diff --git "a/ntu60_xview/k_1/20250602_201553.log" "b/ntu60_xview/k_1/20250602_201553.log" new file mode 100644--- /dev/null +++ "b/ntu60_xview/k_1/20250602_201553.log" @@ -0,0 +1,4679 @@ +2025-06-02 20:15:53,701 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-06-02 20:15:54,053 - pyskl - INFO - Config: modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/ntu60_xview/k_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module_LLM', + llm_model='gpt4o', + llm_modality='k', + num_classes=60, + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict( + type='SimpleHead', + joint_cfg='nturgb+d', + num_classes=60, + in_channels=384, + work_dir='./work_dirs/ntu60_xview/k_1', + interval_epoch=5, + weight_1=0.2, + weight_2=0.2)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/nturgbd/ntu60_3danno.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/nturgbd/ntu60_3danno.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/nturgbd/ntu60_3danno.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/nturgbd/ntu60_3danno.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=100, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-06-02 20:15:54,054 - pyskl - INFO - Set random seed to 471224667, deterministic: False +2025-06-02 20:16:14,739 - pyskl - INFO - 37646 videos remain after valid thresholding +2025-06-02 20:16:21,182 - pyskl - INFO - 18932 videos remain after valid thresholding +2025-06-02 20:16:21,204 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1 +2025-06-02 20:16:21,205 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-06-02 20:16:21,205 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-06-02 20:16:21,205 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1 by HardDiskBackend. +2025-06-02 20:17:26,306 - pyskl - INFO - Epoch [1][100/2353] lr: 2.500e-02, eta: 2 days, 15:48:12, time: 0.651, data_time: 0.213, memory: 13125, top1_acc: 0.0281, top5_acc: 0.1275, loss_cls: 10.5700, loss: 10.5700 +2025-06-02 20:18:09,309 - pyskl - INFO - Epoch [1][200/2353] lr: 2.500e-02, eta: 2 days, 4:57:38, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.0312, top5_acc: 0.1769, loss_cls: 9.0101, loss: 9.0101 +2025-06-02 20:18:52,662 - pyskl - INFO - Epoch [1][300/2353] lr: 2.500e-02, eta: 2 days, 1:27:11, time: 0.434, data_time: 0.000, memory: 13125, top1_acc: 0.0319, top5_acc: 0.1631, loss_cls: 8.9396, loss: 8.9396 +2025-06-02 20:19:35,871 - pyskl - INFO - Epoch [1][400/2353] lr: 2.500e-02, eta: 1 day, 23:39:28, time: 0.432, data_time: 0.000, memory: 13125, top1_acc: 0.0563, top5_acc: 0.2487, loss_cls: 8.6464, loss: 8.6464 +2025-06-02 20:20:19,140 - pyskl - INFO - Epoch [1][500/2353] lr: 2.500e-02, eta: 1 day, 22:35:15, time: 0.433, data_time: 0.000, memory: 13125, top1_acc: 0.0631, top5_acc: 0.2869, loss_cls: 8.5018, loss: 8.5018 +2025-06-02 20:21:02,265 - pyskl - INFO - Epoch [1][600/2353] lr: 2.500e-02, eta: 1 day, 21:50:47, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.0813, top5_acc: 0.3500, loss_cls: 8.2775, loss: 8.2775 +2025-06-02 20:21:45,347 - pyskl - INFO - Epoch [1][700/2353] lr: 2.500e-02, eta: 1 day, 21:18:29, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.0881, top5_acc: 0.3550, loss_cls: 8.2323, loss: 8.2323 +2025-06-02 20:22:28,416 - pyskl - INFO - Epoch [1][800/2353] lr: 2.500e-02, eta: 1 day, 20:53:57, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.0944, top5_acc: 0.3812, loss_cls: 8.1237, loss: 8.1237 +2025-06-02 20:23:11,467 - pyskl - INFO - Epoch [1][900/2353] lr: 2.500e-02, eta: 1 day, 20:34:37, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1113, top5_acc: 0.4025, loss_cls: 8.0110, loss: 8.0110 +2025-06-02 20:23:54,526 - pyskl - INFO - Epoch [1][1000/2353] lr: 2.500e-02, eta: 1 day, 20:19:03, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1138, top5_acc: 0.4150, loss_cls: 7.9210, loss: 7.9210 +2025-06-02 20:24:37,575 - pyskl - INFO - Epoch [1][1100/2353] lr: 2.500e-02, eta: 1 day, 20:06:07, time: 0.430, data_time: 0.000, memory: 13125, top1_acc: 0.1263, top5_acc: 0.4387, loss_cls: 7.8713, loss: 7.8713 +2025-06-02 20:25:20,657 - pyskl - INFO - Epoch [1][1200/2353] lr: 2.500e-02, eta: 1 day, 19:55:24, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1138, top5_acc: 0.4456, loss_cls: 7.9293, loss: 7.9293 +2025-06-02 20:26:03,867 - pyskl - INFO - Epoch [1][1300/2353] lr: 2.500e-02, eta: 1 day, 19:46:47, time: 0.432, data_time: 0.000, memory: 13125, top1_acc: 0.1212, top5_acc: 0.4419, loss_cls: 7.9400, loss: 7.9400 +2025-06-02 20:26:47,151 - pyskl - INFO - Epoch [1][1400/2353] lr: 2.500e-02, eta: 1 day, 19:39:36, time: 0.433, data_time: 0.000, memory: 13125, top1_acc: 0.1306, top5_acc: 0.4525, loss_cls: 7.7453, loss: 7.7453 +2025-06-02 20:27:30,431 - pyskl - INFO - Epoch [1][1500/2353] lr: 2.500e-02, eta: 1 day, 19:33:17, time: 0.433, data_time: 0.000, memory: 13125, top1_acc: 0.1444, top5_acc: 0.4719, loss_cls: 7.6826, loss: 7.6826 +2025-06-02 20:28:13,646 - pyskl - INFO - Epoch [1][1600/2353] lr: 2.500e-02, eta: 1 day, 19:27:25, time: 0.432, data_time: 0.000, memory: 13125, top1_acc: 0.1338, top5_acc: 0.4906, loss_cls: 7.6752, loss: 7.6752 +2025-06-02 20:28:56,786 - pyskl - INFO - Epoch [1][1700/2353] lr: 2.500e-02, eta: 1 day, 19:21:53, time: 0.431, data_time: 0.000, memory: 13125, top1_acc: 0.1437, top5_acc: 0.4919, loss_cls: 7.6315, loss: 7.6315 +2025-06-02 20:29:39,952 - pyskl - INFO - Epoch [1][1800/2353] lr: 2.500e-02, eta: 1 day, 19:16:59, time: 0.432, data_time: 0.000, memory: 13125, top1_acc: 0.1588, top5_acc: 0.5119, loss_cls: 7.6020, loss: 7.6020 +2025-06-02 20:30:23,214 - pyskl - INFO - Epoch [1][1900/2353] lr: 2.500e-02, eta: 1 day, 19:12:49, time: 0.433, data_time: 0.000, memory: 13125, top1_acc: 0.1719, top5_acc: 0.5300, loss_cls: 7.5058, loss: 7.5058 +2025-06-02 20:31:06,424 - pyskl - INFO - Epoch [1][2000/2353] lr: 2.500e-02, eta: 1 day, 19:08:51, time: 0.432, data_time: 0.000, memory: 13125, top1_acc: 0.1581, top5_acc: 0.5212, loss_cls: 7.5231, loss: 7.5231 +2025-06-02 20:31:49,594 - pyskl - INFO - Epoch [1][2100/2353] lr: 2.500e-02, eta: 1 day, 19:05:05, time: 0.432, data_time: 0.000, memory: 13125, top1_acc: 0.1550, top5_acc: 0.5288, loss_cls: 7.5370, loss: 7.5370 +2025-06-02 20:32:32,896 - pyskl - INFO - Epoch [1][2200/2353] lr: 2.500e-02, eta: 1 day, 19:01:56, time: 0.433, data_time: 0.000, memory: 13125, top1_acc: 0.1825, top5_acc: 0.5619, loss_cls: 7.3438, loss: 7.3438 +2025-06-02 20:33:16,083 - pyskl - INFO - Epoch [1][2300/2353] lr: 2.500e-02, eta: 1 day, 18:58:42, time: 0.432, data_time: 0.000, memory: 13125, top1_acc: 0.2031, top5_acc: 0.5850, loss_cls: 7.2782, loss: 7.2782 +2025-06-02 20:33:39,495 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-06-02 20:35:05,011 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:35:05,086 - pyskl - INFO - +top1_acc 0.2137 +top5_acc 0.6442 +2025-06-02 20:35:06,119 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-06-02 20:35:06,120 - pyskl - INFO - Best top1_acc is 0.2137 at 1 epoch. +2025-06-02 20:35:06,123 - pyskl - INFO - Epoch(val) [1][1184] top1_acc: 0.2137, top5_acc: 0.6442 +2025-06-02 20:36:09,792 - pyskl - INFO - Epoch [2][100/2353] lr: 2.500e-02, eta: 1 day, 18:48:25, time: 0.637, data_time: 0.203, memory: 13126, top1_acc: 0.1769, top5_acc: 0.5819, loss_cls: 7.2668, loss: 7.2668 +2025-06-02 20:36:52,938 - pyskl - INFO - Epoch [2][200/2353] lr: 2.500e-02, eta: 1 day, 18:45:48, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.1844, top5_acc: 0.5875, loss_cls: 7.1996, loss: 7.1996 +2025-06-02 20:37:36,171 - pyskl - INFO - Epoch [2][300/2353] lr: 2.500e-02, eta: 1 day, 18:43:32, time: 0.432, data_time: 0.000, memory: 13126, top1_acc: 0.1888, top5_acc: 0.5944, loss_cls: 7.2395, loss: 7.2395 +2025-06-02 20:38:19,218 - pyskl - INFO - Epoch [2][400/2353] lr: 2.500e-02, eta: 1 day, 18:40:58, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.2006, top5_acc: 0.6012, loss_cls: 7.1963, loss: 7.1963 +2025-06-02 20:39:02,256 - pyskl - INFO - Epoch [2][500/2353] lr: 2.500e-02, eta: 1 day, 18:38:31, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.2119, top5_acc: 0.6150, loss_cls: 7.1144, loss: 7.1144 +2025-06-02 20:39:45,250 - pyskl - INFO - Epoch [2][600/2353] lr: 2.500e-02, eta: 1 day, 18:36:06, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.2444, top5_acc: 0.6294, loss_cls: 7.0518, loss: 7.0518 +2025-06-02 20:40:28,326 - pyskl - INFO - Epoch [2][700/2353] lr: 2.500e-02, eta: 1 day, 18:33:57, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2238, top5_acc: 0.6175, loss_cls: 7.1738, loss: 7.1738 +2025-06-02 20:41:11,418 - pyskl - INFO - Epoch [2][800/2353] lr: 2.500e-02, eta: 1 day, 18:31:55, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2500, top5_acc: 0.6687, loss_cls: 6.9542, loss: 6.9542 +2025-06-02 20:41:54,645 - pyskl - INFO - Epoch [2][900/2353] lr: 2.499e-02, eta: 1 day, 18:30:12, time: 0.432, data_time: 0.000, memory: 13126, top1_acc: 0.2594, top5_acc: 0.6787, loss_cls: 6.8815, loss: 6.8815 +2025-06-02 20:42:37,766 - pyskl - INFO - Epoch [2][1000/2353] lr: 2.499e-02, eta: 1 day, 18:28:22, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2612, top5_acc: 0.6906, loss_cls: 6.8792, loss: 6.8792 +2025-06-02 20:43:20,791 - pyskl - INFO - Epoch [2][1100/2353] lr: 2.499e-02, eta: 1 day, 18:26:27, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.2656, top5_acc: 0.6875, loss_cls: 6.8331, loss: 6.8331 +2025-06-02 20:44:03,960 - pyskl - INFO - Epoch [2][1200/2353] lr: 2.499e-02, eta: 1 day, 18:24:49, time: 0.432, data_time: 0.000, memory: 13126, top1_acc: 0.2694, top5_acc: 0.6944, loss_cls: 6.7849, loss: 6.7849 +2025-06-02 20:44:46,999 - pyskl - INFO - Epoch [2][1300/2353] lr: 2.499e-02, eta: 1 day, 18:23:02, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.2944, top5_acc: 0.7194, loss_cls: 6.6621, loss: 6.6621 +2025-06-02 20:45:30,093 - pyskl - INFO - Epoch [2][1400/2353] lr: 2.499e-02, eta: 1 day, 18:21:24, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.2756, top5_acc: 0.7369, loss_cls: 6.6188, loss: 6.6188 +2025-06-02 20:46:13,118 - pyskl - INFO - Epoch [2][1500/2353] lr: 2.499e-02, eta: 1 day, 18:19:42, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.3212, top5_acc: 0.7581, loss_cls: 6.3821, loss: 6.3821 +2025-06-02 20:46:56,246 - pyskl - INFO - Epoch [2][1600/2353] lr: 2.499e-02, eta: 1 day, 18:18:12, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3206, top5_acc: 0.7512, loss_cls: 6.4813, loss: 6.4813 +2025-06-02 20:47:39,299 - pyskl - INFO - Epoch [2][1700/2353] lr: 2.499e-02, eta: 1 day, 18:16:38, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3231, top5_acc: 0.7562, loss_cls: 6.5033, loss: 6.5033 +2025-06-02 20:48:22,409 - pyskl - INFO - Epoch [2][1800/2353] lr: 2.499e-02, eta: 1 day, 18:15:11, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3369, top5_acc: 0.7575, loss_cls: 6.4520, loss: 6.4520 +2025-06-02 20:49:05,657 - pyskl - INFO - Epoch [2][1900/2353] lr: 2.499e-02, eta: 1 day, 18:13:58, time: 0.432, data_time: 0.000, memory: 13126, top1_acc: 0.3444, top5_acc: 0.7781, loss_cls: 6.3535, loss: 6.3535 +2025-06-02 20:49:48,736 - pyskl - INFO - Epoch [2][2000/2353] lr: 2.499e-02, eta: 1 day, 18:12:32, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3688, top5_acc: 0.7900, loss_cls: 6.2809, loss: 6.2809 +2025-06-02 20:50:31,801 - pyskl - INFO - Epoch [2][2100/2353] lr: 2.499e-02, eta: 1 day, 18:11:08, time: 0.431, data_time: 0.000, memory: 13126, top1_acc: 0.3862, top5_acc: 0.7906, loss_cls: 6.1755, loss: 6.1755 +2025-06-02 20:51:14,843 - pyskl - INFO - Epoch [2][2200/2353] lr: 2.499e-02, eta: 1 day, 18:09:43, time: 0.430, data_time: 0.000, memory: 13126, top1_acc: 0.3869, top5_acc: 0.8069, loss_cls: 6.1020, loss: 6.1020 +2025-06-02 20:51:57,763 - pyskl - INFO - Epoch [2][2300/2353] lr: 2.499e-02, eta: 1 day, 18:08:11, time: 0.429, data_time: 0.000, memory: 13126, top1_acc: 0.4025, top5_acc: 0.8219, loss_cls: 6.1013, loss: 6.1013 +2025-06-02 20:52:21,168 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-06-02 20:53:46,389 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 20:53:46,464 - pyskl - INFO - +top1_acc 0.4416 +top5_acc 0.8497 +2025-06-02 20:53:46,517 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_1.pth was removed +2025-06-02 20:53:47,523 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-06-02 20:53:47,523 - pyskl - INFO - Best top1_acc is 0.4416 at 2 epoch. +2025-06-02 20:53:47,526 - pyskl - INFO - Epoch(val) [2][1184] top1_acc: 0.4416, top5_acc: 0.8497 +2025-06-02 20:54:51,530 - pyskl - INFO - Epoch [3][100/2353] lr: 2.499e-02, eta: 1 day, 18:03:54, time: 0.640, data_time: 0.204, memory: 13127, top1_acc: 0.4281, top5_acc: 0.8337, loss_cls: 5.9183, loss: 5.9183 +2025-06-02 20:55:35,062 - pyskl - INFO - Epoch [3][200/2353] lr: 2.499e-02, eta: 1 day, 18:03:12, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.4238, top5_acc: 0.8194, loss_cls: 5.8855, loss: 5.8855 +2025-06-02 20:56:18,457 - pyskl - INFO - Epoch [3][300/2353] lr: 2.499e-02, eta: 1 day, 18:02:22, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.4263, top5_acc: 0.8219, loss_cls: 5.8589, loss: 5.8589 +2025-06-02 20:57:01,989 - pyskl - INFO - Epoch [3][400/2353] lr: 2.499e-02, eta: 1 day, 18:01:41, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.4369, top5_acc: 0.8181, loss_cls: 5.8381, loss: 5.8381 +2025-06-02 20:57:45,258 - pyskl - INFO - Epoch [3][500/2353] lr: 2.499e-02, eta: 1 day, 18:00:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.4581, top5_acc: 0.8450, loss_cls: 5.6781, loss: 5.6781 +2025-06-02 20:58:28,380 - pyskl - INFO - Epoch [3][600/2353] lr: 2.499e-02, eta: 1 day, 17:59:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.4719, top5_acc: 0.8350, loss_cls: 5.8260, loss: 5.8260 +2025-06-02 20:59:11,555 - pyskl - INFO - Epoch [3][700/2353] lr: 2.499e-02, eta: 1 day, 17:58:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.4506, top5_acc: 0.8413, loss_cls: 5.6900, loss: 5.6900 +2025-06-02 20:59:54,747 - pyskl - INFO - Epoch [3][800/2353] lr: 2.498e-02, eta: 1 day, 17:57:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.4894, top5_acc: 0.8600, loss_cls: 5.5639, loss: 5.5639 +2025-06-02 21:00:38,038 - pyskl - INFO - Epoch [3][900/2353] lr: 2.498e-02, eta: 1 day, 17:56:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.4688, top5_acc: 0.8450, loss_cls: 5.7291, loss: 5.7291 +2025-06-02 21:01:21,252 - pyskl - INFO - Epoch [3][1000/2353] lr: 2.498e-02, eta: 1 day, 17:55:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.4763, top5_acc: 0.8494, loss_cls: 5.6955, loss: 5.6955 +2025-06-02 21:02:04,298 - pyskl - INFO - Epoch [3][1100/2353] lr: 2.498e-02, eta: 1 day, 17:54:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.5106, top5_acc: 0.8594, loss_cls: 5.4180, loss: 5.4180 +2025-06-02 21:02:47,363 - pyskl - INFO - Epoch [3][1200/2353] lr: 2.498e-02, eta: 1 day, 17:53:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5112, top5_acc: 0.8694, loss_cls: 5.4559, loss: 5.4559 +2025-06-02 21:03:30,627 - pyskl - INFO - Epoch [3][1300/2353] lr: 2.498e-02, eta: 1 day, 17:52:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.4856, top5_acc: 0.8700, loss_cls: 5.4883, loss: 5.4883 +2025-06-02 21:04:13,812 - pyskl - INFO - Epoch [3][1400/2353] lr: 2.498e-02, eta: 1 day, 17:51:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5244, top5_acc: 0.8775, loss_cls: 5.4263, loss: 5.4263 +2025-06-02 21:04:57,017 - pyskl - INFO - Epoch [3][1500/2353] lr: 2.498e-02, eta: 1 day, 17:50:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5219, top5_acc: 0.8731, loss_cls: 5.3436, loss: 5.3436 +2025-06-02 21:05:40,206 - pyskl - INFO - Epoch [3][1600/2353] lr: 2.498e-02, eta: 1 day, 17:49:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5238, top5_acc: 0.8850, loss_cls: 5.3088, loss: 5.3088 +2025-06-02 21:06:23,415 - pyskl - INFO - Epoch [3][1700/2353] lr: 2.498e-02, eta: 1 day, 17:48:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5319, top5_acc: 0.8862, loss_cls: 5.4046, loss: 5.4046 +2025-06-02 21:07:06,587 - pyskl - INFO - Epoch [3][1800/2353] lr: 2.498e-02, eta: 1 day, 17:47:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5450, top5_acc: 0.8844, loss_cls: 5.2535, loss: 5.2535 +2025-06-02 21:07:49,842 - pyskl - INFO - Epoch [3][1900/2353] lr: 2.498e-02, eta: 1 day, 17:46:47, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.5244, top5_acc: 0.8750, loss_cls: 5.3091, loss: 5.3091 +2025-06-02 21:08:33,085 - pyskl - INFO - Epoch [3][2000/2353] lr: 2.498e-02, eta: 1 day, 17:45:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5319, top5_acc: 0.8844, loss_cls: 5.2978, loss: 5.2978 +2025-06-02 21:09:16,242 - pyskl - INFO - Epoch [3][2100/2353] lr: 2.498e-02, eta: 1 day, 17:44:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5613, top5_acc: 0.8894, loss_cls: 5.1094, loss: 5.1094 +2025-06-02 21:09:59,276 - pyskl - INFO - Epoch [3][2200/2353] lr: 2.498e-02, eta: 1 day, 17:43:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.5675, top5_acc: 0.8931, loss_cls: 5.1172, loss: 5.1172 +2025-06-02 21:10:42,438 - pyskl - INFO - Epoch [3][2300/2353] lr: 2.498e-02, eta: 1 day, 17:42:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5544, top5_acc: 0.8988, loss_cls: 5.1217, loss: 5.1217 +2025-06-02 21:11:05,906 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-06-02 21:12:31,121 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:12:31,197 - pyskl - INFO - +top1_acc 0.6254 +top5_acc 0.9352 +2025-06-02 21:12:31,257 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_2.pth was removed +2025-06-02 21:12:32,312 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-06-02 21:12:32,313 - pyskl - INFO - Best top1_acc is 0.6254 at 3 epoch. +2025-06-02 21:12:32,317 - pyskl - INFO - Epoch(val) [3][1184] top1_acc: 0.6254, top5_acc: 0.9352 +2025-06-02 21:13:35,682 - pyskl - INFO - Epoch [4][100/2353] lr: 2.497e-02, eta: 1 day, 17:39:24, time: 0.634, data_time: 0.202, memory: 13127, top1_acc: 0.5687, top5_acc: 0.8881, loss_cls: 5.1711, loss: 5.1711 +2025-06-02 21:14:18,863 - pyskl - INFO - Epoch [4][200/2353] lr: 2.497e-02, eta: 1 day, 17:38:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5850, top5_acc: 0.8944, loss_cls: 5.0468, loss: 5.0468 +2025-06-02 21:15:02,071 - pyskl - INFO - Epoch [4][300/2353] lr: 2.497e-02, eta: 1 day, 17:37:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5294, top5_acc: 0.8788, loss_cls: 5.2996, loss: 5.2996 +2025-06-02 21:15:45,294 - pyskl - INFO - Epoch [4][400/2353] lr: 2.497e-02, eta: 1 day, 17:36:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5344, top5_acc: 0.8850, loss_cls: 5.3020, loss: 5.3020 +2025-06-02 21:16:28,424 - pyskl - INFO - Epoch [4][500/2353] lr: 2.497e-02, eta: 1 day, 17:35:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5444, top5_acc: 0.8981, loss_cls: 5.1525, loss: 5.1525 +2025-06-02 21:17:11,564 - pyskl - INFO - Epoch [4][600/2353] lr: 2.497e-02, eta: 1 day, 17:35:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5806, top5_acc: 0.8988, loss_cls: 4.9979, loss: 4.9979 +2025-06-02 21:17:54,695 - pyskl - INFO - Epoch [4][700/2353] lr: 2.497e-02, eta: 1 day, 17:34:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5556, top5_acc: 0.8925, loss_cls: 5.0455, loss: 5.0455 +2025-06-02 21:18:37,699 - pyskl - INFO - Epoch [4][800/2353] lr: 2.497e-02, eta: 1 day, 17:33:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.5850, top5_acc: 0.9025, loss_cls: 4.9683, loss: 4.9683 +2025-06-02 21:19:20,867 - pyskl - INFO - Epoch [4][900/2353] lr: 2.497e-02, eta: 1 day, 17:32:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5981, top5_acc: 0.9056, loss_cls: 4.8725, loss: 4.8725 +2025-06-02 21:20:03,848 - pyskl - INFO - Epoch [4][1000/2353] lr: 2.497e-02, eta: 1 day, 17:31:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6194, top5_acc: 0.9044, loss_cls: 4.8558, loss: 4.8558 +2025-06-02 21:20:47,005 - pyskl - INFO - Epoch [4][1100/2353] lr: 2.497e-02, eta: 1 day, 17:30:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.5969, top5_acc: 0.8975, loss_cls: 4.9178, loss: 4.9178 +2025-06-02 21:21:30,129 - pyskl - INFO - Epoch [4][1200/2353] lr: 2.497e-02, eta: 1 day, 17:29:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5956, top5_acc: 0.8975, loss_cls: 4.9259, loss: 4.9259 +2025-06-02 21:22:13,341 - pyskl - INFO - Epoch [4][1300/2353] lr: 2.497e-02, eta: 1 day, 17:28:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6219, top5_acc: 0.8938, loss_cls: 4.8343, loss: 4.8343 +2025-06-02 21:22:56,448 - pyskl - INFO - Epoch [4][1400/2353] lr: 2.496e-02, eta: 1 day, 17:27:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5988, top5_acc: 0.9038, loss_cls: 4.8912, loss: 4.8912 +2025-06-02 21:23:39,518 - pyskl - INFO - Epoch [4][1500/2353] lr: 2.496e-02, eta: 1 day, 17:27:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6338, top5_acc: 0.9031, loss_cls: 4.7077, loss: 4.7077 +2025-06-02 21:24:22,536 - pyskl - INFO - Epoch [4][1600/2353] lr: 2.496e-02, eta: 1 day, 17:26:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6112, top5_acc: 0.8938, loss_cls: 4.9817, loss: 4.9817 +2025-06-02 21:25:05,662 - pyskl - INFO - Epoch [4][1700/2353] lr: 2.496e-02, eta: 1 day, 17:25:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.5881, top5_acc: 0.9006, loss_cls: 4.8377, loss: 4.8377 +2025-06-02 21:25:48,687 - pyskl - INFO - Epoch [4][1800/2353] lr: 2.496e-02, eta: 1 day, 17:24:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6288, top5_acc: 0.9113, loss_cls: 4.7550, loss: 4.7550 +2025-06-02 21:26:31,731 - pyskl - INFO - Epoch [4][1900/2353] lr: 2.496e-02, eta: 1 day, 17:23:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.6269, top5_acc: 0.9137, loss_cls: 4.7693, loss: 4.7693 +2025-06-02 21:27:14,913 - pyskl - INFO - Epoch [4][2000/2353] lr: 2.496e-02, eta: 1 day, 17:22:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6288, top5_acc: 0.9206, loss_cls: 4.6131, loss: 4.6131 +2025-06-02 21:27:57,995 - pyskl - INFO - Epoch [4][2100/2353] lr: 2.496e-02, eta: 1 day, 17:21:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6425, top5_acc: 0.9169, loss_cls: 4.6395, loss: 4.6395 +2025-06-02 21:28:41,067 - pyskl - INFO - Epoch [4][2200/2353] lr: 2.496e-02, eta: 1 day, 17:20:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6456, top5_acc: 0.9075, loss_cls: 4.5881, loss: 4.5881 +2025-06-02 21:29:24,222 - pyskl - INFO - Epoch [4][2300/2353] lr: 2.496e-02, eta: 1 day, 17:20:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6362, top5_acc: 0.9113, loss_cls: 4.7576, loss: 4.7576 +2025-06-02 21:29:47,586 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-06-02 21:31:12,569 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:31:12,645 - pyskl - INFO - +top1_acc 0.7251 +top5_acc 0.9599 +2025-06-02 21:31:12,703 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_3.pth was removed +2025-06-02 21:31:13,743 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-06-02 21:31:13,743 - pyskl - INFO - Best top1_acc is 0.7251 at 4 epoch. +2025-06-02 21:31:13,746 - pyskl - INFO - Epoch(val) [4][1184] top1_acc: 0.7251, top5_acc: 0.9599 +2025-06-02 21:32:17,409 - pyskl - INFO - Epoch [5][100/2353] lr: 2.496e-02, eta: 1 day, 17:17:25, time: 0.637, data_time: 0.203, memory: 13127, top1_acc: 0.6381, top5_acc: 0.9225, loss_cls: 4.6669, loss: 4.6669 +2025-06-02 21:33:00,564 - pyskl - INFO - Epoch [5][200/2353] lr: 2.495e-02, eta: 1 day, 17:16:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6488, top5_acc: 0.9256, loss_cls: 4.6280, loss: 4.6280 +2025-06-02 21:33:43,913 - pyskl - INFO - Epoch [5][300/2353] lr: 2.495e-02, eta: 1 day, 17:15:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6338, top5_acc: 0.9169, loss_cls: 4.7067, loss: 4.7067 +2025-06-02 21:34:27,290 - pyskl - INFO - Epoch [5][400/2353] lr: 2.495e-02, eta: 1 day, 17:15:16, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.6219, top5_acc: 0.9119, loss_cls: 4.7622, loss: 4.7622 +2025-06-02 21:35:10,636 - pyskl - INFO - Epoch [5][500/2353] lr: 2.495e-02, eta: 1 day, 17:14:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6444, top5_acc: 0.9194, loss_cls: 4.6026, loss: 4.6026 +2025-06-02 21:35:53,930 - pyskl - INFO - Epoch [5][600/2353] lr: 2.495e-02, eta: 1 day, 17:13:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6319, top5_acc: 0.9150, loss_cls: 4.5460, loss: 4.5460 +2025-06-02 21:36:37,135 - pyskl - INFO - Epoch [5][700/2353] lr: 2.495e-02, eta: 1 day, 17:13:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6531, top5_acc: 0.9281, loss_cls: 4.4380, loss: 4.4380 +2025-06-02 21:37:20,264 - pyskl - INFO - Epoch [5][800/2353] lr: 2.495e-02, eta: 1 day, 17:12:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6587, top5_acc: 0.9200, loss_cls: 4.4658, loss: 4.4658 +2025-06-02 21:38:03,452 - pyskl - INFO - Epoch [5][900/2353] lr: 2.495e-02, eta: 1 day, 17:11:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6456, top5_acc: 0.9175, loss_cls: 4.5428, loss: 4.5428 +2025-06-02 21:38:46,564 - pyskl - INFO - Epoch [5][1000/2353] lr: 2.495e-02, eta: 1 day, 17:10:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6262, top5_acc: 0.9175, loss_cls: 4.6458, loss: 4.6458 +2025-06-02 21:39:29,769 - pyskl - INFO - Epoch [5][1100/2353] lr: 2.495e-02, eta: 1 day, 17:09:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6469, top5_acc: 0.9206, loss_cls: 4.5616, loss: 4.5616 +2025-06-02 21:40:12,974 - pyskl - INFO - Epoch [5][1200/2353] lr: 2.494e-02, eta: 1 day, 17:09:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6525, top5_acc: 0.9169, loss_cls: 4.5371, loss: 4.5371 +2025-06-02 21:40:56,143 - pyskl - INFO - Epoch [5][1300/2353] lr: 2.494e-02, eta: 1 day, 17:08:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6606, top5_acc: 0.9275, loss_cls: 4.4294, loss: 4.4294 +2025-06-02 21:41:39,279 - pyskl - INFO - Epoch [5][1400/2353] lr: 2.494e-02, eta: 1 day, 17:07:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6650, top5_acc: 0.9250, loss_cls: 4.4799, loss: 4.4799 +2025-06-02 21:42:22,476 - pyskl - INFO - Epoch [5][1500/2353] lr: 2.494e-02, eta: 1 day, 17:06:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6531, top5_acc: 0.9200, loss_cls: 4.4313, loss: 4.4313 +2025-06-02 21:43:05,620 - pyskl - INFO - Epoch [5][1600/2353] lr: 2.494e-02, eta: 1 day, 17:06:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6494, top5_acc: 0.9150, loss_cls: 4.4772, loss: 4.4772 +2025-06-02 21:43:48,845 - pyskl - INFO - Epoch [5][1700/2353] lr: 2.494e-02, eta: 1 day, 17:05:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6525, top5_acc: 0.9219, loss_cls: 4.5688, loss: 4.5688 +2025-06-02 21:44:32,002 - pyskl - INFO - Epoch [5][1800/2353] lr: 2.494e-02, eta: 1 day, 17:04:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6687, top5_acc: 0.9287, loss_cls: 4.5119, loss: 4.5119 +2025-06-02 21:45:15,098 - pyskl - INFO - Epoch [5][1900/2353] lr: 2.494e-02, eta: 1 day, 17:03:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6637, top5_acc: 0.9125, loss_cls: 4.4612, loss: 4.4612 +2025-06-02 21:45:58,306 - pyskl - INFO - Epoch [5][2000/2353] lr: 2.494e-02, eta: 1 day, 17:02:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6787, top5_acc: 0.9256, loss_cls: 4.3983, loss: 4.3983 +2025-06-02 21:46:41,536 - pyskl - INFO - Epoch [5][2100/2353] lr: 2.493e-02, eta: 1 day, 17:02:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6756, top5_acc: 0.9281, loss_cls: 4.3359, loss: 4.3359 +2025-06-02 21:47:24,768 - pyskl - INFO - Epoch [5][2200/2353] lr: 2.493e-02, eta: 1 day, 17:01:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6794, top5_acc: 0.9256, loss_cls: 4.3939, loss: 4.3939 +2025-06-02 21:48:07,888 - pyskl - INFO - Epoch [5][2300/2353] lr: 2.493e-02, eta: 1 day, 17:00:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6781, top5_acc: 0.9350, loss_cls: 4.3690, loss: 4.3690 +2025-06-02 21:48:31,350 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-06-02 21:57:29,782 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 21:57:29,859 - pyskl - INFO - +top1_acc 0.7365 +top5_acc 0.9642 +2025-06-02 21:57:29,913 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_4.pth was removed +2025-06-02 21:57:30,901 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-06-02 21:57:30,901 - pyskl - INFO - Best top1_acc is 0.7365 at 5 epoch. +2025-06-02 21:57:30,904 - pyskl - INFO - Epoch(val) [5][1184] top1_acc: 0.7365, top5_acc: 0.9642 +2025-06-02 21:58:33,937 - pyskl - INFO - Epoch [6][100/2353] lr: 2.493e-02, eta: 1 day, 16:58:05, time: 0.630, data_time: 0.201, memory: 13127, top1_acc: 0.6887, top5_acc: 0.9306, loss_cls: 4.2918, loss: 4.2918 +2025-06-02 21:59:17,115 - pyskl - INFO - Epoch [6][200/2353] lr: 2.493e-02, eta: 1 day, 16:57:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6750, top5_acc: 0.9369, loss_cls: 4.3861, loss: 4.3861 +2025-06-02 22:00:00,446 - pyskl - INFO - Epoch [6][300/2353] lr: 2.493e-02, eta: 1 day, 16:56:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6987, top5_acc: 0.9356, loss_cls: 4.3147, loss: 4.3147 +2025-06-02 22:00:43,722 - pyskl - INFO - Epoch [6][400/2353] lr: 2.493e-02, eta: 1 day, 16:55:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6775, top5_acc: 0.9325, loss_cls: 4.4100, loss: 4.4100 +2025-06-02 22:01:27,007 - pyskl - INFO - Epoch [6][500/2353] lr: 2.493e-02, eta: 1 day, 16:55:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7025, top5_acc: 0.9369, loss_cls: 4.3049, loss: 4.3049 +2025-06-02 22:02:10,480 - pyskl - INFO - Epoch [6][600/2353] lr: 2.492e-02, eta: 1 day, 16:54:38, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.6994, top5_acc: 0.9406, loss_cls: 4.2089, loss: 4.2089 +2025-06-02 22:02:53,808 - pyskl - INFO - Epoch [6][700/2353] lr: 2.492e-02, eta: 1 day, 16:53:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.6875, top5_acc: 0.9269, loss_cls: 4.2998, loss: 4.2998 +2025-06-02 22:03:36,870 - pyskl - INFO - Epoch [6][800/2353] lr: 2.492e-02, eta: 1 day, 16:53:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6875, top5_acc: 0.9431, loss_cls: 4.2298, loss: 4.2298 +2025-06-02 22:04:20,036 - pyskl - INFO - Epoch [6][900/2353] lr: 2.492e-02, eta: 1 day, 16:52:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6787, top5_acc: 0.9331, loss_cls: 4.3703, loss: 4.3703 +2025-06-02 22:05:03,216 - pyskl - INFO - Epoch [6][1000/2353] lr: 2.492e-02, eta: 1 day, 16:51:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6975, top5_acc: 0.9363, loss_cls: 4.3069, loss: 4.3069 +2025-06-02 22:05:46,323 - pyskl - INFO - Epoch [6][1100/2353] lr: 2.492e-02, eta: 1 day, 16:50:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6737, top5_acc: 0.9306, loss_cls: 4.3411, loss: 4.3411 +2025-06-02 22:06:29,544 - pyskl - INFO - Epoch [6][1200/2353] lr: 2.492e-02, eta: 1 day, 16:50:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6806, top5_acc: 0.9269, loss_cls: 4.4178, loss: 4.4178 +2025-06-02 22:07:12,620 - pyskl - INFO - Epoch [6][1300/2353] lr: 2.492e-02, eta: 1 day, 16:49:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6956, top5_acc: 0.9363, loss_cls: 4.2919, loss: 4.2919 +2025-06-02 22:07:55,830 - pyskl - INFO - Epoch [6][1400/2353] lr: 2.491e-02, eta: 1 day, 16:48:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6644, top5_acc: 0.9344, loss_cls: 4.3915, loss: 4.3915 +2025-06-02 22:08:38,974 - pyskl - INFO - Epoch [6][1500/2353] lr: 2.491e-02, eta: 1 day, 16:47:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6869, top5_acc: 0.9331, loss_cls: 4.2884, loss: 4.2884 +2025-06-02 22:09:22,235 - pyskl - INFO - Epoch [6][1600/2353] lr: 2.491e-02, eta: 1 day, 16:47:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7063, top5_acc: 0.9344, loss_cls: 4.2389, loss: 4.2389 +2025-06-02 22:10:05,440 - pyskl - INFO - Epoch [6][1700/2353] lr: 2.491e-02, eta: 1 day, 16:46:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7013, top5_acc: 0.9431, loss_cls: 4.1283, loss: 4.1283 +2025-06-02 22:10:48,595 - pyskl - INFO - Epoch [6][1800/2353] lr: 2.491e-02, eta: 1 day, 16:45:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6787, top5_acc: 0.9331, loss_cls: 4.2209, loss: 4.2209 +2025-06-02 22:11:31,738 - pyskl - INFO - Epoch [6][1900/2353] lr: 2.491e-02, eta: 1 day, 16:44:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6981, top5_acc: 0.9294, loss_cls: 4.2026, loss: 4.2026 +2025-06-02 22:12:14,930 - pyskl - INFO - Epoch [6][2000/2353] lr: 2.491e-02, eta: 1 day, 16:44:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6894, top5_acc: 0.9325, loss_cls: 4.2598, loss: 4.2598 +2025-06-02 22:12:58,080 - pyskl - INFO - Epoch [6][2100/2353] lr: 2.490e-02, eta: 1 day, 16:43:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6856, top5_acc: 0.9369, loss_cls: 4.3765, loss: 4.3765 +2025-06-02 22:13:41,246 - pyskl - INFO - Epoch [6][2200/2353] lr: 2.490e-02, eta: 1 day, 16:42:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6775, top5_acc: 0.9356, loss_cls: 4.2932, loss: 4.2932 +2025-06-02 22:14:24,382 - pyskl - INFO - Epoch [6][2300/2353] lr: 2.490e-02, eta: 1 day, 16:41:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7075, top5_acc: 0.9369, loss_cls: 4.1446, loss: 4.1446 +2025-06-02 22:14:47,785 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-06-02 22:16:13,043 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:16:13,120 - pyskl - INFO - +top1_acc 0.7547 +top5_acc 0.9704 +2025-06-02 22:16:13,178 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_5.pth was removed +2025-06-02 22:16:14,246 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-06-02 22:16:14,247 - pyskl - INFO - Best top1_acc is 0.7547 at 6 epoch. +2025-06-02 22:16:14,250 - pyskl - INFO - Epoch(val) [6][1184] top1_acc: 0.7547, top5_acc: 0.9704 +2025-06-02 22:17:17,963 - pyskl - INFO - Epoch [7][100/2353] lr: 2.490e-02, eta: 1 day, 16:39:49, time: 0.637, data_time: 0.204, memory: 13127, top1_acc: 0.6969, top5_acc: 0.9375, loss_cls: 4.2056, loss: 4.2056 +2025-06-02 22:18:01,137 - pyskl - INFO - Epoch [7][200/2353] lr: 2.490e-02, eta: 1 day, 16:39:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7250, top5_acc: 0.9394, loss_cls: 4.2223, loss: 4.2223 +2025-06-02 22:18:44,387 - pyskl - INFO - Epoch [7][300/2353] lr: 2.490e-02, eta: 1 day, 16:38:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6963, top5_acc: 0.9375, loss_cls: 4.1971, loss: 4.1971 +2025-06-02 22:19:27,540 - pyskl - INFO - Epoch [7][400/2353] lr: 2.490e-02, eta: 1 day, 16:37:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6906, top5_acc: 0.9375, loss_cls: 4.1897, loss: 4.1897 +2025-06-02 22:20:10,744 - pyskl - INFO - Epoch [7][500/2353] lr: 2.489e-02, eta: 1 day, 16:36:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7044, top5_acc: 0.9450, loss_cls: 4.1653, loss: 4.1653 +2025-06-02 22:20:53,923 - pyskl - INFO - Epoch [7][600/2353] lr: 2.489e-02, eta: 1 day, 16:36:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7188, top5_acc: 0.9406, loss_cls: 4.1142, loss: 4.1142 +2025-06-02 22:21:37,085 - pyskl - INFO - Epoch [7][700/2353] lr: 2.489e-02, eta: 1 day, 16:35:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6925, top5_acc: 0.9431, loss_cls: 4.1032, loss: 4.1032 +2025-06-02 22:22:20,178 - pyskl - INFO - Epoch [7][800/2353] lr: 2.489e-02, eta: 1 day, 16:34:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7131, top5_acc: 0.9456, loss_cls: 4.1499, loss: 4.1499 +2025-06-02 22:23:03,238 - pyskl - INFO - Epoch [7][900/2353] lr: 2.489e-02, eta: 1 day, 16:33:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7081, top5_acc: 0.9306, loss_cls: 4.1159, loss: 4.1159 +2025-06-02 22:23:46,331 - pyskl - INFO - Epoch [7][1000/2353] lr: 2.489e-02, eta: 1 day, 16:33:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7050, top5_acc: 0.9419, loss_cls: 4.2094, loss: 4.2094 +2025-06-02 22:24:29,518 - pyskl - INFO - Epoch [7][1100/2353] lr: 2.489e-02, eta: 1 day, 16:32:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7244, top5_acc: 0.9394, loss_cls: 4.1314, loss: 4.1314 +2025-06-02 22:25:12,670 - pyskl - INFO - Epoch [7][1200/2353] lr: 2.488e-02, eta: 1 day, 16:31:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6981, top5_acc: 0.9350, loss_cls: 4.2231, loss: 4.2231 +2025-06-02 22:25:55,828 - pyskl - INFO - Epoch [7][1300/2353] lr: 2.488e-02, eta: 1 day, 16:30:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7225, top5_acc: 0.9463, loss_cls: 4.0607, loss: 4.0607 +2025-06-02 22:26:39,000 - pyskl - INFO - Epoch [7][1400/2353] lr: 2.488e-02, eta: 1 day, 16:30:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7056, top5_acc: 0.9331, loss_cls: 4.2654, loss: 4.2654 +2025-06-02 22:27:22,169 - pyskl - INFO - Epoch [7][1500/2353] lr: 2.488e-02, eta: 1 day, 16:29:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7212, top5_acc: 0.9506, loss_cls: 4.1454, loss: 4.1454 +2025-06-02 22:28:05,362 - pyskl - INFO - Epoch [7][1600/2353] lr: 2.488e-02, eta: 1 day, 16:28:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6981, top5_acc: 0.9375, loss_cls: 4.1082, loss: 4.1082 +2025-06-02 22:28:48,551 - pyskl - INFO - Epoch [7][1700/2353] lr: 2.488e-02, eta: 1 day, 16:27:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.6831, top5_acc: 0.9400, loss_cls: 4.1767, loss: 4.1767 +2025-06-02 22:29:31,626 - pyskl - INFO - Epoch [7][1800/2353] lr: 2.487e-02, eta: 1 day, 16:27:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7075, top5_acc: 0.9413, loss_cls: 4.0954, loss: 4.0954 +2025-06-02 22:30:14,718 - pyskl - INFO - Epoch [7][1900/2353] lr: 2.487e-02, eta: 1 day, 16:26:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7256, top5_acc: 0.9513, loss_cls: 4.0672, loss: 4.0672 +2025-06-02 22:30:57,813 - pyskl - INFO - Epoch [7][2000/2353] lr: 2.487e-02, eta: 1 day, 16:25:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7200, top5_acc: 0.9419, loss_cls: 4.0644, loss: 4.0644 +2025-06-02 22:31:40,908 - pyskl - INFO - Epoch [7][2100/2353] lr: 2.487e-02, eta: 1 day, 16:24:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7075, top5_acc: 0.9475, loss_cls: 4.0978, loss: 4.0978 +2025-06-02 22:32:23,978 - pyskl - INFO - Epoch [7][2200/2353] lr: 2.487e-02, eta: 1 day, 16:24:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6919, top5_acc: 0.9369, loss_cls: 4.2033, loss: 4.2033 +2025-06-02 22:33:07,090 - pyskl - INFO - Epoch [7][2300/2353] lr: 2.487e-02, eta: 1 day, 16:23:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.6869, top5_acc: 0.9313, loss_cls: 4.2434, loss: 4.2434 +2025-06-02 22:33:30,602 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-06-02 22:34:55,560 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:34:55,636 - pyskl - INFO - +top1_acc 0.7856 +top5_acc 0.9743 +2025-06-02 22:34:55,697 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_6.pth was removed +2025-06-02 22:34:56,776 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-06-02 22:34:56,777 - pyskl - INFO - Best top1_acc is 0.7856 at 7 epoch. +2025-06-02 22:34:56,780 - pyskl - INFO - Epoch(val) [7][1184] top1_acc: 0.7856, top5_acc: 0.9743 +2025-06-02 22:36:00,531 - pyskl - INFO - Epoch [8][100/2353] lr: 2.486e-02, eta: 1 day, 16:21:30, time: 0.637, data_time: 0.204, memory: 13127, top1_acc: 0.7144, top5_acc: 0.9400, loss_cls: 4.0655, loss: 4.0655 +2025-06-02 22:36:43,564 - pyskl - INFO - Epoch [8][200/2353] lr: 2.486e-02, eta: 1 day, 16:20:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7069, top5_acc: 0.9481, loss_cls: 4.0533, loss: 4.0533 +2025-06-02 22:37:26,708 - pyskl - INFO - Epoch [8][300/2353] lr: 2.486e-02, eta: 1 day, 16:20:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7200, top5_acc: 0.9550, loss_cls: 4.0932, loss: 4.0932 +2025-06-02 22:38:09,822 - pyskl - INFO - Epoch [8][400/2353] lr: 2.486e-02, eta: 1 day, 16:19:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7106, top5_acc: 0.9469, loss_cls: 4.0673, loss: 4.0673 +2025-06-02 22:38:53,058 - pyskl - INFO - Epoch [8][500/2353] lr: 2.486e-02, eta: 1 day, 16:18:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7262, top5_acc: 0.9375, loss_cls: 4.0253, loss: 4.0253 +2025-06-02 22:39:36,384 - pyskl - INFO - Epoch [8][600/2353] lr: 2.486e-02, eta: 1 day, 16:17:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7281, top5_acc: 0.9394, loss_cls: 4.0491, loss: 4.0491 +2025-06-02 22:40:19,768 - pyskl - INFO - Epoch [8][700/2353] lr: 2.485e-02, eta: 1 day, 16:17:13, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7300, top5_acc: 0.9425, loss_cls: 3.8889, loss: 3.8889 +2025-06-02 22:41:02,994 - pyskl - INFO - Epoch [8][800/2353] lr: 2.485e-02, eta: 1 day, 16:16:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7200, top5_acc: 0.9475, loss_cls: 4.0361, loss: 4.0361 +2025-06-02 22:41:46,171 - pyskl - INFO - Epoch [8][900/2353] lr: 2.485e-02, eta: 1 day, 16:15:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7087, top5_acc: 0.9481, loss_cls: 4.0655, loss: 4.0655 +2025-06-02 22:42:29,333 - pyskl - INFO - Epoch [8][1000/2353] lr: 2.485e-02, eta: 1 day, 16:15:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7331, top5_acc: 0.9413, loss_cls: 4.0732, loss: 4.0732 +2025-06-02 22:43:12,463 - pyskl - INFO - Epoch [8][1100/2353] lr: 2.485e-02, eta: 1 day, 16:14:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7069, top5_acc: 0.9456, loss_cls: 4.0660, loss: 4.0660 +2025-06-02 22:43:55,643 - pyskl - INFO - Epoch [8][1200/2353] lr: 2.485e-02, eta: 1 day, 16:13:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7469, top5_acc: 0.9513, loss_cls: 3.9664, loss: 3.9664 +2025-06-02 22:44:38,776 - pyskl - INFO - Epoch [8][1300/2353] lr: 2.484e-02, eta: 1 day, 16:12:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7275, top5_acc: 0.9519, loss_cls: 3.9650, loss: 3.9650 +2025-06-02 22:45:21,883 - pyskl - INFO - Epoch [8][1400/2353] lr: 2.484e-02, eta: 1 day, 16:12:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7256, top5_acc: 0.9450, loss_cls: 3.9272, loss: 3.9272 +2025-06-02 22:46:05,026 - pyskl - INFO - Epoch [8][1500/2353] lr: 2.484e-02, eta: 1 day, 16:11:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7163, top5_acc: 0.9431, loss_cls: 4.1219, loss: 4.1219 +2025-06-02 22:46:48,200 - pyskl - INFO - Epoch [8][1600/2353] lr: 2.484e-02, eta: 1 day, 16:10:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7163, top5_acc: 0.9406, loss_cls: 4.0648, loss: 4.0648 +2025-06-02 22:47:31,323 - pyskl - INFO - Epoch [8][1700/2353] lr: 2.484e-02, eta: 1 day, 16:09:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7406, top5_acc: 0.9500, loss_cls: 3.9233, loss: 3.9233 +2025-06-02 22:48:14,443 - pyskl - INFO - Epoch [8][1800/2353] lr: 2.484e-02, eta: 1 day, 16:09:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7175, top5_acc: 0.9400, loss_cls: 4.1048, loss: 4.1048 +2025-06-02 22:48:57,559 - pyskl - INFO - Epoch [8][1900/2353] lr: 2.483e-02, eta: 1 day, 16:08:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7381, top5_acc: 0.9437, loss_cls: 4.0011, loss: 4.0011 +2025-06-02 22:49:40,656 - pyskl - INFO - Epoch [8][2000/2353] lr: 2.483e-02, eta: 1 day, 16:07:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7281, top5_acc: 0.9425, loss_cls: 3.9762, loss: 3.9762 +2025-06-02 22:50:23,766 - pyskl - INFO - Epoch [8][2100/2353] lr: 2.483e-02, eta: 1 day, 16:06:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7600, top5_acc: 0.9556, loss_cls: 3.7928, loss: 3.7928 +2025-06-02 22:51:06,859 - pyskl - INFO - Epoch [8][2200/2353] lr: 2.483e-02, eta: 1 day, 16:06:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7312, top5_acc: 0.9450, loss_cls: 3.9594, loss: 3.9594 +2025-06-02 22:51:49,931 - pyskl - INFO - Epoch [8][2300/2353] lr: 2.483e-02, eta: 1 day, 16:05:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7194, top5_acc: 0.9469, loss_cls: 3.9035, loss: 3.9035 +2025-06-02 22:52:13,376 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-06-02 22:53:38,787 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 22:53:38,862 - pyskl - INFO - +top1_acc 0.7794 +top5_acc 0.9743 +2025-06-02 22:53:38,865 - pyskl - INFO - Epoch(val) [8][1184] top1_acc: 0.7794, top5_acc: 0.9743 +2025-06-02 22:54:42,860 - pyskl - INFO - Epoch [9][100/2353] lr: 2.482e-02, eta: 1 day, 16:03:42, time: 0.640, data_time: 0.204, memory: 13127, top1_acc: 0.7500, top5_acc: 0.9519, loss_cls: 3.8190, loss: 3.8190 +2025-06-02 22:55:26,151 - pyskl - INFO - Epoch [9][200/2353] lr: 2.482e-02, eta: 1 day, 16:03:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7525, top5_acc: 0.9519, loss_cls: 3.9610, loss: 3.9610 +2025-06-02 22:56:09,380 - pyskl - INFO - Epoch [9][300/2353] lr: 2.482e-02, eta: 1 day, 16:02:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7262, top5_acc: 0.9537, loss_cls: 3.9611, loss: 3.9611 +2025-06-02 22:56:52,458 - pyskl - INFO - Epoch [9][400/2353] lr: 2.482e-02, eta: 1 day, 16:01:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7269, top5_acc: 0.9531, loss_cls: 3.9544, loss: 3.9544 +2025-06-02 22:57:35,451 - pyskl - INFO - Epoch [9][500/2353] lr: 2.482e-02, eta: 1 day, 16:00:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7462, top5_acc: 0.9506, loss_cls: 3.9071, loss: 3.9071 +2025-06-02 22:58:18,604 - pyskl - INFO - Epoch [9][600/2353] lr: 2.481e-02, eta: 1 day, 16:00:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7312, top5_acc: 0.9456, loss_cls: 3.9135, loss: 3.9135 +2025-06-02 22:59:01,712 - pyskl - INFO - Epoch [9][700/2353] lr: 2.481e-02, eta: 1 day, 15:59:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9525, loss_cls: 3.9318, loss: 3.9318 +2025-06-02 22:59:44,813 - pyskl - INFO - Epoch [9][800/2353] lr: 2.481e-02, eta: 1 day, 15:58:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7262, top5_acc: 0.9456, loss_cls: 3.9433, loss: 3.9433 +2025-06-02 23:00:27,864 - pyskl - INFO - Epoch [9][900/2353] lr: 2.481e-02, eta: 1 day, 15:57:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7469, top5_acc: 0.9475, loss_cls: 3.8926, loss: 3.8926 +2025-06-02 23:01:10,956 - pyskl - INFO - Epoch [9][1000/2353] lr: 2.481e-02, eta: 1 day, 15:57:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9463, loss_cls: 3.8273, loss: 3.8273 +2025-06-02 23:01:54,157 - pyskl - INFO - Epoch [9][1100/2353] lr: 2.480e-02, eta: 1 day, 15:56:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7325, top5_acc: 0.9500, loss_cls: 3.9225, loss: 3.9225 +2025-06-02 23:02:37,099 - pyskl - INFO - Epoch [9][1200/2353] lr: 2.480e-02, eta: 1 day, 15:55:35, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7306, top5_acc: 0.9450, loss_cls: 3.9311, loss: 3.9311 +2025-06-02 23:03:20,242 - pyskl - INFO - Epoch [9][1300/2353] lr: 2.480e-02, eta: 1 day, 15:54:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7600, top5_acc: 0.9544, loss_cls: 3.8713, loss: 3.8713 +2025-06-02 23:04:03,614 - pyskl - INFO - Epoch [9][1400/2353] lr: 2.480e-02, eta: 1 day, 15:54:12, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7469, top5_acc: 0.9506, loss_cls: 3.8349, loss: 3.8349 +2025-06-02 23:04:46,709 - pyskl - INFO - Epoch [9][1500/2353] lr: 2.480e-02, eta: 1 day, 15:53:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7338, top5_acc: 0.9544, loss_cls: 3.9484, loss: 3.9484 +2025-06-02 23:05:29,742 - pyskl - INFO - Epoch [9][1600/2353] lr: 2.479e-02, eta: 1 day, 15:52:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7356, top5_acc: 0.9531, loss_cls: 3.9150, loss: 3.9150 +2025-06-02 23:06:12,819 - pyskl - INFO - Epoch [9][1700/2353] lr: 2.479e-02, eta: 1 day, 15:51:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7294, top5_acc: 0.9494, loss_cls: 3.9935, loss: 3.9935 +2025-06-02 23:06:55,950 - pyskl - INFO - Epoch [9][1800/2353] lr: 2.479e-02, eta: 1 day, 15:51:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7375, top5_acc: 0.9506, loss_cls: 3.9238, loss: 3.9238 +2025-06-02 23:07:39,163 - pyskl - INFO - Epoch [9][1900/2353] lr: 2.479e-02, eta: 1 day, 15:50:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7394, top5_acc: 0.9487, loss_cls: 3.8740, loss: 3.8740 +2025-06-02 23:08:22,253 - pyskl - INFO - Epoch [9][2000/2353] lr: 2.479e-02, eta: 1 day, 15:49:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7544, top5_acc: 0.9500, loss_cls: 3.8704, loss: 3.8704 +2025-06-02 23:09:05,361 - pyskl - INFO - Epoch [9][2100/2353] lr: 2.478e-02, eta: 1 day, 15:49:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7394, top5_acc: 0.9531, loss_cls: 3.8561, loss: 3.8561 +2025-06-02 23:09:48,378 - pyskl - INFO - Epoch [9][2200/2353] lr: 2.478e-02, eta: 1 day, 15:48:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7412, top5_acc: 0.9563, loss_cls: 3.7911, loss: 3.7911 +2025-06-02 23:10:31,456 - pyskl - INFO - Epoch [9][2300/2353] lr: 2.478e-02, eta: 1 day, 15:47:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7381, top5_acc: 0.9500, loss_cls: 3.7704, loss: 3.7704 +2025-06-02 23:10:55,092 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-06-02 23:12:20,077 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:12:20,152 - pyskl - INFO - +top1_acc 0.7886 +top5_acc 0.9723 +2025-06-02 23:12:20,206 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_7.pth was removed +2025-06-02 23:12:21,234 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-06-02 23:12:21,234 - pyskl - INFO - Best top1_acc is 0.7886 at 9 epoch. +2025-06-02 23:12:21,237 - pyskl - INFO - Epoch(val) [9][1184] top1_acc: 0.7886, top5_acc: 0.9723 +2025-06-02 23:13:24,944 - pyskl - INFO - Epoch [10][100/2353] lr: 2.478e-02, eta: 1 day, 15:45:49, time: 0.637, data_time: 0.204, memory: 13127, top1_acc: 0.7456, top5_acc: 0.9531, loss_cls: 3.7862, loss: 3.7862 +2025-06-02 23:14:08,143 - pyskl - INFO - Epoch [10][200/2353] lr: 2.477e-02, eta: 1 day, 15:45:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7425, top5_acc: 0.9575, loss_cls: 3.8159, loss: 3.8159 +2025-06-02 23:14:51,264 - pyskl - INFO - Epoch [10][300/2353] lr: 2.477e-02, eta: 1 day, 15:44:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7400, top5_acc: 0.9487, loss_cls: 3.7868, loss: 3.7868 +2025-06-02 23:15:34,463 - pyskl - INFO - Epoch [10][400/2353] lr: 2.477e-02, eta: 1 day, 15:43:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7500, top5_acc: 0.9563, loss_cls: 3.7795, loss: 3.7795 +2025-06-02 23:16:17,623 - pyskl - INFO - Epoch [10][500/2353] lr: 2.477e-02, eta: 1 day, 15:42:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9363, loss_cls: 3.8529, loss: 3.8529 +2025-06-02 23:17:00,737 - pyskl - INFO - Epoch [10][600/2353] lr: 2.477e-02, eta: 1 day, 15:42:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9613, loss_cls: 3.7635, loss: 3.7635 +2025-06-02 23:17:44,031 - pyskl - INFO - Epoch [10][700/2353] lr: 2.476e-02, eta: 1 day, 15:41:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7344, top5_acc: 0.9525, loss_cls: 3.9020, loss: 3.9020 +2025-06-02 23:18:27,296 - pyskl - INFO - Epoch [10][800/2353] lr: 2.476e-02, eta: 1 day, 15:40:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7381, top5_acc: 0.9506, loss_cls: 3.9471, loss: 3.9471 +2025-06-02 23:19:10,637 - pyskl - INFO - Epoch [10][900/2353] lr: 2.476e-02, eta: 1 day, 15:40:10, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7369, top5_acc: 0.9500, loss_cls: 3.9442, loss: 3.9442 +2025-06-02 23:19:53,790 - pyskl - INFO - Epoch [10][1000/2353] lr: 2.476e-02, eta: 1 day, 15:39:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9563, loss_cls: 3.8529, loss: 3.8529 +2025-06-02 23:20:37,170 - pyskl - INFO - Epoch [10][1100/2353] lr: 2.476e-02, eta: 1 day, 15:38:47, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9600, loss_cls: 3.7377, loss: 3.7377 +2025-06-02 23:21:20,381 - pyskl - INFO - Epoch [10][1200/2353] lr: 2.475e-02, eta: 1 day, 15:38:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7419, top5_acc: 0.9413, loss_cls: 3.9501, loss: 3.9501 +2025-06-02 23:22:03,621 - pyskl - INFO - Epoch [10][1300/2353] lr: 2.475e-02, eta: 1 day, 15:37:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7656, top5_acc: 0.9513, loss_cls: 3.7378, loss: 3.7378 +2025-06-02 23:22:47,012 - pyskl - INFO - Epoch [10][1400/2353] lr: 2.475e-02, eta: 1 day, 15:36:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7606, top5_acc: 0.9531, loss_cls: 3.7077, loss: 3.7077 +2025-06-02 23:23:30,117 - pyskl - INFO - Epoch [10][1500/2353] lr: 2.475e-02, eta: 1 day, 15:35:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9506, loss_cls: 3.8900, loss: 3.8900 +2025-06-02 23:24:13,444 - pyskl - INFO - Epoch [10][1600/2353] lr: 2.474e-02, eta: 1 day, 15:35:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7656, top5_acc: 0.9594, loss_cls: 3.7355, loss: 3.7355 +2025-06-02 23:24:56,694 - pyskl - INFO - Epoch [10][1700/2353] lr: 2.474e-02, eta: 1 day, 15:34:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7562, top5_acc: 0.9663, loss_cls: 3.7581, loss: 3.7581 +2025-06-02 23:25:39,803 - pyskl - INFO - Epoch [10][1800/2353] lr: 2.474e-02, eta: 1 day, 15:33:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7562, top5_acc: 0.9506, loss_cls: 3.7619, loss: 3.7619 +2025-06-02 23:26:22,915 - pyskl - INFO - Epoch [10][1900/2353] lr: 2.474e-02, eta: 1 day, 15:33:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7688, top5_acc: 0.9569, loss_cls: 3.7207, loss: 3.7207 +2025-06-02 23:27:05,978 - pyskl - INFO - Epoch [10][2000/2353] lr: 2.473e-02, eta: 1 day, 15:32:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7481, top5_acc: 0.9663, loss_cls: 3.7917, loss: 3.7917 +2025-06-02 23:27:49,142 - pyskl - INFO - Epoch [10][2100/2353] lr: 2.473e-02, eta: 1 day, 15:31:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7525, top5_acc: 0.9487, loss_cls: 3.8142, loss: 3.8142 +2025-06-02 23:28:32,212 - pyskl - INFO - Epoch [10][2200/2353] lr: 2.473e-02, eta: 1 day, 15:30:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7469, top5_acc: 0.9613, loss_cls: 3.8433, loss: 3.8433 +2025-06-02 23:29:15,355 - pyskl - INFO - Epoch [10][2300/2353] lr: 2.473e-02, eta: 1 day, 15:30:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7412, top5_acc: 0.9500, loss_cls: 3.7937, loss: 3.7937 +2025-06-02 23:29:38,780 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-06-02 23:38:26,831 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:38:26,905 - pyskl - INFO - +top1_acc 0.7677 +top5_acc 0.9667 +2025-06-02 23:38:26,908 - pyskl - INFO - Epoch(val) [10][1184] top1_acc: 0.7677, top5_acc: 0.9667 +2025-06-02 23:39:30,130 - pyskl - INFO - Epoch [11][100/2353] lr: 2.472e-02, eta: 1 day, 15:28:26, time: 0.632, data_time: 0.201, memory: 13127, top1_acc: 0.7738, top5_acc: 0.9625, loss_cls: 3.6702, loss: 3.6702 +2025-06-02 23:40:13,293 - pyskl - INFO - Epoch [11][200/2353] lr: 2.472e-02, eta: 1 day, 15:27:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7538, top5_acc: 0.9544, loss_cls: 3.7938, loss: 3.7938 +2025-06-02 23:40:56,284 - pyskl - INFO - Epoch [11][300/2353] lr: 2.472e-02, eta: 1 day, 15:26:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7462, top5_acc: 0.9556, loss_cls: 3.7459, loss: 3.7459 +2025-06-02 23:41:39,334 - pyskl - INFO - Epoch [11][400/2353] lr: 2.472e-02, eta: 1 day, 15:26:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7675, top5_acc: 0.9456, loss_cls: 3.7272, loss: 3.7272 +2025-06-02 23:42:22,362 - pyskl - INFO - Epoch [11][500/2353] lr: 2.472e-02, eta: 1 day, 15:25:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7494, top5_acc: 0.9494, loss_cls: 3.7170, loss: 3.7170 +2025-06-02 23:43:05,500 - pyskl - INFO - Epoch [11][600/2353] lr: 2.471e-02, eta: 1 day, 15:24:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7300, top5_acc: 0.9537, loss_cls: 3.8211, loss: 3.8211 +2025-06-02 23:43:48,690 - pyskl - INFO - Epoch [11][700/2353] lr: 2.471e-02, eta: 1 day, 15:24:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7819, top5_acc: 0.9669, loss_cls: 3.6994, loss: 3.6994 +2025-06-02 23:44:31,928 - pyskl - INFO - Epoch [11][800/2353] lr: 2.471e-02, eta: 1 day, 15:23:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7669, top5_acc: 0.9600, loss_cls: 3.7578, loss: 3.7578 +2025-06-02 23:45:15,307 - pyskl - INFO - Epoch [11][900/2353] lr: 2.471e-02, eta: 1 day, 15:22:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7538, top5_acc: 0.9519, loss_cls: 3.7461, loss: 3.7461 +2025-06-02 23:45:58,627 - pyskl - INFO - Epoch [11][1000/2353] lr: 2.470e-02, eta: 1 day, 15:22:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7519, top5_acc: 0.9469, loss_cls: 3.7871, loss: 3.7871 +2025-06-02 23:46:41,895 - pyskl - INFO - Epoch [11][1100/2353] lr: 2.470e-02, eta: 1 day, 15:21:18, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7388, top5_acc: 0.9631, loss_cls: 3.7958, loss: 3.7958 +2025-06-02 23:47:25,144 - pyskl - INFO - Epoch [11][1200/2353] lr: 2.470e-02, eta: 1 day, 15:20:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7625, top5_acc: 0.9594, loss_cls: 3.6645, loss: 3.6645 +2025-06-02 23:48:08,358 - pyskl - INFO - Epoch [11][1300/2353] lr: 2.470e-02, eta: 1 day, 15:19:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7456, top5_acc: 0.9475, loss_cls: 3.8843, loss: 3.8843 +2025-06-02 23:48:51,542 - pyskl - INFO - Epoch [11][1400/2353] lr: 2.469e-02, eta: 1 day, 15:19:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7625, top5_acc: 0.9556, loss_cls: 3.7424, loss: 3.7424 +2025-06-02 23:49:34,731 - pyskl - INFO - Epoch [11][1500/2353] lr: 2.469e-02, eta: 1 day, 15:18:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7688, top5_acc: 0.9500, loss_cls: 3.6923, loss: 3.6923 +2025-06-02 23:50:18,057 - pyskl - INFO - Epoch [11][1600/2353] lr: 2.469e-02, eta: 1 day, 15:17:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7612, top5_acc: 0.9544, loss_cls: 3.8260, loss: 3.8260 +2025-06-02 23:51:01,242 - pyskl - INFO - Epoch [11][1700/2353] lr: 2.469e-02, eta: 1 day, 15:17:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7512, top5_acc: 0.9631, loss_cls: 3.7055, loss: 3.7055 +2025-06-02 23:51:44,463 - pyskl - INFO - Epoch [11][1800/2353] lr: 2.468e-02, eta: 1 day, 15:16:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9594, loss_cls: 3.6398, loss: 3.6398 +2025-06-02 23:52:27,614 - pyskl - INFO - Epoch [11][1900/2353] lr: 2.468e-02, eta: 1 day, 15:15:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7556, top5_acc: 0.9550, loss_cls: 3.7617, loss: 3.7617 +2025-06-02 23:53:10,737 - pyskl - INFO - Epoch [11][2000/2353] lr: 2.468e-02, eta: 1 day, 15:14:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7612, top5_acc: 0.9600, loss_cls: 3.7802, loss: 3.7802 +2025-06-02 23:53:53,927 - pyskl - INFO - Epoch [11][2100/2353] lr: 2.468e-02, eta: 1 day, 15:14:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7562, top5_acc: 0.9519, loss_cls: 3.7482, loss: 3.7482 +2025-06-02 23:54:37,120 - pyskl - INFO - Epoch [11][2200/2353] lr: 2.467e-02, eta: 1 day, 15:13:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7700, top5_acc: 0.9600, loss_cls: 3.7126, loss: 3.7126 +2025-06-02 23:55:20,337 - pyskl - INFO - Epoch [11][2300/2353] lr: 2.467e-02, eta: 1 day, 15:12:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7606, top5_acc: 0.9544, loss_cls: 3.6549, loss: 3.6549 +2025-06-02 23:55:43,864 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-06-02 23:57:08,642 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-02 23:57:08,717 - pyskl - INFO - +top1_acc 0.8067 +top5_acc 0.9791 +2025-06-02 23:57:08,772 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_9.pth was removed +2025-06-02 23:57:09,781 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-06-02 23:57:09,782 - pyskl - INFO - Best top1_acc is 0.8067 at 11 epoch. +2025-06-02 23:57:09,785 - pyskl - INFO - Epoch(val) [11][1184] top1_acc: 0.8067, top5_acc: 0.9791 +2025-06-02 23:58:13,481 - pyskl - INFO - Epoch [12][100/2353] lr: 2.467e-02, eta: 1 day, 15:11:13, time: 0.637, data_time: 0.202, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9513, loss_cls: 3.7294, loss: 3.7294 +2025-06-02 23:58:56,801 - pyskl - INFO - Epoch [12][200/2353] lr: 2.466e-02, eta: 1 day, 15:10:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9556, loss_cls: 3.6218, loss: 3.6218 +2025-06-02 23:59:39,907 - pyskl - INFO - Epoch [12][300/2353] lr: 2.466e-02, eta: 1 day, 15:09:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7762, top5_acc: 0.9625, loss_cls: 3.7163, loss: 3.7163 +2025-06-03 00:00:23,038 - pyskl - INFO - Epoch [12][400/2353] lr: 2.466e-02, eta: 1 day, 15:09:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7738, top5_acc: 0.9637, loss_cls: 3.7314, loss: 3.7314 +2025-06-03 00:01:06,253 - pyskl - INFO - Epoch [12][500/2353] lr: 2.466e-02, eta: 1 day, 15:08:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7531, top5_acc: 0.9556, loss_cls: 3.7186, loss: 3.7186 +2025-06-03 00:01:49,399 - pyskl - INFO - Epoch [12][600/2353] lr: 2.465e-02, eta: 1 day, 15:07:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7475, top5_acc: 0.9450, loss_cls: 3.8762, loss: 3.8762 +2025-06-03 00:02:32,709 - pyskl - INFO - Epoch [12][700/2353] lr: 2.465e-02, eta: 1 day, 15:06:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7544, top5_acc: 0.9581, loss_cls: 3.7239, loss: 3.7239 +2025-06-03 00:03:15,943 - pyskl - INFO - Epoch [12][800/2353] lr: 2.465e-02, eta: 1 day, 15:06:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9712, loss_cls: 3.4946, loss: 3.4946 +2025-06-03 00:03:59,036 - pyskl - INFO - Epoch [12][900/2353] lr: 2.465e-02, eta: 1 day, 15:05:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7662, top5_acc: 0.9587, loss_cls: 3.6812, loss: 3.6812 +2025-06-03 00:04:42,404 - pyskl - INFO - Epoch [12][1000/2353] lr: 2.464e-02, eta: 1 day, 15:04:52, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7675, top5_acc: 0.9637, loss_cls: 3.6447, loss: 3.6447 +2025-06-03 00:05:25,511 - pyskl - INFO - Epoch [12][1100/2353] lr: 2.464e-02, eta: 1 day, 15:04:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7644, top5_acc: 0.9656, loss_cls: 3.6600, loss: 3.6600 +2025-06-03 00:06:08,668 - pyskl - INFO - Epoch [12][1200/2353] lr: 2.464e-02, eta: 1 day, 15:03:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7681, top5_acc: 0.9600, loss_cls: 3.7921, loss: 3.7921 +2025-06-03 00:06:51,828 - pyskl - INFO - Epoch [12][1300/2353] lr: 2.464e-02, eta: 1 day, 15:02:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7681, top5_acc: 0.9563, loss_cls: 3.8148, loss: 3.8148 +2025-06-03 00:07:34,948 - pyskl - INFO - Epoch [12][1400/2353] lr: 2.463e-02, eta: 1 day, 15:01:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7656, top5_acc: 0.9600, loss_cls: 3.6747, loss: 3.6747 +2025-06-03 00:08:18,051 - pyskl - INFO - Epoch [12][1500/2353] lr: 2.463e-02, eta: 1 day, 15:01:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7738, top5_acc: 0.9481, loss_cls: 3.6811, loss: 3.6811 +2025-06-03 00:09:01,294 - pyskl - INFO - Epoch [12][1600/2353] lr: 2.463e-02, eta: 1 day, 15:00:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7494, top5_acc: 0.9556, loss_cls: 3.7673, loss: 3.7673 +2025-06-03 00:09:44,505 - pyskl - INFO - Epoch [12][1700/2353] lr: 2.463e-02, eta: 1 day, 14:59:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7725, top5_acc: 0.9600, loss_cls: 3.6787, loss: 3.6787 +2025-06-03 00:10:27,778 - pyskl - INFO - Epoch [12][1800/2353] lr: 2.462e-02, eta: 1 day, 14:59:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7662, top5_acc: 0.9500, loss_cls: 3.7281, loss: 3.7281 +2025-06-03 00:11:11,007 - pyskl - INFO - Epoch [12][1900/2353] lr: 2.462e-02, eta: 1 day, 14:58:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9650, loss_cls: 3.6581, loss: 3.6581 +2025-06-03 00:11:54,170 - pyskl - INFO - Epoch [12][2000/2353] lr: 2.462e-02, eta: 1 day, 14:57:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7588, top5_acc: 0.9525, loss_cls: 3.6679, loss: 3.6679 +2025-06-03 00:12:37,438 - pyskl - INFO - Epoch [12][2100/2353] lr: 2.461e-02, eta: 1 day, 14:57:02, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7688, top5_acc: 0.9631, loss_cls: 3.6250, loss: 3.6250 +2025-06-03 00:13:20,698 - pyskl - INFO - Epoch [12][2200/2353] lr: 2.461e-02, eta: 1 day, 14:56:20, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7544, top5_acc: 0.9550, loss_cls: 3.6237, loss: 3.6237 +2025-06-03 00:14:03,947 - pyskl - INFO - Epoch [12][2300/2353] lr: 2.461e-02, eta: 1 day, 14:55:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7738, top5_acc: 0.9613, loss_cls: 3.6361, loss: 3.6361 +2025-06-03 00:14:27,467 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-06-03 00:15:52,136 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:15:52,213 - pyskl - INFO - +top1_acc 0.8400 +top5_acc 0.9823 +2025-06-03 00:15:52,273 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_11.pth was removed +2025-06-03 00:15:53,344 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-06-03 00:15:53,345 - pyskl - INFO - Best top1_acc is 0.8400 at 12 epoch. +2025-06-03 00:15:53,347 - pyskl - INFO - Epoch(val) [12][1184] top1_acc: 0.8400, top5_acc: 0.9823 +2025-06-03 00:16:57,215 - pyskl - INFO - Epoch [13][100/2353] lr: 2.460e-02, eta: 1 day, 14:54:07, time: 0.639, data_time: 0.204, memory: 13127, top1_acc: 0.7712, top5_acc: 0.9481, loss_cls: 3.7398, loss: 3.7398 +2025-06-03 00:17:40,709 - pyskl - INFO - Epoch [13][200/2353] lr: 2.460e-02, eta: 1 day, 14:53:28, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.7612, top5_acc: 0.9594, loss_cls: 3.6255, loss: 3.6255 +2025-06-03 00:18:23,919 - pyskl - INFO - Epoch [13][300/2353] lr: 2.460e-02, eta: 1 day, 14:52:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7525, top5_acc: 0.9519, loss_cls: 3.7529, loss: 3.7529 +2025-06-03 00:19:07,072 - pyskl - INFO - Epoch [13][400/2353] lr: 2.460e-02, eta: 1 day, 14:52:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9675, loss_cls: 3.5586, loss: 3.5586 +2025-06-03 00:19:50,304 - pyskl - INFO - Epoch [13][500/2353] lr: 2.459e-02, eta: 1 day, 14:51:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9675, loss_cls: 3.5741, loss: 3.5741 +2025-06-03 00:20:33,483 - pyskl - INFO - Epoch [13][600/2353] lr: 2.459e-02, eta: 1 day, 14:50:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7588, top5_acc: 0.9506, loss_cls: 3.6449, loss: 3.6449 +2025-06-03 00:21:16,694 - pyskl - INFO - Epoch [13][700/2353] lr: 2.459e-02, eta: 1 day, 14:49:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7681, top5_acc: 0.9581, loss_cls: 3.6421, loss: 3.6421 +2025-06-03 00:22:00,041 - pyskl - INFO - Epoch [13][800/2353] lr: 2.458e-02, eta: 1 day, 14:49:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7700, top5_acc: 0.9606, loss_cls: 3.6761, loss: 3.6761 +2025-06-03 00:22:43,510 - pyskl - INFO - Epoch [13][900/2353] lr: 2.458e-02, eta: 1 day, 14:48:35, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9631, loss_cls: 3.5778, loss: 3.5778 +2025-06-03 00:23:26,730 - pyskl - INFO - Epoch [13][1000/2353] lr: 2.458e-02, eta: 1 day, 14:47:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7719, top5_acc: 0.9619, loss_cls: 3.6008, loss: 3.6008 +2025-06-03 00:24:09,806 - pyskl - INFO - Epoch [13][1100/2353] lr: 2.458e-02, eta: 1 day, 14:47:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7744, top5_acc: 0.9688, loss_cls: 3.5263, loss: 3.5263 +2025-06-03 00:24:52,936 - pyskl - INFO - Epoch [13][1200/2353] lr: 2.457e-02, eta: 1 day, 14:46:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7719, top5_acc: 0.9575, loss_cls: 3.5253, loss: 3.5253 +2025-06-03 00:25:36,074 - pyskl - INFO - Epoch [13][1300/2353] lr: 2.457e-02, eta: 1 day, 14:45:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9587, loss_cls: 3.5832, loss: 3.5832 +2025-06-03 00:26:19,204 - pyskl - INFO - Epoch [13][1400/2353] lr: 2.457e-02, eta: 1 day, 14:44:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7744, top5_acc: 0.9650, loss_cls: 3.6678, loss: 3.6678 +2025-06-03 00:27:02,314 - pyskl - INFO - Epoch [13][1500/2353] lr: 2.456e-02, eta: 1 day, 14:44:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7775, top5_acc: 0.9631, loss_cls: 3.5691, loss: 3.5691 +2025-06-03 00:27:45,470 - pyskl - INFO - Epoch [13][1600/2353] lr: 2.456e-02, eta: 1 day, 14:43:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7562, top5_acc: 0.9544, loss_cls: 3.7140, loss: 3.7140 +2025-06-03 00:28:28,558 - pyskl - INFO - Epoch [13][1700/2353] lr: 2.456e-02, eta: 1 day, 14:42:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7700, top5_acc: 0.9625, loss_cls: 3.5990, loss: 3.5990 +2025-06-03 00:29:11,690 - pyskl - INFO - Epoch [13][1800/2353] lr: 2.456e-02, eta: 1 day, 14:42:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7606, top5_acc: 0.9525, loss_cls: 3.7397, loss: 3.7397 +2025-06-03 00:29:54,832 - pyskl - INFO - Epoch [13][1900/2353] lr: 2.455e-02, eta: 1 day, 14:41:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9563, loss_cls: 3.6861, loss: 3.6861 +2025-06-03 00:30:37,957 - pyskl - INFO - Epoch [13][2000/2353] lr: 2.455e-02, eta: 1 day, 14:40:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9563, loss_cls: 3.5697, loss: 3.5697 +2025-06-03 00:31:21,113 - pyskl - INFO - Epoch [13][2100/2353] lr: 2.455e-02, eta: 1 day, 14:39:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7738, top5_acc: 0.9700, loss_cls: 3.5444, loss: 3.5444 +2025-06-03 00:32:04,250 - pyskl - INFO - Epoch [13][2200/2353] lr: 2.454e-02, eta: 1 day, 14:39:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9619, loss_cls: 3.5799, loss: 3.5799 +2025-06-03 00:32:47,305 - pyskl - INFO - Epoch [13][2300/2353] lr: 2.454e-02, eta: 1 day, 14:38:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7475, top5_acc: 0.9613, loss_cls: 3.7070, loss: 3.7070 +2025-06-03 00:33:10,759 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-06-03 00:34:35,985 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:34:36,061 - pyskl - INFO - +top1_acc 0.8208 +top5_acc 0.9775 +2025-06-03 00:34:36,064 - pyskl - INFO - Epoch(val) [13][1184] top1_acc: 0.8208, top5_acc: 0.9775 +2025-06-03 00:35:39,951 - pyskl - INFO - Epoch [14][100/2353] lr: 2.454e-02, eta: 1 day, 14:36:59, time: 0.639, data_time: 0.206, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9569, loss_cls: 3.6640, loss: 3.6640 +2025-06-03 00:36:23,152 - pyskl - INFO - Epoch [14][200/2353] lr: 2.453e-02, eta: 1 day, 14:36:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9637, loss_cls: 3.6063, loss: 3.6063 +2025-06-03 00:37:06,373 - pyskl - INFO - Epoch [14][300/2353] lr: 2.453e-02, eta: 1 day, 14:35:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9525, loss_cls: 3.6315, loss: 3.6315 +2025-06-03 00:37:49,530 - pyskl - INFO - Epoch [14][400/2353] lr: 2.453e-02, eta: 1 day, 14:34:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9606, loss_cls: 3.5510, loss: 3.5510 +2025-06-03 00:38:32,725 - pyskl - INFO - Epoch [14][500/2353] lr: 2.452e-02, eta: 1 day, 14:34:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7650, top5_acc: 0.9537, loss_cls: 3.5614, loss: 3.5614 +2025-06-03 00:39:16,020 - pyskl - INFO - Epoch [14][600/2353] lr: 2.452e-02, eta: 1 day, 14:33:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9587, loss_cls: 3.5667, loss: 3.5667 +2025-06-03 00:39:59,176 - pyskl - INFO - Epoch [14][700/2353] lr: 2.452e-02, eta: 1 day, 14:32:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7806, top5_acc: 0.9600, loss_cls: 3.6439, loss: 3.6439 +2025-06-03 00:40:42,436 - pyskl - INFO - Epoch [14][800/2353] lr: 2.452e-02, eta: 1 day, 14:32:03, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7831, top5_acc: 0.9594, loss_cls: 3.6030, loss: 3.6030 +2025-06-03 00:41:25,742 - pyskl - INFO - Epoch [14][900/2353] lr: 2.451e-02, eta: 1 day, 14:31:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7694, top5_acc: 0.9606, loss_cls: 3.6183, loss: 3.6183 +2025-06-03 00:42:08,948 - pyskl - INFO - Epoch [14][1000/2353] lr: 2.451e-02, eta: 1 day, 14:30:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9600, loss_cls: 3.5355, loss: 3.5355 +2025-06-03 00:42:52,173 - pyskl - INFO - Epoch [14][1100/2353] lr: 2.451e-02, eta: 1 day, 14:29:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9700, loss_cls: 3.5064, loss: 3.5064 +2025-06-03 00:43:35,385 - pyskl - INFO - Epoch [14][1200/2353] lr: 2.450e-02, eta: 1 day, 14:29:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7650, top5_acc: 0.9594, loss_cls: 3.7004, loss: 3.7004 +2025-06-03 00:44:18,638 - pyskl - INFO - Epoch [14][1300/2353] lr: 2.450e-02, eta: 1 day, 14:28:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7656, top5_acc: 0.9556, loss_cls: 3.6436, loss: 3.6436 +2025-06-03 00:45:01,884 - pyskl - INFO - Epoch [14][1400/2353] lr: 2.450e-02, eta: 1 day, 14:27:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7631, top5_acc: 0.9594, loss_cls: 3.6667, loss: 3.6667 +2025-06-03 00:45:45,112 - pyskl - INFO - Epoch [14][1500/2353] lr: 2.449e-02, eta: 1 day, 14:27:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7931, top5_acc: 0.9644, loss_cls: 3.5218, loss: 3.5218 +2025-06-03 00:46:28,277 - pyskl - INFO - Epoch [14][1600/2353] lr: 2.449e-02, eta: 1 day, 14:26:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9625, loss_cls: 3.5295, loss: 3.5295 +2025-06-03 00:47:11,446 - pyskl - INFO - Epoch [14][1700/2353] lr: 2.449e-02, eta: 1 day, 14:25:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7831, top5_acc: 0.9619, loss_cls: 3.5507, loss: 3.5507 +2025-06-03 00:47:54,618 - pyskl - INFO - Epoch [14][1800/2353] lr: 2.448e-02, eta: 1 day, 14:24:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7656, top5_acc: 0.9519, loss_cls: 3.6279, loss: 3.6279 +2025-06-03 00:48:37,847 - pyskl - INFO - Epoch [14][1900/2353] lr: 2.448e-02, eta: 1 day, 14:24:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7619, top5_acc: 0.9625, loss_cls: 3.6660, loss: 3.6660 +2025-06-03 00:49:20,906 - pyskl - INFO - Epoch [14][2000/2353] lr: 2.448e-02, eta: 1 day, 14:23:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9606, loss_cls: 3.4632, loss: 3.4632 +2025-06-03 00:50:04,082 - pyskl - INFO - Epoch [14][2100/2353] lr: 2.447e-02, eta: 1 day, 14:22:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9613, loss_cls: 3.5346, loss: 3.5346 +2025-06-03 00:50:47,251 - pyskl - INFO - Epoch [14][2200/2353] lr: 2.447e-02, eta: 1 day, 14:22:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7706, top5_acc: 0.9619, loss_cls: 3.5878, loss: 3.5878 +2025-06-03 00:51:30,415 - pyskl - INFO - Epoch [14][2300/2353] lr: 2.447e-02, eta: 1 day, 14:21:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9650, loss_cls: 3.4807, loss: 3.4807 +2025-06-03 00:51:53,944 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-06-03 00:53:18,976 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 00:53:19,052 - pyskl - INFO - +top1_acc 0.8047 +top5_acc 0.9790 +2025-06-03 00:53:19,055 - pyskl - INFO - Epoch(val) [14][1184] top1_acc: 0.8047, top5_acc: 0.9790 +2025-06-03 00:54:23,022 - pyskl - INFO - Epoch [15][100/2353] lr: 2.446e-02, eta: 1 day, 14:19:58, time: 0.640, data_time: 0.206, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9613, loss_cls: 3.6515, loss: 3.6515 +2025-06-03 00:55:06,287 - pyskl - INFO - Epoch [15][200/2353] lr: 2.446e-02, eta: 1 day, 14:19:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9563, loss_cls: 3.5959, loss: 3.5959 +2025-06-03 00:55:49,688 - pyskl - INFO - Epoch [15][300/2353] lr: 2.446e-02, eta: 1 day, 14:18:36, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9744, loss_cls: 3.4870, loss: 3.4870 +2025-06-03 00:56:32,864 - pyskl - INFO - Epoch [15][400/2353] lr: 2.445e-02, eta: 1 day, 14:17:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7644, top5_acc: 0.9537, loss_cls: 3.7596, loss: 3.7596 +2025-06-03 00:57:16,195 - pyskl - INFO - Epoch [15][500/2353] lr: 2.445e-02, eta: 1 day, 14:17:12, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9625, loss_cls: 3.5475, loss: 3.5475 +2025-06-03 00:57:59,538 - pyskl - INFO - Epoch [15][600/2353] lr: 2.445e-02, eta: 1 day, 14:16:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9675, loss_cls: 3.3658, loss: 3.3658 +2025-06-03 00:58:42,802 - pyskl - INFO - Epoch [15][700/2353] lr: 2.444e-02, eta: 1 day, 14:15:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9712, loss_cls: 3.5093, loss: 3.5093 +2025-06-03 00:59:26,045 - pyskl - INFO - Epoch [15][800/2353] lr: 2.444e-02, eta: 1 day, 14:15:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7681, top5_acc: 0.9606, loss_cls: 3.6359, loss: 3.6359 +2025-06-03 01:00:09,249 - pyskl - INFO - Epoch [15][900/2353] lr: 2.444e-02, eta: 1 day, 14:14:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7806, top5_acc: 0.9688, loss_cls: 3.5451, loss: 3.5451 +2025-06-03 01:00:52,640 - pyskl - INFO - Epoch [15][1000/2353] lr: 2.443e-02, eta: 1 day, 14:13:43, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7819, top5_acc: 0.9650, loss_cls: 3.5440, loss: 3.5440 +2025-06-03 01:01:35,951 - pyskl - INFO - Epoch [15][1100/2353] lr: 2.443e-02, eta: 1 day, 14:13:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9563, loss_cls: 3.6012, loss: 3.6012 +2025-06-03 01:02:19,328 - pyskl - INFO - Epoch [15][1200/2353] lr: 2.443e-02, eta: 1 day, 14:12:20, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9619, loss_cls: 3.5298, loss: 3.5298 +2025-06-03 01:03:02,679 - pyskl - INFO - Epoch [15][1300/2353] lr: 2.442e-02, eta: 1 day, 14:11:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7819, top5_acc: 0.9675, loss_cls: 3.5485, loss: 3.5485 +2025-06-03 01:03:46,263 - pyskl - INFO - Epoch [15][1400/2353] lr: 2.442e-02, eta: 1 day, 14:11:00, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9575, loss_cls: 3.5305, loss: 3.5305 +2025-06-03 01:04:29,508 - pyskl - INFO - Epoch [15][1500/2353] lr: 2.442e-02, eta: 1 day, 14:10:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7638, top5_acc: 0.9644, loss_cls: 3.5424, loss: 3.5424 +2025-06-03 01:05:12,829 - pyskl - INFO - Epoch [15][1600/2353] lr: 2.441e-02, eta: 1 day, 14:09:36, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7662, top5_acc: 0.9606, loss_cls: 3.5595, loss: 3.5595 +2025-06-03 01:05:55,952 - pyskl - INFO - Epoch [15][1700/2353] lr: 2.441e-02, eta: 1 day, 14:08:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9613, loss_cls: 3.5086, loss: 3.5086 +2025-06-03 01:06:39,167 - pyskl - INFO - Epoch [15][1800/2353] lr: 2.441e-02, eta: 1 day, 14:08:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9631, loss_cls: 3.5468, loss: 3.5468 +2025-06-03 01:07:22,163 - pyskl - INFO - Epoch [15][1900/2353] lr: 2.440e-02, eta: 1 day, 14:07:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9556, loss_cls: 3.6024, loss: 3.6024 +2025-06-03 01:08:05,633 - pyskl - INFO - Epoch [15][2000/2353] lr: 2.440e-02, eta: 1 day, 14:06:46, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9606, loss_cls: 3.5855, loss: 3.5855 +2025-06-03 01:08:48,845 - pyskl - INFO - Epoch [15][2100/2353] lr: 2.440e-02, eta: 1 day, 14:06:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9631, loss_cls: 3.4995, loss: 3.4995 +2025-06-03 01:09:32,148 - pyskl - INFO - Epoch [15][2200/2353] lr: 2.439e-02, eta: 1 day, 14:05:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9569, loss_cls: 3.5533, loss: 3.5533 +2025-06-03 01:10:15,359 - pyskl - INFO - Epoch [15][2300/2353] lr: 2.439e-02, eta: 1 day, 14:04:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7638, top5_acc: 0.9663, loss_cls: 3.6367, loss: 3.6367 +2025-06-03 01:10:38,879 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-06-03 01:19:09,039 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:19:09,116 - pyskl - INFO - +top1_acc 0.8253 +top5_acc 0.9852 +2025-06-03 01:19:09,119 - pyskl - INFO - Epoch(val) [15][1184] top1_acc: 0.8253, top5_acc: 0.9852 +2025-06-03 01:20:13,636 - pyskl - INFO - Epoch [16][100/2353] lr: 2.438e-02, eta: 1 day, 14:03:20, time: 0.645, data_time: 0.208, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9681, loss_cls: 3.3780, loss: 3.3780 +2025-06-03 01:20:57,185 - pyskl - INFO - Epoch [16][200/2353] lr: 2.438e-02, eta: 1 day, 14:02:40, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9644, loss_cls: 3.5303, loss: 3.5303 +2025-06-03 01:21:40,519 - pyskl - INFO - Epoch [16][300/2353] lr: 2.438e-02, eta: 1 day, 14:01:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9656, loss_cls: 3.4873, loss: 3.4873 +2025-06-03 01:22:23,748 - pyskl - INFO - Epoch [16][400/2353] lr: 2.437e-02, eta: 1 day, 14:01:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7606, top5_acc: 0.9500, loss_cls: 3.6135, loss: 3.6135 +2025-06-03 01:23:06,902 - pyskl - INFO - Epoch [16][500/2353] lr: 2.437e-02, eta: 1 day, 14:00:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9606, loss_cls: 3.4449, loss: 3.4449 +2025-06-03 01:23:50,053 - pyskl - INFO - Epoch [16][600/2353] lr: 2.437e-02, eta: 1 day, 13:59:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9537, loss_cls: 3.5591, loss: 3.5591 +2025-06-03 01:24:33,241 - pyskl - INFO - Epoch [16][700/2353] lr: 2.436e-02, eta: 1 day, 13:59:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9656, loss_cls: 3.5871, loss: 3.5871 +2025-06-03 01:25:16,486 - pyskl - INFO - Epoch [16][800/2353] lr: 2.436e-02, eta: 1 day, 13:58:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9650, loss_cls: 3.4488, loss: 3.4488 +2025-06-03 01:25:59,635 - pyskl - INFO - Epoch [16][900/2353] lr: 2.436e-02, eta: 1 day, 13:57:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7681, top5_acc: 0.9675, loss_cls: 3.5799, loss: 3.5799 +2025-06-03 01:26:42,785 - pyskl - INFO - Epoch [16][1000/2353] lr: 2.435e-02, eta: 1 day, 13:56:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9606, loss_cls: 3.4933, loss: 3.4933 +2025-06-03 01:27:26,144 - pyskl - INFO - Epoch [16][1100/2353] lr: 2.435e-02, eta: 1 day, 13:56:18, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7844, top5_acc: 0.9688, loss_cls: 3.5424, loss: 3.5424 +2025-06-03 01:28:09,422 - pyskl - INFO - Epoch [16][1200/2353] lr: 2.435e-02, eta: 1 day, 13:55:36, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7719, top5_acc: 0.9606, loss_cls: 3.6135, loss: 3.6135 +2025-06-03 01:28:52,640 - pyskl - INFO - Epoch [16][1300/2353] lr: 2.434e-02, eta: 1 day, 13:54:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9650, loss_cls: 3.5480, loss: 3.5480 +2025-06-03 01:29:35,843 - pyskl - INFO - Epoch [16][1400/2353] lr: 2.434e-02, eta: 1 day, 13:54:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9563, loss_cls: 3.6390, loss: 3.6390 +2025-06-03 01:30:19,007 - pyskl - INFO - Epoch [16][1500/2353] lr: 2.434e-02, eta: 1 day, 13:53:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9575, loss_cls: 3.4779, loss: 3.4779 +2025-06-03 01:31:02,146 - pyskl - INFO - Epoch [16][1600/2353] lr: 2.433e-02, eta: 1 day, 13:52:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9694, loss_cls: 3.4401, loss: 3.4401 +2025-06-03 01:31:45,319 - pyskl - INFO - Epoch [16][1700/2353] lr: 2.433e-02, eta: 1 day, 13:52:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9606, loss_cls: 3.4267, loss: 3.4267 +2025-06-03 01:32:28,431 - pyskl - INFO - Epoch [16][1800/2353] lr: 2.432e-02, eta: 1 day, 13:51:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9637, loss_cls: 3.4999, loss: 3.4999 +2025-06-03 01:33:11,534 - pyskl - INFO - Epoch [16][1900/2353] lr: 2.432e-02, eta: 1 day, 13:50:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9587, loss_cls: 3.5564, loss: 3.5564 +2025-06-03 01:33:54,667 - pyskl - INFO - Epoch [16][2000/2353] lr: 2.432e-02, eta: 1 day, 13:49:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7750, top5_acc: 0.9606, loss_cls: 3.5323, loss: 3.5323 +2025-06-03 01:34:37,884 - pyskl - INFO - Epoch [16][2100/2353] lr: 2.431e-02, eta: 1 day, 13:49:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9656, loss_cls: 3.4849, loss: 3.4849 +2025-06-03 01:35:21,101 - pyskl - INFO - Epoch [16][2200/2353] lr: 2.431e-02, eta: 1 day, 13:48:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9681, loss_cls: 3.4923, loss: 3.4923 +2025-06-03 01:36:04,275 - pyskl - INFO - Epoch [16][2300/2353] lr: 2.431e-02, eta: 1 day, 13:47:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9544, loss_cls: 3.5374, loss: 3.5374 +2025-06-03 01:36:27,762 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-06-03 01:37:52,657 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:37:52,738 - pyskl - INFO - +top1_acc 0.8107 +top5_acc 0.9693 +2025-06-03 01:37:52,741 - pyskl - INFO - Epoch(val) [16][1184] top1_acc: 0.8107, top5_acc: 0.9693 +2025-06-03 01:38:56,261 - pyskl - INFO - Epoch [17][100/2353] lr: 2.430e-02, eta: 1 day, 13:46:16, time: 0.635, data_time: 0.203, memory: 13127, top1_acc: 0.7781, top5_acc: 0.9600, loss_cls: 3.4878, loss: 3.4878 +2025-06-03 01:39:39,664 - pyskl - INFO - Epoch [17][200/2353] lr: 2.430e-02, eta: 1 day, 13:45:35, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9619, loss_cls: 3.4427, loss: 3.4427 +2025-06-03 01:40:22,987 - pyskl - INFO - Epoch [17][300/2353] lr: 2.429e-02, eta: 1 day, 13:44:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9631, loss_cls: 3.4504, loss: 3.4504 +2025-06-03 01:41:06,267 - pyskl - INFO - Epoch [17][400/2353] lr: 2.429e-02, eta: 1 day, 13:44:12, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7831, top5_acc: 0.9600, loss_cls: 3.5371, loss: 3.5371 +2025-06-03 01:41:49,435 - pyskl - INFO - Epoch [17][500/2353] lr: 2.429e-02, eta: 1 day, 13:43:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9663, loss_cls: 3.5009, loss: 3.5009 +2025-06-03 01:42:32,280 - pyskl - INFO - Epoch [17][600/2353] lr: 2.428e-02, eta: 1 day, 13:42:43, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9694, loss_cls: 3.4719, loss: 3.4719 +2025-06-03 01:43:15,463 - pyskl - INFO - Epoch [17][700/2353] lr: 2.428e-02, eta: 1 day, 