diff --git "a/ntu60_xview/jm/20250430_164928.log" "b/ntu60_xview/jm/20250430_164928.log" new file mode 100644--- /dev/null +++ "b/ntu60_xview/jm/20250430_164928.log" @@ -0,0 +1,4661 @@ +2025-04-30 16:49:28,226 - 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+ +------------------------------------------------------------ + +2025-04-30 16:49:28,558 - pyskl - INFO - Config: modality = 'jm' +graph = 'nturgb+d' +work_dir = './work_dirs/ntu60_xview/jm' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module_LLM', + llm_model='gpt4o', + 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/jm', + interval_epoch=10, + weight_1=0.2, + weight_2=0.5)) +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='GenSkeFeat', feats=['jm']), + 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=['jm']), + 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=['jm']), + 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='GenSkeFeat', feats=['jm']), + 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=['jm']), + 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=['jm']), + 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) + +2025-04-30 16:49:28,558 - pyskl - INFO - Set random seed to 46383442, deterministic: False +2025-04-30 16:49:38,089 - pyskl - INFO - 37646 videos remain after valid thresholding +2025-04-30 16:49:43,760 - pyskl - INFO - 18932 videos remain after valid thresholding +2025-04-30 16:49:43,783 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm +2025-04-30 16:49:43,783 - 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 + -------------------- +2025-04-30 16:49:43,783 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-04-30 16:49:43,783 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm by HardDiskBackend. +2025-04-30 16:50:49,307 - pyskl - INFO - Epoch [1][100/2353] lr: 2.500e-02, eta: 2 days, 16:13:06, time: 0.655, data_time: 0.208, memory: 13125, top1_acc: 0.0262, top5_acc: 0.1256, loss_cls: 11.4083, loss: 11.4083 +2025-04-30 16:51:33,190 - pyskl - INFO - Epoch [1][200/2353] lr: 2.500e-02, eta: 2 days, 5:35:58, time: 0.439, data_time: 0.000, memory: 13125, top1_acc: 0.0437, top5_acc: 0.1787, loss_cls: 9.9955, loss: 9.9955 +2025-04-30 16:52:17,423 - pyskl - INFO - Epoch [1][300/2353] lr: 2.500e-02, eta: 2 days, 2:09:56, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.0512, top5_acc: 0.1881, loss_cls: 9.8213, loss: 9.8213 +2025-04-30 16:53:01,601 - pyskl - INFO - Epoch [1][400/2353] lr: 2.500e-02, eta: 2 days, 0:25:45, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.0531, top5_acc: 0.1994, loss_cls: 9.6625, loss: 9.6625 +2025-04-30 16:53:45,633 - pyskl - INFO - Epoch [1][500/2353] lr: 2.500e-02, eta: 1 day, 23:21:15, time: 0.440, data_time: 0.000, memory: 13125, top1_acc: 0.0575, top5_acc: 0.2338, loss_cls: 9.5264, loss: 9.5264 +2025-04-30 16:54:29,785 - pyskl - INFO - Epoch [1][600/2353] lr: 2.500e-02, eta: 1 day, 22:39:09, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.0800, top5_acc: 0.2869, loss_cls: 9.2835, loss: 9.2835 +2025-04-30 16:55:13,624 - pyskl - INFO - Epoch [1][700/2353] lr: 2.500e-02, eta: 1 day, 22:06:16, time: 0.438, data_time: 0.000, memory: 13125, top1_acc: 0.0925, top5_acc: 0.3094, loss_cls: 9.0809, loss: 9.0809 +2025-04-30 16:55:57,859 - pyskl - INFO - Epoch [1][800/2353] lr: 2.500e-02, eta: 1 day, 21:44:19, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.0963, top5_acc: 0.3525, loss_cls: 8.8933, loss: 8.8933 +2025-04-30 16:56:41,999 - pyskl - INFO - Epoch [1][900/2353] lr: 2.500e-02, eta: 1 day, 21:26:28, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.1125, top5_acc: 0.3613, loss_cls: 8.7867, loss: 8.7867 +2025-04-30 16:57:25,985 - pyskl - INFO - Epoch [1][1000/2353] lr: 2.500e-02, eta: 1 day, 21:11:08, time: 0.440, data_time: 0.000, memory: 13125, top1_acc: 0.1150, top5_acc: 0.3800, loss_cls: 8.6737, loss: 8.6737 +2025-04-30 16:58:10,003 - pyskl - INFO - Epoch [1][1100/2353] lr: 2.500e-02, eta: 1 day, 20:58:37, time: 0.440, data_time: 0.000, memory: 13125, top1_acc: 0.1225, top5_acc: 0.4306, loss_cls: 8.4763, loss: 8.4763 +2025-04-30 16:58:54,045 - pyskl - INFO - Epoch [1][1200/2353] lr: 2.500e-02, eta: 1 day, 20:48:12, time: 0.440, data_time: 0.000, memory: 13125, top1_acc: 0.1313, top5_acc: 0.4412, loss_cls: 8.4520, loss: 8.4520 +2025-04-30 16:59:38,039 - pyskl - INFO - Epoch [1][1300/2353] lr: 2.500e-02, eta: 1 day, 20:39:03, time: 0.440, data_time: 0.000, memory: 13125, top1_acc: 0.1506, top5_acc: 0.4475, loss_cls: 8.3453, loss: 8.3453 +2025-04-30 17:00:22,094 - pyskl - INFO - Epoch [1][1400/2353] lr: 2.500e-02, eta: 1 day, 20:31:21, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.1519, top5_acc: 0.4669, loss_cls: 8.2323, loss: 8.2323 +2025-04-30 17:01:06,039 - pyskl - INFO - Epoch [1][1500/2353] lr: 2.500e-02, eta: 1 day, 20:24:09, time: 0.439, data_time: 0.000, memory: 13125, top1_acc: 0.1663, top5_acc: 0.4794, loss_cls: 8.0862, loss: 8.0862 +2025-04-30 17:01:50,035 - pyskl - INFO - Epoch [1][1600/2353] lr: 2.500e-02, eta: 1 day, 20:17:57, time: 0.440, data_time: 0.000, memory: 13125, top1_acc: 0.1975, top5_acc: 0.5238, loss_cls: 7.9862, loss: 7.9862 +2025-04-30 17:02:34,062 - pyskl - INFO - Epoch [1][1700/2353] lr: 2.500e-02, eta: 1 day, 20:12:30, time: 0.440, data_time: 0.000, memory: 13125, top1_acc: 0.2213, top5_acc: 0.5469, loss_cls: 7.8367, loss: 7.8367 +2025-04-30 17:03:18,164 - pyskl - INFO - Epoch [1][1800/2353] lr: 2.500e-02, eta: 1 day, 20:07:49, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.2369, top5_acc: 0.6000, loss_cls: 7.5557, loss: 7.5557 +2025-04-30 17:04:02,199 - pyskl - INFO - Epoch [1][1900/2353] lr: 2.500e-02, eta: 1 day, 20:03:20, time: 0.440, data_time: 0.000, memory: 13125, top1_acc: 0.2362, top5_acc: 0.5906, loss_cls: 7.6568, loss: 7.6568 +2025-04-30 17:04:46,270 - pyskl - INFO - Epoch [1][2000/2353] lr: 2.500e-02, eta: 1 day, 19:59:21, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.2669, top5_acc: 0.6344, loss_cls: 7.3494, loss: 7.3494 +2025-04-30 17:05:30,277 - pyskl - INFO - Epoch [1][2100/2353] lr: 2.500e-02, eta: 1 day, 19:55:29, time: 0.440, data_time: 0.000, memory: 13125, top1_acc: 0.2794, top5_acc: 0.6656, loss_cls: 7.1281, loss: 7.1281 +2025-04-30 17:06:14,405 - pyskl - INFO - Epoch [1][2200/2353] lr: 2.500e-02, eta: 1 day, 19:52:14, time: 0.441, data_time: 0.000, memory: 13125, top1_acc: 0.2931, top5_acc: 0.6644, loss_cls: 7.1402, loss: 7.1402 +2025-04-30 17:06:58,619 - pyskl - INFO - Epoch [1][2300/2353] lr: 2.500e-02, eta: 1 day, 19:49:24, time: 0.442, data_time: 0.000, memory: 13125, top1_acc: 0.3200, top5_acc: 0.6981, loss_cls: 6.8644, loss: 6.8644 +2025-04-30 17:07:22,739 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-04-30 17:08:52,764 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 17:08:52,839 - pyskl - INFO - +top1_acc 0.2122 +top5_acc 0.5837 +2025-04-30 17:08:53,939 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-04-30 17:08:53,940 - pyskl - INFO - Best top1_acc is 0.2122 at 1 epoch. +2025-04-30 17:08:53,943 - pyskl - INFO - Epoch(val) [1][1184] top1_acc: 0.2122, top5_acc: 0.5837 +2025-04-30 17:09:59,166 - pyskl - INFO - Epoch [2][100/2353] lr: 2.500e-02, eta: 1 day, 19:39:38, time: 0.652, data_time: 0.212, memory: 13126, top1_acc: 0.3206, top5_acc: 0.7219, loss_cls: 6.8499, loss: 6.8499 +2025-04-30 17:10:43,126 - pyskl - INFO - Epoch [2][200/2353] lr: 2.500e-02, eta: 1 day, 19:36:52, time: 0.440, data_time: 0.000, memory: 13126, top1_acc: 0.3638, top5_acc: 0.7456, loss_cls: 6.6540, loss: 6.6540 +2025-04-30 17:11:27,142 - pyskl - INFO - Epoch [2][300/2353] lr: 2.500e-02, eta: 1 day, 19:34:22, time: 0.440, data_time: 0.000, memory: 13126, top1_acc: 0.3619, top5_acc: 0.7519, loss_cls: 6.6368, loss: 6.6368 +2025-04-30 17:12:11,187 - pyskl - INFO - Epoch [2][400/2353] lr: 2.500e-02, eta: 1 day, 19:32:04, time: 0.440, data_time: 0.000, memory: 13126, top1_acc: 0.3944, top5_acc: 0.7694, loss_cls: 6.3487, loss: 6.3487 +2025-04-30 17:12:55,150 - pyskl - INFO - Epoch [2][500/2353] lr: 2.500e-02, eta: 1 day, 19:29:42, time: 0.440, data_time: 0.000, memory: 13126, top1_acc: 0.4019, top5_acc: 0.7575, loss_cls: 6.4601, loss: 6.4601 +2025-04-30 17:13:39,147 - pyskl - INFO - Epoch [2][600/2353] lr: 2.500e-02, eta: 1 day, 19:27:31, time: 0.440, data_time: 0.000, memory: 13126, top1_acc: 0.3856, top5_acc: 0.7600, loss_cls: 6.4060, loss: 6.4060 +2025-04-30 17:14:23,281 - pyskl - INFO - Epoch [2][700/2353] lr: 2.500e-02, eta: 1 day, 19:25:41, time: 0.441, data_time: 0.000, memory: 13126, top1_acc: 0.4050, top5_acc: 0.7769, loss_cls: 6.3097, loss: 6.3097 +2025-04-30 17:15:07,537 - pyskl - INFO - Epoch [2][800/2353] lr: 2.500e-02, eta: 1 day, 19:24:09, time: 0.443, data_time: 0.000, memory: 13126, top1_acc: 0.4425, top5_acc: 0.7850, loss_cls: 6.1809, loss: 6.1809 +2025-04-30 17:15:51,674 - pyskl - INFO - Epoch [2][900/2353] lr: 2.499e-02, eta: 1 day, 19:22:27, time: 0.441, data_time: 0.000, memory: 13126, top1_acc: 0.4338, top5_acc: 0.7756, loss_cls: 6.2019, loss: 6.2019 +2025-04-30 17:16:35,815 - pyskl - INFO - Epoch [2][1000/2353] lr: 2.499e-02, eta: 1 day, 19:20:49, time: 0.441, data_time: 0.000, memory: 13126, top1_acc: 0.4594, top5_acc: 0.8144, loss_cls: 5.9912, loss: 5.9912 +2025-04-30 17:17:19,975 - pyskl - INFO - Epoch [2][1100/2353] lr: 2.499e-02, eta: 1 day, 19:19:16, time: 0.442, data_time: 0.000, memory: 13126, top1_acc: 0.4462, top5_acc: 0.8169, loss_cls: 5.9558, loss: 5.9558 +2025-04-30 17:18:04,167 - pyskl - INFO - Epoch [2][1200/2353] lr: 2.499e-02, eta: 1 day, 19:17:49, time: 0.442, data_time: 0.000, memory: 13126, top1_acc: 0.4919, top5_acc: 0.8219, loss_cls: 5.8916, loss: 5.8916 +2025-04-30 17:18:48,414 - pyskl - INFO - Epoch [2][1300/2353] lr: 2.499e-02, eta: 1 day, 19:16:30, time: 0.442, data_time: 0.000, memory: 13126, top1_acc: 0.4913, top5_acc: 0.8350, loss_cls: 5.8011, loss: 5.8011 +2025-04-30 17:19:32,621 - pyskl - INFO - Epoch [2][1400/2353] lr: 2.499e-02, eta: 1 day, 19:15:09, time: 0.442, data_time: 0.000, memory: 13126, top1_acc: 0.4813, top5_acc: 0.8413, loss_cls: 5.7956, loss: 5.7956 +2025-04-30 17:20:16,770 - pyskl - INFO - Epoch [2][1500/2353] lr: 2.499e-02, eta: 1 day, 19:13:44, time: 0.441, data_time: 0.000, memory: 13126, top1_acc: 0.4888, top5_acc: 0.8319, loss_cls: 5.7875, loss: 5.7875 +2025-04-30 17:21:00,851 - pyskl - INFO - Epoch [2][1600/2353] lr: 2.499e-02, eta: 1 day, 19:12:15, time: 0.441, data_time: 0.000, memory: 13126, top1_acc: 0.5169, top5_acc: 0.8538, loss_cls: 5.5312, loss: 5.5312 +2025-04-30 17:21:44,987 - pyskl - INFO - Epoch [2][1700/2353] lr: 2.499e-02, eta: 1 day, 19:10:54, time: 0.441, data_time: 0.000, memory: 13126, top1_acc: 0.5131, top5_acc: 0.8600, loss_cls: 5.5832, loss: 5.5832 +2025-04-30 17:22:29,161 - pyskl - INFO - Epoch [2][1800/2353] lr: 2.499e-02, eta: 1 day, 19:09:37, time: 0.442, data_time: 0.000, memory: 13126, top1_acc: 0.5325, top5_acc: 0.8675, loss_cls: 5.4923, loss: 5.4923 +2025-04-30 17:23:13,425 - pyskl - INFO - Epoch [2][1900/2353] lr: 2.499e-02, eta: 1 day, 19:08:29, time: 0.443, data_time: 0.000, memory: 13126, top1_acc: 0.5356, top5_acc: 0.8625, loss_cls: 5.4836, loss: 5.4836 +2025-04-30 17:23:57,636 - pyskl - INFO - Epoch [2][2000/2353] lr: 2.499e-02, eta: 1 day, 19:07:18, time: 0.442, data_time: 0.000, memory: 13126, top1_acc: 0.5281, top5_acc: 0.8681, loss_cls: 5.3970, loss: 5.3970 +2025-04-30 17:24:41,959 - pyskl - INFO - Epoch [2][2100/2353] lr: 2.499e-02, eta: 1 day, 19:06:17, time: 0.443, data_time: 0.000, memory: 13126, top1_acc: 0.5288, top5_acc: 0.8681, loss_cls: 5.3980, loss: 5.3980 +2025-04-30 17:25:26,219 - pyskl - INFO - Epoch [2][2200/2353] lr: 2.499e-02, eta: 1 day, 19:05:12, time: 0.443, data_time: 0.000, memory: 13126, top1_acc: 0.5575, top5_acc: 0.8762, loss_cls: 5.3412, loss: 5.3412 +2025-04-30 17:26:10,592 - pyskl - INFO - Epoch [2][2300/2353] lr: 2.499e-02, eta: 1 day, 19:04:17, time: 0.444, data_time: 0.000, memory: 13126, top1_acc: 0.5350, top5_acc: 0.8769, loss_cls: 5.3937, loss: 5.3937 +2025-04-30 17:26:34,665 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-04-30 17:28:05,114 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 17:28:05,190 - pyskl - INFO - +top1_acc 0.4582 +top5_acc 0.8482 +2025-04-30 17:28:05,253 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_1.pth was removed +2025-04-30 17:28:06,358 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-04-30 17:28:06,358 - pyskl - INFO - Best top1_acc is 0.4582 at 2 epoch. +2025-04-30 17:28:06,361 - pyskl - INFO - Epoch(val) [2][1184] top1_acc: 0.4582, top5_acc: 0.8482 +2025-04-30 17:29:11,988 - pyskl - INFO - Epoch [3][100/2353] lr: 2.499e-02, eta: 1 day, 19:00:08, time: 0.656, data_time: 0.213, memory: 13127, top1_acc: 0.5706, top5_acc: 0.8894, loss_cls: 5.2134, loss: 5.2134 +2025-04-30 17:29:56,344 - pyskl - INFO - Epoch [3][200/2353] lr: 2.499e-02, eta: 1 day, 18:59:16, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.5700, top5_acc: 0.8862, loss_cls: 5.2823, loss: 5.2823 +2025-04-30 17:30:40,686 - pyskl - INFO - Epoch [3][300/2353] lr: 2.499e-02, eta: 1 day, 18:58:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5694, top5_acc: 0.8781, loss_cls: 5.1721, loss: 5.1721 +2025-04-30 17:31:24,987 - pyskl - INFO - Epoch [3][400/2353] lr: 2.499e-02, eta: 1 day, 18:57:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5694, top5_acc: 0.8900, loss_cls: 5.1753, loss: 5.1753 +2025-04-30 17:32:09,373 - pyskl - INFO - Epoch [3][500/2353] lr: 2.499e-02, eta: 1 day, 18:56:38, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.6075, top5_acc: 0.8938, loss_cls: 5.0392, loss: 5.0392 +2025-04-30 17:32:53,702 - pyskl - INFO - Epoch [3][600/2353] lr: 2.499e-02, eta: 1 day, 18:55:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5813, top5_acc: 0.8938, loss_cls: 5.0821, loss: 5.0821 +2025-04-30 17:33:37,907 - pyskl - INFO - Epoch [3][700/2353] lr: 2.499e-02, eta: 1 day, 18:54:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.5787, top5_acc: 0.8856, loss_cls: 5.1547, loss: 5.1547 +2025-04-30 17:34:22,183 - pyskl - INFO - Epoch [3][800/2353] lr: 2.498e-02, eta: 1 day, 18:53:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5900, top5_acc: 0.8900, loss_cls: 5.1387, loss: 5.1387 +2025-04-30 17:35:06,471 - pyskl - INFO - Epoch [3][900/2353] lr: 2.498e-02, eta: 1 day, 18:52:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6088, top5_acc: 0.9131, loss_cls: 4.8123, loss: 4.8123 +2025-04-30 17:35:50,817 - pyskl - INFO - Epoch [3][1000/2353] lr: 2.498e-02, eta: 1 day, 18:52:04, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.5831, top5_acc: 0.8712, loss_cls: 5.1714, loss: 5.1714 +2025-04-30 17:36:35,015 - pyskl - INFO - Epoch [3][1100/2353] lr: 2.498e-02, eta: 1 day, 18:51:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6019, top5_acc: 0.8962, loss_cls: 4.8394, loss: 4.8394 +2025-04-30 17:37:19,264 - pyskl - INFO - Epoch [3][1200/2353] lr: 2.498e-02, eta: 1 day, 18:50:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6012, top5_acc: 0.9000, loss_cls: 4.9040, loss: 4.9040 +2025-04-30 17:38:03,507 - pyskl - INFO - Epoch [3][1300/2353] lr: 2.498e-02, eta: 1 day, 18:49:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6062, top5_acc: 0.9019, loss_cls: 4.8463, loss: 4.8463 +2025-04-30 17:38:47,692 - pyskl - INFO - Epoch [3][1400/2353] lr: 2.498e-02, eta: 1 day, 18:48:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6150, top5_acc: 0.9094, loss_cls: 4.8088, loss: 4.8088 +2025-04-30 17:39:31,980 - pyskl - INFO - Epoch [3][1500/2353] lr: 2.498e-02, eta: 1 day, 18:47:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6288, top5_acc: 0.9019, loss_cls: 4.8250, loss: 4.8250 +2025-04-30 17:40:16,116 - pyskl - INFO - Epoch [3][1600/2353] lr: 2.498e-02, eta: 1 day, 18:46:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6081, top5_acc: 0.9094, loss_cls: 4.7928, loss: 4.7928 +2025-04-30 17:41:00,305 - pyskl - INFO - Epoch [3][1700/2353] lr: 2.498e-02, eta: 1 day, 18:45:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6450, top5_acc: 0.9169, loss_cls: 4.6959, loss: 4.6959 +2025-04-30 17:41:44,504 - pyskl - INFO - Epoch [3][1800/2353] lr: 2.498e-02, eta: 1 day, 18:44:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6475, top5_acc: 0.9169, loss_cls: 4.6727, loss: 4.6727 +2025-04-30 17:42:28,798 - pyskl - INFO - Epoch [3][1900/2353] lr: 2.498e-02, eta: 1 day, 18:43:39, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6350, top5_acc: 0.9144, loss_cls: 4.7164, loss: 4.7164 +2025-04-30 17:43:13,050 - pyskl - INFO - Epoch [3][2000/2353] lr: 2.498e-02, eta: 1 day, 18:42:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6469, top5_acc: 0.9069, loss_cls: 4.7872, loss: 4.7872 +2025-04-30 17:43:57,245 - pyskl - INFO - Epoch [3][2100/2353] lr: 2.498e-02, eta: 1 day, 18:41:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.5988, top5_acc: 0.9050, loss_cls: 4.8923, loss: 4.8923 +2025-04-30 17:44:41,603 - pyskl - INFO - Epoch [3][2200/2353] lr: 2.498e-02, eta: 1 day, 18:41:04, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.6131, top5_acc: 0.9000, loss_cls: 4.9211, loss: 4.9211 +2025-04-30 17:45:25,871 - pyskl - INFO - Epoch [3][2300/2353] lr: 2.498e-02, eta: 1 day, 18:40:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6306, top5_acc: 0.9113, loss_cls: 4.8756, loss: 4.8756 +2025-04-30 17:45:50,068 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-04-30 17:47:19,815 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 17:47:19,892 - pyskl - INFO - +top1_acc 0.5784 +top5_acc 0.9030 +2025-04-30 17:47:19,947 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_2.pth was removed +2025-04-30 17:47:21,033 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-04-30 17:47:21,033 - pyskl - INFO - Best top1_acc is 0.5784 at 3 epoch. +2025-04-30 17:47:21,036 - pyskl - INFO - Epoch(val) [3][1184] top1_acc: 0.5784, top5_acc: 0.9030 +2025-04-30 17:48:26,287 - pyskl - INFO - Epoch [4][100/2353] lr: 2.497e-02, eta: 1 day, 18:36:55, time: 0.652, data_time: 0.211, memory: 13127, top1_acc: 0.6194, top5_acc: 0.9075, loss_cls: 4.7755, loss: 4.7755 +2025-04-30 17:49:10,395 - pyskl - INFO - Epoch [4][200/2353] lr: 2.497e-02, eta: 1 day, 18:35:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6362, top5_acc: 0.9294, loss_cls: 4.6571, loss: 4.6571 +2025-04-30 17:49:54,588 - pyskl - INFO - Epoch [4][300/2353] lr: 2.497e-02, eta: 1 day, 18:35:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6281, top5_acc: 0.9250, loss_cls: 4.5777, loss: 4.5777 +2025-04-30 17:50:38,742 - pyskl - INFO - Epoch [4][400/2353] lr: 2.497e-02, eta: 1 day, 18:34:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6438, top5_acc: 0.9175, loss_cls: 4.6849, loss: 4.6849 +2025-04-30 17:51:22,931 - pyskl - INFO - Epoch [4][500/2353] lr: 2.497e-02, eta: 1 day, 18:33:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6587, top5_acc: 0.9150, loss_cls: 4.6165, loss: 4.6165 +2025-04-30 17:52:07,059 - pyskl - INFO - Epoch [4][600/2353] lr: 2.497e-02, eta: 1 day, 18:32:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6769, top5_acc: 0.9269, loss_cls: 4.4920, loss: 4.4920 +2025-04-30 17:52:51,291 - pyskl - INFO - Epoch [4][700/2353] lr: 2.497e-02, eta: 1 day, 18:31:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6613, top5_acc: 0.9231, loss_cls: 4.5579, loss: 4.5579 +2025-04-30 17:53:35,603 - pyskl - INFO - Epoch [4][800/2353] lr: 2.497e-02, eta: 1 day, 18:30:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6637, top5_acc: 0.9213, loss_cls: 4.5927, loss: 4.5927 +2025-04-30 17:54:19,758 - pyskl - INFO - Epoch [4][900/2353] lr: 2.497e-02, eta: 1 day, 18:29:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6600, top5_acc: 0.9331, loss_cls: 4.5347, loss: 4.5347 +2025-04-30 17:55:03,902 - pyskl - INFO - Epoch [4][1000/2353] lr: 2.497e-02, eta: 1 day, 18:29:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6575, top5_acc: 0.9181, loss_cls: 4.5985, loss: 4.5985 +2025-04-30 17:55:48,178 - pyskl - INFO - Epoch [4][1100/2353] lr: 2.497e-02, eta: 1 day, 18:28:16, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6737, top5_acc: 0.9363, loss_cls: 4.4462, loss: 4.4462 +2025-04-30 17:56:32,478 - pyskl - INFO - Epoch [4][1200/2353] lr: 2.497e-02, eta: 1 day, 18:27:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6550, top5_acc: 0.9294, loss_cls: 4.5638, loss: 4.5638 +2025-04-30 17:57:16,867 - pyskl - INFO - Epoch [4][1300/2353] lr: 2.497e-02, eta: 1 day, 18:26:47, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.6725, top5_acc: 0.9244, loss_cls: 4.4477, loss: 4.4477 +2025-04-30 17:58:01,172 - pyskl - INFO - Epoch [4][1400/2353] lr: 2.496e-02, eta: 1 day, 18:26:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6825, top5_acc: 0.9456, loss_cls: 4.2847, loss: 4.2847 +2025-04-30 17:58:45,434 - pyskl - INFO - Epoch [4][1500/2353] lr: 2.496e-02, eta: 1 day, 18:25:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6875, top5_acc: 0.9381, loss_cls: 4.3240, loss: 4.3240 +2025-04-30 17:59:29,752 - pyskl - INFO - Epoch [4][1600/2353] lr: 2.496e-02, eta: 1 day, 18:24:28, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6444, top5_acc: 0.9113, loss_cls: 4.6280, loss: 4.6280 +2025-04-30 18:00:13,988 - pyskl - INFO - Epoch [4][1700/2353] lr: 2.496e-02, eta: 1 day, 18:23:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6613, top5_acc: 0.9281, loss_cls: 4.4594, loss: 4.4594 +2025-04-30 18:00:58,225 - pyskl - INFO - Epoch [4][1800/2353] lr: 2.496e-02, eta: 1 day, 18:22:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6744, top5_acc: 0.9300, loss_cls: 4.4110, loss: 4.4110 +2025-04-30 18:01:42,409 - pyskl - INFO - Epoch [4][1900/2353] lr: 2.496e-02, eta: 1 day, 18:22:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6725, top5_acc: 0.9306, loss_cls: 4.4251, loss: 4.4251 +2025-04-30 18:02:26,631 - pyskl - INFO - Epoch [4][2000/2353] lr: 2.496e-02, eta: 1 day, 18:21:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.6613, top5_acc: 0.9244, loss_cls: 4.5224, loss: 4.5224 +2025-04-30 18:03:11,002 - pyskl - INFO - Epoch [4][2100/2353] lr: 2.496e-02, eta: 1 day, 18:20:29, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.6869, top5_acc: 0.9219, loss_cls: 4.4412, loss: 4.4412 +2025-04-30 18:03:55,398 - pyskl - INFO - Epoch [4][2200/2353] lr: 2.496e-02, eta: 1 day, 18:19:47, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.6794, top5_acc: 0.9319, loss_cls: 4.4550, loss: 4.4550 +2025-04-30 18:04:39,818 - pyskl - INFO - Epoch [4][2300/2353] lr: 2.496e-02, eta: 1 day, 18:19:05, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.6806, top5_acc: 0.9431, loss_cls: 4.3761, loss: 4.3761 +2025-04-30 18:05:04,081 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-04-30 18:06:34,133 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 18:06:34,210 - pyskl - INFO - +top1_acc 0.5662 +top5_acc 0.8949 +2025-04-30 18:06:34,214 - pyskl - INFO - Epoch(val) [4][1184] top1_acc: 0.5662, top5_acc: 0.8949 +2025-04-30 18:07:39,774 - pyskl - INFO - Epoch [5][100/2353] lr: 2.496e-02, eta: 1 day, 18:16:35, time: 0.656, data_time: 0.215, memory: 13127, top1_acc: 0.6950, top5_acc: 0.9369, loss_cls: 4.3277, loss: 4.3277 +2025-04-30 18:08:23,747 - pyskl - INFO - Epoch [5][200/2353] lr: 2.495e-02, eta: 1 day, 18:15:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.6919, top5_acc: 0.9363, loss_cls: 4.3314, loss: 4.3314 +2025-04-30 18:09:07,787 - pyskl - INFO - Epoch [5][300/2353] lr: 2.495e-02, eta: 1 day, 18:14:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.6963, top5_acc: 0.9356, loss_cls: 4.3271, loss: 4.3271 +2025-04-30 18:09:51,843 - pyskl - INFO - Epoch [5][400/2353] lr: 2.495e-02, eta: 1 day, 18:13:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7006, top5_acc: 0.9506, loss_cls: 4.1432, loss: 4.1432 +2025-04-30 18:10:35,835 - pyskl - INFO - Epoch [5][500/2353] lr: 2.495e-02, eta: 1 day, 18:12:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7131, top5_acc: 0.9337, loss_cls: 4.2907, loss: 4.2907 +2025-04-30 18:11:19,758 - pyskl - INFO - Epoch [5][600/2353] lr: 2.495e-02, eta: 1 day, 18:11:59, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.6875, top5_acc: 0.9313, loss_cls: 4.3355, loss: 4.3355 +2025-04-30 18:12:03,707 - pyskl - INFO - Epoch [5][700/2353] lr: 2.495e-02, eta: 1 day, 18:11:03, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7113, top5_acc: 0.9369, loss_cls: 4.0761, loss: 4.0761 +2025-04-30 18:12:47,738 - pyskl - INFO - Epoch [5][800/2353] lr: 2.495e-02, eta: 1 day, 18:10:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7056, top5_acc: 0.9337, loss_cls: 4.3216, loss: 4.3216 +2025-04-30 18:13:31,791 - pyskl - INFO - Epoch [5][900/2353] lr: 2.495e-02, eta: 1 day, 18:09:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6900, top5_acc: 0.9337, loss_cls: 4.2443, loss: 4.2443 +2025-04-30 18:14:15,800 - pyskl - INFO - Epoch [5][1000/2353] lr: 2.495e-02, eta: 1 day, 18:08:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7013, top5_acc: 0.9400, loss_cls: 4.2576, loss: 4.2576 +2025-04-30 18:14:59,842 - pyskl - INFO - Epoch [5][1100/2353] lr: 2.495e-02, eta: 1 day, 18:07:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7150, top5_acc: 0.9469, loss_cls: 4.1389, loss: 4.1389 +2025-04-30 18:15:43,850 - pyskl - INFO - Epoch [5][1200/2353] lr: 2.494e-02, eta: 1 day, 18:06:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7013, top5_acc: 0.9350, loss_cls: 4.2924, loss: 4.2924 +2025-04-30 18:16:27,930 - pyskl - INFO - Epoch [5][1300/2353] lr: 2.494e-02, eta: 1 day, 18:05:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7106, top5_acc: 0.9400, loss_cls: 4.1803, loss: 4.1803 +2025-04-30 18:17:11,946 - pyskl - INFO - Epoch [5][1400/2353] lr: 2.494e-02, eta: 1 day, 18:04:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7081, top5_acc: 0.9469, loss_cls: 4.2202, loss: 4.2202 +2025-04-30 18:17:55,975 - pyskl - INFO - Epoch [5][1500/2353] lr: 2.494e-02, eta: 1 day, 18:04:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7081, top5_acc: 0.9250, loss_cls: 4.3028, loss: 4.3028 +2025-04-30 18:18:39,931 - pyskl - INFO - Epoch [5][1600/2353] lr: 2.494e-02, eta: 1 day, 18:03:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.6963, top5_acc: 0.9350, loss_cls: 4.2951, loss: 4.2951 +2025-04-30 18:19:23,979 - pyskl - INFO - Epoch [5][1700/2353] lr: 2.494e-02, eta: 1 day, 18:02:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7137, top5_acc: 0.9381, loss_cls: 4.3365, loss: 4.3365 +2025-04-30 18:20:08,008 - pyskl - INFO - Epoch [5][1800/2353] lr: 2.494e-02, eta: 1 day, 18:01:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.6963, top5_acc: 0.9413, loss_cls: 4.2350, loss: 4.2350 +2025-04-30 18:20:52,082 - pyskl - INFO - Epoch [5][1900/2353] lr: 2.494e-02, eta: 1 day, 18:00:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7150, top5_acc: 0.9381, loss_cls: 4.0919, loss: 4.0919 +2025-04-30 18:21:36,399 - pyskl - INFO - Epoch [5][2000/2353] lr: 2.494e-02, eta: 1 day, 17:59:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.6956, top5_acc: 0.9381, loss_cls: 4.2522, loss: 4.2522 +2025-04-30 18:22:20,467 - pyskl - INFO - Epoch [5][2100/2353] lr: 2.493e-02, eta: 1 day, 17:59:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6919, top5_acc: 0.9356, loss_cls: 4.2399, loss: 4.2399 +2025-04-30 18:23:04,615 - pyskl - INFO - Epoch [5][2200/2353] lr: 2.493e-02, eta: 1 day, 17:58:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.6994, top5_acc: 0.9363, loss_cls: 4.2016, loss: 4.2016 +2025-04-30 18:23:48,714 - pyskl - INFO - Epoch [5][2300/2353] lr: 2.493e-02, eta: 1 day, 17:57:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7106, top5_acc: 0.9419, loss_cls: 4.1557, loss: 4.1557 +2025-04-30 18:24:12,679 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-04-30 18:25:42,691 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 18:25:42,768 - pyskl - INFO - +top1_acc 0.7140 +top5_acc 0.9518 +2025-04-30 18:25:42,833 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_3.pth was removed +2025-04-30 18:25:44,001 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-04-30 18:25:44,002 - pyskl - INFO - Best top1_acc is 0.7140 at 5 epoch. +2025-04-30 18:25:44,005 - pyskl - INFO - Epoch(val) [5][1184] top1_acc: 0.7140, top5_acc: 0.9518 +2025-04-30 18:26:49,150 - pyskl - INFO - Epoch [6][100/2353] lr: 2.493e-02, eta: 1 day, 17:55:03, time: 0.651, data_time: 0.212, memory: 13127, top1_acc: 0.7081, top5_acc: 0.9356, loss_cls: 4.1331, loss: 4.1331 +2025-04-30 18:27:33,129 - pyskl - INFO - Epoch [6][200/2353] lr: 2.493e-02, eta: 1 day, 17:54:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7212, top5_acc: 0.9381, loss_cls: 4.1197, loss: 4.1197 +2025-04-30 18:28:17,218 - pyskl - INFO - Epoch [6][300/2353] lr: 2.493e-02, eta: 1 day, 17:53:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7375, top5_acc: 0.9394, loss_cls: 4.1663, loss: 4.1663 +2025-04-30 18:29:01,282 - pyskl - INFO - Epoch [6][400/2353] lr: 2.493e-02, eta: 1 day, 17:52:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7256, top5_acc: 0.9481, loss_cls: 4.1038, loss: 4.1038 +2025-04-30 18:29:45,366 - pyskl - INFO - Epoch [6][500/2353] lr: 2.493e-02, eta: 1 day, 17:51:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7006, top5_acc: 0.9356, loss_cls: 4.2582, loss: 4.2582 +2025-04-30 18:30:29,488 - pyskl - INFO - Epoch [6][600/2353] lr: 2.492e-02, eta: 1 day, 17:50:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7250, top5_acc: 0.9437, loss_cls: 4.0993, loss: 4.0993 +2025-04-30 18:31:13,517 - pyskl - INFO - Epoch [6][700/2353] lr: 2.492e-02, eta: 1 day, 17:50:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7212, top5_acc: 0.9469, loss_cls: 4.0963, loss: 4.0963 +2025-04-30 18:31:57,806 - pyskl - INFO - Epoch [6][800/2353] lr: 2.492e-02, eta: 1 day, 17:49:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7113, top5_acc: 0.9363, loss_cls: 4.2109, loss: 4.2109 +2025-04-30 18:32:41,973 - pyskl - INFO - Epoch [6][900/2353] lr: 2.492e-02, eta: 1 day, 17:48:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7300, top5_acc: 0.9419, loss_cls: 4.1036, loss: 4.1036 +2025-04-30 18:33:26,046 - pyskl - INFO - Epoch [6][1000/2353] lr: 2.492e-02, eta: 1 day, 17:47:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7250, top5_acc: 0.9537, loss_cls: 4.0684, loss: 4.0684 +2025-04-30 18:34:10,050 - pyskl - INFO - Epoch [6][1100/2353] lr: 2.492e-02, eta: 1 day, 17:47:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7288, top5_acc: 0.9406, loss_cls: 4.0828, loss: 4.0828 +2025-04-30 18:34:54,049 - pyskl - INFO - Epoch [6][1200/2353] lr: 2.492e-02, eta: 1 day, 17:46:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7094, top5_acc: 0.9375, loss_cls: 4.1864, loss: 4.1864 +2025-04-30 18:35:38,081 - pyskl - INFO - Epoch [6][1300/2353] lr: 2.492e-02, eta: 1 day, 17:45:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7150, top5_acc: 0.9331, loss_cls: 4.0724, loss: 4.0724 +2025-04-30 18:36:22,118 - pyskl - INFO - Epoch [6][1400/2353] lr: 2.491e-02, eta: 1 day, 17:44:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7188, top5_acc: 0.9313, loss_cls: 4.1640, loss: 4.1640 +2025-04-30 18:37:06,215 - pyskl - INFO - Epoch [6][1500/2353] lr: 2.491e-02, eta: 1 day, 17:43:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7306, top5_acc: 0.9444, loss_cls: 4.0690, loss: 4.0690 +2025-04-30 18:37:50,274 - pyskl - INFO - Epoch [6][1600/2353] lr: 2.491e-02, eta: 1 day, 17:42:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7119, top5_acc: 0.9400, loss_cls: 4.1453, loss: 4.1453 +2025-04-30 18:38:34,371 - pyskl - INFO - Epoch [6][1700/2353] lr: 2.491e-02, eta: 1 day, 17:42:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7206, top5_acc: 0.9513, loss_cls: 4.0663, loss: 4.0663 +2025-04-30 18:39:18,504 - pyskl - INFO - Epoch [6][1800/2353] lr: 2.491e-02, eta: 1 day, 17:41:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7362, top5_acc: 0.9450, loss_cls: 4.0016, loss: 4.0016 +2025-04-30 18:40:02,743 - pyskl - INFO - Epoch [6][1900/2353] lr: 2.491e-02, eta: 1 day, 17:40:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7150, top5_acc: 0.9513, loss_cls: 4.0372, loss: 4.0372 +2025-04-30 18:40:46,833 - pyskl - INFO - Epoch [6][2000/2353] lr: 2.491e-02, eta: 1 day, 17:39:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7188, top5_acc: 0.9450, loss_cls: 4.0403, loss: 4.0403 +2025-04-30 18:41:30,887 - pyskl - INFO - Epoch [6][2100/2353] lr: 2.490e-02, eta: 1 day, 17:39:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7150, top5_acc: 0.9369, loss_cls: 4.2574, loss: 4.2574 +2025-04-30 18:42:14,926 - pyskl - INFO - Epoch [6][2200/2353] lr: 2.490e-02, eta: 1 day, 17:38:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7369, top5_acc: 0.9563, loss_cls: 4.0001, loss: 4.0001 +2025-04-30 18:42:58,855 - pyskl - INFO - Epoch [6][2300/2353] lr: 2.490e-02, eta: 1 day, 17:37:22, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7200, top5_acc: 0.9563, loss_cls: 4.0934, loss: 4.0934 +2025-04-30 18:43:22,799 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-04-30 18:44:52,660 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 18:44:52,735 - pyskl - INFO - +top1_acc 0.7353 +top5_acc 0.9558 +2025-04-30 18:44:52,796 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_5.pth was removed +2025-04-30 18:44:53,939 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-04-30 18:44:53,939 - pyskl - INFO - Best top1_acc is 0.7353 at 6 epoch. +2025-04-30 18:44:53,943 - pyskl - INFO - Epoch(val) [6][1184] top1_acc: 0.7353, top5_acc: 0.9558 +2025-04-30 18:45:58,740 - pyskl - INFO - Epoch [7][100/2353] lr: 2.490e-02, eta: 1 day, 17:35:06, time: 0.648, data_time: 0.209, memory: 13127, top1_acc: 0.7194, top5_acc: 0.9475, loss_cls: 4.0739, loss: 4.0739 +2025-04-30 18:46:42,831 - pyskl - INFO - Epoch [7][200/2353] lr: 2.490e-02, eta: 1 day, 17:34:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7419, top5_acc: 0.9425, loss_cls: 4.0654, loss: 4.0654 +2025-04-30 18:47:26,900 - pyskl - INFO - Epoch [7][300/2353] lr: 2.490e-02, eta: 1 day, 17:33:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9481, loss_cls: 3.9749, loss: 3.9749 +2025-04-30 18:48:11,011 - pyskl - INFO - Epoch [7][400/2353] lr: 2.490e-02, eta: 1 day, 17:32:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7175, top5_acc: 0.9413, loss_cls: 4.0982, loss: 4.0982 +2025-04-30 18:48:55,069 - pyskl - INFO - Epoch [7][500/2353] lr: 2.489e-02, eta: 1 day, 17:31:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7206, top5_acc: 0.9463, loss_cls: 4.0664, loss: 4.0664 +2025-04-30 18:49:39,167 - pyskl - INFO - Epoch [7][600/2353] lr: 2.489e-02, eta: 1 day, 17:31:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7419, top5_acc: 0.9463, loss_cls: 3.9668, loss: 3.9668 +2025-04-30 18:50:23,248 - pyskl - INFO - Epoch [7][700/2353] lr: 2.489e-02, eta: 1 day, 17:30:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7331, top5_acc: 0.9569, loss_cls: 3.9381, loss: 3.9381 +2025-04-30 18:51:07,417 - pyskl - INFO - Epoch [7][800/2353] lr: 2.489e-02, eta: 1 day, 17:29:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7494, top5_acc: 0.9481, loss_cls: 3.8866, loss: 3.8866 +2025-04-30 18:51:51,668 - pyskl - INFO - Epoch [7][900/2353] lr: 2.489e-02, eta: 1 day, 17:28:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7425, top5_acc: 0.9569, loss_cls: 4.0010, loss: 4.0010 +2025-04-30 18:52:35,850 - pyskl - INFO - Epoch [7][1000/2353] lr: 2.489e-02, eta: 1 day, 17:28:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7531, top5_acc: 0.9544, loss_cls: 3.9162, loss: 3.9162 +2025-04-30 18:53:19,967 - pyskl - INFO - Epoch [7][1100/2353] lr: 2.489e-02, eta: 1 day, 17:27:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7369, top5_acc: 0.9550, loss_cls: 4.0175, loss: 4.0175 +2025-04-30 18:54:04,058 - pyskl - INFO - Epoch [7][1200/2353] lr: 2.488e-02, eta: 1 day, 17:26:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7531, top5_acc: 0.9400, loss_cls: 3.8923, loss: 3.8923 +2025-04-30 18:54:48,230 - pyskl - INFO - Epoch [7][1300/2353] lr: 2.488e-02, eta: 1 day, 17:25:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7412, top5_acc: 0.9587, loss_cls: 4.0346, loss: 4.0346 +2025-04-30 18:55:32,337 - pyskl - INFO - Epoch [7][1400/2353] lr: 2.488e-02, eta: 1 day, 17:25:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7200, top5_acc: 0.9500, loss_cls: 4.0939, loss: 4.0939 +2025-04-30 18:56:16,407 - pyskl - INFO - Epoch [7][1500/2353] lr: 2.488e-02, eta: 1 day, 17:24:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7244, top5_acc: 0.9494, loss_cls: 4.0518, loss: 4.0518 +2025-04-30 18:57:00,526 - pyskl - INFO - Epoch [7][1600/2353] lr: 2.488e-02, eta: 1 day, 17:23:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7163, top5_acc: 0.9456, loss_cls: 4.1201, loss: 4.1201 +2025-04-30 18:57:44,789 - pyskl - INFO - Epoch [7][1700/2353] lr: 2.488e-02, eta: 1 day, 17:22:56, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7288, top5_acc: 0.9437, loss_cls: 4.1058, loss: 4.1058 +2025-04-30 18:58:29,062 - pyskl - INFO - Epoch [7][1800/2353] lr: 2.487e-02, eta: 1 day, 17:22:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7512, top5_acc: 0.9519, loss_cls: 3.9266, loss: 3.9266 +2025-04-30 18:59:13,338 - pyskl - INFO - Epoch [7][1900/2353] lr: 2.487e-02, eta: 1 day, 17:21:31, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7462, top5_acc: 0.9469, loss_cls: 3.9317, loss: 3.9317 +2025-04-30 18:59:57,531 - pyskl - INFO - Epoch [7][2000/2353] lr: 2.487e-02, eta: 1 day, 17:20:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7556, top5_acc: 0.9437, loss_cls: 3.9146, loss: 3.9146 +2025-04-30 19:00:41,694 - pyskl - INFO - Epoch [7][2100/2353] lr: 2.487e-02, eta: 1 day, 17:20:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9550, loss_cls: 3.9472, loss: 3.9472 +2025-04-30 19:01:25,867 - pyskl - INFO - Epoch [7][2200/2353] lr: 2.487e-02, eta: 1 day, 17:19:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7456, top5_acc: 0.9506, loss_cls: 3.8657, loss: 3.8657 +2025-04-30 19:02:09,982 - pyskl - INFO - Epoch [7][2300/2353] lr: 2.487e-02, eta: 1 day, 17:18:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7125, top5_acc: 0.9506, loss_cls: 3.9976, loss: 3.9976 +2025-04-30 19:02:34,094 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-04-30 19:04:03,917 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 19:04:03,995 - pyskl - INFO - +top1_acc 0.7767 +top5_acc 0.9709 +2025-04-30 19:04:04,053 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_6.pth was removed +2025-04-30 19:04:05,192 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-04-30 19:04:05,193 - pyskl - INFO - Best top1_acc is 0.7767 at 7 epoch. +2025-04-30 19:04:05,196 - pyskl - INFO - Epoch(val) [7][1184] top1_acc: 0.7767, top5_acc: 0.9709 +2025-04-30 19:05:10,590 - pyskl - INFO - Epoch [8][100/2353] lr: 2.486e-02, eta: 1 day, 17:16:39, time: 0.654, data_time: 0.213, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9450, loss_cls: 3.8615, loss: 3.8615 +2025-04-30 19:05:54,749 - pyskl - INFO - Epoch [8][200/2353] lr: 2.486e-02, eta: 1 day, 17:15:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7344, top5_acc: 0.9531, loss_cls: 3.9151, loss: 3.9151 +2025-04-30 19:06:39,043 - pyskl - INFO - Epoch [8][300/2353] lr: 2.486e-02, eta: 1 day, 17:15:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7525, top5_acc: 0.9606, loss_cls: 3.6866, loss: 3.6866 +2025-04-30 19:07:23,098 - pyskl - INFO - Epoch [8][400/2353] lr: 2.486e-02, eta: 1 day, 17:14:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7375, top5_acc: 0.9425, loss_cls: 3.9516, loss: 3.9516 +2025-04-30 19:08:07,180 - pyskl - INFO - Epoch [8][500/2353] lr: 2.486e-02, eta: 1 day, 17:13:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7600, top5_acc: 0.9619, loss_cls: 3.8235, loss: 3.8235 +2025-04-30 19:08:51,324 - pyskl - INFO - Epoch [8][600/2353] lr: 2.486e-02, eta: 1 day, 17:12:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7438, top5_acc: 0.9500, loss_cls: 3.7933, loss: 3.7933 +2025-04-30 19:09:35,463 - pyskl - INFO - Epoch [8][700/2353] lr: 2.485e-02, eta: 1 day, 17:12:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7319, top5_acc: 0.9531, loss_cls: 4.0026, loss: 4.0026 +2025-04-30 19:10:19,651 - pyskl - INFO - Epoch [8][800/2353] lr: 2.485e-02, eta: 1 day, 17:11:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7531, top5_acc: 0.9494, loss_cls: 3.8534, loss: 3.8534 +2025-04-30 19:11:03,736 - pyskl - INFO - Epoch [8][900/2353] lr: 2.485e-02, eta: 1 day, 17:10:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7600, top5_acc: 0.9513, loss_cls: 3.8569, loss: 3.8569 +2025-04-30 19:11:47,875 - pyskl - INFO - Epoch [8][1000/2353] lr: 2.485e-02, eta: 1 day, 17:09:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7544, top5_acc: 0.9569, loss_cls: 3.8240, loss: 3.8240 +2025-04-30 19:12:32,014 - pyskl - INFO - Epoch [8][1100/2353] lr: 2.485e-02, eta: 1 day, 17:09:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7481, top5_acc: 0.9594, loss_cls: 3.8427, loss: 3.8427 +2025-04-30 19:13:16,209 - pyskl - INFO - Epoch [8][1200/2353] lr: 2.485e-02, eta: 1 day, 17:08:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7375, top5_acc: 0.9544, loss_cls: 3.9662, loss: 3.9662 +2025-04-30 19:14:00,498 - pyskl - INFO - Epoch [8][1300/2353] lr: 2.484e-02, eta: 1 day, 17:07:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7594, top5_acc: 0.9550, loss_cls: 3.9180, loss: 3.9180 +2025-04-30 19:14:44,642 - pyskl - INFO - Epoch [8][1400/2353] lr: 2.484e-02, eta: 1 day, 17:07:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9513, loss_cls: 3.7942, loss: 3.7942 +2025-04-30 19:15:28,715 - pyskl - INFO - Epoch [8][1500/2353] lr: 2.484e-02, eta: 1 day, 17:06:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7312, top5_acc: 0.9606, loss_cls: 3.9317, loss: 3.9317 +2025-04-30 19:16:12,983 - pyskl - INFO - Epoch [8][1600/2353] lr: 2.484e-02, eta: 1 day, 17:05:32, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7581, top5_acc: 0.9550, loss_cls: 3.8101, loss: 3.8101 +2025-04-30 19:16:57,240 - pyskl - INFO - Epoch [8][1700/2353] lr: 2.484e-02, eta: 1 day, 17:04:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7481, top5_acc: 0.9487, loss_cls: 3.8984, loss: 3.8984 +2025-04-30 19:17:41,496 - pyskl - INFO - Epoch [8][1800/2353] lr: 2.484e-02, eta: 1 day, 17:04:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7500, top5_acc: 0.9500, loss_cls: 3.9434, loss: 3.9434 +2025-04-30 19:18:25,719 - pyskl - INFO - Epoch [8][1900/2353] lr: 2.483e-02, eta: 1 day, 17:03:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7462, top5_acc: 0.9563, loss_cls: 3.9737, loss: 3.9737 +2025-04-30 19:19:10,127 - pyskl - INFO - Epoch [8][2000/2353] lr: 2.483e-02, eta: 1 day, 17:02:43, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7625, top5_acc: 0.9569, loss_cls: 3.8974, loss: 3.8974 +2025-04-30 19:19:54,224 - pyskl - INFO - Epoch [8][2100/2353] lr: 2.483e-02, eta: 1 day, 17:01:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7400, top5_acc: 0.9456, loss_cls: 3.9570, loss: 3.9570 +2025-04-30 19:20:38,262 - pyskl - INFO - Epoch [8][2200/2353] lr: 2.483e-02, eta: 1 day, 17:01:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7412, top5_acc: 0.9525, loss_cls: 3.8761, loss: 3.8761 +2025-04-30 19:21:22,279 - pyskl - INFO - Epoch [8][2300/2353] lr: 2.483e-02, eta: 1 day, 17:00:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7350, top5_acc: 0.9437, loss_cls: 3.9705, loss: 3.9705 +2025-04-30 19:21:46,311 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-04-30 19:23:16,371 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 19:23:16,448 - pyskl - INFO - +top1_acc 0.7187 +top5_acc 0.9505 +2025-04-30 19:23:16,452 - pyskl - INFO - Epoch(val) [8][1184] top1_acc: 0.7187, top5_acc: 0.9505 +2025-04-30 19:24:21,786 - pyskl - INFO - Epoch [9][100/2353] lr: 2.482e-02, eta: 1 day, 16:58:36, time: 0.653, data_time: 0.213, memory: 13127, top1_acc: 0.7625, top5_acc: 0.9594, loss_cls: 3.8402, loss: 3.8402 +2025-04-30 19:25:05,710 - pyskl - INFO - Epoch [9][200/2353] lr: 2.482e-02, eta: 1 day, 16:57:48, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7638, top5_acc: 0.9606, loss_cls: 3.8389, loss: 3.8389 +2025-04-30 19:25:49,602 - pyskl - INFO - Epoch [9][300/2353] lr: 2.482e-02, eta: 1 day, 16:56:59, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7562, top5_acc: 0.9513, loss_cls: 3.8395, loss: 3.8395 +2025-04-30 19:26:33,661 - pyskl - INFO - Epoch [9][400/2353] lr: 2.482e-02, eta: 1 day, 16:56:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7612, top5_acc: 0.9594, loss_cls: 3.7836, loss: 3.7836 +2025-04-30 19:27:17,707 - pyskl - INFO - Epoch [9][500/2353] lr: 2.482e-02, eta: 1 day, 16:55:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9563, loss_cls: 3.6997, loss: 3.6997 +2025-04-30 19:28:01,788 - pyskl - INFO - Epoch [9][600/2353] lr: 2.481e-02, eta: 1 day, 16:54:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7444, top5_acc: 0.9606, loss_cls: 3.8504, loss: 3.8504 +2025-04-30 19:28:45,938 - pyskl - INFO - Epoch [9][700/2353] lr: 2.481e-02, eta: 1 day, 16:53:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7575, top5_acc: 0.9556, loss_cls: 3.9342, loss: 3.9342 +2025-04-30 19:29:30,057 - pyskl - INFO - Epoch [9][800/2353] lr: 2.481e-02, eta: 1 day, 16:53:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7562, top5_acc: 0.9594, loss_cls: 3.7122, loss: 3.7122 +2025-04-30 19:30:14,179 - pyskl - INFO - Epoch [9][900/2353] lr: 2.481e-02, eta: 1 day, 16:52:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7425, top5_acc: 0.9519, loss_cls: 3.9276, loss: 3.9276 +2025-04-30 19:30:58,182 - pyskl - INFO - Epoch [9][1000/2353] lr: 2.481e-02, eta: 1 day, 16:51:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7606, top5_acc: 0.9606, loss_cls: 3.8175, loss: 3.8175 +2025-04-30 19:31:42,223 - pyskl - INFO - Epoch [9][1100/2353] lr: 2.480e-02, eta: 1 day, 16:50:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7625, top5_acc: 0.9544, loss_cls: 3.7076, loss: 3.7076 +2025-04-30 19:32:26,342 - pyskl - INFO - Epoch [9][1200/2353] lr: 2.480e-02, eta: 1 day, 16:50:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9669, loss_cls: 3.5981, loss: 3.5981 +2025-04-30 19:33:10,356 - pyskl - INFO - Epoch [9][1300/2353] lr: 2.480e-02, eta: 1 day, 16:49:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7619, top5_acc: 0.9531, loss_cls: 3.7897, loss: 3.7897 +2025-04-30 19:33:54,414 - pyskl - INFO - Epoch [9][1400/2353] lr: 2.480e-02, eta: 1 day, 16:48:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7606, top5_acc: 0.9525, loss_cls: 3.8644, loss: 3.8644 +2025-04-30 19:34:38,564 - pyskl - INFO - Epoch [9][1500/2353] lr: 2.480e-02, eta: 1 day, 16:47:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9631, loss_cls: 3.7383, loss: 3.7383 +2025-04-30 19:35:22,603 - pyskl - INFO - Epoch [9][1600/2353] lr: 2.479e-02, eta: 1 day, 16:47:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7438, top5_acc: 0.9544, loss_cls: 3.8743, loss: 3.8743 +2025-04-30 19:36:06,951 - pyskl - INFO - Epoch [9][1700/2353] lr: 2.479e-02, eta: 1 day, 16:46:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7594, top5_acc: 0.9631, loss_cls: 3.7745, loss: 3.7745 +2025-04-30 19:36:50,865 - pyskl - INFO - Epoch [9][1800/2353] lr: 2.479e-02, eta: 1 day, 16:45:38, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7600, top5_acc: 0.9625, loss_cls: 3.7253, loss: 3.7253 +2025-04-30 19:37:34,943 - pyskl - INFO - Epoch [9][1900/2353] lr: 2.479e-02, eta: 1 day, 16:44:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7412, top5_acc: 0.9556, loss_cls: 3.8693, loss: 3.8693 +2025-04-30 19:38:19,055 - pyskl - INFO - Epoch [9][2000/2353] lr: 2.479e-02, eta: 1 day, 16:44:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7344, top5_acc: 0.9537, loss_cls: 3.9000, loss: 3.9000 +2025-04-30 19:39:03,140 - pyskl - INFO - Epoch [9][2100/2353] lr: 2.478e-02, eta: 1 day, 16:43:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7569, top5_acc: 0.9587, loss_cls: 3.7345, loss: 3.7345 +2025-04-30 19:39:47,163 - pyskl - INFO - Epoch [9][2200/2353] lr: 2.478e-02, eta: 1 day, 16:42:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9575, loss_cls: 3.6748, loss: 3.6748 +2025-04-30 19:40:31,240 - pyskl - INFO - Epoch [9][2300/2353] lr: 2.478e-02, eta: 1 day, 16:41:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7675, top5_acc: 0.9494, loss_cls: 3.8085, loss: 3.8085 +2025-04-30 19:40:55,334 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-04-30 19:42:25,468 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 19:42:25,547 - pyskl - INFO - +top1_acc 0.7939 +top5_acc 0.9716 +2025-04-30 19:42:25,609 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_7.pth was removed +2025-04-30 19:42:26,744 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-04-30 19:42:26,744 - pyskl - INFO - Best top1_acc is 0.7939 at 9 epoch. +2025-04-30 19:42:26,748 - pyskl - INFO - Epoch(val) [9][1184] top1_acc: 0.7939, top5_acc: 0.9716 +2025-04-30 19:43:31,926 - pyskl - INFO - Epoch [10][100/2353] lr: 2.478e-02, eta: 1 day, 16:40:06, time: 0.652, data_time: 0.210, memory: 13127, top1_acc: 0.7606, top5_acc: 0.9569, loss_cls: 3.7054, loss: 3.7054 +2025-04-30 19:44:16,137 - pyskl - INFO - Epoch [10][200/2353] lr: 2.477e-02, eta: 1 day, 16:39:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7600, top5_acc: 0.9475, loss_cls: 3.7719, loss: 3.7719 +2025-04-30 19:45:00,298 - pyskl - INFO - Epoch [10][300/2353] lr: 2.477e-02, eta: 1 day, 16:38:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7562, top5_acc: 0.9587, loss_cls: 3.8235, loss: 3.8235 +2025-04-30 19:45:44,432 - pyskl - INFO - Epoch [10][400/2353] lr: 2.477e-02, eta: 1 day, 16:37:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9581, loss_cls: 3.7216, loss: 3.7216 +2025-04-30 19:46:28,560 - pyskl - INFO - Epoch [10][500/2353] lr: 2.477e-02, eta: 1 day, 16:37:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7650, top5_acc: 0.9550, loss_cls: 3.7273, loss: 3.7273 +2025-04-30 19:47:12,674 - pyskl - INFO - Epoch [10][600/2353] lr: 2.477e-02, eta: 1 day, 16:36:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9656, loss_cls: 3.6451, loss: 3.6451 +2025-04-30 19:47:56,731 - pyskl - INFO - Epoch [10][700/2353] lr: 2.476e-02, eta: 1 day, 16:35:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7781, top5_acc: 0.9656, loss_cls: 3.7193, loss: 3.7193 +2025-04-30 19:48:40,818 - pyskl - INFO - Epoch [10][800/2353] lr: 2.476e-02, eta: 1 day, 16:34:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7619, top5_acc: 0.9569, loss_cls: 3.7951, loss: 3.7951 +2025-04-30 19:49:24,927 - pyskl - INFO - Epoch [10][900/2353] lr: 2.476e-02, eta: 1 day, 16:34:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7750, top5_acc: 0.9600, loss_cls: 3.7737, loss: 3.7737 +2025-04-30 19:50:09,041 - pyskl - INFO - Epoch [10][1000/2353] lr: 2.476e-02, eta: 1 day, 16:33:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7725, top5_acc: 0.9550, loss_cls: 3.7054, loss: 3.7054 +2025-04-30 19:50:53,116 - pyskl - INFO - Epoch [10][1100/2353] lr: 2.476e-02, eta: 1 day, 16:32:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9594, loss_cls: 3.7402, loss: 3.7402 +2025-04-30 19:51:37,171 - pyskl - INFO - Epoch [10][1200/2353] lr: 2.475e-02, eta: 1 day, 16:31:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7612, top5_acc: 0.9500, loss_cls: 3.7708, loss: 3.7708 +2025-04-30 19:52:21,176 - pyskl - INFO - Epoch [10][1300/2353] lr: 2.475e-02, eta: 1 day, 16:31:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9663, loss_cls: 3.6652, loss: 3.6652 +2025-04-30 19:53:05,304 - pyskl - INFO - Epoch [10][1400/2353] lr: 2.475e-02, eta: 1 day, 16:30:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9550, loss_cls: 3.7727, loss: 3.7727 +2025-04-30 19:53:49,394 - pyskl - INFO - Epoch [10][1500/2353] lr: 2.475e-02, eta: 1 day, 16:29:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9631, loss_cls: 3.7211, loss: 3.7211 +2025-04-30 19:54:33,645 - pyskl - INFO - Epoch [10][1600/2353] lr: 2.474e-02, eta: 1 day, 16:28:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7669, top5_acc: 0.9644, loss_cls: 3.6255, loss: 3.6255 +2025-04-30 19:55:17,749 - pyskl - INFO - Epoch [10][1700/2353] lr: 2.474e-02, eta: 1 day, 16:28:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9556, loss_cls: 3.6940, loss: 3.6940 +2025-04-30 19:56:01,890 - pyskl - INFO - Epoch [10][1800/2353] lr: 2.474e-02, eta: 1 day, 16:27:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7719, top5_acc: 0.9575, loss_cls: 3.7391, loss: 3.7391 +2025-04-30 19:56:46,040 - pyskl - INFO - Epoch [10][1900/2353] lr: 2.474e-02, eta: 1 day, 16:26:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7750, top5_acc: 0.9644, loss_cls: 3.6835, loss: 3.6835 +2025-04-30 19:57:30,146 - pyskl - INFO - Epoch [10][2000/2353] lr: 2.473e-02, eta: 1 day, 16:26:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9606, loss_cls: 3.6316, loss: 3.6316 +2025-04-30 19:58:14,329 - pyskl - INFO - Epoch [10][2100/2353] lr: 2.473e-02, eta: 1 day, 16:25:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7394, top5_acc: 0.9613, loss_cls: 3.7255, loss: 3.7255 +2025-04-30 19:58:58,446 - pyskl - INFO - Epoch [10][2200/2353] lr: 2.473e-02, eta: 1 day, 16:24:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9600, loss_cls: 3.7229, loss: 3.7229 +2025-04-30 19:59:42,598 - pyskl - INFO - Epoch [10][2300/2353] lr: 2.473e-02, eta: 1 day, 16:23:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9513, loss_cls: 3.7654, loss: 3.7654 +2025-04-30 20:00:06,670 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-04-30 20:01:36,578 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 20:01:36,657 - pyskl - INFO - +top1_acc 0.7775 +top5_acc 0.9686 +2025-04-30 20:01:36,660 - pyskl - INFO - Epoch(val) [10][1184] top1_acc: 0.7775, top5_acc: 0.9686 +2025-04-30 20:02:41,247 - pyskl - INFO - Epoch [11][100/2353] lr: 2.472e-02, eta: 1 day, 16:22:00, time: 0.646, data_time: 0.206, memory: 13127, top1_acc: 0.7775, top5_acc: 0.9556, loss_cls: 3.6482, loss: 3.6482 +2025-04-30 20:03:25,228 - pyskl - INFO - Epoch [11][200/2353] lr: 2.472e-02, eta: 1 day, 16:21:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9544, loss_cls: 3.7056, loss: 3.7056 +2025-04-30 20:04:09,174 - pyskl - INFO - Epoch [11][300/2353] lr: 2.472e-02, eta: 1 day, 16:20:27, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7700, top5_acc: 0.9594, loss_cls: 3.6897, loss: 3.6897 +2025-04-30 20:04:53,117 - pyskl - INFO - Epoch [11][400/2353] lr: 2.472e-02, eta: 1 day, 16:19:40, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7738, top5_acc: 0.9587, loss_cls: 3.6975, loss: 3.6975 +2025-04-30 20:05:37,081 - pyskl - INFO - Epoch [11][500/2353] lr: 2.472e-02, eta: 1 day, 16:18:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7675, top5_acc: 0.9631, loss_cls: 3.7349, loss: 3.7349 +2025-04-30 20:06:21,051 - pyskl - INFO - Epoch [11][600/2353] lr: 2.471e-02, eta: 1 day, 16:18:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7544, top5_acc: 0.9594, loss_cls: 3.7373, loss: 3.7373 +2025-04-30 20:07:05,154 - pyskl - INFO - Epoch [11][700/2353] lr: 2.471e-02, eta: 1 day, 16:17:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9600, loss_cls: 3.7510, loss: 3.7510 +2025-04-30 20:07:49,181 - pyskl - INFO - Epoch [11][800/2353] lr: 2.471e-02, eta: 1 day, 16:16:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9625, loss_cls: 3.5582, loss: 3.5582 +2025-04-30 20:08:33,312 - pyskl - INFO - Epoch [11][900/2353] lr: 2.471e-02, eta: 1 day, 16:15:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9644, loss_cls: 3.6666, loss: 3.6666 +2025-04-30 20:09:17,359 - pyskl - INFO - Epoch [11][1000/2353] lr: 2.470e-02, eta: 1 day, 16:15:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9563, loss_cls: 3.6899, loss: 3.6899 +2025-04-30 20:10:01,369 - pyskl - INFO - Epoch [11][1100/2353] lr: 2.470e-02, eta: 1 day, 16:14:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7569, top5_acc: 0.9575, loss_cls: 3.8042, loss: 3.8042 +2025-04-30 20:10:45,331 - pyskl - INFO - Epoch [11][1200/2353] lr: 2.470e-02, eta: 1 day, 16:13:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9656, loss_cls: 3.5575, loss: 3.5575 +2025-04-30 20:11:29,468 - pyskl - INFO - Epoch [11][1300/2353] lr: 2.470e-02, eta: 1 day, 16:12:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7556, top5_acc: 0.9650, loss_cls: 3.6923, loss: 3.6923 +2025-04-30 20:12:13,654 - pyskl - INFO - Epoch [11][1400/2353] lr: 2.469e-02, eta: 1 day, 16:12:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9656, loss_cls: 3.5125, loss: 3.5125 +2025-04-30 20:12:57,785 - pyskl - INFO - Epoch [11][1500/2353] lr: 2.469e-02, eta: 1 day, 16:11:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7556, top5_acc: 0.9513, loss_cls: 3.6968, loss: 3.6968 +2025-04-30 20:13:41,901 - pyskl - INFO - Epoch [11][1600/2353] lr: 2.469e-02, eta: 1 day, 16:10:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9581, loss_cls: 3.6083, loss: 3.6083 +2025-04-30 20:14:26,024 - pyskl - INFO - Epoch [11][1700/2353] lr: 2.469e-02, eta: 1 day, 16:09:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9650, loss_cls: 3.6259, loss: 3.6259 +2025-04-30 20:15:09,994 - pyskl - INFO - Epoch [11][1800/2353] lr: 2.468e-02, eta: 1 day, 16:09:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7719, top5_acc: 0.9637, loss_cls: 3.6852, loss: 3.6852 +2025-04-30 20:15:53,930 - pyskl - INFO - Epoch [11][1900/2353] lr: 2.468e-02, eta: 1 day, 16:08:25, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9644, loss_cls: 3.6103, loss: 3.6103 +2025-04-30 20:16:37,856 - pyskl - INFO - Epoch [11][2000/2353] lr: 2.468e-02, eta: 1 day, 16:07:38, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7575, top5_acc: 0.9669, loss_cls: 3.6235, loss: 3.6235 +2025-04-30 20:17:21,927 - pyskl - INFO - Epoch [11][2100/2353] lr: 2.468e-02, eta: 1 day, 16:06:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9656, loss_cls: 3.6050, loss: 3.6050 +2025-04-30 20:18:06,011 - pyskl - INFO - Epoch [11][2200/2353] lr: 2.467e-02, eta: 1 day, 16:06:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9637, loss_cls: 3.5897, loss: 3.5897 +2025-04-30 20:18:50,215 - pyskl - INFO - Epoch [11][2300/2353] lr: 2.467e-02, eta: 1 day, 16:05:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9631, loss_cls: 3.5301, loss: 3.5301 +2025-04-30 20:19:14,276 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-04-30 20:20:43,943 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 20:20:44,021 - pyskl - INFO - +top1_acc 0.8000 +top5_acc 0.9791 +2025-04-30 20:20:44,081 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_9.pth was removed +2025-04-30 20:20:45,205 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-04-30 20:20:45,205 - pyskl - INFO - Best top1_acc is 0.8000 at 11 epoch. +2025-04-30 20:20:45,209 - pyskl - INFO - Epoch(val) [11][1184] top1_acc: 0.8000, top5_acc: 0.9791 +2025-04-30 20:21:50,058 - pyskl - INFO - Epoch [12][100/2353] lr: 2.467e-02, eta: 1 day, 16:03:45, time: 0.648, data_time: 0.209, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9594, loss_cls: 3.4932, loss: 3.4932 +2025-04-30 20:22:34,009 - pyskl - INFO - Epoch [12][200/2353] lr: 2.466e-02, eta: 1 day, 16:02:59, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9681, loss_cls: 3.4725, loss: 3.4725 +2025-04-30 20:23:18,074 - pyskl - INFO - Epoch [12][300/2353] lr: 2.466e-02, eta: 1 day, 16:02:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7612, top5_acc: 0.9644, loss_cls: 3.5934, loss: 3.5934 +2025-04-30 20:24:02,122 - pyskl - INFO - Epoch [12][400/2353] lr: 2.466e-02, eta: 1 day, 16:01:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9644, loss_cls: 3.6440, loss: 3.6440 +2025-04-30 20:24:46,174 - pyskl - INFO - Epoch [12][500/2353] lr: 2.466e-02, eta: 1 day, 16:00:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9694, loss_cls: 3.6366, loss: 3.6366 +2025-04-30 20:25:30,161 - pyskl - INFO - Epoch [12][600/2353] lr: 2.465e-02, eta: 1 day, 15:59:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9650, loss_cls: 3.4604, loss: 3.4604 +2025-04-30 20:26:14,228 - pyskl - INFO - Epoch [12][700/2353] lr: 2.465e-02, eta: 1 day, 15:59:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9550, loss_cls: 3.6096, loss: 3.6096 +2025-04-30 20:26:58,328 - pyskl - INFO - Epoch [12][800/2353] lr: 2.465e-02, eta: 1 day, 15:58:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9600, loss_cls: 3.6510, loss: 3.6510 +2025-04-30 20:27:42,485 - pyskl - INFO - Epoch [12][900/2353] lr: 2.465e-02, eta: 1 day, 15:57:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9681, loss_cls: 3.4676, loss: 3.4676 +2025-04-30 20:28:26,445 - pyskl - INFO - Epoch [12][1000/2353] lr: 2.464e-02, eta: 1 day, 15:57:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9481, loss_cls: 3.7233, loss: 3.7233 +2025-04-30 20:29:10,171 - pyskl - INFO - Epoch [12][1100/2353] lr: 2.464e-02, eta: 1 day, 15:56:12, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9556, loss_cls: 3.6379, loss: 3.6379 +2025-04-30 20:29:54,055 - pyskl - INFO - Epoch [12][1200/2353] lr: 2.464e-02, eta: 1 day, 15:55:25, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9625, loss_cls: 3.5934, loss: 3.5934 +2025-04-30 20:30:38,063 - pyskl - INFO - Epoch [12][1300/2353] lr: 2.464e-02, eta: 1 day, 15:54:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9681, loss_cls: 3.5749, loss: 3.5749 +2025-04-30 20:31:22,351 - pyskl - INFO - Epoch [12][1400/2353] lr: 2.463e-02, eta: 1 day, 15:53:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9688, loss_cls: 3.4655, loss: 3.4655 +2025-04-30 20:32:06,669 - pyskl - INFO - Epoch [12][1500/2353] lr: 2.463e-02, eta: 1 day, 15:53:16, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9637, loss_cls: 3.6109, loss: 3.6109 +2025-04-30 20:32:50,919 - pyskl - INFO - Epoch [12][1600/2353] lr: 2.463e-02, eta: 1 day, 15:52:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9625, loss_cls: 3.6196, loss: 3.6196 +2025-04-30 20:33:35,012 - pyskl - INFO - Epoch [12][1700/2353] lr: 2.463e-02, eta: 1 day, 15:51:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7688, top5_acc: 0.9650, loss_cls: 3.6168, loss: 3.6168 +2025-04-30 20:34:19,079 - pyskl - INFO - Epoch [12][1800/2353] lr: 2.462e-02, eta: 1 day, 15:51:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9681, loss_cls: 3.6018, loss: 3.6018 +2025-04-30 20:35:03,150 - pyskl - INFO - Epoch [12][1900/2353] lr: 2.462e-02, eta: 1 day, 15:50:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9625, loss_cls: 3.5915, loss: 3.5915 +2025-04-30 20:35:47,107 - pyskl - INFO - Epoch [12][2000/2353] lr: 2.462e-02, eta: 1 day, 15:49:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7669, top5_acc: 0.9631, loss_cls: 3.6235, loss: 3.6235 +2025-04-30 20:36:31,142 - pyskl - INFO - Epoch [12][2100/2353] lr: 2.461e-02, eta: 1 day, 15:48:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7669, top5_acc: 0.9569, loss_cls: 3.6714, loss: 3.6714 +2025-04-30 20:37:15,052 - pyskl - INFO - Epoch [12][2200/2353] lr: 2.461e-02, eta: 1 day, 15:48:03, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9550, loss_cls: 3.7116, loss: 3.7116 +2025-04-30 20:37:59,126 - pyskl - INFO - Epoch [12][2300/2353] lr: 2.461e-02, eta: 1 day, 15:47:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9663, loss_cls: 3.4873, loss: 3.4873 +2025-04-30 20:38:23,179 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-04-30 20:39:53,053 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 20:39:53,130 - pyskl - INFO - +top1_acc 0.8248 +top5_acc 0.9765 +2025-04-30 20:39:53,184 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_11.pth was removed +2025-04-30 20:39:54,281 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-04-30 20:39:54,282 - pyskl - INFO - Best top1_acc is 0.8248 at 12 epoch. +2025-04-30 20:39:54,286 - pyskl - INFO - Epoch(val) [12][1184] top1_acc: 0.8248, top5_acc: 0.9765 +2025-04-30 20:40:59,483 - pyskl - INFO - Epoch [13][100/2353] lr: 2.460e-02, eta: 1 day, 15:45:45, time: 0.652, data_time: 0.212, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9669, loss_cls: 3.3954, loss: 3.3954 +2025-04-30 20:41:43,587 - pyskl - INFO - Epoch [13][200/2353] lr: 2.460e-02, eta: 1 day, 15:45:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9694, loss_cls: 3.4987, loss: 3.4987 +2025-04-30 20:42:27,754 - pyskl - INFO - Epoch [13][300/2353] lr: 2.460e-02, eta: 1 day, 15:44:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9656, loss_cls: 3.4471, loss: 3.4471 +2025-04-30 20:43:11,898 - pyskl - INFO - Epoch [13][400/2353] lr: 2.460e-02, eta: 1 day, 15:43:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9625, loss_cls: 3.5156, loss: 3.5156 +2025-04-30 20:43:56,031 - pyskl - INFO - Epoch [13][500/2353] lr: 2.459e-02, eta: 1 day, 15:42:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7719, top5_acc: 0.9563, loss_cls: 3.6091, loss: 3.6091 +2025-04-30 20:44:40,339 - pyskl - INFO - Epoch [13][600/2353] lr: 2.459e-02, eta: 1 day, 15:42:09, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9637, loss_cls: 3.5020, loss: 3.5020 +2025-04-30 20:45:24,467 - pyskl - INFO - Epoch [13][700/2353] lr: 2.459e-02, eta: 1 day, 15:41:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9669, loss_cls: 3.4803, loss: 3.4803 +2025-04-30 20:46:08,621 - pyskl - INFO - Epoch [13][800/2353] lr: 2.458e-02, eta: 1 day, 15:40:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7831, top5_acc: 0.9587, loss_cls: 3.6218, loss: 3.6218 +2025-04-30 20:46:52,714 - pyskl - INFO - Epoch [13][900/2353] lr: 2.458e-02, eta: 1 day, 15:39:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9637, loss_cls: 3.5406, loss: 3.5406 +2025-04-30 20:47:36,789 - pyskl - INFO - Epoch [13][1000/2353] lr: 2.458e-02, eta: 1 day, 15:39:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9563, loss_cls: 3.5524, loss: 3.5524 +2025-04-30 20:48:21,007 - pyskl - INFO - Epoch [13][1100/2353] lr: 2.458e-02, eta: 1 day, 15:38:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9656, loss_cls: 3.4467, loss: 3.4467 +2025-04-30 20:49:05,083 - pyskl - INFO - Epoch [13][1200/2353] lr: 2.457e-02, eta: 1 day, 15:37:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9631, loss_cls: 3.6228, loss: 3.6228 +2025-04-30 20:49:49,236 - pyskl - INFO - Epoch [13][1300/2353] lr: 2.457e-02, eta: 1 day, 15:37:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9712, loss_cls: 3.4589, loss: 3.4589 +2025-04-30 20:50:33,367 - pyskl - INFO - Epoch [13][1400/2353] lr: 2.457e-02, eta: 1 day, 15:36:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9650, loss_cls: 3.4881, loss: 3.4881 +2025-04-30 20:51:17,524 - pyskl - INFO - Epoch [13][1500/2353] lr: 2.456e-02, eta: 1 day, 15:35:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9594, loss_cls: 3.5726, loss: 3.5726 +2025-04-30 20:52:01,527 - pyskl - INFO - Epoch [13][1600/2353] lr: 2.456e-02, eta: 1 day, 15:34:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9656, loss_cls: 3.6410, loss: 3.6410 +2025-04-30 20:52:45,462 - pyskl - INFO - Epoch [13][1700/2353] lr: 2.456e-02, eta: 1 day, 15:34:04, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9637, loss_cls: 3.4563, loss: 3.4563 +2025-04-30 20:53:29,407 - pyskl - INFO - Epoch [13][1800/2353] lr: 2.456e-02, eta: 1 day, 15:33:18, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9625, loss_cls: 3.5705, loss: 3.5705 +2025-04-30 20:54:13,405 - pyskl - INFO - Epoch [13][1900/2353] lr: 2.455e-02, eta: 1 day, 15:32:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9644, loss_cls: 3.5029, loss: 3.5029 +2025-04-30 20:54:57,334 - pyskl - INFO - Epoch [13][2000/2353] lr: 2.455e-02, eta: 1 day, 15:31:47, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9581, loss_cls: 3.6806, loss: 3.6806 +2025-04-30 20:55:41,253 - pyskl - INFO - Epoch [13][2100/2353] lr: 2.455e-02, eta: 1 day, 15:31:01, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9688, loss_cls: 3.5741, loss: 3.5741 +2025-04-30 20:56:25,244 - pyskl - INFO - Epoch [13][2200/2353] lr: 2.454e-02, eta: 1 day, 15:30:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9688, loss_cls: 3.4090, loss: 3.4090 +2025-04-30 20:57:09,199 - pyskl - INFO - Epoch [13][2300/2353] lr: 2.454e-02, eta: 1 day, 15:29:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7744, top5_acc: 0.9600, loss_cls: 3.6159, loss: 3.6159 +2025-04-30 20:57:33,216 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-04-30 20:59:03,025 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 20:59:03,104 - pyskl - INFO - +top1_acc 0.7865 +top5_acc 0.9698 +2025-04-30 20:59:03,107 - pyskl - INFO - Epoch(val) [13][1184] top1_acc: 0.7865, top5_acc: 0.9698 +2025-04-30 21:00:08,034 - pyskl - INFO - Epoch [14][100/2353] lr: 2.454e-02, eta: 1 day, 15:27:56, time: 0.649, data_time: 0.210, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9706, loss_cls: 3.3657, loss: 3.3657 +2025-04-30 21:00:52,050 - pyskl - INFO - Epoch [14][200/2353] lr: 2.453e-02, eta: 1 day, 15:27:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9712, loss_cls: 3.3569, loss: 3.3569 +2025-04-30 21:01:36,093 - pyskl - INFO - Epoch [14][300/2353] lr: 2.453e-02, eta: 1 day, 15:26:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9631, loss_cls: 3.5680, loss: 3.5680 +2025-04-30 21:02:20,091 - pyskl - INFO - Epoch [14][400/2353] lr: 2.453e-02, eta: 1 day, 15:25:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7700, top5_acc: 0.9619, loss_cls: 3.6421, loss: 3.6421 +2025-04-30 21:03:04,097 - pyskl - INFO - Epoch [14][500/2353] lr: 2.452e-02, eta: 1 day, 15:24:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9675, loss_cls: 3.4404, loss: 3.4404 +2025-04-30 21:03:48,135 - pyskl - INFO - Epoch [14][600/2353] lr: 2.452e-02, eta: 1 day, 15:24:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9694, loss_cls: 3.3943, loss: 3.3943 +2025-04-30 21:04:32,177 - pyskl - INFO - Epoch [14][700/2353] lr: 2.452e-02, eta: 1 day, 15:23:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9694, loss_cls: 3.4711, loss: 3.4711 +2025-04-30 21:05:16,358 - pyskl - INFO - Epoch [14][800/2353] lr: 2.452e-02, eta: 1 day, 15:22:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9688, loss_cls: 3.5148, loss: 3.5148 +2025-04-30 21:06:00,340 - pyskl - INFO - Epoch [14][900/2353] lr: 2.451e-02, eta: 1 day, 15:21:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9656, loss_cls: 3.5606, loss: 3.5606 +2025-04-30 21:06:44,475 - pyskl - INFO - Epoch [14][1000/2353] lr: 2.451e-02, eta: 1 day, 15:21:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9656, loss_cls: 3.4640, loss: 3.4640 +2025-04-30 21:07:28,625 - pyskl - INFO - Epoch [14][1100/2353] lr: 2.451e-02, eta: 1 day, 15:20:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9688, loss_cls: 3.5212, loss: 3.5212 +2025-04-30 21:08:12,755 - pyskl - INFO - Epoch [14][1200/2353] lr: 2.450e-02, eta: 1 day, 15:19:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9719, loss_cls: 3.4118, loss: 3.4118 +2025-04-30 21:08:56,882 - pyskl - INFO - Epoch [14][1300/2353] lr: 2.450e-02, eta: 1 day, 15:19:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9656, loss_cls: 3.4934, loss: 3.4934 +2025-04-30 21:09:40,990 - pyskl - INFO - Epoch [14][1400/2353] lr: 2.450e-02, eta: 1 day, 15:18:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9619, loss_cls: 3.4089, loss: 3.4089 +2025-04-30 21:10:25,186 - pyskl - INFO - Epoch [14][1500/2353] lr: 2.449e-02, eta: 1 day, 15:17:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9606, loss_cls: 3.5747, loss: 3.5747 +2025-04-30 21:11:09,298 - pyskl - INFO - Epoch [14][1600/2353] lr: 2.449e-02, eta: 1 day, 15:16:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9712, loss_cls: 3.4638, loss: 3.4638 +2025-04-30 21:11:53,340 - pyskl - INFO - Epoch [14][1700/2353] lr: 2.449e-02, eta: 1 day, 15:16:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7781, top5_acc: 0.9563, loss_cls: 3.5456, loss: 3.5456 +2025-04-30 21:12:37,470 - pyskl - INFO - Epoch [14][1800/2353] lr: 2.448e-02, eta: 1 day, 15:15:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9600, loss_cls: 3.5851, loss: 3.5851 +2025-04-30 21:13:21,639 - pyskl - INFO - Epoch [14][1900/2353] lr: 2.448e-02, eta: 1 day, 15:14:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9663, loss_cls: 3.5777, loss: 3.5777 +2025-04-30 21:14:06,080 - pyskl - INFO - Epoch [14][2000/2353] lr: 2.448e-02, eta: 1 day, 15:14:02, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9663, loss_cls: 3.6136, loss: 3.6136 +2025-04-30 21:14:50,450 - pyskl - INFO - Epoch [14][2100/2353] lr: 2.447e-02, eta: 1 day, 15:13:21, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9669, loss_cls: 3.4338, loss: 3.4338 +2025-04-30 21:15:34,556 - pyskl - INFO - Epoch [14][2200/2353] lr: 2.447e-02, eta: 1 day, 15:12:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9625, loss_cls: 3.4409, loss: 3.4409 +2025-04-30 21:16:18,498 - pyskl - INFO - Epoch [14][2300/2353] lr: 2.447e-02, eta: 1 day, 15:11:51, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9719, loss_cls: 3.2949, loss: 3.2949 +2025-04-30 21:16:42,520 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-04-30 21:18:12,264 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 21:18:12,343 - pyskl - INFO - +top1_acc 0.8201 +top5_acc 0.9780 +2025-04-30 21:18:12,347 - pyskl - INFO - Epoch(val) [14][1184] top1_acc: 0.8201, top5_acc: 0.9780 +2025-04-30 21:19:18,021 - pyskl - INFO - Epoch [15][100/2353] lr: 2.446e-02, eta: 1 day, 15:10:26, time: 0.657, data_time: 0.215, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9706, loss_cls: 3.3585, loss: 3.3585 +2025-04-30 21:20:01,940 - pyskl - INFO - Epoch [15][200/2353] lr: 2.446e-02, eta: 1 day, 15:09:41, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9663, loss_cls: 3.3549, loss: 3.3549 +2025-04-30 21:20:45,961 - pyskl - INFO - Epoch [15][300/2353] lr: 2.446e-02, eta: 1 day, 15:08:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9663, loss_cls: 3.2923, loss: 3.2923 +2025-04-30 21:21:29,984 - pyskl - INFO - Epoch [15][400/2353] lr: 2.445e-02, eta: 1 day, 15:08:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9688, loss_cls: 3.3962, loss: 3.3962 +2025-04-30 21:22:14,020 - pyskl - INFO - Epoch [15][500/2353] lr: 2.445e-02, eta: 1 day, 15:07:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8063, top5_acc: 0.9700, loss_cls: 3.4390, loss: 3.4390 +2025-04-30 21:22:58,006 - pyskl - INFO - Epoch [15][600/2353] lr: 2.445e-02, eta: 1 day, 15:06:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9712, loss_cls: 3.4669, loss: 3.4669 +2025-04-30 21:23:42,114 - pyskl - INFO - Epoch [15][700/2353] lr: 2.444e-02, eta: 1 day, 15:05:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9644, loss_cls: 3.4760, loss: 3.4760 +2025-04-30 21:24:26,355 - pyskl - INFO - Epoch [15][800/2353] lr: 2.444e-02, eta: 1 day, 15:05:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9719, loss_cls: 3.4317, loss: 3.4317 +2025-04-30 21:25:10,493 - pyskl - INFO - Epoch [15][900/2353] lr: 2.444e-02, eta: 1 day, 15:04:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9650, loss_cls: 3.5263, loss: 3.5263 +2025-04-30 21:25:54,706 - pyskl - INFO - Epoch [15][1000/2353] lr: 2.443e-02, eta: 1 day, 15:03:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9650, loss_cls: 3.4858, loss: 3.4858 +2025-04-30 21:26:38,750 - pyskl - INFO - Epoch [15][1100/2353] lr: 2.443e-02, eta: 1 day, 15:03:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9738, loss_cls: 3.3591, loss: 3.3591 +2025-04-30 21:27:22,948 - pyskl - INFO - Epoch [15][1200/2353] lr: 2.443e-02, eta: 1 day, 15:02:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9688, loss_cls: 3.4298, loss: 3.4298 +2025-04-30 21:28:06,972 - pyskl - INFO - Epoch [15][1300/2353] lr: 2.442e-02, eta: 1 day, 15:01:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9750, loss_cls: 3.3061, loss: 3.3061 +2025-04-30 21:28:51,109 - pyskl - INFO - Epoch [15][1400/2353] lr: 2.442e-02, eta: 1 day, 15:00:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9744, loss_cls: 3.4199, loss: 3.4199 +2025-04-30 21:29:35,338 - pyskl - INFO - Epoch [15][1500/2353] lr: 2.442e-02, eta: 1 day, 15:00:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9650, loss_cls: 3.4377, loss: 3.4377 +2025-04-30 21:30:19,413 - pyskl - INFO - Epoch [15][1600/2353] lr: 2.441e-02, eta: 1 day, 14:59:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9663, loss_cls: 3.4462, loss: 3.4462 +2025-04-30 21:31:03,458 - pyskl - INFO - Epoch [15][1700/2353] lr: 2.441e-02, eta: 1 day, 14:58:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9669, loss_cls: 3.4331, loss: 3.4331 +2025-04-30 21:31:47,383 - pyskl - INFO - Epoch [15][1800/2353] lr: 2.441e-02, eta: 1 day, 14:57:56, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7738, top5_acc: 0.9625, loss_cls: 3.6452, loss: 3.6452 +2025-04-30 21:32:31,115 - pyskl - INFO - Epoch [15][1900/2353] lr: 2.440e-02, eta: 1 day, 14:57:09, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9650, loss_cls: 3.4186, loss: 3.4186 +2025-04-30 21:33:15,194 - pyskl - INFO - Epoch [15][2000/2353] lr: 2.440e-02, eta: 1 day, 14:56:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9619, loss_cls: 3.5746, loss: 3.5746 +2025-04-30 21:33:59,239 - pyskl - INFO - Epoch [15][2100/2353] lr: 2.440e-02, eta: 1 day, 14:55:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9688, loss_cls: 3.4271, loss: 3.4271 +2025-04-30 21:34:43,270 - pyskl - INFO - Epoch [15][2200/2353] lr: 2.439e-02, eta: 1 day, 14:54:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9650, loss_cls: 3.5674, loss: 3.5674 +2025-04-30 21:35:27,347 - pyskl - INFO - Epoch [15][2300/2353] lr: 2.439e-02, eta: 1 day, 14:54:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9663, loss_cls: 3.4922, loss: 3.4922 +2025-04-30 21:35:51,305 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-04-30 21:37:21,486 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 21:37:21,564 - pyskl - INFO - +top1_acc 0.8024 +top5_acc 0.9732 +2025-04-30 21:37:21,567 - pyskl - INFO - Epoch(val) [15][1184] top1_acc: 0.8024, top5_acc: 0.9732 +2025-04-30 21:38:26,760 - pyskl - INFO - Epoch [16][100/2353] lr: 2.438e-02, eta: 1 day, 14:52:44, time: 0.652, data_time: 0.213, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9675, loss_cls: 3.3678, loss: 3.3678 +2025-04-30 21:39:10,748 - pyskl - INFO - Epoch [16][200/2353] lr: 2.438e-02, eta: 1 day, 14:51:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9712, loss_cls: 3.3378, loss: 3.3378 +2025-04-30 21:39:54,695 - pyskl - INFO - Epoch [16][300/2353] lr: 2.438e-02, eta: 1 day, 14:51:14, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9700, loss_cls: 3.4331, loss: 3.4331 +2025-04-30 21:40:38,717 - pyskl - INFO - Epoch [16][400/2353] lr: 2.437e-02, eta: 1 day, 14:50:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9675, loss_cls: 3.3879, loss: 3.3879 +2025-04-30 21:41:22,831 - pyskl - INFO - Epoch [16][500/2353] lr: 2.437e-02, eta: 1 day, 14:49:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9775, loss_cls: 3.3429, loss: 3.3429 +2025-04-30 21:42:06,865 - pyskl - INFO - Epoch [16][600/2353] lr: 2.437e-02, eta: 1 day, 14:49:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9637, loss_cls: 3.4601, loss: 3.4601 +2025-04-30 21:42:50,942 - pyskl - INFO - Epoch [16][700/2353] lr: 2.436e-02, eta: 1 day, 14:48:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9631, loss_cls: 3.4989, loss: 3.4989 +2025-04-30 21:43:35,019 - pyskl - INFO - Epoch [16][800/2353] lr: 2.436e-02, eta: 1 day, 14:47:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9725, loss_cls: 3.3480, loss: 3.3480 +2025-04-30 21:44:19,147 - pyskl - INFO - Epoch [16][900/2353] lr: 2.436e-02, eta: 1 day, 14:46:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9750, loss_cls: 3.3394, loss: 3.3394 +2025-04-30 21:45:03,262 - pyskl - INFO - Epoch [16][1000/2353] lr: 2.435e-02, eta: 1 day, 14:46:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9731, loss_cls: 3.4356, loss: 3.4356 +2025-04-30 21:45:47,415 - pyskl - INFO - Epoch [16][1100/2353] lr: 2.435e-02, eta: 1 day, 14:45:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9544, loss_cls: 3.4925, loss: 3.4925 +2025-04-30 21:46:31,595 - pyskl - INFO - Epoch [16][1200/2353] lr: 2.435e-02, eta: 1 day, 14:44:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9656, loss_cls: 3.4733, loss: 3.4733 +2025-04-30 21:47:15,718 - pyskl - INFO - Epoch [16][1300/2353] lr: 2.434e-02, eta: 1 day, 14:43:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9637, loss_cls: 3.4977, loss: 3.4977 +2025-04-30 21:47:59,739 - pyskl - INFO - Epoch [16][1400/2353] lr: 2.434e-02, eta: 1 day, 14:43:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9663, loss_cls: 3.3486, loss: 3.3486 +2025-04-30 21:48:43,626 - pyskl - INFO - Epoch [16][1500/2353] lr: 2.434e-02, eta: 1 day, 14:42:25, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9700, loss_cls: 3.3782, loss: 3.3782 +2025-04-30 21:49:27,823 - pyskl - INFO - Epoch [16][1600/2353] lr: 2.433e-02, eta: 1 day, 14:41:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9706, loss_cls: 3.3486, loss: 3.3486 +2025-04-30 21:50:11,823 - pyskl - INFO - Epoch [16][1700/2353] lr: 2.433e-02, eta: 1 day, 14:40:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9675, loss_cls: 3.3903, loss: 3.3903 +2025-04-30 21:50:55,802 - pyskl - INFO - Epoch [16][1800/2353] lr: 2.432e-02, eta: 1 day, 14:40:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9637, loss_cls: 3.3811, loss: 3.3811 +2025-04-30 21:51:39,806 - pyskl - INFO - Epoch [16][1900/2353] lr: 2.432e-02, eta: 1 day, 14:39:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9613, loss_cls: 3.4443, loss: 3.4443 +2025-04-30 21:52:23,802 - pyskl - INFO - Epoch [16][2000/2353] lr: 2.432e-02, eta: 1 day, 14:38:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9725, loss_cls: 3.2750, loss: 3.2750 +2025-04-30 21:53:07,775 - pyskl - INFO - Epoch [16][2100/2353] lr: 2.431e-02, eta: 1 day, 14:37:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9637, loss_cls: 3.4699, loss: 3.4699 +2025-04-30 21:53:51,746 - pyskl - INFO - Epoch [16][2200/2353] lr: 2.431e-02, eta: 1 day, 14:37:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9625, loss_cls: 3.4602, loss: 3.4602 +2025-04-30 21:54:35,763 - pyskl - INFO - Epoch [16][2300/2353] lr: 2.431e-02, eta: 1 day, 14:36:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9806, loss_cls: 3.3423, loss: 3.3423 +2025-04-30 21:54:59,743 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-04-30 21:56:29,653 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 21:56:29,734 - pyskl - INFO - +top1_acc 0.7817 +top5_acc 0.9580 +2025-04-30 21:56:29,738 - pyskl - INFO - Epoch(val) [16][1184] top1_acc: 0.7817, top5_acc: 0.9580 +2025-04-30 21:57:35,198 - pyskl - INFO - Epoch [17][100/2353] lr: 2.430e-02, eta: 1 day, 14:35:05, time: 0.655, data_time: 0.213, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9637, loss_cls: 3.4256, loss: 3.4256 +2025-04-30 21:58:19,139 - pyskl - INFO - Epoch [17][200/2353] lr: 2.430e-02, eta: 1 day, 14:34:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9769, loss_cls: 3.2740, loss: 3.2740 +2025-04-30 21:59:03,177 - pyskl - INFO - Epoch [17][300/2353] lr: 2.429e-02, eta: 1 day, 14:33:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9644, loss_cls: 3.4635, loss: 3.4635 +2025-04-30 21:59:47,348 - pyskl - INFO - Epoch [17][400/2353] lr: 2.429e-02, eta: 1 day, 14:32:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9600, loss_cls: 3.5207, loss: 3.5207 +2025-04-30 22:00:31,600 - pyskl - INFO - Epoch [17][500/2353] lr: 2.429e-02, eta: 1 day, 14:32:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8063, top5_acc: 0.9719, loss_cls: 3.3859, loss: 3.3859 +2025-04-30 22:01:15,763 - pyskl - INFO - Epoch [17][600/2353] lr: 2.428e-02, eta: 1 day, 14:31:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9725, loss_cls: 3.3524, loss: 3.3524 +2025-04-30 22:01:59,758 - pyskl - INFO - Epoch [17][700/2353] lr: 2.428e-02, eta: 1 day, 