pyskl - INFO - Epoch [16][2100/2506] lr: 2.432e-02, eta: 1 day, 15:43:59, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8063, top5_acc: 0.9675, loss_cls: 3.3298, loss: 3.3298 +2025-05-13 19:56:12,599 - pyskl - INFO - Epoch [16][2200/2506] lr: 2.432e-02, eta: 1 day, 15:43:05, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8181, top5_acc: 0.9663, loss_cls: 3.2217, loss: 3.2217 +2025-05-13 19:56:54,403 - pyskl - INFO - Epoch [16][2300/2506] lr: 2.431e-02, eta: 1 day, 15:42:16, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8237, top5_acc: 0.9762, loss_cls: 3.2501, loss: 3.2501 +2025-05-13 19:57:36,261 - pyskl - INFO - Epoch [16][2400/2506] lr: 2.431e-02, eta: 1 day, 15:41:28, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9788, loss_cls: 3.1837, loss: 3.1837 +2025-05-13 19:58:18,108 - pyskl - INFO - Epoch [16][2500/2506] lr: 2.430e-02, eta: 1 day, 15:40:39, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8081, top5_acc: 0.9775, loss_cls: 3.2525, loss: 3.2525 +2025-05-13 19:58:21,553 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-05-13 19:59:34,093 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 19:59:34,188 - pyskl - INFO - +top1_acc 0.8069 +top5_acc 0.9680 +2025-05-13 19:59:34,270 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_15.pth was removed +2025-05-13 19:59:35,746 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. +2025-05-13 19:59:35,746 - pyskl - INFO - Best top1_acc is 0.8069 at 16 epoch. +2025-05-13 19:59:35,749 - pyskl - INFO - Epoch(val) [16][1031] top1_acc: 0.8069, top5_acc: 0.9680 +2025-05-13 20:00:44,445 - pyskl - INFO - Epoch [17][100/2506] lr: 2.430e-02, eta: 1 day, 15:43:11, time: 0.687, data_time: 0.267, memory: 10838, top1_acc: 0.8119, top5_acc: 0.9756, loss_cls: 3.2620, loss: 3.2620 +2025-05-13 20:01:26,281 - pyskl - INFO - Epoch [17][200/2506] lr: 2.430e-02, eta: 1 day, 15:42:22, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8406, top5_acc: 0.9812, loss_cls: 3.1529, loss: 3.1529 +2025-05-13 20:02:07,598 - pyskl - INFO - Epoch [17][300/2506] lr: 2.429e-02, eta: 1 day, 15:41:29, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8337, top5_acc: 0.9769, loss_cls: 3.1296, loss: 3.1296 +2025-05-13 20:02:48,924 - pyskl - INFO - Epoch [17][400/2506] lr: 2.429e-02, eta: 1 day, 15:40:36, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8562, top5_acc: 0.9844, loss_cls: 2.9877, loss: 2.9877 +2025-05-13 20:03:30,931 - pyskl - INFO - Epoch [17][500/2506] lr: 2.429e-02, eta: 1 day, 15:39:49, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8319, top5_acc: 0.9800, loss_cls: 3.1289, loss: 3.1289 +2025-05-13 20:04:12,677 - pyskl - INFO - Epoch [17][600/2506] lr: 2.428e-02, eta: 1 day, 15:38:59, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8275, top5_acc: 0.9806, loss_cls: 3.2667, loss: 3.2667 +2025-05-13 20:04:54,237 - pyskl - INFO - Epoch [17][700/2506] lr: 2.428e-02, eta: 1 day, 15:38:08, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8363, top5_acc: 0.9794, loss_cls: 3.1209, loss: 3.1209 +2025-05-13 20:05:35,972 - pyskl - INFO - Epoch [17][800/2506] lr: 2.428e-02, eta: 1 day, 15:37:19, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8300, top5_acc: 0.9744, loss_cls: 3.1432, loss: 3.1432 +2025-05-13 20:06:17,435 - pyskl - INFO - Epoch [17][900/2506] lr: 2.427e-02, eta: 1 day, 15:36:27, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8281, top5_acc: 0.9800, loss_cls: 3.1853, loss: 3.1853 +2025-05-13 20:06:58,909 - pyskl - INFO - Epoch [17][1000/2506] lr: 2.427e-02, eta: 1 day, 15:35:35, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9706, loss_cls: 3.2491, loss: 3.2491 +2025-05-13 20:07:40,520 - pyskl - INFO - Epoch [17][1100/2506] lr: 2.427e-02, eta: 1 day, 15:34:45, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8019, top5_acc: 0.9744, loss_cls: 3.2281, loss: 3.2281 +2025-05-13 20:08:22,130 - pyskl - INFO - Epoch [17][1200/2506] lr: 2.426e-02, eta: 1 day, 15:33:55, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8150, top5_acc: 0.9806, loss_cls: 3.1767, loss: 3.1767 +2025-05-13 20:09:03,621 - pyskl - INFO - Epoch [17][1300/2506] lr: 2.426e-02, eta: 1 day, 15:33:03, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8369, top5_acc: 0.9762, loss_cls: 3.1235, loss: 3.1235 +2025-05-13 20:09:45,283 - pyskl - INFO - Epoch [17][1400/2506] lr: 2.426e-02, eta: 1 day, 15:32:14, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8256, top5_acc: 0.9756, loss_cls: 3.1933, loss: 3.1933 +2025-05-13 20:10:27,169 - pyskl - INFO - Epoch [17][1500/2506] lr: 2.425e-02, eta: 1 day, 15:31:26, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8031, top5_acc: 0.9669, loss_cls: 3.3474, loss: 3.3474 +2025-05-13 20:11:08,601 - pyskl - INFO - Epoch [17][1600/2506] lr: 2.425e-02, eta: 1 day, 15:30:34, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8275, top5_acc: 0.9725, loss_cls: 3.2285, loss: 3.2285 +2025-05-13 20:11:50,730 - pyskl - INFO - Epoch [17][1700/2506] lr: 2.425e-02, eta: 1 day, 15:29:48, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8294, top5_acc: 0.9712, loss_cls: 3.1808, loss: 3.1808 +2025-05-13 20:12:31,787 - pyskl - INFO - Epoch [17][1800/2506] lr: 2.424e-02, eta: 1 day, 15:28:53, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8356, top5_acc: 0.9750, loss_cls: 3.1171, loss: 3.1171 +2025-05-13 20:13:13,376 - pyskl - INFO - Epoch [17][1900/2506] lr: 2.424e-02, eta: 1 day, 15:28:03, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8237, top5_acc: 0.9756, loss_cls: 3.1854, loss: 3.1854 +2025-05-13 20:13:54,341 - pyskl - INFO - Epoch [17][2000/2506] lr: 2.423e-02, eta: 1 day, 15:27:08, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8200, top5_acc: 0.9738, loss_cls: 3.2445, loss: 3.2445 +2025-05-13 20:14:34,689 - pyskl - INFO - Epoch [17][2100/2506] lr: 2.423e-02, eta: 1 day, 15:26:08, time: 0.403, data_time: 0.000, memory: 10838, top1_acc: 0.8200, top5_acc: 0.9794, loss_cls: 3.2184, loss: 3.2184 +2025-05-13 20:15:16,412 - pyskl - INFO - Epoch [17][2200/2506] lr: 2.423e-02, eta: 1 day, 15:25:19, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8169, top5_acc: 0.9738, loss_cls: 3.2134, loss: 3.2134 +2025-05-13 20:15:57,456 - pyskl - INFO - Epoch [17][2300/2506] lr: 2.422e-02, eta: 1 day, 15:24:25, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8181, top5_acc: 0.9731, loss_cls: 3.2717, loss: 3.2717 +2025-05-13 20:16:37,634 - pyskl - INFO - Epoch [17][2400/2506] lr: 2.422e-02, eta: 1 day, 15:23:24, time: 0.402, data_time: 0.000, memory: 10838, top1_acc: 0.8319, top5_acc: 0.9750, loss_cls: 3.1108, loss: 3.1108 +2025-05-13 20:17:18,936 - pyskl - INFO - Epoch [17][2500/2506] lr: 2.422e-02, eta: 1 day, 15:22:32, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8037, top5_acc: 0.9725, loss_cls: 3.2693, loss: 3.2693 +2025-05-13 20:17:22,116 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-05-13 20:18:33,540 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 20:18:33,610 - pyskl - INFO - +top1_acc 0.7779 +top5_acc 0.9643 +2025-05-13 20:18:33,612 - pyskl - INFO - Epoch(val) [17][1031] top1_acc: 0.7779, top5_acc: 0.9643 +2025-05-13 20:19:42,949 - pyskl - INFO - Epoch [18][100/2506] lr: 2.421e-02, eta: 1 day, 15:24:56, time: 0.693, data_time: 0.275, memory: 10838, top1_acc: 0.8213, top5_acc: 0.9794, loss_cls: 3.1815, loss: 3.1815 +2025-05-13 20:20:24,956 - pyskl - INFO - Epoch [18][200/2506] lr: 2.421e-02, eta: 1 day, 15:24:09, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8363, top5_acc: 0.9788, loss_cls: 3.1412, loss: 3.1412 +2025-05-13 20:21:06,464 - pyskl - INFO - Epoch [18][300/2506] lr: 2.421e-02, eta: 1 day, 15:23:18, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8194, top5_acc: 0.9694, loss_cls: 3.2568, loss: 3.2568 +2025-05-13 20:21:47,027 - pyskl - INFO - Epoch [18][400/2506] lr: 2.420e-02, eta: 1 day, 15:22:19, time: 0.406, data_time: 0.000, memory: 10838, top1_acc: 0.8294, top5_acc: 0.9788, loss_cls: 3.0967, loss: 3.0967 +2025-05-13 20:22:28,352 - pyskl - INFO - Epoch [18][500/2506] lr: 2.420e-02, eta: 1 day, 15:21:27, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8481, top5_acc: 0.9769, loss_cls: 3.0577, loss: 3.0577 +2025-05-13 20:23:09,665 - pyskl - INFO - Epoch [18][600/2506] lr: 2.419e-02, eta: 1 day, 15:20:35, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8419, top5_acc: 0.9788, loss_cls: 3.1476, loss: 3.1476 +2025-05-13 20:23:51,483 - pyskl - INFO - Epoch [18][700/2506] lr: 2.419e-02, eta: 1 day, 15:19:46, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8256, top5_acc: 0.9794, loss_cls: 3.1832, loss: 3.1832 +2025-05-13 20:24:33,576 - pyskl - INFO - Epoch [18][800/2506] lr: 2.419e-02, eta: 1 day, 15:19:00, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8394, top5_acc: 0.9769, loss_cls: 3.1004, loss: 3.1004 +2025-05-13 20:25:15,681 - pyskl - INFO - Epoch [18][900/2506] lr: 2.418e-02, eta: 1 day, 15:18:14, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8219, top5_acc: 0.9731, loss_cls: 3.2408, loss: 3.2408 +2025-05-13 20:25:57,375 - pyskl - INFO - Epoch [18][1000/2506] lr: 2.418e-02, eta: 1 day, 15:17:25, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8237, top5_acc: 0.9800, loss_cls: 3.1150, loss: 3.1150 +2025-05-13 20:26:38,369 - pyskl - INFO - Epoch [18][1100/2506] lr: 2.418e-02, eta: 1 day, 15:16:30, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8394, top5_acc: 0.9719, loss_cls: 3.1109, loss: 3.1109 +2025-05-13 20:27:19,804 - pyskl - INFO - Epoch [18][1200/2506] lr: 2.417e-02, eta: 1 day, 15:15:39, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8325, top5_acc: 0.9800, loss_cls: 3.1030, loss: 3.1030 +2025-05-13 20:28:01,372 - pyskl - INFO - Epoch [18][1300/2506] lr: 2.417e-02, eta: 1 day, 15:14:49, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8169, top5_acc: 0.9762, loss_cls: 3.1889, loss: 3.1889 +2025-05-13 20:28:43,317 - pyskl - INFO - Epoch [18][1400/2506] lr: 2.416e-02, eta: 1 day, 15:14:02, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8125, top5_acc: 0.9750, loss_cls: 3.2142, loss: 3.2142 +2025-05-13 20:29:24,524 - pyskl - INFO - Epoch [18][1500/2506] lr: 2.416e-02, eta: 1 day, 15:13:09, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8275, top5_acc: 0.9781, loss_cls: 3.1545, loss: 3.1545 +2025-05-13 20:30:06,547 - pyskl - INFO - Epoch [18][1600/2506] lr: 2.416e-02, eta: 1 day, 15:12:23, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8450, top5_acc: 0.9744, loss_cls: 3.1265, loss: 3.1265 +2025-05-13 20:30:48,476 - pyskl - INFO - Epoch [18][1700/2506] lr: 2.415e-02, eta: 1 day, 15:11:36, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8438, top5_acc: 0.9844, loss_cls: 3.1251, loss: 3.1251 +2025-05-13 20:31:29,807 - pyskl - INFO - Epoch [18][1800/2506] lr: 2.415e-02, eta: 1 day, 15:10:44, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8113, top5_acc: 0.9788, loss_cls: 3.2751, loss: 3.2751 +2025-05-13 20:32:11,582 - pyskl - INFO - Epoch [18][1900/2506] lr: 2.415e-02, eta: 1 day, 15:09:56, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8375, top5_acc: 0.9775, loss_cls: 3.1025, loss: 3.1025 +2025-05-13 20:32:53,171 - pyskl - INFO - Epoch [18][2000/2506] lr: 2.414e-02, eta: 1 day, 15:09:06, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8169, top5_acc: 0.9812, loss_cls: 3.2361, loss: 3.2361 +2025-05-13 20:33:34,923 - pyskl - INFO - Epoch [18][2100/2506] lr: 2.414e-02, eta: 1 day, 15:08:17, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8125, top5_acc: 0.9769, loss_cls: 3.2806, loss: 3.2806 +2025-05-13 20:34:16,852 - pyskl - INFO - Epoch [18][2200/2506] lr: 2.413e-02, eta: 1 day, 15:07:30, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8181, top5_acc: 0.9700, loss_cls: 3.1986, loss: 3.1986 +2025-05-13 20:34:57,971 - pyskl - INFO - Epoch [18][2300/2506] lr: 2.413e-02, eta: 1 day, 15:06:37, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9781, loss_cls: 3.1083, loss: 3.1083 +2025-05-13 20:35:39,902 - pyskl - INFO - Epoch [18][2400/2506] lr: 2.413e-02, eta: 1 day, 15:05:50, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8250, top5_acc: 0.9775, loss_cls: 3.2210, loss: 3.2210 +2025-05-13 20:36:21,676 - pyskl - INFO - Epoch [18][2500/2506] lr: 2.412e-02, eta: 1 day, 15:05:02, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8488, top5_acc: 0.9794, loss_cls: 3.0699, loss: 3.0699 +2025-05-13 20:36:24,859 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-05-13 20:37:36,003 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 20:37:36,099 - pyskl - INFO - +top1_acc 0.8162 +top5_acc 0.9688 +2025-05-13 20:37:36,176 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_16.pth was removed +2025-05-13 20:37:38,123 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-05-13 20:37:38,123 - pyskl - INFO - Best top1_acc is 0.8162 at 18 epoch. +2025-05-13 20:37:38,128 - pyskl - INFO - Epoch(val) [18][1031] top1_acc: 0.8162, top5_acc: 0.9688 +2025-05-13 20:38:47,196 - pyskl - INFO - Epoch [19][100/2506] lr: 2.412e-02, eta: 1 day, 15:07:13, time: 0.691, data_time: 0.280, memory: 10838, top1_acc: 0.8244, top5_acc: 0.9775, loss_cls: 3.2384, loss: 3.2384 +2025-05-13 20:39:28,339 - pyskl - INFO - Epoch [19][200/2506] lr: 2.411e-02, eta: 1 day, 15:06:19, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8331, top5_acc: 0.9788, loss_cls: 3.1463, loss: 3.1463 +2025-05-13 20:40:09,140 - pyskl - INFO - Epoch [19][300/2506] lr: 2.411e-02, eta: 1 day, 15:05:24, time: 0.408, data_time: 0.000, memory: 10838, top1_acc: 0.8325, top5_acc: 0.9756, loss_cls: 3.1313, loss: 3.1313 +2025-05-13 20:40:50,747 - pyskl - INFO - Epoch [19][400/2506] lr: 2.411e-02, eta: 1 day, 15:04:34, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8219, top5_acc: 0.9756, loss_cls: 3.1427, loss: 3.1427 +2025-05-13 20:41:32,580 - pyskl - INFO - Epoch [19][500/2506] lr: 2.410e-02, eta: 1 day, 15:03:46, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8294, top5_acc: 0.9781, loss_cls: 3.1199, loss: 3.1199 +2025-05-13 20:42:14,258 - pyskl - INFO - Epoch [19][600/2506] lr: 2.410e-02, eta: 1 day, 15:02:57, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8419, top5_acc: 0.9788, loss_cls: 3.1234, loss: 3.1234 +2025-05-13 20:42:56,253 - pyskl - INFO - Epoch [19][700/2506] lr: 2.410e-02, eta: 1 day, 15:02:10, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8337, top5_acc: 0.9769, loss_cls: 3.0838, loss: 3.0838 +2025-05-13 20:43:38,778 - pyskl - INFO - Epoch [19][800/2506] lr: 2.409e-02, eta: 1 day, 15:01:27, time: 0.425, data_time: 0.000, memory: 10838, top1_acc: 0.8206, top5_acc: 0.9700, loss_cls: 3.1913, loss: 3.1913 +2025-05-13 20:44:20,685 - pyskl - INFO - Epoch [19][900/2506] lr: 2.409e-02, eta: 1 day, 15:00:40, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8319, top5_acc: 0.9812, loss_cls: 3.0034, loss: 3.0034 +2025-05-13 20:45:02,465 - pyskl - INFO - Epoch [19][1000/2506] lr: 2.408e-02, eta: 1 day, 14:59:52, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8413, top5_acc: 0.9744, loss_cls: 3.0371, loss: 3.0371 +2025-05-13 20:45:43,768 - pyskl - INFO - Epoch [19][1100/2506] lr: 2.408e-02, eta: 1 day, 14:59:00, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8369, top5_acc: 0.9769, loss_cls: 3.1317, loss: 3.1317 +2025-05-13 20:46:24,394 - pyskl - INFO - Epoch [19][1200/2506] lr: 2.408e-02, eta: 1 day, 14:58:04, time: 0.406, data_time: 0.000, memory: 10838, top1_acc: 0.8406, top5_acc: 0.9762, loss_cls: 3.0842, loss: 3.0842 +2025-05-13 20:47:05,921 - pyskl - INFO - Epoch [19][1300/2506] lr: 2.407e-02, eta: 1 day, 14:57:14, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8438, top5_acc: 0.9806, loss_cls: 3.1381, loss: 3.1381 +2025-05-13 20:47:46,892 - pyskl - INFO - Epoch [19][1400/2506] lr: 2.407e-02, eta: 1 day, 14:56:20, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8300, top5_acc: 0.9756, loss_cls: 3.1149, loss: 3.1149 +2025-05-13 20:48:28,525 - pyskl - INFO - Epoch [19][1500/2506] lr: 2.406e-02, eta: 1 day, 14:55:31, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8206, top5_acc: 0.9775, loss_cls: 3.1944, loss: 3.1944 +2025-05-13 20:49:11,209 - pyskl - INFO - Epoch [19][1600/2506] lr: 2.406e-02, eta: 1 day, 14:54:49, time: 0.427, data_time: 0.000, memory: 10838, top1_acc: 0.8400, top5_acc: 0.9762, loss_cls: 3.1982, loss: 3.1982 +2025-05-13 20:49:53,031 - pyskl - INFO - Epoch [19][1700/2506] lr: 2.406e-02, eta: 1 day, 14:54:02, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8300, top5_acc: 0.9738, loss_cls: 3.0628, loss: 3.0628 +2025-05-13 20:50:34,561 - pyskl - INFO - Epoch [19][1800/2506] lr: 2.405e-02, eta: 1 day, 14:53:12, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8231, top5_acc: 0.9769, loss_cls: 3.1389, loss: 3.1389 +2025-05-13 20:51:16,540 - pyskl - INFO - Epoch [19][1900/2506] lr: 2.405e-02, eta: 1 day, 14:52:25, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8344, top5_acc: 0.9800, loss_cls: 3.1925, loss: 3.1925 +2025-05-13 20:51:57,689 - pyskl - INFO - Epoch [19][2000/2506] lr: 2.404e-02, eta: 1 day, 14:51:33, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8244, top5_acc: 0.9750, loss_cls: 3.1078, loss: 3.1078 +2025-05-13 20:52:39,408 - pyskl - INFO - Epoch [19][2100/2506] lr: 2.404e-02, eta: 1 day, 14:50:45, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8306, top5_acc: 0.9769, loss_cls: 3.1726, loss: 3.1726 +2025-05-13 20:53:21,293 - pyskl - INFO - Epoch [19][2200/2506] lr: 2.404e-02, eta: 1 day, 14:49:58, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8250, top5_acc: 0.9725, loss_cls: 3.1566, loss: 3.1566 +2025-05-13 20:54:02,932 - pyskl - INFO - Epoch [19][2300/2506] lr: 2.403e-02, eta: 1 day, 14:49:09, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8344, top5_acc: 0.9744, loss_cls: 3.1328, loss: 3.1328 +2025-05-13 20:54:44,717 - pyskl - INFO - Epoch [19][2400/2506] lr: 2.403e-02, eta: 1 day, 14:48:21, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8337, top5_acc: 0.9794, loss_cls: 3.0954, loss: 3.0954 +2025-05-13 20:55:26,145 - pyskl - INFO - Epoch [19][2500/2506] lr: 2.402e-02, eta: 1 day, 14:47:31, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8250, top5_acc: 0.9781, loss_cls: 3.1964, loss: 3.1964 +2025-05-13 20:55:29,422 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-05-13 20:56:41,903 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 20:56:41,997 - pyskl - INFO - +top1_acc 0.8148 +top5_acc 0.9707 +2025-05-13 20:56:42,000 - pyskl - INFO - Epoch(val) [19][1031] top1_acc: 0.8148, top5_acc: 0.9707 +2025-05-13 20:57:50,091 - pyskl - INFO - Epoch [20][100/2506] lr: 2.402e-02, eta: 1 day, 14:49:24, time: 0.681, data_time: 0.264, memory: 10838, top1_acc: 0.8375, top5_acc: 0.9731, loss_cls: 3.1081, loss: 3.1081 +2025-05-13 20:58:31,909 - pyskl - INFO - Epoch [20][200/2506] lr: 2.402e-02, eta: 1 day, 14:48:36, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8306, top5_acc: 0.9744, loss_cls: 3.1914, loss: 3.1914 +2025-05-13 20:59:13,788 - pyskl - INFO - Epoch [20][300/2506] lr: 2.401e-02, eta: 1 day, 14:47:48, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8469, top5_acc: 0.9719, loss_cls: 3.1362, loss: 3.1362 +2025-05-13 20:59:55,826 - pyskl - INFO - Epoch [20][400/2506] lr: 2.401e-02, eta: 1 day, 14:47:02, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8213, top5_acc: 0.9869, loss_cls: 3.1512, loss: 3.1512 +2025-05-13 21:00:37,586 - pyskl - INFO - Epoch [20][500/2506] lr: 2.400e-02, eta: 1 day, 14:46:14, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8488, top5_acc: 0.9738, loss_cls: 3.0569, loss: 3.0569 +2025-05-13 21:01:18,365 - pyskl - INFO - Epoch [20][600/2506] lr: 2.400e-02, eta: 1 day, 14:45:19, time: 0.408, data_time: 0.000, memory: 10838, top1_acc: 0.8606, top5_acc: 0.9806, loss_cls: 2.9731, loss: 2.9731 +2025-05-13 21:01:59,581 - pyskl - INFO - Epoch [20][700/2506] lr: 2.399e-02, eta: 1 day, 14:44:27, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8400, top5_acc: 0.9794, loss_cls: 3.1277, loss: 3.1277 +2025-05-13 21:02:41,444 - pyskl - INFO - Epoch [20][800/2506] lr: 2.399e-02, eta: 1 day, 14:43:40, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8231, top5_acc: 0.9744, loss_cls: 3.1230, loss: 3.1230 +2025-05-13 21:03:23,341 - pyskl - INFO - Epoch [20][900/2506] lr: 2.399e-02, eta: 1 day, 14:42:53, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8281, top5_acc: 0.9788, loss_cls: 3.1158, loss: 3.1158 +2025-05-13 21:04:05,213 - pyskl - INFO - Epoch [20][1000/2506] lr: 2.398e-02, eta: 1 day, 14:42:05, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8163, top5_acc: 0.9775, loss_cls: 3.2334, loss: 3.2334 +2025-05-13 21:04:47,107 - pyskl - INFO - Epoch [20][1100/2506] lr: 2.398e-02, eta: 1 day, 14:41:18, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8256, top5_acc: 0.9750, loss_cls: 3.1150, loss: 3.1150 +2025-05-13 21:05:28,414 - pyskl - INFO - Epoch [20][1200/2506] lr: 2.397e-02, eta: 1 day, 14:40:27, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8381, top5_acc: 0.9819, loss_cls: 3.0163, loss: 3.0163 +2025-05-13 21:06:09,515 - pyskl - INFO - Epoch [20][1300/2506] lr: 2.397e-02, eta: 1 day, 14:39:35, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8300, top5_acc: 0.9738, loss_cls: 3.1488, loss: 3.1488 +2025-05-13 21:06:51,424 - pyskl - INFO - Epoch [20][1400/2506] lr: 2.397e-02, eta: 1 day, 14:38:48, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8263, top5_acc: 0.9781, loss_cls: 3.0624, loss: 3.0624 +2025-05-13 21:07:32,959 - pyskl - INFO - Epoch [20][1500/2506] lr: 2.396e-02, eta: 1 day, 14:37:59, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8394, top5_acc: 0.9781, loss_cls: 3.0376, loss: 3.0376 +2025-05-13 21:08:14,741 - pyskl - INFO - Epoch [20][1600/2506] lr: 2.396e-02, eta: 1 day, 14:37:11, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8450, top5_acc: 0.9781, loss_cls: 3.1043, loss: 3.1043 +2025-05-13 21:08:56,499 - pyskl - INFO - Epoch [20][1700/2506] lr: 2.395e-02, eta: 1 day, 14:36:23, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8319, top5_acc: 0.9712, loss_cls: 3.2109, loss: 3.2109 +2025-05-13 21:09:38,032 - pyskl - INFO - Epoch [20][1800/2506] lr: 2.395e-02, eta: 1 day, 14:35:34, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8156, top5_acc: 0.9700, loss_cls: 3.1937, loss: 3.1937 +2025-05-13 21:10:19,464 - pyskl - INFO - Epoch [20][1900/2506] lr: 2.394e-02, eta: 1 day, 14:34:44, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8325, top5_acc: 0.9744, loss_cls: 3.1792, loss: 3.1792 +2025-05-13 21:11:01,408 - pyskl - INFO - Epoch [20][2000/2506] lr: 2.394e-02, eta: 1 day, 14:33:57, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8231, top5_acc: 0.9775, loss_cls: 3.1404, loss: 3.1404 +2025-05-13 21:11:42,359 - pyskl - INFO - Epoch [20][2100/2506] lr: 2.394e-02, eta: 1 day, 14:33:04, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8306, top5_acc: 0.9781, loss_cls: 3.0898, loss: 3.0898 +2025-05-13 21:12:23,981 - pyskl - INFO - Epoch [20][2200/2506] lr: 2.393e-02, eta: 1 day, 14:32:16, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8400, top5_acc: 0.9769, loss_cls: 3.1040, loss: 3.1040 +2025-05-13 21:13:05,898 - pyskl - INFO - Epoch [20][2300/2506] lr: 2.393e-02, eta: 1 day, 14:31:29, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8438, top5_acc: 0.9819, loss_cls: 3.0626, loss: 3.0626 +2025-05-13 21:13:47,484 - pyskl - INFO - Epoch [20][2400/2506] lr: 2.392e-02, eta: 1 day, 14:30:40, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8256, top5_acc: 0.9806, loss_cls: 3.1199, loss: 3.1199 +2025-05-13 21:14:28,620 - pyskl - INFO - Epoch [20][2500/2506] lr: 2.392e-02, eta: 1 day, 14:29:48, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8350, top5_acc: 0.9756, loss_cls: 3.0773, loss: 3.0773 +2025-05-13 21:14:31,815 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-05-13 21:15:43,990 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 21:15:44,084 - pyskl - INFO - +top1_acc 0.8035 +top5_acc 0.9697 +2025-05-13 21:15:44,087 - pyskl - INFO - Epoch(val) [20][1031] top1_acc: 0.8035, top5_acc: 0.9697 +2025-05-13 21:16:52,960 - pyskl - INFO - Epoch [21][100/2506] lr: 2.392e-02, eta: 1 day, 14:31:38, time: 0.689, data_time: 0.276, memory: 10838, top1_acc: 0.8475, top5_acc: 0.9812, loss_cls: 2.9452, loss: 2.9452 +2025-05-13 21:17:33,841 - pyskl - INFO - Epoch [21][200/2506] lr: 2.391e-02, eta: 1 day, 14:30:44, time: 0.409, data_time: 0.000, memory: 10838, top1_acc: 0.8531, top5_acc: 0.9738, loss_cls: 3.1133, loss: 3.1133 +2025-05-13 21:18:15,602 - pyskl - INFO - Epoch [21][300/2506] lr: 2.391e-02, eta: 1 day, 14:29:56, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8525, top5_acc: 0.9731, loss_cls: 3.1242, loss: 3.1242 +2025-05-13 21:18:57,308 - pyskl - INFO - Epoch [21][400/2506] lr: 2.390e-02, eta: 1 day, 14:29:08, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8294, top5_acc: 0.9775, loss_cls: 3.1393, loss: 3.1393 +2025-05-13 21:19:38,025 - pyskl - INFO - Epoch [21][500/2506] lr: 2.390e-02, eta: 1 day, 14:28:13, time: 0.407, data_time: 0.000, memory: 10838, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 3.0465, loss: 3.0465 +2025-05-13 21:20:19,462 - pyskl - INFO - Epoch [21][600/2506] lr: 2.389e-02, eta: 1 day, 14:27:23, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8538, top5_acc: 0.9744, loss_cls: 2.9577, loss: 2.9577 +2025-05-13 21:21:00,881 - pyskl - INFO - Epoch [21][700/2506] lr: 2.389e-02, eta: 1 day, 14:26:33, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8256, top5_acc: 0.9712, loss_cls: 3.1159, loss: 3.1159 +2025-05-13 21:21:42,620 - pyskl - INFO - Epoch [21][800/2506] lr: 2.389e-02, eta: 1 day, 14:25:45, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8231, top5_acc: 0.9712, loss_cls: 3.0511, loss: 3.0511 +2025-05-13 21:22:24,497 - pyskl - INFO - Epoch [21][900/2506] lr: 2.388e-02, eta: 1 day, 14:24:58, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 3.0250, loss: 3.0250 +2025-05-13 21:23:06,097 - pyskl - INFO - Epoch [21][1000/2506] lr: 2.388e-02, eta: 1 day, 14:24:10, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9750, loss_cls: 3.1015, loss: 3.1015 +2025-05-13 21:23:47,672 - pyskl - INFO - Epoch [21][1100/2506] lr: 2.387e-02, eta: 1 day, 14:23:21, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9831, loss_cls: 3.0781, loss: 3.0781 +2025-05-13 21:24:29,748 - pyskl - INFO - Epoch [21][1200/2506] lr: 2.387e-02, eta: 1 day, 14:22:35, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8413, top5_acc: 0.9856, loss_cls: 3.1408, loss: 3.1408 +2025-05-13 21:25:11,445 - pyskl - INFO - Epoch [21][1300/2506] lr: 2.386e-02, eta: 1 day, 14:21:47, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8481, top5_acc: 0.9838, loss_cls: 3.0058, loss: 3.0058 +2025-05-13 21:25:53,301 - pyskl - INFO - Epoch [21][1400/2506] lr: 2.386e-02, eta: 1 day, 14:21:00, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8350, top5_acc: 0.9775, loss_cls: 3.1108, loss: 3.1108 +2025-05-13 21:26:35,301 - pyskl - INFO - Epoch [21][1500/2506] lr: 2.385e-02, eta: 1 day, 14:20:14, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8331, top5_acc: 0.9750, loss_cls: 3.1727, loss: 3.1727 +2025-05-13 21:27:17,202 - pyskl - INFO - Epoch [21][1600/2506] lr: 2.385e-02, eta: 1 day, 14:19:27, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8475, top5_acc: 0.9719, loss_cls: 3.1847, loss: 3.1847 +2025-05-13 21:27:58,476 - pyskl - INFO - Epoch [21][1700/2506] lr: 2.385e-02, eta: 1 day, 14:18:37, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8438, top5_acc: 0.9762, loss_cls: 3.0855, loss: 3.0855 +2025-05-13 21:28:39,308 - pyskl - INFO - Epoch [21][1800/2506] lr: 2.384e-02, eta: 1 day, 14:17:43, time: 0.408, data_time: 0.000, memory: 10838, top1_acc: 0.8337, top5_acc: 0.9769, loss_cls: 3.1166, loss: 3.1166 +2025-05-13 21:29:20,323 - pyskl - INFO - Epoch [21][1900/2506] lr: 2.384e-02, eta: 1 day, 14:16:51, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8419, top5_acc: 0.9775, loss_cls: 3.1222, loss: 3.1222 +2025-05-13 21:30:01,997 - pyskl - INFO - Epoch [21][2000/2506] lr: 2.383e-02, eta: 1 day, 14:16:03, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8263, top5_acc: 0.9712, loss_cls: 3.0818, loss: 3.0818 +2025-05-13 21:30:43,569 - pyskl - INFO - Epoch [21][2100/2506] lr: 2.383e-02, eta: 1 day, 14:15:15, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8244, top5_acc: 0.9750, loss_cls: 3.0758, loss: 3.0758 +2025-05-13 21:31:24,513 - pyskl - INFO - Epoch [21][2200/2506] lr: 2.382e-02, eta: 1 day, 14:14:22, time: 0.409, data_time: 0.000, memory: 10838, top1_acc: 0.8269, top5_acc: 0.9756, loss_cls: 3.1511, loss: 3.1511 +2025-05-13 21:32:05,862 - pyskl - INFO - Epoch [21][2300/2506] lr: 2.382e-02, eta: 1 day, 14:13:32, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8206, top5_acc: 0.9762, loss_cls: 3.2339, loss: 3.2339 +2025-05-13 21:32:47,634 - pyskl - INFO - Epoch [21][2400/2506] lr: 2.382e-02, eta: 1 day, 14:12:45, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8294, top5_acc: 0.9775, loss_cls: 3.1451, loss: 3.1451 +2025-05-13 21:33:29,292 - pyskl - INFO - Epoch [21][2500/2506] lr: 2.381e-02, eta: 1 day, 14:11:57, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 2.9064, loss: 2.9064 +2025-05-13 21:33:32,726 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-05-13 21:34:45,055 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 21:34:45,150 - pyskl - INFO - +top1_acc 0.7969 +top5_acc 0.9641 +2025-05-13 21:34:45,153 - pyskl - INFO - Epoch(val) [21][1031] top1_acc: 0.7969, top5_acc: 0.9641 +2025-05-13 21:35:52,433 - pyskl - INFO - Epoch [22][100/2506] lr: 2.381e-02, eta: 1 day, 14:13:28, time: 0.673, data_time: 0.255, memory: 10838, top1_acc: 0.8287, top5_acc: 0.9750, loss_cls: 3.1017, loss: 3.1017 +2025-05-13 21:36:33,807 - pyskl - INFO - Epoch [22][200/2506] lr: 2.380e-02, eta: 1 day, 14:12:38, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8413, top5_acc: 0.9800, loss_cls: 3.0605, loss: 3.0605 +2025-05-13 21:37:15,530 - pyskl - INFO - Epoch [22][300/2506] lr: 2.380e-02, eta: 1 day, 14:11:50, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8481, top5_acc: 0.9806, loss_cls: 3.0370, loss: 3.0370 +2025-05-13 21:37:57,091 - pyskl - INFO - Epoch [22][400/2506] lr: 2.379e-02, eta: 1 day, 14:11:01, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 2.9970, loss: 2.9970 +2025-05-13 21:38:38,584 - pyskl - INFO - Epoch [22][500/2506] lr: 2.379e-02, eta: 1 day, 14:10:12, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8350, top5_acc: 0.9756, loss_cls: 3.1424, loss: 3.1424 +2025-05-13 21:39:20,313 - pyskl - INFO - Epoch [22][600/2506] lr: 2.378e-02, eta: 1 day, 14:09:25, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8263, top5_acc: 0.9781, loss_cls: 3.1281, loss: 3.1281 +2025-05-13 21:40:01,372 - pyskl - INFO - Epoch [22][700/2506] lr: 2.378e-02, eta: 1 day, 14:08:33, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8488, top5_acc: 0.9731, loss_cls: 3.0308, loss: 3.0308 +2025-05-13 21:40:42,052 - pyskl - INFO - Epoch [22][800/2506] lr: 2.377e-02, eta: 1 day, 14:07:39, time: 0.407, data_time: 0.000, memory: 10838, top1_acc: 0.8444, top5_acc: 0.9762, loss_cls: 3.0451, loss: 3.0451 +2025-05-13 21:41:23,308 - pyskl - INFO - Epoch [22][900/2506] lr: 2.377e-02, eta: 1 day, 14:06:48, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8237, top5_acc: 0.9775, loss_cls: 3.1641, loss: 3.1641 +2025-05-13 21:42:04,129 - pyskl - INFO - Epoch [22][1000/2506] lr: 2.377e-02, eta: 1 day, 14:05:55, time: 0.408, data_time: 0.000, memory: 10838, top1_acc: 0.8387, top5_acc: 0.9775, loss_cls: 3.0884, loss: 3.0884 +2025-05-13 21:42:45,213 - pyskl - INFO - Epoch [22][1100/2506] lr: 2.376e-02, eta: 1 day, 14:05:04, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8356, top5_acc: 0.9756, loss_cls: 3.0251, loss: 3.0251 +2025-05-13 21:43:27,057 - pyskl - INFO - Epoch [22][1200/2506] lr: 2.376e-02, eta: 1 day, 14:04:17, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8306, top5_acc: 0.9769, loss_cls: 3.1092, loss: 3.1092 +2025-05-13 21:44:09,032 - pyskl - INFO - Epoch [22][1300/2506] lr: 2.375e-02, eta: 1 day, 14:03:31, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8406, top5_acc: 0.9750, loss_cls: 2.9974, loss: 2.9974 +2025-05-13 21:44:51,008 - pyskl - INFO - Epoch [22][1400/2506] lr: 2.375e-02, eta: 1 day, 14:02:45, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8431, top5_acc: 0.9794, loss_cls: 3.0278, loss: 3.0278 +2025-05-13 21:45:32,298 - pyskl - INFO - Epoch [22][1500/2506] lr: 2.374e-02, eta: 1 day, 14:01:55, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8169, top5_acc: 0.9725, loss_cls: 3.1215, loss: 3.1215 +2025-05-13 21:46:13,708 - pyskl - INFO - Epoch [22][1600/2506] lr: 2.374e-02, eta: 1 day, 14:01:06, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8419, top5_acc: 0.9831, loss_cls: 3.0701, loss: 3.0701 +2025-05-13 21:46:54,648 - pyskl - INFO - Epoch [22][1700/2506] lr: 2.373e-02, eta: 1 day, 14:00:14, time: 0.409, data_time: 0.000, memory: 10838, top1_acc: 0.8387, top5_acc: 0.9781, loss_cls: 3.1505, loss: 3.1505 +2025-05-13 21:47:35,912 - pyskl - INFO - Epoch [22][1800/2506] lr: 2.373e-02, eta: 1 day, 13:59:24, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8444, top5_acc: 0.9744, loss_cls: 3.1079, loss: 3.1079 +2025-05-13 21:48:17,632 - pyskl - INFO - Epoch [22][1900/2506] lr: 2.372e-02, eta: 1 day, 13:58:36, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8175, top5_acc: 0.9794, loss_cls: 3.1215, loss: 3.1215 +2025-05-13 21:48:58,178 - pyskl - INFO - Epoch [22][2000/2506] lr: 2.372e-02, eta: 1 day, 13:57:42, time: 0.405, data_time: 0.000, memory: 10838, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 3.0789, loss: 3.0789 +2025-05-13 21:49:38,808 - pyskl - INFO - Epoch [22][2100/2506] lr: 2.372e-02, eta: 1 day, 13:56:48, time: 0.406, data_time: 0.000, memory: 10838, top1_acc: 0.8444, top5_acc: 0.9738, loss_cls: 3.0940, loss: 3.0940 +2025-05-13 21:50:19,910 - pyskl - INFO - Epoch [22][2200/2506] lr: 2.371e-02, eta: 1 day, 13:55:57, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8462, top5_acc: 0.9762, loss_cls: 3.0809, loss: 3.0809 +2025-05-13 21:51:01,077 - pyskl - INFO - Epoch [22][2300/2506] lr: 2.371e-02, eta: 1 day, 13:55:07, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8506, top5_acc: 0.9819, loss_cls: 3.0501, loss: 3.0501 +2025-05-13 21:51:42,024 - pyskl - INFO - Epoch [22][2400/2506] lr: 2.370e-02, eta: 1 day, 13:54:15, time: 0.409, data_time: 0.000, memory: 10838, top1_acc: 0.8281, top5_acc: 0.9831, loss_cls: 3.0841, loss: 3.0841 +2025-05-13 21:52:23,540 - pyskl - INFO - Epoch [22][2500/2506] lr: 2.370e-02, eta: 1 day, 13:53:27, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8462, top5_acc: 0.9731, loss_cls: 3.0648, loss: 3.0648 +2025-05-13 21:52:27,006 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-05-13 21:53:39,610 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 21:53:39,677 - pyskl - INFO - +top1_acc 0.8115 +top5_acc 0.9692 +2025-05-13 21:53:39,680 - pyskl - INFO - Epoch(val) [22][1031] top1_acc: 0.8115, top5_acc: 0.9692 +2025-05-13 21:54:46,348 - pyskl - INFO - Epoch [23][100/2506] lr: 2.369e-02, eta: 1 day, 13:54:47, time: 0.667, data_time: 0.260, memory: 10838, top1_acc: 0.8481, top5_acc: 0.9800, loss_cls: 3.0631, loss: 3.0631 +2025-05-13 21:55:26,867 - pyskl - INFO - Epoch [23][200/2506] lr: 2.369e-02, eta: 1 day, 13:53:52, time: 0.405, data_time: 0.000, memory: 10838, top1_acc: 0.8588, top5_acc: 0.9825, loss_cls: 2.9637, loss: 2.9637 +2025-05-13 21:56:07,555 - pyskl - INFO - Epoch [23][300/2506] lr: 2.368e-02, eta: 1 day, 13:52:59, time: 0.407, data_time: 0.000, memory: 10838, top1_acc: 0.8644, top5_acc: 0.9800, loss_cls: 3.0389, loss: 3.0389 +2025-05-13 21:56:48,888 - pyskl - INFO - Epoch [23][400/2506] lr: 2.368e-02, eta: 1 day, 13:52:09, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8375, top5_acc: 0.9825, loss_cls: 3.0808, loss: 3.0808 +2025-05-13 21:57:30,721 - pyskl - INFO - Epoch [23][500/2506] lr: 2.367e-02, eta: 1 day, 13:51:23, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8444, top5_acc: 0.9806, loss_cls: 3.0163, loss: 3.0163 +2025-05-13 21:58:12,780 - pyskl - INFO - Epoch [23][600/2506] lr: 2.367e-02, eta: 1 day, 13:50:37, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9775, loss_cls: 3.1143, loss: 3.1143 +2025-05-13 21:58:54,620 - pyskl - INFO - Epoch [23][700/2506] lr: 2.366e-02, eta: 1 day, 13:49:51, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8375, top5_acc: 0.9844, loss_cls: 2.9947, loss: 2.9947 +2025-05-13 21:59:36,618 - pyskl - INFO - Epoch [23][800/2506] lr: 2.366e-02, eta: 1 day, 13:49:05, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8406, top5_acc: 0.9800, loss_cls: 3.1087, loss: 3.1087 +2025-05-13 22:00:18,213 - pyskl - INFO - Epoch [23][900/2506] lr: 2.365e-02, eta: 1 day, 13:48:17, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8488, top5_acc: 0.9788, loss_cls: 3.0174, loss: 3.0174 +2025-05-13 22:00:59,901 - pyskl - INFO - Epoch [23][1000/2506] lr: 2.365e-02, eta: 1 day, 13:47:29, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8275, top5_acc: 0.9781, loss_cls: 3.0580, loss: 3.0580 +2025-05-13 22:01:41,519 - pyskl - INFO - Epoch [23][1100/2506] lr: 2.364e-02, eta: 1 day, 13:46:42, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8475, top5_acc: 0.9806, loss_cls: 3.0452, loss: 3.0452 +2025-05-13 22:02:23,376 - pyskl - INFO - Epoch [23][1200/2506] lr: 2.364e-02, eta: 1 day, 13:45:55, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8263, top5_acc: 0.9819, loss_cls: 3.1318, loss: 3.1318 +2025-05-13 22:03:04,236 - pyskl - INFO - Epoch [23][1300/2506] lr: 2.364e-02, eta: 1 day, 13:45:03, time: 0.409, data_time: 0.000, memory: 10838, top1_acc: 0.8331, top5_acc: 0.9731, loss_cls: 3.0874, loss: 3.0874 +2025-05-13 22:03:45,696 - pyskl - INFO - Epoch [23][1400/2506] lr: 2.363e-02, eta: 1 day, 13:44:14, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8375, top5_acc: 0.9744, loss_cls: 3.1935, loss: 3.1935 +2025-05-13 22:04:26,145 - pyskl - INFO - Epoch [23][1500/2506] lr: 2.363e-02, eta: 1 day, 13:43:20, time: 0.404, data_time: 0.000, memory: 10838, top1_acc: 0.8413, top5_acc: 0.9756, loss_cls: 3.0744, loss: 3.0744 +2025-05-13 22:05:07,464 - pyskl - INFO - Epoch [23][1600/2506] lr: 2.362e-02, eta: 1 day, 13:42:31, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8306, top5_acc: 0.9750, loss_cls: 3.1303, loss: 3.1303 +2025-05-13 22:05:48,525 - pyskl - INFO - Epoch [23][1700/2506] lr: 2.362e-02, eta: 1 day, 13:41:40, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8319, top5_acc: 0.9825, loss_cls: 3.0342, loss: 3.0342 +2025-05-13 22:06:28,550 - pyskl - INFO - Epoch [23][1800/2506] lr: 2.361e-02, eta: 1 day, 13:40:43, time: 0.400, data_time: 0.000, memory: 10838, top1_acc: 0.8337, top5_acc: 0.9731, loss_cls: 3.1432, loss: 3.1432 +2025-05-13 22:07:09,528 - pyskl - INFO - Epoch [23][1900/2506] lr: 2.361e-02, eta: 1 day, 13:39:52, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8275, top5_acc: 0.9712, loss_cls: 3.1039, loss: 3.1039 +2025-05-13 22:07:51,164 - pyskl - INFO - Epoch [23][2000/2506] lr: 2.360e-02, eta: 1 day, 13:39:05, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8131, top5_acc: 0.9738, loss_cls: 3.1766, loss: 3.1766 +2025-05-13 22:08:33,008 - pyskl - INFO - Epoch [23][2100/2506] lr: 2.360e-02, eta: 1 day, 13:38:18, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8363, top5_acc: 0.9788, loss_cls: 3.0448, loss: 3.0448 +2025-05-13 22:09:14,658 - pyskl - INFO - Epoch [23][2200/2506] lr: 2.359e-02, eta: 1 day, 13:37:31, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8356, top5_acc: 0.9806, loss_cls: 3.0022, loss: 3.0022 +2025-05-13 22:09:56,039 - pyskl - INFO - Epoch [23][2300/2506] lr: 2.359e-02, eta: 1 day, 13:36:42, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8337, top5_acc: 0.9819, loss_cls: 3.0901, loss: 3.0901 +2025-05-13 22:10:37,852 - pyskl - INFO - Epoch [23][2400/2506] lr: 2.358e-02, eta: 1 day, 13:35:56, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8263, top5_acc: 0.9750, loss_cls: 3.1210, loss: 3.1210 +2025-05-13 22:11:19,533 - pyskl - INFO - Epoch [23][2500/2506] lr: 2.358e-02, eta: 1 day, 13:35:09, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8488, top5_acc: 0.9850, loss_cls: 2.9811, loss: 2.9811 +2025-05-13 22:11:22,673 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-05-13 22:12:34,693 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 22:12:34,762 - pyskl - INFO - +top1_acc 0.8159 +top5_acc 0.9714 +2025-05-13 22:12:34,765 - pyskl - INFO - Epoch(val) [23][1031] top1_acc: 0.8159, top5_acc: 0.9714 +2025-05-13 22:13:42,620 - pyskl - INFO - Epoch [24][100/2506] lr: 2.357e-02, eta: 1 day, 13:36:29, time: 0.678, data_time: 0.259, memory: 10838, top1_acc: 0.8531, top5_acc: 0.9812, loss_cls: 3.0074, loss: 3.0074 +2025-05-13 22:14:24,354 - pyskl - INFO - Epoch [24][200/2506] lr: 2.357e-02, eta: 1 day, 13:35:42, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8525, top5_acc: 0.9781, loss_cls: 2.9309, loss: 2.9309 +2025-05-13 22:15:05,797 - pyskl - INFO - Epoch [24][300/2506] lr: 2.356e-02, eta: 1 day, 13:34:53, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8475, top5_acc: 0.9762, loss_cls: 2.9562, loss: 2.9562 +2025-05-13 22:15:47,538 - pyskl - INFO - Epoch [24][400/2506] lr: 2.356e-02, eta: 1 day, 13:34:06, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8538, top5_acc: 0.9838, loss_cls: 2.9679, loss: 2.9679 +2025-05-13 22:16:29,592 - pyskl - INFO - Epoch [24][500/2506] lr: 2.355e-02, eta: 1 day, 13:33:21, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8500, top5_acc: 0.9825, loss_cls: 3.0221, loss: 3.0221 +2025-05-13 22:17:11,532 - pyskl - INFO - Epoch [24][600/2506] lr: 2.355e-02, eta: 1 day, 13:32:35, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8450, top5_acc: 0.9750, loss_cls: 3.0493, loss: 3.0493 +2025-05-13 22:17:53,216 - pyskl - INFO - Epoch [24][700/2506] lr: 2.354e-02, eta: 1 day, 13:31:48, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8387, top5_acc: 0.9812, loss_cls: 3.0697, loss: 3.0697 +2025-05-13 22:18:35,308 - pyskl - INFO - Epoch [24][800/2506] lr: 2.354e-02, eta: 1 day, 13:31:03, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8669, top5_acc: 0.9844, loss_cls: 2.9389, loss: 2.9389 +2025-05-13 22:19:17,348 - pyskl - INFO - Epoch [24][900/2506] lr: 2.353e-02, eta: 1 day, 13:30:18, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8363, top5_acc: 0.9812, loss_cls: 3.0940, loss: 3.0940 +2025-05-13 22:19:59,338 - pyskl - INFO - Epoch [24][1000/2506] lr: 2.353e-02, eta: 1 day, 13:29:32, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8581, top5_acc: 0.9762, loss_cls: 3.0136, loss: 3.0136 +2025-05-13 22:20:41,011 - pyskl - INFO - Epoch [24][1100/2506] lr: 2.352e-02, eta: 1 day, 13:28:45, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8538, top5_acc: 0.9800, loss_cls: 3.0079, loss: 3.0079 +2025-05-13 22:21:22,195 - pyskl - INFO - Epoch [24][1200/2506] lr: 2.352e-02, eta: 1 day, 13:27:55, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8456, top5_acc: 0.9856, loss_cls: 3.0267, loss: 3.0267 +2025-05-13 22:22:03,656 - pyskl - INFO - Epoch [24][1300/2506] lr: 2.351e-02, eta: 1 day, 13:27:07, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8400, top5_acc: 0.9775, loss_cls: 2.9957, loss: 2.9957 +2025-05-13 22:22:45,349 - pyskl - INFO - Epoch [24][1400/2506] lr: 2.351e-02, eta: 1 day, 13:26:20, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8325, top5_acc: 0.9775, loss_cls: 3.0629, loss: 3.0629 +2025-05-13 22:23:27,613 - pyskl - INFO - Epoch [24][1500/2506] lr: 2.350e-02, eta: 1 day, 13:25:36, time: 0.423, data_time: 0.000, memory: 10838, top1_acc: 0.8381, top5_acc: 0.9738, loss_cls: 3.1718, loss: 3.1718 +2025-05-13 22:24:08,458 - pyskl - INFO - Epoch [24][1600/2506] lr: 2.350e-02, eta: 1 day, 13:24:44, time: 0.408, data_time: 0.000, memory: 10838, top1_acc: 0.8400, top5_acc: 0.9819, loss_cls: 3.0076, loss: 3.0076 +2025-05-13 22:24:50,417 - pyskl - INFO - Epoch [24][1700/2506] lr: 2.349e-02, eta: 1 day, 13:23:59, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8462, top5_acc: 0.9788, loss_cls: 3.1419, loss: 3.1419 +2025-05-13 22:25:31,156 - pyskl - INFO - Epoch [24][1800/2506] lr: 2.349e-02, eta: 1 day, 13:23:06, time: 0.407, data_time: 0.000, memory: 10838, top1_acc: 0.8344, top5_acc: 0.9750, loss_cls: 3.0667, loss: 3.0667 +2025-05-13 22:26:12,078 - pyskl - INFO - Epoch [24][1900/2506] lr: 2.348e-02, eta: 1 day, 13:22:15, time: 0.409, data_time: 0.000, memory: 10838, top1_acc: 0.8331, top5_acc: 0.9769, loss_cls: 3.0810, loss: 3.0810 +2025-05-13 22:26:53,556 - pyskl - INFO - Epoch [24][2000/2506] lr: 2.348e-02, eta: 1 day, 13:21:27, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8206, top5_acc: 0.9706, loss_cls: 3.1108, loss: 3.1108 +2025-05-13 22:27:35,534 - pyskl - INFO - Epoch [24][2100/2506] lr: 2.347e-02, eta: 1 day, 13:20:42, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8344, top5_acc: 0.9800, loss_cls: 3.0904, loss: 3.0904 +2025-05-13 22:28:17,036 - pyskl - INFO - Epoch [24][2200/2506] lr: 2.347e-02, eta: 1 day, 13:19:54, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8306, top5_acc: 0.9800, loss_cls: 3.0912, loss: 3.0912 +2025-05-13 22:28:58,907 - pyskl - INFO - Epoch [24][2300/2506] lr: 2.346e-02, eta: 1 day, 13:19:08, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8456, top5_acc: 0.9819, loss_cls: 3.0477, loss: 3.0477 +2025-05-13 22:29:40,470 - pyskl - INFO - Epoch [24][2400/2506] lr: 2.346e-02, eta: 1 day, 13:18:20, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8394, top5_acc: 0.9775, loss_cls: 3.0696, loss: 3.0696 +2025-05-13 22:30:22,449 - pyskl - INFO - Epoch [24][2500/2506] lr: 2.345e-02, eta: 1 day, 13:17:35, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8431, top5_acc: 0.9781, loss_cls: 3.0587, loss: 3.0587 +2025-05-13 22:30:25,885 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-05-13 22:31:38,752 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 22:31:38,827 - pyskl - INFO - +top1_acc 0.7832 +top5_acc 0.9619 +2025-05-13 22:31:38,830 - pyskl - INFO - Epoch(val) [24][1031] top1_acc: 0.7832, top5_acc: 0.9619 +2025-05-13 22:32:45,976 - pyskl - INFO - Epoch [25][100/2506] lr: 2.345e-02, eta: 1 day, 13:18:46, time: 0.671, data_time: 0.269, memory: 10838, top1_acc: 0.8525, top5_acc: 0.9869, loss_cls: 2.9298, loss: 2.9298 +2025-05-13 22:33:26,555 - pyskl - INFO - Epoch [25][200/2506] lr: 2.344e-02, eta: 1 day, 13:17:53, time: 0.406, data_time: 0.000, memory: 10838, top1_acc: 0.8475, top5_acc: 0.9788, loss_cls: 2.9826, loss: 2.9826 +2025-05-13 22:34:08,485 - pyskl - INFO - Epoch [25][300/2506] lr: 2.344e-02, eta: 1 day, 13:17:07, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8287, top5_acc: 0.9788, loss_cls: 2.9742, loss: 2.9742 +2025-05-13 22:34:50,228 - pyskl - INFO - Epoch [25][400/2506] lr: 2.343e-02, eta: 1 day, 13:16:20, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 2.8743, loss: 2.8743 +2025-05-13 22:35:32,372 - pyskl - INFO - Epoch [25][500/2506] lr: 2.343e-02, eta: 1 day, 13:15:36, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8481, top5_acc: 0.9762, loss_cls: 3.0604, loss: 3.0604 +2025-05-13 22:36:14,177 - pyskl - INFO - Epoch [25][600/2506] lr: 2.342e-02, eta: 1 day, 13:14:49, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8369, top5_acc: 0.9825, loss_cls: 2.9667, loss: 2.9667 +2025-05-13 22:36:54,948 - pyskl - INFO - Epoch [25][700/2506] lr: 2.342e-02, eta: 1 day, 13:13:57, time: 0.408, data_time: 0.000, memory: 10838, top1_acc: 0.8438, top5_acc: 0.9781, loss_cls: 2.9087, loss: 2.9087 +2025-05-13 22:37:36,730 - pyskl - INFO - Epoch [25][800/2506] lr: 2.341e-02, eta: 1 day, 13:13:11, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8519, top5_acc: 0.9738, loss_cls: 2.9218, loss: 2.9218 +2025-05-13 22:38:18,497 - pyskl - INFO - Epoch [25][900/2506] lr: 2.341e-02, eta: 1 day, 13:12:24, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8419, top5_acc: 0.9794, loss_cls: 2.9852, loss: 2.9852 +2025-05-13 22:39:00,013 - pyskl - INFO - Epoch [25][1000/2506] lr: 2.340e-02, eta: 1 day, 13:11:37, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 3.1376, loss: 3.1376 +2025-05-13 22:39:42,311 - pyskl - INFO - Epoch [25][1100/2506] lr: 2.340e-02, eta: 1 day, 13:10:53, time: 0.423, data_time: 0.000, memory: 10838, top1_acc: 0.8187, top5_acc: 0.9725, loss_cls: 3.2335, loss: 3.2335 +2025-05-13 22:40:23,968 - pyskl - INFO - Epoch [25][1200/2506] lr: 2.339e-02, eta: 1 day, 13:10:06, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 2.9719, loss: 2.9719 +2025-05-13 22:41:05,771 - pyskl - INFO - Epoch [25][1300/2506] lr: 2.339e-02, eta: 1 day, 13:09:19, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8219, top5_acc: 0.9719, loss_cls: 3.0689, loss: 3.0689 +2025-05-13 22:41:46,695 - pyskl - INFO - Epoch [25][1400/2506] lr: 2.338e-02, eta: 1 day, 13:08:29, time: 0.409, data_time: 0.000, memory: 10838, top1_acc: 0.8219, top5_acc: 0.9769, loss_cls: 3.0508, loss: 3.0508 +2025-05-13 22:42:27,953 - pyskl - INFO - Epoch [25][1500/2506] lr: 2.338e-02, eta: 1 day, 13:07:40, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8344, top5_acc: 0.9762, loss_cls: 3.1152, loss: 3.1152 +2025-05-13 22:43:09,452 - pyskl - INFO - Epoch [25][1600/2506] lr: 2.337e-02, eta: 1 day, 13:06:52, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8250, top5_acc: 0.9819, loss_cls: 3.1315, loss: 3.1315 +2025-05-13 22:43:50,398 - pyskl - INFO - Epoch [25][1700/2506] lr: 2.337e-02, eta: 1 day, 13:06:01, time: 0.409, data_time: 0.000, memory: 10838, top1_acc: 0.8425, top5_acc: 0.9769, loss_cls: 2.9817, loss: 2.9817 +2025-05-13 22:44:32,329 - pyskl - INFO - Epoch [25][1800/2506] lr: 2.336e-02, eta: 1 day, 13:05:16, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8512, top5_acc: 0.9806, loss_cls: 2.9913, loss: 2.9913 +2025-05-13 22:45:14,385 - pyskl - INFO - Epoch [25][1900/2506] lr: 2.336e-02, eta: 1 day, 13:04:31, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8331, top5_acc: 0.9769, loss_cls: 3.1216, loss: 3.1216 +2025-05-13 22:45:56,225 - pyskl - INFO - Epoch [25][2000/2506] lr: 2.335e-02, eta: 1 day, 13:03:45, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 3.0067, loss: 3.0067 +2025-05-13 22:46:37,997 - pyskl - INFO - Epoch [25][2100/2506] lr: 2.335e-02, eta: 1 day, 13:02:58, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8450, top5_acc: 0.9762, loss_cls: 3.1010, loss: 3.1010 +2025-05-13 22:47:19,189 - pyskl - INFO - Epoch [25][2200/2506] lr: 2.334e-02, eta: 1 day, 13:02:09, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8450, top5_acc: 0.9756, loss_cls: 2.9582, loss: 2.9582 +2025-05-13 22:48:00,500 - pyskl - INFO - Epoch [25][2300/2506] lr: 2.334e-02, eta: 1 day, 13:01:21, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9750, loss_cls: 3.1014, loss: 3.1014 +2025-05-13 22:48:42,431 - pyskl - INFO - Epoch [25][2400/2506] lr: 2.333e-02, eta: 1 day, 13:00:35, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8406, top5_acc: 0.9812, loss_cls: 3.0246, loss: 3.0246 +2025-05-13 22:49:23,982 - pyskl - INFO - Epoch [25][2500/2506] lr: 2.333e-02, eta: 1 day, 12:59:48, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8425, top5_acc: 0.9756, loss_cls: 3.0981, loss: 3.0981 +2025-05-13 22:49:27,071 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-05-13 22:50:39,788 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 22:50:39,888 - pyskl - INFO - +top1_acc 0.7998 +top5_acc 0.9694 +2025-05-13 22:50:39,892 - pyskl - INFO - Epoch(val) [25][1031] top1_acc: 0.7998, top5_acc: 0.9694 +2025-05-13 22:51:48,701 - pyskl - INFO - Epoch [26][100/2506] lr: 2.332e-02, eta: 1 day, 13:01:01, time: 0.688, data_time: 0.269, memory: 10838, top1_acc: 0.8506, top5_acc: 0.9806, loss_cls: 2.9494, loss: 2.9494 +2025-05-13 22:52:30,777 - pyskl - INFO - Epoch [26][200/2506] lr: 2.331e-02, eta: 1 day, 13:00:16, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8588, top5_acc: 0.9788, loss_cls: 2.9488, loss: 2.9488 +2025-05-13 22:53:12,615 - pyskl - INFO - Epoch [26][300/2506] lr: 2.331e-02, eta: 1 day, 12:59:30, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8531, top5_acc: 0.9812, loss_cls: 2.9213, loss: 2.9213 +2025-05-13 22:53:54,308 - pyskl - INFO - Epoch [26][400/2506] lr: 2.330e-02, eta: 1 day, 12:58:43, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 3.0034, loss: 3.0034 +2025-05-13 22:54:36,157 - pyskl - INFO - Epoch [26][500/2506] lr: 2.330e-02, eta: 1 day, 12:57:57, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8531, top5_acc: 0.9812, loss_cls: 2.9606, loss: 2.9606 +2025-05-13 22:55:18,095 - pyskl - INFO - Epoch [26][600/2506] lr: 2.329e-02, eta: 1 day, 12:57:12, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8363, top5_acc: 0.9756, loss_cls: 3.0345, loss: 3.0345 +2025-05-13 22:56:00,215 - pyskl - INFO - Epoch [26][700/2506] lr: 2.329e-02, eta: 1 day, 12:56:27, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9744, loss_cls: 3.0621, loss: 3.0621 +2025-05-13 22:56:41,676 - pyskl - INFO - Epoch [26][800/2506] lr: 2.328e-02, eta: 1 day, 12:55:39, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8581, top5_acc: 0.9806, loss_cls: 2.9499, loss: 2.9499 +2025-05-13 22:57:23,631 - pyskl - INFO - Epoch [26][900/2506] lr: 2.328e-02, eta: 1 day, 12:54:54, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8444, top5_acc: 0.9819, loss_cls: 2.9925, loss: 2.9925 +2025-05-13 22:58:05,650 - pyskl - INFO - Epoch [26][1000/2506] lr: 2.327e-02, eta: 1 day, 12:54:08, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8281, top5_acc: 0.9775, loss_cls: 3.0609, loss: 3.0609 +2025-05-13 22:58:47,697 - pyskl - INFO - Epoch [26][1100/2506] lr: 2.327e-02, eta: 1 day, 12:53:23, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8581, top5_acc: 0.9831, loss_cls: 2.9831, loss: 2.9831 +2025-05-13 22:59:30,031 - pyskl - INFO - Epoch [26][1200/2506] lr: 2.326e-02, eta: 1 day, 12:52:40, time: 0.423, data_time: 0.000, memory: 10838, top1_acc: 0.8269, top5_acc: 0.9719, loss_cls: 3.1608, loss: 3.1608 +2025-05-13 23:00:11,755 - pyskl - INFO - Epoch [26][1300/2506] lr: 2.326e-02, eta: 1 day, 12:51:53, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8469, top5_acc: 0.9812, loss_cls: 2.9984, loss: 2.9984 +2025-05-13 23:00:52,947 - pyskl - INFO - Epoch [26][1400/2506] lr: 2.325e-02, eta: 1 day, 12:51:04, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8281, top5_acc: 0.9762, loss_cls: 3.0788, loss: 3.0788 +2025-05-13 23:01:33,736 - pyskl - INFO - Epoch [26][1500/2506] lr: 2.325e-02, eta: 1 day, 12:50:13, time: 0.408, data_time: 0.000, memory: 10838, top1_acc: 0.8250, top5_acc: 0.9806, loss_cls: 3.0777, loss: 3.0777 +2025-05-13 23:02:15,463 - pyskl - INFO - Epoch [26][1600/2506] lr: 2.324e-02, eta: 1 day, 12:49:27, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8425, top5_acc: 0.9831, loss_cls: 2.9485, loss: 2.9485 +2025-05-13 23:02:57,438 - pyskl - INFO - Epoch [26][1700/2506] lr: 2.324e-02, eta: 1 day, 12:48:41, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8462, top5_acc: 0.9794, loss_cls: 3.0479, loss: 3.0479 +2025-05-13 23:03:39,005 - pyskl - INFO - Epoch [26][1800/2506] lr: 2.323e-02, eta: 1 day, 12:47:54, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8438, top5_acc: 0.9800, loss_cls: 3.0206, loss: 3.0206 +2025-05-13 23:04:20,026 - pyskl - INFO - Epoch [26][1900/2506] lr: 2.322e-02, eta: 1 day, 12:47:04, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8550, top5_acc: 0.9794, loss_cls: 2.9730, loss: 2.9730 +2025-05-13 23:05:01,765 - pyskl - INFO - Epoch [26][2000/2506] lr: 2.322e-02, eta: 1 day, 12:46:18, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8325, top5_acc: 0.9794, loss_cls: 3.0706, loss: 3.0706 +2025-05-13 23:05:43,061 - pyskl - INFO - Epoch [26][2100/2506] lr: 2.321e-02, eta: 1 day, 12:45:29, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8475, top5_acc: 0.9781, loss_cls: 2.9196, loss: 2.9196 +2025-05-13 23:06:23,450 - pyskl - INFO - Epoch [26][2200/2506] lr: 2.321e-02, eta: 1 day, 12:44:37, time: 0.404, data_time: 0.000, memory: 10838, top1_acc: 0.8531, top5_acc: 0.9806, loss_cls: 2.9285, loss: 2.9285 +2025-05-13 23:07:04,695 - pyskl - INFO - Epoch [26][2300/2506] lr: 2.320e-02, eta: 1 day, 12:43:48, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8369, top5_acc: 0.9788, loss_cls: 3.0388, loss: 3.0388 +2025-05-13 23:07:46,344 - pyskl - INFO - Epoch [26][2400/2506] lr: 2.320e-02, eta: 1 day, 12:43:01, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8300, top5_acc: 0.9788, loss_cls: 3.0787, loss: 3.0787 +2025-05-13 23:08:27,808 - pyskl - INFO - Epoch [26][2500/2506] lr: 2.319e-02, eta: 1 day, 12:42:14, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 2.9745, loss: 2.9745 +2025-05-13 23:08:30,919 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-05-13 23:09:44,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 23:09:44,303 - pyskl - INFO - +top1_acc 0.8123 +top5_acc 0.9718 +2025-05-13 23:09:44,307 - pyskl - INFO - Epoch(val) [26][1031] top1_acc: 0.8123, top5_acc: 0.9718 +2025-05-13 23:10:52,285 - pyskl - INFO - Epoch [27][100/2506] lr: 2.319e-02, eta: 1 day, 12:43:18, time: 0.680, data_time: 0.261, memory: 10838, top1_acc: 0.8425, top5_acc: 0.9806, loss_cls: 2.9684, loss: 2.9684 +2025-05-13 23:11:33,795 - pyskl - INFO - Epoch [27][200/2506] lr: 2.318e-02, eta: 1 day, 12:42:30, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8562, top5_acc: 0.9800, loss_cls: 3.0107, loss: 3.0107 +2025-05-13 23:12:15,780 - pyskl - INFO - Epoch [27][300/2506] lr: 2.318e-02, eta: 1 day, 12:41:45, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8481, top5_acc: 0.9812, loss_cls: 2.9908, loss: 2.9908 +2025-05-13 23:12:57,400 - pyskl - INFO - Epoch [27][400/2506] lr: 2.317e-02, eta: 1 day, 12:40:58, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 3.0071, loss: 3.0071 +2025-05-13 23:13:39,165 - pyskl - INFO - Epoch [27][500/2506] lr: 2.316e-02, eta: 1 day, 12:40:12, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8344, top5_acc: 0.9775, loss_cls: 3.0229, loss: 3.0229 +2025-05-13 23:14:21,232 - pyskl - INFO - Epoch [27][600/2506] lr: 2.316e-02, eta: 1 day, 12:39:27, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8550, top5_acc: 0.9844, loss_cls: 2.9201, loss: 2.9201 +2025-05-13 23:15:03,060 - pyskl - INFO - Epoch [27][700/2506] lr: 2.315e-02, eta: 1 day, 12:38:41, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8525, top5_acc: 0.9794, loss_cls: 2.9506, loss: 2.9506 +2025-05-13 23:15:44,852 - pyskl - INFO - Epoch [27][800/2506] lr: 2.315e-02, eta: 1 day, 12:37:55, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8381, top5_acc: 0.9788, loss_cls: 3.0646, loss: 3.0646 +2025-05-13 23:16:26,405 - pyskl - INFO - Epoch [27][900/2506] lr: 2.314e-02, eta: 1 day, 12:37:07, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8512, top5_acc: 0.9806, loss_cls: 2.8485, loss: 2.8485 +2025-05-13 23:17:08,045 - pyskl - INFO - Epoch [27][1000/2506] lr: 2.314e-02, eta: 1 day, 12:36:21, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8425, top5_acc: 0.9769, loss_cls: 3.0690, loss: 3.0690 +2025-05-13 23:17:49,740 - pyskl - INFO - Epoch [27][1100/2506] lr: 2.313e-02, eta: 1 day, 12:35:34, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 2.9216, loss: 2.9216 +2025-05-13 23:18:31,030 - pyskl - INFO - Epoch [27][1200/2506] lr: 2.313e-02, eta: 1 day, 12:34:46, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8638, top5_acc: 0.9825, loss_cls: 2.9232, loss: 2.9232 +2025-05-13 23:19:11,992 - pyskl - INFO - Epoch [27][1300/2506] lr: 2.312e-02, eta: 1 day, 12:33:56, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 3.0862, loss: 3.0862 +2025-05-13 23:19:52,829 - pyskl - INFO - Epoch [27][1400/2506] lr: 2.312e-02, eta: 1 day, 12:33:05, time: 0.408, data_time: 0.000, memory: 10838, top1_acc: 0.8300, top5_acc: 0.9806, loss_cls: 3.0640, loss: 3.0640 +2025-05-13 23:20:34,333 - pyskl - INFO - Epoch [27][1500/2506] lr: 2.311e-02, eta: 1 day, 12:32:18, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8488, top5_acc: 0.9781, loss_cls: 3.0884, loss: 3.0884 +2025-05-13 23:21:16,212 - pyskl - INFO - Epoch [27][1600/2506] lr: 2.310e-02, eta: 1 day, 12:31:32, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8450, top5_acc: 0.9756, loss_cls: 3.1142, loss: 3.1142 +2025-05-13 23:21:58,090 - pyskl - INFO - Epoch [27][1700/2506] lr: 2.310e-02, eta: 1 day, 12:30:47, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9800, loss_cls: 3.0333, loss: 3.0333 +2025-05-13 23:22:39,589 - pyskl - INFO - Epoch [27][1800/2506] lr: 2.309e-02, eta: 1 day, 12:30:00, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8413, top5_acc: 0.9800, loss_cls: 3.0819, loss: 3.0819 +2025-05-13 23:23:21,352 - pyskl - INFO - Epoch [27][1900/2506] lr: 2.309e-02, eta: 1 day, 12:29:14, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8519, top5_acc: 0.9819, loss_cls: 3.0458, loss: 3.0458 +2025-05-13 23:24:02,874 - pyskl - INFO - Epoch [27][2000/2506] lr: 2.308e-02, eta: 1 day, 12:28:26, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8562, top5_acc: 0.9831, loss_cls: 3.0066, loss: 3.0066 +2025-05-13 23:24:44,115 - pyskl - INFO - Epoch [27][2100/2506] lr: 2.308e-02, eta: 1 day, 12:27:38, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8500, top5_acc: 0.9800, loss_cls: 2.9631, loss: 2.9631 +2025-05-13 23:25:25,547 - pyskl - INFO - Epoch [27][2200/2506] lr: 2.307e-02, eta: 1 day, 12:26:50, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8400, top5_acc: 0.9831, loss_cls: 2.9767, loss: 2.9767 +2025-05-13 23:26:07,432 - pyskl - INFO - Epoch [27][2300/2506] lr: 2.307e-02, eta: 1 day, 12:26:05, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8444, top5_acc: 0.9775, loss_cls: 3.0041, loss: 3.0041 +2025-05-13 23:26:49,461 - pyskl - INFO - Epoch [27][2400/2506] lr: 2.306e-02, eta: 1 day, 12:25:20, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8506, top5_acc: 0.9781, loss_cls: 2.9688, loss: 2.9688 +2025-05-13 23:27:31,357 - pyskl - INFO - Epoch [27][2500/2506] lr: 2.305e-02, eta: 1 day, 12:24:35, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9750, loss_cls: 3.1076, loss: 3.1076 +2025-05-13 23:27:34,806 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-05-13 23:28:47,784 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 23:28:47,882 - pyskl - INFO - +top1_acc 0.7938 +top5_acc 0.9674 +2025-05-13 23:28:47,885 - pyskl - INFO - Epoch(val) [27][1031] top1_acc: 0.7938, top5_acc: 0.9674 +2025-05-13 23:29:57,179 - pyskl - INFO - Epoch [28][100/2506] lr: 2.305e-02, eta: 1 day, 12:25:40, time: 0.693, data_time: 0.274, memory: 10838, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 2.8424, loss: 2.8424 +2025-05-13 23:30:39,276 - pyskl - INFO - Epoch [28][200/2506] lr: 2.304e-02, eta: 1 day, 12:24:55, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 2.8798, loss: 2.8798 +2025-05-13 23:31:21,139 - pyskl - INFO - Epoch [28][300/2506] lr: 2.304e-02, eta: 1 day, 12:24:09, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8431, top5_acc: 0.9831, loss_cls: 3.0241, loss: 3.0241 +2025-05-13 23:32:03,029 - pyskl - INFO - Epoch [28][400/2506] lr: 2.303e-02, eta: 1 day, 12:23:24, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8519, top5_acc: 0.9788, loss_cls: 2.9656, loss: 2.9656 +2025-05-13 23:32:44,968 - pyskl - INFO - Epoch [28][500/2506] lr: 2.303e-02, eta: 1 day, 12:22:38, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8544, top5_acc: 0.9812, loss_cls: 3.0056, loss: 3.0056 +2025-05-13 23:33:26,563 - pyskl - INFO - Epoch [28][600/2506] lr: 2.302e-02, eta: 1 day, 12:21:52, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8575, top5_acc: 0.9888, loss_cls: 2.8501, loss: 2.8501 +2025-05-13 23:34:08,335 - pyskl - INFO - Epoch [28][700/2506] lr: 2.301e-02, eta: 1 day, 12:21:05, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8413, top5_acc: 0.9775, loss_cls: 3.0402, loss: 3.0402 +2025-05-13 23:34:49,936 - pyskl - INFO - Epoch [28][800/2506] lr: 2.301e-02, eta: 1 day, 12:20:19, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8450, top5_acc: 0.9850, loss_cls: 2.9483, loss: 2.9483 +2025-05-13 23:35:32,170 - pyskl - INFO - Epoch [28][900/2506] lr: 2.300e-02, eta: 1 day, 12:19:35, time: 0.422, data_time: 0.000, memory: 10838, top1_acc: 0.8450, top5_acc: 0.9788, loss_cls: 2.9951, loss: 2.9951 +2025-05-13 23:36:14,165 - pyskl - INFO - Epoch [28][1000/2506] lr: 2.300e-02, eta: 1 day, 12:18:50, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8431, top5_acc: 0.9806, loss_cls: 3.0027, loss: 3.0027 +2025-05-13 23:36:56,385 - pyskl - INFO - Epoch [28][1100/2506] lr: 2.299e-02, eta: 1 day, 12:18:06, time: 0.422, data_time: 0.000, memory: 10838, top1_acc: 0.8462, top5_acc: 0.9844, loss_cls: 2.9783, loss: 2.9783 +2025-05-13 23:37:38,205 - pyskl - INFO - Epoch [28][1200/2506] lr: 2.299e-02, eta: 1 day, 12:17:20, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8669, top5_acc: 0.9794, loss_cls: 2.9212, loss: 2.9212 +2025-05-13 23:38:20,269 - pyskl - INFO - Epoch [28][1300/2506] lr: 2.298e-02, eta: 1 day, 12:16:35, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8431, top5_acc: 0.9781, loss_cls: 2.9271, loss: 2.9271 +2025-05-13 23:39:01,409 - pyskl - INFO - Epoch [28][1400/2506] lr: 2.298e-02, eta: 1 day, 12:15:46, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8387, top5_acc: 0.9812, loss_cls: 2.9124, loss: 2.9124 +2025-05-13 23:39:42,384 - pyskl - INFO - Epoch [28][1500/2506] lr: 2.297e-02, eta: 1 day, 12:14:57, time: 0.410, data_time: 0.000, memory: 10838, top1_acc: 0.8494, top5_acc: 0.9744, loss_cls: 2.9449, loss: 2.9449 +2025-05-13 23:40:22,806 - pyskl - INFO - Epoch [28][1600/2506] lr: 2.296e-02, eta: 1 day, 12:14:05, time: 0.404, data_time: 0.000, memory: 10838, top1_acc: 0.8419, top5_acc: 0.9831, loss_cls: 3.0230, loss: 3.0230 +2025-05-13 23:41:04,820 - pyskl - INFO - Epoch [28][1700/2506] lr: 2.296e-02, eta: 1 day, 12:13:20, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8506, top5_acc: 0.9750, loss_cls: 3.0248, loss: 3.0248 +2025-05-13 23:41:46,624 - pyskl - INFO - Epoch [28][1800/2506] lr: 2.295e-02, eta: 1 day, 12:12:34, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8431, top5_acc: 0.9769, loss_cls: 2.9258, loss: 2.9258 +2025-05-13 23:42:28,555 - pyskl - INFO - Epoch [28][1900/2506] lr: 2.295e-02, eta: 1 day, 12:11:49, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8475, top5_acc: 0.9806, loss_cls: 2.9667, loss: 2.9667 +2025-05-13 23:43:09,120 - pyskl - INFO - Epoch [28][2000/2506] lr: 2.294e-02, eta: 1 day, 12:10:58, time: 0.406, data_time: 0.000, memory: 10838, top1_acc: 0.8331, top5_acc: 0.9819, loss_cls: 3.0472, loss: 3.0472 +2025-05-13 23:43:50,733 - pyskl - INFO - Epoch [28][2100/2506] lr: 2.293e-02, eta: 1 day, 12:10:11, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8406, top5_acc: 0.9744, loss_cls: 3.0442, loss: 3.0442 +2025-05-13 23:44:30,723 - pyskl - INFO - Epoch [28][2200/2506] lr: 2.293e-02, eta: 1 day, 12:09:17, time: 0.400, data_time: 0.000, memory: 10838, top1_acc: 0.8544, top5_acc: 0.9725, loss_cls: 3.0218, loss: 3.0218 +2025-05-13 23:45:12,469 - pyskl - INFO - Epoch [28][2300/2506] lr: 2.292e-02, eta: 1 day, 12:08:32, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8719, top5_acc: 0.9812, loss_cls: 2.8344, loss: 2.8344 +2025-05-13 23:45:54,053 - pyskl - INFO - Epoch [28][2400/2506] lr: 2.292e-02, eta: 1 day, 12:07:45, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8344, top5_acc: 0.9762, loss_cls: 3.0024, loss: 3.0024 +2025-05-13 23:46:36,008 - pyskl - INFO - Epoch [28][2500/2506] lr: 2.291e-02, eta: 1 day, 12:07:00, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8506, top5_acc: 0.9856, loss_cls: 2.9361, loss: 2.9361 +2025-05-13 23:46:39,522 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-05-13 23:47:52,107 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-13 23:47:52,179 - pyskl - INFO - +top1_acc 0.8267 +top5_acc 0.9742 +2025-05-13 23:47:52,234 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_18.pth was removed +2025-05-13 23:47:53,571 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_28.pth. +2025-05-13 23:47:53,572 - pyskl - INFO - Best top1_acc is 0.8267 at 28 epoch. +2025-05-13 23:47:53,575 - pyskl - INFO - Epoch(val) [28][1031] top1_acc: 0.8267, top5_acc: 0.9742 +2025-05-13 23:49:02,846 - pyskl - INFO - Epoch [29][100/2506] lr: 2.291e-02, eta: 1 day, 12:08:00, time: 0.693, data_time: 0.271, memory: 10838, top1_acc: 0.8688, top5_acc: 0.9850, loss_cls: 2.8254, loss: 2.8254 +2025-05-13 23:49:44,370 - pyskl - INFO - Epoch [29][200/2506] lr: 2.290e-02, eta: 1 day, 12:07:13, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8631, top5_acc: 0.9806, loss_cls: 2.9363, loss: 2.9363 +2025-05-13 23:50:25,431 - pyskl - INFO - Epoch [29][300/2506] lr: 2.289e-02, eta: 1 day, 12:06:24, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 2.9505, loss: 2.9505 +2025-05-13 23:51:06,139 - pyskl - INFO - Epoch [29][400/2506] lr: 2.289e-02, eta: 1 day, 12:05:33, time: 0.407, data_time: 0.000, memory: 10838, top1_acc: 0.8594, top5_acc: 0.9881, loss_cls: 2.8635, loss: 2.8635 +2025-05-13 23:51:47,864 - pyskl - INFO - Epoch [29][500/2506] lr: 2.288e-02, eta: 1 day, 12:04:47, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8694, top5_acc: 0.9806, loss_cls: 2.8693, loss: 2.8693 +2025-05-13 23:52:29,891 - pyskl - INFO - Epoch [29][600/2506] lr: 2.288e-02, eta: 1 day, 12:04:02, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8469, top5_acc: 0.9819, loss_cls: 3.0394, loss: 3.0394 +2025-05-13 23:53:11,817 - pyskl - INFO - Epoch [29][700/2506] lr: 2.287e-02, eta: 1 day, 12:03:17, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8406, top5_acc: 0.9781, loss_cls: 2.9698, loss: 2.9698 +2025-05-13 23:53:53,533 - pyskl - INFO - Epoch [29][800/2506] lr: 2.287e-02, eta: 1 day, 12:02:31, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8356, top5_acc: 0.9756, loss_cls: 2.9755, loss: 2.9755 +2025-05-13 23:54:34,970 - pyskl - INFO - Epoch [29][900/2506] lr: 2.286e-02, eta: 1 day, 12:01:44, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8438, top5_acc: 0.9825, loss_cls: 2.9599, loss: 2.9599 +2025-05-13 23:55:17,050 - pyskl - INFO - Epoch [29][1000/2506] lr: 2.285e-02, eta: 1 day, 12:00:59, time: 0.421, data_time: 0.000, memory: 10838, top1_acc: 0.8356, top5_acc: 0.9756, loss_cls: 3.1106, loss: 3.1106 +2025-05-13 23:55:58,960 - pyskl - INFO - Epoch [29][1100/2506] lr: 2.285e-02, eta: 1 day, 12:00:14, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8581, top5_acc: 0.9775, loss_cls: 2.9001, loss: 2.9001 +2025-05-13 23:56:40,901 - pyskl - INFO - Epoch [29][1200/2506] lr: 2.284e-02, eta: 1 day, 11:59:29, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8425, top5_acc: 0.9812, loss_cls: 3.0208, loss: 3.0208 +2025-05-13 23:57:23,092 - pyskl - INFO - Epoch [29][1300/2506] lr: 2.284e-02, eta: 1 day, 11:58:45, time: 0.422, data_time: 0.000, memory: 10838, top1_acc: 0.8569, top5_acc: 0.9800, loss_cls: 2.9826, loss: 2.9826 +2025-05-13 23:58:04,604 - pyskl - INFO - Epoch [29][1400/2506] lr: 2.283e-02, eta: 1 day, 11:57:58, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8419, top5_acc: 0.9806, loss_cls: 3.0162, loss: 3.0162 +2025-05-13 23:58:45,823 - pyskl - INFO - Epoch [29][1500/2506] lr: 2.282e-02, eta: 1 day, 11:57:09, time: 0.412, data_time: 0.000, memory: 10838, top1_acc: 0.8594, top5_acc: 0.9838, loss_cls: 2.9373, loss: 2.9373 +2025-05-13 23:59:27,788 - pyskl - INFO - Epoch [29][1600/2506] lr: 2.282e-02, eta: 1 day, 11:56:24, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 2.9356, loss: 2.9356 +2025-05-14 00:00:09,134 - pyskl - INFO - Epoch [29][1700/2506] lr: 2.281e-02, eta: 1 day, 11:55:37, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8450, top5_acc: 0.9769, loss_cls: 3.0226, loss: 3.0226 +2025-05-14 00:00:51,009 - pyskl - INFO - Epoch [29][1800/2506] lr: 2.281e-02, eta: 1 day, 11:54:51, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8337, top5_acc: 0.9781, loss_cls: 3.0565, loss: 3.0565 +2025-05-14 00:01:32,685 - pyskl - INFO - Epoch [29][1900/2506] lr: 2.280e-02, eta: 1 day, 11:54:05, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8481, top5_acc: 0.9806, loss_cls: 2.9031, loss: 2.9031 +2025-05-14 00:02:14,536 - pyskl - INFO - Epoch [29][2000/2506] lr: 2.279e-02, eta: 1 day, 11:53:20, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8469, top5_acc: 0.9800, loss_cls: 2.9177, loss: 2.9177 +2025-05-14 00:02:56,056 - pyskl - INFO - Epoch [29][2100/2506] lr: 2.279e-02, eta: 1 day, 11:52:33, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8475, top5_acc: 0.9838, loss_cls: 3.0588, loss: 3.0588 +2025-05-14 00:03:37,992 - pyskl - INFO - Epoch [29][2200/2506] lr: 2.278e-02, eta: 1 day, 11:51:48, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8612, top5_acc: 0.9781, loss_cls: 2.9484, loss: 2.9484 +2025-05-14 00:04:19,944 - pyskl - INFO - Epoch [29][2300/2506] lr: 2.278e-02, eta: 1 day, 11:51:03, time: 0.420, data_time: 0.000, memory: 10838, top1_acc: 0.8394, top5_acc: 0.9806, loss_cls: 3.0868, loss: 3.0868 +2025-05-14 00:05:01,834 - pyskl - INFO - Epoch [29][2400/2506] lr: 2.277e-02, eta: 1 day, 11:50:18, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8481, top5_acc: 0.9769, loss_cls: 2.9456, loss: 2.9456 +2025-05-14 00:05:43,593 - pyskl - INFO - Epoch [29][2500/2506] lr: 2.276e-02, eta: 1 day, 11:49:32, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8263, top5_acc: 0.9750, loss_cls: 3.1634, loss: 3.1634 +2025-05-14 00:05:46,830 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-05-14 00:06:59,853 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 00:06:59,921 - pyskl - INFO - +top1_acc 0.8179 +top5_acc 0.9703 +2025-05-14 00:06:59,924 - pyskl - INFO - Epoch(val) [29][1031] top1_acc: 0.8179, top5_acc: 0.9703 +2025-05-14 00:08:09,021 - pyskl - INFO - Epoch [30][100/2506] lr: 2.276e-02, eta: 1 day, 11:50:27, time: 0.691, data_time: 0.285, memory: 10838, top1_acc: 0.8662, top5_acc: 0.9856, loss_cls: 2.9049, loss: 2.9049 +2025-05-14 00:08:50,543 - pyskl - INFO - Epoch [30][200/2506] lr: 2.275e-02, eta: 1 day, 11:49:40, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8488, top5_acc: 0.9812, loss_cls: 2.8775, loss: 2.8775 +2025-05-14 00:09:32,051 - pyskl - INFO - Epoch [30][300/2506] lr: 2.275e-02, eta: 1 day, 11:48:53, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8494, top5_acc: 0.9781, loss_cls: 3.0177, loss: 3.0177 +2025-05-14 00:10:13,531 - pyskl - INFO - Epoch [30][400/2506] lr: 2.274e-02, eta: 1 day, 11:48:06, time: 0.415, data_time: 0.000, memory: 10838, top1_acc: 0.8638, top5_acc: 0.9869, loss_cls: 2.8918, loss: 2.8918 +2025-05-14 00:10:55,361 - pyskl - INFO - Epoch [30][500/2506] lr: 2.273e-02, eta: 1 day, 11:47:20, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 2.9939, loss: 2.9939 +2025-05-14 00:11:37,123 - pyskl - INFO - Epoch [30][600/2506] lr: 2.273e-02, eta: 1 day, 11:46:34, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8450, top5_acc: 0.9781, loss_cls: 3.0093, loss: 3.0093 +2025-05-14 00:12:18,809 - pyskl - INFO - Epoch [30][700/2506] lr: 2.272e-02, eta: 1 day, 11:45:48, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8700, top5_acc: 0.9794, loss_cls: 2.8879, loss: 2.8879 +2025-05-14 00:13:00,749 - pyskl - INFO - Epoch [30][800/2506] lr: 2.272e-02, eta: 1 day, 11:45:03, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8456, top5_acc: 0.9862, loss_cls: 2.9513, loss: 2.9513 +2025-05-14 00:13:42,632 - pyskl - INFO - Epoch [30][900/2506] lr: 2.271e-02, eta: 1 day, 11:44:18, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8494, top5_acc: 0.9850, loss_cls: 2.8585, loss: 2.8585 +2025-05-14 00:14:23,890 - pyskl - INFO - Epoch [30][1000/2506] lr: 2.270e-02, eta: 1 day, 11:43:30, time: 0.413, data_time: 0.000, memory: 10838, top1_acc: 0.8594, top5_acc: 0.9881, loss_cls: 2.9211, loss: 2.9211 +2025-05-14 00:15:04,046 - pyskl - INFO - Epoch [30][1100/2506] lr: 2.270e-02, eta: 1 day, 11:42:38, time: 0.402, data_time: 0.000, memory: 10838, top1_acc: 0.8500, top5_acc: 0.9869, loss_cls: 2.8602, loss: 2.8602 +2025-05-14 00:15:44,845 - pyskl - INFO - Epoch [30][1200/2506] lr: 2.269e-02, eta: 1 day, 11:41:48, time: 0.408, data_time: 0.000, memory: 10838, top1_acc: 0.8444, top5_acc: 0.9762, loss_cls: 2.9707, loss: 2.9707 +2025-05-14 00:16:26,621 - pyskl - INFO - Epoch [30][1300/2506] lr: 2.269e-02, eta: 1 day, 11:41:02, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8438, top5_acc: 0.9800, loss_cls: 2.9902, loss: 2.9902 +2025-05-14 00:17:08,008 - pyskl - INFO - Epoch [30][1400/2506] lr: 2.268e-02, eta: 1 day, 11:40:15, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8525, top5_acc: 0.9850, loss_cls: 3.0031, loss: 3.0031 +2025-05-14 00:17:49,403 - pyskl - INFO - Epoch [30][1500/2506] lr: 2.267e-02, eta: 1 day, 11:39:28, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8506, top5_acc: 0.9800, loss_cls: 3.0230, loss: 3.0230 +2025-05-14 00:18:31,213 - pyskl - INFO - Epoch [30][1600/2506] lr: 2.267e-02, eta: 1 day, 11:38:42, time: 0.418, data_time: 0.000, memory: 10838, top1_acc: 0.8638, top5_acc: 0.9781, loss_cls: 2.9312, loss: 2.9312 +2025-05-14 00:19:12,854 - pyskl - INFO - Epoch [30][1700/2506] lr: 2.266e-02, eta: 1 day, 11:37:56, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8319, top5_acc: 0.9756, loss_cls: 3.0560, loss: 3.0560 +2025-05-14 00:19:54,455 - pyskl - INFO - Epoch [30][1800/2506] lr: 2.266e-02, eta: 1 day, 11:37:10, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8319, top5_acc: 0.9712, loss_cls: 3.1029, loss: 3.1029 +2025-05-14 00:20:36,057 - pyskl - INFO - Epoch [30][1900/2506] lr: 2.265e-02, eta: 1 day, 11:36:23, time: 0.416, data_time: 0.000, memory: 10838, top1_acc: 0.8375, top5_acc: 0.9838, loss_cls: 3.0579, loss: 3.0579 +2025-05-14 00:21:17,760 - pyskl - INFO - Epoch [30][2000/2506] lr: 2.264e-02, eta: 1 day, 11:35:37, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8625, top5_acc: 0.9794, loss_cls: 2.9979, loss: 2.9979 +2025-05-14 00:21:58,430 - pyskl - INFO - Epoch [30][2100/2506] lr: 2.264e-02, eta: 1 day, 11:34:47, time: 0.407, data_time: 0.000, memory: 10838, top1_acc: 0.8313, top5_acc: 0.9769, loss_cls: 2.9904, loss: 2.9904 +2025-05-14 00:22:39,817 - pyskl - INFO - Epoch [30][2200/2506] lr: 2.263e-02, eta: 1 day, 11:34:00, time: 0.414, data_time: 0.000, memory: 10838, top1_acc: 0.8337, top5_acc: 0.9794, loss_cls: 3.0228, loss: 3.0228 +2025-05-14 00:23:21,700 - pyskl - INFO - Epoch [30][2300/2506] lr: 2.263e-02, eta: 1 day, 11:33:15, time: 0.419, data_time: 0.000, memory: 10838, top1_acc: 0.8525, top5_acc: 0.9812, loss_cls: 2.8576, loss: 2.8576 +2025-05-14 00:24:02,786 - pyskl - INFO - Epoch [30][2400/2506] lr: 2.262e-02, eta: 1 day, 11:32:27, time: 0.411, data_time: 0.000, memory: 10838, top1_acc: 0.8425, top5_acc: 0.9800, loss_cls: 3.0191, loss: 3.0191 +2025-05-14 00:24:44,501 - pyskl - INFO - Epoch [30][2500/2506] lr: 2.261e-02, eta: 1 day, 11:31:41, time: 0.417, data_time: 0.000, memory: 10838, top1_acc: 0.8594, top5_acc: 0.9806, loss_cls: 2.9598, loss: 2.9598 +2025-05-14 00:24:47,734 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-05-14 00:26:00,583 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 00:26:00,679 - pyskl - INFO - +top1_acc 0.8168 +top5_acc 0.9709 +2025-05-14 00:26:00,682 - pyskl - INFO - Epoch(val) [30][1031] top1_acc: 0.8168, top5_acc: 0.9709 +2025-05-14 00:27:08,961 - pyskl - INFO - Epoch [31][100/2506] lr: 2.261e-02, eta: 1 day, 11:32:28, time: 0.683, data_time: 0.269, memory: 10839, top1_acc: 0.8531, top5_acc: 0.9819, loss_cls: 2.9461, loss: 2.9461 +2025-05-14 00:27:50,848 - pyskl - INFO - Epoch [31][200/2506] lr: 2.260e-02, eta: 1 day, 11:31:43, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8619, top5_acc: 0.9838, loss_cls: 2.9414, loss: 2.9414 +2025-05-14 00:28:31,993 - pyskl - INFO - Epoch [31][300/2506] lr: 2.259e-02, eta: 1 day, 11:30:55, time: 0.411, data_time: 0.000, memory: 10839, top1_acc: 0.8512, top5_acc: 0.9794, loss_cls: 2.9329, loss: 2.9329 +2025-05-14 00:29:13,629 - pyskl - INFO - Epoch [31][400/2506] lr: 2.259e-02, eta: 1 day, 11:30:09, time: 0.416, data_time: 0.000, memory: 10839, top1_acc: 0.8656, top5_acc: 0.9794, loss_cls: 2.8788, loss: 2.8788 +2025-05-14 00:29:55,276 - pyskl - INFO - Epoch [31][500/2506] lr: 2.258e-02, eta: 1 day, 11:29:22, time: 0.416, data_time: 0.000, memory: 10839, top1_acc: 0.8794, top5_acc: 0.9819, loss_cls: 2.8159, loss: 2.8159 +2025-05-14 00:30:37,280 - pyskl - INFO - Epoch [31][600/2506] lr: 2.258e-02, eta: 1 day, 11:28:38, time: 0.420, data_time: 0.000, memory: 10839, top1_acc: 0.8625, top5_acc: 0.9844, loss_cls: 2.9003, loss: 2.9003 +2025-05-14 00:31:19,268 - pyskl - INFO - Epoch [31][700/2506] lr: 2.257e-02, eta: 1 day, 11:27:53, time: 0.420, data_time: 0.000, memory: 10839, top1_acc: 0.8550, top5_acc: 0.9819, loss_cls: 2.8962, loss: 2.8962 +2025-05-14 00:32:01,391 - pyskl - INFO - Epoch [31][800/2506] lr: 2.256e-02, eta: 1 day, 11:27:09, time: 0.421, data_time: 0.000, memory: 10839, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 2.8878, loss: 2.8878 +2025-05-14 00:32:43,290 - pyskl - INFO - Epoch [31][900/2506] lr: 2.256e-02, eta: 1 day, 11:26:24, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8469, top5_acc: 0.9794, loss_cls: 2.9016, loss: 2.9016 +2025-05-14 00:33:25,129 - pyskl - INFO - Epoch [31][1000/2506] lr: 2.255e-02, eta: 1 day, 11:25:38, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8531, top5_acc: 0.9812, loss_cls: 2.9110, loss: 2.9110 +2025-05-14 00:34:05,811 - pyskl - INFO - Epoch [31][1100/2506] lr: 2.254e-02, eta: 1 day, 11:24:48, time: 0.407, data_time: 0.000, memory: 10839, top1_acc: 0.8350, top5_acc: 0.9812, loss_cls: 2.9736, loss: 2.9736 +2025-05-14 00:34:48,047 - pyskl - INFO - Epoch [31][1200/2506] lr: 2.254e-02, eta: 1 day, 11:24:04, time: 0.422, data_time: 0.000, memory: 10839, top1_acc: 0.8562, top5_acc: 0.9856, loss_cls: 2.8800, loss: 2.8800 +2025-05-14 00:35:29,917 - pyskl - INFO - Epoch [31][1300/2506] lr: 2.253e-02, eta: 1 day, 11:23:19, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8488, top5_acc: 0.9788, loss_cls: 2.9052, loss: 2.9052 +2025-05-14 00:36:11,208 - pyskl - INFO - Epoch [31][1400/2506] lr: 2.253e-02, eta: 1 day, 11:22:32, time: 0.413, data_time: 0.000, memory: 10839, top1_acc: 0.8475, top5_acc: 0.9850, loss_cls: 2.8864, loss: 2.8864 +2025-05-14 00:36:53,297 - pyskl - INFO - Epoch [31][1500/2506] lr: 2.252e-02, eta: 1 day, 11:21:47, time: 0.421, data_time: 0.000, memory: 10839, top1_acc: 0.8344, top5_acc: 0.9725, loss_cls: 3.0779, loss: 3.0779 +2025-05-14 00:37:35,077 - pyskl - INFO - Epoch [31][1600/2506] lr: 2.251e-02, eta: 1 day, 11:21:02, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8450, top5_acc: 0.9744, loss_cls: 3.0068, loss: 3.0068 +2025-05-14 00:38:16,825 - pyskl - INFO - Epoch [31][1700/2506] lr: 2.251e-02, eta: 1 day, 11:20:16, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8575, top5_acc: 0.9831, loss_cls: 2.9428, loss: 2.9428 +2025-05-14 00:38:58,451 - pyskl - INFO - Epoch [31][1800/2506] lr: 2.250e-02, eta: 1 day, 11:19:30, time: 0.416, data_time: 0.000, memory: 10839, top1_acc: 0.8569, top5_acc: 0.9788, loss_cls: 2.9580, loss: 2.9580 +2025-05-14 00:39:40,149 - pyskl - INFO - Epoch [31][1900/2506] lr: 2.249e-02, eta: 1 day, 11:18:44, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8369, top5_acc: 0.9725, loss_cls: 2.9939, loss: 2.9939 +2025-05-14 00:40:21,900 - pyskl - INFO - Epoch [31][2000/2506] lr: 2.249e-02, eta: 1 day, 11:17:59, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8375, top5_acc: 0.9794, loss_cls: 3.0623, loss: 3.0623 +2025-05-14 00:41:03,618 - pyskl - INFO - Epoch [31][2100/2506] lr: 2.248e-02, eta: 1 day, 11:17:13, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8512, top5_acc: 0.9788, loss_cls: 2.9585, loss: 2.9585 +2025-05-14 00:41:45,220 - pyskl - INFO - Epoch [31][2200/2506] lr: 2.248e-02, eta: 1 day, 11:16:27, time: 0.416, data_time: 0.000, memory: 10839, top1_acc: 0.8600, top5_acc: 0.9838, loss_cls: 2.8068, loss: 2.8068 +2025-05-14 00:42:26,946 - pyskl - INFO - Epoch [31][2300/2506] lr: 2.247e-02, eta: 1 day, 11:15:41, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 2.8990, loss: 2.8990 +2025-05-14 00:43:08,928 - pyskl - INFO - Epoch [31][2400/2506] lr: 2.246e-02, eta: 1 day, 11:14:56, time: 0.420, data_time: 0.000, memory: 10839, top1_acc: 0.8344, top5_acc: 0.9762, loss_cls: 3.0236, loss: 3.0236 +2025-05-14 00:43:49,718 - pyskl - INFO - Epoch [31][2500/2506] lr: 2.246e-02, eta: 1 day, 11:14:07, time: 0.408, data_time: 0.000, memory: 10839, top1_acc: 0.8394, top5_acc: 0.9819, loss_cls: 2.9456, loss: 2.9456 +2025-05-14 00:43:52,857 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-05-14 00:45:05,676 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 00:45:05,778 - pyskl - INFO - +top1_acc 0.7972 +top5_acc 0.9672 +2025-05-14 00:45:05,782 - pyskl - INFO - Epoch(val) [31][1031] top1_acc: 0.7972, top5_acc: 0.9672 +2025-05-14 00:46:14,620 - pyskl - INFO - Epoch [32][100/2506] lr: 2.245e-02, eta: 1 day, 11:14:53, time: 0.688, data_time: 0.276, memory: 10839, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 2.9672, loss: 2.9672 +2025-05-14 00:46:55,399 - pyskl - INFO - Epoch [32][200/2506] lr: 2.244e-02, eta: 1 day, 11:14:04, time: 0.408, data_time: 0.000, memory: 10839, top1_acc: 0.8356, top5_acc: 0.9775, loss_cls: 2.9748, loss: 2.9748 +2025-05-14 00:47:37,181 - pyskl - INFO - Epoch [32][300/2506] lr: 2.244e-02, eta: 1 day, 11:13:18, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8650, top5_acc: 0.9862, loss_cls: 2.8088, loss: 2.8088 +2025-05-14 00:48:18,717 - pyskl - INFO - Epoch [32][400/2506] lr: 2.243e-02, eta: 1 day, 11:12:32, time: 0.415, data_time: 0.000, memory: 10839, top1_acc: 0.8556, top5_acc: 0.9831, loss_cls: 2.9363, loss: 2.9363 +2025-05-14 00:49:00,573 - pyskl - INFO - Epoch [32][500/2506] lr: 2.243e-02, eta: 1 day, 11:11:46, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8431, top5_acc: 0.9775, loss_cls: 2.8607, loss: 2.8607 +2025-05-14 00:49:42,805 - pyskl - INFO - Epoch [32][600/2506] lr: 2.242e-02, eta: 1 day, 11:11:03, time: 0.422, data_time: 0.000, memory: 10839, top1_acc: 0.8306, top5_acc: 0.9769, loss_cls: 2.9753, loss: 2.9753 +2025-05-14 00:50:24,730 - pyskl - INFO - Epoch [32][700/2506] lr: 2.241e-02, eta: 1 day, 11:10:18, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8488, top5_acc: 0.9825, loss_cls: 2.9941, loss: 2.9941 +2025-05-14 00:51:06,608 - pyskl - INFO - Epoch [32][800/2506] lr: 2.241e-02, eta: 1 day, 11:09:33, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8450, top5_acc: 0.9819, loss_cls: 3.0254, loss: 3.0254 +2025-05-14 00:51:48,365 - pyskl - INFO - Epoch [32][900/2506] lr: 2.240e-02, eta: 1 day, 11:08:47, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8706, top5_acc: 0.9819, loss_cls: 2.7710, loss: 2.7710 +2025-05-14 00:52:30,256 - pyskl - INFO - Epoch [32][1000/2506] lr: 2.239e-02, eta: 1 day, 11:08:02, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8469, top5_acc: 0.9825, loss_cls: 2.9208, loss: 2.9208 +2025-05-14 00:53:11,733 - pyskl - INFO - Epoch [32][1100/2506] lr: 2.239e-02, eta: 1 day, 11:07:15, time: 0.415, data_time: 0.000, memory: 10839, top1_acc: 0.8344, top5_acc: 0.9788, loss_cls: 3.0249, loss: 3.0249 +2025-05-14 00:53:53,375 - pyskl - INFO - Epoch [32][1200/2506] lr: 2.238e-02, eta: 1 day, 11:06:29, time: 0.416, data_time: 0.000, memory: 10839, top1_acc: 0.8344, top5_acc: 0.9794, loss_cls: 2.9962, loss: 2.9962 +2025-05-14 00:54:35,542 - pyskl - INFO - Epoch [32][1300/2506] lr: 2.237e-02, eta: 1 day, 11:05:45, time: 0.422, data_time: 0.000, memory: 10839, top1_acc: 0.8456, top5_acc: 0.9769, loss_cls: 2.9173, loss: 2.9173 +2025-05-14 00:55:17,062 - pyskl - INFO - Epoch [32][1400/2506] lr: 2.237e-02, eta: 1 day, 11:04:59, time: 0.415, data_time: 0.000, memory: 10839, top1_acc: 0.8662, top5_acc: 0.9819, loss_cls: 2.8755, loss: 2.8755 +2025-05-14 00:55:58,601 - pyskl - INFO - Epoch [32][1500/2506] lr: 2.236e-02, eta: 1 day, 11:04:12, time: 0.415, data_time: 0.000, memory: 10839, top1_acc: 0.8413, top5_acc: 0.9794, loss_cls: 2.9605, loss: 2.9605 +2025-05-14 00:56:40,289 - pyskl - INFO - Epoch [32][1600/2506] lr: 2.235e-02, eta: 1 day, 11:03:27, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8381, top5_acc: 0.9731, loss_cls: 3.0884, loss: 3.0884 +2025-05-14 00:57:22,119 - pyskl - INFO - Epoch [32][1700/2506] lr: 2.235e-02, eta: 1 day, 11:02:41, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8450, top5_acc: 0.9781, loss_cls: 3.0215, loss: 3.0215 +2025-05-14 00:58:03,829 - pyskl - INFO - Epoch [32][1800/2506] lr: 2.234e-02, eta: 1 day, 11:01:56, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8506, top5_acc: 0.9825, loss_cls: 2.9362, loss: 2.9362 +2025-05-14 00:58:45,705 - pyskl - INFO - Epoch [32][1900/2506] lr: 2.234e-02, eta: 1 day, 11:01:11, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8556, top5_acc: 0.9819, loss_cls: 2.9587, loss: 2.9587 +2025-05-14 00:59:27,080 - pyskl - INFO - Epoch [32][2000/2506] lr: 2.233e-02, eta: 1 day, 11:00:24, time: 0.414, data_time: 0.000, memory: 10839, top1_acc: 0.8325, top5_acc: 0.9756, loss_cls: 3.0081, loss: 3.0081 +2025-05-14 01:00:08,948 - pyskl - INFO - Epoch [32][2100/2506] lr: 2.232e-02, eta: 1 day, 10:59:39, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8431, top5_acc: 0.9769, loss_cls: 3.0924, loss: 3.0924 +2025-05-14 01:00:50,757 - pyskl - INFO - Epoch [32][2200/2506] lr: 2.232e-02, eta: 1 day, 10:58:53, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8444, top5_acc: 0.9769, loss_cls: 2.8926, loss: 2.8926 +2025-05-14 01:01:32,632 - pyskl - INFO - Epoch [32][2300/2506] lr: 2.231e-02, eta: 1 day, 10:58:08, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8606, top5_acc: 0.9850, loss_cls: 2.7978, loss: 2.7978 +2025-05-14 01:02:14,593 - pyskl - INFO - Epoch [32][2400/2506] lr: 2.230e-02, eta: 1 day, 10:57:24, time: 0.420, data_time: 0.000, memory: 10839, top1_acc: 0.8462, top5_acc: 0.9831, loss_cls: 2.9423, loss: 2.9423 +2025-05-14 01:02:55,818 - pyskl - INFO - Epoch [32][2500/2506] lr: 2.230e-02, eta: 1 day, 10:56:36, time: 0.412, data_time: 0.000, memory: 10839, top1_acc: 0.8575, top5_acc: 0.9812, loss_cls: 2.8967, loss: 2.8967 +2025-05-14 01:02:58,946 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-05-14 01:04:12,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 01:04:12,314 - pyskl - INFO - +top1_acc 0.8216 +top5_acc 0.9771 +2025-05-14 01:04:12,317 - pyskl - INFO - Epoch(val) [32][1031] top1_acc: 0.8216, top5_acc: 0.9771 +2025-05-14 01:05:19,395 - pyskl - INFO - Epoch [33][100/2506] lr: 2.229e-02, eta: 1 day, 10:57:12, time: 0.671, data_time: 0.260, memory: 10839, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 2.8851, loss: 2.8851 +2025-05-14 01:06:00,772 - pyskl - INFO - Epoch [33][200/2506] lr: 2.228e-02, eta: 1 day, 10:56:25, time: 0.414, data_time: 0.000, memory: 10839, top1_acc: 0.8531, top5_acc: 0.9850, loss_cls: 2.9337, loss: 2.9337 +2025-05-14 01:06:42,222 - pyskl - INFO - Epoch [33][300/2506] lr: 2.228e-02, eta: 1 day, 10:55:39, time: 0.414, data_time: 0.000, memory: 10839, top1_acc: 0.8562, top5_acc: 0.9794, loss_cls: 2.8947, loss: 2.8947 +2025-05-14 01:07:24,000 - pyskl - INFO - Epoch [33][400/2506] lr: 2.227e-02, eta: 1 day, 10:54:53, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8619, top5_acc: 0.9819, loss_cls: 2.9117, loss: 2.9117 +2025-05-14 01:08:06,085 - pyskl - INFO - Epoch [33][500/2506] lr: 2.226e-02, eta: 1 day, 10:54:09, time: 0.421, data_time: 0.000, memory: 10839, top1_acc: 0.8638, top5_acc: 0.9838, loss_cls: 2.8519, loss: 2.8519 +2025-05-14 01:08:48,005 - pyskl - INFO - Epoch [33][600/2506] lr: 2.226e-02, eta: 1 day, 10:53:24, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8375, top5_acc: 0.9800, loss_cls: 2.9734, loss: 2.9734 +2025-05-14 01:09:30,125 - pyskl - INFO - Epoch [33][700/2506] lr: 2.225e-02, eta: 1 day, 10:52:40, time: 0.421, data_time: 0.000, memory: 10839, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 2.9205, loss: 2.9205 +2025-05-14 01:10:10,371 - pyskl - INFO - Epoch [33][800/2506] lr: 2.224e-02, eta: 1 day, 10:51:49, time: 0.402, data_time: 0.000, memory: 10839, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 2.8132, loss: 2.8132 +2025-05-14 01:10:50,598 - pyskl - INFO - Epoch [33][900/2506] lr: 2.224e-02, eta: 1 day, 10:50:58, time: 0.402, data_time: 0.000, memory: 10839, top1_acc: 0.8600, top5_acc: 0.9781, loss_cls: 2.8883, loss: 2.8883 +2025-05-14 01:11:31,961 - pyskl - INFO - Epoch [33][1000/2506] lr: 2.223e-02, eta: 1 day, 10:50:11, time: 0.414, data_time: 0.000, memory: 10839, top1_acc: 0.8619, top5_acc: 0.9788, loss_cls: 2.8987, loss: 2.8987 +2025-05-14 01:12:13,784 - pyskl - INFO - Epoch [33][1100/2506] lr: 2.222e-02, eta: 1 day, 10:49:26, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8575, top5_acc: 0.9775, loss_cls: 2.9096, loss: 2.9096 +2025-05-14 01:12:55,504 - pyskl - INFO - Epoch [33][1200/2506] lr: 2.222e-02, eta: 1 day, 10:48:40, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8375, top5_acc: 0.9762, loss_cls: 2.9862, loss: 2.9862 +2025-05-14 01:13:37,276 - pyskl - INFO - Epoch [33][1300/2506] lr: 2.221e-02, eta: 1 day, 10:47:55, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8512, top5_acc: 0.9769, loss_cls: 2.9514, loss: 2.9514 +2025-05-14 01:14:19,303 - pyskl - INFO - Epoch [33][1400/2506] lr: 2.220e-02, eta: 1 day, 10:47:10, time: 0.420, data_time: 0.000, memory: 10839, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 2.8411, loss: 2.8411 +2025-05-14 01:15:01,473 - pyskl - INFO - Epoch [33][1500/2506] lr: 2.220e-02, eta: 1 day, 10:46:26, time: 0.422, data_time: 0.000, memory: 10839, top1_acc: 0.8506, top5_acc: 0.9825, loss_cls: 2.9212, loss: 2.9212 +2025-05-14 01:15:43,163 - pyskl - INFO - Epoch [33][1600/2506] lr: 2.219e-02, eta: 1 day, 10:45:41, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8606, top5_acc: 0.9731, loss_cls: 2.9886, loss: 2.9886 +2025-05-14 01:16:24,721 - pyskl - INFO - Epoch [33][1700/2506] lr: 2.218e-02, eta: 1 day, 10:44:54, time: 0.416, data_time: 0.000, memory: 10839, top1_acc: 0.8675, top5_acc: 0.9788, loss_cls: 2.8492, loss: 2.8492 +2025-05-14 01:17:06,533 - pyskl - INFO - Epoch [33][1800/2506] lr: 2.218e-02, eta: 1 day, 10:44:09, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8400, top5_acc: 0.9769, loss_cls: 3.0056, loss: 3.0056 +2025-05-14 01:17:48,381 - pyskl - INFO - Epoch [33][1900/2506] lr: 2.217e-02, eta: 1 day, 10:43:24, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8562, top5_acc: 0.9875, loss_cls: 2.8035, loss: 2.8035 +2025-05-14 01:18:30,690 - pyskl - INFO - Epoch [33][2000/2506] lr: 2.217e-02, eta: 1 day, 10:42:41, time: 0.423, data_time: 0.000, memory: 10839, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 2.8272, loss: 2.8272 +2025-05-14 01:19:12,176 - pyskl - INFO - Epoch [33][2100/2506] lr: 2.216e-02, eta: 1 day, 10:41:55, time: 0.415, data_time: 0.000, memory: 10839, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 2.9028, loss: 2.9028 +2025-05-14 01:19:54,325 - pyskl - INFO - Epoch [33][2200/2506] lr: 2.215e-02, eta: 1 day, 10:41:11, time: 0.421, data_time: 0.000, memory: 10839, top1_acc: 0.8444, top5_acc: 0.9788, loss_cls: 2.9680, loss: 2.9680 +2025-05-14 01:20:36,461 - pyskl - INFO - Epoch [33][2300/2506] lr: 2.215e-02, eta: 1 day, 10:40:27, time: 0.421, data_time: 0.000, memory: 10839, top1_acc: 0.8300, top5_acc: 0.9750, loss_cls: 3.1080, loss: 3.1080 +2025-05-14 01:21:18,313 - pyskl - INFO - Epoch [33][2400/2506] lr: 2.214e-02, eta: 1 day, 10:39:42, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8544, top5_acc: 0.9800, loss_cls: 2.8977, loss: 2.8977 +2025-05-14 01:22:00,104 - pyskl - INFO - Epoch [33][2500/2506] lr: 2.213e-02, eta: 1 day, 10:38:56, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 2.8777, loss: 2.8777 +2025-05-14 01:22:03,283 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-05-14 01:23:16,153 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 01:23:16,253 - pyskl - INFO - +top1_acc 0.8140 +top5_acc 0.9704 +2025-05-14 01:23:16,258 - pyskl - INFO - Epoch(val) [33][1031] top1_acc: 0.8140, top5_acc: 0.9704 +2025-05-14 01:24:23,481 - pyskl - INFO - Epoch [34][100/2506] lr: 2.212e-02, eta: 1 day, 10:39:30, time: 0.672, data_time: 0.258, memory: 10839, top1_acc: 0.8588, top5_acc: 0.9850, loss_cls: 2.9538, loss: 2.9538 +2025-05-14 01:25:05,730 - pyskl - INFO - Epoch [34][200/2506] lr: 2.212e-02, eta: 1 day, 10:38:46, time: 0.422, data_time: 0.000, memory: 10839, top1_acc: 0.8556, top5_acc: 0.9788, loss_cls: 2.9206, loss: 2.9206 +2025-05-14 01:25:47,756 - pyskl - INFO - Epoch [34][300/2506] lr: 2.211e-02, eta: 1 day, 10:38:01, time: 0.420, data_time: 0.000, memory: 10839, top1_acc: 0.8569, top5_acc: 0.9844, loss_cls: 2.8731, loss: 2.8731 +2025-05-14 01:26:29,568 - pyskl - INFO - Epoch [34][400/2506] lr: 2.210e-02, eta: 1 day, 10:37:16, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8538, top5_acc: 0.9775, loss_cls: 2.9240, loss: 2.9240 +2025-05-14 01:27:11,219 - pyskl - INFO - Epoch [34][500/2506] lr: 2.210e-02, eta: 1 day, 10:36:30, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8444, top5_acc: 0.9844, loss_cls: 2.9100, loss: 2.9100 +2025-05-14 01:27:52,709 - pyskl - INFO - Epoch [34][600/2506] lr: 2.209e-02, eta: 1 day, 10:35:44, time: 0.415, data_time: 0.000, memory: 10839, top1_acc: 0.8544, top5_acc: 0.9769, loss_cls: 2.9227, loss: 2.9227 +2025-05-14 01:28:34,972 - pyskl - INFO - Epoch [34][700/2506] lr: 2.208e-02, eta: 1 day, 10:35:00, time: 0.423, data_time: 0.000, memory: 10839, top1_acc: 0.8494, top5_acc: 0.9838, loss_cls: 2.9239, loss: 2.9239 +2025-05-14 01:29:16,146 - pyskl - INFO - Epoch [34][800/2506] lr: 2.208e-02, eta: 1 day, 10:34:13, time: 0.412, data_time: 0.000, memory: 10839, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 2.7877, loss: 2.7877 +2025-05-14 01:29:57,702 - pyskl - INFO - Epoch [34][900/2506] lr: 2.207e-02, eta: 1 day, 10:33:27, time: 0.416, data_time: 0.000, memory: 10839, top1_acc: 0.8363, top5_acc: 0.9731, loss_cls: 2.9915, loss: 2.9915 +2025-05-14 01:30:38,294 - pyskl - INFO - Epoch [34][1000/2506] lr: 2.206e-02, eta: 1 day, 10:32:37, time: 0.406, data_time: 0.000, memory: 10839, top1_acc: 0.8506, top5_acc: 0.9831, loss_cls: 2.8753, loss: 2.8753 +2025-05-14 01:31:19,303 - pyskl - INFO - Epoch [34][1100/2506] lr: 2.206e-02, eta: 1 day, 10:31:49, time: 0.410, data_time: 0.000, memory: 10839, top1_acc: 0.8600, top5_acc: 0.9812, loss_cls: 2.8503, loss: 2.8503 +2025-05-14 01:32:00,483 - pyskl - INFO - Epoch [34][1200/2506] lr: 2.205e-02, eta: 1 day, 10:31:02, time: 0.412, data_time: 0.000, memory: 10839, top1_acc: 0.8469, top5_acc: 0.9800, loss_cls: 2.9052, loss: 2.9052 +2025-05-14 01:32:41,578 - pyskl - INFO - Epoch [34][1300/2506] lr: 2.204e-02, eta: 1 day, 10:30:14, time: 0.411, data_time: 0.000, memory: 10839, top1_acc: 0.8394, top5_acc: 0.9856, loss_cls: 2.9404, loss: 2.9404 +2025-05-14 01:33:23,608 - pyskl - INFO - Epoch [34][1400/2506] lr: 2.204e-02, eta: 1 day, 10:29:30, time: 0.420, data_time: 0.000, memory: 10839, top1_acc: 0.8475, top5_acc: 0.9750, loss_cls: 2.9475, loss: 2.9475 +2025-05-14 01:34:05,371 - pyskl - INFO - Epoch [34][1500/2506] lr: 2.203e-02, eta: 1 day, 10:28:45, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8725, top5_acc: 0.9831, loss_cls: 2.8427, loss: 2.8427 +2025-05-14 01:34:47,344 - pyskl - INFO - Epoch [34][1600/2506] lr: 2.202e-02, eta: 1 day, 10:28:00, time: 0.420, data_time: 0.000, memory: 10839, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 2.8952, loss: 2.8952 +2025-05-14 01:35:28,634 - pyskl - INFO - Epoch [34][1700/2506] lr: 2.202e-02, eta: 1 day, 10:27:13, time: 0.413, data_time: 0.000, memory: 10839, top1_acc: 0.8512, top5_acc: 0.9850, loss_cls: 2.9439, loss: 2.9439 +2025-05-14 01:36:08,875 - pyskl - INFO - Epoch [34][1800/2506] lr: 2.201e-02, eta: 1 day, 10:26:23, time: 0.402, data_time: 0.000, memory: 10839, top1_acc: 0.8581, top5_acc: 0.9844, loss_cls: 2.9647, loss: 2.9647 +2025-05-14 01:36:49,601 - pyskl - INFO - Epoch [34][1900/2506] lr: 2.200e-02, eta: 1 day, 10:25:34, time: 0.407, data_time: 0.000, memory: 10839, top1_acc: 0.8656, top5_acc: 0.9775, loss_cls: 2.8482, loss: 2.8482 +2025-05-14 01:37:31,288 - pyskl - INFO - Epoch [34][2000/2506] lr: 2.200e-02, eta: 1 day, 10:24:48, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8494, top5_acc: 0.9812, loss_cls: 2.9259, loss: 2.9259 +2025-05-14 01:38:12,988 - pyskl - INFO - Epoch [34][2100/2506] lr: 2.199e-02, eta: 1 day, 10:24:03, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8475, top5_acc: 0.9825, loss_cls: 2.9887, loss: 2.9887 +2025-05-14 01:38:54,764 - pyskl - INFO - Epoch [34][2200/2506] lr: 2.198e-02, eta: 1 day, 10:23:18, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8431, top5_acc: 0.9850, loss_cls: 2.8917, loss: 2.8917 +2025-05-14 01:39:36,944 - pyskl - INFO - Epoch [34][2300/2506] lr: 2.198e-02, eta: 1 day, 10:22:34, time: 0.422, data_time: 0.000, memory: 10839, top1_acc: 0.8394, top5_acc: 0.9806, loss_cls: 2.9907, loss: 2.9907 +2025-05-14 01:40:18,876 - pyskl - INFO - Epoch [34][2400/2506] lr: 2.197e-02, eta: 1 day, 10:21:49, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8681, top5_acc: 0.9838, loss_cls: 2.8291, loss: 2.8291 +2025-05-14 01:41:00,768 - pyskl - INFO - Epoch [34][2500/2506] lr: 2.196e-02, eta: 1 day, 10:21:05, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8469, top5_acc: 0.9794, loss_cls: 2.9500, loss: 2.9500 +2025-05-14 01:41:03,928 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-05-14 01:42:15,923 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 01:42:15,992 - pyskl - INFO - +top1_acc 0.8320 +top5_acc 0.9712 +2025-05-14 01:42:16,035 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_28.pth was removed +2025-05-14 01:42:17,401 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_34.pth. +2025-05-14 01:42:17,401 - pyskl - INFO - Best top1_acc is 0.8320 at 34 epoch. +2025-05-14 01:42:17,404 - pyskl - INFO - Epoch(val) [34][1031] top1_acc: 0.8320, top5_acc: 0.9712 +2025-05-14 01:43:26,485 - pyskl - INFO - Epoch [35][100/2506] lr: 2.196e-02, eta: 1 day, 10:21:41, time: 0.691, data_time: 0.273, memory: 10839, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 2.7743, loss: 2.7743 +2025-05-14 01:44:08,301 - pyskl - INFO - Epoch [35][200/2506] lr: 2.195e-02, eta: 1 day, 10:20:56, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8556, top5_acc: 0.9756, loss_cls: 2.9445, loss: 2.9445 +2025-05-14 01:44:49,786 - pyskl - INFO - Epoch [35][300/2506] lr: 2.194e-02, eta: 1 day, 10:20:10, time: 0.415, data_time: 0.000, memory: 10839, top1_acc: 0.8688, top5_acc: 0.9856, loss_cls: 2.7811, loss: 2.7811 +2025-05-14 01:45:31,964 - pyskl - INFO - Epoch [35][400/2506] lr: 2.194e-02, eta: 1 day, 10:19:26, time: 0.422, data_time: 0.000, memory: 10839, top1_acc: 0.8569, top5_acc: 0.9794, loss_cls: 2.9121, loss: 2.9121 +2025-05-14 01:46:13,928 - pyskl - INFO - Epoch [35][500/2506] lr: 2.193e-02, eta: 1 day, 10:18:41, time: 0.420, data_time: 0.000, memory: 10839, top1_acc: 0.8450, top5_acc: 0.9838, loss_cls: 2.9000, loss: 2.9000 +2025-05-14 01:46:55,424 - pyskl - INFO - Epoch [35][600/2506] lr: 2.192e-02, eta: 1 day, 10:17:55, time: 0.415, data_time: 0.000, memory: 10839, top1_acc: 0.8569, top5_acc: 0.9756, loss_cls: 2.9222, loss: 2.9222 +2025-05-14 01:47:36,246 - pyskl - INFO - Epoch [35][700/2506] lr: 2.191e-02, eta: 1 day, 10:17:07, time: 0.408, data_time: 0.000, memory: 10839, top1_acc: 0.8594, top5_acc: 0.9856, loss_cls: 2.9132, loss: 2.9132 +2025-05-14 01:48:16,810 - pyskl - INFO - Epoch [35][800/2506] lr: 2.191e-02, eta: 1 day, 10:16:18, time: 0.406, data_time: 0.000, memory: 10839, top1_acc: 0.8606, top5_acc: 0.9794, loss_cls: 2.8218, loss: 2.8218 +2025-05-14 01:48:57,837 - pyskl - INFO - Epoch [35][900/2506] lr: 2.190e-02, eta: 1 day, 10:15:30, time: 0.410, data_time: 0.000, memory: 10839, top1_acc: 0.8762, top5_acc: 0.9850, loss_cls: 2.8098, loss: 2.8098 +2025-05-14 01:49:39,498 - pyskl - INFO - Epoch [35][1000/2506] lr: 2.189e-02, eta: 1 day, 10:14:44, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8512, top5_acc: 0.9812, loss_cls: 2.9275, loss: 2.9275 +2025-05-14 01:50:20,667 - pyskl - INFO - Epoch [35][1100/2506] lr: 2.189e-02, eta: 1 day, 10:13:57, time: 0.412, data_time: 0.000, memory: 10839, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 2.9279, loss: 2.9279 +2025-05-14 01:51:01,898 - pyskl - INFO - Epoch [35][1200/2506] lr: 2.188e-02, eta: 1 day, 10:13:10, time: 0.412, data_time: 0.000, memory: 10839, top1_acc: 0.8494, top5_acc: 0.9819, loss_cls: 2.8779, loss: 2.8779 +2025-05-14 01:51:42,323 - pyskl - INFO - Epoch [35][1300/2506] lr: 2.187e-02, eta: 1 day, 10:12:20, time: 0.404, data_time: 0.000, memory: 10839, top1_acc: 0.8575, top5_acc: 0.9794, loss_cls: 2.9590, loss: 2.9590 +2025-05-14 01:52:22,817 - pyskl - INFO - Epoch [35][1400/2506] lr: 2.187e-02, eta: 1 day, 10:11:31, time: 0.405, data_time: 0.000, memory: 10839, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 2.9070, loss: 2.9070 +2025-05-14 01:53:03,784 - pyskl - INFO - Epoch [35][1500/2506] lr: 2.186e-02, eta: 1 day, 10:10:43, time: 0.410, data_time: 0.000, memory: 10839, top1_acc: 0.8488, top5_acc: 0.9744, loss_cls: 2.9673, loss: 2.9673 +2025-05-14 01:53:45,341 - pyskl - INFO - Epoch [35][1600/2506] lr: 2.185e-02, eta: 1 day, 10:09:57, time: 0.416, data_time: 0.000, memory: 10839, top1_acc: 0.8488, top5_acc: 0.9750, loss_cls: 2.9010, loss: 2.9010 +2025-05-14 01:54:27,065 - pyskl - INFO - Epoch [35][1700/2506] lr: 2.185e-02, eta: 1 day, 10:09:12, time: 0.417, data_time: 0.000, memory: 10839, top1_acc: 0.8494, top5_acc: 0.9788, loss_cls: 2.8831, loss: 2.8831 +2025-05-14 01:55:08,336 - pyskl - INFO - Epoch [35][1800/2506] lr: 2.184e-02, eta: 1 day, 10:08:25, time: 0.413, data_time: 0.000, memory: 10839, top1_acc: 0.8525, top5_acc: 0.9800, loss_cls: 2.8941, loss: 2.8941 +2025-05-14 01:55:49,829 - pyskl - INFO - Epoch [35][1900/2506] lr: 2.183e-02, eta: 1 day, 10:07:39, time: 0.415, data_time: 0.000, memory: 10839, top1_acc: 0.8400, top5_acc: 0.9806, loss_cls: 2.8790, loss: 2.8790 +2025-05-14 01:56:31,434 - pyskl - INFO - Epoch [35][2000/2506] lr: 2.182e-02, eta: 1 day, 10:06:53, time: 0.416, data_time: 0.000, memory: 10839, top1_acc: 0.8606, top5_acc: 0.9838, loss_cls: 2.8319, loss: 2.8319 +2025-05-14 01:57:13,264 - pyskl - INFO - Epoch [35][2100/2506] lr: 2.182e-02, eta: 1 day, 10:06:09, time: 0.418, data_time: 0.000, memory: 10839, top1_acc: 0.8525, top5_acc: 0.9812, loss_cls: 2.9308, loss: 2.9308 +2025-05-14 01:57:55,223 - pyskl - INFO - Epoch [35][2200/2506] lr: 2.181e-02, eta: 1 day, 10:05:24, time: 0.420, data_time: 0.000, memory: 10839, top1_acc: 0.8500, top5_acc: 0.9800, loss_cls: 2.9663, loss: 2.9663 +2025-05-14 01:58:37,100 - pyskl - INFO - Epoch [35][2300/2506] lr: 2.180e-02, eta: 1 day, 10:04:39, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8619, top5_acc: 0.9800, loss_cls: 2.9053, loss: 2.9053 +2025-05-14 01:59:18,965 - pyskl - INFO - Epoch [35][2400/2506] lr: 2.180e-02, eta: 1 day, 10:03:55, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8538, top5_acc: 0.9800, loss_cls: 2.9242, loss: 2.9242 +2025-05-14 02:00:00,830 - pyskl - INFO - Epoch [35][2500/2506] lr: 2.179e-02, eta: 1 day, 10:03:10, time: 0.419, data_time: 0.000, memory: 10839, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 2.9236, loss: 2.9236 +2025-05-14 02:00:03,994 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-05-14 02:01:17,096 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 02:01:17,176 - pyskl - INFO - +top1_acc 0.8282 +top5_acc 0.9730 +2025-05-14 02:01:17,178 - pyskl - INFO - Epoch(val) [35][1031] top1_acc: 0.8282, top5_acc: 0.9730 +2025-05-14 02:02:26,063 - pyskl - INFO - Epoch [36][100/2506] lr: 2.178e-02, eta: 1 day, 10:03:43, time: 0.689, data_time: 0.278, memory: 10840, top1_acc: 0.8738, top5_acc: 0.9869, loss_cls: 2.8242, loss: 2.8242 +2025-05-14 02:03:07,452 - pyskl - INFO - Epoch [36][200/2506] lr: 2.178e-02, eta: 1 day, 10:02:56, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 2.7813, loss: 2.7813 +2025-05-14 02:03:48,876 - pyskl - INFO - Epoch [36][300/2506] lr: 2.177e-02, eta: 1 day, 10:02:10, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8606, top5_acc: 0.9925, loss_cls: 2.8610, loss: 2.8610 +2025-05-14 02:04:30,620 - pyskl - INFO - Epoch [36][400/2506] lr: 2.176e-02, eta: 1 day, 10:01:25, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8544, top5_acc: 0.9850, loss_cls: 2.9030, loss: 2.9030 +2025-05-14 02:05:12,334 - pyskl - INFO - Epoch [36][500/2506] lr: 2.175e-02, eta: 1 day, 10:00:40, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8525, top5_acc: 0.9756, loss_cls: 2.8987, loss: 2.8987 +2025-05-14 02:05:54,176 - pyskl - INFO - Epoch [36][600/2506] lr: 2.175e-02, eta: 1 day, 9:59:55, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8769, top5_acc: 0.9825, loss_cls: 2.7963, loss: 2.7963 +2025-05-14 02:06:36,004 - pyskl - INFO - Epoch [36][700/2506] lr: 2.174e-02, eta: 1 day, 9:59:10, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 2.8846, loss: 2.8846 +2025-05-14 02:07:16,800 - pyskl - INFO - Epoch [36][800/2506] lr: 2.173e-02, eta: 1 day, 9:58:21, time: 0.408, data_time: 0.000, memory: 10840, top1_acc: 0.8512, top5_acc: 0.9788, loss_cls: 2.9516, loss: 2.9516 +2025-05-14 02:07:57,904 - pyskl - INFO - Epoch [36][900/2506] lr: 2.173e-02, eta: 1 day, 9:57:34, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8562, top5_acc: 0.9781, loss_cls: 2.8863, loss: 2.8863 +2025-05-14 02:08:39,278 - pyskl - INFO - Epoch [36][1000/2506] lr: 2.172e-02, eta: 1 day, 9:56:48, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9869, loss_cls: 2.8059, loss: 2.8059 +2025-05-14 02:09:19,796 - pyskl - INFO - Epoch [36][1100/2506] lr: 2.171e-02, eta: 1 day, 9:55:59, time: 0.405, data_time: 0.000, memory: 10840, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 2.8325, loss: 2.8325 +2025-05-14 02:10:00,393 - pyskl - INFO - Epoch [36][1200/2506] lr: 2.171e-02, eta: 1 day, 9:55:10, time: 0.406, data_time: 0.000, memory: 10840, top1_acc: 0.8525, top5_acc: 0.9850, loss_cls: 2.9681, loss: 2.9681 +2025-05-14 02:10:42,244 - pyskl - INFO - Epoch [36][1300/2506] lr: 2.170e-02, eta: 1 day, 9:54:25, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8556, top5_acc: 0.9812, loss_cls: 2.8154, loss: 2.8154 +2025-05-14 02:11:23,759 - pyskl - INFO - Epoch [36][1400/2506] lr: 2.169e-02, eta: 1 day, 9:53:39, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8469, top5_acc: 0.9819, loss_cls: 2.9538, loss: 2.9538 +2025-05-14 02:12:04,875 - pyskl - INFO - Epoch [36][1500/2506] lr: 2.168e-02, eta: 1 day, 9:52:52, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8475, top5_acc: 0.9844, loss_cls: 2.8664, loss: 2.8664 +2025-05-14 02:12:46,040 - pyskl - INFO - Epoch [36][1600/2506] lr: 2.168e-02, eta: 1 day, 9:52:05, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8363, top5_acc: 0.9806, loss_cls: 2.9519, loss: 2.9519 +2025-05-14 02:13:26,781 - pyskl - INFO - Epoch [36][1700/2506] lr: 2.167e-02, eta: 1 day, 9:51:17, time: 0.407, data_time: 0.000, memory: 10840, top1_acc: 0.8494, top5_acc: 0.9825, loss_cls: 2.9374, loss: 2.9374 +2025-05-14 02:14:08,252 - pyskl - INFO - Epoch [36][1800/2506] lr: 2.166e-02, eta: 1 day, 9:50:31, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8550, top5_acc: 0.9731, loss_cls: 2.9241, loss: 2.9241 +2025-05-14 02:14:49,991 - pyskl - INFO - Epoch [36][1900/2506] lr: 2.166e-02, eta: 1 day, 9:49:46, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8438, top5_acc: 0.9788, loss_cls: 2.9114, loss: 2.9114 +2025-05-14 02:15:30,814 - pyskl - INFO - Epoch [36][2000/2506] lr: 2.165e-02, eta: 1 day, 9:48:58, time: 0.408, data_time: 0.000, memory: 10840, top1_acc: 0.8469, top5_acc: 0.9831, loss_cls: 2.8386, loss: 2.8386 +2025-05-14 02:16:12,252 - pyskl - INFO - Epoch [36][2100/2506] lr: 2.164e-02, eta: 1 day, 9:48:12, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 2.7941, loss: 2.7941 +2025-05-14 02:16:54,212 - pyskl - INFO - Epoch [36][2200/2506] lr: 2.163e-02, eta: 1 day, 9:47:27, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8556, top5_acc: 0.9838, loss_cls: 2.8481, loss: 2.8481 +2025-05-14 02:17:35,642 - pyskl - INFO - Epoch [36][2300/2506] lr: 2.163e-02, eta: 1 day, 9:46:41, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8588, top5_acc: 0.9844, loss_cls: 2.8389, loss: 2.8389 +2025-05-14 02:18:16,893 - pyskl - INFO - Epoch [36][2400/2506] lr: 2.162e-02, eta: 1 day, 9:45:55, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8762, top5_acc: 0.9825, loss_cls: 2.7537, loss: 2.7537 +2025-05-14 02:18:58,445 - pyskl - INFO - Epoch [36][2500/2506] lr: 2.161e-02, eta: 1 day, 9:45:09, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8500, top5_acc: 0.9838, loss_cls: 2.8886, loss: 2.8886 +2025-05-14 02:19:01,804 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-05-14 02:20:14,473 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 02:20:14,545 - pyskl - INFO - +top1_acc 0.8287 +top5_acc 0.9726 +2025-05-14 02:20:14,548 - pyskl - INFO - Epoch(val) [36][1031] top1_acc: 0.8287, top5_acc: 0.9726 +2025-05-14 02:21:23,636 - pyskl - INFO - Epoch [37][100/2506] lr: 2.161e-02, eta: 1 day, 9:45:40, time: 0.691, data_time: 0.272, memory: 10840, top1_acc: 0.8562, top5_acc: 0.9850, loss_cls: 2.8318, loss: 2.8318 +2025-05-14 02:22:05,126 - pyskl - INFO - Epoch [37][200/2506] lr: 2.160e-02, eta: 1 day, 9:44:54, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9888, loss_cls: 2.7154, loss: 2.7154 +2025-05-14 02:22:45,195 - pyskl - INFO - Epoch [37][300/2506] lr: 2.159e-02, eta: 1 day, 9:44:03, time: 0.401, data_time: 0.000, memory: 10840, top1_acc: 0.8569, top5_acc: 0.9800, loss_cls: 2.9605, loss: 2.9605 +2025-05-14 02:23:27,148 - pyskl - INFO - Epoch [37][400/2506] lr: 2.158e-02, eta: 1 day, 9:43:19, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8469, top5_acc: 0.9825, loss_cls: 2.9000, loss: 2.9000 +2025-05-14 02:24:09,336 - pyskl - INFO - Epoch [37][500/2506] lr: 2.158e-02, eta: 1 day, 9:42:35, time: 0.422, data_time: 0.000, memory: 10840, top1_acc: 0.8581, top5_acc: 0.9812, loss_cls: 2.8575, loss: 2.8575 +2025-05-14 02:24:50,530 - pyskl - INFO - Epoch [37][600/2506] lr: 2.157e-02, eta: 1 day, 9:41:48, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9812, loss_cls: 2.7942, loss: 2.7942 +2025-05-14 02:25:31,536 - pyskl - INFO - Epoch [37][700/2506] lr: 2.156e-02, eta: 1 day, 9:41:01, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9838, loss_cls: 2.8253, loss: 2.8253 +2025-05-14 02:26:13,456 - pyskl - INFO - Epoch [37][800/2506] lr: 2.155e-02, eta: 1 day, 9:40:16, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8538, top5_acc: 0.9831, loss_cls: 2.8951, loss: 2.8951 +2025-05-14 02:26:55,172 - pyskl - INFO - Epoch [37][900/2506] lr: 2.155e-02, eta: 1 day, 9:39:31, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 2.8379, loss: 2.8379 +2025-05-14 02:27:37,022 - pyskl - INFO - Epoch [37][1000/2506] lr: 2.154e-02, eta: 1 day, 9:38:47, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8525, top5_acc: 0.9806, loss_cls: 2.9032, loss: 2.9032 +2025-05-14 02:28:17,841 - pyskl - INFO - Epoch [37][1100/2506] lr: 2.153e-02, eta: 1 day, 9:37:59, time: 0.408, data_time: 0.000, memory: 10840, top1_acc: 0.8500, top5_acc: 0.9750, loss_cls: 2.9357, loss: 2.9357 +2025-05-14 02:28:58,089 - pyskl - INFO - Epoch [37][1200/2506] lr: 2.153e-02, eta: 1 day, 9:37:09, time: 0.402, data_time: 0.000, memory: 10840, top1_acc: 0.8462, top5_acc: 0.9812, loss_cls: 2.9080, loss: 2.9080 +2025-05-14 02:29:39,752 - pyskl - INFO - Epoch [37][1300/2506] lr: 2.152e-02, eta: 1 day, 9:36:24, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 2.8842, loss: 2.8842 +2025-05-14 02:30:21,521 - pyskl - INFO - Epoch [37][1400/2506] lr: 2.151e-02, eta: 1 day, 9:35:39, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 2.8761, loss: 2.8761 +2025-05-14 02:31:03,430 - pyskl - INFO - Epoch [37][1500/2506] lr: 2.150e-02, eta: 1 day, 9:34:54, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8538, top5_acc: 0.9762, loss_cls: 2.9177, loss: 2.9177 +2025-05-14 02:31:44,655 - pyskl - INFO - Epoch [37][1600/2506] lr: 2.150e-02, eta: 1 day, 9:34:08, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8525, top5_acc: 0.9800, loss_cls: 3.0064, loss: 3.0064 +2025-05-14 02:32:25,955 - pyskl - INFO - Epoch [37][1700/2506] lr: 2.149e-02, eta: 1 day, 9:33:21, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8488, top5_acc: 0.9819, loss_cls: 2.9989, loss: 2.9989 +2025-05-14 02:33:06,980 - pyskl - INFO - Epoch [37][1800/2506] lr: 2.148e-02, eta: 1 day, 9:32:34, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 2.8501, loss: 2.8501 +2025-05-14 02:33:49,100 - pyskl - INFO - Epoch [37][1900/2506] lr: 2.148e-02, eta: 1 day, 9:31:50, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8506, top5_acc: 0.9819, loss_cls: 2.8603, loss: 2.8603 +2025-05-14 02:34:31,054 - pyskl - INFO - Epoch [37][2000/2506] lr: 2.147e-02, eta: 1 day, 9:31:06, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8538, top5_acc: 0.9862, loss_cls: 2.9025, loss: 2.9025 +2025-05-14 02:35:13,043 - pyskl - INFO - Epoch [37][2100/2506] lr: 2.146e-02, eta: 1 day, 9:30:22, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8313, top5_acc: 0.9788, loss_cls: 3.0670, loss: 3.0670 +2025-05-14 02:35:55,041 - pyskl - INFO - Epoch [37][2200/2506] lr: 2.145e-02, eta: 1 day, 9:29:37, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 2.9375, loss: 2.9375 +2025-05-14 02:36:36,879 - pyskl - INFO - Epoch [37][2300/2506] lr: 2.145e-02, eta: 1 day, 9:28:53, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8575, top5_acc: 0.9769, loss_cls: 2.8034, loss: 2.8034 +2025-05-14 02:37:18,398 - pyskl - INFO - Epoch [37][2400/2506] lr: 2.144e-02, eta: 1 day, 9:28:07, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8500, top5_acc: 0.9781, loss_cls: 2.9381, loss: 2.9381 +2025-05-14 02:38:00,088 - pyskl - INFO - Epoch [37][2500/2506] lr: 2.143e-02, eta: 1 day, 9:27:22, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8494, top5_acc: 0.9769, loss_cls: 2.8339, loss: 2.8339 +2025-05-14 02:38:03,290 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-05-14 02:39:14,515 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 02:39:14,586 - pyskl - INFO - +top1_acc 0.8261 +top5_acc 0.9727 +2025-05-14 02:39:14,588 - pyskl - INFO - Epoch(val) [37][1031] top1_acc: 0.8261, top5_acc: 0.9727 +2025-05-14 02:40:23,089 - pyskl - INFO - Epoch [38][100/2506] lr: 2.142e-02, eta: 1 day, 9:27:48, time: 0.685, data_time: 0.271, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9844, loss_cls: 2.7728, loss: 2.7728 +2025-05-14 02:41:05,209 - pyskl - INFO - Epoch [38][200/2506] lr: 2.142e-02, eta: 1 day, 9:27:04, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9894, loss_cls: 2.8312, loss: 2.8312 +2025-05-14 02:41:46,724 - pyskl - INFO - Epoch [38][300/2506] lr: 2.141e-02, eta: 1 day, 9:26:19, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8400, top5_acc: 0.9769, loss_cls: 2.8376, loss: 2.8376 +2025-05-14 02:42:28,627 - pyskl - INFO - Epoch [38][400/2506] lr: 2.140e-02, eta: 1 day, 9:25:34, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8506, top5_acc: 0.9831, loss_cls: 2.9050, loss: 2.9050 +2025-05-14 02:43:09,838 - pyskl - INFO - Epoch [38][500/2506] lr: 2.139e-02, eta: 1 day, 9:24:48, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8581, top5_acc: 0.9812, loss_cls: 2.8154, loss: 2.8154 +2025-05-14 02:43:51,708 - pyskl - INFO - Epoch [38][600/2506] lr: 2.139e-02, eta: 1 day, 9:24:03, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8600, top5_acc: 0.9794, loss_cls: 2.8326, loss: 2.8326 +2025-05-14 02:44:33,161 - pyskl - INFO - Epoch [38][700/2506] lr: 2.138e-02, eta: 1 day, 9:23:17, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9769, loss_cls: 3.0030, loss: 3.0030 +2025-05-14 02:45:14,705 - pyskl - INFO - Epoch [38][800/2506] lr: 2.137e-02, eta: 1 day, 9:22:31, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8569, top5_acc: 0.9794, loss_cls: 2.9195, loss: 2.9195 +2025-05-14 02:45:56,440 - pyskl - INFO - Epoch [38][900/2506] lr: 2.136e-02, eta: 1 day, 9:21:46, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9806, loss_cls: 2.8251, loss: 2.8251 +2025-05-14 02:46:38,336 - pyskl - INFO - Epoch [38][1000/2506] lr: 2.136e-02, eta: 1 day, 9:21:02, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9894, loss_cls: 2.8531, loss: 2.8531 +2025-05-14 02:47:20,024 - pyskl - INFO - Epoch [38][1100/2506] lr: 2.135e-02, eta: 1 day, 9:20:17, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8550, top5_acc: 0.9819, loss_cls: 2.8894, loss: 2.8894 +2025-05-14 02:48:01,391 - pyskl - INFO - Epoch [38][1200/2506] lr: 2.134e-02, eta: 1 day, 9:19:31, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9800, loss_cls: 2.9319, loss: 2.9319 +2025-05-14 02:48:42,700 - pyskl - INFO - Epoch [38][1300/2506] lr: 2.134e-02, eta: 1 day, 9:18:44, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8575, top5_acc: 0.9769, loss_cls: 2.9242, loss: 2.9242 +2025-05-14 02:49:24,628 - pyskl - INFO - Epoch [38][1400/2506] lr: 2.133e-02, eta: 1 day, 9:18:00, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8581, top5_acc: 0.9838, loss_cls: 2.8327, loss: 2.8327 +2025-05-14 02:50:05,606 - pyskl - INFO - Epoch [38][1500/2506] lr: 2.132e-02, eta: 1 day, 9:17:13, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8512, top5_acc: 0.9862, loss_cls: 2.8558, loss: 2.8558 +2025-05-14 02:50:47,345 - pyskl - INFO - Epoch [38][1600/2506] lr: 2.131e-02, eta: 1 day, 9:16:28, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9875, loss_cls: 2.8287, loss: 2.8287 +2025-05-14 02:51:29,050 - pyskl - INFO - Epoch [38][1700/2506] lr: 2.131e-02, eta: 1 day, 9:15:43, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8519, top5_acc: 0.9806, loss_cls: 2.8773, loss: 2.8773 +2025-05-14 02:52:11,144 - pyskl - INFO - Epoch [38][1800/2506] lr: 2.130e-02, eta: 1 day, 9:14:59, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8519, top5_acc: 0.9775, loss_cls: 2.9327, loss: 2.9327 +2025-05-14 02:52:52,675 - pyskl - INFO - Epoch [38][1900/2506] lr: 2.129e-02, eta: 1 day, 9:14:13, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8600, top5_acc: 0.9738, loss_cls: 2.9439, loss: 2.9439 +2025-05-14 02:53:33,958 - pyskl - INFO - Epoch [38][2000/2506] lr: 2.128e-02, eta: 1 day, 9:13:27, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8662, top5_acc: 0.9856, loss_cls: 2.7929, loss: 2.7929 +2025-05-14 02:54:15,762 - pyskl - INFO - Epoch [38][2100/2506] lr: 2.128e-02, eta: 1 day, 9:12:42, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8556, top5_acc: 0.9756, loss_cls: 2.8954, loss: 2.8954 +2025-05-14 02:54:57,632 - pyskl - INFO - Epoch [38][2200/2506] lr: 2.127e-02, eta: 1 day, 9:11:58, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9812, loss_cls: 2.8223, loss: 2.8223 +2025-05-14 02:55:39,549 - pyskl - INFO - Epoch [38][2300/2506] lr: 2.126e-02, eta: 1 day, 9:11:14, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8581, top5_acc: 0.9781, loss_cls: 2.8943, loss: 2.8943 +2025-05-14 02:56:21,396 - pyskl - INFO - Epoch [38][2400/2506] lr: 2.125e-02, eta: 1 day, 9:10:29, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9875, loss_cls: 2.7391, loss: 2.7391 +2025-05-14 02:57:02,179 - pyskl - INFO - Epoch [38][2500/2506] lr: 2.125e-02, eta: 1 day, 9:09:41, time: 0.408, data_time: 0.000, memory: 10840, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 2.8950, loss: 2.8950 +2025-05-14 02:57:05,320 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-05-14 02:58:18,713 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 02:58:18,809 - pyskl - INFO - +top1_acc 0.8234 +top5_acc 0.9717 +2025-05-14 02:58:18,812 - pyskl - INFO - Epoch(val) [38][1031] top1_acc: 0.8234, top5_acc: 0.9717 +2025-05-14 02:59:27,486 - pyskl - INFO - Epoch [39][100/2506] lr: 2.124e-02, eta: 1 day, 9:10:06, time: 0.687, data_time: 0.273, memory: 10840, top1_acc: 0.8700, top5_acc: 0.9862, loss_cls: 2.7287, loss: 2.7287 +2025-05-14 03:00:09,532 - pyskl - INFO - Epoch [39][200/2506] lr: 2.123e-02, eta: 1 day, 9:09:22, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8556, top5_acc: 0.9844, loss_cls: 2.8821, loss: 2.8821 +2025-05-14 03:00:50,702 - pyskl - INFO - Epoch [39][300/2506] lr: 2.122e-02, eta: 1 day, 9:08:35, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9800, loss_cls: 2.9136, loss: 2.9136 +2025-05-14 03:01:32,849 - pyskl - INFO - Epoch [39][400/2506] lr: 2.122e-02, eta: 1 day, 9:07:51, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8512, top5_acc: 0.9831, loss_cls: 2.9319, loss: 2.9319 +2025-05-14 03:02:14,720 - pyskl - INFO - Epoch [39][500/2506] lr: 2.121e-02, eta: 1 day, 9:07:07, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9850, loss_cls: 2.8030, loss: 2.8030 +2025-05-14 03:02:56,446 - pyskl - INFO - Epoch [39][600/2506] lr: 2.120e-02, eta: 1 day, 9:06:22, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8562, top5_acc: 0.9806, loss_cls: 2.9704, loss: 2.9704 +2025-05-14 03:03:38,179 - pyskl - INFO - Epoch [39][700/2506] lr: 2.119e-02, eta: 1 day, 9:05:37, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8475, top5_acc: 0.9819, loss_cls: 2.9110, loss: 2.9110 +2025-05-14 03:04:19,960 - pyskl - INFO - Epoch [39][800/2506] lr: 2.119e-02, eta: 1 day, 9:04:52, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8512, top5_acc: 0.9825, loss_cls: 2.8839, loss: 2.8839 +2025-05-14 03:05:01,636 - pyskl - INFO - Epoch [39][900/2506] lr: 2.118e-02, eta: 1 day, 9:04:07, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9781, loss_cls: 2.8399, loss: 2.8399 +2025-05-14 03:05:42,892 - pyskl - INFO - Epoch [39][1000/2506] lr: 2.117e-02, eta: 1 day, 9:03:20, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8600, top5_acc: 0.9769, loss_cls: 2.7979, loss: 2.7979 +2025-05-14 03:06:23,992 - pyskl - INFO - Epoch [39][1100/2506] lr: 2.116e-02, eta: 1 day, 9:02:34, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9762, loss_cls: 2.8023, loss: 2.8023 +2025-05-14 03:07:04,280 - pyskl - INFO - Epoch [39][1200/2506] lr: 2.116e-02, eta: 1 day, 9:01:45, time: 0.403, data_time: 0.000, memory: 10840, top1_acc: 0.8431, top5_acc: 0.9812, loss_cls: 2.8749, loss: 2.8749 +2025-05-14 03:07:45,512 - pyskl - INFO - Epoch [39][1300/2506] lr: 2.115e-02, eta: 1 day, 9:00:58, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9825, loss_cls: 2.8467, loss: 2.8467 +2025-05-14 03:08:26,931 - pyskl - INFO - Epoch [39][1400/2506] lr: 2.114e-02, eta: 1 day, 9:00:12, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8475, top5_acc: 0.9769, loss_cls: 2.9121, loss: 2.9121 +2025-05-14 03:09:08,477 - pyskl - INFO - Epoch [39][1500/2506] lr: 2.113e-02, eta: 1 day, 8:59:27, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9819, loss_cls: 2.7880, loss: 2.7880 +2025-05-14 03:09:50,417 - pyskl - INFO - Epoch [39][1600/2506] lr: 2.113e-02, eta: 1 day, 8:58:43, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 2.8026, loss: 2.8026 +2025-05-14 03:10:32,514 - pyskl - INFO - Epoch [39][1700/2506] lr: 2.112e-02, eta: 1 day, 8:57:59, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8525, top5_acc: 0.9831, loss_cls: 2.8610, loss: 2.8610 +2025-05-14 03:11:14,969 - pyskl - INFO - Epoch [39][1800/2506] lr: 2.111e-02, eta: 1 day, 8:57:16, time: 0.425, data_time: 0.000, memory: 10840, top1_acc: 0.8425, top5_acc: 0.9800, loss_cls: 2.9305, loss: 2.9305 +2025-05-14 03:11:56,921 - pyskl - INFO - Epoch [39][1900/2506] lr: 2.110e-02, eta: 1 day, 8:56:32, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9862, loss_cls: 2.7693, loss: 2.7693 +2025-05-14 03:12:38,749 - pyskl - INFO - Epoch [39][2000/2506] lr: 2.110e-02, eta: 1 day, 8:55:47, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9812, loss_cls: 2.7758, loss: 2.7758 +2025-05-14 03:13:19,964 - pyskl - INFO - Epoch [39][2100/2506] lr: 2.109e-02, eta: 1 day, 8:55:01, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8500, top5_acc: 0.9744, loss_cls: 2.9445, loss: 2.9445 +2025-05-14 03:14:01,549 - pyskl - INFO - Epoch [39][2200/2506] lr: 2.108e-02, eta: 1 day, 8:54:16, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9781, loss_cls: 2.8401, loss: 2.8401 +2025-05-14 03:14:42,946 - pyskl - INFO - Epoch [39][2300/2506] lr: 2.107e-02, eta: 1 day, 8:53:30, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9819, loss_cls: 2.8493, loss: 2.8493 +2025-05-14 03:15:23,824 - pyskl - INFO - Epoch [39][2400/2506] lr: 2.106e-02, eta: 1 day, 8:52:43, time: 0.409, data_time: 0.000, memory: 10840, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 2.7546, loss: 2.7546 +2025-05-14 03:16:04,930 - pyskl - INFO - Epoch [39][2500/2506] lr: 2.106e-02, eta: 1 day, 8:51:56, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9838, loss_cls: 2.7702, loss: 2.7702 +2025-05-14 03:16:08,292 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-05-14 03:17:21,484 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 03:17:21,555 - pyskl - INFO - +top1_acc 0.8177 +top5_acc 0.9724 +2025-05-14 03:17:21,558 - pyskl - INFO - Epoch(val) [39][1031] top1_acc: 0.8177, top5_acc: 0.9724 +2025-05-14 03:18:28,774 - pyskl - INFO - Epoch [40][100/2506] lr: 2.105e-02, eta: 1 day, 8:52:14, time: 0.672, data_time: 0.253, memory: 10840, top1_acc: 0.8750, top5_acc: 0.9825, loss_cls: 2.7647, loss: 2.7647 +2025-05-14 03:19:10,664 - pyskl - INFO - Epoch [40][200/2506] lr: 2.104e-02, eta: 1 day, 8:51:29, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9894, loss_cls: 2.7997, loss: 2.7997 +2025-05-14 03:19:52,662 - pyskl - INFO - Epoch [40][300/2506] lr: 2.103e-02, eta: 1 day, 8:50:45, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 2.6871, loss: 2.6871 +2025-05-14 03:20:34,297 - pyskl - INFO - Epoch [40][400/2506] lr: 2.103e-02, eta: 1 day, 8:50:00, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9781, loss_cls: 2.8874, loss: 2.8874 +2025-05-14 03:21:15,876 - pyskl - INFO - Epoch [40][500/2506] lr: 2.102e-02, eta: 1 day, 8:49:15, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9775, loss_cls: 2.8122, loss: 2.8122 +2025-05-14 03:21:57,584 - pyskl - INFO - Epoch [40][600/2506] lr: 2.101e-02, eta: 1 day, 8:48:30, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9875, loss_cls: 2.8698, loss: 2.8698 +2025-05-14 03:22:39,299 - pyskl - INFO - Epoch [40][700/2506] lr: 2.100e-02, eta: 1 day, 8:47:45, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8662, top5_acc: 0.9900, loss_cls: 2.7805, loss: 2.7805 +2025-05-14 03:23:21,100 - pyskl - INFO - Epoch [40][800/2506] lr: 2.100e-02, eta: 1 day, 8:47:00, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 2.7753, loss: 2.7753 +2025-05-14 03:24:02,640 - pyskl - INFO - Epoch [40][900/2506] lr: 2.099e-02, eta: 1 day, 8:46:15, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8469, top5_acc: 0.9812, loss_cls: 2.8594, loss: 2.8594 +2025-05-14 03:24:44,330 - pyskl - INFO - Epoch [40][1000/2506] lr: 2.098e-02, eta: 1 day, 8:45:30, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8419, top5_acc: 0.9762, loss_cls: 2.9941, loss: 2.9941 +2025-05-14 03:25:26,048 - pyskl - INFO - Epoch [40][1100/2506] lr: 2.097e-02, eta: 1 day, 8:44:45, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8606, top5_acc: 0.9856, loss_cls: 2.7640, loss: 2.7640 +2025-05-14 03:26:07,071 - pyskl - INFO - Epoch [40][1200/2506] lr: 2.097e-02, eta: 1 day, 8:43:58, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9794, loss_cls: 2.8221, loss: 2.8221 +2025-05-14 03:26:48,673 - pyskl - INFO - Epoch [40][1300/2506] lr: 2.096e-02, eta: 1 day, 8:43:13, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8506, top5_acc: 0.9869, loss_cls: 2.7074, loss: 2.7074 +2025-05-14 03:27:30,605 - pyskl - INFO - Epoch [40][1400/2506] lr: 2.095e-02, eta: 1 day, 8:42:29, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8531, top5_acc: 0.9819, loss_cls: 2.9339, loss: 2.9339 +2025-05-14 03:28:11,872 - pyskl - INFO - Epoch [40][1500/2506] lr: 2.094e-02, eta: 1 day, 8:41:43, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9806, loss_cls: 2.7878, loss: 2.7878 +2025-05-14 03:28:53,340 - pyskl - INFO - Epoch [40][1600/2506] lr: 2.093e-02, eta: 1 day, 8:40:57, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8625, top5_acc: 0.9844, loss_cls: 2.8103, loss: 2.8103 +2025-05-14 03:29:34,549 - pyskl - INFO - Epoch [40][1700/2506] lr: 2.093e-02, eta: 1 day, 8:40:11, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8544, top5_acc: 0.9844, loss_cls: 2.9088, loss: 2.9088 +2025-05-14 03:30:16,806 - pyskl - INFO - Epoch [40][1800/2506] lr: 2.092e-02, eta: 1 day, 8:39:27, time: 0.423, data_time: 0.000, memory: 10840, top1_acc: 0.8556, top5_acc: 0.9800, loss_cls: 2.9198, loss: 2.9198 +2025-05-14 03:30:58,488 - pyskl - INFO - Epoch [40][1900/2506] lr: 2.091e-02, eta: 1 day, 8:38:43, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9800, loss_cls: 2.8020, loss: 2.8020 +2025-05-14 03:31:40,306 - pyskl - INFO - Epoch [40][2000/2506] lr: 2.090e-02, eta: 1 day, 8:37:58, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8600, top5_acc: 0.9850, loss_cls: 2.8310, loss: 2.8310 +2025-05-14 03:32:21,623 - pyskl - INFO - Epoch [40][2100/2506] lr: 2.090e-02, eta: 1 day, 8:37:12, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8500, top5_acc: 0.9838, loss_cls: 2.8202, loss: 2.8202 +2025-05-14 03:33:03,395 - pyskl - INFO - Epoch [40][2200/2506] lr: 2.089e-02, eta: 1 day, 8:36:27, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 2.8018, loss: 2.8018 +2025-05-14 03:33:44,649 - pyskl - INFO - Epoch [40][2300/2506] lr: 2.088e-02, eta: 1 day, 8:35:41, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8625, top5_acc: 0.9806, loss_cls: 2.8549, loss: 2.8549 +2025-05-14 03:34:26,040 - pyskl - INFO - Epoch [40][2400/2506] lr: 2.087e-02, eta: 1 day, 8:34:56, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8494, top5_acc: 0.9838, loss_cls: 2.9400, loss: 2.9400 +2025-05-14 03:35:07,656 - pyskl - INFO - Epoch [40][2500/2506] lr: 2.086e-02, eta: 1 day, 8:34:11, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 2.9433, loss: 2.9433 +2025-05-14 03:35:10,869 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-05-14 03:36:24,095 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 03:36:24,175 - pyskl - INFO - +top1_acc 0.8291 +top5_acc 0.9734 +2025-05-14 03:36:24,178 - pyskl - INFO - Epoch(val) [40][1031] top1_acc: 0.8291, top5_acc: 0.9734 +2025-05-14 03:37:32,881 - pyskl - INFO - Epoch [41][100/2506] lr: 2.086e-02, eta: 1 day, 8:34:30, time: 0.687, data_time: 0.272, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 2.7814, loss: 2.7814 +2025-05-14 03:38:14,989 - pyskl - INFO - Epoch [41][200/2506] lr: 2.085e-02, eta: 1 day, 8:33:47, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8556, top5_acc: 0.9788, loss_cls: 2.8579, loss: 2.8579 +2025-05-14 03:38:57,125 - pyskl - INFO - Epoch [41][300/2506] lr: 2.084e-02, eta: 1 day, 8:33:03, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8612, top5_acc: 0.9862, loss_cls: 2.7902, loss: 2.7902 +2025-05-14 03:39:38,877 - pyskl - INFO - Epoch [41][400/2506] lr: 2.083e-02, eta: 1 day, 8:32:18, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8556, top5_acc: 0.9850, loss_cls: 2.9138, loss: 2.9138 +2025-05-14 03:40:20,726 - pyskl - INFO - Epoch [41][500/2506] lr: 2.083e-02, eta: 1 day, 8:31:34, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8444, top5_acc: 0.9819, loss_cls: 2.9291, loss: 2.9291 +2025-05-14 03:41:02,413 - pyskl - INFO - Epoch [41][600/2506] lr: 2.082e-02, eta: 1 day, 8:30:49, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9838, loss_cls: 2.8755, loss: 2.8755 +2025-05-14 03:41:44,288 - pyskl - INFO - Epoch [41][700/2506] lr: 2.081e-02, eta: 1 day, 8:30:04, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8762, top5_acc: 0.9831, loss_cls: 2.7555, loss: 2.7555 +2025-05-14 03:42:26,208 - pyskl - INFO - Epoch [41][800/2506] lr: 2.080e-02, eta: 1 day, 8:29:20, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8669, top5_acc: 0.9831, loss_cls: 2.7959, loss: 2.7959 +2025-05-14 03:43:07,982 - pyskl - INFO - Epoch [41][900/2506] lr: 2.079e-02, eta: 1 day, 8:28:35, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9769, loss_cls: 2.8282, loss: 2.8282 +2025-05-14 03:43:49,886 - pyskl - INFO - Epoch [41][1000/2506] lr: 2.079e-02, eta: 1 day, 8:27:51, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8606, top5_acc: 0.9800, loss_cls: 2.8879, loss: 2.8879 +2025-05-14 03:44:31,663 - pyskl - INFO - Epoch [41][1100/2506] lr: 2.078e-02, eta: 1 day, 8:27:06, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8581, top5_acc: 0.9812, loss_cls: 2.8257, loss: 2.8257 +2025-05-14 03:45:12,696 - pyskl - INFO - Epoch [41][1200/2506] lr: 2.077e-02, eta: 1 day, 8:26:20, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9888, loss_cls: 2.7844, loss: 2.7844 +2025-05-14 03:45:53,896 - pyskl - INFO - Epoch [41][1300/2506] lr: 2.076e-02, eta: 1 day, 8:25:34, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 2.7054, loss: 2.7054 +2025-05-14 03:46:35,518 - pyskl - INFO - Epoch [41][1400/2506] lr: 2.075e-02, eta: 1 day, 8:24:48, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8600, top5_acc: 0.9894, loss_cls: 2.7778, loss: 2.7778 +2025-05-14 03:47:16,744 - pyskl - INFO - Epoch [41][1500/2506] lr: 2.075e-02, eta: 1 day, 8:24:02, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8494, top5_acc: 0.9825, loss_cls: 2.8892, loss: 2.8892 +2025-05-14 03:47:58,205 - pyskl - INFO - Epoch [41][1600/2506] lr: 2.074e-02, eta: 1 day, 8:23:17, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8600, top5_acc: 0.9812, loss_cls: 2.8250, loss: 2.8250 +2025-05-14 03:48:40,140 - pyskl - INFO - Epoch [41][1700/2506] lr: 2.073e-02, eta: 1 day, 8:22:33, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8525, top5_acc: 0.9812, loss_cls: 2.9023, loss: 2.9023 +2025-05-14 03:49:21,864 - pyskl - INFO - Epoch [41][1800/2506] lr: 2.072e-02, eta: 1 day, 8:21:48, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9825, loss_cls: 2.7809, loss: 2.7809 +2025-05-14 03:50:03,786 - pyskl - INFO - Epoch [41][1900/2506] lr: 2.072e-02, eta: 1 day, 8:21:04, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9844, loss_cls: 2.8445, loss: 2.8445 +2025-05-14 03:50:45,573 - pyskl - INFO - Epoch [41][2000/2506] lr: 2.071e-02, eta: 1 day, 8:20:19, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9850, loss_cls: 2.7744, loss: 2.7744 +2025-05-14 03:51:27,289 - pyskl - INFO - Epoch [41][2100/2506] lr: 2.070e-02, eta: 1 day, 8:19:34, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9825, loss_cls: 2.9097, loss: 2.9097 +2025-05-14 03:52:08,956 - pyskl - INFO - Epoch [41][2200/2506] lr: 2.069e-02, eta: 1 day, 8:18:50, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8544, top5_acc: 0.9794, loss_cls: 2.8010, loss: 2.8010 +2025-05-14 03:52:50,412 - pyskl - INFO - Epoch [41][2300/2506] lr: 2.068e-02, eta: 1 day, 8:18:04, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9838, loss_cls: 2.8196, loss: 2.8196 +2025-05-14 03:53:32,119 - pyskl - INFO - Epoch [41][2400/2506] lr: 2.068e-02, eta: 1 day, 8:17:19, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8650, top5_acc: 0.9800, loss_cls: 2.8522, loss: 2.8522 +2025-05-14 03:54:13,575 - pyskl - INFO - Epoch [41][2500/2506] lr: 2.067e-02, eta: 1 day, 8:16:34, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8556, top5_acc: 0.9762, loss_cls: 2.9209, loss: 2.9209 +2025-05-14 03:54:16,756 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-05-14 03:55:28,142 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 03:55:28,237 - pyskl - INFO - +top1_acc 0.8211 +top5_acc 0.9734 +2025-05-14 03:55:28,240 - pyskl - INFO - Epoch(val) [41][1031] top1_acc: 0.8211, top5_acc: 0.9734 +2025-05-14 03:56:37,516 - pyskl - INFO - Epoch [42][100/2506] lr: 2.066e-02, eta: 1 day, 8:16:53, time: 0.693, data_time: 0.272, memory: 10840, top1_acc: 0.8719, top5_acc: 0.9806, loss_cls: 2.8450, loss: 2.8450 +2025-05-14 03:57:19,445 - pyskl - INFO - Epoch [42][200/2506] lr: 2.065e-02, eta: 1 day, 8:16:09, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 2.7633, loss: 2.7633 +2025-05-14 03:58:01,394 - pyskl - INFO - Epoch [42][300/2506] lr: 2.064e-02, eta: 1 day, 8:15:25, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8700, top5_acc: 0.9888, loss_cls: 2.7585, loss: 2.7585 +2025-05-14 03:58:43,197 - pyskl - INFO - Epoch [42][400/2506] lr: 2.064e-02, eta: 1 day, 8:14:40, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9862, loss_cls: 2.7094, loss: 2.7094 +2025-05-14 03:59:24,967 - pyskl - INFO - Epoch [42][500/2506] lr: 2.063e-02, eta: 1 day, 8:13:55, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9856, loss_cls: 2.7478, loss: 2.7478 +2025-05-14 04:00:06,965 - pyskl - INFO - Epoch [42][600/2506] lr: 2.062e-02, eta: 1 day, 8:13:11, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 2.7624, loss: 2.7624 +2025-05-14 04:00:48,896 - pyskl - INFO - Epoch [42][700/2506] lr: 2.061e-02, eta: 1 day, 8:12:27, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9806, loss_cls: 2.7204, loss: 2.7204 +2025-05-14 04:01:30,562 - pyskl - INFO - Epoch [42][800/2506] lr: 2.060e-02, eta: 1 day, 8:11:42, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9931, loss_cls: 2.7550, loss: 2.7550 +2025-05-14 04:02:12,523 - pyskl - INFO - Epoch [42][900/2506] lr: 2.060e-02, eta: 1 day, 8:10:58, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8481, top5_acc: 0.9819, loss_cls: 2.8196, loss: 2.8196 +2025-05-14 04:02:54,246 - pyskl - INFO - Epoch [42][1000/2506] lr: 2.059e-02, eta: 1 day, 8:10:13, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9825, loss_cls: 2.7491, loss: 2.7491 +2025-05-14 04:03:35,936 - pyskl - INFO - Epoch [42][1100/2506] lr: 2.058e-02, eta: 1 day, 8:09:29, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9888, loss_cls: 2.8073, loss: 2.8073 +2025-05-14 04:04:17,575 - pyskl - INFO - Epoch [42][1200/2506] lr: 2.057e-02, eta: 1 day, 8:08:44, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 2.8249, loss: 2.8249 +2025-05-14 04:04:59,392 - pyskl - INFO - Epoch [42][1300/2506] lr: 2.056e-02, eta: 1 day, 8:07:59, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8419, top5_acc: 0.9762, loss_cls: 2.9203, loss: 2.9203 +2025-05-14 04:05:40,839 - pyskl - INFO - Epoch [42][1400/2506] lr: 2.056e-02, eta: 1 day, 8:07:14, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9850, loss_cls: 2.8304, loss: 2.8304 +2025-05-14 04:06:22,894 - pyskl - INFO - Epoch [42][1500/2506] lr: 2.055e-02, eta: 1 day, 8:06:30, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 2.8686, loss: 2.8686 +2025-05-14 04:07:04,747 - pyskl - INFO - Epoch [42][1600/2506] lr: 2.054e-02, eta: 1 day, 8:05:46, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8581, top5_acc: 0.9850, loss_cls: 2.7872, loss: 2.7872 +2025-05-14 04:07:46,564 - pyskl - INFO - Epoch [42][1700/2506] lr: 2.053e-02, eta: 1 day, 8:05:01, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8581, top5_acc: 0.9838, loss_cls: 2.8006, loss: 2.8006 +2025-05-14 04:08:28,401 - pyskl - INFO - Epoch [42][1800/2506] lr: 2.052e-02, eta: 1 day, 8:04:17, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8538, top5_acc: 0.9825, loss_cls: 2.7683, loss: 2.7683 +2025-05-14 04:09:09,902 - pyskl - INFO - Epoch [42][1900/2506] lr: 2.052e-02, eta: 1 day, 8:03:31, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8481, top5_acc: 0.9750, loss_cls: 2.9264, loss: 2.9264 +2025-05-14 04:09:51,985 - pyskl - INFO - Epoch [42][2000/2506] lr: 2.051e-02, eta: 1 day, 8:02:48, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9762, loss_cls: 2.8955, loss: 2.8955 +2025-05-14 04:10:33,509 - pyskl - INFO - Epoch [42][2100/2506] lr: 2.050e-02, eta: 1 day, 8:02:02, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9775, loss_cls: 2.8818, loss: 2.8818 +2025-05-14 04:11:14,308 - pyskl - INFO - Epoch [42][2200/2506] lr: 2.049e-02, eta: 1 day, 8:01:15, time: 0.408, data_time: 0.000, memory: 10840, top1_acc: 0.8588, top5_acc: 0.9800, loss_cls: 2.9177, loss: 2.9177 +2025-05-14 04:11:55,458 - pyskl - INFO - Epoch [42][2300/2506] lr: 2.048e-02, eta: 1 day, 8:00:29, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9831, loss_cls: 2.8228, loss: 2.8228 +2025-05-14 04:12:36,513 - pyskl - INFO - Epoch [42][2400/2506] lr: 2.048e-02, eta: 1 day, 7:59:43, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9862, loss_cls: 2.8093, loss: 2.8093 +2025-05-14 04:13:16,971 - pyskl - INFO - Epoch [42][2500/2506] lr: 2.047e-02, eta: 1 day, 7:58:55, time: 0.405, data_time: 0.000, memory: 10840, top1_acc: 0.8438, top5_acc: 0.9800, loss_cls: 2.9826, loss: 2.9826 +2025-05-14 04:13:20,016 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-05-14 04:14:32,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 04:14:33,082 - pyskl - INFO - +top1_acc 0.8014 +top5_acc 0.9692 +2025-05-14 04:14:33,085 - pyskl - INFO - Epoch(val) [42][1031] top1_acc: 0.8014, top5_acc: 0.9692 +2025-05-14 04:15:42,324 - pyskl - INFO - Epoch [43][100/2506] lr: 2.046e-02, eta: 1 day, 7:59:12, time: 0.692, data_time: 0.275, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 2.8307, loss: 2.8307 +2025-05-14 04:16:24,095 - pyskl - INFO - Epoch [43][200/2506] lr: 2.045e-02, eta: 1 day, 7:58:27, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8612, top5_acc: 0.9844, loss_cls: 2.8501, loss: 2.8501 +2025-05-14 04:17:05,666 - pyskl - INFO - Epoch [43][300/2506] lr: 2.044e-02, eta: 1 day, 7:57:42, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8669, top5_acc: 0.9856, loss_cls: 2.8196, loss: 2.8196 +2025-05-14 04:17:47,759 - pyskl - INFO - Epoch [43][400/2506] lr: 2.044e-02, eta: 1 day, 7:56:58, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9844, loss_cls: 2.8117, loss: 2.8117 +2025-05-14 04:18:29,487 - pyskl - INFO - Epoch [43][500/2506] lr: 2.043e-02, eta: 1 day, 7:56:14, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8756, top5_acc: 0.9844, loss_cls: 2.7561, loss: 2.7561 +2025-05-14 04:19:10,676 - pyskl - INFO - Epoch [43][600/2506] lr: 2.042e-02, eta: 1 day, 7:55:28, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 2.7996, loss: 2.7996 +2025-05-14 04:19:51,894 - pyskl - INFO - Epoch [43][700/2506] lr: 2.041e-02, eta: 1 day, 7:54:42, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8556, top5_acc: 0.9806, loss_cls: 2.8486, loss: 2.8486 +2025-05-14 04:20:33,267 - pyskl - INFO - Epoch [43][800/2506] lr: 2.040e-02, eta: 1 day, 7:53:56, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8669, top5_acc: 0.9800, loss_cls: 2.8087, loss: 2.8087 +2025-05-14 04:21:14,808 - pyskl - INFO - Epoch [43][900/2506] lr: 2.040e-02, eta: 1 day, 7:53:11, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8581, top5_acc: 0.9844, loss_cls: 2.8559, loss: 2.8559 +2025-05-14 04:21:56,416 - pyskl - INFO - Epoch [43][1000/2506] lr: 2.039e-02, eta: 1 day, 7:52:26, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 2.6976, loss: 2.6976 +2025-05-14 04:22:38,140 - pyskl - INFO - Epoch [43][1100/2506] lr: 2.038e-02, eta: 1 day, 7:51:41, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9825, loss_cls: 2.8351, loss: 2.8351 +2025-05-14 04:23:19,984 - pyskl - INFO - Epoch [43][1200/2506] lr: 2.037e-02, eta: 1 day, 7:50:57, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9825, loss_cls: 2.8588, loss: 2.8588 +2025-05-14 04:24:01,874 - pyskl - INFO - Epoch [43][1300/2506] lr: 2.036e-02, eta: 1 day, 7:50:13, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9775, loss_cls: 2.7618, loss: 2.7618 +2025-05-14 04:24:43,773 - pyskl - INFO - Epoch [43][1400/2506] lr: 2.035e-02, eta: 1 day, 7:49:29, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 2.8065, loss: 2.8065 +2025-05-14 04:25:25,855 - pyskl - INFO - Epoch [43][1500/2506] lr: 2.035e-02, eta: 1 day, 7:48:45, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8456, top5_acc: 0.9862, loss_cls: 2.8371, loss: 2.8371 +2025-05-14 04:26:07,889 - pyskl - INFO - Epoch [43][1600/2506] lr: 2.034e-02, eta: 1 day, 7:48:01, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9788, loss_cls: 2.7072, loss: 2.7072 +2025-05-14 04:26:49,649 - pyskl - INFO - Epoch [43][1700/2506] lr: 2.033e-02, eta: 1 day, 7:47:16, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 2.6966, loss: 2.6966 +2025-05-14 04:27:31,733 - pyskl - INFO - Epoch [43][1800/2506] lr: 2.032e-02, eta: 1 day, 7:46:33, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 2.7245, loss: 2.7245 +2025-05-14 04:28:13,753 - pyskl - INFO - Epoch [43][1900/2506] lr: 2.031e-02, eta: 1 day, 7:45:49, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 2.7558, loss: 2.7558 +2025-05-14 04:28:55,856 - pyskl - INFO - Epoch [43][2000/2506] lr: 2.031e-02, eta: 1 day, 7:45:05, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8569, top5_acc: 0.9788, loss_cls: 2.9080, loss: 2.9080 +2025-05-14 04:29:37,623 - pyskl - INFO - Epoch [43][2100/2506] lr: 2.030e-02, eta: 1 day, 7:44:21, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8531, top5_acc: 0.9750, loss_cls: 2.9186, loss: 2.9186 +2025-05-14 04:30:18,345 - pyskl - INFO - Epoch [43][2200/2506] lr: 2.029e-02, eta: 1 day, 7:43:34, time: 0.407, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9806, loss_cls: 2.8600, loss: 2.8600 +2025-05-14 04:30:58,606 - pyskl - INFO - Epoch [43][2300/2506] lr: 2.028e-02, eta: 1 day, 7:42:45, time: 0.403, data_time: 0.000, memory: 10840, top1_acc: 0.8500, top5_acc: 0.9819, loss_cls: 2.8215, loss: 2.8215 +2025-05-14 04:31:40,410 - pyskl - INFO - Epoch [43][2400/2506] lr: 2.027e-02, eta: 1 day, 7:42:01, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8531, top5_acc: 0.9806, loss_cls: 2.8873, loss: 2.8873 +2025-05-14 04:32:21,848 - pyskl - INFO - Epoch [43][2500/2506] lr: 2.026e-02, eta: 1 day, 7:41:16, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8562, top5_acc: 0.9769, loss_cls: 2.8384, loss: 2.8384 +2025-05-14 04:32:25,377 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-05-14 04:33:37,097 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 04:33:37,210 - pyskl - INFO - +top1_acc 0.8385 +top5_acc 0.9756 +2025-05-14 04:33:37,233 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_34.pth was removed +2025-05-14 04:33:39,096 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_43.pth. +2025-05-14 04:33:39,097 - pyskl - INFO - Best top1_acc is 0.8385 at 43 epoch. +2025-05-14 04:33:39,100 - pyskl - INFO - Epoch(val) [43][1031] top1_acc: 0.8385, top5_acc: 0.9756 +2025-05-14 04:34:49,654 - pyskl - INFO - Epoch [44][100/2506] lr: 2.026e-02, eta: 1 day, 7:41:34, time: 0.705, data_time: 0.285, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9894, loss_cls: 2.6778, loss: 2.6778 +2025-05-14 04:35:31,567 - pyskl - INFO - Epoch [44][200/2506] lr: 2.025e-02, eta: 1 day, 7:40:50, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 2.7130, loss: 2.7130 +2025-05-14 04:36:13,425 - pyskl - INFO - Epoch [44][300/2506] lr: 2.024e-02, eta: 1 day, 7:40:05, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8800, top5_acc: 0.9831, loss_cls: 2.7842, loss: 2.7842 +2025-05-14 04:36:54,043 - pyskl - INFO - Epoch [44][400/2506] lr: 2.023e-02, eta: 1 day, 7:39:18, time: 0.406, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9831, loss_cls: 2.7862, loss: 2.7862 +2025-05-14 04:37:35,800 - pyskl - INFO - Epoch [44][500/2506] lr: 2.022e-02, eta: 1 day, 7:38:33, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9875, loss_cls: 2.7327, loss: 2.7327 +2025-05-14 04:38:17,363 - pyskl - INFO - Epoch [44][600/2506] lr: 2.022e-02, eta: 1 day, 7:37:48, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8662, top5_acc: 0.9825, loss_cls: 2.8018, loss: 2.8018 +2025-05-14 04:38:59,175 - pyskl - INFO - Epoch [44][700/2506] lr: 2.021e-02, eta: 1 day, 7:37:04, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8569, top5_acc: 0.9869, loss_cls: 2.7723, loss: 2.7723 +2025-05-14 04:39:40,939 - pyskl - INFO - Epoch [44][800/2506] lr: 2.020e-02, eta: 1 day, 7:36:19, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9806, loss_cls: 2.7767, loss: 2.7767 +2025-05-14 04:40:21,382 - pyskl - INFO - Epoch [44][900/2506] lr: 2.019e-02, eta: 1 day, 7:35:32, time: 0.404, data_time: 0.000, memory: 10840, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 2.7693, loss: 2.7693 +2025-05-14 04:41:02,058 - pyskl - INFO - Epoch [44][1000/2506] lr: 2.018e-02, eta: 1 day, 7:34:44, time: 0.407, data_time: 0.000, memory: 10840, top1_acc: 0.8538, top5_acc: 0.9881, loss_cls: 2.8910, loss: 2.8910 +2025-05-14 04:41:43,178 - pyskl - INFO - Epoch [44][1100/2506] lr: 2.017e-02, eta: 1 day, 7:33:58, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9812, loss_cls: 2.8062, loss: 2.8062 +2025-05-14 04:42:25,109 - pyskl - INFO - Epoch [44][1200/2506] lr: 2.017e-02, eta: 1 day, 7:33:14, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8500, top5_acc: 0.9825, loss_cls: 2.9204, loss: 2.9204 +2025-05-14 04:43:07,015 - pyskl - INFO - Epoch [44][1300/2506] lr: 2.016e-02, eta: 1 day, 7:32:30, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 2.7509, loss: 2.7509 +2025-05-14 04:43:48,767 - pyskl - INFO - Epoch [44][1400/2506] lr: 2.015e-02, eta: 1 day, 7:31:46, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 2.7986, loss: 2.7986 +2025-05-14 04:44:30,173 - pyskl - INFO - Epoch [44][1500/2506] lr: 2.014e-02, eta: 1 day, 7:31:00, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 2.7923, loss: 2.7923 +2025-05-14 04:45:11,997 - pyskl - INFO - Epoch [44][1600/2506] lr: 2.013e-02, eta: 1 day, 7:30:16, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9856, loss_cls: 2.7661, loss: 2.7661 +2025-05-14 04:45:53,472 - pyskl - INFO - Epoch [44][1700/2506] lr: 2.012e-02, eta: 1 day, 7:29:31, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8662, top5_acc: 0.9819, loss_cls: 2.8075, loss: 2.8075 +2025-05-14 04:46:35,466 - pyskl - INFO - Epoch [44][1800/2506] lr: 2.012e-02, eta: 1 day, 7:28:47, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9794, loss_cls: 2.8005, loss: 2.8005 +2025-05-14 04:47:17,596 - pyskl - INFO - Epoch [44][1900/2506] lr: 2.011e-02, eta: 1 day, 7:28:03, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9812, loss_cls: 2.8247, loss: 2.8247 +2025-05-14 04:47:58,688 - pyskl - INFO - Epoch [44][2000/2506] lr: 2.010e-02, eta: 1 day, 7:27:17, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9806, loss_cls: 2.7521, loss: 2.7521 +2025-05-14 04:48:40,565 - pyskl - INFO - Epoch [44][2100/2506] lr: 2.009e-02, eta: 1 day, 7:26:33, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 2.7876, loss: 2.7876 +2025-05-14 04:49:22,049 - pyskl - INFO - Epoch [44][2200/2506] lr: 2.008e-02, eta: 1 day, 7:25:48, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8550, top5_acc: 0.9775, loss_cls: 2.8740, loss: 2.8740 +2025-05-14 04:50:03,832 - pyskl - INFO - Epoch [44][2300/2506] lr: 2.007e-02, eta: 1 day, 7:25:04, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8612, top5_acc: 0.9806, loss_cls: 2.7308, loss: 2.7308 +2025-05-14 04:50:45,499 - pyskl - INFO - Epoch [44][2400/2506] lr: 2.007e-02, eta: 1 day, 7:24:19, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 2.8029, loss: 2.8029 +2025-05-14 04:51:27,445 - pyskl - INFO - Epoch [44][2500/2506] lr: 2.006e-02, eta: 1 day, 7:23:35, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9819, loss_cls: 2.7555, loss: 2.7555 +2025-05-14 04:51:30,615 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-05-14 04:52:43,546 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 04:52:43,627 - pyskl - INFO - +top1_acc 0.8038 +top5_acc 0.9649 +2025-05-14 04:52:43,630 - pyskl - INFO - Epoch(val) [44][1031] top1_acc: 0.8038, top5_acc: 0.9649 +2025-05-14 04:53:52,860 - pyskl - INFO - Epoch [45][100/2506] lr: 2.005e-02, eta: 1 day, 7:23:48, time: 0.692, data_time: 0.278, memory: 10840, top1_acc: 0.8738, top5_acc: 0.9825, loss_cls: 2.7218, loss: 2.7218 +2025-05-14 04:54:34,547 - pyskl - INFO - Epoch [45][200/2506] lr: 2.004e-02, eta: 1 day, 7:23:03, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9856, loss_cls: 2.7371, loss: 2.7371 +2025-05-14 04:55:16,265 - pyskl - INFO - Epoch [45][300/2506] lr: 2.003e-02, eta: 1 day, 7:22:19, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 2.7685, loss: 2.7685 +2025-05-14 04:55:58,187 - pyskl - INFO - Epoch [45][400/2506] lr: 2.002e-02, eta: 1 day, 7:21:34, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 2.7388, loss: 2.7388 +2025-05-14 04:56:39,699 - pyskl - INFO - Epoch [45][500/2506] lr: 2.002e-02, eta: 1 day, 7:20:49, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8612, top5_acc: 0.9869, loss_cls: 2.7614, loss: 2.7614 +2025-05-14 04:57:21,565 - pyskl - INFO - Epoch [45][600/2506] lr: 2.001e-02, eta: 1 day, 7:20:05, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9875, loss_cls: 2.8171, loss: 2.8171 +2025-05-14 04:58:03,374 - pyskl - INFO - Epoch [45][700/2506] lr: 2.000e-02, eta: 1 day, 7:19:21, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9875, loss_cls: 2.7633, loss: 2.7633 +2025-05-14 04:58:45,301 - pyskl - INFO - Epoch [45][800/2506] lr: 1.999e-02, eta: 1 day, 7:18:37, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8525, top5_acc: 0.9850, loss_cls: 2.8048, loss: 2.8048 +2025-05-14 04:59:27,258 - pyskl - INFO - Epoch [45][900/2506] lr: 1.998e-02, eta: 1 day, 7:17:53, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8856, top5_acc: 0.9838, loss_cls: 2.6240, loss: 2.6240 +2025-05-14 05:00:09,076 - pyskl - INFO - Epoch [45][1000/2506] lr: 1.997e-02, eta: 1 day, 7:17:08, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9825, loss_cls: 2.7166, loss: 2.7166 +2025-05-14 05:00:50,752 - pyskl - INFO - Epoch [45][1100/2506] lr: 1.997e-02, eta: 1 day, 7:16:24, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9862, loss_cls: 2.7478, loss: 2.7478 +2025-05-14 05:01:32,120 - pyskl - INFO - Epoch [45][1200/2506] lr: 1.996e-02, eta: 1 day, 7:15:38, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8550, top5_acc: 0.9819, loss_cls: 2.8173, loss: 2.8173 +2025-05-14 05:02:14,388 - pyskl - INFO - Epoch [45][1300/2506] lr: 1.995e-02, eta: 1 day, 7:14:55, time: 0.423, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9788, loss_cls: 2.7673, loss: 2.7673 +2025-05-14 05:02:56,112 - pyskl - INFO - Epoch [45][1400/2506] lr: 1.994e-02, eta: 1 day, 7:14:10, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9825, loss_cls: 2.8051, loss: 2.8051 +2025-05-14 05:03:37,828 - pyskl - INFO - Epoch [45][1500/2506] lr: 1.993e-02, eta: 1 day, 7:13:26, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8662, top5_acc: 0.9825, loss_cls: 2.8225, loss: 2.8225 +2025-05-14 05:04:19,739 - pyskl - INFO - Epoch [45][1600/2506] lr: 1.992e-02, eta: 1 day, 7:12:42, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9825, loss_cls: 2.7174, loss: 2.7174 +2025-05-14 05:05:01,558 - pyskl - INFO - Epoch [45][1700/2506] lr: 1.992e-02, eta: 1 day, 7:11:58, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 2.7392, loss: 2.7392 +2025-05-14 05:05:43,152 - pyskl - INFO - Epoch [45][1800/2506] lr: 1.991e-02, eta: 1 day, 7:11:13, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8525, top5_acc: 0.9819, loss_cls: 2.8253, loss: 2.8253 +2025-05-14 05:06:25,149 - pyskl - INFO - Epoch [45][1900/2506] lr: 1.990e-02, eta: 1 day, 7:10:29, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 2.7865, loss: 2.7865 +2025-05-14 05:07:06,656 - pyskl - INFO - Epoch [45][2000/2506] lr: 1.989e-02, eta: 1 day, 7:09:44, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9825, loss_cls: 2.7978, loss: 2.7978 +2025-05-14 05:07:48,772 - pyskl - INFO - Epoch [45][2100/2506] lr: 1.988e-02, eta: 1 day, 7:09:00, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9788, loss_cls: 2.7400, loss: 2.7400 +2025-05-14 05:08:30,465 - pyskl - INFO - Epoch [45][2200/2506] lr: 1.987e-02, eta: 1 day, 7:08:16, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 2.7702, loss: 2.7702 +2025-05-14 05:09:11,649 - pyskl - INFO - Epoch [45][2300/2506] lr: 1.986e-02, eta: 1 day, 7:07:30, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9800, loss_cls: 2.9350, loss: 2.9350 +2025-05-14 05:09:53,640 - pyskl - INFO - Epoch [45][2400/2506] lr: 1.986e-02, eta: 1 day, 7:06:46, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8700, top5_acc: 0.9875, loss_cls: 2.7630, loss: 2.7630 +2025-05-14 05:10:35,214 - pyskl - INFO - Epoch [45][2500/2506] lr: 1.985e-02, eta: 1 day, 7:06:01, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8562, top5_acc: 0.9812, loss_cls: 2.9110, loss: 2.9110 +2025-05-14 05:10:38,663 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-05-14 05:11:51,740 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 05:11:51,812 - pyskl - INFO - +top1_acc 0.8326 +top5_acc 0.9740 +2025-05-14 05:11:51,815 - pyskl - INFO - Epoch(val) [45][1031] top1_acc: 0.8326, top5_acc: 0.9740 +2025-05-14 05:13:00,230 - pyskl - INFO - Epoch [46][100/2506] lr: 1.984e-02, eta: 1 day, 7:06:11, time: 0.684, data_time: 0.266, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 2.7543, loss: 2.7543 +2025-05-14 05:13:41,960 - pyskl - INFO - Epoch [46][200/2506] lr: 1.983e-02, eta: 1 day, 7:05:26, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8781, top5_acc: 0.9894, loss_cls: 2.7189, loss: 2.7189 +2025-05-14 05:14:23,666 - pyskl - INFO - Epoch [46][300/2506] lr: 1.982e-02, eta: 1 day, 7:04:41, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 2.7798, loss: 2.7798 +2025-05-14 05:15:05,382 - pyskl - INFO - Epoch [46][400/2506] lr: 1.981e-02, eta: 1 day, 7:03:57, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9856, loss_cls: 2.7870, loss: 2.7870 +2025-05-14 05:15:46,970 - pyskl - INFO - Epoch [46][500/2506] lr: 1.981e-02, eta: 1 day, 7:03:12, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9875, loss_cls: 2.7363, loss: 2.7363 +2025-05-14 05:16:28,644 - pyskl - INFO - Epoch [46][600/2506] lr: 1.980e-02, eta: 1 day, 7:02:27, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8800, top5_acc: 0.9838, loss_cls: 2.7622, loss: 2.7622 +2025-05-14 05:17:09,805 - pyskl - INFO - Epoch [46][700/2506] lr: 1.979e-02, eta: 1 day, 7:01:42, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9762, loss_cls: 2.7941, loss: 2.7941 +2025-05-14 05:17:51,571 - pyskl - INFO - Epoch [46][800/2506] lr: 1.978e-02, eta: 1 day, 7:00:57, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9806, loss_cls: 2.7515, loss: 2.7515 +2025-05-14 05:18:33,115 - pyskl - INFO - Epoch [46][900/2506] lr: 1.977e-02, eta: 1 day, 7:00:12, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9850, loss_cls: 2.7607, loss: 2.7607 +2025-05-14 05:19:15,380 - pyskl - INFO - Epoch [46][1000/2506] lr: 1.976e-02, eta: 1 day, 6:59:29, time: 0.423, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9812, loss_cls: 2.7805, loss: 2.7805 +2025-05-14 05:19:56,812 - pyskl - INFO - Epoch [46][1100/2506] lr: 1.975e-02, eta: 1 day, 6:58:44, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8500, top5_acc: 0.9862, loss_cls: 2.7513, loss: 2.7513 +2025-05-14 05:20:38,842 - pyskl - INFO - Epoch [46][1200/2506] lr: 1.975e-02, eta: 1 day, 6:58:00, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9775, loss_cls: 2.8538, loss: 2.8538 +2025-05-14 05:21:20,284 - pyskl - INFO - Epoch [46][1300/2506] lr: 1.974e-02, eta: 1 day, 6:57:15, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9862, loss_cls: 2.7327, loss: 2.7327 +2025-05-14 05:22:02,124 - pyskl - INFO - Epoch [46][1400/2506] lr: 1.973e-02, eta: 1 day, 6:56:31, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8625, top5_acc: 0.9794, loss_cls: 2.7872, loss: 2.7872 +2025-05-14 05:22:43,700 - pyskl - INFO - Epoch [46][1500/2506] lr: 1.972e-02, eta: 1 day, 6:55:46, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9812, loss_cls: 2.6199, loss: 2.6199 +2025-05-14 05:23:25,493 - pyskl - INFO - Epoch [46][1600/2506] lr: 1.971e-02, eta: 1 day, 6:55:02, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9881, loss_cls: 2.7735, loss: 2.7735 +2025-05-14 05:24:07,341 - pyskl - INFO - Epoch [46][1700/2506] lr: 1.970e-02, eta: 1 day, 6:54:17, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 2.8813, loss: 2.8813 +2025-05-14 05:24:49,301 - pyskl - INFO - Epoch [46][1800/2506] lr: 1.969e-02, eta: 1 day, 6:53:33, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8619, top5_acc: 0.9825, loss_cls: 2.7437, loss: 2.7437 +2025-05-14 05:25:30,976 - pyskl - INFO - Epoch [46][1900/2506] lr: 1.969e-02, eta: 1 day, 6:52:49, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9819, loss_cls: 2.8101, loss: 2.8101 +2025-05-14 05:26:13,189 - pyskl - INFO - Epoch [46][2000/2506] lr: 1.968e-02, eta: 1 day, 6:52:06, time: 0.422, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 2.7212, loss: 2.7212 +2025-05-14 05:26:55,088 - pyskl - INFO - Epoch [46][2100/2506] lr: 1.967e-02, eta: 1 day, 6:51:21, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 2.6810, loss: 2.6810 +2025-05-14 05:27:36,971 - pyskl - INFO - Epoch [46][2200/2506] lr: 1.966e-02, eta: 1 day, 6:50:37, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8750, top5_acc: 0.9881, loss_cls: 2.7410, loss: 2.7410 +2025-05-14 05:28:18,367 - pyskl - INFO - Epoch [46][2300/2506] lr: 1.965e-02, eta: 1 day, 6:49:52, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9881, loss_cls: 2.7946, loss: 2.7946 +2025-05-14 05:29:00,257 - pyskl - INFO - Epoch [46][2400/2506] lr: 1.964e-02, eta: 1 day, 6:49:08, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9844, loss_cls: 2.7270, loss: 2.7270 +2025-05-14 05:29:42,204 - pyskl - INFO - Epoch [46][2500/2506] lr: 1.963e-02, eta: 1 day, 6:48:24, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 2.7340, loss: 2.7340 +2025-05-14 05:29:45,878 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-05-14 05:30:58,852 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 05:30:58,947 - pyskl - INFO - +top1_acc 0.8195 +top5_acc 0.9746 +2025-05-14 05:30:58,950 - pyskl - INFO - Epoch(val) [46][1031] top1_acc: 0.8195, top5_acc: 0.9746 +2025-05-14 05:32:07,296 - pyskl - INFO - Epoch [47][100/2506] lr: 1.963e-02, eta: 1 day, 6:48:32, time: 0.683, data_time: 0.267, memory: 10840, top1_acc: 0.8800, top5_acc: 0.9850, loss_cls: 2.6677, loss: 2.6677 +2025-05-14 05:32:48,229 - pyskl - INFO - Epoch [47][200/2506] lr: 1.962e-02, eta: 1 day, 6:47:45, time: 0.409, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9838, loss_cls: 2.7153, loss: 2.7153 +2025-05-14 05:33:29,881 - pyskl - INFO - Epoch [47][300/2506] lr: 1.961e-02, eta: 1 day, 6:47:01, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8781, top5_acc: 0.9806, loss_cls: 2.6559, loss: 2.6559 +2025-05-14 05:34:10,694 - pyskl - INFO - Epoch [47][400/2506] lr: 1.960e-02, eta: 1 day, 6:46:14, time: 0.408, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9806, loss_cls: 2.8048, loss: 