13:42:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9606, loss_cls: 3.4270, loss: 3.4270 +2025-06-03 01:43:58,761 - pyskl - INFO - Epoch [17][800/2353] lr: 2.428e-02, eta: 1 day, 13:41:18, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9600, loss_cls: 3.5086, loss: 3.5086 +2025-06-03 01:44:42,098 - pyskl - INFO - Epoch [17][900/2353] lr: 2.427e-02, eta: 1 day, 13:40:37, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9631, loss_cls: 3.5784, loss: 3.5784 +2025-06-03 01:45:25,483 - pyskl - INFO - Epoch [17][1000/2353] lr: 2.427e-02, eta: 1 day, 13:39:56, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7806, top5_acc: 0.9575, loss_cls: 3.5837, loss: 3.5837 +2025-06-03 01:46:08,976 - pyskl - INFO - Epoch [17][1100/2353] lr: 2.426e-02, eta: 1 day, 13:39:15, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9663, loss_cls: 3.3493, loss: 3.3493 +2025-06-03 01:46:52,331 - pyskl - INFO - Epoch [17][1200/2353] lr: 2.426e-02, eta: 1 day, 13:38:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9688, loss_cls: 3.4600, loss: 3.4600 +2025-06-03 01:47:35,558 - pyskl - INFO - Epoch [17][1300/2353] lr: 2.426e-02, eta: 1 day, 13:37:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7594, top5_acc: 0.9600, loss_cls: 3.6539, loss: 3.6539 +2025-06-03 01:48:18,725 - pyskl - INFO - Epoch [17][1400/2353] lr: 2.425e-02, eta: 1 day, 13:37:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9675, loss_cls: 3.4793, loss: 3.4793 +2025-06-03 01:49:01,913 - pyskl - INFO - Epoch [17][1500/2353] lr: 2.425e-02, eta: 1 day, 13:36:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9675, loss_cls: 3.4673, loss: 3.4673 +2025-06-03 01:49:45,008 - pyskl - INFO - Epoch [17][1600/2353] lr: 2.425e-02, eta: 1 day, 13:35:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7875, top5_acc: 0.9637, loss_cls: 3.6000, loss: 3.6000 +2025-06-03 01:50:28,219 - pyskl - INFO - Epoch [17][1700/2353] lr: 2.424e-02, eta: 1 day, 13:35:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7913, top5_acc: 0.9712, loss_cls: 3.4089, loss: 3.4089 +2025-06-03 01:51:11,384 - pyskl - INFO - Epoch [17][1800/2353] lr: 2.424e-02, eta: 1 day, 13:34:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7675, top5_acc: 0.9594, loss_cls: 3.5625, loss: 3.5625 +2025-06-03 01:51:54,638 - pyskl - INFO - Epoch [17][1900/2353] lr: 2.423e-02, eta: 1 day, 13:33:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9756, loss_cls: 3.3473, loss: 3.3473 +2025-06-03 01:52:37,874 - pyskl - INFO - Epoch [17][2000/2353] lr: 2.423e-02, eta: 1 day, 13:32:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9656, loss_cls: 3.4117, loss: 3.4117 +2025-06-03 01:53:20,974 - pyskl - INFO - Epoch [17][2100/2353] lr: 2.423e-02, eta: 1 day, 13:32:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9688, loss_cls: 3.4387, loss: 3.4387 +2025-06-03 01:54:04,178 - pyskl - INFO - Epoch [17][2200/2353] lr: 2.422e-02, eta: 1 day, 13:31:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7794, top5_acc: 0.9637, loss_cls: 3.4578, loss: 3.4578 +2025-06-03 01:54:47,309 - pyskl - INFO - Epoch [17][2300/2353] lr: 2.422e-02, eta: 1 day, 13:30:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9656, loss_cls: 3.4815, loss: 3.4815 +2025-06-03 01:55:10,730 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-06-03 01:56:35,776 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 01:56:35,852 - pyskl - INFO - +top1_acc 0.8466 +top5_acc 0.9843 +2025-06-03 01:56:35,908 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_12.pth was removed +2025-06-03 01:56:36,932 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. +2025-06-03 01:56:36,933 - pyskl - INFO - Best top1_acc is 0.8466 at 17 epoch. +2025-06-03 01:56:36,936 - pyskl - INFO - Epoch(val) [17][1184] top1_acc: 0.8466, top5_acc: 0.9843 +2025-06-03 01:57:40,284 - pyskl - INFO - Epoch [18][100/2353] lr: 2.421e-02, eta: 1 day, 13:29:16, time: 0.633, data_time: 0.201, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9656, loss_cls: 3.4719, loss: 3.4719 +2025-06-03 01:58:23,525 - pyskl - INFO - Epoch [18][200/2353] lr: 2.421e-02, eta: 1 day, 13:28:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9694, loss_cls: 3.3532, loss: 3.3532 +2025-06-03 01:59:06,688 - pyskl - INFO - Epoch [18][300/2353] lr: 2.420e-02, eta: 1 day, 13:27:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9669, loss_cls: 3.4040, loss: 3.4040 +2025-06-03 01:59:49,835 - pyskl - INFO - Epoch [18][400/2353] lr: 2.420e-02, eta: 1 day, 13:27:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9669, loss_cls: 3.4477, loss: 3.4477 +2025-06-03 02:00:32,994 - pyskl - INFO - Epoch [18][500/2353] lr: 2.420e-02, eta: 1 day, 13:26:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9650, loss_cls: 3.2949, loss: 3.2949 +2025-06-03 02:01:16,028 - pyskl - INFO - Epoch [18][600/2353] lr: 2.419e-02, eta: 1 day, 13:25:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9675, loss_cls: 3.4014, loss: 3.4014 +2025-06-03 02:01:59,224 - pyskl - INFO - Epoch [18][700/2353] lr: 2.419e-02, eta: 1 day, 13:24:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9637, loss_cls: 3.4869, loss: 3.4869 +2025-06-03 02:02:42,466 - pyskl - INFO - Epoch [18][800/2353] lr: 2.418e-02, eta: 1 day, 13:24:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9712, loss_cls: 3.3946, loss: 3.3946 +2025-06-03 02:03:25,628 - pyskl - INFO - Epoch [18][900/2353] lr: 2.418e-02, eta: 1 day, 13:23:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9669, loss_cls: 3.4299, loss: 3.4299 +2025-06-03 02:04:08,798 - pyskl - INFO - Epoch [18][1000/2353] lr: 2.418e-02, eta: 1 day, 13:22:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9631, loss_cls: 3.4552, loss: 3.4552 +2025-06-03 02:04:52,010 - pyskl - INFO - Epoch [18][1100/2353] lr: 2.417e-02, eta: 1 day, 13:22:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9669, loss_cls: 3.4301, loss: 3.4301 +2025-06-03 02:05:35,240 - pyskl - INFO - Epoch [18][1200/2353] lr: 2.417e-02, eta: 1 day, 13:21:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7769, top5_acc: 0.9581, loss_cls: 3.5687, loss: 3.5687 +2025-06-03 02:06:18,372 - pyskl - INFO - Epoch [18][1300/2353] lr: 2.416e-02, eta: 1 day, 13:20:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9700, loss_cls: 3.4018, loss: 3.4018 +2025-06-03 02:07:01,595 - pyskl - INFO - Epoch [18][1400/2353] lr: 2.416e-02, eta: 1 day, 13:19:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9681, loss_cls: 3.4843, loss: 3.4843 +2025-06-03 02:07:44,906 - pyskl - INFO - Epoch [18][1500/2353] lr: 2.416e-02, eta: 1 day, 13:19:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9619, loss_cls: 3.4722, loss: 3.4722 +2025-06-03 02:08:28,154 - pyskl - INFO - Epoch [18][1600/2353] lr: 2.415e-02, eta: 1 day, 13:18:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7781, top5_acc: 0.9606, loss_cls: 3.5616, loss: 3.5616 +2025-06-03 02:09:11,412 - pyskl - INFO - Epoch [18][1700/2353] lr: 2.415e-02, eta: 1 day, 13:17:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9569, loss_cls: 3.4604, loss: 3.4604 +2025-06-03 02:09:54,674 - pyskl - INFO - Epoch [18][1800/2353] lr: 2.414e-02, eta: 1 day, 13:17:10, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9600, loss_cls: 3.4673, loss: 3.4673 +2025-06-03 02:10:37,852 - pyskl - INFO - Epoch [18][1900/2353] lr: 2.414e-02, eta: 1 day, 13:16:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7700, top5_acc: 0.9550, loss_cls: 3.5838, loss: 3.5838 +2025-06-03 02:11:21,035 - pyskl - INFO - Epoch [18][2000/2353] lr: 2.414e-02, eta: 1 day, 13:15:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7800, top5_acc: 0.9625, loss_cls: 3.4630, loss: 3.4630 +2025-06-03 02:12:04,220 - pyskl - INFO - Epoch [18][2100/2353] lr: 2.413e-02, eta: 1 day, 13:15:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9706, loss_cls: 3.4755, loss: 3.4755 +2025-06-03 02:12:47,470 - pyskl - INFO - Epoch [18][2200/2353] lr: 2.413e-02, eta: 1 day, 13:14:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9637, loss_cls: 3.4066, loss: 3.4066 +2025-06-03 02:13:30,637 - pyskl - INFO - Epoch [18][2300/2353] lr: 2.412e-02, eta: 1 day, 13:13:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7788, top5_acc: 0.9631, loss_cls: 3.4660, loss: 3.4660 +2025-06-03 02:13:54,098 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-06-03 02:15:18,822 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:15:18,902 - pyskl - INFO - +top1_acc 0.7619 +top5_acc 0.9655 +2025-06-03 02:15:18,906 - pyskl - INFO - Epoch(val) [18][1184] top1_acc: 0.7619, top5_acc: 0.9655 +2025-06-03 02:16:23,344 - pyskl - INFO - Epoch [19][100/2353] lr: 2.412e-02, eta: 1 day, 13:12:19, time: 0.644, data_time: 0.207, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9675, loss_cls: 3.4388, loss: 3.4388 +2025-06-03 02:17:06,823 - pyskl - INFO - Epoch [19][200/2353] lr: 2.411e-02, eta: 1 day, 13:11:38, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9663, loss_cls: 3.3962, loss: 3.3962 +2025-06-03 02:17:50,317 - pyskl - INFO - Epoch [19][300/2353] lr: 2.411e-02, eta: 1 day, 13:10:58, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9756, loss_cls: 3.3178, loss: 3.3178 +2025-06-03 02:18:33,500 - pyskl - INFO - Epoch [19][400/2353] lr: 2.411e-02, eta: 1 day, 13:10:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9656, loss_cls: 3.4449, loss: 3.4449 +2025-06-03 02:19:16,643 - pyskl - INFO - Epoch [19][500/2353] lr: 2.410e-02, eta: 1 day, 13:09:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7837, top5_acc: 0.9606, loss_cls: 3.4265, loss: 3.4265 +2025-06-03 02:19:59,748 - pyskl - INFO - Epoch [19][600/2353] lr: 2.410e-02, eta: 1 day, 13:08:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7756, top5_acc: 0.9619, loss_cls: 3.5522, loss: 3.5522 +2025-06-03 02:20:42,903 - pyskl - INFO - Epoch [19][700/2353] lr: 2.409e-02, eta: 1 day, 13:08:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9663, loss_cls: 3.2523, loss: 3.2523 +2025-06-03 02:21:26,075 - pyskl - INFO - Epoch [19][800/2353] lr: 2.409e-02, eta: 1 day, 13:07:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9656, loss_cls: 3.3675, loss: 3.3675 +2025-06-03 02:22:09,125 - pyskl - INFO - Epoch [19][900/2353] lr: 2.409e-02, eta: 1 day, 13:06:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9625, loss_cls: 3.4664, loss: 3.4664 +2025-06-03 02:22:52,286 - pyskl - INFO - Epoch [19][1000/2353] lr: 2.408e-02, eta: 1 day, 13:05:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7900, top5_acc: 0.9700, loss_cls: 3.3616, loss: 3.3616 +2025-06-03 02:23:35,443 - pyskl - INFO - Epoch [19][1100/2353] lr: 2.408e-02, eta: 1 day, 13:05:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9663, loss_cls: 3.4733, loss: 3.4733 +2025-06-03 02:24:18,562 - pyskl - INFO - Epoch [19][1200/2353] lr: 2.407e-02, eta: 1 day, 13:04:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9637, loss_cls: 3.4473, loss: 3.4473 +2025-06-03 02:25:01,651 - pyskl - INFO - Epoch [19][1300/2353] lr: 2.407e-02, eta: 1 day, 13:03:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9669, loss_cls: 3.3891, loss: 3.3891 +2025-06-03 02:25:44,779 - pyskl - INFO - Epoch [19][1400/2353] lr: 2.406e-02, eta: 1 day, 13:03:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9631, loss_cls: 3.3986, loss: 3.3986 +2025-06-03 02:26:28,039 - pyskl - INFO - Epoch [19][1500/2353] lr: 2.406e-02, eta: 1 day, 13:02:20, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9613, loss_cls: 3.3946, loss: 3.3946 +2025-06-03 02:27:11,153 - pyskl - INFO - Epoch [19][1600/2353] lr: 2.406e-02, eta: 1 day, 13:01:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9650, loss_cls: 3.4076, loss: 3.4076 +2025-06-03 02:27:54,404 - pyskl - INFO - Epoch [19][1700/2353] lr: 2.405e-02, eta: 1 day, 13:00:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9675, loss_cls: 3.4578, loss: 3.4578 +2025-06-03 02:28:37,599 - pyskl - INFO - Epoch [19][1800/2353] lr: 2.405e-02, eta: 1 day, 13:00:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9569, loss_cls: 3.4279, loss: 3.4279 +2025-06-03 02:29:20,682 - pyskl - INFO - Epoch [19][1900/2353] lr: 2.404e-02, eta: 1 day, 12:59:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9694, loss_cls: 3.3850, loss: 3.3850 +2025-06-03 02:30:03,820 - pyskl - INFO - Epoch [19][2000/2353] lr: 2.404e-02, eta: 1 day, 12:58:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7994, top5_acc: 0.9619, loss_cls: 3.3641, loss: 3.3641 +2025-06-03 02:30:46,944 - pyskl - INFO - Epoch [19][2100/2353] lr: 2.403e-02, eta: 1 day, 12:58:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9544, loss_cls: 3.4632, loss: 3.4632 +2025-06-03 02:31:30,030 - pyskl - INFO - Epoch [19][2200/2353] lr: 2.403e-02, eta: 1 day, 12:57:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7738, top5_acc: 0.9675, loss_cls: 3.4636, loss: 3.4636 +2025-06-03 02:32:13,167 - pyskl - INFO - Epoch [19][2300/2353] lr: 2.403e-02, eta: 1 day, 12:56:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7987, top5_acc: 0.9631, loss_cls: 3.4069, loss: 3.4069 +2025-06-03 02:32:36,595 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-06-03 02:34:01,890 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 02:34:01,966 - pyskl - INFO - +top1_acc 0.8490 +top5_acc 0.9852 +2025-06-03 02:34:02,026 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_17.pth was removed +2025-06-03 02:34:03,118 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2025-06-03 02:34:03,118 - pyskl - INFO - Best top1_acc is 0.8490 at 19 epoch. +2025-06-03 02:34:03,121 - pyskl - INFO - Epoch(val) [19][1184] top1_acc: 0.8490, top5_acc: 0.9852 +2025-06-03 02:35:07,139 - pyskl - INFO - Epoch [20][100/2353] lr: 2.402e-02, eta: 1 day, 12:55:16, time: 0.640, data_time: 0.205, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9650, loss_cls: 3.3130, loss: 3.3130 +2025-06-03 02:35:50,306 - pyskl - INFO - Epoch [20][200/2353] lr: 2.401e-02, eta: 1 day, 12:54:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9706, loss_cls: 3.3786, loss: 3.3786 +2025-06-03 02:36:33,415 - pyskl - INFO - Epoch [20][300/2353] lr: 2.401e-02, eta: 1 day, 12:53:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9688, loss_cls: 3.2575, loss: 3.2575 +2025-06-03 02:37:16,619 - pyskl - INFO - Epoch [20][400/2353] lr: 2.401e-02, eta: 1 day, 12:53:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9756, loss_cls: 3.3919, loss: 3.3919 +2025-06-03 02:37:59,680 - pyskl - INFO - Epoch [20][500/2353] lr: 2.400e-02, eta: 1 day, 12:52:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9637, loss_cls: 3.4112, loss: 3.4112 +2025-06-03 02:38:42,735 - pyskl - INFO - Epoch [20][600/2353] lr: 2.400e-02, eta: 1 day, 12:51:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9694, loss_cls: 3.3600, loss: 3.3600 +2025-06-03 02:39:25,849 - pyskl - INFO - Epoch [20][700/2353] lr: 2.399e-02, eta: 1 day, 12:50:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7850, top5_acc: 0.9500, loss_cls: 3.4150, loss: 3.4150 +2025-06-03 02:40:09,008 - pyskl - INFO - Epoch [20][800/2353] lr: 2.399e-02, eta: 1 day, 12:50:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9744, loss_cls: 3.2993, loss: 3.2993 +2025-06-03 02:40:52,102 - pyskl - INFO - Epoch [20][900/2353] lr: 2.398e-02, eta: 1 day, 12:49:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9712, loss_cls: 3.3056, loss: 3.3056 +2025-06-03 02:41:35,170 - pyskl - INFO - Epoch [20][1000/2353] lr: 2.398e-02, eta: 1 day, 12:48:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7819, top5_acc: 0.9644, loss_cls: 3.4112, loss: 3.4112 +2025-06-03 02:42:18,257 - pyskl - INFO - Epoch [20][1100/2353] lr: 2.398e-02, eta: 1 day, 12:48:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9675, loss_cls: 3.3466, loss: 3.3466 +2025-06-03 02:43:01,330 - pyskl - INFO - Epoch [20][1200/2353] lr: 2.397e-02, eta: 1 day, 12:47:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9663, loss_cls: 3.4207, loss: 3.4207 +2025-06-03 02:43:44,474 - pyskl - INFO - Epoch [20][1300/2353] lr: 2.397e-02, eta: 1 day, 12:46:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9675, loss_cls: 3.3787, loss: 3.3787 +2025-06-03 02:44:27,619 - pyskl - INFO - Epoch [20][1400/2353] lr: 2.396e-02, eta: 1 day, 12:45:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9563, loss_cls: 3.4338, loss: 3.4338 +2025-06-03 02:45:10,817 - pyskl - INFO - Epoch [20][1500/2353] lr: 2.396e-02, eta: 1 day, 12:45:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9613, loss_cls: 3.4099, loss: 3.4099 +2025-06-03 02:45:53,965 - pyskl - INFO - Epoch [20][1600/2353] lr: 2.395e-02, eta: 1 day, 12:44:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9700, loss_cls: 3.3808, loss: 3.3808 +2025-06-03 02:46:36,970 - pyskl - INFO - Epoch [20][1700/2353] lr: 2.395e-02, eta: 1 day, 12:43:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9594, loss_cls: 3.4128, loss: 3.4128 +2025-06-03 02:47:20,133 - pyskl - INFO - Epoch [20][1800/2353] lr: 2.394e-02, eta: 1 day, 12:43:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9762, loss_cls: 3.3615, loss: 3.3615 +2025-06-03 02:48:03,113 - pyskl - INFO - Epoch [20][1900/2353] lr: 2.394e-02, eta: 1 day, 12:42:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9637, loss_cls: 3.4591, loss: 3.4591 +2025-06-03 02:48:46,294 - pyskl - INFO - Epoch [20][2000/2353] lr: 2.394e-02, eta: 1 day, 12:41:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7956, top5_acc: 0.9650, loss_cls: 3.3278, loss: 3.3278 +2025-06-03 02:49:29,488 - pyskl - INFO - Epoch [20][2100/2353] lr: 2.393e-02, eta: 1 day, 12:40:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9681, loss_cls: 3.4604, loss: 3.4604 +2025-06-03 02:50:12,319 - pyskl - INFO - Epoch [20][2200/2353] lr: 2.393e-02, eta: 1 day, 12:40:05, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9650, loss_cls: 3.3955, loss: 3.3955 +2025-06-03 02:50:55,400 - pyskl - INFO - Epoch [20][2300/2353] lr: 2.392e-02, eta: 1 day, 12:39:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9625, loss_cls: 3.3366, loss: 3.3366 +2025-06-03 02:51:18,854 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-06-03 03:00:31,732 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:00:31,808 - pyskl - INFO - +top1_acc 0.8257 +top5_acc 0.9787 +2025-06-03 03:00:31,811 - pyskl - INFO - Epoch(val) [20][1184] top1_acc: 0.8257, top5_acc: 0.9787 +2025-06-03 03:01:34,984 - pyskl - INFO - Epoch [21][100/2353] lr: 2.391e-02, eta: 1 day, 12:37:58, time: 0.632, data_time: 0.200, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9700, loss_cls: 3.2726, loss: 3.2726 +2025-06-03 03:02:18,201 - pyskl - INFO - Epoch [21][200/2353] lr: 2.391e-02, eta: 1 day, 12:37:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9675, loss_cls: 3.2147, loss: 3.2147 +2025-06-03 03:03:01,374 - pyskl - INFO - Epoch [21][300/2353] lr: 2.391e-02, eta: 1 day, 12:36:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9688, loss_cls: 3.3184, loss: 3.3184 +2025-06-03 03:03:44,476 - pyskl - INFO - Epoch [21][400/2353] lr: 2.390e-02, eta: 1 day, 12:35:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8063, top5_acc: 0.9750, loss_cls: 3.2589, loss: 3.2589 +2025-06-03 03:04:27,498 - pyskl - INFO - Epoch [21][500/2353] lr: 2.390e-02, eta: 1 day, 12:35:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9706, loss_cls: 3.3035, loss: 3.3035 +2025-06-03 03:05:10,684 - pyskl - INFO - Epoch [21][600/2353] lr: 2.389e-02, eta: 1 day, 12:34:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9619, loss_cls: 3.3734, loss: 3.3734 +2025-06-03 03:05:53,706 - pyskl - INFO - Epoch [21][700/2353] lr: 2.389e-02, eta: 1 day, 12:33:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9650, loss_cls: 3.3752, loss: 3.3752 +2025-06-03 03:06:36,846 - pyskl - INFO - Epoch [21][800/2353] lr: 2.388e-02, eta: 1 day, 12:32:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9725, loss_cls: 3.4194, loss: 3.4194 +2025-06-03 03:07:20,101 - pyskl - INFO - Epoch [21][900/2353] lr: 2.388e-02, eta: 1 day, 12:32:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9694, loss_cls: 3.4158, loss: 3.4158 +2025-06-03 03:08:03,198 - pyskl - INFO - Epoch [21][1000/2353] lr: 2.387e-02, eta: 1 day, 12:31:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9663, loss_cls: 3.3936, loss: 3.3936 +2025-06-03 03:08:46,479 - pyskl - INFO - Epoch [21][1100/2353] lr: 2.387e-02, eta: 1 day, 12:30:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9625, loss_cls: 3.3633, loss: 3.3633 +2025-06-03 03:09:29,683 - pyskl - INFO - Epoch [21][1200/2353] lr: 2.386e-02, eta: 1 day, 12:30:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9738, loss_cls: 3.3395, loss: 3.3395 +2025-06-03 03:10:12,969 - pyskl - INFO - Epoch [21][1300/2353] lr: 2.386e-02, eta: 1 day, 12:29:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9688, loss_cls: 3.3893, loss: 3.3893 +2025-06-03 03:10:56,181 - pyskl - INFO - Epoch [21][1400/2353] lr: 2.386e-02, eta: 1 day, 12:28:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9756, loss_cls: 3.1901, loss: 3.1901 +2025-06-03 03:11:39,343 - pyskl - INFO - Epoch [21][1500/2353] lr: 2.385e-02, eta: 1 day, 12:27:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9644, loss_cls: 3.4153, loss: 3.4153 +2025-06-03 03:12:22,554 - pyskl - INFO - Epoch [21][1600/2353] lr: 2.385e-02, eta: 1 day, 12:27:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7825, top5_acc: 0.9719, loss_cls: 3.4194, loss: 3.4194 +2025-06-03 03:13:05,666 - pyskl - INFO - Epoch [21][1700/2353] lr: 2.384e-02, eta: 1 day, 12:26:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7881, top5_acc: 0.9656, loss_cls: 3.4593, loss: 3.4593 +2025-06-03 03:13:48,871 - pyskl - INFO - Epoch [21][1800/2353] lr: 2.384e-02, eta: 1 day, 12:25:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9681, loss_cls: 3.3213, loss: 3.3213 +2025-06-03 03:14:31,995 - pyskl - INFO - Epoch [21][1900/2353] lr: 2.383e-02, eta: 1 day, 12:25:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9600, loss_cls: 3.4465, loss: 3.4465 +2025-06-03 03:15:15,129 - pyskl - INFO - Epoch [21][2000/2353] lr: 2.383e-02, eta: 1 day, 12:24:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7669, top5_acc: 0.9606, loss_cls: 3.4974, loss: 3.4974 +2025-06-03 03:15:58,235 - pyskl - INFO - Epoch [21][2100/2353] lr: 2.382e-02, eta: 1 day, 12:23:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7856, top5_acc: 0.9669, loss_cls: 3.4698, loss: 3.4698 +2025-06-03 03:16:41,369 - pyskl - INFO - Epoch [21][2200/2353] lr: 2.382e-02, eta: 1 day, 12:22:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9669, loss_cls: 3.4502, loss: 3.4502 +2025-06-03 03:17:24,568 - pyskl - INFO - Epoch [21][2300/2353] lr: 2.381e-02, eta: 1 day, 12:22:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7863, top5_acc: 0.9600, loss_cls: 3.5014, loss: 3.5014 +2025-06-03 03:17:48,202 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-06-03 03:19:13,508 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:19:13,583 - pyskl - INFO - +top1_acc 0.8219 +top5_acc 0.9811 +2025-06-03 03:19:13,586 - pyskl - INFO - Epoch(val) [21][1184] top1_acc: 0.8219, top5_acc: 0.9811 +2025-06-03 03:20:17,195 - pyskl - INFO - Epoch [22][100/2353] lr: 2.381e-02, eta: 1 day, 12:20:53, time: 0.636, data_time: 0.204, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9712, loss_cls: 3.3248, loss: 3.3248 +2025-06-03 03:21:00,456 - pyskl - INFO - Epoch [22][200/2353] lr: 2.380e-02, eta: 1 day, 12:20:11, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9675, loss_cls: 3.2471, loss: 3.2471 +2025-06-03 03:21:43,574 - pyskl - INFO - Epoch [22][300/2353] lr: 2.380e-02, eta: 1 day, 12:19:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9606, loss_cls: 3.3016, loss: 3.3016 +2025-06-03 03:22:26,695 - pyskl - INFO - Epoch [22][400/2353] lr: 2.379e-02, eta: 1 day, 12:18:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9762, loss_cls: 3.2110, loss: 3.2110 +2025-06-03 03:23:09,850 - pyskl - INFO - Epoch [22][500/2353] lr: 2.379e-02, eta: 1 day, 12:18:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9706, loss_cls: 3.3023, loss: 3.3023 +2025-06-03 03:23:52,881 - pyskl - INFO - Epoch [22][600/2353] lr: 2.378e-02, eta: 1 day, 12:17:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9744, loss_cls: 3.3079, loss: 3.3079 +2025-06-03 03:24:35,985 - pyskl - INFO - Epoch [22][700/2353] lr: 2.378e-02, eta: 1 day, 12:16:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9669, loss_cls: 3.3215, loss: 3.3215 +2025-06-03 03:25:19,088 - pyskl - INFO - Epoch [22][800/2353] lr: 2.377e-02, eta: 1 day, 12:15:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9669, loss_cls: 3.3167, loss: 3.3167 +2025-06-03 03:26:02,106 - pyskl - INFO - Epoch [22][900/2353] lr: 2.377e-02, eta: 1 day, 12:15:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9619, loss_cls: 3.3647, loss: 3.3647 +2025-06-03 03:26:45,147 - pyskl - INFO - Epoch [22][1000/2353] lr: 2.376e-02, eta: 1 day, 12:14:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9650, loss_cls: 3.2961, loss: 3.2961 +2025-06-03 03:27:28,156 - pyskl - INFO - Epoch [22][1100/2353] lr: 2.376e-02, eta: 1 day, 12:13:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9675, loss_cls: 3.3149, loss: 3.3149 +2025-06-03 03:28:11,145 - pyskl - INFO - Epoch [22][1200/2353] lr: 2.375e-02, eta: 1 day, 12:12:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9688, loss_cls: 3.3625, loss: 3.3625 +2025-06-03 03:28:54,162 - pyskl - INFO - Epoch [22][1300/2353] lr: 2.375e-02, eta: 1 day, 12:12:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9606, loss_cls: 3.4759, loss: 3.4759 +2025-06-03 03:29:37,328 - pyskl - INFO - Epoch [22][1400/2353] lr: 2.374e-02, eta: 1 day, 12:11:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9656, loss_cls: 3.3419, loss: 3.3419 +2025-06-03 03:30:20,618 - pyskl - INFO - Epoch [22][1500/2353] lr: 2.374e-02, eta: 1 day, 12:10:47, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9631, loss_cls: 3.3848, loss: 3.3848 +2025-06-03 03:31:04,003 - pyskl - INFO - Epoch [22][1600/2353] lr: 2.373e-02, eta: 1 day, 12:10:06, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9775, loss_cls: 3.3391, loss: 3.3391 +2025-06-03 03:31:47,010 - pyskl - INFO - Epoch [22][1700/2353] lr: 2.373e-02, eta: 1 day, 12:09:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9619, loss_cls: 3.3087, loss: 3.3087 +2025-06-03 03:32:30,036 - pyskl - INFO - Epoch [22][1800/2353] lr: 2.372e-02, eta: 1 day, 12:08:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9681, loss_cls: 3.3209, loss: 3.3209 +2025-06-03 03:33:12,988 - pyskl - INFO - Epoch [22][1900/2353] lr: 2.372e-02, eta: 1 day, 12:07:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9706, loss_cls: 3.3305, loss: 3.3305 +2025-06-03 03:33:56,009 - pyskl - INFO - Epoch [22][2000/2353] lr: 2.371e-02, eta: 1 day, 12:07:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9600, loss_cls: 3.2829, loss: 3.2829 +2025-06-03 03:34:39,240 - pyskl - INFO - Epoch [22][2100/2353] lr: 2.371e-02, eta: 1 day, 12:06:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7906, top5_acc: 0.9650, loss_cls: 3.4334, loss: 3.4334 +2025-06-03 03:35:22,232 - pyskl - INFO - Epoch [22][2200/2353] lr: 2.370e-02, eta: 1 day, 12:05:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9637, loss_cls: 3.3754, loss: 3.3754 +2025-06-03 03:36:05,515 - pyskl - INFO - Epoch [22][2300/2353] lr: 2.370e-02, eta: 1 day, 12:05:02, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9669, loss_cls: 3.3079, loss: 3.3079 +2025-06-03 03:36:28,970 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-06-03 03:37:53,735 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:37:53,810 - pyskl - INFO - +top1_acc 0.8465 +top5_acc 0.9848 +2025-06-03 03:37:53,814 - pyskl - INFO - Epoch(val) [22][1184] top1_acc: 0.8465, top5_acc: 0.9848 +2025-06-03 03:38:56,982 - pyskl - INFO - Epoch [23][100/2353] lr: 2.369e-02, eta: 1 day, 12:03:40, time: 0.632, data_time: 0.201, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9644, loss_cls: 3.2705, loss: 3.2705 +2025-06-03 03:39:40,182 - pyskl - INFO - Epoch [23][200/2353] lr: 2.369e-02, eta: 1 day, 12:02:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9769, loss_cls: 3.3266, loss: 3.3266 +2025-06-03 03:40:23,323 - pyskl - INFO - Epoch [23][300/2353] lr: 2.368e-02, eta: 1 day, 12:02:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9656, loss_cls: 3.3370, loss: 3.3370 +2025-06-03 03:41:06,490 - pyskl - INFO - Epoch [23][400/2353] lr: 2.368e-02, eta: 1 day, 12:01:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7975, top5_acc: 0.9731, loss_cls: 3.2670, loss: 3.2670 +2025-06-03 03:41:49,569 - pyskl - INFO - Epoch [23][500/2353] lr: 2.367e-02, eta: 1 day, 12:00:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9706, loss_cls: 3.4258, loss: 3.4258 +2025-06-03 03:42:32,714 - pyskl - INFO - Epoch [23][600/2353] lr: 2.367e-02, eta: 1 day, 12:00:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9744, loss_cls: 3.2780, loss: 3.2780 +2025-06-03 03:43:15,834 - pyskl - INFO - Epoch [23][700/2353] lr: 2.366e-02, eta: 1 day, 11:59:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9694, loss_cls: 3.3714, loss: 3.3714 +2025-06-03 03:43:58,885 - pyskl - INFO - Epoch [23][800/2353] lr: 2.366e-02, eta: 1 day, 11:58:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9681, loss_cls: 3.2617, loss: 3.2617 +2025-06-03 03:44:42,048 - pyskl - INFO - Epoch [23][900/2353] lr: 2.365e-02, eta: 1 day, 11:57:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9694, loss_cls: 3.3552, loss: 3.3552 +2025-06-03 03:45:25,165 - pyskl - INFO - Epoch [23][1000/2353] lr: 2.365e-02, eta: 1 day, 11:57:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9688, loss_cls: 3.2933, loss: 3.2933 +2025-06-03 03:46:08,327 - pyskl - INFO - Epoch [23][1100/2353] lr: 2.364e-02, eta: 1 day, 11:56:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9625, loss_cls: 3.3629, loss: 3.3629 +2025-06-03 03:46:51,306 - pyskl - INFO - Epoch [23][1200/2353] lr: 2.364e-02, eta: 1 day, 11:55:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7969, top5_acc: 0.9631, loss_cls: 3.3522, loss: 3.3522 +2025-06-03 03:47:34,288 - pyskl - INFO - Epoch [23][1300/2353] lr: 2.363e-02, eta: 1 day, 11:55:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9688, loss_cls: 3.3775, loss: 3.3775 +2025-06-03 03:48:17,355 - pyskl - INFO - Epoch [23][1400/2353] lr: 2.363e-02, eta: 1 day, 11:54:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9619, loss_cls: 3.3290, loss: 3.3290 +2025-06-03 03:49:00,525 - pyskl - INFO - Epoch [23][1500/2353] lr: 2.362e-02, eta: 1 day, 11:53:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9656, loss_cls: 3.2609, loss: 3.2609 +2025-06-03 03:49:43,598 - pyskl - INFO - Epoch [23][1600/2353] lr: 2.362e-02, eta: 1 day, 11:52:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9725, loss_cls: 3.3863, loss: 3.3863 +2025-06-03 03:50:26,774 - pyskl - INFO - Epoch [23][1700/2353] lr: 2.361e-02, eta: 1 day, 11:52:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9712, loss_cls: 3.2690, loss: 3.2690 +2025-06-03 03:51:09,956 - pyskl - INFO - Epoch [23][1800/2353] lr: 2.361e-02, eta: 1 day, 11:51:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9694, loss_cls: 3.3436, loss: 3.3436 +2025-06-03 03:51:53,087 - pyskl - INFO - Epoch [23][1900/2353] lr: 2.360e-02, eta: 1 day, 11:50:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7981, top5_acc: 0.9606, loss_cls: 3.3363, loss: 3.3363 +2025-06-03 03:52:36,183 - pyskl - INFO - Epoch [23][2000/2353] lr: 2.360e-02, eta: 1 day, 11:50:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9644, loss_cls: 3.3380, loss: 3.3380 +2025-06-03 03:53:19,365 - pyskl - INFO - Epoch [23][2100/2353] lr: 2.359e-02, eta: 1 day, 11:49:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9769, loss_cls: 3.2845, loss: 3.2845 +2025-06-03 03:54:02,451 - pyskl - INFO - Epoch [23][2200/2353] lr: 2.359e-02, eta: 1 day, 11:48:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9625, loss_cls: 3.3806, loss: 3.3806 +2025-06-03 03:54:45,728 - pyskl - INFO - Epoch [23][2300/2353] lr: 2.358e-02, eta: 1 day, 11:47:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9656, loss_cls: 3.2350, loss: 3.2350 +2025-06-03 03:55:09,273 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-06-03 03:56:34,006 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 03:56:34,083 - pyskl - INFO - +top1_acc 0.8469 +top5_acc 0.9873 +2025-06-03 03:56:34,086 - pyskl - INFO - Epoch(val) [23][1184] top1_acc: 0.8469, top5_acc: 0.9873 +2025-06-03 03:57:37,418 - pyskl - INFO - Epoch [24][100/2353] lr: 2.357e-02, eta: 1 day, 11:46:31, time: 0.633, data_time: 0.202, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9650, loss_cls: 3.3272, loss: 3.3272 +2025-06-03 03:58:20,588 - pyskl - INFO - Epoch [24][200/2353] lr: 2.357e-02, eta: 1 day, 11:45:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9738, loss_cls: 3.2249, loss: 3.2249 +2025-06-03 03:59:03,672 - pyskl - INFO - Epoch [24][300/2353] lr: 2.356e-02, eta: 1 day, 11:45:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7887, top5_acc: 0.9656, loss_cls: 3.4114, loss: 3.4114 +2025-06-03 03:59:46,692 - pyskl - INFO - Epoch [24][400/2353] lr: 2.356e-02, eta: 1 day, 11:44:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9719, loss_cls: 3.2635, loss: 3.2635 +2025-06-03 04:00:29,732 - pyskl - INFO - Epoch [24][500/2353] lr: 2.355e-02, eta: 1 day, 11:43:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9669, loss_cls: 3.3765, loss: 3.3765 +2025-06-03 04:01:12,735 - pyskl - INFO - Epoch [24][600/2353] lr: 2.355e-02, eta: 1 day, 11:42:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9769, loss_cls: 3.1884, loss: 3.1884 +2025-06-03 04:01:55,938 - pyskl - INFO - Epoch [24][700/2353] lr: 2.354e-02, eta: 1 day, 11:42:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9700, loss_cls: 3.3099, loss: 3.3099 +2025-06-03 04:02:39,043 - pyskl - INFO - Epoch [24][800/2353] lr: 2.354e-02, eta: 1 day, 11:41:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9756, loss_cls: 3.2070, loss: 3.2070 +2025-06-03 04:03:22,107 - pyskl - INFO - Epoch [24][900/2353] lr: 2.353e-02, eta: 1 day, 11:40:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9569, loss_cls: 3.3063, loss: 3.3063 +2025-06-03 04:04:05,214 - pyskl - INFO - Epoch [24][1000/2353] lr: 2.353e-02, eta: 1 day, 11:40:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9637, loss_cls: 3.2703, loss: 3.2703 +2025-06-03 04:04:48,319 - pyskl - INFO - Epoch [24][1100/2353] lr: 2.352e-02, eta: 1 day, 11:39:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9681, loss_cls: 3.2355, loss: 3.2355 +2025-06-03 04:05:31,510 - pyskl - INFO - Epoch [24][1200/2353] lr: 2.352e-02, eta: 1 day, 11:38:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9712, loss_cls: 3.3142, loss: 3.3142 +2025-06-03 04:06:14,728 - pyskl - INFO - Epoch [24][1300/2353] lr: 2.351e-02, eta: 1 day, 11:37:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9712, loss_cls: 3.4770, loss: 3.4770 +2025-06-03 04:06:58,036 - pyskl - INFO - Epoch [24][1400/2353] lr: 2.350e-02, eta: 1 day, 11:37:12, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9694, loss_cls: 3.3024, loss: 3.3024 +2025-06-03 04:07:41,286 - pyskl - INFO - Epoch [24][1500/2353] lr: 2.350e-02, eta: 1 day, 11:36:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9663, loss_cls: 3.2537, loss: 3.2537 +2025-06-03 04:08:24,593 - pyskl - INFO - Epoch [24][1600/2353] lr: 2.349e-02, eta: 1 day, 11:35:47, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9731, loss_cls: 3.3470, loss: 3.3470 +2025-06-03 04:09:07,808 - pyskl - INFO - Epoch [24][1700/2353] lr: 2.349e-02, eta: 1 day, 11:35:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.7937, top5_acc: 0.9644, loss_cls: 3.4131, loss: 3.4131 +2025-06-03 04:09:51,096 - pyskl - INFO - Epoch [24][1800/2353] lr: 2.348e-02, eta: 1 day, 11:34:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9681, loss_cls: 3.3642, loss: 3.3642 +2025-06-03 04:10:34,260 - pyskl - INFO - Epoch [24][1900/2353] lr: 2.348e-02, eta: 1 day, 11:33:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9663, loss_cls: 3.3733, loss: 3.3733 +2025-06-03 04:11:17,391 - pyskl - INFO - Epoch [24][2000/2353] lr: 2.347e-02, eta: 1 day, 11:32:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7712, top5_acc: 0.9544, loss_cls: 3.5266, loss: 3.5266 +2025-06-03 04:12:00,471 - pyskl - INFO - Epoch [24][2100/2353] lr: 2.347e-02, eta: 1 day, 11:32:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9744, loss_cls: 3.2468, loss: 3.2468 +2025-06-03 04:12:43,586 - pyskl - INFO - Epoch [24][2200/2353] lr: 2.346e-02, eta: 1 day, 11:31:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7894, top5_acc: 0.9738, loss_cls: 3.3956, loss: 3.3956 +2025-06-03 04:13:26,964 - pyskl - INFO - Epoch [24][2300/2353] lr: 2.346e-02, eta: 1 day, 11:30:48, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.7950, top5_acc: 0.9663, loss_cls: 3.3079, loss: 3.3079 +2025-06-03 04:13:50,558 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-06-03 04:15:15,586 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:15:15,662 - pyskl - INFO - +top1_acc 0.8748 +top5_acc 0.9870 +2025-06-03 04:15:15,717 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_19.pth was removed +2025-06-03 04:15:16,747 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-06-03 04:15:16,748 - pyskl - INFO - Best top1_acc is 0.8748 at 24 epoch. +2025-06-03 04:15:16,750 - pyskl - INFO - Epoch(val) [24][1184] top1_acc: 0.8748, top5_acc: 0.9870 +2025-06-03 04:16:19,806 - pyskl - INFO - Epoch [25][100/2353] lr: 2.345e-02, eta: 1 day, 11:29:27, time: 0.631, data_time: 0.199, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9738, loss_cls: 3.1748, loss: 3.1748 +2025-06-03 04:17:02,940 - pyskl - INFO - Epoch [25][200/2353] lr: 2.344e-02, eta: 1 day, 11:28:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9669, loss_cls: 3.1905, loss: 3.1905 +2025-06-03 04:17:46,094 - pyskl - INFO - Epoch [25][300/2353] lr: 2.344e-02, eta: 1 day, 11:28:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9688, loss_cls: 3.2976, loss: 3.2976 +2025-06-03 04:18:29,223 - pyskl - INFO - Epoch [25][400/2353] lr: 2.343e-02, eta: 1 day, 11:27:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9719, loss_cls: 3.1855, loss: 3.1855 +2025-06-03 04:19:12,382 - pyskl - INFO - Epoch [25][500/2353] lr: 2.343e-02, eta: 1 day, 11:26:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9731, loss_cls: 3.2417, loss: 3.2417 +2025-06-03 04:19:55,492 - pyskl - INFO - Epoch [25][600/2353] lr: 2.342e-02, eta: 1 day, 11:25:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9656, loss_cls: 3.3340, loss: 3.3340 +2025-06-03 04:20:38,634 - pyskl - INFO - Epoch [25][700/2353] lr: 2.342e-02, eta: 1 day, 11:25:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9750, loss_cls: 3.2333, loss: 3.2333 +2025-06-03 04:21:21,722 - pyskl - INFO - Epoch [25][800/2353] lr: 2.341e-02, eta: 1 day, 11:24:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9725, loss_cls: 3.1620, loss: 3.1620 +2025-06-03 04:22:04,826 - pyskl - INFO - Epoch [25][900/2353] lr: 2.341e-02, eta: 1 day, 11:23:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9694, loss_cls: 3.1534, loss: 3.1534 +2025-06-03 04:22:47,807 - pyskl - INFO - Epoch [25][1000/2353] lr: 2.340e-02, eta: 1 day, 11:22:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9719, loss_cls: 3.2107, loss: 3.2107 +2025-06-03 04:23:30,810 - pyskl - INFO - Epoch [25][1100/2353] lr: 2.339e-02, eta: 1 day, 11:22:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9706, loss_cls: 3.2736, loss: 3.2736 +2025-06-03 04:24:13,867 - pyskl - INFO - Epoch [25][1200/2353] lr: 2.339e-02, eta: 1 day, 11:21:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9663, loss_cls: 3.3459, loss: 3.3459 +2025-06-03 04:24:56,898 - pyskl - INFO - Epoch [25][1300/2353] lr: 2.338e-02, eta: 1 day, 11:20:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9731, loss_cls: 3.2141, loss: 3.2141 +2025-06-03 04:25:39,941 - pyskl - INFO - Epoch [25][1400/2353] lr: 2.338e-02, eta: 1 day, 11:20:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9700, loss_cls: 3.1926, loss: 3.1926 +2025-06-03 04:26:23,089 - pyskl - INFO - Epoch [25][1500/2353] lr: 2.337e-02, eta: 1 day, 11:19:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9712, loss_cls: 3.1739, loss: 3.1739 +2025-06-03 04:27:06,107 - pyskl - INFO - Epoch [25][1600/2353] lr: 2.337e-02, eta: 1 day, 11:18:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8019, top5_acc: 0.9725, loss_cls: 3.2482, loss: 3.2482 +2025-06-03 04:27:49,247 - pyskl - INFO - Epoch [25][1700/2353] lr: 2.336e-02, eta: 1 day, 11:17:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9675, loss_cls: 3.2922, loss: 3.2922 +2025-06-03 04:28:32,568 - pyskl - INFO - Epoch [25][1800/2353] lr: 2.336e-02, eta: 1 day, 11:17:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.7963, top5_acc: 0.9656, loss_cls: 3.3356, loss: 3.3356 +2025-06-03 04:29:15,375 - pyskl - INFO - Epoch [25][1900/2353] lr: 2.335e-02, eta: 1 day, 11:16:29, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9675, loss_cls: 3.3579, loss: 3.3579 +2025-06-03 04:29:58,405 - pyskl - INFO - Epoch [25][2000/2353] lr: 2.334e-02, eta: 1 day, 11:15:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9688, loss_cls: 3.2635, loss: 3.2635 +2025-06-03 04:30:41,387 - pyskl - INFO - Epoch [25][2100/2353] lr: 2.334e-02, eta: 1 day, 11:15:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9688, loss_cls: 3.1554, loss: 3.1554 +2025-06-03 04:31:24,572 - pyskl - INFO - Epoch [25][2200/2353] lr: 2.333e-02, eta: 1 day, 11:14:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9688, loss_cls: 3.3426, loss: 3.3426 +2025-06-03 04:32:07,577 - pyskl - INFO - Epoch [25][2300/2353] lr: 2.333e-02, eta: 1 day, 11:13:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9675, loss_cls: 3.3023, loss: 3.3023 +2025-06-03 04:32:30,857 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-06-03 04:41:42,199 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 04:41:42,275 - pyskl - INFO - +top1_acc 0.8468 +top5_acc 0.9821 +2025-06-03 04:41:42,280 - pyskl - INFO - Epoch(val) [25][1184] top1_acc: 0.8468, top5_acc: 0.9821 +2025-06-03 04:42:46,959 - pyskl - INFO - Epoch [26][100/2353] lr: 2.332e-02, eta: 1 day, 11:12:23, time: 0.647, data_time: 0.212, memory: 13127, top1_acc: 0.7925, top5_acc: 0.9712, loss_cls: 3.2671, loss: 3.2671 +2025-06-03 04:43:30,266 - pyskl - INFO - Epoch [26][200/2353] lr: 2.331e-02, eta: 1 day, 11:11:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9731, loss_cls: 3.2151, loss: 3.2151 +2025-06-03 04:44:13,540 - pyskl - INFO - Epoch [26][300/2353] lr: 2.331e-02, eta: 1 day, 11:10:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9656, loss_cls: 3.3010, loss: 3.3010 +2025-06-03 04:44:56,692 - pyskl - INFO - Epoch [26][400/2353] lr: 2.330e-02, eta: 1 day, 11:10:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9650, loss_cls: 3.3596, loss: 3.3596 +2025-06-03 04:45:39,819 - pyskl - INFO - Epoch [26][500/2353] lr: 2.330e-02, eta: 1 day, 11:09:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9744, loss_cls: 3.1521, loss: 3.1521 +2025-06-03 04:46:23,025 - pyskl - INFO - Epoch [26][600/2353] lr: 2.329e-02, eta: 1 day, 11:08:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9694, loss_cls: 3.1903, loss: 3.1903 +2025-06-03 04:47:06,154 - pyskl - INFO - Epoch [26][700/2353] lr: 2.329e-02, eta: 1 day, 11:08:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9769, loss_cls: 3.2702, loss: 3.2702 +2025-06-03 04:47:49,307 - pyskl - INFO - Epoch [26][800/2353] lr: 2.328e-02, eta: 1 day, 11:07:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9700, loss_cls: 3.1988, loss: 3.1988 +2025-06-03 04:48:32,478 - pyskl - INFO - Epoch [26][900/2353] lr: 2.327e-02, eta: 1 day, 11:06:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8069, top5_acc: 0.9712, loss_cls: 3.2990, loss: 3.2990 +2025-06-03 04:49:15,596 - pyskl - INFO - Epoch [26][1000/2353] lr: 2.327e-02, eta: 1 day, 11:05:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9738, loss_cls: 3.2940, loss: 3.2940 +2025-06-03 04:49:58,654 - pyskl - INFO - Epoch [26][1100/2353] lr: 2.326e-02, eta: 1 day, 11:05:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9706, loss_cls: 3.2919, loss: 3.2919 +2025-06-03 04:50:41,751 - pyskl - INFO - Epoch [26][1200/2353] lr: 2.326e-02, eta: 1 day, 11:04:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.7869, top5_acc: 0.9656, loss_cls: 3.4252, loss: 3.4252 +2025-06-03 04:51:24,797 - pyskl - INFO - Epoch [26][1300/2353] lr: 2.325e-02, eta: 1 day, 11:03:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9694, loss_cls: 3.1559, loss: 3.1559 +2025-06-03 04:52:07,935 - pyskl - INFO - Epoch [26][1400/2353] lr: 2.325e-02, eta: 1 day, 11:03:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9719, loss_cls: 3.2760, loss: 3.2760 +2025-06-03 04:52:50,988 - pyskl - INFO - Epoch [26][1500/2353] lr: 2.324e-02, eta: 1 day, 11:02:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9744, loss_cls: 3.1958, loss: 3.1958 +2025-06-03 04:53:34,214 - pyskl - INFO - Epoch [26][1600/2353] lr: 2.324e-02, eta: 1 day, 11:01:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9688, loss_cls: 3.2427, loss: 3.2427 +2025-06-03 04:54:17,531 - pyskl - INFO - Epoch [26][1700/2353] lr: 2.323e-02, eta: 1 day, 11:00:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9712, loss_cls: 3.1521, loss: 3.1521 +2025-06-03 04:55:00,822 - pyskl - INFO - Epoch [26][1800/2353] lr: 2.322e-02, eta: 1 day, 11:00:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9663, loss_cls: 3.2667, loss: 3.2667 +2025-06-03 04:55:43,933 - pyskl - INFO - Epoch [26][1900/2353] lr: 2.322e-02, eta: 1 day, 10:59:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9637, loss_cls: 3.1941, loss: 3.1941 +2025-06-03 04:56:27,055 - pyskl - INFO - Epoch [26][2000/2353] lr: 2.321e-02, eta: 1 day, 10:58:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9712, loss_cls: 3.1509, loss: 3.1509 +2025-06-03 04:57:10,222 - pyskl - INFO - Epoch [26][2100/2353] lr: 2.321e-02, eta: 1 day, 10:58:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8100, top5_acc: 0.9681, loss_cls: 3.2789, loss: 3.2789 +2025-06-03 04:57:53,421 - pyskl - INFO - Epoch [26][2200/2353] lr: 2.320e-02, eta: 1 day, 10:57:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9631, loss_cls: 3.3970, loss: 3.3970 +2025-06-03 04:58:36,386 - pyskl - INFO - Epoch [26][2300/2353] lr: 2.320e-02, eta: 1 day, 10:56:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9694, loss_cls: 3.3083, loss: 3.3083 +2025-06-03 04:58:59,602 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-06-03 05:00:24,861 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:00:24,936 - pyskl - INFO - +top1_acc 0.8662 +top5_acc 0.9876 +2025-06-03 05:00:24,939 - pyskl - INFO - Epoch(val) [26][1184] top1_acc: 0.8662, top5_acc: 0.9876 +2025-06-03 05:01:28,396 - pyskl - INFO - Epoch [27][100/2353] lr: 2.319e-02, eta: 1 day, 10:55:22, time: 0.635, data_time: 0.204, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9694, loss_cls: 3.1548, loss: 3.1548 +2025-06-03 05:02:11,419 - pyskl - INFO - Epoch [27][200/2353] lr: 2.318e-02, eta: 1 day, 10:54:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9719, loss_cls: 3.2197, loss: 3.2197 +2025-06-03 05:02:54,512 - pyskl - INFO - Epoch [27][300/2353] lr: 2.317e-02, eta: 1 day, 10:53:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8156, top5_acc: 0.9731, loss_cls: 3.2642, loss: 3.2642 +2025-06-03 05:03:37,701 - pyskl - INFO - Epoch [27][400/2353] lr: 2.317e-02, eta: 1 day, 10:53:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9606, loss_cls: 3.4223, loss: 3.4223 +2025-06-03 05:04:20,919 - pyskl - INFO - Epoch [27][500/2353] lr: 2.316e-02, eta: 1 day, 10:52:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9738, loss_cls: 3.1919, loss: 3.1919 +2025-06-03 05:05:04,149 - pyskl - INFO - Epoch [27][600/2353] lr: 2.316e-02, eta: 1 day, 10:51:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9681, loss_cls: 3.2928, loss: 3.2928 +2025-06-03 05:05:47,422 - pyskl - INFO - Epoch [27][700/2353] lr: 2.315e-02, eta: 1 day, 10:51:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9694, loss_cls: 3.2198, loss: 3.2198 +2025-06-03 05:06:30,694 - pyskl - INFO - Epoch [27][800/2353] lr: 2.315e-02, eta: 1 day, 10:50:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9756, loss_cls: 3.2289, loss: 3.2289 +2025-06-03 05:07:13,943 - pyskl - INFO - Epoch [27][900/2353] lr: 2.314e-02, eta: 1 day, 10:49:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9738, loss_cls: 3.1649, loss: 3.1649 +2025-06-03 05:07:56,991 - pyskl - INFO - Epoch [27][1000/2353] lr: 2.313e-02, eta: 1 day, 10:48:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9750, loss_cls: 3.1807, loss: 3.1807 +2025-06-03 05:08:40,180 - pyskl - INFO - Epoch [27][1100/2353] lr: 2.313e-02, eta: 1 day, 10:48:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9625, loss_cls: 3.2916, loss: 3.2916 +2025-06-03 05:09:23,125 - pyskl - INFO - Epoch [27][1200/2353] lr: 2.312e-02, eta: 1 day, 10:47:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.7919, top5_acc: 0.9700, loss_cls: 3.2768, loss: 3.2768 +2025-06-03 05:10:06,107 - pyskl - INFO - Epoch [27][1300/2353] lr: 2.312e-02, eta: 1 day, 10:46:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9681, loss_cls: 3.1738, loss: 3.1738 +2025-06-03 05:10:49,168 - pyskl - INFO - Epoch [27][1400/2353] lr: 2.311e-02, eta: 1 day, 10:46:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9788, loss_cls: 3.1601, loss: 3.1601 +2025-06-03 05:11:32,518 - pyskl - INFO - Epoch [27][1500/2353] lr: 2.310e-02, eta: 1 day, 10:45:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9738, loss_cls: 3.1460, loss: 3.1460 +2025-06-03 05:12:15,627 - pyskl - INFO - Epoch [27][1600/2353] lr: 2.310e-02, eta: 1 day, 10:44:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9800, loss_cls: 3.1563, loss: 3.1563 +2025-06-03 05:12:58,770 - pyskl - INFO - Epoch [27][1700/2353] lr: 2.309e-02, eta: 1 day, 10:43:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8037, top5_acc: 0.9675, loss_cls: 3.3636, loss: 3.3636 +2025-06-03 05:13:41,811 - pyskl - INFO - Epoch [27][1800/2353] lr: 2.309e-02, eta: 1 day, 10:43:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.7944, top5_acc: 0.9675, loss_cls: 3.3298, loss: 3.3298 +2025-06-03 05:14:25,022 - pyskl - INFO - Epoch [27][1900/2353] lr: 2.308e-02, eta: 1 day, 10:42:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9756, loss_cls: 3.1643, loss: 3.1643 +2025-06-03 05:15:08,043 - pyskl - INFO - Epoch [27][2000/2353] lr: 2.308e-02, eta: 1 day, 10:41:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9719, loss_cls: 3.2986, loss: 3.2986 +2025-06-03 05:15:51,066 - pyskl - INFO - Epoch [27][2100/2353] lr: 2.307e-02, eta: 1 day, 10:41:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9762, loss_cls: 3.2217, loss: 3.2217 +2025-06-03 05:16:33,874 - pyskl - INFO - Epoch [27][2200/2353] lr: 2.306e-02, eta: 1 day, 10:40:18, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9731, loss_cls: 3.3159, loss: 3.3159 +2025-06-03 05:17:17,235 - pyskl - INFO - Epoch [27][2300/2353] lr: 2.306e-02, eta: 1 day, 10:39:36, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9719, loss_cls: 3.2453, loss: 3.2453 +2025-06-03 05:17:40,682 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-06-03 05:19:05,881 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:19:05,955 - pyskl - INFO - +top1_acc 0.8570 +top5_acc 0.9837 +2025-06-03 05:19:05,958 - pyskl - INFO - Epoch(val) [27][1184] top1_acc: 0.8570, top5_acc: 0.9837 +2025-06-03 05:20:09,484 - pyskl - INFO - Epoch [28][100/2353] lr: 2.305e-02, eta: 1 day, 10:38:19, time: 0.635, data_time: 0.203, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9744, loss_cls: 3.1528, loss: 3.1528 +2025-06-03 05:20:52,510 - pyskl - INFO - Epoch [28][200/2353] lr: 2.304e-02, eta: 1 day, 10:37:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9744, loss_cls: 3.0911, loss: 3.0911 +2025-06-03 05:21:35,570 - pyskl - INFO - Epoch [28][300/2353] lr: 2.304e-02, eta: 1 day, 10:36:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9769, loss_cls: 3.1977, loss: 3.1977 +2025-06-03 05:22:18,626 - pyskl - INFO - Epoch [28][400/2353] lr: 2.303e-02, eta: 1 day, 10:36:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9725, loss_cls: 3.1435, loss: 3.1435 +2025-06-03 05:23:01,604 - pyskl - INFO - Epoch [28][500/2353] lr: 2.302e-02, eta: 1 day, 10:35:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9756, loss_cls: 3.2580, loss: 3.2580 +2025-06-03 05:23:44,590 - pyskl - INFO - Epoch [28][600/2353] lr: 2.302e-02, eta: 1 day, 10:34:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9719, loss_cls: 3.2396, loss: 3.2396 +2025-06-03 05:24:27,660 - pyskl - INFO - Epoch [28][700/2353] lr: 2.301e-02, eta: 1 day, 10:33:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9719, loss_cls: 3.1718, loss: 3.1718 +2025-06-03 05:25:10,728 - pyskl - INFO - Epoch [28][800/2353] lr: 2.301e-02, eta: 1 day, 10:33:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9719, loss_cls: 3.2370, loss: 3.2370 +2025-06-03 05:25:53,726 - pyskl - INFO - Epoch [28][900/2353] lr: 2.300e-02, eta: 1 day, 10:32:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9669, loss_cls: 3.2310, loss: 3.2310 +2025-06-03 05:26:36,741 - pyskl - INFO - Epoch [28][1000/2353] lr: 2.299e-02, eta: 1 day, 10:31:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9756, loss_cls: 3.1648, loss: 3.1648 +2025-06-03 05:27:19,762 - pyskl - INFO - Epoch [28][1100/2353] lr: 2.299e-02, eta: 1 day, 10:31:05, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9725, loss_cls: 3.1766, loss: 3.1766 +2025-06-03 05:28:02,768 - pyskl - INFO - Epoch [28][1200/2353] lr: 2.298e-02, eta: 1 day, 10:30:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9675, loss_cls: 3.2168, loss: 3.2168 +2025-06-03 05:28:45,738 - pyskl - INFO - Epoch [28][1300/2353] lr: 2.298e-02, eta: 1 day, 10:29:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9694, loss_cls: 3.2667, loss: 3.2667 +2025-06-03 05:29:28,775 - pyskl - INFO - Epoch [28][1400/2353] lr: 2.297e-02, eta: 1 day, 10:28:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9700, loss_cls: 3.1994, loss: 3.1994 +2025-06-03 05:30:11,865 - pyskl - INFO - Epoch [28][1500/2353] lr: 2.296e-02, eta: 1 day, 10:28:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9762, loss_cls: 3.2261, loss: 3.2261 +2025-06-03 05:30:54,875 - pyskl - INFO - Epoch [28][1600/2353] lr: 2.296e-02, eta: 1 day, 10:27:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9700, loss_cls: 3.2488, loss: 3.2488 +2025-06-03 05:31:37,926 - pyskl - INFO - Epoch [28][1700/2353] lr: 2.295e-02, eta: 1 day, 10:26:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9731, loss_cls: 3.1511, loss: 3.1511 +2025-06-03 05:32:20,951 - pyskl - INFO - Epoch [28][1800/2353] lr: 2.295e-02, eta: 1 day, 10:26:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9731, loss_cls: 3.2569, loss: 3.2569 +2025-06-03 05:33:04,109 - pyskl - INFO - Epoch [28][1900/2353] lr: 2.294e-02, eta: 1 day, 10:25:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9663, loss_cls: 3.2477, loss: 3.2477 +2025-06-03 05:33:47,283 - pyskl - INFO - Epoch [28][2000/2353] lr: 2.293e-02, eta: 1 day, 10:24:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9744, loss_cls: 3.2427, loss: 3.2427 +2025-06-03 05:34:30,428 - pyskl - INFO - Epoch [28][2100/2353] lr: 2.293e-02, eta: 1 day, 10:23:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9681, loss_cls: 3.2970, loss: 3.2970 +2025-06-03 05:35:13,624 - pyskl - INFO - Epoch [28][2200/2353] lr: 2.292e-02, eta: 1 day, 10:23:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9669, loss_cls: 3.3238, loss: 3.3238 +2025-06-03 05:35:56,775 - pyskl - INFO - Epoch [28][2300/2353] lr: 2.291e-02, eta: 1 day, 10:22:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9663, loss_cls: 3.2075, loss: 3.2075 +2025-06-03 05:36:20,267 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-06-03 05:37:44,971 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:37:45,051 - pyskl - INFO - +top1_acc 0.8738 +top5_acc 0.9865 +2025-06-03 05:37:45,054 - pyskl - INFO - Epoch(val) [28][1184] top1_acc: 0.8738, top5_acc: 0.9865 +2025-06-03 05:38:48,422 - pyskl - INFO - Epoch [29][100/2353] lr: 2.291e-02, eta: 1 day, 10:21:10, time: 0.634, data_time: 0.201, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9688, loss_cls: 3.2307, loss: 3.2307 +2025-06-03 05:39:31,503 - pyskl - INFO - Epoch [29][200/2353] lr: 2.290e-02, eta: 1 day, 10:20:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9725, loss_cls: 3.1147, loss: 3.1147 +2025-06-03 05:40:14,610 - pyskl - INFO - Epoch [29][300/2353] lr: 2.289e-02, eta: 1 day, 10:19:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9706, loss_cls: 3.1589, loss: 3.1589 +2025-06-03 05:40:57,657 - pyskl - INFO - Epoch [29][400/2353] lr: 2.289e-02, eta: 1 day, 10:19:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9706, loss_cls: 3.2025, loss: 3.2025 +2025-06-03 05:41:40,753 - pyskl - INFO - Epoch [29][500/2353] lr: 2.288e-02, eta: 1 day, 10:18:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9712, loss_cls: 3.2076, loss: 3.2076 +2025-06-03 05:42:23,824 - pyskl - INFO - Epoch [29][600/2353] lr: 2.287e-02, eta: 1 day, 10:17:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9762, loss_cls: 3.2178, loss: 3.2178 +2025-06-03 05:43:06,931 - pyskl - INFO - Epoch [29][700/2353] lr: 2.287e-02, eta: 1 day, 10:16:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9750, loss_cls: 3.2246, loss: 3.2246 +2025-06-03 05:43:50,098 - pyskl - INFO - Epoch [29][800/2353] lr: 2.286e-02, eta: 1 day, 10:16:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9700, loss_cls: 3.1827, loss: 3.1827 +2025-06-03 05:44:33,235 - pyskl - INFO - Epoch [29][900/2353] lr: 2.286e-02, eta: 1 day, 10:15:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9738, loss_cls: 3.1903, loss: 3.1903 +2025-06-03 05:45:16,376 - pyskl - INFO - Epoch [29][1000/2353] lr: 2.285e-02, eta: 1 day, 10:14:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9744, loss_cls: 3.1730, loss: 3.1730 +2025-06-03 05:45:59,519 - pyskl - INFO - Epoch [29][1100/2353] lr: 2.284e-02, eta: 1 day, 10:13:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9706, loss_cls: 3.2231, loss: 3.2231 +2025-06-03 05:46:42,579 - pyskl - INFO - Epoch [29][1200/2353] lr: 2.284e-02, eta: 1 day, 10:13:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9788, loss_cls: 3.1536, loss: 3.1536 +2025-06-03 05:47:25,643 - pyskl - INFO - Epoch [29][1300/2353] lr: 2.283e-02, eta: 1 day, 10:12:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9656, loss_cls: 3.3028, loss: 3.3028 +2025-06-03 05:48:08,716 - pyskl - INFO - Epoch [29][1400/2353] lr: 2.282e-02, eta: 1 day, 10:11:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9675, loss_cls: 3.2553, loss: 3.2553 +2025-06-03 05:48:51,839 - pyskl - INFO - Epoch [29][1500/2353] lr: 2.282e-02, eta: 1 day, 10:11:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9694, loss_cls: 3.2224, loss: 3.2224 +2025-06-03 05:49:34,943 - pyskl - INFO - Epoch [29][1600/2353] lr: 2.281e-02, eta: 1 day, 10:10:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9656, loss_cls: 3.2633, loss: 3.2633 +2025-06-03 05:50:18,040 - pyskl - INFO - Epoch [29][1700/2353] lr: 2.281e-02, eta: 1 day, 10:09:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9712, loss_cls: 3.2270, loss: 3.2270 +2025-06-03 05:51:01,209 - pyskl - INFO - Epoch [29][1800/2353] lr: 2.280e-02, eta: 1 day, 10:08:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9762, loss_cls: 3.2547, loss: 3.2547 +2025-06-03 05:51:44,450 - pyskl - INFO - Epoch [29][1900/2353] lr: 2.279e-02, eta: 1 day, 10:08:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8044, top5_acc: 0.9706, loss_cls: 3.2720, loss: 3.2720 +2025-06-03 05:52:27,727 - pyskl - INFO - Epoch [29][2000/2353] lr: 2.279e-02, eta: 1 day, 10:07:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8075, top5_acc: 0.9681, loss_cls: 3.2947, loss: 3.2947 +2025-06-03 05:53:10,815 - pyskl - INFO - Epoch [29][2100/2353] lr: 2.278e-02, eta: 1 day, 10:06:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8056, top5_acc: 0.9594, loss_cls: 3.2685, loss: 3.2685 +2025-06-03 05:53:53,884 - pyskl - INFO - Epoch [29][2200/2353] lr: 2.277e-02, eta: 1 day, 10:06:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9719, loss_cls: 3.2873, loss: 3.2873 +2025-06-03 05:54:36,881 - pyskl - INFO - Epoch [29][2300/2353] lr: 2.277e-02, eta: 1 day, 10:05:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9825, loss_cls: 3.1780, loss: 3.1780 +2025-06-03 05:55:00,319 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-06-03 05:56:25,246 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 05:56:25,321 - pyskl - INFO - +top1_acc 0.8188 +top5_acc 0.9622 +2025-06-03 05:56:25,324 - pyskl - INFO - Epoch(val) [29][1184] top1_acc: 0.8188, top5_acc: 0.9622 +2025-06-03 05:57:28,913 - pyskl - INFO - Epoch [30][100/2353] lr: 2.276e-02, eta: 1 day, 10:04:07, time: 0.636, data_time: 0.201, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9756, loss_cls: 3.0740, loss: 3.0740 +2025-06-03 05:58:12,294 - pyskl - INFO - Epoch [30][200/2353] lr: 2.275e-02, eta: 1 day, 10:03:25, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9694, loss_cls: 3.2512, loss: 3.2512 +2025-06-03 05:58:55,539 - pyskl - INFO - Epoch [30][300/2353] lr: 2.275e-02, eta: 1 day, 10:02:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9812, loss_cls: 3.0827, loss: 3.0827 +2025-06-03 05:59:38,775 - pyskl - INFO - Epoch [30][400/2353] lr: 2.274e-02, eta: 1 day, 10:02:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9650, loss_cls: 3.3278, loss: 3.3278 +2025-06-03 06:00:21,900 - pyskl - INFO - Epoch [30][500/2353] lr: 2.273e-02, eta: 1 day, 10:01:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9675, loss_cls: 3.0374, loss: 3.0374 +2025-06-03 06:01:05,011 - pyskl - INFO - Epoch [30][600/2353] lr: 2.273e-02, eta: 1 day, 10:00:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9613, loss_cls: 3.1751, loss: 3.1751 +2025-06-03 06:01:48,201 - pyskl - INFO - Epoch [30][700/2353] lr: 2.272e-02, eta: 1 day, 9:59:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9650, loss_cls: 3.2414, loss: 3.2414 +2025-06-03 06:02:31,301 - pyskl - INFO - Epoch [30][800/2353] lr: 2.271e-02, eta: 1 day, 9:59:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9725, loss_cls: 3.2053, loss: 3.2053 +2025-06-03 06:03:14,506 - pyskl - INFO - Epoch [30][900/2353] lr: 2.271e-02, eta: 1 day, 9:58:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9700, loss_cls: 3.2323, loss: 3.2323 +2025-06-03 06:03:57,701 - pyskl - INFO - Epoch [30][1000/2353] lr: 2.270e-02, eta: 1 day, 9:57:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9656, loss_cls: 3.2841, loss: 3.2841 +2025-06-03 06:04:40,963 - pyskl - INFO - Epoch [30][1100/2353] lr: 2.269e-02, eta: 1 day, 9:57:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9731, loss_cls: 3.1445, loss: 3.1445 +2025-06-03 06:05:24,160 - pyskl - INFO - Epoch [30][1200/2353] lr: 2.269e-02, eta: 1 day, 9:56:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9719, loss_cls: 3.1432, loss: 3.1432 +2025-06-03 06:06:07,306 - pyskl - INFO - Epoch [30][1300/2353] lr: 2.268e-02, eta: 1 day, 9:55:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9750, loss_cls: 3.1530, loss: 3.1530 +2025-06-03 06:06:50,410 - pyskl - INFO - Epoch [30][1400/2353] lr: 2.267e-02, eta: 1 day, 9:54:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9731, loss_cls: 3.1191, loss: 3.1191 +2025-06-03 06:07:33,564 - pyskl - INFO - Epoch [30][1500/2353] lr: 2.267e-02, eta: 1 day, 9:54:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9681, loss_cls: 3.1301, loss: 3.1301 +2025-06-03 06:08:16,723 - pyskl - INFO - Epoch [30][1600/2353] lr: 2.266e-02, eta: 1 day, 9:53:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9756, loss_cls: 3.1779, loss: 3.1779 +2025-06-03 06:08:59,942 - pyskl - INFO - Epoch [30][1700/2353] lr: 2.266e-02, eta: 1 day, 9:52:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 3.1092, loss: 3.1092 +2025-06-03 06:09:43,155 - pyskl - INFO - Epoch [30][1800/2353] lr: 2.265e-02, eta: 1 day, 9:52:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9750, loss_cls: 3.2067, loss: 3.2067 +2025-06-03 06:10:26,449 - pyskl - INFO - Epoch [30][1900/2353] lr: 2.264e-02, eta: 1 day, 9:51:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9688, loss_cls: 3.2057, loss: 3.2057 +2025-06-03 06:11:09,711 - pyskl - INFO - Epoch [30][2000/2353] lr: 2.264e-02, eta: 1 day, 9:50:37, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9762, loss_cls: 3.1069, loss: 3.1069 +2025-06-03 06:11:52,923 - pyskl - INFO - Epoch [30][2100/2353] lr: 2.263e-02, eta: 1 day, 9:49:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9750, loss_cls: 3.2085, loss: 3.2085 +2025-06-03 06:12:36,033 - pyskl - INFO - Epoch [30][2200/2353] lr: 2.262e-02, eta: 1 day, 9:49:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9694, loss_cls: 3.2898, loss: 3.2898 +2025-06-03 06:13:19,055 - pyskl - INFO - Epoch [30][2300/2353] lr: 2.262e-02, eta: 1 day, 9:48:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9644, loss_cls: 3.1584, loss: 3.1584 +2025-06-03 06:13:42,431 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-06-03 06:22:57,273 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:22:57,349 - pyskl - INFO - +top1_acc 0.8463 +top5_acc 0.9860 +2025-06-03 06:22:57,352 - pyskl - INFO - Epoch(val) [30][1184] top1_acc: 0.8463, top5_acc: 0.9860 +2025-06-03 06:24:00,598 - pyskl - INFO - Epoch [31][100/2353] lr: 2.261e-02, eta: 1 day, 9:47:11, time: 0.632, data_time: 0.200, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9725, loss_cls: 3.1285, loss: 3.1285 +2025-06-03 06:24:43,963 - pyskl - INFO - Epoch [31][200/2353] lr: 2.260e-02, eta: 1 day, 9:46:29, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9681, loss_cls: 3.1297, loss: 3.1297 +2025-06-03 06:25:27,344 - pyskl - INFO - Epoch [31][300/2353] lr: 2.259e-02, eta: 1 day, 9:45:47, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9781, loss_cls: 3.0092, loss: 3.0092 +2025-06-03 06:26:10,480 - pyskl - INFO - Epoch [31][400/2353] lr: 2.259e-02, eta: 1 day, 9:45:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9750, loss_cls: 3.1228, loss: 3.1228 +2025-06-03 06:26:53,428 - pyskl - INFO - Epoch [31][500/2353] lr: 2.258e-02, eta: 1 day, 9:44:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9719, loss_cls: 3.1418, loss: 3.1418 +2025-06-03 06:27:36,648 - pyskl - INFO - Epoch [31][600/2353] lr: 2.257e-02, eta: 1 day, 9:43:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9681, loss_cls: 3.2076, loss: 3.2076 +2025-06-03 06:28:19,756 - pyskl - INFO - Epoch [31][700/2353] lr: 2.257e-02, eta: 1 day, 9:42:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9744, loss_cls: 3.0068, loss: 3.0068 +2025-06-03 06:29:02,899 - pyskl - INFO - Epoch [31][800/2353] lr: 2.256e-02, eta: 1 day, 9:42:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9750, loss_cls: 3.0657, loss: 3.0657 +2025-06-03 06:29:46,093 - pyskl - INFO - Epoch [31][900/2353] lr: 2.255e-02, eta: 1 day, 9:41:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9700, loss_cls: 3.1370, loss: 3.1370 +2025-06-03 06:30:29,264 - pyskl - INFO - Epoch [31][1000/2353] lr: 2.255e-02, eta: 1 day, 9:40:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9844, loss_cls: 3.1248, loss: 3.1248 +2025-06-03 06:31:12,607 - pyskl - INFO - Epoch [31][1100/2353] lr: 2.254e-02, eta: 1 day, 9:40:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9738, loss_cls: 3.1700, loss: 3.1700 +2025-06-03 06:31:55,843 - pyskl - INFO - Epoch [31][1200/2353] lr: 2.253e-02, eta: 1 day, 9:39:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9663, loss_cls: 3.2697, loss: 3.2697 +2025-06-03 06:32:38,964 - pyskl - INFO - Epoch [31][1300/2353] lr: 2.253e-02, eta: 1 day, 9:38:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8031, top5_acc: 0.9781, loss_cls: 3.1914, loss: 3.1914 +2025-06-03 06:33:22,098 - pyskl - INFO - Epoch [31][1400/2353] lr: 2.252e-02, eta: 1 day, 9:37:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8013, top5_acc: 0.9663, loss_cls: 3.2517, loss: 3.2517 +2025-06-03 06:34:05,251 - pyskl - INFO - Epoch [31][1500/2353] lr: 2.251e-02, eta: 1 day, 9:37:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9788, loss_cls: 3.0957, loss: 3.0957 +2025-06-03 06:34:48,320 - pyskl - INFO - Epoch [31][1600/2353] lr: 2.251e-02, eta: 1 day, 9:36:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9694, loss_cls: 3.1832, loss: 3.1832 +2025-06-03 06:35:31,509 - pyskl - INFO - Epoch [31][1700/2353] lr: 2.250e-02, eta: 1 day, 9:35:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9656, loss_cls: 3.2333, loss: 3.2333 +2025-06-03 06:36:14,638 - pyskl - INFO - Epoch [31][1800/2353] lr: 2.249e-02, eta: 1 day, 9:35:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9769, loss_cls: 3.1792, loss: 3.1792 +2025-06-03 06:36:57,680 - pyskl - INFO - Epoch [31][1900/2353] lr: 2.249e-02, eta: 1 day, 9:34:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9725, loss_cls: 3.2333, loss: 3.2333 +2025-06-03 06:37:41,019 - pyskl - INFO - Epoch [31][2000/2353] lr: 2.248e-02, eta: 1 day, 9:33:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9750, loss_cls: 3.0950, loss: 3.0950 +2025-06-03 06:38:24,323 - pyskl - INFO - Epoch [31][2100/2353] lr: 2.247e-02, eta: 1 day, 9:32:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9656, loss_cls: 3.1698, loss: 3.1698 +2025-06-03 06:39:07,588 - pyskl - INFO - Epoch [31][2200/2353] lr: 2.247e-02, eta: 1 day, 9:32:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9719, loss_cls: 3.0653, loss: 3.0653 +2025-06-03 06:39:50,847 - pyskl - INFO - Epoch [31][2300/2353] lr: 2.246e-02, eta: 1 day, 9:31:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9613, loss_cls: 3.2745, loss: 3.2745 +2025-06-03 06:40:14,421 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-06-03 06:41:39,498 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 06:41:39,574 - pyskl - INFO - +top1_acc 0.8516 +top5_acc 0.9859 +2025-06-03 06:41:39,577 - pyskl - INFO - Epoch(val) [31][1184] top1_acc: 0.8516, top5_acc: 0.9859 +2025-06-03 06:42:43,515 - pyskl - INFO - Epoch [32][100/2353] lr: 2.245e-02, eta: 1 day, 9:30:18, time: 0.639, data_time: 0.205, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9712, loss_cls: 3.1546, loss: 3.1546 +2025-06-03 06:43:26,846 - pyskl - INFO - Epoch [32][200/2353] lr: 2.244e-02, eta: 1 day, 9:29:36, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9800, loss_cls: 3.0892, loss: 3.0892 +2025-06-03 06:44:10,195 - pyskl - INFO - Epoch [32][300/2353] lr: 2.244e-02, eta: 1 day, 9:28:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9762, loss_cls: 3.0445, loss: 3.0445 +2025-06-03 06:44:53,431 - pyskl - INFO - Epoch [32][400/2353] lr: 2.243e-02, eta: 1 day, 9:28:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9712, loss_cls: 3.2149, loss: 3.2149 +2025-06-03 06:45:36,549 - pyskl - INFO - Epoch [32][500/2353] lr: 2.242e-02, eta: 1 day, 9:27:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9700, loss_cls: 3.2000, loss: 3.2000 +2025-06-03 06:46:19,851 - pyskl - INFO - Epoch [32][600/2353] lr: 2.242e-02, eta: 1 day, 9:26:46, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8094, top5_acc: 0.9675, loss_cls: 3.2057, loss: 3.2057 +2025-06-03 06:47:03,237 - pyskl - INFO - Epoch [32][700/2353] lr: 2.241e-02, eta: 1 day, 9:26:04, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9738, loss_cls: 3.1231, loss: 3.1231 +2025-06-03 06:47:46,662 - pyskl - INFO - Epoch [32][800/2353] lr: 2.240e-02, eta: 1 day, 9:25:22, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8187, top5_acc: 0.9712, loss_cls: 3.1905, loss: 3.1905 +2025-06-03 06:48:29,868 - pyskl - INFO - Epoch [32][900/2353] lr: 2.240e-02, eta: 1 day, 9:24:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9731, loss_cls: 3.1441, loss: 3.1441 +2025-06-03 06:49:13,238 - pyskl - INFO - Epoch [32][1000/2353] lr: 2.239e-02, eta: 1 day, 9:23:57, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9719, loss_cls: 3.1461, loss: 3.1461 +2025-06-03 06:49:56,456 - pyskl - INFO - Epoch [32][1100/2353] lr: 2.238e-02, eta: 1 day, 9:23:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9762, loss_cls: 3.1140, loss: 3.1140 +2025-06-03 06:50:39,540 - pyskl - INFO - Epoch [32][1200/2353] lr: 2.238e-02, eta: 1 day, 9:22:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9738, loss_cls: 3.1604, loss: 3.1604 +2025-06-03 06:51:22,750 - pyskl - INFO - Epoch [32][1300/2353] lr: 2.237e-02, eta: 1 day, 9:21:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9788, loss_cls: 3.1829, loss: 3.1829 +2025-06-03 06:52:05,990 - pyskl - INFO - Epoch [32][1400/2353] lr: 2.236e-02, eta: 1 day, 9:21:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9719, loss_cls: 3.1969, loss: 3.1969 +2025-06-03 06:52:49,107 - pyskl - INFO - Epoch [32][1500/2353] lr: 2.235e-02, eta: 1 day, 9:20:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8006, top5_acc: 0.9663, loss_cls: 3.2223, loss: 3.2223 +2025-06-03 06:53:32,296 - pyskl - INFO - Epoch [32][1600/2353] lr: 2.235e-02, eta: 1 day, 9:19:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9675, loss_cls: 3.1266, loss: 3.1266 +2025-06-03 06:54:15,351 - pyskl - INFO - Epoch [32][1700/2353] lr: 2.234e-02, eta: 1 day, 9:18:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8081, top5_acc: 0.9625, loss_cls: 3.2090, loss: 3.2090 +2025-06-03 06:54:58,463 - pyskl - INFO - Epoch [32][1800/2353] lr: 2.233e-02, eta: 1 day, 9:18:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9719, loss_cls: 3.1694, loss: 3.1694 +2025-06-03 06:55:41,607 - pyskl - INFO - Epoch [32][1900/2353] lr: 2.233e-02, eta: 1 day, 9:17:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9788, loss_cls: 3.0982, loss: 3.0982 +2025-06-03 06:56:24,771 - pyskl - INFO - Epoch [32][2000/2353] lr: 2.232e-02, eta: 1 day, 9:16:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9681, loss_cls: 3.2297, loss: 3.2297 +2025-06-03 06:57:08,102 - pyskl - INFO - Epoch [32][2100/2353] lr: 2.231e-02, eta: 1 day, 9:16:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9719, loss_cls: 3.1839, loss: 3.1839 +2025-06-03 06:57:51,417 - pyskl - INFO - Epoch [32][2200/2353] lr: 2.231e-02, eta: 1 day, 9:15:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9700, loss_cls: 3.2450, loss: 3.2450 +2025-06-03 06:58:34,666 - pyskl - INFO - Epoch [32][2300/2353] lr: 2.230e-02, eta: 1 day, 9:14:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9681, loss_cls: 3.1338, loss: 3.1338 +2025-06-03 06:58:58,142 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-06-03 07:00:22,885 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:00:22,960 - pyskl - INFO - +top1_acc 0.8660 +top5_acc 0.9883 +2025-06-03 07:00:22,964 - pyskl - INFO - Epoch(val) [32][1184] top1_acc: 0.8660, top5_acc: 0.9883 +2025-06-03 07:01:26,318 - pyskl - INFO - Epoch [33][100/2353] lr: 2.229e-02, eta: 1 day, 9:13:26, time: 0.634, data_time: 0.201, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9738, loss_cls: 3.1296, loss: 3.1296 +2025-06-03 07:02:09,513 - pyskl - INFO - Epoch [33][200/2353] lr: 2.228e-02, eta: 1 day, 9:12:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9788, loss_cls: 3.0659, loss: 3.0659 +2025-06-03 07:02:52,682 - pyskl - INFO - Epoch [33][300/2353] lr: 2.228e-02, eta: 1 day, 9:12:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9719, loss_cls: 3.2205, loss: 3.2205 +2025-06-03 07:03:35,859 - pyskl - INFO - Epoch [33][400/2353] lr: 2.227e-02, eta: 1 day, 9:11:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9731, loss_cls: 3.0144, loss: 3.0144 +2025-06-03 07:04:18,996 - pyskl - INFO - Epoch [33][500/2353] lr: 2.226e-02, eta: 1 day, 9:10:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8169, top5_acc: 0.9725, loss_cls: 3.1613, loss: 3.1613 +2025-06-03 07:05:02,160 - pyskl - INFO - Epoch [33][600/2353] lr: 2.225e-02, eta: 1 day, 9:09:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 3.0760, loss: 3.0760 +2025-06-03 07:05:45,312 - pyskl - INFO - Epoch [33][700/2353] lr: 2.225e-02, eta: 1 day, 9:09:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9844, loss_cls: 3.0400, loss: 3.0400 +2025-06-03 07:06:28,431 - pyskl - INFO - Epoch [33][800/2353] lr: 2.224e-02, eta: 1 day, 9:08:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9756, loss_cls: 3.0901, loss: 3.0901 +2025-06-03 07:07:11,685 - pyskl - INFO - Epoch [33][900/2353] lr: 2.223e-02, eta: 1 day, 9:07:43, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8087, top5_acc: 0.9681, loss_cls: 3.2967, loss: 3.2967 +2025-06-03 07:07:54,795 - pyskl - INFO - Epoch [33][1000/2353] lr: 2.223e-02, eta: 1 day, 9:07:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9744, loss_cls: 3.0644, loss: 3.0644 +2025-06-03 07:08:37,999 - pyskl - INFO - Epoch [33][1100/2353] lr: 2.222e-02, eta: 1 day, 9:06:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9744, loss_cls: 3.0770, loss: 3.0770 +2025-06-03 07:09:21,226 - pyskl - INFO - Epoch [33][1200/2353] lr: 2.221e-02, eta: 1 day, 9:05:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9788, loss_cls: 3.0116, loss: 3.0116 +2025-06-03 07:10:04,382 - pyskl - INFO - Epoch [33][1300/2353] lr: 2.221e-02, eta: 1 day, 9:04:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9681, loss_cls: 3.1690, loss: 3.1690 +2025-06-03 07:10:47,559 - pyskl - INFO - Epoch [33][1400/2353] lr: 2.220e-02, eta: 1 day, 9:04:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9725, loss_cls: 3.1477, loss: 3.1477 +2025-06-03 07:11:30,705 - pyskl - INFO - Epoch [33][1500/2353] lr: 2.219e-02, eta: 1 day, 9:03:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8119, top5_acc: 0.9669, loss_cls: 3.2340, loss: 3.2340 +2025-06-03 07:12:13,880 - pyskl - INFO - Epoch [33][1600/2353] lr: 2.218e-02, eta: 1 day, 9:02:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9794, loss_cls: 3.0526, loss: 3.0526 +2025-06-03 07:12:57,062 - pyskl - INFO - Epoch [33][1700/2353] lr: 2.218e-02, eta: 1 day, 9:02:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8125, top5_acc: 0.9663, loss_cls: 3.2617, loss: 3.2617 +2025-06-03 07:13:40,230 - pyskl - INFO - Epoch [33][1800/2353] lr: 2.217e-02, eta: 1 day, 9:01:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9738, loss_cls: 3.1777, loss: 3.1777 +2025-06-03 07:14:23,365 - pyskl - INFO - Epoch [33][1900/2353] lr: 2.216e-02, eta: 1 day, 9:00:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9675, loss_cls: 3.0969, loss: 3.0969 +2025-06-03 07:15:06,515 - pyskl - INFO - Epoch [33][2000/2353] lr: 2.216e-02, eta: 1 day, 8:59:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9744, loss_cls: 3.1334, loss: 3.1334 +2025-06-03 07:15:49,677 - pyskl - INFO - Epoch [33][2100/2353] lr: 2.215e-02, eta: 1 day, 8:59:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8025, top5_acc: 0.9738, loss_cls: 3.2235, loss: 3.2235 +2025-06-03 07:16:32,824 - pyskl - INFO - Epoch [33][2200/2353] lr: 2.214e-02, eta: 1 day, 8:58:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9663, loss_cls: 3.0875, loss: 3.0875 +2025-06-03 07:17:16,080 - pyskl - INFO - Epoch [33][2300/2353] lr: 2.214e-02, eta: 1 day, 8:57:44, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9719, loss_cls: 3.1488, loss: 3.1488 +2025-06-03 07:17:39,570 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-06-03 07:19:04,410 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:19:04,486 - pyskl - INFO - +top1_acc 0.8446 +top5_acc 0.9848 +2025-06-03 07:19:04,489 - pyskl - INFO - Epoch(val) [33][1184] top1_acc: 0.8446, top5_acc: 0.9848 +2025-06-03 07:20:08,139 - pyskl - INFO - Epoch [34][100/2353] lr: 2.212e-02, eta: 1 day, 8:56:30, time: 0.636, data_time: 0.204, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9738, loss_cls: 3.0646, loss: 3.0646 +2025-06-03 07:20:51,311 - pyskl - INFO - Epoch [34][200/2353] lr: 2.212e-02, eta: 1 day, 8:55:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9719, loss_cls: 3.0291, loss: 3.0291 +2025-06-03 07:21:34,467 - pyskl - INFO - Epoch [34][300/2353] lr: 2.211e-02, eta: 1 day, 8:55:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 3.0838, loss: 3.0838 +2025-06-03 07:22:17,731 - pyskl - INFO - Epoch [34][400/2353] lr: 2.210e-02, eta: 1 day, 8:54:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9769, loss_cls: 3.1014, loss: 3.1014 +2025-06-03 07:23:01,065 - pyskl - INFO - Epoch [34][500/2353] lr: 2.210e-02, eta: 1 day, 8:53:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9688, loss_cls: 3.1033, loss: 3.1033 +2025-06-03 07:23:44,324 - pyskl - INFO - Epoch [34][600/2353] lr: 2.209e-02, eta: 1 day, 8:52:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9788, loss_cls: 3.2184, loss: 3.2184 +2025-06-03 07:24:27,563 - pyskl - INFO - Epoch [34][700/2353] lr: 2.208e-02, eta: 1 day, 8:52:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9706, loss_cls: 3.0260, loss: 3.0260 +2025-06-03 07:25:10,788 - pyskl - INFO - Epoch [34][800/2353] lr: 2.207e-02, eta: 1 day, 8:51:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9794, loss_cls: 2.9922, loss: 2.9922 +2025-06-03 07:25:53,943 - pyskl - INFO - Epoch [34][900/2353] lr: 2.207e-02, eta: 1 day, 8:50:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9781, loss_cls: 3.0871, loss: 3.0871 +2025-06-03 07:26:37,143 - pyskl - INFO - Epoch [34][1000/2353] lr: 2.206e-02, eta: 1 day, 8:50:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8000, top5_acc: 0.9656, loss_cls: 3.2947, loss: 3.2947 +2025-06-03 07:27:20,396 - pyskl - INFO - Epoch [34][1100/2353] lr: 2.205e-02, eta: 1 day, 8:49:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9769, loss_cls: 3.3137, loss: 3.3137 +2025-06-03 07:28:03,580 - pyskl - INFO - Epoch [34][1200/2353] lr: 2.205e-02, eta: 1 day, 8:48:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9694, loss_cls: 3.1621, loss: 3.1621 +2025-06-03 07:28:46,789 - pyskl - INFO - Epoch [34][1300/2353] lr: 2.204e-02, eta: 1 day, 8:47:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9738, loss_cls: 3.1651, loss: 3.1651 +2025-06-03 07:29:30,042 - pyskl - INFO - Epoch [34][1400/2353] lr: 2.203e-02, eta: 1 day, 8:47:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9806, loss_cls: 3.1098, loss: 3.1098 +2025-06-03 07:30:13,227 - pyskl - INFO - Epoch [34][1500/2353] lr: 2.202e-02, eta: 1 day, 8:46:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9731, loss_cls: 3.0845, loss: 3.0845 +2025-06-03 07:30:56,419 - pyskl - INFO - Epoch [34][1600/2353] lr: 2.202e-02, eta: 1 day, 8:45:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9744, loss_cls: 3.0211, loss: 3.0211 +2025-06-03 07:31:39,530 - pyskl - INFO - Epoch [34][1700/2353] lr: 2.201e-02, eta: 1 day, 8:45:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9744, loss_cls: 3.0653, loss: 3.0653 +2025-06-03 07:32:22,674 - pyskl - INFO - Epoch [34][1800/2353] lr: 2.200e-02, eta: 1 day, 8:44:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9663, loss_cls: 3.0821, loss: 3.0821 +2025-06-03 07:33:05,809 - pyskl - INFO - Epoch [34][1900/2353] lr: 2.200e-02, eta: 1 day, 8:43:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9712, loss_cls: 3.0183, loss: 3.0183 +2025-06-03 07:33:49,005 - pyskl - INFO - Epoch [34][2000/2353] lr: 2.199e-02, eta: 1 day, 8:42:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8263, top5_acc: 0.9706, loss_cls: 3.1603, loss: 3.1603 +2025-06-03 07:34:32,256 - pyskl - INFO - Epoch [34][2100/2353] lr: 2.198e-02, eta: 1 day, 8:42:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9675, loss_cls: 3.1313, loss: 3.1313 +2025-06-03 07:35:15,585 - pyskl - INFO - Epoch [34][2200/2353] lr: 2.197e-02, eta: 1 day, 8:41:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9712, loss_cls: 3.0564, loss: 3.0564 +2025-06-03 07:35:58,763 - pyskl - INFO - Epoch [34][2300/2353] lr: 2.197e-02, eta: 1 day, 8:40:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9794, loss_cls: 3.0572, loss: 3.0572 +2025-06-03 07:36:22,192 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-06-03 07:37:47,028 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 07:37:47,103 - pyskl - INFO - +top1_acc 0.8562 +top5_acc 0.9844 +2025-06-03 07:37:47,106 - pyskl - INFO - Epoch(val) [34][1184] top1_acc: 0.8562, top5_acc: 0.9844 +2025-06-03 07:38:50,494 - pyskl - INFO - Epoch [35][100/2353] lr: 2.196e-02, eta: 1 day, 8:39:36, time: 0.634, data_time: 0.202, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9800, loss_cls: 3.0946, loss: 3.0946 +2025-06-03 07:39:33,643 - pyskl - INFO - Epoch [35][200/2353] lr: 2.195e-02, eta: 1 day, 8:38:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9738, loss_cls: 3.0261, loss: 3.0261 +2025-06-03 07:40:16,869 - pyskl - INFO - Epoch [35][300/2353] lr: 2.194e-02, eta: 1 day, 8:38:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9694, loss_cls: 2.9624, loss: 2.9624 +2025-06-03 07:40:59,897 - pyskl - INFO - Epoch [35][400/2353] lr: 2.193e-02, eta: 1 day, 8:37:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9781, loss_cls: 3.1092, loss: 3.1092 +2025-06-03 07:41:42,947 - pyskl - INFO - Epoch [35][500/2353] lr: 2.193e-02, eta: 1 day, 8:36:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9812, loss_cls: 3.1021, loss: 3.1021 +2025-06-03 07:42:26,056 - pyskl - INFO - Epoch [35][600/2353] lr: 2.192e-02, eta: 1 day, 8:36:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9719, loss_cls: 3.1019, loss: 3.1019 +2025-06-03 07:43:09,196 - pyskl - INFO - Epoch [35][700/2353] lr: 2.191e-02, eta: 1 day, 8:35:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9756, loss_cls: 3.0789, loss: 3.0789 +2025-06-03 07:43:52,361 - pyskl - INFO - Epoch [35][800/2353] lr: 2.190e-02, eta: 1 day, 8:34:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9819, loss_cls: 3.0411, loss: 3.0411 +2025-06-03 07:44:35,470 - pyskl - INFO - Epoch [35][900/2353] lr: 2.190e-02, eta: 1 day, 8:33:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9719, loss_cls: 3.0359, loss: 3.0359 +2025-06-03 07:45:18,667 - pyskl - INFO - Epoch [35][1000/2353] lr: 2.189e-02, eta: 1 day, 8:33:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9750, loss_cls: 3.0571, loss: 3.0571 +2025-06-03 07:46:01,883 - pyskl - INFO - Epoch [35][1100/2353] lr: 2.188e-02, eta: 1 day, 8:32:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9725, loss_cls: 3.0408, loss: 3.0408 +2025-06-03 07:46:45,070 - pyskl - INFO - Epoch [35][1200/2353] lr: 2.187e-02, eta: 1 day, 8:31:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8113, top5_acc: 0.9688, loss_cls: 3.2346, loss: 3.2346 +2025-06-03 07:47:28,092 - pyskl - INFO - Epoch [35][1300/2353] lr: 2.187e-02, eta: 1 day, 8:31:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9762, loss_cls: 3.0614, loss: 3.0614 +2025-06-03 07:48:11,175 - pyskl - INFO - Epoch [35][1400/2353] lr: 2.186e-02, eta: 1 day, 8:30:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9781, loss_cls: 3.0943, loss: 3.0943 +2025-06-03 07:48:54,249 - pyskl - INFO - Epoch [35][1500/2353] lr: 2.185e-02, eta: 1 day, 8:29:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9769, loss_cls: 2.9901, loss: 2.9901 +2025-06-03 07:49:37,390 - pyskl - INFO - Epoch [35][1600/2353] lr: 2.185e-02, eta: 1 day, 8:28:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9756, loss_cls: 3.0843, loss: 3.0843 +2025-06-03 07:50:20,584 - pyskl - INFO - Epoch [35][1700/2353] lr: 2.184e-02, eta: 1 day, 8:28:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9750, loss_cls: 3.1410, loss: 3.1410 +2025-06-03 07:51:03,747 - pyskl - INFO - Epoch [35][1800/2353] lr: 2.183e-02, eta: 1 day, 8:27:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8137, top5_acc: 0.9725, loss_cls: 3.1572, loss: 3.1572 +2025-06-03 07:51:46,779 - pyskl - INFO - Epoch [35][1900/2353] lr: 2.182e-02, eta: 1 day, 8:26:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9681, loss_cls: 3.0493, loss: 3.0493 +2025-06-03 07:52:30,009 - pyskl - INFO - Epoch [35][2000/2353] lr: 2.182e-02, eta: 1 day, 8:26:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9762, loss_cls: 3.0944, loss: 3.0944 +2025-06-03 07:53:13,207 - pyskl - INFO - Epoch [35][2100/2353] lr: 2.181e-02, eta: 1 day, 8:25:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8163, top5_acc: 0.9712, loss_cls: 3.2406, loss: 3.2406 +2025-06-03 07:53:56,390 - pyskl - INFO - Epoch [35][2200/2353] lr: 2.180e-02, eta: 1 day, 8:24:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9731, loss_cls: 3.1448, loss: 3.1448 +2025-06-03 07:54:39,611 - pyskl - INFO - Epoch [35][2300/2353] lr: 2.179e-02, eta: 1 day, 8:23:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9688, loss_cls: 3.1655, loss: 3.1655 +2025-06-03 07:55:03,087 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-06-03 08:03:48,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:03:48,522 - pyskl - INFO - +top1_acc 0.8362 +top5_acc 0.9844 +2025-06-03 08:03:48,525 - pyskl - INFO - Epoch(val) [35][1184] top1_acc: 0.8362, top5_acc: 0.9844 +2025-06-03 08:04:53,147 - pyskl - INFO - Epoch [36][100/2353] lr: 2.178e-02, eta: 1 day, 8:22:41, time: 0.646, data_time: 0.210, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9769, loss_cls: 3.0528, loss: 3.0528 +2025-06-03 08:05:36,563 - pyskl - INFO - Epoch [36][200/2353] lr: 2.177e-02, eta: 1 day, 8:21:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9769, loss_cls: 3.0543, loss: 3.0543 +2025-06-03 08:06:19,818 - pyskl - INFO - Epoch [36][300/2353] lr: 2.177e-02, eta: 1 day, 8:21:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9738, loss_cls: 3.1590, loss: 3.1590 +2025-06-03 08:07:02,988 - pyskl - INFO - Epoch [36][400/2353] lr: 2.176e-02, eta: 1 day, 8:20:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8106, top5_acc: 0.9756, loss_cls: 3.2710, loss: 3.2710 +2025-06-03 08:07:46,259 - pyskl - INFO - Epoch [36][500/2353] lr: 2.175e-02, eta: 1 day, 8:19:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9700, loss_cls: 3.0911, loss: 3.0911 +2025-06-03 08:08:29,627 - pyskl - INFO - Epoch [36][600/2353] lr: 2.174e-02, eta: 1 day, 8:19:09, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9744, loss_cls: 3.1606, loss: 3.1606 +2025-06-03 08:09:12,860 - pyskl - INFO - Epoch [36][700/2353] lr: 2.174e-02, eta: 1 day, 8:18:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9756, loss_cls: 3.1334, loss: 3.1334 +2025-06-03 08:09:56,111 - pyskl - INFO - Epoch [36][800/2353] lr: 2.173e-02, eta: 1 day, 8:17:44, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9762, loss_cls: 3.0841, loss: 3.0841 +2025-06-03 08:10:39,267 - pyskl - INFO - Epoch [36][900/2353] lr: 2.172e-02, eta: 1 day, 8:17:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9750, loss_cls: 3.0619, loss: 3.0619 +2025-06-03 08:11:22,492 - pyskl - INFO - Epoch [36][1000/2353] lr: 2.171e-02, eta: 1 day, 8:16:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9800, loss_cls: 3.0868, loss: 3.0868 +2025-06-03 08:12:05,679 - pyskl - INFO - Epoch [36][1100/2353] lr: 2.171e-02, eta: 1 day, 8:15:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9762, loss_cls: 3.0770, loss: 3.0770 +2025-06-03 08:12:48,840 - pyskl - INFO - Epoch [36][1200/2353] lr: 2.170e-02, eta: 1 day, 8:14:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9738, loss_cls: 3.0928, loss: 3.0928 +2025-06-03 08:13:32,028 - pyskl - INFO - Epoch [36][1300/2353] lr: 2.169e-02, eta: 1 day, 8:14:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9725, loss_cls: 3.0631, loss: 3.0631 +2025-06-03 08:14:15,359 - pyskl - INFO - Epoch [36][1400/2353] lr: 2.168e-02, eta: 1 day, 8:13:27, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9712, loss_cls: 2.9877, loss: 2.9877 +2025-06-03 08:14:58,516 - pyskl - INFO - Epoch [36][1500/2353] lr: 2.168e-02, eta: 1 day, 8:12:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9775, loss_cls: 3.0735, loss: 3.0735 +2025-06-03 08:15:41,660 - pyskl - INFO - Epoch [36][1600/2353] lr: 2.167e-02, eta: 1 day, 8:12:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9719, loss_cls: 3.2190, loss: 3.2190 +2025-06-03 08:16:24,792 - pyskl - INFO - Epoch [36][1700/2353] lr: 2.166e-02, eta: 1 day, 8:11:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9744, loss_cls: 2.9440, loss: 2.9440 +2025-06-03 08:17:07,963 - pyskl - INFO - Epoch [36][1800/2353] lr: 2.165e-02, eta: 1 day, 8:10:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9769, loss_cls: 3.0052, loss: 3.0052 +2025-06-03 08:17:51,132 - pyskl - INFO - Epoch [36][1900/2353] lr: 2.165e-02, eta: 1 day, 8:09:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9706, loss_cls: 3.1175, loss: 3.1175 +2025-06-03 08:18:34,607 - pyskl - INFO - Epoch [36][2000/2353] lr: 2.164e-02, eta: 1 day, 8:09:11, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9781, loss_cls: 3.0247, loss: 3.0247 +2025-06-03 08:19:17,916 - pyskl - INFO - Epoch [36][2100/2353] lr: 2.163e-02, eta: 1 day, 8:08:29, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8231, top5_acc: 0.9688, loss_cls: 3.0537, loss: 3.0537 +2025-06-03 08:20:01,159 - pyskl - INFO - Epoch [36][2200/2353] lr: 2.162e-02, eta: 1 day, 8:07:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9775, loss_cls: 3.0233, loss: 3.0233 +2025-06-03 08:20:44,400 - pyskl - INFO - Epoch [36][2300/2353] lr: 2.162e-02, eta: 1 day, 8:07:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9731, loss_cls: 3.1502, loss: 3.1502 +2025-06-03 08:21:07,764 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-06-03 08:22:32,908 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:22:32,983 - pyskl - INFO - +top1_acc 0.8178 +top5_acc 0.9783 +2025-06-03 08:22:32,986 - pyskl - INFO - Epoch(val) [36][1184] top1_acc: 0.8178, top5_acc: 0.9783 +2025-06-03 08:23:36,319 - pyskl - INFO - Epoch [37][100/2353] lr: 2.160e-02, eta: 1 day, 8:05:49, time: 0.633, data_time: 0.202, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9756, loss_cls: 3.0503, loss: 3.0503 +2025-06-03 08:24:19,455 - pyskl - INFO - Epoch [37][200/2353] lr: 2.160e-02, eta: 1 day, 8:05:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9788, loss_cls: 3.0427, loss: 3.0427 +2025-06-03 08:25:02,492 - pyskl - INFO - Epoch [37][300/2353] lr: 2.159e-02, eta: 1 day, 8:04:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9738, loss_cls: 3.1499, loss: 3.1499 +2025-06-03 08:25:45,586 - pyskl - INFO - Epoch [37][400/2353] lr: 2.158e-02, eta: 1 day, 8:03:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9762, loss_cls: 3.1005, loss: 3.1005 +2025-06-03 08:26:28,703 - pyskl - INFO - Epoch [37][500/2353] lr: 2.157e-02, eta: 1 day, 8:02:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9800, loss_cls: 3.0394, loss: 3.0394 +2025-06-03 08:27:11,739 - pyskl - INFO - Epoch [37][600/2353] lr: 2.157e-02, eta: 1 day, 8:02:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9650, loss_cls: 3.1359, loss: 3.1359 +2025-06-03 08:27:54,719 - pyskl - INFO - Epoch [37][700/2353] lr: 2.156e-02, eta: 1 day, 8:01:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9788, loss_cls: 3.0229, loss: 3.0229 +2025-06-03 08:28:37,757 - pyskl - INFO - Epoch [37][800/2353] lr: 2.155e-02, eta: 1 day, 8:00:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9700, loss_cls: 3.1884, loss: 3.1884 +2025-06-03 08:29:20,418 - pyskl - INFO - Epoch [37][900/2353] lr: 2.154e-02, eta: 1 day, 8:00:02, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9750, loss_cls: 3.1310, loss: 3.1310 +2025-06-03 08:30:03,284 - pyskl - INFO - Epoch [37][1000/2353] lr: 2.154e-02, eta: 1 day, 7:59:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9744, loss_cls: 3.0808, loss: 3.0808 +2025-06-03 08:30:46,265 - pyskl - INFO - Epoch [37][1100/2353] lr: 2.153e-02, eta: 1 day, 7:58:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9725, loss_cls: 3.1355, loss: 3.1355 +2025-06-03 08:31:29,496 - pyskl - INFO - Epoch [37][1200/2353] lr: 2.152e-02, eta: 1 day, 7:57:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9731, loss_cls: 3.0507, loss: 3.0507 +2025-06-03 08:32:12,513 - pyskl - INFO - Epoch [37][1300/2353] lr: 2.151e-02, eta: 1 day, 7:57:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9744, loss_cls: 3.0237, loss: 3.0237 +2025-06-03 08:32:55,502 - pyskl - INFO - Epoch [37][1400/2353] lr: 2.150e-02, eta: 1 day, 7:56:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9794, loss_cls: 3.0315, loss: 3.0315 +2025-06-03 08:33:38,555 - pyskl - INFO - Epoch [37][1500/2353] lr: 2.150e-02, eta: 1 day, 7:55:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8144, top5_acc: 0.9719, loss_cls: 3.0706, loss: 3.0706 +2025-06-03 08:34:21,842 - pyskl - INFO - Epoch [37][1600/2353] lr: 2.149e-02, eta: 1 day, 7:55:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9725, loss_cls: 3.1389, loss: 3.1389 +2025-06-03 08:35:04,893 - pyskl - INFO - Epoch [37][1700/2353] lr: 2.148e-02, eta: 1 day, 7:54:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9731, loss_cls: 3.0421, loss: 3.0421 +2025-06-03 08:35:47,884 - pyskl - INFO - Epoch [37][1800/2353] lr: 2.147e-02, eta: 1 day, 7:53:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9788, loss_cls: 2.9281, loss: 2.9281 +2025-06-03 08:36:30,824 - pyskl - INFO - Epoch [37][1900/2353] lr: 2.147e-02, eta: 1 day, 7:52:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9712, loss_cls: 3.0412, loss: 3.0412 +2025-06-03 08:37:13,903 - pyskl - INFO - Epoch [37][2000/2353] lr: 2.146e-02, eta: 1 day, 7:52:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9769, loss_cls: 3.0202, loss: 3.0202 +2025-06-03 08:37:57,015 - pyskl - INFO - Epoch [37][2100/2353] lr: 2.145e-02, eta: 1 day, 7:51:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9694, loss_cls: 3.1100, loss: 3.1100 +2025-06-03 08:38:40,174 - pyskl - INFO - Epoch [37][2200/2353] lr: 2.144e-02, eta: 1 day, 7:50:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9694, loss_cls: 3.1571, loss: 3.1571 +2025-06-03 08:39:23,343 - pyskl - INFO - Epoch [37][2300/2353] lr: 2.144e-02, eta: 1 day, 7:49:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9694, loss_cls: 3.1593, loss: 3.1593 +2025-06-03 08:39:46,782 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-06-03 08:41:12,002 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:41:12,077 - pyskl - INFO - +top1_acc 0.8080 +top5_acc 0.9777 +2025-06-03 08:41:12,080 - pyskl - INFO - Epoch(val) [37][1184] top1_acc: 0.8080, top5_acc: 0.9777 +2025-06-03 08:42:15,191 - pyskl - INFO - Epoch [38][100/2353] lr: 2.142e-02, eta: 1 day, 7:48:43, time: 0.631, data_time: 0.199, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9731, loss_cls: 3.0879, loss: 3.0879 +2025-06-03 08:42:58,383 - pyskl - INFO - Epoch [38][200/2353] lr: 2.142e-02, eta: 1 day, 7:48:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9819, loss_cls: 2.9769, loss: 2.9769 +2025-06-03 08:43:41,497 - pyskl - INFO - Epoch [38][300/2353] lr: 2.141e-02, eta: 1 day, 7:47:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9688, loss_cls: 3.0672, loss: 3.0672 +2025-06-03 08:44:24,651 - pyskl - INFO - Epoch [38][400/2353] lr: 2.140e-02, eta: 1 day, 7:46:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9769, loss_cls: 3.1282, loss: 3.1282 +2025-06-03 08:45:07,667 - pyskl - INFO - Epoch [38][500/2353] lr: 2.139e-02, eta: 1 day, 7:45:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9738, loss_cls: 3.0021, loss: 3.0021 +2025-06-03 08:45:50,712 - pyskl - INFO - Epoch [38][600/2353] lr: 2.138e-02, eta: 1 day, 7:45:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9700, loss_cls: 3.1548, loss: 3.1548 +2025-06-03 08:46:33,787 - pyskl - INFO - Epoch [38][700/2353] lr: 2.138e-02, eta: 1 day, 7:44:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9756, loss_cls: 3.1531, loss: 3.1531 +2025-06-03 08:47:16,990 - pyskl - INFO - Epoch [38][800/2353] lr: 2.137e-02, eta: 1 day, 7:43:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9750, loss_cls: 3.0518, loss: 3.0518 +2025-06-03 08:48:00,132 - pyskl - INFO - Epoch [38][900/2353] lr: 2.136e-02, eta: 1 day, 7:42:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9825, loss_cls: 3.0756, loss: 3.0756 +2025-06-03 08:48:43,196 - pyskl - INFO - Epoch [38][1000/2353] lr: 2.135e-02, eta: 1 day, 7:42:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9756, loss_cls: 3.0263, loss: 3.0263 +2025-06-03 08:49:26,191 - pyskl - INFO - Epoch [38][1100/2353] lr: 2.134e-02, eta: 1 day, 7:41:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9769, loss_cls: 3.0700, loss: 3.0700 +2025-06-03 08:50:09,274 - pyskl - INFO - Epoch [38][1200/2353] lr: 2.134e-02, eta: 1 day, 7:40:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9775, loss_cls: 3.1268, loss: 3.1268 +2025-06-03 08:50:52,679 - pyskl - INFO - Epoch [38][1300/2353] lr: 2.133e-02, eta: 1 day, 7:40:08, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9769, loss_cls: 2.9728, loss: 2.9728 +2025-06-03 08:51:35,883 - pyskl - INFO - Epoch [38][1400/2353] lr: 2.132e-02, eta: 1 day, 7:39:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9825, loss_cls: 2.9754, loss: 2.9754 +2025-06-03 08:52:18,964 - pyskl - INFO - Epoch [38][1500/2353] lr: 2.131e-02, eta: 1 day, 7:38:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 2.9615, loss: 2.9615 +2025-06-03 08:53:02,039 - pyskl - INFO - Epoch [38][1600/2353] lr: 2.131e-02, eta: 1 day, 7:37:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9750, loss_cls: 3.1039, loss: 3.1039 +2025-06-03 08:53:45,074 - pyskl - INFO - Epoch [38][1700/2353] lr: 2.130e-02, eta: 1 day, 7:37:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9756, loss_cls: 2.9466, loss: 2.9466 +2025-06-03 08:54:28,130 - pyskl - INFO - Epoch [38][1800/2353] lr: 2.129e-02, eta: 1 day, 7:36:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9725, loss_cls: 3.0266, loss: 3.0266 +2025-06-03 08:55:11,166 - pyskl - INFO - Epoch [38][1900/2353] lr: 2.128e-02, eta: 1 day, 7:35:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9731, loss_cls: 3.1537, loss: 3.1537 +2025-06-03 08:55:54,228 - pyskl - INFO - Epoch [38][2000/2353] lr: 2.127e-02, eta: 1 day, 7:35:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9806, loss_cls: 2.9326, loss: 2.9326 +2025-06-03 08:56:37,346 - pyskl - INFO - Epoch [38][2100/2353] lr: 2.127e-02, eta: 1 day, 7:34:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8131, top5_acc: 0.9731, loss_cls: 3.2159, loss: 3.2159 +2025-06-03 08:57:20,430 - pyskl - INFO - Epoch [38][2200/2353] lr: 2.126e-02, eta: 1 day, 7:33:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8194, top5_acc: 0.9663, loss_cls: 3.1182, loss: 3.1182 +2025-06-03 08:58:03,508 - pyskl - INFO - Epoch [38][2300/2353] lr: 2.125e-02, eta: 1 day, 7:32:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9756, loss_cls: 3.1482, loss: 3.1482 +2025-06-03 08:58:26,932 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-06-03 08:59:51,753 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 08:59:51,829 - pyskl - INFO - +top1_acc 0.8243 +top5_acc 0.9756 +2025-06-03 08:59:51,833 - pyskl - INFO - Epoch(val) [38][1184] top1_acc: 0.8243, top5_acc: 0.9756 +2025-06-03 09:00:55,275 - pyskl - INFO - Epoch [39][100/2353] lr: 2.124e-02, eta: 1 day, 7:31:43, time: 0.634, data_time: 0.204, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9719, loss_cls: 3.0241, loss: 3.0241 +2025-06-03 09:01:38,380 - pyskl - INFO - Epoch [39][200/2353] lr: 2.123e-02, eta: 1 day, 7:31:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9788, loss_cls: 3.0154, loss: 3.0154 +2025-06-03 09:02:21,506 - pyskl - INFO - Epoch [39][300/2353] lr: 2.122e-02, eta: 1 day, 7:30:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8206, top5_acc: 0.9825, loss_cls: 3.0908, loss: 3.0908 +2025-06-03 09:03:04,763 - pyskl - INFO - Epoch [39][400/2353] lr: 2.121e-02, eta: 1 day, 7:29:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9762, loss_cls: 3.0075, loss: 3.0075 +2025-06-03 09:03:47,818 - pyskl - INFO - Epoch [39][500/2353] lr: 2.121e-02, eta: 1 day, 7:28:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9719, loss_cls: 3.0141, loss: 3.0141 +2025-06-03 09:04:30,860 - pyskl - INFO - Epoch [39][600/2353] lr: 2.120e-02, eta: 1 day, 7:28:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9844, loss_cls: 2.9726, loss: 2.9726 +2025-06-03 09:05:13,926 - pyskl - INFO - Epoch [39][700/2353] lr: 2.119e-02, eta: 1 day, 7:27:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9762, loss_cls: 3.1315, loss: 3.1315 +2025-06-03 09:05:56,983 - pyskl - INFO - Epoch [39][800/2353] lr: 2.118e-02, eta: 1 day, 7:26:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9800, loss_cls: 3.0041, loss: 3.0041 +2025-06-03 09:06:40,040 - pyskl - INFO - Epoch [39][900/2353] lr: 2.117e-02, eta: 1 day, 7:25:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9775, loss_cls: 2.9318, loss: 2.9318 +2025-06-03 09:07:23,132 - pyskl - INFO - Epoch [39][1000/2353] lr: 2.117e-02, eta: 1 day, 7:25:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9750, loss_cls: 3.1580, loss: 3.1580 +2025-06-03 09:08:06,245 - pyskl - INFO - Epoch [39][1100/2353] lr: 2.116e-02, eta: 1 day, 7:24:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9750, loss_cls: 2.9558, loss: 2.9558 +2025-06-03 09:08:49,380 - pyskl - INFO - Epoch [39][1200/2353] lr: 2.115e-02, eta: 1 day, 7:23:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9712, loss_cls: 3.0353, loss: 3.0353 +2025-06-03 09:09:32,465 - pyskl - INFO - Epoch [39][1300/2353] lr: 2.114e-02, eta: 1 day, 7:23:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9769, loss_cls: 2.9885, loss: 2.9885 +2025-06-03 09:10:15,538 - pyskl - INFO - Epoch [39][1400/2353] lr: 2.113e-02, eta: 1 day, 7:22:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9781, loss_cls: 2.9450, loss: 2.9450 +2025-06-03 09:10:58,515 - pyskl - INFO - Epoch [39][1500/2353] lr: 2.113e-02, eta: 1 day, 7:21:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9788, loss_cls: 2.9482, loss: 2.9482 +2025-06-03 09:11:41,508 - pyskl - INFO - Epoch [39][1600/2353] lr: 2.112e-02, eta: 1 day, 7:20:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9719, loss_cls: 3.0783, loss: 3.0783 +2025-06-03 09:12:24,543 - pyskl - INFO - Epoch [39][1700/2353] lr: 2.111e-02, eta: 1 day, 7:20:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9750, loss_cls: 3.0166, loss: 3.0166 +2025-06-03 09:13:07,473 - pyskl - INFO - Epoch [39][1800/2353] lr: 2.110e-02, eta: 1 day, 7:19:30, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9756, loss_cls: 3.0232, loss: 3.0232 +2025-06-03 09:13:50,552 - pyskl - INFO - Epoch [39][1900/2353] lr: 2.109e-02, eta: 1 day, 7:18:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8050, top5_acc: 0.9781, loss_cls: 3.1335, loss: 3.1335 +2025-06-03 09:14:33,727 - pyskl - INFO - Epoch [39][2000/2353] lr: 2.109e-02, eta: 1 day, 7:18:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8256, top5_acc: 0.9750, loss_cls: 3.0575, loss: 3.0575 +2025-06-03 09:15:17,130 - pyskl - INFO - Epoch [39][2100/2353] lr: 2.108e-02, eta: 1 day, 7:17:22, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9762, loss_cls: 3.0126, loss: 3.0126 +2025-06-03 09:16:00,788 - pyskl - INFO - Epoch [39][2200/2353] lr: 2.107e-02, eta: 1 day, 7:16:41, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9788, loss_cls: 2.9057, loss: 2.9057 +2025-06-03 09:16:43,892 - pyskl - INFO - Epoch [39][2300/2353] lr: 2.106e-02, eta: 1 day, 7:15:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9794, loss_cls: 3.0837, loss: 3.0837 +2025-06-03 09:17:07,276 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-06-03 09:18:32,571 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:18:32,647 - pyskl - INFO - +top1_acc 0.8319 +top5_acc 0.9833 +2025-06-03 09:18:32,651 - pyskl - INFO - Epoch(val) [39][1184] top1_acc: 0.8319, top5_acc: 0.9833 +2025-06-03 09:19:36,340 - pyskl - INFO - Epoch [40][100/2353] lr: 2.105e-02, eta: 1 day, 7:14:45, time: 0.637, data_time: 0.206, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9712, loss_cls: 3.0850, loss: 3.0850 +2025-06-03 09:20:19,527 - pyskl - INFO - Epoch [40][200/2353] lr: 2.104e-02, eta: 1 day, 7:14:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9750, loss_cls: 3.0355, loss: 3.0355 +2025-06-03 09:21:02,558 - pyskl - INFO - Epoch [40][300/2353] lr: 2.103e-02, eta: 1 day, 7:13:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9731, loss_cls: 3.0117, loss: 3.0117 +2025-06-03 09:21:45,449 - pyskl - INFO - Epoch [40][400/2353] lr: 2.102e-02, eta: 1 day, 7:12:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9856, loss_cls: 2.9336, loss: 2.9336 +2025-06-03 09:22:28,598 - pyskl - INFO - Epoch [40][500/2353] lr: 2.102e-02, eta: 1 day, 7:11:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9806, loss_cls: 3.0072, loss: 3.0072 +2025-06-03 09:23:11,638 - pyskl - INFO - Epoch [40][600/2353] lr: 2.101e-02, eta: 1 day, 7:11:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9775, loss_cls: 2.9616, loss: 2.9616 +2025-06-03 09:23:55,005 - pyskl - INFO - Epoch [40][700/2353] lr: 2.100e-02, eta: 1 day, 7:10:27, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9731, loss_cls: 3.0210, loss: 3.0210 +2025-06-03 09:24:38,146 - pyskl - INFO - Epoch [40][800/2353] lr: 2.099e-02, eta: 1 day, 7:09:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9794, loss_cls: 3.0771, loss: 3.0771 +2025-06-03 09:25:21,161 - pyskl - INFO - Epoch [40][900/2353] lr: 2.098e-02, eta: 1 day, 7:09:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9719, loss_cls: 2.9914, loss: 2.9914 +2025-06-03 09:26:04,167 - pyskl - INFO - Epoch [40][1000/2353] lr: 2.098e-02, eta: 1 day, 7:08:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9750, loss_cls: 3.0540, loss: 3.0540 +2025-06-03 09:26:47,275 - pyskl - INFO - Epoch [40][1100/2353] lr: 2.097e-02, eta: 1 day, 7:07:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9775, loss_cls: 3.0286, loss: 3.0286 +2025-06-03 09:27:30,296 - pyskl - INFO - Epoch [40][1200/2353] lr: 2.096e-02, eta: 1 day, 7:06:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9781, loss_cls: 3.1067, loss: 3.1067 +2025-06-03 09:28:13,430 - pyskl - INFO - Epoch [40][1300/2353] lr: 2.095e-02, eta: 1 day, 7:06:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9769, loss_cls: 2.9657, loss: 2.9657 +2025-06-03 09:28:56,475 - pyskl - INFO - Epoch [40][1400/2353] lr: 2.094e-02, eta: 1 day, 7:05:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9788, loss_cls: 2.9958, loss: 2.9958 +2025-06-03 09:29:39,593 - pyskl - INFO - Epoch [40][1500/2353] lr: 2.093e-02, eta: 1 day, 7:04:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9738, loss_cls: 3.0294, loss: 3.0294 +2025-06-03 09:30:22,675 - pyskl - INFO - Epoch [40][1600/2353] lr: 2.093e-02, eta: 1 day, 7:03:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9806, loss_cls: 2.9484, loss: 2.9484 +2025-06-03 09:31:05,740 - pyskl - INFO - Epoch [40][1700/2353] lr: 2.092e-02, eta: 1 day, 7:03:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9700, loss_cls: 3.1053, loss: 3.1053 +2025-06-03 09:31:48,996 - pyskl - INFO - Epoch [40][1800/2353] lr: 2.091e-02, eta: 1 day, 7:02:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9712, loss_cls: 3.2219, loss: 3.2219 +2025-06-03 09:32:32,018 - pyskl - INFO - Epoch [40][1900/2353] lr: 2.090e-02, eta: 1 day, 7:01:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9731, loss_cls: 3.0748, loss: 3.0748 +2025-06-03 09:33:15,042 - pyskl - INFO - Epoch [40][2000/2353] lr: 2.089e-02, eta: 1 day, 7:01:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9825, loss_cls: 3.0366, loss: 3.0366 +2025-06-03 09:33:58,114 - pyskl - INFO - Epoch [40][2100/2353] lr: 2.089e-02, eta: 1 day, 7:00:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9756, loss_cls: 3.0249, loss: 3.0249 +2025-06-03 09:34:41,170 - pyskl - INFO - Epoch [40][2200/2353] lr: 2.088e-02, eta: 1 day, 6:59:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9756, loss_cls: 3.0750, loss: 3.0750 +2025-06-03 09:35:24,205 - pyskl - INFO - Epoch [40][2300/2353] lr: 2.087e-02, eta: 1 day, 6:58:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9781, loss_cls: 3.0051, loss: 3.0051 +2025-06-03 09:35:47,547 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-06-03 09:44:49,243 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 09:44:49,319 - pyskl - INFO - +top1_acc 0.8630 +top5_acc 0.9876 +2025-06-03 09:44:49,323 - pyskl - INFO - Epoch(val) [40][1184] top1_acc: 0.8630, top5_acc: 0.9876 +2025-06-03 09:45:52,404 - pyskl - INFO - Epoch [41][100/2353] lr: 2.086e-02, eta: 1 day, 6:57:44, time: 0.631, data_time: 0.200, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9775, loss_cls: 2.9815, loss: 2.9815 +2025-06-03 09:46:35,527 - pyskl - INFO - Epoch [41][200/2353] lr: 2.085e-02, eta: 1 day, 6:57:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9800, loss_cls: 2.8969, loss: 2.8969 +2025-06-03 09:47:18,668 - pyskl - INFO - Epoch [41][300/2353] lr: 2.084e-02, eta: 1 day, 6:56:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9788, loss_cls: 3.1038, loss: 3.1038 +2025-06-03 09:48:01,539 - pyskl - INFO - Epoch [41][400/2353] lr: 2.083e-02, eta: 1 day, 6:55:34, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8181, top5_acc: 0.9788, loss_cls: 3.0951, loss: 3.0951 +2025-06-03 09:48:44,406 - pyskl - INFO - Epoch [41][500/2353] lr: 2.082e-02, eta: 1 day, 6:54:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9788, loss_cls: 3.0400, loss: 3.0400 +2025-06-03 09:49:27,284 - pyskl - INFO - Epoch [41][600/2353] lr: 2.081e-02, eta: 1 day, 6:54:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9738, loss_cls: 2.9164, loss: 2.9164 +2025-06-03 09:50:10,363 - pyskl - INFO - Epoch [41][700/2353] lr: 2.081e-02, eta: 1 day, 6:53:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9769, loss_cls: 3.0313, loss: 3.0313 +2025-06-03 09:50:53,402 - pyskl - INFO - Epoch [41][800/2353] lr: 2.080e-02, eta: 1 day, 6:52:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9762, loss_cls: 2.9827, loss: 2.9827 +2025-06-03 09:51:36,432 - pyskl - INFO - Epoch [41][900/2353] lr: 2.079e-02, eta: 1 day, 6:51:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9794, loss_cls: 3.0281, loss: 3.0281 +2025-06-03 09:52:19,335 - pyskl - INFO - Epoch [41][1000/2353] lr: 2.078e-02, eta: 1 day, 6:51:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9769, loss_cls: 2.9884, loss: 2.9884 +2025-06-03 09:53:02,283 - pyskl - INFO - Epoch [41][1100/2353] lr: 2.077e-02, eta: 1 day, 6:50:30, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 2.9833, loss: 2.9833 +2025-06-03 09:53:45,522 - pyskl - INFO - Epoch [41][1200/2353] lr: 2.076e-02, eta: 1 day, 6:49:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9750, loss_cls: 3.0206, loss: 3.0206 +2025-06-03 09:54:28,594 - pyskl - INFO - Epoch [41][1300/2353] lr: 2.076e-02, eta: 1 day, 6:49:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9769, loss_cls: 3.0155, loss: 3.0155 +2025-06-03 09:55:11,605 - pyskl - INFO - Epoch [41][1400/2353] lr: 2.075e-02, eta: 1 day, 6:48:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9688, loss_cls: 3.0516, loss: 3.0516 +2025-06-03 09:55:54,638 - pyskl - INFO - Epoch [41][1500/2353] lr: 2.074e-02, eta: 1 day, 6:47:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9762, loss_cls: 2.9844, loss: 2.9844 +2025-06-03 09:56:37,626 - pyskl - INFO - Epoch [41][1600/2353] lr: 2.073e-02, eta: 1 day, 6:46:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9756, loss_cls: 2.9175, loss: 2.9175 +2025-06-03 09:57:20,630 - pyskl - INFO - Epoch [41][1700/2353] lr: 2.072e-02, eta: 1 day, 6:46:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9706, loss_cls: 3.0646, loss: 3.0646 +2025-06-03 09:58:03,493 - pyskl - INFO - Epoch [41][1800/2353] lr: 2.071e-02, eta: 1 day, 6:45:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9725, loss_cls: 3.0365, loss: 3.0365 +2025-06-03 09:58:46,429 - pyskl - INFO - Epoch [41][1900/2353] lr: 2.071e-02, eta: 1 day, 6:44:44, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9788, loss_cls: 2.9683, loss: 2.9683 +2025-06-03 09:59:29,560 - pyskl - INFO - Epoch [41][2000/2353] lr: 2.070e-02, eta: 1 day, 6:44:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9769, loss_cls: 3.0105, loss: 3.0105 +2025-06-03 10:00:12,661 - pyskl - INFO - Epoch [41][2100/2353] lr: 2.069e-02, eta: 1 day, 6:43:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9744, loss_cls: 3.0775, loss: 3.0775 +2025-06-03 10:00:55,700 - pyskl - INFO - Epoch [41][2200/2353] lr: 2.068e-02, eta: 1 day, 6:42:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8269, top5_acc: 0.9738, loss_cls: 3.0836, loss: 3.0836 +2025-06-03 10:01:38,683 - pyskl - INFO - Epoch [41][2300/2353] lr: 2.067e-02, eta: 1 day, 6:41:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9781, loss_cls: 2.9966, loss: 2.9966 +2025-06-03 10:02:02,151 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-06-03 10:03:26,530 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:03:26,606 - pyskl - INFO - +top1_acc 0.8467 +top5_acc 0.9851 +2025-06-03 10:03:26,609 - pyskl - INFO - Epoch(val) [41][1184] top1_acc: 0.8467, top5_acc: 0.9851 +2025-06-03 10:04:29,539 - pyskl - INFO - Epoch [42][100/2353] lr: 2.066e-02, eta: 1 day, 6:40:38, time: 0.629, data_time: 0.198, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 3.0005, loss: 3.0005 +2025-06-03 10:05:12,692 - pyskl - INFO - Epoch [42][200/2353] lr: 2.065e-02, eta: 1 day, 6:39:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9756, loss_cls: 2.9101, loss: 2.9101 +2025-06-03 10:05:55,828 - pyskl - INFO - Epoch [42][300/2353] lr: 2.064e-02, eta: 1 day, 6:39:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9838, loss_cls: 2.8812, loss: 2.8812 +2025-06-03 10:06:39,047 - pyskl - INFO - Epoch [42][400/2353] lr: 2.063e-02, eta: 1 day, 6:38:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9769, loss_cls: 2.9413, loss: 2.9413 +2025-06-03 10:07:22,053 - pyskl - INFO - Epoch [42][500/2353] lr: 2.063e-02, eta: 1 day, 6:37:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8175, top5_acc: 0.9756, loss_cls: 3.0841, loss: 3.0841 +2025-06-03 10:08:04,946 - pyskl - INFO - Epoch [42][600/2353] lr: 2.062e-02, eta: 1 day, 6:37:03, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9844, loss_cls: 2.9083, loss: 2.9083 +2025-06-03 10:08:47,920 - pyskl - INFO - Epoch [42][700/2353] lr: 2.061e-02, eta: 1 day, 6:36:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9712, loss_cls: 2.9869, loss: 2.9869 +2025-06-03 10:09:30,887 - pyskl - INFO - Epoch [42][800/2353] lr: 2.060e-02, eta: 1 day, 6:35:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9700, loss_cls: 3.0777, loss: 3.0777 +2025-06-03 10:10:14,056 - pyskl - INFO - Epoch [42][900/2353] lr: 2.059e-02, eta: 1 day, 6:34:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9800, loss_cls: 2.9475, loss: 2.9475 +2025-06-03 10:10:57,196 - pyskl - INFO - Epoch [42][1000/2353] lr: 2.058e-02, eta: 1 day, 6:34:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9831, loss_cls: 2.9251, loss: 2.9251 +2025-06-03 10:11:40,310 - pyskl - INFO - Epoch [42][1100/2353] lr: 2.057e-02, eta: 1 day, 6:33:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 3.0330, loss: 3.0330 +2025-06-03 10:12:23,430 - pyskl - INFO - Epoch [42][1200/2353] lr: 2.057e-02, eta: 1 day, 6:32:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9719, loss_cls: 3.0564, loss: 3.0564 +2025-06-03 10:13:06,563 - pyskl - INFO - Epoch [42][1300/2353] lr: 2.056e-02, eta: 1 day, 6:32:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9694, loss_cls: 3.0016, loss: 3.0016 +2025-06-03 10:13:49,671 - pyskl - INFO - Epoch [42][1400/2353] lr: 2.055e-02, eta: 1 day, 6:31:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9738, loss_cls: 3.0945, loss: 3.0945 +2025-06-03 10:14:32,843 - pyskl - INFO - Epoch [42][1500/2353] lr: 2.054e-02, eta: 1 day, 6:30:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8213, top5_acc: 0.9744, loss_cls: 3.0182, loss: 3.0182 +2025-06-03 10:15:16,022 - pyskl - INFO - Epoch [42][1600/2353] lr: 2.053e-02, eta: 1 day, 6:29:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9812, loss_cls: 2.9620, loss: 2.9620 +2025-06-03 10:15:59,147 - pyskl - INFO - Epoch [42][1700/2353] lr: 2.052e-02, eta: 1 day, 6:29:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9812, loss_cls: 2.8533, loss: 2.8533 +2025-06-03 10:16:42,370 - pyskl - INFO - Epoch [42][1800/2353] lr: 2.052e-02, eta: 1 day, 6:28:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9762, loss_cls: 2.9114, loss: 2.9114 +2025-06-03 10:17:25,536 - pyskl - INFO - Epoch [42][1900/2353] lr: 2.051e-02, eta: 1 day, 6:27:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9806, loss_cls: 2.9857, loss: 2.9857 +2025-06-03 10:18:08,858 - pyskl - INFO - Epoch [42][2000/2353] lr: 2.050e-02, eta: 1 day, 6:27:02, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9788, loss_cls: 3.0310, loss: 3.0310 +2025-06-03 10:18:52,006 - pyskl - INFO - Epoch [42][2100/2353] lr: 2.049e-02, eta: 1 day, 6:26:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8225, top5_acc: 0.9694, loss_cls: 3.1116, loss: 3.1116 +2025-06-03 10:19:35,202 - pyskl - INFO - Epoch [42][2200/2353] lr: 2.048e-02, eta: 1 day, 6:25:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9706, loss_cls: 2.9865, loss: 2.9865 +2025-06-03 10:20:18,258 - pyskl - INFO - Epoch [42][2300/2353] lr: 2.047e-02, eta: 1 day, 6:24:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8237, top5_acc: 0.9731, loss_cls: 3.0423, loss: 3.0423 +2025-06-03 10:20:41,713 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-06-03 10:22:06,680 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:22:06,756 - pyskl - INFO - +top1_acc 0.8403 +top5_acc 0.9811 +2025-06-03 10:22:06,759 - pyskl - INFO - Epoch(val) [42][1184] top1_acc: 0.8403, top5_acc: 0.9811 +2025-06-03 10:23:09,755 - pyskl - INFO - Epoch [43][100/2353] lr: 2.046e-02, eta: 1 day, 6:23:40, time: 0.630, data_time: 0.199, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9838, loss_cls: 2.9291, loss: 2.9291 +2025-06-03 10:23:52,963 - pyskl - INFO - Epoch [43][200/2353] lr: 2.045e-02, eta: 1 day, 6:22:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9781, loss_cls: 2.9090, loss: 2.9090 +2025-06-03 10:24:36,368 - pyskl - INFO - Epoch [43][300/2353] lr: 2.044e-02, eta: 1 day, 6:22:15, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9762, loss_cls: 2.9927, loss: 2.9927 +2025-06-03 10:25:19,815 - pyskl - INFO - Epoch [43][400/2353] lr: 2.043e-02, eta: 1 day, 6:21:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9800, loss_cls: 2.9080, loss: 2.9080 +2025-06-03 10:26:02,890 - pyskl - INFO - Epoch [43][500/2353] lr: 2.042e-02, eta: 1 day, 6:20:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9738, loss_cls: 2.9971, loss: 2.9971 +2025-06-03 10:26:45,824 - pyskl - INFO - Epoch [43][600/2353] lr: 2.042e-02, eta: 1 day, 6:20:06, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9788, loss_cls: 3.0279, loss: 3.0279 +2025-06-03 10:27:28,802 - pyskl - INFO - Epoch [43][700/2353] lr: 2.041e-02, eta: 1 day, 6:19:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9800, loss_cls: 3.0091, loss: 3.0091 +2025-06-03 10:28:11,756 - pyskl - INFO - Epoch [43][800/2353] lr: 2.040e-02, eta: 1 day, 6:18:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9712, loss_cls: 2.9817, loss: 2.9817 +2025-06-03 10:28:54,737 - pyskl - INFO - Epoch [43][900/2353] lr: 2.039e-02, eta: 1 day, 6:17:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9738, loss_cls: 2.8927, loss: 2.8927 +2025-06-03 10:29:37,722 - pyskl - INFO - Epoch [43][1000/2353] lr: 2.038e-02, eta: 1 day, 6:17:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9869, loss_cls: 2.9356, loss: 2.9356 +2025-06-03 10:30:20,671 - pyskl - INFO - Epoch [43][1100/2353] lr: 2.037e-02, eta: 1 day, 6:16:29, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9775, loss_cls: 3.0143, loss: 3.0143 +2025-06-03 10:31:03,802 - pyskl - INFO - Epoch [43][1200/2353] lr: 2.036e-02, eta: 1 day, 6:15:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8350, top5_acc: 0.9744, loss_cls: 3.0640, loss: 3.0640 +2025-06-03 10:31:46,909 - pyskl - INFO - Epoch [43][1300/2353] lr: 2.036e-02, eta: 1 day, 6:15:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9725, loss_cls: 2.9563, loss: 2.9563 +2025-06-03 10:32:30,104 - pyskl - INFO - Epoch [43][1400/2353] lr: 2.035e-02, eta: 1 day, 6:14:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9775, loss_cls: 3.1123, loss: 3.1123 +2025-06-03 10:33:13,168 - pyskl - INFO - Epoch [43][1500/2353] lr: 2.034e-02, eta: 1 day, 6:13:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9794, loss_cls: 2.9021, loss: 2.9021 +2025-06-03 10:33:56,312 - pyskl - INFO - Epoch [43][1600/2353] lr: 2.033e-02, eta: 1 day, 6:12:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9775, loss_cls: 2.9315, loss: 2.9315 +2025-06-03 10:34:39,401 - pyskl - INFO - Epoch [43][1700/2353] lr: 2.032e-02, eta: 1 day, 6:12:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8306, top5_acc: 0.9775, loss_cls: 3.0153, loss: 3.0153 +2025-06-03 10:35:22,471 - pyskl - INFO - Epoch [43][1800/2353] lr: 2.031e-02, eta: 1 day, 6:11:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9769, loss_cls: 3.0603, loss: 3.0603 +2025-06-03 10:36:05,601 - pyskl - INFO - Epoch [43][1900/2353] lr: 2.030e-02, eta: 1 day, 6:10:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9769, loss_cls: 2.9530, loss: 2.9530 +2025-06-03 10:36:49,031 - pyskl - INFO - Epoch [43][2000/2353] lr: 2.030e-02, eta: 1 day, 6:10:03, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9794, loss_cls: 2.9543, loss: 2.9543 +2025-06-03 10:37:32,175 - pyskl - INFO - Epoch [43][2100/2353] lr: 2.029e-02, eta: 1 day, 6:09:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9775, loss_cls: 3.0505, loss: 3.0505 +2025-06-03 10:38:15,363 - pyskl - INFO - Epoch [43][2200/2353] lr: 2.028e-02, eta: 1 day, 6:08:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8244, top5_acc: 0.9694, loss_cls: 3.0745, loss: 3.0745 +2025-06-03 10:38:58,407 - pyskl - INFO - Epoch [43][2300/2353] lr: 2.027e-02, eta: 1 day, 6:07:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9794, loss_cls: 3.0466, loss: 3.0466 +2025-06-03 10:39:21,821 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-06-03 10:40:47,247 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:40:47,323 - pyskl - INFO - +top1_acc 0.8763 +top5_acc 0.9886 +2025-06-03 10:40:47,380 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_24.pth was removed +2025-06-03 10:40:48,461 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_43.pth. +2025-06-03 10:40:48,462 - pyskl - INFO - Best top1_acc is 0.8763 at 43 epoch. +2025-06-03 10:40:48,465 - pyskl - INFO - Epoch(val) [43][1184] top1_acc: 0.8763, top5_acc: 0.9886 +2025-06-03 10:41:52,455 - pyskl - INFO - Epoch [44][100/2353] lr: 2.026e-02, eta: 1 day, 6:06:44, time: 0.640, data_time: 0.204, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9775, loss_cls: 2.8980, loss: 2.8980 +2025-06-03 10:42:35,696 - pyskl - INFO - Epoch [44][200/2353] lr: 2.025e-02, eta: 1 day, 6:06:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9769, loss_cls: 2.8274, loss: 2.8274 +2025-06-03 10:43:18,994 - pyskl - INFO - Epoch [44][300/2353] lr: 2.024e-02, eta: 1 day, 6:05:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9800, loss_cls: 2.9022, loss: 2.9022 +2025-06-03 10:44:02,164 - pyskl - INFO - Epoch [44][400/2353] lr: 2.023e-02, eta: 1 day, 6:04:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9762, loss_cls: 3.1110, loss: 3.1110 +2025-06-03 10:44:45,510 - pyskl - INFO - Epoch [44][500/2353] lr: 2.022e-02, eta: 1 day, 6:03:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9756, loss_cls: 3.0489, loss: 3.0489 +2025-06-03 10:45:28,777 - pyskl - INFO - Epoch [44][600/2353] lr: 2.021e-02, eta: 1 day, 6:03:11, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9775, loss_cls: 3.0478, loss: 3.0478 +2025-06-03 10:46:11,951 - pyskl - INFO - Epoch [44][700/2353] lr: 2.020e-02, eta: 1 day, 6:02:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9794, loss_cls: 2.9395, loss: 2.9395 +2025-06-03 10:46:55,095 - pyskl - INFO - Epoch [44][800/2353] lr: 2.019e-02, eta: 1 day, 6:01:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9788, loss_cls: 3.0640, loss: 3.0640 +2025-06-03 10:47:38,199 - pyskl - INFO - Epoch [44][900/2353] lr: 2.019e-02, eta: 1 day, 6:01:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9788, loss_cls: 2.8433, loss: 2.8433 +2025-06-03 10:48:21,307 - pyskl - INFO - Epoch [44][1000/2353] lr: 2.018e-02, eta: 1 day, 6:00:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9806, loss_cls: 2.9698, loss: 2.9698 +2025-06-03 10:49:04,444 - pyskl - INFO - Epoch [44][1100/2353] lr: 2.017e-02, eta: 1 day, 5:59:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9794, loss_cls: 2.8923, loss: 2.8923 +2025-06-03 10:49:47,598 - pyskl - INFO - Epoch [44][1200/2353] lr: 2.016e-02, eta: 1 day, 5:58:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9775, loss_cls: 2.9372, loss: 2.9372 +2025-06-03 10:50:30,638 - pyskl - INFO - Epoch [44][1300/2353] lr: 2.015e-02, eta: 1 day, 5:58:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9675, loss_cls: 2.9532, loss: 2.9532 +2025-06-03 10:51:13,714 - pyskl - INFO - Epoch [44][1400/2353] lr: 2.014e-02, eta: 1 day, 5:57:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9712, loss_cls: 3.0156, loss: 3.0156 +2025-06-03 10:51:56,778 - pyskl - INFO - Epoch [44][1500/2353] lr: 2.013e-02, eta: 1 day, 5:56:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9762, loss_cls: 2.9341, loss: 2.9341 +2025-06-03 10:52:39,919 - pyskl - INFO - Epoch [44][1600/2353] lr: 2.012e-02, eta: 1 day, 5:56:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9775, loss_cls: 2.9977, loss: 2.9977 +2025-06-03 10:53:22,966 - pyskl - INFO - Epoch [44][1700/2353] lr: 2.012e-02, eta: 1 day, 5:55:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9769, loss_cls: 3.0511, loss: 3.0511 +2025-06-03 10:54:06,032 - pyskl - INFO - Epoch [44][1800/2353] lr: 2.011e-02, eta: 1 day, 5:54:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9731, loss_cls: 3.0189, loss: 3.0189 +2025-06-03 10:54:49,137 - pyskl - INFO - Epoch [44][1900/2353] lr: 2.010e-02, eta: 1 day, 5:53:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9725, loss_cls: 3.0958, loss: 3.0958 +2025-06-03 10:55:32,190 - pyskl - INFO - Epoch [44][2000/2353] lr: 2.009e-02, eta: 1 day, 5:53:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9738, loss_cls: 3.0341, loss: 3.0341 +2025-06-03 10:56:15,347 - pyskl - INFO - Epoch [44][2100/2353] lr: 2.008e-02, eta: 1 day, 5:52:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9712, loss_cls: 2.9777, loss: 2.9777 +2025-06-03 10:56:58,379 - pyskl - INFO - Epoch [44][2200/2353] lr: 2.007e-02, eta: 1 day, 5:51:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9844, loss_cls: 2.9074, loss: 2.9074 +2025-06-03 10:57:41,495 - pyskl - INFO - Epoch [44][2300/2353] lr: 2.006e-02, eta: 1 day, 5:50:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8287, top5_acc: 0.9738, loss_cls: 3.0540, loss: 3.0540 +2025-06-03 10:58:04,918 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-06-03 10:59:29,877 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 10:59:29,953 - pyskl - INFO - +top1_acc 0.8636 +top5_acc 0.9874 +2025-06-03 10:59:29,956 - pyskl - INFO - Epoch(val) [44][1184] top1_acc: 0.8636, top5_acc: 0.9874 +2025-06-03 11:00:33,247 - pyskl - INFO - Epoch [45][100/2353] lr: 2.005e-02, eta: 1 day, 5:49:47, time: 0.633, data_time: 0.202, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9781, loss_cls: 2.8419, loss: 2.8419 +2025-06-03 11:01:16,338 - pyskl - INFO - Epoch [45][200/2353] lr: 2.004e-02, eta: 1 day, 5:49:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9769, loss_cls: 3.0117, loss: 3.0117 +2025-06-03 11:01:59,361 - pyskl - INFO - Epoch [45][300/2353] lr: 2.003e-02, eta: 1 day, 5:48:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9788, loss_cls: 2.8048, loss: 2.8048 +2025-06-03 11:02:42,584 - pyskl - INFO - Epoch [45][400/2353] lr: 2.002e-02, eta: 1 day, 5:47:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9800, loss_cls: 2.9522, loss: 2.9522 +2025-06-03 11:03:25,698 - pyskl - INFO - Epoch [45][500/2353] lr: 2.001e-02, eta: 1 day, 5:46:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9781, loss_cls: 2.9876, loss: 2.9876 +2025-06-03 11:04:08,894 - pyskl - INFO - Epoch [45][600/2353] lr: 2.000e-02, eta: 1 day, 5:46:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9788, loss_cls: 2.9609, loss: 2.9609 +2025-06-03 11:04:52,054 - pyskl - INFO - Epoch [45][700/2353] lr: 2.000e-02, eta: 1 day, 5:45:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9756, loss_cls: 3.0092, loss: 3.0092 +2025-06-03 11:05:35,235 - pyskl - INFO - Epoch [45][800/2353] lr: 1.999e-02, eta: 1 day, 5:44:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8275, top5_acc: 0.9756, loss_cls: 2.9675, loss: 2.9675 +2025-06-03 11:06:18,278 - pyskl - INFO - Epoch [45][900/2353] lr: 1.998e-02, eta: 1 day, 5:44:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9806, loss_cls: 2.9255, loss: 2.9255 +2025-06-03 11:07:01,272 - pyskl - INFO - Epoch [45][1000/2353] lr: 1.997e-02, eta: 1 day, 5:43:21, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9812, loss_cls: 2.8016, loss: 2.8016 +2025-06-03 11:07:44,417 - pyskl - INFO - Epoch [45][1100/2353] lr: 1.996e-02, eta: 1 day, 5:42:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9725, loss_cls: 2.8863, loss: 2.8863 +2025-06-03 11:08:27,785 - pyskl - INFO - Epoch [45][1200/2353] lr: 1.995e-02, eta: 1 day, 5:41:55, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9656, loss_cls: 2.9709, loss: 2.9709 +2025-06-03 11:09:11,131 - pyskl - INFO - Epoch [45][1300/2353] lr: 1.994e-02, eta: 1 day, 5:41:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9800, loss_cls: 2.9781, loss: 2.9781 +2025-06-03 11:09:54,358 - pyskl - INFO - Epoch [45][1400/2353] lr: 1.993e-02, eta: 1 day, 5:40:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8150, top5_acc: 0.9769, loss_cls: 3.0876, loss: 3.0876 +2025-06-03 11:10:37,453 - pyskl - INFO - Epoch [45][1500/2353] lr: 1.992e-02, eta: 1 day, 5:39:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9788, loss_cls: 2.8506, loss: 2.8506 +2025-06-03 11:11:20,598 - pyskl - INFO - Epoch [45][1600/2353] lr: 1.992e-02, eta: 1 day, 5:39:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8219, top5_acc: 0.9712, loss_cls: 3.0848, loss: 3.0848 +2025-06-03 11:12:03,674 - pyskl - INFO - Epoch [45][1700/2353] lr: 1.991e-02, eta: 1 day, 5:38:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9781, loss_cls: 2.9868, loss: 2.9868 +2025-06-03 11:12:46,735 - pyskl - INFO - Epoch [45][1800/2353] lr: 1.990e-02, eta: 1 day, 5:37:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9794, loss_cls: 2.9008, loss: 2.9008 +2025-06-03 11:13:29,864 - pyskl - INFO - Epoch [45][1900/2353] lr: 1.989e-02, eta: 1 day, 5:36:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9719, loss_cls: 3.0791, loss: 3.0791 +2025-06-03 11:14:12,829 - pyskl - INFO - Epoch [45][2000/2353] lr: 1.988e-02, eta: 1 day, 5:36:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9775, loss_cls: 2.9541, loss: 2.9541 +2025-06-03 11:14:55,836 - pyskl - INFO - Epoch [45][2100/2353] lr: 1.987e-02, eta: 1 day, 5:35:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9825, loss_cls: 2.8971, loss: 2.8971 +2025-06-03 11:15:38,942 - pyskl - INFO - Epoch [45][2200/2353] lr: 1.986e-02, eta: 1 day, 5:34:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9775, loss_cls: 3.0502, loss: 3.0502 +2025-06-03 11:16:21,998 - pyskl - INFO - Epoch [45][2300/2353] lr: 1.985e-02, eta: 1 day, 5:34:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9750, loss_cls: 2.9760, loss: 2.9760 +2025-06-03 11:16:45,366 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-06-03 11:25:22,885 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:25:22,960 - pyskl - INFO - +top1_acc 0.8802 +top5_acc 0.9878 +2025-06-03 11:25:23,016 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_43.pth was removed +2025-06-03 11:25:24,032 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_45.pth. +2025-06-03 11:25:24,033 - pyskl - INFO - Best top1_acc is 0.8802 at 45 epoch. +2025-06-03 11:25:24,036 - pyskl - INFO - Epoch(val) [45][1184] top1_acc: 0.8802, top5_acc: 0.9878 +2025-06-03 11:26:27,088 - pyskl - INFO - Epoch [46][100/2353] lr: 1.984e-02, eta: 1 day, 5:32:50, time: 0.630, data_time: 0.199, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9775, loss_cls: 2.8245, loss: 2.8245 +2025-06-03 11:27:10,323 - pyskl - INFO - Epoch [46][200/2353] lr: 1.983e-02, eta: 1 day, 5:32:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9875, loss_cls: 2.8805, loss: 2.8805 +2025-06-03 11:27:53,371 - pyskl - INFO - Epoch [46][300/2353] lr: 1.982e-02, eta: 1 day, 5:31:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9706, loss_cls: 3.0362, loss: 3.0362 +2025-06-03 11:28:36,503 - pyskl - INFO - Epoch [46][400/2353] lr: 1.981e-02, eta: 1 day, 5:30:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9762, loss_cls: 2.9617, loss: 2.9617 +2025-06-03 11:29:19,505 - pyskl - INFO - Epoch [46][500/2353] lr: 1.980e-02, eta: 1 day, 5:29:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8281, top5_acc: 0.9825, loss_cls: 3.0086, loss: 3.0086 +2025-06-03 11:30:02,579 - pyskl - INFO - Epoch [46][600/2353] lr: 1.979e-02, eta: 1 day, 5:29:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9769, loss_cls: 2.9236, loss: 2.9236 +2025-06-03 11:30:45,552 - pyskl - INFO - Epoch [46][700/2353] lr: 1.978e-02, eta: 1 day, 5:28:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9831, loss_cls: 2.8733, loss: 2.8733 +2025-06-03 11:31:28,557 - pyskl - INFO - Epoch [46][800/2353] lr: 1.978e-02, eta: 1 day, 5:27:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9850, loss_cls: 2.8551, loss: 2.8551 +2025-06-03 11:32:11,611 - pyskl - INFO - Epoch [46][900/2353] lr: 1.977e-02, eta: 1 day, 5:27:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9719, loss_cls: 2.8994, loss: 2.8994 +2025-06-03 11:32:54,721 - pyskl - INFO - Epoch [46][1000/2353] lr: 1.976e-02, eta: 1 day, 5:26:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9825, loss_cls: 2.9196, loss: 2.9196 +2025-06-03 11:33:37,774 - pyskl - INFO - Epoch [46][1100/2353] lr: 1.975e-02, eta: 1 day, 5:25:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9800, loss_cls: 2.8529, loss: 2.8529 +2025-06-03 11:34:20,889 - pyskl - INFO - Epoch [46][1200/2353] lr: 1.974e-02, eta: 1 day, 5:24:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9762, loss_cls: 2.9309, loss: 2.9309 +2025-06-03 11:35:04,107 - pyskl - INFO - Epoch [46][1300/2353] lr: 1.973e-02, eta: 1 day, 5:24:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9850, loss_cls: 2.9152, loss: 2.9152 +2025-06-03 11:35:47,330 - pyskl - INFO - Epoch [46][1400/2353] lr: 1.972e-02, eta: 1 day, 5:23:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9788, loss_cls: 2.8949, loss: 2.8949 +2025-06-03 11:36:30,510 - pyskl - INFO - Epoch [46][1500/2353] lr: 1.971e-02, eta: 1 day, 5:22:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9769, loss_cls: 2.9871, loss: 2.9871 +2025-06-03 11:37:13,619 - pyskl - INFO - Epoch [46][1600/2353] lr: 1.970e-02, eta: 1 day, 5:22:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9788, loss_cls: 3.0117, loss: 3.0117 +2025-06-03 11:37:56,790 - pyskl - INFO - Epoch [46][1700/2353] lr: 1.969e-02, eta: 1 day, 5:21:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9800, loss_cls: 2.8961, loss: 2.8961 +2025-06-03 11:38:40,063 - pyskl - INFO - Epoch [46][1800/2353] lr: 1.968e-02, eta: 1 day, 5:20:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9831, loss_cls: 3.0046, loss: 3.0046 +2025-06-03 11:39:23,231 - pyskl - INFO - Epoch [46][1900/2353] lr: 1.968e-02, eta: 1 day, 5:19:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9769, loss_cls: 2.8388, loss: 2.8388 +2025-06-03 11:40:06,550 - pyskl - INFO - Epoch [46][2000/2353] lr: 1.967e-02, eta: 1 day, 5:19:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8344, top5_acc: 0.9706, loss_cls: 3.0092, loss: 3.0092 +2025-06-03 11:40:49,738 - pyskl - INFO - Epoch [46][2100/2353] lr: 1.966e-02, eta: 1 day, 5:18:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9750, loss_cls: 2.9184, loss: 2.9184 +2025-06-03 11:41:33,036 - pyskl - INFO - Epoch [46][2200/2353] lr: 1.965e-02, eta: 1 day, 5:17:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9819, loss_cls: 2.9548, loss: 2.9548 +2025-06-03 11:42:16,105 - pyskl - INFO - Epoch [46][2300/2353] lr: 1.964e-02, eta: 1 day, 5:17:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9806, loss_cls: 2.9817, loss: 2.9817 +2025-06-03 11:42:39,428 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-06-03 11:44:03,840 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 11:44:03,915 - pyskl - INFO - +top1_acc 0.8681 +top5_acc 0.9851 +2025-06-03 11:44:03,919 - pyskl - INFO - Epoch(val) [46][1184] top1_acc: 0.8681, top5_acc: 0.9851 +2025-06-03 11:45:07,247 - pyskl - INFO - Epoch [47][100/2353] lr: 1.962e-02, eta: 1 day, 5:15:54, time: 0.633, data_time: 0.200, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9819, loss_cls: 2.9077, loss: 2.9077 +2025-06-03 11:45:50,422 - pyskl - INFO - Epoch [47][200/2353] lr: 1.962e-02, eta: 1 day, 5:15:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9756, loss_cls: 2.8771, loss: 2.8771 +2025-06-03 11:46:33,514 - pyskl - INFO - Epoch [47][300/2353] lr: 1.961e-02, eta: 1 day, 5:14:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9775, loss_cls: 2.9354, loss: 2.9354 +2025-06-03 11:47:16,615 - pyskl - INFO - Epoch [47][400/2353] lr: 1.960e-02, eta: 1 day, 5:13:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9800, loss_cls: 2.9440, loss: 2.9440 +2025-06-03 11:47:59,781 - pyskl - INFO - Epoch [47][500/2353] lr: 1.959e-02, eta: 1 day, 5:13:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8363, top5_acc: 0.9731, loss_cls: 2.9233, loss: 2.9233 +2025-06-03 11:48:42,647 - pyskl - INFO - Epoch [47][600/2353] lr: 1.958e-02, eta: 1 day, 5:12:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9825, loss_cls: 2.8555, loss: 2.8555 +2025-06-03 11:49:25,736 - pyskl - INFO - Epoch [47][700/2353] lr: 1.957e-02, eta: 1 day, 5:11:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9750, loss_cls: 2.9702, loss: 2.9702 +2025-06-03 11:50:08,852 - pyskl - INFO - Epoch [47][800/2353] lr: 1.956e-02, eta: 1 day, 5:10:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9775, loss_cls: 2.9052, loss: 2.9052 +2025-06-03 11:50:51,902 - pyskl - INFO - Epoch [47][900/2353] lr: 1.955e-02, eta: 1 day, 5:10:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9750, loss_cls: 2.8531, loss: 2.8531 +2025-06-03 11:51:34,979 - pyskl - INFO - Epoch [47][1000/2353] lr: 1.954e-02, eta: 1 day, 5:09:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9781, loss_cls: 2.9197, loss: 2.9197 +2025-06-03 11:52:18,059 - pyskl - INFO - Epoch [47][1100/2353] lr: 1.953e-02, eta: 1 day, 5:08:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9794, loss_cls: 2.8186, loss: 2.8186 +2025-06-03 11:53:01,264 - pyskl - INFO - Epoch [47][1200/2353] lr: 1.952e-02, eta: 1 day, 5:08:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9788, loss_cls: 2.8541, loss: 2.8541 +2025-06-03 11:53:44,404 - pyskl - INFO - Epoch [47][1300/2353] lr: 1.951e-02, eta: 1 day, 5:07:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9725, loss_cls: 3.0280, loss: 3.0280 +2025-06-03 11:54:27,471 - pyskl - INFO - Epoch [47][1400/2353] lr: 1.951e-02, eta: 1 day, 5:06:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9831, loss_cls: 2.8730, loss: 2.8730 +2025-06-03 11:55:10,586 - pyskl - INFO - Epoch [47][1500/2353] lr: 1.950e-02, eta: 1 day, 5:05:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8313, top5_acc: 0.9725, loss_cls: 2.9761, loss: 2.9761 +2025-06-03 11:55:53,679 - pyskl - INFO - Epoch [47][1600/2353] lr: 1.949e-02, eta: 1 day, 5:05:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9756, loss_cls: 2.9574, loss: 2.9574 +2025-06-03 11:56:36,764 - pyskl - INFO - Epoch [47][1700/2353] lr: 1.948e-02, eta: 1 day, 5:04:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9744, loss_cls: 2.9505, loss: 2.9505 +2025-06-03 11:57:19,846 - pyskl - INFO - Epoch [47][1800/2353] lr: 1.947e-02, eta: 1 day, 5:03:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9769, loss_cls: 2.9716, loss: 2.9716 +2025-06-03 11:58:02,937 - pyskl - INFO - Epoch [47][1900/2353] lr: 1.946e-02, eta: 1 day, 5:02:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9681, loss_cls: 2.9497, loss: 2.9497 +2025-06-03 11:58:46,336 - pyskl - INFO - Epoch [47][2000/2353] lr: 1.945e-02, eta: 1 day, 5:02:17, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8250, top5_acc: 0.9725, loss_cls: 3.0252, loss: 3.0252 +2025-06-03 11:59:29,548 - pyskl - INFO - Epoch [47][2100/2353] lr: 1.944e-02, eta: 1 day, 5:01:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9762, loss_cls: 2.9154, loss: 2.9154 +2025-06-03 12:00:12,839 - pyskl - INFO - Epoch [47][2200/2353] lr: 1.943e-02, eta: 1 day, 5:00:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9706, loss_cls: 2.9294, loss: 2.9294 +2025-06-03 12:00:55,927 - pyskl - INFO - Epoch [47][2300/2353] lr: 1.942e-02, eta: 1 day, 5:00:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9725, loss_cls: 2.8153, loss: 2.8153 +2025-06-03 12:01:19,372 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-06-03 12:02:44,255 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:02:44,331 - pyskl - INFO - +top1_acc 0.8667 +top5_acc 0.9886 +2025-06-03 12:02:44,334 - pyskl - INFO - Epoch(val) [47][1184] top1_acc: 0.8667, top5_acc: 0.9886 +2025-06-03 12:03:47,674 - pyskl - INFO - Epoch [48][100/2353] lr: 1.941e-02, eta: 1 day, 4:58:57, time: 0.633, data_time: 0.202, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9888, loss_cls: 2.9146, loss: 2.9146 +2025-06-03 12:04:30,798 - pyskl - INFO - Epoch [48][200/2353] lr: 1.940e-02, eta: 1 day, 4:58:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9756, loss_cls: 2.9438, loss: 2.9438 +2025-06-03 12:05:13,881 - pyskl - INFO - Epoch [48][300/2353] lr: 1.939e-02, eta: 1 day, 4:57:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9762, loss_cls: 2.8256, loss: 2.8256 +2025-06-03 12:05:57,027 - pyskl - INFO - Epoch [48][400/2353] lr: 1.938e-02, eta: 1 day, 4:56:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9838, loss_cls: 2.9516, loss: 2.9516 +2025-06-03 12:06:40,117 - pyskl - INFO - Epoch [48][500/2353] lr: 1.937e-02, eta: 1 day, 4:56:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9856, loss_cls: 2.8210, loss: 2.8210 +2025-06-03 12:07:23,194 - pyskl - INFO - Epoch [48][600/2353] lr: 1.936e-02, eta: 1 day, 4:55:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9706, loss_cls: 2.9435, loss: 2.9435 +2025-06-03 12:08:06,465 - pyskl - INFO - Epoch [48][700/2353] lr: 1.935e-02, eta: 1 day, 4:54:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9781, loss_cls: 2.8554, loss: 2.8554 +2025-06-03 12:08:49,719 - pyskl - INFO - Epoch [48][800/2353] lr: 1.934e-02, eta: 1 day, 4:53:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9744, loss_cls: 2.8182, loss: 2.8182 +2025-06-03 12:09:32,954 - pyskl - INFO - Epoch [48][900/2353] lr: 1.933e-02, eta: 1 day, 4:53:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9788, loss_cls: 2.8074, loss: 2.8074 +2025-06-03 12:10:16,047 - pyskl - INFO - Epoch [48][1000/2353] lr: 1.932e-02, eta: 1 day, 4:52:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9838, loss_cls: 2.8926, loss: 2.8926 +2025-06-03 12:10:59,145 - pyskl - INFO - Epoch [48][1100/2353] lr: 1.932e-02, eta: 1 day, 4:51:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8369, top5_acc: 0.9738, loss_cls: 2.9084, loss: 2.9084 +2025-06-03 12:11:42,311 - pyskl - INFO - Epoch [48][1200/2353] lr: 1.931e-02, eta: 1 day, 4:51:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9712, loss_cls: 2.9569, loss: 2.9569 +2025-06-03 12:12:25,472 - pyskl - INFO - Epoch [48][1300/2353] lr: 1.930e-02, eta: 1 day, 4:50:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 2.8540, loss: 2.8540 +2025-06-03 12:13:08,643 - pyskl - INFO - Epoch [48][1400/2353] lr: 1.929e-02, eta: 1 day, 4:49:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 2.8443, loss: 2.8443 +2025-06-03 12:13:51,795 - pyskl - INFO - Epoch [48][1500/2353] lr: 1.928e-02, eta: 1 day, 4:48:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9725, loss_cls: 2.9963, loss: 2.9963 +2025-06-03 12:14:34,950 - pyskl - INFO - Epoch [48][1600/2353] lr: 1.927e-02, eta: 1 day, 4:48:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9762, loss_cls: 2.9565, loss: 2.9565 +2025-06-03 12:15:18,020 - pyskl - INFO - Epoch [48][1700/2353] lr: 1.926e-02, eta: 1 day, 4:47:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9781, loss_cls: 2.9227, loss: 2.9227 +2025-06-03 12:16:01,085 - pyskl - INFO - Epoch [48][1800/2353] lr: 1.925e-02, eta: 1 day, 4:46:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9750, loss_cls: 2.9600, loss: 2.9600 +2025-06-03 12:16:44,244 - pyskl - INFO - Epoch [48][1900/2353] lr: 1.924e-02, eta: 1 day, 4:46:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9788, loss_cls: 2.9216, loss: 2.9216 +2025-06-03 12:17:27,439 - pyskl - INFO - Epoch [48][2000/2353] lr: 1.923e-02, eta: 1 day, 4:45:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9775, loss_cls: 3.0081, loss: 3.0081 +2025-06-03 12:18:10,638 - pyskl - INFO - Epoch [48][2100/2353] lr: 1.922e-02, eta: 1 day, 4:44:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9806, loss_cls: 2.8259, loss: 2.8259 +2025-06-03 12:18:53,718 - pyskl - INFO - Epoch [48][2200/2353] lr: 1.921e-02, eta: 1 day, 4:43:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9869, loss_cls: 2.9119, loss: 2.9119 +2025-06-03 12:19:36,907 - pyskl - INFO - Epoch [48][2300/2353] lr: 1.920e-02, eta: 1 day, 4:43:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9750, loss_cls: 2.9186, loss: 2.9186 +2025-06-03 12:20:00,277 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-06-03 12:21:25,010 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:21:25,087 - pyskl - INFO - +top1_acc 0.8873 +top5_acc 0.9895 +2025-06-03 12:21:25,154 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_45.pth was removed +2025-06-03 12:21:26,240 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_48.pth. +2025-06-03 12:21:26,241 - pyskl - INFO - Best top1_acc is 0.8873 at 48 epoch. +2025-06-03 12:21:26,244 - pyskl - INFO - Epoch(val) [48][1184] top1_acc: 0.8873, top5_acc: 0.9895 +2025-06-03 12:22:30,455 - pyskl - INFO - Epoch [49][100/2353] lr: 1.919e-02, eta: 1 day, 4:42:04, time: 0.642, data_time: 0.206, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9769, loss_cls: 2.9134, loss: 2.9134 +2025-06-03 12:23:13,918 - pyskl - INFO - Epoch [49][200/2353] lr: 1.918e-02, eta: 1 day, 4:41:22, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9812, loss_cls: 2.9189, loss: 2.9189 +2025-06-03 12:23:57,111 - pyskl - INFO - Epoch [49][300/2353] lr: 1.917e-02, eta: 1 day, 4:40:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9844, loss_cls: 2.8962, loss: 2.8962 +2025-06-03 12:24:40,147 - pyskl - INFO - Epoch [49][400/2353] lr: 1.916e-02, eta: 1 day, 4:39:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9825, loss_cls: 2.9285, loss: 2.9285 +2025-06-03 12:25:23,254 - pyskl - INFO - Epoch [49][500/2353] lr: 1.915e-02, eta: 1 day, 4:39:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 2.8838, loss: 2.8838 +2025-06-03 12:26:06,354 - pyskl - INFO - Epoch [49][600/2353] lr: 1.914e-02, eta: 1 day, 4:38:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9744, loss_cls: 2.9581, loss: 2.9581 +2025-06-03 12:26:49,321 - pyskl - INFO - Epoch [49][700/2353] lr: 1.913e-02, eta: 1 day, 4:37:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9775, loss_cls: 2.9733, loss: 2.9733 +2025-06-03 12:27:32,391 - pyskl - INFO - Epoch [49][800/2353] lr: 1.912e-02, eta: 1 day, 4:37:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9856, loss_cls: 2.8919, loss: 2.8919 +2025-06-03 12:28:15,351 - pyskl - INFO - Epoch [49][900/2353] lr: 1.911e-02, eta: 1 day, 4:36:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9838, loss_cls: 2.7903, loss: 2.7903 +2025-06-03 12:28:57,872 - pyskl - INFO - Epoch [49][1000/2353] lr: 1.910e-02, eta: 1 day, 4:35:36, time: 0.425, data_time: 0.000, memory: 13127, top1_acc: 0.8356, top5_acc: 0.9750, loss_cls: 2.8527, loss: 2.8527 +2025-06-03 12:29:40,751 - pyskl - INFO - Epoch [49][1100/2353] lr: 1.909e-02, eta: 1 day, 4:34:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9744, loss_cls: 2.9741, loss: 2.9741 +2025-06-03 12:30:23,711 - pyskl - INFO - Epoch [49][1200/2353] lr: 1.908e-02, eta: 1 day, 4:34:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9756, loss_cls: 2.9303, loss: 2.9303 +2025-06-03 12:31:06,952 - pyskl - INFO - Epoch [49][1300/2353] lr: 1.908e-02, eta: 1 day, 4:33:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8438, top5_acc: 0.9769, loss_cls: 2.9752, loss: 2.9752 +2025-06-03 12:31:50,067 - pyskl - INFO - Epoch [49][1400/2353] lr: 1.907e-02, eta: 1 day, 4:32:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 2.8928, loss: 2.8928 +2025-06-03 12:32:33,076 - pyskl - INFO - Epoch [49][1500/2353] lr: 1.906e-02, eta: 1 day, 4:32:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9781, loss_cls: 2.8634, loss: 2.8634 +2025-06-03 12:33:16,083 - pyskl - INFO - Epoch [49][1600/2353] lr: 1.905e-02, eta: 1 day, 4:31:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9806, loss_cls: 2.9698, loss: 2.9698 +2025-06-03 12:33:59,081 - pyskl - INFO - Epoch [49][1700/2353] lr: 1.904e-02, eta: 1 day, 4:30:34, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9838, loss_cls: 2.9934, loss: 2.9934 +2025-06-03 12:34:42,083 - pyskl - INFO - Epoch [49][1800/2353] lr: 1.903e-02, eta: 1 day, 4:29:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9800, loss_cls: 2.8806, loss: 2.8806 +2025-06-03 12:35:25,208 - pyskl - INFO - Epoch [49][1900/2353] lr: 1.902e-02, eta: 1 day, 4:29:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9819, loss_cls: 2.8529, loss: 2.8529 +2025-06-03 12:36:08,275 - pyskl - INFO - Epoch [49][2000/2353] lr: 1.901e-02, eta: 1 day, 4:28:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9738, loss_cls: 2.9943, loss: 2.9943 +2025-06-03 12:36:51,746 - pyskl - INFO - Epoch [49][2100/2353] lr: 1.900e-02, eta: 1 day, 4:27:42, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9800, loss_cls: 2.9434, loss: 2.9434 +2025-06-03 12:37:34,797 - pyskl - INFO - Epoch [49][2200/2353] lr: 1.899e-02, eta: 1 day, 4:26:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8325, top5_acc: 0.9794, loss_cls: 2.9286, loss: 2.9286 +2025-06-03 12:38:17,739 - pyskl - INFO - Epoch [49][2300/2353] lr: 1.898e-02, eta: 1 day, 4:26:16, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8294, top5_acc: 0.9725, loss_cls: 3.0334, loss: 3.0334 +2025-06-03 12:38:41,180 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-06-03 12:40:06,074 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 12:40:06,151 - pyskl - INFO - +top1_acc 0.8861 +top5_acc 0.9897 +2025-06-03 12:40:06,154 - pyskl - INFO - Epoch(val) [49][1184] top1_acc: 0.8861, top5_acc: 0.9897 +2025-06-03 12:41:09,754 - pyskl - INFO - Epoch [50][100/2353] lr: 1.897e-02, eta: 1 day, 4:25:05, time: 0.636, data_time: 0.203, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9831, loss_cls: 2.8438, loss: 2.8438 +2025-06-03 12:41:52,999 - pyskl - INFO - Epoch [50][200/2353] lr: 1.896e-02, eta: 1 day, 4:24:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9762, loss_cls: 2.8069, loss: 2.8069 +2025-06-03 12:42:36,157 - pyskl - INFO - Epoch [50][300/2353] lr: 1.895e-02, eta: 1 day, 4:23:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9800, loss_cls: 2.8828, loss: 2.8828 +2025-06-03 12:43:19,306 - pyskl - INFO - Epoch [50][400/2353] lr: 1.894e-02, eta: 1 day, 4:22:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9825, loss_cls: 2.8444, loss: 2.8444 +2025-06-03 12:44:02,361 - pyskl - INFO - Epoch [50][500/2353] lr: 1.893e-02, eta: 1 day, 4:22:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9788, loss_cls: 2.8303, loss: 2.8303 +2025-06-03 12:44:45,448 - pyskl - INFO - Epoch [50][600/2353] lr: 1.892e-02, eta: 1 day, 4:21:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9781, loss_cls: 2.8914, loss: 2.8914 +2025-06-03 12:45:28,536 - pyskl - INFO - Epoch [50][700/2353] lr: 1.891e-02, eta: 1 day, 4:20:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9738, loss_cls: 2.9059, loss: 2.9059 +2025-06-03 12:46:11,659 - pyskl - INFO - Epoch [50][800/2353] lr: 1.890e-02, eta: 1 day, 4:20:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9762, loss_cls: 2.8015, loss: 2.8015 +2025-06-03 12:46:54,792 - pyskl - INFO - Epoch [50][900/2353] lr: 1.889e-02, eta: 1 day, 4:19:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8200, top5_acc: 0.9819, loss_cls: 3.0105, loss: 3.0105 +2025-06-03 12:47:38,001 - pyskl - INFO - Epoch [50][1000/2353] lr: 1.888e-02, eta: 1 day, 4:18:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9806, loss_cls: 2.8560, loss: 2.8560 +2025-06-03 12:48:21,022 - pyskl - INFO - Epoch [50][1100/2353] lr: 1.887e-02, eta: 1 day, 4:17:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9831, loss_cls: 2.8460, loss: 2.8460 +2025-06-03 12:49:04,110 - pyskl - INFO - Epoch [50][1200/2353] lr: 1.886e-02, eta: 1 day, 4:17:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9781, loss_cls: 2.8840, loss: 2.8840 +2025-06-03 12:49:47,193 - pyskl - INFO - Epoch [50][1300/2353] lr: 1.885e-02, eta: 1 day, 4:16:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8300, top5_acc: 0.9756, loss_cls: 3.0649, loss: 3.0649 +2025-06-03 12:50:30,231 - pyskl - INFO - Epoch [50][1400/2353] lr: 1.884e-02, eta: 1 day, 4:15:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9850, loss_cls: 2.8707, loss: 2.8707 +2025-06-03 12:51:13,298 - pyskl - INFO - Epoch [50][1500/2353] lr: 1.883e-02, eta: 1 day, 4:15:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9781, loss_cls: 3.0162, loss: 3.0162 +2025-06-03 12:51:56,382 - pyskl - INFO - Epoch [50][1600/2353] lr: 1.882e-02, eta: 1 day, 4:14:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9756, loss_cls: 2.9973, loss: 2.9973 +2025-06-03 12:52:39,502 - pyskl - INFO - Epoch [50][1700/2353] lr: 1.881e-02, eta: 1 day, 4:13:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 2.9394, loss: 2.9394 +2025-06-03 12:53:22,561 - pyskl - INFO - Epoch [50][1800/2353] lr: 1.880e-02, eta: 1 day, 4:12:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 2.7491, loss: 2.7491 +2025-06-03 12:54:05,809 - pyskl - INFO - Epoch [50][1900/2353] lr: 1.879e-02, eta: 1 day, 4:12:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9825, loss_cls: 2.9233, loss: 2.9233 +2025-06-03 12:54:49,144 - pyskl - INFO - Epoch [50][2000/2353] lr: 1.878e-02, eta: 1 day, 4:11:29, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8406, top5_acc: 0.9769, loss_cls: 2.9689, loss: 2.9689 +2025-06-03 12:55:32,562 - pyskl - INFO - Epoch [50][2100/2353] lr: 1.877e-02, eta: 1 day, 4:10:47, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9862, loss_cls: 2.7991, loss: 2.7991 +2025-06-03 12:56:15,570 - pyskl - INFO - Epoch [50][2200/2353] lr: 1.876e-02, eta: 1 day, 4:10:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9875, loss_cls: 2.8054, loss: 2.8054 +2025-06-03 12:56:58,629 - pyskl - INFO - Epoch [50][2300/2353] lr: 1.876e-02, eta: 1 day, 4:09:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9800, loss_cls: 2.8138, loss: 2.8138 +2025-06-03 12:57:22,004 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-06-03 13:06:01,724 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 13:06:01,800 - pyskl - INFO - +top1_acc 0.9070 +top5_acc 0.9913 +2025-06-03 13:06:01,856 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_48.pth was removed +2025-06-03 13:06:02,899 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_50.pth. +2025-06-03 13:06:02,900 - pyskl - INFO - Best top1_acc is 0.9070 at 50 epoch. +2025-06-03 13:06:02,903 - pyskl - INFO - Epoch(val) [50][1184] top1_acc: 0.9070, top5_acc: 0.9913 +2025-06-03 13:07:06,477 - pyskl - INFO - Epoch [51][100/2353] lr: 1.874e-02, eta: 1 day, 4:08:10, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9788, loss_cls: 2.8391, loss: 2.8391 +2025-06-03 13:07:49,493 - pyskl - INFO - Epoch [51][200/2353] lr: 1.873e-02, eta: 1 day, 4:07:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 2.7339, loss: 2.7339 +2025-06-03 13:08:32,582 - pyskl - INFO - Epoch [51][300/2353] lr: 1.872e-02, eta: 1 day, 4:06:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9831, loss_cls: 2.9592, loss: 2.9592 +2025-06-03 13:09:15,639 - pyskl - INFO - Epoch [51][400/2353] lr: 1.871e-02, eta: 1 day, 4:06:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9862, loss_cls: 2.8240, loss: 2.8240 +2025-06-03 13:09:58,809 - pyskl - INFO - Epoch [51][500/2353] lr: 1.870e-02, eta: 1 day, 4:05:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9875, loss_cls: 2.6931, loss: 2.6931 +2025-06-03 13:10:41,896 - pyskl - INFO - Epoch [51][600/2353] lr: 1.869e-02, eta: 1 day, 4:04:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9800, loss_cls: 2.9131, loss: 2.9131 +2025-06-03 13:11:24,960 - pyskl - INFO - Epoch [51][700/2353] lr: 1.868e-02, eta: 1 day, 4:03:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9831, loss_cls: 2.8455, loss: 2.8455 +2025-06-03 13:12:07,955 - pyskl - INFO - Epoch [51][800/2353] lr: 1.867e-02, eta: 1 day, 4:03:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9781, loss_cls: 2.9677, loss: 2.9677 +2025-06-03 13:12:51,030 - pyskl - INFO - Epoch [51][900/2353] lr: 1.866e-02, eta: 1 day, 4:02:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9781, loss_cls: 2.8990, loss: 2.8990 +2025-06-03 13:13:34,151 - pyskl - INFO - Epoch [51][1000/2353] lr: 1.865e-02, eta: 1 day, 4:01:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9788, loss_cls: 2.9167, loss: 2.9167 +2025-06-03 13:14:17,313 - pyskl - INFO - Epoch [51][1100/2353] lr: 1.864e-02, eta: 1 day, 4:01:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9806, loss_cls: 2.8993, loss: 2.8993 +2025-06-03 13:15:00,391 - pyskl - INFO - Epoch [51][1200/2353] lr: 1.863e-02, eta: 1 day, 4:00:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 2.8559, loss: 2.8559 +2025-06-03 13:15:43,558 - pyskl - INFO - Epoch [51][1300/2353] lr: 1.862e-02, eta: 1 day, 3:59:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8431, top5_acc: 0.9800, loss_cls: 2.9038, loss: 2.9038 +2025-06-03 13:16:26,707 - pyskl - INFO - Epoch [51][1400/2353] lr: 1.861e-02, eta: 1 day, 3:58:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9812, loss_cls: 2.9833, loss: 2.9833 +2025-06-03 13:17:09,991 - pyskl - INFO - Epoch [51][1500/2353] lr: 1.861e-02, eta: 1 day, 3:58:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9825, loss_cls: 2.8985, loss: 2.8985 +2025-06-03 13:17:53,199 - pyskl - INFO - Epoch [51][1600/2353] lr: 1.860e-02, eta: 1 day, 3:57:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9762, loss_cls: 2.8820, loss: 2.8820 +2025-06-03 13:18:36,424 - pyskl - INFO - Epoch [51][1700/2353] lr: 1.859e-02, eta: 1 day, 3:56:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8331, top5_acc: 0.9788, loss_cls: 2.8899, loss: 2.8899 +2025-06-03 13:19:19,618 - pyskl - INFO - Epoch [51][1800/2353] lr: 1.858e-02, eta: 1 day, 3:56:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9794, loss_cls: 2.9662, loss: 2.9662 +2025-06-03 13:20:02,812 - pyskl - INFO - Epoch [51][1900/2353] lr: 1.857e-02, eta: 1 day, 3:55:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9838, loss_cls: 2.9041, loss: 2.9041 +2025-06-03 13:20:46,082 - pyskl - INFO - Epoch [51][2000/2353] lr: 1.856e-02, eta: 1 day, 3:54:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 2.9069, loss: 2.9069 +2025-06-03 13:21:29,379 - pyskl - INFO - Epoch [51][2100/2353] lr: 1.855e-02, eta: 1 day, 3:53:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9806, loss_cls: 2.8077, loss: 2.8077 +2025-06-03 13:22:12,678 - pyskl - INFO - Epoch [51][2200/2353] lr: 1.854e-02, eta: 1 day, 3:53:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9750, loss_cls: 2.9458, loss: 2.9458 +2025-06-03 13:22:55,832 - pyskl - INFO - Epoch [51][2300/2353] lr: 1.853e-02, eta: 1 day, 3:52:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9756, loss_cls: 2.8808, loss: 2.8808 +2025-06-03 13:23:19,311 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-06-03 13:24:44,551 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 13:24:44,625 - pyskl - INFO - +top1_acc 0.8524 +top5_acc 0.9825 +2025-06-03 13:24:44,628 - pyskl - INFO - Epoch(val) [51][1184] top1_acc: 0.8524, top5_acc: 0.9825 +2025-06-03 13:25:47,622 - pyskl - INFO - Epoch [52][100/2353] lr: 1.851e-02, eta: 1 day, 3:51:15, time: 0.630, data_time: 0.199, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9862, loss_cls: 2.8068, loss: 2.8068 +2025-06-03 13:26:30,674 - pyskl - INFO - Epoch [52][200/2353] lr: 1.850e-02, eta: 1 day, 3:50:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9812, loss_cls: 2.8141, loss: 2.8141 +2025-06-03 13:27:13,865 - pyskl - INFO - Epoch [52][300/2353] lr: 1.849e-02, eta: 1 day, 3:49:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9856, loss_cls: 2.7512, loss: 2.7512 +2025-06-03 13:27:57,131 - pyskl - INFO - Epoch [52][400/2353] lr: 1.848e-02, eta: 1 day, 3:49:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9762, loss_cls: 2.8926, loss: 2.8926 +2025-06-03 13:28:40,234 - pyskl - INFO - Epoch [52][500/2353] lr: 1.847e-02, eta: 1 day, 3:48:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 2.8235, loss: 2.8235 +2025-06-03 13:29:23,174 - pyskl - INFO - Epoch [52][600/2353] lr: 1.846e-02, eta: 1 day, 3:47:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9744, loss_cls: 2.8492, loss: 2.8492 +2025-06-03 13:30:06,138 - pyskl - INFO - Epoch [52][700/2353] lr: 1.845e-02, eta: 1 day, 3:46:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8394, top5_acc: 0.9769, loss_cls: 2.9423, loss: 2.9423 +2025-06-03 13:30:49,116 - pyskl - INFO - Epoch [52][800/2353] lr: 1.844e-02, eta: 1 day, 3:46:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9838, loss_cls: 2.8623, loss: 2.8623 +2025-06-03 13:31:32,092 - pyskl - INFO - Epoch [52][900/2353] lr: 1.843e-02, eta: 1 day, 3:45:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9762, loss_cls: 2.8521, loss: 2.8521 +2025-06-03 13:32:15,302 - pyskl - INFO - Epoch [52][1000/2353] lr: 1.842e-02, eta: 1 day, 3:44:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8387, top5_acc: 0.9738, loss_cls: 2.9856, loss: 2.9856 +2025-06-03 13:32:58,465 - pyskl - INFO - Epoch [52][1100/2353] lr: 1.841e-02, eta: 1 day, 3:44:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9806, loss_cls: 2.8805, loss: 2.8805 +2025-06-03 13:33:41,626 - pyskl - INFO - Epoch [52][1200/2353] lr: 1.840e-02, eta: 1 day, 3:43:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8400, top5_acc: 0.9756, loss_cls: 2.9416, loss: 2.9416 +2025-06-03 13:34:24,807 - pyskl - INFO - Epoch [52][1300/2353] lr: 1.839e-02, eta: 1 day, 3:42:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8375, top5_acc: 0.9769, loss_cls: 2.9088, loss: 2.9088 +2025-06-03 13:35:07,875 - pyskl - INFO - Epoch [52][1400/2353] lr: 1.839e-02, eta: 1 day, 3:41:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8319, top5_acc: 0.9719, loss_cls: 3.0610, loss: 3.0610 +2025-06-03 13:35:50,928 - pyskl - INFO - Epoch [52][1500/2353] lr: 1.838e-02, eta: 1 day, 3:41:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9750, loss_cls: 2.8222, loss: 2.8222 +2025-06-03 13:36:33,974 - pyskl - INFO - Epoch [52][1600/2353] lr: 1.837e-02, eta: 1 day, 3:40:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9844, loss_cls: 2.9317, loss: 2.9317 +2025-06-03 13:37:16,973 - pyskl - INFO - Epoch [52][1700/2353] lr: 1.836e-02, eta: 1 day, 3:39:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9806, loss_cls: 2.8657, loss: 2.8657 +2025-06-03 13:37:59,939 - pyskl - INFO - Epoch [52][1800/2353] lr: 1.835e-02, eta: 1 day, 3:39:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 2.7275, loss: 2.7275 +2025-06-03 13:38:43,052 - pyskl - INFO - Epoch [52][1900/2353] lr: 1.834e-02, eta: 1 day, 3:38:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 2.8750, loss: 2.8750 +2025-06-03 13:39:26,080 - pyskl - INFO - Epoch [52][2000/2353] lr: 1.833e-02, eta: 1 day, 3:37:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9756, loss_cls: 2.8949, loss: 2.8949 +2025-06-03 13:40:09,042 - pyskl - INFO - Epoch [52][2100/2353] lr: 1.832e-02, eta: 1 day, 3:36:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9806, loss_cls: 2.8780, loss: 2.8780 +2025-06-03 13:40:52,090 - pyskl - INFO - Epoch [52][2200/2353] lr: 1.831e-02, eta: 1 day, 3:36:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9756, loss_cls: 2.9035, loss: 2.9035 +2025-06-03 13:41:35,031 - pyskl - INFO - Epoch [52][2300/2353] lr: 1.830e-02, eta: 1 day, 3:35:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9769, loss_cls: 2.9226, loss: 2.9226 +2025-06-03 13:41:58,420 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-06-03 13:43:23,309 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 13:43:23,385 - pyskl - INFO - +top1_acc 0.7654 +top5_acc 0.9646 +2025-06-03 13:43:23,388 - pyskl - INFO - Epoch(val) [52][1184] top1_acc: 0.7654, top5_acc: 0.9646 +2025-06-03 13:44:27,139 - pyskl - INFO - Epoch [53][100/2353] lr: 1.828e-02, eta: 1 day, 3:34:17, time: 0.637, data_time: 0.204, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 2.8015, loss: 2.8015 +2025-06-03 13:45:10,395 - pyskl - INFO - Epoch [53][200/2353] lr: 1.827e-02, eta: 1 day, 3:33:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9788, loss_cls: 2.8908, loss: 2.8908 +2025-06-03 13:45:53,632 - pyskl - INFO - Epoch [53][300/2353] lr: 1.826e-02, eta: 1 day, 3:32:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 2.8297, loss: 2.8297 +2025-06-03 13:46:36,740 - pyskl - INFO - Epoch [53][400/2353] lr: 1.825e-02, eta: 1 day, 3:32:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9781, loss_cls: 2.8790, loss: 2.8790 +2025-06-03 13:47:19,859 - pyskl - INFO - Epoch [53][500/2353] lr: 1.824e-02, eta: 1 day, 3:31:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 2.8043, loss: 2.8043 +2025-06-03 13:48:02,996 - pyskl - INFO - Epoch [53][600/2353] lr: 1.823e-02, eta: 1 day, 3:30:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9762, loss_cls: 2.8919, loss: 2.8919 +2025-06-03 13:48:46,104 - pyskl - INFO - Epoch [53][700/2353] lr: 1.822e-02, eta: 1 