14:30:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9712, loss_cls: 3.4762, loss: 3.4762 +2025-04-30 22:02:44,111 - pyskl - INFO - Epoch [17][800/2353] lr: 2.428e-02, eta: 1 day, 14:30:00, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9675, loss_cls: 3.3952, loss: 3.3952 +2025-04-30 22:03:28,300 - pyskl - INFO - Epoch [17][900/2353] lr: 2.427e-02, eta: 1 day, 14:29:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9631, loss_cls: 3.4062, loss: 3.4062 +2025-04-30 22:04:12,462 - pyskl - INFO - Epoch [17][1000/2353] lr: 2.427e-02, eta: 1 day, 14:28:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9675, loss_cls: 3.3467, loss: 3.3467 +2025-04-30 22:04:56,575 - pyskl - INFO - Epoch [17][1100/2353] lr: 2.426e-02, eta: 1 day, 14:27:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9712, loss_cls: 3.4193, loss: 3.4193 +2025-04-30 22:05:40,731 - pyskl - INFO - Epoch [17][1200/2353] lr: 2.426e-02, eta: 1 day, 14:27:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9663, loss_cls: 3.5340, loss: 3.5340 +2025-04-30 22:06:24,754 - pyskl - INFO - Epoch [17][1300/2353] lr: 2.426e-02, eta: 1 day, 14:26:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9712, loss_cls: 3.4886, loss: 3.4886 +2025-04-30 22:07:08,721 - pyskl - INFO - Epoch [17][1400/2353] lr: 2.425e-02, eta: 1 day, 14:25:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9669, loss_cls: 3.2626, loss: 3.2626 +2025-04-30 22:07:52,685 - pyskl - INFO - Epoch [17][1500/2353] lr: 2.425e-02, eta: 1 day, 14:24:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9681, loss_cls: 3.5436, loss: 3.5436 +2025-04-30 22:08:36,638 - pyskl - INFO - Epoch [17][1600/2353] lr: 2.425e-02, eta: 1 day, 14:24:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9712, loss_cls: 3.4584, loss: 3.4584 +2025-04-30 22:09:20,585 - pyskl - INFO - Epoch [17][1700/2353] lr: 2.424e-02, eta: 1 day, 14:23:22, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9756, loss_cls: 3.2457, loss: 3.2457 +2025-04-30 22:10:04,588 - pyskl - INFO - Epoch [17][1800/2353] lr: 2.424e-02, eta: 1 day, 14:22:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9688, loss_cls: 3.4656, loss: 3.4656 +2025-04-30 22:10:48,466 - pyskl - INFO - Epoch [17][1900/2353] lr: 2.423e-02, eta: 1 day, 14:21:52, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9769, loss_cls: 3.3121, loss: 3.3121 +2025-04-30 22:11:32,336 - pyskl - INFO - Epoch [17][2000/2353] lr: 2.423e-02, eta: 1 day, 14:21:06, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9731, loss_cls: 3.4147, loss: 3.4147 +2025-04-30 22:12:16,217 - pyskl - INFO - Epoch [17][2100/2353] lr: 2.423e-02, eta: 1 day, 14:20:21, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7819, top5_acc: 0.9594, loss_cls: 3.5826, loss: 3.5826 +2025-04-30 22:13:00,111 - pyskl - INFO - Epoch [17][2200/2353] lr: 2.422e-02, eta: 1 day, 14:19:35, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9731, loss_cls: 3.3380, loss: 3.3380 +2025-04-30 22:13:43,979 - pyskl - INFO - Epoch [17][2300/2353] lr: 2.422e-02, eta: 1 day, 14:18:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9781, loss_cls: 3.2406, loss: 3.2406 +2025-04-30 22:14:07,939 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-04-30 22:15:39,007 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 22:15:39,084 - pyskl - INFO - +top1_acc 0.8181 +top5_acc 0.9741 +2025-04-30 22:15:39,087 - pyskl - INFO - Epoch(val) [17][1184] top1_acc: 0.8181, top5_acc: 0.9741 +2025-04-30 22:16:44,187 - pyskl - INFO - Epoch [18][100/2353] lr: 2.421e-02, eta: 1 day, 14:17:24, time: 0.651, data_time: 0.213, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9731, loss_cls: 3.2715, loss: 3.2715 +2025-04-30 22:17:28,213 - pyskl - INFO - Epoch [18][200/2353] lr: 2.421e-02, eta: 1 day, 14:16:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9694, loss_cls: 3.4750, loss: 3.4750 +2025-04-30 22:18:12,181 - pyskl - INFO - Epoch [18][300/2353] lr: 2.420e-02, eta: 1 day, 14:15:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9744, loss_cls: 3.4215, loss: 3.4215 +2025-04-30 22:18:56,282 - pyskl - INFO - Epoch [18][400/2353] lr: 2.420e-02, eta: 1 day, 14:15:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9681, loss_cls: 3.3947, loss: 3.3947 +2025-04-30 22:19:40,374 - pyskl - INFO - Epoch [18][500/2353] lr: 2.420e-02, eta: 1 day, 14:14:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9731, loss_cls: 3.4245, loss: 3.4245 +2025-04-30 22:20:24,473 - pyskl - INFO - Epoch [18][600/2353] lr: 2.419e-02, eta: 1 day, 14:13:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9719, loss_cls: 3.3636, loss: 3.3636 +2025-04-30 22:21:08,633 - pyskl - INFO - Epoch [18][700/2353] lr: 2.419e-02, eta: 1 day, 14:13:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9675, loss_cls: 3.3928, loss: 3.3928 +2025-04-30 22:21:52,728 - pyskl - INFO - Epoch [18][800/2353] lr: 2.418e-02, eta: 1 day, 14:12:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9694, loss_cls: 3.4095, loss: 3.4095 +2025-04-30 22:22:36,868 - pyskl - INFO - Epoch [18][900/2353] lr: 2.418e-02, eta: 1 day, 14:11:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9644, loss_cls: 3.3129, loss: 3.3129 +2025-04-30 22:23:21,136 - pyskl - INFO - Epoch [18][1000/2353] lr: 2.418e-02, eta: 1 day, 14:10:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9681, loss_cls: 3.3670, loss: 3.3670 +2025-04-30 22:24:05,338 - pyskl - INFO - Epoch [18][1100/2353] lr: 2.417e-02, eta: 1 day, 14:10:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9675, loss_cls: 3.3520, loss: 3.3520 +2025-04-30 22:24:49,665 - pyskl - INFO - Epoch [18][1200/2353] lr: 2.417e-02, eta: 1 day, 14:09:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9719, loss_cls: 3.3065, loss: 3.3065 +2025-04-30 22:25:33,837 - pyskl - INFO - Epoch [18][1300/2353] lr: 2.416e-02, eta: 1 day, 14:08:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9656, loss_cls: 3.4517, loss: 3.4517 +2025-04-30 22:26:17,889 - pyskl - INFO - Epoch [18][1400/2353] lr: 2.416e-02, eta: 1 day, 14:07:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9681, loss_cls: 3.3422, loss: 3.3422 +2025-04-30 22:27:02,110 - pyskl - INFO - Epoch [18][1500/2353] lr: 2.416e-02, eta: 1 day, 14:07:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9769, loss_cls: 3.2195, loss: 3.2195 +2025-04-30 22:27:46,160 - pyskl - INFO - Epoch [18][1600/2353] lr: 2.415e-02, eta: 1 day, 14:06:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9706, loss_cls: 3.4011, loss: 3.4011 +2025-04-30 22:28:30,328 - pyskl - INFO - Epoch [18][1700/2353] lr: 2.415e-02, eta: 1 day, 14:05:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9650, loss_cls: 3.3734, loss: 3.3734 +2025-04-30 22:29:14,470 - pyskl - INFO - Epoch [18][1800/2353] lr: 2.414e-02, eta: 1 day, 14:05:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9700, loss_cls: 3.3159, loss: 3.3159 +2025-04-30 22:29:58,557 - pyskl - INFO - Epoch [18][1900/2353] lr: 2.414e-02, eta: 1 day, 14:04:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9719, loss_cls: 3.3997, loss: 3.3997 +2025-04-30 22:30:42,498 - pyskl - INFO - Epoch [18][2000/2353] lr: 2.414e-02, eta: 1 day, 14:03:35, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9675, loss_cls: 3.3826, loss: 3.3826 +2025-04-30 22:31:26,491 - pyskl - INFO - Epoch [18][2100/2353] lr: 2.413e-02, eta: 1 day, 14:02:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9731, loss_cls: 3.3424, loss: 3.3424 +2025-04-30 22:32:10,499 - pyskl - INFO - Epoch [18][2200/2353] lr: 2.413e-02, eta: 1 day, 14:02:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9669, loss_cls: 3.4413, loss: 3.4413 +2025-04-30 22:32:54,708 - pyskl - INFO - Epoch [18][2300/2353] lr: 2.412e-02, eta: 1 day, 14:01:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9688, loss_cls: 3.3902, loss: 3.3902 +2025-04-30 22:33:18,781 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-04-30 22:34:48,830 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 22:34:48,908 - pyskl - INFO - +top1_acc 0.8430 +top5_acc 0.9844 +2025-04-30 22:34:48,965 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_12.pth was removed +2025-04-30 22:34:50,076 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-04-30 22:34:50,077 - pyskl - INFO - Best top1_acc is 0.8430 at 18 epoch. +2025-04-30 22:34:50,080 - pyskl - INFO - Epoch(val) [18][1184] top1_acc: 0.8430, top5_acc: 0.9844 +2025-04-30 22:35:55,177 - pyskl - INFO - Epoch [19][100/2353] lr: 2.412e-02, eta: 1 day, 13:59:59, time: 0.651, data_time: 0.212, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9800, loss_cls: 3.1833, loss: 3.1833 +2025-04-30 22:36:39,231 - pyskl - INFO - Epoch [19][200/2353] lr: 2.411e-02, eta: 1 day, 13:59:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9688, loss_cls: 3.3442, loss: 3.3442 +2025-04-30 22:37:23,244 - pyskl - INFO - Epoch [19][300/2353] lr: 2.411e-02, eta: 1 day, 13:58:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9750, loss_cls: 3.3758, loss: 3.3758 +2025-04-30 22:38:07,311 - pyskl - INFO - Epoch [19][400/2353] lr: 2.411e-02, eta: 1 day, 13:57:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9731, loss_cls: 3.3153, loss: 3.3153 +2025-04-30 22:38:51,393 - pyskl - INFO - Epoch [19][500/2353] lr: 2.410e-02, eta: 1 day, 13:57:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9725, loss_cls: 3.2647, loss: 3.2647 +2025-04-30 22:39:35,505 - pyskl - INFO - Epoch [19][600/2353] lr: 2.410e-02, eta: 1 day, 13:56:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9769, loss_cls: 3.4093, loss: 3.4093 +2025-04-30 22:40:19,710 - pyskl - INFO - Epoch [19][700/2353] lr: 2.409e-02, eta: 1 day, 13:55:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9750, loss_cls: 3.3865, loss: 3.3865 +2025-04-30 22:41:03,906 - pyskl - INFO - Epoch [19][800/2353] lr: 2.409e-02, eta: 1 day, 13:54:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9694, loss_cls: 3.2956, loss: 3.2956 +2025-04-30 22:41:48,050 - pyskl - INFO - Epoch [19][900/2353] lr: 2.409e-02, eta: 1 day, 13:54:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9750, loss_cls: 3.3240, loss: 3.3240 +2025-04-30 22:42:32,155 - pyskl - INFO - Epoch [19][1000/2353] lr: 2.408e-02, eta: 1 day, 13:53:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9675, loss_cls: 3.3025, loss: 3.3025 +2025-04-30 22:43:16,308 - pyskl - INFO - Epoch [19][1100/2353] lr: 2.408e-02, eta: 1 day, 13:52:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9706, loss_cls: 3.4186, loss: 3.4186 +2025-04-30 22:44:00,476 - pyskl - INFO - Epoch [19][1200/2353] lr: 2.407e-02, eta: 1 day, 13:51:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9750, loss_cls: 3.2462, loss: 3.2462 +2025-04-30 22:44:44,518 - pyskl - INFO - Epoch [19][1300/2353] lr: 2.407e-02, eta: 1 day, 13:51:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9719, loss_cls: 3.2753, loss: 3.2753 +2025-04-30 22:45:28,554 - pyskl - INFO - Epoch [19][1400/2353] lr: 2.406e-02, eta: 1 day, 13:50:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9762, loss_cls: 3.3023, loss: 3.3023 +2025-04-30 22:46:12,620 - pyskl - INFO - Epoch [19][1500/2353] lr: 2.406e-02, eta: 1 day, 13:49:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9650, loss_cls: 3.4406, loss: 3.4406 +2025-04-30 22:46:56,627 - pyskl - INFO - Epoch [19][1600/2353] lr: 2.406e-02, eta: 1 day, 13:49:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9663, loss_cls: 3.3551, loss: 3.3551 +2025-04-30 22:47:40,655 - pyskl - INFO - Epoch [19][1700/2353] lr: 2.405e-02, eta: 1 day, 13:48:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9819, loss_cls: 3.3404, loss: 3.3404 +2025-04-30 22:48:24,691 - pyskl - INFO - Epoch [19][1800/2353] lr: 2.405e-02, eta: 1 day, 13:47:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9719, loss_cls: 3.2900, loss: 3.2900 +2025-04-30 22:49:09,005 - pyskl - INFO - Epoch [19][1900/2353] lr: 2.404e-02, eta: 1 day, 13:46:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9706, loss_cls: 3.2741, loss: 3.2741 +2025-04-30 22:49:53,202 - pyskl - INFO - Epoch [19][2000/2353] lr: 2.404e-02, eta: 1 day, 13:46:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9663, loss_cls: 3.3943, loss: 3.3943 +2025-04-30 22:50:37,351 - pyskl - INFO - Epoch [19][2100/2353] lr: 2.403e-02, eta: 1 day, 13:45:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9688, loss_cls: 3.3339, loss: 3.3339 +2025-04-30 22:51:21,462 - pyskl - INFO - Epoch [19][2200/2353] lr: 2.403e-02, eta: 1 day, 13:44:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9688, loss_cls: 3.3459, loss: 3.3459 +2025-04-30 22:52:05,543 - pyskl - INFO - Epoch [19][2300/2353] lr: 2.403e-02, eta: 1 day, 13:43:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9637, loss_cls: 3.4415, loss: 3.4415 +2025-04-30 22:52:29,558 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-04-30 22:53:59,337 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 22:53:59,418 - pyskl - INFO - +top1_acc 0.8253 +top5_acc 0.9808 +2025-04-30 22:53:59,422 - pyskl - INFO - Epoch(val) [19][1184] top1_acc: 0.8253, top5_acc: 0.9808 +2025-04-30 22:55:04,465 - pyskl - INFO - Epoch [20][100/2353] lr: 2.402e-02, eta: 1 day, 13:42:33, time: 0.650, data_time: 0.211, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9712, loss_cls: 3.2821, loss: 3.2821 +2025-04-30 22:55:48,583 - pyskl - INFO - Epoch [20][200/2353] lr: 2.401e-02, eta: 1 day, 13:41:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9719, loss_cls: 3.3993, loss: 3.3993 +2025-04-30 22:56:32,796 - pyskl - INFO - Epoch [20][300/2353] lr: 2.401e-02, eta: 1 day, 13:41:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9712, loss_cls: 3.2882, loss: 3.2882 +2025-04-30 22:57:16,882 - pyskl - INFO - Epoch [20][400/2353] lr: 2.401e-02, eta: 1 day, 13:40:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9725, loss_cls: 3.3674, loss: 3.3674 +2025-04-30 22:58:01,095 - pyskl - INFO - Epoch [20][500/2353] lr: 2.400e-02, eta: 1 day, 13:39:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9663, loss_cls: 3.3398, loss: 3.3398 +2025-04-30 22:58:45,249 - pyskl - INFO - Epoch [20][600/2353] lr: 2.400e-02, eta: 1 day, 13:38:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9756, loss_cls: 3.2257, loss: 3.2257 +2025-04-30 22:59:29,379 - pyskl - INFO - Epoch [20][700/2353] lr: 2.399e-02, eta: 1 day, 13:38:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9669, loss_cls: 3.2778, loss: 3.2778 +2025-04-30 23:00:13,758 - pyskl - INFO - Epoch [20][800/2353] lr: 2.399e-02, eta: 1 day, 13:37:31, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9744, loss_cls: 3.2057, loss: 3.2057 +2025-04-30 23:00:58,003 - pyskl - INFO - Epoch [20][900/2353] lr: 2.398e-02, eta: 1 day, 13:36:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9637, loss_cls: 3.3145, loss: 3.3145 +2025-04-30 23:01:42,243 - pyskl - INFO - Epoch [20][1000/2353] lr: 2.398e-02, eta: 1 day, 13:36:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9744, loss_cls: 3.2513, loss: 3.2513 +2025-04-30 23:02:26,610 - pyskl - INFO - Epoch [20][1100/2353] lr: 2.398e-02, eta: 1 day, 13:35:23, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9700, loss_cls: 3.4176, loss: 3.4176 +2025-04-30 23:03:10,773 - pyskl - INFO - Epoch [20][1200/2353] lr: 2.397e-02, eta: 1 day, 13:34:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9712, loss_cls: 3.2267, loss: 3.2267 +2025-04-30 23:03:54,783 - pyskl - INFO - Epoch [20][1300/2353] lr: 2.397e-02, eta: 1 day, 13:33:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9706, loss_cls: 3.3008, loss: 3.3008 +2025-04-30 23:04:38,915 - pyskl - INFO - Epoch [20][1400/2353] lr: 2.396e-02, eta: 1 day, 13:33:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9675, loss_cls: 3.3789, loss: 3.3789 +2025-04-30 23:05:22,931 - pyskl - INFO - Epoch [20][1500/2353] lr: 2.396e-02, eta: 1 day, 13:32:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9631, loss_cls: 3.3906, loss: 3.3906 +2025-04-30 23:06:06,975 - pyskl - INFO - Epoch [20][1600/2353] lr: 2.395e-02, eta: 1 day, 13:31:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9669, loss_cls: 3.2235, loss: 3.2235 +2025-04-30 23:06:51,088 - pyskl - INFO - Epoch [20][1700/2353] lr: 2.395e-02, eta: 1 day, 13:31:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9738, loss_cls: 3.3001, loss: 3.3001 +2025-04-30 23:07:35,095 - pyskl - INFO - Epoch [20][1800/2353] lr: 2.394e-02, eta: 1 day, 13:30:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9694, loss_cls: 3.3280, loss: 3.3280 +2025-04-30 23:08:19,089 - pyskl - INFO - Epoch [20][1900/2353] lr: 2.394e-02, eta: 1 day, 13:29:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9706, loss_cls: 3.2282, loss: 3.2282 +2025-04-30 23:09:03,226 - pyskl - INFO - Epoch [20][2000/2353] lr: 2.394e-02, eta: 1 day, 13:28:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9712, loss_cls: 3.3288, loss: 3.3288 +2025-04-30 23:09:47,223 - pyskl - INFO - Epoch [20][2100/2353] lr: 2.393e-02, eta: 1 day, 13:28:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9725, loss_cls: 3.2729, loss: 3.2729 +2025-04-30 23:10:31,238 - pyskl - INFO - Epoch [20][2200/2353] lr: 2.393e-02, eta: 1 day, 13:27:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9725, loss_cls: 3.2984, loss: 3.2984 +2025-04-30 23:11:15,295 - pyskl - INFO - Epoch [20][2300/2353] lr: 2.392e-02, eta: 1 day, 13:26:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9581, loss_cls: 3.3086, loss: 3.3086 +2025-04-30 23:11:39,341 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-04-30 23:13:09,674 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 23:13:09,748 - pyskl - INFO - +top1_acc 0.8045 +top5_acc 0.9732 +2025-04-30 23:13:09,752 - pyskl - INFO - Epoch(val) [20][1184] top1_acc: 0.8045, top5_acc: 0.9732 +2025-04-30 23:14:14,867 - pyskl - INFO - Epoch [21][100/2353] lr: 2.391e-02, eta: 1 day, 13:25:12, time: 0.651, data_time: 0.211, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9775, loss_cls: 3.1436, loss: 3.1436 +2025-04-30 23:14:58,841 - pyskl - INFO - Epoch [21][200/2353] lr: 2.391e-02, eta: 1 day, 13:24:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9688, loss_cls: 3.2475, loss: 3.2475 +2025-04-30 23:15:42,793 - pyskl - INFO - Epoch [21][300/2353] lr: 2.391e-02, eta: 1 day, 13:23:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9700, loss_cls: 3.3297, loss: 3.3297 +2025-04-30 23:16:26,948 - pyskl - INFO - Epoch [21][400/2353] lr: 2.390e-02, eta: 1 day, 13:22:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9800, loss_cls: 3.1716, loss: 3.1716 +2025-04-30 23:17:11,019 - pyskl - INFO - Epoch [21][500/2353] lr: 2.390e-02, eta: 1 day, 13:22:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9700, loss_cls: 3.3361, loss: 3.3361 +2025-04-30 23:17:55,154 - pyskl - INFO - Epoch [21][600/2353] lr: 2.389e-02, eta: 1 day, 13:21:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9731, loss_cls: 3.2723, loss: 3.2723 +2025-04-30 23:18:39,404 - pyskl - INFO - Epoch [21][700/2353] lr: 2.389e-02, eta: 1 day, 13:20:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9719, loss_cls: 3.2407, loss: 3.2407 +2025-04-30 23:19:23,643 - pyskl - INFO - Epoch [21][800/2353] lr: 2.388e-02, eta: 1 day, 13:20:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9706, loss_cls: 3.3185, loss: 3.3185 +2025-04-30 23:20:07,679 - pyskl - INFO - Epoch [21][900/2353] lr: 2.388e-02, eta: 1 day, 13:19:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9719, loss_cls: 3.2312, loss: 3.2312 +2025-04-30 23:20:51,724 - pyskl - INFO - Epoch [21][1000/2353] lr: 2.387e-02, eta: 1 day, 13:18:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9694, loss_cls: 3.2772, loss: 3.2772 +2025-04-30 23:21:35,651 - pyskl - INFO - Epoch [21][1100/2353] lr: 2.387e-02, eta: 1 day, 13:17:53, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9744, loss_cls: 3.3682, loss: 3.3682 +2025-04-30 23:22:19,639 - pyskl - INFO - Epoch [21][1200/2353] lr: 2.386e-02, eta: 1 day, 13:17:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9731, loss_cls: 3.3426, loss: 3.3426 +2025-04-30 23:23:03,709 - pyskl - INFO - Epoch [21][1300/2353] lr: 2.386e-02, eta: 1 day, 13:16:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9688, loss_cls: 3.3090, loss: 3.3090 +2025-04-30 23:23:47,848 - pyskl - INFO - Epoch [21][1400/2353] lr: 2.386e-02, eta: 1 day, 13:15:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9631, loss_cls: 3.3313, loss: 3.3313 +2025-04-30 23:24:32,005 - pyskl - INFO - Epoch [21][1500/2353] lr: 2.385e-02, eta: 1 day, 13:14:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9756, loss_cls: 3.3829, loss: 3.3829 +2025-04-30 23:25:15,978 - pyskl - INFO - Epoch [21][1600/2353] lr: 2.385e-02, eta: 1 day, 13:14:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9781, loss_cls: 3.2166, loss: 3.2166 +2025-04-30 23:26:00,172 - pyskl - INFO - Epoch [21][1700/2353] lr: 2.384e-02, eta: 1 day, 13:13:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9706, loss_cls: 3.2635, loss: 3.2635 +2025-04-30 23:26:44,187 - pyskl - INFO - Epoch [21][1800/2353] lr: 2.384e-02, eta: 1 day, 13:12:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9712, loss_cls: 3.2644, loss: 3.2644 +2025-04-30 23:27:28,282 - pyskl - INFO - Epoch [21][1900/2353] lr: 2.383e-02, eta: 1 day, 13:12:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9694, loss_cls: 3.3555, loss: 3.3555 +2025-04-30 23:28:12,286 - pyskl - INFO - Epoch [21][2000/2353] lr: 2.383e-02, eta: 1 day, 13:11:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9650, loss_cls: 3.3564, loss: 3.3564 +2025-04-30 23:28:56,441 - pyskl - INFO - Epoch [21][2100/2353] lr: 2.382e-02, eta: 1 day, 13:10:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9744, loss_cls: 3.3577, loss: 3.3577 +2025-04-30 23:29:40,396 - pyskl - INFO - Epoch [21][2200/2353] lr: 2.382e-02, eta: 1 day, 13:09:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9700, loss_cls: 3.2430, loss: 3.2430 +2025-04-30 23:30:24,613 - pyskl - INFO - Epoch [21][2300/2353] lr: 2.381e-02, eta: 1 day, 13:09:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9775, loss_cls: 3.1931, loss: 3.1931 +2025-04-30 23:30:48,611 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-04-30 23:32:18,684 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 23:32:18,761 - pyskl - INFO - +top1_acc 0.8624 +top5_acc 0.9862 +2025-04-30 23:32:18,819 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_18.pth was removed +2025-04-30 23:32:19,904 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. +2025-04-30 23:32:19,905 - pyskl - INFO - Best top1_acc is 0.8624 at 21 epoch. +2025-04-30 23:32:19,908 - pyskl - INFO - Epoch(val) [21][1184] top1_acc: 0.8624, top5_acc: 0.9862 +2025-04-30 23:33:24,971 - pyskl - INFO - Epoch [22][100/2353] lr: 2.381e-02, eta: 1 day, 13:07:44, time: 0.651, data_time: 0.211, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9781, loss_cls: 3.1406, loss: 3.1406 +2025-04-30 23:34:09,014 - pyskl - INFO - Epoch [22][200/2353] lr: 2.380e-02, eta: 1 day, 13:07:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9744, loss_cls: 3.2869, loss: 3.2869 +2025-04-30 23:34:53,072 - pyskl - INFO - Epoch [22][300/2353] lr: 2.380e-02, eta: 1 day, 13:06:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9731, loss_cls: 3.2842, loss: 3.2842 +2025-04-30 23:35:37,191 - pyskl - INFO - Epoch [22][400/2353] lr: 2.379e-02, eta: 1 day, 13:05:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9706, loss_cls: 3.3083, loss: 3.3083 +2025-04-30 23:36:21,527 - pyskl - INFO - Epoch [22][500/2353] lr: 2.379e-02, eta: 1 day, 13:04:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9744, loss_cls: 3.2050, loss: 3.2050 +2025-04-30 23:37:05,669 - pyskl - INFO - Epoch [22][600/2353] lr: 2.378e-02, eta: 1 day, 13:04:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9681, loss_cls: 3.3772, loss: 3.3772 +2025-04-30 23:37:49,830 - pyskl - INFO - Epoch [22][700/2353] lr: 2.378e-02, eta: 1 day, 13:03:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9688, loss_cls: 3.1848, loss: 3.1848 +2025-04-30 23:38:33,910 - pyskl - INFO - Epoch [22][800/2353] lr: 2.377e-02, eta: 1 day, 13:02:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9644, loss_cls: 3.2355, loss: 3.2355 +2025-04-30 23:39:17,991 - pyskl - INFO - Epoch [22][900/2353] lr: 2.377e-02, eta: 1 day, 13:01:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9725, loss_cls: 3.2908, loss: 3.2908 +2025-04-30 23:40:01,990 - pyskl - INFO - Epoch [22][1000/2353] lr: 2.376e-02, eta: 1 day, 13:01:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9769, loss_cls: 3.1973, loss: 3.1973 +2025-04-30 23:40:46,000 - pyskl - INFO - Epoch [22][1100/2353] lr: 2.376e-02, eta: 1 day, 13:00:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9838, loss_cls: 3.2187, loss: 3.2187 +2025-04-30 23:41:29,973 - pyskl - INFO - Epoch [22][1200/2353] lr: 2.375e-02, eta: 1 day, 12:59:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8063, top5_acc: 0.9719, loss_cls: 3.3453, loss: 3.3453 +2025-04-30 23:42:13,940 - pyskl - INFO - Epoch [22][1300/2353] lr: 2.375e-02, eta: 1 day, 12:58:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9719, loss_cls: 3.3423, loss: 3.3423 +2025-04-30 23:42:57,918 - pyskl - INFO - Epoch [22][1400/2353] lr: 2.374e-02, eta: 1 day, 12:58:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9706, loss_cls: 3.2386, loss: 3.2386 +2025-04-30 23:43:41,963 - pyskl - INFO - Epoch [22][1500/2353] lr: 2.374e-02, eta: 1 day, 12:57:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9762, loss_cls: 3.1378, loss: 3.1378 +2025-04-30 23:44:26,129 - pyskl - INFO - Epoch [22][1600/2353] lr: 2.373e-02, eta: 1 day, 12:56:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9738, loss_cls: 3.3407, loss: 3.3407 +2025-04-30 23:45:10,110 - pyskl - INFO - Epoch [22][1700/2353] lr: 2.373e-02, eta: 1 day, 12:56:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9644, loss_cls: 3.3463, loss: 3.3463 +2025-04-30 23:45:54,211 - pyskl - INFO - Epoch [22][1800/2353] lr: 2.372e-02, eta: 1 day, 12:55:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9812, loss_cls: 3.1467, loss: 3.1467 +2025-04-30 23:46:38,186 - pyskl - INFO - Epoch [22][1900/2353] lr: 2.372e-02, eta: 1 day, 12:54:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9688, loss_cls: 3.3387, loss: 3.3387 +2025-04-30 23:47:22,341 - pyskl - INFO - Epoch [22][2000/2353] lr: 2.371e-02, eta: 1 day, 12:53:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9812, loss_cls: 3.2096, loss: 3.2096 +2025-04-30 23:48:06,446 - pyskl - INFO - Epoch [22][2100/2353] lr: 2.371e-02, eta: 1 day, 12:53:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9769, loss_cls: 3.2820, loss: 3.2820 +2025-04-30 23:48:50,586 - pyskl - INFO - Epoch [22][2200/2353] lr: 2.370e-02, eta: 1 day, 12:52:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9619, loss_cls: 3.3044, loss: 3.3044 +2025-04-30 23:49:34,710 - pyskl - INFO - Epoch [22][2300/2353] lr: 2.370e-02, eta: 1 day, 12:51:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9675, loss_cls: 3.3654, loss: 3.3654 +2025-04-30 23:49:58,693 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-04-30 23:51:29,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-04-30 23:51:29,097 - pyskl - INFO - +top1_acc 0.8210 +top5_acc 0.9752 +2025-04-30 23:51:29,101 - pyskl - INFO - Epoch(val) [22][1184] top1_acc: 0.8210, top5_acc: 0.9752 +2025-04-30 23:52:34,410 - pyskl - INFO - Epoch [23][100/2353] lr: 2.369e-02, eta: 1 day, 12:50:19, time: 0.653, data_time: 0.213, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9750, loss_cls: 3.2208, loss: 3.2208 +2025-04-30 23:53:18,534 - pyskl - INFO - Epoch [23][200/2353] lr: 2.369e-02, eta: 1 day, 12:49:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9819, loss_cls: 3.0628, loss: 3.0628 +2025-04-30 23:54:02,403 - pyskl - INFO - Epoch [23][300/2353] lr: 2.368e-02, eta: 1 day, 12:48:51, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9712, loss_cls: 3.2268, loss: 3.2268 +2025-04-30 23:54:46,378 - pyskl - INFO - Epoch [23][400/2353] lr: 2.368e-02, eta: 1 day, 12:48:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9663, loss_cls: 3.4657, loss: 3.4657 +2025-04-30 23:55:30,376 - pyskl - INFO - Epoch [23][500/2353] lr: 2.367e-02, eta: 1 day, 12:47:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9775, loss_cls: 3.2236, loss: 3.2236 +2025-04-30 23:56:14,424 - pyskl - INFO - Epoch [23][600/2353] lr: 2.367e-02, eta: 1 day, 12:46:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9675, loss_cls: 3.2505, loss: 3.2505 +2025-04-30 23:56:58,499 - pyskl - INFO - Epoch [23][700/2353] lr: 2.366e-02, eta: 1 day, 12:45:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9675, loss_cls: 3.2312, loss: 3.2312 +2025-04-30 23:57:42,711 - pyskl - INFO - Epoch [23][800/2353] lr: 2.366e-02, eta: 1 day, 12:45:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9725, loss_cls: 3.2037, loss: 3.2037 +2025-04-30 23:58:26,813 - pyskl - INFO - Epoch [23][900/2353] lr: 2.365e-02, eta: 1 day, 12:44:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9656, loss_cls: 3.3838, loss: 3.3838 +2025-04-30 23:59:10,819 - pyskl - INFO - Epoch [23][1000/2353] lr: 2.365e-02, eta: 1 day, 12:43:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9725, loss_cls: 3.2297, loss: 3.2297 +2025-04-30 23:59:54,727 - pyskl - INFO - Epoch [23][1100/2353] lr: 2.364e-02, eta: 1 day, 12:42:58, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9775, loss_cls: 3.2002, loss: 3.2002 +2025-05-01 00:00:38,753 - pyskl - INFO - Epoch [23][1200/2353] lr: 2.364e-02, eta: 1 day, 12:42:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9725, loss_cls: 3.2894, loss: 3.2894 +2025-05-01 00:01:22,791 - pyskl - INFO - Epoch [23][1300/2353] lr: 2.363e-02, eta: 1 day, 12:41:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9750, loss_cls: 3.1634, loss: 3.1634 +2025-05-01 00:02:07,055 - pyskl - INFO - Epoch [23][1400/2353] lr: 2.363e-02, eta: 1 day, 12:40:47, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9731, loss_cls: 3.2406, loss: 3.2406 +2025-05-01 00:02:51,215 - pyskl - INFO - Epoch [23][1500/2353] lr: 2.362e-02, eta: 1 day, 12:40:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9788, loss_cls: 3.2718, loss: 3.2718 +2025-05-01 00:03:35,339 - pyskl - INFO - Epoch [23][1600/2353] lr: 2.362e-02, eta: 1 day, 12:39:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9700, loss_cls: 3.2689, loss: 3.2689 +2025-05-01 00:04:19,425 - pyskl - INFO - Epoch [23][1700/2353] lr: 2.361e-02, eta: 1 day, 12:38:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9750, loss_cls: 3.2329, loss: 3.2329 +2025-05-01 00:05:03,544 - pyskl - INFO - Epoch [23][1800/2353] lr: 2.361e-02, eta: 1 day, 12:37:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9844, loss_cls: 3.1791, loss: 3.1791 +2025-05-01 00:05:47,646 - pyskl - INFO - Epoch [23][1900/2353] lr: 2.360e-02, eta: 1 day, 12:37:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9719, loss_cls: 3.2573, loss: 3.2573 +2025-05-01 00:06:31,709 - pyskl - INFO - Epoch [23][2000/2353] lr: 2.360e-02, eta: 1 day, 12:36:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9694, loss_cls: 3.2249, loss: 3.2249 +2025-05-01 00:07:15,787 - pyskl - INFO - Epoch [23][2100/2353] lr: 2.359e-02, eta: 1 day, 12:35:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9675, loss_cls: 3.2296, loss: 3.2296 +2025-05-01 00:07:59,729 - pyskl - INFO - Epoch [23][2200/2353] lr: 2.359e-02, eta: 1 day, 12:34:56, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9694, loss_cls: 3.2780, loss: 3.2780 +2025-05-01 00:08:43,757 - pyskl - INFO - Epoch [23][2300/2353] lr: 2.358e-02, eta: 1 day, 12:34:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9675, loss_cls: 3.2327, loss: 3.2327 +2025-05-01 00:09:07,701 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-05-01 00:10:37,915 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 00:10:37,993 - pyskl - INFO - +top1_acc 0.8517 +top5_acc 0.9808 +2025-05-01 00:10:37,996 - pyskl - INFO - Epoch(val) [23][1184] top1_acc: 0.8517, top5_acc: 0.9808 +2025-05-01 00:11:43,097 - pyskl - INFO - Epoch [24][100/2353] lr: 2.357e-02, eta: 1 day, 12:32:52, time: 0.651, data_time: 0.212, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9762, loss_cls: 3.0920, loss: 3.0920 +2025-05-01 00:12:27,080 - pyskl - INFO - Epoch [24][200/2353] lr: 2.357e-02, eta: 1 day, 12:32:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9750, loss_cls: 3.1918, loss: 3.1918 +2025-05-01 00:13:11,144 - pyskl - INFO - Epoch [24][300/2353] lr: 2.356e-02, eta: 1 day, 12:31:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9694, loss_cls: 3.3183, loss: 3.3183 +2025-05-01 00:13:55,231 - pyskl - INFO - Epoch [24][400/2353] lr: 2.356e-02, eta: 1 day, 12:30:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9825, loss_cls: 3.0854, loss: 3.0854 +2025-05-01 00:14:39,515 - pyskl - INFO - Epoch [24][500/2353] lr: 2.355e-02, eta: 1 day, 12:29:57, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9744, loss_cls: 3.2268, loss: 3.2268 +2025-05-01 00:15:23,586 - pyskl - INFO - Epoch [24][600/2353] lr: 2.355e-02, eta: 1 day, 12:29:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9725, loss_cls: 3.3040, loss: 3.3040 +2025-05-01 00:16:07,919 - pyskl - INFO - Epoch [24][700/2353] lr: 2.354e-02, eta: 1 day, 12:28:31, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9656, loss_cls: 3.4144, loss: 3.4144 +2025-05-01 00:16:52,154 - pyskl - INFO - Epoch [24][800/2353] lr: 2.354e-02, eta: 1 day, 12:27:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9775, loss_cls: 3.1339, loss: 3.1339 +2025-05-01 00:17:36,366 - pyskl - INFO - Epoch [24][900/2353] lr: 2.353e-02, eta: 1 day, 12:27:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9744, loss_cls: 3.2461, loss: 3.2461 +2025-05-01 00:18:20,586 - pyskl - INFO - Epoch [24][1000/2353] lr: 2.353e-02, eta: 1 day, 12:26:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9694, loss_cls: 3.2569, loss: 3.2569 +2025-05-01 00:19:04,695 - pyskl - INFO - Epoch [24][1100/2353] lr: 2.352e-02, eta: 1 day, 12:25:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9744, loss_cls: 3.2817, loss: 3.2817 +2025-05-01 00:19:48,849 - pyskl - INFO - Epoch [24][1200/2353] lr: 2.352e-02, eta: 1 day, 12:24:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9775, loss_cls: 3.3564, loss: 3.3564 +2025-05-01 00:20:32,919 - pyskl - INFO - Epoch [24][1300/2353] lr: 2.351e-02, eta: 1 day, 12:24:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9744, loss_cls: 3.2120, loss: 3.2120 +2025-05-01 00:21:16,905 - pyskl - INFO - Epoch [24][1400/2353] lr: 2.350e-02, eta: 1 day, 12:23:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9688, loss_cls: 3.2968, loss: 3.2968 +2025-05-01 00:22:00,932 - pyskl - INFO - Epoch [24][1500/2353] lr: 2.350e-02, eta: 1 day, 12:22:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9663, loss_cls: 3.2083, loss: 3.2083 +2025-05-01 00:22:44,985 - pyskl - INFO - Epoch [24][1600/2353] lr: 2.349e-02, eta: 1 day, 12:21:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9731, loss_cls: 3.2955, loss: 3.2955 +2025-05-01 00:23:29,107 - pyskl - INFO - Epoch [24][1700/2353] lr: 2.349e-02, eta: 1 day, 12:21:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9806, loss_cls: 3.1979, loss: 3.1979 +2025-05-01 00:24:13,351 - pyskl - INFO - Epoch [24][1800/2353] lr: 2.348e-02, eta: 1 day, 12:20:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9781, loss_cls: 3.1749, loss: 3.1749 +2025-05-01 00:24:56,967 - pyskl - INFO - Epoch [24][1900/2353] lr: 2.348e-02, eta: 1 day, 12:19:45, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9700, loss_cls: 3.4173, loss: 3.4173 +2025-05-01 00:25:40,593 - pyskl - INFO - Epoch [24][2000/2353] lr: 2.347e-02, eta: 1 day, 12:18:59, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9700, loss_cls: 3.2043, loss: 3.2043 +2025-05-01 00:26:24,584 - pyskl - INFO - Epoch [24][2100/2353] lr: 2.347e-02, eta: 1 day, 12:18:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9731, loss_cls: 3.2035, loss: 3.2035 +2025-05-01 00:27:08,559 - pyskl - INFO - Epoch [24][2200/2353] lr: 2.346e-02, eta: 1 day, 12:17:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9725, loss_cls: 3.2320, loss: 3.2320 +2025-05-01 00:27:52,593 - pyskl - INFO - Epoch [24][2300/2353] lr: 2.346e-02, eta: 1 day, 12:16:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9750, loss_cls: 3.2643, loss: 3.2643 +2025-05-01 00:28:16,596 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-05-01 00:29:46,877 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 00:29:46,955 - pyskl - INFO - +top1_acc 0.8183 +top5_acc 0.9740 +2025-05-01 00:29:46,958 - pyskl - INFO - Epoch(val) [24][1184] top1_acc: 0.8183, top5_acc: 0.9740 +2025-05-01 00:30:52,329 - pyskl - INFO - Epoch [25][100/2353] lr: 2.345e-02, eta: 1 day, 12:15:28, time: 0.654, data_time: 0.212, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9750, loss_cls: 3.2512, loss: 3.2512 +2025-05-01 00:31:36,523 - pyskl - INFO - Epoch [25][200/2353] lr: 2.344e-02, eta: 1 day, 12:14:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9706, loss_cls: 3.2475, loss: 3.2475 +2025-05-01 00:32:20,583 - pyskl - INFO - Epoch [25][300/2353] lr: 2.344e-02, eta: 1 day, 12:14:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9731, loss_cls: 3.1911, loss: 3.1911 +2025-05-01 00:33:04,760 - pyskl - INFO - Epoch [25][400/2353] lr: 2.343e-02, eta: 1 day, 12:13:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9719, loss_cls: 3.1784, loss: 3.1784 +2025-05-01 00:33:48,965 - pyskl - INFO - Epoch [25][500/2353] lr: 2.343e-02, eta: 1 day, 12:12:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9769, loss_cls: 3.1010, loss: 3.1010 +2025-05-01 00:34:33,166 - pyskl - INFO - Epoch [25][600/2353] lr: 2.342e-02, eta: 1 day, 12:11:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9688, loss_cls: 3.3881, loss: 3.3881 +2025-05-01 00:35:17,155 - pyskl - INFO - Epoch [25][700/2353] lr: 2.342e-02, eta: 1 day, 12:11:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9719, loss_cls: 3.2170, loss: 3.2170 +2025-05-01 00:36:01,154 - pyskl - INFO - Epoch [25][800/2353] lr: 2.341e-02, eta: 1 day, 12:10:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9706, loss_cls: 3.1469, loss: 3.1469 +2025-05-01 00:36:45,116 - pyskl - INFO - Epoch [25][900/2353] lr: 2.341e-02, eta: 1 day, 12:09:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9681, loss_cls: 3.2567, loss: 3.2567 +2025-05-01 00:37:29,106 - pyskl - INFO - Epoch [25][1000/2353] lr: 2.340e-02, eta: 1 day, 12:08:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9712, loss_cls: 3.3132, loss: 3.3132 +2025-05-01 00:38:13,073 - pyskl - INFO - Epoch [25][1100/2353] lr: 2.339e-02, eta: 1 day, 12:08:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9794, loss_cls: 3.2567, loss: 3.2567 +2025-05-01 00:38:57,030 - pyskl - INFO - Epoch [25][1200/2353] lr: 2.339e-02, eta: 1 day, 12:07:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9750, loss_cls: 3.1682, loss: 3.1682 +2025-05-01 00:39:40,954 - pyskl - INFO - Epoch [25][1300/2353] lr: 2.338e-02, eta: 1 day, 12:06:40, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9725, loss_cls: 3.2316, loss: 3.2316 +2025-05-01 00:40:24,911 - pyskl - INFO - Epoch [25][1400/2353] lr: 2.338e-02, eta: 1 day, 12:05:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9781, loss_cls: 3.0874, loss: 3.0874 +2025-05-01 00:41:08,835 - pyskl - INFO - Epoch [25][1500/2353] lr: 2.337e-02, eta: 1 day, 12:05:11, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9700, loss_cls: 3.1358, loss: 3.1358 +2025-05-01 00:41:52,823 - pyskl - INFO - Epoch [25][1600/2353] lr: 2.337e-02, eta: 1 day, 12:04:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9756, loss_cls: 3.1711, loss: 3.1711 +2025-05-01 00:42:36,829 - pyskl - INFO - Epoch [25][1700/2353] lr: 2.336e-02, eta: 1 day, 12:03:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9769, loss_cls: 3.2221, loss: 3.2221 +2025-05-01 00:43:20,850 - pyskl - INFO - Epoch [25][1800/2353] lr: 2.336e-02, eta: 1 day, 12:02:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9775, loss_cls: 3.1928, loss: 3.1928 +2025-05-01 00:44:04,826 - pyskl - INFO - Epoch [25][1900/2353] lr: 2.335e-02, eta: 1 day, 12:02:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9769, loss_cls: 3.2212, loss: 3.2212 +2025-05-01 00:44:48,822 - pyskl - INFO - Epoch [25][2000/2353] lr: 2.334e-02, eta: 1 day, 12:01:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9769, loss_cls: 3.2335, loss: 3.2335 +2025-05-01 00:45:32,807 - pyskl - INFO - Epoch [25][2100/2353] lr: 2.334e-02, eta: 1 day, 12:00:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9738, loss_cls: 3.3120, loss: 3.3120 +2025-05-01 00:46:16,718 - pyskl - INFO - Epoch [25][2200/2353] lr: 2.333e-02, eta: 1 day, 12:00:00, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9738, loss_cls: 3.2560, loss: 3.2560 +2025-05-01 00:47:00,768 - pyskl - INFO - Epoch [25][2300/2353] lr: 2.333e-02, eta: 1 day, 11:59:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9738, loss_cls: 3.3044, loss: 3.3044 +2025-05-01 00:47:24,736 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-05-01 00:48:54,555 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 00:48:54,634 - pyskl - INFO - +top1_acc 0.8398 +top5_acc 0.9819 +2025-05-01 00:48:54,637 - pyskl - INFO - Epoch(val) [25][1184] top1_acc: 0.8398, top5_acc: 0.9819 +2025-05-01 00:50:00,164 - pyskl - INFO - Epoch [26][100/2353] lr: 2.332e-02, eta: 1 day, 11:58:00, time: 0.655, data_time: 0.211, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9844, loss_cls: 3.0237, loss: 3.0237 +2025-05-01 00:50:44,246 - pyskl - INFO - Epoch [26][200/2353] lr: 2.331e-02, eta: 1 day, 11:57:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9762, loss_cls: 3.1462, loss: 3.1462 +2025-05-01 00:51:28,464 - pyskl - INFO - Epoch [26][300/2353] lr: 2.331e-02, eta: 1 day, 11:56:33, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9712, loss_cls: 3.2763, loss: 3.2763 +2025-05-01 00:52:12,452 - pyskl - INFO - Epoch [26][400/2353] lr: 2.330e-02, eta: 1 day, 11:55:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9825, loss_cls: 3.1507, loss: 3.1507 +2025-05-01 00:52:56,646 - pyskl - INFO - Epoch [26][500/2353] lr: 2.330e-02, eta: 1 day, 11:55:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9738, loss_cls: 3.2308, loss: 3.2308 +2025-05-01 00:53:41,012 - pyskl - INFO - Epoch [26][600/2353] lr: 2.329e-02, eta: 1 day, 11:54:23, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9688, loss_cls: 3.2519, loss: 3.2519 +2025-05-01 00:54:25,221 - pyskl - INFO - Epoch [26][700/2353] lr: 2.329e-02, eta: 1 day, 11:53:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9825, loss_cls: 3.0634, loss: 3.0634 +2025-05-01 00:55:09,550 - pyskl - INFO - Epoch [26][800/2353] lr: 2.328e-02, eta: 1 day, 11:52:57, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9756, loss_cls: 3.0424, loss: 3.0424 +2025-05-01 00:55:53,606 - pyskl - INFO - Epoch [26][900/2353] lr: 2.327e-02, eta: 1 day, 11:52:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9712, loss_cls: 3.2420, loss: 3.2420 +2025-05-01 00:56:37,580 - pyskl - INFO - Epoch [26][1000/2353] lr: 2.327e-02, eta: 1 day, 11:51:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9719, loss_cls: 3.1455, loss: 3.1455 +2025-05-01 00:57:21,592 - pyskl - INFO - Epoch [26][1100/2353] lr: 2.326e-02, eta: 1 day, 11:50:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9725, loss_cls: 3.1011, loss: 3.1011 +2025-05-01 00:58:05,651 - pyskl - INFO - Epoch [26][1200/2353] lr: 2.326e-02, eta: 1 day, 11:50:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9788, loss_cls: 3.0545, loss: 3.0545 +2025-05-01 00:58:49,655 - pyskl - INFO - Epoch [26][1300/2353] lr: 2.325e-02, eta: 1 day, 11:49:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9781, loss_cls: 3.1498, loss: 3.1498 +2025-05-01 00:59:33,649 - pyskl - INFO - Epoch [26][1400/2353] lr: 2.325e-02, eta: 1 day, 11:48:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9781, loss_cls: 3.1167, loss: 3.1167 +2025-05-01 01:00:17,758 - pyskl - INFO - Epoch [26][1500/2353] lr: 2.324e-02, eta: 1 day, 11:47:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9756, loss_cls: 3.2674, loss: 3.2674 +2025-05-01 01:01:01,788 - pyskl - INFO - Epoch [26][1600/2353] lr: 2.324e-02, eta: 1 day, 11:47:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9700, loss_cls: 3.2198, loss: 3.2198 +2025-05-01 01:01:45,834 - pyskl - INFO - Epoch [26][1700/2353] lr: 2.323e-02, eta: 1 day, 11:46:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9719, loss_cls: 3.2013, loss: 3.2013 +2025-05-01 01:02:29,925 - pyskl - INFO - Epoch [26][1800/2353] lr: 2.322e-02, eta: 1 day, 11:45:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9744, loss_cls: 3.1312, loss: 3.1312 +2025-05-01 01:03:13,909 - pyskl - INFO - Epoch [26][1900/2353] lr: 2.322e-02, eta: 1 day, 11:44:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9725, loss_cls: 3.2165, loss: 3.2165 +2025-05-01 01:03:57,950 - pyskl - INFO - Epoch [26][2000/2353] lr: 2.321e-02, eta: 1 day, 11:44:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9712, loss_cls: 3.2485, loss: 3.2485 +2025-05-01 01:04:41,970 - pyskl - INFO - Epoch [26][2100/2353] lr: 2.321e-02, eta: 1 day, 11:43:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9700, loss_cls: 3.1476, loss: 3.1476 +2025-05-01 01:05:25,982 - pyskl - INFO - Epoch [26][2200/2353] lr: 2.320e-02, eta: 1 day, 11:42:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9731, loss_cls: 3.2347, loss: 3.2347 +2025-05-01 01:06:09,995 - pyskl - INFO - Epoch [26][2300/2353] lr: 2.320e-02, eta: 1 day, 11:41:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9762, loss_cls: 3.2214, loss: 3.2214 +2025-05-01 01:06:34,049 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-05-01 01:08:04,213 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 01:08:04,291 - pyskl - INFO - +top1_acc 0.8196 +top5_acc 0.9748 +2025-05-01 01:08:04,295 - pyskl - INFO - Epoch(val) [26][1184] top1_acc: 0.8196, top5_acc: 0.9748 +2025-05-01 01:09:09,935 - pyskl - INFO - Epoch [27][100/2353] lr: 2.319e-02, eta: 1 day, 11:40:40, time: 0.656, data_time: 0.216, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9794, loss_cls: 3.2058, loss: 3.2058 +2025-05-01 01:09:54,018 - pyskl - INFO - Epoch [27][200/2353] lr: 2.318e-02, eta: 1 day, 11:39:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9781, loss_cls: 3.1585, loss: 3.1585 +2025-05-01 01:10:38,050 - pyskl - INFO - Epoch [27][300/2353] lr: 2.317e-02, eta: 1 day, 11:39:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9731, loss_cls: 3.2655, loss: 3.2655 +2025-05-01 01:11:22,067 - pyskl - INFO - Epoch [27][400/2353] lr: 2.317e-02, eta: 1 day, 11:38:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9769, loss_cls: 3.2145, loss: 3.2145 +2025-05-01 01:12:06,225 - pyskl - INFO - Epoch [27][500/2353] lr: 2.316e-02, eta: 1 day, 11:37:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9756, loss_cls: 3.1325, loss: 3.1325 +2025-05-01 01:12:50,435 - pyskl - INFO - Epoch [27][600/2353] lr: 2.316e-02, eta: 1 day, 11:37:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9756, loss_cls: 3.1753, loss: 3.1753 +2025-05-01 01:13:34,603 - pyskl - INFO - Epoch [27][700/2353] lr: 2.315e-02, eta: 1 day, 11:36:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9775, loss_cls: 3.0625, loss: 3.0625 +2025-05-01 01:14:18,678 - pyskl - INFO - Epoch [27][800/2353] lr: 2.315e-02, eta: 1 day, 11:35:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9675, loss_cls: 3.2871, loss: 3.2871 +2025-05-01 01:15:02,777 - pyskl - INFO - Epoch [27][900/2353] lr: 2.314e-02, eta: 1 day, 11:34:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9794, loss_cls: 3.1689, loss: 3.1689 +2025-05-01 01:15:46,927 - pyskl - INFO - Epoch [27][1000/2353] lr: 2.313e-02, eta: 1 day, 11:34:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9781, loss_cls: 3.1732, loss: 3.1732 +2025-05-01 01:16:31,015 - pyskl - INFO - Epoch [27][1100/2353] lr: 2.313e-02, eta: 1 day, 11:33:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9725, loss_cls: 3.2932, loss: 3.2932 +2025-05-01 01:17:15,085 - pyskl - INFO - Epoch [27][1200/2353] lr: 2.312e-02, eta: 1 day, 11:32:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9781, loss_cls: 3.1015, loss: 3.1015 +2025-05-01 01:17:59,189 - pyskl - INFO - Epoch [27][1300/2353] lr: 2.312e-02, eta: 1 day, 11:31:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9675, loss_cls: 3.1659, loss: 3.1659 +2025-05-01 01:18:43,362 - pyskl - INFO - Epoch [27][1400/2353] lr: 2.311e-02, eta: 1 day, 11:31:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9681, loss_cls: 3.2719, loss: 3.2719 +2025-05-01 01:19:27,406 - pyskl - INFO - Epoch [27][1500/2353] lr: 2.310e-02, eta: 1 day, 11:30:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9750, loss_cls: 3.1705, loss: 3.1705 +2025-05-01 01:20:11,443 - pyskl - INFO - Epoch [27][1600/2353] lr: 2.310e-02, eta: 1 day, 11:29:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9700, loss_cls: 3.1919, loss: 3.1919 +2025-05-01 01:20:55,455 - pyskl - INFO - Epoch [27][1700/2353] lr: 2.309e-02, eta: 1 day, 11:29:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9812, loss_cls: 3.0832, loss: 3.0832 +2025-05-01 01:21:39,485 - pyskl - INFO - Epoch [27][1800/2353] lr: 2.309e-02, eta: 1 day, 11:28:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9756, loss_cls: 3.2087, loss: 3.2087 +2025-05-01 01:22:23,594 - pyskl - INFO - Epoch [27][1900/2353] lr: 2.308e-02, eta: 1 day, 11:27:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9806, loss_cls: 3.1610, loss: 3.1610 +2025-05-01 01:23:07,664 - pyskl - INFO - Epoch [27][2000/2353] lr: 2.308e-02, eta: 1 day, 11:26:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9750, loss_cls: 3.1846, loss: 3.1846 +2025-05-01 01:23:51,727 - pyskl - INFO - Epoch [27][2100/2353] lr: 2.307e-02, eta: 1 day, 11:26:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9719, loss_cls: 3.1685, loss: 3.1685 +2025-05-01 01:24:35,837 - pyskl - INFO - Epoch [27][2200/2353] lr: 2.306e-02, eta: 1 day, 11:25:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 3.0630, loss: 3.0630 +2025-05-01 01:25:20,070 - pyskl - INFO - Epoch [27][2300/2353] lr: 2.306e-02, eta: 1 day, 11:24:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9700, loss_cls: 3.1763, loss: 3.1763 +2025-05-01 01:25:44,141 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-05-01 01:27:14,363 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 01:27:14,440 - pyskl - INFO - +top1_acc 0.8510 +top5_acc 0.9842 +2025-05-01 01:27:14,443 - pyskl - INFO - Epoch(val) [27][1184] top1_acc: 0.8510, top5_acc: 0.9842 +2025-05-01 01:28:20,229 - pyskl - INFO - Epoch [28][100/2353] lr: 2.305e-02, eta: 1 day, 11:23:23, time: 0.658, data_time: 0.215, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9762, loss_cls: 3.1700, loss: 3.1700 +2025-05-01 01:29:04,358 - pyskl - INFO - Epoch [28][200/2353] lr: 2.304e-02, eta: 1 day, 11:22:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9769, loss_cls: 3.0020, loss: 3.0020 +2025-05-01 01:29:48,342 - pyskl - INFO - Epoch [28][300/2353] lr: 2.304e-02, eta: 1 day, 11:21:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9769, loss_cls: 3.1517, loss: 3.1517 +2025-05-01 01:30:32,316 - pyskl - INFO - Epoch [28][400/2353] lr: 2.303e-02, eta: 1 day, 11:21:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9725, loss_cls: 3.1133, loss: 3.1133 +2025-05-01 01:31:16,216 - pyskl - INFO - Epoch [28][500/2353] lr: 2.302e-02, eta: 1 day, 11:20:26, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9831, loss_cls: 3.2171, loss: 3.2171 +2025-05-01 01:32:00,050 - pyskl - INFO - Epoch [28][600/2353] lr: 2.302e-02, eta: 1 day, 11:19:41, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 3.0099, loss: 3.0099 +2025-05-01 01:32:43,994 - pyskl - INFO - Epoch [28][700/2353] lr: 2.301e-02, eta: 1 day, 11:18:56, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9788, loss_cls: 3.0801, loss: 3.0801 +2025-05-01 01:33:28,122 - pyskl - INFO - Epoch [28][800/2353] lr: 2.301e-02, eta: 1 day, 11:18:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9819, loss_cls: 3.1063, loss: 3.1063 +2025-05-01 01:34:12,173 - pyskl - INFO - Epoch [28][900/2353] lr: 2.300e-02, eta: 1 day, 11:17:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9756, loss_cls: 3.1581, loss: 3.1581 +2025-05-01 01:34:56,255 - pyskl - INFO - Epoch [28][1000/2353] lr: 2.299e-02, eta: 1 day, 11:16:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9744, loss_cls: 3.2507, loss: 3.2507 +2025-05-01 01:35:40,321 - pyskl - INFO - Epoch [28][1100/2353] lr: 2.299e-02, eta: 1 day, 11:16:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9750, loss_cls: 3.2716, loss: 3.2716 +2025-05-01 01:36:24,464 - pyskl - INFO - Epoch [28][1200/2353] lr: 2.298e-02, eta: 1 day, 11:15:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9775, loss_cls: 3.0681, loss: 3.0681 +2025-05-01 01:37:08,552 - pyskl - INFO - Epoch [28][1300/2353] lr: 2.298e-02, eta: 1 day, 11:14:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9756, loss_cls: 3.0901, loss: 3.0901 +2025-05-01 01:37:52,642 - pyskl - INFO - Epoch [28][1400/2353] lr: 2.297e-02, eta: 1 day, 11:13:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9762, loss_cls: 3.0495, loss: 3.0495 +2025-05-01 01:38:36,743 - pyskl - INFO - Epoch [28][1500/2353] lr: 2.296e-02, eta: 1 day, 11:13:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9756, loss_cls: 3.0492, loss: 3.0492 +2025-05-01 01:39:20,825 - pyskl - INFO - Epoch [28][1600/2353] lr: 2.296e-02, eta: 1 day, 11:12:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9644, loss_cls: 3.2303, loss: 3.2303 +2025-05-01 01:40:04,958 - pyskl - INFO - Epoch [28][1700/2353] lr: 2.295e-02, eta: 1 day, 11:11:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9663, loss_cls: 3.3188, loss: 3.3188 +2025-05-01 01:40:49,091 - pyskl - INFO - Epoch [28][1800/2353] lr: 2.295e-02, eta: 1 day, 11:10:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9762, loss_cls: 3.1792, loss: 3.1792 +2025-05-01 01:41:33,162 - pyskl - INFO - Epoch [28][1900/2353] lr: 2.294e-02, eta: 1 day, 11:10:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9731, loss_cls: 3.0631, loss: 3.0631 +2025-05-01 01:42:17,311 - pyskl - INFO - Epoch [28][2000/2353] lr: 2.293e-02, eta: 1 day, 11:09:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9819, loss_cls: 3.1111, loss: 3.1111 +2025-05-01 01:43:01,288 - pyskl - INFO - Epoch [28][2100/2353] lr: 2.293e-02, eta: 1 day, 11:08:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9775, loss_cls: 3.1350, loss: 3.1350 +2025-05-01 01:43:45,326 - pyskl - INFO - Epoch [28][2200/2353] lr: 2.292e-02, eta: 1 day, 11:07:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9725, loss_cls: 3.1751, loss: 3.1751 +2025-05-01 01:44:29,433 - pyskl - INFO - Epoch [28][2300/2353] lr: 2.291e-02, eta: 1 day, 11:07:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9731, loss_cls: 3.1068, loss: 3.1068 +2025-05-01 01:44:53,461 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-05-01 01:46:23,507 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 01:46:23,585 - pyskl - INFO - +top1_acc 0.8615 +top5_acc 0.9851 +2025-05-01 01:46:23,588 - pyskl - INFO - Epoch(val) [28][1184] top1_acc: 0.8615, top5_acc: 0.9851 +2025-05-01 01:47:29,039 - pyskl - INFO - Epoch [29][100/2353] lr: 2.291e-02, eta: 1 day, 11:06:00, time: 0.654, data_time: 0.213, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9775, loss_cls: 3.0466, loss: 3.0466 +2025-05-01 01:48:13,072 - pyskl - INFO - Epoch [29][200/2353] lr: 2.290e-02, eta: 1 day, 11:05:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9750, loss_cls: 3.1517, loss: 3.1517 +2025-05-01 01:48:57,214 - pyskl - INFO - Epoch [29][300/2353] lr: 2.289e-02, eta: 1 day, 11:04:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9838, loss_cls: 3.0651, loss: 3.0651 +2025-05-01 01:49:41,404 - pyskl - INFO - Epoch [29][400/2353] lr: 2.289e-02, eta: 1 day, 11:03:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9788, loss_cls: 3.1031, loss: 3.1031 +2025-05-01 01:50:25,654 - pyskl - INFO - Epoch [29][500/2353] lr: 2.288e-02, eta: 1 day, 11:03:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9750, loss_cls: 3.0408, loss: 3.0408 +2025-05-01 01:51:09,926 - pyskl - INFO - Epoch [29][600/2353] lr: 2.287e-02, eta: 1 day, 11:02:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9806, loss_cls: 3.0601, loss: 3.0601 +2025-05-01 01:51:53,929 - pyskl - INFO - Epoch [29][700/2353] lr: 2.287e-02, eta: 1 day, 11:01:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9788, loss_cls: 3.1376, loss: 3.1376 +2025-05-01 01:52:37,994 - pyskl - INFO - Epoch [29][800/2353] lr: 2.286e-02, eta: 1 day, 11:00:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9781, loss_cls: 3.0767, loss: 3.0767 +2025-05-01 01:53:21,972 - pyskl - INFO - Epoch [29][900/2353] lr: 2.286e-02, eta: 1 day, 11:00:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9812, loss_cls: 3.0852, loss: 3.0852 +2025-05-01 01:54:05,883 - pyskl - INFO - Epoch [29][1000/2353] lr: 2.285e-02, eta: 1 day, 10:59:26, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9812, loss_cls: 3.1239, loss: 3.1239 +2025-05-01 01:54:49,859 - pyskl - INFO - Epoch [29][1100/2353] lr: 2.284e-02, eta: 1 day, 10:58:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9788, loss_cls: 3.1398, loss: 3.1398 +2025-05-01 01:55:33,906 - pyskl - INFO - Epoch [29][1200/2353] lr: 2.284e-02, eta: 1 day, 10:57:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9750, loss_cls: 3.1330, loss: 3.1330 +2025-05-01 01:56:17,912 - pyskl - INFO - Epoch [29][1300/2353] lr: 2.283e-02, eta: 1 day, 10:57:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9738, loss_cls: 3.2166, loss: 3.2166 +2025-05-01 01:57:01,967 - pyskl - INFO - Epoch [29][1400/2353] lr: 2.282e-02, eta: 1 day, 10:56:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9781, loss_cls: 3.1370, loss: 3.1370 +2025-05-01 01:57:45,991 - pyskl - INFO - Epoch [29][1500/2353] lr: 2.282e-02, eta: 1 day, 10:55:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9731, loss_cls: 3.1615, loss: 3.1615 +2025-05-01 01:58:29,866 - pyskl - INFO - Epoch [29][1600/2353] lr: 2.281e-02, eta: 1 day, 10:55:01, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9700, loss_cls: 3.2504, loss: 3.2504 +2025-05-01 01:59:14,087 - pyskl - INFO - Epoch [29][1700/2353] lr: 2.281e-02, eta: 1 day, 10:54:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9694, loss_cls: 3.1919, loss: 3.1919 +2025-05-01 01:59:58,072 - pyskl - INFO - Epoch [29][1800/2353] lr: 2.280e-02, eta: 1 day, 10:53:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9769, loss_cls: 3.1021, loss: 3.1021 +2025-05-01 02:00:42,086 - pyskl - INFO - Epoch [29][1900/2353] lr: 2.279e-02, eta: 1 day, 10:52:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9669, loss_cls: 3.1752, loss: 3.1752 +2025-05-01 02:01:26,034 - pyskl - INFO - Epoch [29][2000/2353] lr: 2.279e-02, eta: 1 day, 10:52:05, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 3.0772, loss: 3.0772 +2025-05-01 02:02:10,175 - pyskl - INFO - Epoch [29][2100/2353] lr: 2.278e-02, eta: 1 day, 10:51:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9738, loss_cls: 3.1661, loss: 3.1661 +2025-05-01 02:02:54,278 - pyskl - INFO - Epoch [29][2200/2353] lr: 2.277e-02, eta: 1 day, 10:50:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9738, loss_cls: 3.2213, loss: 3.2213 +2025-05-01 02:03:38,501 - pyskl - INFO - Epoch [29][2300/2353] lr: 2.277e-02, eta: 1 day, 10:49:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9731, loss_cls: 3.2965, loss: 3.2965 +2025-05-01 02:04:02,559 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-05-01 02:05:32,597 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 02:05:32,673 - pyskl - INFO - +top1_acc 0.8454 +top5_acc 0.9819 +2025-05-01 02:05:32,677 - pyskl - INFO - Epoch(val) [29][1184] top1_acc: 0.8454, top5_acc: 0.9819 +2025-05-01 02:06:37,802 - pyskl - INFO - Epoch [30][100/2353] lr: 2.276e-02, eta: 1 day, 10:48:37, time: 0.651, data_time: 0.211, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9856, loss_cls: 2.9964, loss: 2.9964 +2025-05-01 02:07:21,859 - pyskl - INFO - Epoch [30][200/2353] lr: 2.275e-02, eta: 1 day, 10:47:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9756, loss_cls: 3.1419, loss: 3.1419 +2025-05-01 02:08:05,902 - pyskl - INFO - Epoch [30][300/2353] lr: 2.275e-02, eta: 1 day, 10:47:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9788, loss_cls: 3.0243, loss: 3.0243 +2025-05-01 02:08:49,956 - pyskl - INFO - Epoch [30][400/2353] lr: 2.274e-02, eta: 1 day, 10:46:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9806, loss_cls: 2.9919, loss: 2.9919 +2025-05-01 02:09:34,036 - pyskl - INFO - Epoch [30][500/2353] lr: 2.273e-02, eta: 1 day, 10:45:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9788, loss_cls: 3.0550, loss: 3.0550 +2025-05-01 02:10:18,076 - pyskl - INFO - Epoch [30][600/2353] lr: 2.273e-02, eta: 1 day, 10:44:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9831, loss_cls: 3.1454, loss: 3.1454 +2025-05-01 02:11:02,036 - pyskl - INFO - Epoch [30][700/2353] lr: 2.272e-02, eta: 1 day, 10:44:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9769, loss_cls: 3.1755, loss: 3.1755 +2025-05-01 02:11:45,929 - pyskl - INFO - Epoch [30][800/2353] lr: 2.271e-02, eta: 1 day, 10:43:29, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9644, loss_cls: 3.2236, loss: 3.2236 +2025-05-01 02:12:29,946 - pyskl - INFO - Epoch [30][900/2353] lr: 2.271e-02, eta: 1 day, 10:42:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9706, loss_cls: 3.0673, loss: 3.0673 +2025-05-01 02:13:13,992 - pyskl - INFO - Epoch [30][1000/2353] lr: 2.270e-02, eta: 1 day, 10:42:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9775, loss_cls: 3.1942, loss: 3.1942 +2025-05-01 02:13:58,087 - pyskl - INFO - Epoch [30][1100/2353] lr: 2.269e-02, eta: 1 day, 10:41:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9706, loss_cls: 3.1336, loss: 3.1336 +2025-05-01 02:14:42,043 - pyskl - INFO - Epoch [30][1200/2353] lr: 2.269e-02, eta: 1 day, 10:40:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9725, loss_cls: 3.0831, loss: 3.0831 +2025-05-01 02:15:26,063 - pyskl - INFO - Epoch [30][1300/2353] lr: 2.268e-02, eta: 1 day, 10:39:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9762, loss_cls: 3.1764, loss: 3.1764 +2025-05-01 02:16:09,987 - pyskl - INFO - Epoch [30][1400/2353] lr: 2.267e-02, eta: 1 day, 10:39:04, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9744, loss_cls: 3.0931, loss: 3.0931 +2025-05-01 02:16:54,090 - pyskl - INFO - Epoch [30][1500/2353] lr: 2.267e-02, eta: 1 day, 10:38:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9756, loss_cls: 3.1813, loss: 3.1813 +2025-05-01 02:17:38,216 - pyskl - INFO - Epoch [30][1600/2353] lr: 2.266e-02, eta: 1 day, 10:37:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9756, loss_cls: 3.1813, loss: 3.1813 +2025-05-01 02:18:22,218 - pyskl - INFO - Epoch [30][1700/2353] lr: 2.266e-02, eta: 1 day, 10:36:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9762, loss_cls: 3.0556, loss: 3.0556 +2025-05-01 02:19:06,315 - pyskl - INFO - Epoch [30][1800/2353] lr: 2.265e-02, eta: 1 day, 10:36:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9781, loss_cls: 3.0248, loss: 3.0248 +2025-05-01 02:19:50,359 - pyskl - INFO - Epoch [30][1900/2353] lr: 2.264e-02, eta: 1 day, 10:35:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9738, loss_cls: 3.0940, loss: 3.0940 +2025-05-01 02:20:34,367 - pyskl - INFO - Epoch [30][2000/2353] lr: 2.264e-02, eta: 1 day, 10:34:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9769, loss_cls: 3.1826, loss: 3.1826 +2025-05-01 02:21:18,459 - pyskl - INFO - Epoch [30][2100/2353] lr: 2.263e-02, eta: 1 day, 10:33:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9788, loss_cls: 3.0516, loss: 3.0516 +2025-05-01 02:22:02,603 - pyskl - INFO - Epoch [30][2200/2353] lr: 2.262e-02, eta: 1 day, 10:33:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9744, loss_cls: 3.0679, loss: 3.0679 +2025-05-01 02:22:46,757 - pyskl - INFO - Epoch [30][2300/2353] lr: 2.262e-02, eta: 1 day, 10:32:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9800, loss_cls: 3.0740, loss: 3.0740 +2025-05-01 02:23:10,884 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-05-01 02:24:40,839 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 02:24:40,915 - pyskl - INFO - +top1_acc 0.8387 +top5_acc 0.9795 +2025-05-01 02:24:40,919 - pyskl - INFO - Epoch(val) [30][1184] top1_acc: 0.8387, top5_acc: 0.9795 +2025-05-01 02:25:45,890 - pyskl - INFO - Epoch [31][100/2353] lr: 2.261e-02, eta: 1 day, 10:31:13, time: 0.650, data_time: 0.210, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9781, loss_cls: 3.0650, loss: 3.0650 +2025-05-01 02:26:29,963 - pyskl - INFO - Epoch [31][200/2353] lr: 2.260e-02, eta: 1 day, 10:30:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9756, loss_cls: 3.1960, loss: 3.1960 +2025-05-01 02:27:14,107 - pyskl - INFO - Epoch [31][300/2353] lr: 2.259e-02, eta: 1 day, 10:29:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9744, loss_cls: 3.0365, loss: 3.0365 +2025-05-01 02:27:58,178 - pyskl - INFO - Epoch [31][400/2353] lr: 2.259e-02, eta: 1 day, 10:29:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9869, loss_cls: 2.9728, loss: 2.9728 +2025-05-01 02:28:42,294 - pyskl - INFO - Epoch [31][500/2353] lr: 2.258e-02, eta: 1 day, 10:28:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9781, loss_cls: 3.0097, loss: 3.0097 +2025-05-01 02:29:26,503 - pyskl - INFO - Epoch [31][600/2353] lr: 2.257e-02, eta: 1 day, 10:27:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9856, loss_cls: 2.9910, loss: 2.9910 +2025-05-01 02:30:10,508 - pyskl - INFO - Epoch [31][700/2353] lr: 2.257e-02, eta: 1 day, 10:26:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9731, loss_cls: 3.2445, loss: 3.2445 +2025-05-01 02:30:54,556 - pyskl - INFO - Epoch [31][800/2353] lr: 2.256e-02, eta: 1 day, 10:26:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9738, loss_cls: 3.1190, loss: 3.1190 +2025-05-01 02:31:38,650 - pyskl - INFO - Epoch [31][900/2353] lr: 2.255e-02, eta: 1 day, 10:25:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9744, loss_cls: 3.1947, loss: 3.1947 +2025-05-01 02:32:22,706 - pyskl - INFO - Epoch [31][1000/2353] lr: 2.255e-02, eta: 1 day, 10:24:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9788, loss_cls: 3.1131, loss: 3.1131 +2025-05-01 02:33:06,656 - pyskl - INFO - Epoch [31][1100/2353] lr: 2.254e-02, eta: 1 day, 10:23:54, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9712, loss_cls: 3.2186, loss: 3.2186 +2025-05-01 02:33:50,703 - pyskl - INFO - Epoch [31][1200/2353] lr: 2.253e-02, eta: 1 day, 10:23:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9750, loss_cls: 3.1268, loss: 3.1268 +2025-05-01 02:34:34,679 - pyskl - INFO - Epoch [31][1300/2353] lr: 2.253e-02, eta: 1 day, 10:22:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9844, loss_cls: 3.1111, loss: 3.1111 +2025-05-01 02:35:18,623 - pyskl - INFO - Epoch [31][1400/2353] lr: 2.252e-02, eta: 1 day, 10:21:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9725, loss_cls: 3.2693, loss: 3.2693 +2025-05-01 02:36:02,619 - pyskl - INFO - Epoch [31][1500/2353] lr: 2.251e-02, eta: 1 day, 10:20:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9725, loss_cls: 3.2681, loss: 3.2681 +2025-05-01 02:36:46,715 - pyskl - INFO - Epoch [31][1600/2353] lr: 2.251e-02, eta: 1 day, 10:20:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9781, loss_cls: 3.1362, loss: 3.1362 +2025-05-01 02:37:30,688 - pyskl - INFO - Epoch [31][1700/2353] lr: 2.250e-02, eta: 1 day, 10:19:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9756, loss_cls: 3.1179, loss: 3.1179 +2025-05-01 02:38:14,634 - pyskl - INFO - Epoch [31][1800/2353] lr: 2.249e-02, eta: 1 day, 10:18:45, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9719, loss_cls: 3.2455, loss: 3.2455 +2025-05-01 02:38:58,779 - pyskl - INFO - Epoch [31][1900/2353] lr: 2.249e-02, eta: 1 day, 10:18:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9800, loss_cls: 3.0800, loss: 3.0800 +2025-05-01 02:39:42,952 - pyskl - INFO - Epoch [31][2000/2353] lr: 2.248e-02, eta: 1 day, 10:17:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9756, loss_cls: 3.0820, loss: 3.0820 +2025-05-01 02:40:27,131 - pyskl - INFO - Epoch [31][2100/2353] lr: 2.247e-02, eta: 1 day, 10:16:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9694, loss_cls: 3.0577, loss: 3.0577 +2025-05-01 02:41:11,257 - pyskl - INFO - Epoch [31][2200/2353] lr: 2.247e-02, eta: 1 day, 10:15:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9794, loss_cls: 3.1721, loss: 3.1721 +2025-05-01 02:41:55,417 - pyskl - INFO - Epoch [31][2300/2353] lr: 2.246e-02, eta: 1 day, 10:15:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9719, loss_cls: 3.2137, loss: 3.2137 +2025-05-01 02:42:19,517 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-05-01 02:43:49,198 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 02:43:49,273 - pyskl - INFO - +top1_acc 0.8389 +top5_acc 0.9846 +2025-05-01 02:43:49,277 - pyskl - INFO - Epoch(val) [31][1184] top1_acc: 0.8389, top5_acc: 0.9846 +2025-05-01 02:44:54,726 - pyskl - INFO - Epoch [32][100/2353] lr: 2.245e-02, eta: 1 day, 10:13:53, time: 0.654, data_time: 0.214, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 2.9967, loss: 2.9967 +2025-05-01 02:45:38,734 - pyskl - INFO - Epoch [32][200/2353] lr: 2.244e-02, eta: 1 day, 10:13:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9838, loss_cls: 3.0269, loss: 3.0269 +2025-05-01 02:46:22,945 - pyskl - INFO - Epoch [32][300/2353] lr: 2.244e-02, eta: 1 day, 10:12:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9831, loss_cls: 3.1172, loss: 3.1172 +2025-05-01 02:47:07,111 - pyskl - INFO - Epoch [32][400/2353] lr: 2.243e-02, eta: 1 day, 10:11:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9862, loss_cls: 2.9331, loss: 2.9331 +2025-05-01 02:47:51,159 - pyskl - INFO - Epoch [32][500/2353] lr: 2.242e-02, eta: 1 day, 10:10:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9738, loss_cls: 3.0731, loss: 3.0731 +2025-05-01 02:48:35,243 - pyskl - INFO - Epoch [32][600/2353] lr: 2.242e-02, eta: 1 day, 10:10:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9775, loss_cls: 3.1133, loss: 3.1133 +2025-05-01 02:49:19,218 - pyskl - INFO - Epoch [32][700/2353] lr: 2.241e-02, eta: 1 day, 10:09:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9712, loss_cls: 3.1311, loss: 3.1311 +2025-05-01 02:50:03,251 - pyskl - INFO - Epoch [32][800/2353] lr: 2.240e-02, eta: 1 day, 10:08:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9756, loss_cls: 3.1773, loss: 3.1773 +2025-05-01 02:50:47,274 - pyskl - INFO - Epoch [32][900/2353] lr: 2.240e-02, eta: 1 day, 10:08:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9806, loss_cls: 3.0719, loss: 3.0719 +2025-05-01 02:51:31,365 - pyskl - INFO - Epoch [32][1000/2353] lr: 2.239e-02, eta: 1 day, 10:07:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9762, loss_cls: 2.9919, loss: 2.9919 +2025-05-01 02:52:15,330 - pyskl - INFO - Epoch [32][1100/2353] lr: 2.238e-02, eta: 1 day, 10:06:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9688, loss_cls: 3.1389, loss: 3.1389 +2025-05-01 02:52:59,359 - pyskl - INFO - Epoch [32][1200/2353] lr: 2.238e-02, eta: 1 day, 10:05:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9769, loss_cls: 3.1041, loss: 3.1041 +2025-05-01 02:53:43,407 - pyskl - INFO - Epoch [32][1300/2353] lr: 2.237e-02, eta: 1 day, 10:05:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9738, loss_cls: 3.1420, loss: 3.1420 +2025-05-01 02:54:27,439 - pyskl - INFO - Epoch [32][1400/2353] lr: 2.236e-02, eta: 1 day, 10:04:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9788, loss_cls: 3.1681, loss: 3.1681 +2025-05-01 02:55:11,406 - pyskl - INFO - Epoch [32][1500/2353] lr: 2.235e-02, eta: 1 day, 10:03:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9775, loss_cls: 3.0364, loss: 3.0364 +2025-05-01 02:55:55,407 - pyskl - INFO - Epoch [32][1600/2353] lr: 2.235e-02, eta: 1 day, 10:02:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9744, loss_cls: 3.1896, loss: 3.1896 +2025-05-01 02:56:39,395 - pyskl - INFO - Epoch [32][1700/2353] lr: 2.234e-02, eta: 1 day, 10:02:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9812, loss_cls: 3.0683, loss: 3.0683 +2025-05-01 02:57:23,402 - pyskl - INFO - Epoch [32][1800/2353] lr: 2.233e-02, eta: 1 day, 10:01:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9731, loss_cls: 3.1272, loss: 3.1272 +2025-05-01 02:58:07,371 - pyskl - INFO - Epoch [32][1900/2353] lr: 2.233e-02, eta: 1 day, 10:00:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9725, loss_cls: 3.0857, loss: 3.0857 +2025-05-01 02:58:51,475 - pyskl - INFO - Epoch [32][2000/2353] lr: 2.232e-02, eta: 1 day, 9:59:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9825, loss_cls: 3.1628, loss: 3.1628 +2025-05-01 02:59:35,535 - pyskl - INFO - Epoch [32][2100/2353] lr: 2.231e-02, eta: 1 day, 9:59:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9781, loss_cls: 3.0529, loss: 3.0529 +2025-05-01 03:00:19,741 - pyskl - INFO - Epoch [32][2200/2353] lr: 2.231e-02, eta: 1 day, 9:58:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9744, loss_cls: 3.1517, loss: 3.1517 +2025-05-01 03:01:03,857 - pyskl - INFO - Epoch [32][2300/2353] lr: 2.230e-02, eta: 1 day, 9:57:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9819, loss_cls: 3.0074, loss: 3.0074 +2025-05-01 03:01:27,941 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-05-01 03:02:58,290 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 03:02:58,365 - pyskl - INFO - +top1_acc 0.8328 +top5_acc 0.9734 +2025-05-01 03:02:58,369 - pyskl - INFO - Epoch(val) [32][1184] top1_acc: 0.8328, top5_acc: 0.9734 +2025-05-01 03:04:03,523 - pyskl - INFO - Epoch [33][100/2353] lr: 2.229e-02, eta: 1 day, 9:56:31, time: 0.651, data_time: 0.211, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9762, loss_cls: 2.9509, loss: 2.9509 +2025-05-01 03:04:47,567 - pyskl - INFO - Epoch [33][200/2353] lr: 2.228e-02, eta: 1 day, 9:55:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9806, loss_cls: 3.0167, loss: 3.0167 +2025-05-01 03:05:31,503 - pyskl - INFO - Epoch [33][300/2353] lr: 2.228e-02, eta: 1 day, 9:55:03, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 3.0588, loss: 3.0588 +2025-05-01 03:06:15,389 - pyskl - INFO - Epoch [33][400/2353] lr: 2.227e-02, eta: 1 day, 9:54:18, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9794, loss_cls: 3.0221, loss: 3.0221 +2025-05-01 03:06:59,228 - pyskl - INFO - Epoch [33][500/2353] lr: 2.226e-02, eta: 1 day, 9:53:33, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9719, loss_cls: 3.0755, loss: 3.0755 +2025-05-01 03:07:43,076 - pyskl - INFO - Epoch [33][600/2353] lr: 2.225e-02, eta: 1 day, 9:52:49, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9731, loss_cls: 3.0675, loss: 3.0675 +2025-05-01 03:08:26,935 - pyskl - INFO - Epoch [33][700/2353] lr: 2.225e-02, eta: 1 day, 9:52:04, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9762, loss_cls: 2.9808, loss: 2.9808 +2025-05-01 03:09:10,855 - pyskl - INFO - Epoch [33][800/2353] lr: 2.224e-02, eta: 1 day, 9:51:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9725, loss_cls: 3.0773, loss: 3.0773 +2025-05-01 03:09:54,963 - pyskl - INFO - Epoch [33][900/2353] lr: 2.223e-02, eta: 1 day, 9:50:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9819, loss_cls: 3.1163, loss: 3.1163 +2025-05-01 03:10:38,898 - pyskl - INFO - Epoch [33][1000/2353] lr: 2.223e-02, eta: 1 day, 9:49:52, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9769, loss_cls: 3.0297, loss: 3.0297 +2025-05-01 03:11:23,011 - pyskl - INFO - Epoch [33][1100/2353] lr: 2.222e-02, eta: 1 day, 9:49:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9819, loss_cls: 2.9662, loss: 2.9662 +2025-05-01 03:12:07,111 - pyskl - INFO - Epoch [33][1200/2353] lr: 2.221e-02, eta: 1 day, 9:48:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9794, loss_cls: 3.0694, loss: 3.0694 +2025-05-01 03:12:51,195 - pyskl - INFO - Epoch [33][1300/2353] lr: 2.221e-02, eta: 1 day, 9:47:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9762, loss_cls: 3.1124, loss: 3.1124 +2025-05-01 03:13:35,154 - pyskl - INFO - Epoch [33][1400/2353] lr: 2.220e-02, eta: 1 day, 9:46:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9738, loss_cls: 3.1683, loss: 3.1683 +2025-05-01 03:14:19,046 - pyskl - INFO - Epoch [33][1500/2353] lr: 2.219e-02, eta: 1 day, 9:46:12, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9738, loss_cls: 3.1137, loss: 3.1137 +2025-05-01 03:15:03,074 - pyskl - INFO - Epoch [33][1600/2353] lr: 2.218e-02, eta: 1 day, 9:45:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9775, loss_cls: 3.0690, loss: 3.0690 +2025-05-01 03:15:47,170 - pyskl - INFO - Epoch [33][1700/2353] lr: 2.218e-02, eta: 1 day, 9:44:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9762, loss_cls: 3.1034, loss: 3.1034 +2025-05-01 03:16:31,147 - pyskl - INFO - Epoch [33][1800/2353] lr: 2.217e-02, eta: 1 day, 9:44:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9788, loss_cls: 3.0381, loss: 3.0381 +2025-05-01 03:17:15,199 - pyskl - INFO - Epoch [33][1900/2353] lr: 2.216e-02, eta: 1 day, 9:43:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9719, loss_cls: 3.1437, loss: 3.1437 +2025-05-01 03:17:59,226 - pyskl - INFO - Epoch [33][2000/2353] lr: 2.216e-02, eta: 1 day, 9:42:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9788, loss_cls: 3.1509, loss: 3.1509 +2025-05-01 03:18:43,295 - pyskl - INFO - Epoch [33][2100/2353] lr: 2.215e-02, eta: 1 day, 9:41:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9744, loss_cls: 3.1332, loss: 3.1332 +2025-05-01 03:19:27,404 - pyskl - INFO - Epoch [33][2200/2353] lr: 2.214e-02, eta: 1 day, 9:41:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9812, loss_cls: 3.0355, loss: 3.0355 +2025-05-01 03:20:11,349 - pyskl - INFO - Epoch [33][2300/2353] lr: 2.214e-02, eta: 1 day, 9:40:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9800, loss_cls: 2.9699, loss: 2.9699 +2025-05-01 03:20:35,276 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-05-01 03:22:04,899 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 03:22:04,974 - pyskl - INFO - +top1_acc 0.8483 +top5_acc 0.9846 +2025-05-01 03:22:04,977 - pyskl - INFO - Epoch(val) [33][1184] top1_acc: 0.8483, top5_acc: 0.9846 +2025-05-01 03:23:10,130 - pyskl - INFO - Epoch [34][100/2353] lr: 2.212e-02, eta: 1 day, 9:39:05, time: 0.651, data_time: 0.212, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9812, loss_cls: 2.9144, loss: 2.9144 +2025-05-01 03:23:54,214 - pyskl - INFO - Epoch [34][200/2353] lr: 2.212e-02, eta: 1 day, 9:38:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 2.9175, loss: 2.9175 +2025-05-01 03:24:38,287 - pyskl - INFO - Epoch [34][300/2353] lr: 2.211e-02, eta: 1 day, 9:37:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9850, loss_cls: 2.9200, loss: 2.9200 +2025-05-01 03:25:22,275 - pyskl - INFO - Epoch [34][400/2353] lr: 2.210e-02, eta: 1 day, 9:36:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9806, loss_cls: 3.0560, loss: 3.0560 +2025-05-01 03:26:06,364 - pyskl - INFO - Epoch [34][500/2353] lr: 2.210e-02, eta: 1 day, 9:36:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9806, loss_cls: 3.1411, loss: 3.1411 +2025-05-01 03:26:50,456 - pyskl - INFO - Epoch [34][600/2353] lr: 2.209e-02, eta: 1 day, 9:35:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9731, loss_cls: 3.0030, loss: 3.0030 +2025-05-01 03:27:34,474 - pyskl - INFO - Epoch [34][700/2353] lr: 2.208e-02, eta: 1 day, 9:34:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9706, loss_cls: 3.1641, loss: 3.1641 +2025-05-01 03:28:18,562 - pyskl - INFO - Epoch [34][800/2353] lr: 2.207e-02, eta: 1 day, 9:33:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9781, loss_cls: 3.0766, loss: 3.0766 +2025-05-01 03:29:02,671 - pyskl - INFO - Epoch [34][900/2353] lr: 2.207e-02, eta: 1 day, 9:33:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9731, loss_cls: 3.1216, loss: 3.1216 +2025-05-01 03:29:46,797 - pyskl - INFO - Epoch [34][1000/2353] lr: 2.206e-02, eta: 1 day, 9:32:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9788, loss_cls: 3.0166, loss: 3.0166 +2025-05-01 03:30:30,914 - pyskl - INFO - Epoch [34][1100/2353] lr: 2.205e-02, eta: 1 day, 9:31:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9750, loss_cls: 3.1649, loss: 3.1649 +2025-05-01 03:31:15,044 - pyskl - INFO - Epoch [34][1200/2353] lr: 2.205e-02, eta: 1 day, 9:31:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9744, loss_cls: 3.1786, loss: 3.1786 +2025-05-01 03:31:59,099 - pyskl - INFO - Epoch [34][1300/2353] lr: 2.204e-02, eta: 1 day, 9:30:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9738, loss_cls: 3.1769, loss: 3.1769 +2025-05-01 03:32:43,209 - pyskl - INFO - Epoch [34][1400/2353] lr: 2.203e-02, eta: 1 day, 9:29:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9762, loss_cls: 3.1724, loss: 3.1724 +2025-05-01 03:33:27,214 - pyskl - INFO - Epoch [34][1500/2353] lr: 2.202e-02, eta: 1 day, 9:28:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9825, loss_cls: 3.0217, loss: 3.0217 +2025-05-01 03:34:11,323 - pyskl - INFO - Epoch [34][1600/2353] lr: 2.202e-02, eta: 1 day, 9:28:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9738, loss_cls: 3.1970, loss: 3.1970 +2025-05-01 03:34:55,426 - pyskl - INFO - Epoch [34][1700/2353] lr: 2.201e-02, eta: 1 day, 9:27:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9781, loss_cls: 2.9969, loss: 2.9969 +2025-05-01 03:35:39,553 - pyskl - INFO - Epoch [34][1800/2353] lr: 2.200e-02, eta: 1 day, 9:26:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9756, loss_cls: 3.1003, loss: 3.1003 +2025-05-01 03:36:23,739 - pyskl - INFO - Epoch [34][1900/2353] lr: 2.200e-02, eta: 1 day, 9:25:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9681, loss_cls: 3.1974, loss: 3.1974 +2025-05-01 03:37:07,986 - pyskl - INFO - Epoch [34][2000/2353] lr: 2.199e-02, eta: 1 day, 9:25:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9788, loss_cls: 3.0947, loss: 3.0947 +2025-05-01 03:37:52,259 - pyskl - INFO - Epoch [34][2100/2353] lr: 2.198e-02, eta: 1 day, 9:24:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9738, loss_cls: 3.1292, loss: 3.1292 +2025-05-01 03:38:36,521 - pyskl - INFO - Epoch [34][2200/2353] lr: 2.197e-02, eta: 1 day, 9:23:47, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9838, loss_cls: 3.0275, loss: 3.0275 +2025-05-01 03:39:20,768 - pyskl - INFO - Epoch [34][2300/2353] lr: 2.197e-02, eta: 1 day, 9:23:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9725, loss_cls: 3.1891, loss: 3.1891 +2025-05-01 03:39:44,820 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-05-01 03:41:14,804 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 03:41:14,879 - pyskl - INFO - +top1_acc 0.8489 +top5_acc 0.9832 +2025-05-01 03:41:14,883 - pyskl - INFO - Epoch(val) [34][1184] top1_acc: 0.8489, top5_acc: 0.9832 +2025-05-01 03:42:19,966 - pyskl - INFO - Epoch [35][100/2353] lr: 2.196e-02, eta: 1 day, 9:21:48, time: 0.651, data_time: 0.210, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9756, loss_cls: 3.0454, loss: 3.0454 +2025-05-01 03:43:03,990 - pyskl - INFO - Epoch [35][200/2353] lr: 2.195e-02, eta: 1 day, 9:21:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9781, loss_cls: 3.0378, loss: 3.0378 +2025-05-01 03:43:48,067 - pyskl - INFO - Epoch [35][300/2353] lr: 2.194e-02, eta: 1 day, 9:20:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9800, loss_cls: 3.1817, loss: 3.1817 +2025-05-01 03:44:32,044 - pyskl - INFO - Epoch [35][400/2353] lr: 2.193e-02, eta: 1 day, 9:19:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9775, loss_cls: 3.0542, loss: 3.0542 +2025-05-01 03:45:16,044 - pyskl - INFO - Epoch [35][500/2353] lr: 2.193e-02, eta: 1 day, 