2.8048 +2025-05-14 05:34:51,738 - pyskl - INFO - Epoch [47][500/2506] lr: 1.959e-02, eta: 1 day, 6:45:28, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8838, top5_acc: 0.9838, loss_cls: 2.6646, loss: 2.6646 +2025-05-14 05:35:32,214 - pyskl - INFO - Epoch [47][600/2506] lr: 1.958e-02, eta: 1 day, 6:44:41, time: 0.405, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 2.7255, loss: 2.7255 +2025-05-14 05:36:13,917 - pyskl - INFO - Epoch [47][700/2506] lr: 1.957e-02, eta: 1 day, 6:43:56, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 2.7271, loss: 2.7271 +2025-05-14 05:36:55,367 - pyskl - INFO - Epoch [47][800/2506] lr: 1.957e-02, eta: 1 day, 6:43:11, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9806, loss_cls: 2.8382, loss: 2.8382 +2025-05-14 05:37:36,964 - pyskl - INFO - Epoch [47][900/2506] lr: 1.956e-02, eta: 1 day, 6:42:27, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8606, top5_acc: 0.9800, loss_cls: 2.8157, loss: 2.8157 +2025-05-14 05:38:18,789 - pyskl - INFO - Epoch [47][1000/2506] lr: 1.955e-02, eta: 1 day, 6:41:42, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9819, loss_cls: 2.7100, loss: 2.7100 +2025-05-14 05:39:00,988 - pyskl - INFO - Epoch [47][1100/2506] lr: 1.954e-02, eta: 1 day, 6:40:59, time: 0.422, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9856, loss_cls: 2.7992, loss: 2.7992 +2025-05-14 05:39:42,872 - pyskl - INFO - Epoch [47][1200/2506] lr: 1.953e-02, eta: 1 day, 6:40:15, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8819, top5_acc: 0.9819, loss_cls: 2.7344, loss: 2.7344 +2025-05-14 05:40:24,172 - pyskl - INFO - Epoch [47][1300/2506] lr: 1.952e-02, eta: 1 day, 6:39:30, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8762, top5_acc: 0.9819, loss_cls: 2.6186, loss: 2.6186 +2025-05-14 05:41:05,964 - pyskl - INFO - Epoch [47][1400/2506] lr: 1.951e-02, eta: 1 day, 6:38:45, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8750, top5_acc: 0.9812, loss_cls: 2.7408, loss: 2.7408 +2025-05-14 05:41:46,864 - pyskl - INFO - Epoch [47][1500/2506] lr: 1.950e-02, eta: 1 day, 6:37:59, time: 0.409, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 2.8320, loss: 2.8320 +2025-05-14 05:42:28,816 - pyskl - INFO - Epoch [47][1600/2506] lr: 1.950e-02, eta: 1 day, 6:37:15, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8662, top5_acc: 0.9819, loss_cls: 2.7565, loss: 2.7565 +2025-05-14 05:43:10,432 - pyskl - INFO - Epoch [47][1700/2506] lr: 1.949e-02, eta: 1 day, 6:36:31, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9819, loss_cls: 2.7729, loss: 2.7729 +2025-05-14 05:43:51,887 - pyskl - INFO - Epoch [47][1800/2506] lr: 1.948e-02, eta: 1 day, 6:35:46, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 2.6784, loss: 2.6784 +2025-05-14 05:44:33,412 - pyskl - INFO - Epoch [47][1900/2506] lr: 1.947e-02, eta: 1 day, 6:35:01, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 2.7496, loss: 2.7496 +2025-05-14 05:45:15,482 - pyskl - INFO - Epoch [47][2000/2506] lr: 1.946e-02, eta: 1 day, 6:34:17, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 2.7631, loss: 2.7631 +2025-05-14 05:45:57,444 - pyskl - INFO - Epoch [47][2100/2506] lr: 1.945e-02, eta: 1 day, 6:33:33, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 2.7487, loss: 2.7487 +2025-05-14 05:46:38,102 - pyskl - INFO - Epoch [47][2200/2506] lr: 1.944e-02, eta: 1 day, 6:32:46, time: 0.407, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 2.7238, loss: 2.7238 +2025-05-14 05:47:20,103 - pyskl - INFO - Epoch [47][2300/2506] lr: 1.944e-02, eta: 1 day, 6:32:03, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9825, loss_cls: 2.8246, loss: 2.8246 +2025-05-14 05:48:01,949 - pyskl - INFO - Epoch [47][2400/2506] lr: 1.943e-02, eta: 1 day, 6:31:19, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8606, top5_acc: 0.9794, loss_cls: 2.8313, loss: 2.8313 +2025-05-14 05:48:43,496 - pyskl - INFO - Epoch [47][2500/2506] lr: 1.942e-02, eta: 1 day, 6:30:34, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8719, top5_acc: 0.9856, loss_cls: 2.7308, loss: 2.7308 +2025-05-14 05:48:46,668 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-05-14 05:49:59,487 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 05:49:59,554 - pyskl - INFO - +top1_acc 0.7997 +top5_acc 0.9669 +2025-05-14 05:49:59,557 - pyskl - INFO - Epoch(val) [47][1031] top1_acc: 0.7997, top5_acc: 0.9669 +2025-05-14 05:51:08,845 - pyskl - INFO - Epoch [48][100/2506] lr: 1.941e-02, eta: 1 day, 6:30:42, time: 0.693, data_time: 0.275, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9931, loss_cls: 2.7093, loss: 2.7093 +2025-05-14 05:51:50,701 - pyskl - INFO - Epoch [48][200/2506] lr: 1.940e-02, eta: 1 day, 6:29:58, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8625, top5_acc: 0.9844, loss_cls: 2.8322, loss: 2.8322 +2025-05-14 05:52:32,731 - pyskl - INFO - Epoch [48][300/2506] lr: 1.939e-02, eta: 1 day, 6:29:14, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.7031, loss: 2.7031 +2025-05-14 05:53:14,295 - pyskl - INFO - Epoch [48][400/2506] lr: 1.938e-02, eta: 1 day, 6:28:29, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 2.6510, loss: 2.6510 +2025-05-14 05:53:55,777 - pyskl - INFO - Epoch [48][500/2506] lr: 1.937e-02, eta: 1 day, 6:27:44, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 2.6783, loss: 2.6783 +2025-05-14 05:54:37,741 - pyskl - INFO - Epoch [48][600/2506] lr: 1.937e-02, eta: 1 day, 6:27:00, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9869, loss_cls: 2.7223, loss: 2.7223 +2025-05-14 05:55:19,608 - pyskl - INFO - Epoch [48][700/2506] lr: 1.936e-02, eta: 1 day, 6:26:16, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9850, loss_cls: 2.7849, loss: 2.7849 +2025-05-14 05:56:01,529 - pyskl - INFO - Epoch [48][800/2506] lr: 1.935e-02, eta: 1 day, 6:25:32, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 2.6653, loss: 2.6653 +2025-05-14 05:56:42,880 - pyskl - INFO - Epoch [48][900/2506] lr: 1.934e-02, eta: 1 day, 6:24:47, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9794, loss_cls: 2.8214, loss: 2.8214 +2025-05-14 05:57:23,872 - pyskl - INFO - Epoch [48][1000/2506] lr: 1.933e-02, eta: 1 day, 6:24:01, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9881, loss_cls: 2.6844, loss: 2.6844 +2025-05-14 05:58:05,317 - pyskl - INFO - Epoch [48][1100/2506] lr: 1.932e-02, eta: 1 day, 6:23:16, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8700, top5_acc: 0.9900, loss_cls: 2.7345, loss: 2.7345 +2025-05-14 05:58:47,180 - pyskl - INFO - Epoch [48][1200/2506] lr: 1.931e-02, eta: 1 day, 6:22:32, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8588, top5_acc: 0.9806, loss_cls: 2.7221, loss: 2.7221 +2025-05-14 05:59:28,888 - pyskl - INFO - Epoch [48][1300/2506] lr: 1.930e-02, eta: 1 day, 6:21:47, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8600, top5_acc: 0.9812, loss_cls: 2.7885, loss: 2.7885 +2025-05-14 06:00:10,608 - pyskl - INFO - Epoch [48][1400/2506] lr: 1.930e-02, eta: 1 day, 6:21:03, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9806, loss_cls: 2.7726, loss: 2.7726 +2025-05-14 06:00:52,172 - pyskl - INFO - Epoch [48][1500/2506] lr: 1.929e-02, eta: 1 day, 6:20:18, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9894, loss_cls: 2.7726, loss: 2.7726 +2025-05-14 06:01:33,216 - pyskl - INFO - Epoch [48][1600/2506] lr: 1.928e-02, eta: 1 day, 6:19:33, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 2.7292, loss: 2.7292 +2025-05-14 06:02:14,666 - pyskl - INFO - Epoch [48][1700/2506] lr: 1.927e-02, eta: 1 day, 6:18:48, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 2.7814, loss: 2.7814 +2025-05-14 06:02:56,665 - pyskl - INFO - Epoch [48][1800/2506] lr: 1.926e-02, eta: 1 day, 6:18:04, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9812, loss_cls: 2.7424, loss: 2.7424 +2025-05-14 06:03:38,420 - pyskl - INFO - Epoch [48][1900/2506] lr: 1.925e-02, eta: 1 day, 6:17:20, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 2.7881, loss: 2.7881 +2025-05-14 06:04:20,473 - pyskl - INFO - Epoch [48][2000/2506] lr: 1.924e-02, eta: 1 day, 6:16:36, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8762, top5_acc: 0.9850, loss_cls: 2.6709, loss: 2.6709 +2025-05-14 06:05:02,433 - pyskl - INFO - Epoch [48][2100/2506] lr: 1.923e-02, eta: 1 day, 6:15:52, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9888, loss_cls: 2.7373, loss: 2.7373 +2025-05-14 06:05:44,568 - pyskl - INFO - Epoch [48][2200/2506] lr: 1.922e-02, eta: 1 day, 6:15:09, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 2.6813, loss: 2.6813 +2025-05-14 06:06:26,267 - pyskl - INFO - Epoch [48][2300/2506] lr: 1.922e-02, eta: 1 day, 6:14:24, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8612, top5_acc: 0.9856, loss_cls: 2.7509, loss: 2.7509 +2025-05-14 06:07:07,692 - pyskl - INFO - Epoch [48][2400/2506] lr: 1.921e-02, eta: 1 day, 6:13:39, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9812, loss_cls: 2.8887, loss: 2.8887 +2025-05-14 06:07:48,872 - pyskl - INFO - Epoch [48][2500/2506] lr: 1.920e-02, eta: 1 day, 6:12:54, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8738, top5_acc: 0.9856, loss_cls: 2.7303, loss: 2.7303 +2025-05-14 06:07:52,078 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-05-14 06:09:03,648 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 06:09:03,752 - pyskl - INFO - +top1_acc 0.8252 +top5_acc 0.9660 +2025-05-14 06:09:03,756 - pyskl - INFO - Epoch(val) [48][1031] top1_acc: 0.8252, top5_acc: 0.9660 +2025-05-14 06:10:11,365 - pyskl - INFO - Epoch [49][100/2506] lr: 1.919e-02, eta: 1 day, 6:12:56, time: 0.676, data_time: 0.258, memory: 10840, top1_acc: 0.8919, top5_acc: 0.9806, loss_cls: 2.6711, loss: 2.6711 +2025-05-14 06:10:51,609 - pyskl - INFO - Epoch [49][200/2506] lr: 1.918e-02, eta: 1 day, 6:12:09, time: 0.402, data_time: 0.000, memory: 10840, top1_acc: 0.8769, top5_acc: 0.9844, loss_cls: 2.6628, loss: 2.6628 +2025-05-14 06:11:32,746 - pyskl - INFO - Epoch [49][300/2506] lr: 1.917e-02, eta: 1 day, 6:11:23, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 2.6462, loss: 2.6462 +2025-05-14 06:12:14,483 - pyskl - INFO - Epoch [49][400/2506] lr: 1.916e-02, eta: 1 day, 6:10:39, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8669, top5_acc: 0.9900, loss_cls: 2.7298, loss: 2.7298 +2025-05-14 06:12:56,311 - pyskl - INFO - Epoch [49][500/2506] lr: 1.915e-02, eta: 1 day, 6:09:55, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 2.6746, loss: 2.6746 +2025-05-14 06:13:38,253 - pyskl - INFO - Epoch [49][600/2506] lr: 1.914e-02, eta: 1 day, 6:09:11, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9894, loss_cls: 2.7077, loss: 2.7077 +2025-05-14 06:14:20,005 - pyskl - INFO - Epoch [49][700/2506] lr: 1.914e-02, eta: 1 day, 6:08:27, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9894, loss_cls: 2.7155, loss: 2.7155 +2025-05-14 06:15:01,868 - pyskl - INFO - Epoch [49][800/2506] lr: 1.913e-02, eta: 1 day, 6:07:43, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9881, loss_cls: 2.7140, loss: 2.7140 +2025-05-14 06:15:44,066 - pyskl - INFO - Epoch [49][900/2506] lr: 1.912e-02, eta: 1 day, 6:06:59, time: 0.422, data_time: 0.000, memory: 10840, top1_acc: 0.8738, top5_acc: 0.9869, loss_cls: 2.7674, loss: 2.7674 +2025-05-14 06:16:25,948 - pyskl - INFO - Epoch [49][1000/2506] lr: 1.911e-02, eta: 1 day, 6:06:15, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 2.6717, loss: 2.6717 +2025-05-14 06:17:08,028 - pyskl - INFO - Epoch [49][1100/2506] lr: 1.910e-02, eta: 1 day, 6:05:32, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8594, top5_acc: 0.9819, loss_cls: 2.7124, loss: 2.7124 +2025-05-14 06:17:49,897 - pyskl - INFO - Epoch [49][1200/2506] lr: 1.909e-02, eta: 1 day, 6:04:48, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9906, loss_cls: 2.7363, loss: 2.7363 +2025-05-14 06:18:31,664 - pyskl - INFO - Epoch [49][1300/2506] lr: 1.908e-02, eta: 1 day, 6:04:03, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9831, loss_cls: 2.7251, loss: 2.7251 +2025-05-14 06:19:12,571 - pyskl - INFO - Epoch [49][1400/2506] lr: 1.907e-02, eta: 1 day, 6:03:17, time: 0.409, data_time: 0.000, memory: 10840, top1_acc: 0.8781, top5_acc: 0.9850, loss_cls: 2.7005, loss: 2.7005 +2025-05-14 06:19:53,202 - pyskl - INFO - Epoch [49][1500/2506] lr: 1.907e-02, eta: 1 day, 6:02:31, time: 0.406, data_time: 0.000, memory: 10840, top1_acc: 0.8575, top5_acc: 0.9788, loss_cls: 2.7644, loss: 2.7644 +2025-05-14 06:20:33,796 - pyskl - INFO - Epoch [49][1600/2506] lr: 1.906e-02, eta: 1 day, 6:01:44, time: 0.406, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9788, loss_cls: 2.7940, loss: 2.7940 +2025-05-14 06:21:15,213 - pyskl - INFO - Epoch [49][1700/2506] lr: 1.905e-02, eta: 1 day, 6:00:59, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8612, top5_acc: 0.9762, loss_cls: 2.8963, loss: 2.8963 +2025-05-14 06:21:57,113 - pyskl - INFO - Epoch [49][1800/2506] lr: 1.904e-02, eta: 1 day, 6:00:15, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9825, loss_cls: 2.8083, loss: 2.8083 +2025-05-14 06:22:39,001 - pyskl - INFO - Epoch [49][1900/2506] lr: 1.903e-02, eta: 1 day, 5:59:31, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9869, loss_cls: 2.7950, loss: 2.7950 +2025-05-14 06:23:20,731 - pyskl - INFO - Epoch [49][2000/2506] lr: 1.902e-02, eta: 1 day, 5:58:47, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9819, loss_cls: 2.7796, loss: 2.7796 +2025-05-14 06:24:02,573 - pyskl - INFO - Epoch [49][2100/2506] lr: 1.901e-02, eta: 1 day, 5:58:03, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8612, top5_acc: 0.9844, loss_cls: 2.7406, loss: 2.7406 +2025-05-14 06:24:44,619 - pyskl - INFO - Epoch [49][2200/2506] lr: 1.900e-02, eta: 1 day, 5:57:19, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9781, loss_cls: 2.7405, loss: 2.7405 +2025-05-14 06:25:26,987 - pyskl - INFO - Epoch [49][2300/2506] lr: 1.899e-02, eta: 1 day, 5:56:36, time: 0.424, data_time: 0.000, memory: 10840, top1_acc: 0.8750, top5_acc: 0.9850, loss_cls: 2.6930, loss: 2.6930 +2025-05-14 06:26:08,771 - pyskl - INFO - Epoch [49][2400/2506] lr: 1.898e-02, eta: 1 day, 5:55:52, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8612, top5_acc: 0.9875, loss_cls: 2.7964, loss: 2.7964 +2025-05-14 06:26:50,693 - pyskl - INFO - Epoch [49][2500/2506] lr: 1.898e-02, eta: 1 day, 5:55:08, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9825, loss_cls: 2.7837, loss: 2.7837 +2025-05-14 06:26:53,803 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-05-14 06:28:05,360 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 06:28:05,428 - pyskl - INFO - +top1_acc 0.7870 +top5_acc 0.9641 +2025-05-14 06:28:05,431 - pyskl - INFO - Epoch(val) [49][1031] top1_acc: 0.7870, top5_acc: 0.9641 +2025-05-14 06:29:13,995 - pyskl - INFO - Epoch [50][100/2506] lr: 1.897e-02, eta: 1 day, 5:55:12, time: 0.686, data_time: 0.276, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.6775, loss: 2.6775 +2025-05-14 06:29:55,760 - pyskl - INFO - Epoch [50][200/2506] lr: 1.896e-02, eta: 1 day, 5:54:27, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 2.6116, loss: 2.6116 +2025-05-14 06:30:37,245 - pyskl - INFO - Epoch [50][300/2506] lr: 1.895e-02, eta: 1 day, 5:53:43, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 2.6965, loss: 2.6965 +2025-05-14 06:31:19,048 - pyskl - INFO - Epoch [50][400/2506] lr: 1.894e-02, eta: 1 day, 5:52:58, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9819, loss_cls: 2.8264, loss: 2.8264 +2025-05-14 06:32:00,826 - pyskl - INFO - Epoch [50][500/2506] lr: 1.893e-02, eta: 1 day, 5:52:14, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8800, top5_acc: 0.9806, loss_cls: 2.7194, loss: 2.7194 +2025-05-14 06:32:42,576 - pyskl - INFO - Epoch [50][600/2506] lr: 1.892e-02, eta: 1 day, 5:51:30, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8569, top5_acc: 0.9869, loss_cls: 2.7382, loss: 2.7382 +2025-05-14 06:33:24,548 - pyskl - INFO - Epoch [50][700/2506] lr: 1.891e-02, eta: 1 day, 5:50:46, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9862, loss_cls: 2.7466, loss: 2.7466 +2025-05-14 06:34:06,008 - pyskl - INFO - Epoch [50][800/2506] lr: 1.890e-02, eta: 1 day, 5:50:01, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 2.7207, loss: 2.7207 +2025-05-14 06:34:46,759 - pyskl - INFO - Epoch [50][900/2506] lr: 1.889e-02, eta: 1 day, 5:49:15, time: 0.408, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9806, loss_cls: 2.6680, loss: 2.6680 +2025-05-14 06:35:28,609 - pyskl - INFO - Epoch [50][1000/2506] lr: 1.889e-02, eta: 1 day, 5:48:31, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8719, top5_acc: 0.9881, loss_cls: 2.7061, loss: 2.7061 +2025-05-14 06:36:10,557 - pyskl - INFO - Epoch [50][1100/2506] lr: 1.888e-02, eta: 1 day, 5:47:47, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8738, top5_acc: 0.9875, loss_cls: 2.6858, loss: 2.6858 +2025-05-14 06:36:52,540 - pyskl - INFO - Epoch [50][1200/2506] lr: 1.887e-02, eta: 1 day, 5:47:04, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8588, top5_acc: 0.9844, loss_cls: 2.7724, loss: 2.7724 +2025-05-14 06:37:34,557 - pyskl - INFO - Epoch [50][1300/2506] lr: 1.886e-02, eta: 1 day, 5:46:20, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 2.6570, loss: 2.6570 +2025-05-14 06:38:16,497 - pyskl - INFO - Epoch [50][1400/2506] lr: 1.885e-02, eta: 1 day, 5:45:36, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9881, loss_cls: 2.7477, loss: 2.7477 +2025-05-14 06:38:58,613 - pyskl - INFO - Epoch [50][1500/2506] lr: 1.884e-02, eta: 1 day, 5:44:53, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9838, loss_cls: 2.8050, loss: 2.8050 +2025-05-14 06:39:40,256 - pyskl - INFO - Epoch [50][1600/2506] lr: 1.883e-02, eta: 1 day, 5:44:08, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8794, top5_acc: 0.9831, loss_cls: 2.7661, loss: 2.7661 +2025-05-14 06:40:21,820 - pyskl - INFO - Epoch [50][1700/2506] lr: 1.882e-02, eta: 1 day, 5:43:24, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9831, loss_cls: 2.7316, loss: 2.7316 +2025-05-14 06:41:03,936 - pyskl - INFO - Epoch [50][1800/2506] lr: 1.881e-02, eta: 1 day, 5:42:40, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 2.6118, loss: 2.6118 +2025-05-14 06:41:45,848 - pyskl - INFO - Epoch [50][1900/2506] lr: 1.880e-02, eta: 1 day, 5:41:56, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 2.7566, loss: 2.7566 +2025-05-14 06:42:27,718 - pyskl - INFO - Epoch [50][2000/2506] lr: 1.880e-02, eta: 1 day, 5:41:12, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 2.7611, loss: 2.7611 +2025-05-14 06:43:09,930 - pyskl - INFO - Epoch [50][2100/2506] lr: 1.879e-02, eta: 1 day, 5:40:29, time: 0.422, data_time: 0.000, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9800, loss_cls: 2.6879, loss: 2.6879 +2025-05-14 06:43:51,729 - pyskl - INFO - Epoch [50][2200/2506] lr: 1.878e-02, eta: 1 day, 5:39:45, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9856, loss_cls: 2.6859, loss: 2.6859 +2025-05-14 06:44:33,800 - pyskl - INFO - Epoch [50][2300/2506] lr: 1.877e-02, eta: 1 day, 5:39:01, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 2.6891, loss: 2.6891 +2025-05-14 06:45:15,417 - pyskl - INFO - Epoch [50][2400/2506] lr: 1.876e-02, eta: 1 day, 5:38:17, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9831, loss_cls: 2.7835, loss: 2.7835 +2025-05-14 06:45:57,214 - pyskl - INFO - Epoch [50][2500/2506] lr: 1.875e-02, eta: 1 day, 5:37:33, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9831, loss_cls: 2.7380, loss: 2.7380 +2025-05-14 06:46:00,419 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-05-14 06:47:13,362 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 06:47:13,462 - pyskl - INFO - +top1_acc 0.8407 +top5_acc 0.9752 +2025-05-14 06:47:13,555 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_43.pth was removed +2025-05-14 06:47:15,144 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_50.pth. +2025-05-14 06:47:15,144 - pyskl - INFO - Best top1_acc is 0.8407 at 50 epoch. +2025-05-14 06:47:15,147 - pyskl - INFO - Epoch(val) [50][1031] top1_acc: 0.8407, top5_acc: 0.9752 +2025-05-14 06:48:23,933 - pyskl - INFO - Epoch [51][100/2506] lr: 1.874e-02, eta: 1 day, 5:37:35, time: 0.688, data_time: 0.266, memory: 10840, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 2.7042, loss: 2.7042 +2025-05-14 06:49:05,765 - pyskl - INFO - Epoch [51][200/2506] lr: 1.873e-02, eta: 1 day, 5:36:51, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8894, top5_acc: 0.9900, loss_cls: 2.6153, loss: 2.6153 +2025-05-14 06:49:47,471 - pyskl - INFO - Epoch [51][300/2506] lr: 1.872e-02, eta: 1 day, 5:36:07, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9806, loss_cls: 2.6638, loss: 2.6638 +2025-05-14 06:50:29,457 - pyskl - INFO - Epoch [51][400/2506] lr: 1.871e-02, eta: 1 day, 5:35:23, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 2.6072, loss: 2.6072 +2025-05-14 06:51:11,504 - pyskl - INFO - Epoch [51][500/2506] lr: 1.870e-02, eta: 1 day, 5:34:39, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 2.5418, loss: 2.5418 +2025-05-14 06:51:53,221 - pyskl - INFO - Epoch [51][600/2506] lr: 1.870e-02, eta: 1 day, 5:33:55, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 2.6423, loss: 2.6423 +2025-05-14 06:52:35,392 - pyskl - INFO - Epoch [51][700/2506] lr: 1.869e-02, eta: 1 day, 5:33:12, time: 0.422, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9838, loss_cls: 2.7764, loss: 2.7764 +2025-05-14 06:53:17,051 - pyskl - INFO - Epoch [51][800/2506] lr: 1.868e-02, eta: 1 day, 5:32:27, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 2.7475, loss: 2.7475 +2025-05-14 06:53:58,135 - pyskl - INFO - Epoch [51][900/2506] lr: 1.867e-02, eta: 1 day, 5:31:42, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 2.5866, loss: 2.5866 +2025-05-14 06:54:39,513 - pyskl - INFO - Epoch [51][1000/2506] lr: 1.866e-02, eta: 1 day, 5:30:57, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8944, top5_acc: 0.9888, loss_cls: 2.5538, loss: 2.5538 +2025-05-14 06:55:21,351 - pyskl - INFO - Epoch [51][1100/2506] lr: 1.865e-02, eta: 1 day, 5:30:13, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9856, loss_cls: 2.6932, loss: 2.6932 +2025-05-14 06:56:02,988 - pyskl - INFO - Epoch [51][1200/2506] lr: 1.864e-02, eta: 1 day, 5:29:28, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9806, loss_cls: 2.7644, loss: 2.7644 +2025-05-14 06:56:44,437 - pyskl - INFO - Epoch [51][1300/2506] lr: 1.863e-02, eta: 1 day, 5:28:44, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8794, top5_acc: 0.9838, loss_cls: 2.7008, loss: 2.7008 +2025-05-14 06:57:26,455 - pyskl - INFO - Epoch [51][1400/2506] lr: 1.862e-02, eta: 1 day, 5:28:00, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9894, loss_cls: 2.7368, loss: 2.7368 +2025-05-14 06:58:07,497 - pyskl - INFO - Epoch [51][1500/2506] lr: 1.861e-02, eta: 1 day, 5:27:14, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 2.6751, loss: 2.6751 +2025-05-14 06:58:48,358 - pyskl - INFO - Epoch [51][1600/2506] lr: 1.860e-02, eta: 1 day, 5:26:28, time: 0.409, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 2.6950, loss: 2.6950 +2025-05-14 06:59:29,397 - pyskl - INFO - Epoch [51][1700/2506] lr: 1.860e-02, eta: 1 day, 5:25:43, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8519, top5_acc: 0.9812, loss_cls: 2.7824, loss: 2.7824 +2025-05-14 07:00:11,108 - pyskl - INFO - Epoch [51][1800/2506] lr: 1.859e-02, eta: 1 day, 5:24:59, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9844, loss_cls: 2.7356, loss: 2.7356 +2025-05-14 07:00:52,905 - pyskl - INFO - Epoch [51][1900/2506] lr: 1.858e-02, eta: 1 day, 5:24:15, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 2.7007, loss: 2.7007 +2025-05-14 07:01:34,586 - pyskl - INFO - Epoch [51][2000/2506] lr: 1.857e-02, eta: 1 day, 5:23:30, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8756, top5_acc: 0.9831, loss_cls: 2.7264, loss: 2.7264 +2025-05-14 07:02:16,470 - pyskl - INFO - Epoch [51][2100/2506] lr: 1.856e-02, eta: 1 day, 5:22:46, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8550, top5_acc: 0.9794, loss_cls: 2.8516, loss: 2.8516 +2025-05-14 07:02:58,829 - pyskl - INFO - Epoch [51][2200/2506] lr: 1.855e-02, eta: 1 day, 5:22:03, time: 0.424, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9800, loss_cls: 2.7559, loss: 2.7559 +2025-05-14 07:03:40,829 - pyskl - INFO - Epoch [51][2300/2506] lr: 1.854e-02, eta: 1 day, 5:21:20, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8762, top5_acc: 0.9881, loss_cls: 2.6982, loss: 2.6982 +2025-05-14 07:04:22,322 - pyskl - INFO - Epoch [51][2400/2506] lr: 1.853e-02, eta: 1 day, 5:20:35, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9800, loss_cls: 2.7421, loss: 2.7421 +2025-05-14 07:05:03,920 - pyskl - INFO - Epoch [51][2500/2506] lr: 1.852e-02, eta: 1 day, 5:19:51, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9912, loss_cls: 2.7294, loss: 2.7294 +2025-05-14 07:05:07,084 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-05-14 07:06:19,198 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 07:06:19,268 - pyskl - INFO - +top1_acc 0.8159 +top5_acc 0.9730 +2025-05-14 07:06:19,272 - pyskl - INFO - Epoch(val) [51][1031] top1_acc: 0.8159, top5_acc: 0.9730 +2025-05-14 07:07:26,536 - pyskl - INFO - Epoch [52][100/2506] lr: 1.851e-02, eta: 1 day, 5:19:48, time: 0.673, data_time: 0.256, memory: 10840, top1_acc: 0.8794, top5_acc: 0.9812, loss_cls: 2.6741, loss: 2.6741 +2025-05-14 07:08:08,194 - pyskl - INFO - Epoch [52][200/2506] lr: 1.850e-02, eta: 1 day, 5:19:04, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 2.5928, loss: 2.5928 +2025-05-14 07:08:49,640 - pyskl - INFO - Epoch [52][300/2506] lr: 1.849e-02, eta: 1 day, 5:18:19, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 2.6718, loss: 2.6718 +2025-05-14 07:09:31,324 - pyskl - INFO - Epoch [52][400/2506] lr: 1.849e-02, eta: 1 day, 5:17:35, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 2.5979, loss: 2.5979 +2025-05-14 07:10:13,376 - pyskl - INFO - Epoch [52][500/2506] lr: 1.848e-02, eta: 1 day, 5:16:51, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8956, top5_acc: 0.9831, loss_cls: 2.6388, loss: 2.6388 +2025-05-14 07:10:54,309 - pyskl - INFO - Epoch [52][600/2506] lr: 1.847e-02, eta: 1 day, 5:16:06, time: 0.409, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 2.5798, loss: 2.5798 +2025-05-14 07:11:35,877 - pyskl - INFO - Epoch [52][700/2506] lr: 1.846e-02, eta: 1 day, 5:15:21, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 2.6681, loss: 2.6681 +2025-05-14 07:12:17,852 - pyskl - INFO - Epoch [52][800/2506] lr: 1.845e-02, eta: 1 day, 5:14:37, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8700, top5_acc: 0.9856, loss_cls: 2.7368, loss: 2.7368 +2025-05-14 07:12:59,813 - pyskl - INFO - Epoch [52][900/2506] lr: 1.844e-02, eta: 1 day, 5:13:54, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 2.7768, loss: 2.7768 +2025-05-14 07:13:41,633 - pyskl - INFO - Epoch [52][1000/2506] lr: 1.843e-02, eta: 1 day, 5:13:10, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9894, loss_cls: 2.7189, loss: 2.7189 +2025-05-14 07:14:22,769 - pyskl - INFO - Epoch [52][1100/2506] lr: 1.842e-02, eta: 1 day, 5:12:24, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 2.5950, loss: 2.5950 +2025-05-14 07:15:03,918 - pyskl - INFO - Epoch [52][1200/2506] lr: 1.841e-02, eta: 1 day, 5:11:39, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8831, top5_acc: 0.9838, loss_cls: 2.6012, loss: 2.6012 +2025-05-14 07:15:45,153 - pyskl - INFO - Epoch [52][1300/2506] lr: 1.840e-02, eta: 1 day, 5:10:54, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8794, top5_acc: 0.9831, loss_cls: 2.6824, loss: 2.6824 +2025-05-14 07:16:26,892 - pyskl - INFO - Epoch [52][1400/2506] lr: 1.839e-02, eta: 1 day, 5:10:10, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 2.6953, loss: 2.6953 +2025-05-14 07:17:08,756 - pyskl - INFO - Epoch [52][1500/2506] lr: 1.838e-02, eta: 1 day, 5:09:26, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8862, top5_acc: 0.9831, loss_cls: 2.5775, loss: 2.5775 +2025-05-14 07:17:50,385 - pyskl - INFO - Epoch [52][1600/2506] lr: 1.838e-02, eta: 1 day, 5:08:42, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9812, loss_cls: 2.7656, loss: 2.7656 +2025-05-14 07:18:32,398 - pyskl - INFO - Epoch [52][1700/2506] lr: 1.837e-02, eta: 1 day, 5:07:58, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9862, loss_cls: 2.6851, loss: 2.6851 +2025-05-14 07:19:13,936 - pyskl - INFO - Epoch [52][1800/2506] lr: 1.836e-02, eta: 1 day, 5:07:13, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9838, loss_cls: 2.7869, loss: 2.7869 +2025-05-14 07:19:55,754 - pyskl - INFO - Epoch [52][1900/2506] lr: 1.835e-02, eta: 1 day, 5:06:29, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8756, top5_acc: 0.9900, loss_cls: 2.6990, loss: 2.6990 +2025-05-14 07:20:37,700 - pyskl - INFO - Epoch [52][2000/2506] lr: 1.834e-02, eta: 1 day, 5:05:46, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 2.7050, loss: 2.7050 +2025-05-14 07:21:19,594 - pyskl - INFO - Epoch [52][2100/2506] lr: 1.833e-02, eta: 1 day, 5:05:02, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8819, top5_acc: 0.9806, loss_cls: 2.6190, loss: 2.6190 +2025-05-14 07:22:00,824 - pyskl - INFO - Epoch [52][2200/2506] lr: 1.832e-02, eta: 1 day, 5:04:17, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9875, loss_cls: 2.6858, loss: 2.6858 +2025-05-14 07:22:42,395 - pyskl - INFO - Epoch [52][2300/2506] lr: 1.831e-02, eta: 1 day, 5:03:32, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 2.6459, loss: 2.6459 +2025-05-14 07:23:24,312 - pyskl - INFO - Epoch [52][2400/2506] lr: 1.830e-02, eta: 1 day, 5:02:49, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8738, top5_acc: 0.9881, loss_cls: 2.6376, loss: 2.6376 +2025-05-14 07:24:05,897 - pyskl - INFO - Epoch [52][2500/2506] lr: 1.829e-02, eta: 1 day, 5:02:04, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8562, top5_acc: 0.9838, loss_cls: 2.7788, loss: 2.7788 +2025-05-14 07:24:09,064 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-05-14 07:25:22,014 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 07:25:22,093 - pyskl - INFO - +top1_acc 0.8418 +top5_acc 0.9739 +2025-05-14 07:25:22,165 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_50.pth was removed +2025-05-14 07:25:23,527 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth. +2025-05-14 07:25:23,528 - pyskl - INFO - Best top1_acc is 0.8418 at 52 epoch. +2025-05-14 07:25:23,531 - pyskl - INFO - Epoch(val) [52][1031] top1_acc: 0.8418, top5_acc: 0.9739 +2025-05-14 07:26:33,380 - pyskl - INFO - Epoch [53][100/2506] lr: 1.828e-02, eta: 1 day, 5:02:06, time: 0.698, data_time: 0.278, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9844, loss_cls: 2.7226, loss: 2.7226 +2025-05-14 07:27:15,652 - pyskl - INFO - Epoch [53][200/2506] lr: 1.827e-02, eta: 1 day, 5:01:22, time: 0.423, data_time: 0.000, memory: 10840, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 2.5750, loss: 2.5750 +2025-05-14 07:27:57,560 - pyskl - INFO - Epoch [53][300/2506] lr: 1.826e-02, eta: 1 day, 5:00:39, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 2.5953, loss: 2.5953 +2025-05-14 07:28:39,632 - pyskl - INFO - Epoch [53][400/2506] lr: 1.825e-02, eta: 1 day, 4:59:55, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8912, top5_acc: 0.9831, loss_cls: 2.5968, loss: 2.5968 +2025-05-14 07:29:21,809 - pyskl - INFO - Epoch [53][500/2506] lr: 1.824e-02, eta: 1 day, 4:59:12, time: 0.422, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 2.6930, loss: 2.6930 +2025-05-14 07:30:03,836 - pyskl - INFO - Epoch [53][600/2506] lr: 1.824e-02, eta: 1 day, 4:58:28, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 2.6836, loss: 2.6836 +2025-05-14 07:30:45,697 - pyskl - INFO - Epoch [53][700/2506] lr: 1.823e-02, eta: 1 day, 4:57:44, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 2.6321, loss: 2.6321 +2025-05-14 07:31:27,414 - pyskl - INFO - Epoch [53][800/2506] lr: 1.822e-02, eta: 1 day, 4:57:00, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 2.6816, loss: 2.6816 +2025-05-14 07:32:08,838 - pyskl - INFO - Epoch [53][900/2506] lr: 1.821e-02, eta: 1 day, 4:56:15, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8581, top5_acc: 0.9819, loss_cls: 2.7679, loss: 2.7679 +2025-05-14 07:32:50,643 - pyskl - INFO - Epoch [53][1000/2506] lr: 1.820e-02, eta: 1 day, 4:55:31, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9875, loss_cls: 2.6886, loss: 2.6886 +2025-05-14 07:33:32,048 - pyskl - INFO - Epoch [53][1100/2506] lr: 1.819e-02, eta: 1 day, 4:54:47, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8762, top5_acc: 0.9850, loss_cls: 2.7118, loss: 2.7118 +2025-05-14 07:34:14,027 - pyskl - INFO - Epoch [53][1200/2506] lr: 1.818e-02, eta: 1 day, 4:54:03, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 2.6156, loss: 2.6156 +2025-05-14 07:34:55,983 - pyskl - INFO - Epoch [53][1300/2506] lr: 1.817e-02, eta: 1 day, 4:53:19, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8550, top5_acc: 0.9762, loss_cls: 2.7983, loss: 2.7983 +2025-05-14 07:35:37,657 - pyskl - INFO - Epoch [53][1400/2506] lr: 1.816e-02, eta: 1 day, 4:52:35, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9881, loss_cls: 2.7414, loss: 2.7414 +2025-05-14 07:36:17,889 - pyskl - INFO - Epoch [53][1500/2506] lr: 1.815e-02, eta: 1 day, 4:51:48, time: 0.402, data_time: 0.000, memory: 10840, top1_acc: 0.8700, top5_acc: 0.9812, loss_cls: 2.7414, loss: 2.7414 +2025-05-14 07:36:59,223 - pyskl - INFO - Epoch [53][1600/2506] lr: 1.814e-02, eta: 1 day, 4:51:03, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9825, loss_cls: 2.6887, loss: 2.6887 +2025-05-14 07:37:40,050 - pyskl - INFO - Epoch [53][1700/2506] lr: 1.813e-02, eta: 1 day, 4:50:17, time: 0.408, data_time: 0.000, memory: 10840, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 2.6749, loss: 2.6749 +2025-05-14 07:38:21,434 - pyskl - INFO - Epoch [53][1800/2506] lr: 1.812e-02, eta: 1 day, 4:49:33, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 2.6424, loss: 2.6424 +2025-05-14 07:39:03,331 - pyskl - INFO - Epoch [53][1900/2506] lr: 1.811e-02, eta: 1 day, 4:48:49, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 2.5825, loss: 2.5825 +2025-05-14 07:39:45,275 - pyskl - INFO - Epoch [53][2000/2506] lr: 1.811e-02, eta: 1 day, 4:48:05, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8569, top5_acc: 0.9825, loss_cls: 2.7669, loss: 2.7669 +2025-05-14 07:40:27,548 - pyskl - INFO - Epoch [53][2100/2506] lr: 1.810e-02, eta: 1 day, 4:47:22, time: 0.423, data_time: 0.000, memory: 10840, top1_acc: 0.8856, top5_acc: 0.9844, loss_cls: 2.6500, loss: 2.6500 +2025-05-14 07:41:09,458 - pyskl - INFO - Epoch [53][2200/2506] lr: 1.809e-02, eta: 1 day, 4:46:38, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8544, top5_acc: 0.9862, loss_cls: 2.7464, loss: 2.7464 +2025-05-14 07:41:51,209 - pyskl - INFO - Epoch [53][2300/2506] lr: 1.808e-02, eta: 1 day, 4:45:54, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9881, loss_cls: 2.6991, loss: 2.6991 +2025-05-14 07:42:32,859 - pyskl - INFO - Epoch [53][2400/2506] lr: 1.807e-02, eta: 1 day, 4:45:10, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 2.7792, loss: 2.7792 +2025-05-14 07:43:14,422 - pyskl - INFO - Epoch [53][2500/2506] lr: 1.806e-02, eta: 1 day, 4:44:26, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8719, top5_acc: 0.9844, loss_cls: 2.6595, loss: 2.6595 +2025-05-14 07:43:17,809 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-05-14 07:44:29,552 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 07:44:29,647 - pyskl - INFO - +top1_acc 0.8275 +top5_acc 0.9754 +2025-05-14 07:44:29,650 - pyskl - INFO - Epoch(val) [53][1031] top1_acc: 0.8275, top5_acc: 0.9754 +2025-05-14 07:45:37,352 - pyskl - INFO - Epoch [54][100/2506] lr: 1.805e-02, eta: 1 day, 4:44:22, time: 0.677, data_time: 0.264, memory: 10840, top1_acc: 0.8762, top5_acc: 0.9869, loss_cls: 2.6401, loss: 2.6401 +2025-05-14 07:46:17,791 - pyskl - INFO - Epoch [54][200/2506] lr: 1.804e-02, eta: 1 day, 4:43:35, time: 0.404, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 2.6511, loss: 2.6511 +2025-05-14 07:46:59,524 - pyskl - INFO - Epoch [54][300/2506] lr: 1.803e-02, eta: 1 day, 4:42:51, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9769, loss_cls: 2.7750, loss: 2.7750 +2025-05-14 07:47:41,398 - pyskl - INFO - Epoch [54][400/2506] lr: 1.802e-02, eta: 1 day, 4:42:07, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 2.5325, loss: 2.5325 +2025-05-14 07:48:23,193 - pyskl - INFO - Epoch [54][500/2506] lr: 1.801e-02, eta: 1 day, 4:41:23, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 2.5992, loss: 2.5992 +2025-05-14 07:49:04,980 - pyskl - INFO - Epoch [54][600/2506] lr: 1.800e-02, eta: 1 day, 4:40:39, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 2.6311, loss: 2.6311 +2025-05-14 07:49:46,834 - pyskl - INFO - Epoch [54][700/2506] lr: 1.799e-02, eta: 1 day, 4:39:55, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 2.6201, loss: 2.6201 +2025-05-14 07:50:28,008 - pyskl - INFO - Epoch [54][800/2506] lr: 1.798e-02, eta: 1 day, 4:39:10, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8669, top5_acc: 0.9825, loss_cls: 2.6701, loss: 2.6701 +2025-05-14 07:51:09,743 - pyskl - INFO - Epoch [54][900/2506] lr: 1.797e-02, eta: 1 day, 4:38:26, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9794, loss_cls: 2.7252, loss: 2.7252 +2025-05-14 07:51:51,562 - pyskl - INFO - Epoch [54][1000/2506] lr: 1.796e-02, eta: 1 day, 4:37:42, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9919, loss_cls: 2.6109, loss: 2.6109 +2025-05-14 07:52:33,057 - pyskl - INFO - Epoch [54][1100/2506] lr: 1.795e-02, eta: 1 day, 4:36:58, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8756, top5_acc: 0.9806, loss_cls: 2.6646, loss: 2.6646 +2025-05-14 07:53:14,476 - pyskl - INFO - Epoch [54][1200/2506] lr: 1.795e-02, eta: 1 day, 4:36:13, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9912, loss_cls: 2.6299, loss: 2.6299 +2025-05-14 07:53:56,472 - pyskl - INFO - Epoch [54][1300/2506] lr: 1.794e-02, eta: 1 day, 4:35:29, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8750, top5_acc: 0.9819, loss_cls: 2.6781, loss: 2.6781 +2025-05-14 07:54:38,396 - pyskl - INFO - Epoch [54][1400/2506] lr: 1.793e-02, eta: 1 day, 4:34:46, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 2.7082, loss: 2.7082 +2025-05-14 07:55:20,044 - pyskl - INFO - Epoch [54][1500/2506] lr: 1.792e-02, eta: 1 day, 4:34:01, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9812, loss_cls: 2.7034, loss: 2.7034 +2025-05-14 07:56:01,457 - pyskl - INFO - Epoch [54][1600/2506] lr: 1.791e-02, eta: 1 day, 4:33:17, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 2.6870, loss: 2.6870 +2025-05-14 07:56:42,864 - pyskl - INFO - Epoch [54][1700/2506] lr: 1.790e-02, eta: 1 day, 4:32:32, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 2.6261, loss: 2.6261 +2025-05-14 07:57:24,690 - pyskl - INFO - Epoch [54][1800/2506] lr: 1.789e-02, eta: 1 day, 4:31:48, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 2.6795, loss: 2.6795 +2025-05-14 07:58:06,566 - pyskl - INFO - Epoch [54][1900/2506] lr: 1.788e-02, eta: 1 day, 4:31:04, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8906, top5_acc: 0.9838, loss_cls: 2.6177, loss: 2.6177 +2025-05-14 07:58:48,486 - pyskl - INFO - Epoch [54][2000/2506] lr: 1.787e-02, eta: 1 day, 4:30:21, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8669, top5_acc: 0.9850, loss_cls: 2.6996, loss: 2.6996 +2025-05-14 07:59:30,032 - pyskl - INFO - Epoch [54][2100/2506] lr: 1.786e-02, eta: 1 day, 4:29:36, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 2.6512, loss: 2.6512 +2025-05-14 08:00:11,976 - pyskl - INFO - Epoch [54][2200/2506] lr: 1.785e-02, eta: 1 day, 4:28:53, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 2.6185, loss: 2.6185 +2025-05-14 08:00:54,025 - pyskl - INFO - Epoch [54][2300/2506] lr: 1.784e-02, eta: 1 day, 4:28:09, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9806, loss_cls: 2.6975, loss: 2.6975 +2025-05-14 08:01:35,791 - pyskl - INFO - Epoch [54][2400/2506] lr: 1.783e-02, eta: 1 day, 4:27:25, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8662, top5_acc: 0.9850, loss_cls: 2.7048, loss: 2.7048 +2025-05-14 08:02:17,059 - pyskl - INFO - Epoch [54][2500/2506] lr: 1.782e-02, eta: 1 day, 4:26:40, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8738, top5_acc: 0.9912, loss_cls: 2.6041, loss: 2.6041 +2025-05-14 08:02:20,158 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-05-14 08:03:32,848 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 08:03:32,923 - pyskl - INFO - +top1_acc 0.8100 +top5_acc 0.9708 +2025-05-14 08:03:32,926 - pyskl - INFO - Epoch(val) [54][1031] top1_acc: 0.8100, top5_acc: 0.9708 +2025-05-14 08:04:41,363 - pyskl - INFO - Epoch [55][100/2506] lr: 1.781e-02, eta: 1 day, 4:26:37, time: 0.684, data_time: 0.267, memory: 10840, top1_acc: 0.8850, top5_acc: 0.9844, loss_cls: 2.6294, loss: 2.6294 +2025-05-14 08:05:22,063 - pyskl - INFO - Epoch [55][200/2506] lr: 1.780e-02, eta: 1 day, 4:25:51, time: 0.407, data_time: 0.000, memory: 10840, top1_acc: 0.8862, top5_acc: 0.9850, loss_cls: 2.6299, loss: 2.6299 +2025-05-14 08:06:03,639 - pyskl - INFO - Epoch [55][300/2506] lr: 1.779e-02, eta: 1 day, 4:25:06, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 2.6592, loss: 2.6592 +2025-05-14 08:06:45,384 - pyskl - INFO - Epoch [55][400/2506] lr: 1.778e-02, eta: 1 day, 4:24:22, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9819, loss_cls: 2.6488, loss: 2.6488 +2025-05-14 08:07:26,368 - pyskl - INFO - Epoch [55][500/2506] lr: 1.778e-02, eta: 1 day, 4:23:37, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 2.7237, loss: 2.7237 +2025-05-14 08:08:08,421 - pyskl - INFO - Epoch [55][600/2506] lr: 1.777e-02, eta: 1 day, 4:22:53, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 2.6161, loss: 2.6161 +2025-05-14 08:08:49,746 - pyskl - INFO - Epoch [55][700/2506] lr: 1.776e-02, eta: 1 day, 4:22:08, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 2.6158, loss: 2.6158 +2025-05-14 08:09:31,237 - pyskl - INFO - Epoch [55][800/2506] lr: 1.775e-02, eta: 1 day, 4:21:24, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 2.6564, loss: 2.6564 +2025-05-14 08:10:12,930 - pyskl - INFO - Epoch [55][900/2506] lr: 1.774e-02, eta: 1 day, 4:20:40, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 2.5835, loss: 2.5835 +2025-05-14 08:10:53,416 - pyskl - INFO - Epoch [55][1000/2506] lr: 1.773e-02, eta: 1 day, 4:19:54, time: 0.405, data_time: 0.000, memory: 10840, top1_acc: 0.8669, top5_acc: 0.9912, loss_cls: 2.8041, loss: 2.8041 +2025-05-14 08:11:34,199 - pyskl - INFO - Epoch [55][1100/2506] lr: 1.772e-02, eta: 1 day, 4:19:08, time: 0.408, data_time: 0.000, memory: 10840, top1_acc: 0.8750, top5_acc: 0.9806, loss_cls: 2.7694, loss: 2.7694 +2025-05-14 08:12:13,952 - pyskl - INFO - Epoch [55][1200/2506] lr: 1.771e-02, eta: 1 day, 4:18:20, time: 0.398, data_time: 0.000, memory: 10840, top1_acc: 0.8700, top5_acc: 0.9844, loss_cls: 2.6591, loss: 2.6591 +2025-05-14 08:12:55,877 - pyskl - INFO - Epoch [55][1300/2506] lr: 1.770e-02, eta: 1 day, 4:17:37, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 2.7265, loss: 2.7265 +2025-05-14 08:13:37,392 - pyskl - INFO - Epoch [55][1400/2506] lr: 1.769e-02, eta: 1 day, 4:16:52, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8850, top5_acc: 0.9831, loss_cls: 2.6062, loss: 2.6062 +2025-05-14 08:14:18,448 - pyskl - INFO - Epoch [55][1500/2506] lr: 1.768e-02, eta: 1 day, 4:16:07, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 2.6642, loss: 2.6642 +2025-05-14 08:15:00,111 - pyskl - INFO - Epoch [55][1600/2506] lr: 1.767e-02, eta: 1 day, 4:15:23, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 2.6986, loss: 2.6986 +2025-05-14 08:15:41,987 - pyskl - INFO - Epoch [55][1700/2506] lr: 1.766e-02, eta: 1 day, 4:14:39, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8650, top5_acc: 0.9806, loss_cls: 2.7691, loss: 2.7691 +2025-05-14 08:16:23,860 - pyskl - INFO - Epoch [55][1800/2506] lr: 1.765e-02, eta: 1 day, 4:13:55, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 2.5747, loss: 2.5747 +2025-05-14 08:17:05,480 - pyskl - INFO - Epoch [55][1900/2506] lr: 1.764e-02, eta: 1 day, 4:13:11, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8900, top5_acc: 0.9838, loss_cls: 2.5941, loss: 2.5941 +2025-05-14 08:17:46,743 - pyskl - INFO - Epoch [55][2000/2506] lr: 1.763e-02, eta: 1 day, 4:12:26, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 2.6006, loss: 2.6006 +2025-05-14 08:18:28,256 - pyskl - INFO - Epoch [55][2100/2506] lr: 1.762e-02, eta: 1 day, 4:11:42, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 2.6939, loss: 2.6939 +2025-05-14 08:19:09,801 - pyskl - INFO - Epoch [55][2200/2506] lr: 1.761e-02, eta: 1 day, 4:10:58, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 2.6617, loss: 2.6617 +2025-05-14 08:19:51,789 - pyskl - INFO - Epoch [55][2300/2506] lr: 1.760e-02, eta: 1 day, 4:10:14, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 2.5590, loss: 2.5590 +2025-05-14 08:20:33,630 - pyskl - INFO - Epoch [55][2400/2506] lr: 1.759e-02, eta: 1 day, 4:09:30, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 2.6650, loss: 2.6650 +2025-05-14 08:21:14,669 - pyskl - INFO - Epoch [55][2500/2506] lr: 1.758e-02, eta: 1 day, 4:08:45, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 2.6293, loss: 2.6293 +2025-05-14 08:21:17,842 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-05-14 08:22:30,790 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 08:22:30,898 - pyskl - INFO - +top1_acc 0.8473 +top5_acc 0.9758 +2025-05-14 08:22:30,985 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_52.pth was removed +2025-05-14 08:22:32,612 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_55.pth. +2025-05-14 08:22:32,612 - pyskl - INFO - Best top1_acc is 0.8473 at 55 epoch. +2025-05-14 08:22:32,615 - pyskl - INFO - Epoch(val) [55][1031] top1_acc: 0.8473, top5_acc: 0.9758 +2025-05-14 08:23:40,840 - pyskl - INFO - Epoch [56][100/2506] lr: 1.757e-02, eta: 1 day, 4:08:40, time: 0.682, data_time: 0.266, memory: 10840, top1_acc: 0.8925, top5_acc: 0.9925, loss_cls: 2.6063, loss: 2.6063 +2025-05-14 08:24:22,357 - pyskl - INFO - Epoch [56][200/2506] lr: 1.757e-02, eta: 1 day, 4:07:55, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 2.5782, loss: 2.5782 +2025-05-14 08:25:04,232 - pyskl - INFO - Epoch [56][300/2506] lr: 1.756e-02, eta: 1 day, 4:07:12, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8750, top5_acc: 0.9900, loss_cls: 2.5614, loss: 2.5614 +2025-05-14 08:25:46,249 - pyskl - INFO - Epoch [56][400/2506] lr: 1.755e-02, eta: 1 day, 4:06:28, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8750, top5_acc: 0.9862, loss_cls: 2.6431, loss: 2.6431 +2025-05-14 08:26:28,119 - pyskl - INFO - Epoch [56][500/2506] lr: 1.754e-02, eta: 1 day, 4:05:44, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8769, top5_acc: 0.9894, loss_cls: 2.6140, loss: 2.6140 +2025-05-14 08:27:08,944 - pyskl - INFO - Epoch [56][600/2506] lr: 1.753e-02, eta: 1 day, 4:04:59, time: 0.408, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9838, loss_cls: 2.6427, loss: 2.6427 +2025-05-14 08:27:49,893 - pyskl - INFO - Epoch [56][700/2506] lr: 1.752e-02, eta: 1 day, 4:04:13, time: 0.409, data_time: 0.000, memory: 10840, top1_acc: 0.9075, top5_acc: 0.9881, loss_cls: 2.4984, loss: 2.4984 +2025-05-14 08:28:31,740 - pyskl - INFO - Epoch [56][800/2506] lr: 1.751e-02, eta: 1 day, 4:03:30, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 2.6264, loss: 2.6264 +2025-05-14 08:29:13,584 - pyskl - INFO - Epoch [56][900/2506] lr: 1.750e-02, eta: 1 day, 4:02:46, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9875, loss_cls: 2.6689, loss: 2.6689 +2025-05-14 08:29:55,449 - pyskl - INFO - Epoch [56][1000/2506] lr: 1.749e-02, eta: 1 day, 4:02:02, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 2.5773, loss: 2.5773 +2025-05-14 08:30:37,177 - pyskl - INFO - Epoch [56][1100/2506] lr: 1.748e-02, eta: 1 day, 4:01:18, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9875, loss_cls: 2.6389, loss: 2.6389 +2025-05-14 08:31:18,994 - pyskl - INFO - Epoch [56][1200/2506] lr: 1.747e-02, eta: 1 day, 4:00:34, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 2.6226, loss: 2.6226 +2025-05-14 08:32:00,844 - pyskl - INFO - Epoch [56][1300/2506] lr: 1.746e-02, eta: 1 day, 3:59:50, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9831, loss_cls: 2.7511, loss: 2.7511 +2025-05-14 08:32:42,636 - pyskl - INFO - Epoch [56][1400/2506] lr: 1.745e-02, eta: 1 day, 3:59:06, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8606, top5_acc: 0.9881, loss_cls: 2.7362, loss: 2.7362 +2025-05-14 08:33:24,584 - pyskl - INFO - Epoch [56][1500/2506] lr: 1.744e-02, eta: 1 day, 3:58:23, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 2.6419, loss: 2.6419 +2025-05-14 08:34:06,420 - pyskl - INFO - Epoch [56][1600/2506] lr: 1.743e-02, eta: 1 day, 3:57:39, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9819, loss_cls: 2.7588, loss: 2.7588 +2025-05-14 08:34:48,448 - pyskl - INFO - Epoch [56][1700/2506] lr: 1.742e-02, eta: 1 day, 3:56:55, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 2.5607, loss: 2.5607 +2025-05-14 08:35:30,129 - pyskl - INFO - Epoch [56][1800/2506] lr: 1.741e-02, eta: 1 day, 3:56:11, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 2.7129, loss: 2.7129 +2025-05-14 08:36:12,229 - pyskl - INFO - Epoch [56][1900/2506] lr: 1.740e-02, eta: 1 day, 3:55:28, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 2.7687, loss: 2.7687 +2025-05-14 08:36:54,198 - pyskl - INFO - Epoch [56][2000/2506] lr: 1.739e-02, eta: 1 day, 3:54:44, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 2.5839, loss: 2.5839 +2025-05-14 08:37:34,380 - pyskl - INFO - Epoch [56][2100/2506] lr: 1.738e-02, eta: 1 day, 3:53:58, time: 0.402, data_time: 0.000, memory: 10840, top1_acc: 0.8625, top5_acc: 0.9831, loss_cls: 2.6994, loss: 2.6994 +2025-05-14 08:38:15,406 - pyskl - INFO - Epoch [56][2200/2506] lr: 1.737e-02, eta: 1 day, 3:53:13, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8719, top5_acc: 0.9825, loss_cls: 2.6788, loss: 2.6788 +2025-05-14 08:38:56,147 - pyskl - INFO - Epoch [56][2300/2506] lr: 1.736e-02, eta: 1 day, 3:52:27, time: 0.407, data_time: 0.000, memory: 10840, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 2.6971, loss: 2.6971 +2025-05-14 08:39:37,472 - pyskl - INFO - Epoch [56][2400/2506] lr: 1.735e-02, eta: 1 day, 3:51:42, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 2.5249, loss: 2.5249 +2025-05-14 08:40:19,540 - pyskl - INFO - Epoch [56][2500/2506] lr: 1.734e-02, eta: 1 day, 3:50:59, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9831, loss_cls: 2.6722, loss: 2.6722 +2025-05-14 08:40:22,769 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-05-14 08:41:34,556 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 08:41:34,651 - pyskl - INFO - +top1_acc 0.8415 +top5_acc 0.9762 +2025-05-14 08:41:34,654 - pyskl - INFO - Epoch(val) [56][1031] top1_acc: 0.8415, top5_acc: 0.9762 +2025-05-14 08:42:42,886 - pyskl - INFO - Epoch [57][100/2506] lr: 1.733e-02, eta: 1 day, 3:50:53, time: 0.682, data_time: 0.263, memory: 10840, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 2.6635, loss: 2.6635 +2025-05-14 08:43:25,040 - pyskl - INFO - Epoch [57][200/2506] lr: 1.732e-02, eta: 1 day, 3:50:09, time: 0.422, data_time: 0.000, memory: 10840, top1_acc: 0.8800, top5_acc: 0.9912, loss_cls: 2.5966, loss: 2.5966 +2025-05-14 08:44:06,911 - pyskl - INFO - Epoch [57][300/2506] lr: 1.732e-02, eta: 1 day, 3:49:26, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 2.6446, loss: 2.6446 +2025-05-14 08:44:48,640 - pyskl - INFO - Epoch [57][400/2506] lr: 1.731e-02, eta: 1 day, 3:48:42, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 2.6077, loss: 2.6077 +2025-05-14 08:45:30,525 - pyskl - INFO - Epoch [57][500/2506] lr: 1.730e-02, eta: 1 day, 3:47:58, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9800, loss_cls: 2.6426, loss: 2.6426 +2025-05-14 08:46:12,176 - pyskl - INFO - Epoch [57][600/2506] lr: 1.729e-02, eta: 1 day, 3:47:14, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8869, top5_acc: 0.9900, loss_cls: 2.5773, loss: 2.5773 +2025-05-14 08:46:53,675 - pyskl - INFO - Epoch [57][700/2506] lr: 1.728e-02, eta: 1 day, 3:46:29, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 2.6198, loss: 2.6198 +2025-05-14 08:47:34,863 - pyskl - INFO - Epoch [57][800/2506] lr: 1.727e-02, eta: 1 day, 3:45:45, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 2.6479, loss: 2.6479 +2025-05-14 08:48:15,234 - pyskl - INFO - Epoch [57][900/2506] lr: 1.726e-02, eta: 1 day, 3:44:58, time: 0.404, data_time: 0.000, memory: 10840, top1_acc: 0.8769, top5_acc: 0.9888, loss_cls: 2.6756, loss: 2.6756 +2025-05-14 08:48:56,428 - pyskl - INFO - Epoch [57][1000/2506] lr: 1.725e-02, eta: 1 day, 3:44:14, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 2.6149, loss: 2.6149 +2025-05-14 08:49:37,756 - pyskl - INFO - Epoch [57][1100/2506] lr: 1.724e-02, eta: 1 day, 3:43:29, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9825, loss_cls: 2.6717, loss: 2.6717 +2025-05-14 08:50:19,630 - pyskl - INFO - Epoch [57][1200/2506] lr: 1.723e-02, eta: 1 day, 3:42:45, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9806, loss_cls: 2.7892, loss: 2.7892 +2025-05-14 08:51:01,270 - pyskl - INFO - Epoch [57][1300/2506] lr: 1.722e-02, eta: 1 day, 3:42:01, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8675, top5_acc: 0.9850, loss_cls: 2.6780, loss: 2.6780 +2025-05-14 08:51:41,832 - pyskl - INFO - Epoch [57][1400/2506] lr: 1.721e-02, eta: 1 day, 3:41:15, time: 0.406, data_time: 0.000, memory: 10840, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 2.4960, loss: 2.4960 +2025-05-14 08:52:23,706 - pyskl - INFO - Epoch [57][1500/2506] lr: 1.720e-02, eta: 1 day, 3:40:31, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8756, top5_acc: 0.9812, loss_cls: 2.7379, loss: 2.7379 +2025-05-14 08:53:04,955 - pyskl - INFO - Epoch [57][1600/2506] lr: 1.719e-02, eta: 1 day, 3:39:47, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8669, top5_acc: 0.9862, loss_cls: 2.6281, loss: 2.6281 +2025-05-14 08:53:46,056 - pyskl - INFO - Epoch [57][1700/2506] lr: 1.718e-02, eta: 1 day, 3:39:02, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8662, top5_acc: 0.9825, loss_cls: 2.5935, loss: 2.5935 +2025-05-14 08:54:27,970 - pyskl - INFO - Epoch [57][1800/2506] lr: 1.717e-02, eta: 1 day, 3:38:18, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9894, loss_cls: 2.6244, loss: 2.6244 +2025-05-14 08:55:09,714 - pyskl - INFO - Epoch [57][1900/2506] lr: 1.716e-02, eta: 1 day, 3:37:34, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8662, top5_acc: 0.9844, loss_cls: 2.7675, loss: 2.7675 +2025-05-14 08:55:51,660 - pyskl - INFO - Epoch [57][2000/2506] lr: 1.715e-02, eta: 1 day, 3:36:51, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 2.6132, loss: 2.6132 +2025-05-14 08:56:32,896 - pyskl - INFO - Epoch [57][2100/2506] lr: 1.714e-02, eta: 1 day, 3:36:06, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 2.6408, loss: 2.6408 +2025-05-14 08:57:14,510 - pyskl - INFO - Epoch [57][2200/2506] lr: 1.713e-02, eta: 1 day, 3:35:22, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9844, loss_cls: 2.7042, loss: 2.7042 +2025-05-14 08:57:55,782 - pyskl - INFO - Epoch [57][2300/2506] lr: 1.712e-02, eta: 1 day, 3:34:37, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8625, top5_acc: 0.9812, loss_cls: 2.7265, loss: 2.7265 +2025-05-14 08:58:37,841 - pyskl - INFO - Epoch [57][2400/2506] lr: 1.711e-02, eta: 1 day, 3:33:54, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8819, top5_acc: 0.9844, loss_cls: 2.6146, loss: 2.6146 +2025-05-14 08:59:18,949 - pyskl - INFO - Epoch [57][2500/2506] lr: 1.710e-02, eta: 1 day, 3:33:09, time: 0.411, data_time: 0.000, memory: 10840, top1_acc: 0.8762, top5_acc: 0.9894, loss_cls: 2.6615, loss: 2.6615 +2025-05-14 08:59:22,073 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-05-14 09:00:33,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 09:00:33,816 - pyskl - INFO - +top1_acc 0.8382 +top5_acc 0.9753 +2025-05-14 09:00:33,819 - pyskl - INFO - Epoch(val) [57][1031] top1_acc: 0.8382, top5_acc: 0.9753 +2025-05-14 09:01:42,095 - pyskl - INFO - Epoch [58][100/2506] lr: 1.709e-02, eta: 1 day, 3:33:01, time: 0.683, data_time: 0.264, memory: 10840, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 2.5783, loss: 2.5783 +2025-05-14 09:02:23,921 - pyskl - INFO - Epoch [58][200/2506] lr: 1.708e-02, eta: 1 day, 3:32:18, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8856, top5_acc: 0.9856, loss_cls: 2.5531, loss: 2.5531 +2025-05-14 09:03:05,732 - pyskl - INFO - Epoch [58][300/2506] lr: 1.707e-02, eta: 1 day, 3:31:34, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8938, top5_acc: 0.9862, loss_cls: 2.5889, loss: 2.5889 +2025-05-14 09:03:47,367 - pyskl - INFO - Epoch [58][400/2506] lr: 1.706e-02, eta: 1 day, 3:30:50, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 2.6048, loss: 2.6048 +2025-05-14 09:04:28,597 - pyskl - INFO - Epoch [58][500/2506] lr: 1.705e-02, eta: 1 day, 3:30:05, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9869, loss_cls: 2.6089, loss: 2.6089 +2025-05-14 09:05:09,325 - pyskl - INFO - Epoch [58][600/2506] lr: 1.704e-02, eta: 1 day, 3:29:19, time: 0.407, data_time: 0.000, memory: 10840, top1_acc: 0.8750, top5_acc: 0.9900, loss_cls: 2.6354, loss: 2.6354 +2025-05-14 09:05:50,561 - pyskl - INFO - Epoch [58][700/2506] lr: 1.703e-02, eta: 1 day, 3:28:35, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9875, loss_cls: 2.7301, loss: 2.7301 +2025-05-14 09:06:32,404 - pyskl - INFO - Epoch [58][800/2506] lr: 1.702e-02, eta: 1 day, 3:27:51, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8644, top5_acc: 0.9862, loss_cls: 2.6925, loss: 2.6925 +2025-05-14 09:07:14,442 - pyskl - INFO - Epoch [58][900/2506] lr: 1.701e-02, eta: 1 day, 3:27:07, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9856, loss_cls: 2.6297, loss: 2.6297 +2025-05-14 09:07:56,301 - pyskl - INFO - Epoch [58][1000/2506] lr: 1.700e-02, eta: 1 day, 3:26:24, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 2.5910, loss: 2.5910 +2025-05-14 09:08:37,066 - pyskl - INFO - Epoch [58][1100/2506] lr: 1.699e-02, eta: 1 day, 3:25:38, time: 0.408, data_time: 0.000, memory: 10840, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 2.6158, loss: 2.6158 +2025-05-14 09:09:18,934 - pyskl - INFO - Epoch [58][1200/2506] lr: 1.698e-02, eta: 1 day, 3:24:55, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8806, top5_acc: 0.9806, loss_cls: 2.6955, loss: 2.6955 +2025-05-14 09:10:00,846 - pyskl - INFO - Epoch [58][1300/2506] lr: 1.698e-02, eta: 1 day, 3:24:11, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 2.7519, loss: 2.7519 +2025-05-14 09:10:42,692 - pyskl - INFO - Epoch [58][1400/2506] lr: 1.697e-02, eta: 1 day, 3:23:27, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8844, top5_acc: 0.9912, loss_cls: 2.6099, loss: 2.6099 +2025-05-14 09:11:24,704 - pyskl - INFO - Epoch [58][1500/2506] lr: 1.696e-02, eta: 1 day, 3:22:44, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 2.6618, loss: 2.6618 +2025-05-14 09:12:06,568 - pyskl - INFO - Epoch [58][1600/2506] lr: 1.695e-02, eta: 1 day, 3:22:00, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8912, top5_acc: 0.9931, loss_cls: 2.5876, loss: 2.5876 +2025-05-14 09:12:48,521 - pyskl - INFO - Epoch [58][1700/2506] lr: 1.694e-02, eta: 1 day, 3:21:17, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8756, top5_acc: 0.9881, loss_cls: 2.5966, loss: 2.5966 +2025-05-14 09:13:30,596 - pyskl - INFO - Epoch [58][1800/2506] lr: 1.693e-02, eta: 1 day, 3:20:33, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8825, top5_acc: 0.9838, loss_cls: 2.6145, loss: 2.6145 +2025-05-14 09:14:12,237 - pyskl - INFO - Epoch [58][1900/2506] lr: 1.692e-02, eta: 1 day, 3:19:49, time: 0.416, data_time: 0.000, memory: 10840, top1_acc: 0.8631, top5_acc: 0.9800, loss_cls: 2.6852, loss: 2.6852 +2025-05-14 09:14:54,281 - pyskl - INFO - Epoch [58][2000/2506] lr: 1.691e-02, eta: 1 day, 3:19:06, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 2.6072, loss: 2.6072 +2025-05-14 09:15:36,034 - pyskl - INFO - Epoch [58][2100/2506] lr: 1.690e-02, eta: 1 day, 3:18:22, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 2.6924, loss: 2.6924 +2025-05-14 09:16:17,309 - pyskl - INFO - Epoch [58][2200/2506] lr: 1.689e-02, eta: 1 day, 3:17:37, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8750, top5_acc: 0.9825, loss_cls: 2.6190, loss: 2.6190 +2025-05-14 09:16:59,289 - pyskl - INFO - Epoch [58][2300/2506] lr: 1.688e-02, eta: 1 day, 3:16:54, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9875, loss_cls: 2.5981, loss: 2.5981 +2025-05-14 09:17:41,301 - pyskl - INFO - Epoch [58][2400/2506] lr: 1.687e-02, eta: 1 day, 3:16:10, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 2.5729, loss: 2.5729 +2025-05-14 09:18:23,449 - pyskl - INFO - Epoch [58][2500/2506] lr: 1.686e-02, eta: 1 day, 3:15:27, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 2.6587, loss: 2.6587 +2025-05-14 09:18:26,638 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-05-14 09:19:40,085 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 09:19:40,159 - pyskl - INFO - +top1_acc 0.8402 +top5_acc 0.9783 +2025-05-14 09:19:40,162 - pyskl - INFO - Epoch(val) [58][1031] top1_acc: 0.8402, top5_acc: 0.9783 +2025-05-14 09:20:48,732 - pyskl - INFO - Epoch [59][100/2506] lr: 1.685e-02, eta: 1 day, 3:15:19, time: 0.686, data_time: 0.267, memory: 10840, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 2.4716, loss: 2.4716 +2025-05-14 09:21:30,657 - pyskl - INFO - Epoch [59][200/2506] lr: 1.684e-02, eta: 1 day, 3:14:36, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 2.5245, loss: 2.5245 +2025-05-14 09:22:12,023 - pyskl - INFO - Epoch [59][300/2506] lr: 1.683e-02, eta: 1 day, 3:13:51, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 2.6117, loss: 2.6117 +2025-05-14 09:22:53,376 - pyskl - INFO - Epoch [59][400/2506] lr: 1.682e-02, eta: 1 day, 3:13:07, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 2.4488, loss: 2.4488 +2025-05-14 09:23:35,268 - pyskl - INFO - Epoch [59][500/2506] lr: 1.681e-02, eta: 1 day, 3:12:23, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 2.6281, loss: 2.6281 +2025-05-14 09:24:17,129 - pyskl - INFO - Epoch [59][600/2506] lr: 1.680e-02, eta: 1 day, 3:11:39, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8912, top5_acc: 0.9844, loss_cls: 2.6326, loss: 2.6326 +2025-05-14 09:24:58,458 - pyskl - INFO - Epoch [59][700/2506] lr: 1.679e-02, eta: 1 day, 3:10:55, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8844, top5_acc: 0.9919, loss_cls: 2.6045, loss: 2.6045 +2025-05-14 09:25:38,984 - pyskl - INFO - Epoch [59][800/2506] lr: 1.678e-02, eta: 1 day, 3:10:09, time: 0.405, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9806, loss_cls: 2.6273, loss: 2.6273 +2025-05-14 09:26:19,682 - pyskl - INFO - Epoch [59][900/2506] lr: 1.677e-02, eta: 1 day, 3:09:23, time: 0.407, data_time: 0.000, memory: 10840, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 2.6644, loss: 2.6644 +2025-05-14 09:27:01,576 - pyskl - INFO - Epoch [59][1000/2506] lr: 1.676e-02, eta: 1 day, 3:08:40, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8925, top5_acc: 0.9825, loss_cls: 2.5713, loss: 2.5713 +2025-05-14 09:27:43,085 - pyskl - INFO - Epoch [59][1100/2506] lr: 1.675e-02, eta: 1 day, 3:07:55, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8988, top5_acc: 0.9900, loss_cls: 2.5787, loss: 2.5787 +2025-05-14 09:28:24,592 - pyskl - INFO - Epoch [59][1200/2506] lr: 1.674e-02, eta: 1 day, 3:07:11, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8656, top5_acc: 0.9881, loss_cls: 2.7083, loss: 2.7083 +2025-05-14 09:29:06,541 - pyskl - INFO - Epoch [59][1300/2506] lr: 1.673e-02, eta: 1 day, 3:06:28, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8794, top5_acc: 0.9838, loss_cls: 2.6352, loss: 2.6352 +2025-05-14 09:29:48,287 - pyskl - INFO - Epoch [59][1400/2506] lr: 1.672e-02, eta: 1 day, 3:05:44, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8669, top5_acc: 0.9831, loss_cls: 2.6938, loss: 2.6938 +2025-05-14 09:30:30,136 - pyskl - INFO - Epoch [59][1500/2506] lr: 1.671e-02, eta: 1 day, 3:05:00, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 2.6416, loss: 2.6416 +2025-05-14 09:31:12,244 - pyskl - INFO - Epoch [59][1600/2506] lr: 1.670e-02, eta: 1 day, 3:04:17, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 2.5846, loss: 2.5846 +2025-05-14 09:31:54,066 - pyskl - INFO - Epoch [59][1700/2506] lr: 1.669e-02, eta: 1 day, 3:03:33, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8781, top5_acc: 0.9812, loss_cls: 2.6360, loss: 2.6360 +2025-05-14 09:32:35,613 - pyskl - INFO - Epoch [59][1800/2506] lr: 1.668e-02, eta: 1 day, 3:02:49, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 2.5470, loss: 2.5470 +2025-05-14 09:33:16,313 - pyskl - INFO - Epoch [59][1900/2506] lr: 1.667e-02, eta: 1 day, 3:02:04, time: 0.407, data_time: 0.000, memory: 10840, top1_acc: 0.8688, top5_acc: 0.9862, loss_cls: 2.7087, loss: 2.7087 +2025-05-14 09:33:57,656 - pyskl - INFO - Epoch [59][2000/2506] lr: 1.666e-02, eta: 1 day, 3:01:19, time: 0.413, data_time: 0.000, memory: 10840, top1_acc: 0.8756, top5_acc: 0.9825, loss_cls: 2.5920, loss: 2.5920 +2025-05-14 09:34:39,337 - pyskl - INFO - Epoch [59][2100/2506] lr: 1.665e-02, eta: 1 day, 3:00:35, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9906, loss_cls: 2.6373, loss: 2.6373 +2025-05-14 09:35:21,308 - pyskl - INFO - Epoch [59][2200/2506] lr: 1.664e-02, eta: 1 day, 2:59:52, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 2.6667, loss: 2.6667 +2025-05-14 09:36:03,163 - pyskl - INFO - Epoch [59][2300/2506] lr: 1.663e-02, eta: 1 day, 2:59:08, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 2.5513, loss: 2.5513 +2025-05-14 09:36:44,982 - pyskl - INFO - Epoch [59][2400/2506] lr: 1.662e-02, eta: 1 day, 2:58:24, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 2.6841, loss: 2.6841 +2025-05-14 09:37:26,996 - pyskl - INFO - Epoch [59][2500/2506] lr: 1.661e-02, eta: 1 day, 2:57:41, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.8638, top5_acc: 0.9844, loss_cls: 2.7048, loss: 2.7048 +2025-05-14 09:37:30,515 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-05-14 09:38:43,865 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 09:38:43,945 - pyskl - INFO - +top1_acc 0.8301 +top5_acc 0.9774 +2025-05-14 09:38:43,948 - pyskl - INFO - Epoch(val) [59][1031] top1_acc: 0.8301, top5_acc: 0.9774 +2025-05-14 09:39:51,530 - pyskl - INFO - Epoch [60][100/2506] lr: 1.660e-02, eta: 1 day, 2:57:30, time: 0.676, data_time: 0.255, memory: 10840, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 2.5225, loss: 2.5225 +2025-05-14 09:40:33,433 - pyskl - INFO - Epoch [60][200/2506] lr: 1.659e-02, eta: 1 day, 2:56:47, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8850, top5_acc: 0.9838, loss_cls: 2.6224, loss: 2.6224 +2025-05-14 09:41:15,263 - pyskl - INFO - Epoch [60][300/2506] lr: 1.658e-02, eta: 1 day, 2:56:03, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8881, top5_acc: 0.9862, loss_cls: 2.5945, loss: 2.5945 +2025-05-14 09:41:57,307 - pyskl - INFO - Epoch [60][400/2506] lr: 1.657e-02, eta: 1 day, 2:55:20, time: 0.420, data_time: 0.000, memory: 10840, top1_acc: 0.9087, top5_acc: 0.9875, loss_cls: 2.4958, loss: 2.4958 +2025-05-14 09:42:39,249 - pyskl - INFO - Epoch [60][500/2506] lr: 1.656e-02, eta: 1 day, 2:54:36, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 2.4417, loss: 2.4417 +2025-05-14 09:43:20,669 - pyskl - INFO - Epoch [60][600/2506] lr: 1.655e-02, eta: 1 day, 2:53:52, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8781, top5_acc: 0.9856, loss_cls: 2.6712, loss: 2.6712 +2025-05-14 09:44:02,561 - pyskl - INFO - Epoch [60][700/2506] lr: 1.654e-02, eta: 1 day, 2:53:08, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8800, top5_acc: 0.9862, loss_cls: 2.5819, loss: 2.5819 +2025-05-14 09:44:44,498 - pyskl - INFO - Epoch [60][800/2506] lr: 1.653e-02, eta: 1 day, 2:52:25, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.6419, loss: 2.6419 +2025-05-14 09:45:26,376 - pyskl - INFO - Epoch [60][900/2506] lr: 1.652e-02, eta: 1 day, 2:51:41, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 2.5128, loss: 2.5128 +2025-05-14 09:46:08,177 - pyskl - INFO - Epoch [60][1000/2506] lr: 1.651e-02, eta: 1 day, 2:50:57, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8625, top5_acc: 0.9856, loss_cls: 2.6780, loss: 2.6780 +2025-05-14 09:46:50,048 - pyskl - INFO - Epoch [60][1100/2506] lr: 1.650e-02, eta: 1 day, 2:50:14, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 2.5029, loss: 2.5029 +2025-05-14 09:47:31,926 - pyskl - INFO - Epoch [60][1200/2506] lr: 1.649e-02, eta: 1 day, 2:49:30, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8800, top5_acc: 0.9881, loss_cls: 2.6135, loss: 2.6135 +2025-05-14 09:48:13,628 - pyskl - INFO - Epoch [60][1300/2506] lr: 1.648e-02, eta: 1 day, 2:48:46, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 2.4577, loss: 2.4577 +2025-05-14 09:48:54,518 - pyskl - INFO - Epoch [60][1400/2506] lr: 1.647e-02, eta: 1 day, 2:48:01, time: 0.409, data_time: 0.000, memory: 10840, top1_acc: 0.9019, top5_acc: 0.9875, loss_cls: 2.4914, loss: 2.4914 +2025-05-14 09:49:35,712 - pyskl - INFO - Epoch [60][1500/2506] lr: 1.646e-02, eta: 1 day, 2:47:16, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8725, top5_acc: 0.9800, loss_cls: 2.6888, loss: 2.6888 +2025-05-14 09:50:17,466 - pyskl - INFO - Epoch [60][1600/2506] lr: 1.645e-02, eta: 1 day, 2:46:32, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8925, top5_acc: 0.9931, loss_cls: 2.5678, loss: 2.5678 +2025-05-14 09:50:58,374 - pyskl - INFO - Epoch [60][1700/2506] lr: 1.644e-02, eta: 1 day, 2:45:47, time: 0.409, data_time: 0.000, memory: 10840, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 2.5566, loss: 2.5566 +2025-05-14 09:51:40,255 - pyskl - INFO - Epoch [60][1800/2506] lr: 1.643e-02, eta: 1 day, 2:45:04, time: 0.419, data_time: 0.000, memory: 10840, top1_acc: 0.8931, top5_acc: 0.9844, loss_cls: 2.4904, loss: 2.4904 +2025-05-14 09:52:21,800 - pyskl - INFO - Epoch [60][1900/2506] lr: 1.642e-02, eta: 1 day, 2:44:20, time: 0.415, data_time: 0.000, memory: 10840, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 2.6501, loss: 2.6501 +2025-05-14 09:53:03,548 - pyskl - INFO - Epoch [60][2000/2506] lr: 1.641e-02, eta: 1 day, 2:43:36, time: 0.417, data_time: 0.000, memory: 10840, top1_acc: 0.8838, top5_acc: 0.9812, loss_cls: 2.6711, loss: 2.6711 +2025-05-14 09:53:45,349 - pyskl - INFO - Epoch [60][2100/2506] lr: 1.640e-02, eta: 1 day, 2:42:52, time: 0.418, data_time: 0.000, memory: 10840, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 2.6785, loss: 2.6785 +2025-05-14 09:54:26,364 - pyskl - INFO - Epoch [60][2200/2506] lr: 1.639e-02, eta: 1 day, 2:42:07, time: 0.410, data_time: 0.000, memory: 10840, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 2.6199, loss: 2.6199 +2025-05-14 09:55:07,779 - pyskl - INFO - Epoch [60][2300/2506] lr: 1.638e-02, eta: 1 day, 2:41:23, time: 0.414, data_time: 0.000, memory: 10840, top1_acc: 0.8812, top5_acc: 0.9869, loss_cls: 2.6632, loss: 2.6632 +2025-05-14 09:55:48,974 - pyskl - INFO - Epoch [60][2400/2506] lr: 1.637e-02, eta: 1 day, 2:40:38, time: 0.412, data_time: 0.000, memory: 10840, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 2.5777, loss: 2.5777 +2025-05-14 09:56:31,052 - pyskl - INFO - Epoch [60][2500/2506] lr: 1.636e-02, eta: 1 day, 2:39:55, time: 0.421, data_time: 0.000, memory: 10840, top1_acc: 0.8819, top5_acc: 0.9888, loss_cls: 2.6151, loss: 2.6151 +2025-05-14 09:56:34,644 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-05-14 09:57:48,377 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 09:57:48,459 - pyskl - INFO - +top1_acc 0.8447 +top5_acc 0.9734 +2025-05-14 09:57:48,462 - pyskl - INFO - Epoch(val) [60][1031] top1_acc: 0.8447, top5_acc: 0.9734 +2025-05-14 09:58:56,544 - pyskl - INFO - Epoch [61][100/2506] lr: 1.635e-02, eta: 1 day, 2:39:44, time: 0.681, data_time: 0.265, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 2.5216, loss: 2.5216 +2025-05-14 09:59:38,486 - pyskl - INFO - Epoch [61][200/2506] lr: 1.634e-02, eta: 1 day, 2:39:01, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 2.5710, loss: 2.5710 +2025-05-14 10:00:20,409 - pyskl - INFO - Epoch [61][300/2506] lr: 1.633e-02, eta: 1 day, 2:38:17, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8888, top5_acc: 0.9825, loss_cls: 2.5485, loss: 2.5485 +2025-05-14 10:01:02,066 - pyskl - INFO - Epoch [61][400/2506] lr: 1.632e-02, eta: 1 day, 2:37:33, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 2.5482, loss: 2.5482 +2025-05-14 10:01:43,701 - pyskl - INFO - Epoch [61][500/2506] lr: 1.631e-02, eta: 1 day, 2:36:49, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 2.5309, loss: 2.5309 +2025-05-14 10:02:25,647 - pyskl - INFO - Epoch [61][600/2506] lr: 1.630e-02, eta: 1 day, 2:36:06, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 2.5717, loss: 2.5717 +2025-05-14 10:03:07,424 - pyskl - INFO - Epoch [61][700/2506] lr: 1.629e-02, eta: 1 day, 2:35:22, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8875, top5_acc: 0.9925, loss_cls: 2.5993, loss: 2.5993 +2025-05-14 10:03:49,192 - pyskl - INFO - Epoch [61][800/2506] lr: 1.628e-02, eta: 1 day, 2:34:38, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 2.5663, loss: 2.5663 +2025-05-14 10:04:30,789 - pyskl - INFO - Epoch [61][900/2506] lr: 1.627e-02, eta: 1 day, 2:33:54, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 2.5442, loss: 2.5442 +2025-05-14 10:05:12,520 - pyskl - INFO - Epoch [61][1000/2506] lr: 1.626e-02, eta: 1 day, 2:33:10, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8794, top5_acc: 0.9900, loss_cls: 2.5972, loss: 2.5972 +2025-05-14 10:05:54,105 - pyskl - INFO - Epoch [61][1100/2506] lr: 1.625e-02, eta: 1 day, 2:32:26, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 2.4991, loss: 2.4991 +2025-05-14 10:06:35,941 - pyskl - INFO - Epoch [61][1200/2506] lr: 1.624e-02, eta: 1 day, 2:31:43, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8762, top5_acc: 0.9831, loss_cls: 2.6803, loss: 2.6803 +2025-05-14 10:07:18,020 - pyskl - INFO - Epoch [61][1300/2506] lr: 1.623e-02, eta: 1 day, 2:30:59, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.8875, top5_acc: 0.9794, loss_cls: 2.5702, loss: 2.5702 +2025-05-14 10:08:00,444 - pyskl - INFO - Epoch [61][1400/2506] lr: 1.622e-02, eta: 1 day, 2:30:17, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 2.6585, loss: 2.6585 +2025-05-14 10:08:42,404 - pyskl - INFO - Epoch [61][1500/2506] lr: 1.621e-02, eta: 1 day, 2:29:33, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 2.5443, loss: 2.5443 +2025-05-14 10:09:24,335 - pyskl - INFO - Epoch [61][1600/2506] lr: 1.620e-02, eta: 1 day, 2:28:50, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 2.5321, loss: 2.5321 +2025-05-14 10:10:05,423 - pyskl - INFO - Epoch [61][1700/2506] lr: 1.619e-02, eta: 1 day, 2:28:05, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.8819, top5_acc: 0.9906, loss_cls: 2.6037, loss: 2.6037 +2025-05-14 10:10:46,349 - pyskl - INFO - Epoch [61][1800/2506] lr: 1.618e-02, eta: 1 day, 2:27:20, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 2.6352, loss: 2.6352 +2025-05-14 10:11:28,074 - pyskl - INFO - Epoch [61][1900/2506] lr: 1.617e-02, eta: 1 day, 2:26:36, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8731, top5_acc: 0.9906, loss_cls: 2.5938, loss: 2.5938 +2025-05-14 10:12:09,476 - pyskl - INFO - Epoch [61][2000/2506] lr: 1.616e-02, eta: 1 day, 2:25:52, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 2.5406, loss: 2.5406 +2025-05-14 10:12:50,517 - pyskl - INFO - Epoch [61][2100/2506] lr: 1.615e-02, eta: 1 day, 2:25:07, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8819, top5_acc: 0.9900, loss_cls: 2.5824, loss: 2.5824 +2025-05-14 10:13:31,964 - pyskl - INFO - Epoch [61][2200/2506] lr: 1.614e-02, eta: 1 day, 2:24:23, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 2.5504, loss: 2.5504 +2025-05-14 10:14:13,765 - pyskl - INFO - Epoch [61][2300/2506] lr: 1.613e-02, eta: 1 day, 2:23:39, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8750, top5_acc: 0.9838, loss_cls: 2.6639, loss: 2.6639 +2025-05-14 10:14:55,133 - pyskl - INFO - Epoch [61][2400/2506] lr: 1.612e-02, eta: 1 day, 2:22:55, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 2.5170, loss: 2.5170 +2025-05-14 10:15:37,078 - pyskl - INFO - Epoch [61][2500/2506] lr: 1.611e-02, eta: 1 day, 2:22:11, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8875, top5_acc: 0.9850, loss_cls: 2.5515, loss: 2.5515 +2025-05-14 10:15:40,476 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-05-14 10:16:52,436 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 10:16:52,510 - pyskl - INFO - +top1_acc 0.8553 +top5_acc 0.9791 +2025-05-14 10:16:52,566 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_55.pth was removed +2025-05-14 10:16:53,953 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_61.pth. +2025-05-14 10:16:53,954 - pyskl - INFO - Best top1_acc is 0.8553 at 61 epoch. +2025-05-14 10:16:53,957 - pyskl - INFO - Epoch(val) [61][1031] top1_acc: 0.8553, top5_acc: 0.9791 +2025-05-14 10:18:02,489 - pyskl - INFO - Epoch [62][100/2506] lr: 1.610e-02, eta: 1 day, 2:22:00, time: 0.685, data_time: 0.268, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9875, loss_cls: 2.5095, loss: 2.5095 +2025-05-14 10:18:43,868 - pyskl - INFO - Epoch [62][200/2506] lr: 1.609e-02, eta: 1 day, 2:21:16, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 2.5824, loss: 2.5824 +2025-05-14 10:19:25,299 - pyskl - INFO - Epoch [62][300/2506] lr: 1.608e-02, eta: 1 day, 2:20:32, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8988, top5_acc: 0.9862, loss_cls: 2.4250, loss: 2.4250 +2025-05-14 10:20:05,701 - pyskl - INFO - Epoch [62][400/2506] lr: 1.607e-02, eta: 1 day, 2:19:46, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 2.5004, loss: 2.5004 +2025-05-14 10:20:47,330 - pyskl - INFO - Epoch [62][500/2506] lr: 1.606e-02, eta: 1 day, 2:19:02, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 2.5217, loss: 2.5217 +2025-05-14 10:21:28,540 - pyskl - INFO - Epoch [62][600/2506] lr: 1.605e-02, eta: 1 day, 2:18:18, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 2.5816, loss: 2.5816 +2025-05-14 10:22:10,348 - pyskl - INFO - Epoch [62][700/2506] lr: 1.604e-02, eta: 1 day, 2:17:34, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 2.6021, loss: 2.6021 +2025-05-14 10:22:52,140 - pyskl - INFO - Epoch [62][800/2506] lr: 1.603e-02, eta: 1 day, 2:16:50, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8612, top5_acc: 0.9900, loss_cls: 2.6152, loss: 2.6152 +2025-05-14 10:23:33,852 - pyskl - INFO - Epoch [62][900/2506] lr: 1.602e-02, eta: 1 day, 2:16:06, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 2.6398, loss: 2.6398 +2025-05-14 10:24:14,689 - pyskl - INFO - Epoch [62][1000/2506] lr: 1.601e-02, eta: 1 day, 2:15:21, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.8825, top5_acc: 0.9881, loss_cls: 2.5152, loss: 2.5152 +2025-05-14 10:24:56,367 - pyskl - INFO - Epoch [62][1100/2506] lr: 1.600e-02, eta: 1 day, 2:14:37, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8900, top5_acc: 0.9875, loss_cls: 2.5881, loss: 2.5881 +2025-05-14 10:25:37,811 - pyskl - INFO - Epoch [62][1200/2506] lr: 1.599e-02, eta: 1 day, 2:13:53, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9875, loss_cls: 2.5287, loss: 2.5287 +2025-05-14 10:26:19,141 - pyskl - INFO - Epoch [62][1300/2506] lr: 1.598e-02, eta: 1 day, 2:13:09, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 2.4875, loss: 2.4875 +2025-05-14 10:27:00,923 - pyskl - INFO - Epoch [62][1400/2506] lr: 1.597e-02, eta: 1 day, 2:12:25, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8794, top5_acc: 0.9900, loss_cls: 2.5245, loss: 2.5245 +2025-05-14 10:27:42,850 - pyskl - INFO - Epoch [62][1500/2506] lr: 1.596e-02, eta: 1 day, 2:11:42, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 2.3620, loss: 2.3620 +2025-05-14 10:28:24,388 - pyskl - INFO - Epoch [62][1600/2506] lr: 1.595e-02, eta: 1 day, 2:10:58, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 2.5403, loss: 2.5403 +2025-05-14 10:29:06,236 - pyskl - INFO - Epoch [62][1700/2506] lr: 1.594e-02, eta: 1 day, 2:10:14, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 2.4958, loss: 2.4958 +2025-05-14 10:29:48,265 - pyskl - INFO - Epoch [62][1800/2506] lr: 1.593e-02, eta: 1 day, 2:09:31, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 2.5896, loss: 2.5896 +2025-05-14 10:30:29,348 - pyskl - INFO - Epoch [62][1900/2506] lr: 1.592e-02, eta: 1 day, 2:08:46, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.8738, top5_acc: 0.9844, loss_cls: 2.6108, loss: 2.6108 +2025-05-14 10:31:11,290 - pyskl - INFO - Epoch [62][2000/2506] lr: 1.591e-02, eta: 1 day, 2:08:03, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8844, top5_acc: 0.9806, loss_cls: 2.6340, loss: 2.6340 +2025-05-14 10:31:52,420 - pyskl - INFO - Epoch [62][2100/2506] lr: 1.590e-02, eta: 1 day, 2:07:18, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.8781, top5_acc: 0.9881, loss_cls: 2.5305, loss: 2.5305 +2025-05-14 10:32:34,148 - pyskl - INFO - Epoch [62][2200/2506] lr: 1.589e-02, eta: 1 day, 2:06:34, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 2.6614, loss: 2.6614 +2025-05-14 10:33:16,156 - pyskl - INFO - Epoch [62][2300/2506] lr: 1.588e-02, eta: 1 day, 2:05:51, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8850, top5_acc: 0.9869, loss_cls: 2.6197, loss: 2.6197 +2025-05-14 10:33:57,762 - pyskl - INFO - Epoch [62][2400/2506] lr: 1.587e-02, eta: 1 day, 2:05:07, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9862, loss_cls: 2.5777, loss: 2.5777 +2025-05-14 10:34:39,980 - pyskl - INFO - Epoch [62][2500/2506] lr: 1.586e-02, eta: 1 day, 2:04:24, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.8881, top5_acc: 0.9838, loss_cls: 2.5699, loss: 2.5699 +2025-05-14 10:34:43,363 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-05-14 10:35:56,871 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 10:35:56,945 - pyskl - INFO - +top1_acc 0.8507 +top5_acc 0.9800 +2025-05-14 10:35:56,948 - pyskl - INFO - Epoch(val) [62][1031] top1_acc: 0.8507, top5_acc: 0.9800 +2025-05-14 10:37:05,264 - pyskl - INFO - Epoch [63][100/2506] lr: 1.585e-02, eta: 1 day, 2:04:12, time: 0.683, data_time: 0.263, memory: 10841, top1_acc: 0.9100, top5_acc: 0.9894, loss_cls: 2.3996, loss: 2.3996 +2025-05-14 10:37:46,878 - pyskl - INFO - Epoch [63][200/2506] lr: 1.584e-02, eta: 1 day, 2:03:28, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9919, loss_cls: 2.5055, loss: 2.5055 +2025-05-14 10:38:28,150 - pyskl - INFO - Epoch [63][300/2506] lr: 1.583e-02, eta: 1 day, 2:02:43, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8769, top5_acc: 0.9862, loss_cls: 2.6389, loss: 2.6389 +2025-05-14 10:39:10,237 - pyskl - INFO - Epoch [63][400/2506] lr: 