day, 3:30:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9812, loss_cls: 2.8513, loss: 2.8513 +2025-06-03 13:49:29,367 - pyskl - INFO - Epoch [53][800/2353] lr: 1.821e-02, eta: 1 day, 3:29:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9875, loss_cls: 2.8027, loss: 2.8027 +2025-06-03 13:50:12,615 - pyskl - INFO - Epoch [53][900/2353] lr: 1.820e-02, eta: 1 day, 3:28:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 2.9241, loss: 2.9241 +2025-06-03 13:50:55,892 - pyskl - INFO - Epoch [53][1000/2353] lr: 1.819e-02, eta: 1 day, 3:27:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9806, loss_cls: 2.9232, loss: 2.9232 +2025-06-03 13:51:39,040 - pyskl - INFO - Epoch [53][1100/2353] lr: 1.818e-02, eta: 1 day, 3:27:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9806, loss_cls: 2.8506, loss: 2.8506 +2025-06-03 13:52:22,479 - pyskl - INFO - Epoch [53][1200/2353] lr: 1.817e-02, eta: 1 day, 3:26:27, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8425, top5_acc: 0.9800, loss_cls: 3.0240, loss: 3.0240 +2025-06-03 13:53:05,854 - pyskl - INFO - Epoch [53][1300/2353] lr: 1.816e-02, eta: 1 day, 3:25:44, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9825, loss_cls: 2.8408, loss: 2.8408 +2025-06-03 13:53:48,982 - pyskl - INFO - Epoch [53][1400/2353] lr: 1.815e-02, eta: 1 day, 3:25:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9738, loss_cls: 2.8843, loss: 2.8843 +2025-06-03 13:54:32,259 - pyskl - INFO - Epoch [53][1500/2353] lr: 1.814e-02, eta: 1 day, 3:24:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9800, loss_cls: 2.8718, loss: 2.8718 +2025-06-03 13:55:15,613 - pyskl - INFO - Epoch [53][1600/2353] lr: 1.813e-02, eta: 1 day, 3:23:36, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8419, top5_acc: 0.9856, loss_cls: 2.8982, loss: 2.8982 +2025-06-03 13:55:58,938 - pyskl - INFO - Epoch [53][1700/2353] lr: 1.812e-02, eta: 1 day, 3:22:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9700, loss_cls: 2.9624, loss: 2.9624 +2025-06-03 13:56:42,137 - pyskl - INFO - Epoch [53][1800/2353] lr: 1.811e-02, eta: 1 day, 3:22:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9812, loss_cls: 2.8199, loss: 2.8199 +2025-06-03 13:57:25,451 - pyskl - INFO - Epoch [53][1900/2353] lr: 1.810e-02, eta: 1 day, 3:21:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 2.8479, loss: 2.8479 +2025-06-03 13:58:08,786 - pyskl - INFO - Epoch [53][2000/2353] lr: 1.809e-02, eta: 1 day, 3:20:46, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9806, loss_cls: 2.8381, loss: 2.8381 +2025-06-03 13:58:51,815 - pyskl - INFO - Epoch [53][2100/2353] lr: 1.808e-02, eta: 1 day, 3:20:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9869, loss_cls: 2.8739, loss: 2.8739 +2025-06-03 13:59:34,922 - pyskl - INFO - Epoch [53][2200/2353] lr: 1.807e-02, eta: 1 day, 3:19:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9756, loss_cls: 2.8257, loss: 2.8257 +2025-06-03 14:00:18,090 - pyskl - INFO - Epoch [53][2300/2353] lr: 1.806e-02, eta: 1 day, 3:18:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9806, loss_cls: 2.8179, loss: 2.8179 +2025-06-03 14:00:41,509 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-06-03 14:02:06,141 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 14:02:06,216 - pyskl - INFO - +top1_acc 0.8933 +top5_acc 0.9915 +2025-06-03 14:02:06,220 - pyskl - INFO - Epoch(val) [53][1184] top1_acc: 0.8933, top5_acc: 0.9915 +2025-06-03 14:03:10,163 - pyskl - INFO - Epoch [54][100/2353] lr: 1.805e-02, eta: 1 day, 3:17:27, time: 0.639, data_time: 0.208, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9788, loss_cls: 2.8198, loss: 2.8198 +2025-06-03 14:03:53,357 - pyskl - INFO - Epoch [54][200/2353] lr: 1.804e-02, eta: 1 day, 3:16:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 2.7307, loss: 2.7307 +2025-06-03 14:04:36,517 - pyskl - INFO - Epoch [54][300/2353] lr: 1.803e-02, eta: 1 day, 3:16:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9844, loss_cls: 2.7231, loss: 2.7231 +2025-06-03 14:05:19,572 - pyskl - INFO - Epoch [54][400/2353] lr: 1.802e-02, eta: 1 day, 3:15:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9819, loss_cls: 2.8048, loss: 2.8048 +2025-06-03 14:06:02,634 - pyskl - INFO - Epoch [54][500/2353] lr: 1.801e-02, eta: 1 day, 3:14:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9794, loss_cls: 2.8681, loss: 2.8681 +2025-06-03 14:06:45,588 - pyskl - INFO - Epoch [54][600/2353] lr: 1.800e-02, eta: 1 day, 3:13:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 2.7565, loss: 2.7565 +2025-06-03 14:07:28,544 - pyskl - INFO - Epoch [54][700/2353] lr: 1.799e-02, eta: 1 day, 3:13:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9819, loss_cls: 2.8514, loss: 2.8514 +2025-06-03 14:08:11,497 - pyskl - INFO - Epoch [54][800/2353] lr: 1.798e-02, eta: 1 day, 3:12:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8456, top5_acc: 0.9775, loss_cls: 2.8589, loss: 2.8589 +2025-06-03 14:08:54,459 - pyskl - INFO - Epoch [54][900/2353] lr: 1.797e-02, eta: 1 day, 3:11:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9844, loss_cls: 2.8778, loss: 2.8778 +2025-06-03 14:09:37,611 - pyskl - INFO - Epoch [54][1000/2353] lr: 1.796e-02, eta: 1 day, 3:10:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9744, loss_cls: 2.8950, loss: 2.8950 +2025-06-03 14:10:20,632 - pyskl - INFO - Epoch [54][1100/2353] lr: 1.795e-02, eta: 1 day, 3:10:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 2.8614, loss: 2.8614 +2025-06-03 14:11:03,567 - pyskl - INFO - Epoch [54][1200/2353] lr: 1.794e-02, eta: 1 day, 3:09:33, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9794, loss_cls: 2.8454, loss: 2.8454 +2025-06-03 14:11:46,731 - pyskl - INFO - Epoch [54][1300/2353] lr: 1.793e-02, eta: 1 day, 3:08:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9750, loss_cls: 2.7976, loss: 2.7976 +2025-06-03 14:12:29,678 - pyskl - INFO - Epoch [54][1400/2353] lr: 1.792e-02, eta: 1 day, 3:08:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9812, loss_cls: 2.8630, loss: 2.8630 +2025-06-03 14:13:12,715 - pyskl - INFO - Epoch [54][1500/2353] lr: 1.791e-02, eta: 1 day, 3:07:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9844, loss_cls: 2.9155, loss: 2.9155 +2025-06-03 14:13:55,663 - pyskl - INFO - Epoch [54][1600/2353] lr: 1.790e-02, eta: 1 day, 3:06:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9800, loss_cls: 2.8533, loss: 2.8533 +2025-06-03 14:14:38,575 - pyskl - INFO - Epoch [54][1700/2353] lr: 1.789e-02, eta: 1 day, 3:05:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9775, loss_cls: 2.8081, loss: 2.8081 +2025-06-03 14:15:21,621 - pyskl - INFO - Epoch [54][1800/2353] lr: 1.788e-02, eta: 1 day, 3:05:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9806, loss_cls: 2.8071, loss: 2.8071 +2025-06-03 14:16:05,018 - pyskl - INFO - Epoch [54][1900/2353] lr: 1.787e-02, eta: 1 day, 3:04:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 2.8158, loss: 2.8158 +2025-06-03 14:16:48,229 - pyskl - INFO - Epoch [54][2000/2353] lr: 1.786e-02, eta: 1 day, 3:03:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9812, loss_cls: 2.8067, loss: 2.8067 +2025-06-03 14:17:31,312 - pyskl - INFO - Epoch [54][2100/2353] lr: 1.785e-02, eta: 1 day, 3:03:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9812, loss_cls: 2.8699, loss: 2.8699 +2025-06-03 14:18:14,264 - pyskl - INFO - Epoch [54][2200/2353] lr: 1.784e-02, eta: 1 day, 3:02:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9800, loss_cls: 2.8629, loss: 2.8629 +2025-06-03 14:18:57,261 - pyskl - INFO - Epoch [54][2300/2353] lr: 1.783e-02, eta: 1 day, 3:01:39, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9800, loss_cls: 2.8103, loss: 2.8103 +2025-06-03 14:19:20,607 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-06-03 14:20:45,523 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 14:20:45,597 - pyskl - INFO - +top1_acc 0.8574 +top5_acc 0.9884 +2025-06-03 14:20:45,600 - pyskl - INFO - Epoch(val) [54][1184] top1_acc: 0.8574, top5_acc: 0.9884 +2025-06-03 14:21:49,128 - pyskl - INFO - Epoch [55][100/2353] lr: 1.781e-02, eta: 1 day, 3:00:29, time: 0.635, data_time: 0.204, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9875, loss_cls: 2.7762, loss: 2.7762 +2025-06-03 14:22:32,210 - pyskl - INFO - Epoch [55][200/2353] lr: 1.780e-02, eta: 1 day, 2:59:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 2.7912, loss: 2.7912 +2025-06-03 14:23:15,301 - pyskl - INFO - Epoch [55][300/2353] lr: 1.779e-02, eta: 1 day, 2:59:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 2.8745, loss: 2.8745 +2025-06-03 14:23:58,407 - pyskl - INFO - Epoch [55][400/2353] lr: 1.778e-02, eta: 1 day, 2:58:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 2.8440, loss: 2.8440 +2025-06-03 14:24:41,525 - pyskl - INFO - Epoch [55][500/2353] lr: 1.777e-02, eta: 1 day, 2:57:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9769, loss_cls: 2.8171, loss: 2.8171 +2025-06-03 14:25:24,590 - pyskl - INFO - Epoch [55][600/2353] lr: 1.776e-02, eta: 1 day, 2:56:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9812, loss_cls: 2.7332, loss: 2.7332 +2025-06-03 14:26:07,790 - pyskl - INFO - Epoch [55][700/2353] lr: 1.775e-02, eta: 1 day, 2:56:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9806, loss_cls: 2.8348, loss: 2.8348 +2025-06-03 14:26:50,914 - pyskl - INFO - Epoch [55][800/2353] lr: 1.774e-02, eta: 1 day, 2:55:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9850, loss_cls: 2.7715, loss: 2.7715 +2025-06-03 14:27:33,946 - pyskl - INFO - Epoch [55][900/2353] lr: 1.773e-02, eta: 1 day, 2:54:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9819, loss_cls: 2.7914, loss: 2.7914 +2025-06-03 14:28:17,088 - pyskl - INFO - Epoch [55][1000/2353] lr: 1.772e-02, eta: 1 day, 2:54:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9775, loss_cls: 2.8940, loss: 2.8940 +2025-06-03 14:29:00,498 - pyskl - INFO - Epoch [55][1100/2353] lr: 1.771e-02, eta: 1 day, 2:53:20, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9856, loss_cls: 2.7706, loss: 2.7706 +2025-06-03 14:29:44,053 - pyskl - INFO - Epoch [55][1200/2353] lr: 1.770e-02, eta: 1 day, 2:52:37, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8469, top5_acc: 0.9794, loss_cls: 2.8741, loss: 2.8741 +2025-06-03 14:30:27,383 - pyskl - INFO - Epoch [55][1300/2353] lr: 1.769e-02, eta: 1 day, 2:51:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9806, loss_cls: 2.8249, loss: 2.8249 +2025-06-03 14:31:10,509 - pyskl - INFO - Epoch [55][1400/2353] lr: 1.768e-02, eta: 1 day, 2:51:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9838, loss_cls: 2.8295, loss: 2.8295 +2025-06-03 14:31:53,688 - pyskl - INFO - Epoch [55][1500/2353] lr: 1.767e-02, eta: 1 day, 2:50:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9762, loss_cls: 2.9107, loss: 2.9107 +2025-06-03 14:32:36,789 - pyskl - INFO - Epoch [55][1600/2353] lr: 1.766e-02, eta: 1 day, 2:49:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9706, loss_cls: 2.8866, loss: 2.8866 +2025-06-03 14:33:19,894 - pyskl - INFO - Epoch [55][1700/2353] lr: 1.765e-02, eta: 1 day, 2:49:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 2.8465, loss: 2.8465 +2025-06-03 14:34:02,921 - pyskl - INFO - Epoch [55][1800/2353] lr: 1.764e-02, eta: 1 day, 2:48:20, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9844, loss_cls: 2.6901, loss: 2.6901 +2025-06-03 14:34:45,973 - pyskl - INFO - Epoch [55][1900/2353] lr: 1.763e-02, eta: 1 day, 2:47:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9769, loss_cls: 2.8481, loss: 2.8481 +2025-06-03 14:35:29,030 - pyskl - INFO - Epoch [55][2000/2353] lr: 1.762e-02, eta: 1 day, 2:46:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 2.7306, loss: 2.7306 +2025-06-03 14:36:11,932 - pyskl - INFO - Epoch [55][2100/2353] lr: 1.761e-02, eta: 1 day, 2:46:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9825, loss_cls: 2.8511, loss: 2.8511 +2025-06-03 14:36:55,016 - pyskl - INFO - Epoch [55][2200/2353] lr: 1.760e-02, eta: 1 day, 2:45:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9806, loss_cls: 2.7989, loss: 2.7989 +2025-06-03 14:37:38,234 - pyskl - INFO - Epoch [55][2300/2353] lr: 1.759e-02, eta: 1 day, 2:44:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 2.8071, loss: 2.8071 +2025-06-03 14:38:01,733 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-06-03 14:46:58,657 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 14:46:58,732 - pyskl - INFO - +top1_acc 0.8902 +top5_acc 0.9895 +2025-06-03 14:46:58,736 - pyskl - INFO - Epoch(val) [55][1184] top1_acc: 0.8902, top5_acc: 0.9895 +2025-06-03 14:48:03,331 - pyskl - INFO - Epoch [56][100/2353] lr: 1.757e-02, eta: 1 day, 2:43:36, time: 0.646, data_time: 0.211, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9800, loss_cls: 2.6707, loss: 2.6707 +2025-06-03 14:48:46,618 - pyskl - INFO - Epoch [56][200/2353] lr: 1.756e-02, eta: 1 day, 2:42:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9862, loss_cls: 2.7752, loss: 2.7752 +2025-06-03 14:49:30,187 - pyskl - INFO - Epoch [56][300/2353] lr: 1.755e-02, eta: 1 day, 2:42:12, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 2.7881, loss: 2.7881 +2025-06-03 14:50:13,320 - pyskl - INFO - Epoch [56][400/2353] lr: 1.754e-02, eta: 1 day, 2:41:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 2.8281, loss: 2.8281 +2025-06-03 14:50:56,648 - pyskl - INFO - Epoch [56][500/2353] lr: 1.753e-02, eta: 1 day, 2:40:46, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9831, loss_cls: 2.7506, loss: 2.7506 +2025-06-03 14:51:39,842 - pyskl - INFO - Epoch [56][600/2353] lr: 1.752e-02, eta: 1 day, 2:40:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 2.8193, loss: 2.8193 +2025-06-03 14:52:23,052 - pyskl - INFO - Epoch [56][700/2353] lr: 1.751e-02, eta: 1 day, 2:39:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9788, loss_cls: 2.8158, loss: 2.8158 +2025-06-03 14:53:06,164 - pyskl - INFO - Epoch [56][800/2353] lr: 1.750e-02, eta: 1 day, 2:38:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9750, loss_cls: 2.8199, loss: 2.8199 +2025-06-03 14:53:49,313 - pyskl - INFO - Epoch [56][900/2353] lr: 1.749e-02, eta: 1 day, 2:37:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8488, top5_acc: 0.9812, loss_cls: 2.9021, loss: 2.9021 +2025-06-03 14:54:32,375 - pyskl - INFO - Epoch [56][1000/2353] lr: 1.748e-02, eta: 1 day, 2:37:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9781, loss_cls: 2.8190, loss: 2.8190 +2025-06-03 14:55:15,494 - pyskl - INFO - Epoch [56][1100/2353] lr: 1.747e-02, eta: 1 day, 2:36:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9806, loss_cls: 2.8397, loss: 2.8397 +2025-06-03 14:55:58,629 - pyskl - INFO - Epoch [56][1200/2353] lr: 1.746e-02, eta: 1 day, 2:35:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9762, loss_cls: 2.8237, loss: 2.8237 +2025-06-03 14:56:41,693 - pyskl - INFO - Epoch [56][1300/2353] lr: 1.745e-02, eta: 1 day, 2:35:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9850, loss_cls: 2.7826, loss: 2.7826 +2025-06-03 14:57:24,836 - pyskl - INFO - Epoch [56][1400/2353] lr: 1.744e-02, eta: 1 day, 2:34:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 2.7421, loss: 2.7421 +2025-06-03 14:58:07,959 - pyskl - INFO - Epoch [56][1500/2353] lr: 1.743e-02, eta: 1 day, 2:33:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9775, loss_cls: 2.8618, loss: 2.8618 +2025-06-03 14:58:51,151 - pyskl - INFO - Epoch [56][1600/2353] lr: 1.742e-02, eta: 1 day, 2:32:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 2.7307, loss: 2.7307 +2025-06-03 14:59:34,200 - pyskl - INFO - Epoch [56][1700/2353] lr: 1.741e-02, eta: 1 day, 2:32:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9806, loss_cls: 2.8478, loss: 2.8478 +2025-06-03 15:00:17,213 - pyskl - INFO - Epoch [56][1800/2353] lr: 1.740e-02, eta: 1 day, 2:31:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9756, loss_cls: 2.9162, loss: 2.9162 +2025-06-03 15:01:00,257 - pyskl - INFO - Epoch [56][1900/2353] lr: 1.739e-02, eta: 1 day, 2:30:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9775, loss_cls: 2.7311, loss: 2.7311 +2025-06-03 15:01:43,404 - pyskl - INFO - Epoch [56][2000/2353] lr: 1.738e-02, eta: 1 day, 2:30:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9794, loss_cls: 2.7451, loss: 2.7451 +2025-06-03 15:02:26,432 - pyskl - INFO - Epoch [56][2100/2353] lr: 1.737e-02, eta: 1 day, 2:29:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9769, loss_cls: 2.9026, loss: 2.9026 +2025-06-03 15:03:09,549 - pyskl - INFO - Epoch [56][2200/2353] lr: 1.736e-02, eta: 1 day, 2:28:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9844, loss_cls: 2.7535, loss: 2.7535 +2025-06-03 15:03:52,671 - pyskl - INFO - Epoch [56][2300/2353] lr: 1.735e-02, eta: 1 day, 2:27:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 2.8703, loss: 2.8703 +2025-06-03 15:04:16,072 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-06-03 15:05:41,546 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 15:05:41,621 - pyskl - INFO - +top1_acc 0.8943 +top5_acc 0.9907 +2025-06-03 15:05:41,624 - pyskl - INFO - Epoch(val) [56][1184] top1_acc: 0.8943, top5_acc: 0.9907 +2025-06-03 15:06:44,968 - pyskl - INFO - Epoch [57][100/2353] lr: 1.733e-02, eta: 1 day, 2:26:42, time: 0.633, data_time: 0.204, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9881, loss_cls: 2.7816, loss: 2.7816 +2025-06-03 15:07:28,006 - pyskl - INFO - Epoch [57][200/2353] lr: 1.732e-02, eta: 1 day, 2:25:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9812, loss_cls: 2.7603, loss: 2.7603 +2025-06-03 15:08:11,015 - pyskl - INFO - Epoch [57][300/2353] lr: 1.731e-02, eta: 1 day, 2:25:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 2.6191, loss: 2.6191 +2025-06-03 15:08:54,033 - pyskl - INFO - Epoch [57][400/2353] lr: 1.730e-02, eta: 1 day, 2:24:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9794, loss_cls: 2.7721, loss: 2.7721 +2025-06-03 15:09:37,050 - pyskl - INFO - Epoch [57][500/2353] lr: 1.729e-02, eta: 1 day, 2:23:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8525, top5_acc: 0.9775, loss_cls: 2.7874, loss: 2.7874 +2025-06-03 15:10:20,094 - pyskl - INFO - Epoch [57][600/2353] lr: 1.728e-02, eta: 1 day, 2:23:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9856, loss_cls: 2.7812, loss: 2.7812 +2025-06-03 15:11:03,089 - pyskl - INFO - Epoch [57][700/2353] lr: 1.727e-02, eta: 1 day, 2:22:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9806, loss_cls: 2.6437, loss: 2.6437 +2025-06-03 15:11:46,071 - pyskl - INFO - Epoch [57][800/2353] lr: 1.726e-02, eta: 1 day, 2:21:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8413, top5_acc: 0.9744, loss_cls: 2.8854, loss: 2.8854 +2025-06-03 15:12:29,022 - pyskl - INFO - Epoch [57][900/2353] lr: 1.725e-02, eta: 1 day, 2:20:57, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 2.7407, loss: 2.7407 +2025-06-03 15:13:11,930 - pyskl - INFO - Epoch [57][1000/2353] lr: 1.724e-02, eta: 1 day, 2:20:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9794, loss_cls: 2.8031, loss: 2.8031 +2025-06-03 15:13:54,887 - pyskl - INFO - Epoch [57][1100/2353] lr: 1.723e-02, eta: 1 day, 2:19:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9762, loss_cls: 2.6563, loss: 2.6563 +2025-06-03 15:14:37,959 - pyskl - INFO - Epoch [57][1200/2353] lr: 1.722e-02, eta: 1 day, 2:18:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9806, loss_cls: 2.8623, loss: 2.8623 +2025-06-03 15:15:21,251 - pyskl - INFO - Epoch [57][1300/2353] lr: 1.721e-02, eta: 1 day, 2:18:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9800, loss_cls: 2.8139, loss: 2.8139 +2025-06-03 15:16:04,496 - pyskl - INFO - Epoch [57][1400/2353] lr: 1.720e-02, eta: 1 day, 2:17:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9769, loss_cls: 2.8218, loss: 2.8218 +2025-06-03 15:16:47,630 - pyskl - INFO - Epoch [57][1500/2353] lr: 1.719e-02, eta: 1 day, 2:16:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9788, loss_cls: 2.7626, loss: 2.7626 +2025-06-03 15:17:30,781 - pyskl - INFO - Epoch [57][1600/2353] lr: 1.718e-02, eta: 1 day, 2:15:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9794, loss_cls: 2.8692, loss: 2.8692 +2025-06-03 15:18:13,850 - pyskl - INFO - Epoch [57][1700/2353] lr: 1.717e-02, eta: 1 day, 2:15:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8337, top5_acc: 0.9775, loss_cls: 2.8841, loss: 2.8841 +2025-06-03 15:18:57,106 - pyskl - INFO - Epoch [57][1800/2353] lr: 1.716e-02, eta: 1 day, 2:14:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9806, loss_cls: 2.7947, loss: 2.7947 +2025-06-03 15:19:40,266 - pyskl - INFO - Epoch [57][1900/2353] lr: 1.715e-02, eta: 1 day, 2:13:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9812, loss_cls: 2.8204, loss: 2.8204 +2025-06-03 15:20:23,351 - pyskl - INFO - Epoch [57][2000/2353] lr: 1.714e-02, eta: 1 day, 2:13:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9869, loss_cls: 2.7972, loss: 2.7972 +2025-06-03 15:21:06,490 - pyskl - INFO - Epoch [57][2100/2353] lr: 1.713e-02, eta: 1 day, 2:12:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9869, loss_cls: 2.8297, loss: 2.8297 +2025-06-03 15:21:49,530 - pyskl - INFO - Epoch [57][2200/2353] lr: 1.712e-02, eta: 1 day, 2:11:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9806, loss_cls: 2.7472, loss: 2.7472 +2025-06-03 15:22:32,560 - pyskl - INFO - Epoch [57][2300/2353] lr: 1.711e-02, eta: 1 day, 2:10:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9850, loss_cls: 2.6877, loss: 2.6877 +2025-06-03 15:22:55,894 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-06-03 15:24:20,788 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 15:24:20,864 - pyskl - INFO - +top1_acc 0.8862 +top5_acc 0.9894 +2025-06-03 15:24:20,868 - pyskl - INFO - Epoch(val) [57][1184] top1_acc: 0.8862, top5_acc: 0.9894 +2025-06-03 15:25:24,228 - pyskl - INFO - Epoch [58][100/2353] lr: 1.709e-02, eta: 1 day, 2:09:45, time: 0.634, data_time: 0.203, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9825, loss_cls: 2.6409, loss: 2.6409 +2025-06-03 15:26:07,480 - pyskl - INFO - Epoch [58][200/2353] lr: 1.708e-02, eta: 1 day, 2:09:02, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9819, loss_cls: 2.7186, loss: 2.7186 +2025-06-03 15:26:50,514 - pyskl - INFO - Epoch [58][300/2353] lr: 1.707e-02, eta: 1 day, 2:08:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9788, loss_cls: 2.7166, loss: 2.7166 +2025-06-03 15:27:33,580 - pyskl - INFO - Epoch [58][400/2353] lr: 1.706e-02, eta: 1 day, 2:07:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9769, loss_cls: 2.8542, loss: 2.8542 +2025-06-03 15:28:16,611 - pyskl - INFO - Epoch [58][500/2353] lr: 1.705e-02, eta: 1 day, 2:06:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9800, loss_cls: 2.7845, loss: 2.7845 +2025-06-03 15:28:59,613 - pyskl - INFO - Epoch [58][600/2353] lr: 1.704e-02, eta: 1 day, 2:06:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9800, loss_cls: 2.7975, loss: 2.7975 +2025-06-03 15:29:42,623 - pyskl - INFO - Epoch [58][700/2353] lr: 1.703e-02, eta: 1 day, 2:05:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9800, loss_cls: 2.7351, loss: 2.7351 +2025-06-03 15:30:25,844 - pyskl - INFO - Epoch [58][800/2353] lr: 1.702e-02, eta: 1 day, 2:04:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9781, loss_cls: 2.7938, loss: 2.7938 +2025-06-03 15:31:08,553 - pyskl - INFO - Epoch [58][900/2353] lr: 1.701e-02, eta: 1 day, 2:04:00, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9838, loss_cls: 2.7848, loss: 2.7848 +2025-06-03 15:31:51,109 - pyskl - INFO - Epoch [58][1000/2353] lr: 1.700e-02, eta: 1 day, 2:03:17, time: 0.426, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9781, loss_cls: 2.7547, loss: 2.7547 +2025-06-03 15:32:34,156 - pyskl - INFO - Epoch [58][1100/2353] lr: 1.699e-02, eta: 1 day, 2:02:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 2.7176, loss: 2.7176 +2025-06-03 15:33:17,208 - pyskl - INFO - Epoch [58][1200/2353] lr: 1.698e-02, eta: 1 day, 2:01:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9850, loss_cls: 2.8449, loss: 2.8449 +2025-06-03 15:34:00,259 - pyskl - INFO - Epoch [58][1300/2353] lr: 1.697e-02, eta: 1 day, 2:01:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9819, loss_cls: 2.7111, loss: 2.7111 +2025-06-03 15:34:43,305 - pyskl - INFO - Epoch [58][1400/2353] lr: 1.696e-02, eta: 1 day, 2:00:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9819, loss_cls: 2.7351, loss: 2.7351 +2025-06-03 15:35:26,656 - pyskl - INFO - Epoch [58][1500/2353] lr: 1.695e-02, eta: 1 day, 1:59:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8494, top5_acc: 0.9788, loss_cls: 2.8456, loss: 2.8456 +2025-06-03 15:36:09,844 - pyskl - INFO - Epoch [58][1600/2353] lr: 1.694e-02, eta: 1 day, 1:58:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 2.7228, loss: 2.7228 +2025-06-03 15:36:52,939 - pyskl - INFO - Epoch [58][1700/2353] lr: 1.693e-02, eta: 1 day, 1:58:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9812, loss_cls: 2.7991, loss: 2.7991 +2025-06-03 15:37:35,783 - pyskl - INFO - Epoch [58][1800/2353] lr: 1.691e-02, eta: 1 day, 1:57:32, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9806, loss_cls: 2.8668, loss: 2.8668 +2025-06-03 15:38:18,755 - pyskl - INFO - Epoch [58][1900/2353] lr: 1.690e-02, eta: 1 day, 1:56:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9819, loss_cls: 2.6896, loss: 2.6896 +2025-06-03 15:39:01,918 - pyskl - INFO - Epoch [58][2000/2353] lr: 1.689e-02, eta: 1 day, 1:56:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9781, loss_cls: 2.6998, loss: 2.6998 +2025-06-03 15:39:44,907 - pyskl - INFO - Epoch [58][2100/2353] lr: 1.688e-02, eta: 1 day, 1:55:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8475, top5_acc: 0.9775, loss_cls: 2.8494, loss: 2.8494 +2025-06-03 15:40:27,817 - pyskl - INFO - Epoch [58][2200/2353] lr: 1.687e-02, eta: 1 day, 1:54:40, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 2.8343, loss: 2.8343 +2025-06-03 15:41:10,814 - pyskl - INFO - Epoch [58][2300/2353] lr: 1.686e-02, eta: 1 day, 1:53:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9781, loss_cls: 2.8300, loss: 2.8300 +2025-06-03 15:41:34,134 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-06-03 15:42:58,921 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 15:42:58,997 - pyskl - INFO - +top1_acc 0.8976 +top5_acc 0.9903 +2025-06-03 15:42:59,000 - pyskl - INFO - Epoch(val) [58][1184] top1_acc: 0.8976, top5_acc: 0.9903 +2025-06-03 15:44:02,128 - pyskl - INFO - Epoch [59][100/2353] lr: 1.685e-02, eta: 1 day, 1:52:46, time: 0.631, data_time: 0.199, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9788, loss_cls: 2.7133, loss: 2.7133 +2025-06-03 15:44:45,319 - pyskl - INFO - Epoch [59][200/2353] lr: 1.684e-02, eta: 1 day, 1:52:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9775, loss_cls: 2.7506, loss: 2.7506 +2025-06-03 15:45:28,572 - pyskl - INFO - Epoch [59][300/2353] lr: 1.683e-02, eta: 1 day, 1:51:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9856, loss_cls: 2.6954, loss: 2.6954 +2025-06-03 15:46:11,750 - pyskl - INFO - Epoch [59][400/2353] lr: 1.682e-02, eta: 1 day, 1:50:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 2.6728, loss: 2.6728 +2025-06-03 15:46:54,898 - pyskl - INFO - Epoch [59][500/2353] lr: 1.681e-02, eta: 1 day, 1:49:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9794, loss_cls: 2.7800, loss: 2.7800 +2025-06-03 15:47:37,988 - pyskl - INFO - Epoch [59][600/2353] lr: 1.679e-02, eta: 1 day, 1:49:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9800, loss_cls: 2.6554, loss: 2.6554 +2025-06-03 15:48:21,268 - pyskl - INFO - Epoch [59][700/2353] lr: 1.678e-02, eta: 1 day, 1:48:29, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9806, loss_cls: 2.7602, loss: 2.7602 +2025-06-03 15:49:04,560 - pyskl - INFO - Epoch [59][800/2353] lr: 1.677e-02, eta: 1 day, 1:47:47, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9769, loss_cls: 2.7397, loss: 2.7397 +2025-06-03 15:49:47,696 - pyskl - INFO - Epoch [59][900/2353] lr: 1.676e-02, eta: 1 day, 1:47:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9850, loss_cls: 2.8143, loss: 2.8143 +2025-06-03 15:50:30,761 - pyskl - INFO - Epoch [59][1000/2353] lr: 1.675e-02, eta: 1 day, 1:46:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9825, loss_cls: 2.8665, loss: 2.8665 +2025-06-03 15:51:13,794 - pyskl - INFO - Epoch [59][1100/2353] lr: 1.674e-02, eta: 1 day, 1:45:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9788, loss_cls: 2.8671, loss: 2.8671 +2025-06-03 15:51:56,583 - pyskl - INFO - Epoch [59][1200/2353] lr: 1.673e-02, eta: 1 day, 1:44:54, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9788, loss_cls: 2.8279, loss: 2.8279 +2025-06-03 15:52:39,311 - pyskl - INFO - Epoch [59][1300/2353] lr: 1.672e-02, eta: 1 day, 1:44:10, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9900, loss_cls: 2.7121, loss: 2.7121 +2025-06-03 15:53:22,157 - pyskl - INFO - Epoch [59][1400/2353] lr: 1.671e-02, eta: 1 day, 1:43:27, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9844, loss_cls: 2.6512, loss: 2.6512 +2025-06-03 15:54:05,528 - pyskl - INFO - Epoch [59][1500/2353] lr: 1.670e-02, eta: 1 day, 1:42:44, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 2.7366, loss: 2.7366 +2025-06-03 15:54:48,473 - pyskl - INFO - Epoch [59][1600/2353] lr: 1.669e-02, eta: 1 day, 1:42:01, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9862, loss_cls: 2.8373, loss: 2.8373 +2025-06-03 15:55:31,673 - pyskl - INFO - Epoch [59][1700/2353] lr: 1.668e-02, eta: 1 day, 1:41:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8550, top5_acc: 0.9838, loss_cls: 2.8662, loss: 2.8662 +2025-06-03 15:56:15,095 - pyskl - INFO - Epoch [59][1800/2353] lr: 1.667e-02, eta: 1 day, 1:40:36, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8462, top5_acc: 0.9775, loss_cls: 2.8421, loss: 2.8421 +2025-06-03 15:56:58,335 - pyskl - INFO - Epoch [59][1900/2353] lr: 1.666e-02, eta: 1 day, 1:39:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 2.7543, loss: 2.7543 +2025-06-03 15:57:41,982 - pyskl - INFO - Epoch [59][2000/2353] lr: 1.665e-02, eta: 1 day, 1:39:11, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9819, loss_cls: 2.7364, loss: 2.7364 +2025-06-03 15:58:25,339 - pyskl - INFO - Epoch [59][2100/2353] lr: 1.664e-02, eta: 1 day, 1:38:28, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8562, top5_acc: 0.9775, loss_cls: 2.8395, loss: 2.8395 +2025-06-03 15:59:08,514 - pyskl - INFO - Epoch [59][2200/2353] lr: 1.663e-02, eta: 1 day, 1:37:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9819, loss_cls: 2.6738, loss: 2.6738 +2025-06-03 15:59:51,675 - pyskl - INFO - Epoch [59][2300/2353] lr: 1.662e-02, eta: 1 day, 1:37:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 2.7982, loss: 2.7982 +2025-06-03 16:00:15,122 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-06-03 16:01:40,028 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 16:01:40,103 - pyskl - INFO - +top1_acc 0.8605 +top5_acc 0.9894 +2025-06-03 16:01:40,106 - pyskl - INFO - Epoch(val) [59][1184] top1_acc: 0.8605, top5_acc: 0.9894 +2025-06-03 16:02:43,289 - pyskl - INFO - Epoch [60][100/2353] lr: 1.660e-02, eta: 1 day, 1:35:53, time: 0.632, data_time: 0.201, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 2.7326, loss: 2.7326 +2025-06-03 16:03:26,354 - pyskl - INFO - Epoch [60][200/2353] lr: 1.659e-02, eta: 1 day, 1:35:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8506, top5_acc: 0.9819, loss_cls: 2.8329, loss: 2.8329 +2025-06-03 16:04:09,584 - pyskl - INFO - Epoch [60][300/2353] lr: 1.658e-02, eta: 1 day, 1:34:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9825, loss_cls: 2.6759, loss: 2.6759 +2025-06-03 16:04:52,770 - pyskl - INFO - Epoch [60][400/2353] lr: 1.657e-02, eta: 1 day, 1:33:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9800, loss_cls: 2.7844, loss: 2.7844 +2025-06-03 16:05:36,082 - pyskl - INFO - Epoch [60][500/2353] lr: 1.656e-02, eta: 1 day, 1:33:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9825, loss_cls: 2.7297, loss: 2.7297 +2025-06-03 16:06:19,236 - pyskl - INFO - Epoch [60][600/2353] lr: 1.655e-02, eta: 1 day, 1:32:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9856, loss_cls: 2.7642, loss: 2.7642 +2025-06-03 16:07:02,287 - pyskl - INFO - Epoch [60][700/2353] lr: 1.654e-02, eta: 1 day, 1:31:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 2.7818, loss: 2.7818 +2025-06-03 16:07:45,329 - pyskl - INFO - Epoch [60][800/2353] lr: 1.653e-02, eta: 1 day, 1:30:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9831, loss_cls: 2.6127, loss: 2.6127 +2025-06-03 16:08:28,261 - pyskl - INFO - Epoch [60][900/2353] lr: 1.652e-02, eta: 1 day, 1:30:09, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9856, loss_cls: 2.7113, loss: 2.7113 +2025-06-03 16:09:11,270 - pyskl - INFO - Epoch [60][1000/2353] lr: 1.651e-02, eta: 1 day, 1:29:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8519, top5_acc: 0.9725, loss_cls: 2.8441, loss: 2.8441 +2025-06-03 16:09:54,411 - pyskl - INFO - Epoch [60][1100/2353] lr: 1.650e-02, eta: 1 day, 1:28:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9838, loss_cls: 2.7453, loss: 2.7453 +2025-06-03 16:10:37,431 - pyskl - INFO - Epoch [60][1200/2353] lr: 1.648e-02, eta: 1 day, 1:28:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9750, loss_cls: 2.7613, loss: 2.7613 +2025-06-03 16:11:20,467 - pyskl - INFO - Epoch [60][1300/2353] lr: 1.647e-02, eta: 1 day, 1:27:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8512, top5_acc: 0.9775, loss_cls: 2.8069, loss: 2.8069 +2025-06-03 16:12:03,687 - pyskl - INFO - Epoch [60][1400/2353] lr: 1.646e-02, eta: 1 day, 1:26:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 2.7487, loss: 2.7487 +2025-06-03 16:12:46,911 - pyskl - INFO - Epoch [60][1500/2353] lr: 1.645e-02, eta: 1 day, 1:25:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9862, loss_cls: 2.7113, loss: 2.7113 +2025-06-03 16:13:30,202 - pyskl - INFO - Epoch [60][1600/2353] lr: 1.644e-02, eta: 1 day, 1:25:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 2.6964, loss: 2.6964 +2025-06-03 16:14:13,416 - pyskl - INFO - Epoch [60][1700/2353] lr: 1.643e-02, eta: 1 day, 1:24:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9800, loss_cls: 2.7606, loss: 2.7606 +2025-06-03 16:14:56,912 - pyskl - INFO - Epoch [60][1800/2353] lr: 1.642e-02, eta: 1 day, 1:23:43, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9769, loss_cls: 2.8376, loss: 2.8376 +2025-06-03 16:15:40,084 - pyskl - INFO - Epoch [60][1900/2353] lr: 1.641e-02, eta: 1 day, 1:23:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9894, loss_cls: 2.7576, loss: 2.7576 +2025-06-03 16:16:23,330 - pyskl - INFO - Epoch [60][2000/2353] lr: 1.640e-02, eta: 1 day, 1:22:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 2.7314, loss: 2.7314 +2025-06-03 16:17:06,442 - pyskl - INFO - Epoch [60][2100/2353] lr: 1.639e-02, eta: 1 day, 1:21:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9781, loss_cls: 2.7890, loss: 2.7890 +2025-06-03 16:17:49,571 - pyskl - INFO - Epoch [60][2200/2353] lr: 1.638e-02, eta: 1 day, 1:20:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8481, top5_acc: 0.9838, loss_cls: 2.7568, loss: 2.7568 +2025-06-03 16:18:32,957 - pyskl - INFO - Epoch [60][2300/2353] lr: 1.637e-02, eta: 1 day, 1:20:09, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8606, top5_acc: 0.9775, loss_cls: 2.7721, loss: 2.7721 +2025-06-03 16:18:56,308 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-06-03 16:27:48,002 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 16:27:48,078 - pyskl - INFO - +top1_acc 0.8977 +top5_acc 0.9909 +2025-06-03 16:27:48,082 - pyskl - INFO - Epoch(val) [60][1184] top1_acc: 0.8977, top5_acc: 0.9909 +2025-06-03 16:28:51,386 - pyskl - INFO - Epoch [61][100/2353] lr: 1.635e-02, eta: 1 day, 1:18:59, time: 0.633, data_time: 0.201, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 2.6555, loss: 2.6555 +2025-06-03 16:29:34,471 - pyskl - INFO - Epoch [61][200/2353] lr: 1.634e-02, eta: 1 day, 1:18:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 2.6534, loss: 2.6534 +2025-06-03 16:30:17,743 - pyskl - INFO - Epoch [61][300/2353] lr: 1.633e-02, eta: 1 day, 1:17:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9794, loss_cls: 2.6764, loss: 2.6764 +2025-06-03 16:31:00,996 - pyskl - INFO - Epoch [61][400/2353] lr: 1.632e-02, eta: 1 day, 1:16:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9831, loss_cls: 2.7003, loss: 2.7003 +2025-06-03 16:31:44,184 - pyskl - INFO - Epoch [61][500/2353] lr: 1.631e-02, eta: 1 day, 1:16:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 2.6731, loss: 2.6731 +2025-06-03 16:32:27,418 - pyskl - INFO - Epoch [61][600/2353] lr: 1.630e-02, eta: 1 day, 1:15:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9825, loss_cls: 2.5920, loss: 2.5920 +2025-06-03 16:33:10,522 - pyskl - INFO - Epoch [61][700/2353] lr: 1.629e-02, eta: 1 day, 1:14:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9856, loss_cls: 2.7018, loss: 2.7018 +2025-06-03 16:33:53,618 - pyskl - INFO - Epoch [61][800/2353] lr: 1.628e-02, eta: 1 day, 1:13:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9900, loss_cls: 2.6699, loss: 2.6699 +2025-06-03 16:34:36,735 - pyskl - INFO - Epoch [61][900/2353] lr: 1.627e-02, eta: 1 day, 1:13:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9788, loss_cls: 2.6772, loss: 2.6772 +2025-06-03 16:35:19,815 - pyskl - INFO - Epoch [61][1000/2353] lr: 1.626e-02, eta: 1 day, 1:12:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 2.7600, loss: 2.7600 +2025-06-03 16:36:02,899 - pyskl - INFO - Epoch [61][1100/2353] lr: 1.625e-02, eta: 1 day, 1:11:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9844, loss_cls: 2.7029, loss: 2.7029 +2025-06-03 16:36:45,939 - pyskl - INFO - Epoch [61][1200/2353] lr: 1.624e-02, eta: 1 day, 1:11:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9838, loss_cls: 2.7653, loss: 2.7653 +2025-06-03 16:37:29,092 - pyskl - INFO - Epoch [61][1300/2353] lr: 1.623e-02, eta: 1 day, 1:10:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 2.7945, loss: 2.7945 +2025-06-03 16:38:12,507 - pyskl - INFO - Epoch [61][1400/2353] lr: 1.621e-02, eta: 1 day, 1:09:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 2.6333, loss: 2.6333 +2025-06-03 16:38:55,731 - pyskl - INFO - Epoch [61][1500/2353] lr: 1.620e-02, eta: 1 day, 1:08:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8538, top5_acc: 0.9812, loss_cls: 2.7658, loss: 2.7658 +2025-06-03 16:39:39,010 - pyskl - INFO - Epoch [61][1600/2353] lr: 1.619e-02, eta: 1 day, 1:08:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 2.6491, loss: 2.6491 +2025-06-03 16:40:22,143 - pyskl - INFO - Epoch [61][1700/2353] lr: 1.618e-02, eta: 1 day, 1:07:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9819, loss_cls: 2.7357, loss: 2.7357 +2025-06-03 16:41:05,501 - pyskl - INFO - Epoch [61][1800/2353] lr: 1.617e-02, eta: 1 day, 1:06:50, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9775, loss_cls: 2.7909, loss: 2.7909 +2025-06-03 16:41:48,748 - pyskl - INFO - Epoch [61][1900/2353] lr: 1.616e-02, eta: 1 day, 1:06:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9738, loss_cls: 2.8497, loss: 2.8497 +2025-06-03 16:42:31,803 - pyskl - INFO - Epoch [61][2000/2353] lr: 1.615e-02, eta: 1 day, 1:05:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9794, loss_cls: 2.7895, loss: 2.7895 +2025-06-03 16:43:14,766 - pyskl - INFO - Epoch [61][2100/2353] lr: 1.614e-02, eta: 1 day, 1:04:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9869, loss_cls: 2.8040, loss: 2.8040 +2025-06-03 16:43:57,786 - pyskl - INFO - Epoch [61][2200/2353] lr: 1.613e-02, eta: 1 day, 1:03:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9838, loss_cls: 2.7054, loss: 2.7054 +2025-06-03 16:44:40,958 - pyskl - INFO - Epoch [61][2300/2353] lr: 1.612e-02, eta: 1 day, 1:03:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9788, loss_cls: 2.6910, loss: 2.6910 +2025-06-03 16:45:04,496 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-06-03 16:46:29,539 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 16:46:29,614 - pyskl - INFO - +top1_acc 0.8636 +top5_acc 0.9876 +2025-06-03 16:46:29,617 - pyskl - INFO - Epoch(val) [61][1184] top1_acc: 0.8636, top5_acc: 0.9876 +2025-06-03 16:47:32,929 - pyskl - INFO - Epoch [62][100/2353] lr: 1.610e-02, eta: 1 day, 1:02:06, time: 0.633, data_time: 0.200, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9850, loss_cls: 2.6675, loss: 2.6675 +2025-06-03 16:48:16,314 - pyskl - INFO - Epoch [62][200/2353] lr: 1.609e-02, eta: 1 day, 1:01:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 2.6764, loss: 2.6764 +2025-06-03 16:48:59,631 - pyskl - INFO - Epoch [62][300/2353] lr: 1.608e-02, eta: 1 day, 1:00:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9856, loss_cls: 2.6952, loss: 2.6952 +2025-06-03 16:49:42,838 - pyskl - INFO - Epoch [62][400/2353] lr: 1.607e-02, eta: 1 day, 0:59:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9875, loss_cls: 2.6987, loss: 2.6987 +2025-06-03 16:50:26,001 - pyskl - INFO - Epoch [62][500/2353] lr: 1.606e-02, eta: 1 day, 0:59:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9831, loss_cls: 2.7460, loss: 2.7460 +2025-06-03 16:51:09,171 - pyskl - INFO - Epoch [62][600/2353] lr: 1.605e-02, eta: 1 day, 0:58:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 2.6173, loss: 2.6173 +2025-06-03 16:51:52,225 - pyskl - INFO - Epoch [62][700/2353] lr: 1.604e-02, eta: 1 day, 0:57:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9769, loss_cls: 2.7665, loss: 2.7665 +2025-06-03 16:52:35,291 - pyskl - INFO - Epoch [62][800/2353] lr: 1.603e-02, eta: 1 day, 0:57:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9725, loss_cls: 2.7640, loss: 2.7640 +2025-06-03 16:53:18,446 - pyskl - INFO - Epoch [62][900/2353] lr: 1.602e-02, eta: 1 day, 0:56:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 2.7402, loss: 2.7402 +2025-06-03 16:54:01,509 - pyskl - INFO - Epoch [62][1000/2353] lr: 1.601e-02, eta: 1 day, 0:55:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9806, loss_cls: 2.7238, loss: 2.7238 +2025-06-03 16:54:44,558 - pyskl - INFO - Epoch [62][1100/2353] lr: 1.600e-02, eta: 1 day, 0:54:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9788, loss_cls: 2.7066, loss: 2.7066 +2025-06-03 16:55:27,498 - pyskl - INFO - Epoch [62][1200/2353] lr: 1.598e-02, eta: 1 day, 0:54:13, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9850, loss_cls: 2.7518, loss: 2.7518 +2025-06-03 16:56:10,482 - pyskl - INFO - Epoch [62][1300/2353] lr: 1.597e-02, eta: 1 day, 0:53:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 2.7351, loss: 2.7351 +2025-06-03 16:56:53,574 - pyskl - INFO - Epoch [62][1400/2353] lr: 1.596e-02, eta: 1 day, 0:52:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9819, loss_cls: 2.6806, loss: 2.6806 +2025-06-03 16:57:36,651 - pyskl - INFO - Epoch [62][1500/2353] lr: 1.595e-02, eta: 1 day, 0:52:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8556, top5_acc: 0.9831, loss_cls: 2.7862, loss: 2.7862 +2025-06-03 16:58:19,784 - pyskl - INFO - Epoch [62][1600/2353] lr: 1.594e-02, eta: 1 day, 0:51:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9800, loss_cls: 2.7210, loss: 2.7210 +2025-06-03 16:59:02,943 - pyskl - INFO - Epoch [62][1700/2353] lr: 1.593e-02, eta: 1 day, 0:50:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9812, loss_cls: 2.6887, loss: 2.6887 +2025-06-03 16:59:46,149 - pyskl - INFO - Epoch [62][1800/2353] lr: 1.592e-02, eta: 1 day, 0:49:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9825, loss_cls: 2.7315, loss: 2.7315 +2025-06-03 17:00:29,431 - pyskl - INFO - Epoch [62][1900/2353] lr: 1.591e-02, eta: 1 day, 0:49:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 2.6484, loss: 2.6484 +2025-06-03 17:01:12,231 - pyskl - INFO - Epoch [62][2000/2353] lr: 1.590e-02, eta: 1 day, 0:48:29, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 2.7092, loss: 2.7092 +2025-06-03 17:01:54,841 - pyskl - INFO - Epoch [62][2100/2353] lr: 1.589e-02, eta: 1 day, 0:47:46, time: 0.426, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9788, loss_cls: 2.7814, loss: 2.7814 +2025-06-03 17:02:37,951 - pyskl - INFO - Epoch [62][2200/2353] lr: 1.588e-02, eta: 1 day, 0:47:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8500, top5_acc: 0.9788, loss_cls: 2.8117, loss: 2.8117 +2025-06-03 17:03:21,051 - pyskl - INFO - Epoch [62][2300/2353] lr: 1.587e-02, eta: 1 day, 0:46:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9781, loss_cls: 2.7583, loss: 2.7583 +2025-06-03 17:03:44,340 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-06-03 17:05:09,255 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 17:05:09,331 - pyskl - INFO - +top1_acc 0.8977 +top5_acc 0.9917 +2025-06-03 17:05:09,334 - pyskl - INFO - Epoch(val) [62][1184] top1_acc: 0.8977, top5_acc: 0.9917 +2025-06-03 17:06:13,164 - pyskl - INFO - Epoch [63][100/2353] lr: 1.585e-02, eta: 1 day, 0:45:11, time: 0.638, data_time: 0.203, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 2.6550, loss: 2.6550 +2025-06-03 17:06:56,478 - pyskl - INFO - Epoch [63][200/2353] lr: 1.584e-02, eta: 1 day, 0:44:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9788, loss_cls: 2.7117, loss: 2.7117 +2025-06-03 17:07:39,783 - pyskl - INFO - Epoch [63][300/2353] lr: 1.583e-02, eta: 1 day, 0:43:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9831, loss_cls: 2.6890, loss: 2.6890 +2025-06-03 17:08:23,090 - pyskl - INFO - Epoch [63][400/2353] lr: 1.582e-02, eta: 1 day, 0:43:03, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9725, loss_cls: 2.7831, loss: 2.7831 +2025-06-03 17:09:06,197 - pyskl - INFO - Epoch [63][500/2353] lr: 1.581e-02, eta: 1 day, 0:42:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 2.5547, loss: 2.5547 +2025-06-03 17:09:49,354 - pyskl - INFO - Epoch [63][600/2353] lr: 1.580e-02, eta: 1 day, 0:41:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9825, loss_cls: 2.8043, loss: 2.8043 +2025-06-03 17:10:32,435 - pyskl - INFO - Epoch [63][700/2353] lr: 1.579e-02, eta: 1 day, 0:40:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 2.7198, loss: 2.7198 +2025-06-03 17:11:15,450 - pyskl - INFO - Epoch [63][800/2353] lr: 1.578e-02, eta: 1 day, 0:40:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9800, loss_cls: 2.8081, loss: 2.8081 +2025-06-03 17:11:58,568 - pyskl - INFO - Epoch [63][900/2353] lr: 1.577e-02, eta: 1 day, 0:39:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9862, loss_cls: 2.6782, loss: 2.6782 +2025-06-03 17:12:41,668 - pyskl - INFO - Epoch [63][1000/2353] lr: 1.575e-02, eta: 1 day, 0:38:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9862, loss_cls: 2.7441, loss: 2.7441 +2025-06-03 17:13:24,861 - pyskl - INFO - Epoch [63][1100/2353] lr: 1.574e-02, eta: 1 day, 0:38:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9831, loss_cls: 2.6072, loss: 2.6072 +2025-06-03 17:14:08,075 - pyskl - INFO - Epoch [63][1200/2353] lr: 1.573e-02, eta: 1 day, 0:37:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9888, loss_cls: 2.6482, loss: 2.6482 +2025-06-03 17:14:51,187 - pyskl - INFO - Epoch [63][1300/2353] lr: 1.572e-02, eta: 1 day, 0:36:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 2.7403, loss: 2.7403 +2025-06-03 17:15:34,398 - pyskl - INFO - Epoch [63][1400/2353] lr: 1.571e-02, eta: 1 day, 0:35:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9788, loss_cls: 2.6943, loss: 2.6943 +2025-06-03 17:16:17,559 - pyskl - INFO - Epoch [63][1500/2353] lr: 1.570e-02, eta: 1 day, 0:35:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9856, loss_cls: 2.7465, loss: 2.7465 +2025-06-03 17:17:01,062 - pyskl - INFO - Epoch [63][1600/2353] lr: 1.569e-02, eta: 1 day, 0:34:28, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9788, loss_cls: 2.6738, loss: 2.6738 +2025-06-03 17:17:44,319 - pyskl - INFO - Epoch [63][1700/2353] lr: 1.568e-02, eta: 1 day, 0:33:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9844, loss_cls: 2.7528, loss: 2.7528 +2025-06-03 17:18:27,707 - pyskl - INFO - Epoch [63][1800/2353] lr: 1.567e-02, eta: 1 day, 0:33:02, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8662, top5_acc: 0.9844, loss_cls: 2.7651, loss: 2.7651 +2025-06-03 17:19:10,891 - pyskl - INFO - Epoch [63][1900/2353] lr: 1.566e-02, eta: 1 day, 0:32:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9838, loss_cls: 2.7649, loss: 2.7649 +2025-06-03 17:19:54,084 - pyskl - INFO - Epoch [63][2000/2353] lr: 1.565e-02, eta: 1 day, 0:31:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9800, loss_cls: 2.6857, loss: 2.6857 +2025-06-03 17:20:37,203 - pyskl - INFO - Epoch [63][2100/2353] lr: 1.564e-02, eta: 1 day, 0:30:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9769, loss_cls: 2.6161, loss: 2.6161 +2025-06-03 17:21:20,303 - pyskl - INFO - Epoch [63][2200/2353] lr: 1.563e-02, eta: 1 day, 0:30:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9838, loss_cls: 2.6884, loss: 2.6884 +2025-06-03 17:22:03,487 - pyskl - INFO - Epoch [63][2300/2353] lr: 1.561e-02, eta: 1 day, 0:29:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 2.6962, loss: 2.6962 +2025-06-03 17:22:26,932 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-06-03 17:23:51,973 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 17:23:52,049 - pyskl - INFO - +top1_acc 0.8873 +top5_acc 0.9914 +2025-06-03 17:23:52,052 - pyskl - INFO - Epoch(val) [63][1184] top1_acc: 0.8873, top5_acc: 0.9914 +2025-06-03 17:24:55,858 - pyskl - INFO - Epoch [64][100/2353] lr: 1.560e-02, eta: 1 day, 0:28:19, time: 0.638, data_time: 0.204, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9819, loss_cls: 2.6856, loss: 2.6856 +2025-06-03 17:25:39,052 - pyskl - INFO - Epoch [64][200/2353] lr: 1.559e-02, eta: 1 day, 0:27:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 2.6208, loss: 2.6208 +2025-06-03 17:26:22,151 - pyskl - INFO - Epoch [64][300/2353] lr: 1.558e-02, eta: 1 day, 0:26:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9844, loss_cls: 2.6926, loss: 2.6926 +2025-06-03 17:27:05,366 - pyskl - INFO - Epoch [64][400/2353] lr: 1.557e-02, eta: 1 day, 0:26:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9756, loss_cls: 2.7124, loss: 2.7124 +2025-06-03 17:27:48,482 - pyskl - INFO - Epoch [64][500/2353] lr: 1.555e-02, eta: 1 day, 0:25:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9812, loss_cls: 2.6583, loss: 2.6583 +2025-06-03 17:28:31,623 - pyskl - INFO - Epoch [64][600/2353] lr: 1.554e-02, eta: 1 day, 0:24:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 2.5956, loss: 2.5956 +2025-06-03 17:29:14,702 - pyskl - INFO - Epoch [64][700/2353] lr: 1.553e-02, eta: 1 day, 0:24:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9850, loss_cls: 2.5494, loss: 2.5494 +2025-06-03 17:29:57,911 - pyskl - INFO - Epoch [64][800/2353] lr: 1.552e-02, eta: 1 day, 0:23:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 2.6299, loss: 2.6299 +2025-06-03 17:30:41,120 - pyskl - INFO - Epoch [64][900/2353] lr: 1.551e-02, eta: 1 day, 0:22:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 2.7024, loss: 2.7024 +2025-06-03 17:31:24,321 - pyskl - INFO - Epoch [64][1000/2353] lr: 1.550e-02, eta: 1 day, 0:21:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9900, loss_cls: 2.6157, loss: 2.6157 +2025-06-03 17:32:07,505 - pyskl - INFO - Epoch [64][1100/2353] lr: 1.549e-02, eta: 1 day, 0:21:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9844, loss_cls: 2.5971, loss: 2.5971 +2025-06-03 17:32:50,423 - pyskl - INFO - Epoch [64][1200/2353] lr: 1.548e-02, eta: 1 day, 0:20:27, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9762, loss_cls: 2.7050, loss: 2.7050 +2025-06-03 17:33:33,563 - pyskl - INFO - Epoch [64][1300/2353] lr: 1.547e-02, eta: 1 day, 0:19:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9862, loss_cls: 2.6305, loss: 2.6305 +2025-06-03 17:34:16,608 - pyskl - INFO - Epoch [64][1400/2353] lr: 1.546e-02, eta: 1 day, 0:19:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 2.7348, loss: 2.7348 +2025-06-03 17:34:59,931 - pyskl - INFO - Epoch [64][1500/2353] lr: 1.545e-02, eta: 1 day, 0:18:18, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 2.6644, loss: 2.6644 +2025-06-03 17:35:43,205 - pyskl - INFO - Epoch [64][1600/2353] lr: 1.544e-02, eta: 1 day, 0:17:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8625, top5_acc: 0.9806, loss_cls: 2.7553, loss: 2.7553 +2025-06-03 17:36:26,695 - pyskl - INFO - Epoch [64][1700/2353] lr: 1.543e-02, eta: 1 day, 0:16:53, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9825, loss_cls: 2.7318, loss: 2.7318 +2025-06-03 17:37:09,887 - pyskl - INFO - Epoch [64][1800/2353] lr: 1.541e-02, eta: 1 day, 0:16:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9788, loss_cls: 2.6649, loss: 2.6649 +2025-06-03 17:37:53,286 - pyskl - INFO - Epoch [64][1900/2353] lr: 1.540e-02, eta: 1 day, 0:15:27, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9800, loss_cls: 2.6924, loss: 2.6924 +2025-06-03 17:38:36,446 - pyskl - INFO - Epoch [64][2000/2353] lr: 1.539e-02, eta: 1 day, 0:14:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8381, top5_acc: 0.9756, loss_cls: 2.8797, loss: 2.8797 +2025-06-03 17:39:19,538 - pyskl - INFO - Epoch [64][2100/2353] lr: 1.538e-02, eta: 1 day, 0:14:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9738, loss_cls: 2.8313, loss: 2.8313 +2025-06-03 17:40:02,650 - pyskl - INFO - Epoch [64][2200/2353] lr: 1.537e-02, eta: 1 day, 0:13:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9769, loss_cls: 2.7008, loss: 2.7008 +2025-06-03 17:40:45,720 - pyskl - INFO - Epoch [64][2300/2353] lr: 1.536e-02, eta: 1 day, 0:12:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 2.6736, loss: 2.6736 +2025-06-03 17:41:09,209 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-06-03 17:42:34,168 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 17:42:34,244 - pyskl - INFO - +top1_acc 0.8960 +top5_acc 0.9907 +2025-06-03 17:42:34,247 - pyskl - INFO - Epoch(val) [64][1184] top1_acc: 0.8960, top5_acc: 0.9907 +2025-06-03 17:43:38,199 - pyskl - INFO - Epoch [65][100/2353] lr: 1.534e-02, eta: 1 day, 0:11:27, time: 0.639, data_time: 0.205, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9831, loss_cls: 2.6064, loss: 2.6064 +2025-06-03 17:44:21,351 - pyskl - INFO - Epoch [65][200/2353] lr: 1.533e-02, eta: 1 day, 0:10:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 2.6394, loss: 2.6394 +2025-06-03 17:45:04,508 - pyskl - INFO - Epoch [65][300/2353] lr: 1.532e-02, eta: 1 day, 0:10:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9888, loss_cls: 2.6154, loss: 2.6154 +2025-06-03 17:45:47,555 - pyskl - INFO - Epoch [65][400/2353] lr: 1.531e-02, eta: 1 day, 0:09:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9812, loss_cls: 2.6268, loss: 2.6268 +2025-06-03 17:46:30,689 - pyskl - INFO - Epoch [65][500/2353] lr: 1.530e-02, eta: 1 day, 0:08:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 2.6258, loss: 2.6258 +2025-06-03 17:47:13,852 - pyskl - INFO - Epoch [65][600/2353] lr: 1.529e-02, eta: 1 day, 0:07:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9838, loss_cls: 2.6497, loss: 2.6497 +2025-06-03 17:47:56,904 - pyskl - INFO - Epoch [65][700/2353] lr: 1.528e-02, eta: 1 day, 0:07:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9881, loss_cls: 2.6387, loss: 2.6387 +2025-06-03 17:48:39,907 - pyskl - INFO - Epoch [65][800/2353] lr: 1.527e-02, eta: 1 day, 0:06:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9838, loss_cls: 2.5720, loss: 2.5720 +2025-06-03 17:49:22,933 - pyskl - INFO - Epoch [65][900/2353] lr: 1.526e-02, eta: 1 day, 0:05:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9894, loss_cls: 2.6536, loss: 2.6536 +2025-06-03 17:50:05,974 - pyskl - INFO - Epoch [65][1000/2353] lr: 1.525e-02, eta: 1 day, 0:05:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9806, loss_cls: 2.8012, loss: 2.8012 +2025-06-03 17:50:49,074 - pyskl - INFO - Epoch [65][1100/2353] lr: 1.524e-02, eta: 1 day, 0:04:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9862, loss_cls: 2.6920, loss: 2.6920 +2025-06-03 17:51:32,173 - pyskl - INFO - Epoch [65][1200/2353] lr: 1.522e-02, eta: 1 day, 0:03:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8750, top5_acc: 0.9838, loss_cls: 2.7123, loss: 2.7123 +2025-06-03 17:52:15,275 - pyskl - INFO - Epoch [65][1300/2353] lr: 1.521e-02, eta: 1 day, 0:02:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 2.6352, loss: 2.6352 +2025-06-03 17:52:58,281 - pyskl - INFO - Epoch [65][1400/2353] lr: 1.520e-02, eta: 1 day, 0:02:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9831, loss_cls: 2.6870, loss: 2.6870 +2025-06-03 17:53:41,463 - pyskl - INFO - Epoch [65][1500/2353] lr: 1.519e-02, eta: 1 day, 0:01:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8588, top5_acc: 0.9850, loss_cls: 2.7376, loss: 2.7376 +2025-06-03 17:54:24,487 - pyskl - INFO - Epoch [65][1600/2353] lr: 1.518e-02, eta: 1 day, 0:00:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 2.6233, loss: 2.6233 +2025-06-03 17:55:07,933 - pyskl - INFO - Epoch [65][1700/2353] lr: 1.517e-02, eta: 23:59:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8581, top5_acc: 0.9869, loss_cls: 2.8494, loss: 2.8494 +2025-06-03 17:55:51,487 - pyskl - INFO - Epoch [65][1800/2353] lr: 1.516e-02, eta: 23:59:17, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 2.7440, loss: 2.7440 +2025-06-03 17:56:34,704 - pyskl - INFO - Epoch [65][1900/2353] lr: 1.515e-02, eta: 23:58:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 2.7581, loss: 2.7581 +2025-06-03 17:57:17,824 - pyskl - INFO - Epoch [65][2000/2353] lr: 1.514e-02, eta: 23:57:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9844, loss_cls: 2.6901, loss: 2.6901 +2025-06-03 17:58:00,927 - pyskl - INFO - Epoch [65][2100/2353] lr: 1.513e-02, eta: 23:57:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 2.7458, loss: 2.7458 +2025-06-03 17:58:44,018 - pyskl - INFO - Epoch [65][2200/2353] lr: 1.512e-02, eta: 23:56:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9806, loss_cls: 2.7739, loss: 2.7739 +2025-06-03 17:59:27,128 - pyskl - INFO - Epoch [65][2300/2353] lr: 1.510e-02, eta: 23:55:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9856, loss_cls: 2.5949, loss: 2.5949 +2025-06-03 17:59:50,537 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-06-03 18:08:43,243 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 18:08:43,319 - pyskl - INFO - +top1_acc 0.8917 +top5_acc 0.9914 +2025-06-03 18:08:43,323 - pyskl - INFO - Epoch(val) [65][1184] top1_acc: 0.8917, top5_acc: 0.9914 +2025-06-03 18:09:46,537 - pyskl - INFO - Epoch [66][100/2353] lr: 1.509e-02, eta: 23:54:32, time: 0.632, data_time: 0.202, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 2.5803, loss: 2.5803 +2025-06-03 18:10:29,590 - pyskl - INFO - Epoch [66][200/2353] lr: 1.508e-02, eta: 23:53:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 2.5727, loss: 2.5727 +2025-06-03 18:11:12,629 - pyskl - INFO - Epoch [66][300/2353] lr: 1.507e-02, eta: 23:53:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9844, loss_cls: 2.5781, loss: 2.5781 +2025-06-03 18:11:55,944 - pyskl - INFO - Epoch [66][400/2353] lr: 1.506e-02, eta: 23:52:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 2.5916, loss: 2.5916 +2025-06-03 18:12:39,220 - pyskl - INFO - Epoch [66][500/2353] lr: 1.504e-02, eta: 23:51:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9819, loss_cls: 2.5901, loss: 2.5901 +2025-06-03 18:13:22,528 - pyskl - INFO - Epoch [66][600/2353] lr: 1.503e-02, eta: 23:50:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 2.6202, loss: 2.6202 +2025-06-03 18:14:05,758 - pyskl - INFO - Epoch [66][700/2353] lr: 1.502e-02, eta: 23:50:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9906, loss_cls: 2.6383, loss: 2.6383 +2025-06-03 18:14:48,936 - pyskl - INFO - Epoch [66][800/2353] lr: 1.501e-02, eta: 23:49:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9850, loss_cls: 2.5771, loss: 2.5771 +2025-06-03 18:15:32,091 - pyskl - INFO - Epoch [66][900/2353] lr: 1.500e-02, eta: 23:48:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9794, loss_cls: 2.6792, loss: 2.6792 +2025-06-03 18:16:15,149 - pyskl - INFO - Epoch [66][1000/2353] lr: 1.499e-02, eta: 23:48:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 2.5538, loss: 2.5538 +2025-06-03 18:16:58,267 - pyskl - INFO - Epoch [66][1100/2353] lr: 1.498e-02, eta: 23:47:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9838, loss_cls: 2.6434, loss: 2.6434 +2025-06-03 18:17:41,371 - pyskl - INFO - Epoch [66][1200/2353] lr: 1.497e-02, eta: 23:46:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9781, loss_cls: 2.7878, loss: 2.7878 +2025-06-03 18:18:24,488 - pyskl - INFO - Epoch [66][1300/2353] lr: 1.496e-02, eta: 23:45:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9875, loss_cls: 2.6723, loss: 2.6723 +2025-06-03 18:19:07,526 - pyskl - INFO - Epoch [66][1400/2353] lr: 1.495e-02, eta: 23:45:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9838, loss_cls: 2.5606, loss: 2.5606 +2025-06-03 18:19:50,536 - pyskl - INFO - Epoch [66][1500/2353] lr: 1.494e-02, eta: 23:44:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 2.5416, loss: 2.5416 +2025-06-03 18:20:33,656 - pyskl - INFO - Epoch [66][1600/2353] lr: 1.492e-02, eta: 23:43:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9862, loss_cls: 2.7247, loss: 2.7247 +2025-06-03 18:21:16,803 - pyskl - INFO - Epoch [66][1700/2353] lr: 1.491e-02, eta: 23:43:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9844, loss_cls: 2.6563, loss: 2.6563 +2025-06-03 18:22:00,018 - pyskl - INFO - Epoch [66][1800/2353] lr: 1.490e-02, eta: 23:42:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9844, loss_cls: 2.7463, loss: 2.7463 +2025-06-03 18:22:43,155 - pyskl - INFO - Epoch [66][1900/2353] lr: 1.489e-02, eta: 23:41:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9794, loss_cls: 2.7226, loss: 2.7226 +2025-06-03 18:23:26,195 - pyskl - INFO - Epoch [66][2000/2353] lr: 1.488e-02, eta: 23:40:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9806, loss_cls: 2.7045, loss: 2.7045 +2025-06-03 18:24:09,326 - pyskl - INFO - Epoch [66][2100/2353] lr: 1.487e-02, eta: 23:40:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9806, loss_cls: 2.6387, loss: 2.6387 +2025-06-03 18:24:52,440 - pyskl - INFO - Epoch [66][2200/2353] lr: 1.486e-02, eta: 23:39:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9794, loss_cls: 2.7022, loss: 2.7022 +2025-06-03 18:25:35,608 - pyskl - INFO - Epoch [66][2300/2353] lr: 1.485e-02, eta: 23:38:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 2.6887, loss: 2.6887 +2025-06-03 18:25:59,050 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-06-03 18:27:24,328 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 18:27:24,404 - pyskl - INFO - +top1_acc 0.9120 +top5_acc 0.9915 +2025-06-03 18:27:24,458 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_50.pth was removed +2025-06-03 18:27:25,488 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. +2025-06-03 18:27:25,489 - pyskl - INFO - Best top1_acc is 0.9120 at 66 epoch. +2025-06-03 18:27:25,492 - pyskl - INFO - Epoch(val) [66][1184] top1_acc: 0.9120, top5_acc: 0.9915 +2025-06-03 18:28:29,159 - pyskl - INFO - Epoch [67][100/2353] lr: 1.483e-02, eta: 23:37:39, time: 0.637, data_time: 0.200, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9894, loss_cls: 2.5811, loss: 2.5811 +2025-06-03 18:29:12,490 - pyskl - INFO - Epoch [67][200/2353] lr: 1.482e-02, eta: 23:36:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8600, top5_acc: 0.9844, loss_cls: 2.7368, loss: 2.7368 +2025-06-03 18:29:55,702 - pyskl - INFO - Epoch [67][300/2353] lr: 1.481e-02, eta: 23:36:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9888, loss_cls: 2.6036, loss: 2.6036 +2025-06-03 18:30:38,981 - pyskl - INFO - Epoch [67][400/2353] lr: 1.480e-02, eta: 23:35:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9819, loss_cls: 2.5426, loss: 2.5426 +2025-06-03 18:31:22,088 - pyskl - INFO - Epoch [67][500/2353] lr: 1.479e-02, eta: 23:34:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 2.6027, loss: 2.6027 +2025-06-03 18:32:05,208 - pyskl - INFO - Epoch [67][600/2353] lr: 1.478e-02, eta: 23:34:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9838, loss_cls: 2.5304, loss: 2.5304 +2025-06-03 18:32:48,260 - pyskl - INFO - Epoch [67][700/2353] lr: 1.477e-02, eta: 23:33:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9844, loss_cls: 2.6407, loss: 2.6407 +2025-06-03 18:33:31,330 - pyskl - INFO - Epoch [67][800/2353] lr: 1.475e-02, eta: 23:32:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9831, loss_cls: 2.7305, loss: 2.7305 +2025-06-03 18:34:14,385 - pyskl - INFO - Epoch [67][900/2353] lr: 1.474e-02, eta: 23:31:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 2.6162, loss: 2.6162 +2025-06-03 18:34:57,493 - pyskl - INFO - Epoch [67][1000/2353] lr: 1.473e-02, eta: 23:31:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9800, loss_cls: 2.6795, loss: 2.6795 +2025-06-03 18:35:40,585 - pyskl - INFO - Epoch [67][1100/2353] lr: 1.472e-02, eta: 23:30:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9850, loss_cls: 2.5714, loss: 2.5714 +2025-06-03 18:36:23,702 - pyskl - INFO - Epoch [67][1200/2353] lr: 1.471e-02, eta: 23:29:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 2.6900, loss: 2.6900 +2025-06-03 18:37:06,717 - pyskl - INFO - Epoch [67][1300/2353] lr: 1.470e-02, eta: 23:29:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9800, loss_cls: 2.7052, loss: 2.7052 +2025-06-03 18:37:49,789 - pyskl - INFO - Epoch [67][1400/2353] lr: 1.469e-02, eta: 23:28:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 2.7766, loss: 2.7766 +2025-06-03 18:38:32,850 - pyskl - INFO - Epoch [67][1500/2353] lr: 1.468e-02, eta: 23:27:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 2.5961, loss: 2.5961 +2025-06-03 18:39:16,037 - pyskl - INFO - Epoch [67][1600/2353] lr: 1.467e-02, eta: 23:26:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8738, top5_acc: 0.9825, loss_cls: 2.6910, loss: 2.6910 +2025-06-03 18:39:59,246 - pyskl - INFO - Epoch [67][1700/2353] lr: 1.466e-02, eta: 23:26:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8594, top5_acc: 0.9775, loss_cls: 2.7888, loss: 2.7888 +2025-06-03 18:40:42,581 - pyskl - INFO - Epoch [67][1800/2353] lr: 1.465e-02, eta: 23:25:29, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 2.5243, loss: 2.5243 +2025-06-03 18:41:25,694 - pyskl - INFO - Epoch [67][1900/2353] lr: 1.463e-02, eta: 23:24:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8531, top5_acc: 0.9806, loss_cls: 2.7440, loss: 2.7440 +2025-06-03 18:42:08,812 - pyskl - INFO - Epoch [67][2000/2353] lr: 1.462e-02, eta: 23:24:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9781, loss_cls: 2.6936, loss: 2.6936 +2025-06-03 18:42:51,996 - pyskl - INFO - Epoch [67][2100/2353] lr: 1.461e-02, eta: 23:23:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9838, loss_cls: 2.6484, loss: 2.6484 +2025-06-03 18:43:35,094 - pyskl - INFO - Epoch [67][2200/2353] lr: 1.460e-02, eta: 23:22:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9838, loss_cls: 2.6223, loss: 2.6223 +2025-06-03 18:44:18,168 - pyskl - INFO - Epoch [67][2300/2353] lr: 1.459e-02, eta: 23:21:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 2.6272, loss: 2.6272 +2025-06-03 18:44:41,759 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-06-03 18:46:06,521 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 18:46:06,596 - pyskl - INFO - +top1_acc 0.9046 +top5_acc 0.9916 +2025-06-03 18:46:06,599 - pyskl - INFO - Epoch(val) [67][1184] top1_acc: 0.9046, top5_acc: 0.9916 +2025-06-03 18:47:10,017 - pyskl - INFO - Epoch [68][100/2353] lr: 1.457e-02, eta: 23:20:45, time: 0.634, data_time: 0.204, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 2.6375, loss: 2.6375 +2025-06-03 18:47:53,194 - pyskl - INFO - Epoch [68][200/2353] lr: 1.456e-02, eta: 23:20:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 2.5868, loss: 2.5868 +2025-06-03 18:48:36,340 - pyskl - INFO - Epoch [68][300/2353] lr: 1.455e-02, eta: 23:19:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9831, loss_cls: 2.6027, loss: 2.6027 +2025-06-03 18:49:19,567 - pyskl - INFO - Epoch [68][400/2353] lr: 1.454e-02, eta: 23:18:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9825, loss_cls: 2.6648, loss: 2.6648 +2025-06-03 18:50:02,823 - pyskl - INFO - Epoch [68][500/2353] lr: 1.453e-02, eta: 23:17:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 2.5373, loss: 2.5373 +2025-06-03 18:50:46,125 - pyskl - INFO - Epoch [68][600/2353] lr: 1.452e-02, eta: 23:17:10, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 2.5723, loss: 2.5723 +2025-06-03 18:51:29,296 - pyskl - INFO - Epoch [68][700/2353] lr: 1.451e-02, eta: 23:16:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 2.5606, loss: 2.5606 +2025-06-03 18:52:12,399 - pyskl - INFO - Epoch [68][800/2353] lr: 1.450e-02, eta: 23:15:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9831, loss_cls: 2.5643, loss: 2.5643 +2025-06-03 18:52:55,518 - pyskl - INFO - Epoch [68][900/2353] lr: 1.449e-02, eta: 23:15:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 2.6148, loss: 2.6148 +2025-06-03 18:53:38,655 - pyskl - INFO - Epoch [68][1000/2353] lr: 1.447e-02, eta: 23:14:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9875, loss_cls: 2.6342, loss: 2.6342 +2025-06-03 18:54:21,731 - pyskl - INFO - Epoch [68][1100/2353] lr: 1.446e-02, eta: 23:13:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 2.6164, loss: 2.6164 +2025-06-03 18:55:04,846 - pyskl - INFO - Epoch [68][1200/2353] lr: 1.445e-02, eta: 23:12:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8656, top5_acc: 0.9819, loss_cls: 2.6978, loss: 2.6978 +2025-06-03 18:55:47,986 - pyskl - INFO - Epoch [68][1300/2353] lr: 1.444e-02, eta: 23:12:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9856, loss_cls: 2.5890, loss: 2.5890 +2025-06-03 18:56:31,114 - pyskl - INFO - Epoch [68][1400/2353] lr: 1.443e-02, eta: 23:11:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9825, loss_cls: 2.6314, loss: 2.6314 +2025-06-03 18:57:14,432 - pyskl - INFO - Epoch [68][1500/2353] lr: 1.442e-02, eta: 23:10:44, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9856, loss_cls: 2.4798, loss: 2.4798 +2025-06-03 18:57:57,696 - pyskl - INFO - Epoch [68][1600/2353] lr: 1.441e-02, eta: 23:10:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9881, loss_cls: 2.6420, loss: 2.6420 +2025-06-03 18:58:40,902 - pyskl - INFO - Epoch [68][1700/2353] lr: 1.440e-02, eta: 23:09:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9800, loss_cls: 2.7746, loss: 2.7746 +2025-06-03 18:59:24,270 - pyskl - INFO - Epoch [68][1800/2353] lr: 1.439e-02, eta: 23:08:36, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8681, top5_acc: 0.9781, loss_cls: 2.6666, loss: 2.6666 +2025-06-03 19:00:07,439 - pyskl - INFO - Epoch [68][1900/2353] lr: 1.438e-02, eta: 23:07:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9812, loss_cls: 2.5153, loss: 2.5153 +2025-06-03 19:00:50,678 - pyskl - INFO - Epoch [68][2000/2353] lr: 1.436e-02, eta: 23:07:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 2.6795, loss: 2.6795 +2025-06-03 19:01:33,931 - pyskl - INFO - Epoch [68][2100/2353] lr: 1.435e-02, eta: 23:06:27, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9819, loss_cls: 2.5271, loss: 2.5271 +2025-06-03 19:02:17,125 - pyskl - INFO - Epoch [68][2200/2353] lr: 1.434e-02, eta: 23:05:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9850, loss_cls: 2.6102, loss: 2.6102 +2025-06-03 19:03:00,323 - pyskl - INFO - Epoch [68][2300/2353] lr: 1.433e-02, eta: 23:05:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 2.6351, loss: 2.6351 +2025-06-03 19:03:23,796 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-06-03 19:04:48,654 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 19:04:48,729 - pyskl - INFO - +top1_acc 0.9008 +top5_acc 0.9920 +2025-06-03 19:04:48,732 - pyskl - INFO - Epoch(val) [68][1184] top1_acc: 0.9008, top5_acc: 0.9920 +2025-06-03 19:05:51,706 - pyskl - INFO - Epoch [69][100/2353] lr: 1.432e-02, eta: 23:03:52, time: 0.630, data_time: 0.199, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9862, loss_cls: 2.6380, loss: 2.6380 +2025-06-03 19:06:34,804 - pyskl - INFO - Epoch [69][200/2353] lr: 1.430e-02, eta: 23:03:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9894, loss_cls: 2.5502, loss: 2.5502 +2025-06-03 19:07:17,639 - pyskl - INFO - Epoch [69][300/2353] lr: 1.429e-02, eta: 23:02:25, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 2.6148, loss: 2.6148 +2025-06-03 19:08:00,781 - pyskl - INFO - Epoch [69][400/2353] lr: 1.428e-02, eta: 23:01:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 2.6059, loss: 2.6059 +2025-06-03 19:08:43,746 - pyskl - INFO - Epoch [69][500/2353] lr: 1.427e-02, eta: 23:00:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9806, loss_cls: 2.6569, loss: 2.6569 +2025-06-03 19:09:26,604 - pyskl - INFO - Epoch [69][600/2353] lr: 1.426e-02, eta: 23:00:16, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 2.5998, loss: 2.5998 +2025-06-03 19:10:09,696 - pyskl - INFO - Epoch [69][700/2353] lr: 1.425e-02, eta: 22:59:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9831, loss_cls: 2.6688, loss: 2.6688 +2025-06-03 19:10:52,770 - pyskl - INFO - Epoch [69][800/2353] lr: 1.424e-02, eta: 22:58:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9838, loss_cls: 2.5792, loss: 2.5792 +2025-06-03 19:11:35,646 - pyskl - INFO - Epoch [69][900/2353] lr: 1.423e-02, eta: 22:58:07, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9800, loss_cls: 2.6570, loss: 2.6570 +2025-06-03 19:12:18,745 - pyskl - INFO - Epoch [69][1000/2353] lr: 1.422e-02, eta: 22:57:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9825, loss_cls: 2.7067, loss: 2.7067 +2025-06-03 19:13:01,893 - pyskl - INFO - Epoch [69][1100/2353] lr: 1.420e-02, eta: 22:56:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9844, loss_cls: 2.6433, loss: 2.6433 +2025-06-03 19:13:45,146 - pyskl - INFO - Epoch [69][1200/2353] lr: 1.419e-02, eta: 22:55:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9838, loss_cls: 2.6346, loss: 2.6346 +2025-06-03 19:14:27,847 - pyskl - INFO - Epoch [69][1300/2353] lr: 1.418e-02, eta: 22:55:14, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9831, loss_cls: 2.5902, loss: 2.5902 +2025-06-03 19:15:10,771 - pyskl - INFO - Epoch [69][1400/2353] lr: 1.417e-02, eta: 22:54:31, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9850, loss_cls: 2.5443, loss: 2.5443 +2025-06-03 19:15:53,936 - pyskl - INFO - Epoch [69][1500/2353] lr: 1.416e-02, eta: 22:53:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9825, loss_cls: 2.5728, loss: 2.5728 +2025-06-03 19:16:37,188 - pyskl - INFO - Epoch [69][1600/2353] lr: 1.415e-02, eta: 22:53:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9806, loss_cls: 2.6042, loss: 2.6042 +2025-06-03 19:17:20,385 - pyskl - INFO - Epoch [69][1700/2353] lr: 1.414e-02, eta: 22:52:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9912, loss_cls: 2.5644, loss: 2.5644 +2025-06-03 19:18:03,656 - pyskl - INFO - Epoch [69][1800/2353] lr: 1.413e-02, eta: 22:51:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9775, loss_cls: 2.7114, loss: 2.7114 +2025-06-03 19:18:46,663 - pyskl - INFO - Epoch [69][1900/2353] lr: 1.412e-02, eta: 22:50:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 2.6373, loss: 2.6373 +2025-06-03 19:19:29,713 - pyskl - INFO - Epoch [69][2000/2353] lr: 1.411e-02, eta: 22:50:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 2.6412, loss: 2.6412 +2025-06-03 19:20:13,143 - pyskl - INFO - Epoch [69][2100/2353] lr: 1.409e-02, eta: 22:49:31, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9819, loss_cls: 2.5982, loss: 2.5982 +2025-06-03 19:20:56,326 - pyskl - INFO - Epoch [69][2200/2353] lr: 1.408e-02, eta: 22:48:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9856, loss_cls: 2.7730, loss: 2.7730 +2025-06-03 19:21:39,402 - pyskl - INFO - Epoch [69][2300/2353] lr: 1.407e-02, eta: 22:48:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 2.6610, loss: 2.6610 +2025-06-03 19:22:02,854 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-06-03 19:23:27,758 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 19:23:27,836 - pyskl - INFO - +top1_acc 0.8916 +top5_acc 0.9902 +2025-06-03 19:23:27,839 - pyskl - INFO - Epoch(val) [69][1184] top1_acc: 0.8916, top5_acc: 0.9902 +2025-06-03 19:24:31,732 - pyskl - INFO - Epoch [70][100/2353] lr: 1.406e-02, eta: 22:46:57, time: 0.639, data_time: 0.202, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9806, loss_cls: 2.5509, loss: 2.5509 +2025-06-03 19:25:14,959 - pyskl - INFO - Epoch [70][200/2353] lr: 1.404e-02, eta: 22:46:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 2.5741, loss: 2.5741 +2025-06-03 19:25:58,092 - pyskl - INFO - Epoch [70][300/2353] lr: 1.403e-02, eta: 22:45:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 2.5330, loss: 2.5330 +2025-06-03 19:26:40,945 - pyskl - INFO - Epoch [70][400/2353] lr: 1.402e-02, eta: 22:44:48, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 2.5770, loss: 2.5770 +2025-06-03 19:27:24,193 - pyskl - INFO - Epoch [70][500/2353] lr: 1.401e-02, eta: 22:44:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 2.6903, loss: 2.6903 +2025-06-03 19:28:07,350 - pyskl - INFO - Epoch [70][600/2353] lr: 1.400e-02, eta: 22:43:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9794, loss_cls: 2.5684, loss: 2.5684 +2025-06-03 19:28:50,506 - pyskl - INFO - Epoch [70][700/2353] lr: 1.399e-02, eta: 22:42:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9894, loss_cls: 2.5906, loss: 2.5906 +2025-06-03 19:29:33,646 - pyskl - INFO - Epoch [70][800/2353] lr: 1.398e-02, eta: 22:41:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9862, loss_cls: 2.5830, loss: 2.5830 +2025-06-03 19:30:16,747 - pyskl - INFO - Epoch [70][900/2353] lr: 1.397e-02, eta: 22:41:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 2.6076, loss: 2.6076 +2025-06-03 19:30:59,950 - pyskl - INFO - Epoch [70][1000/2353] lr: 1.396e-02, eta: 22:40:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 2.5723, loss: 2.5723 +2025-06-03 19:31:43,164 - pyskl - INFO - Epoch [70][1100/2353] lr: 1.395e-02, eta: 22:39:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 2.5096, loss: 2.5096 +2025-06-03 19:32:26,370 - pyskl - INFO - Epoch [70][1200/2353] lr: 1.393e-02, eta: 22:39:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9819, loss_cls: 2.4854, loss: 2.4854 +2025-06-03 19:33:09,529 - pyskl - INFO - Epoch [70][1300/2353] lr: 1.392e-02, eta: 22:38:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9850, loss_cls: 2.6527, loss: 2.6527 +2025-06-03 19:33:52,712 - pyskl - INFO - Epoch [70][1400/2353] lr: 1.391e-02, eta: 22:37:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 2.5776, loss: 2.5776 +2025-06-03 19:34:35,838 - pyskl - INFO - Epoch [70][1500/2353] lr: 1.390e-02, eta: 22:36:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8675, top5_acc: 0.9850, loss_cls: 2.6204, loss: 2.6204 +2025-06-03 19:35:18,967 - pyskl - INFO - Epoch [70][1600/2353] lr: 1.389e-02, eta: 22:36:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 2.5881, loss: 2.5881 +2025-06-03 19:36:02,066 - pyskl - INFO - Epoch [70][1700/2353] lr: 1.388e-02, eta: 22:35:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 2.6167, loss: 2.6167 +2025-06-03 19:36:45,227 - pyskl - INFO - Epoch [70][1800/2353] lr: 1.387e-02, eta: 22:34:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8619, top5_acc: 0.9869, loss_cls: 2.6227, loss: 2.6227 +2025-06-03 19:37:28,542 - pyskl - INFO - Epoch [70][1900/2353] lr: 1.386e-02, eta: 22:34:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9856, loss_cls: 2.6017, loss: 2.6017 +2025-06-03 19:38:11,692 - pyskl - INFO - Epoch [70][2000/2353] lr: 1.385e-02, eta: 22:33:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9806, loss_cls: 2.6218, loss: 2.6218 +2025-06-03 19:38:54,811 - pyskl - INFO - Epoch [70][2100/2353] lr: 1.383e-02, eta: 22:32:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9838, loss_cls: 2.5832, loss: 2.5832 +2025-06-03 19:39:37,977 - pyskl - INFO - Epoch [70][2200/2353] lr: 1.382e-02, eta: 22:31:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9819, loss_cls: 2.5718, loss: 2.5718 +2025-06-03 19:40:21,112 - pyskl - INFO - Epoch [70][2300/2353] lr: 1.381e-02, eta: 22:31:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 2.6438, loss: 2.6438 +2025-06-03 19:40:44,563 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-06-03 19:49:36,832 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 19:49:36,908 - pyskl - INFO - +top1_acc 0.9059 +top5_acc 0.9924 +2025-06-03 19:49:36,912 - pyskl - INFO - Epoch(val) [70][1184] top1_acc: 0.9059, top5_acc: 0.9924 +2025-06-03 19:50:40,034 - pyskl - INFO - Epoch [71][100/2353] lr: 1.380e-02, eta: 22:30:03, time: 0.631, data_time: 0.202, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 2.5048, loss: 2.5048 +2025-06-03 19:51:22,947 - pyskl - INFO - Epoch [71][200/2353] lr: 1.378e-02, eta: 22:29:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9850, loss_cls: 2.4784, loss: 2.4784 +2025-06-03 19:52:06,129 - pyskl - INFO - Epoch [71][300/2353] lr: 1.377e-02, eta: 22:28:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 2.5114, loss: 2.5114 +2025-06-03 19:52:49,187 - pyskl - INFO - Epoch [71][400/2353] lr: 1.376e-02, eta: 22:27:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9844, loss_cls: 2.6133, loss: 2.6133 +2025-06-03 19:53:32,238 - pyskl - INFO - Epoch [71][500/2353] lr: 1.375e-02, eta: 22:27:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9794, loss_cls: 2.6935, loss: 2.6935 +2025-06-03 19:54:15,259 - pyskl - INFO - Epoch [71][600/2353] lr: 1.374e-02, eta: 22:26:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9875, loss_cls: 2.6494, loss: 2.6494 +2025-06-03 19:54:58,373 - pyskl - INFO - Epoch [71][700/2353] lr: 1.373e-02, eta: 22:25:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9856, loss_cls: 2.5896, loss: 2.5896 +2025-06-03 19:55:41,502 - pyskl - INFO - Epoch [71][800/2353] lr: 1.372e-02, eta: 22:25:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 2.5764, loss: 2.5764 +2025-06-03 19:56:24,667 - pyskl - INFO - Epoch [71][900/2353] lr: 1.371e-02, eta: 22:24:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8819, top5_acc: 0.9812, loss_cls: 2.5841, loss: 2.5841 +2025-06-03 19:57:07,717 - pyskl - INFO - Epoch [71][1000/2353] lr: 1.370e-02, eta: 22:23:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9831, loss_cls: 2.6419, loss: 2.6419 +2025-06-03 19:57:50,820 - pyskl - INFO - Epoch [71][1100/2353] lr: 1.368e-02, eta: 22:22:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 2.4786, loss: 2.4786 +2025-06-03 19:58:34,123 - pyskl - INFO - Epoch [71][1200/2353] lr: 1.367e-02, eta: 22:22:10, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 2.6362, loss: 2.6362 +2025-06-03 19:59:17,334 - pyskl - INFO - Epoch [71][1300/2353] lr: 1.366e-02, eta: 22:21:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 2.5000, loss: 2.5000 +2025-06-03 20:00:00,428 - pyskl - INFO - Epoch [71][1400/2353] lr: 1.365e-02, eta: 22:20:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 2.5106, loss: 2.5106 +2025-06-03 20:00:43,512 - pyskl - INFO - Epoch [71][1500/2353] lr: 1.364e-02, eta: 22:20:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 2.5634, loss: 2.5634 +2025-06-03 20:01:26,618 - pyskl - INFO - Epoch [71][1600/2353] lr: 1.363e-02, eta: 22:19:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8688, top5_acc: 0.9794, loss_cls: 2.6475, loss: 2.6475 +2025-06-03 20:02:09,792 - pyskl - INFO - Epoch [71][1700/2353] lr: 1.362e-02, eta: 22:18:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9812, loss_cls: 2.6872, loss: 2.6872 +2025-06-03 20:02:52,931 - pyskl - INFO - Epoch [71][1800/2353] lr: 1.361e-02, eta: 22:17:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8638, top5_acc: 0.9844, loss_cls: 2.6831, loss: 2.6831 +2025-06-03 20:03:36,121 - pyskl - INFO - Epoch [71][1900/2353] lr: 1.360e-02, eta: 22:17:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9800, loss_cls: 2.6913, loss: 2.6913 +2025-06-03 20:04:19,231 - pyskl - INFO - Epoch [71][2000/2353] lr: 1.359e-02, eta: 22:16:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9812, loss_cls: 2.6482, loss: 2.6482 +2025-06-03 20:05:02,309 - pyskl - INFO - Epoch [71][2100/2353] lr: 1.357e-02, eta: 22:15:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 2.6659, loss: 2.6659 +2025-06-03 20:05:45,321 - pyskl - INFO - Epoch [71][2200/2353] lr: 1.356e-02, eta: 22:15:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8762, top5_acc: 0.9788, loss_cls: 2.6430, loss: 2.6430 +2025-06-03 20:06:28,371 - pyskl - INFO - Epoch [71][2300/2353] lr: 1.355e-02, eta: 22:14:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 2.5609, loss: 2.5609 +2025-06-03 20:06:51,773 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-06-03 20:08:16,896 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 20:08:16,972 - pyskl - INFO - +top1_acc 0.9037 +top5_acc 0.9911 +2025-06-03 20:08:16,975 - pyskl - INFO - Epoch(val) [71][1184] top1_acc: 0.9037, top5_acc: 0.9911 +2025-06-03 20:09:20,360 - pyskl - INFO - Epoch [72][100/2353] lr: 1.353e-02, eta: 22:13:08, time: 0.634, data_time: 0.202, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 2.5005, loss: 2.5005 +2025-06-03 20:10:03,428 - pyskl - INFO - Epoch [72][200/2353] lr: 1.352e-02, eta: 22:12:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9838, loss_cls: 2.5417, loss: 2.5417 +2025-06-03 20:10:46,393 - pyskl - INFO - Epoch [72][300/2353] lr: 1.351e-02, eta: 22:11:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9875, loss_cls: 2.4497, loss: 2.4497 +2025-06-03 20:11:29,400 - pyskl - INFO - Epoch [72][400/2353] lr: 1.350e-02, eta: 22:10:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9844, loss_cls: 2.5488, loss: 2.5488 +2025-06-03 20:12:12,606 - pyskl - INFO - Epoch [72][500/2353] lr: 1.349e-02, eta: 22:10:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 2.5568, loss: 2.5568 +2025-06-03 20:12:55,753 - pyskl - INFO - Epoch [72][600/2353] lr: 1.348e-02, eta: 22:09:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 2.5804, loss: 2.5804 +2025-06-03 20:13:38,895 - pyskl - INFO - Epoch [72][700/2353] lr: 1.347e-02, eta: 22:08:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9850, loss_cls: 2.5225, loss: 2.5225 +2025-06-03 20:14:21,950 - pyskl - INFO - Epoch [72][800/2353] lr: 1.346e-02, eta: 22:08:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9869, loss_cls: 2.6104, loss: 2.6104 +2025-06-03 20:15:05,142 - pyskl - INFO - Epoch [72][900/2353] lr: 1.345e-02, eta: 22:07:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 2.5949, loss: 2.5949 +2025-06-03 20:15:48,334 - pyskl - INFO - Epoch [72][1000/2353] lr: 1.344e-02, eta: 22:06:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9838, loss_cls: 2.5255, loss: 2.5255 +2025-06-03 20:16:31,390 - pyskl - INFO - Epoch [72][1100/2353] lr: 1.342e-02, eta: 22:05:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 2.5880, loss: 2.5880 +2025-06-03 20:17:14,514 - pyskl - INFO - Epoch [72][1200/2353] lr: 1.341e-02, eta: 22:05:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9825, loss_cls: 2.5924, loss: 2.5924 +2025-06-03 20:17:57,604 - pyskl - INFO - Epoch [72][1300/2353] lr: 1.340e-02, eta: 22:04:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 2.5507, loss: 2.5507 +2025-06-03 20:18:40,558 - pyskl - INFO - Epoch [72][1400/2353] lr: 1.339e-02, eta: 22:03:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 2.6555, loss: 2.6555 +2025-06-03 20:19:23,522 - pyskl - INFO - Epoch [72][1500/2353] lr: 1.338e-02, eta: 22:03:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 2.6886, loss: 2.6886 +2025-06-03 20:20:06,743 - pyskl - INFO - Epoch [72][1600/2353] lr: 1.337e-02, eta: 22:02:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9844, loss_cls: 2.6133, loss: 2.6133 +2025-06-03 20:20:50,046 - pyskl - INFO - Epoch [72][1700/2353] lr: 1.336e-02, eta: 22:01:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8644, top5_acc: 0.9869, loss_cls: 2.6499, loss: 2.6499 +2025-06-03 20:21:33,287 - pyskl - INFO - Epoch [72][1800/2353] lr: 1.335e-02, eta: 22:00:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 2.5711, loss: 2.5711 +2025-06-03 20:22:16,386 - pyskl - INFO - Epoch [72][1900/2353] lr: 1.334e-02, eta: 22:00:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9806, loss_cls: 2.6487, loss: 2.6487 +2025-06-03 20:22:59,482 - pyskl - INFO - Epoch [72][2000/2353] lr: 1.332e-02, eta: 21:59:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9844, loss_cls: 2.6080, loss: 2.6080 +2025-06-03 20:23:42,528 - pyskl - INFO - Epoch [72][2100/2353] lr: 1.331e-02, eta: 21:58:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9812, loss_cls: 2.5580, loss: 2.5580 +2025-06-03 20:24:25,615 - pyskl - INFO - Epoch [72][2200/2353] lr: 1.330e-02, eta: 21:58:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9844, loss_cls: 2.6007, loss: 2.6007 +2025-06-03 20:25:08,663 - pyskl - INFO - Epoch [72][2300/2353] lr: 1.329e-02, eta: 21:57:22, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8669, top5_acc: 0.9812, loss_cls: 2.7080, loss: 2.7080 +2025-06-03 20:25:32,135 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-06-03 20:26:57,124 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 20:26:57,200 - pyskl - INFO - +top1_acc 0.8345 +top5_acc 0.9786 +2025-06-03 20:26:57,203 - pyskl - INFO - Epoch(val) [72][1184] top1_acc: 0.8345, top5_acc: 0.9786 +2025-06-03 20:28:00,668 - pyskl - INFO - Epoch [73][100/2353] lr: 1.327e-02, eta: 21:56:14, time: 0.635, data_time: 0.204, memory: 13127, top1_acc: 0.8831, top5_acc: 0.9844, loss_cls: 2.5170, loss: 2.5170 +2025-06-03 20:28:43,719 - pyskl - INFO - Epoch [73][200/2353] lr: 1.326e-02, eta: 21:55:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9838, loss_cls: 2.6904, loss: 2.6904 +2025-06-03 20:29:26,847 - pyskl - INFO - Epoch [73][300/2353] lr: 1.325e-02, eta: 21:54:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9925, loss_cls: 2.5130, loss: 2.5130 +2025-06-03 20:30:10,029 - pyskl - INFO - Epoch [73][400/2353] lr: 1.324e-02, eta: 21:54:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9850, loss_cls: 2.4812, loss: 2.4812 +2025-06-03 20:30:53,131 - pyskl - INFO - Epoch [73][500/2353] lr: 1.323e-02, eta: 21:53:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9931, loss_cls: 2.4718, loss: 2.4718 +2025-06-03 20:31:36,192 - pyskl - INFO - Epoch [73][600/2353] lr: 1.322e-02, eta: 21:52:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 2.4726, loss: 2.4726 +2025-06-03 20:32:19,253 - pyskl - INFO - Epoch [73][700/2353] lr: 1.321e-02, eta: 21:51:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9844, loss_cls: 2.5079, loss: 2.5079 +2025-06-03 20:33:02,268 - pyskl - INFO - Epoch [73][800/2353] lr: 1.320e-02, eta: 21:51:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8744, top5_acc: 0.9762, loss_cls: 2.6560, loss: 2.6560 +2025-06-03 20:33:45,307 - pyskl - INFO - Epoch [73][900/2353] lr: 1.319e-02, eta: 21:50:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9850, loss_cls: 2.6523, loss: 2.6523 +2025-06-03 20:34:28,423 - pyskl - INFO - Epoch [73][1000/2353] lr: 1.317e-02, eta: 21:49:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9856, loss_cls: 2.5029, loss: 2.5029 +2025-06-03 20:35:11,463 - pyskl - INFO - Epoch [73][1100/2353] lr: 1.316e-02, eta: 21:49:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 2.5437, loss: 2.5437 +2025-06-03 20:35:54,595 - pyskl - INFO - Epoch [73][1200/2353] lr: 1.315e-02, eta: 21:48:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 2.5690, loss: 2.5690 +2025-06-03 20:36:37,744 - pyskl - INFO - Epoch [73][1300/2353] lr: 1.314e-02, eta: 21:47:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 2.4712, loss: 2.4712 +2025-06-03 20:37:20,939 - pyskl - INFO - Epoch [73][1400/2353] lr: 1.313e-02, eta: 21:46:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 2.6141, loss: 2.6141 +2025-06-03 20:38:04,280 - pyskl - INFO - Epoch [73][1500/2353] lr: 1.312e-02, eta: 21:46:12, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 2.4902, loss: 2.4902 +2025-06-03 20:38:47,551 - pyskl - INFO - Epoch [73][1600/2353] lr: 1.311e-02, eta: 21:45:29, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 2.4812, loss: 2.4812 +2025-06-03 20:39:30,863 - pyskl - INFO - Epoch [73][1700/2353] lr: 1.310e-02, eta: 21:44:47, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9850, loss_cls: 2.4808, loss: 2.4808 +2025-06-03 20:40:14,152 - pyskl - INFO - Epoch [73][1800/2353] lr: 1.309e-02, eta: 21:44:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9825, loss_cls: 2.5964, loss: 2.5964 +2025-06-03 20:40:57,392 - pyskl - INFO - Epoch [73][1900/2353] lr: 1.307e-02, eta: 21:43:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9831, loss_cls: 2.5812, loss: 2.5812 +2025-06-03 20:41:40,549 - pyskl - INFO - Epoch [73][2000/2353] lr: 1.306e-02, eta: 21:42:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9831, loss_cls: 2.6141, loss: 2.6141 +2025-06-03 20:42:23,847 - pyskl - INFO - Epoch [73][2100/2353] lr: 1.305e-02, eta: 21:41:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8650, top5_acc: 0.9825, loss_cls: 2.6445, loss: 2.6445 +2025-06-03 20:43:07,034 - pyskl - INFO - Epoch [73][2200/2353] lr: 1.304e-02, eta: 21:41:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8781, top5_acc: 0.9800, loss_cls: 2.6036, loss: 2.6036 +2025-06-03 20:43:50,355 - pyskl - INFO - Epoch [73][2300/2353] lr: 1.303e-02, eta: 21:40:29, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 2.6054, loss: 2.6054 +2025-06-03 20:44:14,073 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-06-03 20:45:39,663 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 20:45:39,739 - pyskl - INFO - +top1_acc 0.9005 +top5_acc 0.9909 +2025-06-03 20:45:39,742 - pyskl - INFO - Epoch(val) [73][1184] top1_acc: 0.9005, top5_acc: 0.9909 +2025-06-03 20:46:42,913 - pyskl - INFO - Epoch [74][100/2353] lr: 1.301e-02, eta: 21:39:21, time: 0.632, data_time: 0.200, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9844, loss_cls: 2.4982, loss: 2.4982 +2025-06-03 20:47:26,052 - pyskl - INFO - Epoch [74][200/2353] lr: 1.300e-02, eta: 21:38:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 2.4988, loss: 2.4988 +2025-06-03 20:48:09,268 - pyskl - INFO - Epoch [74][300/2353] lr: 1.299e-02, eta: 21:37:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9925, loss_cls: 2.4683, loss: 2.4683 +2025-06-03 20:48:52,363 - pyskl - INFO - Epoch [74][400/2353] lr: 1.298e-02, eta: 21:37:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9919, loss_cls: 2.5033, loss: 2.5033 +2025-06-03 20:49:35,451 - pyskl - INFO - Epoch [74][500/2353] lr: 1.297e-02, eta: 21:36:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9912, loss_cls: 2.5254, loss: 2.5254 +2025-06-03 20:50:18,487 - pyskl - INFO - Epoch [74][600/2353] lr: 1.296e-02, eta: 21:35:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9912, loss_cls: 2.5542, loss: 2.5542 +2025-06-03 20:51:01,497 - pyskl - INFO - Epoch [74][700/2353] lr: 1.295e-02, eta: 21:35:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9825, loss_cls: 2.6075, loss: 2.6075 +2025-06-03 20:51:44,438 - pyskl - INFO - Epoch [74][800/2353] lr: 1.293e-02, eta: 21:34:19, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 2.4533, loss: 2.4533 +2025-06-03 20:52:27,474 - pyskl - INFO - Epoch [74][900/2353] lr: 1.292e-02, eta: 21:33:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 2.5570, loss: 2.5570 +2025-06-03 20:53:10,506 - pyskl - INFO - Epoch [74][1000/2353] lr: 1.291e-02, eta: 21:32:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 2.5913, loss: 2.5913 +2025-06-03 20:53:53,429 - pyskl - INFO - Epoch [74][1100/2353] lr: 1.290e-02, eta: 21:32:10, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9838, loss_cls: 2.4673, loss: 2.4673 +2025-06-03 20:54:36,423 - pyskl - INFO - Epoch [74][1200/2353] lr: 1.289e-02, eta: 21:31:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9800, loss_cls: 2.5215, loss: 2.5215 +2025-06-03 20:55:19,414 - pyskl - INFO - Epoch [74][1300/2353] lr: 1.288e-02, eta: 21:30:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 2.4758, loss: 2.4758 +2025-06-03 20:56:02,518 - pyskl - INFO - Epoch [74][1400/2353] lr: 1.287e-02, eta: 21:30:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 2.5725, loss: 2.5725 +2025-06-03 20:56:45,529 - pyskl - INFO - Epoch [74][1500/2353] lr: 1.286e-02, eta: 21:29:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 2.6100, loss: 2.6100 +2025-06-03 20:57:28,695 - pyskl - INFO - Epoch [74][1600/2353] lr: 1.285e-02, eta: 21:28:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 2.5360, loss: 2.5360 +2025-06-03 20:58:11,935 - pyskl - INFO - Epoch [74][1700/2353] lr: 1.283e-02, eta: 21:27:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 2.4182, loss: 2.4182 +2025-06-03 20:58:55,172 - pyskl - INFO - Epoch [74][1800/2353] lr: 1.282e-02, eta: 21:27:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9906, loss_cls: 2.5195, loss: 2.5195 +2025-06-03 20:59:38,397 - pyskl - INFO - Epoch [74][1900/2353] lr: 1.281e-02, eta: 21:26:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 2.4825, loss: 2.4825 +2025-06-03 21:00:21,472 - pyskl - INFO - Epoch [74][2000/2353] lr: 1.280e-02, eta: 21:25:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 2.4815, loss: 2.4815 +2025-06-03 21:01:04,627 - pyskl - INFO - Epoch [74][2100/2353] lr: 1.279e-02, eta: 21:25:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8700, top5_acc: 0.9831, loss_cls: 2.6409, loss: 2.6409 +2025-06-03 21:01:47,761 - pyskl - INFO - Epoch [74][2200/2353] lr: 1.278e-02, eta: 21:24:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 2.5240, loss: 2.5240 +2025-06-03 21:02:30,954 - pyskl - INFO - Epoch [74][2300/2353] lr: 1.277e-02, eta: 21:23:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9825, loss_cls: 2.6138, loss: 2.6138 +2025-06-03 21:02:54,322 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-06-03 21:04:19,175 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 21:04:19,251 - pyskl - INFO - +top1_acc 0.9005 +top5_acc 0.9901 +2025-06-03 21:04:19,255 - pyskl - INFO - Epoch(val) [74][1184] top1_acc: 0.9005, top5_acc: 0.9901 +2025-06-03 21:05:22,586 - pyskl - INFO - Epoch [75][100/2353] lr: 1.275e-02, eta: 21:22:26, time: 0.633, data_time: 0.201, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 2.4724, loss: 2.4724 +2025-06-03 21:06:05,782 - pyskl - INFO - Epoch [75][200/2353] lr: 1.274e-02, eta: 21:21:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9844, loss_cls: 2.4088, loss: 2.4088 +2025-06-03 21:06:49,024 - pyskl - INFO - Epoch [75][300/2353] lr: 1.273e-02, eta: 21:21:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9831, loss_cls: 2.4735, loss: 2.4735 +2025-06-03 21:07:32,314 - pyskl - INFO - Epoch [75][400/2353] lr: 1.272e-02, eta: 21:20:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 2.4626, loss: 2.4626 +2025-06-03 21:08:15,608 - pyskl - INFO - Epoch [75][500/2353] lr: 1.271e-02, eta: 21:19:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9856, loss_cls: 2.3816, loss: 2.3816 +2025-06-03 21:08:58,738 - pyskl - INFO - Epoch [75][600/2353] lr: 1.270e-02, eta: 21:18:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 2.5142, loss: 2.5142 +2025-06-03 21:09:41,779 - pyskl - INFO - Epoch [75][700/2353] lr: 1.268e-02, eta: 21:18:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 2.5000, loss: 2.5000 +2025-06-03 21:10:24,837 - pyskl - INFO - Epoch [75][800/2353] lr: 1.267e-02, eta: 21:17:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 2.5082, loss: 2.5082 +2025-06-03 21:11:07,984 - pyskl - INFO - Epoch [75][900/2353] lr: 1.266e-02, eta: 21:16:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9850, loss_cls: 2.4903, loss: 2.4903 +2025-06-03 21:11:51,002 - pyskl - INFO - Epoch [75][1000/2353] lr: 1.265e-02, eta: 21:15:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9912, loss_cls: 2.5762, loss: 2.5762 +2025-06-03 21:12:34,005 - pyskl - INFO - Epoch [75][1100/2353] lr: 1.264e-02, eta: 21:15:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 2.5210, loss: 2.5210 +2025-06-03 21:13:17,066 - pyskl - INFO - Epoch [75][1200/2353] lr: 1.263e-02, eta: 21:14:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8756, top5_acc: 0.9775, loss_cls: 2.6037, loss: 2.6037 +2025-06-03 21:14:00,147 - pyskl - INFO - Epoch [75][1300/2353] lr: 1.262e-02, eta: 21:13:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9862, loss_cls: 2.4467, loss: 2.4467 +2025-06-03 21:14:43,299 - pyskl - INFO - Epoch [75][1400/2353] lr: 1.261e-02, eta: 21:13:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 2.5523, loss: 2.5523 +2025-06-03 21:15:26,525 - pyskl - INFO - Epoch [75][1500/2353] lr: 1.260e-02, eta: 21:12:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.4660, loss: 2.4660 +2025-06-03 21:16:09,762 - pyskl - INFO - Epoch [75][1600/2353] lr: 1.258e-02, eta: 21:11:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 2.4676, loss: 2.4676 +2025-06-03 21:16:53,039 - pyskl - INFO - Epoch [75][1700/2353] lr: 1.257e-02, eta: 21:10:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 2.5823, loss: 2.5823 +2025-06-03 21:17:36,158 - pyskl - INFO - Epoch [75][1800/2353] lr: 1.256e-02, eta: 21:10:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8719, top5_acc: 0.9869, loss_cls: 2.5981, loss: 2.5981 +2025-06-03 21:18:19,354 - pyskl - INFO - Epoch [75][1900/2353] lr: 1.255e-02, eta: 21:09:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 2.5826, loss: 2.5826 +2025-06-03 21:19:02,525 - pyskl - INFO - Epoch [75][2000/2353] lr: 1.254e-02, eta: 21:08:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9831, loss_cls: 2.5691, loss: 2.5691 +2025-06-03 21:19:45,631 - pyskl - INFO - Epoch [75][2100/2353] lr: 1.253e-02, eta: 21:08:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9844, loss_cls: 2.5982, loss: 2.5982 +2025-06-03 21:20:28,618 - pyskl - INFO - Epoch [75][2200/2353] lr: 1.252e-02, eta: 21:07:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9869, loss_cls: 2.5308, loss: 2.5308 +2025-06-03 21:21:11,622 - pyskl - INFO - Epoch [75][2300/2353] lr: 1.251e-02, eta: 21:06:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9800, loss_cls: 2.5994, loss: 2.5994 +2025-06-03 21:21:34,970 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-06-03 21:30:10,221 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 21:30:10,305 - pyskl - INFO - +top1_acc 0.8887 +top5_acc 0.9890 +2025-06-03 21:30:10,309 - pyskl - INFO - Epoch(val) [75][1184] top1_acc: 0.8887, top5_acc: 0.9890 +2025-06-03 21:31:15,082 - pyskl - INFO - Epoch [76][100/2353] lr: 1.249e-02, eta: 21:05:34, time: 0.648, data_time: 0.215, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 2.3599, loss: 2.3599 +2025-06-03 21:31:58,184 - pyskl - INFO - Epoch [76][200/2353] lr: 1.248e-02, eta: 21:04:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8800, top5_acc: 0.9900, loss_cls: 2.5297, loss: 2.5297 +2025-06-03 21:32:41,262 - pyskl - INFO - Epoch [76][300/2353] lr: 1.247e-02, eta: 21:04:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 2.4501, loss: 2.4501 +2025-06-03 21:33:24,388 - pyskl - INFO - Epoch [76][400/2353] lr: 1.246e-02, eta: 21:03:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9900, loss_cls: 2.4807, loss: 2.4807 +2025-06-03 21:34:07,524 - pyskl - INFO - Epoch [76][500/2353] lr: 1.244e-02, eta: 21:02:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9900, loss_cls: 2.4814, loss: 2.4814 +2025-06-03 21:34:50,644 - pyskl - INFO - Epoch [76][600/2353] lr: 1.243e-02, eta: 21:01:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8794, top5_acc: 0.9831, loss_cls: 2.4941, loss: 2.4941 +2025-06-03 21:35:33,702 - pyskl - INFO - Epoch [76][700/2353] lr: 1.242e-02, eta: 21:01:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9862, loss_cls: 2.4800, loss: 2.4800 +2025-06-03 21:36:16,725 - pyskl - INFO - Epoch [76][800/2353] lr: 1.241e-02, eta: 21:00:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9856, loss_cls: 2.4568, loss: 2.4568 +2025-06-03 21:36:59,781 - pyskl - INFO - Epoch [76][900/2353] lr: 1.240e-02, eta: 20:59:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9856, loss_cls: 2.4900, loss: 2.4900 +2025-06-03 21:37:42,932 - pyskl - INFO - Epoch [76][1000/2353] lr: 1.239e-02, eta: 20:59:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 2.4748, loss: 2.4748 +2025-06-03 21:38:25,905 - pyskl - INFO - Epoch [76][1100/2353] lr: 1.238e-02, eta: 20:58:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 2.5301, loss: 2.5301 +2025-06-03 21:39:08,877 - pyskl - INFO - Epoch [76][1200/2353] lr: 1.237e-02, eta: 20:57:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 2.4972, loss: 2.4972 +2025-06-03 21:39:51,916 - pyskl - INFO - Epoch [76][1300/2353] lr: 1.236e-02, eta: 20:56:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9838, loss_cls: 2.5557, loss: 2.5557 +2025-06-03 21:40:34,995 - pyskl - INFO - Epoch [76][1400/2353] lr: 1.234e-02, eta: 20:56:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 2.5218, loss: 2.5218 +2025-06-03 21:41:18,076 - pyskl - INFO - Epoch [76][1500/2353] lr: 1.233e-02, eta: 20:55:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 2.5053, loss: 2.5053 +2025-06-03 21:42:01,326 - pyskl - INFO - Epoch [76][1600/2353] lr: 1.232e-02, eta: 20:54:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9806, loss_cls: 2.5458, loss: 2.5458 +2025-06-03 21:42:44,432 - pyskl - INFO - Epoch [76][1700/2353] lr: 1.231e-02, eta: 20:54:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9900, loss_cls: 2.5477, loss: 2.5477 +2025-06-03 21:43:27,676 - pyskl - INFO - Epoch [76][1800/2353] lr: 1.230e-02, eta: 20:53:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9800, loss_cls: 2.4969, loss: 2.4969 +2025-06-03 21:44:10,908 - pyskl - INFO - Epoch [76][1900/2353] lr: 1.229e-02, eta: 20:52:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9844, loss_cls: 2.4571, loss: 2.4571 +2025-06-03 21:44:54,200 - pyskl - INFO - Epoch [76][2000/2353] lr: 1.228e-02, eta: 20:51:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 2.4144, loss: 2.4144 +2025-06-03 21:45:37,336 - pyskl - INFO - Epoch [76][2100/2353] lr: 1.227e-02, eta: 20:51:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 2.4799, loss: 2.4799 +2025-06-03 21:46:20,566 - pyskl - INFO - Epoch [76][2200/2353] lr: 1.226e-02, eta: 20:50:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 2.4635, loss: 2.4635 +2025-06-03 21:47:03,731 - pyskl - INFO - Epoch [76][2300/2353] lr: 1.224e-02, eta: 20:49:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 2.5597, loss: 2.5597 +2025-06-03 21:47:27,261 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-06-03 21:48:52,060 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 21:48:52,136 - pyskl - INFO - +top1_acc 0.9166 +top5_acc 0.9922 +2025-06-03 21:48:52,201 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_66.pth was removed +2025-06-03 21:48:53,262 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_76.pth. +2025-06-03 21:48:53,263 - pyskl - INFO - Best top1_acc is 0.9166 at 76 epoch. +2025-06-03 21:48:53,266 - pyskl - INFO - Epoch(val) [76][1184] top1_acc: 0.9166, top5_acc: 0.9922 +2025-06-03 21:49:56,691 - pyskl - INFO - Epoch [77][100/2353] lr: 1.223e-02, eta: 20:48:40, time: 0.634, data_time: 0.199, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 2.3786, loss: 2.3786 +2025-06-03 21:50:40,032 - pyskl - INFO - Epoch [77][200/2353] lr: 1.222e-02, eta: 20:47:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9912, loss_cls: 2.4998, loss: 2.4998 +2025-06-03 21:51:23,244 - pyskl - INFO - Epoch [77][300/2353] lr: 1.220e-02, eta: 20:47:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9875, loss_cls: 2.4316, loss: 2.4316 +2025-06-03 21:52:06,503 - pyskl - INFO - Epoch [77][400/2353] lr: 1.219e-02, eta: 20:46:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9806, loss_cls: 2.4484, loss: 2.4484 +2025-06-03 21:52:49,653 - pyskl - INFO - Epoch [77][500/2353] lr: 1.218e-02, eta: 20:45:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9906, loss_cls: 2.4774, loss: 2.4774 +2025-06-03 21:53:32,815 - pyskl - INFO - Epoch [77][600/2353] lr: 1.217e-02, eta: 20:45:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 2.4186, loss: 2.4186 +2025-06-03 21:54:16,040 - pyskl - INFO - Epoch [77][700/2353] lr: 1.216e-02, eta: 20:44:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9925, loss_cls: 2.5079, loss: 2.5079 +2025-06-03 21:54:59,232 - pyskl - INFO - Epoch [77][800/2353] lr: 1.215e-02, eta: 20:43:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9862, loss_cls: 2.4840, loss: 2.4840 +2025-06-03 21:55:42,395 - pyskl - INFO - Epoch [77][900/2353] lr: 1.214e-02, eta: 20:42:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 2.5260, loss: 2.5260 +2025-06-03 21:56:25,584 - pyskl - INFO - Epoch [77][1000/2353] lr: 1.213e-02, eta: 20:42:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 2.4873, loss: 2.4873 +2025-06-03 21:57:08,826 - pyskl - INFO - Epoch [77][1100/2353] lr: 1.212e-02, eta: 20:41:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9862, loss_cls: 2.4648, loss: 2.4648 +2025-06-03 21:57:52,044 - pyskl - INFO - Epoch [77][1200/2353] lr: 1.210e-02, eta: 20:40:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 2.5376, loss: 2.5376 +2025-06-03 21:58:35,308 - pyskl - INFO - Epoch [77][1300/2353] lr: 1.209e-02, eta: 20:40:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9894, loss_cls: 2.4826, loss: 2.4826 +2025-06-03 21:59:18,458 - pyskl - INFO - Epoch [77][1400/2353] lr: 1.208e-02, eta: 20:39:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 2.5793, loss: 2.5793 +2025-06-03 22:00:01,659 - pyskl - INFO - Epoch [77][1500/2353] lr: 1.207e-02, eta: 20:38:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 2.4925, loss: 2.4925 +2025-06-03 22:00:44,949 - pyskl - INFO - Epoch [77][1600/2353] lr: 1.206e-02, eta: 20:37:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9838, loss_cls: 2.4441, loss: 2.4441 +2025-06-03 22:01:28,439 - pyskl - INFO - Epoch [77][1700/2353] lr: 1.205e-02, eta: 20:37:14, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9850, loss_cls: 2.4961, loss: 2.4961 +2025-06-03 22:02:11,537 - pyskl - INFO - Epoch [77][1800/2353] lr: 1.204e-02, eta: 20:36:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 2.5426, loss: 2.5426 +2025-06-03 22:02:54,615 - pyskl - INFO - Epoch [77][1900/2353] lr: 1.203e-02, eta: 20:35:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9844, loss_cls: 2.4625, loss: 2.4625 +2025-06-03 22:03:37,758 - pyskl - INFO - Epoch [77][2000/2353] lr: 1.202e-02, eta: 20:35:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9850, loss_cls: 2.4611, loss: 2.4611 +2025-06-03 22:04:21,238 - pyskl - INFO - Epoch [77][2100/2353] lr: 1.200e-02, eta: 20:34:22, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 2.4855, loss: 2.4855 +2025-06-03 22:05:04,419 - pyskl - INFO - Epoch [77][2200/2353] lr: 1.199e-02, eta: 20:33:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 2.4426, loss: 2.4426 +2025-06-03 22:05:47,442 - pyskl - INFO - Epoch [77][2300/2353] lr: 1.198e-02, eta: 20:32:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9856, loss_cls: 2.5223, loss: 2.5223 +2025-06-03 22:06:10,853 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-06-03 22:07:35,054 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 22:07:35,130 - pyskl - INFO - +top1_acc 0.9023 +top5_acc 0.9895 +2025-06-03 22:07:35,133 - pyskl - INFO - Epoch(val) [77][1184] top1_acc: 0.9023, top5_acc: 0.9895 +2025-06-03 22:08:38,210 - pyskl - INFO - Epoch [78][100/2353] lr: 1.197e-02, eta: 20:31:47, time: 0.631, data_time: 0.199, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9912, loss_cls: 2.4525, loss: 2.4525 +2025-06-03 22:09:21,342 - pyskl - INFO - Epoch [78][200/2353] lr: 1.195e-02, eta: 20:31:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 2.3874, loss: 2.3874 +2025-06-03 22:10:04,515 - pyskl - INFO - Epoch [78][300/2353] lr: 1.194e-02, eta: 20:30:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9912, loss_cls: 2.4576, loss: 2.4576 +2025-06-03 22:10:47,646 - pyskl - INFO - Epoch [78][400/2353] lr: 1.193e-02, eta: 20:29:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 2.4286, loss: 2.4286 +2025-06-03 22:11:30,956 - pyskl - INFO - Epoch [78][500/2353] lr: 1.192e-02, eta: 20:28:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9875, loss_cls: 2.4131, loss: 2.4131 +2025-06-03 22:12:14,204 - pyskl - INFO - Epoch [78][600/2353] lr: 1.191e-02, eta: 20:28:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 2.4013, loss: 2.4013 +2025-06-03 22:12:57,453 - pyskl - INFO - Epoch [78][700/2353] lr: 1.190e-02, eta: 20:27:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9838, loss_cls: 2.4185, loss: 2.4185 +2025-06-03 22:13:40,671 - pyskl - INFO - Epoch [78][800/2353] lr: 1.189e-02, eta: 20:26:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9856, loss_cls: 2.5136, loss: 2.5136 +2025-06-03 22:14:23,917 - pyskl - INFO - Epoch [78][900/2353] lr: 1.188e-02, eta: 20:26:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9812, loss_cls: 2.6156, loss: 2.6156 +2025-06-03 22:15:07,116 - pyskl - INFO - Epoch [78][1000/2353] lr: 1.187e-02, eta: 20:25:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9900, loss_cls: 2.4399, loss: 2.4399 +2025-06-03 22:15:50,120 - pyskl - INFO - Epoch [78][1100/2353] lr: 1.185e-02, eta: 20:24:38, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 2.5758, loss: 2.5758 +2025-06-03 22:16:33,225 - pyskl - INFO - Epoch [78][1200/2353] lr: 1.184e-02, eta: 20:23:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9850, loss_cls: 2.5970, loss: 2.5970 +2025-06-03 22:17:16,317 - pyskl - INFO - Epoch [78][1300/2353] lr: 1.183e-02, eta: 20:23:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9831, loss_cls: 2.5332, loss: 2.5332 +2025-06-03 22:17:59,409 - pyskl - INFO - Epoch [78][1400/2353] lr: 1.182e-02, eta: 20:22:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9856, loss_cls: 2.5400, loss: 2.5400 +2025-06-03 22:18:42,664 - pyskl - INFO - Epoch [78][1500/2353] lr: 1.181e-02, eta: 20:21:46, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 2.4309, loss: 2.4309 +2025-06-03 22:19:25,736 - pyskl - INFO - Epoch [78][1600/2353] lr: 1.180e-02, eta: 20:21:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9919, loss_cls: 2.4026, loss: 2.4026 +2025-06-03 22:20:08,980 - pyskl - INFO - Epoch [78][1700/2353] lr: 1.179e-02, eta: 20:20:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9850, loss_cls: 2.5886, loss: 2.5886 +2025-06-03 22:20:52,191 - pyskl - INFO - Epoch [78][1800/2353] lr: 1.178e-02, eta: 20:19:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 2.4719, loss: 2.4719 +2025-06-03 22:21:35,382 - pyskl - INFO - Epoch [78][1900/2353] lr: 1.177e-02, eta: 20:18:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9862, loss_cls: 2.4824, loss: 2.4824 +2025-06-03 22:22:18,526 - pyskl - INFO - Epoch [78][2000/2353] lr: 1.175e-02, eta: 20:18:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 2.4392, loss: 2.4392 +2025-06-03 22:23:01,592 - pyskl - INFO - Epoch [78][2100/2353] lr: 1.174e-02, eta: 20:17:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9844, loss_cls: 2.5669, loss: 2.5669 +2025-06-03 22:23:44,691 - pyskl - INFO - Epoch [78][2200/2353] lr: 1.173e-02, eta: 20:16:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8838, top5_acc: 0.9900, loss_cls: 2.5158, loss: 2.5158 +2025-06-03 22:24:27,786 - pyskl - INFO - Epoch [78][2300/2353] lr: 1.172e-02, eta: 20:16:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 2.4180, loss: 2.4180 +2025-06-03 22:24:51,143 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-06-03 22:26:15,795 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 22:26:15,871 - pyskl - INFO - +top1_acc 0.8959 +top5_acc 0.9894 +2025-06-03 22:26:15,874 - pyskl - INFO - Epoch(val) [78][1184] top1_acc: 0.8959, top5_acc: 0.9894 +2025-06-03 22:27:19,852 - pyskl - INFO - Epoch [79][100/2353] lr: 1.170e-02, eta: 20:14:55, time: 0.640, data_time: 0.203, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 2.4367, loss: 2.4367 +2025-06-03 22:28:03,232 - pyskl - INFO - Epoch [79][200/2353] lr: 1.169e-02, eta: 20:14:12, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 2.4036, loss: 2.4036 +2025-06-03 22:28:46,480 - pyskl - INFO - Epoch [79][300/2353] lr: 1.168e-02, eta: 20:13:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9844, loss_cls: 2.4422, loss: 2.4422 +2025-06-03 22:29:29,975 - pyskl - INFO - Epoch [79][400/2353] lr: 1.167e-02, eta: 20:12:47, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 2.4316, loss: 2.4316 +2025-06-03 22:30:13,366 - pyskl - INFO - Epoch [79][500/2353] lr: 1.166e-02, eta: 20:12:04, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 2.4862, loss: 2.4862 +2025-06-03 22:30:56,578 - pyskl - INFO - Epoch [79][600/2353] lr: 1.165e-02, eta: 20:11:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 2.3936, loss: 2.3936 +2025-06-03 22:31:39,716 - pyskl - INFO - Epoch [79][700/2353] lr: 1.164e-02, eta: 20:10:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 2.4043, loss: 2.4043 +2025-06-03 22:32:22,811 - pyskl - INFO - Epoch [79][800/2353] lr: 1.163e-02, eta: 20:09:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 2.4731, loss: 2.4731 +2025-06-03 22:33:05,873 - pyskl - INFO - Epoch [79][900/2353] lr: 1.162e-02, eta: 20:09:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 2.4595, loss: 2.4595 +2025-06-03 22:33:48,939 - pyskl - INFO - Epoch [79][1000/2353] lr: 1.160e-02, eta: 20:08:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9856, loss_cls: 2.5287, loss: 2.5287 +2025-06-03 22:34:31,984 - pyskl - INFO - Epoch [79][1100/2353] lr: 1.159e-02, eta: 20:07:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9831, loss_cls: 2.6211, loss: 2.6211 +2025-06-03 22:35:15,074 - pyskl - INFO - Epoch [79][1200/2353] lr: 1.158e-02, eta: 20:07:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 2.5300, loss: 2.5300 +2025-06-03 22:35:58,148 - pyskl - INFO - Epoch [79][1300/2353] lr: 1.157e-02, eta: 20:06:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9900, loss_cls: 2.4861, loss: 2.4861 +2025-06-03 22:36:41,228 - pyskl - INFO - Epoch [79][1400/2353] lr: 1.156e-02, eta: 20:05:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 2.4333, loss: 2.4333 +2025-06-03 22:37:24,348 - pyskl - INFO - Epoch [79][1500/2353] lr: 1.155e-02, eta: 20:04:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9844, loss_cls: 2.4666, loss: 2.4666 +2025-06-03 22:38:07,527 - pyskl - INFO - Epoch [79][1600/2353] lr: 1.154e-02, eta: 20:04:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 2.4590, loss: 2.4590 +2025-06-03 22:38:50,706 - pyskl - INFO - Epoch [79][1700/2353] lr: 1.153e-02, eta: 20:03:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 2.5299, loss: 2.5299 +2025-06-03 22:39:33,889 - pyskl - INFO - Epoch [79][1800/2353] lr: 1.152e-02, eta: 20:02:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 2.5013, loss: 2.5013 +2025-06-03 22:40:17,036 - pyskl - INFO - Epoch [79][1900/2353] lr: 1.150e-02, eta: 20:02:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 2.4327, loss: 2.4327 +2025-06-03 22:41:00,190 - pyskl - INFO - Epoch [79][2000/2353] lr: 1.149e-02, eta: 20:01:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 2.6314, loss: 2.6314 +2025-06-03 22:41:43,255 - pyskl - INFO - Epoch [79][2100/2353] lr: 1.148e-02, eta: 20:00:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 2.5174, loss: 2.5174 +2025-06-03 22:42:26,421 - pyskl - INFO - Epoch [79][2200/2353] lr: 1.147e-02, eta: 19:59:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 2.4457, loss: 2.4457 +2025-06-03 22:43:09,537 - pyskl - INFO - Epoch [79][2300/2353] lr: 1.146e-02, eta: 19:59:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 2.5090, loss: 2.5090 +2025-06-03 22:43:32,964 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-06-03 22:44:57,710 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 22:44:57,786 - pyskl - INFO - +top1_acc 0.8747 +top5_acc 0.9846 +2025-06-03 22:44:57,789 - pyskl - INFO - Epoch(val) [79][1184] top1_acc: 0.8747, top5_acc: 0.9846 +2025-06-03 22:46:00,978 - pyskl - INFO - Epoch [80][100/2353] lr: 1.144e-02, eta: 19:58:02, time: 0.632, data_time: 0.201, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 2.4296, loss: 2.4296 +2025-06-03 22:46:44,050 - pyskl - INFO - Epoch [80][200/2353] lr: 1.143e-02, eta: 19:57:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 2.3007, loss: 2.3007 +2025-06-03 22:47:27,261 - pyskl - INFO - Epoch [80][300/2353] lr: 1.142e-02, eta: 19:56:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 2.3408, loss: 2.3408 +2025-06-03 22:48:10,555 - pyskl - INFO - Epoch [80][400/2353] lr: 1.141e-02, eta: 19:55:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9881, loss_cls: 2.4551, loss: 2.4551 +2025-06-03 22:48:53,686 - pyskl - INFO - Epoch [80][500/2353] lr: 1.140e-02, eta: 19:55:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9881, loss_cls: 2.3744, loss: 2.3744 +2025-06-03 22:49:36,750 - pyskl - INFO - Epoch [80][600/2353] lr: 1.139e-02, eta: 19:54:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9856, loss_cls: 2.4820, loss: 2.4820 +2025-06-03 22:50:19,775 - pyskl - INFO - Epoch [80][700/2353] lr: 1.138e-02, eta: 19:53:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 2.3614, loss: 2.3614 +2025-06-03 22:51:02,812 - pyskl - INFO - Epoch [80][800/2353] lr: 1.137e-02, eta: 19:53:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 2.4029, loss: 2.4029 +2025-06-03 22:51:45,819 - pyskl - INFO - Epoch [80][900/2353] lr: 1.135e-02, eta: 19:52:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 2.4213, loss: 2.4213 +2025-06-03 22:52:28,882 - pyskl - INFO - Epoch [80][1000/2353] lr: 1.134e-02, eta: 19:51:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 2.4010, loss: 2.4010 +2025-06-03 22:53:11,888 - pyskl - INFO - Epoch [80][1100/2353] lr: 1.133e-02, eta: 19:50:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9856, loss_cls: 2.4343, loss: 2.4343 +2025-06-03 22:53:54,895 - pyskl - INFO - Epoch [80][1200/2353] lr: 1.132e-02, eta: 19:50:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9831, loss_cls: 2.4042, loss: 2.4042 +2025-06-03 22:54:37,937 - pyskl - INFO - Epoch [80][1300/2353] lr: 1.131e-02, eta: 19:49:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 2.3777, loss: 2.3777 +2025-06-03 22:55:20,926 - pyskl - INFO - Epoch [80][1400/2353] lr: 1.130e-02, eta: 19:48:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 2.4435, loss: 2.4435 +2025-06-03 22:56:03,908 - pyskl - INFO - Epoch [80][1500/2353] lr: 1.129e-02, eta: 19:47:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9856, loss_cls: 2.5674, loss: 2.5674 +2025-06-03 22:56:46,875 - pyskl - INFO - Epoch [80][1600/2353] lr: 1.128e-02, eta: 19:47:16, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9888, loss_cls: 2.4636, loss: 2.4636 +2025-06-03 22:57:29,694 - pyskl - INFO - Epoch [80][1700/2353] lr: 1.127e-02, eta: 19:46:33, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 2.4836, loss: 2.4836 +2025-06-03 22:58:12,602 - pyskl - INFO - Epoch [80][1800/2353] lr: 1.125e-02, eta: 19:45:50, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 2.5722, loss: 2.5722 +2025-06-03 22:58:55,571 - pyskl - INFO - Epoch [80][1900/2353] lr: 1.124e-02, eta: 19:45:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9906, loss_cls: 2.4449, loss: 2.4449 +2025-06-03 22:59:38,708 - pyskl - INFO - Epoch [80][2000/2353] lr: 1.123e-02, eta: 19:44:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9869, loss_cls: 2.3638, loss: 2.3638 +2025-06-03 23:00:21,695 - pyskl - INFO - Epoch [80][2100/2353] lr: 1.122e-02, eta: 19:43:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9931, loss_cls: 2.3614, loss: 2.3614 +2025-06-03 23:01:04,679 - pyskl - INFO - Epoch [80][2200/2353] lr: 1.121e-02, eta: 19:42:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9838, loss_cls: 2.4999, loss: 2.4999 +2025-06-03 23:01:47,531 - pyskl - INFO - Epoch [80][2300/2353] lr: 1.120e-02, eta: 19:42:14, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8850, top5_acc: 0.9869, loss_cls: 2.5197, loss: 2.5197 +2025-06-03 23:02:10,871 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-06-03 23:10:54,279 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 23:10:54,361 - pyskl - INFO - +top1_acc 0.9075 +top5_acc 0.9914 +2025-06-03 23:10:54,365 - pyskl - INFO - Epoch(val) [80][1184] top1_acc: 0.9075, top5_acc: 0.9914 +2025-06-03 23:11:59,521 - pyskl - INFO - Epoch [81][100/2353] lr: 1.118e-02, eta: 19:41:08, time: 0.651, data_time: 0.218, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 2.3646, loss: 2.3646 +2025-06-03 23:12:42,866 - pyskl - INFO - Epoch [81][200/2353] lr: 1.117e-02, eta: 19:40:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 2.4242, loss: 2.4242 +2025-06-03 23:13:26,277 - pyskl - INFO - Epoch [81][300/2353] lr: 1.116e-02, eta: 19:39:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 2.4256, loss: 2.4256 +2025-06-03 23:14:09,646 - pyskl - INFO - Epoch [81][400/2353] lr: 1.115e-02, eta: 19:38:59, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 2.4394, loss: 2.4394 +2025-06-03 23:14:53,074 - pyskl - INFO - Epoch [81][500/2353] lr: 1.114e-02, eta: 19:38:16, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9838, loss_cls: 2.4301, loss: 2.4301 +2025-06-03 23:15:36,459 - pyskl - INFO - Epoch [81][600/2353] lr: 1.113e-02, eta: 19:37:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9862, loss_cls: 2.5013, loss: 2.5013 +2025-06-03 23:16:19,711 - pyskl - INFO - Epoch [81][700/2353] lr: 1.112e-02, eta: 19:36:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8881, top5_acc: 0.9856, loss_cls: 2.4258, loss: 2.4258 +2025-06-03 23:17:02,987 - pyskl - INFO - Epoch [81][800/2353] lr: 1.111e-02, eta: 19:36:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 2.4332, loss: 2.4332 +2025-06-03 23:17:46,139 - pyskl - INFO - Epoch [81][900/2353] lr: 1.109e-02, eta: 19:35:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 2.4162, loss: 2.4162 +2025-06-03 23:18:29,238 - pyskl - INFO - Epoch [81][1000/2353] lr: 1.108e-02, eta: 19:34:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 2.4663, loss: 2.4663 +2025-06-03 23:19:12,402 - pyskl - INFO - Epoch [81][1100/2353] lr: 1.107e-02, eta: 19:33:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 2.3568, loss: 2.3568 +2025-06-03 23:19:55,748 - pyskl - INFO - Epoch [81][1200/2353] lr: 1.106e-02, eta: 19:33:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 2.4642, loss: 2.4642 +2025-06-03 23:20:38,947 - pyskl - INFO - Epoch [81][1300/2353] lr: 1.105e-02, eta: 19:32:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 2.4332, loss: 2.4332 +2025-06-03 23:21:22,155 - pyskl - INFO - Epoch [81][1400/2353] lr: 1.104e-02, eta: 19:31:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 2.4228, loss: 2.4228 +2025-06-03 23:22:05,349 - pyskl - INFO - Epoch [81][1500/2353] lr: 1.103e-02, eta: 19:31:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 2.5038, loss: 2.5038 +2025-06-03 23:22:48,495 - pyskl - INFO - Epoch [81][1600/2353] lr: 1.102e-02, eta: 19:30:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 2.4558, loss: 2.4558 +2025-06-03 23:23:31,485 - pyskl - INFO - Epoch [81][1700/2353] lr: 1.101e-02, eta: 19:29:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 2.3461, loss: 2.3461 +2025-06-03 23:24:14,548 - pyskl - INFO - Epoch [81][1800/2353] lr: 1.099e-02, eta: 19:28:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 2.4554, loss: 2.4554 +2025-06-03 23:24:57,741 - pyskl - INFO - Epoch [81][1900/2353] lr: 1.098e-02, eta: 19:28:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 2.3311, loss: 2.3311 +2025-06-03 23:25:40,992 - pyskl - INFO - Epoch [81][2000/2353] lr: 1.097e-02, eta: 19:27:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 2.4463, loss: 2.4463 +2025-06-03 23:26:24,188 - pyskl - INFO - Epoch [81][2100/2353] lr: 1.096e-02, eta: 19:26:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9900, loss_cls: 2.3351, loss: 2.3351 +2025-06-03 23:27:07,323 - pyskl - INFO - Epoch [81][2200/2353] lr: 1.095e-02, eta: 19:26:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9938, loss_cls: 2.3609, loss: 2.3609 +2025-06-03 23:27:50,387 - pyskl - INFO - Epoch [81][2300/2353] lr: 1.094e-02, eta: 19:25:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9931, loss_cls: 2.3911, loss: 2.3911 +2025-06-03 23:28:13,852 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-06-03 23:29:40,325 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 23:29:40,401 - pyskl - INFO - +top1_acc 0.9031 +top5_acc 0.9921 +2025-06-03 23:29:40,405 - pyskl - INFO - Epoch(val) [81][1184] top1_acc: 0.9031, top5_acc: 0.9921 +2025-06-03 23:30:44,680 - pyskl - INFO - Epoch [82][100/2353] lr: 1.092e-02, eta: 19:24:16, time: 0.643, data_time: 0.208, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9875, loss_cls: 2.3485, loss: 2.3485 +2025-06-03 23:31:27,866 - pyskl - INFO - Epoch [82][200/2353] lr: 1.091e-02, eta: 19:23:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9875, loss_cls: 2.3329, loss: 2.3329 +2025-06-03 23:32:11,086 - pyskl - INFO - Epoch [82][300/2353] lr: 1.090e-02, eta: 19:22:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9931, loss_cls: 2.3362, loss: 2.3362 +2025-06-03 23:32:54,338 - pyskl - INFO - Epoch [82][400/2353] lr: 1.089e-02, eta: 19:22:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9869, loss_cls: 2.3281, loss: 2.3281 +2025-06-03 23:33:37,575 - pyskl - INFO - Epoch [82][500/2353] lr: 1.088e-02, eta: 19:21:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 2.3794, loss: 2.3794 +2025-06-03 23:34:20,761 - pyskl - INFO - Epoch [82][600/2353] lr: 1.087e-02, eta: 19:20:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9844, loss_cls: 2.5192, loss: 2.5192 +2025-06-03 23:35:03,956 - pyskl - INFO - Epoch [82][700/2353] lr: 1.086e-02, eta: 19:19:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9862, loss_cls: 2.4395, loss: 2.4395 +2025-06-03 23:35:47,101 - pyskl - INFO - Epoch [82][800/2353] lr: 1.085e-02, eta: 19:19:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 2.3273, loss: 2.3273 +2025-06-03 23:36:30,039 - pyskl - INFO - Epoch [82][900/2353] lr: 1.083e-02, eta: 19:18:33, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9869, loss_cls: 2.4324, loss: 2.4324 +2025-06-03 23:37:13,061 - pyskl - INFO - Epoch [82][1000/2353] lr: 1.082e-02, eta: 19:17:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 2.4261, loss: 2.4261 +2025-06-03 23:37:56,078 - pyskl - INFO - Epoch [82][1100/2353] lr: 1.081e-02, eta: 19:17:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 2.4420, loss: 2.4420 +2025-06-03 23:38:39,038 - pyskl - INFO - Epoch [82][1200/2353] lr: 1.080e-02, eta: 19:16:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9919, loss_cls: 2.3186, loss: 2.3186 +2025-06-03 23:39:22,059 - pyskl - INFO - Epoch [82][1300/2353] lr: 1.079e-02, eta: 19:15:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 2.4440, loss: 2.4440 +2025-06-03 23:40:05,246 - pyskl - INFO - Epoch [82][1400/2353] lr: 1.078e-02, eta: 19:14:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9862, loss_cls: 2.5338, loss: 2.5338 +2025-06-03 23:40:48,291 - pyskl - INFO - Epoch [82][1500/2353] lr: 1.077e-02, eta: 19:14:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8912, top5_acc: 0.9919, loss_cls: 2.4379, loss: 2.4379 +2025-06-03 23:41:31,404 - pyskl - INFO - Epoch [82][1600/2353] lr: 1.076e-02, eta: 19:13:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.3936, loss: 2.3936 +2025-06-03 23:42:14,463 - pyskl - INFO - Epoch [82][1700/2353] lr: 1.075e-02, eta: 19:12:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9931, loss_cls: 2.4456, loss: 2.4456 +2025-06-03 23:42:57,635 - pyskl - INFO - Epoch [82][1800/2353] lr: 1.073e-02, eta: 19:12:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 2.4135, loss: 2.4135 +2025-06-03 23:43:40,900 - pyskl - INFO - Epoch [82][1900/2353] lr: 1.072e-02, eta: 19:11:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 2.3850, loss: 2.3850 +2025-06-03 23:44:24,123 - pyskl - INFO - Epoch [82][2000/2353] lr: 1.071e-02, eta: 19:10:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9900, loss_cls: 2.4548, loss: 2.4548 +2025-06-03 23:45:07,665 - pyskl - INFO - Epoch [82][2100/2353] lr: 1.070e-02, eta: 19:09:57, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.8825, top5_acc: 0.9875, loss_cls: 2.4640, loss: 2.4640 +2025-06-03 23:45:51,028 - pyskl - INFO - Epoch [82][2200/2353] lr: 1.069e-02, eta: 19:09:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8788, top5_acc: 0.9831, loss_cls: 2.5826, loss: 2.5826 +2025-06-03 23:46:34,351 - pyskl - INFO - Epoch [82][2300/2353] lr: 1.068e-02, eta: 19:08:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 2.4230, loss: 2.4230 +2025-06-03 23:46:57,905 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-06-03 23:48:23,462 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-03 23:48:23,539 - pyskl - INFO - +top1_acc 0.9196 +top5_acc 0.9937 +2025-06-03 23:48:23,610 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_76.pth was removed +2025-06-03 23:48:24,699 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_82.pth. +2025-06-03 23:48:24,700 - pyskl - INFO - Best top1_acc is 0.9196 at 82 epoch. +2025-06-03 23:48:24,703 - pyskl - INFO - Epoch(val) [82][1184] top1_acc: 0.9196, top5_acc: 0.9937 +2025-06-03 23:49:28,359 - pyskl - INFO - Epoch [83][100/2353] lr: 1.066e-02, eta: 19:07:23, time: 0.637, data_time: 0.206, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 2.3682, loss: 2.3682 +2025-06-03 23:50:11,536 - pyskl - INFO - Epoch [83][200/2353] lr: 1.065e-02, eta: 19:06:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 2.3704, loss: 2.3704 +2025-06-03 23:50:54,667 - pyskl - INFO - Epoch [83][300/2353] lr: 1.064e-02, eta: 19:05:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 2.3329, loss: 2.3329 +2025-06-03 23:51:37,803 - pyskl - INFO - Epoch [83][400/2353] lr: 1.063e-02, eta: 19:05:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 2.3868, loss: 2.3868 +2025-06-03 23:52:21,019 - pyskl - INFO - Epoch [83][500/2353] lr: 1.062e-02, eta: 19:04:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 2.3652, loss: 2.3652 +2025-06-03 23:53:04,269 - pyskl - INFO - Epoch [83][600/2353] lr: 1.061e-02, eta: 19:03:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 2.3929, loss: 2.3929 +2025-06-03 23:53:47,515 - pyskl - INFO - Epoch [83][700/2353] lr: 1.060e-02, eta: 19:03:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 2.4544, loss: 2.4544 +2025-06-03 23:54:30,692 - pyskl - INFO - Epoch [83][800/2353] lr: 1.059e-02, eta: 19:02:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9944, loss_cls: 2.3171, loss: 2.3171 +2025-06-03 23:55:13,746 - pyskl - INFO - Epoch [83][900/2353] lr: 1.058e-02, eta: 19:01:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9850, loss_cls: 2.2988, loss: 2.2988 +2025-06-03 23:55:56,801 - pyskl - INFO - Epoch [83][1000/2353] lr: 1.056e-02, eta: 19:00:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 2.4202, loss: 2.4202 +2025-06-03 23:56:39,776 - pyskl - INFO - Epoch [83][1100/2353] lr: 1.055e-02, eta: 19:00:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8925, top5_acc: 0.9938, loss_cls: 2.3876, loss: 2.3876 +2025-06-03 23:57:22,834 - pyskl - INFO - Epoch [83][1200/2353] lr: 1.054e-02, eta: 18:59:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9869, loss_cls: 2.4321, loss: 2.4321 +2025-06-03 23:58:06,001 - pyskl - INFO - Epoch [83][1300/2353] lr: 1.053e-02, eta: 18:58:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9925, loss_cls: 2.3731, loss: 2.3731 +2025-06-03 23:58:49,083 - pyskl - INFO - Epoch [83][1400/2353] lr: 1.052e-02, eta: 18:58:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 2.4658, loss: 2.4658 +2025-06-03 23:59:32,163 - pyskl - INFO - Epoch [83][1500/2353] lr: 1.051e-02, eta: 18:57:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9862, loss_cls: 2.4030, loss: 2.4030 +2025-06-04 00:00:15,369 - pyskl - INFO - Epoch [83][1600/2353] lr: 1.050e-02, eta: 18:56:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 2.4784, loss: 2.4784 +2025-06-04 00:00:58,386 - pyskl - INFO - Epoch [83][1700/2353] lr: 1.049e-02, eta: 18:55:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 2.4283, loss: 2.4283 +2025-06-04 00:01:41,443 - pyskl - INFO - Epoch [83][1800/2353] lr: 1.048e-02, eta: 18:55:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9925, loss_cls: 2.4058, loss: 2.4058 +2025-06-04 00:02:24,663 - pyskl - INFO - Epoch [83][1900/2353] lr: 1.047e-02, eta: 18:54:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 2.3977, loss: 2.3977 +2025-06-04 00:03:07,811 - pyskl - INFO - Epoch [83][2000/2353] lr: 1.045e-02, eta: 18:53:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 2.3787, loss: 2.3787 +2025-06-04 00:03:51,111 - pyskl - INFO - Epoch [83][2100/2353] lr: 1.044e-02, eta: 18:53:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 2.4454, loss: 2.4454 +2025-06-04 00:04:34,323 - pyskl - INFO - Epoch [83][2200/2353] lr: 1.043e-02, eta: 18:52:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 2.4378, loss: 2.4378 +2025-06-04 00:05:17,543 - pyskl - INFO - Epoch [83][2300/2353] lr: 1.042e-02, eta: 18:51:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 2.3818, loss: 2.3818 +2025-06-04 00:05:40,975 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-06-04 00:07:06,384 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 00:07:06,460 - pyskl - INFO - +top1_acc 0.9067 +top5_acc 0.9921 +2025-06-04 00:07:06,463 - pyskl - INFO - Epoch(val) [83][1184] top1_acc: 0.9067, top5_acc: 0.9921 +2025-06-04 00:08:10,294 - pyskl - INFO - Epoch [84][100/2353] lr: 1.040e-02, eta: 18:50:30, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9881, loss_cls: 2.1959, loss: 2.1959 +2025-06-04 00:08:53,451 - pyskl - INFO - Epoch [84][200/2353] lr: 1.039e-02, eta: 18:49:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 2.4203, loss: 2.4203 +2025-06-04 00:09:36,570 - pyskl - INFO - Epoch [84][300/2353] lr: 1.038e-02, eta: 18:49:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 2.2473, loss: 2.2473 +2025-06-04 00:10:19,463 - pyskl - INFO - Epoch [84][400/2353] lr: 1.037e-02, eta: 18:48:21, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9831, loss_cls: 2.4053, loss: 2.4053 +2025-06-04 00:11:02,697 - pyskl - INFO - Epoch [84][500/2353] lr: 1.036e-02, eta: 18:47:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9875, loss_cls: 2.3237, loss: 2.3237 +2025-06-04 00:11:46,003 - pyskl - INFO - Epoch [84][600/2353] lr: 1.035e-02, eta: 18:46:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9944, loss_cls: 2.2846, loss: 2.2846 +2025-06-04 00:12:29,286 - pyskl - INFO - Epoch [84][700/2353] lr: 1.034e-02, eta: 18:46:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9875, loss_cls: 2.2998, loss: 2.2998 +2025-06-04 00:13:12,684 - pyskl - INFO - Epoch [84][800/2353] lr: 1.033e-02, eta: 18:45:30, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 2.3878, loss: 2.3878 +2025-06-04 00:13:56,049 - pyskl - INFO - Epoch [84][900/2353] lr: 1.032e-02, eta: 18:44:47, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9844, loss_cls: 2.4263, loss: 2.4263 +2025-06-04 00:14:39,274 - pyskl - INFO - Epoch [84][1000/2353] lr: 1.031e-02, eta: 18:44:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 2.3579, loss: 2.3579 +2025-06-04 00:15:22,688 - pyskl - INFO - Epoch [84][1100/2353] lr: 1.029e-02, eta: 18:43:21, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9856, loss_cls: 2.4257, loss: 2.4257 +2025-06-04 00:16:06,071 - pyskl - INFO - Epoch [84][1200/2353] lr: 1.028e-02, eta: 18:42:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 2.2914, loss: 2.2914 +2025-06-04 00:16:49,139 - pyskl - INFO - Epoch [84][1300/2353] lr: 1.027e-02, eta: 18:41:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 2.3484, loss: 2.3484 +2025-06-04 00:17:32,407 - pyskl - INFO - Epoch [84][1400/2353] lr: 1.026e-02, eta: 18:41:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 2.4070, loss: 2.4070 +2025-06-04 00:18:15,607 - pyskl - INFO - Epoch [84][1500/2353] lr: 1.025e-02, eta: 18:40:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 2.3077, loss: 2.3077 +2025-06-04 00:18:58,892 - pyskl - INFO - Epoch [84][1600/2353] lr: 1.024e-02, eta: 18:39:47, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 2.4198, loss: 2.4198 +2025-06-04 00:19:42,274 - pyskl - INFO - Epoch [84][1700/2353] lr: 1.023e-02, eta: 18:39:04, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9856, loss_cls: 2.3407, loss: 2.3407 +2025-06-04 00:20:25,513 - pyskl - INFO - Epoch [84][1800/2353] lr: 1.022e-02, eta: 18:38:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 2.3111, loss: 2.3111 +2025-06-04 00:21:08,729 - pyskl - INFO - Epoch [84][1900/2353] lr: 1.021e-02, eta: 18:37:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 2.4568, loss: 2.4568 +2025-06-04 00:21:52,139 - pyskl - INFO - Epoch [84][2000/2353] lr: 1.020e-02, eta: 18:36:55, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 2.4270, loss: 2.4270 +2025-06-04 00:22:35,459 - pyskl - INFO - Epoch [84][2100/2353] lr: 1.019e-02, eta: 18:36:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 2.3174, loss: 2.3174 +2025-06-04 00:23:18,822 - pyskl - INFO - Epoch [84][2200/2353] lr: 1.017e-02, eta: 18:35:30, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 2.3937, loss: 2.3937 +2025-06-04 00:24:02,038 - pyskl - INFO - Epoch [84][2300/2353] lr: 1.016e-02, eta: 18:34:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8900, top5_acc: 0.9825, loss_cls: 2.4825, loss: 2.4825 +2025-06-04 00:24:25,481 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-06-04 00:25:51,038 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 00:25:51,114 - pyskl - INFO - +top1_acc 0.9200 +top5_acc 0.9928 +2025-06-04 00:25:51,162 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_82.pth was removed +2025-06-04 00:25:52,158 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_84.pth. +2025-06-04 00:25:52,158 - pyskl - INFO - Best top1_acc is 0.9200 at 84 epoch. +2025-06-04 00:25:52,161 - pyskl - INFO - Epoch(val) [84][1184] top1_acc: 0.9200, top5_acc: 0.9928 +2025-06-04 00:26:55,611 - pyskl - INFO - Epoch [85][100/2353] lr: 1.015e-02, eta: 18:33:39, time: 0.634, data_time: 0.204, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 2.2526, loss: 2.2526 +2025-06-04 00:27:38,671 - pyskl - INFO - Epoch [85][200/2353] lr: 1.014e-02, eta: 18:32:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 2.2286, loss: 2.2286 +2025-06-04 00:28:21,709 - pyskl - INFO - Epoch [85][300/2353] lr: 1.013e-02, eta: 18:32:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 2.3450, loss: 2.3450 +2025-06-04 00:29:04,802 - pyskl - INFO - Epoch [85][400/2353] lr: 1.011e-02, eta: 18:31:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9844, loss_cls: 2.3085, loss: 2.3085 +2025-06-04 00:29:47,889 - pyskl - INFO - Epoch [85][500/2353] lr: 1.010e-02, eta: 18:30:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 2.3527, loss: 2.3527 +2025-06-04 00:30:31,067 - pyskl - INFO - Epoch [85][600/2353] lr: 1.009e-02, eta: 18:30:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 2.2903, loss: 2.2903 +2025-06-04 00:31:14,269 - pyskl - INFO - Epoch [85][700/2353] lr: 1.008e-02, eta: 18:29:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 2.2399, loss: 2.2399 +2025-06-04 00:31:57,365 - pyskl - INFO - Epoch [85][800/2353] lr: 1.007e-02, eta: 18:28:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 2.2862, loss: 2.2862 +2025-06-04 00:32:40,464 - pyskl - INFO - Epoch [85][900/2353] lr: 1.006e-02, eta: 18:27:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 2.3766, loss: 2.3766 +2025-06-04 00:33:23,610 - pyskl - INFO - Epoch [85][1000/2353] lr: 1.005e-02, eta: 18:27:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 2.3405, loss: 2.3405 +2025-06-04 00:34:06,623 - pyskl - INFO - Epoch [85][1100/2353] lr: 1.004e-02, eta: 18:26:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9844, loss_cls: 2.4226, loss: 2.4226 +2025-06-04 00:34:49,534 - pyskl - INFO - Epoch [85][1200/2353] lr: 1.003e-02, eta: 18:25:46, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 2.4207, loss: 2.4207 +2025-06-04 00:35:32,562 - pyskl - INFO - Epoch [85][1300/2353] lr: 1.002e-02, eta: 18:25:03, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8950, top5_acc: 0.9831, loss_cls: 2.3835, loss: 2.3835 +2025-06-04 00:36:15,640 - pyskl - INFO - Epoch [85][1400/2353] lr: 1.001e-02, eta: 18:24:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 2.4807, loss: 2.4807 +2025-06-04 00:36:58,497 - pyskl - INFO - Epoch [85][1500/2353] lr: 9.994e-03, eta: 18:23:36, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 2.4429, loss: 2.4429 +2025-06-04 00:37:41,408 - pyskl - INFO - Epoch [85][1600/2353] lr: 9.983e-03, eta: 18:22:53, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 2.3705, loss: 2.3705 +2025-06-04 00:38:24,445 - pyskl - INFO - Epoch [85][1700/2353] lr: 9.972e-03, eta: 18:22:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 2.3813, loss: 2.3813 +2025-06-04 00:39:07,562 - pyskl - INFO - Epoch [85][1800/2353] lr: 9.961e-03, eta: 18:21:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9881, loss_cls: 2.3327, loss: 2.3327 +2025-06-04 00:39:50,560 - pyskl - INFO - Epoch [85][1900/2353] lr: 9.951e-03, eta: 18:20:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 2.3581, loss: 2.3581 +2025-06-04 00:40:33,716 - pyskl - INFO - Epoch [85][2000/2353] lr: 9.940e-03, eta: 18:20:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 2.3928, loss: 2.3928 +2025-06-04 00:41:16,885 - pyskl - INFO - Epoch [85][2100/2353] lr: 9.929e-03, eta: 18:19:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 2.4373, loss: 2.4373 +2025-06-04 00:41:59,911 - pyskl - INFO - Epoch [85][2200/2353] lr: 9.918e-03, eta: 18:18:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 2.4419, loss: 2.4419 +2025-06-04 00:42:43,051 - pyskl - INFO - Epoch [85][2300/2353] lr: 9.907e-03, eta: 18:17:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 2.3561, loss: 2.3561 +2025-06-04 00:43:06,453 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-06-04 00:51:56,997 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 00:51:57,073 - pyskl - INFO - +top1_acc 0.9147 +top5_acc 0.9924 +2025-06-04 00:51:57,076 - pyskl - INFO - Epoch(val) [85][1184] top1_acc: 0.9147, top5_acc: 0.9924 +2025-06-04 00:53:00,585 - pyskl - INFO - Epoch [86][100/2353] lr: 9.890e-03, eta: 18:16:44, time: 0.635, data_time: 0.207, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9875, loss_cls: 2.3648, loss: 2.3648 +2025-06-04 00:53:43,572 - pyskl - INFO - Epoch [86][200/2353] lr: 9.879e-03, eta: 18:16:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 2.2872, loss: 2.2872 +2025-06-04 00:54:26,631 - pyskl - INFO - Epoch [86][300/2353] lr: 9.869e-03, eta: 18:15:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 2.3021, loss: 2.3021 +2025-06-04 00:55:09,660 - pyskl - INFO - Epoch [86][400/2353] lr: 9.858e-03, eta: 18:14:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9844, loss_cls: 2.4104, loss: 2.4104 +2025-06-04 00:55:52,823 - pyskl - INFO - Epoch [86][500/2353] lr: 9.847e-03, eta: 18:13:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 2.2954, loss: 2.2954 +2025-06-04 00:56:35,829 - pyskl - INFO - Epoch [86][600/2353] lr: 9.836e-03, eta: 18:13:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 2.2739, loss: 2.2739 +2025-06-04 00:57:18,778 - pyskl - INFO - Epoch [86][700/2353] lr: 9.825e-03, eta: 18:12:26, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 2.3004, loss: 2.3004 +2025-06-04 00:58:01,962 - pyskl - INFO - Epoch [86][800/2353] lr: 9.814e-03, eta: 18:11:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 2.2988, loss: 2.2988 +2025-06-04 00:58:45,096 - pyskl - INFO - Epoch [86][900/2353] lr: 9.803e-03, eta: 18:11:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9938, loss_cls: 2.4134, loss: 2.4134 +2025-06-04 00:59:28,163 - pyskl - INFO - Epoch [86][1000/2353] lr: 9.792e-03, eta: 18:10:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9888, loss_cls: 2.2426, loss: 2.2426 +2025-06-04 01:00:11,236 - pyskl - INFO - Epoch [86][1100/2353] lr: 9.782e-03, eta: 18:09:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 2.2930, loss: 2.2930 +2025-06-04 01:00:54,247 - pyskl - INFO - Epoch [86][1200/2353] lr: 9.771e-03, eta: 18:08:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9881, loss_cls: 2.2740, loss: 2.2740 +2025-06-04 01:01:37,291 - pyskl - INFO - Epoch [86][1300/2353] lr: 9.760e-03, eta: 18:08:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 2.3503, loss: 2.3503 +2025-06-04 01:02:20,479 - pyskl - INFO - Epoch [86][1400/2353] lr: 9.749e-03, eta: 18:07:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 2.3346, loss: 2.3346 +2025-06-04 01:03:03,745 - pyskl - INFO - Epoch [86][1500/2353] lr: 9.738e-03, eta: 18:06:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 2.3980, loss: 2.3980 +2025-06-04 01:03:46,914 - pyskl - INFO - Epoch [86][1600/2353] lr: 9.727e-03, eta: 18:05:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8988, top5_acc: 0.9931, loss_cls: 2.3855, loss: 2.3855 +2025-06-04 01:04:29,999 - pyskl - INFO - Epoch [86][1700/2353] lr: 9.717e-03, eta: 18:05:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9925, loss_cls: 2.4224, loss: 2.4224 +2025-06-04 01:05:13,018 - pyskl - INFO - Epoch [86][1800/2353] lr: 9.706e-03, eta: 18:04:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 2.4304, loss: 2.4304 +2025-06-04 01:05:56,096 - pyskl - INFO - Epoch [86][1900/2353] lr: 9.695e-03, eta: 18:03:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 2.3968, loss: 2.3968 +2025-06-04 01:06:39,094 - pyskl - INFO - Epoch [86][2000/2353] lr: 9.684e-03, eta: 18:03:07, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 2.3499, loss: 2.3499 +2025-06-04 01:07:22,214 - pyskl - INFO - Epoch [86][2100/2353] lr: 9.673e-03, eta: 18:02:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9856, loss_cls: 2.3352, loss: 2.3352 +2025-06-04 01:08:05,433 - pyskl - INFO - Epoch [86][2200/2353] lr: 9.662e-03, eta: 18:01:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9875, loss_cls: 2.3104, loss: 2.3104 +2025-06-04 01:08:48,591 - pyskl - INFO - Epoch [86][2300/2353] lr: 9.651e-03, eta: 18:00:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9956, loss_cls: 2.3368, loss: 2.3368 +2025-06-04 01:09:12,058 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-06-04 01:10:37,142 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 01:10:37,218 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9937 +2025-06-04 01:10:37,276 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_84.pth was removed +2025-06-04 01:10:38,341 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. +2025-06-04 01:10:38,342 - pyskl - INFO - Best top1_acc is 0.9312 at 86 epoch. +2025-06-04 01:10:38,345 - pyskl - INFO - Epoch(val) [86][1184] top1_acc: 0.9312, top5_acc: 0.9937 +2025-06-04 01:11:41,916 - pyskl - INFO - Epoch [87][100/2353] lr: 9.635e-03, eta: 17:59:50, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 2.2915, loss: 2.2915 +2025-06-04 01:12:25,093 - pyskl - INFO - Epoch [87][200/2353] lr: 9.624e-03, eta: 17:59:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 2.1607, loss: 2.1607 +2025-06-04 01:13:08,388 - pyskl - INFO - Epoch [87][300/2353] lr: 9.613e-03, eta: 17:58:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 2.3246, loss: 2.3246 +2025-06-04 01:13:51,447 - pyskl - INFO - Epoch [87][400/2353] lr: 9.602e-03, eta: 17:57:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9869, loss_cls: 2.2953, loss: 2.2953 +2025-06-04 01:14:34,610 - pyskl - INFO - Epoch [87][500/2353] lr: 9.592e-03, eta: 17:56:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9862, loss_cls: 2.3301, loss: 2.3301 +2025-06-04 01:15:17,848 - pyskl - INFO - Epoch [87][600/2353] lr: 9.581e-03, eta: 17:56:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 2.3456, loss: 2.3456 +2025-06-04 01:16:00,940 - pyskl - INFO - Epoch [87][700/2353] lr: 9.570e-03, eta: 17:55:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 2.3388, loss: 2.3388 +2025-06-04 01:16:44,146 - pyskl - INFO - Epoch [87][800/2353] lr: 9.559e-03, eta: 17:54:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 2.1874, loss: 2.1874 +2025-06-04 01:17:27,284 - pyskl - INFO - Epoch [87][900/2353] lr: 9.548e-03, eta: 17:54:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 2.3723, loss: 2.3723 +2025-06-04 01:18:10,516 - pyskl - INFO - Epoch [87][1000/2353] lr: 9.538e-03, eta: 17:53:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 2.2791, loss: 2.2791 +2025-06-04 01:18:53,689 - pyskl - INFO - Epoch [87][1100/2353] lr: 9.527e-03, eta: 17:52:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 2.3557, loss: 2.3557 +2025-06-04 01:19:36,835 - pyskl - INFO - Epoch [87][1200/2353] lr: 9.516e-03, eta: 17:51:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 2.3419, loss: 2.3419 +2025-06-04 01:20:19,979 - pyskl - INFO - Epoch [87][1300/2353] lr: 9.505e-03, eta: 17:51:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 2.2806, loss: 2.2806 +2025-06-04 01:21:03,152 - pyskl - INFO - Epoch [87][1400/2353] lr: 9.494e-03, eta: 17:50:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 2.4513, loss: 2.4513 +2025-06-04 01:21:46,116 - pyskl - INFO - Epoch [87][1500/2353] lr: 9.483e-03, eta: 17:49:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9888, loss_cls: 2.2787, loss: 2.2787 +2025-06-04 01:22:29,404 - pyskl - INFO - Epoch [87][1600/2353] lr: 9.473e-03, eta: 17:49:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 2.2280, loss: 2.2280 +2025-06-04 01:23:12,559 - pyskl - INFO - Epoch [87][1700/2353] lr: 9.462e-03, eta: 17:48:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 2.4103, loss: 2.4103 +2025-06-04 01:23:55,697 - pyskl - INFO - Epoch [87][1800/2353] lr: 9.451e-03, eta: 17:47:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 2.3723, loss: 2.3723 +2025-06-04 01:24:38,770 - pyskl - INFO - Epoch [87][1900/2353] lr: 9.440e-03, eta: 17:46:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 2.3833, loss: 2.3833 +2025-06-04 01:25:21,919 - pyskl - INFO - Epoch [87][2000/2353] lr: 9.430e-03, eta: 17:46:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9844, loss_cls: 2.3445, loss: 2.3445 +2025-06-04 01:26:05,067 - pyskl - INFO - Epoch [87][2100/2353] lr: 9.419e-03, eta: 17:45:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 2.3666, loss: 2.3666 +2025-06-04 01:26:48,243 - pyskl - INFO - Epoch [87][2200/2353] lr: 9.408e-03, eta: 17:44:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 2.3510, loss: 2.3510 +2025-06-04 01:27:31,326 - pyskl - INFO - Epoch [87][2300/2353] lr: 9.397e-03, eta: 17:44:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 2.2785, loss: 2.2785 +2025-06-04 01:27:54,694 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-06-04 01:29:19,795 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 01:29:19,870 - pyskl - INFO - +top1_acc 0.9095 +top5_acc 0.9916 +2025-06-04 01:29:19,873 - pyskl - INFO - Epoch(val) [87][1184] top1_acc: 0.9095, top5_acc: 0.9916 +2025-06-04 01:30:23,903 - pyskl - INFO - Epoch [88][100/2353] lr: 9.381e-03, eta: 17:42:57, time: 0.640, data_time: 0.209, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 2.2249, loss: 2.2249 +2025-06-04 01:31:07,030 - pyskl - INFO - Epoch [88][200/2353] lr: 9.370e-03, eta: 17:42:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9894, loss_cls: 2.2158, loss: 2.2158 +2025-06-04 01:31:50,194 - pyskl - INFO - Epoch [88][300/2353] lr: 9.359e-03, eta: 17:41:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9906, loss_cls: 2.2697, loss: 2.2697 +2025-06-04 01:32:33,382 - pyskl - INFO - Epoch [88][400/2353] lr: 9.348e-03, eta: 17:40:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9894, loss_cls: 2.2391, loss: 2.2391 +2025-06-04 01:33:16,684 - pyskl - INFO - Epoch [88][500/2353] lr: 9.338e-03, eta: 17:40:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9894, loss_cls: 2.3149, loss: 2.3149 +2025-06-04 01:34:00,024 - pyskl - INFO - Epoch [88][600/2353] lr: 9.327e-03, eta: 17:39:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 2.3449, loss: 2.3449 +2025-06-04 01:34:43,409 - pyskl - INFO - Epoch [88][700/2353] lr: 9.316e-03, eta: 17:38:40, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 2.4449, loss: 2.4449 +2025-06-04 01:35:26,628 - pyskl - INFO - Epoch [88][800/2353] lr: 9.305e-03, eta: 17:37:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9862, loss_cls: 2.3436, loss: 2.3436 +2025-06-04 01:36:09,984 - pyskl - INFO - Epoch [88][900/2353] lr: 9.295e-03, eta: 17:37:14, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 2.2889, loss: 2.2889 +2025-06-04 01:36:53,204 - pyskl - INFO - Epoch [88][1000/2353] lr: 9.284e-03, eta: 17:36:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 2.3014, loss: 2.3014 +2025-06-04 01:37:36,434 - pyskl - INFO - Epoch [88][1100/2353] lr: 9.273e-03, eta: 17:35:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 2.3293, loss: 2.3293 +2025-06-04 01:38:19,799 - pyskl - INFO - Epoch [88][1200/2353] lr: 9.262e-03, eta: 17:35:06, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 2.3811, loss: 2.3811 +2025-06-04 01:39:02,970 - pyskl - INFO - Epoch [88][1300/2353] lr: 9.252e-03, eta: 17:34:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9938, loss_cls: 2.3387, loss: 2.3387 +2025-06-04 01:39:46,431 - pyskl - INFO - Epoch [88][1400/2353] lr: 9.241e-03, eta: 17:33:40, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 2.2750, loss: 2.2750 +2025-06-04 01:40:30,064 - pyskl - INFO - Epoch [88][1500/2353] lr: 9.230e-03, eta: 17:32:57, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 2.3481, loss: 2.3481 +2025-06-04 01:41:13,251 - pyskl - INFO - Epoch [88][1600/2353] lr: 9.219e-03, eta: 17:32:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 2.3591, loss: 2.3591 +2025-06-04 01:41:56,499 - pyskl - INFO - Epoch [88][1700/2353] lr: 9.209e-03, eta: 17:31:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9894, loss_cls: 2.2196, loss: 2.2196 +2025-06-04 01:42:39,762 - pyskl - INFO - Epoch [88][1800/2353] lr: 9.198e-03, eta: 17:30:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 2.2501, loss: 2.2501 +2025-06-04 01:43:22,989 - pyskl - INFO - Epoch [88][1900/2353] lr: 9.187e-03, eta: 17:30:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 2.2368, loss: 2.2368 +2025-06-04 01:44:06,305 - pyskl - INFO - Epoch [88][2000/2353] lr: 9.176e-03, eta: 17:29:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 2.2676, loss: 2.2676 +2025-06-04 01:44:49,700 - pyskl - INFO - Epoch [88][2100/2353] lr: 9.166e-03, eta: 17:28:40, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 2.2940, loss: 2.2940 +2025-06-04 01:45:33,067 - pyskl - INFO - Epoch [88][2200/2353] lr: 9.155e-03, eta: 17:27:57, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 2.3129, loss: 2.3129 +2025-06-04 01:46:16,370 - pyskl - INFO - Epoch [88][2300/2353] lr: 9.144e-03, eta: 17:27:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.8944, top5_acc: 0.9875, loss_cls: 2.3908, loss: 2.3908 +2025-06-04 01:46:39,922 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-06-04 01:48:05,474 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 01:48:05,549 - pyskl - INFO - +top1_acc 0.9268 +top5_acc 0.9935 +2025-06-04 01:48:05,553 - pyskl - INFO - Epoch(val) [88][1184] top1_acc: 0.9268, top5_acc: 0.9935 +2025-06-04 01:49:09,175 - pyskl - INFO - Epoch [89][100/2353] lr: 9.128e-03, eta: 17:26:07, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9900, loss_cls: 2.2438, loss: 2.2438 +2025-06-04 01:49:52,275 - pyskl - INFO - Epoch [89][200/2353] lr: 9.117e-03, eta: 17:25:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 2.1661, loss: 2.1661 +2025-06-04 01:50:35,431 - pyskl - INFO - Epoch [89][300/2353] lr: 9.106e-03, eta: 17:24:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9869, loss_cls: 2.2278, loss: 2.2278 +2025-06-04 01:51:18,596 - pyskl - INFO - Epoch [89][400/2353] lr: 9.096e-03, eta: 17:23:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 2.3273, loss: 2.3273 +2025-06-04 01:52:01,838 - pyskl - INFO - Epoch [89][500/2353] lr: 9.085e-03, eta: 17:23:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 2.2780, loss: 2.2780 +2025-06-04 01:52:45,110 - pyskl - INFO - Epoch [89][600/2353] lr: 9.074e-03, eta: 17:22:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 2.3654, loss: 2.3654 +2025-06-04 01:53:28,310 - pyskl - INFO - Epoch [89][700/2353] lr: 9.064e-03, eta: 17:21:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9888, loss_cls: 2.3018, loss: 2.3018 +2025-06-04 01:54:11,518 - pyskl - INFO - Epoch [89][800/2353] lr: 9.053e-03, eta: 17:21:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9900, loss_cls: 2.2778, loss: 2.2778 +2025-06-04 01:54:54,636 - pyskl - INFO - Epoch [89][900/2353] lr: 9.042e-03, eta: 17:20:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 2.2766, loss: 2.2766 +2025-06-04 01:55:37,823 - pyskl - INFO - Epoch [89][1000/2353] lr: 9.032e-03, eta: 17:19:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 2.2171, loss: 2.2171 +2025-06-04 01:56:21,027 - pyskl - INFO - Epoch [89][1100/2353] lr: 9.021e-03, eta: 17:18:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 2.3273, loss: 2.3273 +2025-06-04 01:57:04,275 - pyskl - INFO - Epoch [89][1200/2353] lr: 9.010e-03, eta: 17:18:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 2.3194, loss: 2.3194 +2025-06-04 01:57:47,454 - pyskl - INFO - Epoch [89][1300/2353] lr: 9.000e-03, eta: 17:17:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9000, top5_acc: 0.9925, loss_cls: 2.3259, loss: 2.3259 +2025-06-04 01:58:30,608 - pyskl - INFO - Epoch [89][1400/2353] lr: 8.989e-03, eta: 17:16:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 2.3132, loss: 2.3132 +2025-06-04 01:59:13,829 - pyskl - INFO - Epoch [89][1500/2353] lr: 8.978e-03, eta: 17:16:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9875, loss_cls: 2.2952, loss: 2.2952 +2025-06-04 01:59:57,044 - pyskl - INFO - Epoch [89][1600/2353] lr: 8.967e-03, eta: 17:15:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 2.3251, loss: 2.3251 +2025-06-04 02:00:40,210 - pyskl - INFO - Epoch [89][1700/2353] lr: 8.957e-03, eta: 17:14:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9925, loss_cls: 2.2661, loss: 2.2661 +2025-06-04 02:01:23,345 - pyskl - INFO - Epoch [89][1800/2353] lr: 8.946e-03, eta: 17:13:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9944, loss_cls: 2.2832, loss: 2.2832 +2025-06-04 02:02:06,405 - pyskl - INFO - Epoch [89][1900/2353] lr: 8.935e-03, eta: 17:13:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 2.3503, loss: 2.3503 +2025-06-04 02:02:49,543 - pyskl - INFO - Epoch [89][2000/2353] lr: 8.925e-03, eta: 17:12:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9950, loss_cls: 2.2548, loss: 2.2548 +2025-06-04 02:03:32,718 - pyskl - INFO - Epoch [89][2100/2353] lr: 8.914e-03, eta: 17:11:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9875, loss_cls: 2.3330, loss: 2.3330 +2025-06-04 02:04:15,879 - pyskl - INFO - Epoch [89][2200/2353] lr: 8.904e-03, eta: 17:11:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9881, loss_cls: 2.2837, loss: 2.2837 +2025-06-04 02:04:59,076 - pyskl - INFO - Epoch [89][2300/2353] lr: 8.893e-03, eta: 17:10:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 2.3183, loss: 2.3183 +2025-06-04 02:05:22,488 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-06-04 02:06:47,677 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 02:06:47,753 - pyskl - INFO - +top1_acc 0.9119 +top5_acc 0.9921 +2025-06-04 02:06:47,757 - pyskl - INFO - Epoch(val) [89][1184] top1_acc: 0.9119, top5_acc: 0.9921 +2025-06-04 02:07:51,511 - pyskl - INFO - Epoch [90][100/2353] lr: 8.877e-03, eta: 17:09:14, time: 0.637, data_time: 0.206, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 2.2620, loss: 2.2620 +2025-06-04 02:08:34,767 - pyskl - INFO - Epoch [90][200/2353] lr: 8.866e-03, eta: 17:08:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 2.2430, loss: 2.2430 +2025-06-04 02:09:18,014 - pyskl - INFO - Epoch [90][300/2353] lr: 8.855e-03, eta: 17:07:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 2.1981, loss: 2.1981 +2025-06-04 02:10:01,154 - pyskl - INFO - Epoch [90][400/2353] lr: 8.845e-03, eta: 17:07:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 2.1843, loss: 2.1843 +2025-06-04 02:10:44,347 - pyskl - INFO - Epoch [90][500/2353] lr: 8.834e-03, eta: 17:06:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 2.2802, loss: 2.2802 +2025-06-04 02:11:27,607 - pyskl - INFO - Epoch [90][600/2353] lr: 8.823e-03, eta: 17:05:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 2.2143, loss: 2.2143 +2025-06-04 02:12:10,783 - pyskl - INFO - Epoch [90][700/2353] lr: 8.813e-03, eta: 17:04:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9019, top5_acc: 0.9856, loss_cls: 2.3262, loss: 2.3262 +2025-06-04 02:12:53,938 - pyskl - INFO - Epoch [90][800/2353] lr: 8.802e-03, eta: 17:04:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 2.3316, loss: 2.3316 +2025-06-04 02:13:37,056 - pyskl - INFO - Epoch [90][900/2353] lr: 8.791e-03, eta: 17:03:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9912, loss_cls: 2.2086, loss: 2.2086 +2025-06-04 02:14:20,198 - pyskl - INFO - Epoch [90][1000/2353] lr: 8.781e-03, eta: 17:02:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9106, top5_acc: 0.9875, loss_cls: 2.3026, loss: 2.3026 +2025-06-04 02:15:03,369 - pyskl - INFO - Epoch [90][1100/2353] lr: 8.770e-03, eta: 17:02:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 2.2593, loss: 2.2593 +2025-06-04 02:15:46,505 - pyskl - INFO - Epoch [90][1200/2353] lr: 8.760e-03, eta: 17:01:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9900, loss_cls: 2.2993, loss: 2.2993 +2025-06-04 02:16:29,609 - pyskl - INFO - Epoch [90][1300/2353] lr: 8.749e-03, eta: 17:00:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 2.2149, loss: 2.2149 +2025-06-04 02:17:12,756 - pyskl - INFO - Epoch [90][1400/2353] lr: 8.738e-03, eta: 16:59:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 2.3849, loss: 2.3849 +2025-06-04 02:17:55,839 - pyskl - INFO - Epoch [90][1500/2353] lr: 8.728e-03, eta: 16:59:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.2948, loss: 2.2948 +2025-06-04 02:18:38,880 - pyskl - INFO - Epoch [90][1600/2353] lr: 8.717e-03, eta: 16:58:29, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9869, loss_cls: 2.3438, loss: 2.3438 +2025-06-04 02:19:21,995 - pyskl - INFO - Epoch [90][1700/2353] lr: 8.707e-03, eta: 16:57:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 2.2426, loss: 2.2426 +2025-06-04 02:20:05,129 - pyskl - INFO - Epoch [90][1800/2353] lr: 8.696e-03, eta: 16:57:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 2.3355, loss: 2.3355 +2025-06-04 02:20:48,185 - pyskl - INFO - Epoch [90][1900/2353] lr: 8.685e-03, eta: 16:56:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 2.2688, loss: 2.2688 +2025-06-04 02:21:31,255 - pyskl - INFO - Epoch [90][2000/2353] lr: 8.675e-03, eta: 16:55:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.8969, top5_acc: 0.9912, loss_cls: 2.4117, loss: 2.4117 +2025-06-04 02:22:14,405 - pyskl - INFO - Epoch [90][2100/2353] lr: 8.664e-03, eta: 16:54:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 2.2637, loss: 2.2637 +2025-06-04 02:22:57,676 - pyskl - INFO - Epoch [90][2200/2353] lr: 8.654e-03, eta: 16:54:11, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9894, loss_cls: 2.2879, loss: 2.2879 +2025-06-04 02:23:40,794 - pyskl - INFO - Epoch [90][2300/2353] lr: 8.643e-03, eta: 16:53:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 2.2763, loss: 2.2763 +2025-06-04 02:24:04,246 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-06-04 02:33:02,386 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 02:33:02,463 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9923 +2025-06-04 02:33:02,466 - pyskl - INFO - Epoch(val) [90][1184] top1_acc: 0.9223, top5_acc: 0.9923 +2025-06-04 02:34:06,224 - pyskl - INFO - Epoch [91][100/2353] lr: 8.627e-03, eta: 16:52:21, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 2.2550, loss: 2.2550 +2025-06-04 02:34:49,070 - pyskl - INFO - Epoch [91][200/2353] lr: 8.616e-03, eta: 16:51:38, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9881, loss_cls: 2.3091, loss: 2.3091 +2025-06-04 02:35:32,099 - pyskl - INFO - Epoch [91][300/2353] lr: 8.606e-03, eta: 16:50:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9900, loss_cls: 2.2821, loss: 2.2821 +2025-06-04 02:36:15,167 - pyskl - INFO - Epoch [91][400/2353] lr: 8.595e-03, eta: 16:50:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 2.3220, loss: 2.3220 +2025-06-04 02:36:58,086 - pyskl - INFO - Epoch [91][500/2353] lr: 8.585e-03, eta: 16:49:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 2.1549, loss: 2.1549 +2025-06-04 02:37:41,393 - pyskl - INFO - Epoch [91][600/2353] lr: 8.574e-03, eta: 16:48:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 2.2128, loss: 2.2128 +2025-06-04 02:38:24,735 - pyskl - INFO - Epoch [91][700/2353] lr: 8.563e-03, eta: 16:48:03, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9894, loss_cls: 2.2543, loss: 2.2543 +2025-06-04 02:39:07,975 - pyskl - INFO - Epoch [91][800/2353] lr: 8.553e-03, eta: 16:47:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 2.2255, loss: 2.2255 +2025-06-04 02:39:51,207 - pyskl - INFO - Epoch [91][900/2353] lr: 8.542e-03, eta: 16:46:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 2.2549, loss: 2.2549 +2025-06-04 02:40:34,557 - pyskl - INFO - Epoch [91][1000/2353] lr: 8.532e-03, eta: 16:45:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 2.2207, loss: 2.2207 +2025-06-04 02:41:17,943 - pyskl - INFO - Epoch [91][1100/2353] lr: 8.521e-03, eta: 16:45:11, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9056, top5_acc: 0.9844, loss_cls: 2.3101, loss: 2.3101 +2025-06-04 02:42:01,130 - pyskl - INFO - Epoch [91][1200/2353] lr: 8.511e-03, eta: 16:44:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9869, loss_cls: 2.3181, loss: 2.3181 +2025-06-04 02:42:44,310 - pyskl - INFO - Epoch [91][1300/2353] lr: 8.500e-03, eta: 16:43:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 2.1962, loss: 2.1962 +2025-06-04 02:43:27,550 - pyskl - INFO - Epoch [91][1400/2353] lr: 8.490e-03, eta: 16:43:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9919, loss_cls: 2.3453, loss: 2.3453 +2025-06-04 02:44:10,812 - pyskl - INFO - Epoch [91][1500/2353] lr: 8.479e-03, eta: 16:42:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 2.1978, loss: 2.1978 +2025-06-04 02:44:54,015 - pyskl - INFO - Epoch [91][1600/2353] lr: 8.468e-03, eta: 16:41:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 2.2394, loss: 2.2394 +2025-06-04 02:45:37,199 - pyskl - INFO - Epoch [91][1700/2353] lr: 8.458e-03, eta: 16:40:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 2.2343, loss: 2.2343 +2025-06-04 02:46:20,394 - pyskl - INFO - Epoch [91][1800/2353] lr: 8.447e-03, eta: 16:40:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 2.2901, loss: 2.2901 +2025-06-04 02:47:03,747 - pyskl - INFO - Epoch [91][1900/2353] lr: 8.437e-03, eta: 16:39:27, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9894, loss_cls: 2.3250, loss: 2.3250 +2025-06-04 02:47:46,980 - pyskl - INFO - Epoch [91][2000/2353] lr: 8.426e-03, eta: 16:38:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9900, loss_cls: 2.3145, loss: 2.3145 +2025-06-04 02:48:30,231 - pyskl - INFO - Epoch [91][2100/2353] lr: 8.416e-03, eta: 16:38:02, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 2.2494, loss: 2.2494 +2025-06-04 02:49:13,612 - pyskl - INFO - Epoch [91][2200/2353] lr: 8.405e-03, eta: 16:37:19, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9025, top5_acc: 0.9819, loss_cls: 2.3317, loss: 2.3317 +2025-06-04 02:49:56,794 - pyskl - INFO - Epoch [91][2300/2353] lr: 8.395e-03, eta: 16:36:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 2.1622, loss: 2.1622 +2025-06-04 02:50:20,223 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-06-04 02:51:45,654 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 02:51:45,730 - pyskl - INFO - +top1_acc 0.9324 +top5_acc 0.9936 +2025-06-04 02:51:45,784 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_86.pth was removed +2025-06-04 02:51:46,808 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. +2025-06-04 02:51:46,809 - pyskl - INFO - Best top1_acc is 0.9324 at 91 epoch. +2025-06-04 02:51:46,812 - pyskl - INFO - Epoch(val) [91][1184] top1_acc: 0.9324, top5_acc: 0.9936 +2025-06-04 02:52:50,659 - pyskl - INFO - Epoch [92][100/2353] lr: 8.379e-03, eta: 16:35:29, time: 0.638, data_time: 0.207, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 2.1396, loss: 2.1396 +2025-06-04 02:53:33,835 - pyskl - INFO - Epoch [92][200/2353] lr: 8.368e-03, eta: 16:34:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 2.1533, loss: 2.1533 +2025-06-04 02:54:16,994 - pyskl - INFO - Epoch [92][300/2353] lr: 8.358e-03, eta: 16:34:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9900, loss_cls: 2.2291, loss: 2.2291 +2025-06-04 02:55:00,143 - pyskl - INFO - Epoch [92][400/2353] lr: 8.347e-03, eta: 16:33:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 2.3397, loss: 2.3397 +2025-06-04 02:55:43,435 - pyskl - INFO - Epoch [92][500/2353] lr: 8.337e-03, eta: 16:32:37, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 2.2406, loss: 2.2406 +2025-06-04 02:56:27,106 - pyskl - INFO - Epoch [92][600/2353] lr: 8.326e-03, eta: 16:31:54, time: 0.437, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 2.2882, loss: 2.2882 +2025-06-04 02:57:10,439 - pyskl - INFO - Epoch [92][700/2353] lr: 8.316e-03, eta: 16:31:11, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 2.2398, loss: 2.2398 +2025-06-04 02:57:53,647 - pyskl - INFO - Epoch [92][800/2353] lr: 8.305e-03, eta: 16:30:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 2.1920, loss: 2.1920 +2025-06-04 02:58:36,816 - pyskl - INFO - Epoch [92][900/2353] lr: 8.295e-03, eta: 16:29:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 2.3389, loss: 2.3389 +2025-06-04 02:59:19,942 - pyskl - INFO - Epoch [92][1000/2353] lr: 8.284e-03, eta: 16:29:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9881, loss_cls: 2.2351, loss: 2.2351 +2025-06-04 03:00:03,148 - pyskl - INFO - Epoch [92][1100/2353] lr: 8.274e-03, eta: 16:28:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9881, loss_cls: 2.2346, loss: 2.2346 +2025-06-04 03:00:46,317 - pyskl - INFO - Epoch [92][1200/2353] lr: 8.263e-03, eta: 16:27:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9969, loss_cls: 2.1633, loss: 2.1633 +2025-06-04 03:01:29,520 - pyskl - INFO - Epoch [92][1300/2353] lr: 8.253e-03, eta: 16:26:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 2.1672, loss: 2.1672 +2025-06-04 03:02:12,624 - pyskl - INFO - Epoch [92][1400/2353] lr: 8.242e-03, eta: 16:26:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 2.1790, loss: 2.1790 +2025-06-04 03:02:55,798 - pyskl - INFO - Epoch [92][1500/2353] lr: 8.232e-03, eta: 16:25:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 2.1960, loss: 2.1960 +2025-06-04 03:03:38,867 - pyskl - INFO - Epoch [92][1600/2353] lr: 8.222e-03, eta: 16:24:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 2.2530, loss: 2.2530 +2025-06-04 03:04:22,031 - pyskl - INFO - Epoch [92][1700/2353] lr: 8.211e-03, eta: 16:24:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 2.2216, loss: 2.2216 +2025-06-04 03:05:05,279 - pyskl - INFO - Epoch [92][1800/2353] lr: 8.201e-03, eta: 16:23:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 2.2252, loss: 2.2252 +2025-06-04 03:05:48,521 - pyskl - INFO - Epoch [92][1900/2353] lr: 8.190e-03, eta: 16:22:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 2.2547, loss: 2.2547 +2025-06-04 03:06:31,833 - pyskl - INFO - Epoch [92][2000/2353] lr: 8.180e-03, eta: 16:21:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 2.2688, loss: 2.2688 +2025-06-04 03:07:15,178 - pyskl - INFO - Epoch [92][2100/2353] lr: 8.169e-03, eta: 16:21:10, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 2.3485, loss: 2.3485 +2025-06-04 03:07:58,392 - pyskl - INFO - Epoch [92][2200/2353] lr: 8.159e-03, eta: 16:20:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 2.2206, loss: 2.2206 +2025-06-04 03:08:41,738 - pyskl - INFO - Epoch [92][2300/2353] lr: 8.148e-03, eta: 16:19:44, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 2.2823, loss: 2.2823 +2025-06-04 03:09:05,186 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-06-04 03:10:30,504 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 03:10:30,579 - pyskl - INFO - +top1_acc 0.9274 +top5_acc 0.9939 +2025-06-04 03:10:30,583 - pyskl - INFO - Epoch(val) [92][1184] top1_acc: 0.9274, top5_acc: 0.9939 +2025-06-04 03:11:34,178 - pyskl - INFO - Epoch [93][100/2353] lr: 8.133e-03, eta: 16:18:36, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 2.1981, loss: 2.1981 +2025-06-04 03:12:17,391 - pyskl - INFO - Epoch [93][200/2353] lr: 8.122e-03, eta: 16:17:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9900, loss_cls: 2.2505, loss: 2.2505 +2025-06-04 03:13:00,527 - pyskl - INFO - Epoch [93][300/2353] lr: 8.112e-03, eta: 16:17:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 2.1569, loss: 2.1569 +2025-06-04 03:13:43,804 - pyskl - INFO - Epoch [93][400/2353] lr: 8.101e-03, eta: 16:16:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 2.1780, loss: 2.1780 +2025-06-04 03:14:27,132 - pyskl - INFO - Epoch [93][500/2353] lr: 8.091e-03, eta: 16:15:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 2.1769, loss: 2.1769 +2025-06-04 03:15:10,329 - pyskl - INFO - Epoch [93][600/2353] lr: 8.080e-03, eta: 16:15:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 2.0848, loss: 2.0848 +2025-06-04 03:15:53,646 - pyskl - INFO - Epoch [93][700/2353] lr: 8.070e-03, eta: 16:14:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 2.2374, loss: 2.2374 +2025-06-04 03:16:36,832 - pyskl - INFO - Epoch [93][800/2353] lr: 8.060e-03, eta: 16:13:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 2.2069, loss: 2.2069 +2025-06-04 03:17:20,158 - pyskl - INFO - Epoch [93][900/2353] lr: 8.049e-03, eta: 16:12:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 2.2708, loss: 2.2708 +2025-06-04 03:18:03,367 - pyskl - INFO - Epoch [93][1000/2353] lr: 8.039e-03, eta: 16:12:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 2.2634, loss: 2.2634 +2025-06-04 03:18:46,630 - pyskl - INFO - Epoch [93][1100/2353] lr: 8.028e-03, eta: 16:11:27, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9975, loss_cls: 2.1703, loss: 2.1703 +2025-06-04 03:19:29,847 - pyskl - INFO - Epoch [93][1200/2353] lr: 8.018e-03, eta: 16:10:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 2.2125, loss: 2.2125 +2025-06-04 03:20:13,204 - pyskl - INFO - Epoch [93][1300/2353] lr: 8.008e-03, eta: 16:10:01, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 2.1669, loss: 2.1669 +2025-06-04 03:20:56,442 - pyskl - INFO - Epoch [93][1400/2353] lr: 7.997e-03, eta: 16:09:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 2.3199, loss: 2.3199 +2025-06-04 03:21:39,550 - pyskl - INFO - Epoch [93][1500/2353] lr: 7.987e-03, eta: 16:08:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 2.2968, loss: 2.2968 +2025-06-04 03:22:22,829 - pyskl - INFO - Epoch [93][1600/2353] lr: 7.977e-03, eta: 16:07:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 2.2009, loss: 2.2009 +2025-06-04 03:23:05,955 - pyskl - INFO - Epoch [93][1700/2353] lr: 7.966e-03, eta: 16:07:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 2.2425, loss: 2.2425 +2025-06-04 03:23:49,050 - pyskl - INFO - Epoch [93][1800/2353] lr: 7.956e-03, eta: 16:06:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9144, top5_acc: 0.9881, loss_cls: 2.2426, loss: 2.2426 +2025-06-04 03:24:32,208 - pyskl - INFO - Epoch [93][1900/2353] lr: 7.945e-03, eta: 16:05:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9906, loss_cls: 2.2189, loss: 2.2189 +2025-06-04 03:25:15,468 - pyskl - INFO - Epoch [93][2000/2353] lr: 7.935e-03, eta: 16:05:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 2.2643, loss: 2.2643 +2025-06-04 03:25:58,842 - pyskl - INFO - Epoch [93][2100/2353] lr: 7.925e-03, eta: 16:04:18, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 2.1973, loss: 2.1973 +2025-06-04 03:26:41,950 - pyskl - INFO - Epoch [93][2200/2353] lr: 7.914e-03, eta: 16:03:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 2.2707, loss: 2.2707 +2025-06-04 03:27:25,570 - pyskl - INFO - Epoch [93][2300/2353] lr: 7.904e-03, eta: 16:02:52, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 2.2734, loss: 2.2734 +2025-06-04 03:27:49,109 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-06-04 03:29:14,453 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 03:29:14,528 - pyskl - INFO - +top1_acc 0.9350 +top5_acc 0.9939 +2025-06-04 03:29:14,582 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_91.pth was removed +2025-06-04 03:29:15,594 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. +2025-06-04 03:29:15,595 - pyskl - INFO - Best top1_acc is 0.9350 at 93 epoch. +2025-06-04 03:29:15,598 - pyskl - INFO - Epoch(val) [93][1184] top1_acc: 0.9350, top5_acc: 0.9939 +2025-06-04 03:30:19,179 - pyskl - INFO - Epoch [94][100/2353] lr: 7.888e-03, eta: 16:01:44, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9900, loss_cls: 2.1612, loss: 2.1612 +2025-06-04 03:31:02,272 - pyskl - INFO - Epoch [94][200/2353] lr: 7.878e-03, eta: 16:01:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 2.1412, loss: 2.1412 +2025-06-04 03:31:45,512 - pyskl - INFO - Epoch [94][300/2353] lr: 7.868e-03, eta: 16:00:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 2.1505, loss: 2.1505 +2025-06-04 03:32:28,925 - pyskl - INFO - Epoch [94][400/2353] lr: 7.857e-03, eta: 15:59:36, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9906, loss_cls: 2.1138, loss: 2.1138 +2025-06-04 03:33:12,020 - pyskl - INFO - Epoch [94][500/2353] lr: 7.847e-03, eta: 15:58:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9956, loss_cls: 2.1870, loss: 2.1870 +2025-06-04 03:33:55,216 - pyskl - INFO - Epoch [94][600/2353] lr: 7.837e-03, eta: 15:58:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 2.1758, loss: 2.1758 +2025-06-04 03:34:38,597 - pyskl - INFO - Epoch [94][700/2353] lr: 7.826e-03, eta: 15:57:27, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 2.1666, loss: 2.1666 +2025-06-04 03:35:21,812 - pyskl - INFO - Epoch [94][800/2353] lr: 7.816e-03, eta: 15:56:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 2.2552, loss: 2.2552 +2025-06-04 03:36:04,916 - pyskl - INFO - Epoch [94][900/2353] lr: 7.806e-03, eta: 15:56:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9894, loss_cls: 2.1405, loss: 2.1405 +2025-06-04 03:36:47,995 - pyskl - INFO - Epoch [94][1000/2353] lr: 7.795e-03, eta: 15:55:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 2.2313, loss: 2.2313 +2025-06-04 03:37:31,131 - pyskl - INFO - Epoch [94][1100/2353] lr: 7.785e-03, eta: 15:54:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 2.1746, loss: 2.1746 +2025-06-04 03:38:14,228 - pyskl - INFO - Epoch [94][1200/2353] lr: 7.775e-03, eta: 15:53:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 2.1351, loss: 2.1351 +2025-06-04 03:38:57,367 - pyskl - INFO - Epoch [94][1300/2353] lr: 7.764e-03, eta: 15:53:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 2.3430, loss: 2.3430 +2025-06-04 03:39:40,415 - pyskl - INFO - Epoch [94][1400/2353] lr: 7.754e-03, eta: 15:52:26, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 2.2560, loss: 2.2560 +2025-06-04 03:40:23,367 - pyskl - INFO - Epoch [94][1500/2353] lr: 7.744e-03, eta: 15:51:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9875, loss_cls: 2.2351, loss: 2.2351 +2025-06-04 03:41:06,506 - pyskl - INFO - Epoch [94][1600/2353] lr: 7.734e-03, eta: 15:51:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 2.2531, loss: 2.2531 +2025-06-04 03:41:49,590 - pyskl - INFO - Epoch [94][1700/2353] lr: 7.723e-03, eta: 15:50:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9900, loss_cls: 2.1902, loss: 2.1902 +2025-06-04 03:42:32,725 - pyskl - INFO - Epoch [94][1800/2353] lr: 7.713e-03, eta: 15:49:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9900, loss_cls: 2.2089, loss: 2.2089 +2025-06-04 03:43:15,937 - pyskl - INFO - Epoch [94][1900/2353] lr: 7.703e-03, eta: 15:48:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9950, loss_cls: 2.1949, loss: 2.1949 +2025-06-04 03:43:59,210 - pyskl - INFO - Epoch [94][2000/2353] lr: 7.692e-03, eta: 15:48:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9950, loss_cls: 2.2694, loss: 2.2694 +2025-06-04 03:44:42,842 - pyskl - INFO - Epoch [94][2100/2353] lr: 7.682e-03, eta: 15:47:25, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 2.1632, loss: 2.1632 +2025-06-04 03:45:26,082 - pyskl - INFO - Epoch [94][2200/2353] lr: 7.672e-03, eta: 15:46:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 2.2401, loss: 2.2401 +2025-06-04 03:46:09,348 - pyskl - INFO - Epoch [94][2300/2353] lr: 7.662e-03, eta: 15:45:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 2.1406, loss: 2.1406 +2025-06-04 03:46:32,736 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-06-04 03:47:58,051 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 03:47:58,127 - pyskl - INFO - +top1_acc 0.9210 +top5_acc 0.9936 +2025-06-04 03:47:58,130 - pyskl - INFO - Epoch(val) [94][1184] top1_acc: 0.9210, top5_acc: 0.9936 +2025-06-04 03:49:01,743 - pyskl - INFO - Epoch [95][100/2353] lr: 7.646e-03, eta: 15:44:52, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9900, loss_cls: 2.2128, loss: 2.2128 +2025-06-04 03:49:44,948 - pyskl - INFO - Epoch [95][200/2353] lr: 7.636e-03, eta: 15:44:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 2.0830, loss: 2.0830 +2025-06-04 03:50:28,026 - pyskl - INFO - Epoch [95][300/2353] lr: 7.625e-03, eta: 15:43:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9919, loss_cls: 2.2113, loss: 2.2113 +2025-06-04 03:51:11,208 - pyskl - INFO - Epoch [95][400/2353] lr: 7.615e-03, eta: 15:42:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 2.1783, loss: 2.1783 +2025-06-04 03:51:54,526 - pyskl - INFO - Epoch [95][500/2353] lr: 7.605e-03, eta: 15:42:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 2.2374, loss: 2.2374 +2025-06-04 03:52:37,809 - pyskl - INFO - Epoch [95][600/2353] lr: 7.595e-03, eta: 15:41:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 2.1588, loss: 2.1588 +2025-06-04 03:53:21,223 - pyskl - INFO - Epoch [95][700/2353] lr: 7.584e-03, eta: 15:40:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 2.1951, loss: 2.1951 +2025-06-04 03:54:04,426 - pyskl - INFO - Epoch [95][800/2353] lr: 7.574e-03, eta: 15:39:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 2.1924, loss: 2.1924 +2025-06-04 03:54:47,696 - pyskl - INFO - Epoch [95][900/2353] lr: 7.564e-03, eta: 15:39:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9919, loss_cls: 2.1104, loss: 2.1104 +2025-06-04 03:55:30,992 - pyskl - INFO - Epoch [95][1000/2353] lr: 7.554e-03, eta: 15:38:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 2.1307, loss: 2.1307 +2025-06-04 03:56:14,316 - pyskl - INFO - Epoch [95][1100/2353] lr: 7.544e-03, eta: 15:37:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 2.1492, loss: 2.1492 +2025-06-04 03:56:57,663 - pyskl - INFO - Epoch [95][1200/2353] lr: 7.533e-03, eta: 15:36:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 2.0781, loss: 2.0781 +2025-06-04 03:57:40,974 - pyskl - INFO - Epoch [95][1300/2353] lr: 7.523e-03, eta: 15:36:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 2.2778, loss: 2.2778 +2025-06-04 03:58:24,328 - pyskl - INFO - Epoch [95][1400/2353] lr: 7.513e-03, eta: 15:35:34, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 2.1405, loss: 2.1405 +2025-06-04 03:59:07,603 - pyskl - INFO - Epoch [95][1500/2353] lr: 7.503e-03, eta: 15:34:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 2.1951, loss: 2.1951 +2025-06-04 03:59:50,955 - pyskl - INFO - Epoch [95][1600/2353] lr: 7.493e-03, eta: 15:34:08, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 2.0741, loss: 2.0741 +2025-06-04 04:00:34,318 - pyskl - INFO - Epoch [95][1700/2353] lr: 7.482e-03, eta: 15:33:25, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 2.1618, loss: 2.1618 +2025-06-04 04:01:17,434 - pyskl - INFO - Epoch [95][1800/2353] lr: 7.472e-03, eta: 15:32:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9881, loss_cls: 2.2620, loss: 2.2620 +2025-06-04 04:02:00,679 - pyskl - INFO - Epoch [95][1900/2353] lr: 7.462e-03, eta: 15:31:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 2.1736, loss: 2.1736 +2025-06-04 04:02:43,931 - pyskl - INFO - Epoch [95][2000/2353] lr: 7.452e-03, eta: 15:31:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 2.1430, loss: 2.1430 +2025-06-04 04:03:27,307 - pyskl - INFO - Epoch [95][2100/2353] lr: 7.442e-03, eta: 15:30:33, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 2.2709, loss: 2.2709 +2025-06-04 04:04:10,761 - pyskl - INFO - Epoch [95][2200/2353] lr: 7.431e-03, eta: 15:29:50, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 2.1481, loss: 2.1481 +2025-06-04 04:04:54,069 - pyskl - INFO - Epoch [95][2300/2353] lr: 7.421e-03, eta: 15:29:07, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9156, top5_acc: 0.9875, loss_cls: 2.2651, loss: 2.2651 +2025-06-04 04:05:17,504 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-06-04 04:13:57,843 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 04:13:57,919 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9939 +2025-06-04 04:13:57,922 - pyskl - INFO - Epoch(val) [95][1184] top1_acc: 0.9301, top5_acc: 0.9939 +2025-06-04 04:15:01,511 - pyskl - INFO - Epoch [96][100/2353] lr: 7.406e-03, eta: 15:28:00, time: 0.636, data_time: 0.208, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 2.1737, loss: 2.1737 +2025-06-04 04:15:44,587 - pyskl - INFO - Epoch [96][200/2353] lr: 7.396e-03, eta: 15:27:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 2.1400, loss: 2.1400 +2025-06-04 04:16:27,687 - pyskl - INFO - Epoch [96][300/2353] lr: 7.385e-03, eta: 15:26:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 2.1552, loss: 2.1552 +2025-06-04 04:17:10,693 - pyskl - INFO - Epoch [96][400/2353] lr: 7.375e-03, eta: 15:25:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 2.1233, loss: 2.1233 +2025-06-04 04:17:53,742 - pyskl - INFO - Epoch [96][500/2353] lr: 7.365e-03, eta: 15:25:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 2.0774, loss: 2.0774 +2025-06-04 04:18:36,916 - pyskl - INFO - Epoch [96][600/2353] lr: 7.355e-03, eta: 15:24:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 2.1990, loss: 2.1990 +2025-06-04 04:19:20,180 - pyskl - INFO - Epoch [96][700/2353] lr: 7.345e-03, eta: 15:23:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 2.0809, loss: 2.0809 +2025-06-04 04:20:03,466 - pyskl - INFO - Epoch [96][800/2353] lr: 7.335e-03, eta: 15:22:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 2.1626, loss: 2.1626 +2025-06-04 04:20:46,814 - pyskl - INFO - Epoch [96][900/2353] lr: 7.325e-03, eta: 15:22:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9912, loss_cls: 2.1955, loss: 2.1955 +2025-06-04 04:21:30,051 - pyskl - INFO - Epoch [96][1000/2353] lr: 7.314e-03, eta: 15:21:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9962, loss_cls: 2.0952, loss: 2.0952 +2025-06-04 04:22:13,309 - pyskl - INFO - Epoch [96][1100/2353] lr: 7.304e-03, eta: 15:20:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 2.2066, loss: 2.2066 +2025-06-04 04:22:56,420 - pyskl - INFO - Epoch [96][1200/2353] lr: 7.294e-03, eta: 15:20:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 2.1411, loss: 2.1411 +2025-06-04 04:23:39,519 - pyskl - INFO - Epoch [96][1300/2353] lr: 7.284e-03, eta: 15:19:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 2.1381, loss: 2.1381 +2025-06-04 04:24:22,636 - pyskl - INFO - Epoch [96][1400/2353] lr: 7.274e-03, eta: 15:18:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 2.1531, loss: 2.1531 +2025-06-04 04:25:05,720 - pyskl - INFO - Epoch [96][1500/2353] lr: 7.264e-03, eta: 15:17:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 2.2684, loss: 2.2684 +2025-06-04 04:25:49,000 - pyskl - INFO - Epoch [96][1600/2353] lr: 7.254e-03, eta: 15:17:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9894, loss_cls: 2.2046, loss: 2.2046 +2025-06-04 04:26:32,300 - pyskl - INFO - Epoch [96][1700/2353] lr: 7.244e-03, eta: 15:16:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 2.1361, loss: 2.1361 +2025-06-04 04:27:15,487 - pyskl - INFO - Epoch [96][1800/2353] lr: 7.234e-03, eta: 15:15:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9862, loss_cls: 2.1216, loss: 2.1216 +2025-06-04 04:27:58,786 - pyskl - INFO - Epoch [96][1900/2353] lr: 7.224e-03, eta: 15:15:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 2.2351, loss: 2.2351 +2025-06-04 04:28:42,013 - pyskl - INFO - Epoch [96][2000/2353] lr: 7.213e-03, eta: 15:14:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9912, loss_cls: 2.2001, loss: 2.2001 +2025-06-04 04:29:25,170 - pyskl - INFO - Epoch [96][2100/2353] lr: 7.203e-03, eta: 15:13:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 2.1903, loss: 2.1903 +2025-06-04 04:30:08,512 - pyskl - INFO - Epoch [96][2200/2353] lr: 7.193e-03, eta: 15:12:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 2.2914, loss: 2.2914 +2025-06-04 04:30:51,728 - pyskl - INFO - Epoch [96][2300/2353] lr: 7.183e-03, eta: 15:12:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 2.2200, loss: 2.2200 +2025-06-04 04:31:15,187 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-06-04 04:32:40,461 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 04:32:40,537 - pyskl - INFO - +top1_acc 0.9314 +top5_acc 0.9933 +2025-06-04 04:32:40,540 - pyskl - INFO - Epoch(val) [96][1184] top1_acc: 0.9314, top5_acc: 0.9933 +2025-06-04 04:33:44,362 - pyskl - INFO - Epoch [97][100/2353] lr: 7.168e-03, eta: 15:11:08, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 2.0928, loss: 2.0928 +2025-06-04 04:34:27,603 - pyskl - INFO - Epoch [97][200/2353] lr: 7.158e-03, eta: 15:10:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 2.1299, loss: 2.1299 +2025-06-04 04:35:10,863 - pyskl - INFO - Epoch [97][300/2353] lr: 7.148e-03, eta: 15:09:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 2.1118, loss: 2.1118 +2025-06-04 04:35:54,059 - pyskl - INFO - Epoch [97][400/2353] lr: 7.138e-03, eta: 15:08:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9906, loss_cls: 2.1229, loss: 2.1229 +2025-06-04 04:36:37,327 - pyskl - INFO - Epoch [97][500/2353] lr: 7.128e-03, eta: 15:08:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 2.1307, loss: 2.1307 +2025-06-04 04:37:20,612 - pyskl - INFO - Epoch [97][600/2353] lr: 7.118e-03, eta: 15:07:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 2.1424, loss: 2.1424 +2025-06-04 04:38:03,920 - pyskl - INFO - Epoch [97][700/2353] lr: 7.107e-03, eta: 15:06:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 2.0609, loss: 2.0609 +2025-06-04 04:38:47,187 - pyskl - INFO - Epoch [97][800/2353] lr: 7.097e-03, eta: 15:06:07, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9912, loss_cls: 2.0798, loss: 2.0798 +2025-06-04 04:39:30,443 - pyskl - INFO - Epoch [97][900/2353] lr: 7.087e-03, eta: 15:05:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 2.1202, loss: 2.1202 +2025-06-04 04:40:13,766 - pyskl - INFO - Epoch [97][1000/2353] lr: 7.077e-03, eta: 15:04:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9906, loss_cls: 2.1514, loss: 2.1514 +2025-06-04 04:40:56,928 - pyskl - INFO - Epoch [97][1100/2353] lr: 7.067e-03, eta: 15:03:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 2.1435, loss: 2.1435 +2025-06-04 04:41:40,125 - pyskl - INFO - Epoch [97][1200/2353] lr: 7.057e-03, eta: 15:03:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9962, loss_cls: 2.0845, loss: 2.0845 +2025-06-04 04:42:23,360 - pyskl - INFO - Epoch [97][1300/2353] lr: 7.047e-03, eta: 15:02:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9894, loss_cls: 2.1265, loss: 2.1265 +2025-06-04 04:43:06,528 - pyskl - INFO - Epoch [97][1400/2353] lr: 7.037e-03, eta: 15:01:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 2.1646, loss: 2.1646 +2025-06-04 04:43:49,709 - pyskl - INFO - Epoch [97][1500/2353] lr: 7.027e-03, eta: 15:01:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9919, loss_cls: 2.1826, loss: 2.1826 +2025-06-04 04:44:32,982 - pyskl - INFO - Epoch [97][1600/2353] lr: 7.017e-03, eta: 15:00:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 2.1494, loss: 2.1494 +2025-06-04 04:45:15,977 - pyskl - INFO - Epoch [97][1700/2353] lr: 7.007e-03, eta: 14:59:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 2.1786, loss: 2.1786 +2025-06-04 04:45:59,114 - pyskl - INFO - Epoch [97][1800/2353] lr: 6.997e-03, eta: 14:58:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 2.1675, loss: 2.1675 +2025-06-04 04:46:42,312 - pyskl - INFO - Epoch [97][1900/2353] lr: 6.987e-03, eta: 14:58:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 2.1507, loss: 2.1507 +2025-06-04 04:47:25,467 - pyskl - INFO - Epoch [97][2000/2353] lr: 6.977e-03, eta: 14:57:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9894, loss_cls: 2.1732, loss: 2.1732 +2025-06-04 04:48:08,732 - pyskl - INFO - Epoch [97][2100/2353] lr: 6.967e-03, eta: 14:56:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9225, top5_acc: 0.9962, loss_cls: 2.2111, loss: 2.2111 +2025-06-04 04:48:51,924 - pyskl - INFO - Epoch [97][2200/2353] lr: 6.957e-03, eta: 14:56:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 2.1615, loss: 2.1615 +2025-06-04 04:49:35,132 - pyskl - INFO - Epoch [97][2300/2353] lr: 6.947e-03, eta: 14:55:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 2.1862, loss: 2.1862 +2025-06-04 04:49:58,556 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-06-04 04:51:23,931 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 04:51:24,007 - pyskl - INFO - +top1_acc 0.9324 +top5_acc 0.9945 +2025-06-04 04:51:24,010 - pyskl - INFO - Epoch(val) [97][1184] top1_acc: 0.9324, top5_acc: 0.9945 +2025-06-04 04:52:27,855 - pyskl - INFO - Epoch [98][100/2353] lr: 6.932e-03, eta: 14:54:15, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 2.0313, loss: 2.0313 +2025-06-04 04:53:11,127 - pyskl - INFO - Epoch [98][200/2353] lr: 6.922e-03, eta: 14:53:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9962, loss_cls: 2.1798, loss: 2.1798 +2025-06-04 04:53:54,411 - pyskl - INFO - Epoch [98][300/2353] lr: 6.912e-03, eta: 14:52:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 2.0748, loss: 2.0748 +2025-06-04 04:54:37,538 - pyskl - INFO - Epoch [98][400/2353] lr: 6.902e-03, eta: 14:52:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 2.0465, loss: 2.0465 +2025-06-04 04:55:20,817 - pyskl - INFO - Epoch [98][500/2353] lr: 6.892e-03, eta: 14:51:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 2.0651, loss: 2.0651 +2025-06-04 04:56:04,127 - pyskl - INFO - Epoch [98][600/2353] lr: 6.882e-03, eta: 14:50:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 2.0986, loss: 2.0986 +2025-06-04 04:56:47,351 - pyskl - INFO - Epoch [98][700/2353] lr: 6.873e-03, eta: 14:49:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 2.1225, loss: 2.1225 +2025-06-04 04:57:30,588 - pyskl - INFO - Epoch [98][800/2353] lr: 6.863e-03, eta: 14:49:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 2.1459, loss: 2.1459 +2025-06-04 04:58:13,867 - pyskl - INFO - Epoch [98][900/2353] lr: 6.853e-03, eta: 14:48:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 2.0620, loss: 2.0620 +2025-06-04 04:58:57,105 - pyskl - INFO - Epoch [98][1000/2353] lr: 6.843e-03, eta: 14:47:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 1.9829, loss: 1.9829 +2025-06-04 04:59:40,304 - pyskl - INFO - Epoch [98][1100/2353] lr: 6.833e-03, eta: 14:47:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9912, loss_cls: 2.1094, loss: 2.1094 +2025-06-04 05:00:23,456 - pyskl - INFO - Epoch [98][1200/2353] lr: 6.823e-03, eta: 14:46:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9925, loss_cls: 2.2081, loss: 2.2081 +2025-06-04 05:01:06,568 - pyskl - INFO - Epoch [98][1300/2353] lr: 6.813e-03, eta: 14:45:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 2.1153, loss: 2.1153 +2025-06-04 05:01:49,694 - pyskl - INFO - Epoch [98][1400/2353] lr: 6.803e-03, eta: 14:44:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 2.1615, loss: 2.1615 +2025-06-04 05:02:32,820 - pyskl - INFO - Epoch [98][1500/2353] lr: 6.793e-03, eta: 14:44:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 2.1531, loss: 2.1531 +2025-06-04 05:03:15,985 - pyskl - INFO - Epoch [98][1600/2353] lr: 6.783e-03, eta: 14:43:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 2.1203, loss: 2.1203 +2025-06-04 05:03:59,168 - pyskl - INFO - Epoch [98][1700/2353] lr: 6.773e-03, eta: 14:42:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 2.2012, loss: 2.2012 +2025-06-04 05:04:42,234 - pyskl - INFO - Epoch [98][1800/2353] lr: 6.763e-03, eta: 14:42:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 2.0454, loss: 2.0454 +2025-06-04 05:05:25,383 - pyskl - INFO - Epoch [98][1900/2353] lr: 6.754e-03, eta: 14:41:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 2.1346, loss: 2.1346 +2025-06-04 05:06:08,440 - pyskl - INFO - Epoch [98][2000/2353] lr: 6.744e-03, eta: 14:40:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 2.1272, loss: 2.1272 +2025-06-04 05:06:51,626 - pyskl - INFO - Epoch [98][2100/2353] lr: 6.734e-03, eta: 14:39:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 2.1602, loss: 2.1602 +2025-06-04 05:07:34,872 - pyskl - INFO - Epoch [98][2200/2353] lr: 6.724e-03, eta: 14:39:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 2.2359, loss: 2.2359 +2025-06-04 05:08:18,002 - pyskl - INFO - Epoch [98][2300/2353] lr: 6.714e-03, eta: 14:38:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 2.1239, loss: 2.1239 +2025-06-04 05:08:41,422 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-06-04 05:10:06,609 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 05:10:06,685 - pyskl - INFO - +top1_acc 0.9321 +top5_acc 0.9941 +2025-06-04 05:10:06,689 - pyskl - INFO - Epoch(val) [98][1184] top1_acc: 0.9321, top5_acc: 0.9941 +2025-06-04 05:11:10,727 - pyskl - INFO - Epoch [99][100/2353] lr: 6.699e-03, eta: 14:37:23, time: 0.640, data_time: 0.206, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9938, loss_cls: 1.9877, loss: 1.9877 +2025-06-04 05:11:54,043 - pyskl - INFO - Epoch [99][200/2353] lr: 6.689e-03, eta: 14:36:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9931, loss_cls: 2.0668, loss: 2.0668 +2025-06-04 05:12:37,246 - pyskl - INFO - Epoch [99][300/2353] lr: 6.679e-03, eta: 14:35:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9931, loss_cls: 2.0440, loss: 2.0440 +2025-06-04 05:13:20,411 - pyskl - INFO - Epoch [99][400/2353] lr: 6.669e-03, eta: 14:35:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 2.0740, loss: 2.0740 +2025-06-04 05:14:03,639 - pyskl - INFO - Epoch [99][500/2353] lr: 6.660e-03, eta: 14:34:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 2.0393, loss: 2.0393 +2025-06-04 05:14:46,856 - pyskl - INFO - Epoch [99][600/2353] lr: 6.650e-03, eta: 14:33:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 2.0411, loss: 2.0411 +2025-06-04 05:15:30,147 - pyskl - INFO - Epoch [99][700/2353] lr: 6.640e-03, eta: 14:33:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 2.1029, loss: 2.1029 +2025-06-04 05:16:13,563 - pyskl - INFO - Epoch [99][800/2353] lr: 6.630e-03, eta: 14:32:22, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 2.1086, loss: 2.1086 +2025-06-04 05:16:56,939 - pyskl - INFO - Epoch [99][900/2353] lr: 6.620e-03, eta: 14:31:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9900, loss_cls: 2.1191, loss: 2.1191 +2025-06-04 05:17:40,191 - pyskl - INFO - Epoch [99][1000/2353] lr: 6.611e-03, eta: 14:30:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 2.1313, loss: 2.1313 +2025-06-04 05:18:23,435 - pyskl - INFO - Epoch [99][1100/2353] lr: 6.601e-03, eta: 14:30:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 2.0344, loss: 2.0344 +2025-06-04 05:19:06,627 - pyskl - INFO - Epoch [99][1200/2353] lr: 6.591e-03, eta: 14:29:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9900, loss_cls: 2.0522, loss: 2.0522 +2025-06-04 05:19:49,828 - pyskl - INFO - Epoch [99][1300/2353] lr: 6.581e-03, eta: 14:28:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 2.1408, loss: 2.1408 +2025-06-04 05:20:33,071 - pyskl - INFO - Epoch [99][1400/2353] lr: 6.571e-03, eta: 14:28:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 2.1469, loss: 2.1469 +2025-06-04 05:21:16,271 - pyskl - INFO - Epoch [99][1500/2353] lr: 6.562e-03, eta: 14:27:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 2.1235, loss: 2.1235 +2025-06-04 05:21:59,505 - pyskl - INFO - Epoch [99][1600/2353] lr: 6.552e-03, eta: 14:26:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9900, loss_cls: 2.0808, loss: 2.0808 +2025-06-04 05:22:42,765 - pyskl - INFO - Epoch [99][1700/2353] lr: 6.542e-03, eta: 14:25:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 2.1157, loss: 2.1157 +2025-06-04 05:23:26,028 - pyskl - INFO - Epoch [99][1800/2353] lr: 6.532e-03, eta: 14:25:12, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 2.0302, loss: 2.0302 +2025-06-04 05:24:09,272 - pyskl - INFO - Epoch [99][1900/2353] lr: 6.522e-03, eta: 14:24:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9956, loss_cls: 2.1914, loss: 2.1914 +2025-06-04 05:24:52,498 - pyskl - INFO - Epoch [99][2000/2353] lr: 6.513e-03, eta: 14:23:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 2.2480, loss: 2.2480 +2025-06-04 05:25:35,670 - pyskl - INFO - Epoch [99][2100/2353] lr: 6.503e-03, eta: 14:23:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9969, loss_cls: 2.1337, loss: 2.1337 +2025-06-04 05:26:18,902 - pyskl - INFO - Epoch [99][2200/2353] lr: 6.493e-03, eta: 14:22:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9244, top5_acc: 0.9900, loss_cls: 2.1691, loss: 2.1691 +2025-06-04 05:27:02,136 - pyskl - INFO - Epoch [99][2300/2353] lr: 6.483e-03, eta: 14:21:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 2.1723, loss: 2.1723 +2025-06-04 05:27:25,583 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-06-04 05:28:50,982 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 05:28:51,058 - pyskl - INFO - +top1_acc 0.9372 +top5_acc 0.9952 +2025-06-04 05:28:51,114 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_93.pth was removed +2025-06-04 05:28:52,134 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. +2025-06-04 05:28:52,135 - pyskl - INFO - Best top1_acc is 0.9372 at 99 epoch. +2025-06-04 05:28:52,138 - pyskl - INFO - Epoch(val) [99][1184] top1_acc: 0.9372, top5_acc: 0.9952 +2025-06-04 05:29:55,715 - pyskl - INFO - Epoch [100][100/2353] lr: 6.468e-03, eta: 14:20:30, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 2.0167, loss: 2.0167 +2025-06-04 05:30:38,784 - pyskl - INFO - Epoch [100][200/2353] lr: 6.459e-03, eta: 14:19:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 2.0468, loss: 2.0468 +2025-06-04 05:31:21,842 - pyskl - INFO - Epoch [100][300/2353] lr: 6.449e-03, eta: 14:19:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9275, top5_acc: 0.9906, loss_cls: 2.0743, loss: 2.0743 +2025-06-04 05:32:04,903 - pyskl - INFO - Epoch [100][400/2353] lr: 6.439e-03, eta: 14:18:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 2.0237, loss: 2.0237 +2025-06-04 05:32:48,030 - pyskl - INFO - Epoch [100][500/2353] lr: 6.429e-03, eta: 14:17:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 2.0094, loss: 2.0094 +2025-06-04 05:33:31,152 - pyskl - INFO - Epoch [100][600/2353] lr: 6.420e-03, eta: 14:16:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 2.0334, loss: 2.0334 +2025-06-04 05:34:13,899 - pyskl - INFO - Epoch [100][700/2353] lr: 6.410e-03, eta: 14:16:12, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9906, loss_cls: 2.1652, loss: 2.1652 +2025-06-04 05:34:57,227 - pyskl - INFO - Epoch [100][800/2353] lr: 6.400e-03, eta: 14:15:29, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9931, loss_cls: 2.0548, loss: 2.0548 +2025-06-04 05:35:40,460 - pyskl - INFO - Epoch [100][900/2353] lr: 6.391e-03, eta: 14:14:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 2.0732, loss: 2.0732 +2025-06-04 05:36:23,566 - pyskl - INFO - Epoch [100][1000/2353] lr: 6.381e-03, eta: 14:14:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9931, loss_cls: 2.1755, loss: 2.1755 +2025-06-04 05:37:06,638 - pyskl - INFO - Epoch [100][1100/2353] lr: 6.371e-03, eta: 14:13:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9931, loss_cls: 1.9665, loss: 1.9665 +2025-06-04 05:37:49,603 - pyskl - INFO - Epoch [100][1200/2353] lr: 6.362e-03, eta: 14:12:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9231, top5_acc: 0.9969, loss_cls: 2.1000, loss: 2.1000 +2025-06-04 05:38:32,614 - pyskl - INFO - Epoch [100][1300/2353] lr: 6.352e-03, eta: 14:11:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 2.0919, loss: 2.0919 +2025-06-04 05:39:15,705 - pyskl - INFO - Epoch [100][1400/2353] lr: 6.342e-03, eta: 14:11:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 2.0952, loss: 2.0952 +2025-06-04 05:39:58,751 - pyskl - INFO - Epoch [100][1500/2353] lr: 6.332e-03, eta: 14:10:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9219, top5_acc: 0.9894, loss_cls: 2.1715, loss: 2.1715 +2025-06-04 05:40:41,892 - pyskl - INFO - Epoch [100][1600/2353] lr: 6.323e-03, eta: 14:09:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9975, loss_cls: 2.0982, loss: 2.0982 +2025-06-04 05:41:24,985 - pyskl - INFO - Epoch [100][1700/2353] lr: 6.313e-03, eta: 14:09:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9906, loss_cls: 2.1901, loss: 2.1901 +2025-06-04 05:42:08,018 - pyskl - INFO - Epoch [100][1800/2353] lr: 6.303e-03, eta: 14:08:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9888, loss_cls: 2.1086, loss: 2.1086 +2025-06-04 05:42:51,148 - pyskl - INFO - Epoch [100][1900/2353] lr: 6.294e-03, eta: 14:07:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 2.1499, loss: 2.1499 +2025-06-04 05:43:34,195 - pyskl - INFO - Epoch [100][2000/2353] lr: 6.284e-03, eta: 14:06:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 2.1196, loss: 2.1196 +2025-06-04 05:44:17,300 - pyskl - INFO - Epoch [100][2100/2353] lr: 6.274e-03, eta: 14:06:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 2.0806, loss: 2.0806 +2025-06-04 05:45:00,513 - pyskl - INFO - Epoch [100][2200/2353] lr: 6.265e-03, eta: 14:05:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 2.0194, loss: 2.0194 +2025-06-04 05:45:43,752 - pyskl - INFO - Epoch [100][2300/2353] lr: 6.255e-03, eta: 14:04:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 2.0819, loss: 2.0819 +2025-06-04 05:46:07,156 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-06-04 05:55:04,136 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 05:55:04,211 - pyskl - INFO - +top1_acc 0.9368 +top5_acc 0.9932 +2025-06-04 05:55:04,214 - pyskl - INFO - Epoch(val) [100][1184] top1_acc: 0.9368, top5_acc: 0.9932 +2025-06-04 05:56:07,963 - pyskl - INFO - Epoch [101][100/2353] lr: 6.240e-03, eta: 14:03:36, time: 0.637, data_time: 0.208, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 2.0041, loss: 2.0041 +2025-06-04 05:56:50,988 - pyskl - INFO - Epoch [101][200/2353] lr: 6.231e-03, eta: 14:02:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 2.0485, loss: 2.0485 +2025-06-04 05:57:34,032 - pyskl - INFO - Epoch [101][300/2353] lr: 6.221e-03, eta: 14:02:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 2.0975, loss: 2.0975 +2025-06-04 05:58:17,128 - pyskl - INFO - Epoch [101][400/2353] lr: 6.212e-03, eta: 14:01:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 2.1271, loss: 2.1271 +2025-06-04 05:59:00,274 - pyskl - INFO - Epoch [101][500/2353] lr: 6.202e-03, eta: 14:00:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 2.0476, loss: 2.0476 +2025-06-04 05:59:43,454 - pyskl - INFO - Epoch [101][600/2353] lr: 6.192e-03, eta: 14:00:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 2.0378, loss: 2.0378 +2025-06-04 06:00:26,649 - pyskl - INFO - Epoch [101][700/2353] lr: 6.183e-03, eta: 13:59:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 2.1159, loss: 2.1159 +2025-06-04 06:01:10,084 - pyskl - INFO - Epoch [101][800/2353] lr: 6.173e-03, eta: 13:58:35, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 2.0462, loss: 2.0462 +2025-06-04 06:01:53,423 - pyskl - INFO - Epoch [101][900/2353] lr: 6.164e-03, eta: 13:57:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 1.9840, loss: 1.9840 +2025-06-04 06:02:36,624 - pyskl - INFO - Epoch [101][1000/2353] lr: 6.154e-03, eta: 13:57:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 2.0665, loss: 2.0665 +2025-06-04 06:03:19,963 - pyskl - INFO - Epoch [101][1100/2353] lr: 6.144e-03, eta: 13:56:26, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 2.0583, loss: 2.0583 +2025-06-04 06:04:03,179 - pyskl - INFO - Epoch [101][1200/2353] lr: 6.135e-03, eta: 13:55:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9919, loss_cls: 2.1320, loss: 2.1320 +2025-06-04 06:04:46,405 - pyskl - INFO - Epoch [101][1300/2353] lr: 6.125e-03, eta: 13:55:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 2.0566, loss: 2.0566 +2025-06-04 06:05:29,640 - pyskl - INFO - Epoch [101][1400/2353] lr: 6.116e-03, eta: 13:54:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9906, loss_cls: 2.0901, loss: 2.0901 +2025-06-04 06:06:12,826 - pyskl - INFO - Epoch [101][1500/2353] lr: 6.106e-03, eta: 13:53:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 2.0499, loss: 2.0499 +2025-06-04 06:06:55,955 - pyskl - INFO - Epoch [101][1600/2353] lr: 6.097e-03, eta: 13:52:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 1.9931, loss: 1.9931 +2025-06-04 06:07:39,033 - pyskl - INFO - Epoch [101][1700/2353] lr: 6.087e-03, eta: 13:52:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 2.0665, loss: 2.0665 +2025-06-04 06:08:22,160 - pyskl - INFO - Epoch [101][1800/2353] lr: 6.077e-03, eta: 13:51:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 2.1357, loss: 2.1357 +2025-06-04 06:09:05,215 - pyskl - INFO - Epoch [101][1900/2353] lr: 6.068e-03, eta: 13:50:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9287, top5_acc: 0.9969, loss_cls: 2.1449, loss: 2.1449 +2025-06-04 06:09:48,330 - pyskl - INFO - Epoch [101][2000/2353] lr: 6.058e-03, eta: 13:49:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 2.0786, loss: 2.0786 +2025-06-04 06:10:31,460 - pyskl - INFO - Epoch [101][2100/2353] lr: 6.049e-03, eta: 13:49:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 2.1004, loss: 2.1004 +2025-06-04 06:11:14,666 - pyskl - INFO - Epoch [101][2200/2353] lr: 6.039e-03, eta: 13:48:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 2.0438, loss: 2.0438 +2025-06-04 06:11:57,919 - pyskl - INFO - Epoch [101][2300/2353] lr: 6.030e-03, eta: 13:47:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 2.0251, loss: 2.0251 +2025-06-04 06:12:21,365 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-06-04 06:13:46,753 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 06:13:46,829 - pyskl - INFO - +top1_acc 0.9357 +top5_acc 0.9940 +2025-06-04 06:13:46,832 - pyskl - INFO - Epoch(val) [101][1184] top1_acc: 0.9357, top5_acc: 0.9940 +2025-06-04 06:14:50,293 - pyskl - INFO - Epoch [102][100/2353] lr: 6.015e-03, eta: 13:46:43, time: 0.635, data_time: 0.203, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9931, loss_cls: 1.9640, loss: 1.9640 +2025-06-04 06:15:33,311 - pyskl - INFO - Epoch [102][200/2353] lr: 6.006e-03, eta: 13:46:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 1.9229, loss: 1.9229 +2025-06-04 06:16:16,355 - pyskl - INFO - Epoch [102][300/2353] lr: 5.996e-03, eta: 13:45:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 2.0366, loss: 2.0366 +2025-06-04 06:16:59,412 - pyskl - INFO - Epoch [102][400/2353] lr: 5.987e-03, eta: 13:44:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 2.0679, loss: 2.0679 +2025-06-04 06:17:42,562 - pyskl - INFO - Epoch [102][500/2353] lr: 5.977e-03, eta: 13:43:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9925, loss_cls: 2.0292, loss: 2.0292 +2025-06-04 06:18:25,803 - pyskl - INFO - Epoch [102][600/2353] lr: 5.968e-03, eta: 13:43:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 1.9660, loss: 1.9660 +2025-06-04 06:19:08,985 - pyskl - INFO - Epoch [102][700/2353] lr: 5.958e-03, eta: 13:42:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 1.9963, loss: 1.9963 +2025-06-04 06:19:52,169 - pyskl - INFO - Epoch [102][800/2353] lr: 5.949e-03, eta: 13:41:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 2.0743, loss: 2.0743 +2025-06-04 06:20:35,464 - pyskl - INFO - Epoch [102][900/2353] lr: 5.939e-03, eta: 13:40:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 2.0604, loss: 2.0604 +2025-06-04 06:21:18,578 - pyskl - INFO - Epoch [102][1000/2353] lr: 5.930e-03, eta: 13:40:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 1.9430, loss: 1.9430 +2025-06-04 06:22:01,799 - pyskl - INFO - Epoch [102][1100/2353] lr: 5.920e-03, eta: 13:39:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 2.0947, loss: 2.0947 +2025-06-04 06:22:44,978 - pyskl - INFO - Epoch [102][1200/2353] lr: 5.911e-03, eta: 13:38:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9900, loss_cls: 2.1094, loss: 2.1094 +2025-06-04 06:23:28,061 - pyskl - INFO - Epoch [102][1300/2353] lr: 5.901e-03, eta: 13:38:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 2.0353, loss: 2.0353 +2025-06-04 06:24:11,187 - pyskl - INFO - Epoch [102][1400/2353] lr: 5.892e-03, eta: 13:37:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 2.0914, loss: 2.0914 +2025-06-04 06:24:54,251 - pyskl - INFO - Epoch [102][1500/2353] lr: 5.883e-03, eta: 13:36:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 2.1012, loss: 2.1012 +2025-06-04 06:25:37,392 - pyskl - INFO - Epoch [102][1600/2353] lr: 5.873e-03, eta: 13:35:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 2.0513, loss: 2.0513 +2025-06-04 06:26:20,532 - pyskl - INFO - Epoch [102][1700/2353] lr: 5.864e-03, eta: 13:35:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 1.9948, loss: 1.9948 +2025-06-04 06:27:03,569 - pyskl - INFO - Epoch [102][1800/2353] lr: 5.854e-03, eta: 13:34:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 2.0073, loss: 2.0073 +2025-06-04 06:27:46,585 - pyskl - INFO - Epoch [102][1900/2353] lr: 5.845e-03, eta: 13:33:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 1.9885, loss: 1.9885 +2025-06-04 06:28:29,616 - pyskl - INFO - Epoch [102][2000/2353] lr: 5.835e-03, eta: 13:33:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 2.1214, loss: 2.1214 +2025-06-04 06:29:12,605 - pyskl - INFO - Epoch [102][2100/2353] lr: 5.826e-03, eta: 13:32:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 2.0531, loss: 2.0531 +2025-06-04 06:29:55,724 - pyskl - INFO - Epoch [102][2200/2353] lr: 5.817e-03, eta: 13:31:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 2.0557, loss: 2.0557 +2025-06-04 06:30:38,691 - pyskl - INFO - Epoch [102][2300/2353] lr: 5.807e-03, eta: 13:30:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 2.1224, loss: 2.1224 +2025-06-04 06:31:02,138 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-06-04 06:32:27,553 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 06:32:27,630 - pyskl - INFO - +top1_acc 0.9347 +top5_acc 0.9943 +2025-06-04 06:32:27,633 - pyskl - INFO - Epoch(val) [102][1184] top1_acc: 0.9347, top5_acc: 0.9943 +2025-06-04 06:33:31,312 - pyskl - INFO - Epoch [103][100/2353] lr: 5.793e-03, eta: 13:29:49, time: 0.637, data_time: 0.206, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 2.0105, loss: 2.0105 +2025-06-04 06:34:14,530 - pyskl - INFO - Epoch [103][200/2353] lr: 5.783e-03, eta: 13:29:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 2.0017, loss: 2.0017 +2025-06-04 06:34:57,992 - pyskl - INFO - Epoch [103][300/2353] lr: 5.774e-03, eta: 13:28:24, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 1.9655, loss: 1.9655 +2025-06-04 06:35:41,234 - pyskl - INFO - Epoch [103][400/2353] lr: 5.765e-03, eta: 13:27:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 1.9979, loss: 1.9979 +2025-06-04 06:36:24,361 - pyskl - INFO - Epoch [103][500/2353] lr: 5.755e-03, eta: 13:26:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 2.0198, loss: 2.0198 +2025-06-04 06:37:07,613 - pyskl - INFO - Epoch [103][600/2353] lr: 5.746e-03, eta: 13:26:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 2.0631, loss: 2.0631 +2025-06-04 06:37:50,805 - pyskl - INFO - Epoch [103][700/2353] lr: 5.737e-03, eta: 13:25:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9906, loss_cls: 2.0812, loss: 2.0812 +2025-06-04 06:38:33,908 - pyskl - INFO - Epoch [103][800/2353] lr: 5.727e-03, eta: 13:24:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9950, loss_cls: 1.9389, loss: 1.9389 +2025-06-04 06:39:17,088 - pyskl - INFO - Epoch [103][900/2353] lr: 5.718e-03, eta: 13:24:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 2.0612, loss: 2.0612 +2025-06-04 06:40:00,236 - pyskl - INFO - Epoch [103][1000/2353] lr: 5.709e-03, eta: 13:23:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9912, loss_cls: 2.0683, loss: 2.0683 +2025-06-04 06:40:43,367 - pyskl - INFO - Epoch [103][1100/2353] lr: 5.699e-03, eta: 13:22:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 2.0738, loss: 2.0738 +2025-06-04 06:41:26,335 - pyskl - INFO - Epoch [103][1200/2353] lr: 5.690e-03, eta: 13:21:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 2.0694, loss: 2.0694 +2025-06-04 06:42:09,425 - pyskl - INFO - Epoch [103][1300/2353] lr: 5.681e-03, eta: 13:21:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 2.0187, loss: 2.0187 +2025-06-04 06:42:52,425 - pyskl - INFO - Epoch [103][1400/2353] lr: 5.671e-03, eta: 13:20:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 2.0743, loss: 2.0743 +2025-06-04 06:43:35,538 - pyskl - INFO - Epoch [103][1500/2353] lr: 5.662e-03, eta: 13:19:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 2.1055, loss: 2.1055 +2025-06-04 06:44:18,605 - pyskl - INFO - Epoch [103][1600/2353] lr: 5.653e-03, eta: 13:19:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 2.0138, loss: 2.0138 +2025-06-04 06:45:01,656 - pyskl - INFO - Epoch [103][1700/2353] lr: 5.643e-03, eta: 13:18:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 2.0690, loss: 2.0690 +2025-06-04 06:45:44,846 - pyskl - INFO - Epoch [103][1800/2353] lr: 5.634e-03, eta: 13:17:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 2.0755, loss: 2.0755 +2025-06-04 06:46:27,981 - pyskl - INFO - Epoch [103][1900/2353] lr: 5.625e-03, eta: 13:16:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 2.0151, loss: 2.0151 +2025-06-04 06:47:11,078 - pyskl - INFO - Epoch [103][2000/2353] lr: 5.615e-03, eta: 13:16:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 2.0636, loss: 2.0636 +2025-06-04 06:47:54,147 - pyskl - INFO - Epoch [103][2100/2353] lr: 5.606e-03, eta: 13:15:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9294, top5_acc: 0.9969, loss_cls: 2.0997, loss: 2.0997 +2025-06-04 06:48:37,362 - pyskl - INFO - Epoch [103][2200/2353] lr: 5.597e-03, eta: 13:14:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9306, top5_acc: 0.9912, loss_cls: 2.0723, loss: 2.0723 +2025-06-04 06:49:20,422 - pyskl - INFO - Epoch [103][2300/2353] lr: 5.588e-03, eta: 13:14:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 2.1719, loss: 2.1719 +2025-06-04 06:49:43,766 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-06-04 06:51:09,184 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 06:51:09,260 - pyskl - INFO - +top1_acc 0.9385 +top5_acc 0.9944 +2025-06-04 06:51:09,317 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_99.pth was removed +2025-06-04 06:51:10,355 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_103.pth. +2025-06-04 06:51:10,356 - pyskl - INFO - Best top1_acc is 0.9385 at 103 epoch. +2025-06-04 06:51:10,359 - pyskl - INFO - Epoch(val) [103][1184] top1_acc: 0.9385, top5_acc: 0.9944 +2025-06-04 06:52:14,432 - pyskl - INFO - Epoch [104][100/2353] lr: 5.573e-03, eta: 13:12:56, time: 0.641, data_time: 0.207, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9938, loss_cls: 2.0008, loss: 2.0008 +2025-06-04 06:52:57,620 - pyskl - INFO - Epoch [104][200/2353] lr: 5.564e-03, eta: 13:12:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 1.9465, loss: 1.9465 +2025-06-04 06:53:40,793 - pyskl - INFO - Epoch [104][300/2353] lr: 5.555e-03, eta: 13:11:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 1.9988, loss: 1.9988 +2025-06-04 06:54:23,853 - pyskl - INFO - Epoch [104][400/2353] lr: 5.546e-03, eta: 13:10:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 1.9442, loss: 1.9442 +2025-06-04 06:55:07,017 - pyskl - INFO - Epoch [104][500/2353] lr: 5.536e-03, eta: 13:10:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 1.9070, loss: 1.9070 +2025-06-04 06:55:50,326 - pyskl - INFO - Epoch [104][600/2353] lr: 5.527e-03, eta: 13:09:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 1.9582, loss: 1.9582 +2025-06-04 06:56:33,496 - pyskl - INFO - Epoch [104][700/2353] lr: 5.518e-03, eta: 13:08:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 2.0078, loss: 2.0078 +2025-06-04 06:57:16,608 - pyskl - INFO - Epoch [104][800/2353] lr: 5.509e-03, eta: 13:07:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 1.9478, loss: 1.9478 +2025-06-04 06:57:59,800 - pyskl - INFO - Epoch [104][900/2353] lr: 5.500e-03, eta: 13:07:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 1.9701, loss: 1.9701 +2025-06-04 06:58:42,938 - pyskl - INFO - Epoch [104][1000/2353] lr: 5.490e-03, eta: 13:06:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 1.9442, loss: 1.9442 +2025-06-04 06:59:26,016 - pyskl - INFO - Epoch [104][1100/2353] lr: 5.481e-03, eta: 13:05:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 2.0787, loss: 2.0787 +2025-06-04 07:00:09,209 - pyskl - INFO - Epoch [104][1200/2353] lr: 5.472e-03, eta: 13:05:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 2.0968, loss: 2.0968 +2025-06-04 07:00:52,451 - pyskl - INFO - Epoch [104][1300/2353] lr: 5.463e-03, eta: 13:04:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 2.0202, loss: 2.0202 +2025-06-04 07:01:35,543 - pyskl - INFO - Epoch [104][1400/2353] lr: 5.453e-03, eta: 13:03:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 2.0551, loss: 2.0551 +2025-06-04 07:02:18,738 - pyskl - INFO - Epoch [104][1500/2353] lr: 5.444e-03, eta: 13:02:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 2.0202, loss: 2.0202 +2025-06-04 07:03:01,886 - pyskl - INFO - Epoch [104][1600/2353] lr: 5.435e-03, eta: 13:02:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 2.0372, loss: 2.0372 +2025-06-04 07:03:45,063 - pyskl - INFO - Epoch [104][1700/2353] lr: 5.426e-03, eta: 13:01:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 2.0286, loss: 2.0286 +2025-06-04 07:04:28,178 - pyskl - INFO - Epoch [104][1800/2353] lr: 5.417e-03, eta: 13:00:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 2.0112, loss: 2.0112 +2025-06-04 07:05:11,295 - pyskl - INFO - Epoch [104][1900/2353] lr: 5.408e-03, eta: 13:00:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 1.9761, loss: 1.9761 +2025-06-04 07:05:54,581 - pyskl - INFO - Epoch [104][2000/2353] lr: 5.398e-03, eta: 12:59:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 2.0018, loss: 2.0018 +2025-06-04 07:06:37,752 - pyskl - INFO - Epoch [104][2100/2353] lr: 5.389e-03, eta: 12:58:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 2.0709, loss: 2.0709 +2025-06-04 07:07:20,980 - pyskl - INFO - Epoch [104][2200/2353] lr: 5.380e-03, eta: 12:57:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 2.0030, loss: 2.0030 +2025-06-04 07:08:04,208 - pyskl - INFO - Epoch [104][2300/2353] lr: 5.371e-03, eta: 12:57:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 1.9484, loss: 1.9484 +2025-06-04 07:08:27,734 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-06-04 07:09:53,156 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 07:09:53,232 - pyskl - INFO - +top1_acc 0.9443 +top5_acc 0.9939 +2025-06-04 07:09:53,289 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_103.pth was removed +2025-06-04 07:09:54,350 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2025-06-04 07:09:54,351 - pyskl - INFO - Best top1_acc is 0.9443 at 104 epoch. +2025-06-04 07:09:54,355 - pyskl - INFO - Epoch(val) [104][1184] top1_acc: 0.9443, top5_acc: 0.9939 +2025-06-04 07:10:58,124 - pyskl - INFO - Epoch [105][100/2353] lr: 5.357e-03, eta: 12:56:03, time: 0.638, data_time: 0.205, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 1.8942, loss: 1.8942 +2025-06-04 07:11:41,342 - pyskl - INFO - Epoch [105][200/2353] lr: 5.348e-03, eta: 12:55:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 2.0135, loss: 2.0135 +2025-06-04 07:12:24,591 - pyskl - INFO - Epoch [105][300/2353] lr: 5.339e-03, eta: 12:54:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 1.9206, loss: 1.9206 +2025-06-04 07:13:07,886 - pyskl - INFO - Epoch [105][400/2353] lr: 5.330e-03, eta: 12:53:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 1.9762, loss: 1.9762 +2025-06-04 07:13:51,080 - pyskl - INFO - Epoch [105][500/2353] lr: 5.321e-03, eta: 12:53:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 2.0395, loss: 2.0395 +2025-06-04 07:14:34,284 - pyskl - INFO - Epoch [105][600/2353] lr: 5.311e-03, eta: 12:52:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 1.9523, loss: 1.9523 +2025-06-04 07:15:17,555 - pyskl - INFO - Epoch [105][700/2353] lr: 5.302e-03, eta: 12:51:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9994, loss_cls: 1.8816, loss: 1.8816 +2025-06-04 07:16:01,014 - pyskl - INFO - Epoch [105][800/2353] lr: 5.293e-03, eta: 12:51:02, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 1.9467, loss: 1.9467 +2025-06-04 07:16:44,220 - pyskl - INFO - Epoch [105][900/2353] lr: 5.284e-03, eta: 12:50:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9381, top5_acc: 0.9925, loss_cls: 2.0588, loss: 2.0588 +2025-06-04 07:17:27,391 - pyskl - INFO - Epoch [105][1000/2353] lr: 5.275e-03, eta: 12:49:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 1.9914, loss: 1.9914 +2025-06-04 07:18:10,623 - pyskl - INFO - Epoch [105][1100/2353] lr: 5.266e-03, eta: 12:48:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 2.0366, loss: 2.0366 +2025-06-04 07:18:54,007 - pyskl - INFO - Epoch [105][1200/2353] lr: 5.257e-03, eta: 12:48:11, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 1.9274, loss: 1.9274 +2025-06-04 07:19:37,078 - pyskl - INFO - Epoch [105][1300/2353] lr: 5.248e-03, eta: 12:47:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 1.9662, loss: 1.9662 +2025-06-04 07:20:20,290 - pyskl - INFO - Epoch [105][1400/2353] lr: 5.239e-03, eta: 12:46:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 1.9652, loss: 1.9652 +2025-06-04 07:21:03,515 - pyskl - INFO - Epoch [105][1500/2353] lr: 5.230e-03, eta: 12:46:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 2.0527, loss: 2.0527 +2025-06-04 07:21:46,770 - pyskl - INFO - Epoch [105][1600/2353] lr: 5.221e-03, eta: 12:45:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 2.0252, loss: 2.0252 +2025-06-04 07:22:29,900 - pyskl - INFO - Epoch [105][1700/2353] lr: 5.212e-03, eta: 12:44:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 1.9837, loss: 1.9837 +2025-06-04 07:23:13,137 - pyskl - INFO - Epoch [105][1800/2353] lr: 5.203e-03, eta: 12:43:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 1.9701, loss: 1.9701 +2025-06-04 07:23:56,227 - pyskl - INFO - Epoch [105][1900/2353] lr: 5.194e-03, eta: 12:43:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 2.0155, loss: 2.0155 +2025-06-04 07:24:39,519 - pyskl - INFO - Epoch [105][2000/2353] lr: 5.185e-03, eta: 12:42:27, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 2.0283, loss: 2.0283 +2025-06-04 07:25:22,755 - pyskl - INFO - Epoch [105][2100/2353] lr: 5.176e-03, eta: 12:41:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 1.9884, loss: 1.9884 +2025-06-04 07:26:06,173 - pyskl - INFO - Epoch [105][2200/2353] lr: 5.167e-03, eta: 12:41:01, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9456, top5_acc: 0.9938, loss_cls: 1.8769, loss: 1.8769 +2025-06-04 07:26:49,624 - pyskl - INFO - Epoch [105][2300/2353] lr: 5.158e-03, eta: 12:40:18, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 2.0705, loss: 2.0705 +2025-06-04 07:27:13,125 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-06-04 07:36:00,350 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 07:36:00,425 - pyskl - INFO - +top1_acc 0.9369 +top5_acc 0.9934 +2025-06-04 07:36:00,429 - pyskl - INFO - Epoch(val) [105][1184] top1_acc: 0.9369, top5_acc: 0.9934 +2025-06-04 07:37:03,896 - pyskl - INFO - Epoch [106][100/2353] lr: 5.144e-03, eta: 12:39:11, time: 0.635, data_time: 0.206, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 1.8992, loss: 1.8992 +2025-06-04 07:37:46,822 - pyskl - INFO - Epoch [106][200/2353] lr: 5.135e-03, eta: 12:38:28, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9950, loss_cls: 1.9208, loss: 1.9208 +2025-06-04 07:38:29,856 - pyskl - INFO - Epoch [106][300/2353] lr: 5.126e-03, eta: 12:37:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 1.9361, loss: 1.9361 +2025-06-04 07:39:12,861 - pyskl - INFO - Epoch [106][400/2353] lr: 5.117e-03, eta: 12:37:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 2.0051, loss: 2.0051 +2025-06-04 07:39:55,783 - pyskl - INFO - Epoch [106][500/2353] lr: 5.108e-03, eta: 12:36:18, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 2.0058, loss: 2.0058 +2025-06-04 07:40:38,766 - pyskl - INFO - Epoch [106][600/2353] lr: 5.099e-03, eta: 12:35:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9944, loss_cls: 1.8867, loss: 1.8867 +2025-06-04 07:41:21,883 - pyskl - INFO - Epoch [106][700/2353] lr: 5.090e-03, eta: 12:34:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9925, loss_cls: 1.9151, loss: 1.9151 +2025-06-04 07:42:05,149 - pyskl - INFO - Epoch [106][800/2353] lr: 5.081e-03, eta: 12:34:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 1.9642, loss: 1.9642 +2025-06-04 07:42:48,242 - pyskl - INFO - Epoch [106][900/2353] lr: 5.072e-03, eta: 12:33:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 1.9400, loss: 1.9400 +2025-06-04 07:43:31,236 - pyskl - INFO - Epoch [106][1000/2353] lr: 5.063e-03, eta: 12:32:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 1.9239, loss: 1.9239 +2025-06-04 07:44:14,321 - pyskl - INFO - Epoch [106][1100/2353] lr: 5.054e-03, eta: 12:32:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 2.0002, loss: 2.0002 +2025-06-04 07:44:57,548 - pyskl - INFO - Epoch [106][1200/2353] lr: 5.045e-03, eta: 12:31:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 1.9968, loss: 1.9968 +2025-06-04 07:45:40,676 - pyskl - INFO - Epoch [106][1300/2353] lr: 5.036e-03, eta: 12:30:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 1.9785, loss: 1.9785 +2025-06-04 07:46:23,727 - pyskl - INFO - Epoch [106][1400/2353] lr: 5.027e-03, eta: 12:29:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9950, loss_cls: 1.9598, loss: 1.9598 +2025-06-04 07:47:06,756 - pyskl - INFO - Epoch [106][1500/2353] lr: 5.018e-03, eta: 12:29:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 1.9510, loss: 1.9510 +2025-06-04 07:47:49,799 - pyskl - INFO - Epoch [106][1600/2353] lr: 5.010e-03, eta: 12:28:25, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 1.9031, loss: 1.9031 +2025-06-04 07:48:32,850 - pyskl - INFO - Epoch [106][1700/2353] lr: 5.001e-03, eta: 12:27:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 1.9625, loss: 1.9625 +2025-06-04 07:49:15,977 - pyskl - INFO - Epoch [106][1800/2353] lr: 4.992e-03, eta: 12:26:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9938, loss_cls: 1.9485, loss: 1.9485 +2025-06-04 07:49:59,042 - pyskl - INFO - Epoch [106][1900/2353] lr: 4.983e-03, eta: 12:26:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 1.9021, loss: 1.9021 +2025-06-04 07:50:42,146 - pyskl - INFO - Epoch [106][2000/2353] lr: 4.974e-03, eta: 12:25:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 2.0038, loss: 2.0038 +2025-06-04 07:51:25,307 - pyskl - INFO - Epoch [106][2100/2353] lr: 4.965e-03, eta: 12:24:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 1.9483, loss: 1.9483 +2025-06-04 07:52:08,380 - pyskl - INFO - Epoch [106][2200/2353] lr: 4.956e-03, eta: 12:24:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 2.0518, loss: 2.0518 +2025-06-04 07:52:51,576 - pyskl - INFO - Epoch [106][2300/2353] lr: 4.947e-03, eta: 12:23:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 1.9834, loss: 1.9834 +2025-06-04 07:53:15,091 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-06-04 07:54:40,744 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 07:54:40,832 - pyskl - INFO - +top1_acc 0.9388 +top5_acc 0.9943 +2025-06-04 07:54:40,837 - pyskl - INFO - Epoch(val) [106][1184] top1_acc: 0.9388, top5_acc: 0.9943 +2025-06-04 07:55:44,972 - pyskl - INFO - Epoch [107][100/2353] lr: 4.934e-03, eta: 12:22:17, time: 0.641, data_time: 0.210, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 1.9664, loss: 1.9664 +2025-06-04 07:56:28,103 - pyskl - INFO - Epoch [107][200/2353] lr: 4.925e-03, eta: 12:21:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 1.8890, loss: 1.8890 +2025-06-04 07:57:11,303 - pyskl - INFO - Epoch [107][300/2353] lr: 4.916e-03, eta: 12:20:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9950, loss_cls: 1.8462, loss: 1.8462 +2025-06-04 07:57:54,522 - pyskl - INFO - Epoch [107][400/2353] lr: 4.907e-03, eta: 12:20:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 1.7946, loss: 1.7946 +2025-06-04 07:58:37,820 - pyskl - INFO - Epoch [107][500/2353] lr: 4.898e-03, eta: 12:19:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9944, loss_cls: 1.9090, loss: 1.9090 +2025-06-04 07:59:20,976 - pyskl - INFO - Epoch [107][600/2353] lr: 4.890e-03, eta: 12:18:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 1.9218, loss: 1.9218 +2025-06-04 08:00:04,456 - pyskl - INFO - Epoch [107][700/2353] lr: 4.881e-03, eta: 12:17:59, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 1.0000, loss_cls: 1.9439, loss: 1.9439 +2025-06-04 08:00:47,783 - pyskl - INFO - Epoch [107][800/2353] lr: 4.872e-03, eta: 12:17:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 1.8604, loss: 1.8604 +2025-06-04 08:01:30,937 - pyskl - INFO - Epoch [107][900/2353] lr: 4.863e-03, eta: 12:16:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 1.9844, loss: 1.9844 +2025-06-04 08:02:14,130 - pyskl - INFO - Epoch [107][1000/2353] lr: 4.854e-03, eta: 12:15:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9938, loss_cls: 1.9547, loss: 1.9547 +2025-06-04 08:02:57,232 - pyskl - INFO - Epoch [107][1100/2353] lr: 4.845e-03, eta: 12:15:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 1.9324, loss: 1.9324 +2025-06-04 08:03:40,330 - pyskl - INFO - Epoch [107][1200/2353] lr: 4.837e-03, eta: 12:14:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 1.8899, loss: 1.8899 +2025-06-04 08:04:23,436 - pyskl - INFO - Epoch [107][1300/2353] lr: 4.828e-03, eta: 12:13:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 1.9103, loss: 1.9103 +2025-06-04 08:05:06,582 - pyskl - INFO - Epoch [107][1400/2353] lr: 4.819e-03, eta: 12:12:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 1.9190, loss: 1.9190 +2025-06-04 08:05:49,714 - pyskl - INFO - Epoch [107][1500/2353] lr: 4.810e-03, eta: 12:12:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9475, top5_acc: 0.9931, loss_cls: 1.9468, loss: 1.9468 +2025-06-04 08:06:32,825 - pyskl - INFO - Epoch [107][1600/2353] lr: 4.802e-03, eta: 12:11:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 2.0492, loss: 2.0492 +2025-06-04 08:07:15,875 - pyskl - INFO - Epoch [107][1700/2353] lr: 4.793e-03, eta: 12:10:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 2.0035, loss: 2.0035 +2025-06-04 08:07:58,877 - pyskl - INFO - Epoch [107][1800/2353] lr: 4.784e-03, eta: 12:10:06, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 1.8956, loss: 1.8956 +2025-06-04 08:08:42,035 - pyskl - INFO - Epoch [107][1900/2353] lr: 4.775e-03, eta: 12:09:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 2.0331, loss: 2.0331 +2025-06-04 08:09:25,140 - pyskl - INFO - Epoch [107][2000/2353] lr: 4.767e-03, eta: 12:08:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 1.8816, loss: 1.8816 +2025-06-04 08:10:08,214 - pyskl - INFO - Epoch [107][2100/2353] lr: 4.758e-03, eta: 12:07:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 1.9040, loss: 1.9040 +2025-06-04 08:10:51,247 - pyskl - INFO - Epoch [107][2200/2353] lr: 4.749e-03, eta: 12:07:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9481, top5_acc: 0.9900, loss_cls: 2.0073, loss: 2.0073 +2025-06-04 08:11:34,284 - pyskl - INFO - Epoch [107][2300/2353] lr: 4.740e-03, eta: 12:06:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 1.9681, loss: 1.9681 +2025-06-04 08:11:57,767 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-06-04 08:13:23,166 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 08:13:23,246 - pyskl - INFO - +top1_acc 0.9324 +top5_acc 0.9933 +2025-06-04 08:13:23,249 - pyskl - INFO - Epoch(val) [107][1184] top1_acc: 0.9324, top5_acc: 0.9933 +2025-06-04 08:14:27,112 - pyskl - INFO - Epoch [108][100/2353] lr: 4.727e-03, eta: 12:05:24, time: 0.639, data_time: 0.206, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 1.9309, loss: 1.9309 +2025-06-04 08:15:10,309 - pyskl - INFO - Epoch [108][200/2353] lr: 4.718e-03, eta: 12:04:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 1.8816, loss: 1.8816 +2025-06-04 08:15:53,451 - pyskl - INFO - Epoch [108][300/2353] lr: 4.710e-03, eta: 12:03:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 1.9429, loss: 1.9429 +2025-06-04 08:16:36,636 - pyskl - INFO - Epoch [108][400/2353] lr: 4.701e-03, eta: 12:03:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 1.8679, loss: 1.8679 +2025-06-04 08:17:19,732 - pyskl - INFO - Epoch [108][500/2353] lr: 4.692e-03, eta: 12:02:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 1.8566, loss: 1.8566 +2025-06-04 08:18:02,843 - pyskl - INFO - Epoch [108][600/2353] lr: 4.684e-03, eta: 12:01:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 1.9016, loss: 1.9016 +2025-06-04 08:18:45,976 - pyskl - INFO - Epoch [108][700/2353] lr: 4.675e-03, eta: 12:01:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 1.8371, loss: 1.8371 +2025-06-04 08:19:29,270 - pyskl - INFO - Epoch [108][800/2353] lr: 4.666e-03, eta: 12:00:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 1.9364, loss: 1.9364 +2025-06-04 08:20:12,456 - pyskl - INFO - Epoch [108][900/2353] lr: 4.658e-03, eta: 11:59:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9531, top5_acc: 0.9950, loss_cls: 1.9437, loss: 1.9437 +2025-06-04 08:20:55,620 - pyskl - INFO - Epoch [108][1000/2353] lr: 4.649e-03, eta: 11:58:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 1.9739, loss: 1.9739 +2025-06-04 08:21:38,688 - pyskl - INFO - Epoch [108][1100/2353] lr: 4.640e-03, eta: 11:58:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 1.8315, loss: 1.8315 +2025-06-04 08:22:21,752 - pyskl - INFO - Epoch [108][1200/2353] lr: 4.632e-03, eta: 11:57:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 1.9254, loss: 1.9254 +2025-06-04 08:23:04,915 - pyskl - INFO - Epoch [108][1300/2353] lr: 4.623e-03, eta: 11:56:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 1.9034, loss: 1.9034 +2025-06-04 08:23:48,051 - pyskl - INFO - Epoch [108][1400/2353] lr: 4.614e-03, eta: 11:56:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 1.9463, loss: 1.9463 +2025-06-04 08:24:31,117 - pyskl - INFO - Epoch [108][1500/2353] lr: 4.606e-03, eta: 11:55:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9938, loss_cls: 1.8807, loss: 1.8807 +2025-06-04 08:25:14,413 - pyskl - INFO - Epoch [108][1600/2353] lr: 4.597e-03, eta: 11:54:38, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9950, loss_cls: 1.8734, loss: 1.8734 +2025-06-04 08:25:57,475 - pyskl - INFO - Epoch [108][1700/2353] lr: 4.588e-03, eta: 11:53:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9950, loss_cls: 1.9191, loss: 1.9191 +2025-06-04 08:26:40,550 - pyskl - INFO - Epoch [108][1800/2353] lr: 4.580e-03, eta: 11:53:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 1.8624, loss: 1.8624 +2025-06-04 08:27:23,675 - pyskl - INFO - Epoch [108][1900/2353] lr: 4.571e-03, eta: 11:52:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 1.9887, loss: 1.9887 +2025-06-04 08:28:06,687 - pyskl - INFO - Epoch [108][2000/2353] lr: 4.563e-03, eta: 11:51:46, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 1.9564, loss: 1.9564 +2025-06-04 08:28:49,775 - pyskl - INFO - Epoch [108][2100/2353] lr: 4.554e-03, eta: 11:51:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 1.9093, loss: 1.9093 +2025-06-04 08:29:32,870 - pyskl - INFO - Epoch [108][2200/2353] lr: 4.545e-03, eta: 11:50:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 1.9295, loss: 1.9295 +2025-06-04 08:30:16,038 - pyskl - INFO - Epoch [108][2300/2353] lr: 4.537e-03, eta: 11:49:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 1.9023, loss: 1.9023 +2025-06-04 08:30:39,459 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-06-04 08:32:04,815 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 08:32:04,891 - pyskl - INFO - +top1_acc 0.9414 +top5_acc 0.9942 +2025-06-04 08:32:04,894 - pyskl - INFO - Epoch(val) [108][1184] top1_acc: 0.9414, top5_acc: 0.9942 +2025-06-04 08:33:09,110 - pyskl - INFO - Epoch [109][100/2353] lr: 4.524e-03, eta: 11:48:31, time: 0.642, data_time: 0.207, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 1.8456, loss: 1.8456 +2025-06-04 08:33:52,425 - pyskl - INFO - Epoch [109][200/2353] lr: 4.515e-03, eta: 11:47:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 1.9212, loss: 1.9212 +2025-06-04 08:34:35,479 - pyskl - INFO - Epoch [109][300/2353] lr: 4.507e-03, eta: 11:47:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 1.9088, loss: 1.9088 +2025-06-04 08:35:18,606 - pyskl - INFO - Epoch [109][400/2353] lr: 4.498e-03, eta: 11:46:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 1.8093, loss: 1.8093 +2025-06-04 08:36:01,755 - pyskl - INFO - Epoch [109][500/2353] lr: 4.490e-03, eta: 11:45:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 1.8231, loss: 1.8231 +2025-06-04 08:36:44,971 - pyskl - INFO - Epoch [109][600/2353] lr: 4.481e-03, eta: 11:44:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 1.8491, loss: 1.8491 +2025-06-04 08:37:28,332 - pyskl - INFO - Epoch [109][700/2353] lr: 4.472e-03, eta: 11:44:13, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 1.8498, loss: 1.8498 +2025-06-04 08:38:11,697 - pyskl - INFO - Epoch [109][800/2353] lr: 4.464e-03, eta: 11:43:30, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 1.8975, loss: 1.8975 +2025-06-04 08:38:54,906 - pyskl - INFO - Epoch [109][900/2353] lr: 4.455e-03, eta: 11:42:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 1.9124, loss: 1.9124 +2025-06-04 08:39:38,077 - pyskl - INFO - Epoch [109][1000/2353] lr: 4.447e-03, eta: 11:42:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 1.9029, loss: 1.9029 +2025-06-04 08:40:21,307 - pyskl - INFO - Epoch [109][1100/2353] lr: 4.438e-03, eta: 11:41:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 1.9066, loss: 1.9066 +2025-06-04 08:41:04,421 - pyskl - INFO - Epoch [109][1200/2353] lr: 4.430e-03, eta: 11:40:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 1.9241, loss: 1.9241 +2025-06-04 08:41:47,315 - pyskl - INFO - Epoch [109][1300/2353] lr: 4.421e-03, eta: 11:39:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 1.8758, loss: 1.8758 +2025-06-04 08:42:30,538 - pyskl - INFO - Epoch [109][1400/2353] lr: 4.413e-03, eta: 11:39:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 1.8726, loss: 1.8726 +2025-06-04 08:43:13,717 - pyskl - INFO - Epoch [109][1500/2353] lr: 4.404e-03, eta: 11:38:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 1.9093, loss: 1.9093 +2025-06-04 08:43:56,820 - pyskl - INFO - Epoch [109][1600/2353] lr: 4.396e-03, eta: 11:37:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 1.8952, loss: 1.8952 +2025-06-04 08:44:39,966 - pyskl - INFO - Epoch [109][1700/2353] lr: 4.387e-03, eta: 11:37:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 1.8173, loss: 1.8173 +2025-06-04 08:45:23,026 - pyskl - INFO - Epoch [109][1800/2353] lr: 4.379e-03, eta: 11:36:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 1.9647, loss: 1.9647 +2025-06-04 08:46:06,187 - pyskl - INFO - Epoch [109][1900/2353] lr: 4.371e-03, eta: 11:35:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 1.9358, loss: 1.9358 +2025-06-04 08:46:49,288 - pyskl - INFO - Epoch [109][2000/2353] lr: 4.362e-03, eta: 11:34:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 1.9239, loss: 1.9239 +2025-06-04 08:47:32,444 - pyskl - INFO - Epoch [109][2100/2353] lr: 4.354e-03, eta: 11:34:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 1.8662, loss: 1.8662 +2025-06-04 08:48:15,577 - pyskl - INFO - Epoch [109][2200/2353] lr: 4.345e-03, eta: 11:33:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 1.9563, loss: 1.9563 +2025-06-04 08:48:58,590 - pyskl - INFO - Epoch [109][2300/2353] lr: 4.337e-03, eta: 11:32:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9938, loss_cls: 1.8802, loss: 1.8802 +2025-06-04 08:49:22,066 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-06-04 08:50:47,541 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 08:50:47,618 - pyskl - INFO - +top1_acc 0.9385 +top5_acc 0.9954 +2025-06-04 08:50:47,622 - pyskl - INFO - Epoch(val) [109][1184] top1_acc: 0.9385, top5_acc: 0.9954 +2025-06-04 08:51:51,364 - pyskl - INFO - Epoch [110][100/2353] lr: 4.324e-03, eta: 11:31:37, time: 0.637, data_time: 0.207, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 1.8068, loss: 1.8068 +2025-06-04 08:52:34,461 - pyskl - INFO - Epoch [110][200/2353] lr: 4.315e-03, eta: 11:30:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 1.9184, loss: 1.9184 +2025-06-04 08:53:17,510 - pyskl - INFO - Epoch [110][300/2353] lr: 4.307e-03, eta: 11:30:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 1.8535, loss: 1.8535 +2025-06-04 08:54:00,686 - pyskl - INFO - Epoch [110][400/2353] lr: 4.299e-03, eta: 11:29:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.7998, loss: 1.7998 +2025-06-04 08:54:43,811 - pyskl - INFO - Epoch [110][500/2353] lr: 4.290e-03, eta: 11:28:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9962, loss_cls: 1.8184, loss: 1.8184 +2025-06-04 08:55:27,183 - pyskl - INFO - Epoch [110][600/2353] lr: 4.282e-03, eta: 11:28:02, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 1.7647, loss: 1.7647 +2025-06-04 08:56:10,567 - pyskl - INFO - Epoch [110][700/2353] lr: 4.274e-03, eta: 11:27:19, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 1.7416, loss: 1.7416 +2025-06-04 08:56:54,074 - pyskl - INFO - Epoch [110][800/2353] lr: 4.265e-03, eta: 11:26:36, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 1.8607, loss: 1.8607 +2025-06-04 08:57:37,354 - pyskl - INFO - Epoch [110][900/2353] lr: 4.257e-03, eta: 11:25:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9950, loss_cls: 1.8628, loss: 1.8628 +2025-06-04 08:58:20,546 - pyskl - INFO - Epoch [110][1000/2353] lr: 4.248e-03, eta: 11:25:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 1.8653, loss: 1.8653 +2025-06-04 08:59:03,639 - pyskl - INFO - Epoch [110][1100/2353] lr: 4.240e-03, eta: 11:24:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 1.8968, loss: 1.8968 +2025-06-04 08:59:46,804 - pyskl - INFO - Epoch [110][1200/2353] lr: 4.232e-03, eta: 11:23:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 1.8518, loss: 1.8518 +2025-06-04 09:00:29,911 - pyskl - INFO - Epoch [110][1300/2353] lr: 4.223e-03, eta: 11:23:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 1.8969, loss: 1.8969 +2025-06-04 09:01:13,104 - pyskl - INFO - Epoch [110][1400/2353] lr: 4.215e-03, eta: 11:22:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 1.8433, loss: 1.8433 +2025-06-04 09:01:56,428 - pyskl - INFO - Epoch [110][1500/2353] lr: 4.207e-03, eta: 11:21:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 1.8720, loss: 1.8720 +2025-06-04 09:02:39,647 - pyskl - INFO - Epoch [110][1600/2353] lr: 4.198e-03, eta: 11:20:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9938, loss_cls: 1.9255, loss: 1.9255 +2025-06-04 09:03:22,754 - pyskl - INFO - Epoch [110][1700/2353] lr: 4.190e-03, eta: 11:20:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9944, loss_cls: 1.8542, loss: 1.8542 +2025-06-04 09:04:05,866 - pyskl - INFO - Epoch [110][1800/2353] lr: 4.182e-03, eta: 11:19:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 1.8591, loss: 1.8591 +2025-06-04 09:04:49,058 - pyskl - INFO - Epoch [110][1900/2353] lr: 4.173e-03, eta: 11:18:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 1.9662, loss: 1.9662 +2025-06-04 09:05:32,182 - pyskl - INFO - Epoch [110][2000/2353] lr: 4.165e-03, eta: 11:18:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9925, loss_cls: 1.9368, loss: 1.9368 +2025-06-04 09:06:15,292 - pyskl - INFO - Epoch [110][2100/2353] lr: 4.157e-03, eta: 11:17:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 1.8897, loss: 1.8897 +2025-06-04 09:06:58,534 - pyskl - INFO - Epoch [110][2200/2353] lr: 4.149e-03, eta: 11:16:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 1.9303, loss: 1.9303 +2025-06-04 09:07:41,811 - pyskl - INFO - Epoch [110][2300/2353] lr: 4.140e-03, eta: 11:15:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 1.9251, loss: 1.9251 +2025-06-04 09:08:05,350 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-06-04 09:17:00,982 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 09:17:01,057 - pyskl - INFO - +top1_acc 0.9354 +top5_acc 0.9932 +2025-06-04 09:17:01,060 - pyskl - INFO - Epoch(val) [110][1184] top1_acc: 0.9354, top5_acc: 0.9932 +2025-06-04 09:18:04,843 - pyskl - INFO - Epoch [111][100/2353] lr: 4.128e-03, eta: 11:14:45, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 1.8416, loss: 1.8416 +2025-06-04 09:18:48,037 - pyskl - INFO - Epoch [111][200/2353] lr: 4.119e-03, eta: 11:14:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 1.7986, loss: 1.7986 +2025-06-04 09:19:31,084 - pyskl - INFO - Epoch [111][300/2353] lr: 4.111e-03, eta: 11:13:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 1.8463, loss: 1.8463 +2025-06-04 09:20:13,869 - pyskl - INFO - Epoch [111][400/2353] lr: 4.103e-03, eta: 11:12:35, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 1.8901, loss: 1.8901 +2025-06-04 09:20:56,792 - pyskl - INFO - Epoch [111][500/2353] lr: 4.095e-03, eta: 11:11:52, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 1.8790, loss: 1.8790 +2025-06-04 09:21:40,059 - pyskl - INFO - Epoch [111][600/2353] lr: 4.086e-03, eta: 11:11:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 1.8766, loss: 1.8766 +2025-06-04 09:22:23,331 - pyskl - INFO - Epoch [111][700/2353] lr: 4.078e-03, eta: 11:10:26, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 1.8151, loss: 1.8151 +2025-06-04 09:23:06,743 - pyskl - INFO - Epoch [111][800/2353] lr: 4.070e-03, eta: 11:09:43, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 1.8010, loss: 1.8010 +2025-06-04 09:23:50,123 - pyskl - INFO - Epoch [111][900/2353] lr: 4.062e-03, eta: 11:09:00, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 1.8355, loss: 1.8355 +2025-06-04 09:24:33,362 - pyskl - INFO - Epoch [111][1000/2353] lr: 4.054e-03, eta: 11:08:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9956, loss_cls: 1.9403, loss: 1.9403 +2025-06-04 09:25:16,490 - pyskl - INFO - Epoch [111][1100/2353] lr: 4.045e-03, eta: 11:07:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9944, loss_cls: 1.8549, loss: 1.8549 +2025-06-04 09:25:59,800 - pyskl - INFO - Epoch [111][1200/2353] lr: 4.037e-03, eta: 11:06:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 1.8242, loss: 1.8242 +2025-06-04 09:26:43,031 - pyskl - INFO - Epoch [111][1300/2353] lr: 4.029e-03, eta: 11:06:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 1.8506, loss: 1.8506 +2025-06-04 09:27:26,330 - pyskl - INFO - Epoch [111][1400/2353] lr: 4.021e-03, eta: 11:05:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 1.8413, loss: 1.8413 +2025-06-04 09:28:09,515 - pyskl - INFO - Epoch [111][1500/2353] lr: 4.013e-03, eta: 11:04:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 1.8737, loss: 1.8737 +2025-06-04 09:28:52,652 - pyskl - INFO - Epoch [111][1600/2353] lr: 4.005e-03, eta: 11:03:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 1.9126, loss: 1.9126 +2025-06-04 09:29:35,832 - pyskl - INFO - Epoch [111][1700/2353] lr: 3.996e-03, eta: 11:03:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 1.9075, loss: 1.9075 +2025-06-04 09:30:19,069 - pyskl - INFO - Epoch [111][1800/2353] lr: 3.988e-03, eta: 11:02:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 1.9071, loss: 1.9071 +2025-06-04 09:31:02,254 - pyskl - INFO - Epoch [111][1900/2353] lr: 3.980e-03, eta: 11:01:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 1.8421, loss: 1.8421 +2025-06-04 09:31:45,469 - pyskl - INFO - Epoch [111][2000/2353] lr: 3.972e-03, eta: 11:01:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.8737, loss: 1.8737 +2025-06-04 09:32:28,696 - pyskl - INFO - Epoch [111][2100/2353] lr: 3.964e-03, eta: 11:00:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 1.8387, loss: 1.8387 +2025-06-04 09:33:11,896 - pyskl - INFO - Epoch [111][2200/2353] lr: 3.956e-03, eta: 10:59:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 1.8551, loss: 1.8551 +2025-06-04 09:33:55,002 - pyskl - INFO - Epoch [111][2300/2353] lr: 3.948e-03, eta: 10:58:58, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 1.8142, loss: 1.8142 +2025-06-04 09:34:18,433 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-06-04 09:35:43,811 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 09:35:43,887 - pyskl - INFO - +top1_acc 0.9451 +top5_acc 0.9946 +2025-06-04 09:35:43,943 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_104.pth was removed +2025-06-04 09:35:45,014 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2025-06-04 09:35:45,015 - pyskl - INFO - Best top1_acc is 0.9451 at 111 epoch. +2025-06-04 09:35:45,018 - pyskl - INFO - Epoch(val) [111][1184] top1_acc: 0.9451, top5_acc: 0.9946 +2025-06-04 09:36:49,240 - pyskl - INFO - Epoch [112][100/2353] lr: 3.935e-03, eta: 10:57:52, time: 0.642, data_time: 0.208, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9956, loss_cls: 1.8793, loss: 1.8793 +2025-06-04 09:37:32,572 - pyskl - INFO - Epoch [112][200/2353] lr: 3.927e-03, eta: 10:57:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 1.7810, loss: 1.7810 +2025-06-04 09:38:15,822 - pyskl - INFO - Epoch [112][300/2353] lr: 3.919e-03, eta: 10:56:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 1.7989, loss: 1.7989 +2025-06-04 09:38:58,948 - pyskl - INFO - Epoch [112][400/2353] lr: 3.911e-03, eta: 10:55:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9956, loss_cls: 1.8160, loss: 1.8160 +2025-06-04 09:39:42,136 - pyskl - INFO - Epoch [112][500/2353] lr: 3.903e-03, eta: 10:55:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 1.7413, loss: 1.7413 +2025-06-04 09:40:25,355 - pyskl - INFO - Epoch [112][600/2353] lr: 3.895e-03, eta: 10:54:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9944, loss_cls: 1.7951, loss: 1.7951 +2025-06-04 09:41:08,595 - pyskl - INFO - Epoch [112][700/2353] lr: 3.887e-03, eta: 10:53:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 1.8313, loss: 1.8313 +2025-06-04 09:41:51,879 - pyskl - INFO - Epoch [112][800/2353] lr: 3.879e-03, eta: 10:52:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 1.8149, loss: 1.8149 +2025-06-04 09:42:35,059 - pyskl - INFO - Epoch [112][900/2353] lr: 3.871e-03, eta: 10:52:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 1.7804, loss: 1.7804 +2025-06-04 09:43:18,174 - pyskl - INFO - Epoch [112][1000/2353] lr: 3.862e-03, eta: 10:51:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 1.8237, loss: 1.8237 +2025-06-04 09:44:01,223 - pyskl - INFO - Epoch [112][1100/2353] lr: 3.854e-03, eta: 10:50:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 1.8866, loss: 1.8866 +2025-06-04 09:44:44,266 - pyskl - INFO - Epoch [112][1200/2353] lr: 3.846e-03, eta: 10:49:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 1.8328, loss: 1.8328 +2025-06-04 09:45:27,377 - pyskl - INFO - Epoch [112][1300/2353] lr: 3.838e-03, eta: 10:49:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 1.8451, loss: 1.8451 +2025-06-04 09:46:10,535 - pyskl - INFO - Epoch [112][1400/2353] lr: 3.830e-03, eta: 10:48:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 1.8047, loss: 1.8047 +2025-06-04 09:46:53,666 - pyskl - INFO - Epoch [112][1500/2353] lr: 3.822e-03, eta: 10:47:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 1.8261, loss: 1.8261 +2025-06-04 09:47:36,760 - pyskl - INFO - Epoch [112][1600/2353] lr: 3.814e-03, eta: 10:47:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 1.8407, loss: 1.8407 +2025-06-04 09:48:19,859 - pyskl - INFO - Epoch [112][1700/2353] lr: 3.806e-03, eta: 10:46:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 1.8237, loss: 1.8237 +2025-06-04 09:49:02,906 - pyskl - INFO - Epoch [112][1800/2353] lr: 3.798e-03, eta: 10:45:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 1.8660, loss: 1.8660 +2025-06-04 09:49:45,949 - pyskl - INFO - Epoch [112][1900/2353] lr: 3.790e-03, eta: 10:44:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 1.8049, loss: 1.8049 +2025-06-04 09:50:29,003 - pyskl - INFO - Epoch [112][2000/2353] lr: 3.782e-03, eta: 10:44:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 1.8019, loss: 1.8019 +2025-06-04 09:51:11,992 - pyskl - INFO - Epoch [112][2100/2353] lr: 3.774e-03, eta: 10:43:31, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 1.9388, loss: 1.9388 +2025-06-04 09:51:55,074 - pyskl - INFO - Epoch [112][2200/2353] lr: 3.766e-03, eta: 10:42:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 1.9797, loss: 1.9797 +2025-06-04 09:52:38,195 - pyskl - INFO - Epoch [112][2300/2353] lr: 3.759e-03, eta: 10:42:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 1.8964, loss: 1.8964 +2025-06-04 09:53:01,663 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-06-04 09:54:26,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 09:54:27,050 - pyskl - INFO - +top1_acc 0.9330 +top5_acc 0.9939 +2025-06-04 09:54:27,054 - pyskl - INFO - Epoch(val) [112][1184] top1_acc: 0.9330, top5_acc: 0.9939 +2025-06-04 09:55:30,914 - pyskl - INFO - Epoch [113][100/2353] lr: 3.746e-03, eta: 10:40:58, time: 0.639, data_time: 0.207, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 1.7145, loss: 1.7145 +2025-06-04 09:56:14,049 - pyskl - INFO - Epoch [113][200/2353] lr: 3.738e-03, eta: 10:40:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 1.8180, loss: 1.8180 +2025-06-04 09:56:57,138 - pyskl - INFO - Epoch [113][300/2353] lr: 3.730e-03, eta: 10:39:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 1.8224, loss: 1.8224 +2025-06-04 09:57:40,169 - pyskl - INFO - Epoch [113][400/2353] lr: 3.723e-03, eta: 10:38:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 1.8219, loss: 1.8219 +2025-06-04 09:58:23,344 - pyskl - INFO - Epoch [113][500/2353] lr: 3.715e-03, eta: 10:38:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 1.8535, loss: 1.8535 +2025-06-04 09:59:06,509 - pyskl - INFO - Epoch [113][600/2353] lr: 3.707e-03, eta: 10:37:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 1.7985, loss: 1.7985 +2025-06-04 09:59:49,629 - pyskl - INFO - Epoch [113][700/2353] lr: 3.699e-03, eta: 10:36:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 1.7609, loss: 1.7609 +2025-06-04 10:00:32,968 - pyskl - INFO - Epoch [113][800/2353] lr: 3.691e-03, eta: 10:35:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 1.7711, loss: 1.7711 +2025-06-04 10:01:16,292 - pyskl - INFO - Epoch [113][900/2353] lr: 3.683e-03, eta: 10:35:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 1.8008, loss: 1.8008 +2025-06-04 10:01:59,402 - pyskl - INFO - Epoch [113][1000/2353] lr: 3.675e-03, eta: 10:34:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 1.7803, loss: 1.7803 +2025-06-04 10:02:42,522 - pyskl - INFO - Epoch [113][1100/2353] lr: 3.667e-03, eta: 10:33:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 1.7962, loss: 1.7962 +2025-06-04 10:03:25,586 - pyskl - INFO - Epoch [113][1200/2353] lr: 3.659e-03, eta: 10:33:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 1.7819, loss: 1.7819 +2025-06-04 10:04:08,679 - pyskl - INFO - Epoch [113][1300/2353] lr: 3.652e-03, eta: 10:32:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 1.8398, loss: 1.8398 +2025-06-04 10:04:51,833 - pyskl - INFO - Epoch [113][1400/2353] lr: 3.644e-03, eta: 10:31:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 1.7843, loss: 1.7843 +2025-06-04 10:05:35,164 - pyskl - INFO - Epoch [113][1500/2353] lr: 3.636e-03, eta: 10:30:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 1.8443, loss: 1.8443 +2025-06-04 10:06:18,207 - pyskl - INFO - Epoch [113][1600/2353] lr: 3.628e-03, eta: 10:30:13, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 1.8604, loss: 1.8604 +2025-06-04 10:07:01,304 - pyskl - INFO - Epoch [113][1700/2353] lr: 3.620e-03, eta: 10:29:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 1.8369, loss: 1.8369 +2025-06-04 10:07:44,407 - pyskl - INFO - Epoch [113][1800/2353] lr: 3.612e-03, eta: 10:28:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 1.8510, loss: 1.8510 +2025-06-04 10:08:27,464 - pyskl - INFO - Epoch [113][1900/2353] lr: 3.605e-03, eta: 10:28:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 1.8314, loss: 1.8314 +2025-06-04 10:09:10,563 - pyskl - INFO - Epoch [113][2000/2353] lr: 3.597e-03, eta: 10:27:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9544, top5_acc: 0.9950, loss_cls: 1.8654, loss: 1.8654 +2025-06-04 10:09:53,683 - pyskl - INFO - Epoch [113][2100/2353] lr: 3.589e-03, eta: 10:26:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 1.8122, loss: 1.8122 +2025-06-04 10:10:36,834 - pyskl - INFO - Epoch [113][2200/2353] lr: 3.581e-03, eta: 10:25:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9938, loss_cls: 1.8894, loss: 1.8894 +2025-06-04 10:11:20,032 - pyskl - INFO - Epoch [113][2300/2353] lr: 3.573e-03, eta: 10:25:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 1.8587, loss: 1.8587 +2025-06-04 10:11:43,520 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-06-04 10:13:09,196 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 10:13:09,272 - pyskl - INFO - +top1_acc 0.9452 +top5_acc 0.9959 +2025-06-04 10:13:09,337 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_111.pth was removed +2025-06-04 10:13:10,413 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. +2025-06-04 10:13:10,414 - pyskl - INFO - Best top1_acc is 0.9452 at 113 epoch. +2025-06-04 10:13:10,417 - pyskl - INFO - Epoch(val) [113][1184] top1_acc: 0.9452, top5_acc: 0.9959 +2025-06-04 10:14:14,672 - pyskl - INFO - Epoch [114][100/2353] lr: 3.561e-03, eta: 10:24:05, time: 0.643, data_time: 0.212, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 1.8509, loss: 1.8509 +2025-06-04 10:14:57,841 - pyskl - INFO - Epoch [114][200/2353] lr: 3.554e-03, eta: 10:23:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.7744, loss: 1.7744 +2025-06-04 10:15:40,900 - pyskl - INFO - Epoch [114][300/2353] lr: 3.546e-03, eta: 10:22:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 1.7675, loss: 1.7675 +2025-06-04 10:16:23,982 - pyskl - INFO - Epoch [114][400/2353] lr: 3.538e-03, eta: 10:21:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 1.7731, loss: 1.7731 +2025-06-04 10:17:07,060 - pyskl - INFO - Epoch [114][500/2353] lr: 3.530e-03, eta: 10:21:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 1.6992, loss: 1.6992 +2025-06-04 10:17:50,360 - pyskl - INFO - Epoch [114][600/2353] lr: 3.523e-03, eta: 10:20:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 1.7572, loss: 1.7572 +2025-06-04 10:18:33,636 - pyskl - INFO - Epoch [114][700/2353] lr: 3.515e-03, eta: 10:19:47, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 1.7267, loss: 1.7267 +2025-06-04 10:19:17,084 - pyskl - INFO - Epoch [114][800/2353] lr: 3.507e-03, eta: 10:19:04, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 1.9237, loss: 1.9237 +2025-06-04 10:20:00,359 - pyskl - INFO - Epoch [114][900/2353] lr: 3.499e-03, eta: 10:18:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.7043, loss: 1.7043 +2025-06-04 10:20:43,565 - pyskl - INFO - Epoch [114][1000/2353] lr: 3.492e-03, eta: 10:17:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 1.7487, loss: 1.7487 +2025-06-04 10:21:26,689 - pyskl - INFO - Epoch [114][1100/2353] lr: 3.484e-03, eta: 10:16:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 1.8564, loss: 1.8564 +2025-06-04 10:22:09,788 - pyskl - INFO - Epoch [114][1200/2353] lr: 3.476e-03, eta: 10:16:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 1.7403, loss: 1.7403 +2025-06-04 10:22:52,889 - pyskl - INFO - Epoch [114][1300/2353] lr: 3.469e-03, eta: 10:15:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 1.7964, loss: 1.7964 +2025-06-04 10:23:36,053 - pyskl - INFO - Epoch [114][1400/2353] lr: 3.461e-03, eta: 10:14:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 1.7730, loss: 1.7730 +2025-06-04 10:24:19,123 - pyskl - INFO - Epoch [114][1500/2353] lr: 3.453e-03, eta: 10:14:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 1.7724, loss: 1.7724 +2025-06-04 10:25:02,189 - pyskl - INFO - Epoch [114][1600/2353] lr: 3.446e-03, eta: 10:13:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 1.7872, loss: 1.7872 +2025-06-04 10:25:45,382 - pyskl - INFO - Epoch [114][1700/2353] lr: 3.438e-03, eta: 10:12:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 1.7701, loss: 1.7701 +2025-06-04 10:26:28,443 - pyskl - INFO - Epoch [114][1800/2353] lr: 3.430e-03, eta: 10:11:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 1.8255, loss: 1.8255 +2025-06-04 10:27:11,584 - pyskl - INFO - Epoch [114][1900/2353] lr: 3.423e-03, eta: 10:11:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 1.8020, loss: 1.8020 +2025-06-04 10:27:54,560 - pyskl - INFO - Epoch [114][2000/2353] lr: 3.415e-03, eta: 10:10:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 1.7677, loss: 1.7677 +2025-06-04 10:28:37,523 - pyskl - INFO - Epoch [114][2100/2353] lr: 3.407e-03, eta: 10:09:45, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 1.8553, loss: 1.8553 +2025-06-04 10:29:20,499 - pyskl - INFO - Epoch [114][2200/2353] lr: 3.400e-03, eta: 10:09:01, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 1.7812, loss: 1.7812 +2025-06-04 10:30:03,664 - pyskl - INFO - Epoch [114][2300/2353] lr: 3.392e-03, eta: 10:08:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 1.8375, loss: 1.8375 +2025-06-04 10:30:27,095 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-06-04 10:31:52,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 10:31:52,575 - pyskl - INFO - +top1_acc 0.9519 +top5_acc 0.9954 +2025-06-04 10:31:52,640 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_113.pth was removed +2025-06-04 10:31:53,723 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2025-06-04 10:31:53,724 - pyskl - INFO - Best top1_acc is 0.9519 at 114 epoch. +2025-06-04 10:31:53,727 - pyskl - INFO - Epoch(val) [114][1184] top1_acc: 0.9519, top5_acc: 0.9954 +2025-06-04 10:32:57,827 - pyskl - INFO - Epoch [115][100/2353] lr: 3.380e-03, eta: 10:07:12, time: 0.641, data_time: 0.210, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 1.7364, loss: 1.7364 +2025-06-04 10:33:40,925 - pyskl - INFO - Epoch [115][200/2353] lr: 3.373e-03, eta: 10:06:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 1.6877, loss: 1.6877 +2025-06-04 10:34:24,037 - pyskl - INFO - Epoch [115][300/2353] lr: 3.365e-03, eta: 10:05:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 1.7686, loss: 1.7686 +2025-06-04 10:35:07,116 - pyskl - INFO - Epoch [115][400/2353] lr: 3.358e-03, eta: 10:05:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 1.7329, loss: 1.7329 +2025-06-04 10:35:50,409 - pyskl - INFO - Epoch [115][500/2353] lr: 3.350e-03, eta: 10:04:20, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 1.7562, loss: 1.7562 +2025-06-04 10:36:33,683 - pyskl - INFO - Epoch [115][600/2353] lr: 3.342e-03, eta: 10:03:37, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 0.9962, loss_cls: 1.7586, loss: 1.7586 +2025-06-04 10:37:16,908 - pyskl - INFO - Epoch [115][700/2353] lr: 3.335e-03, eta: 10:02:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 1.7295, loss: 1.7295 +2025-06-04 10:38:00,118 - pyskl - INFO - Epoch [115][800/2353] lr: 3.327e-03, eta: 10:02:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 1.6957, loss: 1.6957 +2025-06-04 10:38:43,326 - pyskl - INFO - Epoch [115][900/2353] lr: 3.320e-03, eta: 10:01:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.7461, loss: 1.7461 +2025-06-04 10:39:26,592 - pyskl - INFO - Epoch [115][1000/2353] lr: 3.312e-03, eta: 10:00:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9956, loss_cls: 1.7778, loss: 1.7778 +2025-06-04 10:40:09,744 - pyskl - INFO - Epoch [115][1100/2353] lr: 3.305e-03, eta: 10:00:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 1.7051, loss: 1.7051 +2025-06-04 10:40:52,926 - pyskl - INFO - Epoch [115][1200/2353] lr: 3.297e-03, eta: 9:59:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 1.7421, loss: 1.7421 +2025-06-04 10:41:36,026 - pyskl - INFO - Epoch [115][1300/2353] lr: 3.290e-03, eta: 9:58:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 1.7462, loss: 1.7462 +2025-06-04 10:42:19,193 - pyskl - INFO - Epoch [115][1400/2353] lr: 3.282e-03, eta: 9:57:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9962, loss_cls: 1.7840, loss: 1.7840 +2025-06-04 10:43:02,328 - pyskl - INFO - Epoch [115][1500/2353] lr: 3.275e-03, eta: 9:57:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 1.7425, loss: 1.7425 +2025-06-04 10:43:45,411 - pyskl - INFO - Epoch [115][1600/2353] lr: 3.267e-03, eta: 9:56:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 1.7186, loss: 1.7186 +2025-06-04 10:44:28,576 - pyskl - INFO - Epoch [115][1700/2353] lr: 3.260e-03, eta: 9:55:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 1.7795, loss: 1.7795 +2025-06-04 10:45:11,653 - pyskl - INFO - Epoch [115][1800/2353] lr: 3.252e-03, eta: 9:55:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 1.7301, loss: 1.7301 +2025-06-04 10:45:54,892 - pyskl - INFO - Epoch [115][1900/2353] lr: 3.245e-03, eta: 9:54:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 1.7657, loss: 1.7657 +2025-06-04 10:46:37,998 - pyskl - INFO - Epoch [115][2000/2353] lr: 3.237e-03, eta: 9:53:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 1.7986, loss: 1.7986 +2025-06-04 10:47:21,059 - pyskl - INFO - Epoch [115][2100/2353] lr: 3.230e-03, eta: 9:52:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 1.7910, loss: 1.7910 +2025-06-04 10:48:04,103 - pyskl - INFO - Epoch [115][2200/2353] lr: 3.222e-03, eta: 9:52:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 1.8549, loss: 1.8549 +2025-06-04 10:48:47,226 - pyskl - INFO - Epoch [115][2300/2353] lr: 3.215e-03, eta: 9:51:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.7377, loss: 1.7377 +2025-06-04 10:49:10,549 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-06-04 10:58:34,049 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 10:58:34,125 - pyskl - INFO - +top1_acc 0.9224 +top5_acc 0.9909 +2025-06-04 10:58:34,128 - pyskl - INFO - Epoch(val) [115][1184] top1_acc: 0.9224, top5_acc: 0.9909 +2025-06-04 10:59:38,378 - pyskl - INFO - Epoch [116][100/2353] lr: 3.203e-03, eta: 9:50:19, time: 0.642, data_time: 0.208, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 1.7467, loss: 1.7467 +2025-06-04 11:00:21,648 - pyskl - INFO - Epoch [116][200/2353] lr: 3.196e-03, eta: 9:49:36, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 1.7222, loss: 1.7222 +2025-06-04 11:01:04,927 - pyskl - INFO - Epoch [116][300/2353] lr: 3.188e-03, eta: 9:48:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.7351, loss: 1.7351 +2025-06-04 11:01:48,024 - pyskl - INFO - Epoch [116][400/2353] lr: 3.181e-03, eta: 9:48:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 1.7231, loss: 1.7231 +2025-06-04 11:02:31,175 - pyskl - INFO - Epoch [116][500/2353] lr: 3.174e-03, eta: 9:47:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.6739, loss: 1.6739 +2025-06-04 11:03:14,395 - pyskl - INFO - Epoch [116][600/2353] lr: 3.166e-03, eta: 9:46:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 1.7794, loss: 1.7794 +2025-06-04 11:03:57,645 - pyskl - INFO - Epoch [116][700/2353] lr: 3.159e-03, eta: 9:46:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 1.7634, loss: 1.7634 +2025-06-04 11:04:41,008 - pyskl - INFO - Epoch [116][800/2353] lr: 3.151e-03, eta: 9:45:18, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 1.7175, loss: 1.7175 +2025-06-04 11:05:24,317 - pyskl - INFO - Epoch [116][900/2353] lr: 3.144e-03, eta: 9:44:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 1.7104, loss: 1.7104 +2025-06-04 11:06:07,550 - pyskl - INFO - Epoch [116][1000/2353] lr: 3.137e-03, eta: 9:43:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 1.7467, loss: 1.7467 +2025-06-04 11:06:50,794 - pyskl - INFO - Epoch [116][1100/2353] lr: 3.129e-03, eta: 9:43:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 1.7491, loss: 1.7491 +2025-06-04 11:07:34,034 - pyskl - INFO - Epoch [116][1200/2353] lr: 3.122e-03, eta: 9:42:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.7798, loss: 1.7798 +2025-06-04 11:08:17,199 - pyskl - INFO - Epoch [116][1300/2353] lr: 3.115e-03, eta: 9:41:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 1.7461, loss: 1.7461 +2025-06-04 11:09:00,418 - pyskl - INFO - Epoch [116][1400/2353] lr: 3.107e-03, eta: 9:41:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 1.7351, loss: 1.7351 +2025-06-04 11:09:43,815 - pyskl - INFO - Epoch [116][1500/2353] lr: 3.100e-03, eta: 9:40:17, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 1.7464, loss: 1.7464 +2025-06-04 11:10:27,073 - pyskl - INFO - Epoch [116][1600/2353] lr: 3.093e-03, eta: 9:39:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 1.7199, loss: 1.7199 +2025-06-04 11:11:10,391 - pyskl - INFO - Epoch [116][1700/2353] lr: 3.085e-03, eta: 9:38:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 1.7245, loss: 1.7245 +2025-06-04 11:11:53,741 - pyskl - INFO - Epoch [116][1800/2353] lr: 3.078e-03, eta: 9:38:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 1.7136, loss: 1.7136 +2025-06-04 11:12:37,088 - pyskl - INFO - Epoch [116][1900/2353] lr: 3.071e-03, eta: 9:37:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 1.6742, loss: 1.6742 +2025-06-04 11:13:20,426 - pyskl - INFO - Epoch [116][2000/2353] lr: 3.063e-03, eta: 9:36:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 1.7217, loss: 1.7217 +2025-06-04 11:14:03,742 - pyskl - INFO - Epoch [116][2100/2353] lr: 3.056e-03, eta: 9:35:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 1.7815, loss: 1.7815 +2025-06-04 11:14:47,027 - pyskl - INFO - Epoch [116][2200/2353] lr: 3.049e-03, eta: 9:35:16, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 1.7606, loss: 1.7606 +2025-06-04 11:15:30,364 - pyskl - INFO - Epoch [116][2300/2353] lr: 3.041e-03, eta: 9:34:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 1.7487, loss: 1.7487 +2025-06-04 11:15:53,815 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-06-04 11:17:19,369 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 11:17:19,445 - pyskl - INFO - +top1_acc 0.9493 +top5_acc 0.9950 +2025-06-04 11:17:19,449 - pyskl - INFO - Epoch(val) [116][1184] top1_acc: 0.9493, top5_acc: 0.9950 +2025-06-04 11:18:23,604 - pyskl - INFO - Epoch [117][100/2353] lr: 3.030e-03, eta: 9:33:27, time: 0.641, data_time: 0.207, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.6979, loss: 1.6979 +2025-06-04 11:19:07,111 - pyskl - INFO - Epoch [117][200/2353] lr: 3.023e-03, eta: 9:32:44, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 1.7032, loss: 1.7032 +2025-06-04 11:19:50,415 - pyskl - INFO - Epoch [117][300/2353] lr: 3.016e-03, eta: 9:32:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.6958, loss: 1.6958 +2025-06-04 11:20:33,641 - pyskl - INFO - Epoch [117][400/2353] lr: 3.009e-03, eta: 9:31:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 1.6334, loss: 1.6334 +2025-06-04 11:21:16,826 - pyskl - INFO - Epoch [117][500/2353] lr: 3.001e-03, eta: 9:30:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.6761, loss: 1.6761 +2025-06-04 11:22:00,204 - pyskl - INFO - Epoch [117][600/2353] lr: 2.994e-03, eta: 9:29:52, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.6777, loss: 1.6777 +2025-06-04 11:22:43,640 - pyskl - INFO - Epoch [117][700/2353] lr: 2.987e-03, eta: 9:29:09, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.7585, loss: 1.7585 +2025-06-04 11:23:27,032 - pyskl - INFO - Epoch [117][800/2353] lr: 2.980e-03, eta: 9:28:26, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 1.7422, loss: 1.7422 +2025-06-04 11:24:10,140 - pyskl - INFO - Epoch [117][900/2353] lr: 2.973e-03, eta: 9:27:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 1.6653, loss: 1.6653 +2025-06-04 11:24:53,236 - pyskl - INFO - Epoch [117][1000/2353] lr: 2.965e-03, eta: 9:27:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 1.6948, loss: 1.6948 +2025-06-04 11:25:36,467 - pyskl - INFO - Epoch [117][1100/2353] lr: 2.958e-03, eta: 9:26:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9956, loss_cls: 1.7835, loss: 1.7835 +2025-06-04 11:26:19,605 - pyskl - INFO - Epoch [117][1200/2353] lr: 2.951e-03, eta: 9:25:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 1.6714, loss: 1.6714 +2025-06-04 11:27:02,635 - pyskl - INFO - Epoch [117][1300/2353] lr: 2.944e-03, eta: 9:24:50, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.6457, loss: 1.6457 +2025-06-04 11:27:45,990 - pyskl - INFO - Epoch [117][1400/2353] lr: 2.937e-03, eta: 9:24:07, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 1.6958, loss: 1.6958 +2025-06-04 11:28:29,132 - pyskl - INFO - Epoch [117][1500/2353] lr: 2.929e-03, eta: 9:23:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 1.7027, loss: 1.7027 +2025-06-04 11:29:12,351 - pyskl - INFO - Epoch [117][1600/2353] lr: 2.922e-03, eta: 9:22:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 1.6693, loss: 1.6693 +2025-06-04 11:29:55,565 - pyskl - INFO - Epoch [117][1700/2353] lr: 2.915e-03, eta: 9:21:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 1.7828, loss: 1.7828 +2025-06-04 11:30:38,960 - pyskl - INFO - Epoch [117][1800/2353] lr: 2.908e-03, eta: 9:21:15, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 1.7276, loss: 1.7276 +2025-06-04 11:31:22,336 - pyskl - INFO - Epoch [117][1900/2353] lr: 2.901e-03, eta: 9:20:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9962, loss_cls: 1.6486, loss: 1.6486 +2025-06-04 11:32:05,795 - pyskl - INFO - Epoch [117][2000/2353] lr: 2.894e-03, eta: 9:19:50, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 1.6877, loss: 1.6877 +2025-06-04 11:32:49,094 - pyskl - INFO - Epoch [117][2100/2353] lr: 2.887e-03, eta: 9:19:07, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9956, loss_cls: 1.7176, loss: 1.7176 +2025-06-04 11:33:32,415 - pyskl - INFO - Epoch [117][2200/2353] lr: 2.880e-03, eta: 9:18:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 1.6828, loss: 1.6828 +2025-06-04 11:34:15,728 - pyskl - INFO - Epoch [117][2300/2353] lr: 2.872e-03, eta: 9:17:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.7020, loss: 1.7020 +2025-06-04 11:34:39,239 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-06-04 11:36:05,027 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 11:36:05,104 - pyskl - INFO - +top1_acc 0.9396 +top5_acc 0.9936 +2025-06-04 11:36:05,108 - pyskl - INFO - Epoch(val) [117][1184] top1_acc: 0.9396, top5_acc: 0.9936 +2025-06-04 11:37:09,012 - pyskl - INFO - Epoch [118][100/2353] lr: 2.862e-03, eta: 9:16:34, time: 0.639, data_time: 0.208, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.6942, loss: 1.6942 +2025-06-04 11:37:52,152 - pyskl - INFO - Epoch [118][200/2353] lr: 2.854e-03, eta: 9:15:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 1.6514, loss: 1.6514 +2025-06-04 11:38:35,247 - pyskl - INFO - Epoch [118][300/2353] lr: 2.847e-03, eta: 9:15:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 1.6787, loss: 1.6787 +2025-06-04 11:39:18,318 - pyskl - INFO - Epoch [118][400/2353] lr: 2.840e-03, eta: 9:14:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 1.6605, loss: 1.6605 +2025-06-04 11:40:01,371 - pyskl - INFO - Epoch [118][500/2353] lr: 2.833e-03, eta: 9:13:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 1.5619, loss: 1.5619 +2025-06-04 11:40:44,718 - pyskl - INFO - Epoch [118][600/2353] lr: 2.826e-03, eta: 9:12:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 1.6545, loss: 1.6545 +2025-06-04 11:41:27,934 - pyskl - INFO - Epoch [118][700/2353] lr: 2.819e-03, eta: 9:12:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.7060, loss: 1.7060 +2025-06-04 11:42:11,159 - pyskl - INFO - Epoch [118][800/2353] lr: 2.812e-03, eta: 9:11:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 1.6626, loss: 1.6626 +2025-06-04 11:42:54,322 - pyskl - INFO - Epoch [118][900/2353] lr: 2.805e-03, eta: 9:10:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 1.7419, loss: 1.7419 +2025-06-04 11:43:37,482 - pyskl - INFO - Epoch [118][1000/2353] lr: 2.798e-03, eta: 9:10:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 1.6161, loss: 1.6161 +2025-06-04 11:44:20,628 - pyskl - INFO - Epoch [118][1100/2353] lr: 2.791e-03, eta: 9:09:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 1.6879, loss: 1.6879 +2025-06-04 11:45:03,802 - pyskl - INFO - Epoch [118][1200/2353] lr: 2.784e-03, eta: 9:08:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9962, loss_cls: 1.6653, loss: 1.6653 +2025-06-04 11:45:46,806 - pyskl - INFO - Epoch [118][1300/2353] lr: 2.777e-03, eta: 9:07:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.6267, loss: 1.6267 +2025-06-04 11:46:29,854 - pyskl - INFO - Epoch [118][1400/2353] lr: 2.770e-03, eta: 9:07:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 1.6742, loss: 1.6742 +2025-06-04 11:47:12,483 - pyskl - INFO - Epoch [118][1500/2353] lr: 2.763e-03, eta: 9:06:31, time: 0.426, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 1.7066, loss: 1.7066 +2025-06-04 11:47:55,498 - pyskl - INFO - Epoch [118][1600/2353] lr: 2.756e-03, eta: 9:05:48, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 1.6353, loss: 1.6353 +2025-06-04 11:48:38,598 - pyskl - INFO - Epoch [118][1700/2353] lr: 2.749e-03, eta: 9:05:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9956, loss_cls: 1.7581, loss: 1.7581 +2025-06-04 11:49:21,699 - pyskl - INFO - Epoch [118][1800/2353] lr: 2.742e-03, eta: 9:04:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 1.6807, loss: 1.6807 +2025-06-04 11:50:04,944 - pyskl - INFO - Epoch [118][1900/2353] lr: 2.735e-03, eta: 9:03:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 1.6990, loss: 1.6990 +2025-06-04 11:50:47,994 - pyskl - INFO - Epoch [118][2000/2353] lr: 2.728e-03, eta: 9:02:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.6526, loss: 1.6526 +2025-06-04 11:51:31,116 - pyskl - INFO - Epoch [118][2100/2353] lr: 2.721e-03, eta: 9:02:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9694, top5_acc: 0.9956, loss_cls: 1.7428, loss: 1.7428 +2025-06-04 11:52:14,290 - pyskl - INFO - Epoch [118][2200/2353] lr: 2.714e-03, eta: 9:01:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 1.7490, loss: 1.7490 +2025-06-04 11:52:57,735 - pyskl - INFO - Epoch [118][2300/2353] lr: 2.708e-03, eta: 9:00:47, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 1.7260, loss: 1.7260 +2025-06-04 11:53:21,187 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-06-04 11:54:46,839 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 11:54:46,916 - pyskl - INFO - +top1_acc 0.9387 +top5_acc 0.9877 +2025-06-04 11:54:46,920 - pyskl - INFO - Epoch(val) [118][1184] top1_acc: 0.9387, top5_acc: 0.9877 +2025-06-04 11:55:50,760 - pyskl - INFO - Epoch [119][100/2353] lr: 2.697e-03, eta: 8:59:41, time: 0.638, data_time: 0.208, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 1.6119, loss: 1.6119 +2025-06-04 11:56:33,959 - pyskl - INFO - Epoch [119][200/2353] lr: 2.690e-03, eta: 8:58:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 1.6618, loss: 1.6618 +2025-06-04 11:57:17,170 - pyskl - INFO - Epoch [119][300/2353] lr: 2.683e-03, eta: 8:58:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9962, loss_cls: 1.6387, loss: 1.6387 +2025-06-04 11:58:00,316 - pyskl - INFO - Epoch [119][400/2353] lr: 2.676e-03, eta: 8:57:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 1.7237, loss: 1.7237 +2025-06-04 11:58:43,615 - pyskl - INFO - Epoch [119][500/2353] lr: 2.669e-03, eta: 8:56:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 1.7324, loss: 1.7324 +2025-06-04 11:59:26,947 - pyskl - INFO - Epoch [119][600/2353] lr: 2.663e-03, eta: 8:56:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.6592, loss: 1.6592 +2025-06-04 12:00:10,157 - pyskl - INFO - Epoch [119][700/2353] lr: 2.656e-03, eta: 8:55:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.6255, loss: 1.6255 +2025-06-04 12:00:53,320 - pyskl - INFO - Epoch [119][800/2353] lr: 2.649e-03, eta: 8:54:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.6602, loss: 1.6602 +2025-06-04 12:01:36,343 - pyskl - INFO - Epoch [119][900/2353] lr: 2.642e-03, eta: 8:53:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 1.6040, loss: 1.6040 +2025-06-04 12:02:19,459 - pyskl - INFO - Epoch [119][1000/2353] lr: 2.635e-03, eta: 8:53:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.6911, loss: 1.6911 +2025-06-04 12:03:02,513 - pyskl - INFO - Epoch [119][1100/2353] lr: 2.628e-03, eta: 8:52:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 1.7019, loss: 1.7019 +2025-06-04 12:03:45,591 - pyskl - INFO - Epoch [119][1200/2353] lr: 2.622e-03, eta: 8:51:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 1.6356, loss: 1.6356 +2025-06-04 12:04:28,655 - pyskl - INFO - Epoch [119][1300/2353] lr: 2.615e-03, eta: 8:51:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 1.6511, loss: 1.6511 +2025-06-04 12:05:11,819 - pyskl - INFO - Epoch [119][1400/2353] lr: 2.608e-03, eta: 8:50:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.7221, loss: 1.7221 +2025-06-04 12:05:55,006 - pyskl - INFO - Epoch [119][1500/2353] lr: 2.601e-03, eta: 8:49:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 1.6512, loss: 1.6512 +2025-06-04 12:06:38,104 - pyskl - INFO - Epoch [119][1600/2353] lr: 2.594e-03, eta: 8:48:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 1.6900, loss: 1.6900 +2025-06-04 12:07:21,281 - pyskl - INFO - Epoch [119][1700/2353] lr: 2.588e-03, eta: 8:48:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 1.6711, loss: 1.6711 +2025-06-04 12:08:04,477 - pyskl - INFO - Epoch [119][1800/2353] lr: 2.581e-03, eta: 8:47:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 1.6601, loss: 1.6601 +2025-06-04 12:08:47,727 - pyskl - INFO - Epoch [119][1900/2353] lr: 2.574e-03, eta: 8:46:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 1.7149, loss: 1.7149 +2025-06-04 12:09:30,944 - pyskl - INFO - Epoch [119][2000/2353] lr: 2.567e-03, eta: 8:46:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 1.6652, loss: 1.6652 +2025-06-04 12:10:14,115 - pyskl - INFO - Epoch [119][2100/2353] lr: 2.560e-03, eta: 8:45:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 1.7004, loss: 1.7004 +2025-06-04 12:10:57,244 - pyskl - INFO - Epoch [119][2200/2353] lr: 2.554e-03, eta: 8:44:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 1.6756, loss: 1.6756 +2025-06-04 12:11:40,346 - pyskl - INFO - Epoch [119][2300/2353] lr: 2.547e-03, eta: 8:43:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9681, top5_acc: 0.9944, loss_cls: 1.7630, loss: 1.7630 +2025-06-04 12:12:03,819 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-06-04 12:13:29,407 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 12:13:29,483 - pyskl - INFO - +top1_acc 0.9539 +top5_acc 0.9953 +2025-06-04 12:13:29,539 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_114.pth was removed +2025-06-04 12:13:30,728 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2025-06-04 12:13:30,729 - pyskl - INFO - Best top1_acc is 0.9539 at 119 epoch. +2025-06-04 12:13:30,732 - pyskl - INFO - Epoch(val) [119][1184] top1_acc: 0.9539, top5_acc: 0.9953 +2025-06-04 12:14:35,016 - pyskl - INFO - Epoch [120][100/2353] lr: 2.537e-03, eta: 8:42:48, time: 0.643, data_time: 0.209, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 1.6043, loss: 1.6043 +2025-06-04 12:15:18,361 - pyskl - INFO - Epoch [120][200/2353] lr: 2.530e-03, eta: 8:42:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 1.6390, loss: 1.6390 +2025-06-04 12:16:01,627 - pyskl - INFO - Epoch [120][300/2353] lr: 2.523e-03, eta: 8:41:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 1.5951, loss: 1.5951 +2025-06-04 12:16:44,861 - pyskl - INFO - Epoch [120][400/2353] lr: 2.517e-03, eta: 8:40:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 1.6191, loss: 1.6191 +2025-06-04 12:17:28,024 - pyskl - INFO - Epoch [120][500/2353] lr: 2.510e-03, eta: 8:39:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.6132, loss: 1.6132 +2025-06-04 12:18:11,616 - pyskl - INFO - Epoch [120][600/2353] lr: 2.503e-03, eta: 8:39:13, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 1.5662, loss: 1.5662 +2025-06-04 12:18:55,121 - pyskl - INFO - Epoch [120][700/2353] lr: 2.497e-03, eta: 8:38:30, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.6467, loss: 1.6467 +2025-06-04 12:19:38,552 - pyskl - INFO - Epoch [120][800/2353] lr: 2.490e-03, eta: 8:37:47, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 1.6848, loss: 1.6848 +2025-06-04 12:20:21,832 - pyskl - INFO - Epoch [120][900/2353] lr: 2.483e-03, eta: 8:37:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 1.6906, loss: 1.6906 +2025-06-04 12:21:05,110 - pyskl - INFO - Epoch [120][1000/2353] lr: 2.477e-03, eta: 8:36:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.5608, loss: 1.5608 +2025-06-04 12:21:48,286 - pyskl - INFO - Epoch [120][1100/2353] lr: 2.470e-03, eta: 8:35:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 1.7444, loss: 1.7444 +2025-06-04 12:22:31,525 - pyskl - INFO - Epoch [120][1200/2353] lr: 2.463e-03, eta: 8:34:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 1.6058, loss: 1.6058 +2025-06-04 12:23:14,764 - pyskl - INFO - Epoch [120][1300/2353] lr: 2.457e-03, eta: 8:34:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 1.5891, loss: 1.5891 +2025-06-04 12:23:57,896 - pyskl - INFO - Epoch [120][1400/2353] lr: 2.450e-03, eta: 8:33:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 1.6443, loss: 1.6443 +2025-06-04 12:24:41,023 - pyskl - INFO - Epoch [120][1500/2353] lr: 2.443e-03, eta: 8:32:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.6485, loss: 1.6485 +2025-06-04 12:25:24,208 - pyskl - INFO - Epoch [120][1600/2353] lr: 2.437e-03, eta: 8:32:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9962, loss_cls: 1.6520, loss: 1.6520 +2025-06-04 12:26:07,365 - pyskl - INFO - Epoch [120][1700/2353] lr: 2.430e-03, eta: 8:31:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 1.6908, loss: 1.6908 +2025-06-04 12:26:50,523 - pyskl - INFO - Epoch [120][1800/2353] lr: 2.424e-03, eta: 8:30:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 1.6443, loss: 1.6443 +2025-06-04 12:27:33,668 - pyskl - INFO - Epoch [120][1900/2353] lr: 2.417e-03, eta: 8:29:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.6218, loss: 1.6218 +2025-06-04 12:28:16,749 - pyskl - INFO - Epoch [120][2000/2353] lr: 2.410e-03, eta: 8:29:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.5900, loss: 1.5900 +2025-06-04 12:29:00,047 - pyskl - INFO - Epoch [120][2100/2353] lr: 2.404e-03, eta: 8:28:27, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 1.6165, loss: 1.6165 +2025-06-04 12:29:43,151 - pyskl - INFO - Epoch [120][2200/2353] lr: 2.397e-03, eta: 8:27:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 1.6108, loss: 1.6108 +2025-06-04 12:30:26,367 - pyskl - INFO - Epoch [120][2300/2353] lr: 2.391e-03, eta: 8:27:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 1.6291, loss: 1.6291 +2025-06-04 12:30:49,814 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-06-04 12:39:39,396 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 12:39:39,472 - pyskl - INFO - +top1_acc 0.9500 +top5_acc 0.9933 +2025-06-04 12:39:39,475 - pyskl - INFO - Epoch(val) [120][1184] top1_acc: 0.9500, top5_acc: 0.9933 +2025-06-04 12:40:42,963 - pyskl - INFO - Epoch [121][100/2353] lr: 2.381e-03, eta: 8:25:55, time: 0.635, data_time: 0.205, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 1.6290, loss: 1.6290 +2025-06-04 12:41:26,015 - pyskl - INFO - Epoch [121][200/2353] lr: 2.374e-03, eta: 8:25:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.6085, loss: 1.6085 +2025-06-04 12:42:09,079 - pyskl - INFO - Epoch [121][300/2353] lr: 2.368e-03, eta: 8:24:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 1.6700, loss: 1.6700 +2025-06-04 12:42:52,269 - pyskl - INFO - Epoch [121][400/2353] lr: 2.361e-03, eta: 8:23:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9962, loss_cls: 1.6550, loss: 1.6550 +2025-06-04 12:43:35,544 - pyskl - INFO - Epoch [121][500/2353] lr: 2.355e-03, eta: 8:23:03, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 1.6363, loss: 1.6363 +2025-06-04 12:44:18,791 - pyskl - INFO - Epoch [121][600/2353] lr: 2.348e-03, eta: 8:22:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.5893, loss: 1.5893 +2025-06-04 12:45:02,272 - pyskl - INFO - Epoch [121][700/2353] lr: 2.342e-03, eta: 8:21:37, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9962, loss_cls: 1.6018, loss: 1.6018 +2025-06-04 12:45:45,568 - pyskl - INFO - Epoch [121][800/2353] lr: 2.335e-03, eta: 8:20:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 1.6183, loss: 1.6183 +2025-06-04 12:46:28,768 - pyskl - INFO - Epoch [121][900/2353] lr: 2.329e-03, eta: 8:20:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 1.6737, loss: 1.6737 +2025-06-04 12:47:11,842 - pyskl - INFO - Epoch [121][1000/2353] lr: 2.322e-03, eta: 8:19:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9969, loss_cls: 1.6609, loss: 1.6609 +2025-06-04 12:47:55,011 - pyskl - INFO - Epoch [121][1100/2353] lr: 2.316e-03, eta: 8:18:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 1.6731, loss: 1.6731 +2025-06-04 12:48:38,182 - pyskl - INFO - Epoch [121][1200/2353] lr: 2.309e-03, eta: 8:18:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.6223, loss: 1.6223 +2025-06-04 12:49:21,419 - pyskl - INFO - Epoch [121][1300/2353] lr: 2.303e-03, eta: 8:17:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 1.6584, loss: 1.6584 +2025-06-04 12:50:04,664 - pyskl - INFO - Epoch [121][1400/2353] lr: 2.297e-03, eta: 8:16:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 1.6552, loss: 1.6552 +2025-06-04 12:50:47,889 - pyskl - INFO - Epoch [121][1500/2353] lr: 2.290e-03, eta: 8:15:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 1.6521, loss: 1.6521 +2025-06-04 12:51:31,229 - pyskl - INFO - Epoch [121][1600/2353] lr: 2.284e-03, eta: 8:15:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.6141, loss: 1.6141 +2025-06-04 12:52:14,528 - pyskl - INFO - Epoch [121][1700/2353] lr: 2.277e-03, eta: 8:14:26, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 1.6114, loss: 1.6114 +2025-06-04 12:52:57,788 - pyskl - INFO - Epoch [121][1800/2353] lr: 2.271e-03, eta: 8:13:43, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9950, loss_cls: 1.6468, loss: 1.6468 +2025-06-04 12:53:41,044 - pyskl - INFO - Epoch [121][1900/2353] lr: 2.265e-03, eta: 8:13:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 1.5719, loss: 1.5719 +2025-06-04 12:54:24,236 - pyskl - INFO - Epoch [121][2000/2353] lr: 2.258e-03, eta: 8:12:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 1.6041, loss: 1.6041 +2025-06-04 12:55:07,576 - pyskl - INFO - Epoch [121][2100/2353] lr: 2.252e-03, eta: 8:11:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 1.6495, loss: 1.6495 +2025-06-04 12:55:50,882 - pyskl - INFO - Epoch [121][2200/2353] lr: 2.245e-03, eta: 8:10:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 1.6769, loss: 1.6769 +2025-06-04 12:56:34,112 - pyskl - INFO - Epoch [121][2300/2353] lr: 2.239e-03, eta: 8:10:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 0.9969, loss_cls: 1.7139, loss: 1.7139 +2025-06-04 12:56:57,511 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-06-04 12:58:22,931 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 12:58:23,007 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9926 +2025-06-04 12:58:23,010 - pyskl - INFO - Epoch(val) [121][1184] top1_acc: 0.9449, top5_acc: 0.9926 +2025-06-04 12:59:26,949 - pyskl - INFO - Epoch [122][100/2353] lr: 2.229e-03, eta: 8:09:02, time: 0.639, data_time: 0.208, memory: 13127, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 1.6156, loss: 1.6156 +2025-06-04 13:00:10,103 - pyskl - INFO - Epoch [122][200/2353] lr: 2.223e-03, eta: 8:08:19, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 1.5831, loss: 1.5831 +2025-06-04 13:00:53,423 - pyskl - INFO - Epoch [122][300/2353] lr: 2.217e-03, eta: 8:07:36, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 1.6148, loss: 1.6148 +2025-06-04 13:01:36,634 - pyskl - INFO - Epoch [122][400/2353] lr: 2.210e-03, eta: 8:06:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.6107, loss: 1.6107 +2025-06-04 13:02:19,792 - pyskl - INFO - Epoch [122][500/2353] lr: 2.204e-03, eta: 8:06:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.5442, loss: 1.5442 +2025-06-04 13:03:02,976 - pyskl - INFO - Epoch [122][600/2353] lr: 2.198e-03, eta: 8:05:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.5987, loss: 1.5987 +2025-06-04 13:03:46,356 - pyskl - INFO - Epoch [122][700/2353] lr: 2.191e-03, eta: 8:04:44, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.5634, loss: 1.5634 +2025-06-04 13:04:29,691 - pyskl - INFO - Epoch [122][800/2353] lr: 2.185e-03, eta: 8:04:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.5339, loss: 1.5339 +2025-06-04 13:05:12,775 - pyskl - INFO - Epoch [122][900/2353] lr: 2.179e-03, eta: 8:03:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.5357, loss: 1.5357 +2025-06-04 13:05:55,770 - pyskl - INFO - Epoch [122][1000/2353] lr: 2.173e-03, eta: 8:02:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 1.6879, loss: 1.6879 +2025-06-04 13:06:38,887 - pyskl - INFO - Epoch [122][1100/2353] lr: 2.166e-03, eta: 8:01:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.6439, loss: 1.6439 +2025-06-04 13:07:21,938 - pyskl - INFO - Epoch [122][1200/2353] lr: 2.160e-03, eta: 8:01:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 1.5947, loss: 1.5947 +2025-06-04 13:08:05,049 - pyskl - INFO - Epoch [122][1300/2353] lr: 2.154e-03, eta: 8:00:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 1.6055, loss: 1.6055 +2025-06-04 13:08:48,137 - pyskl - INFO - Epoch [122][1400/2353] lr: 2.148e-03, eta: 7:59:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 1.6024, loss: 1.6024 +2025-06-04 13:09:31,393 - pyskl - INFO - Epoch [122][1500/2353] lr: 2.141e-03, eta: 7:58:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 1.6325, loss: 1.6325 +2025-06-04 13:10:14,567 - pyskl - INFO - Epoch [122][1600/2353] lr: 2.135e-03, eta: 7:58:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.6237, loss: 1.6237 +2025-06-04 13:10:57,735 - pyskl - INFO - Epoch [122][1700/2353] lr: 2.129e-03, eta: 7:57:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 1.6087, loss: 1.6087 +2025-06-04 13:11:40,832 - pyskl - INFO - Epoch [122][1800/2353] lr: 2.123e-03, eta: 7:56:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 1.6062, loss: 1.6062 +2025-06-04 13:12:23,976 - pyskl - INFO - Epoch [122][1900/2353] lr: 2.117e-03, eta: 7:56:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.5848, loss: 1.5848 +2025-06-04 13:13:07,247 - pyskl - INFO - Epoch [122][2000/2353] lr: 2.110e-03, eta: 7:55:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.5397, loss: 1.5397 +2025-06-04 13:13:50,444 - pyskl - INFO - Epoch [122][2100/2353] lr: 2.104e-03, eta: 7:54:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 1.5895, loss: 1.5895 +2025-06-04 13:14:33,600 - pyskl - INFO - Epoch [122][2200/2353] lr: 2.098e-03, eta: 7:53:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 1.6070, loss: 1.6070 +2025-06-04 13:15:16,845 - pyskl - INFO - Epoch [122][2300/2353] lr: 2.092e-03, eta: 7:53:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 1.6210, loss: 1.6210 +2025-06-04 13:15:40,282 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-06-04 13:17:05,882 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 13:17:05,958 - pyskl - INFO - +top1_acc 0.9546 +top5_acc 0.9948 +2025-06-04 13:17:06,012 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_119.pth was removed +2025-06-04 13:17:07,040 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2025-06-04 13:17:07,041 - pyskl - INFO - Best top1_acc is 0.9546 at 122 epoch. +2025-06-04 13:17:07,044 - pyskl - INFO - Epoch(val) [122][1184] top1_acc: 0.9546, top5_acc: 0.9948 +2025-06-04 13:18:11,018 - pyskl - INFO - Epoch [123][100/2353] lr: 2.082e-03, eta: 7:52:09, time: 0.640, data_time: 0.208, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 1.6008, loss: 1.6008 +2025-06-04 13:18:54,293 - pyskl - INFO - Epoch [123][200/2353] lr: 2.076e-03, eta: 7:51:26, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9969, loss_cls: 1.5479, loss: 1.5479 +2025-06-04 13:19:37,526 - pyskl - INFO - Epoch [123][300/2353] lr: 2.070e-03, eta: 7:50:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 1.5781, loss: 1.5781 +2025-06-04 13:20:20,651 - pyskl - INFO - Epoch [123][400/2353] lr: 2.064e-03, eta: 7:50:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 1.6020, loss: 1.6020 +2025-06-04 13:21:03,772 - pyskl - INFO - Epoch [123][500/2353] lr: 2.058e-03, eta: 7:49:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.5780, loss: 1.5780 +2025-06-04 13:21:46,973 - pyskl - INFO - Epoch [123][600/2353] lr: 2.052e-03, eta: 7:48:33, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 1.6237, loss: 1.6237 +2025-06-04 13:22:30,248 - pyskl - INFO - Epoch [123][700/2353] lr: 2.046e-03, eta: 7:47:50, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 1.6148, loss: 1.6148 +2025-06-04 13:23:13,383 - pyskl - INFO - Epoch [123][800/2353] lr: 2.040e-03, eta: 7:47:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 1.5209, loss: 1.5209 +2025-06-04 13:23:56,490 - pyskl - INFO - Epoch [123][900/2353] lr: 2.033e-03, eta: 7:46:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 1.5676, loss: 1.5676 +2025-06-04 13:24:39,581 - pyskl - INFO - Epoch [123][1000/2353] lr: 2.027e-03, eta: 7:45:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.6130, loss: 1.6130 +2025-06-04 13:25:22,901 - pyskl - INFO - Epoch [123][1100/2353] lr: 2.021e-03, eta: 7:44:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.5264, loss: 1.5264 +2025-06-04 13:26:06,026 - pyskl - INFO - Epoch [123][1200/2353] lr: 2.015e-03, eta: 7:44:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 1.5358, loss: 1.5358 +2025-06-04 13:26:49,074 - pyskl - INFO - Epoch [123][1300/2353] lr: 2.009e-03, eta: 7:43:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 1.4970, loss: 1.4970 +2025-06-04 13:27:32,144 - pyskl - INFO - Epoch [123][1400/2353] lr: 2.003e-03, eta: 7:42:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 1.4963, loss: 1.4963 +2025-06-04 13:28:15,344 - pyskl - INFO - Epoch [123][1500/2353] lr: 1.997e-03, eta: 7:42:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 1.6121, loss: 1.6121 +2025-06-04 13:28:58,755 - pyskl - INFO - Epoch [123][1600/2353] lr: 1.991e-03, eta: 7:41:23, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 1.6408, loss: 1.6408 +2025-06-04 13:29:41,996 - pyskl - INFO - Epoch [123][1700/2353] lr: 1.985e-03, eta: 7:40:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 1.6543, loss: 1.6543 +2025-06-04 13:30:25,145 - pyskl - INFO - Epoch [123][1800/2353] lr: 1.979e-03, eta: 7:39:57, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 1.5802, loss: 1.5802 +2025-06-04 13:31:08,187 - pyskl - INFO - Epoch [123][1900/2353] lr: 1.973e-03, eta: 7:39:14, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 1.6058, loss: 1.6058 +2025-06-04 13:31:51,477 - pyskl - INFO - Epoch [123][2000/2353] lr: 1.967e-03, eta: 7:38:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 1.5155, loss: 1.5155 +2025-06-04 13:32:34,767 - pyskl - INFO - Epoch [123][2100/2353] lr: 1.961e-03, eta: 7:37:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 1.5998, loss: 1.5998 +2025-06-04 13:33:18,078 - pyskl - INFO - Epoch [123][2200/2353] lr: 1.955e-03, eta: 7:37:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.5586, loss: 1.5586 +2025-06-04 13:34:01,268 - pyskl - INFO - Epoch [123][2300/2353] lr: 1.949e-03, eta: 7:36:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 1.6306, loss: 1.6306 +2025-06-04 13:34:24,584 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-06-04 13:35:50,294 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 13:35:50,370 - pyskl - INFO - +top1_acc 0.9520 +top5_acc 0.9930 +2025-06-04 13:35:50,374 - pyskl - INFO - Epoch(val) [123][1184] top1_acc: 0.9520, top5_acc: 0.9930 +2025-06-04 13:36:54,458 - pyskl - INFO - Epoch [124][100/2353] lr: 1.940e-03, eta: 7:35:16, time: 0.641, data_time: 0.207, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 1.5214, loss: 1.5214 +2025-06-04 13:37:37,766 - pyskl - INFO - Epoch [124][200/2353] lr: 1.934e-03, eta: 7:34:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.5214, loss: 1.5214 +2025-06-04 13:38:20,891 - pyskl - INFO - Epoch [124][300/2353] lr: 1.928e-03, eta: 7:33:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.4809, loss: 1.4809 +2025-06-04 13:39:04,045 - pyskl - INFO - Epoch [124][400/2353] lr: 1.922e-03, eta: 7:33:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.6093, loss: 1.6093 +2025-06-04 13:39:47,230 - pyskl - INFO - Epoch [124][500/2353] lr: 1.916e-03, eta: 7:32:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.5261, loss: 1.5261 +2025-06-04 13:40:30,512 - pyskl - INFO - Epoch [124][600/2353] lr: 1.910e-03, eta: 7:31:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 1.5083, loss: 1.5083 +2025-06-04 13:41:13,900 - pyskl - INFO - Epoch [124][700/2353] lr: 1.904e-03, eta: 7:30:57, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 1.5559, loss: 1.5559 +2025-06-04 13:41:57,142 - pyskl - INFO - Epoch [124][800/2353] lr: 1.899e-03, eta: 7:30:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.5338, loss: 1.5338 +2025-06-04 13:42:40,425 - pyskl - INFO - Epoch [124][900/2353] lr: 1.893e-03, eta: 7:29:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.5458, loss: 1.5458 +2025-06-04 13:43:23,563 - pyskl - INFO - Epoch [124][1000/2353] lr: 1.887e-03, eta: 7:28:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9962, loss_cls: 1.5558, loss: 1.5558 +2025-06-04 13:44:06,633 - pyskl - INFO - Epoch [124][1100/2353] lr: 1.881e-03, eta: 7:28:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 1.5613, loss: 1.5613 +2025-06-04 13:44:49,707 - pyskl - INFO - Epoch [124][1200/2353] lr: 1.875e-03, eta: 7:27:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 1.6059, loss: 1.6059 +2025-06-04 13:45:32,778 - pyskl - INFO - Epoch [124][1300/2353] lr: 1.869e-03, eta: 7:26:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.5800, loss: 1.5800 +2025-06-04 13:46:15,766 - pyskl - INFO - Epoch [124][1400/2353] lr: 1.863e-03, eta: 7:25:56, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 1.5048, loss: 1.5048 +2025-06-04 13:46:58,907 - pyskl - INFO - Epoch [124][1500/2353] lr: 1.857e-03, eta: 7:25:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.5294, loss: 1.5294 +2025-06-04 13:47:42,006 - pyskl - INFO - Epoch [124][1600/2353] lr: 1.852e-03, eta: 7:24:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 1.5562, loss: 1.5562 +2025-06-04 13:48:25,139 - pyskl - INFO - Epoch [124][1700/2353] lr: 1.846e-03, eta: 7:23:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 1.5990, loss: 1.5990 +2025-06-04 13:49:08,286 - pyskl - INFO - Epoch [124][1800/2353] lr: 1.840e-03, eta: 7:23:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.5698, loss: 1.5698 +2025-06-04 13:49:51,460 - pyskl - INFO - Epoch [124][1900/2353] lr: 1.834e-03, eta: 7:22:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 1.5448, loss: 1.5448 +2025-06-04 13:50:34,632 - pyskl - INFO - Epoch [124][2000/2353] lr: 1.828e-03, eta: 7:21:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.5441, loss: 1.5441 +2025-06-04 13:51:17,713 - pyskl - INFO - Epoch [124][2100/2353] lr: 1.823e-03, eta: 7:20:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.5102, loss: 1.5102 +2025-06-04 13:52:00,784 - pyskl - INFO - Epoch [124][2200/2353] lr: 1.817e-03, eta: 7:20:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.5052, loss: 1.5052 +2025-06-04 13:52:43,877 - pyskl - INFO - Epoch [124][2300/2353] lr: 1.811e-03, eta: 7:19:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 1.5499, loss: 1.5499 +2025-06-04 13:53:07,259 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-06-04 13:54:32,834 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 13:54:32,910 - pyskl - INFO - +top1_acc 0.9583 +top5_acc 0.9950 +2025-06-04 13:54:32,974 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_122.pth was removed +2025-06-04 13:54:34,056 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. +2025-06-04 13:54:34,057 - pyskl - INFO - Best top1_acc is 0.9583 at 124 epoch. +2025-06-04 13:54:34,060 - pyskl - INFO - Epoch(val) [124][1184] top1_acc: 0.9583, top5_acc: 0.9950 +2025-06-04 13:55:38,311 - pyskl - INFO - Epoch [125][100/2353] lr: 1.802e-03, eta: 7:18:22, time: 0.642, data_time: 0.210, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 1.5785, loss: 1.5785 +2025-06-04 13:56:21,538 - pyskl - INFO - Epoch [125][200/2353] lr: 1.796e-03, eta: 7:17:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 1.5646, loss: 1.5646 +2025-06-04 13:57:04,799 - pyskl - INFO - Epoch [125][300/2353] lr: 1.791e-03, eta: 7:16:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.4588, loss: 1.4588 +2025-06-04 13:57:47,979 - pyskl - INFO - Epoch [125][400/2353] lr: 1.785e-03, eta: 7:16:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.5362, loss: 1.5362 +2025-06-04 13:58:31,278 - pyskl - INFO - Epoch [125][500/2353] lr: 1.779e-03, eta: 7:15:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 1.5313, loss: 1.5313 +2025-06-04 13:59:14,696 - pyskl - INFO - Epoch [125][600/2353] lr: 1.774e-03, eta: 7:14:47, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 1.4996, loss: 1.4996 +2025-06-04 13:59:58,062 - pyskl - INFO - Epoch [125][700/2353] lr: 1.768e-03, eta: 7:14:04, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.5073, loss: 1.5073 +2025-06-04 14:00:41,303 - pyskl - INFO - Epoch [125][800/2353] lr: 1.762e-03, eta: 7:13:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.4770, loss: 1.4770 +2025-06-04 14:01:24,534 - pyskl - INFO - Epoch [125][900/2353] lr: 1.756e-03, eta: 7:12:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 1.5650, loss: 1.5650 +2025-06-04 14:02:07,793 - pyskl - INFO - Epoch [125][1000/2353] lr: 1.751e-03, eta: 7:11:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.4746, loss: 1.4746 +2025-06-04 14:02:51,026 - pyskl - INFO - Epoch [125][1100/2353] lr: 1.745e-03, eta: 7:11:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 1.5045, loss: 1.5045 +2025-06-04 14:03:34,136 - pyskl - INFO - Epoch [125][1200/2353] lr: 1.739e-03, eta: 7:10:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.5540, loss: 1.5540 +2025-06-04 14:04:17,298 - pyskl - INFO - Epoch [125][1300/2353] lr: 1.734e-03, eta: 7:09:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 1.5260, loss: 1.5260 +2025-06-04 14:05:00,463 - pyskl - INFO - Epoch [125][1400/2353] lr: 1.728e-03, eta: 7:09:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 1.5585, loss: 1.5585 +2025-06-04 14:05:43,698 - pyskl - INFO - Epoch [125][1500/2353] lr: 1.723e-03, eta: 7:08:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 1.5529, loss: 1.5529 +2025-06-04 14:06:26,904 - pyskl - INFO - Epoch [125][1600/2353] lr: 1.717e-03, eta: 7:07:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.5019, loss: 1.5019 +2025-06-04 14:07:10,269 - pyskl - INFO - Epoch [125][1700/2353] lr: 1.711e-03, eta: 7:06:54, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.5277, loss: 1.5277 +2025-06-04 14:07:53,405 - pyskl - INFO - Epoch [125][1800/2353] lr: 1.706e-03, eta: 7:06:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4737, loss: 1.4737 +2025-06-04 14:08:36,654 - pyskl - INFO - Epoch [125][1900/2353] lr: 1.700e-03, eta: 7:05:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 1.5350, loss: 1.5350 +2025-06-04 14:09:19,704 - pyskl - INFO - Epoch [125][2000/2353] lr: 1.694e-03, eta: 7:04:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 1.5154, loss: 1.5154 +2025-06-04 14:10:02,786 - pyskl - INFO - Epoch [125][2100/2353] lr: 1.689e-03, eta: 7:04:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 1.4881, loss: 1.4881 +2025-06-04 14:10:45,574 - pyskl - INFO - Epoch [125][2200/2353] lr: 1.683e-03, eta: 7:03:19, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.5185, loss: 1.5185 +2025-06-04 14:11:28,829 - pyskl - INFO - Epoch [125][2300/2353] lr: 1.678e-03, eta: 7:02:36, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.5449, loss: 1.5449 +2025-06-04 14:11:52,273 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-06-04 14:20:41,593 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 14:20:41,668 - pyskl - INFO - +top1_acc 0.9584 +top5_acc 0.9958 +2025-06-04 14:20:41,724 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_124.pth was removed +2025-06-04 14:20:42,749 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. +2025-06-04 14:20:42,750 - pyskl - INFO - Best top1_acc is 0.9584 at 125 epoch. +2025-06-04 14:20:42,752 - pyskl - INFO - Epoch(val) [125][1184] top1_acc: 0.9584, top5_acc: 0.9958 +2025-06-04 14:21:46,237 - pyskl - INFO - Epoch [126][100/2353] lr: 1.669e-03, eta: 7:01:29, time: 0.635, data_time: 0.207, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.5190, loss: 1.5190 +2025-06-04 14:22:29,119 - pyskl - INFO - Epoch [126][200/2353] lr: 1.664e-03, eta: 7:00:46, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.5381, loss: 1.5381 +2025-06-04 14:23:12,028 - pyskl - INFO - Epoch [126][300/2353] lr: 1.658e-03, eta: 7:00:03, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 1.5669, loss: 1.5669 +2025-06-04 14:23:54,948 - pyskl - INFO - Epoch [126][400/2353] lr: 1.653e-03, eta: 6:59:20, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.4361, loss: 1.4361 +2025-06-04 14:24:38,007 - pyskl - INFO - Epoch [126][500/2353] lr: 1.647e-03, eta: 6:58:37, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 1.5288, loss: 1.5288 +2025-06-04 14:25:21,171 - pyskl - INFO - Epoch [126][600/2353] lr: 1.642e-03, eta: 6:57:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9800, top5_acc: 0.9969, loss_cls: 1.5704, loss: 1.5704 +2025-06-04 14:26:04,358 - pyskl - INFO - Epoch [126][700/2353] lr: 1.636e-03, eta: 6:57:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.5587, loss: 1.5587 +2025-06-04 14:26:47,750 - pyskl - INFO - Epoch [126][800/2353] lr: 1.631e-03, eta: 6:56:28, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.5472, loss: 1.5472 +2025-06-04 14:27:30,820 - pyskl - INFO - Epoch [126][900/2353] lr: 1.625e-03, eta: 6:55:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 1.5172, loss: 1.5172 +2025-06-04 14:28:14,025 - pyskl - INFO - Epoch [126][1000/2353] lr: 1.620e-03, eta: 6:55:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 1.5548, loss: 1.5548 +2025-06-04 14:28:57,412 - pyskl - INFO - Epoch [126][1100/2353] lr: 1.614e-03, eta: 6:54:19, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.4614, loss: 1.4614 +2025-06-04 14:29:40,642 - pyskl - INFO - Epoch [126][1200/2353] lr: 1.609e-03, eta: 6:53:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 1.5236, loss: 1.5236 +2025-06-04 14:30:23,799 - pyskl - INFO - Epoch [126][1300/2353] lr: 1.603e-03, eta: 6:52:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 1.5450, loss: 1.5450 +2025-06-04 14:31:07,003 - pyskl - INFO - Epoch [126][1400/2353] lr: 1.598e-03, eta: 6:52:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.4940, loss: 1.4940 +2025-06-04 14:31:50,167 - pyskl - INFO - Epoch [126][1500/2353] lr: 1.592e-03, eta: 6:51:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.4593, loss: 1.4593 +2025-06-04 14:32:33,381 - pyskl - INFO - Epoch [126][1600/2353] lr: 1.587e-03, eta: 6:50:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 1.5441, loss: 1.5441 +2025-06-04 14:33:16,313 - pyskl - INFO - Epoch [126][1700/2353] lr: 1.581e-03, eta: 6:50:00, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.5391, loss: 1.5391 +2025-06-04 14:33:59,449 - pyskl - INFO - Epoch [126][1800/2353] lr: 1.576e-03, eta: 6:49:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.5154, loss: 1.5154 +2025-06-04 14:34:42,631 - pyskl - INFO - Epoch [126][1900/2353] lr: 1.571e-03, eta: 6:48:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.4517, loss: 1.4517 +2025-06-04 14:35:25,722 - pyskl - INFO - Epoch [126][2000/2353] lr: 1.565e-03, eta: 6:47:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.5470, loss: 1.5470 +2025-06-04 14:36:09,013 - pyskl - INFO - Epoch [126][2100/2353] lr: 1.560e-03, eta: 6:47:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.5166, loss: 1.5166 +2025-06-04 14:36:52,249 - pyskl - INFO - Epoch [126][2200/2353] lr: 1.554e-03, eta: 6:46:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 1.4705, loss: 1.4705 +2025-06-04 14:37:35,339 - pyskl - INFO - Epoch [126][2300/2353] lr: 1.549e-03, eta: 6:45:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 1.4885, loss: 1.4885 +2025-06-04 14:37:58,859 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-06-04 14:39:24,441 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 14:39:24,516 - pyskl - INFO - +top1_acc 0.9574 +top5_acc 0.9956 +2025-06-04 14:39:24,520 - pyskl - INFO - Epoch(val) [126][1184] top1_acc: 0.9574, top5_acc: 0.9956 +2025-06-04 14:40:28,868 - pyskl - INFO - Epoch [127][100/2353] lr: 1.541e-03, eta: 6:44:36, time: 0.643, data_time: 0.211, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.5014, loss: 1.5014 +2025-06-04 14:41:12,105 - pyskl - INFO - Epoch [127][200/2353] lr: 1.536e-03, eta: 6:43:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 1.5072, loss: 1.5072 +2025-06-04 14:41:55,312 - pyskl - INFO - Epoch [127][300/2353] lr: 1.530e-03, eta: 6:43:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.4619, loss: 1.4619 +2025-06-04 14:42:38,555 - pyskl - INFO - Epoch [127][400/2353] lr: 1.525e-03, eta: 6:42:27, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 1.5335, loss: 1.5335 +2025-06-04 14:43:21,747 - pyskl - INFO - Epoch [127][500/2353] lr: 1.520e-03, eta: 6:41:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 1.5116, loss: 1.5116 +2025-06-04 14:44:05,058 - pyskl - INFO - Epoch [127][600/2353] lr: 1.514e-03, eta: 6:41:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 1.5085, loss: 1.5085 +2025-06-04 14:44:48,378 - pyskl - INFO - Epoch [127][700/2353] lr: 1.509e-03, eta: 6:40:18, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.4454, loss: 1.4454 +2025-06-04 14:45:31,817 - pyskl - INFO - Epoch [127][800/2353] lr: 1.504e-03, eta: 6:39:35, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.4256, loss: 1.4256 +2025-06-04 14:46:15,139 - pyskl - INFO - Epoch [127][900/2353] lr: 1.498e-03, eta: 6:38:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 1.4850, loss: 1.4850 +2025-06-04 14:46:58,420 - pyskl - INFO - Epoch [127][1000/2353] lr: 1.493e-03, eta: 6:38:09, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 1.5024, loss: 1.5024 +2025-06-04 14:47:41,623 - pyskl - INFO - Epoch [127][1100/2353] lr: 1.488e-03, eta: 6:37:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.4849, loss: 1.4849 +2025-06-04 14:48:24,939 - pyskl - INFO - Epoch [127][1200/2353] lr: 1.483e-03, eta: 6:36:43, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 1.4943, loss: 1.4943 +2025-06-04 14:49:08,270 - pyskl - INFO - Epoch [127][1300/2353] lr: 1.477e-03, eta: 6:36:00, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.4310, loss: 1.4310 +2025-06-04 14:49:51,489 - pyskl - INFO - Epoch [127][1400/2353] lr: 1.472e-03, eta: 6:35:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.4865, loss: 1.4865 +2025-06-04 14:50:34,812 - pyskl - INFO - Epoch [127][1500/2353] lr: 1.467e-03, eta: 6:34:34, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 1.4697, loss: 1.4697 +2025-06-04 14:51:17,998 - pyskl - INFO - Epoch [127][1600/2353] lr: 1.462e-03, eta: 6:33:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.5134, loss: 1.5134 +2025-06-04 14:52:01,200 - pyskl - INFO - Epoch [127][1700/2353] lr: 1.456e-03, eta: 6:33:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.4703, loss: 1.4703 +2025-06-04 14:52:43,903 - pyskl - INFO - Epoch [127][1800/2353] lr: 1.451e-03, eta: 6:32:24, time: 0.427, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.4886, loss: 1.4886 +2025-06-04 14:53:26,665 - pyskl - INFO - Epoch [127][1900/2353] lr: 1.446e-03, eta: 6:31:41, time: 0.428, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 1.5279, loss: 1.5279 +2025-06-04 14:54:09,857 - pyskl - INFO - Epoch [127][2000/2353] lr: 1.441e-03, eta: 6:30:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4330, loss: 1.4330 +2025-06-04 14:54:53,069 - pyskl - INFO - Epoch [127][2100/2353] lr: 1.436e-03, eta: 6:30:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 1.5167, loss: 1.5167 +2025-06-04 14:55:36,279 - pyskl - INFO - Epoch [127][2200/2353] lr: 1.430e-03, eta: 6:29:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 1.5369, loss: 1.5369 +2025-06-04 14:56:19,587 - pyskl - INFO - Epoch [127][2300/2353] lr: 1.425e-03, eta: 6:28:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.5435, loss: 1.5435 +2025-06-04 14:56:43,080 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-06-04 14:58:08,603 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 14:58:08,684 - pyskl - INFO - +top1_acc 0.9611 +top5_acc 0.9956 +2025-06-04 14:58:08,739 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_125.pth was removed +2025-06-04 14:58:09,751 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2025-06-04 14:58:09,752 - pyskl - INFO - Best top1_acc is 0.9611 at 127 epoch. +2025-06-04 14:58:09,755 - pyskl - INFO - Epoch(val) [127][1184] top1_acc: 0.9611, top5_acc: 0.9956 +2025-06-04 14:59:13,754 - pyskl - INFO - Epoch [128][100/2353] lr: 1.417e-03, eta: 6:27:43, time: 0.640, data_time: 0.208, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 1.4553, loss: 1.4553 +2025-06-04 14:59:56,868 - pyskl - INFO - Epoch [128][200/2353] lr: 1.412e-03, eta: 6:27:00, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.4466, loss: 1.4466 +2025-06-04 15:00:40,133 - pyskl - INFO - Epoch [128][300/2353] lr: 1.407e-03, eta: 6:26:17, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 1.4513, loss: 1.4513 +2025-06-04 15:01:23,310 - pyskl - INFO - Epoch [128][400/2353] lr: 1.402e-03, eta: 6:25:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4354, loss: 1.4354 +2025-06-04 15:02:06,514 - pyskl - INFO - Epoch [128][500/2353] lr: 1.397e-03, eta: 6:24:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 1.4374, loss: 1.4374 +2025-06-04 15:02:49,917 - pyskl - INFO - Epoch [128][600/2353] lr: 1.392e-03, eta: 6:24:08, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.4313, loss: 1.4313 +2025-06-04 15:03:33,297 - pyskl - INFO - Epoch [128][700/2353] lr: 1.387e-03, eta: 6:23:25, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.4549, loss: 1.4549 +2025-06-04 15:04:16,567 - pyskl - INFO - Epoch [128][800/2353] lr: 1.382e-03, eta: 6:22:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 1.4195, loss: 1.4195 +2025-06-04 15:04:59,760 - pyskl - INFO - Epoch [128][900/2353] lr: 1.376e-03, eta: 6:21:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 1.4767, loss: 1.4767 +2025-06-04 15:05:42,842 - pyskl - INFO - Epoch [128][1000/2353] lr: 1.371e-03, eta: 6:21:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.4517, loss: 1.4517 +2025-06-04 15:06:26,129 - pyskl - INFO - Epoch [128][1100/2353] lr: 1.366e-03, eta: 6:20:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.3993, loss: 1.3993 +2025-06-04 15:07:09,261 - pyskl - INFO - Epoch [128][1200/2353] lr: 1.361e-03, eta: 6:19:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 1.4975, loss: 1.4975 +2025-06-04 15:07:52,426 - pyskl - INFO - Epoch [128][1300/2353] lr: 1.356e-03, eta: 6:19:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.4963, loss: 1.4963 +2025-06-04 15:08:35,640 - pyskl - INFO - Epoch [128][1400/2353] lr: 1.351e-03, eta: 6:18:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.4512, loss: 1.4512 +2025-06-04 15:09:18,844 - pyskl - INFO - Epoch [128][1500/2353] lr: 1.346e-03, eta: 6:17:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.4614, loss: 1.4614 +2025-06-04 15:10:02,120 - pyskl - INFO - Epoch [128][1600/2353] lr: 1.341e-03, eta: 6:16:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 1.4727, loss: 1.4727 +2025-06-04 15:10:45,252 - pyskl - INFO - Epoch [128][1700/2353] lr: 1.336e-03, eta: 6:16:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 1.4379, loss: 1.4379 +2025-06-04 15:11:28,422 - pyskl - INFO - Epoch [128][1800/2353] lr: 1.331e-03, eta: 6:15:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 1.4782, loss: 1.4782 +2025-06-04 15:12:11,511 - pyskl - INFO - Epoch [128][1900/2353] lr: 1.326e-03, eta: 6:14:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 1.5494, loss: 1.5494 +2025-06-04 15:12:54,709 - pyskl - INFO - Epoch [128][2000/2353] lr: 1.321e-03, eta: 6:14:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.5121, loss: 1.5121 +2025-06-04 15:13:37,966 - pyskl - INFO - Epoch [128][2100/2353] lr: 1.316e-03, eta: 6:13:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.5201, loss: 1.5201 +2025-06-04 15:14:21,068 - pyskl - INFO - Epoch [128][2200/2353] lr: 1.311e-03, eta: 6:12:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 1.4563, loss: 1.4563 +2025-06-04 15:15:04,183 - pyskl - INFO - Epoch [128][2300/2353] lr: 1.306e-03, eta: 6:11:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 1.4713, loss: 1.4713 +2025-06-04 15:15:27,611 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-06-04 15:16:53,022 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 15:16:53,098 - pyskl - INFO - +top1_acc 0.9465 +top5_acc 0.9930 +2025-06-04 15:16:53,101 - pyskl - INFO - Epoch(val) [128][1184] top1_acc: 0.9465, top5_acc: 0.9930 +2025-06-04 15:17:57,443 - pyskl - INFO - Epoch [129][100/2353] lr: 1.299e-03, eta: 6:10:50, time: 0.643, data_time: 0.211, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.4440, loss: 1.4440 +2025-06-04 15:18:40,753 - pyskl - INFO - Epoch [129][200/2353] lr: 1.294e-03, eta: 6:10:07, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 1.5021, loss: 1.5021 +2025-06-04 15:19:23,987 - pyskl - INFO - Epoch [129][300/2353] lr: 1.289e-03, eta: 6:09:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 1.4531, loss: 1.4531 +2025-06-04 15:20:07,215 - pyskl - INFO - Epoch [129][400/2353] lr: 1.284e-03, eta: 6:08:41, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9969, loss_cls: 1.4480, loss: 1.4480 +2025-06-04 15:20:50,419 - pyskl - INFO - Epoch [129][500/2353] lr: 1.279e-03, eta: 6:07:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4354, loss: 1.4354 +2025-06-04 15:21:33,739 - pyskl - INFO - Epoch [129][600/2353] lr: 1.274e-03, eta: 6:07:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.4818, loss: 1.4818 +2025-06-04 15:22:17,109 - pyskl - INFO - Epoch [129][700/2353] lr: 1.269e-03, eta: 6:06:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4422, loss: 1.4422 +2025-06-04 15:23:00,359 - pyskl - INFO - Epoch [129][800/2353] lr: 1.264e-03, eta: 6:05:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.4325, loss: 1.4325 +2025-06-04 15:23:43,595 - pyskl - INFO - Epoch [129][900/2353] lr: 1.259e-03, eta: 6:05:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.4068, loss: 1.4068 +2025-06-04 15:24:26,839 - pyskl - INFO - Epoch [129][1000/2353] lr: 1.255e-03, eta: 6:04:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.4747, loss: 1.4747 +2025-06-04 15:25:09,939 - pyskl - INFO - Epoch [129][1100/2353] lr: 1.250e-03, eta: 6:03:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.4610, loss: 1.4610 +2025-06-04 15:25:53,038 - pyskl - INFO - Epoch [129][1200/2353] lr: 1.245e-03, eta: 6:02:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.4666, loss: 1.4666 +2025-06-04 15:26:36,146 - pyskl - INFO - Epoch [129][1300/2353] lr: 1.240e-03, eta: 6:02:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 1.4237, loss: 1.4237 +2025-06-04 15:27:19,317 - pyskl - INFO - Epoch [129][1400/2353] lr: 1.235e-03, eta: 6:01:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 1.4695, loss: 1.4695 +2025-06-04 15:28:02,460 - pyskl - INFO - Epoch [129][1500/2353] lr: 1.230e-03, eta: 6:00:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 1.5161, loss: 1.5161 +2025-06-04 15:28:45,609 - pyskl - INFO - Epoch [129][1600/2353] lr: 1.226e-03, eta: 6:00:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 1.4127, loss: 1.4127 +2025-06-04 15:29:28,785 - pyskl - INFO - Epoch [129][1700/2353] lr: 1.221e-03, eta: 5:59:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 1.4078, loss: 1.4078 +2025-06-04 15:30:11,929 - pyskl - INFO - Epoch [129][1800/2353] lr: 1.216e-03, eta: 5:58:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.4365, loss: 1.4365 +2025-06-04 15:30:54,994 - pyskl - INFO - Epoch [129][1900/2353] lr: 1.211e-03, eta: 5:57:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.4773, loss: 1.4773 +2025-06-04 15:31:38,084 - pyskl - INFO - Epoch [129][2000/2353] lr: 1.206e-03, eta: 5:57:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 1.4694, loss: 1.4694 +2025-06-04 15:32:21,260 - pyskl - INFO - Epoch [129][2100/2353] lr: 1.202e-03, eta: 5:56:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 1.4816, loss: 1.4816 +2025-06-04 15:33:04,486 - pyskl - INFO - Epoch [129][2200/2353] lr: 1.197e-03, eta: 5:55:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 1.4583, loss: 1.4583 +2025-06-04 15:33:47,757 - pyskl - INFO - Epoch [129][2300/2353] lr: 1.192e-03, eta: 5:55:03, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.5047, loss: 1.5047 +2025-06-04 15:34:11,264 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-06-04 15:35:36,656 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 15:35:36,732 - pyskl - INFO - +top1_acc 0.9624 +top5_acc 0.9959 +2025-06-04 15:35:36,784 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_127.pth was removed +2025-06-04 15:35:37,766 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2025-06-04 15:35:37,766 - pyskl - INFO - Best top1_acc is 0.9624 at 129 epoch. +2025-06-04 15:35:37,769 - pyskl - INFO - Epoch(val) [129][1184] top1_acc: 0.9624, top5_acc: 0.9959 +2025-06-04 15:36:41,823 - pyskl - INFO - Epoch [130][100/2353] lr: 1.185e-03, eta: 5:53:57, time: 0.640, data_time: 0.209, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.4378, loss: 1.4378 +2025-06-04 15:37:25,008 - pyskl - INFO - Epoch [130][200/2353] lr: 1.180e-03, eta: 5:53:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.4129, loss: 1.4129 +2025-06-04 15:38:08,176 - pyskl - INFO - Epoch [130][300/2353] lr: 1.176e-03, eta: 5:52:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 1.4509, loss: 1.4509 +2025-06-04 15:38:51,268 - pyskl - INFO - Epoch [130][400/2353] lr: 1.171e-03, eta: 5:51:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.3815, loss: 1.3815 +2025-06-04 15:39:34,424 - pyskl - INFO - Epoch [130][500/2353] lr: 1.166e-03, eta: 5:51:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.4604, loss: 1.4604 +2025-06-04 15:40:17,717 - pyskl - INFO - Epoch [130][600/2353] lr: 1.161e-03, eta: 5:50:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 1.4038, loss: 1.4038 +2025-06-04 15:41:01,107 - pyskl - INFO - Epoch [130][700/2353] lr: 1.157e-03, eta: 5:49:38, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 1.4184, loss: 1.4184 +2025-06-04 15:41:44,556 - pyskl - INFO - Epoch [130][800/2353] lr: 1.152e-03, eta: 5:48:55, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4309, loss: 1.4309 +2025-06-04 15:42:27,776 - pyskl - INFO - Epoch [130][900/2353] lr: 1.147e-03, eta: 5:48:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 1.4070, loss: 1.4070 +2025-06-04 15:43:10,917 - pyskl - INFO - Epoch [130][1000/2353] lr: 1.143e-03, eta: 5:47:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.4709, loss: 1.4709 +2025-06-04 15:43:54,075 - pyskl - INFO - Epoch [130][1100/2353] lr: 1.138e-03, eta: 5:46:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3765, loss: 1.3765 +2025-06-04 15:44:37,294 - pyskl - INFO - Epoch [130][1200/2353] lr: 1.134e-03, eta: 5:46:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.4656, loss: 1.4656 +2025-06-04 15:45:20,452 - pyskl - INFO - Epoch [130][1300/2353] lr: 1.129e-03, eta: 5:45:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.3641, loss: 1.3641 +2025-06-04 15:46:03,761 - pyskl - INFO - Epoch [130][1400/2353] lr: 1.124e-03, eta: 5:44:37, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9862, top5_acc: 0.9975, loss_cls: 1.4746, loss: 1.4746 +2025-06-04 15:46:46,952 - pyskl - INFO - Epoch [130][1500/2353] lr: 1.120e-03, eta: 5:43:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.4397, loss: 1.4397 +2025-06-04 15:47:30,051 - pyskl - INFO - Epoch [130][1600/2353] lr: 1.115e-03, eta: 5:43:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.3979, loss: 1.3979 +2025-06-04 15:48:13,199 - pyskl - INFO - Epoch [130][1700/2353] lr: 1.110e-03, eta: 5:42:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3299, loss: 1.3299 +2025-06-04 15:48:56,303 - pyskl - INFO - Epoch [130][1800/2353] lr: 1.106e-03, eta: 5:41:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4006, loss: 1.4006 +2025-06-04 15:49:39,432 - pyskl - INFO - Epoch [130][1900/2353] lr: 1.101e-03, eta: 5:41:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.4046, loss: 1.4046 +2025-06-04 15:50:22,518 - pyskl - INFO - Epoch [130][2000/2353] lr: 1.097e-03, eta: 5:40:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.4240, loss: 1.4240 +2025-06-04 15:51:05,643 - pyskl - INFO - Epoch [130][2100/2353] lr: 1.092e-03, eta: 5:39:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.4294, loss: 1.4294 +2025-06-04 15:51:48,841 - pyskl - INFO - Epoch [130][2200/2353] lr: 1.088e-03, eta: 5:38:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3923, loss: 1.3923 +2025-06-04 15:52:31,957 - pyskl - INFO - Epoch [130][2300/2353] lr: 1.083e-03, eta: 5:38:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3900, loss: 1.3900 +2025-06-04 15:52:55,428 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-06-04 16:01:49,816 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 16:01:49,891 - pyskl - INFO - +top1_acc 0.9639 +top5_acc 0.9963 +2025-06-04 16:01:49,946 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_129.pth was removed +2025-06-04 16:01:50,992 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2025-06-04 16:01:50,993 - pyskl - INFO - Best top1_acc is 0.9639 at 130 epoch. +2025-06-04 16:01:50,996 - pyskl - INFO - Epoch(val) [130][1184] top1_acc: 