9:18:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9744, loss_cls: 3.0527, loss: 3.0527 +2025-05-01 03:46:00,014 - pyskl - INFO - Epoch [35][600/2353] lr: 2.192e-02, eta: 1 day, 9:18:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9775, loss_cls: 3.0952, loss: 3.0952 +2025-05-01 03:46:44,078 - pyskl - INFO - Epoch [35][700/2353] lr: 2.191e-02, eta: 1 day, 9:17:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9856, loss_cls: 3.0107, loss: 3.0107 +2025-05-01 03:47:28,036 - pyskl - INFO - Epoch [35][800/2353] lr: 2.190e-02, eta: 1 day, 9:16:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9794, loss_cls: 2.9700, loss: 2.9700 +2025-05-01 03:48:12,057 - pyskl - INFO - Epoch [35][900/2353] lr: 2.190e-02, eta: 1 day, 9:15:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9831, loss_cls: 3.0462, loss: 3.0462 +2025-05-01 03:48:56,015 - pyskl - INFO - Epoch [35][1000/2353] lr: 2.189e-02, eta: 1 day, 9:15:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9800, loss_cls: 3.1197, loss: 3.1197 +2025-05-01 03:49:40,050 - pyskl - INFO - Epoch [35][1100/2353] lr: 2.188e-02, eta: 1 day, 9:14:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9800, loss_cls: 3.0320, loss: 3.0320 +2025-05-01 03:50:24,062 - pyskl - INFO - Epoch [35][1200/2353] lr: 2.187e-02, eta: 1 day, 9:13:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9788, loss_cls: 3.0687, loss: 3.0687 +2025-05-01 03:51:08,023 - pyskl - INFO - Epoch [35][1300/2353] lr: 2.187e-02, eta: 1 day, 9:13:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 3.0071, loss: 3.0071 +2025-05-01 03:51:52,060 - pyskl - INFO - Epoch [35][1400/2353] lr: 2.186e-02, eta: 1 day, 9:12:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9731, loss_cls: 3.1829, loss: 3.1829 +2025-05-01 03:52:36,035 - pyskl - INFO - Epoch [35][1500/2353] lr: 2.185e-02, eta: 1 day, 9:11:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9694, loss_cls: 3.1841, loss: 3.1841 +2025-05-01 03:53:20,011 - pyskl - INFO - Epoch [35][1600/2353] lr: 2.185e-02, eta: 1 day, 9:10:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9850, loss_cls: 2.9971, loss: 2.9971 +2025-05-01 03:54:04,039 - pyskl - INFO - Epoch [35][1700/2353] lr: 2.184e-02, eta: 1 day, 9:10:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9831, loss_cls: 3.0098, loss: 3.0098 +2025-05-01 03:54:48,075 - pyskl - INFO - Epoch [35][1800/2353] lr: 2.183e-02, eta: 1 day, 9:09:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9750, loss_cls: 3.0850, loss: 3.0850 +2025-05-01 03:55:32,029 - pyskl - INFO - Epoch [35][1900/2353] lr: 2.182e-02, eta: 1 day, 9:08:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9750, loss_cls: 3.0979, loss: 3.0979 +2025-05-01 03:56:16,076 - pyskl - INFO - Epoch [35][2000/2353] lr: 2.182e-02, eta: 1 day, 9:07:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9744, loss_cls: 3.1184, loss: 3.1184 +2025-05-01 03:57:00,253 - pyskl - INFO - Epoch [35][2100/2353] lr: 2.181e-02, eta: 1 day, 9:07:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9819, loss_cls: 3.1160, loss: 3.1160 +2025-05-01 03:57:44,290 - pyskl - INFO - Epoch [35][2200/2353] lr: 2.180e-02, eta: 1 day, 9:06:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9762, loss_cls: 3.1265, loss: 3.1265 +2025-05-01 03:58:28,283 - pyskl - INFO - Epoch [35][2300/2353] lr: 2.179e-02, eta: 1 day, 9:05:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9738, loss_cls: 3.0484, loss: 3.0484 +2025-05-01 03:58:52,343 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-05-01 04:00:22,219 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 04:00:22,295 - pyskl - INFO - +top1_acc 0.8519 +top5_acc 0.9816 +2025-05-01 04:00:22,299 - pyskl - INFO - Epoch(val) [35][1184] top1_acc: 0.8519, top5_acc: 0.9816 +2025-05-01 04:01:27,587 - pyskl - INFO - Epoch [36][100/2353] lr: 2.178e-02, eta: 1 day, 9:04:25, time: 0.653, data_time: 0.210, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9800, loss_cls: 2.9361, loss: 2.9361 +2025-05-01 04:02:11,870 - pyskl - INFO - Epoch [36][200/2353] lr: 2.177e-02, eta: 1 day, 9:03:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9731, loss_cls: 3.0152, loss: 3.0152 +2025-05-01 04:02:56,085 - pyskl - INFO - Epoch [36][300/2353] lr: 2.177e-02, eta: 1 day, 9:02:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9794, loss_cls: 3.0980, loss: 3.0980 +2025-05-01 04:03:40,266 - pyskl - INFO - Epoch [36][400/2353] lr: 2.176e-02, eta: 1 day, 9:02:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9731, loss_cls: 2.9072, loss: 2.9072 +2025-05-01 04:04:24,347 - pyskl - INFO - Epoch [36][500/2353] lr: 2.175e-02, eta: 1 day, 9:01:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9762, loss_cls: 3.0937, loss: 3.0937 +2025-05-01 04:05:08,420 - pyskl - INFO - Epoch [36][600/2353] lr: 2.174e-02, eta: 1 day, 9:00:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9794, loss_cls: 3.0872, loss: 3.0872 +2025-05-01 04:05:52,495 - pyskl - INFO - Epoch [36][700/2353] lr: 2.174e-02, eta: 1 day, 9:00:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9775, loss_cls: 3.1214, loss: 3.1214 +2025-05-01 04:06:36,630 - pyskl - INFO - Epoch [36][800/2353] lr: 2.173e-02, eta: 1 day, 8:59:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9862, loss_cls: 2.9138, loss: 2.9138 +2025-05-01 04:07:20,770 - pyskl - INFO - Epoch [36][900/2353] lr: 2.172e-02, eta: 1 day, 8:58:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9794, loss_cls: 2.9789, loss: 2.9789 +2025-05-01 04:08:04,909 - pyskl - INFO - Epoch [36][1000/2353] lr: 2.171e-02, eta: 1 day, 8:57:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9844, loss_cls: 2.9794, loss: 2.9794 +2025-05-01 04:08:48,983 - pyskl - INFO - Epoch [36][1100/2353] lr: 2.171e-02, eta: 1 day, 8:57:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9700, loss_cls: 3.1679, loss: 3.1679 +2025-05-01 04:09:33,068 - pyskl - INFO - Epoch [36][1200/2353] lr: 2.170e-02, eta: 1 day, 8:56:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9719, loss_cls: 3.1569, loss: 3.1569 +2025-05-01 04:10:17,218 - pyskl - INFO - Epoch [36][1300/2353] lr: 2.169e-02, eta: 1 day, 8:55:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9800, loss_cls: 3.0104, loss: 3.0104 +2025-05-01 04:11:01,298 - pyskl - INFO - Epoch [36][1400/2353] lr: 2.168e-02, eta: 1 day, 8:54:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9831, loss_cls: 3.0066, loss: 3.0066 +2025-05-01 04:11:45,396 - pyskl - INFO - Epoch [36][1500/2353] lr: 2.168e-02, eta: 1 day, 8:54:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9794, loss_cls: 3.0174, loss: 3.0174 +2025-05-01 04:12:29,468 - pyskl - INFO - Epoch [36][1600/2353] lr: 2.167e-02, eta: 1 day, 8:53:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9806, loss_cls: 2.9535, loss: 2.9535 +2025-05-01 04:13:13,622 - pyskl - INFO - Epoch [36][1700/2353] lr: 2.166e-02, eta: 1 day, 8:52:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9800, loss_cls: 3.0015, loss: 3.0015 +2025-05-01 04:13:57,818 - pyskl - INFO - Epoch [36][1800/2353] lr: 2.165e-02, eta: 1 day, 8:52:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9744, loss_cls: 2.9892, loss: 2.9892 +2025-05-01 04:14:42,003 - pyskl - INFO - Epoch [36][1900/2353] lr: 2.165e-02, eta: 1 day, 8:51:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9794, loss_cls: 3.1213, loss: 3.1213 +2025-05-01 04:15:26,073 - pyskl - INFO - Epoch [36][2000/2353] lr: 2.164e-02, eta: 1 day, 8:50:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9806, loss_cls: 2.9639, loss: 2.9639 +2025-05-01 04:16:10,092 - pyskl - INFO - Epoch [36][2100/2353] lr: 2.163e-02, eta: 1 day, 8:49:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9731, loss_cls: 3.0057, loss: 3.0057 +2025-05-01 04:16:54,188 - pyskl - INFO - Epoch [36][2200/2353] lr: 2.162e-02, eta: 1 day, 8:49:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9806, loss_cls: 3.1254, loss: 3.1254 +2025-05-01 04:17:38,297 - pyskl - INFO - Epoch [36][2300/2353] lr: 2.162e-02, eta: 1 day, 8:48:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9738, loss_cls: 3.0820, loss: 3.0820 +2025-05-01 04:18:02,323 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-05-01 04:19:32,279 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 04:19:32,354 - pyskl - INFO - +top1_acc 0.8569 +top5_acc 0.9825 +2025-05-01 04:19:32,358 - pyskl - INFO - Epoch(val) [36][1184] top1_acc: 0.8569, top5_acc: 0.9825 +2025-05-01 04:20:37,691 - pyskl - INFO - Epoch [37][100/2353] lr: 2.160e-02, eta: 1 day, 8:47:11, time: 0.653, data_time: 0.213, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9800, loss_cls: 3.1535, loss: 3.1535 +2025-05-01 04:21:21,574 - pyskl - INFO - Epoch [37][200/2353] lr: 2.160e-02, eta: 1 day, 8:46:26, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9862, loss_cls: 2.9176, loss: 2.9176 +2025-05-01 04:22:05,459 - pyskl - INFO - Epoch [37][300/2353] lr: 2.159e-02, eta: 1 day, 8:45:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9862, loss_cls: 2.8372, loss: 2.8372 +2025-05-01 04:22:49,425 - pyskl - INFO - Epoch [37][400/2353] lr: 2.158e-02, eta: 1 day, 8:44:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9788, loss_cls: 3.0540, loss: 3.0540 +2025-05-01 04:23:33,426 - pyskl - INFO - Epoch [37][500/2353] lr: 2.157e-02, eta: 1 day, 8:44:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9800, loss_cls: 2.9819, loss: 2.9819 +2025-05-01 04:24:17,535 - pyskl - INFO - Epoch [37][600/2353] lr: 2.157e-02, eta: 1 day, 8:43:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9838, loss_cls: 2.8961, loss: 2.8961 +2025-05-01 04:25:01,549 - pyskl - INFO - Epoch [37][700/2353] lr: 2.156e-02, eta: 1 day, 8:42:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9800, loss_cls: 3.0072, loss: 3.0072 +2025-05-01 04:25:45,483 - pyskl - INFO - Epoch [37][800/2353] lr: 2.155e-02, eta: 1 day, 8:42:01, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9850, loss_cls: 2.9980, loss: 2.9980 +2025-05-01 04:26:29,445 - pyskl - INFO - Epoch [37][900/2353] lr: 2.154e-02, eta: 1 day, 8:41:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9756, loss_cls: 3.1211, loss: 3.1211 +2025-05-01 04:27:13,444 - pyskl - INFO - Epoch [37][1000/2353] lr: 2.154e-02, eta: 1 day, 8:40:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9762, loss_cls: 3.0244, loss: 3.0244 +2025-05-01 04:27:57,460 - pyskl - INFO - Epoch [37][1100/2353] lr: 2.153e-02, eta: 1 day, 8:39:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9750, loss_cls: 3.0989, loss: 3.0989 +2025-05-01 04:28:41,510 - pyskl - INFO - Epoch [37][1200/2353] lr: 2.152e-02, eta: 1 day, 8:39:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9756, loss_cls: 2.9797, loss: 2.9797 +2025-05-01 04:29:25,428 - pyskl - INFO - Epoch [37][1300/2353] lr: 2.151e-02, eta: 1 day, 8:38:21, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9788, loss_cls: 3.1739, loss: 3.1739 +2025-05-01 04:30:09,382 - pyskl - INFO - Epoch [37][1400/2353] lr: 2.150e-02, eta: 1 day, 8:37:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9781, loss_cls: 2.9842, loss: 2.9842 +2025-05-01 04:30:53,358 - pyskl - INFO - Epoch [37][1500/2353] lr: 2.150e-02, eta: 1 day, 8:36:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9725, loss_cls: 3.0852, loss: 3.0852 +2025-05-01 04:31:37,590 - pyskl - INFO - Epoch [37][1600/2353] lr: 2.149e-02, eta: 1 day, 8:36:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9719, loss_cls: 3.0967, loss: 3.0967 +2025-05-01 04:32:21,723 - pyskl - INFO - Epoch [37][1700/2353] lr: 2.148e-02, eta: 1 day, 8:35:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9769, loss_cls: 3.0642, loss: 3.0642 +2025-05-01 04:33:05,879 - pyskl - INFO - Epoch [37][1800/2353] lr: 2.147e-02, eta: 1 day, 8:34:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9794, loss_cls: 3.0604, loss: 3.0604 +2025-05-01 04:33:49,871 - pyskl - INFO - Epoch [37][1900/2353] lr: 2.147e-02, eta: 1 day, 8:33:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9775, loss_cls: 3.0648, loss: 3.0648 +2025-05-01 04:34:33,945 - pyskl - INFO - Epoch [37][2000/2353] lr: 2.146e-02, eta: 1 day, 8:33:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9775, loss_cls: 3.0998, loss: 3.0998 +2025-05-01 04:35:17,881 - pyskl - INFO - Epoch [37][2100/2353] lr: 2.145e-02, eta: 1 day, 8:32:30, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9788, loss_cls: 3.0061, loss: 3.0061 +2025-05-01 04:36:01,924 - pyskl - INFO - Epoch [37][2200/2353] lr: 2.144e-02, eta: 1 day, 8:31:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9738, loss_cls: 3.1922, loss: 3.1922 +2025-05-01 04:36:45,932 - pyskl - INFO - Epoch [37][2300/2353] lr: 2.144e-02, eta: 1 day, 8:31:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9781, loss_cls: 3.0004, loss: 3.0004 +2025-05-01 04:37:09,959 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-05-01 04:38:39,567 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 04:38:39,643 - pyskl - INFO - +top1_acc 0.8631 +top5_acc 0.9863 +2025-05-01 04:38:39,704 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_21.pth was removed +2025-05-01 04:38:40,816 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_37.pth. +2025-05-01 04:38:40,817 - pyskl - INFO - Best top1_acc is 0.8631 at 37 epoch. +2025-05-01 04:38:40,820 - pyskl - INFO - Epoch(val) [37][1184] top1_acc: 0.8631, top5_acc: 0.9863 +2025-05-01 04:39:46,038 - pyskl - INFO - Epoch [38][100/2353] lr: 2.142e-02, eta: 1 day, 8:29:48, time: 0.652, data_time: 0.211, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9850, loss_cls: 2.8867, loss: 2.8867 +2025-05-01 04:40:30,134 - pyskl - INFO - Epoch [38][200/2353] lr: 2.142e-02, eta: 1 day, 8:29:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9850, loss_cls: 2.9712, loss: 2.9712 +2025-05-01 04:41:14,028 - pyskl - INFO - Epoch [38][300/2353] lr: 2.141e-02, eta: 1 day, 8:28:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9838, loss_cls: 2.9782, loss: 2.9782 +2025-05-01 04:41:57,980 - pyskl - INFO - Epoch [38][400/2353] lr: 2.140e-02, eta: 1 day, 8:27:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 2.9641, loss: 2.9641 +2025-05-01 04:42:42,089 - pyskl - INFO - Epoch [38][500/2353] lr: 2.139e-02, eta: 1 day, 8:26:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9756, loss_cls: 3.0957, loss: 3.0957 +2025-05-01 04:43:26,239 - pyskl - INFO - Epoch [38][600/2353] lr: 2.138e-02, eta: 1 day, 8:26:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 2.9372, loss: 2.9372 +2025-05-01 04:44:10,364 - pyskl - INFO - Epoch [38][700/2353] lr: 2.138e-02, eta: 1 day, 8:25:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9812, loss_cls: 3.0129, loss: 3.0129 +2025-05-01 04:44:54,327 - pyskl - INFO - Epoch [38][800/2353] lr: 2.137e-02, eta: 1 day, 8:24:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9775, loss_cls: 2.9637, loss: 2.9637 +2025-05-01 04:45:38,409 - pyskl - INFO - Epoch [38][900/2353] lr: 2.136e-02, eta: 1 day, 8:23:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9762, loss_cls: 2.9800, loss: 2.9800 +2025-05-01 04:46:22,486 - pyskl - INFO - Epoch [38][1000/2353] lr: 2.135e-02, eta: 1 day, 8:23:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9788, loss_cls: 3.0297, loss: 3.0297 +2025-05-01 04:47:06,520 - pyskl - INFO - Epoch [38][1100/2353] lr: 2.134e-02, eta: 1 day, 8:22:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9775, loss_cls: 3.1541, loss: 3.1541 +2025-05-01 04:47:50,500 - pyskl - INFO - Epoch [38][1200/2353] lr: 2.134e-02, eta: 1 day, 8:21:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9806, loss_cls: 3.0123, loss: 3.0123 +2025-05-01 04:48:34,268 - pyskl - INFO - Epoch [38][1300/2353] lr: 2.133e-02, eta: 1 day, 8:21:00, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9762, loss_cls: 3.0727, loss: 3.0727 +2025-05-01 04:49:18,280 - pyskl - INFO - Epoch [38][1400/2353] lr: 2.132e-02, eta: 1 day, 8:20:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9831, loss_cls: 2.9823, loss: 2.9823 +2025-05-01 04:50:02,084 - pyskl - INFO - Epoch [38][1500/2353] lr: 2.131e-02, eta: 1 day, 8:19:31, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9856, loss_cls: 2.8568, loss: 2.8568 +2025-05-01 04:50:45,706 - pyskl - INFO - Epoch [38][1600/2353] lr: 2.131e-02, eta: 1 day, 8:18:46, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9756, loss_cls: 2.9806, loss: 2.9806 +2025-05-01 04:51:29,747 - pyskl - INFO - Epoch [38][1700/2353] lr: 2.130e-02, eta: 1 day, 8:18:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9750, loss_cls: 3.0919, loss: 3.0919 +2025-05-01 04:52:13,912 - pyskl - INFO - Epoch [38][1800/2353] lr: 2.129e-02, eta: 1 day, 8:17:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9694, loss_cls: 3.1457, loss: 3.1457 +2025-05-01 04:52:58,155 - pyskl - INFO - Epoch [38][1900/2353] lr: 2.128e-02, eta: 1 day, 8:16:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9800, loss_cls: 3.0002, loss: 3.0002 +2025-05-01 04:53:42,350 - pyskl - INFO - Epoch [38][2000/2353] lr: 2.127e-02, eta: 1 day, 8:15:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9725, loss_cls: 3.0672, loss: 3.0672 +2025-05-01 04:54:26,493 - pyskl - INFO - Epoch [38][2100/2353] lr: 2.127e-02, eta: 1 day, 8:15:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9844, loss_cls: 2.9160, loss: 2.9160 +2025-05-01 04:55:10,524 - pyskl - INFO - Epoch [38][2200/2353] lr: 2.126e-02, eta: 1 day, 8:14:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9788, loss_cls: 2.9346, loss: 2.9346 +2025-05-01 04:55:54,556 - pyskl - INFO - Epoch [38][2300/2353] lr: 2.125e-02, eta: 1 day, 8:13:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9812, loss_cls: 3.0604, loss: 3.0604 +2025-05-01 04:56:18,617 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-05-01 04:57:48,654 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 04:57:48,730 - pyskl - INFO - +top1_acc 0.8155 +top5_acc 0.9697 +2025-05-01 04:57:48,735 - pyskl - INFO - Epoch(val) [38][1184] top1_acc: 0.8155, top5_acc: 0.9697 +2025-05-01 04:58:54,076 - pyskl - INFO - Epoch [39][100/2353] lr: 2.124e-02, eta: 1 day, 8:12:27, time: 0.653, data_time: 0.211, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 2.9261, loss: 2.9261 +2025-05-01 04:59:38,136 - pyskl - INFO - Epoch [39][200/2353] lr: 2.123e-02, eta: 1 day, 8:11:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9812, loss_cls: 2.9697, loss: 2.9697 +2025-05-01 05:00:22,199 - pyskl - INFO - Epoch [39][300/2353] lr: 2.122e-02, eta: 1 day, 8:10:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9819, loss_cls: 2.8537, loss: 2.8537 +2025-05-01 05:01:06,191 - pyskl - INFO - Epoch [39][400/2353] lr: 2.121e-02, eta: 1 day, 8:10:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9744, loss_cls: 3.0350, loss: 3.0350 +2025-05-01 05:01:50,151 - pyskl - INFO - Epoch [39][500/2353] lr: 2.121e-02, eta: 1 day, 8:09:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9762, loss_cls: 2.9579, loss: 2.9579 +2025-05-01 05:02:34,125 - pyskl - INFO - Epoch [39][600/2353] lr: 2.120e-02, eta: 1 day, 8:08:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9781, loss_cls: 3.0769, loss: 3.0769 +2025-05-01 05:03:18,101 - pyskl - INFO - Epoch [39][700/2353] lr: 2.119e-02, eta: 1 day, 8:08:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9806, loss_cls: 2.9235, loss: 2.9235 +2025-05-01 05:04:02,074 - pyskl - INFO - Epoch [39][800/2353] lr: 2.118e-02, eta: 1 day, 8:07:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9744, loss_cls: 2.9206, loss: 2.9206 +2025-05-01 05:04:46,050 - pyskl - INFO - Epoch [39][900/2353] lr: 2.117e-02, eta: 1 day, 8:06:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9719, loss_cls: 2.9378, loss: 2.9378 +2025-05-01 05:05:29,970 - pyskl - INFO - Epoch [39][1000/2353] lr: 2.117e-02, eta: 1 day, 8:05:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9806, loss_cls: 2.9045, loss: 2.9045 +2025-05-01 05:06:13,959 - pyskl - INFO - Epoch [39][1100/2353] lr: 2.116e-02, eta: 1 day, 8:05:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9831, loss_cls: 2.9666, loss: 2.9666 +2025-05-01 05:06:57,914 - pyskl - INFO - Epoch [39][1200/2353] lr: 2.115e-02, eta: 1 day, 8:04:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9762, loss_cls: 3.0993, loss: 3.0993 +2025-05-01 05:07:41,894 - pyskl - INFO - Epoch [39][1300/2353] lr: 2.114e-02, eta: 1 day, 8:03:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 3.0032, loss: 3.0032 +2025-05-01 05:08:26,062 - pyskl - INFO - Epoch [39][1400/2353] lr: 2.113e-02, eta: 1 day, 8:02:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9794, loss_cls: 3.0258, loss: 3.0258 +2025-05-01 05:09:10,060 - pyskl - INFO - Epoch [39][1500/2353] lr: 2.113e-02, eta: 1 day, 8:02:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9731, loss_cls: 3.1293, loss: 3.1293 +2025-05-01 05:09:54,184 - pyskl - INFO - Epoch [39][1600/2353] lr: 2.112e-02, eta: 1 day, 8:01:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9812, loss_cls: 2.9244, loss: 2.9244 +2025-05-01 05:10:38,239 - pyskl - INFO - Epoch [39][1700/2353] lr: 2.111e-02, eta: 1 day, 8:00:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9738, loss_cls: 3.0465, loss: 3.0465 +2025-05-01 05:11:22,251 - pyskl - INFO - Epoch [39][1800/2353] lr: 2.110e-02, eta: 1 day, 7:59:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9794, loss_cls: 2.9400, loss: 2.9400 +2025-05-01 05:12:06,249 - pyskl - INFO - Epoch [39][1900/2353] lr: 2.109e-02, eta: 1 day, 7:59:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9769, loss_cls: 3.0166, loss: 3.0166 +2025-05-01 05:12:50,261 - pyskl - INFO - Epoch [39][2000/2353] lr: 2.109e-02, eta: 1 day, 7:58:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9838, loss_cls: 3.0035, loss: 3.0035 +2025-05-01 05:13:34,235 - pyskl - INFO - Epoch [39][2100/2353] lr: 2.108e-02, eta: 1 day, 7:57:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9775, loss_cls: 2.9722, loss: 2.9722 +2025-05-01 05:14:18,279 - pyskl - INFO - Epoch [39][2200/2353] lr: 2.107e-02, eta: 1 day, 7:57:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9806, loss_cls: 2.9751, loss: 2.9751 +2025-05-01 05:15:02,387 - pyskl - INFO - Epoch [39][2300/2353] lr: 2.106e-02, eta: 1 day, 7:56:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9788, loss_cls: 3.0839, loss: 3.0839 +2025-05-01 05:15:26,356 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-05-01 05:16:57,216 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 05:16:57,293 - pyskl - INFO - +top1_acc 0.8281 +top5_acc 0.9820 +2025-05-01 05:16:57,296 - pyskl - INFO - Epoch(val) [39][1184] top1_acc: 0.8281, top5_acc: 0.9820 +2025-05-01 05:18:02,410 - pyskl - INFO - Epoch [40][100/2353] lr: 2.105e-02, eta: 1 day, 7:55:05, time: 0.651, data_time: 0.212, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 2.7872, loss: 2.7872 +2025-05-01 05:18:46,299 - pyskl - INFO - Epoch [40][200/2353] lr: 2.104e-02, eta: 1 day, 7:54:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9794, loss_cls: 2.8663, loss: 2.8663 +2025-05-01 05:19:30,287 - pyskl - INFO - Epoch [40][300/2353] lr: 2.103e-02, eta: 1 day, 7:53:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9756, loss_cls: 3.0387, loss: 3.0387 +2025-05-01 05:20:14,249 - pyskl - INFO - Epoch [40][400/2353] lr: 2.102e-02, eta: 1 day, 7:52:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9800, loss_cls: 2.9633, loss: 2.9633 +2025-05-01 05:20:58,262 - pyskl - INFO - Epoch [40][500/2353] lr: 2.102e-02, eta: 1 day, 7:52:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9781, loss_cls: 2.9302, loss: 2.9302 +2025-05-01 05:21:42,515 - pyskl - INFO - Epoch [40][600/2353] lr: 2.101e-02, eta: 1 day, 7:51:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9862, loss_cls: 2.9697, loss: 2.9697 +2025-05-01 05:22:26,476 - pyskl - INFO - Epoch [40][700/2353] lr: 2.100e-02, eta: 1 day, 7:50:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9788, loss_cls: 3.0213, loss: 3.0213 +2025-05-01 05:23:10,379 - pyskl - INFO - Epoch [40][800/2353] lr: 2.099e-02, eta: 1 day, 7:49:56, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9850, loss_cls: 2.9800, loss: 2.9800 +2025-05-01 05:23:54,279 - pyskl - INFO - Epoch [40][900/2353] lr: 2.098e-02, eta: 1 day, 7:49:12, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9856, loss_cls: 2.8799, loss: 2.8799 +2025-05-01 05:24:38,254 - pyskl - INFO - Epoch [40][1000/2353] lr: 2.098e-02, eta: 1 day, 7:48:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9781, loss_cls: 3.0112, loss: 3.0112 +2025-05-01 05:25:22,168 - pyskl - INFO - Epoch [40][1100/2353] lr: 2.097e-02, eta: 1 day, 7:47:44, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9844, loss_cls: 2.8853, loss: 2.8853 +2025-05-01 05:26:06,138 - pyskl - INFO - Epoch [40][1200/2353] lr: 2.096e-02, eta: 1 day, 7:46:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 2.9546, loss: 2.9546 +2025-05-01 05:26:50,372 - pyskl - INFO - Epoch [40][1300/2353] lr: 2.095e-02, eta: 1 day, 7:46:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9706, loss_cls: 3.0919, loss: 3.0919 +2025-05-01 05:27:34,515 - pyskl - INFO - Epoch [40][1400/2353] lr: 2.094e-02, eta: 1 day, 7:45:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9825, loss_cls: 2.9598, loss: 2.9598 +2025-05-01 05:28:18,636 - pyskl - INFO - Epoch [40][1500/2353] lr: 2.093e-02, eta: 1 day, 7:44:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9800, loss_cls: 3.0419, loss: 3.0419 +2025-05-01 05:29:02,554 - pyskl - INFO - Epoch [40][1600/2353] lr: 2.093e-02, eta: 1 day, 7:44:04, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9788, loss_cls: 3.0880, loss: 3.0880 +2025-05-01 05:29:46,699 - pyskl - INFO - Epoch [40][1700/2353] lr: 2.092e-02, eta: 1 day, 7:43:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9825, loss_cls: 3.0458, loss: 3.0458 +2025-05-01 05:30:30,698 - pyskl - INFO - Epoch [40][1800/2353] lr: 2.091e-02, eta: 1 day, 7:42:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9844, loss_cls: 2.9795, loss: 2.9795 +2025-05-01 05:31:14,730 - pyskl - INFO - Epoch [40][1900/2353] lr: 2.090e-02, eta: 1 day, 7:41:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9731, loss_cls: 3.0229, loss: 3.0229 +2025-05-01 05:31:58,718 - pyskl - INFO - Epoch [40][2000/2353] lr: 2.089e-02, eta: 1 day, 7:41:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9788, loss_cls: 2.9630, loss: 2.9630 +2025-05-01 05:32:42,650 - pyskl - INFO - Epoch [40][2100/2353] lr: 2.089e-02, eta: 1 day, 7:40:25, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9756, loss_cls: 3.1226, loss: 3.1226 +2025-05-01 05:33:26,547 - pyskl - INFO - Epoch [40][2200/2353] lr: 2.088e-02, eta: 1 day, 7:39:40, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9769, loss_cls: 3.0938, loss: 3.0938 +2025-05-01 05:34:10,487 - pyskl - INFO - Epoch [40][2300/2353] lr: 2.087e-02, eta: 1 day, 7:38:56, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9738, loss_cls: 2.9376, loss: 2.9376 +2025-05-01 05:34:34,452 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-05-01 05:36:03,976 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 05:36:04,052 - pyskl - INFO - +top1_acc 0.8583 +top5_acc 0.9877 +2025-05-01 05:36:04,055 - pyskl - INFO - Epoch(val) [40][1184] top1_acc: 0.8583, top5_acc: 0.9877 +2025-05-01 05:37:09,241 - pyskl - INFO - Epoch [41][100/2353] lr: 2.086e-02, eta: 1 day, 7:37:43, time: 0.652, data_time: 0.213, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 2.9375, loss: 2.9375 +2025-05-01 05:37:53,182 - pyskl - INFO - Epoch [41][200/2353] lr: 2.085e-02, eta: 1 day, 7:36:59, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9856, loss_cls: 2.9169, loss: 2.9169 +2025-05-01 05:38:37,194 - pyskl - INFO - Epoch [41][300/2353] lr: 2.084e-02, eta: 1 day, 7:36:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9812, loss_cls: 3.0117, loss: 3.0117 +2025-05-01 05:39:21,243 - pyskl - INFO - Epoch [41][400/2353] lr: 2.083e-02, eta: 1 day, 7:35:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9850, loss_cls: 2.9566, loss: 2.9566 +2025-05-01 05:40:05,305 - pyskl - INFO - Epoch [41][500/2353] lr: 2.082e-02, eta: 1 day, 7:34:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9781, loss_cls: 2.9681, loss: 2.9681 +2025-05-01 05:40:49,361 - pyskl - INFO - Epoch [41][600/2353] lr: 2.081e-02, eta: 1 day, 7:34:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9769, loss_cls: 2.9945, loss: 2.9945 +2025-05-01 05:41:33,375 - pyskl - INFO - Epoch [41][700/2353] lr: 2.081e-02, eta: 1 day, 7:33:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9812, loss_cls: 2.9715, loss: 2.9715 +2025-05-01 05:42:17,439 - pyskl - INFO - Epoch [41][800/2353] lr: 2.080e-02, eta: 1 day, 7:32:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9838, loss_cls: 2.9237, loss: 2.9237 +2025-05-01 05:43:01,519 - pyskl - INFO - Epoch [41][900/2353] lr: 2.079e-02, eta: 1 day, 7:31:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9912, loss_cls: 2.8131, loss: 2.8131 +2025-05-01 05:43:45,589 - pyskl - INFO - Epoch [41][1000/2353] lr: 2.078e-02, eta: 1 day, 7:31:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9781, loss_cls: 2.9367, loss: 2.9367 +2025-05-01 05:44:29,599 - pyskl - INFO - Epoch [41][1100/2353] lr: 2.077e-02, eta: 1 day, 7:30:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9781, loss_cls: 2.9659, loss: 2.9659 +2025-05-01 05:45:13,589 - pyskl - INFO - Epoch [41][1200/2353] lr: 2.076e-02, eta: 1 day, 7:29:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9838, loss_cls: 2.7436, loss: 2.7436 +2025-05-01 05:45:57,650 - pyskl - INFO - Epoch [41][1300/2353] lr: 2.076e-02, eta: 1 day, 7:28:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9762, loss_cls: 2.8962, loss: 2.8962 +2025-05-01 05:46:41,747 - pyskl - INFO - Epoch [41][1400/2353] lr: 2.075e-02, eta: 1 day, 7:28:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9775, loss_cls: 2.9473, loss: 2.9473 +2025-05-01 05:47:25,875 - pyskl - INFO - Epoch [41][1500/2353] lr: 2.074e-02, eta: 1 day, 7:27:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9794, loss_cls: 3.0040, loss: 3.0040 +2025-05-01 05:48:09,990 - pyskl - INFO - Epoch [41][1600/2353] lr: 2.073e-02, eta: 1 day, 7:26:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9738, loss_cls: 3.0254, loss: 3.0254 +2025-05-01 05:48:54,109 - pyskl - INFO - Epoch [41][1700/2353] lr: 2.072e-02, eta: 1 day, 7:26:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9800, loss_cls: 3.0380, loss: 3.0380 +2025-05-01 05:49:38,109 - pyskl - INFO - Epoch [41][1800/2353] lr: 2.071e-02, eta: 1 day, 7:25:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9812, loss_cls: 2.9857, loss: 2.9857 +2025-05-01 05:50:22,327 - pyskl - INFO - Epoch [41][1900/2353] lr: 2.071e-02, eta: 1 day, 7:24:33, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9756, loss_cls: 2.9824, loss: 2.9824 +2025-05-01 05:51:06,582 - pyskl - INFO - Epoch [41][2000/2353] lr: 2.070e-02, eta: 1 day, 7:23:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9850, loss_cls: 2.8827, loss: 2.8827 +2025-05-01 05:51:50,751 - pyskl - INFO - Epoch [41][2100/2353] lr: 2.069e-02, eta: 1 day, 7:23:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 2.9725, loss: 2.9725 +2025-05-01 05:52:35,051 - pyskl - INFO - Epoch [41][2200/2353] lr: 2.068e-02, eta: 1 day, 7:22:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9719, loss_cls: 3.0439, loss: 3.0439 +2025-05-01 05:53:19,143 - pyskl - INFO - Epoch [41][2300/2353] lr: 2.067e-02, eta: 1 day, 7:21:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9694, loss_cls: 3.0165, loss: 3.0165 +2025-05-01 05:53:43,195 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-05-01 05:55:13,370 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 05:55:13,446 - pyskl - INFO - +top1_acc 0.8638 +top5_acc 0.9845 +2025-05-01 05:55:13,511 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_37.pth was removed +2025-05-01 05:55:14,666 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. +2025-05-01 05:55:14,667 - pyskl - INFO - Best top1_acc is 0.8638 at 41 epoch. +2025-05-01 05:55:14,671 - pyskl - INFO - Epoch(val) [41][1184] top1_acc: 0.8638, top5_acc: 0.9845 +2025-05-01 05:56:19,741 - pyskl - INFO - Epoch [42][100/2353] lr: 2.066e-02, eta: 1 day, 7:20:26, time: 0.651, data_time: 0.210, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 2.7883, loss: 2.7883 +2025-05-01 05:57:03,872 - pyskl - INFO - Epoch [42][200/2353] lr: 2.065e-02, eta: 1 day, 7:19:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9769, loss_cls: 2.9692, loss: 2.9692 +2025-05-01 05:57:48,018 - pyskl - INFO - Epoch [42][300/2353] lr: 2.064e-02, eta: 1 day, 7:18:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9800, loss_cls: 2.7973, loss: 2.7973 +2025-05-01 05:58:32,109 - pyskl - INFO - Epoch [42][400/2353] lr: 2.063e-02, eta: 1 day, 7:18:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9812, loss_cls: 3.0104, loss: 3.0104 +2025-05-01 05:59:16,236 - pyskl - INFO - Epoch [42][500/2353] lr: 2.063e-02, eta: 1 day, 7:17:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9775, loss_cls: 2.8852, loss: 2.8852 +2025-05-01 06:00:00,263 - pyskl - INFO - Epoch [42][600/2353] lr: 2.062e-02, eta: 1 day, 7:16:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9838, loss_cls: 3.0437, loss: 3.0437 +2025-05-01 06:00:44,359 - pyskl - INFO - Epoch [42][700/2353] lr: 2.061e-02, eta: 1 day, 7:16:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9894, loss_cls: 2.8766, loss: 2.8766 +2025-05-01 06:01:28,447 - pyskl - INFO - Epoch [42][800/2353] lr: 2.060e-02, eta: 1 day, 7:15:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9788, loss_cls: 2.9835, loss: 2.9835 +2025-05-01 06:02:12,581 - pyskl - INFO - Epoch [42][900/2353] lr: 2.059e-02, eta: 1 day, 7:14:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9788, loss_cls: 2.9386, loss: 2.9386 +2025-05-01 06:02:56,522 - pyskl - INFO - Epoch [42][1000/2353] lr: 2.058e-02, eta: 1 day, 7:13:51, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9838, loss_cls: 2.9556, loss: 2.9556 +2025-05-01 06:03:40,646 - pyskl - INFO - Epoch [42][1100/2353] lr: 2.057e-02, eta: 1 day, 7:13:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9762, loss_cls: 2.9979, loss: 2.9979 +2025-05-01 06:04:24,847 - pyskl - INFO - Epoch [42][1200/2353] lr: 2.057e-02, eta: 1 day, 7:12:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 2.9035, loss: 2.9035 +2025-05-01 06:05:09,143 - pyskl - INFO - Epoch [42][1300/2353] lr: 2.056e-02, eta: 1 day, 7:11:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9775, loss_cls: 3.1084, loss: 3.1084 +2025-05-01 06:05:53,382 - pyskl - INFO - Epoch [42][1400/2353] lr: 2.055e-02, eta: 1 day, 7:10:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9756, loss_cls: 3.2000, loss: 3.2000 +2025-05-01 06:06:37,603 - pyskl - INFO - Epoch [42][1500/2353] lr: 2.054e-02, eta: 1 day, 7:10:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9806, loss_cls: 3.0356, loss: 3.0356 +2025-05-01 06:07:21,788 - pyskl - INFO - Epoch [42][1600/2353] lr: 2.053e-02, eta: 1 day, 7:09:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9756, loss_cls: 2.9219, loss: 2.9219 +2025-05-01 06:08:05,832 - pyskl - INFO - Epoch [42][1700/2353] lr: 2.052e-02, eta: 1 day, 7:08:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9800, loss_cls: 2.9177, loss: 2.9177 +2025-05-01 06:08:49,971 - pyskl - INFO - Epoch [42][1800/2353] lr: 2.052e-02, eta: 1 day, 7:08:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 3.0200, loss: 3.0200 +2025-05-01 06:09:34,208 - pyskl - INFO - Epoch [42][1900/2353] lr: 2.051e-02, eta: 1 day, 7:07:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9862, loss_cls: 2.8665, loss: 2.8665 +2025-05-01 06:10:18,268 - pyskl - INFO - Epoch [42][2000/2353] lr: 2.050e-02, eta: 1 day, 7:06:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9756, loss_cls: 2.9701, loss: 2.9701 +2025-05-01 06:11:02,397 - pyskl - INFO - Epoch [42][2100/2353] lr: 2.049e-02, eta: 1 day, 7:05:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9812, loss_cls: 3.0099, loss: 3.0099 +2025-05-01 06:11:46,541 - pyskl - INFO - Epoch [42][2200/2353] lr: 2.048e-02, eta: 1 day, 7:05:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9800, loss_cls: 2.9891, loss: 2.9891 +2025-05-01 06:12:30,609 - pyskl - INFO - Epoch [42][2300/2353] lr: 2.047e-02, eta: 1 day, 7:04:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 2.7994, loss: 2.7994 +2025-05-01 06:12:54,687 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-05-01 06:14:24,750 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 06:14:24,826 - pyskl - INFO - +top1_acc 0.8482 +top5_acc 0.9827 +2025-05-01 06:14:24,829 - pyskl - INFO - Epoch(val) [42][1184] top1_acc: 0.8482, top5_acc: 0.9827 +2025-05-01 06:15:30,059 - pyskl - INFO - Epoch [43][100/2353] lr: 2.046e-02, eta: 1 day, 7:03:12, time: 0.652, data_time: 0.213, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9812, loss_cls: 2.8751, loss: 2.8751 +2025-05-01 06:16:13,969 - pyskl - INFO - Epoch [43][200/2353] lr: 2.045e-02, eta: 1 day, 7:02:27, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9806, loss_cls: 3.0128, loss: 3.0128 +2025-05-01 06:16:57,945 - pyskl - INFO - Epoch [43][300/2353] lr: 2.044e-02, eta: 1 day, 7:01:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9838, loss_cls: 2.8997, loss: 2.8997 +2025-05-01 06:17:41,829 - pyskl - INFO - Epoch [43][400/2353] lr: 2.043e-02, eta: 1 day, 7:00:59, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 2.9771, loss: 2.9771 +2025-05-01 06:18:25,902 - pyskl - INFO - Epoch [43][500/2353] lr: 2.042e-02, eta: 1 day, 7:00:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9819, loss_cls: 2.9416, loss: 2.9416 +2025-05-01 06:19:09,973 - pyskl - INFO - Epoch [43][600/2353] lr: 2.042e-02, eta: 1 day, 6:59:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 2.8301, loss: 2.8301 +2025-05-01 06:19:54,045 - pyskl - INFO - Epoch [43][700/2353] lr: 2.041e-02, eta: 1 day, 6:58:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9850, loss_cls: 2.8630, loss: 2.8630 +2025-05-01 06:20:38,069 - pyskl - INFO - Epoch [43][800/2353] lr: 2.040e-02, eta: 1 day, 6:58:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9825, loss_cls: 2.9713, loss: 2.9713 +2025-05-01 06:21:22,073 - pyskl - INFO - Epoch [43][900/2353] lr: 2.039e-02, eta: 1 day, 6:57:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9825, loss_cls: 2.9573, loss: 2.9573 +2025-05-01 06:22:06,065 - pyskl - INFO - Epoch [43][1000/2353] lr: 2.038e-02, eta: 1 day, 6:56:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9812, loss_cls: 2.9476, loss: 2.9476 +2025-05-01 06:22:50,145 - pyskl - INFO - Epoch [43][1100/2353] lr: 2.037e-02, eta: 1 day, 6:55:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9844, loss_cls: 2.8641, loss: 2.8641 +2025-05-01 06:23:34,142 - pyskl - INFO - Epoch [43][1200/2353] lr: 2.036e-02, eta: 1 day, 6:55:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9812, loss_cls: 3.0481, loss: 3.0481 +2025-05-01 06:24:18,307 - pyskl - INFO - Epoch [43][1300/2353] lr: 2.036e-02, eta: 1 day, 6:54:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9762, loss_cls: 2.9556, loss: 2.9556 +2025-05-01 06:25:02,353 - pyskl - INFO - Epoch [43][1400/2353] lr: 2.035e-02, eta: 1 day, 6:53:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 2.9160, loss: 2.9160 +2025-05-01 06:25:46,294 - pyskl - INFO - Epoch [43][1500/2353] lr: 2.034e-02, eta: 1 day, 6:52:56, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9812, loss_cls: 2.8780, loss: 2.8780 +2025-05-01 06:26:30,378 - pyskl - INFO - Epoch [43][1600/2353] lr: 2.033e-02, eta: 1 day, 6:52:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9769, loss_cls: 3.1298, loss: 3.1298 +2025-05-01 06:27:14,478 - pyskl - INFO - Epoch [43][1700/2353] lr: 2.032e-02, eta: 1 day, 6:51:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9850, loss_cls: 2.8348, loss: 2.8348 +2025-05-01 06:27:58,518 - pyskl - INFO - Epoch [43][1800/2353] lr: 2.031e-02, eta: 1 day, 6:50:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9788, loss_cls: 3.0259, loss: 3.0259 +2025-05-01 06:28:42,511 - pyskl - INFO - Epoch [43][1900/2353] lr: 2.030e-02, eta: 1 day, 6:50:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9775, loss_cls: 2.9439, loss: 2.9439 +2025-05-01 06:29:26,390 - pyskl - INFO - Epoch [43][2000/2353] lr: 2.030e-02, eta: 1 day, 6:49:16, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9769, loss_cls: 2.8551, loss: 2.8551 +2025-05-01 06:30:10,251 - pyskl - INFO - Epoch [43][2100/2353] lr: 2.029e-02, eta: 1 day, 6:48:32, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9738, loss_cls: 2.9982, loss: 2.9982 +2025-05-01 06:30:54,206 - pyskl - INFO - Epoch [43][2200/2353] lr: 2.028e-02, eta: 1 day, 6:47:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9825, loss_cls: 2.8920, loss: 2.8920 +2025-05-01 06:31:38,183 - pyskl - INFO - Epoch [43][2300/2353] lr: 2.027e-02, eta: 1 day, 6:47:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9800, loss_cls: 3.0114, loss: 3.0114 +2025-05-01 06:32:02,438 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-05-01 06:33:32,532 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 06:33:32,608 - pyskl - INFO - +top1_acc 0.8489 +top5_acc 0.9828 +2025-05-01 06:33:32,611 - pyskl - INFO - Epoch(val) [43][1184] top1_acc: 0.8489, top5_acc: 0.9828 +2025-05-01 06:34:37,987 - pyskl - INFO - Epoch [44][100/2353] lr: 2.026e-02, eta: 1 day, 6:45:51, time: 0.654, data_time: 0.213, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9875, loss_cls: 2.7952, loss: 2.7952 +2025-05-01 06:35:21,982 - pyskl - INFO - Epoch [44][200/2353] lr: 2.025e-02, eta: 1 day, 6:45:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9819, loss_cls: 2.9481, loss: 2.9481 +2025-05-01 06:36:06,163 - pyskl - INFO - Epoch [44][300/2353] lr: 2.024e-02, eta: 1 day, 6:44:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9775, loss_cls: 2.9835, loss: 2.9835 +2025-05-01 06:36:50,272 - pyskl - INFO - Epoch [44][400/2353] lr: 2.023e-02, eta: 1 day, 6:43:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 2.7360, loss: 2.7360 +2025-05-01 06:37:34,342 - pyskl - INFO - Epoch [44][500/2353] lr: 2.022e-02, eta: 1 day, 6:42:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9762, loss_cls: 2.9201, loss: 2.9201 +2025-05-01 06:38:18,421 - pyskl - INFO - Epoch [44][600/2353] lr: 2.021e-02, eta: 1 day, 6:42:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9800, loss_cls: 3.0084, loss: 3.0084 +2025-05-01 06:39:02,367 - pyskl - INFO - Epoch [44][700/2353] lr: 2.020e-02, eta: 1 day, 6:41:28, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9819, loss_cls: 2.9818, loss: 2.9818 +2025-05-01 06:39:46,461 - pyskl - INFO - Epoch [44][800/2353] lr: 2.019e-02, eta: 1 day, 6:40:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9869, loss_cls: 2.8232, loss: 2.8232 +2025-05-01 06:40:30,342 - pyskl - INFO - Epoch [44][900/2353] lr: 2.019e-02, eta: 1 day, 6:40:00, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9869, loss_cls: 2.7856, loss: 2.7856 +2025-05-01 06:41:14,397 - pyskl - INFO - Epoch [44][1000/2353] lr: 2.018e-02, eta: 1 day, 6:39:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9888, loss_cls: 2.8275, loss: 2.8275 +2025-05-01 06:41:58,464 - pyskl - INFO - Epoch [44][1100/2353] lr: 2.017e-02, eta: 1 day, 6:38:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9806, loss_cls: 2.8447, loss: 2.8447 +2025-05-01 06:42:42,526 - pyskl - INFO - Epoch [44][1200/2353] lr: 2.016e-02, eta: 1 day, 6:37:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9794, loss_cls: 3.1366, loss: 3.1366 +2025-05-01 06:43:26,542 - pyskl - INFO - Epoch [44][1300/2353] lr: 2.015e-02, eta: 1 day, 6:37:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9819, loss_cls: 2.9262, loss: 2.9262 +2025-05-01 06:44:10,481 - pyskl - INFO - Epoch [44][1400/2353] lr: 2.014e-02, eta: 1 day, 6:36:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9775, loss_cls: 2.9455, loss: 2.9455 +2025-05-01 06:44:54,531 - pyskl - INFO - Epoch [44][1500/2353] lr: 2.013e-02, eta: 1 day, 6:35:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9781, loss_cls: 2.9646, loss: 2.9646 +2025-05-01 06:45:38,625 - pyskl - INFO - Epoch [44][1600/2353] lr: 2.012e-02, eta: 1 day, 6:34:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9806, loss_cls: 2.9083, loss: 2.9083 +2025-05-01 06:46:22,645 - pyskl - INFO - Epoch [44][1700/2353] lr: 2.012e-02, eta: 1 day, 6:34:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9806, loss_cls: 2.9081, loss: 2.9081 +2025-05-01 06:47:06,721 - pyskl - INFO - Epoch [44][1800/2353] lr: 2.011e-02, eta: 1 day, 6:33:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9800, loss_cls: 2.9721, loss: 2.9721 +2025-05-01 06:47:50,753 - pyskl - INFO - Epoch [44][1900/2353] lr: 2.010e-02, eta: 1 day, 6:32:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9756, loss_cls: 2.9845, loss: 2.9845 +2025-05-01 06:48:34,738 - pyskl - INFO - Epoch [44][2000/2353] lr: 2.009e-02, eta: 1 day, 6:31:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9788, loss_cls: 2.8893, loss: 2.8893 +2025-05-01 06:49:18,825 - pyskl - INFO - Epoch [44][2100/2353] lr: 2.008e-02, eta: 1 day, 6:31:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9869, loss_cls: 2.9206, loss: 2.9206 +2025-05-01 06:50:02,804 - pyskl - INFO - Epoch [44][2200/2353] lr: 2.007e-02, eta: 1 day, 6:30:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9762, loss_cls: 3.0551, loss: 3.0551 +2025-05-01 06:50:46,950 - pyskl - INFO - Epoch [44][2300/2353] lr: 2.006e-02, eta: 1 day, 6:29:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9694, loss_cls: 3.0033, loss: 3.0033 +2025-05-01 06:51:10,922 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-05-01 06:52:40,868 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 06:52:40,945 - pyskl - INFO - +top1_acc 0.8625 +top5_acc 0.9835 +2025-05-01 06:52:40,948 - pyskl - INFO - Epoch(val) [44][1184] top1_acc: 0.8625, top5_acc: 0.9835 +2025-05-01 06:53:46,114 - pyskl - INFO - Epoch [45][100/2353] lr: 2.005e-02, eta: 1 day, 6:28:32, time: 0.652, data_time: 0.211, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 2.7862, loss: 2.7862 +2025-05-01 06:54:30,136 - pyskl - INFO - Epoch [45][200/2353] lr: 2.004e-02, eta: 1 day, 6:27:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9800, loss_cls: 2.9385, loss: 2.9385 +2025-05-01 06:55:14,271 - pyskl - INFO - Epoch [45][300/2353] lr: 2.003e-02, eta: 1 day, 6:27:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9875, loss_cls: 2.8393, loss: 2.8393 +2025-05-01 06:55:58,366 - pyskl - INFO - Epoch [45][400/2353] lr: 2.002e-02, eta: 1 day, 6:26:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9881, loss_cls: 2.8940, loss: 2.8940 +2025-05-01 06:56:42,584 - pyskl - INFO - Epoch [45][500/2353] lr: 2.001e-02, eta: 1 day, 6:25:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9800, loss_cls: 2.9443, loss: 2.9443 +2025-05-01 06:57:26,662 - pyskl - INFO - Epoch [45][600/2353] lr: 2.000e-02, eta: 1 day, 6:24:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9831, loss_cls: 2.8633, loss: 2.8633 +2025-05-01 06:58:10,741 - pyskl - INFO - Epoch [45][700/2353] lr: 2.000e-02, eta: 1 day, 6:24:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9794, loss_cls: 2.8599, loss: 2.8599 +2025-05-01 06:58:54,909 - pyskl - INFO - Epoch [45][800/2353] lr: 1.999e-02, eta: 1 day, 6:23:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9819, loss_cls: 2.8330, loss: 2.8330 +2025-05-01 06:59:39,104 - pyskl - INFO - Epoch [45][900/2353] lr: 1.998e-02, eta: 1 day, 6:22:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9806, loss_cls: 3.0458, loss: 3.0458 +2025-05-01 07:00:23,250 - pyskl - INFO - Epoch [45][1000/2353] lr: 1.997e-02, eta: 1 day, 6:21:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9756, loss_cls: 3.0571, loss: 3.0571 +2025-05-01 07:01:07,492 - pyskl - INFO - Epoch [45][1100/2353] lr: 1.996e-02, eta: 1 day, 6:21:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 2.8686, loss: 2.8686 +2025-05-01 07:01:51,787 - pyskl - INFO - Epoch [45][1200/2353] lr: 1.995e-02, eta: 1 day, 6:20:32, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9856, loss_cls: 2.8886, loss: 2.8886 +2025-05-01 07:02:35,772 - pyskl - INFO - Epoch [45][1300/2353] lr: 1.994e-02, eta: 1 day, 6:19:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9844, loss_cls: 2.9226, loss: 2.9226 +2025-05-01 07:03:19,947 - pyskl - INFO - Epoch [45][1400/2353] lr: 1.993e-02, eta: 1 day, 6:19:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9756, loss_cls: 2.9573, loss: 2.9573 +2025-05-01 07:04:04,100 - pyskl - INFO - Epoch [45][1500/2353] lr: 1.992e-02, eta: 1 day, 6:18:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9800, loss_cls: 2.9952, loss: 2.9952 +2025-05-01 07:04:48,376 - pyskl - INFO - Epoch [45][1600/2353] lr: 1.992e-02, eta: 1 day, 6:17:37, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9806, loss_cls: 2.9674, loss: 2.9674 +2025-05-01 07:05:32,576 - pyskl - INFO - Epoch [45][1700/2353] lr: 1.991e-02, eta: 1 day, 6:16:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9762, loss_cls: 2.9848, loss: 2.9848 +2025-05-01 07:06:16,689 - pyskl - INFO - Epoch [45][1800/2353] lr: 1.990e-02, eta: 1 day, 6:16:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9888, loss_cls: 2.9868, loss: 2.9868 +2025-05-01 07:07:00,715 - pyskl - INFO - Epoch [45][1900/2353] lr: 1.989e-02, eta: 1 day, 6:15:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9806, loss_cls: 2.9230, loss: 2.9230 +2025-05-01 07:07:44,787 - pyskl - INFO - Epoch [45][2000/2353] lr: 1.988e-02, eta: 1 day, 6:14:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9781, loss_cls: 2.9143, loss: 2.9143 +2025-05-01 07:08:28,993 - pyskl - INFO - Epoch [45][2100/2353] lr: 1.987e-02, eta: 1 day, 6:13:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 2.8767, loss: 2.8767 +2025-05-01 07:09:13,154 - pyskl - INFO - Epoch [45][2200/2353] lr: 1.986e-02, eta: 1 day, 6:13:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9800, loss_cls: 2.9540, loss: 2.9540 +2025-05-01 07:09:57,214 - pyskl - INFO - Epoch [45][2300/2353] lr: 1.985e-02, eta: 1 day, 6:12:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9750, loss_cls: 2.9707, loss: 2.9707 +2025-05-01 07:10:21,279 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-05-01 07:11:51,274 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 07:11:51,350 - pyskl - INFO - +top1_acc 0.8437 +top5_acc 0.9835 +2025-05-01 07:11:51,353 - pyskl - INFO - Epoch(val) [45][1184] top1_acc: 0.8437, top5_acc: 0.9835 +2025-05-01 07:12:56,366 - pyskl - INFO - Epoch [46][100/2353] lr: 1.984e-02, eta: 1 day, 6:11:18, time: 0.650, data_time: 0.211, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9881, loss_cls: 2.8398, loss: 2.8398 +2025-05-01 07:13:40,449 - pyskl - INFO - Epoch [46][200/2353] lr: 1.983e-02, eta: 1 day, 6:10:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9831, loss_cls: 2.9058, loss: 2.9058 +2025-05-01 07:14:24,520 - pyskl - INFO - Epoch [46][300/2353] lr: 1.982e-02, eta: 1 day, 6:09:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9862, loss_cls: 2.8059, loss: 2.8059 +2025-05-01 07:15:08,659 - pyskl - INFO - Epoch [46][400/2353] lr: 1.981e-02, eta: 1 day, 6:09:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9831, loss_cls: 2.8897, loss: 2.8897 +2025-05-01 07:15:52,691 - pyskl - INFO - Epoch [46][500/2353] lr: 1.980e-02, eta: 1 day, 6:08:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9800, loss_cls: 2.8645, loss: 2.8645 +2025-05-01 07:16:36,805 - pyskl - INFO - Epoch [46][600/2353] lr: 1.979e-02, eta: 1 day, 6:07:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9862, loss_cls: 2.8259, loss: 2.8259 +2025-05-01 07:17:20,895 - pyskl - INFO - Epoch [46][700/2353] lr: 1.978e-02, eta: 1 day, 6:06:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9794, loss_cls: 2.9356, loss: 2.9356 +2025-05-01 07:18:04,999 - pyskl - INFO - Epoch [46][800/2353] lr: 1.978e-02, eta: 1 day, 6:06:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9794, loss_cls: 2.9150, loss: 2.9150 +2025-05-01 07:18:49,179 - pyskl - INFO - Epoch [46][900/2353] lr: 1.977e-02, eta: 1 day, 6:05:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9806, loss_cls: 2.9596, loss: 2.9596 +2025-05-01 07:19:33,359 - pyskl - INFO - Epoch [46][1000/2353] lr: 1.976e-02, eta: 1 day, 6:04:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9800, loss_cls: 2.8059, loss: 2.8059 +2025-05-01 07:20:17,497 - pyskl - INFO - Epoch [46][1100/2353] lr: 1.975e-02, eta: 1 day, 6:04:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9794, loss_cls: 2.9486, loss: 2.9486 +2025-05-01 07:21:01,582 - pyskl - INFO - Epoch [46][1200/2353] lr: 1.974e-02, eta: 1 day, 6:03:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9806, loss_cls: 2.8607, loss: 2.8607 +2025-05-01 07:21:45,706 - pyskl - INFO - Epoch [46][1300/2353] lr: 1.973e-02, eta: 1 day, 6:02:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9838, loss_cls: 3.0657, loss: 3.0657 +2025-05-01 07:22:29,794 - pyskl - INFO - Epoch [46][1400/2353] lr: 1.972e-02, eta: 1 day, 6:01:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9788, loss_cls: 2.8966, loss: 2.8966 +2025-05-01 07:23:14,088 - pyskl - INFO - Epoch [46][1500/2353] lr: 1.971e-02, eta: 1 day, 6:01:06, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9788, loss_cls: 2.9425, loss: 2.9425 +2025-05-01 07:23:58,238 - pyskl - INFO - Epoch [46][1600/2353] lr: 1.970e-02, eta: 1 day, 6:00:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9800, loss_cls: 2.9609, loss: 2.9609 +2025-05-01 07:24:42,358 - pyskl - INFO - Epoch [46][1700/2353] lr: 1.969e-02, eta: 1 day, 5:59:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9831, loss_cls: 2.9165, loss: 2.9165 +2025-05-01 07:25:26,548 - pyskl - INFO - Epoch [46][1800/2353] lr: 1.968e-02, eta: 1 day, 5:58:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9819, loss_cls: 2.8738, loss: 2.8738 +2025-05-01 07:26:10,665 - pyskl - INFO - Epoch [46][1900/2353] lr: 1.968e-02, eta: 1 day, 5:58:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9800, loss_cls: 2.9100, loss: 2.9100 +2025-05-01 07:26:54,786 - pyskl - INFO - Epoch [46][2000/2353] lr: 1.967e-02, eta: 1 day, 5:57:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9831, loss_cls: 2.9006, loss: 2.9006 +2025-05-01 07:27:38,896 - pyskl - INFO - Epoch [46][2100/2353] lr: 1.966e-02, eta: 1 day, 5:56:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9806, loss_cls: 2.8711, loss: 2.8711 +2025-05-01 07:28:23,245 - pyskl - INFO - Epoch [46][2200/2353] lr: 1.965e-02, eta: 1 day, 5:56:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9831, loss_cls: 2.9325, loss: 2.9325 +2025-05-01 07:29:07,354 - pyskl - INFO - Epoch [46][2300/2353] lr: 1.964e-02, eta: 1 day, 5:55:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9812, loss_cls: 2.9167, loss: 2.9167 +2025-05-01 07:29:31,407 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-05-01 07:31:01,361 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 07:31:01,437 - pyskl - INFO - +top1_acc 0.8757 +top5_acc 0.9871 +2025-05-01 07:31:01,497 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_41.pth was removed +2025-05-01 07:31:02,637 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. +2025-05-01 07:31:02,638 - pyskl - INFO - Best top1_acc is 0.8757 at 46 epoch. +2025-05-01 07:31:02,641 - pyskl - INFO - Epoch(val) [46][1184] top1_acc: 0.8757, top5_acc: 0.9871 +2025-05-01 07:32:07,919 - pyskl - INFO - Epoch [47][100/2353] lr: 1.962e-02, eta: 1 day, 5:54:05, time: 0.653, data_time: 0.214, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 2.8456, loss: 2.8456 +2025-05-01 07:32:51,922 - pyskl - INFO - Epoch [47][200/2353] lr: 1.962e-02, eta: 1 day, 5:53:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 2.6870, loss: 2.6870 +2025-05-01 07:33:35,850 - pyskl - INFO - Epoch [47][300/2353] lr: 1.961e-02, eta: 1 day, 5:52:37, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 2.7344, loss: 2.7344 +2025-05-01 07:34:19,851 - pyskl - INFO - Epoch [47][400/2353] lr: 1.960e-02, eta: 1 day, 5:51:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9875, loss_cls: 2.8211, loss: 2.8211 +2025-05-01 07:35:03,759 - pyskl - INFO - Epoch [47][500/2353] lr: 1.959e-02, eta: 1 day, 5:51:08, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9744, loss_cls: 2.9490, loss: 2.9490 +2025-05-01 07:35:47,770 - pyskl - INFO - Epoch [47][600/2353] lr: 1.958e-02, eta: 1 day, 5:50:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9831, loss_cls: 2.9251, loss: 2.9251 +2025-05-01 07:36:31,887 - pyskl - INFO - Epoch [47][700/2353] lr: 1.957e-02, eta: 1 day, 5:49:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 2.8943, loss: 2.8943 +2025-05-01 07:37:15,958 - pyskl - INFO - Epoch [47][800/2353] lr: 1.956e-02, eta: 1 day, 5:48:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9781, loss_cls: 2.9100, loss: 2.9100 +2025-05-01 07:38:00,094 - pyskl - INFO - Epoch [47][900/2353] lr: 1.955e-02, eta: 1 day, 5:48:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9806, loss_cls: 2.9312, loss: 2.9312 +2025-05-01 07:38:44,072 - pyskl - INFO - Epoch [47][1000/2353] lr: 1.954e-02, eta: 1 day, 5:47:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 2.8341, loss: 2.8341 +2025-05-01 07:39:28,053 - pyskl - INFO - Epoch [47][1100/2353] lr: 1.953e-02, eta: 1 day, 5:46:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9819, loss_cls: 2.8872, loss: 2.8872 +2025-05-01 07:40:12,110 - pyskl - INFO - Epoch [47][1200/2353] lr: 1.952e-02, eta: 1 day, 5:46:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9788, loss_cls: 2.8358, loss: 2.8358 +2025-05-01 07:40:56,237 - pyskl - INFO - Epoch [47][1300/2353] lr: 1.951e-02, eta: 1 day, 5:45:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9806, loss_cls: 2.8916, loss: 2.8916 +2025-05-01 07:41:40,404 - pyskl - INFO - Epoch [47][1400/2353] lr: 1.951e-02, eta: 1 day, 5:44:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9825, loss_cls: 2.9675, loss: 2.9675 +2025-05-01 07:42:24,531 - pyskl - INFO - Epoch [47][1500/2353] lr: 1.950e-02, eta: 1 day, 5:43:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 2.9533, loss: 2.9533 +2025-05-01 07:43:08,363 - pyskl - INFO - Epoch [47][1600/2353] lr: 1.949e-02, eta: 1 day, 5:43:05, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9794, loss_cls: 2.8783, loss: 2.8783 +2025-05-01 07:43:52,310 - pyskl - INFO - Epoch [47][1700/2353] lr: 1.948e-02, eta: 1 day, 5:42:21, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9838, loss_cls: 2.8666, loss: 2.8666 +2025-05-01 07:44:36,277 - pyskl - INFO - Epoch [47][1800/2353] lr: 1.947e-02, eta: 1 day, 5:41:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9819, loss_cls: 2.8254, loss: 2.8254 +2025-05-01 07:45:20,202 - pyskl - INFO - Epoch [47][1900/2353] lr: 1.946e-02, eta: 1 day, 5:40:53, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 2.7914, loss: 2.7914 +2025-05-01 07:46:04,114 - pyskl - INFO - Epoch [47][2000/2353] lr: 1.945e-02, eta: 1 day, 5:40:09, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9806, loss_cls: 2.7397, loss: 2.7397 +2025-05-01 07:46:48,068 - pyskl - INFO - Epoch [47][2100/2353] lr: 1.944e-02, eta: 1 day, 5:39:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9800, loss_cls: 2.8769, loss: 2.8769 +2025-05-01 07:47:32,003 - pyskl - INFO - Epoch [47][2200/2353] lr: 1.943e-02, eta: 1 day, 5:38:41, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9788, loss_cls: 2.9821, loss: 2.9821 +2025-05-01 07:48:15,994 - pyskl - INFO - Epoch [47][2300/2353] lr: 1.942e-02, eta: 1 day, 5:37:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9806, loss_cls: 2.9280, loss: 2.9280 +2025-05-01 07:48:39,937 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-05-01 07:50:09,920 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 07:50:09,997 - pyskl - INFO - +top1_acc 0.8524 +top5_acc 0.9856 +2025-05-01 07:50:10,001 - pyskl - INFO - Epoch(val) [47][1184] top1_acc: 0.8524, top5_acc: 0.9856 +2025-05-01 07:51:15,790 - pyskl - INFO - Epoch [48][100/2353] lr: 1.941e-02, eta: 1 day, 5:36:46, time: 0.658, data_time: 0.217, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9831, loss_cls: 2.9253, loss: 2.9253 +2025-05-01 07:51:59,798 - pyskl - INFO - Epoch [48][200/2353] lr: 1.940e-02, eta: 1 day, 5:36:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9850, loss_cls: 2.7985, loss: 2.7985 +2025-05-01 07:52:43,758 - pyskl - INFO - Epoch [48][300/2353] lr: 1.939e-02, eta: 1 day, 5:35:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 2.8553, loss: 2.8553 +2025-05-01 07:53:27,783 - pyskl - INFO - Epoch [48][400/2353] lr: 1.938e-02, eta: 1 day, 5:34:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9825, loss_cls: 2.7205, loss: 2.7205 +2025-05-01 07:54:11,837 - pyskl - INFO - Epoch [48][500/2353] lr: 1.937e-02, eta: 1 day, 5:33:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 2.7827, loss: 2.7827 +2025-05-01 07:54:55,858 - pyskl - INFO - Epoch [48][600/2353] lr: 1.936e-02, eta: 1 day, 5:33:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9869, loss_cls: 2.8063, loss: 2.8063 +2025-05-01 07:55:39,839 - pyskl - INFO - Epoch [48][700/2353] lr: 1.935e-02, eta: 1 day, 5:32:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 2.9725, loss: 2.9725 +2025-05-01 07:56:23,966 - pyskl - INFO - Epoch [48][800/2353] lr: 1.934e-02, eta: 1 day, 5:31:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9806, loss_cls: 2.9340, loss: 2.9340 +2025-05-01 07:57:07,995 - pyskl - INFO - Epoch [48][900/2353] lr: 1.933e-02, eta: 1 day, 5:30:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9831, loss_cls: 2.8706, loss: 2.8706 +2025-05-01 07:57:52,083 - pyskl - INFO - Epoch [48][1000/2353] lr: 1.932e-02, eta: 1 day, 5:30:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9806, loss_cls: 2.9828, loss: 2.9828 +2025-05-01 07:58:36,165 - pyskl - INFO - Epoch [48][1100/2353] lr: 1.932e-02, eta: 1 day, 5:29:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 2.8995, loss: 2.8995 +2025-05-01 07:59:20,202 - pyskl - INFO - Epoch [48][1200/2353] lr: 1.931e-02, eta: 1 day, 5:28:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9775, loss_cls: 2.8341, loss: 2.8341 +2025-05-01 08:00:04,321 - pyskl - INFO - Epoch [48][1300/2353] lr: 1.930e-02, eta: 1 day, 5:27:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9800, loss_cls: 2.9907, loss: 2.9907 +2025-05-01 08:00:48,535 - pyskl - INFO - Epoch [48][1400/2353] lr: 1.929e-02, eta: 1 day, 5:27:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 2.8913, loss: 2.8913 +2025-05-01 08:01:32,548 - pyskl - INFO - Epoch [48][1500/2353] lr: 1.928e-02, eta: 1 day, 5:26:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9788, loss_cls: 2.8703, loss: 2.8703 +2025-05-01 08:02:16,534 - pyskl - INFO - Epoch [48][1600/2353] lr: 1.927e-02, eta: 1 day, 5:25:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 2.8796, loss: 2.8796 +2025-05-01 08:03:00,569 - pyskl - INFO - Epoch [48][1700/2353] lr: 1.926e-02, eta: 1 day, 5:25:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 2.8049, loss: 2.8049 +2025-05-01 08:03:44,502 - pyskl - INFO - Epoch [48][1800/2353] lr: 1.925e-02, eta: 1 day, 5:24:19, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9825, loss_cls: 3.0033, loss: 3.0033 +2025-05-01 08:04:28,498 - pyskl - INFO - Epoch [48][1900/2353] lr: 1.924e-02, eta: 1 day, 5:23:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9800, loss_cls: 2.7609, loss: 2.7609 +2025-05-01 08:05:12,526 - pyskl - INFO - Epoch [48][2000/2353] lr: 1.923e-02, eta: 1 day, 5:22:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9788, loss_cls: 2.9738, loss: 2.9738 +2025-05-01 08:05:56,561 - pyskl - INFO - Epoch [48][2100/2353] lr: 1.922e-02, eta: 1 day, 5:22:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9825, loss_cls: 2.9364, loss: 2.9364 +2025-05-01 08:06:40,594 - pyskl - INFO - Epoch [48][2200/2353] lr: 1.921e-02, eta: 1 day, 5:21:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9862, loss_cls: 2.7995, loss: 2.7995 +2025-05-01 08:07:24,674 - pyskl - INFO - Epoch [48][2300/2353] lr: 1.920e-02, eta: 1 day, 5:20:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9738, loss_cls: 2.9156, loss: 2.9156 +2025-05-01 08:07:48,719 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-05-01 08:09:18,488 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 08:09:18,564 - pyskl - INFO - +top1_acc 0.8832 +top5_acc 0.9899 +2025-05-01 08:09:18,631 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_46.pth was removed +2025-05-01 08:09:19,796 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_48.pth. +2025-05-01 08:09:19,797 - pyskl - INFO - Best top1_acc is 0.8832 at 48 epoch. +2025-05-01 08:09:19,801 - pyskl - INFO - Epoch(val) [48][1184] top1_acc: 0.8832, top5_acc: 0.9899 +2025-05-01 08:10:25,009 - pyskl - INFO - Epoch [49][100/2353] lr: 1.919e-02, eta: 1 day, 5:19:27, time: 0.652, data_time: 0.210, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 2.7526, loss: 2.7526 +2025-05-01 08:11:09,107 - pyskl - INFO - Epoch [49][200/2353] lr: 1.918e-02, eta: 1 day, 5:18:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9894, loss_cls: 2.7482, loss: 2.7482 +2025-05-01 08:11:53,016 - pyskl - INFO - Epoch [49][300/2353] lr: 1.917e-02, eta: 1 day, 5:17:59, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 2.8026, loss: 2.8026 +2025-05-01 08:12:37,078 - pyskl - INFO - Epoch [49][400/2353] lr: 1.916e-02, eta: 1 day, 5:17:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9819, loss_cls: 2.7963, loss: 2.7963 +2025-05-01 08:13:21,075 - pyskl - INFO - Epoch [49][500/2353] lr: 1.915e-02, eta: 1 day, 5:16:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9856, loss_cls: 2.8254, loss: 2.8254 +2025-05-01 08:14:05,232 - pyskl - INFO - Epoch [49][600/2353] lr: 1.914e-02, eta: 1 day, 5:15:48, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9850, loss_cls: 2.6901, loss: 2.6901 +2025-05-01 08:14:49,620 - pyskl - INFO - Epoch [49][700/2353] lr: 1.913e-02, eta: 1 day, 5:15:05, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9794, loss_cls: 2.8708, loss: 2.8708 +2025-05-01 08:15:33,735 - pyskl - INFO - Epoch [49][800/2353] lr: 1.912e-02, eta: 1 day, 5:14:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9844, loss_cls: 3.0303, loss: 3.0303 +2025-05-01 08:16:17,702 - pyskl - INFO - Epoch [49][900/2353] lr: 1.911e-02, eta: 1 day, 5:13:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9869, loss_cls: 2.7550, loss: 2.7550 +2025-05-01 08:17:01,635 - pyskl - INFO - Epoch [49][1000/2353] lr: 1.910e-02, eta: 1 day, 5:12:53, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9831, loss_cls: 2.8725, loss: 2.8725 +2025-05-01 08:17:45,739 - pyskl - INFO - Epoch [49][1100/2353] lr: 1.909e-02, eta: 1 day, 5:12:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9812, loss_cls: 2.9091, loss: 2.9091 +2025-05-01 08:18:29,715 - pyskl - INFO - Epoch [49][1200/2353] lr: 1.908e-02, eta: 1 day, 5:11:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9825, loss_cls: 2.8739, loss: 2.8739 +2025-05-01 08:19:13,717 - pyskl - INFO - Epoch [49][1300/2353] lr: 1.908e-02, eta: 1 day, 5:10:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 2.8250, loss: 2.8250 +2025-05-01 08:19:57,783 - pyskl - INFO - Epoch [49][1400/2353] lr: 1.907e-02, eta: 1 day, 5:09:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9788, loss_cls: 2.9341, loss: 2.9341 +2025-05-01 08:20:41,725 - pyskl - INFO - Epoch [49][1500/2353] lr: 1.906e-02, eta: 1 day, 5:09:13, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9819, loss_cls: 2.9493, loss: 2.9493 +2025-05-01 08:21:25,556 - pyskl - INFO - Epoch [49][1600/2353] lr: 1.905e-02, eta: 1 day, 5:08:28, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9869, loss_cls: 2.8127, loss: 2.8127 +2025-05-01 08:22:09,439 - pyskl - INFO - Epoch [49][1700/2353] lr: 1.904e-02, eta: 1 day, 5:07:44, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9794, loss_cls: 2.9120, loss: 2.9120 +2025-05-01 08:22:53,392 - pyskl - INFO - Epoch [49][1800/2353] lr: 1.903e-02, eta: 1 day, 5:07:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9838, loss_cls: 2.8183, loss: 2.8183 +2025-05-01 08:23:37,363 - pyskl - INFO - Epoch [49][1900/2353] lr: 1.902e-02, eta: 1 day, 5:06:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9856, loss_cls: 2.8011, loss: 2.8011 +2025-05-01 08:24:21,339 - pyskl - INFO - Epoch [49][2000/2353] lr: 1.901e-02, eta: 1 day, 5:05:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9850, loss_cls: 2.8392, loss: 2.8392 +2025-05-01 08:25:05,391 - pyskl - INFO - Epoch [49][2100/2353] lr: 1.900e-02, eta: 1 day, 5:04:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 2.7814, loss: 2.7814 +2025-05-01 08:25:49,223 - pyskl - INFO - Epoch [49][2200/2353] lr: 1.899e-02, eta: 1 day, 5:04:04, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 2.9231, loss: 2.9231 +2025-05-01 08:26:32,813 - pyskl - INFO - Epoch [49][2300/2353] lr: 1.898e-02, eta: 1 day, 5:03:19, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9781, loss_cls: 2.8975, loss: 2.8975 +2025-05-01 08:26:56,810 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-05-01 08:28:26,519 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 08:28:26,595 - pyskl - INFO - +top1_acc 0.8712 +top5_acc 0.9882 +2025-05-01 08:28:26,599 - pyskl - INFO - Epoch(val) [49][1184] top1_acc: 0.8712, top5_acc: 0.9882 +2025-05-01 08:29:31,956 - pyskl - INFO - Epoch [50][100/2353] lr: 1.897e-02, eta: 1 day, 5:02:07, time: 0.654, data_time: 0.212, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 2.7037, loss: 2.7037 +2025-05-01 08:30:16,059 - pyskl - INFO - Epoch [50][200/2353] lr: 1.896e-02, eta: 1 day, 5:01:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9900, loss_cls: 2.6885, loss: 2.6885 +2025-05-01 08:31:00,094 - pyskl - INFO - Epoch [50][300/2353] lr: 1.895e-02, eta: 1 day, 5:00:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9831, loss_cls: 2.8595, loss: 2.8595 +2025-05-01 08:31:44,253 - pyskl - INFO - Epoch [50][400/2353] lr: 1.894e-02, eta: 1 day, 4:59:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 2.8378, loss: 2.8378 +2025-05-01 08:32:28,388 - pyskl - INFO - Epoch [50][500/2353] lr: 1.893e-02, eta: 1 day, 4:59:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9881, loss_cls: 2.8058, loss: 2.8058 +2025-05-01 08:33:12,619 - pyskl - INFO - Epoch [50][600/2353] lr: 1.892e-02, eta: 1 day, 4:58:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 2.7891, loss: 2.7891 +2025-05-01 08:33:56,738 - pyskl - INFO - Epoch [50][700/2353] lr: 1.891e-02, eta: 1 day, 4:57:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9862, loss_cls: 2.8323, loss: 2.8323 +2025-05-01 08:34:40,840 - pyskl - INFO - Epoch [50][800/2353] lr: 1.890e-02, eta: 1 day, 4:57:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 2.7597, loss: 2.7597 +2025-05-01 08:35:24,895 - pyskl - INFO - Epoch [50][900/2353] lr: 1.889e-02, eta: 1 day, 4:56:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9838, loss_cls: 2.8741, loss: 2.8741 +2025-05-01 08:36:08,864 - pyskl - INFO - Epoch [50][1000/2353] lr: 1.888e-02, eta: 1 day, 4:55:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9819, loss_cls: 2.8708, loss: 2.8708 +2025-05-01 08:36:53,053 - pyskl - INFO - Epoch [50][1100/2353] lr: 1.887e-02, eta: 1 day, 4:54:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9819, loss_cls: 2.8827, loss: 2.8827 +2025-05-01 08:37:37,487 - pyskl - INFO - Epoch [50][1200/2353] lr: 1.886e-02, eta: 1 day, 4:54:06, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9875, loss_cls: 2.8181, loss: 2.8181 +2025-05-01 08:38:21,816 - pyskl - INFO - Epoch [50][1300/2353] lr: 1.885e-02, eta: 1 day, 4:53:23, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9819, loss_cls: 2.8411, loss: 2.8411 +2025-05-01 08:39:06,126 - pyskl - INFO - Epoch [50][1400/2353] lr: 1.884e-02, eta: 1 day, 4:52:40, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9756, loss_cls: 2.8008, loss: 2.8008 +2025-05-01 08:39:50,319 - pyskl - INFO - Epoch [50][1500/2353] lr: 1.883e-02, eta: 1 day, 4:51:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 2.7849, loss: 2.7849 +2025-05-01 08:40:34,507 - pyskl - INFO - Epoch [50][1600/2353] lr: 1.882e-02, eta: 1 day, 4:51:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9806, loss_cls: 2.8068, loss: 2.8068 +2025-05-01 08:41:18,599 - pyskl - INFO - Epoch [50][1700/2353] lr: 1.881e-02, eta: 1 day, 4:50:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9800, loss_cls: 2.8870, loss: 2.8870 +2025-05-01 08:42:02,808 - pyskl - INFO - Epoch [50][1800/2353] lr: 1.880e-02, eta: 1 day, 4:49:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9825, loss_cls: 2.9077, loss: 2.9077 +2025-05-01 08:42:46,889 - pyskl - INFO - Epoch [50][1900/2353] lr: 1.879e-02, eta: 1 day, 4:49:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9831, loss_cls: 2.9033, loss: 2.9033 +2025-05-01 08:43:31,103 - pyskl - INFO - Epoch [50][2000/2353] lr: 1.878e-02, eta: 1 day, 4:48:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9856, loss_cls: 2.8816, loss: 2.8816 +2025-05-01 08:44:15,259 - pyskl - INFO - Epoch [50][2100/2353] lr: 1.877e-02, eta: 1 day, 4:47:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9819, loss_cls: 2.8510, loss: 2.8510 +2025-05-01 08:44:59,365 - pyskl - INFO - Epoch [50][2200/2353] lr: 1.876e-02, eta: 1 day, 4:46:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9775, loss_cls: 2.9837, loss: 2.9837 +2025-05-01 08:45:43,439 - pyskl - INFO - Epoch [50][2300/2353] lr: 1.876e-02, eta: 1 day, 4:46:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9819, loss_cls: 2.8771, loss: 2.8771 +2025-05-01 08:46:07,561 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-05-01 08:47:37,679 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 08:47:37,755 - pyskl - INFO - +top1_acc 0.8637 +top5_acc 0.9857 +2025-05-01 08:47:37,759 - pyskl - INFO - Epoch(val) [50][1184] top1_acc: 0.8637, top5_acc: 0.9857 +2025-05-01 08:48:42,416 - pyskl - INFO - Epoch [51][100/2353] lr: 1.874e-02, eta: 1 day, 4:44:53, time: 0.647, data_time: 0.208, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9881, loss_cls: 2.7402, loss: 2.7402 +2025-05-01 08:49:26,372 - pyskl - INFO - Epoch [51][200/2353] lr: 1.873e-02, eta: 1 day, 4:44:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9856, loss_cls: 2.7800, loss: 2.7800 +2025-05-01 08:50:10,421 - pyskl - INFO - Epoch [51][300/2353] lr: 1.872e-02, eta: 1 day, 4:43:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9744, loss_cls: 3.0059, loss: 3.0059 +2025-05-01 08:50:54,574 - pyskl - INFO - Epoch [51][400/2353] lr: 1.871e-02, eta: 1 day, 4:42:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9894, loss_cls: 2.7678, loss: 2.7678 +2025-05-01 08:51:38,782 - pyskl - INFO - Epoch [51][500/2353] lr: 1.870e-02, eta: 1 day, 4:41:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9781, loss_cls: 2.7826, loss: 2.7826 +2025-05-01 08:52:22,999 - pyskl - INFO - Epoch [51][600/2353] lr: 1.869e-02, eta: 1 day, 4:41:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 2.8614, loss: 2.8614 +2025-05-01 08:53:07,158 - pyskl - INFO - Epoch [51][700/2353] lr: 1.868e-02, eta: 1 day, 4:40:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9850, loss_cls: 2.8330, loss: 2.8330 +2025-05-01 08:53:51,207 - pyskl - INFO - Epoch [51][800/2353] lr: 1.867e-02, eta: 1 day, 4:39:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9838, loss_cls: 2.8642, loss: 2.8642 +2025-05-01 08:54:35,419 - pyskl - INFO - Epoch [51][900/2353] lr: 1.866e-02, eta: 1 day, 4:39:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9831, loss_cls: 2.7681, loss: 2.7681 +2025-05-01 08:55:19,712 - pyskl - INFO - Epoch [51][1000/2353] lr: 1.865e-02, eta: 1 day, 4:38:20, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9800, loss_cls: 2.8025, loss: 2.8025 +2025-05-01 08:56:04,043 - pyskl - INFO - Epoch [51][1100/2353] lr: 1.864e-02, eta: 1 day, 4:37:37, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9800, loss_cls: 2.9286, loss: 2.9286 +2025-05-01 08:56:48,095 - pyskl - INFO - Epoch [51][1200/2353] lr: 1.863e-02, eta: 1 day, 4:36:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9819, loss_cls: 2.8572, loss: 2.8572 +2025-05-01 08:57:32,078 - pyskl - INFO - Epoch [51][1300/2353] lr: 1.862e-02, eta: 1 day, 4:36:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 2.7411, loss: 2.7411 +2025-05-01 08:58:16,091 - pyskl - INFO - Epoch [51][1400/2353] lr: 1.861e-02, eta: 1 day, 4:35:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9812, loss_cls: 2.8325, loss: 2.8325 +2025-05-01 08:59:00,131 - pyskl - INFO - Epoch [51][1500/2353] lr: 1.861e-02, eta: 1 day, 4:34:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 2.8867, loss: 2.8867 +2025-05-01 08:59:44,259 - pyskl - INFO - Epoch [51][1600/2353] lr: 1.860e-02, eta: 1 day, 4:33:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9806, loss_cls: 2.8487, loss: 2.8487 +2025-05-01 09:00:28,339 - pyskl - INFO - Epoch [51][1700/2353] lr: 1.859e-02, eta: 1 day, 4:33:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9838, loss_cls: 2.8459, loss: 2.8459 +2025-05-01 09:01:12,410 - pyskl - INFO - Epoch [51][1800/2353] lr: 1.858e-02, eta: 1 day, 4:32:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9850, loss_cls: 2.7872, loss: 2.7872 +2025-05-01 09:01:56,469 - pyskl - INFO - Epoch [51][1900/2353] lr: 1.857e-02, eta: 1 day, 4:31:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9756, loss_cls: 2.9707, loss: 2.9707 +2025-05-01 09:02:40,609 - pyskl - INFO - Epoch [51][2000/2353] lr: 1.856e-02, eta: 1 day, 4:31:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9819, loss_cls: 2.8076, loss: 2.8076 +2025-05-01 09:03:24,711 - pyskl - INFO - Epoch [51][2100/2353] lr: 1.855e-02, eta: 1 day, 4:30:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9788, loss_cls: 2.7814, loss: 2.7814 +2025-05-01 09:04:08,834 - pyskl - INFO - Epoch [51][2200/2353] lr: 1.854e-02, eta: 1 day, 4:29:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9831, loss_cls: 2.8075, loss: 2.8075 +2025-05-01 09:04:52,980 - pyskl - INFO - Epoch [51][2300/2353] lr: 1.853e-02, eta: 1 day, 4:28:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 2.7657, loss: 2.7657 +2025-05-01 09:05:17,035 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-05-01 09:06:46,819 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 09:06:46,894 - pyskl - INFO - +top1_acc 0.8706 +top5_acc 0.9856 +2025-05-01 09:06:46,898 - pyskl - INFO - Epoch(val) [51][1184] top1_acc: 0.8706, top5_acc: 0.9856 +2025-05-01 09:07:51,587 - pyskl - INFO - Epoch [52][100/2353] lr: 1.851e-02, eta: 1 day, 4:27:38, time: 0.647, data_time: 0.208, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9900, loss_cls: 2.7811, loss: 2.7811 +2025-05-01 09:08:35,641 - pyskl - INFO - Epoch [52][200/2353] lr: 1.850e-02, eta: 1 day, 4:26:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9919, loss_cls: 2.7090, loss: 2.7090 +2025-05-01 09:09:19,842 - pyskl - INFO - Epoch [52][300/2353] lr: 1.849e-02, eta: 1 day, 4:26:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 2.6579, loss: 2.6579 +2025-05-01 09:10:03,988 - pyskl - INFO - Epoch [52][400/2353] lr: 1.848e-02, eta: 1 day, 4:25:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 2.7609, loss: 2.7609 +2025-05-01 09:10:48,207 - pyskl - INFO - Epoch [52][500/2353] lr: 1.847e-02, eta: 1 day, 4:24:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9788, loss_cls: 2.9527, loss: 2.9527 +2025-05-01 09:11:32,306 - pyskl - INFO - Epoch [52][600/2353] lr: 1.846e-02, eta: 1 day, 4:23:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9806, loss_cls: 2.8307, loss: 2.8307 +2025-05-01 09:12:16,436 - pyskl - INFO - Epoch [52][700/2353] lr: 1.845e-02, eta: 1 day, 4:23:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9838, loss_cls: 2.7751, loss: 2.7751 +2025-05-01 09:13:00,632 - pyskl - INFO - Epoch [52][800/2353] lr: 1.844e-02, eta: 1 day, 4:22:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9844, loss_cls: 2.7884, loss: 2.7884 +2025-05-01 09:13:44,666 - pyskl - INFO - Epoch [52][900/2353] lr: 1.843e-02, eta: 1 day, 4:21:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 2.8087, loss: 2.8087 +2025-05-01 09:14:28,771 - pyskl - INFO - Epoch [52][1000/2353] lr: 1.842e-02, eta: 1 day, 4:21:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9825, loss_cls: 2.9771, loss: 2.9771 +2025-05-01 09:15:12,900 - pyskl - INFO - Epoch [52][1100/2353] lr: 1.841e-02, eta: 1 day, 4:20:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9800, loss_cls: 2.8657, loss: 2.8657 +2025-05-01 09:15:57,104 - pyskl - INFO - Epoch [52][1200/2353] lr: 1.840e-02, eta: 1 day, 4:19:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 2.7195, loss: 2.7195 +2025-05-01 09:16:41,514 - pyskl - INFO - Epoch [52][1300/2353] lr: 1.839e-02, eta: 1 day, 4:18:53, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9875, loss_cls: 2.7773, loss: 2.7773 +2025-05-01 09:17:25,659 - pyskl - INFO - Epoch [52][1400/2353] lr: 1.839e-02, eta: 1 day, 4:18:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9875, loss_cls: 2.8876, loss: 2.8876 +2025-05-01 09:18:09,667 - pyskl - INFO - Epoch [52][1500/2353] lr: 1.838e-02, eta: 1 day, 4:17:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9831, loss_cls: 2.7924, loss: 2.7924 +2025-05-01 09:18:53,735 - pyskl - INFO - Epoch [52][1600/2353] lr: 1.837e-02, eta: 1 day, 4:16:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9831, loss_cls: 2.8468, loss: 2.8468 +2025-05-01 09:19:37,828 - pyskl - INFO - Epoch [52][1700/2353] lr: 1.836e-02, eta: 1 day, 4:15:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9800, loss_cls: 2.8869, loss: 2.8869 +2025-05-01 09:20:21,907 - pyskl - INFO - Epoch [52][1800/2353] lr: 1.835e-02, eta: 1 day, 4:15:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9800, loss_cls: 2.9379, loss: 2.9379 +2025-05-01 09:21:06,039 - pyskl - INFO - Epoch [52][1900/2353] lr: 1.834e-02, eta: 1 day, 4:14:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 2.8101, loss: 2.8101 +2025-05-01 09:21:49,996 - pyskl - INFO - Epoch [52][2000/2353] lr: 1.833e-02, eta: 1 day, 4:13:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9844, loss_cls: 2.8664, loss: 2.8664 +2025-05-01 09:22:34,144 - pyskl - INFO - Epoch [52][2100/2353] lr: 1.832e-02, eta: 1 day, 4:13:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9706, loss_cls: 3.0401, loss: 3.0401 +2025-05-01 09:23:17,925 - pyskl - INFO - Epoch [52][2200/2353] lr: 1.831e-02, eta: 1 day, 4:12:18, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9862, loss_cls: 2.7453, loss: 2.7453 +2025-05-01 09:24:01,791 - pyskl - INFO - Epoch [52][2300/2353] lr: 1.830e-02, eta: 1 day, 4:11:34, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9844, loss_cls: 2.8012, loss: 2.8012 +2025-05-01 09:24:25,882 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-05-01 09:25:55,673 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 09:25:55,749 - pyskl - INFO - +top1_acc 0.8755 +top5_acc 0.9851 +2025-05-01 09:25:55,752 - pyskl - INFO - Epoch(val) [52][1184] top1_acc: 0.8755, top5_acc: 0.9851 +2025-05-01 09:27:01,287 - pyskl - INFO - Epoch [53][100/2353] lr: 1.828e-02, eta: 1 day, 4:10:23, time: 0.655, data_time: 0.212, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9888, loss_cls: 2.7044, loss: 2.7044 +2025-05-01 09:27:45,387 - pyskl - INFO - Epoch [53][200/2353] lr: 1.827e-02, eta: 1 day, 4:09:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9875, loss_cls: 2.8440, loss: 2.8440 +2025-05-01 09:28:29,417 - pyskl - INFO - Epoch [53][300/2353] lr: 1.826e-02, eta: 1 day, 4:08:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 2.5641, loss: 2.5641 +2025-05-01 09:29:13,505 - pyskl - INFO - Epoch [53][400/2353] lr: 1.825e-02, eta: 1 day, 4:08:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9875, loss_cls: 2.6948, loss: 2.6948 +2025-05-01 09:29:57,585 - pyskl - INFO - Epoch [53][500/2353] lr: 1.824e-02, eta: 1 day, 4:07:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9862, loss_cls: 2.8349, loss: 2.8349 +2025-05-01 09:30:41,562 - pyskl - INFO - Epoch [53][600/2353] lr: 