diff --git "a/ntu60_xview/k_2/20250602_201646.log" "b/ntu60_xview/k_2/20250602_201646.log" new file mode 100644--- /dev/null +++ "b/ntu60_xview/k_2/20250602_201646.log" @@ -0,0 +1,4709 @@ +2025-06-02 20:16:46,454 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - 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 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, 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 -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-variable -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=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-06-02 20:16:46,764 - pyskl - INFO - Config: modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/ntu60_xview/k_2' +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_xview/k_2', + interval_epoch=5, + weight_1=0.2, + weight_2=0.2)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/nturgbd/ntu60_3danno.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + 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='/data/lhd/pyskl_data/nturgbd/ntu60_3danno.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + 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='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/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='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/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='xview_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) + +2025-06-02 20:16:46,765 - pyskl - INFO - Set random seed to 203124161, deterministic: False +2025-06-02 20:16:56,237 - pyskl - INFO - 37646 videos remain after valid thresholding +2025-06-02 20:17:01,780 - pyskl - INFO - 18932 videos remain after valid thresholding +2025-06-02 20:17:01,802 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2 +2025-06-02 20:17:01,802 - 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 + -------------------- +2025-06-02 20:17:01,802 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-06-02 20:17:01,802 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2 by HardDiskBackend. +2025-06-02 20:18:06,653 - pyskl - INFO - Epoch [1][100/2353] lr: 2.500e-02, eta: 2 days, 15:33:33, time: 0.648, data_time: 0.211, memory: 13125, top1_acc: 0.0256, top5_acc: 0.1300, loss_cls: 10.1363, loss: 10.1363 +2025-06-02 20:18:49,686 - pyskl - INFO - Epoch [1][200/2353] lr: 2.500e-02, eta: 2 days, 4:51:12, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.0381, top5_acc: 0.1719, loss_cls: 8.9859, loss: 8.9859 +2025-06-02 20:19:32,920 - pyskl - INFO - Epoch [1][300/2353] lr: 2.500e-02, eta: 2 days, 1:20:33, time: 0.432, data_time: 0.000, memory: 13125, top1_acc: 0.0506, top5_acc: 0.2288, loss_cls: 8.7774, loss: 8.7774 +2025-06-02 20:20:16,193 - pyskl - INFO - Epoch [1][400/2353] lr: 2.500e-02, eta: 1 day, 23:35:26, time: 0.433, data_time: 0.000, memory: 13125, top1_acc: 0.0600, top5_acc: 0.2562, loss_cls: 8.6007, loss: 8.6007 +2025-06-02 20:20:59,329 - pyskl - INFO - Epoch [1][500/2353] lr: 2.500e-02, eta: 1 day, 22:30:28, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.0762, top5_acc: 0.3019, loss_cls: 8.3481, loss: 8.3481 +2025-06-02 20:21:42,346 - pyskl - INFO - Epoch [1][600/2353] lr: 2.500e-02, eta: 1 day, 21:45:45, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.0825, top5_acc: 0.3244, loss_cls: 8.2901, loss: 8.2901 +2025-06-02 20:22:25,352 - pyskl - INFO - Epoch [1][700/2353] lr: 2.500e-02, eta: 1 day, 21:13:31, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.0925, top5_acc: 0.3681, loss_cls: 8.1121, loss: 8.1121 +2025-06-02 20:23:08,372 - pyskl - INFO - Epoch [1][800/2353] lr: 2.500e-02, eta: 1 day, 20:49:16, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.0988, top5_acc: 0.3825, loss_cls: 8.0493, loss: 8.0493 +2025-06-02 20:23:51,403 - pyskl - INFO - Epoch [1][900/2353] lr: 2.500e-02, eta: 1 day, 20:30:19, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.1119, top5_acc: 0.3906, loss_cls: 7.9898, loss: 7.9898 +2025-06-02 20:24:34,508 - pyskl - INFO - Epoch [1][1000/2353] lr: 2.500e-02, eta: 1 day, 20:15:27, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1100, top5_acc: 0.4088, loss_cls: 7.9137, loss: 7.9137 +2025-06-02 20:25:17,561 - pyskl - INFO - Epoch [1][1100/2353] lr: 2.500e-02, eta: 1 day, 20:02:52, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1175, top5_acc: 0.4494, loss_cls: 7.8009, loss: 7.8009 +2025-06-02 20:26:00,535 - pyskl - INFO - Epoch [1][1200/2353] lr: 2.500e-02, eta: 1 day, 19:51:53, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.1225, top5_acc: 0.4462, loss_cls: 7.7582, loss: 7.7582 +2025-06-02 20:26:43,447 - pyskl - INFO - Epoch [1][1300/2353] lr: 2.500e-02, eta: 1 day, 19:42:12, time: 0.429, data_time: 0.000, memory: 13125, top1_acc: 0.1350, top5_acc: 0.4794, loss_cls: 7.6852, loss: 7.6852 +2025-06-02 20:27:26,403 - pyskl - INFO - Epoch [1][1400/2353] lr: 2.500e-02, eta: 1 day, 19:33:59, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.1469, top5_acc: 0.5075, loss_cls: 7.5886, loss: 7.5886 +2025-06-02 20:28:09,448 - pyskl - INFO - Epoch [1][1500/2353] lr: 2.500e-02, eta: 1 day, 19:27:06, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.1606, top5_acc: 0.5056, loss_cls: 7.5295, loss: 7.5295 +2025-06-02 20:28:52,488 - pyskl - INFO - Epoch [1][1600/2353] lr: 2.500e-02, eta: 1 day, 19:20:59, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.1600, top5_acc: 0.5350, loss_cls: 7.3978, loss: 7.3978 +2025-06-02 20:29:35,551 - pyskl - INFO - Epoch [1][1700/2353] lr: 2.500e-02, eta: 1 day, 19:15:35, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1638, top5_acc: 0.5406, loss_cls: 7.4017, loss: 7.4017 +2025-06-02 20:30:18,685 - pyskl - INFO - Epoch [1][1800/2353] lr: 2.500e-02, eta: 1 day, 19:10:56, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1600, top5_acc: 0.5787, loss_cls: 7.3459, loss: 7.3459 +2025-06-02 20:31:01,738 - pyskl - INFO - Epoch [1][1900/2353] lr: 2.500e-02, eta: 1 day, 19:06:26, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1888, top5_acc: 0.5856, loss_cls: 7.2819, loss: 7.2819 +2025-06-02 20:31:44,789 - pyskl - INFO - Epoch [1][2000/2353] lr: 2.500e-02, eta: 1 day, 19:02:19, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1950, top5_acc: 0.5981, loss_cls: 7.2245, loss: 7.2245 +2025-06-02 20:32:27,838 - pyskl - INFO - Epoch [1][2100/2353] lr: 2.500e-02, eta: 1 day, 18:58:31, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.1875, top5_acc: 0.5969, loss_cls: 7.2277, loss: 7.2277 +2025-06-02 20:33:10,845 - pyskl - INFO - Epoch [1][2200/2353] lr: 2.500e-02, eta: 1 day, 18:54:53, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.2000, top5_acc: 0.5881, loss_cls: 7.2673, loss: 7.2673 +2025-06-02 20:33:53,880 - pyskl - INFO - Epoch [1][2300/2353] lr: 2.500e-02, eta: 1 day, 18:51:35, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.2100, top5_acc: 0.6044, loss_cls: 7.1926, loss: 7.1926 +2025-06-02 20:34:17,232 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-06-02 20:35:42,270 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:35:42,344 - pyskl - INFO - +top1_acc 0.2526 +top5_acc 0.6921 +2025-06-02 20:35:43,342 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-06-02 20:35:43,342 - pyskl - INFO - Best top1_acc is 0.2526 at 1 epoch. +2025-06-02 20:35:43,345 - pyskl - INFO - Epoch(val) [1][1184] top1_acc: 0.2526, top5_acc: 0.6921 +2025-06-02 20:36:46,846 - pyskl - INFO - Epoch [2][100/2353] lr: 2.500e-02, eta: 1 day, 18:41:21, time: 0.635, data_time: 0.206, memory: 13126, top1_acc: 0.2131, top5_acc: 0.6356, loss_cls: 7.0407, loss: 7.0407 +2025-06-02 20:37:30,052 - pyskl - INFO - Epoch [2][200/2353] lr: 2.500e-02, eta: 1 day, 18:39:09, time: 0.432, data_time: 0.000, memory: 13126, top1_acc: 0.2094, top5_acc: 0.6456, loss_cls: 7.1069, loss: 7.1069 +2025-06-02 20:38:13,579 - pyskl - INFO - Epoch [2][300/2353] lr: 2.500e-02, eta: 1 day, 18:37:46, time: 0.435, data_time: 0.000, memory: 13126, top1_acc: 0.2450, top5_acc: 0.6562, loss_cls: 7.0105, loss: 7.0105 +2025-06-02 20:38:56,922 - pyskl - INFO - Epoch [2][400/2353] lr: 2.500e-02, eta: 1 day, 18:36:03, time: 0.433, data_time: 0.000, memory: 13126, top1_acc: 0.2587, top5_acc: 0.6819, loss_cls: 6.8521, loss: 6.8521 +2025-06-02 20:39:40,046 - pyskl - INFO - Epoch [2][500/2353] lr: 2.500e-02, eta: 1 day, 18:33:57, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2587, top5_acc: 0.6981, loss_cls: 6.8791, loss: 6.8791 +2025-06-02 20:40:23,184 - pyskl - INFO - Epoch [2][600/2353] lr: 2.500e-02, eta: 1 day, 18:31:58, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2556, top5_acc: 0.6981, loss_cls: 6.8185, loss: 6.8185 +2025-06-02 20:41:06,289 - pyskl - INFO - Epoch [2][700/2353] lr: 2.500e-02, eta: 1 day, 18:30:01, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2681, top5_acc: 0.7013, loss_cls: 6.7681, loss: 6.7681 +2025-06-02 20:41:49,379 - pyskl - INFO - Epoch [2][800/2353] lr: 2.500e-02, eta: 1 day, 18:28:06, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2800, top5_acc: 0.7231, loss_cls: 6.6844, loss: 6.6844 +2025-06-02 20:42:32,501 - pyskl - INFO - Epoch [2][900/2353] lr: 2.499e-02, eta: 1 day, 18:26:19, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2825, top5_acc: 0.7256, loss_cls: 6.6406, loss: 6.6406 +2025-06-02 20:43:15,591 - pyskl - INFO - Epoch [2][1000/2353] lr: 2.499e-02, eta: 1 day, 18:24:33, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3200, top5_acc: 0.7375, loss_cls: 6.5328, loss: 6.5328 +2025-06-02 20:43:58,672 - pyskl - INFO - Epoch [2][1100/2353] lr: 2.499e-02, eta: 1 day, 18:22:50, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3225, top5_acc: 0.7388, loss_cls: 6.4698, loss: 6.4698 +2025-06-02 20:44:41,766 - pyskl - INFO - Epoch [2][1200/2353] lr: 2.499e-02, eta: 1 day, 18:21:11, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3137, top5_acc: 0.7538, loss_cls: 6.4699, loss: 6.4699 +2025-06-02 20:45:24,855 - pyskl - INFO - Epoch [2][1300/2353] lr: 2.499e-02, eta: 1 day, 18:19:35, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3375, top5_acc: 0.7575, loss_cls: 6.3912, loss: 6.3912 +2025-06-02 20:46:07,950 - pyskl - INFO - Epoch [2][1400/2353] lr: 2.499e-02, eta: 1 day, 18:18:02, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3594, top5_acc: 0.7987, loss_cls: 6.2358, loss: 6.2358 +2025-06-02 20:46:50,973 - pyskl - INFO - Epoch [2][1500/2353] lr: 2.499e-02, eta: 1 day, 18:16:25, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.3706, top5_acc: 0.7863, loss_cls: 6.2082, loss: 6.2082 +2025-06-02 20:47:33,918 - pyskl - INFO - Epoch [2][1600/2353] lr: 2.499e-02, eta: 1 day, 18:14:44, time: 0.429, data_time: 0.000, memory: 13126, top1_acc: 0.3869, top5_acc: 0.7981, loss_cls: 6.1670, loss: 6.1670 +2025-06-02 20:48:16,859 - pyskl - INFO - Epoch [2][1700/2353] lr: 2.499e-02, eta: 1 day, 18:13:06, time: 0.429, data_time: 0.000, memory: 13126, top1_acc: 0.3744, top5_acc: 0.7900, loss_cls: 6.1168, loss: 6.1168 +2025-06-02 20:48:59,847 - pyskl - INFO - Epoch [2][1800/2353] lr: 2.499e-02, eta: 1 day, 18:11:34, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.4081, top5_acc: 0.8225, loss_cls: 6.0795, loss: 6.0795 +2025-06-02 20:49:42,919 - pyskl - INFO - Epoch [2][1900/2353] lr: 2.499e-02, eta: 1 day, 18:10:11, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.4025, top5_acc: 0.8250, loss_cls: 5.9267, loss: 5.9267 +2025-06-02 20:50:25,905 - pyskl - INFO - Epoch [2][2000/2353] lr: 2.499e-02, eta: 1 day, 18:08:44, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.4169, top5_acc: 0.8269, loss_cls: 5.8346, loss: 5.8346 +2025-06-02 20:51:08,978 - pyskl - INFO - Epoch [2][2100/2353] lr: 2.499e-02, eta: 1 day, 18:07:25, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.4313, top5_acc: 0.8281, loss_cls: 5.9036, loss: 5.9036 +2025-06-02 20:51:52,177 - pyskl - INFO - Epoch [2][2200/2353] lr: 2.499e-02, eta: 1 day, 18:06:17, time: 0.432, data_time: 0.000, memory: 13126, top1_acc: 0.4313, top5_acc: 0.8181, loss_cls: 5.8566, loss: 5.8566 +2025-06-02 20:52:35,315 - pyskl - INFO - Epoch [2][2300/2353] lr: 2.499e-02, eta: 1 day, 18:05:06, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.4444, top5_acc: 0.8269, loss_cls: 5.8165, loss: 5.8165 +2025-06-02 20:52:58,745 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-06-02 20:54:24,052 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:54:24,128 - pyskl - INFO - +top1_acc 0.5272 +top5_acc 0.8883 +2025-06-02 20:54:24,184 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_1.pth was removed +2025-06-02 20:54:25,238 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-06-02 20:54:25,239 - pyskl - INFO - Best top1_acc is 0.5272 at 2 epoch. +2025-06-02 20:54:25,242 - pyskl - INFO - Epoch(val) [2][1184] top1_acc: 0.5272, top5_acc: 0.8883 +2025-06-02 20:55:29,181 - pyskl - INFO - Epoch [3][100/2353] lr: 2.499e-02, eta: 1 day, 18:00:50, time: 0.639, data_time: 0.208, memory: 13127, top1_acc: 0.4419, top5_acc: 0.8319, loss_cls: 5.7996, loss: 5.7996 +2025-06-02 20:56:12,374 - pyskl - INFO - Epoch [3][200/2353] lr: 2.499e-02, eta: 1 day, 17:59:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.4612, top5_acc: 0.8431, loss_cls: 5.6488, loss: 5.6488 +2025-06-02 20:56:55,502 - pyskl - INFO - Epoch [3][300/2353] lr: 2.499e-02, eta: 1 day, 17:58:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.4681, top5_acc: 0.8556, loss_cls: 5.6738, loss: 5.6738 +2025-06-02 20:57:38,657 - pyskl - INFO - Epoch [3][400/2353] lr: 2.499e-02, eta: 1 day, 17:57:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.4906, top5_acc: 0.8625, loss_cls: 5.4526, loss: 5.4526 +2025-06-02 20:58:21,848 - pyskl - INFO - Epoch [3][500/2353] lr: 2.499e-02, eta: 1 day, 17:56:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.4888, top5_acc: 0.8694, loss_cls: 5.5528, loss: 5.5528 +2025-06-02 20:59:04,949 - pyskl - INFO - Epoch [3][600/2353] lr: 2.499e-02, eta: 1 day, 17:55:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.4781, top5_acc: 0.8569, loss_cls: 5.5497, loss: 5.5497 +2025-06-02 20:59:48,066 - pyskl - INFO - Epoch [3][700/2353] lr: 2.499e-02, eta: 1 day, 17:54:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5069, top5_acc: 0.8788, loss_cls: 5.4263, loss: 5.4263 +2025-06-02 21:00:31,112 - pyskl - INFO - Epoch [3][800/2353] lr: 2.498e-02, eta: 1 day, 17:53:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.5062, top5_acc: 0.8631, loss_cls: 5.5171, loss: 5.5171 +2025-06-02 21:01:14,218 - pyskl - INFO - Epoch [3][900/2353] lr: 2.498e-02, eta: 1 day, 17:52:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5200, top5_acc: 0.8688, loss_cls: 5.4096, loss: 5.4096 +2025-06-02 21:01:57,374 - pyskl - INFO - Epoch [3][1000/2353] lr: 2.498e-02, eta: 1 day, 17:51:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5144, top5_acc: 0.8688, loss_cls: 5.4417, loss: 5.4417 +2025-06-02 21:02:40,505 - pyskl - INFO - Epoch [3][1100/2353] lr: 2.498e-02, eta: 1 day, 17:50:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5481, top5_acc: 0.8688, loss_cls: 5.2195, loss: 5.2195 +2025-06-02 21:03:23,643 - pyskl - INFO - Epoch [3][1200/2353] lr: 2.498e-02, eta: 1 day, 17:49:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5256, top5_acc: 0.8700, loss_cls: 5.4128, loss: 5.4128 +2025-06-02 21:04:06,770 - pyskl - INFO - Epoch [3][1300/2353] lr: 2.498e-02, eta: 1 day, 17:48:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5269, top5_acc: 0.8781, loss_cls: 5.3120, loss: 5.3120 +2025-06-02 21:04:49,913 - pyskl - INFO - Epoch [3][1400/2353] lr: 2.498e-02, eta: 1 day, 17:47:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5581, top5_acc: 0.8919, loss_cls: 5.1818, loss: 5.1818 +2025-06-02 21:05:33,068 - pyskl - INFO - Epoch [3][1500/2353] lr: 2.498e-02, eta: 1 day, 17:46:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5537, top5_acc: 0.8794, loss_cls: 5.2396, loss: 5.2396 +2025-06-02 21:06:16,128 - pyskl - INFO - Epoch [3][1600/2353] lr: 2.498e-02, eta: 1 day, 17:45:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5563, top5_acc: 0.8869, loss_cls: 5.2062, loss: 5.2062 +2025-06-02 21:06:59,273 - pyskl - INFO - Epoch [3][1700/2353] lr: 2.498e-02, eta: 1 day, 17:44:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5469, top5_acc: 0.8862, loss_cls: 5.1493, loss: 5.1493 +2025-06-02 21:07:42,378 - pyskl - INFO - Epoch [3][1800/2353] lr: 2.498e-02, eta: 1 day, 17:43:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5894, top5_acc: 0.8931, loss_cls: 5.1641, loss: 5.1641 +2025-06-02 21:08:25,436 - pyskl - INFO - Epoch [3][1900/2353] lr: 2.498e-02, eta: 1 day, 17:42:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5950, top5_acc: 0.9056, loss_cls: 4.9620, loss: 4.9620 +2025-06-02 21:09:08,517 - pyskl - INFO - Epoch [3][2000/2353] lr: 2.498e-02, eta: 1 day, 17:41:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5756, top5_acc: 0.8988, loss_cls: 5.0715, loss: 5.0715 +2025-06-02 21:09:51,570 - pyskl - INFO - Epoch [3][2100/2353] lr: 2.498e-02, eta: 1 day, 17:40:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5800, top5_acc: 0.8962, loss_cls: 4.9701, loss: 4.9701 +2025-06-02 21:10:34,615 - pyskl - INFO - Epoch [3][2200/2353] lr: 2.498e-02, eta: 1 day, 17:39:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6069, top5_acc: 0.8994, loss_cls: 4.8748, loss: 4.8748 +2025-06-02 21:11:17,822 - pyskl - INFO - Epoch [3][2300/2353] lr: 2.498e-02, eta: 1 day, 17:39:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5894, top5_acc: 0.9081, loss_cls: 4.8919, loss: 4.8919 +2025-06-02 21:11:41,316 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-06-02 21:13:06,993 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:13:07,070 - pyskl - INFO - +top1_acc 0.6824 +top5_acc 0.9511 +2025-06-02 21:13:07,125 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_2.pth was removed +2025-06-02 21:13:08,147 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-06-02 21:13:08,148 - pyskl - INFO - Best top1_acc is 0.6824 at 3 epoch. +2025-06-02 21:13:08,151 - pyskl - INFO - Epoch(val) [3][1184] top1_acc: 0.6824, top5_acc: 0.9511 +2025-06-02 21:14:11,825 - pyskl - INFO - Epoch [4][100/2353] lr: 2.497e-02, eta: 1 day, 17:35:47, time: 0.637, data_time: 0.204, memory: 13127, top1_acc: 0.6006, top5_acc: 0.9087, loss_cls: 4.7276, loss: 4.7276 +2025-06-02 21:14:55,289 - pyskl - INFO - Epoch [4][200/2353] lr: 2.497e-02, eta: 1 day, 17:35:11, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.6125, top5_acc: 0.9038, loss_cls: 4.8484, loss: 4.8484 +2025-06-02 21:15:38,581 - pyskl - INFO - Epoch [4][300/2353] lr: 2.497e-02, eta: 1 day, 17:34:27, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.5988, top5_acc: 0.9181, loss_cls: 4.8404, loss: 4.8404 +2025-06-02 21:16:21,801 - pyskl - INFO - Epoch [4][400/2353] lr: 2.497e-02, eta: 1 day, 17:33:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5988, top5_acc: 0.8938, loss_cls: 5.0264, loss: 5.0264 +2025-06-02 21:17:04,937 - pyskl - INFO - Epoch [4][500/2353] lr: 2.497e-02, eta: 1 day, 17:32:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6038, top5_acc: 0.8994, loss_cls: 4.8571, loss: 4.8571 +2025-06-02 21:17:48,035 - pyskl - INFO - Epoch [4][600/2353] lr: 2.497e-02, eta: 1 day, 17:31:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5981, top5_acc: 0.9050, loss_cls: 4.8349, loss: 4.8349 +2025-06-02 21:18:31,150 - pyskl - INFO - Epoch [4][700/2353] lr: 2.497e-02, eta: 1 day, 17:31:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6231, top5_acc: 0.9113, loss_cls: 4.7497, loss: 4.7497 +2025-06-02 21:19:14,215 - pyskl - INFO - Epoch [4][800/2353] lr: 2.497e-02, eta: 1 day, 17:30:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6262, top5_acc: 0.9081, loss_cls: 4.8460, loss: 4.8460 +2025-06-02 21:19:57,334 - pyskl - INFO - Epoch [4][900/2353] lr: 2.497e-02, eta: 1 day, 17:29:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6200, top5_acc: 0.8988, loss_cls: 4.7718, loss: 4.7718 +2025-06-02 21:20:40,442 - pyskl - INFO - Epoch [4][1000/2353] lr: 2.497e-02, eta: 1 day, 17:28:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5950, top5_acc: 0.9119, loss_cls: 4.8551, loss: 4.8551 +2025-06-02 21:21:23,590 - pyskl - INFO - Epoch [4][1100/2353] lr: 2.497e-02, eta: 1 day, 17:27:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6006, top5_acc: 0.9031, loss_cls: 4.8127, loss: 4.8127 +2025-06-02 21:22:06,703 - pyskl - INFO - Epoch [4][1200/2353] lr: 2.497e-02, eta: 1 day, 17:26:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6450, top5_acc: 0.9206, loss_cls: 4.6835, loss: 4.6835 +2025-06-02 21:22:49,802 - pyskl - INFO - Epoch [4][1300/2353] lr: 2.497e-02, eta: 1 day, 17:25:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6250, top5_acc: 0.9200, loss_cls: 4.7199, loss: 4.7199 +2025-06-02 21:23:32,852 - pyskl - INFO - Epoch [4][1400/2353] lr: 2.496e-02, eta: 1 day, 17:25:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6719, top5_acc: 0.9256, loss_cls: 4.5711, loss: 4.5711 +2025-06-02 21:24:16,010 - pyskl - INFO - Epoch [4][1500/2353] lr: 2.496e-02, eta: 1 day, 17:24:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6194, top5_acc: 0.9181, loss_cls: 4.6764, loss: 4.6764 +2025-06-02 21:24:59,105 - pyskl - INFO - Epoch [4][1600/2353] lr: 2.496e-02, eta: 1 day, 17:23:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6244, top5_acc: 0.9231, loss_cls: 4.6081, loss: 4.6081 +2025-06-02 21:25:42,138 - pyskl - INFO - Epoch [4][1700/2353] lr: 2.496e-02, eta: 1 day, 17:22:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6369, top5_acc: 0.9106, loss_cls: 4.5868, loss: 4.5868 +2025-06-02 21:26:25,168 - pyskl - INFO - Epoch [4][1800/2353] lr: 2.496e-02, eta: 1 day, 17:21:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6475, top5_acc: 0.9187, loss_cls: 4.5135, loss: 4.5135 +2025-06-02 21:27:08,245 - pyskl - INFO - Epoch [4][1900/2353] lr: 2.496e-02, eta: 1 day, 17:20:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6238, top5_acc: 0.9225, loss_cls: 4.7453, loss: 4.7453 +2025-06-02 21:27:51,301 - pyskl - INFO - Epoch [4][2000/2353] lr: 2.496e-02, eta: 1 day, 17:19:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6256, top5_acc: 0.9119, loss_cls: 4.6660, loss: 4.6660 +2025-06-02 21:28:34,381 - pyskl - INFO - Epoch [4][2100/2353] lr: 2.496e-02, eta: 1 day, 17:19:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6306, top5_acc: 0.9275, loss_cls: 4.7139, loss: 4.7139 +2025-06-02 21:29:17,419 - pyskl - INFO - Epoch [4][2200/2353] lr: 2.496e-02, eta: 1 day, 17:18:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6644, top5_acc: 0.9156, loss_cls: 4.5069, loss: 4.5069 +2025-06-02 21:30:00,546 - pyskl - INFO - Epoch [4][2300/2353] lr: 2.496e-02, eta: 1 day, 17:17:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6556, top5_acc: 0.9275, loss_cls: 4.4842, loss: 4.4842 +2025-06-02 21:30:23,941 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-06-02 21:31:49,612 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:31:49,686 - pyskl - INFO - +top1_acc 0.7294 +top5_acc 0.9587 +2025-06-02 21:31:49,741 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_3.pth was removed +2025-06-02 21:31:50,753 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-06-02 21:31:50,754 - pyskl - INFO - Best top1_acc is 0.7294 at 4 epoch. +2025-06-02 21:31:50,757 - pyskl - INFO - Epoch(val) [4][1184] top1_acc: 0.7294, top5_acc: 0.9587 +2025-06-02 21:32:54,410 - pyskl - INFO - Epoch [5][100/2353] lr: 2.496e-02, eta: 1 day, 17:14:49, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.6625, top5_acc: 0.9300, loss_cls: 4.4953, loss: 4.4953 +2025-06-02 21:33:37,420 - pyskl - INFO - Epoch [5][200/2353] lr: 2.495e-02, eta: 1 day, 17:13:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6338, top5_acc: 0.9219, loss_cls: 4.5803, loss: 4.5803 +2025-06-02 21:34:20,602 - pyskl - INFO - Epoch [5][300/2353] lr: 2.495e-02, eta: 1 day, 17:13:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6550, top5_acc: 0.9213, loss_cls: 4.5818, loss: 4.5818 +2025-06-02 21:35:03,914 - pyskl - INFO - Epoch [5][400/2353] lr: 2.495e-02, eta: 1 day, 17:12:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6238, top5_acc: 0.9156, loss_cls: 4.7019, loss: 4.7019 +2025-06-02 21:35:47,170 - pyskl - INFO - Epoch [5][500/2353] lr: 2.495e-02, eta: 1 day, 17:11:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6825, top5_acc: 0.9394, loss_cls: 4.4733, loss: 4.4733 +2025-06-02 21:36:30,380 - pyskl - INFO - Epoch [5][600/2353] lr: 2.495e-02, eta: 1 day, 17:11:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6506, top5_acc: 0.9131, loss_cls: 4.5054, loss: 4.5054 +2025-06-02 21:37:13,650 - pyskl - INFO - Epoch [5][700/2353] lr: 2.495e-02, eta: 1 day, 17:10:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6538, top5_acc: 0.9175, loss_cls: 4.5383, loss: 4.5383 +2025-06-02 21:37:56,886 - pyskl - INFO - Epoch [5][800/2353] lr: 2.495e-02, eta: 1 day, 17:09:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6369, top5_acc: 0.9206, loss_cls: 4.5576, loss: 4.5576 +2025-06-02 21:38:39,998 - pyskl - INFO - Epoch [5][900/2353] lr: 2.495e-02, eta: 1 day, 17:08:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6488, top5_acc: 0.9194, loss_cls: 4.5237, loss: 4.5237 +2025-06-02 21:39:23,073 - pyskl - INFO - Epoch [5][1000/2353] lr: 2.495e-02, eta: 1 day, 17:08:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6538, top5_acc: 0.9313, loss_cls: 4.4063, loss: 4.4063 +2025-06-02 21:40:06,099 - pyskl - INFO - Epoch [5][1100/2353] lr: 2.495e-02, eta: 1 day, 17:07:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6594, top5_acc: 0.9244, loss_cls: 4.4589, loss: 4.4589 +2025-06-02 21:40:49,266 - pyskl - INFO - Epoch [5][1200/2353] lr: 2.494e-02, eta: 1 day, 17:06:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6800, top5_acc: 0.9344, loss_cls: 4.3706, loss: 4.3706 +2025-06-02 21:41:32,508 - pyskl - INFO - Epoch [5][1300/2353] lr: 2.494e-02, eta: 1 day, 17:05:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6775, top5_acc: 0.9213, loss_cls: 4.3915, loss: 4.3915 +2025-06-02 21:42:15,651 - pyskl - INFO - Epoch [5][1400/2353] lr: 2.494e-02, eta: 1 day, 17:05:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6781, top5_acc: 0.9300, loss_cls: 4.3909, loss: 4.3909 +2025-06-02 21:42:58,901 - pyskl - INFO - Epoch [5][1500/2353] lr: 2.494e-02, eta: 1 day, 17:04:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6781, top5_acc: 0.9356, loss_cls: 4.2277, loss: 4.2277 +2025-06-02 21:43:42,025 - pyskl - INFO - Epoch [5][1600/2353] lr: 2.494e-02, eta: 1 day, 17:03:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6719, top5_acc: 0.9263, loss_cls: 4.3843, loss: 4.3843 +2025-06-02 21:44:25,040 - pyskl - INFO - Epoch [5][1700/2353] lr: 2.494e-02, eta: 1 day, 17:02:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6994, top5_acc: 0.9381, loss_cls: 4.3282, loss: 4.3282 +2025-06-02 21:45:08,096 - pyskl - INFO - Epoch [5][1800/2353] lr: 2.494e-02, eta: 1 day, 17:01:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6850, top5_acc: 0.9244, loss_cls: 4.4647, loss: 4.4647 +2025-06-02 21:45:51,210 - pyskl - INFO - Epoch [5][1900/2353] lr: 2.494e-02, eta: 1 day, 17:01:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6713, top5_acc: 0.9263, loss_cls: 4.3495, loss: 4.3495 +2025-06-02 21:46:34,276 - pyskl - INFO - Epoch [5][2000/2353] lr: 2.494e-02, eta: 1 day, 17:00:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6906, top5_acc: 0.9325, loss_cls: 4.2641, loss: 4.2641 +2025-06-02 21:47:17,357 - pyskl - INFO - Epoch [5][2100/2353] lr: 2.493e-02, eta: 1 day, 16:59:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6950, top5_acc: 0.9394, loss_cls: 4.3586, loss: 4.3586 +2025-06-02 21:48:00,422 - pyskl - INFO - Epoch [5][2200/2353] lr: 2.493e-02, eta: 1 day, 16:58:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6831, top5_acc: 0.9319, loss_cls: 4.3539, loss: 4.3539 +2025-06-02 21:48:43,550 - pyskl - INFO - Epoch [5][2300/2353] lr: 2.493e-02, eta: 1 day, 16:57:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6737, top5_acc: 0.9263, loss_cls: 4.3948, loss: 4.3948 +2025-06-02 21:49:06,885 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-06-02 21:57:42,687 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:57:42,761 - pyskl - INFO - +top1_acc 0.7248 +top5_acc 0.9573 +2025-06-02 21:57:42,764 - pyskl - INFO - Epoch(val) [5][1184] top1_acc: 0.7248, top5_acc: 0.9573 +2025-06-02 21:58:47,074 - pyskl - INFO - Epoch [6][100/2353] lr: 2.493e-02, eta: 1 day, 16:55:59, time: 0.643, data_time: 0.209, memory: 13127, top1_acc: 0.6969, top5_acc: 0.9344, loss_cls: 4.2204, loss: 4.2204 +2025-06-02 21:59:30,229 - pyskl - INFO - Epoch [6][200/2353] lr: 2.493e-02, eta: 1 day, 16:55:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7069, top5_acc: 0.9413, loss_cls: 4.1710, loss: 4.1710 +2025-06-02 22:00:13,446 - pyskl - INFO - Epoch [6][300/2353] lr: 2.493e-02, eta: 1 day, 16:54:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6825, top5_acc: 0.9344, loss_cls: 4.2198, loss: 4.2198 +2025-06-02 22:00:56,611 - pyskl - INFO - Epoch [6][400/2353] lr: 2.493e-02, eta: 1 day, 16:53:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6963, top5_acc: 0.9344, loss_cls: 4.1850, loss: 4.1850 +2025-06-02 22:01:39,737 - pyskl - INFO - Epoch [6][500/2353] lr: 2.493e-02, eta: 1 day, 16:53:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6787, top5_acc: 0.9300, loss_cls: 4.3179, loss: 4.3179 +2025-06-02 22:02:22,889 - pyskl - INFO - Epoch [6][600/2353] lr: 2.492e-02, eta: 1 day, 16:52:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6900, top5_acc: 0.9287, loss_cls: 4.2083, loss: 4.2083 +2025-06-02 22:03:06,058 - pyskl - INFO - Epoch [6][700/2353] lr: 2.492e-02, eta: 1 day, 16:51:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6969, top5_acc: 0.9287, loss_cls: 4.3107, loss: 4.3107 +2025-06-02 22:03:49,187 - pyskl - INFO - Epoch [6][800/2353] lr: 2.492e-02, eta: 1 day, 16:50:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6881, top5_acc: 0.9313, loss_cls: 4.2970, loss: 4.2970 +2025-06-02 22:04:32,398 - pyskl - INFO - Epoch [6][900/2353] lr: 2.492e-02, eta: 1 day, 16:50:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7000, top5_acc: 0.9369, loss_cls: 4.2359, loss: 4.2359 +2025-06-02 22:05:15,588 - pyskl - INFO - Epoch [6][1000/2353] lr: 2.492e-02, eta: 1 day, 16:49:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6931, top5_acc: 0.9450, loss_cls: 4.1234, loss: 4.1234 +2025-06-02 22:05:58,854 - pyskl - INFO - Epoch [6][1100/2353] lr: 2.492e-02, eta: 1 day, 16:48:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6744, top5_acc: 0.9256, loss_cls: 4.3199, loss: 4.3199 +2025-06-02 22:06:41,993 - pyskl - INFO - Epoch [6][1200/2353] lr: 2.492e-02, eta: 1 day, 16:47:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7169, top5_acc: 0.9450, loss_cls: 4.2082, loss: 4.2082 +2025-06-02 22:07:25,069 - pyskl - INFO - Epoch [6][1300/2353] lr: 2.492e-02, eta: 1 day, 16:47:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6844, top5_acc: 0.9313, loss_cls: 4.2668, loss: 4.2668 +2025-06-02 22:08:08,161 - pyskl - INFO - Epoch [6][1400/2353] lr: 2.491e-02, eta: 1 day, 16:46:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7037, top5_acc: 0.9431, loss_cls: 4.1734, loss: 4.1734 +2025-06-02 22:08:51,294 - pyskl - INFO - Epoch [6][1500/2353] lr: 2.491e-02, eta: 1 day, 16:45:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7100, top5_acc: 0.9437, loss_cls: 4.0083, loss: 4.0083 +2025-06-02 22:09:34,403 - pyskl - INFO - Epoch [6][1600/2353] lr: 2.491e-02, eta: 1 day, 16:44:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6769, top5_acc: 0.9400, loss_cls: 4.3541, loss: 4.3541 +2025-06-02 22:10:17,530 - pyskl - INFO - Epoch [6][1700/2353] lr: 2.491e-02, eta: 1 day, 16:44:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6969, top5_acc: 0.9337, loss_cls: 4.1792, loss: 4.1792 +2025-06-02 22:11:00,729 - pyskl - INFO - Epoch [6][1800/2353] lr: 2.491e-02, eta: 1 day, 16:43:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6987, top5_acc: 0.9394, loss_cls: 4.2170, loss: 4.2170 +2025-06-02 22:11:43,842 - pyskl - INFO - Epoch [6][1900/2353] lr: 2.491e-02, eta: 1 day, 16:42:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7113, top5_acc: 0.9350, loss_cls: 4.1590, loss: 4.1590 +2025-06-02 22:12:27,022 - pyskl - INFO - Epoch [6][2000/2353] lr: 2.491e-02, eta: 1 day, 16:41:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7031, top5_acc: 0.9406, loss_cls: 4.0887, loss: 4.0887 +2025-06-02 22:13:10,098 - pyskl - INFO - Epoch [6][2100/2353] lr: 2.490e-02, eta: 1 day, 16:41:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6925, top5_acc: 0.9463, loss_cls: 4.1515, loss: 4.1515 +2025-06-02 22:13:53,197 - pyskl - INFO - Epoch [6][2200/2353] lr: 2.490e-02, eta: 1 day, 16:40:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6763, top5_acc: 0.9281, loss_cls: 4.3225, loss: 4.3225 +2025-06-02 22:14:36,271 - pyskl - INFO - Epoch [6][2300/2353] lr: 2.490e-02, eta: 1 day, 16:39:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7081, top5_acc: 0.9394, loss_cls: 4.2142, loss: 4.2142 +2025-06-02 22:14:59,716 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-06-02 22:16:26,014 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:16:26,088 - pyskl - INFO - +top1_acc 0.7342 +top5_acc 0.9632 +2025-06-02 22:16:26,144 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_4.pth was removed +2025-06-02 22:16:27,174 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-06-02 22:16:27,175 - pyskl - INFO - Best top1_acc is 0.7342 at 6 epoch. +2025-06-02 22:16:27,177 - pyskl - INFO - Epoch(val) [6][1184] top1_acc: 0.7342, top5_acc: 0.9632 +2025-06-02 22:17:30,693 - pyskl - INFO - Epoch [7][100/2353] lr: 2.490e-02, eta: 1 day, 16:37:30, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.6900, top5_acc: 0.9450, loss_cls: 4.1339, loss: 4.1339 +2025-06-02 22:18:13,865 - pyskl - INFO - Epoch [7][200/2353] lr: 2.490e-02, eta: 1 day, 16:36:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7288, top5_acc: 0.9444, loss_cls: 4.0132, loss: 4.0132 +2025-06-02 22:18:57,057 - pyskl - INFO - Epoch [7][300/2353] lr: 2.490e-02, eta: 1 day, 16:36:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7156, top5_acc: 0.9456, loss_cls: 4.0155, loss: 4.0155 +2025-06-02 22:19:40,315 - pyskl - INFO - Epoch [7][400/2353] lr: 2.490e-02, eta: 1 day, 16:35:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7338, top5_acc: 0.9437, loss_cls: 4.0565, loss: 4.0565 +2025-06-02 22:20:23,473 - pyskl - INFO - Epoch [7][500/2353] lr: 2.489e-02, eta: 1 day, 16:34:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7175, top5_acc: 0.9425, loss_cls: 4.0372, loss: 4.0372 +2025-06-02 22:21:06,818 - pyskl - INFO - Epoch [7][600/2353] lr: 2.489e-02, eta: 1 day, 16:34:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7063, top5_acc: 0.9375, loss_cls: 4.1513, loss: 4.1513 +2025-06-02 22:21:49,940 - pyskl - INFO - Epoch [7][700/2353] lr: 2.489e-02, eta: 1 day, 16:33:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7163, top5_acc: 0.9469, loss_cls: 4.0857, loss: 4.0857 +2025-06-02 22:22:33,019 - pyskl - INFO - Epoch [7][800/2353] lr: 2.489e-02, eta: 1 day, 16:32:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7156, top5_acc: 0.9375, loss_cls: 4.1975, loss: 4.1975 +2025-06-02 22:23:16,129 - pyskl - INFO - Epoch [7][900/2353] lr: 2.489e-02, eta: 1 day, 16:31:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7275, top5_acc: 0.9500, loss_cls: 4.0523, loss: 4.0523 +2025-06-02 22:23:59,222 - pyskl - INFO - Epoch [7][1000/2353] lr: 2.489e-02, eta: 1 day, 16:31:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7125, top5_acc: 0.9487, loss_cls: 4.0442, loss: 4.0442 +2025-06-02 22:24:42,318 - pyskl - INFO - Epoch [7][1100/2353] lr: 2.489e-02, eta: 1 day, 16:30:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7181, top5_acc: 0.9394, loss_cls: 4.0584, loss: 4.0584 +2025-06-02 22:25:25,511 - pyskl - INFO - Epoch [7][1200/2353] lr: 2.488e-02, eta: 1 day, 16:29:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7281, top5_acc: 0.9450, loss_cls: 4.0922, loss: 4.0922 +2025-06-02 22:26:08,622 - pyskl - INFO - Epoch [7][1300/2353] lr: 2.488e-02, eta: 1 day, 16:28:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7188, top5_acc: 0.9400, loss_cls: 4.0655, loss: 4.0655 +2025-06-02 22:26:51,780 - pyskl - INFO - Epoch [7][1400/2353] lr: 2.488e-02, eta: 1 day, 16:28:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7231, top5_acc: 0.9544, loss_cls: 3.9370, loss: 3.9370 +2025-06-02 22:27:34,899 - pyskl - INFO - Epoch [7][1500/2353] lr: 2.488e-02, eta: 1 day, 16:27:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7137, top5_acc: 0.9450, loss_cls: 4.0613, loss: 4.0613 +2025-06-02 22:28:18,050 - pyskl - INFO - Epoch [7][1600/2353] lr: 2.488e-02, eta: 1 day, 16:26:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7288, top5_acc: 0.9475, loss_cls: 4.0324, loss: 4.0324 +2025-06-02 22:29:01,099 - pyskl - INFO - Epoch [7][1700/2353] lr: 2.488e-02, eta: 1 day, 16:25:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7256, top5_acc: 0.9519, loss_cls: 3.9727, loss: 3.9727 +2025-06-02 22:29:44,235 - pyskl - INFO - Epoch [7][1800/2353] lr: 2.487e-02, eta: 1 day, 16:25:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7013, top5_acc: 0.9444, loss_cls: 4.1042, loss: 4.1042 +2025-06-02 22:30:27,314 - pyskl - INFO - Epoch [7][1900/2353] lr: 2.487e-02, eta: 1 day, 16:24:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7288, top5_acc: 0.9344, loss_cls: 4.0121, loss: 4.0121 +2025-06-02 22:31:10,426 - pyskl - INFO - Epoch [7][2000/2353] lr: 2.487e-02, eta: 1 day, 16:23:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7238, top5_acc: 0.9525, loss_cls: 3.9959, loss: 3.9959 +2025-06-02 22:31:53,524 - pyskl - INFO - Epoch [7][2100/2353] lr: 2.487e-02, eta: 1 day, 16:22:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9419, loss_cls: 3.9977, loss: 3.9977 +2025-06-02 22:32:36,649 - pyskl - INFO - Epoch [7][2200/2353] lr: 2.487e-02, eta: 1 day, 16:22:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7175, top5_acc: 0.9475, loss_cls: 3.9574, loss: 3.9574 +2025-06-02 22:33:19,728 - pyskl - INFO - Epoch [7][2300/2353] lr: 2.487e-02, eta: 1 day, 16:21:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7031, top5_acc: 0.9419, loss_cls: 4.1292, loss: 4.1292 +2025-06-02 22:33:43,089 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-06-02 22:35:08,663 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:35:08,737 - pyskl - INFO - +top1_acc 0.7592 +top5_acc 0.9631 +2025-06-02 22:35:08,793 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_6.pth was removed +2025-06-02 22:35:09,817 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-06-02 22:35:09,817 - pyskl - INFO - Best top1_acc is 0.7592 at 7 epoch. +2025-06-02 22:35:09,820 - pyskl - INFO - Epoch(val) [7][1184] top1_acc: 0.7592, top5_acc: 0.9631 +2025-06-02 22:36:13,415 - pyskl - INFO - Epoch [8][100/2353] lr: 2.486e-02, eta: 1 day, 16:19:27, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.7356, top5_acc: 0.9600, loss_cls: 3.8444, loss: 3.8444 +2025-06-02 22:36:56,611 - pyskl - INFO - Epoch [8][200/2353] lr: 2.486e-02, eta: 1 day, 16:18:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9519, loss_cls: 3.9416, loss: 3.9416 +2025-06-02 22:37:39,774 - pyskl - INFO - Epoch [8][300/2353] lr: 2.486e-02, eta: 1 day, 16:18:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7300, top5_acc: 0.9406, loss_cls: 4.0632, loss: 4.0632 +2025-06-02 22:38:23,193 - pyskl - INFO - Epoch [8][400/2353] lr: 2.486e-02, eta: 1 day, 16:17:24, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7113, top5_acc: 0.9463, loss_cls: 3.9984, loss: 3.9984 +2025-06-02 22:39:06,426 - pyskl - INFO - Epoch [8][500/2353] lr: 2.486e-02, eta: 1 day, 16:16:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7169, top5_acc: 0.9469, loss_cls: 4.0158, loss: 4.0158 +2025-06-02 22:39:49,777 - pyskl - INFO - Epoch [8][600/2353] lr: 2.486e-02, eta: 1 day, 16:16:03, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7338, top5_acc: 0.9500, loss_cls: 4.0603, loss: 4.0603 +2025-06-02 22:40:32,986 - pyskl - INFO - Epoch [8][700/2353] lr: 2.485e-02, eta: 1 day, 16:15:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7281, top5_acc: 0.9381, loss_cls: 4.0335, loss: 4.0335 +2025-06-02 22:41:16,211 - pyskl - INFO - Epoch [8][800/2353] lr: 2.485e-02, eta: 1 day, 16:14:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7300, top5_acc: 0.9506, loss_cls: 3.9093, loss: 3.9093 +2025-06-02 22:41:59,324 - pyskl - INFO - Epoch [8][900/2353] lr: 2.485e-02, eta: 1 day, 16:13:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7444, top5_acc: 0.9575, loss_cls: 3.9367, loss: 3.9367 +2025-06-02 22:42:42,431 - pyskl - INFO - Epoch [8][1000/2353] lr: 2.485e-02, eta: 1 day, 16:13:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7300, top5_acc: 0.9431, loss_cls: 3.9890, loss: 3.9890 +2025-06-02 22:43:25,544 - pyskl - INFO - Epoch [8][1100/2353] lr: 2.485e-02, eta: 1 day, 16:12:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7344, top5_acc: 0.9513, loss_cls: 3.8817, loss: 3.8817 +2025-06-02 22:44:08,666 - pyskl - INFO - Epoch [8][1200/2353] lr: 2.485e-02, eta: 1 day, 16:11:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7181, top5_acc: 0.9494, loss_cls: 3.9914, loss: 3.9914 +2025-06-02 22:44:51,797 - pyskl - INFO - Epoch [8][1300/2353] lr: 2.484e-02, eta: 1 day, 16:10:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7294, top5_acc: 0.9525, loss_cls: 4.0114, loss: 4.0114 +2025-06-02 22:45:34,675 - pyskl - INFO - Epoch [8][1400/2353] lr: 2.484e-02, eta: 1 day, 16:10:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7256, top5_acc: 0.9519, loss_cls: 3.8914, loss: 3.8914 +2025-06-02 22:46:17,740 - pyskl - INFO - Epoch [8][1500/2353] lr: 2.484e-02, eta: 1 day, 16:09:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7338, top5_acc: 0.9475, loss_cls: 3.9630, loss: 3.9630 +2025-06-02 22:47:00,812 - pyskl - INFO - Epoch [8][1600/2353] lr: 2.484e-02, eta: 1 day, 16:08:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7462, top5_acc: 0.9487, loss_cls: 3.8476, loss: 3.8476 +2025-06-02 22:47:43,873 - pyskl - INFO - Epoch [8][1700/2353] lr: 2.484e-02, eta: 1 day, 16:07:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7256, top5_acc: 0.9556, loss_cls: 3.8950, loss: 3.8950 +2025-06-02 22:48:26,963 - pyskl - INFO - Epoch [8][1800/2353] lr: 2.484e-02, eta: 1 day, 16:07:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7500, top5_acc: 0.9494, loss_cls: 3.9358, loss: 3.9358 +2025-06-02 22:49:09,980 - pyskl - INFO - Epoch [8][1900/2353] lr: 2.483e-02, eta: 1 day, 16:06:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7344, top5_acc: 0.9425, loss_cls: 3.9344, loss: 3.9344 +2025-06-02 22:49:53,057 - pyskl - INFO - Epoch [8][2000/2353] lr: 2.483e-02, eta: 1 day, 16:05:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7288, top5_acc: 0.9425, loss_cls: 3.9955, loss: 3.9955 +2025-06-02 22:50:36,174 - pyskl - INFO - Epoch [8][2100/2353] lr: 2.483e-02, eta: 1 day, 16:04:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7244, top5_acc: 0.9469, loss_cls: 3.9568, loss: 3.9568 +2025-06-02 22:51:19,233 - pyskl - INFO - Epoch [8][2200/2353] lr: 2.483e-02, eta: 1 day, 16:04:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7275, top5_acc: 0.9381, loss_cls: 3.8926, loss: 3.8926 +2025-06-02 22:52:02,309 - pyskl - INFO - Epoch [8][2300/2353] lr: 2.483e-02, eta: 1 day, 16:03:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7250, top5_acc: 0.9450, loss_cls: 4.0316, loss: 4.0316 +2025-06-02 22:52:25,741 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-06-02 22:53:51,169 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:53:51,242 - pyskl - INFO - +top1_acc 0.7795 +top5_acc 0.9671 +2025-06-02 22:53:51,298 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_7.pth was removed +2025-06-02 22:53:52,340 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-06-02 22:53:52,340 - pyskl - INFO - Best top1_acc is 0.7795 at 8 epoch. +2025-06-02 22:53:52,343 - pyskl - INFO - Epoch(val) [8][1184] top1_acc: 0.7795, top5_acc: 0.9671 +2025-06-02 22:54:55,958 - pyskl - INFO - Epoch [9][100/2353] lr: 2.482e-02, eta: 1 day, 16:01:39, time: 0.636, data_time: 0.206, memory: 13127, top1_acc: 0.7238, top5_acc: 0.9544, loss_cls: 3.8688, loss: 3.8688 +2025-06-02 22:55:39,023 - pyskl - INFO - Epoch [9][200/2353] lr: 2.482e-02, eta: 1 day, 16:00:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7594, top5_acc: 0.9537, loss_cls: 3.8504, loss: 3.8504 +2025-06-02 22:56:22,200 - pyskl - INFO - Epoch [9][300/2353] lr: 2.482e-02, eta: 1 day, 16:00:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7475, top5_acc: 0.9581, loss_cls: 3.8205, loss: 3.8205 +2025-06-02 22:57:05,409 - pyskl - INFO - Epoch [9][400/2353] lr: 2.482e-02, eta: 1 day, 15:59:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7612, top5_acc: 0.9544, loss_cls: 3.7704, loss: 3.7704 +2025-06-02 22:57:48,665 - pyskl - INFO - Epoch [9][500/2353] lr: 2.482e-02, eta: 1 day, 15:58:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7394, top5_acc: 0.9469, loss_cls: 3.8849, loss: 3.8849 +2025-06-02 22:58:31,978 - pyskl - INFO - Epoch [9][600/2353] lr: 2.481e-02, eta: 1 day, 15:58:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7512, top5_acc: 0.9500, loss_cls: 3.7445, loss: 3.7445 +2025-06-02 22:59:15,201 - pyskl - INFO - Epoch [9][700/2353] lr: 2.481e-02, eta: 1 day, 15:57:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7450, top5_acc: 0.9525, loss_cls: 3.9211, loss: 3.9211 +2025-06-02 22:59:58,460 - pyskl - INFO - Epoch [9][800/2353] lr: 2.481e-02, eta: 1 day, 15:56:46, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7306, top5_acc: 0.9494, loss_cls: 3.9714, loss: 3.9714 +2025-06-02 23:00:41,666 - pyskl - INFO - Epoch [9][900/2353] lr: 2.481e-02, eta: 1 day, 15:56:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7350, top5_acc: 0.9487, loss_cls: 3.9150, loss: 3.9150 +2025-06-02 23:01:24,863 - pyskl - INFO - Epoch [9][1000/2353] lr: 2.481e-02, eta: 1 day, 15:55:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7362, top5_acc: 0.9537, loss_cls: 3.8314, loss: 3.8314 +2025-06-02 23:02:08,079 - pyskl - INFO - Epoch [9][1100/2353] lr: 2.480e-02, eta: 1 day, 15:54:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7606, top5_acc: 0.9537, loss_cls: 3.8971, loss: 3.8971 +2025-06-02 23:02:51,258 - pyskl - INFO - Epoch [9][1200/2353] lr: 2.480e-02, eta: 1 day, 15:53:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7175, top5_acc: 0.9381, loss_cls: 4.0403, loss: 4.0403 +2025-06-02 23:03:34,434 - pyskl - INFO - Epoch [9][1300/2353] lr: 2.480e-02, eta: 1 day, 15:53:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7231, top5_acc: 0.9569, loss_cls: 3.9097, loss: 3.9097 +2025-06-02 23:04:17,593 - pyskl - INFO - Epoch [9][1400/2353] lr: 2.480e-02, eta: 1 day, 15:52:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7331, top5_acc: 0.9444, loss_cls: 3.9204, loss: 3.9204 +2025-06-02 23:05:00,736 - pyskl - INFO - Epoch [9][1500/2353] lr: 2.480e-02, eta: 1 day, 15:51:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9519, loss_cls: 3.7937, loss: 3.7937 +2025-06-02 23:05:43,935 - pyskl - INFO - Epoch [9][1600/2353] lr: 2.479e-02, eta: 1 day, 15:51:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7675, top5_acc: 0.9556, loss_cls: 3.7340, loss: 3.7340 +2025-06-02 23:06:27,023 - pyskl - INFO - Epoch [9][1700/2353] lr: 2.479e-02, eta: 1 day, 15:50:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7425, top5_acc: 0.9537, loss_cls: 3.8560, loss: 3.8560 +2025-06-02 23:07:10,153 - pyskl - INFO - Epoch [9][1800/2353] lr: 2.479e-02, eta: 1 day, 15:49:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7462, top5_acc: 0.9569, loss_cls: 3.9230, loss: 3.9230 +2025-06-02 23:07:53,325 - pyskl - INFO - Epoch [9][1900/2353] lr: 2.479e-02, eta: 1 day, 15:48:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7512, top5_acc: 0.9513, loss_cls: 3.7877, loss: 3.7877 +2025-06-02 23:08:36,479 - pyskl - INFO - Epoch [9][2000/2353] lr: 2.479e-02, eta: 1 day, 15:48:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7556, top5_acc: 0.9563, loss_cls: 3.8036, loss: 3.8036 +2025-06-02 23:09:19,634 - pyskl - INFO - Epoch [9][2100/2353] lr: 2.478e-02, eta: 1 day, 15:47:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7456, top5_acc: 0.9513, loss_cls: 3.8431, loss: 3.8431 +2025-06-02 23:10:02,742 - pyskl - INFO - Epoch [9][2200/2353] lr: 2.478e-02, eta: 1 day, 15:46:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7538, top5_acc: 0.9475, loss_cls: 3.8101, loss: 3.8101 +2025-06-02 23:10:45,930 - pyskl - INFO - Epoch [9][2300/2353] lr: 2.478e-02, eta: 1 day, 15:46:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7575, top5_acc: 0.9531, loss_cls: 3.8464, loss: 3.8464 +2025-06-02 23:11:09,417 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-06-02 23:12:34,983 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:12:35,058 - pyskl - INFO - +top1_acc 0.8126 +top5_acc 0.9797 +2025-06-02 23:12:35,115 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_8.pth was removed +2025-06-02 23:12:36,186 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-06-02 23:12:36,187 - pyskl - INFO - Best top1_acc is 0.8126 at 9 epoch. +2025-06-02 23:12:36,190 - pyskl - INFO - Epoch(val) [9][1184] top1_acc: 0.8126, top5_acc: 0.9797 +2025-06-02 23:13:40,014 - pyskl - INFO - Epoch [10][100/2353] lr: 2.478e-02, eta: 1 day, 15:44:24, time: 0.638, data_time: 0.203, memory: 13127, top1_acc: 0.7312, top5_acc: 0.9456, loss_cls: 3.9300, loss: 3.9300 +2025-06-02 23:14:23,189 - pyskl - INFO - Epoch [10][200/2353] lr: 2.477e-02, eta: 1 day, 15:43:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7556, top5_acc: 0.9494, loss_cls: 3.7870, loss: 3.7870 +2025-06-02 23:15:06,273 - pyskl - INFO - Epoch [10][300/2353] lr: 2.477e-02, eta: 1 day, 15:42:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7644, top5_acc: 0.9569, loss_cls: 3.8367, loss: 3.8367 +2025-06-02 23:15:49,354 - pyskl - INFO - Epoch [10][400/2353] lr: 2.477e-02, eta: 1 day, 15:42:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7494, top5_acc: 0.9563, loss_cls: 3.8230, loss: 3.8230 +2025-06-02 23:16:32,576 - pyskl - INFO - Epoch [10][500/2353] lr: 2.477e-02, eta: 1 day, 15:41:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7556, top5_acc: 0.9581, loss_cls: 3.7603, loss: 3.7603 +2025-06-02 23:17:15,753 - pyskl - INFO - Epoch [10][600/2353] lr: 2.477e-02, eta: 1 day, 15:40:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7375, top5_acc: 0.9469, loss_cls: 3.8264, loss: 3.8264 +2025-06-02 23:17:58,809 - pyskl - INFO - Epoch [10][700/2353] lr: 2.476e-02, eta: 1 day, 15:40:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7350, top5_acc: 0.9469, loss_cls: 3.8741, loss: 3.8741 +2025-06-02 23:18:41,915 - pyskl - INFO - Epoch [10][800/2353] lr: 2.476e-02, eta: 1 day, 15:39:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7644, top5_acc: 0.9544, loss_cls: 3.7559, loss: 3.7559 +2025-06-02 23:19:24,997 - pyskl - INFO - Epoch [10][900/2353] lr: 2.476e-02, eta: 1 day, 15:38:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7569, top5_acc: 0.9569, loss_cls: 3.7942, loss: 3.7942 +2025-06-02 23:20:08,158 - pyskl - INFO - Epoch [10][1000/2353] lr: 2.476e-02, eta: 1 day, 15:37:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7625, top5_acc: 0.9500, loss_cls: 3.7883, loss: 3.7883 +2025-06-02 23:20:51,247 - pyskl - INFO - Epoch [10][1100/2353] lr: 2.476e-02, eta: 1 day, 15:37:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7438, top5_acc: 0.9481, loss_cls: 3.6775, loss: 3.6775 +2025-06-02 23:21:34,412 - pyskl - INFO - Epoch [10][1200/2353] lr: 2.475e-02, eta: 1 day, 15:36:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7569, top5_acc: 0.9519, loss_cls: 3.7742, loss: 3.7742 +2025-06-02 23:22:17,534 - pyskl - INFO - Epoch [10][1300/2353] lr: 2.475e-02, eta: 1 day, 15:35:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7656, top5_acc: 0.9619, loss_cls: 3.7462, loss: 3.7462 +2025-06-02 23:23:00,694 - pyskl - INFO - Epoch [10][1400/2353] lr: 2.475e-02, eta: 1 day, 15:35:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7512, top5_acc: 0.9556, loss_cls: 3.8466, loss: 3.8466 +2025-06-02 23:23:43,829 - pyskl - INFO - Epoch [10][1500/2353] lr: 2.475e-02, eta: 1 day, 15:34:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7456, top5_acc: 0.9550, loss_cls: 3.7892, loss: 3.7892 +2025-06-02 23:24:26,928 - pyskl - INFO - Epoch [10][1600/2353] lr: 2.474e-02, eta: 1 day, 15:33:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7406, top5_acc: 0.9494, loss_cls: 3.7577, loss: 3.7577 +2025-06-02 23:25:10,056 - pyskl - INFO - Epoch [10][1700/2353] lr: 2.474e-02, eta: 1 day, 15:32:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9575, loss_cls: 3.7092, loss: 3.7092 +2025-06-02 23:25:53,078 - pyskl - INFO - Epoch [10][1800/2353] lr: 2.474e-02, eta: 1 day, 15:32:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7712, top5_acc: 0.9656, loss_cls: 3.6710, loss: 3.6710 +2025-06-02 23:26:36,079 - pyskl - INFO - Epoch [10][1900/2353] lr: 2.474e-02, eta: 1 day, 15:31:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9463, loss_cls: 3.8108, loss: 3.8108 +2025-06-02 23:27:19,123 - pyskl - INFO - Epoch [10][2000/2353] lr: 2.473e-02, eta: 1 day, 15:30:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7669, top5_acc: 0.9600, loss_cls: 3.7101, loss: 3.7101 +2025-06-02 23:28:02,152 - pyskl - INFO - Epoch [10][2100/2353] lr: 2.473e-02, eta: 1 day, 15:29:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7600, top5_acc: 0.9613, loss_cls: 3.7306, loss: 3.7306 +2025-06-02 23:28:45,222 - pyskl - INFO - Epoch [10][2200/2353] lr: 2.473e-02, eta: 1 day, 15:29:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9600, loss_cls: 3.5906, loss: 3.5906 +2025-06-02 23:29:28,234 - pyskl - INFO - Epoch [10][2300/2353] lr: 2.473e-02, eta: 1 day, 15:28:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7644, top5_acc: 0.9506, loss_cls: 3.7832, loss: 3.7832 +2025-06-02 23:29:51,627 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-06-02 23:39:00,363 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:39:00,439 - pyskl - INFO - +top1_acc 0.8166 +top5_acc 0.9781 +2025-06-02 23:39:00,496 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_9.pth was removed +2025-06-02 23:39:01,500 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-06-02 23:39:01,501 - pyskl - INFO - Best top1_acc is 0.8166 at 10 epoch. +2025-06-02 23:39:01,504 - pyskl - INFO - Epoch(val) [10][1184] top1_acc: 0.8166, top5_acc: 0.9781 +2025-06-02 23:40:05,444 - pyskl - INFO - Epoch [11][100/2353] lr: 2.472e-02, eta: 1 day, 15:26:50, time: 0.639, data_time: 0.209, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9631, loss_cls: 3.7206, loss: 3.7206 +2025-06-02 23:40:48,863 - pyskl - INFO - Epoch [11][200/2353] lr: 2.472e-02, eta: 1 day, 15:26:11, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9600, loss_cls: 3.6945, loss: 3.6945 +2025-06-02 23:41:31,960 - pyskl - INFO - Epoch [11][300/2353] lr: 2.472e-02, eta: 1 day, 15:25:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9663, loss_cls: 3.6058, loss: 3.6058 +2025-06-02 23:42:14,954 - pyskl - INFO - Epoch [11][400/2353] lr: 2.472e-02, eta: 1 day, 15:24:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7481, top5_acc: 0.9513, loss_cls: 3.7753, loss: 3.7753 +2025-06-02 23:42:58,222 - pyskl - INFO - Epoch [11][500/2353] lr: 2.472e-02, eta: 1 day, 15:24:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9525, loss_cls: 3.6849, loss: 3.6849 +2025-06-02 23:43:41,555 - pyskl - INFO - Epoch [11][600/2353] lr: 2.471e-02, eta: 1 day, 15:23:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7500, top5_acc: 0.9537, loss_cls: 3.8251, loss: 3.8251 +2025-06-02 23:44:24,950 - pyskl - INFO - Epoch [11][700/2353] lr: 2.471e-02, eta: 1 day, 15:22:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9587, loss_cls: 3.6156, loss: 3.6156 +2025-06-02 23:45:08,200 - pyskl - INFO - Epoch [11][800/2353] lr: 2.471e-02, eta: 1 day, 15:22:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7512, top5_acc: 0.9581, loss_cls: 3.7549, loss: 3.7549 +2025-06-02 23:45:51,302 - pyskl - INFO - Epoch [11][900/2353] lr: 2.471e-02, eta: 1 day, 15:21:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7775, top5_acc: 0.9569, loss_cls: 3.7352, loss: 3.7352 +2025-06-02 23:46:34,475 - pyskl - INFO - Epoch [11][1000/2353] lr: 2.470e-02, eta: 1 day, 15:20:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7394, top5_acc: 0.9494, loss_cls: 3.8556, loss: 3.8556 +2025-06-02 23:47:17,506 - pyskl - INFO - Epoch [11][1100/2353] lr: 2.470e-02, eta: 1 day, 15:19:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7719, top5_acc: 0.9600, loss_cls: 3.5433, loss: 3.5433 +2025-06-02 23:48:00,570 - pyskl - INFO - Epoch [11][1200/2353] lr: 2.470e-02, eta: 1 day, 15:19:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7469, top5_acc: 0.9531, loss_cls: 3.7958, loss: 3.7958 +2025-06-02 23:48:43,718 - pyskl - INFO - Epoch [11][1300/2353] lr: 2.470e-02, eta: 1 day, 15:18:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7612, top5_acc: 0.9531, loss_cls: 3.7311, loss: 3.7311 +2025-06-02 23:49:26,750 - pyskl - INFO - Epoch [11][1400/2353] lr: 2.469e-02, eta: 1 day, 15:17:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7606, top5_acc: 0.9500, loss_cls: 3.7990, loss: 3.7990 +2025-06-02 23:50:09,869 - pyskl - INFO - Epoch [11][1500/2353] lr: 2.469e-02, eta: 1 day, 15:16:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7562, top5_acc: 0.9544, loss_cls: 3.7237, loss: 3.7237 +2025-06-02 23:50:52,900 - pyskl - INFO - Epoch [11][1600/2353] lr: 2.469e-02, eta: 1 day, 15:16:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7531, top5_acc: 0.9587, loss_cls: 3.7128, loss: 3.7128 +2025-06-02 23:51:35,930 - pyskl - INFO - Epoch [11][1700/2353] lr: 2.469e-02, eta: 1 day, 15:15:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7669, top5_acc: 0.9406, loss_cls: 3.6350, loss: 3.6350 +2025-06-02 23:52:18,993 - pyskl - INFO - Epoch [11][1800/2353] lr: 2.468e-02, eta: 1 day, 15:14:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9550, loss_cls: 3.7291, loss: 3.7291 +2025-06-02 23:53:02,181 - pyskl - INFO - Epoch [11][1900/2353] lr: 2.468e-02, eta: 1 day, 15:14:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9650, loss_cls: 3.6733, loss: 3.6733 +2025-06-02 23:53:45,321 - pyskl - INFO - Epoch [11][2000/2353] lr: 2.468e-02, eta: 1 day, 15:13:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7538, top5_acc: 0.9619, loss_cls: 3.7100, loss: 3.7100 +2025-06-02 23:54:28,558 - pyskl - INFO - Epoch [11][2100/2353] lr: 2.468e-02, eta: 1 day, 15:12:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7575, top5_acc: 0.9587, loss_cls: 3.7484, loss: 3.7484 +2025-06-02 23:55:11,769 - pyskl - INFO - Epoch [11][2200/2353] lr: 2.467e-02, eta: 1 day, 15:11:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7544, top5_acc: 0.9544, loss_cls: 3.8306, loss: 3.8306 +2025-06-02 23:55:54,969 - pyskl - INFO - Epoch [11][2300/2353] lr: 2.467e-02, eta: 1 day, 15:11:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7681, top5_acc: 0.9606, loss_cls: 3.5550, loss: 3.5550 +2025-06-02 23:56:18,456 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-06-02 23:57:43,942 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:57:44,017 - pyskl - INFO - +top1_acc 0.8096 +top5_acc 0.9770 +2025-06-02 23:57:44,020 - pyskl - INFO - Epoch(val) [11][1184] top1_acc: 0.8096, top5_acc: 0.9770 +2025-06-02 23:58:47,479 - pyskl - INFO - Epoch [12][100/2353] lr: 2.467e-02, eta: 1 day, 15:09:34, time: 0.635, data_time: 0.203, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9631, loss_cls: 3.6033, loss: 3.6033 +2025-06-02 23:59:30,697 - pyskl - INFO - Epoch [12][200/2353] lr: 2.466e-02, eta: 1 day, 15:08:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9594, loss_cls: 3.6131, loss: 3.6131 +2025-06-03 00:00:13,796 - pyskl - INFO - Epoch [12][300/2353] lr: 2.466e-02, eta: 1 day, 15:08:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7406, top5_acc: 0.9556, loss_cls: 3.6842, loss: 3.6842 +2025-06-03 00:00:56,991 - pyskl - INFO - Epoch [12][400/2353] lr: 2.466e-02, eta: 1 day, 15:07:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9663, loss_cls: 3.6115, loss: 3.6115 +2025-06-03 00:01:40,308 - pyskl - INFO - Epoch [12][500/2353] lr: 2.466e-02, eta: 1 day, 15:06:46, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7662, top5_acc: 0.9600, loss_cls: 3.6627, loss: 3.6627 +2025-06-03 00:02:23,492 - pyskl - INFO - Epoch [12][600/2353] lr: 2.465e-02, eta: 1 day, 15:06:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7662, top5_acc: 0.9581, loss_cls: 3.7363, loss: 3.7363 +2025-06-03 00:03:06,672 - pyskl - INFO - Epoch [12][700/2353] lr: 2.465e-02, eta: 1 day, 15:05:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7806, top5_acc: 0.9531, loss_cls: 3.6852, loss: 3.6852 +2025-06-03 00:03:49,974 - pyskl - INFO - Epoch [12][800/2353] lr: 2.465e-02, eta: 1 day, 15:04:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9537, loss_cls: 3.6557, loss: 3.6557 +2025-06-03 00:04:33,169 - pyskl - INFO - Epoch [12][900/2353] lr: 2.465e-02, eta: 1 day, 15:03:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7400, top5_acc: 0.9594, loss_cls: 3.7670, loss: 3.7670 +2025-06-03 00:05:16,209 - pyskl - INFO - Epoch [12][1000/2353] lr: 2.464e-02, eta: 1 day, 15:03:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7588, top5_acc: 0.9563, loss_cls: 3.7080, loss: 3.7080 +2025-06-03 00:05:59,299 - pyskl - INFO - Epoch [12][1100/2353] lr: 2.464e-02, eta: 1 day, 15:02:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7581, top5_acc: 0.9581, loss_cls: 3.6368, loss: 3.6368 +2025-06-03 00:06:42,406 - pyskl - INFO - Epoch [12][1200/2353] lr: 2.464e-02, eta: 1 day, 15:01:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7562, top5_acc: 0.9594, loss_cls: 3.7230, loss: 3.7230 +2025-06-03 00:07:25,506 - pyskl - INFO - Epoch [12][1300/2353] lr: 2.464e-02, eta: 1 day, 15:01:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7812, top5_acc: 0.9644, loss_cls: 3.5209, loss: 3.5209 +2025-06-03 00:08:08,630 - pyskl - INFO - Epoch [12][1400/2353] lr: 2.463e-02, eta: 1 day, 15:00:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9644, loss_cls: 3.5889, loss: 3.5889 +2025-06-03 00:08:51,714 - pyskl - INFO - Epoch [12][1500/2353] lr: 2.463e-02, eta: 1 day, 14:59:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7819, top5_acc: 0.9631, loss_cls: 3.5386, loss: 3.5386 +2025-06-03 00:09:34,867 - pyskl - INFO - Epoch [12][1600/2353] lr: 2.463e-02, eta: 1 day, 14:58:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9544, loss_cls: 3.7715, loss: 3.7715 +2025-06-03 00:10:17,954 - pyskl - INFO - Epoch [12][1700/2353] lr: 2.463e-02, eta: 1 day, 14:58:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9606, loss_cls: 3.6130, loss: 3.6130 +2025-06-03 00:11:01,038 - pyskl - INFO - Epoch [12][1800/2353] lr: 2.462e-02, eta: 1 day, 14:57:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9650, loss_cls: 3.6489, loss: 3.6489 +2025-06-03 00:11:44,150 - pyskl - INFO - Epoch [12][1900/2353] lr: 2.462e-02, eta: 1 day, 14:56:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7712, top5_acc: 0.9631, loss_cls: 3.5730, loss: 3.5730 +2025-06-03 00:12:27,355 - pyskl - INFO - Epoch [12][2000/2353] lr: 2.462e-02, eta: 1 day, 14:56:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7612, top5_acc: 0.9637, loss_cls: 3.6136, loss: 3.6136 +2025-06-03 00:13:10,572 - pyskl - INFO - Epoch [12][2100/2353] lr: 2.461e-02, eta: 1 day, 14:55:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7656, top5_acc: 0.9569, loss_cls: 3.7006, loss: 3.7006 +2025-06-03 00:13:53,683 - pyskl - INFO - Epoch [12][2200/2353] lr: 2.461e-02, eta: 1 day, 14:54:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9587, loss_cls: 3.5599, loss: 3.5599 +2025-06-03 00:14:36,729 - pyskl - INFO - Epoch [12][2300/2353] lr: 2.461e-02, eta: 1 day, 14:53:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9606, loss_cls: 3.7124, loss: 3.7124 +2025-06-03 00:15:00,067 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-06-03 00:16:25,554 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:16:25,631 - pyskl - INFO - +top1_acc 0.8337 +top5_acc 0.9828 +2025-06-03 00:16:25,682 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_10.pth was removed +2025-06-03 00:16:26,673 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-06-03 00:16:26,674 - pyskl - INFO - Best top1_acc is 0.8337 at 12 epoch. +2025-06-03 00:16:26,676 - pyskl - INFO - Epoch(val) [12][1184] top1_acc: 0.8337, top5_acc: 0.9828 +2025-06-03 00:17:30,259 - pyskl - INFO - Epoch [13][100/2353] lr: 2.460e-02, eta: 1 day, 14:52:20, time: 0.636, data_time: 0.201, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9537, loss_cls: 3.6491, loss: 3.6491 +2025-06-03 00:18:13,373 - pyskl - INFO - Epoch [13][200/2353] lr: 2.460e-02, eta: 1 day, 14:51:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7656, top5_acc: 0.9519, loss_cls: 3.7018, loss: 3.7018 +2025-06-03 00:18:56,440 - pyskl - INFO - Epoch [13][300/2353] lr: 2.460e-02, eta: 1 day, 14:50:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9563, loss_cls: 3.5484, loss: 3.5484 +2025-06-03 00:19:39,566 - pyskl - INFO - Epoch [13][400/2353] lr: 2.460e-02, eta: 1 day, 14:50:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9650, loss_cls: 3.4765, loss: 3.4765 +2025-06-03 00:20:23,029 - pyskl - INFO - Epoch [13][500/2353] lr: 2.459e-02, eta: 1 day, 14:49:31, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.7812, top5_acc: 0.9587, loss_cls: 3.5344, loss: 3.5344 +2025-06-03 00:21:06,310 - pyskl - INFO - Epoch [13][600/2353] lr: 2.459e-02, eta: 1 day, 14:48:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9587, loss_cls: 3.5878, loss: 3.5878 +2025-06-03 00:21:49,495 - pyskl - INFO - Epoch [13][700/2353] lr: 2.459e-02, eta: 1 day, 14:48:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9550, loss_cls: 3.6081, loss: 3.6081 +2025-06-03 00:22:32,681 - pyskl - INFO - Epoch [13][800/2353] lr: 2.458e-02, eta: 1 day, 14:47:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9537, loss_cls: 3.7457, loss: 3.7457 +2025-06-03 00:23:15,775 - pyskl - INFO - Epoch [13][900/2353] lr: 2.458e-02, eta: 1 day, 14:46:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9631, loss_cls: 3.6161, loss: 3.6161 +2025-06-03 00:23:58,939 - pyskl - INFO - Epoch [13][1000/2353] lr: 2.458e-02, eta: 1 day, 14:45:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7913, top5_acc: 0.9700, loss_cls: 3.5277, loss: 3.5277 +2025-06-03 00:24:42,067 - pyskl - INFO - Epoch [13][1100/2353] lr: 2.458e-02, eta: 1 day, 14:45:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9619, loss_cls: 3.5866, loss: 3.5866 +2025-06-03 00:25:25,187 - pyskl - INFO - Epoch [13][1200/2353] lr: 2.457e-02, eta: 1 day, 14:44:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9581, loss_cls: 3.6121, loss: 3.6121 +2025-06-03 00:26:08,280 - pyskl - INFO - Epoch [13][1300/2353] lr: 2.457e-02, eta: 1 day, 14:43:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9637, loss_cls: 3.5324, loss: 3.5324 +2025-06-03 00:26:51,443 - pyskl - INFO - Epoch [13][1400/2353] lr: 2.457e-02, eta: 1 day, 14:43:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9656, loss_cls: 3.6085, loss: 3.6085 +2025-06-03 00:27:34,334 - pyskl - INFO - Epoch [13][1500/2353] lr: 2.456e-02, eta: 1 day, 14:42:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7600, top5_acc: 0.9431, loss_cls: 3.7423, loss: 3.7423 +2025-06-03 00:28:17,026 - pyskl - INFO - Epoch [13][1600/2353] lr: 2.456e-02, eta: 1 day, 14:41:34, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.7831, top5_acc: 0.9700, loss_cls: 3.5642, loss: 3.5642 +2025-06-03 00:29:00,166 - pyskl - INFO - Epoch [13][1700/2353] lr: 2.456e-02, eta: 1 day, 14:40:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7638, top5_acc: 0.9613, loss_cls: 3.6126, loss: 3.6126 +2025-06-03 00:29:43,357 - pyskl - INFO - Epoch [13][1800/2353] lr: 2.456e-02, eta: 1 day, 14:40:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7650, top5_acc: 0.9644, loss_cls: 3.6716, loss: 3.6716 +2025-06-03 00:30:26,477 - pyskl - INFO - Epoch [13][1900/2353] lr: 2.455e-02, eta: 1 day, 14:39:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9613, loss_cls: 3.5528, loss: 3.5528 +2025-06-03 00:31:09,543 - pyskl - INFO - Epoch [13][2000/2353] lr: 2.455e-02, eta: 1 day, 14:38:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7712, top5_acc: 0.9619, loss_cls: 3.6099, loss: 3.6099 +2025-06-03 00:31:52,690 - pyskl - INFO - Epoch [13][2100/2353] lr: 2.455e-02, eta: 1 day, 14:38:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9569, loss_cls: 3.6629, loss: 3.6629 +2025-06-03 00:32:35,765 - pyskl - INFO - Epoch [13][2200/2353] lr: 2.454e-02, eta: 1 day, 14:37:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9656, loss_cls: 3.5100, loss: 3.5100 +2025-06-03 00:33:18,861 - pyskl - INFO - Epoch [13][2300/2353] lr: 2.454e-02, eta: 1 day, 14:36:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7394, top5_acc: 0.9419, loss_cls: 3.8196, loss: 3.8196 +2025-06-03 00:33:42,227 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-06-03 00:35:07,858 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:35:07,933 - pyskl - INFO - +top1_acc 0.8107 +top5_acc 0.9782 +2025-06-03 00:35:07,936 - pyskl - INFO - Epoch(val) [13][1184] top1_acc: 0.8107, top5_acc: 0.9782 +2025-06-03 00:36:11,508 - pyskl - INFO - Epoch [14][100/2353] lr: 2.454e-02, eta: 1 day, 14:35:02, time: 0.636, data_time: 0.204, memory: 13127, top1_acc: 0.7812, top5_acc: 0.9581, loss_cls: 3.5965, loss: 3.5965 +2025-06-03 00:36:54,678 - pyskl - INFO - Epoch [14][200/2353] lr: 2.453e-02, eta: 1 day, 14:34:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9681, loss_cls: 3.4766, loss: 3.4766 +2025-06-03 00:37:37,803 - pyskl - INFO - Epoch [14][300/2353] lr: 2.453e-02, eta: 1 day, 14:33:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7831, top5_acc: 0.9581, loss_cls: 3.6199, loss: 3.6199 +2025-06-03 00:38:20,982 - pyskl - INFO - Epoch [14][400/2353] lr: 2.453e-02, eta: 1 day, 14:32:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9637, loss_cls: 3.5744, loss: 3.5744 +2025-06-03 00:39:04,209 - pyskl - INFO - Epoch [14][500/2353] lr: 2.452e-02, eta: 1 day, 14:32:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9663, loss_cls: 3.4960, loss: 3.4960 +2025-06-03 00:39:47,530 - pyskl - INFO - Epoch [14][600/2353] lr: 2.452e-02, eta: 1 day, 14:31:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9600, loss_cls: 3.5724, loss: 3.5724 +2025-06-03 00:40:30,698 - pyskl - INFO - Epoch [14][700/2353] lr: 2.452e-02, eta: 1 day, 14:30:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7719, top5_acc: 0.9675, loss_cls: 3.5406, loss: 3.5406 +2025-06-03 00:41:14,001 - pyskl - INFO - Epoch [14][800/2353] lr: 2.452e-02, eta: 1 day, 14:30:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7750, top5_acc: 0.9681, loss_cls: 3.6310, loss: 3.6310 +2025-06-03 00:41:57,237 - pyskl - INFO - Epoch [14][900/2353] lr: 2.451e-02, eta: 1 day, 14:29:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9556, loss_cls: 3.6147, loss: 3.6147 +2025-06-03 00:42:40,422 - pyskl - INFO - Epoch [14][1000/2353] lr: 2.451e-02, eta: 1 day, 14:28:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7781, top5_acc: 0.9531, loss_cls: 3.5783, loss: 3.5783 +2025-06-03 00:43:23,542 - pyskl - INFO - Epoch [14][1100/2353] lr: 2.451e-02, eta: 1 day, 14:28:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9650, loss_cls: 3.5295, loss: 3.5295 +2025-06-03 00:44:06,845 - pyskl - INFO - Epoch [14][1200/2353] lr: 2.450e-02, eta: 1 day, 14:27:20, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7775, top5_acc: 0.9650, loss_cls: 3.5574, loss: 3.5574 +2025-06-03 00:44:50,013 - pyskl - INFO - Epoch [14][1300/2353] lr: 2.450e-02, eta: 1 day, 14:26:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7731, top5_acc: 0.9537, loss_cls: 3.6172, loss: 3.6172 +2025-06-03 00:45:33,170 - pyskl - INFO - Epoch [14][1400/2353] lr: 2.450e-02, eta: 1 day, 14:25:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9656, loss_cls: 3.5443, loss: 3.5443 +2025-06-03 00:46:16,298 - pyskl - INFO - Epoch [14][1500/2353] lr: 2.449e-02, eta: 1 day, 14:25:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9650, loss_cls: 3.4267, loss: 3.4267 +2025-06-03 00:46:59,409 - pyskl - INFO - Epoch [14][1600/2353] lr: 2.449e-02, eta: 1 day, 14:24:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9563, loss_cls: 3.5470, loss: 3.5470 +2025-06-03 00:47:42,489 - pyskl - INFO - Epoch [14][1700/2353] lr: 2.449e-02, eta: 1 day, 14:23:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7812, top5_acc: 0.9556, loss_cls: 3.4969, loss: 3.4969 +2025-06-03 00:48:25,615 - pyskl - INFO - Epoch [14][1800/2353] lr: 2.448e-02, eta: 1 day, 14:23:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9625, loss_cls: 3.6336, loss: 3.6336 +2025-06-03 00:49:08,765 - pyskl - INFO - Epoch [14][1900/2353] lr: 2.448e-02, eta: 1 day, 14:22:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9650, loss_cls: 3.4981, loss: 3.4981 +2025-06-03 00:49:51,915 - pyskl - INFO - Epoch [14][2000/2353] lr: 2.448e-02, eta: 1 day, 14:21:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9700, loss_cls: 3.5064, loss: 3.5064 +2025-06-03 00:50:35,233 - pyskl - INFO - Epoch [14][2100/2353] lr: 2.447e-02, eta: 1 day, 14:20:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9650, loss_cls: 3.4517, loss: 3.4517 +2025-06-03 00:51:18,389 - pyskl - INFO - Epoch [14][2200/2353] lr: 2.447e-02, eta: 1 day, 14:20:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7588, top5_acc: 0.9519, loss_cls: 3.6258, loss: 3.6258 +2025-06-03 00:52:01,461 - pyskl - INFO - Epoch [14][2300/2353] lr: 2.447e-02, eta: 1 day, 14:19:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9550, loss_cls: 3.6248, loss: 3.6248 +2025-06-03 00:52:24,912 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-06-03 00:53:50,518 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:53:50,593 - pyskl - INFO - +top1_acc 0.7236 +top5_acc 0.9527 +2025-06-03 00:53:50,596 - pyskl - INFO - Epoch(val) [14][1184] top1_acc: 0.7236, top5_acc: 0.9527 +2025-06-03 00:54:53,846 - pyskl - INFO - Epoch [15][100/2353] lr: 2.446e-02, eta: 1 day, 14:17:58, time: 0.632, data_time: 0.202, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9688, loss_cls: 3.4685, loss: 3.4685 +2025-06-03 00:55:36,889 - pyskl - INFO - Epoch [15][200/2353] lr: 2.446e-02, eta: 1 day, 14:17:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9650, loss_cls: 3.4871, loss: 3.4871 +2025-06-03 00:56:19,957 - pyskl - INFO - Epoch [15][300/2353] lr: 2.446e-02, eta: 1 day, 14:16:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7712, top5_acc: 0.9644, loss_cls: 3.6561, loss: 3.6561 +2025-06-03 00:57:03,017 - pyskl - INFO - Epoch [15][400/2353] lr: 2.445e-02, eta: 1 day, 14:15:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8063, top5_acc: 0.9700, loss_cls: 3.3760, loss: 3.3760 +2025-06-03 00:57:46,139 - pyskl - INFO - Epoch [15][500/2353] lr: 2.445e-02, eta: 1 day, 14:15:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9587, loss_cls: 3.5005, loss: 3.5005 +2025-06-03 00:58:29,450 - pyskl - INFO - Epoch [15][600/2353] lr: 2.445e-02, eta: 1 day, 14:14:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7781, top5_acc: 0.9613, loss_cls: 3.6317, loss: 3.6317 +2025-06-03 00:59:12,617 - pyskl - INFO - Epoch [15][700/2353] lr: 2.444e-02, eta: 1 day, 14:13:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9637, loss_cls: 3.4629, loss: 3.4629 +2025-06-03 00:59:55,752 - pyskl - INFO - Epoch [15][800/2353] lr: 2.444e-02, eta: 1 day, 14:12:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9625, loss_cls: 3.5100, loss: 3.5100 +2025-06-03 01:00:38,951 - pyskl - INFO - Epoch [15][900/2353] lr: 2.444e-02, eta: 1 day, 14:12:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9650, loss_cls: 3.4332, loss: 3.4332 +2025-06-03 01:01:22,111 - pyskl - INFO - Epoch [15][1000/2353] lr: 2.443e-02, eta: 1 day, 14:11:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9656, loss_cls: 3.4542, loss: 3.4542 +2025-06-03 01:02:05,204 - pyskl - INFO - Epoch [15][1100/2353] lr: 2.443e-02, eta: 1 day, 14:10:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9656, loss_cls: 3.3577, loss: 3.3577 +2025-06-03 01:02:48,323 - pyskl - INFO - Epoch [15][1200/2353] lr: 2.443e-02, eta: 1 day, 14:10:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9706, loss_cls: 3.3935, loss: 3.3935 +2025-06-03 01:03:31,453 - pyskl - INFO - Epoch [15][1300/2353] lr: 2.442e-02, eta: 1 day, 14:09:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9656, loss_cls: 3.5557, loss: 3.5557 +2025-06-03 01:04:14,635 - pyskl - INFO - Epoch [15][1400/2353] lr: 2.442e-02, eta: 1 day, 14:08:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9600, loss_cls: 3.4999, loss: 3.4999 +2025-06-03 01:04:57,805 - pyskl - INFO - Epoch [15][1500/2353] lr: 2.442e-02, eta: 1 day, 14:08:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7781, top5_acc: 0.9606, loss_cls: 3.5189, loss: 3.5189 +2025-06-03 01:05:40,877 - pyskl - INFO - Epoch [15][1600/2353] lr: 2.441e-02, eta: 1 day, 14:07:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9694, loss_cls: 3.3654, loss: 3.3654 +2025-06-03 01:06:23,988 - pyskl - INFO - Epoch [15][1700/2353] lr: 2.441e-02, eta: 1 day, 14:06:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9594, loss_cls: 3.5528, loss: 3.5528 +2025-06-03 01:07:07,022 - pyskl - INFO - Epoch [15][1800/2353] lr: 2.441e-02, eta: 1 day, 14:05:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7831, top5_acc: 0.9613, loss_cls: 3.4673, loss: 3.4673 +2025-06-03 01:07:50,225 - pyskl - INFO - Epoch [15][1900/2353] lr: 2.440e-02, eta: 1 day, 14:05:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9606, loss_cls: 3.5721, loss: 3.5721 +2025-06-03 01:08:33,216 - pyskl - INFO - Epoch [15][2000/2353] lr: 2.440e-02, eta: 1 day, 14:04:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7750, top5_acc: 0.9550, loss_cls: 3.6207, loss: 3.6207 +2025-06-03 01:09:16,226 - pyskl - INFO - Epoch [15][2100/2353] lr: 2.440e-02, eta: 1 day, 14:03:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9650, loss_cls: 3.4726, loss: 3.4726 +2025-06-03 01:09:59,218 - pyskl - INFO - Epoch [15][2200/2353] lr: 2.439e-02, eta: 1 day, 14:02:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9644, loss_cls: 3.5691, loss: 3.5691 +2025-06-03 01:10:42,242 - pyskl - INFO - Epoch [15][2300/2353] lr: 2.439e-02, eta: 1 day, 14:02:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9544, loss_cls: 3.4624, loss: 3.4624 +2025-06-03 01:11:05,591 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-06-03 01:20:17,205 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:20:17,281 - pyskl - INFO - +top1_acc 0.8245 +top5_acc 0.9845 +2025-06-03 01:20:17,284 - pyskl - INFO - Epoch(val) [15][1184] top1_acc: 0.8245, top5_acc: 0.9845 +2025-06-03 01:21:20,851 - pyskl - INFO - Epoch [16][100/2353] lr: 2.438e-02, eta: 1 day, 14:00:44, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9706, loss_cls: 3.4411, loss: 3.4411 +2025-06-03 01:22:03,877 - pyskl - INFO - Epoch [16][200/2353] lr: 2.438e-02, eta: 1 day, 14:00:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9619, loss_cls: 3.6212, loss: 3.6212 +2025-06-03 01:22:46,912 - pyskl - INFO - Epoch [16][300/2353] lr: 2.438e-02, eta: 1 day, 13:59:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9619, loss_cls: 3.5500, loss: 3.5500 +2025-06-03 01:23:29,974 - pyskl - INFO - Epoch [16][400/2353] lr: 2.437e-02, eta: 1 day, 13:58:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7913, top5_acc: 0.9644, loss_cls: 3.4024, loss: 3.4024 +2025-06-03 01:24:12,992 - pyskl - INFO - Epoch [16][500/2353] lr: 2.437e-02, eta: 1 day, 13:57:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9700, loss_cls: 3.5031, loss: 3.5031 +2025-06-03 01:24:56,245 - pyskl - INFO - Epoch [16][600/2353] lr: 2.437e-02, eta: 1 day, 13:57:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9619, loss_cls: 3.4672, loss: 3.4672 +2025-06-03 01:25:39,518 - pyskl - INFO - Epoch [16][700/2353] lr: 2.436e-02, eta: 1 day, 13:56:27, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7913, top5_acc: 0.9644, loss_cls: 3.5411, loss: 3.5411 +2025-06-03 01:26:23,008 - pyskl - INFO - Epoch [16][800/2353] lr: 2.436e-02, eta: 1 day, 13:55:47, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.7913, top5_acc: 0.9694, loss_cls: 3.4696, loss: 3.4696 +2025-06-03 01:27:06,097 - pyskl - INFO - Epoch [16][900/2353] lr: 2.436e-02, eta: 1 day, 13:55:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9644, loss_cls: 3.4603, loss: 3.4603 +2025-06-03 01:27:49,248 - pyskl - INFO - Epoch [16][1000/2353] lr: 2.435e-02, eta: 1 day, 13:54:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9700, loss_cls: 3.4359, loss: 3.4359 +2025-06-03 01:28:32,313 - pyskl - INFO - Epoch [16][1100/2353] lr: 2.435e-02, eta: 1 day, 13:53:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9569, loss_cls: 3.4756, loss: 3.4756 +2025-06-03 01:29:15,391 - pyskl - INFO - Epoch [16][1200/2353] lr: 2.435e-02, eta: 1 day, 13:52:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7775, top5_acc: 0.9581, loss_cls: 3.6081, loss: 3.6081 +2025-06-03 01:29:58,590 - pyskl - INFO - Epoch [16][1300/2353] lr: 2.434e-02, eta: 1 day, 13:52:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9525, loss_cls: 3.4517, loss: 3.4517 +2025-06-03 01:30:41,808 - pyskl - INFO - Epoch [16][1400/2353] lr: 2.434e-02, eta: 1 day, 13:51:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9563, loss_cls: 3.4704, loss: 3.4704 +2025-06-03 01:31:24,877 - pyskl - INFO - Epoch [16][1500/2353] lr: 2.434e-02, eta: 1 day, 13:50:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9669, loss_cls: 3.4979, loss: 3.4979 +2025-06-03 01:32:07,977 - pyskl - INFO - Epoch [16][1600/2353] lr: 2.433e-02, eta: 1 day, 13:50:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9675, loss_cls: 3.4254, loss: 3.4254 +2025-06-03 01:32:51,129 - pyskl - INFO - Epoch [16][1700/2353] lr: 2.433e-02, eta: 1 day, 13:49:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9650, loss_cls: 3.4011, loss: 3.4011 +2025-06-03 01:33:34,156 - pyskl - INFO - Epoch [16][1800/2353] lr: 2.432e-02, eta: 1 day, 13:48:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9631, loss_cls: 3.3624, loss: 3.3624 +2025-06-03 01:34:17,221 - pyskl - INFO - Epoch [16][1900/2353] lr: 2.432e-02, eta: 1 day, 13:47:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9656, loss_cls: 3.4976, loss: 3.4976 +2025-06-03 01:35:00,312 - pyskl - INFO - Epoch [16][2000/2353] lr: 2.432e-02, eta: 1 day, 13:47:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9681, loss_cls: 3.4182, loss: 3.4182 +2025-06-03 01:35:43,409 - pyskl - INFO - Epoch [16][2100/2353] lr: 2.431e-02, eta: 1 day, 13:46:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9712, loss_cls: 3.4563, loss: 3.4563 +2025-06-03 01:36:26,539 - pyskl - INFO - Epoch [16][2200/2353] lr: 2.431e-02, eta: 1 day, 13:45:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9631, loss_cls: 3.5185, loss: 3.5185 +2025-06-03 01:37:09,634 - pyskl - INFO - Epoch [16][2300/2353] lr: 2.431e-02, eta: 1 day, 13:45:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9700, loss_cls: 3.4555, loss: 3.4555 +2025-06-03 01:37:33,031 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-06-03 01:38:58,434 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:38:58,509 - pyskl - INFO - +top1_acc 0.8181 +top5_acc 0.9753 +2025-06-03 01:38:58,512 - pyskl - INFO - Epoch(val) [16][1184] top1_acc: 0.8181, top5_acc: 0.9753 +2025-06-03 01:40:01,838 - pyskl - INFO - Epoch [17][100/2353] lr: 2.430e-02, eta: 1 day, 13:43:35, time: 0.633, data_time: 0.201, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9631, loss_cls: 3.5140, loss: 3.5140 +2025-06-03 01:40:45,041 - pyskl - INFO - Epoch [17][200/2353] lr: 2.430e-02, eta: 1 day, 13:42:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9712, loss_cls: 3.5110, loss: 3.5110 +2025-06-03 01:41:28,226 - pyskl - INFO - Epoch [17][300/2353] lr: 2.429e-02, eta: 1 day, 13:42:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7819, top5_acc: 0.9637, loss_cls: 3.4983, loss: 3.4983 +2025-06-03 01:42:11,361 - pyskl - INFO - Epoch [17][400/2353] lr: 2.429e-02, eta: 1 day, 13:41:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9706, loss_cls: 3.4755, loss: 3.4755 +2025-06-03 01:42:54,507 - pyskl - INFO - Epoch [17][500/2353] lr: 2.429e-02, eta: 1 day, 13:40:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9644, loss_cls: 3.3297, loss: 3.3297 +2025-06-03 01:43:37,756 - pyskl - INFO - Epoch [17][600/2353] lr: 2.428e-02, eta: 1 day, 13:40:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9631, loss_cls: 3.4637, loss: 3.4637 +2025-06-03 01:44:20,929 - pyskl - INFO - Epoch [17][700/2353] lr: 2.428e-02, eta: 1 day, 13:39:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7775, top5_acc: 0.9606, loss_cls: 3.5379, loss: 3.5379 +2025-06-03 01:45:04,071 - pyskl - INFO - Epoch [17][800/2353] lr: 2.428e-02, eta: 1 day, 13:38:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9706, loss_cls: 3.4632, loss: 3.4632 +2025-06-03 01:45:47,188 - pyskl - INFO - Epoch [17][900/2353] lr: 2.427e-02, eta: 1 day, 13:37:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9744, loss_cls: 3.2859, loss: 3.2859 +2025-06-03 01:46:30,214 - pyskl - INFO - Epoch [17][1000/2353] lr: 2.427e-02, eta: 1 day, 13:37:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9694, loss_cls: 3.3390, loss: 3.3390 +2025-06-03 01:47:13,326 - pyskl - INFO - Epoch [17][1100/2353] lr: 2.426e-02, eta: 1 day, 13:36:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9637, loss_cls: 3.4260, loss: 3.4260 +2025-06-03 01:47:56,515 - pyskl - INFO - Epoch [17][1200/2353] lr: 2.426e-02, eta: 1 day, 13:35:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7775, top5_acc: 0.9631, loss_cls: 3.6060, loss: 3.6060 +2025-06-03 01:48:39,561 - pyskl - INFO - Epoch [17][1300/2353] lr: 2.426e-02, eta: 1 day, 13:35:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9669, loss_cls: 3.4242, loss: 3.4242 +2025-06-03 01:49:22,621 - pyskl - INFO - Epoch [17][1400/2353] lr: 2.425e-02, eta: 1 day, 13:34:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9563, loss_cls: 3.4915, loss: 3.4915 +2025-06-03 01:50:05,695 - pyskl - INFO - Epoch [17][1500/2353] lr: 2.425e-02, eta: 1 day, 13:33:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9619, loss_cls: 3.4405, loss: 3.4405 +2025-06-03 01:50:48,769 - pyskl - INFO - Epoch [17][1600/2353] lr: 2.425e-02, eta: 1 day, 13:32:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9669, loss_cls: 3.4007, loss: 3.4007 +2025-06-03 01:51:31,844 - pyskl - INFO - Epoch [17][1700/2353] lr: 2.424e-02, eta: 1 day, 13:32:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9656, loss_cls: 3.5090, loss: 3.5090 +2025-06-03 01:52:14,854 - pyskl - INFO - Epoch [17][1800/2353] lr: 2.424e-02, eta: 1 day, 13:31:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9725, loss_cls: 3.3429, loss: 3.3429 +2025-06-03 01:52:57,903 - pyskl - INFO - Epoch [17][1900/2353] lr: 2.423e-02, eta: 1 day, 13:30:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7725, top5_acc: 0.9681, loss_cls: 3.5483, loss: 3.5483 +2025-06-03 01:53:40,957 - pyskl - INFO - Epoch [17][2000/2353] lr: 2.423e-02, eta: 1 day, 13:29:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9681, loss_cls: 3.5107, loss: 3.5107 +2025-06-03 01:54:24,014 - pyskl - INFO - Epoch [17][2100/2353] lr: 2.423e-02, eta: 1 day, 13:29:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9694, loss_cls: 3.2976, loss: 3.2976 +2025-06-03 01:55:07,142 - pyskl - INFO - Epoch [17][2200/2353] lr: 2.422e-02, eta: 1 day, 13:28:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9731, loss_cls: 3.4367, loss: 3.4367 +2025-06-03 01:55:50,254 - pyskl - INFO - Epoch [17][2300/2353] lr: 2.422e-02, eta: 1 day, 13:27:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9619, loss_cls: 3.4865, loss: 3.4865 +2025-06-03 01:56:13,663 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-06-03 01:57:39,141 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:57:39,215 - pyskl - INFO - +top1_acc 0.8461 +top5_acc 0.9830 +2025-06-03 01:57:39,268 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_12.pth was removed +2025-06-03 01:57:40,279 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. +2025-06-03 01:57:40,280 - pyskl - INFO - Best top1_acc is 0.8461 at 17 epoch. +2025-06-03 01:57:40,282 - pyskl - INFO - Epoch(val) [17][1184] top1_acc: 0.8461, top5_acc: 0.9830 +2025-06-03 01:58:43,765 - pyskl - INFO - Epoch [18][100/2353] lr: 2.421e-02, eta: 1 day, 13:26:25, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9663, loss_cls: 3.4831, loss: 3.4831 +2025-06-03 01:59:26,886 - pyskl - INFO - Epoch [18][200/2353] lr: 2.421e-02, eta: 1 day, 13:25:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9663, loss_cls: 3.4047, loss: 3.4047 +2025-06-03 02:00:10,066 - pyskl - INFO - Epoch [18][300/2353] lr: 2.420e-02, eta: 1 day, 13:25:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9669, loss_cls: 3.4378, loss: 3.4378 +2025-06-03 02:00:53,274 - pyskl - INFO - Epoch [18][400/2353] lr: 2.420e-02, eta: 1 day, 13:24:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9650, loss_cls: 3.4375, loss: 3.4375 +2025-06-03 02:01:36,417 - pyskl - INFO - Epoch [18][500/2353] lr: 2.420e-02, eta: 1 day, 13:23:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9725, loss_cls: 3.3319, loss: 3.3319 +2025-06-03 02:02:19,607 - pyskl - INFO - Epoch [18][600/2353] lr: 2.419e-02, eta: 1 day, 13:22:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9587, loss_cls: 3.4622, loss: 3.4622 +2025-06-03 02:03:02,854 - pyskl - INFO - Epoch [18][700/2353] lr: 2.419e-02, eta: 1 day, 13:22:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9663, loss_cls: 3.4502, loss: 3.4502 +2025-06-03 02:03:45,987 - pyskl - INFO - Epoch [18][800/2353] lr: 2.418e-02, eta: 1 day, 13:21:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9619, loss_cls: 3.4620, loss: 3.4620 +2025-06-03 02:04:29,110 - pyskl - INFO - Epoch [18][900/2353] lr: 2.418e-02, eta: 1 day, 13:20:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9700, loss_cls: 3.3963, loss: 3.3963 +2025-06-03 02:05:12,258 - pyskl - INFO - Epoch [18][1000/2353] lr: 2.418e-02, eta: 1 day, 13:20:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9625, loss_cls: 3.4484, loss: 3.4484 +2025-06-03 02:05:55,358 - pyskl - INFO - Epoch [18][1100/2353] lr: 2.417e-02, eta: 1 day, 13:19:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9656, loss_cls: 3.5047, loss: 3.5047 +2025-06-03 02:06:38,517 - pyskl - INFO - Epoch [18][1200/2353] lr: 2.417e-02, eta: 1 day, 13:18:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9688, loss_cls: 3.4107, loss: 3.4107 +2025-06-03 02:07:21,594 - pyskl - INFO - Epoch [18][1300/2353] lr: 2.416e-02, eta: 1 day, 13:17:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9675, loss_cls: 3.4567, loss: 3.4567 +2025-06-03 02:08:04,651 - pyskl - INFO - Epoch [18][1400/2353] lr: 2.416e-02, eta: 1 day, 13:17:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9750, loss_cls: 3.4497, loss: 3.4497 +2025-06-03 02:08:47,717 - pyskl - INFO - Epoch [18][1500/2353] lr: 2.416e-02, eta: 1 day, 13:16:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9637, loss_cls: 3.4671, loss: 3.4671 +2025-06-03 02:09:30,667 - pyskl - INFO - Epoch [18][1600/2353] lr: 2.415e-02, eta: 1 day, 13:15:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9650, loss_cls: 3.4159, loss: 3.4159 +2025-06-03 02:10:13,687 - pyskl - INFO - Epoch [18][1700/2353] lr: 2.415e-02, eta: 1 day, 13:15:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9650, loss_cls: 3.4590, loss: 3.4590 +2025-06-03 02:10:56,756 - pyskl - INFO - Epoch [18][1800/2353] lr: 2.414e-02, eta: 1 day, 13:14:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9712, loss_cls: 3.3787, loss: 3.3787 +2025-06-03 02:11:39,837 - pyskl - INFO - Epoch [18][1900/2353] lr: 2.414e-02, eta: 1 day, 13:13:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9650, loss_cls: 3.3771, loss: 3.3771 +2025-06-03 02:12:22,909 - pyskl - INFO - Epoch [18][2000/2353] lr: 2.414e-02, eta: 1 day, 13:12:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9681, loss_cls: 3.4294, loss: 3.4294 +2025-06-03 02:13:06,008 - pyskl - INFO - Epoch [18][2100/2353] lr: 2.413e-02, eta: 1 day, 13:12:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9594, loss_cls: 3.3984, loss: 3.3984 +2025-06-03 02:13:49,105 - pyskl - INFO - Epoch [18][2200/2353] lr: 2.413e-02, eta: 1 day, 13:11:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9613, loss_cls: 3.3865, loss: 3.3865 +2025-06-03 02:14:32,234 - pyskl - INFO - Epoch [18][2300/2353] lr: 2.412e-02, eta: 1 day, 13:10:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9719, loss_cls: 3.2383, loss: 3.2383 +2025-06-03 02:14:55,642 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-06-03 02:16:21,094 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:16:21,169 - pyskl - INFO - +top1_acc 0.8536 +top5_acc 0.9838 +2025-06-03 02:16:21,221 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_17.pth was removed +2025-06-03 02:16:22,219 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-06-03 02:16:22,220 - pyskl - INFO - Best top1_acc is 0.8536 at 18 epoch. +2025-06-03 02:16:22,223 - pyskl - INFO - Epoch(val) [18][1184] top1_acc: 0.8536, top5_acc: 0.9838 +2025-06-03 02:17:26,040 - pyskl - INFO - Epoch [19][100/2353] lr: 2.412e-02, eta: 1 day, 13:09:21, time: 0.638, data_time: 0.208, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9694, loss_cls: 3.2786, loss: 3.2786 +2025-06-03 02:18:09,068 - pyskl - INFO - Epoch [19][200/2353] lr: 2.411e-02, eta: 1 day, 13:08:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9644, loss_cls: 3.4159, loss: 3.4159 +2025-06-03 02:18:52,131 - pyskl - INFO - Epoch [19][300/2353] lr: 2.411e-02, eta: 1 day, 13:07:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9644, loss_cls: 3.4830, loss: 3.4830 +2025-06-03 02:19:35,235 - pyskl - INFO - Epoch [19][400/2353] lr: 2.411e-02, eta: 1 day, 13:07:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9644, loss_cls: 3.5223, loss: 3.5223 +2025-06-03 02:20:18,197 - pyskl - INFO - Epoch [19][500/2353] lr: 2.410e-02, eta: 1 day, 13:06:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9762, loss_cls: 3.4106, loss: 3.4106 +2025-06-03 02:21:01,292 - pyskl - INFO - Epoch [19][600/2353] lr: 2.410e-02, eta: 1 day, 13:05:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9694, loss_cls: 3.4692, loss: 3.4692 +2025-06-03 02:21:44,530 - pyskl - INFO - Epoch [19][700/2353] lr: 2.409e-02, eta: 1 day, 13:05:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9769, loss_cls: 3.3460, loss: 3.3460 +2025-06-03 02:22:27,737 - pyskl - INFO - Epoch [19][800/2353] lr: 2.409e-02, eta: 1 day, 13:04:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9613, loss_cls: 3.4677, loss: 3.4677 +2025-06-03 02:23:10,815 - pyskl - INFO - Epoch [19][900/2353] lr: 2.409e-02, eta: 1 day, 13:03:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9700, loss_cls: 3.3285, loss: 3.3285 +2025-06-03 02:23:54,003 - pyskl - INFO - Epoch [19][1000/2353] lr: 2.408e-02, eta: 1 day, 13:02:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9637, loss_cls: 3.4044, loss: 3.4044 +2025-06-03 02:24:37,150 - pyskl - INFO - Epoch [19][1100/2353] lr: 2.408e-02, eta: 1 day, 13:02:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9637, loss_cls: 3.4099, loss: 3.4099 +2025-06-03 02:25:20,377 - pyskl - INFO - Epoch [19][1200/2353] lr: 2.407e-02, eta: 1 day, 13:01:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9681, loss_cls: 3.3833, loss: 3.3833 +2025-06-03 02:26:03,434 - pyskl - INFO - Epoch [19][1300/2353] lr: 2.407e-02, eta: 1 day, 13:00:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9656, loss_cls: 3.3832, loss: 3.3832 +2025-06-03 02:26:46,512 - pyskl - INFO - Epoch [19][1400/2353] lr: 2.406e-02, eta: 1 day, 13:00:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9650, loss_cls: 3.3839, loss: 3.3839 +2025-06-03 02:27:29,570 - pyskl - INFO - Epoch [19][1500/2353] lr: 2.406e-02, eta: 1 day, 12:59:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9675, loss_cls: 3.3626, loss: 3.3626 +2025-06-03 02:28:12,623 - pyskl - INFO - Epoch [19][1600/2353] lr: 2.406e-02, eta: 1 day, 12:58:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9656, loss_cls: 3.3816, loss: 3.3816 +2025-06-03 02:28:55,645 - pyskl - INFO - Epoch [19][1700/2353] lr: 2.405e-02, eta: 1 day, 12:57:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9688, loss_cls: 3.3656, loss: 3.3656 +2025-06-03 02:29:38,690 - pyskl - INFO - Epoch [19][1800/2353] lr: 2.405e-02, eta: 1 day, 12:57:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7781, top5_acc: 0.9600, loss_cls: 3.5592, loss: 3.5592 +2025-06-03 02:30:21,761 - pyskl - INFO - Epoch [19][1900/2353] lr: 2.404e-02, eta: 1 day, 12:56:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7688, top5_acc: 0.9631, loss_cls: 3.5031, loss: 3.5031 +2025-06-03 02:31:04,810 - pyskl - INFO - Epoch [19][2000/2353] lr: 2.404e-02, eta: 1 day, 12:55:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9650, loss_cls: 3.3769, loss: 3.3769 +2025-06-03 02:31:47,884 - pyskl - INFO - Epoch [19][2100/2353] lr: 2.403e-02, eta: 1 day, 12:55:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9650, loss_cls: 3.3209, loss: 3.3209 +2025-06-03 02:32:31,051 - pyskl - INFO - Epoch [19][2200/2353] lr: 2.403e-02, eta: 1 day, 12:54:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9556, loss_cls: 3.4179, loss: 3.4179 +2025-06-03 02:33:14,172 - pyskl - INFO - Epoch [19][2300/2353] lr: 2.403e-02, eta: 1 day, 12:53:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9656, loss_cls: 3.3654, loss: 3.3654 +2025-06-03 02:33:37,786 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-06-03 02:35:03,157 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:35:03,231 - pyskl - INFO - +top1_acc 0.8449 +top5_acc 0.9853 +2025-06-03 02:35:03,234 - pyskl - INFO - Epoch(val) [19][1184] top1_acc: 0.8449, top5_acc: 0.9853 +2025-06-03 02:36:06,651 - pyskl - INFO - Epoch [20][100/2353] lr: 2.402e-02, eta: 1 day, 12:52:12, time: 0.634, data_time: 0.205, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9712, loss_cls: 3.4241, loss: 3.4241 +2025-06-03 02:36:49,741 - pyskl - INFO - Epoch [20][200/2353] lr: 2.401e-02, eta: 1 day, 12:51:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9719, loss_cls: 3.3866, loss: 3.3866 +2025-06-03 02:37:33,006 - pyskl - INFO - Epoch [20][300/2353] lr: 2.401e-02, eta: 1 day, 12:50:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9731, loss_cls: 3.2884, loss: 3.2884 +2025-06-03 02:38:16,109 - pyskl - INFO - Epoch [20][400/2353] lr: 2.401e-02, eta: 1 day, 12:50:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9663, loss_cls: 3.3449, loss: 3.3449 +2025-06-03 02:38:59,270 - pyskl - INFO - Epoch [20][500/2353] lr: 2.400e-02, eta: 1 day, 12:49:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9756, loss_cls: 3.2774, loss: 3.2774 +2025-06-03 02:39:42,467 - pyskl - INFO - Epoch [20][600/2353] lr: 2.400e-02, eta: 1 day, 12:48:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9650, loss_cls: 3.4512, loss: 3.4512 +2025-06-03 02:40:25,754 - pyskl - INFO - Epoch [20][700/2353] lr: 2.399e-02, eta: 1 day, 12:47:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9644, loss_cls: 3.2927, loss: 3.2927 +2025-06-03 02:41:08,999 - pyskl - INFO - Epoch [20][800/2353] lr: 2.399e-02, eta: 1 day, 12:47:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9738, loss_cls: 3.3056, loss: 3.3056 +2025-06-03 02:41:52,156 - pyskl - INFO - Epoch [20][900/2353] lr: 2.398e-02, eta: 1 day, 12:46:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9575, loss_cls: 3.4844, loss: 3.4844 +2025-06-03 02:42:35,377 - pyskl - INFO - Epoch [20][1000/2353] lr: 2.398e-02, eta: 1 day, 12:45:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9656, loss_cls: 3.4333, loss: 3.4333 +2025-06-03 02:43:18,482 - pyskl - INFO - Epoch [20][1100/2353] lr: 2.398e-02, eta: 1 day, 12:45:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9694, loss_cls: 3.3827, loss: 3.3827 +2025-06-03 02:44:01,661 - pyskl - INFO - Epoch [20][1200/2353] lr: 2.397e-02, eta: 1 day, 12:44:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9700, loss_cls: 3.3367, loss: 3.3367 +2025-06-03 02:44:44,797 - pyskl - INFO - Epoch [20][1300/2353] lr: 2.397e-02, eta: 1 day, 12:43:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9725, loss_cls: 3.3805, loss: 3.3805 +2025-06-03 02:45:27,967 - pyskl - INFO - Epoch [20][1400/2353] lr: 2.396e-02, eta: 1 day, 12:43:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9706, loss_cls: 3.4164, loss: 3.4164 +2025-06-03 02:46:11,110 - pyskl - INFO - Epoch [20][1500/2353] lr: 2.396e-02, eta: 1 day, 12:42:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8063, top5_acc: 0.9712, loss_cls: 3.3814, loss: 3.3814 +2025-06-03 02:46:54,221 - pyskl - INFO - Epoch [20][1600/2353] lr: 2.395e-02, eta: 1 day, 12:41:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9725, loss_cls: 3.3335, loss: 3.3335 +2025-06-03 02:47:37,356 - pyskl - INFO - Epoch [20][1700/2353] lr: 2.395e-02, eta: 1 day, 12:40:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9675, loss_cls: 3.3743, loss: 3.3743 +2025-06-03 02:48:20,459 - pyskl - INFO - Epoch [20][1800/2353] lr: 2.394e-02, eta: 1 day, 12:40:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9731, loss_cls: 3.3762, loss: 3.3762 +2025-06-03 02:49:03,533 - pyskl - INFO - Epoch [20][1900/2353] lr: 2.394e-02, eta: 1 day, 12:39:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9694, loss_cls: 3.3124, loss: 3.3124 +2025-06-03 02:49:46,723 - pyskl - INFO - Epoch [20][2000/2353] lr: 2.394e-02, eta: 1 day, 12:38:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9625, loss_cls: 3.3269, loss: 3.3269 +2025-06-03 02:50:29,818 - pyskl - INFO - Epoch [20][2100/2353] lr: 2.393e-02, eta: 1 day, 12:38:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9594, loss_cls: 3.4378, loss: 3.4378 +2025-06-03 02:51:13,025 - pyskl - INFO - Epoch [20][2200/2353] lr: 2.393e-02, eta: 1 day, 12:37:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9656, loss_cls: 3.2746, loss: 3.2746 +2025-06-03 02:51:56,157 - pyskl - INFO - Epoch [20][2300/2353] lr: 2.392e-02, eta: 1 day, 12:36:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9663, loss_cls: 3.4799, loss: 3.4799 +2025-06-03 02:52:19,512 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-06-03 03:01:28,841 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:01:28,917 - pyskl - INFO - +top1_acc 0.8475 +top5_acc 0.9878 +2025-06-03 03:01:28,920 - pyskl - INFO - Epoch(val) [20][1184] top1_acc: 0.8475, top5_acc: 0.9878 +2025-06-03 03:02:32,590 - pyskl - INFO - Epoch [21][100/2353] lr: 2.391e-02, eta: 1 day, 12:35:16, time: 0.637, data_time: 0.205, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9700, loss_cls: 3.3369, loss: 3.3369 +2025-06-03 03:03:15,698 - pyskl - INFO - Epoch [21][200/2353] lr: 2.391e-02, eta: 1 day, 12:34:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9731, loss_cls: 3.2999, loss: 3.2999 +2025-06-03 03:03:58,732 - pyskl - INFO - Epoch [21][300/2353] lr: 2.391e-02, eta: 1 day, 12:33:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9731, loss_cls: 3.2806, loss: 3.2806 +2025-06-03 03:04:41,857 - pyskl - INFO - Epoch [21][400/2353] lr: 2.390e-02, eta: 1 day, 12:33:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9644, loss_cls: 3.4484, loss: 3.4484 +2025-06-03 03:05:25,108 - pyskl - INFO - Epoch [21][500/2353] lr: 2.390e-02, eta: 1 day, 12:32:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9644, loss_cls: 3.4076, loss: 3.4076 +2025-06-03 03:06:08,166 - pyskl - INFO - Epoch [21][600/2353] lr: 2.389e-02, eta: 1 day, 12:31:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9712, loss_cls: 3.3492, loss: 3.3492 +2025-06-03 03:06:51,551 - pyskl - INFO - Epoch [21][700/2353] lr: 2.389e-02, eta: 1 day, 12:31:01, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9675, loss_cls: 3.4095, loss: 3.4095 +2025-06-03 03:07:34,965 - pyskl - INFO - Epoch [21][800/2353] lr: 2.388e-02, eta: 1 day, 12:30:20, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9731, loss_cls: 3.2492, loss: 3.2492 +2025-06-03 03:08:18,212 - pyskl - INFO - Epoch [21][900/2353] lr: 2.388e-02, eta: 1 day, 12:29:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9725, loss_cls: 3.2442, loss: 3.2442 +2025-06-03 03:09:01,222 - pyskl - INFO - Epoch [21][1000/2353] lr: 2.387e-02, eta: 1 day, 12:28:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9663, loss_cls: 3.3503, loss: 3.3503 +2025-06-03 03:09:44,277 - pyskl - INFO - Epoch [21][1100/2353] lr: 2.387e-02, eta: 1 day, 12:28:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9756, loss_cls: 3.2811, loss: 3.2811 +2025-06-03 03:10:27,331 - pyskl - INFO - Epoch [21][1200/2353] lr: 2.386e-02, eta: 1 day, 12:27:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9613, loss_cls: 3.3784, loss: 3.3784 +2025-06-03 03:11:10,394 - pyskl - INFO - Epoch [21][1300/2353] lr: 2.386e-02, eta: 1 day, 12:26:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9706, loss_cls: 3.2646, loss: 3.2646 +2025-06-03 03:11:53,504 - pyskl - INFO - Epoch [21][1400/2353] lr: 2.386e-02, eta: 1 day, 12:26:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9594, loss_cls: 3.2394, loss: 3.2394 +2025-06-03 03:12:36,574 - pyskl - INFO - Epoch [21][1500/2353] lr: 2.385e-02, eta: 1 day, 12:25:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9756, loss_cls: 3.3491, loss: 3.3491 +2025-06-03 03:13:19,650 - pyskl - INFO - Epoch [21][1600/2353] lr: 2.385e-02, eta: 1 day, 12:24:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9706, loss_cls: 3.3790, loss: 3.3790 +2025-06-03 03:14:02,718 - pyskl - INFO - Epoch [21][1700/2353] lr: 2.384e-02, eta: 1 day, 12:23:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9681, loss_cls: 3.3564, loss: 3.3564 +2025-06-03 03:14:45,849 - pyskl - INFO - Epoch [21][1800/2353] lr: 2.384e-02, eta: 1 day, 12:23:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9694, loss_cls: 3.3312, loss: 3.3312 +2025-06-03 03:15:28,981 - pyskl - INFO - Epoch [21][1900/2353] lr: 2.383e-02, eta: 1 day, 12:22:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9619, loss_cls: 3.3637, loss: 3.3637 +2025-06-03 03:16:12,083 - pyskl - INFO - Epoch [21][2000/2353] lr: 2.383e-02, eta: 1 day, 12:21:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9631, loss_cls: 3.2986, loss: 3.2986 +2025-06-03 03:16:55,218 - pyskl - INFO - Epoch [21][2100/2353] lr: 2.382e-02, eta: 1 day, 12:21:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9619, loss_cls: 3.3101, loss: 3.3101 +2025-06-03 03:17:38,301 - pyskl - INFO - Epoch [21][2200/2353] lr: 2.382e-02, eta: 1 day, 12:20:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9700, loss_cls: 3.3900, loss: 3.3900 +2025-06-03 03:18:21,388 - pyskl - INFO - Epoch [21][2300/2353] lr: 2.381e-02, eta: 1 day, 12:19:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7831, top5_acc: 0.9606, loss_cls: 3.4629, loss: 3.4629 +2025-06-03 03:18:44,749 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-06-03 03:20:10,638 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:20:10,717 - pyskl - INFO - +top1_acc 0.8552 +top5_acc 0.9837 +2025-06-03 03:20:10,775 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_18.pth was removed +2025-06-03 03:20:11,836 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. +2025-06-03 03:20:11,837 - pyskl - INFO - Best top1_acc is 0.8552 at 21 epoch. +2025-06-03 03:20:11,840 - pyskl - INFO - Epoch(val) [21][1184] top1_acc: 0.8552, top5_acc: 0.9837 +2025-06-03 03:21:15,141 - pyskl - INFO - Epoch [22][100/2353] lr: 2.381e-02, eta: 1 day, 12:18:14, time: 0.633, data_time: 0.203, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9700, loss_cls: 3.3602, loss: 3.3602 +2025-06-03 03:21:58,185 - pyskl - INFO - Epoch [22][200/2353] lr: 2.380e-02, eta: 1 day, 12:17:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9675, loss_cls: 3.2332, loss: 3.2332 +2025-06-03 03:22:41,266 - pyskl - INFO - Epoch [22][300/2353] lr: 2.380e-02, eta: 1 day, 12:16:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9688, loss_cls: 3.3334, loss: 3.3334 +2025-06-03 03:23:24,349 - pyskl - INFO - Epoch [22][400/2353] lr: 2.379e-02, eta: 1 day, 12:16:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9663, loss_cls: 3.2937, loss: 3.2937 +2025-06-03 03:24:07,398 - pyskl - INFO - Epoch [22][500/2353] lr: 2.379e-02, eta: 1 day, 12:15:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9700, loss_cls: 3.2362, loss: 3.2362 +2025-06-03 03:24:50,574 - pyskl - INFO - Epoch [22][600/2353] lr: 2.378e-02, eta: 1 day, 12:14:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9606, loss_cls: 3.3537, loss: 3.3537 +2025-06-03 03:25:33,645 - pyskl - INFO - Epoch [22][700/2353] lr: 2.378e-02, eta: 1 day, 12:13:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9725, loss_cls: 3.3333, loss: 3.3333 +2025-06-03 03:26:16,865 - pyskl - INFO - Epoch [22][800/2353] lr: 2.377e-02, eta: 1 day, 12:13:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9656, loss_cls: 3.4213, loss: 3.4213 +2025-06-03 03:27:00,093 - pyskl - INFO - Epoch [22][900/2353] lr: 2.377e-02, eta: 1 day, 12:12:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9675, loss_cls: 3.4053, loss: 3.4053 +2025-06-03 03:27:43,261 - pyskl - INFO - Epoch [22][1000/2353] lr: 2.376e-02, eta: 1 day, 12:11:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9725, loss_cls: 3.3540, loss: 3.3540 +2025-06-03 03:28:26,366 - pyskl - INFO - Epoch [22][1100/2353] lr: 2.376e-02, eta: 1 day, 12:11:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9744, loss_cls: 3.3078, loss: 3.3078 +2025-06-03 03:29:09,420 - pyskl - INFO - Epoch [22][1200/2353] lr: 2.375e-02, eta: 1 day, 12:10:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9669, loss_cls: 3.2896, loss: 3.2896 +2025-06-03 03:29:52,561 - pyskl - INFO - Epoch [22][1300/2353] lr: 2.375e-02, eta: 1 day, 12:09:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9644, loss_cls: 3.2548, loss: 3.2548 +2025-06-03 03:30:35,728 - pyskl - INFO - Epoch [22][1400/2353] lr: 2.374e-02, eta: 1 day, 12:08:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9606, loss_cls: 3.3716, loss: 3.3716 +2025-06-03 03:31:18,871 - pyskl - INFO - Epoch [22][1500/2353] lr: 2.374e-02, eta: 1 day, 12:08:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9775, loss_cls: 3.2607, loss: 3.2607 +2025-06-03 03:32:01,992 - pyskl - INFO - Epoch [22][1600/2353] lr: 2.373e-02, eta: 1 day, 12:07:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9663, loss_cls: 3.2226, loss: 3.2226 +2025-06-03 03:32:45,069 - pyskl - INFO - Epoch [22][1700/2353] lr: 2.373e-02, eta: 1 day, 12:06:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9694, loss_cls: 3.3271, loss: 3.3271 +2025-06-03 03:33:28,120 - pyskl - INFO - Epoch [22][1800/2353] lr: 2.372e-02, eta: 1 day, 12:06:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9731, loss_cls: 3.3229, loss: 3.3229 +2025-06-03 03:34:11,216 - pyskl - INFO - Epoch [22][1900/2353] lr: 2.372e-02, eta: 1 day, 12:05:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9625, loss_cls: 3.3513, loss: 3.3513 +2025-06-03 03:34:54,306 - pyskl - INFO - Epoch [22][2000/2353] lr: 2.371e-02, eta: 1 day, 12:04:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9769, loss_cls: 3.3107, loss: 3.3107 +2025-06-03 03:35:37,356 - pyskl - INFO - Epoch [22][2100/2353] lr: 2.371e-02, eta: 1 day, 12:03:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9669, loss_cls: 3.3220, loss: 3.3220 +2025-06-03 03:36:20,453 - pyskl - INFO - Epoch [22][2200/2353] lr: 2.370e-02, eta: 1 day, 12:03:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9750, loss_cls: 3.2980, loss: 3.2980 +2025-06-03 03:37:03,550 - pyskl - INFO - Epoch [22][2300/2353] lr: 2.370e-02, eta: 1 day, 12:02:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9669, loss_cls: 3.3460, loss: 3.3460 +2025-06-03 03:37:26,941 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-06-03 03:38:52,580 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:38:52,655 - pyskl - INFO - +top1_acc 0.8378 +top5_acc 0.9832 +2025-06-03 03:38:52,658 - pyskl - INFO - Epoch(val) [22][1184] top1_acc: 0.8378, top5_acc: 0.9832 +2025-06-03 03:39:56,253 - pyskl - INFO - Epoch [23][100/2353] lr: 2.369e-02, eta: 1 day, 12:01:12, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9675, loss_cls: 3.3064, loss: 3.3064 +2025-06-03 03:40:39,347 - pyskl - INFO - Epoch [23][200/2353] lr: 2.369e-02, eta: 1 day, 12:00:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9656, loss_cls: 3.3810, loss: 3.3810 +2025-06-03 03:41:22,524 - pyskl - INFO - Epoch [23][300/2353] lr: 2.368e-02, eta: 1 day, 11:59:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9656, loss_cls: 3.3480, loss: 3.3480 +2025-06-03 03:42:05,640 - pyskl - INFO - Epoch [23][400/2353] lr: 2.368e-02, eta: 1 day, 11:59:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9694, loss_cls: 3.1878, loss: 3.1878 +2025-06-03 03:42:48,673 - pyskl - INFO - Epoch [23][500/2353] lr: 2.367e-02, eta: 1 day, 11:58:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9688, loss_cls: 3.2358, loss: 3.2358 +2025-06-03 03:43:31,875 - pyskl - INFO - Epoch [23][600/2353] lr: 2.367e-02, eta: 1 day, 11:57:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9712, loss_cls: 3.2980, loss: 3.2980 +2025-06-03 03:44:15,183 - pyskl - INFO - Epoch [23][700/2353] lr: 2.366e-02, eta: 1 day, 11:56:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9744, loss_cls: 3.2055, loss: 3.2055 +2025-06-03 03:44:58,573 - pyskl - INFO - Epoch [23][800/2353] lr: 2.366e-02, eta: 1 day, 11:56:15, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9700, loss_cls: 3.2246, loss: 3.2246 +2025-06-03 03:45:41,823 - pyskl - INFO - Epoch [23][900/2353] lr: 2.365e-02, eta: 1 day, 11:55:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9719, loss_cls: 3.3910, loss: 3.3910 +2025-06-03 03:46:24,988 - pyskl - INFO - Epoch [23][1000/2353] lr: 2.365e-02, eta: 1 day, 11:54:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9637, loss_cls: 3.2638, loss: 3.2638 +2025-06-03 03:47:08,282 - pyskl - INFO - Epoch [23][1100/2353] lr: 2.364e-02, eta: 1 day, 11:54:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9794, loss_cls: 3.1465, loss: 3.1465 +2025-06-03 03:47:51,411 - pyskl - INFO - Epoch [23][1200/2353] lr: 2.364e-02, eta: 1 day, 11:53:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9688, loss_cls: 3.2494, loss: 3.2494 +2025-06-03 03:48:34,544 - pyskl - INFO - Epoch [23][1300/2353] lr: 2.363e-02, eta: 1 day, 11:52:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9681, loss_cls: 3.2594, loss: 3.2594 +2025-06-03 03:49:17,726 - pyskl - INFO - Epoch [23][1400/2353] lr: 2.363e-02, eta: 1 day, 11:52:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7831, top5_acc: 0.9600, loss_cls: 3.4334, loss: 3.4334 +2025-06-03 03:50:00,854 - pyskl - INFO - Epoch [23][1500/2353] lr: 2.362e-02, eta: 1 day, 11:51:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9669, loss_cls: 3.3399, loss: 3.3399 +2025-06-03 03:50:43,977 - pyskl - INFO - Epoch [23][1600/2353] lr: 2.362e-02, eta: 1 day, 11:50:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9700, loss_cls: 3.2962, loss: 3.2962 +2025-06-03 03:51:27,158 - pyskl - INFO - Epoch [23][1700/2353] lr: 2.361e-02, eta: 1 day, 11:49:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9706, loss_cls: 3.3133, loss: 3.3133 +2025-06-03 03:52:10,308 - pyskl - INFO - Epoch [23][1800/2353] lr: 2.361e-02, eta: 1 day, 11:49:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9744, loss_cls: 3.3843, loss: 3.3843 +2025-06-03 03:52:53,562 - pyskl - INFO - Epoch [23][1900/2353] lr: 2.360e-02, eta: 1 day, 11:48:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9719, loss_cls: 3.3434, loss: 3.3434 +2025-06-03 03:53:36,722 - pyskl - INFO - Epoch [23][2000/2353] lr: 2.360e-02, eta: 1 day, 11:47:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9781, loss_cls: 3.2585, loss: 3.2585 +2025-06-03 03:54:19,866 - pyskl - INFO - Epoch [23][2100/2353] lr: 2.359e-02, eta: 1 day, 11:47:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9637, loss_cls: 3.3132, loss: 3.3132 +2025-06-03 03:55:03,009 - pyskl - INFO - Epoch [23][2200/2353] lr: 2.359e-02, eta: 1 day, 11:46:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9663, loss_cls: 3.3536, loss: 3.3536 +2025-06-03 03:55:46,242 - pyskl - INFO - Epoch [23][2300/2353] lr: 2.358e-02, eta: 1 day, 11:45:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9644, loss_cls: 3.4649, loss: 3.4649 +2025-06-03 03:56:09,737 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-06-03 03:57:34,794 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:57:34,871 - pyskl - INFO - +top1_acc 0.8692 +top5_acc 0.9853 +2025-06-03 03:57:34,924 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_21.pth was removed +2025-06-03 03:57:35,908 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2025-06-03 03:57:35,909 - pyskl - INFO - Best top1_acc is 0.8692 at 23 epoch. +2025-06-03 03:57:35,911 - pyskl - INFO - Epoch(val) [23][1184] top1_acc: 0.8692, top5_acc: 0.9853 +2025-06-03 03:58:39,930 - pyskl - INFO - Epoch [24][100/2353] lr: 2.357e-02, eta: 1 day, 11:44:22, time: 0.640, data_time: 0.207, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9663, loss_cls: 3.1761, loss: 3.1761 +2025-06-03 03:59:23,042 - pyskl - INFO - Epoch [24][200/2353] lr: 2.357e-02, eta: 1 day, 11:43:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9756, loss_cls: 3.1689, loss: 3.1689 +2025-06-03 04:00:06,208 - pyskl - INFO - Epoch [24][300/2353] lr: 2.356e-02, eta: 1 day, 11:42:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9694, loss_cls: 3.3447, loss: 3.3447 +2025-06-03 04:00:49,332 - pyskl - INFO - Epoch [24][400/2353] lr: 2.356e-02, eta: 1 day, 11:42:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9700, loss_cls: 3.2380, loss: 3.2380 +2025-06-03 04:01:32,437 - pyskl - INFO - Epoch [24][500/2353] lr: 2.355e-02, eta: 1 day, 11:41:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9756, loss_cls: 3.2471, loss: 3.2471 +2025-06-03 04:02:15,512 - pyskl - INFO - Epoch [24][600/2353] lr: 2.355e-02, eta: 1 day, 11:40:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9712, loss_cls: 3.2993, loss: 3.2993 +2025-06-03 04:02:58,872 - pyskl - INFO - Epoch [24][700/2353] lr: 2.354e-02, eta: 1 day, 11:40:06, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9706, loss_cls: 3.2862, loss: 3.2862 +2025-06-03 04:03:42,183 - pyskl - INFO - Epoch [24][800/2353] lr: 2.354e-02, eta: 1 day, 11:39:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9731, loss_cls: 3.1334, loss: 3.1334 +2025-06-03 04:04:25,380 - pyskl - INFO - Epoch [24][900/2353] lr: 2.353e-02, eta: 1 day, 11:38:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9731, loss_cls: 3.1501, loss: 3.1501 +2025-06-03 04:05:08,537 - pyskl - INFO - Epoch [24][1000/2353] lr: 2.353e-02, eta: 1 day, 11:37:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9700, loss_cls: 3.2978, loss: 3.2978 +2025-06-03 04:05:51,606 - pyskl - INFO - Epoch [24][1100/2353] lr: 2.352e-02, eta: 1 day, 11:37:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8063, top5_acc: 0.9688, loss_cls: 3.3610, loss: 3.3610 +2025-06-03 04:06:34,697 - pyskl - INFO - Epoch [24][1200/2353] lr: 2.352e-02, eta: 1 day, 11:36:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9625, loss_cls: 3.3337, loss: 3.3337 +2025-06-03 04:07:17,805 - pyskl - INFO - Epoch [24][1300/2353] lr: 2.351e-02, eta: 1 day, 11:35:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9663, loss_cls: 3.2761, loss: 3.2761 +2025-06-03 04:08:00,961 - pyskl - INFO - Epoch [24][1400/2353] lr: 2.350e-02, eta: 1 day, 11:35:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9719, loss_cls: 3.3288, loss: 3.3288 +2025-06-03 04:08:44,099 - pyskl - INFO - Epoch [24][1500/2353] lr: 2.350e-02, eta: 1 day, 11:34:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9688, loss_cls: 3.2597, loss: 3.2597 +2025-06-03 04:09:27,302 - pyskl - INFO - Epoch [24][1600/2353] lr: 2.349e-02, eta: 1 day, 11:33:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9738, loss_cls: 3.3061, loss: 3.3061 +2025-06-03 04:10:10,557 - pyskl - INFO - Epoch [24][1700/2353] lr: 2.349e-02, eta: 1 day, 11:33:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9650, loss_cls: 3.4187, loss: 3.4187 +2025-06-03 04:10:53,696 - pyskl - INFO - Epoch [24][1800/2353] lr: 2.348e-02, eta: 1 day, 11:32:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9656, loss_cls: 3.4451, loss: 3.4451 +2025-06-03 04:11:36,983 - pyskl - INFO - Epoch [24][1900/2353] lr: 2.348e-02, eta: 1 day, 11:31:36, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9631, loss_cls: 3.2647, loss: 3.2647 +2025-06-03 04:12:20,262 - pyskl - INFO - Epoch [24][2000/2353] lr: 2.347e-02, eta: 1 day, 11:30:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9606, loss_cls: 3.3014, loss: 3.3014 +2025-06-03 04:13:03,352 - pyskl - INFO - Epoch [24][2100/2353] lr: 2.347e-02, eta: 1 day, 11:30:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8063, top5_acc: 0.9700, loss_cls: 3.3203, loss: 3.3203 +2025-06-03 04:13:46,521 - pyskl - INFO - Epoch [24][2200/2353] lr: 2.346e-02, eta: 1 day, 11:29:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9663, loss_cls: 3.2717, loss: 3.2717 +2025-06-03 04:14:29,731 - pyskl - INFO - Epoch [24][2300/2353] lr: 2.346e-02, eta: 1 day, 11:28:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9744, loss_cls: 3.2983, loss: 3.2983 +2025-06-03 04:14:53,236 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-06-03 04:16:18,720 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:16:18,795 - pyskl - INFO - +top1_acc 0.8378 +top5_acc 0.9789 +2025-06-03 04:16:18,798 - pyskl - INFO - Epoch(val) [24][1184] top1_acc: 0.8378, top5_acc: 0.9789 +2025-06-03 04:17:22,710 - pyskl - INFO - Epoch [25][100/2353] lr: 2.345e-02, eta: 1 day, 11:27:30, time: 0.639, data_time: 0.204, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9694, loss_cls: 3.2660, loss: 3.2660 +2025-06-03 04:18:05,870 - pyskl - INFO - Epoch [25][200/2353] lr: 2.344e-02, eta: 1 day, 11:26:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9712, loss_cls: 3.3697, loss: 3.3697 +2025-06-03 04:18:48,922 - pyskl - INFO - Epoch [25][300/2353] lr: 2.344e-02, eta: 1 day, 11:26:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9769, loss_cls: 3.2583, loss: 3.2583 +2025-06-03 04:19:32,118 - pyskl - INFO - Epoch [25][400/2353] lr: 2.343e-02, eta: 1 day, 11:25:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9631, loss_cls: 3.3017, loss: 3.3017 +2025-06-03 04:20:15,231 - pyskl - INFO - Epoch [25][500/2353] lr: 2.343e-02, eta: 1 day, 11:24:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9781, loss_cls: 3.2670, loss: 3.2670 +2025-06-03 04:20:58,371 - pyskl - INFO - Epoch [25][600/2353] lr: 2.342e-02, eta: 1 day, 11:23:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9619, loss_cls: 3.2352, loss: 3.2352 +2025-06-03 04:21:41,465 - pyskl - INFO - Epoch [25][700/2353] lr: 2.342e-02, eta: 1 day, 11:23:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9731, loss_cls: 3.2560, loss: 3.2560 +2025-06-03 04:22:24,577 - pyskl - INFO - Epoch [25][800/2353] lr: 2.341e-02, eta: 1 day, 11:22:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9681, loss_cls: 3.2659, loss: 3.2659 +2025-06-03 04:23:07,762 - pyskl - INFO - Epoch [25][900/2353] lr: 2.341e-02, eta: 1 day, 11:21:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9744, loss_cls: 3.2297, loss: 3.2297 +2025-06-03 04:23:50,873 - pyskl - INFO - Epoch [25][1000/2353] lr: 2.340e-02, eta: 1 day, 11:21:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9731, loss_cls: 3.1678, loss: 3.1678 +2025-06-03 04:24:33,990 - pyskl - INFO - Epoch [25][1100/2353] lr: 2.339e-02, eta: 1 day, 11:20:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9719, loss_cls: 3.2608, loss: 3.2608 +2025-06-03 04:25:17,033 - pyskl - INFO - Epoch [25][1200/2353] lr: 2.339e-02, eta: 1 day, 11:19:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9756, loss_cls: 3.1076, loss: 3.1076 +2025-06-03 04:26:00,094 - pyskl - INFO - Epoch [25][1300/2353] lr: 2.338e-02, eta: 1 day, 11:18:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9669, loss_cls: 3.2096, loss: 3.2096 +2025-06-03 04:26:43,217 - pyskl - INFO - Epoch [25][1400/2353] lr: 2.338e-02, eta: 1 day, 11:18:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9663, loss_cls: 3.2207, loss: 3.2207 +2025-06-03 04:27:26,331 - pyskl - INFO - Epoch [25][1500/2353] lr: 2.337e-02, eta: 1 day, 11:17:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9756, loss_cls: 3.2570, loss: 3.2570 +2025-06-03 04:28:09,368 - pyskl - INFO - Epoch [25][1600/2353] lr: 2.337e-02, eta: 1 day, 11:16:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9644, loss_cls: 3.2302, loss: 3.2302 +2025-06-03 04:28:52,465 - pyskl - INFO - Epoch [25][1700/2353] lr: 2.336e-02, eta: 1 day, 11:16:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9719, loss_cls: 3.1671, loss: 3.1671 +2025-06-03 04:29:35,622 - pyskl - INFO - Epoch [25][1800/2353] lr: 2.336e-02, eta: 1 day, 11:15:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9744, loss_cls: 3.2695, loss: 3.2695 +2025-06-03 04:30:18,664 - pyskl - INFO - Epoch [25][1900/2353] lr: 2.335e-02, eta: 1 day, 11:14:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9625, loss_cls: 3.3594, loss: 3.3594 +2025-06-03 04:31:01,702 - pyskl - INFO - Epoch [25][2000/2353] lr: 2.334e-02, eta: 1 day, 11:13:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9644, loss_cls: 3.3275, loss: 3.3275 +2025-06-03 04:31:44,914 - pyskl - INFO - Epoch [25][2100/2353] lr: 2.334e-02, eta: 1 day, 11:13:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9694, loss_cls: 3.2217, loss: 3.2217 +2025-06-03 04:32:27,874 - pyskl - INFO - Epoch [25][2200/2353] lr: 2.333e-02, eta: 1 day, 11:12:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9725, loss_cls: 3.2524, loss: 3.2524 +2025-06-03 04:33:10,847 - pyskl - INFO - Epoch [25][2300/2353] lr: 2.333e-02, eta: 1 day, 11:11:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9613, loss_cls: 3.3077, loss: 3.3077 +2025-06-03 04:33:34,385 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-06-03 04:42:29,706 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:42:29,784 - pyskl - INFO - +top1_acc 0.8524 +top5_acc 0.9861 +2025-06-03 04:42:29,788 - pyskl - INFO - Epoch(val) [25][1184] top1_acc: 0.8524, top5_acc: 0.9861 +2025-06-03 04:43:33,750 - pyskl - INFO - Epoch [26][100/2353] lr: 2.332e-02, eta: 1 day, 11:10:29, time: 0.640, data_time: 0.210, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9669, loss_cls: 3.2066, loss: 3.2066 +2025-06-03 04:44:16,982 - pyskl - INFO - Epoch [26][200/2353] lr: 2.331e-02, eta: 1 day, 11:09:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9738, loss_cls: 3.2535, loss: 3.2535 +2025-06-03 04:45:00,067 - pyskl - INFO - Epoch [26][300/2353] lr: 2.331e-02, eta: 1 day, 11:09:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9669, loss_cls: 3.2806, loss: 3.2806 +2025-06-03 04:45:43,068 - pyskl - INFO - Epoch [26][400/2353] lr: 2.330e-02, eta: 1 day, 11:08:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9781, loss_cls: 3.1028, loss: 3.1028 +2025-06-03 04:46:26,122 - pyskl - INFO - Epoch [26][500/2353] lr: 2.330e-02, eta: 1 day, 11:07:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9725, loss_cls: 3.2431, loss: 3.2431 +2025-06-03 04:47:09,266 - pyskl - INFO - Epoch [26][600/2353] lr: 2.329e-02, eta: 1 day, 11:06:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9725, loss_cls: 3.3071, loss: 3.3071 +2025-06-03 04:47:52,582 - pyskl - INFO - Epoch [26][700/2353] lr: 2.329e-02, eta: 1 day, 11:06:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9719, loss_cls: 3.2172, loss: 3.2172 +2025-06-03 04:48:36,260 - pyskl - INFO - Epoch [26][800/2353] lr: 2.328e-02, eta: 1 day, 11:05:33, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9744, loss_cls: 3.0979, loss: 3.0979 +2025-06-03 04:49:19,515 - pyskl - INFO - Epoch [26][900/2353] lr: 2.327e-02, eta: 1 day, 11:04:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9694, loss_cls: 3.2099, loss: 3.2099 +2025-06-03 04:50:02,874 - pyskl - INFO - Epoch [26][1000/2353] lr: 2.327e-02, eta: 1 day, 11:04:09, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9756, loss_cls: 3.1420, loss: 3.1420 +2025-06-03 04:50:46,053 - pyskl - INFO - Epoch [26][1100/2353] lr: 2.326e-02, eta: 1 day, 11:03:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9712, loss_cls: 3.3373, loss: 3.3373 +2025-06-03 04:51:29,113 - pyskl - INFO - Epoch [26][1200/2353] lr: 2.326e-02, eta: 1 day, 11:02:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9669, loss_cls: 3.2677, loss: 3.2677 +2025-06-03 04:52:12,175 - pyskl - INFO - Epoch [26][1300/2353] lr: 2.325e-02, eta: 1 day, 11:02:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9731, loss_cls: 3.2877, loss: 3.2877 +2025-06-03 04:52:55,228 - pyskl - INFO - Epoch [26][1400/2353] lr: 2.325e-02, eta: 1 day, 11:01:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9750, loss_cls: 3.2650, loss: 3.2650 +2025-06-03 04:53:38,357 - pyskl - INFO - Epoch [26][1500/2353] lr: 2.324e-02, eta: 1 day, 11:00:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9719, loss_cls: 3.3422, loss: 3.3422 +2025-06-03 04:54:21,461 - pyskl - INFO - Epoch [26][1600/2353] lr: 2.324e-02, eta: 1 day, 10:59:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9663, loss_cls: 3.3053, loss: 3.3053 +2025-06-03 04:55:04,530 - pyskl - INFO - Epoch [26][1700/2353] lr: 2.323e-02, eta: 1 day, 10:59:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9769, loss_cls: 3.2899, loss: 3.2899 +2025-06-03 04:55:47,514 - pyskl - INFO - Epoch [26][1800/2353] lr: 2.322e-02, eta: 1 day, 10:58:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9669, loss_cls: 3.4108, loss: 3.4108 +2025-06-03 04:56:30,558 - pyskl - INFO - Epoch [26][1900/2353] lr: 2.322e-02, eta: 1 day, 10:57:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8063, top5_acc: 0.9750, loss_cls: 3.2601, loss: 3.2601 +2025-06-03 04:57:13,538 - pyskl - INFO - Epoch [26][2000/2353] lr: 2.321e-02, eta: 1 day, 10:56:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9681, loss_cls: 3.2837, loss: 3.2837 +2025-06-03 04:57:56,587 - pyskl - INFO - Epoch [26][2100/2353] lr: 2.321e-02, eta: 1 day, 10:56:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9669, loss_cls: 3.1992, loss: 3.1992 +2025-06-03 04:58:39,678 - pyskl - INFO - Epoch [26][2200/2353] lr: 2.320e-02, eta: 1 day, 10:55:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9762, loss_cls: 3.2009, loss: 3.2009 +2025-06-03 04:59:22,685 - pyskl - INFO - Epoch [26][2300/2353] lr: 2.320e-02, eta: 1 day, 10:54:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9656, loss_cls: 3.2541, loss: 3.2541 +2025-06-03 04:59:46,013 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-06-03 05:01:11,177 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:01:11,251 - pyskl - INFO - +top1_acc 0.8321 +top5_acc 0.9820 +2025-06-03 05:01:11,254 - pyskl - INFO - Epoch(val) [26][1184] top1_acc: 0.8321, top5_acc: 0.9820 +2025-06-03 05:02:14,880 - pyskl - INFO - Epoch [27][100/2353] lr: 2.319e-02, eta: 1 day, 10:53:32, time: 0.636, data_time: 0.206, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9812, loss_cls: 3.2196, loss: 3.2196 +2025-06-03 05:02:58,142 - pyskl - INFO - Epoch [27][200/2353] lr: 2.318e-02, eta: 1 day, 10:52:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9706, loss_cls: 3.2794, loss: 3.2794 +2025-06-03 05:03:41,250 - pyskl - INFO - Epoch [27][300/2353] lr: 2.317e-02, eta: 1 day, 10:52:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9750, loss_cls: 3.1927, loss: 3.1927 +2025-06-03 05:04:24,361 - pyskl - INFO - Epoch [27][400/2353] lr: 2.317e-02, eta: 1 day, 10:51:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9756, loss_cls: 3.2571, loss: 3.2571 +2025-06-03 05:05:07,602 - pyskl - INFO - Epoch [27][500/2353] lr: 2.316e-02, eta: 1 day, 10:50:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9800, loss_cls: 3.0821, loss: 3.0821 +2025-06-03 05:05:50,743 - pyskl - INFO - Epoch [27][600/2353] lr: 2.316e-02, eta: 1 day, 10:49:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9663, loss_cls: 3.1998, loss: 3.1998 +2025-06-03 05:06:34,180 - pyskl - INFO - Epoch [27][700/2353] lr: 2.315e-02, eta: 1 day, 10:49:18, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9688, loss_cls: 3.3872, loss: 3.3872 +2025-06-03 05:07:17,394 - pyskl - INFO - Epoch [27][800/2353] lr: 2.315e-02, eta: 1 day, 10:48:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9675, loss_cls: 3.3742, loss: 3.3742 +2025-06-03 05:08:00,581 - pyskl - INFO - Epoch [27][900/2353] lr: 2.314e-02, eta: 1 day, 10:47:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9762, loss_cls: 3.2161, loss: 3.2161 +2025-06-03 05:08:43,698 - pyskl - INFO - Epoch [27][1000/2353] lr: 2.313e-02, eta: 1 day, 10:47:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9694, loss_cls: 3.1863, loss: 3.1863 +2025-06-03 05:09:26,917 - pyskl - INFO - Epoch [27][1100/2353] lr: 2.313e-02, eta: 1 day, 10:46:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9775, loss_cls: 3.1604, loss: 3.1604 +2025-06-03 05:10:10,125 - pyskl - INFO - Epoch [27][1200/2353] lr: 2.312e-02, eta: 1 day, 10:45:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9694, loss_cls: 3.1268, loss: 3.1268 +2025-06-03 05:10:53,227 - pyskl - INFO - Epoch [27][1300/2353] lr: 2.312e-02, eta: 1 day, 10:45:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9756, loss_cls: 3.2323, loss: 3.2323 +2025-06-03 05:11:36,314 - pyskl - INFO - Epoch [27][1400/2353] lr: 2.311e-02, eta: 1 day, 10:44:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9644, loss_cls: 3.1884, loss: 3.1884 +2025-06-03 05:12:19,384 - pyskl - INFO - Epoch [27][1500/2353] lr: 2.310e-02, eta: 1 day, 10:43:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9650, loss_cls: 3.2292, loss: 3.2292 +2025-06-03 05:13:02,480 - pyskl - INFO - Epoch [27][1600/2353] lr: 2.310e-02, eta: 1 day, 10:42:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9744, loss_cls: 3.1732, loss: 3.1732 +2025-06-03 05:13:45,564 - pyskl - INFO - Epoch [27][1700/2353] lr: 2.309e-02, eta: 1 day, 10:42:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9688, loss_cls: 3.2803, loss: 3.2803 +2025-06-03 05:14:28,694 - pyskl - INFO - Epoch [27][1800/2353] lr: 2.309e-02, eta: 1 day, 10:41:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9656, loss_cls: 3.2773, loss: 3.2773 +2025-06-03 05:15:11,757 - pyskl - INFO - Epoch [27][1900/2353] lr: 2.308e-02, eta: 1 day, 10:40:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9769, loss_cls: 3.2133, loss: 3.2133 +2025-06-03 05:15:54,915 - pyskl - INFO - Epoch [27][2000/2353] lr: 2.308e-02, eta: 1 day, 10:40:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9781, loss_cls: 3.1527, loss: 3.1527 +2025-06-03 05:16:38,107 - pyskl - INFO - Epoch [27][2100/2353] lr: 2.307e-02, eta: 1 day, 10:39:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9731, loss_cls: 3.2295, loss: 3.2295 +2025-06-03 05:17:21,332 - pyskl - INFO - Epoch [27][2200/2353] lr: 2.306e-02, eta: 1 day, 10:38:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9694, loss_cls: 3.3627, loss: 3.3627 +2025-06-03 05:18:04,515 - pyskl - INFO - Epoch [27][2300/2353] lr: 2.306e-02, eta: 1 day, 10:37:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9725, loss_cls: 3.0676, loss: 3.0676 +2025-06-03 05:18:27,974 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-06-03 05:19:53,392 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:19:53,467 - pyskl - INFO - +top1_acc 0.8630 +top5_acc 0.9878 +2025-06-03 05:19:53,470 - pyskl - INFO - Epoch(val) [27][1184] top1_acc: 0.8630, top5_acc: 0.9878 +2025-06-03 05:20:57,317 - pyskl - INFO - Epoch [28][100/2353] lr: 2.305e-02, eta: 1 day, 10:36:39, time: 0.638, data_time: 0.207, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9819, loss_cls: 3.1441, loss: 3.1441 +2025-06-03 05:21:40,527 - pyskl - INFO - Epoch [28][200/2353] lr: 2.304e-02, eta: 1 day, 10:35:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9738, loss_cls: 3.1931, loss: 3.1931 +2025-06-03 05:22:23,786 - pyskl - INFO - Epoch [28][300/2353] lr: 2.304e-02, eta: 1 day, 10:35:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9725, loss_cls: 3.3056, loss: 3.3056 +2025-06-03 05:23:06,906 - pyskl - INFO - Epoch [28][400/2353] lr: 2.303e-02, eta: 1 day, 10:34:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9794, loss_cls: 3.1555, loss: 3.1555 +2025-06-03 05:23:50,196 - pyskl - INFO - Epoch [28][500/2353] lr: 2.302e-02, eta: 1 day, 10:33:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9700, loss_cls: 3.2272, loss: 3.2272 +2025-06-03 05:24:33,357 - pyskl - INFO - Epoch [28][600/2353] lr: 2.302e-02, eta: 1 day, 10:33:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9669, loss_cls: 3.3648, loss: 3.3648 +2025-06-03 05:25:16,570 - pyskl - INFO - Epoch [28][700/2353] lr: 2.301e-02, eta: 1 day, 10:32:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9706, loss_cls: 3.2313, loss: 3.2313 +2025-06-03 05:25:59,697 - pyskl - INFO - Epoch [28][800/2353] lr: 2.301e-02, eta: 1 day, 10:31:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9681, loss_cls: 3.2792, loss: 3.2792 +2025-06-03 05:26:42,824 - pyskl - INFO - Epoch [28][900/2353] lr: 2.300e-02, eta: 1 day, 10:30:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9762, loss_cls: 3.1156, loss: 3.1156 +2025-06-03 05:27:25,882 - pyskl - INFO - Epoch [28][1000/2353] lr: 2.299e-02, eta: 1 day, 10:30:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9644, loss_cls: 3.2847, loss: 3.2847 +2025-06-03 05:28:08,976 - pyskl - INFO - Epoch [28][1100/2353] lr: 2.299e-02, eta: 1 day, 10:29:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9663, loss_cls: 3.2592, loss: 3.2592 +2025-06-03 05:28:52,121 - pyskl - INFO - Epoch [28][1200/2353] lr: 2.298e-02, eta: 1 day, 10:28:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9725, loss_cls: 3.1310, loss: 3.1310 +2025-06-03 05:29:35,185 - pyskl - INFO - Epoch [28][1300/2353] lr: 2.298e-02, eta: 1 day, 10:28:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9719, loss_cls: 3.1669, loss: 3.1669 +2025-06-03 05:30:18,254 - pyskl - INFO - Epoch [28][1400/2353] lr: 2.297e-02, eta: 1 day, 10:27:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9694, loss_cls: 3.3088, loss: 3.3088 +2025-06-03 05:31:01,386 - pyskl - INFO - Epoch [28][1500/2353] lr: 2.296e-02, eta: 1 day, 10:26:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9712, loss_cls: 3.1740, loss: 3.1740 +2025-06-03 05:31:44,482 - pyskl - INFO - Epoch [28][1600/2353] lr: 2.296e-02, eta: 1 day, 10:25:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9750, loss_cls: 3.2625, loss: 3.2625 +2025-06-03 05:32:27,530 - pyskl - INFO - Epoch [28][1700/2353] lr: 2.295e-02, eta: 1 day, 10:25:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9725, loss_cls: 3.1895, loss: 3.1895 +2025-06-03 05:33:10,649 - pyskl - INFO - Epoch [28][1800/2353] lr: 2.295e-02, eta: 1 day, 10:24:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9688, loss_cls: 3.2319, loss: 3.2319 +2025-06-03 05:33:53,677 - pyskl - INFO - Epoch [28][1900/2353] lr: 2.294e-02, eta: 1 day, 10:23:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9706, loss_cls: 3.2433, loss: 3.2433 +2025-06-03 05:34:36,765 - pyskl - INFO - Epoch [28][2000/2353] lr: 2.293e-02, eta: 1 day, 10:23:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9744, loss_cls: 3.1101, loss: 3.1101 +2025-06-03 05:35:19,879 - pyskl - INFO - Epoch [28][2100/2353] lr: 2.293e-02, eta: 1 day, 10:22:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9631, loss_cls: 3.2026, loss: 3.2026 +2025-06-03 05:36:03,078 - pyskl - INFO - Epoch [28][2200/2353] lr: 2.292e-02, eta: 1 day, 10:21:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9706, loss_cls: 3.3033, loss: 3.3033 +2025-06-03 05:36:46,238 - pyskl - INFO - Epoch [28][2300/2353] lr: 2.291e-02, eta: 1 day, 10:20:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9744, loss_cls: 3.1649, loss: 3.1649 +2025-06-03 05:37:09,635 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-06-03 05:38:35,017 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:38:35,092 - pyskl - INFO - +top1_acc 0.8717 +top5_acc 0.9875 +2025-06-03 05:38:35,147 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_23.pth was removed +2025-06-03 05:38:36,169 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_28.pth. +2025-06-03 05:38:36,170 - pyskl - INFO - Best top1_acc is 0.8717 at 28 epoch. +2025-06-03 05:38:36,173 - pyskl - INFO - Epoch(val) [28][1184] top1_acc: 0.8717, top5_acc: 0.9875 +2025-06-03 05:39:39,333 - pyskl - INFO - Epoch [29][100/2353] lr: 2.291e-02, eta: 1 day, 10:19:40, time: 0.632, data_time: 0.201, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9806, loss_cls: 3.1575, loss: 3.1575 +2025-06-03 05:40:22,453 - pyskl - INFO - Epoch [29][200/2353] lr: 2.290e-02, eta: 1 day, 10:18:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9831, loss_cls: 3.2457, loss: 3.2457 +2025-06-03 05:41:05,501 - pyskl - INFO - Epoch [29][300/2353] lr: 2.289e-02, eta: 1 day, 10:18:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9694, loss_cls: 3.2356, loss: 3.2356 +2025-06-03 05:41:48,577 - pyskl - INFO - Epoch [29][400/2353] lr: 2.289e-02, eta: 1 day, 10:17:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9719, loss_cls: 3.1689, loss: 3.1689 +2025-06-03 05:42:31,689 - pyskl - INFO - Epoch [29][500/2353] lr: 2.288e-02, eta: 1 day, 10:16:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9756, loss_cls: 3.2007, loss: 3.2007 +2025-06-03 05:43:14,819 - pyskl - INFO - Epoch [29][600/2353] lr: 2.287e-02, eta: 1 day, 10:16:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9719, loss_cls: 3.1941, loss: 3.1941 +2025-06-03 05:43:57,926 - pyskl - INFO - Epoch [29][700/2353] lr: 2.287e-02, eta: 1 day, 10:15:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9706, loss_cls: 3.2689, loss: 3.2689 +2025-06-03 05:44:41,067 - pyskl - INFO - Epoch [29][800/2353] lr: 2.286e-02, eta: 1 day, 10:14:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9706, loss_cls: 3.1345, loss: 3.1345 +2025-06-03 05:45:24,249 - pyskl - INFO - Epoch [29][900/2353] lr: 2.286e-02, eta: 1 day, 10:13:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9700, loss_cls: 3.1454, loss: 3.1454 +2025-06-03 05:46:07,323 - pyskl - INFO - Epoch [29][1000/2353] lr: 2.285e-02, eta: 1 day, 10:13:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9769, loss_cls: 3.1437, loss: 3.1437 +2025-06-03 05:46:50,372 - pyskl - INFO - Epoch [29][1100/2353] lr: 2.284e-02, eta: 1 day, 10:12:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9706, loss_cls: 3.1922, loss: 3.1922 +2025-06-03 05:47:33,457 - pyskl - INFO - Epoch [29][1200/2353] lr: 2.284e-02, eta: 1 day, 10:11:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9769, loss_cls: 3.2108, loss: 3.2108 +2025-06-03 05:48:16,528 - pyskl - INFO - Epoch [29][1300/2353] lr: 2.283e-02, eta: 1 day, 10:11:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9606, loss_cls: 3.1958, loss: 3.1958 +2025-06-03 05:48:59,602 - pyskl - INFO - Epoch [29][1400/2353] lr: 2.282e-02, eta: 1 day, 10:10:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9706, loss_cls: 3.1868, loss: 3.1868 +2025-06-03 05:49:42,743 - pyskl - INFO - Epoch [29][1500/2353] lr: 2.282e-02, eta: 1 day, 10:09:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9669, loss_cls: 3.1727, loss: 3.1727 +2025-06-03 05:50:25,859 - pyskl - INFO - Epoch [29][1600/2353] lr: 2.281e-02, eta: 1 day, 10:08:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9738, loss_cls: 3.2538, loss: 3.2538 +2025-06-03 05:51:08,933 - pyskl - INFO - Epoch [29][1700/2353] lr: 2.281e-02, eta: 1 day, 10:08:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9788, loss_cls: 3.1457, loss: 3.1457 +2025-06-03 05:51:52,118 - pyskl - INFO - Epoch [29][1800/2353] lr: 2.280e-02, eta: 1 day, 10:07:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9762, loss_cls: 3.1006, loss: 3.1006 +2025-06-03 05:52:35,268 - pyskl - INFO - Epoch [29][1900/2353] lr: 2.279e-02, eta: 1 day, 10:06:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9744, loss_cls: 3.1015, loss: 3.1015 +2025-06-03 05:53:18,378 - pyskl - INFO - Epoch [29][2000/2353] lr: 2.279e-02, eta: 1 day, 10:06:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9650, loss_cls: 3.2277, loss: 3.2277 +2025-06-03 05:54:01,519 - pyskl - INFO - Epoch [29][2100/2353] lr: 2.278e-02, eta: 1 day, 10:05:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9663, loss_cls: 3.1712, loss: 3.1712 +2025-06-03 05:54:44,602 - pyskl - INFO - Epoch [29][2200/2353] lr: 2.277e-02, eta: 1 day, 10:04:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9663, loss_cls: 3.3553, loss: 3.3553 +2025-06-03 05:55:27,715 - pyskl - INFO - Epoch [29][2300/2353] lr: 2.277e-02, eta: 1 day, 10:03:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9712, loss_cls: 3.1627, loss: 3.1627 +2025-06-03 05:55:51,183 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-06-03 05:57:16,682 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:57:16,756 - pyskl - INFO - +top1_acc 0.8601 +top5_acc 0.9862 +2025-06-03 05:57:16,759 - pyskl - INFO - Epoch(val) [29][1184] top1_acc: 0.8601, top5_acc: 0.9862 +2025-06-03 05:58:20,196 - pyskl - INFO - Epoch [30][100/2353] lr: 2.276e-02, eta: 1 day, 10:02:41, time: 0.634, data_time: 0.204, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9712, loss_cls: 3.1063, loss: 3.1063 +2025-06-03 05:59:03,255 - pyskl - INFO - Epoch [30][200/2353] lr: 2.275e-02, eta: 1 day, 10:01:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9719, loss_cls: 3.1523, loss: 3.1523 +2025-06-03 05:59:46,204 - pyskl - INFO - Epoch [30][300/2353] lr: 2.275e-02, eta: 1 day, 10:01:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9800, loss_cls: 3.1852, loss: 3.1852 +2025-06-03 06:00:29,250 - pyskl - INFO - Epoch [30][400/2353] lr: 2.274e-02, eta: 1 day, 10:00:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9706, loss_cls: 3.2697, loss: 3.2697 +2025-06-03 06:01:12,290 - pyskl - INFO - Epoch [30][500/2353] lr: 2.273e-02, eta: 1 day, 9:59:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9712, loss_cls: 3.1482, loss: 3.1482 +2025-06-03 06:01:55,433 - pyskl - INFO - Epoch [30][600/2353] lr: 2.273e-02, eta: 1 day, 9:59:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9719, loss_cls: 3.0794, loss: 3.0794 +2025-06-03 06:02:38,485 - pyskl - INFO - Epoch [30][700/2353] lr: 2.272e-02, eta: 1 day, 9:58:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9681, loss_cls: 3.2392, loss: 3.2392 +2025-06-03 06:03:21,632 - pyskl - INFO - Epoch [30][800/2353] lr: 2.271e-02, eta: 1 day, 9:57:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9738, loss_cls: 3.1698, loss: 3.1698 +2025-06-03 06:04:04,768 - pyskl - INFO - Epoch [30][900/2353] lr: 2.271e-02, eta: 1 day, 9:56:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9706, loss_cls: 3.1974, loss: 3.1974 +2025-06-03 06:04:47,922 - pyskl - INFO - Epoch [30][1000/2353] lr: 2.270e-02, eta: 1 day, 9:56:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9694, loss_cls: 3.1487, loss: 3.1487 +2025-06-03 06:05:31,002 - pyskl - INFO - Epoch [30][1100/2353] lr: 2.269e-02, eta: 1 day, 9:55:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9800, loss_cls: 3.0591, loss: 3.0591 +2025-06-03 06:06:14,102 - pyskl - INFO - Epoch [30][1200/2353] lr: 2.269e-02, eta: 1 day, 9:54:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9769, loss_cls: 3.1853, loss: 3.1853 +2025-06-03 06:06:57,311 - pyskl - INFO - Epoch [30][1300/2353] lr: 2.268e-02, eta: 1 day, 9:54:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9700, loss_cls: 3.2199, loss: 3.2199 +2025-06-03 06:07:40,518 - pyskl - INFO - Epoch [30][1400/2353] lr: 2.267e-02, eta: 1 day, 9:53:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9694, loss_cls: 3.1229, loss: 3.1229 +2025-06-03 06:08:23,689 - pyskl - INFO - Epoch [30][1500/2353] lr: 2.267e-02, eta: 1 day, 9:52:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9762, loss_cls: 3.2048, loss: 3.2048 +2025-06-03 06:09:06,893 - pyskl - INFO - Epoch [30][1600/2353] lr: 2.266e-02, eta: 1 day, 9:51:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9688, loss_cls: 3.2624, loss: 3.2624 +2025-06-03 06:09:49,945 - pyskl - INFO - Epoch [30][1700/2353] lr: 2.266e-02, eta: 1 day, 9:51:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9669, loss_cls: 3.2509, loss: 3.2509 +2025-06-03 06:10:33,017 - pyskl - INFO - Epoch [30][1800/2353] lr: 2.265e-02, eta: 1 day, 9:50:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9731, loss_cls: 3.1934, loss: 3.1934 +2025-06-03 06:11:16,063 - pyskl - INFO - Epoch [30][1900/2353] lr: 2.264e-02, eta: 1 day, 9:49:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9775, loss_cls: 3.1746, loss: 3.1746 +2025-06-03 06:11:59,143 - pyskl - INFO - Epoch [30][2000/2353] lr: 2.264e-02, eta: 1 day, 9:49:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9656, loss_cls: 3.2531, loss: 3.2531 +2025-06-03 06:12:42,206 - pyskl - INFO - Epoch [30][2100/2353] lr: 2.263e-02, eta: 1 day, 9:48:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9769, loss_cls: 3.2176, loss: 3.2176 +2025-06-03 06:13:25,210 - pyskl - INFO - Epoch [30][2200/2353] lr: 2.262e-02, eta: 1 day, 9:47:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9769, loss_cls: 3.0682, loss: 3.0682 +2025-06-03 06:14:08,248 - pyskl - INFO - Epoch [30][2300/2353] lr: 2.262e-02, eta: 1 day, 9:46:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9669, loss_cls: 3.2158, loss: 3.2158 +2025-06-03 06:14:31,497 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-06-03 06:23:34,048 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:23:34,123 - pyskl - INFO - +top1_acc 0.8754 +top5_acc 0.9891 +2025-06-03 06:23:34,175 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_28.pth was removed +2025-06-03 06:23:35,158 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. +2025-06-03 06:23:35,159 - pyskl - INFO - Best top1_acc is 0.8754 at 30 epoch. +2025-06-03 06:23:35,162 - pyskl - INFO - Epoch(val) [30][1184] top1_acc: 0.8754, top5_acc: 0.9891 +2025-06-03 06:24:38,421 - pyskl - INFO - Epoch [31][100/2353] lr: 2.261e-02, eta: 1 day, 9:45:40, time: 0.633, data_time: 0.202, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9794, loss_cls: 3.0166, loss: 3.0166 +2025-06-03 06:25:21,513 - pyskl - INFO - Epoch [31][200/2353] lr: 2.260e-02, eta: 1 day, 9:44:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9725, loss_cls: 3.0600, loss: 3.0600 +2025-06-03 06:26:04,660 - pyskl - INFO - Epoch [31][300/2353] lr: 2.259e-02, eta: 1 day, 9:44:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9769, loss_cls: 3.0488, loss: 3.0488 +2025-06-03 06:26:47,810 - pyskl - INFO - Epoch [31][400/2353] lr: 2.259e-02, eta: 1 day, 9:43:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9838, loss_cls: 3.0738, loss: 3.0738 +2025-06-03 06:27:30,926 - pyskl - INFO - Epoch [31][500/2353] lr: 2.258e-02, eta: 1 day, 9:42:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9712, loss_cls: 3.2126, loss: 3.2126 +2025-06-03 06:28:14,086 - pyskl - INFO - Epoch [31][600/2353] lr: 2.257e-02, eta: 1 day, 9:42:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9738, loss_cls: 3.1610, loss: 3.1610 +2025-06-03 06:28:57,176 - pyskl - INFO - Epoch [31][700/2353] lr: 2.257e-02, eta: 1 day, 9:41:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9688, loss_cls: 3.2524, loss: 3.2524 +2025-06-03 06:29:40,419 - pyskl - INFO - Epoch [31][800/2353] lr: 2.256e-02, eta: 1 day, 9:40:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9669, loss_cls: 3.3159, loss: 3.3159 +2025-06-03 06:30:23,708 - pyskl - INFO - Epoch [31][900/2353] lr: 2.255e-02, eta: 1 day, 9:39:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9756, loss_cls: 3.1640, loss: 3.1640 +2025-06-03 06:31:07,040 - pyskl - INFO - Epoch [31][1000/2353] lr: 2.255e-02, eta: 1 day, 9:39:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9656, loss_cls: 3.2618, loss: 3.2618 +2025-06-03 06:31:50,183 - pyskl - INFO - Epoch [31][1100/2353] lr: 2.254e-02, eta: 1 day, 9:38:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9694, loss_cls: 3.1575, loss: 3.1575 +2025-06-03 06:32:33,324 - pyskl - INFO - Epoch [31][1200/2353] lr: 2.253e-02, eta: 1 day, 9:37:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9675, loss_cls: 3.2374, loss: 3.2374 +2025-06-03 06:33:16,416 - pyskl - INFO - Epoch [31][1300/2353] lr: 2.253e-02, eta: 1 day, 9:37:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9681, loss_cls: 3.2438, loss: 3.2438 +2025-06-03 06:33:59,597 - pyskl - INFO - Epoch [31][1400/2353] lr: 2.252e-02, eta: 1 day, 9:36:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9719, loss_cls: 3.1940, loss: 3.1940 +2025-06-03 06:34:42,778 - pyskl - INFO - Epoch [31][1500/2353] lr: 2.251e-02, eta: 1 day, 9:35:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9694, loss_cls: 3.1408, loss: 3.1408 +2025-06-03 06:35:25,877 - pyskl - INFO - Epoch [31][1600/2353] lr: 2.251e-02, eta: 1 day, 9:35:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9800, loss_cls: 3.0071, loss: 3.0071 +2025-06-03 06:36:09,253 - pyskl - INFO - Epoch [31][1700/2353] lr: 2.250e-02, eta: 1 day, 9:34:18, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9706, loss_cls: 3.2252, loss: 3.2252 +2025-06-03 06:36:52,454 - pyskl - INFO - Epoch [31][1800/2353] lr: 2.249e-02, eta: 1 day, 9:33:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9725, loss_cls: 3.1869, loss: 3.1869 +2025-06-03 06:37:35,622 - pyskl - INFO - Epoch [31][1900/2353] lr: 2.249e-02, eta: 1 day, 9:32:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9594, loss_cls: 3.3534, loss: 3.3534 +2025-06-03 06:38:18,702 - pyskl - INFO - Epoch [31][2000/2353] lr: 2.248e-02, eta: 1 day, 9:32:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9762, loss_cls: 3.1577, loss: 3.1577 +2025-06-03 06:39:01,815 - pyskl - INFO - Epoch [31][2100/2353] lr: 2.247e-02, eta: 1 day, 9:31:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9712, loss_cls: 3.3154, loss: 3.3154 +2025-06-03 06:39:44,913 - pyskl - INFO - Epoch [31][2200/2353] lr: 2.247e-02, eta: 1 day, 9:30:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9700, loss_cls: 3.2484, loss: 3.2484 +2025-06-03 06:40:28,022 - pyskl - INFO - Epoch [31][2300/2353] lr: 2.246e-02, eta: 1 day, 9:30:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9706, loss_cls: 3.2550, loss: 3.2550 +2025-06-03 06:40:51,455 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-06-03 06:42:16,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:42:16,917 - pyskl - INFO - +top1_acc 0.8775 +top5_acc 0.9880 +2025-06-03 06:42:16,969 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_30.pth was removed +2025-06-03 06:42:17,961 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_31.pth. +2025-06-03 06:42:17,962 - pyskl - INFO - Best top1_acc is 0.8775 at 31 epoch. +2025-06-03 06:42:17,964 - pyskl - INFO - Epoch(val) [31][1184] top1_acc: 0.8775, top5_acc: 0.9880 +2025-06-03 06:43:21,307 - pyskl - INFO - Epoch [32][100/2353] lr: 2.245e-02, eta: 1 day, 9:28:45, time: 0.633, data_time: 0.203, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9706, loss_cls: 3.1740, loss: 3.1740 +2025-06-03 06:44:04,644 - pyskl - INFO - Epoch [32][200/2353] lr: 2.244e-02, eta: 1 day, 9:28:03, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9756, loss_cls: 3.1692, loss: 3.1692 +2025-06-03 06:44:47,798 - pyskl - INFO - Epoch [32][300/2353] lr: 2.244e-02, eta: 1 day, 9:27:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9669, loss_cls: 3.1769, loss: 3.1769 +2025-06-03 06:45:31,015 - pyskl - INFO - Epoch [32][400/2353] lr: 2.243e-02, eta: 1 day, 9:26:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9712, loss_cls: 3.1400, loss: 3.1400 +2025-06-03 06:46:14,193 - pyskl - INFO - Epoch [32][500/2353] lr: 2.242e-02, eta: 1 day, 9:25:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9775, loss_cls: 3.0950, loss: 3.0950 +2025-06-03 06:46:57,349 - pyskl - INFO - Epoch [32][600/2353] lr: 2.242e-02, eta: 1 day, 9:25:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9769, loss_cls: 3.1177, loss: 3.1177 +2025-06-03 06:47:40,424 - pyskl - INFO - Epoch [32][700/2353] lr: 2.241e-02, eta: 1 day, 9:24:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9750, loss_cls: 3.2474, loss: 3.2474 +2025-06-03 06:48:23,641 - pyskl - INFO - Epoch [32][800/2353] lr: 2.240e-02, eta: 1 day, 9:23:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9825, loss_cls: 3.0396, loss: 3.0396 +2025-06-03 06:49:06,917 - pyskl - INFO - Epoch [32][900/2353] lr: 2.240e-02, eta: 1 day, 9:23:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9675, loss_cls: 3.1301, loss: 3.1301 +2025-06-03 06:49:50,124 - pyskl - INFO - Epoch [32][1000/2353] lr: 2.239e-02, eta: 1 day, 9:22:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9775, loss_cls: 3.1207, loss: 3.1207 +2025-06-03 06:50:33,266 - pyskl - INFO - Epoch [32][1100/2353] lr: 2.238e-02, eta: 1 day, 9:21:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9762, loss_cls: 3.1044, loss: 3.1044 +2025-06-03 06:51:16,433 - pyskl - INFO - Epoch [32][1200/2353] lr: 2.238e-02, eta: 1 day, 9:20:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9719, loss_cls: 3.1020, loss: 3.1020 +2025-06-03 06:51:59,533 - pyskl - INFO - Epoch [32][1300/2353] lr: 2.237e-02, eta: 1 day, 9:20:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9731, loss_cls: 3.1172, loss: 3.1172 +2025-06-03 06:52:42,535 - pyskl - INFO - Epoch [32][1400/2353] lr: 2.236e-02, eta: 1 day, 9:19:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9712, loss_cls: 3.1508, loss: 3.1508 +2025-06-03 06:53:25,639 - pyskl - INFO - Epoch [32][1500/2353] lr: 2.235e-02, eta: 1 day, 9:18:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9731, loss_cls: 3.1381, loss: 3.1381 +2025-06-03 06:54:08,778 - pyskl - INFO - Epoch [32][1600/2353] lr: 2.235e-02, eta: 1 day, 9:18:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9750, loss_cls: 3.2159, loss: 3.2159 +2025-06-03 06:54:51,942 - pyskl - INFO - Epoch [32][1700/2353] lr: 2.234e-02, eta: 1 day, 9:17:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9663, loss_cls: 3.2437, loss: 3.2437 +2025-06-03 06:55:35,059 - pyskl - INFO - Epoch [32][1800/2353] lr: 2.233e-02, eta: 1 day, 9:16:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9688, loss_cls: 3.2138, loss: 3.2138 +2025-06-03 06:56:17,909 - pyskl - INFO - Epoch [32][1900/2353] lr: 2.233e-02, eta: 1 day, 9:15:56, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9669, loss_cls: 3.2204, loss: 3.2204 +2025-06-03 06:57:01,080 - pyskl - INFO - Epoch [32][2000/2353] lr: 2.232e-02, eta: 1 day, 9:15:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9719, loss_cls: 3.1837, loss: 3.1837 +2025-06-03 06:57:44,285 - pyskl - INFO - Epoch [32][2100/2353] lr: 2.231e-02, eta: 1 day, 9:14:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9750, loss_cls: 3.0611, loss: 3.0611 +2025-06-03 06:58:27,482 - pyskl - INFO - Epoch [32][2200/2353] lr: 2.231e-02, eta: 1 day, 9:13:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9731, loss_cls: 3.2002, loss: 3.2002 +2025-06-03 06:59:10,625 - pyskl - INFO - Epoch [32][2300/2353] lr: 2.230e-02, eta: 1 day, 9:13:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9700, loss_cls: 3.2309, loss: 3.2309 +2025-06-03 06:59:34,059 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-06-03 07:00:59,690 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:00:59,766 - pyskl - INFO - +top1_acc 0.8328 +top5_acc 0.9839 +2025-06-03 07:00:59,769 - pyskl - INFO - Epoch(val) [32][1184] top1_acc: 0.8328, top5_acc: 0.9839 +2025-06-03 07:02:03,635 - pyskl - INFO - Epoch [33][100/2353] lr: 2.229e-02, eta: 1 day, 9:11:52, time: 0.639, data_time: 0.207, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9706, loss_cls: 3.1513, loss: 3.1513 +2025-06-03 07:02:46,890 - pyskl - INFO - Epoch [33][200/2353] lr: 2.228e-02, eta: 1 day, 9:11:10, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9775, loss_cls: 3.1754, loss: 3.1754 +2025-06-03 07:03:30,084 - pyskl - INFO - Epoch [33][300/2353] lr: 2.228e-02, eta: 1 day, 9:10:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9700, loss_cls: 3.1610, loss: 3.1610 +2025-06-03 07:04:13,190 - pyskl - INFO - Epoch [33][400/2353] lr: 2.227e-02, eta: 1 day, 9:09:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9663, loss_cls: 3.1128, loss: 3.1128 +2025-06-03 07:04:56,224 - pyskl - INFO - Epoch [33][500/2353] lr: 2.226e-02, eta: 1 day, 9:09:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9738, loss_cls: 3.1385, loss: 3.1385 +2025-06-03 07:05:39,298 - pyskl - INFO - Epoch [33][600/2353] lr: 2.225e-02, eta: 1 day, 9:08:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9712, loss_cls: 3.1072, loss: 3.1072 +2025-06-03 07:06:22,321 - pyskl - INFO - Epoch [33][700/2353] lr: 2.225e-02, eta: 1 day, 9:07:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9744, loss_cls: 3.1841, loss: 3.1841 +2025-06-03 07:07:05,433 - pyskl - INFO - Epoch [33][800/2353] lr: 2.224e-02, eta: 1 day, 9:06:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9725, loss_cls: 3.1208, loss: 3.1208 +2025-06-03 07:07:48,516 - pyskl - INFO - Epoch [33][900/2353] lr: 2.223e-02, eta: 1 day, 9:06:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9663, loss_cls: 3.1834, loss: 3.1834 +2025-06-03 07:08:31,746 - pyskl - INFO - Epoch [33][1000/2353] lr: 2.223e-02, eta: 1 day, 9:05:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9712, loss_cls: 3.1733, loss: 3.1733 +2025-06-03 07:09:14,892 - pyskl - INFO - Epoch [33][1100/2353] lr: 2.222e-02, eta: 1 day, 9:04:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9669, loss_cls: 3.2197, loss: 3.2197 +2025-06-03 07:09:58,036 - pyskl - INFO - Epoch [33][1200/2353] lr: 2.221e-02, eta: 1 day, 9:04:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9762, loss_cls: 3.2187, loss: 3.2187 +2025-06-03 07:10:41,142 - pyskl - INFO - Epoch [33][1300/2353] lr: 2.221e-02, eta: 1 day, 9:03:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9762, loss_cls: 3.1045, loss: 3.1045 +2025-06-03 07:11:24,173 - pyskl - INFO - Epoch [33][1400/2353] lr: 2.220e-02, eta: 1 day, 9:02:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9738, loss_cls: 3.1026, loss: 3.1026 +2025-06-03 07:12:07,289 - pyskl - INFO - Epoch [33][1500/2353] lr: 2.219e-02, eta: 1 day, 9:01:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9719, loss_cls: 3.0032, loss: 3.0032 +2025-06-03 07:12:50,434 - pyskl - INFO - Epoch [33][1600/2353] lr: 2.218e-02, eta: 1 day, 9:01:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9731, loss_cls: 3.0488, loss: 3.0488 +2025-06-03 07:13:33,585 - pyskl - INFO - Epoch [33][1700/2353] lr: 2.218e-02, eta: 1 day, 9:00:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9762, loss_cls: 3.1181, loss: 3.1181 +2025-06-03 07:14:16,708 - pyskl - INFO - Epoch [33][1800/2353] lr: 2.217e-02, eta: 1 day, 8:59:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9744, loss_cls: 3.1258, loss: 3.1258 +2025-06-03 07:14:59,878 - pyskl - INFO - Epoch [33][1900/2353] lr: 2.216e-02, eta: 1 day, 8:59:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9706, loss_cls: 3.1885, loss: 3.1885 +2025-06-03 07:15:42,953 - pyskl - INFO - Epoch [33][2000/2353] lr: 2.216e-02, eta: 1 day, 8:58:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9769, loss_cls: 3.1250, loss: 3.1250 +2025-06-03 07:16:26,187 - pyskl - INFO - Epoch [33][2100/2353] lr: 2.215e-02, eta: 1 day, 8:57:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9738, loss_cls: 3.2614, loss: 3.2614 +2025-06-03 07:17:09,356 - pyskl - INFO - Epoch [33][2200/2353] lr: 2.214e-02, eta: 1 day, 8:56:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9756, loss_cls: 3.0603, loss: 3.0603 +2025-06-03 07:17:52,449 - pyskl - INFO - Epoch [33][2300/2353] lr: 2.214e-02, eta: 1 day, 8:56:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9738, loss_cls: 3.1489, loss: 3.1489 +2025-06-03 07:18:15,886 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-06-03 07:19:41,342 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:19:41,417 - pyskl - INFO - +top1_acc 0.8600 +top5_acc 0.9857 +2025-06-03 07:19:41,421 - pyskl - INFO - Epoch(val) [33][1184] top1_acc: 0.8600, top5_acc: 0.9857 +2025-06-03 07:20:45,060 - pyskl - INFO - Epoch [34][100/2353] lr: 2.212e-02, eta: 1 day, 8:54:56, time: 0.636, data_time: 0.206, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9712, loss_cls: 3.2032, loss: 3.2032 +2025-06-03 07:21:28,426 - pyskl - INFO - Epoch [34][200/2353] lr: 2.212e-02, eta: 1 day, 8:54:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9731, loss_cls: 3.1085, loss: 3.1085 +2025-06-03 07:22:11,546 - pyskl - INFO - Epoch [34][300/2353] lr: 2.211e-02, eta: 1 day, 8:53:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9762, loss_cls: 3.0239, loss: 3.0239 +2025-06-03 07:22:54,625 - pyskl - INFO - Epoch [34][400/2353] lr: 2.210e-02, eta: 1 day, 8:52:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9744, loss_cls: 3.1562, loss: 3.1562 +2025-06-03 07:23:37,750 - pyskl - INFO - Epoch [34][500/2353] lr: 2.210e-02, eta: 1 day, 8:52:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9731, loss_cls: 3.1358, loss: 3.1358 +2025-06-03 07:24:20,861 - pyskl - INFO - Epoch [34][600/2353] lr: 2.209e-02, eta: 1 day, 8:51:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9694, loss_cls: 3.1658, loss: 3.1658 +2025-06-03 07:25:03,967 - pyskl - INFO - Epoch [34][700/2353] lr: 2.208e-02, eta: 1 day, 8:50:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9694, loss_cls: 3.2183, loss: 3.2183 +2025-06-03 07:25:47,018 - pyskl - INFO - Epoch [34][800/2353] lr: 2.207e-02, eta: 1 day, 8:49:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9756, loss_cls: 2.9985, loss: 2.9985 +2025-06-03 07:26:30,146 - pyskl - INFO - Epoch [34][900/2353] lr: 2.207e-02, eta: 1 day, 8:49:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9656, loss_cls: 3.1026, loss: 3.1026 +2025-06-03 07:27:13,118 - pyskl - INFO - Epoch [34][1000/2353] lr: 2.206e-02, eta: 1 day, 8:48:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9725, loss_cls: 3.0224, loss: 3.0224 +2025-06-03 07:27:56,246 - pyskl - INFO - Epoch [34][1100/2353] lr: 2.205e-02, eta: 1 day, 8:47:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9781, loss_cls: 3.0275, loss: 3.0275 +2025-06-03 07:28:39,337 - pyskl - INFO - Epoch [34][1200/2353] lr: 2.205e-02, eta: 1 day, 8:47:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9762, loss_cls: 3.1884, loss: 3.1884 +2025-06-03 07:29:22,501 - pyskl - INFO - Epoch [34][1300/2353] lr: 2.204e-02, eta: 1 day, 8:46:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9669, loss_cls: 3.2319, loss: 3.2319 +2025-06-03 07:30:05,544 - pyskl - INFO - Epoch [34][1400/2353] lr: 2.203e-02, eta: 1 day, 8:45:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9756, loss_cls: 3.1357, loss: 3.1357 +2025-06-03 07:30:48,477 - pyskl - INFO - Epoch [34][1500/2353] lr: 2.202e-02, eta: 1 day, 8:44:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9756, loss_cls: 3.0301, loss: 3.0301 +2025-06-03 07:31:31,480 - pyskl - INFO - Epoch [34][1600/2353] lr: 2.202e-02, eta: 1 day, 8:44:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9806, loss_cls: 3.0314, loss: 3.0314 +2025-06-03 07:32:14,554 - pyskl - INFO - Epoch [34][1700/2353] lr: 2.201e-02, eta: 1 day, 8:43:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9719, loss_cls: 3.1615, loss: 3.1615 +2025-06-03 07:32:57,577 - pyskl - INFO - Epoch [34][1800/2353] lr: 2.200e-02, eta: 1 day, 8:42:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9706, loss_cls: 3.1128, loss: 3.1128 +2025-06-03 07:33:40,557 - pyskl - INFO - Epoch [34][1900/2353] lr: 2.200e-02, eta: 1 day, 8:42:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9738, loss_cls: 3.1264, loss: 3.1264 +2025-06-03 07:34:23,659 - pyskl - INFO - Epoch [34][2000/2353] lr: 2.199e-02, eta: 1 day, 8:41:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9725, loss_cls: 3.1476, loss: 3.1476 +2025-06-03 07:35:06,855 - pyskl - INFO - Epoch [34][2100/2353] lr: 2.198e-02, eta: 1 day, 8:40:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9750, loss_cls: 3.1347, loss: 3.1347 +2025-06-03 07:35:49,927 - pyskl - INFO - Epoch [34][2200/2353] lr: 2.197e-02, eta: 1 day, 8:39:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9769, loss_cls: 3.1458, loss: 3.1458 +2025-06-03 07:36:32,983 - pyskl - INFO - Epoch [34][2300/2353] lr: 2.197e-02, eta: 1 day, 8:39:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9619, loss_cls: 3.2937, loss: 3.2937 +2025-06-03 07:36:56,259 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-06-03 07:38:21,578 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:38:21,653 - pyskl - INFO - +top1_acc 0.8707 +top5_acc 0.9876 +2025-06-03 07:38:21,656 - pyskl - INFO - Epoch(val) [34][1184] top1_acc: 0.8707, top5_acc: 0.9876 +2025-06-03 07:39:24,955 - pyskl - INFO - Epoch [35][100/2353] lr: 2.196e-02, eta: 1 day, 8:37:57, time: 0.633, data_time: 0.203, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9756, loss_cls: 3.1309, loss: 3.1309 +2025-06-03 07:40:08,031 - pyskl - INFO - Epoch [35][200/2353] lr: 2.195e-02, eta: 1 day, 8:37:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9719, loss_cls: 2.9860, loss: 2.9860 +2025-06-03 07:40:51,070 - pyskl - INFO - Epoch [35][300/2353] lr: 2.194e-02, eta: 1 day, 8:36:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9706, loss_cls: 3.0442, loss: 3.0442 +2025-06-03 07:41:33,996 - pyskl - INFO - Epoch [35][400/2353] lr: 2.193e-02, eta: 1 day, 8:35:47, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9700, loss_cls: 3.0818, loss: 3.0818 +2025-06-03 07:42:17,126 - pyskl - INFO - Epoch [35][500/2353] lr: 2.193e-02, eta: 1 day, 8:35:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9731, loss_cls: 