1.582e-02, eta: 1 day, 2:02:00, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.8938, top5_acc: 0.9844, loss_cls: 2.5186, loss: 2.5186 +2025-05-14 10:39:52,390 - pyskl - INFO - Epoch [63][500/2506] lr: 1.581e-02, eta: 1 day, 2:01:17, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 2.5269, loss: 2.5269 +2025-05-14 10:40:34,356 - pyskl - INFO - Epoch [63][600/2506] lr: 1.580e-02, eta: 1 day, 2:00:33, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8756, top5_acc: 0.9919, loss_cls: 2.5549, loss: 2.5549 +2025-05-14 10:41:15,839 - pyskl - INFO - Epoch [63][700/2506] lr: 1.579e-02, eta: 1 day, 1:59:49, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 2.4831, loss: 2.4831 +2025-05-14 10:41:56,797 - pyskl - INFO - Epoch [63][800/2506] lr: 1.578e-02, eta: 1 day, 1:59:04, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 2.5118, loss: 2.5118 +2025-05-14 10:42:38,351 - pyskl - INFO - Epoch [63][900/2506] lr: 1.577e-02, eta: 1 day, 1:58:20, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 2.5383, loss: 2.5383 +2025-05-14 10:43:20,045 - pyskl - INFO - Epoch [63][1000/2506] lr: 1.576e-02, eta: 1 day, 1:57:37, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 2.5531, loss: 2.5531 +2025-05-14 10:44:01,632 - pyskl - INFO - Epoch [63][1100/2506] lr: 1.575e-02, eta: 1 day, 1:56:53, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 2.5054, loss: 2.5054 +2025-05-14 10:44:43,391 - pyskl - INFO - Epoch [63][1200/2506] lr: 1.574e-02, eta: 1 day, 1:56:09, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 2.5861, loss: 2.5861 +2025-05-14 10:45:25,277 - pyskl - INFO - Epoch [63][1300/2506] lr: 1.573e-02, eta: 1 day, 1:55:25, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 2.5077, loss: 2.5077 +2025-05-14 10:46:07,207 - pyskl - INFO - Epoch [63][1400/2506] lr: 1.572e-02, eta: 1 day, 1:54:42, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9925, loss_cls: 2.4762, loss: 2.4762 +2025-05-14 10:46:48,868 - pyskl - INFO - Epoch [63][1500/2506] lr: 1.571e-02, eta: 1 day, 1:53:58, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 2.5655, loss: 2.5655 +2025-05-14 10:47:30,254 - pyskl - INFO - Epoch [63][1600/2506] lr: 1.570e-02, eta: 1 day, 1:53:14, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 2.6881, loss: 2.6881 +2025-05-14 10:48:11,646 - pyskl - INFO - Epoch [63][1700/2506] lr: 1.569e-02, eta: 1 day, 1:52:30, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8831, top5_acc: 0.9831, loss_cls: 2.6084, loss: 2.6084 +2025-05-14 10:48:53,044 - pyskl - INFO - Epoch [63][1800/2506] lr: 1.568e-02, eta: 1 day, 1:51:46, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8762, top5_acc: 0.9900, loss_cls: 2.6171, loss: 2.6171 +2025-05-14 10:49:34,880 - pyskl - INFO - Epoch [63][1900/2506] lr: 1.567e-02, eta: 1 day, 1:51:02, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 2.5690, loss: 2.5690 +2025-05-14 10:50:16,728 - pyskl - INFO - Epoch [63][2000/2506] lr: 1.566e-02, eta: 1 day, 1:50:18, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 2.5128, loss: 2.5128 +2025-05-14 10:50:58,545 - pyskl - INFO - Epoch [63][2100/2506] lr: 1.565e-02, eta: 1 day, 1:49:35, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8775, top5_acc: 0.9888, loss_cls: 2.5756, loss: 2.5756 +2025-05-14 10:51:40,361 - pyskl - INFO - Epoch [63][2200/2506] lr: 1.564e-02, eta: 1 day, 1:48:51, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8731, top5_acc: 0.9875, loss_cls: 2.6175, loss: 2.6175 +2025-05-14 10:52:22,241 - pyskl - INFO - Epoch [63][2300/2506] lr: 1.563e-02, eta: 1 day, 1:48:08, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8706, top5_acc: 0.9844, loss_cls: 2.6450, loss: 2.6450 +2025-05-14 10:53:04,177 - pyskl - INFO - Epoch [63][2400/2506] lr: 1.562e-02, eta: 1 day, 1:47:24, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 2.6003, loss: 2.6003 +2025-05-14 10:53:45,976 - pyskl - INFO - Epoch [63][2500/2506] lr: 1.561e-02, eta: 1 day, 1:46:41, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 2.6761, loss: 2.6761 +2025-05-14 10:53:49,108 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-05-14 10:55:01,502 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 10:55:01,597 - pyskl - INFO - +top1_acc 0.8453 +top5_acc 0.9782 +2025-05-14 10:55:01,600 - pyskl - INFO - Epoch(val) [63][1031] top1_acc: 0.8453, top5_acc: 0.9782 +2025-05-14 10:56:12,773 - pyskl - INFO - Epoch [64][100/2506] lr: 1.560e-02, eta: 1 day, 1:46:31, time: 0.712, data_time: 0.285, memory: 10841, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 2.4079, loss: 2.4079 +2025-05-14 10:56:54,406 - pyskl - INFO - Epoch [64][200/2506] lr: 1.559e-02, eta: 1 day, 1:45:48, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 2.5315, loss: 2.5315 +2025-05-14 10:57:35,985 - pyskl - INFO - Epoch [64][300/2506] lr: 1.558e-02, eta: 1 day, 1:45:04, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8844, top5_acc: 0.9900, loss_cls: 2.5116, loss: 2.5116 +2025-05-14 10:58:17,969 - pyskl - INFO - Epoch [64][400/2506] lr: 1.557e-02, eta: 1 day, 1:44:20, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8781, top5_acc: 0.9838, loss_cls: 2.6233, loss: 2.6233 +2025-05-14 10:58:59,732 - pyskl - INFO - Epoch [64][500/2506] lr: 1.556e-02, eta: 1 day, 1:43:36, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 2.4911, loss: 2.4911 +2025-05-14 10:59:40,239 - pyskl - INFO - Epoch [64][600/2506] lr: 1.555e-02, eta: 1 day, 1:42:51, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.8975, top5_acc: 0.9862, loss_cls: 2.5536, loss: 2.5536 +2025-05-14 11:00:21,225 - pyskl - INFO - Epoch [64][700/2506] lr: 1.554e-02, eta: 1 day, 1:42:06, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 2.5446, loss: 2.5446 +2025-05-14 11:01:02,717 - pyskl - INFO - Epoch [64][800/2506] lr: 1.553e-02, eta: 1 day, 1:41:22, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8844, top5_acc: 0.9844, loss_cls: 2.6237, loss: 2.6237 +2025-05-14 11:01:44,244 - pyskl - INFO - Epoch [64][900/2506] lr: 1.552e-02, eta: 1 day, 1:40:38, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 2.5602, loss: 2.5602 +2025-05-14 11:02:25,612 - pyskl - INFO - Epoch [64][1000/2506] lr: 1.551e-02, eta: 1 day, 1:39:54, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8856, top5_acc: 0.9856, loss_cls: 2.5499, loss: 2.5499 +2025-05-14 11:03:06,690 - pyskl - INFO - Epoch [64][1100/2506] lr: 1.550e-02, eta: 1 day, 1:39:09, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.8750, top5_acc: 0.9881, loss_cls: 2.5511, loss: 2.5511 +2025-05-14 11:03:48,790 - pyskl - INFO - Epoch [64][1200/2506] lr: 1.549e-02, eta: 1 day, 1:38:26, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 2.5024, loss: 2.5024 +2025-05-14 11:04:30,283 - pyskl - INFO - Epoch [64][1300/2506] lr: 1.548e-02, eta: 1 day, 1:37:42, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 2.6231, loss: 2.6231 +2025-05-14 11:05:11,949 - pyskl - INFO - Epoch [64][1400/2506] lr: 1.547e-02, eta: 1 day, 1:36:58, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8875, top5_acc: 0.9906, loss_cls: 2.5271, loss: 2.5271 +2025-05-14 11:05:52,856 - pyskl - INFO - Epoch [64][1500/2506] lr: 1.546e-02, eta: 1 day, 1:36:13, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 2.5033, loss: 2.5033 +2025-05-14 11:06:34,793 - pyskl - INFO - Epoch [64][1600/2506] lr: 1.545e-02, eta: 1 day, 1:35:30, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 2.3591, loss: 2.3591 +2025-05-14 11:07:16,436 - pyskl - INFO - Epoch [64][1700/2506] lr: 1.544e-02, eta: 1 day, 1:34:46, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 2.5908, loss: 2.5908 +2025-05-14 11:07:57,205 - pyskl - INFO - Epoch [64][1800/2506] lr: 1.543e-02, eta: 1 day, 1:34:01, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.8819, top5_acc: 0.9838, loss_cls: 2.6099, loss: 2.6099 +2025-05-14 11:08:38,862 - pyskl - INFO - Epoch [64][1900/2506] lr: 1.542e-02, eta: 1 day, 1:33:17, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 2.6297, loss: 2.6297 +2025-05-14 11:09:21,017 - pyskl - INFO - Epoch [64][2000/2506] lr: 1.541e-02, eta: 1 day, 1:32:34, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.8831, top5_acc: 0.9888, loss_cls: 2.5430, loss: 2.5430 +2025-05-14 11:10:02,936 - pyskl - INFO - Epoch [64][2100/2506] lr: 1.540e-02, eta: 1 day, 1:31:51, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 2.4925, loss: 2.4925 +2025-05-14 11:10:44,868 - pyskl - INFO - Epoch [64][2200/2506] lr: 1.539e-02, eta: 1 day, 1:31:07, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8925, top5_acc: 0.9844, loss_cls: 2.5239, loss: 2.5239 +2025-05-14 11:11:26,880 - pyskl - INFO - Epoch [64][2300/2506] lr: 1.538e-02, eta: 1 day, 1:30:24, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 2.5379, loss: 2.5379 +2025-05-14 11:12:08,672 - pyskl - INFO - Epoch [64][2400/2506] lr: 1.537e-02, eta: 1 day, 1:29:40, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 2.4807, loss: 2.4807 +2025-05-14 11:12:50,593 - pyskl - INFO - Epoch [64][2500/2506] lr: 1.536e-02, eta: 1 day, 1:28:57, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9006, top5_acc: 0.9875, loss_cls: 2.4723, loss: 2.4723 +2025-05-14 11:12:54,022 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-05-14 11:14:06,505 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 11:14:06,602 - pyskl - INFO - +top1_acc 0.8529 +top5_acc 0.9800 +2025-05-14 11:14:06,607 - pyskl - INFO - Epoch(val) [64][1031] top1_acc: 0.8529, top5_acc: 0.9800 +2025-05-14 11:15:16,706 - pyskl - INFO - Epoch [65][100/2506] lr: 1.534e-02, eta: 1 day, 1:28:45, time: 0.701, data_time: 0.286, memory: 10841, top1_acc: 0.9038, top5_acc: 0.9931, loss_cls: 2.4529, loss: 2.4529 +2025-05-14 11:15:58,873 - pyskl - INFO - Epoch [65][200/2506] lr: 1.533e-02, eta: 1 day, 1:28:02, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 2.4414, loss: 2.4414 +2025-05-14 11:16:40,689 - pyskl - INFO - Epoch [65][300/2506] lr: 1.532e-02, eta: 1 day, 1:27:19, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8881, top5_acc: 0.9844, loss_cls: 2.5177, loss: 2.5177 +2025-05-14 11:17:22,861 - pyskl - INFO - Epoch [65][400/2506] lr: 1.531e-02, eta: 1 day, 1:26:36, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 2.5382, loss: 2.5382 +2025-05-14 11:18:04,783 - pyskl - INFO - Epoch [65][500/2506] lr: 1.530e-02, eta: 1 day, 1:25:52, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 2.4817, loss: 2.4817 +2025-05-14 11:18:46,180 - pyskl - INFO - Epoch [65][600/2506] lr: 1.529e-02, eta: 1 day, 1:25:08, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 2.4995, loss: 2.4995 +2025-05-14 11:19:27,427 - pyskl - INFO - Epoch [65][700/2506] lr: 1.528e-02, eta: 1 day, 1:24:24, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 2.4964, loss: 2.4964 +2025-05-14 11:20:09,238 - pyskl - INFO - Epoch [65][800/2506] lr: 1.527e-02, eta: 1 day, 1:23:40, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 2.4274, loss: 2.4274 +2025-05-14 11:20:51,027 - pyskl - INFO - Epoch [65][900/2506] lr: 1.526e-02, eta: 1 day, 1:22:56, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 2.4640, loss: 2.4640 +2025-05-14 11:21:32,712 - pyskl - INFO - Epoch [65][1000/2506] lr: 1.525e-02, eta: 1 day, 1:22:13, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 2.5535, loss: 2.5535 +2025-05-14 11:22:14,524 - pyskl - INFO - Epoch [65][1100/2506] lr: 1.524e-02, eta: 1 day, 1:21:29, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9850, loss_cls: 2.5075, loss: 2.5075 +2025-05-14 11:22:56,141 - pyskl - INFO - Epoch [65][1200/2506] lr: 1.523e-02, eta: 1 day, 1:20:45, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9875, loss_cls: 2.4173, loss: 2.4173 +2025-05-14 11:23:38,370 - pyskl - INFO - Epoch [65][1300/2506] lr: 1.522e-02, eta: 1 day, 1:20:02, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.8769, top5_acc: 0.9888, loss_cls: 2.6032, loss: 2.6032 +2025-05-14 11:24:20,135 - pyskl - INFO - Epoch [65][1400/2506] lr: 1.521e-02, eta: 1 day, 1:19:19, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8800, top5_acc: 0.9881, loss_cls: 2.5452, loss: 2.5452 +2025-05-14 11:25:01,516 - pyskl - INFO - Epoch [65][1500/2506] lr: 1.520e-02, eta: 1 day, 1:18:34, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 2.5467, loss: 2.5467 +2025-05-14 11:25:43,390 - pyskl - INFO - Epoch [65][1600/2506] lr: 1.519e-02, eta: 1 day, 1:17:51, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 2.4688, loss: 2.4688 +2025-05-14 11:26:23,941 - pyskl - INFO - Epoch [65][1700/2506] lr: 1.518e-02, eta: 1 day, 1:17:06, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 2.5034, loss: 2.5034 +2025-05-14 11:27:04,609 - pyskl - INFO - Epoch [65][1800/2506] lr: 1.517e-02, eta: 1 day, 1:16:21, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.8788, top5_acc: 0.9875, loss_cls: 2.5310, loss: 2.5310 +2025-05-14 11:27:46,291 - pyskl - INFO - Epoch [65][1900/2506] lr: 1.516e-02, eta: 1 day, 1:15:37, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 2.4905, loss: 2.4905 +2025-05-14 11:28:27,784 - pyskl - INFO - Epoch [65][2000/2506] lr: 1.515e-02, eta: 1 day, 1:14:53, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8831, top5_acc: 0.9844, loss_cls: 2.5690, loss: 2.5690 +2025-05-14 11:29:08,329 - pyskl - INFO - Epoch [65][2100/2506] lr: 1.514e-02, eta: 1 day, 1:14:08, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 2.4835, loss: 2.4835 +2025-05-14 11:29:48,865 - pyskl - INFO - Epoch [65][2200/2506] lr: 1.513e-02, eta: 1 day, 1:13:22, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.8712, top5_acc: 0.9794, loss_cls: 2.6346, loss: 2.6346 +2025-05-14 11:30:29,923 - pyskl - INFO - Epoch [65][2300/2506] lr: 1.512e-02, eta: 1 day, 1:12:38, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 2.5955, loss: 2.5955 +2025-05-14 11:31:11,582 - pyskl - INFO - Epoch [65][2400/2506] lr: 1.511e-02, eta: 1 day, 1:11:54, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 2.4996, loss: 2.4996 +2025-05-14 11:31:52,202 - pyskl - INFO - Epoch [65][2500/2506] lr: 1.510e-02, eta: 1 day, 1:11:09, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.8825, top5_acc: 0.9875, loss_cls: 2.5411, loss: 2.5411 +2025-05-14 11:31:55,354 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-05-14 11:33:07,510 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 11:33:07,606 - pyskl - INFO - +top1_acc 0.8436 +top5_acc 0.9780 +2025-05-14 11:33:07,609 - pyskl - INFO - Epoch(val) [65][1031] top1_acc: 0.8436, top5_acc: 0.9780 +2025-05-14 11:34:16,844 - pyskl - INFO - Epoch [66][100/2506] lr: 1.509e-02, eta: 1 day, 1:10:55, time: 0.692, data_time: 0.274, memory: 10841, top1_acc: 0.8962, top5_acc: 0.9925, loss_cls: 2.4144, loss: 2.4144 +2025-05-14 11:34:58,853 - pyskl - INFO - Epoch [66][200/2506] lr: 1.508e-02, eta: 1 day, 1:10:12, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 2.4412, loss: 2.4412 +2025-05-14 11:35:40,801 - pyskl - INFO - Epoch [66][300/2506] lr: 1.507e-02, eta: 1 day, 1:09:29, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 2.4830, loss: 2.4830 +2025-05-14 11:36:21,129 - pyskl - INFO - Epoch [66][400/2506] lr: 1.506e-02, eta: 1 day, 1:08:43, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 2.4284, loss: 2.4284 +2025-05-14 11:37:02,869 - pyskl - INFO - Epoch [66][500/2506] lr: 1.505e-02, eta: 1 day, 1:07:59, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 2.4596, loss: 2.4596 +2025-05-14 11:37:44,673 - pyskl - INFO - Epoch [66][600/2506] lr: 1.504e-02, eta: 1 day, 1:07:16, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 2.4719, loss: 2.4719 +2025-05-14 11:38:26,225 - pyskl - INFO - Epoch [66][700/2506] lr: 1.503e-02, eta: 1 day, 1:06:32, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 2.3918, loss: 2.3918 +2025-05-14 11:39:07,058 - pyskl - INFO - Epoch [66][800/2506] lr: 1.502e-02, eta: 1 day, 1:05:47, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.8825, top5_acc: 0.9888, loss_cls: 2.5245, loss: 2.5245 +2025-05-14 11:39:48,467 - pyskl - INFO - Epoch [66][900/2506] lr: 1.501e-02, eta: 1 day, 1:05:03, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9844, loss_cls: 2.4360, loss: 2.4360 +2025-05-14 11:40:29,909 - pyskl - INFO - Epoch [66][1000/2506] lr: 1.500e-02, eta: 1 day, 1:04:19, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 2.4589, loss: 2.4589 +2025-05-14 11:41:10,690 - pyskl - INFO - Epoch [66][1100/2506] lr: 1.499e-02, eta: 1 day, 1:03:34, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 2.4156, loss: 2.4156 +2025-05-14 11:41:51,203 - pyskl - INFO - Epoch [66][1200/2506] lr: 1.498e-02, eta: 1 day, 1:02:49, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.8750, top5_acc: 0.9875, loss_cls: 2.5648, loss: 2.5648 +2025-05-14 11:42:32,709 - pyskl - INFO - Epoch [66][1300/2506] lr: 1.497e-02, eta: 1 day, 1:02:05, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 2.5116, loss: 2.5116 +2025-05-14 11:43:13,432 - pyskl - INFO - Epoch [66][1400/2506] lr: 1.496e-02, eta: 1 day, 1:01:20, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.8731, top5_acc: 0.9862, loss_cls: 2.5714, loss: 2.5714 +2025-05-14 11:43:55,301 - pyskl - INFO - Epoch [66][1500/2506] lr: 1.495e-02, eta: 1 day, 1:00:36, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 2.5426, loss: 2.5426 +2025-05-14 11:44:37,165 - pyskl - INFO - Epoch [66][1600/2506] lr: 1.494e-02, eta: 1 day, 0:59:53, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8931, top5_acc: 0.9831, loss_cls: 2.5706, loss: 2.5706 +2025-05-14 11:45:18,483 - pyskl - INFO - Epoch [66][1700/2506] lr: 1.493e-02, eta: 1 day, 0:59:09, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 2.6240, loss: 2.6240 +2025-05-14 11:45:59,565 - pyskl - INFO - Epoch [66][1800/2506] lr: 1.491e-02, eta: 1 day, 0:58:24, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.8775, top5_acc: 0.9888, loss_cls: 2.6087, loss: 2.6087 +2025-05-14 11:46:41,761 - pyskl - INFO - Epoch [66][1900/2506] lr: 1.490e-02, eta: 1 day, 0:57:41, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 2.5101, loss: 2.5101 +2025-05-14 11:47:23,071 - pyskl - INFO - Epoch [66][2000/2506] lr: 1.489e-02, eta: 1 day, 0:56:57, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 2.6258, loss: 2.6258 +2025-05-14 11:48:04,503 - pyskl - INFO - Epoch [66][2100/2506] lr: 1.488e-02, eta: 1 day, 0:56:13, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8888, top5_acc: 0.9838, loss_cls: 2.6225, loss: 2.6225 +2025-05-14 11:48:46,430 - pyskl - INFO - Epoch [66][2200/2506] lr: 1.487e-02, eta: 1 day, 0:55:30, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9806, loss_cls: 2.5426, loss: 2.5426 +2025-05-14 11:49:28,336 - pyskl - INFO - Epoch [66][2300/2506] lr: 1.486e-02, eta: 1 day, 0:54:46, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8856, top5_acc: 0.9869, loss_cls: 2.4720, loss: 2.4720 +2025-05-14 11:50:09,519 - pyskl - INFO - Epoch [66][2400/2506] lr: 1.485e-02, eta: 1 day, 0:54:02, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.8750, top5_acc: 0.9869, loss_cls: 2.6090, loss: 2.6090 +2025-05-14 11:50:51,377 - pyskl - INFO - Epoch [66][2500/2506] lr: 1.484e-02, eta: 1 day, 0:53:19, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8844, top5_acc: 0.9862, loss_cls: 2.5170, loss: 2.5170 +2025-05-14 11:50:54,750 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-05-14 11:52:07,800 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 11:52:07,903 - pyskl - INFO - +top1_acc 0.8462 +top5_acc 0.9723 +2025-05-14 11:52:07,909 - pyskl - INFO - Epoch(val) [66][1031] top1_acc: 0.8462, top5_acc: 0.9723 +2025-05-14 11:53:14,625 - pyskl - INFO - Epoch [67][100/2506] lr: 1.483e-02, eta: 1 day, 0:53:01, time: 0.667, data_time: 0.256, memory: 10841, top1_acc: 0.8944, top5_acc: 0.9888, loss_cls: 2.4513, loss: 2.4513 +2025-05-14 11:53:55,551 - pyskl - INFO - Epoch [67][200/2506] lr: 1.482e-02, eta: 1 day, 0:52:16, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 2.4307, loss: 2.4307 +2025-05-14 11:54:36,561 - pyskl - INFO - Epoch [67][300/2506] lr: 1.481e-02, eta: 1 day, 0:51:32, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9869, loss_cls: 2.3489, loss: 2.3489 +2025-05-14 11:55:18,193 - pyskl - INFO - Epoch [67][400/2506] lr: 1.480e-02, eta: 1 day, 0:50:48, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9938, loss_cls: 2.4325, loss: 2.4325 +2025-05-14 11:55:59,985 - pyskl - INFO - Epoch [67][500/2506] lr: 1.479e-02, eta: 1 day, 0:50:04, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 2.5561, loss: 2.5561 +2025-05-14 11:56:40,520 - pyskl - INFO - Epoch [67][600/2506] lr: 1.478e-02, eta: 1 day, 0:49:19, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9044, top5_acc: 0.9869, loss_cls: 2.4566, loss: 2.4566 +2025-05-14 11:57:22,323 - pyskl - INFO - Epoch [67][700/2506] lr: 1.477e-02, eta: 1 day, 0:48:36, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 2.4671, loss: 2.4671 +2025-05-14 11:58:04,180 - pyskl - INFO - Epoch [67][800/2506] lr: 1.476e-02, eta: 1 day, 0:47:52, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 2.4072, loss: 2.4072 +2025-05-14 11:58:44,729 - pyskl - INFO - Epoch [67][900/2506] lr: 1.475e-02, eta: 1 day, 0:47:07, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 2.3957, loss: 2.3957 +2025-05-14 11:59:26,649 - pyskl - INFO - Epoch [67][1000/2506] lr: 1.474e-02, eta: 1 day, 0:46:24, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 2.4905, loss: 2.4905 +2025-05-14 12:00:08,497 - pyskl - INFO - Epoch [67][1100/2506] lr: 1.473e-02, eta: 1 day, 0:45:40, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 2.4720, loss: 2.4720 +2025-05-14 12:00:50,635 - pyskl - INFO - Epoch [67][1200/2506] lr: 1.472e-02, eta: 1 day, 0:44:57, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.8775, top5_acc: 0.9888, loss_cls: 2.5047, loss: 2.5047 +2025-05-14 12:01:32,296 - pyskl - INFO - Epoch [67][1300/2506] lr: 1.471e-02, eta: 1 day, 0:44:13, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8844, top5_acc: 0.9938, loss_cls: 2.5371, loss: 2.5371 +2025-05-14 12:02:13,294 - pyskl - INFO - Epoch [67][1400/2506] lr: 1.470e-02, eta: 1 day, 0:43:29, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8781, top5_acc: 0.9838, loss_cls: 2.5827, loss: 2.5827 +2025-05-14 12:02:53,494 - pyskl - INFO - Epoch [67][1500/2506] lr: 1.469e-02, eta: 1 day, 0:42:43, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 2.4620, loss: 2.4620 +2025-05-14 12:03:34,009 - pyskl - INFO - Epoch [67][1600/2506] lr: 1.468e-02, eta: 1 day, 0:41:58, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 2.5105, loss: 2.5105 +2025-05-14 12:04:15,614 - pyskl - INFO - Epoch [67][1700/2506] lr: 1.467e-02, eta: 1 day, 0:41:14, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8781, top5_acc: 0.9869, loss_cls: 2.5349, loss: 2.5349 +2025-05-14 12:04:57,651 - pyskl - INFO - Epoch [67][1800/2506] lr: 1.466e-02, eta: 1 day, 0:40:31, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 2.6092, loss: 2.6092 +2025-05-14 12:05:39,680 - pyskl - INFO - Epoch [67][1900/2506] lr: 1.465e-02, eta: 1 day, 0:39:48, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8781, top5_acc: 0.9856, loss_cls: 2.5947, loss: 2.5947 +2025-05-14 12:06:20,933 - pyskl - INFO - Epoch [67][2000/2506] lr: 1.464e-02, eta: 1 day, 0:39:04, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8850, top5_acc: 0.9844, loss_cls: 2.5384, loss: 2.5384 +2025-05-14 12:07:03,000 - pyskl - INFO - Epoch [67][2100/2506] lr: 1.463e-02, eta: 1 day, 0:38:21, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 2.4867, loss: 2.4867 +2025-05-14 12:07:43,569 - pyskl - INFO - Epoch [67][2200/2506] lr: 1.462e-02, eta: 1 day, 0:37:35, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 2.5444, loss: 2.5444 +2025-05-14 12:08:25,054 - pyskl - INFO - Epoch [67][2300/2506] lr: 1.461e-02, eta: 1 day, 0:36:52, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 2.5328, loss: 2.5328 +2025-05-14 12:09:06,961 - pyskl - INFO - Epoch [67][2400/2506] lr: 1.460e-02, eta: 1 day, 0:36:08, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9938, loss_cls: 2.4596, loss: 2.4596 +2025-05-14 12:09:48,828 - pyskl - INFO - Epoch [67][2500/2506] lr: 1.459e-02, eta: 1 day, 0:35:25, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8681, top5_acc: 0.9844, loss_cls: 2.6081, loss: 2.6081 +2025-05-14 12:09:51,949 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-05-14 12:11:04,339 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 12:11:04,434 - pyskl - INFO - +top1_acc 0.8475 +top5_acc 0.9773 +2025-05-14 12:11:04,437 - pyskl - INFO - Epoch(val) [67][1031] top1_acc: 0.8475, top5_acc: 0.9773 +2025-05-14 12:12:11,485 - pyskl - INFO - Epoch [68][100/2506] lr: 1.457e-02, eta: 1 day, 0:35:07, time: 0.670, data_time: 0.252, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 2.4320, loss: 2.4320 +2025-05-14 12:12:52,622 - pyskl - INFO - Epoch [68][200/2506] lr: 1.456e-02, eta: 1 day, 0:34:22, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 2.4010, loss: 2.4010 +2025-05-14 12:13:34,324 - pyskl - INFO - Epoch [68][300/2506] lr: 1.455e-02, eta: 1 day, 0:33:39, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 2.3764, loss: 2.3764 +2025-05-14 12:14:14,873 - pyskl - INFO - Epoch [68][400/2506] lr: 1.454e-02, eta: 1 day, 0:32:54, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 2.4567, loss: 2.4567 +2025-05-14 12:14:56,039 - pyskl - INFO - Epoch [68][500/2506] lr: 1.453e-02, eta: 1 day, 0:32:09, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 2.3448, loss: 2.3448 +2025-05-14 12:15:36,605 - pyskl - INFO - Epoch [68][600/2506] lr: 1.452e-02, eta: 1 day, 0:31:24, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 2.5411, loss: 2.5411 +2025-05-14 12:16:17,832 - pyskl - INFO - Epoch [68][700/2506] lr: 1.451e-02, eta: 1 day, 0:30:40, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 2.5038, loss: 2.5038 +2025-05-14 12:16:58,780 - pyskl - INFO - Epoch [68][800/2506] lr: 1.450e-02, eta: 1 day, 0:29:56, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.8881, top5_acc: 0.9925, loss_cls: 2.4278, loss: 2.4278 +2025-05-14 12:17:39,862 - pyskl - INFO - Epoch [68][900/2506] lr: 1.449e-02, eta: 1 day, 0:29:11, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 2.5092, loss: 2.5092 +2025-05-14 12:18:21,070 - pyskl - INFO - Epoch [68][1000/2506] lr: 1.448e-02, eta: 1 day, 0:28:27, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 2.4471, loss: 2.4471 +2025-05-14 12:19:01,840 - pyskl - INFO - Epoch [68][1100/2506] lr: 1.447e-02, eta: 1 day, 0:27:42, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 2.5036, loss: 2.5036 +2025-05-14 12:19:43,345 - pyskl - INFO - Epoch [68][1200/2506] lr: 1.446e-02, eta: 1 day, 0:26:58, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8869, top5_acc: 0.9831, loss_cls: 2.4371, loss: 2.4371 +2025-05-14 12:20:25,228 - pyskl - INFO - Epoch [68][1300/2506] lr: 1.445e-02, eta: 1 day, 0:26:15, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 2.4692, loss: 2.4692 +2025-05-14 12:21:06,636 - pyskl - INFO - Epoch [68][1400/2506] lr: 1.444e-02, eta: 1 day, 0:25:31, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 2.5272, loss: 2.5272 +2025-05-14 12:21:47,571 - pyskl - INFO - Epoch [68][1500/2506] lr: 1.443e-02, eta: 1 day, 0:24:46, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.8962, top5_acc: 0.9819, loss_cls: 2.4550, loss: 2.4550 +2025-05-14 12:22:27,335 - pyskl - INFO - Epoch [68][1600/2506] lr: 1.442e-02, eta: 1 day, 0:24:01, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 2.5563, loss: 2.5563 +2025-05-14 12:23:09,070 - pyskl - INFO - Epoch [68][1700/2506] lr: 1.441e-02, eta: 1 day, 0:23:17, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8700, top5_acc: 0.9831, loss_cls: 2.6370, loss: 2.6370 +2025-05-14 12:23:50,028 - pyskl - INFO - Epoch [68][1800/2506] lr: 1.440e-02, eta: 1 day, 0:22:32, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8856, top5_acc: 0.9925, loss_cls: 2.5309, loss: 2.5309 +2025-05-14 12:24:31,041 - pyskl - INFO - Epoch [68][1900/2506] lr: 1.439e-02, eta: 1 day, 0:21:48, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 2.4455, loss: 2.4455 +2025-05-14 12:25:12,731 - pyskl - INFO - Epoch [68][2000/2506] lr: 1.438e-02, eta: 1 day, 0:21:04, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 2.4403, loss: 2.4403 +2025-05-14 12:25:54,523 - pyskl - INFO - Epoch [68][2100/2506] lr: 1.437e-02, eta: 1 day, 0:20:21, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9850, loss_cls: 2.4932, loss: 2.4932 +2025-05-14 12:26:36,188 - pyskl - INFO - Epoch [68][2200/2506] lr: 1.436e-02, eta: 1 day, 0:19:37, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 2.5242, loss: 2.5242 +2025-05-14 12:27:17,669 - pyskl - INFO - Epoch [68][2300/2506] lr: 1.435e-02, eta: 1 day, 0:18:53, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 2.4999, loss: 2.4999 +2025-05-14 12:27:59,601 - pyskl - INFO - Epoch [68][2400/2506] lr: 1.434e-02, eta: 1 day, 0:18:10, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8794, top5_acc: 0.9831, loss_cls: 2.5454, loss: 2.5454 +2025-05-14 12:28:40,568 - pyskl - INFO - Epoch [68][2500/2506] lr: 1.433e-02, eta: 1 day, 0:17:26, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8850, top5_acc: 0.9844, loss_cls: 2.4719, loss: 2.4719 +2025-05-14 12:28:43,627 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-05-14 12:29:55,493 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 12:29:55,588 - pyskl - INFO - +top1_acc 0.8690 +top5_acc 0.9805 +2025-05-14 12:29:55,681 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_61.pth was removed +2025-05-14 12:29:57,417 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_68.pth. +2025-05-14 12:29:57,417 - pyskl - INFO - Best top1_acc is 0.8690 at 68 epoch. +2025-05-14 12:29:57,421 - pyskl - INFO - Epoch(val) [68][1031] top1_acc: 0.8690, top5_acc: 0.9805 +2025-05-14 12:31:06,545 - pyskl - INFO - Epoch [69][100/2506] lr: 1.432e-02, eta: 1 day, 0:17:09, time: 0.691, data_time: 0.279, memory: 10841, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 2.3119, loss: 2.3119 +2025-05-14 12:31:48,782 - pyskl - INFO - Epoch [69][200/2506] lr: 1.431e-02, eta: 1 day, 0:16:27, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9925, loss_cls: 2.3435, loss: 2.3435 +2025-05-14 12:32:30,801 - pyskl - INFO - Epoch [69][300/2506] lr: 1.430e-02, eta: 1 day, 0:15:43, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8875, top5_acc: 0.9900, loss_cls: 2.5011, loss: 2.5011 +2025-05-14 12:33:12,245 - pyskl - INFO - Epoch [69][400/2506] lr: 1.428e-02, eta: 1 day, 0:14:59, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 2.5113, loss: 2.5113 +2025-05-14 12:33:53,022 - pyskl - INFO - Epoch [69][500/2506] lr: 1.427e-02, eta: 1 day, 0:14:15, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9919, loss_cls: 2.5745, loss: 2.5745 +2025-05-14 12:34:34,456 - pyskl - INFO - Epoch [69][600/2506] lr: 1.426e-02, eta: 1 day, 0:13:31, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 2.4389, loss: 2.4389 +2025-05-14 12:35:15,182 - pyskl - INFO - Epoch [69][700/2506] lr: 1.425e-02, eta: 1 day, 0:12:46, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 2.4632, loss: 2.4632 +2025-05-14 12:35:56,203 - pyskl - INFO - Epoch [69][800/2506] lr: 1.424e-02, eta: 1 day, 0:12:02, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8888, top5_acc: 0.9869, loss_cls: 2.4585, loss: 2.4585 +2025-05-14 12:36:37,451 - pyskl - INFO - Epoch [69][900/2506] lr: 1.423e-02, eta: 1 day, 0:11:17, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 2.3727, loss: 2.3727 +2025-05-14 12:37:19,341 - pyskl - INFO - Epoch [69][1000/2506] lr: 1.422e-02, eta: 1 day, 0:10:34, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 2.5567, loss: 2.5567 +2025-05-14 12:38:01,513 - pyskl - INFO - Epoch [69][1100/2506] lr: 1.421e-02, eta: 1 day, 0:09:51, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 2.4434, loss: 2.4434 +2025-05-14 12:38:43,381 - pyskl - INFO - Epoch [69][1200/2506] lr: 1.420e-02, eta: 1 day, 0:09:08, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 2.4273, loss: 2.4273 +2025-05-14 12:39:24,884 - pyskl - INFO - Epoch [69][1300/2506] lr: 1.419e-02, eta: 1 day, 0:08:24, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 2.5740, loss: 2.5740 +2025-05-14 12:40:06,045 - pyskl - INFO - Epoch [69][1400/2506] lr: 1.418e-02, eta: 1 day, 0:07:40, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.8906, top5_acc: 0.9856, loss_cls: 2.4687, loss: 2.4687 +2025-05-14 12:40:47,115 - pyskl - INFO - Epoch [69][1500/2506] lr: 1.417e-02, eta: 1 day, 0:06:55, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9825, loss_cls: 2.4755, loss: 2.4755 +2025-05-14 12:41:28,477 - pyskl - INFO - Epoch [69][1600/2506] lr: 1.416e-02, eta: 1 day, 0:06:11, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9031, top5_acc: 0.9831, loss_cls: 2.3994, loss: 2.3994 +2025-05-14 12:42:08,365 - pyskl - INFO - Epoch [69][1700/2506] lr: 1.415e-02, eta: 1 day, 0:05:26, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 2.4348, loss: 2.4348 +2025-05-14 12:42:50,175 - pyskl - INFO - Epoch [69][1800/2506] lr: 1.414e-02, eta: 1 day, 0:04:42, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8744, top5_acc: 0.9862, loss_cls: 2.5449, loss: 2.5449 +2025-05-14 12:43:30,294 - pyskl - INFO - Epoch [69][1900/2506] lr: 1.413e-02, eta: 1 day, 0:03:57, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.8738, top5_acc: 0.9856, loss_cls: 2.6142, loss: 2.6142 +2025-05-14 12:44:11,608 - pyskl - INFO - Epoch [69][2000/2506] lr: 1.412e-02, eta: 1 day, 0:03:13, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 2.5383, loss: 2.5383 +2025-05-14 12:44:52,753 - pyskl - INFO - Epoch [69][2100/2506] lr: 1.411e-02, eta: 1 day, 0:02:28, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9875, loss_cls: 2.3909, loss: 2.3909 +2025-05-14 12:45:34,553 - pyskl - INFO - Epoch [69][2200/2506] lr: 1.410e-02, eta: 1 day, 0:01:45, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 2.4603, loss: 2.4603 +2025-05-14 12:46:15,861 - pyskl - INFO - Epoch [69][2300/2506] lr: 1.409e-02, eta: 1 day, 0:01:01, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8888, top5_acc: 0.9844, loss_cls: 2.4471, loss: 2.4471 +2025-05-14 12:46:57,341 - pyskl - INFO - Epoch [69][2400/2506] lr: 1.408e-02, eta: 1 day, 0:00:17, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 2.5433, loss: 2.5433 +2025-05-14 12:47:37,936 - pyskl - INFO - Epoch [69][2500/2506] lr: 1.407e-02, eta: 23:59:32, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 2.4134, loss: 2.4134 +2025-05-14 12:47:41,431 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-05-14 12:48:54,757 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 12:48:54,824 - pyskl - INFO - +top1_acc 0.8445 +top5_acc 0.9755 +2025-05-14 12:48:54,827 - pyskl - INFO - Epoch(val) [69][1031] top1_acc: 0.8445, top5_acc: 0.9755 +2025-05-14 12:50:03,208 - pyskl - INFO - Epoch [70][100/2506] lr: 1.406e-02, eta: 23:59:15, time: 0.684, data_time: 0.269, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 2.3087, loss: 2.3087 +2025-05-14 12:50:45,245 - pyskl - INFO - Epoch [70][200/2506] lr: 1.405e-02, eta: 23:58:31, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8931, top5_acc: 0.9900, loss_cls: 2.4759, loss: 2.4759 +2025-05-14 12:51:27,082 - pyskl - INFO - Epoch [70][300/2506] lr: 1.404e-02, eta: 23:57:48, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9856, loss_cls: 2.4617, loss: 2.4617 +2025-05-14 12:52:08,738 - pyskl - INFO - Epoch [70][400/2506] lr: 1.403e-02, eta: 23:57:04, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 2.4238, loss: 2.4238 +2025-05-14 12:52:49,715 - pyskl - INFO - Epoch [70][500/2506] lr: 1.401e-02, eta: 23:56:20, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 2.4471, loss: 2.4471 +2025-05-14 12:53:31,476 - pyskl - INFO - Epoch [70][600/2506] lr: 1.400e-02, eta: 23:55:36, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9025, top5_acc: 0.9869, loss_cls: 2.4532, loss: 2.4532 +2025-05-14 12:54:13,361 - pyskl - INFO - Epoch [70][700/2506] lr: 1.399e-02, eta: 23:54:53, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 2.4372, loss: 2.4372 +2025-05-14 12:54:55,376 - pyskl - INFO - Epoch [70][800/2506] lr: 1.398e-02, eta: 23:54:10, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9931, loss_cls: 2.5118, loss: 2.5118 +2025-05-14 12:55:37,088 - pyskl - INFO - Epoch [70][900/2506] lr: 1.397e-02, eta: 23:53:26, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 2.3865, loss: 2.3865 +2025-05-14 12:56:18,977 - pyskl - INFO - Epoch [70][1000/2506] lr: 1.396e-02, eta: 23:52:43, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8775, top5_acc: 0.9894, loss_cls: 2.5109, loss: 2.5109 +2025-05-14 12:57:00,922 - pyskl - INFO - Epoch [70][1100/2506] lr: 1.395e-02, eta: 23:52:00, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8962, top5_acc: 0.9900, loss_cls: 2.4825, loss: 2.4825 +2025-05-14 12:57:42,745 - pyskl - INFO - Epoch [70][1200/2506] lr: 1.394e-02, eta: 23:51:16, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9925, loss_cls: 2.4504, loss: 2.4504 +2025-05-14 12:58:23,334 - pyskl - INFO - Epoch [70][1300/2506] lr: 1.393e-02, eta: 23:50:31, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 2.3599, loss: 2.3599 +2025-05-14 12:59:04,900 - pyskl - INFO - Epoch [70][1400/2506] lr: 1.392e-02, eta: 23:49:48, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 2.4201, loss: 2.4201 +2025-05-14 12:59:46,218 - pyskl - INFO - Epoch [70][1500/2506] lr: 1.391e-02, eta: 23:49:04, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8850, top5_acc: 0.9869, loss_cls: 2.4843, loss: 2.4843 +2025-05-14 13:00:28,152 - pyskl - INFO - Epoch [70][1600/2506] lr: 1.390e-02, eta: 23:48:21, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9925, loss_cls: 2.4483, loss: 2.4483 +2025-05-14 13:01:10,336 - pyskl - INFO - Epoch [70][1700/2506] lr: 1.389e-02, eta: 23:47:38, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9856, loss_cls: 2.4161, loss: 2.4161 +2025-05-14 13:01:51,966 - pyskl - INFO - Epoch [70][1800/2506] lr: 1.388e-02, eta: 23:46:54, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 2.4882, loss: 2.4882 +2025-05-14 13:02:34,050 - pyskl - INFO - Epoch [70][1900/2506] lr: 1.387e-02, eta: 23:46:11, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 2.4099, loss: 2.4099 +2025-05-14 13:03:14,954 - pyskl - INFO - Epoch [70][2000/2506] lr: 1.386e-02, eta: 23:45:26, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.8825, top5_acc: 0.9881, loss_cls: 2.6230, loss: 2.6230 +2025-05-14 13:03:55,820 - pyskl - INFO - Epoch [70][2100/2506] lr: 1.385e-02, eta: 23:44:42, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 2.4812, loss: 2.4812 +2025-05-14 13:04:37,451 - pyskl - INFO - Epoch [70][2200/2506] lr: 1.384e-02, eta: 23:43:58, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8906, top5_acc: 0.9812, loss_cls: 2.4809, loss: 2.4809 +2025-05-14 13:05:18,918 - pyskl - INFO - Epoch [70][2300/2506] lr: 1.383e-02, eta: 23:43:14, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 2.4268, loss: 2.4268 +2025-05-14 13:05:59,479 - pyskl - INFO - Epoch [70][2400/2506] lr: 1.382e-02, eta: 23:42:30, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 2.5860, loss: 2.5860 +2025-05-14 13:06:40,592 - pyskl - INFO - Epoch [70][2500/2506] lr: 1.381e-02, eta: 23:41:45, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 2.3668, loss: 2.3668 +2025-05-14 13:06:43,709 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-05-14 13:07:55,309 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 13:07:55,405 - pyskl - INFO - +top1_acc 0.8305 +top5_acc 0.9724 +2025-05-14 13:07:55,408 - pyskl - INFO - Epoch(val) [70][1031] top1_acc: 0.8305, top5_acc: 0.9724 +2025-05-14 13:09:01,968 - pyskl - INFO - Epoch [71][100/2506] lr: 1.380e-02, eta: 23:41:25, time: 0.666, data_time: 0.253, memory: 10841, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 2.3011, loss: 2.3011 +2025-05-14 13:09:43,829 - pyskl - INFO - Epoch [71][200/2506] lr: 1.379e-02, eta: 23:40:41, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8950, top5_acc: 0.9875, loss_cls: 2.4095, loss: 2.4095 +2025-05-14 13:10:24,820 - pyskl - INFO - Epoch [71][300/2506] lr: 1.378e-02, eta: 23:39:57, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8938, top5_acc: 0.9912, loss_cls: 2.4870, loss: 2.4870 +2025-05-14 13:11:06,729 - pyskl - INFO - Epoch [71][400/2506] lr: 1.377e-02, eta: 23:39:14, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 2.3358, loss: 2.3358 +2025-05-14 13:11:48,374 - pyskl - INFO - Epoch [71][500/2506] lr: 1.375e-02, eta: 23:38:30, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 2.2815, loss: 2.2815 +2025-05-14 13:12:30,157 - pyskl - INFO - Epoch [71][600/2506] lr: 1.374e-02, eta: 23:37:47, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 2.5212, loss: 2.5212 +2025-05-14 13:13:11,976 - pyskl - INFO - Epoch [71][700/2506] lr: 1.373e-02, eta: 23:37:03, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 2.4267, loss: 2.4267 +2025-05-14 13:13:52,965 - pyskl - INFO - Epoch [71][800/2506] lr: 1.372e-02, eta: 23:36:19, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 2.3443, loss: 2.3443 +2025-05-14 13:14:34,318 - pyskl - INFO - Epoch [71][900/2506] lr: 1.371e-02, eta: 23:35:35, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 2.3864, loss: 2.3864 +2025-05-14 13:15:15,706 - pyskl - INFO - Epoch [71][1000/2506] lr: 1.370e-02, eta: 23:34:51, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9006, top5_acc: 0.9862, loss_cls: 2.3503, loss: 2.3503 +2025-05-14 13:15:56,905 - pyskl - INFO - Epoch [71][1100/2506] lr: 1.369e-02, eta: 23:34:07, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.8800, top5_acc: 0.9850, loss_cls: 2.4952, loss: 2.4952 +2025-05-14 13:16:38,140 - pyskl - INFO - Epoch [71][1200/2506] lr: 1.368e-02, eta: 23:33:23, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.8944, top5_acc: 0.9888, loss_cls: 2.4169, loss: 2.4169 +2025-05-14 13:17:19,139 - pyskl - INFO - Epoch [71][1300/2506] lr: 1.367e-02, eta: 23:32:39, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 2.3886, loss: 2.3886 +2025-05-14 13:17:59,898 - pyskl - INFO - Epoch [71][1400/2506] lr: 1.366e-02, eta: 23:31:54, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.5135, loss: 2.5135 +2025-05-14 13:18:40,698 - pyskl - INFO - Epoch [71][1500/2506] lr: 1.365e-02, eta: 23:31:10, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.8806, top5_acc: 0.9831, loss_cls: 2.5330, loss: 2.5330 +2025-05-14 13:19:21,517 - pyskl - INFO - Epoch [71][1600/2506] lr: 1.364e-02, eta: 23:30:25, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.3782, loss: 2.3782 +2025-05-14 13:20:02,800 - pyskl - INFO - Epoch [71][1700/2506] lr: 1.363e-02, eta: 23:29:41, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9906, loss_cls: 2.4099, loss: 2.4099 +2025-05-14 13:20:44,805 - pyskl - INFO - Epoch [71][1800/2506] lr: 1.362e-02, eta: 23:28:58, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8931, top5_acc: 0.9912, loss_cls: 2.4660, loss: 2.4660 +2025-05-14 13:21:26,214 - pyskl - INFO - Epoch [71][1900/2506] lr: 1.361e-02, eta: 23:28:14, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8931, top5_acc: 0.9850, loss_cls: 2.5080, loss: 2.5080 +2025-05-14 13:22:07,391 - pyskl - INFO - Epoch [71][2000/2506] lr: 1.360e-02, eta: 23:27:30, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 2.5674, loss: 2.5674 +2025-05-14 13:22:48,129 - pyskl - INFO - Epoch [71][2100/2506] lr: 1.359e-02, eta: 23:26:46, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9931, loss_cls: 2.3827, loss: 2.3827 +2025-05-14 13:23:28,679 - pyskl - INFO - Epoch [71][2200/2506] lr: 1.358e-02, eta: 23:26:01, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 2.3713, loss: 2.3713 +2025-05-14 13:24:09,946 - pyskl - INFO - Epoch [71][2300/2506] lr: 1.357e-02, eta: 23:25:17, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 2.4552, loss: 2.4552 +2025-05-14 13:24:51,537 - pyskl - INFO - Epoch [71][2400/2506] lr: 1.356e-02, eta: 23:24:33, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 2.4863, loss: 2.4863 +2025-05-14 13:25:32,105 - pyskl - INFO - Epoch [71][2500/2506] lr: 1.355e-02, eta: 23:23:48, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 2.4546, loss: 2.4546 +2025-05-14 13:25:35,191 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-05-14 13:26:46,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 13:26:46,959 - pyskl - INFO - +top1_acc 0.8470 +top5_acc 0.9790 +2025-05-14 13:26:46,962 - pyskl - INFO - Epoch(val) [71][1031] top1_acc: 0.8470, top5_acc: 0.9790 +2025-05-14 13:27:55,859 - pyskl - INFO - Epoch [72][100/2506] lr: 1.354e-02, eta: 23:23:30, time: 0.689, data_time: 0.272, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 2.3648, loss: 2.3648 +2025-05-14 13:28:37,389 - pyskl - INFO - Epoch [72][200/2506] lr: 1.353e-02, eta: 23:22:46, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 2.3788, loss: 2.3788 +2025-05-14 13:29:19,643 - pyskl - INFO - Epoch [72][300/2506] lr: 1.351e-02, eta: 23:22:03, time: 0.423, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 2.3905, loss: 2.3905 +2025-05-14 13:30:01,553 - pyskl - INFO - Epoch [72][400/2506] lr: 1.350e-02, eta: 23:21:20, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 2.3644, loss: 2.3644 +2025-05-14 13:30:43,053 - pyskl - INFO - Epoch [72][500/2506] lr: 1.349e-02, eta: 23:20:36, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 2.3555, loss: 2.3555 +2025-05-14 13:31:24,480 - pyskl - INFO - Epoch [72][600/2506] lr: 1.348e-02, eta: 23:19:52, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 2.3668, loss: 2.3668 +2025-05-14 13:32:04,929 - pyskl - INFO - Epoch [72][700/2506] lr: 1.347e-02, eta: 23:19:07, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 2.2933, loss: 2.2933 +2025-05-14 13:32:46,268 - pyskl - INFO - Epoch [72][800/2506] lr: 1.346e-02, eta: 23:18:24, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8925, top5_acc: 0.9838, loss_cls: 2.5162, loss: 2.5162 +2025-05-14 13:33:27,629 - pyskl - INFO - Epoch [72][900/2506] lr: 1.345e-02, eta: 23:17:40, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 2.5244, loss: 2.5244 +2025-05-14 13:34:09,688 - pyskl - INFO - Epoch [72][1000/2506] lr: 1.344e-02, eta: 23:16:57, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 2.4077, loss: 2.4077 +2025-05-14 13:34:51,141 - pyskl - INFO - Epoch [72][1100/2506] lr: 1.343e-02, eta: 23:16:13, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 2.4903, loss: 2.4903 +2025-05-14 13:35:31,913 - pyskl - INFO - Epoch [72][1200/2506] lr: 1.342e-02, eta: 23:15:28, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 2.2867, loss: 2.2867 +2025-05-14 13:36:13,028 - pyskl - INFO - Epoch [72][1300/2506] lr: 1.341e-02, eta: 23:14:44, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 2.3330, loss: 2.3330 +2025-05-14 13:36:54,283 - pyskl - INFO - Epoch [72][1400/2506] lr: 1.340e-02, eta: 23:14:00, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 2.4526, loss: 2.4526 +2025-05-14 13:37:34,560 - pyskl - INFO - Epoch [72][1500/2506] lr: 1.339e-02, eta: 23:13:15, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 2.5083, loss: 2.5083 +2025-05-14 13:38:16,359 - pyskl - INFO - Epoch [72][1600/2506] lr: 1.338e-02, eta: 23:12:32, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9931, loss_cls: 2.4223, loss: 2.4223 +2025-05-14 13:38:57,068 - pyskl - INFO - Epoch [72][1700/2506] lr: 1.337e-02, eta: 23:11:47, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.8950, top5_acc: 0.9825, loss_cls: 2.4373, loss: 2.4373 +2025-05-14 13:39:37,516 - pyskl - INFO - Epoch [72][1800/2506] lr: 1.336e-02, eta: 23:11:02, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 2.4662, loss: 2.4662 +2025-05-14 13:40:19,405 - pyskl - INFO - Epoch [72][1900/2506] lr: 1.335e-02, eta: 23:10:19, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 2.3854, loss: 2.3854 +2025-05-14 13:41:00,954 - pyskl - INFO - Epoch [72][2000/2506] lr: 1.334e-02, eta: 23:09:36, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 2.3271, loss: 2.3271 +2025-05-14 13:41:41,812 - pyskl - INFO - Epoch [72][2100/2506] lr: 1.333e-02, eta: 23:08:51, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.8950, top5_acc: 0.9875, loss_cls: 2.4997, loss: 2.4997 +2025-05-14 13:42:23,035 - pyskl - INFO - Epoch [72][2200/2506] lr: 1.332e-02, eta: 23:08:07, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9881, loss_cls: 2.4215, loss: 2.4215 +2025-05-14 13:43:04,483 - pyskl - INFO - Epoch [72][2300/2506] lr: 1.331e-02, eta: 23:07:23, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8881, top5_acc: 0.9844, loss_cls: 2.4760, loss: 2.4760 +2025-05-14 13:43:45,387 - pyskl - INFO - Epoch [72][2400/2506] lr: 1.330e-02, eta: 23:06:39, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 2.4261, loss: 2.4261 +2025-05-14 13:44:27,366 - pyskl - INFO - Epoch [72][2500/2506] lr: 1.329e-02, eta: 23:05:56, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9862, loss_cls: 2.5153, loss: 2.5153 +2025-05-14 13:44:30,593 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-05-14 13:45:42,194 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 13:45:42,259 - pyskl - INFO - +top1_acc 0.8595 +top5_acc 0.9776 +2025-05-14 13:45:42,262 - pyskl - INFO - Epoch(val) [72][1031] top1_acc: 0.8595, top5_acc: 0.9776 +2025-05-14 13:46:49,481 - pyskl - INFO - Epoch [73][100/2506] lr: 1.327e-02, eta: 23:05:35, time: 0.672, data_time: 0.263, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 2.3846, loss: 2.3846 +2025-05-14 13:47:31,516 - pyskl - INFO - Epoch [73][200/2506] lr: 1.326e-02, eta: 23:04:52, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 2.3772, loss: 2.3772 +2025-05-14 13:48:13,133 - pyskl - INFO - Epoch [73][300/2506] lr: 1.325e-02, eta: 23:04:08, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 2.3195, loss: 2.3195 +2025-05-14 13:48:54,647 - pyskl - INFO - Epoch [73][400/2506] lr: 1.324e-02, eta: 23:03:25, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 2.4372, loss: 2.4372 +2025-05-14 13:49:36,317 - pyskl - INFO - Epoch [73][500/2506] lr: 1.323e-02, eta: 23:02:41, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 2.4560, loss: 2.4560 +2025-05-14 13:50:17,269 - pyskl - INFO - Epoch [73][600/2506] lr: 1.322e-02, eta: 23:01:57, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 2.4453, loss: 2.4453 +2025-05-14 13:50:59,372 - pyskl - INFO - Epoch [73][700/2506] lr: 1.321e-02, eta: 23:01:14, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 2.3458, loss: 2.3458 +2025-05-14 13:51:40,642 - pyskl - INFO - Epoch [73][800/2506] lr: 1.320e-02, eta: 23:00:30, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 2.3114, loss: 2.3114 +2025-05-14 13:52:22,144 - pyskl - INFO - Epoch [73][900/2506] lr: 1.319e-02, eta: 22:59:46, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.2998, loss: 2.2998 +2025-05-14 13:53:02,299 - pyskl - INFO - Epoch [73][1000/2506] lr: 1.318e-02, eta: 22:59:01, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 2.3942, loss: 2.3942 +2025-05-14 13:53:43,541 - pyskl - INFO - Epoch [73][1100/2506] lr: 1.317e-02, eta: 22:58:17, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 2.3971, loss: 2.3971 +2025-05-14 13:54:25,150 - pyskl - INFO - Epoch [73][1200/2506] lr: 1.316e-02, eta: 22:57:33, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 2.4803, loss: 2.4803 +2025-05-14 13:55:06,209 - pyskl - INFO - Epoch [73][1300/2506] lr: 1.315e-02, eta: 22:56:49, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 2.4589, loss: 2.4589 +2025-05-14 13:55:47,089 - pyskl - INFO - Epoch [73][1400/2506] lr: 1.314e-02, eta: 22:56:05, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 2.4019, loss: 2.4019 +2025-05-14 13:56:27,993 - pyskl - INFO - Epoch [73][1500/2506] lr: 1.313e-02, eta: 22:55:21, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 2.3765, loss: 2.3765 +2025-05-14 13:57:11,424 - pyskl - INFO - Epoch [73][1600/2506] lr: 1.312e-02, eta: 22:54:39, time: 0.434, data_time: 0.000, memory: 10841, top1_acc: 0.8950, top5_acc: 0.9856, loss_cls: 2.4451, loss: 2.4451 +2025-05-14 13:57:53,765 - pyskl - INFO - Epoch [73][1700/2506] lr: 1.311e-02, eta: 22:53:56, time: 0.423, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9844, loss_cls: 2.4584, loss: 2.4584 +2025-05-14 13:58:34,447 - pyskl - INFO - Epoch [73][1800/2506] lr: 1.310e-02, eta: 22:53:12, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9862, loss_cls: 2.3652, loss: 2.3652 +2025-05-14 13:59:15,769 - pyskl - INFO - Epoch [73][1900/2506] lr: 1.309e-02, eta: 22:52:28, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 2.3138, loss: 2.3138 +2025-05-14 13:59:57,553 - pyskl - INFO - Epoch [73][2000/2506] lr: 1.308e-02, eta: 22:51:45, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 2.4264, loss: 2.4264 +2025-05-14 14:00:38,968 - pyskl - INFO - Epoch [73][2100/2506] lr: 1.307e-02, eta: 22:51:01, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8875, top5_acc: 0.9825, loss_cls: 2.4481, loss: 2.4481 +2025-05-14 14:01:20,667 - pyskl - INFO - Epoch [73][2200/2506] lr: 1.306e-02, eta: 22:50:17, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 2.4892, loss: 2.4892 +2025-05-14 14:02:02,641 - pyskl - INFO - Epoch [73][2300/2506] lr: 1.305e-02, eta: 22:49:34, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8881, top5_acc: 0.9844, loss_cls: 2.4277, loss: 2.4277 +2025-05-14 14:02:44,279 - pyskl - INFO - Epoch [73][2400/2506] lr: 1.303e-02, eta: 22:48:51, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 2.3413, loss: 2.3413 +2025-05-14 14:03:25,871 - pyskl - INFO - Epoch [73][2500/2506] lr: 1.302e-02, eta: 22:48:07, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 2.3972, loss: 2.3972 +2025-05-14 14:03:29,042 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-05-14 14:04:41,777 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 14:04:41,879 - pyskl - INFO - +top1_acc 0.8494 +top5_acc 0.9757 +2025-05-14 14:04:41,884 - pyskl - INFO - Epoch(val) [73][1031] top1_acc: 0.8494, top5_acc: 0.9757 +2025-05-14 14:05:50,526 - pyskl - INFO - Epoch [74][100/2506] lr: 1.301e-02, eta: 22:47:47, time: 0.686, data_time: 0.269, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 2.2834, loss: 2.2834 +2025-05-14 14:06:31,820 - pyskl - INFO - Epoch [74][200/2506] lr: 1.300e-02, eta: 22:47:03, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 2.4376, loss: 2.4376 +2025-05-14 14:07:13,702 - pyskl - INFO - Epoch [74][300/2506] lr: 1.299e-02, eta: 22:46:20, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 2.3074, loss: 2.3074 +2025-05-14 14:07:55,708 - pyskl - INFO - Epoch [74][400/2506] lr: 1.298e-02, eta: 22:45:37, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 2.4843, loss: 2.4843 +2025-05-14 14:08:36,792 - pyskl - INFO - Epoch [74][500/2506] lr: 1.297e-02, eta: 22:44:53, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 2.4311, loss: 2.4311 +2025-05-14 14:09:18,416 - pyskl - INFO - Epoch [74][600/2506] lr: 1.296e-02, eta: 22:44:09, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8925, top5_acc: 0.9919, loss_cls: 2.3910, loss: 2.3910 +2025-05-14 14:09:59,931 - pyskl - INFO - Epoch [74][700/2506] lr: 1.295e-02, eta: 22:43:26, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 2.3629, loss: 2.3629 +2025-05-14 14:10:41,711 - pyskl - INFO - Epoch [74][800/2506] lr: 1.294e-02, eta: 22:42:42, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8925, top5_acc: 0.9900, loss_cls: 2.4392, loss: 2.4392 +2025-05-14 14:11:23,853 - pyskl - INFO - Epoch [74][900/2506] lr: 1.293e-02, eta: 22:41:59, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 2.2983, loss: 2.2983 +2025-05-14 14:12:05,693 - pyskl - INFO - Epoch [74][1000/2506] lr: 1.292e-02, eta: 22:41:16, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 2.3736, loss: 2.3736 +2025-05-14 14:12:46,735 - pyskl - INFO - Epoch [74][1100/2506] lr: 1.291e-02, eta: 22:40:32, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 2.3204, loss: 2.3204 +2025-05-14 14:13:27,410 - pyskl - INFO - Epoch [74][1200/2506] lr: 1.290e-02, eta: 22:39:47, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9938, loss_cls: 2.3691, loss: 2.3691 +2025-05-14 14:14:09,085 - pyskl - INFO - Epoch [74][1300/2506] lr: 1.289e-02, eta: 22:39:04, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8819, top5_acc: 0.9831, loss_cls: 2.4204, loss: 2.4204 +2025-05-14 14:14:50,701 - pyskl - INFO - Epoch [74][1400/2506] lr: 1.288e-02, eta: 22:38:20, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 2.3614, loss: 2.3614 +2025-05-14 14:15:31,778 - pyskl - INFO - Epoch [74][1500/2506] lr: 1.287e-02, eta: 22:37:36, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9087, top5_acc: 0.9875, loss_cls: 2.3595, loss: 2.3595 +2025-05-14 14:16:13,086 - pyskl - INFO - Epoch [74][1600/2506] lr: 1.286e-02, eta: 22:36:52, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9087, top5_acc: 0.9931, loss_cls: 2.3432, loss: 2.3432 +2025-05-14 14:16:54,378 - pyskl - INFO - Epoch [74][1700/2506] lr: 1.285e-02, eta: 22:36:09, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9869, loss_cls: 2.4277, loss: 2.4277 +2025-05-14 14:17:35,423 - pyskl - INFO - Epoch [74][1800/2506] lr: 1.284e-02, eta: 22:35:24, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 2.4490, loss: 2.4490 +2025-05-14 14:18:17,366 - pyskl - INFO - Epoch [74][1900/2506] lr: 1.283e-02, eta: 22:34:41, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 2.3889, loss: 2.3889 +2025-05-14 14:18:59,304 - pyskl - INFO - Epoch [74][2000/2506] lr: 1.281e-02, eta: 22:33:58, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 2.4309, loss: 2.4309 +2025-05-14 14:19:40,453 - pyskl - INFO - Epoch [74][2100/2506] lr: 1.280e-02, eta: 22:33:14, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.8975, top5_acc: 0.9862, loss_cls: 2.4512, loss: 2.4512 +2025-05-14 14:20:22,481 - pyskl - INFO - Epoch [74][2200/2506] lr: 1.279e-02, eta: 22:32:31, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 2.3532, loss: 2.3532 +2025-05-14 14:21:04,213 - pyskl - INFO - Epoch [74][2300/2506] lr: 1.278e-02, eta: 22:31:48, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 2.4536, loss: 2.4536 +2025-05-14 14:21:46,274 - pyskl - INFO - Epoch [74][2400/2506] lr: 1.277e-02, eta: 22:31:05, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 2.2685, loss: 2.2685 +2025-05-14 14:22:28,129 - pyskl - INFO - Epoch [74][2500/2506] lr: 1.276e-02, eta: 22:30:21, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 2.4325, loss: 2.4325 +2025-05-14 14:22:31,253 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-05-14 14:23:44,606 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 14:23:44,679 - pyskl - INFO - +top1_acc 0.8516 +top5_acc 0.9777 +2025-05-14 14:23:44,682 - pyskl - INFO - Epoch(val) [74][1031] top1_acc: 0.8516, top5_acc: 0.9777 +2025-05-14 14:24:54,458 - pyskl - INFO - Epoch [75][100/2506] lr: 1.275e-02, eta: 22:30:02, time: 0.698, data_time: 0.278, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 2.2308, loss: 2.2308 +2025-05-14 14:25:36,560 - pyskl - INFO - Epoch [75][200/2506] lr: 1.274e-02, eta: 22:29:19, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 2.3464, loss: 2.3464 +2025-05-14 14:26:18,419 - pyskl - INFO - Epoch [75][300/2506] lr: 1.273e-02, eta: 22:28:35, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9044, top5_acc: 0.9875, loss_cls: 2.3517, loss: 2.3517 +2025-05-14 14:27:00,120 - pyskl - INFO - Epoch [75][400/2506] lr: 1.272e-02, eta: 22:27:52, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9044, top5_acc: 0.9850, loss_cls: 2.3684, loss: 2.3684 +2025-05-14 14:27:41,691 - pyskl - INFO - Epoch [75][500/2506] lr: 1.271e-02, eta: 22:27:08, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 2.2407, loss: 2.2407 +2025-05-14 14:28:23,179 - pyskl - INFO - Epoch [75][600/2506] lr: 1.270e-02, eta: 22:26:25, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9075, top5_acc: 0.9944, loss_cls: 2.2941, loss: 2.2941 +2025-05-14 14:29:04,873 - pyskl - INFO - Epoch [75][700/2506] lr: 1.269e-02, eta: 22:25:41, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 2.3533, loss: 2.3533 +2025-05-14 14:29:46,719 - pyskl - INFO - Epoch [75][800/2506] lr: 1.268e-02, eta: 22:24:58, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8962, top5_acc: 0.9881, loss_cls: 2.4425, loss: 2.4425 +2025-05-14 14:30:28,925 - pyskl - INFO - Epoch [75][900/2506] lr: 1.267e-02, eta: 22:24:15, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 2.4519, loss: 2.4519 +2025-05-14 14:31:09,768 - pyskl - INFO - Epoch [75][1000/2506] lr: 1.266e-02, eta: 22:23:31, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.8919, top5_acc: 0.9856, loss_cls: 2.4702, loss: 2.4702 +2025-05-14 14:31:51,683 - pyskl - INFO - Epoch [75][1100/2506] lr: 1.265e-02, eta: 22:22:48, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 2.3291, loss: 2.3291 +2025-05-14 14:32:33,569 - pyskl - INFO - Epoch [75][1200/2506] lr: 1.264e-02, eta: 22:22:04, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.3777, loss: 2.3777 +2025-05-14 14:33:15,626 - pyskl - INFO - Epoch [75][1300/2506] lr: 1.263e-02, eta: 22:21:21, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 2.2756, loss: 2.2756 +2025-05-14 14:33:57,714 - pyskl - INFO - Epoch [75][1400/2506] lr: 1.262e-02, eta: 22:20:38, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 2.4009, loss: 2.4009 +2025-05-14 14:34:40,129 - pyskl - INFO - Epoch [75][1500/2506] lr: 1.261e-02, eta: 22:19:56, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.8881, top5_acc: 0.9912, loss_cls: 2.3813, loss: 2.3813 +2025-05-14 14:35:22,837 - pyskl - INFO - Epoch [75][1600/2506] lr: 1.259e-02, eta: 22:19:13, time: 0.427, data_time: 0.000, memory: 10841, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 2.3615, loss: 2.3615 +2025-05-14 14:36:05,221 - pyskl - INFO - Epoch [75][1700/2506] lr: 1.258e-02, eta: 22:18:31, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 2.4499, loss: 2.4499 +2025-05-14 14:36:46,553 - pyskl - INFO - Epoch [75][1800/2506] lr: 1.257e-02, eta: 22:17:47, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 2.4270, loss: 2.4270 +2025-05-14 14:37:26,782 - pyskl - INFO - Epoch [75][1900/2506] lr: 1.256e-02, eta: 22:17:02, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.8862, top5_acc: 0.9894, loss_cls: 2.4176, loss: 2.4176 +2025-05-14 14:38:08,374 - pyskl - INFO - Epoch [75][2000/2506] lr: 1.255e-02, eta: 22:16:18, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8900, top5_acc: 0.9788, loss_cls: 2.4627, loss: 2.4627 +2025-05-14 14:38:48,956 - pyskl - INFO - Epoch [75][2100/2506] lr: 1.254e-02, eta: 22:15:34, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.8894, top5_acc: 0.9900, loss_cls: 2.3897, loss: 2.3897 +2025-05-14 14:39:30,313 - pyskl - INFO - Epoch [75][2200/2506] lr: 1.253e-02, eta: 22:14:50, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 2.3627, loss: 2.3627 +2025-05-14 14:40:11,265 - pyskl - INFO - Epoch [75][2300/2506] lr: 1.252e-02, eta: 22:14:06, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9056, top5_acc: 0.9881, loss_cls: 2.3409, loss: 2.3409 +2025-05-14 14:40:53,192 - pyskl - INFO - Epoch [75][2400/2506] lr: 1.251e-02, eta: 22:13:23, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 2.4204, loss: 2.4204 +2025-05-14 14:41:35,117 - pyskl - INFO - Epoch [75][2500/2506] lr: 1.250e-02, eta: 22:12:40, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9038, top5_acc: 0.9938, loss_cls: 2.3043, loss: 2.3043 +2025-05-14 14:41:38,338 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-05-14 14:42:51,082 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 14:42:51,156 - pyskl - INFO - +top1_acc 0.8549 +top5_acc 0.9773 +2025-05-14 14:42:51,159 - pyskl - INFO - Epoch(val) [75][1031] top1_acc: 0.8549, top5_acc: 0.9773 +2025-05-14 14:44:00,544 - pyskl - INFO - Epoch [76][100/2506] lr: 1.249e-02, eta: 22:12:19, time: 0.694, data_time: 0.271, memory: 10841, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 2.3533, loss: 2.3533 +2025-05-14 14:44:46,839 - pyskl - INFO - Epoch [76][200/2506] lr: 1.248e-02, eta: 22:11:40, time: 0.463, data_time: 0.001, memory: 10841, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 2.3043, loss: 2.3043 +2025-05-14 14:45:28,321 - pyskl - INFO - Epoch [76][300/2506] lr: 1.247e-02, eta: 22:10:56, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 2.2838, loss: 2.2838 +2025-05-14 14:46:10,132 - pyskl - INFO - Epoch [76][400/2506] lr: 1.246e-02, eta: 22:10:13, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 2.2801, loss: 2.2801 +2025-05-14 14:46:52,039 - pyskl - INFO - Epoch [76][500/2506] lr: 1.245e-02, eta: 22:09:30, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 2.2420, loss: 2.2420 +2025-05-14 14:47:33,963 - pyskl - INFO - Epoch [76][600/2506] lr: 1.244e-02, eta: 22:08:47, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 2.4253, loss: 2.4253 +2025-05-14 14:48:16,157 - pyskl - INFO - Epoch [76][700/2506] lr: 1.243e-02, eta: 22:08:04, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9056, top5_acc: 0.9862, loss_cls: 2.3557, loss: 2.3557 +2025-05-14 14:48:58,519 - pyskl - INFO - Epoch [76][800/2506] lr: 1.242e-02, eta: 22:07:21, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 2.2944, loss: 2.2944 +2025-05-14 14:49:40,318 - pyskl - INFO - Epoch [76][900/2506] lr: 1.241e-02, eta: 22:06:38, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9006, top5_acc: 0.9931, loss_cls: 2.3582, loss: 2.3582 +2025-05-14 14:50:22,532 - pyskl - INFO - Epoch [76][1000/2506] lr: 1.240e-02, eta: 22:05:55, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 2.2973, loss: 2.2973 +2025-05-14 14:51:04,290 - pyskl - INFO - Epoch [76][1100/2506] lr: 1.239e-02, eta: 22:05:12, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 2.2902, loss: 2.2902 +2025-05-14 14:51:46,113 - pyskl - INFO - Epoch [76][1200/2506] lr: 1.237e-02, eta: 22:04:28, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 2.2772, loss: 2.2772 +2025-05-14 14:52:28,174 - pyskl - INFO - Epoch [76][1300/2506] lr: 1.236e-02, eta: 22:03:45, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9875, loss_cls: 2.3707, loss: 2.3707 +2025-05-14 14:53:10,302 - pyskl - INFO - Epoch [76][1400/2506] lr: 1.235e-02, eta: 22:03:02, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 2.3194, loss: 2.3194 +2025-05-14 14:53:52,173 - pyskl - INFO - Epoch [76][1500/2506] lr: 1.234e-02, eta: 22:02:19, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9869, loss_cls: 2.3380, loss: 2.3380 +2025-05-14 14:54:33,929 - pyskl - INFO - Epoch [76][1600/2506] lr: 1.233e-02, eta: 22:01:36, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 2.4643, loss: 2.4643 +2025-05-14 14:55:15,756 - pyskl - INFO - Epoch [76][1700/2506] lr: 1.232e-02, eta: 22:00:52, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 2.3014, loss: 2.3014 +2025-05-14 14:55:57,736 - pyskl - INFO - Epoch [76][1800/2506] lr: 1.231e-02, eta: 22:00:09, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8906, top5_acc: 0.9912, loss_cls: 2.4225, loss: 2.4225 +2025-05-14 14:56:39,145 - pyskl - INFO - Epoch [76][1900/2506] lr: 1.230e-02, eta: 21:59:26, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9850, loss_cls: 2.4644, loss: 2.4644 +2025-05-14 14:57:20,901 - pyskl - INFO - Epoch [76][2000/2506] lr: 1.229e-02, eta: 21:58:42, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 2.3604, loss: 2.3604 +2025-05-14 14:58:02,657 - pyskl - INFO - Epoch [76][2100/2506] lr: 1.228e-02, eta: 21:57:59, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 2.3723, loss: 2.3723 +2025-05-14 14:58:44,635 - pyskl - INFO - Epoch [76][2200/2506] lr: 1.227e-02, eta: 21:57:16, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 2.2913, loss: 2.2913 +2025-05-14 14:59:26,493 - pyskl - INFO - Epoch [76][2300/2506] lr: 1.226e-02, eta: 21:56:33, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 2.3669, loss: 2.3669 +2025-05-14 15:00:08,416 - pyskl - INFO - Epoch [76][2400/2506] lr: 1.225e-02, eta: 21:55:50, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 2.4533, loss: 2.4533 +2025-05-14 15:00:50,245 - pyskl - INFO - Epoch [76][2500/2506] lr: 1.224e-02, eta: 21:55:06, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 2.3160, loss: 2.3160 +2025-05-14 15:00:53,696 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-05-14 15:02:07,310 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 15:02:07,414 - pyskl - INFO - +top1_acc 0.8524 +top5_acc 0.9785 +2025-05-14 15:02:07,420 - pyskl - INFO - Epoch(val) [76][1031] top1_acc: 0.8524, top5_acc: 0.9785 +2025-05-14 15:03:17,697 - pyskl - INFO - Epoch [77][100/2506] lr: 1.223e-02, eta: 21:54:46, time: 0.703, data_time: 0.283, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 2.1592, loss: 2.1592 +2025-05-14 15:03:59,455 - pyskl - INFO - Epoch [77][200/2506] lr: 1.222e-02, eta: 21:54:02, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 2.3623, loss: 2.3623 +2025-05-14 15:04:41,014 - pyskl - INFO - Epoch [77][300/2506] lr: 1.221e-02, eta: 21:53:19, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9925, loss_cls: 2.3635, loss: 2.3635 +2025-05-14 15:05:22,349 - pyskl - INFO - Epoch [77][400/2506] lr: 1.220e-02, eta: 21:52:35, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.3384, loss: 2.3384 +2025-05-14 15:06:04,278 - pyskl - INFO - Epoch [77][500/2506] lr: 1.219e-02, eta: 21:51:52, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 2.2781, loss: 2.2781 +2025-05-14 15:06:45,949 - pyskl - INFO - Epoch [77][600/2506] lr: 1.218e-02, eta: 21:51:08, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9213, top5_acc: 0.9881, loss_cls: 2.1974, loss: 2.1974 +2025-05-14 15:07:27,146 - pyskl - INFO - Epoch [77][700/2506] lr: 1.217e-02, eta: 21:50:25, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 2.4131, loss: 2.4131 +2025-05-14 15:08:08,793 - pyskl - INFO - Epoch [77][800/2506] lr: 1.215e-02, eta: 21:49:41, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 2.2681, loss: 2.2681 +2025-05-14 15:08:50,473 - pyskl - INFO - Epoch [77][900/2506] lr: 1.214e-02, eta: 21:48:58, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 2.4071, loss: 2.4071 +2025-05-14 15:09:31,820 - pyskl - INFO - Epoch [77][1000/2506] lr: 1.213e-02, eta: 21:48:14, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 2.2843, loss: 2.2843 +2025-05-14 15:10:13,816 - pyskl - INFO - Epoch [77][1100/2506] lr: 1.212e-02, eta: 21:47:31, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8919, top5_acc: 0.9925, loss_cls: 2.3048, loss: 2.3048 +2025-05-14 15:10:55,398 - pyskl - INFO - Epoch [77][1200/2506] lr: 1.211e-02, eta: 21:46:47, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 2.3085, loss: 2.3085 +2025-05-14 15:11:37,066 - pyskl - INFO - Epoch [77][1300/2506] lr: 1.210e-02, eta: 21:46:04, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9919, loss_cls: 2.3458, loss: 2.3458 +2025-05-14 15:12:19,044 - pyskl - INFO - Epoch [77][1400/2506] lr: 1.209e-02, eta: 21:45:21, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 2.3412, loss: 2.3412 +2025-05-14 15:13:00,349 - pyskl - INFO - Epoch [77][1500/2506] lr: 1.208e-02, eta: 21:44:37, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 2.3954, loss: 2.3954 +2025-05-14 15:13:42,283 - pyskl - INFO - Epoch [77][1600/2506] lr: 1.207e-02, eta: 21:43:54, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 2.3469, loss: 2.3469 +2025-05-14 15:14:23,893 - pyskl - INFO - Epoch [77][1700/2506] lr: 1.206e-02, eta: 21:43:11, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9912, loss_cls: 2.3432, loss: 2.3432 +2025-05-14 15:15:05,751 - pyskl - INFO - Epoch [77][1800/2506] lr: 1.205e-02, eta: 21:42:27, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 2.2999, loss: 2.2999 +2025-05-14 15:15:47,153 - pyskl - INFO - Epoch [77][1900/2506] lr: 1.204e-02, eta: 21:41:44, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8962, top5_acc: 0.9900, loss_cls: 2.3475, loss: 2.3475 +2025-05-14 15:16:29,070 - pyskl - INFO - Epoch [77][2000/2506] lr: 1.203e-02, eta: 21:41:00, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 2.4412, loss: 2.4412 +2025-05-14 15:17:10,885 - pyskl - INFO - Epoch [77][2100/2506] lr: 1.202e-02, eta: 21:40:17, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 2.4269, loss: 2.4269 +2025-05-14 15:17:52,780 - pyskl - INFO - Epoch [77][2200/2506] lr: 1.201e-02, eta: 21:39:34, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 2.3191, loss: 2.3191 +2025-05-14 15:18:34,636 - pyskl - INFO - Epoch [77][2300/2506] lr: 1.200e-02, eta: 21:38:51, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.2937, loss: 2.2937 +2025-05-14 15:19:16,053 - pyskl - INFO - Epoch [77][2400/2506] lr: 1.199e-02, eta: 21:38:07, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 2.4238, loss: 2.4238 +2025-05-14 15:19:57,897 - pyskl - INFO - Epoch [77][2500/2506] lr: 1.198e-02, eta: 21:37:24, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9931, loss_cls: 2.3243, loss: 2.3243 +2025-05-14 15:20:01,113 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-05-14 15:21:13,900 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 15:21:13,975 - pyskl - INFO - +top1_acc 0.8535 +top5_acc 0.9801 +2025-05-14 15:21:13,978 - pyskl - INFO - Epoch(val) [77][1031] top1_acc: 0.8535, top5_acc: 0.9801 +2025-05-14 15:22:23,225 - pyskl - INFO - Epoch [78][100/2506] lr: 1.197e-02, eta: 21:37:02, time: 0.692, data_time: 0.274, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9919, loss_cls: 2.3665, loss: 2.3665 +2025-05-14 15:23:05,429 - pyskl - INFO - Epoch [78][200/2506] lr: 1.196e-02, eta: 21:36:19, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 2.2696, loss: 2.2696 +2025-05-14 15:23:46,987 - pyskl - INFO - Epoch [78][300/2506] lr: 1.195e-02, eta: 21:35:35, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 2.3671, loss: 2.3671 +2025-05-14 15:24:28,877 - pyskl - INFO - Epoch [78][400/2506] lr: 1.193e-02, eta: 21:34:52, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9056, top5_acc: 0.9956, loss_cls: 2.3036, loss: 2.3036 +2025-05-14 15:25:11,034 - pyskl - INFO - Epoch [78][500/2506] lr: 1.192e-02, eta: 21:34:09, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 2.2419, loss: 2.2419 +2025-05-14 15:25:53,048 - pyskl - INFO - Epoch [78][600/2506] lr: 1.191e-02, eta: 21:33:26, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9944, loss_cls: 2.3140, loss: 2.3140 +2025-05-14 15:26:35,080 - pyskl - INFO - Epoch [78][700/2506] lr: 1.190e-02, eta: 21:32:43, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8888, top5_acc: 0.9869, loss_cls: 2.3832, loss: 2.3832 +2025-05-14 15:27:16,689 - pyskl - INFO - Epoch [78][800/2506] lr: 1.189e-02, eta: 21:32:00, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 2.4148, loss: 2.4148 +2025-05-14 15:27:58,843 - pyskl - INFO - Epoch [78][900/2506] lr: 1.188e-02, eta: 21:31:17, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 2.2659, loss: 2.2659 +2025-05-14 15:28:40,955 - pyskl - INFO - Epoch [78][1000/2506] lr: 1.187e-02, eta: 21:30:34, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 2.3529, loss: 2.3529 +2025-05-14 15:29:22,311 - pyskl - INFO - Epoch [78][1100/2506] lr: 1.186e-02, eta: 21:29:50, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 2.2522, loss: 2.2522 +2025-05-14 15:30:04,252 - pyskl - INFO - Epoch [78][1200/2506] lr: 1.185e-02, eta: 21:29:07, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9894, loss_cls: 2.2137, loss: 2.2137 +2025-05-14 15:30:46,171 - pyskl - INFO - Epoch [78][1300/2506] lr: 1.184e-02, eta: 21:28:24, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 2.2193, loss: 2.2193 +2025-05-14 15:31:27,775 - pyskl - INFO - Epoch [78][1400/2506] lr: 1.183e-02, eta: 21:27:40, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 2.3247, loss: 2.3247 +2025-05-14 15:32:09,323 - pyskl - INFO - Epoch [78][1500/2506] lr: 1.182e-02, eta: 21:26:57, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 2.2599, loss: 2.2599 +2025-05-14 15:32:49,717 - pyskl - INFO - Epoch [78][1600/2506] lr: 1.181e-02, eta: 21:26:12, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 2.2576, loss: 2.2576 +2025-05-14 15:33:30,573 - pyskl - INFO - Epoch [78][1700/2506] lr: 1.180e-02, eta: 21:25:28, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.8875, top5_acc: 0.9831, loss_cls: 2.3384, loss: 2.3384 +2025-05-14 15:34:12,095 - pyskl - INFO - Epoch [78][1800/2506] lr: 1.179e-02, eta: 21:24:44, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 2.3375, loss: 2.3375 +2025-05-14 15:34:53,734 - pyskl - INFO - Epoch [78][1900/2506] lr: 1.178e-02, eta: 21:24:01, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9156, top5_acc: 0.9850, loss_cls: 2.3139, loss: 2.3139 +2025-05-14 15:35:35,266 - pyskl - INFO - Epoch [78][2000/2506] lr: 1.177e-02, eta: 21:23:18, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9938, loss_cls: 2.3186, loss: 2.3186 +2025-05-14 15:36:16,513 - pyskl - INFO - Epoch [78][2100/2506] lr: 1.176e-02, eta: 21:22:34, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 2.2929, loss: 2.2929 +2025-05-14 15:36:57,935 - pyskl - INFO - Epoch [78][2200/2506] lr: 1.175e-02, eta: 21:21:50, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 2.3106, loss: 2.3106 +2025-05-14 15:37:39,774 - pyskl - INFO - Epoch [78][2300/2506] lr: 1.174e-02, eta: 21:21:07, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 2.3689, loss: 2.3689 +2025-05-14 15:38:21,412 - pyskl - INFO - Epoch [78][2400/2506] lr: 1.173e-02, eta: 21:20:24, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9038, top5_acc: 0.9931, loss_cls: 2.3065, loss: 2.3065 +2025-05-14 15:39:03,163 - pyskl - INFO - Epoch [78][2500/2506] lr: 1.172e-02, eta: 21:19:40, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8812, top5_acc: 0.9869, loss_cls: 2.4439, loss: 2.4439 +2025-05-14 15:39:06,341 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-05-14 15:40:17,421 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 15:40:17,488 - pyskl - INFO - +top1_acc 0.8652 +top5_acc 0.9777 +2025-05-14 15:40:17,491 - pyskl - INFO - Epoch(val) [78][1031] top1_acc: 0.8652, top5_acc: 0.9777 +2025-05-14 15:41:25,761 - pyskl - INFO - Epoch [79][100/2506] lr: 1.170e-02, eta: 21:19:17, time: 0.683, data_time: 0.275, memory: 10841, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 2.2934, loss: 2.2934 +2025-05-14 15:42:06,902 - pyskl - INFO - Epoch [79][200/2506] lr: 1.169e-02, eta: 21:18:33, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9938, loss_cls: 2.1805, loss: 2.1805 +2025-05-14 15:42:47,678 - pyskl - INFO - Epoch [79][300/2506] lr: 1.168e-02, eta: 21:17:48, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 2.2265, loss: 2.2265 +2025-05-14 15:43:29,622 - pyskl - INFO - Epoch [79][400/2506] lr: 1.167e-02, eta: 21:17:05, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9181, top5_acc: 0.9894, loss_cls: 2.2656, loss: 2.2656 +2025-05-14 15:44:11,549 - pyskl - INFO - Epoch [79][500/2506] lr: 1.166e-02, eta: 21:16:22, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9056, top5_acc: 0.9850, loss_cls: 2.2369, loss: 2.2369 +2025-05-14 15:44:52,547 - pyskl - INFO - Epoch [79][600/2506] lr: 1.165e-02, eta: 21:15:38, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9931, loss_cls: 2.3524, loss: 2.3524 +2025-05-14 15:45:34,928 - pyskl - INFO - Epoch [79][700/2506] lr: 1.164e-02, eta: 21:14:55, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 2.2605, loss: 2.2605 +2025-05-14 15:46:16,574 - pyskl - INFO - Epoch [79][800/2506] lr: 1.163e-02, eta: 21:14:12, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 2.1540, loss: 2.1540 +2025-05-14 15:46:58,061 - pyskl - INFO - Epoch [79][900/2506] lr: 1.162e-02, eta: 21:13:28, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 2.2580, loss: 2.2580 +2025-05-14 15:47:39,927 - pyskl - INFO - Epoch [79][1000/2506] lr: 1.161e-02, eta: 21:12:45, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 2.2410, loss: 2.2410 +2025-05-14 15:48:22,098 - pyskl - INFO - Epoch [79][1100/2506] lr: 1.160e-02, eta: 21:12:02, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 2.2401, loss: 2.2401 +2025-05-14 15:49:04,047 - pyskl - INFO - Epoch [79][1200/2506] lr: 1.159e-02, eta: 21:11:19, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8900, top5_acc: 0.9919, loss_cls: 2.3793, loss: 2.3793 +2025-05-14 15:49:46,277 - pyskl - INFO - Epoch [79][1300/2506] lr: 1.158e-02, eta: 21:10:36, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 2.2512, loss: 2.2512 +2025-05-14 15:50:28,376 - pyskl - INFO - Epoch [79][1400/2506] lr: 1.157e-02, eta: 21:09:53, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 2.2715, loss: 2.2715 +2025-05-14 15:51:10,223 - pyskl - INFO - Epoch [79][1500/2506] lr: 1.156e-02, eta: 21:09:10, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9156, top5_acc: 0.9869, loss_cls: 2.2718, loss: 2.2718 +2025-05-14 15:51:52,253 - pyskl - INFO - Epoch [79][1600/2506] lr: 1.155e-02, eta: 21:08:27, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 2.3423, loss: 2.3423 +2025-05-14 15:52:34,009 - pyskl - INFO - Epoch [79][1700/2506] lr: 1.154e-02, eta: 21:07:44, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 2.3594, loss: 2.3594 +2025-05-14 15:53:15,793 - pyskl - INFO - Epoch [79][1800/2506] lr: 1.153e-02, eta: 21:07:01, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9875, loss_cls: 2.2427, loss: 2.2427 +2025-05-14 15:53:57,662 - pyskl - INFO - Epoch [79][1900/2506] lr: 1.152e-02, eta: 21:06:17, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 2.3458, loss: 2.3458 +2025-05-14 15:54:38,915 - pyskl - INFO - Epoch [79][2000/2506] lr: 1.151e-02, eta: 21:05:34, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 2.3496, loss: 2.3496 +2025-05-14 15:55:20,539 - pyskl - INFO - Epoch [79][2100/2506] lr: 1.150e-02, eta: 21:04:50, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 2.3300, loss: 2.3300 +2025-05-14 15:56:01,698 - pyskl - INFO - Epoch [79][2200/2506] lr: 1.149e-02, eta: 21:04:06, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 2.3823, loss: 2.3823 +2025-05-14 15:56:43,438 - pyskl - INFO - Epoch [79][2300/2506] lr: 1.148e-02, eta: 21:03:23, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 2.3178, loss: 2.3178 +2025-05-14 15:57:24,201 - pyskl - INFO - Epoch [79][2400/2506] lr: 1.147e-02, eta: 21:02:39, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9087, top5_acc: 0.9862, loss_cls: 2.2910, loss: 2.2910 +2025-05-14 15:58:05,773 - pyskl - INFO - Epoch [79][2500/2506] lr: 1.145e-02, eta: 21:01:56, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8856, top5_acc: 0.9956, loss_cls: 2.4161, loss: 2.4161 +2025-05-14 15:58:08,939 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-05-14 15:59:21,095 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 15:59:21,194 - pyskl - INFO - +top1_acc 0.8730 +top5_acc 0.9807 +2025-05-14 15:59:21,229 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_68.pth was removed +2025-05-14 15:59:22,907 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2025-05-14 15:59:22,908 - pyskl - INFO - Best top1_acc is 0.8730 at 79 epoch. +2025-05-14 15:59:22,911 - pyskl - INFO - Epoch(val) [79][1031] top1_acc: 0.8730, top5_acc: 0.9807 +2025-05-14 16:00:35,037 - pyskl - INFO - Epoch [80][100/2506] lr: 1.144e-02, eta: 21:01:35, time: 0.721, data_time: 0.292, memory: 10841, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 2.2754, loss: 2.2754 +2025-05-14 16:01:16,975 - pyskl - INFO - Epoch [80][200/2506] lr: 1.143e-02, eta: 