1.823e-02, eta: 1 day, 4:06:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9788, loss_cls: 2.7427, loss: 2.7427 +2025-05-01 09:31:25,607 - pyskl - INFO - Epoch [53][700/2353] lr: 1.822e-02, eta: 1 day, 4:06:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 2.7986, loss: 2.7986 +2025-05-01 09:32:09,953 - pyskl - INFO - Epoch [53][800/2353] lr: 1.821e-02, eta: 1 day, 4:05:16, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9869, loss_cls: 2.8120, loss: 2.8120 +2025-05-01 09:32:54,166 - pyskl - INFO - Epoch [53][900/2353] lr: 1.820e-02, eta: 1 day, 4:04:33, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9812, loss_cls: 2.7396, loss: 2.7396 +2025-05-01 09:33:38,505 - pyskl - INFO - Epoch [53][1000/2353] lr: 1.819e-02, eta: 1 day, 4:03:49, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9856, loss_cls: 2.6951, loss: 2.6951 +2025-05-01 09:34:22,562 - pyskl - INFO - Epoch [53][1100/2353] lr: 1.818e-02, eta: 1 day, 4:03:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 2.7330, loss: 2.7330 +2025-05-01 09:35:06,768 - pyskl - INFO - Epoch [53][1200/2353] lr: 1.817e-02, eta: 1 day, 4:02:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 2.7028, loss: 2.7028 +2025-05-01 09:35:50,751 - pyskl - INFO - Epoch [53][1300/2353] lr: 1.816e-02, eta: 1 day, 4:01:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9812, loss_cls: 2.7783, loss: 2.7783 +2025-05-01 09:36:34,717 - pyskl - INFO - Epoch [53][1400/2353] lr: 1.815e-02, eta: 1 day, 4:00:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9900, loss_cls: 2.7663, loss: 2.7663 +2025-05-01 09:37:18,754 - pyskl - INFO - Epoch [53][1500/2353] lr: 1.814e-02, eta: 1 day, 4:00:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9825, loss_cls: 2.7744, loss: 2.7744 +2025-05-01 09:38:02,737 - pyskl - INFO - Epoch [53][1600/2353] lr: 1.813e-02, eta: 1 day, 3:59:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9781, loss_cls: 2.9045, loss: 2.9045 +2025-05-01 09:38:46,686 - pyskl - INFO - Epoch [53][1700/2353] lr: 1.812e-02, eta: 1 day, 3:58:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9844, loss_cls: 2.7961, loss: 2.7961 +2025-05-01 09:39:30,741 - pyskl - INFO - Epoch [53][1800/2353] lr: 1.811e-02, eta: 1 day, 3:57:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9844, loss_cls: 2.8238, loss: 2.8238 +2025-05-01 09:40:14,799 - pyskl - INFO - Epoch [53][1900/2353] lr: 1.810e-02, eta: 1 day, 3:57:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9794, loss_cls: 2.8695, loss: 2.8695 +2025-05-01 09:40:58,867 - pyskl - INFO - Epoch [53][2000/2353] lr: 1.809e-02, eta: 1 day, 3:56:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9788, loss_cls: 2.8545, loss: 2.8545 +2025-05-01 09:41:42,973 - pyskl - INFO - Epoch [53][2100/2353] lr: 1.808e-02, eta: 1 day, 3:55:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9850, loss_cls: 2.9349, loss: 2.9349 +2025-05-01 09:42:27,048 - pyskl - INFO - Epoch [53][2200/2353] lr: 1.807e-02, eta: 1 day, 3:55:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9794, loss_cls: 2.9075, loss: 2.9075 +2025-05-01 09:43:11,143 - pyskl - INFO - Epoch [53][2300/2353] lr: 1.806e-02, eta: 1 day, 3:54:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 2.7981, loss: 2.7981 +2025-05-01 09:43:35,159 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-05-01 09:45:04,942 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 09:45:05,018 - pyskl - INFO - +top1_acc 0.8712 +top5_acc 0.9866 +2025-05-01 09:45:05,021 - pyskl - INFO - Epoch(val) [53][1184] top1_acc: 0.8712, top5_acc: 0.9866 +2025-05-01 09:46:10,392 - pyskl - INFO - Epoch [54][100/2353] lr: 1.805e-02, eta: 1 day, 3:53:07, time: 0.654, data_time: 0.213, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 2.7748, loss: 2.7748 +2025-05-01 09:46:54,453 - pyskl - INFO - Epoch [54][200/2353] lr: 1.804e-02, eta: 1 day, 3:52:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9869, loss_cls: 2.6635, loss: 2.6635 +2025-05-01 09:47:38,487 - pyskl - INFO - Epoch [54][300/2353] lr: 1.803e-02, eta: 1 day, 3:51:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9831, loss_cls: 2.9337, loss: 2.9337 +2025-05-01 09:48:22,507 - pyskl - INFO - Epoch [54][400/2353] lr: 1.802e-02, eta: 1 day, 3:50:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 2.8648, loss: 2.8648 +2025-05-01 09:49:06,408 - pyskl - INFO - Epoch [54][500/2353] lr: 1.801e-02, eta: 1 day, 3:50:11, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 2.7765, loss: 2.7765 +2025-05-01 09:49:50,372 - pyskl - INFO - Epoch [54][600/2353] lr: 1.800e-02, eta: 1 day, 3:49:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 2.9322, loss: 2.9322 +2025-05-01 09:50:34,436 - pyskl - INFO - Epoch [54][700/2353] lr: 1.799e-02, eta: 1 day, 3:48:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 2.8094, loss: 2.8094 +2025-05-01 09:51:18,462 - pyskl - INFO - Epoch [54][800/2353] lr: 1.798e-02, eta: 1 day, 3:47:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9825, loss_cls: 2.7266, loss: 2.7266 +2025-05-01 09:52:02,463 - pyskl - INFO - Epoch [54][900/2353] lr: 1.797e-02, eta: 1 day, 3:47:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9819, loss_cls: 2.7509, loss: 2.7509 +2025-05-01 09:52:46,506 - pyskl - INFO - Epoch [54][1000/2353] lr: 1.796e-02, eta: 1 day, 3:46:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 2.6602, loss: 2.6602 +2025-05-01 09:53:30,507 - pyskl - INFO - Epoch [54][1100/2353] lr: 1.795e-02, eta: 1 day, 3:45:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9775, loss_cls: 2.8469, loss: 2.8469 +2025-05-01 09:54:14,524 - pyskl - INFO - Epoch [54][1200/2353] lr: 1.794e-02, eta: 1 day, 3:45:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9906, loss_cls: 2.7088, loss: 2.7088 +2025-05-01 09:54:58,622 - pyskl - INFO - Epoch [54][1300/2353] lr: 1.793e-02, eta: 1 day, 3:44:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9838, loss_cls: 2.7909, loss: 2.7909 +2025-05-01 09:55:42,595 - pyskl - INFO - Epoch [54][1400/2353] lr: 1.792e-02, eta: 1 day, 3:43:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9906, loss_cls: 2.6220, loss: 2.6220 +2025-05-01 09:56:26,563 - pyskl - INFO - Epoch [54][1500/2353] lr: 1.791e-02, eta: 1 day, 3:42:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9819, loss_cls: 2.8704, loss: 2.8704 +2025-05-01 09:57:10,481 - pyskl - INFO - Epoch [54][1600/2353] lr: 1.790e-02, eta: 1 day, 3:42:07, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9894, loss_cls: 2.7909, loss: 2.7909 +2025-05-01 09:57:54,487 - pyskl - INFO - Epoch [54][1700/2353] lr: 1.789e-02, eta: 1 day, 3:41:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9819, loss_cls: 2.6966, loss: 2.6966 +2025-05-01 09:58:38,506 - pyskl - INFO - Epoch [54][1800/2353] lr: 1.788e-02, eta: 1 day, 3:40:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9844, loss_cls: 2.7809, loss: 2.7809 +2025-05-01 09:59:22,534 - pyskl - INFO - Epoch [54][1900/2353] lr: 1.787e-02, eta: 1 day, 3:39:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9850, loss_cls: 2.7701, loss: 2.7701 +2025-05-01 10:00:06,572 - pyskl - INFO - Epoch [54][2000/2353] lr: 1.786e-02, eta: 1 day, 3:39:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9788, loss_cls: 2.9971, loss: 2.9971 +2025-05-01 10:00:50,518 - pyskl - INFO - Epoch [54][2100/2353] lr: 1.785e-02, eta: 1 day, 3:38:27, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9788, loss_cls: 2.8626, loss: 2.8626 +2025-05-01 10:01:34,556 - pyskl - INFO - Epoch [54][2200/2353] lr: 1.784e-02, eta: 1 day, 3:37:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9812, loss_cls: 2.9031, loss: 2.9031 +2025-05-01 10:02:18,678 - pyskl - INFO - Epoch [54][2300/2353] lr: 1.783e-02, eta: 1 day, 3:37:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9812, loss_cls: 2.8253, loss: 2.8253 +2025-05-01 10:02:42,805 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-05-01 10:04:12,847 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 10:04:12,924 - pyskl - INFO - +top1_acc 0.8676 +top5_acc 0.9852 +2025-05-01 10:04:12,927 - pyskl - INFO - Epoch(val) [54][1184] top1_acc: 0.8676, top5_acc: 0.9852 +2025-05-01 10:05:18,206 - pyskl - INFO - Epoch [55][100/2353] lr: 1.781e-02, eta: 1 day, 3:35:49, time: 0.653, data_time: 0.213, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 2.8005, loss: 2.8005 +2025-05-01 10:06:02,325 - pyskl - INFO - Epoch [55][200/2353] lr: 1.780e-02, eta: 1 day, 3:35:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 2.7295, loss: 2.7295 +2025-05-01 10:06:46,439 - pyskl - INFO - Epoch [55][300/2353] lr: 1.779e-02, eta: 1 day, 3:34:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9812, loss_cls: 2.6886, loss: 2.6886 +2025-05-01 10:07:30,515 - pyskl - INFO - Epoch [55][400/2353] lr: 1.778e-02, eta: 1 day, 3:33:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9862, loss_cls: 2.6697, loss: 2.6697 +2025-05-01 10:08:14,609 - pyskl - INFO - Epoch [55][500/2353] lr: 1.777e-02, eta: 1 day, 3:32:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9875, loss_cls: 2.7411, loss: 2.7411 +2025-05-01 10:08:58,759 - pyskl - INFO - Epoch [55][600/2353] lr: 1.776e-02, eta: 1 day, 3:32:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 2.7749, loss: 2.7749 +2025-05-01 10:09:42,757 - pyskl - INFO - Epoch [55][700/2353] lr: 1.775e-02, eta: 1 day, 3:31:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 2.8086, loss: 2.8086 +2025-05-01 10:10:26,955 - pyskl - INFO - Epoch [55][800/2353] lr: 1.774e-02, eta: 1 day, 3:30:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9838, loss_cls: 2.7903, loss: 2.7903 +2025-05-01 10:11:11,153 - pyskl - INFO - Epoch [55][900/2353] lr: 1.773e-02, eta: 1 day, 3:29:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9869, loss_cls: 2.7078, loss: 2.7078 +2025-05-01 10:11:55,174 - pyskl - INFO - Epoch [55][1000/2353] lr: 1.772e-02, eta: 1 day, 3:29:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9781, loss_cls: 2.8148, loss: 2.8148 +2025-05-01 10:12:39,185 - pyskl - INFO - Epoch [55][1100/2353] lr: 1.771e-02, eta: 1 day, 3:28:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 2.7422, loss: 2.7422 +2025-05-01 10:13:23,361 - pyskl - INFO - Epoch [55][1200/2353] lr: 1.770e-02, eta: 1 day, 3:27:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9831, loss_cls: 2.7047, loss: 2.7047 +2025-05-01 10:14:07,466 - pyskl - INFO - Epoch [55][1300/2353] lr: 1.769e-02, eta: 1 day, 3:27:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9806, loss_cls: 2.8591, loss: 2.8591 +2025-05-01 10:14:51,627 - pyskl - INFO - Epoch [55][1400/2353] lr: 1.768e-02, eta: 1 day, 3:26:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9806, loss_cls: 2.8452, loss: 2.8452 +2025-05-01 10:15:35,694 - pyskl - INFO - Epoch [55][1500/2353] lr: 1.767e-02, eta: 1 day, 3:25:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9900, loss_cls: 2.6333, loss: 2.6333 +2025-05-01 10:16:19,794 - pyskl - INFO - Epoch [55][1600/2353] lr: 1.766e-02, eta: 1 day, 3:24:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9831, loss_cls: 2.8399, loss: 2.8399 +2025-05-01 10:17:03,855 - pyskl - INFO - Epoch [55][1700/2353] lr: 1.765e-02, eta: 1 day, 3:24:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9781, loss_cls: 2.7862, loss: 2.7862 +2025-05-01 10:17:47,970 - pyskl - INFO - Epoch [55][1800/2353] lr: 1.764e-02, eta: 1 day, 3:23:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 2.6355, loss: 2.6355 +2025-05-01 10:18:32,119 - pyskl - INFO - Epoch [55][1900/2353] lr: 1.763e-02, eta: 1 day, 3:22:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9888, loss_cls: 2.6878, loss: 2.6878 +2025-05-01 10:19:16,306 - pyskl - INFO - Epoch [55][2000/2353] lr: 1.762e-02, eta: 1 day, 3:21:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9869, loss_cls: 2.7288, loss: 2.7288 +2025-05-01 10:20:00,359 - pyskl - INFO - Epoch [55][2100/2353] lr: 1.761e-02, eta: 1 day, 3:21:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9862, loss_cls: 2.8213, loss: 2.8213 +2025-05-01 10:20:44,537 - pyskl - INFO - Epoch [55][2200/2353] lr: 1.760e-02, eta: 1 day, 3:20:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 2.7413, loss: 2.7413 +2025-05-01 10:21:28,604 - pyskl - INFO - Epoch [55][2300/2353] lr: 1.759e-02, eta: 1 day, 3:19:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9894, loss_cls: 2.7190, loss: 2.7190 +2025-05-01 10:21:52,673 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-05-01 10:23:22,876 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 10:23:22,951 - pyskl - INFO - +top1_acc 0.8631 +top5_acc 0.9872 +2025-05-01 10:23:22,955 - pyskl - INFO - Epoch(val) [55][1184] top1_acc: 0.8631, top5_acc: 0.9872 +2025-05-01 10:24:28,554 - pyskl - INFO - Epoch [56][100/2353] lr: 1.757e-02, eta: 1 day, 3:18:35, time: 0.656, data_time: 0.216, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9888, loss_cls: 2.7128, loss: 2.7128 +2025-05-01 10:25:12,568 - pyskl - INFO - Epoch [56][200/2353] lr: 1.756e-02, eta: 1 day, 3:17:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 2.7092, loss: 2.7092 +2025-05-01 10:25:56,430 - pyskl - INFO - Epoch [56][300/2353] lr: 1.755e-02, eta: 1 day, 3:17:06, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9862, loss_cls: 2.6985, loss: 2.6985 +2025-05-01 10:26:40,405 - pyskl - INFO - Epoch [56][400/2353] lr: 1.754e-02, eta: 1 day, 3:16:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9894, loss_cls: 2.6855, loss: 2.6855 +2025-05-01 10:27:24,472 - pyskl - INFO - Epoch [56][500/2353] lr: 1.753e-02, eta: 1 day, 3:15:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 2.6501, loss: 2.6501 +2025-05-01 10:28:08,618 - pyskl - INFO - Epoch [56][600/2353] lr: 1.752e-02, eta: 1 day, 3:14:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9888, loss_cls: 2.6307, loss: 2.6307 +2025-05-01 10:28:52,725 - pyskl - INFO - Epoch [56][700/2353] lr: 1.751e-02, eta: 1 day, 3:14:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 2.7302, loss: 2.7302 +2025-05-01 10:29:36,692 - pyskl - INFO - Epoch [56][800/2353] lr: 1.750e-02, eta: 1 day, 3:13:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9850, loss_cls: 2.7001, loss: 2.7001 +2025-05-01 10:30:20,891 - pyskl - INFO - Epoch [56][900/2353] lr: 1.749e-02, eta: 1 day, 3:12:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9856, loss_cls: 2.7850, loss: 2.7850 +2025-05-01 10:31:04,916 - pyskl - INFO - Epoch [56][1000/2353] lr: 1.748e-02, eta: 1 day, 3:11:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9819, loss_cls: 2.7955, loss: 2.7955 +2025-05-01 10:31:48,820 - pyskl - INFO - Epoch [56][1100/2353] lr: 1.747e-02, eta: 1 day, 3:11:15, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9838, loss_cls: 2.8591, loss: 2.8591 +2025-05-01 10:32:32,768 - pyskl - INFO - Epoch [56][1200/2353] lr: 1.746e-02, eta: 1 day, 3:10:31, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 2.8514, loss: 2.8514 +2025-05-01 10:33:16,832 - pyskl - INFO - Epoch [56][1300/2353] lr: 1.745e-02, eta: 1 day, 3:09:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9825, loss_cls: 2.7960, loss: 2.7960 +2025-05-01 10:34:00,730 - pyskl - INFO - Epoch [56][1400/2353] lr: 1.744e-02, eta: 1 day, 3:09:03, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9781, loss_cls: 2.7945, loss: 2.7945 +2025-05-01 10:34:44,718 - pyskl - INFO - Epoch [56][1500/2353] lr: 1.743e-02, eta: 1 day, 3:08:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 2.7074, loss: 2.7074 +2025-05-01 10:35:28,700 - pyskl - INFO - Epoch [56][1600/2353] lr: 1.742e-02, eta: 1 day, 3:07:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 2.8224, loss: 2.8224 +2025-05-01 10:36:12,672 - pyskl - INFO - Epoch [56][1700/2353] lr: 1.741e-02, eta: 1 day, 3:06:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9881, loss_cls: 2.8017, loss: 2.8017 +2025-05-01 10:36:56,672 - pyskl - INFO - Epoch [56][1800/2353] lr: 1.740e-02, eta: 1 day, 3:06:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9794, loss_cls: 2.8107, loss: 2.8107 +2025-05-01 10:37:40,629 - pyskl - INFO - Epoch [56][1900/2353] lr: 1.739e-02, eta: 1 day, 3:05:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9788, loss_cls: 2.9166, loss: 2.9166 +2025-05-01 10:38:24,565 - pyskl - INFO - Epoch [56][2000/2353] lr: 1.738e-02, eta: 1 day, 3:04:38, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 2.7605, loss: 2.7605 +2025-05-01 10:39:08,495 - pyskl - INFO - Epoch [56][2100/2353] lr: 1.737e-02, eta: 1 day, 3:03:54, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9825, loss_cls: 2.7410, loss: 2.7410 +2025-05-01 10:39:52,677 - pyskl - INFO - Epoch [56][2200/2353] lr: 1.736e-02, eta: 1 day, 3:03:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 2.6975, loss: 2.6975 +2025-05-01 10:40:36,850 - pyskl - INFO - Epoch [56][2300/2353] lr: 1.735e-02, eta: 1 day, 3:02:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9806, loss_cls: 2.8077, loss: 2.8077 +2025-05-01 10:41:00,813 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-05-01 10:42:30,575 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 10:42:30,651 - pyskl - INFO - +top1_acc 0.8450 +top5_acc 0.9837 +2025-05-01 10:42:30,654 - pyskl - INFO - Epoch(val) [56][1184] top1_acc: 0.8450, top5_acc: 0.9837 +2025-05-01 10:43:35,638 - pyskl - INFO - Epoch [57][100/2353] lr: 1.733e-02, eta: 1 day, 3:01:16, time: 0.650, data_time: 0.208, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 2.7702, loss: 2.7702 +2025-05-01 10:44:19,539 - pyskl - INFO - Epoch [57][200/2353] lr: 1.732e-02, eta: 1 day, 3:00:31, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 2.5144, loss: 2.5144 +2025-05-01 10:45:03,479 - pyskl - INFO - Epoch [57][300/2353] lr: 1.731e-02, eta: 1 day, 2:59:47, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 2.6709, loss: 2.6709 +2025-05-01 10:45:47,530 - pyskl - INFO - Epoch [57][400/2353] lr: 1.730e-02, eta: 1 day, 2:59:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9875, loss_cls: 2.6666, loss: 2.6666 +2025-05-01 10:46:31,778 - pyskl - INFO - Epoch [57][500/2353] lr: 1.729e-02, eta: 1 day, 2:58:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9831, loss_cls: 2.8505, loss: 2.8505 +2025-05-01 10:47:15,969 - pyskl - INFO - Epoch [57][600/2353] lr: 1.728e-02, eta: 1 day, 2:57:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9906, loss_cls: 2.6366, loss: 2.6366 +2025-05-01 10:48:00,228 - pyskl - INFO - Epoch [57][700/2353] lr: 1.727e-02, eta: 1 day, 2:56:53, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 2.7601, loss: 2.7601 +2025-05-01 10:48:44,361 - pyskl - INFO - Epoch [57][800/2353] lr: 1.726e-02, eta: 1 day, 2:56:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9838, loss_cls: 2.7525, loss: 2.7525 +2025-05-01 10:49:28,532 - pyskl - INFO - Epoch [57][900/2353] lr: 1.725e-02, eta: 1 day, 2:55:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 2.7294, loss: 2.7294 +2025-05-01 10:50:12,700 - pyskl - INFO - Epoch [57][1000/2353] lr: 1.724e-02, eta: 1 day, 2:54:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 2.7153, loss: 2.7153 +2025-05-01 10:50:56,808 - pyskl - INFO - Epoch [57][1100/2353] lr: 1.723e-02, eta: 1 day, 2:53:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 2.8155, loss: 2.8155 +2025-05-01 10:51:40,856 - pyskl - INFO - Epoch [57][1200/2353] lr: 1.722e-02, eta: 1 day, 2:53:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9850, loss_cls: 2.6336, loss: 2.6336 +2025-05-01 10:52:24,964 - pyskl - INFO - Epoch [57][1300/2353] lr: 1.721e-02, eta: 1 day, 2:52:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9862, loss_cls: 2.7817, loss: 2.7817 +2025-05-01 10:53:09,071 - pyskl - INFO - Epoch [57][1400/2353] lr: 1.720e-02, eta: 1 day, 2:51:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9844, loss_cls: 2.7726, loss: 2.7726 +2025-05-01 10:53:53,168 - pyskl - INFO - Epoch [57][1500/2353] lr: 1.719e-02, eta: 1 day, 2:51:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 2.8676, loss: 2.8676 +2025-05-01 10:54:37,314 - pyskl - INFO - Epoch [57][1600/2353] lr: 1.718e-02, eta: 1 day, 2:50:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9881, loss_cls: 2.7579, loss: 2.7579 +2025-05-01 10:55:21,396 - pyskl - INFO - Epoch [57][1700/2353] lr: 1.717e-02, eta: 1 day, 2:49:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9856, loss_cls: 2.8350, loss: 2.8350 +2025-05-01 10:56:05,471 - pyskl - INFO - Epoch [57][1800/2353] lr: 1.716e-02, eta: 1 day, 2:48:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9819, loss_cls: 2.7623, loss: 2.7623 +2025-05-01 10:56:49,508 - pyskl - INFO - Epoch [57][1900/2353] lr: 1.715e-02, eta: 1 day, 2:48:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9825, loss_cls: 2.6602, loss: 2.6602 +2025-05-01 10:57:33,547 - pyskl - INFO - Epoch [57][2000/2353] lr: 1.714e-02, eta: 1 day, 2:47:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9838, loss_cls: 2.6559, loss: 2.6559 +2025-05-01 10:58:17,543 - pyskl - INFO - Epoch [57][2100/2353] lr: 1.713e-02, eta: 1 day, 2:46:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9831, loss_cls: 2.7119, loss: 2.7119 +2025-05-01 10:59:01,534 - pyskl - INFO - Epoch [57][2200/2353] lr: 1.712e-02, eta: 1 day, 2:45:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9825, loss_cls: 2.7198, loss: 2.7198 +2025-05-01 10:59:45,567 - pyskl - INFO - Epoch [57][2300/2353] lr: 1.711e-02, eta: 1 day, 2:45:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9862, loss_cls: 2.6872, loss: 2.6872 +2025-05-01 11:00:09,640 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-05-01 11:01:39,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 11:01:39,752 - pyskl - INFO - +top1_acc 0.8677 +top5_acc 0.9870 +2025-05-01 11:01:39,755 - pyskl - INFO - Epoch(val) [57][1184] top1_acc: 0.8677, top5_acc: 0.9870 +2025-05-01 11:02:44,991 - pyskl - INFO - Epoch [58][100/2353] lr: 1.709e-02, eta: 1 day, 2:44:00, time: 0.652, data_time: 0.213, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 2.6451, loss: 2.6451 +2025-05-01 11:03:28,911 - pyskl - INFO - Epoch [58][200/2353] lr: 1.708e-02, eta: 1 day, 2:43:16, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 2.7308, loss: 2.7308 +2025-05-01 11:04:12,951 - pyskl - INFO - Epoch [58][300/2353] lr: 1.707e-02, eta: 1 day, 2:42:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 2.7010, loss: 2.7010 +2025-05-01 11:04:57,069 - pyskl - INFO - Epoch [58][400/2353] lr: 1.706e-02, eta: 1 day, 2:41:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9894, loss_cls: 2.6699, loss: 2.6699 +2025-05-01 11:05:41,193 - pyskl - INFO - Epoch [58][500/2353] lr: 1.705e-02, eta: 1 day, 2:41:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9806, loss_cls: 2.8054, loss: 2.8054 +2025-05-01 11:06:25,350 - pyskl - INFO - Epoch [58][600/2353] lr: 1.704e-02, eta: 1 day, 2:40:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9850, loss_cls: 2.7434, loss: 2.7434 +2025-05-01 11:07:09,430 - pyskl - INFO - Epoch [58][700/2353] lr: 1.703e-02, eta: 1 day, 2:39:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9906, loss_cls: 2.6612, loss: 2.6612 +2025-05-01 11:07:53,445 - pyskl - INFO - Epoch [58][800/2353] lr: 1.702e-02, eta: 1 day, 2:38:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9825, loss_cls: 2.7941, loss: 2.7941 +2025-05-01 11:08:37,498 - pyskl - INFO - Epoch [58][900/2353] lr: 1.701e-02, eta: 1 day, 2:38:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 2.5709, loss: 2.5709 +2025-05-01 11:09:21,558 - pyskl - INFO - Epoch [58][1000/2353] lr: 1.700e-02, eta: 1 day, 2:37:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9812, loss_cls: 2.7748, loss: 2.7748 +2025-05-01 11:10:05,602 - pyskl - INFO - Epoch [58][1100/2353] lr: 1.699e-02, eta: 1 day, 2:36:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 2.7979, loss: 2.7979 +2025-05-01 11:10:49,631 - pyskl - INFO - Epoch [58][1200/2353] lr: 1.698e-02, eta: 1 day, 2:35:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 2.7234, loss: 2.7234 +2025-05-01 11:11:33,637 - pyskl - INFO - Epoch [58][1300/2353] lr: 1.697e-02, eta: 1 day, 2:35:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9850, loss_cls: 2.7712, loss: 2.7712 +2025-05-01 11:12:17,762 - pyskl - INFO - Epoch [58][1400/2353] lr: 1.696e-02, eta: 1 day, 2:34:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9869, loss_cls: 2.7510, loss: 2.7510 +2025-05-01 11:13:01,715 - pyskl - INFO - Epoch [58][1500/2353] lr: 1.695e-02, eta: 1 day, 2:33:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9794, loss_cls: 2.7741, loss: 2.7741 +2025-05-01 11:13:45,669 - pyskl - INFO - Epoch [58][1600/2353] lr: 1.694e-02, eta: 1 day, 2:33:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9825, loss_cls: 2.8807, loss: 2.8807 +2025-05-01 11:14:29,612 - pyskl - INFO - Epoch [58][1700/2353] lr: 1.693e-02, eta: 1 day, 2:32:17, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9838, loss_cls: 2.7385, loss: 2.7385 +2025-05-01 11:15:13,521 - pyskl - INFO - Epoch [58][1800/2353] lr: 1.691e-02, eta: 1 day, 2:31:33, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9869, loss_cls: 2.8354, loss: 2.8354 +2025-05-01 11:15:57,490 - pyskl - INFO - Epoch [58][1900/2353] lr: 1.690e-02, eta: 1 day, 2:30:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9812, loss_cls: 2.8544, loss: 2.8544 +2025-05-01 11:16:41,513 - pyskl - INFO - Epoch [58][2000/2353] lr: 1.689e-02, eta: 1 day, 2:30:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9856, loss_cls: 2.7717, loss: 2.7717 +2025-05-01 11:17:25,414 - pyskl - INFO - Epoch [58][2100/2353] lr: 1.688e-02, eta: 1 day, 2:29:21, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9844, loss_cls: 2.8253, loss: 2.8253 +2025-05-01 11:18:09,459 - pyskl - INFO - Epoch [58][2200/2353] lr: 1.687e-02, eta: 1 day, 2:28:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9838, loss_cls: 2.8549, loss: 2.8549 +2025-05-01 11:18:53,513 - pyskl - INFO - Epoch [58][2300/2353] lr: 1.686e-02, eta: 1 day, 2:27:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9844, loss_cls: 2.7733, loss: 2.7733 +2025-05-01 11:19:17,431 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-05-01 11:20:47,525 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 11:20:47,601 - pyskl - INFO - +top1_acc 0.8906 +top5_acc 0.9896 +2025-05-01 11:20:47,662 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_48.pth was removed +2025-05-01 11:20:48,822 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_58.pth. +2025-05-01 11:20:48,823 - pyskl - INFO - Best top1_acc is 0.8906 at 58 epoch. +2025-05-01 11:20:48,827 - pyskl - INFO - Epoch(val) [58][1184] top1_acc: 0.8906, top5_acc: 0.9896 +2025-05-01 11:21:54,232 - pyskl - INFO - Epoch [59][100/2353] lr: 1.685e-02, eta: 1 day, 2:26:42, time: 0.654, data_time: 0.215, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 2.5955, loss: 2.5955 +2025-05-01 11:22:38,298 - pyskl - INFO - Epoch [59][200/2353] lr: 1.684e-02, eta: 1 day, 2:25:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9875, loss_cls: 2.7440, loss: 2.7440 +2025-05-01 11:23:22,359 - pyskl - INFO - Epoch [59][300/2353] lr: 1.683e-02, eta: 1 day, 2:25:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 2.7235, loss: 2.7235 +2025-05-01 11:24:06,460 - pyskl - INFO - Epoch [59][400/2353] lr: 1.682e-02, eta: 1 day, 2:24:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 2.6914, loss: 2.6914 +2025-05-01 11:24:50,690 - pyskl - INFO - Epoch [59][500/2353] lr: 1.681e-02, eta: 1 day, 2:23:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9894, loss_cls: 2.7375, loss: 2.7375 +2025-05-01 11:25:34,807 - pyskl - INFO - Epoch [59][600/2353] lr: 1.679e-02, eta: 1 day, 2:23:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 2.8192, loss: 2.8192 +2025-05-01 11:26:18,827 - pyskl - INFO - Epoch [59][700/2353] lr: 1.678e-02, eta: 1 day, 2:22:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 2.6207, loss: 2.6207 +2025-05-01 11:27:02,923 - pyskl - INFO - Epoch [59][800/2353] lr: 1.677e-02, eta: 1 day, 2:21:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 2.6042, loss: 2.6042 +2025-05-01 11:27:47,137 - pyskl - INFO - Epoch [59][900/2353] lr: 1.676e-02, eta: 1 day, 2:20:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 2.7693, loss: 2.7693 +2025-05-01 11:28:31,272 - pyskl - INFO - Epoch [59][1000/2353] lr: 1.675e-02, eta: 1 day, 2:20:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9812, loss_cls: 2.7828, loss: 2.7828 +2025-05-01 11:29:15,398 - pyskl - INFO - Epoch [59][1100/2353] lr: 1.674e-02, eta: 1 day, 2:19:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9819, loss_cls: 2.7975, loss: 2.7975 +2025-05-01 11:29:59,523 - pyskl - INFO - Epoch [59][1200/2353] lr: 1.673e-02, eta: 1 day, 2:18:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9869, loss_cls: 2.6985, loss: 2.6985 +2025-05-01 11:30:43,647 - pyskl - INFO - Epoch [59][1300/2353] lr: 1.672e-02, eta: 1 day, 2:17:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 2.7167, loss: 2.7167 +2025-05-01 11:31:27,992 - pyskl - INFO - Epoch [59][1400/2353] lr: 1.671e-02, eta: 1 day, 2:17:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 2.5823, loss: 2.5823 +2025-05-01 11:32:12,018 - pyskl - INFO - Epoch [59][1500/2353] lr: 1.670e-02, eta: 1 day, 2:16:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 2.6780, loss: 2.6780 +2025-05-01 11:32:56,078 - pyskl - INFO - Epoch [59][1600/2353] lr: 1.669e-02, eta: 1 day, 2:15:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9850, loss_cls: 2.7047, loss: 2.7047 +2025-05-01 11:33:40,210 - pyskl - INFO - Epoch [59][1700/2353] lr: 1.668e-02, eta: 1 day, 2:15:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9812, loss_cls: 2.7638, loss: 2.7638 +2025-05-01 11:34:24,318 - pyskl - INFO - Epoch [59][1800/2353] lr: 1.667e-02, eta: 1 day, 2:14:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 2.7175, loss: 2.7175 +2025-05-01 11:35:08,540 - pyskl - INFO - Epoch [59][1900/2353] lr: 1.666e-02, eta: 1 day, 2:13:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 2.7078, loss: 2.7078 +2025-05-01 11:35:52,650 - pyskl - INFO - Epoch [59][2000/2353] lr: 1.665e-02, eta: 1 day, 2:12:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9806, loss_cls: 2.7312, loss: 2.7312 +2025-05-01 11:36:36,739 - pyskl - INFO - Epoch [59][2100/2353] lr: 1.664e-02, eta: 1 day, 2:12:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9869, loss_cls: 2.6611, loss: 2.6611 +2025-05-01 11:37:20,851 - pyskl - INFO - Epoch [59][2200/2353] lr: 1.663e-02, eta: 1 day, 2:11:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9800, loss_cls: 2.8661, loss: 2.8661 +2025-05-01 11:38:04,927 - pyskl - INFO - Epoch [59][2300/2353] lr: 1.662e-02, eta: 1 day, 2:10:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 2.6931, loss: 2.6931 +2025-05-01 11:38:28,780 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-05-01 11:39:58,819 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 11:39:58,894 - pyskl - INFO - +top1_acc 0.8608 +top5_acc 0.9782 +2025-05-01 11:39:58,897 - pyskl - INFO - Epoch(val) [59][1184] top1_acc: 0.8608, top5_acc: 0.9782 +2025-05-01 11:41:04,642 - pyskl - INFO - Epoch [60][100/2353] lr: 1.660e-02, eta: 1 day, 2:09:29, time: 0.657, data_time: 0.217, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 2.6123, loss: 2.6123 +2025-05-01 11:41:48,633 - pyskl - INFO - Epoch [60][200/2353] lr: 1.659e-02, eta: 1 day, 2:08:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9888, loss_cls: 2.6723, loss: 2.6723 +2025-05-01 11:42:32,572 - pyskl - INFO - Epoch [60][300/2353] lr: 1.658e-02, eta: 1 day, 2:08:01, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 2.5404, loss: 2.5404 +2025-05-01 11:43:16,747 - pyskl - INFO - Epoch [60][400/2353] lr: 1.657e-02, eta: 1 day, 2:07:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9862, loss_cls: 2.5917, loss: 2.5917 +2025-05-01 11:44:00,972 - pyskl - INFO - Epoch [60][500/2353] lr: 1.656e-02, eta: 1 day, 2:06:33, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 2.7129, loss: 2.7129 +2025-05-01 11:44:45,182 - pyskl - INFO - Epoch [60][600/2353] lr: 1.655e-02, eta: 1 day, 2:05:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 2.7084, loss: 2.7084 +2025-05-01 11:45:29,331 - pyskl - INFO - Epoch [60][700/2353] lr: 1.654e-02, eta: 1 day, 2:05:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 2.5283, loss: 2.5283 +2025-05-01 11:46:13,451 - pyskl - INFO - Epoch [60][800/2353] lr: 1.653e-02, eta: 1 day, 2:04:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9906, loss_cls: 2.6070, loss: 2.6070 +2025-05-01 11:46:57,536 - pyskl - INFO - Epoch [60][900/2353] lr: 1.652e-02, eta: 1 day, 2:03:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9856, loss_cls: 2.7910, loss: 2.7910 +2025-05-01 11:47:41,470 - pyskl - INFO - Epoch [60][1000/2353] lr: 1.651e-02, eta: 1 day, 2:02:54, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9831, loss_cls: 2.7021, loss: 2.7021 +2025-05-01 11:48:25,602 - pyskl - INFO - Epoch [60][1100/2353] lr: 1.650e-02, eta: 1 day, 2:02:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9856, loss_cls: 2.7463, loss: 2.7463 +2025-05-01 11:49:09,633 - pyskl - INFO - Epoch [60][1200/2353] lr: 1.648e-02, eta: 1 day, 2:01:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 2.7516, loss: 2.7516 +2025-05-01 11:49:53,616 - pyskl - INFO - Epoch [60][1300/2353] lr: 1.647e-02, eta: 1 day, 2:00:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9825, loss_cls: 2.7800, loss: 2.7800 +2025-05-01 11:50:37,622 - pyskl - INFO - Epoch [60][1400/2353] lr: 1.646e-02, eta: 1 day, 1:59:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9869, loss_cls: 2.8660, loss: 2.8660 +2025-05-01 11:51:21,775 - pyskl - INFO - Epoch [60][1500/2353] lr: 1.645e-02, eta: 1 day, 1:59:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9881, loss_cls: 2.6835, loss: 2.6835 +2025-05-01 11:52:05,837 - pyskl - INFO - Epoch [60][1600/2353] lr: 1.644e-02, eta: 1 day, 1:58:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 2.6886, loss: 2.6886 +2025-05-01 11:52:49,864 - pyskl - INFO - Epoch [60][1700/2353] lr: 1.643e-02, eta: 1 day, 1:57:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 2.7527, loss: 2.7527 +2025-05-01 11:53:33,802 - pyskl - INFO - Epoch [60][1800/2353] lr: 1.642e-02, eta: 1 day, 1:57:03, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9819, loss_cls: 2.7754, loss: 2.7754 +2025-05-01 11:54:17,821 - pyskl - INFO - Epoch [60][1900/2353] lr: 1.641e-02, eta: 1 day, 1:56:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9856, loss_cls: 2.7378, loss: 2.7378 +2025-05-01 11:55:01,812 - pyskl - INFO - Epoch [60][2000/2353] lr: 1.640e-02, eta: 1 day, 1:55:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 2.8684, loss: 2.8684 +2025-05-01 11:55:45,876 - pyskl - INFO - Epoch [60][2100/2353] lr: 1.639e-02, eta: 1 day, 1:54:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9825, loss_cls: 2.7642, loss: 2.7642 +2025-05-01 11:56:29,919 - pyskl - INFO - Epoch [60][2200/2353] lr: 1.638e-02, eta: 1 day, 1:54:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9881, loss_cls: 2.7654, loss: 2.7654 +2025-05-01 11:57:14,074 - pyskl - INFO - Epoch [60][2300/2353] lr: 1.637e-02, eta: 1 day, 1:53:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9788, loss_cls: 2.6891, loss: 2.6891 +2025-05-01 11:57:38,101 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-05-01 11:59:07,785 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 11:59:07,861 - pyskl - INFO - +top1_acc 0.8758 +top5_acc 0.9883 +2025-05-01 11:59:07,865 - pyskl - INFO - Epoch(val) [60][1184] top1_acc: 0.8758, top5_acc: 0.9883 +2025-05-01 12:00:13,330 - pyskl - INFO - Epoch [61][100/2353] lr: 1.635e-02, eta: 1 day, 1:52:13, time: 0.655, data_time: 0.214, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 2.6105, loss: 2.6105 +2025-05-01 12:00:57,416 - pyskl - INFO - Epoch [61][200/2353] lr: 1.634e-02, eta: 1 day, 1:51:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9812, loss_cls: 2.6416, loss: 2.6416 +2025-05-01 12:01:41,486 - pyskl - INFO - Epoch [61][300/2353] lr: 1.633e-02, eta: 1 day, 1:50:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9844, loss_cls: 2.6935, loss: 2.6935 +2025-05-01 12:02:25,581 - pyskl - INFO - Epoch [61][400/2353] lr: 1.632e-02, eta: 1 day, 1:50:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 2.6094, loss: 2.6094 +2025-05-01 12:03:09,675 - pyskl - INFO - Epoch [61][500/2353] lr: 1.631e-02, eta: 1 day, 1:49:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9894, loss_cls: 2.6905, loss: 2.6905 +2025-05-01 12:03:53,764 - pyskl - INFO - Epoch [61][600/2353] lr: 1.630e-02, eta: 1 day, 1:48:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 2.5741, loss: 2.5741 +2025-05-01 12:04:37,670 - pyskl - INFO - Epoch [61][700/2353] lr: 1.629e-02, eta: 1 day, 1:47:49, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9906, loss_cls: 2.6718, loss: 2.6718 +2025-05-01 12:05:21,591 - pyskl - INFO - Epoch [61][800/2353] lr: 1.628e-02, eta: 1 day, 1:47:05, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9856, loss_cls: 2.6962, loss: 2.6962 +2025-05-01 12:06:05,598 - pyskl - INFO - Epoch [61][900/2353] lr: 1.627e-02, eta: 1 day, 1:46:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 2.5845, loss: 2.5845 +2025-05-01 12:06:49,662 - pyskl - INFO - Epoch [61][1000/2353] lr: 1.626e-02, eta: 1 day, 1:45:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 2.6239, loss: 2.6239 +2025-05-01 12:07:33,611 - pyskl - INFO - Epoch [61][1100/2353] lr: 1.625e-02, eta: 1 day, 1:44:53, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9831, loss_cls: 2.6936, loss: 2.6936 +2025-05-01 12:08:17,614 - pyskl - INFO - Epoch [61][1200/2353] lr: 1.624e-02, eta: 1 day, 1:44:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9819, loss_cls: 2.7828, loss: 2.7828 +2025-05-01 12:09:01,546 - pyskl - INFO - Epoch [61][1300/2353] lr: 1.623e-02, eta: 1 day, 1:43:25, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9900, loss_cls: 2.6968, loss: 2.6968 +2025-05-01 12:09:45,499 - pyskl - INFO - Epoch [61][1400/2353] lr: 1.621e-02, eta: 1 day, 1:42:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9888, loss_cls: 2.7141, loss: 2.7141 +2025-05-01 12:10:29,489 - pyskl - INFO - Epoch [61][1500/2353] lr: 1.620e-02, eta: 1 day, 1:41:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9869, loss_cls: 2.6378, loss: 2.6378 +2025-05-01 12:11:13,470 - pyskl - INFO - Epoch [61][1600/2353] lr: 1.619e-02, eta: 1 day, 1:41:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 2.6748, loss: 2.6748 +2025-05-01 12:11:57,436 - pyskl - INFO - Epoch [61][1700/2353] lr: 1.618e-02, eta: 1 day, 1:40:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 2.6819, loss: 2.6819 +2025-05-01 12:12:41,390 - pyskl - INFO - Epoch [61][1800/2353] lr: 1.617e-02, eta: 1 day, 1:39:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9800, loss_cls: 2.8154, loss: 2.8154 +2025-05-01 12:13:25,407 - pyskl - INFO - Epoch [61][1900/2353] lr: 1.616e-02, eta: 1 day, 1:39:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9875, loss_cls: 2.8101, loss: 2.8101 +2025-05-01 12:14:09,524 - pyskl - INFO - Epoch [61][2000/2353] lr: 1.615e-02, eta: 1 day, 1:38:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 2.7037, loss: 2.7037 +2025-05-01 12:14:53,622 - pyskl - INFO - Epoch [61][2100/2353] lr: 1.614e-02, eta: 1 day, 1:37:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9888, loss_cls: 2.7265, loss: 2.7265 +2025-05-01 12:15:37,737 - pyskl - INFO - Epoch [61][2200/2353] lr: 1.613e-02, eta: 1 day, 1:36:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 2.7430, loss: 2.7430 +2025-05-01 12:16:21,785 - pyskl - INFO - Epoch [61][2300/2353] lr: 1.612e-02, eta: 1 day, 1:36:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 2.7833, loss: 2.7833 +2025-05-01 12:16:45,643 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-05-01 12:18:15,622 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 12:18:15,697 - pyskl - INFO - +top1_acc 0.8834 +top5_acc 0.9889 +2025-05-01 12:18:15,700 - pyskl - INFO - Epoch(val) [61][1184] top1_acc: 0.8834, top5_acc: 0.9889 +2025-05-01 12:19:20,974 - pyskl - INFO - Epoch [62][100/2353] lr: 1.610e-02, eta: 1 day, 1:34:55, time: 0.653, data_time: 0.212, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 2.5670, loss: 2.5670 +2025-05-01 12:20:05,175 - pyskl - INFO - Epoch [62][200/2353] lr: 1.609e-02, eta: 1 day, 1:34:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9875, loss_cls: 2.6057, loss: 2.6057 +2025-05-01 12:20:49,252 - pyskl - INFO - Epoch [62][300/2353] lr: 1.608e-02, eta: 1 day, 1:33:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 2.7507, loss: 2.7507 +2025-05-01 12:21:33,375 - pyskl - INFO - Epoch [62][400/2353] lr: 1.607e-02, eta: 1 day, 1:32:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 2.6574, loss: 2.6574 +2025-05-01 12:22:17,465 - pyskl - INFO - Epoch [62][500/2353] lr: 1.606e-02, eta: 1 day, 1:32:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 2.6001, loss: 2.6001 +2025-05-01 12:23:01,559 - pyskl - INFO - Epoch [62][600/2353] lr: 1.605e-02, eta: 1 day, 1:31:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9862, loss_cls: 2.7002, loss: 2.7002 +2025-05-01 12:23:45,667 - pyskl - INFO - Epoch [62][700/2353] lr: 1.604e-02, eta: 1 day, 1:30:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 2.4773, loss: 2.4773 +2025-05-01 12:24:29,767 - pyskl - INFO - Epoch [62][800/2353] lr: 1.603e-02, eta: 1 day, 1:29:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9900, loss_cls: 2.6726, loss: 2.6726 +2025-05-01 12:25:13,908 - pyskl - INFO - Epoch [62][900/2353] lr: 1.602e-02, eta: 1 day, 1:29:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9869, loss_cls: 2.7586, loss: 2.7586 +2025-05-01 12:25:58,019 - pyskl - INFO - Epoch [62][1000/2353] lr: 1.601e-02, eta: 1 day, 1:28:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 2.5965, loss: 2.5965 +2025-05-01 12:26:42,195 - pyskl - INFO - Epoch [62][1100/2353] lr: 1.600e-02, eta: 1 day, 1:27:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9900, loss_cls: 2.6501, loss: 2.6501 +2025-05-01 12:27:26,283 - pyskl - INFO - Epoch [62][1200/2353] lr: 1.598e-02, eta: 1 day, 1:26:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9888, loss_cls: 2.6987, loss: 2.6987 +2025-05-01 12:28:10,220 - pyskl - INFO - Epoch [62][1300/2353] lr: 1.597e-02, eta: 1 day, 1:26:09, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9912, loss_cls: 2.6249, loss: 2.6249 +2025-05-01 12:28:54,379 - pyskl - INFO - Epoch [62][1400/2353] lr: 1.596e-02, eta: 1 day, 1:25:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 2.6062, loss: 2.6062 +2025-05-01 12:29:38,382 - pyskl - INFO - Epoch [62][1500/2353] lr: 1.595e-02, eta: 1 day, 1:24:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9875, loss_cls: 2.7305, loss: 2.7305 +2025-05-01 12:30:22,515 - pyskl - INFO - Epoch [62][1600/2353] lr: 1.594e-02, eta: 1 day, 1:23:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9825, loss_cls: 2.7279, loss: 2.7279 +2025-05-01 12:31:06,563 - pyskl - INFO - Epoch [62][1700/2353] lr: 1.593e-02, eta: 1 day, 1:23:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9781, loss_cls: 2.7860, loss: 2.7860 +2025-05-01 12:31:50,675 - pyskl - INFO - Epoch [62][1800/2353] lr: 1.592e-02, eta: 1 day, 1:22:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 2.8616, loss: 2.8616 +2025-05-01 12:32:34,908 - pyskl - INFO - Epoch [62][1900/2353] lr: 1.591e-02, eta: 1 day, 1:21:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9831, loss_cls: 2.6480, loss: 2.6480 +2025-05-01 12:33:19,141 - pyskl - INFO - Epoch [62][2000/2353] lr: 1.590e-02, eta: 1 day, 1:21:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9838, loss_cls: 2.7675, loss: 2.7675 +2025-05-01 12:34:03,367 - pyskl - INFO - Epoch [62][2100/2353] lr: 1.589e-02, eta: 1 day, 1:20:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 2.7083, loss: 2.7083 +2025-05-01 12:34:47,430 - pyskl - INFO - Epoch [62][2200/2353] lr: 1.588e-02, eta: 1 day, 1:19:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 2.6923, loss: 2.6923 +2025-05-01 12:35:31,551 - pyskl - INFO - Epoch [62][2300/2353] lr: 1.587e-02, eta: 1 day, 1:18:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 2.7073, loss: 2.7073 +2025-05-01 12:35:55,591 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-05-01 12:37:26,042 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 12:37:26,120 - pyskl - INFO - +top1_acc 0.8922 +top5_acc 0.9904 +2025-05-01 12:37:26,199 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_58.pth was removed +2025-05-01 12:37:27,779 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_62.pth. +2025-05-01 12:37:27,780 - pyskl - INFO - Best top1_acc is 0.8922 at 62 epoch. +2025-05-01 12:37:27,783 - pyskl - INFO - Epoch(val) [62][1184] top1_acc: 0.8922, top5_acc: 0.9904 +2025-05-01 12:38:33,895 - pyskl - INFO - Epoch [63][100/2353] lr: 1.585e-02, eta: 1 day, 1:17:42, time: 0.661, data_time: 0.219, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 2.5798, loss: 2.5798 +2025-05-01 12:39:18,122 - pyskl - INFO - Epoch [63][200/2353] lr: 1.584e-02, eta: 1 day, 1:16:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 2.5390, loss: 2.5390 +2025-05-01 12:40:02,084 - pyskl - INFO - Epoch [63][300/2353] lr: 1.583e-02, eta: 1 day, 1:16:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9862, loss_cls: 2.5478, loss: 2.5478 +2025-05-01 12:40:45,995 - pyskl - INFO - Epoch [63][400/2353] lr: 1.582e-02, eta: 1 day, 1:15:30, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 2.6731, loss: 2.6731 +2025-05-01 12:41:30,107 - pyskl - INFO - Epoch [63][500/2353] lr: 1.581e-02, eta: 1 day, 1:14:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9919, loss_cls: 2.5731, loss: 2.5731 +2025-05-01 12:42:14,173 - pyskl - INFO - Epoch [63][600/2353] lr: 1.580e-02, eta: 1 day, 1:14:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9888, loss_cls: 2.6138, loss: 2.6138 +2025-05-01 12:42:58,310 - pyskl - INFO - Epoch [63][700/2353] lr: 1.579e-02, eta: 1 day, 1:13:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9919, loss_cls: 2.6496, loss: 2.6496 +2025-05-01 12:43:42,480 - pyskl - INFO - Epoch [63][800/2353] lr: 1.578e-02, eta: 1 day, 1:12:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9856, loss_cls: 2.7699, loss: 2.7699 +2025-05-01 12:44:26,530 - pyskl - INFO - Epoch [63][900/2353] lr: 1.577e-02, eta: 1 day, 1:11:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9838, loss_cls: 2.7706, loss: 2.7706 +2025-05-01 12:45:10,720 - pyskl - INFO - Epoch [63][1000/2353] lr: 1.575e-02, eta: 1 day, 1:11:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 2.7055, loss: 2.7055 +2025-05-01 12:45:54,683 - pyskl - INFO - Epoch [63][1100/2353] lr: 1.574e-02, eta: 1 day, 1:10:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 2.6960, loss: 2.6960 +2025-05-01 12:46:38,711 - pyskl - INFO - Epoch [63][1200/2353] lr: 1.573e-02, eta: 1 day, 1:09:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9906, loss_cls: 2.7047, loss: 2.7047 +2025-05-01 12:47:22,773 - pyskl - INFO - Epoch [63][1300/2353] lr: 1.572e-02, eta: 1 day, 1:08:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 2.6760, loss: 2.6760 +2025-05-01 12:48:06,820 - pyskl - INFO - Epoch [63][1400/2353] lr: 1.571e-02, eta: 1 day, 1:08:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 2.6699, loss: 2.6699 +2025-05-01 12:48:50,823 - pyskl - INFO - Epoch [63][1500/2353] lr: 1.570e-02, eta: 1 day, 1:07:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 2.7672, loss: 2.7672 +2025-05-01 12:49:34,924 - pyskl - INFO - Epoch [63][1600/2353] lr: 1.569e-02, eta: 1 day, 1:06:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.6391, loss: 2.6391 +2025-05-01 12:50:18,976 - pyskl - INFO - Epoch [63][1700/2353] lr: 1.568e-02, eta: 1 day, 1:06:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 2.6003, loss: 2.6003 +2025-05-01 12:51:03,115 - pyskl - INFO - Epoch [63][1800/2353] lr: 1.567e-02, eta: 1 day, 1:05:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9850, loss_cls: 2.6011, loss: 2.6011 +2025-05-01 12:51:47,223 - pyskl - INFO - Epoch [63][1900/2353] lr: 1.566e-02, eta: 1 day, 1:04:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9881, loss_cls: 2.7235, loss: 2.7235 +2025-05-01 12:52:31,276 - pyskl - INFO - Epoch [63][2000/2353] lr: 1.565e-02, eta: 1 day, 1:03:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 2.6193, loss: 2.6193 +2025-05-01 12:53:15,165 - pyskl - INFO - Epoch [63][2100/2353] lr: 1.564e-02, eta: 1 day, 1:03:04, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.7388, loss: 2.7388 +2025-05-01 12:53:59,065 - pyskl - INFO - Epoch [63][2200/2353] lr: 1.563e-02, eta: 1 day, 1:02:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9919, loss_cls: 2.6868, loss: 2.6868 +2025-05-01 12:54:42,982 - pyskl - INFO - Epoch [63][2300/2353] lr: 1.561e-02, eta: 1 day, 1:01:36, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 2.6849, loss: 2.6849 +2025-05-01 12:55:06,927 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-05-01 12:56:37,528 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 12:56:37,604 - pyskl - INFO - +top1_acc 0.8809 +top5_acc 0.9880 +2025-05-01 12:56:37,608 - pyskl - INFO - Epoch(val) [63][1184] top1_acc: 0.8809, top5_acc: 0.9880 +2025-05-01 12:57:43,327 - pyskl - INFO - Epoch [64][100/2353] lr: 1.560e-02, eta: 1 day, 1:00:26, time: 0.657, data_time: 0.214, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9838, loss_cls: 2.6144, loss: 2.6144 +2025-05-01 12:58:27,323 - pyskl - INFO - Epoch [64][200/2353] lr: 1.559e-02, eta: 1 day, 0:59:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 2.5464, loss: 2.5464 +2025-05-01 12:59:11,380 - pyskl - INFO - Epoch [64][300/2353] lr: 1.558e-02, eta: 1 day, 0:58:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 2.5843, loss: 2.5843 +2025-05-01 12:59:55,410 - pyskl - INFO - Epoch [64][400/2353] lr: 1.557e-02, eta: 1 day, 0:58:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 2.4215, loss: 2.4215 +2025-05-01 13:00:39,656 - pyskl - INFO - Epoch [64][500/2353] lr: 1.555e-02, eta: 1 day, 0:57:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9869, loss_cls: 2.6728, loss: 2.6728 +2025-05-01 13:01:23,841 - pyskl - INFO - Epoch [64][600/2353] lr: 1.554e-02, eta: 1 day, 0:56:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9906, loss_cls: 2.6547, loss: 2.6547 +2025-05-01 13:02:08,045 - pyskl - INFO - Epoch [64][700/2353] lr: 1.553e-02, eta: 1 day, 0:56:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9850, loss_cls: 2.6737, loss: 2.6737 +2025-05-01 13:02:52,360 - pyskl - INFO - Epoch [64][800/2353] lr: 1.552e-02, eta: 1 day, 0:55:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 2.5924, loss: 2.5924 +2025-05-01 13:03:36,607 - pyskl - INFO - Epoch [64][900/2353] lr: 1.551e-02, eta: 1 day, 0:54:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 2.6416, loss: 2.6416 +2025-05-01 13:04:20,816 - pyskl - INFO - Epoch [64][1000/2353] lr: 1.550e-02, eta: 1 day, 0:53:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 2.5851, loss: 2.5851 +2025-05-01 13:05:04,904 - pyskl - INFO - Epoch [64][1100/2353] lr: 1.549e-02, eta: 1 day, 0:53:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 2.6567, loss: 2.6567 +2025-05-01 13:05:49,032 - pyskl - INFO - Epoch [64][1200/2353] lr: 1.548e-02, eta: 1 day, 0:52:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9825, loss_cls: 2.6809, loss: 2.6809 +2025-05-01 13:06:33,138 - pyskl - INFO - Epoch [64][1300/2353] lr: 1.547e-02, eta: 1 day, 0:51:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 2.6364, loss: 2.6364 +2025-05-01 13:07:17,147 - pyskl - INFO - Epoch [64][1400/2353] lr: 1.546e-02, eta: 1 day, 0:50:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 2.6556, loss: 2.6556 +2025-05-01 13:08:01,236 - pyskl - INFO - Epoch [64][1500/2353] lr: 1.545e-02, eta: 1 day, 0:50:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9825, loss_cls: 2.7184, loss: 2.7184 +2025-05-01 13:08:45,313 - pyskl - INFO - Epoch [64][1600/2353] lr: 1.544e-02, eta: 1 day, 0:49:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9838, loss_cls: 2.5900, loss: 2.5900 +2025-05-01 13:09:29,482 - pyskl - INFO - Epoch [64][1700/2353] lr: 1.543e-02, eta: 1 day, 0:48:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 2.7157, loss: 2.7157 +2025-05-01 13:10:13,573 - pyskl - INFO - Epoch [64][1800/2353] lr: 1.541e-02, eta: 1 day, 0:48:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9856, loss_cls: 2.6203, loss: 2.6203 +2025-05-01 13:10:57,774 - pyskl - INFO - Epoch [64][1900/2353] lr: 1.540e-02, eta: 1 day, 0:47:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9819, loss_cls: 2.6995, loss: 2.6995 +2025-05-01 13:11:41,775 - pyskl - INFO - Epoch [64][2000/2353] lr: 1.539e-02, eta: 1 day, 0:46:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9869, loss_cls: 2.7374, loss: 2.7374 +2025-05-01 13:12:25,905 - pyskl - INFO - Epoch [64][2100/2353] lr: 1.538e-02, eta: 1 day, 0:45:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9862, loss_cls: 2.6521, loss: 2.6521 +2025-05-01 13:13:09,903 - pyskl - INFO - Epoch [64][2200/2353] lr: 1.537e-02, eta: 1 day, 0:45:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9894, loss_cls: 2.5931, loss: 2.5931 +2025-05-01 13:13:53,913 - pyskl - INFO - Epoch [64][2300/2353] lr: 1.536e-02, eta: 1 day, 0:44:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9881, loss_cls: 2.6410, loss: 2.6410 +2025-05-01 13:14:17,926 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-05-01 13:15:48,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 13:15:48,126 - pyskl - INFO - +top1_acc 0.8817 +top5_acc 0.9881 +2025-05-01 13:15:48,130 - pyskl - INFO - Epoch(val) [64][1184] top1_acc: 0.8817, top5_acc: 0.9881 +2025-05-01 13:16:53,362 - pyskl - INFO - Epoch [65][100/2353] lr: 1.534e-02, eta: 1 day, 0:43:11, time: 0.652, data_time: 0.212, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 2.5300, loss: 2.5300 +2025-05-01 13:17:37,390 - pyskl - INFO - Epoch [65][200/2353] lr: 1.533e-02, eta: 1 day, 0:42:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9881, loss_cls: 2.6887, loss: 2.6887 +2025-05-01 13:18:21,417 - pyskl - INFO - Epoch [65][300/2353] lr: 1.532e-02, eta: 1 day, 0:41:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 2.6994, loss: 2.6994 +2025-05-01 13:19:05,430 - pyskl - INFO - Epoch [65][400/2353] lr: 1.531e-02, eta: 1 day, 0:41:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 2.5557, loss: 2.5557 +2025-05-01 13:19:49,398 - pyskl - INFO - Epoch [65][500/2353] lr: 1.530e-02, eta: 1 day, 0:40:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9906, loss_cls: 2.5574, loss: 2.5574 +2025-05-01 13:20:33,348 - pyskl - INFO - Epoch [65][600/2353] lr: 1.529e-02, eta: 1 day, 0:39:31, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9931, loss_cls: 2.4094, loss: 2.4094 +2025-05-01 13:21:17,311 - pyskl - INFO - Epoch [65][700/2353] lr: 1.528e-02, eta: 1 day, 0:38:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9838, loss_cls: 2.5985, loss: 2.5985 +2025-05-01 13:22:01,311 - pyskl - INFO - Epoch [65][800/2353] lr: 1.527e-02, eta: 1 day, 0:38:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9881, loss_cls: 2.6196, loss: 2.6196 +2025-05-01 13:22:45,324 - pyskl - INFO - Epoch [65][900/2353] lr: 1.526e-02, eta: 1 day, 0:37:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9906, loss_cls: 2.6057, loss: 2.6057 +2025-05-01 13:23:29,405 - pyskl - INFO - Epoch [65][1000/2353] lr: 1.525e-02, eta: 1 day, 0:36:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9806, loss_cls: 2.6495, loss: 2.6495 +2025-05-01 13:24:13,494 - pyskl - INFO - Epoch [65][1100/2353] lr: 1.524e-02, eta: 1 day, 0:35:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 2.6203, loss: 2.6203 +2025-05-01 13:24:57,461 - pyskl - INFO - Epoch [65][1200/2353] lr: 1.522e-02, eta: 1 day, 0:35:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 2.7053, loss: 2.7053 +2025-05-01 13:25:41,569 - pyskl - INFO - Epoch [65][1300/2353] lr: 1.521e-02, eta: 1 day, 0:34:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 2.6685, loss: 2.6685 +2025-05-01 13:26:25,577 - pyskl - INFO - Epoch [65][1400/2353] lr: 1.520e-02, eta: 1 day, 0:33:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 2.6793, loss: 2.6793 +2025-05-01 13:27:09,539 - pyskl - INFO - Epoch [65][1500/2353] lr: 1.519e-02, eta: 1 day, 0:32:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 2.5753, loss: 2.5753 +2025-05-01 13:27:53,650 - pyskl - INFO - Epoch [65][1600/2353] lr: 1.518e-02, eta: 1 day, 0:32:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9850, loss_cls: 2.7117, loss: 2.7117 +2025-05-01 13:28:37,608 - pyskl - INFO - Epoch [65][1700/2353] lr: 1.517e-02, eta: 1 day, 0:31:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 2.6089, loss: 2.6089 +2025-05-01 13:29:21,678 - pyskl - INFO - Epoch [65][1800/2353] lr: 1.516e-02, eta: 1 day, 0:30:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 2.6027, loss: 2.6027 +2025-05-01 13:30:05,641 - pyskl - INFO - Epoch [65][1900/2353] lr: 1.515e-02, eta: 1 day, 0:30:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9844, loss_cls: 2.6644, loss: 2.6644 +2025-05-01 13:30:49,702 - pyskl - INFO - Epoch [65][2000/2353] lr: 1.514e-02, eta: 1 day, 0:29:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9875, loss_cls: 2.4993, loss: 2.4993 +2025-05-01 13:31:33,728 - pyskl - INFO - Epoch [65][2100/2353] lr: 1.513e-02, eta: 1 day, 0:28:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9800, loss_cls: 2.7307, loss: 2.7307 +2025-05-01 13:32:17,631 - pyskl - INFO - Epoch [65][2200/2353] lr: 1.512e-02, eta: 1 day, 0:27:48, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 2.6614, loss: 2.6614 +2025-05-01 13:33:01,630 - pyskl - INFO - Epoch [65][2300/2353] lr: 1.510e-02, eta: 1 day, 0:27:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9912, loss_cls: 2.5683, loss: 2.5683 +2025-05-01 13:33:25,627 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-05-01 13:34:55,720 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 13:34:55,796 - pyskl - INFO - +top1_acc 0.8936 +top5_acc 0.9906 +2025-05-01 13:34:55,854 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_62.pth was removed +2025-05-01 13:34:56,986 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. +2025-05-01 13:34:56,987 - pyskl - INFO - Best top1_acc is 0.8936 at 65 epoch. +2025-05-01 13:34:56,990 - pyskl - INFO - Epoch(val) [65][1184] top1_acc: 0.8936, top5_acc: 0.9906 +2025-05-01 13:36:02,075 - pyskl - INFO - Epoch [66][100/2353] lr: 1.509e-02, eta: 1 day, 0:25:54, time: 0.651, data_time: 0.211, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 2.4621, loss: 2.4621 +2025-05-01 13:36:46,113 - pyskl - INFO - Epoch [66][200/2353] lr: 1.508e-02, eta: 1 day, 0:25:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 2.6058, loss: 2.6058 +2025-05-01 13:37:30,192 - pyskl - INFO - Epoch [66][300/2353] lr: 1.507e-02, eta: 1 day, 0:24:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 2.6154, loss: 2.6154 +2025-05-01 13:38:14,228 - pyskl - INFO - Epoch [66][400/2353] lr: 1.506e-02, eta: 1 day, 0:23:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 2.5115, loss: 2.5115 +2025-05-01 13:38:58,379 - pyskl - INFO - Epoch [66][500/2353] lr: 1.504e-02, eta: 1 day, 0:22:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9850, loss_cls: 2.5954, loss: 2.5954 +2025-05-01 13:39:42,441 - pyskl - INFO - Epoch [66][600/2353] lr: 1.503e-02, eta: 1 day, 0:22:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 2.5178, loss: 2.5178 +2025-05-01 13:40:26,555 - pyskl - INFO - Epoch [66][700/2353] lr: 1.502e-02, eta: 1 day, 0:21:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 2.4732, loss: 2.4732 +2025-05-01 13:41:10,671 - pyskl - INFO - Epoch [66][800/2353] lr: 1.501e-02, eta: 1 day, 0:20:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9850, loss_cls: 2.6410, loss: 2.6410 +2025-05-01 13:41:54,702 - pyskl - INFO - Epoch [66][900/2353] lr: 1.500e-02, eta: 1 day, 0:20:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9838, loss_cls: 2.8055, loss: 2.8055 +2025-05-01 13:42:38,790 - pyskl - INFO - Epoch [66][1000/2353] lr: 1.499e-02, eta: 1 day, 0:19:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 2.6469, loss: 2.6469 +2025-05-01 13:43:22,832 - pyskl - INFO - Epoch [66][1100/2353] lr: 1.498e-02, eta: 1 day, 0:18:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9838, loss_cls: 2.5932, loss: 2.5932 +2025-05-01 13:44:06,893 - pyskl - INFO - Epoch [66][1200/2353] lr: 1.497e-02, eta: 1 day, 0:17:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9869, loss_cls: 2.6002, loss: 2.6002 +2025-05-01 13:44:51,001 - pyskl - INFO - Epoch [66][1300/2353] lr: 1.496e-02, eta: 1 day, 0:17:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9850, loss_cls: 2.7168, loss: 2.7168 +2025-05-01 13:45:35,035 - pyskl - INFO - Epoch [66][1400/2353] lr: 1.495e-02, eta: 1 day, 0:16:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 2.6828, loss: 2.6828 +2025-05-01 13:46:19,118 - pyskl - INFO - Epoch [66][1500/2353] lr: 1.494e-02, eta: 1 day, 0:15:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9875, loss_cls: 2.6570, loss: 2.6570 +2025-05-01 13:47:03,146 - pyskl - INFO - Epoch [66][1600/2353] lr: 1.492e-02, eta: 1 day, 0:14:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 2.5053, loss: 2.5053 +2025-05-01 13:47:47,303 - pyskl - INFO - Epoch [66][1700/2353] lr: 1.491e-02, eta: 1 day, 0:14:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 2.7666, loss: 2.7666 +2025-05-01 13:48:31,511 - pyskl - INFO - Epoch [66][1800/2353] lr: 1.490e-02, eta: 1 day, 0:13:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9856, loss_cls: 2.7424, loss: 2.7424 +2025-05-01 13:49:15,583 - pyskl - INFO - Epoch [66][1900/2353] lr: 1.489e-02, eta: 1 day, 0:12:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9825, loss_cls: 2.7174, loss: 2.7174 +2025-05-01 13:49:59,582 - pyskl - INFO - Epoch [66][2000/2353] lr: 1.488e-02, eta: 1 day, 0:12:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 2.5835, loss: 2.5835 +2025-05-01 13:50:43,662 - pyskl - INFO - Epoch [66][2100/2353] lr: 1.487e-02, eta: 1 day, 0:11:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9894, loss_cls: 2.6201, loss: 2.6201 +2025-05-01 13:51:27,812 - pyskl - INFO - Epoch [66][2200/2353] lr: 1.486e-02, eta: 1 day, 0:10:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 2.6170, loss: 2.6170 +2025-05-01 13:52:12,098 - pyskl - INFO - Epoch [66][2300/2353] lr: 1.485e-02, eta: 1 day, 0:09:48, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 2.5583, loss: 2.5583 +2025-05-01 13:52:36,189 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-05-01 13:54:06,087 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 13:54:06,165 - pyskl - INFO - +top1_acc 0.8969 +top5_acc 0.9902 +2025-05-01 13:54:06,223 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_65.pth was removed +2025-05-01 13:54:07,306 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. +2025-05-01 13:54:07,307 - pyskl - INFO - Best top1_acc is 0.8969 at 66 epoch. +2025-05-01 13:54:07,309 - pyskl - INFO - Epoch(val) [66][1184] top1_acc: 0.8969, top5_acc: 0.9902 +2025-05-01 13:55:12,338 - pyskl - INFO - Epoch [67][100/2353] lr: 1.483e-02, eta: 1 day, 0:08:38, time: 0.650, data_time: 0.209, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 2.4368, loss: 2.4368 +2025-05-01 13:55:56,374 - pyskl - INFO - Epoch [67][200/2353] lr: 1.482e-02, eta: 1 day, 0:07:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 2.4427, loss: 2.4427 +2025-05-01 13:56:40,434 - pyskl - INFO - Epoch [67][300/2353] lr: 1.481e-02, eta: 1 day, 0:07:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 2.5474, loss: 2.5474 +2025-05-01 13:57:24,445 - pyskl - INFO - Epoch [67][400/2353] lr: 1.480e-02, eta: 1 day, 0:06:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 2.6271, loss: 2.6271 +2025-05-01 13:58:08,485 - pyskl - INFO - Epoch [67][500/2353] lr: 1.479e-02, eta: 1 day, 0:05:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9906, loss_cls: 2.6139, loss: 2.6139 +2025-05-01 13:58:52,510 - pyskl - INFO - Epoch [67][600/2353] lr: 1.478e-02, eta: 1 day, 0:04:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 2.6125, loss: 2.6125 +2025-05-01 13:59:36,634 - pyskl - INFO - Epoch [67][700/2353] lr: 1.477e-02, eta: 1 day, 0:04:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 2.6648, loss: 2.6648 +2025-05-01 14:00:20,686 - pyskl - INFO - Epoch [67][800/2353] lr: 1.475e-02, eta: 1 day, 0:03:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9906, loss_cls: 2.5830, loss: 2.5830 +2025-05-01 14:01:04,723 - pyskl - INFO - Epoch [67][900/2353] lr: 1.474e-02, eta: 1 day, 0:02:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9925, loss_cls: 2.4847, loss: 2.4847 +2025-05-01 14:01:48,819 - pyskl - INFO - Epoch [67][1000/2353] lr: 1.473e-02, eta: 1 day, 0:02:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9838, loss_cls: 2.6524, loss: 2.6524 +2025-05-01 14:02:32,845 - pyskl - INFO - Epoch [67][1100/2353] lr: 1.472e-02, eta: 1 day, 0:01:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 2.6025, loss: 2.6025 +2025-05-01 14:03:16,892 - pyskl - INFO - Epoch [67][1200/2353] lr: 1.471e-02, eta: 1 day, 0:00:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 2.5262, loss: 2.5262 +2025-05-01 14:04:00,901 - pyskl - INFO - Epoch [67][1300/2353] lr: 1.470e-02, eta: 23:59:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9825, loss_cls: 2.6490, loss: 2.6490 +2025-05-01 14:04:45,007 - pyskl - INFO - Epoch [67][1400/2353] lr: 1.469e-02, eta: 23:59:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9806, loss_cls: 2.6543, loss: 2.6543 +2025-05-01 14:05:29,175 - pyskl - INFO - Epoch [67][1500/2353] lr: 1.468e-02, eta: 23:58:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9925, loss_cls: 2.6050, loss: 2.6050 +2025-05-01 14:06:13,367 - pyskl - INFO - Epoch [67][1600/2353] lr: 1.467e-02, eta: 23:57:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9850, loss_cls: 2.7171, loss: 2.7171 +2025-05-01 14:06:57,493 - pyskl - INFO - Epoch [67][1700/2353] lr: 1.466e-02, eta: 23:56:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9812, loss_cls: 2.6789, loss: 2.6789 +2025-05-01 14:07:41,566 - pyskl - INFO - Epoch [67][1800/2353] lr: 1.465e-02, eta: 23:56:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 2.5895, loss: 2.5895 +2025-05-01 14:08:25,586 - pyskl - INFO - Epoch [67][1900/2353] lr: 1.463e-02, eta: 23:55:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 2.5290, loss: 2.5290 +2025-05-01 14:09:09,654 - pyskl - INFO - Epoch [67][2000/2353] lr: 1.462e-02, eta: 23:54:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9912, loss_cls: 2.6219, loss: 2.6219 +2025-05-01 14:09:53,826 - pyskl - INFO - Epoch [67][2100/2353] lr: 1.461e-02, eta: 23:54:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9825, loss_cls: 2.6808, loss: 2.6808 +2025-05-01 14:10:37,950 - pyskl - INFO - Epoch [67][2200/2353] lr: 1.460e-02, eta: 23:53:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 2.5175, loss: 2.5175 +2025-05-01 14:11:21,979 - pyskl - INFO - Epoch [67][2300/2353] lr: 1.459e-02, eta: 23:52:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9862, loss_cls: 2.6441, loss: 2.6441 +2025-05-01 14:11:46,137 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-05-01 14:13:16,105 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 14:13:16,182 - pyskl - INFO - +top1_acc 0.8750 +top5_acc 0.9870 +2025-05-01 14:13:16,185 - pyskl - INFO - Epoch(val) [67][1184] top1_acc: 0.8750, top5_acc: 0.9870 +2025-05-01 14:14:21,491 - pyskl - INFO - Epoch [68][100/2353] lr: 1.457e-02, eta: 23:51:22, time: 0.653, data_time: 0.213, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 2.4923, loss: 2.4923 +2025-05-01 14:15:05,518 - pyskl - INFO - Epoch [68][200/2353] lr: 1.456e-02, eta: 23:50:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 2.5470, loss: 2.5470 +2025-05-01 14:15:49,614 - pyskl - INFO - Epoch [68][300/2353] lr: 1.455e-02, eta: 23:49:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9875, loss_cls: 2.5744, loss: 2.5744 +2025-05-01 14:16:33,668 - pyskl - INFO - Epoch [68][400/2353] lr: 1.454e-02, eta: 23:49:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9856, loss_cls: 2.5751, loss: 2.5751 +2025-05-01 14:17:17,732 - pyskl - INFO - Epoch [68][500/2353] lr: 1.453e-02, eta: 23:48:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 2.5111, loss: 2.5111 +2025-05-01 14:18:01,745 - pyskl - INFO - Epoch [68][600/2353] lr: 1.452e-02, eta: 23:47:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 2.5326, loss: 2.5326 +2025-05-01 14:18:45,792 - pyskl - INFO - Epoch [68][700/2353] lr: 1.451e-02, eta: 23:46:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 2.5644, loss: 2.5644 +2025-05-01 14:19:29,877 - pyskl - INFO - Epoch [68][800/2353] lr: 1.450e-02, eta: 23:46:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 2.5998, loss: 2.5998 +2025-05-01 14:20:13,988 - pyskl - INFO - Epoch [68][900/2353] lr: 1.449e-02, eta: 23:45:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 2.6390, loss: 2.6390 +2025-05-01 14:20:58,079 - pyskl - INFO - Epoch [68][1000/2353] lr: 1.447e-02, eta: 23:44:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9894, loss_cls: 2.6716, loss: 2.6716 +2025-05-01 14:21:42,080 - pyskl - INFO - Epoch [68][1100/2353] lr: 1.446e-02, eta: 23:44:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 2.5426, loss: 2.5426 +2025-05-01 14:22:26,098 - pyskl - INFO - Epoch [68][1200/2353] lr: 1.445e-02, eta: 23:43:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9906, loss_cls: 2.6359, loss: 2.6359 +2025-05-01 14:23:10,249 - pyskl - INFO - Epoch [68][1300/2353] lr: 1.444e-02, eta: 23:42:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9900, loss_cls: 2.5960, loss: 2.5960 +2025-05-01 14:23:54,309 - pyskl - INFO - Epoch [68][1400/2353] lr: 1.443e-02, eta: 23:41:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9919, loss_cls: 2.5652, loss: 2.5652 +2025-05-01 14:24:38,383 - pyskl - INFO - Epoch [68][1500/2353] lr: 1.442e-02, eta: 23:41:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 2.5033, loss: 2.5033 +2025-05-01 14:25:22,692 - pyskl - INFO - Epoch [68][1600/2353] lr: 1.441e-02, eta: 23:40:24, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 2.6166, loss: 2.6166 +2025-05-01 14:26:06,798 - pyskl - INFO - Epoch [68][1700/2353] lr: 1.440e-02, eta: 23:39:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9881, loss_cls: 2.6575, loss: 2.6575 +2025-05-01 14:26:50,972 - pyskl - INFO - Epoch [68][1800/2353] lr: 1.439e-02, eta: 23:38:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 2.6264, loss: 2.6264 +2025-05-01 14:27:35,070 - pyskl - INFO - Epoch [68][1900/2353] lr: 1.438e-02, eta: 23:38:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9900, loss_cls: 2.5688, loss: 2.5688 +2025-05-01 14:28:19,140 - pyskl - INFO - Epoch [68][2000/2353] lr: 1.436e-02, eta: 23:37:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 2.7164, loss: 2.7164 +2025-05-01 14:29:03,284 - pyskl - INFO - Epoch [68][2100/2353] lr: 1.435e-02, eta: 23:36:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9875, loss_cls: 2.6229, loss: 2.6229 +2025-05-01 14:29:47,394 - pyskl - INFO - Epoch [68][2200/2353] lr: 1.434e-02, eta: 23:36:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 2.6954, loss: 2.6954 +2025-05-01 14:30:31,399 - pyskl - INFO - Epoch [68][2300/2353] lr: 1.433e-02, eta: 23:35:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 2.5911, loss: 2.5911 +2025-05-01 14:30:55,383 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-05-01 14:32:25,107 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 14:32:25,183 - pyskl - INFO - +top1_acc 0.8863 +top5_acc 0.9877 +2025-05-01 14:32:25,187 - pyskl - INFO - Epoch(val) [68][1184] top1_acc: 0.8863, top5_acc: 0.9877 +2025-05-01 14:33:30,624 - pyskl - INFO - Epoch [69][100/2353] lr: 1.432e-02, eta: 23:34:07, time: 0.654, data_time: 0.216, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 2.4787, loss: 2.4787 +2025-05-01 14:34:14,571 - pyskl - INFO - Epoch [69][200/2353] lr: 1.430e-02, eta: 23:33:23, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9894, loss_cls: 2.3617, loss: 2.3617 +2025-05-01 14:34:58,507 - pyskl - INFO - Epoch [69][300/2353] lr: 1.429e-02, eta: 23:32:39, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 2.3862, loss: 2.3862 +2025-05-01 14:35:42,496 - pyskl - INFO - Epoch [69][400/2353] lr: 1.428e-02, eta: 23:31:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 2.4804, loss: 2.4804 +2025-05-01 14:36:26,485 - pyskl - INFO - Epoch [69][500/2353] lr: 1.427e-02, eta: 23:31:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 2.3971, loss: 2.3971 +2025-05-01 14:37:10,438 - pyskl - INFO - Epoch [69][600/2353] lr: 1.426e-02, eta: 23:30:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 2.5455, loss: 2.5455 +2025-05-01 14:37:54,459 - pyskl - INFO - Epoch [69][700/2353] lr: 1.425e-02, eta: 23:29:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 2.6389, loss: 2.6389 +2025-05-01 14:38:38,416 - pyskl - INFO - Epoch [69][800/2353] lr: 1.424e-02, eta: 23:28:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 2.5699, loss: 2.5699 +2025-05-01 14:39:22,444 - pyskl - INFO - Epoch [69][900/2353] lr: 1.423e-02, eta: 23:28:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9919, loss_cls: 2.5469, loss: 2.5469 +2025-05-01 14:40:06,303 - pyskl - INFO - Epoch [69][1000/2353] lr: 1.422e-02, eta: 23:27:31, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 2.6222, loss: 2.6222 +2025-05-01 14:40:50,307 - pyskl - INFO - Epoch [69][1100/2353] lr: 1.420e-02, eta: 23:26:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9819, loss_cls: 2.5724, loss: 2.5724 +2025-05-01 14:41:34,336 - pyskl - INFO - Epoch [69][1200/2353] lr: 1.419e-02, eta: 23:26:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 2.6416, loss: 2.6416 +2025-05-01 14:42:18,426 - pyskl - INFO - Epoch [69][1300/2353] lr: 1.418e-02, eta: 23:25:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 2.4946, loss: 2.4946 +2025-05-01 14:43:02,476 - pyskl - INFO - Epoch [69][1400/2353] lr: 1.417e-02, eta: 23:24:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 2.6323, loss: 2.6323 +2025-05-01 14:43:46,627 - pyskl - INFO - Epoch [69][1500/2353] lr: 1.416e-02, eta: 23:23:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9888, loss_cls: 2.6881, loss: 2.6881 +2025-05-01 14:44:30,732 - pyskl - INFO - Epoch [69][1600/2353] lr: 1.415e-02, eta: 23:23:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 2.6476, loss: 2.6476 +2025-05-01 14:45:14,738 - pyskl - INFO - Epoch [69][1700/2353] lr: 1.414e-02, eta: 23:22:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9831, loss_cls: 2.6338, loss: 2.6338 +2025-05-01 14:45:58,855 - pyskl - INFO - Epoch [69][1800/2353] lr: 1.413e-02, eta: 23:21:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9862, loss_cls: 2.7230, loss: 2.7230 +2025-05-01 14:46:42,895 - pyskl - INFO - Epoch [69][1900/2353] lr: 1.412e-02, eta: 23:20:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 2.6813, loss: 2.6813 +2025-05-01 14:47:26,972 - pyskl - INFO - Epoch [69][2000/2353] lr: 1.411e-02, eta: 23:20:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 2.6760, loss: 2.6760 +2025-05-01 14:48:11,078 - pyskl - INFO - Epoch [69][2100/2353] lr: 1.409e-02, eta: 23:19:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 2.6449, loss: 2.6449 +2025-05-01 14:48:55,120 - pyskl - INFO - Epoch [69][2200/2353] lr: 1.408e-02, eta: 23:18:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9856, loss_cls: 2.6036, loss: 2.6036 +2025-05-01 14:49:39,055 - pyskl - INFO - Epoch [69][2300/2353] lr: 1.407e-02, eta: 23:18:00, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 2.6670, loss: 2.6670 +2025-05-01 14:50:03,049 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-05-01 14:51:32,685 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 14:51:32,765 - pyskl - INFO - +top1_acc 0.8832 +top5_acc 0.9886 +2025-05-01 14:51:32,769 - pyskl - INFO - Epoch(val) [69][1184] top1_acc: 0.8832, top5_acc: 0.9886 +2025-05-01 14:52:38,687 - pyskl - INFO - Epoch [70][100/2353] lr: 1.406e-02, eta: 23:16:51, time: 0.659, data_time: 0.211, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 2.5805, loss: 2.5805 +2025-05-01 14:53:23,480 - pyskl - INFO - Epoch [70][200/2353] lr: 1.404e-02, eta: 23:16:08, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9925, loss_cls: 2.4939, loss: 2.4939 +2025-05-01 14:54:08,280 - pyskl - INFO - Epoch [70][300/2353] lr: 1.403e-02, eta: 23:15:25, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 2.4803, loss: 2.4803 +2025-05-01 14:54:52,938 - pyskl - INFO - Epoch [70][400/2353] lr: 1.402e-02, eta: 23:14:41, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 2.4188, loss: 2.4188 +2025-05-01 14:55:37,629 - pyskl - INFO - Epoch [70][500/2353] lr: 1.401e-02, eta: 23:13:58, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 2.4663, loss: 2.4663 +2025-05-01 14:56:22,290 - pyskl - INFO - Epoch [70][600/2353] lr: 1.400e-02, eta: 23:13:15, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 2.5550, loss: 2.5550 +2025-05-01 14:57:06,941 - pyskl - INFO - Epoch [70][700/2353] lr: 1.399e-02, eta: 23:12:32, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 2.5283, loss: 2.5283 +2025-05-01 14:57:51,464 - pyskl - INFO - Epoch [70][800/2353] lr: 1.398e-02, eta: 23:11:48, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 2.5939, loss: 2.5939 +2025-05-01 14:58:36,050 - pyskl - INFO - Epoch [70][900/2353] lr: 1.397e-02, eta: 23:11:05, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9925, loss_cls: 2.5838, loss: 2.5838 +2025-05-01 14:59:20,663 - pyskl - INFO - Epoch [70][1000/2353] lr: 1.396e-02, eta: 23:10:22, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9831, loss_cls: 2.5863, loss: 2.5863 +2025-05-01 15:00:05,245 - pyskl - INFO - Epoch [70][1100/2353] lr: 1.395e-02, eta: 23:09:38, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9881, loss_cls: 2.5472, loss: 2.5472 +2025-05-01 15:00:49,931 - pyskl - INFO - Epoch [70][1200/2353] lr: 1.393e-02, eta: 23:08:55, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9931, loss_cls: 2.5258, loss: 2.5258 +2025-05-01 15:01:34,615 - pyskl - INFO - Epoch [70][1300/2353] lr: 1.392e-02, eta: 23:08:12, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 2.5395, loss: 2.5395 +2025-05-01 15:02:19,201 - pyskl - INFO - Epoch [70][1400/2353] lr: 1.391e-02, eta: 23:07:29, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9856, loss_cls: 2.6504, loss: 2.6504 +2025-05-01 15:03:03,791 - pyskl - INFO - Epoch [70][1500/2353] lr: 1.390e-02, eta: 23:06:45, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 2.5884, loss: 2.5884 +2025-05-01 15:03:48,406 - pyskl - INFO - Epoch [70][1600/2353] lr: 1.389e-02, eta: 23:06:02, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 2.5026, loss: 2.5026 +2025-05-01 15:04:32,964 - pyskl - INFO - Epoch [70][1700/2353] lr: 1.388e-02, eta: 23:05:19, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 2.6840, loss: 2.6840 +2025-05-01 15:05:17,514 - pyskl - INFO - Epoch [70][1800/2353] lr: 1.387e-02, eta: 23:04:35, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 2.5332, loss: 2.5332 +2025-05-01 15:06:02,142 - pyskl - INFO - Epoch [70][1900/2353] lr: 1.386e-02, eta: 23:03:52, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 2.6116, loss: 2.6116 +2025-05-01 15:06:46,810 - pyskl - INFO - Epoch [70][2000/2353] lr: 1.385e-02, eta: 23:03:09, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 2.5889, loss: 2.5889 +2025-05-01 15:07:31,591 - pyskl - INFO - Epoch [70][2100/2353] lr: 1.383e-02, eta: 23:02:26, time: 0.448, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9831, loss_cls: 2.6315, loss: 2.6315 +2025-05-01 15:08:16,282 - pyskl - INFO - Epoch [70][2200/2353] lr: 1.382e-02, eta: 23:01:42, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 2.5283, loss: 2.5283 +2025-05-01 15:09:00,958 - pyskl - INFO - Epoch [70][2300/2353] lr: 1.381e-02, eta: 23:00:59, time: 0.447, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9912, loss_cls: 2.5556, loss: 2.5556 +2025-05-01 15:09:25,280 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-05-01 15:10:55,115 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 15:10:55,192 - pyskl - INFO - +top1_acc 0.9000 +top5_acc 0.9912 +2025-05-01 15:10:55,250 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_66.pth was removed +2025-05-01 15:10:56,373 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_70.pth. +2025-05-01 15:10:56,374 - pyskl - INFO - Best top1_acc is 0.9000 at 70 epoch. +2025-05-01 15:10:56,377 - pyskl - INFO - Epoch(val) [70][1184] top1_acc: 0.9000, top5_acc: 0.9912 +2025-05-01 15:12:01,878 - pyskl - INFO - Epoch [71][100/2353] lr: 1.380e-02, eta: 22:59:50, time: 0.655, data_time: 0.210, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 2.4560, loss: 2.4560 +2025-05-01 15:12:45,997 - pyskl - INFO - Epoch [71][200/2353] lr: 1.378e-02, eta: 22:59:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 2.4614, loss: 2.4614 +2025-05-01 15:13:30,095 - pyskl - INFO - Epoch [71][300/2353] lr: 1.377e-02, eta: 22:58:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 2.3742, loss: 2.3742 +2025-05-01 15:14:14,243 - pyskl - INFO - Epoch [71][400/2353] lr: 1.376e-02, eta: 22:57:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9950, loss_cls: 2.4835, loss: 2.4835 +2025-05-01 15:14:58,436 - pyskl - INFO - Epoch [71][500/2353] lr: 1.375e-02, eta: 22:56:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 2.5178, loss: 2.5178 +2025-05-01 15:15:42,643 - pyskl - INFO - Epoch [71][600/2353] lr: 1.374e-02, eta: 22:56:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 2.5482, loss: 2.5482 +2025-05-01 15:16:26,705 - pyskl - INFO - Epoch [71][700/2353] lr: 1.373e-02, eta: 22:55:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 2.5293, loss: 2.5293 +2025-05-01 15:17:10,817 - pyskl - INFO - Epoch [71][800/2353] lr: 1.372e-02, eta: 22:54:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 2.4646, loss: 2.4646 +2025-05-01 15:17:54,937 - pyskl - INFO - Epoch [71][900/2353] lr: 1.371e-02, eta: 22:53:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 2.5786, loss: 2.5786 +2025-05-01 15:18:39,019 - pyskl - INFO - Epoch [71][1000/2353] lr: 1.370e-02, eta: 22:53:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9844, loss_cls: 2.6074, loss: 2.6074 +2025-05-01 15:19:23,207 - pyskl - INFO - Epoch [71][1100/2353] lr: 1.368e-02, eta: 22:52:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9925, loss_cls: 2.5808, loss: 2.5808 +2025-05-01 15:20:07,369 - pyskl - INFO - Epoch [71][1200/2353] lr: 1.367e-02, eta: 22:51:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9831, loss_cls: 2.6269, loss: 2.6269 +2025-05-01 15:20:51,703 - pyskl - INFO - Epoch [71][1300/2353] lr: 1.366e-02, eta: 22:51:04, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 2.5447, loss: 2.5447 +2025-05-01 15:21:35,819 - pyskl - INFO - Epoch [71][1400/2353] lr: 1.365e-02, eta: 22:50:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 2.5104, loss: 2.5104 +2025-05-01 15:22:19,914 - pyskl - INFO - Epoch [71][1500/2353] lr: 1.364e-02, eta: 22:49:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 2.5856, loss: 2.5856 +2025-05-01 15:23:03,950 - pyskl - INFO - Epoch [71][1600/2353] lr: 1.363e-02, eta: 22:48:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 2.4557, loss: 2.4557 +2025-05-01 15:23:48,035 - pyskl - INFO - Epoch [71][1700/2353] lr: 1.362e-02, eta: 22:48:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9900, loss_cls: 2.6062, loss: 2.6062 +2025-05-01 15:24:32,287 - pyskl - INFO - Epoch [71][1800/2353] lr: 1.361e-02, eta: 22:47:24, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 2.5715, loss: 2.5715 +2025-05-01 15:25:16,470 - pyskl - INFO - Epoch [71][1900/2353] lr: 1.360e-02, eta: 22:46:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 2.6054, loss: 2.6054 +2025-05-01 15:26:00,746 - pyskl - INFO - Epoch [71][2000/2353] lr: 1.359e-02, eta: 