3.1638, loss: 3.1638 +2025-06-03 07:43:00,223 - pyskl - INFO - Epoch [35][600/2353] lr: 2.192e-02, eta: 1 day, 8:34:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9769, loss_cls: 3.1765, loss: 3.1765 +2025-06-03 07:43:43,316 - pyskl - INFO - Epoch [35][700/2353] lr: 2.191e-02, eta: 1 day, 8:33:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9744, loss_cls: 3.2543, loss: 3.2543 +2025-06-03 07:44:26,450 - pyskl - INFO - Epoch [35][800/2353] lr: 2.190e-02, eta: 1 day, 8:32:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9750, loss_cls: 3.1168, loss: 3.1168 +2025-06-03 07:45:09,568 - pyskl - INFO - Epoch [35][900/2353] lr: 2.190e-02, eta: 1 day, 8:32:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9756, loss_cls: 3.1506, loss: 3.1506 +2025-06-03 07:45:52,766 - pyskl - INFO - Epoch [35][1000/2353] lr: 2.189e-02, eta: 1 day, 8:31:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9775, loss_cls: 3.1231, loss: 3.1231 +2025-06-03 07:46:35,798 - pyskl - INFO - Epoch [35][1100/2353] lr: 2.188e-02, eta: 1 day, 8:30:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9756, loss_cls: 3.1108, loss: 3.1108 +2025-06-03 07:47:18,831 - pyskl - INFO - Epoch [35][1200/2353] lr: 2.187e-02, eta: 1 day, 8:30:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9731, loss_cls: 3.1382, loss: 3.1382 +2025-06-03 07:48:01,869 - pyskl - INFO - Epoch [35][1300/2353] lr: 2.187e-02, eta: 1 day, 8:29:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9756, loss_cls: 3.1151, loss: 3.1151 +2025-06-03 07:48:44,899 - pyskl - INFO - Epoch [35][1400/2353] lr: 2.186e-02, eta: 1 day, 8:28:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9788, loss_cls: 3.1105, loss: 3.1105 +2025-06-03 07:49:28,003 - pyskl - INFO - Epoch [35][1500/2353] lr: 2.185e-02, eta: 1 day, 8:27:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9744, loss_cls: 3.1391, loss: 3.1391 +2025-06-03 07:50:11,106 - pyskl - INFO - Epoch [35][1600/2353] lr: 2.185e-02, eta: 1 day, 8:27:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9650, loss_cls: 3.2174, loss: 3.2174 +2025-06-03 07:50:54,309 - pyskl - INFO - Epoch [35][1700/2353] lr: 2.184e-02, eta: 1 day, 8:26:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9738, loss_cls: 3.1488, loss: 3.1488 +2025-06-03 07:51:37,406 - pyskl - INFO - Epoch [35][1800/2353] lr: 2.183e-02, eta: 1 day, 8:25:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9688, loss_cls: 3.0968, loss: 3.0968 +2025-06-03 07:52:20,534 - pyskl - INFO - Epoch [35][1900/2353] lr: 2.182e-02, eta: 1 day, 8:25:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9731, loss_cls: 3.0876, loss: 3.0876 +2025-06-03 07:53:03,734 - pyskl - INFO - Epoch [35][2000/2353] lr: 2.182e-02, eta: 1 day, 8:24:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9681, loss_cls: 3.1741, loss: 3.1741 +2025-06-03 07:53:46,927 - pyskl - INFO - Epoch [35][2100/2353] lr: 2.181e-02, eta: 1 day, 8:23:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9769, loss_cls: 3.0981, loss: 3.0981 +2025-06-03 07:54:30,118 - pyskl - INFO - Epoch [35][2200/2353] lr: 2.180e-02, eta: 1 day, 8:22:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9688, loss_cls: 3.2381, loss: 3.2381 +2025-06-03 07:55:13,250 - pyskl - INFO - Epoch [35][2300/2353] lr: 2.179e-02, eta: 1 day, 8:22:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9719, loss_cls: 3.0942, loss: 3.0942 +2025-06-03 07:55:36,733 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-06-03 08:04:43,814 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:04:43,887 - pyskl - INFO - +top1_acc 0.8724 +top5_acc 0.9883 +2025-06-03 08:04:43,891 - pyskl - INFO - Epoch(val) [35][1184] top1_acc: 0.8724, top5_acc: 0.9883 +2025-06-03 08:05:47,551 - pyskl - INFO - Epoch [36][100/2353] lr: 2.178e-02, eta: 1 day, 8:21:00, time: 0.637, data_time: 0.206, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9762, loss_cls: 3.0202, loss: 3.0202 +2025-06-03 08:06:30,686 - pyskl - INFO - Epoch [36][200/2353] lr: 2.177e-02, eta: 1 day, 8:20:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9756, loss_cls: 3.0761, loss: 3.0761 +2025-06-03 08:07:13,910 - pyskl - INFO - Epoch [36][300/2353] lr: 2.177e-02, eta: 1 day, 8:19:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9769, loss_cls: 3.1861, loss: 3.1861 +2025-06-03 08:07:57,150 - pyskl - INFO - Epoch [36][400/2353] lr: 2.176e-02, eta: 1 day, 8:18:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9712, loss_cls: 3.2090, loss: 3.2090 +2025-06-03 08:08:40,343 - pyskl - INFO - Epoch [36][500/2353] lr: 2.175e-02, eta: 1 day, 8:18:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9762, loss_cls: 2.9792, loss: 2.9792 +2025-06-03 08:09:23,586 - pyskl - INFO - Epoch [36][600/2353] lr: 2.174e-02, eta: 1 day, 8:17:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9806, loss_cls: 2.9491, loss: 2.9491 +2025-06-03 08:10:06,721 - pyskl - INFO - Epoch [36][700/2353] lr: 2.174e-02, eta: 1 day, 8:16:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9681, loss_cls: 3.1496, loss: 3.1496 +2025-06-03 08:10:49,874 - pyskl - INFO - Epoch [36][800/2353] lr: 2.173e-02, eta: 1 day, 8:16:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9762, loss_cls: 3.0877, loss: 3.0877 +2025-06-03 08:11:33,131 - pyskl - INFO - Epoch [36][900/2353] lr: 2.172e-02, eta: 1 day, 8:15:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9738, loss_cls: 3.0263, loss: 3.0263 +2025-06-03 08:12:16,351 - pyskl - INFO - Epoch [36][1000/2353] lr: 2.171e-02, eta: 1 day, 8:14:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9744, loss_cls: 3.0290, loss: 3.0290 +2025-06-03 08:12:59,565 - pyskl - INFO - Epoch [36][1100/2353] lr: 2.171e-02, eta: 1 day, 8:13:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9719, loss_cls: 3.2186, loss: 3.2186 +2025-06-03 08:13:42,694 - pyskl - INFO - Epoch [36][1200/2353] lr: 2.170e-02, eta: 1 day, 8:13:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9688, loss_cls: 3.2056, loss: 3.2056 +2025-06-03 08:14:25,793 - pyskl - INFO - Epoch [36][1300/2353] lr: 2.169e-02, eta: 1 day, 8:12:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9700, loss_cls: 3.1295, loss: 3.1295 +2025-06-03 08:15:08,919 - pyskl - INFO - Epoch [36][1400/2353] lr: 2.168e-02, eta: 1 day, 8:11:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9731, loss_cls: 3.0896, loss: 3.0896 +2025-06-03 08:15:52,109 - pyskl - INFO - Epoch [36][1500/2353] lr: 2.168e-02, eta: 1 day, 8:11:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9669, loss_cls: 3.1148, loss: 3.1148 +2025-06-03 08:16:35,253 - pyskl - INFO - Epoch [36][1600/2353] lr: 2.167e-02, eta: 1 day, 8:10:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9750, loss_cls: 3.0420, loss: 3.0420 +2025-06-03 08:17:18,355 - pyskl - INFO - Epoch [36][1700/2353] lr: 2.166e-02, eta: 1 day, 8:09:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9731, loss_cls: 3.0290, loss: 3.0290 +2025-06-03 08:18:01,438 - pyskl - INFO - Epoch [36][1800/2353] lr: 2.165e-02, eta: 1 day, 8:08:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9750, loss_cls: 3.1217, loss: 3.1217 +2025-06-03 08:18:44,517 - pyskl - INFO - Epoch [36][1900/2353] lr: 2.165e-02, eta: 1 day, 8:08:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9762, loss_cls: 3.0743, loss: 3.0743 +2025-06-03 08:19:27,591 - pyskl - INFO - Epoch [36][2000/2353] lr: 2.164e-02, eta: 1 day, 8:07:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9781, loss_cls: 3.0238, loss: 3.0238 +2025-06-03 08:20:10,616 - pyskl - INFO - Epoch [36][2100/2353] lr: 2.163e-02, eta: 1 day, 8:06:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9725, loss_cls: 3.0999, loss: 3.0999 +2025-06-03 08:20:53,693 - pyskl - INFO - Epoch [36][2200/2353] lr: 2.162e-02, eta: 1 day, 8:06:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9725, loss_cls: 3.2233, loss: 3.2233 +2025-06-03 08:21:36,874 - pyskl - INFO - Epoch [36][2300/2353] lr: 2.162e-02, eta: 1 day, 8:05:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9731, loss_cls: 3.1447, loss: 3.1447 +2025-06-03 08:22:00,327 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-06-03 08:23:25,895 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:23:25,972 - pyskl - INFO - +top1_acc 0.8532 +top5_acc 0.9877 +2025-06-03 08:23:25,975 - pyskl - INFO - Epoch(val) [36][1184] top1_acc: 0.8532, top5_acc: 0.9877 +2025-06-03 08:24:30,358 - pyskl - INFO - Epoch [37][100/2353] lr: 2.160e-02, eta: 1 day, 8:04:09, time: 0.644, data_time: 0.210, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9750, loss_cls: 2.9476, loss: 2.9476 +2025-06-03 08:25:13,614 - pyskl - INFO - Epoch [37][200/2353] lr: 2.160e-02, eta: 1 day, 8:03:26, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9694, loss_cls: 3.1889, loss: 3.1889 +2025-06-03 08:25:56,802 - pyskl - INFO - Epoch [37][300/2353] lr: 2.159e-02, eta: 1 day, 8:02:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9762, loss_cls: 3.0763, loss: 3.0763 +2025-06-03 08:26:40,008 - pyskl - INFO - Epoch [37][400/2353] lr: 2.158e-02, eta: 1 day, 8:02:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9725, loss_cls: 3.0783, loss: 3.0783 +2025-06-03 08:27:23,164 - pyskl - INFO - Epoch [37][500/2353] lr: 2.157e-02, eta: 1 day, 8:01:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9744, loss_cls: 3.1696, loss: 3.1696 +2025-06-03 08:28:06,295 - pyskl - INFO - Epoch [37][600/2353] lr: 2.157e-02, eta: 1 day, 8:00:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9738, loss_cls: 3.1060, loss: 3.1060 +2025-06-03 08:28:49,414 - pyskl - INFO - Epoch [37][700/2353] lr: 2.156e-02, eta: 1 day, 7:59:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9769, loss_cls: 3.1500, loss: 3.1500 +2025-06-03 08:29:32,577 - pyskl - INFO - Epoch [37][800/2353] lr: 2.155e-02, eta: 1 day, 7:59:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9769, loss_cls: 3.0451, loss: 3.0451 +2025-06-03 08:30:15,933 - pyskl - INFO - Epoch [37][900/2353] lr: 2.154e-02, eta: 1 day, 7:58:28, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9788, loss_cls: 3.1321, loss: 3.1321 +2025-06-03 08:30:59,145 - pyskl - INFO - Epoch [37][1000/2353] lr: 2.154e-02, eta: 1 day, 7:57:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9725, loss_cls: 3.1311, loss: 3.1311 +2025-06-03 08:31:42,301 - pyskl - INFO - Epoch [37][1100/2353] lr: 2.153e-02, eta: 1 day, 7:57:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9731, loss_cls: 3.1031, loss: 3.1031 +2025-06-03 08:32:25,333 - pyskl - INFO - Epoch [37][1200/2353] lr: 2.152e-02, eta: 1 day, 7:56:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9750, loss_cls: 3.1960, loss: 3.1960 +2025-06-03 08:33:08,296 - pyskl - INFO - Epoch [37][1300/2353] lr: 2.151e-02, eta: 1 day, 7:55:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9762, loss_cls: 3.0732, loss: 3.0732 +2025-06-03 08:33:51,371 - pyskl - INFO - Epoch [37][1400/2353] lr: 2.150e-02, eta: 1 day, 7:54:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9775, loss_cls: 3.0571, loss: 3.0571 +2025-06-03 08:34:34,337 - pyskl - INFO - Epoch [37][1500/2353] lr: 2.150e-02, eta: 1 day, 7:54:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9744, loss_cls: 3.0938, loss: 3.0938 +2025-06-03 08:35:17,341 - pyskl - INFO - Epoch [37][1600/2353] lr: 2.149e-02, eta: 1 day, 7:53:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9762, loss_cls: 3.0452, loss: 3.0452 +2025-06-03 08:36:00,372 - pyskl - INFO - Epoch [37][1700/2353] lr: 2.148e-02, eta: 1 day, 7:52:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9775, loss_cls: 2.9992, loss: 2.9992 +2025-06-03 08:36:43,422 - pyskl - INFO - Epoch [37][1800/2353] lr: 2.147e-02, eta: 1 day, 7:52:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9750, loss_cls: 3.1491, loss: 3.1491 +2025-06-03 08:37:26,473 - pyskl - INFO - Epoch [37][1900/2353] lr: 2.147e-02, eta: 1 day, 7:51:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9731, loss_cls: 3.1058, loss: 3.1058 +2025-06-03 08:38:09,519 - pyskl - INFO - Epoch [37][2000/2353] lr: 2.146e-02, eta: 1 day, 7:50:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9688, loss_cls: 3.0057, loss: 3.0057 +2025-06-03 08:38:52,553 - pyskl - INFO - Epoch [37][2100/2353] lr: 2.145e-02, eta: 1 day, 7:49:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9694, loss_cls: 3.0380, loss: 3.0380 +2025-06-03 08:39:35,633 - pyskl - INFO - Epoch [37][2200/2353] lr: 2.144e-02, eta: 1 day, 7:49:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9762, loss_cls: 3.0757, loss: 3.0757 +2025-06-03 08:40:18,759 - pyskl - INFO - Epoch [37][2300/2353] lr: 2.144e-02, eta: 1 day, 7:48:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9769, loss_cls: 3.1542, loss: 3.1542 +2025-06-03 08:40:42,133 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-06-03 08:42:07,165 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:42:07,240 - pyskl - INFO - +top1_acc 0.8759 +top5_acc 0.9877 +2025-06-03 08:42:07,243 - pyskl - INFO - Epoch(val) [37][1184] top1_acc: 0.8759, top5_acc: 0.9877 +2025-06-03 08:43:11,011 - pyskl - INFO - Epoch [38][100/2353] lr: 2.142e-02, eta: 1 day, 7:47:13, time: 0.638, data_time: 0.203, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9788, loss_cls: 3.0254, loss: 3.0254 +2025-06-03 08:43:54,166 - pyskl - INFO - Epoch [38][200/2353] lr: 2.142e-02, eta: 1 day, 7:46:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9812, loss_cls: 2.9818, loss: 2.9818 +2025-06-03 08:44:37,308 - pyskl - INFO - Epoch [38][300/2353] lr: 2.141e-02, eta: 1 day, 7:45:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9788, loss_cls: 3.0202, loss: 3.0202 +2025-06-03 08:45:20,429 - pyskl - INFO - Epoch [38][400/2353] lr: 2.140e-02, eta: 1 day, 7:45:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9812, loss_cls: 2.9866, loss: 2.9866 +2025-06-03 08:46:03,583 - pyskl - INFO - Epoch [38][500/2353] lr: 2.139e-02, eta: 1 day, 7:44:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9750, loss_cls: 3.0174, loss: 3.0174 +2025-06-03 08:46:46,682 - pyskl - INFO - Epoch [38][600/2353] lr: 2.138e-02, eta: 1 day, 7:43:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9731, loss_cls: 3.1322, loss: 3.1322 +2025-06-03 08:47:29,777 - pyskl - INFO - Epoch [38][700/2353] lr: 2.138e-02, eta: 1 day, 7:42:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9781, loss_cls: 3.0034, loss: 3.0034 +2025-06-03 08:48:12,939 - pyskl - INFO - Epoch [38][800/2353] lr: 2.137e-02, eta: 1 day, 7:42:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9750, loss_cls: 2.9677, loss: 2.9677 +2025-06-03 08:48:56,175 - pyskl - INFO - Epoch [38][900/2353] lr: 2.136e-02, eta: 1 day, 7:41:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9788, loss_cls: 3.0861, loss: 3.0861 +2025-06-03 08:49:39,397 - pyskl - INFO - Epoch [38][1000/2353] lr: 2.135e-02, eta: 1 day, 7:40:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9700, loss_cls: 3.1408, loss: 3.1408 +2025-06-03 08:50:22,663 - pyskl - INFO - Epoch [38][1100/2353] lr: 2.134e-02, eta: 1 day, 7:40:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9738, loss_cls: 3.0664, loss: 3.0664 +2025-06-03 08:51:06,045 - pyskl - INFO - Epoch [38][1200/2353] lr: 2.134e-02, eta: 1 day, 7:39:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9788, loss_cls: 3.1376, loss: 3.1376 +2025-06-03 08:51:49,230 - pyskl - INFO - Epoch [38][1300/2353] lr: 2.133e-02, eta: 1 day, 7:38:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9719, loss_cls: 3.2152, loss: 3.2152 +2025-06-03 08:52:32,295 - pyskl - INFO - Epoch [38][1400/2353] lr: 2.132e-02, eta: 1 day, 7:37:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9788, loss_cls: 3.1727, loss: 3.1727 +2025-06-03 08:53:15,454 - pyskl - INFO - Epoch [38][1500/2353] lr: 2.131e-02, eta: 1 day, 7:37:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9688, loss_cls: 3.1485, loss: 3.1485 +2025-06-03 08:53:58,594 - pyskl - INFO - Epoch [38][1600/2353] lr: 2.131e-02, eta: 1 day, 7:36:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9762, loss_cls: 3.0931, loss: 3.0931 +2025-06-03 08:54:41,689 - pyskl - INFO - Epoch [38][1700/2353] lr: 2.130e-02, eta: 1 day, 7:35:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9694, loss_cls: 3.0498, loss: 3.0498 +2025-06-03 08:55:24,806 - pyskl - INFO - Epoch [38][1800/2353] lr: 2.129e-02, eta: 1 day, 7:35:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9675, loss_cls: 3.1369, loss: 3.1369 +2025-06-03 08:56:08,051 - pyskl - INFO - Epoch [38][1900/2353] lr: 2.128e-02, eta: 1 day, 7:34:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9775, loss_cls: 3.0818, loss: 3.0818 +2025-06-03 08:56:51,164 - pyskl - INFO - Epoch [38][2000/2353] lr: 2.127e-02, eta: 1 day, 7:33:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9769, loss_cls: 3.1148, loss: 3.1148 +2025-06-03 08:57:34,223 - pyskl - INFO - Epoch [38][2100/2353] lr: 2.127e-02, eta: 1 day, 7:32:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9800, loss_cls: 2.9400, loss: 2.9400 +2025-06-03 08:58:17,364 - pyskl - INFO - Epoch [38][2200/2353] lr: 2.126e-02, eta: 1 day, 7:32:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9625, loss_cls: 3.1357, loss: 3.1357 +2025-06-03 08:59:00,426 - pyskl - INFO - Epoch [38][2300/2353] lr: 2.125e-02, eta: 1 day, 7:31:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9769, loss_cls: 3.0870, loss: 3.0870 +2025-06-03 08:59:23,850 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-06-03 09:00:49,177 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:00:49,252 - pyskl - INFO - +top1_acc 0.8819 +top5_acc 0.9897 +2025-06-03 09:00:49,306 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_31.pth was removed +2025-06-03 09:00:50,408 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_38.pth. +2025-06-03 09:00:50,408 - pyskl - INFO - Best top1_acc is 0.8819 at 38 epoch. +2025-06-03 09:00:50,411 - pyskl - INFO - Epoch(val) [38][1184] top1_acc: 0.8819, top5_acc: 0.9897 +2025-06-03 09:01:54,413 - pyskl - INFO - Epoch [39][100/2353] lr: 2.124e-02, eta: 1 day, 7:30:21, time: 0.640, data_time: 0.208, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9731, loss_cls: 3.0199, loss: 3.0199 +2025-06-03 09:02:37,608 - pyskl - INFO - Epoch [39][200/2353] lr: 2.123e-02, eta: 1 day, 7:29:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9800, loss_cls: 3.0176, loss: 3.0176 +2025-06-03 09:03:20,790 - pyskl - INFO - Epoch [39][300/2353] lr: 2.122e-02, eta: 1 day, 7:28:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9756, loss_cls: 2.9815, loss: 2.9815 +2025-06-03 09:04:03,955 - pyskl - INFO - Epoch [39][400/2353] lr: 2.121e-02, eta: 1 day, 7:28:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9756, loss_cls: 3.1544, loss: 3.1544 +2025-06-03 09:04:47,078 - pyskl - INFO - Epoch [39][500/2353] lr: 2.121e-02, eta: 1 day, 7:27:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9769, loss_cls: 3.0077, loss: 3.0077 +2025-06-03 09:05:30,191 - pyskl - INFO - Epoch [39][600/2353] lr: 2.120e-02, eta: 1 day, 7:26:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9788, loss_cls: 3.0694, loss: 3.0694 +2025-06-03 09:06:13,445 - pyskl - INFO - Epoch [39][700/2353] lr: 2.119e-02, eta: 1 day, 7:26:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9644, loss_cls: 3.1957, loss: 3.1957 +2025-06-03 09:06:56,612 - pyskl - INFO - Epoch [39][800/2353] lr: 2.118e-02, eta: 1 day, 7:25:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9788, loss_cls: 3.0240, loss: 3.0240 +2025-06-03 09:07:39,863 - pyskl - INFO - Epoch [39][900/2353] lr: 2.117e-02, eta: 1 day, 7:24:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9731, loss_cls: 3.1186, loss: 3.1186 +2025-06-03 09:08:23,053 - pyskl - INFO - Epoch [39][1000/2353] lr: 2.117e-02, eta: 1 day, 7:23:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9794, loss_cls: 3.0836, loss: 3.0836 +2025-06-03 09:09:06,292 - pyskl - INFO - Epoch [39][1100/2353] lr: 2.116e-02, eta: 1 day, 7:23:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9744, loss_cls: 3.1091, loss: 3.1091 +2025-06-03 09:09:49,359 - pyskl - INFO - Epoch [39][1200/2353] lr: 2.115e-02, eta: 1 day, 7:22:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9769, loss_cls: 3.1051, loss: 3.1051 +2025-06-03 09:10:32,426 - pyskl - INFO - Epoch [39][1300/2353] lr: 2.114e-02, eta: 1 day, 7:21:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9794, loss_cls: 3.0292, loss: 3.0292 +2025-06-03 09:11:15,482 - pyskl - INFO - Epoch [39][1400/2353] lr: 2.113e-02, eta: 1 day, 7:21:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9812, loss_cls: 3.0382, loss: 3.0382 +2025-06-03 09:11:58,674 - pyskl - INFO - Epoch [39][1500/2353] lr: 2.113e-02, eta: 1 day, 7:20:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9788, loss_cls: 2.9761, loss: 2.9761 +2025-06-03 09:12:41,937 - pyskl - INFO - Epoch [39][1600/2353] lr: 2.112e-02, eta: 1 day, 7:19:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9731, loss_cls: 3.0145, loss: 3.0145 +2025-06-03 09:13:25,157 - pyskl - INFO - Epoch [39][1700/2353] lr: 2.111e-02, eta: 1 day, 7:18:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9738, loss_cls: 3.1779, loss: 3.1779 +2025-06-03 09:14:08,270 - pyskl - INFO - Epoch [39][1800/2353] lr: 2.110e-02, eta: 1 day, 7:18:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9731, loss_cls: 3.1426, loss: 3.1426 +2025-06-03 09:14:51,539 - pyskl - INFO - Epoch [39][1900/2353] lr: 2.109e-02, eta: 1 day, 7:17:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9637, loss_cls: 3.1745, loss: 3.1745 +2025-06-03 09:15:34,697 - pyskl - INFO - Epoch [39][2000/2353] lr: 2.109e-02, eta: 1 day, 7:16:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9681, loss_cls: 3.1442, loss: 3.1442 +2025-06-03 09:16:17,917 - pyskl - INFO - Epoch [39][2100/2353] lr: 2.108e-02, eta: 1 day, 7:16:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9731, loss_cls: 3.0679, loss: 3.0679 +2025-06-03 09:17:01,046 - pyskl - INFO - Epoch [39][2200/2353] lr: 2.107e-02, eta: 1 day, 7:15:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9762, loss_cls: 3.0759, loss: 3.0759 +2025-06-03 09:17:44,230 - pyskl - INFO - Epoch [39][2300/2353] lr: 2.106e-02, eta: 1 day, 7:14:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9788, loss_cls: 3.0472, loss: 3.0472 +2025-06-03 09:18:07,702 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-06-03 09:19:33,005 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:19:33,080 - pyskl - INFO - +top1_acc 0.8595 +top5_acc 0.9868 +2025-06-03 09:19:33,083 - pyskl - INFO - Epoch(val) [39][1184] top1_acc: 0.8595, top5_acc: 0.9868 +2025-06-03 09:20:36,794 - pyskl - INFO - Epoch [40][100/2353] lr: 2.105e-02, eta: 1 day, 7:13:29, time: 0.637, data_time: 0.204, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9819, loss_cls: 2.9600, loss: 2.9600 +2025-06-03 09:21:19,985 - pyskl - INFO - Epoch [40][200/2353] lr: 2.104e-02, eta: 1 day, 7:12:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9750, loss_cls: 2.9580, loss: 2.9580 +2025-06-03 09:22:03,256 - pyskl - INFO - Epoch [40][300/2353] lr: 2.103e-02, eta: 1 day, 7:12:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9831, loss_cls: 3.0475, loss: 3.0475 +2025-06-03 09:22:46,370 - pyskl - INFO - Epoch [40][400/2353] lr: 2.102e-02, eta: 1 day, 7:11:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9775, loss_cls: 2.9965, loss: 2.9965 +2025-06-03 09:23:29,496 - pyskl - INFO - Epoch [40][500/2353] lr: 2.102e-02, eta: 1 day, 7:10:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9762, loss_cls: 2.9393, loss: 2.9393 +2025-06-03 09:24:12,705 - pyskl - INFO - Epoch [40][600/2353] lr: 2.101e-02, eta: 1 day, 7:09:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9769, loss_cls: 3.0675, loss: 3.0675 +2025-06-03 09:24:55,790 - pyskl - INFO - Epoch [40][700/2353] lr: 2.100e-02, eta: 1 day, 7:09:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9712, loss_cls: 2.9760, loss: 2.9760 +2025-06-03 09:25:38,954 - pyskl - INFO - Epoch [40][800/2353] lr: 2.099e-02, eta: 1 day, 7:08:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9750, loss_cls: 3.0245, loss: 3.0245 +2025-06-03 09:26:22,125 - pyskl - INFO - Epoch [40][900/2353] lr: 2.098e-02, eta: 1 day, 7:07:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9788, loss_cls: 2.9568, loss: 2.9568 +2025-06-03 09:27:05,345 - pyskl - INFO - Epoch [40][1000/2353] lr: 2.098e-02, eta: 1 day, 7:07:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9706, loss_cls: 3.0519, loss: 3.0519 +2025-06-03 09:27:48,517 - pyskl - INFO - Epoch [40][1100/2353] lr: 2.097e-02, eta: 1 day, 7:06:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9706, loss_cls: 3.1344, loss: 3.1344 +2025-06-03 09:28:31,626 - pyskl - INFO - Epoch [40][1200/2353] lr: 2.096e-02, eta: 1 day, 7:05:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9819, loss_cls: 3.0305, loss: 3.0305 +2025-06-03 09:29:14,613 - pyskl - INFO - Epoch [40][1300/2353] lr: 2.095e-02, eta: 1 day, 7:04:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9756, loss_cls: 3.0240, loss: 3.0240 +2025-06-03 09:29:57,582 - pyskl - INFO - Epoch [40][1400/2353] lr: 2.094e-02, eta: 1 day, 7:04:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9719, loss_cls: 3.0530, loss: 3.0530 +2025-06-03 09:30:40,686 - pyskl - INFO - Epoch [40][1500/2353] lr: 2.093e-02, eta: 1 day, 7:03:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9706, loss_cls: 3.1671, loss: 3.1671 +2025-06-03 09:31:23,758 - pyskl - INFO - Epoch [40][1600/2353] lr: 2.093e-02, eta: 1 day, 7:02:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9769, loss_cls: 2.9901, loss: 2.9901 +2025-06-03 09:32:06,851 - pyskl - INFO - Epoch [40][1700/2353] lr: 2.092e-02, eta: 1 day, 7:02:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9750, loss_cls: 3.0740, loss: 3.0740 +2025-06-03 09:32:49,971 - pyskl - INFO - Epoch [40][1800/2353] lr: 2.091e-02, eta: 1 day, 7:01:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9688, loss_cls: 3.1320, loss: 3.1320 +2025-06-03 09:33:33,202 - pyskl - INFO - Epoch [40][1900/2353] lr: 2.090e-02, eta: 1 day, 7:00:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9712, loss_cls: 3.1193, loss: 3.1193 +2025-06-03 09:34:16,233 - pyskl - INFO - Epoch [40][2000/2353] lr: 2.089e-02, eta: 1 day, 6:59:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9775, loss_cls: 3.0332, loss: 3.0332 +2025-06-03 09:34:59,326 - pyskl - INFO - Epoch [40][2100/2353] lr: 2.089e-02, eta: 1 day, 6:59:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9775, loss_cls: 3.0977, loss: 3.0977 +2025-06-03 09:35:42,280 - pyskl - INFO - Epoch [40][2200/2353] lr: 2.088e-02, eta: 1 day, 6:58:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9812, loss_cls: 2.9842, loss: 2.9842 +2025-06-03 09:36:25,227 - pyskl - INFO - Epoch [40][2300/2353] lr: 2.087e-02, eta: 1 day, 6:57:45, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9738, loss_cls: 3.0902, loss: 3.0902 +2025-06-03 09:36:48,591 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-06-03 09:45:14,160 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:45:14,234 - pyskl - INFO - +top1_acc 0.8769 +top5_acc 0.9888 +2025-06-03 09:45:14,237 - pyskl - INFO - Epoch(val) [40][1184] top1_acc: 0.8769, top5_acc: 0.9888 +2025-06-03 09:46:17,926 - pyskl - INFO - Epoch [41][100/2353] lr: 2.086e-02, eta: 1 day, 6:56:33, time: 0.637, data_time: 0.206, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9812, loss_cls: 2.9156, loss: 2.9156 +2025-06-03 09:47:01,053 - pyskl - INFO - Epoch [41][200/2353] lr: 2.085e-02, eta: 1 day, 6:55:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9800, loss_cls: 2.9679, loss: 2.9679 +2025-06-03 09:47:44,211 - pyskl - INFO - Epoch [41][300/2353] lr: 2.084e-02, eta: 1 day, 6:55:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9819, loss_cls: 3.0794, loss: 3.0794 +2025-06-03 09:48:27,323 - pyskl - INFO - Epoch [41][400/2353] lr: 2.083e-02, eta: 1 day, 6:54:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9812, loss_cls: 2.9957, loss: 2.9957 +2025-06-03 09:49:10,428 - pyskl - INFO - Epoch [41][500/2353] lr: 2.082e-02, eta: 1 day, 6:53:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9838, loss_cls: 2.9949, loss: 2.9949 +2025-06-03 09:49:53,467 - pyskl - INFO - Epoch [41][600/2353] lr: 2.081e-02, eta: 1 day, 6:52:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9788, loss_cls: 3.0019, loss: 3.0019 +2025-06-03 09:50:36,511 - pyskl - INFO - Epoch [41][700/2353] lr: 2.081e-02, eta: 1 day, 6:52:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9806, loss_cls: 3.0104, loss: 3.0104 +2025-06-03 09:51:19,605 - pyskl - INFO - Epoch [41][800/2353] lr: 2.080e-02, eta: 1 day, 6:51:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9781, loss_cls: 3.0044, loss: 3.0044 +2025-06-03 09:52:02,557 - pyskl - INFO - Epoch [41][900/2353] lr: 2.079e-02, eta: 1 day, 6:50:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9775, loss_cls: 2.9213, loss: 2.9213 +2025-06-03 09:52:45,461 - pyskl - INFO - Epoch [41][1000/2353] lr: 2.078e-02, eta: 1 day, 6:50:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9775, loss_cls: 3.1493, loss: 3.1493 +2025-06-03 09:53:28,553 - pyskl - INFO - Epoch [41][1100/2353] lr: 2.077e-02, eta: 1 day, 6:49:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9806, loss_cls: 3.1595, loss: 3.1595 +2025-06-03 09:54:11,608 - pyskl - INFO - Epoch [41][1200/2353] lr: 2.076e-02, eta: 1 day, 6:48:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9750, loss_cls: 3.0347, loss: 3.0347 +2025-06-03 09:54:54,907 - pyskl - INFO - Epoch [41][1300/2353] lr: 2.076e-02, eta: 1 day, 6:47:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9775, loss_cls: 3.0225, loss: 3.0225 +2025-06-03 09:55:37,973 - pyskl - INFO - Epoch [41][1400/2353] lr: 2.075e-02, eta: 1 day, 6:47:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9762, loss_cls: 3.1351, loss: 3.1351 +2025-06-03 09:56:21,001 - pyskl - INFO - Epoch [41][1500/2353] lr: 2.074e-02, eta: 1 day, 6:46:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9731, loss_cls: 3.0971, loss: 3.0971 +2025-06-03 09:57:04,117 - pyskl - INFO - Epoch [41][1600/2353] lr: 2.073e-02, eta: 1 day, 6:45:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9738, loss_cls: 3.1038, loss: 3.1038 +2025-06-03 09:57:47,174 - pyskl - INFO - Epoch [41][1700/2353] lr: 2.072e-02, eta: 1 day, 6:45:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9725, loss_cls: 3.1309, loss: 3.1309 +2025-06-03 09:58:30,192 - pyskl - INFO - Epoch [41][1800/2353] lr: 2.071e-02, eta: 1 day, 6:44:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9825, loss_cls: 3.0398, loss: 3.0398 +2025-06-03 09:59:13,239 - pyskl - INFO - Epoch [41][1900/2353] lr: 2.071e-02, eta: 1 day, 6:43:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9838, loss_cls: 3.0492, loss: 3.0492 +2025-06-03 09:59:56,350 - pyskl - INFO - Epoch [41][2000/2353] lr: 2.070e-02, eta: 1 day, 6:42:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9725, loss_cls: 3.1125, loss: 3.1125 +2025-06-03 10:00:39,374 - pyskl - INFO - Epoch [41][2100/2353] lr: 2.069e-02, eta: 1 day, 6:42:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9769, loss_cls: 3.0804, loss: 3.0804 +2025-06-03 10:01:22,387 - pyskl - INFO - Epoch [41][2200/2353] lr: 2.068e-02, eta: 1 day, 6:41:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9725, loss_cls: 3.1515, loss: 3.1515 +2025-06-03 10:02:05,526 - pyskl - INFO - Epoch [41][2300/2353] lr: 2.067e-02, eta: 1 day, 6:40:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9719, loss_cls: 3.0975, loss: 3.0975 +2025-06-03 10:02:28,973 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-06-03 10:03:54,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:03:54,608 - pyskl - INFO - +top1_acc 0.8594 +top5_acc 0.9902 +2025-06-03 10:03:54,611 - pyskl - INFO - Epoch(val) [41][1184] top1_acc: 0.8594, top5_acc: 0.9902 +2025-06-03 10:04:58,874 - pyskl - INFO - Epoch [42][100/2353] lr: 2.066e-02, eta: 1 day, 6:39:37, time: 0.643, data_time: 0.205, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9744, loss_cls: 2.9342, loss: 2.9342 +2025-06-03 10:05:42,693 - pyskl - INFO - Epoch [42][200/2353] lr: 2.065e-02, eta: 1 day, 6:38:56, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9769, loss_cls: 3.0211, loss: 3.0211 +2025-06-03 10:06:26,281 - pyskl - INFO - Epoch [42][300/2353] lr: 2.064e-02, eta: 1 day, 6:38:14, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9806, loss_cls: 2.9819, loss: 2.9819 +2025-06-03 10:07:09,697 - pyskl - INFO - Epoch [42][400/2353] lr: 2.063e-02, eta: 1 day, 6:37:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9819, loss_cls: 2.9410, loss: 2.9410 +2025-06-03 10:07:52,857 - pyskl - INFO - Epoch [42][500/2353] lr: 2.063e-02, eta: 1 day, 6:36:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9769, loss_cls: 2.9019, loss: 2.9019 +2025-06-03 10:08:35,954 - pyskl - INFO - Epoch [42][600/2353] lr: 2.062e-02, eta: 1 day, 6:36:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9756, loss_cls: 2.9601, loss: 2.9601 +2025-06-03 10:09:19,110 - pyskl - INFO - Epoch [42][700/2353] lr: 2.061e-02, eta: 1 day, 6:35:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9825, loss_cls: 2.9232, loss: 2.9232 +2025-06-03 10:10:02,361 - pyskl - INFO - Epoch [42][800/2353] lr: 2.060e-02, eta: 1 day, 6:34:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 2.9817, loss: 2.9817 +2025-06-03 10:10:45,644 - pyskl - INFO - Epoch [42][900/2353] lr: 2.059e-02, eta: 1 day, 6:33:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9769, loss_cls: 3.1012, loss: 3.1012 +2025-06-03 10:11:28,974 - pyskl - INFO - Epoch [42][1000/2353] lr: 2.058e-02, eta: 1 day, 6:33:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9738, loss_cls: 3.2009, loss: 3.2009 +2025-06-03 10:12:12,106 - pyskl - INFO - Epoch [42][1100/2353] lr: 2.057e-02, eta: 1 day, 6:32:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9831, loss_cls: 3.0149, loss: 3.0149 +2025-06-03 10:12:55,211 - pyskl - INFO - Epoch [42][1200/2353] lr: 2.057e-02, eta: 1 day, 6:31:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9781, loss_cls: 2.9854, loss: 2.9854 +2025-06-03 10:13:38,400 - pyskl - INFO - Epoch [42][1300/2353] lr: 2.056e-02, eta: 1 day, 6:31:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9775, loss_cls: 2.9723, loss: 2.9723 +2025-06-03 10:14:21,430 - pyskl - INFO - Epoch [42][1400/2353] lr: 2.055e-02, eta: 1 day, 6:30:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9744, loss_cls: 3.0186, loss: 3.0186 +2025-06-03 10:15:04,478 - pyskl - INFO - Epoch [42][1500/2353] lr: 2.054e-02, eta: 1 day, 6:29:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9825, loss_cls: 3.0177, loss: 3.0177 +2025-06-03 10:15:47,558 - pyskl - INFO - Epoch [42][1600/2353] lr: 2.053e-02, eta: 1 day, 6:28:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9725, loss_cls: 3.1285, loss: 3.1285 +2025-06-03 10:16:30,680 - pyskl - INFO - Epoch [42][1700/2353] lr: 2.052e-02, eta: 1 day, 6:28:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9831, loss_cls: 3.0609, loss: 3.0609 +2025-06-03 10:17:13,750 - pyskl - INFO - Epoch [42][1800/2353] lr: 2.052e-02, eta: 1 day, 6:27:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9731, loss_cls: 3.1225, loss: 3.1225 +2025-06-03 10:17:56,887 - pyskl - INFO - Epoch [42][1900/2353] lr: 2.051e-02, eta: 1 day, 6:26:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9781, loss_cls: 3.0637, loss: 3.0637 +2025-06-03 10:18:40,002 - pyskl - INFO - Epoch [42][2000/2353] lr: 2.050e-02, eta: 1 day, 6:26:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9756, loss_cls: 3.0710, loss: 3.0710 +2025-06-03 10:19:23,115 - pyskl - INFO - Epoch [42][2100/2353] lr: 2.049e-02, eta: 1 day, 6:25:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 3.0823, loss: 3.0823 +2025-06-03 10:20:06,257 - pyskl - INFO - Epoch [42][2200/2353] lr: 2.048e-02, eta: 1 day, 6:24:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9800, loss_cls: 2.9825, loss: 2.9825 +2025-06-03 10:20:49,246 - pyskl - INFO - Epoch [42][2300/2353] lr: 2.047e-02, eta: 1 day, 6:23:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9812, loss_cls: 3.0330, loss: 3.0330 +2025-06-03 10:21:12,735 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-06-03 10:22:38,120 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:22:38,194 - pyskl - INFO - +top1_acc 0.8845 +top5_acc 0.9892 +2025-06-03 10:22:38,250 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_38.pth was removed +2025-06-03 10:22:39,285 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_42.pth. +2025-06-03 10:22:39,285 - pyskl - INFO - Best top1_acc is 0.8845 at 42 epoch. +2025-06-03 10:22:39,288 - pyskl - INFO - Epoch(val) [42][1184] top1_acc: 0.8845, top5_acc: 0.9892 +2025-06-03 10:23:42,650 - pyskl - INFO - Epoch [43][100/2353] lr: 2.046e-02, eta: 1 day, 6:22:45, time: 0.634, data_time: 0.204, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9762, loss_cls: 2.9489, loss: 2.9489 +2025-06-03 10:24:25,719 - pyskl - INFO - Epoch [43][200/2353] lr: 2.045e-02, eta: 1 day, 6:22:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9756, loss_cls: 3.0410, loss: 3.0410 +2025-06-03 10:25:08,863 - pyskl - INFO - Epoch [43][300/2353] lr: 2.044e-02, eta: 1 day, 6:21:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9881, loss_cls: 2.8566, loss: 2.8566 +2025-06-03 10:25:52,157 - pyskl - INFO - Epoch [43][400/2353] lr: 2.043e-02, eta: 1 day, 6:20:37, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9800, loss_cls: 2.9262, loss: 2.9262 +2025-06-03 10:26:35,307 - pyskl - INFO - Epoch [43][500/2353] lr: 2.042e-02, eta: 1 day, 6:19:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9825, loss_cls: 2.9453, loss: 2.9453 +2025-06-03 10:27:18,503 - pyskl - INFO - Epoch [43][600/2353] lr: 2.042e-02, eta: 1 day, 6:19:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9812, loss_cls: 2.9901, loss: 2.9901 +2025-06-03 10:28:01,550 - pyskl - INFO - Epoch [43][700/2353] lr: 2.041e-02, eta: 1 day, 6:18:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9812, loss_cls: 2.9397, loss: 2.9397 +2025-06-03 10:28:44,658 - pyskl - INFO - Epoch [43][800/2353] lr: 2.040e-02, eta: 1 day, 6:17:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9744, loss_cls: 3.1394, loss: 3.1394 +2025-06-03 10:29:27,769 - pyskl - INFO - Epoch [43][900/2353] lr: 2.039e-02, eta: 1 day, 6:17:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9800, loss_cls: 2.9671, loss: 2.9671 +2025-06-03 10:30:10,856 - pyskl - INFO - Epoch [43][1000/2353] lr: 2.038e-02, eta: 1 day, 6:16:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9738, loss_cls: 3.0686, loss: 3.0686 +2025-06-03 10:30:53,988 - pyskl - INFO - Epoch [43][1100/2353] lr: 2.037e-02, eta: 1 day, 6:15:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9762, loss_cls: 3.0958, loss: 3.0958 +2025-06-03 10:31:37,092 - pyskl - INFO - Epoch [43][1200/2353] lr: 2.036e-02, eta: 1 day, 6:14:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9731, loss_cls: 3.1038, loss: 3.1038 +2025-06-03 10:32:20,214 - pyskl - INFO - Epoch [43][1300/2353] lr: 2.036e-02, eta: 1 day, 6:14:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9806, loss_cls: 3.0202, loss: 3.0202 +2025-06-03 10:33:03,261 - pyskl - INFO - Epoch [43][1400/2353] lr: 2.035e-02, eta: 1 day, 6:13:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9738, loss_cls: 2.9714, loss: 2.9714 +2025-06-03 10:33:46,393 - pyskl - INFO - Epoch [43][1500/2353] lr: 2.034e-02, eta: 1 day, 6:12:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9744, loss_cls: 3.1150, loss: 3.1150 +2025-06-03 10:34:29,472 - pyskl - INFO - Epoch [43][1600/2353] lr: 2.033e-02, eta: 1 day, 6:12:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9688, loss_cls: 3.0425, loss: 3.0425 +2025-06-03 10:35:12,643 - pyskl - INFO - Epoch [43][1700/2353] lr: 2.032e-02, eta: 1 day, 6:11:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9769, loss_cls: 3.1191, loss: 3.1191 +2025-06-03 10:35:55,733 - pyskl - INFO - Epoch [43][1800/2353] lr: 2.031e-02, eta: 1 day, 6:10:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9788, loss_cls: 2.9274, loss: 2.9274 +2025-06-03 10:36:38,841 - pyskl - INFO - Epoch [43][1900/2353] lr: 2.030e-02, eta: 1 day, 6:09:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9675, loss_cls: 3.0483, loss: 3.0483 +2025-06-03 10:37:22,043 - pyskl - INFO - Epoch [43][2000/2353] lr: 2.030e-02, eta: 1 day, 6:09:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9794, loss_cls: 3.0581, loss: 3.0581 +2025-06-03 10:38:05,225 - pyskl - INFO - Epoch [43][2100/2353] lr: 2.029e-02, eta: 1 day, 6:08:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9788, loss_cls: 3.0281, loss: 3.0281 +2025-06-03 10:38:48,430 - pyskl - INFO - Epoch [43][2200/2353] lr: 2.028e-02, eta: 1 day, 6:07:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9762, loss_cls: 3.0115, loss: 3.0115 +2025-06-03 10:39:31,529 - pyskl - INFO - Epoch [43][2300/2353] lr: 2.027e-02, eta: 1 day, 6:07:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9756, loss_cls: 3.0916, loss: 3.0916 +2025-06-03 10:39:54,976 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-06-03 10:41:20,520 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:41:20,596 - pyskl - INFO - +top1_acc 0.8871 +top5_acc 0.9882 +2025-06-03 10:41:20,648 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_42.pth was removed +2025-06-03 10:41:21,637 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_43.pth. +2025-06-03 10:41:21,638 - pyskl - INFO - Best top1_acc is 0.8871 at 43 epoch. +2025-06-03 10:41:21,640 - pyskl - INFO - Epoch(val) [43][1184] top1_acc: 0.8871, top5_acc: 0.9882 +2025-06-03 10:42:25,251 - pyskl - INFO - Epoch [44][100/2353] lr: 2.026e-02, eta: 1 day, 6:05:51, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9794, loss_cls: 2.9515, loss: 2.9515 +2025-06-03 10:43:08,454 - pyskl - INFO - Epoch [44][200/2353] lr: 2.025e-02, eta: 1 day, 6:05:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9812, loss_cls: 2.9716, loss: 2.9716 +2025-06-03 10:43:51,634 - pyskl - INFO - Epoch [44][300/2353] lr: 2.024e-02, eta: 1 day, 6:04:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9756, loss_cls: 3.0644, loss: 3.0644 +2025-06-03 10:44:34,664 - pyskl - INFO - Epoch [44][400/2353] lr: 2.023e-02, eta: 1 day, 6:03:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9794, loss_cls: 3.0413, loss: 3.0413 +2025-06-03 10:45:17,575 - pyskl - INFO - Epoch [44][500/2353] lr: 2.022e-02, eta: 1 day, 6:02:59, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9756, loss_cls: 2.9019, loss: 2.9019 +2025-06-03 10:46:00,661 - pyskl - INFO - Epoch [44][600/2353] lr: 2.021e-02, eta: 1 day, 6:02:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9688, loss_cls: 2.9454, loss: 2.9454 +2025-06-03 10:46:43,777 - pyskl - INFO - Epoch [44][700/2353] lr: 2.020e-02, eta: 1 day, 6:01:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9725, loss_cls: 3.0483, loss: 3.0483 +2025-06-03 10:47:26,915 - pyskl - INFO - Epoch [44][800/2353] lr: 2.019e-02, eta: 1 day, 6:00:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9775, loss_cls: 2.9154, loss: 2.9154 +2025-06-03 10:48:10,014 - pyskl - INFO - Epoch [44][900/2353] lr: 2.019e-02, eta: 1 day, 6:00:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 2.9148, loss: 2.9148 +2025-06-03 10:48:53,063 - pyskl - INFO - Epoch [44][1000/2353] lr: 2.018e-02, eta: 1 day, 5:59:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9831, loss_cls: 2.9352, loss: 2.9352 +2025-06-03 10:49:36,386 - pyskl - INFO - Epoch [44][1100/2353] lr: 2.017e-02, eta: 1 day, 5:58:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9744, loss_cls: 3.0474, loss: 3.0474 +2025-06-03 10:50:19,681 - pyskl - INFO - Epoch [44][1200/2353] lr: 2.016e-02, eta: 1 day, 5:57:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9819, loss_cls: 2.9865, loss: 2.9865 +2025-06-03 10:51:03,017 - pyskl - INFO - Epoch [44][1300/2353] lr: 2.015e-02, eta: 1 day, 5:57:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9794, loss_cls: 2.9250, loss: 2.9250 +2025-06-03 10:51:46,244 - pyskl - INFO - Epoch [44][1400/2353] lr: 2.014e-02, eta: 1 day, 5:56:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9838, loss_cls: 3.0172, loss: 3.0172 +2025-06-03 10:52:29,304 - pyskl - INFO - Epoch [44][1500/2353] lr: 2.013e-02, eta: 1 day, 5:55:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9750, loss_cls: 3.1075, loss: 3.1075 +2025-06-03 10:53:12,368 - pyskl - INFO - Epoch [44][1600/2353] lr: 2.012e-02, eta: 1 day, 5:55:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9756, loss_cls: 3.0835, loss: 3.0835 +2025-06-03 10:53:55,361 - pyskl - INFO - Epoch [44][1700/2353] lr: 2.012e-02, eta: 1 day, 5:54:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9762, loss_cls: 3.0493, loss: 3.0493 +2025-06-03 10:54:38,380 - pyskl - INFO - Epoch [44][1800/2353] lr: 2.011e-02, eta: 1 day, 5:53:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9806, loss_cls: 2.9591, loss: 2.9591 +2025-06-03 10:55:21,602 - pyskl - INFO - Epoch [44][1900/2353] lr: 2.010e-02, eta: 1 day, 5:52:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9812, loss_cls: 2.9437, loss: 2.9437 +2025-06-03 10:56:04,712 - pyskl - INFO - Epoch [44][2000/2353] lr: 2.009e-02, eta: 1 day, 5:52:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9769, loss_cls: 2.8989, loss: 2.8989 +2025-06-03 10:56:47,885 - pyskl - INFO - Epoch [44][2100/2353] lr: 2.008e-02, eta: 1 day, 5:51:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9762, loss_cls: 2.9973, loss: 2.9973 +2025-06-03 10:57:30,978 - pyskl - INFO - Epoch [44][2200/2353] lr: 2.007e-02, eta: 1 day, 5:50:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9769, loss_cls: 2.9781, loss: 2.9781 +2025-06-03 10:58:14,008 - pyskl - INFO - Epoch [44][2300/2353] lr: 2.006e-02, eta: 1 day, 5:50:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9694, loss_cls: 3.0384, loss: 3.0384 +2025-06-03 10:58:37,317 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-06-03 11:00:02,807 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:00:02,882 - pyskl - INFO - +top1_acc 0.8813 +top5_acc 0.9895 +2025-06-03 11:00:02,885 - pyskl - INFO - Epoch(val) [44][1184] top1_acc: 0.8813, top5_acc: 0.9895 +2025-06-03 11:01:06,524 - pyskl - INFO - Epoch [45][100/2353] lr: 2.005e-02, eta: 1 day, 5:48:56, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9756, loss_cls: 2.9570, loss: 2.9570 +2025-06-03 11:01:49,779 - pyskl - INFO - Epoch [45][200/2353] lr: 2.004e-02, eta: 1 day, 5:48:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9744, loss_cls: 3.1027, loss: 3.1027 +2025-06-03 11:02:32,917 - pyskl - INFO - Epoch [45][300/2353] lr: 2.003e-02, eta: 1 day, 5:47:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 2.8661, loss: 2.8661 +2025-06-03 11:03:16,076 - pyskl - INFO - Epoch [45][400/2353] lr: 2.002e-02, eta: 1 day, 5:46:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9788, loss_cls: 2.9258, loss: 2.9258 +2025-06-03 11:03:59,222 - pyskl - INFO - Epoch [45][500/2353] lr: 2.001e-02, eta: 1 day, 5:46:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9762, loss_cls: 2.9864, loss: 2.9864 +2025-06-03 11:04:42,336 - pyskl - INFO - Epoch [45][600/2353] lr: 2.000e-02, eta: 1 day, 5:45:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9731, loss_cls: 3.0485, loss: 3.0485 +2025-06-03 11:05:25,378 - pyskl - INFO - Epoch [45][700/2353] lr: 2.000e-02, eta: 1 day, 5:44:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9812, loss_cls: 2.9580, loss: 2.9580 +2025-06-03 11:06:08,246 - pyskl - INFO - Epoch [45][800/2353] lr: 1.999e-02, eta: 1 day, 5:43:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9769, loss_cls: 3.0854, loss: 3.0854 +2025-06-03 11:06:51,352 - pyskl - INFO - Epoch [45][900/2353] lr: 1.998e-02, eta: 1 day, 5:43:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9838, loss_cls: 3.0015, loss: 3.0015 +2025-06-03 11:07:34,639 - pyskl - INFO - Epoch [45][1000/2353] lr: 1.997e-02, eta: 1 day, 5:42:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9756, loss_cls: 2.9277, loss: 2.9277 +2025-06-03 11:08:17,830 - pyskl - INFO - Epoch [45][1100/2353] lr: 1.996e-02, eta: 1 day, 5:41:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9850, loss_cls: 2.8999, loss: 2.8999 +2025-06-03 11:09:01,001 - pyskl - INFO - Epoch [45][1200/2353] lr: 1.995e-02, eta: 1 day, 5:41:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9738, loss_cls: 3.0642, loss: 3.0642 +2025-06-03 11:09:44,367 - pyskl - INFO - Epoch [45][1300/2353] lr: 1.994e-02, eta: 1 day, 5:40:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9775, loss_cls: 2.9659, loss: 2.9659 +2025-06-03 11:10:27,749 - pyskl - INFO - Epoch [45][1400/2353] lr: 1.993e-02, eta: 1 day, 5:39:40, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9812, loss_cls: 2.9267, loss: 2.9267 +2025-06-03 11:11:11,016 - pyskl - INFO - Epoch [45][1500/2353] lr: 1.992e-02, eta: 1 day, 5:38:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9781, loss_cls: 3.0185, loss: 3.0185 +2025-06-03 11:11:54,063 - pyskl - INFO - Epoch [45][1600/2353] lr: 1.992e-02, eta: 1 day, 5:38:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9756, loss_cls: 3.0525, loss: 3.0525 +2025-06-03 11:12:37,168 - pyskl - INFO - Epoch [45][1700/2353] lr: 1.991e-02, eta: 1 day, 5:37:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9775, loss_cls: 2.9385, loss: 2.9385 +2025-06-03 11:13:20,316 - pyskl - INFO - Epoch [45][1800/2353] lr: 1.990e-02, eta: 1 day, 5:36:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9794, loss_cls: 2.9415, loss: 2.9415 +2025-06-03 11:14:03,370 - pyskl - INFO - Epoch [45][1900/2353] lr: 1.989e-02, eta: 1 day, 5:36:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9694, loss_cls: 3.0270, loss: 3.0270 +2025-06-03 11:14:46,418 - pyskl - INFO - Epoch [45][2000/2353] lr: 1.988e-02, eta: 1 day, 5:35:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9788, loss_cls: 3.0275, loss: 3.0275 +2025-06-03 11:15:29,555 - pyskl - INFO - Epoch [45][2100/2353] lr: 1.987e-02, eta: 1 day, 5:34:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9725, loss_cls: 3.0834, loss: 3.0834 +2025-06-03 11:16:12,704 - pyskl - INFO - Epoch [45][2200/2353] lr: 1.986e-02, eta: 1 day, 5:33:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9819, loss_cls: 2.9294, loss: 2.9294 +2025-06-03 11:16:55,871 - pyskl - INFO - Epoch [45][2300/2353] lr: 1.985e-02, eta: 1 day, 5:33:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9756, loss_cls: 3.0647, loss: 3.0647 +2025-06-03 11:17:19,249 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-06-03 11:26:39,616 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:26:39,691 - pyskl - INFO - +top1_acc 0.8919 +top5_acc 0.9897 +2025-06-03 11:26:39,745 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_43.pth was removed +2025-06-03 11:26:40,734 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_45.pth. +2025-06-03 11:26:40,735 - pyskl - INFO - Best top1_acc is 0.8919 at 45 epoch. +2025-06-03 11:26:40,737 - pyskl - INFO - Epoch(val) [45][1184] top1_acc: 0.8919, top5_acc: 0.9897 +2025-06-03 11:27:44,261 - pyskl - INFO - Epoch [46][100/2353] lr: 1.984e-02, eta: 1 day, 5:32:03, time: 0.635, data_time: 0.203, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9769, loss_cls: 2.8950, loss: 2.8950 +2025-06-03 11:28:27,337 - pyskl - INFO - Epoch [46][200/2353] lr: 1.983e-02, eta: 1 day, 5:31:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9806, loss_cls: 2.9333, loss: 2.9333 +2025-06-03 11:29:10,394 - pyskl - INFO - Epoch [46][300/2353] lr: 1.982e-02, eta: 1 day, 5:30:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9775, loss_cls: 3.0061, loss: 3.0061 +2025-06-03 11:29:53,366 - pyskl - INFO - Epoch [46][400/2353] lr: 1.981e-02, eta: 1 day, 5:29:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9756, loss_cls: 2.9847, loss: 2.9847 +2025-06-03 11:30:36,494 - pyskl - INFO - Epoch [46][500/2353] lr: 1.980e-02, eta: 1 day, 5:29:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9806, loss_cls: 2.9967, loss: 2.9967 +2025-06-03 11:31:19,418 - pyskl - INFO - Epoch [46][600/2353] lr: 1.979e-02, eta: 1 day, 5:28:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9744, loss_cls: 3.0188, loss: 3.0188 +2025-06-03 11:32:02,470 - pyskl - INFO - Epoch [46][700/2353] lr: 1.978e-02, eta: 1 day, 5:27:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9794, loss_cls: 2.9581, loss: 2.9581 +2025-06-03 11:32:45,594 - pyskl - INFO - Epoch [46][800/2353] lr: 1.978e-02, eta: 1 day, 5:27:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9806, loss_cls: 2.9726, loss: 2.9726 +2025-06-03 11:33:28,700 - pyskl - INFO - Epoch [46][900/2353] lr: 1.977e-02, eta: 1 day, 5:26:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9731, loss_cls: 3.0656, loss: 3.0656 +2025-06-03 11:34:11,934 - pyskl - INFO - Epoch [46][1000/2353] lr: 1.976e-02, eta: 1 day, 5:25:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9731, loss_cls: 3.0092, loss: 3.0092 +2025-06-03 11:34:55,112 - pyskl - INFO - Epoch [46][1100/2353] lr: 1.975e-02, eta: 1 day, 5:24:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9731, loss_cls: 3.0678, loss: 3.0678 +2025-06-03 11:35:38,230 - pyskl - INFO - Epoch [46][1200/2353] lr: 1.974e-02, eta: 1 day, 5:24:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9788, loss_cls: 3.0593, loss: 3.0593 +2025-06-03 11:36:21,100 - pyskl - INFO - Epoch [46][1300/2353] lr: 1.973e-02, eta: 1 day, 5:23:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9788, loss_cls: 2.9609, loss: 2.9609 +2025-06-03 11:37:04,277 - pyskl - INFO - Epoch [46][1400/2353] lr: 1.972e-02, eta: 1 day, 5:22:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9794, loss_cls: 2.9385, loss: 2.9385 +2025-06-03 11:37:47,653 - pyskl - INFO - Epoch [46][1500/2353] lr: 1.971e-02, eta: 1 day, 5:22:02, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9762, loss_cls: 2.8728, loss: 2.8728 +2025-06-03 11:38:30,986 - pyskl - INFO - Epoch [46][1600/2353] lr: 1.970e-02, eta: 1 day, 5:21:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9688, loss_cls: 3.0769, loss: 3.0769 +2025-06-03 11:39:14,179 - pyskl - INFO - Epoch [46][1700/2353] lr: 1.969e-02, eta: 1 day, 5:20:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9794, loss_cls: 2.9929, loss: 2.9929 +2025-06-03 11:39:57,313 - pyskl - INFO - Epoch [46][1800/2353] lr: 1.968e-02, eta: 1 day, 5:19:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9850, loss_cls: 2.9113, loss: 2.9113 +2025-06-03 11:40:40,525 - pyskl - INFO - Epoch [46][1900/2353] lr: 1.968e-02, eta: 1 day, 5:19:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9756, loss_cls: 2.9765, loss: 2.9765 +2025-06-03 11:41:23,811 - pyskl - INFO - Epoch [46][2000/2353] lr: 1.967e-02, eta: 1 day, 5:18:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9756, loss_cls: 2.9759, loss: 2.9759 +2025-06-03 11:42:07,134 - pyskl - INFO - Epoch [46][2100/2353] lr: 1.966e-02, eta: 1 day, 5:17:46, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9762, loss_cls: 2.9922, loss: 2.9922 +2025-06-03 11:42:50,349 - pyskl - INFO - Epoch [46][2200/2353] lr: 1.965e-02, eta: 1 day, 5:17:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9775, loss_cls: 2.9504, loss: 2.9504 +2025-06-03 11:43:33,425 - pyskl - INFO - Epoch [46][2300/2353] lr: 1.964e-02, eta: 1 day, 5:16:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9700, loss_cls: 3.0294, loss: 3.0294 +2025-06-03 11:43:56,916 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-06-03 11:45:22,516 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:45:22,592 - pyskl - INFO - +top1_acc 0.8722 +top5_acc 0.9879 +2025-06-03 11:45:22,595 - pyskl - INFO - Epoch(val) [46][1184] top1_acc: 0.8722, top5_acc: 0.9879 +2025-06-03 11:46:26,385 - pyskl - INFO - Epoch [47][100/2353] lr: 1.962e-02, eta: 1 day, 5:15:10, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9781, loss_cls: 2.8308, loss: 2.8308 +2025-06-03 11:47:09,605 - pyskl - INFO - Epoch [47][200/2353] lr: 1.962e-02, eta: 1 day, 5:14:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9819, loss_cls: 2.9199, loss: 2.9199 +2025-06-03 11:47:52,882 - pyskl - INFO - Epoch [47][300/2353] lr: 1.961e-02, eta: 1 day, 5:13:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9744, loss_cls: 2.9151, loss: 2.9151 +2025-06-03 11:48:35,994 - pyskl - INFO - Epoch [47][400/2353] lr: 1.960e-02, eta: 1 day, 5:13:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9781, loss_cls: 2.9675, loss: 2.9675 +2025-06-03 11:49:19,157 - pyskl - INFO - Epoch [47][500/2353] lr: 1.959e-02, eta: 1 day, 5:12:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9788, loss_cls: 2.8980, loss: 2.8980 +2025-06-03 11:50:02,273 - pyskl - INFO - Epoch [47][600/2353] lr: 1.958e-02, eta: 1 day, 5:11:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9781, loss_cls: 3.0562, loss: 3.0562 +2025-06-03 11:50:45,422 - pyskl - INFO - Epoch [47][700/2353] lr: 1.957e-02, eta: 1 day, 5:10:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9725, loss_cls: 3.0062, loss: 3.0062 +2025-06-03 11:51:28,624 - pyskl - INFO - Epoch [47][800/2353] lr: 1.956e-02, eta: 1 day, 5:10:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9688, loss_cls: 3.0514, loss: 3.0514 +2025-06-03 11:52:11,704 - pyskl - INFO - Epoch [47][900/2353] lr: 1.955e-02, eta: 1 day, 5:09:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 2.8968, loss: 2.8968 +2025-06-03 11:52:54,899 - pyskl - INFO - Epoch [47][1000/2353] lr: 1.954e-02, eta: 1 day, 5:08:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9738, loss_cls: 3.0048, loss: 3.0048 +2025-06-03 11:53:38,047 - pyskl - INFO - Epoch [47][1100/2353] lr: 1.953e-02, eta: 1 day, 5:08:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9812, loss_cls: 2.9613, loss: 2.9613 +2025-06-03 11:54:21,066 - pyskl - INFO - Epoch [47][1200/2353] lr: 1.952e-02, eta: 1 day, 5:07:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9800, loss_cls: 2.8486, loss: 2.8486 +2025-06-03 11:55:04,215 - pyskl - INFO - Epoch [47][1300/2353] lr: 1.951e-02, eta: 1 day, 5:06:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9781, loss_cls: 2.9247, loss: 2.9247 +2025-06-03 11:55:47,284 - pyskl - INFO - Epoch [47][1400/2353] lr: 1.951e-02, eta: 1 day, 5:05:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9744, loss_cls: 2.9948, loss: 2.9948 +2025-06-03 11:56:30,394 - pyskl - INFO - Epoch [47][1500/2353] lr: 1.950e-02, eta: 1 day, 5:05:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9744, loss_cls: 2.9724, loss: 2.9724 +2025-06-03 11:57:13,484 - pyskl - INFO - Epoch [47][1600/2353] lr: 1.949e-02, eta: 1 day, 5:04:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9744, loss_cls: 3.0704, loss: 3.0704 +2025-06-03 11:57:56,442 - pyskl - INFO - Epoch [47][1700/2353] lr: 1.948e-02, eta: 1 day, 5:03:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9731, loss_cls: 3.0508, loss: 3.0508 +2025-06-03 11:58:39,565 - pyskl - INFO - Epoch [47][1800/2353] lr: 1.947e-02, eta: 1 day, 5:03:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9788, loss_cls: 2.9650, loss: 2.9650 +2025-06-03 11:59:22,679 - pyskl - INFO - Epoch [47][1900/2353] lr: 1.946e-02, eta: 1 day, 5:02:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9806, loss_cls: 2.9689, loss: 2.9689 +2025-06-03 12:00:05,749 - pyskl - INFO - Epoch [47][2000/2353] lr: 1.945e-02, eta: 1 day, 5:01:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9719, loss_cls: 3.0227, loss: 3.0227 +2025-06-03 12:00:48,811 - pyskl - INFO - Epoch [47][2100/2353] lr: 1.944e-02, eta: 1 day, 5:00:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9806, loss_cls: 2.9843, loss: 2.9843 +2025-06-03 12:01:31,931 - pyskl - INFO - Epoch [47][2200/2353] lr: 1.943e-02, eta: 1 day, 5:00:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9738, loss_cls: 2.9738, loss: 2.9738 +2025-06-03 12:02:15,006 - pyskl - INFO - Epoch [47][2300/2353] lr: 1.942e-02, eta: 1 day, 4:59:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9856, loss_cls: 3.0078, loss: 3.0078 +2025-06-03 12:02:38,388 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-06-03 12:04:03,723 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:04:03,799 - pyskl - INFO - +top1_acc 0.8673 +top5_acc 0.9908 +2025-06-03 12:04:03,802 - pyskl - INFO - Epoch(val) [47][1184] top1_acc: 0.8673, top5_acc: 0.9908 +2025-06-03 12:05:07,795 - pyskl - INFO - Epoch [48][100/2353] lr: 1.941e-02, eta: 1 day, 4:58:16, time: 0.640, data_time: 0.209, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9731, loss_cls: 2.8468, loss: 2.8468 +2025-06-03 12:05:50,853 - pyskl - INFO - Epoch [48][200/2353] lr: 1.940e-02, eta: 1 day, 4:57:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9831, loss_cls: 2.9170, loss: 2.9170 +2025-06-03 12:06:33,972 - pyskl - INFO - Epoch [48][300/2353] lr: 1.939e-02, eta: 1 day, 4:56:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9825, loss_cls: 2.9005, loss: 2.9005 +2025-06-03 12:07:17,082 - pyskl - INFO - Epoch [48][400/2353] lr: 1.938e-02, eta: 1 day, 4:56:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9800, loss_cls: 2.9213, loss: 2.9213 +2025-06-03 12:08:00,319 - pyskl - INFO - Epoch [48][500/2353] lr: 1.937e-02, eta: 1 day, 4:55:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9781, loss_cls: 2.8744, loss: 2.8744 +2025-06-03 12:08:43,209 - pyskl - INFO - Epoch [48][600/2353] lr: 1.936e-02, eta: 1 day, 4:54:41, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9756, loss_cls: 2.8869, loss: 2.8869 +2025-06-03 12:09:26,353 - pyskl - INFO - Epoch [48][700/2353] lr: 1.935e-02, eta: 1 day, 4:53:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9712, loss_cls: 3.0358, loss: 3.0358 +2025-06-03 12:10:09,526 - pyskl - INFO - Epoch [48][800/2353] lr: 1.934e-02, eta: 1 day, 4:53:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9738, loss_cls: 2.9300, loss: 2.9300 +2025-06-03 12:10:52,646 - pyskl - INFO - Epoch [48][900/2353] lr: 1.933e-02, eta: 1 day, 4:52:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9844, loss_cls: 3.0012, loss: 3.0012 +2025-06-03 12:11:35,759 - pyskl - INFO - Epoch [48][1000/2353] lr: 1.932e-02, eta: 1 day, 4:51:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9800, loss_cls: 2.9687, loss: 2.9687 +2025-06-03 12:12:18,819 - pyskl - INFO - Epoch [48][1100/2353] lr: 1.932e-02, eta: 1 day, 4:51:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9831, loss_cls: 2.8566, loss: 2.8566 +2025-06-03 12:13:01,945 - pyskl - INFO - Epoch [48][1200/2353] lr: 1.931e-02, eta: 1 day, 4:50:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9750, loss_cls: 2.9749, loss: 2.9749 +2025-06-03 12:13:44,961 - pyskl - INFO - Epoch [48][1300/2353] lr: 1.930e-02, eta: 1 day, 4:49:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9806, loss_cls: 3.0199, loss: 3.0199 +2025-06-03 12:14:28,037 - pyskl - INFO - Epoch [48][1400/2353] lr: 1.929e-02, eta: 1 day, 4:48:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9762, loss_cls: 2.9639, loss: 2.9639 +2025-06-03 12:15:11,134 - pyskl - INFO - Epoch [48][1500/2353] lr: 1.928e-02, eta: 1 day, 4:48:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9694, loss_cls: 3.1041, loss: 3.1041 +2025-06-03 12:15:54,142 - pyskl - INFO - Epoch [48][1600/2353] lr: 1.927e-02, eta: 1 day, 4:47:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9769, loss_cls: 3.0034, loss: 3.0034 +2025-06-03 12:16:37,138 - pyskl - INFO - Epoch [48][1700/2353] lr: 1.926e-02, eta: 1 day, 4:46:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9769, loss_cls: 2.9049, loss: 2.9049 +2025-06-03 12:17:20,114 - pyskl - INFO - Epoch [48][1800/2353] lr: 1.925e-02, eta: 1 day, 4:46:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9731, loss_cls: 3.0082, loss: 3.0082 +2025-06-03 12:18:03,141 - pyskl - INFO - Epoch [48][1900/2353] lr: 1.924e-02, eta: 1 day, 4:45:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9719, loss_cls: 3.0218, loss: 3.0218 +2025-06-03 12:18:46,149 - pyskl - INFO - Epoch [48][2000/2353] lr: 1.923e-02, eta: 1 day, 4:44:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9788, loss_cls: 2.9411, loss: 2.9411 +2025-06-03 12:19:29,120 - pyskl - INFO - Epoch [48][2100/2353] lr: 1.922e-02, eta: 1 day, 4:43:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9781, loss_cls: 3.0215, loss: 3.0215 +2025-06-03 12:20:12,093 - pyskl - INFO - Epoch [48][2200/2353] lr: 1.921e-02, eta: 1 day, 4:43:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9750, loss_cls: 3.0512, loss: 3.0512 +2025-06-03 12:20:55,153 - pyskl - INFO - Epoch [48][2300/2353] lr: 1.920e-02, eta: 1 day, 4:42:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9769, loss_cls: 2.9863, loss: 2.9863 +2025-06-03 12:21:18,479 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-06-03 12:22:44,097 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:22:44,172 - pyskl - INFO - +top1_acc 0.8671 +top5_acc 0.9864 +2025-06-03 12:22:44,175 - pyskl - INFO - Epoch(val) [48][1184] top1_acc: 0.8671, top5_acc: 0.9864 +2025-06-03 12:23:47,518 - pyskl - INFO - Epoch [49][100/2353] lr: 1.919e-02, eta: 1 day, 4:41:18, time: 0.633, data_time: 0.201, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9775, loss_cls: 2.9213, loss: 2.9213 +2025-06-03 12:24:30,677 - pyskl - INFO - Epoch [49][200/2353] lr: 1.918e-02, eta: 1 day, 4:40:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9775, loss_cls: 2.9395, loss: 2.9395 +2025-06-03 12:25:13,550 - pyskl - INFO - Epoch [49][300/2353] lr: 1.917e-02, eta: 1 day, 4:39:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9762, loss_cls: 2.9099, loss: 2.9099 +2025-06-03 12:25:56,591 - pyskl - INFO - Epoch [49][400/2353] lr: 1.916e-02, eta: 1 day, 4:39:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9794, loss_cls: 2.8802, loss: 2.8802 +2025-06-03 12:26:39,645 - pyskl - INFO - Epoch [49][500/2353] lr: 1.915e-02, eta: 1 day, 4:38:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9762, loss_cls: 2.8908, loss: 2.8908 +2025-06-03 12:27:22,558 - pyskl - INFO - Epoch [49][600/2353] lr: 1.914e-02, eta: 1 day, 4:37:42, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9775, loss_cls: 2.9281, loss: 2.9281 +2025-06-03 12:28:05,622 - pyskl - INFO - Epoch [49][700/2353] lr: 1.913e-02, eta: 1 day, 4:36:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9700, loss_cls: 2.9165, loss: 2.9165 +2025-06-03 12:28:48,746 - pyskl - INFO - Epoch [49][800/2353] lr: 1.912e-02, eta: 1 day, 4:36:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9819, loss_cls: 2.8809, loss: 2.8809 +2025-06-03 12:29:31,766 - pyskl - INFO - Epoch [49][900/2353] lr: 1.911e-02, eta: 1 day, 4:35:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9681, loss_cls: 2.9648, loss: 2.9648 +2025-06-03 12:30:14,885 - pyskl - INFO - Epoch [49][1000/2353] lr: 1.910e-02, eta: 1 day, 4:34:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9788, loss_cls: 2.9149, loss: 2.9149 +2025-06-03 12:30:58,353 - pyskl - INFO - Epoch [49][1100/2353] lr: 1.909e-02, eta: 1 day, 4:34:08, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9831, loss_cls: 2.9637, loss: 2.9637 +2025-06-03 12:31:41,479 - pyskl - INFO - Epoch [49][1200/2353] lr: 1.908e-02, eta: 1 day, 4:33:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9731, loss_cls: 2.9602, loss: 2.9602 +2025-06-03 12:32:24,466 - pyskl - INFO - Epoch [49][1300/2353] lr: 1.908e-02, eta: 1 day, 4:32:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9838, loss_cls: 2.8667, loss: 2.8667 +2025-06-03 12:33:07,628 - pyskl - INFO - Epoch [49][1400/2353] lr: 1.907e-02, eta: 1 day, 4:31:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9844, loss_cls: 2.8620, loss: 2.8620 +2025-06-03 12:33:50,751 - pyskl - INFO - Epoch [49][1500/2353] lr: 1.906e-02, eta: 1 day, 4:31:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9744, loss_cls: 2.9949, loss: 2.9949 +2025-06-03 12:34:33,924 - pyskl - INFO - Epoch [49][1600/2353] lr: 1.905e-02, eta: 1 day, 4:30:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9819, loss_cls: 2.9825, loss: 2.9825 +2025-06-03 12:35:16,906 - pyskl - INFO - Epoch [49][1700/2353] lr: 1.904e-02, eta: 1 day, 4:29:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9806, loss_cls: 2.9579, loss: 2.9579 +2025-06-03 12:36:00,054 - pyskl - INFO - Epoch [49][1800/2353] lr: 1.903e-02, eta: 1 day, 4:29:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9756, loss_cls: 3.0068, loss: 3.0068 +2025-06-03 12:36:43,114 - pyskl - INFO - Epoch [49][1900/2353] lr: 1.902e-02, eta: 1 day, 4:28:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9756, loss_cls: 3.0576, loss: 3.0576 +2025-06-03 12:37:26,136 - pyskl - INFO - Epoch [49][2000/2353] lr: 1.901e-02, eta: 1 day, 4:27:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9800, loss_cls: 2.9917, loss: 2.9917 +2025-06-03 12:38:09,132 - pyskl - INFO - Epoch [49][2100/2353] lr: 1.900e-02, eta: 1 day, 4:26:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9750, loss_cls: 2.9491, loss: 2.9491 +2025-06-03 12:38:52,140 - pyskl - INFO - Epoch [49][2200/2353] lr: 1.899e-02, eta: 1 day, 4:26:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9819, loss_cls: 2.9370, loss: 2.9370 +2025-06-03 12:39:35,250 - pyskl - INFO - Epoch [49][2300/2353] lr: 1.898e-02, eta: 1 day, 4:25:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9762, loss_cls: 3.0112, loss: 3.0112 +2025-06-03 12:39:58,606 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-06-03 12:41:24,127 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:41:24,202 - pyskl - INFO - +top1_acc 0.8928 +top5_acc 0.9911 +2025-06-03 12:41:24,256 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_45.pth was removed +2025-06-03 12:41:25,261 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth. +2025-06-03 12:41:25,262 - pyskl - INFO - Best top1_acc is 0.8928 at 49 epoch. +2025-06-03 12:41:25,265 - pyskl - INFO - Epoch(val) [49][1184] top1_acc: 0.8928, top5_acc: 0.9911 +2025-06-03 12:42:29,430 - pyskl - INFO - Epoch [50][100/2353] lr: 1.897e-02, eta: 1 day, 4:24:23, time: 0.642, data_time: 0.208, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9769, loss_cls: 2.9344, loss: 2.9344 +2025-06-03 12:43:12,608 - pyskl - INFO - Epoch [50][200/2353] lr: 1.896e-02, eta: 1 day, 4:23:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9800, loss_cls: 2.8830, loss: 2.8830 +2025-06-03 12:43:55,762 - pyskl - INFO - Epoch [50][300/2353] lr: 1.895e-02, eta: 1 day, 4:22:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9812, loss_cls: 2.8610, loss: 2.8610 +2025-06-03 12:44:38,940 - pyskl - INFO - Epoch [50][400/2353] lr: 1.894e-02, eta: 1 day, 4:22:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9756, loss_cls: 2.8987, loss: 2.8987 +2025-06-03 12:45:22,015 - pyskl - INFO - Epoch [50][500/2353] lr: 1.893e-02, eta: 1 day, 4:21:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9800, loss_cls: 2.8943, loss: 2.8943 +2025-06-03 12:46:05,174 - pyskl - INFO - Epoch [50][600/2353] lr: 1.892e-02, eta: 1 day, 4:20:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9806, loss_cls: 2.9318, loss: 2.9318 +2025-06-03 12:46:48,226 - pyskl - INFO - Epoch [50][700/2353] lr: 1.891e-02, eta: 1 day, 4:20:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 2.9320, loss: 2.9320 +2025-06-03 12:47:31,375 - pyskl - INFO - Epoch [50][800/2353] lr: 1.890e-02, eta: 1 day, 4:19:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9788, loss_cls: 2.8713, loss: 2.8713 +2025-06-03 12:48:14,537 - pyskl - INFO - Epoch [50][900/2353] lr: 1.889e-02, eta: 1 day, 4:18:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9769, loss_cls: 3.0169, loss: 3.0169 +2025-06-03 12:48:57,660 - pyskl - INFO - Epoch [50][1000/2353] lr: 1.888e-02, eta: 1 day, 4:17:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9744, loss_cls: 2.9340, loss: 2.9340 +2025-06-03 12:49:40,887 - pyskl - INFO - Epoch [50][1100/2353] lr: 1.887e-02, eta: 1 day, 4:17:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9769, loss_cls: 2.9781, loss: 2.9781 +2025-06-03 12:50:24,157 - pyskl - INFO - Epoch [50][1200/2353] lr: 1.886e-02, eta: 1 day, 4:16:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9756, loss_cls: 2.9597, loss: 2.9597 +2025-06-03 12:51:07,289 - pyskl - INFO - Epoch [50][1300/2353] lr: 1.885e-02, eta: 1 day, 4:15:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9775, loss_cls: 2.9037, loss: 2.9037 +2025-06-03 12:51:50,431 - pyskl - INFO - Epoch [50][1400/2353] lr: 1.884e-02, eta: 1 day, 4:15:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9775, loss_cls: 2.9695, loss: 2.9695 +2025-06-03 12:52:33,513 - pyskl - INFO - Epoch [50][1500/2353] lr: 1.883e-02, eta: 1 day, 4:14:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9738, loss_cls: 2.9845, loss: 2.9845 +2025-06-03 12:53:16,594 - pyskl - INFO - Epoch [50][1600/2353] lr: 1.882e-02, eta: 1 day, 4:13:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 2.8635, loss: 2.8635 +2025-06-03 12:53:59,749 - pyskl - INFO - Epoch [50][1700/2353] lr: 1.881e-02, eta: 1 day, 4:12:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9819, loss_cls: 2.8989, loss: 2.8989 +2025-06-03 12:54:42,809 - pyskl - INFO - Epoch [50][1800/2353] lr: 1.880e-02, eta: 1 day, 4:12:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9788, loss_cls: 2.9914, loss: 2.9914 +2025-06-03 12:55:25,911 - pyskl - INFO - Epoch [50][1900/2353] lr: 1.879e-02, eta: 1 day, 4:11:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9756, loss_cls: 2.9640, loss: 2.9640 +2025-06-03 12:56:08,972 - pyskl - INFO - Epoch [50][2000/2353] lr: 1.878e-02, eta: 1 day, 4:10:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9694, loss_cls: 3.0011, loss: 3.0011 +2025-06-03 12:56:52,062 - pyskl - INFO - Epoch [50][2100/2353] lr: 1.877e-02, eta: 1 day, 4:10:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9794, loss_cls: 2.9728, loss: 2.9728 +2025-06-03 12:57:35,286 - pyskl - INFO - Epoch [50][2200/2353] lr: 1.876e-02, eta: 1 day, 4:09:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9750, loss_cls: 2.9237, loss: 2.9237 +2025-06-03 12:58:18,397 - pyskl - INFO - Epoch [50][2300/2353] lr: 1.876e-02, eta: 1 day, 4:08:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9725, loss_cls: 3.0013, loss: 3.0013 +2025-06-03 12:58:41,845 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-06-03 13:07:30,464 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 13:07:30,539 - pyskl - INFO - +top1_acc 0.8965 +top5_acc 0.9900 +2025-06-03 13:07:30,598 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_49.pth was removed +2025-06-03 13:07:31,651 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_50.pth. +2025-06-03 13:07:31,652 - pyskl - INFO - Best top1_acc is 0.8965 at 50 epoch. +2025-06-03 13:07:31,655 - pyskl - INFO - Epoch(val) [50][1184] top1_acc: 0.8965, top5_acc: 0.9900 +2025-06-03 13:08:35,634 - pyskl - INFO - Epoch [51][100/2353] lr: 1.874e-02, eta: 1 day, 4:07:30, time: 0.640, data_time: 0.206, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9769, loss_cls: 2.8788, loss: 2.8788 +2025-06-03 13:09:18,761 - pyskl - INFO - Epoch [51][200/2353] lr: 1.873e-02, eta: 1 day, 4:06:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9850, loss_cls: 2.8857, loss: 2.8857 +2025-06-03 13:10:01,935 - pyskl - INFO - Epoch [51][300/2353] lr: 1.872e-02, eta: 1 day, 4:06:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9800, loss_cls: 2.9346, loss: 2.9346 +2025-06-03 13:10:45,181 - pyskl - INFO - Epoch [51][400/2353] lr: 1.871e-02, eta: 1 day, 4:05:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9825, loss_cls: 2.8517, loss: 2.8517 +2025-06-03 13:11:28,287 - pyskl - INFO - Epoch [51][500/2353] lr: 1.870e-02, eta: 1 day, 4:04:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9856, loss_cls: 2.8132, loss: 2.8132 +2025-06-03 13:12:11,334 - pyskl - INFO - Epoch [51][600/2353] lr: 1.869e-02, eta: 1 day, 4:03:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9838, loss_cls: 2.8158, loss: 2.8158 +2025-06-03 13:12:54,414 - pyskl - INFO - Epoch [51][700/2353] lr: 1.868e-02, eta: 1 day, 4:03:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9800, loss_cls: 2.8871, loss: 2.8871 +2025-06-03 13:13:37,456 - pyskl - INFO - Epoch [51][800/2353] lr: 1.867e-02, eta: 1 day, 4:02:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 2.9188, loss: 2.9188 +2025-06-03 13:14:20,518 - pyskl - INFO - Epoch [51][900/2353] lr: 1.866e-02, eta: 1 day, 4:01:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9750, loss_cls: 2.9530, loss: 2.9530 +2025-06-03 13:15:03,638 - pyskl - INFO - Epoch [51][1000/2353] lr: 1.865e-02, eta: 1 day, 4:01:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9781, loss_cls: 2.9829, loss: 2.9829 +2025-06-03 13:15:46,814 - pyskl - INFO - Epoch [51][1100/2353] lr: 1.864e-02, eta: 1 day, 4:00:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9794, loss_cls: 2.9944, loss: 2.9944 +2025-06-03 13:16:29,880 - pyskl - INFO - Epoch [51][1200/2353] lr: 1.863e-02, eta: 1 day, 3:59:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9775, loss_cls: 2.9925, loss: 2.9925 +2025-06-03 13:17:13,108 - pyskl - INFO - Epoch [51][1300/2353] lr: 1.862e-02, eta: 1 day, 3:58:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9775, loss_cls: 2.8163, loss: 2.8163 +2025-06-03 13:17:56,260 - pyskl - INFO - Epoch [51][1400/2353] lr: 1.861e-02, eta: 1 day, 3:58:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9750, loss_cls: 3.0320, loss: 3.0320 +2025-06-03 13:18:39,298 - pyskl - INFO - Epoch [51][1500/2353] lr: 1.861e-02, eta: 1 day, 3:57:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9788, loss_cls: 2.9293, loss: 2.9293 +2025-06-03 13:19:22,391 - pyskl - INFO - Epoch [51][1600/2353] lr: 1.860e-02, eta: 1 day, 3:56:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9725, loss_cls: 2.9615, loss: 2.9615 +2025-06-03 13:20:05,578 - pyskl - INFO - Epoch [51][1700/2353] lr: 1.859e-02, eta: 1 day, 3:56:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9800, loss_cls: 2.8968, loss: 2.8968 +2025-06-03 13:20:48,783 - pyskl - INFO - Epoch [51][1800/2353] lr: 1.858e-02, eta: 1 day, 3:55:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9781, loss_cls: 2.8823, loss: 2.8823 +2025-06-03 13:21:32,030 - pyskl - INFO - Epoch [51][1900/2353] lr: 1.857e-02, eta: 1 day, 3:54:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9806, loss_cls: 2.9733, loss: 2.9733 +2025-06-03 13:22:15,166 - pyskl - INFO - Epoch [51][2000/2353] lr: 1.856e-02, eta: 1 day, 3:53:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9694, loss_cls: 3.0315, loss: 3.0315 +2025-06-03 13:22:58,265 - pyskl - INFO - Epoch [51][2100/2353] lr: 1.855e-02, eta: 1 day, 3:53:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9762, loss_cls: 3.0686, loss: 3.0686 +2025-06-03 13:23:41,370 - pyskl - INFO - Epoch [51][2200/2353] lr: 1.854e-02, eta: 1 day, 3:52:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9756, loss_cls: 3.0652, loss: 3.0652 +2025-06-03 13:24:24,498 - pyskl - INFO - Epoch [51][2300/2353] lr: 1.853e-02, eta: 1 day, 3:51:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9762, loss_cls: 2.8846, loss: 2.8846 +2025-06-03 13:24:47,935 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-06-03 13:26:13,444 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 13:26:13,519 - pyskl - INFO - +top1_acc 0.8630 +top5_acc 0.9851 +2025-06-03 13:26:13,522 - pyskl - INFO - Epoch(val) [51][1184] top1_acc: 0.8630, top5_acc: 0.9851 +2025-06-03 13:27:17,538 - pyskl - INFO - Epoch [52][100/2353] lr: 1.851e-02, eta: 1 day, 3:50:37, time: 0.640, data_time: 0.205, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9775, loss_cls: 2.8287, loss: 2.8287 +2025-06-03 13:28:00,717 - pyskl - INFO - Epoch [52][200/2353] lr: 1.850e-02, eta: 1 day, 3:49:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 2.8165, loss: 2.8165 +2025-06-03 13:28:43,922 - pyskl - INFO - Epoch [52][300/2353] lr: 1.849e-02, eta: 1 day, 3:49:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9862, loss_cls: 2.8246, loss: 2.8246 +2025-06-03 13:29:27,001 - pyskl - INFO - Epoch [52][400/2353] lr: 1.848e-02, eta: 1 day, 3:48:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9775, loss_cls: 2.8443, loss: 2.8443 +2025-06-03 13:30:10,007 - pyskl - INFO - Epoch [52][500/2353] lr: 1.847e-02, eta: 1 day, 3:47:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9850, loss_cls: 2.8676, loss: 2.8676 +2025-06-03 13:30:53,377 - pyskl - INFO - Epoch [52][600/2353] lr: 1.846e-02, eta: 1 day, 3:47:03, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9762, loss_cls: 3.0632, loss: 3.0632 +2025-06-03 13:31:36,490 - pyskl - INFO - Epoch [52][700/2353] lr: 1.845e-02, eta: 1 day, 3:46:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9781, loss_cls: 2.9196, loss: 2.9196 +2025-06-03 13:32:19,607 - pyskl - INFO - Epoch [52][800/2353] lr: 1.844e-02, eta: 1 day, 3:45:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9750, loss_cls: 3.0130, loss: 3.0130 +2025-06-03 13:33:02,764 - pyskl - INFO - Epoch [52][900/2353] lr: 1.843e-02, eta: 1 day, 3:44:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9812, loss_cls: 2.8296, loss: 2.8296 +2025-06-03 13:33:45,893 - pyskl - INFO - Epoch [52][1000/2353] lr: 1.842e-02, eta: 1 day, 3:44:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9788, loss_cls: 2.8984, loss: 2.8984 +2025-06-03 13:34:29,135 - pyskl - INFO - Epoch [52][1100/2353] lr: 1.841e-02, eta: 1 day, 3:43:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9844, loss_cls: 2.8476, loss: 2.8476 +2025-06-03 13:35:12,382 - pyskl - INFO - Epoch [52][1200/2353] lr: 1.840e-02, eta: 1 day, 3:42:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 2.9366, loss: 2.9366 +2025-06-03 13:35:55,526 - pyskl - INFO - Epoch [52][1300/2353] lr: 1.839e-02, eta: 1 day, 3:42:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9788, loss_cls: 3.0871, loss: 3.0871 +2025-06-03 13:36:38,420 - pyskl - INFO - Epoch [52][1400/2353] lr: 1.839e-02, eta: 1 day, 3:41:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9788, loss_cls: 2.8897, loss: 2.8897 +2025-06-03 13:37:21,528 - pyskl - INFO - Epoch [52][1500/2353] lr: 1.838e-02, eta: 1 day, 3:40:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9825, loss_cls: 2.9061, loss: 2.9061 +2025-06-03 13:38:04,637 - pyskl - INFO - Epoch [52][1600/2353] lr: 1.837e-02, eta: 1 day, 3:39:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9812, loss_cls: 2.8628, loss: 2.8628 +2025-06-03 13:38:47,781 - pyskl - INFO - Epoch [52][1700/2353] lr: 1.836e-02, eta: 1 day, 3:39:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9750, loss_cls: 2.9755, loss: 2.9755 +2025-06-03 13:39:30,872 - pyskl - INFO - Epoch [52][1800/2353] lr: 1.835e-02, eta: 1 day, 3:38:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9806, loss_cls: 2.9404, loss: 2.9404 +2025-06-03 13:40:13,913 - pyskl - INFO - Epoch [52][1900/2353] lr: 1.834e-02, eta: 1 day, 3:37:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9794, loss_cls: 2.9645, loss: 2.9645 +2025-06-03 13:40:56,960 - pyskl - INFO - Epoch [52][2000/2353] lr: 1.833e-02, eta: 1 day, 3:37:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9756, loss_cls: 2.9809, loss: 2.9809 +2025-06-03 13:41:40,005 - pyskl - INFO - Epoch [52][2100/2353] lr: 1.832e-02, eta: 1 day, 3:36:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9738, loss_cls: 2.8960, loss: 2.8960 +2025-06-03 13:42:23,073 - pyskl - INFO - Epoch [52][2200/2353] lr: 1.831e-02, eta: 1 day, 3:35:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9850, loss_cls: 2.8677, loss: 2.8677 +2025-06-03 13:43:06,174 - pyskl - INFO - Epoch [52][2300/2353] lr: 1.830e-02, eta: 1 day, 3:34:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9769, loss_cls: 2.9548, loss: 2.9548 +2025-06-03 13:43:29,508 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-06-03 13:44:54,917 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 13:44:54,990 - pyskl - INFO - +top1_acc 0.8753 +top5_acc 0.9878 +2025-06-03 13:44:54,993 - pyskl - INFO - Epoch(val) [52][1184] top1_acc: 0.8753, top5_acc: 0.9878 +2025-06-03 13:45:58,270 - pyskl - INFO - Epoch [53][100/2353] lr: 1.828e-02, eta: 1 day, 3:33:42, time: 0.633, data_time: 0.203, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9750, loss_cls: 2.9740, loss: 2.9740 +2025-06-03 13:46:41,373 - pyskl - INFO - Epoch [53][200/2353] lr: 1.827e-02, eta: 1 day, 3:32:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9794, loss_cls: 2.9053, loss: 2.9053 +2025-06-03 13:47:24,562 - pyskl - INFO - Epoch [53][300/2353] lr: 1.826e-02, eta: 1 day, 3:32:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9819, loss_cls: 2.8558, loss: 2.8558 +2025-06-03 13:48:07,966 - pyskl - INFO - Epoch [53][400/2353] lr: 1.825e-02, eta: 1 day, 3:31:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 2.8930, loss: 2.8930 +2025-06-03 13:48:51,154 - pyskl - INFO - Epoch [53][500/2353] lr: 1.824e-02, eta: 1 day, 3:30:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9825, loss_cls: 2.8181, loss: 2.8181 +2025-06-03 13:49:34,279 - pyskl - INFO - Epoch [53][600/2353] lr: 1.823e-02, eta: 1 day, 3:30:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9831, loss_cls: 2.8211, loss: 2.8211 +2025-06-03 13:50:17,357 - pyskl - INFO - Epoch [53][700/2353] lr: 1.822e-02, eta: 1 day, 3:29:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9794, loss_cls: 2.9430, loss: 2.9430 +2025-06-03 