21:00:52, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9175, top5_acc: 0.9962, loss_cls: 2.1913, loss: 2.1913 +2025-05-14 16:01:59,008 - pyskl - INFO - Epoch [80][300/2506] lr: 1.142e-02, eta: 21:00:09, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9956, loss_cls: 2.1941, loss: 2.1941 +2025-05-14 16:02:40,028 - pyskl - INFO - Epoch [80][400/2506] lr: 1.141e-02, eta: 20:59:25, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 2.2516, loss: 2.2516 +2025-05-14 16:03:22,117 - pyskl - INFO - Epoch [80][500/2506] lr: 1.140e-02, eta: 20:58:42, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 2.2534, loss: 2.2534 +2025-05-14 16:04:03,674 - pyskl - INFO - Epoch [80][600/2506] lr: 1.139e-02, eta: 20:57:58, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 2.2340, loss: 2.2340 +2025-05-14 16:04:45,878 - pyskl - INFO - Epoch [80][700/2506] lr: 1.138e-02, eta: 20:57:15, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 2.2956, loss: 2.2956 +2025-05-14 16:05:27,870 - pyskl - INFO - Epoch [80][800/2506] lr: 1.137e-02, eta: 20:56:32, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 2.1909, loss: 2.1909 +2025-05-14 16:06:09,776 - pyskl - INFO - Epoch [80][900/2506] lr: 1.136e-02, eta: 20:55:49, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 2.2658, loss: 2.2658 +2025-05-14 16:06:51,647 - pyskl - INFO - Epoch [80][1000/2506] lr: 1.135e-02, eta: 20:55:06, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9856, loss_cls: 2.3846, loss: 2.3846 +2025-05-14 16:07:33,704 - pyskl - INFO - Epoch [80][1100/2506] lr: 1.134e-02, eta: 20:54:23, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 2.3244, loss: 2.3244 +2025-05-14 16:08:15,226 - pyskl - INFO - Epoch [80][1200/2506] lr: 1.133e-02, eta: 20:53:39, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 2.2789, loss: 2.2789 +2025-05-14 16:08:56,536 - pyskl - INFO - Epoch [80][1300/2506] lr: 1.132e-02, eta: 20:52:56, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 2.3725, loss: 2.3725 +2025-05-14 16:09:38,413 - pyskl - INFO - Epoch [80][1400/2506] lr: 1.131e-02, eta: 20:52:13, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 2.2575, loss: 2.2575 +2025-05-14 16:10:20,448 - pyskl - INFO - Epoch [80][1500/2506] lr: 1.130e-02, eta: 20:51:29, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 2.2059, loss: 2.2059 +2025-05-14 16:11:02,245 - pyskl - INFO - Epoch [80][1600/2506] lr: 1.129e-02, eta: 20:50:46, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 2.2998, loss: 2.2998 +2025-05-14 16:11:43,806 - pyskl - INFO - Epoch [80][1700/2506] lr: 1.128e-02, eta: 20:50:03, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 2.2525, loss: 2.2525 +2025-05-14 16:12:25,480 - pyskl - INFO - Epoch [80][1800/2506] lr: 1.127e-02, eta: 20:49:19, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 2.2428, loss: 2.2428 +2025-05-14 16:13:06,262 - pyskl - INFO - Epoch [80][1900/2506] lr: 1.126e-02, eta: 20:48:35, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9962, loss_cls: 2.1960, loss: 2.1960 +2025-05-14 16:13:47,684 - pyskl - INFO - Epoch [80][2000/2506] lr: 1.125e-02, eta: 20:47:52, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.2492, loss: 2.2492 +2025-05-14 16:14:29,482 - pyskl - INFO - Epoch [80][2100/2506] lr: 1.124e-02, eta: 20:47:09, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 2.3936, loss: 2.3936 +2025-05-14 16:15:10,248 - pyskl - INFO - Epoch [80][2200/2506] lr: 1.123e-02, eta: 20:46:24, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 2.3646, loss: 2.3646 +2025-05-14 16:15:51,268 - pyskl - INFO - Epoch [80][2300/2506] lr: 1.121e-02, eta: 20:45:40, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9931, loss_cls: 2.3232, loss: 2.3232 +2025-05-14 16:16:32,115 - pyskl - INFO - Epoch [80][2400/2506] lr: 1.120e-02, eta: 20:44:56, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 2.2467, loss: 2.2467 +2025-05-14 16:17:13,824 - pyskl - INFO - Epoch [80][2500/2506] lr: 1.119e-02, eta: 20:44:13, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 2.3805, loss: 2.3805 +2025-05-14 16:17:17,216 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-05-14 16:18:29,877 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 16:18:29,942 - pyskl - INFO - +top1_acc 0.8655 +top5_acc 0.9820 +2025-05-14 16:18:29,945 - pyskl - INFO - Epoch(val) [80][1031] top1_acc: 0.8655, top5_acc: 0.9820 +2025-05-14 16:19:37,813 - pyskl - INFO - Epoch [81][100/2506] lr: 1.118e-02, eta: 20:43:48, time: 0.679, data_time: 0.276, memory: 10841, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 2.2766, loss: 2.2766 +2025-05-14 16:20:18,960 - pyskl - INFO - Epoch [81][200/2506] lr: 1.117e-02, eta: 20:43:04, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 2.1331, loss: 2.1331 +2025-05-14 16:21:00,290 - pyskl - INFO - Epoch [81][300/2506] lr: 1.116e-02, eta: 20:42:20, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 2.2333, loss: 2.2333 +2025-05-14 16:21:42,654 - pyskl - INFO - Epoch [81][400/2506] lr: 1.115e-02, eta: 20:41:38, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 2.2439, loss: 2.2439 +2025-05-14 16:22:23,707 - pyskl - INFO - Epoch [81][500/2506] lr: 1.114e-02, eta: 20:40:54, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 2.3109, loss: 2.3109 +2025-05-14 16:23:05,415 - pyskl - INFO - Epoch [81][600/2506] lr: 1.113e-02, eta: 20:40:11, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 2.3311, loss: 2.3311 +2025-05-14 16:23:47,384 - pyskl - INFO - Epoch [81][700/2506] lr: 1.112e-02, eta: 20:39:27, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 2.2166, loss: 2.2166 +2025-05-14 16:24:29,050 - pyskl - INFO - Epoch [81][800/2506] lr: 1.111e-02, eta: 20:38:44, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 2.2479, loss: 2.2479 +2025-05-14 16:25:10,188 - pyskl - INFO - Epoch [81][900/2506] lr: 1.110e-02, eta: 20:38:00, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9031, top5_acc: 0.9875, loss_cls: 2.3644, loss: 2.3644 +2025-05-14 16:25:52,417 - pyskl - INFO - Epoch [81][1000/2506] lr: 1.109e-02, eta: 20:37:17, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9875, loss_cls: 2.2984, loss: 2.2984 +2025-05-14 16:26:34,248 - pyskl - INFO - Epoch [81][1100/2506] lr: 1.108e-02, eta: 20:36:34, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9231, top5_acc: 0.9888, loss_cls: 2.2038, loss: 2.2038 +2025-05-14 16:27:16,300 - pyskl - INFO - Epoch [81][1200/2506] lr: 1.107e-02, eta: 20:35:51, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 2.2400, loss: 2.2400 +2025-05-14 16:27:58,087 - pyskl - INFO - Epoch [81][1300/2506] lr: 1.106e-02, eta: 20:35:08, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 2.3258, loss: 2.3258 +2025-05-14 16:28:40,087 - pyskl - INFO - Epoch [81][1400/2506] lr: 1.105e-02, eta: 20:34:25, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9087, top5_acc: 0.9931, loss_cls: 2.2176, loss: 2.2176 +2025-05-14 16:29:21,682 - pyskl - INFO - Epoch [81][1500/2506] lr: 1.104e-02, eta: 20:33:42, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9019, top5_acc: 0.9869, loss_cls: 2.3292, loss: 2.3292 +2025-05-14 16:30:03,369 - pyskl - INFO - Epoch [81][1600/2506] lr: 1.103e-02, eta: 20:32:58, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.8944, top5_acc: 0.9888, loss_cls: 2.3770, loss: 2.3770 +2025-05-14 16:30:44,784 - pyskl - INFO - Epoch [81][1700/2506] lr: 1.102e-02, eta: 20:32:15, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 2.2318, loss: 2.2318 +2025-05-14 16:31:26,268 - pyskl - INFO - Epoch [81][1800/2506] lr: 1.101e-02, eta: 20:31:31, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9931, loss_cls: 2.3416, loss: 2.3416 +2025-05-14 16:32:07,614 - pyskl - INFO - Epoch [81][1900/2506] lr: 1.100e-02, eta: 20:30:48, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9869, loss_cls: 2.2328, loss: 2.2328 +2025-05-14 16:32:49,001 - pyskl - INFO - Epoch [81][2000/2506] lr: 1.099e-02, eta: 20:30:04, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 2.2555, loss: 2.2555 +2025-05-14 16:33:30,745 - pyskl - INFO - Epoch [81][2100/2506] lr: 1.098e-02, eta: 20:29:21, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9906, loss_cls: 2.2828, loss: 2.2828 +2025-05-14 16:34:12,246 - pyskl - INFO - Epoch [81][2200/2506] lr: 1.097e-02, eta: 20:28:37, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 2.2934, loss: 2.2934 +2025-05-14 16:34:52,879 - pyskl - INFO - Epoch [81][2300/2506] lr: 1.095e-02, eta: 20:27:53, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.8969, top5_acc: 0.9862, loss_cls: 2.3146, loss: 2.3146 +2025-05-14 16:35:34,761 - pyskl - INFO - Epoch [81][2400/2506] lr: 1.094e-02, eta: 20:27:10, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 2.3094, loss: 2.3094 +2025-05-14 16:36:16,424 - pyskl - INFO - Epoch [81][2500/2506] lr: 1.093e-02, eta: 20:26:27, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 2.2595, loss: 2.2595 +2025-05-14 16:36:19,919 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-05-14 16:37:32,867 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 16:37:32,940 - pyskl - INFO - +top1_acc 0.8433 +top5_acc 0.9773 +2025-05-14 16:37:32,943 - pyskl - INFO - Epoch(val) [81][1031] top1_acc: 0.8433, top5_acc: 0.9773 +2025-05-14 16:38:40,989 - pyskl - INFO - Epoch [82][100/2506] lr: 1.092e-02, eta: 20:26:01, time: 0.680, data_time: 0.265, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.1909, loss: 2.1909 +2025-05-14 16:39:21,640 - pyskl - INFO - Epoch [82][200/2506] lr: 1.091e-02, eta: 20:25:17, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 2.0965, loss: 2.0965 +2025-05-14 16:40:02,583 - pyskl - INFO - Epoch [82][300/2506] lr: 1.090e-02, eta: 20:24:33, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9906, loss_cls: 2.2386, loss: 2.2386 +2025-05-14 16:40:44,801 - pyskl - INFO - Epoch [82][400/2506] lr: 1.089e-02, eta: 20:23:50, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9875, loss_cls: 2.2697, loss: 2.2697 +2025-05-14 16:41:26,829 - pyskl - INFO - Epoch [82][500/2506] lr: 1.088e-02, eta: 20:23:07, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9044, top5_acc: 0.9856, loss_cls: 2.2511, loss: 2.2511 +2025-05-14 16:42:08,901 - pyskl - INFO - Epoch [82][600/2506] lr: 1.087e-02, eta: 20:22:24, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 2.2706, loss: 2.2706 +2025-05-14 16:42:50,714 - pyskl - INFO - Epoch [82][700/2506] lr: 1.086e-02, eta: 20:21:41, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 2.2831, loss: 2.2831 +2025-05-14 16:43:32,595 - pyskl - INFO - Epoch [82][800/2506] lr: 1.085e-02, eta: 20:20:58, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 2.2337, loss: 2.2337 +2025-05-14 16:44:15,003 - pyskl - INFO - Epoch [82][900/2506] lr: 1.084e-02, eta: 20:20:15, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9025, top5_acc: 0.9881, loss_cls: 2.2631, loss: 2.2631 +2025-05-14 16:44:55,950 - pyskl - INFO - Epoch [82][1000/2506] lr: 1.083e-02, eta: 20:19:31, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 2.2457, loss: 2.2457 +2025-05-14 16:45:36,966 - pyskl - INFO - Epoch [82][1100/2506] lr: 1.082e-02, eta: 20:18:47, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.8988, top5_acc: 0.9919, loss_cls: 2.3172, loss: 2.3172 +2025-05-14 16:46:18,360 - pyskl - INFO - Epoch [82][1200/2506] lr: 1.081e-02, eta: 20:18:04, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 2.1709, loss: 2.1709 +2025-05-14 16:47:00,051 - pyskl - INFO - Epoch [82][1300/2506] lr: 1.080e-02, eta: 20:17:20, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9131, top5_acc: 0.9862, loss_cls: 2.2690, loss: 2.2690 +2025-05-14 16:47:40,136 - pyskl - INFO - Epoch [82][1400/2506] lr: 1.079e-02, eta: 20:16:36, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 2.2213, loss: 2.2213 +2025-05-14 16:48:20,676 - pyskl - INFO - Epoch [82][1500/2506] lr: 1.078e-02, eta: 20:15:52, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 2.2157, loss: 2.2157 +2025-05-14 16:49:02,205 - pyskl - INFO - Epoch [82][1600/2506] lr: 1.077e-02, eta: 20:15:08, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 2.2464, loss: 2.2464 +2025-05-14 16:49:44,165 - pyskl - INFO - Epoch [82][1700/2506] lr: 1.076e-02, eta: 20:14:25, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 2.2242, loss: 2.2242 +2025-05-14 16:50:25,851 - pyskl - INFO - Epoch [82][1800/2506] lr: 1.075e-02, eta: 20:13:42, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 2.2247, loss: 2.2247 +2025-05-14 16:51:07,766 - pyskl - INFO - Epoch [82][1900/2506] lr: 1.074e-02, eta: 20:12:59, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 2.2008, loss: 2.2008 +2025-05-14 16:51:49,685 - pyskl - INFO - Epoch [82][2000/2506] lr: 1.073e-02, eta: 20:12:16, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 2.1391, loss: 2.1391 +2025-05-14 16:52:31,552 - pyskl - INFO - Epoch [82][2100/2506] lr: 1.072e-02, eta: 20:11:32, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 2.2799, loss: 2.2799 +2025-05-14 16:53:13,258 - pyskl - INFO - Epoch [82][2200/2506] lr: 1.071e-02, eta: 20:10:49, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 2.2822, loss: 2.2822 +2025-05-14 16:53:54,141 - pyskl - INFO - Epoch [82][2300/2506] lr: 1.070e-02, eta: 20:10:05, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 2.3241, loss: 2.3241 +2025-05-14 16:54:36,173 - pyskl - INFO - Epoch [82][2400/2506] lr: 1.069e-02, eta: 20:09:22, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.8950, top5_acc: 0.9862, loss_cls: 2.3817, loss: 2.3817 +2025-05-14 16:55:18,163 - pyskl - INFO - Epoch [82][2500/2506] lr: 1.067e-02, eta: 20:08:39, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9956, loss_cls: 2.2397, loss: 2.2397 +2025-05-14 16:55:21,354 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-05-14 16:56:34,203 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 16:56:34,305 - pyskl - INFO - +top1_acc 0.8538 +top5_acc 0.9741 +2025-05-14 16:56:34,309 - pyskl - INFO - Epoch(val) [82][1031] top1_acc: 0.8538, top5_acc: 0.9741 +2025-05-14 16:57:42,728 - pyskl - INFO - Epoch [83][100/2506] lr: 1.066e-02, eta: 20:08:13, time: 0.684, data_time: 0.270, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 2.1389, loss: 2.1389 +2025-05-14 16:58:24,172 - pyskl - INFO - Epoch [83][200/2506] lr: 1.065e-02, eta: 20:07:30, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 2.1208, loss: 2.1208 +2025-05-14 16:59:05,509 - pyskl - INFO - Epoch [83][300/2506] lr: 1.064e-02, eta: 20:06:46, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 2.0808, loss: 2.0808 +2025-05-14 16:59:47,605 - pyskl - INFO - Epoch [83][400/2506] lr: 1.063e-02, eta: 20:06:03, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9938, loss_cls: 2.2358, loss: 2.2358 +2025-05-14 17:00:30,117 - pyskl - INFO - Epoch [83][500/2506] lr: 1.062e-02, eta: 20:05:21, time: 0.425, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 2.1283, loss: 2.1283 +2025-05-14 17:01:11,933 - pyskl - INFO - Epoch [83][600/2506] lr: 1.061e-02, eta: 20:04:38, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9169, top5_acc: 0.9900, loss_cls: 2.1912, loss: 2.1912 +2025-05-14 17:01:53,292 - pyskl - INFO - Epoch [83][700/2506] lr: 1.060e-02, eta: 20:03:54, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9056, top5_acc: 0.9856, loss_cls: 2.2447, loss: 2.2447 +2025-05-14 17:02:35,404 - pyskl - INFO - Epoch [83][800/2506] lr: 1.059e-02, eta: 20:03:11, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 2.2506, loss: 2.2506 +2025-05-14 17:03:16,889 - pyskl - INFO - Epoch [83][900/2506] lr: 1.058e-02, eta: 20:02:28, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9206, top5_acc: 0.9950, loss_cls: 2.2687, loss: 2.2687 +2025-05-14 17:03:59,340 - pyskl - INFO - Epoch [83][1000/2506] lr: 1.057e-02, eta: 20:01:45, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 2.2234, loss: 2.2234 +2025-05-14 17:04:41,325 - pyskl - INFO - Epoch [83][1100/2506] lr: 1.056e-02, eta: 20:01:02, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 2.2572, loss: 2.2572 +2025-05-14 17:05:23,208 - pyskl - INFO - Epoch [83][1200/2506] lr: 1.055e-02, eta: 20:00:19, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 2.1555, loss: 2.1555 +2025-05-14 17:06:04,690 - pyskl - INFO - Epoch [83][1300/2506] lr: 1.054e-02, eta: 19:59:35, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 2.1618, loss: 2.1618 +2025-05-14 17:06:46,510 - pyskl - INFO - Epoch [83][1400/2506] lr: 1.053e-02, eta: 19:58:52, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9950, loss_cls: 2.2268, loss: 2.2268 +2025-05-14 17:07:28,104 - pyskl - INFO - Epoch [83][1500/2506] lr: 1.052e-02, eta: 19:58:09, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 2.2825, loss: 2.2825 +2025-05-14 17:08:09,734 - pyskl - INFO - Epoch [83][1600/2506] lr: 1.051e-02, eta: 19:57:26, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 2.2874, loss: 2.2874 +2025-05-14 17:08:51,208 - pyskl - INFO - Epoch [83][1700/2506] lr: 1.050e-02, eta: 19:56:42, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 2.1847, loss: 2.1847 +2025-05-14 17:09:32,508 - pyskl - INFO - Epoch [83][1800/2506] lr: 1.049e-02, eta: 19:55:59, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 2.2247, loss: 2.2247 +2025-05-14 17:10:14,276 - pyskl - INFO - Epoch [83][1900/2506] lr: 1.048e-02, eta: 19:55:15, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9075, top5_acc: 0.9881, loss_cls: 2.2755, loss: 2.2755 +2025-05-14 17:10:56,220 - pyskl - INFO - Epoch [83][2000/2506] lr: 1.047e-02, eta: 19:54:32, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 2.2015, loss: 2.2015 +2025-05-14 17:11:37,343 - pyskl - INFO - Epoch [83][2100/2506] lr: 1.046e-02, eta: 19:53:49, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 2.2256, loss: 2.2256 +2025-05-14 17:12:18,836 - pyskl - INFO - Epoch [83][2200/2506] lr: 1.045e-02, eta: 19:53:05, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 2.2565, loss: 2.2565 +2025-05-14 17:13:00,359 - pyskl - INFO - Epoch [83][2300/2506] lr: 1.044e-02, eta: 19:52:22, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 2.3023, loss: 2.3023 +2025-05-14 17:13:41,834 - pyskl - INFO - Epoch [83][2400/2506] lr: 1.043e-02, eta: 19:51:38, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 2.3067, loss: 2.3067 +2025-05-14 17:14:23,456 - pyskl - INFO - Epoch [83][2500/2506] lr: 1.042e-02, eta: 19:50:55, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 2.2478, loss: 2.2478 +2025-05-14 17:14:26,630 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-05-14 17:15:38,551 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 17:15:38,659 - pyskl - INFO - +top1_acc 0.8538 +top5_acc 0.9780 +2025-05-14 17:15:38,663 - pyskl - INFO - Epoch(val) [83][1031] top1_acc: 0.8538, top5_acc: 0.9780 +2025-05-14 17:16:46,117 - pyskl - INFO - Epoch [84][100/2506] lr: 1.041e-02, eta: 19:50:28, time: 0.674, data_time: 0.266, memory: 10841, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 2.2970, loss: 2.2970 +2025-05-14 17:17:27,838 - pyskl - INFO - Epoch [84][200/2506] lr: 1.039e-02, eta: 19:49:45, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 2.0856, loss: 2.0856 +2025-05-14 17:18:09,952 - pyskl - INFO - Epoch [84][300/2506] lr: 1.038e-02, eta: 19:49:02, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.2086, loss: 2.2086 +2025-05-14 17:18:51,987 - pyskl - INFO - Epoch [84][400/2506] lr: 1.037e-02, eta: 19:48:19, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9950, loss_cls: 2.1478, loss: 2.1478 +2025-05-14 17:19:33,395 - pyskl - INFO - Epoch [84][500/2506] lr: 1.036e-02, eta: 19:47:35, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 2.1954, loss: 2.1954 +2025-05-14 17:20:14,373 - pyskl - INFO - Epoch [84][600/2506] lr: 1.035e-02, eta: 19:46:51, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9938, loss_cls: 2.1705, loss: 2.1705 +2025-05-14 17:20:55,839 - pyskl - INFO - Epoch [84][700/2506] lr: 1.034e-02, eta: 19:46:08, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 2.1720, loss: 2.1720 +2025-05-14 17:21:38,152 - pyskl - INFO - Epoch [84][800/2506] lr: 1.033e-02, eta: 19:45:25, time: 0.423, data_time: 0.000, memory: 10841, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 2.0732, loss: 2.0732 +2025-05-14 17:22:20,039 - pyskl - INFO - Epoch [84][900/2506] lr: 1.032e-02, eta: 19:44:42, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 2.2567, loss: 2.2567 +2025-05-14 17:23:02,228 - pyskl - INFO - Epoch [84][1000/2506] lr: 1.031e-02, eta: 19:43:59, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 2.2952, loss: 2.2952 +2025-05-14 17:23:43,957 - pyskl - INFO - Epoch [84][1100/2506] lr: 1.030e-02, eta: 19:43:16, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9213, top5_acc: 0.9881, loss_cls: 2.2057, loss: 2.2057 +2025-05-14 17:24:24,845 - pyskl - INFO - Epoch [84][1200/2506] lr: 1.029e-02, eta: 19:42:32, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 2.1582, loss: 2.1582 +2025-05-14 17:25:06,128 - pyskl - INFO - Epoch [84][1300/2506] lr: 1.028e-02, eta: 19:41:48, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 2.2109, loss: 2.2109 +2025-05-14 17:25:48,200 - pyskl - INFO - Epoch [84][1400/2506] lr: 1.027e-02, eta: 19:41:06, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9181, top5_acc: 0.9894, loss_cls: 2.1839, loss: 2.1839 +2025-05-14 17:26:29,894 - pyskl - INFO - Epoch [84][1500/2506] lr: 1.026e-02, eta: 19:40:22, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9875, loss_cls: 2.2677, loss: 2.2677 +2025-05-14 17:27:11,633 - pyskl - INFO - Epoch [84][1600/2506] lr: 1.025e-02, eta: 19:39:39, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9894, loss_cls: 2.1893, loss: 2.1893 +2025-05-14 17:27:53,515 - pyskl - INFO - Epoch [84][1700/2506] lr: 1.024e-02, eta: 19:38:56, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 2.1080, loss: 2.1080 +2025-05-14 17:28:35,160 - pyskl - INFO - Epoch [84][1800/2506] lr: 1.023e-02, eta: 19:38:13, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9931, loss_cls: 2.1449, loss: 2.1449 +2025-05-14 17:29:17,013 - pyskl - INFO - Epoch [84][1900/2506] lr: 1.022e-02, eta: 19:37:30, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 2.2571, loss: 2.2571 +2025-05-14 17:29:59,123 - pyskl - INFO - Epoch [84][2000/2506] lr: 1.021e-02, eta: 19:36:47, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 2.2079, loss: 2.2079 +2025-05-14 17:30:41,249 - pyskl - INFO - Epoch [84][2100/2506] lr: 1.020e-02, eta: 19:36:04, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 2.2353, loss: 2.2353 +2025-05-14 17:31:23,092 - pyskl - INFO - Epoch [84][2200/2506] lr: 1.019e-02, eta: 19:35:21, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 2.2047, loss: 2.2047 +2025-05-14 17:32:05,080 - pyskl - INFO - Epoch [84][2300/2506] lr: 1.018e-02, eta: 19:34:38, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 2.1940, loss: 2.1940 +2025-05-14 17:32:46,595 - pyskl - INFO - Epoch [84][2400/2506] lr: 1.017e-02, eta: 19:33:54, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 2.2476, loss: 2.2476 +2025-05-14 17:33:27,797 - pyskl - INFO - Epoch [84][2500/2506] lr: 1.016e-02, eta: 19:33:11, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 2.2361, loss: 2.2361 +2025-05-14 17:33:30,912 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-05-14 17:34:43,521 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 17:34:43,619 - pyskl - INFO - +top1_acc 0.8394 +top5_acc 0.9774 +2025-05-14 17:34:43,623 - pyskl - INFO - Epoch(val) [84][1031] top1_acc: 0.8394, top5_acc: 0.9774 +2025-05-14 17:35:51,124 - pyskl - INFO - Epoch [85][100/2506] lr: 1.015e-02, eta: 19:32:43, time: 0.675, data_time: 0.261, memory: 10841, top1_acc: 0.9263, top5_acc: 0.9950, loss_cls: 2.0865, loss: 2.0865 +2025-05-14 17:36:33,214 - pyskl - INFO - Epoch [85][200/2506] lr: 1.014e-02, eta: 19:32:00, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 2.1398, loss: 2.1398 +2025-05-14 17:37:15,253 - pyskl - INFO - Epoch [85][300/2506] lr: 1.013e-02, eta: 19:31:17, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 2.0988, loss: 2.0988 +2025-05-14 17:37:57,407 - pyskl - INFO - Epoch [85][400/2506] lr: 1.012e-02, eta: 19:30:34, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 2.2161, loss: 2.2161 +2025-05-14 17:38:39,320 - pyskl - INFO - Epoch [85][500/2506] lr: 1.011e-02, eta: 19:29:51, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 2.2087, loss: 2.2087 +2025-05-14 17:39:20,534 - pyskl - INFO - Epoch [85][600/2506] lr: 1.010e-02, eta: 19:29:08, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9912, loss_cls: 2.2043, loss: 2.2043 +2025-05-14 17:40:02,668 - pyskl - INFO - Epoch [85][700/2506] lr: 1.009e-02, eta: 19:28:25, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9213, top5_acc: 0.9906, loss_cls: 2.1480, loss: 2.1480 +2025-05-14 17:40:44,920 - pyskl - INFO - Epoch [85][800/2506] lr: 1.008e-02, eta: 19:27:42, time: 0.423, data_time: 0.000, memory: 10841, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 2.2435, loss: 2.2435 +2025-05-14 17:41:27,078 - pyskl - INFO - Epoch [85][900/2506] lr: 1.007e-02, eta: 19:26:59, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9131, top5_acc: 0.9881, loss_cls: 2.2619, loss: 2.2619 +2025-05-14 17:42:08,165 - pyskl - INFO - Epoch [85][1000/2506] lr: 1.006e-02, eta: 19:26:15, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 2.1325, loss: 2.1325 +2025-05-14 17:42:49,632 - pyskl - INFO - Epoch [85][1100/2506] lr: 1.005e-02, eta: 19:25:32, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 2.2033, loss: 2.2033 +2025-05-14 17:43:31,371 - pyskl - INFO - Epoch [85][1200/2506] lr: 1.003e-02, eta: 19:24:49, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 2.2674, loss: 2.2674 +2025-05-14 17:44:13,361 - pyskl - INFO - Epoch [85][1300/2506] lr: 1.002e-02, eta: 19:24:06, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 2.2555, loss: 2.2555 +2025-05-14 17:44:55,171 - pyskl - INFO - Epoch [85][1400/2506] lr: 1.001e-02, eta: 19:23:22, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 2.0967, loss: 2.0967 +2025-05-14 17:45:37,553 - pyskl - INFO - Epoch [85][1500/2506] lr: 1.000e-02, eta: 19:22:40, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9081, top5_acc: 0.9850, loss_cls: 2.2197, loss: 2.2197 +2025-05-14 17:46:18,788 - pyskl - INFO - Epoch [85][1600/2506] lr: 9.994e-03, eta: 19:21:56, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 2.2980, loss: 2.2980 +2025-05-14 17:47:00,231 - pyskl - INFO - Epoch [85][1700/2506] lr: 9.984e-03, eta: 19:21:13, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 2.1915, loss: 2.1915 +2025-05-14 17:47:40,945 - pyskl - INFO - Epoch [85][1800/2506] lr: 9.973e-03, eta: 19:20:29, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 2.1774, loss: 2.1774 +2025-05-14 17:48:22,419 - pyskl - INFO - Epoch [85][1900/2506] lr: 9.963e-03, eta: 19:19:45, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 2.1031, loss: 2.1031 +2025-05-14 17:49:04,017 - pyskl - INFO - Epoch [85][2000/2506] lr: 9.953e-03, eta: 19:19:02, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9075, top5_acc: 0.9862, loss_cls: 2.1674, loss: 2.1674 +2025-05-14 17:49:45,089 - pyskl - INFO - Epoch [85][2100/2506] lr: 9.943e-03, eta: 19:18:18, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 2.1800, loss: 2.1800 +2025-05-14 17:50:26,877 - pyskl - INFO - Epoch [85][2200/2506] lr: 9.932e-03, eta: 19:17:35, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 2.0650, loss: 2.0650 +2025-05-14 17:51:08,542 - pyskl - INFO - Epoch [85][2300/2506] lr: 9.922e-03, eta: 19:16:52, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 2.2370, loss: 2.2370 +2025-05-14 17:51:50,377 - pyskl - INFO - Epoch [85][2400/2506] lr: 9.912e-03, eta: 19:16:09, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9131, top5_acc: 0.9919, loss_cls: 2.2074, loss: 2.2074 +2025-05-14 17:52:31,973 - pyskl - INFO - Epoch [85][2500/2506] lr: 9.902e-03, eta: 19:15:25, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9869, loss_cls: 2.2959, loss: 2.2959 +2025-05-14 17:52:35,212 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-05-14 17:53:46,774 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 17:53:46,850 - pyskl - INFO - +top1_acc 0.8689 +top5_acc 0.9816 +2025-05-14 17:53:46,853 - pyskl - INFO - Epoch(val) [85][1031] top1_acc: 0.8689, top5_acc: 0.9816 +2025-05-14 17:54:56,433 - pyskl - INFO - Epoch [86][100/2506] lr: 9.891e-03, eta: 19:14:59, time: 0.696, data_time: 0.271, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 2.0788, loss: 2.0788 +2025-05-14 17:55:38,625 - pyskl - INFO - Epoch [86][200/2506] lr: 9.881e-03, eta: 19:14:16, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9969, loss_cls: 2.0193, loss: 2.0193 +2025-05-14 17:56:20,590 - pyskl - INFO - Epoch [86][300/2506] lr: 9.871e-03, eta: 19:13:33, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 2.1517, loss: 2.1517 +2025-05-14 17:57:03,403 - pyskl - INFO - Epoch [86][400/2506] lr: 9.860e-03, eta: 19:12:51, time: 0.428, data_time: 0.000, memory: 10841, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 2.2607, loss: 2.2607 +2025-05-14 17:57:44,953 - pyskl - INFO - Epoch [86][500/2506] lr: 9.850e-03, eta: 19:12:07, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 2.2123, loss: 2.2123 +2025-05-14 17:58:26,181 - pyskl - INFO - Epoch [86][600/2506] lr: 9.840e-03, eta: 19:11:24, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 2.1645, loss: 2.1645 +2025-05-14 17:59:07,356 - pyskl - INFO - Epoch [86][700/2506] lr: 9.830e-03, eta: 19:10:40, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 2.1305, loss: 2.1305 +2025-05-14 17:59:49,267 - pyskl - INFO - Epoch [86][800/2506] lr: 9.820e-03, eta: 19:09:57, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9938, loss_cls: 2.1913, loss: 2.1913 +2025-05-14 18:00:31,293 - pyskl - INFO - Epoch [86][900/2506] lr: 9.809e-03, eta: 19:09:14, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 2.1225, loss: 2.1225 +2025-05-14 18:01:12,798 - pyskl - INFO - Epoch [86][1000/2506] lr: 9.799e-03, eta: 19:08:31, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 2.2420, loss: 2.2420 +2025-05-14 18:01:54,829 - pyskl - INFO - Epoch [86][1100/2506] lr: 9.789e-03, eta: 19:07:48, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 2.1629, loss: 2.1629 +2025-05-14 18:02:36,440 - pyskl - INFO - Epoch [86][1200/2506] lr: 9.779e-03, eta: 19:07:05, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 2.1337, loss: 2.1337 +2025-05-14 18:03:18,364 - pyskl - INFO - Epoch [86][1300/2506] lr: 9.769e-03, eta: 19:06:22, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9219, top5_acc: 0.9906, loss_cls: 2.1806, loss: 2.1806 +2025-05-14 18:04:00,908 - pyskl - INFO - Epoch [86][1400/2506] lr: 9.758e-03, eta: 19:05:39, time: 0.425, data_time: 0.000, memory: 10841, top1_acc: 0.9187, top5_acc: 0.9969, loss_cls: 2.1226, loss: 2.1226 +2025-05-14 18:04:42,956 - pyskl - INFO - Epoch [86][1500/2506] lr: 9.748e-03, eta: 19:04:56, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9919, loss_cls: 2.0933, loss: 2.0933 +2025-05-14 18:05:24,807 - pyskl - INFO - Epoch [86][1600/2506] lr: 9.738e-03, eta: 19:04:13, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 2.2267, loss: 2.2267 +2025-05-14 18:06:06,969 - pyskl - INFO - Epoch [86][1700/2506] lr: 9.728e-03, eta: 19:03:30, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 2.1554, loss: 2.1554 +2025-05-14 18:06:48,919 - pyskl - INFO - Epoch [86][1800/2506] lr: 9.718e-03, eta: 19:02:47, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 2.2144, loss: 2.2144 +2025-05-14 18:07:30,929 - pyskl - INFO - Epoch [86][1900/2506] lr: 9.707e-03, eta: 19:02:04, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 2.2037, loss: 2.2037 +2025-05-14 18:08:12,895 - pyskl - INFO - Epoch [86][2000/2506] lr: 9.697e-03, eta: 19:01:21, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 2.1742, loss: 2.1742 +2025-05-14 18:08:55,415 - pyskl - INFO - Epoch [86][2100/2506] lr: 9.687e-03, eta: 19:00:38, time: 0.425, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 2.1672, loss: 2.1672 +2025-05-14 18:09:37,026 - pyskl - INFO - Epoch [86][2200/2506] lr: 9.677e-03, eta: 18:59:55, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 2.1465, loss: 2.1465 +2025-05-14 18:10:18,813 - pyskl - INFO - Epoch [86][2300/2506] lr: 9.667e-03, eta: 18:59:12, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 2.1718, loss: 2.1718 +2025-05-14 18:11:01,045 - pyskl - INFO - Epoch [86][2400/2506] lr: 9.656e-03, eta: 18:58:29, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 2.1548, loss: 2.1548 +2025-05-14 18:11:43,715 - pyskl - INFO - Epoch [86][2500/2506] lr: 9.646e-03, eta: 18:57:47, time: 0.427, data_time: 0.000, memory: 10841, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 2.1927, loss: 2.1927 +2025-05-14 18:11:46,972 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-05-14 18:13:00,399 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 18:13:00,474 - pyskl - INFO - +top1_acc 0.8740 +top5_acc 0.9820 +2025-05-14 18:13:00,538 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_79.pth was removed +2025-05-14 18:13:01,910 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. +2025-05-14 18:13:01,911 - pyskl - INFO - Best top1_acc is 0.8740 at 86 epoch. +2025-05-14 18:13:01,914 - pyskl - INFO - Epoch(val) [86][1031] top1_acc: 0.8740, top5_acc: 0.9820 +2025-05-14 18:14:09,772 - pyskl - INFO - Epoch [87][100/2506] lr: 9.636e-03, eta: 18:57:18, time: 0.679, data_time: 0.270, memory: 10841, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 2.1424, loss: 2.1424 +2025-05-14 18:14:51,019 - pyskl - INFO - Epoch [87][200/2506] lr: 9.625e-03, eta: 18:56:35, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 2.0703, loss: 2.0703 +2025-05-14 18:15:32,908 - pyskl - INFO - Epoch [87][300/2506] lr: 9.615e-03, eta: 18:55:52, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 2.2009, loss: 2.2009 +2025-05-14 18:16:14,515 - pyskl - INFO - Epoch [87][400/2506] lr: 9.605e-03, eta: 18:55:09, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 2.1383, loss: 2.1383 +2025-05-14 18:16:56,445 - pyskl - INFO - Epoch [87][500/2506] lr: 9.595e-03, eta: 18:54:25, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9881, loss_cls: 2.1779, loss: 2.1779 +2025-05-14 18:17:38,436 - pyskl - INFO - Epoch [87][600/2506] lr: 9.585e-03, eta: 18:53:42, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 2.0653, loss: 2.0653 +2025-05-14 18:18:20,448 - pyskl - INFO - Epoch [87][700/2506] lr: 9.575e-03, eta: 18:52:59, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 2.0793, loss: 2.0793 +2025-05-14 18:19:02,204 - pyskl - INFO - Epoch [87][800/2506] lr: 9.564e-03, eta: 18:52:16, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9406, top5_acc: 0.9925, loss_cls: 2.0817, loss: 2.0817 +2025-05-14 18:19:42,577 - pyskl - INFO - Epoch [87][900/2506] lr: 9.554e-03, eta: 18:51:32, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9906, loss_cls: 2.0486, loss: 2.0486 +2025-05-14 18:20:23,914 - pyskl - INFO - Epoch [87][1000/2506] lr: 9.544e-03, eta: 18:50:49, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 2.0583, loss: 2.0583 +2025-05-14 18:21:05,820 - pyskl - INFO - Epoch [87][1100/2506] lr: 9.534e-03, eta: 18:50:06, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.2092, loss: 2.2092 +2025-05-14 18:21:47,393 - pyskl - INFO - Epoch [87][1200/2506] lr: 9.524e-03, eta: 18:49:22, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 2.2220, loss: 2.2220 +2025-05-14 18:22:29,223 - pyskl - INFO - Epoch [87][1300/2506] lr: 9.514e-03, eta: 18:48:39, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 2.1660, loss: 2.1660 +2025-05-14 18:23:11,157 - pyskl - INFO - Epoch [87][1400/2506] lr: 9.504e-03, eta: 18:47:56, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 2.1255, loss: 2.1255 +2025-05-14 18:23:52,686 - pyskl - INFO - Epoch [87][1500/2506] lr: 9.493e-03, eta: 18:47:13, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 2.1278, loss: 2.1278 +2025-05-14 18:24:34,381 - pyskl - INFO - Epoch [87][1600/2506] lr: 9.483e-03, eta: 18:46:30, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 2.2526, loss: 2.2526 +2025-05-14 18:25:16,169 - pyskl - INFO - Epoch [87][1700/2506] lr: 9.473e-03, eta: 18:45:46, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 2.2406, loss: 2.2406 +2025-05-14 18:25:58,137 - pyskl - INFO - Epoch [87][1800/2506] lr: 9.463e-03, eta: 18:45:03, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 2.1903, loss: 2.1903 +2025-05-14 18:26:40,049 - pyskl - INFO - Epoch [87][1900/2506] lr: 9.453e-03, eta: 18:44:20, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 2.0997, loss: 2.0997 +2025-05-14 18:27:22,164 - pyskl - INFO - Epoch [87][2000/2506] lr: 9.443e-03, eta: 18:43:38, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 2.1521, loss: 2.1521 +2025-05-14 18:28:06,139 - pyskl - INFO - Epoch [87][2100/2506] lr: 9.433e-03, eta: 18:42:56, time: 0.440, data_time: 0.001, memory: 10841, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 2.1226, loss: 2.1226 +2025-05-14 18:28:49,275 - pyskl - INFO - Epoch [87][2200/2506] lr: 9.422e-03, eta: 18:42:14, time: 0.431, data_time: 0.001, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 2.0951, loss: 2.0951 +2025-05-14 18:29:31,038 - pyskl - INFO - Epoch [87][2300/2506] lr: 9.412e-03, eta: 18:41:31, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 2.1260, loss: 2.1260 +2025-05-14 18:30:12,556 - pyskl - INFO - Epoch [87][2400/2506] lr: 9.402e-03, eta: 18:40:47, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 2.1891, loss: 2.1891 +2025-05-14 18:30:54,341 - pyskl - INFO - Epoch [87][2500/2506] lr: 9.392e-03, eta: 18:40:04, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9113, top5_acc: 0.9888, loss_cls: 2.2103, loss: 2.2103 +2025-05-14 18:30:57,490 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-05-14 18:32:14,403 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 18:32:14,475 - pyskl - INFO - +top1_acc 0.8749 +top5_acc 0.9814 +2025-05-14 18:32:14,548 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_86.pth was removed +2025-05-14 18:32:15,890 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. +2025-05-14 18:32:15,890 - pyskl - INFO - Best top1_acc is 0.8749 at 87 epoch. +2025-05-14 18:32:15,893 - pyskl - INFO - Epoch(val) [87][1031] top1_acc: 0.8749, top5_acc: 0.9814 +2025-05-14 18:33:23,343 - pyskl - INFO - Epoch [88][100/2506] lr: 9.381e-03, eta: 18:39:35, time: 0.674, data_time: 0.258, memory: 10841, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 2.1104, loss: 2.1104 +2025-05-14 18:34:05,448 - pyskl - INFO - Epoch [88][200/2506] lr: 9.371e-03, eta: 18:38:52, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 2.0617, loss: 2.0617 +2025-05-14 18:34:47,577 - pyskl - INFO - Epoch [88][300/2506] lr: 9.361e-03, eta: 18:38:09, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 2.0919, loss: 2.0919 +2025-05-14 18:35:28,960 - pyskl - INFO - Epoch [88][400/2506] lr: 9.351e-03, eta: 18:37:26, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.2141, loss: 2.2141 +2025-05-14 18:36:10,834 - pyskl - INFO - Epoch [88][500/2506] lr: 9.341e-03, eta: 18:36:43, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 2.0908, loss: 2.0908 +2025-05-14 18:36:53,000 - pyskl - INFO - Epoch [88][600/2506] lr: 9.331e-03, eta: 18:36:00, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 2.0940, loss: 2.0940 +2025-05-14 18:37:34,490 - pyskl - INFO - Epoch [88][700/2506] lr: 9.321e-03, eta: 18:35:17, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 2.0388, loss: 2.0388 +2025-05-14 18:38:16,306 - pyskl - INFO - Epoch [88][800/2506] lr: 9.311e-03, eta: 18:34:34, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 2.0878, loss: 2.0878 +2025-05-14 18:38:57,877 - pyskl - INFO - Epoch [88][900/2506] lr: 9.300e-03, eta: 18:33:50, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 2.0958, loss: 2.0958 +2025-05-14 18:39:39,949 - pyskl - INFO - Epoch [88][1000/2506] lr: 9.290e-03, eta: 18:33:07, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 2.0932, loss: 2.0932 +2025-05-14 18:40:22,224 - pyskl - INFO - Epoch [88][1100/2506] lr: 9.280e-03, eta: 18:32:25, time: 0.423, data_time: 0.000, memory: 10841, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 2.1830, loss: 2.1830 +2025-05-14 18:41:04,832 - pyskl - INFO - Epoch [88][1200/2506] lr: 9.270e-03, eta: 18:31:42, time: 0.426, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 2.0727, loss: 2.0727 +2025-05-14 18:41:46,802 - pyskl - INFO - Epoch [88][1300/2506] lr: 9.260e-03, eta: 18:30:59, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 2.0436, loss: 2.0436 +2025-05-14 18:42:28,749 - pyskl - INFO - Epoch [88][1400/2506] lr: 9.250e-03, eta: 18:30:16, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.1008, loss: 2.1008 +2025-05-14 18:43:10,685 - pyskl - INFO - Epoch [88][1500/2506] lr: 9.240e-03, eta: 18:29:33, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9213, top5_acc: 0.9888, loss_cls: 2.1292, loss: 2.1292 +2025-05-14 18:43:52,504 - pyskl - INFO - Epoch [88][1600/2506] lr: 9.230e-03, eta: 18:28:50, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 2.1178, loss: 2.1178 +2025-05-14 18:44:34,528 - pyskl - INFO - Epoch [88][1700/2506] lr: 9.220e-03, eta: 18:28:07, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 2.1140, loss: 2.1140 +2025-05-14 18:45:16,377 - pyskl - INFO - Epoch [88][1800/2506] lr: 9.210e-03, eta: 18:27:24, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 2.1997, loss: 2.1997 +2025-05-14 18:45:58,325 - pyskl - INFO - Epoch [88][1900/2506] lr: 9.200e-03, eta: 18:26:41, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 2.1644, loss: 2.1644 +2025-05-14 18:46:40,135 - pyskl - INFO - Epoch [88][2000/2506] lr: 9.190e-03, eta: 18:25:58, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 2.2696, loss: 2.2696 +2025-05-14 18:47:22,040 - pyskl - INFO - Epoch [88][2100/2506] lr: 9.179e-03, eta: 18:25:15, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 2.1583, loss: 2.1583 +2025-05-14 18:48:03,913 - pyskl - INFO - Epoch [88][2200/2506] lr: 9.169e-03, eta: 18:24:32, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9900, loss_cls: 2.1309, loss: 2.1309 +2025-05-14 18:48:45,637 - pyskl - INFO - Epoch [88][2300/2506] lr: 9.159e-03, eta: 18:23:48, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 2.1318, loss: 2.1318 +2025-05-14 18:49:27,452 - pyskl - INFO - Epoch [88][2400/2506] lr: 9.149e-03, eta: 18:23:05, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9281, top5_acc: 0.9894, loss_cls: 2.0998, loss: 2.0998 +2025-05-14 18:50:09,308 - pyskl - INFO - Epoch [88][2500/2506] lr: 9.139e-03, eta: 18:22:22, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 2.0957, loss: 2.0957 +2025-05-14 18:50:12,760 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-05-14 18:51:25,502 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 18:51:25,619 - pyskl - INFO - +top1_acc 0.8600 +top5_acc 0.9807 +2025-05-14 18:51:25,623 - pyskl - INFO - Epoch(val) [88][1031] top1_acc: 0.8600, top5_acc: 0.9807 +2025-05-14 18:52:37,377 - pyskl - INFO - Epoch [89][100/2506] lr: 9.129e-03, eta: 18:21:56, time: 0.717, data_time: 0.291, memory: 10841, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 2.0613, loss: 2.0613 +2025-05-14 18:53:19,554 - pyskl - INFO - Epoch [89][200/2506] lr: 9.118e-03, eta: 18:21:13, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9306, top5_acc: 0.9900, loss_cls: 2.0625, loss: 2.0625 +2025-05-14 18:54:01,569 - pyskl - INFO - Epoch [89][300/2506] lr: 9.108e-03, eta: 18:20:30, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 2.0723, loss: 2.0723 +2025-05-14 18:54:43,904 - pyskl - INFO - Epoch [89][400/2506] lr: 9.098e-03, eta: 18:19:47, time: 0.423, data_time: 0.000, memory: 10841, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 2.0203, loss: 2.0203 +2025-05-14 18:55:26,105 - pyskl - INFO - Epoch [89][500/2506] lr: 9.088e-03, eta: 18:19:04, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9231, top5_acc: 0.9962, loss_cls: 2.1058, loss: 2.1058 +2025-05-14 18:56:08,260 - pyskl - INFO - Epoch [89][600/2506] lr: 9.078e-03, eta: 18:18:22, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 2.1056, loss: 2.1056 +2025-05-14 18:56:50,190 - pyskl - INFO - Epoch [89][700/2506] lr: 9.068e-03, eta: 18:17:38, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9306, top5_acc: 0.9906, loss_cls: 2.0268, loss: 2.0268 +2025-05-14 18:57:32,023 - pyskl - INFO - Epoch [89][800/2506] lr: 9.058e-03, eta: 18:16:55, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9931, loss_cls: 2.1340, loss: 2.1340 +2025-05-14 18:58:13,835 - pyskl - INFO - Epoch [89][900/2506] lr: 9.048e-03, eta: 18:16:12, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9187, top5_acc: 0.9881, loss_cls: 2.2154, loss: 2.2154 +2025-05-14 18:58:55,725 - pyskl - INFO - Epoch [89][1000/2506] lr: 9.038e-03, eta: 18:15:29, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 2.0792, loss: 2.0792 +2025-05-14 18:59:37,421 - pyskl - INFO - Epoch [89][1100/2506] lr: 9.028e-03, eta: 18:14:46, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9294, top5_acc: 0.9900, loss_cls: 2.1086, loss: 2.1086 +2025-05-14 19:00:19,653 - pyskl - INFO - Epoch [89][1200/2506] lr: 9.018e-03, eta: 18:14:03, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 2.0515, loss: 2.0515 +2025-05-14 19:01:01,716 - pyskl - INFO - Epoch [89][1300/2506] lr: 9.008e-03, eta: 18:13:20, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 1.9623, loss: 1.9623 +2025-05-14 19:01:43,652 - pyskl - INFO - Epoch [89][1400/2506] lr: 8.998e-03, eta: 18:12:37, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 2.1011, loss: 2.1011 +2025-05-14 19:02:25,153 - pyskl - INFO - Epoch [89][1500/2506] lr: 8.988e-03, eta: 18:11:54, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 2.1802, loss: 2.1802 +2025-05-14 19:03:07,356 - pyskl - INFO - Epoch [89][1600/2506] lr: 8.978e-03, eta: 18:11:11, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 2.0927, loss: 2.0927 +2025-05-14 19:03:49,440 - pyskl - INFO - Epoch [89][1700/2506] lr: 8.968e-03, eta: 18:10:28, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 2.1364, loss: 2.1364 +2025-05-14 19:04:31,857 - pyskl - INFO - Epoch [89][1800/2506] lr: 8.958e-03, eta: 18:09:45, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 2.1063, loss: 2.1063 +2025-05-14 19:05:15,333 - pyskl - INFO - Epoch [89][1900/2506] lr: 8.948e-03, eta: 18:09:03, time: 0.435, data_time: 0.000, memory: 10841, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 2.2609, loss: 2.2609 +2025-05-14 19:05:57,382 - pyskl - INFO - Epoch [89][2000/2506] lr: 8.938e-03, eta: 18:08:21, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 2.1490, loss: 2.1490 +2025-05-14 19:06:39,521 - pyskl - INFO - Epoch [89][2100/2506] lr: 8.928e-03, eta: 18:07:38, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 2.1613, loss: 2.1613 +2025-05-14 19:07:21,469 - pyskl - INFO - Epoch [89][2200/2506] lr: 8.918e-03, eta: 18:06:55, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.8981, top5_acc: 0.9931, loss_cls: 2.1932, loss: 2.1932 +2025-05-14 19:08:03,496 - pyskl - INFO - Epoch [89][2300/2506] lr: 8.908e-03, eta: 18:06:12, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9888, loss_cls: 2.1150, loss: 2.1150 +2025-05-14 19:08:45,194 - pyskl - INFO - Epoch [89][2400/2506] lr: 8.898e-03, eta: 18:05:29, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 2.0249, loss: 2.0249 +2025-05-14 19:09:26,504 - pyskl - INFO - Epoch [89][2500/2506] lr: 8.888e-03, eta: 18:04:45, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 2.1710, loss: 2.1710 +2025-05-14 19:09:29,739 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-05-14 19:10:41,309 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 19:10:41,377 - pyskl - INFO - +top1_acc 0.8645 +top5_acc 0.9808 +2025-05-14 19:10:41,379 - pyskl - INFO - Epoch(val) [89][1031] top1_acc: 0.8645, top5_acc: 0.9808 +2025-05-14 19:11:49,169 - pyskl - INFO - Epoch [90][100/2506] lr: 8.877e-03, eta: 18:04:15, time: 0.678, data_time: 0.259, memory: 10841, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 2.0359, loss: 2.0359 +2025-05-14 19:12:31,344 - pyskl - INFO - Epoch [90][200/2506] lr: 8.867e-03, eta: 18:03:33, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 2.1205, loss: 2.1205 +2025-05-14 19:13:13,406 - pyskl - INFO - Epoch [90][300/2506] lr: 8.857e-03, eta: 18:02:50, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 2.1101, loss: 2.1101 +2025-05-14 19:13:55,497 - pyskl - INFO - Epoch [90][400/2506] lr: 8.847e-03, eta: 18:02:07, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 2.0325, loss: 2.0325 +2025-05-14 19:14:37,441 - pyskl - INFO - Epoch [90][500/2506] lr: 8.837e-03, eta: 18:01:24, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9269, top5_acc: 0.9906, loss_cls: 2.0584, loss: 2.0584 +2025-05-14 19:15:18,807 - pyskl - INFO - Epoch [90][600/2506] lr: 8.827e-03, eta: 18:00:40, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 2.0384, loss: 2.0384 +2025-05-14 19:15:59,790 - pyskl - INFO - Epoch [90][700/2506] lr: 8.817e-03, eta: 17:59:57, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 2.0476, loss: 2.0476 +2025-05-14 19:16:41,875 - pyskl - INFO - Epoch [90][800/2506] lr: 8.807e-03, eta: 17:59:14, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 2.0632, loss: 2.0632 +2025-05-14 19:17:24,168 - pyskl - INFO - Epoch [90][900/2506] lr: 8.797e-03, eta: 17:58:31, time: 0.423, data_time: 0.000, memory: 10841, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 2.2674, loss: 2.2674 +2025-05-14 19:18:06,293 - pyskl - INFO - Epoch [90][1000/2506] lr: 8.787e-03, eta: 17:57:48, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 2.0804, loss: 2.0804 +2025-05-14 19:18:48,589 - pyskl - INFO - Epoch [90][1100/2506] lr: 8.777e-03, eta: 17:57:05, time: 0.423, data_time: 0.000, memory: 10841, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 2.0147, loss: 2.0147 +2025-05-14 19:19:30,542 - pyskl - INFO - Epoch [90][1200/2506] lr: 8.767e-03, eta: 17:56:22, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 1.9909, loss: 1.9909 +2025-05-14 19:20:12,728 - pyskl - INFO - Epoch [90][1300/2506] lr: 8.757e-03, eta: 17:55:39, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 2.1087, loss: 2.1087 +2025-05-14 19:20:54,763 - pyskl - INFO - Epoch [90][1400/2506] lr: 8.747e-03, eta: 17:54:56, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9900, loss_cls: 2.1217, loss: 2.1217 +2025-05-14 19:21:36,921 - pyskl - INFO - Epoch [90][1500/2506] lr: 8.737e-03, eta: 17:54:14, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 2.2031, loss: 2.2031 +2025-05-14 19:22:18,909 - pyskl - INFO - Epoch [90][1600/2506] lr: 8.728e-03, eta: 17:53:31, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9938, loss_cls: 2.0851, loss: 2.0851 +2025-05-14 19:23:00,227 - pyskl - INFO - Epoch [90][1700/2506] lr: 8.718e-03, eta: 17:52:47, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 2.1221, loss: 2.1221 +2025-05-14 19:23:41,867 - pyskl - INFO - Epoch [90][1800/2506] lr: 8.708e-03, eta: 17:52:04, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 1.9740, loss: 1.9740 +2025-05-14 19:24:23,485 - pyskl - INFO - Epoch [90][1900/2506] lr: 8.698e-03, eta: 17:51:21, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 2.1660, loss: 2.1660 +2025-05-14 19:25:05,212 - pyskl - INFO - Epoch [90][2000/2506] lr: 8.688e-03, eta: 17:50:38, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9200, top5_acc: 0.9956, loss_cls: 2.0340, loss: 2.0340 +2025-05-14 19:25:46,525 - pyskl - INFO - Epoch [90][2100/2506] lr: 8.678e-03, eta: 17:49:54, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 2.0305, loss: 2.0305 +2025-05-14 19:26:27,729 - pyskl - INFO - Epoch [90][2200/2506] lr: 8.668e-03, eta: 17:49:11, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 2.0144, loss: 2.0144 +2025-05-14 19:27:09,045 - pyskl - INFO - Epoch [90][2300/2506] lr: 8.658e-03, eta: 17:48:27, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 2.0960, loss: 2.0960 +2025-05-14 19:27:49,650 - pyskl - INFO - Epoch [90][2400/2506] lr: 8.648e-03, eta: 17:47:43, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 2.0708, loss: 2.0708 +2025-05-14 19:28:31,521 - pyskl - INFO - Epoch [90][2500/2506] lr: 8.638e-03, eta: 17:47:00, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 2.0092, loss: 2.0092 +2025-05-14 19:28:34,934 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-05-14 19:29:49,187 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 19:29:49,288 - pyskl - INFO - +top1_acc 0.8695 +top5_acc 0.9819 +2025-05-14 19:29:49,291 - pyskl - INFO - Epoch(val) [90][1031] top1_acc: 0.8695, top5_acc: 0.9819 +2025-05-14 19:30:58,606 - pyskl - INFO - Epoch [91][100/2506] lr: 8.627e-03, eta: 17:46:31, time: 0.693, data_time: 0.276, memory: 10841, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 2.0156, loss: 2.0156 +2025-05-14 19:31:40,344 - pyskl - INFO - Epoch [91][200/2506] lr: 8.618e-03, eta: 17:45:48, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 1.9432, loss: 1.9432 +2025-05-14 19:32:21,859 - pyskl - INFO - Epoch [91][300/2506] lr: 8.608e-03, eta: 17:45:05, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 2.1280, loss: 2.1280 +2025-05-14 19:33:03,099 - pyskl - INFO - Epoch [91][400/2506] lr: 8.598e-03, eta: 17:44:21, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 2.0445, loss: 2.0445 +2025-05-14 19:33:44,198 - pyskl - INFO - Epoch [91][500/2506] lr: 8.588e-03, eta: 17:43:38, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9313, top5_acc: 0.9912, loss_cls: 2.0389, loss: 2.0389 +2025-05-14 19:34:26,140 - pyskl - INFO - Epoch [91][600/2506] lr: 8.578e-03, eta: 17:42:55, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 2.0682, loss: 2.0682 +2025-05-14 19:35:08,020 - pyskl - INFO - Epoch [91][700/2506] lr: 8.568e-03, eta: 17:42:12, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9263, top5_acc: 0.9962, loss_cls: 2.0086, loss: 2.0086 +2025-05-14 19:35:49,560 - pyskl - INFO - Epoch [91][800/2506] lr: 8.558e-03, eta: 17:41:28, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 2.1082, loss: 2.1082 +2025-05-14 19:36:31,541 - pyskl - INFO - Epoch [91][900/2506] lr: 8.548e-03, eta: 17:40:45, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9356, top5_acc: 0.9912, loss_cls: 2.0113, loss: 2.0113 +2025-05-14 19:37:13,513 - pyskl - INFO - Epoch [91][1000/2506] lr: 8.538e-03, eta: 17:40:02, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 2.0513, loss: 2.0513 +2025-05-14 19:37:55,568 - pyskl - INFO - Epoch [91][1100/2506] lr: 8.528e-03, eta: 17:39:19, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 2.1209, loss: 2.1209 +2025-05-14 19:38:36,875 - pyskl - INFO - Epoch [91][1200/2506] lr: 8.518e-03, eta: 17:38:36, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 2.1069, loss: 2.1069 +2025-05-14 19:39:18,497 - pyskl - INFO - Epoch [91][1300/2506] lr: 8.508e-03, eta: 17:37:53, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 2.1996, loss: 2.1996 +2025-05-14 19:39:59,884 - pyskl - INFO - Epoch [91][1400/2506] lr: 8.499e-03, eta: 17:37:09, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 2.0394, loss: 2.0394 +2025-05-14 19:40:41,272 - pyskl - INFO - Epoch [91][1500/2506] lr: 8.489e-03, eta: 17:36:26, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9956, loss_cls: 2.0980, loss: 2.0980 +2025-05-14 19:41:22,600 - pyskl - INFO - Epoch [91][1600/2506] lr: 8.479e-03, eta: 17:35:43, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 2.1140, loss: 2.1140 +2025-05-14 19:42:03,344 - pyskl - INFO - Epoch [91][1700/2506] lr: 8.469e-03, eta: 17:34:59, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 2.1261, loss: 2.1261 +2025-05-14 19:42:44,507 - pyskl - INFO - Epoch [91][1800/2506] lr: 8.459e-03, eta: 17:34:15, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 2.1263, loss: 2.1263 +2025-05-14 19:43:26,072 - pyskl - INFO - Epoch [91][1900/2506] lr: 8.449e-03, eta: 17:33:32, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 2.1239, loss: 2.1239 +2025-05-14 19:44:07,801 - pyskl - INFO - Epoch [91][2000/2506] lr: 8.439e-03, eta: 17:32:49, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 2.0665, loss: 2.0665 +2025-05-14 19:44:49,594 - pyskl - INFO - Epoch [91][2100/2506] lr: 8.429e-03, eta: 17:32:06, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 2.1200, loss: 2.1200 +2025-05-14 19:45:31,111 - pyskl - INFO - Epoch [91][2200/2506] lr: 8.419e-03, eta: 17:31:23, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 2.1789, loss: 2.1789 +2025-05-14 19:46:12,750 - pyskl - INFO - Epoch [91][2300/2506] lr: 8.410e-03, eta: 17:30:40, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 2.0426, loss: 2.0426 +2025-05-14 19:46:54,275 - pyskl - INFO - Epoch [91][2400/2506] lr: 8.400e-03, eta: 17:29:56, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 2.0200, loss: 2.0200 +2025-05-14 19:47:35,900 - pyskl - INFO - Epoch [91][2500/2506] lr: 8.390e-03, eta: 17:29:13, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 2.1029, loss: 2.1029 +2025-05-14 19:47:39,078 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-05-14 19:48:52,296 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 19:48:52,390 - pyskl - INFO - +top1_acc 0.8797 +top5_acc 0.9822 +2025-05-14 19:48:52,464 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_87.pth was removed +2025-05-14 19:48:53,866 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. +2025-05-14 19:48:53,867 - pyskl - INFO - Best top1_acc is 0.8797 at 91 epoch. +2025-05-14 19:48:53,870 - pyskl - INFO - Epoch(val) [91][1031] top1_acc: 0.8797, top5_acc: 0.9822 +2025-05-14 19:50:01,661 - pyskl - INFO - Epoch [92][100/2506] lr: 8.379e-03, eta: 17:28:43, time: 0.678, data_time: 0.262, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9912, loss_cls: 2.0481, loss: 2.0481 +2025-05-14 19:50:43,400 - pyskl - INFO - Epoch [92][200/2506] lr: 8.370e-03, eta: 17:27:59, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 2.0559, loss: 2.0559 +2025-05-14 19:51:25,094 - pyskl - INFO - Epoch [92][300/2506] lr: 8.360e-03, eta: 17:27:16, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 2.1857, loss: 2.1857 +2025-05-14 19:52:06,828 - pyskl - INFO - Epoch [92][400/2506] lr: 8.350e-03, eta: 17:26:33, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 2.0444, loss: 2.0444 +2025-05-14 19:52:48,517 - pyskl - INFO - Epoch [92][500/2506] lr: 8.340e-03, eta: 17:25:50, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9919, loss_cls: 2.0410, loss: 2.0410 +2025-05-14 19:53:30,296 - pyskl - INFO - Epoch [92][600/2506] lr: 8.330e-03, eta: 17:25:07, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 1.9836, loss: 1.9836 +2025-05-14 19:54:10,486 - pyskl - INFO - Epoch [92][700/2506] lr: 8.320e-03, eta: 17:24:23, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 1.9752, loss: 1.9752 +2025-05-14 19:54:51,272 - pyskl - INFO - Epoch [92][800/2506] lr: 8.310e-03, eta: 17:23:39, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 2.0701, loss: 2.0701 +2025-05-14 19:55:32,314 - pyskl - INFO - Epoch [92][900/2506] lr: 8.301e-03, eta: 17:22:55, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9213, top5_acc: 0.9881, loss_cls: 2.1355, loss: 2.1355 +2025-05-14 19:56:12,160 - pyskl - INFO - Epoch [92][1000/2506] lr: 8.291e-03, eta: 17:22:11, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9269, top5_acc: 0.9906, loss_cls: 2.1358, loss: 2.1358 +2025-05-14 19:56:54,010 - pyskl - INFO - Epoch [92][1100/2506] lr: 8.281e-03, eta: 17:21:28, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 1.9258, loss: 1.9258 +2025-05-14 19:57:35,898 - pyskl - INFO - Epoch [92][1200/2506] lr: 8.271e-03, eta: 17:20:45, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9225, top5_acc: 0.9956, loss_cls: 2.0250, loss: 2.0250 +2025-05-14 19:58:16,608 - pyskl - INFO - Epoch [92][1300/2506] lr: 8.261e-03, eta: 17:20:01, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 2.0580, loss: 2.0580 +2025-05-14 19:58:58,230 - pyskl - INFO - Epoch [92][1400/2506] lr: 8.251e-03, eta: 17:19:18, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 1.9859, loss: 1.9859 +2025-05-14 19:59:38,872 - pyskl - INFO - Epoch [92][1500/2506] lr: 8.242e-03, eta: 17:18:34, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9269, top5_acc: 0.9981, loss_cls: 2.0764, loss: 2.0764 +2025-05-14 20:00:19,076 - pyskl - INFO - Epoch [92][1600/2506] lr: 8.232e-03, eta: 17:17:50, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 2.0284, loss: 2.0284 +2025-05-14 20:01:00,653 - pyskl - INFO - Epoch [92][1700/2506] lr: 8.222e-03, eta: 17:17:07, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 2.0821, loss: 2.0821 +2025-05-14 20:01:42,505 - pyskl - INFO - Epoch [92][1800/2506] lr: 8.212e-03, eta: 17:16:24, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 2.0223, loss: 2.0223 +2025-05-14 20:02:24,568 - pyskl - INFO - Epoch [92][1900/2506] lr: 8.202e-03, eta: 17:15:41, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 2.0527, loss: 2.0527 +2025-05-14 20:03:06,393 - pyskl - INFO - Epoch [92][2000/2506] lr: 8.193e-03, eta: 17:14:58, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 2.0431, loss: 2.0431 +2025-05-14 20:03:47,869 - pyskl - INFO - Epoch [92][2100/2506] lr: 8.183e-03, eta: 17:14:15, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 2.1008, loss: 2.1008 +2025-05-14 20:04:29,412 - pyskl - INFO - Epoch [92][2200/2506] lr: 8.173e-03, eta: 17:13:31, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9337, top5_acc: 0.9912, loss_cls: 2.0124, loss: 2.0124 +2025-05-14 20:05:10,612 - pyskl - INFO - Epoch [92][2300/2506] lr: 8.163e-03, eta: 17:12:48, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 2.0067, loss: 2.0067 +2025-05-14 20:05:51,670 - pyskl - INFO - Epoch [92][2400/2506] lr: 8.153e-03, eta: 17:12:04, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9944, loss_cls: 2.1013, loss: 2.1013 +2025-05-14 20:06:32,052 - pyskl - INFO - Epoch [92][2500/2506] lr: 8.144e-03, eta: 17:11:21, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 2.1505, loss: 2.1505 +2025-05-14 20:06:35,215 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-05-14 20:07:47,534 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 20:07:47,598 - pyskl - INFO - +top1_acc 0.8726 +top5_acc 0.9819 +2025-05-14 20:07:47,601 - pyskl - INFO - Epoch(val) [92][1031] top1_acc: 0.8726, top5_acc: 0.9819 +2025-05-14 20:08:52,995 - pyskl - INFO - Epoch [93][100/2506] lr: 8.133e-03, eta: 17:10:48, time: 0.654, data_time: 0.251, memory: 10841, top1_acc: 0.9337, top5_acc: 0.9969, loss_cls: 2.0584, loss: 2.0584 +2025-05-14 20:09:33,952 - pyskl - INFO - Epoch [93][200/2506] lr: 8.123e-03, eta: 17:10:05, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 1.8599, loss: 1.8599 +2025-05-14 20:10:15,269 - pyskl - INFO - Epoch [93][300/2506] lr: 8.114e-03, eta: 17:09:21, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 1.9426, loss: 1.9426 +2025-05-14 20:10:56,322 - pyskl - INFO - Epoch [93][400/2506] lr: 8.104e-03, eta: 17:08:38, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9175, top5_acc: 0.9950, loss_cls: 2.0829, loss: 2.0829 +2025-05-14 20:11:36,561 - pyskl - INFO - Epoch [93][500/2506] lr: 8.094e-03, eta: 17:07:54, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 1.9538, loss: 1.9538 +2025-05-14 20:12:18,085 - pyskl - INFO - Epoch [93][600/2506] lr: 8.084e-03, eta: 17:07:10, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 2.1046, loss: 2.1046 +2025-05-14 20:12:59,157 - pyskl - INFO - Epoch [93][700/2506] lr: 8.074e-03, eta: 17:06:27, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 2.0319, loss: 2.0319 +2025-05-14 20:13:39,489 - pyskl - INFO - Epoch [93][800/2506] lr: 8.065e-03, eta: 17:05:43, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 2.0609, loss: 2.0609 +2025-05-14 20:14:19,976 - pyskl - INFO - Epoch [93][900/2506] lr: 8.055e-03, eta: 17:04:59, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 2.0914, loss: 2.0914 +2025-05-14 20:15:00,874 - pyskl - INFO - Epoch [93][1000/2506] lr: 8.045e-03, eta: 17:04:15, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9300, top5_acc: 0.9962, loss_cls: 2.0220, loss: 2.0220 +2025-05-14 20:15:42,614 - pyskl - INFO - Epoch [93][1100/2506] lr: 8.035e-03, eta: 17:03:32, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9300, top5_acc: 0.9912, loss_cls: 2.0487, loss: 2.0487 +2025-05-14 20:16:23,990 - pyskl - INFO - Epoch [93][1200/2506] lr: 8.026e-03, eta: 17:02:49, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 2.0482, loss: 2.0482 +2025-05-14 20:17:04,749 - pyskl - INFO - Epoch [93][1300/2506] lr: 8.016e-03, eta: 17:02:05, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 2.0464, loss: 2.0464 +2025-05-14 20:17:46,577 - pyskl - INFO - Epoch [93][1400/2506] lr: 8.006e-03, eta: 17:01:22, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9375, top5_acc: 0.9906, loss_cls: 1.9737, loss: 1.9737 +2025-05-14 20:18:27,936 - pyskl - INFO - Epoch [93][1500/2506] lr: 7.996e-03, eta: 17:00:39, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 1.9561, loss: 1.9561 +2025-05-14 20:19:08,334 - pyskl - INFO - Epoch [93][1600/2506] lr: 7.987e-03, eta: 16:59:55, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 1.9794, loss: 1.9794 +2025-05-14 20:19:49,024 - pyskl - INFO - Epoch [93][1700/2506] lr: 7.977e-03, eta: 16:59:11, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9900, loss_cls: 2.0000, loss: 2.0000 +2025-05-14 20:20:29,788 - pyskl - INFO - Epoch [93][1800/2506] lr: 7.967e-03, eta: 16:58:28, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 2.1224, loss: 2.1224 +2025-05-14 20:21:10,326 - pyskl - INFO - Epoch [93][1900/2506] lr: 7.957e-03, eta: 16:57:44, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9094, top5_acc: 0.9881, loss_cls: 2.0827, loss: 2.0827 +2025-05-14 20:21:51,927 - pyskl - INFO - Epoch [93][2000/2506] lr: 7.948e-03, eta: 16:57:01, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 2.0362, loss: 2.0362 +2025-05-14 20:22:32,397 - pyskl - INFO - Epoch [93][2100/2506] lr: 7.938e-03, eta: 16:56:17, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 2.0285, loss: 2.0285 +2025-05-14 20:23:13,495 - pyskl - INFO - Epoch [93][2200/2506] lr: 7.928e-03, eta: 16:55:33, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 2.1475, loss: 2.1475 +2025-05-14 20:23:55,104 - pyskl - INFO - Epoch [93][2300/2506] lr: 7.919e-03, eta: 16:54:50, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 2.1223, loss: 2.1223 +2025-05-14 20:24:35,074 - pyskl - INFO - Epoch [93][2400/2506] lr: 7.909e-03, eta: 16:54:06, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9263, top5_acc: 0.9975, loss_cls: 2.0361, loss: 2.0361 +2025-05-14 20:25:16,180 - pyskl - INFO - Epoch [93][2500/2506] lr: 7.899e-03, eta: 16:53:22, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 2.1085, loss: 2.1085 +2025-05-14 20:25:19,631 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-05-14 20:26:30,560 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 20:26:30,637 - pyskl - INFO - +top1_acc 0.8735 +top5_acc 0.9817 +2025-05-14 20:26:30,640 - pyskl - INFO - Epoch(val) [93][1031] top1_acc: 0.8735, top5_acc: 0.9817 +2025-05-14 20:27:37,406 - pyskl - INFO - Epoch [94][100/2506] lr: 7.889e-03, eta: 16:52:51, time: 0.668, data_time: 0.248, memory: 10841, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 1.9597, loss: 1.9597 +2025-05-14 20:28:18,940 - pyskl - INFO - Epoch [94][200/2506] lr: 7.879e-03, eta: 16:52:07, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 1.9689, loss: 1.9689 +2025-05-14 20:29:00,636 - pyskl - INFO - Epoch [94][300/2506] lr: 7.869e-03, eta: 16:51:24, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 2.0037, loss: 2.0037 +2025-05-14 20:29:42,192 - pyskl - INFO - Epoch [94][400/2506] lr: 7.860e-03, eta: 16:50:41, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9356, top5_acc: 0.9919, loss_cls: 2.0014, loss: 2.0014 +2025-05-14 20:30:23,272 - pyskl - INFO - Epoch [94][500/2506] lr: 7.850e-03, eta: 16:49:58, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 1.9310, loss: 1.9310 +2025-05-14 20:31:05,084 - pyskl - INFO - Epoch [94][600/2506] lr: 7.840e-03, eta: 16:49:15, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9300, top5_acc: 0.9919, loss_cls: 2.0142, loss: 2.0142 +2025-05-14 20:31:45,529 - pyskl - INFO - Epoch [94][700/2506] lr: 7.831e-03, eta: 16:48:31, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 2.0150, loss: 2.0150 +2025-05-14 20:32:26,636 - pyskl - INFO - Epoch [94][800/2506] lr: 7.821e-03, eta: 16:47:47, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9375, top5_acc: 0.9912, loss_cls: 1.9408, loss: 1.9408 +2025-05-14 20:33:07,368 - pyskl - INFO - Epoch [94][900/2506] lr: 7.811e-03, eta: 16:47:04, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 1.9402, loss: 1.9402 +2025-05-14 20:33:48,920 - pyskl - INFO - Epoch [94][1000/2506] lr: 7.802e-03, eta: 16:46:20, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 2.0278, loss: 2.0278 +2025-05-14 20:34:30,169 - pyskl - INFO - Epoch [94][1100/2506] lr: 7.792e-03, eta: 16:45:37, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 2.0723, loss: 2.0723 +2025-05-14 20:35:12,368 - pyskl - INFO - Epoch [94][1200/2506] lr: 7.782e-03, eta: 16:44:54, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 1.9492, loss: 1.9492 +2025-05-14 20:35:54,067 - pyskl - INFO - Epoch [94][1300/2506] lr: 7.773e-03, eta: 16:44:11, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 1.9970, loss: 1.9970 +2025-05-14 20:36:35,244 - pyskl - INFO - Epoch [94][1400/2506] lr: 7.763e-03, eta: 16:43:28, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 2.0700, loss: 2.0700 +2025-05-14 20:37:15,224 - pyskl - INFO - Epoch [94][1500/2506] lr: 7.753e-03, eta: 16:42:44, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9306, top5_acc: 0.9950, loss_cls: 1.9880, loss: 1.9880 +2025-05-14 20:37:56,019 - pyskl - INFO - Epoch [94][1600/2506] lr: 7.744e-03, eta: 16:42:00, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 1.9997, loss: 1.9997 +2025-05-14 20:38:35,770 - pyskl - INFO - Epoch [94][1700/2506] lr: 7.734e-03, eta: 16:41:16, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 2.0214, loss: 2.0214 +2025-05-14 20:39:16,568 - pyskl - INFO - Epoch [94][1800/2506] lr: 7.724e-03, eta: 16:40:32, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 2.0668, loss: 2.0668 +2025-05-14 20:39:57,628 - pyskl - INFO - Epoch [94][1900/2506] lr: 7.715e-03, eta: 16:39:49, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 2.0093, loss: 2.0093 +2025-05-14 20:40:37,633 - pyskl - INFO - Epoch [94][2000/2506] lr: 7.705e-03, eta: 16:39:04, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 2.0649, loss: 2.0649 +2025-05-14 20:41:17,525 - pyskl - INFO - Epoch [94][2100/2506] lr: 7.695e-03, eta: 16:38:20, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 2.0459, loss: 2.0459 +2025-05-14 20:41:59,432 - pyskl - INFO - Epoch [94][2200/2506] lr: 7.686e-03, eta: 16:37:37, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9331, top5_acc: 0.9912, loss_cls: 2.0617, loss: 2.0617 +2025-05-14 20:42:40,673 - pyskl - INFO - Epoch [94][2300/2506] lr: 7.676e-03, eta: 16:36:54, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9969, loss_cls: 2.0289, loss: 2.0289 +2025-05-14 20:43:21,749 - pyskl - INFO - Epoch [94][2400/2506] lr: 7.666e-03, eta: 16:36:11, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 2.0413, loss: 2.0413 +2025-05-14 20:44:03,231 - pyskl - INFO - Epoch [94][2500/2506] lr: 7.657e-03, eta: 16:35:27, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 2.0791, loss: 2.0791 +2025-05-14 20:44:06,745 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-05-14 20:45:19,485 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 20:45:19,562 - pyskl - INFO - +top1_acc 0.8640 +top5_acc 0.9824 +2025-05-14 20:45:19,565 - pyskl - INFO - Epoch(val) [94][1031] top1_acc: 0.8640, top5_acc: 0.9824 +2025-05-14 20:46:26,505 - pyskl - INFO - Epoch [95][100/2506] lr: 7.647e-03, eta: 16:34:55, time: 0.669, data_time: 0.256, memory: 10841, top1_acc: 0.9437, top5_acc: 0.9919, loss_cls: 1.9099, loss: 1.9099 +2025-05-14 20:47:07,805 - pyskl - INFO - Epoch [95][200/2506] lr: 7.637e-03, eta: 16:34:12, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 1.9439, loss: 1.9439 +2025-05-14 20:47:49,704 - pyskl - INFO - Epoch [95][300/2506] lr: 7.627e-03, eta: 16:33:29, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 1.9776, loss: 1.9776 +2025-05-14 20:48:30,964 - pyskl - INFO - Epoch [95][400/2506] lr: 7.618e-03, eta: 16:32:46, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 1.9407, loss: 1.9407 +2025-05-14 20:49:12,633 - pyskl - INFO - Epoch [95][500/2506] lr: 7.608e-03, eta: 16:32:03, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 1.9296, loss: 1.9296 +2025-05-14 20:49:53,720 - pyskl - INFO - Epoch [95][600/2506] lr: 7.598e-03, eta: 16:31:19, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9263, top5_acc: 0.9912, loss_cls: 2.0485, loss: 2.0485 +2025-05-14 20:50:35,181 - pyskl - INFO - Epoch [95][700/2506] lr: 7.589e-03, eta: 16:30:36, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 1.8411, loss: 1.8411 +2025-05-14 20:51:16,788 - pyskl - INFO - Epoch [95][800/2506] lr: 7.579e-03, eta: 16:29:53, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 1.9202, loss: 1.9202 +2025-05-14 20:51:57,958 - pyskl - INFO - Epoch [95][900/2506] lr: 7.570e-03, eta: 16:29:09, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 1.9848, loss: 1.9848 +2025-05-14 20:52:37,672 - pyskl - INFO - Epoch [95][1000/2506] lr: 7.560e-03, eta: 16:28:25, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9925, loss_cls: 1.9874, loss: 1.9874 +2025-05-14 20:53:18,037 - pyskl - INFO - Epoch [95][1100/2506] lr: 7.550e-03, eta: 16:27:41, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9225, top5_acc: 0.9969, loss_cls: 2.1178, loss: 2.1178 +2025-05-14 20:53:57,766 - pyskl - INFO - Epoch [95][1200/2506] lr: 7.541e-03, eta: 16:26:57, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 2.0746, loss: 2.0746 +2025-05-14 20:54:39,500 - pyskl - INFO - Epoch [95][1300/2506] lr: 7.531e-03, eta: 16:26:14, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 1.9767, loss: 1.9767 +2025-05-14 20:55:20,876 - pyskl - INFO - Epoch [95][1400/2506] lr: 7.522e-03, eta: 16:25:31, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 1.9717, loss: 1.9717 +2025-05-14 20:56:01,070 - pyskl - INFO - Epoch [95][1500/2506] lr: 7.512e-03, eta: 16:24:47, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 2.0574, loss: 2.0574 +2025-05-14 20:56:41,164 - pyskl - INFO - Epoch [95][1600/2506] lr: 7.502e-03, eta: 16:24:03, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9894, loss_cls: 2.0622, loss: 2.0622 +2025-05-14 20:57:21,479 - pyskl - INFO - Epoch [95][1700/2506] lr: 7.493e-03, eta: 16:23:19, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 2.0175, loss: 2.0175 +2025-05-14 20:58:01,159 - pyskl - INFO - Epoch [95][1800/2506] lr: 7.483e-03, eta: 16:22:35, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 1.9949, loss: 1.9949 +2025-05-14 20:58:41,665 - pyskl - INFO - Epoch [95][1900/2506] lr: 7.474e-03, eta: 16:21:51, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 2.0537, loss: 2.0537 +2025-05-14 20:59:22,187 - pyskl - INFO - Epoch [95][2000/2506] lr: 7.464e-03, eta: 16:21:07, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9131, top5_acc: 0.9969, loss_cls: 2.0702, loss: 2.0702 +2025-05-14 21:00:02,212 - pyskl - INFO - Epoch [95][2100/2506] lr: 7.455e-03, eta: 16:20:23, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 2.0746, loss: 2.0746 +2025-05-14 21:00:42,235 - pyskl - INFO - Epoch [95][2200/2506] lr: 7.445e-03, eta: 16:19:39, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9919, loss_cls: 2.0356, loss: 2.0356 +2025-05-14 21:01:22,142 - pyskl - INFO - Epoch [95][2300/2506] lr: 7.436e-03, eta: 16:18:55, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 2.0108, loss: 2.0108 +2025-05-14 21:02:02,413 - pyskl - INFO - Epoch [95][2400/2506] lr: 7.426e-03, eta: 16:18:11, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 2.0394, loss: 2.0394 +2025-05-14 21:02:42,756 - pyskl - INFO - Epoch [95][2500/2506] lr: 7.416e-03, eta: 16:17:27, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 2.0407, loss: 2.0407 +2025-05-14 21:02:46,207 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-05-14 21:03:58,212 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 21:03:58,321 - pyskl - INFO - +top1_acc 0.8794 +top5_acc 0.9812 +2025-05-14 21:03:58,325 - pyskl - INFO - Epoch(val) [95][1031] top1_acc: 0.8794, top5_acc: 0.9812 +2025-05-14 21:05:09,197 - pyskl - INFO - Epoch [96][100/2506] lr: 7.406e-03, eta: 16:16:57, time: 0.709, data_time: 0.289, memory: 10841, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 1.8597, loss: 1.8597 +2025-05-14 21:05:50,977 - pyskl - INFO - Epoch [96][200/2506] lr: 7.397e-03, eta: 16:16:14, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 2.0218, loss: 2.0218 +2025-05-14 21:06:31,237 - pyskl - INFO - Epoch [96][300/2506] lr: 7.387e-03, eta: 16:15:30, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 1.8914, loss: 1.8914 +2025-05-14 21:07:11,485 - pyskl - INFO - Epoch [96][400/2506] lr: 7.378e-03, eta: 16:14:46, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 1.9755, loss: 1.9755 +2025-05-14 21:07:51,087 - pyskl - INFO - Epoch [96][500/2506] lr: 7.368e-03, eta: 16:14:02, time: 0.396, data_time: 0.000, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 1.9917, loss: 1.9917 +2025-05-14 21:08:32,412 - pyskl - INFO - Epoch [96][600/2506] lr: 7.359e-03, eta: 16:13:19, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 2.0537, loss: 2.0537 +2025-05-14 21:09:13,812 - pyskl - INFO - Epoch [96][700/2506] lr: 7.349e-03, eta: 16:12:36, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 1.9210, loss: 1.9210 +2025-05-14 21:09:55,061 - pyskl - INFO - Epoch [96][800/2506] lr: 7.340e-03, eta: 16:11:52, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 1.8849, loss: 1.8849 +2025-05-14 21:10:35,329 - pyskl - INFO - Epoch [96][900/2506] lr: 7.330e-03, eta: 16:11:08, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 1.9909, loss: 1.9909 +2025-05-14 21:11:16,972 - pyskl - INFO - Epoch [96][1000/2506] lr: 7.321e-03, eta: 16:10:25, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 2.0535, loss: 2.0535 +2025-05-14 21:11:57,369 - pyskl - INFO - Epoch [96][1100/2506] lr: 7.311e-03, eta: 16:09:42, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 1.9823, loss: 1.9823 +2025-05-14 21:12:38,654 - pyskl - INFO - Epoch [96][1200/2506] lr: 7.302e-03, eta: 16:08:58, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 1.8646, loss: 1.8646 +2025-05-14 21:13:20,873 - pyskl - INFO - Epoch [96][1300/2506] lr: 7.292e-03, eta: 16:08:16, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 1.9544, loss: 1.9544 +2025-05-14 21:14:02,516 - pyskl - INFO - Epoch [96][1400/2506] lr: 7.283e-03, eta: 16:07:32, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 1.9143, loss: 1.9143 +2025-05-14 21:14:44,023 - pyskl - INFO - Epoch [96][1500/2506] lr: 7.273e-03, eta: 16:06:49, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9144, top5_acc: 0.9881, loss_cls: 2.0648, loss: 2.0648 +2025-05-14 21:15:25,537 - pyskl - INFO - Epoch [96][1600/2506] lr: 7.264e-03, eta: 16:06:06, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 1.9634, loss: 1.9634 +2025-05-14 21:16:07,244 - pyskl - INFO - Epoch [96][1700/2506] lr: 7.254e-03, eta: 16:05:23, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 2.0118, loss: 2.0118 +2025-05-14 21:16:49,359 - pyskl - INFO - Epoch [96][1800/2506] lr: 7.245e-03, eta: 16:04:40, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 1.9903, loss: 1.9903 +2025-05-14 21:17:31,142 - pyskl - INFO - Epoch [96][1900/2506] lr: 7.235e-03, eta: 16:03:57, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9444, top5_acc: 0.9931, loss_cls: 1.9224, loss: 1.9224 +2025-05-14 21:18:12,642 - pyskl - INFO - Epoch [96][2000/2506] lr: 7.226e-03, eta: 16:03:14, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 1.9502, loss: 1.9502 +2025-05-14 21:18:54,151 - pyskl - INFO - Epoch [96][2100/2506] lr: 7.216e-03, eta: 16:02:31, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 2.0186, loss: 2.0186 +2025-05-14 21:19:36,095 - pyskl - INFO - Epoch [96][2200/2506] lr: 7.207e-03, eta: 16:01:48, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 2.0223, loss: 2.0223 +2025-05-14 21:20:18,038 - pyskl - INFO - Epoch [96][2300/2506] lr: 7.197e-03, eta: 16:01:05, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9487, top5_acc: 0.9938, loss_cls: 1.8750, loss: 1.8750 +2025-05-14 21:20:59,642 - pyskl - INFO - Epoch [96][2400/2506] lr: 7.188e-03, eta: 16:00:22, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9200, top5_acc: 0.9900, loss_cls: 2.0041, loss: 2.0041 +2025-05-14 21:21:40,592 - pyskl - INFO - Epoch [96][2500/2506] lr: 7.178e-03, eta: 15:59:39, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 2.0448, loss: 2.0448 +2025-05-14 21:21:44,065 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-05-14 21:22:57,529 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 21:22:57,636 - pyskl - INFO - +top1_acc 0.8788 +top5_acc 0.9819 +2025-05-14 21:22:57,640 - pyskl - INFO - Epoch(val) [96][1031] top1_acc: 0.8788, top5_acc: 0.9819 +2025-05-14 21:24:05,260 - pyskl - INFO - Epoch [97][100/2506] lr: 7.168e-03, eta: 15:59:06, time: 0.676, data_time: 0.258, memory: 10841, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 1.9068, loss: 1.9068 +2025-05-14 21:24:46,658 - pyskl - INFO - Epoch [97][200/2506] lr: 7.159e-03, eta: 15:58:23, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 2.0036, loss: 2.0036 +2025-05-14 21:25:28,119 - pyskl - INFO - Epoch [97][300/2506] lr: 7.150e-03, eta: 15:57:40, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 1.9074, loss: 1.9074 +2025-05-14 21:26:08,979 - pyskl - INFO - Epoch [97][400/2506] lr: 7.140e-03, eta: 15:56:56, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 1.8773, loss: 1.8773 +2025-05-14 21:26:50,220 - pyskl - INFO - Epoch [97][500/2506] lr: 7.131e-03, eta: 15:56:13, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9506, top5_acc: 0.9931, loss_cls: 1.8964, loss: 1.8964 +2025-05-14 21:27:30,868 - pyskl - INFO - Epoch [97][600/2506] lr: 7.121e-03, eta: 15:55:30, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 1.9678, loss: 1.9678 +2025-05-14 21:28:10,732 - pyskl - INFO - Epoch [97][700/2506] lr: 7.112e-03, eta: 15:54:45, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 1.9357, loss: 1.9357 +2025-05-14 21:28:51,685 - pyskl - INFO - Epoch [97][800/2506] lr: 7.102e-03, eta: 15:54:02, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 1.8709, loss: 1.8709 +2025-05-14 21:29:32,604 - pyskl - INFO - Epoch [97][900/2506] lr: 7.093e-03, eta: 15:53:19, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 1.8896, loss: 1.8896 +2025-05-14 21:30:13,900 - pyskl - INFO - Epoch [97][1000/2506] lr: 7.084e-03, eta: 15:52:35, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9387, top5_acc: 0.9906, loss_cls: 1.9194, loss: 1.9194 +2025-05-14 21:30:54,476 - pyskl - INFO - Epoch [97][1100/2506] lr: 7.074e-03, eta: 15:51:52, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 1.9285, loss: 1.9285 +2025-05-14 21:31:36,264 - pyskl - INFO - Epoch [97][1200/2506] lr: 7.065e-03, eta: 15:51:09, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9919, loss_cls: 1.9561, loss: 1.9561 +2025-05-14 21:32:18,079 - pyskl - INFO - Epoch [97][1300/2506] lr: 7.055e-03, eta: 15:50:26, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 1.9846, loss: 1.9846 +2025-05-14 21:33:00,155 - pyskl - INFO - Epoch [97][1400/2506] lr: 7.046e-03, eta: 15:49:43, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 1.9122, loss: 1.9122 +2025-05-14 21:33:41,493 - pyskl - INFO - Epoch [97][1500/2506] lr: 7.036e-03, eta: 15:49:00, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 1.9180, loss: 1.9180 +2025-05-14 21:34:22,957 - pyskl - INFO - Epoch [97][1600/2506] lr: 7.027e-03, eta: 15:48:17, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 1.9499, loss: 1.9499 +2025-05-14 21:35:04,725 - pyskl - INFO - Epoch [97][1700/2506] lr: 7.018e-03, eta: 15:47:34, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9888, loss_cls: 2.0129, loss: 2.0129 +2025-05-14 21:35:46,884 - pyskl - INFO - Epoch [97][1800/2506] lr: 7.008e-03, eta: 15:46:51, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 1.9855, loss: 1.9855 +2025-05-14 21:36:28,597 - pyskl - INFO - Epoch [97][1900/2506] lr: 6.999e-03, eta: 15:46:08, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 2.0464, loss: 2.0464 +2025-05-14 21:37:09,906 - pyskl - INFO - Epoch [97][2000/2506] lr: 6.990e-03, eta: 15:45:25, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 1.9610, loss: 1.9610 +2025-05-14 21:37:50,893 - pyskl - INFO - Epoch [97][2100/2506] lr: 6.980e-03, eta: 15:44:41, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 1.9732, loss: 1.9732 +2025-05-14 21:38:31,922 - pyskl - INFO - Epoch [97][2200/2506] lr: 6.971e-03, eta: 15:43:58, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9950, loss_cls: 1.9584, loss: 1.9584 +2025-05-14 21:39:12,259 - pyskl - INFO - Epoch [97][2300/2506] lr: 6.961e-03, eta: 15:43:14, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 1.9334, loss: 1.9334 +2025-05-14 21:39:52,021 - pyskl - INFO - Epoch [97][2400/2506] lr: 6.952e-03, eta: 15:42:30, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9250, top5_acc: 0.9969, loss_cls: 2.0266, loss: 2.0266 +2025-05-14 21:40:32,624 - pyskl - INFO - Epoch [97][2500/2506] lr: 6.943e-03, eta: 15:41:46, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 2.0139, loss: 2.0139 +2025-05-14 21:40:35,981 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-05-14 21:41:48,715 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 21:41:48,812 - pyskl - INFO - +top1_acc 0.8885 +top5_acc 0.9809 +2025-05-14 21:41:48,907 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_91.pth was removed +2025-05-14 21:41:50,810 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. +2025-05-14 21:41:50,811 - pyskl - INFO - Best top1_acc is 0.8885 at 97 epoch. +2025-05-14 21:41:50,814 - pyskl - INFO - Epoch(val) [97][1031] top1_acc: 0.8885, top5_acc: 0.9809 +2025-05-14 21:43:01,229 - pyskl - INFO - Epoch [98][100/2506] lr: 6.933e-03, eta: 15:41:15, time: 0.704, data_time: 0.287, memory: 10841, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 1.7900, loss: 1.7900 +2025-05-14 21:43:41,832 - pyskl - INFO - Epoch [98][200/2506] lr: 6.923e-03, eta: 15:40:31, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 1.8940, loss: 1.8940 +2025-05-14 21:44:23,475 - pyskl - INFO - Epoch [98][300/2506] lr: 6.914e-03, eta: 15:39:48, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 1.9152, loss: 1.9152 +2025-05-14 21:45:05,280 - pyskl - INFO - Epoch [98][400/2506] lr: 6.905e-03, eta: 15:39:05, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 1.7819, loss: 1.7819 +2025-05-14 21:45:46,498 - pyskl - INFO - Epoch [98][500/2506] lr: 6.895e-03, eta: 15:38:22, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 1.8904, loss: 1.8904 +2025-05-14 21:46:27,485 - pyskl - INFO - Epoch [98][600/2506] lr: 6.886e-03, eta: 15:37:39, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 1.8777, loss: 1.8777 +2025-05-14 21:47:08,868 - pyskl - INFO - Epoch [98][700/2506] lr: 6.877e-03, eta: 15:36:56, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 1.9600, loss: 1.9600 +2025-05-14 21:47:50,353 - pyskl - INFO - Epoch [98][800/2506] lr: 6.867e-03, eta: 15:36:12, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 1.9574, loss: 1.9574 +2025-05-14 21:48:31,668 - pyskl - INFO - Epoch [98][900/2506] lr: 6.858e-03, eta: 15:35:29, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 1.9909, loss: 1.9909 +2025-05-14 21:49:13,147 - pyskl - INFO - Epoch [98][1000/2506] lr: 6.849e-03, eta: 15:34:46, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 1.9488, loss: 1.9488 +2025-05-14 21:49:53,687 - pyskl - INFO - Epoch [98][1100/2506] lr: 6.839e-03, eta: 15:34:03, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9419, top5_acc: 0.9994, loss_cls: 1.8535, loss: 1.8535 +2025-05-14 21:50:33,960 - pyskl - INFO - Epoch [98][1200/2506] lr: 6.830e-03, eta: 15:33:19, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 1.8986, loss: 1.8986 +2025-05-14 21:51:15,259 - pyskl - INFO - Epoch [98][1300/2506] lr: 6.821e-03, eta: 15:32:36, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 1.8975, loss: 1.8975 +2025-05-14 21:51:57,076 - pyskl - INFO - Epoch [98][1400/2506] lr: 6.812e-03, eta: 15:31:53, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 1.9014, loss: 1.9014 +2025-05-14 21:52:38,033 - pyskl - INFO - Epoch [98][1500/2506] lr: 6.802e-03, eta: 15:31:09, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 1.9115, loss: 1.9115 +2025-05-14 21:53:20,054 - pyskl - INFO - Epoch [98][1600/2506] lr: 6.793e-03, eta: 15:30:26, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 1.9452, loss: 1.9452 +2025-05-14 21:54:01,733 - pyskl - INFO - Epoch [98][1700/2506] lr: 6.784e-03, eta: 15:29:43, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 1.9907, loss: 1.9907 +2025-05-14 21:54:42,956 - pyskl - INFO - Epoch [98][1800/2506] lr: 6.774e-03, eta: 15:29:00, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 2.0226, loss: 2.0226 +2025-05-14 21:55:24,717 - pyskl - INFO - Epoch [98][1900/2506] lr: 6.765e-03, eta: 15:28:17, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 1.8785, loss: 1.8785 +2025-05-14 21:56:05,760 - pyskl - INFO - Epoch [98][2000/2506] lr: 6.756e-03, eta: 15:27:34, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 1.9907, loss: 1.9907 +2025-05-14 21:56:46,862 - pyskl - INFO - Epoch [98][2100/2506] lr: 6.747e-03, eta: 15:26:50, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 1.9065, loss: 1.9065 +2025-05-14 21:57:28,492 - pyskl - INFO - Epoch [98][2200/2506] lr: 6.737e-03, eta: 15:26:07, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 1.9860, loss: 1.9860 +2025-05-14 21:58:09,939 - pyskl - INFO - Epoch [98][2300/2506] lr: 6.728e-03, eta: 15:25:24, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9187, top5_acc: 0.9906, loss_cls: 1.9931, loss: 1.9931 +2025-05-14 21:58:50,922 - pyskl - INFO - Epoch [98][2400/2506] lr: 6.719e-03, eta: 15:24:41, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 1.9380, loss: 1.9380 +2025-05-14 21:59:32,136 - pyskl - INFO - Epoch [98][2500/2506] lr: 6.709e-03, eta: 15:23:58, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9363, top5_acc: 0.9912, loss_cls: 1.9192, loss: 1.9192 +2025-05-14 21:59:35,444 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-05-14 22:00:48,403 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 22:00:48,499 - pyskl - INFO - +top1_acc 0.8838 +top5_acc 0.9817 +2025-05-14 22:00:48,502 - pyskl - INFO - Epoch(val) [98][1031] top1_acc: 0.8838, top5_acc: 0.9817 +2025-05-14 22:01:56,692 - pyskl - INFO - Epoch [99][100/2506] lr: 6.700e-03, eta: 15:23:25, time: 0.682, data_time: 0.264, memory: 10841, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 1.7938, loss: 1.7938 +2025-05-14 22:02:37,876 - pyskl - INFO - Epoch [99][200/2506] lr: 6.690e-03, eta: 15:22:42, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 1.7745, loss: 1.7745 +2025-05-14 22:03:19,632 - pyskl - INFO - Epoch [99][300/2506] lr: 6.681e-03, eta: 15:21:59, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 1.8299, loss: 1.8299 +2025-05-14 22:04:00,486 - pyskl - INFO - Epoch [99][400/2506] lr: 6.672e-03, eta: 15:21:15, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 1.8756, loss: 1.8756 +2025-05-14 22:04:40,602 - pyskl - INFO - Epoch [99][500/2506] lr: 6.663e-03, eta: 15:20:31, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 1.9563, loss: 1.9563 +2025-05-14 22:05:21,660 - pyskl - INFO - Epoch [99][600/2506] lr: 6.653e-03, eta: 15:19:48, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9331, top5_acc: 0.9919, loss_cls: 1.9036, loss: 1.9036 +2025-05-14 22:06:02,663 - pyskl - INFO - Epoch [99][700/2506] lr: 6.644e-03, eta: 15:19:05, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 1.8626, loss: 1.8626 +2025-05-14 22:06:43,037 - pyskl - INFO - Epoch [99][800/2506] lr: 6.635e-03, eta: 15:18:21, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 1.8038, loss: 1.8038 +2025-05-14 22:07:23,767 - pyskl - INFO - Epoch [99][900/2506] lr: 6.626e-03, eta: 15:17:37, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 1.8531, loss: 1.8531 +2025-05-14 22:08:04,040 - pyskl - INFO - Epoch [99][1000/2506] lr: 6.617e-03, eta: 15:16:54, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 1.8993, loss: 1.8993 +2025-05-14 22:08:44,308 - pyskl - INFO - Epoch [99][1100/2506] lr: 6.607e-03, eta: 15:16:10, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 1.9229, loss: 1.9229 +2025-05-14 22:09:25,359 - pyskl - INFO - Epoch [99][1200/2506] lr: 6.598e-03, eta: 15:15:27, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 1.9819, loss: 1.9819 +2025-05-14 22:10:06,148 - pyskl - INFO - Epoch [99][1300/2506] lr: 6.589e-03, eta: 15:14:43, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 1.9488, loss: 1.9488 +2025-05-14 22:10:48,081 - pyskl - INFO - Epoch [99][1400/2506] lr: 6.580e-03, eta: 15:14:00, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 1.8671, loss: 1.8671 +2025-05-14 22:11:29,672 - pyskl - INFO - Epoch [99][1500/2506] lr: 6.570e-03, eta: 15:13:17, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 1.9663, loss: 1.9663 +2025-05-14 22:12:11,429 - pyskl - INFO - Epoch [99][1600/2506] lr: 6.561e-03, eta: 15:12:34, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 1.9303, loss: 1.9303 +2025-05-14 22:12:52,772 - pyskl - INFO - Epoch [99][1700/2506] lr: 6.552e-03, eta: 15:11:51, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 1.8846, loss: 1.8846 +2025-05-14 22:13:34,035 - pyskl - INFO - Epoch [99][1800/2506] lr: 6.543e-03, eta: 15:11:08, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 1.9005, loss: 1.9005 +2025-05-14 22:14:15,564 - pyskl - INFO - Epoch [99][1900/2506] lr: 6.534e-03, eta: 15:10:25, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9356, top5_acc: 0.9906, loss_cls: 1.9543, loss: 1.9543 +2025-05-14 22:14:55,344 - pyskl - INFO - Epoch [99][2000/2506] lr: 6.525e-03, eta: 15:09:41, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9975, loss_cls: 1.9629, loss: 1.9629 +2025-05-14 22:15:35,336 - pyskl - INFO - Epoch [99][2100/2506] lr: 6.515e-03, eta: 15:08:57, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 1.9215, loss: 1.9215 +2025-05-14 22:16:16,614 - pyskl - INFO - Epoch [99][2200/2506] lr: 6.506e-03, eta: 15:08:14, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 1.9598, loss: 1.9598 +2025-05-14 22:16:57,222 - pyskl - INFO - Epoch [99][2300/2506] lr: 6.497e-03, eta: 15:07:30, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 1.9487, loss: 1.9487 +2025-05-14 22:17:38,121 - pyskl - INFO - Epoch [99][2400/2506] lr: 6.488e-03, eta: 15:06:47, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 1.9013, loss: 1.9013 +2025-05-14 22:18:19,279 - pyskl - INFO - Epoch [99][2500/2506] lr: 6.479e-03, eta: 15:06:04, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 1.9199, loss: 1.9199 +2025-05-14 22:18:22,569 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-05-14 22:19:34,271 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 22:19:34,336 - pyskl - INFO - +top1_acc 0.8765 +top5_acc 0.9795 +2025-05-14 22:19:34,339 - pyskl - INFO - Epoch(val) [99][1031] top1_acc: 0.8765, top5_acc: 0.9795 +2025-05-14 22:20:42,628 - pyskl - INFO - Epoch [100][100/2506] lr: 6.469e-03, eta: 15:05:31, time: 0.683, data_time: 0.275, memory: 10841, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 1.8498, loss: 1.8498 +2025-05-14 22:21:23,701 - pyskl - INFO - Epoch [100][200/2506] lr: 6.460e-03, eta: 15:04:47, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 1.8252, loss: 1.8252 +2025-05-14 22:22:04,145 - pyskl - INFO - Epoch [100][300/2506] lr: 6.451e-03, eta: 15:04:04, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 1.8626, loss: 1.8626 +2025-05-14 22:22:45,332 - pyskl - INFO - Epoch [100][400/2506] lr: 6.442e-03, eta: 15:03:20, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 1.8870, loss: 1.8870 +2025-05-14 22:23:26,122 - pyskl - INFO - Epoch [100][500/2506] lr: 6.432e-03, eta: 15:02:37, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 1.8183, loss: 1.8183 +2025-05-14 22:24:06,156 - pyskl - INFO - Epoch [100][600/2506] lr: 6.423e-03, eta: 15:01:53, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 1.8094, loss: 1.8094 +2025-05-14 22:24:47,936 - pyskl - INFO - Epoch [100][700/2506] lr: 6.414e-03, eta: 15:01:10, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 1.8502, loss: 1.8502 +2025-05-14 22:25:28,848 - pyskl - INFO - Epoch [100][800/2506] lr: 6.405e-03, eta: 15:00:27, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9912, loss_cls: 1.8952, loss: 1.8952 +2025-05-14 22:26:10,312 - pyskl - INFO - Epoch [100][900/2506] lr: 6.396e-03, eta: 14:59:44, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 1.8406, loss: 1.8406 +2025-05-14 22:26:50,285 - pyskl - INFO - Epoch [100][1000/2506] lr: 6.387e-03, eta: 14:59:00, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9400, top5_acc: 0.9925, loss_cls: 1.8457, loss: 1.8457 +2025-05-14 22:27:30,490 - pyskl - INFO - Epoch [100][1100/2506] lr: 6.378e-03, eta: 14:58:16, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 1.8333, loss: 1.8333 +2025-05-14 22:28:11,521 - pyskl - INFO - Epoch [100][1200/2506] lr: 6.369e-03, eta: 14:57:33, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 1.9288, loss: 1.9288 +2025-05-14 22:28:51,062 - pyskl - INFO - Epoch [100][1300/2506] lr: 6.360e-03, eta: 14:56:49, time: 0.395, data_time: 0.000, memory: 10841, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 1.9525, loss: 1.9525 +2025-05-14 22:29:31,328 - pyskl - INFO - Epoch [100][1400/2506] lr: 6.350e-03, eta: 14:56:05, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 1.9273, loss: 1.9273 +2025-05-14 22:30:12,371 - pyskl - INFO - Epoch [100][1500/2506] lr: 6.341e-03, eta: 14:55:22, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 1.8927, loss: 1.8927 +2025-05-14 22:30:53,108 - pyskl - INFO - Epoch [100][1600/2506] lr: 6.332e-03, eta: 14:54:38, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 1.9374, loss: 1.9374 +2025-05-14 22:31:33,980 - pyskl - INFO - Epoch [100][1700/2506] lr: 6.323e-03, eta: 14:53:55, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 1.8534, loss: 1.8534 +2025-05-14 22:32:15,028 - pyskl - INFO - Epoch [100][1800/2506] lr: 6.314e-03, eta: 14:53:12, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 1.9080, loss: 1.9080 +2025-05-14 22:32:55,884 - pyskl - INFO - Epoch [100][1900/2506] lr: 6.305e-03, eta: 14:52:28, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 1.7988, loss: 1.7988 +2025-05-14 22:33:37,415 - pyskl - INFO - Epoch [100][2000/2506] lr: 6.296e-03, eta: 14:51:45, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 1.8264, loss: 1.8264 +2025-05-14 22:34:19,159 - pyskl - INFO - Epoch [100][2100/2506] lr: 6.287e-03, eta: 14:51:02, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 1.9519, loss: 1.9519 +2025-05-14 22:35:01,032 - pyskl - INFO - Epoch [100][2200/2506] lr: 6.278e-03, eta: 14:50:20, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9375, top5_acc: 0.9919, loss_cls: 1.9514, loss: 1.9514 +2025-05-14 22:35:41,690 - pyskl - INFO - Epoch [100][2300/2506] lr: 6.269e-03, eta: 14:49:36, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 1.8849, loss: 1.8849 +2025-05-14 22:36:22,477 - pyskl - INFO - Epoch [100][2400/2506] lr: 6.260e-03, eta: 14:48:53, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 1.8335, loss: 1.8335 +2025-05-14 22:37:04,137 - pyskl - INFO - Epoch [100][2500/2506] lr: 6.251e-03, eta: 14:48:10, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 1.9495, loss: 1.9495 +2025-05-14 22:37:07,544 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-05-14 22:38:20,086 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 22:38:20,181 - pyskl - INFO - +top1_acc 0.8799 +top5_acc 0.9814 +2025-05-14 22:38:20,184 - pyskl - INFO - Epoch(val) [100][1031] top1_acc: 0.8799, top5_acc: 0.9814 +2025-05-14 22:39:26,832 - pyskl - INFO - Epoch [101][100/2506] lr: 6.241e-03, eta: 14:47:35, time: 0.666, data_time: 0.249, memory: 10841, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 1.8209, loss: 1.8209 +2025-05-14 22:40:08,116 - pyskl - INFO - Epoch [101][200/2506] lr: 6.232e-03, eta: 14:46:52, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9594, top5_acc: 0.9944, loss_cls: 1.7689, loss: 1.7689 +2025-05-14 22:40:48,796 - pyskl - INFO - Epoch [101][300/2506] lr: 6.223e-03, eta: 14:46:09, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 1.7808, loss: 1.7808 +2025-05-14 22:41:28,430 - pyskl - INFO - Epoch [101][400/2506] lr: 6.214e-03, eta: 14:45:25, time: 0.396, data_time: 0.000, memory: 10841, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 1.8257, loss: 1.8257 +2025-05-14 22:42:08,015 - pyskl - INFO - Epoch [101][500/2506] lr: 6.205e-03, eta: 14:44:41, time: 0.396, data_time: 0.000, memory: 10841, top1_acc: 0.9537, top5_acc: 0.9931, loss_cls: 1.8229, loss: 1.8229 +2025-05-14 22:42:48,832 - pyskl - INFO - Epoch [101][600/2506] lr: 6.196e-03, eta: 14:43:57, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 1.8827, loss: 1.8827 +2025-05-14 22:43:30,066 - pyskl - INFO - Epoch [101][700/2506] lr: 6.187e-03, eta: 14:43:14, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 1.8834, loss: 1.8834 +2025-05-14 22:44:09,928 - pyskl - INFO - Epoch [101][800/2506] lr: 6.178e-03, eta: 14:42:30, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 1.8414, loss: 1.8414 +2025-05-14 22:44:49,817 - pyskl - INFO - Epoch [101][900/2506] lr: 6.169e-03, eta: 14:41:47, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 1.8213, loss: 1.8213 +2025-05-14 22:45:29,694 - pyskl - INFO - Epoch [101][1000/2506] lr: 6.160e-03, eta: 14:41:03, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 1.8800, loss: 1.8800 +2025-05-14 22:46:10,821 - pyskl - INFO - Epoch [101][1100/2506] lr: 6.151e-03, eta: 14:40:20, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 1.8697, loss: 1.8697 +2025-05-14 22:46:52,108 - pyskl - INFO - Epoch [101][1200/2506] lr: 6.142e-03, eta: 14:39:36, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 1.9010, loss: 1.9010 +2025-05-14 22:47:32,400 - pyskl - INFO - Epoch [101][1300/2506] lr: 6.133e-03, eta: 14:38:53, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 1.8936, loss: 1.8936 +2025-05-14 22:48:13,876 - pyskl - INFO - Epoch [101][1400/2506] lr: 6.124e-03, eta: 14:38:10, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 1.8375, loss: 1.8375 +2025-05-14 22:48:55,175 - pyskl - INFO - Epoch [101][1500/2506] lr: 6.115e-03, eta: 14:37:27, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 1.9190, loss: 1.9190 +2025-05-14 22:49:37,093 - pyskl - INFO - Epoch [101][1600/2506] lr: 6.106e-03, eta: 14:36:44, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 1.9199, loss: 1.9199 +2025-05-14 22:50:18,998 - pyskl - INFO - Epoch [101][1700/2506] lr: 6.097e-03, eta: 14:36:01, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 1.8110, loss: 1.8110 +2025-05-14 22:51:00,048 - pyskl - INFO - Epoch [101][1800/2506] lr: 6.088e-03, eta: 14:35:18, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 1.9018, loss: 1.9018 +2025-05-14 22:51:40,721 - pyskl - INFO - Epoch [101][1900/2506] lr: 6.079e-03, eta: 14:34:34, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 1.8670, loss: 1.8670 +2025-05-14 22:52:21,405 - pyskl - INFO - Epoch [101][2000/2506] lr: 6.070e-03, eta: 14:33:51, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 1.8924, loss: 1.8924 +2025-05-14 22:53:02,512 - pyskl - INFO - Epoch [101][2100/2506] lr: 6.061e-03, eta: 14:33:08, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 1.9025, loss: 1.9025 +2025-05-14 22:53:43,820 - pyskl - INFO - Epoch [101][2200/2506] lr: 6.052e-03, eta: 14:32:24, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9356, top5_acc: 0.9912, loss_cls: 1.9444, loss: 1.9444 +2025-05-14 22:54:25,645 - pyskl - INFO - Epoch [101][2300/2506] lr: 6.043e-03, eta: 14:31:42, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 1.8372, loss: 1.8372 +2025-05-14 22:55:07,166 - pyskl - INFO - Epoch [101][2400/2506] lr: 6.034e-03, eta: 14:30:59, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 1.8960, loss: 1.8960 +2025-05-14 22:55:48,873 - pyskl - INFO - Epoch [101][2500/2506] lr: 6.025e-03, eta: 14:30:16, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 1.9184, loss: 1.9184 +2025-05-14 22:55:51,976 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-05-14 22:57:05,285 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 22:57:05,382 - pyskl - INFO - +top1_acc 0.8831 +top5_acc 0.9850 +2025-05-14 22:57:05,386 - pyskl - INFO - Epoch(val) [101][1031] top1_acc: 0.8831, top5_acc: 0.9850 +2025-05-14 22:58:12,707 - pyskl - INFO - Epoch [102][100/2506] lr: 6.016e-03, eta: 14:29:41, time: 0.673, data_time: 0.259, memory: 10841, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 1.7473, loss: 1.7473 +2025-05-14 22:58:53,352 - pyskl - INFO - Epoch [102][200/2506] lr: 6.007e-03, eta: 14:28:58, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 1.8393, loss: 1.8393 +2025-05-14 22:59:33,350 - pyskl - INFO - Epoch [102][300/2506] lr: 5.998e-03, eta: 14:28:14, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 1.7353, loss: 1.7353 +2025-05-14 23:00:14,143 - pyskl - INFO - Epoch [102][400/2506] lr: 5.989e-03, eta: 14:27:31, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9487, top5_acc: 0.9938, loss_cls: 1.8213, loss: 1.8213 +2025-05-14 23:00:55,140 - pyskl - INFO - Epoch [102][500/2506] lr: 5.980e-03, eta: 14:26:48, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 1.7916, loss: 1.7916 +2025-05-14 23:01:36,884 - pyskl - INFO - Epoch [102][600/2506] lr: 5.971e-03, eta: 14:26:05, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 1.8326, loss: 1.8326 +2025-05-14 23:02:18,164 - pyskl - INFO - Epoch [102][700/2506] lr: 5.962e-03, eta: 14:25:22, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 1.8253, loss: 1.8253 +2025-05-14 23:02:58,730 - pyskl - INFO - Epoch [102][800/2506] lr: 5.953e-03, eta: 14:24:38, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 1.8027, loss: 1.8027 +2025-05-14 23:03:40,568 - pyskl - INFO - Epoch [102][900/2506] lr: 5.945e-03, eta: 14:23:55, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9387, top5_acc: 0.9919, loss_cls: 1.8877, loss: 1.8877 +2025-05-14 23:04:22,456 - pyskl - INFO - Epoch [102][1000/2506] lr: 5.936e-03, eta: 14:23:12, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 1.8106, loss: 1.8106 +2025-05-14 23:05:03,336 - pyskl - INFO - Epoch [102][1100/2506] lr: 5.927e-03, eta: 14:22:29, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9919, loss_cls: 1.9289, loss: 1.9289 +2025-05-14 23:05:43,601 - pyskl - INFO - Epoch [102][1200/2506] lr: 5.918e-03, eta: 14:21:45, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 1.8341, loss: 1.8341 +2025-05-14 23:06:23,653 - pyskl - INFO - Epoch [102][1300/2506] lr: 5.909e-03, eta: 14:21:02, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 1.7594, loss: 1.7594 +2025-05-14 23:07:04,373 - pyskl - INFO - Epoch [102][1400/2506] lr: 5.900e-03, eta: 14:20:18, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 1.8283, loss: 1.8283 +2025-05-14 23:07:45,318 - pyskl - INFO - Epoch [102][1500/2506] lr: 5.891e-03, eta: 14:19:35, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 1.8755, loss: 1.8755 +2025-05-14 23:08:26,778 - pyskl - INFO - Epoch [102][1600/2506] lr: 5.882e-03, eta: 14:18:52, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 1.8208, loss: 1.8208 +2025-05-14 23:09:08,203 - pyskl - INFO - Epoch [102][1700/2506] lr: 5.873e-03, eta: 14:18:09, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 1.8785, loss: 1.8785 +2025-05-14 23:09:49,608 - pyskl - INFO - Epoch [102][1800/2506] lr: 5.865e-03, eta: 14:17:26, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 1.9046, loss: 1.9046 +2025-05-14 23:10:30,852 - pyskl - INFO - Epoch [102][1900/2506] lr: 5.856e-03, eta: 14:16:43, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 1.9025, loss: 1.9025 +2025-05-14 23:11:12,405 - pyskl - INFO - Epoch [102][2000/2506] lr: 5.847e-03, eta: 14:16:00, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9456, top5_acc: 0.9938, loss_cls: 1.8830, loss: 1.8830 +2025-05-14 23:11:54,128 - pyskl - INFO - Epoch [102][2100/2506] lr: 5.838e-03, eta: 14:15:17, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9425, top5_acc: 0.9931, loss_cls: 1.8746, loss: 1.8746 +2025-05-14 23:12:35,055 - pyskl - INFO - Epoch [102][2200/2506] lr: 5.829e-03, eta: 14:14:34, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 1.8333, loss: 1.8333 +2025-05-14 23:13:16,827 - pyskl - INFO - Epoch [102][2300/2506] lr: 5.820e-03, eta: 14:13:51, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 1.8602, loss: 1.8602 +2025-05-14 23:13:58,509 - pyskl - INFO - Epoch [102][2400/2506] lr: 5.812e-03, eta: 14:13:08, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 1.8127, loss: 1.8127 +2025-05-14 23:14:38,762 - pyskl - INFO - Epoch [102][2500/2506] lr: 5.803e-03, eta: 14:12:24, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9450, top5_acc: 0.9925, loss_cls: 1.8630, loss: 1.8630 +2025-05-14 23:14:42,139 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-05-14 23:15:54,741 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 23:15:54,839 - pyskl - INFO - +top1_acc 0.8871 +top5_acc 0.9850 +2025-05-14 23:15:54,843 - pyskl - INFO - Epoch(val) [102][1031] top1_acc: 0.8871, top5_acc: 0.9850 +2025-05-14 23:17:01,479 - pyskl - INFO - Epoch [103][100/2506] lr: 5.793e-03, eta: 14:11:49, time: 0.666, data_time: 0.249, memory: 10841, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 1.7823, loss: 1.7823 +2025-05-14 23:17:42,924 - pyskl - INFO - Epoch [103][200/2506] lr: 5.785e-03, eta: 14:11:06, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 1.7902, loss: 1.7902 +2025-05-14 23:18:22,857 - pyskl - INFO - Epoch [103][300/2506] lr: 5.776e-03, eta: 14:10:23, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 1.8399, loss: 1.8399 +2025-05-14 23:19:04,237 - pyskl - INFO - Epoch [103][400/2506] lr: 5.767e-03, eta: 14:09:40, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 1.8794, loss: 1.8794 +2025-05-14 23:19:45,663 - pyskl - INFO - Epoch [103][500/2506] lr: 5.758e-03, eta: 14:08:57, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9975, loss_cls: 1.9544, loss: 1.9544 +2025-05-14 23:20:26,343 - pyskl - INFO - Epoch [103][600/2506] lr: 5.749e-03, eta: 14:08:13, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 1.8737, loss: 1.8737 +2025-05-14 23:21:07,219 - pyskl - INFO - Epoch [103][700/2506] lr: 5.741e-03, eta: 14:07:30, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 1.9098, loss: 1.9098 +2025-05-14 23:21:46,944 - pyskl - INFO - Epoch [103][800/2506] lr: 5.732e-03, eta: 14:06:46, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 1.7301, loss: 1.7301 +2025-05-14 23:22:27,128 - pyskl - INFO - Epoch [103][900/2506] lr: 5.723e-03, eta: 14:06:02, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 1.7958, loss: 1.7958 +2025-05-14 23:23:07,316 - pyskl - INFO - Epoch [103][1000/2506] lr: 5.714e-03, eta: 14:05:19, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 1.6590, loss: 1.6590 +2025-05-14 23:23:49,160 - pyskl - INFO - Epoch [103][1100/2506] lr: 5.706e-03, eta: 14:04:36, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 1.7237, loss: 1.7237 +2025-05-14 23:24:30,448 - pyskl - INFO - Epoch [103][1200/2506] lr: 5.697e-03, eta: 14:03:53, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 1.8209, loss: 1.8209 +2025-05-14 23:25:10,376 - pyskl - INFO - Epoch [103][1300/2506] lr: 5.688e-03, eta: 14:03:09, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9944, loss_cls: 1.7096, loss: 1.7096 +2025-05-14 23:25:51,085 - pyskl - INFO - Epoch [103][1400/2506] lr: 5.679e-03, eta: 14:02:26, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 1.8628, loss: 1.8628 +2025-05-14 23:26:31,708 - pyskl - INFO - Epoch [103][1500/2506] lr: 5.670e-03, eta: 14:01:42, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 1.8914, loss: 1.8914 +2025-05-14 23:27:13,021 - pyskl - INFO - Epoch [103][1600/2506] lr: 5.662e-03, eta: 14:00:59, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 1.8197, loss: 1.8197 +2025-05-14 23:27:54,725 - pyskl - INFO - Epoch [103][1700/2506] lr: 5.653e-03, eta: 14:00:17, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 1.8568, loss: 1.8568 +2025-05-14 23:28:35,181 - pyskl - INFO - Epoch [103][1800/2506] lr: 5.644e-03, eta: 13:59:33, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 1.8387, loss: 1.8387 +2025-05-14 23:29:15,972 - pyskl - INFO - Epoch [103][1900/2506] lr: 5.636e-03, eta: 13:58:50, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 1.8465, loss: 1.8465 +2025-05-14 23:29:56,505 - pyskl - INFO - Epoch [103][2000/2506] lr: 5.627e-03, eta: 13:58:06, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 1.8144, loss: 1.8144 +2025-05-14 23:30:37,549 - pyskl - INFO - Epoch [103][2100/2506] lr: 5.618e-03, eta: 13:57:23, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 1.8396, loss: 1.8396 +2025-05-14 23:31:18,156 - pyskl - INFO - Epoch [103][2200/2506] lr: 5.609e-03, eta: 13:56:40, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 1.8486, loss: 1.8486 +2025-05-14 23:31:59,743 - pyskl - INFO - Epoch [103][2300/2506] lr: 5.601e-03, eta: 13:55:57, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 1.7921, loss: 1.7921 +2025-05-14 23:32:41,695 - pyskl - INFO - Epoch [103][2400/2506] lr: 5.592e-03, eta: 13:55:14, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 1.8697, loss: 1.8697 +2025-05-14 23:33:23,491 - pyskl - INFO - Epoch [103][2500/2506] lr: 5.583e-03, eta: 13:54:31, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 1.8680, loss: 1.8680 +2025-05-14 23:33:26,718 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-05-14 23:34:38,451 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 23:34:38,531 - pyskl - INFO - +top1_acc 0.8941 +top5_acc 0.9849 +2025-05-14 23:34:38,613 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_97.pth was removed +2025-05-14 23:34:39,906 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_103.pth. +2025-05-14 23:34:39,907 - pyskl - INFO - Best top1_acc is 0.8941 at 103 epoch. +2025-05-14 23:34:39,910 - pyskl - INFO - Epoch(val) [103][1031] top1_acc: 0.8941, top5_acc: 0.9849 +2025-05-14 23:35:47,181 - pyskl - INFO - Epoch [104][100/2506] lr: 5.574e-03, eta: 13:53:56, time: 0.673, data_time: 0.265, memory: 10841, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 1.7770, loss: 1.7770 +2025-05-14 23:36:27,592 - pyskl - INFO - Epoch [104][200/2506] lr: 5.565e-03, eta: 13:53:13, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 1.7788, loss: 1.7788 +2025-05-14 23:37:08,893 - pyskl - INFO - Epoch [104][300/2506] lr: 5.557e-03, eta: 13:52:30, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.6854, loss: 1.6854 +2025-05-14 23:37:49,769 - pyskl - INFO - Epoch [104][400/2506] lr: 5.548e-03, eta: 13:51:46, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 1.7596, loss: 1.7596 +2025-05-14 23:38:29,182 - pyskl - INFO - Epoch [104][500/2506] lr: 5.539e-03, eta: 13:51:03, time: 0.394, data_time: 0.000, memory: 10841, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 1.8482, loss: 1.8482 +2025-05-14 23:39:10,587 - pyskl - INFO - Epoch [104][600/2506] lr: 5.531e-03, eta: 13:50:20, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 1.9643, loss: 1.9643 +2025-05-14 23:39:50,843 - pyskl - INFO - Epoch [104][700/2506] lr: 5.522e-03, eta: 13:49:36, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 1.8026, loss: 1.8026 +2025-05-14 23:40:32,181 - pyskl - INFO - Epoch [104][800/2506] lr: 5.513e-03, eta: 13:48:53, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 1.7710, loss: 1.7710 +2025-05-14 23:41:13,482 - pyskl - INFO - Epoch [104][900/2506] lr: 5.505e-03, eta: 13:48:10, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 1.8263, loss: 1.8263 +2025-05-14 23:41:53,481 - pyskl - INFO - Epoch [104][1000/2506] lr: 5.496e-03, eta: 13:47:26, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 1.8664, loss: 1.8664 +2025-05-14 23:42:33,246 - pyskl - INFO - Epoch [104][1100/2506] lr: 5.487e-03, eta: 13:46:42, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 1.7481, loss: 1.7481 +2025-05-14 23:43:13,846 - pyskl - INFO - Epoch [104][1200/2506] lr: 5.479e-03, eta: 13:45:59, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 1.8387, loss: 1.8387 +2025-05-14 23:43:54,036 - pyskl - INFO - Epoch [104][1300/2506] lr: 5.470e-03, eta: 13:45:16, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 1.9859, loss: 1.9859 +2025-05-14 23:44:33,862 - pyskl - INFO - Epoch [104][1400/2506] lr: 5.461e-03, eta: 13:44:32, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 1.8458, loss: 1.8458 +2025-05-14 23:45:14,486 - pyskl - INFO - Epoch [104][1500/2506] lr: 5.453e-03, eta: 13:43:48, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 1.8137, loss: 1.8137 +2025-05-14 23:45:56,105 - pyskl - INFO - Epoch [104][1600/2506] lr: 5.444e-03, eta: 13:43:06, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 1.8555, loss: 1.8555 +2025-05-14 23:46:37,144 - pyskl - INFO - Epoch [104][1700/2506] lr: 5.435e-03, eta: 13:42:22, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 1.7885, loss: 1.7885 +2025-05-14 23:47:18,364 - pyskl - INFO - Epoch [104][1800/2506] lr: 5.427e-03, eta: 13:41:39, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 1.7397, loss: 1.7397 +2025-05-14 23:47:59,842 - pyskl - INFO - Epoch [104][1900/2506] lr: 5.418e-03, eta: 13:40:56, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 1.7753, loss: 1.7753 +2025-05-14 23:48:40,417 - pyskl - INFO - Epoch [104][2000/2506] lr: 5.410e-03, eta: 13:40:13, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 1.8194, loss: 1.8194 +2025-05-14 23:49:21,158 - pyskl - INFO - Epoch [104][2100/2506] lr: 5.401e-03, eta: 13:39:30, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 1.7839, loss: 1.7839 +2025-05-14 23:50:02,251 - pyskl - INFO - Epoch [104][2200/2506] lr: 5.392e-03, eta: 13:38:47, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 1.8783, loss: 1.8783 +2025-05-14 23:50:43,441 - pyskl - INFO - Epoch [104][2300/2506] lr: 5.384e-03, eta: 13:38:03, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 1.8201, loss: 1.8201 +2025-05-14 23:51:25,180 - pyskl - INFO - Epoch [104][2400/2506] lr: 5.375e-03, eta: 13:37:21, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9400, top5_acc: 0.9912, loss_cls: 1.8765, loss: 1.8765 +2025-05-14 23:52:06,742 - pyskl - INFO - Epoch [104][2500/2506] lr: 5.367e-03, eta: 13:36:38, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9381, top5_acc: 0.9906, loss_cls: 1.8797, loss: 1.8797 +2025-05-14 23:52:10,250 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-05-14 23:53:23,771 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-14 23:53:23,840 - pyskl - INFO - +top1_acc 0.8795 +top5_acc 0.9827 +2025-05-14 23:53:23,843 - pyskl - INFO - Epoch(val) [104][1031] top1_acc: 0.8795, top5_acc: 0.9827 +2025-05-14 23:54:30,200 - pyskl - INFO - Epoch [105][100/2506] lr: 5.358e-03, eta: 13:36:02, time: 0.664, data_time: 0.264, memory: 10841, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 1.8092, loss: 1.8092 +2025-05-14 23:55:10,370 - pyskl - INFO - Epoch [105][200/2506] lr: 5.349e-03, eta: 13:35:19, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 1.7716, loss: 1.7716 +2025-05-14 23:55:50,144 - pyskl - INFO - Epoch [105][300/2506] lr: 5.340e-03, eta: 13:34:35, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 1.7277, loss: 1.7277 +2025-05-14 23:56:30,585 - pyskl - INFO - Epoch [105][400/2506] lr: 5.332e-03, eta: 13:33:51, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 1.7563, loss: 1.7563 +2025-05-14 23:57:10,900 - pyskl - INFO - Epoch [105][500/2506] lr: 5.323e-03, eta: 13:33:08, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 1.7611, loss: 1.7611 +2025-05-14 23:57:51,555 - pyskl - INFO - Epoch [105][600/2506] lr: 5.315e-03, eta: 13:32:25, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 1.7091, loss: 1.7091 +2025-05-14 23:58:33,085 - pyskl - INFO - Epoch [105][700/2506] lr: 5.306e-03, eta: 13:31:42, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 1.7450, loss: 1.7450 +2025-05-14 23:59:13,791 - pyskl - INFO - Epoch [105][800/2506] lr: 5.298e-03, eta: 13:30:58, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 1.7323, loss: 1.7323 +2025-05-14 23:59:54,885 - pyskl - INFO - Epoch [105][900/2506] lr: 5.289e-03, eta: 13:30:15, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 1.7498, loss: 1.7498 +2025-05-15 00:00:34,826 - pyskl - INFO - Epoch [105][1000/2506] lr: 5.281e-03, eta: 13:29:32, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 1.7292, loss: 1.7292 +2025-05-15 00:01:15,921 - pyskl - INFO - Epoch [105][1100/2506] lr: 5.272e-03, eta: 13:28:49, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9544, top5_acc: 0.9944, loss_cls: 1.7288, loss: 1.7288 +2025-05-15 00:01:56,744 - pyskl - INFO - Epoch [105][1200/2506] lr: 5.264e-03, eta: 13:28:05, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 1.7125, loss: 1.7125 +2025-05-15 00:02:37,132 - pyskl - INFO - Epoch [105][1300/2506] lr: 5.255e-03, eta: 13:27:22, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 1.8167, loss: 1.8167 +2025-05-15 00:03:17,901 - pyskl - INFO - Epoch [105][1400/2506] lr: 5.247e-03, eta: 13:26:39, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 1.7896, loss: 1.7896 +2025-05-15 00:03:59,280 - pyskl - INFO - Epoch [105][1500/2506] lr: 5.238e-03, eta: 13:25:56, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 1.7894, loss: 1.7894 +2025-05-15 00:04:40,772 - pyskl - INFO - Epoch [105][1600/2506] lr: 5.230e-03, eta: 13:25:13, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 1.8000, loss: 1.8000 +2025-05-15 00:05:22,737 - pyskl - INFO - Epoch [105][1700/2506] lr: 5.221e-03, eta: 13:24:30, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.7680, loss: 1.7680 +2025-05-15 00:06:04,020 - pyskl - INFO - Epoch [105][1800/2506] lr: 5.213e-03, eta: 13:23:47, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 1.6995, loss: 1.6995 +2025-05-15 00:06:45,324 - pyskl - INFO - Epoch [105][1900/2506] lr: 5.204e-03, eta: 13:23:04, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 1.6957, loss: 1.6957 +2025-05-15 00:07:26,859 - pyskl - INFO - Epoch [105][2000/2506] lr: 5.196e-03, eta: 13:22:21, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 1.7888, loss: 1.7888 +2025-05-15 00:08:07,230 - pyskl - INFO - Epoch [105][2100/2506] lr: 5.187e-03, eta: 13:21:38, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9463, top5_acc: 0.9938, loss_cls: 1.8059, loss: 1.8059 +2025-05-15 00:08:47,805 - pyskl - INFO - Epoch [105][2200/2506] lr: 5.179e-03, eta: 13:20:54, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 1.7550, loss: 1.7550 +2025-05-15 00:09:28,633 - pyskl - INFO - Epoch [105][2300/2506] lr: 5.170e-03, eta: 13:20:11, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 1.7899, loss: 1.7899 +2025-05-15 00:10:09,012 - pyskl - INFO - Epoch [105][2400/2506] lr: 5.162e-03, eta: 13:19:28, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 1.8087, loss: 1.8087 +2025-05-15 00:10:49,668 - pyskl - INFO - Epoch [105][2500/2506] lr: 5.153e-03, eta: 13:18:44, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 1.8124, loss: 1.8124 +2025-05-15 00:10:52,773 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-05-15 00:12:03,439 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 00:12:03,505 - pyskl - INFO - +top1_acc 0.8904 +top5_acc 0.9849 +2025-05-15 00:12:03,508 - pyskl - INFO - Epoch(val) [105][1031] top1_acc: 0.8904, top5_acc: 0.9849 +2025-05-15 00:13:09,089 - pyskl - INFO - Epoch [106][100/2506] lr: 5.144e-03, eta: 13:18:08, time: 0.656, data_time: 0.245, memory: 10841, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 1.7601, loss: 1.7601 +2025-05-15 00:13:49,563 - pyskl - INFO - Epoch [106][200/2506] lr: 5.136e-03, eta: 13:17:25, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 1.6837, loss: 1.6837 +2025-05-15 00:14:30,552 - pyskl - INFO - Epoch [106][300/2506] lr: 5.127e-03, eta: 13:16:42, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 1.6829, loss: 1.6829 +2025-05-15 00:15:12,440 - pyskl - INFO - Epoch [106][400/2506] lr: 5.119e-03, eta: 13:15:59, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 1.7469, loss: 1.7469 +2025-05-15 00:15:53,820 - pyskl - INFO - Epoch [106][500/2506] lr: 5.111e-03, eta: 13:15:16, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 1.6958, loss: 1.6958 +2025-05-15 00:16:35,162 - pyskl - INFO - Epoch [106][600/2506] lr: 5.102e-03, eta: 13:14:33, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.7104, loss: 1.7104 +2025-05-15 00:17:16,948 - pyskl - INFO - Epoch [106][700/2506] lr: 5.094e-03, eta: 13:13:50, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 1.7220, loss: 1.7220 +2025-05-15 00:17:57,640 - pyskl - INFO - Epoch [106][800/2506] lr: 5.085e-03, eta: 13:13:07, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9594, top5_acc: 0.9950, loss_cls: 1.7551, loss: 1.7551 +2025-05-15 00:18:37,979 - pyskl - INFO - Epoch [106][900/2506] lr: 5.077e-03, eta: 13:12:23, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 1.7541, loss: 1.7541 +2025-05-15 00:19:18,532 - pyskl - INFO - Epoch [106][1000/2506] lr: 5.069e-03, eta: 13:11:40, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 1.6798, loss: 1.6798 +2025-05-15 00:19:59,897 - pyskl - INFO - Epoch [106][1100/2506] lr: 5.060e-03, eta: 13:10:57, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 1.7417, loss: 1.7417 +2025-05-15 00:20:41,510 - pyskl - INFO - Epoch [106][1200/2506] lr: 5.052e-03, eta: 13:10:14, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 1.7258, loss: 1.7258 +2025-05-15 00:21:22,925 - pyskl - INFO - Epoch [106][1300/2506] lr: 5.043e-03, eta: 13:09:31, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 1.7528, loss: 1.7528 +2025-05-15 00:22:03,938 - pyskl - INFO - Epoch [106][1400/2506] lr: 5.035e-03, eta: 13:08:48, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 1.7624, loss: 1.7624 +2025-05-15 00:22:45,001 - pyskl - INFO - Epoch [106][1500/2506] lr: 5.027e-03, eta: 13:08:05, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 1.6866, loss: 1.6866 +2025-05-15 00:23:25,710 - pyskl - INFO - Epoch [106][1600/2506] lr: 5.018e-03, eta: 13:07:22, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 1.6976, loss: 1.6976 +2025-05-15 00:24:06,243 - pyskl - INFO - Epoch [106][1700/2506] lr: 5.010e-03, eta: 13:06:38, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 1.7787, loss: 1.7787 +2025-05-15 00:24:48,305 - pyskl - INFO - Epoch [106][1800/2506] lr: 5.001e-03, eta: 13:05:56, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 1.8099, loss: 1.8099 +2025-05-15 00:25:30,178 - pyskl - INFO - Epoch [106][1900/2506] lr: 4.993e-03, eta: 13:05:13, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 1.7582, loss: 1.7582 +2025-05-15 00:26:12,072 - pyskl - INFO - Epoch [106][2000/2506] lr: 4.985e-03, eta: 13:04:30, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 1.7557, loss: 1.7557 +2025-05-15 00:26:53,705 - pyskl - INFO - Epoch [106][2100/2506] lr: 4.976e-03, eta: 13:03:47, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 1.7645, loss: 1.7645 +2025-05-15 00:27:34,678 - pyskl - INFO - Epoch [106][2200/2506] lr: 4.968e-03, eta: 13:03:04, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 1.7854, loss: 1.7854 +2025-05-15 00:28:16,208 - pyskl - INFO - Epoch [106][2300/2506] lr: 4.960e-03, eta: 13:02:21, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 1.7370, loss: 1.7370 +2025-05-15 00:28:58,582 - pyskl - INFO - Epoch [106][2400/2506] lr: 4.951e-03, eta: 13:01:39, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9456, top5_acc: 0.9944, loss_cls: 1.7955, loss: 1.7955 +2025-05-15 00:29:39,410 - pyskl - INFO - Epoch [106][2500/2506] lr: 4.943e-03, eta: 13:00:56, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 1.7669, loss: 1.7669 +2025-05-15 00:29:42,438 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-05-15 00:30:55,545 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 00:30:55,615 - pyskl - INFO - +top1_acc 0.8953 +top5_acc 0.9838 +2025-05-15 00:30:55,703 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_103.pth was removed +2025-05-15 00:30:56,980 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_106.pth. +2025-05-15 00:30:56,981 - pyskl - INFO - Best top1_acc is 0.8953 at 106 epoch. +2025-05-15 00:30:56,984 - pyskl - INFO - Epoch(val) [106][1031] top1_acc: 0.8953, top5_acc: 0.9838 +2025-05-15 00:32:05,098 - pyskl - INFO - Epoch [107][100/2506] lr: 4.934e-03, eta: 13:00:20, time: 0.681, data_time: 0.272, memory: 10841, top1_acc: 0.9594, top5_acc: 0.9956, loss_cls: 1.6757, loss: 1.6757 +2025-05-15 00:32:46,415 - pyskl - INFO - Epoch [107][200/2506] lr: 4.926e-03, eta: 12:59:37, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 1.6688, loss: 1.6688 +2025-05-15 00:33:27,449 - pyskl - INFO - Epoch [107][300/2506] lr: 4.918e-03, eta: 12:58:54, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 1.7207, loss: 1.7207 +2025-05-15 00:34:07,956 - pyskl - INFO - Epoch [107][400/2506] lr: 4.909e-03, eta: 12:58:11, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 1.6231, loss: 1.6231 +2025-05-15 00:34:48,550 - pyskl - INFO - Epoch [107][500/2506] lr: 4.901e-03, eta: 12:57:27, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 1.7703, loss: 1.7703 +2025-05-15 00:35:28,362 - pyskl - INFO - Epoch [107][600/2506] lr: 4.893e-03, eta: 12:56:44, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 1.6609, loss: 1.6609 +2025-05-15 00:36:08,777 - pyskl - INFO - Epoch [107][700/2506] lr: 4.884e-03, eta: 12:56:00, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 1.6949, loss: 1.6949 +2025-05-15 00:36:49,550 - pyskl - INFO - Epoch [107][800/2506] lr: 4.876e-03, eta: 12:55:17, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 1.7701, loss: 1.7701 +2025-05-15 00:37:29,711 - pyskl - INFO - Epoch [107][900/2506] lr: 4.868e-03, eta: 12:54:34, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9956, loss_cls: 1.6604, loss: 1.6604 +2025-05-15 00:38:10,200 - pyskl - INFO - Epoch [107][1000/2506] lr: 4.860e-03, eta: 12:53:50, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 1.7319, loss: 1.7319 +2025-05-15 00:38:50,000 - pyskl - INFO - Epoch [107][1100/2506] lr: 4.851e-03, eta: 12:53:07, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 1.7514, loss: 1.7514 +2025-05-15 00:39:30,959 - pyskl - INFO - Epoch [107][1200/2506] lr: 4.843e-03, eta: 12:52:24, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 1.7171, loss: 1.7171 +2025-05-15 00:40:12,460 - pyskl - INFO - Epoch [107][1300/2506] lr: 4.835e-03, eta: 12:51:41, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 1.7678, loss: 1.7678 +2025-05-15 00:40:53,514 - pyskl - INFO - Epoch [107][1400/2506] lr: 4.827e-03, eta: 12:50:58, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9563, top5_acc: 0.9938, loss_cls: 1.7554, loss: 1.7554 +2025-05-15 00:41:34,209 - pyskl - INFO - Epoch [107][1500/2506] lr: 4.818e-03, eta: 12:50:15, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 1.7286, loss: 1.7286 +2025-05-15 00:42:15,263 - pyskl - INFO - Epoch [107][1600/2506] lr: 4.810e-03, eta: 12:49:32, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 1.7703, loss: 1.7703 +2025-05-15 00:42:54,997 - pyskl - INFO - Epoch [107][1700/2506] lr: 4.802e-03, eta: 12:48:48, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 1.7277, loss: 1.7277 +2025-05-15 00:43:36,674 - pyskl - INFO - Epoch [107][1800/2506] lr: 4.794e-03, eta: 12:48:05, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9369, top5_acc: 0.9919, loss_cls: 1.8849, loss: 1.8849 +2025-05-15 00:44:18,225 - pyskl - INFO - Epoch [107][1900/2506] lr: 4.785e-03, eta: 12:47:22, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 1.7214, loss: 1.7214 +2025-05-15 00:44:59,157 - pyskl - INFO - Epoch [107][2000/2506] lr: 4.777e-03, eta: 12:46:39, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9544, top5_acc: 0.9950, loss_cls: 1.7753, loss: 1.7753 +2025-05-15 00:45:39,520 - pyskl - INFO - Epoch [107][2100/2506] lr: 4.769e-03, eta: 12:45:56, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 1.6202, loss: 1.6202 +2025-05-15 00:46:21,356 - pyskl - INFO - Epoch [107][2200/2506] lr: 4.761e-03, eta: 12:45:13, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 1.7605, loss: 1.7605 +2025-05-15 00:47:02,472 - pyskl - INFO - Epoch [107][2300/2506] lr: 4.753e-03, eta: 12:44:30, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.6440, loss: 1.6440 +2025-05-15 00:47:43,871 - pyskl - INFO - Epoch [107][2400/2506] lr: 4.744e-03, eta: 12:43:47, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 1.7445, loss: 1.7445 +2025-05-15 00:48:25,464 - pyskl - INFO - Epoch [107][2500/2506] lr: 4.736e-03, eta: 12:43:04, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.6991, loss: 1.6991 +2025-05-15 00:48:28,761 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-05-15 00:49:40,025 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 00:49:40,120 - pyskl - INFO - +top1_acc 0.8934 +top5_acc 0.9831 +2025-05-15 00:49:40,123 - pyskl - INFO - Epoch(val) [107][1031] top1_acc: 0.8934, top5_acc: 0.9831 +2025-05-15 00:50:47,695 - pyskl - INFO - Epoch [108][100/2506] lr: 4.728e-03, eta: 12:42:28, time: 0.676, data_time: 0.262, memory: 10841, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 1.6933, loss: 1.6933 +2025-05-15 00:51:28,543 - pyskl - INFO - Epoch [108][200/2506] lr: 4.719e-03, eta: 12:41:45, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 1.6521, loss: 1.6521 +2025-05-15 00:52:09,029 - pyskl - INFO - Epoch [108][300/2506] lr: 4.711e-03, eta: 12:41:02, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 1.7268, loss: 1.7268 +2025-05-15 00:52:48,989 - pyskl - INFO - Epoch [108][400/2506] lr: 4.703e-03, eta: 12:40:18, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 1.6481, loss: 1.6481 +2025-05-15 00:53:30,523 - pyskl - INFO - Epoch [108][500/2506] lr: 4.695e-03, eta: 12:39:35, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 1.6794, loss: 1.6794 +2025-05-15 00:54:11,888 - pyskl - INFO - Epoch [108][600/2506] lr: 4.687e-03, eta: 12:38:52, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 1.6793, loss: 1.6793 +2025-05-15 00:54:52,723 - pyskl - INFO - Epoch [108][700/2506] lr: 4.679e-03, eta: 12:38:09, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.6748, loss: 1.6748 +2025-05-15 00:55:32,908 - pyskl - INFO - Epoch [108][800/2506] lr: 4.670e-03, eta: 12:37:26, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 1.7368, loss: 1.7368 +2025-05-15 00:56:13,713 - pyskl - INFO - Epoch [108][900/2506] lr: 4.662e-03, eta: 12:36:43, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 1.7379, loss: 1.7379 +2025-05-15 00:56:54,724 - pyskl - INFO - Epoch [108][1000/2506] lr: 4.654e-03, eta: 12:36:00, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 1.6863, loss: 1.6863 +2025-05-15 00:57:36,544 - pyskl - INFO - Epoch [108][1100/2506] lr: 4.646e-03, eta: 12:35:17, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 1.7472, loss: 1.7472 +2025-05-15 00:58:18,230 - pyskl - INFO - Epoch [108][1200/2506] lr: 4.638e-03, eta: 12:34:34, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 1.7284, loss: 1.7284 +2025-05-15 00:58:58,833 - pyskl - INFO - Epoch [108][1300/2506] lr: 4.630e-03, eta: 12:33:51, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 1.7229, loss: 1.7229 +2025-05-15 00:59:39,675 - pyskl - INFO - Epoch [108][1400/2506] lr: 4.622e-03, eta: 12:33:08, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9619, top5_acc: 0.9944, loss_cls: 1.7260, loss: 1.7260 +2025-05-15 01:00:21,489 - pyskl - INFO - Epoch [108][1500/2506] lr: 4.614e-03, eta: 12:32:25, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 1.7150, loss: 1.7150 +2025-05-15 01:01:02,936 - pyskl - INFO - Epoch [108][1600/2506] lr: 4.605e-03, eta: 12:31:42, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 1.7675, loss: 1.7675 +2025-05-15 01:01:44,320 - pyskl - INFO - Epoch [108][1700/2506] lr: 4.597e-03, eta: 12:30:59, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 1.7749, loss: 1.7749 +2025-05-15 01:02:26,076 - pyskl - INFO - Epoch [108][1800/2506] lr: 4.589e-03, eta: 12:30:16, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 1.7149, loss: 1.7149 +2025-05-15 01:03:07,296 - pyskl - INFO - Epoch [108][1900/2506] lr: 4.581e-03, eta: 12:29:33, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 1.7252, loss: 1.7252 +2025-05-15 01:03:48,788 - pyskl - INFO - Epoch [108][2000/2506] lr: 4.573e-03, eta: 12:28:50, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9494, top5_acc: 0.9938, loss_cls: 1.7740, loss: 1.7740 +2025-05-15 01:04:30,156 - pyskl - INFO - Epoch [108][2100/2506] lr: 4.565e-03, eta: 12:28:08, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 1.7034, loss: 1.7034 +2025-05-15 01:05:11,179 - pyskl - INFO - Epoch [108][2200/2506] lr: 4.557e-03, eta: 12:27:25, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9506, top5_acc: 0.9944, loss_cls: 1.7322, loss: 1.7322 +2025-05-15 01:05:53,126 - pyskl - INFO - Epoch [108][2300/2506] lr: 4.549e-03, eta: 12:26:42, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 1.7433, loss: 1.7433 +2025-05-15 01:06:34,136 - pyskl - INFO - Epoch [108][2400/2506] lr: 4.541e-03, eta: 12:25:59, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 1.7723, loss: 1.7723 +2025-05-15 01:07:16,000 - pyskl - INFO - Epoch [108][2500/2506] lr: 4.533e-03, eta: 12:25:16, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 1.7879, loss: 1.7879 +2025-05-15 01:07:19,206 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-05-15 01:08:31,267 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 01:08:31,333 - pyskl - INFO - +top1_acc 0.8883 +top5_acc 0.9847 +2025-05-15 01:08:31,335 - pyskl - INFO - Epoch(val) [108][1031] top1_acc: 0.8883, top5_acc: 0.9847 +2025-05-15 01:09:38,245 - pyskl - INFO - Epoch [109][100/2506] lr: 4.524e-03, eta: 12:24:39, time: 0.669, data_time: 0.260, memory: 10841, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 1.6930, loss: 1.6930 +2025-05-15 01:10:18,206 - pyskl - INFO - Epoch [109][200/2506] lr: 4.516e-03, eta: 12:23:56, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 1.6032, loss: 1.6032 +2025-05-15 01:10:58,148 - pyskl - INFO - Epoch [109][300/2506] lr: 4.508e-03, eta: 12:23:13, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.6465, loss: 1.6465 +2025-05-15 01:11:38,200 - pyskl - INFO - Epoch [109][400/2506] lr: 4.500e-03, eta: 12:22:29, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 1.6847, loss: 1.6847 +2025-05-15 01:12:18,839 - pyskl - INFO - Epoch [109][500/2506] lr: 4.492e-03, eta: 12:21:46, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 1.7410, loss: 1.7410 +2025-05-15 01:12:58,659 - pyskl - INFO - Epoch [109][600/2506] lr: 4.484e-03, eta: 12:21:02, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 1.6272, loss: 1.6272 +2025-05-15 01:13:38,705 - pyskl - INFO - Epoch [109][700/2506] lr: 4.476e-03, eta: 12:20:19, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 1.6765, loss: 1.6765 +2025-05-15 01:14:19,535 - pyskl - INFO - Epoch [109][800/2506] lr: 4.468e-03, eta: 12:19:36, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 1.5724, loss: 1.5724 +2025-05-15 01:15:00,298 - pyskl - INFO - Epoch [109][900/2506] lr: 4.460e-03, eta: 12:18:53, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.5867, loss: 1.5867 +2025-05-15 01:15:40,631 - pyskl - INFO - Epoch [109][1000/2506] lr: 4.452e-03, eta: 12:18:09, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.6386, loss: 1.6386 +2025-05-15 01:16:21,843 - pyskl - INFO - Epoch [109][1100/2506] lr: 4.444e-03, eta: 12:17:26, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 1.7133, loss: 1.7133 +2025-05-15 01:17:02,716 - pyskl - INFO - Epoch [109][1200/2506] lr: 4.436e-03, eta: 12:16:43, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.7016, loss: 1.7016 +2025-05-15 01:17:42,777 - pyskl - INFO - Epoch [109][1300/2506] lr: 4.428e-03, eta: 12:16:00, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9625, top5_acc: 0.9956, loss_cls: 1.6923, loss: 1.6923 +2025-05-15 01:18:23,174 - pyskl - INFO - Epoch [109][1400/2506] lr: 4.420e-03, eta: 12:15:17, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 1.7048, loss: 1.7048 +2025-05-15 01:19:03,311 - pyskl - INFO - Epoch [109][1500/2506] lr: 4.412e-03, eta: 12:14:33, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 1.7440, loss: 1.7440 +2025-05-15 01:19:42,977 - pyskl - INFO - Epoch [109][1600/2506] lr: 4.404e-03, eta: 12:13:50, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 1.7173, loss: 1.7173 +2025-05-15 01:20:23,325 - pyskl - INFO - Epoch [109][1700/2506] lr: 4.396e-03, eta: 12:13:06, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 1.7303, loss: 1.7303 +2025-05-15 01:21:04,663 - pyskl - INFO - Epoch [109][1800/2506] lr: 4.388e-03, eta: 12:12:24, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9581, top5_acc: 0.9950, loss_cls: 1.7546, loss: 1.7546 +2025-05-15 01:21:46,591 - pyskl - INFO - Epoch [109][1900/2506] lr: 4.380e-03, eta: 12:11:41, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 1.7582, loss: 1.7582 +2025-05-15 01:22:27,566 - pyskl - INFO - Epoch [109][2000/2506] lr: 4.372e-03, eta: 12:10:58, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 1.6604, loss: 1.6604 +2025-05-15 01:23:08,048 - pyskl - INFO - Epoch [109][2100/2506] lr: 4.364e-03, eta: 12:10:15, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9637, top5_acc: 0.9950, loss_cls: 1.6701, loss: 1.6701 +2025-05-15 01:23:49,455 - pyskl - INFO - Epoch [109][2200/2506] lr: 4.357e-03, eta: 12:09:32, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 1.7188, loss: 1.7188 +2025-05-15 01:24:30,987 - pyskl - INFO - Epoch [109][2300/2506] lr: 4.349e-03, eta: 12:08:49, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 1.6816, loss: 1.6816 +2025-05-15 01:25:12,396 - pyskl - INFO - Epoch [109][2400/2506] lr: 4.341e-03, eta: 12:08:06, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9406, top5_acc: 0.9981, loss_cls: 1.8201, loss: 1.8201 +2025-05-15 01:25:54,001 - pyskl - INFO - Epoch [109][2500/2506] lr: 4.333e-03, eta: 12:07:23, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 1.7551, loss: 1.7551 +2025-05-15 01:25:57,161 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-05-15 01:27:09,136 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 01:27:09,202 - pyskl - INFO - +top1_acc 0.8826 +top5_acc 0.9818 +2025-05-15 01:27:09,204 - pyskl - INFO - Epoch(val) [109][1031] top1_acc: 0.8826, top5_acc: 0.9818 +2025-05-15 01:28:14,044 - pyskl - INFO - Epoch [110][100/2506] lr: 4.324e-03, eta: 12:06:46, time: 0.648, data_time: 0.243, memory: 10841, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 1.6923, loss: 1.6923 +2025-05-15 01:28:53,947 - pyskl - INFO - Epoch [110][200/2506] lr: 4.317e-03, eta: 12:06:02, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 1.6414, loss: 1.6414 +2025-05-15 01:29:35,920 - pyskl - INFO - Epoch [110][300/2506] lr: 4.309e-03, eta: 12:05:19, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 1.6695, loss: 1.6695 +2025-05-15 01:30:17,220 - pyskl - INFO - Epoch [110][400/2506] lr: 4.301e-03, eta: 12:04:37, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 1.6922, loss: 1.6922 +2025-05-15 01:30:58,032 - pyskl - INFO - Epoch [110][500/2506] lr: 4.293e-03, eta: 12:03:53, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 1.6629, loss: 1.6629 +2025-05-15 01:31:38,240 - pyskl - INFO - Epoch [110][600/2506] lr: 4.285e-03, eta: 12:03:10, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 1.6907, loss: 1.6907 +2025-05-15 01:32:19,431 - pyskl - INFO - Epoch [110][700/2506] lr: 4.277e-03, eta: 12:02:27, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 1.7364, loss: 1.7364 +2025-05-15 01:32:59,244 - pyskl - INFO - Epoch [110][800/2506] lr: 4.269e-03, eta: 12:01:44, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 1.6550, loss: 1.6550 +2025-05-15 01:33:40,921 - pyskl - INFO - Epoch [110][900/2506] lr: 4.261e-03, eta: 12:01:01, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 1.6612, loss: 1.6612 +2025-05-15 01:34:22,717 - pyskl - INFO - Epoch [110][1000/2506] lr: 4.254e-03, eta: 12:00:18, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 1.6421, loss: 1.6421 +2025-05-15 01:35:03,528 - pyskl - INFO - Epoch [110][1100/2506] lr: 4.246e-03, eta: 11:59:35, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 1.7236, loss: 1.7236 +2025-05-15 01:35:43,481 - pyskl - INFO - Epoch [110][1200/2506] lr: 4.238e-03, eta: 11:58:52, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 1.6930, loss: 1.6930 +2025-05-15 01:36:24,069 - pyskl - INFO - Epoch [110][1300/2506] lr: 4.230e-03, eta: 11:58:08, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.6226, loss: 1.6226 +2025-05-15 01:37:04,767 - pyskl - INFO - Epoch [110][1400/2506] lr: 4.222e-03, eta: 11:57:25, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 1.6376, loss: 1.6376 +2025-05-15 01:37:46,405 - pyskl - INFO - Epoch [110][1500/2506] lr: 4.214e-03, eta: 11:56:43, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.6669, loss: 1.6669 +2025-05-15 01:38:27,931 - pyskl - INFO - Epoch [110][1600/2506] lr: 4.207e-03, eta: 11:56:00, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 1.6922, loss: 1.6922 +2025-05-15 01:39:07,924 - pyskl - INFO - Epoch [110][1700/2506] lr: 4.199e-03, eta: 11:55:16, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 1.7406, loss: 1.7406 +2025-05-15 01:39:48,577 - pyskl - INFO - Epoch [110][1800/2506] lr: 4.191e-03, eta: 11:54:33, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 1.6508, loss: 1.6508 +2025-05-15 01:40:28,691 - pyskl - INFO - Epoch [110][1900/2506] lr: 4.183e-03, eta: 11:53:50, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 1.7872, loss: 1.7872 +2025-05-15 01:41:10,469 - pyskl - INFO - Epoch [110][2000/2506] lr: 4.175e-03, eta: 11:53:07, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 1.6872, loss: 1.6872 +2025-05-15 01:41:51,648 - pyskl - INFO - Epoch [110][2100/2506] lr: 4.168e-03, eta: 11:52:24, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 1.7258, loss: 1.7258 +2025-05-15 01:42:33,602 - pyskl - INFO - Epoch [110][2200/2506] lr: 4.160e-03, eta: 11:51:42, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 1.6682, loss: 1.6682 +2025-05-15 01:43:14,832 - pyskl - INFO - Epoch [110][2300/2506] lr: 4.152e-03, eta: 11:50:59, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 1.6913, loss: 1.6913 +2025-05-15 01:43:56,367 - pyskl - INFO - Epoch [110][2400/2506] lr: 4.144e-03, eta: 11:50:16, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 1.7652, loss: 1.7652 +2025-05-15 01:44:37,458 - pyskl - INFO - Epoch [110][2500/2506] lr: 4.136e-03, eta: 11:49:33, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 1.7263, loss: 1.7263 +2025-05-15 01:44:40,820 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-05-15 01:45:53,594 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 01:45:53,689 - pyskl - INFO - +top1_acc 0.8948 +top5_acc 0.9850 +2025-05-15 01:45:53,692 - pyskl - INFO - Epoch(val) [110][1031] top1_acc: 0.8948, top5_acc: 0.9850 +2025-05-15 01:46:59,841 - pyskl - INFO - Epoch [111][100/2506] lr: 4.128e-03, eta: 11:48:56, time: 0.661, data_time: 0.262, memory: 10841, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.5909, loss: 1.5909 +2025-05-15 01:47:40,868 - pyskl - INFO - Epoch [111][200/2506] lr: 4.120e-03, eta: 11:48:12, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 1.6488, loss: 1.6488 +2025-05-15 01:48:22,225 - pyskl - INFO - Epoch [111][300/2506] lr: 4.113e-03, eta: 11:47:30, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.5675, loss: 1.5675 +2025-05-15 01:49:02,424 - pyskl - INFO - Epoch [111][400/2506] lr: 4.105e-03, eta: 11:46:46, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.6326, loss: 1.6326 +2025-05-15 01:49:42,545 - pyskl - INFO - Epoch [111][500/2506] lr: 4.097e-03, eta: 11:46:03, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 1.6029, loss: 1.6029 +2025-05-15 01:50:22,596 - pyskl - INFO - Epoch [111][600/2506] lr: 4.089e-03, eta: 11:45:20, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.6530, loss: 1.6530 +2025-05-15 01:51:03,485 - pyskl - INFO - Epoch [111][700/2506] lr: 4.082e-03, eta: 11:44:37, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 1.6462, loss: 1.6462 +2025-05-15 01:51:43,867 - pyskl - INFO - Epoch [111][800/2506] lr: 4.074e-03, eta: 11:43:53, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.5927, loss: 1.5927 +2025-05-15 01:52:24,036 - pyskl - INFO - Epoch [111][900/2506] lr: 4.066e-03, eta: 11:43:10, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 1.7108, loss: 1.7108 +2025-05-15 01:53:05,368 - pyskl - INFO - Epoch [111][1000/2506] lr: 4.059e-03, eta: 11:42:27, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 1.6082, loss: 1.6082 +2025-05-15 01:53:45,657 - pyskl - INFO - Epoch [111][1100/2506] lr: 4.051e-03, eta: 11:41:44, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 1.6668, loss: 1.6668 +2025-05-15 01:54:25,476 - pyskl - INFO - Epoch [111][1200/2506] lr: 4.043e-03, eta: 11:41:01, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9637, top5_acc: 0.9962, loss_cls: 1.6505, loss: 1.6505 +2025-05-15 01:55:05,432 - pyskl - INFO - Epoch [111][1300/2506] lr: 4.036e-03, eta: 11:40:17, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 1.5787, loss: 1.5787 +2025-05-15 01:55:46,312 - pyskl - INFO - Epoch [111][1400/2506] lr: 4.028e-03, eta: 11:39:34, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 1.6847, loss: 1.6847 +2025-05-15 01:56:26,188 - pyskl - INFO - Epoch [111][1500/2506] lr: 4.020e-03, eta: 11:38:51, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 1.6274, loss: 1.6274 +2025-05-15 01:57:07,579 - pyskl - INFO - Epoch [111][1600/2506] lr: 4.012e-03, eta: 11:38:08, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 1.6131, loss: 1.6131 +2025-05-15 01:57:48,880 - pyskl - INFO - Epoch [111][1700/2506] lr: 4.005e-03, eta: 11:37:25, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 1.7353, loss: 1.7353 +2025-05-15 01:58:29,248 - pyskl - INFO - Epoch [111][1800/2506] lr: 3.997e-03, eta: 11:36:42, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 1.5664, loss: 1.5664 +2025-05-15 01:59:10,740 - pyskl - INFO - Epoch [111][1900/2506] lr: 3.989e-03, eta: 11:35:59, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 1.6605, loss: 1.6605 +2025-05-15 01:59:52,016 - pyskl - INFO - Epoch [111][2000/2506] lr: 3.982e-03, eta: 11:35:16, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 1.6014, loss: 1.6014 +2025-05-15 02:00:33,284 - pyskl - INFO - Epoch [111][2100/2506] lr: 3.974e-03, eta: 11:34:33, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 1.6705, loss: 1.6705 +2025-05-15 02:01:14,143 - pyskl - INFO - Epoch [111][2200/2506] lr: 3.967e-03, eta: 11:33:50, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 1.6288, loss: 1.6288 +2025-05-15 02:01:55,215 - pyskl - INFO - Epoch [111][2300/2506] lr: 3.959e-03, eta: 11:33:07, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 1.6519, loss: 1.6519 +2025-05-15 02:02:36,119 - pyskl - INFO - Epoch [111][2400/2506] lr: 3.951e-03, eta: 11:32:24, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 1.6377, loss: 1.6377 +2025-05-15 02:03:17,280 - pyskl - INFO - Epoch [111][2500/2506] lr: 3.944e-03, eta: 11:31:41, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 1.5713, loss: 1.5713 +2025-05-15 02:03:20,260 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-05-15 02:04:30,515 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 02:04:30,580 - pyskl - INFO - +top1_acc 0.8908 +top5_acc 0.9837 +2025-05-15 02:04:30,583 - pyskl - INFO - Epoch(val) [111][1031] top1_acc: 0.8908, top5_acc: 0.9837 +2025-05-15 02:05:37,620 - pyskl - INFO - Epoch [112][100/2506] lr: 3.936e-03, eta: 11:31:04, time: 0.670, data_time: 0.260, memory: 10841, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 1.5876, loss: 1.5876 +2025-05-15 02:06:19,235 - pyskl - INFO - Epoch [112][200/2506] lr: 3.928e-03, eta: 11:30:21, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.5625, loss: 1.5625 +2025-05-15 02:07:00,208 - pyskl - INFO - Epoch [112][300/2506] lr: 3.920e-03, eta: 11:29:38, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 1.6380, loss: 1.6380 +2025-05-15 02:07:40,880 - pyskl - INFO - Epoch [112][400/2506] lr: 3.913e-03, eta: 11:28:55, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.5502, loss: 1.5502 +2025-05-15 02:08:22,453 - pyskl - INFO - Epoch [112][500/2506] lr: 3.905e-03, eta: 11:28:12, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.5400, loss: 1.5400 +2025-05-15 02:09:02,940 - pyskl - INFO - Epoch [112][600/2506] lr: 3.898e-03, eta: 11:27:29, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9700, top5_acc: 0.9956, loss_cls: 1.6020, loss: 1.6020 +2025-05-15 02:09:43,877 - pyskl - INFO - Epoch [112][700/2506] lr: 3.890e-03, eta: 11:26:46, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.5765, loss: 1.5765 +2025-05-15 02:10:24,465 - pyskl - INFO - Epoch [112][800/2506] lr: 3.883e-03, eta: 11:26:03, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 1.5256, loss: 1.5256 +2025-05-15 02:11:05,528 - pyskl - INFO - Epoch [112][900/2506] lr: 3.875e-03, eta: 11:25:20, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 1.5667, loss: 1.5667 +2025-05-15 02:11:45,443 - pyskl - INFO - Epoch [112][1000/2506] lr: 3.867e-03, eta: 11:24:37, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 1.6058, loss: 1.6058 +2025-05-15 02:12:25,873 - pyskl - INFO - Epoch [112][1100/2506] lr: 3.860e-03, eta: 11:23:54, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.6259, loss: 1.6259 +2025-05-15 02:13:06,344 - pyskl - INFO - Epoch [112][1200/2506] lr: 3.852e-03, eta: 11:23:10, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 1.6740, loss: 1.6740 +2025-05-15 02:13:46,457 - pyskl - INFO - Epoch [112][1300/2506] lr: 3.845e-03, eta: 11:22:27, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 1.6173, loss: 1.6173 +2025-05-15 02:14:27,059 - pyskl - INFO - Epoch [112][1400/2506] lr: 3.837e-03, eta: 11:21:44, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 1.6737, loss: 1.6737 +2025-05-15 02:15:08,429 - pyskl - INFO - Epoch [112][1500/2506] lr: 3.830e-03, eta: 11:21:01, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 1.6558, loss: 1.6558 +2025-05-15 02:15:48,813 - pyskl - INFO - Epoch [112][1600/2506] lr: 3.822e-03, eta: 11:20:18, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 1.6229, loss: 1.6229 +2025-05-15 02:16:29,580 - pyskl - INFO - Epoch [112][1700/2506] lr: 3.815e-03, eta: 11:19:35, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 1.6013, loss: 1.6013 +2025-05-15 02:17:09,889 - pyskl - INFO - Epoch [112][1800/2506] lr: 3.807e-03, eta: 11:18:52, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 1.6117, loss: 1.6117 +2025-05-15 02:17:51,032 - pyskl - INFO - Epoch [112][1900/2506] lr: 3.800e-03, eta: 11:18:09, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9544, top5_acc: 0.9950, loss_cls: 1.7281, loss: 1.7281 +2025-05-15 02:18:31,582 - pyskl - INFO - Epoch [112][2000/2506] lr: 3.792e-03, eta: 11:17:26, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 1.6571, loss: 1.6571 +2025-05-15 02:19:13,286 - pyskl - INFO - Epoch [112][2100/2506] lr: 3.785e-03, eta: 11:16:43, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 1.7009, loss: 1.7009 +2025-05-15 02:19:54,756 - pyskl - INFO - Epoch [112][2200/2506] lr: 3.777e-03, eta: 11:16:00, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 1.6228, loss: 1.6228 +2025-05-15 02:20:36,487 - pyskl - INFO - Epoch [112][2300/2506] lr: 3.770e-03, eta: 11:15:18, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 1.6529, loss: 1.6529 +2025-05-15 02:21:17,988 - pyskl - INFO - Epoch [112][2400/2506] lr: 3.762e-03, eta: 11:14:35, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 1.6755, loss: 1.6755 +2025-05-15 02:21:59,840 - pyskl - INFO - Epoch [112][2500/2506] lr: 3.755e-03, eta: 11:13:52, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 1.7089, loss: 1.7089 +2025-05-15 02:22:03,084 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-05-15 02:23:15,399 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 02:23:15,466 - pyskl - INFO - +top1_acc 0.8885 +top5_acc 0.9836 +2025-05-15 02:23:15,469 - pyskl - INFO - Epoch(val) [112][1031] top1_acc: 0.8885, top5_acc: 0.9836 +2025-05-15 02:24:20,781 - pyskl - INFO - Epoch [113][100/2506] lr: 3.747e-03, eta: 11:13:14, time: 0.653, data_time: 0.246, memory: 10841, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 1.5960, loss: 1.5960 +2025-05-15 02:25:00,754 - pyskl - INFO - Epoch [113][200/2506] lr: 3.739e-03, eta: 11:12:31, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.5816, loss: 1.5816 +2025-05-15 02:25:41,117 - pyskl - INFO - Epoch [113][300/2506] lr: 3.732e-03, eta: 11:11:48, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.5969, loss: 1.5969 +2025-05-15 02:26:22,014 - pyskl - INFO - Epoch [113][400/2506] lr: 3.724e-03, eta: 11:11:05, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.5677, loss: 1.5677 +2025-05-15 02:27:02,812 - pyskl - INFO - Epoch [113][500/2506] lr: 3.717e-03, eta: 11:10:22, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 1.5820, loss: 1.5820 +2025-05-15 02:27:44,629 - pyskl - INFO - Epoch [113][600/2506] lr: 3.710e-03, eta: 11:09:39, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 1.6295, loss: 1.6295 +2025-05-15 02:28:26,476 - pyskl - INFO - Epoch [113][700/2506] lr: 3.702e-03, eta: 11:08:56, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 1.6323, loss: 1.6323 +2025-05-15 02:29:08,188 - pyskl - INFO - Epoch [113][800/2506] lr: 3.695e-03, eta: 11:08:14, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.5099, loss: 1.5099 +2025-05-15 02:29:48,769 - pyskl - INFO - Epoch [113][900/2506] lr: 3.687e-03, eta: 11:07:30, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.5065, loss: 1.5065 +2025-05-15 02:30:30,448 - pyskl - INFO - Epoch [113][1000/2506] lr: 3.680e-03, eta: 11:06:48, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.6293, loss: 1.6293 +2025-05-15 02:31:12,166 - pyskl - INFO - Epoch [113][1100/2506] lr: 3.673e-03, eta: 11:06:05, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 1.6117, loss: 1.6117 +2025-05-15 02:31:53,659 - pyskl - INFO - Epoch [113][1200/2506] lr: 3.665e-03, eta: 11:05:22, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.5733, loss: 1.5733 +2025-05-15 02:32:35,068 - pyskl - INFO - Epoch [113][1300/2506] lr: 3.658e-03, eta: 11:04:39, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 1.6159, loss: 1.6159 +2025-05-15 02:33:16,051 - pyskl - INFO - Epoch [113][1400/2506] lr: 3.650e-03, eta: 11:03:56, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.5639, loss: 1.5639 +2025-05-15 02:33:57,464 - pyskl - INFO - Epoch [113][1500/2506] lr: 3.643e-03, eta: 11:03:14, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 1.5878, loss: 1.5878 +2025-05-15 02:34:37,844 - pyskl - INFO - Epoch [113][1600/2506] lr: 3.636e-03, eta: 11:02:31, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 1.6435, loss: 1.6435 +2025-05-15 02:35:17,974 - pyskl - INFO - Epoch [113][1700/2506] lr: 3.628e-03, eta: 11:01:47, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 1.6543, loss: 1.6543 +2025-05-15 02:35:59,479 - pyskl - INFO - Epoch [113][1800/2506] lr: 3.621e-03, eta: 11:01:05, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 1.6435, loss: 1.6435 +2025-05-15 02:36:40,074 - pyskl - INFO - Epoch [113][1900/2506] lr: 3.614e-03, eta: 11:00:21, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9663, top5_acc: 0.9956, loss_cls: 1.6304, loss: 1.6304 +2025-05-15 02:37:20,064 - pyskl - INFO - Epoch [113][2000/2506] lr: 3.606e-03, eta: 10:59:38, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 1.5657, loss: 1.5657 +2025-05-15 02:38:01,445 - pyskl - INFO - Epoch [113][2100/2506] lr: 3.599e-03, eta: 10:58:55, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 1.6110, loss: 1.6110 +2025-05-15 02:38:42,423 - pyskl - INFO - Epoch [113][2200/2506] lr: 3.592e-03, eta: 10:58:12, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9637, top5_acc: 0.9962, loss_cls: 1.6711, loss: 1.6711 +2025-05-15 02:39:24,005 - pyskl - INFO - Epoch [113][2300/2506] lr: 3.584e-03, eta: 10:57:30, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.6643, loss: 1.6643 +2025-05-15 02:40:05,801 - pyskl - INFO - Epoch [113][2400/2506] lr: 3.577e-03, eta: 10:56:47, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 1.6476, loss: 1.6476 +2025-05-15 02:40:46,008 - pyskl - INFO - Epoch [113][2500/2506] lr: 3.570e-03, eta: 10:56:04, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 1.6120, loss: 1.6120 +2025-05-15 02:40:49,044 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-05-15 02:42:00,889 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 02:42:00,954 - pyskl - INFO - +top1_acc 0.8993 +top5_acc 0.9842 +2025-05-15 02:42:01,017 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_106.pth was removed +2025-05-15 02:42:02,273 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. +2025-05-15 02:42:02,274 - pyskl - INFO - Best top1_acc is 0.8993 at 113 epoch. +2025-05-15 02:42:02,276 - pyskl - INFO - Epoch(val) [113][1031] top1_acc: 0.8993, top5_acc: 0.9842 +2025-05-15 02:43:08,338 - pyskl - INFO - Epoch [114][100/2506] lr: 3.562e-03, eta: 10:55:26, time: 0.661, data_time: 0.255, memory: 10841, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 1.5340, loss: 1.5340 +2025-05-15 02:43:48,547 - pyskl - INFO - Epoch [114][200/2506] lr: 3.555e-03, eta: 10:54:43, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.4592, loss: 1.4592 +2025-05-15 02:44:28,760 - pyskl - INFO - Epoch [114][300/2506] lr: 3.547e-03, eta: 10:53:59, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 1.5566, loss: 1.5566 +2025-05-15 02:45:09,113 - pyskl - INFO - Epoch [114][400/2506] lr: 3.540e-03, eta: 10:53:16, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.5814, loss: 1.5814 +2025-05-15 02:45:49,107 - pyskl - INFO - Epoch [114][500/2506] lr: 3.533e-03, eta: 10:52:33, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 1.4964, loss: 1.4964 +2025-05-15 02:46:28,860 - pyskl - INFO - Epoch [114][600/2506] lr: 3.525e-03, eta: 10:51:50, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.5221, loss: 1.5221 +2025-05-15 02:47:08,991 - pyskl - INFO - Epoch [114][700/2506] lr: 3.518e-03, eta: 10:51:06, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 1.6094, loss: 1.6094 +2025-05-15 02:47:48,692 - pyskl - INFO - Epoch [114][800/2506] lr: 3.511e-03, eta: 10:50:23, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 1.5175, loss: 1.5175 +2025-05-15 02:48:28,510 - pyskl - INFO - Epoch [114][900/2506] lr: 3.504e-03, eta: 10:49:40, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 1.5514, loss: 1.5514 +2025-05-15 02:49:08,744 - pyskl - INFO - Epoch [114][1000/2506] lr: 3.496e-03, eta: 10:48:57, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 1.5978, loss: 1.5978 +2025-05-15 02:49:49,918 - pyskl - INFO - Epoch [114][1100/2506] lr: 3.489e-03, eta: 10:48:14, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 1.6247, loss: 1.6247 +2025-05-15 02:50:30,700 - pyskl - INFO - Epoch [114][1200/2506] lr: 3.482e-03, eta: 10:47:31, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 1.6300, loss: 1.6300 +2025-05-15 02:51:11,356 - pyskl - INFO - Epoch [114][1300/2506] lr: 3.475e-03, eta: 10:46:48, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 1.5854, loss: 1.5854 +2025-05-15 02:51:52,493 - pyskl - INFO - Epoch [114][1400/2506] lr: 3.467e-03, eta: 10:46:05, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 1.5849, loss: 1.5849 +2025-05-15 02:52:33,891 - pyskl - INFO - Epoch [114][1500/2506] lr: 3.460e-03, eta: 10:45:22, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 1.5659, loss: 1.5659 +2025-05-15 02:53:14,431 - pyskl - INFO - Epoch [114][1600/2506] lr: 3.453e-03, eta: 10:44:39, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 1.6357, loss: 1.6357 +2025-05-15 02:53:55,094 - pyskl - INFO - Epoch [114][1700/2506] lr: 3.446e-03, eta: 10:43:56, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.6097, loss: 1.6097 +2025-05-15 02:54:35,836 - pyskl - INFO - Epoch [114][1800/2506] lr: 3.439e-03, eta: 10:43:13, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 1.5683, loss: 1.5683 +2025-05-15 02:55:16,214 - pyskl - INFO - Epoch [114][1900/2506] lr: 3.431e-03, eta: 10:42:30, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 1.5893, loss: 1.5893 +2025-05-15 02:55:57,320 - pyskl - INFO - Epoch [114][2000/2506] lr: 3.424e-03, eta: 10:41:47, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 1.6355, loss: 1.6355 +2025-05-15 02:56:38,899 - pyskl - INFO - Epoch [114][2100/2506] lr: 3.417e-03, eta: 10:41:04, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 1.6008, loss: 1.6008 +2025-05-15 02:57:20,622 - pyskl - INFO - Epoch [114][2200/2506] lr: 3.410e-03, eta: 10:40:22, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 1.6976, loss: 1.6976 +2025-05-15 02:58:02,020 - pyskl - INFO - Epoch [114][2300/2506] lr: 3.403e-03, eta: 10:39:39, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.5878, loss: 1.5878 +2025-05-15 02:58:44,212 - pyskl - INFO - Epoch [114][2400/2506] lr: 3.396e-03, eta: 10:38:56, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.6104, loss: 1.6104 +2025-05-15 02:59:25,773 - pyskl - INFO - Epoch [114][2500/2506] lr: 3.388e-03, eta: 10:38:14, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.5525, loss: 1.5525 +2025-05-15 02:59:28,929 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-05-15 03:00:40,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 03:00:40,348 - pyskl - INFO - +top1_acc 0.8976 +top5_acc 0.9845 +2025-05-15 03:00:40,350 - pyskl - INFO - Epoch(val) [114][1031] top1_acc: 0.8976, top5_acc: 0.9845 +2025-05-15 03:01:44,523 - pyskl - INFO - Epoch [115][100/2506] lr: 3.381e-03, eta: 10:37:35, time: 0.642, data_time: 