0.9639, top5_acc: 0.9963 +2025-06-04 16:02:54,569 - pyskl - INFO - Epoch [131][100/2353] lr: 1.076e-03, eta: 5:37:03, time: 0.636, data_time: 0.207, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.4355, loss: 1.4355 +2025-06-04 16:03:37,704 - pyskl - INFO - Epoch [131][200/2353] lr: 1.072e-03, eta: 5:36:20, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.4604, loss: 1.4604 +2025-06-04 16:04:20,740 - pyskl - INFO - Epoch [131][300/2353] lr: 1.067e-03, eta: 5:35:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 1.4122, loss: 1.4122 +2025-06-04 16:05:03,766 - pyskl - INFO - Epoch [131][400/2353] lr: 1.063e-03, eta: 5:34:54, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.3985, loss: 1.3985 +2025-06-04 16:05:46,861 - pyskl - INFO - Epoch [131][500/2353] lr: 1.058e-03, eta: 5:34:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 1.3830, loss: 1.3830 +2025-06-04 16:06:30,036 - pyskl - INFO - Epoch [131][600/2353] lr: 1.054e-03, eta: 5:33:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.4042, loss: 1.4042 +2025-06-04 16:07:13,197 - pyskl - INFO - Epoch [131][700/2353] lr: 1.049e-03, eta: 5:32:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 1.4202, loss: 1.4202 +2025-06-04 16:07:56,330 - pyskl - INFO - Epoch [131][800/2353] lr: 1.045e-03, eta: 5:32:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.4545, loss: 1.4545 +2025-06-04 16:08:39,602 - pyskl - INFO - Epoch [131][900/2353] lr: 1.040e-03, eta: 5:31:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.4406, loss: 1.4406 +2025-06-04 16:09:22,728 - pyskl - INFO - Epoch [131][1000/2353] lr: 1.036e-03, eta: 5:30:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 1.4019, loss: 1.4019 +2025-06-04 16:10:05,884 - pyskl - INFO - Epoch [131][1100/2353] lr: 1.031e-03, eta: 5:29:53, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3994, loss: 1.3994 +2025-06-04 16:10:49,068 - pyskl - INFO - Epoch [131][1200/2353] lr: 1.027e-03, eta: 5:29:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 1.3939, loss: 1.3939 +2025-06-04 16:11:32,161 - pyskl - INFO - Epoch [131][1300/2353] lr: 1.023e-03, eta: 5:28:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4226, loss: 1.4226 +2025-06-04 16:12:15,184 - pyskl - INFO - Epoch [131][1400/2353] lr: 1.018e-03, eta: 5:27:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.3991, loss: 1.3991 +2025-06-04 16:12:58,292 - pyskl - INFO - Epoch [131][1500/2353] lr: 1.014e-03, eta: 5:27:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 1.4151, loss: 1.4151 +2025-06-04 16:13:41,188 - pyskl - INFO - Epoch [131][1600/2353] lr: 1.009e-03, eta: 5:26:17, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.4239, loss: 1.4239 +2025-06-04 16:14:24,388 - pyskl - INFO - Epoch [131][1700/2353] lr: 1.005e-03, eta: 5:25:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.3370, loss: 1.3370 +2025-06-04 16:15:07,575 - pyskl - INFO - Epoch [131][1800/2353] lr: 1.001e-03, eta: 5:24:51, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 1.4146, loss: 1.4146 +2025-06-04 16:15:50,764 - pyskl - INFO - Epoch [131][1900/2353] lr: 9.964e-04, eta: 5:24:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 1.4203, loss: 1.4203 +2025-06-04 16:16:34,022 - pyskl - INFO - Epoch [131][2000/2353] lr: 9.920e-04, eta: 5:23:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 1.4186, loss: 1.4186 +2025-06-04 16:17:17,146 - pyskl - INFO - Epoch [131][2100/2353] lr: 9.877e-04, eta: 5:22:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.4129, loss: 1.4129 +2025-06-04 16:18:00,283 - pyskl - INFO - Epoch [131][2200/2353] lr: 9.834e-04, eta: 5:21:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.4275, loss: 1.4275 +2025-06-04 16:18:43,501 - pyskl - INFO - Epoch [131][2300/2353] lr: 9.790e-04, eta: 5:21:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.3708, loss: 1.3708 +2025-06-04 16:19:06,911 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-06-04 16:20:32,509 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 16:20:32,583 - pyskl - INFO - +top1_acc 0.9636 +top5_acc 0.9957 +2025-06-04 16:20:32,587 - pyskl - INFO - Epoch(val) [131][1184] top1_acc: 0.9636, top5_acc: 0.9957 +2025-06-04 16:21:36,778 - pyskl - INFO - Epoch [132][100/2353] lr: 9.724e-04, eta: 5:20:10, time: 0.642, data_time: 0.206, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9962, loss_cls: 1.4240, loss: 1.4240 +2025-06-04 16:22:20,032 - pyskl - INFO - Epoch [132][200/2353] lr: 9.681e-04, eta: 5:19:27, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3732, loss: 1.3732 +2025-06-04 16:23:03,275 - pyskl - INFO - Epoch [132][300/2353] lr: 9.639e-04, eta: 5:18:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.3980, loss: 1.3980 +2025-06-04 16:23:46,629 - pyskl - INFO - Epoch [132][400/2353] lr: 9.596e-04, eta: 5:18:01, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.4271, loss: 1.4271 +2025-06-04 16:24:29,808 - pyskl - INFO - Epoch [132][500/2353] lr: 9.553e-04, eta: 5:17:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 1.2930, loss: 1.2930 +2025-06-04 16:25:12,890 - pyskl - INFO - Epoch [132][600/2353] lr: 9.510e-04, eta: 5:16:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3794, loss: 1.3794 +2025-06-04 16:25:56,111 - pyskl - INFO - Epoch [132][700/2353] lr: 9.468e-04, eta: 5:15:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3585, loss: 1.3585 +2025-06-04 16:26:39,168 - pyskl - INFO - Epoch [132][800/2353] lr: 9.426e-04, eta: 5:15:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3352, loss: 1.3352 +2025-06-04 16:27:22,245 - pyskl - INFO - Epoch [132][900/2353] lr: 9.383e-04, eta: 5:14:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3345, loss: 1.3345 +2025-06-04 16:28:05,460 - pyskl - INFO - Epoch [132][1000/2353] lr: 9.341e-04, eta: 5:13:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3089, loss: 1.3089 +2025-06-04 16:28:48,614 - pyskl - INFO - Epoch [132][1100/2353] lr: 9.299e-04, eta: 5:12:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 1.4553, loss: 1.4553 +2025-06-04 16:29:31,739 - pyskl - INFO - Epoch [132][1200/2353] lr: 9.257e-04, eta: 5:12:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 1.4443, loss: 1.4443 +2025-06-04 16:30:14,788 - pyskl - INFO - Epoch [132][1300/2353] lr: 9.215e-04, eta: 5:11:33, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 1.4886, loss: 1.4886 +2025-06-04 16:30:57,850 - pyskl - INFO - Epoch [132][1400/2353] lr: 9.173e-04, eta: 5:10:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9969, loss_cls: 1.4048, loss: 1.4048 +2025-06-04 16:31:40,946 - pyskl - INFO - Epoch [132][1500/2353] lr: 9.131e-04, eta: 5:10:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3865, loss: 1.3865 +2025-06-04 16:32:24,027 - pyskl - INFO - Epoch [132][1600/2353] lr: 9.089e-04, eta: 5:09:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3892, loss: 1.3892 +2025-06-04 16:33:07,127 - pyskl - INFO - Epoch [132][1700/2353] lr: 9.048e-04, eta: 5:08:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3870, loss: 1.3870 +2025-06-04 16:33:50,325 - pyskl - INFO - Epoch [132][1800/2353] lr: 9.006e-04, eta: 5:07:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.4524, loss: 1.4524 +2025-06-04 16:34:33,499 - pyskl - INFO - Epoch [132][1900/2353] lr: 8.965e-04, eta: 5:07:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 1.3555, loss: 1.3555 +2025-06-04 16:35:16,586 - pyskl - INFO - Epoch [132][2000/2353] lr: 8.924e-04, eta: 5:06:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.4245, loss: 1.4245 +2025-06-04 16:35:59,636 - pyskl - INFO - Epoch [132][2100/2353] lr: 8.882e-04, eta: 5:05:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.4145, loss: 1.4145 +2025-06-04 16:36:42,806 - pyskl - INFO - Epoch [132][2200/2353] lr: 8.841e-04, eta: 5:05:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.3828, loss: 1.3828 +2025-06-04 16:37:25,899 - pyskl - INFO - Epoch [132][2300/2353] lr: 8.800e-04, eta: 5:04:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 1.4274, loss: 1.4274 +2025-06-04 16:37:49,320 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-06-04 16:39:14,660 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 16:39:14,735 - pyskl - INFO - +top1_acc 0.9636 +top5_acc 0.9962 +2025-06-04 16:39:14,739 - pyskl - INFO - Epoch(val) [132][1184] top1_acc: 0.9636, top5_acc: 0.9962 +2025-06-04 16:40:18,859 - pyskl - INFO - Epoch [133][100/2353] lr: 8.737e-04, eta: 5:03:17, time: 0.641, data_time: 0.208, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 1.3712, loss: 1.3712 +2025-06-04 16:41:02,031 - pyskl - INFO - Epoch [133][200/2353] lr: 8.697e-04, eta: 5:02:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.3395, loss: 1.3395 +2025-06-04 16:41:45,178 - pyskl - INFO - Epoch [133][300/2353] lr: 8.656e-04, eta: 5:01:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.4085, loss: 1.4085 +2025-06-04 16:42:28,379 - pyskl - INFO - Epoch [133][400/2353] lr: 8.615e-04, eta: 5:01:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.3767, loss: 1.3767 +2025-06-04 16:43:11,631 - pyskl - INFO - Epoch [133][500/2353] lr: 8.575e-04, eta: 5:00:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.4211, loss: 1.4211 +2025-06-04 16:43:55,007 - pyskl - INFO - Epoch [133][600/2353] lr: 8.534e-04, eta: 4:59:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.4227, loss: 1.4227 +2025-06-04 16:44:38,568 - pyskl - INFO - Epoch [133][700/2353] lr: 8.494e-04, eta: 4:58:58, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.3659, loss: 1.3659 +2025-06-04 16:45:21,985 - pyskl - INFO - Epoch [133][800/2353] lr: 8.454e-04, eta: 4:58:15, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 1.3596, loss: 1.3596 +2025-06-04 16:46:05,405 - pyskl - INFO - Epoch [133][900/2353] lr: 8.413e-04, eta: 4:57:32, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.3393, loss: 1.3393 +2025-06-04 16:46:48,723 - pyskl - INFO - Epoch [133][1000/2353] lr: 8.373e-04, eta: 4:56:49, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.3975, loss: 1.3975 +2025-06-04 16:47:32,041 - pyskl - INFO - Epoch [133][1100/2353] lr: 8.333e-04, eta: 4:56:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 1.3927, loss: 1.3927 +2025-06-04 16:48:15,314 - pyskl - INFO - Epoch [133][1200/2353] lr: 8.293e-04, eta: 4:55:23, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3929, loss: 1.3929 +2025-06-04 16:48:58,627 - pyskl - INFO - Epoch [133][1300/2353] lr: 8.254e-04, eta: 4:54:40, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3335, loss: 1.3335 +2025-06-04 16:49:41,831 - pyskl - INFO - Epoch [133][1400/2353] lr: 8.214e-04, eta: 4:53:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.3549, loss: 1.3549 +2025-06-04 16:50:25,038 - pyskl - INFO - Epoch [133][1500/2353] lr: 8.174e-04, eta: 4:53:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3779, loss: 1.3779 +2025-06-04 16:51:08,387 - pyskl - INFO - Epoch [133][1600/2353] lr: 8.135e-04, eta: 4:52:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3802, loss: 1.3802 +2025-06-04 16:51:51,674 - pyskl - INFO - Epoch [133][1700/2353] lr: 8.095e-04, eta: 4:51:48, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.3487, loss: 1.3487 +2025-06-04 16:52:34,884 - pyskl - INFO - Epoch [133][1800/2353] lr: 8.056e-04, eta: 4:51:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.4216, loss: 1.4216 +2025-06-04 16:53:18,012 - pyskl - INFO - Epoch [133][1900/2353] lr: 8.017e-04, eta: 4:50:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3525, loss: 1.3525 +2025-06-04 16:54:01,206 - pyskl - INFO - Epoch [133][2000/2353] lr: 7.978e-04, eta: 4:49:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.3410, loss: 1.3410 +2025-06-04 16:54:44,437 - pyskl - INFO - Epoch [133][2100/2353] lr: 7.939e-04, eta: 4:48:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 1.3918, loss: 1.3918 +2025-06-04 16:55:27,559 - pyskl - INFO - Epoch [133][2200/2353] lr: 7.900e-04, eta: 4:48:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9881, top5_acc: 0.9969, loss_cls: 1.4900, loss: 1.4900 +2025-06-04 16:56:10,800 - pyskl - INFO - Epoch [133][2300/2353] lr: 7.861e-04, eta: 4:47:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3857, loss: 1.3857 +2025-06-04 16:56:34,289 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-06-04 16:57:59,716 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 16:57:59,792 - pyskl - INFO - +top1_acc 0.9649 +top5_acc 0.9957 +2025-06-04 16:57:59,845 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_130.pth was removed +2025-06-04 16:58:00,857 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-06-04 16:58:00,858 - pyskl - INFO - Best top1_acc is 0.9649 at 133 epoch. +2025-06-04 16:58:00,861 - pyskl - INFO - Epoch(val) [133][1184] top1_acc: 0.9649, top5_acc: 0.9957 +2025-06-04 16:59:04,850 - pyskl - INFO - Epoch [134][100/2353] lr: 7.801e-04, eta: 4:46:24, time: 0.640, data_time: 0.207, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 1.3331, loss: 1.3331 +2025-06-04 16:59:48,103 - pyskl - INFO - Epoch [134][200/2353] lr: 7.763e-04, eta: 4:45:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3571, loss: 1.3571 +2025-06-04 17:00:31,289 - pyskl - INFO - Epoch [134][300/2353] lr: 7.724e-04, eta: 4:44:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3566, loss: 1.3566 +2025-06-04 17:01:14,368 - pyskl - INFO - Epoch [134][400/2353] lr: 7.686e-04, eta: 4:44:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3753, loss: 1.3753 +2025-06-04 17:01:57,499 - pyskl - INFO - Epoch [134][500/2353] lr: 7.647e-04, eta: 4:43:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3295, loss: 1.3295 +2025-06-04 17:02:40,899 - pyskl - INFO - Epoch [134][600/2353] lr: 7.609e-04, eta: 4:42:48, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 1.3686, loss: 1.3686 +2025-06-04 17:03:24,137 - pyskl - INFO - Epoch [134][700/2353] lr: 7.571e-04, eta: 4:42:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 1.3884, loss: 1.3884 +2025-06-04 17:04:07,332 - pyskl - INFO - Epoch [134][800/2353] lr: 7.533e-04, eta: 4:41:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.2973, loss: 1.2973 +2025-06-04 17:04:50,574 - pyskl - INFO - Epoch [134][900/2353] lr: 7.495e-04, eta: 4:40:39, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 1.3327, loss: 1.3327 +2025-06-04 17:05:33,660 - pyskl - INFO - Epoch [134][1000/2353] lr: 7.457e-04, eta: 4:39:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3267, loss: 1.3267 +2025-06-04 17:06:16,720 - pyskl - INFO - Epoch [134][1100/2353] lr: 7.419e-04, eta: 4:39:13, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.4018, loss: 1.4018 +2025-06-04 17:06:59,785 - pyskl - INFO - Epoch [134][1200/2353] lr: 7.381e-04, eta: 4:38:30, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3455, loss: 1.3455 +2025-06-04 17:07:42,787 - pyskl - INFO - Epoch [134][1300/2353] lr: 7.344e-04, eta: 4:37:47, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.3396, loss: 1.3396 +2025-06-04 17:08:25,801 - pyskl - INFO - Epoch [134][1400/2353] lr: 7.306e-04, eta: 4:37:04, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.3581, loss: 1.3581 +2025-06-04 17:09:08,876 - pyskl - INFO - Epoch [134][1500/2353] lr: 7.269e-04, eta: 4:36:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3723, loss: 1.3723 +2025-06-04 17:09:51,927 - pyskl - INFO - Epoch [134][1600/2353] lr: 7.232e-04, eta: 4:35:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3476, loss: 1.3476 +2025-06-04 17:10:35,063 - pyskl - INFO - Epoch [134][1700/2353] lr: 7.194e-04, eta: 4:34:55, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3529, loss: 1.3529 +2025-06-04 17:11:18,073 - pyskl - INFO - Epoch [134][1800/2353] lr: 7.157e-04, eta: 4:34:12, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 1.2994, loss: 1.2994 +2025-06-04 17:12:01,056 - pyskl - INFO - Epoch [134][1900/2353] lr: 7.120e-04, eta: 4:33:28, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3442, loss: 1.3442 +2025-06-04 17:12:44,135 - pyskl - INFO - Epoch [134][2000/2353] lr: 7.083e-04, eta: 4:32:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.4099, loss: 1.4099 +2025-06-04 17:13:27,179 - pyskl - INFO - Epoch [134][2100/2353] lr: 7.046e-04, eta: 4:32:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3359, loss: 1.3359 +2025-06-04 17:14:10,138 - pyskl - INFO - Epoch [134][2200/2353] lr: 7.009e-04, eta: 4:31:19, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3839, loss: 1.3839 +2025-06-04 17:14:53,160 - pyskl - INFO - Epoch [134][2300/2353] lr: 6.973e-04, eta: 4:30:36, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 1.3513, loss: 1.3513 +2025-06-04 17:15:16,512 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-06-04 17:16:41,789 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 17:16:41,866 - pyskl - INFO - +top1_acc 0.9480 +top5_acc 0.9797 +2025-06-04 17:16:41,869 - pyskl - INFO - Epoch(val) [134][1184] top1_acc: 0.9480, top5_acc: 0.9797 +2025-06-04 17:17:45,628 - pyskl - INFO - Epoch [135][100/2353] lr: 6.917e-04, eta: 4:29:30, time: 0.638, data_time: 0.205, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3577, loss: 1.3577 +2025-06-04 17:18:29,140 - pyskl - INFO - Epoch [135][200/2353] lr: 6.880e-04, eta: 4:28:47, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3454, loss: 1.3454 +2025-06-04 17:19:12,339 - pyskl - INFO - Epoch [135][300/2353] lr: 6.844e-04, eta: 4:28:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 1.3284, loss: 1.3284 +2025-06-04 17:19:55,657 - pyskl - INFO - Epoch [135][400/2353] lr: 6.808e-04, eta: 4:27:21, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 1.3388, loss: 1.3388 +2025-06-04 17:20:38,891 - pyskl - INFO - Epoch [135][500/2353] lr: 6.772e-04, eta: 4:26:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3347, loss: 1.3347 +2025-06-04 17:21:22,198 - pyskl - INFO - Epoch [135][600/2353] lr: 6.735e-04, eta: 4:25:55, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 1.3834, loss: 1.3834 +2025-06-04 17:22:05,598 - pyskl - INFO - Epoch [135][700/2353] lr: 6.699e-04, eta: 4:25:12, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3488, loss: 1.3488 +2025-06-04 17:22:49,118 - pyskl - INFO - Epoch [135][800/2353] lr: 6.664e-04, eta: 4:24:29, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 1.3368, loss: 1.3368 +2025-06-04 17:23:32,661 - pyskl - INFO - Epoch [135][900/2353] lr: 6.628e-04, eta: 4:23:46, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3732, loss: 1.3732 +2025-06-04 17:24:15,981 - pyskl - INFO - Epoch [135][1000/2353] lr: 6.592e-04, eta: 4:23:03, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.3063, loss: 1.3063 +2025-06-04 17:24:59,208 - pyskl - INFO - Epoch [135][1100/2353] lr: 6.556e-04, eta: 4:22:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3077, loss: 1.3077 +2025-06-04 17:25:42,474 - pyskl - INFO - Epoch [135][1200/2353] lr: 6.521e-04, eta: 4:21:37, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.3336, loss: 1.3336 +2025-06-04 17:26:25,773 - pyskl - INFO - Epoch [135][1300/2353] lr: 6.486e-04, eta: 4:20:54, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3599, loss: 1.3599 +2025-06-04 17:27:08,981 - pyskl - INFO - Epoch [135][1400/2353] lr: 6.450e-04, eta: 4:20:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3312, loss: 1.3312 +2025-06-04 17:27:52,195 - pyskl - INFO - Epoch [135][1500/2353] lr: 6.415e-04, eta: 4:19:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3518, loss: 1.3518 +2025-06-04 17:28:35,440 - pyskl - INFO - Epoch [135][1600/2353] lr: 6.380e-04, eta: 4:18:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.3413, loss: 1.3413 +2025-06-04 17:29:18,703 - pyskl - INFO - Epoch [135][1700/2353] lr: 6.345e-04, eta: 4:18:01, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.3104, loss: 1.3104 +2025-06-04 17:30:01,995 - pyskl - INFO - Epoch [135][1800/2353] lr: 6.310e-04, eta: 4:17:18, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3722, loss: 1.3722 +2025-06-04 17:30:45,270 - pyskl - INFO - Epoch [135][1900/2353] lr: 6.275e-04, eta: 4:16:35, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3382, loss: 1.3382 +2025-06-04 17:31:28,476 - pyskl - INFO - Epoch [135][2000/2353] lr: 6.240e-04, eta: 4:15:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3410, loss: 1.3410 +2025-06-04 17:32:11,623 - pyskl - INFO - Epoch [135][2100/2353] lr: 6.206e-04, eta: 4:15:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.3311, loss: 1.3311 +2025-06-04 17:32:54,864 - pyskl - INFO - Epoch [135][2200/2353] lr: 6.171e-04, eta: 4:14:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2649, loss: 1.2649 +2025-06-04 17:33:38,078 - pyskl - INFO - Epoch [135][2300/2353] lr: 6.137e-04, eta: 4:13:43, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.3002, loss: 1.3002 +2025-06-04 17:34:01,560 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-06-04 17:43:00,821 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 17:43:00,896 - pyskl - INFO - +top1_acc 0.9657 +top5_acc 0.9960 +2025-06-04 17:43:00,948 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_133.pth was removed +2025-06-04 17:43:01,961 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2025-06-04 17:43:01,962 - pyskl - INFO - Best top1_acc is 0.9657 at 135 epoch. +2025-06-04 17:43:01,964 - pyskl - INFO - Epoch(val) [135][1184] top1_acc: 0.9657, top5_acc: 0.9960 +2025-06-04 17:44:05,840 - pyskl - INFO - Epoch [136][100/2353] lr: 6.084e-04, eta: 4:12:37, time: 0.639, data_time: 0.207, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.4011, loss: 1.4011 +2025-06-04 17:44:48,935 - pyskl - INFO - Epoch [136][200/2353] lr: 6.050e-04, eta: 4:11:54, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.3253, loss: 1.3253 +2025-06-04 17:45:31,956 - pyskl - INFO - Epoch [136][300/2353] lr: 6.016e-04, eta: 4:11:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3267, loss: 1.3267 +2025-06-04 17:46:15,037 - pyskl - INFO - Epoch [136][400/2353] lr: 5.982e-04, eta: 4:10:28, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.3372, loss: 1.3372 +2025-06-04 17:46:58,197 - pyskl - INFO - Epoch [136][500/2353] lr: 5.948e-04, eta: 4:09:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.3077, loss: 1.3077 +2025-06-04 17:47:41,244 - pyskl - INFO - Epoch [136][600/2353] lr: 5.914e-04, eta: 4:09:02, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9975, loss_cls: 1.3232, loss: 1.3232 +2025-06-04 17:48:24,529 - pyskl - INFO - Epoch [136][700/2353] lr: 5.880e-04, eta: 4:08:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.3233, loss: 1.3233 +2025-06-04 17:49:07,767 - pyskl - INFO - Epoch [136][800/2353] lr: 5.846e-04, eta: 4:07:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.3087, loss: 1.3087 +2025-06-04 17:49:51,079 - pyskl - INFO - Epoch [136][900/2353] lr: 5.813e-04, eta: 4:06:53, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3574, loss: 1.3574 +2025-06-04 17:50:34,323 - pyskl - INFO - Epoch [136][1000/2353] lr: 5.779e-04, eta: 4:06:10, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2921, loss: 1.2921 +2025-06-04 17:51:17,510 - pyskl - INFO - Epoch [136][1100/2353] lr: 5.746e-04, eta: 4:05:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.3382, loss: 1.3382 +2025-06-04 17:52:00,581 - pyskl - INFO - Epoch [136][1200/2353] lr: 5.712e-04, eta: 4:04:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3037, loss: 1.3037 +2025-06-04 17:52:43,790 - pyskl - INFO - Epoch [136][1300/2353] lr: 5.679e-04, eta: 4:04:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3253, loss: 1.3253 +2025-06-04 17:53:26,938 - pyskl - INFO - Epoch [136][1400/2353] lr: 5.646e-04, eta: 4:03:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3287, loss: 1.3287 +2025-06-04 17:54:10,077 - pyskl - INFO - Epoch [136][1500/2353] lr: 5.613e-04, eta: 4:02:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 1.3556, loss: 1.3556 +2025-06-04 17:54:53,214 - pyskl - INFO - Epoch [136][1600/2353] lr: 5.580e-04, eta: 4:01:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.3823, loss: 1.3823 +2025-06-04 17:55:36,454 - pyskl - INFO - Epoch [136][1700/2353] lr: 5.547e-04, eta: 4:01:08, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3469, loss: 1.3469 +2025-06-04 17:56:19,515 - pyskl - INFO - Epoch [136][1800/2353] lr: 5.515e-04, eta: 4:00:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 1.3566, loss: 1.3566 +2025-06-04 17:57:02,836 - pyskl - INFO - Epoch [136][1900/2353] lr: 5.482e-04, eta: 3:59:42, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3485, loss: 1.3485 +2025-06-04 17:57:45,988 - pyskl - INFO - Epoch [136][2000/2353] lr: 5.449e-04, eta: 3:58:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 1.3360, loss: 1.3360 +2025-06-04 17:58:29,119 - pyskl - INFO - Epoch [136][2100/2353] lr: 5.417e-04, eta: 3:58:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.3217, loss: 1.3217 +2025-06-04 17:59:12,395 - pyskl - INFO - Epoch [136][2200/2353] lr: 5.385e-04, eta: 3:57:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3251, loss: 1.3251 +2025-06-04 17:59:55,551 - pyskl - INFO - Epoch [136][2300/2353] lr: 5.352e-04, eta: 3:56:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.3318, loss: 1.3318 +2025-06-04 18:00:18,902 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-06-04 18:02:28,993 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 18:02:29,068 - pyskl - INFO - +top1_acc 0.9664 +top5_acc 0.9960 +2025-06-04 18:02:29,124 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_135.pth was removed +2025-06-04 18:02:30,162 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. +2025-06-04 18:02:30,163 - pyskl - INFO - Best top1_acc is 0.9664 at 136 epoch. +2025-06-04 18:02:30,166 - pyskl - INFO - Epoch(val) [136][1184] top1_acc: 0.9664, top5_acc: 0.9960 +2025-06-04 18:03:34,173 - pyskl - INFO - Epoch [137][100/2353] lr: 5.303e-04, eta: 3:55:44, time: 0.640, data_time: 0.208, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3198, loss: 1.3198 +2025-06-04 18:04:17,336 - pyskl - INFO - Epoch [137][200/2353] lr: 5.271e-04, eta: 3:55:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2594, loss: 1.2594 +2025-06-04 18:05:00,475 - pyskl - INFO - Epoch [137][300/2353] lr: 5.239e-04, eta: 3:54:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9975, loss_cls: 1.3501, loss: 1.3501 +2025-06-04 18:05:43,711 - pyskl - INFO - Epoch [137][400/2353] lr: 5.208e-04, eta: 3:53:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3670, loss: 1.3670 +2025-06-04 18:06:27,108 - pyskl - INFO - Epoch [137][500/2353] lr: 5.176e-04, eta: 3:52:51, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 1.3035, loss: 1.3035 +2025-06-04 18:07:10,505 - pyskl - INFO - Epoch [137][600/2353] lr: 5.144e-04, eta: 3:52:08, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3463, loss: 1.3463 +2025-06-04 18:07:53,884 - pyskl - INFO - Epoch [137][700/2353] lr: 5.113e-04, eta: 3:51:25, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.3451, loss: 1.3451 +2025-06-04 18:08:37,074 - pyskl - INFO - Epoch [137][800/2353] lr: 5.081e-04, eta: 3:50:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.3077, loss: 1.3077 +2025-06-04 18:09:20,288 - pyskl - INFO - Epoch [137][900/2353] lr: 5.050e-04, eta: 3:49:59, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2621, loss: 1.2621 +2025-06-04 18:10:03,483 - pyskl - INFO - Epoch [137][1000/2353] lr: 5.019e-04, eta: 3:49:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.2894, loss: 1.2894 +2025-06-04 18:10:46,608 - pyskl - INFO - Epoch [137][1100/2353] lr: 4.987e-04, eta: 3:48:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3005, loss: 1.3005 +2025-06-04 18:11:29,668 - pyskl - INFO - Epoch [137][1200/2353] lr: 4.956e-04, eta: 3:47:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2976, loss: 1.2976 +2025-06-04 18:12:12,750 - pyskl - INFO - Epoch [137][1300/2353] lr: 4.925e-04, eta: 3:47:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9981, loss_cls: 1.2892, loss: 1.2892 +2025-06-04 18:12:55,915 - pyskl - INFO - Epoch [137][1400/2353] lr: 4.894e-04, eta: 3:46:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2908, loss: 1.2908 +2025-06-04 18:13:39,024 - pyskl - INFO - Epoch [137][1500/2353] lr: 4.864e-04, eta: 3:45:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3788, loss: 1.3788 +2025-06-04 18:14:22,073 - pyskl - INFO - Epoch [137][1600/2353] lr: 4.833e-04, eta: 3:44:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2927, loss: 1.2927 +2025-06-04 18:15:05,150 - pyskl - INFO - Epoch [137][1700/2353] lr: 4.802e-04, eta: 3:44:15, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2993, loss: 1.2993 +2025-06-04 18:15:48,295 - pyskl - INFO - Epoch [137][1800/2353] lr: 4.772e-04, eta: 3:43:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3086, loss: 1.3086 +2025-06-04 18:16:31,427 - pyskl - INFO - Epoch [137][1900/2353] lr: 4.742e-04, eta: 3:42:49, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2954, loss: 1.2954 +2025-06-04 18:17:14,535 - pyskl - INFO - Epoch [137][2000/2353] lr: 4.711e-04, eta: 3:42:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2818, loss: 1.2818 +2025-06-04 18:17:57,688 - pyskl - INFO - Epoch [137][2100/2353] lr: 4.681e-04, eta: 3:41:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3192, loss: 1.3192 +2025-06-04 18:18:40,801 - pyskl - INFO - Epoch [137][2200/2353] lr: 4.651e-04, eta: 3:40:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2946, loss: 1.2946 +2025-06-04 18:19:24,043 - pyskl - INFO - Epoch [137][2300/2353] lr: 4.621e-04, eta: 3:39:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3631, loss: 1.3631 +2025-06-04 18:19:47,591 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-06-04 18:21:12,943 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 18:21:13,018 - pyskl - INFO - +top1_acc 0.9656 +top5_acc 0.9957 +2025-06-04 18:21:13,022 - pyskl - INFO - Epoch(val) [137][1184] top1_acc: 0.9656, top5_acc: 0.9957 +2025-06-04 18:22:17,171 - pyskl - INFO - Epoch [138][100/2353] lr: 4.575e-04, eta: 3:38:50, time: 0.641, data_time: 0.209, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2717, loss: 1.2717 +2025-06-04 18:23:00,347 - pyskl - INFO - Epoch [138][200/2353] lr: 4.545e-04, eta: 3:38:07, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3103, loss: 1.3103 +2025-06-04 18:23:43,547 - pyskl - INFO - Epoch [138][300/2353] lr: 4.516e-04, eta: 3:37:24, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.3010, loss: 1.3010 +2025-06-04 18:24:26,849 - pyskl - INFO - Epoch [138][400/2353] lr: 4.486e-04, eta: 3:36:41, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2947, loss: 1.2947 +2025-06-04 18:25:10,168 - pyskl - INFO - Epoch [138][500/2353] lr: 4.457e-04, eta: 3:35:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2944, loss: 1.2944 +2025-06-04 18:25:53,495 - pyskl - INFO - Epoch [138][600/2353] lr: 4.427e-04, eta: 3:35:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 1.2568, loss: 1.2568 +2025-06-04 18:26:36,649 - pyskl - INFO - Epoch [138][700/2353] lr: 4.398e-04, eta: 3:34:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9975, loss_cls: 1.2739, loss: 1.2739 +2025-06-04 18:27:19,687 - pyskl - INFO - Epoch [138][800/2353] lr: 4.369e-04, eta: 3:33:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2802, loss: 1.2802 +2025-06-04 18:28:02,992 - pyskl - INFO - Epoch [138][900/2353] lr: 4.340e-04, eta: 3:33:06, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2839, loss: 1.2839 +2025-06-04 18:28:46,193 - pyskl - INFO - Epoch [138][1000/2353] lr: 4.311e-04, eta: 3:32:23, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2612, loss: 1.2612 +2025-06-04 18:29:29,435 - pyskl - INFO - Epoch [138][1100/2353] lr: 4.282e-04, eta: 3:31:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2724, loss: 1.2724 +2025-06-04 18:30:12,609 - pyskl - INFO - Epoch [138][1200/2353] lr: 4.253e-04, eta: 3:30:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2946, loss: 1.2946 +2025-06-04 18:30:55,890 - pyskl - INFO - Epoch [138][1300/2353] lr: 4.224e-04, eta: 3:30:14, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.3333, loss: 1.3333 +2025-06-04 18:31:39,089 - pyskl - INFO - Epoch [138][1400/2353] lr: 4.195e-04, eta: 3:29:31, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 1.2774, loss: 1.2774 +2025-06-04 18:32:22,206 - pyskl - INFO - Epoch [138][1500/2353] lr: 4.167e-04, eta: 3:28:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.3144, loss: 1.3144 +2025-06-04 18:33:05,305 - pyskl - INFO - Epoch [138][1600/2353] lr: 4.138e-04, eta: 3:28:05, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2685, loss: 1.2685 +2025-06-04 18:33:48,596 - pyskl - INFO - Epoch [138][1700/2353] lr: 4.110e-04, eta: 3:27:22, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3136, loss: 1.3136 +2025-06-04 18:34:31,818 - pyskl - INFO - Epoch [138][1800/2353] lr: 4.082e-04, eta: 3:26:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 1.3105, loss: 1.3105 +2025-06-04 18:35:15,175 - pyskl - INFO - Epoch [138][1900/2353] lr: 4.054e-04, eta: 3:25:55, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3117, loss: 1.3117 +2025-06-04 18:35:58,366 - pyskl - INFO - Epoch [138][2000/2353] lr: 4.026e-04, eta: 3:25:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.3031, loss: 1.3031 +2025-06-04 18:36:41,596 - pyskl - INFO - Epoch [138][2100/2353] lr: 3.998e-04, eta: 3:24:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3126, loss: 1.3126 +2025-06-04 18:37:24,798 - pyskl - INFO - Epoch [138][2200/2353] lr: 3.970e-04, eta: 3:23:46, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2949, loss: 1.2949 +2025-06-04 18:38:08,040 - pyskl - INFO - Epoch [138][2300/2353] lr: 3.942e-04, eta: 3:23:03, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 1.3173, loss: 1.3173 +2025-06-04 18:38:31,450 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-06-04 18:39:56,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 18:39:56,754 - pyskl - INFO - +top1_acc 0.9676 +top5_acc 0.9961 +2025-06-04 18:39:56,808 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_136.pth was removed +2025-06-04 18:39:57,888 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2025-06-04 18:39:57,889 - pyskl - INFO - Best top1_acc is 0.9676 at 138 epoch. +2025-06-04 18:39:57,892 - pyskl - INFO - Epoch(val) [138][1184] top1_acc: 0.9676, top5_acc: 0.9961 +2025-06-04 18:41:01,807 - pyskl - INFO - Epoch [139][100/2353] lr: 3.900e-04, eta: 3:21:57, time: 0.639, data_time: 0.207, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.3166, loss: 1.3166 +2025-06-04 18:41:45,051 - pyskl - INFO - Epoch [139][200/2353] lr: 3.872e-04, eta: 3:21:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2515, loss: 1.2515 +2025-06-04 18:42:28,194 - pyskl - INFO - Epoch [139][300/2353] lr: 3.845e-04, eta: 3:20:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2648, loss: 1.2648 +2025-06-04 18:43:11,374 - pyskl - INFO - Epoch [139][400/2353] lr: 3.817e-04, eta: 3:19:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3364, loss: 1.3364 +2025-06-04 18:43:54,844 - pyskl - INFO - Epoch [139][500/2353] lr: 3.790e-04, eta: 3:19:05, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 1.2320, loss: 1.2320 +2025-06-04 18:44:38,347 - pyskl - INFO - Epoch [139][600/2353] lr: 3.763e-04, eta: 3:18:22, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.3015, loss: 1.3015 +2025-06-04 18:45:21,464 - pyskl - INFO - Epoch [139][700/2353] lr: 3.736e-04, eta: 3:17:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2791, loss: 1.2791 +2025-06-04 18:46:04,599 - pyskl - INFO - Epoch [139][800/2353] lr: 3.709e-04, eta: 3:16:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2864, loss: 1.2864 +2025-06-04 18:46:47,798 - pyskl - INFO - Epoch [139][900/2353] lr: 3.682e-04, eta: 3:16:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2831, loss: 1.2831 +2025-06-04 18:47:30,843 - pyskl - INFO - Epoch [139][1000/2353] lr: 3.655e-04, eta: 3:15:30, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.3090, loss: 1.3090 +2025-06-04 18:48:14,017 - pyskl - INFO - Epoch [139][1100/2353] lr: 3.629e-04, eta: 3:14:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.3333, loss: 1.3333 +2025-06-04 18:48:57,277 - pyskl - INFO - Epoch [139][1200/2353] lr: 3.602e-04, eta: 3:14:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2723, loss: 1.2723 +2025-06-04 18:49:40,748 - pyskl - INFO - Epoch [139][1300/2353] lr: 3.576e-04, eta: 3:13:20, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2777, loss: 1.2777 +2025-06-04 18:50:24,135 - pyskl - INFO - Epoch [139][1400/2353] lr: 3.549e-04, eta: 3:12:37, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2924, loss: 1.2924 +2025-06-04 18:51:07,061 - pyskl - INFO - Epoch [139][1500/2353] lr: 3.523e-04, eta: 3:11:54, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2722, loss: 1.2722 +2025-06-04 18:51:50,236 - pyskl - INFO - Epoch [139][1600/2353] lr: 3.497e-04, eta: 3:11:11, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.2439, loss: 1.2439 +2025-06-04 18:52:33,474 - pyskl - INFO - Epoch [139][1700/2353] lr: 3.471e-04, eta: 3:10:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 1.3270, loss: 1.3270 +2025-06-04 18:53:16,801 - pyskl - INFO - Epoch [139][1800/2353] lr: 3.445e-04, eta: 3:09:45, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2558, loss: 1.2558 +2025-06-04 18:54:00,117 - pyskl - INFO - Epoch [139][1900/2353] lr: 3.419e-04, eta: 3:09:02, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 1.2792, loss: 1.2792 +2025-06-04 18:54:43,211 - pyskl - INFO - Epoch [139][2000/2353] lr: 3.393e-04, eta: 3:08:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2781, loss: 1.2781 +2025-06-04 18:55:26,338 - pyskl - INFO - Epoch [139][2100/2353] lr: 3.367e-04, eta: 3:07:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2848, loss: 1.2848 +2025-06-04 18:56:09,428 - pyskl - INFO - Epoch [139][2200/2353] lr: 3.342e-04, eta: 3:06:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.3260, loss: 1.3260 +2025-06-04 18:56:52,522 - pyskl - INFO - Epoch [139][2300/2353] lr: 3.316e-04, eta: 3:06:10, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2397, loss: 1.2397 +2025-06-04 18:57:15,943 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-06-04 18:58:41,327 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 18:58:41,403 - pyskl - INFO - +top1_acc 0.9681 +top5_acc 0.9962 +2025-06-04 18:58:41,462 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_138.pth was removed +2025-06-04 18:58:42,493 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2025-06-04 18:58:42,494 - pyskl - INFO - Best top1_acc is 0.9681 at 139 epoch. +2025-06-04 18:58:42,497 - pyskl - INFO - Epoch(val) [139][1184] top1_acc: 0.9681, top5_acc: 0.9962 +2025-06-04 18:59:46,552 - pyskl - INFO - Epoch [140][100/2353] lr: 3.278e-04, eta: 3:05:04, time: 0.641, data_time: 0.209, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.3699, loss: 1.3699 +2025-06-04 19:00:29,623 - pyskl - INFO - Epoch [140][200/2353] lr: 3.252e-04, eta: 3:04:21, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.3119, loss: 1.3119 +2025-06-04 19:01:12,708 - pyskl - INFO - Epoch [140][300/2353] lr: 3.227e-04, eta: 3:03:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.3168, loss: 1.3168 +2025-06-04 19:01:55,861 - pyskl - INFO - Epoch [140][400/2353] lr: 3.202e-04, eta: 3:02:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 1.3669, loss: 1.3669 +2025-06-04 19:02:39,346 - pyskl - INFO - Epoch [140][500/2353] lr: 3.177e-04, eta: 3:02:12, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2726, loss: 1.2726 +2025-06-04 19:03:22,758 - pyskl - INFO - Epoch [140][600/2353] lr: 3.152e-04, eta: 3:01:29, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2934, loss: 1.2934 +2025-06-04 19:04:06,073 - pyskl - INFO - Epoch [140][700/2353] lr: 3.127e-04, eta: 3:00:46, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2721, loss: 1.2721 +2025-06-04 19:04:49,223 - pyskl - INFO - Epoch [140][800/2353] lr: 3.103e-04, eta: 3:00:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2788, loss: 1.2788 +2025-06-04 19:05:32,296 - pyskl - INFO - Epoch [140][900/2353] lr: 3.078e-04, eta: 2:59:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.3031, loss: 1.3031 +2025-06-04 19:06:15,390 - pyskl - INFO - Epoch [140][1000/2353] lr: 3.054e-04, eta: 2:58:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.2982, loss: 1.2982 +2025-06-04 19:06:58,423 - pyskl - INFO - Epoch [140][1100/2353] lr: 3.029e-04, eta: 2:57:53, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2811, loss: 1.2811 +2025-06-04 19:07:41,442 - pyskl - INFO - Epoch [140][1200/2353] lr: 3.005e-04, eta: 2:57:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2393, loss: 1.2393 +2025-06-04 19:08:24,498 - pyskl - INFO - Epoch [140][1300/2353] lr: 2.981e-04, eta: 2:56:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 1.2370, loss: 1.2370 +2025-06-04 19:09:07,586 - pyskl - INFO - Epoch [140][1400/2353] lr: 2.957e-04, eta: 2:55:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2611, loss: 1.2611 +2025-06-04 19:09:50,666 - pyskl - INFO - Epoch [140][1500/2353] lr: 2.933e-04, eta: 2:55:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2414, loss: 1.2414 +2025-06-04 19:10:33,647 - pyskl - INFO - Epoch [140][1600/2353] lr: 2.909e-04, eta: 2:54:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 1.2829, loss: 1.2829 +2025-06-04 19:11:16,675 - pyskl - INFO - Epoch [140][1700/2353] lr: 2.885e-04, eta: 2:53:35, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.3302, loss: 1.3302 +2025-06-04 19:11:59,647 - pyskl - INFO - Epoch [140][1800/2353] lr: 2.861e-04, eta: 2:52:52, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 1.3025, loss: 1.3025 +2025-06-04 19:12:42,701 - pyskl - INFO - Epoch [140][1900/2353] lr: 2.838e-04, eta: 2:52:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2771, loss: 1.2771 +2025-06-04 19:13:25,835 - pyskl - INFO - Epoch [140][2000/2353] lr: 2.814e-04, eta: 2:51:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2261, loss: 1.2261 +2025-06-04 19:14:08,846 - pyskl - INFO - Epoch [140][2100/2353] lr: 2.791e-04, eta: 2:50:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.3281, loss: 1.3281 +2025-06-04 19:14:51,883 - pyskl - INFO - Epoch [140][2200/2353] lr: 2.767e-04, eta: 2:49:59, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2704, loss: 1.2704 +2025-06-04 19:15:35,010 - pyskl - INFO - Epoch [140][2300/2353] lr: 2.744e-04, eta: 2:49:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2303, loss: 1.2303 +2025-06-04 19:15:58,403 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-06-04 19:25:15,254 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 19:25:15,328 - pyskl - INFO - +top1_acc 0.9673 +top5_acc 0.9955 +2025-06-04 19:25:15,331 - pyskl - INFO - Epoch(val) [140][1184] top1_acc: 0.9673, top5_acc: 0.9955 +2025-06-04 19:26:18,596 - pyskl - INFO - Epoch [141][100/2353] lr: 2.709e-04, eta: 2:48:10, time: 0.633, data_time: 0.204, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.3091, loss: 1.3091 +2025-06-04 19:27:01,579 - pyskl - INFO - Epoch [141][200/2353] lr: 2.686e-04, eta: 2:47:27, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2677, loss: 1.2677 +2025-06-04 19:27:44,535 - pyskl - INFO - Epoch [141][300/2353] lr: 2.663e-04, eta: 2:46:44, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2877, loss: 1.2877 +2025-06-04 19:28:27,631 - pyskl - INFO - Epoch [141][400/2353] lr: 2.640e-04, eta: 2:46:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9981, loss_cls: 1.2625, loss: 1.2625 +2025-06-04 19:29:10,858 - pyskl - INFO - Epoch [141][500/2353] lr: 2.617e-04, eta: 2:45:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.3037, loss: 1.3037 +2025-06-04 19:29:54,023 - pyskl - INFO - Epoch [141][600/2353] lr: 2.595e-04, eta: 2:44:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2846, loss: 1.2846 +2025-06-04 19:30:37,263 - pyskl - INFO - Epoch [141][700/2353] lr: 2.572e-04, eta: 2:43:52, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2636, loss: 1.2636 +2025-06-04 19:31:20,391 - pyskl - INFO - Epoch [141][800/2353] lr: 2.550e-04, eta: 2:43:09, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2446, loss: 1.2446 +2025-06-04 19:32:03,552 - pyskl - INFO - Epoch [141][900/2353] lr: 2.528e-04, eta: 2:42:26, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2805, loss: 1.2805 +2025-06-04 19:32:46,648 - pyskl - INFO - Epoch [141][1000/2353] lr: 2.505e-04, eta: 2:41:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2495, loss: 1.2495 +2025-06-04 19:33:29,871 - pyskl - INFO - Epoch [141][1100/2353] lr: 2.483e-04, eta: 2:41:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2904, loss: 1.2904 +2025-06-04 19:34:12,996 - pyskl - INFO - Epoch [141][1200/2353] lr: 2.461e-04, eta: 2:40:17, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 1.2763, loss: 1.2763 +2025-06-04 19:34:56,113 - pyskl - INFO - Epoch [141][1300/2353] lr: 2.439e-04, eta: 2:39:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2520, loss: 1.2520 +2025-06-04 19:35:39,187 - pyskl - INFO - Epoch [141][1400/2353] lr: 2.417e-04, eta: 2:38:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2515, loss: 1.2515 +2025-06-04 19:36:22,298 - pyskl - INFO - Epoch [141][1500/2353] lr: 2.396e-04, eta: 2:38:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 1.2585, loss: 1.2585 +2025-06-04 19:37:05,348 - pyskl - INFO - Epoch [141][1600/2353] lr: 2.374e-04, eta: 2:37:24, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2563, loss: 1.2563 +2025-06-04 19:37:48,391 - pyskl - INFO - Epoch [141][1700/2353] lr: 2.353e-04, eta: 2:36:41, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2552, loss: 1.2552 +2025-06-04 19:38:31,401 - pyskl - INFO - Epoch [141][1800/2353] lr: 2.331e-04, eta: 2:35:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2701, loss: 1.2701 +2025-06-04 19:39:14,425 - pyskl - INFO - Epoch [141][1900/2353] lr: 2.310e-04, eta: 2:35:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.1856, loss: 1.1856 +2025-06-04 19:39:57,499 - pyskl - INFO - Epoch [141][2000/2353] lr: 2.289e-04, eta: 2:34:32, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2738, loss: 1.2738 +2025-06-04 19:40:40,524 - pyskl - INFO - Epoch [141][2100/2353] lr: 2.267e-04, eta: 2:33:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2544, loss: 1.2544 +2025-06-04 19:41:23,608 - pyskl - INFO - Epoch [141][2200/2353] lr: 2.246e-04, eta: 2:33:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2629, loss: 1.2629 +2025-06-04 19:42:06,648 - pyskl - INFO - Epoch [141][2300/2353] lr: 2.225e-04, eta: 2:32:23, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2474, loss: 1.2474 +2025-06-04 19:42:29,964 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-06-04 19:43:55,379 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 19:43:55,456 - pyskl - INFO - +top1_acc 0.9670 +top5_acc 0.9956 +2025-06-04 19:43:55,459 - pyskl - INFO - Epoch(val) [141][1184] top1_acc: 0.9670, top5_acc: 0.9956 +2025-06-04 19:44:59,072 - pyskl - INFO - Epoch [142][100/2353] lr: 2.194e-04, eta: 2:31:17, time: 0.636, data_time: 0.205, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2214, loss: 1.2214 +2025-06-04 19:45:42,178 - pyskl - INFO - Epoch [142][200/2353] lr: 2.173e-04, eta: 2:30:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2359, loss: 1.2359 +2025-06-04 19:46:25,271 - pyskl - INFO - Epoch [142][300/2353] lr: 2.152e-04, eta: 2:29:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2870, loss: 1.2870 +2025-06-04 19:47:08,285 - pyskl - INFO - Epoch [142][400/2353] lr: 2.132e-04, eta: 2:29:08, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 1.2948, loss: 1.2948 +2025-06-04 19:47:51,584 - pyskl - INFO - Epoch [142][500/2353] lr: 2.111e-04, eta: 2:28:25, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 1.2657, loss: 1.2657 +2025-06-04 19:48:34,952 - pyskl - INFO - Epoch [142][600/2353] lr: 2.091e-04, eta: 2:27:42, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2598, loss: 1.2598 +2025-06-04 19:49:18,183 - pyskl - INFO - Epoch [142][700/2353] lr: 2.071e-04, eta: 2:26:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2314, loss: 1.2314 +2025-06-04 19:50:01,432 - pyskl - INFO - Epoch [142][800/2353] lr: 2.051e-04, eta: 2:26:15, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2110, loss: 1.2110 +2025-06-04 19:50:44,613 - pyskl - INFO - Epoch [142][900/2353] lr: 2.031e-04, eta: 2:25:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2231, loss: 1.2231 +2025-06-04 19:51:27,788 - pyskl - INFO - Epoch [142][1000/2353] lr: 2.011e-04, eta: 2:24:49, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2715, loss: 1.2715 +2025-06-04 19:52:10,940 - pyskl - INFO - Epoch [142][1100/2353] lr: 1.991e-04, eta: 2:24:06, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 1.3114, loss: 1.3114 +2025-06-04 19:52:54,078 - pyskl - INFO - Epoch [142][1200/2353] lr: 1.971e-04, eta: 2:23:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2354, loss: 1.2354 +2025-06-04 19:53:37,259 - pyskl - INFO - Epoch [142][1300/2353] lr: 1.951e-04, eta: 2:22:40, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2610, loss: 1.2610 +2025-06-04 19:54:20,554 - pyskl - INFO - Epoch [142][1400/2353] lr: 1.932e-04, eta: 2:21:57, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2506, loss: 1.2506 +2025-06-04 19:55:03,787 - pyskl - INFO - Epoch [142][1500/2353] lr: 1.913e-04, eta: 2:21:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2304, loss: 1.2304 +2025-06-04 19:55:46,887 - pyskl - INFO - Epoch [142][1600/2353] lr: 1.893e-04, eta: 2:20:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2588, loss: 1.2588 +2025-06-04 19:56:29,951 - pyskl - INFO - Epoch [142][1700/2353] lr: 1.874e-04, eta: 2:19:48, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2526, loss: 1.2526 +2025-06-04 19:57:12,860 - pyskl - INFO - Epoch [142][1800/2353] lr: 1.855e-04, eta: 2:19:05, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.2711, loss: 1.2711 +2025-06-04 19:57:55,741 - pyskl - INFO - Epoch [142][1900/2353] lr: 1.836e-04, eta: 2:18:22, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2697, loss: 1.2697 +2025-06-04 19:58:38,831 - pyskl - INFO - Epoch [142][2000/2353] lr: 1.817e-04, eta: 2:17:39, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2481, loss: 1.2481 +2025-06-04 19:59:21,947 - pyskl - INFO - Epoch [142][2100/2353] lr: 1.798e-04, eta: 2:16:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2688, loss: 1.2688 +2025-06-04 20:00:05,019 - pyskl - INFO - Epoch [142][2200/2353] lr: 1.779e-04, eta: 2:16:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 1.2479, loss: 1.2479 +2025-06-04 20:00:48,136 - pyskl - INFO - Epoch [142][2300/2353] lr: 1.761e-04, eta: 2:15:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2615, loss: 1.2615 +2025-06-04 20:01:11,596 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-06-04 20:02:36,953 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 20:02:37,028 - pyskl - INFO - +top1_acc 0.9675 +top5_acc 0.9959 +2025-06-04 20:02:37,031 - pyskl - INFO - Epoch(val) [142][1184] top1_acc: 0.9675, top5_acc: 0.9959 +2025-06-04 20:03:40,751 - pyskl - INFO - Epoch [143][100/2353] lr: 1.732e-04, eta: 2:14:23, time: 0.637, data_time: 0.206, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2664, loss: 1.2664 +2025-06-04 20:04:23,778 - pyskl - INFO - Epoch [143][200/2353] lr: 1.714e-04, eta: 2:13:40, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2891, loss: 1.2891 +2025-06-04 20:05:06,827 - pyskl - INFO - Epoch [143][300/2353] lr: 1.695e-04, eta: 2:12:57, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2889, loss: 1.2889 +2025-06-04 20:05:50,035 - pyskl - INFO - Epoch [143][400/2353] lr: 1.677e-04, eta: 2:12:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2789, loss: 1.2789 +2025-06-04 20:06:33,363 - pyskl - INFO - Epoch [143][500/2353] lr: 1.659e-04, eta: 2:11:31, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2267, loss: 1.2267 +2025-06-04 20:07:16,607 - pyskl - INFO - Epoch [143][600/2353] lr: 1.641e-04, eta: 2:10:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 1.2768, loss: 1.2768 +2025-06-04 20:07:59,855 - pyskl - INFO - Epoch [143][700/2353] lr: 1.623e-04, eta: 2:10:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2439, loss: 1.2439 +2025-06-04 20:08:43,044 - pyskl - INFO - Epoch [143][800/2353] lr: 1.605e-04, eta: 2:09:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2572, loss: 1.2572 +2025-06-04 20:09:26,315 - pyskl - INFO - Epoch [143][900/2353] lr: 1.588e-04, eta: 2:08:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2349, loss: 1.2349 +2025-06-04 20:10:09,540 - pyskl - INFO - Epoch [143][1000/2353] lr: 1.570e-04, eta: 2:07:56, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2788, loss: 1.2788 +2025-06-04 20:10:52,792 - pyskl - INFO - Epoch [143][1100/2353] lr: 1.552e-04, eta: 2:07:13, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.1819, loss: 1.1819 +2025-06-04 20:11:36,086 - pyskl - INFO - Epoch [143][1200/2353] lr: 1.535e-04, eta: 2:06:30, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2443, loss: 1.2443 +2025-06-04 20:12:19,298 - pyskl - INFO - Epoch [143][1300/2353] lr: 1.518e-04, eta: 2:05:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 1.2843, loss: 1.2843 +2025-06-04 20:13:02,540 - pyskl - INFO - Epoch [143][1400/2353] lr: 1.500e-04, eta: 2:05:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2450, loss: 1.2450 +2025-06-04 20:13:45,751 - pyskl - INFO - Epoch [143][1500/2353] lr: 1.483e-04, eta: 2:04:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2398, loss: 1.2398 +2025-06-04 20:14:28,850 - pyskl - INFO - Epoch [143][1600/2353] lr: 1.466e-04, eta: 2:03:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2087, loss: 1.2087 +2025-06-04 20:15:12,019 - pyskl - INFO - Epoch [143][1700/2353] lr: 1.449e-04, eta: 2:02:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2085, loss: 1.2085 +2025-06-04 20:15:55,287 - pyskl - INFO - Epoch [143][1800/2353] lr: 1.433e-04, eta: 2:02:11, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2783, loss: 1.2783 +2025-06-04 20:16:38,574 - pyskl - INFO - Epoch [143][1900/2353] lr: 1.416e-04, eta: 2:01:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2655, loss: 1.2655 +2025-06-04 20:17:21,820 - pyskl - INFO - Epoch [143][2000/2353] lr: 1.399e-04, eta: 2:00:45, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2800, loss: 1.2800 +2025-06-04 20:18:05,051 - pyskl - INFO - Epoch [143][2100/2353] lr: 1.383e-04, eta: 2:00:02, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2378, loss: 1.2378 +2025-06-04 20:18:48,318 - pyskl - INFO - Epoch [143][2200/2353] lr: 1.366e-04, eta: 1:59:19, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2494, loss: 1.2494 +2025-06-04 20:19:31,464 - pyskl - INFO - Epoch [143][2300/2353] lr: 1.350e-04, eta: 1:58:36, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2134, loss: 1.2134 +2025-06-04 20:19:54,922 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-06-04 20:21:20,482 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 20:21:20,558 - pyskl - INFO - +top1_acc 0.9577 +top5_acc 0.9939 +2025-06-04 20:21:20,561 - pyskl - INFO - Epoch(val) [143][1184] top1_acc: 0.9577, top5_acc: 0.9939 +2025-06-04 20:22:24,441 - pyskl - INFO - Epoch [144][100/2353] lr: 1.325e-04, eta: 1:57:30, time: 0.639, data_time: 0.208, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2624, loss: 1.2624 +2025-06-04 20:23:07,546 - pyskl - INFO - Epoch [144][200/2353] lr: 1.309e-04, eta: 1:56:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 1.2924, loss: 1.2924 +2025-06-04 20:23:50,669 - pyskl - INFO - Epoch [144][300/2353] lr: 1.293e-04, eta: 1:56:04, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2298, loss: 1.2298 +2025-06-04 20:24:33,882 - pyskl - INFO - Epoch [144][400/2353] lr: 1.277e-04, eta: 1:55:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2232, loss: 1.2232 +2025-06-04 20:25:17,150 - pyskl - INFO - Epoch [144][500/2353] lr: 1.261e-04, eta: 1:54:38, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2510, loss: 1.2510 +2025-06-04 20:26:00,368 - pyskl - INFO - Epoch [144][600/2353] lr: 1.245e-04, eta: 1:53:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2340, loss: 1.2340 +2025-06-04 20:26:43,488 - pyskl - INFO - Epoch [144][700/2353] lr: 1.230e-04, eta: 1:53:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 1.2383, loss: 1.2383 +2025-06-04 20:27:26,577 - pyskl - INFO - Epoch [144][800/2353] lr: 1.214e-04, eta: 1:52:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2457, loss: 1.2457 +2025-06-04 20:28:09,657 - pyskl - INFO - Epoch [144][900/2353] lr: 1.199e-04, eta: 1:51:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2123, loss: 1.2123 +2025-06-04 20:28:52,752 - pyskl - INFO - Epoch [144][1000/2353] lr: 1.183e-04, eta: 1:51:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2321, loss: 1.2321 +2025-06-04 20:29:35,883 - pyskl - INFO - Epoch [144][1100/2353] lr: 1.168e-04, eta: 1:50:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.1847, loss: 1.1847 +2025-06-04 20:30:19,045 - pyskl - INFO - Epoch [144][1200/2353] lr: 1.153e-04, eta: 1:49:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2243, loss: 1.2243 +2025-06-04 20:31:02,163 - pyskl - INFO - Epoch [144][1300/2353] lr: 1.138e-04, eta: 1:48:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9988, loss_cls: 1.2489, loss: 1.2489 +2025-06-04 20:31:45,169 - pyskl - INFO - Epoch [144][1400/2353] lr: 1.123e-04, eta: 1:48:10, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2880, loss: 1.2880 +2025-06-04 20:32:28,287 - pyskl - INFO - Epoch [144][1500/2353] lr: 1.108e-04, eta: 1:47:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2124, loss: 1.2124 +2025-06-04 20:33:11,381 - pyskl - INFO - Epoch [144][1600/2353] lr: 1.094e-04, eta: 1:46:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2192, loss: 1.2192 +2025-06-04 20:33:54,489 - pyskl - INFO - Epoch [144][1700/2353] lr: 1.079e-04, eta: 1:46:01, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.2766, loss: 1.2766 +2025-06-04 20:34:37,512 - pyskl - INFO - Epoch [144][1800/2353] lr: 1.064e-04, eta: 1:45:18, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2834, loss: 1.2834 +2025-06-04 20:35:20,621 - pyskl - INFO - Epoch [144][1900/2353] lr: 1.050e-04, eta: 1:44:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2608, loss: 1.2608 +2025-06-04 20:36:03,940 - pyskl - INFO - Epoch [144][2000/2353] lr: 1.036e-04, eta: 1:43:52, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2580, loss: 1.2580 +2025-06-04 20:36:47,168 - pyskl - INFO - Epoch [144][2100/2353] lr: 1.021e-04, eta: 1:43:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2537, loss: 1.2537 +2025-06-04 20:37:30,302 - pyskl - INFO - Epoch [144][2200/2353] lr: 1.007e-04, eta: 1:42:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.1904, loss: 1.1904 +2025-06-04 20:38:13,374 - pyskl - INFO - Epoch [144][2300/2353] lr: 9.932e-05, eta: 1:41:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2244, loss: 1.2244 +2025-06-04 20:38:36,911 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-06-04 20:40:02,239 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 20:40:02,314 - pyskl - INFO - +top1_acc 0.9677 +top5_acc 0.9960 +2025-06-04 20:40:02,317 - pyskl - INFO - Epoch(val) [144][1184] top1_acc: 0.9677, top5_acc: 0.9960 +2025-06-04 20:41:06,347 - pyskl - INFO - Epoch [145][100/2353] lr: 9.719e-05, eta: 1:40:37, time: 0.640, data_time: 0.207, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 1.2721, loss: 1.2721 +2025-06-04 20:41:49,531 - pyskl - INFO - Epoch [145][200/2353] lr: 9.581e-05, eta: 1:39:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.1909, loss: 1.1909 +2025-06-04 20:42:32,574 - pyskl - INFO - Epoch [145][300/2353] lr: 9.444e-05, eta: 1:39:11, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2612, loss: 1.2612 +2025-06-04 20:43:15,755 - pyskl - INFO - Epoch [145][400/2353] lr: 9.308e-05, eta: 1:38:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2306, loss: 1.2306 +2025-06-04 20:43:58,979 - pyskl - INFO - Epoch [145][500/2353] lr: 9.173e-05, eta: 1:37:44, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2464, loss: 1.2464 +2025-06-04 20:44:42,162 - pyskl - INFO - Epoch [145][600/2353] lr: 9.039e-05, eta: 1:37:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2152, loss: 1.2152 +2025-06-04 20:45:25,326 - pyskl - INFO - Epoch [145][700/2353] lr: 8.906e-05, eta: 1:36:18, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2149, loss: 1.2149 +2025-06-04 20:46:08,523 - pyskl - INFO - Epoch [145][800/2353] lr: 8.774e-05, eta: 1:35:35, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2612, loss: 1.2612 +2025-06-04 20:46:51,596 - pyskl - INFO - Epoch [145][900/2353] lr: 8.643e-05, eta: 1:34:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2448, loss: 1.2448 +2025-06-04 20:47:34,774 - pyskl - INFO - Epoch [145][1000/2353] lr: 8.513e-05, eta: 1:34:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2573, loss: 1.2573 +2025-06-04 20:48:17,867 - pyskl - INFO - Epoch [145][1100/2353] lr: 8.383e-05, eta: 1:33:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2230, loss: 1.2230 +2025-06-04 20:49:00,901 - pyskl - INFO - Epoch [145][1200/2353] lr: 8.255e-05, eta: 1:32:43, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2383, loss: 1.2383 +2025-06-04 20:49:43,933 - pyskl - INFO - Epoch [145][1300/2353] lr: 8.128e-05, eta: 1:32:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2557, loss: 1.2557 +2025-06-04 20:50:26,980 - pyskl - INFO - Epoch [145][1400/2353] lr: 8.002e-05, eta: 1:31:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2314, loss: 1.2314 +2025-06-04 20:51:10,092 - pyskl - INFO - Epoch [145][1500/2353] lr: 7.877e-05, eta: 1:30:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2240, loss: 1.2240 +2025-06-04 20:51:53,190 - pyskl - INFO - Epoch [145][1600/2353] lr: 7.753e-05, eta: 1:29:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2427, loss: 1.2427 +2025-06-04 20:52:36,311 - pyskl - INFO - Epoch [145][1700/2353] lr: 7.629e-05, eta: 1:29:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.1932, loss: 1.1932 +2025-06-04 20:53:19,235 - pyskl - INFO - Epoch [145][1800/2353] lr: 7.507e-05, eta: 1:28:25, time: 0.429, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2084, loss: 1.2084 +2025-06-04 20:54:02,269 - pyskl - INFO - Epoch [145][1900/2353] lr: 7.386e-05, eta: 1:27:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2492, loss: 1.2492 +2025-06-04 20:54:45,251 - pyskl - INFO - Epoch [145][2000/2353] lr: 7.266e-05, eta: 1:26:58, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2344, loss: 1.2344 +2025-06-04 20:55:28,261 - pyskl - INFO - Epoch [145][2100/2353] lr: 7.146e-05, eta: 1:26:15, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.1988, loss: 1.1988 +2025-06-04 20:56:11,286 - pyskl - INFO - Epoch [145][2200/2353] lr: 7.028e-05, eta: 1:25:32, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2557, loss: 1.2557 +2025-06-04 20:56:54,271 - pyskl - INFO - Epoch [145][2300/2353] lr: 6.911e-05, eta: 1:24:49, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2293, loss: 1.2293 +2025-06-04 20:57:17,622 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-06-04 21:06:06,434 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 21:06:06,510 - pyskl - INFO - +top1_acc 0.9679 +top5_acc 0.9958 +2025-06-04 21:06:06,513 - pyskl - INFO - Epoch(val) [145][1184] top1_acc: 0.9679, top5_acc: 0.9958 +2025-06-04 21:07:09,962 - pyskl - INFO - Epoch [146][100/2353] lr: 6.733e-05, eta: 1:23:43, time: 0.634, data_time: 0.205, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2787, loss: 1.2787 +2025-06-04 21:07:52,933 - pyskl - INFO - Epoch [146][200/2353] lr: 6.618e-05, eta: 1:23:00, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2440, loss: 1.2440 +2025-06-04 21:08:35,929 - pyskl - INFO - Epoch [146][300/2353] lr: 6.504e-05, eta: 1:22:17, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2674, loss: 1.2674 +2025-06-04 21:09:19,040 - pyskl - INFO - Epoch [146][400/2353] lr: 6.391e-05, eta: 1:21:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2280, loss: 1.2280 +2025-06-04 21:10:02,355 - pyskl - INFO - Epoch [146][500/2353] lr: 6.280e-05, eta: 1:20:51, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2149, loss: 1.2149 +2025-06-04 21:10:45,618 - pyskl - INFO - Epoch [146][600/2353] lr: 6.169e-05, eta: 1:20:08, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.2643, loss: 1.2643 +2025-06-04 21:11:28,821 - pyskl - INFO - Epoch [146][700/2353] lr: 6.059e-05, eta: 1:19:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2335, loss: 1.2335 +2025-06-04 21:12:11,835 - pyskl - INFO - Epoch [146][800/2353] lr: 5.950e-05, eta: 1:18:42, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2503, loss: 1.2503 +2025-06-04 21:12:54,979 - pyskl - INFO - Epoch [146][900/2353] lr: 5.842e-05, eta: 1:17:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2553, loss: 1.2553 +2025-06-04 21:13:38,116 - pyskl - INFO - Epoch [146][1000/2353] lr: 5.735e-05, eta: 1:17:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2289, loss: 1.2289 +2025-06-04 21:14:21,444 - pyskl - INFO - Epoch [146][1100/2353] lr: 5.629e-05, eta: 1:16:33, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2386, loss: 1.2386 +2025-06-04 21:15:04,621 - pyskl - INFO - Epoch [146][1200/2353] lr: 5.524e-05, eta: 1:15:50, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2484, loss: 1.2484 +2025-06-04 21:15:47,750 - pyskl - INFO - Epoch [146][1300/2353] lr: 5.420e-05, eta: 1:15:06, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2211, loss: 1.2211 +2025-06-04 21:16:30,874 - pyskl - INFO - Epoch [146][1400/2353] lr: 5.317e-05, eta: 1:14:23, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2666, loss: 1.2666 +2025-06-04 21:17:14,016 - pyskl - INFO - Epoch [146][1500/2353] lr: 5.215e-05, eta: 1:13:40, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2162, loss: 1.2162 +2025-06-04 21:17:57,190 - pyskl - INFO - Epoch [146][1600/2353] lr: 5.114e-05, eta: 1:12:57, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 1.2522, loss: 1.2522 +2025-06-04 21:18:40,423 - pyskl - INFO - Epoch [146][1700/2353] lr: 5.014e-05, eta: 1:12:14, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2399, loss: 1.2399 +2025-06-04 21:19:23,499 - pyskl - INFO - Epoch [146][1800/2353] lr: 4.915e-05, eta: 1:11:31, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2457, loss: 1.2457 +2025-06-04 21:20:06,720 - pyskl - INFO - Epoch [146][1900/2353] lr: 4.817e-05, eta: 1:10:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2018, loss: 1.2018 +2025-06-04 21:20:49,964 - pyskl - INFO - Epoch [146][2000/2353] lr: 4.720e-05, eta: 1:10:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2439, loss: 1.2439 +2025-06-04 21:21:33,117 - pyskl - INFO - Epoch [146][2100/2353] lr: 4.624e-05, eta: 1:09:22, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2239, loss: 1.2239 +2025-06-04 21:22:16,395 - pyskl - INFO - Epoch [146][2200/2353] lr: 4.528e-05, eta: 1:08:39, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2106, loss: 1.2106 +2025-06-04 21:22:59,510 - pyskl - INFO - Epoch [146][2300/2353] lr: 4.434e-05, eta: 1:07:56, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2881, loss: 1.2881 +2025-06-04 21:23:22,912 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-06-04 21:24:48,551 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 21:24:48,627 - pyskl - INFO - +top1_acc 0.9685 +top5_acc 0.9959 +2025-06-04 21:24:48,683 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl_mine/work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_139.pth was removed +2025-06-04 21:24:49,697 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_146.pth. +2025-06-04 21:24:49,698 - pyskl - INFO - Best top1_acc is 0.9685 at 146 epoch. +2025-06-04 21:24:49,701 - pyskl - INFO - Epoch(val) [146][1184] top1_acc: 0.9685, top5_acc: 0.9959 +2025-06-04 21:25:53,797 - pyskl - INFO - Epoch [147][100/2353] lr: 4.292e-05, eta: 1:06:50, time: 0.641, data_time: 0.208, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2563, loss: 1.2563 +2025-06-04 21:26:37,059 - pyskl - INFO - Epoch [147][200/2353] lr: 4.201e-05, eta: 1:06:07, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2720, loss: 1.2720 +2025-06-04 21:27:20,408 - pyskl - INFO - Epoch [147][300/2353] lr: 4.110e-05, eta: 1:05:24, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 1.2591, loss: 1.2591 +2025-06-04 21:28:03,772 - pyskl - INFO - Epoch [147][400/2353] lr: 4.020e-05, eta: 1:04:41, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2061, loss: 1.2061 +2025-06-04 21:28:47,087 - pyskl - INFO - Epoch [147][500/2353] lr: 3.932e-05, eta: 1:03:58, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 1.2290, loss: 1.2290 +2025-06-04 21:29:30,433 - pyskl - INFO - Epoch [147][600/2353] lr: 3.844e-05, eta: 1:03:15, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2288, loss: 1.2288 +2025-06-04 21:30:13,780 - pyskl - INFO - Epoch [147][700/2353] lr: 3.757e-05, eta: 1:02:32, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2338, loss: 1.2338 +2025-06-04 21:30:57,323 - pyskl - INFO - Epoch [147][800/2353] lr: 3.672e-05, eta: 1:01:48, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1965, loss: 1.1965 +2025-06-04 21:31:40,583 - pyskl - INFO - Epoch [147][900/2353] lr: 3.587e-05, eta: 1:01:05, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2439, loss: 1.2439 +2025-06-04 21:32:24,151 - pyskl - INFO - Epoch [147][1000/2353] lr: 3.503e-05, eta: 1:00:22, time: 0.436, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2162, loss: 1.2162 +2025-06-04 21:33:07,528 - pyskl - INFO - Epoch [147][1100/2353] lr: 3.420e-05, eta: 0:59:39, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2371, loss: 1.2371 +2025-06-04 21:33:50,792 - pyskl - INFO - Epoch [147][1200/2353] lr: 3.339e-05, eta: 0:58:56, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 1.2145, loss: 1.2145 +2025-06-04 21:34:34,001 - pyskl - INFO - Epoch [147][1300/2353] lr: 3.258e-05, eta: 0:58:13, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.2391, loss: 1.2391 +2025-06-04 21:35:17,210 - pyskl - INFO - Epoch [147][1400/2353] lr: 3.178e-05, eta: 0:57:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2349, loss: 1.2349 +2025-06-04 21:36:00,346 - pyskl - INFO - Epoch [147][1500/2353] lr: 3.099e-05, eta: 0:56:47, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 1.2346, loss: 1.2346 +2025-06-04 21:36:43,501 - pyskl - INFO - Epoch [147][1600/2353] lr: 3.021e-05, eta: 0:56:04, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 1.2310, loss: 1.2310 +2025-06-04 21:37:26,702 - pyskl - INFO - Epoch [147][1700/2353] lr: 2.945e-05, eta: 0:55:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2574, loss: 1.2574 +2025-06-04 21:38:09,802 - pyskl - INFO - Epoch [147][1800/2353] lr: 2.869e-05, eta: 0:54:38, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2343, loss: 1.2343 +2025-06-04 21:38:52,805 - pyskl - INFO - Epoch [147][1900/2353] lr: 2.794e-05, eta: 0:53:55, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2380, loss: 1.2380 +2025-06-04 21:39:35,927 - pyskl - INFO - Epoch [147][2000/2353] lr: 2.720e-05, eta: 0:53:12, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2199, loss: 1.2199 +2025-06-04 21:40:19,164 - pyskl - INFO - Epoch [147][2100/2353] lr: 2.647e-05, eta: 0:52:29, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2285, loss: 1.2285 +2025-06-04 21:41:02,298 - pyskl - INFO - Epoch [147][2200/2353] lr: 2.575e-05, eta: 0:51:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2408, loss: 1.2408 +2025-06-04 21:41:45,402 - pyskl - INFO - Epoch [147][2300/2353] lr: 2.504e-05, eta: 0:51:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.1941, loss: 1.1941 +2025-06-04 21:42:08,837 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-06-04 21:43:34,104 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 21:43:34,180 - pyskl - INFO - +top1_acc 0.9677 +top5_acc 0.9960 +2025-06-04 21:43:34,184 - pyskl - INFO - Epoch(val) [147][1184] top1_acc: 0.9677, top5_acc: 0.9960 +2025-06-04 21:44:37,944 - pyskl - INFO - Epoch [148][100/2353] lr: 2.398e-05, eta: 0:49:57, time: 0.638, data_time: 0.206, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9981, loss_cls: 1.2050, loss: 1.2050 +2025-06-04 21:45:21,056 - pyskl - INFO - Epoch [148][200/2353] lr: 2.330e-05, eta: 0:49:14, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2277, loss: 1.2277 +2025-06-04 21:46:04,236 - pyskl - INFO - Epoch [148][300/2353] lr: 2.262e-05, eta: 0:48:30, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 1.2607, loss: 1.2607 +2025-06-04 21:46:47,401 - pyskl - INFO - Epoch [148][400/2353] lr: 2.196e-05, eta: 0:47:47, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 1.2223, loss: 1.2223 +2025-06-04 21:47:30,652 - pyskl - INFO - Epoch [148][500/2353] lr: 2.130e-05, eta: 0:47:04, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2606, loss: 1.2606 +2025-06-04 21:48:13,877 - pyskl - INFO - Epoch [148][600/2353] lr: 2.066e-05, eta: 0:46:21, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.1907, loss: 1.1907 +2025-06-04 21:48:57,088 - pyskl - INFO - Epoch [148][700/2353] lr: 2.002e-05, eta: 0:45:38, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2266, loss: 1.2266 +2025-06-04 21:49:40,259 - pyskl - INFO - Epoch [148][800/2353] lr: 1.940e-05, eta: 0:44:55, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2034, loss: 1.2034 +2025-06-04 21:50:23,434 - pyskl - INFO - Epoch [148][900/2353] lr: 1.878e-05, eta: 0:44:12, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 1.2136, loss: 1.2136 +2025-06-04 21:51:06,560 - pyskl - INFO - Epoch [148][1000/2353] lr: 1.818e-05, eta: 0:43:29, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2391, loss: 1.2391 +2025-06-04 21:51:49,664 - pyskl - INFO - Epoch [148][1100/2353] lr: 1.759e-05, eta: 0:42:46, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2192, loss: 1.2192 +2025-06-04 21:52:32,781 - pyskl - INFO - Epoch [148][1200/2353] lr: 1.700e-05, eta: 0:42:03, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2086, loss: 1.2086 +2025-06-04 21:53:15,979 - pyskl - INFO - Epoch [148][1300/2353] lr: 1.642e-05, eta: 0:41:20, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2192, loss: 1.2192 +2025-06-04 21:53:59,026 - pyskl - INFO - Epoch [148][1400/2353] lr: 1.586e-05, eta: 0:40:37, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2356, loss: 1.2356 +2025-06-04 21:54:42,200 - pyskl - INFO - Epoch [148][1500/2353] lr: 1.530e-05, eta: 0:39:54, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2549, loss: 1.2549 +2025-06-04 21:55:25,541 - pyskl - INFO - Epoch [148][1600/2353] lr: 1.476e-05, eta: 0:39:11, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2389, loss: 1.2389 +2025-06-04 21:56:08,706 - pyskl - INFO - Epoch [148][1700/2353] lr: 1.422e-05, eta: 0:38:28, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 1.2575, loss: 1.2575 +2025-06-04 21:56:51,810 - pyskl - INFO - Epoch [148][1800/2353] lr: 1.370e-05, eta: 0:37:44, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2019, loss: 1.2019 +2025-06-04 21:57:34,994 - pyskl - INFO - Epoch [148][1900/2353] lr: 1.318e-05, eta: 0:37:01, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2354, loss: 1.2354 +2025-06-04 21:58:18,110 - pyskl - INFO - Epoch [148][2000/2353] lr: 1.268e-05, eta: 0:36:18, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2614, loss: 1.2614 +2025-06-04 21:59:01,234 - pyskl - INFO - Epoch [148][2100/2353] lr: 1.218e-05, eta: 0:35:35, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2284, loss: 1.2284 +2025-06-04 21:59:44,303 - pyskl - INFO - Epoch [148][2200/2353] lr: 1.169e-05, eta: 0:34:52, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2422, loss: 1.2422 +2025-06-04 22:00:27,326 - pyskl - INFO - Epoch [148][2300/2353] lr: 1.122e-05, eta: 0:34:09, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2511, loss: 1.2511 +2025-06-04 22:00:50,815 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-06-04 22:02:16,167 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 22:02:16,243 - pyskl - INFO - +top1_acc 0.9674 +top5_acc 0.9959 +2025-06-04 22:02:16,246 - pyskl - INFO - Epoch(val) [148][1184] top1_acc: 0.9674, top5_acc: 0.9959 +2025-06-04 22:03:20,343 - pyskl - INFO - Epoch [149][100/2353] lr: 1.051e-05, eta: 0:33:03, time: 0.641, data_time: 0.207, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 1.2478, loss: 1.2478 +2025-06-04 22:04:03,622 - pyskl - INFO - Epoch [149][200/2353] lr: 1.006e-05, eta: 0:32:20, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 1.2367, loss: 1.2367 +2025-06-04 22:04:46,827 - pyskl - INFO - Epoch [149][300/2353] lr: 9.616e-06, eta: 0:31:37, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2438, loss: 1.2438 +2025-06-04 22:05:30,185 - pyskl - INFO - Epoch [149][400/2353] lr: 9.184e-06, eta: 0:30:54, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2397, loss: 1.2397 +2025-06-04 22:06:13,331 - pyskl - INFO - Epoch [149][500/2353] lr: 8.763e-06, eta: 0:30:11, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2102, loss: 1.2102 +2025-06-04 22:06:56,590 - pyskl - INFO - Epoch [149][600/2353] lr: 8.351e-06, eta: 0:29:28, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 1.2614, loss: 1.2614 +2025-06-04 22:07:39,690 - pyskl - INFO - Epoch [149][700/2353] lr: 7.950e-06, eta: 0:28:45, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2177, loss: 1.2177 +2025-06-04 22:08:22,828 - pyskl - INFO - Epoch [149][800/2353] lr: 7.558e-06, eta: 0:28:02, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2446, loss: 1.2446 +2025-06-04 22:09:05,946 - pyskl - INFO - Epoch [149][900/2353] lr: 7.176e-06, eta: 0:27:19, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2503, loss: 1.2503 +2025-06-04 22:09:49,118 - pyskl - INFO - Epoch [149][1000/2353] lr: 6.804e-06, eta: 0:26:36, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2235, loss: 1.2235 +2025-06-04 22:10:32,243 - pyskl - INFO - Epoch [149][1100/2353] lr: 6.442e-06, eta: 0:25:53, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2655, loss: 1.2655 +2025-06-04 22:11:15,407 - pyskl - INFO - Epoch [149][1200/2353] lr: 6.090e-06, eta: 0:25:09, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2474, loss: 1.2474 +2025-06-04 22:11:58,513 - pyskl - INFO - Epoch [149][1300/2353] lr: 5.747e-06, eta: 0:24:26, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2223, loss: 1.2223 +2025-06-04 22:12:41,605 - pyskl - INFO - Epoch [149][1400/2353] lr: 5.415e-06, eta: 0:23:43, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2106, loss: 1.2106 +2025-06-04 22:13:24,822 - pyskl - INFO - Epoch [149][1500/2353] lr: 5.092e-06, eta: 0:23:00, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1988, loss: 1.1988 +2025-06-04 22:14:07,995 - pyskl - INFO - Epoch [149][1600/2353] lr: 4.780e-06, eta: 0:22:17, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 1.2309, loss: 1.2309 +2025-06-04 22:14:51,088 - pyskl - INFO - Epoch [149][1700/2353] lr: 4.477e-06, eta: 0:21:34, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2134, loss: 1.2134 +2025-06-04 22:15:34,094 - pyskl - INFO - Epoch [149][1800/2353] lr: 4.184e-06, eta: 0:20:51, time: 0.430, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 1.2301, loss: 1.2301 +2025-06-04 22:16:17,154 - pyskl - INFO - Epoch [149][1900/2353] lr: 3.901e-06, eta: 0:20:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2164, loss: 1.2164 +2025-06-04 22:17:00,331 - pyskl - INFO - Epoch [149][2000/2353] lr: 3.628e-06, eta: 0:19:25, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2307, loss: 1.2307 +2025-06-04 22:17:43,542 - pyskl - INFO - Epoch [149][2100/2353] lr: 3.365e-06, eta: 0:18:42, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2276, loss: 1.2276 +2025-06-04 22:18:26,818 - pyskl - INFO - Epoch [149][2200/2353] lr: 3.112e-06, eta: 0:17:59, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 1.2567, loss: 1.2567 +2025-06-04 22:19:09,994 - pyskl - INFO - Epoch [149][2300/2353] lr: 2.869e-06, eta: 0:17:16, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2195, loss: 1.2195 +2025-06-04 22:19:33,393 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-06-04 22:20:58,750 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 22:20:58,826 - pyskl - INFO - +top1_acc 0.9518 +top5_acc 0.9801 +2025-06-04 22:20:58,830 - pyskl - INFO - Epoch(val) [149][1184] top1_acc: 0.9518, top5_acc: 0.9801 +2025-06-04 22:22:02,936 - pyskl - INFO - Epoch [150][100/2353] lr: 2.516e-06, eta: 0:16:10, time: 0.641, data_time: 0.209, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2347, loss: 1.2347 +2025-06-04 22:22:46,068 - pyskl - INFO - Epoch [150][200/2353] lr: 2.297e-06, eta: 0:15:27, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 1.2556, loss: 1.2556 +2025-06-04 22:23:29,345 - pyskl - INFO - Epoch [150][300/2353] lr: 2.089e-06, eta: 0:14:44, time: 0.433, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2711, loss: 1.2711 +2025-06-04 22:24:12,702 - pyskl - INFO - Epoch [150][400/2353] lr: 1.891e-06, eta: 0:14:01, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.2161, loss: 1.2161 +2025-06-04 22:24:56,057 - pyskl - INFO - Epoch [150][500/2353] lr: 1.702e-06, eta: 0:13:18, time: 0.434, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 1.2872, loss: 1.2872 +2025-06-04 22:25:39,243 - pyskl - INFO - Epoch [150][600/2353] lr: 1.523e-06, eta: 0:12:34, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2298, loss: 1.2298 +2025-06-04 22:26:22,371 - pyskl - INFO - Epoch [150][700/2353] lr: 1.355e-06, eta: 0:11:51, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2094, loss: 1.2094 +2025-06-04 22:27:05,495 - pyskl - INFO - Epoch [150][800/2353] lr: 1.196e-06, eta: 0:11:08, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.2553, loss: 1.2553 +2025-06-04 22:27:48,611 - pyskl - INFO - Epoch [150][900/2353] lr: 1.047e-06, eta: 0:10:25, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2172, loss: 1.2172 +2025-06-04 22:28:31,712 - pyskl - INFO - Epoch [150][1000/2353] lr: 9.078e-07, eta: 0:09:42, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 1.1712, loss: 1.1712 +2025-06-04 22:29:14,823 - pyskl - INFO - Epoch [150][1100/2353] lr: 7.787e-07, eta: 0:08:59, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2185, loss: 1.2185 +2025-06-04 22:29:57,910 - pyskl - INFO - Epoch [150][1200/2353] lr: 6.594e-07, eta: 0:08:16, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 1.2497, loss: 1.2497 +2025-06-04 22:30:41,011 - pyskl - INFO - Epoch [150][1300/2353] lr: 5.501e-07, eta: 0:07:33, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 1.2420, loss: 1.2420 +2025-06-04 22:31:24,131 - pyskl - INFO - Epoch [150][1400/2353] lr: 4.507e-07, eta: 0:06:50, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 1.2209, loss: 1.2209 +2025-06-04 22:32:07,264 - pyskl - INFO - Epoch [150][1500/2353] lr: 3.611e-07, eta: 0:06:07, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2443, loss: 1.2443 +2025-06-04 22:32:50,380 - pyskl - INFO - Epoch [150][1600/2353] lr: 2.815e-07, eta: 0:05:24, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 1.2134, loss: 1.2134 +2025-06-04 22:33:33,450 - pyskl - INFO - Epoch [150][1700/2353] lr: 2.118e-07, eta: 0:04:41, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 1.2287, loss: 1.2287 +2025-06-04 22:34:16,642 - pyskl - INFO - Epoch [150][1800/2353] lr: 1.520e-07, eta: 0:03:58, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 1.2109, loss: 1.2109 +2025-06-04 22:35:00,145 - pyskl - INFO - Epoch [150][1900/2353] lr: 1.021e-07, eta: 0:03:15, time: 0.435, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2215, loss: 1.2215 +2025-06-04 22:35:43,327 - pyskl - INFO - Epoch [150][2000/2353] lr: 6.205e-08, eta: 0:02:32, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 1.2263, loss: 1.2263 +2025-06-04 22:36:26,542 - pyskl - INFO - Epoch [150][2100/2353] lr: 3.195e-08, eta: 0:01:48, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 1.1616, loss: 1.1616 +2025-06-04 22:37:09,720 - pyskl - INFO - Epoch [150][2200/2353] lr: 1.174e-08, eta: 0:01:05, time: 0.432, data_time: 0.000, memory: 13127, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 1.2728, loss: 1.2728 +2025-06-04 22:37:52,863 - pyskl - INFO - Epoch [150][2300/2353] lr: 1.444e-09, eta: 0:00:22, time: 0.431, data_time: 0.000, memory: 13127, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 1.2378, loss: 1.2378 +2025-06-04 22:38:16,196 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-06-04 22:39:41,664 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-06-04 22:39:41,741 - pyskl - INFO - +top1_acc 0.9685 +top5_acc 0.9960 +2025-06-04 22:39:41,744 - pyskl - INFO - Epoch(val) [150][1184] top1_acc: 0.9685, top5_acc: 0.9960 +2025-06-04 22:39:49,594 - pyskl - INFO - 18932 videos remain after valid thresholding +2025-06-04 22:50:31,954 - pyskl - INFO - Testing results of the last checkpoint +2025-06-04 22:50:31,954 - pyskl - INFO - top1_acc: 0.9698 +2025-06-04 22:50:31,954 - pyskl - INFO - top5_acc: 0.9957 +2025-06-04 22:50:31,954 - pyskl - INFO - load checkpoint from local path: ./work_dirs/ntu60_xview/k_1/best_top1_acc_epoch_146.pth +2025-06-04 23:01:14,164 - pyskl - INFO - Testing results of the best checkpoint +2025-06-04 23:01:14,164 - pyskl - INFO - top1_acc: 0.9701 +2025-06-04 23:01:14,164 - pyskl - INFO - top5_acc: 0.9960