13:51:00,423 - pyskl - INFO - Epoch [53][800/2353] lr: 1.821e-02, eta: 1 day, 3:28:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9781, loss_cls: 2.8833, loss: 2.8833 +2025-06-03 13:51:43,545 - pyskl - INFO - Epoch [53][900/2353] lr: 1.820e-02, eta: 1 day, 3:27:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9781, loss_cls: 2.8893, loss: 2.8893 +2025-06-03 13:52:26,642 - pyskl - INFO - Epoch [53][1000/2353] lr: 1.819e-02, eta: 1 day, 3:27:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9775, loss_cls: 2.9752, loss: 2.9752 +2025-06-03 13:53:09,863 - pyskl - INFO - Epoch [53][1100/2353] lr: 1.818e-02, eta: 1 day, 3:26:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9731, loss_cls: 2.9934, loss: 2.9934 +2025-06-03 13:53:53,132 - pyskl - INFO - Epoch [53][1200/2353] lr: 1.817e-02, eta: 1 day, 3:25:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9775, loss_cls: 2.9158, loss: 2.9158 +2025-06-03 13:54:36,306 - pyskl - INFO - Epoch [53][1300/2353] lr: 1.816e-02, eta: 1 day, 3:25:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9750, loss_cls: 2.9223, loss: 2.9223 +2025-06-03 13:55:19,326 - pyskl - INFO - Epoch [53][1400/2353] lr: 1.815e-02, eta: 1 day, 3:24:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9781, loss_cls: 2.9141, loss: 2.9141 +2025-06-03 13:56:02,322 - pyskl - INFO - Epoch [53][1500/2353] lr: 1.814e-02, eta: 1 day, 3:23:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9838, loss_cls: 2.8684, loss: 2.8684 +2025-06-03 13:56:45,402 - pyskl - INFO - Epoch [53][1600/2353] lr: 1.813e-02, eta: 1 day, 3:22:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9794, loss_cls: 2.8733, loss: 2.8733 +2025-06-03 13:57:28,499 - pyskl - INFO - Epoch [53][1700/2353] lr: 1.812e-02, eta: 1 day, 3:22:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9794, loss_cls: 2.9497, loss: 2.9497 +2025-06-03 13:58:11,547 - pyskl - INFO - Epoch [53][1800/2353] lr: 1.811e-02, eta: 1 day, 3:21:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9775, loss_cls: 2.9416, loss: 2.9416 +2025-06-03 13:58:54,510 - pyskl - INFO - Epoch [53][1900/2353] lr: 1.810e-02, eta: 1 day, 3:20:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9812, loss_cls: 2.9440, loss: 2.9440 +2025-06-03 13:59:37,449 - pyskl - INFO - Epoch [53][2000/2353] lr: 1.809e-02, eta: 1 day, 3:20:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9781, loss_cls: 2.8782, loss: 2.8782 +2025-06-03 14:00:20,739 - pyskl - INFO - Epoch [53][2100/2353] lr: 1.808e-02, eta: 1 day, 3:19:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9750, loss_cls: 2.8403, loss: 2.8403 +2025-06-03 14:01:03,818 - pyskl - INFO - Epoch [53][2200/2353] lr: 1.807e-02, eta: 1 day, 3:18:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9744, loss_cls: 2.9719, loss: 2.9719 +2025-06-03 14:01:46,935 - pyskl - INFO - Epoch [53][2300/2353] lr: 1.806e-02, eta: 1 day, 3:17:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9794, loss_cls: 2.8339, loss: 2.8339 +2025-06-03 14:02:10,359 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-06-03 14:03:35,924 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 14:03:36,000 - pyskl - INFO - +top1_acc 0.8854 +top5_acc 0.9903 +2025-06-03 14:03:36,003 - pyskl - INFO - Epoch(val) [53][1184] top1_acc: 0.8854, top5_acc: 0.9903 +2025-06-03 14:04:39,370 - pyskl - INFO - Epoch [54][100/2353] lr: 1.805e-02, eta: 1 day, 3:16:47, time: 0.634, data_time: 0.203, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9775, loss_cls: 2.7195, loss: 2.7195 +2025-06-03 14:05:22,546 - pyskl - INFO - Epoch [54][200/2353] lr: 1.804e-02, eta: 1 day, 3:16:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9800, loss_cls: 2.8147, loss: 2.8147 +2025-06-03 14:06:05,654 - pyskl - INFO - Epoch [54][300/2353] lr: 1.803e-02, eta: 1 day, 3:15:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9819, loss_cls: 2.8254, loss: 2.8254 +2025-06-03 14:06:48,784 - pyskl - INFO - Epoch [54][400/2353] lr: 1.802e-02, eta: 1 day, 3:14:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9756, loss_cls: 2.9120, loss: 2.9120 +2025-06-03 14:07:31,921 - pyskl - INFO - Epoch [54][500/2353] lr: 1.801e-02, eta: 1 day, 3:13:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9900, loss_cls: 2.9462, loss: 2.9462 +2025-06-03 14:08:15,038 - pyskl - INFO - Epoch [54][600/2353] lr: 1.800e-02, eta: 1 day, 3:13:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9719, loss_cls: 2.9916, loss: 2.9916 +2025-06-03 14:08:58,168 - pyskl - INFO - Epoch [54][700/2353] lr: 1.799e-02, eta: 1 day, 3:12:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9812, loss_cls: 2.9434, loss: 2.9434 +2025-06-03 14:09:41,394 - pyskl - INFO - Epoch [54][800/2353] lr: 1.798e-02, eta: 1 day, 3:11:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9806, loss_cls: 2.8718, loss: 2.8718 +2025-06-03 14:10:24,450 - pyskl - INFO - Epoch [54][900/2353] lr: 1.797e-02, eta: 1 day, 3:11:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9819, loss_cls: 2.8249, loss: 2.8249 +2025-06-03 14:11:07,538 - pyskl - INFO - Epoch [54][1000/2353] lr: 1.796e-02, eta: 1 day, 3:10:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9812, loss_cls: 2.8037, loss: 2.8037 +2025-06-03 14:11:50,802 - pyskl - INFO - Epoch [54][1100/2353] lr: 1.795e-02, eta: 1 day, 3:09:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9850, loss_cls: 2.9144, loss: 2.9144 +2025-06-03 14:12:34,096 - pyskl - INFO - Epoch [54][1200/2353] lr: 1.794e-02, eta: 1 day, 3:08:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9725, loss_cls: 2.9670, loss: 2.9670 +2025-06-03 14:13:17,223 - pyskl - INFO - Epoch [54][1300/2353] lr: 1.793e-02, eta: 1 day, 3:08:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9781, loss_cls: 2.8456, loss: 2.8456 +2025-06-03 14:14:00,215 - pyskl - INFO - Epoch [54][1400/2353] lr: 1.792e-02, eta: 1 day, 3:07:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9806, loss_cls: 2.9057, loss: 2.9057 +2025-06-03 14:14:43,263 - pyskl - INFO - Epoch [54][1500/2353] lr: 1.791e-02, eta: 1 day, 3:06:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9744, loss_cls: 3.0297, loss: 3.0297 +2025-06-03 14:15:26,170 - pyskl - INFO - Epoch [54][1600/2353] lr: 1.790e-02, eta: 1 day, 3:06:04, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9775, loss_cls: 2.9541, loss: 2.9541 +2025-06-03 14:16:09,279 - pyskl - INFO - Epoch [54][1700/2353] lr: 1.789e-02, eta: 1 day, 3:05:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9750, loss_cls: 2.9644, loss: 2.9644 +2025-06-03 14:16:52,442 - pyskl - INFO - Epoch [54][1800/2353] lr: 1.788e-02, eta: 1 day, 3:04:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9750, loss_cls: 2.9351, loss: 2.9351 +2025-06-03 14:17:35,663 - pyskl - INFO - Epoch [54][1900/2353] lr: 1.787e-02, eta: 1 day, 3:03:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9769, loss_cls: 2.9882, loss: 2.9882 +2025-06-03 14:18:18,658 - pyskl - INFO - Epoch [54][2000/2353] lr: 1.786e-02, eta: 1 day, 3:03:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9825, loss_cls: 2.8758, loss: 2.8758 +2025-06-03 14:19:01,678 - pyskl - INFO - Epoch [54][2100/2353] lr: 1.785e-02, eta: 1 day, 3:02:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9794, loss_cls: 2.8911, loss: 2.8911 +2025-06-03 14:19:44,717 - pyskl - INFO - Epoch [54][2200/2353] lr: 1.784e-02, eta: 1 day, 3:01:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9844, loss_cls: 2.7351, loss: 2.7351 +2025-06-03 14:20:27,833 - pyskl - INFO - Epoch [54][2300/2353] lr: 1.783e-02, eta: 1 day, 3:01:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 2.7675, loss: 2.7675 +2025-06-03 14:20:51,248 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-06-03 14:22:16,704 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 14:22:16,779 - pyskl - INFO - +top1_acc 0.8823 +top5_acc 0.9886 +2025-06-03 14:22:16,782 - pyskl - INFO - Epoch(val) [54][1184] top1_acc: 0.8823, top5_acc: 0.9886 +2025-06-03 14:23:20,054 - pyskl - INFO - Epoch [55][100/2353] lr: 1.781e-02, eta: 1 day, 2:59:52, time: 0.633, data_time: 0.203, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9819, loss_cls: 2.9194, loss: 2.9194 +2025-06-03 14:24:03,179 - pyskl - INFO - Epoch [55][200/2353] lr: 1.780e-02, eta: 1 day, 2:59:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 2.8061, loss: 2.8061 +2025-06-03 14:24:46,350 - pyskl - INFO - Epoch [55][300/2353] lr: 1.779e-02, eta: 1 day, 2:58:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9812, loss_cls: 2.7982, loss: 2.7982 +2025-06-03 14:25:29,448 - pyskl - INFO - Epoch [55][400/2353] lr: 1.778e-02, eta: 1 day, 2:57:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 2.9342, loss: 2.9342 +2025-06-03 14:26:12,655 - pyskl - INFO - Epoch [55][500/2353] lr: 1.777e-02, eta: 1 day, 2:57:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9850, loss_cls: 2.8565, loss: 2.8565 +2025-06-03 14:26:55,807 - pyskl - INFO - Epoch [55][600/2353] lr: 1.776e-02, eta: 1 day, 2:56:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9762, loss_cls: 2.9374, loss: 2.9374 +2025-06-03 14:27:38,878 - pyskl - INFO - Epoch [55][700/2353] lr: 1.775e-02, eta: 1 day, 2:55:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 2.7713, loss: 2.7713 +2025-06-03 14:28:21,930 - pyskl - INFO - Epoch [55][800/2353] lr: 1.774e-02, eta: 1 day, 2:54:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9812, loss_cls: 2.8830, loss: 2.8830 +2025-06-03 14:29:05,088 - pyskl - INFO - Epoch [55][900/2353] lr: 1.773e-02, eta: 1 day, 2:54:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9775, loss_cls: 2.9953, loss: 2.9953 +2025-06-03 14:29:48,174 - pyskl - INFO - Epoch [55][1000/2353] lr: 1.772e-02, eta: 1 day, 2:53:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9869, loss_cls: 2.7813, loss: 2.7813 +2025-06-03 14:30:31,370 - pyskl - INFO - Epoch [55][1100/2353] lr: 1.771e-02, eta: 1 day, 2:52:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9838, loss_cls: 2.8571, loss: 2.8571 +2025-06-03 14:31:14,911 - pyskl - INFO - Epoch [55][1200/2353] lr: 1.770e-02, eta: 1 day, 2:52:01, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9819, loss_cls: 2.8035, loss: 2.8035 +2025-06-03 14:31:58,291 - pyskl - INFO - Epoch [55][1300/2353] lr: 1.769e-02, eta: 1 day, 2:51:19, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9769, loss_cls: 2.9073, loss: 2.9073 +2025-06-03 14:32:41,314 - pyskl - INFO - Epoch [55][1400/2353] lr: 1.768e-02, eta: 1 day, 2:50:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9769, loss_cls: 2.8498, loss: 2.8498 +2025-06-03 14:33:24,368 - pyskl - INFO - Epoch [55][1500/2353] lr: 1.767e-02, eta: 1 day, 2:49:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9706, loss_cls: 2.9767, loss: 2.9767 +2025-06-03 14:34:07,489 - pyskl - INFO - Epoch [55][1600/2353] lr: 1.766e-02, eta: 1 day, 2:49:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9781, loss_cls: 2.9444, loss: 2.9444 +2025-06-03 14:34:50,590 - pyskl - INFO - Epoch [55][1700/2353] lr: 1.765e-02, eta: 1 day, 2:48:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9800, loss_cls: 3.0158, loss: 3.0158 +2025-06-03 14:35:33,780 - pyskl - INFO - Epoch [55][1800/2353] lr: 1.764e-02, eta: 1 day, 2:47:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9794, loss_cls: 2.8640, loss: 2.8640 +2025-06-03 14:36:17,258 - pyskl - INFO - Epoch [55][1900/2353] lr: 1.763e-02, eta: 1 day, 2:47:02, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 2.9209, loss: 2.9209 +2025-06-03 14:37:00,534 - pyskl - INFO - Epoch [55][2000/2353] lr: 1.762e-02, eta: 1 day, 2:46:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9800, loss_cls: 2.9005, loss: 2.9005 +2025-06-03 14:37:43,789 - pyskl - INFO - Epoch [55][2100/2353] lr: 1.761e-02, eta: 1 day, 2:45:36, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9794, loss_cls: 2.9970, loss: 2.9970 +2025-06-03 14:38:26,963 - pyskl - INFO - Epoch [55][2200/2353] lr: 1.760e-02, eta: 1 day, 2:44:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9750, loss_cls: 2.8379, loss: 2.8379 +2025-06-03 14:39:10,354 - pyskl - INFO - Epoch [55][2300/2353] lr: 1.759e-02, eta: 1 day, 2:44:11, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9744, loss_cls: 2.8121, loss: 2.8121 +2025-06-03 14:39:33,738 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-06-03 14:48:52,665 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 14:48:52,741 - pyskl - INFO - +top1_acc 0.8907 +top5_acc 0.9903 +2025-06-03 14:48:52,744 - pyskl - INFO - Epoch(val) [55][1184] top1_acc: 0.8907, top5_acc: 0.9903 +2025-06-03 14:49:56,675 - pyskl - INFO - Epoch [56][100/2353] lr: 1.757e-02, eta: 1 day, 2:43:02, time: 0.639, data_time: 0.208, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9825, loss_cls: 2.7054, loss: 2.7054 +2025-06-03 14:50:39,929 - pyskl - INFO - Epoch [56][200/2353] lr: 1.756e-02, eta: 1 day, 2:42:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9781, loss_cls: 2.7453, loss: 2.7453 +2025-06-03 14:51:23,078 - pyskl - INFO - Epoch [56][300/2353] lr: 1.755e-02, eta: 1 day, 2:41:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9762, loss_cls: 2.9092, loss: 2.9092 +2025-06-03 14:52:06,305 - pyskl - INFO - Epoch [56][400/2353] lr: 1.754e-02, eta: 1 day, 2:40:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9850, loss_cls: 2.8313, loss: 2.8313 +2025-06-03 14:52:49,424 - pyskl - INFO - Epoch [56][500/2353] lr: 1.753e-02, eta: 1 day, 2:40:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9788, loss_cls: 2.8525, loss: 2.8525 +2025-06-03 14:53:32,536 - pyskl - INFO - Epoch [56][600/2353] lr: 1.752e-02, eta: 1 day, 2:39:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9862, loss_cls: 2.8938, loss: 2.8938 +2025-06-03 14:54:15,771 - pyskl - INFO - Epoch [56][700/2353] lr: 1.751e-02, eta: 1 day, 2:38:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9869, loss_cls: 2.7832, loss: 2.7832 +2025-06-03 14:54:59,079 - pyskl - INFO - Epoch [56][800/2353] lr: 1.750e-02, eta: 1 day, 2:38:02, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9788, loss_cls: 2.8741, loss: 2.8741 +2025-06-03 14:55:42,217 - pyskl - INFO - Epoch [56][900/2353] lr: 1.749e-02, eta: 1 day, 2:37:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9788, loss_cls: 2.8638, loss: 2.8638 +2025-06-03 14:56:25,409 - pyskl - INFO - Epoch [56][1000/2353] lr: 1.748e-02, eta: 1 day, 2:36:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9781, loss_cls: 2.7781, loss: 2.7781 +2025-06-03 14:57:08,553 - pyskl - INFO - Epoch [56][1100/2353] lr: 1.747e-02, eta: 1 day, 2:35:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9819, loss_cls: 2.8915, loss: 2.8915 +2025-06-03 14:57:51,732 - pyskl - INFO - Epoch [56][1200/2353] lr: 1.746e-02, eta: 1 day, 2:35:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9806, loss_cls: 2.8254, loss: 2.8254 +2025-06-03 14:58:34,923 - pyskl - INFO - Epoch [56][1300/2353] lr: 1.745e-02, eta: 1 day, 2:34:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9812, loss_cls: 2.8135, loss: 2.8135 +2025-06-03 14:59:18,127 - pyskl - INFO - Epoch [56][1400/2353] lr: 1.744e-02, eta: 1 day, 2:33:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9894, loss_cls: 2.7507, loss: 2.7507 +2025-06-03 15:00:01,283 - pyskl - INFO - Epoch [56][1500/2353] lr: 1.743e-02, eta: 1 day, 2:33:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9825, loss_cls: 2.8955, loss: 2.8955 +2025-06-03 15:00:44,370 - pyskl - INFO - Epoch [56][1600/2353] lr: 1.742e-02, eta: 1 day, 2:32:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9812, loss_cls: 2.9128, loss: 2.9128 +2025-06-03 15:01:27,529 - pyskl - INFO - Epoch [56][1700/2353] lr: 1.741e-02, eta: 1 day, 2:31:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9881, loss_cls: 2.8737, loss: 2.8737 +2025-06-03 15:02:10,569 - pyskl - INFO - Epoch [56][1800/2353] lr: 1.740e-02, eta: 1 day, 2:30:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9788, loss_cls: 2.8609, loss: 2.8609 +2025-06-03 15:02:53,555 - pyskl - INFO - Epoch [56][1900/2353] lr: 1.739e-02, eta: 1 day, 2:30:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9775, loss_cls: 2.8661, loss: 2.8661 +2025-06-03 15:03:36,489 - pyskl - INFO - Epoch [56][2000/2353] lr: 1.738e-02, eta: 1 day, 2:29:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9819, loss_cls: 2.8697, loss: 2.8697 +2025-06-03 15:04:19,458 - pyskl - INFO - Epoch [56][2100/2353] lr: 1.737e-02, eta: 1 day, 2:28:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9769, loss_cls: 2.8682, loss: 2.8682 +2025-06-03 15:05:02,492 - pyskl - INFO - Epoch [56][2200/2353] lr: 1.736e-02, eta: 1 day, 2:28:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9819, loss_cls: 2.9138, loss: 2.9138 +2025-06-03 15:05:45,614 - pyskl - INFO - Epoch [56][2300/2353] lr: 1.735e-02, eta: 1 day, 2:27:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9769, loss_cls: 3.0390, loss: 3.0390 +2025-06-03 15:06:08,963 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-06-03 15:07:34,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 15:07:34,917 - pyskl - INFO - +top1_acc 0.8981 +top5_acc 0.9898 +2025-06-03 15:07:34,970 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_50.pth was removed +2025-06-03 15:07:35,964 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. +2025-06-03 15:07:35,965 - pyskl - INFO - Best top1_acc is 0.8981 at 56 epoch. +2025-06-03 15:07:35,967 - pyskl - INFO - Epoch(val) [56][1184] top1_acc: 0.8981, top5_acc: 0.9898 +2025-06-03 15:08:39,463 - pyskl - INFO - Epoch [57][100/2353] lr: 1.733e-02, eta: 1 day, 2:26:08, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9788, loss_cls: 2.9015, loss: 2.9015 +2025-06-03 15:09:22,479 - pyskl - INFO - Epoch [57][200/2353] lr: 1.732e-02, eta: 1 day, 2:25:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9781, loss_cls: 2.8545, loss: 2.8545 +2025-06-03 15:10:05,497 - pyskl - INFO - Epoch [57][300/2353] lr: 1.731e-02, eta: 1 day, 2:24:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 2.8387, loss: 2.8387 +2025-06-03 15:10:48,537 - pyskl - INFO - Epoch [57][400/2353] lr: 1.730e-02, eta: 1 day, 2:23:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9800, loss_cls: 2.7975, loss: 2.7975 +2025-06-03 15:11:31,562 - pyskl - INFO - Epoch [57][500/2353] lr: 1.729e-02, eta: 1 day, 2:23:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 2.8290, loss: 2.8290 +2025-06-03 15:12:14,591 - pyskl - INFO - Epoch [57][600/2353] lr: 1.728e-02, eta: 1 day, 2:22:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9825, loss_cls: 2.7909, loss: 2.7909 +2025-06-03 15:12:57,646 - pyskl - INFO - Epoch [57][700/2353] lr: 1.727e-02, eta: 1 day, 2:21:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9788, loss_cls: 2.8880, loss: 2.8880 +2025-06-03 15:13:40,634 - pyskl - INFO - Epoch [57][800/2353] lr: 1.726e-02, eta: 1 day, 2:21:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9750, loss_cls: 2.9335, loss: 2.9335 +2025-06-03 15:14:23,637 - pyskl - INFO - Epoch [57][900/2353] lr: 1.725e-02, eta: 1 day, 2:20:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9912, loss_cls: 2.7464, loss: 2.7464 +2025-06-03 15:15:06,700 - pyskl - INFO - Epoch [57][1000/2353] lr: 1.724e-02, eta: 1 day, 2:19:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 2.7457, loss: 2.7457 +2025-06-03 15:15:49,856 - pyskl - INFO - Epoch [57][1100/2353] lr: 1.723e-02, eta: 1 day, 2:18:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 2.8035, loss: 2.8035 +2025-06-03 15:16:32,972 - pyskl - INFO - Epoch [57][1200/2353] lr: 1.722e-02, eta: 1 day, 2:18:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9750, loss_cls: 2.9102, loss: 2.9102 +2025-06-03 15:17:16,051 - pyskl - INFO - Epoch [57][1300/2353] lr: 1.721e-02, eta: 1 day, 2:17:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9819, loss_cls: 2.7872, loss: 2.7872 +2025-06-03 15:17:59,174 - pyskl - INFO - Epoch [57][1400/2353] lr: 1.720e-02, eta: 1 day, 2:16:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9850, loss_cls: 2.8172, loss: 2.8172 +2025-06-03 15:18:42,451 - pyskl - INFO - Epoch [57][1500/2353] lr: 1.719e-02, eta: 1 day, 2:16:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9831, loss_cls: 2.8708, loss: 2.8708 +2025-06-03 15:19:25,575 - pyskl - INFO - Epoch [57][1600/2353] lr: 1.718e-02, eta: 1 day, 2:15:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9819, loss_cls: 2.8243, loss: 2.8243 +2025-06-03 15:20:08,724 - pyskl - INFO - Epoch [57][1700/2353] lr: 1.717e-02, eta: 1 day, 2:14:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9750, loss_cls: 2.8846, loss: 2.8846 +2025-06-03 15:20:51,905 - pyskl - INFO - Epoch [57][1800/2353] lr: 1.716e-02, eta: 1 day, 2:13:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9775, loss_cls: 2.9660, loss: 2.9660 +2025-06-03 15:21:35,146 - pyskl - INFO - Epoch [57][1900/2353] lr: 1.715e-02, eta: 1 day, 2:13:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9762, loss_cls: 2.9435, loss: 2.9435 +2025-06-03 15:22:18,440 - pyskl - INFO - Epoch [57][2000/2353] lr: 1.714e-02, eta: 1 day, 2:12:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9794, loss_cls: 2.9921, loss: 2.9921 +2025-06-03 15:23:01,666 - pyskl - INFO - Epoch [57][2100/2353] lr: 1.713e-02, eta: 1 day, 2:11:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9750, loss_cls: 2.8093, loss: 2.8093 +2025-06-03 15:23:44,898 - pyskl - INFO - Epoch [57][2200/2353] lr: 1.712e-02, eta: 1 day, 2:11:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9825, loss_cls: 2.8063, loss: 2.8063 +2025-06-03 15:24:28,034 - pyskl - INFO - Epoch [57][2300/2353] lr: 1.711e-02, eta: 1 day, 2:10:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9781, loss_cls: 2.8558, loss: 2.8558 +2025-06-03 15:24:51,510 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-06-03 15:26:16,884 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 15:26:16,959 - pyskl - INFO - +top1_acc 0.8531 +top5_acc 0.9853 +2025-06-03 15:26:16,963 - pyskl - INFO - Epoch(val) [57][1184] top1_acc: 0.8531, top5_acc: 0.9853 +2025-06-03 15:27:20,675 - pyskl - INFO - Epoch [58][100/2353] lr: 1.709e-02, eta: 1 day, 2:09:14, time: 0.637, data_time: 0.204, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 2.8286, loss: 2.8286 +2025-06-03 15:28:03,858 - pyskl - INFO - Epoch [58][200/2353] lr: 1.708e-02, eta: 1 day, 2:08:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9788, loss_cls: 2.8476, loss: 2.8476 +2025-06-03 15:28:47,107 - pyskl - INFO - Epoch [58][300/2353] lr: 1.707e-02, eta: 1 day, 2:07:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9788, loss_cls: 2.9517, loss: 2.9517 +2025-06-03 15:29:30,514 - pyskl - INFO - Epoch [58][400/2353] lr: 1.706e-02, eta: 1 day, 2:07:06, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 2.8243, loss: 2.8243 +2025-06-03 15:30:13,671 - pyskl - INFO - Epoch [58][500/2353] lr: 1.705e-02, eta: 1 day, 2:06:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9850, loss_cls: 2.7990, loss: 2.7990 +2025-06-03 15:30:56,869 - pyskl - INFO - Epoch [58][600/2353] lr: 1.704e-02, eta: 1 day, 2:05:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9800, loss_cls: 2.8252, loss: 2.8252 +2025-06-03 15:31:39,993 - pyskl - INFO - Epoch [58][700/2353] lr: 1.703e-02, eta: 1 day, 2:04:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9769, loss_cls: 2.9441, loss: 2.9441 +2025-06-03 15:32:23,074 - pyskl - INFO - Epoch [58][800/2353] lr: 1.702e-02, eta: 1 day, 2:04:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 2.8626, loss: 2.8626 +2025-06-03 15:33:06,139 - pyskl - INFO - Epoch [58][900/2353] lr: 1.701e-02, eta: 1 day, 2:03:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9856, loss_cls: 2.7672, loss: 2.7672 +2025-06-03 15:33:49,239 - pyskl - INFO - Epoch [58][1000/2353] lr: 1.700e-02, eta: 1 day, 2:02:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9788, loss_cls: 2.8417, loss: 2.8417 +2025-06-03 15:34:32,187 - pyskl - INFO - Epoch [58][1100/2353] lr: 1.699e-02, eta: 1 day, 2:02:05, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9825, loss_cls: 2.6872, loss: 2.6872 +2025-06-03 15:35:15,201 - pyskl - INFO - Epoch [58][1200/2353] lr: 1.698e-02, eta: 1 day, 2:01:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9812, loss_cls: 2.8445, loss: 2.8445 +2025-06-03 15:35:58,265 - pyskl - INFO - Epoch [58][1300/2353] lr: 1.697e-02, eta: 1 day, 2:00:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9800, loss_cls: 2.8527, loss: 2.8527 +2025-06-03 15:36:41,348 - pyskl - INFO - Epoch [58][1400/2353] lr: 1.696e-02, eta: 1 day, 1:59:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9838, loss_cls: 2.8995, loss: 2.8995 +2025-06-03 15:37:24,467 - pyskl - INFO - Epoch [58][1500/2353] lr: 1.695e-02, eta: 1 day, 1:59:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9788, loss_cls: 2.8158, loss: 2.8158 +2025-06-03 15:38:07,553 - pyskl - INFO - Epoch [58][1600/2353] lr: 1.694e-02, eta: 1 day, 1:58:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9869, loss_cls: 2.7999, loss: 2.7999 +2025-06-03 15:38:50,502 - pyskl - INFO - Epoch [58][1700/2353] lr: 1.693e-02, eta: 1 day, 1:57:47, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9844, loss_cls: 2.7082, loss: 2.7082 +2025-06-03 15:39:33,607 - pyskl - INFO - Epoch [58][1800/2353] lr: 1.691e-02, eta: 1 day, 1:57:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9769, loss_cls: 2.8680, loss: 2.8680 +2025-06-03 15:40:16,573 - pyskl - INFO - Epoch [58][1900/2353] lr: 1.690e-02, eta: 1 day, 1:56:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9700, loss_cls: 2.9749, loss: 2.9749 +2025-06-03 15:40:59,584 - pyskl - INFO - Epoch [58][2000/2353] lr: 1.689e-02, eta: 1 day, 1:55:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9806, loss_cls: 2.7856, loss: 2.7856 +2025-06-03 15:41:42,660 - pyskl - INFO - Epoch [58][2100/2353] lr: 1.688e-02, eta: 1 day, 1:54:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9838, loss_cls: 2.8199, loss: 2.8199 +2025-06-03 15:42:25,644 - pyskl - INFO - Epoch [58][2200/2353] lr: 1.687e-02, eta: 1 day, 1:54:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9831, loss_cls: 2.7735, loss: 2.7735 +2025-06-03 15:43:08,743 - pyskl - INFO - Epoch [58][2300/2353] lr: 1.686e-02, eta: 1 day, 1:53:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9788, loss_cls: 2.9111, loss: 2.9111 +2025-06-03 15:43:32,185 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-06-03 15:44:57,299 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 15:44:57,375 - pyskl - INFO - +top1_acc 0.8758 +top5_acc 0.9882 +2025-06-03 15:44:57,378 - pyskl - INFO - Epoch(val) [58][1184] top1_acc: 0.8758, top5_acc: 0.9882 +2025-06-03 15:46:01,454 - pyskl - INFO - Epoch [59][100/2353] lr: 1.685e-02, eta: 1 day, 1:52:20, time: 0.641, data_time: 0.208, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9850, loss_cls: 2.8066, loss: 2.8066 +2025-06-03 15:46:44,624 - pyskl - INFO - Epoch [59][200/2353] lr: 1.684e-02, eta: 1 day, 1:51:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9806, loss_cls: 2.7668, loss: 2.7668 +2025-06-03 15:47:27,721 - pyskl - INFO - Epoch [59][300/2353] lr: 1.683e-02, eta: 1 day, 1:50:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9838, loss_cls: 2.8357, loss: 2.8357 +2025-06-03 15:48:10,879 - pyskl - INFO - Epoch [59][400/2353] lr: 1.682e-02, eta: 1 day, 1:50:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9806, loss_cls: 2.6904, loss: 2.6904 +2025-06-03 15:48:54,002 - pyskl - INFO - Epoch [59][500/2353] lr: 1.681e-02, eta: 1 day, 1:49:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9806, loss_cls: 2.7384, loss: 2.7384 +2025-06-03 15:49:37,151 - pyskl - INFO - Epoch [59][600/2353] lr: 1.679e-02, eta: 1 day, 1:48:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 2.8568, loss: 2.8568 +2025-06-03 15:50:20,217 - pyskl - INFO - Epoch [59][700/2353] lr: 1.678e-02, eta: 1 day, 1:48:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9812, loss_cls: 2.8825, loss: 2.8825 +2025-06-03 15:51:03,324 - pyskl - INFO - Epoch [59][800/2353] lr: 1.677e-02, eta: 1 day, 1:47:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9819, loss_cls: 2.7801, loss: 2.7801 +2025-06-03 15:51:46,435 - pyskl - INFO - Epoch [59][900/2353] lr: 1.676e-02, eta: 1 day, 1:46:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9831, loss_cls: 2.9201, loss: 2.9201 +2025-06-03 15:52:29,697 - pyskl - INFO - Epoch [59][1000/2353] lr: 1.675e-02, eta: 1 day, 1:45:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9781, loss_cls: 2.7472, loss: 2.7472 +2025-06-03 15:53:12,844 - pyskl - INFO - Epoch [59][1100/2353] lr: 1.674e-02, eta: 1 day, 1:45:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 2.7668, loss: 2.7668 +2025-06-03 15:53:56,186 - pyskl - INFO - Epoch [59][1200/2353] lr: 1.673e-02, eta: 1 day, 1:44:29, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9806, loss_cls: 2.7639, loss: 2.7639 +2025-06-03 15:54:39,332 - pyskl - INFO - Epoch [59][1300/2353] lr: 1.672e-02, eta: 1 day, 1:43:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9819, loss_cls: 2.7364, loss: 2.7364 +2025-06-03 15:55:22,494 - pyskl - INFO - Epoch [59][1400/2353] lr: 1.671e-02, eta: 1 day, 1:43:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9788, loss_cls: 2.8217, loss: 2.8217 +2025-06-03 15:56:05,687 - pyskl - INFO - Epoch [59][1500/2353] lr: 1.670e-02, eta: 1 day, 1:42:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 2.9040, loss: 2.9040 +2025-06-03 15:56:48,897 - pyskl - INFO - Epoch [59][1600/2353] lr: 1.669e-02, eta: 1 day, 1:41:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9819, loss_cls: 2.7803, loss: 2.7803 +2025-06-03 15:57:31,997 - pyskl - INFO - Epoch [59][1700/2353] lr: 1.668e-02, eta: 1 day, 1:40:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9794, loss_cls: 2.8239, loss: 2.8239 +2025-06-03 15:58:15,037 - pyskl - INFO - Epoch [59][1800/2353] lr: 1.667e-02, eta: 1 day, 1:40:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9800, loss_cls: 2.8664, loss: 2.8664 +2025-06-03 15:58:58,085 - pyskl - INFO - Epoch [59][1900/2353] lr: 1.666e-02, eta: 1 day, 1:39:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9781, loss_cls: 2.8397, loss: 2.8397 +2025-06-03 15:59:41,193 - pyskl - INFO - Epoch [59][2000/2353] lr: 1.665e-02, eta: 1 day, 1:38:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9831, loss_cls: 2.8154, loss: 2.8154 +2025-06-03 16:00:24,238 - pyskl - INFO - Epoch [59][2100/2353] lr: 1.664e-02, eta: 1 day, 1:38:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 2.8603, loss: 2.8603 +2025-06-03 16:01:07,366 - pyskl - INFO - Epoch [59][2200/2353] lr: 1.663e-02, eta: 1 day, 1:37:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9812, loss_cls: 2.8245, loss: 2.8245 +2025-06-03 16:01:50,555 - pyskl - INFO - Epoch [59][2300/2353] lr: 1.662e-02, eta: 1 day, 1:36:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9775, loss_cls: 2.9640, loss: 2.9640 +2025-06-03 16:02:14,003 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-06-03 16:03:39,295 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 16:03:39,369 - pyskl - INFO - +top1_acc 0.8931 +top5_acc 0.9912 +2025-06-03 16:03:39,372 - pyskl - INFO - Epoch(val) [59][1184] top1_acc: 0.8931, top5_acc: 0.9912 +2025-06-03 16:04:42,794 - pyskl - INFO - Epoch [60][100/2353] lr: 1.660e-02, eta: 1 day, 1:35:27, time: 0.634, data_time: 0.202, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9812, loss_cls: 2.6865, loss: 2.6865 +2025-06-03 16:05:25,846 - pyskl - INFO - Epoch [60][200/2353] lr: 1.659e-02, eta: 1 day, 1:34:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 2.6961, loss: 2.6961 +2025-06-03 16:06:09,005 - pyskl - INFO - Epoch [60][300/2353] lr: 1.658e-02, eta: 1 day, 1:34:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 2.8508, loss: 2.8508 +2025-06-03 16:06:52,175 - pyskl - INFO - Epoch [60][400/2353] lr: 1.657e-02, eta: 1 day, 1:33:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9819, loss_cls: 2.7978, loss: 2.7978 +2025-06-03 16:07:35,249 - pyskl - INFO - Epoch [60][500/2353] lr: 1.656e-02, eta: 1 day, 1:32:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9812, loss_cls: 2.8616, loss: 2.8616 +2025-06-03 16:08:18,393 - pyskl - INFO - Epoch [60][600/2353] lr: 1.655e-02, eta: 1 day, 1:31:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9794, loss_cls: 2.8420, loss: 2.8420 +2025-06-03 16:09:01,566 - pyskl - INFO - Epoch [60][700/2353] lr: 1.654e-02, eta: 1 day, 1:31:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9800, loss_cls: 2.7226, loss: 2.7226 +2025-06-03 16:09:44,777 - pyskl - INFO - Epoch [60][800/2353] lr: 1.653e-02, eta: 1 day, 1:30:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9825, loss_cls: 2.8448, loss: 2.8448 +2025-06-03 16:10:28,089 - pyskl - INFO - Epoch [60][900/2353] lr: 1.652e-02, eta: 1 day, 1:29:44, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9788, loss_cls: 2.7502, loss: 2.7502 +2025-06-03 16:11:11,354 - pyskl - INFO - Epoch [60][1000/2353] lr: 1.651e-02, eta: 1 day, 1:29:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9825, loss_cls: 2.6476, loss: 2.6476 +2025-06-03 16:11:54,457 - pyskl - INFO - Epoch [60][1100/2353] lr: 1.650e-02, eta: 1 day, 1:28:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9831, loss_cls: 2.7305, loss: 2.7305 +2025-06-03 16:12:37,766 - pyskl - INFO - Epoch [60][1200/2353] lr: 1.648e-02, eta: 1 day, 1:27:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9750, loss_cls: 2.8293, loss: 2.8293 +2025-06-03 16:13:21,083 - pyskl - INFO - Epoch [60][1300/2353] lr: 1.647e-02, eta: 1 day, 1:26:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9800, loss_cls: 2.8176, loss: 2.8176 +2025-06-03 16:14:04,419 - pyskl - INFO - Epoch [60][1400/2353] lr: 1.646e-02, eta: 1 day, 1:26:10, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9856, loss_cls: 2.7700, loss: 2.7700 +2025-06-03 16:14:47,546 - pyskl - INFO - Epoch [60][1500/2353] lr: 1.645e-02, eta: 1 day, 1:25:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9769, loss_cls: 2.8990, loss: 2.8990 +2025-06-03 16:15:30,688 - pyskl - INFO - Epoch [60][1600/2353] lr: 1.644e-02, eta: 1 day, 1:24:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9838, loss_cls: 2.7988, loss: 2.7988 +2025-06-03 16:16:13,985 - pyskl - INFO - Epoch [60][1700/2353] lr: 1.643e-02, eta: 1 day, 1:24:02, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9750, loss_cls: 2.9296, loss: 2.9296 +2025-06-03 16:16:57,192 - pyskl - INFO - Epoch [60][1800/2353] lr: 1.642e-02, eta: 1 day, 1:23:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9788, loss_cls: 2.8680, loss: 2.8680 +2025-06-03 16:17:40,410 - pyskl - INFO - Epoch [60][1900/2353] lr: 1.641e-02, eta: 1 day, 1:22:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9888, loss_cls: 2.7795, loss: 2.7795 +2025-06-03 16:18:23,715 - pyskl - INFO - Epoch [60][2000/2353] lr: 1.640e-02, eta: 1 day, 1:21:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9881, loss_cls: 2.6688, loss: 2.6688 +2025-06-03 16:19:06,836 - pyskl - INFO - Epoch [60][2100/2353] lr: 1.639e-02, eta: 1 day, 1:21:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9838, loss_cls: 2.8409, loss: 2.8409 +2025-06-03 16:19:50,051 - pyskl - INFO - Epoch [60][2200/2353] lr: 1.638e-02, eta: 1 day, 1:20:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9844, loss_cls: 2.8404, loss: 2.8404 +2025-06-03 16:20:33,418 - pyskl - INFO - Epoch [60][2300/2353] lr: 1.637e-02, eta: 1 day, 1:19:45, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9819, loss_cls: 2.8957, loss: 2.8957 +2025-06-03 16:20:56,807 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-06-03 16:29:47,388 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 16:29:47,462 - pyskl - INFO - +top1_acc 0.8920 +top5_acc 0.9882 +2025-06-03 16:29:47,465 - pyskl - INFO - Epoch(val) [60][1184] top1_acc: 0.8920, top5_acc: 0.9882 +2025-06-03 16:30:50,733 - pyskl - INFO - Epoch [61][100/2353] lr: 1.635e-02, eta: 1 day, 1:18:35, time: 0.633, data_time: 0.203, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9831, loss_cls: 2.8229, loss: 2.8229 +2025-06-03 16:31:33,900 - pyskl - INFO - Epoch [61][200/2353] lr: 1.634e-02, eta: 1 day, 1:17:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 2.8175, loss: 2.8175 +2025-06-03 16:32:17,126 - pyskl - INFO - Epoch [61][300/2353] lr: 1.633e-02, eta: 1 day, 1:17:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9825, loss_cls: 2.7265, loss: 2.7265 +2025-06-03 16:33:00,112 - pyskl - INFO - Epoch [61][400/2353] lr: 1.632e-02, eta: 1 day, 1:16:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9800, loss_cls: 2.8020, loss: 2.8020 +2025-06-03 16:33:43,082 - pyskl - INFO - Epoch [61][500/2353] lr: 1.631e-02, eta: 1 day, 1:15:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9825, loss_cls: 2.7225, loss: 2.7225 +2025-06-03 16:34:25,951 - pyskl - INFO - Epoch [61][600/2353] lr: 1.630e-02, eta: 1 day, 1:15:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9831, loss_cls: 2.7818, loss: 2.7818 +2025-06-03 16:35:08,959 - pyskl - INFO - Epoch [61][700/2353] lr: 1.629e-02, eta: 1 day, 1:14:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9831, loss_cls: 2.6930, loss: 2.6930 +2025-06-03 16:35:51,880 - pyskl - INFO - Epoch [61][800/2353] lr: 1.628e-02, eta: 1 day, 1:13:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 2.7549, loss: 2.7549 +2025-06-03 16:36:34,939 - pyskl - INFO - Epoch [61][900/2353] lr: 1.627e-02, eta: 1 day, 1:12:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9794, loss_cls: 2.7736, loss: 2.7736 +2025-06-03 16:37:17,943 - pyskl - INFO - Epoch [61][1000/2353] lr: 1.626e-02, eta: 1 day, 1:12:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9819, loss_cls: 2.8259, loss: 2.8259 +2025-06-03 16:38:00,970 - pyskl - INFO - Epoch [61][1100/2353] lr: 1.625e-02, eta: 1 day, 1:11:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9781, loss_cls: 2.7812, loss: 2.7812 +2025-06-03 16:38:44,155 - pyskl - INFO - Epoch [61][1200/2353] lr: 1.624e-02, eta: 1 day, 1:10:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9794, loss_cls: 2.7655, loss: 2.7655 +2025-06-03 16:39:27,378 - pyskl - INFO - Epoch [61][1300/2353] lr: 1.623e-02, eta: 1 day, 1:09:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9800, loss_cls: 2.8167, loss: 2.8167 +2025-06-03 16:40:10,541 - pyskl - INFO - Epoch [61][1400/2353] lr: 1.621e-02, eta: 1 day, 1:09:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9800, loss_cls: 2.8094, loss: 2.8094 +2025-06-03 16:40:53,763 - pyskl - INFO - Epoch [61][1500/2353] lr: 1.620e-02, eta: 1 day, 1:08:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9738, loss_cls: 2.8767, loss: 2.8767 +2025-06-03 16:41:36,923 - pyskl - INFO - Epoch [61][1600/2353] lr: 1.619e-02, eta: 1 day, 1:07:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9875, loss_cls: 2.7933, loss: 2.7933 +2025-06-03 16:42:19,914 - pyskl - INFO - Epoch [61][1700/2353] lr: 1.618e-02, eta: 1 day, 1:07:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9800, loss_cls: 2.9382, loss: 2.9382 +2025-06-03 16:43:03,010 - pyskl - INFO - Epoch [61][1800/2353] lr: 1.617e-02, eta: 1 day, 1:06:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9794, loss_cls: 2.7631, loss: 2.7631 +2025-06-03 16:43:46,067 - pyskl - INFO - Epoch [61][1900/2353] lr: 1.616e-02, eta: 1 day, 1:05:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9794, loss_cls: 2.8638, loss: 2.8638 +2025-06-03 16:44:29,133 - pyskl - INFO - Epoch [61][2000/2353] lr: 1.615e-02, eta: 1 day, 1:04:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9788, loss_cls: 2.7974, loss: 2.7974 +2025-06-03 16:45:12,222 - pyskl - INFO - Epoch [61][2100/2353] lr: 1.614e-02, eta: 1 day, 1:04:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9812, loss_cls: 2.7867, loss: 2.7867 +2025-06-03 16:45:55,297 - pyskl - INFO - Epoch [61][2200/2353] lr: 1.613e-02, eta: 1 day, 1:03:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9725, loss_cls: 2.7972, loss: 2.7972 +2025-06-03 16:46:38,381 - pyskl - INFO - Epoch [61][2300/2353] lr: 1.612e-02, eta: 1 day, 1:02:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 2.8206, loss: 2.8206 +2025-06-03 16:47:01,760 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-06-03 16:48:27,081 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 16:48:27,156 - pyskl - INFO - +top1_acc 0.9000 +top5_acc 0.9919 +2025-06-03 16:48:27,213 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_56.pth was removed +2025-06-03 16:48:28,244 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_61.pth. +2025-06-03 16:48:28,244 - pyskl - INFO - Best top1_acc is 0.9000 at 61 epoch. +2025-06-03 16:48:28,247 - pyskl - INFO - Epoch(val) [61][1184] top1_acc: 0.9000, top5_acc: 0.9919 +2025-06-03 16:49:31,972 - pyskl - INFO - Epoch [62][100/2353] lr: 1.610e-02, eta: 1 day, 1:01:40, time: 0.637, data_time: 0.205, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 2.7529, loss: 2.7529 +2025-06-03 16:50:15,330 - pyskl - INFO - Epoch [62][200/2353] lr: 1.609e-02, eta: 1 day, 1:00:58, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9819, loss_cls: 2.7772, loss: 2.7772 +2025-06-03 16:50:58,548 - pyskl - INFO - Epoch [62][300/2353] lr: 1.608e-02, eta: 1 day, 1:00:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9825, loss_cls: 2.7483, loss: 2.7483 +2025-06-03 16:51:41,813 - pyskl - INFO - Epoch [62][400/2353] lr: 1.607e-02, eta: 1 day, 0:59:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9856, loss_cls: 2.7709, loss: 2.7709 +2025-06-03 16:52:25,024 - pyskl - INFO - Epoch [62][500/2353] lr: 1.606e-02, eta: 1 day, 0:58:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9875, loss_cls: 2.8456, loss: 2.8456 +2025-06-03 16:53:08,213 - pyskl - INFO - Epoch [62][600/2353] lr: 1.605e-02, eta: 1 day, 0:58:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9819, loss_cls: 2.7205, loss: 2.7205 +2025-06-03 16:53:51,417 - pyskl - INFO - Epoch [62][700/2353] lr: 1.604e-02, eta: 1 day, 0:57:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9769, loss_cls: 2.8769, loss: 2.8769 +2025-06-03 16:54:34,573 - pyskl - INFO - Epoch [62][800/2353] lr: 1.603e-02, eta: 1 day, 0:56:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9812, loss_cls: 2.8323, loss: 2.8323 +2025-06-03 16:55:17,749 - pyskl - INFO - Epoch [62][900/2353] lr: 1.602e-02, eta: 1 day, 0:55:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 2.8471, loss: 2.8471 +2025-06-03 16:56:00,843 - pyskl - INFO - Epoch [62][1000/2353] lr: 1.601e-02, eta: 1 day, 0:55:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9831, loss_cls: 2.7339, loss: 2.7339 +2025-06-03 16:56:44,008 - pyskl - INFO - Epoch [62][1100/2353] lr: 1.600e-02, eta: 1 day, 0:54:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 2.7781, loss: 2.7781 +2025-06-03 16:57:27,269 - pyskl - INFO - Epoch [62][1200/2353] lr: 1.598e-02, eta: 1 day, 0:53:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9788, loss_cls: 2.7973, loss: 2.7973 +2025-06-03 16:58:10,522 - pyskl - INFO - Epoch [62][1300/2353] lr: 1.597e-02, eta: 1 day, 0:53:07, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9775, loss_cls: 2.8153, loss: 2.8153 +2025-06-03 16:58:53,747 - pyskl - INFO - Epoch [62][1400/2353] lr: 1.596e-02, eta: 1 day, 0:52:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9831, loss_cls: 2.8627, loss: 2.8627 +2025-06-03 16:59:36,932 - pyskl - INFO - Epoch [62][1500/2353] lr: 1.595e-02, eta: 1 day, 0:51:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9750, loss_cls: 2.7735, loss: 2.7735 +2025-06-03 17:00:20,010 - pyskl - INFO - Epoch [62][1600/2353] lr: 1.594e-02, eta: 1 day, 0:50:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 2.7919, loss: 2.7919 +2025-06-03 17:01:03,128 - pyskl - INFO - Epoch [62][1700/2353] lr: 1.593e-02, eta: 1 day, 0:50:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9762, loss_cls: 2.8213, loss: 2.8213 +2025-06-03 17:01:46,350 - pyskl - INFO - Epoch [62][1800/2353] lr: 1.592e-02, eta: 1 day, 0:49:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9894, loss_cls: 2.6760, loss: 2.6760 +2025-06-03 17:02:29,453 - pyskl - INFO - Epoch [62][1900/2353] lr: 1.591e-02, eta: 1 day, 0:48:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9838, loss_cls: 2.7699, loss: 2.7699 +2025-06-03 17:03:12,567 - pyskl - INFO - Epoch [62][2000/2353] lr: 1.590e-02, eta: 1 day, 0:48:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9756, loss_cls: 2.8777, loss: 2.8777 +2025-06-03 17:03:55,766 - pyskl - INFO - Epoch [62][2100/2353] lr: 1.589e-02, eta: 1 day, 0:47:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9838, loss_cls: 2.7970, loss: 2.7970 +2025-06-03 17:04:38,688 - pyskl - INFO - Epoch [62][2200/2353] lr: 1.588e-02, eta: 1 day, 0:46:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9812, loss_cls: 2.7844, loss: 2.7844 +2025-06-03 17:05:21,842 - pyskl - INFO - Epoch [62][2300/2353] lr: 1.587e-02, eta: 1 day, 0:45:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9819, loss_cls: 2.7675, loss: 2.7675 +2025-06-03 17:05:45,316 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-06-03 17:07:10,380 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 17:07:10,454 - pyskl - INFO - +top1_acc 0.8931 +top5_acc 0.9896 +2025-06-03 17:07:10,457 - pyskl - INFO - Epoch(val) [62][1184] top1_acc: 0.8931, top5_acc: 0.9896 +2025-06-03 17:08:13,468 - pyskl - INFO - Epoch [63][100/2353] lr: 1.585e-02, eta: 1 day, 0:44:47, time: 0.630, data_time: 0.201, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9862, loss_cls: 2.6482, loss: 2.6482 +2025-06-03 17:08:56,674 - pyskl - INFO - Epoch [63][200/2353] lr: 1.584e-02, eta: 1 day, 0:44:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 2.7495, loss: 2.7495 +2025-06-03 17:09:39,943 - pyskl - INFO - Epoch [63][300/2353] lr: 1.583e-02, eta: 1 day, 0:43:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9819, loss_cls: 2.7267, loss: 2.7267 +2025-06-03 17:10:23,119 - pyskl - INFO - Epoch [63][400/2353] lr: 1.582e-02, eta: 1 day, 0:42:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 2.6818, loss: 2.6818 +2025-06-03 17:11:06,262 - pyskl - INFO - Epoch [63][500/2353] lr: 1.581e-02, eta: 1 day, 0:41:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9750, loss_cls: 2.8298, loss: 2.8298 +2025-06-03 17:11:49,369 - pyskl - INFO - Epoch [63][600/2353] lr: 1.580e-02, eta: 1 day, 0:41:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9800, loss_cls: 2.8428, loss: 2.8428 +2025-06-03 17:12:32,411 - pyskl - INFO - Epoch [63][700/2353] lr: 1.579e-02, eta: 1 day, 0:40:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9894, loss_cls: 2.6775, loss: 2.6775 +2025-06-03 17:13:15,442 - pyskl - INFO - Epoch [63][800/2353] lr: 1.578e-02, eta: 1 day, 0:39:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9831, loss_cls: 2.6848, loss: 2.6848 +2025-06-03 17:13:58,556 - pyskl - INFO - Epoch [63][900/2353] lr: 1.577e-02, eta: 1 day, 0:39:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9800, loss_cls: 2.7640, loss: 2.7640 +2025-06-03 17:14:41,610 - pyskl - INFO - Epoch [63][1000/2353] lr: 1.575e-02, eta: 1 day, 0:38:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9831, loss_cls: 2.7769, loss: 2.7769 +2025-06-03 17:15:24,727 - pyskl - INFO - Epoch [63][1100/2353] lr: 1.574e-02, eta: 1 day, 0:37:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9812, loss_cls: 2.7740, loss: 2.7740 +2025-06-03 17:16:07,903 - pyskl - INFO - Epoch [63][1200/2353] lr: 1.573e-02, eta: 1 day, 0:36:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9838, loss_cls: 2.7670, loss: 2.7670 +2025-06-03 17:16:50,943 - pyskl - INFO - Epoch [63][1300/2353] lr: 1.572e-02, eta: 1 day, 0:36:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 2.8221, loss: 2.8221 +2025-06-03 17:17:34,183 - pyskl - INFO - Epoch [63][1400/2353] lr: 1.571e-02, eta: 1 day, 0:35:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9825, loss_cls: 2.7367, loss: 2.7367 +2025-06-03 17:18:17,368 - pyskl - INFO - Epoch [63][1500/2353] lr: 1.570e-02, eta: 1 day, 0:34:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9862, loss_cls: 2.7530, loss: 2.7530 +2025-06-03 17:19:00,486 - pyskl - INFO - Epoch [63][1600/2353] lr: 1.569e-02, eta: 1 day, 0:34:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9838, loss_cls: 2.8430, loss: 2.8430 +2025-06-03 17:19:43,595 - pyskl - INFO - Epoch [63][1700/2353] lr: 1.568e-02, eta: 1 day, 0:33:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 2.7879, loss: 2.7879 +2025-06-03 17:20:26,795 - pyskl - INFO - Epoch [63][1800/2353] lr: 1.567e-02, eta: 1 day, 0:32:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9800, loss_cls: 2.7195, loss: 2.7195 +2025-06-03 17:21:10,051 - pyskl - INFO - Epoch [63][1900/2353] lr: 1.566e-02, eta: 1 day, 0:31:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9819, loss_cls: 2.6978, loss: 2.6978 +2025-06-03 17:21:53,159 - pyskl - INFO - Epoch [63][2000/2353] lr: 1.565e-02, eta: 1 day, 0:31:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9869, loss_cls: 2.7674, loss: 2.7674 +2025-06-03 17:22:36,281 - pyskl - INFO - Epoch [63][2100/2353] lr: 1.564e-02, eta: 1 day, 0:30:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 2.8077, loss: 2.8077 +2025-06-03 17:23:19,530 - pyskl - INFO - Epoch [63][2200/2353] lr: 1.563e-02, eta: 1 day, 0:29:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9900, loss_cls: 2.7725, loss: 2.7725 +2025-06-03 17:24:02,686 - pyskl - INFO - Epoch [63][2300/2353] lr: 1.561e-02, eta: 1 day, 0:29:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9769, loss_cls: 2.8225, loss: 2.8225 +2025-06-03 17:24:26,005 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-06-03 17:25:51,492 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 17:25:51,567 - pyskl - INFO - +top1_acc 0.9076 +top5_acc 0.9914 +2025-06-03 17:25:51,620 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_61.pth was removed +2025-06-03 17:25:52,600 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_63.pth. +2025-06-03 17:25:52,600 - pyskl - INFO - Best top1_acc is 0.9076 at 63 epoch. +2025-06-03 17:25:52,603 - pyskl - INFO - Epoch(val) [63][1184] top1_acc: 0.9076, top5_acc: 0.9914 +2025-06-03 17:26:55,800 - pyskl - INFO - Epoch [64][100/2353] lr: 1.560e-02, eta: 1 day, 0:27:54, time: 0.632, data_time: 0.201, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9869, loss_cls: 2.6789, loss: 2.6789 +2025-06-03 17:27:38,851 - pyskl - INFO - Epoch [64][200/2353] lr: 1.559e-02, eta: 1 day, 0:27:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 2.5996, loss: 2.5996 +2025-06-03 17:28:21,972 - pyskl - INFO - Epoch [64][300/2353] lr: 1.558e-02, eta: 1 day, 0:26:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9838, loss_cls: 2.6698, loss: 2.6698 +2025-06-03 17:29:05,120 - pyskl - INFO - Epoch [64][400/2353] lr: 1.557e-02, eta: 1 day, 0:25:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9812, loss_cls: 2.8149, loss: 2.8149 +2025-06-03 17:29:48,215 - pyskl - INFO - Epoch [64][500/2353] lr: 1.555e-02, eta: 1 day, 0:25:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9788, loss_cls: 2.8245, loss: 2.8245 +2025-06-03 17:30:31,285 - pyskl - INFO - Epoch [64][600/2353] lr: 1.554e-02, eta: 1 day, 0:24:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9812, loss_cls: 2.7329, loss: 2.7329 +2025-06-03 17:31:14,367 - pyskl - INFO - Epoch [64][700/2353] lr: 1.553e-02, eta: 1 day, 0:23:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9819, loss_cls: 2.7237, loss: 2.7237 +2025-06-03 17:31:57,488 - pyskl - INFO - Epoch [64][800/2353] lr: 1.552e-02, eta: 1 day, 0:22:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9806, loss_cls: 2.6367, loss: 2.6367 +2025-06-03 17:32:40,686 - pyskl - INFO - Epoch [64][900/2353] lr: 1.551e-02, eta: 1 day, 0:22:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9856, loss_cls: 2.7384, loss: 2.7384 +2025-06-03 17:33:23,963 - pyskl - INFO - Epoch [64][1000/2353] lr: 1.550e-02, eta: 1 day, 0:21:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 2.8725, loss: 2.8725 +2025-06-03 17:34:07,170 - pyskl - INFO - Epoch [64][1100/2353] lr: 1.549e-02, eta: 1 day, 0:20:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 2.8487, loss: 2.8487 +2025-06-03 17:34:50,527 - pyskl - INFO - Epoch [64][1200/2353] lr: 1.548e-02, eta: 1 day, 0:20:02, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 2.7465, loss: 2.7465 +2025-06-03 17:35:33,717 - pyskl - INFO - Epoch [64][1300/2353] lr: 1.547e-02, eta: 1 day, 0:19:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9806, loss_cls: 2.7609, loss: 2.7609 +2025-06-03 17:36:16,897 - pyskl - INFO - Epoch [64][1400/2353] lr: 1.546e-02, eta: 1 day, 0:18:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9831, loss_cls: 2.7878, loss: 2.7878 +2025-06-03 17:37:00,053 - pyskl - INFO - Epoch [64][1500/2353] lr: 1.545e-02, eta: 1 day, 0:17:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 2.8062, loss: 2.8062 +2025-06-03 17:37:43,161 - pyskl - INFO - Epoch [64][1600/2353] lr: 1.544e-02, eta: 1 day, 0:17:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9844, loss_cls: 2.7829, loss: 2.7829 +2025-06-03 17:38:26,195 - pyskl - INFO - Epoch [64][1700/2353] lr: 1.543e-02, eta: 1 day, 0:16:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9831, loss_cls: 2.7200, loss: 2.7200 +2025-06-03 17:39:09,326 - pyskl - INFO - Epoch [64][1800/2353] lr: 1.541e-02, eta: 1 day, 0:15:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9800, loss_cls: 2.6840, loss: 2.6840 +2025-06-03 17:39:52,460 - pyskl - INFO - Epoch [64][1900/2353] lr: 1.540e-02, eta: 1 day, 0:15:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9800, loss_cls: 2.7956, loss: 2.7956 +2025-06-03 17:40:35,594 - pyskl - INFO - Epoch [64][2000/2353] lr: 1.539e-02, eta: 1 day, 0:14:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 2.8393, loss: 2.8393 +2025-06-03 17:41:18,708 - pyskl - INFO - Epoch [64][2100/2353] lr: 1.538e-02, eta: 1 day, 0:13:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9806, loss_cls: 2.9356, loss: 2.9356 +2025-06-03 17:42:01,803 - pyskl - INFO - Epoch [64][2200/2353] lr: 1.537e-02, eta: 1 day, 0:12:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9844, loss_cls: 2.7961, loss: 2.7961 +2025-06-03 17:42:44,857 - pyskl - INFO - Epoch [64][2300/2353] lr: 1.536e-02, eta: 1 day, 0:12:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9800, loss_cls: 2.8246, loss: 2.8246 +2025-06-03 17:43:08,261 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-06-03 17:44:34,815 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 17:44:34,892 - pyskl - INFO - +top1_acc 0.9146 +top5_acc 0.9929 +2025-06-03 17:44:34,949 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_63.pth was removed +2025-06-03 17:44:35,994 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_64.pth. +2025-06-03 17:44:35,995 - pyskl - INFO - Best top1_acc is 0.9146 at 64 epoch. +2025-06-03 17:44:35,998 - pyskl - INFO - Epoch(val) [64][1184] top1_acc: 0.9146, top5_acc: 0.9929 +2025-06-03 17:45:39,196 - pyskl - INFO - Epoch [65][100/2353] lr: 1.534e-02, eta: 1 day, 0:11:00, time: 0.632, data_time: 0.202, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9856, loss_cls: 2.7103, loss: 2.7103 +2025-06-03 17:46:22,389 - pyskl - INFO - Epoch [65][200/2353] lr: 1.533e-02, eta: 1 day, 0:10:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9819, loss_cls: 2.7644, loss: 2.7644 +2025-06-03 17:47:05,611 - pyskl - INFO - Epoch [65][300/2353] lr: 1.532e-02, eta: 1 day, 0:09:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 2.6897, loss: 2.6897 +2025-06-03 17:47:48,921 - pyskl - INFO - Epoch [65][400/2353] lr: 1.531e-02, eta: 1 day, 0:08:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 2.6378, loss: 2.6378 +2025-06-03 17:48:32,196 - pyskl - INFO - Epoch [65][500/2353] lr: 1.530e-02, eta: 1 day, 0:08:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9769, loss_cls: 2.7018, loss: 2.7018 +2025-06-03 17:49:15,478 - pyskl - INFO - Epoch [65][600/2353] lr: 1.529e-02, eta: 1 day, 0:07:27, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9756, loss_cls: 2.7508, loss: 2.7508 +2025-06-03 17:49:58,621 - pyskl - INFO - Epoch [65][700/2353] lr: 1.528e-02, eta: 1 day, 0:06:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9838, loss_cls: 2.7843, loss: 2.7843 +2025-06-03 17:50:41,692 - pyskl - INFO - Epoch [65][800/2353] lr: 1.527e-02, eta: 1 day, 0:06:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9794, loss_cls: 2.6721, loss: 2.6721 +2025-06-03 17:51:24,780 - pyskl - INFO - Epoch [65][900/2353] lr: 1.526e-02, eta: 1 day, 0:05:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9775, loss_cls: 2.8331, loss: 2.8331 +2025-06-03 17:52:07,897 - pyskl - INFO - Epoch [65][1000/2353] lr: 1.525e-02, eta: 1 day, 0:04:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 2.6167, loss: 2.6167 +2025-06-03 17:52:51,002 - pyskl - INFO - Epoch [65][1100/2353] lr: 1.524e-02, eta: 1 day, 0:03:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9812, loss_cls: 2.7054, loss: 2.7054 +2025-06-03 17:53:34,125 - pyskl - INFO - Epoch [65][1200/2353] lr: 1.522e-02, eta: 1 day, 0:03:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 2.8601, loss: 2.8601 +2025-06-03 17:54:17,258 - pyskl - INFO - Epoch [65][1300/2353] lr: 1.521e-02, eta: 1 day, 0:02:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 2.7666, loss: 2.7666 +2025-06-03 17:55:00,514 - pyskl - INFO - Epoch [65][1400/2353] lr: 1.520e-02, eta: 1 day, 0:01:43, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 2.7244, loss: 2.7244 +2025-06-03 17:55:43,826 - pyskl - INFO - Epoch [65][1500/2353] lr: 1.519e-02, eta: 1 day, 0:01:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9856, loss_cls: 2.7233, loss: 2.7233 +2025-06-03 17:56:27,032 - pyskl - INFO - Epoch [65][1600/2353] lr: 1.518e-02, eta: 1 day, 0:00:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 2.7917, loss: 2.7917 +2025-06-03 17:57:10,153 - pyskl - INFO - Epoch [65][1700/2353] lr: 1.517e-02, eta: 23:59:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 2.7490, loss: 2.7490 +2025-06-03 17:57:53,274 - pyskl - INFO - Epoch [65][1800/2353] lr: 1.516e-02, eta: 23:58:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 2.7978, loss: 2.7978 +2025-06-03 17:58:36,321 - pyskl - INFO - Epoch [65][1900/2353] lr: 1.515e-02, eta: 23:58:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9838, loss_cls: 2.7260, loss: 2.7260 +2025-06-03 17:59:19,390 - pyskl - INFO - Epoch [65][2000/2353] lr: 1.514e-02, eta: 23:57:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9850, loss_cls: 2.8714, loss: 2.8714 +2025-06-03 18:00:02,430 - pyskl - INFO - Epoch [65][2100/2353] lr: 1.513e-02, eta: 23:56:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9844, loss_cls: 2.7445, loss: 2.7445 +2025-06-03 18:00:45,642 - pyskl - INFO - Epoch [65][2200/2353] lr: 1.512e-02, eta: 23:56:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9781, loss_cls: 2.7912, loss: 2.7912 +2025-06-03 18:01:29,083 - pyskl - INFO - Epoch [65][2300/2353] lr: 1.510e-02, eta: 23:55:17, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9781, loss_cls: 2.8148, loss: 2.8148 +2025-06-03 18:01:52,570 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-06-03 18:11:08,960 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 18:11:09,034 - pyskl - INFO - +top1_acc 0.8929 +top5_acc 0.9904 +2025-06-03 18:11:09,038 - pyskl - INFO - Epoch(val) [65][1184] top1_acc: 0.8929, top5_acc: 0.9904 +2025-06-03 18:12:12,456 - pyskl - INFO - Epoch [66][100/2353] lr: 1.509e-02, eta: 23:54:08, time: 0.634, data_time: 0.201, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9856, loss_cls: 2.7066, loss: 2.7066 +2025-06-03 18:12:55,573 - pyskl - INFO - Epoch [66][200/2353] lr: 1.508e-02, eta: 23:53:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9800, loss_cls: 2.7704, loss: 2.7704 +2025-06-03 18:13:38,742 - pyskl - INFO - Epoch [66][300/2353] lr: 1.507e-02, eta: 23:52:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 2.7001, loss: 2.7001 +2025-06-03 18:14:21,989 - pyskl - INFO - Epoch [66][400/2353] lr: 1.506e-02, eta: 23:51:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9856, loss_cls: 2.8162, loss: 2.8162 +2025-06-03 18:15:05,117 - pyskl - INFO - Epoch [66][500/2353] lr: 1.504e-02, eta: 23:51:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 2.6989, loss: 2.6989 +2025-06-03 18:15:48,286 - pyskl - INFO - Epoch [66][600/2353] lr: 1.503e-02, eta: 23:50:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9775, loss_cls: 2.6897, loss: 2.6897 +2025-06-03 18:16:31,565 - pyskl - INFO - Epoch [66][700/2353] lr: 1.502e-02, eta: 23:49:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9825, loss_cls: 2.7138, loss: 2.7138 +2025-06-03 18:17:14,763 - pyskl - INFO - Epoch [66][800/2353] lr: 1.501e-02, eta: 23:49:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9838, loss_cls: 2.6381, loss: 2.6381 +2025-06-03 18:17:57,898 - pyskl - INFO - Epoch [66][900/2353] lr: 1.500e-02, eta: 23:48:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9850, loss_cls: 2.7387, loss: 2.7387 +2025-06-03 18:18:40,926 - pyskl - INFO - Epoch [66][1000/2353] lr: 1.499e-02, eta: 23:47:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9806, loss_cls: 2.8256, loss: 2.8256 +2025-06-03 18:19:23,933 - pyskl - INFO - Epoch [66][1100/2353] lr: 1.498e-02, eta: 23:46:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 2.6802, loss: 2.6802 +2025-06-03 18:20:07,046 - pyskl - INFO - Epoch [66][1200/2353] lr: 1.497e-02, eta: 23:46:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9844, loss_cls: 2.6907, loss: 2.6907 +2025-06-03 18:20:50,250 - pyskl - INFO - Epoch [66][1300/2353] lr: 1.496e-02, eta: 23:45:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9844, loss_cls: 2.7263, loss: 2.7263 +2025-06-03 18:21:33,451 - pyskl - INFO - Epoch [66][1400/2353] lr: 1.495e-02, eta: 23:44:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 2.7230, loss: 2.7230 +2025-06-03 18:22:16,518 - pyskl - INFO - Epoch [66][1500/2353] lr: 1.494e-02, eta: 23:44:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 2.7928, loss: 2.7928 +2025-06-03 18:22:59,622 - pyskl - INFO - Epoch [66][1600/2353] lr: 1.492e-02, eta: 23:43:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 2.5933, loss: 2.5933 +2025-06-03 18:23:42,894 - pyskl - INFO - Epoch [66][1700/2353] lr: 1.491e-02, eta: 23:42:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 2.6729, loss: 2.6729 +2025-06-03 18:24:26,188 - pyskl - INFO - Epoch [66][1800/2353] lr: 1.490e-02, eta: 23:41:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9800, loss_cls: 2.7555, loss: 2.7555 +2025-06-03 18:25:09,496 - pyskl - INFO - Epoch [66][1900/2353] lr: 1.489e-02, eta: 23:41:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 2.8791, loss: 2.8791 +2025-06-03 18:25:52,736 - pyskl - INFO - Epoch [66][2000/2353] lr: 1.488e-02, eta: 23:40:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 2.7340, loss: 2.7340 +2025-06-03 18:26:35,991 - pyskl - INFO - Epoch [66][2100/2353] lr: 1.487e-02, eta: 23:39:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9812, loss_cls: 2.7521, loss: 2.7521 +2025-06-03 18:27:19,213 - pyskl - INFO - Epoch [66][2200/2353] lr: 1.486e-02, eta: 23:39:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 2.7722, loss: 2.7722 +2025-06-03 18:28:02,318 - pyskl - INFO - Epoch [66][2300/2353] lr: 1.485e-02, eta: 23:38:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9875, loss_cls: 2.7180, loss: 2.7180 +2025-06-03 18:28:25,607 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-06-03 18:29:50,800 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 18:29:50,875 - pyskl - INFO - +top1_acc 0.8962 +top5_acc 0.9917 +2025-06-03 18:29:50,878 - pyskl - INFO - Epoch(val) [66][1184] top1_acc: 0.8962, top5_acc: 0.9917 +2025-06-03 18:30:54,714 - pyskl - INFO - Epoch [67][100/2353] lr: 1.483e-02, eta: 23:37:16, time: 0.638, data_time: 0.207, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9844, loss_cls: 2.7096, loss: 2.7096 +2025-06-03 18:31:37,749 - pyskl - INFO - Epoch [67][200/2353] lr: 1.482e-02, eta: 23:36:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9888, loss_cls: 2.6202, loss: 2.6202 +2025-06-03 18:32:21,137 - pyskl - INFO - Epoch [67][300/2353] lr: 1.481e-02, eta: 23:35:51, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9800, loss_cls: 2.7318, loss: 2.7318 +2025-06-03 18:33:04,389 - pyskl - INFO - Epoch [67][400/2353] lr: 1.480e-02, eta: 23:35:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9838, loss_cls: 2.8026, loss: 2.8026 +2025-06-03 18:33:47,517 - pyskl - INFO - Epoch [67][500/2353] lr: 1.479e-02, eta: 23:34:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9869, loss_cls: 2.7134, loss: 2.7134 +2025-06-03 18:34:30,661 - pyskl - INFO - Epoch [67][600/2353] lr: 1.478e-02, eta: 23:33:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9825, loss_cls: 2.7383, loss: 2.7383 +2025-06-03 18:35:13,816 - pyskl - INFO - Epoch [67][700/2353] lr: 1.477e-02, eta: 23:32:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 2.6631, loss: 2.6631 +2025-06-03 18:35:56,872 - pyskl - INFO - Epoch [67][800/2353] lr: 1.475e-02, eta: 23:32:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9838, loss_cls: 2.6593, loss: 2.6593 +2025-06-03 18:36:39,971 - pyskl - INFO - Epoch [67][900/2353] lr: 1.474e-02, eta: 23:31:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9831, loss_cls: 2.6779, loss: 2.6779 +2025-06-03 18:37:23,054 - pyskl - INFO - Epoch [67][1000/2353] lr: 1.473e-02, eta: 23:30:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 2.7003, loss: 2.7003 +2025-06-03 18:38:06,107 - pyskl - INFO - Epoch [67][1100/2353] lr: 1.472e-02, eta: 23:30:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 2.6956, loss: 2.6956 +2025-06-03 18:38:49,178 - pyskl - INFO - Epoch [67][1200/2353] lr: 1.471e-02, eta: 23:29:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9794, loss_cls: 2.7891, loss: 2.7891 +2025-06-03 18:39:32,518 - pyskl - INFO - Epoch [67][1300/2353] lr: 1.470e-02, eta: 23:28:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9831, loss_cls: 2.7224, loss: 2.7224 +2025-06-03 18:40:15,902 - pyskl - INFO - Epoch [67][1400/2353] lr: 1.469e-02, eta: 23:27:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9806, loss_cls: 2.7231, loss: 2.7231 +2025-06-03 18:40:58,932 - pyskl - INFO - Epoch [67][1500/2353] lr: 1.468e-02, eta: 23:27:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9812, loss_cls: 2.7260, loss: 2.7260 +2025-06-03 18:41:42,043 - pyskl - INFO - Epoch [67][1600/2353] lr: 1.467e-02, eta: 23:26:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9775, loss_cls: 2.7421, loss: 2.7421 +2025-06-03 18:42:25,079 - pyskl - INFO - Epoch [67][1700/2353] lr: 1.466e-02, eta: 23:25:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 2.7651, loss: 2.7651 +2025-06-03 18:43:08,133 - pyskl - INFO - Epoch [67][1800/2353] lr: 1.465e-02, eta: 23:25:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9825, loss_cls: 2.7805, loss: 2.7805 +2025-06-03 18:43:51,258 - pyskl - INFO - Epoch [67][1900/2353] lr: 1.463e-02, eta: 23:24:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9775, loss_cls: 2.6624, loss: 2.6624 +2025-06-03 18:44:34,365 - pyskl - INFO - Epoch [67][2000/2353] lr: 1.462e-02, eta: 23:23:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9862, loss_cls: 2.7286, loss: 2.7286 +2025-06-03 18:45:17,429 - pyskl - INFO - Epoch [67][2100/2353] lr: 1.461e-02, eta: 23:22:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 2.7425, loss: 2.7425 +2025-06-03 18:46:00,520 - pyskl - INFO - Epoch [67][2200/2353] lr: 1.460e-02, eta: 23:22:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9869, loss_cls: 2.7407, loss: 2.7407 +2025-06-03 18:46:43,555 - pyskl - INFO - Epoch [67][2300/2353] lr: 1.459e-02, eta: 23:21:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 2.7742, loss: 2.7742 +2025-06-03 18:47:06,999 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-06-03 18:48:32,302 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 18:48:32,376 - pyskl - INFO - +top1_acc 0.9058 +top5_acc 0.9923 +2025-06-03 18:48:32,379 - pyskl - INFO - Epoch(val) [67][1184] top1_acc: 0.9058, top5_acc: 0.9923 +2025-06-03 18:49:36,044 - pyskl - INFO - Epoch [68][100/2353] lr: 1.457e-02, eta: 23:20:23, time: 0.637, data_time: 0.203, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 2.5902, loss: 2.5902 +2025-06-03 18:50:19,315 - pyskl - INFO - Epoch [68][200/2353] lr: 1.456e-02, eta: 23:19:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 2.6571, loss: 2.6571 +2025-06-03 18:51:02,430 - pyskl - INFO - Epoch [68][300/2353] lr: 1.455e-02, eta: 23:18:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9806, loss_cls: 2.6613, loss: 2.6613 +2025-06-03 18:51:45,596 - pyskl - INFO - Epoch [68][400/2353] lr: 1.454e-02, eta: 23:18:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9894, loss_cls: 2.5779, loss: 2.5779 +2025-06-03 18:52:28,783 - pyskl - INFO - Epoch [68][500/2353] lr: 1.453e-02, eta: 23:17:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 2.7088, loss: 2.7088 +2025-06-03 18:53:12,031 - pyskl - INFO - Epoch [68][600/2353] lr: 1.452e-02, eta: 23:16:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9831, loss_cls: 2.6263, loss: 2.6263 +2025-06-03 18:53:55,274 - pyskl - INFO - Epoch [68][700/2353] lr: 1.451e-02, eta: 23:16:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9825, loss_cls: 2.6366, loss: 2.6366 +2025-06-03 18:54:38,480 - pyskl - INFO - Epoch [68][800/2353] lr: 1.450e-02, eta: 23:15:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9825, loss_cls: 2.7092, loss: 2.7092 +2025-06-03 18:55:21,589 - pyskl - INFO - Epoch [68][900/2353] lr: 1.449e-02, eta: 23:14:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9825, loss_cls: 2.6512, loss: 2.6512 +2025-06-03 18:56:04,689 - pyskl - INFO - Epoch [68][1000/2353] lr: 1.447e-02, eta: 23:13:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 2.7382, loss: 2.7382 +2025-06-03 18:56:47,858 - pyskl - INFO - Epoch [68][1100/2353] lr: 1.446e-02, eta: 23:13:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9875, loss_cls: 2.6564, loss: 2.6564 +2025-06-03 18:57:31,070 - pyskl - INFO - Epoch [68][1200/2353] lr: 1.445e-02, eta: 23:12:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9856, loss_cls: 2.7270, loss: 2.7270 +2025-06-03 18:58:14,510 - pyskl - INFO - Epoch [68][1300/2353] lr: 1.444e-02, eta: 23:11:49, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9800, loss_cls: 2.6959, loss: 2.6959 +2025-06-03 18:58:57,837 - pyskl - INFO - Epoch [68][1400/2353] lr: 1.443e-02, eta: 23:11:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9825, loss_cls: 2.8250, loss: 2.8250 +2025-06-03 18:59:41,068 - pyskl - INFO - Epoch [68][1500/2353] lr: 1.442e-02, eta: 23:10:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9800, loss_cls: 2.8094, loss: 2.8094 +2025-06-03 19:00:24,202 - pyskl - INFO - Epoch [68][1600/2353] lr: 1.441e-02, eta: 23:09:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9806, loss_cls: 2.8281, loss: 2.8281 +2025-06-03 19:01:07,304 - pyskl - INFO - Epoch [68][1700/2353] lr: 1.440e-02, eta: 23:08:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 2.6233, loss: 2.6233 +2025-06-03 19:01:50,422 - pyskl - INFO - Epoch [68][1800/2353] lr: 1.439e-02, eta: 23:08:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9800, loss_cls: 2.8165, loss: 2.8165 +2025-06-03 19:02:33,534 - pyskl - INFO - Epoch [68][1900/2353] lr: 1.438e-02, eta: 23:07:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9800, loss_cls: 2.8181, loss: 2.8181 +2025-06-03 19:03:16,498 - pyskl - INFO - Epoch [68][2000/2353] lr: 1.436e-02, eta: 23:06:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9819, loss_cls: 2.7200, loss: 2.7200 +2025-06-03 19:03:59,563 - pyskl - INFO - Epoch [68][2100/2353] lr: 1.435e-02, eta: 23:06:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9825, loss_cls: 2.6476, loss: 2.6476 +2025-06-03 19:04:42,762 - pyskl - INFO - Epoch [68][2200/2353] lr: 1.434e-02, eta: 23:05:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9894, loss_cls: 2.6325, loss: 2.6325 +2025-06-03 19:05:25,783 - pyskl - INFO - Epoch [68][2300/2353] lr: 1.433e-02, eta: 23:04:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9800, loss_cls: 2.6567, loss: 2.6567 +2025-06-03 19:05:48,967 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-06-03 19:07:14,187 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 19:07:14,262 - pyskl - INFO - +top1_acc 0.9106 +top5_acc 0.9907 +2025-06-03 19:07:14,265 - pyskl - INFO - Epoch(val) [68][1184] top1_acc: 0.9106, top5_acc: 0.9907 +2025-06-03 19:08:17,445 - pyskl - INFO - Epoch [69][100/2353] lr: 1.432e-02, eta: 23:03:30, time: 0.632, data_time: 0.201, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9856, loss_cls: 2.6259, loss: 2.6259 +2025-06-03 19:09:00,458 - pyskl - INFO - Epoch [69][200/2353] lr: 1.430e-02, eta: 23:02:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9831, loss_cls: 2.7008, loss: 2.7008 +2025-06-03 19:09:43,586 - pyskl - INFO - Epoch [69][300/2353] lr: 1.429e-02, eta: 23:02:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9912, loss_cls: 2.6779, loss: 2.6779 +2025-06-03 19:10:26,698 - pyskl - INFO - Epoch [69][400/2353] lr: 1.428e-02, eta: 23:01:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9819, loss_cls: 2.6521, loss: 2.6521 +2025-06-03 19:11:09,901 - pyskl - INFO - Epoch [69][500/2353] lr: 1.427e-02, eta: 23:00:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9825, loss_cls: 2.7319, loss: 2.7319 +2025-06-03 19:11:52,985 - pyskl - INFO - Epoch [69][600/2353] lr: 1.426e-02, eta: 22:59:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9825, loss_cls: 2.7035, loss: 2.7035 +2025-06-03 19:12:36,141 - pyskl - INFO - Epoch [69][700/2353] lr: 1.425e-02, eta: 22:59:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9812, loss_cls: 2.5786, loss: 2.5786 +2025-06-03 19:13:19,335 - pyskl - INFO - Epoch [69][800/2353] lr: 1.424e-02, eta: 22:58:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 2.7803, loss: 2.7803 +2025-06-03 19:14:02,524 - pyskl - INFO - Epoch [69][900/2353] lr: 1.423e-02, eta: 22:57:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9869, loss_cls: 2.7038, loss: 2.7038 +2025-06-03 19:14:45,725 - pyskl - INFO - Epoch [69][1000/2353] lr: 1.422e-02, eta: 22:57:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 2.6225, loss: 2.6225 +2025-06-03 19:15:28,932 - pyskl - INFO - Epoch [69][1100/2353] lr: 1.420e-02, eta: 22:56:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9825, loss_cls: 2.6898, loss: 2.6898 +2025-06-03 19:16:11,889 - pyskl - INFO - Epoch [69][1200/2353] lr: 1.419e-02, eta: 22:55:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 2.7614, loss: 2.7614 +2025-06-03 19:16:55,141 - pyskl - INFO - Epoch [69][1300/2353] lr: 1.418e-02, eta: 22:54:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 2.6389, loss: 2.6389 +2025-06-03 19:17:38,491 - pyskl - INFO - Epoch [69][1400/2353] lr: 1.417e-02, eta: 22:54:12, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9819, loss_cls: 2.7014, loss: 2.7014 +2025-06-03 19:18:21,936 - pyskl - INFO - Epoch [69][1500/2353] lr: 1.416e-02, eta: 22:53:30, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9844, loss_cls: 2.6740, loss: 2.6740 +2025-06-03 19:19:05,174 - pyskl - INFO - Epoch [69][1600/2353] lr: 1.415e-02, eta: 22:52:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 2.5982, loss: 2.5982 +2025-06-03 19:19:48,403 - pyskl - INFO - Epoch [69][1700/2353] lr: 1.414e-02, eta: 22:52:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 2.7508, loss: 2.7508 +2025-06-03 19:20:31,481 - pyskl - INFO - Epoch [69][1800/2353] lr: 1.413e-02, eta: 22:51:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9819, loss_cls: 2.7642, loss: 2.7642 +2025-06-03 19:21:14,658 - pyskl - INFO - Epoch [69][1900/2353] lr: 1.412e-02, eta: 22:50:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9819, loss_cls: 2.8005, loss: 2.8005 +2025-06-03 19:21:57,800 - pyskl - INFO - Epoch [69][2000/2353] lr: 1.411e-02, eta: 22:49:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9875, loss_cls: 2.7176, loss: 2.7176 +2025-06-03 19:22:40,954 - pyskl - INFO - Epoch [69][2100/2353] lr: 1.409e-02, eta: 22:49:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9775, loss_cls: 2.6965, loss: 2.6965 +2025-06-03 19:23:24,079 - pyskl - INFO - Epoch [69][2200/2353] lr: 1.408e-02, eta: 22:48:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9756, loss_cls: 2.6854, loss: 2.6854 +2025-06-03 19:24:07,217 - pyskl - INFO - Epoch [69][2300/2353] lr: 1.407e-02, eta: 22:47:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9825, loss_cls: 2.6162, loss: 2.6162 +2025-06-03 19:24:30,588 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-06-03 19:25:56,293 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 19:25:56,368 - pyskl - INFO - +top1_acc 0.9107 +top5_acc 0.9922 +2025-06-03 19:25:56,371 - pyskl - INFO - Epoch(val) [69][1184] top1_acc: 0.9107, top5_acc: 0.9922 +2025-06-03 19:26:59,690 - pyskl - INFO - Epoch [70][100/2353] lr: 1.406e-02, eta: 22:46:38, time: 0.633, data_time: 0.203, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 2.6210, loss: 2.6210 +2025-06-03 19:27:42,828 - pyskl - INFO - Epoch [70][200/2353] lr: 1.404e-02, eta: 22:45:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9900, loss_cls: 2.6425, loss: 2.6425 +2025-06-03 19:28:25,998 - pyskl - INFO - Epoch [70][300/2353] lr: 1.403e-02, eta: 22:45:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9831, loss_cls: 2.7585, loss: 2.7585 +2025-06-03 19:29:09,138 - pyskl - INFO - Epoch [70][400/2353] lr: 1.402e-02, eta: 22:44:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 2.5430, loss: 2.5430 +2025-06-03 19:29:52,258 - pyskl - INFO - Epoch [70][500/2353] lr: 1.401e-02, eta: 22:43:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9875, loss_cls: 2.7514, loss: 2.7514 +2025-06-03 19:30:35,408 - pyskl - INFO - Epoch [70][600/2353] lr: 1.400e-02, eta: 22:43:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9819, loss_cls: 2.7692, loss: 2.7692 +2025-06-03 19:31:18,586 - pyskl - INFO - Epoch [70][700/2353] lr: 1.399e-02, eta: 22:42:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 2.6041, loss: 2.6041 +2025-06-03 19:32:01,787 - pyskl - INFO - Epoch [70][800/2353] lr: 1.398e-02, eta: 22:41:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 2.6158, loss: 2.6158 +2025-06-03 19:32:44,898 - pyskl - INFO - Epoch [70][900/2353] lr: 1.397e-02, eta: 22:40:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9850, loss_cls: 2.6479, loss: 2.6479 +2025-06-03 19:33:28,045 - pyskl - INFO - Epoch [70][1000/2353] lr: 1.396e-02, eta: 22:40:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9788, loss_cls: 2.5793, loss: 2.5793 +2025-06-03 19:34:11,163 - pyskl - INFO - Epoch [70][1100/2353] lr: 1.395e-02, eta: 22:39:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 2.7211, loss: 2.7211 +2025-06-03 19:34:54,297 - pyskl - INFO - Epoch [70][1200/2353] lr: 1.393e-02, eta: 22:38:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 2.6870, loss: 2.6870 +2025-06-03 19:35:37,308 - pyskl - INFO - Epoch [70][1300/2353] lr: 1.392e-02, eta: 22:38:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9875, loss_cls: 2.6127, loss: 2.6127 +2025-06-03 19:36:20,331 - pyskl - INFO - Epoch [70][1400/2353] lr: 1.391e-02, eta: 22:37:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9856, loss_cls: 2.6873, loss: 2.6873 +2025-06-03 19:37:03,867 - pyskl - INFO - Epoch [70][1500/2353] lr: 1.390e-02, eta: 22:36:37, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 2.6520, loss: 2.6520 +2025-06-03 19:37:47,267 - pyskl - INFO - Epoch [70][1600/2353] lr: 1.389e-02, eta: 22:35:54, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 2.6835, loss: 2.6835 +2025-06-03 19:38:30,493 - pyskl - INFO - Epoch [70][1700/2353] lr: 1.388e-02, eta: 22:35:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9800, loss_cls: 2.7838, loss: 2.7838 +2025-06-03 19:39:13,689 - pyskl - INFO - Epoch [70][1800/2353] lr: 1.387e-02, eta: 22:34:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9912, loss_cls: 2.5575, loss: 2.5575 +2025-06-03 19:39:56,878 - pyskl - INFO - Epoch [70][1900/2353] lr: 1.386e-02, eta: 22:33:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9825, loss_cls: 2.6942, loss: 2.6942 +2025-06-03 19:40:40,024 - pyskl - INFO - Epoch [70][2000/2353] lr: 1.385e-02, eta: 22:33:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9862, loss_cls: 2.5824, loss: 2.5824 +2025-06-03 19:41:23,122 - pyskl - INFO - Epoch [70][2100/2353] lr: 1.383e-02, eta: 22:32:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9756, loss_cls: 2.8819, loss: 2.8819 +2025-06-03 19:42:06,191 - pyskl - INFO - Epoch [70][2200/2353] lr: 1.382e-02, eta: 22:31:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9862, loss_cls: 2.6979, loss: 2.6979 +2025-06-03 19:42:49,286 - pyskl - INFO - Epoch [70][2300/2353] lr: 1.381e-02, eta: 22:30:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9825, loss_cls: 2.7639, loss: 2.7639 +2025-06-03 19:43:12,637 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-06-03 19:52:33,997 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 19:52:34,071 - pyskl - INFO - +top1_acc 0.9104 +top5_acc 0.9909 +2025-06-03 19:52:34,074 - pyskl - INFO - Epoch(val) [70][1184] top1_acc: 0.9104, top5_acc: 0.9909 +2025-06-03 19:53:37,484 - pyskl - INFO - Epoch [71][100/2353] lr: 1.380e-02, eta: 22:29:45, time: 0.634, data_time: 0.203, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 2.5349, loss: 2.5349 +2025-06-03 19:54:20,607 - pyskl - INFO - Epoch [71][200/2353] lr: 1.378e-02, eta: 22:29:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 2.5731, loss: 2.5731 +2025-06-03 19:55:03,654 - pyskl - INFO - Epoch [71][300/2353] lr: 1.377e-02, eta: 22:28:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9844, loss_cls: 2.6588, loss: 2.6588 +2025-06-03 19:55:46,760 - pyskl - INFO - Epoch [71][400/2353] lr: 1.376e-02, eta: 22:27:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 2.6071, loss: 2.6071 +2025-06-03 19:56:29,823 - pyskl - INFO - Epoch [71][500/2353] lr: 1.375e-02, eta: 22:26:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9906, loss_cls: 2.6836, loss: 2.6836 +2025-06-03 19:57:12,894 - pyskl - INFO - Epoch [71][600/2353] lr: 1.374e-02, eta: 22:26:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 2.6418, loss: 2.6418 +2025-06-03 19:57:56,022 - pyskl - INFO - Epoch [71][700/2353] lr: 1.373e-02, eta: 22:25:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 2.5621, loss: 2.5621 +2025-06-03 19:58:39,157 - pyskl - INFO - Epoch [71][800/2353] lr: 1.372e-02, eta: 22:24:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9794, loss_cls: 2.7038, loss: 2.7038 +2025-06-03 19:59:22,281 - pyskl - INFO - Epoch [71][900/2353] lr: 1.371e-02, eta: 22:24:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9831, loss_cls: 2.6233, loss: 2.6233 +2025-06-03 20:00:05,261 - pyskl - INFO - Epoch [71][1000/2353] lr: 1.370e-02, eta: 22:23:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9856, loss_cls: 2.6798, loss: 2.6798 +2025-06-03 20:00:48,302 - pyskl - INFO - Epoch [71][1100/2353] lr: 1.368e-02, eta: 22:22:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9906, loss_cls: 2.6996, loss: 2.6996 +2025-06-03 20:01:31,461 - pyskl - INFO - Epoch [71][1200/2353] lr: 1.367e-02, eta: 22:21:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 2.7908, loss: 2.7908 +2025-06-03 20:02:14,787 - pyskl - INFO - Epoch [71][1300/2353] lr: 1.366e-02, eta: 22:21:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9881, loss_cls: 2.6698, loss: 2.6698 +2025-06-03 20:02:58,187 - pyskl - INFO - Epoch [71][1400/2353] lr: 1.365e-02, eta: 22:20:27, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9794, loss_cls: 2.7685, loss: 2.7685 +2025-06-03 20:03:41,478 - pyskl - INFO - Epoch [71][1500/2353] lr: 1.364e-02, eta: 22:19:44, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9850, loss_cls: 2.7238, loss: 2.7238 +2025-06-03 20:04:24,633 - pyskl - INFO - Epoch [71][1600/2353] lr: 1.363e-02, eta: 22:19:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 2.7271, loss: 2.7271 +2025-06-03 20:05:07,790 - pyskl - INFO - Epoch [71][1700/2353] lr: 1.362e-02, eta: 22:18:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 2.6761, loss: 2.6761 +2025-06-03 20:05:50,880 - pyskl - INFO - Epoch [71][1800/2353] lr: 1.361e-02, eta: 22:17:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9850, loss_cls: 2.5928, loss: 2.5928 +2025-06-03 20:06:33,968 - pyskl - INFO - Epoch [71][1900/2353] lr: 1.360e-02, eta: 22:16:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9881, loss_cls: 2.6558, loss: 2.6558 +2025-06-03 20:07:17,121 - pyskl - INFO - Epoch [71][2000/2353] lr: 1.359e-02, eta: 22:16:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9869, loss_cls: 2.6379, loss: 2.6379 +2025-06-03 20:08:00,306 - pyskl - INFO - Epoch [71][2100/2353] lr: 1.357e-02, eta: 22:15:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 2.6675, loss: 2.6675 +2025-06-03 20:08:43,480 - pyskl - INFO - Epoch [71][2200/2353] lr: 1.356e-02, eta: 22:14:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9900, loss_cls: 2.5494, loss: 2.5494 +2025-06-03 20:09:26,627 - pyskl - INFO - Epoch [71][2300/2353] lr: 