22:45:57, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 2.5563, loss: 2.5563 +2025-05-01 15:26:44,897 - pyskl - INFO - Epoch [71][2100/2353] lr: 1.357e-02, eta: 22:45:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9869, loss_cls: 2.6145, loss: 2.6145 +2025-05-01 15:27:29,033 - pyskl - INFO - Epoch [71][2200/2353] lr: 1.356e-02, eta: 22:44:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 2.6140, loss: 2.6140 +2025-05-01 15:28:13,241 - pyskl - INFO - Epoch [71][2300/2353] lr: 1.355e-02, eta: 22:43:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 2.4856, loss: 2.4856 +2025-05-01 15:28:37,349 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-05-01 15:30:07,412 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 15:30:07,489 - pyskl - INFO - +top1_acc 0.8931 +top5_acc 0.9912 +2025-05-01 15:30:07,492 - pyskl - INFO - Epoch(val) [71][1184] top1_acc: 0.8931, top5_acc: 0.9912 +2025-05-01 15:31:12,882 - pyskl - INFO - Epoch [72][100/2353] lr: 1.353e-02, eta: 22:42:36, time: 0.654, data_time: 0.215, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 2.3781, loss: 2.3781 +2025-05-01 15:31:56,775 - pyskl - INFO - Epoch [72][200/2353] lr: 1.352e-02, eta: 22:41:52, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 2.4970, loss: 2.4970 +2025-05-01 15:32:40,866 - pyskl - INFO - Epoch [72][300/2353] lr: 1.351e-02, eta: 22:41:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 2.4028, loss: 2.4028 +2025-05-01 15:33:25,142 - pyskl - INFO - Epoch [72][400/2353] lr: 1.350e-02, eta: 22:40:24, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9894, loss_cls: 2.5944, loss: 2.5944 +2025-05-01 15:34:09,297 - pyskl - INFO - Epoch [72][500/2353] lr: 1.349e-02, eta: 22:39:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 2.5205, loss: 2.5205 +2025-05-01 15:34:53,489 - pyskl - INFO - Epoch [72][600/2353] lr: 1.348e-02, eta: 22:38:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9919, loss_cls: 2.5379, loss: 2.5379 +2025-05-01 15:35:37,678 - pyskl - INFO - Epoch [72][700/2353] lr: 1.347e-02, eta: 22:38:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 2.5023, loss: 2.5023 +2025-05-01 15:36:21,906 - pyskl - INFO - Epoch [72][800/2353] lr: 1.346e-02, eta: 22:37:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 2.5199, loss: 2.5199 +2025-05-01 15:37:06,071 - pyskl - INFO - Epoch [72][900/2353] lr: 1.345e-02, eta: 22:36:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 2.5593, loss: 2.5593 +2025-05-01 15:37:50,057 - pyskl - INFO - Epoch [72][1000/2353] lr: 1.344e-02, eta: 22:36:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9912, loss_cls: 2.5201, loss: 2.5201 +2025-05-01 15:38:34,015 - pyskl - INFO - Epoch [72][1100/2353] lr: 1.342e-02, eta: 22:35:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9931, loss_cls: 2.6124, loss: 2.6124 +2025-05-01 15:39:18,077 - pyskl - INFO - Epoch [72][1200/2353] lr: 1.341e-02, eta: 22:34:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 2.5024, loss: 2.5024 +2025-05-01 15:40:02,197 - pyskl - INFO - Epoch [72][1300/2353] lr: 1.340e-02, eta: 22:33:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9869, loss_cls: 2.4413, loss: 2.4413 +2025-05-01 15:40:46,235 - pyskl - INFO - Epoch [72][1400/2353] lr: 1.339e-02, eta: 22:33:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9838, loss_cls: 2.6562, loss: 2.6562 +2025-05-01 15:41:30,299 - pyskl - INFO - Epoch [72][1500/2353] lr: 1.338e-02, eta: 22:32:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9906, loss_cls: 2.6016, loss: 2.6016 +2025-05-01 15:42:14,323 - pyskl - INFO - Epoch [72][1600/2353] lr: 1.337e-02, eta: 22:31:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 2.4114, loss: 2.4114 +2025-05-01 15:42:58,358 - pyskl - INFO - Epoch [72][1700/2353] lr: 1.336e-02, eta: 22:30:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 2.5824, loss: 2.5824 +2025-05-01 15:43:42,542 - pyskl - INFO - Epoch [72][1800/2353] lr: 1.335e-02, eta: 22:30:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 2.5176, loss: 2.5176 +2025-05-01 15:44:26,719 - pyskl - INFO - Epoch [72][1900/2353] lr: 1.334e-02, eta: 22:29:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 2.5129, loss: 2.5129 +2025-05-01 15:45:10,809 - pyskl - INFO - Epoch [72][2000/2353] lr: 1.332e-02, eta: 22:28:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 2.5701, loss: 2.5701 +2025-05-01 15:45:54,855 - pyskl - INFO - Epoch [72][2100/2353] lr: 1.331e-02, eta: 22:27:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9906, loss_cls: 2.6051, loss: 2.6051 +2025-05-01 15:46:38,834 - pyskl - INFO - Epoch [72][2200/2353] lr: 1.330e-02, eta: 22:27:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 2.5875, loss: 2.5875 +2025-05-01 15:47:22,866 - pyskl - INFO - Epoch [72][2300/2353] lr: 1.329e-02, eta: 22:26:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9850, loss_cls: 2.4749, loss: 2.4749 +2025-05-01 15:47:46,906 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-05-01 15:49:16,796 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 15:49:16,873 - pyskl - INFO - +top1_acc 0.8892 +top5_acc 0.9855 +2025-05-01 15:49:16,877 - pyskl - INFO - Epoch(val) [72][1184] top1_acc: 0.8892, top5_acc: 0.9855 +2025-05-01 15:50:22,202 - pyskl - INFO - Epoch [73][100/2353] lr: 1.327e-02, eta: 22:25:20, time: 0.653, data_time: 0.213, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 2.4120, loss: 2.4120 +2025-05-01 15:51:06,221 - pyskl - INFO - Epoch [73][200/2353] lr: 1.326e-02, eta: 22:24:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 2.4055, loss: 2.4055 +2025-05-01 15:51:50,226 - pyskl - INFO - Epoch [73][300/2353] lr: 1.325e-02, eta: 22:23:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 2.4021, loss: 2.4021 +2025-05-01 15:52:34,318 - pyskl - INFO - Epoch [73][400/2353] lr: 1.324e-02, eta: 22:23:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 2.5201, loss: 2.5201 +2025-05-01 15:53:18,386 - pyskl - INFO - Epoch [73][500/2353] lr: 1.323e-02, eta: 22:22:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9950, loss_cls: 2.4828, loss: 2.4828 +2025-05-01 15:54:02,599 - pyskl - INFO - Epoch [73][600/2353] lr: 1.322e-02, eta: 22:21:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9875, loss_cls: 2.5512, loss: 2.5512 +2025-05-01 15:54:46,744 - pyskl - INFO - Epoch [73][700/2353] lr: 1.321e-02, eta: 22:20:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 2.5766, loss: 2.5766 +2025-05-01 15:55:30,896 - pyskl - INFO - Epoch [73][800/2353] lr: 1.320e-02, eta: 22:20:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9919, loss_cls: 2.5370, loss: 2.5370 +2025-05-01 15:56:15,079 - pyskl - INFO - Epoch [73][900/2353] lr: 1.319e-02, eta: 22:19:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 2.5524, loss: 2.5524 +2025-05-01 15:56:59,111 - pyskl - INFO - Epoch [73][1000/2353] lr: 1.317e-02, eta: 22:18:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 2.4538, loss: 2.4538 +2025-05-01 15:57:43,388 - pyskl - INFO - Epoch [73][1100/2353] lr: 1.316e-02, eta: 22:18:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9869, loss_cls: 2.7227, loss: 2.7227 +2025-05-01 15:58:27,434 - pyskl - INFO - Epoch [73][1200/2353] lr: 1.315e-02, eta: 22:17:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9869, loss_cls: 2.4846, loss: 2.4846 +2025-05-01 15:59:11,389 - pyskl - INFO - Epoch [73][1300/2353] lr: 1.314e-02, eta: 22:16:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9919, loss_cls: 2.4807, loss: 2.4807 +2025-05-01 15:59:55,426 - pyskl - INFO - Epoch [73][1400/2353] lr: 1.313e-02, eta: 22:15:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 2.5863, loss: 2.5863 +2025-05-01 16:00:39,542 - pyskl - INFO - Epoch [73][1500/2353] lr: 1.312e-02, eta: 22:15:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9925, loss_cls: 2.5252, loss: 2.5252 +2025-05-01 16:01:23,642 - pyskl - INFO - Epoch [73][1600/2353] lr: 1.311e-02, eta: 22:14:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 2.5220, loss: 2.5220 +2025-05-01 16:02:08,041 - pyskl - INFO - Epoch [73][1700/2353] lr: 1.310e-02, eta: 22:13:38, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 2.4736, loss: 2.4736 +2025-05-01 16:02:52,591 - pyskl - INFO - Epoch [73][1800/2353] lr: 1.309e-02, eta: 22:12:55, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9906, loss_cls: 2.3898, loss: 2.3898 +2025-05-01 16:03:37,048 - pyskl - INFO - Epoch [73][1900/2353] lr: 1.307e-02, eta: 22:12:11, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9906, loss_cls: 2.4842, loss: 2.4842 +2025-05-01 16:04:21,259 - pyskl - INFO - Epoch [73][2000/2353] lr: 1.306e-02, eta: 22:11:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 2.6264, loss: 2.6264 +2025-05-01 16:05:05,515 - pyskl - INFO - Epoch [73][2100/2353] lr: 1.305e-02, eta: 22:10:43, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 2.3858, loss: 2.3858 +2025-05-01 16:05:49,707 - pyskl - INFO - Epoch [73][2200/2353] lr: 1.304e-02, eta: 22:10:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9938, loss_cls: 2.4156, loss: 2.4156 +2025-05-01 16:06:33,744 - pyskl - INFO - Epoch [73][2300/2353] lr: 1.303e-02, eta: 22:09:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9938, loss_cls: 2.4850, loss: 2.4850 +2025-05-01 16:06:58,012 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-05-01 16:08:28,562 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 16:08:28,638 - pyskl - INFO - +top1_acc 0.8931 +top5_acc 0.9879 +2025-05-01 16:08:28,642 - pyskl - INFO - Epoch(val) [73][1184] top1_acc: 0.8931, top5_acc: 0.9879 +2025-05-01 16:09:33,804 - pyskl - INFO - Epoch [74][100/2353] lr: 1.301e-02, eta: 22:08:06, time: 0.652, data_time: 0.211, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 2.4880, loss: 2.4880 +2025-05-01 16:10:17,781 - pyskl - INFO - Epoch [74][200/2353] lr: 1.300e-02, eta: 22:07:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 2.3398, loss: 2.3398 +2025-05-01 16:11:01,825 - pyskl - INFO - Epoch [74][300/2353] lr: 1.299e-02, eta: 22:06:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 2.3100, loss: 2.3100 +2025-05-01 16:11:45,671 - pyskl - INFO - Epoch [74][400/2353] lr: 1.298e-02, eta: 22:05:54, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 2.5097, loss: 2.5097 +2025-05-01 16:12:29,548 - pyskl - INFO - Epoch [74][500/2353] lr: 1.297e-02, eta: 22:05:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 2.4037, loss: 2.4037 +2025-05-01 16:13:13,291 - pyskl - INFO - Epoch [74][600/2353] lr: 1.296e-02, eta: 22:04:25, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 2.5497, loss: 2.5497 +2025-05-01 16:13:57,260 - pyskl - INFO - Epoch [74][700/2353] lr: 1.295e-02, eta: 22:03:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 2.5053, loss: 2.5053 +2025-05-01 16:14:41,334 - pyskl - INFO - Epoch [74][800/2353] lr: 1.293e-02, eta: 22:02:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 2.4805, loss: 2.4805 +2025-05-01 16:15:25,410 - pyskl - INFO - Epoch [74][900/2353] lr: 1.292e-02, eta: 22:02:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 2.4649, loss: 2.4649 +2025-05-01 16:16:09,518 - pyskl - INFO - Epoch [74][1000/2353] lr: 1.291e-02, eta: 22:01:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9894, loss_cls: 2.5417, loss: 2.5417 +2025-05-01 16:16:53,505 - pyskl - INFO - Epoch [74][1100/2353] lr: 1.290e-02, eta: 22:00:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 2.3752, loss: 2.3752 +2025-05-01 16:17:37,464 - pyskl - INFO - Epoch [74][1200/2353] lr: 1.289e-02, eta: 22:00:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 2.4960, loss: 2.4960 +2025-05-01 16:18:21,504 - pyskl - INFO - Epoch [74][1300/2353] lr: 1.288e-02, eta: 21:59:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 2.5743, loss: 2.5743 +2025-05-01 16:19:05,539 - pyskl - INFO - Epoch [74][1400/2353] lr: 1.287e-02, eta: 21:58:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 2.4487, loss: 2.4487 +2025-05-01 16:19:49,459 - pyskl - INFO - Epoch [74][1500/2353] lr: 1.286e-02, eta: 21:57:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9831, loss_cls: 2.5088, loss: 2.5088 +2025-05-01 16:20:33,471 - pyskl - INFO - Epoch [74][1600/2353] lr: 1.285e-02, eta: 21:57:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9925, loss_cls: 2.4877, loss: 2.4877 +2025-05-01 16:21:17,446 - pyskl - INFO - Epoch [74][1700/2353] lr: 1.283e-02, eta: 21:56:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 2.4514, loss: 2.4514 +2025-05-01 16:22:01,483 - pyskl - INFO - Epoch [74][1800/2353] lr: 1.282e-02, eta: 21:55:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 2.5170, loss: 2.5170 +2025-05-01 16:22:45,475 - pyskl - INFO - Epoch [74][1900/2353] lr: 1.281e-02, eta: 21:54:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 2.5270, loss: 2.5270 +2025-05-01 16:23:29,635 - pyskl - INFO - Epoch [74][2000/2353] lr: 1.280e-02, eta: 21:54:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 2.5094, loss: 2.5094 +2025-05-01 16:24:13,720 - pyskl - INFO - Epoch [74][2100/2353] lr: 1.279e-02, eta: 21:53:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 2.5728, loss: 2.5728 +2025-05-01 16:24:57,689 - pyskl - INFO - Epoch [74][2200/2353] lr: 1.278e-02, eta: 21:52:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 2.5230, loss: 2.5230 +2025-05-01 16:25:41,410 - pyskl - INFO - Epoch [74][2300/2353] lr: 1.277e-02, eta: 21:51:57, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 2.6147, loss: 2.6147 +2025-05-01 16:26:05,406 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-05-01 16:27:35,290 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 16:27:35,367 - pyskl - INFO - +top1_acc 0.8932 +top5_acc 0.9914 +2025-05-01 16:27:35,370 - pyskl - INFO - Epoch(val) [74][1184] top1_acc: 0.8932, top5_acc: 0.9914 +2025-05-01 16:28:40,722 - pyskl - INFO - Epoch [75][100/2353] lr: 1.275e-02, eta: 21:50:48, time: 0.653, data_time: 0.214, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9869, loss_cls: 2.4222, loss: 2.4222 +2025-05-01 16:29:24,710 - pyskl - INFO - Epoch [75][200/2353] lr: 1.274e-02, eta: 21:50:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 2.3904, loss: 2.3904 +2025-05-01 16:30:08,633 - pyskl - INFO - Epoch [75][300/2353] lr: 1.273e-02, eta: 21:49:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9944, loss_cls: 2.4267, loss: 2.4267 +2025-05-01 16:30:52,602 - pyskl - INFO - Epoch [75][400/2353] lr: 1.272e-02, eta: 21:48:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9969, loss_cls: 2.4489, loss: 2.4489 +2025-05-01 16:31:36,537 - pyskl - INFO - Epoch [75][500/2353] lr: 1.271e-02, eta: 21:47:52, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 2.4642, loss: 2.4642 +2025-05-01 16:32:20,471 - pyskl - INFO - Epoch [75][600/2353] lr: 1.270e-02, eta: 21:47:08, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 2.4375, loss: 2.4375 +2025-05-01 16:33:04,530 - pyskl - INFO - Epoch [75][700/2353] lr: 1.268e-02, eta: 21:46:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9869, loss_cls: 2.4478, loss: 2.4478 +2025-05-01 16:33:48,561 - pyskl - INFO - Epoch [75][800/2353] lr: 1.267e-02, eta: 21:45:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 2.4497, loss: 2.4497 +2025-05-01 16:34:32,295 - pyskl - INFO - Epoch [75][900/2353] lr: 1.266e-02, eta: 21:44:56, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 2.4985, loss: 2.4985 +2025-05-01 16:35:16,224 - pyskl - INFO - Epoch [75][1000/2353] lr: 1.265e-02, eta: 21:44:11, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9925, loss_cls: 2.5809, loss: 2.5809 +2025-05-01 16:36:00,126 - pyskl - INFO - Epoch [75][1100/2353] lr: 1.264e-02, eta: 21:43:27, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 2.3998, loss: 2.3998 +2025-05-01 16:36:44,062 - pyskl - INFO - Epoch [75][1200/2353] lr: 1.263e-02, eta: 21:42:43, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9912, loss_cls: 2.4956, loss: 2.4956 +2025-05-01 16:37:28,015 - pyskl - INFO - Epoch [75][1300/2353] lr: 1.262e-02, eta: 21:41:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 2.5862, loss: 2.5862 +2025-05-01 16:38:11,910 - pyskl - INFO - Epoch [75][1400/2353] lr: 1.261e-02, eta: 21:41:15, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 2.3958, loss: 2.3958 +2025-05-01 16:38:55,891 - pyskl - INFO - Epoch [75][1500/2353] lr: 1.260e-02, eta: 21:40:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 2.6098, loss: 2.6098 +2025-05-01 16:39:39,770 - pyskl - INFO - Epoch [75][1600/2353] lr: 1.258e-02, eta: 21:39:47, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9906, loss_cls: 2.5429, loss: 2.5429 +2025-05-01 16:40:23,731 - pyskl - INFO - Epoch [75][1700/2353] lr: 1.257e-02, eta: 21:39:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 2.4277, loss: 2.4277 +2025-05-01 16:41:07,682 - pyskl - INFO - Epoch [75][1800/2353] lr: 1.256e-02, eta: 21:38:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9888, loss_cls: 2.5318, loss: 2.5318 +2025-05-01 16:41:51,533 - pyskl - INFO - Epoch [75][1900/2353] lr: 1.255e-02, eta: 21:37:35, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9925, loss_cls: 2.5601, loss: 2.5601 +2025-05-01 16:42:35,513 - pyskl - INFO - Epoch [75][2000/2353] lr: 1.254e-02, eta: 21:36:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9925, loss_cls: 2.4749, loss: 2.4749 +2025-05-01 16:43:19,600 - pyskl - INFO - Epoch [75][2100/2353] lr: 1.253e-02, eta: 21:36:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 2.4395, loss: 2.4395 +2025-05-01 16:44:03,570 - pyskl - INFO - Epoch [75][2200/2353] lr: 1.252e-02, eta: 21:35:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9850, loss_cls: 2.4657, loss: 2.4657 +2025-05-01 16:44:47,563 - pyskl - INFO - Epoch [75][2300/2353] lr: 1.251e-02, eta: 21:34:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 2.7109, loss: 2.7109 +2025-05-01 16:45:11,500 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-05-01 16:46:41,349 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 16:46:41,424 - pyskl - INFO - +top1_acc 0.8958 +top5_acc 0.9913 +2025-05-01 16:46:41,427 - pyskl - INFO - Epoch(val) [75][1184] top1_acc: 0.8958, top5_acc: 0.9913 +2025-05-01 16:47:46,482 - pyskl - INFO - Epoch [76][100/2353] lr: 1.249e-02, eta: 21:33:29, time: 0.651, data_time: 0.209, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 2.5039, loss: 2.5039 +2025-05-01 16:48:30,567 - pyskl - INFO - Epoch [76][200/2353] lr: 1.248e-02, eta: 21:32:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 2.4649, loss: 2.4649 +2025-05-01 16:49:14,660 - pyskl - INFO - Epoch [76][300/2353] lr: 1.247e-02, eta: 21:32:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 2.4285, loss: 2.4285 +2025-05-01 16:49:58,823 - pyskl - INFO - Epoch [76][400/2353] lr: 1.246e-02, eta: 21:31:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 2.4276, loss: 2.4276 +2025-05-01 16:50:42,970 - pyskl - INFO - Epoch [76][500/2353] lr: 1.244e-02, eta: 21:30:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 2.4982, loss: 2.4982 +2025-05-01 16:51:27,097 - pyskl - INFO - Epoch [76][600/2353] lr: 1.243e-02, eta: 21:29:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 2.3499, loss: 2.3499 +2025-05-01 16:52:11,130 - pyskl - INFO - Epoch [76][700/2353] lr: 1.242e-02, eta: 21:29:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 2.4258, loss: 2.4258 +2025-05-01 16:52:55,325 - pyskl - INFO - Epoch [76][800/2353] lr: 1.241e-02, eta: 21:28:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9938, loss_cls: 2.5816, loss: 2.5816 +2025-05-01 16:53:39,546 - pyskl - INFO - Epoch [76][900/2353] lr: 1.240e-02, eta: 21:27:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 2.4880, loss: 2.4880 +2025-05-01 16:54:23,674 - pyskl - INFO - Epoch [76][1000/2353] lr: 1.239e-02, eta: 21:26:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9925, loss_cls: 2.5644, loss: 2.5644 +2025-05-01 16:55:07,694 - pyskl - INFO - Epoch [76][1100/2353] lr: 1.238e-02, eta: 21:26:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 2.4965, loss: 2.4965 +2025-05-01 16:55:51,804 - pyskl - INFO - Epoch [76][1200/2353] lr: 1.237e-02, eta: 21:25:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9938, loss_cls: 2.4923, loss: 2.4923 +2025-05-01 16:56:35,783 - pyskl - INFO - Epoch [76][1300/2353] lr: 1.236e-02, eta: 21:24:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9912, loss_cls: 2.5657, loss: 2.5657 +2025-05-01 16:57:20,015 - pyskl - INFO - Epoch [76][1400/2353] lr: 1.234e-02, eta: 21:23:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 2.5128, loss: 2.5128 +2025-05-01 16:58:04,252 - pyskl - INFO - Epoch [76][1500/2353] lr: 1.233e-02, eta: 21:23:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9869, loss_cls: 2.5412, loss: 2.5412 +2025-05-01 16:58:48,402 - pyskl - INFO - Epoch [76][1600/2353] lr: 1.232e-02, eta: 21:22:31, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 2.4740, loss: 2.4740 +2025-05-01 16:59:32,564 - pyskl - INFO - Epoch [76][1700/2353] lr: 1.231e-02, eta: 21:21:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9944, loss_cls: 2.3847, loss: 2.3847 +2025-05-01 17:00:16,723 - pyskl - INFO - Epoch [76][1800/2353] lr: 1.230e-02, eta: 21:21:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 2.6157, loss: 2.6157 +2025-05-01 17:01:00,789 - pyskl - INFO - Epoch [76][1900/2353] lr: 1.229e-02, eta: 21:20:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 2.5180, loss: 2.5180 +2025-05-01 17:01:44,853 - pyskl - INFO - Epoch [76][2000/2353] lr: 1.228e-02, eta: 21:19:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9938, loss_cls: 2.5609, loss: 2.5609 +2025-05-01 17:02:28,928 - pyskl - INFO - Epoch [76][2100/2353] lr: 1.227e-02, eta: 21:18:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.3854, loss: 2.3854 +2025-05-01 17:03:12,976 - pyskl - INFO - Epoch [76][2200/2353] lr: 1.226e-02, eta: 21:18:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 2.5857, loss: 2.5857 +2025-05-01 17:03:57,168 - pyskl - INFO - Epoch [76][2300/2353] lr: 1.224e-02, eta: 21:17:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9838, loss_cls: 2.6113, loss: 2.6113 +2025-05-01 17:04:21,288 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-05-01 17:05:50,901 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 17:05:50,978 - pyskl - INFO - +top1_acc 0.8909 +top5_acc 0.9906 +2025-05-01 17:05:50,981 - pyskl - INFO - Epoch(val) [76][1184] top1_acc: 0.8909, top5_acc: 0.9906 +2025-05-01 17:06:55,756 - pyskl - INFO - Epoch [77][100/2353] lr: 1.223e-02, eta: 21:16:14, time: 0.648, data_time: 0.208, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9906, loss_cls: 2.3518, loss: 2.3518 +2025-05-01 17:07:39,802 - pyskl - INFO - Epoch [77][200/2353] lr: 1.222e-02, eta: 21:15:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 2.3910, loss: 2.3910 +2025-05-01 17:08:23,899 - pyskl - INFO - Epoch [77][300/2353] lr: 1.220e-02, eta: 21:14:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 2.4282, loss: 2.4282 +2025-05-01 17:09:07,930 - pyskl - INFO - Epoch [77][400/2353] lr: 1.219e-02, eta: 21:14:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9856, loss_cls: 2.5662, loss: 2.5662 +2025-05-01 17:09:52,094 - pyskl - INFO - Epoch [77][500/2353] lr: 1.218e-02, eta: 21:13:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9950, loss_cls: 2.4609, loss: 2.4609 +2025-05-01 17:10:36,262 - pyskl - INFO - Epoch [77][600/2353] lr: 1.217e-02, eta: 21:12:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9938, loss_cls: 2.3859, loss: 2.3859 +2025-05-01 17:11:20,493 - pyskl - INFO - Epoch [77][700/2353] lr: 1.216e-02, eta: 21:11:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 2.4194, loss: 2.4194 +2025-05-01 17:12:04,648 - pyskl - INFO - Epoch [77][800/2353] lr: 1.215e-02, eta: 21:11:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 2.4801, loss: 2.4801 +2025-05-01 17:12:48,756 - pyskl - INFO - Epoch [77][900/2353] lr: 1.214e-02, eta: 21:10:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 2.3738, loss: 2.3738 +2025-05-01 17:13:32,764 - pyskl - INFO - Epoch [77][1000/2353] lr: 1.213e-02, eta: 21:09:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9869, loss_cls: 2.4656, loss: 2.4656 +2025-05-01 17:14:16,768 - pyskl - INFO - Epoch [77][1100/2353] lr: 1.212e-02, eta: 21:08:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 2.4627, loss: 2.4627 +2025-05-01 17:15:00,836 - pyskl - INFO - Epoch [77][1200/2353] lr: 1.210e-02, eta: 21:08:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 2.6478, loss: 2.6478 +2025-05-01 17:15:44,863 - pyskl - INFO - Epoch [77][1300/2353] lr: 1.209e-02, eta: 21:07:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 2.4200, loss: 2.4200 +2025-05-01 17:16:28,974 - pyskl - INFO - Epoch [77][1400/2353] lr: 1.208e-02, eta: 21:06:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9850, loss_cls: 2.4913, loss: 2.4913 +2025-05-01 17:17:13,131 - pyskl - INFO - Epoch [77][1500/2353] lr: 1.207e-02, eta: 21:05:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 2.5229, loss: 2.5229 +2025-05-01 17:17:57,311 - pyskl - INFO - Epoch [77][1600/2353] lr: 1.206e-02, eta: 21:05:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9881, loss_cls: 2.5371, loss: 2.5371 +2025-05-01 17:18:41,403 - pyskl - INFO - Epoch [77][1700/2353] lr: 1.205e-02, eta: 21:04:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9938, loss_cls: 2.4778, loss: 2.4778 +2025-05-01 17:19:25,466 - pyskl - INFO - Epoch [77][1800/2353] lr: 1.204e-02, eta: 21:03:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9856, loss_cls: 2.4239, loss: 2.4239 +2025-05-01 17:20:09,591 - pyskl - INFO - Epoch [77][1900/2353] lr: 1.203e-02, eta: 21:03:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9888, loss_cls: 2.3389, loss: 2.3389 +2025-05-01 17:20:53,699 - pyskl - INFO - Epoch [77][2000/2353] lr: 1.202e-02, eta: 21:02:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 2.4646, loss: 2.4646 +2025-05-01 17:21:37,755 - pyskl - INFO - Epoch [77][2100/2353] lr: 1.200e-02, eta: 21:01:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 2.4342, loss: 2.4342 +2025-05-01 17:22:21,896 - pyskl - INFO - Epoch [77][2200/2353] lr: 1.199e-02, eta: 21:00:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 2.6151, loss: 2.6151 +2025-05-01 17:23:06,011 - pyskl - INFO - Epoch [77][2300/2353] lr: 1.198e-02, eta: 21:00:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 2.5370, loss: 2.5370 +2025-05-01 17:23:30,204 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-05-01 17:25:00,171 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 17:25:00,246 - pyskl - INFO - +top1_acc 0.8940 +top5_acc 0.9905 +2025-05-01 17:25:00,250 - pyskl - INFO - Epoch(val) [77][1184] top1_acc: 0.8940, top5_acc: 0.9905 +2025-05-01 17:26:05,996 - pyskl - INFO - Epoch [78][100/2353] lr: 1.197e-02, eta: 20:58:59, time: 0.657, data_time: 0.215, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9956, loss_cls: 2.4326, loss: 2.4326 +2025-05-01 17:26:50,046 - pyskl - INFO - Epoch [78][200/2353] lr: 1.195e-02, eta: 20:58:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 2.3396, loss: 2.3396 +2025-05-01 17:27:34,115 - pyskl - INFO - Epoch [78][300/2353] lr: 1.194e-02, eta: 20:57:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 2.3099, loss: 2.3099 +2025-05-01 17:28:18,315 - pyskl - INFO - Epoch [78][400/2353] lr: 1.193e-02, eta: 20:56:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 2.3531, loss: 2.3531 +2025-05-01 17:29:02,483 - pyskl - INFO - Epoch [78][500/2353] lr: 1.192e-02, eta: 20:56:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 2.4282, loss: 2.4282 +2025-05-01 17:29:46,575 - pyskl - INFO - Epoch [78][600/2353] lr: 1.191e-02, eta: 20:55:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9975, loss_cls: 2.4275, loss: 2.4275 +2025-05-01 17:30:30,626 - pyskl - INFO - Epoch [78][700/2353] lr: 1.190e-02, eta: 20:54:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9938, loss_cls: 2.3747, loss: 2.3747 +2025-05-01 17:31:14,668 - pyskl - INFO - Epoch [78][800/2353] lr: 1.189e-02, eta: 20:53:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 2.4346, loss: 2.4346 +2025-05-01 17:31:58,685 - pyskl - INFO - Epoch [78][900/2353] lr: 1.188e-02, eta: 20:53:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 2.4045, loss: 2.4045 +2025-05-01 17:32:42,765 - pyskl - INFO - Epoch [78][1000/2353] lr: 1.187e-02, eta: 20:52:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 2.3813, loss: 2.3813 +2025-05-01 17:33:26,910 - pyskl - INFO - Epoch [78][1100/2353] lr: 1.185e-02, eta: 20:51:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9881, loss_cls: 2.5053, loss: 2.5053 +2025-05-01 17:34:10,847 - pyskl - INFO - Epoch [78][1200/2353] lr: 1.184e-02, eta: 20:50:56, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 2.4485, loss: 2.4485 +2025-05-01 17:34:54,785 - pyskl - INFO - Epoch [78][1300/2353] lr: 1.183e-02, eta: 20:50:12, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 2.4312, loss: 2.4312 +2025-05-01 17:35:38,701 - pyskl - INFO - Epoch [78][1400/2353] lr: 1.182e-02, eta: 20:49:28, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 2.4835, loss: 2.4835 +2025-05-01 17:36:22,712 - pyskl - INFO - Epoch [78][1500/2353] lr: 1.181e-02, eta: 20:48:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 2.3856, loss: 2.3856 +2025-05-01 17:37:06,738 - pyskl - INFO - Epoch [78][1600/2353] lr: 1.180e-02, eta: 20:48:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 2.4653, loss: 2.4653 +2025-05-01 17:37:50,717 - pyskl - INFO - Epoch [78][1700/2353] lr: 1.179e-02, eta: 20:47:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9906, loss_cls: 2.5193, loss: 2.5193 +2025-05-01 17:38:34,670 - pyskl - INFO - Epoch [78][1800/2353] lr: 1.178e-02, eta: 20:46:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 2.5022, loss: 2.5022 +2025-05-01 17:39:18,620 - pyskl - INFO - Epoch [78][1900/2353] lr: 1.177e-02, eta: 20:45:47, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 2.4954, loss: 2.4954 +2025-05-01 17:40:02,683 - pyskl - INFO - Epoch [78][2000/2353] lr: 1.175e-02, eta: 20:45:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 2.5917, loss: 2.5917 +2025-05-01 17:40:46,700 - pyskl - INFO - Epoch [78][2100/2353] lr: 1.174e-02, eta: 20:44:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9919, loss_cls: 2.4972, loss: 2.4972 +2025-05-01 17:41:30,668 - pyskl - INFO - Epoch [78][2200/2353] lr: 1.173e-02, eta: 20:43:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9912, loss_cls: 2.4956, loss: 2.4956 +2025-05-01 17:42:14,683 - pyskl - INFO - Epoch [78][2300/2353] lr: 1.172e-02, eta: 20:42:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9919, loss_cls: 2.4840, loss: 2.4840 +2025-05-01 17:42:38,671 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-05-01 17:44:08,477 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 17:44:08,554 - pyskl - INFO - +top1_acc 0.9040 +top5_acc 0.9914 +2025-05-01 17:44:08,616 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_70.pth was removed +2025-05-01 17:44:09,767 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_78.pth. +2025-05-01 17:44:09,767 - pyskl - INFO - Best top1_acc is 0.9040 at 78 epoch. +2025-05-01 17:44:09,771 - pyskl - INFO - Epoch(val) [78][1184] top1_acc: 0.9040, top5_acc: 0.9914 +2025-05-01 17:45:14,504 - pyskl - INFO - Epoch [79][100/2353] lr: 1.170e-02, eta: 20:41:42, time: 0.647, data_time: 0.209, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9981, loss_cls: 2.2944, loss: 2.2944 +2025-05-01 17:45:58,412 - pyskl - INFO - Epoch [79][200/2353] lr: 1.169e-02, eta: 20:40:58, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 2.4743, loss: 2.4743 +2025-05-01 17:46:42,387 - pyskl - INFO - Epoch [79][300/2353] lr: 1.168e-02, eta: 20:40:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 2.4141, loss: 2.4141 +2025-05-01 17:47:26,687 - pyskl - INFO - Epoch [79][400/2353] lr: 1.167e-02, eta: 20:39:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 2.3602, loss: 2.3602 +2025-05-01 17:48:10,855 - pyskl - INFO - Epoch [79][500/2353] lr: 1.166e-02, eta: 20:38:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 2.3837, loss: 2.3837 +2025-05-01 17:48:54,932 - pyskl - INFO - Epoch [79][600/2353] lr: 1.165e-02, eta: 20:38:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 2.4616, loss: 2.4616 +2025-05-01 17:49:38,995 - pyskl - INFO - Epoch [79][700/2353] lr: 1.164e-02, eta: 20:37:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 2.3236, loss: 2.3236 +2025-05-01 17:50:22,959 - pyskl - INFO - Epoch [79][800/2353] lr: 1.163e-02, eta: 20:36:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9894, loss_cls: 2.4282, loss: 2.4282 +2025-05-01 17:51:06,930 - pyskl - INFO - Epoch [79][900/2353] lr: 1.162e-02, eta: 20:35:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 2.4443, loss: 2.4443 +2025-05-01 17:51:50,902 - pyskl - INFO - Epoch [79][1000/2353] lr: 1.160e-02, eta: 20:35:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 2.3389, loss: 2.3389 +2025-05-01 17:52:35,008 - pyskl - INFO - Epoch [79][1100/2353] lr: 1.159e-02, eta: 20:34:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 2.4027, loss: 2.4027 +2025-05-01 17:53:19,017 - pyskl - INFO - Epoch [79][1200/2353] lr: 1.158e-02, eta: 20:33:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 2.3729, loss: 2.3729 +2025-05-01 17:54:03,118 - pyskl - INFO - Epoch [79][1300/2353] lr: 1.157e-02, eta: 20:32:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 2.5252, loss: 2.5252 +2025-05-01 17:54:47,120 - pyskl - INFO - Epoch [79][1400/2353] lr: 1.156e-02, eta: 20:32:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 2.3783, loss: 2.3783 +2025-05-01 17:55:31,175 - pyskl - INFO - Epoch [79][1500/2353] lr: 1.155e-02, eta: 20:31:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9925, loss_cls: 2.4711, loss: 2.4711 +2025-05-01 17:56:15,121 - pyskl - INFO - Epoch [79][1600/2353] lr: 1.154e-02, eta: 20:30:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 2.4041, loss: 2.4041 +2025-05-01 17:56:59,096 - pyskl - INFO - Epoch [79][1700/2353] lr: 1.153e-02, eta: 20:29:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 2.4891, loss: 2.4891 +2025-05-01 17:57:43,124 - pyskl - INFO - Epoch [79][1800/2353] lr: 1.152e-02, eta: 20:29:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 2.5351, loss: 2.5351 +2025-05-01 17:58:27,089 - pyskl - INFO - Epoch [79][1900/2353] lr: 1.150e-02, eta: 20:28:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 2.3641, loss: 2.3641 +2025-05-01 17:59:11,059 - pyskl - INFO - Epoch [79][2000/2353] lr: 1.149e-02, eta: 20:27:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 2.4591, loss: 2.4591 +2025-05-01 17:59:55,031 - pyskl - INFO - Epoch [79][2100/2353] lr: 1.148e-02, eta: 20:27:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 2.4022, loss: 2.4022 +2025-05-01 18:00:39,086 - pyskl - INFO - Epoch [79][2200/2353] lr: 1.147e-02, eta: 20:26:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 2.4275, loss: 2.4275 +2025-05-01 18:01:23,038 - pyskl - INFO - Epoch [79][2300/2353] lr: 1.146e-02, eta: 20:25:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 2.5240, loss: 2.5240 +2025-05-01 18:01:47,059 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-05-01 18:03:17,026 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 18:03:17,103 - pyskl - INFO - +top1_acc 0.9124 +top5_acc 0.9919 +2025-05-01 18:03:17,163 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_78.pth was removed +2025-05-01 18:03:18,272 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2025-05-01 18:03:18,273 - pyskl - INFO - Best top1_acc is 0.9124 at 79 epoch. +2025-05-01 18:03:18,276 - pyskl - INFO - Epoch(val) [79][1184] top1_acc: 0.9124, top5_acc: 0.9919 +2025-05-01 18:04:23,505 - pyskl - INFO - Epoch [80][100/2353] lr: 1.144e-02, eta: 20:24:25, time: 0.652, data_time: 0.213, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 2.3055, loss: 2.3055 +2025-05-01 18:05:07,561 - pyskl - INFO - Epoch [80][200/2353] lr: 1.143e-02, eta: 20:23:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 2.3509, loss: 2.3509 +2025-05-01 18:05:51,866 - pyskl - INFO - Epoch [80][300/2353] lr: 1.142e-02, eta: 20:22:57, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 2.3107, loss: 2.3107 +2025-05-01 18:06:36,086 - pyskl - INFO - Epoch [80][400/2353] lr: 1.141e-02, eta: 20:22:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 2.2848, loss: 2.2848 +2025-05-01 18:07:20,268 - pyskl - INFO - Epoch [80][500/2353] lr: 1.140e-02, eta: 20:21:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 2.2815, loss: 2.2815 +2025-05-01 18:08:04,383 - pyskl - INFO - Epoch [80][600/2353] lr: 1.139e-02, eta: 20:20:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 2.3711, loss: 2.3711 +2025-05-01 18:08:48,413 - pyskl - INFO - Epoch [80][700/2353] lr: 1.138e-02, eta: 20:20:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9969, loss_cls: 2.3140, loss: 2.3140 +2025-05-01 18:09:32,454 - pyskl - INFO - Epoch [80][800/2353] lr: 1.137e-02, eta: 20:19:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 2.3450, loss: 2.3450 +2025-05-01 18:10:16,659 - pyskl - INFO - Epoch [80][900/2353] lr: 1.135e-02, eta: 20:18:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 2.4211, loss: 2.4211 +2025-05-01 18:11:00,805 - pyskl - INFO - Epoch [80][1000/2353] lr: 1.134e-02, eta: 20:17:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 2.4081, loss: 2.4081 +2025-05-01 18:11:44,823 - pyskl - INFO - Epoch [80][1100/2353] lr: 1.133e-02, eta: 20:17:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9900, loss_cls: 2.4634, loss: 2.4634 +2025-05-01 18:12:28,946 - pyskl - INFO - Epoch [80][1200/2353] lr: 1.132e-02, eta: 20:16:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9925, loss_cls: 2.4533, loss: 2.4533 +2025-05-01 18:13:13,096 - pyskl - INFO - Epoch [80][1300/2353] lr: 1.131e-02, eta: 20:15:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 2.3962, loss: 2.3962 +2025-05-01 18:13:57,351 - pyskl - INFO - Epoch [80][1400/2353] lr: 1.130e-02, eta: 20:14:54, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 2.3808, loss: 2.3808 +2025-05-01 18:14:41,691 - pyskl - INFO - Epoch [80][1500/2353] lr: 1.129e-02, eta: 20:14:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 2.3139, loss: 2.3139 +2025-05-01 18:15:26,103 - pyskl - INFO - Epoch [80][1600/2353] lr: 1.128e-02, eta: 20:13:27, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9950, loss_cls: 2.4248, loss: 2.4248 +2025-05-01 18:16:10,239 - pyskl - INFO - Epoch [80][1700/2353] lr: 1.127e-02, eta: 20:12:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 2.3276, loss: 2.3276 +2025-05-01 18:16:54,304 - pyskl - INFO - Epoch [80][1800/2353] lr: 1.125e-02, eta: 20:11:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9819, loss_cls: 2.5411, loss: 2.5411 +2025-05-01 18:17:38,461 - pyskl - INFO - Epoch [80][1900/2353] lr: 1.124e-02, eta: 20:11:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 2.3702, loss: 2.3702 +2025-05-01 18:18:22,551 - pyskl - INFO - Epoch [80][2000/2353] lr: 1.123e-02, eta: 20:10:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 2.4309, loss: 2.4309 +2025-05-01 18:19:06,663 - pyskl - INFO - Epoch [80][2100/2353] lr: 1.122e-02, eta: 20:09:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 2.4089, loss: 2.4089 +2025-05-01 18:19:50,717 - pyskl - INFO - Epoch [80][2200/2353] lr: 1.121e-02, eta: 20:09:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9925, loss_cls: 2.5439, loss: 2.5439 +2025-05-01 18:20:34,709 - pyskl - INFO - Epoch [80][2300/2353] lr: 1.120e-02, eta: 20:08:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 2.4257, loss: 2.4257 +2025-05-01 18:20:58,750 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-05-01 18:22:28,661 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 18:22:28,736 - pyskl - INFO - +top1_acc 0.9031 +top5_acc 0.9872 +2025-05-01 18:22:28,740 - pyskl - INFO - Epoch(val) [80][1184] top1_acc: 0.9031, top5_acc: 0.9872 +2025-05-01 18:23:33,834 - pyskl - INFO - Epoch [81][100/2353] lr: 1.118e-02, eta: 20:07:10, time: 0.651, data_time: 0.208, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 2.4956, loss: 2.4956 +2025-05-01 18:24:18,137 - pyskl - INFO - Epoch [81][200/2353] lr: 1.117e-02, eta: 20:06:27, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9956, loss_cls: 2.3370, loss: 2.3370 +2025-05-01 18:25:02,224 - pyskl - INFO - Epoch [81][300/2353] lr: 1.116e-02, eta: 20:05:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 2.3789, loss: 2.3789 +2025-05-01 18:25:46,392 - pyskl - INFO - Epoch [81][400/2353] lr: 1.115e-02, eta: 20:04:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 2.3116, loss: 2.3116 +2025-05-01 18:26:30,481 - pyskl - INFO - Epoch [81][500/2353] lr: 1.114e-02, eta: 20:04:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 2.3518, loss: 2.3518 +2025-05-01 18:27:14,565 - pyskl - INFO - Epoch [81][600/2353] lr: 1.113e-02, eta: 20:03:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9944, loss_cls: 2.4218, loss: 2.4218 +2025-05-01 18:27:58,602 - pyskl - INFO - Epoch [81][700/2353] lr: 1.112e-02, eta: 20:02:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 2.3974, loss: 2.3974 +2025-05-01 18:28:42,638 - pyskl - INFO - Epoch [81][800/2353] lr: 1.111e-02, eta: 20:02:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 2.2091, loss: 2.2091 +2025-05-01 18:29:26,682 - pyskl - INFO - Epoch [81][900/2353] lr: 1.109e-02, eta: 20:01:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9944, loss_cls: 2.4004, loss: 2.4004 +2025-05-01 18:30:10,789 - pyskl - INFO - Epoch [81][1000/2353] lr: 1.108e-02, eta: 20:00:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 2.3089, loss: 2.3089 +2025-05-01 18:30:55,047 - pyskl - INFO - Epoch [81][1100/2353] lr: 1.107e-02, eta: 19:59:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 2.4011, loss: 2.4011 +2025-05-01 18:31:39,165 - pyskl - INFO - Epoch [81][1200/2353] lr: 1.106e-02, eta: 19:59:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9938, loss_cls: 2.3828, loss: 2.3828 +2025-05-01 18:32:23,298 - pyskl - INFO - Epoch [81][1300/2353] lr: 1.105e-02, eta: 19:58:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9938, loss_cls: 2.3658, loss: 2.3658 +2025-05-01 18:33:07,472 - pyskl - INFO - Epoch [81][1400/2353] lr: 1.104e-02, eta: 19:57:40, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 2.5061, loss: 2.5061 +2025-05-01 18:33:51,598 - pyskl - INFO - Epoch [81][1500/2353] lr: 1.103e-02, eta: 19:56:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 2.3431, loss: 2.3431 +2025-05-01 18:34:35,718 - pyskl - INFO - Epoch [81][1600/2353] lr: 1.102e-02, eta: 19:56:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 2.4034, loss: 2.4034 +2025-05-01 18:35:19,859 - pyskl - INFO - Epoch [81][1700/2353] lr: 1.101e-02, eta: 19:55:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 2.2482, loss: 2.2482 +2025-05-01 18:36:03,947 - pyskl - INFO - Epoch [81][1800/2353] lr: 1.099e-02, eta: 19:54:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 2.4282, loss: 2.4282 +2025-05-01 18:36:48,004 - pyskl - INFO - Epoch [81][1900/2353] lr: 1.098e-02, eta: 19:54:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9862, loss_cls: 2.4106, loss: 2.4106 +2025-05-01 18:37:32,094 - pyskl - INFO - Epoch [81][2000/2353] lr: 1.097e-02, eta: 19:53:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 2.4899, loss: 2.4899 +2025-05-01 18:38:16,235 - pyskl - INFO - Epoch [81][2100/2353] lr: 1.096e-02, eta: 19:52:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 2.4010, loss: 2.4010 +2025-05-01 18:39:00,327 - pyskl - INFO - Epoch [81][2200/2353] lr: 1.095e-02, eta: 19:51:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 2.4874, loss: 2.4874 +2025-05-01 18:39:44,395 - pyskl - INFO - Epoch [81][2300/2353] lr: 1.094e-02, eta: 19:51:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 2.4924, loss: 2.4924 +2025-05-01 18:40:08,537 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-05-01 18:41:40,013 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 18:41:40,089 - pyskl - INFO - +top1_acc 0.9118 +top5_acc 0.9923 +2025-05-01 18:41:40,092 - pyskl - INFO - Epoch(val) [81][1184] top1_acc: 0.9118, top5_acc: 0.9923 +2025-05-01 18:42:45,383 - pyskl - INFO - Epoch [82][100/2353] lr: 1.092e-02, eta: 19:49:55, time: 0.653, data_time: 0.213, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 2.2660, loss: 2.2660 +2025-05-01 18:43:29,446 - pyskl - INFO - Epoch [82][200/2353] lr: 1.091e-02, eta: 19:49:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9962, loss_cls: 2.2646, loss: 2.2646 +2025-05-01 18:44:13,733 - pyskl - INFO - Epoch [82][300/2353] lr: 1.090e-02, eta: 19:48:28, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9900, loss_cls: 2.2840, loss: 2.2840 +2025-05-01 18:44:57,876 - pyskl - INFO - Epoch [82][400/2353] lr: 1.089e-02, eta: 19:47:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 2.3322, loss: 2.3322 +2025-05-01 18:45:42,034 - pyskl - INFO - Epoch [82][500/2353] lr: 1.088e-02, eta: 19:47:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 2.3040, loss: 2.3040 +2025-05-01 18:46:26,129 - pyskl - INFO - Epoch [82][600/2353] lr: 1.087e-02, eta: 19:46:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 2.2923, loss: 2.2923 +2025-05-01 18:47:10,202 - pyskl - INFO - Epoch [82][700/2353] lr: 1.086e-02, eta: 19:45:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9931, loss_cls: 2.3296, loss: 2.3296 +2025-05-01 18:47:54,305 - pyskl - INFO - Epoch [82][800/2353] lr: 1.085e-02, eta: 19:44:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 2.2805, loss: 2.2805 +2025-05-01 18:48:38,553 - pyskl - INFO - Epoch [82][900/2353] lr: 1.083e-02, eta: 19:44:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 2.3776, loss: 2.3776 +2025-05-01 18:49:22,927 - pyskl - INFO - Epoch [82][1000/2353] lr: 1.082e-02, eta: 19:43:21, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 2.3588, loss: 2.3588 +2025-05-01 18:50:07,032 - pyskl - INFO - Epoch [82][1100/2353] lr: 1.081e-02, eta: 19:42:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 2.4147, loss: 2.4147 +2025-05-01 18:50:51,187 - pyskl - INFO - Epoch [82][1200/2353] lr: 1.080e-02, eta: 19:41:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 2.3120, loss: 2.3120 +2025-05-01 18:51:35,290 - pyskl - INFO - Epoch [82][1300/2353] lr: 1.079e-02, eta: 19:41:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9938, loss_cls: 2.3922, loss: 2.3922 +2025-05-01 18:52:19,402 - pyskl - INFO - Epoch [82][1400/2353] lr: 1.078e-02, eta: 19:40:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9925, loss_cls: 2.4396, loss: 2.4396 +2025-05-01 18:53:03,462 - pyskl - INFO - Epoch [82][1500/2353] lr: 1.077e-02, eta: 19:39:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 2.3982, loss: 2.3982 +2025-05-01 18:53:47,498 - pyskl - INFO - Epoch [82][1600/2353] lr: 1.076e-02, eta: 19:38:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 2.2948, loss: 2.2948 +2025-05-01 18:54:31,591 - pyskl - INFO - Epoch [82][1700/2353] lr: 1.075e-02, eta: 19:38:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9894, loss_cls: 2.3821, loss: 2.3821 +2025-05-01 18:55:15,622 - pyskl - INFO - Epoch [82][1800/2353] lr: 1.073e-02, eta: 19:37:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 2.4950, loss: 2.4950 +2025-05-01 18:55:59,799 - pyskl - INFO - Epoch [82][1900/2353] lr: 1.072e-02, eta: 19:36:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 2.4009, loss: 2.4009 +2025-05-01 18:56:43,986 - pyskl - INFO - Epoch [82][2000/2353] lr: 1.071e-02, eta: 19:36:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 2.3842, loss: 2.3842 +2025-05-01 18:57:28,246 - pyskl - INFO - Epoch [82][2100/2353] lr: 1.070e-02, eta: 19:35:18, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 2.3980, loss: 2.3980 +2025-05-01 18:58:12,319 - pyskl - INFO - Epoch [82][2200/2353] lr: 1.069e-02, eta: 19:34:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9888, loss_cls: 2.3884, loss: 2.3884 +2025-05-01 18:58:56,395 - pyskl - INFO - Epoch [82][2300/2353] lr: 1.068e-02, eta: 19:33:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9969, loss_cls: 2.3668, loss: 2.3668 +2025-05-01 18:59:20,441 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-05-01 19:00:50,284 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 19:00:50,360 - pyskl - INFO - +top1_acc 0.8949 +top5_acc 0.9904 +2025-05-01 19:00:50,364 - pyskl - INFO - Epoch(val) [82][1184] top1_acc: 0.8949, top5_acc: 0.9904 +2025-05-01 19:01:56,015 - pyskl - INFO - Epoch [83][100/2353] lr: 1.066e-02, eta: 19:32:41, time: 0.656, data_time: 0.217, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 2.2135, loss: 2.2135 +2025-05-01 19:02:40,001 - pyskl - INFO - Epoch [83][200/2353] lr: 1.065e-02, eta: 19:31:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 2.2858, loss: 2.2858 +2025-05-01 19:03:23,922 - pyskl - INFO - Epoch [83][300/2353] lr: 1.064e-02, eta: 19:31:13, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 2.2880, loss: 2.2880 +2025-05-01 19:04:07,906 - pyskl - INFO - Epoch [83][400/2353] lr: 1.063e-02, eta: 19:30:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 2.3431, loss: 2.3431 +2025-05-01 19:04:51,923 - pyskl - INFO - Epoch [83][500/2353] lr: 1.062e-02, eta: 19:29:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 2.3701, loss: 2.3701 +2025-05-01 19:05:35,878 - pyskl - INFO - Epoch [83][600/2353] lr: 1.061e-02, eta: 19:29:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 2.3141, loss: 2.3141 +2025-05-01 19:06:19,890 - pyskl - INFO - Epoch [83][700/2353] lr: 1.060e-02, eta: 19:28:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 2.4164, loss: 2.4164 +2025-05-01 19:07:03,909 - pyskl - INFO - Epoch [83][800/2353] lr: 1.059e-02, eta: 19:27:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9950, loss_cls: 2.3623, loss: 2.3623 +2025-05-01 19:07:48,026 - pyskl - INFO - Epoch [83][900/2353] lr: 1.058e-02, eta: 19:26:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 2.3528, loss: 2.3528 +2025-05-01 19:08:32,102 - pyskl - INFO - Epoch [83][1000/2353] lr: 1.056e-02, eta: 19:26:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9944, loss_cls: 2.4046, loss: 2.4046 +2025-05-01 19:09:16,133 - pyskl - INFO - Epoch [83][1100/2353] lr: 1.055e-02, eta: 19:25:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 2.3596, loss: 2.3596 +2025-05-01 19:10:00,545 - pyskl - INFO - Epoch [83][1200/2353] lr: 1.054e-02, eta: 19:24:38, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 2.3528, loss: 2.3528 +2025-05-01 19:10:44,738 - pyskl - INFO - Epoch [83][1300/2353] lr: 1.053e-02, eta: 19:23:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 2.3383, loss: 2.3383 +2025-05-01 19:11:28,786 - pyskl - INFO - Epoch [83][1400/2353] lr: 1.052e-02, eta: 19:23:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9925, loss_cls: 2.3267, loss: 2.3267 +2025-05-01 19:12:12,738 - pyskl - INFO - Epoch [83][1500/2353] lr: 1.051e-02, eta: 19:22:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 2.3536, loss: 2.3536 +2025-05-01 19:12:56,740 - pyskl - INFO - Epoch [83][1600/2353] lr: 1.050e-02, eta: 19:21:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 2.3171, loss: 2.3171 +2025-05-01 19:13:40,723 - pyskl - INFO - Epoch [83][1700/2353] lr: 1.049e-02, eta: 19:20:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 2.3682, loss: 2.3682 +2025-05-01 19:14:24,643 - pyskl - INFO - Epoch [83][1800/2353] lr: 1.048e-02, eta: 19:20:14, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 2.3217, loss: 2.3217 +2025-05-01 19:15:08,626 - pyskl - INFO - Epoch [83][1900/2353] lr: 1.047e-02, eta: 19:19:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 2.4649, loss: 2.4649 +2025-05-01 19:15:52,566 - pyskl - INFO - Epoch [83][2000/2353] lr: 1.045e-02, eta: 19:18:45, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9894, loss_cls: 2.3495, loss: 2.3495 +2025-05-01 19:16:36,631 - pyskl - INFO - Epoch [83][2100/2353] lr: 1.044e-02, eta: 19:18:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 2.3357, loss: 2.3357 +2025-05-01 19:17:20,722 - pyskl - INFO - Epoch [83][2200/2353] lr: 1.043e-02, eta: 19:17:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 2.4077, loss: 2.4077 +2025-05-01 19:18:04,709 - pyskl - INFO - Epoch [83][2300/2353] lr: 1.042e-02, eta: 19:16:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9888, loss_cls: 2.4107, loss: 2.4107 +2025-05-01 19:18:28,661 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-05-01 19:19:58,586 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 19:19:58,661 - pyskl - INFO - +top1_acc 0.9037 +top5_acc 0.9907 +2025-05-01 19:19:58,665 - pyskl - INFO - Epoch(val) [83][1184] top1_acc: 0.9037, top5_acc: 0.9907 +2025-05-01 19:21:04,060 - pyskl - INFO - Epoch [84][100/2353] lr: 1.040e-02, eta: 19:15:25, time: 0.654, data_time: 0.211, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 2.2344, loss: 2.2344 +2025-05-01 19:21:48,195 - pyskl - INFO - Epoch [84][200/2353] lr: 1.039e-02, eta: 19:14:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9894, loss_cls: 2.3524, loss: 2.3524 +2025-05-01 19:22:32,323 - pyskl - INFO - Epoch [84][300/2353] lr: 1.038e-02, eta: 19:13:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 2.2936, loss: 2.2936 +2025-05-01 19:23:16,499 - pyskl - INFO - Epoch [84][400/2353] lr: 1.037e-02, eta: 19:13:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 2.2526, loss: 2.2526 +2025-05-01 19:24:00,580 - pyskl - INFO - Epoch [84][500/2353] lr: 1.036e-02, eta: 19:12:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 2.2816, loss: 2.2816 +2025-05-01 19:24:44,595 - pyskl - INFO - Epoch [84][600/2353] lr: 1.035e-02, eta: 19:11:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 2.2215, loss: 2.2215 +2025-05-01 19:25:28,673 - pyskl - INFO - Epoch [84][700/2353] lr: 1.034e-02, eta: 19:11:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 2.3098, loss: 2.3098 +2025-05-01 19:26:12,913 - pyskl - INFO - Epoch [84][800/2353] lr: 1.033e-02, eta: 19:10:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9956, loss_cls: 2.2907, loss: 2.2907 +2025-05-01 19:26:57,173 - pyskl - INFO - Epoch [84][900/2353] lr: 1.032e-02, eta: 19:09:34, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 2.2559, loss: 2.2559 +2025-05-01 19:27:41,471 - pyskl - INFO - Epoch [84][1000/2353] lr: 1.031e-02, eta: 19:08:50, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 2.2760, loss: 2.2760 +2025-05-01 19:28:25,683 - pyskl - INFO - Epoch [84][1100/2353] lr: 1.029e-02, eta: 19:08:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 2.3346, loss: 2.3346 +2025-05-01 19:29:09,868 - pyskl - INFO - Epoch [84][1200/2353] lr: 1.028e-02, eta: 19:07:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9962, loss_cls: 2.2866, loss: 2.2866 +2025-05-01 19:29:54,053 - pyskl - INFO - Epoch [84][1300/2353] lr: 1.027e-02, eta: 19:06:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 2.3823, loss: 2.3823 +2025-05-01 19:30:38,171 - pyskl - INFO - Epoch [84][1400/2353] lr: 1.026e-02, eta: 19:05:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 2.3619, loss: 2.3619 +2025-05-01 19:31:22,087 - pyskl - INFO - Epoch [84][1500/2353] lr: 1.025e-02, eta: 19:05:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 2.3693, loss: 2.3693 +2025-05-01 19:32:06,268 - pyskl - INFO - Epoch [84][1600/2353] lr: 1.024e-02, eta: 19:04:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 2.3562, loss: 2.3562 +2025-05-01 19:32:50,363 - pyskl - INFO - Epoch [84][1700/2353] lr: 1.023e-02, eta: 19:03:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 2.4447, loss: 2.4447 +2025-05-01 19:33:34,431 - pyskl - INFO - Epoch [84][1800/2353] lr: 1.022e-02, eta: 19:02:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 2.2847, loss: 2.2847 +2025-05-01 19:34:18,423 - pyskl - INFO - Epoch [84][1900/2353] lr: 1.021e-02, eta: 19:02:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9969, loss_cls: 2.3958, loss: 2.3958 +2025-05-01 19:35:02,503 - pyskl - INFO - Epoch [84][2000/2353] lr: 1.020e-02, eta: 19:01:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 2.4177, loss: 2.4177 +2025-05-01 19:35:46,555 - pyskl - INFO - Epoch [84][2100/2353] lr: 1.019e-02, eta: 19:00:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 2.3392, loss: 2.3392 +2025-05-01 19:36:30,534 - pyskl - INFO - Epoch [84][2200/2353] lr: 1.017e-02, eta: 19:00:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 2.3239, loss: 2.3239 +2025-05-01 19:37:14,529 - pyskl - INFO - Epoch [84][2300/2353] lr: 1.016e-02, eta: 18:59:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9938, loss_cls: 2.3694, loss: 2.3694 +2025-05-01 19:37:38,599 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-05-01 19:39:08,573 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 19:39:08,647 - pyskl - INFO - +top1_acc 0.9196 +top5_acc 0.9920 +2025-05-01 19:39:08,709 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_79.pth was removed +2025-05-01 19:39:09,802 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_84.pth. +2025-05-01 19:39:09,803 - pyskl - INFO - Best top1_acc is 0.9196 at 84 epoch. +2025-05-01 19:39:09,806 - pyskl - INFO - Epoch(val) [84][1184] top1_acc: 0.9196, top5_acc: 0.9920 +2025-05-01 19:40:14,980 - pyskl - INFO - Epoch [85][100/2353] lr: 1.015e-02, eta: 18:58:10, time: 0.652, data_time: 0.211, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9981, loss_cls: 2.1690, loss: 2.1690 +2025-05-01 19:40:59,009 - pyskl - INFO - Epoch [85][200/2353] lr: 1.014e-02, eta: 18:57:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 2.2399, loss: 2.2399 +2025-05-01 19:41:43,066 - pyskl - INFO - Epoch [85][300/2353] lr: 1.013e-02, eta: 18:56:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 2.3041, loss: 2.3041 +2025-05-01 19:42:27,095 - pyskl - INFO - Epoch [85][400/2353] lr: 1.011e-02, eta: 18:55:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 2.2773, loss: 2.2773 +2025-05-01 19:43:11,123 - pyskl - INFO - Epoch [85][500/2353] lr: 1.010e-02, eta: 18:55:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9944, loss_cls: 2.2327, loss: 2.2327 +2025-05-01 19:43:55,243 - pyskl - INFO - Epoch [85][600/2353] lr: 1.009e-02, eta: 18:54:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9950, loss_cls: 2.3941, loss: 2.3941 +2025-05-01 19:44:39,382 - pyskl - INFO - Epoch [85][700/2353] lr: 1.008e-02, eta: 18:53:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 2.4180, loss: 2.4180 +2025-05-01 19:45:23,503 - pyskl - INFO - Epoch [85][800/2353] lr: 1.007e-02, eta: 18:53:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 2.3495, loss: 2.3495 +2025-05-01 19:46:07,694 - pyskl - INFO - Epoch [85][900/2353] lr: 1.006e-02, eta: 18:52:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9962, loss_cls: 2.3018, loss: 2.3018 +2025-05-01 19:46:51,858 - pyskl - INFO - Epoch [85][1000/2353] lr: 1.005e-02, eta: 18:51:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9950, loss_cls: 2.3329, loss: 2.3329 +2025-05-01 19:47:35,920 - pyskl - INFO - Epoch [85][1100/2353] lr: 1.004e-02, eta: 18:50:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 2.2587, loss: 2.2587 +2025-05-01 19:48:20,004 - pyskl - INFO - Epoch [85][1200/2353] lr: 1.003e-02, eta: 18:50:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9956, loss_cls: 2.3573, loss: 2.3573 +2025-05-01 19:49:04,006 - pyskl - INFO - Epoch [85][1300/2353] lr: 1.002e-02, eta: 18:49:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 2.2977, loss: 2.2977 +2025-05-01 19:49:47,887 - pyskl - INFO - Epoch [85][1400/2353] lr: 1.001e-02, eta: 18:48:38, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9938, loss_cls: 2.3368, loss: 2.3368 +2025-05-01 19:50:32,002 - pyskl - INFO - Epoch [85][1500/2353] lr: 9.994e-03, eta: 18:47:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 2.3606, loss: 2.3606 +2025-05-01 19:51:16,221 - pyskl - INFO - Epoch [85][1600/2353] lr: 9.983e-03, eta: 18:47:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 2.2142, loss: 2.2142 +2025-05-01 19:52:00,369 - pyskl - INFO - Epoch [85][1700/2353] lr: 9.972e-03, eta: 18:46:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 2.3054, loss: 2.3054 +2025-05-01 19:52:44,535 - pyskl - INFO - Epoch [85][1800/2353] lr: 9.961e-03, eta: 18:45:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 2.3351, loss: 2.3351 +2025-05-01 19:53:28,680 - pyskl - INFO - Epoch [85][1900/2353] lr: 9.951e-03, eta: 18:44:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9931, loss_cls: 2.3915, loss: 2.3915 +2025-05-01 19:54:12,750 - pyskl - INFO - Epoch [85][2000/2353] lr: 9.940e-03, eta: 18:44:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 2.3438, loss: 2.3438 +2025-05-01 19:54:56,854 - pyskl - INFO - Epoch [85][2100/2353] lr: 9.929e-03, eta: 18:43:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 2.2775, loss: 2.2775 +2025-05-01 19:55:40,857 - pyskl - INFO - Epoch [85][2200/2353] lr: 9.918e-03, eta: 18:42:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 2.2339, loss: 2.2339 +2025-05-01 19:56:24,961 - pyskl - INFO - Epoch [85][2300/2353] lr: 9.907e-03, eta: 18:42:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9850, loss_cls: 2.3366, loss: 2.3366 +2025-05-01 19:56:49,099 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-05-01 19:58:19,292 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 19:58:19,370 - pyskl - INFO - +top1_acc 0.9212 +top5_acc 0.9927 +2025-05-01 19:58:19,429 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_84.pth was removed +2025-05-01 19:58:20,575 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_85.pth. +2025-05-01 19:58:20,576 - pyskl - INFO - Best top1_acc is 0.9212 at 85 epoch. +2025-05-01 19:58:20,579 - pyskl - INFO - Epoch(val) [85][1184] top1_acc: 0.9212, top5_acc: 0.9927 +2025-05-01 19:59:25,342 - pyskl - INFO - Epoch [86][100/2353] lr: 9.890e-03, eta: 18:40:54, time: 0.648, data_time: 0.208, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 2.2556, loss: 2.2556 +2025-05-01 20:00:09,251 - pyskl - INFO - Epoch [86][200/2353] lr: 9.879e-03, eta: 18:40:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 2.1739, loss: 2.1739 +2025-05-01 20:00:53,195 - pyskl - INFO - Epoch [86][300/2353] lr: 9.869e-03, eta: 18:39:26, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 2.1884, loss: 2.1884 +2025-05-01 20:01:37,128 - pyskl - INFO - Epoch [86][400/2353] lr: 9.858e-03, eta: 18:38:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 2.2375, loss: 2.2375 +2025-05-01 20:02:21,168 - pyskl - INFO - Epoch [86][500/2353] lr: 9.847e-03, eta: 18:37:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 2.2268, loss: 2.2268 +2025-05-01 20:03:05,182 - pyskl - INFO - Epoch [86][600/2353] lr: 9.836e-03, eta: 18:37:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 2.2958, loss: 2.2958 +2025-05-01 20:03:49,332 - pyskl - INFO - Epoch [86][700/2353] lr: 9.825e-03, eta: 18:36:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 2.1746, loss: 2.1746 +2025-05-01 20:04:33,367 - pyskl - INFO - Epoch [86][800/2353] lr: 9.814e-03, eta: 18:35:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 2.2715, loss: 2.2715 +2025-05-01 20:05:17,591 - pyskl - INFO - Epoch [86][900/2353] lr: 9.803e-03, eta: 18:35:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9894, loss_cls: 2.2189, loss: 2.2189 +2025-05-01 20:06:01,546 - pyskl - INFO - Epoch [86][1000/2353] lr: 9.792e-03, eta: 18:34:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 2.2740, loss: 2.2740 +2025-05-01 20:06:45,511 - pyskl - INFO - Epoch [86][1100/2353] lr: 9.782e-03, eta: 18:33:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 2.3989, loss: 2.3989 +2025-05-01 20:07:29,410 - pyskl - INFO - Epoch [86][1200/2353] lr: 9.771e-03, eta: 18:32:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9950, loss_cls: 2.2896, loss: 2.2896 +2025-05-01 20:08:13,293 - pyskl - INFO - Epoch [86][1300/2353] lr: 9.760e-03, eta: 18:32:06, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 2.3117, loss: 2.3117 +2025-05-01 20:08:57,134 - pyskl - INFO - Epoch [86][1400/2353] lr: 9.749e-03, eta: 18:31:21, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 2.4715, loss: 2.4715 +2025-05-01 20:09:41,105 - pyskl - INFO - Epoch [86][1500/2353] lr: 9.738e-03, eta: 18:30:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 2.3819, loss: 2.3819 +2025-05-01 20:10:25,102 - pyskl - INFO - Epoch [86][1600/2353] lr: 9.727e-03, eta: 18:29:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 2.3204, loss: 2.3204 +2025-05-01 20:11:09,020 - pyskl - INFO - Epoch [86][1700/2353] lr: 9.717e-03, eta: 18:29:09, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 2.3493, loss: 2.3493 +2025-05-01 20:11:53,030 - pyskl - INFO - Epoch [86][1800/2353] lr: 9.706e-03, eta: 18:28:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 2.2719, loss: 2.2719 +2025-05-01 20:12:36,950 - pyskl - INFO - Epoch [86][1900/2353] lr: 9.695e-03, eta: 18:27:41, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 2.2687, loss: 2.2687 +2025-05-01 20:13:21,151 - pyskl - INFO - Epoch [86][2000/2353] lr: 9.684e-03, eta: 18:26:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 2.3271, loss: 2.3271 +2025-05-01 20:14:05,258 - pyskl - INFO - Epoch [86][2100/2353] lr: 9.673e-03, eta: 18:26:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 2.0816, loss: 2.0816 +2025-05-01 20:14:49,303 - pyskl - INFO - Epoch [86][2200/2353] lr: 9.662e-03, eta: 18:25:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9938, loss_cls: 2.3861, loss: 2.3861 +2025-05-01 20:15:33,322 - pyskl - INFO - Epoch [86][2300/2353] lr: 9.651e-03, eta: 18:24:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 2.3169, loss: 2.3169 +2025-05-01 20:15:57,250 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-05-01 20:17:26,721 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 20:17:26,797 - pyskl - INFO - +top1_acc 0.9057 +top5_acc 0.9883 +2025-05-01 20:17:26,800 - pyskl - INFO - Epoch(val) [86][1184] top1_acc: 0.9057, top5_acc: 0.9883 +2025-05-01 20:18:31,598 - pyskl - INFO - Epoch [87][100/2353] lr: 9.635e-03, eta: 18:23:36, time: 0.648, data_time: 0.207, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 2.2771, loss: 2.2771 +2025-05-01 20:19:15,670 - pyskl - INFO - Epoch [87][200/2353] lr: 9.624e-03, eta: 18:22:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 2.1711, loss: 2.1711 +2025-05-01 20:19:59,695 - pyskl - INFO - Epoch [87][300/2353] lr: 9.613e-03, eta: 18:22:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 2.2196, loss: 2.2196 +2025-05-01 20:20:43,737 - pyskl - INFO - Epoch [87][400/2353] lr: 9.602e-03, eta: 18:21:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 2.3287, loss: 2.3287 +2025-05-01 20:21:27,799 - pyskl - INFO - Epoch [87][500/2353] lr: 9.592e-03, eta: 18:20:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 2.2617, loss: 2.2617 +2025-05-01 20:22:11,870 - pyskl - INFO - Epoch [87][600/2353] lr: 9.581e-03, eta: 18:19:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 2.2408, loss: 2.2408 +2025-05-01 20:22:56,002 - pyskl - INFO - Epoch [87][700/2353] lr: 9.570e-03, eta: 18:19:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 2.2767, loss: 2.2767 +2025-05-01 20:23:40,197 - pyskl - INFO - Epoch [87][800/2353] lr: 9.559e-03, eta: 18:18:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 2.2183, loss: 2.2183 +2025-05-01 20:24:23,937 - pyskl - INFO - Epoch [87][900/2353] lr: 9.548e-03, eta: 18:17:45, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9906, loss_cls: 2.3068, loss: 2.3068 +2025-05-01 20:25:08,067 - pyskl - INFO - Epoch [87][1000/2353] lr: 9.538e-03, eta: 18:17:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9969, loss_cls: 2.2735, loss: 2.2735 +2025-05-01 20:25:52,339 - pyskl - INFO - Epoch [87][1100/2353] lr: 9.527e-03, eta: 18:16:17, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 2.4344, loss: 2.4344 +2025-05-01 20:26:36,576 - pyskl - INFO - Epoch [87][1200/2353] lr: 9.516e-03, eta: 18:15:33, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9944, loss_cls: 2.2971, loss: 2.2971 +2025-05-01 20:27:20,670 - pyskl - INFO - Epoch [87][1300/2353] lr: 9.505e-03, eta: 18:14:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 2.2803, loss: 2.2803 +2025-05-01 20:28:04,806 - pyskl - INFO - Epoch [87][1400/2353] lr: 9.494e-03, eta: 18:14:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 2.2769, loss: 2.2769 +2025-05-01 20:28:48,943 - pyskl - INFO - Epoch [87][1500/2353] lr: 9.483e-03, eta: 18:13:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 2.2524, loss: 2.2524 +2025-05-01 20:29:33,057 - pyskl - INFO - Epoch [87][1600/2353] lr: 9.473e-03, eta: 18:12:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 2.2767, loss: 2.2767 +2025-05-01 20:30:17,172 - pyskl - INFO - Epoch [87][1700/2353] lr: 9.462e-03, eta: 18:11:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 2.2318, loss: 2.2318 +2025-05-01 20:31:01,284 - pyskl - INFO - Epoch [87][1800/2353] lr: 9.451e-03, eta: 18:11:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 2.1345, loss: 2.1345 +2025-05-01 20:31:45,310 - pyskl - INFO - Epoch [87][1900/2353] lr: 9.440e-03, eta: 18:10:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 2.2777, loss: 2.2777 +2025-05-01 20:32:29,434 - pyskl - INFO - Epoch [87][2000/2353] lr: 9.430e-03, eta: 18:09:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9894, loss_cls: 2.2489, loss: 2.2489 +2025-05-01 20:33:13,559 - pyskl - INFO - Epoch [87][2100/2353] lr: 9.419e-03, eta: 18:08:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 2.3252, loss: 2.3252 +2025-05-01 20:33:57,715 - pyskl - INFO - Epoch [87][2200/2353] lr: 9.408e-03, eta: 18:08:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 2.3368, loss: 2.3368 +2025-05-01 20:34:41,844 - pyskl - INFO - Epoch [87][2300/2353] lr: 9.397e-03, eta: 18:07:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 2.3635, loss: 2.3635 +2025-05-01 20:35:05,986 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-05-01 20:36:36,038 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 20:36:36,116 - pyskl - INFO - +top1_acc 0.9004 +top5_acc 0.9909 +2025-05-01 20:36:36,120 - pyskl - INFO - Epoch(val) [87][1184] top1_acc: 0.9004, top5_acc: 0.9909 +2025-05-01 20:37:41,266 - pyskl - INFO - Epoch [88][100/2353] lr: 9.381e-03, eta: 18:06:21, time: 0.651, data_time: 0.209, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 2.1520, loss: 2.1520 +2025-05-01 20:38:25,390 - pyskl - INFO - Epoch [88][200/2353] lr: 9.370e-03, eta: 18:05:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 2.1837, loss: 2.1837 +2025-05-01 20:39:09,509 - pyskl - INFO - Epoch [88][300/2353] lr: 9.359e-03, eta: 18:04:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 2.1175, loss: 2.1175 +2025-05-01 20:39:53,567 - pyskl - INFO - Epoch [88][400/2353] lr: 9.348e-03, eta: 18:04:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 2.1462, loss: 2.1462 +2025-05-01 20:40:37,653 - pyskl - INFO - Epoch [88][500/2353] lr: 9.338e-03, eta: 18:03:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 2.1467, loss: 2.1467 +2025-05-01 20:41:21,825 - pyskl - INFO - Epoch [88][600/2353] lr: 9.327e-03, eta: 18:02:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 2.1336, loss: 2.1336 +2025-05-01 20:42:06,003 - pyskl - INFO - Epoch [88][700/2353] lr: 9.316e-03, eta: 18:01:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 2.2082, loss: 2.2082 +2025-05-01 20:42:50,082 - pyskl - INFO - Epoch [88][800/2353] lr: 9.305e-03, eta: 18:01:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 2.2111, loss: 2.2111 +2025-05-01 20:43:34,143 - pyskl - INFO - Epoch [88][900/2353] lr: 9.295e-03, eta: 18:00:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 2.1464, loss: 2.1464 +2025-05-01 20:44:18,244 - pyskl - INFO - Epoch [88][1000/2353] lr: 9.284e-03, eta: 17:59:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9962, loss_cls: 2.2226, loss: 2.2226 +2025-05-01 20:45:02,337 - pyskl - INFO - Epoch [88][1100/2353] lr: 9.273e-03, eta: 17:59:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 2.2544, loss: 2.2544 +2025-05-01 20:45:46,395 - pyskl - INFO - Epoch [88][1200/2353] lr: 9.262e-03, eta: 17:58:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 2.2319, loss: 2.2319 +2025-05-01 20:46:30,598 - pyskl - INFO - Epoch [88][1300/2353] lr: 9.252e-03, eta: 17:57:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 2.3007, loss: 2.3007 +2025-05-01 20:47:14,720 - pyskl - INFO - Epoch [88][1400/2353] lr: 9.241e-03, eta: 17:56:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 2.1451, loss: 2.1451 +2025-05-01 20:47:58,838 - pyskl - INFO - Epoch [88][1500/2353] lr: 9.230e-03, eta: 17:56:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 2.2146, loss: 2.2146 +2025-05-01 20:48:42,985 - pyskl - INFO - Epoch [88][1600/2353] lr: 9.219e-03, eta: 17:55:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 2.3395, loss: 2.3395 +2025-05-01 20:49:27,226 - pyskl - INFO - Epoch [88][1700/2353] lr: 9.209e-03, eta: 17:54:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 2.2744, loss: 2.2744 +2025-05-01 20:50:11,327 - pyskl - INFO - Epoch [88][1800/2353] lr: 9.198e-03, eta: 17:53:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 2.3039, loss: 2.3039 +2025-05-01 20:50:55,411 - pyskl - INFO - Epoch [88][1900/2353] lr: 9.187e-03, eta: 17:53:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 2.2490, loss: 2.2490 +2025-05-01 20:51:39,517 - pyskl - INFO - Epoch [88][2000/2353] lr: 9.176e-03, eta: 17:52:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 2.3141, loss: 2.3141 +2025-05-01 20:52:23,587 - pyskl - INFO - Epoch [88][2100/2353] lr: 9.166e-03, eta: 17:51:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 2.2686, loss: 2.2686 +2025-05-01 20:53:07,666 - pyskl - INFO - Epoch [88][2200/2353] lr: 9.155e-03, eta: 17:50:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 2.3082, loss: 2.3082 +2025-05-01 20:53:51,883 - pyskl - INFO - Epoch [88][2300/2353] lr: 9.144e-03, eta: 17:50:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 2.3489, loss: 2.3489 +2025-05-01 20:54:15,996 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-05-01 20:55:46,550 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 20:55:46,627 - pyskl - INFO - +top1_acc 0.9130 +top5_acc 0.9903 +2025-05-01 20:55:46,630 - pyskl - INFO - Epoch(val) [88][1184] top1_acc: 0.9130, top5_acc: 0.9903 +2025-05-01 20:56:51,824 - pyskl - INFO - Epoch [89][100/2353] lr: 9.128e-03, eta: 17:49:06, time: 0.652, data_time: 0.209, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 2.1817, loss: 2.1817 +2025-05-01 20:57:35,879 - pyskl - INFO - Epoch [89][200/2353] lr: 9.117e-03, eta: 17:48:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 2.1594, loss: 2.1594 +2025-05-01 20:58:19,995 - pyskl - INFO - Epoch [89][300/2353] lr: 9.106e-03, eta: 17:47:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 2.1017, loss: 2.1017 +2025-05-01 20:59:04,054 - pyskl - INFO - Epoch [89][400/2353] lr: 9.096e-03, eta: 17:46:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9906, loss_cls: 2.2183, loss: 2.2183 +2025-05-01 20:59:48,166 - pyskl - INFO - Epoch [89][500/2353] lr: 9.085e-03, eta: 17:46:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 2.1997, loss: 2.1997 +2025-05-01 21:00:32,147 - pyskl - INFO - Epoch [89][600/2353] lr: 9.074e-03, eta: 17:45:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 2.2141, loss: 2.2141 +2025-05-01 21:01:16,229 - pyskl - INFO - Epoch [89][700/2353] lr: 9.064e-03, eta: 17:44:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 2.2262, loss: 2.2262 +2025-05-01 21:02:00,312 - pyskl - INFO - Epoch [89][800/2353] lr: 9.053e-03, eta: 17:43:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9969, loss_cls: 2.2262, loss: 2.2262 +2025-05-01 21:02:44,370 - pyskl - INFO - Epoch [89][900/2353] lr: 9.042e-03, eta: 17:43:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 2.2090, loss: 2.2090 +2025-05-01 21:03:28,304 - pyskl - INFO - Epoch [89][1000/2353] lr: 9.032e-03, eta: 17:42:30, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 2.1895, loss: 2.1895 +2025-05-01 21:04:12,295 - pyskl - INFO - Epoch [89][1100/2353] lr: 9.021e-03, eta: 17:41:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9975, loss_cls: 2.2470, loss: 2.2470 +2025-05-01 21:04:56,387 - pyskl - INFO - Epoch [89][1200/2353] lr: 9.010e-03, eta: 17:41:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 2.2589, loss: 2.2589 +2025-05-01 21:05:40,365 - pyskl - INFO - Epoch [89][1300/2353] lr: 9.000e-03, eta: 17:40:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 2.2093, loss: 2.2093 +2025-05-01 21:06:24,339 - pyskl - INFO - Epoch [89][1400/2353] lr: 8.989e-03, eta: 17:39:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9969, loss_cls: 2.2704, loss: 2.2704 +2025-05-01 21:07:08,333 - pyskl - INFO - Epoch [89][1500/2353] lr: 8.978e-03, eta: 17:38:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 2.1258, loss: 2.1258 +2025-05-01 21:07:52,362 - pyskl - INFO - Epoch [89][1600/2353] lr: 8.967e-03, eta: 17:38:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 2.2346, loss: 2.2346 +2025-05-01 21:08:36,345 - pyskl - INFO - Epoch [89][1700/2353] lr: 8.957e-03, eta: 17:37:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9962, loss_cls: 2.2274, loss: 2.2274 +2025-05-01 21:09:20,250 - pyskl - INFO - Epoch [89][1800/2353] lr: 8.946e-03, eta: 17:36:38, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 2.2172, loss: 2.2172 +2025-05-01 21:10:04,302 - pyskl - INFO - Epoch [89][1900/2353] lr: 8.935e-03, eta: 17:35:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9956, loss_cls: 2.2907, loss: 2.2907 +2025-05-01 21:10:48,352 - pyskl - INFO - Epoch [89][2000/2353] lr: 8.925e-03, eta: 17:35:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9906, loss_cls: 2.2162, loss: 2.2162 +2025-05-01 21:11:32,474 - pyskl - INFO - Epoch [89][2100/2353] lr: 8.914e-03, eta: 17:34:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 2.2322, loss: 2.2322 +2025-05-01 21:12:16,861 - pyskl - INFO - Epoch [89][2200/2353] lr: 8.904e-03, eta: 17:33:43, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 2.1928, loss: 2.1928 +2025-05-01 21:13:00,931 - pyskl - INFO - Epoch [89][2300/2353] lr: 8.893e-03, eta: 17:32:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 2.2878, loss: 2.2878 +2025-05-01 21:13:24,936 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-05-01 21:14:54,946 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 21:14:55,024 - pyskl - INFO - +top1_acc 0.9163 +top5_acc 0.9913 +2025-05-01 21:14:55,028 - pyskl - INFO - Epoch(val) [89][1184] top1_acc: 0.9163, top5_acc: 0.9913 +2025-05-01 21:16:00,051 - pyskl - INFO - Epoch [90][100/2353] lr: 8.877e-03, eta: 17:31:50, time: 0.650, data_time: 0.211, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 2.1211, loss: 2.1211 +2025-05-01 21:16:44,063 - pyskl - INFO - Epoch [90][200/2353] lr: 8.866e-03, eta: 17:31:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9969, loss_cls: 2.2032, loss: 2.2032 +2025-05-01 21:17:28,053 - pyskl - INFO - Epoch [90][300/2353] lr: 8.855e-03, eta: 17:30:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9962, loss_cls: 2.1528, loss: 2.1528 +2025-05-01 21:18:12,054 - pyskl - INFO - Epoch [90][400/2353] lr: 8.845e-03, eta: 17:29:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 2.2109, loss: 2.2109 +2025-05-01 21:18:56,263 - pyskl - INFO - Epoch [90][500/2353] lr: 8.834e-03, eta: 17:28:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 2.2286, loss: 2.2286 +2025-05-01 21:19:40,369 - pyskl - INFO - Epoch [90][600/2353] lr: 8.823e-03, eta: 17:28:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 2.1328, loss: 2.1328 +2025-05-01 21:20:24,638 - pyskl - INFO - Epoch [90][700/2353] lr: 8.813e-03, eta: 17:27:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 2.1821, loss: 2.1821 +2025-05-01 21:21:08,674 - pyskl - INFO - Epoch [90][800/2353] lr: 8.802e-03, eta: 17:26:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 2.1133, loss: 2.1133 +2025-05-01 21:21:52,726 - pyskl - INFO - Epoch [90][900/2353] lr: 8.791e-03, eta: 17:25:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9962, loss_cls: 2.2447, loss: 2.2447 +2025-05-01 21:22:36,728 - pyskl - INFO - Epoch [90][1000/2353] lr: 8.781e-03, eta: 17:25:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 2.1535, loss: 2.1535 +2025-05-01 21:23:20,799 - pyskl - INFO - Epoch [90][1100/2353] lr: 8.770e-03, eta: 17:24:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 2.1934, loss: 2.1934 +2025-05-01 21:24:04,831 - pyskl - INFO - Epoch [90][1200/2353] lr: 8.760e-03, eta: 17:23:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 2.2255, loss: 2.2255 +2025-05-01 21:24:48,791 - pyskl - INFO - Epoch [90][1300/2353] lr: 8.749e-03, eta: 17:23:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 2.2300, loss: 2.2300 +2025-05-01 21:25:32,738 - pyskl - INFO - Epoch [90][1400/2353] lr: 8.738e-03, eta: 17:22:18, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 2.3319, loss: 2.3319 +2025-05-01 21:26:16,684 - pyskl - INFO - Epoch [90][1500/2353] lr: 8.728e-03, eta: 17:21:34, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 2.2298, loss: 2.2298 +2025-05-01 21:27:00,630 - pyskl - INFO - Epoch [90][1600/2353] lr: 8.717e-03, eta: 17:20:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 2.2614, loss: 2.2614 +2025-05-01 21:27:44,594 - pyskl - INFO - Epoch [90][1700/2353] lr: 8.707e-03, eta: 17:20:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 2.2600, loss: 2.2600 +2025-05-01 21:28:28,653 - pyskl - INFO - Epoch [90][1800/2353] lr: 8.696e-03, eta: 17:19:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9912, loss_cls: 2.1612, loss: 2.1612 +2025-05-01 21:29:13,201 - pyskl - INFO - Epoch [90][1900/2353] lr: 8.685e-03, eta: 17:18:39, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 2.2398, loss: 2.2398 +2025-05-01 21:29:57,575 - pyskl - INFO - Epoch [90][2000/2353] lr: 8.675e-03, eta: 17:17:55, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 2.3310, loss: 2.3310 +2025-05-01 21:30:41,679 - pyskl - INFO - Epoch [90][2100/2353] lr: 8.664e-03, eta: 17:17:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 2.2733, loss: 2.2733 +2025-05-01 21:31:25,794 - pyskl - INFO - Epoch [90][2200/2353] lr: 8.654e-03, eta: 17:16:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 2.3064, loss: 2.3064 +2025-05-01 21:32:09,755 - pyskl - INFO - Epoch [90][2300/2353] lr: 8.643e-03, eta: 17:15:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9956, loss_cls: 2.2293, loss: 2.2293 +2025-05-01 21:32:33,709 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-05-01 21:34:03,875 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 21:34:03,953 - pyskl - INFO - +top1_acc 0.9065 +top5_acc 0.9915 +2025-05-01 21:34:03,956 - pyskl - INFO - Epoch(val) [90][1184] top1_acc: 0.9065, top5_acc: 0.9915 +2025-05-01 21:35:09,299 - pyskl - INFO - Epoch [91][100/2353] lr: 8.627e-03, eta: 17:14:34, time: 0.653, data_time: 0.211, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 2.1912, loss: 2.1912 +2025-05-01 21:35:53,346 - pyskl - INFO - Epoch [91][200/2353] lr: 8.616e-03, eta: 17:13:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 2.1755, loss: 2.1755 +2025-05-01 21:36:37,475 - pyskl - INFO - Epoch [91][300/2353] lr: 8.606e-03, eta: 17:13:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 2.1244, loss: 2.1244 +2025-05-01 21:37:21,549 - pyskl - INFO - Epoch [91][400/2353] lr: 8.595e-03, eta: 17:12:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 2.1750, loss: 2.1750 +2025-05-01 21:38:05,661 - pyskl - INFO - Epoch [91][500/2353] lr: 8.585e-03, eta: 17:11:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 2.1969, loss: 2.1969 +2025-05-01 21:38:49,652 - pyskl - INFO - Epoch [91][600/2353] lr: 8.574e-03, eta: 17:10:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 2.1407, loss: 2.1407 +2025-05-01 21:39:33,370 - pyskl - INFO - Epoch [91][700/2353] lr: 8.563e-03, eta: 17:10:10, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9950, loss_cls: 