0.231, memory: 10841, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 1.4580, loss: 1.4580 +2025-05-15 03:02:24,895 - pyskl - INFO - Epoch [115][200/2506] lr: 3.374e-03, eta: 10:36:52, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 1.5390, loss: 1.5390 +2025-05-15 03:03:04,856 - pyskl - INFO - Epoch [115][300/2506] lr: 3.367e-03, eta: 10:36:08, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 1.5907, loss: 1.5907 +2025-05-15 03:03:45,458 - pyskl - INFO - Epoch [115][400/2506] lr: 3.359e-03, eta: 10:35:25, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.5366, loss: 1.5366 +2025-05-15 03:04:25,914 - pyskl - INFO - Epoch [115][500/2506] lr: 3.352e-03, eta: 10:34:42, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.4743, loss: 1.4743 +2025-05-15 03:05:06,468 - pyskl - INFO - Epoch [115][600/2506] lr: 3.345e-03, eta: 10:33:59, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.4722, loss: 1.4722 +2025-05-15 03:05:47,181 - pyskl - INFO - Epoch [115][700/2506] lr: 3.338e-03, eta: 10:33:16, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.6308, loss: 1.6308 +2025-05-15 03:06:27,464 - pyskl - INFO - Epoch [115][800/2506] lr: 3.331e-03, eta: 10:32:33, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.5384, loss: 1.5384 +2025-05-15 03:07:07,760 - pyskl - INFO - Epoch [115][900/2506] lr: 3.324e-03, eta: 10:31:50, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 1.5390, loss: 1.5390 +2025-05-15 03:07:49,270 - pyskl - INFO - Epoch [115][1000/2506] lr: 3.317e-03, eta: 10:31:07, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 1.5130, loss: 1.5130 +2025-05-15 03:08:28,892 - pyskl - INFO - Epoch [115][1100/2506] lr: 3.310e-03, eta: 10:30:24, time: 0.396, data_time: 0.000, memory: 10841, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 1.5167, loss: 1.5167 +2025-05-15 03:09:09,283 - pyskl - INFO - Epoch [115][1200/2506] lr: 3.303e-03, eta: 10:29:41, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 1.6112, loss: 1.6112 +2025-05-15 03:09:49,484 - pyskl - INFO - Epoch [115][1300/2506] lr: 3.296e-03, eta: 10:28:58, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.5385, loss: 1.5385 +2025-05-15 03:10:30,370 - pyskl - INFO - Epoch [115][1400/2506] lr: 3.288e-03, eta: 10:28:15, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.5146, loss: 1.5146 +2025-05-15 03:11:10,981 - pyskl - INFO - Epoch [115][1500/2506] lr: 3.281e-03, eta: 10:27:32, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.5363, loss: 1.5363 +2025-05-15 03:11:51,669 - pyskl - INFO - Epoch [115][1600/2506] lr: 3.274e-03, eta: 10:26:49, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.5316, loss: 1.5316 +2025-05-15 03:12:32,061 - pyskl - INFO - Epoch [115][1700/2506] lr: 3.267e-03, eta: 10:26:06, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.5605, loss: 1.5605 +2025-05-15 03:13:12,975 - pyskl - INFO - Epoch [115][1800/2506] lr: 3.260e-03, eta: 10:25:23, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 1.5628, loss: 1.5628 +2025-05-15 03:13:53,880 - pyskl - INFO - Epoch [115][1900/2506] lr: 3.253e-03, eta: 10:24:40, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 1.6072, loss: 1.6072 +2025-05-15 03:14:35,160 - pyskl - INFO - Epoch [115][2000/2506] lr: 3.246e-03, eta: 10:23:57, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 1.5503, loss: 1.5503 +2025-05-15 03:15:16,065 - pyskl - INFO - Epoch [115][2100/2506] lr: 3.239e-03, eta: 10:23:14, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 1.5994, loss: 1.5994 +2025-05-15 03:15:57,130 - pyskl - INFO - Epoch [115][2200/2506] lr: 3.232e-03, eta: 10:22:31, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 1.5639, loss: 1.5639 +2025-05-15 03:16:38,293 - pyskl - INFO - Epoch [115][2300/2506] lr: 3.225e-03, eta: 10:21:48, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 1.5441, loss: 1.5441 +2025-05-15 03:17:20,260 - pyskl - INFO - Epoch [115][2400/2506] lr: 3.218e-03, eta: 10:21:06, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.4908, loss: 1.4908 +2025-05-15 03:18:01,784 - pyskl - INFO - Epoch [115][2500/2506] lr: 3.211e-03, eta: 10:20:23, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 1.5919, loss: 1.5919 +2025-05-15 03:18:04,924 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-05-15 03:19:16,941 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 03:19:17,044 - pyskl - INFO - +top1_acc 0.9003 +top5_acc 0.9861 +2025-05-15 03:19:17,161 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_113.pth was removed +2025-05-15 03:19:18,462 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. +2025-05-15 03:19:18,462 - pyskl - INFO - Best top1_acc is 0.9003 at 115 epoch. +2025-05-15 03:19:18,465 - pyskl - INFO - Epoch(val) [115][1031] top1_acc: 0.9003, top5_acc: 0.9861 +2025-05-15 03:20:26,860 - pyskl - INFO - Epoch [116][100/2506] lr: 3.204e-03, eta: 10:19:45, time: 0.684, data_time: 0.266, memory: 10841, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.4946, loss: 1.4946 +2025-05-15 03:21:07,574 - pyskl - INFO - Epoch [116][200/2506] lr: 3.197e-03, eta: 10:19:02, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 1.5040, loss: 1.5040 +2025-05-15 03:21:47,562 - pyskl - INFO - Epoch [116][300/2506] lr: 3.190e-03, eta: 10:18:19, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.4506, loss: 1.4506 +2025-05-15 03:22:28,453 - pyskl - INFO - Epoch [116][400/2506] lr: 3.183e-03, eta: 10:17:36, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.4475, loss: 1.4475 +2025-05-15 03:23:09,676 - pyskl - INFO - Epoch [116][500/2506] lr: 3.176e-03, eta: 10:16:53, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.4991, loss: 1.4991 +2025-05-15 03:23:50,238 - pyskl - INFO - Epoch [116][600/2506] lr: 3.169e-03, eta: 10:16:10, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.5128, loss: 1.5128 +2025-05-15 03:24:31,655 - pyskl - INFO - Epoch [116][700/2506] lr: 3.162e-03, eta: 10:15:28, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.4547, loss: 1.4547 +2025-05-15 03:25:12,317 - pyskl - INFO - Epoch [116][800/2506] lr: 3.155e-03, eta: 10:14:45, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.4748, loss: 1.4748 +2025-05-15 03:25:52,972 - pyskl - INFO - Epoch [116][900/2506] lr: 3.148e-03, eta: 10:14:02, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.5149, loss: 1.5149 +2025-05-15 03:26:33,198 - pyskl - INFO - Epoch [116][1000/2506] lr: 3.141e-03, eta: 10:13:19, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 1.5175, loss: 1.5175 +2025-05-15 03:27:14,500 - pyskl - INFO - Epoch [116][1100/2506] lr: 3.134e-03, eta: 10:12:36, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 1.5657, loss: 1.5657 +2025-05-15 03:27:54,630 - pyskl - INFO - Epoch [116][1200/2506] lr: 3.127e-03, eta: 10:11:53, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 1.5447, loss: 1.5447 +2025-05-15 03:28:36,370 - pyskl - INFO - Epoch [116][1300/2506] lr: 3.120e-03, eta: 10:11:10, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.5319, loss: 1.5319 +2025-05-15 03:29:18,276 - pyskl - INFO - Epoch [116][1400/2506] lr: 3.114e-03, eta: 10:10:27, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.5259, loss: 1.5259 +2025-05-15 03:29:59,772 - pyskl - INFO - Epoch [116][1500/2506] lr: 3.107e-03, eta: 10:09:45, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 1.5025, loss: 1.5025 +2025-05-15 03:30:40,485 - pyskl - INFO - Epoch [116][1600/2506] lr: 3.100e-03, eta: 10:09:02, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 1.5801, loss: 1.5801 +2025-05-15 03:31:21,570 - pyskl - INFO - Epoch [116][1700/2506] lr: 3.093e-03, eta: 10:08:19, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 1.4901, loss: 1.4901 +2025-05-15 03:32:02,700 - pyskl - INFO - Epoch [116][1800/2506] lr: 3.086e-03, eta: 10:07:36, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.4798, loss: 1.4798 +2025-05-15 03:32:44,151 - pyskl - INFO - Epoch [116][1900/2506] lr: 3.079e-03, eta: 10:06:53, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.5444, loss: 1.5444 +2025-05-15 03:33:24,804 - pyskl - INFO - Epoch [116][2000/2506] lr: 3.072e-03, eta: 10:06:10, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 1.5028, loss: 1.5028 +2025-05-15 03:34:05,628 - pyskl - INFO - Epoch [116][2100/2506] lr: 3.065e-03, eta: 10:05:27, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.4636, loss: 1.4636 +2025-05-15 03:34:46,888 - pyskl - INFO - Epoch [116][2200/2506] lr: 3.059e-03, eta: 10:04:45, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.5471, loss: 1.5471 +2025-05-15 03:35:29,264 - pyskl - INFO - Epoch [116][2300/2506] lr: 3.052e-03, eta: 10:04:02, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 1.4953, loss: 1.4953 +2025-05-15 03:36:10,884 - pyskl - INFO - Epoch [116][2400/2506] lr: 3.045e-03, eta: 10:03:20, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.5847, loss: 1.5847 +2025-05-15 03:36:51,901 - pyskl - INFO - Epoch [116][2500/2506] lr: 3.038e-03, eta: 10:02:37, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 1.5178, loss: 1.5178 +2025-05-15 03:36:54,904 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-05-15 03:38:06,196 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 03:38:06,259 - pyskl - INFO - +top1_acc 0.9033 +top5_acc 0.9844 +2025-05-15 03:38:06,328 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_115.pth was removed +2025-05-15 03:38:07,562 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2025-05-15 03:38:07,563 - pyskl - INFO - Best top1_acc is 0.9033 at 116 epoch. +2025-05-15 03:38:07,566 - pyskl - INFO - Epoch(val) [116][1031] top1_acc: 0.9033, top5_acc: 0.9844 +2025-05-15 03:39:13,248 - pyskl - INFO - Epoch [117][100/2506] lr: 3.031e-03, eta: 10:01:58, time: 0.657, data_time: 0.241, memory: 10841, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.4591, loss: 1.4591 +2025-05-15 03:39:54,453 - pyskl - INFO - Epoch [117][200/2506] lr: 3.024e-03, eta: 10:01:15, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.5139, loss: 1.5139 +2025-05-15 03:40:35,524 - pyskl - INFO - Epoch [117][300/2506] lr: 3.017e-03, eta: 10:00:32, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 1.4631, loss: 1.4631 +2025-05-15 03:41:17,312 - pyskl - INFO - Epoch [117][400/2506] lr: 3.010e-03, eta: 9:59:50, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.4675, loss: 1.4675 +2025-05-15 03:41:58,654 - pyskl - INFO - Epoch [117][500/2506] lr: 3.004e-03, eta: 9:59:07, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 1.4816, loss: 1.4816 +2025-05-15 03:42:39,070 - pyskl - INFO - Epoch [117][600/2506] lr: 2.997e-03, eta: 9:58:24, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.4499, loss: 1.4499 +2025-05-15 03:43:20,413 - pyskl - INFO - Epoch [117][700/2506] lr: 2.990e-03, eta: 9:57:41, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.4303, loss: 1.4303 +2025-05-15 03:43:59,984 - pyskl - INFO - Epoch [117][800/2506] lr: 2.983e-03, eta: 9:56:58, time: 0.396, data_time: 0.000, memory: 10841, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 1.4896, loss: 1.4896 +2025-05-15 03:44:40,429 - pyskl - INFO - Epoch [117][900/2506] lr: 2.976e-03, eta: 9:56:15, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.4776, loss: 1.4776 +2025-05-15 03:45:21,160 - pyskl - INFO - Epoch [117][1000/2506] lr: 2.970e-03, eta: 9:55:32, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.4921, loss: 1.4921 +2025-05-15 03:46:02,972 - pyskl - INFO - Epoch [117][1100/2506] lr: 2.963e-03, eta: 9:54:49, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.5519, loss: 1.5519 +2025-05-15 03:46:43,606 - pyskl - INFO - Epoch [117][1200/2506] lr: 2.956e-03, eta: 9:54:06, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.4716, loss: 1.4716 +2025-05-15 03:47:24,132 - pyskl - INFO - Epoch [117][1300/2506] lr: 2.949e-03, eta: 9:53:23, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.4961, loss: 1.4961 +2025-05-15 03:48:05,420 - pyskl - INFO - Epoch [117][1400/2506] lr: 2.943e-03, eta: 9:52:40, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.4673, loss: 1.4673 +2025-05-15 03:48:46,361 - pyskl - INFO - Epoch [117][1500/2506] lr: 2.936e-03, eta: 9:51:58, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.4428, loss: 1.4428 +2025-05-15 03:49:27,448 - pyskl - INFO - Epoch [117][1600/2506] lr: 2.929e-03, eta: 9:51:15, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 1.4700, loss: 1.4700 +2025-05-15 03:50:07,634 - pyskl - INFO - Epoch [117][1700/2506] lr: 2.923e-03, eta: 9:50:32, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.5470, loss: 1.5470 +2025-05-15 03:50:48,585 - pyskl - INFO - Epoch [117][1800/2506] lr: 2.916e-03, eta: 9:49:49, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.4940, loss: 1.4940 +2025-05-15 03:51:30,288 - pyskl - INFO - Epoch [117][1900/2506] lr: 2.909e-03, eta: 9:49:06, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 1.5318, loss: 1.5318 +2025-05-15 03:52:11,339 - pyskl - INFO - Epoch [117][2000/2506] lr: 2.902e-03, eta: 9:48:23, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 1.5222, loss: 1.5222 +2025-05-15 03:52:52,021 - pyskl - INFO - Epoch [117][2100/2506] lr: 2.896e-03, eta: 9:47:40, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 1.4952, loss: 1.4952 +2025-05-15 03:53:32,305 - pyskl - INFO - Epoch [117][2200/2506] lr: 2.889e-03, eta: 9:46:57, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 1.5725, loss: 1.5725 +2025-05-15 03:54:12,918 - pyskl - INFO - Epoch [117][2300/2506] lr: 2.882e-03, eta: 9:46:15, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 1.6007, loss: 1.6007 +2025-05-15 03:54:54,449 - pyskl - INFO - Epoch [117][2400/2506] lr: 2.876e-03, eta: 9:45:32, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.5479, loss: 1.5479 +2025-05-15 03:55:35,573 - pyskl - INFO - Epoch [117][2500/2506] lr: 2.869e-03, eta: 9:44:49, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 1.5365, loss: 1.5365 +2025-05-15 03:55:38,636 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-05-15 03:56:50,080 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 03:56:50,148 - pyskl - INFO - +top1_acc 0.9084 +top5_acc 0.9860 +2025-05-15 03:56:50,214 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_116.pth was removed +2025-05-15 03:56:51,809 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. +2025-05-15 03:56:51,810 - pyskl - INFO - Best top1_acc is 0.9084 at 117 epoch. +2025-05-15 03:56:51,813 - pyskl - INFO - Epoch(val) [117][1031] top1_acc: 0.9084, top5_acc: 0.9860 +2025-05-15 03:57:57,762 - pyskl - INFO - Epoch [118][100/2506] lr: 2.862e-03, eta: 9:44:10, time: 0.659, data_time: 0.244, memory: 10841, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.5140, loss: 1.5140 +2025-05-15 03:58:39,228 - pyskl - INFO - Epoch [118][200/2506] lr: 2.855e-03, eta: 9:43:27, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3832, loss: 1.3832 +2025-05-15 03:59:19,947 - pyskl - INFO - Epoch [118][300/2506] lr: 2.849e-03, eta: 9:42:44, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.4849, loss: 1.4849 +2025-05-15 04:00:01,041 - pyskl - INFO - Epoch [118][400/2506] lr: 2.842e-03, eta: 9:42:02, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 1.5074, loss: 1.5074 +2025-05-15 04:00:41,039 - pyskl - INFO - Epoch [118][500/2506] lr: 2.835e-03, eta: 9:41:18, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 1.4311, loss: 1.4311 +2025-05-15 04:01:20,652 - pyskl - INFO - Epoch [118][600/2506] lr: 2.829e-03, eta: 9:40:35, time: 0.396, data_time: 0.000, memory: 10841, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.4111, loss: 1.4111 +2025-05-15 04:01:59,938 - pyskl - INFO - Epoch [118][700/2506] lr: 2.822e-03, eta: 9:39:52, time: 0.393, data_time: 0.000, memory: 10841, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 1.4361, loss: 1.4361 +2025-05-15 04:02:39,428 - pyskl - INFO - Epoch [118][800/2506] lr: 2.816e-03, eta: 9:39:09, time: 0.395, data_time: 0.000, memory: 10841, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.4294, loss: 1.4294 +2025-05-15 04:03:20,253 - pyskl - INFO - Epoch [118][900/2506] lr: 2.809e-03, eta: 9:38:26, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 1.3831, loss: 1.3831 +2025-05-15 04:04:00,980 - pyskl - INFO - Epoch [118][1000/2506] lr: 2.802e-03, eta: 9:37:43, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.4071, loss: 1.4071 +2025-05-15 04:04:41,399 - pyskl - INFO - Epoch [118][1100/2506] lr: 2.796e-03, eta: 9:37:00, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.4097, loss: 1.4097 +2025-05-15 04:05:21,799 - pyskl - INFO - Epoch [118][1200/2506] lr: 2.789e-03, eta: 9:36:17, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.4657, loss: 1.4657 +2025-05-15 04:06:01,958 - pyskl - INFO - Epoch [118][1300/2506] lr: 2.783e-03, eta: 9:35:34, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.4942, loss: 1.4942 +2025-05-15 04:06:41,840 - pyskl - INFO - Epoch [118][1400/2506] lr: 2.776e-03, eta: 9:34:51, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.4486, loss: 1.4486 +2025-05-15 04:07:21,692 - pyskl - INFO - Epoch [118][1500/2506] lr: 2.770e-03, eta: 9:34:08, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 1.4605, loss: 1.4605 +2025-05-15 04:08:02,993 - pyskl - INFO - Epoch [118][1600/2506] lr: 2.763e-03, eta: 9:33:25, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.4380, loss: 1.4380 +2025-05-15 04:08:45,096 - pyskl - INFO - Epoch [118][1700/2506] lr: 2.756e-03, eta: 9:32:42, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.5116, loss: 1.5116 +2025-05-15 04:09:26,843 - pyskl - INFO - Epoch [118][1800/2506] lr: 2.750e-03, eta: 9:32:00, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.4560, loss: 1.4560 +2025-05-15 04:10:07,139 - pyskl - INFO - Epoch [118][1900/2506] lr: 2.743e-03, eta: 9:31:17, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.5133, loss: 1.5133 +2025-05-15 04:10:48,680 - pyskl - INFO - Epoch [118][2000/2506] lr: 2.737e-03, eta: 9:30:34, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.4566, loss: 1.4566 +2025-05-15 04:11:30,181 - pyskl - INFO - Epoch [118][2100/2506] lr: 2.730e-03, eta: 9:29:51, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 1.5398, loss: 1.5398 +2025-05-15 04:12:11,076 - pyskl - INFO - Epoch [118][2200/2506] lr: 2.724e-03, eta: 9:29:09, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.4569, loss: 1.4569 +2025-05-15 04:12:52,971 - pyskl - INFO - Epoch [118][2300/2506] lr: 2.717e-03, eta: 9:28:26, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.4789, loss: 1.4789 +2025-05-15 04:13:34,357 - pyskl - INFO - Epoch [118][2400/2506] lr: 2.711e-03, eta: 9:27:43, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.4591, loss: 1.4591 +2025-05-15 04:14:16,060 - pyskl - INFO - Epoch [118][2500/2506] lr: 2.704e-03, eta: 9:27:01, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.4950, loss: 1.4950 +2025-05-15 04:14:19,229 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-05-15 04:15:31,225 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 04:15:31,290 - pyskl - INFO - +top1_acc 0.8887 +top5_acc 0.9835 +2025-05-15 04:15:31,293 - pyskl - INFO - Epoch(val) [118][1031] top1_acc: 0.8887, top5_acc: 0.9835 +2025-05-15 04:16:40,304 - pyskl - INFO - Epoch [119][100/2506] lr: 2.697e-03, eta: 9:26:22, time: 0.690, data_time: 0.275, memory: 10841, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.4382, loss: 1.4382 +2025-05-15 04:17:20,471 - pyskl - INFO - Epoch [119][200/2506] lr: 2.691e-03, eta: 9:25:39, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 1.4063, loss: 1.4063 +2025-05-15 04:18:01,740 - pyskl - INFO - Epoch [119][300/2506] lr: 2.684e-03, eta: 9:24:56, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 1.4531, loss: 1.4531 +2025-05-15 04:18:42,827 - pyskl - INFO - Epoch [119][400/2506] lr: 2.678e-03, eta: 9:24:14, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.3674, loss: 1.3674 +2025-05-15 04:19:23,792 - pyskl - INFO - Epoch [119][500/2506] lr: 2.672e-03, eta: 9:23:31, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.4416, loss: 1.4416 +2025-05-15 04:20:05,249 - pyskl - INFO - Epoch [119][600/2506] lr: 2.665e-03, eta: 9:22:48, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.4880, loss: 1.4880 +2025-05-15 04:20:46,086 - pyskl - INFO - Epoch [119][700/2506] lr: 2.659e-03, eta: 9:22:05, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.4220, loss: 1.4220 +2025-05-15 04:21:26,597 - pyskl - INFO - Epoch [119][800/2506] lr: 2.652e-03, eta: 9:21:22, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.4699, loss: 1.4699 +2025-05-15 04:22:06,195 - pyskl - INFO - Epoch [119][900/2506] lr: 2.646e-03, eta: 9:20:39, time: 0.396, data_time: 0.000, memory: 10841, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.4326, loss: 1.4326 +2025-05-15 04:22:46,980 - pyskl - INFO - Epoch [119][1000/2506] lr: 2.639e-03, eta: 9:19:56, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3376, loss: 1.3376 +2025-05-15 04:23:26,974 - pyskl - INFO - Epoch [119][1100/2506] lr: 2.633e-03, eta: 9:19:13, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.4206, loss: 1.4206 +2025-05-15 04:24:07,556 - pyskl - INFO - Epoch [119][1200/2506] lr: 2.627e-03, eta: 9:18:30, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.3978, loss: 1.3978 +2025-05-15 04:24:47,820 - pyskl - INFO - Epoch [119][1300/2506] lr: 2.620e-03, eta: 9:17:47, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 1.5105, loss: 1.5105 +2025-05-15 04:25:27,773 - pyskl - INFO - Epoch [119][1400/2506] lr: 2.614e-03, eta: 9:17:04, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 1.4954, loss: 1.4954 +2025-05-15 04:26:07,533 - pyskl - INFO - Epoch [119][1500/2506] lr: 2.607e-03, eta: 9:16:21, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 1.4766, loss: 1.4766 +2025-05-15 04:26:48,060 - pyskl - INFO - Epoch [119][1600/2506] lr: 2.601e-03, eta: 9:15:38, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 1.4292, loss: 1.4292 +2025-05-15 04:27:28,496 - pyskl - INFO - Epoch [119][1700/2506] lr: 2.595e-03, eta: 9:14:55, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.4834, loss: 1.4834 +2025-05-15 04:28:09,878 - pyskl - INFO - Epoch [119][1800/2506] lr: 2.588e-03, eta: 9:14:13, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 1.4806, loss: 1.4806 +2025-05-15 04:28:50,833 - pyskl - INFO - Epoch [119][1900/2506] lr: 2.582e-03, eta: 9:13:30, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.5046, loss: 1.5046 +2025-05-15 04:29:31,160 - pyskl - INFO - Epoch [119][2000/2506] lr: 2.575e-03, eta: 9:12:47, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.5176, loss: 1.5176 +2025-05-15 04:30:12,954 - pyskl - INFO - Epoch [119][2100/2506] lr: 2.569e-03, eta: 9:12:04, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.4498, loss: 1.4498 +2025-05-15 04:30:54,390 - pyskl - INFO - Epoch [119][2200/2506] lr: 2.563e-03, eta: 9:11:21, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.4298, loss: 1.4298 +2025-05-15 04:31:36,066 - pyskl - INFO - Epoch [119][2300/2506] lr: 2.556e-03, eta: 9:10:39, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 1.4656, loss: 1.4656 +2025-05-15 04:32:17,651 - pyskl - INFO - Epoch [119][2400/2506] lr: 2.550e-03, eta: 9:09:56, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 1.4919, loss: 1.4919 +2025-05-15 04:32:59,163 - pyskl - INFO - Epoch [119][2500/2506] lr: 2.544e-03, eta: 9:09:14, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.4754, loss: 1.4754 +2025-05-15 04:33:02,284 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-05-15 04:34:13,458 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 04:34:13,522 - pyskl - INFO - +top1_acc 0.9000 +top5_acc 0.9844 +2025-05-15 04:34:13,525 - pyskl - INFO - Epoch(val) [119][1031] top1_acc: 0.9000, top5_acc: 0.9844 +2025-05-15 04:35:20,583 - pyskl - INFO - Epoch [120][100/2506] lr: 2.537e-03, eta: 9:08:34, time: 0.671, data_time: 0.265, memory: 10841, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3987, loss: 1.3987 +2025-05-15 04:36:01,385 - pyskl - INFO - Epoch [120][200/2506] lr: 2.531e-03, eta: 9:07:52, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.3771, loss: 1.3771 +2025-05-15 04:36:42,339 - pyskl - INFO - Epoch [120][300/2506] lr: 2.525e-03, eta: 9:07:09, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.4517, loss: 1.4517 +2025-05-15 04:37:23,464 - pyskl - INFO - Epoch [120][400/2506] lr: 2.518e-03, eta: 9:06:26, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.4293, loss: 1.4293 +2025-05-15 04:38:03,124 - pyskl - INFO - Epoch [120][500/2506] lr: 2.512e-03, eta: 9:05:43, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.4768, loss: 1.4768 +2025-05-15 04:38:43,548 - pyskl - INFO - Epoch [120][600/2506] lr: 2.506e-03, eta: 9:05:00, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3656, loss: 1.3656 +2025-05-15 04:39:24,019 - pyskl - INFO - Epoch [120][700/2506] lr: 2.499e-03, eta: 9:04:17, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.4038, loss: 1.4038 +2025-05-15 04:40:04,191 - pyskl - INFO - Epoch [120][800/2506] lr: 2.493e-03, eta: 9:03:34, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.5185, loss: 1.5185 +2025-05-15 04:40:43,897 - pyskl - INFO - Epoch [120][900/2506] lr: 2.487e-03, eta: 9:02:51, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.4135, loss: 1.4135 +2025-05-15 04:41:24,345 - pyskl - INFO - Epoch [120][1000/2506] lr: 2.481e-03, eta: 9:02:08, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.4205, loss: 1.4205 +2025-05-15 04:42:06,034 - pyskl - INFO - Epoch [120][1100/2506] lr: 2.474e-03, eta: 9:01:25, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.4138, loss: 1.4138 +2025-05-15 04:42:47,264 - pyskl - INFO - Epoch [120][1200/2506] lr: 2.468e-03, eta: 9:00:43, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.4181, loss: 1.4181 +2025-05-15 04:43:29,009 - pyskl - INFO - Epoch [120][1300/2506] lr: 2.462e-03, eta: 9:00:00, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.4472, loss: 1.4472 +2025-05-15 04:44:09,660 - pyskl - INFO - Epoch [120][1400/2506] lr: 2.456e-03, eta: 8:59:17, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.3743, loss: 1.3743 +2025-05-15 04:44:50,297 - pyskl - INFO - Epoch [120][1500/2506] lr: 2.449e-03, eta: 8:58:34, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.4086, loss: 1.4086 +2025-05-15 04:45:30,905 - pyskl - INFO - Epoch [120][1600/2506] lr: 2.443e-03, eta: 8:57:51, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.3828, loss: 1.3828 +2025-05-15 04:46:12,832 - pyskl - INFO - Epoch [120][1700/2506] lr: 2.437e-03, eta: 8:57:09, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.3843, loss: 1.3843 +2025-05-15 04:46:54,670 - pyskl - INFO - Epoch [120][1800/2506] lr: 2.431e-03, eta: 8:56:26, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.4224, loss: 1.4224 +2025-05-15 04:47:36,133 - pyskl - INFO - Epoch [120][1900/2506] lr: 2.425e-03, eta: 8:55:44, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.4015, loss: 1.4015 +2025-05-15 04:48:17,199 - pyskl - INFO - Epoch [120][2000/2506] lr: 2.419e-03, eta: 8:55:01, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.4413, loss: 1.4413 +2025-05-15 04:48:58,244 - pyskl - INFO - Epoch [120][2100/2506] lr: 2.412e-03, eta: 8:54:18, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.4629, loss: 1.4629 +2025-05-15 04:49:39,914 - pyskl - INFO - Epoch [120][2200/2506] lr: 2.406e-03, eta: 8:53:36, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.5117, loss: 1.5117 +2025-05-15 04:50:21,241 - pyskl - INFO - Epoch [120][2300/2506] lr: 2.400e-03, eta: 8:52:53, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.4286, loss: 1.4286 +2025-05-15 04:51:01,760 - pyskl - INFO - Epoch [120][2400/2506] lr: 2.394e-03, eta: 8:52:10, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.4356, loss: 1.4356 +2025-05-15 04:51:42,551 - pyskl - INFO - Epoch [120][2500/2506] lr: 2.388e-03, eta: 8:51:27, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.4351, loss: 1.4351 +2025-05-15 04:51:45,762 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-05-15 04:52:58,495 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 04:52:58,571 - pyskl - INFO - +top1_acc 0.9010 +top5_acc 0.9853 +2025-05-15 04:52:58,573 - pyskl - INFO - Epoch(val) [120][1031] top1_acc: 0.9010, top5_acc: 0.9853 +2025-05-15 04:54:04,706 - pyskl - INFO - Epoch [121][100/2506] lr: 2.381e-03, eta: 8:50:47, time: 0.661, data_time: 0.262, memory: 10841, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.4056, loss: 1.4056 +2025-05-15 04:54:45,700 - pyskl - INFO - Epoch [121][200/2506] lr: 2.375e-03, eta: 8:50:05, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.4140, loss: 1.4140 +2025-05-15 04:55:25,464 - pyskl - INFO - Epoch [121][300/2506] lr: 2.369e-03, eta: 8:49:22, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.4251, loss: 1.4251 +2025-05-15 04:56:05,538 - pyskl - INFO - Epoch [121][400/2506] lr: 2.363e-03, eta: 8:48:39, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3564, loss: 1.3564 +2025-05-15 04:56:46,428 - pyskl - INFO - Epoch [121][500/2506] lr: 2.357e-03, eta: 8:47:56, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.3867, loss: 1.3867 +2025-05-15 04:57:27,191 - pyskl - INFO - Epoch [121][600/2506] lr: 2.351e-03, eta: 8:47:13, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.4069, loss: 1.4069 +2025-05-15 04:58:08,909 - pyskl - INFO - Epoch [121][700/2506] lr: 2.345e-03, eta: 8:46:30, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.3586, loss: 1.3586 +2025-05-15 04:58:49,753 - pyskl - INFO - Epoch [121][800/2506] lr: 2.338e-03, eta: 8:45:48, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 1.3564, loss: 1.3564 +2025-05-15 04:59:30,490 - pyskl - INFO - Epoch [121][900/2506] lr: 2.332e-03, eta: 8:45:05, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.3972, loss: 1.3972 +2025-05-15 05:00:10,686 - pyskl - INFO - Epoch [121][1000/2506] lr: 2.326e-03, eta: 8:44:22, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.4276, loss: 1.4276 +2025-05-15 05:00:52,273 - pyskl - INFO - Epoch [121][1100/2506] lr: 2.320e-03, eta: 8:43:39, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.4521, loss: 1.4521 +2025-05-15 05:01:33,441 - pyskl - INFO - Epoch [121][1200/2506] lr: 2.314e-03, eta: 8:42:56, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.4024, loss: 1.4024 +2025-05-15 05:02:13,389 - pyskl - INFO - Epoch [121][1300/2506] lr: 2.308e-03, eta: 8:42:13, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.4295, loss: 1.4295 +2025-05-15 05:02:55,109 - pyskl - INFO - Epoch [121][1400/2506] lr: 2.302e-03, eta: 8:41:31, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.4659, loss: 1.4659 +2025-05-15 05:03:35,970 - pyskl - INFO - Epoch [121][1500/2506] lr: 2.296e-03, eta: 8:40:48, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.4366, loss: 1.4366 +2025-05-15 05:04:17,501 - pyskl - INFO - Epoch [121][1600/2506] lr: 2.290e-03, eta: 8:40:05, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.4105, loss: 1.4105 +2025-05-15 05:04:58,860 - pyskl - INFO - Epoch [121][1700/2506] lr: 2.284e-03, eta: 8:39:23, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.3580, loss: 1.3580 +2025-05-15 05:05:39,216 - pyskl - INFO - Epoch [121][1800/2506] lr: 2.278e-03, eta: 8:38:40, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.3927, loss: 1.3927 +2025-05-15 05:06:19,072 - pyskl - INFO - Epoch [121][1900/2506] lr: 2.272e-03, eta: 8:37:57, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 1.3835, loss: 1.3835 +2025-05-15 05:06:59,596 - pyskl - INFO - Epoch [121][2000/2506] lr: 2.266e-03, eta: 8:37:14, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 1.3798, loss: 1.3798 +2025-05-15 05:07:40,764 - pyskl - INFO - Epoch [121][2100/2506] lr: 2.260e-03, eta: 8:36:31, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.4251, loss: 1.4251 +2025-05-15 05:08:21,570 - pyskl - INFO - Epoch [121][2200/2506] lr: 2.254e-03, eta: 8:35:48, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.4008, loss: 1.4008 +2025-05-15 05:09:03,368 - pyskl - INFO - Epoch [121][2300/2506] lr: 2.248e-03, eta: 8:35:06, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.4108, loss: 1.4108 +2025-05-15 05:09:44,570 - pyskl - INFO - Epoch [121][2400/2506] lr: 2.242e-03, eta: 8:34:23, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.4241, loss: 1.4241 +2025-05-15 05:10:26,031 - pyskl - INFO - Epoch [121][2500/2506] lr: 2.236e-03, eta: 8:33:41, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.4902, loss: 1.4902 +2025-05-15 05:10:29,323 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-05-15 05:11:40,846 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 05:11:40,913 - pyskl - INFO - +top1_acc 0.9016 +top5_acc 0.9847 +2025-05-15 05:11:40,916 - pyskl - INFO - Epoch(val) [121][1031] top1_acc: 0.9016, top5_acc: 0.9847 +2025-05-15 05:12:49,541 - pyskl - INFO - Epoch [122][100/2506] lr: 2.230e-03, eta: 8:33:01, time: 0.686, data_time: 0.271, memory: 10841, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.4232, loss: 1.4232 +2025-05-15 05:13:30,920 - pyskl - INFO - Epoch [122][200/2506] lr: 2.224e-03, eta: 8:32:19, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3425, loss: 1.3425 +2025-05-15 05:14:12,381 - pyskl - INFO - Epoch [122][300/2506] lr: 2.218e-03, eta: 8:31:36, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.3849, loss: 1.3849 +2025-05-15 05:14:52,844 - pyskl - INFO - Epoch [122][400/2506] lr: 2.212e-03, eta: 8:30:53, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2992, loss: 1.2992 +2025-05-15 05:15:34,089 - pyskl - INFO - Epoch [122][500/2506] lr: 2.206e-03, eta: 8:30:10, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.3498, loss: 1.3498 +2025-05-15 05:16:15,566 - pyskl - INFO - Epoch [122][600/2506] lr: 2.200e-03, eta: 8:29:28, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.3192, loss: 1.3192 +2025-05-15 05:16:57,088 - pyskl - INFO - Epoch [122][700/2506] lr: 2.194e-03, eta: 8:28:45, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 1.3893, loss: 1.3893 +2025-05-15 05:17:37,676 - pyskl - INFO - Epoch [122][800/2506] lr: 2.188e-03, eta: 8:28:02, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.3302, loss: 1.3302 +2025-05-15 05:18:19,226 - pyskl - INFO - Epoch [122][900/2506] lr: 2.182e-03, eta: 8:27:20, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.4240, loss: 1.4240 +2025-05-15 05:19:00,549 - pyskl - INFO - Epoch [122][1000/2506] lr: 2.176e-03, eta: 8:26:37, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3413, loss: 1.3413 +2025-05-15 05:19:41,173 - pyskl - INFO - Epoch [122][1100/2506] lr: 2.171e-03, eta: 8:25:54, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.3951, loss: 1.3951 +2025-05-15 05:20:22,205 - pyskl - INFO - Epoch [122][1200/2506] lr: 2.165e-03, eta: 8:25:11, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3343, loss: 1.3343 +2025-05-15 05:21:02,553 - pyskl - INFO - Epoch [122][1300/2506] lr: 2.159e-03, eta: 8:24:29, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.3562, loss: 1.3562 +2025-05-15 05:21:43,186 - pyskl - INFO - Epoch [122][1400/2506] lr: 2.153e-03, eta: 8:23:46, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.3721, loss: 1.3721 +2025-05-15 05:22:24,633 - pyskl - INFO - Epoch [122][1500/2506] lr: 2.147e-03, eta: 8:23:03, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.3874, loss: 1.3874 +2025-05-15 05:23:05,791 - pyskl - INFO - Epoch [122][1600/2506] lr: 2.141e-03, eta: 8:22:20, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.3820, loss: 1.3820 +2025-05-15 05:23:47,493 - pyskl - INFO - Epoch [122][1700/2506] lr: 2.135e-03, eta: 8:21:38, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.3395, loss: 1.3395 +2025-05-15 05:24:28,278 - pyskl - INFO - Epoch [122][1800/2506] lr: 2.130e-03, eta: 8:20:55, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3359, loss: 1.3359 +2025-05-15 05:25:09,070 - pyskl - INFO - Epoch [122][1900/2506] lr: 2.124e-03, eta: 8:20:12, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.3489, loss: 1.3489 +2025-05-15 05:25:50,738 - pyskl - INFO - Epoch [122][2000/2506] lr: 2.118e-03, eta: 8:19:30, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3310, loss: 1.3310 +2025-05-15 05:26:32,000 - pyskl - INFO - Epoch [122][2100/2506] lr: 2.112e-03, eta: 8:18:47, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.3444, loss: 1.3444 +2025-05-15 05:27:12,840 - pyskl - INFO - Epoch [122][2200/2506] lr: 2.106e-03, eta: 8:18:04, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.3306, loss: 1.3306 +2025-05-15 05:27:54,059 - pyskl - INFO - Epoch [122][2300/2506] lr: 2.100e-03, eta: 8:17:22, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.4307, loss: 1.4307 +2025-05-15 05:28:35,252 - pyskl - INFO - Epoch [122][2400/2506] lr: 2.095e-03, eta: 8:16:39, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 1.3441, loss: 1.3441 +2025-05-15 05:29:16,061 - pyskl - INFO - Epoch [122][2500/2506] lr: 2.089e-03, eta: 8:15:56, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.3999, loss: 1.3999 +2025-05-15 05:29:19,389 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-05-15 05:30:32,104 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 05:30:32,204 - pyskl - INFO - +top1_acc 0.9065 +top5_acc 0.9861 +2025-05-15 05:30:32,209 - pyskl - INFO - Epoch(val) [122][1031] top1_acc: 0.9065, top5_acc: 0.9861 +2025-05-15 05:31:39,240 - pyskl - INFO - Epoch [123][100/2506] lr: 2.083e-03, eta: 8:15:16, time: 0.670, data_time: 0.259, memory: 10841, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3653, loss: 1.3653 +2025-05-15 05:32:20,176 - pyskl - INFO - Epoch [123][200/2506] lr: 2.077e-03, eta: 8:14:34, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 1.4185, loss: 1.4185 +2025-05-15 05:33:01,617 - pyskl - INFO - Epoch [123][300/2506] lr: 2.071e-03, eta: 8:13:51, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.3252, loss: 1.3252 +2025-05-15 05:33:42,716 - pyskl - INFO - Epoch [123][400/2506] lr: 2.065e-03, eta: 8:13:08, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3395, loss: 1.3395 +2025-05-15 05:34:24,416 - pyskl - INFO - Epoch [123][500/2506] lr: 2.060e-03, eta: 8:12:26, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3055, loss: 1.3055 +2025-05-15 05:35:06,098 - pyskl - INFO - Epoch [123][600/2506] lr: 2.054e-03, eta: 8:11:43, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3145, loss: 1.3145 +2025-05-15 05:35:46,537 - pyskl - INFO - Epoch [123][700/2506] lr: 2.048e-03, eta: 8:11:00, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.3363, loss: 1.3363 +2025-05-15 05:36:27,413 - pyskl - INFO - Epoch [123][800/2506] lr: 2.043e-03, eta: 8:10:17, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.3450, loss: 1.3450 +2025-05-15 05:37:09,104 - pyskl - INFO - Epoch [123][900/2506] lr: 2.037e-03, eta: 8:09:35, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3162, loss: 1.3162 +2025-05-15 05:37:50,677 - pyskl - INFO - Epoch [123][1000/2506] lr: 2.031e-03, eta: 8:08:52, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.3076, loss: 1.3076 +2025-05-15 05:38:30,618 - pyskl - INFO - Epoch [123][1100/2506] lr: 2.025e-03, eta: 8:08:09, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.3149, loss: 1.3149 +2025-05-15 05:39:11,158 - pyskl - INFO - Epoch [123][1200/2506] lr: 2.020e-03, eta: 8:07:26, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.3929, loss: 1.3929 +2025-05-15 05:39:51,863 - pyskl - INFO - Epoch [123][1300/2506] lr: 2.014e-03, eta: 8:06:44, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3610, loss: 1.3610 +2025-05-15 05:40:31,571 - pyskl - INFO - Epoch [123][1400/2506] lr: 2.008e-03, eta: 8:06:01, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.3488, loss: 1.3488 +2025-05-15 05:41:12,341 - pyskl - INFO - Epoch [123][1500/2506] lr: 2.003e-03, eta: 8:05:18, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.3582, loss: 1.3582 +2025-05-15 05:41:53,162 - pyskl - INFO - Epoch [123][1600/2506] lr: 1.997e-03, eta: 8:04:35, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.3119, loss: 1.3119 +2025-05-15 05:42:34,738 - pyskl - INFO - Epoch [123][1700/2506] lr: 1.991e-03, eta: 8:03:53, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.3515, loss: 1.3515 +2025-05-15 05:43:15,584 - pyskl - INFO - Epoch [123][1800/2506] lr: 1.986e-03, eta: 8:03:10, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.3197, loss: 1.3197 +2025-05-15 05:43:57,004 - pyskl - INFO - Epoch [123][1900/2506] lr: 1.980e-03, eta: 8:02:27, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.3545, loss: 1.3545 +2025-05-15 05:44:38,353 - pyskl - INFO - Epoch [123][2000/2506] lr: 1.974e-03, eta: 8:01:45, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3628, loss: 1.3628 +2025-05-15 05:45:19,223 - pyskl - INFO - Epoch [123][2100/2506] lr: 1.969e-03, eta: 8:01:02, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3242, loss: 1.3242 +2025-05-15 05:46:01,220 - pyskl - INFO - Epoch [123][2200/2506] lr: 1.963e-03, eta: 8:00:19, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2639, loss: 1.2639 +2025-05-15 05:46:42,896 - pyskl - INFO - Epoch [123][2300/2506] lr: 1.958e-03, eta: 7:59:37, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3576, loss: 1.3576 +2025-05-15 05:47:23,855 - pyskl - INFO - Epoch [123][2400/2506] lr: 1.952e-03, eta: 7:58:54, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3651, loss: 1.3651 +2025-05-15 05:48:05,455 - pyskl - INFO - Epoch [123][2500/2506] lr: 1.946e-03, eta: 7:58:11, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.3148, loss: 1.3148 +2025-05-15 05:48:08,561 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-05-15 05:49:21,586 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 05:49:21,682 - pyskl - INFO - +top1_acc 0.8972 +top5_acc 0.9852 +2025-05-15 05:49:21,686 - pyskl - INFO - Epoch(val) [123][1031] top1_acc: 0.8972, top5_acc: 0.9852 +2025-05-15 05:50:30,353 - pyskl - INFO - Epoch [124][100/2506] lr: 1.940e-03, eta: 7:57:32, time: 0.687, data_time: 0.286, memory: 10841, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.3016, loss: 1.3016 +2025-05-15 05:51:10,865 - pyskl - INFO - Epoch [124][200/2506] lr: 1.935e-03, eta: 7:56:49, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3541, loss: 1.3541 +2025-05-15 05:51:51,414 - pyskl - INFO - Epoch [124][300/2506] lr: 1.929e-03, eta: 7:56:06, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2876, loss: 1.2876 +2025-05-15 05:52:32,671 - pyskl - INFO - Epoch [124][400/2506] lr: 1.924e-03, eta: 7:55:23, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3425, loss: 1.3425 +2025-05-15 05:53:14,188 - pyskl - INFO - Epoch [124][500/2506] lr: 1.918e-03, eta: 7:54:41, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2641, loss: 1.2641 +2025-05-15 05:53:54,844 - pyskl - INFO - Epoch [124][600/2506] lr: 1.913e-03, eta: 7:53:58, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.3349, loss: 1.3349 +2025-05-15 05:54:36,379 - pyskl - INFO - Epoch [124][700/2506] lr: 1.907e-03, eta: 7:53:15, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.3952, loss: 1.3952 +2025-05-15 05:55:16,481 - pyskl - INFO - Epoch [124][800/2506] lr: 1.901e-03, eta: 7:52:33, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.3651, loss: 1.3651 +2025-05-15 05:55:56,398 - pyskl - INFO - Epoch [124][900/2506] lr: 1.896e-03, eta: 7:51:50, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.3225, loss: 1.3225 +2025-05-15 05:56:37,212 - pyskl - INFO - Epoch [124][1000/2506] lr: 1.890e-03, eta: 7:51:07, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3119, loss: 1.3119 +2025-05-15 05:57:17,671 - pyskl - INFO - Epoch [124][1100/2506] lr: 1.885e-03, eta: 7:50:24, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.3265, loss: 1.3265 +2025-05-15 05:57:58,167 - pyskl - INFO - Epoch [124][1200/2506] lr: 1.879e-03, eta: 7:49:41, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.3211, loss: 1.3211 +2025-05-15 05:58:38,888 - pyskl - INFO - Epoch [124][1300/2506] lr: 1.874e-03, eta: 7:48:58, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.3400, loss: 1.3400 +2025-05-15 05:59:19,766 - pyskl - INFO - Epoch [124][1400/2506] lr: 1.868e-03, eta: 7:48:16, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.3607, loss: 1.3607 +2025-05-15 06:00:00,805 - pyskl - INFO - Epoch [124][1500/2506] lr: 1.863e-03, eta: 7:47:33, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.3361, loss: 1.3361 +2025-05-15 06:00:42,468 - pyskl - INFO - Epoch [124][1600/2506] lr: 1.857e-03, eta: 7:46:50, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3000, loss: 1.3000 +2025-05-15 06:01:23,785 - pyskl - INFO - Epoch [124][1700/2506] lr: 1.852e-03, eta: 7:46:08, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.3566, loss: 1.3566 +2025-05-15 06:02:05,077 - pyskl - INFO - Epoch [124][1800/2506] lr: 1.846e-03, eta: 7:45:25, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3553, loss: 1.3553 +2025-05-15 06:02:45,204 - pyskl - INFO - Epoch [124][1900/2506] lr: 1.841e-03, eta: 7:44:42, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.2792, loss: 1.2792 +2025-05-15 06:03:26,569 - pyskl - INFO - Epoch [124][2000/2506] lr: 1.835e-03, eta: 7:44:00, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2869, loss: 1.2869 +2025-05-15 06:04:07,661 - pyskl - INFO - Epoch [124][2100/2506] lr: 1.830e-03, eta: 7:43:17, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.3538, loss: 1.3538 +2025-05-15 06:04:48,805 - pyskl - INFO - Epoch [124][2200/2506] lr: 1.825e-03, eta: 7:42:34, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.3430, loss: 1.3430 +2025-05-15 06:05:29,945 - pyskl - INFO - Epoch [124][2300/2506] lr: 1.819e-03, eta: 7:41:52, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2790, loss: 1.2790 +2025-05-15 06:06:09,945 - pyskl - INFO - Epoch [124][2400/2506] lr: 1.814e-03, eta: 7:41:09, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.3249, loss: 1.3249 +2025-05-15 06:06:50,464 - pyskl - INFO - Epoch [124][2500/2506] lr: 1.808e-03, eta: 7:40:26, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 1.3455, loss: 1.3455 +2025-05-15 06:06:53,618 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-05-15 06:08:04,505 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 06:08:04,574 - pyskl - INFO - +top1_acc 0.9131 +top5_acc 0.9864 +2025-05-15 06:08:04,639 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_117.pth was removed +2025-05-15 06:08:05,984 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. +2025-05-15 06:08:05,984 - pyskl - INFO - Best top1_acc is 0.9131 at 124 epoch. +2025-05-15 06:08:05,988 - pyskl - INFO - Epoch(val) [124][1031] top1_acc: 0.9131, top5_acc: 0.9864 +2025-05-15 06:09:13,438 - pyskl - INFO - Epoch [125][100/2506] lr: 1.803e-03, eta: 7:39:46, time: 0.674, data_time: 0.261, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2985, loss: 1.2985 +2025-05-15 06:09:53,328 - pyskl - INFO - Epoch [125][200/2506] lr: 1.797e-03, eta: 7:39:03, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2300, loss: 1.2300 +2025-05-15 06:10:33,446 - pyskl - INFO - Epoch [125][300/2506] lr: 1.792e-03, eta: 7:38:20, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2936, loss: 1.2936 +2025-05-15 06:11:13,298 - pyskl - INFO - Epoch [125][400/2506] lr: 1.786e-03, eta: 7:37:37, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2908, loss: 1.2908 +2025-05-15 06:11:54,083 - pyskl - INFO - Epoch [125][500/2506] lr: 1.781e-03, eta: 7:36:54, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2758, loss: 1.2758 +2025-05-15 06:12:34,728 - pyskl - INFO - Epoch [125][600/2506] lr: 1.776e-03, eta: 7:36:11, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2762, loss: 1.2762 +2025-05-15 06:13:15,710 - pyskl - INFO - Epoch [125][700/2506] lr: 1.770e-03, eta: 7:35:29, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2506, loss: 1.2506 +2025-05-15 06:13:56,522 - pyskl - INFO - Epoch [125][800/2506] lr: 1.765e-03, eta: 7:34:46, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.3295, loss: 1.3295 +2025-05-15 06:14:36,767 - pyskl - INFO - Epoch [125][900/2506] lr: 1.760e-03, eta: 7:34:03, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.3050, loss: 1.3050 +2025-05-15 06:15:17,092 - pyskl - INFO - Epoch [125][1000/2506] lr: 1.754e-03, eta: 7:33:20, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2303, loss: 1.2303 +2025-05-15 06:15:57,836 - pyskl - INFO - Epoch [125][1100/2506] lr: 1.749e-03, eta: 7:32:38, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3025, loss: 1.3025 +2025-05-15 06:16:38,940 - pyskl - INFO - Epoch [125][1200/2506] lr: 1.744e-03, eta: 7:31:55, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3004, loss: 1.3004 +2025-05-15 06:17:19,630 - pyskl - INFO - Epoch [125][1300/2506] lr: 1.738e-03, eta: 7:31:12, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.3497, loss: 1.3497 +2025-05-15 06:18:00,341 - pyskl - INFO - Epoch [125][1400/2506] lr: 1.733e-03, eta: 7:30:30, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2950, loss: 1.2950 +2025-05-15 06:18:40,785 - pyskl - INFO - Epoch [125][1500/2506] lr: 1.728e-03, eta: 7:29:47, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3695, loss: 1.3695 +2025-05-15 06:19:22,525 - pyskl - INFO - Epoch [125][1600/2506] lr: 1.722e-03, eta: 7:29:04, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.3283, loss: 1.3283 +2025-05-15 06:20:02,519 - pyskl - INFO - Epoch [125][1700/2506] lr: 1.717e-03, eta: 7:28:21, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.2855, loss: 1.2855 +2025-05-15 06:20:43,356 - pyskl - INFO - Epoch [125][1800/2506] lr: 1.712e-03, eta: 7:27:39, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2655, loss: 1.2655 +2025-05-15 06:21:25,128 - pyskl - INFO - Epoch [125][1900/2506] lr: 1.707e-03, eta: 7:26:56, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.3037, loss: 1.3037 +2025-05-15 06:22:06,872 - pyskl - INFO - Epoch [125][2000/2506] lr: 1.701e-03, eta: 7:26:14, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3188, loss: 1.3188 +2025-05-15 06:22:48,600 - pyskl - INFO - Epoch [125][2100/2506] lr: 1.696e-03, eta: 7:25:31, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.3874, loss: 1.3874 +2025-05-15 06:23:29,237 - pyskl - INFO - Epoch [125][2200/2506] lr: 1.691e-03, eta: 7:24:48, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2542, loss: 1.2542 +2025-05-15 06:24:09,625 - pyskl - INFO - Epoch [125][2300/2506] lr: 1.686e-03, eta: 7:24:05, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.3134, loss: 1.3134 +2025-05-15 06:24:49,936 - pyskl - INFO - Epoch [125][2400/2506] lr: 1.680e-03, eta: 7:23:23, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.3346, loss: 1.3346 +2025-05-15 06:25:31,057 - pyskl - INFO - Epoch [125][2500/2506] lr: 1.675e-03, eta: 7:22:40, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.3019, loss: 1.3019 +2025-05-15 06:25:34,107 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-05-15 06:26:44,998 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 06:26:45,094 - pyskl - INFO - +top1_acc 0.9072 +top5_acc 0.9853 +2025-05-15 06:26:45,097 - pyskl - INFO - Epoch(val) [125][1031] top1_acc: 0.9072, top5_acc: 0.9853 +2025-05-15 06:27:52,426 - pyskl - INFO - Epoch [126][100/2506] lr: 1.670e-03, eta: 7:22:00, time: 0.673, data_time: 0.261, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2933, loss: 1.2933 +2025-05-15 06:28:33,623 - pyskl - INFO - Epoch [126][200/2506] lr: 1.664e-03, eta: 7:21:17, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3023, loss: 1.3023 +2025-05-15 06:29:15,157 - pyskl - INFO - Epoch [126][300/2506] lr: 1.659e-03, eta: 7:20:34, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2660, loss: 1.2660 +2025-05-15 06:29:55,696 - pyskl - INFO - Epoch [126][400/2506] lr: 1.654e-03, eta: 7:19:52, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2650, loss: 1.2650 +2025-05-15 06:30:37,101 - pyskl - INFO - Epoch [126][500/2506] lr: 1.649e-03, eta: 7:19:09, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2493, loss: 1.2493 +2025-05-15 06:31:18,747 - pyskl - INFO - Epoch [126][600/2506] lr: 1.644e-03, eta: 7:18:26, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2996, loss: 1.2996 +2025-05-15 06:31:59,747 - pyskl - INFO - Epoch [126][700/2506] lr: 1.638e-03, eta: 7:17:44, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3008, loss: 1.3008 +2025-05-15 06:32:40,179 - pyskl - INFO - Epoch [126][800/2506] lr: 1.633e-03, eta: 7:17:01, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2479, loss: 1.2479 +2025-05-15 06:33:21,744 - pyskl - INFO - Epoch [126][900/2506] lr: 1.628e-03, eta: 7:16:18, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2572, loss: 1.2572 +2025-05-15 06:34:02,454 - pyskl - INFO - Epoch [126][1000/2506] lr: 1.623e-03, eta: 7:15:36, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2863, loss: 1.2863 +2025-05-15 06:34:43,452 - pyskl - INFO - Epoch [126][1100/2506] lr: 1.618e-03, eta: 7:14:53, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2785, loss: 1.2785 +2025-05-15 06:35:25,204 - pyskl - INFO - Epoch [126][1200/2506] lr: 1.613e-03, eta: 7:14:11, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.3015, loss: 1.3015 +2025-05-15 06:36:06,389 - pyskl - INFO - Epoch [126][1300/2506] lr: 1.607e-03, eta: 7:13:28, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2538, loss: 1.2538 +2025-05-15 06:36:48,200 - pyskl - INFO - Epoch [126][1400/2506] lr: 1.602e-03, eta: 7:12:45, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2193, loss: 1.2193 +2025-05-15 06:37:29,004 - pyskl - INFO - Epoch [126][1500/2506] lr: 1.597e-03, eta: 7:12:03, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2511, loss: 1.2511 +2025-05-15 06:38:10,666 - pyskl - INFO - Epoch [126][1600/2506] lr: 1.592e-03, eta: 7:11:20, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2558, loss: 1.2558 +2025-05-15 06:38:51,947 - pyskl - INFO - Epoch [126][1700/2506] lr: 1.587e-03, eta: 7:10:38, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2825, loss: 1.2825 +2025-05-15 06:39:32,122 - pyskl - INFO - Epoch [126][1800/2506] lr: 1.582e-03, eta: 7:09:55, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2785, loss: 1.2785 +2025-05-15 06:40:12,698 - pyskl - INFO - Epoch [126][1900/2506] lr: 1.577e-03, eta: 7:09:12, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3208, loss: 1.3208 +2025-05-15 06:40:54,104 - pyskl - INFO - Epoch [126][2000/2506] lr: 1.572e-03, eta: 7:08:29, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.3276, loss: 1.3276 +2025-05-15 06:41:35,490 - pyskl - INFO - Epoch [126][2100/2506] lr: 1.567e-03, eta: 7:07:47, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2822, loss: 1.2822 +2025-05-15 06:42:16,785 - pyskl - INFO - Epoch [126][2200/2506] lr: 1.562e-03, eta: 7:07:04, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.2487, loss: 1.2487 +2025-05-15 06:42:57,628 - pyskl - INFO - Epoch [126][2300/2506] lr: 1.557e-03, eta: 7:06:22, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2359, loss: 1.2359 +2025-05-15 06:43:38,424 - pyskl - INFO - Epoch [126][2400/2506] lr: 1.552e-03, eta: 7:05:39, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2670, loss: 1.2670 +2025-05-15 06:44:19,036 - pyskl - INFO - Epoch [126][2500/2506] lr: 1.547e-03, eta: 7:04:56, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2466, loss: 1.2466 +2025-05-15 06:44:22,435 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-05-15 06:45:34,120 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 06:45:34,229 - pyskl - INFO - +top1_acc 0.9190 +top5_acc 0.9867 +2025-05-15 06:45:34,316 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_124.pth was removed +2025-05-15 06:45:36,053 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. +2025-05-15 06:45:36,054 - pyskl - INFO - Best top1_acc is 0.9190 at 126 epoch. +2025-05-15 06:45:36,057 - pyskl - INFO - Epoch(val) [126][1031] top1_acc: 0.9190, top5_acc: 0.9867 +2025-05-15 06:46:43,955 - pyskl - INFO - Epoch [127][100/2506] lr: 1.541e-03, eta: 7:04:16, time: 0.679, data_time: 0.267, memory: 10841, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2807, loss: 1.2807 +2025-05-15 06:47:25,697 - pyskl - INFO - Epoch [127][200/2506] lr: 1.536e-03, eta: 7:03:33, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.2874, loss: 1.2874 +2025-05-15 06:48:06,222 - pyskl - INFO - Epoch [127][300/2506] lr: 1.531e-03, eta: 7:02:50, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2301, loss: 1.2301 +2025-05-15 06:48:47,882 - pyskl - INFO - Epoch [127][400/2506] lr: 1.526e-03, eta: 7:02:08, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2115, loss: 1.2115 +2025-05-15 06:49:28,914 - pyskl - INFO - Epoch [127][500/2506] lr: 1.521e-03, eta: 7:01:25, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1872, loss: 1.1872 +2025-05-15 06:50:09,772 - pyskl - INFO - Epoch [127][600/2506] lr: 1.516e-03, eta: 7:00:42, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2385, loss: 1.2385 +2025-05-15 06:50:49,881 - pyskl - INFO - Epoch [127][700/2506] lr: 1.511e-03, eta: 7:00:00, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2674, loss: 1.2674 +2025-05-15 06:51:31,160 - pyskl - INFO - Epoch [127][800/2506] lr: 1.506e-03, eta: 6:59:17, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2522, loss: 1.2522 +2025-05-15 06:52:12,129 - pyskl - INFO - Epoch [127][900/2506] lr: 1.501e-03, eta: 6:58:34, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2298, loss: 1.2298 +2025-05-15 06:52:52,569 - pyskl - INFO - Epoch [127][1000/2506] lr: 1.496e-03, eta: 6:57:52, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2310, loss: 1.2310 +2025-05-15 06:53:32,912 - pyskl - INFO - Epoch [127][1100/2506] lr: 1.491e-03, eta: 6:57:09, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2536, loss: 1.2536 +2025-05-15 06:54:13,768 - pyskl - INFO - Epoch [127][1200/2506] lr: 1.486e-03, eta: 6:56:26, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2246, loss: 1.2246 +2025-05-15 06:54:54,046 - pyskl - INFO - Epoch [127][1300/2506] lr: 1.481e-03, eta: 6:55:43, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2671, loss: 1.2671 +2025-05-15 06:55:34,693 - pyskl - INFO - Epoch [127][1400/2506] lr: 1.477e-03, eta: 6:55:01, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2516, loss: 1.2516 +2025-05-15 06:56:15,789 - pyskl - INFO - Epoch [127][1500/2506] lr: 1.472e-03, eta: 6:54:18, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2494, loss: 1.2494 +2025-05-15 06:56:56,649 - pyskl - INFO - Epoch [127][1600/2506] lr: 1.467e-03, eta: 6:53:35, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2402, loss: 1.2402 +2025-05-15 06:57:37,452 - pyskl - INFO - Epoch [127][1700/2506] lr: 1.462e-03, eta: 6:52:53, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2396, loss: 1.2396 +2025-05-15 06:58:18,407 - pyskl - INFO - Epoch [127][1800/2506] lr: 1.457e-03, eta: 6:52:10, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2033, loss: 1.2033 +2025-05-15 06:58:59,220 - pyskl - INFO - Epoch [127][1900/2506] lr: 1.452e-03, eta: 6:51:27, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2523, loss: 1.2523 +2025-05-15 06:59:40,676 - pyskl - INFO - Epoch [127][2000/2506] lr: 1.447e-03, eta: 6:50:45, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2973, loss: 1.2973 +2025-05-15 07:00:21,477 - pyskl - INFO - Epoch [127][2100/2506] lr: 1.442e-03, eta: 6:50:02, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2355, loss: 1.2355 +2025-05-15 07:01:02,004 - pyskl - INFO - Epoch [127][2200/2506] lr: 1.437e-03, eta: 6:49:19, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2598, loss: 1.2598 +2025-05-15 07:01:42,792 - pyskl - INFO - Epoch [127][2300/2506] lr: 1.432e-03, eta: 6:48:37, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2888, loss: 1.2888 +2025-05-15 07:02:23,851 - pyskl - INFO - Epoch [127][2400/2506] lr: 1.428e-03, eta: 6:47:54, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2447, loss: 1.2447 +2025-05-15 07:03:05,559 - pyskl - INFO - Epoch [127][2500/2506] lr: 1.423e-03, eta: 6:47:12, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.2305, loss: 1.2305 +2025-05-15 07:03:08,610 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-05-15 07:04:19,669 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 07:04:19,733 - pyskl - INFO - +top1_acc 0.9099 +top5_acc 0.9861 +2025-05-15 07:04:19,735 - pyskl - INFO - Epoch(val) [127][1031] top1_acc: 0.9099, top5_acc: 0.9861 +2025-05-15 07:05:29,056 - pyskl - INFO - Epoch [128][100/2506] lr: 1.418e-03, eta: 6:46:31, time: 0.693, data_time: 0.283, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2781, loss: 1.2781 +2025-05-15 07:06:09,961 - pyskl - INFO - Epoch [128][200/2506] lr: 1.413e-03, eta: 6:45:48, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2240, loss: 1.2240 +2025-05-15 07:06:50,710 - pyskl - INFO - Epoch [128][300/2506] lr: 1.408e-03, eta: 6:45:06, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2073, loss: 1.2073 +2025-05-15 07:07:31,082 - pyskl - INFO - Epoch [128][400/2506] lr: 1.403e-03, eta: 6:44:23, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2357, loss: 1.2357 +2025-05-15 07:08:12,140 - pyskl - INFO - Epoch [128][500/2506] lr: 1.398e-03, eta: 6:43:40, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2133, loss: 1.2133 +2025-05-15 07:08:52,736 - pyskl - INFO - Epoch [128][600/2506] lr: 1.394e-03, eta: 6:42:58, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2336, loss: 1.2336 +2025-05-15 07:09:33,396 - pyskl - INFO - Epoch [128][700/2506] lr: 1.389e-03, eta: 6:42:15, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2585, loss: 1.2585 +2025-05-15 07:10:14,345 - pyskl - INFO - Epoch [128][800/2506] lr: 1.384e-03, eta: 6:41:32, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2236, loss: 1.2236 +2025-05-15 07:10:54,985 - pyskl - INFO - Epoch [128][900/2506] lr: 1.379e-03, eta: 6:40:50, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2798, loss: 1.2798 +2025-05-15 07:11:35,756 - pyskl - INFO - Epoch [128][1000/2506] lr: 1.374e-03, eta: 6:40:07, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2224, loss: 1.2224 +2025-05-15 07:12:16,318 - pyskl - INFO - Epoch [128][1100/2506] lr: 1.370e-03, eta: 6:39:24, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2536, loss: 1.2536 +2025-05-15 07:12:56,063 - pyskl - INFO - Epoch [128][1200/2506] lr: 1.365e-03, eta: 6:38:41, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.2754, loss: 1.2754 +2025-05-15 07:13:37,484 - pyskl - INFO - Epoch [128][1300/2506] lr: 1.360e-03, eta: 6:37:59, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2426, loss: 1.2426 +2025-05-15 07:14:19,145 - pyskl - INFO - Epoch [128][1400/2506] lr: 1.356e-03, eta: 6:37:16, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2486, loss: 1.2486 +2025-05-15 07:15:00,600 - pyskl - INFO - Epoch [128][1500/2506] lr: 1.351e-03, eta: 6:36:34, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2632, loss: 1.2632 +2025-05-15 07:15:42,070 - pyskl - INFO - Epoch [128][1600/2506] lr: 1.346e-03, eta: 6:35:51, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2452, loss: 1.2452 +2025-05-15 07:16:22,440 - pyskl - INFO - Epoch [128][1700/2506] lr: 1.341e-03, eta: 6:35:08, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2276, loss: 1.2276 +2025-05-15 07:17:03,033 - pyskl - INFO - Epoch [128][1800/2506] lr: 1.337e-03, eta: 6:34:26, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1777, loss: 1.1777 +2025-05-15 07:17:43,551 - pyskl - INFO - Epoch [128][1900/2506] lr: 1.332e-03, eta: 6:33:43, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2419, loss: 1.2419 +2025-05-15 07:18:23,926 - pyskl - INFO - Epoch [128][2000/2506] lr: 1.327e-03, eta: 6:33:00, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2218, loss: 1.2218 +2025-05-15 07:19:04,752 - pyskl - INFO - Epoch [128][2100/2506] lr: 1.323e-03, eta: 6:32:18, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2410, loss: 1.2410 +2025-05-15 07:19:44,463 - pyskl - INFO - Epoch [128][2200/2506] lr: 1.318e-03, eta: 6:31:35, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.1966, loss: 1.1966 +2025-05-15 07:20:26,044 - pyskl - INFO - Epoch [128][2300/2506] lr: 1.313e-03, eta: 6:30:52, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2407, loss: 1.2407 +2025-05-15 07:21:07,701 - pyskl - INFO - Epoch [128][2400/2506] lr: 1.309e-03, eta: 6:30:10, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.2444, loss: 1.2444 +2025-05-15 07:21:47,975 - pyskl - INFO - Epoch [128][2500/2506] lr: 1.304e-03, eta: 6:29:27, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.2463, loss: 1.2463 +2025-05-15 07:21:51,291 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-05-15 07:23:03,348 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 07:23:03,412 - pyskl - INFO - +top1_acc 0.9133 +top5_acc 0.9865 +2025-05-15 07:23:03,414 - pyskl - INFO - Epoch(val) [128][1031] top1_acc: 0.9133, top5_acc: 0.9865 +2025-05-15 07:24:08,683 - pyskl - INFO - Epoch [129][100/2506] lr: 1.299e-03, eta: 6:28:46, time: 0.653, data_time: 0.241, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2314, loss: 1.2314 +2025-05-15 07:24:49,709 - pyskl - INFO - Epoch [129][200/2506] lr: 1.294e-03, eta: 6:28:03, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2167, loss: 1.2167 +2025-05-15 07:25:30,017 - pyskl - INFO - Epoch [129][300/2506] lr: 1.290e-03, eta: 6:27:20, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2385, loss: 1.2385 +2025-05-15 07:26:10,125 - pyskl - INFO - Epoch [129][400/2506] lr: 1.285e-03, eta: 6:26:37, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2234, loss: 1.2234 +2025-05-15 07:26:51,260 - pyskl - INFO - Epoch [129][500/2506] lr: 1.281e-03, eta: 6:25:55, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2254, loss: 1.2254 +2025-05-15 07:27:32,008 - pyskl - INFO - Epoch [129][600/2506] lr: 1.276e-03, eta: 6:25:12, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2264, loss: 1.2264 +2025-05-15 07:28:12,242 - pyskl - INFO - Epoch [129][700/2506] lr: 1.271e-03, eta: 6:24:29, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1984, loss: 1.1984 +2025-05-15 07:28:51,926 - pyskl - INFO - Epoch [129][800/2506] lr: 1.267e-03, eta: 6:23:47, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1963, loss: 1.1963 +2025-05-15 07:29:32,994 - pyskl - INFO - Epoch [129][900/2506] lr: 1.262e-03, eta: 6:23:04, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1927, loss: 1.1927 +2025-05-15 07:30:13,392 - pyskl - INFO - Epoch [129][1000/2506] lr: 1.258e-03, eta: 6:22:21, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2188, loss: 1.2188 +2025-05-15 07:30:54,333 - pyskl - INFO - Epoch [129][1100/2506] lr: 1.253e-03, eta: 6:21:39, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2265, loss: 1.2265 +2025-05-15 07:31:34,562 - pyskl - INFO - Epoch [129][1200/2506] lr: 1.248e-03, eta: 6:20:56, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1847, loss: 1.1847 +2025-05-15 07:32:14,720 - pyskl - INFO - Epoch [129][1300/2506] lr: 1.244e-03, eta: 6:20:13, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1932, loss: 1.1932 +2025-05-15 07:32:56,390 - pyskl - INFO - Epoch [129][1400/2506] lr: 1.239e-03, eta: 6:19:31, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1739, loss: 1.1739 +2025-05-15 07:33:37,935 - pyskl - INFO - Epoch [129][1500/2506] lr: 1.235e-03, eta: 6:18:48, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2219, loss: 1.2219 +2025-05-15 07:34:19,468 - pyskl - INFO - Epoch [129][1600/2506] lr: 1.230e-03, eta: 6:18:06, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2260, loss: 1.2260 +2025-05-15 07:34:59,841 - pyskl - INFO - Epoch [129][1700/2506] lr: 1.226e-03, eta: 6:17:23, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2157, loss: 1.2157 +2025-05-15 07:35:41,628 - pyskl - INFO - Epoch [129][1800/2506] lr: 1.221e-03, eta: 6:16:40, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2309, loss: 1.2309 +2025-05-15 07:36:22,676 - pyskl - INFO - Epoch [129][1900/2506] lr: 1.217e-03, eta: 6:15:58, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1871, loss: 1.1871 +2025-05-15 07:37:03,737 - pyskl - INFO - Epoch [129][2000/2506] lr: 1.212e-03, eta: 6:15:15, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2399, loss: 1.2399 +2025-05-15 07:37:44,828 - pyskl - INFO - Epoch [129][2100/2506] lr: 1.208e-03, eta: 6:14:33, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2505, loss: 1.2505 +2025-05-15 07:38:26,884 - pyskl - INFO - Epoch [129][2200/2506] lr: 1.203e-03, eta: 6:13:50, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1799, loss: 1.1799 +2025-05-15 07:39:08,524 - pyskl - INFO - Epoch [129][2300/2506] lr: 1.199e-03, eta: 6:13:08, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2020, loss: 1.2020 +2025-05-15 07:39:50,344 - pyskl - INFO - Epoch [129][2400/2506] lr: 1.194e-03, eta: 6:12:25, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2311, loss: 1.2311 +2025-05-15 07:40:30,681 - pyskl - INFO - Epoch [129][2500/2506] lr: 1.190e-03, eta: 6:11:43, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.1803, loss: 1.1803 +2025-05-15 07:40:33,855 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-05-15 07:41:45,086 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 07:41:45,181 - pyskl - INFO - +top1_acc 0.9180 +top5_acc 0.9879 +2025-05-15 07:41:45,184 - pyskl - INFO - Epoch(val) [129][1031] top1_acc: 0.9180, top5_acc: 0.9879 +2025-05-15 07:42:51,553 - pyskl - INFO - Epoch [130][100/2506] lr: 1.185e-03, eta: 6:11:01, time: 0.664, data_time: 0.248, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1990, loss: 1.1990 +2025-05-15 07:43:32,341 - pyskl - INFO - Epoch [130][200/2506] lr: 1.181e-03, eta: 6:10:18, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2477, loss: 1.2477 +2025-05-15 07:44:12,659 - pyskl - INFO - Epoch [130][300/2506] lr: 1.176e-03, eta: 6:09:36, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1947, loss: 1.1947 +2025-05-15 07:44:53,744 - pyskl - INFO - Epoch [130][400/2506] lr: 1.172e-03, eta: 6:08:53, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1809, loss: 1.1809 +2025-05-15 07:45:34,098 - pyskl - INFO - Epoch [130][500/2506] lr: 1.168e-03, eta: 6:08:10, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2029, loss: 1.2029 +2025-05-15 07:46:14,040 - pyskl - INFO - Epoch [130][600/2506] lr: 1.163e-03, eta: 6:07:28, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1957, loss: 1.1957 +2025-05-15 07:46:54,546 - pyskl - INFO - Epoch [130][700/2506] lr: 1.159e-03, eta: 6:06:45, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2290, loss: 1.2290 +2025-05-15 07:47:34,564 - pyskl - INFO - Epoch [130][800/2506] lr: 1.154e-03, eta: 6:06:02, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2021, loss: 1.2021 +2025-05-15 07:48:14,772 - pyskl - INFO - Epoch [130][900/2506] lr: 1.150e-03, eta: 6:05:20, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2100, loss: 1.2100 +2025-05-15 07:48:56,166 - pyskl - INFO - Epoch [130][1000/2506] lr: 1.146e-03, eta: 6:04:37, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1724, loss: 1.1724 +2025-05-15 07:49:37,602 - pyskl - INFO - Epoch [130][1100/2506] lr: 1.141e-03, eta: 6:03:54, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1333, loss: 1.1333 +2025-05-15 07:50:19,040 - pyskl - INFO - Epoch [130][1200/2506] lr: 1.137e-03, eta: 6:03:12, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2012, loss: 1.2012 +2025-05-15 07:51:00,411 - pyskl - INFO - Epoch [130][1300/2506] lr: 1.133e-03, eta: 6:02:29, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2128, loss: 1.2128 +2025-05-15 07:51:41,946 - pyskl - INFO - Epoch [130][1400/2506] lr: 1.128e-03, eta: 6:01:47, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1849, loss: 1.1849 +2025-05-15 07:52:23,226 - pyskl - INFO - Epoch [130][1500/2506] lr: 1.124e-03, eta: 6:01:04, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2118, loss: 1.2118 +2025-05-15 07:53:04,128 - pyskl - INFO - Epoch [130][1600/2506] lr: 1.120e-03, eta: 6:00:22, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2073, loss: 1.2073 +2025-05-15 07:53:44,759 - pyskl - INFO - Epoch [130][1700/2506] lr: 1.115e-03, eta: 5:59:39, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2245, loss: 1.2245 +2025-05-15 07:54:25,102 - pyskl - INFO - Epoch [130][1800/2506] lr: 1.111e-03, eta: 5:58:56, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1874, loss: 1.1874 +2025-05-15 07:55:06,994 - pyskl - INFO - Epoch [130][1900/2506] lr: 1.107e-03, eta: 5:58:14, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1662, loss: 1.1662 +2025-05-15 07:55:48,665 - pyskl - INFO - Epoch [130][2000/2506] lr: 1.102e-03, eta: 5:57:31, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1776, loss: 1.1776 +2025-05-15 07:56:30,628 - pyskl - INFO - Epoch [130][2100/2506] lr: 1.098e-03, eta: 5:56:49, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1970, loss: 1.1970 +2025-05-15 07:57:11,657 - pyskl - INFO - Epoch [130][2200/2506] lr: 1.094e-03, eta: 5:56:06, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1814, loss: 1.1814 +2025-05-15 07:57:53,010 - pyskl - INFO - Epoch [130][2300/2506] lr: 1.089e-03, eta: 5:55:24, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2088, loss: 1.2088 +2025-05-15 07:58:33,792 - pyskl - INFO - Epoch [130][2400/2506] lr: 1.085e-03, eta: 5:54:41, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2028, loss: 1.2028 +2025-05-15 07:59:14,129 - pyskl - INFO - Epoch [130][2500/2506] lr: 1.081e-03, eta: 5:53:59, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1644, loss: 1.1644 +2025-05-15 07:59:17,259 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-05-15 08:00:28,247 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 08:00:28,316 - pyskl - INFO - +top1_acc 0.9187 +top5_acc 0.9879 +2025-05-15 08:00:28,319 - pyskl - INFO - Epoch(val) [130][1031] top1_acc: 0.9187, top5_acc: 0.9879 +2025-05-15 08:01:35,138 - pyskl - INFO - Epoch [131][100/2506] lr: 1.076e-03, eta: 5:53:17, time: 0.668, data_time: 0.261, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1478, loss: 1.1478 +2025-05-15 08:02:16,172 - pyskl - INFO - Epoch [131][200/2506] lr: 1.072e-03, eta: 5:52:34, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1493, loss: 1.1493 +2025-05-15 08:02:57,321 - pyskl - INFO - Epoch [131][300/2506] lr: 1.068e-03, eta: 5:51:52, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1852, loss: 1.1852 +2025-05-15 08:03:39,045 - pyskl - INFO - Epoch [131][400/2506] lr: 1.064e-03, eta: 5:51:09, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1832, loss: 1.1832 +2025-05-15 08:04:20,245 - pyskl - INFO - Epoch [131][500/2506] lr: 1.060e-03, eta: 5:50:27, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1760, loss: 1.1760 +2025-05-15 08:05:01,637 - pyskl - INFO - Epoch [131][600/2506] lr: 1.055e-03, eta: 5:49:44, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1815, loss: 1.1815 +2025-05-15 08:05:42,865 - pyskl - INFO - Epoch [131][700/2506] lr: 1.051e-03, eta: 5:49:02, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1369, loss: 1.1369 +2025-05-15 08:06:22,662 - pyskl - INFO - Epoch [131][800/2506] lr: 1.047e-03, eta: 5:48:19, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2028, loss: 1.2028 +2025-05-15 08:07:03,150 - pyskl - INFO - Epoch [131][900/2506] lr: 1.043e-03, eta: 5:47:36, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1838, loss: 1.1838 +2025-05-15 08:07:44,340 - pyskl - INFO - Epoch [131][1000/2506] lr: 1.039e-03, eta: 5:46:54, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1608, loss: 1.1608 +2025-05-15 08:08:24,957 - pyskl - INFO - Epoch [131][1100/2506] lr: 1.034e-03, eta: 5:46:11, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1893, loss: 1.1893 +2025-05-15 08:09:05,964 - pyskl - INFO - Epoch [131][1200/2506] lr: 1.030e-03, eta: 5:45:29, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1412, loss: 1.1412 +2025-05-15 08:09:46,844 - pyskl - INFO - Epoch [131][1300/2506] lr: 1.026e-03, eta: 5:44:46, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1502, loss: 1.1502 +2025-05-15 08:10:27,404 - pyskl - INFO - Epoch [131][1400/2506] lr: 1.022e-03, eta: 5:44:03, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2121, loss: 1.2121 +2025-05-15 08:11:08,812 - pyskl - INFO - Epoch [131][1500/2506] lr: 1.018e-03, eta: 5:43:21, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1693, loss: 1.1693 +2025-05-15 08:11:48,843 - pyskl - INFO - Epoch [131][1600/2506] lr: 1.014e-03, eta: 5:42:38, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1832, loss: 1.1832 +2025-05-15 08:12:29,012 - pyskl - INFO - Epoch [131][1700/2506] lr: 1.010e-03, eta: 5:41:55, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1767, loss: 1.1767 +2025-05-15 08:13:09,719 - pyskl - INFO - Epoch [131][1800/2506] lr: 1.006e-03, eta: 5:41:13, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1945, loss: 1.1945 +2025-05-15 08:13:50,361 - pyskl - INFO - Epoch [131][1900/2506] lr: 1.001e-03, eta: 5:40:30, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1760, loss: 1.1760 +2025-05-15 08:14:32,161 - pyskl - INFO - Epoch [131][2000/2506] lr: 9.973e-04, eta: 5:39:48, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2108, loss: 1.2108 +2025-05-15 08:15:13,506 - pyskl - INFO - Epoch [131][2100/2506] lr: 9.933e-04, eta: 5:39:05, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1732, loss: 1.1732 +2025-05-15 08:15:55,043 - pyskl - INFO - Epoch [131][2200/2506] lr: 9.892e-04, eta: 5:38:23, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2139, loss: 1.2139 +2025-05-15 08:16:35,348 - pyskl - INFO - Epoch [131][2300/2506] lr: 9.851e-04, eta: 5:37:40, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1621, loss: 1.1621 +2025-05-15 08:17:14,894 - pyskl - INFO - Epoch [131][2400/2506] lr: 9.810e-04, eta: 5:36:57, time: 0.395, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1610, loss: 1.1610 +2025-05-15 08:17:54,364 - pyskl - INFO - Epoch [131][2500/2506] lr: 9.770e-04, eta: 5:36:14, time: 0.395, data_time: 0.000, memory: 10841, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2038, loss: 1.2038 +2025-05-15 08:17:57,452 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-05-15 08:19:09,504 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 08:19:09,568 - pyskl - INFO - +top1_acc 0.9198 +top5_acc 0.9879 +2025-05-15 08:19:09,638 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_126.pth was removed +2025-05-15 08:19:10,907 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2025-05-15 08:19:10,908 - pyskl - INFO - Best top1_acc is 0.9198 at 131 epoch. +2025-05-15 08:19:10,910 - pyskl - INFO - Epoch(val) [131][1031] top1_acc: 0.9198, top5_acc: 0.9879 +2025-05-15 08:20:18,634 - pyskl - INFO - Epoch [132][100/2506] lr: 9.727e-04, eta: 5:35:33, time: 0.677, data_time: 0.269, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1940, loss: 1.1940 +2025-05-15 08:21:00,563 - pyskl - INFO - Epoch [132][200/2506] lr: 9.687e-04, eta: 5:34:50, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1451, loss: 1.1451 +2025-05-15 08:21:41,479 - pyskl - INFO - Epoch [132][300/2506] lr: 9.646e-04, eta: 5:34:08, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1322, loss: 1.1322 +2025-05-15 08:22:23,016 - pyskl - INFO - Epoch [132][400/2506] lr: 9.606e-04, eta: 5:33:25, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1682, loss: 1.1682 +2025-05-15 08:23:04,273 - pyskl - INFO - Epoch [132][500/2506] lr: 9.566e-04, eta: 5:32:43, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1678, loss: 1.1678 +2025-05-15 08:23:45,137 - pyskl - INFO - Epoch [132][600/2506] lr: 9.526e-04, eta: 5:32:00, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1657, loss: 1.1657 +2025-05-15 08:24:26,963 - pyskl - INFO - Epoch [132][700/2506] lr: 9.486e-04, eta: 5:31:18, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1484, loss: 1.1484 +2025-05-15 08:25:07,996 - pyskl - INFO - Epoch [132][800/2506] lr: 9.446e-04, eta: 5:30:35, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.1715, loss: 1.1715 +2025-05-15 08:25:48,524 - pyskl - INFO - Epoch [132][900/2506] lr: 9.406e-04, eta: 5:29:53, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1605, loss: 1.1605 +2025-05-15 08:26:28,964 - pyskl - INFO - Epoch [132][1000/2506] lr: 9.367e-04, eta: 5:29:10, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1829, loss: 1.1829 +2025-05-15 08:27:10,637 - pyskl - INFO - Epoch [132][1100/2506] lr: 9.327e-04, eta: 5:28:27, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1355, loss: 1.1355 +2025-05-15 08:27:51,852 - pyskl - INFO - Epoch [132][1200/2506] lr: 9.288e-04, eta: 5:27:45, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1539, loss: 1.1539 +2025-05-15 08:28:33,084 - pyskl - INFO - Epoch [132][1300/2506] lr: 9.248e-04, eta: 5:27:02, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2096, loss: 1.2096 +2025-05-15 08:29:14,007 - pyskl - INFO - Epoch [132][1400/2506] lr: 9.209e-04, eta: 5:26:20, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1300, loss: 1.1300 +2025-05-15 08:29:55,540 - pyskl - INFO - Epoch [132][1500/2506] lr: 9.169e-04, eta: 5:25:37, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1347, loss: 1.1347 +2025-05-15 08:30:36,875 - pyskl - INFO - Epoch [132][1600/2506] lr: 9.130e-04, eta: 5:24:55, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1554, loss: 1.1554 +2025-05-15 08:31:17,152 - pyskl - INFO - Epoch [132][1700/2506] lr: 9.091e-04, eta: 5:24:12, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1605, loss: 1.1605 +2025-05-15 08:31:58,281 - pyskl - INFO - Epoch [132][1800/2506] lr: 9.052e-04, eta: 5:23:30, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1353, loss: 1.1353 +2025-05-15 08:32:40,336 - pyskl - INFO - Epoch [132][1900/2506] lr: 9.013e-04, eta: 5:22:47, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1574, loss: 1.1574 +2025-05-15 08:33:21,048 - pyskl - INFO - Epoch [132][2000/2506] lr: 8.974e-04, eta: 5:22:05, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1515, loss: 1.1515 +2025-05-15 08:34:01,014 - pyskl - INFO - Epoch [132][2100/2506] lr: 8.935e-04, eta: 5:21:22, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1726, loss: 1.1726 +2025-05-15 08:34:41,944 - pyskl - INFO - Epoch [132][2200/2506] lr: 8.896e-04, eta: 5:20:39, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1393, loss: 1.1393 +2025-05-15 08:35:22,611 - pyskl - INFO - Epoch [132][2300/2506] lr: 8.858e-04, eta: 5:19:57, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2076, loss: 1.2076 +2025-05-15 08:36:02,728 - pyskl - INFO - Epoch [132][2400/2506] lr: 8.819e-04, eta: 5:19:14, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1694, loss: 1.1694 +2025-05-15 08:36:43,764 - pyskl - INFO - Epoch [132][2500/2506] lr: 8.781e-04, eta: 5:18:32, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1452, loss: 1.1452 +2025-05-15 08:36:46,988 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-05-15 08:37:59,210 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 08:37:59,304 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9877 +2025-05-15 08:37:59,397 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_131.pth was removed +2025-05-15 08:38:01,035 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. +2025-05-15 08:38:01,036 - pyskl - INFO - Best top1_acc is 0.9223 at 132 epoch. +2025-05-15 08:38:01,039 - pyskl - INFO - Epoch(val) [132][1031] top1_acc: 0.9223, top5_acc: 0.9877 +2025-05-15 08:39:08,073 - pyskl - INFO - Epoch [133][100/2506] lr: 8.740e-04, eta: 5:17:50, time: 0.670, data_time: 0.255, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1874, loss: 1.1874 +2025-05-15 08:39:49,055 - pyskl - INFO - Epoch [133][200/2506] lr: 8.702e-04, eta: 5:17:07, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1345, loss: 1.1345 +2025-05-15 08:40:30,319 - pyskl - INFO - Epoch [133][300/2506] lr: 8.663e-04, eta: 5:16:25, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1535, loss: 1.1535 +2025-05-15 08:41:11,097 - pyskl - INFO - Epoch [133][400/2506] lr: 8.625e-04, eta: 5:15:42, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1267, loss: 1.1267 +2025-05-15 08:41:51,716 - pyskl - INFO - Epoch [133][500/2506] lr: 8.587e-04, eta: 5:14:59, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1870, loss: 1.1870 +2025-05-15 08:42:31,176 - pyskl - INFO - Epoch [133][600/2506] lr: 8.549e-04, eta: 5:14:17, time: 0.395, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1605, loss: 1.1605 +2025-05-15 08:43:12,039 - pyskl - INFO - Epoch [133][700/2506] lr: 8.511e-04, eta: 5:13:34, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1475, loss: 1.1475 +2025-05-15 08:43:52,283 - pyskl - INFO - Epoch [133][800/2506] lr: 8.473e-04, eta: 5:12:51, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1629, loss: 1.1629 +2025-05-15 08:44:32,447 - pyskl - INFO - Epoch [133][900/2506] lr: 8.435e-04, eta: 5:12:09, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1435, loss: 1.1435 +2025-05-15 08:45:12,796 - pyskl - INFO - Epoch [133][1000/2506] lr: 8.398e-04, eta: 5:11:26, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1297, loss: 1.1297 +2025-05-15 08:45:53,774 - pyskl - INFO - Epoch [133][1100/2506] lr: 8.360e-04, eta: 5:10:44, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1681, loss: 1.1681 +2025-05-15 08:46:35,497 - pyskl - INFO - Epoch [133][1200/2506] lr: 8.323e-04, eta: 5:10:01, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1543, loss: 1.1543 +2025-05-15 08:47:17,048 - pyskl - INFO - Epoch [133][1300/2506] lr: 8.285e-04, eta: 5:09:19, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0873, loss: 1.0873 +2025-05-15 08:47:58,321 - pyskl - INFO - Epoch [133][1400/2506] lr: 8.248e-04, eta: 5:08:36, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1243, loss: 1.1243 +2025-05-15 08:48:39,018 - pyskl - INFO - Epoch [133][1500/2506] lr: 8.211e-04, eta: 5:07:54, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1822, loss: 1.1822 +2025-05-15 08:49:18,704 - pyskl - INFO - Epoch [133][1600/2506] lr: 8.173e-04, eta: 5:07:11, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1375, loss: 1.1375 +2025-05-15 08:49:58,989 - pyskl - INFO - Epoch [133][1700/2506] lr: 8.136e-04, eta: 5:06:28, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1458, loss: 1.1458 +2025-05-15 08:50:39,565 - pyskl - INFO - Epoch [133][1800/2506] lr: 8.099e-04, eta: 5:05:46, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1292, loss: 1.1292 +2025-05-15 08:51:19,663 - pyskl - INFO - Epoch [133][1900/2506] lr: 8.062e-04, eta: 5:05:03, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1401, loss: 1.1401 +2025-05-15 08:52:01,052 - pyskl - INFO - Epoch [133][2000/2506] lr: 8.025e-04, eta: 5:04:20, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1743, loss: 1.1743 +2025-05-15 08:52:42,680 - pyskl - INFO - Epoch [133][2100/2506] lr: 7.989e-04, eta: 5:03:38, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1291, loss: 1.1291 +2025-05-15 08:53:23,473 - pyskl - INFO - Epoch [133][2200/2506] lr: 7.952e-04, eta: 5:02:55, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1474, loss: 1.1474 +2025-05-15 08:54:03,477 - pyskl - INFO - Epoch [133][2300/2506] lr: 7.915e-04, eta: 5:02:13, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1333, loss: 1.1333 +2025-05-15 08:54:44,208 - pyskl - INFO - Epoch [133][2400/2506] lr: 7.879e-04, eta: 5:01:30, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1366, loss: 1.1366 +2025-05-15 08:55:24,815 - pyskl - INFO - Epoch [133][2500/2506] lr: 7.842e-04, eta: 5:00:48, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1531, loss: 1.1531 +2025-05-15 08:55:27,935 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-05-15 08:56:40,177 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 08:56:40,277 - pyskl - INFO - +top1_acc 0.9185 +top5_acc 0.9876 +2025-05-15 08:56:40,280 - pyskl - INFO - Epoch(val) [133][1031] top1_acc: 0.9185, top5_acc: 0.9876 +2025-05-15 08:57:46,669 - pyskl - INFO - Epoch [134][100/2506] lr: 7.804e-04, eta: 5:00:05, time: 0.664, data_time: 0.263, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1346, loss: 1.1346 +2025-05-15 08:58:27,013 - pyskl - INFO - Epoch [134][200/2506] lr: 7.767e-04, eta: 4:59:23, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1244, loss: 1.1244 +2025-05-15 08:59:08,664 - pyskl - INFO - Epoch [134][300/2506] lr: 7.731e-04, eta: 4:58:40, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1263, loss: 1.1263 +2025-05-15 08:59:50,133 - pyskl - INFO - Epoch [134][400/2506] lr: 7.695e-04, eta: 4:57:58, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1623, loss: 1.1623 +2025-05-15 09:00:31,608 - pyskl - INFO - Epoch [134][500/2506] lr: 7.659e-04, eta: 4:57:15, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1354, loss: 1.1354 +2025-05-15 09:01:13,283 - pyskl - INFO - Epoch [134][600/2506] lr: 7.623e-04, eta: 4:56:33, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1280, loss: 1.1280 +2025-05-15 09:01:54,752 - pyskl - INFO - Epoch [134][700/2506] lr: 7.587e-04, eta: 4:55:51, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0910, loss: 1.0910 +2025-05-15 09:02:36,485 - pyskl - INFO - Epoch [134][800/2506] lr: 7.551e-04, eta: 4:55:08, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1435, loss: 1.1435 +2025-05-15 09:03:18,264 - pyskl - INFO - Epoch [134][900/2506] lr: 7.516e-04, eta: 4:54:26, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1748, loss: 1.1748 +2025-05-15 09:03:58,828 - pyskl - INFO - Epoch [134][1000/2506] lr: 7.480e-04, eta: 4:53:43, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1379, loss: 1.1379 +2025-05-15 09:04:38,768 - pyskl - INFO - Epoch [134][1100/2506] lr: 7.444e-04, eta: 4:53:00, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1178, loss: 1.1178 +2025-05-15 09:05:20,284 - pyskl - INFO - Epoch [134][1200/2506] lr: 7.409e-04, eta: 4:52:18, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1354, loss: 1.1354 +2025-05-15 09:06:00,186 - pyskl - INFO - Epoch [134][1300/2506] lr: 7.374e-04, eta: 4:51:35, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1151, loss: 1.1151 +2025-05-15 09:06:41,448 - pyskl - INFO - Epoch [134][1400/2506] lr: 7.338e-04, eta: 4:50:53, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0977, loss: 1.0977 +2025-05-15 09:07:22,664 - pyskl - INFO - Epoch [134][1500/2506] lr: 7.303e-04, eta: 4:50:10, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1421, loss: 1.1421 +2025-05-15 09:08:02,774 - pyskl - INFO - Epoch [134][1600/2506] lr: 7.268e-04, eta: 4:49:28, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1195, loss: 1.1195 +2025-05-15 09:08:43,916 - pyskl - INFO - Epoch [134][1700/2506] lr: 7.233e-04, eta: 4:48:45, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1229, loss: 1.1229 +2025-05-15 09:09:25,705 - pyskl - INFO - Epoch [134][1800/2506] lr: 7.198e-04, eta: 4:48:03, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1424, loss: 1.1424 +2025-05-15 09:10:07,240 - pyskl - INFO - Epoch [134][1900/2506] lr: 7.163e-04, eta: 4:47:20, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1660, loss: 1.1660 +2025-05-15 09:10:48,494 - pyskl - INFO - Epoch [134][2000/2506] lr: 7.128e-04, eta: 4:46:38, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1488, loss: 1.1488 +2025-05-15 09:11:28,975 - pyskl - INFO - Epoch [134][2100/2506] lr: 7.093e-04, eta: 4:45:55, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1164, loss: 1.1164 +2025-05-15 09:12:10,276 - pyskl - INFO - Epoch [134][2200/2506] lr: 7.059e-04, eta: 4:45:13, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1204, loss: 1.1204 +2025-05-15 09:12:50,672 - pyskl - INFO - Epoch [134][2300/2506] lr: 7.024e-04, eta: 4:44:30, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1333, loss: 1.1333 +2025-05-15 09:13:31,097 - pyskl - INFO - Epoch [134][2400/2506] lr: 6.990e-04, eta: 4:43:47, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1656, loss: 1.1656 +2025-05-15 09:14:12,071 - pyskl - INFO - Epoch [134][2500/2506] lr: 6.955e-04, eta: 4:43:05, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1896, loss: 1.1896 +2025-05-15 09:14:15,163 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-05-15 09:15:26,497 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 09:15:26,560 - pyskl - INFO - +top1_acc 0.9238 +top5_acc 0.9879 +2025-05-15 09:15:26,633 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_132.pth was removed +2025-05-15 09:15:27,885 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2025-05-15 09:15:27,885 - pyskl - INFO - Best top1_acc is 0.9238 at 134 epoch. +2025-05-15 09:15:27,888 - pyskl - INFO - Epoch(val) [134][1031] top1_acc: 0.9238, top5_acc: 0.9879 +2025-05-15 09:16:34,300 - pyskl - INFO - Epoch [135][100/2506] lr: 6.919e-04, eta: 4:42:23, time: 0.664, data_time: 0.257, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1191, loss: 1.1191 +2025-05-15 09:17:15,698 - pyskl - INFO - Epoch [135][200/2506] lr: 6.885e-04, eta: 4:41:40, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1245, loss: 1.1245 +2025-05-15 09:17:57,015 - pyskl - INFO - Epoch [135][300/2506] lr: 6.851e-04, eta: 4:40:58, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1756, loss: 1.1756 +2025-05-15 09:18:38,757 - pyskl - INFO - Epoch [135][400/2506] lr: 6.817e-04, eta: 4:40:15, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1677, loss: 1.1677 +2025-05-15 09:19:19,599 - pyskl - INFO - Epoch [135][500/2506] lr: 6.783e-04, eta: 4:39:33, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1305, loss: 1.1305 +2025-05-15 09:20:00,345 - pyskl - INFO - Epoch [135][600/2506] lr: 6.749e-04, eta: 4:38:50, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0790, loss: 1.0790 +2025-05-15 09:20:41,861 - pyskl - INFO - Epoch [135][700/2506] lr: 6.715e-04, eta: 4:38:08, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1455, loss: 1.1455 +2025-05-15 09:21:21,674 - pyskl - INFO - Epoch [135][800/2506] lr: 6.681e-04, eta: 4:37:25, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0936, loss: 1.0936 +2025-05-15 09:22:02,328 - pyskl - INFO - Epoch [135][900/2506] lr: 6.647e-04, eta: 4:36:42, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1150, loss: 1.1150 +2025-05-15 09:22:43,222 - pyskl - INFO - Epoch [135][1000/2506] lr: 6.614e-04, eta: 4:36:00, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1525, loss: 1.1525 +2025-05-15 09:23:23,298 - pyskl - INFO - Epoch [135][1100/2506] lr: 6.580e-04, eta: 4:35:17, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1511, loss: 1.1511 +2025-05-15 09:24:04,239 - pyskl - INFO - Epoch [135][1200/2506] lr: 6.547e-04, eta: 4:34:35, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1423, loss: 1.1423 +2025-05-15 09:24:43,977 - pyskl - INFO - Epoch [135][1300/2506] lr: 6.514e-04, eta: 4:33:52, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1577, loss: 1.1577 +2025-05-15 09:25:24,235 - pyskl - INFO - Epoch [135][1400/2506] lr: 6.480e-04, eta: 4:33:10, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1028, loss: 1.1028 +2025-05-15 09:26:03,907 - pyskl - INFO - Epoch [135][1500/2506] lr: 6.447e-04, eta: 4:32:27, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1508, loss: 1.1508 +2025-05-15 09:26:44,169 - pyskl - INFO - Epoch [135][1600/2506] lr: 6.414e-04, eta: 4:31:44, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1222, loss: 1.1222 +2025-05-15 09:27:24,586 - pyskl - INFO - Epoch [135][1700/2506] lr: 6.381e-04, eta: 4:31:02, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1203, loss: 1.1203 +2025-05-15 09:28:05,786 - pyskl - INFO - Epoch [135][1800/2506] lr: 6.348e-04, eta: 4:30:19, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1121, loss: 1.1121 +2025-05-15 09:28:46,268 - pyskl - INFO - Epoch [135][1900/2506] lr: 6.315e-04, eta: 4:29:37, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1574, loss: 1.1574 +2025-05-15 09:29:27,335 - pyskl - INFO - Epoch [135][2000/2506] lr: 6.283e-04, eta: 4:28:54, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1106, loss: 1.1106 +2025-05-15 09:30:08,037 - pyskl - INFO - Epoch [135][2100/2506] lr: 6.250e-04, eta: 4:28:12, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0906, loss: 1.0906 +2025-05-15 09:30:48,371 - pyskl - INFO - Epoch [135][2200/2506] lr: 6.217e-04, eta: 4:27:29, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0946, loss: 1.0946 +2025-05-15 09:31:28,372 - pyskl - INFO - Epoch [135][2300/2506] lr: 6.185e-04, eta: 4:26:46, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1198, loss: 1.1198 +2025-05-15 09:32:08,627 - pyskl - INFO - Epoch [135][2400/2506] lr: 6.153e-04, eta: 4:26:04, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0947, loss: 1.0947 +2025-05-15 09:32:49,466 - pyskl - INFO - Epoch [135][2500/2506] lr: 6.120e-04, eta: 4:25:21, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1000, loss: 1.1000 +2025-05-15 09:32:52,508 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-05-15 09:34:04,215 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 09:34:04,280 - pyskl - INFO - +top1_acc 0.9242 +top5_acc 0.9878 +2025-05-15 09:34:04,352 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_134.pth was removed +2025-05-15 09:34:05,624 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2025-05-15 09:34:05,624 - pyskl - INFO - Best top1_acc is 0.9242 at 135 epoch. +2025-05-15 09:34:05,627 - pyskl - INFO - Epoch(val) [135][1031] top1_acc: 0.9242, top5_acc: 0.9878 +2025-05-15 09:35:12,948 - pyskl - INFO - Epoch [136][100/2506] lr: 6.086e-04, eta: 4:24:39, time: 0.673, data_time: 0.256, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0996, loss: 1.0996 +2025-05-15 09:35:53,239 - pyskl - INFO - Epoch [136][200/2506] lr: 6.054e-04, eta: 4:23:56, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0916, loss: 1.0916 +2025-05-15 09:36:34,061 - pyskl - INFO - Epoch [136][300/2506] lr: 6.022e-04, eta: 4:23:14, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1724, loss: 1.1724 +2025-05-15 09:37:15,326 - pyskl - INFO - Epoch [136][400/2506] lr: 5.990e-04, eta: 4:22:31, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1301, loss: 1.1301 +2025-05-15 09:37:56,035 - pyskl - INFO - Epoch [136][500/2506] lr: 5.958e-04, eta: 4:21:49, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1479, loss: 1.1479 +2025-05-15 09:38:37,343 - pyskl - INFO - Epoch [136][600/2506] lr: 5.926e-04, eta: 4:21:06, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1410, loss: 1.1410 +2025-05-15 09:39:18,338 - pyskl - INFO - Epoch [136][700/2506] lr: 5.894e-04, eta: 4:20:24, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0945, loss: 1.0945 +2025-05-15 09:39:58,342 - pyskl - INFO - Epoch [136][800/2506] lr: 5.863e-04, eta: 4:19:41, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1057, loss: 1.1057 +2025-05-15 09:40:39,915 - pyskl - INFO - Epoch [136][900/2506] lr: 5.831e-04, eta: 4:18:59, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1271, loss: 1.1271 +2025-05-15 09:41:21,504 - pyskl - INFO - Epoch [136][1000/2506] lr: 5.800e-04, eta: 4:18:16, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0926, loss: 1.0926 +2025-05-15 09:42:02,940 - pyskl - INFO - Epoch [136][1100/2506] lr: 5.768e-04, eta: 4:17:34, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0866, loss: 1.0866 +2025-05-15 09:42:44,432 - pyskl - INFO - Epoch [136][1200/2506] lr: 5.737e-04, eta: 4:16:51, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1216, loss: 1.1216 +2025-05-15 09:43:26,148 - pyskl - INFO - Epoch [136][1300/2506] lr: 5.706e-04, eta: 4:16:09, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1149, loss: 1.1149 +2025-05-15 09:44:07,153 - pyskl - INFO - Epoch [136][1400/2506] lr: 5.674e-04, eta: 4:15:27, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1355, loss: 1.1355 +2025-05-15 09:44:48,429 - pyskl - INFO - Epoch [136][1500/2506] lr: 5.643e-04, eta: 4:14:44, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1118, loss: 1.1118 +2025-05-15 09:45:28,809 - pyskl - INFO - Epoch [136][1600/2506] lr: 5.612e-04, eta: 4:14:02, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0880, loss: 1.0880 +2025-05-15 09:46:09,216 - pyskl - INFO - Epoch [136][1700/2506] lr: 5.581e-04, eta: 4:13:19, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0820, loss: 1.0820 +2025-05-15 09:46:50,316 - pyskl - INFO - Epoch [136][1800/2506] lr: 5.551e-04, eta: 4:12:36, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1262, loss: 1.1262 +2025-05-15 09:47:31,631 - pyskl - INFO - Epoch [136][1900/2506] lr: 5.520e-04, eta: 4:11:54, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1494, loss: 1.1494 +2025-05-15 09:48:12,621 - pyskl - INFO - Epoch [136][2000/2506] lr: 5.489e-04, eta: 4:11:12, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0977, loss: 1.0977 +2025-05-15 09:48:52,293 - pyskl - INFO - Epoch [136][2100/2506] lr: 5.459e-04, eta: 4:10:29, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1239, loss: 1.1239 +2025-05-15 09:49:32,234 - pyskl - INFO - Epoch [136][2200/2506] lr: 5.428e-04, eta: 4:09:46, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1178, loss: 1.1178 +2025-05-15 09:50:12,039 - pyskl - INFO - Epoch [136][2300/2506] lr: 5.398e-04, eta: 4:09:04, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1157, loss: 1.1157 +2025-05-15 09:50:51,867 - pyskl - INFO - Epoch [136][2400/2506] lr: 5.367e-04, eta: 4:08:21, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1531, loss: 1.1531 +2025-05-15 09:51:33,134 - pyskl - INFO - Epoch [136][2500/2506] lr: 5.337e-04, eta: 4:07:39, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1347, loss: 1.1347 +2025-05-15 09:51:36,570 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-05-15 09:52:49,353 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 09:52:49,448 - pyskl - INFO - +top1_acc 0.9241 +top5_acc 0.9882 +2025-05-15 09:52:49,451 - pyskl - INFO - Epoch(val) [136][1031] top1_acc: 0.9241, top5_acc: 0.9882 +2025-05-15 09:53:57,838 - pyskl - INFO - Epoch [137][100/2506] lr: 5.305e-04, eta: 4:06:56, time: 0.684, data_time: 0.268, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1469, loss: 1.1469 +2025-05-15 09:54:39,704 - pyskl - INFO - Epoch [137][200/2506] lr: 5.275e-04, eta: 4:06:14, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1450, loss: 1.1450 +2025-05-15 09:55:20,948 - pyskl - INFO - Epoch [137][300/2506] lr: 5.245e-04, eta: 4:05:31, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1185, loss: 1.1185 +2025-05-15 09:56:01,985 - pyskl - INFO - Epoch [137][400/2506] lr: 5.215e-04, eta: 4:04:49, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1169, loss: 1.1169 +2025-05-15 09:56:43,667 - pyskl - INFO - Epoch [137][500/2506] lr: 5.185e-04, eta: 4:04:06, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1198, loss: 1.1198 +2025-05-15 09:57:25,196 - pyskl - INFO - Epoch [137][600/2506] lr: 5.156e-04, eta: 4:03:24, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1264, loss: 1.1264 +2025-05-15 09:58:05,636 - pyskl - INFO - Epoch [137][700/2506] lr: 5.126e-04, eta: 4:02:41, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1195, loss: 1.1195 +2025-05-15 09:58:45,948 - pyskl - INFO - Epoch [137][800/2506] lr: 5.096e-04, eta: 4:01:59, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1385, loss: 1.1385 +2025-05-15 09:59:25,965 - pyskl - INFO - Epoch [137][900/2506] lr: 5.067e-04, eta: 4:01:16, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1184, loss: 1.1184 +2025-05-15 10:00:07,684 - pyskl - INFO - Epoch [137][1000/2506] lr: 5.038e-04, eta: 4:00:34, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1194, loss: 1.1194 +2025-05-15 10:00:48,005 - pyskl - INFO - Epoch [137][1100/2506] lr: 5.008e-04, eta: 3:59:51, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1123, loss: 1.1123 +2025-05-15 10:01:27,859 - pyskl - INFO - Epoch [137][1200/2506] lr: 4.979e-04, eta: 3:59:09, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0948, loss: 1.0948 +2025-05-15 10:02:08,800 - pyskl - INFO - Epoch [137][1300/2506] lr: 4.950e-04, eta: 3:58:26, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0908, loss: 1.0908 +2025-05-15 10:02:48,452 - pyskl - INFO - Epoch [137][1400/2506] lr: 4.921e-04, eta: 3:57:44, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0837, loss: 1.0837 +2025-05-15 10:03:28,808 - pyskl - INFO - Epoch [137][1500/2506] lr: 4.892e-04, eta: 3:57:01, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1040, loss: 1.1040 +2025-05-15 10:04:08,867 - pyskl - INFO - Epoch [137][1600/2506] lr: 4.863e-04, eta: 3:56:18, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1156, loss: 1.1156 +2025-05-15 10:04:49,099 - pyskl - INFO - Epoch [137][1700/2506] lr: 4.834e-04, eta: 3:55:36, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1079, loss: 1.1079 +2025-05-15 10:05:30,559 - pyskl - INFO - Epoch [137][1800/2506] lr: 4.805e-04, eta: 3:54:54, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0778, loss: 1.0778 +2025-05-15 10:06:11,983 - pyskl - INFO - Epoch [137][1900/2506] lr: 4.777e-04, eta: 3:54:11, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1172, loss: 1.1172 +2025-05-15 10:06:53,805 - pyskl - INFO - Epoch [137][2000/2506] lr: 4.748e-04, eta: 3:53:29, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1074, loss: 1.1074 +2025-05-15 10:07:35,217 - pyskl - INFO - Epoch [137][2100/2506] lr: 4.720e-04, eta: 3:52:46, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0684, loss: 1.0684 +2025-05-15 10:08:16,418 - pyskl - INFO - Epoch [137][2200/2506] lr: 4.691e-04, eta: 3:52:04, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0802, loss: 1.0802 +2025-05-15 10:08:56,706 - pyskl - INFO - Epoch [137][2300/2506] lr: 4.663e-04, eta: 3:51:21, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1285, loss: 1.1285 +2025-05-15 10:09:37,041 - pyskl - INFO - Epoch [137][2400/2506] lr: 4.635e-04, eta: 3:50:39, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1055, loss: 1.1055 +2025-05-15 10:10:17,725 - pyskl - INFO - Epoch [137][2500/2506] lr: 4.607e-04, eta: 3:49:56, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0886, loss: 1.0886 +2025-05-15 10:10:20,840 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-05-15 10:11:32,838 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 10:11:32,934 - pyskl - INFO - +top1_acc 0.9234 +top5_acc 0.9873 +2025-05-15 10:11:32,937 - pyskl - INFO - Epoch(val) [137][1031] top1_acc: 0.9234, top5_acc: 0.9873 +2025-05-15 10:12:40,582 - pyskl - INFO - Epoch [138][100/2506] lr: 4.577e-04, eta: 3:49:13, time: 0.676, data_time: 0.265, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1051, loss: 1.1051 +2025-05-15 10:13:22,021 - pyskl - INFO - Epoch [138][200/2506] lr: 4.549e-04, eta: 3:48:31, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1093, loss: 1.1093 +2025-05-15 10:14:03,293 - pyskl - INFO - Epoch [138][300/2506] lr: 4.521e-04, eta: 3:47:49, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1140, loss: 1.1140 +2025-05-15 10:14:43,683 - pyskl - INFO - Epoch [138][400/2506] lr: 4.493e-04, eta: 3:47:06, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1064, loss: 1.1064 +2025-05-15 10:15:24,915 - pyskl - INFO - Epoch [138][500/2506] lr: 4.466e-04, eta: 3:46:24, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1061, loss: 1.1061 +2025-05-15 10:16:05,773 - pyskl - INFO - Epoch [138][600/2506] lr: 4.438e-04, eta: 3:45:41, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1068, loss: 1.1068 +2025-05-15 10:16:47,006 - pyskl - INFO - Epoch [138][700/2506] lr: 4.410e-04, eta: 3:44:59, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1144, loss: 1.1144 +2025-05-15 10:17:28,293 - pyskl - INFO - Epoch [138][800/2506] lr: 4.383e-04, eta: 3:44:16, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0558, loss: 1.0558 +2025-05-15 10:18:08,508 - pyskl - INFO - Epoch [138][900/2506] lr: 4.356e-04, eta: 3:43:34, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1297, loss: 1.1297 +2025-05-15 10:18:50,431 - pyskl - INFO - Epoch [138][1000/2506] lr: 4.328e-04, eta: 3:42:51, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1251, loss: 1.1251 +2025-05-15 10:19:32,074 - pyskl - INFO - Epoch [138][1100/2506] lr: 4.301e-04, eta: 3:42:09, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0682, loss: 1.0682 +2025-05-15 10:20:12,415 - pyskl - INFO - Epoch [138][1200/2506] lr: 4.274e-04, eta: 3:41:26, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0547, loss: 1.0547 +2025-05-15 10:20:52,382 - pyskl - INFO - Epoch [138][1300/2506] lr: 4.247e-04, eta: 3:40:44, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1125, loss: 1.1125 +2025-05-15 10:21:31,738 - pyskl - INFO - Epoch [138][1400/2506] lr: 4.220e-04, eta: 3:40:01, time: 0.394, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0830, loss: 1.0830 +2025-05-15 10:22:11,839 - pyskl - INFO - Epoch [138][1500/2506] lr: 4.193e-04, eta: 3:39:19, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1190, loss: 1.1190 +2025-05-15 10:22:51,813 - pyskl - INFO - Epoch [138][1600/2506] lr: 4.166e-04, eta: 3:38:36, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0952, loss: 1.0952 +2025-05-15 10:23:32,280 - pyskl - INFO - Epoch [138][1700/2506] lr: 4.140e-04, eta: 3:37:54, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0857, loss: 1.0857 +2025-05-15 10:24:13,237 - pyskl - INFO - Epoch [138][1800/2506] lr: 4.113e-04, eta: 3:37:11, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0469, loss: 1.0469 +2025-05-15 10:24:54,868 - pyskl - INFO - Epoch [138][1900/2506] lr: 4.086e-04, eta: 3:36:29, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1048, loss: 1.1048 +2025-05-15 10:25:35,760 - pyskl - INFO - Epoch [138][2000/2506] lr: 4.060e-04, eta: 3:35:46, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1074, loss: 1.1074 +2025-05-15 10:26:16,933 - pyskl - INFO - Epoch [138][2100/2506] lr: 4.034e-04, eta: 3:35:04, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1006, loss: 1.1006 +2025-05-15 10:26:56,963 - pyskl - INFO - Epoch [138][2200/2506] lr: 4.007e-04, eta: 3:34:21, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0956, loss: 1.0956 +2025-05-15 10:27:38,552 - pyskl - INFO - Epoch [138][2300/2506] lr: 3.981e-04, eta: 3:33:39, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.0535, loss: 1.0535 +2025-05-15 10:28:20,453 - pyskl - INFO - Epoch [138][2400/2506] lr: 3.955e-04, eta: 3:32:56, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1078, loss: 1.1078 +2025-05-15 10:29:02,275 - pyskl - INFO - Epoch [138][2500/2506] lr: 3.929e-04, eta: 3:32:14, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0965, loss: 1.0965 +2025-05-15 10:29:05,520 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-05-15 10:30:17,127 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 10:30:17,197 - pyskl - INFO - +top1_acc 0.9241 +top5_acc 0.9884 +2025-05-15 10:30:17,200 - pyskl - INFO - Epoch(val) [138][1031] top1_acc: 0.9241, top5_acc: 0.9884 +2025-05-15 10:31:25,294 - pyskl - INFO - Epoch [139][100/2506] lr: 3.901e-04, eta: 3:31:31, time: 0.681, data_time: 0.270, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1193, loss: 1.1193 +2025-05-15 10:32:05,168 - pyskl - INFO - Epoch [139][200/2506] lr: 3.876e-04, eta: 3:30:49, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1143, loss: 1.1143 +2025-05-15 10:32:46,188 - pyskl - INFO - Epoch [139][300/2506] lr: 3.850e-04, eta: 3:30:06, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.0897, loss: 1.0897 +2025-05-15 10:33:26,568 - pyskl - INFO - Epoch [139][400/2506] lr: 3.824e-04, eta: 3:29:24, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1132, loss: 1.1132 +2025-05-15 10:34:07,081 - pyskl - INFO - Epoch [139][500/2506] lr: 3.799e-04, eta: 3:28:41, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0714, loss: 1.0714 +2025-05-15 10:34:48,896 - pyskl - INFO - Epoch [139][600/2506] lr: 3.773e-04, eta: 3:27:59, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1068, loss: 1.1068 +2025-05-15 10:35:30,841 - pyskl - INFO - Epoch [139][700/2506] lr: 3.748e-04, eta: 3:27:16, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0966, loss: 1.0966 +2025-05-15 10:36:11,912 - pyskl - INFO - Epoch [139][800/2506] lr: 3.722e-04, eta: 3:26:34, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1082, loss: 1.1082 +2025-05-15 10:36:53,132 - pyskl - INFO - Epoch [139][900/2506] lr: 3.697e-04, eta: 3:25:52, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1084, loss: 1.1084 +2025-05-15 10:37:34,487 - pyskl - INFO - Epoch [139][1000/2506] lr: 3.672e-04, eta: 3:25:09, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1027, loss: 1.1027 +2025-05-15 10:38:15,486 - pyskl - INFO - Epoch [139][1100/2506] lr: 3.647e-04, eta: 3:24:27, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0974, loss: 1.0974 +2025-05-15 10:38:57,051 - pyskl - INFO - Epoch [139][1200/2506] lr: 3.622e-04, eta: 3:23:44, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0768, loss: 1.0768 +2025-05-15 10:39:37,968 - pyskl - INFO - Epoch [139][1300/2506] lr: 3.597e-04, eta: 3:23:02, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0578, loss: 1.0578 +2025-05-15 10:40:18,969 - pyskl - INFO - Epoch [139][1400/2506] lr: 3.572e-04, eta: 3:22:19, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1089, loss: 1.1089 +2025-05-15 10:40:59,573 - pyskl - INFO - Epoch [139][1500/2506] lr: 3.547e-04, eta: 3:21:37, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0891, loss: 1.0891 +2025-05-15 10:41:40,860 - pyskl - INFO - Epoch [139][1600/2506] lr: 3.523e-04, eta: 3:20:54, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0960, loss: 1.0960 +2025-05-15 10:42:22,288 - pyskl - INFO - Epoch [139][1700/2506] lr: 3.498e-04, eta: 3:20:12, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0919, loss: 1.0919 +2025-05-15 10:43:03,373 - pyskl - INFO - Epoch [139][1800/2506] lr: 3.473e-04, eta: 3:19:30, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1017, loss: 1.1017 +2025-05-15 10:43:45,262 - pyskl - INFO - Epoch [139][1900/2506] lr: 3.449e-04, eta: 3:18:47, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0572, loss: 1.0572 +2025-05-15 10:44:26,290 - pyskl - INFO - Epoch [139][2000/2506] lr: 3.425e-04, eta: 3:18:05, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1094, loss: 1.1094 +2025-05-15 10:45:07,483 - pyskl - INFO - Epoch [139][2100/2506] lr: 3.400e-04, eta: 3:17:22, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0876, loss: 1.0876 +2025-05-15 10:45:48,139 - pyskl - INFO - Epoch [139][2200/2506] lr: 3.376e-04, eta: 3:16:40, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0707, loss: 1.0707 +2025-05-15 10:46:29,408 - pyskl - INFO - Epoch [139][2300/2506] lr: 3.352e-04, eta: 3:15:57, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0783, loss: 1.0783 +2025-05-15 10:47:10,977 - pyskl - INFO - Epoch [139][2400/2506] lr: 3.328e-04, eta: 3:15:15, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0817, loss: 1.0817 +2025-05-15 10:47:52,728 - pyskl - INFO - Epoch [139][2500/2506] lr: 3.304e-04, eta: 3:14:33, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1089, loss: 1.1089 +2025-05-15 10:47:55,897 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-05-15 10:49:08,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 10:49:08,350 - pyskl - INFO - +top1_acc 0.9262 +top5_acc 0.9879 +2025-05-15 10:49:08,423 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_135.pth was removed +2025-05-15 10:49:09,907 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2025-05-15 10:49:09,907 - pyskl - INFO - Best top1_acc is 0.9262 at 139 epoch. +2025-05-15 10:49:09,911 - pyskl - INFO - Epoch(val) [139][1031] top1_acc: 0.9262, top5_acc: 0.9879 +2025-05-15 10:50:17,204 - pyskl - INFO - Epoch [140][100/2506] lr: 3.279e-04, eta: 3:13:50, time: 0.673, data_time: 0.262, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1104, loss: 1.1104 +2025-05-15 10:50:57,788 - pyskl - INFO - Epoch [140][200/2506] lr: 3.255e-04, eta: 3:13:07, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0919, loss: 1.0919 +2025-05-15 10:51:38,544 - pyskl - INFO - Epoch [140][300/2506] lr: 3.232e-04, eta: 3:12:25, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0982, loss: 1.0982 +2025-05-15 10:52:18,584 - pyskl - INFO - Epoch [140][400/2506] lr: 3.208e-04, eta: 3:11:42, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0967, loss: 1.0967 +2025-05-15 10:52:59,479 - pyskl - INFO - Epoch [140][500/2506] lr: 3.185e-04, eta: 3:11:00, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0535, loss: 1.0535 +2025-05-15 10:53:40,921 - pyskl - INFO - Epoch [140][600/2506] lr: 3.161e-04, eta: 3:10:17, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0682, loss: 1.0682 +2025-05-15 10:54:22,920 - pyskl - INFO - Epoch [140][700/2506] lr: 3.138e-04, eta: 3:09:35, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1284, loss: 1.1284 +2025-05-15 10:55:04,955 - pyskl - INFO - Epoch [140][800/2506] lr: 3.115e-04, eta: 3:08:52, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1006, loss: 1.1006 +2025-05-15 10:55:46,698 - pyskl - INFO - Epoch [140][900/2506] lr: 3.092e-04, eta: 3:08:10, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0907, loss: 1.0907 +2025-05-15 10:56:28,406 - pyskl - INFO - Epoch [140][1000/2506] lr: 3.069e-04, eta: 3:07:28, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1049, loss: 1.1049 +2025-05-15 10:57:09,798 - pyskl - INFO - Epoch [140][1100/2506] lr: 3.046e-04, eta: 3:06:45, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1061, loss: 1.1061 +2025-05-15 10:57:51,452 - pyskl - INFO - Epoch [140][1200/2506] lr: 3.023e-04, eta: 3:06:03, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0622, loss: 1.0622 +2025-05-15 10:58:33,068 - pyskl - INFO - Epoch [140][1300/2506] lr: 3.000e-04, eta: 3:05:21, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0934, loss: 1.0934 +2025-05-15 10:59:13,989 - pyskl - INFO - Epoch [140][1400/2506] lr: 2.977e-04, eta: 3:04:38, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1003, loss: 1.1003 +2025-05-15 10:59:55,348 - pyskl - INFO - Epoch [140][1500/2506] lr: 2.955e-04, eta: 3:03:56, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1293, loss: 1.1293 +2025-05-15 11:00:36,528 - pyskl - INFO - Epoch [140][1600/2506] lr: 2.932e-04, eta: 3:03:13, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0898, loss: 1.0898 +2025-05-15 11:01:17,389 - pyskl - INFO - Epoch [140][1700/2506] lr: 2.910e-04, eta: 3:02:31, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1082, loss: 1.1082 +2025-05-15 11:01:59,000 - pyskl - INFO - Epoch [140][1800/2506] lr: 2.887e-04, eta: 3:01:48, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0619, loss: 1.0619 +2025-05-15 11:02:39,913 - pyskl - INFO - Epoch [140][1900/2506] lr: 2.865e-04, eta: 3:01:06, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0783, loss: 1.0783 +2025-05-15 11:03:21,532 - pyskl - INFO - Epoch [140][2000/2506] lr: 2.843e-04, eta: 3:00:24, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0434, loss: 1.0434 +2025-05-15 11:04:02,958 - pyskl - INFO - Epoch [140][2100/2506] lr: 2.821e-04, eta: 2:59:41, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0742, loss: 1.0742 +2025-05-15 11:04:44,553 - pyskl - INFO - Epoch [140][2200/2506] lr: 2.799e-04, eta: 2:58:59, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0947, loss: 1.0947 +2025-05-15 11:05:25,576 - pyskl - INFO - Epoch [140][2300/2506] lr: 2.777e-04, eta: 2:58:16, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0859, loss: 1.0859 +2025-05-15 11:06:06,505 - pyskl - INFO - Epoch [140][2400/2506] lr: 2.755e-04, eta: 2:57:34, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0591, loss: 1.0591 +2025-05-15 11:06:47,877 - pyskl - INFO - Epoch [140][2500/2506] lr: 2.733e-04, eta: 2:56:51, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0833, loss: 1.0833 +2025-05-15 11:06:50,928 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-05-15 11:08:03,970 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 11:08:04,066 - pyskl - INFO - +top1_acc 0.9256 +top5_acc 0.9875 +2025-05-15 11:08:04,069 - pyskl - INFO - Epoch(val) [140][1031] top1_acc: 0.9256, top5_acc: 0.9875 +2025-05-15 11:09:13,693 - pyskl - INFO - Epoch [141][100/2506] lr: 2.710e-04, eta: 2:56:08, time: 0.696, data_time: 0.279, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0874, loss: 1.0874 +2025-05-15 11:09:54,723 - pyskl - INFO - Epoch [141][200/2506] lr: 2.688e-04, eta: 2:55:26, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0773, loss: 1.0773 +2025-05-15 11:10:36,578 - pyskl - INFO - Epoch [141][300/2506] lr: 2.667e-04, eta: 2:54:44, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0781, loss: 1.0781 +2025-05-15 11:11:17,852 - pyskl - INFO - Epoch [141][400/2506] lr: 2.646e-04, eta: 2:54:01, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0636, loss: 1.0636 +2025-05-15 11:11:59,152 - pyskl - INFO - Epoch [141][500/2506] lr: 2.624e-04, eta: 2:53:19, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0903, loss: 1.0903 +2025-05-15 11:12:41,194 - pyskl - INFO - Epoch [141][600/2506] lr: 2.603e-04, eta: 2:52:36, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0791, loss: 1.0791 +2025-05-15 11:13:22,551 - pyskl - INFO - Epoch [141][700/2506] lr: 2.582e-04, eta: 2:51:54, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0742, loss: 1.0742 +2025-05-15 11:14:04,520 - pyskl - INFO - Epoch [141][800/2506] lr: 2.561e-04, eta: 2:51:12, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0908, loss: 1.0908 +2025-05-15 11:14:45,529 - pyskl - INFO - Epoch [141][900/2506] lr: 2.540e-04, eta: 2:50:29, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1127, loss: 1.1127 +2025-05-15 11:15:27,106 - pyskl - INFO - Epoch [141][1000/2506] lr: 2.519e-04, eta: 2:49:47, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1212, loss: 1.1212 +2025-05-15 11:16:07,595 - pyskl - INFO - Epoch [141][1100/2506] lr: 2.498e-04, eta: 2:49:04, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0736, loss: 1.0736 +2025-05-15 11:16:49,116 - pyskl - INFO - Epoch [141][1200/2506] lr: 2.477e-04, eta: 2:48:22, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0977, loss: 1.0977 +2025-05-15 11:17:29,193 - pyskl - INFO - Epoch [141][1300/2506] lr: 2.457e-04, eta: 2:47:39, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0313, loss: 1.0313 +2025-05-15 11:18:09,886 - pyskl - INFO - Epoch [141][1400/2506] lr: 2.436e-04, eta: 2:46:57, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0736, loss: 1.0736 +2025-05-15 11:18:50,261 - pyskl - INFO - Epoch [141][1500/2506] lr: 2.416e-04, eta: 2:46:14, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0885, loss: 1.0885 +2025-05-15 11:19:32,000 - pyskl - INFO - Epoch [141][1600/2506] lr: 2.395e-04, eta: 2:45:32, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0993, loss: 1.0993 +2025-05-15 11:20:14,041 - pyskl - INFO - Epoch [141][1700/2506] lr: 2.375e-04, eta: 2:44:50, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0925, loss: 1.0925 +2025-05-15 11:20:56,062 - pyskl - INFO - Epoch [141][1800/2506] lr: 2.355e-04, eta: 2:44:07, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0536, loss: 1.0536 +2025-05-15 11:21:36,717 - pyskl - INFO - Epoch [141][1900/2506] lr: 2.334e-04, eta: 2:43:25, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0550, loss: 1.0550 +2025-05-15 11:22:17,620 - pyskl - INFO - Epoch [141][2000/2506] lr: 2.314e-04, eta: 2:42:42, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0763, loss: 1.0763 +2025-05-15 11:22:58,953 - pyskl - INFO - Epoch [141][2100/2506] lr: 2.294e-04, eta: 2:42:00, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0985, loss: 1.0985 +2025-05-15 11:23:40,654 - pyskl - INFO - Epoch [141][2200/2506] lr: 2.275e-04, eta: 2:41:18, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0905, loss: 1.0905 +2025-05-15 11:24:21,847 - pyskl - INFO - Epoch [141][2300/2506] lr: 2.255e-04, eta: 2:40:35, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1117, loss: 1.1117 +2025-05-15 11:25:02,912 - pyskl - INFO - Epoch [141][2400/2506] lr: 2.235e-04, eta: 2:39:53, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1098, loss: 1.1098 +2025-05-15 11:25:44,616 - pyskl - INFO - Epoch [141][2500/2506] lr: 2.215e-04, eta: 2:39:11, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0623, loss: 1.0623 +2025-05-15 11:25:47,941 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-05-15 11:27:00,212 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 11:27:00,277 - pyskl - INFO - +top1_acc 0.9269 +top5_acc 0.9876 +2025-05-15 11:27:00,349 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_139.pth was removed +2025-05-15 11:27:01,644 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. +2025-05-15 11:27:01,645 - pyskl - INFO - Best top1_acc is 0.9269 at 141 epoch. +2025-05-15 11:27:01,648 - pyskl - INFO - Epoch(val) [141][1031] top1_acc: 0.9269, top5_acc: 0.9876 +2025-05-15 11:28:08,222 - pyskl - INFO - Epoch [142][100/2506] lr: 2.195e-04, eta: 2:38:27, time: 0.666, data_time: 0.249, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0850, loss: 1.0850 +2025-05-15 11:28:49,379 - pyskl - INFO - Epoch [142][200/2506] lr: 2.175e-04, eta: 2:37:45, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0830, loss: 1.0830 +2025-05-15 11:29:30,561 - pyskl - INFO - Epoch [142][300/2506] lr: 2.156e-04, eta: 2:37:02, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1271, loss: 1.1271 +2025-05-15 11:30:10,800 - pyskl - INFO - Epoch [142][400/2506] lr: 2.137e-04, eta: 2:36:20, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0767, loss: 1.0767 +2025-05-15 11:30:52,456 - pyskl - INFO - Epoch [142][500/2506] lr: 2.117e-04, eta: 2:35:37, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1127, loss: 1.1127 +2025-05-15 11:31:34,749 - pyskl - INFO - Epoch [142][600/2506] lr: 2.098e-04, eta: 2:34:55, time: 0.423, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0584, loss: 1.0584 +2025-05-15 11:32:16,858 - pyskl - INFO - Epoch [142][700/2506] lr: 2.079e-04, eta: 2:34:13, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0726, loss: 1.0726 +2025-05-15 11:32:58,389 - pyskl - INFO - Epoch [142][800/2506] lr: 2.060e-04, eta: 2:33:30, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0635, loss: 1.0635 +2025-05-15 11:33:39,632 - pyskl - INFO - Epoch [142][900/2506] lr: 2.042e-04, eta: 2:32:48, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1042, loss: 1.1042 +2025-05-15 11:34:19,857 - pyskl - INFO - Epoch [142][1000/2506] lr: 2.023e-04, eta: 2:32:05, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1003, loss: 1.1003 +2025-05-15 11:35:00,960 - pyskl - INFO - Epoch [142][1100/2506] lr: 2.004e-04, eta: 2:31:23, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0597, loss: 1.0597 +2025-05-15 11:35:42,266 - pyskl - INFO - Epoch [142][1200/2506] lr: 1.986e-04, eta: 2:30:41, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0914, loss: 1.0914 +2025-05-15 11:36:23,595 - pyskl - INFO - Epoch [142][1300/2506] lr: 1.967e-04, eta: 2:29:58, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0753, loss: 1.0753 +2025-05-15 11:37:04,300 - pyskl - INFO - Epoch [142][1400/2506] lr: 1.949e-04, eta: 2:29:16, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0672, loss: 1.0672 +2025-05-15 11:37:46,104 - pyskl - INFO - Epoch [142][1500/2506] lr: 1.930e-04, eta: 2:28:33, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0813, loss: 1.0813 +2025-05-15 11:38:27,816 - pyskl - INFO - Epoch [142][1600/2506] lr: 1.912e-04, eta: 2:27:51, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0765, loss: 1.0765 +2025-05-15 11:39:09,824 - pyskl - INFO - Epoch [142][1700/2506] lr: 1.894e-04, eta: 2:27:09, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0731, loss: 1.0731 +2025-05-15 11:39:51,572 - pyskl - INFO - Epoch [142][1800/2506] lr: 1.876e-04, eta: 2:26:26, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1066, loss: 1.1066 +2025-05-15 11:40:33,268 - pyskl - INFO - Epoch [142][1900/2506] lr: 1.858e-04, eta: 2:25:44, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0747, loss: 1.0747 +2025-05-15 11:41:13,571 - pyskl - INFO - Epoch [142][2000/2506] lr: 1.840e-04, eta: 2:25:01, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0856, loss: 1.0856 +2025-05-15 11:41:54,371 - pyskl - INFO - Epoch [142][2100/2506] lr: 1.822e-04, eta: 2:24:19, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0832, loss: 1.0832 +2025-05-15 11:42:34,885 - pyskl - INFO - Epoch [142][2200/2506] lr: 1.804e-04, eta: 2:23:37, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0809, loss: 1.0809 +2025-05-15 11:43:15,708 - pyskl - INFO - Epoch [142][2300/2506] lr: 1.787e-04, eta: 2:22:54, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0806, loss: 1.0806 +2025-05-15 11:43:56,820 - pyskl - INFO - Epoch [142][2400/2506] lr: 1.769e-04, eta: 2:22:12, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0832, loss: 1.0832 +2025-05-15 11:44:37,175 - pyskl - INFO - Epoch [142][2500/2506] lr: 1.752e-04, eta: 2:21:29, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0617, loss: 1.0617 +2025-05-15 11:44:40,328 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-05-15 11:45:52,643 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 11:45:52,708 - pyskl - INFO - +top1_acc 0.9276 +top5_acc 0.9873 +2025-05-15 11:45:52,778 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_141.pth was removed +2025-05-15 11:45:54,087 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. +2025-05-15 11:45:54,088 - pyskl - INFO - Best top1_acc is 0.9276 at 142 epoch. +2025-05-15 11:45:54,091 - pyskl - INFO - Epoch(val) [142][1031] top1_acc: 0.9276, top5_acc: 0.9873 +2025-05-15 11:47:00,516 - pyskl - INFO - Epoch [143][100/2506] lr: 1.733e-04, eta: 2:20:46, time: 0.664, data_time: 0.261, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0932, loss: 1.0932 +2025-05-15 11:47:41,309 - pyskl - INFO - Epoch [143][200/2506] lr: 1.716e-04, eta: 2:20:03, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0821, loss: 1.0821 +2025-05-15 11:48:21,773 - pyskl - INFO - Epoch [143][300/2506] lr: 1.699e-04, eta: 2:19:21, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0571, loss: 1.0571 +2025-05-15 11:49:02,386 - pyskl - INFO - Epoch [143][400/2506] lr: 1.682e-04, eta: 2:18:38, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0582, loss: 1.0582 +2025-05-15 11:49:44,234 - pyskl - INFO - Epoch [143][500/2506] lr: 1.665e-04, eta: 2:17:56, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1218, loss: 1.1218 +2025-05-15 11:50:26,053 - pyskl - INFO - Epoch [143][600/2506] lr: 1.648e-04, eta: 2:17:14, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0620, loss: 1.0620 +2025-05-15 11:51:08,076 - pyskl - INFO - Epoch [143][700/2506] lr: 1.631e-04, eta: 2:16:31, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0561, loss: 1.0561 +2025-05-15 11:51:49,987 - pyskl - INFO - Epoch [143][800/2506] lr: 1.614e-04, eta: 2:15:49, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0887, loss: 1.0887 +2025-05-15 11:52:31,477 - pyskl - INFO - Epoch [143][900/2506] lr: 1.597e-04, eta: 2:15:06, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0617, loss: 1.0617 +2025-05-15 11:53:13,063 - pyskl - INFO - Epoch [143][1000/2506] lr: 1.581e-04, eta: 2:14:24, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0815, loss: 1.0815 +2025-05-15 11:53:54,577 - pyskl - INFO - Epoch [143][1100/2506] lr: 1.564e-04, eta: 2:13:42, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1078, loss: 1.1078 +2025-05-15 11:54:36,088 - pyskl - INFO - Epoch [143][1200/2506] lr: 1.548e-04, eta: 2:12:59, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0749, loss: 1.0749 +2025-05-15 11:55:17,751 - pyskl - INFO - Epoch [143][1300/2506] lr: 1.531e-04, eta: 2:12:17, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1047, loss: 1.1047 +2025-05-15 11:55:59,228 - pyskl - INFO - Epoch [143][1400/2506] lr: 1.515e-04, eta: 2:11:35, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0814, loss: 1.0814 +2025-05-15 11:56:41,492 - pyskl - INFO - Epoch [143][1500/2506] lr: 1.499e-04, eta: 2:10:52, time: 0.423, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1103, loss: 1.1103 +2025-05-15 11:57:23,012 - pyskl - INFO - Epoch [143][1600/2506] lr: 1.483e-04, eta: 2:10:10, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0752, loss: 1.0752 +2025-05-15 11:58:03,992 - pyskl - INFO - Epoch [143][1700/2506] lr: 1.467e-04, eta: 2:09:27, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0446, loss: 1.0446 +2025-05-15 11:58:44,716 - pyskl - INFO - Epoch [143][1800/2506] lr: 1.451e-04, eta: 2:08:45, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0873, loss: 1.0873 +2025-05-15 11:59:25,653 - pyskl - INFO - Epoch [143][1900/2506] lr: 1.435e-04, eta: 2:08:03, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0705, loss: 1.0705 +2025-05-15 12:00:07,348 - pyskl - INFO - Epoch [143][2000/2506] lr: 1.419e-04, eta: 2:07:20, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0810, loss: 1.0810 +2025-05-15 12:00:48,388 - pyskl - INFO - Epoch [143][2100/2506] lr: 1.404e-04, eta: 2:06:38, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0922, loss: 1.0922 +2025-05-15 12:01:28,912 - pyskl - INFO - Epoch [143][2200/2506] lr: 1.388e-04, eta: 2:05:55, time: 0.405, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0581, loss: 1.0581 +2025-05-15 12:02:10,278 - pyskl - INFO - Epoch [143][2300/2506] lr: 1.373e-04, eta: 2:05:13, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0875, loss: 1.0875 +2025-05-15 12:02:50,471 - pyskl - INFO - Epoch [143][2400/2506] lr: 1.357e-04, eta: 2:04:31, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0692, loss: 1.0692 +2025-05-15 12:03:31,906 - pyskl - INFO - Epoch [143][2500/2506] lr: 1.342e-04, eta: 2:03:48, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0658, loss: 1.0658 +2025-05-15 12:03:35,052 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-05-15 12:04:46,784 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 12:04:46,878 - pyskl - INFO - +top1_acc 0.9248 +top5_acc 0.9875 +2025-05-15 12:04:46,882 - pyskl - INFO - Epoch(val) [143][1031] top1_acc: 0.9248, top5_acc: 0.9875 +2025-05-15 12:05:53,801 - pyskl - INFO - Epoch [144][100/2506] lr: 1.326e-04, eta: 2:03:04, time: 0.669, data_time: 0.267, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0919, loss: 1.0919 +2025-05-15 12:06:35,242 - pyskl - INFO - Epoch [144][200/2506] lr: 1.311e-04, eta: 2:02:22, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0689, loss: 1.0689 +2025-05-15 12:07:16,849 - pyskl - INFO - Epoch [144][300/2506] lr: 1.296e-04, eta: 2:01:40, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0681, loss: 1.0681 +2025-05-15 12:07:58,533 - pyskl - INFO - Epoch [144][400/2506] lr: 1.281e-04, eta: 2:00:57, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0967, loss: 1.0967 +2025-05-15 12:08:40,308 - pyskl - INFO - Epoch [144][500/2506] lr: 1.266e-04, eta: 2:00:15, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1382, loss: 1.1382 +2025-05-15 12:09:22,044 - pyskl - INFO - Epoch [144][600/2506] lr: 1.251e-04, eta: 1:59:33, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0694, loss: 1.0694 +2025-05-15 12:10:02,304 - pyskl - INFO - Epoch [144][700/2506] lr: 1.236e-04, eta: 1:58:50, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0532, loss: 1.0532 +2025-05-15 12:10:44,471 - pyskl - INFO - Epoch [144][800/2506] lr: 1.222e-04, eta: 1:58:08, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0408, loss: 1.0408 +2025-05-15 12:11:26,128 - pyskl - INFO - Epoch [144][900/2506] lr: 1.207e-04, eta: 1:57:25, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0710, loss: 1.0710 +2025-05-15 12:12:07,004 - pyskl - INFO - Epoch [144][1000/2506] lr: 1.193e-04, eta: 1:56:43, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0564, loss: 1.0564 +2025-05-15 12:12:48,331 - pyskl - INFO - Epoch [144][1100/2506] lr: 1.178e-04, eta: 1:56:01, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0822, loss: 1.0822 +2025-05-15 12:13:29,936 - pyskl - INFO - Epoch [144][1200/2506] lr: 1.164e-04, eta: 1:55:18, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0685, loss: 1.0685 +2025-05-15 12:14:10,618 - pyskl - INFO - Epoch [144][1300/2506] lr: 1.150e-04, eta: 1:54:36, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1033, loss: 1.1033 +2025-05-15 12:14:50,711 - pyskl - INFO - Epoch [144][1400/2506] lr: 1.136e-04, eta: 1:53:53, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1001, loss: 1.1001 +2025-05-15 12:15:31,791 - pyskl - INFO - Epoch [144][1500/2506] lr: 1.122e-04, eta: 1:53:11, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0706, loss: 1.0706 +2025-05-15 12:16:13,464 - pyskl - INFO - Epoch [144][1600/2506] lr: 1.108e-04, eta: 1:52:29, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0817, loss: 1.0817 +2025-05-15 12:16:54,864 - pyskl - INFO - Epoch [144][1700/2506] lr: 1.094e-04, eta: 1:51:46, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0722, loss: 1.0722 +2025-05-15 12:17:36,010 - pyskl - INFO - Epoch [144][1800/2506] lr: 1.080e-04, eta: 1:51:04, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0851, loss: 1.0851 +2025-05-15 12:18:16,789 - pyskl - INFO - Epoch [144][1900/2506] lr: 1.067e-04, eta: 1:50:21, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0650, loss: 1.0650 +2025-05-15 12:18:57,814 - pyskl - INFO - Epoch [144][2000/2506] lr: 1.053e-04, eta: 1:49:39, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0726, loss: 1.0726 +2025-05-15 12:19:38,848 - pyskl - INFO - Epoch [144][2100/2506] lr: 1.040e-04, eta: 1:48:57, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1116, loss: 1.1116 +2025-05-15 12:20:20,046 - pyskl - INFO - Epoch [144][2200/2506] lr: 1.026e-04, eta: 1:48:14, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0639, loss: 1.0639 +2025-05-15 12:21:01,683 - pyskl - INFO - Epoch [144][2300/2506] lr: 1.013e-04, eta: 1:47:32, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0457, loss: 1.0457 +2025-05-15 12:21:41,592 - pyskl - INFO - Epoch [144][2400/2506] lr: 9.997e-05, eta: 1:46:49, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0780, loss: 1.0780 +2025-05-15 12:22:23,359 - pyskl - INFO - Epoch [144][2500/2506] lr: 9.866e-05, eta: 1:46:07, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0769, loss: 1.0769 +2025-05-15 12:22:26,477 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-05-15 12:23:37,212 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 12:23:37,280 - pyskl - INFO - +top1_acc 0.9275 +top5_acc 0.9877 +2025-05-15 12:23:37,283 - pyskl - INFO - Epoch(val) [144][1031] top1_acc: 0.9275, top5_acc: 0.9877 +2025-05-15 12:24:43,839 - pyskl - INFO - Epoch [145][100/2506] lr: 9.727e-05, eta: 1:45:23, time: 0.666, data_time: 0.258, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0585, loss: 1.0585 +2025-05-15 12:25:25,041 - pyskl - INFO - Epoch [145][200/2506] lr: 9.598e-05, eta: 1:44:41, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0909, loss: 1.0909 +2025-05-15 12:26:05,492 - pyskl - INFO - Epoch [145][300/2506] lr: 9.469e-05, eta: 1:43:58, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0896, loss: 1.0896 +2025-05-15 12:26:47,047 - pyskl - INFO - Epoch [145][400/2506] lr: 9.341e-05, eta: 1:43:16, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0482, loss: 1.0482 +2025-05-15 12:27:27,879 - pyskl - INFO - Epoch [145][500/2506] lr: 9.214e-05, eta: 1:42:34, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0169, loss: 1.0169 +2025-05-15 12:28:09,464 - pyskl - INFO - Epoch [145][600/2506] lr: 9.088e-05, eta: 1:41:51, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0426, loss: 1.0426 +2025-05-15 12:28:50,216 - pyskl - INFO - Epoch [145][700/2506] lr: 8.963e-05, eta: 1:41:09, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0897, loss: 1.0897 +2025-05-15 12:29:32,050 - pyskl - INFO - Epoch [145][800/2506] lr: 8.838e-05, eta: 1:40:26, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0571, loss: 1.0571 +2025-05-15 12:30:13,120 - pyskl - INFO - Epoch [145][900/2506] lr: 8.715e-05, eta: 1:39:44, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0869, loss: 1.0869 +2025-05-15 12:30:54,753 - pyskl - INFO - Epoch [145][1000/2506] lr: 8.592e-05, eta: 1:39:02, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0557, loss: 1.0557 +2025-05-15 12:31:36,170 - pyskl - INFO - Epoch [145][1100/2506] lr: 8.470e-05, eta: 1:38:19, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0651, loss: 1.0651 +2025-05-15 12:32:17,180 - pyskl - INFO - Epoch [145][1200/2506] lr: 8.349e-05, eta: 1:37:37, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0462, loss: 1.0462 +2025-05-15 12:32:57,792 - pyskl - INFO - Epoch [145][1300/2506] lr: 8.229e-05, eta: 1:36:55, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0981, loss: 1.0981 +2025-05-15 12:33:38,529 - pyskl - INFO - Epoch [145][1400/2506] lr: 8.110e-05, eta: 1:36:12, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0512, loss: 1.0512 +2025-05-15 12:34:19,518 - pyskl - INFO - Epoch [145][1500/2506] lr: 7.991e-05, eta: 1:35:30, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0715, loss: 1.0715 +2025-05-15 12:35:00,571 - pyskl - INFO - Epoch [145][1600/2506] lr: 7.874e-05, eta: 1:34:47, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0739, loss: 1.0739 +2025-05-15 12:35:42,205 - pyskl - INFO - Epoch [145][1700/2506] lr: 7.757e-05, eta: 1:34:05, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0495, loss: 1.0495 +2025-05-15 12:36:23,616 - pyskl - INFO - Epoch [145][1800/2506] lr: 7.641e-05, eta: 1:33:23, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0870, loss: 1.0870 +2025-05-15 12:37:05,216 - pyskl - INFO - Epoch [145][1900/2506] lr: 7.526e-05, eta: 1:32:40, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0948, loss: 1.0948 +2025-05-15 12:37:46,955 - pyskl - INFO - Epoch [145][2000/2506] lr: 7.412e-05, eta: 1:31:58, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0788, loss: 1.0788 +2025-05-15 12:38:28,497 - pyskl - INFO - Epoch [145][2100/2506] lr: 7.299e-05, eta: 1:31:16, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0899, loss: 1.0899 +2025-05-15 12:39:09,577 - pyskl - INFO - Epoch [145][2200/2506] lr: 7.187e-05, eta: 1:30:33, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0469, loss: 1.0469 +2025-05-15 12:39:51,349 - pyskl - INFO - Epoch [145][2300/2506] lr: 7.076e-05, eta: 1:29:51, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0796, loss: 1.0796 +2025-05-15 12:40:32,692 - pyskl - INFO - Epoch [145][2400/2506] lr: 6.965e-05, eta: 1:29:09, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0500, loss: 1.0500 +2025-05-15 12:41:12,913 - pyskl - INFO - Epoch [145][2500/2506] lr: 6.855e-05, eta: 1:28:26, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0782, loss: 1.0782 +2025-05-15 12:41:15,961 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-05-15 12:42:28,128 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 12:42:28,197 - pyskl - INFO - +top1_acc 0.9273 +top5_acc 0.9876 +2025-05-15 12:42:28,200 - pyskl - INFO - Epoch(val) [145][1031] top1_acc: 0.9273, top5_acc: 0.9876 +2025-05-15 12:43:35,968 - pyskl - INFO - Epoch [146][100/2506] lr: 6.740e-05, eta: 1:27:42, time: 0.678, data_time: 0.259, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0861, loss: 1.0861 +2025-05-15 12:44:17,864 - pyskl - INFO - Epoch [146][200/2506] lr: 6.632e-05, eta: 1:27:00, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0465, loss: 1.0465 +2025-05-15 12:44:59,196 - pyskl - INFO - Epoch [146][300/2506] lr: 6.525e-05, eta: 1:26:17, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0713, loss: 1.0713 +2025-05-15 12:45:40,673 - pyskl - INFO - Epoch [146][400/2506] lr: 6.419e-05, eta: 1:25:35, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0541, loss: 1.0541 +2025-05-15 12:46:21,969 - pyskl - INFO - Epoch [146][500/2506] lr: 6.314e-05, eta: 1:24:53, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0839, loss: 1.0839 +2025-05-15 12:47:03,120 - pyskl - INFO - Epoch [146][600/2506] lr: 6.209e-05, eta: 1:24:10, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0490, loss: 1.0490 +2025-05-15 12:47:43,792 - pyskl - INFO - Epoch [146][700/2506] lr: 6.106e-05, eta: 1:23:28, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0666, loss: 1.0666 +2025-05-15 12:48:24,433 - pyskl - INFO - Epoch [146][800/2506] lr: 6.003e-05, eta: 1:22:45, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0326, loss: 1.0326 +2025-05-15 12:49:06,472 - pyskl - INFO - Epoch [146][900/2506] lr: 5.901e-05, eta: 1:22:03, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0650, loss: 1.0650 +2025-05-15 12:49:46,848 - pyskl - INFO - Epoch [146][1000/2506] lr: 5.800e-05, eta: 1:21:21, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0802, loss: 1.0802 +2025-05-15 12:50:28,086 - pyskl - INFO - Epoch [146][1100/2506] lr: 5.700e-05, eta: 1:20:38, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0853, loss: 1.0853 +2025-05-15 12:51:09,752 - pyskl - INFO - Epoch [146][1200/2506] lr: 5.601e-05, eta: 1:19:56, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0812, loss: 1.0812 +2025-05-15 12:51:51,525 - pyskl - INFO - Epoch [146][1300/2506] lr: 5.502e-05, eta: 1:19:14, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0791, loss: 1.0791 +2025-05-15 12:52:32,240 - pyskl - INFO - Epoch [146][1400/2506] lr: 5.405e-05, eta: 1:18:31, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0749, loss: 1.0749 +2025-05-15 12:53:13,070 - pyskl - INFO - Epoch [146][1500/2506] lr: 5.308e-05, eta: 1:17:49, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0805, loss: 1.0805 +2025-05-15 12:53:55,005 - pyskl - INFO - Epoch [146][1600/2506] lr: 5.213e-05, eta: 1:17:06, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0781, loss: 1.0781 +2025-05-15 12:54:36,274 - pyskl - INFO - Epoch [146][1700/2506] lr: 5.118e-05, eta: 1:16:24, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0598, loss: 1.0598 +2025-05-15 12:55:17,224 - pyskl - INFO - Epoch [146][1800/2506] lr: 5.024e-05, eta: 1:15:42, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0960, loss: 1.0960 +2025-05-15 12:55:58,026 - pyskl - INFO - Epoch [146][1900/2506] lr: 4.931e-05, eta: 1:14:59, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0725, loss: 1.0725 +2025-05-15 12:56:39,016 - pyskl - INFO - Epoch [146][2000/2506] lr: 4.838e-05, eta: 1:14:17, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0606, loss: 1.0606 +2025-05-15 12:57:20,680 - pyskl - INFO - Epoch [146][2100/2506] lr: 4.747e-05, eta: 1:13:35, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1026, loss: 1.1026 +2025-05-15 12:58:01,820 - pyskl - INFO - Epoch [146][2200/2506] lr: 4.656e-05, eta: 1:12:52, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0618, loss: 1.0618 +2025-05-15 12:58:43,592 - pyskl - INFO - Epoch [146][2300/2506] lr: 4.567e-05, eta: 1:12:10, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0598, loss: 1.0598 +2025-05-15 12:59:25,325 - pyskl - INFO - Epoch [146][2400/2506] lr: 4.478e-05, eta: 1:11:28, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0489, loss: 1.0489 +2025-05-15 13:00:06,801 - pyskl - INFO - Epoch [146][2500/2506] lr: 4.390e-05, eta: 1:10:45, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0642, loss: 1.0642 +2025-05-15 13:00:10,199 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-05-15 13:01:22,185 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 13:01:22,251 - pyskl - INFO - +top1_acc 0.9284 +top5_acc 0.9884 +2025-05-15 13:01:22,329 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/ntu60_xsub/k/best_top1_acc_epoch_142.pth was removed +2025-05-15 13:01:23,613 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_146.pth. +2025-05-15 13:01:23,614 - pyskl - INFO - Best top1_acc is 0.9284 at 146 epoch. +2025-05-15 13:01:23,617 - pyskl - INFO - Epoch(val) [146][1031] top1_acc: 0.9284, top5_acc: 0.9884 +2025-05-15 13:02:32,477 - pyskl - INFO - Epoch [147][100/2506] lr: 4.298e-05, eta: 1:10:01, time: 0.689, data_time: 0.274, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0670, loss: 1.0670 +2025-05-15 13:03:14,507 - pyskl - INFO - Epoch [147][200/2506] lr: 4.212e-05, eta: 1:09:19, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0421, loss: 1.0421 +2025-05-15 13:03:55,592 - pyskl - INFO - Epoch [147][300/2506] lr: 4.126e-05, eta: 1:08:36, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0794, loss: 1.0794 +2025-05-15 13:04:37,720 - pyskl - INFO - Epoch [147][400/2506] lr: 4.042e-05, eta: 1:07:54, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0935, loss: 1.0935 +2025-05-15 13:05:18,098 - pyskl - INFO - Epoch [147][500/2506] lr: 3.959e-05, eta: 1:07:12, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0616, loss: 1.0616 +2025-05-15 13:05:59,145 - pyskl - INFO - Epoch [147][600/2506] lr: 3.876e-05, eta: 1:06:29, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0892, loss: 1.0892 +2025-05-15 13:06:40,202 - pyskl - INFO - Epoch [147][700/2506] lr: 3.794e-05, eta: 1:05:47, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0663, loss: 1.0663 +2025-05-15 13:07:20,797 - pyskl - INFO - Epoch [147][800/2506] lr: 3.713e-05, eta: 1:05:04, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0988, loss: 1.0988 +2025-05-15 13:08:02,753 - pyskl - INFO - Epoch [147][900/2506] lr: 3.633e-05, eta: 1:04:22, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0102, loss: 1.0102 +2025-05-15 13:08:44,041 - pyskl - INFO - Epoch [147][1000/2506] lr: 3.554e-05, eta: 1:03:40, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0545, loss: 1.0545 +2025-05-15 13:09:26,229 - pyskl - INFO - Epoch [147][1100/2506] lr: 3.476e-05, eta: 1:02:57, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0577, loss: 1.0577 +2025-05-15 13:10:08,022 - pyskl - INFO - Epoch [147][1200/2506] lr: 3.398e-05, eta: 1:02:15, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1001, loss: 1.1001 +2025-05-15 13:10:49,835 - pyskl - INFO - Epoch [147][1300/2506] lr: 3.322e-05, eta: 1:01:33, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0648, loss: 1.0648 +2025-05-15 13:11:30,995 - pyskl - INFO - Epoch [147][1400/2506] lr: 3.246e-05, eta: 1:00:50, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0617, loss: 1.0617 +2025-05-15 13:12:11,975 - pyskl - INFO - Epoch [147][1500/2506] lr: 3.171e-05, eta: 1:00:08, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0733, loss: 1.0733 +2025-05-15 13:12:53,444 - pyskl - INFO - Epoch [147][1600/2506] lr: 3.097e-05, eta: 0:59:26, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1059, loss: 1.1059 +2025-05-15 13:13:35,332 - pyskl - INFO - Epoch [147][1700/2506] lr: 3.024e-05, eta: 0:58:43, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0636, loss: 1.0636 +2025-05-15 13:14:16,004 - pyskl - INFO - Epoch [147][1800/2506] lr: 2.952e-05, eta: 0:58:01, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0687, loss: 1.0687 +2025-05-15 13:14:56,905 - pyskl - INFO - Epoch [147][1900/2506] lr: 2.881e-05, eta: 0:57:19, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0565, loss: 1.0565 +2025-05-15 13:15:38,548 - pyskl - INFO - Epoch [147][2000/2506] lr: 2.810e-05, eta: 0:56:36, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0675, loss: 1.0675 +2025-05-15 13:16:19,669 - pyskl - INFO - Epoch [147][2100/2506] lr: 2.741e-05, eta: 0:55:54, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0701, loss: 1.0701 +2025-05-15 13:17:01,580 - pyskl - INFO - Epoch [147][2200/2506] lr: 2.672e-05, eta: 0:55:12, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0344, loss: 1.0344 +2025-05-15 13:17:42,423 - pyskl - INFO - Epoch [147][2300/2506] lr: 2.604e-05, eta: 0:54:29, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0775, loss: 1.0775 +2025-05-15 13:18:22,574 - pyskl - INFO - Epoch [147][2400/2506] lr: 2.537e-05, eta: 0:53:47, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0837, loss: 1.0837 +2025-05-15 13:19:03,650 - pyskl - INFO - Epoch [147][2500/2506] lr: 2.471e-05, eta: 0:53:04, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0832, loss: 1.0832 +2025-05-15 13:19:07,062 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-05-15 13:20:19,343 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 13:20:19,411 - pyskl - INFO - +top1_acc 0.9279 +top5_acc 0.9882 +2025-05-15 13:20:19,414 - pyskl - INFO - Epoch(val) [147][1031] top1_acc: 0.9279, top5_acc: 0.9882 +2025-05-15 13:21:26,949 - pyskl - INFO - Epoch [148][100/2506] lr: 2.402e-05, eta: 0:52:20, time: 0.675, data_time: 0.262, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0940, loss: 1.0940 +2025-05-15 13:22:07,214 - pyskl - INFO - Epoch [148][200/2506] lr: 2.338e-05, eta: 0:51:38, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0430, loss: 1.0430 +2025-05-15 13:22:47,822 - pyskl - INFO - Epoch [148][300/2506] lr: 2.274e-05, eta: 0:50:55, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0448, loss: 1.0448 +2025-05-15 13:23:28,732 - pyskl - INFO - Epoch [148][400/2506] lr: 2.212e-05, eta: 0:50:13, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0907, loss: 1.0907 +2025-05-15 13:24:09,532 - pyskl - INFO - Epoch [148][500/2506] lr: 2.150e-05, eta: 0:49:31, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0758, loss: 1.0758 +2025-05-15 13:24:51,178 - pyskl - INFO - Epoch [148][600/2506] lr: 2.089e-05, eta: 0:48:48, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0632, loss: 1.0632 +2025-05-15 13:25:31,550 - pyskl - INFO - Epoch [148][700/2506] lr: 2.029e-05, eta: 0:48:06, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0539, loss: 1.0539 +2025-05-15 13:26:11,324 - pyskl - INFO - Epoch [148][800/2506] lr: 1.970e-05, eta: 0:47:23, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0355, loss: 1.0355 +2025-05-15 13:26:51,952 - pyskl - INFO - Epoch [148][900/2506] lr: 1.912e-05, eta: 0:46:41, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0743, loss: 1.0743 +2025-05-15 13:27:33,218 - pyskl - INFO - Epoch [148][1000/2506] lr: 1.855e-05, eta: 0:45:59, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0708, loss: 1.0708 +2025-05-15 13:28:13,908 - pyskl - INFO - Epoch [148][1100/2506] lr: 1.798e-05, eta: 0:45:16, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0627, loss: 1.0627 +2025-05-15 13:28:54,487 - pyskl - INFO - Epoch [148][1200/2506] lr: 1.743e-05, eta: 0:44:34, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0805, loss: 1.0805 +2025-05-15 13:29:34,613 - pyskl - INFO - Epoch [148][1300/2506] lr: 1.688e-05, eta: 0:43:52, time: 0.401, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0358, loss: 1.0358 +2025-05-15 13:30:15,884 - pyskl - INFO - Epoch [148][1400/2506] lr: 1.634e-05, eta: 0:43:09, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0661, loss: 1.0661 +2025-05-15 13:30:57,296 - pyskl - INFO - Epoch [148][1500/2506] lr: 1.581e-05, eta: 0:42:27, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0653, loss: 1.0653 +2025-05-15 13:31:39,097 - pyskl - INFO - Epoch [148][1600/2506] lr: 1.529e-05, eta: 0:41:45, time: 0.418, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0555, loss: 1.0555 +2025-05-15 13:32:20,569 - pyskl - INFO - Epoch [148][1700/2506] lr: 1.478e-05, eta: 0:41:02, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0707, loss: 1.0707 +2025-05-15 13:33:01,817 - pyskl - INFO - Epoch [148][1800/2506] lr: 1.428e-05, eta: 0:40:20, time: 0.412, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0588, loss: 1.0588 +2025-05-15 13:33:43,074 - pyskl - INFO - Epoch [148][1900/2506] lr: 1.378e-05, eta: 0:39:38, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0595, loss: 1.0595 +2025-05-15 13:34:23,894 - pyskl - INFO - Epoch [148][2000/2506] lr: 1.329e-05, eta: 0:38:55, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0650, loss: 1.0650 +2025-05-15 13:35:04,472 - pyskl - INFO - Epoch [148][2100/2506] lr: 1.282e-05, eta: 0:38:13, time: 0.406, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0784, loss: 1.0784 +2025-05-15 13:35:46,119 - pyskl - INFO - Epoch [148][2200/2506] lr: 1.235e-05, eta: 0:37:31, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0346, loss: 1.0346 +2025-05-15 13:36:28,172 - pyskl - INFO - Epoch [148][2300/2506] lr: 1.189e-05, eta: 0:36:48, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0758, loss: 1.0758 +2025-05-15 13:37:10,063 - pyskl - INFO - Epoch [148][2400/2506] lr: 1.144e-05, eta: 0:36:06, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0700, loss: 1.0700 +2025-05-15 13:37:51,921 - pyskl - INFO - Epoch [148][2500/2506] lr: 1.100e-05, eta: 0:35:24, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0572, loss: 1.0572 +2025-05-15 13:37:55,164 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-05-15 13:39:07,356 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 13:39:07,454 - pyskl - INFO - +top1_acc 0.9275 +top5_acc 0.9878 +2025-05-15 13:39:07,458 - pyskl - INFO - Epoch(val) [148][1031] top1_acc: 0.9275, top5_acc: 0.9878 +2025-05-15 13:40:16,729 - pyskl - INFO - Epoch [149][100/2506] lr: 1.054e-05, eta: 0:34:39, time: 0.693, data_time: 0.272, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0666, loss: 1.0666 +2025-05-15 13:40:57,984 - pyskl - INFO - Epoch [149][200/2506] lr: 1.011e-05, eta: 0:33:57, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0374, loss: 1.0374 +2025-05-15 13:41:40,179 - pyskl - INFO - Epoch [149][300/2506] lr: 9.696e-06, eta: 0:33:14, time: 0.422, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0873, loss: 1.0873 +2025-05-15 13:42:22,151 - pyskl - INFO - Epoch [149][400/2506] lr: 9.289e-06, eta: 0:32:32, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0722, loss: 1.0722 +2025-05-15 13:43:02,928 - pyskl - INFO - Epoch [149][500/2506] lr: 8.890e-06, eta: 0:31:50, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0818, loss: 1.0818 +2025-05-15 13:43:44,609 - pyskl - INFO - Epoch [149][600/2506] lr: 8.501e-06, eta: 0:31:07, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0897, loss: 1.0897 +2025-05-15 13:44:25,935 - pyskl - INFO - Epoch [149][700/2506] lr: 8.120e-06, eta: 0:30:25, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0806, loss: 1.0806 +2025-05-15 13:45:07,633 - pyskl - INFO - Epoch [149][800/2506] lr: 7.748e-06, eta: 0:29:43, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0644, loss: 1.0644 +2025-05-15 13:45:49,609 - pyskl - INFO - Epoch [149][900/2506] lr: 7.384e-06, eta: 0:29:00, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0430, loss: 1.0430 +2025-05-15 13:46:31,973 - pyskl - INFO - Epoch [149][1000/2506] lr: 7.030e-06, eta: 0:28:18, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0812, loss: 1.0812 +2025-05-15 13:47:13,382 - pyskl - INFO - Epoch [149][1100/2506] lr: 6.684e-06, eta: 0:27:36, time: 0.414, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0615, loss: 1.0615 +2025-05-15 13:47:54,694 - pyskl - INFO - Epoch [149][1200/2506] lr: 6.346e-06, eta: 0:26:53, time: 0.413, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0348, loss: 1.0348 +2025-05-15 13:48:34,494 - pyskl - INFO - Epoch [149][1300/2506] lr: 6.018e-06, eta: 0:26:11, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0494, loss: 1.0494 +2025-05-15 13:49:15,212 - pyskl - INFO - Epoch [149][1400/2506] lr: 5.698e-06, eta: 0:25:29, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0672, loss: 1.0672 +2025-05-15 13:49:56,823 - pyskl - INFO - Epoch [149][1500/2506] lr: 5.387e-06, eta: 0:24:46, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0555, loss: 1.0555 +2025-05-15 13:50:37,003 - pyskl - INFO - Epoch [149][1600/2506] lr: 5.085e-06, eta: 0:24:04, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0809, loss: 1.0809 +2025-05-15 13:51:18,753 - pyskl - INFO - Epoch [149][1700/2506] lr: 4.791e-06, eta: 0:23:21, time: 0.417, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0736, loss: 1.0736 +2025-05-15 13:52:00,221 - pyskl - INFO - Epoch [149][1800/2506] lr: 4.506e-06, eta: 0:22:39, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0602, loss: 1.0602 +2025-05-15 13:52:40,953 - pyskl - INFO - Epoch [149][1900/2506] lr: 4.230e-06, eta: 0:21:57, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0853, loss: 1.0853 +2025-05-15 13:53:21,804 - pyskl - INFO - Epoch [149][2000/2506] lr: 3.963e-06, eta: 0:21:14, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0892, loss: 1.0892 +2025-05-15 13:54:02,628 - pyskl - INFO - Epoch [149][2100/2506] lr: 3.704e-06, eta: 0:20:32, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0706, loss: 1.0706 +2025-05-15 13:54:44,494 - pyskl - INFO - Epoch [149][2200/2506] lr: 3.454e-06, eta: 0:19:50, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0901, loss: 1.0901 +2025-05-15 13:55:26,520 - pyskl - INFO - Epoch [149][2300/2506] lr: 3.213e-06, eta: 0:19:07, time: 0.420, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0579, loss: 1.0579 +2025-05-15 13:56:07,401 - pyskl - INFO - Epoch [149][2400/2506] lr: 2.981e-06, eta: 0:18:25, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0403, loss: 1.0403 +2025-05-15 13:56:48,191 - pyskl - INFO - Epoch [149][2500/2506] lr: 2.757e-06, eta: 0:17:43, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0722, loss: 1.0722 +2025-05-15 13:56:51,243 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-05-15 13:58:03,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 13:58:03,510 - pyskl - INFO - +top1_acc 0.9278 +top5_acc 0.9882 +2025-05-15 13:58:03,512 - pyskl - INFO - Epoch(val) [149][1031] top1_acc: 0.9278, top5_acc: 0.9882 +2025-05-15 13:59:09,580 - pyskl - INFO - Epoch [150][100/2506] lr: 2.529e-06, eta: 0:16:58, time: 0.661, data_time: 0.261, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0699, loss: 1.0699 +2025-05-15 13:59:49,078 - pyskl - INFO - Epoch [150][200/2506] lr: 2.323e-06, eta: 0:16:16, time: 0.395, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0769, loss: 1.0769 +2025-05-15 14:00:29,269 - pyskl - INFO - Epoch [150][300/2506] lr: 2.126e-06, eta: 0:15:33, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0437, loss: 1.0437 +2025-05-15 14:01:09,521 - pyskl - INFO - Epoch [150][400/2506] lr: 1.938e-06, eta: 0:14:51, time: 0.403, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0906, loss: 1.0906 +2025-05-15 14:01:49,369 - pyskl - INFO - Epoch [150][500/2506] lr: 1.758e-06, eta: 0:14:09, time: 0.398, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0897, loss: 1.0897 +2025-05-15 14:02:30,903 - pyskl - INFO - Epoch [150][600/2506] lr: 1.588e-06, eta: 0:13:26, time: 0.415, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0908, loss: 1.0908 +2025-05-15 14:03:11,563 - pyskl - INFO - Epoch [150][700/2506] lr: 1.425e-06, eta: 0:12:44, time: 0.407, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0875, loss: 1.0875 +2025-05-15 14:03:52,469 - pyskl - INFO - Epoch [150][800/2506] lr: 1.272e-06, eta: 0:12:02, time: 0.409, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0523, loss: 1.0523 +2025-05-15 14:04:33,266 - pyskl - INFO - Epoch [150][900/2506] lr: 1.127e-06, eta: 0:11:19, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0556, loss: 1.0556 +2025-05-15 14:05:15,393 - pyskl - INFO - Epoch [150][1000/2506] lr: 9.914e-07, eta: 0:10:37, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0491, loss: 1.0491 +2025-05-15 14:05:57,778 - pyskl - INFO - Epoch [150][1100/2506] lr: 8.642e-07, eta: 0:09:55, time: 0.424, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0303, loss: 1.0303 +2025-05-15 14:06:39,879 - pyskl - INFO - Epoch [150][1200/2506] lr: 7.457e-07, eta: 0:09:12, time: 0.421, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1031, loss: 1.1031 +2025-05-15 14:07:20,936 - pyskl - INFO - Epoch [150][1300/2506] lr: 6.360e-07, eta: 0:08:30, time: 0.411, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0690, loss: 1.0690 +2025-05-15 14:08:01,115 - pyskl - INFO - Epoch [150][1400/2506] lr: 5.350e-07, eta: 0:07:48, time: 0.402, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0933, loss: 1.0933 +2025-05-15 14:08:40,532 - pyskl - INFO - Epoch [150][1500/2506] lr: 4.427e-07, eta: 0:07:05, time: 0.394, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0686, loss: 1.0686 +2025-05-15 14:09:21,361 - pyskl - INFO - Epoch [150][1600/2506] lr: 3.591e-07, eta: 0:06:23, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0846, loss: 1.0846 +2025-05-15 14:10:02,405 - pyskl - INFO - Epoch [150][1700/2506] lr: 2.843e-07, eta: 0:05:41, time: 0.410, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0802, loss: 1.0802 +2025-05-15 14:10:43,173 - pyskl - INFO - Epoch [150][1800/2506] lr: 2.182e-07, eta: 0:04:58, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0893, loss: 1.0893 +2025-05-15 14:11:23,159 - pyskl - INFO - Epoch [150][1900/2506] lr: 1.608e-07, eta: 0:04:16, time: 0.400, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0566, loss: 1.0566 +2025-05-15 14:12:03,969 - pyskl - INFO - Epoch [150][2000/2506] lr: 1.122e-07, eta: 0:03:34, time: 0.408, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0467, loss: 1.0467 +2025-05-15 14:12:45,616 - pyskl - INFO - Epoch [150][2100/2506] lr: 7.231e-08, eta: 0:02:51, time: 0.416, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0510, loss: 1.0510 +2025-05-15 14:13:26,014 - pyskl - INFO - Epoch [150][2200/2506] lr: 4.114e-08, eta: 0:02:09, time: 0.404, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0728, loss: 1.0728 +2025-05-15 14:14:05,952 - pyskl - INFO - Epoch [150][2300/2506] lr: 1.871e-08, eta: 0:01:27, time: 0.399, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0818, loss: 1.0818 +2025-05-15 14:14:45,667 - pyskl - INFO - Epoch [150][2400/2506] lr: 4.998e-09, eta: 0:00:44, time: 0.397, data_time: 0.000, memory: 10841, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0185, loss: 1.0185 +2025-05-15 14:15:27,552 - pyskl - INFO - Epoch [150][2500/2506] lr: 2.139e-11, eta: 0:00:02, time: 0.419, data_time: 0.000, memory: 10841, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0905, loss: 1.0905 +2025-05-15 14:15:30,712 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-05-15 14:16:44,291 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-15 14:16:44,389 - pyskl - INFO - +top1_acc 0.9281 +top5_acc 0.9880 +2025-05-15 14:16:44,394 - pyskl - INFO - Epoch(val) [150][1031] top1_acc: 0.9281, top5_acc: 0.9880 +2025-05-15 14:16:52,813 - pyskl - INFO - 16487 videos remain after valid thresholding +2025-05-15 14:26:07,199 - pyskl - INFO - Testing results of the last checkpoint +2025-05-15 14:26:07,200 - pyskl - INFO - top1_acc: 0.9295 +2025-05-15 14:26:07,200 - pyskl - INFO - top5_acc: 0.9887 +2025-05-15 14:26:07,201 - pyskl - INFO - load checkpoint from local path: ./work_dirs/ntu60_xsub/k/best_top1_acc_epoch_146.pth +2025-05-15 14:35:09,239 - pyskl - INFO - Testing results of the best checkpoint +2025-05-15 14:35:09,239 - pyskl - INFO - top1_acc: 0.9301 +2025-05-15 14:35:09,239 - pyskl - INFO - top5_acc: 0.9891