1.355e-02, eta: 22:14:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9762, loss_cls: 2.6854, loss: 2.6854 +2025-06-03 20:09:50,089 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-06-03 20:11:15,887 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 20:11:15,962 - pyskl - INFO - +top1_acc 0.9070 +top5_acc 0.9921 +2025-06-03 20:11:15,966 - pyskl - INFO - Epoch(val) [71][1184] top1_acc: 0.9070, top5_acc: 0.9921 +2025-06-03 20:12:19,857 - pyskl - INFO - Epoch [72][100/2353] lr: 1.353e-02, eta: 22:12:52, time: 0.639, data_time: 0.207, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9838, loss_cls: 2.5926, loss: 2.5926 +2025-06-03 20:13:02,899 - pyskl - INFO - Epoch [72][200/2353] lr: 1.352e-02, eta: 22:12:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.6799, loss: 2.6799 +2025-06-03 20:13:45,984 - pyskl - INFO - Epoch [72][300/2353] lr: 1.351e-02, eta: 22:11:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 2.6508, loss: 2.6508 +2025-06-03 20:14:29,081 - pyskl - INFO - Epoch [72][400/2353] lr: 1.350e-02, eta: 22:10:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 2.6355, loss: 2.6355 +2025-06-03 20:15:12,183 - pyskl - INFO - Epoch [72][500/2353] lr: 1.349e-02, eta: 22:10:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9825, loss_cls: 2.6278, loss: 2.6278 +2025-06-03 20:15:55,292 - pyskl - INFO - Epoch [72][600/2353] lr: 1.348e-02, eta: 22:09:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9819, loss_cls: 2.6410, loss: 2.6410 +2025-06-03 20:16:38,341 - pyskl - INFO - Epoch [72][700/2353] lr: 1.347e-02, eta: 22:08:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 2.5833, loss: 2.5833 +2025-06-03 20:17:21,487 - pyskl - INFO - Epoch [72][800/2353] lr: 1.346e-02, eta: 22:07:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9888, loss_cls: 2.6344, loss: 2.6344 +2025-06-03 20:18:04,621 - pyskl - INFO - Epoch [72][900/2353] lr: 1.345e-02, eta: 22:07:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9819, loss_cls: 2.7867, loss: 2.7867 +2025-06-03 20:18:47,789 - pyskl - INFO - Epoch [72][1000/2353] lr: 1.344e-02, eta: 22:06:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 2.6190, loss: 2.6190 +2025-06-03 20:19:30,919 - pyskl - INFO - Epoch [72][1100/2353] lr: 1.342e-02, eta: 22:05:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 2.5503, loss: 2.5503 +2025-06-03 20:20:14,142 - pyskl - INFO - Epoch [72][1200/2353] lr: 1.341e-02, eta: 22:05:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9806, loss_cls: 2.6483, loss: 2.6483 +2025-06-03 20:20:57,425 - pyskl - INFO - Epoch [72][1300/2353] lr: 1.340e-02, eta: 22:04:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9831, loss_cls: 2.6547, loss: 2.6547 +2025-06-03 20:21:40,660 - pyskl - INFO - Epoch [72][1400/2353] lr: 1.339e-02, eta: 22:03:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9844, loss_cls: 2.6591, loss: 2.6591 +2025-06-03 20:22:23,744 - pyskl - INFO - Epoch [72][1500/2353] lr: 1.338e-02, eta: 22:02:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9775, loss_cls: 2.7929, loss: 2.7929 +2025-06-03 20:23:06,749 - pyskl - INFO - Epoch [72][1600/2353] lr: 1.337e-02, eta: 22:02:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 2.6962, loss: 2.6962 +2025-06-03 20:23:49,851 - pyskl - INFO - Epoch [72][1700/2353] lr: 1.336e-02, eta: 22:01:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 2.6397, loss: 2.6397 +2025-06-03 20:24:32,988 - pyskl - INFO - Epoch [72][1800/2353] lr: 1.335e-02, eta: 22:00:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 2.7328, loss: 2.7328 +2025-06-03 20:25:16,088 - pyskl - INFO - Epoch [72][1900/2353] lr: 1.334e-02, eta: 21:59:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9831, loss_cls: 2.6738, loss: 2.6738 +2025-06-03 20:25:59,131 - pyskl - INFO - Epoch [72][2000/2353] lr: 1.332e-02, eta: 21:59:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9831, loss_cls: 2.6330, loss: 2.6330 +2025-06-03 20:26:42,155 - pyskl - INFO - Epoch [72][2100/2353] lr: 1.331e-02, eta: 21:58:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9844, loss_cls: 2.6048, loss: 2.6048 +2025-06-03 20:27:25,225 - pyskl - INFO - Epoch [72][2200/2353] lr: 1.330e-02, eta: 21:57:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9919, loss_cls: 2.6007, loss: 2.6007 +2025-06-03 20:28:08,330 - pyskl - INFO - Epoch [72][2300/2353] lr: 1.329e-02, eta: 21:57:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9825, loss_cls: 2.6508, loss: 2.6508 +2025-06-03 20:28:31,724 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-06-03 20:29:57,265 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 20:29:57,339 - pyskl - INFO - +top1_acc 0.9066 +top5_acc 0.9911 +2025-06-03 20:29:57,342 - pyskl - INFO - Epoch(val) [72][1184] top1_acc: 0.9066, top5_acc: 0.9911 +2025-06-03 20:31:00,633 - pyskl - INFO - Epoch [73][100/2353] lr: 1.327e-02, eta: 21:55:58, time: 0.633, data_time: 0.202, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9831, loss_cls: 2.6549, loss: 2.6549 +2025-06-03 20:31:43,708 - pyskl - INFO - Epoch [73][200/2353] lr: 1.326e-02, eta: 21:55:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 2.5412, loss: 2.5412 +2025-06-03 20:32:26,762 - pyskl - INFO - Epoch [73][300/2353] lr: 1.325e-02, eta: 21:54:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9825, loss_cls: 2.5737, loss: 2.5737 +2025-06-03 20:33:09,786 - pyskl - INFO - Epoch [73][400/2353] lr: 1.324e-02, eta: 21:53:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9794, loss_cls: 2.6006, loss: 2.6006 +2025-06-03 20:33:52,891 - pyskl - INFO - Epoch [73][500/2353] lr: 1.323e-02, eta: 21:53:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 2.6139, loss: 2.6139 +2025-06-03 20:34:36,010 - pyskl - INFO - Epoch [73][600/2353] lr: 1.322e-02, eta: 21:52:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9888, loss_cls: 2.6276, loss: 2.6276 +2025-06-03 20:35:19,109 - pyskl - INFO - Epoch [73][700/2353] lr: 1.321e-02, eta: 21:51:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 2.6874, loss: 2.6874 +2025-06-03 20:36:02,218 - pyskl - INFO - Epoch [73][800/2353] lr: 1.320e-02, eta: 21:50:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 2.6224, loss: 2.6224 +2025-06-03 20:36:45,298 - pyskl - INFO - Epoch [73][900/2353] lr: 1.319e-02, eta: 21:50:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9844, loss_cls: 2.5953, loss: 2.5953 +2025-06-03 20:37:28,259 - pyskl - INFO - Epoch [73][1000/2353] lr: 1.317e-02, eta: 21:49:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 2.6260, loss: 2.6260 +2025-06-03 20:38:11,353 - pyskl - INFO - Epoch [73][1100/2353] lr: 1.316e-02, eta: 21:48:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9838, loss_cls: 2.6906, loss: 2.6906 +2025-06-03 20:38:54,569 - pyskl - INFO - Epoch [73][1200/2353] lr: 1.315e-02, eta: 21:48:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9838, loss_cls: 2.6131, loss: 2.6131 +2025-06-03 20:39:37,794 - pyskl - INFO - Epoch [73][1300/2353] lr: 1.314e-02, eta: 21:47:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 2.6114, loss: 2.6114 +2025-06-03 20:40:21,026 - pyskl - INFO - Epoch [73][1400/2353] lr: 1.313e-02, eta: 21:46:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9844, loss_cls: 2.5602, loss: 2.5602 +2025-06-03 20:41:04,201 - pyskl - INFO - Epoch [73][1500/2353] lr: 1.312e-02, eta: 21:45:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 2.6916, loss: 2.6916 +2025-06-03 20:41:47,363 - pyskl - INFO - Epoch [73][1600/2353] lr: 1.311e-02, eta: 21:45:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9875, loss_cls: 2.6674, loss: 2.6674 +2025-06-03 20:42:30,563 - pyskl - INFO - Epoch [73][1700/2353] lr: 1.310e-02, eta: 21:44:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 2.5804, loss: 2.5804 +2025-06-03 20:43:13,729 - pyskl - INFO - Epoch [73][1800/2353] lr: 1.309e-02, eta: 21:43:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 2.6911, loss: 2.6911 +2025-06-03 20:43:56,928 - pyskl - INFO - Epoch [73][1900/2353] lr: 1.307e-02, eta: 21:43:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 2.6590, loss: 2.6590 +2025-06-03 20:44:40,195 - pyskl - INFO - Epoch [73][2000/2353] lr: 1.306e-02, eta: 21:42:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9906, loss_cls: 2.6123, loss: 2.6123 +2025-06-03 20:45:23,401 - pyskl - INFO - Epoch [73][2100/2353] lr: 1.305e-02, eta: 21:41:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9756, loss_cls: 2.5713, loss: 2.5713 +2025-06-03 20:46:06,491 - pyskl - INFO - Epoch [73][2200/2353] lr: 1.304e-02, eta: 21:40:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9844, loss_cls: 2.6637, loss: 2.6637 +2025-06-03 20:46:49,601 - pyskl - INFO - Epoch [73][2300/2353] lr: 1.303e-02, eta: 21:40:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9850, loss_cls: 2.6329, loss: 2.6329 +2025-06-03 20:47:12,905 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-06-03 20:48:38,017 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 20:48:38,093 - pyskl - INFO - +top1_acc 0.9112 +top5_acc 0.9929 +2025-06-03 20:48:38,097 - pyskl - INFO - Epoch(val) [73][1184] top1_acc: 0.9112, top5_acc: 0.9929 +2025-06-03 20:49:41,469 - pyskl - INFO - Epoch [74][100/2353] lr: 1.301e-02, eta: 21:39:05, time: 0.634, data_time: 0.203, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 2.5922, loss: 2.5922 +2025-06-03 20:50:24,645 - pyskl - INFO - Epoch [74][200/2353] lr: 1.300e-02, eta: 21:38:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9900, loss_cls: 2.5052, loss: 2.5052 +2025-06-03 20:51:07,727 - pyskl - INFO - Epoch [74][300/2353] lr: 1.299e-02, eta: 21:37:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 2.4985, loss: 2.4985 +2025-06-03 20:51:50,689 - pyskl - INFO - Epoch [74][400/2353] lr: 1.298e-02, eta: 21:36:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 2.6264, loss: 2.6264 +2025-06-03 20:52:33,953 - pyskl - INFO - Epoch [74][500/2353] lr: 1.297e-02, eta: 21:36:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 2.5542, loss: 2.5542 +2025-06-03 20:53:17,093 - pyskl - INFO - Epoch [74][600/2353] lr: 1.296e-02, eta: 21:35:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 2.6366, loss: 2.6366 +2025-06-03 20:54:00,139 - pyskl - INFO - Epoch [74][700/2353] lr: 1.295e-02, eta: 21:34:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 2.7235, loss: 2.7235 +2025-06-03 20:54:43,206 - pyskl - INFO - Epoch [74][800/2353] lr: 1.293e-02, eta: 21:34:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9831, loss_cls: 2.6477, loss: 2.6477 +2025-06-03 20:55:26,299 - pyskl - INFO - Epoch [74][900/2353] lr: 1.292e-02, eta: 21:33:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9831, loss_cls: 2.5768, loss: 2.5768 +2025-06-03 20:56:09,401 - pyskl - INFO - Epoch [74][1000/2353] lr: 1.291e-02, eta: 21:32:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9831, loss_cls: 2.6215, loss: 2.6215 +2025-06-03 20:56:52,525 - pyskl - INFO - Epoch [74][1100/2353] lr: 1.290e-02, eta: 21:31:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9825, loss_cls: 2.5675, loss: 2.5675 +2025-06-03 20:57:35,654 - pyskl - INFO - Epoch [74][1200/2353] lr: 1.289e-02, eta: 21:31:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9812, loss_cls: 2.6468, loss: 2.6468 +2025-06-03 20:58:18,797 - pyskl - INFO - Epoch [74][1300/2353] lr: 1.288e-02, eta: 21:30:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9912, loss_cls: 2.5904, loss: 2.5904 +2025-06-03 20:59:01,981 - pyskl - INFO - Epoch [74][1400/2353] lr: 1.287e-02, eta: 21:29:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 2.5289, loss: 2.5289 +2025-06-03 20:59:45,202 - pyskl - INFO - Epoch [74][1500/2353] lr: 1.286e-02, eta: 21:29:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 2.6734, loss: 2.6734 +2025-06-03 21:00:28,294 - pyskl - INFO - Epoch [74][1600/2353] lr: 1.285e-02, eta: 21:28:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9762, loss_cls: 2.6948, loss: 2.6948 +2025-06-03 21:01:11,441 - pyskl - INFO - Epoch [74][1700/2353] lr: 1.283e-02, eta: 21:27:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9844, loss_cls: 2.6454, loss: 2.6454 +2025-06-03 21:01:54,630 - pyskl - INFO - Epoch [74][1800/2353] lr: 1.282e-02, eta: 21:26:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9819, loss_cls: 2.6148, loss: 2.6148 +2025-06-03 21:02:37,758 - pyskl - INFO - Epoch [74][1900/2353] lr: 1.281e-02, eta: 21:26:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9856, loss_cls: 2.5795, loss: 2.5795 +2025-06-03 21:03:20,905 - pyskl - INFO - Epoch [74][2000/2353] lr: 1.280e-02, eta: 21:25:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 2.6178, loss: 2.6178 +2025-06-03 21:04:04,129 - pyskl - INFO - Epoch [74][2100/2353] lr: 1.279e-02, eta: 21:24:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9831, loss_cls: 2.7007, loss: 2.7007 +2025-06-03 21:04:47,269 - pyskl - INFO - Epoch [74][2200/2353] lr: 1.278e-02, eta: 21:24:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9806, loss_cls: 2.6013, loss: 2.6013 +2025-06-03 21:05:30,313 - pyskl - INFO - Epoch [74][2300/2353] lr: 1.277e-02, eta: 21:23:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9806, loss_cls: 2.7177, loss: 2.7177 +2025-06-03 21:05:53,707 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-06-03 21:07:18,946 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 21:07:19,021 - pyskl - INFO - +top1_acc 0.8823 +top5_acc 0.9903 +2025-06-03 21:07:19,024 - pyskl - INFO - Epoch(val) [74][1184] top1_acc: 0.8823, top5_acc: 0.9903 +2025-06-03 21:08:22,083 - pyskl - INFO - Epoch [75][100/2353] lr: 1.275e-02, eta: 21:22:11, time: 0.631, data_time: 0.201, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9819, loss_cls: 2.6013, loss: 2.6013 +2025-06-03 21:09:05,213 - pyskl - INFO - Epoch [75][200/2353] lr: 1.274e-02, eta: 21:21:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 2.5256, loss: 2.5256 +2025-06-03 21:09:48,154 - pyskl - INFO - Epoch [75][300/2353] lr: 1.273e-02, eta: 21:20:45, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9862, loss_cls: 2.4633, loss: 2.4633 +2025-06-03 21:10:31,290 - pyskl - INFO - Epoch [75][400/2353] lr: 1.272e-02, eta: 21:20:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 2.5290, loss: 2.5290 +2025-06-03 21:11:14,400 - pyskl - INFO - Epoch [75][500/2353] lr: 1.271e-02, eta: 21:19:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 2.5415, loss: 2.5415 +2025-06-03 21:11:57,417 - pyskl - INFO - Epoch [75][600/2353] lr: 1.270e-02, eta: 21:18:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 2.5995, loss: 2.5995 +2025-06-03 21:12:40,156 - pyskl - INFO - Epoch [75][700/2353] lr: 1.268e-02, eta: 21:17:53, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 2.4903, loss: 2.4903 +2025-06-03 21:13:23,184 - pyskl - INFO - Epoch [75][800/2353] lr: 1.267e-02, eta: 21:17:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9838, loss_cls: 2.5637, loss: 2.5637 +2025-06-03 21:14:06,269 - pyskl - INFO - Epoch [75][900/2353] lr: 1.266e-02, eta: 21:16:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 2.5420, loss: 2.5420 +2025-06-03 21:14:49,331 - pyskl - INFO - Epoch [75][1000/2353] lr: 1.265e-02, eta: 21:15:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9844, loss_cls: 2.5673, loss: 2.5673 +2025-06-03 21:15:32,454 - pyskl - INFO - Epoch [75][1100/2353] lr: 1.264e-02, eta: 21:15:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 2.5953, loss: 2.5953 +2025-06-03 21:16:15,677 - pyskl - INFO - Epoch [75][1200/2353] lr: 1.263e-02, eta: 21:14:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 2.5750, loss: 2.5750 +2025-06-03 21:16:59,182 - pyskl - INFO - Epoch [75][1300/2353] lr: 1.262e-02, eta: 21:13:35, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 2.5678, loss: 2.5678 +2025-06-03 21:17:42,625 - pyskl - INFO - Epoch [75][1400/2353] lr: 1.261e-02, eta: 21:12:52, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9869, loss_cls: 2.6757, loss: 2.6757 +2025-06-03 21:18:25,902 - pyskl - INFO - Epoch [75][1500/2353] lr: 1.260e-02, eta: 21:12:10, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9862, loss_cls: 2.6151, loss: 2.6151 +2025-06-03 21:19:09,152 - pyskl - INFO - Epoch [75][1600/2353] lr: 1.258e-02, eta: 21:11:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9794, loss_cls: 2.7026, loss: 2.7026 +2025-06-03 21:19:52,346 - pyskl - INFO - Epoch [75][1700/2353] lr: 1.257e-02, eta: 21:10:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9838, loss_cls: 2.6659, loss: 2.6659 +2025-06-03 21:20:35,427 - pyskl - INFO - Epoch [75][1800/2353] lr: 1.256e-02, eta: 21:10:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 2.5941, loss: 2.5941 +2025-06-03 21:21:18,406 - pyskl - INFO - Epoch [75][1900/2353] lr: 1.255e-02, eta: 21:09:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 2.5984, loss: 2.5984 +2025-06-03 21:22:01,529 - pyskl - INFO - Epoch [75][2000/2353] lr: 1.254e-02, eta: 21:08:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 2.6231, loss: 2.6231 +2025-06-03 21:22:44,775 - pyskl - INFO - Epoch [75][2100/2353] lr: 1.253e-02, eta: 21:07:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9806, loss_cls: 2.6806, loss: 2.6806 +2025-06-03 21:23:28,041 - pyskl - INFO - Epoch [75][2200/2353] lr: 1.252e-02, eta: 21:07:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9850, loss_cls: 2.5628, loss: 2.5628 +2025-06-03 21:24:11,082 - pyskl - INFO - Epoch [75][2300/2353] lr: 1.251e-02, eta: 21:06:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9850, loss_cls: 2.5953, loss: 2.5953 +2025-06-03 21:24:34,501 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-06-03 21:33:46,008 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 21:33:46,083 - pyskl - INFO - +top1_acc 0.9111 +top5_acc 0.9928 +2025-06-03 21:33:46,086 - pyskl - INFO - Epoch(val) [75][1184] top1_acc: 0.9111, top5_acc: 0.9928 +2025-06-03 21:34:49,402 - pyskl - INFO - Epoch [76][100/2353] lr: 1.249e-02, eta: 21:05:18, time: 0.633, data_time: 0.202, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 2.6178, loss: 2.6178 +2025-06-03 21:35:32,638 - pyskl - INFO - Epoch [76][200/2353] lr: 1.248e-02, eta: 21:04:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9875, loss_cls: 2.5785, loss: 2.5785 +2025-06-03 21:36:15,719 - pyskl - INFO - Epoch [76][300/2353] lr: 1.247e-02, eta: 21:03:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 2.6138, loss: 2.6138 +2025-06-03 21:36:58,913 - pyskl - INFO - Epoch [76][400/2353] lr: 1.246e-02, eta: 21:03:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.4912, loss: 2.4912 +2025-06-03 21:37:42,173 - pyskl - INFO - Epoch [76][500/2353] lr: 1.244e-02, eta: 21:02:26, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 2.5709, loss: 2.5709 +2025-06-03 21:38:25,309 - pyskl - INFO - Epoch [76][600/2353] lr: 1.243e-02, eta: 21:01:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 2.6189, loss: 2.6189 +2025-06-03 21:39:08,489 - pyskl - INFO - Epoch [76][700/2353] lr: 1.242e-02, eta: 21:01:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9919, loss_cls: 2.5198, loss: 2.5198 +2025-06-03 21:39:51,543 - pyskl - INFO - Epoch [76][800/2353] lr: 1.241e-02, eta: 21:00:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9931, loss_cls: 2.4796, loss: 2.4796 +2025-06-03 21:40:34,610 - pyskl - INFO - Epoch [76][900/2353] lr: 1.240e-02, eta: 20:59:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 2.5394, loss: 2.5394 +2025-06-03 21:41:17,717 - pyskl - INFO - Epoch [76][1000/2353] lr: 1.239e-02, eta: 20:58:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9788, loss_cls: 2.6970, loss: 2.6970 +2025-06-03 21:42:00,804 - pyskl - INFO - Epoch [76][1100/2353] lr: 1.238e-02, eta: 20:58:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9862, loss_cls: 2.5514, loss: 2.5514 +2025-06-03 21:42:43,899 - pyskl - INFO - Epoch [76][1200/2353] lr: 1.237e-02, eta: 20:57:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 2.5811, loss: 2.5811 +2025-06-03 21:43:27,262 - pyskl - INFO - Epoch [76][1300/2353] lr: 1.236e-02, eta: 20:56:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 2.5891, loss: 2.5891 +2025-06-03 21:44:10,617 - pyskl - INFO - Epoch [76][1400/2353] lr: 1.234e-02, eta: 20:56:00, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 2.5557, loss: 2.5557 +2025-06-03 21:44:53,805 - pyskl - INFO - Epoch [76][1500/2353] lr: 1.233e-02, eta: 20:55:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9806, loss_cls: 2.6310, loss: 2.6310 +2025-06-03 21:45:36,977 - pyskl - INFO - Epoch [76][1600/2353] lr: 1.232e-02, eta: 20:54:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 2.6399, loss: 2.6399 +2025-06-03 21:46:20,169 - pyskl - INFO - Epoch [76][1700/2353] lr: 1.231e-02, eta: 20:53:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 2.5925, loss: 2.5925 +2025-06-03 21:47:03,338 - pyskl - INFO - Epoch [76][1800/2353] lr: 1.230e-02, eta: 20:53:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 2.5316, loss: 2.5316 +2025-06-03 21:47:46,514 - pyskl - INFO - Epoch [76][1900/2353] lr: 1.229e-02, eta: 20:52:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 2.5574, loss: 2.5574 +2025-06-03 21:48:29,720 - pyskl - INFO - Epoch [76][2000/2353] lr: 1.228e-02, eta: 20:51:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9819, loss_cls: 2.6389, loss: 2.6389 +2025-06-03 21:49:12,916 - pyskl - INFO - Epoch [76][2100/2353] lr: 1.227e-02, eta: 20:50:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 2.6340, loss: 2.6340 +2025-06-03 21:49:56,086 - pyskl - INFO - Epoch [76][2200/2353] lr: 1.226e-02, eta: 20:50:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9900, loss_cls: 2.6134, loss: 2.6134 +2025-06-03 21:50:39,249 - pyskl - INFO - Epoch [76][2300/2353] lr: 1.224e-02, eta: 20:49:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 2.6423, loss: 2.6423 +2025-06-03 21:51:02,630 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-06-03 21:52:27,903 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 21:52:27,978 - pyskl - INFO - +top1_acc 0.9131 +top5_acc 0.9937 +2025-06-03 21:52:27,981 - pyskl - INFO - Epoch(val) [76][1184] top1_acc: 0.9131, top5_acc: 0.9937 +2025-06-03 21:53:31,553 - pyskl - INFO - Epoch [77][100/2353] lr: 1.223e-02, eta: 20:48:25, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 2.5758, loss: 2.5758 +2025-06-03 21:54:14,727 - pyskl - INFO - Epoch [77][200/2353] lr: 1.222e-02, eta: 20:47:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 2.5300, loss: 2.5300 +2025-06-03 21:54:58,210 - pyskl - INFO - Epoch [77][300/2353] lr: 1.220e-02, eta: 20:47:00, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9812, loss_cls: 2.5846, loss: 2.5846 +2025-06-03 21:55:41,413 - pyskl - INFO - Epoch [77][400/2353] lr: 1.219e-02, eta: 20:46:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 2.6977, loss: 2.6977 +2025-06-03 21:56:24,499 - pyskl - INFO - Epoch [77][500/2353] lr: 1.218e-02, eta: 20:45:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9825, loss_cls: 2.4979, loss: 2.4979 +2025-06-03 21:57:07,550 - pyskl - INFO - Epoch [77][600/2353] lr: 1.217e-02, eta: 20:44:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9812, loss_cls: 2.6505, loss: 2.6505 +2025-06-03 21:57:50,649 - pyskl - INFO - Epoch [77][700/2353] lr: 1.216e-02, eta: 20:44:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 2.5687, loss: 2.5687 +2025-06-03 21:58:33,735 - pyskl - INFO - Epoch [77][800/2353] lr: 1.215e-02, eta: 20:43:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9850, loss_cls: 2.5468, loss: 2.5468 +2025-06-03 21:59:16,729 - pyskl - INFO - Epoch [77][900/2353] lr: 1.214e-02, eta: 20:42:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9850, loss_cls: 2.5891, loss: 2.5891 +2025-06-03 21:59:59,725 - pyskl - INFO - Epoch [77][1000/2353] lr: 1.213e-02, eta: 20:41:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9862, loss_cls: 2.5335, loss: 2.5335 +2025-06-03 22:00:42,819 - pyskl - INFO - Epoch [77][1100/2353] lr: 1.212e-02, eta: 20:41:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 2.5611, loss: 2.5611 +2025-06-03 22:01:25,910 - pyskl - INFO - Epoch [77][1200/2353] lr: 1.210e-02, eta: 20:40:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9812, loss_cls: 2.5579, loss: 2.5579 +2025-06-03 22:02:09,303 - pyskl - INFO - Epoch [77][1300/2353] lr: 1.209e-02, eta: 20:39:50, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 2.5329, loss: 2.5329 +2025-06-03 22:02:52,982 - pyskl - INFO - Epoch [77][1400/2353] lr: 1.208e-02, eta: 20:39:08, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9888, loss_cls: 2.5666, loss: 2.5666 +2025-06-03 22:03:36,665 - pyskl - INFO - Epoch [77][1500/2353] lr: 1.207e-02, eta: 20:38:25, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 2.5938, loss: 2.5938 +2025-06-03 22:04:20,139 - pyskl - INFO - Epoch [77][1600/2353] lr: 1.206e-02, eta: 20:37:43, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9838, loss_cls: 2.5500, loss: 2.5500 +2025-06-03 22:05:03,562 - pyskl - INFO - Epoch [77][1700/2353] lr: 1.205e-02, eta: 20:37:00, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9806, loss_cls: 2.5656, loss: 2.5656 +2025-06-03 22:05:46,636 - pyskl - INFO - Epoch [77][1800/2353] lr: 1.204e-02, eta: 20:36:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 2.6357, loss: 2.6357 +2025-06-03 22:06:29,786 - pyskl - INFO - Epoch [77][1900/2353] lr: 1.203e-02, eta: 20:35:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 2.5228, loss: 2.5228 +2025-06-03 22:07:12,918 - pyskl - INFO - Epoch [77][2000/2353] lr: 1.202e-02, eta: 20:34:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9856, loss_cls: 2.5938, loss: 2.5938 +2025-06-03 22:07:56,042 - pyskl - INFO - Epoch [77][2100/2353] lr: 1.200e-02, eta: 20:34:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.4549, loss: 2.4549 +2025-06-03 22:08:39,137 - pyskl - INFO - Epoch [77][2200/2353] lr: 1.199e-02, eta: 20:33:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9812, loss_cls: 2.5636, loss: 2.5636 +2025-06-03 22:09:22,282 - pyskl - INFO - Epoch [77][2300/2353] lr: 1.198e-02, eta: 20:32:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 2.6357, loss: 2.6357 +2025-06-03 22:09:45,717 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-06-03 22:11:11,302 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 22:11:11,377 - pyskl - INFO - +top1_acc 0.9113 +top5_acc 0.9921 +2025-06-03 22:11:11,381 - pyskl - INFO - Epoch(val) [77][1184] top1_acc: 0.9113, top5_acc: 0.9921 +2025-06-03 22:12:14,973 - pyskl - INFO - Epoch [78][100/2353] lr: 1.197e-02, eta: 20:31:34, time: 0.636, data_time: 0.206, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9912, loss_cls: 2.4554, loss: 2.4554 +2025-06-03 22:12:57,970 - pyskl - INFO - Epoch [78][200/2353] lr: 1.195e-02, eta: 20:30:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 2.5404, loss: 2.5404 +2025-06-03 22:13:41,047 - pyskl - INFO - Epoch [78][300/2353] lr: 1.194e-02, eta: 20:30:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9856, loss_cls: 2.5499, loss: 2.5499 +2025-06-03 22:14:24,181 - pyskl - INFO - Epoch [78][400/2353] lr: 1.193e-02, eta: 20:29:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 2.5548, loss: 2.5548 +2025-06-03 22:15:07,214 - pyskl - INFO - Epoch [78][500/2353] lr: 1.192e-02, eta: 20:28:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9850, loss_cls: 2.5696, loss: 2.5696 +2025-06-03 22:15:50,188 - pyskl - INFO - Epoch [78][600/2353] lr: 1.191e-02, eta: 20:27:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 2.5365, loss: 2.5365 +2025-06-03 22:16:33,234 - pyskl - INFO - Epoch [78][700/2353] lr: 1.190e-02, eta: 20:27:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 2.6028, loss: 2.6028 +2025-06-03 22:17:16,231 - pyskl - INFO - Epoch [78][800/2353] lr: 1.189e-02, eta: 20:26:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.4568, loss: 2.4568 +2025-06-03 22:17:59,228 - pyskl - INFO - Epoch [78][900/2353] lr: 1.188e-02, eta: 20:25:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9875, loss_cls: 2.4893, loss: 2.4893 +2025-06-03 22:18:42,291 - pyskl - INFO - Epoch [78][1000/2353] lr: 1.187e-02, eta: 20:25:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9850, loss_cls: 2.5043, loss: 2.5043 +2025-06-03 22:19:25,319 - pyskl - INFO - Epoch [78][1100/2353] lr: 1.185e-02, eta: 20:24:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 2.5974, loss: 2.5974 +2025-06-03 22:20:08,436 - pyskl - INFO - Epoch [78][1200/2353] lr: 1.184e-02, eta: 20:23:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9819, loss_cls: 2.5914, loss: 2.5914 +2025-06-03 22:20:51,565 - pyskl - INFO - Epoch [78][1300/2353] lr: 1.183e-02, eta: 20:22:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 2.4566, loss: 2.4566 +2025-06-03 22:21:34,665 - pyskl - INFO - Epoch [78][1400/2353] lr: 1.182e-02, eta: 20:22:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9838, loss_cls: 2.5050, loss: 2.5050 +2025-06-03 22:22:17,733 - pyskl - INFO - Epoch [78][1500/2353] lr: 1.181e-02, eta: 20:21:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 2.5591, loss: 2.5591 +2025-06-03 22:23:00,809 - pyskl - INFO - Epoch [78][1600/2353] lr: 1.180e-02, eta: 20:20:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 2.4664, loss: 2.4664 +2025-06-03 22:23:43,861 - pyskl - INFO - Epoch [78][1700/2353] lr: 1.179e-02, eta: 20:20:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9869, loss_cls: 2.5393, loss: 2.5393 +2025-06-03 22:24:26,956 - pyskl - INFO - Epoch [78][1800/2353] lr: 1.178e-02, eta: 20:19:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 2.5672, loss: 2.5672 +2025-06-03 22:25:10,023 - pyskl - INFO - Epoch [78][1900/2353] lr: 1.177e-02, eta: 20:18:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 2.5425, loss: 2.5425 +2025-06-03 22:25:53,157 - pyskl - INFO - Epoch [78][2000/2353] lr: 1.175e-02, eta: 20:17:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9850, loss_cls: 2.5650, loss: 2.5650 +2025-06-03 22:26:36,218 - pyskl - INFO - Epoch [78][2100/2353] lr: 1.174e-02, eta: 20:17:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9831, loss_cls: 2.6202, loss: 2.6202 +2025-06-03 22:27:19,298 - pyskl - INFO - Epoch [78][2200/2353] lr: 1.173e-02, eta: 20:16:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9825, loss_cls: 2.5950, loss: 2.5950 +2025-06-03 22:28:02,447 - pyskl - INFO - Epoch [78][2300/2353] lr: 1.172e-02, eta: 20:15:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 2.4745, loss: 2.4745 +2025-06-03 22:28:25,866 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-06-03 22:29:51,200 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 22:29:51,275 - pyskl - INFO - +top1_acc 0.9215 +top5_acc 0.9927 +2025-06-03 22:29:51,326 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_64.pth was removed +2025-06-03 22:29:52,327 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_78.pth. +2025-06-03 22:29:52,328 - pyskl - INFO - Best top1_acc is 0.9215 at 78 epoch. +2025-06-03 22:29:52,330 - pyskl - INFO - Epoch(val) [78][1184] top1_acc: 0.9215, top5_acc: 0.9927 +2025-06-03 22:30:55,864 - pyskl - INFO - Epoch [79][100/2353] lr: 1.170e-02, eta: 20:14:39, time: 0.635, data_time: 0.204, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 2.4327, loss: 2.4327 +2025-06-03 22:31:39,011 - pyskl - INFO - Epoch [79][200/2353] lr: 1.169e-02, eta: 20:13:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 2.5184, loss: 2.5184 +2025-06-03 22:32:22,162 - pyskl - INFO - Epoch [79][300/2353] lr: 1.168e-02, eta: 20:13:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 2.4881, loss: 2.4881 +2025-06-03 22:33:05,330 - pyskl - INFO - Epoch [79][400/2353] lr: 1.167e-02, eta: 20:12:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 2.4416, loss: 2.4416 +2025-06-03 22:33:48,583 - pyskl - INFO - Epoch [79][500/2353] lr: 1.166e-02, eta: 20:11:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9919, loss_cls: 2.4788, loss: 2.4788 +2025-06-03 22:34:31,776 - pyskl - INFO - Epoch [79][600/2353] lr: 1.165e-02, eta: 20:11:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.6022, loss: 2.6022 +2025-06-03 22:35:15,215 - pyskl - INFO - Epoch [79][700/2353] lr: 1.164e-02, eta: 20:10:22, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 2.5016, loss: 2.5016 +2025-06-03 22:35:58,324 - pyskl - INFO - Epoch [79][800/2353] lr: 1.163e-02, eta: 20:09:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 2.4618, loss: 2.4618 +2025-06-03 22:36:41,526 - pyskl - INFO - Epoch [79][900/2353] lr: 1.162e-02, eta: 20:08:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9888, loss_cls: 2.5765, loss: 2.5765 +2025-06-03 22:37:24,849 - pyskl - INFO - Epoch [79][1000/2353] lr: 1.160e-02, eta: 20:08:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9856, loss_cls: 2.5827, loss: 2.5827 +2025-06-03 22:38:08,047 - pyskl - INFO - Epoch [79][1100/2353] lr: 1.159e-02, eta: 20:07:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 2.5207, loss: 2.5207 +2025-06-03 22:38:51,258 - pyskl - INFO - Epoch [79][1200/2353] lr: 1.158e-02, eta: 20:06:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9875, loss_cls: 2.4852, loss: 2.4852 +2025-06-03 22:39:34,674 - pyskl - INFO - Epoch [79][1300/2353] lr: 1.157e-02, eta: 20:06:05, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9844, loss_cls: 2.4705, loss: 2.4705 +2025-06-03 22:40:18,078 - pyskl - INFO - Epoch [79][1400/2353] lr: 1.156e-02, eta: 20:05:22, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9888, loss_cls: 2.5758, loss: 2.5758 +2025-06-03 22:41:01,357 - pyskl - INFO - Epoch [79][1500/2353] lr: 1.155e-02, eta: 20:04:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9844, loss_cls: 2.5816, loss: 2.5816 +2025-06-03 22:41:44,644 - pyskl - INFO - Epoch [79][1600/2353] lr: 1.154e-02, eta: 20:03:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 2.4637, loss: 2.4637 +2025-06-03 22:42:27,804 - pyskl - INFO - Epoch [79][1700/2353] lr: 1.153e-02, eta: 20:03:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 2.5869, loss: 2.5869 +2025-06-03 22:43:11,007 - pyskl - INFO - Epoch [79][1800/2353] lr: 1.152e-02, eta: 20:02:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.4801, loss: 2.4801 +2025-06-03 22:43:54,141 - pyskl - INFO - Epoch [79][1900/2353] lr: 1.150e-02, eta: 20:01:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9794, loss_cls: 2.5668, loss: 2.5668 +2025-06-03 22:44:37,297 - pyskl - INFO - Epoch [79][2000/2353] lr: 1.149e-02, eta: 20:01:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 2.4843, loss: 2.4843 +2025-06-03 22:45:20,466 - pyskl - INFO - Epoch [79][2100/2353] lr: 1.148e-02, eta: 20:00:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 2.5490, loss: 2.5490 +2025-06-03 22:46:03,518 - pyskl - INFO - Epoch [79][2200/2353] lr: 1.147e-02, eta: 19:59:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 2.4810, loss: 2.4810 +2025-06-03 22:46:46,666 - pyskl - INFO - Epoch [79][2300/2353] lr: 1.146e-02, eta: 19:58:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 2.6753, loss: 2.6753 +2025-06-03 22:47:10,196 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-06-03 22:48:35,827 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 22:48:35,901 - pyskl - INFO - +top1_acc 0.8920 +top5_acc 0.9914 +2025-06-03 22:48:35,904 - pyskl - INFO - Epoch(val) [79][1184] top1_acc: 0.8920, top5_acc: 0.9914 +2025-06-03 22:49:39,634 - pyskl - INFO - Epoch [80][100/2353] lr: 1.144e-02, eta: 19:57:48, time: 0.637, data_time: 0.205, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 2.4484, loss: 2.4484 +2025-06-03 22:50:22,780 - pyskl - INFO - Epoch [80][200/2353] lr: 1.143e-02, eta: 19:57:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9862, loss_cls: 2.4217, loss: 2.4217 +2025-06-03 22:51:06,032 - pyskl - INFO - Epoch [80][300/2353] lr: 1.142e-02, eta: 19:56:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 2.5880, loss: 2.5880 +2025-06-03 22:51:49,276 - pyskl - INFO - Epoch [80][400/2353] lr: 1.141e-02, eta: 19:55:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 2.4369, loss: 2.4369 +2025-06-03 22:52:32,342 - pyskl - INFO - Epoch [80][500/2353] lr: 1.140e-02, eta: 19:54:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9881, loss_cls: 2.4169, loss: 2.4169 +2025-06-03 22:53:15,578 - pyskl - INFO - Epoch [80][600/2353] lr: 1.139e-02, eta: 19:54:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9838, loss_cls: 2.6425, loss: 2.6425 +2025-06-03 22:53:58,699 - pyskl - INFO - Epoch [80][700/2353] lr: 1.138e-02, eta: 19:53:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 2.5165, loss: 2.5165 +2025-06-03 22:54:41,730 - pyskl - INFO - Epoch [80][800/2353] lr: 1.137e-02, eta: 19:52:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9862, loss_cls: 2.5318, loss: 2.5318 +2025-06-03 22:55:24,787 - pyskl - INFO - Epoch [80][900/2353] lr: 1.135e-02, eta: 19:52:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 2.5338, loss: 2.5338 +2025-06-03 22:56:07,753 - pyskl - INFO - Epoch [80][1000/2353] lr: 1.134e-02, eta: 19:51:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 2.4982, loss: 2.4982 +2025-06-03 22:56:50,803 - pyskl - INFO - Epoch [80][1100/2353] lr: 1.133e-02, eta: 19:50:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 2.4636, loss: 2.4636 +2025-06-03 22:57:33,797 - pyskl - INFO - Epoch [80][1200/2353] lr: 1.132e-02, eta: 19:49:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 2.5385, loss: 2.5385 +2025-06-03 22:58:17,023 - pyskl - INFO - Epoch [80][1300/2353] lr: 1.131e-02, eta: 19:49:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9894, loss_cls: 2.6222, loss: 2.6222 +2025-06-03 22:59:00,382 - pyskl - INFO - Epoch [80][1400/2353] lr: 1.130e-02, eta: 19:48:30, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9869, loss_cls: 2.5365, loss: 2.5365 +2025-06-03 22:59:43,995 - pyskl - INFO - Epoch [80][1500/2353] lr: 1.129e-02, eta: 19:47:47, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 2.5077, loss: 2.5077 +2025-06-03 23:00:27,539 - pyskl - INFO - Epoch [80][1600/2353] lr: 1.128e-02, eta: 19:47:04, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 2.4903, loss: 2.4903 +2025-06-03 23:01:11,031 - pyskl - INFO - Epoch [80][1700/2353] lr: 1.127e-02, eta: 19:46:22, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 2.4850, loss: 2.4850 +2025-06-03 23:01:54,468 - pyskl - INFO - Epoch [80][1800/2353] lr: 1.125e-02, eta: 19:45:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 2.5443, loss: 2.5443 +2025-06-03 23:02:38,117 - pyskl - INFO - Epoch [80][1900/2353] lr: 1.124e-02, eta: 19:44:57, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9894, loss_cls: 2.5906, loss: 2.5906 +2025-06-03 23:03:21,605 - pyskl - INFO - Epoch [80][2000/2353] lr: 1.123e-02, eta: 19:44:14, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 2.4996, loss: 2.4996 +2025-06-03 23:04:04,986 - pyskl - INFO - Epoch [80][2100/2353] lr: 1.122e-02, eta: 19:43:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9862, loss_cls: 2.6176, loss: 2.6176 +2025-06-03 23:04:48,385 - pyskl - INFO - Epoch [80][2200/2353] lr: 1.121e-02, eta: 19:42:48, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9919, loss_cls: 2.4719, loss: 2.4719 +2025-06-03 23:05:31,728 - pyskl - INFO - Epoch [80][2300/2353] lr: 1.120e-02, eta: 19:42:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 2.4679, loss: 2.4679 +2025-06-03 23:05:55,348 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-06-03 23:15:05,980 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 23:15:06,058 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9928 +2025-06-03 23:15:06,061 - pyskl - INFO - Epoch(val) [80][1184] top1_acc: 0.9042, top5_acc: 0.9928 +2025-06-03 23:16:10,348 - pyskl - INFO - Epoch [81][100/2353] lr: 1.118e-02, eta: 19:40:58, time: 0.643, data_time: 0.210, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 2.4130, loss: 2.4130 +2025-06-03 23:16:53,763 - pyskl - INFO - Epoch [81][200/2353] lr: 1.117e-02, eta: 19:40:16, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 2.3547, loss: 2.3547 +2025-06-03 23:17:37,225 - pyskl - INFO - Epoch [81][300/2353] lr: 1.116e-02, eta: 19:39:33, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 2.5254, loss: 2.5254 +2025-06-03 23:18:20,949 - pyskl - INFO - Epoch [81][400/2353] lr: 1.115e-02, eta: 19:38:51, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 2.4049, loss: 2.4049 +2025-06-03 23:19:04,664 - pyskl - INFO - Epoch [81][500/2353] lr: 1.114e-02, eta: 19:38:08, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 2.4325, loss: 2.4325 +2025-06-03 23:19:48,118 - pyskl - INFO - Epoch [81][600/2353] lr: 1.113e-02, eta: 19:37:25, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 2.5042, loss: 2.5042 +2025-06-03 23:20:31,700 - pyskl - INFO - Epoch [81][700/2353] lr: 1.112e-02, eta: 19:36:43, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 2.5634, loss: 2.5634 +2025-06-03 23:21:15,295 - pyskl - INFO - Epoch [81][800/2353] lr: 1.111e-02, eta: 19:36:00, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9800, loss_cls: 2.4984, loss: 2.4984 +2025-06-03 23:21:58,841 - pyskl - INFO - Epoch [81][900/2353] lr: 1.109e-02, eta: 19:35:18, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9875, loss_cls: 2.5016, loss: 2.5016 +2025-06-03 23:22:42,372 - pyskl - INFO - Epoch [81][1000/2353] lr: 1.108e-02, eta: 19:34:35, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.4724, loss: 2.4724 +2025-06-03 23:23:25,860 - pyskl - INFO - Epoch [81][1100/2353] lr: 1.107e-02, eta: 19:33:52, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 2.5042, loss: 2.5042 +2025-06-03 23:24:09,283 - pyskl - INFO - Epoch [81][1200/2353] lr: 1.106e-02, eta: 19:33:10, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9900, loss_cls: 2.5738, loss: 2.5738 +2025-06-03 23:24:52,867 - pyskl - INFO - Epoch [81][1300/2353] lr: 1.105e-02, eta: 19:32:27, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9856, loss_cls: 2.5232, loss: 2.5232 +2025-06-03 23:25:36,397 - pyskl - INFO - Epoch [81][1400/2353] lr: 1.104e-02, eta: 19:31:44, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 2.4523, loss: 2.4523 +2025-06-03 23:26:19,832 - pyskl - INFO - Epoch [81][1500/2353] lr: 1.103e-02, eta: 19:31:02, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9831, loss_cls: 2.6154, loss: 2.6154 +2025-06-03 23:27:03,317 - pyskl - INFO - Epoch [81][1600/2353] lr: 1.102e-02, eta: 19:30:19, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 2.5209, loss: 2.5209 +2025-06-03 23:27:46,799 - pyskl - INFO - Epoch [81][1700/2353] lr: 1.101e-02, eta: 19:29:36, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 2.5839, loss: 2.5839 +2025-06-03 23:28:30,308 - pyskl - INFO - Epoch [81][1800/2353] lr: 1.099e-02, eta: 19:28:54, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9850, loss_cls: 2.5546, loss: 2.5546 +2025-06-03 23:29:13,852 - pyskl - INFO - Epoch [81][1900/2353] lr: 1.098e-02, eta: 19:28:11, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 2.4364, loss: 2.4364 +2025-06-03 23:29:57,362 - pyskl - INFO - Epoch [81][2000/2353] lr: 1.097e-02, eta: 19:27:28, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9856, loss_cls: 2.6100, loss: 2.6100 +2025-06-03 23:30:40,744 - pyskl - INFO - Epoch [81][2100/2353] lr: 1.096e-02, eta: 19:26:46, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 2.4585, loss: 2.4585 +2025-06-03 23:31:24,096 - pyskl - INFO - Epoch [81][2200/2353] lr: 1.095e-02, eta: 19:26:03, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 2.4977, loss: 2.4977 +2025-06-03 23:32:07,500 - pyskl - INFO - Epoch [81][2300/2353] lr: 1.094e-02, eta: 19:25:20, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9838, loss_cls: 2.5929, loss: 2.5929 +2025-06-03 23:32:31,079 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-06-03 23:33:57,053 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 23:33:57,129 - pyskl - INFO - +top1_acc 0.9201 +top5_acc 0.9931 +2025-06-03 23:33:57,133 - pyskl - INFO - Epoch(val) [81][1184] top1_acc: 0.9201, top5_acc: 0.9931 +2025-06-03 23:35:01,699 - pyskl - INFO - Epoch [82][100/2353] lr: 1.092e-02, eta: 19:24:13, time: 0.646, data_time: 0.209, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 2.3989, loss: 2.3989 +2025-06-03 23:35:45,043 - pyskl - INFO - Epoch [82][200/2353] lr: 1.091e-02, eta: 19:23:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 2.4473, loss: 2.4473 +2025-06-03 23:36:28,407 - pyskl - INFO - Epoch [82][300/2353] lr: 1.090e-02, eta: 19:22:47, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9881, loss_cls: 2.3989, loss: 2.3989 +2025-06-03 23:37:11,924 - pyskl - INFO - Epoch [82][400/2353] lr: 1.089e-02, eta: 19:22:05, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 2.4227, loss: 2.4227 +2025-06-03 23:37:55,220 - pyskl - INFO - Epoch [82][500/2353] lr: 1.088e-02, eta: 19:21:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 2.3884, loss: 2.3884 +2025-06-03 23:38:38,537 - pyskl - INFO - Epoch [82][600/2353] lr: 1.087e-02, eta: 19:20:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 2.5048, loss: 2.5048 +2025-06-03 23:39:21,832 - pyskl - INFO - Epoch [82][700/2353] lr: 1.086e-02, eta: 19:19:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 2.4555, loss: 2.4555 +2025-06-03 23:40:05,185 - pyskl - INFO - Epoch [82][800/2353] lr: 1.085e-02, eta: 19:19:13, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9844, loss_cls: 2.4778, loss: 2.4778 +2025-06-03 23:40:48,489 - pyskl - INFO - Epoch [82][900/2353] lr: 1.083e-02, eta: 19:18:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9869, loss_cls: 2.5565, loss: 2.5565 +2025-06-03 23:41:31,887 - pyskl - INFO - Epoch [82][1000/2353] lr: 1.082e-02, eta: 19:17:48, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 2.4781, loss: 2.4781 +2025-06-03 23:42:15,471 - pyskl - INFO - Epoch [82][1100/2353] lr: 1.081e-02, eta: 19:17:05, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 2.5359, loss: 2.5359 +2025-06-03 23:42:59,027 - pyskl - INFO - Epoch [82][1200/2353] lr: 1.080e-02, eta: 19:16:23, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 2.4762, loss: 2.4762 +2025-06-03 23:43:42,588 - pyskl - INFO - Epoch [82][1300/2353] lr: 1.079e-02, eta: 19:15:40, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 2.5559, loss: 2.5559 +2025-06-03 23:44:26,219 - pyskl - INFO - Epoch [82][1400/2353] lr: 1.078e-02, eta: 19:14:57, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9850, loss_cls: 2.4784, loss: 2.4784 +2025-06-03 23:45:09,631 - pyskl - INFO - Epoch [82][1500/2353] lr: 1.077e-02, eta: 19:14:15, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9906, loss_cls: 2.5719, loss: 2.5719 +2025-06-03 23:45:52,856 - pyskl - INFO - Epoch [82][1600/2353] lr: 1.076e-02, eta: 19:13:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 2.4953, loss: 2.4953 +2025-06-03 23:46:36,163 - pyskl - INFO - Epoch [82][1700/2353] lr: 1.075e-02, eta: 19:12:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9862, loss_cls: 2.4904, loss: 2.4904 +2025-06-03 23:47:19,470 - pyskl - INFO - Epoch [82][1800/2353] lr: 1.073e-02, eta: 19:12:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9825, loss_cls: 2.5896, loss: 2.5896 +2025-06-03 23:48:02,854 - pyskl - INFO - Epoch [82][1900/2353] lr: 1.072e-02, eta: 19:11:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 2.4696, loss: 2.4696 +2025-06-03 23:48:46,166 - pyskl - INFO - Epoch [82][2000/2353] lr: 1.071e-02, eta: 19:10:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9850, loss_cls: 2.5747, loss: 2.5747 +2025-06-03 23:49:29,414 - pyskl - INFO - Epoch [82][2100/2353] lr: 1.070e-02, eta: 19:09:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 2.4810, loss: 2.4810 +2025-06-03 23:50:12,754 - pyskl - INFO - Epoch [82][2200/2353] lr: 1.069e-02, eta: 19:09:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9831, loss_cls: 2.5450, loss: 2.5450 +2025-06-03 23:50:56,010 - pyskl - INFO - Epoch [82][2300/2353] lr: 1.068e-02, eta: 19:08:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9862, loss_cls: 2.5379, loss: 2.5379 +2025-06-03 23:51:19,503 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-06-03 23:52:45,311 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 23:52:45,387 - pyskl - INFO - +top1_acc 0.9059 +top5_acc 0.9911 +2025-06-03 23:52:45,390 - pyskl - INFO - Epoch(val) [82][1184] top1_acc: 0.9059, top5_acc: 0.9911 +2025-06-03 23:53:49,172 - pyskl - INFO - Epoch [83][100/2353] lr: 1.066e-02, eta: 19:07:24, time: 0.638, data_time: 0.205, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.3687, loss: 2.3687 +2025-06-03 23:54:32,505 - pyskl - INFO - Epoch [83][200/2353] lr: 1.065e-02, eta: 19:06:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 2.4694, loss: 2.4694 +2025-06-03 23:55:15,760 - pyskl - INFO - Epoch [83][300/2353] lr: 1.064e-02, eta: 19:05:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 2.4383, loss: 2.4383 +2025-06-03 23:55:59,034 - pyskl - INFO - Epoch [83][400/2353] lr: 1.063e-02, eta: 19:05:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9881, loss_cls: 2.5038, loss: 2.5038 +2025-06-03 23:56:42,315 - pyskl - INFO - Epoch [83][500/2353] lr: 1.062e-02, eta: 19:04:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 2.3940, loss: 2.3940 +2025-06-03 23:57:25,535 - pyskl - INFO - Epoch [83][600/2353] lr: 1.061e-02, eta: 19:03:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9881, loss_cls: 2.4912, loss: 2.4912 +2025-06-03 23:58:08,859 - pyskl - INFO - Epoch [83][700/2353] lr: 1.060e-02, eta: 19:03:07, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 2.4792, loss: 2.4792 +2025-06-03 23:58:52,199 - pyskl - INFO - Epoch [83][800/2353] lr: 1.059e-02, eta: 19:02:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 2.5359, loss: 2.5359 +2025-06-03 23:59:35,532 - pyskl - INFO - Epoch [83][900/2353] lr: 1.058e-02, eta: 19:01:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 2.4223, loss: 2.4223 +2025-06-04 00:00:18,953 - pyskl - INFO - Epoch [83][1000/2353] lr: 1.056e-02, eta: 19:00:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9850, loss_cls: 2.4803, loss: 2.4803 +2025-06-04 00:01:02,270 - pyskl - INFO - Epoch [83][1100/2353] lr: 1.055e-02, eta: 19:00:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9875, loss_cls: 2.4338, loss: 2.4338 +2025-06-04 00:01:45,720 - pyskl - INFO - Epoch [83][1200/2353] lr: 1.054e-02, eta: 18:59:33, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 2.4916, loss: 2.4916 +2025-06-04 00:02:29,136 - pyskl - INFO - Epoch [83][1300/2353] lr: 1.053e-02, eta: 18:58:50, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9869, loss_cls: 2.4666, loss: 2.4666 +2025-06-04 00:03:12,571 - pyskl - INFO - Epoch [83][1400/2353] lr: 1.052e-02, eta: 18:58:08, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 2.4176, loss: 2.4176 +2025-06-04 00:03:56,028 - pyskl - INFO - Epoch [83][1500/2353] lr: 1.051e-02, eta: 18:57:25, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9906, loss_cls: 2.5383, loss: 2.5383 +2025-06-04 00:04:39,443 - pyskl - INFO - Epoch [83][1600/2353] lr: 1.050e-02, eta: 18:56:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9925, loss_cls: 2.4531, loss: 2.4531 +2025-06-04 00:05:22,853 - pyskl - INFO - Epoch [83][1700/2353] lr: 1.049e-02, eta: 18:55:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 2.4645, loss: 2.4645 +2025-06-04 00:06:06,264 - pyskl - INFO - Epoch [83][1800/2353] lr: 1.048e-02, eta: 18:55:17, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9925, loss_cls: 2.3638, loss: 2.3638 +2025-06-04 00:06:49,706 - pyskl - INFO - Epoch [83][1900/2353] lr: 1.047e-02, eta: 18:54:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 2.4826, loss: 2.4826 +2025-06-04 00:07:33,047 - pyskl - INFO - Epoch [83][2000/2353] lr: 1.045e-02, eta: 18:53:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9844, loss_cls: 2.5708, loss: 2.5708 +2025-06-04 00:08:16,370 - pyskl - INFO - Epoch [83][2100/2353] lr: 1.044e-02, eta: 18:53:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 2.3770, loss: 2.3770 +2025-06-04 00:08:59,666 - pyskl - INFO - Epoch [83][2200/2353] lr: 1.043e-02, eta: 18:52:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 2.5734, loss: 2.5734 +2025-06-04 00:09:43,089 - pyskl - INFO - Epoch [83][2300/2353] lr: 1.042e-02, eta: 18:51:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 2.5596, loss: 2.5596 +2025-06-04 00:10:06,722 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-06-04 00:11:32,655 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 00:11:32,731 - pyskl - INFO - +top1_acc 0.9218 +top5_acc 0.9926 +2025-06-04 00:11:32,801 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_78.pth was removed +2025-06-04 00:11:33,945 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_83.pth. +2025-06-04 00:11:33,946 - pyskl - INFO - Best top1_acc is 0.9218 at 83 epoch. +2025-06-04 00:11:33,949 - pyskl - INFO - Epoch(val) [83][1184] top1_acc: 0.9218, top5_acc: 0.9926 +2025-06-04 00:12:38,364 - pyskl - INFO - Epoch [84][100/2353] lr: 1.040e-02, eta: 18:50:35, time: 0.644, data_time: 0.207, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 2.3685, loss: 2.3685 +2025-06-04 00:13:21,899 - pyskl - INFO - Epoch [84][200/2353] lr: 1.039e-02, eta: 18:49:53, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9912, loss_cls: 2.4777, loss: 2.4777 +2025-06-04 00:14:05,455 - pyskl - INFO - Epoch [84][300/2353] lr: 1.038e-02, eta: 18:49:10, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 2.4721, loss: 2.4721 +2025-06-04 00:14:48,974 - pyskl - INFO - Epoch [84][400/2353] lr: 1.037e-02, eta: 18:48:27, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9894, loss_cls: 2.3470, loss: 2.3470 +2025-06-04 00:15:32,633 - pyskl - INFO - Epoch [84][500/2353] lr: 1.036e-02, eta: 18:47:45, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9906, loss_cls: 2.4504, loss: 2.4504 +2025-06-04 00:16:16,062 - pyskl - INFO - Epoch [84][600/2353] lr: 1.035e-02, eta: 18:47:02, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9875, loss_cls: 2.4259, loss: 2.4259 +2025-06-04 00:16:59,559 - pyskl - INFO - Epoch [84][700/2353] lr: 1.034e-02, eta: 18:46:19, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9881, loss_cls: 2.3778, loss: 2.3778 +2025-06-04 00:17:43,187 - pyskl - INFO - Epoch [84][800/2353] lr: 1.033e-02, eta: 18:45:37, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 2.4211, loss: 2.4211 +2025-06-04 00:18:26,862 - pyskl - INFO - Epoch [84][900/2353] lr: 1.032e-02, eta: 18:44:54, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9862, loss_cls: 2.4482, loss: 2.4482 +2025-06-04 00:19:10,276 - pyskl - INFO - Epoch [84][1000/2353] lr: 1.031e-02, eta: 18:44:11, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 2.5083, loss: 2.5083 +2025-06-04 00:19:53,664 - pyskl - INFO - Epoch [84][1100/2353] lr: 1.029e-02, eta: 18:43:29, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 2.4180, loss: 2.4180 +2025-06-04 00:20:37,096 - pyskl - INFO - Epoch [84][1200/2353] lr: 1.028e-02, eta: 18:42:46, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 2.3806, loss: 2.3806 +2025-06-04 00:21:20,554 - pyskl - INFO - Epoch [84][1300/2353] lr: 1.027e-02, eta: 18:42:03, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 2.4476, loss: 2.4476 +2025-06-04 00:22:04,035 - pyskl - INFO - Epoch [84][1400/2353] lr: 1.026e-02, eta: 18:41:20, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 2.4524, loss: 2.4524 +2025-06-04 00:22:47,502 - pyskl - INFO - Epoch [84][1500/2353] lr: 1.025e-02, eta: 18:40:38, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9850, loss_cls: 2.4896, loss: 2.4896 +2025-06-04 00:23:30,995 - pyskl - INFO - Epoch [84][1600/2353] lr: 1.024e-02, eta: 18:39:55, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 2.3892, loss: 2.3892 +2025-06-04 00:24:14,404 - pyskl - INFO - Epoch [84][1700/2353] lr: 1.023e-02, eta: 18:39:12, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 2.6057, loss: 2.6057 +2025-06-04 00:24:57,914 - pyskl - INFO - Epoch [84][1800/2353] lr: 1.022e-02, eta: 18:38:29, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9912, loss_cls: 2.4185, loss: 2.4185 +2025-06-04 00:25:41,404 - pyskl - INFO - Epoch [84][1900/2353] lr: 1.021e-02, eta: 18:37:47, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 2.3912, loss: 2.3912 +2025-06-04 00:26:24,923 - pyskl - INFO - Epoch [84][2000/2353] lr: 1.020e-02, eta: 18:37:04, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9844, loss_cls: 2.5324, loss: 2.5324 +2025-06-04 00:27:08,363 - pyskl - INFO - Epoch [84][2100/2353] lr: 1.019e-02, eta: 18:36:21, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 2.4950, loss: 2.4950 +2025-06-04 00:27:51,813 - pyskl - INFO - Epoch [84][2200/2353] lr: 1.017e-02, eta: 18:35:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 2.5042, loss: 2.5042 +2025-06-04 00:28:35,242 - pyskl - INFO - Epoch [84][2300/2353] lr: 1.016e-02, eta: 18:34:56, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 2.4658, loss: 2.4658 +2025-06-04 00:28:58,901 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-06-04 00:30:24,656 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 00:30:24,731 - pyskl - INFO - +top1_acc 0.9163 +top5_acc 0.9934 +2025-06-04 00:30:24,734 - pyskl - INFO - Epoch(val) [84][1184] top1_acc: 0.9163, top5_acc: 0.9934 +2025-06-04 00:31:28,567 - pyskl - INFO - Epoch [85][100/2353] lr: 1.015e-02, eta: 18:33:48, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9894, loss_cls: 2.3193, loss: 2.3193 +2025-06-04 00:32:11,814 - pyskl - INFO - Epoch [85][200/2353] lr: 1.014e-02, eta: 18:33:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 2.4586, loss: 2.4586 +2025-06-04 00:32:55,123 - pyskl - INFO - Epoch [85][300/2353] lr: 1.013e-02, eta: 18:32:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 2.4072, loss: 2.4072 +2025-06-04 00:33:38,444 - pyskl - INFO - Epoch [85][400/2353] lr: 1.011e-02, eta: 18:31:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9869, loss_cls: 2.4175, loss: 2.4175 +2025-06-04 00:34:21,844 - pyskl - INFO - Epoch [85][500/2353] lr: 1.010e-02, eta: 18:30:57, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9906, loss_cls: 2.3069, loss: 2.3069 +2025-06-04 00:35:05,189 - pyskl - INFO - Epoch [85][600/2353] lr: 1.009e-02, eta: 18:30:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9881, loss_cls: 2.4113, loss: 2.4113 +2025-06-04 00:35:48,616 - pyskl - INFO - Epoch [85][700/2353] lr: 1.008e-02, eta: 18:29:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9844, loss_cls: 2.5191, loss: 2.5191 +2025-06-04 00:36:31,882 - pyskl - INFO - Epoch [85][800/2353] lr: 1.007e-02, eta: 18:28:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9881, loss_cls: 2.4292, loss: 2.4292 +2025-06-04 00:37:15,206 - pyskl - INFO - Epoch [85][900/2353] lr: 1.006e-02, eta: 18:28:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 2.5098, loss: 2.5098 +2025-06-04 00:37:58,522 - pyskl - INFO - Epoch [85][1000/2353] lr: 1.005e-02, eta: 18:27:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 2.4224, loss: 2.4224 +2025-06-04 00:38:41,943 - pyskl - INFO - Epoch [85][1100/2353] lr: 1.004e-02, eta: 18:26:40, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9944, loss_cls: 2.3692, loss: 2.3692 +2025-06-04 00:39:25,205 - pyskl - INFO - Epoch [85][1200/2353] lr: 1.003e-02, eta: 18:25:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9850, loss_cls: 2.4490, loss: 2.4490 +2025-06-04 00:40:08,627 - pyskl - INFO - Epoch [85][1300/2353] lr: 1.002e-02, eta: 18:25:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 2.4021, loss: 2.4021 +2025-06-04 00:40:52,008 - pyskl - INFO - Epoch [85][1400/2353] lr: 1.001e-02, eta: 18:24:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 2.5220, loss: 2.5220 +2025-06-04 00:41:35,372 - pyskl - INFO - Epoch [85][1500/2353] lr: 9.994e-03, eta: 18:23:48, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9900, loss_cls: 2.5151, loss: 2.5151 +2025-06-04 00:42:18,579 - pyskl - INFO - Epoch [85][1600/2353] lr: 9.983e-03, eta: 18:23:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9881, loss_cls: 2.3877, loss: 2.3877 +2025-06-04 00:43:01,968 - pyskl - INFO - Epoch [85][1700/2353] lr: 9.972e-03, eta: 18:22:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9862, loss_cls: 2.4105, loss: 2.4105 +2025-06-04 00:43:45,305 - pyskl - INFO - Epoch [85][1800/2353] lr: 9.961e-03, eta: 18:21:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 2.3988, loss: 2.3988 +2025-06-04 00:44:28,732 - pyskl - INFO - Epoch [85][1900/2353] lr: 9.951e-03, eta: 18:20:57, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9838, loss_cls: 2.4891, loss: 2.4891 +2025-06-04 00:45:12,115 - pyskl - INFO - Epoch [85][2000/2353] lr: 9.940e-03, eta: 18:20:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9850, loss_cls: 2.4522, loss: 2.4522 +2025-06-04 00:45:55,576 - pyskl - INFO - Epoch [85][2100/2353] lr: 9.929e-03, eta: 18:19:31, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9912, loss_cls: 2.4652, loss: 2.4652 +2025-06-04 00:46:39,023 - pyskl - INFO - Epoch [85][2200/2353] lr: 9.918e-03, eta: 18:18:49, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 2.5158, loss: 2.5158 +2025-06-04 00:47:22,295 - pyskl - INFO - Epoch [85][2300/2353] lr: 9.907e-03, eta: 18:18:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 2.4703, loss: 2.4703 +2025-06-04 00:47:45,931 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-06-04 00:56:27,936 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 00:56:28,013 - pyskl - INFO - +top1_acc 0.9116 +top5_acc 0.9924 +2025-06-04 00:56:28,016 - pyskl - INFO - Epoch(val) [85][1184] top1_acc: 0.9116, top5_acc: 0.9924 +2025-06-04 00:57:32,251 - pyskl - INFO - Epoch [86][100/2353] lr: 9.890e-03, eta: 18:16:59, time: 0.642, data_time: 0.206, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9881, loss_cls: 2.3885, loss: 2.3885 +2025-06-04 00:58:15,544 - pyskl - INFO - Epoch [86][200/2353] lr: 9.879e-03, eta: 18:16:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9888, loss_cls: 2.3616, loss: 2.3616 +2025-06-04 00:58:58,866 - pyskl - INFO - Epoch [86][300/2353] lr: 9.869e-03, eta: 18:15:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 2.3351, loss: 2.3351 +2025-06-04 00:59:42,112 - pyskl - INFO - Epoch [86][400/2353] lr: 9.858e-03, eta: 18:14:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9925, loss_cls: 2.4414, loss: 2.4414 +2025-06-04 01:00:25,398 - pyskl - INFO - Epoch [86][500/2353] lr: 9.847e-03, eta: 18:14:07, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 2.3969, loss: 2.3969 +2025-06-04 01:01:08,695 - pyskl - INFO - Epoch [86][600/2353] lr: 9.836e-03, eta: 18:13:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 2.4509, loss: 2.4509 +2025-06-04 01:01:52,027 - pyskl - INFO - Epoch [86][700/2353] lr: 9.825e-03, eta: 18:12:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 2.4230, loss: 2.4230 +2025-06-04 01:02:35,266 - pyskl - INFO - Epoch [86][800/2353] lr: 9.814e-03, eta: 18:11:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 2.5160, loss: 2.5160 +2025-06-04 01:03:18,529 - pyskl - INFO - Epoch [86][900/2353] lr: 9.803e-03, eta: 18:11:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 2.3903, loss: 2.3903 +2025-06-04 01:04:01,812 - pyskl - INFO - Epoch [86][1000/2353] lr: 9.792e-03, eta: 18:10:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 2.4040, loss: 2.4040 +2025-06-04 01:04:44,976 - pyskl - INFO - Epoch [86][1100/2353] lr: 9.782e-03, eta: 18:09:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 2.4330, loss: 2.4330 +2025-06-04 01:05:28,216 - pyskl - INFO - Epoch [86][1200/2353] lr: 9.771e-03, eta: 18:09:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9950, loss_cls: 2.4638, loss: 2.4638 +2025-06-04 01:06:11,484 - pyskl - INFO - Epoch [86][1300/2353] lr: 9.760e-03, eta: 18:08:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 2.3361, loss: 2.3361 +2025-06-04 01:06:54,750 - pyskl - INFO - Epoch [86][1400/2353] lr: 9.749e-03, eta: 18:07:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 2.3388, loss: 2.3388 +2025-06-04 01:07:38,042 - pyskl - INFO - Epoch [86][1500/2353] lr: 9.738e-03, eta: 18:06:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9838, loss_cls: 2.4400, loss: 2.4400 +2025-06-04 01:08:21,335 - pyskl - INFO - Epoch [86][1600/2353] lr: 9.727e-03, eta: 18:06:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9875, loss_cls: 2.4372, loss: 2.4372 +2025-06-04 01:09:04,679 - pyskl - INFO - Epoch [86][1700/2353] lr: 9.717e-03, eta: 18:05:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 2.4024, loss: 2.4024 +2025-06-04 01:09:48,052 - pyskl - INFO - Epoch [86][1800/2353] lr: 9.706e-03, eta: 18:04:49, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9919, loss_cls: 2.4961, loss: 2.4961 +2025-06-04 01:10:31,560 - pyskl - INFO - Epoch [86][1900/2353] lr: 9.695e-03, eta: 18:04:07, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 2.4082, loss: 2.4082 +2025-06-04 01:11:14,943 - pyskl - INFO - Epoch [86][2000/2353] lr: 9.684e-03, eta: 18:03:24, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.3809, loss: 2.3809 +2025-06-04 01:11:58,315 - pyskl - INFO - Epoch [86][2100/2353] lr: 9.673e-03, eta: 18:02:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 2.4621, loss: 2.4621 +2025-06-04 01:12:41,717 - pyskl - INFO - Epoch [86][2200/2353] lr: 9.662e-03, eta: 18:01:58, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 2.5708, loss: 2.5708 +2025-06-04 01:13:25,010 - pyskl - INFO - Epoch [86][2300/2353] lr: 9.651e-03, eta: 18:01:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9831, loss_cls: 2.4508, loss: 2.4508 +2025-06-04 01:13:48,578 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-06-04 01:15:14,574 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 01:15:14,649 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9929 +2025-06-04 01:15:14,707 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_83.pth was removed +2025-06-04 01:15:15,801 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. +2025-06-04 01:15:15,802 - pyskl - INFO - Best top1_acc is 0.9223 at 86 epoch. +2025-06-04 01:15:15,805 - pyskl - INFO - Epoch(val) [86][1184] top1_acc: 0.9223, top5_acc: 0.9929 +2025-06-04 01:16:19,603 - pyskl - INFO - Epoch [87][100/2353] lr: 9.635e-03, eta: 18:00:08, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 2.3944, loss: 2.3944 +2025-06-04 01:17:02,845 - pyskl - INFO - Epoch [87][200/2353] lr: 9.624e-03, eta: 17:59:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 2.3337, loss: 2.3337 +2025-06-04 01:17:46,164 - pyskl - INFO - Epoch [87][300/2353] lr: 9.613e-03, eta: 17:58:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 2.3473, loss: 2.3473 +2025-06-04 01:18:29,499 - pyskl - INFO - Epoch [87][400/2353] lr: 9.602e-03, eta: 17:57:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 2.3887, loss: 2.3887 +2025-06-04 01:19:12,783 - pyskl - INFO - Epoch [87][500/2353] lr: 9.592e-03, eta: 17:57:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9831, loss_cls: 2.4387, loss: 2.4387 +2025-06-04 01:19:56,131 - pyskl - INFO - Epoch [87][600/2353] lr: 9.581e-03, eta: 17:56:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 2.3449, loss: 2.3449 +2025-06-04 01:20:39,814 - pyskl - INFO - Epoch [87][700/2353] lr: 9.570e-03, eta: 17:55:51, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 2.4209, loss: 2.4209 +2025-06-04 01:21:23,255 - pyskl - INFO - Epoch [87][800/2353] lr: 9.559e-03, eta: 17:55:08, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 2.4219, loss: 2.4219 +2025-06-04 01:22:06,539 - pyskl - INFO - Epoch [87][900/2353] lr: 9.548e-03, eta: 17:54:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 2.4608, loss: 2.4608 +2025-06-04 01:22:49,880 - pyskl - INFO - Epoch [87][1000/2353] lr: 9.538e-03, eta: 17:53:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 2.2952, loss: 2.2952 +2025-06-04 01:23:33,211 - pyskl - INFO - Epoch [87][1100/2353] lr: 9.527e-03, eta: 17:52:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 2.4092, loss: 2.4092 +2025-06-04 01:24:16,577 - pyskl - INFO - Epoch [87][1200/2353] lr: 9.516e-03, eta: 17:52:17, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 2.3447, loss: 2.3447 +2025-06-04 01:24:59,893 - pyskl - INFO - Epoch [87][1300/2353] lr: 9.505e-03, eta: 17:51:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9875, loss_cls: 2.3804, loss: 2.3804 +2025-06-04 01:25:43,378 - pyskl - INFO - Epoch [87][1400/2353] lr: 9.494e-03, eta: 17:50:51, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 2.4436, loss: 2.4436 +2025-06-04 01:26:26,869 - pyskl - INFO - Epoch [87][1500/2353] lr: 9.483e-03, eta: 17:50:08, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9875, loss_cls: 2.4600, loss: 2.4600 +2025-06-04 01:27:10,367 - pyskl - INFO - Epoch [87][1600/2353] lr: 9.473e-03, eta: 17:49:25, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9881, loss_cls: 2.4402, loss: 2.4402 +2025-06-04 01:27:53,766 - pyskl - INFO - Epoch [87][1700/2353] lr: 9.462e-03, eta: 17:48:43, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 2.4675, loss: 2.4675 +2025-06-04 01:28:37,113 - pyskl - INFO - Epoch [87][1800/2353] lr: 9.451e-03, eta: 17:48:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9875, loss_cls: 2.3114, loss: 2.3114 +2025-06-04 01:29:20,236 - pyskl - INFO - Epoch [87][1900/2353] lr: 9.440e-03, eta: 17:47:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9869, loss_cls: 2.5053, loss: 2.5053 +2025-06-04 01:30:03,657 - pyskl - INFO - Epoch [87][2000/2353] lr: 9.430e-03, eta: 17:46:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9869, loss_cls: 2.3913, loss: 2.3913 +2025-06-04 01:30:46,925 - pyskl - INFO - Epoch [87][2100/2353] lr: 9.419e-03, eta: 17:45:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 2.4990, loss: 2.4990 +2025-06-04 01:31:30,141 - pyskl - INFO - Epoch [87][2200/2353] lr: 9.408e-03, eta: 17:45:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 2.4628, loss: 2.4628 +2025-06-04 01:32:13,579 - pyskl - INFO - Epoch [87][2300/2353] lr: 9.397e-03, eta: 17:44:25, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 2.4391, loss: 2.4391 +2025-06-04 01:32:37,061 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-06-04 01:34:02,175 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 01:34:02,250 - pyskl - INFO - +top1_acc 0.9165 +top5_acc 0.9932 +2025-06-04 01:34:02,253 - pyskl - INFO - Epoch(val) [87][1184] top1_acc: 0.9165, top5_acc: 0.9932 +2025-06-04 01:35:06,040 - pyskl - INFO - Epoch [88][100/2353] lr: 9.381e-03, eta: 17:43:18, time: 0.638, data_time: 0.202, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 2.2959, loss: 2.2959 +2025-06-04 01:35:49,407 - pyskl - INFO - Epoch [88][200/2353] lr: 9.370e-03, eta: 17:42:35, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 2.3051, loss: 2.3051 +2025-06-04 01:36:32,633 - pyskl - INFO - Epoch [88][300/2353] lr: 9.359e-03, eta: 17:41:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 2.3168, loss: 2.3168 +2025-06-04 01:37:15,943 - pyskl - INFO - Epoch [88][400/2353] lr: 9.348e-03, eta: 17:41:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 2.3962, loss: 2.3962 +2025-06-04 01:37:59,320 - pyskl - INFO - Epoch [88][500/2353] lr: 9.338e-03, eta: 17:40:26, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9938, loss_cls: 2.3426, loss: 2.3426 +2025-06-04 01:38:42,952 - pyskl - INFO - Epoch [88][600/2353] lr: 9.327e-03, eta: 17:39:44, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9862, loss_cls: 2.3785, loss: 2.3785 +2025-06-04 01:39:26,368 - pyskl - INFO - Epoch [88][700/2353] lr: 9.316e-03, eta: 17:39:01, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 2.3982, loss: 2.3982 +2025-06-04 01:40:09,686 - pyskl - INFO - Epoch [88][800/2353] lr: 9.305e-03, eta: 17:38:18, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 2.3823, loss: 2.3823 +2025-06-04 01:40:53,011 - pyskl - INFO - Epoch [88][900/2353] lr: 9.295e-03, eta: 17:37:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 2.3437, loss: 2.3437 +2025-06-04 01:41:36,283 - pyskl - INFO - Epoch [88][1000/2353] lr: 9.284e-03, eta: 17:36:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9881, loss_cls: 2.3006, loss: 2.3006 +2025-06-04 01:42:19,532 - pyskl - INFO - Epoch [88][1100/2353] lr: 9.273e-03, eta: 17:36:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 2.3497, loss: 2.3497 +2025-06-04 01:43:02,775 - pyskl - INFO - Epoch [88][1200/2353] lr: 9.262e-03, eta: 17:35:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 2.4249, loss: 2.4249 +2025-06-04 01:43:46,057 - pyskl - INFO - Epoch [88][1300/2353] lr: 9.252e-03, eta: 17:34:43, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9862, loss_cls: 2.3608, loss: 2.3608 +2025-06-04 01:44:29,527 - pyskl - INFO - Epoch [88][1400/2353] lr: 9.241e-03, eta: 17:34:00, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 2.3482, loss: 2.3482 +2025-06-04 01:45:12,979 - pyskl - INFO - Epoch [88][1500/2353] lr: 9.230e-03, eta: 17:33:18, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 2.4602, loss: 2.4602 +2025-06-04 01:45:56,310 - pyskl - INFO - Epoch [88][1600/2353] lr: 9.219e-03, eta: 17:32:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 2.4814, loss: 2.4814 +2025-06-04 01:46:39,691 - pyskl - INFO - Epoch [88][1700/2353] lr: 9.209e-03, eta: 17:31:52, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 2.3812, loss: 2.3812 +2025-06-04 01:47:23,064 - pyskl - INFO - Epoch [88][1800/2353] lr: 9.198e-03, eta: 17:31:09, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 2.3435, loss: 2.3435 +2025-06-04 01:48:06,491 - pyskl - INFO - Epoch [88][1900/2353] lr: 9.187e-03, eta: 17:30:26, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 2.3955, loss: 2.3955 +2025-06-04 01:48:49,972 - pyskl - INFO - Epoch [88][2000/2353] lr: 9.176e-03, eta: 17:29:43, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9838, loss_cls: 2.4031, loss: 2.4031 +2025-06-04 01:49:33,333 - pyskl - INFO - Epoch [88][2100/2353] lr: 9.166e-03, eta: 17:29:01, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9875, loss_cls: 2.4074, loss: 2.4074 +2025-06-04 01:50:16,634 - pyskl - INFO - Epoch [88][2200/2353] lr: 9.155e-03, eta: 17:28:18, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9862, loss_cls: 2.4547, loss: 2.4547 +2025-06-04 01:51:00,048 - pyskl - INFO - Epoch [88][2300/2353] lr: 9.144e-03, eta: 17:27:35, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 2.3486, loss: 2.3486 +2025-06-04 01:51:23,674 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-06-04 01:52:49,774 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 01:52:49,849 - pyskl - INFO - +top1_acc 0.9117 +top5_acc 0.9938 +2025-06-04 01:52:49,852 - pyskl - INFO - Epoch(val) [88][1184] top1_acc: 0.9117, top5_acc: 0.9938 +2025-06-04 01:53:53,790 - pyskl - INFO - Epoch [89][100/2353] lr: 9.128e-03, eta: 17:26:28, time: 0.639, data_time: 0.206, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 2.2538, loss: 2.2538 +2025-06-04 01:54:37,102 - pyskl - INFO - Epoch [89][200/2353] lr: 9.117e-03, eta: 17:25:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 2.2853, loss: 2.2853 +2025-06-04 01:55:20,434 - pyskl - INFO - Epoch [89][300/2353] lr: 9.106e-03, eta: 17:25:02, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 2.4010, loss: 2.4010 +2025-06-04 01:56:03,952 - pyskl - INFO - Epoch [89][400/2353] lr: 9.096e-03, eta: 17:24:19, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9894, loss_cls: 2.2310, loss: 2.2310 +2025-06-04 01:56:47,359 - pyskl - INFO - Epoch [89][500/2353] lr: 9.085e-03, eta: 17:23:36, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 2.3458, loss: 2.3458 +2025-06-04 01:57:30,650 - pyskl - INFO - Epoch [89][600/2353] lr: 9.074e-03, eta: 17:22:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9881, loss_cls: 2.3317, loss: 2.3317 +2025-06-04 01:58:14,012 - pyskl - INFO - Epoch [89][700/2353] lr: 9.064e-03, eta: 17:22:10, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 2.2973, loss: 2.2973 +2025-06-04 01:58:57,524 - pyskl - INFO - Epoch [89][800/2353] lr: 9.053e-03, eta: 17:21:28, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 2.3542, loss: 2.3542 +2025-06-04 01:59:40,793 - pyskl - INFO - Epoch [89][900/2353] lr: 9.042e-03, eta: 17:20:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 2.3084, loss: 2.3084 +2025-06-04 02:00:24,077 - pyskl - INFO - Epoch [89][1000/2353] lr: 9.032e-03, eta: 17:20:02, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9900, loss_cls: 2.2646, loss: 2.2646 +2025-06-04 02:01:07,436 - pyskl - INFO - Epoch [89][1100/2353] lr: 9.021e-03, eta: 17:19:19, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9950, loss_cls: 2.3731, loss: 2.3731 +2025-06-04 02:01:50,900 - pyskl - INFO - Epoch [89][1200/2353] lr: 9.010e-03, eta: 17:18:36, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9869, loss_cls: 2.4542, loss: 2.4542 +2025-06-04 02:02:34,266 - pyskl - INFO - Epoch [89][1300/2353] lr: 9.000e-03, eta: 17:17:53, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 2.4002, loss: 2.4002 +2025-06-04 02:03:17,763 - pyskl - INFO - Epoch [89][1400/2353] lr: 8.989e-03, eta: 17:17:11, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 2.3481, loss: 2.3481 +2025-06-04 02:04:01,148 - pyskl - INFO - Epoch [89][1500/2353] lr: 8.978e-03, eta: 17:16:28, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9881, loss_cls: 2.3987, loss: 2.3987 +2025-06-04 02:04:44,616 - pyskl - INFO - Epoch [89][1600/2353] lr: 8.967e-03, eta: 17:15:45, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 2.3567, loss: 2.3567 +2025-06-04 02:05:28,011 - pyskl - INFO - Epoch [89][1700/2353] lr: 8.957e-03, eta: 17:15:02, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 2.3238, loss: 2.3238 +2025-06-04 02:06:11,366 - pyskl - INFO - Epoch [89][1800/2353] lr: 8.946e-03, eta: 17:14:19, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 2.4671, loss: 2.4671 +2025-06-04 02:06:54,768 - pyskl - INFO - Epoch [89][1900/2353] lr: 8.935e-03, eta: 17:13:36, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9881, loss_cls: 2.4582, loss: 2.4582 +2025-06-04 02:07:38,162 - pyskl - INFO - Epoch [89][2000/2353] lr: 8.925e-03, eta: 17:12:53, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 2.3884, loss: 2.3884 +2025-06-04 02:08:21,412 - pyskl - INFO - Epoch [89][2100/2353] lr: 8.914e-03, eta: 17:12:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.3646, loss: 2.3646 +2025-06-04 02:09:04,726 - pyskl - INFO - Epoch [89][2200/2353] lr: 8.904e-03, eta: 17:11:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 2.4295, loss: 2.4295 +2025-06-04 02:09:48,070 - pyskl - INFO - Epoch [89][2300/2353] lr: 8.893e-03, eta: 17:10:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 2.3918, loss: 2.3918 +2025-06-04 02:10:11,662 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-06-04 02:11:37,660 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 02:11:37,735 - pyskl - INFO - +top1_acc 0.9236 +top5_acc 0.9932 +2025-06-04 02:11:37,792 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_86.pth was removed +2025-06-04 02:11:38,863 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. +2025-06-04 02:11:38,864 - pyskl - INFO - Best top1_acc is 0.9236 at 89 epoch. +2025-06-04 02:11:38,867 - pyskl - INFO - Epoch(val) [89][1184] top1_acc: 0.9236, top5_acc: 0.9932 +2025-06-04 02:12:42,920 - pyskl - INFO - Epoch [90][100/2353] lr: 8.877e-03, eta: 17:09:38, time: 0.640, data_time: 0.205, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 2.3416, loss: 2.3416 +2025-06-04 02:13:26,499 - pyskl - INFO - Epoch [90][200/2353] lr: 8.866e-03, eta: 17:08:55, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9881, loss_cls: 2.2899, loss: 2.2899 +2025-06-04 02:14:10,070 - pyskl - INFO - Epoch [90][300/2353] lr: 8.855e-03, eta: 17:08:12, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9894, loss_cls: 2.3043, loss: 2.3043 +2025-06-04 02:14:53,597 - pyskl - INFO - Epoch [90][400/2353] lr: 8.845e-03, eta: 17:07:29, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 2.3052, loss: 2.3052 +2025-06-04 02:15:37,185 - pyskl - INFO - Epoch [90][500/2353] lr: 8.834e-03, eta: 17:06:47, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9875, loss_cls: 2.3408, loss: 2.3408 +2025-06-04 02:16:20,581 - pyskl - INFO - Epoch [90][600/2353] lr: 8.823e-03, eta: 17:06:04, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9869, loss_cls: 2.3641, loss: 2.3641 +2025-06-04 02:17:03,952 - pyskl - INFO - Epoch [90][700/2353] lr: 8.813e-03, eta: 17:05:21, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9881, loss_cls: 2.3175, loss: 2.3175 +2025-06-04 02:17:47,332 - pyskl - INFO - Epoch [90][800/2353] lr: 8.802e-03, eta: 17:04:38, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 2.3484, loss: 2.3484 +2025-06-04 02:18:30,631 - pyskl - INFO - Epoch [90][900/2353] lr: 8.791e-03, eta: 17:03:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 2.3324, loss: 2.3324 +2025-06-04 02:19:13,938 - pyskl - INFO - Epoch [90][1000/2353] lr: 8.781e-03, eta: 17:03:12, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 2.3012, loss: 2.3012 +2025-06-04 02:19:57,337 - pyskl - INFO - Epoch [90][1100/2353] lr: 8.770e-03, eta: 17:02:29, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 2.2658, loss: 2.2658 +2025-06-04 02:20:40,631 - pyskl - INFO - Epoch [90][1200/2353] lr: 8.760e-03, eta: 17:01:46, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9925, loss_cls: 2.3644, loss: 2.3644 +2025-06-04 02:21:23,915 - pyskl - INFO - Epoch [90][1300/2353] lr: 8.749e-03, eta: 17:01:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9875, loss_cls: 2.3973, loss: 2.3973 +2025-06-04 02:22:07,384 - pyskl - INFO - Epoch [90][1400/2353] lr: 8.738e-03, eta: 17:00:21, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9950, loss_cls: 2.3659, loss: 2.3659 +2025-06-04 02:22:50,707 - pyskl - INFO - Epoch [90][1500/2353] lr: 8.728e-03, eta: 16:59:38, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 2.3112, loss: 2.3112 +2025-06-04 02:23:34,158 - pyskl - INFO - Epoch [90][1600/2353] lr: 8.717e-03, eta: 16:58:55, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 2.3209, loss: 2.3209 +2025-06-04 02:24:17,522 - pyskl - INFO - Epoch [90][1700/2353] lr: 8.707e-03, eta: 16:58:12, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 2.3155, loss: 2.3155 +2025-06-04 02:25:00,990 - pyskl - INFO - Epoch [90][1800/2353] lr: 8.696e-03, eta: 16:57:29, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 2.3503, loss: 2.3503 +2025-06-04 02:25:44,432 - pyskl - INFO - Epoch [90][1900/2353] lr: 8.685e-03, eta: 16:56:46, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 2.4157, loss: 2.4157 +2025-06-04 02:26:27,894 - pyskl - INFO - Epoch [90][2000/2353] lr: 8.675e-03, eta: 16:56:04, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9944, loss_cls: 2.3895, loss: 2.3895 +2025-06-04 02:27:11,265 - pyskl - INFO - Epoch [90][2100/2353] lr: 8.664e-03, eta: 16:55:21, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 2.4545, loss: 2.4545 +2025-06-04 02:27:54,500 - pyskl - INFO - Epoch [90][2200/2353] lr: 8.654e-03, eta: 16:54:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 2.3461, loss: 2.3461 +2025-06-04 02:28:37,705 - pyskl - INFO - Epoch [90][2300/2353] lr: 8.643e-03, eta: 16:53:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 2.3268, loss: 2.3268 +2025-06-04 02:29:01,180 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-06-04 02:37:57,973 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 02:37:58,047 - pyskl - INFO - +top1_acc 0.9236 +top5_acc 0.9937 +2025-06-04 02:37:58,100 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_89.pth was removed +2025-06-04 02:37:59,152 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_90.pth. +2025-06-04 02:37:59,152 - pyskl - INFO - Best top1_acc is 0.9236 at 90 epoch. +2025-06-04 02:37:59,155 - pyskl - INFO - Epoch(val) [90][1184] top1_acc: 0.9236, top5_acc: 0.9937 +2025-06-04 02:39:03,041 - pyskl - INFO - Epoch [91][100/2353] lr: 8.627e-03, eta: 16:52:48, time: 0.639, data_time: 0.207, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 2.3400, loss: 2.3400 +2025-06-04 02:39:46,273 - pyskl - INFO - Epoch [91][200/2353] lr: 8.616e-03, eta: 16:52:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 2.2184, loss: 2.2184 +2025-06-04 02:40:29,646 - pyskl - INFO - Epoch [91][300/2353] lr: 8.606e-03, eta: 16:51:22, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 2.3173, loss: 2.3173 +2025-06-04 02:41:12,956 - pyskl - INFO - Epoch [91][400/2353] lr: 8.595e-03, eta: 16:50:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9906, loss_cls: 2.2680, loss: 2.2680 +2025-06-04 02:41:56,335 - pyskl - INFO - Epoch [91][500/2353] lr: 8.585e-03, eta: 16:49:56, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9894, loss_cls: 2.2712, loss: 2.2712 +2025-06-04 02:42:39,718 - pyskl - INFO - Epoch [91][600/2353] lr: 8.574e-03, eta: 16:49:13, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 2.3155, loss: 2.3155 +2025-06-04 02:43:23,310 - pyskl - INFO - Epoch [91][700/2353] lr: 8.563e-03, eta: 16:48:30, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 2.2966, loss: 2.2966 +2025-06-04 02:44:06,669 - pyskl - INFO - Epoch [91][800/2353] lr: 8.553e-03, eta: 16:47:47, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 2.2251, loss: 2.2251 +2025-06-04 