2.2555, loss: 2.2555 +2025-05-01 21:40:17,315 - pyskl - INFO - Epoch [91][800/2353] lr: 8.553e-03, eta: 17:09:26, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 2.2909, loss: 2.2909 +2025-05-01 21:41:01,302 - pyskl - INFO - Epoch [91][900/2353] lr: 8.542e-03, eta: 17:08:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 2.2351, loss: 2.2351 +2025-05-01 21:41:45,352 - pyskl - INFO - Epoch [91][1000/2353] lr: 8.532e-03, eta: 17:07:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 2.1645, loss: 2.1645 +2025-05-01 21:42:29,403 - pyskl - INFO - Epoch [91][1100/2353] lr: 8.521e-03, eta: 17:07:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 2.0351, loss: 2.0351 +2025-05-01 21:43:13,451 - pyskl - INFO - Epoch [91][1200/2353] lr: 8.511e-03, eta: 17:06:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 2.2088, loss: 2.2088 +2025-05-01 21:43:57,592 - pyskl - INFO - Epoch [91][1300/2353] lr: 8.500e-03, eta: 17:05:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 2.1403, loss: 2.1403 +2025-05-01 21:44:41,754 - pyskl - INFO - Epoch [91][1400/2353] lr: 8.490e-03, eta: 17:05:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 2.1841, loss: 2.1841 +2025-05-01 21:45:25,748 - pyskl - INFO - Epoch [91][1500/2353] lr: 8.479e-03, eta: 17:04:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9925, loss_cls: 2.1658, loss: 2.1658 +2025-05-01 21:46:09,885 - pyskl - INFO - Epoch [91][1600/2353] lr: 8.468e-03, eta: 17:03:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9956, loss_cls: 2.2078, loss: 2.2078 +2025-05-01 21:46:53,995 - pyskl - INFO - Epoch [91][1700/2353] lr: 8.458e-03, eta: 17:02:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 2.1693, loss: 2.1693 +2025-05-01 21:47:38,258 - pyskl - INFO - Epoch [91][1800/2353] lr: 8.447e-03, eta: 17:02:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 2.1912, loss: 2.1912 +2025-05-01 21:48:22,422 - pyskl - INFO - Epoch [91][1900/2353] lr: 8.437e-03, eta: 17:01:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 2.2696, loss: 2.2696 +2025-05-01 21:49:06,655 - pyskl - INFO - Epoch [91][2000/2353] lr: 8.426e-03, eta: 17:00:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 2.1758, loss: 2.1758 +2025-05-01 21:49:50,667 - pyskl - INFO - Epoch [91][2100/2353] lr: 8.416e-03, eta: 16:59:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 2.1982, loss: 2.1982 +2025-05-01 21:50:34,697 - pyskl - INFO - Epoch [91][2200/2353] lr: 8.405e-03, eta: 16:59:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9969, loss_cls: 2.1883, loss: 2.1883 +2025-05-01 21:51:18,864 - pyskl - INFO - Epoch [91][2300/2353] lr: 8.395e-03, eta: 16:58:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 2.1742, loss: 2.1742 +2025-05-01 21:51:42,912 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-05-01 21:53:12,772 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 21:53:12,851 - pyskl - INFO - +top1_acc 0.9164 +top5_acc 0.9923 +2025-05-01 21:53:12,854 - pyskl - INFO - Epoch(val) [91][1184] top1_acc: 0.9164, top5_acc: 0.9923 +2025-05-01 21:54:17,917 - pyskl - INFO - Epoch [92][100/2353] lr: 8.379e-03, eta: 16:57:19, time: 0.651, data_time: 0.212, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 2.1368, loss: 2.1368 +2025-05-01 21:55:01,891 - pyskl - INFO - Epoch [92][200/2353] lr: 8.368e-03, eta: 16:56:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 2.0047, loss: 2.0047 +2025-05-01 21:55:45,975 - pyskl - INFO - Epoch [92][300/2353] lr: 8.358e-03, eta: 16:55:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 2.0362, loss: 2.0362 +2025-05-01 21:56:30,035 - pyskl - INFO - Epoch [92][400/2353] lr: 8.347e-03, eta: 16:55:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 2.1161, loss: 2.1161 +2025-05-01 21:57:14,035 - pyskl - INFO - Epoch [92][500/2353] lr: 8.337e-03, eta: 16:54:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 2.1194, loss: 2.1194 +2025-05-01 21:57:58,038 - pyskl - INFO - Epoch [92][600/2353] lr: 8.326e-03, eta: 16:53:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 2.1130, loss: 2.1130 +2025-05-01 21:58:42,030 - pyskl - INFO - Epoch [92][700/2353] lr: 8.316e-03, eta: 16:52:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 2.0936, loss: 2.0936 +2025-05-01 21:59:26,001 - pyskl - INFO - Epoch [92][800/2353] lr: 8.305e-03, eta: 16:52:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 2.2118, loss: 2.2118 +2025-05-01 22:00:09,955 - pyskl - INFO - Epoch [92][900/2353] lr: 8.295e-03, eta: 16:51:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 2.0888, loss: 2.0888 +2025-05-01 22:00:54,016 - pyskl - INFO - Epoch [92][1000/2353] lr: 8.284e-03, eta: 16:50:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 2.1490, loss: 2.1490 +2025-05-01 22:01:38,034 - pyskl - INFO - Epoch [92][1100/2353] lr: 8.274e-03, eta: 16:49:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 2.2931, loss: 2.2931 +2025-05-01 22:02:22,035 - pyskl - INFO - Epoch [92][1200/2353] lr: 8.263e-03, eta: 16:49:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 2.1921, loss: 2.1921 +2025-05-01 22:03:06,121 - pyskl - INFO - Epoch [92][1300/2353] lr: 8.253e-03, eta: 16:48:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 2.3458, loss: 2.3458 +2025-05-01 22:03:50,141 - pyskl - INFO - Epoch [92][1400/2353] lr: 8.242e-03, eta: 16:47:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 2.1934, loss: 2.1934 +2025-05-01 22:04:34,150 - pyskl - INFO - Epoch [92][1500/2353] lr: 8.232e-03, eta: 16:47:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 2.0932, loss: 2.0932 +2025-05-01 22:05:18,185 - pyskl - INFO - Epoch [92][1600/2353] lr: 8.222e-03, eta: 16:46:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 2.2418, loss: 2.2418 +2025-05-01 22:06:02,371 - pyskl - INFO - Epoch [92][1700/2353] lr: 8.211e-03, eta: 16:45:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 2.1637, loss: 2.1637 +2025-05-01 22:06:46,582 - pyskl - INFO - Epoch [92][1800/2353] lr: 8.201e-03, eta: 16:44:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9944, loss_cls: 2.2626, loss: 2.2626 +2025-05-01 22:07:30,791 - pyskl - INFO - Epoch [92][1900/2353] lr: 8.190e-03, eta: 16:44:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 2.0848, loss: 2.0848 +2025-05-01 22:08:14,810 - pyskl - INFO - Epoch [92][2000/2353] lr: 8.180e-03, eta: 16:43:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 2.0963, loss: 2.0963 +2025-05-01 22:08:58,847 - pyskl - INFO - Epoch [92][2100/2353] lr: 8.169e-03, eta: 16:42:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 2.1886, loss: 2.1886 +2025-05-01 22:09:42,875 - pyskl - INFO - Epoch [92][2200/2353] lr: 8.159e-03, eta: 16:41:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 2.1691, loss: 2.1691 +2025-05-01 22:10:26,876 - pyskl - INFO - Epoch [92][2300/2353] lr: 8.148e-03, eta: 16:41:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 2.2287, loss: 2.2287 +2025-05-01 22:10:50,907 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-05-01 22:12:20,735 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 22:12:20,814 - pyskl - INFO - +top1_acc 0.9170 +top5_acc 0.9936 +2025-05-01 22:12:20,817 - pyskl - INFO - Epoch(val) [92][1184] top1_acc: 0.9170, top5_acc: 0.9936 +2025-05-01 22:13:26,002 - pyskl - INFO - Epoch [93][100/2353] lr: 8.133e-03, eta: 16:40:03, time: 0.652, data_time: 0.210, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9938, loss_cls: 2.1115, loss: 2.1115 +2025-05-01 22:14:10,230 - pyskl - INFO - Epoch [93][200/2353] lr: 8.122e-03, eta: 16:39:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 2.1149, loss: 2.1149 +2025-05-01 22:14:54,445 - pyskl - INFO - Epoch [93][300/2353] lr: 8.112e-03, eta: 16:38:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 2.1379, loss: 2.1379 +2025-05-01 22:15:38,725 - pyskl - INFO - Epoch [93][400/2353] lr: 8.101e-03, eta: 16:37:51, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 2.0841, loss: 2.0841 +2025-05-01 22:16:22,831 - pyskl - INFO - Epoch [93][500/2353] lr: 8.091e-03, eta: 16:37:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 2.0590, loss: 2.0590 +2025-05-01 22:17:06,893 - pyskl - INFO - Epoch [93][600/2353] lr: 8.080e-03, eta: 16:36:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 2.1926, loss: 2.1926 +2025-05-01 22:17:51,079 - pyskl - INFO - Epoch [93][700/2353] lr: 8.070e-03, eta: 16:35:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 2.1547, loss: 2.1547 +2025-05-01 22:18:35,350 - pyskl - INFO - Epoch [93][800/2353] lr: 8.060e-03, eta: 16:34:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 2.0805, loss: 2.0805 +2025-05-01 22:19:19,686 - pyskl - INFO - Epoch [93][900/2353] lr: 8.049e-03, eta: 16:34:12, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 2.1838, loss: 2.1838 +2025-05-01 22:20:03,955 - pyskl - INFO - Epoch [93][1000/2353] lr: 8.039e-03, eta: 16:33:28, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9950, loss_cls: 2.2023, loss: 2.2023 +2025-05-01 22:20:47,987 - pyskl - INFO - Epoch [93][1100/2353] lr: 8.028e-03, eta: 16:32:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9975, loss_cls: 2.2077, loss: 2.2077 +2025-05-01 22:21:32,050 - pyskl - INFO - Epoch [93][1200/2353] lr: 8.018e-03, eta: 16:32:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 2.1940, loss: 2.1940 +2025-05-01 22:22:16,136 - pyskl - INFO - Epoch [93][1300/2353] lr: 8.008e-03, eta: 16:31:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 2.1875, loss: 2.1875 +2025-05-01 22:23:00,231 - pyskl - INFO - Epoch [93][1400/2353] lr: 7.997e-03, eta: 16:30:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 2.0938, loss: 2.0938 +2025-05-01 22:23:44,266 - pyskl - INFO - Epoch [93][1500/2353] lr: 7.987e-03, eta: 16:29:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 2.1133, loss: 2.1133 +2025-05-01 22:24:28,442 - pyskl - INFO - Epoch [93][1600/2353] lr: 7.977e-03, eta: 16:29:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 2.2141, loss: 2.2141 +2025-05-01 22:25:12,539 - pyskl - INFO - Epoch [93][1700/2353] lr: 7.966e-03, eta: 16:28:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 2.2450, loss: 2.2450 +2025-05-01 22:25:56,810 - pyskl - INFO - Epoch [93][1800/2353] lr: 7.956e-03, eta: 16:27:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9894, loss_cls: 2.2509, loss: 2.2509 +2025-05-01 22:26:40,799 - pyskl - INFO - Epoch [93][1900/2353] lr: 7.945e-03, eta: 16:26:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 2.1221, loss: 2.1221 +2025-05-01 22:27:24,835 - pyskl - INFO - Epoch [93][2000/2353] lr: 7.935e-03, eta: 16:26:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 2.1119, loss: 2.1119 +2025-05-01 22:28:08,871 - pyskl - INFO - Epoch [93][2100/2353] lr: 7.925e-03, eta: 16:25:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 2.1903, loss: 2.1903 +2025-05-01 22:28:52,917 - pyskl - INFO - Epoch [93][2200/2353] lr: 7.914e-03, eta: 16:24:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9900, loss_cls: 2.1405, loss: 2.1405 +2025-05-01 22:29:36,935 - pyskl - INFO - Epoch [93][2300/2353] lr: 7.904e-03, eta: 16:23:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9962, loss_cls: 2.1946, loss: 2.1946 +2025-05-01 22:30:00,964 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-05-01 22:31:30,531 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 22:31:30,608 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9922 +2025-05-01 22:31:30,611 - pyskl - INFO - Epoch(val) [93][1184] top1_acc: 0.9209, top5_acc: 0.9922 +2025-05-01 22:32:35,768 - pyskl - INFO - Epoch [94][100/2353] lr: 7.888e-03, eta: 16:22:48, time: 0.652, data_time: 0.212, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 2.0739, loss: 2.0739 +2025-05-01 22:33:19,726 - pyskl - INFO - Epoch [94][200/2353] lr: 7.878e-03, eta: 16:22:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 2.0047, loss: 2.0047 +2025-05-01 22:34:03,896 - pyskl - INFO - Epoch [94][300/2353] lr: 7.868e-03, eta: 16:21:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 2.1025, loss: 2.1025 +2025-05-01 22:34:47,926 - pyskl - INFO - Epoch [94][400/2353] lr: 7.857e-03, eta: 16:20:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 2.1203, loss: 2.1203 +2025-05-01 22:35:31,883 - pyskl - INFO - Epoch [94][500/2353] lr: 7.847e-03, eta: 16:19:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 2.0640, loss: 2.0640 +2025-05-01 22:36:15,661 - pyskl - INFO - Epoch [94][600/2353] lr: 7.837e-03, eta: 16:19:08, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 2.0574, loss: 2.0574 +2025-05-01 22:36:59,659 - pyskl - INFO - Epoch [94][700/2353] lr: 7.826e-03, eta: 16:18:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 2.0744, loss: 2.0744 +2025-05-01 22:37:43,640 - pyskl - INFO - Epoch [94][800/2353] lr: 7.816e-03, eta: 16:17:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 2.0826, loss: 2.0826 +2025-05-01 22:38:27,734 - pyskl - INFO - Epoch [94][900/2353] lr: 7.806e-03, eta: 16:16:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 2.1007, loss: 2.1007 +2025-05-01 22:39:11,842 - pyskl - INFO - Epoch [94][1000/2353] lr: 7.795e-03, eta: 16:16:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 2.0904, loss: 2.0904 +2025-05-01 22:39:55,924 - pyskl - INFO - Epoch [94][1100/2353] lr: 7.785e-03, eta: 16:15:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9988, loss_cls: 2.0840, loss: 2.0840 +2025-05-01 22:40:40,023 - pyskl - INFO - Epoch [94][1200/2353] lr: 7.775e-03, eta: 16:14:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9981, loss_cls: 2.1390, loss: 2.1390 +2025-05-01 22:41:24,035 - pyskl - INFO - Epoch [94][1300/2353] lr: 7.764e-03, eta: 16:14:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 2.1228, loss: 2.1228 +2025-05-01 22:42:08,047 - pyskl - INFO - Epoch [94][1400/2353] lr: 7.754e-03, eta: 16:13:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 2.1525, loss: 2.1525 +2025-05-01 22:42:52,198 - pyskl - INFO - Epoch [94][1500/2353] lr: 7.744e-03, eta: 16:12:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 2.0030, loss: 2.0030 +2025-05-01 22:43:36,255 - pyskl - INFO - Epoch [94][1600/2353] lr: 7.734e-03, eta: 16:11:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 2.0833, loss: 2.0833 +2025-05-01 22:44:20,434 - pyskl - INFO - Epoch [94][1700/2353] lr: 7.723e-03, eta: 16:11:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 2.1612, loss: 2.1612 +2025-05-01 22:45:04,458 - pyskl - INFO - Epoch [94][1800/2353] lr: 7.713e-03, eta: 16:10:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 2.1198, loss: 2.1198 +2025-05-01 22:45:48,299 - pyskl - INFO - Epoch [94][1900/2353] lr: 7.703e-03, eta: 16:09:36, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 2.1415, loss: 2.1415 +2025-05-01 22:46:32,300 - pyskl - INFO - Epoch [94][2000/2353] lr: 7.692e-03, eta: 16:08:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 2.0737, loss: 2.0737 +2025-05-01 22:47:16,232 - pyskl - INFO - Epoch [94][2100/2353] lr: 7.682e-03, eta: 16:08:08, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 2.1473, loss: 2.1473 +2025-05-01 22:48:00,176 - pyskl - INFO - Epoch [94][2200/2353] lr: 7.672e-03, eta: 16:07:24, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9962, loss_cls: 2.2581, loss: 2.2581 +2025-05-01 22:48:44,239 - pyskl - INFO - Epoch [94][2300/2353] lr: 7.662e-03, eta: 16:06:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 2.2013, loss: 2.2013 +2025-05-01 22:49:08,324 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-05-01 22:50:38,185 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 22:50:38,263 - pyskl - INFO - +top1_acc 0.9208 +top5_acc 0.9914 +2025-05-01 22:50:38,266 - pyskl - INFO - Epoch(val) [94][1184] top1_acc: 0.9208, top5_acc: 0.9914 +2025-05-01 22:51:43,211 - pyskl - INFO - Epoch [95][100/2353] lr: 7.646e-03, eta: 16:05:31, time: 0.649, data_time: 0.210, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 2.0924, loss: 2.0924 +2025-05-01 22:52:27,195 - pyskl - INFO - Epoch [95][200/2353] lr: 7.636e-03, eta: 16:04:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 2.0311, loss: 2.0311 +2025-05-01 22:53:11,346 - pyskl - INFO - Epoch [95][300/2353] lr: 7.625e-03, eta: 16:04:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 1.0000, loss_cls: 2.1170, loss: 2.1170 +2025-05-01 22:53:55,512 - pyskl - INFO - Epoch [95][400/2353] lr: 7.615e-03, eta: 16:03:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 2.0592, loss: 2.0592 +2025-05-01 22:54:39,702 - pyskl - INFO - Epoch [95][500/2353] lr: 7.605e-03, eta: 16:02:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 2.0728, loss: 2.0728 +2025-05-01 22:55:23,787 - pyskl - INFO - Epoch [95][600/2353] lr: 7.595e-03, eta: 16:01:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 2.0368, loss: 2.0368 +2025-05-01 22:56:07,883 - pyskl - INFO - Epoch [95][700/2353] lr: 7.584e-03, eta: 16:01:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9988, loss_cls: 2.0559, loss: 2.0559 +2025-05-01 22:56:52,002 - pyskl - INFO - Epoch [95][800/2353] lr: 7.574e-03, eta: 16:00:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 2.1148, loss: 2.1148 +2025-05-01 22:57:36,134 - pyskl - INFO - Epoch [95][900/2353] lr: 7.564e-03, eta: 15:59:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 2.0753, loss: 2.0753 +2025-05-01 22:58:20,239 - pyskl - INFO - Epoch [95][1000/2353] lr: 7.554e-03, eta: 15:58:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 2.0257, loss: 2.0257 +2025-05-01 22:59:04,278 - pyskl - INFO - Epoch [95][1100/2353] lr: 7.544e-03, eta: 15:58:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 2.0435, loss: 2.0435 +2025-05-01 22:59:48,322 - pyskl - INFO - Epoch [95][1200/2353] lr: 7.533e-03, eta: 15:57:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 2.1709, loss: 2.1709 +2025-05-01 23:00:32,447 - pyskl - INFO - Epoch [95][1300/2353] lr: 7.523e-03, eta: 15:56:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 2.0902, loss: 2.0902 +2025-05-01 23:01:16,508 - pyskl - INFO - Epoch [95][1400/2353] lr: 7.513e-03, eta: 15:56:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 2.0566, loss: 2.0566 +2025-05-01 23:02:00,639 - pyskl - INFO - Epoch [95][1500/2353] lr: 7.503e-03, eta: 15:55:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 2.0775, loss: 2.0775 +2025-05-01 23:02:44,675 - pyskl - INFO - Epoch [95][1600/2353] lr: 7.493e-03, eta: 15:54:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 2.1530, loss: 2.1530 +2025-05-01 23:03:28,647 - pyskl - INFO - Epoch [95][1700/2353] lr: 7.482e-03, eta: 15:53:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9944, loss_cls: 2.0542, loss: 2.0542 +2025-05-01 23:04:12,717 - pyskl - INFO - Epoch [95][1800/2353] lr: 7.472e-03, eta: 15:53:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 2.0313, loss: 2.0313 +2025-05-01 23:04:56,715 - pyskl - INFO - Epoch [95][1900/2353] lr: 7.462e-03, eta: 15:52:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 2.1340, loss: 2.1340 +2025-05-01 23:05:40,782 - pyskl - INFO - Epoch [95][2000/2353] lr: 7.452e-03, eta: 15:51:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 2.1196, loss: 2.1196 +2025-05-01 23:06:24,801 - pyskl - INFO - Epoch [95][2100/2353] lr: 7.442e-03, eta: 15:50:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 2.1352, loss: 2.1352 +2025-05-01 23:07:08,820 - pyskl - INFO - Epoch [95][2200/2353] lr: 7.431e-03, eta: 15:50:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 2.1410, loss: 2.1410 +2025-05-01 23:07:52,971 - pyskl - INFO - Epoch [95][2300/2353] lr: 7.421e-03, eta: 15:49:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 2.1492, loss: 2.1492 +2025-05-01 23:08:17,037 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-05-01 23:09:46,618 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 23:09:46,697 - pyskl - INFO - +top1_acc 0.9200 +top5_acc 0.9937 +2025-05-01 23:09:46,701 - pyskl - INFO - Epoch(val) [95][1184] top1_acc: 0.9200, top5_acc: 0.9937 +2025-05-01 23:10:51,930 - pyskl - INFO - Epoch [96][100/2353] lr: 7.406e-03, eta: 15:48:16, time: 0.652, data_time: 0.212, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 2.0202, loss: 2.0202 +2025-05-01 23:11:35,995 - pyskl - INFO - Epoch [96][200/2353] lr: 7.396e-03, eta: 15:47:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 2.0025, loss: 2.0025 +2025-05-01 23:12:20,046 - pyskl - INFO - Epoch [96][300/2353] lr: 7.385e-03, eta: 15:46:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 2.0313, loss: 2.0313 +2025-05-01 23:13:04,174 - pyskl - INFO - Epoch [96][400/2353] lr: 7.375e-03, eta: 15:46:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 2.0783, loss: 2.0783 +2025-05-01 23:13:48,193 - pyskl - INFO - Epoch [96][500/2353] lr: 7.365e-03, eta: 15:45:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.9767, loss: 1.9767 +2025-05-01 23:14:32,183 - pyskl - INFO - Epoch [96][600/2353] lr: 7.355e-03, eta: 15:44:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 2.0573, loss: 2.0573 +2025-05-01 23:15:16,188 - pyskl - INFO - Epoch [96][700/2353] lr: 7.345e-03, eta: 15:43:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 1.9815, loss: 1.9815 +2025-05-01 23:16:00,238 - pyskl - INFO - Epoch [96][800/2353] lr: 7.335e-03, eta: 15:43:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9994, loss_cls: 2.0589, loss: 2.0589 +2025-05-01 23:16:44,321 - pyskl - INFO - Epoch [96][900/2353] lr: 7.325e-03, eta: 15:42:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 1.9957, loss: 1.9957 +2025-05-01 23:17:28,383 - pyskl - INFO - Epoch [96][1000/2353] lr: 7.314e-03, eta: 15:41:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 2.1186, loss: 2.1186 +2025-05-01 23:18:12,481 - pyskl - INFO - Epoch [96][1100/2353] lr: 7.304e-03, eta: 15:40:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 2.0722, loss: 2.0722 +2025-05-01 23:18:56,576 - pyskl - INFO - Epoch [96][1200/2353] lr: 7.294e-03, eta: 15:40:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 2.0590, loss: 2.0590 +2025-05-01 23:19:40,758 - pyskl - INFO - Epoch [96][1300/2353] lr: 7.284e-03, eta: 15:39:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 2.1167, loss: 2.1167 +2025-05-01 23:20:24,889 - pyskl - INFO - Epoch [96][1400/2353] lr: 7.274e-03, eta: 15:38:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 2.1683, loss: 2.1683 +2025-05-01 23:21:09,084 - pyskl - INFO - Epoch [96][1500/2353] lr: 7.264e-03, eta: 15:38:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9975, loss_cls: 2.0874, loss: 2.0874 +2025-05-01 23:21:53,197 - pyskl - INFO - Epoch [96][1600/2353] lr: 7.254e-03, eta: 15:37:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 2.1840, loss: 2.1840 +2025-05-01 23:22:37,239 - pyskl - INFO - Epoch [96][1700/2353] lr: 7.244e-03, eta: 15:36:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 2.0780, loss: 2.0780 +2025-05-01 23:23:21,295 - pyskl - INFO - Epoch [96][1800/2353] lr: 7.234e-03, eta: 15:35:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 2.1822, loss: 2.1822 +2025-05-01 23:24:05,397 - pyskl - INFO - Epoch [96][1900/2353] lr: 7.224e-03, eta: 15:35:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 2.0729, loss: 2.0729 +2025-05-01 23:24:49,570 - pyskl - INFO - Epoch [96][2000/2353] lr: 7.213e-03, eta: 15:34:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9975, loss_cls: 2.1296, loss: 2.1296 +2025-05-01 23:25:33,667 - pyskl - INFO - Epoch [96][2100/2353] lr: 7.203e-03, eta: 15:33:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 2.1363, loss: 2.1363 +2025-05-01 23:26:17,786 - pyskl - INFO - Epoch [96][2200/2353] lr: 7.193e-03, eta: 15:32:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 2.0995, loss: 2.0995 +2025-05-01 23:27:01,896 - pyskl - INFO - Epoch [96][2300/2353] lr: 7.183e-03, eta: 15:32:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 2.0581, loss: 2.0581 +2025-05-01 23:27:26,037 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-05-01 23:28:56,369 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 23:28:56,449 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9892 +2025-05-01 23:28:56,453 - pyskl - INFO - Epoch(val) [96][1184] top1_acc: 0.9153, top5_acc: 0.9892 +2025-05-01 23:30:01,654 - pyskl - INFO - Epoch [97][100/2353] lr: 7.168e-03, eta: 15:31:01, time: 0.652, data_time: 0.211, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 1.9791, loss: 1.9791 +2025-05-01 23:30:45,617 - pyskl - INFO - Epoch [97][200/2353] lr: 7.158e-03, eta: 15:30:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 2.0937, loss: 2.0937 +2025-05-01 23:31:29,356 - pyskl - INFO - Epoch [97][300/2353] lr: 7.148e-03, eta: 15:29:32, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 1.9218, loss: 1.9218 +2025-05-01 23:32:13,207 - pyskl - INFO - Epoch [97][400/2353] lr: 7.138e-03, eta: 15:28:48, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 1.9699, loss: 1.9699 +2025-05-01 23:32:57,218 - pyskl - INFO - Epoch [97][500/2353] lr: 7.128e-03, eta: 15:28:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 2.0934, loss: 2.0934 +2025-05-01 23:33:41,399 - pyskl - INFO - Epoch [97][600/2353] lr: 7.118e-03, eta: 15:27:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 2.0389, loss: 2.0389 +2025-05-01 23:34:25,432 - pyskl - INFO - Epoch [97][700/2353] lr: 7.107e-03, eta: 15:26:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 1.9437, loss: 1.9437 +2025-05-01 23:35:09,367 - pyskl - INFO - Epoch [97][800/2353] lr: 7.097e-03, eta: 15:25:52, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 2.1519, loss: 2.1519 +2025-05-01 23:35:53,381 - pyskl - INFO - Epoch [97][900/2353] lr: 7.087e-03, eta: 15:25:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 2.0183, loss: 2.0183 +2025-05-01 23:36:37,512 - pyskl - INFO - Epoch [97][1000/2353] lr: 7.077e-03, eta: 15:24:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 2.0270, loss: 2.0270 +2025-05-01 23:37:21,539 - pyskl - INFO - Epoch [97][1100/2353] lr: 7.067e-03, eta: 15:23:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 2.0269, loss: 2.0269 +2025-05-01 23:38:05,558 - pyskl - INFO - Epoch [97][1200/2353] lr: 7.057e-03, eta: 15:22:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 2.0177, loss: 2.0177 +2025-05-01 23:38:49,721 - pyskl - INFO - Epoch [97][1300/2353] lr: 7.047e-03, eta: 15:22:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 2.0719, loss: 2.0719 +2025-05-01 23:39:33,805 - pyskl - INFO - Epoch [97][1400/2353] lr: 7.037e-03, eta: 15:21:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9975, loss_cls: 2.2132, loss: 2.2132 +2025-05-01 23:40:17,802 - pyskl - INFO - Epoch [97][1500/2353] lr: 7.027e-03, eta: 15:20:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 2.1002, loss: 2.1002 +2025-05-01 23:41:01,819 - pyskl - INFO - Epoch [97][1600/2353] lr: 7.017e-03, eta: 15:20:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 2.1015, loss: 2.1015 +2025-05-01 23:41:45,798 - pyskl - INFO - Epoch [97][1700/2353] lr: 7.007e-03, eta: 15:19:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 2.1273, loss: 2.1273 +2025-05-01 23:42:29,742 - pyskl - INFO - Epoch [97][1800/2353] lr: 6.997e-03, eta: 15:18:33, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 2.1075, loss: 2.1075 +2025-05-01 23:43:13,711 - pyskl - INFO - Epoch [97][1900/2353] lr: 6.987e-03, eta: 15:17:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 2.1214, loss: 2.1214 +2025-05-01 23:43:57,660 - pyskl - INFO - Epoch [97][2000/2353] lr: 6.977e-03, eta: 15:17:05, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 2.0866, loss: 2.0866 +2025-05-01 23:44:41,704 - pyskl - INFO - Epoch [97][2100/2353] lr: 6.967e-03, eta: 15:16:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9950, loss_cls: 1.9580, loss: 1.9580 +2025-05-01 23:45:25,687 - pyskl - INFO - Epoch [97][2200/2353] lr: 6.957e-03, eta: 15:15:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9975, loss_cls: 2.1154, loss: 2.1154 +2025-05-01 23:46:09,760 - pyskl - INFO - Epoch [97][2300/2353] lr: 6.947e-03, eta: 15:14:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9994, loss_cls: 2.0747, loss: 2.0747 +2025-05-01 23:46:33,778 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-05-01 23:48:04,587 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-01 23:48:04,669 - pyskl - INFO - +top1_acc 0.9274 +top5_acc 0.9939 +2025-05-01 23:48:04,727 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_85.pth was removed +2025-05-01 23:48:05,908 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. +2025-05-01 23:48:05,909 - pyskl - INFO - Best top1_acc is 0.9274 at 97 epoch. +2025-05-01 23:48:05,913 - pyskl - INFO - Epoch(val) [97][1184] top1_acc: 0.9274, top5_acc: 0.9939 +2025-05-01 23:49:11,011 - pyskl - INFO - Epoch [98][100/2353] lr: 6.932e-03, eta: 15:13:44, time: 0.651, data_time: 0.210, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 2.0109, loss: 2.0109 +2025-05-01 23:49:54,983 - pyskl - INFO - Epoch [98][200/2353] lr: 6.922e-03, eta: 15:13:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 1.9901, loss: 1.9901 +2025-05-01 23:50:39,038 - pyskl - INFO - Epoch [98][300/2353] lr: 6.912e-03, eta: 15:12:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 2.0069, loss: 2.0069 +2025-05-01 23:51:23,045 - pyskl - INFO - Epoch [98][400/2353] lr: 6.902e-03, eta: 15:11:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 1.9800, loss: 1.9800 +2025-05-01 23:52:07,051 - pyskl - INFO - Epoch [98][500/2353] lr: 6.892e-03, eta: 15:10:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 1.9755, loss: 1.9755 +2025-05-01 23:52:51,103 - pyskl - INFO - Epoch [98][600/2353] lr: 6.882e-03, eta: 15:10:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 1.9952, loss: 1.9952 +2025-05-01 23:53:35,026 - pyskl - INFO - Epoch [98][700/2353] lr: 6.873e-03, eta: 15:09:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 2.0425, loss: 2.0425 +2025-05-01 23:54:19,067 - pyskl - INFO - Epoch [98][800/2353] lr: 6.863e-03, eta: 15:08:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 1.9313, loss: 1.9313 +2025-05-01 23:55:03,078 - pyskl - INFO - Epoch [98][900/2353] lr: 6.853e-03, eta: 15:07:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 2.1026, loss: 2.1026 +2025-05-01 23:55:47,192 - pyskl - INFO - Epoch [98][1000/2353] lr: 6.843e-03, eta: 15:07:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 2.0436, loss: 2.0436 +2025-05-01 23:56:31,290 - pyskl - INFO - Epoch [98][1100/2353] lr: 6.833e-03, eta: 15:06:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 2.0346, loss: 2.0346 +2025-05-01 23:57:15,426 - pyskl - INFO - Epoch [98][1200/2353] lr: 6.823e-03, eta: 15:05:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 2.0535, loss: 2.0535 +2025-05-01 23:57:59,461 - pyskl - INFO - Epoch [98][1300/2353] lr: 6.813e-03, eta: 15:04:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 1.9769, loss: 1.9769 +2025-05-01 23:58:43,475 - pyskl - INFO - Epoch [98][1400/2353] lr: 6.803e-03, eta: 15:04:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 2.0904, loss: 2.0904 +2025-05-01 23:59:27,415 - pyskl - INFO - Epoch [98][1500/2353] lr: 6.793e-03, eta: 15:03:28, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 2.0194, loss: 2.0194 +2025-05-02 00:00:11,389 - pyskl - INFO - Epoch [98][1600/2353] lr: 6.783e-03, eta: 15:02:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 2.0700, loss: 2.0700 +2025-05-02 00:00:55,330 - pyskl - INFO - Epoch [98][1700/2353] lr: 6.773e-03, eta: 15:02:00, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 2.0354, loss: 2.0354 +2025-05-02 00:01:39,387 - pyskl - INFO - Epoch [98][1800/2353] lr: 6.763e-03, eta: 15:01:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9988, loss_cls: 2.0791, loss: 2.0791 +2025-05-02 00:02:23,375 - pyskl - INFO - Epoch [98][1900/2353] lr: 6.754e-03, eta: 15:00:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 2.1156, loss: 2.1156 +2025-05-02 00:03:07,407 - pyskl - INFO - Epoch [98][2000/2353] lr: 6.744e-03, eta: 14:59:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 1.9875, loss: 1.9875 +2025-05-02 00:03:51,382 - pyskl - INFO - Epoch [98][2100/2353] lr: 6.734e-03, eta: 14:59:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9994, loss_cls: 2.0450, loss: 2.0450 +2025-05-02 00:04:35,346 - pyskl - INFO - Epoch [98][2200/2353] lr: 6.724e-03, eta: 14:58:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 2.1263, loss: 2.1263 +2025-05-02 00:05:19,426 - pyskl - INFO - Epoch [98][2300/2353] lr: 6.714e-03, eta: 14:57:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 2.0650, loss: 2.0650 +2025-05-02 00:05:43,442 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-05-02 00:07:13,449 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 00:07:13,529 - pyskl - INFO - +top1_acc 0.9210 +top5_acc 0.9922 +2025-05-02 00:07:13,532 - pyskl - INFO - Epoch(val) [98][1184] top1_acc: 0.9210, top5_acc: 0.9922 +2025-05-02 00:08:18,722 - pyskl - INFO - Epoch [99][100/2353] lr: 6.699e-03, eta: 14:56:28, time: 0.652, data_time: 0.213, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 2.0240, loss: 2.0240 +2025-05-02 00:09:02,690 - pyskl - INFO - Epoch [99][200/2353] lr: 6.689e-03, eta: 14:55:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 1.9407, loss: 1.9407 +2025-05-02 00:09:46,669 - pyskl - INFO - Epoch [99][300/2353] lr: 6.679e-03, eta: 14:55:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 2.0495, loss: 2.0495 +2025-05-02 00:10:30,674 - pyskl - INFO - Epoch [99][400/2353] lr: 6.669e-03, eta: 14:54:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 1.9477, loss: 1.9477 +2025-05-02 00:11:14,618 - pyskl - INFO - Epoch [99][500/2353] lr: 6.660e-03, eta: 14:53:32, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 1.9342, loss: 1.9342 +2025-05-02 00:11:58,533 - pyskl - INFO - Epoch [99][600/2353] lr: 6.650e-03, eta: 14:52:48, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 2.0188, loss: 2.0188 +2025-05-02 00:12:42,501 - pyskl - INFO - Epoch [99][700/2353] lr: 6.640e-03, eta: 14:52:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.9174, loss: 1.9174 +2025-05-02 00:13:26,511 - pyskl - INFO - Epoch [99][800/2353] lr: 6.630e-03, eta: 14:51:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 2.0148, loss: 2.0148 +2025-05-02 00:14:10,433 - pyskl - INFO - Epoch [99][900/2353] lr: 6.620e-03, eta: 14:50:36, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 1.9824, loss: 1.9824 +2025-05-02 00:14:54,311 - pyskl - INFO - Epoch [99][1000/2353] lr: 6.611e-03, eta: 14:49:52, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 1.9779, loss: 1.9779 +2025-05-02 00:15:38,314 - pyskl - INFO - Epoch [99][1100/2353] lr: 6.601e-03, eta: 14:49:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 1.8823, loss: 1.8823 +2025-05-02 00:16:22,343 - pyskl - INFO - Epoch [99][1200/2353] lr: 6.591e-03, eta: 14:48:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 2.0199, loss: 2.0199 +2025-05-02 00:17:06,384 - pyskl - INFO - Epoch [99][1300/2353] lr: 6.581e-03, eta: 14:47:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 2.0048, loss: 2.0048 +2025-05-02 00:17:50,362 - pyskl - INFO - Epoch [99][1400/2353] lr: 6.571e-03, eta: 14:46:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 2.0156, loss: 2.0156 +2025-05-02 00:18:34,346 - pyskl - INFO - Epoch [99][1500/2353] lr: 6.562e-03, eta: 14:46:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 2.0247, loss: 2.0247 +2025-05-02 00:19:18,329 - pyskl - INFO - Epoch [99][1600/2353] lr: 6.552e-03, eta: 14:45:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9944, loss_cls: 2.0280, loss: 2.0280 +2025-05-02 00:20:02,356 - pyskl - INFO - Epoch [99][1700/2353] lr: 6.542e-03, eta: 14:44:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 2.0068, loss: 2.0068 +2025-05-02 00:20:46,377 - pyskl - INFO - Epoch [99][1800/2353] lr: 6.532e-03, eta: 14:44:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 1.9968, loss: 1.9968 +2025-05-02 00:21:30,258 - pyskl - INFO - Epoch [99][1900/2353] lr: 6.522e-03, eta: 14:43:16, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 2.0503, loss: 2.0503 +2025-05-02 00:22:14,242 - pyskl - INFO - Epoch [99][2000/2353] lr: 6.513e-03, eta: 14:42:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9938, loss_cls: 2.0299, loss: 2.0299 +2025-05-02 00:22:58,225 - pyskl - INFO - Epoch [99][2100/2353] lr: 6.503e-03, eta: 14:41:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 2.0163, loss: 2.0163 +2025-05-02 00:23:42,235 - pyskl - INFO - Epoch [99][2200/2353] lr: 6.493e-03, eta: 14:41:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9988, loss_cls: 2.0879, loss: 2.0879 +2025-05-02 00:24:26,220 - pyskl - INFO - Epoch [99][2300/2353] lr: 6.483e-03, eta: 14:40:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 2.0559, loss: 2.0559 +2025-05-02 00:24:50,277 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-05-02 00:26:20,368 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 00:26:20,445 - pyskl - INFO - +top1_acc 0.9256 +top5_acc 0.9938 +2025-05-02 00:26:20,449 - pyskl - INFO - Epoch(val) [99][1184] top1_acc: 0.9256, top5_acc: 0.9938 +2025-05-02 00:27:25,352 - pyskl - INFO - Epoch [100][100/2353] lr: 6.468e-03, eta: 14:39:11, time: 0.649, data_time: 0.209, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 1.9764, loss: 1.9764 +2025-05-02 00:28:09,414 - pyskl - INFO - Epoch [100][200/2353] lr: 6.459e-03, eta: 14:38:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 1.8486, loss: 1.8486 +2025-05-02 00:28:53,527 - pyskl - INFO - Epoch [100][300/2353] lr: 6.449e-03, eta: 14:37:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 2.0189, loss: 2.0189 +2025-05-02 00:29:37,622 - pyskl - INFO - Epoch [100][400/2353] lr: 6.439e-03, eta: 14:36:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 1.8927, loss: 1.8927 +2025-05-02 00:30:21,798 - pyskl - INFO - Epoch [100][500/2353] lr: 6.429e-03, eta: 14:36:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 1.8863, loss: 1.8863 +2025-05-02 00:31:05,951 - pyskl - INFO - Epoch [100][600/2353] lr: 6.420e-03, eta: 14:35:32, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 1.9885, loss: 1.9885 +2025-05-02 00:31:50,045 - pyskl - INFO - Epoch [100][700/2353] lr: 6.410e-03, eta: 14:34:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 1.9322, loss: 1.9322 +2025-05-02 00:32:34,201 - pyskl - INFO - Epoch [100][800/2353] lr: 6.400e-03, eta: 14:34:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 1.9798, loss: 1.9798 +2025-05-02 00:33:18,355 - pyskl - INFO - Epoch [100][900/2353] lr: 6.391e-03, eta: 14:33:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 1.9831, loss: 1.9831 +2025-05-02 00:34:02,655 - pyskl - INFO - Epoch [100][1000/2353] lr: 6.381e-03, eta: 14:32:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 2.0687, loss: 2.0687 +2025-05-02 00:34:46,805 - pyskl - INFO - Epoch [100][1100/2353] lr: 6.371e-03, eta: 14:31:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 1.9480, loss: 1.9480 +2025-05-02 00:35:31,065 - pyskl - INFO - Epoch [100][1200/2353] lr: 6.362e-03, eta: 14:31:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 1.9185, loss: 1.9185 +2025-05-02 00:36:15,217 - pyskl - INFO - Epoch [100][1300/2353] lr: 6.352e-03, eta: 14:30:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 2.0873, loss: 2.0873 +2025-05-02 00:36:59,335 - pyskl - INFO - Epoch [100][1400/2353] lr: 6.342e-03, eta: 14:29:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 1.9679, loss: 1.9679 +2025-05-02 00:37:43,513 - pyskl - INFO - Epoch [100][1500/2353] lr: 6.332e-03, eta: 14:28:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 2.0218, loss: 2.0218 +2025-05-02 00:38:27,661 - pyskl - INFO - Epoch [100][1600/2353] lr: 6.323e-03, eta: 14:28:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 2.1005, loss: 2.1005 +2025-05-02 00:39:11,783 - pyskl - INFO - Epoch [100][1700/2353] lr: 6.313e-03, eta: 14:27:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 1.9063, loss: 1.9063 +2025-05-02 00:39:56,195 - pyskl - INFO - Epoch [100][1800/2353] lr: 6.303e-03, eta: 14:26:45, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9975, loss_cls: 2.0776, loss: 2.0776 +2025-05-02 00:40:40,502 - pyskl - INFO - Epoch [100][1900/2353] lr: 6.294e-03, eta: 14:26:01, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 1.9860, loss: 1.9860 +2025-05-02 00:41:24,882 - pyskl - INFO - Epoch [100][2000/2353] lr: 6.284e-03, eta: 14:25:17, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 2.0383, loss: 2.0383 +2025-05-02 00:42:08,979 - pyskl - INFO - Epoch [100][2100/2353] lr: 6.274e-03, eta: 14:24:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 2.0685, loss: 2.0685 +2025-05-02 00:42:53,159 - pyskl - INFO - Epoch [100][2200/2353] lr: 6.265e-03, eta: 14:23:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 2.0654, loss: 2.0654 +2025-05-02 00:43:37,247 - pyskl - INFO - Epoch [100][2300/2353] lr: 6.255e-03, eta: 14:23:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 2.0285, loss: 2.0285 +2025-05-02 00:44:01,399 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-05-02 00:45:31,555 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 00:45:31,633 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9916 +2025-05-02 00:45:31,636 - pyskl - INFO - Epoch(val) [100][1184] top1_acc: 0.9175, top5_acc: 0.9916 +2025-05-02 00:46:36,734 - pyskl - INFO - Epoch [101][100/2353] lr: 6.240e-03, eta: 14:21:57, time: 0.651, data_time: 0.212, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 1.9512, loss: 1.9512 +2025-05-02 00:47:20,655 - pyskl - INFO - Epoch [101][200/2353] lr: 6.231e-03, eta: 14:21:13, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 1.9819, loss: 1.9819 +2025-05-02 00:48:04,692 - pyskl - INFO - Epoch [101][300/2353] lr: 6.221e-03, eta: 14:20:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 1.8796, loss: 1.8796 +2025-05-02 00:48:48,751 - pyskl - INFO - Epoch [101][400/2353] lr: 6.212e-03, eta: 14:19:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 1.9159, loss: 1.9159 +2025-05-02 00:49:32,707 - pyskl - INFO - Epoch [101][500/2353] lr: 6.202e-03, eta: 14:19:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 1.9052, loss: 1.9052 +2025-05-02 00:50:16,638 - pyskl - INFO - Epoch [101][600/2353] lr: 6.192e-03, eta: 14:18:17, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 1.9031, loss: 1.9031 +2025-05-02 00:51:00,633 - pyskl - INFO - Epoch [101][700/2353] lr: 6.183e-03, eta: 14:17:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 1.9601, loss: 1.9601 +2025-05-02 00:51:44,603 - pyskl - INFO - Epoch [101][800/2353] lr: 6.173e-03, eta: 14:16:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 1.9734, loss: 1.9734 +2025-05-02 00:52:28,741 - pyskl - INFO - Epoch [101][900/2353] lr: 6.164e-03, eta: 14:16:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 1.9615, loss: 1.9615 +2025-05-02 00:53:12,870 - pyskl - INFO - Epoch [101][1000/2353] lr: 6.154e-03, eta: 14:15:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 2.0008, loss: 2.0008 +2025-05-02 00:53:57,171 - pyskl - INFO - Epoch [101][1100/2353] lr: 6.144e-03, eta: 14:14:37, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 1.9760, loss: 1.9760 +2025-05-02 00:54:41,138 - pyskl - INFO - Epoch [101][1200/2353] lr: 6.135e-03, eta: 14:13:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 2.0049, loss: 2.0049 +2025-05-02 00:55:25,179 - pyskl - INFO - Epoch [101][1300/2353] lr: 6.125e-03, eta: 14:13:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 1.9403, loss: 1.9403 +2025-05-02 00:56:09,162 - pyskl - INFO - Epoch [101][1400/2353] lr: 6.116e-03, eta: 14:12:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 2.0152, loss: 2.0152 +2025-05-02 00:56:53,046 - pyskl - INFO - Epoch [101][1500/2353] lr: 6.106e-03, eta: 14:11:41, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 1.9901, loss: 1.9901 +2025-05-02 00:57:36,997 - pyskl - INFO - Epoch [101][1600/2353] lr: 6.097e-03, eta: 14:10:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 1.9812, loss: 1.9812 +2025-05-02 00:58:20,949 - pyskl - INFO - Epoch [101][1700/2353] lr: 6.087e-03, eta: 14:10:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 1.9908, loss: 1.9908 +2025-05-02 00:59:04,794 - pyskl - INFO - Epoch [101][1800/2353] lr: 6.077e-03, eta: 14:09:29, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 2.0207, loss: 2.0207 +2025-05-02 00:59:48,758 - pyskl - INFO - Epoch [101][1900/2353] lr: 6.068e-03, eta: 14:08:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 1.9055, loss: 1.9055 +2025-05-02 01:00:32,703 - pyskl - INFO - Epoch [101][2000/2353] lr: 6.058e-03, eta: 14:08:01, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 1.9088, loss: 1.9088 +2025-05-02 01:01:16,822 - pyskl - INFO - Epoch [101][2100/2353] lr: 6.049e-03, eta: 14:07:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 1.9681, loss: 1.9681 +2025-05-02 01:02:00,847 - pyskl - INFO - Epoch [101][2200/2353] lr: 6.039e-03, eta: 14:06:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 1.9543, loss: 1.9543 +2025-05-02 01:02:44,896 - pyskl - INFO - Epoch [101][2300/2353] lr: 6.030e-03, eta: 14:05:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 1.9937, loss: 1.9937 +2025-05-02 01:03:08,925 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-05-02 01:04:38,893 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 01:04:38,972 - pyskl - INFO - +top1_acc 0.9133 +top5_acc 0.9929 +2025-05-02 01:04:38,975 - pyskl - INFO - Epoch(val) [101][1184] top1_acc: 0.9133, top5_acc: 0.9929 +2025-05-02 01:05:44,227 - pyskl - INFO - Epoch [102][100/2353] lr: 6.015e-03, eta: 14:04:41, time: 0.652, data_time: 0.210, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 1.9483, loss: 1.9483 +2025-05-02 01:06:28,327 - pyskl - INFO - Epoch [102][200/2353] lr: 6.006e-03, eta: 14:03:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 1.9312, loss: 1.9312 +2025-05-02 01:07:12,492 - pyskl - INFO - Epoch [102][300/2353] lr: 5.996e-03, eta: 14:03:13, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.9528, loss: 1.9528 +2025-05-02 01:07:56,686 - pyskl - INFO - Epoch [102][400/2353] lr: 5.987e-03, eta: 14:02:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 2.0210, loss: 2.0210 +2025-05-02 01:08:40,970 - pyskl - INFO - Epoch [102][500/2353] lr: 5.977e-03, eta: 14:01:45, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.7746, loss: 1.7746 +2025-05-02 01:09:25,051 - pyskl - INFO - Epoch [102][600/2353] lr: 5.968e-03, eta: 14:01:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 1.9271, loss: 1.9271 +2025-05-02 01:10:08,877 - pyskl - INFO - Epoch [102][700/2353] lr: 5.958e-03, eta: 14:00:17, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 1.8813, loss: 1.8813 +2025-05-02 01:10:52,882 - pyskl - INFO - Epoch [102][800/2353] lr: 5.949e-03, eta: 13:59:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.8658, loss: 1.8658 +2025-05-02 01:11:36,962 - pyskl - INFO - Epoch [102][900/2353] lr: 5.939e-03, eta: 13:58:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 1.8108, loss: 1.8108 +2025-05-02 01:12:21,134 - pyskl - INFO - Epoch [102][1000/2353] lr: 5.930e-03, eta: 13:58:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 1.9022, loss: 1.9022 +2025-05-02 01:13:05,181 - pyskl - INFO - Epoch [102][1100/2353] lr: 5.920e-03, eta: 13:57:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 2.0143, loss: 2.0143 +2025-05-02 01:13:49,239 - pyskl - INFO - Epoch [102][1200/2353] lr: 5.911e-03, eta: 13:56:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 1.9624, loss: 1.9624 +2025-05-02 01:14:33,315 - pyskl - INFO - Epoch [102][1300/2353] lr: 5.901e-03, eta: 13:55:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 2.0102, loss: 2.0102 +2025-05-02 01:15:17,339 - pyskl - INFO - Epoch [102][1400/2353] lr: 5.892e-03, eta: 13:55:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 1.9832, loss: 1.9832 +2025-05-02 01:16:01,387 - pyskl - INFO - Epoch [102][1500/2353] lr: 5.883e-03, eta: 13:54:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 2.0355, loss: 2.0355 +2025-05-02 01:16:45,420 - pyskl - INFO - Epoch [102][1600/2353] lr: 5.873e-03, eta: 13:53:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 2.0504, loss: 2.0504 +2025-05-02 01:17:29,478 - pyskl - INFO - Epoch [102][1700/2353] lr: 5.864e-03, eta: 13:52:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 1.9613, loss: 1.9613 +2025-05-02 01:18:13,514 - pyskl - INFO - Epoch [102][1800/2353] lr: 5.854e-03, eta: 13:52:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 2.0208, loss: 2.0208 +2025-05-02 01:18:57,625 - pyskl - INFO - Epoch [102][1900/2353] lr: 5.845e-03, eta: 13:51:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 1.9258, loss: 1.9258 +2025-05-02 01:19:41,775 - pyskl - INFO - Epoch [102][2000/2353] lr: 5.835e-03, eta: 13:50:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 1.9579, loss: 1.9579 +2025-05-02 01:20:25,896 - pyskl - INFO - Epoch [102][2100/2353] lr: 5.826e-03, eta: 13:50:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 1.9627, loss: 1.9627 +2025-05-02 01:21:10,053 - pyskl - INFO - Epoch [102][2200/2353] lr: 5.817e-03, eta: 13:49:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 1.9891, loss: 1.9891 +2025-05-02 01:21:54,079 - pyskl - INFO - Epoch [102][2300/2353] lr: 5.807e-03, eta: 13:48:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 1.9301, loss: 1.9301 +2025-05-02 01:22:18,186 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-05-02 01:23:47,935 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 01:23:48,011 - pyskl - INFO - +top1_acc 0.9145 +top5_acc 0.9927 +2025-05-02 01:23:48,015 - pyskl - INFO - Epoch(val) [102][1184] top1_acc: 0.9145, top5_acc: 0.9927 +2025-05-02 01:24:53,223 - pyskl - INFO - Epoch [103][100/2353] lr: 5.793e-03, eta: 13:47:26, time: 0.652, data_time: 0.212, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 1.8523, loss: 1.8523 +2025-05-02 01:25:37,148 - pyskl - INFO - Epoch [103][200/2353] lr: 5.783e-03, eta: 13:46:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 1.8583, loss: 1.8583 +2025-05-02 01:26:21,125 - pyskl - INFO - Epoch [103][300/2353] lr: 5.774e-03, eta: 13:45:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 1.8913, loss: 1.8913 +2025-05-02 01:27:05,129 - pyskl - INFO - Epoch [103][400/2353] lr: 5.765e-03, eta: 13:45:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.8331, loss: 1.8331 +2025-05-02 01:27:49,153 - pyskl - INFO - Epoch [103][500/2353] lr: 5.755e-03, eta: 13:44:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 2.0295, loss: 2.0295 +2025-05-02 01:28:33,291 - pyskl - INFO - Epoch [103][600/2353] lr: 5.746e-03, eta: 13:43:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.8835, loss: 1.8835 +2025-05-02 01:29:17,510 - pyskl - INFO - Epoch [103][700/2353] lr: 5.737e-03, eta: 13:43:02, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 1.9408, loss: 1.9408 +2025-05-02 01:30:01,563 - pyskl - INFO - Epoch [103][800/2353] lr: 5.727e-03, eta: 13:42:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 1.9223, loss: 1.9223 +2025-05-02 01:30:45,603 - pyskl - INFO - Epoch [103][900/2353] lr: 5.718e-03, eta: 13:41:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 1.8532, loss: 1.8532 +2025-05-02 01:31:29,495 - pyskl - INFO - Epoch [103][1000/2353] lr: 5.709e-03, eta: 13:40:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 1.9548, loss: 1.9548 +2025-05-02 01:32:13,430 - pyskl - INFO - Epoch [103][1100/2353] lr: 5.699e-03, eta: 13:40:06, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 1.9776, loss: 1.9776 +2025-05-02 01:32:57,648 - pyskl - INFO - Epoch [103][1200/2353] lr: 5.690e-03, eta: 13:39:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 1.9195, loss: 1.9195 +2025-05-02 01:33:41,906 - pyskl - INFO - Epoch [103][1300/2353] lr: 5.681e-03, eta: 13:38:38, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 1.9194, loss: 1.9194 +2025-05-02 01:34:26,039 - pyskl - INFO - Epoch [103][1400/2353] lr: 5.671e-03, eta: 13:37:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 1.9722, loss: 1.9722 +2025-05-02 01:35:10,224 - pyskl - INFO - Epoch [103][1500/2353] lr: 5.662e-03, eta: 13:37:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 1.9796, loss: 1.9796 +2025-05-02 01:35:54,301 - pyskl - INFO - Epoch [103][1600/2353] lr: 5.653e-03, eta: 13:36:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 1.9272, loss: 1.9272 +2025-05-02 01:36:38,368 - pyskl - INFO - Epoch [103][1700/2353] lr: 5.643e-03, eta: 13:35:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 1.9397, loss: 1.9397 +2025-05-02 01:37:22,258 - pyskl - INFO - Epoch [103][1800/2353] lr: 5.634e-03, eta: 13:34:58, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 1.9692, loss: 1.9692 +2025-05-02 01:38:06,368 - pyskl - INFO - Epoch [103][1900/2353] lr: 5.625e-03, eta: 13:34:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 1.9832, loss: 1.9832 +2025-05-02 01:38:50,315 - pyskl - INFO - Epoch [103][2000/2353] lr: 5.615e-03, eta: 13:33:30, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.9000, loss: 1.9000 +2025-05-02 01:39:34,246 - pyskl - INFO - Epoch [103][2100/2353] lr: 5.606e-03, eta: 13:32:46, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 1.9730, loss: 1.9730 +2025-05-02 01:40:18,263 - pyskl - INFO - Epoch [103][2200/2353] lr: 5.597e-03, eta: 13:32:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 1.9058, loss: 1.9058 +2025-05-02 01:41:02,273 - pyskl - INFO - Epoch [103][2300/2353] lr: 5.588e-03, eta: 13:31:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 1.9124, loss: 1.9124 +2025-05-02 01:41:26,326 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-05-02 01:42:56,368 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 01:42:56,443 - pyskl - INFO - +top1_acc 0.9228 +top5_acc 0.9924 +2025-05-02 01:42:56,447 - pyskl - INFO - Epoch(val) [103][1184] top1_acc: 0.9228, top5_acc: 0.9924 +2025-05-02 01:44:01,916 - pyskl - INFO - Epoch [104][100/2353] lr: 5.573e-03, eta: 13:30:10, time: 0.655, data_time: 0.215, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.7711, loss: 1.7711 +2025-05-02 01:44:45,972 - pyskl - INFO - Epoch [104][200/2353] lr: 5.564e-03, eta: 13:29:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 1.8525, loss: 1.8525 +2025-05-02 01:45:29,908 - pyskl - INFO - Epoch [104][300/2353] lr: 5.555e-03, eta: 13:28:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 1.8411, loss: 1.8411 +2025-05-02 01:46:14,000 - pyskl - INFO - Epoch [104][400/2353] lr: 5.546e-03, eta: 13:27:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 1.8946, loss: 1.8946 +2025-05-02 01:46:58,088 - pyskl - INFO - Epoch [104][500/2353] lr: 5.536e-03, eta: 13:27:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 1.0000, loss_cls: 1.9352, loss: 1.9352 +2025-05-02 01:47:42,231 - pyskl - INFO - Epoch [104][600/2353] lr: 5.527e-03, eta: 13:26:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 1.8367, loss: 1.8367 +2025-05-02 01:48:26,289 - pyskl - INFO - Epoch [104][700/2353] lr: 5.518e-03, eta: 13:25:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.8760, loss: 1.8760 +2025-05-02 01:49:10,354 - pyskl - INFO - Epoch [104][800/2353] lr: 5.509e-03, eta: 13:25:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 1.9281, loss: 1.9281 +2025-05-02 01:49:54,282 - pyskl - INFO - Epoch [104][900/2353] lr: 5.500e-03, eta: 13:24:18, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 1.8668, loss: 1.8668 +2025-05-02 01:50:38,222 - pyskl - INFO - Epoch [104][1000/2353] lr: 5.490e-03, eta: 13:23:34, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.7804, loss: 1.7804 +2025-05-02 01:51:22,100 - pyskl - INFO - Epoch [104][1100/2353] lr: 5.481e-03, eta: 13:22:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 1.8493, loss: 1.8493 +2025-05-02 01:52:06,127 - pyskl - INFO - Epoch [104][1200/2353] lr: 5.472e-03, eta: 13:22:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 1.8670, loss: 1.8670 +2025-05-02 01:52:50,151 - pyskl - INFO - Epoch [104][1300/2353] lr: 5.463e-03, eta: 13:21:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 1.9138, loss: 1.9138 +2025-05-02 01:53:34,142 - pyskl - INFO - Epoch [104][1400/2353] lr: 5.453e-03, eta: 13:20:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 1.9725, loss: 1.9725 +2025-05-02 01:54:18,112 - pyskl - INFO - Epoch [104][1500/2353] lr: 5.444e-03, eta: 13:19:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 1.8814, loss: 1.8814 +2025-05-02 01:55:02,126 - pyskl - INFO - Epoch [104][1600/2353] lr: 5.435e-03, eta: 13:19:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 1.8472, loss: 1.8472 +2025-05-02 01:55:46,103 - pyskl - INFO - Epoch [104][1700/2353] lr: 5.426e-03, eta: 13:18:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 1.9107, loss: 1.9107 +2025-05-02 01:56:30,151 - pyskl - INFO - Epoch [104][1800/2353] lr: 5.417e-03, eta: 13:17:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 1.9168, loss: 1.9168 +2025-05-02 01:57:14,298 - pyskl - INFO - Epoch [104][1900/2353] lr: 5.408e-03, eta: 13:16:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.9072, loss: 1.9072 +2025-05-02 01:57:58,297 - pyskl - INFO - Epoch [104][2000/2353] lr: 5.398e-03, eta: 13:16:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 1.8869, loss: 1.8869 +2025-05-02 01:58:42,364 - pyskl - INFO - Epoch [104][2100/2353] lr: 5.389e-03, eta: 13:15:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 1.9609, loss: 1.9609 +2025-05-02 01:59:26,521 - pyskl - INFO - Epoch [104][2200/2353] lr: 5.380e-03, eta: 13:14:46, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 1.9826, loss: 1.9826 +2025-05-02 02:00:10,707 - pyskl - INFO - Epoch [104][2300/2353] lr: 5.371e-03, eta: 13:14:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 2.0087, loss: 2.0087 +2025-05-02 02:00:34,745 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-05-02 02:02:05,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 02:02:06,051 - pyskl - INFO - +top1_acc 0.9230 +top5_acc 0.9929 +2025-05-02 02:02:06,055 - pyskl - INFO - Epoch(val) [104][1184] top1_acc: 0.9230, top5_acc: 0.9929 +2025-05-02 02:03:11,071 - pyskl - INFO - Epoch [105][100/2353] lr: 5.357e-03, eta: 13:12:54, time: 0.650, data_time: 0.210, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 1.7807, loss: 1.7807 +2025-05-02 02:03:55,077 - pyskl - INFO - Epoch [105][200/2353] lr: 5.348e-03, eta: 13:12:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.8187, loss: 1.8187 +2025-05-02 02:04:39,187 - pyskl - INFO - Epoch [105][300/2353] lr: 5.339e-03, eta: 13:11:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 1.0000, loss_cls: 1.9062, loss: 1.9062 +2025-05-02 02:05:23,402 - pyskl - INFO - Epoch [105][400/2353] lr: 5.330e-03, eta: 13:10:42, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 1.7865, loss: 1.7865 +2025-05-02 02:06:07,574 - pyskl - INFO - Epoch [105][500/2353] lr: 5.321e-03, eta: 13:09:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 1.8500, loss: 1.8500 +2025-05-02 02:06:51,730 - pyskl - INFO - Epoch [105][600/2353] lr: 5.311e-03, eta: 13:09:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.7833, loss: 1.7833 +2025-05-02 02:07:35,879 - pyskl - INFO - Epoch [105][700/2353] lr: 5.302e-03, eta: 13:08:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 1.8690, loss: 1.8690 +2025-05-02 02:08:19,965 - pyskl - INFO - Epoch [105][800/2353] lr: 5.293e-03, eta: 13:07:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.8285, loss: 1.8285 +2025-05-02 02:09:03,918 - pyskl - INFO - Epoch [105][900/2353] lr: 5.284e-03, eta: 13:07:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 1.9005, loss: 1.9005 +2025-05-02 02:09:47,934 - pyskl - INFO - Epoch [105][1000/2353] lr: 5.275e-03, eta: 13:06:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 1.8806, loss: 1.8806 +2025-05-02 02:10:31,871 - pyskl - INFO - Epoch [105][1100/2353] lr: 5.266e-03, eta: 13:05:35, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.8640, loss: 1.8640 +2025-05-02 02:11:15,759 - pyskl - INFO - Epoch [105][1200/2353] lr: 5.257e-03, eta: 13:04:51, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.8130, loss: 1.8130 +2025-05-02 02:11:59,722 - pyskl - INFO - Epoch [105][1300/2353] lr: 5.248e-03, eta: 13:04:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 1.8616, loss: 1.8616 +2025-05-02 02:12:43,746 - pyskl - INFO - Epoch [105][1400/2353] lr: 5.239e-03, eta: 13:03:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 1.8270, loss: 1.8270 +2025-05-02 02:13:27,759 - pyskl - INFO - Epoch [105][1500/2353] lr: 5.230e-03, eta: 13:02:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 1.8840, loss: 1.8840 +2025-05-02 02:14:11,975 - pyskl - INFO - Epoch [105][1600/2353] lr: 5.221e-03, eta: 13:01:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 1.9456, loss: 1.9456 +2025-05-02 02:14:56,142 - pyskl - INFO - Epoch [105][1700/2353] lr: 5.212e-03, eta: 13:01:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 1.8457, loss: 1.8457 +2025-05-02 02:15:40,377 - pyskl - INFO - Epoch [105][1800/2353] lr: 5.203e-03, eta: 13:00:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 1.8618, loss: 1.8618 +2025-05-02 02:16:24,486 - pyskl - INFO - Epoch [105][1900/2353] lr: 5.194e-03, eta: 12:59:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.9059, loss: 1.9059 +2025-05-02 02:17:08,580 - pyskl - INFO - Epoch [105][2000/2353] lr: 5.185e-03, eta: 12:58:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 1.9469, loss: 1.9469 +2025-05-02 02:17:52,690 - pyskl - INFO - Epoch [105][2100/2353] lr: 5.176e-03, eta: 12:58:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 1.9357, loss: 1.9357 +2025-05-02 02:18:36,803 - pyskl - INFO - Epoch [105][2200/2353] lr: 5.167e-03, eta: 12:57:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 1.9913, loss: 1.9913 +2025-05-02 02:19:20,919 - pyskl - INFO - Epoch [105][2300/2353] lr: 5.158e-03, eta: 12:56:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 1.9590, loss: 1.9590 +2025-05-02 02:19:44,972 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-05-02 02:21:15,103 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 02:21:15,179 - pyskl - INFO - +top1_acc 0.9363 +top5_acc 0.9947 +2025-05-02 02:21:15,235 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_97.pth was removed +2025-05-02 02:21:16,343 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. +2025-05-02 02:21:16,344 - pyskl - INFO - Best top1_acc is 0.9363 at 105 epoch. +2025-05-02 02:21:16,347 - pyskl - INFO - Epoch(val) [105][1184] top1_acc: 0.9363, top5_acc: 0.9947 +2025-05-02 02:22:22,119 - pyskl - INFO - Epoch [106][100/2353] lr: 5.144e-03, eta: 12:55:39, time: 0.658, data_time: 0.217, memory: 13127, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.7998, loss: 1.7998 +2025-05-02 02:23:06,174 - pyskl - INFO - Epoch [106][200/2353] lr: 5.135e-03, eta: 12:54:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.8585, loss: 1.8585 +2025-05-02 02:23:50,292 - pyskl - INFO - Epoch [106][300/2353] lr: 5.126e-03, eta: 12:54:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.7959, loss: 1.7959 +2025-05-02 02:24:34,463 - pyskl - INFO - Epoch [106][400/2353] lr: 5.117e-03, eta: 12:53:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.7260, loss: 1.7260 +2025-05-02 02:25:18,658 - pyskl - INFO - Epoch [106][500/2353] lr: 5.108e-03, eta: 12:52:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.7660, loss: 1.7660 +2025-05-02 02:26:02,826 - pyskl - INFO - Epoch [106][600/2353] lr: 5.099e-03, eta: 12:52:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.8077, loss: 1.8077 +2025-05-02 02:26:46,918 - pyskl - INFO - Epoch [106][700/2353] lr: 5.090e-03, eta: 12:51:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.8193, loss: 1.8193 +2025-05-02 02:27:30,920 - pyskl - INFO - Epoch [106][800/2353] lr: 5.081e-03, eta: 12:50:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 1.8530, loss: 1.8530 +2025-05-02 02:28:14,971 - pyskl - INFO - Epoch [106][900/2353] lr: 5.072e-03, eta: 12:49:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 1.8536, loss: 1.8536 +2025-05-02 02:28:59,128 - pyskl - INFO - Epoch [106][1000/2353] lr: 5.063e-03, eta: 12:49:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.7164, loss: 1.7164 +2025-05-02 02:29:43,322 - pyskl - INFO - Epoch [106][1100/2353] lr: 5.054e-03, eta: 12:48:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 1.8354, loss: 1.8354 +2025-05-02 02:30:27,435 - pyskl - INFO - Epoch [106][1200/2353] lr: 5.045e-03, eta: 12:47:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 1.8092, loss: 1.8092 +2025-05-02 02:31:11,590 - pyskl - INFO - Epoch [106][1300/2353] lr: 5.036e-03, eta: 12:46:52, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 1.8419, loss: 1.8419 +2025-05-02 02:31:55,874 - pyskl - INFO - Epoch [106][1400/2353] lr: 5.027e-03, eta: 12:46:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 1.8933, loss: 1.8933 +2025-05-02 02:32:39,994 - pyskl - INFO - Epoch [106][1500/2353] lr: 5.018e-03, eta: 12:45:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 1.9195, loss: 1.9195 +2025-05-02 02:33:24,090 - pyskl - INFO - Epoch [106][1600/2353] lr: 5.010e-03, eta: 12:44:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 1.8377, loss: 1.8377 +2025-05-02 02:34:08,336 - pyskl - INFO - Epoch [106][1700/2353] lr: 5.001e-03, eta: 12:43:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 1.8351, loss: 1.8351 +2025-05-02 02:34:52,582 - pyskl - INFO - Epoch [106][1800/2353] lr: 4.992e-03, eta: 12:43:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 1.9348, loss: 1.9348 +2025-05-02 02:35:37,031 - pyskl - INFO - Epoch [106][1900/2353] lr: 4.983e-03, eta: 12:42:29, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 1.9263, loss: 1.9263 +2025-05-02 02:36:21,161 - pyskl - INFO - Epoch [106][2000/2353] lr: 4.974e-03, eta: 12:41:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 1.8688, loss: 1.8688 +2025-05-02 02:37:05,238 - pyskl - INFO - Epoch [106][2100/2353] lr: 4.965e-03, eta: 12:41:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.9079, loss: 1.9079 +2025-05-02 02:37:49,337 - pyskl - INFO - Epoch [106][2200/2353] lr: 4.956e-03, eta: 12:40:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 1.8265, loss: 1.8265 +2025-05-02 02:38:33,471 - pyskl - INFO - Epoch [106][2300/2353] lr: 4.947e-03, eta: 12:39:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 1.8742, loss: 1.8742 +2025-05-02 02:38:57,485 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-05-02 02:40:27,313 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 02:40:27,389 - pyskl - INFO - +top1_acc 0.9375 +top5_acc 0.9941 +2025-05-02 02:40:27,449 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_105.pth was removed +2025-05-02 02:40:28,570 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_106.pth. +2025-05-02 02:40:28,571 - pyskl - INFO - Best top1_acc is 0.9375 at 106 epoch. +2025-05-02 02:40:28,574 - pyskl - INFO - Epoch(val) [106][1184] top1_acc: 0.9375, top5_acc: 0.9941 +2025-05-02 02:41:33,503 - pyskl - INFO - Epoch [107][100/2353] lr: 4.934e-03, eta: 12:38:24, time: 0.649, data_time: 0.210, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.8465, loss: 1.8465 +2025-05-02 02:42:17,446 - pyskl - INFO - Epoch [107][200/2353] lr: 4.925e-03, eta: 12:37:40, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.7510, loss: 1.7510 +2025-05-02 02:43:01,540 - pyskl - INFO - Epoch [107][300/2353] lr: 4.916e-03, eta: 12:36:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.7632, loss: 1.7632 +2025-05-02 02:43:45,583 - pyskl - INFO - Epoch [107][400/2353] lr: 4.907e-03, eta: 12:36:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.7387, loss: 1.7387 +2025-05-02 02:44:29,685 - pyskl - INFO - Epoch [107][500/2353] lr: 4.898e-03, eta: 12:35:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.7606, loss: 1.7606 +2025-05-02 02:45:13,737 - pyskl - INFO - Epoch [107][600/2353] lr: 4.890e-03, eta: 12:34:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 1.7743, loss: 1.7743 +2025-05-02 02:45:57,721 - pyskl - INFO - Epoch [107][700/2353] lr: 4.881e-03, eta: 12:34:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.7554, loss: 1.7554 +2025-05-02 02:46:41,763 - pyskl - INFO - Epoch [107][800/2353] lr: 4.872e-03, eta: 12:33:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.8639, loss: 1.8639 +2025-05-02 02:47:25,783 - pyskl - INFO - Epoch [107][900/2353] lr: 4.863e-03, eta: 12:32:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 1.8394, loss: 1.8394 +2025-05-02 02:48:09,583 - pyskl - INFO - Epoch [107][1000/2353] lr: 4.854e-03, eta: 12:31:49, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.8404, loss: 1.8404 +2025-05-02 02:48:53,585 - pyskl - INFO - Epoch [107][1100/2353] lr: 4.845e-03, eta: 12:31:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 1.8188, loss: 1.8188 +2025-05-02 02:49:37,488 - pyskl - INFO - Epoch [107][1200/2353] lr: 4.837e-03, eta: 12:30:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.8904, loss: 1.8904 +2025-05-02 02:50:21,448 - pyskl - INFO - Epoch [107][1300/2353] lr: 4.828e-03, eta: 12:29:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.8307, loss: 1.8307 +2025-05-02 02:51:05,487 - pyskl - INFO - Epoch [107][1400/2353] lr: 4.819e-03, eta: 12:28:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 1.7930, loss: 1.7930 +2025-05-02 02:51:49,446 - pyskl - INFO - Epoch [107][1500/2353] lr: 4.810e-03, eta: 12:28:09, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.8264, loss: 1.8264 +2025-05-02 02:52:33,556 - pyskl - INFO - Epoch [107][1600/2353] lr: 4.802e-03, eta: 12:27:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 1.8932, loss: 1.8932 +2025-05-02 02:53:17,626 - pyskl - INFO - Epoch [107][1700/2353] lr: 4.793e-03, eta: 12:26:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 1.8243, loss: 1.8243 +2025-05-02 02:54:01,762 - pyskl - INFO - Epoch [107][1800/2353] lr: 4.784e-03, eta: 12:25:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 1.7891, loss: 1.7891 +2025-05-02 02:54:45,838 - pyskl - INFO - Epoch [107][1900/2353] lr: 4.775e-03, eta: 12:25:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 1.9168, loss: 1.9168 +2025-05-02 02:55:29,899 - pyskl - INFO - Epoch [107][2000/2353] lr: 4.767e-03, eta: 12:24:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 1.8299, loss: 1.8299 +2025-05-02 02:56:14,010 - pyskl - INFO - Epoch [107][2100/2353] lr: 4.758e-03, eta: 12:23:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 1.8367, loss: 1.8367 +2025-05-02 02:56:58,057 - pyskl - INFO - Epoch [107][2200/2353] lr: 4.749e-03, eta: 12:23:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 1.9267, loss: 1.9267 +2025-05-02 02:57:42,079 - pyskl - INFO - Epoch [107][2300/2353] lr: 4.740e-03, eta: 12:22:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 1.8631, loss: 1.8631 +2025-05-02 02:58:06,084 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-05-02 02:59:35,791 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 02:59:35,867 - pyskl - INFO - +top1_acc 0.9180 +top5_acc 0.9931 +2025-05-02 02:59:35,871 - pyskl - INFO - Epoch(val) [107][1184] top1_acc: 0.9180, top5_acc: 0.9931 +2025-05-02 03:00:40,814 - pyskl - INFO - Epoch [108][100/2353] lr: 4.727e-03, eta: 12:21:09, time: 0.649, data_time: 0.210, memory: 13127, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.7408, loss: 1.7408 +2025-05-02 03:01:24,932 - pyskl - INFO - Epoch [108][200/2353] lr: 4.718e-03, eta: 12:20:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.7732, loss: 1.7732 +2025-05-02 03:02:09,042 - pyskl - INFO - Epoch [108][300/2353] lr: 4.710e-03, eta: 12:19:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.6838, loss: 1.6838 +2025-05-02 03:02:53,087 - pyskl - INFO - Epoch [108][400/2353] lr: 4.701e-03, eta: 12:18:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.8137, loss: 1.8137 +2025-05-02 03:03:37,119 - pyskl - INFO - Epoch [108][500/2353] lr: 4.692e-03, eta: 12:18:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.7349, loss: 1.7349 +2025-05-02 03:04:21,086 - pyskl - INFO - Epoch [108][600/2353] lr: 4.684e-03, eta: 12:17:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.7372, loss: 1.7372 +2025-05-02 03:05:05,046 - pyskl - INFO - Epoch [108][700/2353] lr: 4.675e-03, eta: 12:16:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 1.8018, loss: 1.8018 +2025-05-02 03:05:49,049 - pyskl - INFO - Epoch [108][800/2353] lr: 4.666e-03, eta: 12:16:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 1.8195, loss: 1.8195 +2025-05-02 03:06:33,126 - pyskl - INFO - Epoch [108][900/2353] lr: 4.658e-03, eta: 12:15:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 1.7241, loss: 1.7241 +2025-05-02 03:07:17,430 - pyskl - INFO - Epoch [108][1000/2353] lr: 4.649e-03, eta: 12:14:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 1.7552, loss: 1.7552 +2025-05-02 03:08:01,595 - pyskl - INFO - Epoch [108][1100/2353] lr: 4.640e-03, eta: 12:13:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.8439, loss: 1.8439 +2025-05-02 03:08:45,671 - pyskl - INFO - Epoch [108][1200/2353] lr: 4.632e-03, eta: 12:13:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.7613, loss: 1.7613 +2025-05-02 03:09:29,847 - pyskl - INFO - Epoch [108][1300/2353] lr: 4.623e-03, eta: 12:12:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 1.7757, loss: 1.7757 +2025-05-02 03:10:14,025 - pyskl - INFO - Epoch [108][1400/2353] lr: 4.614e-03, eta: 12:11:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.8326, loss: 1.8326 +2025-05-02 03:10:58,206 - pyskl - INFO - Epoch [108][1500/2353] lr: 4.606e-03, eta: 12:10:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.8759, loss: 1.8759 +2025-05-02 03:11:42,403 - pyskl - INFO - Epoch [108][1600/2353] lr: 4.597e-03, eta: 12:10:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 1.8124, loss: 1.8124 +2025-05-02 03:12:26,439 - pyskl - INFO - Epoch [108][1700/2353] lr: 4.588e-03, eta: 12:09:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 1.7670, loss: 1.7670 +2025-05-02 03:13:10,406 - pyskl - INFO - Epoch [108][1800/2353] lr: 4.580e-03, eta: 12:08:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 1.8307, loss: 1.8307 +2025-05-02 03:13:54,419 - pyskl - INFO - Epoch [108][1900/2353] lr: 4.571e-03, eta: 12:07:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.8437, loss: 1.8437 +2025-05-02 03:14:38,500 - pyskl - INFO - Epoch [108][2000/2353] lr: 4.563e-03, eta: 12:07:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.8081, loss: 1.8081 +2025-05-02 03:15:22,427 - pyskl - INFO - Epoch [108][2100/2353] lr: 4.554e-03, eta: 12:06:29, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.8696, loss: 1.8696 +2025-05-02 03:16:06,392 - pyskl - INFO - Epoch [108][2200/2353] lr: 4.545e-03, eta: 12:05:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 1.8341, loss: 1.8341 +2025-05-02 03:16:50,468 - pyskl - INFO - Epoch [108][2300/2353] lr: 4.537e-03, eta: 12:05:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 1.8543, loss: 1.8543 +2025-05-02 03:17:14,444 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-05-02 03:18:44,195 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 03:18:44,271 - pyskl - INFO - +top1_acc 0.9264 +top5_acc 0.9929 +2025-05-02 03:18:44,274 - pyskl - INFO - Epoch(val) [108][1184] top1_acc: 0.9264, top5_acc: 0.9929 +2025-05-02 03:19:48,946 - pyskl - INFO - Epoch [109][100/2353] lr: 4.524e-03, eta: 12:03:53, time: 0.647, data_time: 0.208, memory: 13127, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.7215, loss: 1.7215 +2025-05-02 03:20:33,089 - pyskl - INFO - Epoch [109][200/2353] lr: 4.515e-03, eta: 12:03:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.7114, loss: 1.7114 +2025-05-02 03:21:17,198 - pyskl - INFO - Epoch [109][300/2353] lr: 4.507e-03, eta: 12:02:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.6841, loss: 1.6841 +2025-05-02 03:22:01,503 - pyskl - INFO - Epoch [109][400/2353] lr: 4.498e-03, eta: 12:01:41, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 1.7814, loss: 1.7814 +2025-05-02 03:22:45,315 - pyskl - INFO - Epoch [109][500/2353] lr: 4.490e-03, eta: 12:00:57, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 1.7493, loss: 1.7493 +2025-05-02 03:23:29,454 - pyskl - INFO - Epoch [109][600/2353] lr: 4.481e-03, eta: 12:00:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 1.7760, loss: 1.7760 +2025-05-02 03:24:13,588 - pyskl - INFO - Epoch [109][700/2353] lr: 4.472e-03, eta: 11:59:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.6395, loss: 1.6395 +2025-05-02 03:24:57,558 - pyskl - INFO - Epoch [109][800/2353] lr: 4.464e-03, eta: 11:58:45, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 1.7552, loss: 1.7552 +2025-05-02 03:25:41,619 - pyskl - INFO - Epoch [109][900/2353] lr: 4.455e-03, eta: 11:58:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.7358, loss: 1.7358 +2025-05-02 03:26:25,726 - pyskl - INFO - Epoch [109][1000/2353] lr: 4.447e-03, eta: 11:57:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.7272, loss: 1.7272 +2025-05-02 03:27:09,580 - pyskl - INFO - Epoch [109][1100/2353] lr: 4.438e-03, eta: 11:56:33, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.7517, loss: 1.7517 +2025-05-02 03:27:53,615 - pyskl - INFO - Epoch [109][1200/2353] lr: 4.430e-03, eta: 11:55:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.7885, loss: 1.7885 +2025-05-02 03:28:37,847 - pyskl - INFO - Epoch [109][1300/2353] lr: 4.421e-03, eta: 11:55:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 1.7509, loss: 1.7509 +2025-05-02 03:29:22,042 - pyskl - INFO - Epoch [109][1400/2353] lr: 4.413e-03, eta: 11:54:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.7411, loss: 1.7411 +2025-05-02 03:30:06,044 - pyskl - INFO - Epoch [109][1500/2353] lr: 4.404e-03, eta: 11:53:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.7266, loss: 1.7266 +2025-05-02 03:30:50,159 - pyskl - INFO - Epoch [109][1600/2353] lr: 4.396e-03, eta: 11:52:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.7401, loss: 1.7401 +2025-05-02 03:31:34,224 - pyskl - INFO - Epoch [109][1700/2353] lr: 4.387e-03, eta: 11:52:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 1.7520, loss: 1.7520 +2025-05-02 03:32:18,133 - pyskl - INFO - Epoch [109][1800/2353] lr: 4.379e-03, eta: 11:51:26, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 1.7704, loss: 1.7704 +2025-05-02 03:33:02,252 - pyskl - INFO - Epoch [109][1900/2353] lr: 4.371e-03, eta: 11:50:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.7495, loss: 1.7495 +2025-05-02 03:33:46,442 - pyskl - INFO - Epoch [109][2000/2353] lr: 4.362e-03, eta: 11:49:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 1.7641, loss: 1.7641 +2025-05-02 03:34:30,527 - pyskl - INFO - Epoch [109][2100/2353] lr: 4.354e-03, eta: 11:49:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.7981, loss: 1.7981 +2025-05-02 03:35:14,552 - pyskl - INFO - Epoch [109][2200/2353] lr: 4.345e-03, eta: 11:48:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.8062, loss: 1.8062 +2025-05-02 03:35:58,429 - pyskl - INFO - Epoch [109][2300/2353] lr: 4.337e-03, eta: 11:47:46, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 1.8320, loss: 1.8320 +2025-05-02 03:36:22,466 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-05-02 03:37:52,525 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 03:37:52,601 - pyskl - INFO - +top1_acc 0.9332 +top5_acc 0.9941 +2025-05-02 03:37:52,604 - pyskl - INFO - Epoch(val) [109][1184] top1_acc: 0.9332, top5_acc: 0.9941 +2025-05-02 03:38:57,653 - pyskl - INFO - Epoch [110][100/2353] lr: 4.324e-03, eta: 11:46:38, time: 0.650, data_time: 0.211, memory: 13127, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.7162, loss: 1.7162 +2025-05-02 03:39:41,639 - pyskl - INFO - Epoch [110][200/2353] lr: 4.315e-03, eta: 11:45:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.8475, loss: 1.8475 +2025-05-02 03:40:25,676 - pyskl - INFO - Epoch [110][300/2353] lr: 4.307e-03, eta: 11:45:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.6740, loss: 1.6740 +2025-05-02 03:41:09,707 - pyskl - INFO - Epoch [110][400/2353] lr: 4.299e-03, eta: 11:44:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.6531, loss: 1.6531 +2025-05-02 03:41:53,817 - pyskl - INFO - Epoch [110][500/2353] lr: 4.290e-03, eta: 11:43:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.7670, loss: 1.7670 +2025-05-02 03:42:37,900 - pyskl - INFO - Epoch [110][600/2353] lr: 4.282e-03, eta: 11:42:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.6632, loss: 1.6632 +2025-05-02 03:43:21,983 - pyskl - INFO - Epoch [110][700/2353] lr: 4.274e-03, eta: 11:42:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.7924, loss: 1.7924 +2025-05-02 03:44:05,993 - pyskl - INFO - Epoch [110][800/2353] lr: 4.265e-03, eta: 11:41:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 1.7396, loss: 1.7396 +2025-05-02 03:44:50,054 - pyskl - INFO - Epoch [110][900/2353] lr: 4.257e-03, eta: 11:40:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.6892, loss: 1.6892 +2025-05-02 03:45:34,047 - pyskl - INFO - Epoch [110][1000/2353] lr: 4.248e-03, eta: 11:40:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 1.7694, loss: 1.7694 +2025-05-02 03:46:18,082 - pyskl - INFO - Epoch [110][1100/2353] lr: 4.240e-03, eta: 11:39:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 1.7776, loss: 1.7776 +2025-05-02 03:47:02,117 - pyskl - INFO - Epoch [110][1200/2353] lr: 4.232e-03, eta: 11:38:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.7145, loss: 1.7145 +2025-05-02 03:47:46,162 - pyskl - INFO - Epoch [110][1300/2353] lr: 4.223e-03, eta: 11:37:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 1.7975, loss: 1.7975 +2025-05-02 03:48:30,310 - pyskl - INFO - Epoch [110][1400/2353] lr: 4.215e-03, eta: 11:37:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.8209, loss: 1.8209 +2025-05-02 03:49:14,399 - pyskl - INFO - Epoch [110][1500/2353] lr: 4.207e-03, eta: 11:36:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.8499, loss: 1.8499 +2025-05-02 03:49:58,451 - pyskl - INFO - Epoch [110][1600/2353] lr: 4.198e-03, eta: 11:35:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 1.8066, loss: 1.8066 +2025-05-02 03:50:42,521 - pyskl - INFO - Epoch [110][1700/2353] lr: 4.190e-03, eta: 11:34:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 1.7779, loss: 1.7779 +2025-05-02 03:51:26,678 - pyskl - INFO - Epoch [110][1800/2353] lr: 4.182e-03, eta: 11:34:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.7432, loss: 1.7432 +2025-05-02 03:52:10,765 - pyskl - INFO - Epoch [110][1900/2353] lr: 4.173e-03, eta: 11:33:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.7904, loss: 1.7904 +2025-05-02 03:52:54,873 - pyskl - INFO - Epoch [110][2000/2353] lr: 4.165e-03, eta: 11:32:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.7426, loss: 1.7426 +2025-05-02 03:53:39,004 - pyskl - INFO - Epoch [110][2100/2353] lr: 4.157e-03, eta: 11:31:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 1.7992, loss: 1.7992 +2025-05-02 03:54:23,033 - pyskl - INFO - Epoch [110][2200/2353] lr: 4.149e-03, eta: 11:31:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 1.7869, loss: 1.7869 +2025-05-02 03:55:07,074 - pyskl - INFO - Epoch [110][2300/2353] lr: 4.140e-03, eta: 11:30:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 1.7405, loss: 1.7405 +2025-05-02 03:55:31,166 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-05-02 03:57:01,298 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 03:57:01,375 - pyskl - INFO - +top1_acc 0.9264 +top5_acc 0.9943 +2025-05-02 03:57:01,379 - pyskl - INFO - Epoch(val) [110][1184] top1_acc: 0.9264, top5_acc: 0.9943 +2025-05-02 03:58:06,471 - pyskl - INFO - Epoch [111][100/2353] lr: 4.128e-03, eta: 11:29:22, time: 0.651, data_time: 0.212, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 1.6881, loss: 1.6881 +2025-05-02 03:58:50,506 - pyskl - INFO - Epoch [111][200/2353] lr: 4.119e-03, eta: 11:28:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.6724, loss: 1.6724 +2025-05-02 03:59:34,267 - pyskl - INFO - Epoch [111][300/2353] lr: 4.111e-03, eta: 11:27:54, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.6655, loss: 1.6655 +2025-05-02 04:00:18,257 - pyskl - INFO - Epoch [111][400/2353] lr: 4.103e-03, eta: 11:27:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.7181, loss: 1.7181 +2025-05-02 04:01:02,243 - pyskl - INFO - Epoch [111][500/2353] lr: 4.095e-03, eta: 11:26:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.7475, loss: 1.7475 +2025-05-02 04:01:46,154 - pyskl - INFO - Epoch [111][600/2353] lr: 4.086e-03, eta: 11:25:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 1.7279, loss: 1.7279 +2025-05-02 04:02:30,158 - pyskl - INFO - Epoch [111][700/2353] lr: 4.078e-03, eta: 11:24:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.7271, loss: 1.7271 +2025-05-02 04:03:14,246 - pyskl - INFO - Epoch [111][800/2353] lr: 4.070e-03, eta: 11:24:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.6607, loss: 1.6607 +2025-05-02 04:03:58,194 - pyskl - INFO - Epoch [111][900/2353] lr: 4.062e-03, eta: 11:23:30, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.7605, loss: 1.7605 +2025-05-02 04:04:42,131 - pyskl - INFO - Epoch [111][1000/2353] lr: 4.054e-03, eta: 11:22:46, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.6319, loss: 1.6319 +2025-05-02 04:05:26,046 - pyskl - INFO - Epoch [111][1100/2353] lr: 4.045e-03, eta: 11:22:02, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 1.7425, loss: 1.7425 +2025-05-02 04:06:09,987 - pyskl - INFO - Epoch [111][1200/2353] lr: 4.037e-03, eta: 11:21:18, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.7388, loss: 1.7388 +2025-05-02 04:06:53,960 - pyskl - INFO - Epoch [111][1300/2353] lr: 4.029e-03, eta: 11:20:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.6929, loss: 1.6929 +2025-05-02 04:07:37,908 - pyskl - INFO - Epoch [111][1400/2353] lr: 4.021e-03, eta: 11:19:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.7259, loss: 1.7259 +2025-05-02 04:08:21,973 - pyskl - INFO - Epoch [111][1500/2353] lr: 4.013e-03, eta: 11:19:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.6931, loss: 1.6931 +2025-05-02 04:09:05,915 - pyskl - INFO - Epoch [111][1600/2353] lr: 4.005e-03, eta: 11:18:22, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 1.7243, loss: 1.7243 +2025-05-02 04:09:49,854 - pyskl - INFO - Epoch [111][1700/2353] lr: 3.996e-03, eta: 11:17:38, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.7650, loss: 1.7650 +2025-05-02 04:10:33,830 - pyskl - INFO - Epoch [111][1800/2353] lr: 3.988e-03, eta: 11:16:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.7076, loss: 1.7076 +2025-05-02 04:11:17,858 - pyskl - INFO - Epoch [111][1900/2353] lr: 3.980e-03, eta: 11:16:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 1.6889, loss: 1.6889 +2025-05-02 04:12:01,826 - pyskl - INFO - Epoch [111][2000/2353] lr: 3.972e-03, eta: 11:15:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 1.6802, loss: 1.6802 +2025-05-02 04:12:45,838 - pyskl - INFO - Epoch [111][2100/2353] lr: 3.964e-03, eta: 11:14:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 1.7317, loss: 1.7317 +2025-05-02 04:13:29,749 - pyskl - INFO - Epoch [111][2200/2353] lr: 3.956e-03, eta: 11:13:58, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 1.7722, loss: 1.7722 +2025-05-02 04:14:13,544 - pyskl - INFO - Epoch [111][2300/2353] lr: 3.948e-03, eta: 11:13:14, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.7103, loss: 1.7103 +2025-05-02 04:14:37,509 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-05-02 04:16:07,084 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 04:16:07,161 - pyskl - INFO - +top1_acc 0.9259 +top5_acc 0.9939 +2025-05-02 04:16:07,165 - pyskl - INFO - Epoch(val) [111][1184] top1_acc: 0.9259, top5_acc: 0.9939 +2025-05-02 04:17:12,392 - pyskl - INFO - Epoch [112][100/2353] lr: 3.935e-03, eta: 11:12:06, time: 0.652, data_time: 0.212, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.6893, loss: 1.6893 +2025-05-02 04:17:56,343 - pyskl - INFO - Epoch [112][200/2353] lr: 3.927e-03, eta: 11:11:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.5910, loss: 1.5910 +2025-05-02 04:18:40,332 - pyskl - INFO - Epoch [112][300/2353] lr: 3.919e-03, eta: 11:10:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.7017, loss: 1.7017 +2025-05-02 04:19:24,406 - pyskl - INFO - Epoch [112][400/2353] lr: 3.911e-03, eta: 11:09:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.7056, loss: 1.7056 +2025-05-02 04:20:08,507 - pyskl - INFO - Epoch [112][500/2353] lr: 3.903e-03, eta: 11:09:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 1.6414, loss: 1.6414 +2025-05-02 04:20:52,508 - pyskl - INFO - Epoch [112][600/2353] lr: 3.895e-03, eta: 11:08:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.6650, loss: 1.6650 +2025-05-02 04:21:36,451 - pyskl - INFO - Epoch [112][700/2353] lr: 3.887e-03, eta: 11:07:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.7119, loss: 1.7119 +2025-05-02 04:22:20,452 - pyskl - INFO - Epoch [112][800/2353] lr: 3.879e-03, eta: 11:06:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.7160, loss: 1.7160 +2025-05-02 04:23:04,389 - pyskl - INFO - Epoch [112][900/2353] lr: 3.871e-03, eta: 11:06:14, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.5708, loss: 1.5708 +2025-05-02 04:23:48,356 - pyskl - INFO - Epoch [112][1000/2353] lr: 3.862e-03, eta: 11:05:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 1.7112, loss: 1.7112 +2025-05-02 04:24:32,624 - pyskl - INFO - Epoch [112][1100/2353] lr: 3.854e-03, eta: 11:04:46, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.6934, loss: 1.6934 +2025-05-02 04:25:16,707 - pyskl - INFO - Epoch [112][1200/2353] lr: 3.846e-03, eta: 11:04:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.7136, loss: 1.7136 +2025-05-02 04:26:00,892 - pyskl - INFO - Epoch [112][1300/2353] lr: 3.838e-03, eta: 11:03:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.7025, loss: 1.7025 +2025-05-02 04:26:44,970 - pyskl - INFO - Epoch [112][1400/2353] lr: 3.830e-03, eta: 11:02:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 1.6586, loss: 1.6586 +2025-05-02 04:27:29,002 - pyskl - INFO - Epoch [112][1500/2353] lr: 3.822e-03, eta: 11:01:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.7297, loss: 1.7297 +2025-05-02 04:28:13,044 - pyskl - INFO - Epoch [112][1600/2353] lr: 3.814e-03, eta: 11:01:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.6779, loss: 1.6779 +2025-05-02 04:28:57,066 - pyskl - INFO - Epoch [112][1700/2353] lr: 3.806e-03, eta: 11:00:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 1.8120, loss: 1.8120 +2025-05-02 04:29:41,091 - pyskl - INFO - Epoch [112][1800/2353] lr: 3.798e-03, eta: 10:59:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.7341, loss: 1.7341 +2025-05-02 04:30:25,087 - pyskl - INFO - Epoch [112][1900/2353] lr: 3.790e-03, eta: 10:58:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.6910, loss: 1.6910 +2025-05-02 04:31:09,110 - pyskl - INFO - Epoch [112][2000/2353] lr: 3.782e-03, eta: 10:58:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 1.7373, loss: 1.7373 +2025-05-02 04:31:53,078 - pyskl - INFO - Epoch [112][2100/2353] lr: 3.774e-03, eta: 10:57:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 1.7221, loss: 1.7221 +2025-05-02 04:32:37,002 - pyskl - INFO - Epoch [112][2200/2353] lr: 3.766e-03, eta: 10:56:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.7006, loss: 1.7006 +2025-05-02 04:33:20,979 - pyskl - INFO - Epoch [112][2300/2353] lr: 3.759e-03, eta: 10:55:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.6785, loss: 1.6785 +2025-05-02 04:33:44,969 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-05-02 04:35:15,008 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 04:35:15,083 - pyskl - INFO - +top1_acc 0.9354 +top5_acc 0.9931 +2025-05-02 04:35:15,087 - pyskl - INFO - Epoch(val) [112][1184] top1_acc: 0.9354, top5_acc: 0.9931 +2025-05-02 04:36:20,241 - pyskl - INFO - Epoch [113][100/2353] lr: 3.746e-03, eta: 10:54:50, time: 0.651, data_time: 0.211, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 1.6460, loss: 1.6460 +2025-05-02 04:37:04,209 - pyskl - INFO - Epoch [113][200/2353] lr: 3.738e-03, eta: 10:54:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.6806, loss: 1.6806 +2025-05-02 04:37:48,263 - pyskl - INFO - Epoch [113][300/2353] lr: 3.730e-03, eta: 10:53:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.6083, loss: 1.6083 +2025-05-02 04:38:32,286 - pyskl - INFO - Epoch [113][400/2353] lr: 3.723e-03, eta: 10:52:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.6468, loss: 1.6468 +2025-05-02 04:39:16,299 - pyskl - INFO - Epoch [113][500/2353] lr: 3.715e-03, eta: 10:51:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.6366, loss: 1.6366 +2025-05-02 04:40:00,318 - pyskl - INFO - Epoch [113][600/2353] lr: 3.707e-03, eta: 10:51:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.6422, loss: 1.6422 +2025-05-02 04:40:44,323 - pyskl - INFO - Epoch [113][700/2353] lr: 3.699e-03, eta: 10:50:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.5897, loss: 1.5897 +2025-05-02 04:41:28,387 - pyskl - INFO - Epoch [113][800/2353] lr: 3.691e-03, eta: 10:49:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.5984, loss: 1.5984 +2025-05-02 04:42:12,396 - pyskl - INFO - Epoch [113][900/2353] lr: 3.683e-03, eta: 10:48:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 1.6657, loss: 1.6657 +2025-05-02 04:42:56,448 - pyskl - INFO - Epoch [113][1000/2353] lr: 3.675e-03, eta: 10:48:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.6989, loss: 1.6989 +2025-05-02 04:43:40,573 - pyskl - INFO - Epoch [113][1100/2353] lr: 3.667e-03, eta: 10:47:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.7429, loss: 1.7429 +2025-05-02 04:44:24,807 - pyskl - INFO - Epoch [113][1200/2353] lr: 3.659e-03, eta: 10:46:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.6764, loss: 1.6764 +2025-05-02 04:45:08,968 - pyskl - INFO - Epoch [113][1300/2353] lr: 3.652e-03, eta: 10:46:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.6282, loss: 1.6282 +2025-05-02 04:45:53,251 - pyskl - INFO - Epoch [113][1400/2353] lr: 3.644e-03, eta: 10:45:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 1.6293, loss: 1.6293 +2025-05-02 04:46:37,431 - pyskl - INFO - Epoch [113][1500/2353] lr: 3.636e-03, eta: 10:44:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.6832, loss: 1.6832 +2025-05-02 04:47:21,534 - pyskl - INFO - Epoch [113][1600/2353] lr: 3.628e-03, eta: 10:43:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.6101, loss: 1.6101 +2025-05-02 04:48:05,664 - pyskl - INFO - Epoch [113][1700/2353] lr: 3.620e-03, eta: 10:43:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.6514, loss: 1.6514 +2025-05-02 04:48:49,769 - pyskl - INFO - Epoch [113][1800/2353] lr: 3.612e-03, eta: 10:42:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.6685, loss: 1.6685 +2025-05-02 04:49:33,911 - pyskl - INFO - Epoch [113][1900/2353] lr: 3.605e-03, eta: 10:41:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 1.6858, loss: 1.6858 +2025-05-02 04:50:18,078 - pyskl - INFO - Epoch [113][2000/2353] lr: 3.597e-03, eta: 10:40:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.6900, loss: 1.6900 +2025-05-02 04:51:02,127 - pyskl - INFO - Epoch [113][2100/2353] lr: 3.589e-03, eta: 10:40:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.6679, loss: 1.6679 +2025-05-02 04:51:46,199 - pyskl - INFO - Epoch [113][2200/2353] lr: 3.581e-03, eta: 10:39:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 1.6929, loss: 1.6929 +2025-05-02 04:52:30,347 - pyskl - INFO - Epoch [113][2300/2353] lr: 3.573e-03, eta: 10:38:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.6799, loss: 1.6799 +2025-05-02 04:52:54,373 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-05-02 04:54:24,152 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 04:54:24,228 - pyskl - INFO - +top1_acc 0.9299 +top5_acc 0.9952 +2025-05-02 04:54:24,231 - pyskl - INFO - Epoch(val) [113][1184] top1_acc: 0.9299, top5_acc: 0.9952 +2025-05-02 04:55:29,618 - pyskl - INFO - Epoch [114][100/2353] lr: 3.561e-03, eta: 10:37:35, time: 0.654, data_time: 0.210, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.5799, loss: 1.5799 +2025-05-02 04:56:13,863 - pyskl - INFO - Epoch [114][200/2353] lr: 3.554e-03, eta: 10:36:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.5815, loss: 1.5815 +2025-05-02 04:56:57,926 - pyskl - INFO - Epoch [114][300/2353] lr: 3.546e-03, eta: 10:36:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.5663, loss: 1.5663 +2025-05-02 04:57:42,002 - pyskl - INFO - Epoch [114][400/2353] lr: 3.538e-03, eta: 10:35:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 1.5586, loss: 1.5586 +2025-05-02 04:58:26,116 - pyskl - INFO - Epoch [114][500/2353] lr: 3.530e-03, eta: 10:34:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.5923, loss: 1.5923 +2025-05-02 04:59:10,110 - pyskl - INFO - Epoch [114][600/2353] lr: 3.523e-03, eta: 10:33:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.5477, loss: 1.5477 +2025-05-02 04:59:54,200 - pyskl - INFO - Epoch [114][700/2353] lr: 3.515e-03, eta: 10:33:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.6277, loss: 1.6277 +2025-05-02 05:00:38,280 - pyskl - INFO - Epoch [114][800/2353] lr: 3.507e-03, eta: 10:32:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.6870, loss: 1.6870 +2025-05-02 05:01:22,336 - pyskl - INFO - Epoch [114][900/2353] lr: 3.499e-03, eta: 10:31:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.6812, loss: 1.6812 +2025-05-02 05:02:06,420 - pyskl - INFO - Epoch [114][1000/2353] lr: 3.492e-03, eta: 10:31:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.5992, loss: 1.5992 +2025-05-02 05:02:50,411 - pyskl - INFO - Epoch [114][1100/2353] lr: 3.484e-03, eta: 10:30:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 1.6563, loss: 1.6563 +2025-05-02 05:03:34,447 - pyskl - INFO - Epoch [114][1200/2353] lr: 3.476e-03, eta: 10:29:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.6806, loss: 1.6806 +2025-05-02 05:04:18,491 - pyskl - INFO - Epoch [114][1300/2353] lr: 3.469e-03, eta: 10:28:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.6689, loss: 1.6689 +2025-05-02 05:05:02,551 - pyskl - INFO - Epoch [114][1400/2353] lr: 3.461e-03, eta: 10:28:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 1.7244, loss: 1.7244 +2025-05-02 05:05:46,627 - pyskl - INFO - Epoch [114][1500/2353] lr: 3.453e-03, eta: 10:27:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.6014, loss: 1.6014 +2025-05-02 05:06:30,897 - pyskl - INFO - Epoch [114][1600/2353] lr: 3.446e-03, eta: 10:26:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.6275, loss: 1.6275 +2025-05-02 05:07:14,926 - pyskl - INFO - Epoch [114][1700/2353] lr: 3.438e-03, eta: 10:25:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.5679, loss: 1.5679 +2025-05-02 05:07:59,016 - pyskl - INFO - Epoch [114][1800/2353] lr: 3.430e-03, eta: 10:25:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.6266, loss: 1.6266 +2025-05-02 05:08:43,079 - pyskl - INFO - Epoch [114][1900/2353] lr: 3.423e-03, eta: 10:24:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.6508, loss: 1.6508 +2025-05-02 05:09:27,163 - pyskl - INFO - Epoch [114][2000/2353] lr: 3.415e-03, eta: 10:23:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 1.7124, loss: 1.7124 +2025-05-02 05:10:11,340 - pyskl - INFO - Epoch [114][2100/2353] lr: 3.407e-03, eta: 10:22:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.6331, loss: 1.6331 +2025-05-02 05:10:55,540 - pyskl - INFO - Epoch [114][2200/2353] lr: 3.400e-03, eta: 10:22:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.6333, loss: 1.6333 +2025-05-02 05:11:39,680 - pyskl - INFO - Epoch [114][2300/2353] lr: 3.392e-03, eta: 10:21:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.6489, loss: 1.6489 +2025-05-02 05:12:03,764 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-05-02 05:13:33,732 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 05:13:33,810 - pyskl - INFO - +top1_acc 0.9391 +top5_acc 0.9938 +2025-05-02 05:13:33,868 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_106.pth was removed +2025-05-02 05:13:35,026 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2025-05-02 05:13:35,027 - pyskl - INFO - Best top1_acc is 0.9391 at 114 epoch. +2025-05-02 05:13:35,031 - pyskl - INFO - Epoch(val) [114][1184] top1_acc: 0.9391, top5_acc: 0.9938 +2025-05-02 05:14:40,318 - pyskl - INFO - Epoch [115][100/2353] lr: 3.380e-03, eta: 10:20:20, time: 0.653, data_time: 0.210, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.5742, loss: 1.5742 +2025-05-02 05:15:24,513 - pyskl - INFO - Epoch [115][200/2353] lr: 3.373e-03, eta: 10:19:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 1.6312, loss: 1.6312 +2025-05-02 05:16:08,638 - pyskl - INFO - Epoch [115][300/2353] lr: 3.365e-03, eta: 10:18:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 1.6272, loss: 1.6272 +2025-05-02 05:16:52,731 - pyskl - INFO - Epoch [115][400/2353] lr: 3.358e-03, eta: 10:18:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.5137, loss: 1.5137 +2025-05-02 05:17:36,834 - pyskl - INFO - Epoch [115][500/2353] lr: 3.350e-03, eta: 10:17:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.5709, loss: 1.5709 +2025-05-02 05:18:20,983 - pyskl - INFO - Epoch [115][600/2353] lr: 3.342e-03, eta: 10:16:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.5623, loss: 1.5623 +2025-05-02 05:19:05,178 - pyskl - INFO - Epoch [115][700/2353] lr: 3.335e-03, eta: 10:15:57, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.6153, loss: 1.6153 +2025-05-02 05:19:49,277 - pyskl - INFO - Epoch [115][800/2353] lr: 3.327e-03, eta: 10:15:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 1.5824, loss: 1.5824 +2025-05-02 05:20:33,451 - pyskl - INFO - Epoch [115][900/2353] lr: 3.320e-03, eta: 10:14:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.6108, loss: 1.6108 +2025-05-02 05:21:17,577 - pyskl - INFO - Epoch [115][1000/2353] lr: 3.312e-03, eta: 10:13:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.6165, loss: 1.6165 +2025-05-02 05:22:01,668 - pyskl - INFO - Epoch [115][1100/2353] lr: 3.305e-03, eta: 10:13:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.6271, loss: 1.6271 +2025-05-02 05:22:46,039 - pyskl - INFO - Epoch [115][1200/2353] lr: 3.297e-03, eta: 10:12:17, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.6730, loss: 1.6730 +2025-05-02 05:23:30,318 - pyskl - INFO - Epoch [115][1300/2353] lr: 3.290e-03, eta: 10:11:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.6699, loss: 1.6699 +2025-05-02 05:24:14,568 - pyskl - INFO - Epoch [115][1400/2353] lr: 3.282e-03, eta: 10:10:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.5777, loss: 1.5777 +2025-05-02 05:24:58,718 - pyskl - INFO - Epoch [115][1500/2353] lr: 3.275e-03, eta: 10:10:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 1.6089, loss: 1.6089 +2025-05-02 05:25:42,742 - pyskl - INFO - Epoch [115][1600/2353] lr: 3.267e-03, eta: 10:09:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.6468, loss: 1.6468 +2025-05-02 05:26:26,945 - pyskl - INFO - Epoch [115][1700/2353] lr: 3.260e-03, eta: 10:08:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 1.6870, loss: 1.6870 +2025-05-02 05:27:10,991 - pyskl - INFO - Epoch [115][1800/2353] lr: 3.252e-03, eta: 10:07:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.6039, loss: 1.6039 +2025-05-02 05:27:55,158 - pyskl - INFO - Epoch [115][1900/2353] lr: 3.245e-03, eta: 10:07:09, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.6002, loss: 1.6002 +2025-05-02 05:28:39,353 - pyskl - INFO - Epoch [115][2000/2353] lr: 3.237e-03, eta: 10:06:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.5937, loss: 1.5937 +2025-05-02 05:29:23,512 - pyskl - INFO - Epoch [115][2100/2353] lr: 3.230e-03, eta: 10:05:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.5993, loss: 1.5993 +2025-05-02 05:30:07,802 - pyskl - INFO - Epoch [115][2200/2353] lr: 3.222e-03, eta: 10:04:58, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 1.6553, loss: 1.6553 +2025-05-02 05:30:51,957 - pyskl - INFO - Epoch [115][2300/2353] lr: 3.215e-03, eta: 10:04:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.6418, loss: 1.6418 +2025-05-02 05:31:15,995 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-05-02 05:32:46,294 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 05:32:46,370 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9946 +2025-05-02 05:32:46,432 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_114.pth was removed +2025-05-02 05:32:47,598 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. +2025-05-02 05:32:47,599 - pyskl - INFO - Best top1_acc is 0.9405 at 115 epoch. +2025-05-02 05:32:47,602 - pyskl - INFO - Epoch(val) [115][1184] top1_acc: 0.9405, top5_acc: 0.9946 +2025-05-02 05:33:52,469 - pyskl - INFO - Epoch [116][100/2353] lr: 3.203e-03, eta: 10:03:06, time: 0.649, data_time: 0.208, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.5606, loss: 1.5606 +2025-05-02 05:34:36,553 - pyskl - INFO - Epoch [116][200/2353] lr: 3.196e-03, eta: 10:02:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.5279, loss: 1.5279 +2025-05-02 05:35:20,542 - pyskl - INFO - Epoch [116][300/2353] lr: 3.188e-03, eta: 10:01:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.5877, loss: 1.5877 +2025-05-02 05:36:04,462 - pyskl - INFO - Epoch [116][400/2353] lr: 3.181e-03, eta: 10:00:54, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.5470, loss: 1.5470 +2025-05-02 05:36:48,362 - pyskl - INFO - Epoch [116][500/2353] lr: 3.174e-03, eta: 10:00:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.5948, loss: 1.5948 +2025-05-02 05:37:32,250 - pyskl - INFO - Epoch [116][600/2353] lr: 3.166e-03, eta: 9:59:26, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.6010, loss: 1.6010 +2025-05-02 05:38:16,190 - pyskl - INFO - Epoch [116][700/2353] lr: 3.159e-03, eta: 9:58:42, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.5650, loss: 1.5650 +2025-05-02 05:39:00,170 - pyskl - INFO - Epoch [116][800/2353] lr: 3.151e-03, eta: 9:57:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.6558, loss: 1.6558 +2025-05-02 05:39:44,152 - pyskl - INFO - Epoch [116][900/2353] lr: 3.144e-03, eta: 9:57:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.5213, loss: 1.5213 +2025-05-02 05:40:28,164 - pyskl - INFO - Epoch [116][1000/2353] lr: 3.137e-03, eta: 9:56:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.5326, loss: 1.5326 +2025-05-02 05:41:12,228 - pyskl - INFO - Epoch [116][1100/2353] lr: 3.129e-03, eta: 9:55:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.5521, loss: 1.5521 +2025-05-02 05:41:56,371 - pyskl - INFO - Epoch [116][1200/2353] lr: 3.122e-03, eta: 9:55:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.5587, loss: 1.5587 +2025-05-02 05:42:40,325 - pyskl - INFO - Epoch [116][1300/2353] lr: 3.115e-03, eta: 9:54:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 1.6550, loss: 1.6550 +2025-05-02 05:43:24,153 - pyskl - INFO - Epoch [116][1400/2353] lr: 3.107e-03, eta: 9:53:34, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.5896, loss: 1.5896 +2025-05-02 05:44:08,215 - pyskl - INFO - Epoch [116][1500/2353] lr: 3.100e-03, eta: 9:52:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.5720, loss: 1.5720 +2025-05-02 05:44:52,177 - pyskl - INFO - Epoch [116][1600/2353] lr: 3.093e-03, eta: 9:52:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.5188, loss: 1.5188 +2025-05-02 05:45:36,141 - pyskl - INFO - Epoch [116][1700/2353] lr: 3.085e-03, eta: 9:51:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.5676, loss: 1.5676 +2025-05-02 05:46:20,159 - pyskl - INFO - Epoch [116][1800/2353] lr: 3.078e-03, eta: 9:50:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.5472, loss: 1.5472 +2025-05-02 05:47:04,124 - pyskl - INFO - Epoch [116][1900/2353] lr: 3.071e-03, eta: 9:49:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.5522, loss: 1.5522 +2025-05-02 05:47:48,126 - pyskl - INFO - Epoch [116][2000/2353] lr: 3.063e-03, eta: 9:49:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.6340, loss: 1.6340 +2025-05-02 05:48:32,321 - pyskl - INFO - Epoch [116][2100/2353] lr: 3.056e-03, eta: 9:48:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.5783, loss: 1.5783 +2025-05-02 05:49:16,397 - pyskl - INFO - Epoch [116][2200/2353] lr: 3.049e-03, eta: 9:47:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.5754, loss: 1.5754 +2025-05-02 05:50:00,501 - pyskl - INFO - Epoch [116][2300/2353] lr: 3.041e-03, eta: 9:46:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.5527, loss: 1.5527 +2025-05-02 05:50:24,568 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-05-02 05:51:55,025 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 05:51:55,101 - pyskl - INFO - +top1_acc 0.9352 +top5_acc 0.9942 +2025-05-02 05:51:55,105 - pyskl - INFO - Epoch(val) [116][1184] top1_acc: 0.9352, top5_acc: 0.9942 +2025-05-02 05:53:00,227 - pyskl - INFO - Epoch [117][100/2353] lr: 3.030e-03, eta: 9:45:50, time: 0.651, data_time: 0.211, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.5783, loss: 1.5783 +2025-05-02 05:53:44,240 - pyskl - INFO - Epoch [117][200/2353] lr: 3.023e-03, eta: 9:45:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.4858, loss: 1.4858 +2025-05-02 05:54:28,232 - pyskl - INFO - Epoch [117][300/2353] lr: 3.016e-03, eta: 9:44:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.4872, loss: 1.4872 +2025-05-02 05:55:12,198 - pyskl - INFO - Epoch [117][400/2353] lr: 3.009e-03, eta: 9:43:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.4827, loss: 1.4827 +2025-05-02 05:55:56,218 - pyskl - INFO - Epoch [117][500/2353] lr: 3.001e-03, eta: 9:42:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.5084, loss: 1.5084 +2025-05-02 05:56:40,198 - pyskl - INFO - Epoch [117][600/2353] lr: 2.994e-03, eta: 9:42:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.5615, loss: 1.5615 +2025-05-02 05:57:24,200 - pyskl - INFO - Epoch [117][700/2353] lr: 2.987e-03, eta: 9:41:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.5486, loss: 1.5486 +2025-05-02 05:58:08,286 - pyskl - INFO - Epoch [117][800/2353] lr: 2.980e-03, eta: 9:40:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.5456, loss: 1.5456 +2025-05-02 05:58:52,335 - pyskl - INFO - Epoch [117][900/2353] lr: 2.973e-03, eta: 9:39:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.6215, loss: 1.6215 +2025-05-02 05:59:36,394 - pyskl - INFO - Epoch [117][1000/2353] lr: 2.965e-03, eta: 9:39:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.5312, loss: 1.5312 +2025-05-02 06:00:20,383 - pyskl - INFO - Epoch [117][1100/2353] lr: 2.958e-03, eta: 9:38:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.5904, loss: 1.5904 +2025-05-02 06:01:04,387 - pyskl - INFO - Epoch [117][1200/2353] lr: 2.951e-03, eta: 9:37:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.6040, loss: 1.6040 +2025-05-02 06:01:48,335 - pyskl - INFO - Epoch [117][1300/2353] lr: 2.944e-03, eta: 9:37:02, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.5898, loss: 1.5898 +2025-05-02 06:02:32,490 - pyskl - INFO - Epoch [117][1400/2353] lr: 2.937e-03, eta: 9:36:18, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.5578, loss: 1.5578 +2025-05-02 06:03:16,410 - pyskl - INFO - Epoch [117][1500/2353] lr: 2.929e-03, eta: 9:35:34, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.5180, loss: 1.5180 +2025-05-02 06:04:00,397 - pyskl - INFO - Epoch [117][1600/2353] lr: 2.922e-03, eta: 9:34:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.4895, loss: 1.4895 +2025-05-02 06:04:44,429 - pyskl - INFO - Epoch [117][1700/2353] lr: 2.915e-03, eta: 9:34:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.5692, loss: 1.5692 +2025-05-02 06:05:28,465 - pyskl - INFO - Epoch [117][1800/2353] lr: 2.908e-03, eta: 9:33:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.5069, loss: 1.5069 +2025-05-02 06:06:12,418 - pyskl - INFO - Epoch [117][1900/2353] lr: 2.901e-03, eta: 9:32:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.5337, loss: 1.5337 +2025-05-02 06:06:56,482 - pyskl - INFO - Epoch [117][2000/2353] lr: 2.894e-03, eta: 9:31:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.5137, loss: 1.5137 +2025-05-02 06:07:40,542 - pyskl - INFO - Epoch [117][2100/2353] lr: 2.887e-03, eta: 9:31:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.5461, loss: 1.5461 +2025-05-02 06:08:24,647 - pyskl - INFO - Epoch [117][2200/2353] lr: 2.880e-03, eta: 9:30:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.6243, loss: 1.6243 +2025-05-02 06:09:08,704 - pyskl - INFO - Epoch [117][2300/2353] lr: 2.872e-03, eta: 9:29:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.5705, loss: 1.5705 +2025-05-02 06:09:32,883 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-05-02 06:11:02,418 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 06:11:02,495 - pyskl - INFO - +top1_acc 0.9212 +top5_acc 0.9931 +2025-05-02 06:11:02,499 - pyskl - INFO - Epoch(val) [117][1184] top1_acc: 0.9212, top5_acc: 0.9931 +2025-05-02 06:12:07,886 - pyskl - INFO - Epoch [118][100/2353] lr: 2.862e-03, eta: 9:28:34, time: 0.654, data_time: 0.214, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.5258, loss: 1.5258 +2025-05-02 06:12:51,786 - pyskl - INFO - Epoch [118][200/2353] lr: 2.854e-03, eta: 9:27:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.5368, loss: 1.5368 +2025-05-02 06:13:35,686 - pyskl - INFO - Epoch [118][300/2353] lr: 2.847e-03, eta: 9:27:06, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.5357, loss: 1.5357 +2025-05-02 06:14:19,619 - pyskl - INFO - Epoch [118][400/2353] lr: 2.840e-03, eta: 9:26:22, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.4755, loss: 1.4755 +2025-05-02 06:15:03,585 - pyskl - INFO - Epoch [118][500/2353] lr: 2.833e-03, eta: 9:25:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.4616, loss: 1.4616 +2025-05-02 06:15:47,531 - pyskl - INFO - Epoch [118][600/2353] lr: 2.826e-03, eta: 9:24:54, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.4802, loss: 1.4802 +2025-05-02 06:16:31,454 - pyskl - INFO - Epoch [118][700/2353] lr: 2.819e-03, eta: 9:24:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.5315, loss: 1.5315 +2025-05-02 06:17:15,455 - pyskl - INFO - Epoch [118][800/2353] lr: 2.812e-03, eta: 9:23:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.5115, loss: 1.5115 +2025-05-02 06:17:59,493 - pyskl - INFO - Epoch [118][900/2353] lr: 2.805e-03, eta: 9:22:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.4481, loss: 1.4481 +2025-05-02 06:18:43,491 - pyskl - INFO - Epoch [118][1000/2353] lr: 2.798e-03, eta: 9:21:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 1.5152, loss: 1.5152 +2025-05-02 06:19:27,447 - pyskl - INFO - Epoch [118][1100/2353] lr: 2.791e-03, eta: 9:21:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.5157, loss: 1.5157 +2025-05-02 06:20:11,378 - pyskl - INFO - Epoch [118][1200/2353] lr: 2.784e-03, eta: 9:20:30, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.5331, loss: 1.5331 +2025-05-02 06:20:55,395 - pyskl - INFO - Epoch [118][1300/2353] lr: 2.777e-03, eta: 9:19:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.4919, loss: 1.4919 +2025-05-02 06:21:39,495 - pyskl - INFO - Epoch [118][1400/2353] lr: 2.770e-03, eta: 9:19:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.5375, loss: 1.5375 +2025-05-02 06:22:23,548 - pyskl - INFO - Epoch [118][1500/2353] lr: 2.763e-03, eta: 9:18:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.5380, loss: 1.5380 +2025-05-02 06:23:07,590 - pyskl - INFO - Epoch [118][1600/2353] lr: 2.756e-03, eta: 9:17:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.4662, loss: 1.4662 +2025-05-02 06:23:51,555 - pyskl - INFO - Epoch [118][1700/2353] lr: 2.749e-03, eta: 9:16:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.5842, loss: 1.5842 +2025-05-02 06:24:35,644 - pyskl - INFO - Epoch [118][1800/2353] lr: 2.742e-03, eta: 9:16:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.5788, loss: 1.5788 +2025-05-02 06:25:19,788 - pyskl - INFO - Epoch [118][1900/2353] lr: 2.735e-03, eta: 9:15:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.5969, loss: 1.5969 +2025-05-02 06:26:03,792 - pyskl - INFO - Epoch [118][2000/2353] lr: 2.728e-03, eta: 9:14:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.5284, loss: 1.5284 +2025-05-02 06:26:47,820 - pyskl - INFO - Epoch [118][2100/2353] lr: 2.721e-03, eta: 9:13:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 1.5809, loss: 1.5809 +2025-05-02 06:27:31,831 - pyskl - INFO - Epoch [118][2200/2353] lr: 2.714e-03, eta: 9:13:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 1.5586, loss: 1.5586 +2025-05-02 06:28:15,706 - pyskl - INFO - Epoch [118][2300/2353] lr: 2.708e-03, eta: 9:12:27, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.5298, loss: 1.5298 +2025-05-02 06:28:39,680 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-05-02 06:30:09,394 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 06:30:09,469 - pyskl - INFO - +top1_acc 0.9377 +top5_acc 0.9937 +2025-05-02 06:30:09,472 - pyskl - INFO - Epoch(val) [118][1184] top1_acc: 0.9377, top5_acc: 0.9937 +2025-05-02 06:31:14,691 - pyskl - INFO - Epoch [119][100/2353] lr: 2.697e-03, eta: 9:11:19, time: 0.652, data_time: 0.213, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.5629, loss: 1.5629 +2025-05-02 06:31:58,758 - pyskl - INFO - Epoch [119][200/2353] lr: 2.690e-03, eta: 9:10:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.4507, loss: 1.4507 +2025-05-02 06:32:42,851 - pyskl - INFO - Epoch [119][300/2353] lr: 2.683e-03, eta: 9:09:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4611, loss: 1.4611 +2025-05-02 06:33:26,959 - pyskl - INFO - Epoch [119][400/2353] lr: 2.676e-03, eta: 9:09:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.5023, loss: 1.5023 +2025-05-02 06:34:10,979 - pyskl - INFO - Epoch [119][500/2353] lr: 2.669e-03, eta: 9:08:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.4925, loss: 1.4925 +2025-05-02 06:34:55,039 - pyskl - INFO - Epoch [119][600/2353] lr: 2.663e-03, eta: 9:07:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.5547, loss: 1.5547 +2025-05-02 06:35:39,358 - pyskl - INFO - Epoch [119][700/2353] lr: 2.656e-03, eta: 9:06:55, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.4486, loss: 1.4486 +2025-05-02 06:36:23,692 - pyskl - INFO - Epoch [119][800/2353] lr: 2.649e-03, eta: 9:06:11, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.4517, loss: 1.4517 +2025-05-02 06:37:07,891 - pyskl - INFO - Epoch [119][900/2353] lr: 2.642e-03, eta: 9:05:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.4620, loss: 1.4620 +2025-05-02 06:37:51,978 - pyskl - INFO - Epoch [119][1000/2353] lr: 2.635e-03, eta: 9:04:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.4547, loss: 1.4547 +2025-05-02 06:38:35,979 - pyskl - INFO - Epoch [119][1100/2353] lr: 2.628e-03, eta: 9:03:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.4634, loss: 1.4634 +2025-05-02 06:39:20,075 - pyskl - INFO - Epoch [119][1200/2353] lr: 2.622e-03, eta: 9:03:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.4550, loss: 1.4550 +2025-05-02 06:40:04,170 - pyskl - INFO - Epoch [119][1300/2353] lr: 2.615e-03, eta: 9:02:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.4634, loss: 1.4634 +2025-05-02 06:40:48,154 - pyskl - INFO - Epoch [119][1400/2353] lr: 2.608e-03, eta: 9:01:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.4730, loss: 1.4730 +2025-05-02 06:41:32,129 - pyskl - INFO - Epoch [119][1500/2353] lr: 2.601e-03, eta: 9:01:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.5069, loss: 1.5069 +2025-05-02 06:42:16,119 - pyskl - INFO - Epoch [119][1600/2353] lr: 2.594e-03, eta: 9:00:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4589, loss: 1.4589 +2025-05-02 06:42:59,998 - pyskl - INFO - Epoch [119][1700/2353] lr: 2.588e-03, eta: 8:59:35, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.5210, loss: 1.5210 +2025-05-02 06:43:44,160 - pyskl - INFO - Epoch [119][1800/2353] lr: 2.581e-03, eta: 8:58:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.4435, loss: 1.4435 +2025-05-02 06:44:28,303 - pyskl - INFO - Epoch [119][1900/2353] lr: 2.574e-03, eta: 8:58:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.5010, loss: 1.5010 +2025-05-02 06:45:12,451 - pyskl - INFO - Epoch [119][2000/2353] lr: 2.567e-03, eta: 8:57:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.4546, loss: 1.4546 +2025-05-02 06:45:56,459 - pyskl - INFO - Epoch [119][2100/2353] lr: 2.560e-03, eta: 8:56:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.5461, loss: 1.5461 +2025-05-02 06:46:40,476 - pyskl - INFO - Epoch [119][2200/2353] lr: 2.554e-03, eta: 8:55:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 1.4974, loss: 1.4974 +2025-05-02 06:47:24,521 - pyskl - INFO - Epoch [119][2300/2353] lr: 2.547e-03, eta: 8:55:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.4315, loss: 1.4315 +2025-05-02 06:47:48,668 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-05-02 06:49:18,503 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 06:49:18,578 - pyskl - INFO - +top1_acc 0.9508 +top5_acc 0.9954 +2025-05-02 06:49:18,634 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_115.pth was removed +2025-05-02 06:49:19,720 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2025-05-02 06:49:19,721 - pyskl - INFO - Best top1_acc is 0.9508 at 119 epoch. +2025-05-02 06:49:19,724 - pyskl - INFO - Epoch(val) [119][1184] top1_acc: 0.9508, top5_acc: 0.9954 +2025-05-02 06:50:24,573 - pyskl - INFO - Epoch [120][100/2353] lr: 2.537e-03, eta: 8:54:03, time: 0.648, data_time: 0.209, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4757, loss: 1.4757 +2025-05-02 06:51:08,573 - pyskl - INFO - Epoch [120][200/2353] lr: 2.530e-03, eta: 8:53:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.4019, loss: 1.4019 +2025-05-02 06:51:52,625 - pyskl - INFO - Epoch [120][300/2353] lr: 2.523e-03, eta: 8:52:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.4357, loss: 1.4357 +2025-05-02 06:52:36,746 - pyskl - INFO - Epoch [120][400/2353] lr: 2.517e-03, eta: 8:51:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.4715, loss: 1.4715 +2025-05-02 06:53:20,851 - pyskl - INFO - Epoch [120][500/2353] lr: 2.510e-03, eta: 8:51:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.4799, loss: 1.4799 +2025-05-02 06:54:05,021 - pyskl - INFO - Epoch [120][600/2353] lr: 2.503e-03, eta: 8:50:24, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.4699, loss: 1.4699 +2025-05-02 06:54:49,110 - pyskl - INFO - Epoch [120][700/2353] lr: 2.497e-03, eta: 8:49:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4753, loss: 1.4753 +2025-05-02 06:55:33,355 - pyskl - INFO - Epoch [120][800/2353] lr: 2.490e-03, eta: 8:48:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.4340, loss: 1.4340 +2025-05-02 06:56:17,466 - pyskl - INFO - Epoch [120][900/2353] lr: 2.483e-03, eta: 8:48:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.4705, loss: 1.4705 +2025-05-02 06:57:01,447 - pyskl - INFO - Epoch [120][1000/2353] lr: 2.477e-03, eta: 8:47:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.4966, loss: 1.4966 +2025-05-02 06:57:45,593 - pyskl - INFO - Epoch [120][1100/2353] lr: 2.470e-03, eta: 8:46:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.5234, loss: 1.5234 +2025-05-02 06:58:29,770 - pyskl - INFO - Epoch [120][1200/2353] lr: 2.463e-03, eta: 8:46:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.5274, loss: 1.5274 +2025-05-02 06:59:13,832 - pyskl - INFO - Epoch [120][1300/2353] lr: 2.457e-03, eta: 8:45:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.5067, loss: 1.5067 +2025-05-02 06:59:57,899 - pyskl - INFO - Epoch [120][1400/2353] lr: 2.450e-03, eta: 8:44:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.4851, loss: 1.4851 +2025-05-02 07:00:41,834 - pyskl - INFO - Epoch [120][1500/2353] lr: 2.443e-03, eta: 8:43:48, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.4789, loss: 1.4789 +2025-05-02 07:01:25,851 - pyskl - INFO - Epoch [120][1600/2353] lr: 2.437e-03, eta: 8:43:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.4498, loss: 1.4498 +2025-05-02 07:02:10,094 - pyskl - INFO - Epoch [120][1700/2353] lr: 2.430e-03, eta: 8:42:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.5030, loss: 1.5030 +2025-05-02 07:02:54,299 - pyskl - INFO - Epoch [120][1800/2353] lr: 2.424e-03, eta: 8:41:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.5130, loss: 1.5130 +2025-05-02 07:03:38,615 - pyskl - INFO - Epoch [120][1900/2353] lr: 2.417e-03, eta: 8:40:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4572, loss: 1.4572 +2025-05-02 07:04:22,710 - pyskl - INFO - Epoch [120][2000/2353] lr: 2.410e-03, eta: 8:40:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.5190, loss: 1.5190 +2025-05-02 07:05:06,672 - pyskl - INFO - Epoch [120][2100/2353] lr: 2.404e-03, eta: 8:39:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.5042, loss: 1.5042 +2025-05-02 07:05:50,752 - pyskl - INFO - Epoch [120][2200/2353] lr: 2.397e-03, eta: 8:38:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.4703, loss: 1.4703 +2025-05-02 07:06:34,801 - pyskl - INFO - Epoch [120][2300/2353] lr: 2.391e-03, eta: 8:37:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.5222, loss: 1.5222 +2025-05-02 07:06:58,753 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-05-02 07:08:28,669 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 07:08:28,746 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9957 +2025-05-02 07:08:28,750 - pyskl - INFO - Epoch(val) [120][1184] top1_acc: 0.9423, top5_acc: 0.9957 +2025-05-02 07:09:34,139 - pyskl - INFO - Epoch [121][100/2353] lr: 2.381e-03, eta: 8:36:48, time: 0.654, data_time: 0.211, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.4423, loss: 1.4423 +2025-05-02 07:10:18,182 - pyskl - INFO - Epoch [121][200/2353] lr: 2.374e-03, eta: 8:36:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.4589, loss: 1.4589 +2025-05-02 07:11:02,256 - pyskl - INFO - Epoch [121][300/2353] lr: 2.368e-03, eta: 8:35:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3678, loss: 1.3678 +2025-05-02 07:11:46,309 - pyskl - INFO - Epoch [121][400/2353] lr: 2.361e-03, eta: 8:34:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3962, loss: 1.3962 +2025-05-02 07:12:30,496 - pyskl - INFO - Epoch [121][500/2353] lr: 2.355e-03, eta: 8:33:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3840, loss: 1.3840 +2025-05-02 07:13:14,882 - pyskl - INFO - Epoch [121][600/2353] lr: 2.348e-03, eta: 8:33:09, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3648, loss: 1.3648 +2025-05-02 07:13:59,126 - pyskl - INFO - Epoch [121][700/2353] lr: 2.342e-03, eta: 8:32:25, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4394, loss: 1.4394 +2025-05-02 07:14:43,226 - pyskl - INFO - Epoch [121][800/2353] lr: 2.335e-03, eta: 8:31:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.4151, loss: 1.4151 +2025-05-02 07:15:27,327 - pyskl - INFO - Epoch [121][900/2353] lr: 2.329e-03, eta: 8:30:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.4350, loss: 1.4350 +2025-05-02 07:16:11,405 - pyskl - INFO - Epoch [121][1000/2353] lr: 2.322e-03, eta: 8:30:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.4314, loss: 1.4314 +2025-05-02 07:16:55,575 - pyskl - INFO - Epoch [121][1100/2353] lr: 2.316e-03, eta: 8:29:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.4621, loss: 1.4621 +2025-05-02 07:17:39,663 - pyskl - INFO - Epoch [121][1200/2353] lr: 2.309e-03, eta: 8:28:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.4540, loss: 1.4540 +2025-05-02 07:18:23,764 - pyskl - INFO - Epoch [121][1300/2353] lr: 2.303e-03, eta: 8:28:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4329, loss: 1.4329 +2025-05-02 07:19:07,847 - pyskl - INFO - Epoch [121][1400/2353] lr: 2.297e-03, eta: 8:27:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4531, loss: 1.4531 +2025-05-02 07:19:51,836 - pyskl - INFO - Epoch [121][1500/2353] lr: 2.290e-03, eta: 8:26:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.4499, loss: 1.4499 +2025-05-02 07:20:36,215 - pyskl - INFO - Epoch [121][1600/2353] lr: 2.284e-03, eta: 8:25:49, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.4406, loss: 1.4406 +2025-05-02 07:21:20,353 - pyskl - INFO - Epoch [121][1700/2353] lr: 2.277e-03, eta: 8:25:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.5026, loss: 1.5026 +2025-05-02 07:22:04,539 - pyskl - INFO - Epoch [121][1800/2353] lr: 2.271e-03, eta: 8:24:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.3883, loss: 1.3883 +2025-05-02 07:22:48,722 - pyskl - INFO - Epoch [121][1900/2353] lr: 2.265e-03, eta: 8:23:37, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.4637, loss: 1.4637 +2025-05-02 07:23:32,759 - pyskl - INFO - Epoch [121][2000/2353] lr: 2.258e-03, eta: 8:22:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.4624, loss: 1.4624 +2025-05-02 07:24:16,827 - pyskl - INFO - Epoch [121][2100/2353] lr: 2.252e-03, eta: 8:22:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.4520, loss: 1.4520 +2025-05-02 07:25:01,100 - pyskl - INFO - Epoch [121][2200/2353] lr: 2.245e-03, eta: 8:21:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.4705, loss: 1.4705 +2025-05-02 07:25:45,187 - pyskl - INFO - Epoch [121][2300/2353] lr: 2.239e-03, eta: 8:20:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.5046, loss: 1.5046 +2025-05-02 07:26:09,314 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-05-02 07:27:38,981 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 07:27:39,058 - pyskl - INFO - +top1_acc 0.9432 +top5_acc 0.9937 +2025-05-02 07:27:39,061 - pyskl - INFO - Epoch(val) [121][1184] top1_acc: 0.9432, top5_acc: 0.9937 +2025-05-02 07:28:44,027 - pyskl - INFO - Epoch [122][100/2353] lr: 2.229e-03, eta: 8:19:34, time: 0.650, data_time: 0.210, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.4017, loss: 1.4017 +2025-05-02 07:29:27,982 - pyskl - INFO - Epoch [122][200/2353] lr: 2.223e-03, eta: 8:18:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.4499, loss: 1.4499 +2025-05-02 07:30:11,998 - pyskl - INFO - Epoch [122][300/2353] lr: 2.217e-03, eta: 8:18:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3841, loss: 1.3841 +2025-05-02 07:30:56,095 - pyskl - INFO - Epoch [122][400/2353] lr: 2.210e-03, eta: 8:17:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3869, loss: 1.3869 +2025-05-02 07:31:40,340 - pyskl - INFO - Epoch [122][500/2353] lr: 2.204e-03, eta: 8:16:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.4080, loss: 1.4080 +2025-05-02 07:32:24,692 - pyskl - INFO - Epoch [122][600/2353] lr: 2.198e-03, eta: 8:15:54, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.4419, loss: 1.4419 +2025-05-02 07:33:08,947 - pyskl - INFO - Epoch [122][700/2353] lr: 2.191e-03, eta: 8:15:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.4405, loss: 1.4405 +2025-05-02 07:33:53,083 - pyskl - INFO - Epoch [122][800/2353] lr: 2.185e-03, eta: 8:14:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4844, loss: 1.4844 +2025-05-02 07:34:37,119 - pyskl - INFO - Epoch [122][900/2353] lr: 2.179e-03, eta: 8:13:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3936, loss: 1.3936 +2025-05-02 07:35:21,145 - pyskl - INFO - Epoch [122][1000/2353] lr: 2.173e-03, eta: 8:12:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3951, loss: 1.3951 +2025-05-02 07:36:05,202 - pyskl - INFO - Epoch [122][1100/2353] lr: 2.166e-03, eta: 8:12:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3797, loss: 1.3797 +2025-05-02 07:36:49,282 - pyskl - INFO - Epoch [122][1200/2353] lr: 2.160e-03, eta: 8:11:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3785, loss: 1.3785 +2025-05-02 07:37:33,396 - pyskl - INFO - Epoch [122][1300/2353] lr: 2.154e-03, eta: 8:10:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.4193, loss: 1.4193 +2025-05-02 07:38:17,319 - pyskl - INFO - Epoch [122][1400/2353] lr: 2.148e-03, eta: 8:10:02, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.4984, loss: 1.4984 +2025-05-02 07:39:01,683 - pyskl - INFO - Epoch [122][1500/2353] lr: 2.141e-03, eta: 8:09:18, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3909, loss: 1.3909 +2025-05-02 07:39:46,299 - pyskl - INFO - Epoch [122][1600/2353] lr: 2.135e-03, eta: 8:08:34, time: 0.446, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.4537, loss: 1.4537 +2025-05-02 07:40:30,510 - pyskl - INFO - Epoch [122][1700/2353] lr: 2.129e-03, eta: 8:07:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.4238, loss: 1.4238 +2025-05-02 07:41:14,572 - pyskl - INFO - Epoch [122][1800/2353] lr: 2.123e-03, eta: 8:07:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.3950, loss: 1.3950 +2025-05-02 07:41:58,259 - pyskl - INFO - Epoch [122][1900/2353] lr: 2.117e-03, eta: 8:06:22, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.4209, loss: 1.4209 +2025-05-02 07:42:42,429 - pyskl - INFO - Epoch [122][2000/2353] lr: 2.110e-03, eta: 8:05:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4457, loss: 1.4457 +2025-05-02 07:43:26,519 - pyskl - INFO - Epoch [122][2100/2353] lr: 2.104e-03, eta: 8:04:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4181, loss: 1.4181 +2025-05-02 07:44:10,571 - pyskl - INFO - Epoch [122][2200/2353] lr: 2.098e-03, eta: 8:04:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.4184, loss: 1.4184 +2025-05-02 07:44:54,655 - pyskl - INFO - Epoch [122][2300/2353] lr: 2.092e-03, eta: 8:03:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 1.4390, loss: 1.4390 +2025-05-02 07:45:18,716 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-05-02 07:46:48,588 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 07:46:48,663 - pyskl - INFO - +top1_acc 0.9422 +top5_acc 0.9930 +2025-05-02 07:46:48,667 - pyskl - INFO - Epoch(val) [122][1184] top1_acc: 0.9422, top5_acc: 0.9930 +2025-05-02 07:47:54,356 - pyskl - INFO - Epoch [123][100/2353] lr: 2.082e-03, eta: 8:02:19, time: 0.657, data_time: 0.214, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.3662, loss: 1.3662 +2025-05-02 07:48:38,583 - pyskl - INFO - Epoch [123][200/2353] lr: 2.076e-03, eta: 8:01:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3973, loss: 1.3973 +2025-05-02 07:49:22,822 - pyskl - INFO - Epoch [123][300/2353] lr: 2.070e-03, eta: 8:00:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.4025, loss: 1.4025 +2025-05-02 07:50:07,091 - pyskl - INFO - Epoch [123][400/2353] lr: 2.064e-03, eta: 8:00:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3828, loss: 1.3828 +2025-05-02 07:50:51,265 - pyskl - INFO - Epoch [123][500/2353] lr: 2.058e-03, eta: 7:59:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3655, loss: 1.3655 +2025-05-02 07:51:35,363 - pyskl - INFO - Epoch [123][600/2353] lr: 2.052e-03, eta: 7:58:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.4069, loss: 1.4069 +2025-05-02 07:52:19,442 - pyskl - INFO - Epoch [123][700/2353] lr: 2.046e-03, eta: 7:57:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3659, loss: 1.3659 +2025-05-02 07:53:03,474 - pyskl - INFO - Epoch [123][800/2353] lr: 2.040e-03, eta: 7:57:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3869, loss: 1.3869 +2025-05-02 07:53:47,506 - pyskl - INFO - Epoch [123][900/2353] lr: 2.033e-03, eta: 7:56:27, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.4126, loss: 1.4126 +2025-05-02 07:54:31,511 - pyskl - INFO - Epoch [123][1000/2353] lr: 2.027e-03, eta: 7:55:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3481, loss: 1.3481 +2025-05-02 07:55:15,501 - pyskl - INFO - Epoch [123][1100/2353] lr: 2.021e-03, eta: 7:54:59, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3189, loss: 1.3189 +2025-05-02 07:55:59,709 - pyskl - INFO - Epoch [123][1200/2353] lr: 2.015e-03, eta: 7:54:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3429, loss: 1.3429 +2025-05-02 07:56:43,770 - pyskl - INFO - Epoch [123][1300/2353] lr: 2.009e-03, eta: 7:53:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.4419, loss: 1.4419 +2025-05-02 07:57:27,951 - pyskl - INFO - Epoch [123][1400/2353] lr: 2.003e-03, eta: 7:52:47, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.4524, loss: 1.4524 +2025-05-02 07:58:12,092 - pyskl - INFO - Epoch [123][1500/2353] lr: 1.997e-03, eta: 7:52:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.4308, loss: 1.4308 +2025-05-02 07:58:56,327 - pyskl - INFO - Epoch [123][1600/2353] lr: 1.991e-03, eta: 7:51:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3592, loss: 1.3592 +2025-05-02 07:59:40,380 - pyskl - INFO - Epoch [123][1700/2353] lr: 1.985e-03, eta: 7:50:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3546, loss: 1.3546 +2025-05-02 08:00:24,501 - pyskl - INFO - Epoch [123][1800/2353] lr: 1.979e-03, eta: 7:49:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.4167, loss: 1.4167 +2025-05-02 08:01:08,629 - pyskl - INFO - Epoch [123][1900/2353] lr: 1.973e-03, eta: 7:49:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3757, loss: 1.3757 +2025-05-02 08:01:52,774 - pyskl - INFO - Epoch [123][2000/2353] lr: 1.967e-03, eta: 7:48:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4026, loss: 1.4026 +2025-05-02 08:02:36,898 - pyskl - INFO - Epoch [123][2100/2353] lr: 1.961e-03, eta: 7:47:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3824, loss: 1.3824 +2025-05-02 08:03:21,058 - pyskl - INFO - Epoch [123][2200/2353] lr: 1.955e-03, eta: 7:46:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.3830, loss: 1.3830 +2025-05-02 08:04:05,182 - pyskl - INFO - Epoch [123][2300/2353] lr: 1.949e-03, eta: 7:46:12, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.4250, loss: 1.4250 +2025-05-02 08:04:29,386 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-05-02 08:05:59,220 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 08:05:59,296 - pyskl - INFO - +top1_acc 0.9474 +top5_acc 0.9952 +2025-05-02 08:05:59,300 - pyskl - INFO - Epoch(val) [123][1184] top1_acc: 0.9474, top5_acc: 0.9952 +2025-05-02 08:07:04,689 - pyskl - INFO - Epoch [124][100/2353] lr: 1.940e-03, eta: 7:45:04, time: 0.654, data_time: 0.210, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3890, loss: 1.3890 +2025-05-02 08:07:48,790 - pyskl - INFO - Epoch [124][200/2353] lr: 1.934e-03, eta: 7:44:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3839, loss: 1.3839 +2025-05-02 08:08:33,091 - pyskl - INFO - Epoch [124][300/2353] lr: 1.928e-03, eta: 7:43:36, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3141, loss: 1.3141 +2025-05-02 08:09:17,351 - pyskl - INFO - Epoch [124][400/2353] lr: 1.922e-03, eta: 7:42:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3290, loss: 1.3290 +2025-05-02 08:10:01,557 - pyskl - INFO - Epoch [124][500/2353] lr: 1.916e-03, eta: 7:42:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3169, loss: 1.3169 +2025-05-02 08:10:45,694 - pyskl - INFO - Epoch [124][600/2353] lr: 1.910e-03, eta: 7:41:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.3580, loss: 1.3580 +2025-05-02 08:11:29,813 - pyskl - INFO - Epoch [124][700/2353] lr: 1.904e-03, eta: 7:40:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3868, loss: 1.3868 +2025-05-02 08:12:13,894 - pyskl - INFO - Epoch [124][800/2353] lr: 1.899e-03, eta: 7:39:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3844, loss: 1.3844 +2025-05-02 08:12:58,066 - pyskl - INFO - Epoch [124][900/2353] lr: 1.893e-03, eta: 7:39:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.4268, loss: 1.4268 +2025-05-02 08:13:42,245 - pyskl - INFO - Epoch [124][1000/2353] lr: 1.887e-03, eta: 7:38:28, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3392, loss: 1.3392 +2025-05-02 08:14:26,352 - pyskl - INFO - Epoch [124][1100/2353] lr: 1.881e-03, eta: 7:37:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3517, loss: 1.3517 +2025-05-02 08:15:10,584 - pyskl - INFO - Epoch [124][1200/2353] lr: 1.875e-03, eta: 7:37:00, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3771, loss: 1.3771 +2025-05-02 08:15:54,721 - pyskl - INFO - Epoch [124][1300/2353] lr: 1.869e-03, eta: 7:36:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.3494, loss: 1.3494 +2025-05-02 08:16:38,735 - pyskl - INFO - Epoch [124][1400/2353] lr: 1.863e-03, eta: 7:35:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3754, loss: 1.3754 +2025-05-02 08:17:22,868 - pyskl - INFO - Epoch [124][1500/2353] lr: 1.857e-03, eta: 7:34:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4139, loss: 1.4139 +2025-05-02 08:18:06,631 - pyskl - INFO - Epoch [124][1600/2353] lr: 1.852e-03, eta: 7:34:04, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3689, loss: 1.3689 +2025-05-02 08:18:50,699 - pyskl - INFO - Epoch [124][1700/2353] lr: 1.846e-03, eta: 7:33:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3695, loss: 1.3695 +2025-05-02 08:19:34,730 - pyskl - INFO - Epoch [124][1800/2353] lr: 1.840e-03, eta: 7:32:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3654, loss: 1.3654 +2025-05-02 08:20:18,705 - pyskl - INFO - Epoch [124][1900/2353] lr: 1.834e-03, eta: 7:31:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3565, loss: 1.3565 +2025-05-02 08:21:02,686 - pyskl - INFO - Epoch [124][2000/2353] lr: 1.828e-03, eta: 7:31:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3984, loss: 1.3984 +2025-05-02 08:21:46,686 - pyskl - INFO - Epoch [124][2100/2353] lr: 1.823e-03, eta: 7:30:25, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3771, loss: 1.3771 +2025-05-02 08:22:30,731 - pyskl - INFO - Epoch [124][2200/2353] lr: 1.817e-03, eta: 7:29:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3778, loss: 1.3778 +2025-05-02 08:23:14,694 - pyskl - INFO - Epoch [124][2300/2353] lr: 1.811e-03, eta: 7:28:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3802, loss: 1.3802 +2025-05-02 08:23:38,713 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-05-02 08:25:08,876 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 08:25:08,953 - pyskl - INFO - +top1_acc 0.9496 +top5_acc 0.9951 +2025-05-02 08:25:08,956 - pyskl - INFO - Epoch(val) [124][1184] top1_acc: 0.9496, top5_acc: 0.9951 +2025-05-02 08:26:13,991 - pyskl - INFO - Epoch [125][100/2353] lr: 1.802e-03, eta: 7:27:49, time: 0.650, data_time: 0.211, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3766, loss: 1.3766 +2025-05-02 08:26:57,811 - pyskl - INFO - Epoch [125][200/2353] lr: 1.796e-03, eta: 7:27:05, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3482, loss: 1.3482 +2025-05-02 08:27:41,745 - pyskl - INFO - Epoch [125][300/2353] lr: 1.791e-03, eta: 7:26:21, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3472, loss: 1.3472 +2025-05-02 08:28:25,802 - pyskl - INFO - Epoch [125][400/2353] lr: 1.785e-03, eta: 7:25:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3743, loss: 1.3743 +2025-05-02 08:29:09,945 - pyskl - INFO - Epoch [125][500/2353] lr: 1.779e-03, eta: 7:24:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3907, loss: 1.3907 +2025-05-02 08:29:54,089 - pyskl - INFO - Epoch [125][600/2353] lr: 1.774e-03, eta: 7:24:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2977, loss: 1.2977 +2025-05-02 08:30:38,147 - pyskl - INFO - Epoch [125][700/2353] lr: 1.768e-03, eta: 7:23:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3375, loss: 1.3375 +2025-05-02 08:31:22,291 - pyskl - INFO - Epoch [125][800/2353] lr: 1.762e-03, eta: 7:22:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3180, loss: 1.3180 +2025-05-02 08:32:06,363 - pyskl - INFO - Epoch [125][900/2353] lr: 1.756e-03, eta: 7:21:57, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3050, loss: 1.3050 +2025-05-02 08:32:50,614 - pyskl - INFO - Epoch [125][1000/2353] lr: 1.751e-03, eta: 7:21:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3532, loss: 1.3532 +2025-05-02 08:33:34,766 - pyskl - INFO - Epoch [125][1100/2353] lr: 1.745e-03, eta: 7:20:29, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3111, loss: 1.3111 +2025-05-02 08:34:18,917 - pyskl - INFO - Epoch [125][1200/2353] lr: 1.739e-03, eta: 7:19:45, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3530, loss: 1.3530 +2025-05-02 08:35:03,065 - pyskl - INFO - Epoch [125][1300/2353] lr: 1.734e-03, eta: 7:19:01, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3019, loss: 1.3019 +2025-05-02 08:35:47,255 - pyskl - INFO - Epoch [125][1400/2353] lr: 1.728e-03, eta: 7:18:17, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.3770, loss: 1.3770 +2025-05-02 08:36:31,339 - pyskl - INFO - Epoch [125][1500/2353] lr: 1.723e-03, eta: 7:17:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3657, loss: 1.3657 +2025-05-02 08:37:15,409 - pyskl - INFO - Epoch [125][1600/2353] lr: 1.717e-03, eta: 7:16:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3714, loss: 1.3714 +2025-05-02 08:37:59,541 - pyskl - INFO - Epoch [125][1700/2353] lr: 1.711e-03, eta: 7:16:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3725, loss: 1.3725 +2025-05-02 08:38:43,707 - pyskl - INFO - Epoch [125][1800/2353] lr: 1.706e-03, eta: 7:15:21, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3130, loss: 1.3130 +2025-05-02 08:39:27,743 - pyskl - INFO - Epoch [125][1900/2353] lr: 1.700e-03, eta: 7:14:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3340, loss: 1.3340 +2025-05-02 08:40:11,676 - pyskl - INFO - Epoch [125][2000/2353] lr: 1.694e-03, eta: 7:13:53, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3958, loss: 1.3958 +2025-05-02 08:40:55,794 - pyskl - INFO - Epoch [125][2100/2353] lr: 1.689e-03, eta: 7:13:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3630, loss: 1.3630 +2025-05-02 08:41:39,916 - pyskl - INFO - Epoch [125][2200/2353] lr: 1.683e-03, eta: 7:12:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3906, loss: 1.3906 +2025-05-02 08:42:24,015 - pyskl - INFO - Epoch [125][2300/2353] lr: 1.678e-03, eta: 7:11:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.3643, loss: 1.3643 +2025-05-02 08:42:48,100 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-05-02 08:44:19,312 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 08:44:19,388 - pyskl - INFO - +top1_acc 0.9500 +top5_acc 0.9946 +2025-05-02 08:44:19,392 - pyskl - INFO - Epoch(val) [125][1184] top1_acc: 0.9500, top5_acc: 0.9946 +2025-05-02 08:45:24,778 - pyskl - INFO - Epoch [126][100/2353] lr: 1.669e-03, eta: 7:10:34, time: 0.654, data_time: 0.213, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3011, loss: 1.3011 +2025-05-02 08:46:08,783 - pyskl - INFO - Epoch [126][200/2353] lr: 1.664e-03, eta: 7:09:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3397, loss: 1.3397 +2025-05-02 08:46:52,768 - pyskl - INFO - Epoch [126][300/2353] lr: 1.658e-03, eta: 7:09:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3584, loss: 1.3584 +2025-05-02 08:47:37,002 - pyskl - INFO - Epoch [126][400/2353] lr: 1.653e-03, eta: 7:08:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2987, loss: 1.2987 +2025-05-02 08:48:21,044 - pyskl - INFO - Epoch [126][500/2353] lr: 1.647e-03, eta: 7:07:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3646, loss: 1.3646 +2025-05-02 08:49:05,162 - pyskl - INFO - Epoch [126][600/2353] lr: 1.642e-03, eta: 7:06:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2722, loss: 1.2722 +2025-05-02 08:49:49,056 - pyskl - INFO - Epoch [126][700/2353] lr: 1.636e-03, eta: 7:06:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3158, loss: 1.3158 +2025-05-02 08:50:33,281 - pyskl - INFO - Epoch [126][800/2353] lr: 1.631e-03, eta: 7:05:26, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2693, loss: 1.2693 +2025-05-02 08:51:17,418 - pyskl - INFO - Epoch [126][900/2353] lr: 1.625e-03, eta: 7:04:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3302, loss: 1.3302 +2025-05-02 08:52:01,501 - pyskl - INFO - Epoch [126][1000/2353] lr: 1.620e-03, eta: 7:03:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3691, loss: 1.3691 +2025-05-02 08:52:45,632 - pyskl - INFO - Epoch [126][1100/2353] lr: 1.614e-03, eta: 7:03:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3121, loss: 1.3121 +2025-05-02 08:53:29,621 - pyskl - INFO - Epoch [126][1200/2353] lr: 1.609e-03, eta: 7:02:30, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3313, loss: 1.3313 +2025-05-02 08:54:13,616 - pyskl - INFO - Epoch [126][1300/2353] lr: 1.603e-03, eta: 7:01:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3111, loss: 1.3111 +2025-05-02 08:54:57,626 - pyskl - INFO - Epoch [126][1400/2353] lr: 1.598e-03, eta: 7:01:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3072, loss: 1.3072 +2025-05-02 08:55:41,695 - pyskl - INFO - Epoch [126][1500/2353] lr: 1.592e-03, eta: 7:00:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3810, loss: 1.3810 +2025-05-02 08:56:25,691 - pyskl - INFO - Epoch [126][1600/2353] lr: 1.587e-03, eta: 6:59:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3805, loss: 1.3805 +2025-05-02 08:57:09,580 - pyskl - INFO - Epoch [126][1700/2353] lr: 1.581e-03, eta: 6:58:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3350, loss: 1.3350 +2025-05-02 08:57:53,217 - pyskl - INFO - Epoch [126][1800/2353] lr: 1.576e-03, eta: 6:58:06, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2838, loss: 1.2838 +2025-05-02 08:58:37,146 - pyskl - INFO - Epoch [126][1900/2353] lr: 1.571e-03, eta: 6:57:22, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3549, loss: 1.3549 +2025-05-02 08:59:21,142 - pyskl - INFO - Epoch [126][2000/2353] lr: 1.565e-03, eta: 6:56:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2927, loss: 1.2927 +2025-05-02 09:00:05,223 - pyskl - INFO - Epoch [126][2100/2353] lr: 1.560e-03, eta: 6:55:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3196, loss: 1.3196 +2025-05-02 09:00:49,359 - pyskl - INFO - Epoch [126][2200/2353] lr: 1.554e-03, eta: 6:55:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3498, loss: 1.3498 +2025-05-02 09:01:33,239 - pyskl - INFO - Epoch [126][2300/2353] lr: 1.549e-03, eta: 6:54:26, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3515, loss: 1.3515 +2025-05-02 09:01:57,272 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-05-02 09:03:27,254 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 09:03:27,329 - pyskl - INFO - +top1_acc 0.9488 +top5_acc 0.9947 +2025-05-02 09:03:27,333 - pyskl - INFO - Epoch(val) [126][1184] top1_acc: 0.9488, top5_acc: 0.9947 +2025-05-02 09:04:32,226 - pyskl - INFO - Epoch [127][100/2353] lr: 1.541e-03, eta: 6:53:18, time: 0.649, data_time: 0.208, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2756, loss: 1.2756 +2025-05-02 09:05:16,350 - pyskl - INFO - Epoch [127][200/2353] lr: 1.536e-03, eta: 6:52:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3377, loss: 1.3377 +2025-05-02 09:06:00,802 - pyskl - INFO - Epoch [127][300/2353] lr: 1.530e-03, eta: 6:51:50, time: 0.445, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3318, loss: 1.3318 +2025-05-02 09:06:44,951 - pyskl - INFO - Epoch [127][400/2353] lr: 1.525e-03, eta: 6:51:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3350, loss: 1.3350 +2025-05-02 09:07:29,090 - pyskl - INFO - Epoch [127][500/2353] lr: 1.520e-03, eta: 6:50:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2602, loss: 1.2602 +2025-05-02 09:08:13,227 - pyskl - INFO - Epoch [127][600/2353] lr: 1.514e-03, eta: 6:49:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3487, loss: 1.3487 +2025-05-02 09:08:57,271 - pyskl - INFO - Epoch [127][700/2353] lr: 1.509e-03, eta: 6:48:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2424, loss: 1.2424 +2025-05-02 09:09:41,351 - pyskl - INFO - Epoch [127][800/2353] lr: 1.504e-03, eta: 6:48:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2810, loss: 1.2810 +2025-05-02 09:10:25,494 - pyskl - INFO - Epoch [127][900/2353] lr: 1.498e-03, eta: 6:47:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3105, loss: 1.3105 +2025-05-02 09:11:09,598 - pyskl - INFO - Epoch [127][1000/2353] lr: 1.493e-03, eta: 6:46:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3061, loss: 1.3061 +2025-05-02 09:11:53,692 - pyskl - INFO - Epoch [127][1100/2353] lr: 1.488e-03, eta: 6:45:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3251, loss: 1.3251 +2025-05-02 09:12:37,749 - pyskl - INFO - Epoch [127][1200/2353] lr: 1.483e-03, eta: 6:45:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3118, loss: 1.3118 +2025-05-02 09:13:21,816 - pyskl - INFO - Epoch [127][1300/2353] lr: 1.477e-03, eta: 6:44:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2419, loss: 1.2419 +2025-05-02 09:14:05,886 - pyskl - INFO - Epoch [127][1400/2353] lr: 1.472e-03, eta: 6:43:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3122, loss: 1.3122 +2025-05-02 09:14:50,010 - pyskl - INFO - Epoch [127][1500/2353] lr: 1.467e-03, eta: 6:43:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2900, loss: 1.2900 +2025-05-02 09:15:34,110 - pyskl - INFO - Epoch [127][1600/2353] lr: 1.462e-03, eta: 6:42:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2894, loss: 1.2894 +2025-05-02 09:16:18,193 - pyskl - INFO - Epoch [127][1700/2353] lr: 1.456e-03, eta: 6:41:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2748, loss: 1.2748 +2025-05-02 09:17:02,238 - pyskl - INFO - Epoch [127][1800/2353] lr: 1.451e-03, eta: 6:40:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2991, loss: 1.2991 +2025-05-02 09:17:46,246 - pyskl - INFO - Epoch [127][1900/2353] lr: 1.446e-03, eta: 6:40:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2824, loss: 1.2824 +2025-05-02 09:18:30,297 - pyskl - INFO - Epoch [127][2000/2353] lr: 1.441e-03, eta: 6:39:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2922, loss: 1.2922 +2025-05-02 09:19:14,385 - pyskl - INFO - Epoch [127][2100/2353] lr: 1.436e-03, eta: 6:38:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2716, loss: 1.2716 +2025-05-02 09:19:58,510 - pyskl - INFO - Epoch [127][2200/2353] lr: 1.430e-03, eta: 6:37:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3226, loss: 1.3226 +2025-05-02 09:20:42,650 - pyskl - INFO - Epoch [127][2300/2353] lr: 1.425e-03, eta: 6:37:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2807, loss: 1.2807 +2025-05-02 09:21:06,809 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-05-02 09:22:36,872 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 09:22:36,948 - pyskl - INFO - +top1_acc 0.9509 +top5_acc 0.9948 +2025-05-02 09:22:37,003 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_119.pth was removed +2025-05-02 09:22:38,104 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2025-05-02 09:22:38,105 - pyskl - INFO - Best top1_acc is 0.9509 at 127 epoch. +2025-05-02 09:22:38,107 - pyskl - INFO - Epoch(val) [127][1184] top1_acc: 0.9509, top5_acc: 0.9948 +2025-05-02 09:23:43,387 - pyskl - INFO - Epoch [128][100/2353] lr: 1.417e-03, eta: 6:36:03, time: 0.653, data_time: 0.210, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2739, loss: 1.2739 +2025-05-02 09:24:27,451 - pyskl - INFO - Epoch [128][200/2353] lr: 1.412e-03, eta: 6:35:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2849, loss: 1.2849 +2025-05-02 09:25:11,372 - pyskl - INFO - Epoch [128][300/2353] lr: 1.407e-03, eta: 6:34:35, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2977, loss: 1.2977 +2025-05-02 09:25:55,285 - pyskl - INFO - Epoch [128][400/2353] lr: 1.402e-03, eta: 6:33:51, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2848, loss: 1.2848 +2025-05-02 09:26:39,227 - pyskl - INFO - Epoch [128][500/2353] lr: 1.397e-03, eta: 6:33:07, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2739, loss: 1.2739 +2025-05-02 09:27:23,213 - pyskl - INFO - Epoch [128][600/2353] lr: 1.392e-03, eta: 6:32:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2570, loss: 1.2570 +2025-05-02 09:28:07,165 - pyskl - INFO - Epoch [128][700/2353] lr: 1.387e-03, eta: 6:31:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2722, loss: 1.2722 +2025-05-02 09:28:51,251 - pyskl - INFO - Epoch [128][800/2353] lr: 1.382e-03, eta: 6:30:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2582, loss: 1.2582 +2025-05-02 09:29:35,469 - pyskl - INFO - Epoch [128][900/2353] lr: 1.376e-03, eta: 6:30:11, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2867, loss: 1.2867 +2025-05-02 09:30:19,630 - pyskl - INFO - Epoch [128][1000/2353] lr: 1.371e-03, eta: 6:29:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2776, loss: 1.2776 +2025-05-02 09:31:03,766 - pyskl - INFO - Epoch [128][1100/2353] lr: 1.366e-03, eta: 6:28:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2845, loss: 1.2845 +2025-05-02 09:31:47,855 - pyskl - INFO - Epoch [128][1200/2353] lr: 1.361e-03, eta: 6:27:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3066, loss: 1.3066 +2025-05-02 09:32:31,842 - pyskl - INFO - Epoch [128][1300/2353] lr: 1.356e-03, eta: 6:27:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2827, loss: 1.2827 +2025-05-02 09:33:15,791 - pyskl - INFO - Epoch [128][1400/2353] lr: 1.351e-03, eta: 6:26:31, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2831, loss: 1.2831 +2025-05-02 09:33:59,787 - pyskl - INFO - Epoch [128][1500/2353] lr: 1.346e-03, eta: 6:25:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2783, loss: 1.2783 +2025-05-02 09:34:43,791 - pyskl - INFO - Epoch [128][1600/2353] lr: 1.341e-03, eta: 6:25:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2169, loss: 1.2169 +2025-05-02 09:35:27,766 - pyskl - INFO - Epoch [128][1700/2353] lr: 1.336e-03, eta: 6:24:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2468, loss: 1.2468 +2025-05-02 09:36:11,711 - pyskl - INFO - Epoch [128][1800/2353] lr: 1.331e-03, eta: 6:23:35, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2085, loss: 1.2085 +2025-05-02 09:36:55,718 - pyskl - INFO - Epoch [128][1900/2353] lr: 1.326e-03, eta: 6:22:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2847, loss: 1.2847 +2025-05-02 09:37:39,706 - pyskl - INFO - Epoch [128][2000/2353] lr: 1.321e-03, eta: 6:22:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2886, loss: 1.2886 +2025-05-02 09:38:23,670 - pyskl - INFO - Epoch [128][2100/2353] lr: 1.316e-03, eta: 6:21:23, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2490, loss: 1.2490 +2025-05-02 09:39:07,611 - pyskl - INFO - Epoch [128][2200/2353] lr: 1.311e-03, eta: 6:20:39, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3004, loss: 1.3004 +2025-05-02 09:39:51,606 - pyskl - INFO - Epoch [128][2300/2353] lr: 1.306e-03, eta: 6:19:55, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2518, loss: 1.2518 +2025-05-02 09:40:15,586 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-05-02 09:41:45,429 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 09:41:45,505 - pyskl - INFO - +top1_acc 0.9526 +top5_acc 0.9950 +2025-05-02 09:41:45,564 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_127.pth was removed +2025-05-02 09:41:46,682 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. +2025-05-02 09:41:46,683 - pyskl - INFO - Best top1_acc is 0.9526 at 128 epoch. +2025-05-02 09:41:46,687 - pyskl - INFO - Epoch(val) [128][1184] top1_acc: 0.9526, top5_acc: 0.9950 +2025-05-02 09:42:52,014 - pyskl - INFO - Epoch [129][100/2353] lr: 1.299e-03, eta: 6:18:48, time: 0.653, data_time: 0.213, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2767, loss: 1.2767 +2025-05-02 09:43:35,987 - pyskl - INFO - Epoch [129][200/2353] lr: 1.294e-03, eta: 6:18:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2615, loss: 1.2615 +2025-05-02 09:44:20,046 - pyskl - INFO - Epoch [129][300/2353] lr: 1.289e-03, eta: 6:17:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2604, loss: 1.2604 +2025-05-02 09:45:04,039 - pyskl - INFO - Epoch [129][400/2353] lr: 1.284e-03, eta: 6:16:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2138, loss: 1.2138 +2025-05-02 09:45:48,054 - pyskl - INFO - Epoch [129][500/2353] lr: 1.279e-03, eta: 6:15:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2676, loss: 1.2676 +2025-05-02 09:46:32,097 - pyskl - INFO - Epoch [129][600/2353] lr: 1.274e-03, eta: 6:15:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2451, loss: 1.2451 +2025-05-02 09:47:16,127 - pyskl - INFO - Epoch [129][700/2353] lr: 1.269e-03, eta: 6:14:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2266, loss: 1.2266 +2025-05-02 09:48:00,207 - pyskl - INFO - Epoch [129][800/2353] lr: 1.264e-03, eta: 6:13:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2371, loss: 1.2371 +2025-05-02 09:48:44,369 - pyskl - INFO - Epoch [129][900/2353] lr: 1.259e-03, eta: 6:12:56, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3106, loss: 1.3106 +2025-05-02 09:49:28,532 - pyskl - INFO - Epoch [129][1000/2353] lr: 1.255e-03, eta: 6:12:12, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2568, loss: 1.2568 +2025-05-02 09:50:12,606 - pyskl - INFO - Epoch [129][1100/2353] lr: 1.250e-03, eta: 6:11:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2428, loss: 1.2428 +2025-05-02 09:50:56,571 - pyskl - INFO - Epoch [129][1200/2353] lr: 1.245e-03, eta: 6:10:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2321, loss: 1.2321 +2025-05-02 09:51:40,570 - pyskl - INFO - Epoch [129][1300/2353] lr: 1.240e-03, eta: 6:10:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2541, loss: 1.2541 +2025-05-02 09:52:24,580 - pyskl - INFO - Epoch [129][1400/2353] lr: 1.235e-03, eta: 6:09:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2504, loss: 1.2504 +2025-05-02 09:53:08,586 - pyskl - INFO - Epoch [129][1500/2353] lr: 1.230e-03, eta: 6:08:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2423, loss: 1.2423 +2025-05-02 09:53:52,674 - pyskl - INFO - Epoch [129][1600/2353] lr: 1.226e-03, eta: 6:07:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2333, loss: 1.2333 +2025-05-02 09:54:36,758 - pyskl - INFO - Epoch [129][1700/2353] lr: 1.221e-03, eta: 6:07:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.3016, loss: 1.3016 +2025-05-02 09:55:20,762 - pyskl - INFO - Epoch [129][1800/2353] lr: 1.216e-03, eta: 6:06:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2683, loss: 1.2683 +2025-05-02 09:56:04,722 - pyskl - INFO - Epoch [129][1900/2353] lr: 1.211e-03, eta: 6:05:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2470, loss: 1.2470 +2025-05-02 09:56:48,750 - pyskl - INFO - Epoch [129][2000/2353] lr: 1.206e-03, eta: 6:04:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2619, loss: 1.2619 +2025-05-02 09:57:32,771 - pyskl - INFO - Epoch [129][2100/2353] lr: 1.202e-03, eta: 6:04:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2762, loss: 1.2762 +2025-05-02 09:58:16,826 - pyskl - INFO - Epoch [129][2200/2353] lr: 1.197e-03, eta: 6:03:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2666, loss: 1.2666 +2025-05-02 09:59:00,855 - pyskl - INFO - Epoch [129][2300/2353] lr: 1.192e-03, eta: 6:02:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2365, loss: 1.2365 +2025-05-02 09:59:24,887 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-05-02 10:00:54,631 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 10:00:54,707 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9950 +2025-05-02 10:00:54,769 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_128.pth was removed +2025-05-02 10:00:55,882 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2025-05-02 10:00:55,882 - pyskl - INFO - Best top1_acc is 0.9545 at 129 epoch. +2025-05-02 10:00:55,885 - pyskl - INFO - Epoch(val) [129][1184] top1_acc: 0.9545, top5_acc: 0.9950 +2025-05-02 10:02:00,604 - pyskl - INFO - Epoch [130][100/2353] lr: 1.185e-03, eta: 6:01:32, time: 0.647, data_time: 0.210, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2524, loss: 1.2524 +2025-05-02 10:02:44,411 - pyskl - INFO - Epoch [130][200/2353] lr: 1.180e-03, eta: 6:00:48, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1867, loss: 1.1867 +2025-05-02 10:03:28,415 - pyskl - INFO - Epoch [130][300/2353] lr: 1.176e-03, eta: 6:00:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2445, loss: 1.2445 +2025-05-02 10:04:12,459 - pyskl - INFO - Epoch [130][400/2353] lr: 1.171e-03, eta: 5:59:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3090, loss: 1.3090 +2025-05-02 10:04:56,228 - pyskl - INFO - Epoch [130][500/2353] lr: 1.166e-03, eta: 5:58:36, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2344, loss: 1.2344 +2025-05-02 10:05:40,149 - pyskl - INFO - Epoch [130][600/2353] lr: 1.161e-03, eta: 5:57:52, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2152, loss: 1.2152 +2025-05-02 10:06:24,264 - pyskl - INFO - Epoch [130][700/2353] lr: 1.157e-03, eta: 5:57:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2094, loss: 1.2094 +2025-05-02 10:07:08,331 - pyskl - INFO - Epoch [130][800/2353] lr: 1.152e-03, eta: 5:56:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2160, loss: 1.2160 +2025-05-02 10:07:52,488 - pyskl - INFO - Epoch [130][900/2353] lr: 1.147e-03, eta: 5:55:41, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2340, loss: 1.2340 +2025-05-02 10:08:36,895 - pyskl - INFO - Epoch [130][1000/2353] lr: 1.143e-03, eta: 5:54:57, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2289, loss: 1.2289 +2025-05-02 10:09:21,150 - pyskl - INFO - Epoch [130][1100/2353] lr: 1.138e-03, eta: 5:54:13, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2777, loss: 1.2777 +2025-05-02 10:10:05,287 - pyskl - INFO - Epoch [130][1200/2353] lr: 1.134e-03, eta: 5:53:29, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2302, loss: 1.2302 +2025-05-02 10:10:49,435 - pyskl - INFO - Epoch [130][1300/2353] lr: 1.129e-03, eta: 5:52:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1755, loss: 1.1755 +2025-05-02 10:11:33,647 - pyskl - INFO - Epoch [130][1400/2353] lr: 1.124e-03, eta: 5:52:01, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2847, loss: 1.2847 +2025-05-02 10:12:17,790 - pyskl - INFO - Epoch [130][1500/2353] lr: 1.120e-03, eta: 5:51:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2352, loss: 1.2352 +2025-05-02 10:13:01,838 - pyskl - INFO - Epoch [130][1600/2353] lr: 1.115e-03, eta: 5:50:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2509, loss: 1.2509 +2025-05-02 10:13:45,944 - pyskl - INFO - Epoch [130][1700/2353] lr: 1.110e-03, eta: 5:49:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2301, loss: 1.2301 +2025-05-02 10:14:30,045 - pyskl - INFO - Epoch [130][1800/2353] lr: 1.106e-03, eta: 5:49:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2158, loss: 1.2158 +2025-05-02 10:15:14,176 - pyskl - INFO - Epoch [130][1900/2353] lr: 1.101e-03, eta: 5:48:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1890, loss: 1.1890 +2025-05-02 10:15:58,268 - pyskl - INFO - Epoch [130][2000/2353] lr: 1.097e-03, eta: 5:47:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2621, loss: 1.2621 +2025-05-02 10:16:42,315 - pyskl - INFO - Epoch [130][2100/2353] lr: 1.092e-03, eta: 5:46:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2378, loss: 1.2378 +2025-05-02 10:17:26,420 - pyskl - INFO - Epoch [130][2200/2353] lr: 1.088e-03, eta: 5:46:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2198, loss: 1.2198 +2025-05-02 10:18:10,506 - pyskl - INFO - Epoch [130][2300/2353] lr: 1.083e-03, eta: 5:45:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1916, loss: 1.1916 +2025-05-02 10:18:34,609 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-05-02 10:20:04,561 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 10:20:04,637 - pyskl - INFO - +top1_acc 0.9543 +top5_acc 0.9939 +2025-05-02 10:20:04,641 - pyskl - INFO - Epoch(val) [130][1184] top1_acc: 0.9543, top5_acc: 0.9939 +2025-05-02 10:21:09,587 - pyskl - INFO - Epoch [131][100/2353] lr: 1.076e-03, eta: 5:44:17, time: 0.649, data_time: 0.209, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2288, loss: 1.2288 +2025-05-02 10:21:53,612 - pyskl - INFO - Epoch [131][200/2353] lr: 1.072e-03, eta: 5:43:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2665, loss: 1.2665 +2025-05-02 10:22:37,722 - pyskl - INFO - Epoch [131][300/2353] lr: 1.067e-03, eta: 5:42:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2288, loss: 1.2288 +2025-05-02 10:23:21,839 - pyskl - INFO - Epoch [131][400/2353] lr: 1.063e-03, eta: 5:42:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2574, loss: 1.2574 +2025-05-02 10:24:05,933 - pyskl - INFO - Epoch [131][500/2353] lr: 1.058e-03, eta: 5:41:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2924, loss: 1.2924 +2025-05-02 10:24:50,072 - pyskl - INFO - Epoch [131][600/2353] lr: 1.054e-03, eta: 5:40:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1902, loss: 1.1902 +2025-05-02 10:25:34,239 - pyskl - INFO - Epoch [131][700/2353] lr: 1.049e-03, eta: 5:39:53, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2021, loss: 1.2021 +2025-05-02 10:26:18,406 - pyskl - INFO - Epoch [131][800/2353] lr: 1.045e-03, eta: 5:39:10, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1870, loss: 1.1870 +2025-05-02 10:27:02,670 - pyskl - INFO - Epoch [131][900/2353] lr: 1.040e-03, eta: 5:38:26, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2295, loss: 1.2295 +2025-05-02 10:27:46,800 - pyskl - INFO - Epoch [131][1000/2353] lr: 1.036e-03, eta: 5:37:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2316, loss: 1.2316 +2025-05-02 10:28:30,977 - pyskl - INFO - Epoch [131][1100/2353] lr: 1.031e-03, eta: 5:36:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2420, loss: 1.2420 +2025-05-02 10:29:15,144 - pyskl - INFO - Epoch [131][1200/2353] lr: 1.027e-03, eta: 5:36:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2035, loss: 1.2035 +2025-05-02 10:29:59,370 - pyskl - INFO - Epoch [131][1300/2353] lr: 1.023e-03, eta: 5:35:30, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2313, loss: 1.2313 +2025-05-02 10:30:43,515 - pyskl - INFO - Epoch [131][1400/2353] lr: 1.018e-03, eta: 5:34:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2832, loss: 1.2832 +2025-05-02 10:31:27,651 - pyskl - INFO - Epoch [131][1500/2353] lr: 1.014e-03, eta: 5:34:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2588, loss: 1.2588 +2025-05-02 10:32:11,792 - pyskl - INFO - Epoch [131][1600/2353] lr: 1.009e-03, eta: 5:33:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2610, loss: 1.2610 +2025-05-02 10:32:55,956 - pyskl - INFO - Epoch [131][1700/2353] lr: 1.005e-03, eta: 5:32:34, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2019, loss: 1.2019 +2025-05-02 10:33:40,084 - pyskl - INFO - Epoch [131][1800/2353] lr: 1.001e-03, eta: 5:31:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2162, loss: 1.2162 +2025-05-02 10:34:24,257 - pyskl - INFO - Epoch [131][1900/2353] lr: 9.964e-04, eta: 5:31:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2165, loss: 1.2165 +2025-05-02 10:35:08,407 - pyskl - INFO - Epoch [131][2000/2353] lr: 9.920e-04, eta: 5:30:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2430, loss: 1.2430 +2025-05-02 10:35:52,559 - pyskl - INFO - Epoch [131][2100/2353] lr: 9.877e-04, eta: 5:29:38, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2131, loss: 1.2131 +2025-05-02 10:36:36,731 - pyskl - INFO - Epoch [131][2200/2353] lr: 9.834e-04, eta: 5:28:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2171, loss: 1.2171 +2025-05-02 10:37:21,031 - pyskl - INFO - Epoch [131][2300/2353] lr: 9.790e-04, eta: 5:28:10, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2028, loss: 1.2028 +2025-05-02 10:37:45,149 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-05-02 10:39:15,254 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 10:39:15,331 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9847 +2025-05-02 10:39:15,335 - pyskl - INFO - Epoch(val) [131][1184] top1_acc: 0.9393, top5_acc: 0.9847 +2025-05-02 10:40:20,760 - pyskl - INFO - Epoch [132][100/2353] lr: 9.724e-04, eta: 5:27:02, time: 0.654, data_time: 0.211, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2576, loss: 1.2576 +2025-05-02 10:41:05,181 - pyskl - INFO - Epoch [132][200/2353] lr: 9.681e-04, eta: 5:26:19, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2219, loss: 1.2219 +2025-05-02 10:41:49,514 - pyskl - INFO - Epoch [132][300/2353] lr: 9.639e-04, eta: 5:25:35, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2100, loss: 1.2100 +2025-05-02 10:42:33,578 - pyskl - INFO - Epoch [132][400/2353] lr: 9.596e-04, eta: 5:24:51, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1587, loss: 1.1587 +2025-05-02 10:43:17,707 - pyskl - INFO - Epoch [132][500/2353] lr: 9.553e-04, eta: 5:24:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2370, loss: 1.2370 +2025-05-02 10:44:01,889 - pyskl - INFO - Epoch [132][600/2353] lr: 9.510e-04, eta: 5:23:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2149, loss: 1.2149 +2025-05-02 10:44:45,925 - pyskl - INFO - Epoch [132][700/2353] lr: 9.468e-04, eta: 5:22:39, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2209, loss: 1.2209 +2025-05-02 10:45:30,046 - pyskl - INFO - Epoch [132][800/2353] lr: 9.426e-04, eta: 5:21:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2067, loss: 1.2067 +2025-05-02 10:46:14,135 - pyskl - INFO - Epoch [132][900/2353] lr: 9.383e-04, eta: 5:21:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2279, loss: 1.2279 +2025-05-02 10:46:58,284 - pyskl - INFO - Epoch [132][1000/2353] lr: 9.341e-04, eta: 5:20:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1805, loss: 1.1805 +2025-05-02 10:47:42,395 - pyskl - INFO - Epoch [132][1100/2353] lr: 9.299e-04, eta: 5:19:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2091, loss: 1.2091 +2025-05-02 10:48:26,490 - pyskl - INFO - Epoch [132][1200/2353] lr: 9.257e-04, eta: 5:18:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1772, loss: 1.1772 +2025-05-02 10:49:10,561 - pyskl - INFO - Epoch [132][1300/2353] lr: 9.215e-04, eta: 5:18:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2516, loss: 1.2516 +2025-05-02 10:49:54,596 - pyskl - INFO - Epoch [132][1400/2353] lr: 9.173e-04, eta: 5:17:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2135, loss: 1.2135 +2025-05-02 10:50:38,677 - pyskl - INFO - Epoch [132][1500/2353] lr: 9.131e-04, eta: 5:16:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2041, loss: 1.2041 +2025-05-02 10:51:22,830 - pyskl - INFO - Epoch [132][1600/2353] lr: 9.089e-04, eta: 5:16:03, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2319, loss: 1.2319 +2025-05-02 10:52:06,915 - pyskl - INFO - Epoch [132][1700/2353] lr: 9.048e-04, eta: 5:15:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1760, loss: 1.1760 +2025-05-02 10:52:51,018 - pyskl - INFO - Epoch [132][1800/2353] lr: 9.006e-04, eta: 5:14:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2015, loss: 1.2015 +2025-05-02 10:53:35,402 - pyskl - INFO - Epoch [132][1900/2353] lr: 8.965e-04, eta: 5:13:51, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2044, loss: 1.2044 +2025-05-02 10:54:19,747 - pyskl - INFO - Epoch [132][2000/2353] lr: 8.924e-04, eta: 5:13:07, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1870, loss: 1.1870 +2025-05-02 10:55:03,870 - pyskl - INFO - Epoch [132][2100/2353] lr: 8.882e-04, eta: 5:12:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2289, loss: 1.2289 +2025-05-02 10:55:47,987 - pyskl - INFO - Epoch [132][2200/2353] lr: 8.841e-04, eta: 5:11:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2077, loss: 1.2077 +2025-05-02 10:56:32,042 - pyskl - INFO - Epoch [132][2300/2353] lr: 8.800e-04, eta: 5:10:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2232, loss: 1.2232 +2025-05-02 10:56:56,177 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-05-02 10:58:25,858 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 10:58:25,934 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9944 +2025-05-02 10:58:25,994 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_129.pth was removed +2025-05-02 10:58:27,097 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. +2025-05-02 10:58:27,098 - pyskl - INFO - Best top1_acc is 0.9553 at 132 epoch. +2025-05-02 10:58:27,101 - pyskl - INFO - Epoch(val) [132][1184] top1_acc: 0.9553, top5_acc: 0.9944 +2025-05-02 10:59:32,424 - pyskl - INFO - Epoch [133][100/2353] lr: 8.737e-04, eta: 5:09:48, time: 0.653, data_time: 0.213, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1550, loss: 1.1550 +2025-05-02 11:00:16,410 - pyskl - INFO - Epoch [133][200/2353] lr: 8.697e-04, eta: 5:09:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1629, loss: 1.1629 +2025-05-02 11:01:00,397 - pyskl - INFO - Epoch [133][300/2353] lr: 8.656e-04, eta: 5:08:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2345, loss: 1.2345 +2025-05-02 11:01:44,476 - pyskl - INFO - Epoch [133][400/2353] lr: 8.615e-04, eta: 5:07:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1650, loss: 1.1650 +2025-05-02 11:02:28,572 - pyskl - INFO - Epoch [133][500/2353] lr: 8.575e-04, eta: 5:06:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1755, loss: 1.1755 +2025-05-02 11:03:12,527 - pyskl - INFO - Epoch [133][600/2353] lr: 8.534e-04, eta: 5:06:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2148, loss: 1.2148 +2025-05-02 11:03:56,495 - pyskl - INFO - Epoch [133][700/2353] lr: 8.494e-04, eta: 5:05:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1797, loss: 1.1797 +2025-05-02 11:04:40,336 - pyskl - INFO - Epoch [133][800/2353] lr: 8.454e-04, eta: 5:04:40, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1845, loss: 1.1845 +2025-05-02 11:05:24,436 - pyskl - INFO - Epoch [133][900/2353] lr: 8.413e-04, eta: 5:03:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2185, loss: 1.2185 +2025-05-02 11:06:08,401 - pyskl - INFO - Epoch [133][1000/2353] lr: 8.373e-04, eta: 5:03:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1785, loss: 1.1785 +2025-05-02 11:06:52,334 - pyskl - INFO - Epoch [133][1100/2353] lr: 8.333e-04, eta: 5:02:28, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1481, loss: 1.1481 +2025-05-02 11:07:36,284 - pyskl - INFO - Epoch [133][1200/2353] lr: 8.293e-04, eta: 5:01:44, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1797, loss: 1.1797 +2025-05-02 11:08:20,134 - pyskl - INFO - Epoch [133][1300/2353] lr: 8.254e-04, eta: 5:01:00, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1715, loss: 1.1715 +2025-05-02 11:09:04,001 - pyskl - INFO - Epoch [133][1400/2353] lr: 8.214e-04, eta: 5:00:16, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1829, loss: 1.1829 +2025-05-02 11:09:47,831 - pyskl - INFO - Epoch [133][1500/2353] lr: 8.174e-04, eta: 4:59:32, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1567, loss: 1.1567 +2025-05-02 11:10:31,807 - pyskl - INFO - Epoch [133][1600/2353] lr: 8.135e-04, eta: 4:58:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2045, loss: 1.2045 +2025-05-02 11:11:15,720 - pyskl - INFO - Epoch [133][1700/2353] lr: 8.095e-04, eta: 4:58:04, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1778, loss: 1.1778 +2025-05-02 11:11:59,731 - pyskl - INFO - Epoch [133][1800/2353] lr: 8.056e-04, eta: 4:57:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1879, loss: 1.1879 +2025-05-02 11:12:43,663 - pyskl - INFO - Epoch [133][1900/2353] lr: 8.017e-04, eta: 4:56:36, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1719, loss: 1.1719 +2025-05-02 11:13:27,552 - pyskl - INFO - Epoch [133][2000/2353] lr: 7.978e-04, eta: 4:55:52, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1588, loss: 1.1588 +2025-05-02 11:14:11,542 - pyskl - INFO - Epoch [133][2100/2353] lr: 7.939e-04, eta: 4:55:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1728, loss: 1.1728 +2025-05-02 11:14:55,514 - pyskl - INFO - Epoch [133][2200/2353] lr: 7.900e-04, eta: 4:54:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2091, loss: 1.2091 +2025-05-02 11:15:39,546 - pyskl - INFO - Epoch [133][2300/2353] lr: 7.861e-04, eta: 4:53:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1859, loss: 1.1859 +2025-05-02 11:16:03,525 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-05-02 11:17:33,377 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 11:17:33,455 - pyskl - INFO - +top1_acc 0.9573 +top5_acc 0.9948 +2025-05-02 11:17:33,513 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_132.pth was removed +2025-05-02 11:17:34,643 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-05-02 11:17:34,644 - pyskl - INFO - Best top1_acc is 0.9573 at 133 epoch. +2025-05-02 11:17:34,647 - pyskl - INFO - Epoch(val) [133][1184] top1_acc: 0.9573, top5_acc: 0.9948 +2025-05-02 11:18:39,590 - pyskl - INFO - Epoch [134][100/2353] lr: 7.801e-04, eta: 4:52:32, time: 0.649, data_time: 0.211, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1687, loss: 1.1687 +2025-05-02 11:19:23,595 - pyskl - INFO - Epoch [134][200/2353] lr: 7.763e-04, eta: 4:51:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1534, loss: 1.1534 +2025-05-02 11:20:07,639 - pyskl - INFO - Epoch [134][300/2353] lr: 7.724e-04, eta: 4:51:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1339, loss: 1.1339 +2025-05-02 11:20:51,790 - pyskl - INFO - Epoch [134][400/2353] lr: 7.686e-04, eta: 4:50:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1683, loss: 1.1683 +2025-05-02 11:21:35,947 - pyskl - INFO - Epoch [134][500/2353] lr: 7.647e-04, eta: 4:49:36, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2020, loss: 1.2020 +2025-05-02 11:22:20,075 - pyskl - INFO - Epoch [134][600/2353] lr: 7.609e-04, eta: 4:48:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1591, loss: 1.1591 +2025-05-02 11:23:04,115 - pyskl - INFO - Epoch [134][700/2353] lr: 7.571e-04, eta: 4:48:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1418, loss: 1.1418 +2025-05-02 11:23:48,110 - pyskl - INFO - Epoch [134][800/2353] lr: 7.533e-04, eta: 4:47:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1557, loss: 1.1557 +2025-05-02 11:24:32,119 - pyskl - INFO - Epoch [134][900/2353] lr: 7.495e-04, eta: 4:46:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1820, loss: 1.1820 +2025-05-02 11:25:16,203 - pyskl - INFO - Epoch [134][1000/2353] lr: 7.457e-04, eta: 4:45:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2119, loss: 1.2119 +2025-05-02 11:26:00,231 - pyskl - INFO - Epoch [134][1100/2353] lr: 7.419e-04, eta: 4:45:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1508, loss: 1.1508 +2025-05-02 11:26:44,329 - pyskl - INFO - Epoch [134][1200/2353] lr: 7.381e-04, eta: 4:44:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1378, loss: 1.1378 +2025-05-02 11:27:28,490 - pyskl - INFO - Epoch [134][1300/2353] lr: 7.344e-04, eta: 4:43:44, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1268, loss: 1.1268 +2025-05-02 11:28:12,584 - pyskl - INFO - Epoch [134][1400/2353] lr: 7.306e-04, eta: 4:43:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1858, loss: 1.1858 +2025-05-02 11:28:56,644 - pyskl - INFO - Epoch [134][1500/2353] lr: 7.269e-04, eta: 4:42:16, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1806, loss: 1.1806 +2025-05-02 11:29:40,647 - pyskl - INFO - Epoch [134][1600/2353] lr: 7.232e-04, eta: 4:41:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2076, loss: 1.2076 +2025-05-02 11:30:24,712 - pyskl - INFO - Epoch [134][1700/2353] lr: 7.194e-04, eta: 4:40:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1930, loss: 1.1930 +2025-05-02 11:31:08,845 - pyskl - INFO - Epoch [134][1800/2353] lr: 7.157e-04, eta: 4:40:04, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1814, loss: 1.1814 +2025-05-02 11:31:53,043 - pyskl - INFO - Epoch [134][1900/2353] lr: 7.120e-04, eta: 4:39:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1662, loss: 1.1662 +2025-05-02 11:32:37,435 - pyskl - INFO - Epoch [134][2000/2353] lr: 7.083e-04, eta: 4:38:37, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1342, loss: 1.1342 +2025-05-02 11:33:21,783 - pyskl - INFO - Epoch [134][2100/2353] lr: 7.046e-04, eta: 4:37:53, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1694, loss: 1.1694 +2025-05-02 11:34:06,198 - pyskl - INFO - Epoch [134][2200/2353] lr: 7.009e-04, eta: 4:37:09, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1748, loss: 1.1748 +2025-05-02 11:34:50,527 - pyskl - INFO - Epoch [134][2300/2353] lr: 6.973e-04, eta: 4:36:25, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2105, loss: 1.2105 +2025-05-02 11:35:14,604 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-05-02 11:36:44,285 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 11:36:44,363 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9952 +2025-05-02 11:36:44,367 - pyskl - INFO - Epoch(val) [134][1184] top1_acc: 0.9564, top5_acc: 0.9952 +2025-05-02 11:37:50,042 - pyskl - INFO - Epoch [135][100/2353] lr: 6.917e-04, eta: 4:35:17, time: 0.657, data_time: 0.214, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1972, loss: 1.1972 +2025-05-02 11:38:34,278 - pyskl - INFO - Epoch [135][200/2353] lr: 6.880e-04, eta: 4:34:33, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1820, loss: 1.1820 +2025-05-02 11:39:18,452 - pyskl - INFO - Epoch [135][300/2353] lr: 6.844e-04, eta: 4:33:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1722, loss: 1.1722 +2025-05-02 11:40:02,636 - pyskl - INFO - Epoch [135][400/2353] lr: 6.808e-04, eta: 4:33:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1215, loss: 1.1215 +2025-05-02 11:40:46,755 - pyskl - INFO - Epoch [135][500/2353] lr: 6.772e-04, eta: 4:32:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1938, loss: 1.1938 +2025-05-02 11:41:30,787 - pyskl - INFO - Epoch [135][600/2353] lr: 6.735e-04, eta: 4:31:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1458, loss: 1.1458 +2025-05-02 11:42:14,861 - pyskl - INFO - Epoch [135][700/2353] lr: 6.699e-04, eta: 4:30:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1830, loss: 1.1830 +2025-05-02 11:42:58,930 - pyskl - INFO - Epoch [135][800/2353] lr: 6.664e-04, eta: 4:30:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1997, loss: 1.1997 +2025-05-02 11:43:43,043 - pyskl - INFO - Epoch [135][900/2353] lr: 6.628e-04, eta: 4:29:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1846, loss: 1.1846 +2025-05-02 11:44:26,995 - pyskl - INFO - Epoch [135][1000/2353] lr: 6.592e-04, eta: 4:28:41, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1334, loss: 1.1334 +2025-05-02 11:45:10,959 - pyskl - INFO - Epoch [135][1100/2353] lr: 6.556e-04, eta: 4:27:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1620, loss: 1.1620 +2025-05-02 11:45:54,956 - pyskl - INFO - Epoch [135][1200/2353] lr: 6.521e-04, eta: 4:27:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1950, loss: 1.1950 +2025-05-02 11:46:39,002 - pyskl - INFO - Epoch [135][1300/2353] lr: 6.486e-04, eta: 4:26:29, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1608, loss: 1.1608 +2025-05-02 11:47:23,123 - pyskl - INFO - Epoch [135][1400/2353] lr: 6.450e-04, eta: 4:25:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1358, loss: 1.1358 +2025-05-02 11:48:07,167 - pyskl - INFO - Epoch [135][1500/2353] lr: 6.415e-04, eta: 4:25:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1750, loss: 1.1750 +2025-05-02 11:48:51,202 - pyskl - INFO - Epoch [135][1600/2353] lr: 6.380e-04, eta: 4:24:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1807, loss: 1.1807 +2025-05-02 11:49:35,256 - pyskl - INFO - Epoch [135][1700/2353] lr: 6.345e-04, eta: 4:23:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1737, loss: 1.1737 +2025-05-02 11:50:19,349 - pyskl - INFO - Epoch [135][1800/2353] lr: 6.310e-04, eta: 4:22:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1424, loss: 1.1424 +2025-05-02 11:51:03,539 - pyskl - INFO - Epoch [135][1900/2353] lr: 6.275e-04, eta: 4:22:06, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1532, loss: 1.1532 +2025-05-02 11:51:47,676 - pyskl - INFO - Epoch [135][2000/2353] lr: 6.240e-04, eta: 4:21:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1718, loss: 1.1718 +2025-05-02 11:52:31,805 - pyskl - INFO - Epoch [135][2100/2353] lr: 6.206e-04, eta: 4:20:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1788, loss: 1.1788 +2025-05-02 11:53:15,898 - pyskl - INFO - Epoch [135][2200/2353] lr: 6.171e-04, eta: 4:19:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1351, loss: 1.1351 +2025-05-02 11:53:59,940 - pyskl - INFO - Epoch [135][2300/2353] lr: 6.137e-04, eta: 4:19:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1902, loss: 1.1902 +2025-05-02 11:54:23,977 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-05-02 11:55:53,952 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 11:55:54,030 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9954 +2025-05-02 11:55:54,034 - pyskl - INFO - Epoch(val) [135][1184] top1_acc: 0.9564, top5_acc: 0.9954 +2025-05-02 11:56:59,583 - pyskl - INFO - Epoch [136][100/2353] lr: 6.084e-04, eta: 4:18:02, time: 0.655, data_time: 0.213, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1725, loss: 1.1725 +2025-05-02 11:57:43,606 - pyskl - INFO - Epoch [136][200/2353] lr: 6.050e-04, eta: 4:17:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1572, loss: 1.1572 +2025-05-02 11:58:27,655 - pyskl - INFO - Epoch [136][300/2353] lr: 6.016e-04, eta: 4:16:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1398, loss: 1.1398 +2025-05-02 11:59:11,690 - pyskl - INFO - Epoch [136][400/2353] lr: 5.982e-04, eta: 4:15:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1593, loss: 1.1593 +2025-05-02 11:59:55,587 - pyskl - INFO - Epoch [136][500/2353] lr: 5.948e-04, eta: 4:15:06, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2042, loss: 1.2042 +2025-05-02 12:00:39,515 - pyskl - INFO - Epoch [136][600/2353] lr: 5.914e-04, eta: 4:14:22, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1319, loss: 1.1319 +2025-05-02 12:01:23,456 - pyskl - INFO - Epoch [136][700/2353] lr: 5.880e-04, eta: 4:13:38, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1510, loss: 1.1510 +2025-05-02 12:02:07,408 - pyskl - INFO - Epoch [136][800/2353] lr: 5.846e-04, eta: 4:12:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1510, loss: 1.1510 +2025-05-02 12:02:51,339 - pyskl - INFO - Epoch [136][900/2353] lr: 5.813e-04, eta: 4:12:10, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1882, loss: 1.1882 +2025-05-02 12:03:35,455 - pyskl - INFO - Epoch [136][1000/2353] lr: 5.779e-04, eta: 4:11:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1478, loss: 1.1478 +2025-05-02 12:04:19,415 - pyskl - INFO - Epoch [136][1100/2353] lr: 5.746e-04, eta: 4:10:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1088, loss: 1.1088 +2025-05-02 12:05:03,420 - pyskl - INFO - Epoch [136][1200/2353] lr: 5.712e-04, eta: 4:09:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1790, loss: 1.1790 +2025-05-02 12:05:47,484 - pyskl - INFO - Epoch [136][1300/2353] lr: 5.679e-04, eta: 4:09:14, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1572, loss: 1.1572 +2025-05-02 12:06:31,014 - pyskl - INFO - Epoch [136][1400/2353] lr: 5.646e-04, eta: 4:08:30, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1737, loss: 1.1737 +2025-05-02 12:07:14,647 - pyskl - INFO - Epoch [136][1500/2353] lr: 5.613e-04, eta: 4:07:46, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1718, loss: 1.1718 +2025-05-02 12:07:58,582 - pyskl - INFO - Epoch [136][1600/2353] lr: 5.580e-04, eta: 4:07:02, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1802, loss: 1.1802 +2025-05-02 12:08:42,616 - pyskl - INFO - Epoch [136][1700/2353] lr: 5.547e-04, eta: 4:06:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1629, loss: 1.1629 +2025-05-02 12:09:26,640 - pyskl - INFO - Epoch [136][1800/2353] lr: 5.515e-04, eta: 4:05:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1472, loss: 1.1472 +2025-05-02 12:10:10,796 - pyskl - INFO - Epoch [136][1900/2353] lr: 5.482e-04, eta: 4:04:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1336, loss: 1.1336 +2025-05-02 12:10:54,879 - pyskl - INFO - Epoch [136][2000/2353] lr: 5.449e-04, eta: 4:04:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1223, loss: 1.1223 +2025-05-02 12:11:38,958 - pyskl - INFO - Epoch [136][2100/2353] lr: 5.417e-04, eta: 4:03:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1123, loss: 1.1123 +2025-05-02 12:12:22,959 - pyskl - INFO - Epoch [136][2200/2353] lr: 5.385e-04, eta: 4:02:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1539, loss: 1.1539 +2025-05-02 12:13:06,948 - pyskl - INFO - Epoch [136][2300/2353] lr: 5.352e-04, eta: 4:01:54, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1547, loss: 1.1547 +2025-05-02 12:13:30,920 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-05-02 12:15:01,002 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 12:15:01,079 - pyskl - INFO - +top1_acc 0.9570 +top5_acc 0.9946 +2025-05-02 12:15:01,082 - pyskl - INFO - Epoch(val) [136][1184] top1_acc: 0.9570, top5_acc: 0.9946 +2025-05-02 12:16:06,459 - pyskl - INFO - Epoch [137][100/2353] lr: 5.303e-04, eta: 4:00:47, time: 0.654, data_time: 0.213, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1170, loss: 1.1170 +2025-05-02 12:16:50,519 - pyskl - INFO - Epoch [137][200/2353] lr: 5.271e-04, eta: 4:00:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1031, loss: 1.1031 +2025-05-02 12:17:34,572 - pyskl - INFO - Epoch [137][300/2353] lr: 5.239e-04, eta: 3:59:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1405, loss: 1.1405 +2025-05-02 12:18:18,524 - pyskl - INFO - Epoch [137][400/2353] lr: 5.208e-04, eta: 3:58:35, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1655, loss: 1.1655 +2025-05-02 12:19:02,523 - pyskl - INFO - Epoch [137][500/2353] lr: 5.176e-04, eta: 3:57:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1277, loss: 1.1277 +2025-05-02 12:19:46,557 - pyskl - INFO - Epoch [137][600/2353] lr: 5.144e-04, eta: 3:57:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1455, loss: 1.1455 +2025-05-02 12:20:30,614 - pyskl - INFO - Epoch [137][700/2353] lr: 5.113e-04, eta: 3:56:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1405, loss: 1.1405 +2025-05-02 12:21:14,678 - pyskl - INFO - Epoch [137][800/2353] lr: 5.081e-04, eta: 3:55:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1783, loss: 1.1783 +2025-05-02 12:21:58,822 - pyskl - INFO - Epoch [137][900/2353] lr: 5.050e-04, eta: 3:54:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1323, loss: 1.1323 +2025-05-02 12:22:42,907 - pyskl - INFO - Epoch [137][1000/2353] lr: 5.019e-04, eta: 3:54:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1542, loss: 1.1542 +2025-05-02 12:23:27,126 - pyskl - INFO - Epoch [137][1100/2353] lr: 4.987e-04, eta: 3:53:27, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1410, loss: 1.1410 +2025-05-02 12:24:11,116 - pyskl - INFO - Epoch [137][1200/2353] lr: 4.956e-04, eta: 3:52:43, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1607, loss: 1.1607 +2025-05-02 12:24:55,051 - pyskl - INFO - Epoch [137][1300/2353] lr: 4.925e-04, eta: 3:51:59, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1332, loss: 1.1332 +2025-05-02 12:25:39,218 - pyskl - INFO - Epoch [137][1400/2353] lr: 4.894e-04, eta: 3:51:15, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1160, loss: 1.1160 +2025-05-02 12:26:23,231 - pyskl - INFO - Epoch [137][1500/2353] lr: 4.864e-04, eta: 3:50:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1523, loss: 1.1523 +2025-05-02 12:27:07,274 - pyskl - INFO - Epoch [137][1600/2353] lr: 4.833e-04, eta: 3:49:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1370, loss: 1.1370 +2025-05-02 12:27:51,189 - pyskl - INFO - Epoch [137][1700/2353] lr: 4.802e-04, eta: 3:49:03, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1813, loss: 1.1813 +2025-05-02 12:28:35,463 - pyskl - INFO - Epoch [137][1800/2353] lr: 4.772e-04, eta: 3:48:19, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1115, loss: 1.1115 +2025-05-02 12:29:19,528 - pyskl - INFO - Epoch [137][1900/2353] lr: 4.742e-04, eta: 3:47:35, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1391, loss: 1.1391 +2025-05-02 12:30:03,562 - pyskl - INFO - Epoch [137][2000/2353] lr: 4.711e-04, eta: 3:46:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 1.1522, loss: 1.1522 +2025-05-02 12:30:47,599 - pyskl - INFO - Epoch [137][2100/2353] lr: 4.681e-04, eta: 3:46:07, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1465, loss: 1.1465 +2025-05-02 12:31:31,655 - pyskl - INFO - Epoch [137][2200/2353] lr: 4.651e-04, eta: 3:45:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1556, loss: 1.1556 +2025-05-02 12:32:15,747 - pyskl - INFO - Epoch [137][2300/2353] lr: 4.621e-04, eta: 3:44:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1032, loss: 1.1032 +2025-05-02 12:32:39,801 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-05-02 12:34:09,588 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 12:34:09,665 - pyskl - INFO - +top1_acc 0.9572 +top5_acc 0.9952 +2025-05-02 12:34:09,669 - pyskl - INFO - Epoch(val) [137][1184] top1_acc: 0.9572, top5_acc: 0.9952 +2025-05-02 12:35:15,238 - pyskl - INFO - Epoch [138][100/2353] lr: 4.575e-04, eta: 3:43:32, time: 0.656, data_time: 0.213, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1293, loss: 1.1293 +2025-05-02 12:35:59,363 - pyskl - INFO - Epoch [138][200/2353] lr: 4.545e-04, eta: 3:42:48, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1434, loss: 1.1434 +2025-05-02 12:36:43,556 - pyskl - INFO - Epoch [138][300/2353] lr: 4.516e-04, eta: 3:42:04, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1017, loss: 1.1017 +2025-05-02 12:37:27,792 - pyskl - INFO - Epoch [138][400/2353] lr: 4.486e-04, eta: 3:41:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1556, loss: 1.1556 +2025-05-02 12:38:11,648 - pyskl - INFO - Epoch [138][500/2353] lr: 4.457e-04, eta: 3:40:36, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1187, loss: 1.1187 +2025-05-02 12:38:55,623 - pyskl - INFO - Epoch [138][600/2353] lr: 4.427e-04, eta: 3:39:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1182, loss: 1.1182 +2025-05-02 12:39:39,726 - pyskl - INFO - Epoch [138][700/2353] lr: 4.398e-04, eta: 3:39:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0954, loss: 1.0954 +2025-05-02 12:40:23,785 - pyskl - INFO - Epoch [138][800/2353] lr: 4.369e-04, eta: 3:38:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1521, loss: 1.1521 +2025-05-02 12:41:07,887 - pyskl - INFO - Epoch [138][900/2353] lr: 4.340e-04, eta: 3:37:40, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1398, loss: 1.1398 +2025-05-02 12:41:51,891 - pyskl - INFO - Epoch [138][1000/2353] lr: 4.311e-04, eta: 3:36:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1276, loss: 1.1276 +2025-05-02 12:42:35,922 - pyskl - INFO - Epoch [138][1100/2353] lr: 4.282e-04, eta: 3:36:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1390, loss: 1.1390 +2025-05-02 12:43:19,912 - pyskl - INFO - Epoch [138][1200/2353] lr: 4.253e-04, eta: 3:35:28, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1331, loss: 1.1331 +2025-05-02 12:44:03,937 - pyskl - INFO - Epoch [138][1300/2353] lr: 4.224e-04, eta: 3:34:44, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1388, loss: 1.1388 +2025-05-02 12:44:47,995 - pyskl - INFO - Epoch [138][1400/2353] lr: 4.195e-04, eta: 3:34:00, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1201, loss: 1.1201 +2025-05-02 12:45:32,232 - pyskl - INFO - Epoch [138][1500/2353] lr: 4.167e-04, eta: 3:33:16, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1339, loss: 1.1339 +2025-05-02 12:46:16,237 - pyskl - INFO - Epoch [138][1600/2353] lr: 4.138e-04, eta: 3:32:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0892, loss: 1.0892 +2025-05-02 12:47:00,287 - pyskl - INFO - Epoch [138][1700/2353] lr: 4.110e-04, eta: 3:31:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1597, loss: 1.1597 +2025-05-02 12:47:44,255 - pyskl - INFO - Epoch [138][1800/2353] lr: 4.082e-04, eta: 3:31:04, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1820, loss: 1.1820 +2025-05-02 12:48:28,470 - pyskl - INFO - Epoch [138][1900/2353] lr: 4.054e-04, eta: 3:30:20, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1004, loss: 1.1004 +2025-05-02 12:49:12,563 - pyskl - INFO - Epoch [138][2000/2353] lr: 4.026e-04, eta: 3:29:36, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0981, loss: 1.0981 +2025-05-02 12:49:56,620 - pyskl - INFO - Epoch [138][2100/2353] lr: 3.998e-04, eta: 3:28:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1557, loss: 1.1557 +2025-05-02 12:50:40,663 - pyskl - INFO - Epoch [138][2200/2353] lr: 3.970e-04, eta: 3:28:08, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1339, loss: 1.1339 +2025-05-02 12:51:24,755 - pyskl - INFO - Epoch [138][2300/2353] lr: 3.942e-04, eta: 3:27:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1590, loss: 1.1590 +2025-05-02 12:51:48,747 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-05-02 12:53:18,864 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 12:53:18,944 - pyskl - INFO - +top1_acc 0.9582 +top5_acc 0.9953 +2025-05-02 12:53:19,002 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_133.pth was removed +2025-05-02 12:53:20,102 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2025-05-02 12:53:20,103 - pyskl - INFO - Best top1_acc is 0.9582 at 138 epoch. +2025-05-02 12:53:20,106 - pyskl - INFO - Epoch(val) [138][1184] top1_acc: 0.9582, top5_acc: 0.9953 +2025-05-02 12:54:25,456 - pyskl - INFO - Epoch [139][100/2353] lr: 3.900e-04, eta: 3:26:17, time: 0.653, data_time: 0.213, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1480, loss: 1.1480 +2025-05-02 12:55:09,710 - pyskl - INFO - Epoch [139][200/2353] lr: 3.872e-04, eta: 3:25:33, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1465, loss: 1.1465 +2025-05-02 12:55:53,870 - pyskl - INFO - Epoch [139][300/2353] lr: 3.845e-04, eta: 3:24:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1175, loss: 1.1175 +2025-05-02 12:56:37,905 - pyskl - INFO - Epoch [139][400/2353] lr: 3.817e-04, eta: 3:24:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1036, loss: 1.1036 +2025-05-02 12:57:21,955 - pyskl - INFO - Epoch [139][500/2353] lr: 3.790e-04, eta: 3:23:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1433, loss: 1.1433 +2025-05-02 12:58:06,006 - pyskl - INFO - Epoch [139][600/2353] lr: 3.763e-04, eta: 3:22:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1421, loss: 1.1421 +2025-05-02 12:58:50,114 - pyskl - INFO - Epoch [139][700/2353] lr: 3.736e-04, eta: 3:21:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1297, loss: 1.1297 +2025-05-02 12:59:34,233 - pyskl - INFO - Epoch [139][800/2353] lr: 3.709e-04, eta: 3:21:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1279, loss: 1.1279 +2025-05-02 13:00:18,339 - pyskl - INFO - Epoch [139][900/2353] lr: 3.682e-04, eta: 3:20:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1144, loss: 1.1144 +2025-05-02 13:01:02,466 - pyskl - INFO - Epoch [139][1000/2353] lr: 3.655e-04, eta: 3:19:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1240, loss: 1.1240 +2025-05-02 13:01:46,434 - pyskl - INFO - Epoch [139][1100/2353] lr: 3.629e-04, eta: 3:18:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1050, loss: 1.1050 +2025-05-02 13:02:30,443 - pyskl - INFO - Epoch [139][1200/2353] lr: 3.602e-04, eta: 3:18:13, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1537, loss: 1.1537 +2025-05-02 13:03:14,271 - pyskl - INFO - Epoch [139][1300/2353] lr: 3.576e-04, eta: 3:17:29, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1258, loss: 1.1258 +2025-05-02 13:03:58,028 - pyskl - INFO - Epoch [139][1400/2353] lr: 3.549e-04, eta: 3:16:45, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1195, loss: 1.1195 +2025-05-02 13:04:41,834 - pyskl - INFO - Epoch [139][1500/2353] lr: 3.523e-04, eta: 3:16:01, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0995, loss: 1.0995 +2025-05-02 13:05:25,840 - pyskl - INFO - Epoch [139][1600/2353] lr: 3.497e-04, eta: 3:15:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1577, loss: 1.1577 +2025-05-02 13:06:09,926 - pyskl - INFO - Epoch [139][1700/2353] lr: 3.471e-04, eta: 3:14:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1062, loss: 1.1062 +2025-05-02 13:06:54,115 - pyskl - INFO - Epoch [139][1800/2353] lr: 3.445e-04, eta: 3:13:49, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1464, loss: 1.1464 +2025-05-02 13:07:38,154 - pyskl - INFO - Epoch [139][1900/2353] lr: 3.419e-04, eta: 3:13:05, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1287, loss: 1.1287 +2025-05-02 13:08:22,277 - pyskl - INFO - Epoch [139][2000/2353] lr: 3.393e-04, eta: 3:12:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0850, loss: 1.0850 +2025-05-02 13:09:06,318 - pyskl - INFO - Epoch [139][2100/2353] lr: 3.367e-04, eta: 3:11:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0715, loss: 1.0715 +2025-05-02 13:09:50,325 - pyskl - INFO - Epoch [139][2200/2353] lr: 3.342e-04, eta: 3:10:53, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1517, loss: 1.1517 +2025-05-02 13:10:34,393 - pyskl - INFO - Epoch [139][2300/2353] lr: 3.316e-04, eta: 3:10:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1119, loss: 1.1119 +2025-05-02 13:10:58,452 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-05-02 13:12:28,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 13:12:29,052 - pyskl - INFO - +top1_acc 0.9454 +top5_acc 0.9913 +2025-05-02 13:12:29,055 - pyskl - INFO - Epoch(val) [139][1184] top1_acc: 0.9454, top5_acc: 0.9913 +2025-05-02 13:13:34,779 - pyskl - INFO - Epoch [140][100/2353] lr: 3.278e-04, eta: 3:09:01, time: 0.657, data_time: 0.217, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1265, loss: 1.1265 +2025-05-02 13:14:18,762 - pyskl - INFO - Epoch [140][200/2353] lr: 3.252e-04, eta: 3:08:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1037, loss: 1.1037 +2025-05-02 13:15:02,811 - pyskl - INFO - Epoch [140][300/2353] lr: 3.227e-04, eta: 3:07:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1014, loss: 1.1014 +2025-05-02 13:15:46,830 - pyskl - INFO - Epoch [140][400/2353] lr: 3.202e-04, eta: 3:06:49, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1190, loss: 1.1190 +2025-05-02 13:16:30,891 - pyskl - INFO - Epoch [140][500/2353] lr: 3.177e-04, eta: 3:06:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1168, loss: 1.1168 +2025-05-02 13:17:14,882 - pyskl - INFO - Epoch [140][600/2353] lr: 3.152e-04, eta: 3:05:21, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1401, loss: 1.1401 +2025-05-02 13:17:58,882 - pyskl - INFO - Epoch [140][700/2353] lr: 3.127e-04, eta: 3:04:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0901, loss: 1.0901 +2025-05-02 13:18:42,974 - pyskl - INFO - Epoch [140][800/2353] lr: 3.103e-04, eta: 3:03:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1253, loss: 1.1253 +2025-05-02 13:19:26,963 - pyskl - INFO - Epoch [140][900/2353] lr: 3.078e-04, eta: 3:03:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1268, loss: 1.1268 +2025-05-02 13:20:10,883 - pyskl - INFO - Epoch [140][1000/2353] lr: 3.054e-04, eta: 3:02:26, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1239, loss: 1.1239 +2025-05-02 13:20:54,863 - pyskl - INFO - Epoch [140][1100/2353] lr: 3.029e-04, eta: 3:01:42, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1114, loss: 1.1114 +2025-05-02 13:21:38,846 - pyskl - INFO - Epoch [140][1200/2353] lr: 3.005e-04, eta: 3:00:58, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0809, loss: 1.0809 +2025-05-02 13:22:22,849 - pyskl - INFO - Epoch [140][1300/2353] lr: 2.981e-04, eta: 3:00:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0884, loss: 1.0884 +2025-05-02 13:23:06,715 - pyskl - INFO - Epoch [140][1400/2353] lr: 2.957e-04, eta: 2:59:30, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0677, loss: 1.0677 +2025-05-02 13:23:50,720 - pyskl - INFO - Epoch [140][1500/2353] lr: 2.933e-04, eta: 2:58:46, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1216, loss: 1.1216 +2025-05-02 13:24:34,749 - pyskl - INFO - Epoch [140][1600/2353] lr: 2.909e-04, eta: 2:58:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1172, loss: 1.1172 +2025-05-02 13:25:18,733 - pyskl - INFO - Epoch [140][1700/2353] lr: 2.885e-04, eta: 2:57:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1123, loss: 1.1123 +2025-05-02 13:26:02,871 - pyskl - INFO - Epoch [140][1800/2353] lr: 2.861e-04, eta: 2:56:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1318, loss: 1.1318 +2025-05-02 13:26:46,995 - pyskl - INFO - Epoch [140][1900/2353] lr: 2.838e-04, eta: 2:55:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1280, loss: 1.1280 +2025-05-02 13:27:31,084 - pyskl - INFO - Epoch [140][2000/2353] lr: 2.814e-04, eta: 2:55:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1402, loss: 1.1402 +2025-05-02 13:28:15,173 - pyskl - INFO - Epoch [140][2100/2353] lr: 2.791e-04, eta: 2:54:22, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0828, loss: 1.0828 +2025-05-02 13:28:59,304 - pyskl - INFO - Epoch [140][2200/2353] lr: 2.767e-04, eta: 2:53:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1167, loss: 1.1167 +2025-05-02 13:29:43,371 - pyskl - INFO - Epoch [140][2300/2353] lr: 2.744e-04, eta: 2:52:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1087, loss: 1.1087 +2025-05-02 13:30:07,469 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-05-02 13:31:37,578 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 13:31:37,654 - pyskl - INFO - +top1_acc 0.9595 +top5_acc 0.9952 +2025-05-02 13:31:37,712 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_138.pth was removed +2025-05-02 13:31:38,831 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_140.pth. +2025-05-02 13:31:38,832 - pyskl - INFO - Best top1_acc is 0.9595 at 140 epoch. +2025-05-02 13:31:38,835 - pyskl - INFO - Epoch(val) [140][1184] top1_acc: 0.9595, top5_acc: 0.9952 +2025-05-02 13:32:43,930 - pyskl - INFO - Epoch [141][100/2353] lr: 2.709e-04, eta: 2:51:46, time: 0.651, data_time: 0.212, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1165, loss: 1.1165 +2025-05-02 13:33:27,896 - pyskl - INFO - Epoch [141][200/2353] lr: 2.686e-04, eta: 2:51:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1188, loss: 1.1188 +2025-05-02 13:34:12,011 - pyskl - INFO - Epoch [141][300/2353] lr: 2.663e-04, eta: 2:50:18, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1003, loss: 1.1003 +2025-05-02 13:34:56,099 - pyskl - INFO - Epoch [141][400/2353] lr: 2.640e-04, eta: 2:49:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1039, loss: 1.1039 +2025-05-02 13:35:40,218 - pyskl - INFO - Epoch [141][500/2353] lr: 2.617e-04, eta: 2:48:50, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1030, loss: 1.1030 +2025-05-02 13:36:24,280 - pyskl - INFO - Epoch [141][600/2353] lr: 2.595e-04, eta: 2:48:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1311, loss: 1.1311 +2025-05-02 13:37:08,442 - pyskl - INFO - Epoch [141][700/2353] lr: 2.572e-04, eta: 2:47:22, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1127, loss: 1.1127 +2025-05-02 13:37:52,524 - pyskl - INFO - Epoch [141][800/2353] lr: 2.550e-04, eta: 2:46:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0978, loss: 1.0978 +2025-05-02 13:38:36,636 - pyskl - INFO - Epoch [141][900/2353] lr: 2.528e-04, eta: 2:45:54, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1262, loss: 1.1262 +2025-05-02 13:39:20,720 - pyskl - INFO - Epoch [141][1000/2353] lr: 2.505e-04, eta: 2:45:10, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1136, loss: 1.1136 +2025-05-02 13:40:04,851 - pyskl - INFO - Epoch [141][1100/2353] lr: 2.483e-04, eta: 2:44:26, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1118, loss: 1.1118 +2025-05-02 13:40:48,970 - pyskl - INFO - Epoch [141][1200/2353] lr: 2.461e-04, eta: 2:43:42, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1180, loss: 1.1180 +2025-05-02 13:41:33,057 - pyskl - INFO - Epoch [141][1300/2353] lr: 2.439e-04, eta: 2:42:58, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1217, loss: 1.1217 +2025-05-02 13:42:17,099 - pyskl - INFO - Epoch [141][1400/2353] lr: 2.417e-04, eta: 2:42:14, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0774, loss: 1.0774 +2025-05-02 13:43:01,350 - pyskl - INFO - Epoch [141][1500/2353] lr: 2.396e-04, eta: 2:41:30, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1167, loss: 1.1167 +2025-05-02 13:43:45,468 - pyskl - INFO - Epoch [141][1600/2353] lr: 2.374e-04, eta: 2:40:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1209, loss: 1.1209 +2025-05-02 13:44:29,759 - pyskl - INFO - Epoch [141][1700/2353] lr: 2.353e-04, eta: 2:40:03, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1303, loss: 1.1303 +2025-05-02 13:45:13,991 - pyskl - INFO - Epoch [141][1800/2353] lr: 2.331e-04, eta: 2:39:19, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1097, loss: 1.1097 +2025-05-02 13:45:58,188 - pyskl - INFO - Epoch [141][1900/2353] lr: 2.310e-04, eta: 2:38:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0549, loss: 1.0549 +2025-05-02 13:46:42,385 - pyskl - INFO - Epoch [141][2000/2353] lr: 2.289e-04, eta: 2:37:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0967, loss: 1.0967 +2025-05-02 13:47:26,625 - pyskl - INFO - Epoch [141][2100/2353] lr: 2.267e-04, eta: 2:37:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0830, loss: 1.0830 +2025-05-02 13:48:10,778 - pyskl - INFO - Epoch [141][2200/2353] lr: 2.246e-04, eta: 2:36:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0829, loss: 1.0829 +2025-05-02 13:48:54,966 - pyskl - INFO - Epoch [141][2300/2353] lr: 2.225e-04, eta: 2:35:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0881, loss: 1.0881 +2025-05-02 13:49:19,135 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-05-02 13:50:48,782 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 13:50:48,859 - pyskl - INFO - +top1_acc 0.9580 +top5_acc 0.9952 +2025-05-02 13:50:48,862 - pyskl - INFO - Epoch(val) [141][1184] top1_acc: 0.9580, top5_acc: 0.9952 +2025-05-02 13:51:53,901 - pyskl - INFO - Epoch [142][100/2353] lr: 2.194e-04, eta: 2:34:31, time: 0.650, data_time: 0.212, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1328, loss: 1.1328 +2025-05-02 13:52:37,898 - pyskl - INFO - Epoch [142][200/2353] lr: 2.173e-04, eta: 2:33:47, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0772, loss: 1.0772 +2025-05-02 13:53:21,863 - pyskl - INFO - Epoch [142][300/2353] lr: 2.152e-04, eta: 2:33:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1366, loss: 1.1366 +2025-05-02 13:54:05,916 - pyskl - INFO - Epoch [142][400/2353] lr: 2.132e-04, eta: 2:32:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0728, loss: 1.0728 +2025-05-02 13:54:50,073 - pyskl - INFO - Epoch [142][500/2353] lr: 2.111e-04, eta: 2:31:35, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0954, loss: 1.0954 +2025-05-02 13:55:34,252 - pyskl - INFO - Epoch [142][600/2353] lr: 2.091e-04, eta: 2:30:51, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0869, loss: 1.0869 +2025-05-02 13:56:18,428 - pyskl - INFO - Epoch [142][700/2353] lr: 2.071e-04, eta: 2:30:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0734, loss: 1.0734 +2025-05-02 13:57:02,587 - pyskl - INFO - Epoch [142][800/2353] lr: 2.051e-04, eta: 2:29:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0624, loss: 1.0624 +2025-05-02 13:57:46,678 - pyskl - INFO - Epoch [142][900/2353] lr: 2.031e-04, eta: 2:28:39, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1069, loss: 1.1069 +2025-05-02 13:58:30,758 - pyskl - INFO - Epoch [142][1000/2353] lr: 2.011e-04, eta: 2:27:55, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1234, loss: 1.1234 +2025-05-02 13:59:14,738 - pyskl - INFO - Epoch [142][1100/2353] lr: 1.991e-04, eta: 2:27:11, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1242, loss: 1.1242 +2025-05-02 13:59:58,798 - pyskl - INFO - Epoch [142][1200/2353] lr: 1.971e-04, eta: 2:26:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0657, loss: 1.0657 +2025-05-02 14:00:42,859 - pyskl - INFO - Epoch [142][1300/2353] lr: 1.951e-04, eta: 2:25:43, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0656, loss: 1.0656 +2025-05-02 14:01:27,090 - pyskl - INFO - Epoch [142][1400/2353] lr: 1.932e-04, eta: 2:24:59, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0933, loss: 1.0933 +2025-05-02 14:02:11,236 - pyskl - INFO - Epoch [142][1500/2353] lr: 1.913e-04, eta: 2:24:15, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1317, loss: 1.1317 +2025-05-02 14:02:55,366 - pyskl - INFO - Epoch [142][1600/2353] lr: 1.893e-04, eta: 2:23:31, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0866, loss: 1.0866 +2025-05-02 14:03:39,502 - pyskl - INFO - Epoch [142][1700/2353] lr: 1.874e-04, eta: 2:22:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0754, loss: 1.0754 +2025-05-02 14:04:23,583 - pyskl - INFO - Epoch [142][1800/2353] lr: 1.855e-04, eta: 2:22:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0962, loss: 1.0962 +2025-05-02 14:05:07,698 - pyskl - INFO - Epoch [142][1900/2353] lr: 1.836e-04, eta: 2:21:20, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1000, loss: 1.1000 +2025-05-02 14:05:52,071 - pyskl - INFO - Epoch [142][2000/2353] lr: 1.817e-04, eta: 2:20:36, time: 0.444, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0947, loss: 1.0947 +2025-05-02 14:06:36,350 - pyskl - INFO - Epoch [142][2100/2353] lr: 1.798e-04, eta: 2:19:52, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0900, loss: 1.0900 +2025-05-02 14:07:20,464 - pyskl - INFO - Epoch [142][2200/2353] lr: 1.779e-04, eta: 2:19:08, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1156, loss: 1.1156 +2025-05-02 14:08:04,601 - pyskl - INFO - Epoch [142][2300/2353] lr: 1.761e-04, eta: 2:18:24, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0898, loss: 1.0898 +2025-05-02 14:08:28,727 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-05-02 14:09:58,936 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 14:09:59,014 - pyskl - INFO - +top1_acc 0.9590 +top5_acc 0.9952 +2025-05-02 14:09:59,018 - pyskl - INFO - Epoch(val) [142][1184] top1_acc: 0.9590, top5_acc: 0.9952 +2025-05-02 14:11:04,097 - pyskl - INFO - Epoch [143][100/2353] lr: 1.732e-04, eta: 2:17:16, time: 0.651, data_time: 0.211, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1067, loss: 1.1067 +2025-05-02 14:11:48,222 - pyskl - INFO - Epoch [143][200/2353] lr: 1.714e-04, eta: 2:16:32, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1448, loss: 1.1448 +2025-05-02 14:12:32,176 - pyskl - INFO - Epoch [143][300/2353] lr: 1.695e-04, eta: 2:15:48, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0998, loss: 1.0998 +2025-05-02 14:13:16,088 - pyskl - INFO - Epoch [143][400/2353] lr: 1.677e-04, eta: 2:15:04, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1104, loss: 1.1104 +2025-05-02 14:14:00,052 - pyskl - INFO - Epoch [143][500/2353] lr: 1.659e-04, eta: 2:14:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0761, loss: 1.0761 +2025-05-02 14:14:44,026 - pyskl - INFO - Epoch [143][600/2353] lr: 1.641e-04, eta: 2:13:36, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1340, loss: 1.1340 +2025-05-02 14:15:28,010 - pyskl - INFO - Epoch [143][700/2353] lr: 1.623e-04, eta: 2:12:52, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1351, loss: 1.1351 +2025-05-02 14:16:12,341 - pyskl - INFO - Epoch [143][800/2353] lr: 1.605e-04, eta: 2:12:08, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0852, loss: 1.0852 +2025-05-02 14:16:56,345 - pyskl - INFO - Epoch [143][900/2353] lr: 1.588e-04, eta: 2:11:24, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1041, loss: 1.1041 +2025-05-02 14:17:40,383 - pyskl - INFO - Epoch [143][1000/2353] lr: 1.570e-04, eta: 2:10:40, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0545, loss: 1.0545 +2025-05-02 14:18:24,451 - pyskl - INFO - Epoch [143][1100/2353] lr: 1.552e-04, eta: 2:09:56, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1093, loss: 1.1093 +2025-05-02 14:19:08,468 - pyskl - INFO - Epoch [143][1200/2353] lr: 1.535e-04, eta: 2:09:12, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0739, loss: 1.0739 +2025-05-02 14:19:52,556 - pyskl - INFO - Epoch [143][1300/2353] lr: 1.518e-04, eta: 2:08:28, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0918, loss: 1.0918 +2025-05-02 14:20:36,632 - pyskl - INFO - Epoch [143][1400/2353] lr: 1.500e-04, eta: 2:07:44, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0980, loss: 1.0980 +2025-05-02 14:21:20,654 - pyskl - INFO - Epoch [143][1500/2353] lr: 1.483e-04, eta: 2:07:00, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0857, loss: 1.0857 +2025-05-02 14:22:04,674 - pyskl - INFO - Epoch [143][1600/2353] lr: 1.466e-04, eta: 2:06:16, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0964, loss: 1.0964 +2025-05-02 14:22:48,666 - pyskl - INFO - Epoch [143][1700/2353] lr: 1.449e-04, eta: 2:05:32, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0729, loss: 1.0729 +2025-05-02 14:23:32,602 - pyskl - INFO - Epoch [143][1800/2353] lr: 1.433e-04, eta: 2:04:48, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0397, loss: 1.0397 +2025-05-02 14:24:16,516 - pyskl - INFO - Epoch [143][1900/2353] lr: 1.416e-04, eta: 2:04:04, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.1188, loss: 1.1188 +2025-05-02 14:25:00,503 - pyskl - INFO - Epoch [143][2000/2353] lr: 1.399e-04, eta: 2:03:20, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1115, loss: 1.1115 +2025-05-02 14:25:44,407 - pyskl - INFO - Epoch [143][2100/2353] lr: 1.383e-04, eta: 2:02:36, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1095, loss: 1.1095 +2025-05-02 14:26:28,479 - pyskl - INFO - Epoch [143][2200/2353] lr: 1.366e-04, eta: 2:01:52, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0812, loss: 1.0812 +2025-05-02 14:27:12,654 - pyskl - INFO - Epoch [143][2300/2353] lr: 1.350e-04, eta: 2:01:08, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0805, loss: 1.0805 +2025-05-02 14:27:36,563 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-05-02 14:29:06,664 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 14:29:06,742 - pyskl - INFO - +top1_acc 0.9589 +top5_acc 0.9952 +2025-05-02 14:29:06,746 - pyskl - INFO - Epoch(val) [143][1184] top1_acc: 0.9589, top5_acc: 0.9952 +2025-05-02 14:30:12,227 - pyskl - INFO - Epoch [144][100/2353] lr: 1.325e-04, eta: 2:00:01, time: 0.655, data_time: 0.214, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1271, loss: 1.1271 +2025-05-02 14:30:56,323 - pyskl - INFO - Epoch [144][200/2353] lr: 1.309e-04, eta: 1:59:17, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0714, loss: 1.0714 +2025-05-02 14:31:40,365 - pyskl - INFO - Epoch [144][300/2353] lr: 1.293e-04, eta: 1:58:33, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1351, loss: 1.1351 +2025-05-02 14:32:24,282 - pyskl - INFO - Epoch [144][400/2353] lr: 1.277e-04, eta: 1:57:49, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0549, loss: 1.0549 +2025-05-02 14:33:08,360 - pyskl - INFO - Epoch [144][500/2353] lr: 1.261e-04, eta: 1:57:05, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0785, loss: 1.0785 +2025-05-02 14:33:52,475 - pyskl - INFO - Epoch [144][600/2353] lr: 1.245e-04, eta: 1:56:21, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0753, loss: 1.0753 +2025-05-02 14:34:36,598 - pyskl - INFO - Epoch [144][700/2353] lr: 1.230e-04, eta: 1:55:37, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0751, loss: 1.0751 +2025-05-02 14:35:20,723 - pyskl - INFO - Epoch [144][800/2353] lr: 1.214e-04, eta: 1:54:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1159, loss: 1.1159 +2025-05-02 14:36:04,830 - pyskl - INFO - Epoch [144][900/2353] lr: 1.199e-04, eta: 1:54:09, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1126, loss: 1.1126 +2025-05-02 14:36:48,925 - pyskl - INFO - Epoch [144][1000/2353] lr: 1.183e-04, eta: 1:53:25, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0839, loss: 1.0839 +2025-05-02 14:37:33,007 - pyskl - INFO - Epoch [144][1100/2353] lr: 1.168e-04, eta: 1:52:41, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0984, loss: 1.0984 +2025-05-02 14:38:17,038 - pyskl - INFO - Epoch [144][1200/2353] lr: 1.153e-04, eta: 1:51:57, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1232, loss: 1.1232 +2025-05-02 14:39:01,162 - pyskl - INFO - Epoch [144][1300/2353] lr: 1.138e-04, eta: 1:51:13, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1024, loss: 1.1024 +2025-05-02 14:39:45,463 - pyskl - INFO - Epoch [144][1400/2353] lr: 1.123e-04, eta: 1:50:29, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1038, loss: 1.1038 +2025-05-02 14:40:29,523 - pyskl - INFO - Epoch [144][1500/2353] lr: 1.108e-04, eta: 1:49:45, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1064, loss: 1.1064 +2025-05-02 14:41:13,526 - pyskl - INFO - Epoch [144][1600/2353] lr: 1.094e-04, eta: 1:49:01, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0989, loss: 1.0989 +2025-05-02 14:41:57,543 - pyskl - INFO - Epoch [144][1700/2353] lr: 1.079e-04, eta: 1:48:17, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0989, loss: 1.0989 +2025-05-02 14:42:41,636 - pyskl - INFO - Epoch [144][1800/2353] lr: 1.064e-04, eta: 1:47:33, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0939, loss: 1.0939 +2025-05-02 14:43:25,744 - pyskl - INFO - Epoch [144][1900/2353] lr: 1.050e-04, eta: 1:46:49, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0964, loss: 1.0964 +2025-05-02 14:44:09,933 - pyskl - INFO - Epoch [144][2000/2353] lr: 1.036e-04, eta: 1:46:05, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1064, loss: 1.1064 +2025-05-02 14:44:54,250 - pyskl - INFO - Epoch [144][2100/2353] lr: 1.021e-04, eta: 1:45:21, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0847, loss: 1.0847 +2025-05-02 14:45:38,301 - pyskl - INFO - Epoch [144][2200/2353] lr: 1.007e-04, eta: 1:44:37, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0899, loss: 1.0899 +2025-05-02 14:46:22,430 - pyskl - INFO - Epoch [144][2300/2353] lr: 9.932e-05, eta: 1:43:53, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0682, loss: 1.0682 +2025-05-02 14:46:46,462 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-05-02 14:48:16,521 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 14:48:16,598 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9787 +2025-05-02 14:48:16,601 - pyskl - INFO - Epoch(val) [144][1184] top1_acc: 0.9438, top5_acc: 0.9787 +2025-05-02 14:49:21,626 - pyskl - INFO - Epoch [145][100/2353] lr: 9.719e-05, eta: 1:42:46, time: 0.650, data_time: 0.211, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0695, loss: 1.0695 +2025-05-02 14:50:05,592 - pyskl - INFO - Epoch [145][200/2353] lr: 9.581e-05, eta: 1:42:02, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0734, loss: 1.0734 +2025-05-02 14:50:49,569 - pyskl - INFO - Epoch [145][300/2353] lr: 9.444e-05, eta: 1:41:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0968, loss: 1.0968 +2025-05-02 14:51:33,565 - pyskl - INFO - Epoch [145][400/2353] lr: 9.308e-05, eta: 1:40:34, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0905, loss: 1.0905 +2025-05-02 14:52:17,722 - pyskl - INFO - Epoch [145][500/2353] lr: 9.173e-05, eta: 1:39:50, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0654, loss: 1.0654 +2025-05-02 14:53:01,700 - pyskl - INFO - Epoch [145][600/2353] lr: 9.039e-05, eta: 1:39:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.0928, loss: 1.0928 +2025-05-02 14:53:45,676 - pyskl - INFO - Epoch [145][700/2353] lr: 8.906e-05, eta: 1:38:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1093, loss: 1.1093 +2025-05-02 14:54:29,709 - pyskl - INFO - Epoch [145][800/2353] lr: 8.774e-05, eta: 1:37:38, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0763, loss: 1.0763 +2025-05-02 14:55:13,872 - pyskl - INFO - Epoch [145][900/2353] lr: 8.643e-05, eta: 1:36:54, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1061, loss: 1.1061 +2025-05-02 14:55:57,910 - pyskl - INFO - Epoch [145][1000/2353] lr: 8.513e-05, eta: 1:36:10, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0554, loss: 1.0554 +2025-05-02 14:56:41,954 - pyskl - INFO - Epoch [145][1100/2353] lr: 8.383e-05, eta: 1:35:26, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0903, loss: 1.0903 +2025-05-02 14:57:26,302 - pyskl - INFO - Epoch [145][1200/2353] lr: 8.255e-05, eta: 1:34:42, time: 0.443, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0888, loss: 1.0888 +2025-05-02 14:58:10,549 - pyskl - INFO - Epoch [145][1300/2353] lr: 8.128e-05, eta: 1:33:58, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0906, loss: 1.0906 +2025-05-02 14:58:54,796 - pyskl - INFO - Epoch [145][1400/2353] lr: 8.002e-05, eta: 1:33:14, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0679, loss: 1.0679 +2025-05-02 14:59:38,863 - pyskl - INFO - Epoch [145][1500/2353] lr: 7.877e-05, eta: 1:32:30, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0716, loss: 1.0716 +2025-05-02 15:00:22,990 - pyskl - INFO - Epoch [145][1600/2353] lr: 7.753e-05, eta: 1:31:46, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0858, loss: 1.0858 +2025-05-02 15:01:07,079 - pyskl - INFO - Epoch [145][1700/2353] lr: 7.629e-05, eta: 1:31:02, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0876, loss: 1.0876 +2025-05-02 15:01:51,115 - pyskl - INFO - Epoch [145][1800/2353] lr: 7.507e-05, eta: 1:30:18, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1010, loss: 1.1010 +2025-05-02 15:02:35,183 - pyskl - INFO - Epoch [145][1900/2353] lr: 7.386e-05, eta: 1:29:34, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0766, loss: 1.0766 +2025-05-02 15:03:19,215 - pyskl - INFO - Epoch [145][2000/2353] lr: 7.266e-05, eta: 1:28:50, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0643, loss: 1.0643 +2025-05-02 15:04:03,310 - pyskl - INFO - Epoch [145][2100/2353] lr: 7.146e-05, eta: 1:28:06, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0260, loss: 1.0260 +2025-05-02 15:04:47,339 - pyskl - INFO - Epoch [145][2200/2353] lr: 7.028e-05, eta: 1:27:22, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1154, loss: 1.1154 +2025-05-02 15:05:31,429 - pyskl - INFO - Epoch [145][2300/2353] lr: 6.911e-05, eta: 1:26:38, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0919, loss: 1.0919 +2025-05-02 15:05:55,491 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-05-02 15:07:25,519 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 15:07:25,599 - pyskl - INFO - +top1_acc 0.9598 +top5_acc 0.9950 +2025-05-02 15:07:25,660 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/jm/best_top1_acc_epoch_140.pth was removed +2025-05-02 15:07:26,787 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_145.pth. +2025-05-02 15:07:26,788 - pyskl - INFO - Best top1_acc is 0.9598 at 145 epoch. +2025-05-02 15:07:26,791 - pyskl - INFO - Epoch(val) [145][1184] top1_acc: 0.9598, top5_acc: 0.9950 +2025-05-02 15:08:31,663 - pyskl - INFO - Epoch [146][100/2353] lr: 6.733e-05, eta: 1:25:31, time: 0.649, data_time: 0.207, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0557, loss: 1.0557 +2025-05-02 15:09:15,751 - pyskl - INFO - Epoch [146][200/2353] lr: 6.618e-05, eta: 1:24:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0409, loss: 1.0409 +2025-05-02 15:09:59,819 - pyskl - INFO - Epoch [146][300/2353] lr: 6.504e-05, eta: 1:24:03, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0869, loss: 1.0869 +2025-05-02 15:10:43,847 - pyskl - INFO - Epoch [146][400/2353] lr: 6.391e-05, eta: 1:23:19, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0779, loss: 1.0779 +2025-05-02 15:11:27,585 - pyskl - INFO - Epoch [146][500/2353] lr: 6.280e-05, eta: 1:22:35, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1026, loss: 1.1026 +2025-05-02 15:12:11,336 - pyskl - INFO - Epoch [146][600/2353] lr: 6.169e-05, eta: 1:21:51, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0291, loss: 1.0291 +2025-05-02 15:12:55,399 - pyskl - INFO - Epoch [146][700/2353] lr: 6.059e-05, eta: 1:21:07, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1039, loss: 1.1039 +2025-05-02 15:13:39,500 - pyskl - INFO - Epoch [146][800/2353] lr: 5.950e-05, eta: 1:20:23, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1361, loss: 1.1361 +2025-05-02 15:14:23,672 - pyskl - INFO - Epoch [146][900/2353] lr: 5.842e-05, eta: 1:19:39, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1104, loss: 1.1104 +2025-05-02 15:15:07,883 - pyskl - INFO - Epoch [146][1000/2353] lr: 5.735e-05, eta: 1:18:55, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0948, loss: 1.0948 +2025-05-02 15:15:51,990 - pyskl - INFO - Epoch [146][1100/2353] lr: 5.629e-05, eta: 1:18:11, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0635, loss: 1.0635 +2025-05-02 15:16:36,100 - pyskl - INFO - Epoch [146][1200/2353] lr: 5.524e-05, eta: 1:17:27, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0888, loss: 1.0888 +2025-05-02 15:17:20,331 - pyskl - INFO - Epoch [146][1300/2353] lr: 5.420e-05, eta: 1:16:43, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0906, loss: 1.0906 +2025-05-02 15:18:04,475 - pyskl - INFO - Epoch [146][1400/2353] lr: 5.317e-05, eta: 1:15:59, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0977, loss: 1.0977 +2025-05-02 15:18:48,461 - pyskl - INFO - Epoch [146][1500/2353] lr: 5.215e-05, eta: 1:15:15, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0785, loss: 1.0785 +2025-05-02 15:19:32,471 - pyskl - INFO - Epoch [146][1600/2353] lr: 5.114e-05, eta: 1:14:31, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0877, loss: 1.0877 +2025-05-02 15:20:16,558 - pyskl - INFO - Epoch [146][1700/2353] lr: 5.014e-05, eta: 1:13:47, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1138, loss: 1.1138 +2025-05-02 15:21:00,576 - pyskl - INFO - Epoch [146][1800/2353] lr: 4.915e-05, eta: 1:13:03, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0702, loss: 1.0702 +2025-05-02 15:21:44,657 - pyskl - INFO - Epoch [146][1900/2353] lr: 4.817e-05, eta: 1:12:19, time: 0.441, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0868, loss: 1.0868 +2025-05-02 15:22:28,558 - pyskl - INFO - Epoch [146][2000/2353] lr: 4.720e-05, eta: 1:11:35, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0738, loss: 1.0738 +2025-05-02 15:23:12,563 - pyskl - INFO - Epoch [146][2100/2353] lr: 4.624e-05, eta: 1:10:51, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0957, loss: 1.0957 +2025-05-02 15:23:56,782 - pyskl - INFO - Epoch [146][2200/2353] lr: 4.528e-05, eta: 1:10:07, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0837, loss: 1.0837 +2025-05-02 15:24:40,987 - pyskl - INFO - Epoch [146][2300/2353] lr: 4.434e-05, eta: 1:09:23, time: 0.442, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0931, loss: 1.0931 +2025-05-02 15:25:04,928 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-05-02 15:26:35,231 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 15:26:35,308 - pyskl - INFO - +top1_acc 0.9588 +top5_acc 0.9946 +2025-05-02 15:26:35,312 - pyskl - INFO - Epoch(val) [146][1184] top1_acc: 0.9588, top5_acc: 0.9946 +2025-05-02 15:27:40,212 - pyskl - INFO - Epoch [147][100/2353] lr: 4.292e-05, eta: 1:08:16, time: 0.649, data_time: 0.210, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1167, loss: 1.1167 +2025-05-02 15:28:24,091 - pyskl - INFO - Epoch [147][200/2353] lr: 4.201e-05, eta: 1:07:32, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0520, loss: 1.0520 +2025-05-02 15:29:07,985 - pyskl - INFO - Epoch [147][300/2353] lr: 4.110e-05, eta: 1:06:48, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0855, loss: 1.0855 +2025-05-02 15:29:51,869 - pyskl - INFO - Epoch [147][400/2353] lr: 4.020e-05, eta: 1:06:04, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0791, loss: 1.0791 +2025-05-02 15:30:35,789 - pyskl - INFO - Epoch [147][500/2353] lr: 3.932e-05, eta: 1:05:20, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1101, loss: 1.1101 +2025-05-02 15:31:19,590 - pyskl - INFO - Epoch [147][600/2353] lr: 3.844e-05, eta: 1:04:36, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1309, loss: 1.1309 +2025-05-02 15:32:03,414 - pyskl - INFO - Epoch [147][700/2353] lr: 3.757e-05, eta: 1:03:52, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0580, loss: 1.0580 +2025-05-02 15:32:47,308 - pyskl - INFO - Epoch [147][800/2353] lr: 3.672e-05, eta: 1:03:08, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0987, loss: 1.0987 +2025-05-02 15:33:31,158 - pyskl - INFO - Epoch [147][900/2353] lr: 3.587e-05, eta: 1:02:24, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0738, loss: 1.0738 +2025-05-02 15:34:15,050 - pyskl - INFO - Epoch [147][1000/2353] lr: 3.503e-05, eta: 1:01:40, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0547, loss: 1.0547 +2025-05-02 15:34:59,006 - pyskl - INFO - Epoch [147][1100/2353] lr: 3.420e-05, eta: 1:00:56, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0682, loss: 1.0682 +2025-05-02 15:35:42,914 - pyskl - INFO - Epoch [147][1200/2353] lr: 3.339e-05, eta: 1:00:12, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0653, loss: 1.0653 +2025-05-02 15:36:26,814 - pyskl - INFO - Epoch [147][1300/2353] lr: 3.258e-05, eta: 0:59:28, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0730, loss: 1.0730 +2025-05-02 15:37:10,722 - pyskl - INFO - Epoch [147][1400/2353] lr: 3.178e-05, eta: 0:58:44, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0641, loss: 1.0641 +2025-05-02 15:37:54,529 - pyskl - INFO - Epoch [147][1500/2353] lr: 3.099e-05, eta: 0:58:00, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0911, loss: 1.0911 +2025-05-02 15:38:38,300 - pyskl - INFO - Epoch [147][1600/2353] lr: 3.021e-05, eta: 0:57:16, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0883, loss: 1.0883 +2025-05-02 15:39:22,024 - pyskl - INFO - Epoch [147][1700/2353] lr: 2.945e-05, eta: 0:56:32, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0989, loss: 1.0989 +2025-05-02 15:40:05,808 - pyskl - INFO - Epoch [147][1800/2353] lr: 2.869e-05, eta: 0:55:48, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0794, loss: 1.0794 +2025-05-02 15:40:49,533 - pyskl - INFO - Epoch [147][1900/2353] lr: 2.794e-05, eta: 0:55:04, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0963, loss: 1.0963 +2025-05-02 15:41:33,051 - pyskl - INFO - Epoch [147][2000/2353] lr: 2.720e-05, eta: 0:54:20, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0881, loss: 1.0881 +2025-05-02 15:42:16,873 - pyskl - INFO - Epoch [147][2100/2353] lr: 2.647e-05, eta: 0:53:36, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0579, loss: 1.0579 +2025-05-02 15:43:00,622 - pyskl - INFO - Epoch [147][2200/2353] lr: 2.575e-05, eta: 0:52:52, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0926, loss: 1.0926 +2025-05-02 15:43:44,334 - pyskl - INFO - Epoch [147][2300/2353] lr: 2.504e-05, eta: 0:52:08, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0645, loss: 1.0645 +2025-05-02 15:44:08,218 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-05-02 15:45:37,185 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 15:45:37,261 - pyskl - INFO - +top1_acc 0.9592 +top5_acc 0.9953 +2025-05-02 15:45:37,264 - pyskl - INFO - Epoch(val) [147][1184] top1_acc: 0.9592, top5_acc: 0.9953 +2025-05-02 15:46:41,298 - pyskl - INFO - Epoch [148][100/2353] lr: 2.398e-05, eta: 0:51:01, time: 0.640, data_time: 0.203, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0930, loss: 1.0930 +2025-05-02 15:47:25,001 - pyskl - INFO - Epoch [148][200/2353] lr: 2.330e-05, eta: 0:50:17, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1066, loss: 1.1066 +2025-05-02 15:48:08,778 - pyskl - INFO - Epoch [148][300/2353] lr: 2.262e-05, eta: 0:49:33, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0663, loss: 1.0663 +2025-05-02 15:48:52,562 - pyskl - INFO - Epoch [148][400/2353] lr: 2.196e-05, eta: 0:48:49, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0993, loss: 1.0993 +2025-05-02 15:49:36,405 - pyskl - INFO - Epoch [148][500/2353] lr: 2.130e-05, eta: 0:48:05, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0908, loss: 1.0908 +2025-05-02 15:50:20,187 - pyskl - INFO - Epoch [148][600/2353] lr: 2.066e-05, eta: 0:47:21, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0816, loss: 1.0816 +2025-05-02 15:51:04,038 - pyskl - INFO - Epoch [148][700/2353] lr: 2.002e-05, eta: 0:46:37, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1142, loss: 1.1142 +2025-05-02 15:51:47,853 - pyskl - INFO - Epoch [148][800/2353] lr: 1.940e-05, eta: 0:45:53, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1000, loss: 1.1000 +2025-05-02 15:52:31,603 - pyskl - INFO - Epoch [148][900/2353] lr: 1.878e-05, eta: 0:45:09, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0792, loss: 1.0792 +2025-05-02 15:53:15,323 - pyskl - INFO - Epoch [148][1000/2353] lr: 1.818e-05, eta: 0:44:25, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0611, loss: 1.0611 +2025-05-02 15:53:59,137 - pyskl - INFO - Epoch [148][1100/2353] lr: 1.759e-05, eta: 0:43:41, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0588, loss: 1.0588 +2025-05-02 15:54:42,961 - pyskl - INFO - Epoch [148][1200/2353] lr: 1.700e-05, eta: 0:42:57, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0698, loss: 1.0698 +2025-05-02 15:55:26,811 - pyskl - INFO - Epoch [148][1300/2353] lr: 1.642e-05, eta: 0:42:13, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0551, loss: 1.0551 +2025-05-02 15:56:10,601 - pyskl - INFO - Epoch [148][1400/2353] lr: 1.586e-05, eta: 0:41:29, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0703, loss: 1.0703 +2025-05-02 15:56:54,477 - pyskl - INFO - Epoch [148][1500/2353] lr: 1.530e-05, eta: 0:40:45, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0937, loss: 1.0937 +2025-05-02 15:57:38,264 - pyskl - INFO - Epoch [148][1600/2353] lr: 1.476e-05, eta: 0:40:01, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0905, loss: 1.0905 +2025-05-02 15:58:22,186 - pyskl - INFO - Epoch [148][1700/2353] lr: 1.422e-05, eta: 0:39:17, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1141, loss: 1.1141 +2025-05-02 15:59:05,948 - pyskl - INFO - Epoch [148][1800/2353] lr: 1.370e-05, eta: 0:38:33, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0937, loss: 1.0937 +2025-05-02 15:59:49,746 - pyskl - INFO - Epoch [148][1900/2353] lr: 1.318e-05, eta: 0:37:49, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1061, loss: 1.1061 +2025-05-02 16:00:33,560 - pyskl - INFO - Epoch [148][2000/2353] lr: 1.268e-05, eta: 0:37:05, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0833, loss: 1.0833 +2025-05-02 16:01:17,351 - pyskl - INFO - Epoch [148][2100/2353] lr: 1.218e-05, eta: 0:36:21, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0896, loss: 1.0896 +2025-05-02 16:02:01,125 - pyskl - INFO - Epoch [148][2200/2353] lr: 1.169e-05, eta: 0:35:37, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1152, loss: 1.1152 +2025-05-02 16:02:44,842 - pyskl - INFO - Epoch [148][2300/2353] lr: 1.122e-05, eta: 0:34:53, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0864, loss: 1.0864 +2025-05-02 16:03:08,619 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-05-02 16:04:37,354 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 16:04:37,431 - pyskl - INFO - +top1_acc 0.9432 +top5_acc 0.9799 +2025-05-02 16:04:37,434 - pyskl - INFO - Epoch(val) [148][1184] top1_acc: 0.9432, top5_acc: 0.9799 +2025-05-02 16:05:41,686 - pyskl - INFO - Epoch [149][100/2353] lr: 1.051e-05, eta: 0:33:45, time: 0.642, data_time: 0.205, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0647, loss: 1.0647 +2025-05-02 16:06:25,395 - pyskl - INFO - Epoch [149][200/2353] lr: 1.006e-05, eta: 0:33:01, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0775, loss: 1.0775 +2025-05-02 16:07:09,182 - pyskl - INFO - Epoch [149][300/2353] lr: 9.616e-06, eta: 0:32:17, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1030, loss: 1.1030 +2025-05-02 16:07:53,033 - pyskl - INFO - Epoch [149][400/2353] lr: 9.184e-06, eta: 0:31:33, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0592, loss: 1.0592 +2025-05-02 16:08:36,916 - pyskl - INFO - Epoch [149][500/2353] lr: 8.763e-06, eta: 0:30:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0766, loss: 1.0766 +2025-05-02 16:09:20,910 - pyskl - INFO - Epoch [149][600/2353] lr: 8.351e-06, eta: 0:30:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0613, loss: 1.0613 +2025-05-02 16:10:04,846 - pyskl - INFO - Epoch [149][700/2353] lr: 7.950e-06, eta: 0:29:22, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0699, loss: 1.0699 +2025-05-02 16:10:48,745 - pyskl - INFO - Epoch [149][800/2353] lr: 7.558e-06, eta: 0:28:38, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1187, loss: 1.1187 +2025-05-02 16:11:32,516 - pyskl - INFO - Epoch [149][900/2353] lr: 7.176e-06, eta: 0:27:54, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0720, loss: 1.0720 +2025-05-02 16:12:16,317 - pyskl - INFO - Epoch [149][1000/2353] lr: 6.804e-06, eta: 0:27:10, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0850, loss: 1.0850 +2025-05-02 16:13:00,148 - pyskl - INFO - Epoch [149][1100/2353] lr: 6.442e-06, eta: 0:26:26, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0879, loss: 1.0879 +2025-05-02 16:13:43,991 - pyskl - INFO - Epoch [149][1200/2353] lr: 6.090e-06, eta: 0:25:42, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0597, loss: 1.0597 +2025-05-02 16:14:27,883 - pyskl - INFO - Epoch [149][1300/2353] lr: 5.747e-06, eta: 0:24:58, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0862, loss: 1.0862 +2025-05-02 16:15:11,696 - pyskl - INFO - Epoch [149][1400/2353] lr: 5.415e-06, eta: 0:24:14, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0439, loss: 1.0439 +2025-05-02 16:15:55,547 - pyskl - INFO - Epoch [149][1500/2353] lr: 5.092e-06, eta: 0:23:30, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0826, loss: 1.0826 +2025-05-02 16:16:39,447 - pyskl - INFO - Epoch [149][1600/2353] lr: 4.780e-06, eta: 0:22:46, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0815, loss: 1.0815 +2025-05-02 16:17:23,320 - pyskl - INFO - Epoch [149][1700/2353] lr: 4.477e-06, eta: 0:22:02, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1034, loss: 1.1034 +2025-05-02 16:18:07,123 - pyskl - INFO - Epoch [149][1800/2353] lr: 4.184e-06, eta: 0:21:18, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0489, loss: 1.0489 +2025-05-02 16:18:51,005 - pyskl - INFO - Epoch [149][1900/2353] lr: 3.901e-06, eta: 0:20:34, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1031, loss: 1.1031 +2025-05-02 16:19:34,924 - pyskl - INFO - Epoch [149][2000/2353] lr: 3.628e-06, eta: 0:19:50, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0857, loss: 1.0857 +2025-05-02 16:20:18,908 - pyskl - INFO - Epoch [149][2100/2353] lr: 3.365e-06, eta: 0:19:06, time: 0.440, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0841, loss: 1.0841 +2025-05-02 16:21:02,621 - pyskl - INFO - Epoch [149][2200/2353] lr: 3.112e-06, eta: 0:18:22, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0818, loss: 1.0818 +2025-05-02 16:21:46,495 - pyskl - INFO - Epoch [149][2300/2353] lr: 2.869e-06, eta: 0:17:38, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0877, loss: 1.0877 +2025-05-02 16:22:10,342 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-05-02 16:23:39,736 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 16:23:39,814 - pyskl - INFO - +top1_acc 0.9595 +top5_acc 0.9948 +2025-05-02 16:23:39,817 - pyskl - INFO - Epoch(val) [149][1184] top1_acc: 0.9595, top5_acc: 0.9948 +2025-05-02 16:24:44,265 - pyskl - INFO - Epoch [150][100/2353] lr: 2.516e-06, eta: 0:16:30, time: 0.644, data_time: 0.207, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0675, loss: 1.0675 +2025-05-02 16:25:27,937 - pyskl - INFO - Epoch [150][200/2353] lr: 2.297e-06, eta: 0:15:46, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0927, loss: 1.0927 +2025-05-02 16:26:11,735 - pyskl - INFO - Epoch [150][300/2353] lr: 2.089e-06, eta: 0:15:02, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1166, loss: 1.1166 +2025-05-02 16:26:55,532 - pyskl - INFO - Epoch [150][400/2353] lr: 1.891e-06, eta: 0:14:18, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0865, loss: 1.0865 +2025-05-02 16:27:39,323 - pyskl - INFO - Epoch [150][500/2353] lr: 1.702e-06, eta: 0:13:35, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0736, loss: 1.0736 +2025-05-02 16:28:23,117 - pyskl - INFO - Epoch [150][600/2353] lr: 1.523e-06, eta: 0:12:51, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0886, loss: 1.0886 +2025-05-02 16:29:06,816 - pyskl - INFO - Epoch [150][700/2353] lr: 1.355e-06, eta: 0:12:07, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1120, loss: 1.1120 +2025-05-02 16:29:50,547 - pyskl - INFO - Epoch [150][800/2353] lr: 1.196e-06, eta: 0:11:23, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0927, loss: 1.0927 +2025-05-02 16:30:34,263 - pyskl - INFO - Epoch [150][900/2353] lr: 1.047e-06, eta: 0:10:39, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0797, loss: 1.0797 +2025-05-02 16:31:18,033 - pyskl - INFO - Epoch [150][1000/2353] lr: 9.078e-07, eta: 0:09:55, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0743, loss: 1.0743 +2025-05-02 16:32:01,809 - pyskl - INFO - Epoch [150][1100/2353] lr: 7.787e-07, eta: 0:09:11, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0867, loss: 1.0867 +2025-05-02 16:32:45,532 - pyskl - INFO - Epoch [150][1200/2353] lr: 6.594e-07, eta: 0:08:27, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1161, loss: 1.1161 +2025-05-02 16:33:29,233 - pyskl - INFO - Epoch [150][1300/2353] lr: 5.501e-07, eta: 0:07:43, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0943, loss: 1.0943 +2025-05-02 16:34:12,916 - pyskl - INFO - Epoch [150][1400/2353] lr: 4.507e-07, eta: 0:06:59, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0632, loss: 1.0632 +2025-05-02 16:34:56,632 - pyskl - INFO - Epoch [150][1500/2353] lr: 3.611e-07, eta: 0:06:15, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.0915, loss: 1.0915 +2025-05-02 16:35:40,226 - pyskl - INFO - Epoch [150][1600/2353] lr: 2.815e-07, eta: 0:05:31, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1157, loss: 1.1157 +2025-05-02 16:36:23,898 - pyskl - INFO - Epoch [150][1700/2353] lr: 2.118e-07, eta: 0:04:47, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0879, loss: 1.0879 +2025-05-02 16:37:07,648 - pyskl - INFO - Epoch [150][1800/2353] lr: 1.520e-07, eta: 0:04:03, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0873, loss: 1.0873 +2025-05-02 16:37:51,399 - pyskl - INFO - Epoch [150][1900/2353] lr: 1.021e-07, eta: 0:03:19, time: 0.438, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0842, loss: 1.0842 +2025-05-02 16:38:35,106 - pyskl - INFO - Epoch [150][2000/2353] lr: 6.205e-08, eta: 0:02:35, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.0612, loss: 1.0612 +2025-05-02 16:39:18,835 - pyskl - INFO - Epoch [150][2100/2353] lr: 3.195e-08, eta: 0:01:51, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1125, loss: 1.1125 +2025-05-02 16:40:02,538 - pyskl - INFO - Epoch [150][2200/2353] lr: 1.174e-08, eta: 0:01:07, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.1111, loss: 1.1111 +2025-05-02 16:40:46,391 - pyskl - INFO - Epoch [150][2300/2353] lr: 1.444e-09, eta: 0:00:23, time: 0.439, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1040, loss: 1.1040 +2025-05-02 16:41:10,245 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-05-02 16:42:39,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-05-02 16:42:39,215 - pyskl - INFO - +top1_acc 0.9592 +top5_acc 0.9954 +2025-05-02 16:42:39,219 - pyskl - INFO - Epoch(val) [150][1184] top1_acc: 0.9592, top5_acc: 0.9954 +2025-05-02 16:42:47,348 - pyskl - INFO - 18932 videos remain after valid thresholding +2025-05-02 16:53:57,789 - pyskl - INFO - Testing results of the last checkpoint +2025-05-02 16:53:57,790 - pyskl - INFO - top1_acc: 0.9628 +2025-05-02 16:53:57,790 - pyskl - INFO - top5_acc: 0.9959 +2025-05-02 16:53:57,790 - pyskl - INFO - load checkpoint from local path: ./work_dirs/ntu60_xview/jm/best_top1_acc_epoch_145.pth +2025-05-02 17:05:02,490 - pyskl - INFO - Testing results of the best checkpoint +2025-05-02 17:05:02,491 - pyskl - INFO - top1_acc: 0.9630 +2025-05-02 17:05:02,491 - pyskl - INFO - top5_acc: 0.9957