02:44:49,980 - pyskl - INFO - Epoch [91][900/2353] lr: 8.542e-03, eta: 16:47:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9881, loss_cls: 2.3343, loss: 2.3343 +2025-06-04 02:45:33,284 - pyskl - INFO - Epoch [91][1000/2353] lr: 8.532e-03, eta: 16:46:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9938, loss_cls: 2.3759, loss: 2.3759 +2025-06-04 02:46:16,570 - pyskl - INFO - Epoch [91][1100/2353] lr: 8.521e-03, eta: 16:45:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 2.2317, loss: 2.2317 +2025-06-04 02:46:59,945 - pyskl - INFO - Epoch [91][1200/2353] lr: 8.511e-03, eta: 16:44:56, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.3845, loss: 2.3845 +2025-06-04 02:47:43,200 - pyskl - INFO - Epoch [91][1300/2353] lr: 8.500e-03, eta: 16:44:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 2.4281, loss: 2.4281 +2025-06-04 02:48:26,586 - pyskl - INFO - Epoch [91][1400/2353] lr: 8.490e-03, eta: 16:43:30, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.3053, loss: 2.3053 +2025-06-04 02:49:10,001 - pyskl - INFO - Epoch [91][1500/2353] lr: 8.479e-03, eta: 16:42:47, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 2.3353, loss: 2.3353 +2025-06-04 02:49:53,312 - pyskl - INFO - Epoch [91][1600/2353] lr: 8.468e-03, eta: 16:42:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 2.4543, loss: 2.4543 +2025-06-04 02:50:36,643 - pyskl - INFO - Epoch [91][1700/2353] lr: 8.458e-03, eta: 16:41:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 2.3476, loss: 2.3476 +2025-06-04 02:51:20,000 - pyskl - INFO - Epoch [91][1800/2353] lr: 8.447e-03, eta: 16:40:38, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 2.3434, loss: 2.3434 +2025-06-04 02:52:03,376 - pyskl - INFO - Epoch [91][1900/2353] lr: 8.437e-03, eta: 16:39:56, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 2.4127, loss: 2.4127 +2025-06-04 02:52:46,601 - pyskl - INFO - Epoch [91][2000/2353] lr: 8.426e-03, eta: 16:39:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9950, loss_cls: 2.3440, loss: 2.3440 +2025-06-04 02:53:29,980 - pyskl - INFO - Epoch [91][2100/2353] lr: 8.416e-03, eta: 16:38:30, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 2.3697, loss: 2.3697 +2025-06-04 02:54:13,271 - pyskl - INFO - Epoch [91][2200/2353] lr: 8.405e-03, eta: 16:37:47, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9869, loss_cls: 2.3630, loss: 2.3630 +2025-06-04 02:54:56,569 - pyskl - INFO - Epoch [91][2300/2353] lr: 8.395e-03, eta: 16:37:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9894, loss_cls: 2.3995, loss: 2.3995 +2025-06-04 02:55:20,028 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-06-04 02:56:45,806 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 02:56:45,880 - pyskl - INFO - +top1_acc 0.9280 +top5_acc 0.9938 +2025-06-04 02:56:45,937 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_90.pth was removed +2025-06-04 02:56:47,023 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. +2025-06-04 02:56:47,023 - pyskl - INFO - Best top1_acc is 0.9280 at 91 epoch. +2025-06-04 02:56:47,026 - pyskl - INFO - Epoch(val) [91][1184] top1_acc: 0.9280, top5_acc: 0.9938 +2025-06-04 02:57:50,963 - pyskl - INFO - Epoch [92][100/2353] lr: 8.379e-03, eta: 16:35:57, time: 0.639, data_time: 0.206, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 2.2874, loss: 2.2874 +2025-06-04 02:58:34,316 - pyskl - INFO - Epoch [92][200/2353] lr: 8.368e-03, eta: 16:35:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 2.3312, loss: 2.3312 +2025-06-04 02:59:17,691 - pyskl - INFO - Epoch [92][300/2353] lr: 8.358e-03, eta: 16:34:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9912, loss_cls: 2.2056, loss: 2.2056 +2025-06-04 03:00:01,060 - pyskl - INFO - Epoch [92][400/2353] lr: 8.347e-03, eta: 16:33:48, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9906, loss_cls: 2.2380, loss: 2.2380 +2025-06-04 03:00:44,520 - pyskl - INFO - Epoch [92][500/2353] lr: 8.337e-03, eta: 16:33:05, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 2.4250, loss: 2.4250 +2025-06-04 03:01:27,898 - pyskl - INFO - Epoch [92][600/2353] lr: 8.326e-03, eta: 16:32:22, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 2.2494, loss: 2.2494 +2025-06-04 03:02:11,257 - pyskl - INFO - Epoch [92][700/2353] lr: 8.316e-03, eta: 16:31:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 2.3646, loss: 2.3646 +2025-06-04 03:02:54,572 - pyskl - INFO - Epoch [92][800/2353] lr: 8.305e-03, eta: 16:30:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 2.2428, loss: 2.2428 +2025-06-04 03:03:37,903 - pyskl - INFO - Epoch [92][900/2353] lr: 8.295e-03, eta: 16:30:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 2.3451, loss: 2.3451 +2025-06-04 03:04:21,268 - pyskl - INFO - Epoch [92][1000/2353] lr: 8.284e-03, eta: 16:29:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 2.3746, loss: 2.3746 +2025-06-04 03:05:04,615 - pyskl - INFO - Epoch [92][1100/2353] lr: 8.274e-03, eta: 16:28:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 2.2866, loss: 2.2866 +2025-06-04 03:05:47,983 - pyskl - INFO - Epoch [92][1200/2353] lr: 8.263e-03, eta: 16:28:05, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 2.2423, loss: 2.2423 +2025-06-04 03:06:31,322 - pyskl - INFO - Epoch [92][1300/2353] lr: 8.253e-03, eta: 16:27:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 2.2126, loss: 2.2126 +2025-06-04 03:07:14,728 - pyskl - INFO - Epoch [92][1400/2353] lr: 8.242e-03, eta: 16:26:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9894, loss_cls: 2.3377, loss: 2.3377 +2025-06-04 03:07:58,057 - pyskl - INFO - Epoch [92][1500/2353] lr: 8.232e-03, eta: 16:25:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 2.4130, loss: 2.4130 +2025-06-04 03:08:41,395 - pyskl - INFO - Epoch [92][1600/2353] lr: 8.222e-03, eta: 16:25:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 2.3000, loss: 2.3000 +2025-06-04 03:09:24,716 - pyskl - INFO - Epoch [92][1700/2353] lr: 8.211e-03, eta: 16:24:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 2.3673, loss: 2.3673 +2025-06-04 03:10:07,999 - pyskl - INFO - Epoch [92][1800/2353] lr: 8.201e-03, eta: 16:23:47, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 2.3463, loss: 2.3463 +2025-06-04 03:10:51,342 - pyskl - INFO - Epoch [92][1900/2353] lr: 8.190e-03, eta: 16:23:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 2.4094, loss: 2.4094 +2025-06-04 03:11:34,595 - pyskl - INFO - Epoch [92][2000/2353] lr: 8.180e-03, eta: 16:22:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 2.3443, loss: 2.3443 +2025-06-04 03:12:17,906 - pyskl - INFO - Epoch [92][2100/2353] lr: 8.169e-03, eta: 16:21:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 2.3657, loss: 2.3657 +2025-06-04 03:13:01,155 - pyskl - INFO - Epoch [92][2200/2353] lr: 8.159e-03, eta: 16:20:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 2.3212, loss: 2.3212 +2025-06-04 03:13:44,498 - pyskl - INFO - Epoch [92][2300/2353] lr: 8.148e-03, eta: 16:20:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 2.2382, loss: 2.2382 +2025-06-04 03:14:08,045 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-06-04 03:15:33,355 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 03:15:33,431 - pyskl - INFO - +top1_acc 0.9294 +top5_acc 0.9937 +2025-06-04 03:15:33,486 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_91.pth was removed +2025-06-04 03:15:34,564 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_92.pth. +2025-06-04 03:15:34,565 - pyskl - INFO - Best top1_acc is 0.9294 at 92 epoch. +2025-06-04 03:15:34,568 - pyskl - INFO - Epoch(val) [92][1184] top1_acc: 0.9294, top5_acc: 0.9937 +2025-06-04 03:16:38,078 - pyskl - INFO - Epoch [93][100/2353] lr: 8.133e-03, eta: 16:19:05, time: 0.635, data_time: 0.202, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 2.1782, loss: 2.1782 +2025-06-04 03:17:21,384 - pyskl - INFO - Epoch [93][200/2353] lr: 8.122e-03, eta: 16:18:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9888, loss_cls: 2.2505, loss: 2.2505 +2025-06-04 03:18:04,754 - pyskl - INFO - Epoch [93][300/2353] lr: 8.112e-03, eta: 16:17:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 2.1792, loss: 2.1792 +2025-06-04 03:18:48,560 - pyskl - INFO - Epoch [93][400/2353] lr: 8.101e-03, eta: 16:16:57, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9869, loss_cls: 2.1606, loss: 2.1606 +2025-06-04 03:19:32,187 - pyskl - INFO - Epoch [93][500/2353] lr: 8.091e-03, eta: 16:16:14, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 2.2508, loss: 2.2508 +2025-06-04 03:20:15,595 - pyskl - INFO - Epoch [93][600/2353] lr: 8.080e-03, eta: 16:15:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 2.2218, loss: 2.2218 +2025-06-04 03:20:59,038 - pyskl - INFO - Epoch [93][700/2353] lr: 8.070e-03, eta: 16:14:48, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 2.2051, loss: 2.2051 +2025-06-04 03:21:42,371 - pyskl - INFO - Epoch [93][800/2353] lr: 8.060e-03, eta: 16:14:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 2.3005, loss: 2.3005 +2025-06-04 03:22:25,671 - pyskl - INFO - Epoch [93][900/2353] lr: 8.049e-03, eta: 16:13:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 2.3058, loss: 2.3058 +2025-06-04 03:23:09,013 - pyskl - INFO - Epoch [93][1000/2353] lr: 8.039e-03, eta: 16:12:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.2733, loss: 2.2733 +2025-06-04 03:23:52,274 - pyskl - INFO - Epoch [93][1100/2353] lr: 8.028e-03, eta: 16:11:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 2.1629, loss: 2.1629 +2025-06-04 03:24:35,588 - pyskl - INFO - Epoch [93][1200/2353] lr: 8.018e-03, eta: 16:11:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 2.2359, loss: 2.2359 +2025-06-04 03:25:18,959 - pyskl - INFO - Epoch [93][1300/2353] lr: 8.008e-03, eta: 16:10:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 2.2118, loss: 2.2118 +2025-06-04 03:26:02,420 - pyskl - INFO - Epoch [93][1400/2353] lr: 7.997e-03, eta: 16:09:48, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9881, loss_cls: 2.3586, loss: 2.3586 +2025-06-04 03:26:45,961 - pyskl - INFO - Epoch [93][1500/2353] lr: 7.987e-03, eta: 16:09:05, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9969, loss_cls: 2.3029, loss: 2.3029 +2025-06-04 03:27:29,372 - pyskl - INFO - Epoch [93][1600/2353] lr: 7.977e-03, eta: 16:08:22, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 2.1808, loss: 2.1808 +2025-06-04 03:28:12,763 - pyskl - INFO - Epoch [93][1700/2353] lr: 7.966e-03, eta: 16:07:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9869, loss_cls: 2.4066, loss: 2.4066 +2025-06-04 03:28:56,255 - pyskl - INFO - Epoch [93][1800/2353] lr: 7.956e-03, eta: 16:06:57, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9850, loss_cls: 2.4106, loss: 2.4106 +2025-06-04 03:29:39,635 - pyskl - INFO - Epoch [93][1900/2353] lr: 7.945e-03, eta: 16:06:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 2.3205, loss: 2.3205 +2025-06-04 03:30:22,991 - pyskl - INFO - Epoch [93][2000/2353] lr: 7.935e-03, eta: 16:05:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 2.2625, loss: 2.2625 +2025-06-04 03:31:06,438 - pyskl - INFO - Epoch [93][2100/2353] lr: 7.925e-03, eta: 16:04:48, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 2.3069, loss: 2.3069 +2025-06-04 03:31:49,880 - pyskl - INFO - Epoch [93][2200/2353] lr: 7.914e-03, eta: 16:04:05, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 2.3332, loss: 2.3332 +2025-06-04 03:32:33,257 - pyskl - INFO - Epoch [93][2300/2353] lr: 7.904e-03, eta: 16:03:22, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 2.2525, loss: 2.2525 +2025-06-04 03:32:56,849 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-06-04 03:34:22,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 03:34:22,753 - pyskl - INFO - +top1_acc 0.9346 +top5_acc 0.9947 +2025-06-04 03:34:22,812 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_92.pth was removed +2025-06-04 03:34:23,919 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. +2025-06-04 03:34:23,920 - pyskl - INFO - Best top1_acc is 0.9346 at 93 epoch. +2025-06-04 03:34:23,923 - pyskl - INFO - Epoch(val) [93][1184] top1_acc: 0.9346, top5_acc: 0.9947 +2025-06-04 03:35:27,840 - pyskl - INFO - Epoch [94][100/2353] lr: 7.888e-03, eta: 16:02:15, time: 0.639, data_time: 0.204, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 2.1873, loss: 2.1873 +2025-06-04 03:36:11,308 - pyskl - INFO - Epoch [94][200/2353] lr: 7.878e-03, eta: 16:01:32, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 2.1670, loss: 2.1670 +2025-06-04 03:36:54,853 - pyskl - INFO - Epoch [94][300/2353] lr: 7.868e-03, eta: 16:00:49, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 2.1585, loss: 2.1585 +2025-06-04 03:37:38,356 - pyskl - INFO - Epoch [94][400/2353] lr: 7.857e-03, eta: 16:00:07, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9944, loss_cls: 2.3184, loss: 2.3184 +2025-06-04 03:38:21,773 - pyskl - INFO - Epoch [94][500/2353] lr: 7.847e-03, eta: 15:59:24, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 2.2484, loss: 2.2484 +2025-06-04 03:39:05,243 - pyskl - INFO - Epoch [94][600/2353] lr: 7.837e-03, eta: 15:58:41, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9888, loss_cls: 2.3553, loss: 2.3553 +2025-06-04 03:39:48,662 - pyskl - INFO - Epoch [94][700/2353] lr: 7.826e-03, eta: 15:57:58, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 2.3172, loss: 2.3172 +2025-06-04 03:40:31,955 - pyskl - INFO - Epoch [94][800/2353] lr: 7.816e-03, eta: 15:57:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 2.2870, loss: 2.2870 +2025-06-04 03:41:15,245 - pyskl - INFO - Epoch [94][900/2353] lr: 7.806e-03, eta: 15:56:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 2.2031, loss: 2.2031 +2025-06-04 03:41:58,608 - pyskl - INFO - Epoch [94][1000/2353] lr: 7.795e-03, eta: 15:55:49, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 2.3598, loss: 2.3598 +2025-06-04 03:42:42,127 - pyskl - INFO - Epoch [94][1100/2353] lr: 7.785e-03, eta: 15:55:06, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 2.2284, loss: 2.2284 +2025-06-04 03:43:25,506 - pyskl - INFO - Epoch [94][1200/2353] lr: 7.775e-03, eta: 15:54:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 2.1757, loss: 2.1757 +2025-06-04 03:44:08,951 - pyskl - INFO - Epoch [94][1300/2353] lr: 7.764e-03, eta: 15:53:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 2.2967, loss: 2.2967 +2025-06-04 03:44:52,332 - pyskl - INFO - Epoch [94][1400/2353] lr: 7.754e-03, eta: 15:52:58, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 2.2995, loss: 2.2995 +2025-06-04 03:45:35,614 - pyskl - INFO - Epoch [94][1500/2353] lr: 7.744e-03, eta: 15:52:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 2.3411, loss: 2.3411 +2025-06-04 03:46:18,995 - pyskl - INFO - Epoch [94][1600/2353] lr: 7.734e-03, eta: 15:51:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 2.2983, loss: 2.2983 +2025-06-04 03:47:02,337 - pyskl - INFO - Epoch [94][1700/2353] lr: 7.723e-03, eta: 15:50:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 2.2271, loss: 2.2271 +2025-06-04 03:47:45,764 - pyskl - INFO - Epoch [94][1800/2353] lr: 7.713e-03, eta: 15:50:06, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 2.4335, loss: 2.4335 +2025-06-04 03:48:29,135 - pyskl - INFO - Epoch [94][1900/2353] lr: 7.703e-03, eta: 15:49:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 2.2278, loss: 2.2278 +2025-06-04 03:49:12,455 - pyskl - INFO - Epoch [94][2000/2353] lr: 7.692e-03, eta: 15:48:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 2.2250, loss: 2.2250 +2025-06-04 03:49:55,832 - pyskl - INFO - Epoch [94][2100/2353] lr: 7.682e-03, eta: 15:47:57, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 2.2437, loss: 2.2437 +2025-06-04 03:50:39,220 - pyskl - INFO - Epoch [94][2200/2353] lr: 7.672e-03, eta: 15:47:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9931, loss_cls: 2.3445, loss: 2.3445 +2025-06-04 03:51:22,589 - pyskl - INFO - Epoch [94][2300/2353] lr: 7.662e-03, eta: 15:46:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 2.1974, loss: 2.1974 +2025-06-04 03:51:46,244 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-06-04 03:53:11,848 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 03:53:11,924 - pyskl - INFO - +top1_acc 0.9218 +top5_acc 0.9928 +2025-06-04 03:53:11,928 - pyskl - INFO - Epoch(val) [94][1184] top1_acc: 0.9218, top5_acc: 0.9928 +2025-06-04 03:54:15,626 - pyskl - INFO - Epoch [95][100/2353] lr: 7.646e-03, eta: 15:45:24, time: 0.637, data_time: 0.204, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 2.1713, loss: 2.1713 +2025-06-04 03:54:58,934 - pyskl - INFO - Epoch [95][200/2353] lr: 7.636e-03, eta: 15:44:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 2.2160, loss: 2.2160 +2025-06-04 03:55:42,554 - pyskl - INFO - Epoch [95][300/2353] lr: 7.625e-03, eta: 15:43:58, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9912, loss_cls: 2.1659, loss: 2.1659 +2025-06-04 03:56:26,006 - pyskl - INFO - Epoch [95][400/2353] lr: 7.615e-03, eta: 15:43:16, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9881, loss_cls: 2.2148, loss: 2.2148 +2025-06-04 03:57:09,503 - pyskl - INFO - Epoch [95][500/2353] lr: 7.605e-03, eta: 15:42:33, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 2.2487, loss: 2.2487 +2025-06-04 03:57:52,992 - pyskl - INFO - Epoch [95][600/2353] lr: 7.595e-03, eta: 15:41:50, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9906, loss_cls: 2.2671, loss: 2.2671 +2025-06-04 03:58:36,406 - pyskl - INFO - Epoch [95][700/2353] lr: 7.584e-03, eta: 15:41:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 2.2222, loss: 2.2222 +2025-06-04 03:59:19,807 - pyskl - INFO - Epoch [95][800/2353] lr: 7.574e-03, eta: 15:40:24, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9956, loss_cls: 2.2571, loss: 2.2571 +2025-06-04 04:00:03,196 - pyskl - INFO - Epoch [95][900/2353] lr: 7.564e-03, eta: 15:39:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 2.2555, loss: 2.2555 +2025-06-04 04:00:46,650 - pyskl - INFO - Epoch [95][1000/2353] lr: 7.554e-03, eta: 15:38:58, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 2.2278, loss: 2.2278 +2025-06-04 04:01:30,024 - pyskl - INFO - Epoch [95][1100/2353] lr: 7.544e-03, eta: 15:38:15, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9925, loss_cls: 2.4103, loss: 2.4103 +2025-06-04 04:02:13,415 - pyskl - INFO - Epoch [95][1200/2353] lr: 7.533e-03, eta: 15:37:33, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 2.2028, loss: 2.2028 +2025-06-04 04:02:56,874 - pyskl - INFO - Epoch [95][1300/2353] lr: 7.523e-03, eta: 15:36:50, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9950, loss_cls: 2.2576, loss: 2.2576 +2025-06-04 04:03:40,304 - pyskl - INFO - Epoch [95][1400/2353] lr: 7.513e-03, eta: 15:36:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9888, loss_cls: 2.2448, loss: 2.2448 +2025-06-04 04:04:24,056 - pyskl - INFO - Epoch [95][1500/2353] lr: 7.503e-03, eta: 15:35:24, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 2.2605, loss: 2.2605 +2025-06-04 04:05:07,488 - pyskl - INFO - Epoch [95][1600/2353] lr: 7.493e-03, eta: 15:34:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 2.2356, loss: 2.2356 +2025-06-04 04:05:50,928 - pyskl - INFO - Epoch [95][1700/2353] lr: 7.482e-03, eta: 15:33:58, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 2.3118, loss: 2.3118 +2025-06-04 04:06:34,296 - pyskl - INFO - Epoch [95][1800/2353] lr: 7.472e-03, eta: 15:33:15, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 2.2175, loss: 2.2175 +2025-06-04 04:07:17,605 - pyskl - INFO - Epoch [95][1900/2353] lr: 7.462e-03, eta: 15:32:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 2.2105, loss: 2.2105 +2025-06-04 04:08:00,966 - pyskl - INFO - Epoch [95][2000/2353] lr: 7.452e-03, eta: 15:31:50, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9906, loss_cls: 2.2012, loss: 2.2012 +2025-06-04 04:08:44,396 - pyskl - INFO - Epoch [95][2100/2353] lr: 7.442e-03, eta: 15:31:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 2.2154, loss: 2.2154 +2025-06-04 04:09:27,727 - pyskl - INFO - Epoch [95][2200/2353] lr: 7.431e-03, eta: 15:30:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9894, loss_cls: 2.2745, loss: 2.2745 +2025-06-04 04:10:11,036 - pyskl - INFO - Epoch [95][2300/2353] lr: 7.421e-03, eta: 15:29:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9906, loss_cls: 2.3124, loss: 2.3124 +2025-06-04 04:10:34,533 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-06-04 04:19:34,800 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 04:19:34,875 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9945 +2025-06-04 04:19:34,878 - pyskl - INFO - Epoch(val) [95][1184] top1_acc: 0.9331, top5_acc: 0.9945 +2025-06-04 04:20:38,660 - pyskl - INFO - Epoch [96][100/2353] lr: 7.406e-03, eta: 15:28:34, time: 0.638, data_time: 0.205, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 2.1424, loss: 2.1424 +2025-06-04 04:21:22,030 - pyskl - INFO - Epoch [96][200/2353] lr: 7.396e-03, eta: 15:27:51, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9919, loss_cls: 2.1981, loss: 2.1981 +2025-06-04 04:22:05,588 - pyskl - INFO - Epoch [96][300/2353] lr: 7.385e-03, eta: 15:27:08, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 2.1945, loss: 2.1945 +2025-06-04 04:22:49,142 - pyskl - INFO - Epoch [96][400/2353] lr: 7.375e-03, eta: 15:26:25, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 2.2376, loss: 2.2376 +2025-06-04 04:23:32,559 - pyskl - INFO - Epoch [96][500/2353] lr: 7.365e-03, eta: 15:25:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 2.1034, loss: 2.1034 +2025-06-04 04:24:16,040 - pyskl - INFO - Epoch [96][600/2353] lr: 7.355e-03, eta: 15:24:59, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 2.2112, loss: 2.2112 +2025-06-04 04:24:59,403 - pyskl - INFO - Epoch [96][700/2353] lr: 7.345e-03, eta: 15:24:16, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 2.3091, loss: 2.3091 +2025-06-04 04:25:42,788 - pyskl - INFO - Epoch [96][800/2353] lr: 7.335e-03, eta: 15:23:33, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9875, loss_cls: 2.2895, loss: 2.2895 +2025-06-04 04:26:26,177 - pyskl - INFO - Epoch [96][900/2353] lr: 7.325e-03, eta: 15:22:51, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9962, loss_cls: 2.2545, loss: 2.2545 +2025-06-04 04:27:09,358 - pyskl - INFO - Epoch [96][1000/2353] lr: 7.314e-03, eta: 15:22:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 2.2330, loss: 2.2330 +2025-06-04 04:27:52,680 - pyskl - INFO - Epoch [96][1100/2353] lr: 7.304e-03, eta: 15:21:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 2.2382, loss: 2.2382 +2025-06-04 04:28:35,952 - pyskl - INFO - Epoch [96][1200/2353] lr: 7.294e-03, eta: 15:20:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9906, loss_cls: 2.1621, loss: 2.1621 +2025-06-04 04:29:19,396 - pyskl - INFO - Epoch [96][1300/2353] lr: 7.284e-03, eta: 15:19:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 2.1949, loss: 2.1949 +2025-06-04 04:30:02,892 - pyskl - INFO - Epoch [96][1400/2353] lr: 7.274e-03, eta: 15:19:16, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 2.1943, loss: 2.1943 +2025-06-04 04:30:46,337 - pyskl - INFO - Epoch [96][1500/2353] lr: 7.264e-03, eta: 15:18:33, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 2.2731, loss: 2.2731 +2025-06-04 04:31:29,626 - pyskl - INFO - Epoch [96][1600/2353] lr: 7.254e-03, eta: 15:17:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 2.2891, loss: 2.2891 +2025-06-04 04:32:13,070 - pyskl - INFO - Epoch [96][1700/2353] lr: 7.244e-03, eta: 15:17:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 2.2549, loss: 2.2549 +2025-06-04 04:32:56,523 - pyskl - INFO - Epoch [96][1800/2353] lr: 7.234e-03, eta: 15:16:24, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 2.2802, loss: 2.2802 +2025-06-04 04:33:39,927 - pyskl - INFO - Epoch [96][1900/2353] lr: 7.224e-03, eta: 15:15:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9950, loss_cls: 2.1198, loss: 2.1198 +2025-06-04 04:34:23,428 - pyskl - INFO - Epoch [96][2000/2353] lr: 7.213e-03, eta: 15:14:58, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9900, loss_cls: 2.3436, loss: 2.3436 +2025-06-04 04:35:06,518 - pyskl - INFO - Epoch [96][2100/2353] lr: 7.203e-03, eta: 15:14:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 2.1787, loss: 2.1787 +2025-06-04 04:35:49,816 - pyskl - INFO - Epoch [96][2200/2353] lr: 7.193e-03, eta: 15:13:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 2.2108, loss: 2.2108 +2025-06-04 04:36:33,108 - pyskl - INFO - Epoch [96][2300/2353] lr: 7.183e-03, eta: 15:12:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 2.3190, loss: 2.3190 +2025-06-04 04:36:56,830 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-06-04 04:38:22,553 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 04:38:22,629 - pyskl - INFO - +top1_acc 0.9311 +top5_acc 0.9941 +2025-06-04 04:38:22,632 - pyskl - INFO - Epoch(val) [96][1184] top1_acc: 0.9311, top5_acc: 0.9941 +2025-06-04 04:39:26,623 - pyskl - INFO - Epoch [97][100/2353] lr: 7.168e-03, eta: 15:11:42, time: 0.640, data_time: 0.206, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 2.1645, loss: 2.1645 +2025-06-04 04:40:10,047 - pyskl - INFO - Epoch [97][200/2353] lr: 7.158e-03, eta: 15:11:00, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 2.1971, loss: 2.1971 +2025-06-04 04:40:53,524 - pyskl - INFO - Epoch [97][300/2353] lr: 7.148e-03, eta: 15:10:17, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 2.1611, loss: 2.1611 +2025-06-04 04:41:36,896 - pyskl - INFO - Epoch [97][400/2353] lr: 7.138e-03, eta: 15:09:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 2.2012, loss: 2.2012 +2025-06-04 04:42:20,285 - pyskl - INFO - Epoch [97][500/2353] lr: 7.128e-03, eta: 15:08:51, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 2.2308, loss: 2.2308 +2025-06-04 04:43:03,566 - pyskl - INFO - Epoch [97][600/2353] lr: 7.118e-03, eta: 15:08:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 2.1476, loss: 2.1476 +2025-06-04 04:43:46,823 - pyskl - INFO - Epoch [97][700/2353] lr: 7.107e-03, eta: 15:07:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 2.2526, loss: 2.2526 +2025-06-04 04:44:30,102 - pyskl - INFO - Epoch [97][800/2353] lr: 7.097e-03, eta: 15:06:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 2.2340, loss: 2.2340 +2025-06-04 04:45:13,488 - pyskl - INFO - Epoch [97][900/2353] lr: 7.087e-03, eta: 15:05:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 2.2575, loss: 2.2575 +2025-06-04 04:45:56,735 - pyskl - INFO - Epoch [97][1000/2353] lr: 7.077e-03, eta: 15:05:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 2.2481, loss: 2.2481 +2025-06-04 04:46:40,014 - pyskl - INFO - Epoch [97][1100/2353] lr: 7.067e-03, eta: 15:04:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 2.2317, loss: 2.2317 +2025-06-04 04:47:23,319 - pyskl - INFO - Epoch [97][1200/2353] lr: 7.057e-03, eta: 15:03:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 2.2075, loss: 2.2075 +2025-06-04 04:48:06,673 - pyskl - INFO - Epoch [97][1300/2353] lr: 7.047e-03, eta: 15:03:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 2.1987, loss: 2.1987 +2025-06-04 04:48:50,051 - pyskl - INFO - Epoch [97][1400/2353] lr: 7.037e-03, eta: 15:02:24, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 2.2640, loss: 2.2640 +2025-06-04 04:49:33,475 - pyskl - INFO - Epoch [97][1500/2353] lr: 7.027e-03, eta: 15:01:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9881, loss_cls: 2.2358, loss: 2.2358 +2025-06-04 04:50:16,980 - pyskl - INFO - Epoch [97][1600/2353] lr: 7.017e-03, eta: 15:00:58, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 2.2654, loss: 2.2654 +2025-06-04 04:51:00,469 - pyskl - INFO - Epoch [97][1700/2353] lr: 7.007e-03, eta: 15:00:16, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9888, loss_cls: 2.2536, loss: 2.2536 +2025-06-04 04:51:43,924 - pyskl - INFO - Epoch [97][1800/2353] lr: 6.997e-03, eta: 14:59:33, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 2.2629, loss: 2.2629 +2025-06-04 04:52:27,405 - pyskl - INFO - Epoch [97][1900/2353] lr: 6.987e-03, eta: 14:58:50, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 2.1917, loss: 2.1917 +2025-06-04 04:53:10,841 - pyskl - INFO - Epoch [97][2000/2353] lr: 6.977e-03, eta: 14:58:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 2.2157, loss: 2.2157 +2025-06-04 04:53:54,211 - pyskl - INFO - Epoch [97][2100/2353] lr: 6.967e-03, eta: 14:57:24, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9900, loss_cls: 2.2677, loss: 2.2677 +2025-06-04 04:54:37,782 - pyskl - INFO - Epoch [97][2200/2353] lr: 6.957e-03, eta: 14:56:41, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9869, loss_cls: 2.3168, loss: 2.3168 +2025-06-04 04:55:21,422 - pyskl - INFO - Epoch [97][2300/2353] lr: 6.947e-03, eta: 14:55:58, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 2.2604, loss: 2.2604 +2025-06-04 04:55:45,098 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-06-04 04:57:10,409 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 04:57:10,484 - pyskl - INFO - +top1_acc 0.9317 +top5_acc 0.9945 +2025-06-04 04:57:10,487 - pyskl - INFO - Epoch(val) [97][1184] top1_acc: 0.9317, top5_acc: 0.9945 +2025-06-04 04:58:14,448 - pyskl - INFO - Epoch [98][100/2353] lr: 6.932e-03, eta: 14:54:51, time: 0.640, data_time: 0.204, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 2.1440, loss: 2.1440 +2025-06-04 04:58:58,031 - pyskl - INFO - Epoch [98][200/2353] lr: 6.922e-03, eta: 14:54:09, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 2.1562, loss: 2.1562 +2025-06-04 04:59:41,479 - pyskl - INFO - Epoch [98][300/2353] lr: 6.912e-03, eta: 14:53:26, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9894, loss_cls: 2.1065, loss: 2.1065 +2025-06-04 05:00:24,966 - pyskl - INFO - Epoch [98][400/2353] lr: 6.902e-03, eta: 14:52:43, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 2.1789, loss: 2.1789 +2025-06-04 05:01:08,359 - pyskl - INFO - Epoch [98][500/2353] lr: 6.892e-03, eta: 14:52:00, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 2.1722, loss: 2.1722 +2025-06-04 05:01:51,621 - pyskl - INFO - Epoch [98][600/2353] lr: 6.882e-03, eta: 14:51:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 2.1728, loss: 2.1728 +2025-06-04 05:02:34,928 - pyskl - INFO - Epoch [98][700/2353] lr: 6.873e-03, eta: 14:50:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 2.1984, loss: 2.1984 +2025-06-04 05:03:18,122 - pyskl - INFO - Epoch [98][800/2353] lr: 6.863e-03, eta: 14:49:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 2.0876, loss: 2.0876 +2025-06-04 05:04:01,569 - pyskl - INFO - Epoch [98][900/2353] lr: 6.853e-03, eta: 14:49:08, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 2.1162, loss: 2.1162 +2025-06-04 05:04:44,991 - pyskl - INFO - Epoch [98][1000/2353] lr: 6.843e-03, eta: 14:48:25, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 2.1860, loss: 2.1860 +2025-06-04 05:05:28,419 - pyskl - INFO - Epoch [98][1100/2353] lr: 6.833e-03, eta: 14:47:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 2.2395, loss: 2.2395 +2025-06-04 05:06:11,988 - pyskl - INFO - Epoch [98][1200/2353] lr: 6.823e-03, eta: 14:46:59, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9912, loss_cls: 2.2489, loss: 2.2489 +2025-06-04 05:06:55,477 - pyskl - INFO - Epoch [98][1300/2353] lr: 6.813e-03, eta: 14:46:16, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 2.1875, loss: 2.1875 +2025-06-04 05:07:38,931 - pyskl - INFO - Epoch [98][1400/2353] lr: 6.803e-03, eta: 14:45:34, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 2.2440, loss: 2.2440 +2025-06-04 05:08:22,386 - pyskl - INFO - Epoch [98][1500/2353] lr: 6.793e-03, eta: 14:44:51, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 2.2603, loss: 2.2603 +2025-06-04 05:09:05,828 - pyskl - INFO - Epoch [98][1600/2353] lr: 6.783e-03, eta: 14:44:08, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9919, loss_cls: 2.1690, loss: 2.1690 +2025-06-04 05:09:49,291 - pyskl - INFO - Epoch [98][1700/2353] lr: 6.773e-03, eta: 14:43:25, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 2.2837, loss: 2.2837 +2025-06-04 05:10:32,695 - pyskl - INFO - Epoch [98][1800/2353] lr: 6.763e-03, eta: 14:42:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 2.2531, loss: 2.2531 +2025-06-04 05:11:16,164 - pyskl - INFO - Epoch [98][1900/2353] lr: 6.754e-03, eta: 14:41:59, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 2.1773, loss: 2.1773 +2025-06-04 05:11:59,644 - pyskl - INFO - Epoch [98][2000/2353] lr: 6.744e-03, eta: 14:41:16, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 2.2358, loss: 2.2358 +2025-06-04 05:12:43,091 - pyskl - INFO - Epoch [98][2100/2353] lr: 6.734e-03, eta: 14:40:33, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 2.2691, loss: 2.2691 +2025-06-04 05:13:26,558 - pyskl - INFO - Epoch [98][2200/2353] lr: 6.724e-03, eta: 14:39:50, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9894, loss_cls: 2.3107, loss: 2.3107 +2025-06-04 05:14:09,984 - pyskl - INFO - Epoch [98][2300/2353] lr: 6.714e-03, eta: 14:39:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9888, loss_cls: 2.2071, loss: 2.2071 +2025-06-04 05:14:33,572 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-06-04 05:15:59,413 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 05:15:59,488 - pyskl - INFO - +top1_acc 0.9337 +top5_acc 0.9948 +2025-06-04 05:15:59,491 - pyskl - INFO - Epoch(val) [98][1184] top1_acc: 0.9337, top5_acc: 0.9948 +2025-06-04 05:17:03,450 - pyskl - INFO - Epoch [99][100/2353] lr: 6.699e-03, eta: 14:38:00, time: 0.640, data_time: 0.208, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 2.1346, loss: 2.1346 +2025-06-04 05:17:47,177 - pyskl - INFO - Epoch [99][200/2353] lr: 6.689e-03, eta: 14:37:18, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 2.1873, loss: 2.1873 +2025-06-04 05:18:30,523 - pyskl - INFO - Epoch [99][300/2353] lr: 6.679e-03, eta: 14:36:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 2.2129, loss: 2.2129 +2025-06-04 05:19:13,921 - pyskl - INFO - Epoch [99][400/2353] lr: 6.669e-03, eta: 14:35:52, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 2.1492, loss: 2.1492 +2025-06-04 05:19:57,285 - pyskl - INFO - Epoch [99][500/2353] lr: 6.660e-03, eta: 14:35:09, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 2.1234, loss: 2.1234 +2025-06-04 05:20:40,640 - pyskl - INFO - Epoch [99][600/2353] lr: 6.650e-03, eta: 14:34:26, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 2.1811, loss: 2.1811 +2025-06-04 05:21:24,106 - pyskl - INFO - Epoch [99][700/2353] lr: 6.640e-03, eta: 14:33:43, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 2.1891, loss: 2.1891 +2025-06-04 05:22:07,471 - pyskl - INFO - Epoch [99][800/2353] lr: 6.630e-03, eta: 14:33:00, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9919, loss_cls: 2.1471, loss: 2.1471 +2025-06-04 05:22:51,087 - pyskl - INFO - Epoch [99][900/2353] lr: 6.620e-03, eta: 14:32:17, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 2.0569, loss: 2.0569 +2025-06-04 05:23:34,673 - pyskl - INFO - Epoch [99][1000/2353] lr: 6.611e-03, eta: 14:31:34, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 2.1230, loss: 2.1230 +2025-06-04 05:24:18,001 - pyskl - INFO - Epoch [99][1100/2353] lr: 6.601e-03, eta: 14:30:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 2.1568, loss: 2.1568 +2025-06-04 05:25:01,463 - pyskl - INFO - Epoch [99][1200/2353] lr: 6.591e-03, eta: 14:30:09, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 2.2216, loss: 2.2216 +2025-06-04 05:25:44,823 - pyskl - INFO - Epoch [99][1300/2353] lr: 6.581e-03, eta: 14:29:26, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9869, loss_cls: 2.3140, loss: 2.3140 +2025-06-04 05:26:28,260 - pyskl - INFO - Epoch [99][1400/2353] lr: 6.571e-03, eta: 14:28:43, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9969, loss_cls: 2.1514, loss: 2.1514 +2025-06-04 05:27:11,769 - pyskl - INFO - Epoch [99][1500/2353] lr: 6.562e-03, eta: 14:28:00, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 2.0819, loss: 2.0819 +2025-06-04 05:27:55,142 - pyskl - INFO - Epoch [99][1600/2353] lr: 6.552e-03, eta: 14:27:17, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 2.1494, loss: 2.1494 +2025-06-04 05:28:38,560 - pyskl - INFO - Epoch [99][1700/2353] lr: 6.542e-03, eta: 14:26:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 2.1333, loss: 2.1333 +2025-06-04 05:29:21,932 - pyskl - INFO - Epoch [99][1800/2353] lr: 6.532e-03, eta: 14:25:51, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9894, loss_cls: 2.1593, loss: 2.1593 +2025-06-04 05:30:05,279 - pyskl - INFO - Epoch [99][1900/2353] lr: 6.522e-03, eta: 14:25:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 2.1856, loss: 2.1856 +2025-06-04 05:30:48,576 - pyskl - INFO - Epoch [99][2000/2353] lr: 6.513e-03, eta: 14:24:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 2.2557, loss: 2.2557 +2025-06-04 05:31:31,964 - pyskl - INFO - Epoch [99][2100/2353] lr: 6.503e-03, eta: 14:23:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 2.2565, loss: 2.2565 +2025-06-04 05:32:15,336 - pyskl - INFO - Epoch [99][2200/2353] lr: 6.493e-03, eta: 14:22:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 2.2689, loss: 2.2689 +2025-06-04 05:32:58,737 - pyskl - INFO - Epoch [99][2300/2353] lr: 6.483e-03, eta: 14:22:16, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9931, loss_cls: 2.2269, loss: 2.2269 +2025-06-04 05:33:22,272 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-06-04 05:34:48,034 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 05:34:48,110 - pyskl - INFO - +top1_acc 0.9318 +top5_acc 0.9943 +2025-06-04 05:34:48,114 - pyskl - INFO - Epoch(val) [99][1184] top1_acc: 0.9318, top5_acc: 0.9943 +2025-06-04 05:35:51,867 - pyskl - INFO - Epoch [100][100/2353] lr: 6.468e-03, eta: 14:21:09, time: 0.637, data_time: 0.205, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 2.1351, loss: 2.1351 +2025-06-04 05:36:35,215 - pyskl - INFO - Epoch [100][200/2353] lr: 6.459e-03, eta: 14:20:26, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9938, loss_cls: 2.0598, loss: 2.0598 +2025-06-04 05:37:18,605 - pyskl - INFO - Epoch [100][300/2353] lr: 6.449e-03, eta: 14:19:43, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 2.1571, loss: 2.1571 +2025-06-04 05:38:02,002 - pyskl - INFO - Epoch [100][400/2353] lr: 6.439e-03, eta: 14:19:00, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9925, loss_cls: 2.0973, loss: 2.0973 +2025-06-04 05:38:45,407 - pyskl - INFO - Epoch [100][500/2353] lr: 6.429e-03, eta: 14:18:17, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 2.0375, loss: 2.0375 +2025-06-04 05:39:28,709 - pyskl - INFO - Epoch [100][600/2353] lr: 6.420e-03, eta: 14:17:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9962, loss_cls: 2.1925, loss: 2.1925 +2025-06-04 05:40:12,144 - pyskl - INFO - Epoch [100][700/2353] lr: 6.410e-03, eta: 14:16:51, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 2.1103, loss: 2.1103 +2025-06-04 05:40:55,555 - pyskl - INFO - Epoch [100][800/2353] lr: 6.400e-03, eta: 14:16:09, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 2.1585, loss: 2.1585 +2025-06-04 05:41:39,033 - pyskl - INFO - Epoch [100][900/2353] lr: 6.391e-03, eta: 14:15:26, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 2.0738, loss: 2.0738 +2025-06-04 05:42:22,397 - pyskl - INFO - Epoch [100][1000/2353] lr: 6.381e-03, eta: 14:14:43, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9919, loss_cls: 2.1485, loss: 2.1485 +2025-06-04 05:43:05,783 - pyskl - INFO - Epoch [100][1100/2353] lr: 6.371e-03, eta: 14:14:00, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 2.0862, loss: 2.0862 +2025-06-04 05:43:49,159 - pyskl - INFO - Epoch [100][1200/2353] lr: 6.362e-03, eta: 14:13:17, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 2.0857, loss: 2.0857 +2025-06-04 05:44:32,570 - pyskl - INFO - Epoch [100][1300/2353] lr: 6.352e-03, eta: 14:12:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 2.1992, loss: 2.1992 +2025-06-04 05:45:16,140 - pyskl - INFO - Epoch [100][1400/2353] lr: 6.342e-03, eta: 14:11:51, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 2.2091, loss: 2.2091 +2025-06-04 05:45:59,637 - pyskl - INFO - Epoch [100][1500/2353] lr: 6.332e-03, eta: 14:11:08, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 2.2204, loss: 2.2204 +2025-06-04 05:46:43,084 - pyskl - INFO - Epoch [100][1600/2353] lr: 6.323e-03, eta: 14:10:25, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 2.1391, loss: 2.1391 +2025-06-04 05:47:26,432 - pyskl - INFO - Epoch [100][1700/2353] lr: 6.313e-03, eta: 14:09:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 2.2055, loss: 2.2055 +2025-06-04 05:48:09,783 - pyskl - INFO - Epoch [100][1800/2353] lr: 6.303e-03, eta: 14:08:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9969, loss_cls: 2.1634, loss: 2.1634 +2025-06-04 05:48:53,009 - pyskl - INFO - Epoch [100][1900/2353] lr: 6.294e-03, eta: 14:08:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9912, loss_cls: 2.2180, loss: 2.2180 +2025-06-04 05:49:36,322 - pyskl - INFO - Epoch [100][2000/2353] lr: 6.284e-03, eta: 14:07:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 2.2124, loss: 2.2124 +2025-06-04 05:50:19,544 - pyskl - INFO - Epoch [100][2100/2353] lr: 6.274e-03, eta: 14:06:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 2.1783, loss: 2.1783 +2025-06-04 05:51:02,792 - pyskl - INFO - Epoch [100][2200/2353] lr: 6.265e-03, eta: 14:06:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 2.2159, loss: 2.2159 +2025-06-04 05:51:46,062 - pyskl - INFO - Epoch [100][2300/2353] lr: 6.255e-03, eta: 14:05:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9900, loss_cls: 2.1967, loss: 2.1967 +2025-06-04 05:52:09,507 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-06-04 06:01:10,646 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 06:01:10,720 - pyskl - INFO - +top1_acc 0.9264 +top5_acc 0.9940 +2025-06-04 06:01:10,724 - pyskl - INFO - Epoch(val) [100][1184] top1_acc: 0.9264, top5_acc: 0.9940 +2025-06-04 06:02:15,225 - pyskl - INFO - Epoch [101][100/2353] lr: 6.240e-03, eta: 14:04:18, time: 0.645, data_time: 0.211, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 2.1187, loss: 2.1187 +2025-06-04 06:02:58,346 - pyskl - INFO - Epoch [101][200/2353] lr: 6.231e-03, eta: 14:03:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 2.1144, loss: 2.1144 +2025-06-04 06:03:41,489 - pyskl - INFO - Epoch [101][300/2353] lr: 6.221e-03, eta: 14:02:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9925, loss_cls: 2.0452, loss: 2.0452 +2025-06-04 06:04:24,627 - pyskl - INFO - Epoch [101][400/2353] lr: 6.212e-03, eta: 14:02:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 2.0284, loss: 2.0284 +2025-06-04 06:05:07,874 - pyskl - INFO - Epoch [101][500/2353] lr: 6.202e-03, eta: 14:01:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 2.0936, loss: 2.0936 +2025-06-04 06:05:51,227 - pyskl - INFO - Epoch [101][600/2353] lr: 6.192e-03, eta: 14:00:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 2.1436, loss: 2.1436 +2025-06-04 06:06:34,645 - pyskl - INFO - Epoch [101][700/2353] lr: 6.183e-03, eta: 13:59:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 2.1857, loss: 2.1857 +2025-06-04 06:07:18,002 - pyskl - INFO - Epoch [101][800/2353] lr: 6.173e-03, eta: 13:59:16, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9906, loss_cls: 2.1751, loss: 2.1751 +2025-06-04 06:08:01,311 - pyskl - INFO - Epoch [101][900/2353] lr: 6.164e-03, eta: 13:58:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9925, loss_cls: 2.1078, loss: 2.1078 +2025-06-04 06:08:44,619 - pyskl - INFO - Epoch [101][1000/2353] lr: 6.154e-03, eta: 13:57:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 1.9740, loss: 1.9740 +2025-06-04 06:09:27,975 - pyskl - INFO - Epoch [101][1100/2353] lr: 6.144e-03, eta: 13:57:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 2.1516, loss: 2.1516 +2025-06-04 06:10:11,252 - pyskl - INFO - Epoch [101][1200/2353] lr: 6.135e-03, eta: 13:56:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9925, loss_cls: 2.1544, loss: 2.1544 +2025-06-04 06:10:54,637 - pyskl - INFO - Epoch [101][1300/2353] lr: 6.125e-03, eta: 13:55:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 2.1381, loss: 2.1381 +2025-06-04 06:11:38,043 - pyskl - INFO - Epoch [101][1400/2353] lr: 6.116e-03, eta: 13:54:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 2.1025, loss: 2.1025 +2025-06-04 06:12:21,395 - pyskl - INFO - Epoch [101][1500/2353] lr: 6.106e-03, eta: 13:54:16, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9906, loss_cls: 2.1049, loss: 2.1049 +2025-06-04 06:13:04,856 - pyskl - INFO - Epoch [101][1600/2353] lr: 6.097e-03, eta: 13:53:33, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 2.1799, loss: 2.1799 +2025-06-04 06:13:48,279 - pyskl - INFO - Epoch [101][1700/2353] lr: 6.087e-03, eta: 13:52:50, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 2.0873, loss: 2.0873 +2025-06-04 06:14:31,716 - pyskl - INFO - Epoch [101][1800/2353] lr: 6.077e-03, eta: 13:52:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 2.1397, loss: 2.1397 +2025-06-04 06:15:15,093 - pyskl - INFO - Epoch [101][1900/2353] lr: 6.068e-03, eta: 13:51:24, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 2.1601, loss: 2.1601 +2025-06-04 06:15:58,455 - pyskl - INFO - Epoch [101][2000/2353] lr: 6.058e-03, eta: 13:50:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 2.2611, loss: 2.2611 +2025-06-04 06:16:41,795 - pyskl - INFO - Epoch [101][2100/2353] lr: 6.049e-03, eta: 13:49:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 2.0722, loss: 2.0722 +2025-06-04 06:17:25,115 - pyskl - INFO - Epoch [101][2200/2353] lr: 6.039e-03, eta: 13:49:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9906, loss_cls: 2.2363, loss: 2.2363 +2025-06-04 06:18:08,549 - pyskl - INFO - Epoch [101][2300/2353] lr: 6.030e-03, eta: 13:48:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 2.0832, loss: 2.0832 +2025-06-04 06:18:32,267 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-06-04 06:19:57,875 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 06:19:57,950 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9941 +2025-06-04 06:19:57,953 - pyskl - INFO - Epoch(val) [101][1184] top1_acc: 0.9312, top5_acc: 0.9941 +2025-06-04 06:21:01,711 - pyskl - INFO - Epoch [102][100/2353] lr: 6.015e-03, eta: 13:47:25, time: 0.638, data_time: 0.202, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 2.1358, loss: 2.1358 +2025-06-04 06:21:45,131 - pyskl - INFO - Epoch [102][200/2353] lr: 6.006e-03, eta: 13:46:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 2.2068, loss: 2.2068 +2025-06-04 06:22:28,781 - pyskl - INFO - Epoch [102][300/2353] lr: 5.996e-03, eta: 13:45:59, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 2.0605, loss: 2.0605 +2025-06-04 06:23:12,190 - pyskl - INFO - Epoch [102][400/2353] lr: 5.987e-03, eta: 13:45:16, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 2.1055, loss: 2.1055 +2025-06-04 06:23:55,553 - pyskl - INFO - Epoch [102][500/2353] lr: 5.977e-03, eta: 13:44:33, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 2.1003, loss: 2.1003 +2025-06-04 06:24:38,960 - pyskl - INFO - Epoch [102][600/2353] lr: 5.968e-03, eta: 13:43:50, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 2.1605, loss: 2.1605 +2025-06-04 06:25:22,343 - pyskl - INFO - Epoch [102][700/2353] lr: 5.958e-03, eta: 13:43:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 2.0738, loss: 2.0738 +2025-06-04 06:26:05,726 - pyskl - INFO - Epoch [102][800/2353] lr: 5.949e-03, eta: 13:42:24, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 2.1573, loss: 2.1573 +2025-06-04 06:26:49,127 - pyskl - INFO - Epoch [102][900/2353] lr: 5.939e-03, eta: 13:41:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9906, loss_cls: 2.1276, loss: 2.1276 +2025-06-04 06:27:32,520 - pyskl - INFO - Epoch [102][1000/2353] lr: 5.930e-03, eta: 13:40:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9919, loss_cls: 2.0626, loss: 2.0626 +2025-06-04 06:28:15,947 - pyskl - INFO - Epoch [102][1100/2353] lr: 5.920e-03, eta: 13:40:16, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9906, loss_cls: 2.1305, loss: 2.1305 +2025-06-04 06:28:59,272 - pyskl - INFO - Epoch [102][1200/2353] lr: 5.911e-03, eta: 13:39:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 2.1175, loss: 2.1175 +2025-06-04 06:29:42,694 - pyskl - INFO - Epoch [102][1300/2353] lr: 5.901e-03, eta: 13:38:50, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 2.0702, loss: 2.0702 +2025-06-04 06:30:26,094 - pyskl - INFO - Epoch [102][1400/2353] lr: 5.892e-03, eta: 13:38:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 2.0573, loss: 2.0573 +2025-06-04 06:31:09,546 - pyskl - INFO - Epoch [102][1500/2353] lr: 5.883e-03, eta: 13:37:24, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 2.1287, loss: 2.1287 +2025-06-04 06:31:52,991 - pyskl - INFO - Epoch [102][1600/2353] lr: 5.873e-03, eta: 13:36:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 2.0885, loss: 2.0885 +2025-06-04 06:32:36,428 - pyskl - INFO - Epoch [102][1700/2353] lr: 5.864e-03, eta: 13:35:58, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 2.1532, loss: 2.1532 +2025-06-04 06:33:19,842 - pyskl - INFO - Epoch [102][1800/2353] lr: 5.854e-03, eta: 13:35:15, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 2.1591, loss: 2.1591 +2025-06-04 06:34:03,204 - pyskl - INFO - Epoch [102][1900/2353] lr: 5.845e-03, eta: 13:34:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 2.1028, loss: 2.1028 +2025-06-04 06:34:46,614 - pyskl - INFO - Epoch [102][2000/2353] lr: 5.835e-03, eta: 13:33:49, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 2.1851, loss: 2.1851 +2025-06-04 06:35:30,056 - pyskl - INFO - Epoch [102][2100/2353] lr: 5.826e-03, eta: 13:33:06, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9925, loss_cls: 2.0904, loss: 2.0904 +2025-06-04 06:36:13,481 - pyskl - INFO - Epoch [102][2200/2353] lr: 5.817e-03, eta: 13:32:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 2.0361, loss: 2.0361 +2025-06-04 06:36:56,866 - pyskl - INFO - Epoch [102][2300/2353] lr: 5.807e-03, eta: 13:31:40, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 2.1854, loss: 2.1854 +2025-06-04 06:37:20,537 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-06-04 06:38:45,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 06:38:45,679 - pyskl - INFO - +top1_acc 0.9385 +top5_acc 0.9942 +2025-06-04 06:38:45,731 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_93.pth was removed +2025-06-04 06:38:46,760 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth. +2025-06-04 06:38:46,760 - pyskl - INFO - Best top1_acc is 0.9385 at 102 epoch. +2025-06-04 06:38:46,763 - pyskl - INFO - Epoch(val) [102][1184] top1_acc: 0.9385, top5_acc: 0.9942 +2025-06-04 06:39:50,036 - pyskl - INFO - Epoch [103][100/2353] lr: 5.793e-03, eta: 13:30:33, time: 0.633, data_time: 0.201, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 2.1207, loss: 2.1207 +2025-06-04 06:40:33,461 - pyskl - INFO - Epoch [103][200/2353] lr: 5.783e-03, eta: 13:29:50, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 2.0411, loss: 2.0411 +2025-06-04 06:41:16,879 - pyskl - INFO - Epoch [103][300/2353] lr: 5.774e-03, eta: 13:29:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 2.0775, loss: 2.0775 +2025-06-04 06:42:00,230 - pyskl - INFO - Epoch [103][400/2353] lr: 5.765e-03, eta: 13:28:24, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 2.0409, loss: 2.0409 +2025-06-04 06:42:43,546 - pyskl - INFO - Epoch [103][500/2353] lr: 5.755e-03, eta: 13:27:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9944, loss_cls: 2.0964, loss: 2.0964 +2025-06-04 06:43:26,965 - pyskl - INFO - Epoch [103][600/2353] lr: 5.746e-03, eta: 13:26:58, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 2.1033, loss: 2.1033 +2025-06-04 06:44:10,263 - pyskl - INFO - Epoch [103][700/2353] lr: 5.737e-03, eta: 13:26:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 2.0756, loss: 2.0756 +2025-06-04 06:44:53,584 - pyskl - INFO - Epoch [103][800/2353] lr: 5.727e-03, eta: 13:25:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 2.1095, loss: 2.1095 +2025-06-04 06:45:37,101 - pyskl - INFO - Epoch [103][900/2353] lr: 5.718e-03, eta: 13:24:49, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 2.1039, loss: 2.1039 +2025-06-04 06:46:20,701 - pyskl - INFO - Epoch [103][1000/2353] lr: 5.709e-03, eta: 13:24:06, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9969, loss_cls: 2.2239, loss: 2.2239 +2025-06-04 06:47:04,329 - pyskl - INFO - Epoch [103][1100/2353] lr: 5.699e-03, eta: 13:23:24, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 2.1203, loss: 2.1203 +2025-06-04 06:47:47,748 - pyskl - INFO - Epoch [103][1200/2353] lr: 5.690e-03, eta: 13:22:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 2.1399, loss: 2.1399 +2025-06-04 06:48:31,158 - pyskl - INFO - Epoch [103][1300/2353] lr: 5.681e-03, eta: 13:21:58, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 2.1473, loss: 2.1473 +2025-06-04 06:49:14,592 - pyskl - INFO - Epoch [103][1400/2353] lr: 5.671e-03, eta: 13:21:15, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 2.1015, loss: 2.1015 +2025-06-04 06:49:58,034 - pyskl - INFO - Epoch [103][1500/2353] lr: 5.662e-03, eta: 13:20:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9919, loss_cls: 2.0361, loss: 2.0361 +2025-06-04 06:50:41,435 - pyskl - INFO - Epoch [103][1600/2353] lr: 5.653e-03, eta: 13:19:49, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 2.1202, loss: 2.1202 +2025-06-04 06:51:24,876 - pyskl - INFO - Epoch [103][1700/2353] lr: 5.643e-03, eta: 13:19:06, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 2.1753, loss: 2.1753 +2025-06-04 06:52:08,239 - pyskl - INFO - Epoch [103][1800/2353] lr: 5.634e-03, eta: 13:18:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 2.0899, loss: 2.0899 +2025-06-04 06:52:51,600 - pyskl - INFO - Epoch [103][1900/2353] lr: 5.625e-03, eta: 13:17:40, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 2.1445, loss: 2.1445 +2025-06-04 06:53:34,922 - pyskl - INFO - Epoch [103][2000/2353] lr: 5.615e-03, eta: 13:16:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9925, loss_cls: 2.0848, loss: 2.0848 +2025-06-04 06:54:18,305 - pyskl - INFO - Epoch [103][2100/2353] lr: 5.606e-03, eta: 13:16:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 2.1178, loss: 2.1178 +2025-06-04 06:55:01,640 - pyskl - INFO - Epoch [103][2200/2353] lr: 5.597e-03, eta: 13:15:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9912, loss_cls: 2.1304, loss: 2.1304 +2025-06-04 06:55:45,135 - pyskl - INFO - Epoch [103][2300/2353] lr: 5.588e-03, eta: 13:14:48, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9931, loss_cls: 2.0366, loss: 2.0366 +2025-06-04 06:56:08,691 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-06-04 06:57:34,118 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 06:57:34,196 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9946 +2025-06-04 06:57:34,249 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_102.pth was removed +2025-06-04 06:57:35,324 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_103.pth. +2025-06-04 06:57:35,325 - pyskl - INFO - Best top1_acc is 0.9405 at 103 epoch. +2025-06-04 06:57:35,328 - pyskl - INFO - Epoch(val) [103][1184] top1_acc: 0.9405, top5_acc: 0.9946 +2025-06-04 06:58:39,659 - pyskl - INFO - Epoch [104][100/2353] lr: 5.573e-03, eta: 13:13:41, time: 0.643, data_time: 0.209, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 2.0531, loss: 2.0531 +2025-06-04 06:59:23,277 - pyskl - INFO - Epoch [104][200/2353] lr: 5.564e-03, eta: 13:12:58, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 2.0373, loss: 2.0373 +2025-06-04 07:00:06,671 - pyskl - INFO - Epoch [104][300/2353] lr: 5.555e-03, eta: 13:12:15, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 2.0428, loss: 2.0428 +2025-06-04 07:00:50,085 - pyskl - INFO - Epoch [104][400/2353] lr: 5.546e-03, eta: 13:11:33, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 2.0780, loss: 2.0780 +2025-06-04 07:01:33,380 - pyskl - INFO - Epoch [104][500/2353] lr: 5.536e-03, eta: 13:10:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 2.0063, loss: 2.0063 +2025-06-04 07:02:16,771 - pyskl - INFO - Epoch [104][600/2353] lr: 5.527e-03, eta: 13:10:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9938, loss_cls: 2.0509, loss: 2.0509 +2025-06-04 07:03:00,147 - pyskl - INFO - Epoch [104][700/2353] lr: 5.518e-03, eta: 13:09:24, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9944, loss_cls: 2.0041, loss: 2.0041 +2025-06-04 07:03:43,434 - pyskl - INFO - Epoch [104][800/2353] lr: 5.509e-03, eta: 13:08:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 2.0052, loss: 2.0052 +2025-06-04 07:04:26,931 - pyskl - INFO - Epoch [104][900/2353] lr: 5.500e-03, eta: 13:07:58, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 2.0594, loss: 2.0594 +2025-06-04 07:05:10,281 - pyskl - INFO - Epoch [104][1000/2353] lr: 5.490e-03, eta: 13:07:15, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9931, loss_cls: 2.0503, loss: 2.0503 +2025-06-04 07:05:53,711 - pyskl - INFO - Epoch [104][1100/2353] lr: 5.481e-03, eta: 13:06:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 2.0027, loss: 2.0027 +2025-06-04 07:06:37,174 - pyskl - INFO - Epoch [104][1200/2353] lr: 5.472e-03, eta: 13:05:49, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 2.0848, loss: 2.0848 +2025-06-04 07:07:20,599 - pyskl - INFO - Epoch [104][1300/2353] lr: 5.463e-03, eta: 13:05:06, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 2.0378, loss: 2.0378 +2025-06-04 07:08:03,887 - pyskl - INFO - Epoch [104][1400/2353] lr: 5.453e-03, eta: 13:04:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 2.1365, loss: 2.1365 +2025-06-04 07:08:47,459 - pyskl - INFO - Epoch [104][1500/2353] lr: 5.444e-03, eta: 13:03:40, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 2.1013, loss: 2.1013 +2025-06-04 07:09:30,802 - pyskl - INFO - Epoch [104][1600/2353] lr: 5.435e-03, eta: 13:02:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 2.1400, loss: 2.1400 +2025-06-04 07:10:14,123 - pyskl - INFO - Epoch [104][1700/2353] lr: 5.426e-03, eta: 13:02:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 2.0894, loss: 2.0894 +2025-06-04 07:10:57,496 - pyskl - INFO - Epoch [104][1800/2353] lr: 5.417e-03, eta: 13:01:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 2.0986, loss: 2.0986 +2025-06-04 07:11:40,827 - pyskl - INFO - Epoch [104][1900/2353] lr: 5.408e-03, eta: 13:00:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 2.0412, loss: 2.0412 +2025-06-04 07:12:24,119 - pyskl - INFO - Epoch [104][2000/2353] lr: 5.398e-03, eta: 13:00:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 2.0678, loss: 2.0678 +2025-06-04 07:13:07,476 - pyskl - INFO - Epoch [104][2100/2353] lr: 5.389e-03, eta: 12:59:22, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 2.1659, loss: 2.1659 +2025-06-04 07:13:50,784 - pyskl - INFO - Epoch [104][2200/2353] lr: 5.380e-03, eta: 12:58:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 2.1029, loss: 2.1029 +2025-06-04 07:14:34,180 - pyskl - INFO - Epoch [104][2300/2353] lr: 5.371e-03, eta: 12:57:56, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 2.1299, loss: 2.1299 +2025-06-04 07:14:57,827 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-06-04 07:16:23,322 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 07:16:23,396 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9953 +2025-06-04 07:16:23,448 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_103.pth was removed +2025-06-04 07:16:24,465 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2025-06-04 07:16:24,465 - pyskl - INFO - Best top1_acc is 0.9449 at 104 epoch. +2025-06-04 07:16:24,468 - pyskl - INFO - Epoch(val) [104][1184] top1_acc: 0.9449, top5_acc: 0.9953 +2025-06-04 07:17:27,936 - pyskl - INFO - Epoch [105][100/2353] lr: 5.357e-03, eta: 12:56:49, time: 0.635, data_time: 0.201, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 1.9644, loss: 1.9644 +2025-06-04 07:18:11,213 - pyskl - INFO - Epoch [105][200/2353] lr: 5.348e-03, eta: 12:56:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9944, loss_cls: 1.9341, loss: 1.9341 +2025-06-04 07:18:54,560 - pyskl - INFO - Epoch [105][300/2353] lr: 5.339e-03, eta: 12:55:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 1.9598, loss: 1.9598 +2025-06-04 07:19:37,916 - pyskl - INFO - Epoch [105][400/2353] lr: 5.330e-03, eta: 12:54:40, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 2.0699, loss: 2.0699 +2025-06-04 07:20:21,407 - pyskl - INFO - Epoch [105][500/2353] lr: 5.321e-03, eta: 12:53:57, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 2.0763, loss: 2.0763 +2025-06-04 07:21:04,804 - pyskl - INFO - Epoch [105][600/2353] lr: 5.311e-03, eta: 12:53:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 2.0176, loss: 2.0176 +2025-06-04 07:21:48,039 - pyskl - INFO - Epoch [105][700/2353] lr: 5.302e-03, eta: 12:52:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 1.9704, loss: 1.9704 +2025-06-04 07:22:31,335 - pyskl - INFO - Epoch [105][800/2353] lr: 5.293e-03, eta: 12:51:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 2.0126, loss: 2.0126 +2025-06-04 07:23:14,936 - pyskl - INFO - Epoch [105][900/2353] lr: 5.284e-03, eta: 12:51:05, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 2.0879, loss: 2.0879 +2025-06-04 07:23:58,395 - pyskl - INFO - Epoch [105][1000/2353] lr: 5.275e-03, eta: 12:50:22, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 2.0629, loss: 2.0629 +2025-06-04 07:24:41,795 - pyskl - INFO - Epoch [105][1100/2353] lr: 5.266e-03, eta: 12:49:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 2.0588, loss: 2.0588 +2025-06-04 07:25:25,214 - pyskl - INFO - Epoch [105][1200/2353] lr: 5.257e-03, eta: 12:48:56, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 2.0531, loss: 2.0531 +2025-06-04 07:26:08,613 - pyskl - INFO - Epoch [105][1300/2353] lr: 5.248e-03, eta: 12:48:13, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 2.0325, loss: 2.0325 +2025-06-04 07:26:51,628 - pyskl - INFO - Epoch [105][1400/2353] lr: 5.239e-03, eta: 12:47:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 2.0390, loss: 2.0390 +2025-06-04 07:27:35,380 - pyskl - INFO - Epoch [105][1500/2353] lr: 5.230e-03, eta: 12:46:47, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 2.1411, loss: 2.1411 +2025-06-04 07:28:18,924 - pyskl - INFO - Epoch [105][1600/2353] lr: 5.221e-03, eta: 12:46:04, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 2.0410, loss: 2.0410 +2025-06-04 07:29:02,224 - pyskl - INFO - Epoch [105][1700/2353] lr: 5.212e-03, eta: 12:45:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 2.0875, loss: 2.0875 +2025-06-04 07:29:45,761 - pyskl - INFO - Epoch [105][1800/2353] lr: 5.203e-03, eta: 12:44:38, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9919, loss_cls: 2.1254, loss: 2.1254 +2025-06-04 07:30:29,091 - pyskl - INFO - Epoch [105][1900/2353] lr: 5.194e-03, eta: 12:43:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 2.0414, loss: 2.0414 +2025-06-04 07:31:12,397 - pyskl - INFO - Epoch [105][2000/2353] lr: 5.185e-03, eta: 12:43:12, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9906, loss_cls: 2.2210, loss: 2.2210 +2025-06-04 07:31:55,706 - pyskl - INFO - Epoch [105][2100/2353] lr: 5.176e-03, eta: 12:42:29, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 2.0821, loss: 2.0821 +2025-06-04 07:32:39,036 - pyskl - INFO - Epoch [105][2200/2353] lr: 5.167e-03, eta: 12:41:46, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 2.1111, loss: 2.1111 +2025-06-04 07:33:22,588 - pyskl - INFO - Epoch [105][2300/2353] lr: 5.158e-03, eta: 12:41:03, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 1.9891, loss: 1.9891 +2025-06-04 07:33:46,279 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-06-04 07:42:38,048 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 07:42:38,127 - pyskl - INFO - +top1_acc 0.9384 +top5_acc 0.9938 +2025-06-04 07:42:38,130 - pyskl - INFO - Epoch(val) [105][1184] top1_acc: 0.9384, top5_acc: 0.9938 +2025-06-04 07:43:42,956 - pyskl - INFO - Epoch [106][100/2353] lr: 5.144e-03, eta: 12:39:57, time: 0.648, data_time: 0.215, memory: 13127, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 1.9239, loss: 1.9239 +2025-06-04 07:44:26,450 - pyskl - INFO - Epoch [106][200/2353] lr: 5.135e-03, eta: 12:39:14, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 1.9830, loss: 1.9830 +2025-06-04 07:45:09,865 - pyskl - INFO - Epoch [106][300/2353] lr: 5.126e-03, eta: 12:38:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 2.0450, loss: 2.0450 +2025-06-04 07:45:53,118 - pyskl - INFO - Epoch [106][400/2353] lr: 5.117e-03, eta: 12:37:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 1.9379, loss: 1.9379 +2025-06-04 07:46:36,328 - pyskl - INFO - Epoch [106][500/2353] lr: 5.108e-03, eta: 12:37:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 1.9268, loss: 1.9268 +2025-06-04 07:47:19,566 - pyskl - INFO - Epoch [106][600/2353] lr: 5.099e-03, eta: 12:36:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 1.9817, loss: 1.9817 +2025-06-04 07:48:02,715 - pyskl - INFO - Epoch [106][700/2353] lr: 5.090e-03, eta: 12:35:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 2.0184, loss: 2.0184 +2025-06-04 07:48:45,849 - pyskl - INFO - Epoch [106][800/2353] lr: 5.081e-03, eta: 12:34:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9938, loss_cls: 2.0212, loss: 2.0212 +2025-06-04 07:49:28,994 - pyskl - INFO - Epoch [106][900/2353] lr: 5.072e-03, eta: 12:34:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 2.0105, loss: 2.0105 +2025-06-04 07:50:12,043 - pyskl - INFO - Epoch [106][1000/2353] lr: 5.063e-03, eta: 12:33:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 1.9730, loss: 1.9730 +2025-06-04 07:50:55,111 - pyskl - INFO - Epoch [106][1100/2353] lr: 5.054e-03, eta: 12:32:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 2.0069, loss: 2.0069 +2025-06-04 07:51:38,139 - pyskl - INFO - Epoch [106][1200/2353] lr: 5.045e-03, eta: 12:32:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 2.0081, loss: 2.0081 +2025-06-04 07:52:21,168 - pyskl - INFO - Epoch [106][1300/2353] lr: 5.036e-03, eta: 12:31:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9938, loss_cls: 2.0030, loss: 2.0030 +2025-06-04 07:53:04,403 - pyskl - INFO - Epoch [106][1400/2353] lr: 5.027e-03, eta: 12:30:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 2.0205, loss: 2.0205 +2025-06-04 07:53:47,844 - pyskl - INFO - Epoch [106][1500/2353] lr: 5.018e-03, eta: 12:29:54, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9925, loss_cls: 2.0631, loss: 2.0631 +2025-06-04 07:54:31,246 - pyskl - INFO - Epoch [106][1600/2353] lr: 5.010e-03, eta: 12:29:11, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 2.0374, loss: 2.0374 +2025-06-04 07:55:14,422 - pyskl - INFO - Epoch [106][1700/2353] lr: 5.001e-03, eta: 12:28:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 2.0668, loss: 2.0668 +2025-06-04 07:55:57,609 - pyskl - INFO - Epoch [106][1800/2353] lr: 4.992e-03, eta: 12:27:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9931, loss_cls: 1.9569, loss: 1.9569 +2025-06-04 07:56:40,798 - pyskl - INFO - Epoch [106][1900/2353] lr: 4.983e-03, eta: 12:27:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9925, loss_cls: 2.0944, loss: 2.0944 +2025-06-04 07:57:23,834 - pyskl - INFO - Epoch [106][2000/2353] lr: 4.974e-03, eta: 12:26:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 2.0852, loss: 2.0852 +2025-06-04 07:58:06,953 - pyskl - INFO - Epoch [106][2100/2353] lr: 4.965e-03, eta: 12:25:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 2.0225, loss: 2.0225 +2025-06-04 07:58:50,113 - pyskl - INFO - Epoch [106][2200/2353] lr: 4.956e-03, eta: 12:24:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 2.0873, loss: 2.0873 +2025-06-04 07:59:33,242 - pyskl - INFO - Epoch [106][2300/2353] lr: 4.947e-03, eta: 12:24:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 2.0637, loss: 2.0637 +2025-06-04 07:59:56,766 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-06-04 08:01:22,336 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 08:01:22,412 - pyskl - INFO - +top1_acc 0.9394 +top5_acc 0.9945 +2025-06-04 08:01:22,415 - pyskl - INFO - Epoch(val) [106][1184] top1_acc: 0.9394, top5_acc: 0.9945 +2025-06-04 08:02:27,449 - pyskl - INFO - Epoch [107][100/2353] lr: 4.934e-03, eta: 12:23:03, time: 0.650, data_time: 0.217, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 1.9604, loss: 1.9604 +2025-06-04 08:03:10,715 - pyskl - INFO - Epoch [107][200/2353] lr: 4.925e-03, eta: 12:22:20, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 1.9519, loss: 1.9519 +2025-06-04 08:03:53,738 - pyskl - INFO - Epoch [107][300/2353] lr: 4.916e-03, eta: 12:21:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 2.0700, loss: 2.0700 +2025-06-04 08:04:36,841 - pyskl - INFO - Epoch [107][400/2353] lr: 4.907e-03, eta: 12:20:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9944, loss_cls: 2.0230, loss: 2.0230 +2025-06-04 08:05:19,981 - pyskl - INFO - Epoch [107][500/2353] lr: 4.898e-03, eta: 12:20:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 1.9611, loss: 1.9611 +2025-06-04 08:06:03,063 - pyskl - INFO - Epoch [107][600/2353] lr: 4.890e-03, eta: 12:19:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 2.0069, loss: 2.0069 +2025-06-04 08:06:46,328 - pyskl - INFO - Epoch [107][700/2353] lr: 4.881e-03, eta: 12:18:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 2.0803, loss: 2.0803 +2025-06-04 08:07:29,563 - pyskl - INFO - Epoch [107][800/2353] lr: 4.872e-03, eta: 12:18:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 2.0706, loss: 2.0706 +2025-06-04 08:08:12,640 - pyskl - INFO - Epoch [107][900/2353] lr: 4.863e-03, eta: 12:17:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 1.9701, loss: 1.9701 +2025-06-04 08:08:55,786 - pyskl - INFO - Epoch [107][1000/2353] lr: 4.854e-03, eta: 12:16:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 2.0369, loss: 2.0369 +2025-06-04 08:09:38,869 - pyskl - INFO - Epoch [107][1100/2353] lr: 4.845e-03, eta: 12:15:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 1.9990, loss: 1.9990 +2025-06-04 08:10:21,948 - pyskl - INFO - Epoch [107][1200/2353] lr: 4.837e-03, eta: 12:15:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 1.9714, loss: 1.9714 +2025-06-04 08:11:05,057 - pyskl - INFO - Epoch [107][1300/2353] lr: 4.828e-03, eta: 12:14:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 2.0420, loss: 2.0420 +2025-06-04 08:11:48,164 - pyskl - INFO - Epoch [107][1400/2353] lr: 4.819e-03, eta: 12:13:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 1.9932, loss: 1.9932 +2025-06-04 08:12:31,512 - pyskl - INFO - Epoch [107][1500/2353] lr: 4.810e-03, eta: 12:13:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 2.0168, loss: 2.0168 +2025-06-04 08:13:14,688 - pyskl - INFO - Epoch [107][1600/2353] lr: 4.802e-03, eta: 12:12:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 1.9818, loss: 1.9818 +2025-06-04 08:13:58,013 - pyskl - INFO - Epoch [107][1700/2353] lr: 4.793e-03, eta: 12:11:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9938, loss_cls: 2.0582, loss: 2.0582 +2025-06-04 08:14:41,121 - pyskl - INFO - Epoch [107][1800/2353] lr: 4.784e-03, eta: 12:10:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9938, loss_cls: 2.0527, loss: 2.0527 +2025-06-04 08:15:24,234 - pyskl - INFO - Epoch [107][1900/2353] lr: 4.775e-03, eta: 12:10:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 2.0452, loss: 2.0452 +2025-06-04 08:16:07,257 - pyskl - INFO - Epoch [107][2000/2353] lr: 4.767e-03, eta: 12:09:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 2.0089, loss: 2.0089 +2025-06-04 08:16:50,317 - pyskl - INFO - Epoch [107][2100/2353] lr: 4.758e-03, eta: 12:08:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 2.0250, loss: 2.0250 +2025-06-04 08:17:33,517 - pyskl - INFO - Epoch [107][2200/2353] lr: 4.749e-03, eta: 12:07:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9888, loss_cls: 2.1125, loss: 2.1125 +2025-06-04 08:18:16,837 - pyskl - INFO - Epoch [107][2300/2353] lr: 4.740e-03, eta: 12:07:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 2.0601, loss: 2.0601 +2025-06-04 08:18:40,288 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-06-04 08:20:07,290 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 08:20:07,367 - pyskl - INFO - +top1_acc 0.9452 +top5_acc 0.9943 +2025-06-04 08:20:07,440 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_104.pth was removed +2025-06-04 08:20:08,502 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. +2025-06-04 08:20:08,502 - pyskl - INFO - Best top1_acc is 0.9452 at 107 epoch. +2025-06-04 08:20:08,505 - pyskl - INFO - Epoch(val) [107][1184] top1_acc: 0.9452, top5_acc: 0.9943 +2025-06-04 08:21:12,743 - pyskl - INFO - Epoch [108][100/2353] lr: 4.727e-03, eta: 12:06:09, time: 0.642, data_time: 0.213, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 1.8787, loss: 1.8787 +2025-06-04 08:21:55,933 - pyskl - INFO - Epoch [108][200/2353] lr: 4.718e-03, eta: 12:05:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 1.9392, loss: 1.9392 +2025-06-04 08:22:39,026 - pyskl - INFO - Epoch [108][300/2353] lr: 4.710e-03, eta: 12:04:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9938, loss_cls: 1.9585, loss: 1.9585 +2025-06-04 08:23:22,113 - pyskl - INFO - Epoch [108][400/2353] lr: 4.701e-03, eta: 12:03:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.9581, loss: 1.9581 +2025-06-04 08:24:05,198 - pyskl - INFO - Epoch [108][500/2353] lr: 4.692e-03, eta: 12:03:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 1.9152, loss: 1.9152 +2025-06-04 08:24:48,301 - pyskl - INFO - Epoch [108][600/2353] lr: 4.684e-03, eta: 12:02:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 2.0710, loss: 2.0710 +2025-06-04 08:25:31,289 - pyskl - INFO - Epoch [108][700/2353] lr: 4.675e-03, eta: 12:01:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9938, loss_cls: 1.9937, loss: 1.9937 +2025-06-04 08:26:14,297 - pyskl - INFO - Epoch [108][800/2353] lr: 4.666e-03, eta: 12:01:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 1.9671, loss: 1.9671 +2025-06-04 08:26:57,369 - pyskl - INFO - Epoch [108][900/2353] lr: 4.658e-03, eta: 12:00:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 1.9916, loss: 1.9916 +2025-06-04 08:27:40,541 - pyskl - INFO - Epoch [108][1000/2353] lr: 4.649e-03, eta: 11:59:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 2.0270, loss: 2.0270 +2025-06-04 08:28:23,569 - pyskl - INFO - Epoch [108][1100/2353] lr: 4.640e-03, eta: 11:58:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 1.9540, loss: 1.9540 +2025-06-04 08:29:06,643 - pyskl - INFO - Epoch [108][1200/2353] lr: 4.632e-03, eta: 11:58:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 1.9891, loss: 1.9891 +2025-06-04 08:29:49,626 - pyskl - INFO - Epoch [108][1300/2353] lr: 4.623e-03, eta: 11:57:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 2.0219, loss: 2.0219 +2025-06-04 08:30:32,778 - pyskl - INFO - Epoch [108][1400/2353] lr: 4.614e-03, eta: 11:56:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9944, loss_cls: 1.9422, loss: 1.9422 +2025-06-04 08:31:16,118 - pyskl - INFO - Epoch [108][1500/2353] lr: 4.606e-03, eta: 11:56:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 2.0687, loss: 2.0687 +2025-06-04 08:31:59,452 - pyskl - INFO - Epoch [108][1600/2353] lr: 4.597e-03, eta: 11:55:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 1.9362, loss: 1.9362 +2025-06-04 08:32:42,586 - pyskl - INFO - Epoch [108][1700/2353] lr: 4.588e-03, eta: 11:54:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 2.0649, loss: 2.0649 +2025-06-04 08:33:25,625 - pyskl - INFO - Epoch [108][1800/2353] lr: 4.580e-03, eta: 11:53:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9944, loss_cls: 1.9474, loss: 1.9474 +2025-06-04 08:34:08,726 - pyskl - INFO - Epoch [108][1900/2353] lr: 4.571e-03, eta: 11:53:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 1.9653, loss: 1.9653 +2025-06-04 08:34:51,820 - pyskl - INFO - Epoch [108][2000/2353] lr: 4.563e-03, eta: 11:52:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 1.9451, loss: 1.9451 +2025-06-04 08:35:34,964 - pyskl - INFO - Epoch [108][2100/2353] lr: 4.554e-03, eta: 11:51:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 1.9488, loss: 1.9488 +2025-06-04 08:36:18,148 - pyskl - INFO - Epoch [108][2200/2353] lr: 4.545e-03, eta: 11:51:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 1.9977, loss: 1.9977 +2025-06-04 08:37:01,285 - pyskl - INFO - Epoch [108][2300/2353] lr: 4.537e-03, eta: 11:50:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 1.9944, loss: 1.9944 +2025-06-04 08:37:24,713 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-06-04 08:38:50,201 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 08:38:50,276 - pyskl - INFO - +top1_acc 0.9435 +top5_acc 0.9946 +2025-06-04 08:38:50,279 - pyskl - INFO - Epoch(val) [108][1184] top1_acc: 0.9435, top5_acc: 0.9946 +2025-06-04 08:39:53,666 - pyskl - INFO - Epoch [109][100/2353] lr: 4.524e-03, eta: 11:49:13, time: 0.634, data_time: 0.202, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 1.9393, loss: 1.9393 +2025-06-04 08:40:36,794 - pyskl - INFO - Epoch [109][200/2353] lr: 4.515e-03, eta: 11:48:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 1.9063, loss: 1.9063 +2025-06-04 08:41:19,841 - pyskl - INFO - Epoch [109][300/2353] lr: 4.507e-03, eta: 11:47:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 1.9066, loss: 1.9066 +2025-06-04 08:42:02,985 - pyskl - INFO - Epoch [109][400/2353] lr: 4.498e-03, eta: 11:47:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 1.8697, loss: 1.8697 +2025-06-04 08:42:46,091 - pyskl - INFO - Epoch [109][500/2353] lr: 4.490e-03, eta: 11:46:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 1.9883, loss: 1.9883 +2025-06-04 08:43:29,170 - pyskl - INFO - Epoch [109][600/2353] lr: 4.481e-03, eta: 11:45:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 1.9925, loss: 1.9925 +2025-06-04 08:44:12,204 - pyskl - INFO - Epoch [109][700/2353] lr: 4.472e-03, eta: 11:44:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 1.9147, loss: 1.9147 +2025-06-04 08:44:55,277 - pyskl - INFO - Epoch [109][800/2353] lr: 4.464e-03, eta: 11:44:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 2.0012, loss: 2.0012 +2025-06-04 08:45:38,357 - pyskl - INFO - Epoch [109][900/2353] lr: 4.455e-03, eta: 11:43:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 1.9055, loss: 1.9055 +2025-06-04 08:46:21,492 - pyskl - INFO - Epoch [109][1000/2353] lr: 4.447e-03, eta: 11:42:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 1.9510, loss: 1.9510 +2025-06-04 08:47:04,537 - pyskl - INFO - Epoch [109][1100/2353] lr: 4.438e-03, eta: 11:42:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 1.9373, loss: 1.9373 +2025-06-04 08:47:47,566 - pyskl - INFO - Epoch [109][1200/2353] lr: 4.430e-03, eta: 11:41:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 2.0031, loss: 2.0031 +2025-06-04 08:48:30,668 - pyskl - INFO - Epoch [109][1300/2353] lr: 4.421e-03, eta: 11:40:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 1.9649, loss: 1.9649 +2025-06-04 08:49:13,813 - pyskl - INFO - Epoch [109][1400/2353] lr: 4.413e-03, eta: 11:39:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 2.0168, loss: 2.0168 +2025-06-04 08:49:56,942 - pyskl - INFO - Epoch [109][1500/2353] lr: 4.404e-03, eta: 11:39:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 1.9966, loss: 1.9966 +2025-06-04 08:50:40,077 - pyskl - INFO - Epoch [109][1600/2353] lr: 4.396e-03, eta: 11:38:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 2.0000, loss: 2.0000 +2025-06-04 08:51:23,167 - pyskl - INFO - Epoch [109][1700/2353] lr: 4.387e-03, eta: 11:37:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9938, loss_cls: 2.0310, loss: 2.0310 +2025-06-04 08:52:06,282 - pyskl - INFO - Epoch [109][1800/2353] lr: 4.379e-03, eta: 11:37:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 1.9584, loss: 1.9584 +2025-06-04 08:52:49,422 - pyskl - INFO - Epoch [109][1900/2353] lr: 4.371e-03, eta: 11:36:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 1.9509, loss: 1.9509 +2025-06-04 08:53:32,413 - pyskl - INFO - Epoch [109][2000/2353] lr: 4.362e-03, eta: 11:35:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 2.0303, loss: 2.0303 +2025-06-04 08:54:15,452 - pyskl - INFO - Epoch [109][2100/2353] lr: 4.354e-03, eta: 11:34:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 1.9233, loss: 1.9233 +2025-06-04 08:54:58,472 - pyskl - INFO - Epoch [109][2200/2353] lr: 4.345e-03, eta: 11:34:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9925, loss_cls: 2.0573, loss: 2.0573 +2025-06-04 08:55:41,679 - pyskl - INFO - Epoch [109][2300/2353] lr: 4.337e-03, eta: 11:33:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 2.0048, loss: 2.0048 +2025-06-04 08:56:05,119 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-06-04 08:57:30,642 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 08:57:30,718 - pyskl - INFO - +top1_acc 0.9429 +top5_acc 0.9949 +2025-06-04 08:57:30,722 - pyskl - INFO - Epoch(val) [109][1184] top1_acc: 0.9429, top5_acc: 0.9949 +2025-06-04 08:58:34,245 - pyskl - INFO - Epoch [110][100/2353] lr: 4.324e-03, eta: 11:32:18, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 1.9131, loss: 1.9131 +2025-06-04 08:59:17,321 - pyskl - INFO - Epoch [110][200/2353] lr: 4.315e-03, eta: 11:31:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 1.8797, loss: 1.8797 +2025-06-04 09:00:00,400 - pyskl - INFO - Epoch [110][300/2353] lr: 4.307e-03, eta: 11:30:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 1.9682, loss: 1.9682 +2025-06-04 09:00:43,551 - pyskl - INFO - Epoch [110][400/2353] lr: 4.299e-03, eta: 11:30:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 1.9846, loss: 1.9846 +2025-06-04 09:01:26,643 - pyskl - INFO - Epoch [110][500/2353] lr: 4.290e-03, eta: 11:29:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 1.9143, loss: 1.9143 +2025-06-04 09:02:09,799 - pyskl - INFO - Epoch [110][600/2353] lr: 4.282e-03, eta: 11:28:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 1.9660, loss: 1.9660 +2025-06-04 09:02:52,884 - pyskl - INFO - Epoch [110][700/2353] lr: 4.274e-03, eta: 11:28:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 1.9904, loss: 1.9904 +2025-06-04 09:03:35,889 - pyskl - INFO - Epoch [110][800/2353] lr: 4.265e-03, eta: 11:27:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 1.9359, loss: 1.9359 +2025-06-04 09:04:18,888 - pyskl - INFO - Epoch [110][900/2353] lr: 4.257e-03, eta: 11:26:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 1.9372, loss: 1.9372 +2025-06-04 09:05:02,038 - pyskl - INFO - Epoch [110][1000/2353] lr: 4.248e-03, eta: 11:25:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 1.9633, loss: 1.9633 +2025-06-04 09:05:45,184 - pyskl - INFO - Epoch [110][1100/2353] lr: 4.240e-03, eta: 11:25:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 1.9119, loss: 1.9119 +2025-06-04 09:06:28,273 - pyskl - INFO - Epoch [110][1200/2353] lr: 4.232e-03, eta: 11:24:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 2.0154, loss: 2.0154 +2025-06-04 09:07:11,363 - pyskl - INFO - Epoch [110][1300/2353] lr: 4.223e-03, eta: 11:23:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 1.9608, loss: 1.9608 +2025-06-04 09:07:54,510 - pyskl - INFO - Epoch [110][1400/2353] lr: 4.215e-03, eta: 11:22:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 1.9948, loss: 1.9948 +2025-06-04 09:08:37,532 - pyskl - INFO - Epoch [110][1500/2353] lr: 4.207e-03, eta: 11:22:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 1.9482, loss: 1.9482 +2025-06-04 09:09:20,576 - pyskl - INFO - Epoch [110][1600/2353] lr: 4.198e-03, eta: 11:21:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 1.9116, loss: 1.9116 +2025-06-04 09:10:03,642 - pyskl - INFO - Epoch [110][1700/2353] lr: 4.190e-03, eta: 11:20:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 1.9752, loss: 1.9752 +2025-06-04 09:10:46,611 - pyskl - INFO - Epoch [110][1800/2353] lr: 4.182e-03, eta: 11:20:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 1.9257, loss: 1.9257 +2025-06-04 09:11:29,550 - pyskl - INFO - Epoch [110][1900/2353] lr: 4.173e-03, eta: 11:19:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 1.9599, loss: 1.9599 +2025-06-04 09:12:12,516 - pyskl - INFO - Epoch [110][2000/2353] lr: 4.165e-03, eta: 11:18:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 1.9934, loss: 1.9934 +2025-06-04 09:12:55,496 - pyskl - INFO - Epoch [110][2100/2353] lr: 4.157e-03, eta: 11:17:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 1.9152, loss: 1.9152 +2025-06-04 09:13:38,497 - pyskl - INFO - Epoch [110][2200/2353] lr: 4.149e-03, eta: 11:17:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 2.0761, loss: 2.0761 +2025-06-04 09:14:21,505 - pyskl - INFO - Epoch [110][2300/2353] lr: 4.140e-03, eta: 11:16:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9950, loss_cls: 1.9339, loss: 1.9339 +2025-06-04 09:14:44,833 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-06-04 09:23:43,060 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 09:23:43,135 - pyskl - INFO - +top1_acc 0.9402 +top5_acc 0.9947 +2025-06-04 09:23:43,138 - pyskl - INFO - Epoch(val) [110][1184] top1_acc: 0.9402, top5_acc: 0.9947 +2025-06-04 09:24:46,317 - pyskl - INFO - Epoch [111][100/2353] lr: 4.128e-03, eta: 11:15:23, time: 0.632, data_time: 0.203, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 1.9129, loss: 1.9129 +2025-06-04 09:25:29,278 - pyskl - INFO - Epoch [111][200/2353] lr: 4.119e-03, eta: 11:14:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 1.9590, loss: 1.9590 +2025-06-04 09:26:12,349 - pyskl - INFO - Epoch [111][300/2353] lr: 4.111e-03, eta: 11:13:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 1.9086, loss: 1.9086 +2025-06-04 09:26:55,375 - pyskl - INFO - Epoch [111][400/2353] lr: 4.103e-03, eta: 11:13:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 1.9589, loss: 1.9589 +2025-06-04 09:27:38,451 - pyskl - INFO - Epoch [111][500/2353] lr: 4.095e-03, eta: 11:12:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 1.9287, loss: 1.9287 +2025-06-04 09:28:21,485 - pyskl - INFO - Epoch [111][600/2353] lr: 4.086e-03, eta: 11:11:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9956, loss_cls: 1.9583, loss: 1.9583 +2025-06-04 09:29:04,592 - pyskl - INFO - Epoch [111][700/2353] lr: 4.078e-03, eta: 11:11:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 1.8066, loss: 1.8066 +2025-06-04 09:29:47,610 - pyskl - INFO - Epoch [111][800/2353] lr: 4.070e-03, eta: 11:10:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.9073, loss: 1.9073 +2025-06-04 09:30:30,701 - pyskl - INFO - Epoch [111][900/2353] lr: 4.062e-03, eta: 11:09:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 1.8170, loss: 1.8170 +2025-06-04 09:31:13,823 - pyskl - INFO - Epoch [111][1000/2353] lr: 4.054e-03, eta: 11:08:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 1.9502, loss: 1.9502 +2025-06-04 09:31:56,928 - pyskl - INFO - Epoch [111][1100/2353] lr: 4.045e-03, eta: 11:08:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 1.8690, loss: 1.8690 +2025-06-04 09:32:40,093 - pyskl - INFO - Epoch [111][1200/2353] lr: 4.037e-03, eta: 11:07:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 1.9794, loss: 1.9794 +2025-06-04 09:33:23,134 - pyskl - INFO - Epoch [111][1300/2353] lr: 4.029e-03, eta: 11:06:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 1.9010, loss: 1.9010 +2025-06-04 09:34:06,231 - pyskl - INFO - Epoch [111][1400/2353] lr: 4.021e-03, eta: 11:06:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 1.8924, loss: 1.8924 +2025-06-04 09:34:49,382 - pyskl - INFO - Epoch [111][1500/2353] lr: 4.013e-03, eta: 11:05:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 1.8461, loss: 1.8461 +2025-06-04 09:35:32,570 - pyskl - INFO - Epoch [111][1600/2353] lr: 4.005e-03, eta: 11:04:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 1.8770, loss: 1.8770 +2025-06-04 09:36:15,686 - pyskl - INFO - Epoch [111][1700/2353] lr: 3.996e-03, eta: 11:03:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9938, loss_cls: 1.9669, loss: 1.9669 +2025-06-04 09:36:58,745 - pyskl - INFO - Epoch [111][1800/2353] lr: 3.988e-03, eta: 11:03:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9938, loss_cls: 1.9609, loss: 1.9609 +2025-06-04 09:37:41,877 - pyskl - INFO - Epoch [111][1900/2353] lr: 3.980e-03, eta: 11:02:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 1.8674, loss: 1.8674 +2025-06-04 09:38:24,958 - pyskl - INFO - Epoch [111][2000/2353] lr: 3.972e-03, eta: 11:01:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 1.9262, loss: 1.9262 +2025-06-04 09:39:08,005 - pyskl - INFO - Epoch [111][2100/2353] lr: 3.964e-03, eta: 11:01:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.9299, loss: 1.9299 +2025-06-04 09:39:51,125 - pyskl - INFO - Epoch [111][2200/2353] lr: 3.956e-03, eta: 11:00:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 1.9377, loss: 1.9377 +2025-06-04 09:40:34,328 - pyskl - INFO - Epoch [111][2300/2353] lr: 3.948e-03, eta: 10:59:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 2.0048, loss: 2.0048 +2025-06-04 09:40:57,707 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-06-04 09:42:23,042 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 09:42:23,118 - pyskl - INFO - +top1_acc 0.9443 +top5_acc 0.9950 +2025-06-04 09:42:23,121 - pyskl - INFO - Epoch(val) [111][1184] top1_acc: 0.9443, top5_acc: 0.9950 +2025-06-04 09:43:26,415 - pyskl - INFO - Epoch [112][100/2353] lr: 3.935e-03, eta: 10:58:28, time: 0.633, data_time: 0.204, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 1.8522, loss: 1.8522 +2025-06-04 09:44:09,282 - pyskl - INFO - Epoch [112][200/2353] lr: 3.927e-03, eta: 10:57:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 1.8739, loss: 1.8739 +2025-06-04 09:44:52,389 - pyskl - INFO - Epoch [112][300/2353] lr: 3.919e-03, eta: 10:57:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 1.9046, loss: 1.9046 +2025-06-04 09:45:35,473 - pyskl - INFO - Epoch [112][400/2353] lr: 3.911e-03, eta: 10:56:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9956, loss_cls: 1.9191, loss: 1.9191 +2025-06-04 09:46:18,728 - pyskl - INFO - Epoch [112][500/2353] lr: 3.903e-03, eta: 10:55:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9938, loss_cls: 1.8812, loss: 1.8812 +2025-06-04 09:47:01,894 - pyskl - INFO - Epoch [112][600/2353] lr: 3.895e-03, eta: 10:54:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 1.8646, loss: 1.8646 +2025-06-04 09:47:45,054 - pyskl - INFO - Epoch [112][700/2353] lr: 3.887e-03, eta: 10:54:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 1.8794, loss: 1.8794 +2025-06-04 09:48:28,138 - pyskl - INFO - Epoch [112][800/2353] lr: 3.879e-03, eta: 10:53:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9944, loss_cls: 1.9082, loss: 1.9082 +2025-06-04 09:49:11,252 - pyskl - INFO - Epoch [112][900/2353] lr: 3.871e-03, eta: 10:52:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 1.9717, loss: 1.9717 +2025-06-04 09:49:54,487 - pyskl - INFO - Epoch [112][1000/2353] lr: 3.862e-03, eta: 10:52:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 1.9147, loss: 1.9147 +2025-06-04 09:50:37,675 - pyskl - INFO - Epoch [112][1100/2353] lr: 3.854e-03, eta: 10:51:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9931, loss_cls: 1.8898, loss: 1.8898 +2025-06-04 09:51:20,735 - pyskl - INFO - Epoch [112][1200/2353] lr: 3.846e-03, eta: 10:50:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 1.8775, loss: 1.8775 +2025-06-04 09:52:03,823 - pyskl - INFO - Epoch [112][1300/2353] lr: 3.838e-03, eta: 10:49:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 1.8868, loss: 1.8868 +2025-06-04 09:52:46,962 - pyskl - INFO - Epoch [112][1400/2353] lr: 3.830e-03, eta: 10:49:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 1.9898, loss: 1.9898 +2025-06-04 09:53:30,202 - pyskl - INFO - Epoch [112][1500/2353] lr: 3.822e-03, eta: 10:48:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 1.8987, loss: 1.8987 +2025-06-04 09:54:13,294 - pyskl - INFO - Epoch [112][1600/2353] lr: 3.814e-03, eta: 10:47:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 1.8540, loss: 1.8540 +2025-06-04 09:54:56,390 - pyskl - INFO - Epoch [112][1700/2353] lr: 3.806e-03, eta: 10:46:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9956, loss_cls: 1.8730, loss: 1.8730 +2025-06-04 09:55:39,502 - pyskl - INFO - Epoch [112][1800/2353] lr: 3.798e-03, eta: 10:46:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 1.9093, loss: 1.9093 +2025-06-04 09:56:22,525 - pyskl - INFO - Epoch [112][1900/2353] lr: 3.790e-03, eta: 10:45:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 1.9064, loss: 1.9064 +2025-06-04 09:57:05,706 - pyskl - INFO - Epoch [112][2000/2353] lr: 3.782e-03, eta: 10:44:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9938, loss_cls: 1.9255, loss: 1.9255 +2025-06-04 09:57:48,769 - pyskl - INFO - Epoch [112][2100/2353] lr: 3.774e-03, eta: 10:44:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 1.9007, loss: 1.9007 +2025-06-04 09:58:31,913 - pyskl - INFO - Epoch [112][2200/2353] lr: 3.766e-03, eta: 10:43:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 1.9783, loss: 1.9783 +2025-06-04 09:59:14,976 - pyskl - INFO - Epoch [112][2300/2353] lr: 3.759e-03, eta: 10:42:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9956, loss_cls: 1.8216, loss: 1.8216 +2025-06-04 09:59:38,428 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-06-04 10:01:03,939 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 10:01:04,014 - pyskl - INFO - +top1_acc 0.9506 +top5_acc 0.9956 +2025-06-04 10:01:04,066 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_107.pth was removed +2025-06-04 10:01:05,058 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. +2025-06-04 10:01:05,059 - pyskl - INFO - Best top1_acc is 0.9506 at 112 epoch. +2025-06-04 10:01:05,062 - pyskl - INFO - Epoch(val) [112][1184] top1_acc: 0.9506, top5_acc: 0.9956 +2025-06-04 10:02:08,030 - pyskl - INFO - Epoch [113][100/2353] lr: 3.746e-03, eta: 10:41:33, time: 0.630, data_time: 0.199, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9962, loss_cls: 1.8711, loss: 1.8711 +2025-06-04 10:02:51,074 - pyskl - INFO - Epoch [113][200/2353] lr: 3.738e-03, eta: 10:40:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 1.8087, loss: 1.8087 +2025-06-04 10:03:34,202 - pyskl - INFO - Epoch [113][300/2353] lr: 3.730e-03, eta: 10:40:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9962, loss_cls: 1.8232, loss: 1.8232 +2025-06-04 10:04:17,355 - pyskl - INFO - Epoch [113][400/2353] lr: 3.723e-03, eta: 10:39:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 1.8998, loss: 1.8998 +2025-06-04 10:05:00,455 - pyskl - INFO - Epoch [113][500/2353] lr: 3.715e-03, eta: 10:38:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 1.8316, loss: 1.8316 +2025-06-04 10:05:43,871 - pyskl - INFO - Epoch [113][600/2353] lr: 3.707e-03, eta: 10:37:57, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9950, loss_cls: 1.8372, loss: 1.8372 +2025-06-04 10:06:26,929 - pyskl - INFO - Epoch [113][700/2353] lr: 3.699e-03, eta: 10:37:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 1.8542, loss: 1.8542 +2025-06-04 10:07:10,010 - pyskl - INFO - Epoch [113][800/2353] lr: 3.691e-03, eta: 10:36:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 1.8402, loss: 1.8402 +2025-06-04 10:07:53,109 - pyskl - INFO - Epoch [113][900/2353] lr: 3.683e-03, eta: 10:35:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9956, loss_cls: 1.8165, loss: 1.8165 +2025-06-04 10:08:36,365 - pyskl - INFO - Epoch [113][1000/2353] lr: 3.675e-03, eta: 10:35:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 1.7916, loss: 1.7916 +2025-06-04 10:09:19,514 - pyskl - INFO - Epoch [113][1100/2353] lr: 3.667e-03, eta: 10:34:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.7968, loss: 1.7968 +2025-06-04 10:10:02,507 - pyskl - INFO - Epoch [113][1200/2353] lr: 3.659e-03, eta: 10:33:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 1.8737, loss: 1.8737 +2025-06-04 10:10:45,720 - pyskl - INFO - Epoch [113][1300/2353] lr: 3.652e-03, eta: 10:32:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 1.8753, loss: 1.8753 +2025-06-04 10:11:28,754 - pyskl - INFO - Epoch [113][1400/2353] lr: 3.644e-03, eta: 10:32:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 1.8531, loss: 1.8531 +2025-06-04 10:12:11,819 - pyskl - INFO - Epoch [113][1500/2353] lr: 3.636e-03, eta: 10:31:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 1.8252, loss: 1.8252 +2025-06-04 10:12:55,192 - pyskl - INFO - Epoch [113][1600/2353] lr: 3.628e-03, eta: 10:30:46, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 1.9325, loss: 1.9325 +2025-06-04 10:13:38,437 - pyskl - INFO - Epoch [113][1700/2353] lr: 3.620e-03, eta: 10:30:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 1.9257, loss: 1.9257 +2025-06-04 10:14:21,521 - pyskl - INFO - Epoch [113][1800/2353] lr: 3.612e-03, eta: 10:29:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 1.8932, loss: 1.8932 +2025-06-04 10:15:04,584 - pyskl - INFO - Epoch [113][1900/2353] lr: 3.605e-03, eta: 10:28:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 1.9727, loss: 1.9727 +2025-06-04 10:15:47,733 - pyskl - INFO - Epoch [113][2000/2353] lr: 3.597e-03, eta: 10:27:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 1.7980, loss: 1.7980 +2025-06-04 10:16:30,827 - pyskl - INFO - Epoch [113][2100/2353] lr: 3.589e-03, eta: 10:27:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 1.8983, loss: 1.8983 +2025-06-04 10:17:13,922 - pyskl - INFO - Epoch [113][2200/2353] lr: 3.581e-03, eta: 10:26:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 1.8678, loss: 1.8678 +2025-06-04 10:17:57,245 - pyskl - INFO - Epoch [113][2300/2353] lr: 3.573e-03, eta: 10:25:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 1.8258, loss: 1.8258 +2025-06-04 10:18:20,700 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-06-04 10:19:46,237 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 10:19:46,313 - pyskl - INFO - +top1_acc 0.9471 +top5_acc 0.9949 +2025-06-04 10:19:46,316 - pyskl - INFO - Epoch(val) [113][1184] top1_acc: 0.9471, top5_acc: 0.9949 +2025-06-04 10:20:49,597 - pyskl - INFO - Epoch [114][100/2353] lr: 3.561e-03, eta: 10:24:38, time: 0.633, data_time: 0.204, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.8503, loss: 1.8503 +2025-06-04 10:21:32,627 - pyskl - INFO - Epoch [114][200/2353] lr: 3.554e-03, eta: 10:23:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 1.7397, loss: 1.7397 +2025-06-04 10:22:15,693 - pyskl - INFO - Epoch [114][300/2353] lr: 3.546e-03, eta: 10:23:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9956, loss_cls: 1.7916, loss: 1.7916 +2025-06-04 10:22:58,769 - pyskl - INFO - Epoch [114][400/2353] lr: 3.538e-03, eta: 10:22:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 1.8295, loss: 1.8295 +2025-06-04 10:23:41,882 - pyskl - INFO - Epoch [114][500/2353] lr: 3.530e-03, eta: 10:21:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9962, loss_cls: 1.8102, loss: 1.8102 +2025-06-04 10:24:24,998 - pyskl - INFO - Epoch [114][600/2353] lr: 3.523e-03, eta: 10:21:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 1.9148, loss: 1.9148 +2025-06-04 10:25:08,054 - pyskl - INFO - Epoch [114][700/2353] lr: 3.515e-03, eta: 10:20:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 1.8633, loss: 1.8633 +2025-06-04 10:25:51,169 - pyskl - INFO - Epoch [114][800/2353] lr: 3.507e-03, eta: 10:19:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 1.8325, loss: 1.8325 +2025-06-04 10:26:34,358 - pyskl - INFO - Epoch [114][900/2353] lr: 3.499e-03, eta: 10:18:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.8207, loss: 1.8207 +2025-06-04 10:27:17,530 - pyskl - INFO - Epoch [114][1000/2353] lr: 3.492e-03, eta: 10:18:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 1.7970, loss: 1.7970 +2025-06-04 10:28:00,662 - pyskl - INFO - Epoch [114][1100/2353] lr: 3.484e-03, eta: 10:17:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.8795, loss: 1.8795 +2025-06-04 10:28:43,726 - pyskl - INFO - Epoch [114][1200/2353] lr: 3.476e-03, eta: 10:16:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 1.9269, loss: 1.9269 +2025-06-04 10:29:26,868 - pyskl - INFO - Epoch [114][1300/2353] lr: 3.469e-03, eta: 10:16:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 1.8888, loss: 1.8888 +2025-06-04 10:30:09,952 - pyskl - INFO - Epoch [114][1400/2353] lr: 3.461e-03, eta: 10:15:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 1.8689, loss: 1.8689 +2025-06-04 10:30:53,219 - pyskl - INFO - Epoch [114][1500/2353] lr: 3.453e-03, eta: 10:14:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 1.8223, loss: 1.8223 +2025-06-04 10:31:36,438 - pyskl - INFO - Epoch [114][1600/2353] lr: 3.446e-03, eta: 10:13:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 1.8189, loss: 1.8189 +2025-06-04 10:32:19,774 - pyskl - INFO - Epoch [114][1700/2353] lr: 3.438e-03, eta: 10:13:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 1.8816, loss: 1.8816 +2025-06-04 10:33:03,103 - pyskl - INFO - Epoch [114][1800/2353] lr: 3.430e-03, eta: 10:12:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 1.8104, loss: 1.8104 +2025-06-04 10:33:46,335 - pyskl - INFO - Epoch [114][1900/2353] lr: 3.423e-03, eta: 10:11:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 1.8510, loss: 1.8510 +2025-06-04 10:34:29,563 - pyskl - INFO - Epoch [114][2000/2353] lr: 3.415e-03, eta: 10:10:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 1.8888, loss: 1.8888 +2025-06-04 10:35:12,717 - pyskl - INFO - Epoch [114][2100/2353] lr: 3.407e-03, eta: 10:10:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 1.8197, loss: 1.8197 +2025-06-04 10:35:55,834 - pyskl - INFO - Epoch [114][2200/2353] lr: 3.400e-03, eta: 10:09:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.8036, loss: 1.8036 +2025-06-04 10:36:38,916 - pyskl - INFO - Epoch [114][2300/2353] lr: 3.392e-03, eta: 10:08:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 1.7937, loss: 1.7937 +2025-06-04 10:37:02,541 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-06-04 10:38:29,070 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 10:38:29,148 - pyskl - INFO - +top1_acc 0.9508 +top5_acc 0.9953 +2025-06-04 10:38:29,227 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_112.pth was removed +2025-06-04 10:38:30,274 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2025-06-04 10:38:30,275 - pyskl - INFO - Best top1_acc is 0.9508 at 114 epoch. +2025-06-04 10:38:30,278 - pyskl - INFO - Epoch(val) [114][1184] top1_acc: 0.9508, top5_acc: 0.9953 +2025-06-04 10:39:35,541 - pyskl - INFO - Epoch [115][100/2353] lr: 3.380e-03, eta: 10:07:44, time: 0.653, data_time: 0.219, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 1.8057, loss: 1.8057 +2025-06-04 10:40:18,729 - pyskl - INFO - Epoch [115][200/2353] lr: 3.373e-03, eta: 10:07:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.7138, loss: 1.7138 +2025-06-04 10:41:01,990 - pyskl - INFO - Epoch [115][300/2353] lr: 3.365e-03, eta: 10:06:18, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 1.8358, loss: 1.8358 +2025-06-04 10:41:45,182 - pyskl - INFO - Epoch [115][400/2353] lr: 3.358e-03, eta: 10:05:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 1.8370, loss: 1.8370 +2025-06-04 10:42:28,354 - pyskl - INFO - Epoch [115][500/2353] lr: 3.350e-03, eta: 10:04:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 1.8086, loss: 1.8086 +2025-06-04 10:43:11,638 - pyskl - INFO - Epoch [115][600/2353] lr: 3.342e-03, eta: 10:04:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 1.8727, loss: 1.8727 +2025-06-04 10:43:54,990 - pyskl - INFO - Epoch [115][700/2353] lr: 3.335e-03, eta: 10:03:26, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 1.7718, loss: 1.7718 +2025-06-04 10:44:38,169 - pyskl - INFO - Epoch [115][800/2353] lr: 3.327e-03, eta: 10:02:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 1.8402, loss: 1.8402 +2025-06-04 10:45:21,286 - pyskl - INFO - Epoch [115][900/2353] lr: 3.320e-03, eta: 10:01:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 1.8702, loss: 1.8702 +2025-06-04 10:46:04,417 - pyskl - INFO - Epoch [115][1000/2353] lr: 3.312e-03, eta: 10:01:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.8183, loss: 1.8183 +2025-06-04 10:46:47,903 - pyskl - INFO - Epoch [115][1100/2353] lr: 3.305e-03, eta: 10:00:33, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 1.7228, loss: 1.7228 +2025-06-04 10:47:31,012 - pyskl - INFO - Epoch [115][1200/2353] lr: 3.297e-03, eta: 9:59:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.8027, loss: 1.8027 +2025-06-04 10:48:14,210 - pyskl - INFO - Epoch [115][1300/2353] lr: 3.290e-03, eta: 9:59:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9944, loss_cls: 1.8470, loss: 1.8470 +2025-06-04 10:48:57,267 - pyskl - INFO - Epoch [115][1400/2353] lr: 3.282e-03, eta: 9:58:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.8901, loss: 1.8901 +2025-06-04 10:49:40,425 - pyskl - INFO - Epoch [115][1500/2353] lr: 3.275e-03, eta: 9:57:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 1.8026, loss: 1.8026 +2025-06-04 10:50:23,469 - pyskl - INFO - Epoch [115][1600/2353] lr: 3.267e-03, eta: 9:56:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 1.7557, loss: 1.7557 +2025-06-04 10:51:06,562 - pyskl - INFO - Epoch [115][1700/2353] lr: 3.260e-03, eta: 9:56:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 1.8570, loss: 1.8570 +2025-06-04 10:51:49,711 - pyskl - INFO - Epoch [115][1800/2353] lr: 3.252e-03, eta: 9:55:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 1.9105, loss: 1.9105 +2025-06-04 10:52:32,834 - pyskl - INFO - Epoch [115][1900/2353] lr: 3.245e-03, eta: 9:54:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 1.8439, loss: 1.8439 +2025-06-04 10:53:15,922 - pyskl - INFO - Epoch [115][2000/2353] lr: 3.237e-03, eta: 9:54:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 1.8683, loss: 1.8683 +2025-06-04 10:53:59,003 - pyskl - INFO - Epoch [115][2100/2353] lr: 3.230e-03, eta: 9:53:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 1.8250, loss: 1.8250 +2025-06-04 10:54:42,130 - pyskl - INFO - Epoch [115][2200/2353] lr: 3.222e-03, eta: 9:52:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9956, loss_cls: 1.8434, loss: 1.8434 +2025-06-04 10:55:25,387 - pyskl - INFO - Epoch [115][2300/2353] lr: 3.215e-03, eta: 9:51:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9950, loss_cls: 1.8447, loss: 1.8447 +2025-06-04 10:55:48,803 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-06-04 11:04:25,456 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 11:04:25,533 - pyskl - INFO - +top1_acc 0.9467 +top5_acc 0.9954 +2025-06-04 11:04:25,537 - pyskl - INFO - Epoch(val) [115][1184] top1_acc: 0.9467, top5_acc: 0.9954 +2025-06-04 11:05:29,585 - pyskl - INFO - Epoch [116][100/2353] lr: 3.203e-03, eta: 9:50:50, time: 0.640, data_time: 0.207, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 1.7251, loss: 1.7251 +2025-06-04 11:06:12,695 - pyskl - INFO - Epoch [116][200/2353] lr: 3.196e-03, eta: 9:50:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.7311, loss: 1.7311 +2025-06-04 11:06:55,749 - pyskl - INFO - Epoch [116][300/2353] lr: 3.188e-03, eta: 9:49:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 1.8530, loss: 1.8530 +2025-06-04 11:07:38,819 - pyskl - INFO - Epoch [116][400/2353] lr: 3.181e-03, eta: 9:48:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 1.8481, loss: 1.8481 +2025-06-04 11:08:21,978 - pyskl - INFO - Epoch [116][500/2353] lr: 3.174e-03, eta: 9:47:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 1.7109, loss: 1.7109 +2025-06-04 11:09:05,227 - pyskl - INFO - Epoch [116][600/2353] lr: 3.166e-03, eta: 9:47:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9950, loss_cls: 1.8060, loss: 1.8060 +2025-06-04 11:09:48,342 - pyskl - INFO - Epoch [116][700/2353] lr: 3.159e-03, eta: 9:46:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 1.8406, loss: 1.8406 +2025-06-04 11:10:31,586 - pyskl - INFO - Epoch [116][800/2353] lr: 3.151e-03, eta: 9:45:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.7640, loss: 1.7640 +2025-06-04 11:11:14,822 - pyskl - INFO - Epoch [116][900/2353] lr: 3.144e-03, eta: 9:45:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 1.7889, loss: 1.7889 +2025-06-04 11:11:57,985 - pyskl - INFO - Epoch [116][1000/2353] lr: 3.137e-03, eta: 9:44:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.8416, loss: 1.8416 +2025-06-04 11:12:41,399 - pyskl - INFO - Epoch [116][1100/2353] lr: 3.129e-03, eta: 9:43:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 1.8186, loss: 1.8186 +2025-06-04 11:13:24,937 - pyskl - INFO - Epoch [116][1200/2353] lr: 3.122e-03, eta: 9:42:56, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.7970, loss: 1.7970 +2025-06-04 11:14:08,414 - pyskl - INFO - Epoch [116][1300/2353] lr: 3.115e-03, eta: 9:42:13, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 1.7831, loss: 1.7831 +2025-06-04 11:14:51,603 - pyskl - INFO - Epoch [116][1400/2353] lr: 3.107e-03, eta: 9:41:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 1.8270, loss: 1.8270 +2025-06-04 11:15:34,787 - pyskl - INFO - Epoch [116][1500/2353] lr: 3.100e-03, eta: 9:40:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 1.7940, loss: 1.7940 +2025-06-04 11:16:18,240 - pyskl - INFO - Epoch [116][1600/2353] lr: 3.093e-03, eta: 9:40:04, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 1.8587, loss: 1.8587 +2025-06-04 11:17:01,470 - pyskl - INFO - Epoch [116][1700/2353] lr: 3.085e-03, eta: 9:39:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 1.8154, loss: 1.8154 +2025-06-04 11:17:44,738 - pyskl - INFO - Epoch [116][1800/2353] lr: 3.078e-03, eta: 9:38:38, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 1.7919, loss: 1.7919 +2025-06-04 11:18:27,880 - pyskl - INFO - Epoch [116][1900/2353] lr: 3.071e-03, eta: 9:37:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 1.7508, loss: 1.7508 +2025-06-04 11:19:11,065 - pyskl - INFO - Epoch [116][2000/2353] lr: 3.063e-03, eta: 9:37:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 1.8814, loss: 1.8814 +2025-06-04 11:19:54,266 - pyskl - INFO - Epoch [116][2100/2353] lr: 3.056e-03, eta: 9:36:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 1.8279, loss: 1.8279 +2025-06-04 11:20:37,407 - pyskl - INFO - Epoch [116][2200/2353] lr: 3.049e-03, eta: 9:35:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 1.8272, loss: 1.8272 +2025-06-04 11:21:20,545 - pyskl - INFO - Epoch [116][2300/2353] lr: 3.041e-03, eta: 9:35:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 1.7922, loss: 1.7922 +2025-06-04 11:21:43,956 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-06-04 11:23:09,490 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 11:23:09,566 - pyskl - INFO - +top1_acc 0.9521 +top5_acc 0.9950 +2025-06-04 11:23:09,619 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_114.pth was removed +2025-06-04 11:23:10,649 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2025-06-04 11:23:10,649 - pyskl - INFO - Best top1_acc is 0.9521 at 116 epoch. +2025-06-04 11:23:10,652 - pyskl - INFO - Epoch(val) [116][1184] top1_acc: 0.9521, top5_acc: 0.9950 +2025-06-04 11:24:14,108 - pyskl - INFO - Epoch [117][100/2353] lr: 3.030e-03, eta: 9:33:56, time: 0.635, data_time: 0.204, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.7234, loss: 1.7234 +2025-06-04 11:24:57,133 - pyskl - INFO - Epoch [117][200/2353] lr: 3.023e-03, eta: 9:33:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.8095, loss: 1.8095 +2025-06-04 11:25:40,289 - pyskl - INFO - Epoch [117][300/2353] lr: 3.016e-03, eta: 9:32:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 1.7576, loss: 1.7576 +2025-06-04 11:26:23,384 - pyskl - INFO - Epoch [117][400/2353] lr: 3.009e-03, eta: 9:31:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9962, loss_cls: 1.8141, loss: 1.8141 +2025-06-04 11:27:06,461 - pyskl - INFO - Epoch [117][500/2353] lr: 3.001e-03, eta: 9:31:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 1.8144, loss: 1.8144 +2025-06-04 11:27:49,494 - pyskl - INFO - Epoch [117][600/2353] lr: 2.994e-03, eta: 9:30:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.7568, loss: 1.7568 +2025-06-04 11:28:32,675 - pyskl - INFO - Epoch [117][700/2353] lr: 2.987e-03, eta: 9:29:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 1.7761, loss: 1.7761 +2025-06-04 11:29:15,896 - pyskl - INFO - Epoch [117][800/2353] lr: 2.980e-03, eta: 9:28:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.7311, loss: 1.7311 +2025-06-04 11:29:58,967 - pyskl - INFO - Epoch [117][900/2353] lr: 2.973e-03, eta: 9:28:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 1.7052, loss: 1.7052 +2025-06-04 11:30:42,036 - pyskl - INFO - Epoch [117][1000/2353] lr: 2.965e-03, eta: 9:27:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 1.8340, loss: 1.8340 +2025-06-04 11:31:25,250 - pyskl - INFO - Epoch [117][1100/2353] lr: 2.958e-03, eta: 9:26:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.8448, loss: 1.8448 +2025-06-04 11:32:08,348 - pyskl - INFO - Epoch [117][1200/2353] lr: 2.951e-03, eta: 9:26:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 1.7836, loss: 1.7836 +2025-06-04 11:32:51,493 - pyskl - INFO - Epoch [117][1300/2353] lr: 2.944e-03, eta: 9:25:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.8227, loss: 1.8227 +2025-06-04 11:33:34,663 - pyskl - INFO - Epoch [117][1400/2353] lr: 2.937e-03, eta: 9:24:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 1.7817, loss: 1.7817 +2025-06-04 11:34:17,772 - pyskl - INFO - Epoch [117][1500/2353] lr: 2.929e-03, eta: 9:23:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 1.7897, loss: 1.7897 +2025-06-04 11:35:00,967 - pyskl - INFO - Epoch [117][1600/2353] lr: 2.922e-03, eta: 9:23:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 1.7783, loss: 1.7783 +2025-06-04 11:35:44,330 - pyskl - INFO - Epoch [117][1700/2353] lr: 2.915e-03, eta: 9:22:26, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.7370, loss: 1.7370 +2025-06-04 11:36:27,555 - pyskl - INFO - Epoch [117][1800/2353] lr: 2.908e-03, eta: 9:21:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 1.7688, loss: 1.7688 +2025-06-04 11:37:10,707 - pyskl - INFO - Epoch [117][1900/2353] lr: 2.901e-03, eta: 9:21:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 1.7532, loss: 1.7532 +2025-06-04 11:37:53,733 - pyskl - INFO - Epoch [117][2000/2353] lr: 2.894e-03, eta: 9:20:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9956, loss_cls: 1.8487, loss: 1.8487 +2025-06-04 11:38:36,804 - pyskl - INFO - Epoch [117][2100/2353] lr: 2.887e-03, eta: 9:19:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.7304, loss: 1.7304 +2025-06-04 11:39:19,926 - pyskl - INFO - Epoch [117][2200/2353] lr: 2.880e-03, eta: 9:18:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 1.8071, loss: 1.8071 +2025-06-04 11:40:03,034 - pyskl - INFO - Epoch [117][2300/2353] lr: 2.872e-03, eta: 9:18:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 1.7835, loss: 1.7835 +2025-06-04 11:40:26,364 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-06-04 11:41:52,228 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 11:41:52,306 - pyskl - INFO - +top1_acc 0.9489 +top5_acc 0.9952 +2025-06-04 11:41:52,309 - pyskl - INFO - Epoch(val) [117][1184] top1_acc: 0.9489, top5_acc: 0.9952 +2025-06-04 11:42:55,682 - pyskl - INFO - Epoch [118][100/2353] lr: 2.862e-03, eta: 9:17:01, time: 0.634, data_time: 0.203, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 1.7468, loss: 1.7468 +2025-06-04 11:43:38,811 - pyskl - INFO - Epoch [118][200/2353] lr: 2.854e-03, eta: 9:16:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 1.6730, loss: 1.6730 +2025-06-04 11:44:21,918 - pyskl - INFO - Epoch [118][300/2353] lr: 2.847e-03, eta: 9:15:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 1.7914, loss: 1.7914 +2025-06-04 11:45:05,000 - pyskl - INFO - Epoch [118][400/2353] lr: 2.840e-03, eta: 9:14:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 1.7750, loss: 1.7750 +2025-06-04 11:45:48,153 - pyskl - INFO - Epoch [118][500/2353] lr: 2.833e-03, eta: 9:14:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 1.7596, loss: 1.7596 +2025-06-04 11:46:31,274 - pyskl - INFO - Epoch [118][600/2353] lr: 2.826e-03, eta: 9:13:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 1.7282, loss: 1.7282 +2025-06-04 11:47:14,270 - pyskl - INFO - Epoch [118][700/2353] lr: 2.819e-03, eta: 9:12:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9956, loss_cls: 1.7032, loss: 1.7032 +2025-06-04 11:47:57,352 - pyskl - INFO - Epoch [118][800/2353] lr: 2.812e-03, eta: 9:11:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 1.7862, loss: 1.7862 +2025-06-04 11:48:40,428 - pyskl - INFO - Epoch [118][900/2353] lr: 2.805e-03, eta: 9:11:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 1.7747, loss: 1.7747 +2025-06-04 11:49:23,494 - pyskl - INFO - Epoch [118][1000/2353] lr: 2.798e-03, eta: 9:10:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 1.6962, loss: 1.6962 +2025-06-04 11:50:06,576 - pyskl - INFO - Epoch [118][1100/2353] lr: 2.791e-03, eta: 9:09:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9962, loss_cls: 1.7200, loss: 1.7200 +2025-06-04 11:50:49,626 - pyskl - INFO - Epoch [118][1200/2353] lr: 2.784e-03, eta: 9:09:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.7390, loss: 1.7390 +2025-06-04 11:51:32,634 - pyskl - INFO - Epoch [118][1300/2353] lr: 2.777e-03, eta: 9:08:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 1.7391, loss: 1.7391 +2025-06-04 11:52:15,681 - pyskl - INFO - Epoch [118][1400/2353] lr: 2.770e-03, eta: 9:07:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9950, loss_cls: 1.7583, loss: 1.7583 +2025-06-04 11:52:58,721 - pyskl - INFO - Epoch [118][1500/2353] lr: 2.763e-03, eta: 9:06:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 1.7931, loss: 1.7931 +2025-06-04 11:53:41,963 - pyskl - INFO - Epoch [118][1600/2353] lr: 2.756e-03, eta: 9:06:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 1.7514, loss: 1.7514 +2025-06-04 11:54:25,215 - pyskl - INFO - Epoch [118][1700/2353] lr: 2.749e-03, eta: 9:05:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 1.7278, loss: 1.7278 +2025-06-04 11:55:08,474 - pyskl - INFO - Epoch [118][1800/2353] lr: 2.742e-03, eta: 9:04:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.7074, loss: 1.7074 +2025-06-04 11:55:51,623 - pyskl - INFO - Epoch [118][1900/2353] lr: 2.735e-03, eta: 9:04:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 1.7525, loss: 1.7525 +2025-06-04 11:56:34,919 - pyskl - INFO - Epoch [118][2000/2353] lr: 2.728e-03, eta: 9:03:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.7373, loss: 1.7373 +2025-06-04 11:57:18,033 - pyskl - INFO - Epoch [118][2100/2353] lr: 2.721e-03, eta: 9:02:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.7282, loss: 1.7282 +2025-06-04 11:58:01,110 - pyskl - INFO - Epoch [118][2200/2353] lr: 2.714e-03, eta: 9:01:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.7363, loss: 1.7363 +2025-06-04 11:58:44,247 - pyskl - INFO - Epoch [118][2300/2353] lr: 2.708e-03, eta: 9:01:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.7376, loss: 1.7376 +2025-06-04 11:59:07,626 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-06-04 12:00:33,359 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 12:00:33,435 - pyskl - INFO - +top1_acc 0.9458 +top5_acc 0.9948 +2025-06-04 12:00:33,439 - pyskl - INFO - Epoch(val) [118][1184] top1_acc: 0.9458, top5_acc: 0.9948 +2025-06-04 12:01:36,743 - pyskl - INFO - Epoch [119][100/2353] lr: 2.697e-03, eta: 9:00:06, time: 0.633, data_time: 0.204, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 1.6913, loss: 1.6913 +2025-06-04 12:02:19,829 - pyskl - INFO - Epoch [119][200/2353] lr: 2.690e-03, eta: 8:59:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 1.7048, loss: 1.7048 +2025-06-04 12:03:02,914 - pyskl - INFO - Epoch [119][300/2353] lr: 2.683e-03, eta: 8:58:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 1.7749, loss: 1.7749 +2025-06-04 12:03:45,966 - pyskl - INFO - Epoch [119][400/2353] lr: 2.676e-03, eta: 8:57:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 1.6949, loss: 1.6949 +2025-06-04 12:04:29,021 - pyskl - INFO - Epoch [119][500/2353] lr: 2.669e-03, eta: 8:57:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 1.7070, loss: 1.7070 +2025-06-04 12:05:12,057 - pyskl - INFO - Epoch [119][600/2353] lr: 2.663e-03, eta: 8:56:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 1.7413, loss: 1.7413 +2025-06-04 12:05:55,011 - pyskl - INFO - Epoch [119][700/2353] lr: 2.656e-03, eta: 8:55:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 1.7703, loss: 1.7703 +2025-06-04 12:06:38,038 - pyskl - INFO - Epoch [119][800/2353] lr: 2.649e-03, eta: 8:55:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 1.6774, loss: 1.6774 +2025-06-04 12:07:21,106 - pyskl - INFO - Epoch [119][900/2353] lr: 2.642e-03, eta: 8:54:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 1.7455, loss: 1.7455 +2025-06-04 12:08:04,057 - pyskl - INFO - Epoch [119][1000/2353] lr: 2.635e-03, eta: 8:53:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 1.7244, loss: 1.7244 +2025-06-04 12:08:47,184 - pyskl - INFO - Epoch [119][1100/2353] lr: 2.628e-03, eta: 8:52:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 1.6928, loss: 1.6928 +2025-06-04 12:09:30,411 - pyskl - INFO - Epoch [119][1200/2353] lr: 2.622e-03, eta: 8:52:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 1.7204, loss: 1.7204 +2025-06-04 12:10:13,496 - pyskl - INFO - Epoch [119][1300/2353] lr: 2.615e-03, eta: 8:51:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.6642, loss: 1.6642 +2025-06-04 12:10:56,656 - pyskl - INFO - Epoch [119][1400/2353] lr: 2.608e-03, eta: 8:50:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 1.7071, loss: 1.7071 +2025-06-04 12:11:39,814 - pyskl - INFO - Epoch [119][1500/2353] lr: 2.601e-03, eta: 8:50:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 1.6608, loss: 1.6608 +2025-06-04 12:12:23,039 - pyskl - INFO - Epoch [119][1600/2353] lr: 2.594e-03, eta: 8:49:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 1.8192, loss: 1.8192 +2025-06-04 12:13:06,314 - pyskl - INFO - Epoch [119][1700/2353] lr: 2.588e-03, eta: 8:48:37, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9962, loss_cls: 1.7086, loss: 1.7086 +2025-06-04 12:13:49,312 - pyskl - INFO - Epoch [119][1800/2353] lr: 2.581e-03, eta: 8:47:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 1.6694, loss: 1.6694 +2025-06-04 12:14:32,269 - pyskl - INFO - Epoch [119][1900/2353] lr: 2.574e-03, eta: 8:47:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.6744, loss: 1.6744 +2025-06-04 12:15:15,499 - pyskl - INFO - Epoch [119][2000/2353] lr: 2.567e-03, eta: 8:46:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 1.8038, loss: 1.8038 +2025-06-04 12:15:58,679 - pyskl - INFO - Epoch [119][2100/2353] lr: 2.560e-03, eta: 8:45:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 1.7294, loss: 1.7294 +2025-06-04 12:16:41,870 - pyskl - INFO - Epoch [119][2200/2353] lr: 2.554e-03, eta: 8:45:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 1.7008, loss: 1.7008 +2025-06-04 12:17:24,960 - pyskl - INFO - Epoch [119][2300/2353] lr: 2.547e-03, eta: 8:44:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 1.7280, loss: 1.7280 +2025-06-04 12:17:48,393 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-06-04 12:19:14,254 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 12:19:14,329 - pyskl - INFO - +top1_acc 0.9543 +top5_acc 0.9959 +2025-06-04 12:19:14,382 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_116.pth was removed +2025-06-04 12:19:15,358 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2025-06-04 12:19:15,358 - pyskl - INFO - Best top1_acc is 0.9543 at 119 epoch. +2025-06-04 12:19:15,361 - pyskl - INFO - Epoch(val) [119][1184] top1_acc: 0.9543, top5_acc: 0.9959 +2025-06-04 12:20:18,971 - pyskl - INFO - Epoch [120][100/2353] lr: 2.537e-03, eta: 8:43:12, time: 0.636, data_time: 0.204, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.6771, loss: 1.6771 +2025-06-04 12:21:02,162 - pyskl - INFO - Epoch [120][200/2353] lr: 2.530e-03, eta: 8:42:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 1.7127, loss: 1.7127 +2025-06-04 12:21:45,332 - pyskl - INFO - Epoch [120][300/2353] lr: 2.523e-03, eta: 8:41:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.6127, loss: 1.6127 +2025-06-04 12:22:28,562 - pyskl - INFO - Epoch [120][400/2353] lr: 2.517e-03, eta: 8:41:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 1.6373, loss: 1.6373 +2025-06-04 12:23:11,689 - pyskl - INFO - Epoch [120][500/2353] lr: 2.510e-03, eta: 8:40:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 1.7215, loss: 1.7215 +2025-06-04 12:23:54,806 - pyskl - INFO - Epoch [120][600/2353] lr: 2.503e-03, eta: 8:39:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 1.6996, loss: 1.6996 +2025-06-04 12:24:37,894 - pyskl - INFO - Epoch [120][700/2353] lr: 2.497e-03, eta: 8:38:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 1.7018, loss: 1.7018 +2025-06-04 12:25:20,981 - pyskl - INFO - Epoch [120][800/2353] lr: 2.490e-03, eta: 8:38:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 1.7459, loss: 1.7459 +2025-06-04 12:26:04,129 - pyskl - INFO - Epoch [120][900/2353] lr: 2.483e-03, eta: 8:37:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 1.6803, loss: 1.6803 +2025-06-04 12:26:47,291 - pyskl - INFO - Epoch [120][1000/2353] lr: 2.477e-03, eta: 8:36:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 1.7651, loss: 1.7651 +2025-06-04 12:27:30,408 - pyskl - INFO - Epoch [120][1100/2353] lr: 2.470e-03, eta: 8:36:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 1.6288, loss: 1.6288 +2025-06-04 12:28:13,614 - pyskl - INFO - Epoch [120][1200/2353] lr: 2.463e-03, eta: 8:35:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.6881, loss: 1.6881 +2025-06-04 12:28:56,801 - pyskl - INFO - Epoch [120][1300/2353] lr: 2.457e-03, eta: 8:34:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 1.7452, loss: 1.7452 +2025-06-04 12:29:39,942 - pyskl - INFO - Epoch [120][1400/2353] lr: 2.450e-03, eta: 8:33:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 1.7147, loss: 1.7147 +2025-06-04 12:30:22,879 - pyskl - INFO - Epoch [120][1500/2353] lr: 2.443e-03, eta: 8:33:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.7233, loss: 1.7233 +2025-06-04 12:31:06,013 - pyskl - INFO - Epoch [120][1600/2353] lr: 2.437e-03, eta: 8:32:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 1.7718, loss: 1.7718 +2025-06-04 12:31:49,105 - pyskl - INFO - Epoch [120][1700/2353] lr: 2.430e-03, eta: 8:31:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 1.6350, loss: 1.6350 +2025-06-04 12:32:32,193 - pyskl - INFO - Epoch [120][1800/2353] lr: 2.424e-03, eta: 8:30:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 1.6906, loss: 1.6906 +2025-06-04 12:33:15,329 - pyskl - INFO - Epoch [120][1900/2353] lr: 2.417e-03, eta: 8:30:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 1.6914, loss: 1.6914 +2025-06-04 12:33:58,438 - pyskl - INFO - Epoch [120][2000/2353] lr: 2.410e-03, eta: 8:29:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 1.7221, loss: 1.7221 +2025-06-04 12:34:41,551 - pyskl - INFO - Epoch [120][2100/2353] lr: 2.404e-03, eta: 8:28:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 1.7612, loss: 1.7612 +2025-06-04 12:35:24,655 - pyskl - INFO - Epoch [120][2200/2353] lr: 2.397e-03, eta: 8:28:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.7484, loss: 1.7484 +2025-06-04 12:36:07,699 - pyskl - INFO - Epoch [120][2300/2353] lr: 2.391e-03, eta: 8:27:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 1.7562, loss: 1.7562 +2025-06-04 12:36:31,082 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-06-04 12:45:33,384 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 12:45:33,461 - pyskl - INFO - +top1_acc 0.9566 +top5_acc 0.9958 +2025-06-04 12:45:33,515 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_119.pth was removed +2025-06-04 12:45:34,550 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. +2025-06-04 12:45:34,551 - pyskl - INFO - Best top1_acc is 0.9566 at 120 epoch. +2025-06-04 12:45:34,554 - pyskl - INFO - Epoch(val) [120][1184] top1_acc: 0.9566, top5_acc: 0.9958 +2025-06-04 12:46:38,191 - pyskl - INFO - Epoch [121][100/2353] lr: 2.381e-03, eta: 8:26:17, time: 0.636, data_time: 0.206, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.6944, loss: 1.6944 +2025-06-04 12:47:21,213 - pyskl - INFO - Epoch [121][200/2353] lr: 2.374e-03, eta: 8:25:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 1.6118, loss: 1.6118 +2025-06-04 12:48:04,276 - pyskl - INFO - Epoch [121][300/2353] lr: 2.368e-03, eta: 8:24:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.6595, loss: 1.6595 +2025-06-04 12:48:47,524 - pyskl - INFO - Epoch [121][400/2353] lr: 2.361e-03, eta: 8:24:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9962, loss_cls: 1.6813, loss: 1.6813 +2025-06-04 12:49:30,683 - pyskl - INFO - Epoch [121][500/2353] lr: 2.355e-03, eta: 8:23:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.6600, loss: 1.6600 +2025-06-04 12:50:13,753 - pyskl - INFO - Epoch [121][600/2353] lr: 2.348e-03, eta: 8:22:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 1.6787, loss: 1.6787 +2025-06-04 12:50:56,834 - pyskl - INFO - Epoch [121][700/2353] lr: 2.342e-03, eta: 8:21:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.6212, loss: 1.6212 +2025-06-04 12:51:39,895 - pyskl - INFO - Epoch [121][800/2353] lr: 2.335e-03, eta: 8:21:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.7013, loss: 1.7013 +2025-06-04 12:52:22,941 - pyskl - INFO - Epoch [121][900/2353] lr: 2.329e-03, eta: 8:20:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 1.6705, loss: 1.6705 +2025-06-04 12:53:05,985 - pyskl - INFO - Epoch [121][1000/2353] lr: 2.322e-03, eta: 8:19:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.7034, loss: 1.7034 +2025-06-04 12:53:49,009 - pyskl - INFO - Epoch [121][1100/2353] lr: 2.316e-03, eta: 8:19:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.7114, loss: 1.7114 +2025-06-04 12:54:32,212 - pyskl - INFO - Epoch [121][1200/2353] lr: 2.309e-03, eta: 8:18:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9969, loss_cls: 1.6157, loss: 1.6157 +2025-06-04 12:55:15,404 - pyskl - INFO - Epoch [121][1300/2353] lr: 2.303e-03, eta: 8:17:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 1.7176, loss: 1.7176 +2025-06-04 12:55:58,422 - pyskl - INFO - Epoch [121][1400/2353] lr: 2.297e-03, eta: 8:16:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.7012, loss: 1.7012 +2025-06-04 12:56:41,523 - pyskl - INFO - Epoch [121][1500/2353] lr: 2.290e-03, eta: 8:16:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 1.7366, loss: 1.7366 +2025-06-04 12:57:24,589 - pyskl - INFO - Epoch [121][1600/2353] lr: 2.284e-03, eta: 8:15:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 1.7088, loss: 1.7088 +2025-06-04 12:58:07,598 - pyskl - INFO - Epoch [121][1700/2353] lr: 2.277e-03, eta: 8:14:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9962, loss_cls: 1.6728, loss: 1.6728 +2025-06-04 12:58:50,724 - pyskl - INFO - Epoch [121][1800/2353] lr: 2.271e-03, eta: 8:14:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 1.6893, loss: 1.6893 +2025-06-04 12:59:33,941 - pyskl - INFO - Epoch [121][1900/2353] lr: 2.265e-03, eta: 8:13:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9969, loss_cls: 1.6784, loss: 1.6784 +2025-06-04 13:00:17,098 - pyskl - INFO - Epoch [121][2000/2353] lr: 2.258e-03, eta: 8:12:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 1.7262, loss: 1.7262 +2025-06-04 13:01:00,334 - pyskl - INFO - Epoch [121][2100/2353] lr: 2.252e-03, eta: 8:11:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.6801, loss: 1.6801 +2025-06-04 13:01:43,394 - pyskl - INFO - Epoch [121][2200/2353] lr: 2.245e-03, eta: 8:11:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.6604, loss: 1.6604 +2025-06-04 13:02:26,473 - pyskl - INFO - Epoch [121][2300/2353] lr: 2.239e-03, eta: 8:10:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 1.6910, loss: 1.6910 +2025-06-04 13:02:49,988 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-06-04 13:04:15,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 13:04:15,680 - pyskl - INFO - +top1_acc 0.9566 +top5_acc 0.9956 +2025-06-04 13:04:15,683 - pyskl - INFO - Epoch(val) [121][1184] top1_acc: 0.9566, top5_acc: 0.9956 +2025-06-04 13:05:19,360 - pyskl - INFO - Epoch [122][100/2353] lr: 2.229e-03, eta: 8:09:23, time: 0.637, data_time: 0.202, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.6250, loss: 1.6250 +2025-06-04 13:06:02,607 - pyskl - INFO - Epoch [122][200/2353] lr: 2.223e-03, eta: 8:08:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.6573, loss: 1.6573 +2025-06-04 13:06:45,789 - pyskl - INFO - Epoch [122][300/2353] lr: 2.217e-03, eta: 8:07:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.6767, loss: 1.6767 +2025-06-04 13:07:29,037 - pyskl - INFO - Epoch [122][400/2353] lr: 2.210e-03, eta: 8:07:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 1.5817, loss: 1.5817 +2025-06-04 13:08:12,226 - pyskl - INFO - Epoch [122][500/2353] lr: 2.204e-03, eta: 8:06:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.6359, loss: 1.6359 +2025-06-04 13:08:55,139 - pyskl - INFO - Epoch [122][600/2353] lr: 2.198e-03, eta: 8:05:47, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 1.5938, loss: 1.5938 +2025-06-04 13:09:38,116 - pyskl - INFO - Epoch [122][700/2353] lr: 2.191e-03, eta: 8:05:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 1.6297, loss: 1.6297 +2025-06-04 13:10:21,123 - pyskl - INFO - Epoch [122][800/2353] lr: 2.185e-03, eta: 8:04:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.6425, loss: 1.6425 +2025-06-04 13:11:04,270 - pyskl - INFO - Epoch [122][900/2353] lr: 2.179e-03, eta: 8:03:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.6629, loss: 1.6629 +2025-06-04 13:11:47,274 - pyskl - INFO - Epoch [122][1000/2353] lr: 2.173e-03, eta: 8:02:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9950, loss_cls: 1.6163, loss: 1.6163 +2025-06-04 13:12:30,398 - pyskl - INFO - Epoch [122][1100/2353] lr: 2.166e-03, eta: 8:02:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.6508, loss: 1.6508 +2025-06-04 13:13:13,461 - pyskl - INFO - Epoch [122][1200/2353] lr: 2.160e-03, eta: 8:01:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 1.6757, loss: 1.6757 +2025-06-04 13:13:56,486 - pyskl - INFO - Epoch [122][1300/2353] lr: 2.154e-03, eta: 8:00:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 1.6848, loss: 1.6848 +2025-06-04 13:14:39,574 - pyskl - INFO - Epoch [122][1400/2353] lr: 2.148e-03, eta: 8:00:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.6202, loss: 1.6202 +2025-06-04 13:15:22,685 - pyskl - INFO - Epoch [122][1500/2353] lr: 2.141e-03, eta: 7:59:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 1.6500, loss: 1.6500 +2025-06-04 13:16:05,834 - pyskl - INFO - Epoch [122][1600/2353] lr: 2.135e-03, eta: 7:58:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9969, loss_cls: 1.6522, loss: 1.6522 +2025-06-04 13:16:48,909 - pyskl - INFO - Epoch [122][1700/2353] lr: 2.129e-03, eta: 7:57:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.6488, loss: 1.6488 +2025-06-04 13:17:32,058 - pyskl - INFO - Epoch [122][1800/2353] lr: 2.123e-03, eta: 7:57:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.6748, loss: 1.6748 +2025-06-04 13:18:15,191 - pyskl - INFO - Epoch [122][1900/2353] lr: 2.117e-03, eta: 7:56:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.6463, loss: 1.6463 +2025-06-04 13:18:58,325 - pyskl - INFO - Epoch [122][2000/2353] lr: 2.110e-03, eta: 7:55:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 1.6604, loss: 1.6604 +2025-06-04 13:19:41,489 - pyskl - INFO - Epoch [122][2100/2353] lr: 2.104e-03, eta: 7:55:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.6082, loss: 1.6082 +2025-06-04 13:20:24,434 - pyskl - INFO - Epoch [122][2200/2353] lr: 2.098e-03, eta: 7:54:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 1.6153, loss: 1.6153 +2025-06-04 13:21:07,515 - pyskl - INFO - Epoch [122][2300/2353] lr: 2.092e-03, eta: 7:53:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 1.7084, loss: 1.7084 +2025-06-04 13:21:30,977 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-06-04 13:22:56,674 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 13:22:56,749 - pyskl - INFO - +top1_acc 0.9488 +top5_acc 0.9946 +2025-06-04 13:22:56,752 - pyskl - INFO - Epoch(val) [122][1184] top1_acc: 0.9488, top5_acc: 0.9946 +2025-06-04 13:23:59,938 - pyskl - INFO - Epoch [123][100/2353] lr: 2.082e-03, eta: 7:52:28, time: 0.632, data_time: 0.202, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 1.6317, loss: 1.6317 +2025-06-04 13:24:42,965 - pyskl - INFO - Epoch [123][200/2353] lr: 2.076e-03, eta: 7:51:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9962, loss_cls: 1.6776, loss: 1.6776 +2025-06-04 13:25:25,962 - pyskl - INFO - Epoch [123][300/2353] lr: 2.070e-03, eta: 7:51:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 1.7586, loss: 1.7586 +2025-06-04 13:26:08,977 - pyskl - INFO - Epoch [123][400/2353] lr: 2.064e-03, eta: 7:50:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9969, loss_cls: 1.6100, loss: 1.6100 +2025-06-04 13:26:52,012 - pyskl - INFO - Epoch [123][500/2353] lr: 2.058e-03, eta: 7:49:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.5889, loss: 1.5889 +2025-06-04 13:27:35,090 - pyskl - INFO - Epoch [123][600/2353] lr: 2.052e-03, eta: 7:48:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 1.6787, loss: 1.6787 +2025-06-04 13:28:18,140 - pyskl - INFO - Epoch [123][700/2353] lr: 2.046e-03, eta: 7:48:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.6450, loss: 1.6450 +2025-06-04 13:29:01,209 - pyskl - INFO - Epoch [123][800/2353] lr: 2.040e-03, eta: 7:47:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 1.6249, loss: 1.6249 +2025-06-04 13:29:44,370 - pyskl - INFO - Epoch [123][900/2353] lr: 2.033e-03, eta: 7:46:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.6059, loss: 1.6059 +2025-06-04 13:30:27,389 - pyskl - INFO - Epoch [123][1000/2353] lr: 2.027e-03, eta: 7:46:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.5705, loss: 1.5705 +2025-06-04 13:31:10,456 - pyskl - INFO - Epoch [123][1100/2353] lr: 2.021e-03, eta: 7:45:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 1.6611, loss: 1.6611 +2025-06-04 13:31:53,512 - pyskl - INFO - Epoch [123][1200/2353] lr: 2.015e-03, eta: 7:44:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 1.6973, loss: 1.6973 +2025-06-04 13:32:36,486 - pyskl - INFO - Epoch [123][1300/2353] lr: 2.009e-03, eta: 7:43:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 1.5317, loss: 1.5317 +2025-06-04 13:33:19,470 - pyskl - INFO - Epoch [123][1400/2353] lr: 2.003e-03, eta: 7:43:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.6047, loss: 1.6047 +2025-06-04 13:34:02,617 - pyskl - INFO - Epoch [123][1500/2353] lr: 1.997e-03, eta: 7:42:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.6176, loss: 1.6176 +2025-06-04 13:34:45,763 - pyskl - INFO - Epoch [123][1600/2353] lr: 1.991e-03, eta: 7:41:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 1.7383, loss: 1.7383 +2025-06-04 13:35:29,075 - pyskl - INFO - Epoch [123][1700/2353] lr: 1.985e-03, eta: 7:40:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.6154, loss: 1.6154 +2025-06-04 13:36:12,240 - pyskl - INFO - Epoch [123][1800/2353] lr: 1.979e-03, eta: 7:40:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 1.6544, loss: 1.6544 +2025-06-04 13:36:55,337 - pyskl - INFO - Epoch [123][1900/2353] lr: 1.973e-03, eta: 7:39:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 1.6868, loss: 1.6868 +2025-06-04 13:37:38,539 - pyskl - INFO - Epoch [123][2000/2353] lr: 1.967e-03, eta: 7:38:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 1.7151, loss: 1.7151 +2025-06-04 13:38:21,727 - pyskl - INFO - Epoch [123][2100/2353] lr: 1.961e-03, eta: 7:38:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9969, loss_cls: 1.6674, loss: 1.6674 +2025-06-04 13:39:04,838 - pyskl - INFO - Epoch [123][2200/2353] lr: 1.955e-03, eta: 7:37:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.5889, loss: 1.5889 +2025-06-04 13:39:47,974 - pyskl - INFO - Epoch [123][2300/2353] lr: 1.949e-03, eta: 7:36:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9962, loss_cls: 1.6374, loss: 1.6374 +2025-06-04 13:40:11,461 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-06-04 13:41:37,188 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 13:41:37,263 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9957 +2025-06-04 13:41:37,266 - pyskl - INFO - Epoch(val) [123][1184] top1_acc: 0.9523, top5_acc: 0.9957 +2025-06-04 13:42:40,594 - pyskl - INFO - Epoch [124][100/2353] lr: 1.940e-03, eta: 7:35:34, time: 0.633, data_time: 0.203, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 1.5851, loss: 1.5851 +2025-06-04 13:43:23,510 - pyskl - INFO - Epoch [124][200/2353] lr: 1.934e-03, eta: 7:34:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.6108, loss: 1.6108 +2025-06-04 13:44:06,580 - pyskl - INFO - Epoch [124][300/2353] lr: 1.928e-03, eta: 7:34:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9969, loss_cls: 1.6219, loss: 1.6219 +2025-06-04 13:44:49,641 - pyskl - INFO - Epoch [124][400/2353] lr: 1.922e-03, eta: 7:33:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 1.6032, loss: 1.6032 +2025-06-04 13:45:32,734 - pyskl - INFO - Epoch [124][500/2353] lr: 1.916e-03, eta: 7:32:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 1.5931, loss: 1.5931 +2025-06-04 13:46:15,814 - pyskl - INFO - Epoch [124][600/2353] lr: 1.910e-03, eta: 7:31:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 1.6011, loss: 1.6011 +2025-06-04 13:46:58,892 - pyskl - INFO - Epoch [124][700/2353] lr: 1.904e-03, eta: 7:31:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9969, loss_cls: 1.5903, loss: 1.5903 +2025-06-04 13:47:41,960 - pyskl - INFO - Epoch [124][800/2353] lr: 1.899e-03, eta: 7:30:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.6287, loss: 1.6287 +2025-06-04 13:48:25,086 - pyskl - INFO - Epoch [124][900/2353] lr: 1.893e-03, eta: 7:29:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9962, loss_cls: 1.6249, loss: 1.6249 +2025-06-04 13:49:08,210 - pyskl - INFO - Epoch [124][1000/2353] lr: 1.887e-03, eta: 7:29:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 1.6080, loss: 1.6080 +2025-06-04 13:49:51,197 - pyskl - INFO - Epoch [124][1100/2353] lr: 1.881e-03, eta: 7:28:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.5544, loss: 1.5544 +2025-06-04 13:50:34,195 - pyskl - INFO - Epoch [124][1200/2353] lr: 1.875e-03, eta: 7:27:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.6462, loss: 1.6462 +2025-06-04 13:51:17,228 - pyskl - INFO - Epoch [124][1300/2353] lr: 1.869e-03, eta: 7:26:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.6019, loss: 1.6019 +2025-06-04 13:52:00,301 - pyskl - INFO - Epoch [124][1400/2353] lr: 1.863e-03, eta: 7:26:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.6285, loss: 1.6285 +2025-06-04 13:52:43,372 - pyskl - INFO - Epoch [124][1500/2353] lr: 1.857e-03, eta: 7:25:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 1.7086, loss: 1.7086 +2025-06-04 13:53:26,411 - pyskl - INFO - Epoch [124][1600/2353] lr: 1.852e-03, eta: 7:24:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.6544, loss: 1.6544 +2025-06-04 13:54:09,497 - pyskl - INFO - Epoch [124][1700/2353] lr: 1.846e-03, eta: 7:24:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 1.6107, loss: 1.6107 +2025-06-04 13:54:52,640 - pyskl - INFO - Epoch [124][1800/2353] lr: 1.840e-03, eta: 7:23:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.5972, loss: 1.5972 +2025-06-04 13:55:35,642 - pyskl - INFO - Epoch [124][1900/2353] lr: 1.834e-03, eta: 7:22:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 1.6321, loss: 1.6321 +2025-06-04 13:56:18,823 - pyskl - INFO - Epoch [124][2000/2353] lr: 1.828e-03, eta: 7:21:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 1.5697, loss: 1.5697 +2025-06-04 13:57:02,106 - pyskl - INFO - Epoch [124][2100/2353] lr: 1.823e-03, eta: 7:21:12, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 1.6501, loss: 1.6501 +2025-06-04 13:57:45,320 - pyskl - INFO - Epoch [124][2200/2353] lr: 1.817e-03, eta: 7:20:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.6239, loss: 1.6239 +2025-06-04 13:58:28,500 - pyskl - INFO - Epoch [124][2300/2353] lr: 1.811e-03, eta: 7:19:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9962, loss_cls: 1.6110, loss: 1.6110 +2025-06-04 13:58:51,830 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-06-04 14:00:17,443 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 14:00:17,518 - pyskl - INFO - +top1_acc 0.9608 +top5_acc 0.9956 +2025-06-04 14:00:17,576 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_120.pth was removed +2025-06-04 14:00:18,621 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. +2025-06-04 14:00:18,621 - pyskl - INFO - Best top1_acc is 0.9608 at 124 epoch. +2025-06-04 14:00:18,625 - pyskl - INFO - Epoch(val) [124][1184] top1_acc: 0.9608, top5_acc: 0.9956 +2025-06-04 14:01:22,175 - pyskl - INFO - Epoch [125][100/2353] lr: 1.802e-03, eta: 7:18:39, time: 0.635, data_time: 0.204, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 1.6089, loss: 1.6089 +2025-06-04 14:02:05,340 - pyskl - INFO - Epoch [125][200/2353] lr: 1.796e-03, eta: 7:17:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.5599, loss: 1.5599 +2025-06-04 14:02:48,476 - pyskl - INFO - Epoch [125][300/2353] lr: 1.791e-03, eta: 7:17:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 1.5667, loss: 1.5667 +2025-06-04 14:03:31,594 - pyskl - INFO - Epoch [125][400/2353] lr: 1.785e-03, eta: 7:16:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.5283, loss: 1.5283 +2025-06-04 14:04:14,782 - pyskl - INFO - Epoch [125][500/2353] lr: 1.779e-03, eta: 7:15:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.5487, loss: 1.5487 +2025-06-04 14:04:57,921 - pyskl - INFO - Epoch [125][600/2353] lr: 1.774e-03, eta: 7:15:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.5575, loss: 1.5575 +2025-06-04 14:05:40,984 - pyskl - INFO - Epoch [125][700/2353] lr: 1.768e-03, eta: 7:14:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9962, loss_cls: 1.5265, loss: 1.5265 +2025-06-04 14:06:24,182 - pyskl - INFO - Epoch [125][800/2353] lr: 1.762e-03, eta: 7:13:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.5107, loss: 1.5107 +2025-06-04 14:07:07,274 - pyskl - INFO - Epoch [125][900/2353] lr: 1.756e-03, eta: 7:12:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 1.5615, loss: 1.5615 +2025-06-04 14:07:50,360 - pyskl - INFO - Epoch [125][1000/2353] lr: 1.751e-03, eta: 7:12:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.5227, loss: 1.5227 +2025-06-04 14:08:33,410 - pyskl - INFO - Epoch [125][1100/2353] lr: 1.745e-03, eta: 7:11:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.5946, loss: 1.5946 +2025-06-04 14:09:16,461 - pyskl - INFO - Epoch [125][1200/2353] lr: 1.739e-03, eta: 7:10:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.5688, loss: 1.5688 +2025-06-04 14:09:59,576 - pyskl - INFO - Epoch [125][1300/2353] lr: 1.734e-03, eta: 7:10:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 1.6452, loss: 1.6452 +2025-06-04 14:10:42,593 - pyskl - INFO - Epoch [125][1400/2353] lr: 1.728e-03, eta: 7:09:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 1.6486, loss: 1.6486 +2025-06-04 14:11:25,739 - pyskl - INFO - Epoch [125][1500/2353] lr: 1.723e-03, eta: 7:08:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.6180, loss: 1.6180 +2025-06-04 14:12:08,950 - pyskl - INFO - Epoch [125][1600/2353] lr: 1.717e-03, eta: 7:07:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.5448, loss: 1.5448 +2025-06-04 14:12:52,127 - pyskl - INFO - Epoch [125][1700/2353] lr: 1.711e-03, eta: 7:07:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.6712, loss: 1.6712 +2025-06-04 14:13:35,246 - pyskl - INFO - Epoch [125][1800/2353] lr: 1.706e-03, eta: 7:06:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 1.5949, loss: 1.5949 +2025-06-04 14:14:18,377 - pyskl - INFO - Epoch [125][1900/2353] lr: 1.700e-03, eta: 7:05:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.5677, loss: 1.5677 +2025-06-04 14:15:01,425 - pyskl - INFO - Epoch [125][2000/2353] lr: 1.694e-03, eta: 7:05:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 1.5925, loss: 1.5925 +2025-06-04 14:15:44,431 - pyskl - INFO - Epoch [125][2100/2353] lr: 1.689e-03, eta: 7:04:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.5907, loss: 1.5907 +2025-06-04 14:16:27,366 - pyskl - INFO - Epoch [125][2200/2353] lr: 1.683e-03, eta: 7:03:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.5865, loss: 1.5865 +2025-06-04 14:17:10,374 - pyskl - INFO - Epoch [125][2300/2353] lr: 1.678e-03, eta: 7:02:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.6071, loss: 1.6071 +2025-06-04 14:17:33,889 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-06-04 14:26:02,524 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 14:26:02,601 - pyskl - INFO - +top1_acc 0.9582 +top5_acc 0.9954 +2025-06-04 14:26:02,604 - pyskl - INFO - Epoch(val) [125][1184] top1_acc: 0.9582, top5_acc: 0.9954 +2025-06-04 14:27:06,490 - pyskl - INFO - Epoch [126][100/2353] lr: 1.669e-03, eta: 7:01:45, time: 0.639, data_time: 0.207, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 1.5515, loss: 1.5515 +2025-06-04 14:27:49,708 - pyskl - INFO - Epoch [126][200/2353] lr: 1.664e-03, eta: 7:01:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 1.6028, loss: 1.6028 +2025-06-04 14:28:32,890 - pyskl - INFO - Epoch [126][300/2353] lr: 1.658e-03, eta: 7:00:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 1.5807, loss: 1.5807 +2025-06-04 14:29:15,999 - pyskl - INFO - Epoch [126][400/2353] lr: 1.653e-03, eta: 6:59:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.5838, loss: 1.5838 +2025-06-04 14:29:59,117 - pyskl - INFO - Epoch [126][500/2353] lr: 1.647e-03, eta: 6:58:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 1.6238, loss: 1.6238 +2025-06-04 14:30:42,296 - pyskl - INFO - Epoch [126][600/2353] lr: 1.642e-03, eta: 6:58:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.6198, loss: 1.6198 +2025-06-04 14:31:25,444 - pyskl - INFO - Epoch [126][700/2353] lr: 1.636e-03, eta: 6:57:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.5771, loss: 1.5771 +2025-06-04 14:32:08,517 - pyskl - INFO - Epoch [126][800/2353] lr: 1.631e-03, eta: 6:56:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.5029, loss: 1.5029 +2025-06-04 14:32:51,655 - pyskl - INFO - Epoch [126][900/2353] lr: 1.625e-03, eta: 6:56:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 1.5383, loss: 1.5383 +2025-06-04 14:33:34,843 - pyskl - INFO - Epoch [126][1000/2353] lr: 1.620e-03, eta: 6:55:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 1.5530, loss: 1.5530 +2025-06-04 14:34:17,900 - pyskl - INFO - Epoch [126][1100/2353] lr: 1.614e-03, eta: 6:54:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.5527, loss: 1.5527 +2025-06-04 14:35:01,071 - pyskl - INFO - Epoch [126][1200/2353] lr: 1.609e-03, eta: 6:53:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 1.6103, loss: 1.6103 +2025-06-04 14:35:44,148 - pyskl - INFO - Epoch [126][1300/2353] lr: 1.603e-03, eta: 6:53:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.5502, loss: 1.5502 +2025-06-04 14:36:27,427 - pyskl - INFO - Epoch [126][1400/2353] lr: 1.598e-03, eta: 6:52:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.5194, loss: 1.5194 +2025-06-04 14:37:10,730 - pyskl - INFO - Epoch [126][1500/2353] lr: 1.592e-03, eta: 6:51:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 1.6222, loss: 1.6222 +2025-06-04 14:37:53,874 - pyskl - INFO - Epoch [126][1600/2353] lr: 1.587e-03, eta: 6:50:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.5374, loss: 1.5374 +2025-06-04 14:38:37,024 - pyskl - INFO - Epoch [126][1700/2353] lr: 1.581e-03, eta: 6:50:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 1.5394, loss: 1.5394 +2025-06-04 14:39:20,546 - pyskl - INFO - Epoch [126][1800/2353] lr: 1.576e-03, eta: 6:49:33, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 1.5256, loss: 1.5256 +2025-06-04 14:40:03,897 - pyskl - INFO - Epoch [126][1900/2353] lr: 1.571e-03, eta: 6:48:49, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.5700, loss: 1.5700 +2025-06-04 14:40:47,128 - pyskl - INFO - Epoch [126][2000/2353] lr: 1.565e-03, eta: 6:48:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.6276, loss: 1.6276 +2025-06-04 14:41:30,305 - pyskl - INFO - Epoch [126][2100/2353] lr: 1.560e-03, eta: 6:47:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 1.5901, loss: 1.5901 +2025-06-04 14:42:13,575 - pyskl - INFO - Epoch [126][2200/2353] lr: 1.554e-03, eta: 6:46:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.5550, loss: 1.5550 +2025-06-04 14:42:56,672 - pyskl - INFO - Epoch [126][2300/2353] lr: 1.549e-03, eta: 6:45:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 1.6062, loss: 1.6062 +2025-06-04 14:43:20,105 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-06-04 14:44:45,777 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 14:44:45,853 - pyskl - INFO - +top1_acc 0.9521 +top5_acc 0.9952 +2025-06-04 14:44:45,856 - pyskl - INFO - Epoch(val) [126][1184] top1_acc: 0.9521, top5_acc: 0.9952 +2025-06-04 14:45:49,636 - pyskl - INFO - Epoch [127][100/2353] lr: 1.541e-03, eta: 6:44:51, time: 0.638, data_time: 0.205, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 1.5039, loss: 1.5039 +2025-06-04 14:46:32,722 - pyskl - INFO - Epoch [127][200/2353] lr: 1.536e-03, eta: 6:44:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.5095, loss: 1.5095 +2025-06-04 14:47:15,693 - pyskl - INFO - Epoch [127][300/2353] lr: 1.530e-03, eta: 6:43:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.5083, loss: 1.5083 +2025-06-04 14:47:58,790 - pyskl - INFO - Epoch [127][400/2353] lr: 1.525e-03, eta: 6:42:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 1.5980, loss: 1.5980 +2025-06-04 14:48:41,775 - pyskl - INFO - Epoch [127][500/2353] lr: 1.520e-03, eta: 6:41:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 1.4930, loss: 1.4930 +2025-06-04 14:49:24,762 - pyskl - INFO - Epoch [127][600/2353] lr: 1.514e-03, eta: 6:41:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 1.5665, loss: 1.5665 +2025-06-04 14:50:07,837 - pyskl - INFO - Epoch [127][700/2353] lr: 1.509e-03, eta: 6:40:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 1.5190, loss: 1.5190 +2025-06-04 14:50:50,876 - pyskl - INFO - Epoch [127][800/2353] lr: 1.504e-03, eta: 6:39:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.5356, loss: 1.5356 +2025-06-04 14:51:33,885 - pyskl - INFO - Epoch [127][900/2353] lr: 1.498e-03, eta: 6:39:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 1.5889, loss: 1.5889 +2025-06-04 14:52:16,965 - pyskl - INFO - Epoch [127][1000/2353] lr: 1.493e-03, eta: 6:38:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.5111, loss: 1.5111 +2025-06-04 14:52:59,961 - pyskl - INFO - Epoch [127][1100/2353] lr: 1.488e-03, eta: 6:37:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 1.5387, loss: 1.5387 +2025-06-04 14:53:43,031 - pyskl - INFO - Epoch [127][1200/2353] lr: 1.483e-03, eta: 6:36:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9956, loss_cls: 1.5690, loss: 1.5690 +2025-06-04 14:54:26,089 - pyskl - INFO - Epoch [127][1300/2353] lr: 1.477e-03, eta: 6:36:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 1.5621, loss: 1.5621 +2025-06-04 14:55:09,213 - pyskl - INFO - Epoch [127][1400/2353] lr: 1.472e-03, eta: 6:35:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.4912, loss: 1.4912 +2025-06-04 14:55:52,319 - pyskl - INFO - Epoch [127][1500/2353] lr: 1.467e-03, eta: 6:34:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.5681, loss: 1.5681 +2025-06-04 14:56:35,549 - pyskl - INFO - Epoch [127][1600/2353] lr: 1.462e-03, eta: 6:34:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4857, loss: 1.4857 +2025-06-04 14:57:18,754 - pyskl - INFO - Epoch [127][1700/2353] lr: 1.456e-03, eta: 6:33:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 1.5569, loss: 1.5569 +2025-06-04 14:58:01,967 - pyskl - INFO - Epoch [127][1800/2353] lr: 1.451e-03, eta: 6:32:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 1.5484, loss: 1.5484 +2025-06-04 14:58:45,189 - pyskl - INFO - Epoch [127][1900/2353] lr: 1.446e-03, eta: 6:31:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 1.5744, loss: 1.5744 +2025-06-04 14:59:28,366 - pyskl - INFO - Epoch [127][2000/2353] lr: 1.441e-03, eta: 6:31:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.5438, loss: 1.5438 +2025-06-04 15:00:11,501 - pyskl - INFO - Epoch [127][2100/2353] lr: 1.436e-03, eta: 6:30:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 1.5645, loss: 1.5645 +2025-06-04 15:00:54,612 - pyskl - INFO - Epoch [127][2200/2353] lr: 1.430e-03, eta: 6:29:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.5077, loss: 1.5077 +2025-06-04 15:01:37,746 - pyskl - INFO - Epoch [127][2300/2353] lr: 1.425e-03, eta: 6:29:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.5433, loss: 1.5433 +2025-06-04 15:02:01,147 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-06-04 15:03:26,456 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 15:03:26,531 - pyskl - INFO - +top1_acc 0.9594 +top5_acc 0.9950 +2025-06-04 15:03:26,535 - pyskl - INFO - Epoch(val) [127][1184] top1_acc: 0.9594, top5_acc: 0.9950 +2025-06-04 15:04:30,341 - pyskl - INFO - Epoch [128][100/2353] lr: 1.417e-03, eta: 6:27:57, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.5630, loss: 1.5630 +2025-06-04 15:05:13,401 - pyskl - INFO - Epoch [128][200/2353] lr: 1.412e-03, eta: 6:27:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.4997, loss: 1.4997 +2025-06-04 15:05:56,385 - pyskl - INFO - Epoch [128][300/2353] lr: 1.407e-03, eta: 6:26:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.4764, loss: 1.4764 +2025-06-04 15:06:39,472 - pyskl - INFO - Epoch [128][400/2353] lr: 1.402e-03, eta: 6:25:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 1.5290, loss: 1.5290 +2025-06-04 15:07:22,493 - pyskl - INFO - Epoch [128][500/2353] lr: 1.397e-03, eta: 6:25:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.4887, loss: 1.4887 +2025-06-04 15:08:05,449 - pyskl - INFO - Epoch [128][600/2353] lr: 1.392e-03, eta: 6:24:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 1.5859, loss: 1.5859 +2025-06-04 15:08:48,481 - pyskl - INFO - Epoch [128][700/2353] lr: 1.387e-03, eta: 6:23:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.5076, loss: 1.5076 +2025-06-04 15:09:31,475 - pyskl - INFO - Epoch [128][800/2353] lr: 1.382e-03, eta: 6:22:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 1.5257, loss: 1.5257 +2025-06-04 15:10:14,537 - pyskl - INFO - Epoch [128][900/2353] lr: 1.376e-03, eta: 6:22:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 1.5475, loss: 1.5475 +2025-06-04 15:10:57,671 - pyskl - INFO - Epoch [128][1000/2353] lr: 1.371e-03, eta: 6:21:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.4980, loss: 1.4980 +2025-06-04 15:11:40,570 - pyskl - INFO - Epoch [128][1100/2353] lr: 1.366e-03, eta: 6:20:46, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 1.4908, loss: 1.4908 +2025-06-04 15:12:23,567 - pyskl - INFO - Epoch [128][1200/2353] lr: 1.361e-03, eta: 6:20:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 1.5877, loss: 1.5877 +2025-06-04 15:13:06,633 - pyskl - INFO - Epoch [128][1300/2353] lr: 1.356e-03, eta: 6:19:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.4484, loss: 1.4484 +2025-06-04 15:13:49,625 - pyskl - INFO - Epoch [128][1400/2353] lr: 1.351e-03, eta: 6:18:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.4829, loss: 1.4829 +2025-06-04 15:14:32,596 - pyskl - INFO - Epoch [128][1500/2353] lr: 1.346e-03, eta: 6:17:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.5881, loss: 1.5881 +2025-06-04 15:15:15,598 - pyskl - INFO - Epoch [128][1600/2353] lr: 1.341e-03, eta: 6:17:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 1.4952, loss: 1.4952 +2025-06-04 15:15:58,803 - pyskl - INFO - Epoch [128][1700/2353] lr: 1.336e-03, eta: 6:16:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.5507, loss: 1.5507 +2025-06-04 15:16:42,132 - pyskl - INFO - Epoch [128][1800/2353] lr: 1.331e-03, eta: 6:15:44, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.4593, loss: 1.4593 +2025-06-04 15:17:25,359 - pyskl - INFO - Epoch [128][1900/2353] lr: 1.326e-03, eta: 6:15:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.4918, loss: 1.4918 +2025-06-04 15:18:08,829 - pyskl - INFO - Epoch [128][2000/2353] lr: 1.321e-03, eta: 6:14:18, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.5278, loss: 1.5278 +2025-06-04 15:18:52,014 - pyskl - INFO - Epoch [128][2100/2353] lr: 1.316e-03, eta: 6:13:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.4955, loss: 1.4955 +2025-06-04 15:19:35,107 - pyskl - INFO - Epoch [128][2200/2353] lr: 1.311e-03, eta: 6:12:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.5070, loss: 1.5070 +2025-06-04 15:20:18,185 - pyskl - INFO - Epoch [128][2300/2353] lr: 1.306e-03, eta: 6:12:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 1.5651, loss: 1.5651 +2025-06-04 15:20:41,597 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-06-04 15:22:07,467 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 15:22:07,542 - pyskl - INFO - +top1_acc 0.9603 +top5_acc 0.9956 +2025-06-04 15:22:07,545 - pyskl - INFO - Epoch(val) [128][1184] top1_acc: 0.9603, top5_acc: 0.9956 +2025-06-04 15:23:11,225 - pyskl - INFO - Epoch [129][100/2353] lr: 1.299e-03, eta: 6:11:02, time: 0.637, data_time: 0.206, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.4689, loss: 1.4689 +2025-06-04 15:23:54,315 - pyskl - INFO - Epoch [129][200/2353] lr: 1.294e-03, eta: 6:10:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.5355, loss: 1.5355 +2025-06-04 15:24:37,430 - pyskl - INFO - Epoch [129][300/2353] lr: 1.289e-03, eta: 6:09:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.4765, loss: 1.4765 +2025-06-04 15:25:20,560 - pyskl - INFO - Epoch [129][400/2353] lr: 1.284e-03, eta: 6:08:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 1.4877, loss: 1.4877 +2025-06-04 15:26:03,694 - pyskl - INFO - Epoch [129][500/2353] lr: 1.279e-03, eta: 6:08:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.4928, loss: 1.4928 +2025-06-04 15:26:46,844 - pyskl - INFO - Epoch [129][600/2353] lr: 1.274e-03, eta: 6:07:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 1.4633, loss: 1.4633 +2025-06-04 15:27:29,863 - pyskl - INFO - Epoch [129][700/2353] lr: 1.269e-03, eta: 6:06:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.4788, loss: 1.4788 +2025-06-04 15:28:12,954 - pyskl - INFO - Epoch [129][800/2353] lr: 1.264e-03, eta: 6:06:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.4612, loss: 1.4612 +2025-06-04 15:28:56,097 - pyskl - INFO - Epoch [129][900/2353] lr: 1.259e-03, eta: 6:05:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.5036, loss: 1.5036 +2025-06-04 15:29:39,241 - pyskl - INFO - Epoch [129][1000/2353] lr: 1.255e-03, eta: 6:04:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.5684, loss: 1.5684 +2025-06-04 15:30:22,344 - pyskl - INFO - Epoch [129][1100/2353] lr: 1.250e-03, eta: 6:03:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.5356, loss: 1.5356 +2025-06-04 15:31:05,485 - pyskl - INFO - Epoch [129][1200/2353] lr: 1.245e-03, eta: 6:03:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.4714, loss: 1.4714 +2025-06-04 15:31:48,529 - pyskl - INFO - Epoch [129][1300/2353] lr: 1.240e-03, eta: 6:02:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.5253, loss: 1.5253 +2025-06-04 15:32:31,601 - pyskl - INFO - Epoch [129][1400/2353] lr: 1.235e-03, eta: 6:01:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.4657, loss: 1.4657 +2025-06-04 15:33:14,721 - pyskl - INFO - Epoch [129][1500/2353] lr: 1.230e-03, eta: 6:00:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.4380, loss: 1.4380 +2025-06-04 15:33:57,831 - pyskl - INFO - Epoch [129][1600/2353] lr: 1.226e-03, eta: 6:00:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 1.5895, loss: 1.5895 +2025-06-04 15:34:40,921 - pyskl - INFO - Epoch [129][1700/2353] lr: 1.221e-03, eta: 5:59:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4658, loss: 1.4658 +2025-06-04 15:35:24,039 - pyskl - INFO - Epoch [129][1800/2353] lr: 1.216e-03, eta: 5:58:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 1.4878, loss: 1.4878 +2025-06-04 15:36:07,233 - pyskl - INFO - Epoch [129][1900/2353] lr: 1.211e-03, eta: 5:58:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 1.4933, loss: 1.4933 +2025-06-04 15:36:50,443 - pyskl - INFO - Epoch [129][2000/2353] lr: 1.206e-03, eta: 5:57:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 1.4267, loss: 1.4267 +2025-06-04 15:37:33,697 - pyskl - INFO - Epoch [129][2100/2353] lr: 1.202e-03, eta: 5:56:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.5011, loss: 1.5011 +2025-06-04 15:38:16,882 - pyskl - INFO - Epoch [129][2200/2353] lr: 1.197e-03, eta: 5:55:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.5094, loss: 1.5094 +2025-06-04 15:39:00,002 - pyskl - INFO - Epoch [129][2300/2353] lr: 1.192e-03, eta: 5:55:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.5254, loss: 1.5254 +2025-06-04 15:39:23,419 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-06-04 15:40:49,235 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 15:40:49,310 - pyskl - INFO - +top1_acc 0.9611 +top5_acc 0.9962 +2025-06-04 15:40:49,363 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_124.pth was removed +2025-06-04 15:40:50,358 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2025-06-04 15:40:50,359 - pyskl - INFO - Best top1_acc is 0.9611 at 129 epoch. +2025-06-04 15:40:50,362 - pyskl - INFO - Epoch(val) [129][1184] top1_acc: 0.9611, top5_acc: 0.9962 +2025-06-04 15:41:53,862 - pyskl - INFO - Epoch [130][100/2353] lr: 1.185e-03, eta: 5:54:08, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.4686, loss: 1.4686 +2025-06-04 15:42:36,862 - pyskl - INFO - Epoch [130][200/2353] lr: 1.180e-03, eta: 5:53:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.5015, loss: 1.5015 +2025-06-04 15:43:19,909 - pyskl - INFO - Epoch [130][300/2353] lr: 1.176e-03, eta: 5:52:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 1.4915, loss: 1.4915 +2025-06-04 15:44:02,957 - pyskl - INFO - Epoch [130][400/2353] lr: 1.171e-03, eta: 5:51:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.4750, loss: 1.4750 +2025-06-04 15:44:45,956 - pyskl - INFO - Epoch [130][500/2353] lr: 1.166e-03, eta: 5:51:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4874, loss: 1.4874 +2025-06-04 15:45:28,981 - pyskl - INFO - Epoch [130][600/2353] lr: 1.161e-03, eta: 5:50:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 1.5126, loss: 1.5126 +2025-06-04 15:46:12,021 - pyskl - INFO - Epoch [130][700/2353] lr: 1.157e-03, eta: 5:49:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.4688, loss: 1.4688 +2025-06-04 15:46:55,021 - pyskl - INFO - Epoch [130][800/2353] lr: 1.152e-03, eta: 5:49:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.4556, loss: 1.4556 +2025-06-04 15:47:38,138 - pyskl - INFO - Epoch [130][900/2353] lr: 1.147e-03, eta: 5:48:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9969, loss_cls: 1.4860, loss: 1.4860 +2025-06-04 15:48:21,109 - pyskl - INFO - Epoch [130][1000/2353] lr: 1.143e-03, eta: 5:47:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4333, loss: 1.4333 +2025-06-04 15:49:04,110 - pyskl - INFO - Epoch [130][1100/2353] lr: 1.138e-03, eta: 5:46:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.4868, loss: 1.4868 +2025-06-04 15:49:47,057 - pyskl - INFO - Epoch [130][1200/2353] lr: 1.134e-03, eta: 5:46:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.4819, loss: 1.4819 +2025-06-04 15:50:30,113 - pyskl - INFO - Epoch [130][1300/2353] lr: 1.129e-03, eta: 5:45:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.4590, loss: 1.4590 +2025-06-04 15:51:13,161 - pyskl - INFO - Epoch [130][1400/2353] lr: 1.124e-03, eta: 5:44:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.5048, loss: 1.5048 +2025-06-04 15:51:56,213 - pyskl - INFO - Epoch [130][1500/2353] lr: 1.120e-03, eta: 5:44:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 1.4703, loss: 1.4703 +2025-06-04 15:52:39,234 - pyskl - INFO - Epoch [130][1600/2353] lr: 1.115e-03, eta: 5:43:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 1.4495, loss: 1.4495 +2025-06-04 15:53:22,271 - pyskl - INFO - Epoch [130][1700/2353] lr: 1.110e-03, eta: 5:42:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 1.4702, loss: 1.4702 +2025-06-04 15:54:05,325 - pyskl - INFO - Epoch [130][1800/2353] lr: 1.106e-03, eta: 5:41:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.4493, loss: 1.4493 +2025-06-04 15:54:48,254 - pyskl - INFO - Epoch [130][1900/2353] lr: 1.101e-03, eta: 5:41:12, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.4026, loss: 1.4026 +2025-06-04 15:55:31,239 - pyskl - INFO - Epoch [130][2000/2353] lr: 1.097e-03, eta: 5:40:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.4568, loss: 1.4568 +2025-06-04 15:56:14,231 - pyskl - INFO - Epoch [130][2100/2353] lr: 1.092e-03, eta: 5:39:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.4870, loss: 1.4870 +2025-06-04 15:56:57,288 - pyskl - INFO - Epoch [130][2200/2353] lr: 1.088e-03, eta: 5:39:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3798, loss: 1.3798 +2025-06-04 15:57:40,216 - pyskl - INFO - Epoch [130][2300/2353] lr: 1.083e-03, eta: 5:38:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.4800, loss: 1.4800 +2025-06-04 15:58:03,540 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-06-04 16:06:58,028 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 16:06:58,103 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9960 +2025-06-04 16:06:58,156 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_129.pth was removed +2025-06-04 16:06:59,151 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2025-06-04 16:06:59,152 - pyskl - INFO - Best top1_acc is 0.9615 at 130 epoch. +2025-06-04 16:06:59,155 - pyskl - INFO - Epoch(val) [130][1184] top1_acc: 0.9615, top5_acc: 0.9960 +2025-06-04 16:08:02,705 - pyskl - INFO - Epoch [131][100/2353] lr: 1.076e-03, eta: 5:37:14, time: 0.635, data_time: 0.204, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.4934, loss: 1.4934 +2025-06-04 16:08:45,711 - pyskl - INFO - Epoch [131][200/2353] lr: 1.072e-03, eta: 5:36:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.4915, loss: 1.4915 +2025-06-04 16:09:28,791 - pyskl - INFO - Epoch [131][300/2353] lr: 1.067e-03, eta: 5:35:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 1.4983, loss: 1.4983 +2025-06-04 16:10:11,941 - pyskl - INFO - Epoch [131][400/2353] lr: 1.063e-03, eta: 5:35:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.4360, loss: 1.4360 +2025-06-04 16:10:55,030 - pyskl - INFO - Epoch [131][500/2353] lr: 1.058e-03, eta: 5:34:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 1.4650, loss: 1.4650 +2025-06-04 16:11:38,163 - pyskl - INFO - Epoch [131][600/2353] lr: 1.054e-03, eta: 5:33:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 1.5123, loss: 1.5123 +2025-06-04 16:12:21,204 - pyskl - INFO - Epoch [131][700/2353] lr: 1.049e-03, eta: 5:32:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.4586, loss: 1.4586 +2025-06-04 16:13:04,304 - pyskl - INFO - Epoch [131][800/2353] lr: 1.045e-03, eta: 5:32:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4486, loss: 1.4486 +2025-06-04 16:13:47,311 - pyskl - INFO - Epoch [131][900/2353] lr: 1.040e-03, eta: 5:31:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.4424, loss: 1.4424 +2025-06-04 16:14:30,387 - pyskl - INFO - Epoch [131][1000/2353] lr: 1.036e-03, eta: 5:30:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.3942, loss: 1.3942 +2025-06-04 16:15:13,402 - pyskl - INFO - Epoch [131][1100/2353] lr: 1.031e-03, eta: 5:30:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 1.4603, loss: 1.4603 +2025-06-04 16:15:56,453 - pyskl - INFO - Epoch [131][1200/2353] lr: 1.027e-03, eta: 5:29:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.4861, loss: 1.4861 +2025-06-04 16:16:39,455 - pyskl - INFO - Epoch [131][1300/2353] lr: 1.023e-03, eta: 5:28:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4962, loss: 1.4962 +2025-06-04 16:17:22,499 - pyskl - INFO - Epoch [131][1400/2353] lr: 1.018e-03, eta: 5:27:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.4094, loss: 1.4094 +2025-06-04 16:18:05,641 - pyskl - INFO - Epoch [131][1500/2353] lr: 1.014e-03, eta: 5:27:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 1.4704, loss: 1.4704 +2025-06-04 16:18:48,835 - pyskl - INFO - Epoch [131][1600/2353] lr: 1.009e-03, eta: 5:26:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 1.4551, loss: 1.4551 +2025-06-04 16:19:31,940 - pyskl - INFO - Epoch [131][1700/2353] lr: 1.005e-03, eta: 5:25:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.4371, loss: 1.4371 +2025-06-04 16:20:15,538 - pyskl - INFO - Epoch [131][1800/2353] lr: 1.001e-03, eta: 5:25:01, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 1.4338, loss: 1.4338 +2025-06-04 16:20:59,162 - pyskl - INFO - Epoch [131][1900/2353] lr: 9.964e-04, eta: 5:24:18, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.4707, loss: 1.4707 +2025-06-04 16:21:42,589 - pyskl - INFO - Epoch [131][2000/2353] lr: 9.920e-04, eta: 5:23:35, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.4877, loss: 1.4877 +2025-06-04 16:22:25,739 - pyskl - INFO - Epoch [131][2100/2353] lr: 9.877e-04, eta: 5:22:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.3905, loss: 1.3905 +2025-06-04 16:23:08,987 - pyskl - INFO - Epoch [131][2200/2353] lr: 9.834e-04, eta: 5:22:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 1.4556, loss: 1.4556 +2025-06-04 16:23:52,166 - pyskl - INFO - Epoch [131][2300/2353] lr: 9.790e-04, eta: 5:21:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 1.4660, loss: 1.4660 +2025-06-04 16:24:15,516 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-06-04 16:25:41,002 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 16:25:41,078 - pyskl - INFO - +top1_acc 0.9610 +top5_acc 0.9962 +2025-06-04 16:25:41,081 - pyskl - INFO - Epoch(val) [131][1184] top1_acc: 0.9610, top5_acc: 0.9962 +2025-06-04 16:26:44,359 - pyskl - INFO - Epoch [132][100/2353] lr: 9.724e-04, eta: 5:20:20, time: 0.633, data_time: 0.202, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.3816, loss: 1.3816 +2025-06-04 16:27:27,502 - pyskl - INFO - Epoch [132][200/2353] lr: 9.681e-04, eta: 5:19:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.4306, loss: 1.4306 +2025-06-04 16:28:10,733 - pyskl - INFO - Epoch [132][300/2353] lr: 9.639e-04, eta: 5:18:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4382, loss: 1.4382 +2025-06-04 16:28:53,883 - pyskl - INFO - Epoch [132][400/2353] lr: 9.596e-04, eta: 5:18:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 1.4093, loss: 1.4093 +2025-06-04 16:29:36,990 - pyskl - INFO - Epoch [132][500/2353] lr: 9.553e-04, eta: 5:17:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9969, loss_cls: 1.4001, loss: 1.4001 +2025-06-04 16:30:20,248 - pyskl - INFO - Epoch [132][600/2353] lr: 9.510e-04, eta: 5:16:44, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.4789, loss: 1.4789 +2025-06-04 16:31:03,429 - pyskl - INFO - Epoch [132][700/2353] lr: 9.468e-04, eta: 5:16:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.5106, loss: 1.5106 +2025-06-04 16:31:46,713 - pyskl - INFO - Epoch [132][800/2353] lr: 9.426e-04, eta: 5:15:18, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.4297, loss: 1.4297 +2025-06-04 16:32:30,045 - pyskl - INFO - Epoch [132][900/2353] lr: 9.383e-04, eta: 5:14:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.3765, loss: 1.3765 +2025-06-04 16:33:13,282 - pyskl - INFO - Epoch [132][1000/2353] lr: 9.341e-04, eta: 5:13:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9975, loss_cls: 1.4564, loss: 1.4564 +2025-06-04 16:33:56,558 - pyskl - INFO - Epoch [132][1100/2353] lr: 9.299e-04, eta: 5:13:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.3981, loss: 1.3981 +2025-06-04 16:34:39,922 - pyskl - INFO - Epoch [132][1200/2353] lr: 9.257e-04, eta: 5:12:26, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.4158, loss: 1.4158 +2025-06-04 16:35:23,325 - pyskl - INFO - Epoch [132][1300/2353] lr: 9.215e-04, eta: 5:11:43, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.4663, loss: 1.4663 +2025-06-04 16:36:06,607 - pyskl - INFO - Epoch [132][1400/2353] lr: 9.173e-04, eta: 5:11:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 1.4743, loss: 1.4743 +2025-06-04 16:36:49,890 - pyskl - INFO - Epoch [132][1500/2353] lr: 9.131e-04, eta: 5:10:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.4426, loss: 1.4426 +2025-06-04 16:37:33,233 - pyskl - INFO - Epoch [132][1600/2353] lr: 9.089e-04, eta: 5:09:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4594, loss: 1.4594 +2025-06-04 16:38:16,692 - pyskl - INFO - Epoch [132][1700/2353] lr: 9.048e-04, eta: 5:08:51, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 1.4280, loss: 1.4280 +2025-06-04 16:39:00,046 - pyskl - INFO - Epoch [132][1800/2353] lr: 9.006e-04, eta: 5:08:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 1.4382, loss: 1.4382 +2025-06-04 16:39:43,298 - pyskl - INFO - Epoch [132][1900/2353] lr: 8.965e-04, eta: 5:07:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.3798, loss: 1.3798 +2025-06-04 16:40:26,547 - pyskl - INFO - Epoch [132][2000/2353] lr: 8.924e-04, eta: 5:06:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.4450, loss: 1.4450 +2025-06-04 16:41:09,709 - pyskl - INFO - Epoch [132][2100/2353] lr: 8.882e-04, eta: 5:05:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.4442, loss: 1.4442 +2025-06-04 16:41:52,903 - pyskl - INFO - Epoch [132][2200/2353] lr: 8.841e-04, eta: 5:05:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.4501, loss: 1.4501 +2025-06-04 16:42:35,978 - pyskl - INFO - Epoch [132][2300/2353] lr: 8.800e-04, eta: 5:04:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 1.3724, loss: 1.3724 +2025-06-04 16:42:59,369 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-06-04 16:44:24,887 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 16:44:24,962 - pyskl - INFO - +top1_acc 0.9604 +top5_acc 0.9960 +2025-06-04 16:44:24,965 - pyskl - INFO - Epoch(val) [132][1184] top1_acc: 0.9604, top5_acc: 0.9960 +2025-06-04 16:45:28,856 - pyskl - INFO - Epoch [133][100/2353] lr: 8.737e-04, eta: 5:03:26, time: 0.639, data_time: 0.206, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3746, loss: 1.3746 +2025-06-04 16:46:11,985 - pyskl - INFO - Epoch [133][200/2353] lr: 8.697e-04, eta: 5:02:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3862, loss: 1.3862 +2025-06-04 16:46:55,034 - pyskl - INFO - Epoch [133][300/2353] lr: 8.656e-04, eta: 5:02:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.4173, loss: 1.4173 +2025-06-04 16:47:38,054 - pyskl - INFO - Epoch [133][400/2353] lr: 8.615e-04, eta: 5:01:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 1.4329, loss: 1.4329 +2025-06-04 16:48:21,197 - pyskl - INFO - Epoch [133][500/2353] lr: 8.575e-04, eta: 5:00:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4453, loss: 1.4453 +2025-06-04 16:49:04,195 - pyskl - INFO - Epoch [133][600/2353] lr: 8.534e-04, eta: 4:59:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.4640, loss: 1.4640 +2025-06-04 16:49:47,358 - pyskl - INFO - Epoch [133][700/2353] lr: 8.494e-04, eta: 4:59:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 1.3828, loss: 1.3828 +2025-06-04 16:50:30,510 - pyskl - INFO - Epoch [133][800/2353] lr: 8.454e-04, eta: 4:58:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3976, loss: 1.3976 +2025-06-04 16:51:13,623 - pyskl - INFO - Epoch [133][900/2353] lr: 8.413e-04, eta: 4:57:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.3907, loss: 1.3907 +2025-06-04 16:51:56,755 - pyskl - INFO - Epoch [133][1000/2353] lr: 8.373e-04, eta: 4:56:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4793, loss: 1.4793 +2025-06-04 16:52:39,832 - pyskl - INFO - Epoch [133][1100/2353] lr: 8.333e-04, eta: 4:56:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.3885, loss: 1.3885 +2025-06-04 16:53:23,028 - pyskl - INFO - Epoch [133][1200/2353] lr: 8.293e-04, eta: 4:55:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.4008, loss: 1.4008 +2025-06-04 16:54:06,243 - pyskl - INFO - Epoch [133][1300/2353] lr: 8.254e-04, eta: 4:54:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.4401, loss: 1.4401 +2025-06-04 16:54:49,302 - pyskl - INFO - Epoch [133][1400/2353] lr: 8.214e-04, eta: 4:54:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4352, loss: 1.4352 +2025-06-04 16:55:32,341 - pyskl - INFO - Epoch [133][1500/2353] lr: 8.174e-04, eta: 4:53:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.4290, loss: 1.4290 +2025-06-04 16:56:15,456 - pyskl - INFO - Epoch [133][1600/2353] lr: 8.135e-04, eta: 4:52:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3807, loss: 1.3807 +2025-06-04 16:56:58,689 - pyskl - INFO - Epoch [133][1700/2353] lr: 8.095e-04, eta: 4:51:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.3892, loss: 1.3892 +2025-06-04 16:57:41,918 - pyskl - INFO - Epoch [133][1800/2353] lr: 8.056e-04, eta: 4:51:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.4169, loss: 1.4169 +2025-06-04 16:58:25,205 - pyskl - INFO - Epoch [133][1900/2353] lr: 8.017e-04, eta: 4:50:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.4514, loss: 1.4514 +2025-06-04 16:59:08,562 - pyskl - INFO - Epoch [133][2000/2353] lr: 7.978e-04, eta: 4:49:47, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.4103, loss: 1.4103 +2025-06-04 16:59:51,774 - pyskl - INFO - Epoch [133][2100/2353] lr: 7.939e-04, eta: 4:49:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.3692, loss: 1.3692 +2025-06-04 17:00:35,051 - pyskl - INFO - Epoch [133][2200/2353] lr: 7.900e-04, eta: 4:48:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 1.4161, loss: 1.4161 +2025-06-04 17:01:18,157 - pyskl - INFO - Epoch [133][2300/2353] lr: 7.861e-04, eta: 4:47:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.4545, loss: 1.4545 +2025-06-04 17:01:41,946 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-06-04 17:03:08,563 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 17:03:08,646 - pyskl - INFO - +top1_acc 0.9643 +top5_acc 0.9960 +2025-06-04 17:03:08,720 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_130.pth was removed +2025-06-04 17:03:09,739 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-06-04 17:03:09,740 - pyskl - INFO - Best top1_acc is 0.9643 at 133 epoch. +2025-06-04 17:03:09,743 - pyskl - INFO - Epoch(val) [133][1184] top1_acc: 0.9643, top5_acc: 0.9960 +2025-06-04 17:04:15,291 - pyskl - INFO - Epoch [134][100/2353] lr: 7.801e-04, eta: 4:46:32, time: 0.655, data_time: 0.219, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.4018, loss: 1.4018 +2025-06-04 17:04:58,784 - pyskl - INFO - Epoch [134][200/2353] lr: 7.763e-04, eta: 4:45:49, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.4247, loss: 1.4247 +2025-06-04 17:05:42,144 - pyskl - INFO - Epoch [134][300/2353] lr: 7.724e-04, eta: 4:45:06, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3751, loss: 1.3751 +2025-06-04 17:06:25,523 - pyskl - INFO - Epoch [134][400/2353] lr: 7.686e-04, eta: 4:44:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.4084, loss: 1.4084 +2025-06-04 17:07:08,799 - pyskl - INFO - Epoch [134][500/2353] lr: 7.647e-04, eta: 4:43:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3673, loss: 1.3673 +2025-06-04 17:07:52,178 - pyskl - INFO - Epoch [134][600/2353] lr: 7.609e-04, eta: 4:42:57, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.4604, loss: 1.4604 +2025-06-04 17:08:35,483 - pyskl - INFO - Epoch [134][700/2353] lr: 7.571e-04, eta: 4:42:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 1.3700, loss: 1.3700 +2025-06-04 17:09:18,637 - pyskl - INFO - Epoch [134][800/2353] lr: 7.533e-04, eta: 4:41:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3753, loss: 1.3753 +2025-06-04 17:10:01,766 - pyskl - INFO - Epoch [134][900/2353] lr: 7.495e-04, eta: 4:40:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3642, loss: 1.3642 +2025-06-04 17:10:44,855 - pyskl - INFO - Epoch [134][1000/2353] lr: 7.457e-04, eta: 4:40:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3871, loss: 1.3871 +2025-06-04 17:11:27,918 - pyskl - INFO - Epoch [134][1100/2353] lr: 7.419e-04, eta: 4:39:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.4056, loss: 1.4056 +2025-06-04 17:12:11,049 - pyskl - INFO - Epoch [134][1200/2353] lr: 7.381e-04, eta: 4:38:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 1.4122, loss: 1.4122 +2025-06-04 17:12:54,238 - pyskl - INFO - Epoch [134][1300/2353] lr: 7.344e-04, eta: 4:37:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 1.3919, loss: 1.3919 +2025-06-04 17:13:37,410 - pyskl - INFO - Epoch [134][1400/2353] lr: 7.306e-04, eta: 4:37:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.4076, loss: 1.4076 +2025-06-04 17:14:20,554 - pyskl - INFO - Epoch [134][1500/2353] lr: 7.269e-04, eta: 4:36:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4323, loss: 1.4323 +2025-06-04 17:15:03,697 - pyskl - INFO - Epoch [134][1600/2353] lr: 7.232e-04, eta: 4:35:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.4314, loss: 1.4314 +2025-06-04 17:15:46,890 - pyskl - INFO - Epoch [134][1700/2353] lr: 7.194e-04, eta: 4:35:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.3847, loss: 1.3847 +2025-06-04 17:16:30,014 - pyskl - INFO - Epoch [134][1800/2353] lr: 7.157e-04, eta: 4:34:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 1.4309, loss: 1.4309 +2025-06-04 17:17:13,270 - pyskl - INFO - Epoch [134][1900/2353] lr: 7.120e-04, eta: 4:33:37, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3842, loss: 1.3842 +2025-06-04 17:17:56,379 - pyskl - INFO - Epoch [134][2000/2353] lr: 7.083e-04, eta: 4:32:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3981, loss: 1.3981 +2025-06-04 17:18:39,577 - pyskl - INFO - Epoch [134][2100/2353] lr: 7.046e-04, eta: 4:32:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.4013, loss: 1.4013 +2025-06-04 17:19:22,711 - pyskl - INFO - Epoch [134][2200/2353] lr: 7.009e-04, eta: 4:31:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9969, loss_cls: 1.3855, loss: 1.3855 +2025-06-04 17:20:05,862 - pyskl - INFO - Epoch [134][2300/2353] lr: 6.973e-04, eta: 4:30:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4292, loss: 1.4292 +2025-06-04 17:20:29,293 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-06-04 17:21:55,567 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 17:21:55,646 - pyskl - INFO - +top1_acc 0.9613 +top5_acc 0.9960 +2025-06-04 17:21:55,649 - pyskl - INFO - Epoch(val) [134][1184] top1_acc: 0.9613, top5_acc: 0.9960 +2025-06-04 17:23:00,168 - pyskl - INFO - Epoch [135][100/2353] lr: 6.917e-04, eta: 4:29:38, time: 0.645, data_time: 0.213, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.3828, loss: 1.3828 +2025-06-04 17:23:43,334 - pyskl - INFO - Epoch [135][200/2353] lr: 6.880e-04, eta: 4:28:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.3873, loss: 1.3873 +2025-06-04 17:24:26,497 - pyskl - INFO - Epoch [135][300/2353] lr: 6.844e-04, eta: 4:28:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 1.4414, loss: 1.4414 +2025-06-04 17:25:09,626 - pyskl - INFO - Epoch [135][400/2353] lr: 6.808e-04, eta: 4:27:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3655, loss: 1.3655 +2025-06-04 17:25:52,837 - pyskl - INFO - Epoch [135][500/2353] lr: 6.772e-04, eta: 4:26:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2886, loss: 1.2886 +2025-06-04 17:26:35,995 - pyskl - INFO - Epoch [135][600/2353] lr: 6.735e-04, eta: 4:26:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.4349, loss: 1.4349 +2025-06-04 17:27:19,087 - pyskl - INFO - Epoch [135][700/2353] lr: 6.699e-04, eta: 4:25:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 1.4034, loss: 1.4034 +2025-06-04 17:28:02,137 - pyskl - INFO - Epoch [135][800/2353] lr: 6.664e-04, eta: 4:24:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3803, loss: 1.3803 +2025-06-04 17:28:45,186 - pyskl - INFO - Epoch [135][900/2353] lr: 6.628e-04, eta: 4:23:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.4214, loss: 1.4214 +2025-06-04 17:29:28,272 - pyskl - INFO - Epoch [135][1000/2353] lr: 6.592e-04, eta: 4:23:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.4039, loss: 1.4039 +2025-06-04 17:30:11,314 - pyskl - INFO - Epoch [135][1100/2353] lr: 6.556e-04, eta: 4:22:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.3606, loss: 1.3606 +2025-06-04 17:30:54,369 - pyskl - INFO - Epoch [135][1200/2353] lr: 6.521e-04, eta: 4:21:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.3745, loss: 1.3745 +2025-06-04 17:31:37,275 - pyskl - INFO - Epoch [135][1300/2353] lr: 6.486e-04, eta: 4:21:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3659, loss: 1.3659 +2025-06-04 17:32:20,310 - pyskl - INFO - Epoch [135][1400/2353] lr: 6.450e-04, eta: 4:20:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 1.4646, loss: 1.4646 +2025-06-04 17:33:03,419 - pyskl - INFO - Epoch [135][1500/2353] lr: 6.415e-04, eta: 4:19:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.4039, loss: 1.4039 +2025-06-04 17:33:46,470 - pyskl - INFO - Epoch [135][1600/2353] lr: 6.380e-04, eta: 4:18:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3691, loss: 1.3691 +2025-06-04 17:34:29,642 - pyskl - INFO - Epoch [135][1700/2353] lr: 6.345e-04, eta: 4:18:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.3549, loss: 1.3549 +2025-06-04 17:35:12,656 - pyskl - INFO - Epoch [135][1800/2353] lr: 6.310e-04, eta: 4:17:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 1.3238, loss: 1.3238 +2025-06-04 17:35:55,171 - pyskl - INFO - Epoch [135][1900/2353] lr: 6.275e-04, eta: 4:16:43, time: 0.425, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3744, loss: 1.3744 +2025-06-04 17:36:38,015 - pyskl - INFO - Epoch [135][2000/2353] lr: 6.240e-04, eta: 4:16:00, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.3849, loss: 1.3849 +2025-06-04 17:37:21,100 - pyskl - INFO - Epoch [135][2100/2353] lr: 6.206e-04, eta: 4:15:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3158, loss: 1.3158 +2025-06-04 17:38:04,039 - pyskl - INFO - Epoch [135][2200/2353] lr: 6.171e-04, eta: 4:14:33, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3603, loss: 1.3603 +2025-06-04 17:38:46,929 - pyskl - INFO - Epoch [135][2300/2353] lr: 6.137e-04, eta: 4:13:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9988, loss_cls: 1.3534, loss: 1.3534 +2025-06-04 17:39:10,272 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-06-04 17:48:05,658 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 17:48:05,732 - pyskl - INFO - +top1_acc 0.9656 +top5_acc 0.9959 +2025-06-04 17:48:05,783 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_133.pth was removed +2025-06-04 17:48:06,815 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2025-06-04 17:48:06,815 - pyskl - INFO - Best top1_acc is 0.9656 at 135 epoch. +2025-06-04 17:48:06,818 - pyskl - INFO - Epoch(val) [135][1184] top1_acc: 0.9656, top5_acc: 0.9959 +2025-06-04 17:49:10,334 - pyskl - INFO - Epoch [136][100/2353] lr: 6.084e-04, eta: 4:12:44, time: 0.635, data_time: 0.204, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.3486, loss: 1.3486 +2025-06-04 17:49:53,415 - pyskl - INFO - Epoch [136][200/2353] lr: 6.050e-04, eta: 4:12:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3607, loss: 1.3607 +2025-06-04 17:50:36,405 - pyskl - INFO - Epoch [136][300/2353] lr: 6.016e-04, eta: 4:11:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3368, loss: 1.3368 +2025-06-04 17:51:19,316 - pyskl - INFO - Epoch [136][400/2353] lr: 5.982e-04, eta: 4:10:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3446, loss: 1.3446 +2025-06-04 17:52:02,367 - pyskl - INFO - Epoch [136][500/2353] lr: 5.948e-04, eta: 4:09:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3428, loss: 1.3428 +2025-06-04 17:52:45,449 - pyskl - INFO - Epoch [136][600/2353] lr: 5.914e-04, eta: 4:09:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.4151, loss: 1.4151 +2025-06-04 17:53:28,553 - pyskl - INFO - Epoch [136][700/2353] lr: 5.880e-04, eta: 4:08:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.3752, loss: 1.3752 +2025-06-04 17:54:11,546 - pyskl - INFO - Epoch [136][800/2353] lr: 5.846e-04, eta: 4:07:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.3798, loss: 1.3798 +2025-06-04 17:54:54,467 - pyskl - INFO - Epoch [136][900/2353] lr: 5.813e-04, eta: 4:06:59, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3814, loss: 1.3814 +2025-06-04 17:55:37,385 - pyskl - INFO - Epoch [136][1000/2353] lr: 5.779e-04, eta: 4:06:16, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.3444, loss: 1.3444 +2025-06-04 17:56:20,438 - pyskl - INFO - Epoch [136][1100/2353] lr: 5.746e-04, eta: 4:05:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.3385, loss: 1.3385 +2025-06-04 17:57:03,585 - pyskl - INFO - Epoch [136][1200/2353] lr: 5.712e-04, eta: 4:04:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.3616, loss: 1.3616 +2025-06-04 17:57:46,720 - pyskl - INFO - Epoch [136][1300/2353] lr: 5.679e-04, eta: 4:04:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3719, loss: 1.3719 +2025-06-04 17:58:29,799 - pyskl - INFO - Epoch [136][1400/2353] lr: 5.646e-04, eta: 4:03:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 1.3683, loss: 1.3683 +2025-06-04 17:59:12,980 - pyskl - INFO - Epoch [136][1500/2353] lr: 5.613e-04, eta: 4:02:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.3614, loss: 1.3614 +2025-06-04 17:59:55,934 - pyskl - INFO - Epoch [136][1600/2353] lr: 5.580e-04, eta: 4:01:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3438, loss: 1.3438 +2025-06-04 18:00:39,099 - pyskl - INFO - Epoch [136][1700/2353] lr: 5.547e-04, eta: 4:01:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3724, loss: 1.3724 +2025-06-04 18:01:22,542 - pyskl - INFO - Epoch [136][1800/2353] lr: 5.515e-04, eta: 4:00:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3405, loss: 1.3405 +2025-06-04 18:02:05,658 - pyskl - INFO - Epoch [136][1900/2353] lr: 5.482e-04, eta: 3:59:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3113, loss: 1.3113 +2025-06-04 18:02:48,793 - pyskl - INFO - Epoch [136][2000/2353] lr: 5.449e-04, eta: 3:59:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.3274, loss: 1.3274 +2025-06-04 18:03:31,941 - pyskl - INFO - Epoch [136][2100/2353] lr: 5.417e-04, eta: 3:58:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 1.3888, loss: 1.3888 +2025-06-04 18:04:15,086 - pyskl - INFO - Epoch [136][2200/2353] lr: 5.385e-04, eta: 3:57:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3731, loss: 1.3731 +2025-06-04 18:04:58,276 - pyskl - INFO - Epoch [136][2300/2353] lr: 5.352e-04, eta: 3:56:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3695, loss: 1.3695 +2025-06-04 18:05:21,713 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-06-04 18:06:47,433 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 18:06:47,507 - pyskl - INFO - +top1_acc 0.9647 +top5_acc 0.9961 +2025-06-04 18:06:47,511 - pyskl - INFO - Epoch(val) [136][1184] top1_acc: 0.9647, top5_acc: 0.9961 +2025-06-04 18:07:50,943 - pyskl - INFO - Epoch [137][100/2353] lr: 5.303e-04, eta: 3:55:50, time: 0.634, data_time: 0.200, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3803, loss: 1.3803 +2025-06-04 18:08:34,077 - pyskl - INFO - Epoch [137][200/2353] lr: 5.271e-04, eta: 3:55:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.3567, loss: 1.3567 +2025-06-04 18:09:17,193 - pyskl - INFO - Epoch [137][300/2353] lr: 5.239e-04, eta: 3:54:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.3532, loss: 1.3532 +2025-06-04 18:10:00,325 - pyskl - INFO - Epoch [137][400/2353] lr: 5.208e-04, eta: 3:53:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.3540, loss: 1.3540 +2025-06-04 18:10:43,389 - pyskl - INFO - Epoch [137][500/2353] lr: 5.176e-04, eta: 3:52:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.3603, loss: 1.3603 +2025-06-04 18:11:26,402 - pyskl - INFO - Epoch [137][600/2353] lr: 5.144e-04, eta: 3:52:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.3257, loss: 1.3257 +2025-06-04 18:12:09,457 - pyskl - INFO - Epoch [137][700/2353] lr: 5.113e-04, eta: 3:51:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.3738, loss: 1.3738 +2025-06-04 18:12:52,525 - pyskl - INFO - Epoch [137][800/2353] lr: 5.081e-04, eta: 3:50:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3538, loss: 1.3538 +2025-06-04 18:13:35,625 - pyskl - INFO - Epoch [137][900/2353] lr: 5.050e-04, eta: 3:50:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3290, loss: 1.3290 +2025-06-04 18:14:18,722 - pyskl - INFO - Epoch [137][1000/2353] lr: 5.019e-04, eta: 3:49:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2821, loss: 1.2821 +2025-06-04 18:15:01,782 - pyskl - INFO - Epoch [137][1100/2353] lr: 4.987e-04, eta: 3:48:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.3688, loss: 1.3688 +2025-06-04 18:15:44,813 - pyskl - INFO - Epoch [137][1200/2353] lr: 4.956e-04, eta: 3:47:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.3481, loss: 1.3481 +2025-06-04 18:16:27,871 - pyskl - INFO - Epoch [137][1300/2353] lr: 4.925e-04, eta: 3:47:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3741, loss: 1.3741 +2025-06-04 18:17:10,838 - pyskl - INFO - Epoch [137][1400/2353] lr: 4.894e-04, eta: 3:46:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2891, loss: 1.2891 +2025-06-04 18:17:53,928 - pyskl - INFO - Epoch [137][1500/2353] lr: 4.864e-04, eta: 3:45:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3626, loss: 1.3626 +2025-06-04 18:18:36,934 - pyskl - INFO - Epoch [137][1600/2353] lr: 4.833e-04, eta: 3:45:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 1.3505, loss: 1.3505 +2025-06-04 18:19:19,911 - pyskl - INFO - Epoch [137][1700/2353] lr: 4.802e-04, eta: 3:44:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3263, loss: 1.3263 +2025-06-04 18:20:02,942 - pyskl - INFO - Epoch [137][1800/2353] lr: 4.772e-04, eta: 3:43:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.3327, loss: 1.3327 +2025-06-04 18:20:46,005 - pyskl - INFO - Epoch [137][1900/2353] lr: 4.742e-04, eta: 3:42:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.4044, loss: 1.4044 +2025-06-04 18:21:29,209 - pyskl - INFO - Epoch [137][2000/2353] lr: 4.711e-04, eta: 3:42:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.3753, loss: 1.3753 +2025-06-04 18:22:12,362 - pyskl - INFO - Epoch [137][2100/2353] lr: 4.681e-04, eta: 3:41:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3222, loss: 1.3222 +2025-06-04 18:22:55,504 - pyskl - INFO - Epoch [137][2200/2353] lr: 4.651e-04, eta: 3:40:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2959, loss: 1.2959 +2025-06-04 18:23:38,712 - pyskl - INFO - Epoch [137][2300/2353] lr: 4.621e-04, eta: 3:40:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3566, loss: 1.3566 +2025-06-04 18:24:02,160 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-06-04 18:25:27,778 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 18:25:27,858 - pyskl - INFO - +top1_acc 0.9651 +top5_acc 0.9966 +2025-06-04 18:25:27,862 - pyskl - INFO - Epoch(val) [137][1184] top1_acc: 0.9651, top5_acc: 0.9966 +2025-06-04 18:26:32,720 - pyskl - INFO - Epoch [138][100/2353] lr: 4.575e-04, eta: 3:38:56, time: 0.649, data_time: 0.215, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3387, loss: 1.3387 +2025-06-04 18:27:15,913 - pyskl - INFO - Epoch [138][200/2353] lr: 4.545e-04, eta: 3:38:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3048, loss: 1.3048 +2025-06-04 18:27:59,047 - pyskl - INFO - Epoch [138][300/2353] lr: 4.516e-04, eta: 3:37:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2995, loss: 1.2995 +2025-06-04 18:28:42,118 - pyskl - INFO - Epoch [138][400/2353] lr: 4.486e-04, eta: 3:36:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3059, loss: 1.3059 +2025-06-04 18:29:25,161 - pyskl - INFO - Epoch [138][500/2353] lr: 4.457e-04, eta: 3:36:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3365, loss: 1.3365 +2025-06-04 18:30:08,238 - pyskl - INFO - Epoch [138][600/2353] lr: 4.427e-04, eta: 3:35:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.3170, loss: 1.3170 +2025-06-04 18:30:51,245 - pyskl - INFO - Epoch [138][700/2353] lr: 4.398e-04, eta: 3:34:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 1.3111, loss: 1.3111 +2025-06-04 18:31:34,248 - pyskl - INFO - Epoch [138][800/2353] lr: 4.369e-04, eta: 3:33:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3369, loss: 1.3369 +2025-06-04 18:32:17,271 - pyskl - INFO - Epoch [138][900/2353] lr: 4.340e-04, eta: 3:33:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3323, loss: 1.3323 +2025-06-04 18:33:00,327 - pyskl - INFO - Epoch [138][1000/2353] lr: 4.311e-04, eta: 3:32:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 1.3296, loss: 1.3296 +2025-06-04 18:33:43,384 - pyskl - INFO - Epoch [138][1100/2353] lr: 4.282e-04, eta: 3:31:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.3760, loss: 1.3760 +2025-06-04 18:34:26,402 - pyskl - INFO - Epoch [138][1200/2353] lr: 4.253e-04, eta: 3:31:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.3457, loss: 1.3457 +2025-06-04 18:35:09,477 - pyskl - INFO - Epoch [138][1300/2353] lr: 4.224e-04, eta: 3:30:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2741, loss: 1.2741 +2025-06-04 18:35:52,534 - pyskl - INFO - Epoch [138][1400/2353] lr: 4.195e-04, eta: 3:29:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3326, loss: 1.3326 +2025-06-04 18:36:35,651 - pyskl - INFO - Epoch [138][1500/2353] lr: 4.167e-04, eta: 3:28:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9981, loss_cls: 1.2925, loss: 1.2925 +2025-06-04 18:37:18,777 - pyskl - INFO - Epoch [138][1600/2353] lr: 4.138e-04, eta: 3:28:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3231, loss: 1.3231 +2025-06-04 18:38:01,903 - pyskl - INFO - Epoch [138][1700/2353] lr: 4.110e-04, eta: 3:27:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3521, loss: 1.3521 +2025-06-04 18:38:44,801 - pyskl - INFO - Epoch [138][1800/2353] lr: 4.082e-04, eta: 3:26:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3442, loss: 1.3442 +2025-06-04 18:39:28,014 - pyskl - INFO - Epoch [138][1900/2353] lr: 4.054e-04, eta: 3:26:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 1.3306, loss: 1.3306 +2025-06-04 18:40:11,198 - pyskl - INFO - Epoch [138][2000/2353] lr: 4.026e-04, eta: 3:25:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3057, loss: 1.3057 +2025-06-04 18:40:54,628 - pyskl - INFO - Epoch [138][2100/2353] lr: 3.998e-04, eta: 3:24:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3201, loss: 1.3201 +2025-06-04 18:41:37,802 - pyskl - INFO - Epoch [138][2200/2353] lr: 3.970e-04, eta: 3:23:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3056, loss: 1.3056 +2025-06-04 18:42:20,922 - pyskl - INFO - Epoch [138][2300/2353] lr: 3.942e-04, eta: 3:23:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3347, loss: 1.3347 +2025-06-04 18:42:44,335 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-06-04 18:44:10,395 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 18:44:10,470 - pyskl - INFO - +top1_acc 0.9659 +top5_acc 0.9962 +2025-06-04 18:44:10,526 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_135.pth was removed +2025-06-04 18:44:11,583 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2025-06-04 18:44:11,584 - pyskl - INFO - Best top1_acc is 0.9659 at 138 epoch. +2025-06-04 18:44:11,587 - pyskl - INFO - Epoch(val) [138][1184] top1_acc: 0.9659, top5_acc: 0.9962 +2025-06-04 18:45:15,269 - pyskl - INFO - Epoch [139][100/2353] lr: 3.900e-04, eta: 3:22:02, time: 0.637, data_time: 0.206, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3073, loss: 1.3073 +2025-06-04 18:45:58,357 - pyskl - INFO - Epoch [139][200/2353] lr: 3.872e-04, eta: 3:21:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.3276, loss: 1.3276 +2025-06-04 18:46:41,427 - pyskl - INFO - Epoch [139][300/2353] lr: 3.845e-04, eta: 3:20:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3230, loss: 1.3230 +2025-06-04 18:47:24,461 - pyskl - INFO - Epoch [139][400/2353] lr: 3.817e-04, eta: 3:19:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3352, loss: 1.3352 +2025-06-04 18:48:07,658 - pyskl - INFO - Epoch [139][500/2353] lr: 3.790e-04, eta: 3:19:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3127, loss: 1.3127 +2025-06-04 18:48:50,723 - pyskl - INFO - Epoch [139][600/2353] lr: 3.763e-04, eta: 3:18:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 1.3479, loss: 1.3479 +2025-06-04 18:49:33,867 - pyskl - INFO - Epoch [139][700/2353] lr: 3.736e-04, eta: 3:17:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.3040, loss: 1.3040 +2025-06-04 18:50:16,948 - pyskl - INFO - Epoch [139][800/2353] lr: 3.709e-04, eta: 3:17:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.2963, loss: 1.2963 +2025-06-04 18:51:00,052 - pyskl - INFO - Epoch [139][900/2353] lr: 3.682e-04, eta: 3:16:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3069, loss: 1.3069 +2025-06-04 18:51:43,206 - pyskl - INFO - Epoch [139][1000/2353] lr: 3.655e-04, eta: 3:15:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.3227, loss: 1.3227 +2025-06-04 18:52:26,317 - pyskl - INFO - Epoch [139][1100/2353] lr: 3.629e-04, eta: 3:14:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3053, loss: 1.3053 +2025-06-04 18:53:09,358 - pyskl - INFO - Epoch [139][1200/2353] lr: 3.602e-04, eta: 3:14:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3615, loss: 1.3615 +2025-06-04 18:53:52,474 - pyskl - INFO - Epoch [139][1300/2353] lr: 3.576e-04, eta: 3:13:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2980, loss: 1.2980 +2025-06-04 18:54:35,549 - pyskl - INFO - Epoch [139][1400/2353] lr: 3.549e-04, eta: 3:12:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3384, loss: 1.3384 +2025-06-04 18:55:18,582 - pyskl - INFO - Epoch [139][1500/2353] lr: 3.523e-04, eta: 3:11:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 1.3532, loss: 1.3532 +2025-06-04 18:56:01,620 - pyskl - INFO - Epoch [139][1600/2353] lr: 3.497e-04, eta: 3:11:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.3297, loss: 1.3297 +2025-06-04 18:56:44,695 - pyskl - INFO - Epoch [139][1700/2353] lr: 3.471e-04, eta: 3:10:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.3233, loss: 1.3233 +2025-06-04 18:57:27,800 - pyskl - INFO - Epoch [139][1800/2353] lr: 3.445e-04, eta: 3:09:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3660, loss: 1.3660 +2025-06-04 18:58:10,920 - pyskl - INFO - Epoch [139][1900/2353] lr: 3.419e-04, eta: 3:09:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2956, loss: 1.2956 +2025-06-04 18:58:54,395 - pyskl - INFO - Epoch [139][2000/2353] lr: 3.393e-04, eta: 3:08:24, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 1.3081, loss: 1.3081 +2025-06-04 18:59:37,782 - pyskl - INFO - Epoch [139][2100/2353] lr: 3.367e-04, eta: 3:07:40, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.3490, loss: 1.3490 +2025-06-04 19:00:20,940 - pyskl - INFO - Epoch [139][2200/2353] lr: 3.342e-04, eta: 3:06:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.3326, loss: 1.3326 +2025-06-04 19:01:04,068 - pyskl - INFO - Epoch [139][2300/2353] lr: 3.316e-04, eta: 3:06:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2933, loss: 1.2933 +2025-06-04 19:01:27,273 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-06-04 19:02:52,921 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 19:02:52,998 - pyskl - INFO - +top1_acc 0.9660 +top5_acc 0.9956 +2025-06-04 19:02:53,052 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_138.pth was removed +2025-06-04 19:02:54,045 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2025-06-04 19:02:54,046 - pyskl - INFO - Best top1_acc is 0.9660 at 139 epoch. +2025-06-04 19:02:54,048 - pyskl - INFO - Epoch(val) [139][1184] top1_acc: 0.9660, top5_acc: 0.9956 +2025-06-04 19:03:57,211 - pyskl - INFO - Epoch [140][100/2353] lr: 3.278e-04, eta: 3:05:08, time: 0.632, data_time: 0.202, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.3155, loss: 1.3155 +2025-06-04 19:04:40,269 - pyskl - INFO - Epoch [140][200/2353] lr: 3.252e-04, eta: 3:04:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3035, loss: 1.3035 +2025-06-04 19:05:23,282 - pyskl - INFO - Epoch [140][300/2353] lr: 3.227e-04, eta: 3:03:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.3361, loss: 1.3361 +2025-06-04 19:06:06,446 - pyskl - INFO - Epoch [140][400/2353] lr: 3.202e-04, eta: 3:02:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2880, loss: 1.2880 +2025-06-04 19:06:49,649 - pyskl - INFO - Epoch [140][500/2353] lr: 3.177e-04, eta: 3:02:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2882, loss: 1.2882 +2025-06-04 19:07:32,892 - pyskl - INFO - Epoch [140][600/2353] lr: 3.152e-04, eta: 3:01:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3159, loss: 1.3159 +2025-06-04 19:08:15,884 - pyskl - INFO - Epoch [140][700/2353] lr: 3.127e-04, eta: 3:00:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.3255, loss: 1.3255 +2025-06-04 19:08:59,176 - pyskl - INFO - Epoch [140][800/2353] lr: 3.103e-04, eta: 3:00:07, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2509, loss: 1.2509 +2025-06-04 19:09:42,367 - pyskl - INFO - Epoch [140][900/2353] lr: 3.078e-04, eta: 2:59:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2647, loss: 1.2647 +2025-06-04 19:10:25,479 - pyskl - INFO - Epoch [140][1000/2353] lr: 3.054e-04, eta: 2:58:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3158, loss: 1.3158 +2025-06-04 19:11:08,579 - pyskl - INFO - Epoch [140][1100/2353] lr: 3.029e-04, eta: 2:57:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2897, loss: 1.2897 +2025-06-04 19:11:51,646 - pyskl - INFO - Epoch [140][1200/2353] lr: 3.005e-04, eta: 2:57:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3401, loss: 1.3401 +2025-06-04 19:12:34,763 - pyskl - INFO - Epoch [140][1300/2353] lr: 2.981e-04, eta: 2:56:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 1.2901, loss: 1.2901 +2025-06-04 19:13:17,981 - pyskl - INFO - Epoch [140][1400/2353] lr: 2.957e-04, eta: 2:55:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2870, loss: 1.2870 +2025-06-04 19:14:01,277 - pyskl - INFO - Epoch [140][1500/2353] lr: 2.933e-04, eta: 2:55:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 1.3397, loss: 1.3397 +2025-06-04 19:14:44,374 - pyskl - INFO - Epoch [140][1600/2353] lr: 2.909e-04, eta: 2:54:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2562, loss: 1.2562 +2025-06-04 19:15:27,503 - pyskl - INFO - Epoch [140][1700/2353] lr: 2.885e-04, eta: 2:53:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3120, loss: 1.3120 +2025-06-04 19:16:10,612 - pyskl - INFO - Epoch [140][1800/2353] lr: 2.861e-04, eta: 2:52:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3066, loss: 1.3066 +2025-06-04 19:16:53,655 - pyskl - INFO - Epoch [140][1900/2353] lr: 2.838e-04, eta: 2:52:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.2700, loss: 1.2700 +2025-06-04 19:17:36,728 - pyskl - INFO - Epoch [140][2000/2353] lr: 2.814e-04, eta: 2:51:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2728, loss: 1.2728 +2025-06-04 19:18:19,758 - pyskl - INFO - Epoch [140][2100/2353] lr: 2.791e-04, eta: 2:50:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3182, loss: 1.3182 +2025-06-04 19:19:02,762 - pyskl - INFO - Epoch [140][2200/2353] lr: 2.767e-04, eta: 2:50:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 1.2652, loss: 1.2652 +2025-06-04 19:19:45,772 - pyskl - INFO - Epoch [140][2300/2353] lr: 2.744e-04, eta: 2:49:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3153, loss: 1.3153 +2025-06-04 19:20:09,105 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-06-04 19:29:31,294 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 19:29:31,369 - pyskl - INFO - +top1_acc 0.9664 +top5_acc 0.9956 +2025-06-04 19:29:31,423 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_139.pth was removed +2025-06-04 19:29:32,434 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_140.pth. +2025-06-04 19:29:32,434 - pyskl - INFO - Best top1_acc is 0.9664 at 140 epoch. +2025-06-04 19:29:32,437 - pyskl - INFO - Epoch(val) [140][1184] top1_acc: 0.9664, top5_acc: 0.9956 +2025-06-04 19:30:36,062 - pyskl - INFO - Epoch [141][100/2353] lr: 2.709e-04, eta: 2:48:14, time: 0.636, data_time: 0.206, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.3057, loss: 1.3057 +2025-06-04 19:31:19,210 - pyskl - INFO - Epoch [141][200/2353] lr: 2.686e-04, eta: 2:47:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.2851, loss: 1.2851 +2025-06-04 19:32:02,394 - pyskl - INFO - Epoch [141][300/2353] lr: 2.663e-04, eta: 2:46:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3545, loss: 1.3545 +2025-06-04 19:32:45,486 - pyskl - INFO - Epoch [141][400/2353] lr: 2.640e-04, eta: 2:46:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2689, loss: 1.2689 +2025-06-04 19:33:28,514 - pyskl - INFO - Epoch [141][500/2353] lr: 2.617e-04, eta: 2:45:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3208, loss: 1.3208 +2025-06-04 19:34:11,621 - pyskl - INFO - Epoch [141][600/2353] lr: 2.595e-04, eta: 2:44:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3176, loss: 1.3176 +2025-06-04 19:34:54,752 - pyskl - INFO - Epoch [141][700/2353] lr: 2.572e-04, eta: 2:43:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.3155, loss: 1.3155 +2025-06-04 19:35:37,854 - pyskl - INFO - Epoch [141][800/2353] lr: 2.550e-04, eta: 2:43:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2790, loss: 1.2790 +2025-06-04 19:36:20,928 - pyskl - INFO - Epoch [141][900/2353] lr: 2.528e-04, eta: 2:42:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2707, loss: 1.2707 +2025-06-04 19:37:04,061 - pyskl - INFO - Epoch [141][1000/2353] lr: 2.505e-04, eta: 2:41:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.2864, loss: 1.2864 +2025-06-04 19:37:47,029 - pyskl - INFO - Epoch [141][1100/2353] lr: 2.483e-04, eta: 2:41:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3061, loss: 1.3061 +2025-06-04 19:38:30,048 - pyskl - INFO - Epoch [141][1200/2353] lr: 2.461e-04, eta: 2:40:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3104, loss: 1.3104 +2025-06-04 19:39:13,041 - pyskl - INFO - Epoch [141][1300/2353] lr: 2.439e-04, eta: 2:39:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.3024, loss: 1.3024 +2025-06-04 19:39:56,099 - pyskl - INFO - Epoch [141][1400/2353] lr: 2.417e-04, eta: 2:38:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2785, loss: 1.2785 +2025-06-04 19:40:39,149 - pyskl - INFO - Epoch [141][1500/2353] lr: 2.396e-04, eta: 2:38:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2780, loss: 1.2780 +2025-06-04 19:41:22,210 - pyskl - INFO - Epoch [141][1600/2353] lr: 2.374e-04, eta: 2:37:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.3309, loss: 1.3309 +2025-06-04 19:42:05,253 - pyskl - INFO - Epoch [141][1700/2353] lr: 2.353e-04, eta: 2:36:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2954, loss: 1.2954 +2025-06-04 19:42:48,360 - pyskl - INFO - Epoch [141][1800/2353] lr: 2.331e-04, eta: 2:36:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 1.3299, loss: 1.3299 +2025-06-04 19:43:31,613 - pyskl - INFO - Epoch [141][1900/2353] lr: 2.310e-04, eta: 2:35:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2452, loss: 1.2452 +2025-06-04 19:44:14,793 - pyskl - INFO - Epoch [141][2000/2353] lr: 2.289e-04, eta: 2:34:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3267, loss: 1.3267 +2025-06-04 19:44:57,984 - pyskl - INFO - Epoch [141][2100/2353] lr: 2.267e-04, eta: 2:33:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2891, loss: 1.2891 +2025-06-04 19:45:41,049 - pyskl - INFO - Epoch [141][2200/2353] lr: 2.246e-04, eta: 2:33:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 1.3021, loss: 1.3021 +2025-06-04 19:46:24,025 - pyskl - INFO - Epoch [141][2300/2353] lr: 2.225e-04, eta: 2:32:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3098, loss: 1.3098 +2025-06-04 19:46:47,403 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-06-04 19:48:12,891 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 19:48:12,965 - pyskl - INFO - +top1_acc 0.9651 +top5_acc 0.9958 +2025-06-04 19:48:12,969 - pyskl - INFO - Epoch(val) [141][1184] top1_acc: 0.9651, top5_acc: 0.9958 +2025-06-04 19:49:16,787 - pyskl - INFO - Epoch [142][100/2353] lr: 2.194e-04, eta: 2:31:20, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 1.3009, loss: 1.3009 +2025-06-04 19:49:59,946 - pyskl - INFO - Epoch [142][200/2353] lr: 2.173e-04, eta: 2:30:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3094, loss: 1.3094 +2025-06-04 19:50:42,962 - pyskl - INFO - Epoch [142][300/2353] lr: 2.152e-04, eta: 2:29:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.2874, loss: 1.2874 +2025-06-04 19:51:26,038 - pyskl - INFO - Epoch [142][400/2353] lr: 2.132e-04, eta: 2:29:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.2563, loss: 1.2563 +2025-06-04 19:52:09,080 - pyskl - INFO - Epoch [142][500/2353] lr: 2.111e-04, eta: 2:28:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2499, loss: 1.2499 +2025-06-04 19:52:52,177 - pyskl - INFO - Epoch [142][600/2353] lr: 2.091e-04, eta: 2:27:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3102, loss: 1.3102 +2025-06-04 19:53:35,193 - pyskl - INFO - Epoch [142][700/2353] lr: 2.071e-04, eta: 2:27:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.3292, loss: 1.3292 +2025-06-04 19:54:18,240 - pyskl - INFO - Epoch [142][800/2353] lr: 2.051e-04, eta: 2:26:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3345, loss: 1.3345 +2025-06-04 19:55:01,382 - pyskl - INFO - Epoch [142][900/2353] lr: 2.031e-04, eta: 2:25:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2998, loss: 1.2998 +2025-06-04 19:55:44,528 - pyskl - INFO - Epoch [142][1000/2353] lr: 2.011e-04, eta: 2:24:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 1.2794, loss: 1.2794 +2025-06-04 19:56:27,646 - pyskl - INFO - Epoch [142][1100/2353] lr: 1.991e-04, eta: 2:24:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2848, loss: 1.2848 +2025-06-04 19:57:10,926 - pyskl - INFO - Epoch [142][1200/2353] lr: 1.971e-04, eta: 2:23:26, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2474, loss: 1.2474 +2025-06-04 19:57:53,950 - pyskl - INFO - Epoch [142][1300/2353] lr: 1.951e-04, eta: 2:22:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9975, loss_cls: 1.2576, loss: 1.2576 +2025-06-04 19:58:37,015 - pyskl - INFO - Epoch [142][1400/2353] lr: 1.932e-04, eta: 2:22:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.3002, loss: 1.3002 +2025-06-04 19:59:20,107 - pyskl - INFO - Epoch [142][1500/2353] lr: 1.913e-04, eta: 2:21:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2999, loss: 1.2999 +2025-06-04 20:00:03,181 - pyskl - INFO - Epoch [142][1600/2353] lr: 1.893e-04, eta: 2:20:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2907, loss: 1.2907 +2025-06-04 20:00:46,252 - pyskl - INFO - Epoch [142][1700/2353] lr: 1.874e-04, eta: 2:19:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2671, loss: 1.2671 +2025-06-04 20:01:29,249 - pyskl - INFO - Epoch [142][1800/2353] lr: 1.855e-04, eta: 2:19:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2274, loss: 1.2274 +2025-06-04 20:02:12,434 - pyskl - INFO - Epoch [142][1900/2353] lr: 1.836e-04, eta: 2:18:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2658, loss: 1.2658 +2025-06-04 20:02:55,523 - pyskl - INFO - Epoch [142][2000/2353] lr: 1.817e-04, eta: 2:17:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.3259, loss: 1.3259 +2025-06-04 20:03:38,689 - pyskl - INFO - Epoch [142][2100/2353] lr: 1.798e-04, eta: 2:16:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.2914, loss: 1.2914 +2025-06-04 20:04:21,647 - pyskl - INFO - Epoch [142][2200/2353] lr: 1.779e-04, eta: 2:16:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2581, loss: 1.2581 +2025-06-04 20:05:04,576 - pyskl - INFO - Epoch [142][2300/2353] lr: 1.761e-04, eta: 2:15:32, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3152, loss: 1.3152 +2025-06-04 20:05:27,942 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-06-04 20:06:53,518 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 20:06:53,593 - pyskl - INFO - +top1_acc 0.9681 +top5_acc 0.9962 +2025-06-04 20:06:53,646 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_140.pth was removed +2025-06-04 20:06:54,691 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. +2025-06-04 20:06:54,692 - pyskl - INFO - Best top1_acc is 0.9681 at 142 epoch. +2025-06-04 20:06:54,695 - pyskl - INFO - Epoch(val) [142][1184] top1_acc: 0.9681, top5_acc: 0.9962 +2025-06-04 20:07:58,175 - pyskl - INFO - Epoch [143][100/2353] lr: 1.732e-04, eta: 2:14:26, time: 0.635, data_time: 0.202, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2441, loss: 1.2441 +2025-06-04 20:08:41,284 - pyskl - INFO - Epoch [143][200/2353] lr: 1.714e-04, eta: 2:13:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9975, loss_cls: 1.2693, loss: 1.2693 +2025-06-04 20:09:24,440 - pyskl - INFO - Epoch [143][300/2353] lr: 1.695e-04, eta: 2:13:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2949, loss: 1.2949 +2025-06-04 20:10:07,578 - pyskl - INFO - Epoch [143][400/2353] lr: 1.677e-04, eta: 2:12:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.3213, loss: 1.3213 +2025-06-04 20:10:50,673 - pyskl - INFO - Epoch [143][500/2353] lr: 1.659e-04, eta: 2:11:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2282, loss: 1.2282 +2025-06-04 20:11:33,788 - pyskl - INFO - Epoch [143][600/2353] lr: 1.641e-04, eta: 2:10:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.3606, loss: 1.3606 +2025-06-04 20:12:16,867 - pyskl - INFO - Epoch [143][700/2353] lr: 1.623e-04, eta: 2:10:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3047, loss: 1.3047 +2025-06-04 20:13:00,005 - pyskl - INFO - Epoch [143][800/2353] lr: 1.605e-04, eta: 2:09:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2603, loss: 1.2603 +2025-06-04 20:13:43,171 - pyskl - INFO - Epoch [143][900/2353] lr: 1.588e-04, eta: 2:08:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2823, loss: 1.2823 +2025-06-04 20:14:26,268 - pyskl - INFO - Epoch [143][1000/2353] lr: 1.570e-04, eta: 2:07:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.3117, loss: 1.3117 +2025-06-04 20:15:09,282 - pyskl - INFO - Epoch [143][1100/2353] lr: 1.552e-04, eta: 2:07:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3004, loss: 1.3004 +2025-06-04 20:15:52,389 - pyskl - INFO - Epoch [143][1200/2353] lr: 1.535e-04, eta: 2:06:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2598, loss: 1.2598 +2025-06-04 20:16:35,490 - pyskl - INFO - Epoch [143][1300/2353] lr: 1.518e-04, eta: 2:05:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2200, loss: 1.2200 +2025-06-04 20:17:18,662 - pyskl - INFO - Epoch [143][1400/2353] lr: 1.500e-04, eta: 2:05:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2700, loss: 1.2700 +2025-06-04 20:18:01,881 - pyskl - INFO - Epoch [143][1500/2353] lr: 1.483e-04, eta: 2:04:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2344, loss: 1.2344 +2025-06-04 20:18:44,892 - pyskl - INFO - Epoch [143][1600/2353] lr: 1.466e-04, eta: 2:03:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2712, loss: 1.2712 +2025-06-04 20:19:27,951 - pyskl - INFO - Epoch [143][1700/2353] lr: 1.449e-04, eta: 2:02:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2696, loss: 1.2696 +2025-06-04 20:20:11,168 - pyskl - INFO - Epoch [143][1800/2353] lr: 1.433e-04, eta: 2:02:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.2969, loss: 1.2969 +2025-06-04 20:20:54,418 - pyskl - INFO - Epoch [143][1900/2353] lr: 1.416e-04, eta: 2:01:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 1.2738, loss: 1.2738 +2025-06-04 20:21:37,609 - pyskl - INFO - Epoch [143][2000/2353] lr: 1.399e-04, eta: 2:00:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2960, loss: 1.2960 +2025-06-04 20:22:20,716 - pyskl - INFO - Epoch [143][2100/2353] lr: 1.383e-04, eta: 2:00:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2673, loss: 1.2673 +2025-06-04 20:23:03,755 - pyskl - INFO - Epoch [143][2200/2353] lr: 1.366e-04, eta: 1:59:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2793, loss: 1.2793 +2025-06-04 20:23:46,703 - pyskl - INFO - Epoch [143][2300/2353] lr: 1.350e-04, eta: 1:58:39, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.2903, loss: 1.2903 +2025-06-04 20:24:10,078 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-06-04 20:25:35,798 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 20:25:35,872 - pyskl - INFO - +top1_acc 0.9668 +top5_acc 0.9963 +2025-06-04 20:25:35,875 - pyskl - INFO - Epoch(val) [143][1184] top1_acc: 0.9668, top5_acc: 0.9963 +2025-06-04 20:26:39,829 - pyskl - INFO - Epoch [144][100/2353] lr: 1.325e-04, eta: 1:57:33, time: 0.639, data_time: 0.207, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 1.2746, loss: 1.2746 +2025-06-04 20:27:22,956 - pyskl - INFO - Epoch [144][200/2353] lr: 1.309e-04, eta: 1:56:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2241, loss: 1.2241 +2025-06-04 20:28:06,183 - pyskl - INFO - Epoch [144][300/2353] lr: 1.293e-04, eta: 1:56:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2716, loss: 1.2716 +2025-06-04 20:28:49,274 - pyskl - INFO - Epoch [144][400/2353] lr: 1.277e-04, eta: 1:55:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3255, loss: 1.3255 +2025-06-04 20:29:32,344 - pyskl - INFO - Epoch [144][500/2353] lr: 1.261e-04, eta: 1:54:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2846, loss: 1.2846 +2025-06-04 20:30:15,412 - pyskl - INFO - Epoch [144][600/2353] lr: 1.245e-04, eta: 1:53:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2799, loss: 1.2799 +2025-06-04 20:30:58,477 - pyskl - INFO - Epoch [144][700/2353] lr: 1.230e-04, eta: 1:53:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2636, loss: 1.2636 +2025-06-04 20:31:41,642 - pyskl - INFO - Epoch [144][800/2353] lr: 1.214e-04, eta: 1:52:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2429, loss: 1.2429 +2025-06-04 20:32:25,018 - pyskl - INFO - Epoch [144][900/2353] lr: 1.199e-04, eta: 1:51:48, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2586, loss: 1.2586 +2025-06-04 20:33:08,181 - pyskl - INFO - Epoch [144][1000/2353] lr: 1.183e-04, eta: 1:51:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2906, loss: 1.2906 +2025-06-04 20:33:51,289 - pyskl - INFO - Epoch [144][1100/2353] lr: 1.168e-04, eta: 1:50:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2734, loss: 1.2734 +2025-06-04 20:34:34,242 - pyskl - INFO - Epoch [144][1200/2353] lr: 1.153e-04, eta: 1:49:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.2945, loss: 1.2945 +2025-06-04 20:35:17,187 - pyskl - INFO - Epoch [144][1300/2353] lr: 1.138e-04, eta: 1:48:56, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2579, loss: 1.2579 +2025-06-04 20:36:00,155 - pyskl - INFO - Epoch [144][1400/2353] lr: 1.123e-04, eta: 1:48:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2894, loss: 1.2894 +2025-06-04 20:36:43,133 - pyskl - INFO - Epoch [144][1500/2353] lr: 1.108e-04, eta: 1:47:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2546, loss: 1.2546 +2025-06-04 20:37:26,192 - pyskl - INFO - Epoch [144][1600/2353] lr: 1.094e-04, eta: 1:46:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.2615, loss: 1.2615 +2025-06-04 20:38:09,127 - pyskl - INFO - Epoch [144][1700/2353] lr: 1.079e-04, eta: 1:46:03, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2353, loss: 1.2353 +2025-06-04 20:38:52,241 - pyskl - INFO - Epoch [144][1800/2353] lr: 1.064e-04, eta: 1:45:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2544, loss: 1.2544 +2025-06-04 20:39:35,663 - pyskl - INFO - Epoch [144][1900/2353] lr: 1.050e-04, eta: 1:44:37, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2725, loss: 1.2725 +2025-06-04 20:40:18,836 - pyskl - INFO - Epoch [144][2000/2353] lr: 1.036e-04, eta: 1:43:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2761, loss: 1.2761 +2025-06-04 20:41:01,932 - pyskl - INFO - Epoch [144][2100/2353] lr: 1.021e-04, eta: 1:43:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2197, loss: 1.2197 +2025-06-04 20:41:45,008 - pyskl - INFO - Epoch [144][2200/2353] lr: 1.007e-04, eta: 1:42:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.2828, loss: 1.2828 +2025-06-04 20:42:28,061 - pyskl - INFO - Epoch [144][2300/2353] lr: 9.932e-05, eta: 1:41:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2412, loss: 1.2412 +2025-06-04 20:42:51,379 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-06-04 20:44:16,647 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 20:44:16,721 - pyskl - INFO - +top1_acc 0.9676 +top5_acc 0.9961 +2025-06-04 20:44:16,725 - pyskl - INFO - Epoch(val) [144][1184] top1_acc: 0.9676, top5_acc: 0.9961 +2025-06-04 20:45:20,506 - pyskl - INFO - Epoch [145][100/2353] lr: 9.719e-05, eta: 1:40:39, time: 0.638, data_time: 0.203, memory: 13127, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 1.2779, loss: 1.2779 +2025-06-04 20:46:03,570 - pyskl - INFO - Epoch [145][200/2353] lr: 9.581e-05, eta: 1:39:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2561, loss: 1.2561 +2025-06-04 20:46:46,792 - pyskl - INFO - Epoch [145][300/2353] lr: 9.444e-05, eta: 1:39:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2273, loss: 1.2273 +2025-06-04 20:47:30,112 - pyskl - INFO - Epoch [145][400/2353] lr: 9.308e-05, eta: 1:38:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2281, loss: 1.2281 +2025-06-04 20:48:13,237 - pyskl - INFO - Epoch [145][500/2353] lr: 9.173e-05, eta: 1:37:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2736, loss: 1.2736 +2025-06-04 20:48:56,414 - pyskl - INFO - Epoch [145][600/2353] lr: 9.039e-05, eta: 1:37:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2872, loss: 1.2872 +2025-06-04 20:49:39,487 - pyskl - INFO - Epoch [145][700/2353] lr: 8.906e-05, eta: 1:36:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.3101, loss: 1.3101 +2025-06-04 20:50:22,658 - pyskl - INFO - Epoch [145][800/2353] lr: 8.774e-05, eta: 1:35:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2676, loss: 1.2676 +2025-06-04 20:51:05,731 - pyskl - INFO - Epoch [145][900/2353] lr: 8.643e-05, eta: 1:34:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2695, loss: 1.2695 +2025-06-04 20:51:48,951 - pyskl - INFO - Epoch [145][1000/2353] lr: 8.513e-05, eta: 1:34:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.3068, loss: 1.3068 +2025-06-04 20:52:32,110 - pyskl - INFO - Epoch [145][1100/2353] lr: 8.383e-05, eta: 1:33:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9981, loss_cls: 1.2634, loss: 1.2634 +2025-06-04 20:53:15,129 - pyskl - INFO - Epoch [145][1200/2353] lr: 8.255e-05, eta: 1:32:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.3119, loss: 1.3119 +2025-06-04 20:53:58,114 - pyskl - INFO - Epoch [145][1300/2353] lr: 8.128e-05, eta: 1:32:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.2491, loss: 1.2491 +2025-06-04 20:54:41,493 - pyskl - INFO - Epoch [145][1400/2353] lr: 8.002e-05, eta: 1:31:19, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.2770, loss: 1.2770 +2025-06-04 20:55:24,604 - pyskl - INFO - Epoch [145][1500/2353] lr: 7.877e-05, eta: 1:30:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.2668, loss: 1.2668 +2025-06-04 20:56:07,583 - pyskl - INFO - Epoch [145][1600/2353] lr: 7.753e-05, eta: 1:29:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2555, loss: 1.2555 +2025-06-04 20:56:50,481 - pyskl - INFO - Epoch [145][1700/2353] lr: 7.629e-05, eta: 1:29:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3066, loss: 1.3066 +2025-06-04 20:57:33,756 - pyskl - INFO - Epoch [145][1800/2353] lr: 7.507e-05, eta: 1:28:26, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3032, loss: 1.3032 +2025-06-04 20:58:16,851 - pyskl - INFO - Epoch [145][1900/2353] lr: 7.386e-05, eta: 1:27:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2735, loss: 1.2735 +2025-06-04 20:58:59,862 - pyskl - INFO - Epoch [145][2000/2353] lr: 7.266e-05, eta: 1:27:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2989, loss: 1.2989 +2025-06-04 20:59:42,817 - pyskl - INFO - Epoch [145][2100/2353] lr: 7.146e-05, eta: 1:26:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2481, loss: 1.2481 +2025-06-04 21:00:25,733 - pyskl - INFO - Epoch [145][2200/2353] lr: 7.028e-05, eta: 1:25:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9988, loss_cls: 1.2767, loss: 1.2767 +2025-06-04 21:01:08,686 - pyskl - INFO - Epoch [145][2300/2353] lr: 6.911e-05, eta: 1:24:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2804, loss: 1.2804 +2025-06-04 21:01:32,010 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-06-04 21:10:19,181 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 21:10:19,257 - pyskl - INFO - +top1_acc 0.9666 +top5_acc 0.9959 +2025-06-04 21:10:19,260 - pyskl - INFO - Epoch(val) [145][1184] top1_acc: 0.9666, top5_acc: 0.9959 +2025-06-04 21:11:23,057 - pyskl - INFO - Epoch [146][100/2353] lr: 6.733e-05, eta: 1:23:45, time: 0.638, data_time: 0.205, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2753, loss: 1.2753 +2025-06-04 21:12:06,272 - pyskl - INFO - Epoch [146][200/2353] lr: 6.618e-05, eta: 1:23:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.2868, loss: 1.2868 +2025-06-04 21:12:49,395 - pyskl - INFO - Epoch [146][300/2353] lr: 6.504e-05, eta: 1:22:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2671, loss: 1.2671 +2025-06-04 21:13:32,413 - pyskl - INFO - Epoch [146][400/2353] lr: 6.391e-05, eta: 1:21:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 1.2781, loss: 1.2781 +2025-06-04 21:14:15,517 - pyskl - INFO - Epoch [146][500/2353] lr: 6.280e-05, eta: 1:20:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2328, loss: 1.2328 +2025-06-04 21:14:58,635 - pyskl - INFO - Epoch [146][600/2353] lr: 6.169e-05, eta: 1:20:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2256, loss: 1.2256 +2025-06-04 21:15:41,759 - pyskl - INFO - Epoch [146][700/2353] lr: 6.059e-05, eta: 1:19:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.2861, loss: 1.2861 +2025-06-04 21:16:24,905 - pyskl - INFO - Epoch [146][800/2353] lr: 5.950e-05, eta: 1:18:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2683, loss: 1.2683 +2025-06-04 21:17:08,002 - pyskl - INFO - Epoch [146][900/2353] lr: 5.842e-05, eta: 1:18:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2086, loss: 1.2086 +2025-06-04 21:17:51,101 - pyskl - INFO - Epoch [146][1000/2353] lr: 5.735e-05, eta: 1:17:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2767, loss: 1.2767 +2025-06-04 21:18:34,266 - pyskl - INFO - Epoch [146][1100/2353] lr: 5.629e-05, eta: 1:16:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2295, loss: 1.2295 +2025-06-04 21:19:17,365 - pyskl - INFO - Epoch [146][1200/2353] lr: 5.524e-05, eta: 1:15:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2394, loss: 1.2394 +2025-06-04 21:20:00,418 - pyskl - INFO - Epoch [146][1300/2353] lr: 5.420e-05, eta: 1:15:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2534, loss: 1.2534 +2025-06-04 21:20:43,555 - pyskl - INFO - Epoch [146][1400/2353] lr: 5.317e-05, eta: 1:14:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2342, loss: 1.2342 +2025-06-04 21:21:26,678 - pyskl - INFO - Epoch [146][1500/2353] lr: 5.215e-05, eta: 1:13:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3219, loss: 1.3219 +2025-06-04 21:22:09,842 - pyskl - INFO - Epoch [146][1600/2353] lr: 5.114e-05, eta: 1:12:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.1958, loss: 1.1958 +2025-06-04 21:22:52,933 - pyskl - INFO - Epoch [146][1700/2353] lr: 5.014e-05, eta: 1:12:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2673, loss: 1.2673 +2025-06-04 21:23:36,062 - pyskl - INFO - Epoch [146][1800/2353] lr: 4.915e-05, eta: 1:11:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 1.2899, loss: 1.2899 +2025-06-04 21:24:19,281 - pyskl - INFO - Epoch [146][1900/2353] lr: 4.817e-05, eta: 1:10:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.2368, loss: 1.2368 +2025-06-04 21:25:02,362 - pyskl - INFO - Epoch [146][2000/2353] lr: 4.720e-05, eta: 1:10:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2806, loss: 1.2806 +2025-06-04 21:25:45,429 - pyskl - INFO - Epoch [146][2100/2353] lr: 4.624e-05, eta: 1:09:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2983, loss: 1.2983 +2025-06-04 21:26:28,391 - pyskl - INFO - Epoch [146][2200/2353] lr: 4.528e-05, eta: 1:08:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2558, loss: 1.2558 +2025-06-04 21:27:11,489 - pyskl - INFO - Epoch [146][2300/2353] lr: 4.434e-05, eta: 1:07:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2725, loss: 1.2725 +2025-06-04 21:27:34,821 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-06-04 21:29:00,973 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 21:29:01,048 - pyskl - INFO - +top1_acc 0.9673 +top5_acc 0.9960 +2025-06-04 21:29:01,051 - pyskl - INFO - Epoch(val) [146][1184] top1_acc: 0.9673, top5_acc: 0.9960 +2025-06-04 21:30:04,808 - pyskl - INFO - Epoch [147][100/2353] lr: 4.292e-05, eta: 1:06:51, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2769, loss: 1.2769 +2025-06-04 21:30:48,137 - pyskl - INFO - Epoch [147][200/2353] lr: 4.201e-05, eta: 1:06:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9981, loss_cls: 1.2389, loss: 1.2389 +2025-06-04 21:31:31,784 - pyskl - INFO - Epoch [147][300/2353] lr: 4.110e-05, eta: 1:05:25, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2587, loss: 1.2587 +2025-06-04 21:32:15,364 - pyskl - INFO - Epoch [147][400/2353] lr: 4.020e-05, eta: 1:04:42, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2526, loss: 1.2526 +2025-06-04 21:32:58,867 - pyskl - INFO - Epoch [147][500/2353] lr: 3.932e-05, eta: 1:03:59, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.2880, loss: 1.2880 +2025-06-04 21:33:42,185 - pyskl - INFO - Epoch [147][600/2353] lr: 3.844e-05, eta: 1:03:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2432, loss: 1.2432 +2025-06-04 21:34:25,383 - pyskl - INFO - Epoch [147][700/2353] lr: 3.757e-05, eta: 1:02:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.2744, loss: 1.2744 +2025-06-04 21:35:08,476 - pyskl - INFO - Epoch [147][800/2353] lr: 3.672e-05, eta: 1:01:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2694, loss: 1.2694 +2025-06-04 21:35:51,632 - pyskl - INFO - Epoch [147][900/2353] lr: 3.587e-05, eta: 1:01:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 1.2838, loss: 1.2838 +2025-06-04 21:36:34,776 - pyskl - INFO - Epoch [147][1000/2353] lr: 3.503e-05, eta: 1:00:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2378, loss: 1.2378 +2025-06-04 21:37:17,818 - pyskl - INFO - Epoch [147][1100/2353] lr: 3.420e-05, eta: 0:59:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2266, loss: 1.2266 +2025-06-04 21:38:00,815 - pyskl - INFO - Epoch [147][1200/2353] lr: 3.339e-05, eta: 0:58:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 1.2928, loss: 1.2928 +2025-06-04 21:38:43,787 - pyskl - INFO - Epoch [147][1300/2353] lr: 3.258e-05, eta: 0:58:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2377, loss: 1.2377 +2025-06-04 21:39:26,730 - pyskl - INFO - Epoch [147][1400/2353] lr: 3.178e-05, eta: 0:57:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2093, loss: 1.2093 +2025-06-04 21:40:09,718 - pyskl - INFO - Epoch [147][1500/2353] lr: 3.099e-05, eta: 0:56:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2763, loss: 1.2763 +2025-06-04 21:40:52,718 - pyskl - INFO - Epoch [147][1600/2353] lr: 3.021e-05, eta: 0:56:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2798, loss: 1.2798 +2025-06-04 21:41:35,743 - pyskl - INFO - Epoch [147][1700/2353] lr: 2.945e-05, eta: 0:55:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2575, loss: 1.2575 +2025-06-04 21:42:18,746 - pyskl - INFO - Epoch [147][1800/2353] lr: 2.869e-05, eta: 0:54:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2580, loss: 1.2580 +2025-06-04 21:43:02,122 - pyskl - INFO - Epoch [147][1900/2353] lr: 2.794e-05, eta: 0:53:56, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 0.9988, loss_cls: 1.2296, loss: 1.2296 +2025-06-04 21:43:45,353 - pyskl - INFO - Epoch [147][2000/2353] lr: 2.720e-05, eta: 0:53:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.2651, loss: 1.2651 +2025-06-04 21:44:28,695 - pyskl - INFO - Epoch [147][2100/2353] lr: 2.647e-05, eta: 0:52:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9975, loss_cls: 1.2762, loss: 1.2762 +2025-06-04 21:45:11,816 - pyskl - INFO - Epoch [147][2200/2353] lr: 2.575e-05, eta: 0:51:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2984, loss: 1.2984 +2025-06-04 21:45:54,911 - pyskl - INFO - Epoch [147][2300/2353] lr: 2.504e-05, eta: 0:51:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2969, loss: 1.2969 +2025-06-04 21:46:18,308 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-06-04 21:47:43,945 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 21:47:44,021 - pyskl - INFO - +top1_acc 0.9664 +top5_acc 0.9960 +2025-06-04 21:47:44,024 - pyskl - INFO - Epoch(val) [147][1184] top1_acc: 0.9664, top5_acc: 0.9960 +2025-06-04 21:48:47,818 - pyskl - INFO - Epoch [148][100/2353] lr: 2.398e-05, eta: 0:49:58, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2688, loss: 1.2688 +2025-06-04 21:49:30,906 - pyskl - INFO - Epoch [148][200/2353] lr: 2.330e-05, eta: 0:49:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2759, loss: 1.2759 +2025-06-04 21:50:14,162 - pyskl - INFO - Epoch [148][300/2353] lr: 2.262e-05, eta: 0:48:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.2728, loss: 1.2728 +2025-06-04 21:50:57,310 - pyskl - INFO - Epoch [148][400/2353] lr: 2.196e-05, eta: 0:47:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2591, loss: 1.2591 +2025-06-04 21:51:40,307 - pyskl - INFO - Epoch [148][500/2353] lr: 2.130e-05, eta: 0:47:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 1.2514, loss: 1.2514 +2025-06-04 21:52:23,378 - pyskl - INFO - Epoch [148][600/2353] lr: 2.066e-05, eta: 0:46:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2320, loss: 1.2320 +2025-06-04 21:53:06,654 - pyskl - INFO - Epoch [148][700/2353] lr: 2.002e-05, eta: 0:45:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2233, loss: 1.2233 +2025-06-04 21:53:49,778 - pyskl - INFO - Epoch [148][800/2353] lr: 1.940e-05, eta: 0:44:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2370, loss: 1.2370 +2025-06-04 21:54:32,802 - pyskl - INFO - Epoch [148][900/2353] lr: 1.878e-05, eta: 0:44:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2501, loss: 1.2501 +2025-06-04 21:55:15,944 - pyskl - INFO - Epoch [148][1000/2353] lr: 1.818e-05, eta: 0:43:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2701, loss: 1.2701 +2025-06-04 21:55:58,947 - pyskl - INFO - Epoch [148][1100/2353] lr: 1.759e-05, eta: 0:42:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2372, loss: 1.2372 +2025-06-04 21:56:41,877 - pyskl - INFO - Epoch [148][1200/2353] lr: 1.700e-05, eta: 0:42:04, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.3164, loss: 1.3164 +2025-06-04 21:57:25,082 - pyskl - INFO - Epoch [148][1300/2353] lr: 1.642e-05, eta: 0:41:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2335, loss: 1.2335 +2025-06-04 21:58:08,198 - pyskl - INFO - Epoch [148][1400/2353] lr: 1.586e-05, eta: 0:40:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.2697, loss: 1.2697 +2025-06-04 21:58:51,218 - pyskl - INFO - Epoch [148][1500/2353] lr: 1.530e-05, eta: 0:39:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2434, loss: 1.2434 +2025-06-04 21:59:34,221 - pyskl - INFO - Epoch [148][1600/2353] lr: 1.476e-05, eta: 0:39:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2152, loss: 1.2152 +2025-06-04 22:00:17,313 - pyskl - INFO - Epoch [148][1700/2353] lr: 1.422e-05, eta: 0:38:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.2954, loss: 1.2954 +2025-06-04 22:01:00,440 - pyskl - INFO - Epoch [148][1800/2353] lr: 1.370e-05, eta: 0:37:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2729, loss: 1.2729 +2025-06-04 22:01:43,554 - pyskl - INFO - Epoch [148][1900/2353] lr: 1.318e-05, eta: 0:37:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2837, loss: 1.2837 +2025-06-04 22:02:26,659 - pyskl - INFO - Epoch [148][2000/2353] lr: 1.268e-05, eta: 0:36:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2943, loss: 1.2943 +2025-06-04 22:03:09,766 - pyskl - INFO - Epoch [148][2100/2353] lr: 1.218e-05, eta: 0:35:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2556, loss: 1.2556 +2025-06-04 22:03:52,858 - pyskl - INFO - Epoch [148][2200/2353] lr: 1.169e-05, eta: 0:34:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2841, loss: 1.2841 +2025-06-04 22:04:35,936 - pyskl - INFO - Epoch [148][2300/2353] lr: 1.122e-05, eta: 0:34:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2643, loss: 1.2643 +2025-06-04 22:04:59,343 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-06-04 22:06:24,927 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 22:06:25,001 - pyskl - INFO - +top1_acc 0.9669 +top5_acc 0.9963 +2025-06-04 22:06:25,005 - pyskl - INFO - Epoch(val) [148][1184] top1_acc: 0.9669, top5_acc: 0.9963 +2025-06-04 22:07:28,692 - pyskl - INFO - Epoch [149][100/2353] lr: 1.051e-05, eta: 0:33:04, time: 0.637, data_time: 0.206, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2497, loss: 1.2497 +2025-06-04 22:08:11,865 - pyskl - INFO - Epoch [149][200/2353] lr: 1.006e-05, eta: 0:32:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2420, loss: 1.2420 +2025-06-04 22:08:54,961 - pyskl - INFO - Epoch [149][300/2353] lr: 9.616e-06, eta: 0:31:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2174, loss: 1.2174 +2025-06-04 22:09:38,039 - pyskl - INFO - Epoch [149][400/2353] lr: 9.184e-06, eta: 0:30:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2509, loss: 1.2509 +2025-06-04 22:10:21,130 - pyskl - INFO - Epoch [149][500/2353] lr: 8.763e-06, eta: 0:30:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2933, loss: 1.2933 +2025-06-04 22:11:04,207 - pyskl - INFO - Epoch [149][600/2353] lr: 8.351e-06, eta: 0:29:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2451, loss: 1.2451 +2025-06-04 22:11:47,290 - pyskl - INFO - Epoch [149][700/2353] lr: 7.950e-06, eta: 0:28:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.2886, loss: 1.2886 +2025-06-04 22:12:30,341 - pyskl - INFO - Epoch [149][800/2353] lr: 7.558e-06, eta: 0:28:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2679, loss: 1.2679 +2025-06-04 22:13:13,511 - pyskl - INFO - Epoch [149][900/2353] lr: 7.176e-06, eta: 0:27:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2539, loss: 1.2539 +2025-06-04 22:13:56,697 - pyskl - INFO - Epoch [149][1000/2353] lr: 6.804e-06, eta: 0:26:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2814, loss: 1.2814 +2025-06-04 22:14:39,780 - pyskl - INFO - Epoch [149][1100/2353] lr: 6.442e-06, eta: 0:25:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2676, loss: 1.2676 +2025-06-04 22:15:22,911 - pyskl - INFO - Epoch [149][1200/2353] lr: 6.090e-06, eta: 0:25:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9975, loss_cls: 1.2901, loss: 1.2901 +2025-06-04 22:16:05,981 - pyskl - INFO - Epoch [149][1300/2353] lr: 5.747e-06, eta: 0:24:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2172, loss: 1.2172 +2025-06-04 22:16:49,058 - pyskl - INFO - Epoch [149][1400/2353] lr: 5.415e-06, eta: 0:23:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2043, loss: 1.2043 +2025-06-04 22:17:32,204 - pyskl - INFO - Epoch [149][1500/2353] lr: 5.092e-06, eta: 0:23:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2247, loss: 1.2247 +2025-06-04 22:18:15,505 - pyskl - INFO - Epoch [149][1600/2353] lr: 4.780e-06, eta: 0:22:18, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2906, loss: 1.2906 +2025-06-04 22:18:58,687 - pyskl - INFO - Epoch [149][1700/2353] lr: 4.477e-06, eta: 0:21:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2318, loss: 1.2318 +2025-06-04 22:19:41,829 - pyskl - INFO - Epoch [149][1800/2353] lr: 4.184e-06, eta: 0:20:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2510, loss: 1.2510 +2025-06-04 22:20:25,030 - pyskl - INFO - Epoch [149][1900/2353] lr: 3.901e-06, eta: 0:20:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2302, loss: 1.2302 +2025-06-04 22:21:08,186 - pyskl - INFO - Epoch [149][2000/2353] lr: 3.628e-06, eta: 0:19:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2491, loss: 1.2491 +2025-06-04 22:21:51,349 - pyskl - INFO - Epoch [149][2100/2353] lr: 3.365e-06, eta: 0:18:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2162, loss: 1.2162 +2025-06-04 22:22:34,492 - pyskl - INFO - Epoch [149][2200/2353] lr: 3.112e-06, eta: 0:17:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2532, loss: 1.2532 +2025-06-04 22:23:17,601 - pyskl - INFO - Epoch [149][2300/2353] lr: 2.869e-06, eta: 0:17:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2357, loss: 1.2357 +2025-06-04 22:23:41,052 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-06-04 22:25:06,852 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 22:25:06,928 - pyskl - INFO - +top1_acc 0.9679 +top5_acc 0.9963 +2025-06-04 22:25:06,930 - pyskl - INFO - Epoch(val) [149][1184] top1_acc: 0.9679, top5_acc: 0.9963 +2025-06-04 22:26:10,665 - pyskl - INFO - Epoch [150][100/2353] lr: 2.516e-06, eta: 0:16:10, time: 0.637, data_time: 0.205, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2703, loss: 1.2703 +2025-06-04 22:26:53,741 - pyskl - INFO - Epoch [150][200/2353] lr: 2.297e-06, eta: 0:15:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2858, loss: 1.2858 +2025-06-04 22:27:36,914 - pyskl - INFO - Epoch [150][300/2353] lr: 2.089e-06, eta: 0:14:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2151, loss: 1.2151 +2025-06-04 22:28:20,095 - pyskl - INFO - Epoch [150][400/2353] lr: 1.891e-06, eta: 0:14:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2436, loss: 1.2436 +2025-06-04 22:29:03,107 - pyskl - INFO - Epoch [150][500/2353] lr: 1.702e-06, eta: 0:13:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2596, loss: 1.2596 +2025-06-04 22:29:46,211 - pyskl - INFO - Epoch [150][600/2353] lr: 1.523e-06, eta: 0:12:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.2674, loss: 1.2674 +2025-06-04 22:30:29,325 - pyskl - INFO - Epoch [150][700/2353] lr: 1.355e-06, eta: 0:11:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2440, loss: 1.2440 +2025-06-04 22:31:12,454 - pyskl - INFO - Epoch [150][800/2353] lr: 1.196e-06, eta: 0:11:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2416, loss: 1.2416 +2025-06-04 22:31:55,702 - pyskl - INFO - Epoch [150][900/2353] lr: 1.047e-06, eta: 0:10:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 1.2360, loss: 1.2360 +2025-06-04 22:32:38,986 - pyskl - INFO - Epoch [150][1000/2353] lr: 9.078e-07, eta: 0:09:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2265, loss: 1.2265 +2025-06-04 22:33:22,297 - pyskl - INFO - Epoch [150][1100/2353] lr: 7.787e-07, eta: 0:08:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2558, loss: 1.2558 +2025-06-04 22:34:05,515 - pyskl - INFO - Epoch [150][1200/2353] lr: 6.594e-07, eta: 0:08:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2332, loss: 1.2332 +2025-06-04 22:34:48,800 - pyskl - INFO - Epoch [150][1300/2353] lr: 5.501e-07, eta: 0:07:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2832, loss: 1.2832 +2025-06-04 22:35:32,062 - pyskl - INFO - Epoch [150][1400/2353] lr: 4.507e-07, eta: 0:06:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2502, loss: 1.2502 +2025-06-04 22:36:15,341 - pyskl - INFO - Epoch [150][1500/2353] lr: 3.611e-07, eta: 0:06:07, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2684, loss: 1.2684 +2025-06-04 22:36:58,585 - pyskl - INFO - Epoch [150][1600/2353] lr: 2.815e-07, eta: 0:05:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2510, loss: 1.2510 +2025-06-04 22:37:41,838 - pyskl - INFO - Epoch [150][1700/2353] lr: 2.118e-07, eta: 0:04:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 0.9988, loss_cls: 1.2202, loss: 1.2202 +2025-06-04 22:38:25,110 - pyskl - INFO - Epoch [150][1800/2353] lr: 1.520e-07, eta: 0:03:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2473, loss: 1.2473 +2025-06-04 22:39:08,302 - pyskl - INFO - Epoch [150][1900/2353] lr: 1.021e-07, eta: 0:03:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2362, loss: 1.2362 +2025-06-04 22:39:51,362 - pyskl - INFO - Epoch [150][2000/2353] lr: 6.205e-08, eta: 0:02:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2721, loss: 1.2721 +2025-06-04 22:40:34,499 - pyskl - INFO - Epoch [150][2100/2353] lr: 3.195e-08, eta: 0:01:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2472, loss: 1.2472 +2025-06-04 22:41:17,570 - pyskl - INFO - Epoch [150][2200/2353] lr: 1.174e-08, eta: 0:01:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.3043, loss: 1.3043 +2025-06-04 22:42:00,776 - pyskl - INFO - Epoch [150][2300/2353] lr: 1.444e-09, eta: 0:00:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2296, loss: 1.2296 +2025-06-04 22:42:24,338 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-06-04 22:43:50,396 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 22:43:50,471 - pyskl - INFO - +top1_acc 0.9664 +top5_acc 0.9960 +2025-06-04 22:43:50,474 - pyskl - INFO - Epoch(val) [150][1184] top1_acc: 0.9664, top5_acc: 0.9960 +2025-06-04 22:43:58,455 - pyskl - INFO - 18932 videos remain after valid thresholding +2025-06-04 22:54:46,754 - pyskl - INFO - Testing results of the last checkpoint +2025-06-04 22:54:46,755 - pyskl - INFO - top1_acc: 0.9678 +2025-06-04 22:54:46,755 - pyskl - INFO - top5_acc: 0.9966 +2025-06-04 22:54:46,755 - pyskl - INFO - load checkpoint from local path: ./work_dirs/ntu60_xview/k_2/best_top1_acc_epoch_142.pth +2025-06-04 23:05:35,246 - pyskl - INFO - Testing results of the best checkpoint +2025-06-04 23:05:35,246 - pyskl - INFO - top1_acc: 0.9689 +2025-06-04 23:05:35,246 - pyskl - INFO - top5_acc: 0.9964